id	sid	tid	token	lemma	pos
ijassa-1006	1	1	microsoft	microsoft	PROPN
ijassa-1006	1	2	word	word	NOUN
ijassa-1006	1	3	1006	1006	NUM
ijassa-1006	1	4	-	-	PUNCT
ijassa-1006	1	5	article	article	NOUN
ijassa-1006	1	6	text-6542	text-6542	VERB
ijassa-1006	1	7	-	-	PUNCT
ijassa-1006	1	8	1	1	NUM
ijassa-1006	1	9	-	-	PUNCT
ijassa-1006	1	10	18	18	NUM
ijassa-1006	1	11	-	-	PUNCT
ijassa-1006	1	12	20231220	20231220	NUM
ijassa-1006	1	13	adv	adv	PROPN
ijassa-1006	1	14	syst	syst	PROPN
ijassa-1006	1	15	sci	sci	PROPN
ijassa-1006	1	16	appl	appl	PROPN
ijassa-1006	1	17	2023	2023	NUM
ijassa-1006	1	18	;	;	PUNCT
ijassa-1006	1	19	04	04	NUM
ijassa-1006	1	20	;	;	PUNCT
ijassa-1006	1	21	156	156	NUM
ijassa-1006	1	22	-	-	SYM
ijassa-1006	1	23	178	178	NUM
ijassa-1006	1	24	published	publish	VERB
ijassa-1006	1	25	online	online	ADV
ijassa-1006	1	26	at	at	ADP
ijassa-1006	1	27	https://ijassa.ipu.ru	https://ijassa.ipu.ru	ADV
ijassa-1006	1	28	.	.	PUNCT
ijassa-1006	2	1	a	a	DET
ijassa-1006	2	2	novel	novel	ADJ
ijassa-1006	2	3	two	two	NUM
ijassa-1006	2	4	-	-	PUNCT
ijassa-1006	2	5	stage	stage	NOUN
ijassa-1006	2	6	hybrid	hybrid	ADJ
ijassa-1006	2	7	multi	multi	ADJ
ijassa-1006	2	8	-	-	ADJ
ijassa-1006	2	9	objective	objective	ADJ
ijassa-1006	2	10	differential	differential	ADJ
ijassa-1006	2	11	evolution	evolution	NOUN
ijassa-1006	2	12	with	with	ADP
ijassa-1006	2	13	opposition	opposition	NOUN
ijassa-1006	2	14	based	base	VERB
ijassa-1006	2	15	-	-	PUNCT
ijassa-1006	2	16	learning	learn	VERB
ijassa-1006	2	17	noureddine	noureddine	ADV
ijassa-1006	2	18	boukhari1	boukhari1	PROPN
ijassa-1006	2	19	*	*	PROPN
ijassa-1006	2	20	,	,	PUNCT
ijassa-1006	2	21	mohamed	mohamed	ADJ
ijassa-1006	2	22	amine	amine	ADJ
ijassa-1006	2	23	nemmich2	nemmich2	PROPN
ijassa-1006	2	24	,	,	PUNCT
ijassa-1006	2	25	fatima	fatima	PROPN
ijassa-1006	2	26	debbat3	debbat3	PROPN
ijassa-1006	2	27	,	,	PUNCT
ijassa-1006	2	28	nicolas	nicolas	PROPN
ijassa-1006	2	29	monmarché4	monmarché4	PROPN
ijassa-1006	2	30	,	,	PUNCT
ijassa-1006	2	31	mohamed	mohamed	PROPN
ijassa-1006	2	32	slimane4	slimane4	PROPN
ijassa-1006	2	33	1	1	X
ijassa-1006	2	34	)	)	PUNCT
ijassa-1006	2	35	department	department	NOUN
ijassa-1006	2	36	of	of	ADP
ijassa-1006	2	37	mathematics	mathematic	NOUN
ijassa-1006	2	38	,	,	PUNCT
ijassa-1006	2	39	evolutionary	evolutionary	ADJ
ijassa-1006	2	40	engeneering	engeneering	NOUN
ijassa-1006	2	41	&	&	CCONJ
ijassa-1006	2	42	distributed	distribute	VERB
ijassa-1006	2	43	information	information	NOUN
ijassa-1006	2	44	systems	system	NOUN
ijassa-1006	2	45	laboratory	laboratory	NOUN
ijassa-1006	2	46	(	(	PUNCT
ijassa-1006	2	47	eedis	eedi	NOUN
ijassa-1006	2	48	)	)	PUNCT
ijassa-1006	2	49	,	,	PUNCT
ijassa-1006	2	50	djillali	djillali	PROPN
ijassa-1006	2	51	liabes	liabes	PROPN
ijassa-1006	2	52	university	university	PROPN
ijassa-1006	2	53	of	of	ADP
ijassa-1006	2	54	sidi	sidi	PROPN
ijassa-1006	2	55	bel	bel	NOUN
ijassa-1006	2	56	-	-	PUNCT
ijassa-1006	2	57	abbes	abbe	NOUN
ijassa-1006	2	58	,	,	PUNCT
ijassa-1006	2	59	sidi	sidi	NOUN
ijassa-1006	2	60	belabbes	belabbe	NOUN
ijassa-1006	2	61	,	,	PUNCT
ijassa-1006	2	62	algeria	algeria	PROPN
ijassa-1006	2	63	2	2	NUM
ijassa-1006	2	64	)	)	PUNCT
ijassa-1006	2	65	department	department	NOUN
ijassa-1006	2	66	of	of	ADP
ijassa-1006	2	67	computer	computer	NOUN
ijassa-1006	2	68	science	science	NOUN
ijassa-1006	2	69	,	,	PUNCT
ijassa-1006	2	70	mathematics	mathematics	NOUN
ijassa-1006	2	71	laboratory	laboratory	NOUN
ijassa-1006	2	72	,	,	PUNCT
ijassa-1006	2	73	djillali	djillali	PROPN
ijassa-1006	2	74	liabes	liabes	PROPN
ijassa-1006	2	75	university	university	PROPN
ijassa-1006	2	76	of	of	ADP
ijassa-1006	2	77	sidi	sidi	PROPN
ijassa-1006	2	78	bel	bel	NOUN
ijassa-1006	2	79	-	-	PUNCT
ijassa-1006	2	80	abbes	abbe	NOUN
ijassa-1006	2	81	,	,	PUNCT
ijassa-1006	2	82	sidi	sidi	PROPN
ijassa-1006	2	83	bel	bel	NOUN
ijassa-1006	2	84	-	-	PUNCT
ijassa-1006	2	85	abbes	abbe	NOUN
ijassa-1006	2	86	,	,	PUNCT
ijassa-1006	2	87	algeria	algeria	PROPN
ijassa-1006	2	88	3	3	NUM
ijassa-1006	2	89	)	)	PUNCT
ijassa-1006	2	90	department	department	NOUN
ijassa-1006	2	91	of	of	ADP
ijassa-1006	2	92	computer	computer	NOUN
ijassa-1006	2	93	science	science	NOUN
ijassa-1006	2	94	,	,	PUNCT
ijassa-1006	2	95	university	university	NOUN
ijassa-1006	2	96	mustapha	mustapha	PROPN
ijassa-1006	2	97	stambouli	stambouli	PROPN
ijassa-1006	2	98	of	of	ADP
ijassa-1006	2	99	mascara	mascara	NOUN
ijassa-1006	2	100	,	,	PUNCT
ijassa-1006	2	101	mascara	mascara	PROPN
ijassa-1006	2	102	,	,	PUNCT
ijassa-1006	2	103	algeria	algeria	PROPN
ijassa-1006	2	104	4	4	NUM
ijassa-1006	2	105	)	)	PUNCT
ijassa-1006	2	106	université	université	PROPN
ijassa-1006	2	107	de	de	PROPN
ijassa-1006	2	108	tours	tour	NOUN
ijassa-1006	2	109	,	,	PUNCT
ijassa-1006	2	110	laboratoire	laboratoire	PROPN
ijassa-1006	2	111	d’informatique	d’informatique	PROPN
ijassa-1006	2	112	fondamentale	fondamentale	PROPN
ijassa-1006	2	113	et	et	PROPN
ijassa-1006	2	114	appliquée	appliquée	PROPN
ijassa-1006	2	115	de	de	PROPN
ijassa-1006	2	116	tours	tour	NOUN
ijassa-1006	2	117	(	(	PUNCT
ijassa-1006	2	118	lifat	lifat	PROPN
ijassa-1006	2	119	)	)	PUNCT
ijassa-1006	2	120	,	,	PUNCT
ijassa-1006	2	121	tours	tour	NOUN
ijassa-1006	2	122	,	,	PUNCT
ijassa-1006	2	123	france	france	PROPN
ijassa-1006	2	124	abstract	abstract	NOUN
ijassa-1006	2	125	:	:	PUNCT
ijassa-1006	2	126	evolutionary	evolutionary	ADJ
ijassa-1006	2	127	algorithms	algorithm	NOUN
ijassa-1006	2	128	have	have	AUX
ijassa-1006	2	129	been	be	AUX
ijassa-1006	2	130	shown	show	VERB
ijassa-1006	2	131	to	to	PART
ijassa-1006	2	132	be	be	AUX
ijassa-1006	2	133	powerful	powerful	ADJ
ijassa-1006	2	134	for	for	ADP
ijassa-1006	2	135	solving	solve	VERB
ijassa-1006	2	136	multi	multi	ADJ
ijassa-1006	2	137	-	-	ADJ
ijassa-1006	2	138	objective	objective	ADJ
ijassa-1006	2	139	optimization	optimization	NOUN
ijassa-1006	2	140	problems	problem	NOUN
ijassa-1006	2	141	,	,	PUNCT
ijassa-1006	2	142	where	where	SCONJ
ijassa-1006	2	143	non	non	ADJ
ijassa-1006	2	144	-	-	ADJ
ijassa-1006	2	145	dominated	dominated	ADJ
ijassa-1006	2	146	sorting	sorting	NOUN
ijassa-1006	2	147	is	be	AUX
ijassa-1006	2	148	a	a	DET
ijassa-1006	2	149	widely	widely	ADV
ijassa-1006	2	150	adopted	adopt	VERB
ijassa-1006	2	151	selection	selection	NOUN
ijassa-1006	2	152	method	method	NOUN
ijassa-1006	2	153	.	.	PUNCT
ijassa-1006	3	1	in	in	ADP
ijassa-1006	3	2	this	this	DET
ijassa-1006	3	3	paper	paper	NOUN
ijassa-1006	3	4	,	,	PUNCT
ijassa-1006	3	5	a	a	DET
ijassa-1006	3	6	new	new	ADJ
ijassa-1006	3	7	two	two	NUM
ijassa-1006	3	8	stage	stage	NOUN
ijassa-1006	3	9	hybridized	hybridize	VERB
ijassa-1006	3	10	multi	multi	ADJ
ijassa-1006	3	11	-	-	ADJ
ijassa-1006	3	12	objective	objective	ADJ
ijassa-1006	3	13	evolutionary	evolutionary	ADJ
ijassa-1006	3	14	algorithm	algorithm	NOUN
ijassa-1006	3	15	,	,	PUNCT
ijassa-1006	3	16	are	be	AUX
ijassa-1006	3	17	evolved	evolve	VERB
ijassa-1006	3	18	.	.	PUNCT
ijassa-1006	4	1	firstly	firstly	ADV
ijassa-1006	4	2	,	,	PUNCT
ijassa-1006	4	3	multi	multi	ADJ
ijassa-1006	4	4	-	-	ADJ
ijassa-1006	4	5	objective	objective	ADJ
ijassa-1006	4	6	differential	differential	ADJ
ijassa-1006	4	7	evolution	evolution	NOUN
ijassa-1006	4	8	based	base	VERB
ijassa-1006	4	9	on	on	ADP
ijassa-1006	4	10	ranking	rank	VERB
ijassa-1006	4	11	mutation	mutation	NOUN
ijassa-1006	4	12	is	be	AUX
ijassa-1006	4	13	applied	apply	VERB
ijassa-1006	4	14	using	use	VERB
ijassa-1006	4	15	nondominated	nondominated	ADJ
ijassa-1006	4	16	sorting	sorting	NOUN
ijassa-1006	4	17	and	and	CCONJ
ijassa-1006	4	18	crowding	crowd	VERB
ijassa-1006	4	19	distance	distance	NOUN
ijassa-1006	4	20	.	.	PUNCT
ijassa-1006	5	1	secondly	secondly	ADV
ijassa-1006	5	2	,	,	PUNCT
ijassa-1006	5	3	jumping	jump	VERB
ijassa-1006	5	4	probability	probability	NOUN
ijassa-1006	5	5	is	be	AUX
ijassa-1006	5	6	used	use	VERB
ijassa-1006	5	7	in	in	ADP
ijassa-1006	5	8	second	second	ADJ
ijassa-1006	5	9	stage	stage	NOUN
ijassa-1006	5	10	in	in	ADP
ijassa-1006	5	11	order	order	NOUN
ijassa-1006	5	12	to	to	PART
ijassa-1006	5	13	meet	meet	VERB
ijassa-1006	5	14	the	the	DET
ijassa-1006	5	15	objective	objective	NOUN
ijassa-1006	5	16	of	of	ADP
ijassa-1006	5	17	balancing	balance	VERB
ijassa-1006	5	18	the	the	DET
ijassa-1006	5	19	precision	precision	NOUN
ijassa-1006	5	20	of	of	ADP
ijassa-1006	5	21	the	the	DET
ijassa-1006	5	22	solution	solution	NOUN
ijassa-1006	5	23	and	and	CCONJ
ijassa-1006	5	24	the	the	DET
ijassa-1006	5	25	rate	rate	NOUN
ijassa-1006	5	26	of	of	ADP
ijassa-1006	5	27	convergence	convergence	NOUN
ijassa-1006	5	28	while	while	SCONJ
ijassa-1006	5	29	maintaining	maintain	VERB
ijassa-1006	5	30	the	the	DET
ijassa-1006	5	31	diversity	diversity	NOUN
ijassa-1006	5	32	of	of	ADP
ijassa-1006	5	33	the	the	DET
ijassa-1006	5	34	population	population	NOUN
ijassa-1006	5	35	by	by	ADP
ijassa-1006	5	36	opposition	opposition	NOUN
ijassa-1006	5	37	-	-	PUNCT
ijassa-1006	5	38	based	base	VERB
ijassa-1006	5	39	learning	learning	NOUN
ijassa-1006	5	40	technique	technique	NOUN
ijassa-1006	5	41	.	.	PUNCT
ijassa-1006	6	1	through	through	ADP
ijassa-1006	6	2	the	the	DET
ijassa-1006	6	3	validation	validation	NOUN
ijassa-1006	6	4	of	of	ADP
ijassa-1006	6	5	the	the	DET
ijassa-1006	6	6	new	new	ADJ
ijassa-1006	6	7	approach	approach	NOUN
ijassa-1006	6	8	using	use	VERB
ijassa-1006	6	9	a	a	DET
ijassa-1006	6	10	suite	suite	NOUN
ijassa-1006	6	11	of	of	ADP
ijassa-1006	6	12	carefully	carefully	ADV
ijassa-1006	6	13	selected	select	VERB
ijassa-1006	6	14	test	test	NOUN
ijassa-1006	6	15	benchmarks	benchmark	NOUN
ijassa-1006	6	16	problems	problem	NOUN
ijassa-1006	6	17	with	with	ADP
ijassa-1006	6	18	complex	complex	ADJ
ijassa-1006	6	19	pareto	pareto	ADJ
ijassa-1006	6	20	sets	set	NOUN
ijassa-1006	6	21	and	and	CCONJ
ijassa-1006	6	22	solve	solve	VERB
ijassa-1006	6	23	a	a	DET
ijassa-1006	6	24	large	large	ADJ
ijassa-1006	6	25	portfolio	portfolio	NOUN
ijassa-1006	6	26	complex	complex	ADJ
ijassa-1006	6	27	problem	problem	NOUN
ijassa-1006	6	28	,	,	PUNCT
ijassa-1006	6	29	it	it	PRON
ijassa-1006	6	30	is	be	AUX
ijassa-1006	6	31	observed	observe	VERB
ijassa-1006	6	32	that	that	SCONJ
ijassa-1006	6	33	our	our	PRON
ijassa-1006	6	34	hybridization	hybridization	NOUN
ijassa-1006	6	35	achieves	achieve	VERB
ijassa-1006	6	36	overall	overall	ADV
ijassa-1006	6	37	better	well	ADJ
ijassa-1006	6	38	performance	performance	NOUN
ijassa-1006	6	39	in	in	ADP
ijassa-1006	6	40	terms	term	NOUN
ijassa-1006	6	41	of	of	ADP
ijassa-1006	6	42	convergence	convergence	NOUN
ijassa-1006	6	43	and	and	CCONJ
ijassa-1006	6	44	diversity	diversity	NOUN
ijassa-1006	6	45	compared	compare	VERB
ijassa-1006	6	46	to	to	ADP
ijassa-1006	6	47	other	other	ADJ
ijassa-1006	6	48	algorithms	algorithm	NOUN
ijassa-1006	6	49	of	of	ADP
ijassa-1006	6	50	literature	literature	NOUN
ijassa-1006	6	51	.	.	PUNCT
ijassa-1006	7	1	keywords	keyword	NOUN
ijassa-1006	7	2	:	:	PUNCT
ijassa-1006	7	3	evolutionary	evolutionary	ADJ
ijassa-1006	7	4	multi	multi	ADJ
ijassa-1006	7	5	-	-	ADJ
ijassa-1006	7	6	objective	objective	ADJ
ijassa-1006	7	7	optimization	optimization	NOUN
ijassa-1006	7	8	,	,	PUNCT
ijassa-1006	7	9	differential	differential	ADJ
ijassa-1006	7	10	evolution	evolution	NOUN
ijassa-1006	7	11	,	,	PUNCT
ijassa-1006	7	12	pareto	pareto	ADJ
ijassa-1006	7	13	dominance	dominance	NOUN
ijassa-1006	7	14	,	,	PUNCT
ijassa-1006	7	15	opposition	opposition	NOUN
ijassa-1006	7	16	-	-	PUNCT
ijassa-1006	7	17	based	base	VERB
ijassa-1006	7	18	learning	learning	NOUN
ijassa-1006	7	19	,	,	PUNCT
ijassa-1006	7	20	hybrid	hybrid	ADJ
ijassa-1006	7	21	algorithm	algorithm	NOUN
ijassa-1006	7	22	,	,	PUNCT
ijassa-1006	7	23	portfolio	portfolio	NOUN
ijassa-1006	7	24	optimization	optimization	NOUN
ijassa-1006	7	25	problem	problem	NOUN
ijassa-1006	7	26	1	1	NUM
ijassa-1006	7	27	.	.	PUNCT
ijassa-1006	8	1	introduction	introduction	NOUN
ijassa-1006	8	2	among	among	ADP
ijassa-1006	8	3	the	the	DET
ijassa-1006	8	4	recent	recent	ADJ
ijassa-1006	8	5	advances	advance	NOUN
ijassa-1006	8	6	in	in	ADP
ijassa-1006	8	7	optimization	optimization	NOUN
ijassa-1006	8	8	algorithms	algorithm	NOUN
ijassa-1006	8	9	,	,	PUNCT
ijassa-1006	8	10	evolutionary	evolutionary	ADJ
ijassa-1006	8	11	algorithms	algorithm	NOUN
ijassa-1006	8	12	(	(	PUNCT
ijassa-1006	8	13	eas	ea	NOUN
ijassa-1006	8	14	)	)	PUNCT
ijassa-1006	8	15	have	have	AUX
ijassa-1006	8	16	proven	prove	VERB
ijassa-1006	8	17	successful	successful	ADJ
ijassa-1006	8	18	in	in	ADP
ijassa-1006	8	19	overcoming	overcome	VERB
ijassa-1006	8	20	difficulties	difficulty	NOUN
ijassa-1006	8	21	with	with	ADP
ijassa-1006	8	22	traditional	traditional	ADJ
ijassa-1006	8	23	optimization	optimization	NOUN
ijassa-1006	8	24	techniques	technique	NOUN
ijassa-1006	8	25	either	either	CCONJ
ijassa-1006	8	26	in	in	ADP
ijassa-1006	8	27	their	their	PRON
ijassa-1006	8	28	standard	standard	ADJ
ijassa-1006	8	29	version	version	NOUN
ijassa-1006	8	30	,	,	PUNCT
ijassa-1006	8	31	or	or	CCONJ
ijassa-1006	8	32	hybridized	hybridize	VERB
ijassa-1006	8	33	[	[	X
ijassa-1006	8	34	1	1	NUM
ijassa-1006	8	35	]	]	PUNCT
ijassa-1006	8	36	.	.	PUNCT
ijassa-1006	9	1	eas	ea	NOUN
ijassa-1006	9	2	work	work	VERB
ijassa-1006	9	3	with	with	ADP
ijassa-1006	9	4	a	a	DET
ijassa-1006	9	5	set	set	NOUN
ijassa-1006	9	6	of	of	ADP
ijassa-1006	9	7	solutions	solution	NOUN
ijassa-1006	9	8	,	,	PUNCT
ijassa-1006	9	9	called	call	VERB
ijassa-1006	9	10	population	population	NOUN
ijassa-1006	9	11	.	.	PUNCT
ijassa-1006	10	1	this	this	DET
ijassa-1006	10	2	feature	feature	NOUN
ijassa-1006	10	3	is	be	AUX
ijassa-1006	10	4	particularly	particularly	ADV
ijassa-1006	10	5	suitable	suitable	ADJ
ijassa-1006	10	6	for	for	ADP
ijassa-1006	10	7	solving	solve	VERB
ijassa-1006	10	8	multi	multi	ADJ
ijassa-1006	10	9	-	-	ADJ
ijassa-1006	10	10	objective	objective	ADJ
ijassa-1006	10	11	problems	problem	NOUN
ijassa-1006	10	12	,	,	PUNCT
ijassa-1006	10	13	as	as	SCONJ
ijassa-1006	10	14	it	it	PRON
ijassa-1006	10	15	enables	enable	VERB
ijassa-1006	10	16	approximating	approximate	VERB
ijassa-1006	10	17	the	the	DET
ijassa-1006	10	18	efficient	efficient	ADJ
ijassa-1006	10	19	frontier	frontier	NOUN
ijassa-1006	10	20	in	in	ADP
ijassa-1006	10	21	a	a	DET
ijassa-1006	10	22	single	single	ADJ
ijassa-1006	10	23	run	run	NOUN
ijassa-1006	10	24	.	.	PUNCT
ijassa-1006	11	1	a	a	DET
ijassa-1006	11	2	multi	multi	ADJ
ijassa-1006	11	3	-	-	ADJ
ijassa-1006	11	4	objective	objective	ADJ
ijassa-1006	11	5	evolutionary	evolutionary	ADJ
ijassa-1006	11	6	algorithm	algorithm	NOUN
ijassa-1006	11	7	(	(	PUNCT
ijassa-1006	11	8	moea	moea	NOUN
ijassa-1006	11	9	)	)	PUNCT
ijassa-1006	11	10	is	be	AUX
ijassa-1006	11	11	a	a	DET
ijassa-1006	11	12	modified	modify	VERB
ijassa-1006	11	13	version	version	NOUN
ijassa-1006	11	14	of	of	ADP
ijassa-1006	11	15	the	the	DET
ijassa-1006	11	16	traditional	traditional	ADJ
ijassa-1006	11	17	genetic	genetic	ADJ
ijassa-1006	11	18	algorithm	algorithm	NOUN
ijassa-1006	11	19	(	(	PUNCT
ijassa-1006	11	20	ga	ga	NOUN
ijassa-1006	11	21	)	)	PUNCT
ijassa-1006	11	22	also	also	ADV
ijassa-1006	11	23	known	know	VERB
ijassa-1006	11	24	as	as	ADP
ijassa-1006	11	25	the	the	DET
ijassa-1006	11	26	simple	simple	PROPN
ijassa-1006	11	27	ga	ga	PROPN
ijassa-1006	11	28	,	,	PUNCT
ijassa-1006	11	29	designed	design	VERB
ijassa-1006	11	30	to	to	PART
ijassa-1006	11	31	solve	solve	VERB
ijassa-1006	11	32	multi	multi	ADJ
ijassa-1006	11	33	-	-	ADJ
ijassa-1006	11	34	objective	objective	ADJ
ijassa-1006	11	35	optimization	optimization	NOUN
ijassa-1006	11	36	problems	problem	NOUN
ijassa-1006	11	37	(	(	PUNCT
ijassa-1006	11	38	mops	mop	NOUN
ijassa-1006	11	39	)	)	PUNCT
ijassa-1006	11	40	.	.	PUNCT
ijassa-1006	12	1	moeas	moea	NOUN
ijassa-1006	12	2	have	have	AUX
ijassa-1006	12	3	been	be	AUX
ijassa-1006	12	4	recognized	recognize	VERB
ijassa-1006	12	5	to	to	PART
ijassa-1006	12	6	be	be	AUX
ijassa-1006	12	7	suitable	suitable	ADJ
ijassa-1006	12	8	for	for	ADP
ijassa-1006	12	9	solving	solve	VERB
ijassa-1006	12	10	multi	multi	ADJ
ijassa-1006	12	11	-	-	ADJ
ijassa-1006	12	12	objective	objective	ADJ
ijassa-1006	12	13	optimization	optimization	NOUN
ijassa-1006	12	14	problems	problem	NOUN
ijassa-1006	12	15	because	because	SCONJ
ijassa-1006	12	16	of	of	ADP
ijassa-1006	12	17	their	their	PRON
ijassa-1006	12	18	ability	ability	NOUN
ijassa-1006	12	19	to	to	PART
ijassa-1006	12	20	find	find	VERB
ijassa-1006	12	21	good	good	ADJ
ijassa-1006	12	22	solutions	solution	NOUN
ijassa-1006	12	23	for	for	ADP
ijassa-1006	12	24	competing	compete	VERB
ijassa-1006	12	25	objective	objective	ADJ
ijassa-1006	12	26	functions	function	NOUN
ijassa-1006	12	27	simultaneously	simultaneously	ADV
ijassa-1006	12	28	and	and	CCONJ
ijassa-1006	12	29	to	to	PART
ijassa-1006	12	30	search	search	VERB
ijassa-1006	12	31	for	for	ADP
ijassa-1006	12	32	multiple	multiple	ADJ
ijassa-1006	12	33	non	non	ADJ
ijassa-1006	12	34	-	-	ADJ
ijassa-1006	12	35	dominated	dominate	VERB
ijassa-1006	12	36	solutions	solution	NOUN
ijassa-1006	12	37	simultaneously	simultaneously	ADV
ijassa-1006	12	38	in	in	ADP
ijassa-1006	12	39	the	the	DET
ijassa-1006	12	40	population	population	NOUN
ijassa-1006	12	41	of	of	ADP
ijassa-1006	12	42	candidate	candidate	NOUN
ijassa-1006	12	43	solutions	solution	NOUN
ijassa-1006	12	44	.	.	PUNCT
ijassa-1006	13	1	this	this	DET
ijassa-1006	13	2	capability	capability	NOUN
ijassa-1006	13	3	enables	enable	VERB
ijassa-1006	13	4	them	they	PRON
ijassa-1006	13	5	to	to	PART
ijassa-1006	13	6	find	find	VERB
ijassa-1006	13	7	several	several	ADJ
ijassa-1006	13	8	trade	trade	NOUN
ijassa-1006	13	9	-	-	PUNCT
ijassa-1006	13	10	off	off	ADP
ijassa-1006	13	11	solutions	solution	NOUN
ijassa-1006	13	12	for	for	ADP
ijassa-1006	13	13	all	all	DET
ijassa-1006	13	14	objectives	objective	NOUN
ijassa-1006	13	15	in	in	ADP
ijassa-1006	13	16	a	a	DET
ijassa-1006	13	17	single	single	ADJ
ijassa-1006	13	18	run	run	NOUN
ijassa-1006	13	19	of	of	ADP
ijassa-1006	13	20	the	the	DET
ijassa-1006	13	21	algorithm	algorithm	NOUN
ijassa-1006	13	22	,	,	PUNCT
ijassa-1006	13	23	instead	instead	ADV
ijassa-1006	13	24	of	of	ADP
ijassa-1006	13	25	having	have	VERB
ijassa-1006	13	26	to	to	PART
ijassa-1006	13	27	perform	perform	VERB
ijassa-1006	13	28	a	a	DET
ijassa-1006	13	29	series	series	NOUN
ijassa-1006	13	30	of	of	ADP
ijassa-1006	13	31	separate	separate	ADJ
ijassa-1006	13	32	runs	run	NOUN
ijassa-1006	13	33	as	as	ADP
ijassa-1006	13	34	in	in	ADP
ijassa-1006	13	35	the	the	DET
ijassa-1006	13	36	case	case	NOUN
ijassa-1006	13	37	of	of	ADP
ijassa-1006	13	38	the	the	DET
ijassa-1006	13	39	traditional	traditional	ADJ
ijassa-1006	13	40	techniques	technique	NOUN
ijassa-1006	13	41	such	such	ADJ
ijassa-1006	13	42	as	as	ADP
ijassa-1006	13	43	weighted	weight	VERB
ijassa-1006	13	44	sum	sum	NOUN
ijassa-1006	13	45	,	,	PUNCT
ijassa-1006	13	46	goal	goal	NOUN
ijassa-1006	13	47	programming	programming	NOUN
ijassa-1006	13	48	and	and	CCONJ
ijassa-1006	13	49	weighted	weight	VERB
ijassa-1006	13	50	min	min	PROPN
ijassa-1006	13	51	-	-	ADJ
ijassa-1006	13	52	max	max	PROPN
ijassa-1006	13	53	methods	method	NOUN
ijassa-1006	13	54	.	.	PUNCT
ijassa-1006	14	1	ideally	ideally	ADV
ijassa-1006	14	2	,	,	PUNCT
ijassa-1006	14	3	a	a	DET
ijassa-1006	14	4	moea	moea	NOUN
ijassa-1006	14	5	returns	return	VERB
ijassa-1006	14	6	a	a	DET
ijassa-1006	14	7	pareto	pareto	NOUN
ijassa-1006	14	8	-	-	PUNCT
ijassa-1006	14	9	optimal	optimal	ADJ
ijassa-1006	14	10	*	*	PUNCT
ijassa-1006	14	11	corresponding	correspond	VERB
ijassa-1006	14	12	author	author	NOUN
ijassa-1006	14	13	:	:	PUNCT
ijassa-1006	14	14	boukhari.noureddine@gmail.com	boukhari.noureddine@gmail.com	X
ijassa-1006	14	15	a	a	DET
ijassa-1006	14	16	novel	novel	ADJ
ijassa-1006	14	17	two	two	NUM
ijassa-1006	14	18	-	-	PUNCT
ijassa-1006	14	19	stage	stage	NOUN
ijassa-1006	14	20	hybrid	hybrid	ADJ
ijassa-1006	14	21	multi	multi	ADJ
ijassa-1006	14	22	-	-	ADJ
ijassa-1006	14	23	objective	objective	ADJ
ijassa-1006	14	24	differential	differential	ADJ
ijassa-1006	14	25	evolution	evolution	NOUN
ijassa-1006	14	26	…	…	PUNCT
ijassa-1006	14	27	157	157	NUM
ijassa-1006	14	28	copyright	copyright	NOUN
ijassa-1006	14	29	©	©	PROPN
ijassa-1006	14	30	2023	2023	NUM
ijassa-1006	14	31	assa	assa	NOUN
ijassa-1006	14	32	.	.	PUNCT
ijassa-1006	15	1	adv	adv	PROPN
ijassa-1006	15	2	.	.	PUNCT
ijassa-1006	16	1	in	in	ADP
ijassa-1006	16	2	systems	system	NOUN
ijassa-1006	16	3	science	science	NOUN
ijassa-1006	16	4	and	and	CCONJ
ijassa-1006	16	5	appl	appl	NOUN
ijassa-1006	16	6	.	.	PUNCT
ijassa-1006	17	1	(	(	PUNCT
ijassa-1006	17	2	2023	2023	NUM
ijassa-1006	17	3	)	)	PUNCT
ijassa-1006	17	4	set	set	NOUN
ijassa-1006	17	5	,	,	PUNCT
ijassa-1006	17	6	the	the	DET
ijassa-1006	17	7	solutions	solution	NOUN
ijassa-1006	17	8	not	not	PART
ijassa-1006	17	9	dominated	dominate	VERB
ijassa-1006	17	10	by	by	ADP
ijassa-1006	17	11	any	any	DET
ijassa-1006	17	12	other	other	ADJ
ijassa-1006	17	13	solution	solution	NOUN
ijassa-1006	17	14	in	in	ADP
ijassa-1006	17	15	the	the	DET
ijassa-1006	17	16	search	search	NOUN
ijassa-1006	17	17	space	space	NOUN
ijassa-1006	17	18	.	.	PUNCT
ijassa-1006	18	1	in	in	ADP
ijassa-1006	18	2	addition	addition	NOUN
ijassa-1006	18	3	,	,	PUNCT
ijassa-1006	18	4	moeas	moea	NOUN
ijassa-1006	18	5	are	be	AUX
ijassa-1006	18	6	less	less	ADV
ijassa-1006	18	7	susceptible	susceptible	ADJ
ijassa-1006	18	8	to	to	ADP
ijassa-1006	18	9	the	the	DET
ijassa-1006	18	10	shape	shape	NOUN
ijassa-1006	18	11	or	or	CCONJ
ijassa-1006	18	12	continuity	continuity	NOUN
ijassa-1006	18	13	of	of	ADP
ijassa-1006	18	14	the	the	DET
ijassa-1006	18	15	pareto	pareto	VERB
ijassa-1006	18	16	-	-	PUNCT
ijassa-1006	18	17	optimal	optimal	ADJ
ijassa-1006	18	18	front	front	NOUN
ijassa-1006	18	19	,	,	PUNCT
ijassa-1006	18	20	whereas	whereas	SCONJ
ijassa-1006	18	21	these	these	DET
ijassa-1006	18	22	two	two	NUM
ijassa-1006	18	23	issues	issue	NOUN
ijassa-1006	18	24	pose	pose	VERB
ijassa-1006	18	25	a	a	DET
ijassa-1006	18	26	problem	problem	NOUN
ijassa-1006	18	27	for	for	ADP
ijassa-1006	18	28	the	the	DET
ijassa-1006	18	29	mentioned	mention	VERB
ijassa-1006	18	30	traditional	traditional	ADJ
ijassa-1006	18	31	techniques	technique	NOUN
ijassa-1006	18	32	.	.	PUNCT
ijassa-1006	19	1	in	in	ADP
ijassa-1006	19	2	the	the	DET
ijassa-1006	19	3	past	past	ADJ
ijassa-1006	19	4	two	two	NUM
ijassa-1006	19	5	decades	decade	NOUN
ijassa-1006	19	6	,	,	PUNCT
ijassa-1006	19	7	multi	multi	ADJ
ijassa-1006	19	8	-	-	ADJ
ijassa-1006	19	9	objectives	objectives	ADJ
ijassa-1006	19	10	optimization	optimization	NOUN
ijassa-1006	19	11	has	have	AUX
ijassa-1006	19	12	attracted	attract	VERB
ijassa-1006	19	13	increasing	increase	VERB
ijassa-1006	19	14	interests	interest	NOUN
ijassa-1006	19	15	in	in	ADP
ijassa-1006	19	16	the	the	DET
ijassa-1006	19	17	evolutionary	evolutionary	ADJ
ijassa-1006	19	18	computation	computation	NOUN
ijassa-1006	19	19	community	community	NOUN
ijassa-1006	19	20	,	,	PUNCT
ijassa-1006	19	21	and	and	CCONJ
ijassa-1006	19	22	a	a	DET
ijassa-1006	19	23	large	large	ADJ
ijassa-1006	19	24	number	number	NOUN
ijassa-1006	19	25	of	of	ADP
ijassa-1006	19	26	multi	multi	ADJ
ijassa-1006	19	27	-	-	ADJ
ijassa-1006	19	28	objective	objective	ADJ
ijassa-1006	19	29	optimization	optimization	NOUN
ijassa-1006	19	30	algorithms	algorithm	NOUN
ijassa-1006	19	31	have	have	AUX
ijassa-1006	19	32	been	be	AUX
ijassa-1006	19	33	developed	develop	VERB
ijassa-1006	19	34	on	on	ADP
ijassa-1006	19	35	the	the	DET
ijassa-1006	19	36	basis	basis	NOUN
ijassa-1006	19	37	of	of	ADP
ijassa-1006	19	38	different	different	ADJ
ijassa-1006	19	39	population	population	NOUN
ijassa-1006	19	40	based	base	VERB
ijassa-1006	19	41	meta	meta	NOUN
ijassa-1006	19	42	-	-	PUNCT
ijassa-1006	19	43	heuristics	heuristic	NOUN
ijassa-1006	19	44	,	,	PUNCT
ijassa-1006	19	45	such	such	ADJ
ijassa-1006	19	46	as	as	ADP
ijassa-1006	19	47	genetic	genetic	ADJ
ijassa-1006	19	48	algorithm	algorithm	NOUN
ijassa-1006	20	1	[	[	X
ijassa-1006	20	2	2	2	NUM
ijassa-1006	20	3	]	]	PUNCT
ijassa-1006	20	4	,	,	PUNCT
ijassa-1006	20	5	differential	differential	ADJ
ijassa-1006	20	6	evolution	evolution	NOUN
ijassa-1006	20	7	algorithm	algorithm	NOUN
ijassa-1006	21	1	[	[	X
ijassa-1006	21	2	3	3	NUM
ijassa-1006	21	3	]	]	PUNCT
ijassa-1006	21	4	,	,	PUNCT
ijassa-1006	21	5	firefly	firefly	NOUN
ijassa-1006	21	6	algorithm	algorithm	NOUN
ijassa-1006	22	1	[	[	X
ijassa-1006	22	2	4	4	NUM
ijassa-1006	22	3	]	]	PUNCT
ijassa-1006	22	4	,	,	PUNCT
ijassa-1006	22	5	particle	particle	NOUN
ijassa-1006	22	6	swarm	swarm	NOUN
ijassa-1006	22	7	optimization	optimization	NOUN
ijassa-1006	22	8	algorithm	algorithm	NOUN
ijassa-1006	23	1	[	[	X
ijassa-1006	23	2	5	5	NUM
ijassa-1006	23	3	]	]	PUNCT
ijassa-1006	23	4	,	,	PUNCT
ijassa-1006	23	5	sms	sms	PROPN
ijassa-1006	23	6	-	-	PUNCT
ijassa-1006	23	7	emoa[6	emoa[6	VERB
ijassa-1006	23	8	]	]	PUNCT
ijassa-1006	23	9	.	.	PUNCT
ijassa-1006	24	1	although	although	SCONJ
ijassa-1006	24	2	various	various	ADJ
ijassa-1006	24	3	approaches	approach	NOUN
ijassa-1006	24	4	have	have	AUX
ijassa-1006	24	5	been	be	AUX
ijassa-1006	24	6	adopted	adopt	VERB
ijassa-1006	24	7	for	for	ADP
ijassa-1006	24	8	selection	selection	NOUN
ijassa-1006	24	9	[	[	X
ijassa-1006	24	10	7	7	NUM
ijassa-1006	24	11	]	]	PUNCT
ijassa-1006	24	12	,	,	PUNCT
ijassa-1006	24	13	most	most	ADJ
ijassa-1006	24	14	moeas	moea	NOUN
ijassa-1006	24	15	adopt	adopt	VERB
ijassa-1006	24	16	the	the	DET
ijassa-1006	24	17	pareto	pareto	NOUN
ijassa-1006	24	18	-	-	PUNCT
ijassa-1006	24	19	based	base	VERB
ijassa-1006	24	20	approach	approach	NOUN
ijassa-1006	24	21	,	,	PUNCT
ijassa-1006	24	22	i.e.	i.e.	X
ijassa-1006	24	23	,	,	PUNCT
ijassa-1006	24	24	the	the	DET
ijassa-1006	24	25	qualities	quality	NOUN
ijassa-1006	24	26	of	of	ADP
ijassa-1006	24	27	the	the	DET
ijassa-1006	24	28	candidate	candidate	NOUN
ijassa-1006	24	29	solutions	solution	NOUN
ijassa-1006	24	30	are	be	AUX
ijassa-1006	24	31	compared	compare	VERB
ijassa-1006	24	32	using	use	VERB
ijassa-1006	24	33	pareto	pareto	ADJ
ijassa-1006	24	34	dominance	dominance	NOUN
ijassa-1006	24	35	.	.	PUNCT
ijassa-1006	25	1	among	among	ADP
ijassa-1006	25	2	various	various	ADJ
ijassa-1006	25	3	dominance	dominance	NOUN
ijassa-1006	25	4	comparison	comparison	NOUN
ijassa-1006	25	5	mechanisms	mechanism	NOUN
ijassa-1006	25	6	,	,	PUNCT
ijassa-1006	25	7	non	non	ADJ
ijassa-1006	25	8	-	-	ADJ
ijassa-1006	25	9	dominated	dominated	ADJ
ijassa-1006	25	10	sorting	sorting	NOUN
ijassa-1006	25	11	has	have	AUX
ijassa-1006	25	12	been	be	AUX
ijassa-1006	25	13	shown	show	VERB
ijassa-1006	25	14	to	to	PART
ijassa-1006	25	15	be	be	AUX
ijassa-1006	25	16	very	very	ADV
ijassa-1006	25	17	effective	effective	ADJ
ijassa-1006	25	18	for	for	ADP
ijassa-1006	25	19	finding	find	VERB
ijassa-1006	25	20	pareto	pareto	VERB
ijassa-1006	25	21	-	-	PUNCT
ijassa-1006	25	22	optimal	optimal	ADJ
ijassa-1006	25	23	solutions	solution	NOUN
ijassa-1006	25	24	.	.	PUNCT
ijassa-1006	26	1	much	much	ADJ
ijassa-1006	26	2	work	work	NOUN
ijassa-1006	26	3	has	have	AUX
ijassa-1006	26	4	also	also	ADV
ijassa-1006	26	5	been	be	AUX
ijassa-1006	26	6	done	do	VERB
ijassa-1006	26	7	to	to	PART
ijassa-1006	26	8	efficiently	efficiently	ADV
ijassa-1006	26	9	store	store	VERB
ijassa-1006	26	10	non	non	ADJ
ijassa-1006	26	11	dominated	dominate	VERB
ijassa-1006	26	12	solutions	solution	NOUN
ijassa-1006	26	13	found	find	VERB
ijassa-1006	26	14	during	during	ADP
ijassa-1006	26	15	search	search	NOUN
ijassa-1006	26	16	in	in	ADP
ijassa-1006	26	17	an	an	DET
ijassa-1006	26	18	archive	archive	NOUN
ijassa-1006	26	19	.	.	PUNCT
ijassa-1006	27	1	non	non	ADJ
ijassa-1006	27	2	-	-	ADJ
ijassa-1006	27	3	dominated	dominated	ADJ
ijassa-1006	27	4	sorting	sorting	NOUN
ijassa-1006	27	5	is	be	AUX
ijassa-1006	27	6	a	a	DET
ijassa-1006	27	7	procedure	procedure	NOUN
ijassa-1006	27	8	where	where	SCONJ
ijassa-1006	27	9	solutions	solution	NOUN
ijassa-1006	27	10	in	in	ADP
ijassa-1006	27	11	the	the	DET
ijassa-1006	27	12	population	population	NOUN
ijassa-1006	27	13	are	be	AUX
ijassa-1006	27	14	assigned	assign	VERB
ijassa-1006	27	15	to	to	ADP
ijassa-1006	27	16	different	different	ADJ
ijassa-1006	27	17	fronts	front	NOUN
ijassa-1006	27	18	based	base	VERB
ijassa-1006	27	19	on	on	ADP
ijassa-1006	27	20	their	their	PRON
ijassa-1006	27	21	dominance	dominance	NOUN
ijassa-1006	27	22	relationships	relationship	NOUN
ijassa-1006	27	23	.	.	PUNCT
ijassa-1006	28	1	differential	differential	ADJ
ijassa-1006	28	2	evolution	evolution	NOUN
ijassa-1006	28	3	(	(	PUNCT
ijassa-1006	28	4	de	de	ADJ
ijassa-1006	28	5	)	)	PUNCT
ijassa-1006	28	6	is	be	AUX
ijassa-1006	28	7	a	a	DET
ijassa-1006	28	8	simple	simple	ADJ
ijassa-1006	28	9	and	and	CCONJ
ijassa-1006	28	10	efficient	efficient	ADJ
ijassa-1006	28	11	population	population	NOUN
ijassa-1006	28	12	-	-	PUNCT
ijassa-1006	28	13	based	base	VERB
ijassa-1006	28	14	ea	ea	NOUN
ijassa-1006	28	15	that	that	PRON
ijassa-1006	28	16	has	have	AUX
ijassa-1006	28	17	been	be	AUX
ijassa-1006	28	18	reported	report	VERB
ijassa-1006	28	19	in	in	ADP
ijassa-1006	28	20	several	several	ADJ
ijassa-1006	28	21	studies	study	NOUN
ijassa-1006	28	22	for	for	ADP
ijassa-1006	28	23	its	its	PRON
ijassa-1006	28	24	high	high	ADJ
ijassa-1006	28	25	robustness	robustness	NOUN
ijassa-1006	28	26	,	,	PUNCT
ijassa-1006	28	27	fast	fast	ADJ
ijassa-1006	28	28	convergence	convergence	NOUN
ijassa-1006	28	29	speed	speed	NOUN
ijassa-1006	28	30	,	,	PUNCT
ijassa-1006	28	31	and	and	CCONJ
ijassa-1006	28	32	good	good	ADJ
ijassa-1006	28	33	solution	solution	NOUN
ijassa-1006	28	34	quality	quality	NOUN
ijassa-1006	28	35	,	,	PUNCT
ijassa-1006	28	36	making	make	VERB
ijassa-1006	28	37	it	it	PRON
ijassa-1006	28	38	a	a	DET
ijassa-1006	28	39	very	very	ADV
ijassa-1006	28	40	popular	popular	ADJ
ijassa-1006	28	41	ea	ea	NOUN
ijassa-1006	28	42	in	in	ADP
ijassa-1006	28	43	the	the	DET
ijassa-1006	28	44	evolutionary	evolutionary	ADJ
ijassa-1006	28	45	computing	computing	NOUN
ijassa-1006	28	46	community	community	NOUN
ijassa-1006	28	47	.	.	PUNCT
ijassa-1006	29	1	due	due	ADP
ijassa-1006	29	2	to	to	ADP
ijassa-1006	29	3	these	these	DET
ijassa-1006	29	4	strengths	strength	NOUN
ijassa-1006	29	5	observed	observe	VERB
ijassa-1006	29	6	in	in	ADP
ijassa-1006	29	7	de	de	PROPN
ijassa-1006	29	8	,	,	PUNCT
ijassa-1006	29	9	the	the	DET
ijassa-1006	29	10	use	use	NOUN
ijassa-1006	29	11	of	of	ADP
ijassa-1006	29	12	this	this	DET
ijassa-1006	29	13	ea	ea	NOUN
ijassa-1006	29	14	may	may	AUX
ijassa-1006	29	15	provide	provide	VERB
ijassa-1006	29	16	an	an	DET
ijassa-1006	29	17	answer	answer	NOUN
ijassa-1006	29	18	to	to	ADP
ijassa-1006	29	19	some	some	PRON
ijassa-1006	29	20	,	,	PUNCT
ijassa-1006	29	21	but	but	CCONJ
ijassa-1006	29	22	not	not	PART
ijassa-1006	29	23	all	all	PRON
ijassa-1006	29	24	,	,	PUNCT
ijassa-1006	29	25	of	of	ADP
ijassa-1006	29	26	the	the	DET
ijassa-1006	29	27	above	above	ADJ
ijassa-1006	29	28	limitations	limitation	NOUN
ijassa-1006	29	29	.	.	PUNCT
ijassa-1006	30	1	in	in	ADP
ijassa-1006	30	2	order	order	NOUN
ijassa-1006	30	3	to	to	PART
ijassa-1006	30	4	overcome	overcome	VERB
ijassa-1006	30	5	these	these	DET
ijassa-1006	30	6	limitations	limitation	NOUN
ijassa-1006	30	7	,	,	PUNCT
ijassa-1006	30	8	several	several	ADJ
ijassa-1006	30	9	improvement	improvement	NOUN
ijassa-1006	30	10	works	work	NOUN
ijassa-1006	30	11	were	be	AUX
ijassa-1006	30	12	carried	carry	VERB
ijassa-1006	30	13	out	out	ADP
ijassa-1006	30	14	on	on	ADP
ijassa-1006	30	15	de	de	X
ijassa-1006	30	16	in	in	ADP
ijassa-1006	30	17	order	order	NOUN
ijassa-1006	30	18	to	to	PART
ijassa-1006	30	19	allow	allow	VERB
ijassa-1006	30	20	it	it	PRON
ijassa-1006	30	21	to	to	PART
ijassa-1006	30	22	meet	meet	VERB
ijassa-1006	30	23	the	the	DET
ijassa-1006	30	24	objective	objective	NOUN
ijassa-1006	30	25	of	of	ADP
ijassa-1006	30	26	balancing	balance	VERB
ijassa-1006	30	27	the	the	DET
ijassa-1006	30	28	precision	precision	NOUN
ijassa-1006	30	29	of	of	ADP
ijassa-1006	30	30	the	the	DET
ijassa-1006	30	31	solution	solution	NOUN
ijassa-1006	30	32	and	and	CCONJ
ijassa-1006	30	33	the	the	DET
ijassa-1006	30	34	rate	rate	NOUN
ijassa-1006	30	35	of	of	ADP
ijassa-1006	30	36	convergence	convergence	NOUN
ijassa-1006	30	37	while	while	SCONJ
ijassa-1006	30	38	maintaining	maintain	VERB
ijassa-1006	30	39	the	the	DET
ijassa-1006	30	40	diversity	diversity	NOUN
ijassa-1006	30	41	of	of	ADP
ijassa-1006	30	42	the	the	DET
ijassa-1006	30	43	population	population	NOUN
ijassa-1006	30	44	for	for	ADP
ijassa-1006	30	45	different	different	ADJ
ijassa-1006	30	46	types	type	NOUN
ijassa-1006	30	47	of	of	ADP
ijassa-1006	30	48	moop	moop	NOUN
ijassa-1006	30	49	.	.	PUNCT
ijassa-1006	31	1	in	in	ADP
ijassa-1006	31	2	order	order	NOUN
ijassa-1006	31	3	to	to	PART
ijassa-1006	31	4	simultaneously	simultaneously	ADV
ijassa-1006	31	5	achieve	achieve	VERB
ijassa-1006	31	6	fast	fast	ADJ
ijassa-1006	31	7	convergence	convergence	NOUN
ijassa-1006	31	8	speed	speed	NOUN
ijassa-1006	31	9	and	and	CCONJ
ijassa-1006	31	10	efficient	efficient	ADJ
ijassa-1006	31	11	global	global	ADJ
ijassa-1006	31	12	search	search	NOUN
ijassa-1006	31	13	capacity	capacity	NOUN
ijassa-1006	31	14	,	,	PUNCT
ijassa-1006	31	15	researchers	researcher	NOUN
ijassa-1006	31	16	explored	explore	VERB
ijassa-1006	31	17	the	the	DET
ijassa-1006	31	18	use	use	NOUN
ijassa-1006	31	19	of	of	ADP
ijassa-1006	31	20	hybridization	hybridization	NOUN
ijassa-1006	31	21	of	of	ADP
ijassa-1006	31	22	different	different	ADJ
ijassa-1006	31	23	eas	ea	NOUN
ijassa-1006	31	24	for	for	ADP
ijassa-1006	31	25	moops	moop	NOUN
ijassa-1006	31	26	as	as	ADV
ijassa-1006	31	27	well	well	ADV
ijassa-1006	31	28	as	as	ADP
ijassa-1006	31	29	the	the	DET
ijassa-1006	31	30	formulation	formulation	NOUN
ijassa-1006	31	31	of	of	ADP
ijassa-1006	31	32	memory	memory	NOUN
ijassa-1006	31	33	algorithms	algorithm	NOUN
ijassa-1006	31	34	that	that	PRON
ijassa-1006	31	35	integrate	integrate	VERB
ijassa-1006	31	36	local	local	ADJ
ijassa-1006	31	37	search	search	NOUN
ijassa-1006	31	38	into	into	ADP
ijassa-1006	31	39	eas	ea	NOUN
ijassa-1006	31	40	,	,	PUNCT
ijassa-1006	31	41	and	and	CCONJ
ijassa-1006	31	42	these	these	DET
ijassa-1006	31	43	efforts	effort	NOUN
ijassa-1006	31	44	can	can	AUX
ijassa-1006	31	45	also	also	ADV
ijassa-1006	31	46	be	be	AUX
ijassa-1006	31	47	found	find	VERB
ijassa-1006	31	48	in	in	ADP
ijassa-1006	31	49	de	de	PROPN
ijassa-1006	31	50	[	[	X
ijassa-1006	31	51	8][9	8][9	NOUN
ijassa-1006	31	52	]	]	X
ijassa-1006	31	53	.	.	PUNCT
ijassa-1006	32	1	researchers	researcher	NOUN
ijassa-1006	32	2	have	have	AUX
ijassa-1006	32	3	also	also	ADV
ijassa-1006	32	4	introduced	introduce	VERB
ijassa-1006	32	5	the	the	DET
ijassa-1006	32	6	use	use	NOUN
ijassa-1006	32	7	of	of	ADP
ijassa-1006	32	8	adaptive	adaptive	ADJ
ijassa-1006	32	9	or	or	CCONJ
ijassa-1006	32	10	self	self	NOUN
ijassa-1006	32	11	-	-	PUNCT
ijassa-1006	32	12	adaptive	adaptive	ADJ
ijassa-1006	32	13	de	de	X
ijassa-1006	32	14	variants	variant	NOUN
ijassa-1006	32	15	[	[	X
ijassa-1006	32	16	10][11	10][11	X
ijassa-1006	32	17	]	]	PUNCT
ijassa-1006	32	18	which	which	PRON
ijassa-1006	32	19	eliminate	eliminate	VERB
ijassa-1006	32	20	the	the	DET
ijassa-1006	32	21	need	need	NOUN
ijassa-1006	32	22	to	to	PART
ijassa-1006	32	23	undergo	undergo	VERB
ijassa-1006	32	24	the	the	DET
ijassa-1006	32	25	tedious	tedious	ADJ
ijassa-1006	32	26	process	process	NOUN
ijassa-1006	32	27	of	of	ADP
ijassa-1006	32	28	trial	trial	NOUN
ijassa-1006	32	29	and	and	CCONJ
ijassa-1006	32	30	error	error	NOUN
ijassa-1006	32	31	setting	set	VERB
ijassa-1006	32	32	the	the	DET
ijassa-1006	32	33	control	control	NOUN
ijassa-1006	32	34	parameters	parameter	NOUN
ijassa-1006	32	35	in	in	ADP
ijassa-1006	32	36	de	de	X
ijassa-1006	32	37	to	to	ADP
ijassa-1006	32	38	an	an	DET
ijassa-1006	32	39	optimum	optimum	ADJ
ijassa-1006	32	40	setting	setting	NOUN
ijassa-1006	32	41	for	for	ADP
ijassa-1006	32	42	the	the	DET
ijassa-1006	32	43	problems	problem	NOUN
ijassa-1006	32	44	tested	test	VERB
ijassa-1006	32	45	.	.	PUNCT
ijassa-1006	33	1	differential	differential	ADJ
ijassa-1006	33	2	evolution	evolution	NOUN
ijassa-1006	33	3	as	as	ADP
ijassa-1006	33	4	one	one	NUM
ijassa-1006	33	5	of	of	ADP
ijassa-1006	33	6	the	the	DET
ijassa-1006	33	7	most	most	ADV
ijassa-1006	33	8	evolutionary	evolutionary	ADJ
ijassa-1006	33	9	algorithms	algorithm	NOUN
ijassa-1006	33	10	,	,	PUNCT
ijassa-1006	33	11	has	have	AUX
ijassa-1006	33	12	been	be	AUX
ijassa-1006	33	13	widely	widely	ADV
ijassa-1006	33	14	applied	apply	VERB
ijassa-1006	33	15	to	to	PART
ijassa-1006	33	16	solve	solve	VERB
ijassa-1006	33	17	multi	multi	ADJ
ijassa-1006	33	18	-	-	ADJ
ijassa-1006	33	19	objective	objective	ADJ
ijassa-1006	33	20	optimization	optimization	NOUN
ijassa-1006	33	21	problems	problem	NOUN
ijassa-1006	33	22	due	due	ADJ
ijassa-1006	33	23	to	to	ADP
ijassa-1006	33	24	its	its	PRON
ijassa-1006	33	25	simple	simple	ADJ
ijassa-1006	33	26	implementation	implementation	NOUN
ijassa-1006	33	27	and	and	CCONJ
ijassa-1006	33	28	fast	fast	ADJ
ijassa-1006	33	29	convergence	convergence	NOUN
ijassa-1006	33	30	.	.	PUNCT
ijassa-1006	34	1	in	in	ADP
ijassa-1006	34	2	order	order	NOUN
ijassa-1006	34	3	to	to	PART
ijassa-1006	34	4	apply	apply	VERB
ijassa-1006	34	5	de	de	PROPN
ijassa-1006	34	6	to	to	ADP
ijassa-1006	34	7	multi	multi	ADJ
ijassa-1006	34	8	-	-	ADJ
ijassa-1006	34	9	objective	objective	ADJ
ijassa-1006	34	10	optimization	optimization	NOUN
ijassa-1006	34	11	,	,	PUNCT
ijassa-1006	34	12	there	there	PRON
ijassa-1006	34	13	are	be	VERB
ijassa-1006	34	14	at	at	ADV
ijassa-1006	34	15	least	least	ADJ
ijassa-1006	34	16	two	two	NUM
ijassa-1006	34	17	fundamental	fundamental	ADJ
ijassa-1006	34	18	issues	issue	NOUN
ijassa-1006	34	19	to	to	PART
ijassa-1006	34	20	be	be	AUX
ijassa-1006	34	21	addressed	address	VERB
ijassa-1006	34	22	.	.	PUNCT
ijassa-1006	35	1	the	the	DET
ijassa-1006	35	2	first	first	ADJ
ijassa-1006	35	3	issue	issue	NOUN
ijassa-1006	35	4	is	be	AUX
ijassa-1006	35	5	how	how	SCONJ
ijassa-1006	35	6	to	to	PART
ijassa-1006	35	7	define	define	VERB
ijassa-1006	35	8	the	the	DET
ijassa-1006	35	9	best	good	ADJ
ijassa-1006	35	10	individual	individual	NOUN
ijassa-1006	35	11	,	,	PUNCT
ijassa-1006	35	12	given	give	VERB
ijassa-1006	35	13	that	that	SCONJ
ijassa-1006	35	14	there	there	PRON
ijassa-1006	35	15	does	do	AUX
ijassa-1006	35	16	not	not	PART
ijassa-1006	35	17	exist	exist	VERB
ijassa-1006	35	18	any	any	DET
ijassa-1006	35	19	individual	individual	NOUN
ijassa-1006	35	20	which	which	PRON
ijassa-1006	35	21	can	can	AUX
ijassa-1006	35	22	perform	perform	VERB
ijassa-1006	35	23	the	the	DET
ijassa-1006	35	24	best	good	ADJ
ijassa-1006	35	25	on	on	ADP
ijassa-1006	35	26	all	all	DET
ijassa-1006	35	27	objectives	objective	NOUN
ijassa-1006	35	28	of	of	ADP
ijassa-1006	35	29	an	an	DET
ijassa-1006	35	30	mop	mop	NOUN
ijassa-1006	35	31	.	.	PUNCT
ijassa-1006	36	1	the	the	DET
ijassa-1006	36	2	second	second	ADJ
ijassa-1006	36	3	issue	issue	NOUN
ijassa-1006	36	4	is	be	AUX
ijassa-1006	36	5	how	how	SCONJ
ijassa-1006	36	6	to	to	PART
ijassa-1006	36	7	balance	balance	VERB
ijassa-1006	36	8	convergence	convergence	NOUN
ijassa-1006	36	9	and	and	CCONJ
ijassa-1006	36	10	diversity	diversity	NOUN
ijassa-1006	36	11	of	of	ADP
ijassa-1006	36	12	the	the	DET
ijassa-1006	36	13	population	population	NOUN
ijassa-1006	36	14	.	.	PUNCT
ijassa-1006	37	1	since	since	SCONJ
ijassa-1006	37	2	the	the	DET
ijassa-1006	37	3	target	target	NOUN
ijassa-1006	37	4	of	of	ADP
ijassa-1006	37	5	multi	multi	ADJ
ijassa-1006	37	6	-	-	ADJ
ijassa-1006	37	7	objective	objective	ADJ
ijassa-1006	37	8	optimization	optimization	NOUN
ijassa-1006	37	9	is	be	AUX
ijassa-1006	37	10	to	to	PART
ijassa-1006	37	11	obtain	obtain	VERB
ijassa-1006	37	12	a	a	DET
ijassa-1006	37	13	set	set	NOUN
ijassa-1006	37	14	of	of	ADP
ijassa-1006	37	15	trade	trade	NOUN
ijassa-1006	37	16	-	-	PUNCT
ijassa-1006	37	17	off	off	ADP
ijassa-1006	37	18	solutions	solution	NOUN
ijassa-1006	37	19	,	,	PUNCT
ijassa-1006	37	20	diversity	diversity	NOUN
ijassa-1006	37	21	maintenance	maintenance	NOUN
ijassa-1006	37	22	is	be	AUX
ijassa-1006	37	23	particularly	particularly	ADV
ijassa-1006	37	24	important	important	ADJ
ijassa-1006	37	25	.	.	PUNCT
ijassa-1006	38	1	a	a	DET
ijassa-1006	38	2	de	de	X
ijassa-1006	38	3	based	base	VERB
ijassa-1006	38	4	multi	multi	ADJ
ijassa-1006	38	5	-	-	ADJ
ijassa-1006	38	6	objective	objective	ADJ
ijassa-1006	38	7	algorithm	algorithm	NOUN
ijassa-1006	38	8	is	be	AUX
ijassa-1006	38	9	very	very	ADV
ijassa-1006	38	10	likely	likely	ADJ
ijassa-1006	38	11	to	to	PART
ijassa-1006	38	12	be	be	AUX
ijassa-1006	38	13	trapped	trap	VERB
ijassa-1006	38	14	in	in	ADP
ijassa-1006	38	15	local	local	ADJ
ijassa-1006	38	16	optimum	optimum	NOUN
ijassa-1006	38	17	(	(	PUNCT
ijassa-1006	38	18	or	or	CCONJ
ijassa-1006	38	19	one	one	NUM
ijassa-1006	38	20	of	of	ADP
ijassa-1006	38	21	the	the	DET
ijassa-1006	38	22	many	many	ADJ
ijassa-1006	38	23	optima	optima	NOUN
ijassa-1006	38	24	)	)	PUNCT
ijassa-1006	38	25	of	of	ADP
ijassa-1006	38	26	an	an	DET
ijassa-1006	38	27	mop	mop	NOUN
ijassa-1006	38	28	due	due	ADP
ijassa-1006	38	29	to	to	ADP
ijassa-1006	38	30	its	its	PRON
ijassa-1006	38	31	fast	fast	ADJ
ijassa-1006	38	32	convergence	convergence	NOUN
ijassa-1006	38	33	.	.	PUNCT
ijassa-1006	39	1	there	there	ADV
ijassa-1006	39	2	-	-	PUNCT
ijassa-1006	39	3	fore	fore	NOUN
ijassa-1006	39	4	,	,	PUNCT
ijassa-1006	39	5	striking	strike	VERB
ijassa-1006	39	6	a	a	DET
ijassa-1006	39	7	balance	balance	NOUN
ijassa-1006	39	8	between	between	ADP
ijassa-1006	39	9	convergence	convergence	NOUN
ijassa-1006	39	10	and	and	CCONJ
ijassa-1006	39	11	diversity	diversity	NOUN
ijassa-1006	39	12	is	be	AUX
ijassa-1006	39	13	crucial	crucial	ADJ
ijassa-1006	39	14	to	to	ADP
ijassa-1006	39	15	the	the	DET
ijassa-1006	39	16	performance	performance	NOUN
ijassa-1006	39	17	of	of	ADP
ijassa-1006	39	18	multi	multi	ADJ
ijassa-1006	39	19	-	-	ADJ
ijassa-1006	39	20	objective	objective	ADJ
ijassa-1006	39	21	de	de	X
ijassa-1006	39	22	algorithm	algorithm	NOUN
ijassa-1006	39	23	.	.	PUNCT
ijassa-1006	40	1	2	2	X
ijassa-1006	40	2	.	.	X
ijassa-1006	40	3	differential	differential	ADJ
ijassa-1006	40	4	evolution	evolution	NOUN
ijassa-1006	40	5	for	for	ADP
ijassa-1006	40	6	mop	mop	NOUN
ijassa-1006	40	7	several	several	ADJ
ijassa-1006	40	8	researchers	researcher	NOUN
ijassa-1006	40	9	have	have	AUX
ijassa-1006	40	10	applied	apply	VERB
ijassa-1006	40	11	de	de	PROPN
ijassa-1006	40	12	to	to	PART
ijassa-1006	40	13	solve	solve	VERB
ijassa-1006	40	14	multi	multi	ADJ
ijassa-1006	40	15	-	-	ADJ
ijassa-1006	40	16	objective	objective	ADJ
ijassa-1006	40	17	problems	problem	NOUN
ijassa-1006	40	18	[	[	X
ijassa-1006	40	19	12	12	NUM
ijassa-1006	40	20	]	]	PUNCT
ijassa-1006	40	21	,	,	PUNCT
ijassa-1006	40	22	with	with	ADP
ijassa-1006	40	23	superior	superior	ADJ
ijassa-1006	40	24	and	and	CCONJ
ijassa-1006	40	25	impressive	impressive	ADJ
ijassa-1006	40	26	performance	performance	NOUN
ijassa-1006	40	27	to	to	ADP
ijassa-1006	40	28	other	other	ADJ
ijassa-1006	40	29	multi	multi	ADJ
ijassa-1006	40	30	-	-	ADJ
ijassa-1006	40	31	objective	objective	ADJ
ijassa-1006	40	32	algorithms	algorithm	NOUN
ijassa-1006	40	33	in	in	ADP
ijassa-1006	40	34	benchmarks	benchmark	NOUN
ijassa-1006	40	35	and	and	CCONJ
ijassa-1006	40	36	widely	widely	ADV
ijassa-1006	40	37	practical	practical	ADJ
ijassa-1006	40	38	applications	application	NOUN
ijassa-1006	40	39	.	.	PUNCT
ijassa-1006	41	1	reported	report	VERB
ijassa-1006	41	2	and	and	CCONJ
ijassa-1006	41	3	verified	verify	VERB
ijassa-1006	41	4	[	[	X
ijassa-1006	41	5	13][14	13][14	PROPN
ijassa-1006	41	6	]	]	PUNCT
ijassa-1006	41	7	,	,	PUNCT
ijassa-1006	41	8	the	the	DET
ijassa-1006	41	9	general	general	ADJ
ijassa-1006	41	10	demo	demo	NOUN
ijassa-1006	41	11	procedure	procedure	NOUN
ijassa-1006	41	12	is	be	AUX
ijassa-1006	41	13	shown	show	VERB
ijassa-1006	41	14	in	in	ADP
ijassa-1006	41	15	algorithm	algorithm	NOUN
ijassa-1006	41	16	1	1	NUM
ijassa-1006	41	17	.	.	PUNCT
ijassa-1006	42	1	like	like	INTJ
ijassa-1006	42	2	de	de	X
ijassa-1006	42	3	,	,	PUNCT
ijassa-1006	42	4	the	the	DET
ijassa-1006	42	5	algorithm	algorithm	NOUN
ijassa-1006	42	6	starts	start	VERB
ijassa-1006	42	7	with	with	ADP
ijassa-1006	42	8	a	a	DET
ijassa-1006	42	9	population	population	NOUN
ijassa-1006	42	10	p	p	NOUN
ijassa-1006	42	11	randomly	randomly	ADV
ijassa-1006	42	12	created	create	VERB
ijassa-1006	42	13	solutions	solution	NOUN
ijassa-1006	42	14	.	.	PUNCT
ijassa-1006	43	1	for	for	ADP
ijassa-1006	43	2	each	each	DET
ijassa-1006	43	3	generation	generation	NOUN
ijassa-1006	43	4	,	,	PUNCT
ijassa-1006	43	5	the	the	DET
ijassa-1006	43	6	following	follow	VERB
ijassa-1006	43	7	steps	step	NOUN
ijassa-1006	43	8	are	be	AUX
ijassa-1006	43	9	repeated	repeat	VERB
ijassa-1006	43	10	.	.	PUNCT
ijassa-1006	44	1	a	a	DET
ijassa-1006	44	2	candidate	candidate	NOUN
ijassa-1006	44	3	is	be	AUX
ijassa-1006	44	4	constructed	construct	VERB
ijassa-1006	44	5	from	from	ADP
ijassa-1006	44	6	its	its	PRON
ijassa-1006	44	7	parent	parent	NOUN
ijassa-1006	44	8	(	(	PUNCT
ijassa-1006	44	9	and	and	CCONJ
ijassa-1006	44	10	other	other	ADJ
ijassa-1006	44	11	solutions	solution	NOUN
ijassa-1006	44	12	of	of	ADP
ijassa-1006	44	13	p	p	NOUN
ijassa-1006	44	14	)	)	PUNCT
ijassa-1006	44	15	using	use	VERB
ijassa-1006	44	16	the	the	DET
ijassa-1006	44	17	de	de	PROPN
ijassa-1006	44	18	/	/	SYM
ijassa-1006	44	19	rand/1	rand/1	PROPN
ijassa-1006	44	20	/	/	SYM
ijassa-1006	44	21	bin	bin	NOUN
ijassa-1006	44	22	strategy	strategy	NOUN
ijassa-1006	44	23	described	describe	VERB
ijassa-1006	44	24	previously	previously	ADV
ijassa-1006	44	25	.	.	PUNCT
ijassa-1006	45	1	after	after	ADP
ijassa-1006	45	2	that	that	PRON
ijassa-1006	45	3	,	,	PUNCT
ijassa-1006	45	4	the	the	DET
ijassa-1006	45	5	candidate	candidate	NOUN
ijassa-1006	45	6	is	be	AUX
ijassa-1006	45	7	assessed	assess	VERB
ijassa-1006	45	8	and	and	CCONJ
ijassa-1006	45	9	compared	compare	VERB
ijassa-1006	45	10	to	to	ADP
ijassa-1006	45	11	his	his	PRON
ijassa-1006	45	12	parent	parent	NOUN
ijassa-1006	45	13	.	.	PUNCT
ijassa-1006	46	1	at	at	ADP
ijassa-1006	46	2	this	this	DET
ijassa-1006	46	3	point	point	NOUN
ijassa-1006	46	4	,	,	PUNCT
ijassa-1006	46	5	demo	demo	NOUN
ijassa-1006	46	6	differs	differ	VERB
ijassa-1006	46	7	from	from	ADP
ijassa-1006	46	8	de	de	PROPN
ijassa-1006	46	9	(	(	PUNCT
ijassa-1006	46	10	see	see	VERB
ijassa-1006	46	11	step	step	NOUN
ijassa-1006	46	12	2.1	2.1	NUM
ijassa-1006	46	13	(	(	PUNCT
ijassa-1006	46	14	c	c	NOUN
ijassa-1006	46	15	)	)	PUNCT
ijassa-1006	46	16	in	in	ADP
ijassa-1006	46	17	algorithms	algorithm	NOUN
ijassa-1006	46	18	1	1	NUM
ijassa-1006	46	19	)	)	PUNCT
ijassa-1006	46	20	.	.	PUNCT
ijassa-1006	47	1	in	in	ADP
ijassa-1006	47	2	demo	demo	NOUN
ijassa-1006	47	3	,	,	PUNCT
ijassa-1006	47	4	the	the	DET
ijassa-1006	47	5	candidate	candidate	NOUN
ijassa-1006	47	6	replaces	replace	VERB
ijassa-1006	47	7	the	the	DET
ijassa-1006	47	8	parent	parent	NOUN
ijassa-1006	47	9	only	only	ADV
ijassa-1006	47	10	if	if	SCONJ
ijassa-1006	47	11	he	he	PRON
ijassa-1006	47	12	dominates	dominate	VERB
ijassa-1006	47	13	him	he	PRON
ijassa-1006	47	14	.	.	PUNCT
ijassa-1006	48	1	if	if	SCONJ
ijassa-1006	48	2	the	the	DET
ijassa-1006	48	3	parent	parent	NOUN
ijassa-1006	48	4	dominates	dominate	VERB
ijassa-1006	48	5	the	the	DET
ijassa-1006	48	6	candidate	candidate	NOUN
ijassa-1006	48	7	,	,	PUNCT
ijassa-1006	48	8	the	the	DET
ijassa-1006	48	9	candidate	candidate	NOUN
ijassa-1006	48	10	is	be	AUX
ijassa-1006	48	11	158	158	NUM
ijassa-1006	48	12	n.	n.	NOUN
ijassa-1006	48	13	boukhari	boukhari	NOUN
ijassa-1006	48	14	,	,	PUNCT
ijassa-1006	48	15	m.	m.	NOUN
ijassa-1006	48	16	a.	a.	NOUN
ijassa-1006	48	17	nemmich	nemmich	PROPN
ijassa-1006	48	18	,	,	PUNCT
ijassa-1006	48	19	f.	f.	PROPN
ijassa-1006	48	20	debbat	debbat	PROPN
ijassa-1006	48	21	,	,	PUNCT
ijassa-1006	48	22	n.	n.	NOUN
ijassa-1006	48	23	monmarché	monmarché	NOUN
ijassa-1006	48	24	,	,	PUNCT
ijassa-1006	49	1	m.	m.	NOUN
ijassa-1006	49	2	slimane	slimane	PROPN
ijassa-1006	49	3	copyright	copyright	NOUN
ijassa-1006	50	1	©	©	PROPN
ijassa-1006	50	2	0000	0000	NUM
ijassa-1006	50	3	assa	assa	PROPN
ijassa-1006	50	4	adv	adv	PROPN
ijassa-1006	50	5	.	.	PUNCT
ijassa-1006	51	1	in	in	ADP
ijassa-1006	51	2	systems	system	NOUN
ijassa-1006	51	3	science	science	NOUN
ijassa-1006	51	4	and	and	CCONJ
ijassa-1006	51	5	appl	appl	NOUN
ijassa-1006	51	6	.	.	PUNCT
ijassa-1006	52	1	(	(	PUNCT
ijassa-1006	52	2	0000	0000	NUM
ijassa-1006	52	3	)	)	PUNCT
ijassa-1006	52	4	discarded	discard	VERB
ijassa-1006	52	5	.	.	PUNCT
ijassa-1006	53	1	otherwise	otherwise	ADV
ijassa-1006	53	2	(	(	PUNCT
ijassa-1006	53	3	when	when	SCONJ
ijassa-1006	53	4	the	the	DET
ijassa-1006	53	5	candidate	candidate	NOUN
ijassa-1006	53	6	and	and	CCONJ
ijassa-1006	53	7	the	the	DET
ijassa-1006	53	8	parent	parent	NOUN
ijassa-1006	53	9	are	be	AUX
ijassa-1006	53	10	incomparable	incomparable	ADJ
ijassa-1006	53	11	)	)	PUNCT
ijassa-1006	53	12	,	,	PUNCT
ijassa-1006	53	13	the	the	DET
ijassa-1006	53	14	candidate	candidate	NOUN
ijassa-1006	53	15	is	be	AUX
ijassa-1006	53	16	added	add	VERB
ijassa-1006	53	17	to	to	ADP
ijassa-1006	53	18	the	the	DET
ijassa-1006	53	19	population	population	NOUN
ijassa-1006	53	20	.	.	PUNCT
ijassa-1006	54	1	after	after	ADP
ijassa-1006	54	2	repeating	repeat	VERB
ijassa-1006	54	3	this	this	DET
ijassa-1006	54	4	step	step	NOUN
ijassa-1006	54	5	p	p	DET
ijassa-1006	54	6	times	time	NOUN
ijassa-1006	54	7	,	,	PUNCT
ijassa-1006	54	8	we	we	PRON
ijassa-1006	54	9	obtain	obtain	VERB
ijassa-1006	54	10	a	a	DET
ijassa-1006	54	11	population	population	NOUN
ijassa-1006	54	12	of	of	ADP
ijassa-1006	54	13	size	size	NOUN
ijassa-1006	54	14	between	between	ADP
ijassa-1006	54	15	p	p	NOUN
ijassa-1006	54	16	and	and	CCONJ
ijassa-1006	54	17	2p	2p	NOUN
ijassa-1006	54	18	.	.	PUNCT
ijassa-1006	55	1	if	if	SCONJ
ijassa-1006	55	2	the	the	DET
ijassa-1006	55	3	population	population	NOUN
ijassa-1006	55	4	has	have	AUX
ijassa-1006	55	5	grown	grow	VERB
ijassa-1006	55	6	in	in	ADP
ijassa-1006	55	7	size	size	NOUN
ijassa-1006	55	8	,	,	PUNCT
ijassa-1006	55	9	it	it	PRON
ijassa-1006	55	10	should	should	AUX
ijassa-1006	55	11	be	be	AUX
ijassa-1006	55	12	truncated	truncate	VERB
ijassa-1006	55	13	to	to	PART
ijassa-1006	55	14	size	size	VERB
ijassa-1006	55	15	p	p	NOUN
ijassa-1006	55	16	using	use	VERB
ijassa-1006	55	17	one	one	NUM
ijassa-1006	55	18	of	of	ADP
ijassa-1006	55	19	the	the	DET
ijassa-1006	55	20	environmental	environmental	ADJ
ijassa-1006	55	21	selection	selection	NOUN
ijassa-1006	55	22	approaches	approach	NOUN
ijassa-1006	55	23	.	.	PUNCT
ijassa-1006	56	1	at	at	ADP
ijassa-1006	56	2	the	the	DET
ijassa-1006	56	3	end	end	NOUN
ijassa-1006	56	4	of	of	ADP
ijassa-1006	56	5	the	the	DET
ijassa-1006	56	6	generation	generation	NOUN
ijassa-1006	56	7	,	,	PUNCT
ijassa-1006	56	8	the	the	DET
ijassa-1006	56	9	solutions	solution	NOUN
ijassa-1006	56	10	of	of	ADP
ijassa-1006	56	11	p	p	NOUN
ijassa-1006	56	12	are	be	AUX
ijassa-1006	56	13	listed	list	VERB
ijassa-1006	56	14	at	at	ADP
ijassa-1006	56	15	random	random	ADJ
ijassa-1006	56	16	(	(	PUNCT
ijassa-1006	56	17	as	as	ADP
ijassa-1006	56	18	in	in	ADP
ijassa-1006	56	19	de	de	NOUN
ijassa-1006	56	20	)	)	PUNCT
ijassa-1006	56	21	.	.	PUNCT
ijassa-1006	57	1	the	the	DET
ijassa-1006	57	2	end	end	NOUN
ijassa-1006	57	3	result	result	NOUN
ijassa-1006	57	4	of	of	ADP
ijassa-1006	57	5	demo	demo	NOUN
ijassa-1006	57	6	consists	consist	VERB
ijassa-1006	57	7	of	of	ADP
ijassa-1006	57	8	non	non	ADJ
ijassa-1006	57	9	-	-	ADJ
ijassa-1006	57	10	dominated	dominate	VERB
ijassa-1006	57	11	solutions	solution	NOUN
ijassa-1006	57	12	of	of	ADP
ijassa-1006	57	13	p.	p.	PROPN
ijassa-1006	57	14	general	general	ADJ
ijassa-1006	57	15	mode	mode	NOUN
ijassa-1006	57	16	algorithm	algorithm	NOUN
ijassa-1006	57	17	1	1	NUM
ijassa-1006	57	18	[	[	X
ijassa-1006	57	19	15	15	NUM
ijassa-1006	57	20	]	]	PUNCT
ijassa-1006	57	21	input	input	NOUN
ijassa-1006	57	22	:	:	PUNCT
ijassa-1006	57	23	parameters	parameter	NOUN
ijassa-1006	57	24	of	of	ADP
ijassa-1006	57	25	the	the	DET
ijassa-1006	57	26	algorithm	algorithm	NOUN
ijassa-1006	57	27	.	.	PUNCT
ijassa-1006	58	1	output	output	NOUN
ijassa-1006	58	2	:	:	PUNCT
ijassa-1006	58	3	non	non	ADJ
ijassa-1006	58	4	-	-	ADJ
ijassa-1006	58	5	dominated	dominate	VERB
ijassa-1006	58	6	solutions	solution	NOUN
ijassa-1006	58	7	of	of	ADP
ijassa-1006	58	8	p.	p.	NOUN
ijassa-1006	58	9	1	1	NUM
ijassa-1006	58	10	.	.	PUNCT
ijassa-1006	58	11	evaluate	evaluate	VERB
ijassa-1006	58	12	the	the	DET
ijassa-1006	58	13	initial	initial	ADJ
ijassa-1006	58	14	population	population	NOUN
ijassa-1006	58	15	p	p	NOUN
ijassa-1006	58	16	of	of	ADP
ijassa-1006	58	17	p	p	X
ijassa-1006	58	18	random	random	ADJ
ijassa-1006	58	19	solutions	solution	NOUN
ijassa-1006	58	20	.	.	PUNCT
ijassa-1006	59	1	2	2	X
ijassa-1006	59	2	.	.	X
ijassa-1006	59	3	while	while	SCONJ
ijassa-1006	59	4	the	the	DET
ijassa-1006	59	5	stop	stop	NOUN
ijassa-1006	59	6	criterion	criterion	NOUN
ijassa-1006	59	7	has	have	AUX
ijassa-1006	59	8	not	not	PART
ijassa-1006	59	9	been	be	AUX
ijassa-1006	59	10	met	meet	VERB
ijassa-1006	59	11	,	,	PUNCT
ijassa-1006	59	12	proceed	proceed	VERB
ijassa-1006	59	13	as	as	SCONJ
ijassa-1006	59	14	follows	follow	VERB
ijassa-1006	59	15	:	:	PUNCT
ijassa-1006	59	16	2.1	2.1	NUM
ijassa-1006	59	17	.	.	PUNCT
ijassa-1006	60	1	for	for	ADP
ijassa-1006	60	2	each	each	DET
ijassa-1006	60	3	solution	solution	NOUN
ijassa-1006	60	4	𝑥	𝑥	X
ijassa-1006	60	5	(	(	PUNCT
ijassa-1006	60	6	𝑖	𝑖	SYM
ijassa-1006	60	7	=	=	SYM
ijassa-1006	60	8	1	1	NUM
ijassa-1006	60	9	,	,	PUNCT
ijassa-1006	60	10	…	…	PUNCT
ijassa-1006	60	11	,	,	PUNCT
ijassa-1006	60	12	𝑝	𝑝	NOUN
ijassa-1006	60	13	)	)	PUNCT
ijassa-1006	60	14	of	of	ADP
ijassa-1006	60	15	p	p	PRON
ijassa-1006	60	16	repeat	repeat	NOUN
ijassa-1006	60	17	:	:	PUNCT
ijassa-1006	60	18	(	(	PUNCT
ijassa-1006	60	19	a	a	X
ijassa-1006	60	20	)	)	PUNCT
ijassa-1006	60	21	create	create	VERB
ijassa-1006	60	22	candidate	candidate	NOUN
ijassa-1006	60	23	c	c	PROPN
ijassa-1006	60	24	from	from	ADP
ijassa-1006	60	25	parent	parent	NOUN
ijassa-1006	60	26	𝑥	𝑥	PROPN
ijassa-1006	60	27	(	(	PUNCT
ijassa-1006	60	28	b	b	NOUN
ijassa-1006	60	29	)	)	PUNCT
ijassa-1006	60	30	calculate	calculate	VERB
ijassa-1006	60	31	the	the	DET
ijassa-1006	60	32	candidate	candidate	NOUN
ijassa-1006	60	33	's	's	PART
ijassa-1006	60	34	goals	goal	NOUN
ijassa-1006	60	35	.	.	PUNCT
ijassa-1006	61	1	(	(	PUNCT
ijassa-1006	61	2	c	c	X
ijassa-1006	61	3	)	)	PUNCT
ijassa-1006	61	4	if	if	SCONJ
ijassa-1006	61	5	the	the	DET
ijassa-1006	61	6	candidate	candidate	NOUN
ijassa-1006	61	7	dominates	dominate	VERB
ijassa-1006	61	8	the	the	DET
ijassa-1006	61	9	parent	parent	NOUN
ijassa-1006	61	10	,	,	PUNCT
ijassa-1006	61	11	the	the	DET
ijassa-1006	61	12	candidate	candidate	NOUN
ijassa-1006	61	13	replaces	replace	VERB
ijassa-1006	61	14	the	the	DET
ijassa-1006	61	15	parent	parent	NOUN
ijassa-1006	61	16	.	.	PUNCT
ijassa-1006	62	1	if	if	SCONJ
ijassa-1006	62	2	the	the	DET
ijassa-1006	62	3	parent	parent	NOUN
ijassa-1006	62	4	dominates	dominate	VERB
ijassa-1006	62	5	the	the	DET
ijassa-1006	62	6	candidate	candidate	NOUN
ijassa-1006	62	7	,	,	PUNCT
ijassa-1006	62	8	the	the	DET
ijassa-1006	62	9	candidate	candidate	NOUN
ijassa-1006	62	10	is	be	AUX
ijassa-1006	62	11	discarded	discard	VERB
ijassa-1006	62	12	.	.	PUNCT
ijassa-1006	63	1	otherwise	otherwise	ADV
ijassa-1006	63	2	,	,	PUNCT
ijassa-1006	63	3	the	the	DET
ijassa-1006	63	4	candidate	candidate	NOUN
ijassa-1006	63	5	is	be	AUX
ijassa-1006	63	6	added	add	VERB
ijassa-1006	63	7	to	to	ADP
ijassa-1006	63	8	the	the	DET
ijassa-1006	63	9	population	population	NOUN
ijassa-1006	63	10	.	.	PUNCT
ijassa-1006	64	1	2.2	2.2	NUM
ijassa-1006	64	2	.	.	PUNCT
ijassa-1006	65	1	if	if	SCONJ
ijassa-1006	65	2	the	the	DET
ijassa-1006	65	3	population	population	NOUN
ijassa-1006	65	4	has	have	VERB
ijassa-1006	65	5	more	more	ADJ
ijassa-1006	65	6	p	p	NOUN
ijassa-1006	65	7	solutions	solution	NOUN
ijassa-1006	65	8	,	,	PUNCT
ijassa-1006	65	9	apply	apply	VERB
ijassa-1006	65	10	an	an	DET
ijassa-1006	65	11	environment	environment	NOUN
ijassa-1006	65	12	selection	selection	NOUN
ijassa-1006	65	13	procedure	procedure	NOUN
ijassa-1006	65	14	to	to	PART
ijassa-1006	65	15	obtain	obtain	VERB
ijassa-1006	65	16	the	the	DET
ijassa-1006	65	17	best	good	ADJ
ijassa-1006	65	18	solutions	solution	NOUN
ijassa-1006	65	19	p.	p.	NOUN
ijassa-1006	65	20	2.3	2.3	NUM
ijassa-1006	65	21	.	.	PUNCT
ijassa-1006	66	1	randomly	randomly	ADV
ijassa-1006	66	2	list	list	VERB
ijassa-1006	66	3	the	the	DET
ijassa-1006	66	4	solutions	solution	NOUN
ijassa-1006	66	5	in	in	ADP
ijassa-1006	66	6	p.	p.	PROPN
ijassa-1006	66	7	note	note	VERB
ijassa-1006	66	8	that	that	SCONJ
ijassa-1006	66	9	newly	newly	ADV
ijassa-1006	66	10	created	create	VERB
ijassa-1006	66	11	candidates	candidate	NOUN
ijassa-1006	66	12	who	who	PRON
ijassa-1006	66	13	enter	enter	VERB
ijassa-1006	66	14	the	the	DET
ijassa-1006	66	15	population	population	NOUN
ijassa-1006	66	16	(	(	PUNCT
ijassa-1006	66	17	either	either	CCONJ
ijassa-1006	66	18	by	by	ADP
ijassa-1006	66	19	replacement	replacement	NOUN
ijassa-1006	66	20	or	or	CCONJ
ijassa-1006	66	21	by	by	ADP
ijassa-1006	66	22	addition	addition	NOUN
ijassa-1006	66	23	)	)	PUNCT
ijassa-1006	66	24	instantly	instantly	ADV
ijassa-1006	66	25	participate	participate	VERB
ijassa-1006	66	26	in	in	ADP
ijassa-1006	66	27	the	the	DET
ijassa-1006	66	28	creation	creation	NOUN
ijassa-1006	66	29	of	of	ADP
ijassa-1006	66	30	subsequent	subsequent	ADJ
ijassa-1006	66	31	candidates	candidate	NOUN
ijassa-1006	66	32	.	.	PUNCT
ijassa-1006	67	1	this	this	PRON
ijassa-1006	67	2	makes	make	VERB
ijassa-1006	67	3	it	it	PRON
ijassa-1006	67	4	possible	possible	ADJ
ijassa-1006	67	5	to	to	PART
ijassa-1006	67	6	achieve	achieve	VERB
ijassa-1006	67	7	rapid	rapid	ADJ
ijassa-1006	67	8	convergence	convergence	NOUN
ijassa-1006	67	9	towards	towards	ADP
ijassa-1006	67	10	the	the	DET
ijassa-1006	67	11	optimal	optimal	ADJ
ijassa-1006	67	12	pareto	pareto	ADJ
ijassa-1006	67	13	front	front	NOUN
ijassa-1006	67	14	.	.	PUNCT
ijassa-1006	68	1	the	the	DET
ijassa-1006	68	2	extension	extension	NOUN
ijassa-1006	68	3	of	of	ADP
ijassa-1006	68	4	de	de	X
ijassa-1006	68	5	to	to	ADP
ijassa-1006	68	6	mops	mop	NOUN
ijassa-1006	68	7	has	have	AUX
ijassa-1006	68	8	also	also	ADV
ijassa-1006	68	9	given	give	VERB
ijassa-1006	68	10	promising	promising	ADJ
ijassa-1006	68	11	results	result	NOUN
ijassa-1006	68	12	[	[	X
ijassa-1006	68	13	16	16	NUM
ijassa-1006	68	14	]	]	PUNCT
ijassa-1006	68	15	.	.	PUNCT
ijassa-1006	69	1	in	in	ADP
ijassa-1006	69	2	what	what	PRON
ijassa-1006	69	3	follows	follow	VERB
ijassa-1006	69	4	,	,	PUNCT
ijassa-1006	69	5	we	we	PRON
ijassa-1006	69	6	will	will	AUX
ijassa-1006	69	7	review	review	VERB
ijassa-1006	69	8	the	the	DET
ijassa-1006	69	9	multi	multi	ADJ
ijassa-1006	69	10	-	-	ADJ
ijassa-1006	69	11	objective	objective	ADJ
ijassa-1006	69	12	de	de	X
ijassa-1006	69	13	(	(	PUNCT
ijassa-1006	69	14	mode	mode	NOUN
ijassa-1006	69	15	)	)	PUNCT
ijassa-1006	69	16	under	under	ADP
ijassa-1006	69	17	five	five	NUM
ijassa-1006	69	18	aspects	aspect	NOUN
ijassa-1006	69	19	,	,	PUNCT
ijassa-1006	69	20	namely	namely	ADV
ijassa-1006	69	21	adaptive	adaptive	ADJ
ijassa-1006	69	22	strategies	strategy	NOUN
ijassa-1006	69	23	,	,	PUNCT
ijassa-1006	69	24	selection	selection	NOUN
ijassa-1006	69	25	operator	operator	NOUN
ijassa-1006	69	26	,	,	PUNCT
ijassa-1006	69	27	diversity	diversity	NOUN
ijassa-1006	69	28	control	control	NOUN
ijassa-1006	69	29	,	,	PUNCT
ijassa-1006	69	30	constraint	constraint	NOUN
ijassa-1006	69	31	management	management	NOUN
ijassa-1006	69	32	and	and	CCONJ
ijassa-1006	69	33	practical	practical	ADJ
ijassa-1006	69	34	applications	application	NOUN
ijassa-1006	69	35	.	.	PUNCT
ijassa-1006	70	1	for	for	ADP
ijassa-1006	70	2	adaptive	adaptive	ADJ
ijassa-1006	70	3	mutation	mutation	NOUN
ijassa-1006	70	4	type	type	NOUN
ijassa-1006	70	5	and	and	CCONJ
ijassa-1006	70	6	mode	mode	NOUN
ijassa-1006	70	7	parameterization	parameterization	NOUN
ijassa-1006	70	8	strategies	strategy	NOUN
ijassa-1006	70	9	,	,	PUNCT
ijassa-1006	70	10	[	[	X
ijassa-1006	70	11	17	17	NUM
ijassa-1006	70	12	]	]	PUNCT
ijassa-1006	70	13	have	have	AUX
ijassa-1006	70	14	proposed	propose	VERB
ijassa-1006	70	15	a	a	DET
ijassa-1006	70	16	self	self	NOUN
ijassa-1006	70	17	-	-	PUNCT
ijassa-1006	70	18	adaptive	adaptive	ADJ
ijassa-1006	70	19	mode	mode	NOUN
ijassa-1006	70	20	(	(	PUNCT
ijassa-1006	70	21	mosade	mosade	NOUN
ijassa-1006	70	22	)	)	PUNCT
ijassa-1006	70	23	capable	capable	ADJ
ijassa-1006	70	24	of	of	ADP
ijassa-1006	70	25	adaptively	adaptively	ADV
ijassa-1006	70	26	selecting	select	VERB
ijassa-1006	70	27	the	the	DET
ijassa-1006	70	28	appropriate	appropriate	ADJ
ijassa-1006	70	29	mutation	mutation	NOUN
ijassa-1006	70	30	strategies	strategy	NOUN
ijassa-1006	70	31	.	.	PUNCT
ijassa-1006	71	1	later	later	ADV
ijassa-1006	71	2	,	,	PUNCT
ijassa-1006	71	3	a	a	DET
ijassa-1006	71	4	new	new	ADJ
ijassa-1006	71	5	version	version	NOUN
ijassa-1006	71	6	of	of	ADP
ijassa-1006	71	7	the	the	DET
ijassa-1006	71	8	mosade	mosade	NOUN
ijassa-1006	71	9	hybrid	hybrid	NOUN
ijassa-1006	71	10	with	with	ADP
ijassa-1006	71	11	learning	learn	VERB
ijassa-1006	71	12	strategies	strategy	NOUN
ijassa-1006	71	13	by	by	ADP
ijassa-1006	71	14	objectives	objective	NOUN
ijassa-1006	71	15	(	(	PUNCT
ijassa-1006	71	16	owmosade	owmosade	NOUN
ijassa-1006	71	17	)	)	PUNCT
ijassa-1006	71	18	was	be	AUX
ijassa-1006	71	19	developed	develop	VERB
ijassa-1006	71	20	by	by	ADP
ijassa-1006	71	21	[	[	X
ijassa-1006	71	22	18	18	NUM
ijassa-1006	71	23	]	]	PUNCT
ijassa-1006	71	24	,	,	PUNCT
ijassa-1006	71	25	who	who	PRON
ijassa-1006	71	26	can	can	AUX
ijassa-1006	71	27	adaptively	adaptively	ADV
ijassa-1006	71	28	select	select	VERB
ijassa-1006	71	29	mutation	mutation	NOUN
ijassa-1006	71	30	strategies	strategy	NOUN
ijassa-1006	71	31	and	and	CCONJ
ijassa-1006	71	32	crossing	cross	VERB
ijassa-1006	71	33	parameters	parameter	NOUN
ijassa-1006	71	34	appropriate	appropriate	ADJ
ijassa-1006	71	35	for	for	ADP
ijassa-1006	71	36	each	each	DET
ijassa-1006	71	37	objective	objective	NOUN
ijassa-1006	71	38	separately	separately	ADV
ijassa-1006	71	39	.	.	PUNCT
ijassa-1006	72	1	[	[	X
ijassa-1006	72	2	3	3	X
ijassa-1006	72	3	]	]	PUNCT
ijassa-1006	72	4	presented	present	VERB
ijassa-1006	72	5	a	a	DET
ijassa-1006	72	6	self	self	NOUN
ijassa-1006	72	7	-	-	PUNCT
ijassa-1006	72	8	adapting	adapt	VERB
ijassa-1006	72	9	mode	mode	NOUN
ijassa-1006	72	10	in	in	ADP
ijassa-1006	72	11	which	which	PRON
ijassa-1006	72	12	direction	direction	NOUN
ijassa-1006	72	13	information	information	NOUN
ijassa-1006	72	14	from	from	ADP
ijassa-1006	72	15	solutions	solution	NOUN
ijassa-1006	72	16	archived	archive	VERB
ijassa-1006	72	17	below	below	ADP
ijassa-1006	72	18	the	the	DET
ijassa-1006	72	19	current	current	ADJ
ijassa-1006	72	20	population	population	NOUN
ijassa-1006	72	21	is	be	AUX
ijassa-1006	72	22	used	use	VERB
ijassa-1006	72	23	in	in	ADP
ijassa-1006	72	24	the	the	DET
ijassa-1006	72	25	mutation	mutation	NOUN
ijassa-1006	72	26	process	process	NOUN
ijassa-1006	72	27	.	.	PUNCT
ijassa-1006	73	1	[	[	X
ijassa-1006	73	2	19	19	NUM
ijassa-1006	73	3	]	]	PUNCT
ijassa-1006	73	4	used	use	VERB
ijassa-1006	73	5	information	information	NOUN
ijassa-1006	73	6	from	from	ADP
ijassa-1006	73	7	the	the	DET
ijassa-1006	73	8	evolution	evolution	NOUN
ijassa-1006	73	9	of	of	ADP
ijassa-1006	73	10	solutions	solution	NOUN
ijassa-1006	73	11	along	along	ADP
ijassa-1006	73	12	each	each	DET
ijassa-1006	73	13	search	search	NOUN
ijassa-1006	73	14	direction	direction	NOUN
ijassa-1006	73	15	to	to	PART
ijassa-1006	73	16	tailor	tailor	VERB
ijassa-1006	73	17	mode	mode	NOUN
ijassa-1006	73	18	control	control	NOUN
ijassa-1006	73	19	parameters	parameter	NOUN
ijassa-1006	73	20	.	.	PUNCT
ijassa-1006	74	1	[	[	X
ijassa-1006	74	2	20	20	NUM
ijassa-1006	74	3	]	]	PUNCT
ijassa-1006	74	4	proposed	propose	VERB
ijassa-1006	74	5	a	a	DET
ijassa-1006	74	6	variant	variant	NOUN
ijassa-1006	74	7	of	of	ADP
ijassa-1006	74	8	moea	moea	NOUN
ijassa-1006	74	9	/	/	SYM
ijassa-1006	74	10	d	d	NOUN
ijassa-1006	74	11	with	with	ADP
ijassa-1006	74	12	de	de	X
ijassa-1006	74	13	operators	operator	NOUN
ijassa-1006	74	14	(	(	PUNCT
ijassa-1006	74	15	moea	moea	NOUN
ijassa-1006	74	16	/	/	SYM
ijassa-1006	74	17	dfrrmab	dfrrmab	NOUN
ijassa-1006	74	18	)	)	PUNCT
ijassa-1006	74	19	where	where	SCONJ
ijassa-1006	74	20	rates	rate	NOUN
ijassa-1006	74	21	of	of	ADP
ijassa-1006	74	22	mutation	mutation	NOUN
ijassa-1006	74	23	operators	operator	NOUN
ijassa-1006	74	24	were	be	AUX
ijassa-1006	74	25	adaptively	adaptively	ADV
ijassa-1006	74	26	determined	determine	VERB
ijassa-1006	74	27	by	by	ADP
ijassa-1006	74	28	a	a	DET
ijassa-1006	74	29	multi	multi	ADJ
ijassa-1006	74	30	-	-	ADJ
ijassa-1006	74	31	armed	armed	ADJ
ijassa-1006	74	32	bandit	bandit	NOUN
ijassa-1006	74	33	scheme	scheme	NOUN
ijassa-1006	74	34	.	.	PUNCT
ijassa-1006	75	1	for	for	ADP
ijassa-1006	75	2	the	the	DET
ijassa-1006	75	3	selection	selection	NOUN
ijassa-1006	75	4	operator	operator	NOUN
ijassa-1006	75	5	in	in	ADP
ijassa-1006	75	6	mode	mode	NOUN
ijassa-1006	75	7	,	,	PUNCT
ijassa-1006	75	8	traditional	traditional	ADJ
ijassa-1006	75	9	modes	mode	NOUN
ijassa-1006	75	10	[	[	X
ijassa-1006	75	11	18	18	NUM
ijassa-1006	75	12	]	]	PUNCT
ijassa-1006	75	13	,	,	PUNCT
ijassa-1006	75	14	and	and	CCONJ
ijassa-1006	75	15	pareto	pareto	ADJ
ijassa-1006	75	16	differential	differential	ADJ
ijassa-1006	75	17	evolution	evolution	NOUN
ijassa-1006	75	18	[	[	X
ijassa-1006	75	19	21	21	NUM
ijassa-1006	75	20	]	]	PUNCT
ijassa-1006	75	21	used	use	VERB
ijassa-1006	75	22	the	the	DET
ijassa-1006	75	23	one	one	NUM
ijassa-1006	75	24	-	-	PUNCT
ijassa-1006	75	25	to	to	ADP
ijassa-1006	75	26	-	-	PUNCT
ijassa-1006	75	27	one	one	NUM
ijassa-1006	75	28	selection	selection	NOUN
ijassa-1006	75	29	scheme	scheme	NOUN
ijassa-1006	75	30	.	.	PUNCT
ijassa-1006	76	1	one	one	NUM
ijassa-1006	76	2	,	,	PUNCT
ijassa-1006	76	3	that	that	ADV
ijassa-1006	76	4	is	is	ADV
ijassa-1006	76	5	,	,	PUNCT
ijassa-1006	76	6	the	the	DET
ijassa-1006	76	7	test	test	NOUN
ijassa-1006	76	8	vector	vector	NOUN
ijassa-1006	76	9	was	be	AUX
ijassa-1006	76	10	allowed	allow	VERB
ijassa-1006	76	11	into	into	ADP
ijassa-1006	76	12	the	the	DET
ijassa-1006	76	13	next	next	ADJ
ijassa-1006	76	14	generation	generation	NOUN
ijassa-1006	76	15	if	if	SCONJ
ijassa-1006	76	16	and	and	CCONJ
ijassa-1006	76	17	only	only	ADV
ijassa-1006	76	18	if	if	SCONJ
ijassa-1006	76	19	it	it	PRON
ijassa-1006	76	20	could	could	AUX
ijassa-1006	76	21	dominate	dominate	VERB
ijassa-1006	76	22	its	its	PRON
ijassa-1006	76	23	target	target	NOUN
ijassa-1006	76	24	solution	solution	NOUN
ijassa-1006	76	25	.	.	PUNCT
ijassa-1006	77	1	different	different	ADJ
ijassa-1006	77	2	from	from	ADP
ijassa-1006	77	3	this	this	DET
ijassa-1006	77	4	scheme	scheme	NOUN
ijassa-1006	77	5	,	,	PUNCT
ijassa-1006	77	6	some	some	DET
ijassa-1006	77	7	modes	mode	NOUN
ijassa-1006	77	8	preferred	prefer	VERB
ijassa-1006	77	9	to	to	PART
ijassa-1006	77	10	store	store	VERB
ijassa-1006	77	11	the	the	DET
ijassa-1006	77	12	new	new	ADJ
ijassa-1006	77	13	test	test	NOUN
ijassa-1006	77	14	vectors	vector	NOUN
ijassa-1006	77	15	and	and	CCONJ
ijassa-1006	77	16	then	then	ADV
ijassa-1006	77	17	select	select	VERB
ijassa-1006	77	18	good	good	ADJ
ijassa-1006	77	19	solutions	solution	NOUN
ijassa-1006	77	20	from	from	ADP
ijassa-1006	77	21	the	the	DET
ijassa-1006	77	22	union	union	NOUN
ijassa-1006	77	23	of	of	ADP
ijassa-1006	77	24	test	test	NOUN
ijassa-1006	77	25	vectors	vector	NOUN
ijassa-1006	77	26	and	and	CCONJ
ijassa-1006	77	27	the	the	DET
ijassa-1006	77	28	original	original	ADJ
ijassa-1006	77	29	population	population	NOUN
ijassa-1006	77	30	to	to	PART
ijassa-1006	77	31	build	build	VERB
ijassa-1006	77	32	the	the	DET
ijassa-1006	77	33	next	next	ADJ
ijassa-1006	77	34	population	population	NOUN
ijassa-1006	77	35	.	.	PUNCT
ijassa-1006	78	1	the	the	DET
ijassa-1006	78	2	application	application	NOUN
ijassa-1006	78	3	of	of	ADP
ijassa-1006	78	4	such	such	DET
ijassa-1006	78	5	a	a	DET
ijassa-1006	78	6	scheme	scheme	NOUN
ijassa-1006	78	7	is	be	AUX
ijassa-1006	78	8	found	find	VERB
ijassa-1006	78	9	in	in	ADP
ijassa-1006	78	10	the	the	DET
ijassa-1006	78	11	mode	mode	NOUN
ijassa-1006	78	12	named	name	VERB
ijassa-1006	78	13	pdea	pdea	NOUN
ijassa-1006	78	14	proposed	propose	VERB
ijassa-1006	78	15	by	by	ADP
ijassa-1006	78	16	[	[	X
ijassa-1006	78	17	22	22	NUM
ijassa-1006	78	18	]	]	PUNCT
ijassa-1006	78	19	,	,	PUNCT
ijassa-1006	78	20	demo	demo	NOUN
ijassa-1006	78	21	proposed	propose	VERB
ijassa-1006	78	22	by	by	ADP
ijassa-1006	78	23	(	(	PUNCT
ijassa-1006	78	24	robič	robič	PROPN
ijassa-1006	78	25	&	&	CCONJ
ijassa-1006	78	26	filipič	filipič	PROPN
ijassa-1006	78	27	,	,	PUNCT
ijassa-1006	78	28	2005	2005	NUM
ijassa-1006	78	29	)	)	PUNCT
ijassa-1006	78	30	,	,	PUNCT
ijassa-1006	78	31	ademo	ademo	AUX
ijassa-1006	78	32	proposed	propose	VERB
ijassa-1006	78	33	by	by	ADP
ijassa-1006	78	34	[	[	X
ijassa-1006	78	35	23	23	NUM
ijassa-1006	78	36	]	]	PUNCT
ijassa-1006	78	37	,	,	PUNCT
ijassa-1006	78	38	modea	modea	NOUN
ijassa-1006	78	39	proposed	propose	VERB
ijassa-1006	78	40	by	by	ADP
ijassa-1006	78	41	[	[	X
ijassa-1006	78	42	24	24	NUM
ijassa-1006	78	43	]	]	PUNCT
ijassa-1006	78	44	,	,	PUNCT
ijassa-1006	78	45	and	and	CCONJ
ijassa-1006	78	46	the	the	DET
ijassa-1006	78	47	demon	demon	NOUN
ijassa-1006	78	48	proposed	propose	VERB
ijassa-1006	78	49	by	by	ADP
ijassa-1006	78	50	[	[	X
ijassa-1006	78	51	25	25	NUM
ijassa-1006	78	52	]	]	PUNCT
ijassa-1006	78	53	.	.	PUNCT
ijassa-1006	79	1	regarding	regard	VERB
ijassa-1006	79	2	the	the	DET
ijassa-1006	79	3	diversity	diversity	NOUN
ijassa-1006	79	4	control	control	NOUN
ijassa-1006	79	5	in	in	ADP
ijassa-1006	79	6	mode	mode	NOUN
ijassa-1006	79	7	,	,	PUNCT
ijassa-1006	79	8	many	many	ADJ
ijassa-1006	79	9	studies	study	NOUN
ijassa-1006	79	10	have	have	AUX
ijassa-1006	79	11	preferred	prefer	VERB
ijassa-1006	79	12	to	to	PART
ijassa-1006	79	13	adopt	adopt	VERB
ijassa-1006	79	14	the	the	DET
ijassa-1006	79	15	pareto	pareto	NOUN
ijassa-1006	79	16	ranking	ranking	NOUN
ijassa-1006	79	17	and	and	CCONJ
ijassa-1006	79	18	the	the	DET
ijassa-1006	79	19	overpopulation	overpopulation	NOUN
ijassa-1006	79	20	distance	distance	NOUN
ijassa-1006	79	21	of	of	ADP
ijassa-1006	79	22	nsga	nsga	NOUN
ijassa-1006	79	23	-	-	PUNCT
ijassa-1006	79	24	ii	ii	NOUN
ijassa-1006	80	1	[	[	X
ijassa-1006	80	2	26	26	NUM
ijassa-1006	80	3	]	]	PUNCT
ijassa-1006	80	4	to	to	PART
ijassa-1006	80	5	truncate	truncate	VERB
ijassa-1006	80	6	the	the	DET
ijassa-1006	80	7	elitist	elitist	ADJ
ijassa-1006	80	8	archive	archive	NOUN
ijassa-1006	80	9	.	.	PUNCT
ijassa-1006	81	1	instead	instead	ADV
ijassa-1006	81	2	of	of	ADP
ijassa-1006	81	3	crowding	crowd	VERB
ijassa-1006	81	4	distance	distance	NOUN
ijassa-1006	81	5	,	,	PUNCT
ijassa-1006	81	6	[	[	X
ijassa-1006	81	7	27	27	NUM
ijassa-1006	81	8	]	]	PUNCT
ijassa-1006	81	9	used	use	VERB
ijassa-1006	81	10	a	a	DET
ijassa-1006	81	11	measure	measure	NOUN
ijassa-1006	81	12	of	of	ADP
ijassa-1006	81	13	diversity	diversity	NOUN
ijassa-1006	81	14	entropy	entropy	NOUN
ijassa-1006	81	15	of	of	ADP
ijassa-1006	81	16	crowding	crowd	VERB
ijassa-1006	81	17	in	in	ADP
ijassa-1006	81	18	the	the	DET
ijassa-1006	81	19	self	self	NOUN
ijassa-1006	81	20	-	-	PUNCT
ijassa-1006	81	21	adaptive	adaptive	ADJ
ijassa-1006	81	22	mode	mode	NOUN
ijassa-1006	81	23	to	to	PART
ijassa-1006	81	24	preserve	preserve	VERB
ijassa-1006	81	25	the	the	DET
ijassa-1006	81	26	diversity	diversity	NOUN
ijassa-1006	81	27	of	of	ADP
ijassa-1006	81	28	elite	elite	ADJ
ijassa-1006	81	29	archives	archive	NOUN
ijassa-1006	81	30	.	.	PUNCT
ijassa-1006	82	1	[	[	X
ijassa-1006	82	2	28	28	NUM
ijassa-1006	82	3	]	]	PUNCT
ijassa-1006	82	4	developed	develop	VERB
ijassa-1006	82	5	a	a	DET
ijassa-1006	82	6	measure	measure	NOUN
ijassa-1006	82	7	of	of	ADP
ijassa-1006	82	8	diversity	diversity	NOUN
ijassa-1006	82	9	based	base	VERB
ijassa-1006	82	10	on	on	ADP
ijassa-1006	82	11	harmonic	harmonic	ADJ
ijassa-1006	82	12	distance	distance	NOUN
ijassa-1006	82	13	to	to	PART
ijassa-1006	82	14	maintain	maintain	VERB
ijassa-1006	82	15	the	the	DET
ijassa-1006	82	16	diversity	diversity	NOUN
ijassa-1006	82	17	of	of	ADP
ijassa-1006	82	18	external	external	ADJ
ijassa-1006	82	19	archives	archive	NOUN
ijassa-1006	82	20	and	and	CCONJ
ijassa-1006	82	21	dominance	dominance	NOUN
ijassa-1006	82	22	has	have	AUX
ijassa-1006	82	23	been	be	AUX
ijassa-1006	82	24	integrated	integrate	VERB
ijassa-1006	82	25	into	into	ADP
ijassa-1006	82	26	mode	mode	NOUN
ijassa-1006	82	27	to	to	PART
ijassa-1006	82	28	ensure	ensure	VERB
ijassa-1006	82	29	the	the	DET
ijassa-1006	82	30	diversity	diversity	NOUN
ijassa-1006	82	31	of	of	ADP
ijassa-1006	82	32	external	external	ADJ
ijassa-1006	82	33	archives	archive	NOUN
ijassa-1006	82	34	.	.	PUNCT
ijassa-1006	83	1	in	in	ADP
ijassa-1006	83	2	addition	addition	NOUN
ijassa-1006	83	3	to	to	ADP
ijassa-1006	83	4	metrics	metric	NOUN
ijassa-1006	83	5	for	for	ADP
ijassa-1006	83	6	measuring	measure	VERB
ijassa-1006	83	7	diversity	diversity	NOUN
ijassa-1006	83	8	,	,	PUNCT
ijassa-1006	83	9	the	the	DET
ijassa-1006	83	10	multiple	multiple	ADJ
ijassa-1006	83	11	populations	population	NOUN
ijassa-1006	83	12	strategy	strategy	NOUN
ijassa-1006	83	13	has	have	AUX
ijassa-1006	83	14	also	also	ADV
ijassa-1006	83	15	been	be	AUX
ijassa-1006	83	16	adopted	adopt	VERB
ijassa-1006	83	17	in	in	ADP
ijassa-1006	83	18	mode	mode	NOUN
ijassa-1006	83	19	to	to	PART
ijassa-1006	83	20	maintain	maintain	VERB
ijassa-1006	83	21	diversity	diversity	NOUN
ijassa-1006	83	22	.	.	PUNCT
ijassa-1006	84	1	a	a	DET
ijassa-1006	84	2	cooperative	cooperative	ADJ
ijassa-1006	84	3	mode	mode	NOUN
ijassa-1006	84	4	(	(	PUNCT
ijassa-1006	84	5	cmode	cmode	NOUN
ijassa-1006	84	6	)	)	PUNCT
ijassa-1006	84	7	with	with	ADP
ijassa-1006	84	8	multiple	multiple	ADJ
ijassa-1006	84	9	populations	population	NOUN
ijassa-1006	84	10	has	have	AUX
ijassa-1006	84	11	been	be	AUX
ijassa-1006	84	12	presented	present	VERB
ijassa-1006	84	13	by	by	ADP
ijassa-1006	84	14	[	[	X
ijassa-1006	84	15	29	29	NUM
ijassa-1006	84	16	]	]	PUNCT
ijassa-1006	84	17	,	,	PUNCT
ijassa-1006	84	18	in	in	ADP
ijassa-1006	84	19	which	which	PRON
ijassa-1006	84	20	each	each	DET
ijassa-1006	84	21	population	population	NOUN
ijassa-1006	84	22	treated	treat	VERB
ijassa-1006	84	23	only	only	ADV
ijassa-1006	84	24	one	one	NUM
ijassa-1006	84	25	a	a	DET
ijassa-1006	84	26	novel	novel	ADJ
ijassa-1006	84	27	two	two	NUM
ijassa-1006	84	28	-	-	PUNCT
ijassa-1006	84	29	stage	stage	NOUN
ijassa-1006	84	30	hybrid	hybrid	ADJ
ijassa-1006	84	31	multi	multi	ADJ
ijassa-1006	84	32	-	-	ADJ
ijassa-1006	84	33	objective	objective	ADJ
ijassa-1006	84	34	differential	differential	ADJ
ijassa-1006	84	35	evolution	evolution	NOUN
ijassa-1006	84	36	…	…	PUNCT
ijassa-1006	84	37	159	159	NUM
ijassa-1006	84	38	copyright	copyright	NOUN
ijassa-1006	84	39	©	©	PROPN
ijassa-1006	84	40	2023	2023	NUM
ijassa-1006	84	41	assa	assa	NOUN
ijassa-1006	84	42	.	.	PUNCT
ijassa-1006	85	1	adv	adv	PROPN
ijassa-1006	85	2	.	.	PUNCT
ijassa-1006	86	1	in	in	ADP
ijassa-1006	86	2	systems	system	NOUN
ijassa-1006	86	3	science	science	NOUN
ijassa-1006	86	4	and	and	CCONJ
ijassa-1006	86	5	appl	appl	NOUN
ijassa-1006	86	6	.	.	PUNCT
ijassa-1006	87	1	(	(	PUNCT
ijassa-1006	87	2	2023	2023	NUM
ijassa-1006	87	3	)	)	PUNCT
ijassa-1006	87	4	goal	goal	NOUN
ijassa-1006	87	5	.	.	PUNCT
ijassa-1006	88	1	another	another	DET
ijassa-1006	88	2	version	version	NOUN
ijassa-1006	88	3	of	of	ADP
ijassa-1006	88	4	the	the	DET
ijassa-1006	88	5	multi	multi	ADJ
ijassa-1006	88	6	-	-	ADJ
ijassa-1006	88	7	population	population	ADJ
ijassa-1006	88	8	mode	mode	NOUN
ijassa-1006	88	9	has	have	AUX
ijassa-1006	88	10	been	be	AUX
ijassa-1006	88	11	proposed	propose	VERB
ijassa-1006	88	12	in	in	ADP
ijassa-1006	88	13	[	[	X
ijassa-1006	88	14	30	30	NUM
ijassa-1006	88	15	]	]	PUNCT
ijassa-1006	88	16	,	,	PUNCT
ijassa-1006	88	17	in	in	ADP
ijassa-1006	88	18	which	which	PRON
ijassa-1006	88	19	each	each	DET
ijassa-1006	88	20	subpopulation	subpopulation	NOUN
ijassa-1006	88	21	adopted	adopt	VERB
ijassa-1006	88	22	its	its	PRON
ijassa-1006	88	23	own	own	ADJ
ijassa-1006	88	24	mutation	mutation	NOUN
ijassa-1006	88	25	strategy	strategy	NOUN
ijassa-1006	88	26	and	and	CCONJ
ijassa-1006	88	27	competed	compete	VERB
ijassa-1006	88	28	for	for	ADP
ijassa-1006	88	29	evolutionary	evolutionary	ADJ
ijassa-1006	88	30	resources	resource	NOUN
ijassa-1006	88	31	.	.	PUNCT
ijassa-1006	89	1	for	for	ADP
ijassa-1006	89	2	the	the	DET
ijassa-1006	89	3	mop	mop	NOUN
ijassa-1006	89	4	with	with	ADP
ijassa-1006	89	5	constraints	constraint	NOUN
ijassa-1006	89	6	,	,	PUNCT
ijassa-1006	89	7	[	[	X
ijassa-1006	89	8	31	31	NUM
ijassa-1006	89	9	]	]	PUNCT
ijassa-1006	89	10	incorporated	incorporate	VERB
ijassa-1006	89	11	local	local	ADJ
ijassa-1006	89	12	research	research	NOUN
ijassa-1006	89	13	based	base	VERB
ijassa-1006	89	14	on	on	ADP
ijassa-1006	89	15	approximate	approximate	ADJ
ijassa-1006	89	16	set	set	NOUN
ijassa-1006	89	17	theory	theory	NOUN
ijassa-1006	89	18	into	into	ADP
ijassa-1006	89	19	mode	mode	NOUN
ijassa-1006	89	20	.	.	PUNCT
ijassa-1006	90	1	[	[	X
ijassa-1006	90	2	32	32	NUM
ijassa-1006	90	3	]	]	PUNCT
ijassa-1006	90	4	developed	develop	VERB
ijassa-1006	90	5	a	a	DET
ijassa-1006	90	6	new	new	ADJ
ijassa-1006	90	7	mode	mode	NOUN
ijassa-1006	90	8	by	by	ADP
ijassa-1006	90	9	designing	design	VERB
ijassa-1006	90	10	a	a	DET
ijassa-1006	90	11	new	new	ADJ
ijassa-1006	90	12	constraint	constraint	NOUN
ijassa-1006	90	13	management	management	NOUN
ijassa-1006	90	14	method	method	NOUN
ijassa-1006	90	15	to	to	PART
ijassa-1006	90	16	guide	guide	VERB
ijassa-1006	90	17	the	the	DET
ijassa-1006	90	18	search	search	NOUN
ijassa-1006	90	19	for	for	ADP
ijassa-1006	90	20	individuals	individual	NOUN
ijassa-1006	90	21	using	use	VERB
ijassa-1006	90	22	a	a	DET
ijassa-1006	90	23	number	number	NOUN
ijassa-1006	90	24	of	of	ADP
ijassa-1006	90	25	good	good	ADJ
ijassa-1006	90	26	infeasible	infeasible	ADJ
ijassa-1006	90	27	solutions	solution	NOUN
ijassa-1006	90	28	.	.	PUNCT
ijassa-1006	91	1	for	for	ADP
ijassa-1006	91	2	the	the	DET
ijassa-1006	91	3	practical	practical	ADJ
ijassa-1006	91	4	application	application	NOUN
ijassa-1006	91	5	of	of	ADP
ijassa-1006	91	6	the	the	DET
ijassa-1006	91	7	mode	mode	NOUN
ijassa-1006	91	8	,	,	PUNCT
ijassa-1006	91	9	[	[	X
ijassa-1006	91	10	33	33	NUM
ijassa-1006	91	11	]	]	PUNCT
ijassa-1006	91	12	presented	present	VERB
ijassa-1006	91	13	a	a	DET
ijassa-1006	91	14	mode	mode	NOUN
ijassa-1006	91	15	for	for	ADP
ijassa-1006	91	16	the	the	DET
ijassa-1006	91	17	optimization	optimization	NOUN
ijassa-1006	91	18	of	of	ADP
ijassa-1006	91	19	the	the	DET
ijassa-1006	91	20	operation	operation	NOUN
ijassa-1006	91	21	of	of	ADP
ijassa-1006	91	22	the	the	DET
ijassa-1006	91	23	pyrolysis	pyrolysis	NOUN
ijassa-1006	91	24	of	of	ADP
ijassa-1006	91	25	naphtha	naphtha	NOUN
ijassa-1006	91	26	.	.	PUNCT
ijassa-1006	92	1	[	[	X
ijassa-1006	92	2	34	34	NUM
ijassa-1006	92	3	]	]	PUNCT
ijassa-1006	92	4	presented	present	VERB
ijassa-1006	92	5	a	a	DET
ijassa-1006	92	6	mode	mode	NOUN
ijassa-1006	92	7	incorporating	incorporate	VERB
ijassa-1006	92	8	a	a	DET
ijassa-1006	92	9	taboo	taboo	NOUN
ijassa-1006	92	10	list	list	NOUN
ijassa-1006	92	11	for	for	ADP
ijassa-1006	92	12	chemical	chemical	NOUN
ijassa-1006	92	13	engineering	engineering	NOUN
ijassa-1006	92	14	applications	application	NOUN
ijassa-1006	92	15	.	.	PUNCT
ijassa-1006	93	1	[	[	X
ijassa-1006	93	2	35	35	NUM
ijassa-1006	93	3	]	]	PUNCT
ijassa-1006	93	4	studied	study	VERB
ijassa-1006	93	5	the	the	DET
ijassa-1006	93	6	optimization	optimization	NOUN
ijassa-1006	93	7	of	of	ADP
ijassa-1006	93	8	the	the	DET
ijassa-1006	93	9	functioning	functioning	NOUN
ijassa-1006	93	10	of	of	ADP
ijassa-1006	93	11	the	the	DET
ijassa-1006	93	12	p	p	NOUN
ijassa-1006	93	13	-	-	PUNCT
ijassa-1006	93	14	xylene	xylene	NOUN
ijassa-1006	93	15	oxidation	oxidation	NOUN
ijassa-1006	93	16	reaction	reaction	NOUN
ijassa-1006	93	17	process	process	NOUN
ijassa-1006	93	18	and	and	CCONJ
ijassa-1006	93	19	developed	develop	VERB
ijassa-1006	93	20	a	a	DET
ijassa-1006	93	21	mode	mode	NOUN
ijassa-1006	93	22	with	with	ADP
ijassa-1006	93	23	a	a	DET
ijassa-1006	93	24	self	self	NOUN
ijassa-1006	93	25	-	-	PUNCT
ijassa-1006	93	26	adaptive	adaptive	ADJ
ijassa-1006	93	27	strategy	strategy	NOUN
ijassa-1006	93	28	for	for	ADP
ijassa-1006	93	29	the	the	DET
ijassa-1006	93	30	generation	generation	NOUN
ijassa-1006	93	31	of	of	ADP
ijassa-1006	93	32	test	test	NOUN
ijassa-1006	93	33	vectors	vector	NOUN
ijassa-1006	93	34	and	and	CCONJ
ijassa-1006	93	35	the	the	DET
ijassa-1006	93	36	control	control	NOUN
ijassa-1006	93	37	of	of	ADP
ijassa-1006	93	38	settings	setting	NOUN
ijassa-1006	93	39	.	.	PUNCT
ijassa-1006	94	1	[	[	X
ijassa-1006	94	2	36	36	NUM
ijassa-1006	94	3	]	]	PUNCT
ijassa-1006	94	4	proposed	propose	VERB
ijassa-1006	94	5	a	a	DET
ijassa-1006	94	6	mode	mode	NOUN
ijassa-1006	94	7	with	with	ADP
ijassa-1006	94	8	an	an	DET
ijassa-1006	94	9	adaptive	adaptive	ADJ
ijassa-1006	94	10	parameter	parameter	NOUN
ijassa-1006	94	11	control	control	NOUN
ijassa-1006	94	12	strategy	strategy	NOUN
ijassa-1006	94	13	and	and	CCONJ
ijassa-1006	94	14	non	non	ADJ
ijassa-1006	94	15	-	-	ADJ
ijassa-1006	94	16	dominated	dominated	ADJ
ijassa-1006	94	17	ranking	ranking	NOUN
ijassa-1006	94	18	for	for	ADP
ijassa-1006	94	19	pom	pom	NOUN
ijassa-1006	94	20	of	of	ADP
ijassa-1006	94	21	electromagnetic	electromagnetic	ADJ
ijassa-1006	94	22	problems	problem	NOUN
ijassa-1006	94	23	.	.	PUNCT
ijassa-1006	95	1	[	[	X
ijassa-1006	95	2	37	37	NUM
ijassa-1006	95	3	]	]	PUNCT
ijassa-1006	95	4	proposed	propose	VERB
ijassa-1006	95	5	an	an	DET
ijassa-1006	95	6	adaptive	adaptive	ADJ
ijassa-1006	95	7	mode	mode	NOUN
ijassa-1006	95	8	for	for	ADP
ijassa-1006	95	9	the	the	DET
ijassa-1006	95	10	problem	problem	NOUN
ijassa-1006	95	11	of	of	ADP
ijassa-1006	95	12	defining	define	VERB
ijassa-1006	95	13	the	the	DET
ijassa-1006	95	14	operating	operating	NOUN
ijassa-1006	95	15	point	point	NOUN
ijassa-1006	95	16	with	with	ADP
ijassa-1006	95	17	four	four	NUM
ijassa-1006	95	18	objectives	objective	NOUN
ijassa-1006	95	19	focusing	focus	VERB
ijassa-1006	95	20	on	on	ADP
ijassa-1006	95	21	the	the	DET
ijassa-1006	95	22	cost	cost	NOUN
ijassa-1006	95	23	of	of	ADP
ijassa-1006	95	24	fuel	fuel	NOUN
ijassa-1006	95	25	consumption	consumption	NOUN
ijassa-1006	95	26	and	and	CCONJ
ijassa-1006	95	27	reduction	reduction	NOUN
ijassa-1006	95	28	of	of	ADP
ijassa-1006	95	29	emissions	emission	NOUN
ijassa-1006	95	30	.	.	PUNCT
ijassa-1006	96	1	the	the	DET
ijassa-1006	96	2	work	work	NOUN
ijassa-1006	96	3	[	[	X
ijassa-1006	96	4	38	38	NUM
ijassa-1006	96	5	]	]	PUNCT
ijassa-1006	96	6	proposed	propose	VERB
ijassa-1006	96	7	a	a	DET
ijassa-1006	96	8	de	de	X
ijassa-1006	96	9	variant	variant	NOUN
ijassa-1006	96	10	to	to	PART
ijassa-1006	96	11	solve	solve	VERB
ijassa-1006	96	12	multi	multi	ADJ
ijassa-1006	96	13	-	-	ADJ
ijassa-1006	96	14	objective	objective	ADJ
ijassa-1006	96	15	optimization	optimization	NOUN
ijassa-1006	96	16	problems	problem	NOUN
ijassa-1006	96	17	called	call	VERB
ijassa-1006	96	18	myodemr	myodemr	NOUN
ijassa-1006	96	19	(	(	PUNCT
ijassa-1006	96	20	multiple	multiple	ADJ
ijassa-1006	96	21	-	-	PUNCT
ijassa-1006	96	22	objective	objective	NOUN
ijassa-1006	96	23	de	de	X
ijassa-1006	96	24	with	with	ADP
ijassa-1006	96	25	mutation	mutation	NOUN
ijassa-1006	96	26	restriction	restriction	NOUN
ijassa-1006	96	27	)	)	PUNCT
ijassa-1006	96	28	.	.	PUNCT
ijassa-1006	97	1	the	the	DET
ijassa-1006	97	2	algorithm	algorithm	NOUN
ijassa-1006	97	3	uses	use	VERB
ijassa-1006	97	4	the	the	DET
ijassa-1006	97	5	concept	concept	NOUN
ijassa-1006	97	6	of	of	ADP
ijassa-1006	97	7	pareto	pareto	ADJ
ijassa-1006	97	8	dominance	dominance	NOUN
ijassa-1006	97	9	coupled	couple	VERB
ijassa-1006	97	10	with	with	ADP
ijassa-1006	97	11	the	the	DET
ijassa-1006	97	12	inverted	inverted	ADJ
ijassa-1006	97	13	generational	generational	ADJ
ijassa-1006	97	14	distance	distance	NOUN
ijassa-1006	97	15	metric	metric	ADJ
ijassa-1006	97	16	to	to	PART
ijassa-1006	97	17	select	select	VERB
ijassa-1006	97	18	the	the	DET
ijassa-1006	97	19	population	population	NOUN
ijassa-1006	97	20	for	for	ADP
ijassa-1006	97	21	the	the	DET
ijassa-1006	97	22	next	next	ADJ
ijassa-1006	97	23	generation	generation	NOUN
ijassa-1006	97	24	from	from	ADP
ijassa-1006	97	25	a	a	DET
ijassa-1006	97	26	combination	combination	NOUN
ijassa-1006	97	27	of	of	ADP
ijassa-1006	97	28	the	the	DET
ijassa-1006	97	29	parent	parent	NOUN
ijassa-1006	97	30	and	and	CCONJ
ijassa-1006	97	31	offspring	offspring	NOUN
ijassa-1006	97	32	populations	population	NOUN
ijassa-1006	97	33	.	.	PUNCT
ijassa-1006	98	1	the	the	DET
ijassa-1006	98	2	algorithm	algorithm	NOUN
ijassa-1006	98	3	also	also	ADV
ijassa-1006	98	4	uses	use	VERB
ijassa-1006	98	5	a	a	DET
ijassa-1006	98	6	strategy	strategy	NOUN
ijassa-1006	98	7	of	of	ADP
ijassa-1006	98	8	restriction	restriction	NOUN
ijassa-1006	98	9	of	of	ADP
ijassa-1006	98	10	the	the	DET
ijassa-1006	98	11	difference	difference	NOUN
ijassa-1006	98	12	vector	vector	NOUN
ijassa-1006	98	13	in	in	ADP
ijassa-1006	98	14	the	the	DET
ijassa-1006	98	15	de	de	X
ijassa-1006	98	16	mutation	mutation	NOUN
ijassa-1006	98	17	to	to	PART
ijassa-1006	98	18	improve	improve	VERB
ijassa-1006	98	19	the	the	DET
ijassa-1006	98	20	convergence	convergence	NOUN
ijassa-1006	98	21	characteristics	characteristic	NOUN
ijassa-1006	98	22	on	on	ADP
ijassa-1006	98	23	multimodal	multimodal	NOUN
ijassa-1006	98	24	fitness	fitness	NOUN
ijassa-1006	98	25	landscapes	landscape	NOUN
ijassa-1006	98	26	.	.	PUNCT
ijassa-1006	99	1	recently	recently	ADV
ijassa-1006	99	2	,	,	PUNCT
ijassa-1006	99	3	[	[	X
ijassa-1006	99	4	39	39	NUM
ijassa-1006	99	5	]	]	PUNCT
ijassa-1006	99	6	proposed	propose	VERB
ijassa-1006	99	7	a	a	DET
ijassa-1006	99	8	multi	multi	ADJ
ijassa-1006	99	9	-	-	ADJ
ijassa-1006	99	10	goal	goal	ADJ
ijassa-1006	99	11	optimization	optimization	NOUN
ijassa-1006	99	12	algorithm	algorithm	NOUN
ijassa-1006	99	13	that	that	PRON
ijassa-1006	99	14	periodically	periodically	ADV
ijassa-1006	99	15	rearranges	rearrange	VERB
ijassa-1006	99	16	goals	goal	NOUN
ijassa-1006	99	17	based	base	VERB
ijassa-1006	99	18	on	on	ADP
ijassa-1006	99	19	their	their	PRON
ijassa-1006	99	20	conflict	conflict	NOUN
ijassa-1006	99	21	status	status	NOUN
ijassa-1006	99	22	and	and	CCONJ
ijassa-1006	99	23	selects	select	VERB
ijassa-1006	99	24	a	a	DET
ijassa-1006	99	25	subset	subset	NOUN
ijassa-1006	99	26	of	of	ADP
ijassa-1006	99	27	conflicting	conflict	VERB
ijassa-1006	99	28	goals	goal	NOUN
ijassa-1006	99	29	for	for	ADP
ijassa-1006	99	30	further	further	ADJ
ijassa-1006	99	31	processing	processing	NOUN
ijassa-1006	99	32	.	.	PUNCT
ijassa-1006	100	1	the	the	DET
ijassa-1006	100	2	authors	author	NOUN
ijassa-1006	100	3	used	use	VERB
ijassa-1006	100	4	demo	demo	NOUN
ijassa-1006	100	5	as	as	ADP
ijassa-1006	100	6	the	the	DET
ijassa-1006	100	7	underlying	underlying	ADJ
ijassa-1006	100	8	metaheuristic	metaheuristic	ADJ
ijassa-1006	100	9	algorithm	algorithm	NOUN
ijassa-1006	100	10	,	,	PUNCT
ijassa-1006	100	11	and	and	CCONJ
ijassa-1006	100	12	implemented	implement	VERB
ijassa-1006	100	13	the	the	DET
ijassa-1006	100	14	technique	technique	NOUN
ijassa-1006	100	15	of	of	ADP
ijassa-1006	100	16	selecting	select	VERB
ijassa-1006	100	17	a	a	DET
ijassa-1006	100	18	subset	subset	NOUN
ijassa-1006	100	19	of	of	ADP
ijassa-1006	100	20	conflicting	conflicting	ADJ
ijassa-1006	100	21	goals	goal	NOUN
ijassa-1006	100	22	using	use	VERB
ijassa-1006	100	23	an	an	DET
ijassa-1006	100	24	order	order	NOUN
ijassa-1006	100	25	based	base	VERB
ijassa-1006	100	26	on	on	ADP
ijassa-1006	100	27	the	the	DET
ijassa-1006	100	28	correlation	correlation	NOUN
ijassa-1006	100	29	of	of	ADP
ijassa-1006	100	30	goals	goal	NOUN
ijassa-1006	100	31	.	.	PUNCT
ijassa-1006	101	1	the	the	DET
ijassa-1006	101	2	resulting	result	VERB
ijassa-1006	101	3	method	method	NOUN
ijassa-1006	101	4	is	be	AUX
ijassa-1006	101	5	called	call	VERB
ijassa-1006	101	6	α	α	NOUN
ijassa-1006	101	7	-	-	PUNCT
ijassa-1006	101	8	demo	demo	NOUN
ijassa-1006	101	9	,	,	PUNCT
ijassa-1006	101	10	where	where	SCONJ
ijassa-1006	101	11	α	α	NOUN
ijassa-1006	101	12	is	be	AUX
ijassa-1006	101	13	a	a	DET
ijassa-1006	101	14	parameter	parameter	NOUN
ijassa-1006	101	15	determining	determine	VERB
ijassa-1006	101	16	the	the	DET
ijassa-1006	101	17	number	number	NOUN
ijassa-1006	101	18	of	of	ADP
ijassa-1006	101	19	conflicting	conflicting	ADJ
ijassa-1006	101	20	objectives	objective	NOUN
ijassa-1006	101	21	to	to	PART
ijassa-1006	101	22	select	select	VERB
ijassa-1006	101	23	.	.	PUNCT
ijassa-1006	102	1	de	de	X
ijassa-1006	102	2	has	have	AUX
ijassa-1006	102	3	also	also	ADV
ijassa-1006	102	4	been	be	AUX
ijassa-1006	102	5	used	use	VERB
ijassa-1006	102	6	as	as	ADP
ijassa-1006	102	7	a	a	DET
ijassa-1006	102	8	core	core	NOUN
ijassa-1006	102	9	optimizer	optimizer	NOUN
ijassa-1006	102	10	in	in	ADP
ijassa-1006	102	11	recently	recently	ADV
ijassa-1006	102	12	developed	develop	VERB
ijassa-1006	102	13	decomposition	decomposition	NOUN
ijassa-1006	102	14	-	-	PUNCT
ijassa-1006	102	15	based	base	VERB
ijassa-1006	102	16	moeas	moea	NOUN
ijassa-1006	102	17	for	for	ADP
ijassa-1006	102	18	multi	multi	ADJ
ijassa-1006	102	19	-	-	ADJ
ijassa-1006	102	20	objective	objective	ADJ
ijassa-1006	102	21	optimization	optimization	NOUN
ijassa-1006	102	22	such	such	ADJ
ijassa-1006	102	23	as	as	ADP
ijassa-1006	102	24	[	[	X
ijassa-1006	102	25	40	40	NUM
ijassa-1006	102	26	]	]	PUNCT
ijassa-1006	102	27	.	.	PUNCT
ijassa-1006	103	1	3	3	X
ijassa-1006	103	2	.	.	X
ijassa-1006	103	3	opposition	opposition	NOUN
ijassa-1006	103	4	based	base	VERB
ijassa-1006	103	5	learning	learn	VERB
ijassa-1006	103	6	opposition	opposition	NOUN
ijassa-1006	103	7	based	base	VERB
ijassa-1006	103	8	learning	learning	NOUN
ijassa-1006	103	9	(	(	PUNCT
ijassa-1006	103	10	obl	obl	INTJ
ijassa-1006	103	11	)	)	PUNCT
ijassa-1006	103	12	is	be	AUX
ijassa-1006	103	13	a	a	DET
ijassa-1006	103	14	new	new	ADJ
ijassa-1006	103	15	concept	concept	NOUN
ijassa-1006	103	16	of	of	ADP
ijassa-1006	103	17	machine	machine	NOUN
ijassa-1006	103	18	learning	learning	NOUN
ijassa-1006	103	19	,	,	PUNCT
ijassa-1006	103	20	inspired	inspire	VERB
ijassa-1006	103	21	by	by	ADP
ijassa-1006	103	22	the	the	DET
ijassa-1006	103	23	opposing	opposing	ADJ
ijassa-1006	103	24	relationship	relationship	NOUN
ijassa-1006	103	25	between	between	ADP
ijassa-1006	103	26	entities	entity	NOUN
ijassa-1006	103	27	.	.	PUNCT
ijassa-1006	104	1	in	in	ADP
ijassa-1006	104	2	2005	2005	NUM
ijassa-1006	104	3	,	,	PUNCT
ijassa-1006	104	4	for	for	ADP
ijassa-1006	104	5	the	the	DET
ijassa-1006	104	6	first	first	ADJ
ijassa-1006	104	7	time	time	NOUN
ijassa-1006	104	8	,	,	PUNCT
ijassa-1006	104	9	the	the	DET
ijassa-1006	104	10	concept	concept	NOUN
ijassa-1006	104	11	of	of	ADP
ijassa-1006	104	12	opposition	opposition	NOUN
ijassa-1006	104	13	was	be	AUX
ijassa-1006	104	14	introduced	introduce	VERB
ijassa-1006	104	15	,	,	PUNCT
ijassa-1006	104	16	which	which	PRON
ijassa-1006	104	17	has	have	AUX
ijassa-1006	104	18	attracted	attract	VERB
ijassa-1006	104	19	a	a	DET
ijassa-1006	104	20	lot	lot	NOUN
ijassa-1006	104	21	of	of	ADP
ijassa-1006	104	22	research	research	NOUN
ijassa-1006	104	23	efforts	effort	NOUN
ijassa-1006	104	24	over	over	ADP
ijassa-1006	104	25	the	the	DET
ijassa-1006	104	26	past	past	ADJ
ijassa-1006	104	27	decade	decade	NOUN
ijassa-1006	104	28	.	.	PUNCT
ijassa-1006	105	1	a	a	DET
ijassa-1006	105	2	variety	variety	NOUN
ijassa-1006	105	3	of	of	ADP
ijassa-1006	105	4	soft	soft	ADJ
ijassa-1006	105	5	computer	computer	NOUN
ijassa-1006	105	6	algorithms	algorithm	NOUN
ijassa-1006	105	7	such	such	ADJ
ijassa-1006	105	8	as	as	ADP
ijassa-1006	105	9	optimization	optimization	NOUN
ijassa-1006	105	10	methods	method	NOUN
ijassa-1006	105	11	,	,	PUNCT
ijassa-1006	105	12	reinforcement	reinforcement	NOUN
ijassa-1006	105	13	learning	learning	NOUN
ijassa-1006	105	14	,	,	PUNCT
ijassa-1006	105	15	artificial	artificial	ADJ
ijassa-1006	105	16	neural	neural	ADJ
ijassa-1006	105	17	networks	network	NOUN
ijassa-1006	105	18	,	,	PUNCT
ijassa-1006	105	19	and	and	CCONJ
ijassa-1006	105	20	fuzzy	fuzzy	ADJ
ijassa-1006	105	21	systems	system	NOUN
ijassa-1006	105	22	have	have	AUX
ijassa-1006	105	23	already	already	ADV
ijassa-1006	105	24	used	use	VERB
ijassa-1006	105	25	the	the	DET
ijassa-1006	105	26	concept	concept	NOUN
ijassa-1006	105	27	of	of	ADP
ijassa-1006	105	28	obl	obl	PROPN
ijassa-1006	105	29	to	to	PART
ijassa-1006	105	30	improve	improve	VERB
ijassa-1006	105	31	their	their	PRON
ijassa-1006	105	32	performance	performance	NOUN
ijassa-1006	105	33	.	.	PUNCT
ijassa-1006	106	1	the	the	DET
ijassa-1006	106	2	concept	concept	NOUN
ijassa-1006	106	3	of	of	ADP
ijassa-1006	106	4	computational	computational	ADJ
ijassa-1006	106	5	opposition	opposition	NOUN
ijassa-1006	106	6	[	[	X
ijassa-1006	106	7	41	41	NUM
ijassa-1006	106	8	]	]	PUNCT
ijassa-1006	106	9	was	be	AUX
ijassa-1006	106	10	inspired	inspire	VERB
ijassa-1006	106	11	by	by	ADP
ijassa-1006	106	12	the	the	DET
ijassa-1006	106	13	concept	concept	NOUN
ijassa-1006	106	14	of	of	ADP
ijassa-1006	106	15	opposition	opposition	NOUN
ijassa-1006	106	16	in	in	ADP
ijassa-1006	106	17	the	the	DET
ijassa-1006	106	18	real	real	ADJ
ijassa-1006	106	19	world	world	NOUN
ijassa-1006	106	20	and	and	CCONJ
ijassa-1006	106	21	opposing	oppose	VERB
ijassa-1006	106	22	numbers	number	NOUN
ijassa-1006	106	23	were	be	AUX
ijassa-1006	106	24	simply	simply	ADV
ijassa-1006	106	25	defined	define	VERB
ijassa-1006	106	26	as	as	SCONJ
ijassa-1006	106	27	follows	follow	VERB
ijassa-1006	106	28	:	:	PUNCT
ijassa-1006	106	29	definition	definition	NOUN
ijassa-1006	106	30	3.1	3.1	NUM
ijassa-1006	106	31	:	:	PUNCT
ijassa-1006	106	32	(	(	PUNCT
ijassa-1006	106	33	opposite	opposite	ADJ
ijassa-1006	106	34	number	number	NOUN
ijassa-1006	106	35	)	)	PUNCT
ijassa-1006	106	36	.	.	PUNCT
ijassa-1006	107	1	[	[	X
ijassa-1006	107	2	41	41	NUM
ijassa-1006	107	3	]	]	PUNCT
ijassa-1006	107	4	let	let	VERB
ijassa-1006	107	5	𝒙	𝒙	PRON
ijassa-1006	107	6	∈	∈	PROPN
ijassa-1006	108	1	[	[	X
ijassa-1006	108	2	𝒂	𝒂	X
ijassa-1006	108	3	,	,	PUNCT
ijassa-1006	108	4	𝒃	𝒃	AUX
ijassa-1006	108	5	]	]	PUNCT
ijassa-1006	108	6	be	be	AUX
ijassa-1006	108	7	a	a	DET
ijassa-1006	108	8	real	real	ADJ
ijassa-1006	108	9	number	number	NOUN
ijassa-1006	108	10	.	.	PUNCT
ijassa-1006	109	1	its	its	PRON
ijassa-1006	109	2	opposite	opposite	ADJ
ijassa-1006	109	3	,	,	PUNCT
ijassa-1006	109	4	x	x	SYM
ijassa-1006	109	5			NOUN
ijassa-1006	109	6	,	,	PUNCT
ijassa-1006	109	7	is	be	AUX
ijassa-1006	109	8	defined	define	VERB
ijassa-1006	109	9	as	as	SCONJ
ijassa-1006	109	10	follows	follow	VERB
ijassa-1006	109	11	:	:	PUNCT
ijassa-1006	109	12	𝑥	𝑥	X
ijassa-1006	109	13	=	=	PUNCT
ijassa-1006	110	1	𝑎	𝑎	X
ijassa-1006	110	2	+	+	NOUN
ijassa-1006	110	3	𝑏	𝑏	PROPN
ijassa-1006	110	4	−	−	PROPN
ijassa-1006	110	5	𝑥	𝑥	PROPN
ijassa-1006	110	6	(	(	PUNCT
ijassa-1006	110	7	3.1	3.1	NUM
ijassa-1006	110	8	)	)	PUNCT
ijassa-1006	110	9	definition	definition	NOUN
ijassa-1006	110	10	3.1	3.1	NUM
ijassa-1006	110	11	:	:	PUNCT
ijassa-1006	110	12	(	(	PUNCT
ijassa-1006	110	13	opposite	opposite	ADJ
ijassa-1006	110	14	point	point	NOUN
ijassa-1006	110	15	in	in	ADP
ijassa-1006	110	16	space	space	NOUN
ijassa-1006	110	17	d	d	NOUN
ijassa-1006	110	18	)	)	PUNCT
ijassa-1006	110	19	.	.	PUNCT
ijassa-1006	111	1	[	[	X
ijassa-1006	111	2	41	41	NUM
ijassa-1006	111	3	]	]	PUNCT
ijassa-1006	111	4	let	let	VERB
ijassa-1006	111	5	𝑥	𝑥	PRON
ijassa-1006	111	6	(	(	PUNCT
ijassa-1006	111	7	𝑥	𝑥	INTJ
ijassa-1006	111	8	,	,	PUNCT
ijassa-1006	111	9	.	.	PUNCT
ijassa-1006	111	10	.	.	PUNCT
ijassa-1006	112	1	.	.	PUNCT
ijassa-1006	113	1	,	,	PUNCT
ijassa-1006	113	2	𝑥	𝑥	AUX
ijassa-1006	113	3	)	)	PUNCT
ijassa-1006	113	4	be	be	AUX
ijassa-1006	113	5	a	a	DET
ijassa-1006	113	6	point	point	NOUN
ijassa-1006	113	7	in	in	ADP
ijassa-1006	113	8	dimensional	dimensional	ADJ
ijassa-1006	113	9	space	space	NOUN
ijassa-1006	113	10	𝐷	𝐷	NOUN
ijassa-1006	113	11	and	and	CCONJ
ijassa-1006	113	12	𝑥	𝑥	DET
ijassa-1006	113	13	∈	∈	PROPN
ijassa-1006	114	1	[	[	X
ijassa-1006	114	2	𝑎	𝑎	X
ijassa-1006	114	3	,	,	PUNCT
ijassa-1006	114	4	𝑏	𝑏	NOUN
ijassa-1006	114	5	]	]	X
ijassa-1006	114	6	,	,	PUNCT
ijassa-1006	114	7	𝑖	𝑖	SYM
ijassa-1006	114	8	=	=	SYM
ijassa-1006	114	9	1	1	NUM
ijassa-1006	114	10	,	,	PUNCT
ijassa-1006	114	11	2	2	NUM
ijassa-1006	114	12	,	,	PUNCT
ijassa-1006	114	13	.	.	PUNCT
ijassa-1006	114	14	.	.	PUNCT
ijassa-1006	115	1	.	.	PUNCT
ijassa-1006	116	1	,	,	PUNCT
ijassa-1006	116	2	𝐷.	𝐷.	VERB
ijassa-1006	116	3	the	the	DET
ijassa-1006	116	4	opposite	opposite	NOUN
ijassa-1006	116	5	of	of	ADP
ijassa-1006	116	6	𝑥	𝑥	PROPN
ijassa-1006	116	7	is	be	AUX
ijassa-1006	116	8	defined	define	VERB
ijassa-1006	116	9	by	by	ADP
ijassa-1006	116	10	x	x	SYM
ijassa-1006	116	11			PROPN
ijassa-1006	116	12	(	(	PUNCT
ijassa-1006	116	13	𝑥	𝑥	INTJ
ijassa-1006	116	14	,	,	PUNCT
ijassa-1006	116	15	...	...	PUNCT
ijassa-1006	116	16	,	,	PUNCT
ijassa-1006	116	17	𝑥	𝑥	PROPN
ijassa-1006	116	18	)	)	PUNCT
ijassa-1006	116	19	as	as	SCONJ
ijassa-1006	116	20	follows	follow	VERB
ijassa-1006	116	21	:	:	PUNCT
ijassa-1006	116	22	𝑥	𝑥	NOUN
ijassa-1006	116	23	=	=	PUNCT
ijassa-1006	117	1	𝑎	𝑎	X
ijassa-1006	117	2	+	+	NOUN
ijassa-1006	117	3	𝑏	𝑏	NOUN
ijassa-1006	117	4	−	−	PROPN
ijassa-1006	117	5	𝑥	𝑥	PROPN
ijassa-1006	117	6	(	(	PUNCT
ijassa-1006	117	7	3.2	3.2	NUM
ijassa-1006	117	8	)	)	PUNCT
ijassa-1006	117	9	in	in	ADP
ijassa-1006	117	10	fact	fact	NOUN
ijassa-1006	117	11	,	,	PUNCT
ijassa-1006	117	12	they	they	PRON
ijassa-1006	117	13	indicate	indicate	VERB
ijassa-1006	117	14	that	that	SCONJ
ijassa-1006	117	15	to	to	PART
ijassa-1006	117	16	find	find	VERB
ijassa-1006	117	17	the	the	DET
ijassa-1006	117	18	unknown	unknown	ADJ
ijassa-1006	117	19	optimal	optimal	ADJ
ijassa-1006	117	20	solution	solution	NOUN
ijassa-1006	117	21	,	,	PUNCT
ijassa-1006	117	22	the	the	DET
ijassa-1006	117	23	simultaneous	simultaneous	ADJ
ijassa-1006	117	24	search	search	NOUN
ijassa-1006	117	25	for	for	ADP
ijassa-1006	117	26	a	a	DET
ijassa-1006	117	27	random	random	ADJ
ijassa-1006	117	28	direction	direction	NOUN
ijassa-1006	117	29	and	and	CCONJ
ijassa-1006	117	30	its	its	PRON
ijassa-1006	117	31	opposite	opposite	NOUN
ijassa-1006	117	32	gives	give	VERB
ijassa-1006	117	33	a	a	DET
ijassa-1006	117	34	higher	high	ADJ
ijassa-1006	117	35	chance	chance	NOUN
ijassa-1006	117	36	of	of	ADP
ijassa-1006	117	37	finding	find	VERB
ijassa-1006	117	38	the	the	DET
ijassa-1006	117	39	promising	promising	ADJ
ijassa-1006	117	40	regions	region	NOUN
ijassa-1006	117	41	.	.	PUNCT
ijassa-1006	118	1	it	it	PRON
ijassa-1006	118	2	is	be	AUX
ijassa-1006	118	3	reasonable	reasonable	ADJ
ijassa-1006	118	4	that	that	SCONJ
ijassa-1006	118	5	if	if	SCONJ
ijassa-1006	118	6	the	the	DET
ijassa-1006	118	7	current	current	ADJ
ijassa-1006	118	8	estimates	estimate	NOUN
ijassa-1006	118	9	(	(	PUNCT
ijassa-1006	118	10	assume	assume	NOUN
ijassa-1006	118	11	)	)	PUNCT
ijassa-1006	118	12	are	be	AUX
ijassa-1006	118	13	far	far	ADV
ijassa-1006	118	14	from	from	ADP
ijassa-1006	118	15	the	the	DET
ijassa-1006	118	16	unknown	unknown	ADJ
ijassa-1006	118	17	optimal	optimal	ADJ
ijassa-1006	118	18	solution	solution	NOUN
ijassa-1006	118	19	,	,	PUNCT
ijassa-1006	118	20	the	the	DET
ijassa-1006	118	21	computation	computation	NOUN
ijassa-1006	118	22	of	of	ADP
ijassa-1006	118	23	their	their	PRON
ijassa-1006	118	24	opposites	opposite	NOUN
ijassa-1006	118	25	leads	lead	VERB
ijassa-1006	118	26	in	in	ADP
ijassa-1006	118	27	the	the	DET
ijassa-1006	118	28	opposite	opposite	ADJ
ijassa-1006	118	29	direction	direction	NOUN
ijassa-1006	118	30	to	to	ADP
ijassa-1006	118	31	the	the	DET
ijassa-1006	118	32	unknown	unknown	ADJ
ijassa-1006	118	33	optimal	optimal	ADJ
ijassa-1006	118	34	solution	solution	NOUN
ijassa-1006	118	35	.	.	PUNCT
ijassa-1006	119	1	note	note	VERB
ijassa-1006	119	2	that	that	SCONJ
ijassa-1006	119	3	the	the	DET
ijassa-1006	119	4	base	base	NOUN
ijassa-1006	119	5	opposite	opposite	ADJ
ijassa-1006	119	6	point	point	NOUN
ijassa-1006	119	7	is	be	AUX
ijassa-1006	119	8	calculated	calculate	VERB
ijassa-1006	119	9	the	the	DET
ijassa-1006	119	10	same	same	ADJ
ijassa-1006	119	11	as	as	ADP
ijassa-1006	119	12	a	a	DET
ijassa-1006	119	13	reflected	reflected	ADJ
ijassa-1006	119	14	point	point	NOUN
ijassa-1006	119	15	when	when	SCONJ
ijassa-1006	119	16	it	it	PRON
ijassa-1006	119	17	is	be	AUX
ijassa-1006	119	18	calculated	calculate	VERB
ijassa-1006	119	19	through	through	ADP
ijassa-1006	119	20	the	the	DET
ijassa-1006	119	21	center	center	NOUN
ijassa-1006	119	22	point	point	NOUN
ijassa-1006	119	23	(	(	PUNCT
ijassa-1006	119	24	(	(	PUNCT
ijassa-1006	119	25	𝑥	𝑥	X
ijassa-1006	119	26	+	+	CCONJ
ijassa-1006	119	27	𝑥	𝑥	X
ijassa-1006	119	28	+	+	CCONJ
ijassa-1006	119	29	⋯	⋯	VERB
ijassa-1006	119	30	+	+	CCONJ
ijassa-1006	119	31	𝑥	𝑥	NOUN
ijassa-1006	119	32	)	)	PUNCT
ijassa-1006	119	33	/2	/2	PUNCT
ijassa-1006	119	34	)	)	PUNCT
ijassa-1006	119	35	.	.	PUNCT
ijassa-1006	120	1	160	160	NUM
ijassa-1006	120	2	n.	n.	NOUN
ijassa-1006	120	3	boukhari	boukhari	NOUN
ijassa-1006	120	4	,	,	PUNCT
ijassa-1006	120	5	m.	m.	NOUN
ijassa-1006	120	6	a.	a.	NOUN
ijassa-1006	120	7	nemmich	nemmich	PROPN
ijassa-1006	120	8	,	,	PUNCT
ijassa-1006	120	9	f.	f.	PROPN
ijassa-1006	120	10	debbat	debbat	PROPN
ijassa-1006	120	11	,	,	PUNCT
ijassa-1006	120	12	n.	n.	NOUN
ijassa-1006	120	13	monmarché	monmarché	NOUN
ijassa-1006	120	14	,	,	PUNCT
ijassa-1006	120	15	m.	m.	NOUN
ijassa-1006	120	16	slimane	slimane	PROPN
ijassa-1006	120	17	copyright	copyright	NOUN
ijassa-1006	121	1	©	©	PROPN
ijassa-1006	121	2	0000	0000	NUM
ijassa-1006	121	3	assa	assa	PROPN
ijassa-1006	121	4	adv	adv	PROPN
ijassa-1006	121	5	.	.	PUNCT
ijassa-1006	122	1	in	in	ADP
ijassa-1006	122	2	systems	system	NOUN
ijassa-1006	122	3	science	science	NOUN
ijassa-1006	122	4	and	and	CCONJ
ijassa-1006	122	5	appl	appl	NOUN
ijassa-1006	122	6	.	.	PUNCT
ijassa-1006	123	1	(	(	PUNCT
ijassa-1006	123	2	0000	0000	NUM
ijassa-1006	123	3	)	)	PUNCT
ijassa-1006	124	1	obl	obl	PROPN
ijassa-1006	124	2	was	be	AUX
ijassa-1006	124	3	introduced	introduce	VERB
ijassa-1006	124	4	as	as	ADP
ijassa-1006	124	5	an	an	DET
ijassa-1006	124	6	attempt	attempt	NOUN
ijassa-1006	124	7	to	to	PART
ijassa-1006	124	8	increase	increase	VERB
ijassa-1006	124	9	the	the	DET
ijassa-1006	124	10	rate	rate	NOUN
ijassa-1006	124	11	of	of	ADP
ijassa-1006	124	12	learning	learn	VERB
ijassa-1006	124	13	in	in	ADP
ijassa-1006	124	14	eas	eas	PROPN
ijassa-1006	124	15	.	.	PUNCT
ijassa-1006	125	1	since	since	SCONJ
ijassa-1006	125	2	evolution	evolution	NOUN
ijassa-1006	125	3	is	be	AUX
ijassa-1006	125	4	a	a	DET
ijassa-1006	125	5	slow	slow	ADJ
ijassa-1006	125	6	process	process	NOUN
ijassa-1006	125	7	while	while	SCONJ
ijassa-1006	125	8	revolution	revolution	NOUN
ijassa-1006	125	9	is	be	AUX
ijassa-1006	125	10	a	a	DET
ijassa-1006	125	11	fast	fast	ADJ
ijassa-1006	125	12	process	process	NOUN
ijassa-1006	125	13	,	,	PUNCT
ijassa-1006	125	14	the	the	DET
ijassa-1006	125	15	simulation	simulation	NOUN
ijassa-1006	125	16	of	of	ADP
ijassa-1006	125	17	revolution	revolution	NOUN
ijassa-1006	125	18	in	in	ADP
ijassa-1006	125	19	eas	ea	NOUN
ijassa-1006	125	20	might	might	AUX
ijassa-1006	125	21	speed	speed	VERB
ijassa-1006	125	22	up	up	ADP
ijassa-1006	125	23	their	their	PRON
ijassa-1006	125	24	convergence	convergence	NOUN
ijassa-1006	125	25	.	.	PUNCT
ijassa-1006	126	1	it	it	PRON
ijassa-1006	126	2	has	have	AUX
ijassa-1006	126	3	also	also	ADV
ijassa-1006	126	4	been	be	AUX
ijassa-1006	126	5	implemented	implement	VERB
ijassa-1006	126	6	in	in	ADP
ijassa-1006	126	7	many	many	ADJ
ijassa-1006	126	8	other	other	ADJ
ijassa-1006	126	9	optimization	optimization	NOUN
ijassa-1006	126	10	algorithms	algorithm	NOUN
ijassa-1006	126	11	as	as	SCONJ
ijassa-1006	126	12	mentioned	mention	VERB
ijassa-1006	126	13	in	in	ADP
ijassa-1006	126	14	section	section	NOUN
ijassa-1006	126	15	01	01	NUM
ijassa-1006	126	16	.	.	PUNCT
ijassa-1006	127	1	several	several	ADJ
ijassa-1006	127	2	research	research	NOUN
ijassa-1006	127	3	works	work	NOUN
ijassa-1006	127	4	have	have	AUX
ijassa-1006	127	5	been	be	AUX
ijassa-1006	127	6	conducted	conduct	VERB
ijassa-1006	127	7	in	in	ADP
ijassa-1006	127	8	utilizing	utilize	VERB
ijassa-1006	127	9	obl	obl	PROPN
ijassa-1006	127	10	concept	concept	NOUN
ijassa-1006	127	11	and	and	CCONJ
ijassa-1006	127	12	extending	extend	VERB
ijassa-1006	127	13	the	the	DET
ijassa-1006	127	14	new	new	ADJ
ijassa-1006	127	15	schemes	scheme	NOUN
ijassa-1006	127	16	of	of	ADP
ijassa-1006	127	17	obl	obl	PROPN
ijassa-1006	127	18	to	to	PART
ijassa-1006	127	19	enhance	enhance	VERB
ijassa-1006	127	20	ea	ea	ADP
ijassa-1006	127	21	algorithms	algorithm	NOUN
ijassa-1006	127	22	.	.	PUNCT
ijassa-1006	128	1	also	also	ADV
ijassa-1006	128	2	,	,	PUNCT
ijassa-1006	128	3	mathematical	mathematical	ADJ
ijassa-1006	128	4	theorems	theorem	NOUN
ijassa-1006	128	5	were	be	AUX
ijassa-1006	128	6	derived	derive	VERB
ijassa-1006	128	7	to	to	PART
ijassa-1006	128	8	demonstrate	demonstrate	VERB
ijassa-1006	128	9	that	that	SCONJ
ijassa-1006	128	10	opposite	opposite	ADJ
ijassa-1006	128	11	candidate	candidate	NOUN
ijassa-1006	128	12	solutions	solution	NOUN
ijassa-1006	128	13	have	have	VERB
ijassa-1006	128	14	higher	high	ADJ
ijassa-1006	128	15	probability	probability	NOUN
ijassa-1006	128	16	to	to	PART
ijassa-1006	128	17	be	be	AUX
ijassa-1006	128	18	closer	close	ADJ
ijassa-1006	128	19	to	to	ADP
ijassa-1006	128	20	an	an	DET
ijassa-1006	128	21	unknown	unknown	ADJ
ijassa-1006	128	22	optimal	optimal	ADJ
ijassa-1006	128	23	solution	solution	NOUN
ijassa-1006	128	24	than	than	ADP
ijassa-1006	128	25	the	the	DET
ijassa-1006	128	26	randomly	randomly	ADV
ijassa-1006	128	27	generated	generate	VERB
ijassa-1006	128	28	candidate	candidate	NOUN
ijassa-1006	128	29	solutions	solution	NOUN
ijassa-1006	128	30	.	.	PUNCT
ijassa-1006	129	1	in	in	ADP
ijassa-1006	129	2	[	[	X
ijassa-1006	129	3	42	42	NUM
ijassa-1006	129	4	]	]	PUNCT
ijassa-1006	129	5	,	,	PUNCT
ijassa-1006	129	6	some	some	DET
ijassa-1006	129	7	theorems	theorem	NOUN
ijassa-1006	129	8	are	be	AUX
ijassa-1006	129	9	mathematically	mathematically	ADV
ijassa-1006	129	10	proved	prove	VERB
ijassa-1006	129	11	to	to	PART
ijassa-1006	129	12	conclude	conclude	VERB
ijassa-1006	129	13	the	the	DET
ijassa-1006	129	14	advantage	advantage	NOUN
ijassa-1006	129	15	of	of	ADP
ijassa-1006	129	16	using	use	VERB
ijassa-1006	129	17	the	the	DET
ijassa-1006	129	18	obl	obl	PROPN
ijassa-1006	129	19	concept	concept	NOUN
ijassa-1006	129	20	.	.	PUNCT
ijassa-1006	130	1	also	also	ADV
ijassa-1006	130	2	,	,	PUNCT
ijassa-1006	130	3	they	they	PRON
ijassa-1006	130	4	conducted	conduct	VERB
ijassa-1006	130	5	some	some	DET
ijassa-1006	130	6	experiments	experiment	NOUN
ijassa-1006	130	7	by	by	ADP
ijassa-1006	130	8	utilizing	utilize	VERB
ijassa-1006	130	9	the	the	DET
ijassa-1006	130	10	obl	obl	PROPN
ijassa-1006	130	11	concept	concept	NOUN
ijassa-1006	130	12	in	in	ADP
ijassa-1006	130	13	the	the	DET
ijassa-1006	130	14	framework	framework	NOUN
ijassa-1006	130	15	of	of	ADP
ijassa-1006	130	16	ea	ea	NOUN
ijassa-1006	130	17	algorithms	algorithm	NOUN
ijassa-1006	130	18	to	to	PART
ijassa-1006	130	19	enhance	enhance	VERB
ijassa-1006	130	20	their	their	PRON
ijassa-1006	130	21	performance	performance	NOUN
ijassa-1006	130	22	.	.	PUNCT
ijassa-1006	131	1	in	in	ADP
ijassa-1006	131	2	fact	fact	NOUN
ijassa-1006	131	3	,	,	PUNCT
ijassa-1006	131	4	according	accord	VERB
ijassa-1006	131	5	to	to	ADP
ijassa-1006	131	6	probability	probability	NOUN
ijassa-1006	131	7	theory	theory	NOUN
ijassa-1006	131	8	,	,	PUNCT
ijassa-1006	131	9	50	50	NUM
ijassa-1006	131	10	%	%	NOUN
ijassa-1006	131	11	of	of	ADP
ijassa-1006	131	12	the	the	DET
ijassa-1006	131	13	time	time	NOUN
ijassa-1006	131	14	,	,	PUNCT
ijassa-1006	131	15	a	a	DET
ijassa-1006	131	16	guess	guess	NOUN
ijassa-1006	131	17	is	be	AUX
ijassa-1006	131	18	further	furth	ADJ
ijassa-1006	131	19	from	from	ADP
ijassa-1006	131	20	the	the	DET
ijassa-1006	131	21	solution	solution	NOUN
ijassa-1006	131	22	than	than	ADP
ijassa-1006	131	23	its	its	PRON
ijassa-1006	131	24	opposite	opposite	ADJ
ijassa-1006	131	25	guess	guess	NOUN
ijassa-1006	131	26	.	.	PUNCT
ijassa-1006	132	1	therefore	therefore	ADV
ijassa-1006	132	2	,	,	PUNCT
ijassa-1006	132	3	it	it	PRON
ijassa-1006	132	4	will	will	AUX
ijassa-1006	132	5	generate	generate	VERB
ijassa-1006	132	6	the	the	DET
ijassa-1006	132	7	opposite	opposite	ADJ
ijassa-1006	132	8	individual	individual	NOUN
ijassa-1006	132	9	of	of	ADP
ijassa-1006	132	10	the	the	DET
ijassa-1006	132	11	current	current	ADJ
ijassa-1006	132	12	individual	individual	NOUN
ijassa-1006	132	13	,	,	PUNCT
ijassa-1006	132	14	evaluate	evaluate	VERB
ijassa-1006	132	15	the	the	DET
ijassa-1006	132	16	fitness	fitness	NOUN
ijassa-1006	132	17	of	of	ADP
ijassa-1006	132	18	both	both	DET
ijassa-1006	132	19	individuals	individual	NOUN
ijassa-1006	132	20	,	,	PUNCT
ijassa-1006	132	21	and	and	CCONJ
ijassa-1006	132	22	select	select	VERB
ijassa-1006	132	23	the	the	DET
ijassa-1006	132	24	better	well	ADJ
ijassa-1006	132	25	one	one	NOUN
ijassa-1006	132	26	as	as	ADP
ijassa-1006	132	27	a	a	DET
ijassa-1006	132	28	new	new	ADJ
ijassa-1006	132	29	individual	individual	NOUN
ijassa-1006	132	30	which	which	PRON
ijassa-1006	132	31	can	can	AUX
ijassa-1006	132	32	consequently	consequently	ADV
ijassa-1006	132	33	improve	improve	VERB
ijassa-1006	132	34	the	the	DET
ijassa-1006	132	35	quality	quality	NOUN
ijassa-1006	132	36	of	of	ADP
ijassa-1006	132	37	the	the	DET
ijassa-1006	132	38	search	search	NOUN
ijassa-1006	132	39	population	population	NOUN
ijassa-1006	132	40	and	and	CCONJ
ijassa-1006	132	41	accelerate	accelerate	VERB
ijassa-1006	132	42	convergence	convergence	NOUN
ijassa-1006	132	43	.	.	PUNCT
ijassa-1006	133	1	the	the	DET
ijassa-1006	133	2	motivation	motivation	NOUN
ijassa-1006	133	3	for	for	ADP
ijassa-1006	133	4	this	this	DET
ijassa-1006	133	5	work	work	NOUN
ijassa-1006	133	6	was	be	AUX
ijassa-1006	133	7	twofold	twofold	ADV
ijassa-1006	133	8	.	.	PUNCT
ijassa-1006	134	1	first	first	ADV
ijassa-1006	134	2	,	,	PUNCT
ijassa-1006	134	3	we	we	PRON
ijassa-1006	134	4	wanted	want	VERB
ijassa-1006	134	5	to	to	PART
ijassa-1006	134	6	design	design	VERB
ijassa-1006	134	7	an	an	DET
ijassa-1006	134	8	efficient	efficient	ADJ
ijassa-1006	134	9	algorithm	algorithm	NOUN
ijassa-1006	134	10	for	for	ADP
ijassa-1006	134	11	multi	multi	ADJ
ijassa-1006	134	12	-	-	ADJ
ijassa-1006	134	13	objective	objective	ADJ
ijassa-1006	134	14	optimization	optimization	NOUN
ijassa-1006	134	15	,	,	PUNCT
ijassa-1006	134	16	which	which	PRON
ijassa-1006	134	17	would	would	AUX
ijassa-1006	134	18	use	use	VERB
ijassa-1006	134	19	de	de	ADV
ijassa-1006	134	20	for	for	ADP
ijassa-1006	134	21	decision	decision	NOUN
ijassa-1006	134	22	space	space	NOUN
ijassa-1006	134	23	exploration	exploration	NOUN
ijassa-1006	134	24	in	in	ADP
ijassa-1006	134	25	a	a	DET
ijassa-1006	134	26	simple	simple	ADJ
ijassa-1006	134	27	way	way	NOUN
ijassa-1006	134	28	.	.	PUNCT
ijassa-1006	135	1	although	although	SCONJ
ijassa-1006	135	2	de	de	NOUN
ijassa-1006	135	3	-	-	ADJ
ijassa-1006	135	4	based	base	VERB
ijassa-1006	135	5	algorithms	algorithm	NOUN
ijassa-1006	135	6	for	for	ADP
ijassa-1006	135	7	multi	multi	ADJ
ijassa-1006	135	8	-	-	ADJ
ijassa-1006	135	9	objective	objective	ADJ
ijassa-1006	135	10	optimization	optimization	NOUN
ijassa-1006	135	11	have	have	AUX
ijassa-1006	135	12	already	already	ADV
ijassa-1006	135	13	been	be	AUX
ijassa-1006	135	14	proposed	propose	VERB
ijassa-1006	135	15	in	in	ADP
ijassa-1006	135	16	the	the	DET
ijassa-1006	135	17	past	past	NOUN
ijassa-1006	135	18	,	,	PUNCT
ijassa-1006	135	19	they	they	PRON
ijassa-1006	135	20	have	have	AUX
ijassa-1006	135	21	either	either	CCONJ
ijassa-1006	135	22	ignored	ignore	VERB
ijassa-1006	135	23	the	the	DET
ijassa-1006	135	24	basic	basic	ADJ
ijassa-1006	135	25	feature	feature	NOUN
ijassa-1006	135	26	of	of	ADP
ijassa-1006	135	27	de	de	X
ijassa-1006	135	28	of	of	ADP
ijassa-1006	135	29	comparing	compare	VERB
ijassa-1006	135	30	each	each	DET
ijassa-1006	135	31	new	new	ADJ
ijassa-1006	135	32	solution	solution	NOUN
ijassa-1006	135	33	.	.	PUNCT
ijassa-1006	136	1	to	to	ADP
ijassa-1006	136	2	its	its	PRON
ijassa-1006	136	3	parent	parent	NOUN
ijassa-1006	136	4	,	,	PUNCT
ijassa-1006	136	5	or	or	CCONJ
ijassa-1006	136	6	applied	apply	VERB
ijassa-1006	136	7	it	it	PRON
ijassa-1006	136	8	too	too	ADV
ijassa-1006	136	9	strictly	strictly	ADV
ijassa-1006	136	10	for	for	ADP
ijassa-1006	136	11	multi	multi	ADJ
ijassa-1006	136	12	-	-	ADJ
ijassa-1006	136	13	objective	objective	ADJ
ijassa-1006	136	14	optimization	optimization	NOUN
ijassa-1006	136	15	.	.	PUNCT
ijassa-1006	137	1	in	in	ADP
ijassa-1006	137	2	addition	addition	NOUN
ijassa-1006	137	3	,	,	PUNCT
ijassa-1006	137	4	the	the	DET
ijassa-1006	137	5	existing	exist	VERB
ijassa-1006	137	6	approaches	approach	NOUN
ijassa-1006	137	7	only	only	ADV
ijassa-1006	137	8	use	use	VERB
ijassa-1006	137	9	the	the	DET
ijassa-1006	137	10	environmental	environmental	ADJ
ijassa-1006	137	11	selection	selection	NOUN
ijassa-1006	137	12	method	method	NOUN
ijassa-1006	137	13	of	of	ADP
ijassa-1006	137	14	nsga	nsga	NOUN
ijassa-1006	137	15	-	-	PUNCT
ijassa-1006	137	16	ii	ii	NOUN
ijassa-1006	137	17	,	,	PUNCT
ijassa-1006	137	18	while	while	SCONJ
ijassa-1006	137	19	our	our	PRON
ijassa-1006	137	20	objective	objective	NOUN
ijassa-1006	137	21	was	be	AUX
ijassa-1006	137	22	to	to	PART
ijassa-1006	137	23	allow	allow	VERB
ijassa-1006	137	24	combinations	combination	NOUN
ijassa-1006	137	25	of	of	ADP
ijassa-1006	137	26	exploration	exploration	NOUN
ijassa-1006	137	27	of	of	ADP
ijassa-1006	137	28	the	the	DET
ijassa-1006	137	29	decision	decision	NOUN
ijassa-1006	137	30	space	space	NOUN
ijassa-1006	137	31	to	to	PART
ijassa-1006	137	32	boost	boost	VERB
ijassa-1006	137	33	the	the	DET
ijassa-1006	137	34	algorithm	algorithm	NOUN
ijassa-1006	137	35	to	to	PART
ijassa-1006	137	36	select	select	VERB
ijassa-1006	137	37	better	well	ADJ
ijassa-1006	137	38	solutions	solution	NOUN
ijassa-1006	137	39	with	with	ADP
ijassa-1006	137	40	a	a	DET
ijassa-1006	137	41	good	good	ADJ
ijassa-1006	137	42	diversity	diversity	NOUN
ijassa-1006	137	43	compared	compare	VERB
ijassa-1006	137	44	to	to	ADP
ijassa-1006	137	45	the	the	DET
ijassa-1006	137	46	algorithms	algorithm	NOUN
ijassa-1006	137	47	proposed	propose	VERB
ijassa-1006	137	48	in	in	ADP
ijassa-1006	137	49	the	the	DET
ijassa-1006	137	50	literature	literature	NOUN
ijassa-1006	137	51	.	.	PUNCT
ijassa-1006	138	1	the	the	DET
ijassa-1006	138	2	second	second	ADJ
ijassa-1006	138	3	objective	objective	NOUN
ijassa-1006	138	4	is	be	AUX
ijassa-1006	138	5	to	to	PART
ijassa-1006	138	6	apply	apply	VERB
ijassa-1006	138	7	an	an	DET
ijassa-1006	138	8	efficient	efficient	ADJ
ijassa-1006	138	9	hybridization	hybridization	NOUN
ijassa-1006	138	10	of	of	ADP
ijassa-1006	138	11	the	the	DET
ijassa-1006	138	12	de	de	X
ijassa-1006	138	13	-	-	PUNCT
ijassa-1006	138	14	based	base	VERB
ijassa-1006	138	15	multi	multi	ADJ
ijassa-1006	138	16	-	-	ADJ
ijassa-1006	138	17	objective	objective	ADJ
ijassa-1006	138	18	optimization	optimization	NOUN
ijassa-1006	138	19	algorithm	algorithm	NOUN
ijassa-1006	138	20	with	with	ADP
ijassa-1006	138	21	other	other	ADJ
ijassa-1006	138	22	training	training	NOUN
ijassa-1006	138	23	technique	technique	NOUN
ijassa-1006	138	24	in	in	ADP
ijassa-1006	138	25	order	order	NOUN
ijassa-1006	138	26	to	to	PART
ijassa-1006	138	27	reduce	reduce	VERB
ijassa-1006	138	28	the	the	DET
ijassa-1006	138	29	complexity	complexity	NOUN
ijassa-1006	138	30	of	of	ADP
ijassa-1006	138	31	the	the	DET
ijassa-1006	138	32	compute	compute	NOUN
ijassa-1006	138	33	and	and	CCONJ
ijassa-1006	138	34	that	that	SCONJ
ijassa-1006	138	35	the	the	DET
ijassa-1006	138	36	results	result	NOUN
ijassa-1006	138	37	are	be	AUX
ijassa-1006	138	38	precise	precise	ADJ
ijassa-1006	138	39	and	and	CCONJ
ijassa-1006	138	40	simple	simple	ADJ
ijassa-1006	138	41	.	.	PUNCT
ijassa-1006	139	1	our	our	PRON
ijassa-1006	139	2	hybrid	hybrid	ADJ
ijassa-1006	139	3	approach	approach	NOUN
ijassa-1006	139	4	could	could	AUX
ijassa-1006	139	5	help	help	VERB
ijassa-1006	139	6	by	by	ADP
ijassa-1006	139	7	exploring	explore	VERB
ijassa-1006	139	8	space	space	NOUN
ijassa-1006	139	9	.	.	PUNCT
ijassa-1006	140	1	4	4	X
ijassa-1006	140	2	.	.	NUM
ijassa-1006	140	3	proposed	propose	VERB
ijassa-1006	140	4	hybrid	hybrid	ADJ
ijassa-1006	140	5	algorithm	algorithm	NOUN
ijassa-1006	140	6	mode	mode	PROPN
ijassa-1006	140	7	-	-	PUNCT
ijassa-1006	140	8	obl	obl	PROPN
ijassa-1006	140	9	this	this	DET
ijassa-1006	140	10	section	section	NOUN
ijassa-1006	140	11	describes	describe	VERB
ijassa-1006	140	12	the	the	DET
ijassa-1006	140	13	multi	multi	ADJ
ijassa-1006	140	14	-	-	ADJ
ijassa-1006	140	15	objective	objective	ADJ
ijassa-1006	140	16	differential	differential	ADJ
ijassa-1006	140	17	evolution	evolution	NOUN
ijassa-1006	140	18	based	base	VERB
ijassa-1006	140	19	on	on	ADP
ijassa-1006	140	20	the	the	DET
ijassa-1006	140	21	opposition	opposition	NOUN
ijassa-1006	140	22	mode	mode	PROPN
ijassa-1006	140	23	-	-	PUNCT
ijassa-1006	140	24	obl	obl	PROPN
ijassa-1006	140	25	developed	develop	VERB
ijassa-1006	140	26	in	in	ADP
ijassa-1006	140	27	this	this	DET
ijassa-1006	140	28	study	study	NOUN
ijassa-1006	140	29	on	on	ADP
ijassa-1006	140	30	the	the	DET
ijassa-1006	140	31	basis	basis	NOUN
ijassa-1006	140	32	of	of	ADP
ijassa-1006	140	33	the	the	DET
ijassa-1006	140	34	mode	mode	PROPN
ijassa-1006	140	35	-	-	PUNCT
ijassa-1006	140	36	rmo	rmo	PROPN
ijassa-1006	140	37	algorithm	algorithm	NOUN
ijassa-1006	141	1	[	[	X
ijassa-1006	141	2	43	43	NUM
ijassa-1006	141	3	]	]	PUNCT
ijassa-1006	141	4	(	(	PUNCT
ijassa-1006	141	5	see	see	VERB
ijassa-1006	141	6	algorithm	algorithm	NOUN
ijassa-1006	141	7	2	2	NUM
ijassa-1006	141	8	)	)	PUNCT
ijassa-1006	141	9	.	.	PUNCT
ijassa-1006	142	1	in	in	ADP
ijassa-1006	142	2	mode	mode	PROPN
ijassa-1006	142	3	-	-	PUNCT
ijassa-1006	142	4	obl	obl	PROPN
ijassa-1006	142	5	,	,	PUNCT
ijassa-1006	142	6	the	the	DET
ijassa-1006	142	7	candidate	candidate	NOUN
ijassa-1006	142	8	potential	potential	ADJ
ijassa-1006	142	9	solutions	solution	NOUN
ijassa-1006	142	10	are	be	AUX
ijassa-1006	142	11	processed	process	VERB
ijassa-1006	142	12	at	at	ADP
ijassa-1006	142	13	initialization	initialization	NOUN
ijassa-1006	142	14	and	and	CCONJ
ijassa-1006	142	15	the	the	DET
ijassa-1006	142	16	exploration	exploration	NOUN
ijassa-1006	142	17	/	/	SYM
ijassa-1006	142	18	exploitation	exploitation	NOUN
ijassa-1006	142	19	capacities	capacity	NOUN
ijassa-1006	142	20	during	during	ADP
ijassa-1006	142	21	the	the	DET
ijassa-1006	142	22	various	various	ADJ
ijassa-1006	142	23	optimization	optimization	NOUN
ijassa-1006	142	24	processes	process	NOUN
ijassa-1006	142	25	are	be	AUX
ijassa-1006	142	26	mainly	mainly	ADV
ijassa-1006	142	27	concerned	concern	VERB
ijassa-1006	142	28	.	.	PUNCT
ijassa-1006	143	1	obl	obl	PROPN
ijassa-1006	143	2	can	can	AUX
ijassa-1006	143	3	be	be	AUX
ijassa-1006	143	4	used	use	VERB
ijassa-1006	143	5	in	in	ADP
ijassa-1006	143	6	two	two	NUM
ijassa-1006	143	7	steps	step	NOUN
ijassa-1006	143	8	of	of	ADP
ijassa-1006	143	9	mode	mode	NOUN
ijassa-1006	143	10	-	-	PUNCT
ijassa-1006	143	11	obl	obl	PROPN
ijassa-1006	143	12	.	.	PUNCT
ijassa-1006	144	1	first	first	ADV
ijassa-1006	144	2	,	,	PUNCT
ijassa-1006	144	3	at	at	ADP
ijassa-1006	144	4	the	the	DET
ijassa-1006	144	5	initialization	initialization	NOUN
ijassa-1006	144	6	stage	stage	NOUN
ijassa-1006	144	7	in	in	ADP
ijassa-1006	144	8	order	order	NOUN
ijassa-1006	144	9	to	to	PART
ijassa-1006	144	10	arrive	arrive	VERB
ijassa-1006	144	11	at	at	ADP
ijassa-1006	144	12	candidate	candidate	NOUN
ijassa-1006	144	13	solutions	solution	NOUN
ijassa-1006	144	14	for	for	ADP
ijassa-1006	144	15	the	the	DET
ijassa-1006	144	16	most	most	ADV
ijassa-1006	144	17	appropriate	appropriate	ADJ
ijassa-1006	144	18	fit	fit	ADJ
ijassa-1006	144	19	under	under	ADP
ijassa-1006	144	20	conditions	condition	NOUN
ijassa-1006	144	21	where	where	SCONJ
ijassa-1006	144	22	there	there	PRON
ijassa-1006	144	23	is	be	VERB
ijassa-1006	144	24	no	no	DET
ijassa-1006	144	25	a	a	DET
ijassa-1006	144	26	priori	priori	ADJ
ijassa-1006	144	27	knowledge	knowledge	NOUN
ijassa-1006	144	28	about	about	ADP
ijassa-1006	144	29	the	the	DET
ijassa-1006	144	30	initial	initial	ADJ
ijassa-1006	144	31	individuals	individual	NOUN
ijassa-1006	144	32	;	;	PUNCT
ijassa-1006	144	33	second	second	ADV
ijassa-1006	144	34	,	,	PUNCT
ijassa-1006	144	35	during	during	ADP
ijassa-1006	144	36	the	the	DET
ijassa-1006	144	37	implementation	implementation	NOUN
ijassa-1006	144	38	of	of	ADP
ijassa-1006	144	39	mode	mode	NOUN
ijassa-1006	144	40	-	-	PUNCT
ijassa-1006	144	41	obl	obl	PROPN
ijassa-1006	144	42	in	in	ADP
ijassa-1006	144	43	order	order	NOUN
ijassa-1006	144	44	to	to	PART
ijassa-1006	144	45	force	force	VERB
ijassa-1006	144	46	the	the	DET
ijassa-1006	144	47	current	current	ADJ
ijassa-1006	144	48	population	population	NOUN
ijassa-1006	144	49	to	to	PART
ijassa-1006	144	50	embark	embark	VERB
ijassa-1006	144	51	on	on	ADP
ijassa-1006	144	52	new	new	ADJ
ijassa-1006	144	53	candidate	candidate	NOUN
ijassa-1006	144	54	solutions	solution	NOUN
ijassa-1006	144	55	more	more	ADV
ijassa-1006	144	56	suitable	suitable	ADJ
ijassa-1006	144	57	than	than	ADP
ijassa-1006	144	58	current	current	ADJ
ijassa-1006	144	59	ones	one	NOUN
ijassa-1006	144	60	.	.	PUNCT
ijassa-1006	145	1	these	these	DET
ijassa-1006	145	2	two	two	NUM
ijassa-1006	145	3	steps	step	NOUN
ijassa-1006	145	4	are	be	AUX
ijassa-1006	145	5	called	call	VERB
ijassa-1006	145	6	,	,	PUNCT
ijassa-1006	145	7	respectively	respectively	ADV
ijassa-1006	145	8	,	,	PUNCT
ijassa-1006	145	9	opposition	opposition	NOUN
ijassa-1006	145	10	-	-	PUNCT
ijassa-1006	145	11	based	base	VERB
ijassa-1006	145	12	population	population	NOUN
ijassa-1006	145	13	initialization	initialization	NOUN
ijassa-1006	145	14	and	and	CCONJ
ijassa-1006	145	15	opposition	opposition	NOUN
ijassa-1006	145	16	-	-	PUNCT
ijassa-1006	145	17	based	base	VERB
ijassa-1006	145	18	generation	generation	NOUN
ijassa-1006	145	19	leap	leap	NOUN
ijassa-1006	145	20	.	.	PUNCT
ijassa-1006	146	1	in	in	ADP
ijassa-1006	146	2	this	this	DET
ijassa-1006	146	3	way	way	NOUN
ijassa-1006	146	4	,	,	PUNCT
ijassa-1006	146	5	the	the	DET
ijassa-1006	146	6	proposed	propose	VERB
ijassa-1006	146	7	algorithm	algorithm	NOUN
ijassa-1006	146	8	can	can	AUX
ijassa-1006	146	9	converge	converge	VERB
ijassa-1006	146	10	faster	fast	ADV
ijassa-1006	146	11	while	while	SCONJ
ijassa-1006	146	12	maintaining	maintain	VERB
ijassa-1006	146	13	good	good	ADJ
ijassa-1006	146	14	diversity	diversity	NOUN
ijassa-1006	146	15	.	.	PUNCT
ijassa-1006	147	1	figure	figure	VERB
ijassa-1006	147	2	4.2	4.2	NUM
ijassa-1006	147	3	shows	show	VERB
ijassa-1006	147	4	the	the	DET
ijassa-1006	147	5	overall	overall	ADJ
ijassa-1006	147	6	operational	operational	ADJ
ijassa-1006	147	7	architecture	architecture	NOUN
ijassa-1006	147	8	of	of	ADP
ijassa-1006	147	9	the	the	DET
ijassa-1006	147	10	proposed	propose	VERB
ijassa-1006	147	11	algorithm	algorithm	NOUN
ijassa-1006	147	12	.	.	PUNCT
ijassa-1006	148	1	the	the	DET
ijassa-1006	148	2	majority	majority	NOUN
ijassa-1006	148	3	of	of	ADP
ijassa-1006	148	4	works	work	NOUN
ijassa-1006	148	5	have	have	AUX
ijassa-1006	148	6	used	use	VERB
ijassa-1006	148	7	obl	obl	PROPN
ijassa-1006	148	8	in	in	ADP
ijassa-1006	148	9	the	the	DET
ijassa-1006	148	10	context	context	NOUN
ijassa-1006	148	11	of	of	ADP
ijassa-1006	148	12	mono	mono	NOUN
ijassa-1006	148	13	-	-	PUNCT
ijassa-1006	148	14	objective	objective	ADJ
ijassa-1006	148	15	optimization	optimization	NOUN
ijassa-1006	148	16	and	and	CCONJ
ijassa-1006	148	17	recently	recently	ADV
ijassa-1006	148	18	very	very	ADV
ijassa-1006	148	19	few	few	ADJ
ijassa-1006	148	20	attempts	attempt	NOUN
ijassa-1006	148	21	are	be	AUX
ijassa-1006	148	22	invested	invest	VERB
ijassa-1006	148	23	to	to	PART
ijassa-1006	148	24	hybridize	hybridize	VERB
ijassa-1006	148	25	obl	obl	PROPN
ijassa-1006	148	26	with	with	ADP
ijassa-1006	148	27	multi	multi	ADJ
ijassa-1006	148	28	-	-	ADJ
ijassa-1006	148	29	objective	objective	ADJ
ijassa-1006	148	30	evolutionary	evolutionary	ADJ
ijassa-1006	148	31	algorithms	algorithm	NOUN
ijassa-1006	148	32	[	[	X
ijassa-1006	148	33	44	44	NUM
ijassa-1006	148	34	]	]	PUNCT
ijassa-1006	149	1	[	[	X
ijassa-1006	149	2	45	45	NUM
ijassa-1006	149	3	]	]	PUNCT
ijassa-1006	149	4	.	.	PUNCT
ijassa-1006	150	1	hence	hence	ADV
ijassa-1006	150	2	our	our	PRON
ijassa-1006	150	3	approach	approach	NOUN
ijassa-1006	150	4	is	be	AUX
ijassa-1006	150	5	inspired	inspire	VERB
ijassa-1006	150	6	to	to	PART
ijassa-1006	150	7	incorporate	incorporate	VERB
ijassa-1006	150	8	a	a	DET
ijassa-1006	150	9	two	two	NUM
ijassa-1006	150	10	-	-	PUNCT
ijassa-1006	150	11	phase	phase	NOUN
ijassa-1006	150	12	(	(	PUNCT
ijassa-1006	150	13	serial	serial	NOUN
ijassa-1006	150	14	)	)	PUNCT
ijassa-1006	150	15	learning	learn	VERB
ijassa-1006	150	16	technique	technique	NOUN
ijassa-1006	150	17	into	into	ADP
ijassa-1006	150	18	multiobjective	multiobjective	ADJ
ijassa-1006	150	19	differential	differential	NOUN
ijassa-1006	150	20	evolution	evolution	NOUN
ijassa-1006	150	21	based	base	VERB
ijassa-1006	150	22	ranking	rank	VERB
ijassa-1006	150	23	mutation	mutation	NOUN
ijassa-1006	150	24	.	.	PUNCT
ijassa-1006	151	1	4.1	4.1	NUM
ijassa-1006	151	2	.	.	PUNCT
ijassa-1006	152	1	multi	multi	ADJ
ijassa-1006	152	2	-	-	ADJ
ijassa-1006	152	3	objective	objective	ADJ
ijassa-1006	152	4	differential	differential	ADJ
ijassa-1006	152	5	evolution	evolution	NOUN
ijassa-1006	152	6	with	with	ADP
ijassa-1006	152	7	ranking	ranking	NOUN
ijassa-1006	152	8	-	-	PUNCT
ijassa-1006	152	9	based	base	VERB
ijassa-1006	152	10	mutation	mutation	NOUN
ijassa-1006	152	11	operator	operator	NOUN
ijassa-1006	152	12	in	in	ADP
ijassa-1006	152	13	this	this	DET
ijassa-1006	152	14	section	section	NOUN
ijassa-1006	152	15	,	,	PUNCT
ijassa-1006	152	16	the	the	DET
ijassa-1006	152	17	proposed	propose	VERB
ijassa-1006	152	18	mode	mode	NOUN
ijassa-1006	152	19	-	-	PUNCT
ijassa-1006	152	20	rmo	rmo	PROPN
ijassa-1006	152	21	algorithm	algorithm	PROPN
ijassa-1006	152	22	is	be	AUX
ijassa-1006	152	23	presented	present	VERB
ijassa-1006	152	24	in	in	ADP
ijassa-1006	152	25	detail	detail	NOUN
ijassa-1006	152	26	.	.	PUNCT
ijassa-1006	153	1	in	in	ADP
ijassa-1006	153	2	mode	mode	PROPN
ijassa-1006	153	3	-	-	PUNCT
ijassa-1006	153	4	rmo	rmo	PROPN
ijassa-1006	153	5	,	,	PUNCT
ijassa-1006	153	6	the	the	DET
ijassa-1006	153	7	ranking	ranking	NOUN
ijassa-1006	153	8	-	-	PUNCT
ijassa-1006	153	9	based	base	VERB
ijassa-1006	153	10	mutation	mutation	NOUN
ijassa-1006	153	11	operator	operator	NOUN
ijassa-1006	153	12	is	be	AUX
ijassa-1006	153	13	introduced	introduce	VERB
ijassa-1006	153	14	in	in	ADP
ijassa-1006	153	15	mode	mode	NOUN
ijassa-1006	153	16	to	to	PART
ijassa-1006	153	17	improve	improve	VERB
ijassa-1006	153	18	its	its	PRON
ijassa-1006	153	19	performance	performance	NOUN
ijassa-1006	153	20	by	by	ADP
ijassa-1006	153	21	accelerating	accelerate	VERB
ijassa-1006	153	22	the	the	DET
ijassa-1006	153	23	speed	speed	NOUN
ijassa-1006	153	24	of	of	ADP
ijassa-1006	153	25	convergence	convergence	NOUN
ijassa-1006	153	26	.	.	PUNCT
ijassa-1006	154	1	therefore	therefore	ADV
ijassa-1006	154	2	,	,	PUNCT
ijassa-1006	154	3	in	in	ADP
ijassa-1006	154	4	the	the	DET
ijassa-1006	154	5	next	next	ADJ
ijassa-1006	154	6	part	part	NOUN
ijassa-1006	154	7	,	,	PUNCT
ijassa-1006	154	8	we	we	PRON
ijassa-1006	154	9	will	will	AUX
ijassa-1006	154	10	first	first	ADV
ijassa-1006	154	11	describe	describe	VERB
ijassa-1006	154	12	the	the	DET
ijassa-1006	154	13	a	a	DET
ijassa-1006	154	14	novel	novel	ADJ
ijassa-1006	154	15	two	two	NUM
ijassa-1006	154	16	-	-	PUNCT
ijassa-1006	154	17	stage	stage	NOUN
ijassa-1006	154	18	hybrid	hybrid	ADJ
ijassa-1006	154	19	multi	multi	ADJ
ijassa-1006	154	20	-	-	ADJ
ijassa-1006	154	21	objective	objective	ADJ
ijassa-1006	154	22	differential	differential	ADJ
ijassa-1006	154	23	evolution	evolution	NOUN
ijassa-1006	154	24	…	…	PUNCT
ijassa-1006	154	25	161	161	NUM
ijassa-1006	154	26	copyright	copyright	NOUN
ijassa-1006	154	27	©	©	PROPN
ijassa-1006	154	28	2023	2023	NUM
ijassa-1006	154	29	assa	assa	NOUN
ijassa-1006	154	30	.	.	PUNCT
ijassa-1006	155	1	adv	adv	PROPN
ijassa-1006	155	2	.	.	PUNCT
ijassa-1006	156	1	in	in	ADP
ijassa-1006	156	2	systems	system	NOUN
ijassa-1006	156	3	science	science	NOUN
ijassa-1006	156	4	and	and	CCONJ
ijassa-1006	156	5	appl	appl	NOUN
ijassa-1006	156	6	.	.	PUNCT
ijassa-1006	157	1	(	(	PUNCT
ijassa-1006	157	2	2023	2023	NUM
ijassa-1006	157	3	)	)	PUNCT
ijassa-1006	157	4	ranking	ranking	NOUN
ijassa-1006	157	5	-	-	PUNCT
ijassa-1006	157	6	based	base	VERB
ijassa-1006	157	7	mutation	mutation	NOUN
ijassa-1006	157	8	operator	operator	NOUN
ijassa-1006	157	9	for	for	ADP
ijassa-1006	157	10	multi	multi	ADJ
ijassa-1006	157	11	-	-	ADJ
ijassa-1006	157	12	objective	objective	ADJ
ijassa-1006	157	13	optimization	optimization	NOUN
ijassa-1006	157	14	;	;	PUNCT
ijassa-1006	157	15	then	then	ADV
ijassa-1006	157	16	mode	mode	PROPN
ijassa-1006	157	17	-	-	PUNCT
ijassa-1006	157	18	rmo	rmo	PROPN
ijassa-1006	157	19	is	be	AUX
ijassa-1006	157	20	minutely	minutely	ADV
ijassa-1006	157	21	elucidated	elucidate	VERB
ijassa-1006	157	22	.	.	PUNCT
ijassa-1006	158	1	in	in	ADP
ijassa-1006	158	2	nature	nature	NOUN
ijassa-1006	158	3	,	,	PUNCT
ijassa-1006	158	4	good	good	ADJ
ijassa-1006	158	5	people	people	NOUN
ijassa-1006	158	6	always	always	ADV
ijassa-1006	158	7	hold	hold	VERB
ijassa-1006	158	8	good	good	ADJ
ijassa-1006	158	9	information	information	NOUN
ijassa-1006	158	10	,	,	PUNCT
ijassa-1006	158	11	and	and	CCONJ
ijassa-1006	158	12	they	they	PRON
ijassa-1006	158	13	are	be	AUX
ijassa-1006	158	14	more	more	ADV
ijassa-1006	158	15	likely	likely	ADJ
ijassa-1006	158	16	to	to	PART
ijassa-1006	158	17	be	be	AUX
ijassa-1006	158	18	used	use	VERB
ijassa-1006	158	19	to	to	PART
ijassa-1006	158	20	guide	guide	VERB
ijassa-1006	158	21	other	other	ADJ
ijassa-1006	158	22	people	people	NOUN
ijassa-1006	158	23	.	.	PUNCT
ijassa-1006	159	1	based	base	VERB
ijassa-1006	159	2	on	on	ADP
ijassa-1006	159	3	these	these	DET
ijassa-1006	159	4	considerations	consideration	NOUN
ijassa-1006	159	5	,	,	PUNCT
ijassa-1006	159	6	[	[	X
ijassa-1006	159	7	46	46	NUM
ijassa-1006	159	8	]	]	PUNCT
ijassa-1006	159	9	proposed	propose	VERB
ijassa-1006	159	10	a	a	DET
ijassa-1006	159	11	ranking	ranking	NOUN
ijassa-1006	159	12	-	-	PUNCT
ijassa-1006	159	13	based	base	VERB
ijassa-1006	159	14	mutation	mutation	NOUN
ijassa-1006	159	15	operator	operator	NOUN
ijassa-1006	159	16	for	for	ADP
ijassa-1006	159	17	de	de	X
ijassa-1006	159	18	in	in	ADP
ijassa-1006	159	19	single	single	ADJ
ijassa-1006	159	20	-	-	PUNCT
ijassa-1006	159	21	objective	objective	ADJ
ijassa-1006	159	22	optimization	optimization	NOUN
ijassa-1006	159	23	,	,	PUNCT
ijassa-1006	159	24	in	in	ADP
ijassa-1006	159	25	which	which	PRON
ijassa-1006	159	26	parents	parent	NOUN
ijassa-1006	159	27	are	be	AUX
ijassa-1006	159	28	selected	select	VERB
ijassa-1006	159	29	proportionally	proportionally	ADV
ijassa-1006	159	30	based	base	VERB
ijassa-1006	159	31	on	on	ADP
ijassa-1006	159	32	their	their	PRON
ijassa-1006	159	33	ranking	ranking	NOUN
ijassa-1006	159	34	in	in	ADP
ijassa-1006	159	35	the	the	DET
ijassa-1006	159	36	current	current	ADJ
ijassa-1006	159	37	population	population	NOUN
ijassa-1006	159	38	.	.	PUNCT
ijassa-1006	160	1	the	the	PRON
ijassa-1006	160	2	higher	high	ADJ
ijassa-1006	160	3	a	a	DET
ijassa-1006	160	4	parent	parent	NOUN
ijassa-1006	160	5	ranks	rank	VERB
ijassa-1006	160	6	,	,	PUNCT
ijassa-1006	160	7	the	the	PRON
ijassa-1006	160	8	more	more	ADJ
ijassa-1006	160	9	they	they	PRON
ijassa-1006	160	10	will	will	AUX
ijassa-1006	160	11	be	be	AUX
ijassa-1006	160	12	selected	select	VERB
ijassa-1006	160	13	.	.	PUNCT
ijassa-1006	161	1	the	the	DET
ijassa-1006	161	2	authors	author	NOUN
ijassa-1006	161	3	incorporated	incorporate	VERB
ijassa-1006	161	4	the	the	DET
ijassa-1006	161	5	proposed	propose	VERB
ijassa-1006	161	6	rank	rank	NOUN
ijassa-1006	161	7	-	-	PUNCT
ijassa-1006	161	8	based	base	VERB
ijassa-1006	161	9	mutation	mutation	NOUN
ijassa-1006	161	10	operator	operator	NOUN
ijassa-1006	161	11	in	in	ADP
ijassa-1006	161	12	some	some	DET
ijassa-1006	161	13	de	de	X
ijassa-1006	161	14	algorithms	algorithm	NOUN
ijassa-1006	161	15	,	,	PUNCT
ijassa-1006	161	16	and	and	CCONJ
ijassa-1006	161	17	experimental	experimental	ADJ
ijassa-1006	161	18	results	result	NOUN
ijassa-1006	161	19	indicated	indicate	VERB
ijassa-1006	161	20	that	that	SCONJ
ijassa-1006	161	21	the	the	DET
ijassa-1006	161	22	rank	rank	NOUN
ijassa-1006	161	23	-	-	PUNCT
ijassa-1006	161	24	based	base	VERB
ijassa-1006	161	25	mutation	mutation	NOUN
ijassa-1006	161	26	operator	operator	NOUN
ijassa-1006	161	27	is	be	AUX
ijassa-1006	161	28	able	able	ADJ
ijassa-1006	161	29	to	to	PART
ijassa-1006	161	30	improve	improve	VERB
ijassa-1006	161	31	the	the	DET
ijassa-1006	161	32	performance	performance	NOUN
ijassa-1006	161	33	of	of	ADP
ijassa-1006	161	34	de	de	X
ijassa-1006	161	35	algorithms	algorithm	NOUN
ijassa-1006	161	36	in	in	ADP
ijassa-1006	161	37	the	the	DET
ijassa-1006	161	38	optimization	optimization	NOUN
ijassa-1006	161	39	of	of	ADP
ijassa-1006	161	40	one	one	NUM
ijassa-1006	161	41	goal	goal	NOUN
ijassa-1006	161	42	.	.	PUNCT
ijassa-1006	162	1	the	the	DET
ijassa-1006	162	2	ranking	ranking	NOUN
ijassa-1006	162	3	-	-	PUNCT
ijassa-1006	162	4	based	base	VERB
ijassa-1006	162	5	mutation	mutation	NOUN
ijassa-1006	162	6	operator	operator	NOUN
ijassa-1006	162	7	was	be	AUX
ijassa-1006	162	8	introduced	introduce	VERB
ijassa-1006	162	9	in	in	ADP
ijassa-1006	162	10	mode	mode	NOUN
ijassa-1006	162	11	for	for	ADP
ijassa-1006	162	12	mop	mop	PROPN
ijassa-1006	162	13	.	.	PUNCT
ijassa-1006	163	1	however	however	ADV
ijassa-1006	163	2	,	,	PUNCT
ijassa-1006	163	3	the	the	DET
ijassa-1006	163	4	challenge	challenge	NOUN
ijassa-1006	163	5	of	of	ADP
ijassa-1006	163	6	this	this	DET
ijassa-1006	163	7	extension	extension	NOUN
ijassa-1006	163	8	is	be	AUX
ijassa-1006	163	9	that	that	SCONJ
ijassa-1006	163	10	the	the	DET
ijassa-1006	163	11	population	population	NOUN
ijassa-1006	163	12	can	can	AUX
ijassa-1006	163	13	be	be	AUX
ijassa-1006	163	14	directly	directly	ADV
ijassa-1006	163	15	sorted	sort	VERB
ijassa-1006	163	16	from	from	ADP
ijassa-1006	163	17	best	good	ADJ
ijassa-1006	163	18	to	to	PART
ijassa-1006	163	19	worst	bad	ADJ
ijassa-1006	163	20	in	in	ADP
ijassa-1006	163	21	single	single	ADJ
ijassa-1006	163	22	objective	objective	ADJ
ijassa-1006	163	23	optimization	optimization	NOUN
ijassa-1006	163	24	,	,	PUNCT
ijassa-1006	163	25	while	while	SCONJ
ijassa-1006	163	26	there	there	PRON
ijassa-1006	163	27	are	be	VERB
ijassa-1006	163	28	many	many	ADJ
ijassa-1006	163	29	solutions	solution	NOUN
ijassa-1006	163	30	that	that	PRON
ijassa-1006	163	31	are	be	AUX
ijassa-1006	163	32	not	not	PART
ijassa-1006	163	33	dominated	dominate	VERB
ijassa-1006	163	34	among	among	ADP
ijassa-1006	163	35	themselves	themselves	PRON
ijassa-1006	163	36	in	in	ADP
ijassa-1006	163	37	multi	multi	ADJ
ijassa-1006	163	38	-	-	ADJ
ijassa-1006	163	39	objective	objective	ADJ
ijassa-1006	163	40	optimization	optimization	NOUN
ijassa-1006	163	41	.	.	PUNCT
ijassa-1006	164	1	whereas	whereas	SCONJ
ijassa-1006	164	2	the	the	DET
ijassa-1006	164	3	mode	mode	NOUN
ijassa-1006	164	4	algorithm	algorithm	NOUN
ijassa-1006	164	5	should	should	AUX
ijassa-1006	164	6	generate	generate	VERB
ijassa-1006	164	7	approximate	approximate	ADJ
ijassa-1006	164	8	pareto	pareto	ADJ
ijassa-1006	164	9	solutions	solution	NOUN
ijassa-1006	164	10	with	with	ADP
ijassa-1006	164	11	both	both	CCONJ
ijassa-1006	164	12	good	good	ADJ
ijassa-1006	164	13	convergence	convergence	NOUN
ijassa-1006	164	14	and	and	CCONJ
ijassa-1006	164	15	good	good	ADJ
ijassa-1006	164	16	propagation	propagation	NOUN
ijassa-1006	164	17	,	,	PUNCT
ijassa-1006	164	18	therefore	therefore	ADV
ijassa-1006	164	19	,	,	PUNCT
ijassa-1006	164	20	non	non	ADJ
ijassa-1006	164	21	-	-	ADJ
ijassa-1006	164	22	dominated	dominated	ADJ
ijassa-1006	164	23	fast	fast	ADJ
ijassa-1006	164	24	sort	sort	NOUN
ijassa-1006	164	25	and	and	CCONJ
ijassa-1006	164	26	saturation	saturation	NOUN
ijassa-1006	164	27	distance	distance	NOUN
ijassa-1006	164	28	are	be	AUX
ijassa-1006	164	29	incorporated	incorporate	VERB
ijassa-1006	164	30	into	into	ADP
ijassa-1006	164	31	the	the	DET
ijassa-1006	164	32	rank	rank	NOUN
ijassa-1006	164	33	-	-	PUNCT
ijassa-1006	164	34	based	base	VERB
ijassa-1006	164	35	mutation	mutation	NOUN
ijassa-1006	164	36	operator	operator	NOUN
ijassa-1006	164	37	to	to	PART
ijassa-1006	164	38	treat	treat	VERB
ijassa-1006	164	39	mops	mop	NOUN
ijassa-1006	164	40	.	.	PUNCT
ijassa-1006	165	1	4.1.1	4.1.1	X
ijassa-1006	165	2	.	.	PUNCT
ijassa-1006	165	3	fast	fast	ADJ
ijassa-1006	165	4	sorting	sorting	NOUN
ijassa-1006	165	5	not	not	PART
ijassa-1006	165	6	dominated	dominate	VERB
ijassa-1006	165	7	and	and	CCONJ
ijassa-1006	165	8	crowding	crowd	VERB
ijassa-1006	165	9	distance	distance	NOUN
ijassa-1006	165	10	the	the	DET
ijassa-1006	165	11	unexpressed	unexpresse	VERB
ijassa-1006	165	12	rapid	rapid	ADJ
ijassa-1006	165	13	sorting	sorting	NOUN
ijassa-1006	165	14	and	and	CCONJ
ijassa-1006	165	15	crowding	crowd	VERB
ijassa-1006	165	16	distance	distance	NOUN
ijassa-1006	165	17	is	be	AUX
ijassa-1006	165	18	proposed	propose	VERB
ijassa-1006	165	19	by	by	ADP
ijassa-1006	165	20	[	[	X
ijassa-1006	165	21	47	47	NUM
ijassa-1006	165	22	]	]	PUNCT
ijassa-1006	165	23	in	in	ADP
ijassa-1006	165	24	the	the	DET
ijassa-1006	165	25	nsga	nsga	NOUN
ijassa-1006	165	26	-	-	PUNCT
ijassa-1006	165	27	ii	ii	NOUN
ijassa-1006	165	28	algorithm	algorithm	NOUN
ijassa-1006	165	29	.	.	PUNCT
ijassa-1006	166	1	in	in	ADP
ijassa-1006	166	2	the	the	DET
ijassa-1006	166	3	quick	quick	ADJ
ijassa-1006	166	4	sort	sort	NOUN
ijassa-1006	166	5	procedure	procedure	NOUN
ijassa-1006	166	6	without	without	ADP
ijassa-1006	166	7	markup	markup	PROPN
ijassa-1006	166	8	,	,	PUNCT
ijassa-1006	166	9	for	for	ADP
ijassa-1006	166	10	each	each	DET
ijassa-1006	166	11	solution	solution	NOUN
ijassa-1006	166	12	,	,	PUNCT
ijassa-1006	166	13	two	two	NUM
ijassa-1006	166	14	entities	entity	NOUN
ijassa-1006	166	15	are	be	AUX
ijassa-1006	166	16	calculated	calculate	VERB
ijassa-1006	166	17	:	:	PUNCT
ijassa-1006	166	18	1	1	X
ijassa-1006	166	19	)	)	PUNCT
ijassa-1006	166	20	𝑛	𝑛	NOUN
ijassa-1006	166	21	:	:	PUNCT
ijassa-1006	166	22	the	the	DET
ijassa-1006	166	23	dominance	dominance	NOUN
ijassa-1006	166	24	account	account	NOUN
ijassa-1006	166	25	,	,	PUNCT
ijassa-1006	166	26	i.e.	i.e.	X
ijassa-1006	166	27	the	the	DET
ijassa-1006	166	28	number	number	NOUN
ijassa-1006	166	29	of	of	ADP
ijassa-1006	166	30	solutions	solution	NOUN
ijassa-1006	166	31	which	which	PRON
ijassa-1006	166	32	dominate	dominate	VERB
ijassa-1006	166	33	the	the	DET
ijassa-1006	166	34	solution	solution	NOUN
ijassa-1006	166	35	𝑝	𝑝	NOUN
ijassa-1006	166	36	;	;	PUNCT
ijassa-1006	166	37	2	2	X
ijassa-1006	166	38	)	)	PUNCT
ijassa-1006	166	39	𝑆	𝑆	PROPN
ijassa-1006	166	40	:	:	PUNCT
ijassa-1006	166	41	a	a	DET
ijassa-1006	166	42	set	set	NOUN
ijassa-1006	166	43	of	of	ADP
ijassa-1006	166	44	solutions	solution	NOUN
ijassa-1006	166	45	that	that	SCONJ
ijassa-1006	166	46	the	the	DET
ijassa-1006	166	47	solution	solution	NOUN
ijassa-1006	166	48	dominates	dominate	VERB
ijassa-1006	166	49	.	.	PUNCT
ijassa-1006	167	1	all	all	DET
ijassa-1006	167	2	solutions	solution	NOUN
ijassa-1006	167	3	of	of	ADP
ijassa-1006	167	4	the	the	DET
ijassa-1006	167	5	first	first	ADJ
ijassa-1006	167	6	non	non	ADJ
ijassa-1006	167	7	-	-	ADJ
ijassa-1006	167	8	dominated	dominated	ADJ
ijassa-1006	167	9	front	front	NOUN
ijassa-1006	167	10	will	will	AUX
ijassa-1006	167	11	have	have	VERB
ijassa-1006	167	12	their	their	PRON
ijassa-1006	167	13	dominance	dominance	NOUN
ijassa-1006	167	14	count	count	NOUN
ijassa-1006	167	15	at	at	ADP
ijassa-1006	167	16	zero	zero	NUM
ijassa-1006	167	17	.	.	PUNCT
ijassa-1006	168	1	now	now	ADV
ijassa-1006	168	2	,	,	PUNCT
ijassa-1006	168	3	for	for	ADP
ijassa-1006	168	4	each	each	DET
ijassa-1006	168	5	solution	solution	NOUN
ijassa-1006	168	6	𝑝	𝑝	NOUN
ijassa-1006	168	7	with	with	ADP
ijassa-1006	168	8	𝑛	𝑛	PROPN
ijassa-1006	168	9	=	=	SYM
ijassa-1006	168	10	0	0	NUM
ijassa-1006	168	11	,	,	PUNCT
ijassa-1006	168	12	we	we	PRON
ijassa-1006	168	13	visit	visit	VERB
ijassa-1006	168	14	each	each	DET
ijassa-1006	168	15	member	member	NOUN
ijassa-1006	168	16	(	(	PUNCT
ijassa-1006	168	17	𝑞	𝑞	NOUN
ijassa-1006	168	18	)	)	PUNCT
ijassa-1006	168	19	of	of	ADP
ijassa-1006	168	20	its	its	PRON
ijassa-1006	168	21	set	set	NOUN
ijassa-1006	168	22	𝑆	𝑆	PROPN
ijassa-1006	168	23	and	and	CCONJ
ijassa-1006	168	24	reduce	reduce	VERB
ijassa-1006	168	25	its	its	PRON
ijassa-1006	168	26	domination	domination	NOUN
ijassa-1006	168	27	count	count	NOUN
ijassa-1006	168	28	by	by	ADP
ijassa-1006	168	29	1	1	NUM
ijassa-1006	168	30	.	.	PUNCT
ijassa-1006	169	1	if	if	SCONJ
ijassa-1006	169	2	for	for	ADP
ijassa-1006	169	3	a	a	DET
ijassa-1006	169	4	member	member	NOUN
ijassa-1006	169	5	the	the	DET
ijassa-1006	169	6	domination	domination	NOUN
ijassa-1006	169	7	count	count	NOUN
ijassa-1006	169	8	becomes	become	VERB
ijassa-1006	169	9	zero	zero	NUM
ijassa-1006	169	10	,	,	PUNCT
ijassa-1006	169	11	we	we	PRON
ijassa-1006	169	12	put	put	VERB
ijassa-1006	169	13	it	it	PRON
ijassa-1006	169	14	in	in	ADP
ijassa-1006	169	15	a	a	DET
ijassa-1006	169	16	separate	separate	ADJ
ijassa-1006	169	17	list	list	NOUN
ijassa-1006	169	18	𝑄	𝑄	PROPN
ijassa-1006	169	19	,	,	PUNCT
ijassa-1006	169	20	these	these	DET
ijassa-1006	169	21	members	member	NOUN
ijassa-1006	169	22	belong	belong	VERB
ijassa-1006	169	23	to	to	ADP
ijassa-1006	169	24	the	the	DET
ijassa-1006	169	25	second	second	ADJ
ijassa-1006	169	26	non	non	ADJ
ijassa-1006	169	27	-	-	ADJ
ijassa-1006	169	28	dominated	dominated	ADJ
ijassa-1006	169	29	front	front	NOUN
ijassa-1006	169	30	.	.	PUNCT
ijassa-1006	170	1	now	now	ADV
ijassa-1006	170	2	the	the	DET
ijassa-1006	170	3	above	above	ADJ
ijassa-1006	170	4	procedure	procedure	NOUN
ijassa-1006	170	5	continues	continue	VERB
ijassa-1006	170	6	with	with	ADP
ijassa-1006	170	7	each	each	DET
ijassa-1006	170	8	limb	limb	NOUN
ijassa-1006	170	9	and	and	CCONJ
ijassa-1006	170	10	the	the	DET
ijassa-1006	170	11	third	third	ADJ
ijassa-1006	170	12	front	front	NOUN
ijassa-1006	170	13	is	be	AUX
ijassa-1006	170	14	identified	identify	VERB
ijassa-1006	170	15	.	.	PUNCT
ijassa-1006	171	1	this	this	DET
ijassa-1006	171	2	process	process	NOUN
ijassa-1006	171	3	continues	continue	VERB
ijassa-1006	171	4	until	until	SCONJ
ijassa-1006	171	5	all	all	DET
ijassa-1006	171	6	fronts	front	NOUN
ijassa-1006	171	7	are	be	AUX
ijassa-1006	171	8	identified	identify	VERB
ijassa-1006	171	9	.	.	PUNCT
ijassa-1006	172	1	the	the	DET
ijassa-1006	172	2	crowding	crowd	VERB
ijassa-1006	172	3	distance	distance	NOUN
ijassa-1006	172	4	is	be	AUX
ijassa-1006	172	5	used	use	VERB
ijassa-1006	172	6	to	to	PART
ijassa-1006	172	7	get	get	VERB
ijassa-1006	172	8	an	an	DET
ijassa-1006	172	9	estimate	estimate	NOUN
ijassa-1006	172	10	of	of	ADP
ijassa-1006	172	11	the	the	DET
ijassa-1006	172	12	density	density	NOUN
ijassa-1006	172	13	of	of	ADP
ijassa-1006	172	14	solutions	solution	NOUN
ijassa-1006	172	15	surrounding	surround	VERB
ijassa-1006	172	16	a	a	DET
ijassa-1006	172	17	particular	particular	ADJ
ijassa-1006	172	18	individual	individual	NOUN
ijassa-1006	172	19	𝑖	𝑖	NOUN
ijassa-1006	172	20	in	in	ADP
ijassa-1006	172	21	the	the	DET
ijassa-1006	172	22	population	population	NOUN
ijassa-1006	172	23	;	;	PUNCT
ijassa-1006	172	24	it	it	PRON
ijassa-1006	172	25	calculates	calculate	VERB
ijassa-1006	172	26	the	the	DET
ijassa-1006	172	27	average	average	ADJ
ijassa-1006	172	28	distance	distance	NOUN
ijassa-1006	172	29	of	of	ADP
ijassa-1006	172	30	its	its	PRON
ijassa-1006	172	31	two	two	NUM
ijassa-1006	172	32	neighboring	neighboring	NOUN
ijassa-1006	172	33	solutions	solution	NOUN
ijassa-1006	172	34	on	on	ADP
ijassa-1006	172	35	along	along	ADP
ijassa-1006	172	36	each	each	PRON
ijassa-1006	172	37	of	of	ADP
ijassa-1006	172	38	the	the	DET
ijassa-1006	172	39	goals	goal	NOUN
ijassa-1006	172	40	.	.	PUNCT
ijassa-1006	173	1	the	the	DET
ijassa-1006	173	2	computation	computation	NOUN
ijassa-1006	173	3	of	of	ADP
ijassa-1006	173	4	the	the	DET
ijassa-1006	173	5	gathering	gathering	NOUN
ijassa-1006	173	6	distance	distance	NOUN
ijassa-1006	173	7	requires	require	VERB
ijassa-1006	173	8	sorting	sort	VERB
ijassa-1006	173	9	the	the	DET
ijassa-1006	173	10	population	population	NOUN
ijassa-1006	173	11	according	accord	VERB
ijassa-1006	173	12	to	to	ADP
ijassa-1006	173	13	each	each	DET
ijassa-1006	173	14	objective	objective	ADJ
ijassa-1006	173	15	function	function	NOUN
ijassa-1006	173	16	value	value	NOUN
ijassa-1006	173	17	in	in	ADP
ijassa-1006	173	18	an	an	DET
ijassa-1006	173	19	increasing	increase	VERB
ijassa-1006	173	20	order	order	NOUN
ijassa-1006	173	21	of	of	ADP
ijassa-1006	173	22	magnitude	magnitude	NOUN
ijassa-1006	173	23	.	.	PUNCT
ijassa-1006	174	1	then	then	ADV
ijassa-1006	174	2	,	,	PUNCT
ijassa-1006	174	3	for	for	ADP
ijassa-1006	174	4	each	each	DET
ijassa-1006	174	5	objective	objective	ADJ
ijassa-1006	174	6	function	function	NOUN
ijassa-1006	174	7	,	,	PUNCT
ijassa-1006	174	8	the	the	DET
ijassa-1006	174	9	boundary	boundary	ADJ
ijassa-1006	174	10	solutions	solution	NOUN
ijassa-1006	174	11	(	(	PUNCT
ijassa-1006	174	12	solutions	solution	NOUN
ijassa-1006	174	13	with	with	ADP
ijassa-1006	174	14	the	the	DET
ijassa-1006	174	15	smallest	small	ADJ
ijassa-1006	174	16	and	and	CCONJ
ijassa-1006	174	17	largest	large	ADJ
ijassa-1006	174	18	function	function	NOUN
ijassa-1006	174	19	values	value	NOUN
ijassa-1006	174	20	)	)	PUNCT
ijassa-1006	174	21	are	be	AUX
ijassa-1006	174	22	assigned	assign	VERB
ijassa-1006	174	23	an	an	DET
ijassa-1006	174	24	infinite	infinite	ADJ
ijassa-1006	174	25	distance	distance	NOUN
ijassa-1006	174	26	value	value	NOUN
ijassa-1006	174	27	.	.	PUNCT
ijassa-1006	175	1	all	all	DET
ijassa-1006	175	2	other	other	ADJ
ijassa-1006	175	3	intermediate	intermediate	ADJ
ijassa-1006	175	4	solutions	solution	NOUN
ijassa-1006	175	5	are	be	AUX
ijassa-1006	175	6	assigned	assign	VERB
ijassa-1006	175	7	a	a	DET
ijassa-1006	175	8	distance	distance	NOUN
ijassa-1006	175	9	value	value	NOUN
ijassa-1006	175	10	equal	equal	ADJ
ijassa-1006	175	11	to	to	ADP
ijassa-1006	175	12	the	the	DET
ijassa-1006	175	13	absolute	absolute	ADJ
ijassa-1006	175	14	normalized	normalize	VERB
ijassa-1006	175	15	difference	difference	NOUN
ijassa-1006	175	16	of	of	ADP
ijassa-1006	175	17	the	the	DET
ijassa-1006	175	18	function	function	NOUN
ijassa-1006	175	19	values	value	NOUN
ijassa-1006	175	20	of	of	ADP
ijassa-1006	175	21	two	two	NUM
ijassa-1006	175	22	adjacent	adjacent	ADJ
ijassa-1006	175	23	solutions	solution	NOUN
ijassa-1006	175	24	.	.	PUNCT
ijassa-1006	176	1	this	this	DET
ijassa-1006	176	2	calculation	calculation	NOUN
ijassa-1006	176	3	is	be	AUX
ijassa-1006	176	4	continued	continue	VERB
ijassa-1006	176	5	with	with	ADP
ijassa-1006	176	6	other	other	ADJ
ijassa-1006	176	7	objective	objective	ADJ
ijassa-1006	176	8	functions	function	NOUN
ijassa-1006	176	9	.	.	PUNCT
ijassa-1006	177	1	the	the	DET
ijassa-1006	177	2	overall	overall	ADJ
ijassa-1006	177	3	staging	staging	NOUN
ijassa-1006	177	4	distance	distance	NOUN
ijassa-1006	177	5	value	value	NOUN
ijassa-1006	177	6	is	be	AUX
ijassa-1006	177	7	calculated	calculate	VERB
ijassa-1006	177	8	as	as	ADP
ijassa-1006	177	9	the	the	DET
ijassa-1006	177	10	sum	sum	NOUN
ijassa-1006	177	11	of	of	ADP
ijassa-1006	177	12	the	the	DET
ijassa-1006	177	13	individual	individual	ADJ
ijassa-1006	177	14	distance	distance	NOUN
ijassa-1006	177	15	values	value	NOUN
ijassa-1006	177	16	corresponding	correspond	VERB
ijassa-1006	177	17	to	to	ADP
ijassa-1006	177	18	each	each	DET
ijassa-1006	177	19	goal	goal	NOUN
ijassa-1006	177	20	.	.	PUNCT
ijassa-1006	178	1	each	each	DET
ijassa-1006	178	2	objective	objective	ADJ
ijassa-1006	178	3	function	function	NOUN
ijassa-1006	178	4	is	be	AUX
ijassa-1006	178	5	normalized	normalize	VERB
ijassa-1006	178	6	before	before	ADP
ijassa-1006	178	7	calculating	calculate	VERB
ijassa-1006	178	8	the	the	DET
ijassa-1006	178	9	crowding	crowd	VERB
ijassa-1006	178	10	distance	distance	NOUN
ijassa-1006	178	11	.	.	PUNCT
ijassa-1006	179	1	4.1.2	4.1.2	X
ijassa-1006	179	2	.	.	PUNCT
ijassa-1006	179	3	ranking	rank	VERB
ijassa-1006	179	4	assignment	assignment	NOUN
ijassa-1006	179	5	and	and	CCONJ
ijassa-1006	179	6	probability	probability	NOUN
ijassa-1006	179	7	of	of	ADP
ijassa-1006	179	8	selection	selection	NOUN
ijassa-1006	179	9	after	after	ADP
ijassa-1006	179	10	obtaining	obtain	VERB
ijassa-1006	179	11	the	the	DET
ijassa-1006	179	12	number	number	NOUN
ijassa-1006	179	13	of	of	ADP
ijassa-1006	179	14	non	non	ADJ
ijassa-1006	179	15	-	-	ADJ
ijassa-1006	179	16	naming	naming	ADJ
ijassa-1006	179	17	fronts	front	NOUN
ijassa-1006	179	18	𝑖	𝑖	ADP
ijassa-1006	179	19	and	and	CCONJ
ijassa-1006	179	20	the	the	DET
ijassa-1006	179	21	gathering	gathering	NOUN
ijassa-1006	179	22	distance	distance	NOUN
ijassa-1006	179	23	𝑖	𝑖	NOUN
ijassa-1006	179	24	for	for	ADP
ijassa-1006	179	25	each	each	DET
ijassa-1006	179	26	solution	solution	NOUN
ijassa-1006	179	27	𝑖	𝑖	X
ijassa-1006	179	28	,	,	PUNCT
ijassa-1006	179	29	we	we	PRON
ijassa-1006	179	30	can	can	AUX
ijassa-1006	179	31	define	define	VERB
ijassa-1006	179	32	a	a	DET
ijassa-1006	179	33	partial	partial	ADJ
ijassa-1006	179	34	order	order	NOUN
ijassa-1006	179	35	for	for	ADP
ijassa-1006	179	36	the	the	DET
ijassa-1006	179	37	whole	whole	ADJ
ijassa-1006	179	38	population	population	NOUN
ijassa-1006	179	39	.	.	PUNCT
ijassa-1006	180	1	solution	solution	NOUN
ijassa-1006	181	1	𝑖	𝑖	X
ijassa-1006	181	2	is	be	AUX
ijassa-1006	181	3	better	well	ADJ
ijassa-1006	181	4	than	than	ADP
ijassa-1006	181	5	solution	solution	NOUN
ijassa-1006	181	6	𝑗	𝑗	INTJ
ijassa-1006	181	7	,	,	PUNCT
ijassa-1006	181	8	if	if	SCONJ
ijassa-1006	181	9	one	one	NUM
ijassa-1006	181	10	of	of	ADP
ijassa-1006	181	11	the	the	DET
ijassa-1006	181	12	two	two	NUM
ijassa-1006	181	13	conditions	condition	NOUN
ijassa-1006	181	14	is	be	AUX
ijassa-1006	181	15	met	meet	VERB
ijassa-1006	181	16	:	:	PUNCT
ijassa-1006	181	17	(	(	PUNCT
ijassa-1006	181	18	𝑖	𝑖	X
ijassa-1006	181	19	)	)	PUNCT
ijassa-1006	182	1	𝑖	𝑖	ADP
ijassa-1006	182	2	<	<	X
ijassa-1006	182	3	𝑗	𝑗	X
ijassa-1006	182	4	;	;	PUNCT
ijassa-1006	182	5	(	(	PUNCT
ijassa-1006	182	6	𝑖𝑖	𝑖𝑖	NOUN
ijassa-1006	182	7	)	)	PUNCT
ijassa-1006	182	8	𝑖	𝑖	NOUN
ijassa-1006	183	1	=	=	PUNCT
ijassa-1006	183	2	𝑗	𝑗	PRON
ijassa-1006	183	3	𝑎𝑛𝑑	𝑎𝑛𝑑	NOUN
ijassa-1006	183	4	𝑖	𝑖	X
ijassa-1006	183	5	>	>	X
ijassa-1006	183	6	𝑗	𝑗	INTJ
ijassa-1006	183	7	now	now	ADV
ijassa-1006	183	8	the	the	DET
ijassa-1006	183	9	population	population	NOUN
ijassa-1006	183	10	can	can	AUX
ijassa-1006	183	11	be	be	AUX
ijassa-1006	183	12	sorted	sort	VERB
ijassa-1006	183	13	in	in	ADP
ijassa-1006	183	14	ascending	ascend	VERB
ijassa-1006	183	15	order	order	NOUN
ijassa-1006	183	16	based	base	VERB
ijassa-1006	183	17	on	on	ADP
ijassa-1006	183	18	the	the	DET
ijassa-1006	183	19	partial	partial	ADJ
ijassa-1006	183	20	order	order	NOUN
ijassa-1006	183	21	defined	define	VERB
ijassa-1006	183	22	above	above	ADV
ijassa-1006	183	23	.	.	PUNCT
ijassa-1006	184	1	an	an	DET
ijassa-1006	184	2	individual	individual	NOUN
ijassa-1006	184	3	's	's	PART
ijassa-1006	184	4	ranking	ranking	NOUN
ijassa-1006	184	5	is	be	AUX
ijassa-1006	184	6	assigned	assign	VERB
ijassa-1006	184	7	as	as	SCONJ
ijassa-1006	184	8	follows	follow	VERB
ijassa-1006	184	9	:	:	PUNCT
ijassa-1006	184	10	𝑅	𝑅	NOUN
ijassa-1006	184	11	=	=	PUNCT
ijassa-1006	184	12	𝑁	𝑁	PROPN
ijassa-1006	184	13	−	−	PROPN
ijassa-1006	184	14	1	1	NUM
ijassa-1006	184	15	,	,	PUNCT
ijassa-1006	184	16	𝑖	𝑖	NOUN
ijassa-1006	184	17	=	=	SYM
ijassa-1006	184	18	1,2	1,2	NUM
ijassa-1006	184	19	,	,	PUNCT
ijassa-1006	184	20	…	…	PUNCT
ijassa-1006	184	21	,	,	PUNCT
ijassa-1006	184	22	𝑁	𝑁	PROPN
ijassa-1006	184	23	(	(	PUNCT
ijassa-1006	184	24	4.1	4.1	NUM
ijassa-1006	184	25	)	)	PUNCT
ijassa-1006	184	26	where	where	SCONJ
ijassa-1006	184	27	𝑁	𝑁	PROPN
ijassa-1006	184	28	is	be	AUX
ijassa-1006	184	29	the	the	DET
ijassa-1006	184	30	size	size	NOUN
ijassa-1006	184	31	of	of	ADP
ijassa-1006	184	32	the	the	DET
ijassa-1006	184	33	population	population	NOUN
ijassa-1006	184	34	.	.	PUNCT
ijassa-1006	185	1	162	162	NUM
ijassa-1006	185	2	n.	n.	NOUN
ijassa-1006	185	3	boukhari	boukhari	NOUN
ijassa-1006	185	4	,	,	PUNCT
ijassa-1006	185	5	m.	m.	NOUN
ijassa-1006	185	6	a.	a.	NOUN
ijassa-1006	185	7	nemmich	nemmich	PROPN
ijassa-1006	185	8	,	,	PUNCT
ijassa-1006	185	9	f.	f.	PROPN
ijassa-1006	185	10	debbat	debbat	PROPN
ijassa-1006	185	11	,	,	PUNCT
ijassa-1006	185	12	n.	n.	NOUN
ijassa-1006	185	13	monmarché	monmarché	NOUN
ijassa-1006	185	14	,	,	PUNCT
ijassa-1006	185	15	m.	m.	NOUN
ijassa-1006	185	16	slimane	slimane	PROPN
ijassa-1006	185	17	copyright	copyright	NOUN
ijassa-1006	186	1	©	©	PROPN
ijassa-1006	186	2	0000	0000	NUM
ijassa-1006	186	3	assa	assa	PROPN
ijassa-1006	186	4	adv	adv	PROPN
ijassa-1006	186	5	.	.	PUNCT
ijassa-1006	187	1	in	in	ADP
ijassa-1006	187	2	systems	system	NOUN
ijassa-1006	187	3	science	science	NOUN
ijassa-1006	187	4	and	and	CCONJ
ijassa-1006	187	5	appl	appl	NOUN
ijassa-1006	187	6	.	.	PUNCT
ijassa-1006	188	1	(	(	PUNCT
ijassa-1006	188	2	0000	0000	NUM
ijassa-1006	188	3	)	)	PUNCT
ijassa-1006	188	4	according	accord	VERB
ijassa-1006	188	5	to	to	ADP
ijassa-1006	188	6	the	the	DET
ijassa-1006	188	7	equation	equation	NOUN
ijassa-1006	188	8	.	.	PUNCT
ijassa-1006	189	1	(	(	PUNCT
ijassa-1006	189	2	4.1	4.1	NUM
ijassa-1006	189	3	)	)	PUNCT
ijassa-1006	189	4	,	,	PUNCT
ijassa-1006	189	5	the	the	DET
ijassa-1006	189	6	best	good	ADJ
ijassa-1006	189	7	individual	individual	NOUN
ijassa-1006	189	8	in	in	ADP
ijassa-1006	189	9	the	the	DET
ijassa-1006	189	10	current	current	ADJ
ijassa-1006	189	11	population	population	NOUN
ijassa-1006	189	12	will	will	AUX
ijassa-1006	189	13	obtain	obtain	VERB
ijassa-1006	189	14	the	the	DET
ijassa-1006	189	15	highest	high	ADJ
ijassa-1006	189	16	rank	rank	NOUN
ijassa-1006	189	17	.	.	PUNCT
ijassa-1006	190	1	after	after	ADP
ijassa-1006	190	2	assigning	assign	VERB
ijassa-1006	190	3	the	the	DET
ijassa-1006	190	4	ranking	ranking	NOUN
ijassa-1006	190	5	for	for	ADP
ijassa-1006	190	6	each	each	DET
ijassa-1006	190	7	individual	individual	NOUN
ijassa-1006	190	8	,	,	PUNCT
ijassa-1006	190	9	the	the	DET
ijassa-1006	190	10	selection	selection	NOUN
ijassa-1006	190	11	probability	probability	NOUN
ijassa-1006	190	12	𝑃	𝑃	NOUN
ijassa-1006	190	13	of	of	ADP
ijassa-1006	190	14	the	the	DET
ijassa-1006	190	15	thi	thi	PROPN
ijassa-1006	190	16	individual	individual	NOUN
ijassa-1006	190	17	is	be	AUX
ijassa-1006	190	18	calculated	calculate	VERB
ijassa-1006	190	19	as	as	SCONJ
ijassa-1006	190	20	follows	follow	VERB
ijassa-1006	190	21	:	:	PUNCT
ijassa-1006	190	22	𝑃	𝑃	PROPN
ijassa-1006	190	23	=	=	SYM
ijassa-1006	190	24	𝑅	𝑅	PROPN
ijassa-1006	190	25	𝑁	𝑁	PROPN
ijassa-1006	190	26	,	,	PUNCT
ijassa-1006	190	27	𝑖	𝑖	NOUN
ijassa-1006	190	28	=	=	SYM
ijassa-1006	190	29	1,2	1,2	NUM
ijassa-1006	190	30	,	,	PUNCT
ijassa-1006	190	31	…	…	PUNCT
ijassa-1006	190	32	,	,	PUNCT
ijassa-1006	190	33	𝑁	𝑁	PROPN
ijassa-1006	190	34	(	(	PUNCT
ijassa-1006	190	35	4.2	4.2	NUM
ijassa-1006	190	36	)	)	PUNCT
ijassa-1006	190	37	after	after	ADP
ijassa-1006	190	38	calculating	calculate	VERB
ijassa-1006	190	39	the	the	DET
ijassa-1006	190	40	probability	probability	NOUN
ijassa-1006	190	41	of	of	ADP
ijassa-1006	190	42	selecting	select	VERB
ijassa-1006	190	43	each	each	DET
ijassa-1006	190	44	individual	individual	NOUN
ijassa-1006	190	45	by	by	ADP
ijassa-1006	190	46	the	the	DET
ijassa-1006	190	47	equation	equation	NOUN
ijassa-1006	190	48	.	.	PUNCT
ijassa-1006	191	1	(	(	PUNCT
ijassa-1006	191	2	4.2	4.2	NUM
ijassa-1006	191	3	)	)	PUNCT
ijassa-1006	191	4	,	,	PUNCT
ijassa-1006	191	5	the	the	DET
ijassa-1006	191	6	mutation	mutation	NOUN
ijassa-1006	191	7	operator	operator	NOUN
ijassa-1006	191	8	based	base	VERB
ijassa-1006	191	9	on	on	ADP
ijassa-1006	191	10	the	the	DET
ijassa-1006	191	11	ranking	ranking	NOUN
ijassa-1006	191	12	of	of	ADP
ijassa-1006	191	13	de	de	X
ijassa-1006	191	14	/	/	SYM
ijassa-1006	191	15	rand/1	rand/1	PROPN
ijassa-1006	191	16	for	for	ADP
ijassa-1006	191	17	multi	multi	ADJ
ijassa-1006	191	18	-	-	ADJ
ijassa-1006	191	19	objective	objective	ADJ
ijassa-1006	191	20	optimization	optimization	NOUN
ijassa-1006	191	21	can	can	AUX
ijassa-1006	191	22	be	be	AUX
ijassa-1006	191	23	presented	present	VERB
ijassa-1006	191	24	in	in	ADP
ijassa-1006	191	25	step	step	NOUN
ijassa-1006	191	26	5	5	NUM
ijassa-1006	191	27	on	on	ADP
ijassa-1006	191	28	algorithm	algorithm	NOUN
ijassa-1006	191	29	2	2	NUM
ijassa-1006	191	30	,	,	PUNCT
ijassa-1006	191	31	where	where	SCONJ
ijassa-1006	191	32	the	the	DET
ijassa-1006	191	33	individual	individual	NOUN
ijassa-1006	191	34	with	with	ADP
ijassa-1006	191	35	a	a	DET
ijassa-1006	191	36	higher	high	ADJ
ijassa-1006	191	37	ranking	ranking	NOUN
ijassa-1006	191	38	will	will	AUX
ijassa-1006	191	39	have	have	VERB
ijassa-1006	191	40	a	a	DET
ijassa-1006	191	41	greater	great	ADJ
ijassa-1006	191	42	probability	probability	NOUN
ijassa-1006	191	43	of	of	ADP
ijassa-1006	191	44	being	be	AUX
ijassa-1006	191	45	selected	select	VERB
ijassa-1006	191	46	as	as	ADP
ijassa-1006	191	47	the	the	DET
ijassa-1006	191	48	base	base	NOUN
ijassa-1006	191	49	vector	vector	NOUN
ijassa-1006	191	50	or	or	CCONJ
ijassa-1006	191	51	the	the	DET
ijassa-1006	191	52	terminal	terminal	ADJ
ijassa-1006	191	53	vector	vector	NOUN
ijassa-1006	191	54	in	in	ADP
ijassa-1006	191	55	the	the	DET
ijassa-1006	191	56	mutation	mutation	NOUN
ijassa-1006	191	57	operator	operator	NOUN
ijassa-1006	191	58	;	;	PUNCT
ijassa-1006	191	59	hence	hence	ADV
ijassa-1006	191	60	,	,	PUNCT
ijassa-1006	191	61	it	it	PRON
ijassa-1006	191	62	is	be	AUX
ijassa-1006	191	63	beneficial	beneficial	ADJ
ijassa-1006	191	64	for	for	ADP
ijassa-1006	191	65	the	the	DET
ijassa-1006	191	66	propagation	propagation	NOUN
ijassa-1006	191	67	of	of	ADP
ijassa-1006	191	68	good	good	ADJ
ijassa-1006	191	69	information	information	NOUN
ijassa-1006	191	70	in	in	ADP
ijassa-1006	191	71	the	the	DET
ijassa-1006	191	72	population	population	NOUN
ijassa-1006	191	73	to	to	ADP
ijassa-1006	191	74	the	the	DET
ijassa-1006	191	75	offspring	offspring	NOUN
ijassa-1006	191	76	.	.	PUNCT
ijassa-1006	192	1	in	in	ADP
ijassa-1006	192	2	the	the	DET
ijassa-1006	192	3	ranking	ranking	NOUN
ijassa-1006	192	4	-	-	PUNCT
ijassa-1006	192	5	based	base	VERB
ijassa-1006	192	6	mutation	mutation	NOUN
ijassa-1006	192	7	operator	operator	NOUN
ijassa-1006	192	8	for	for	ADP
ijassa-1006	192	9	multi	multi	ADJ
ijassa-1006	192	10	-	-	ADJ
ijassa-1006	192	11	objective	objective	ADJ
ijassa-1006	192	12	optimization	optimization	NOUN
ijassa-1006	192	13	,	,	PUNCT
ijassa-1006	192	14	only	only	ADV
ijassa-1006	192	15	the	the	DET
ijassa-1006	192	16	base	base	NOUN
ijassa-1006	192	17	vector	vector	NOUN
ijassa-1006	192	18	and	and	CCONJ
ijassa-1006	192	19	the	the	DET
ijassa-1006	192	20	terminal	terminal	ADJ
ijassa-1006	192	21	vector	vector	NOUN
ijassa-1006	192	22	are	be	AUX
ijassa-1006	192	23	selected	select	VERB
ijassa-1006	192	24	based	base	VERB
ijassa-1006	192	25	on	on	ADP
ijassa-1006	192	26	their	their	PRON
ijassa-1006	192	27	selection	selection	NOUN
ijassa-1006	192	28	probabilities	probability	NOUN
ijassa-1006	192	29	,	,	PUNCT
ijassa-1006	192	30	while	while	SCONJ
ijassa-1006	192	31	the	the	DET
ijassa-1006	192	32	start	start	NOUN
ijassa-1006	192	33	vector	vector	NOUN
ijassa-1006	192	34	is	be	AUX
ijassa-1006	192	35	selected	select	VERB
ijassa-1006	192	36	randomly	randomly	ADV
ijassa-1006	192	37	.	.	PUNCT
ijassa-1006	193	1	indeed	indeed	ADV
ijassa-1006	193	2	,	,	PUNCT
ijassa-1006	193	3	if	if	SCONJ
ijassa-1006	193	4	the	the	DET
ijassa-1006	193	5	two	two	NUM
ijassa-1006	193	6	vectors	vector	NOUN
ijassa-1006	193	7	of	of	ADP
ijassa-1006	193	8	the	the	DET
ijassa-1006	193	9	difference	difference	NOUN
ijassa-1006	193	10	vector	vector	NOUN
ijassa-1006	193	11	are	be	AUX
ijassa-1006	193	12	both	both	PRON
ijassa-1006	193	13	chosen	choose	VERB
ijassa-1006	193	14	from	from	ADP
ijassa-1006	193	15	among	among	ADP
ijassa-1006	193	16	better	well	ADJ
ijassa-1006	193	17	vectors	vector	NOUN
ijassa-1006	193	18	,	,	PUNCT
ijassa-1006	193	19	the	the	DET
ijassa-1006	193	20	search	search	NOUN
ijassa-1006	193	21	step	step	NOUN
ijassa-1006	193	22	size	size	NOUN
ijassa-1006	193	23	of	of	ADP
ijassa-1006	193	24	the	the	DET
ijassa-1006	193	25	difference	difference	NOUN
ijassa-1006	193	26	vector	vector	NOUN
ijassa-1006	193	27	can	can	AUX
ijassa-1006	193	28	decrease	decrease	VERB
ijassa-1006	193	29	rapidly	rapidly	ADV
ijassa-1006	193	30	and	and	CCONJ
ijassa-1006	193	31	lead	lead	VERB
ijassa-1006	193	32	to	to	ADP
ijassa-1006	193	33	premature	premature	ADJ
ijassa-1006	193	34	convergence	convergence	NOUN
ijassa-1006	193	35	[	[	X
ijassa-1006	193	36	48	48	NUM
ijassa-1006	193	37	]	]	PUNCT
ijassa-1006	193	38	.	.	PUNCT
ijassa-1006	194	1	4.1.3	4.1.3	X
ijassa-1006	194	2	.	.	PUNCT
ijassa-1006	194	3	selection	selection	NOUN
ijassa-1006	194	4	operator	operator	NOUN
ijassa-1006	194	5	in	in	ADP
ijassa-1006	194	6	mode	mode	NOUN
ijassa-1006	194	7	,	,	PUNCT
ijassa-1006	194	8	the	the	DET
ijassa-1006	194	9	crossover	crossover	NOUN
ijassa-1006	194	10	is	be	AUX
ijassa-1006	194	11	performed	perform	VERB
ijassa-1006	194	12	in	in	ADP
ijassa-1006	194	13	the	the	DET
ijassa-1006	194	14	same	same	ADJ
ijassa-1006	194	15	way	way	NOUN
ijassa-1006	194	16	as	as	ADP
ijassa-1006	194	17	in	in	ADP
ijassa-1006	194	18	single	single	ADJ
ijassa-1006	194	19	objective	objective	ADJ
ijassa-1006	194	20	optimization	optimization	NOUN
ijassa-1006	194	21	.	.	PUNCT
ijassa-1006	195	1	however	however	ADV
ijassa-1006	195	2	,	,	PUNCT
ijassa-1006	195	3	the	the	DET
ijassa-1006	195	4	selection	selection	NOUN
ijassa-1006	195	5	needs	need	VERB
ijassa-1006	195	6	to	to	PART
ijassa-1006	195	7	be	be	AUX
ijassa-1006	195	8	rethought	rethink	VERB
ijassa-1006	195	9	,	,	PUNCT
ijassa-1006	195	10	as	as	SCONJ
ijassa-1006	195	11	the	the	DET
ijassa-1006	195	12	test	test	NOUN
ijassa-1006	195	13	vector	vector	NOUN
ijassa-1006	195	14	and	and	CCONJ
ijassa-1006	195	15	the	the	DET
ijassa-1006	195	16	target	target	NOUN
ijassa-1006	195	17	vector	vector	NOUN
ijassa-1006	195	18	are	be	AUX
ijassa-1006	195	19	often	often	ADV
ijassa-1006	195	20	non	non	ADJ
ijassa-1006	195	21	-	-	ADJ
ijassa-1006	195	22	dominated	dominated	ADJ
ijassa-1006	195	23	over	over	ADP
ijassa-1006	195	24	each	each	DET
ijassa-1006	195	25	other	other	ADJ
ijassa-1006	195	26	.	.	PUNCT
ijassa-1006	196	1	in	in	ADP
ijassa-1006	196	2	mode	mode	PROPN
ijassa-1006	196	3	-	-	PUNCT
ijassa-1006	196	4	rmo	rmo	PROPN
ijassa-1006	196	5	,	,	PUNCT
ijassa-1006	196	6	we	we	PRON
ijassa-1006	196	7	use	use	VERB
ijassa-1006	196	8	the	the	DET
ijassa-1006	196	9	following	follow	VERB
ijassa-1006	196	10	selection	selection	NOUN
ijassa-1006	196	11	operator	operator	NOUN
ijassa-1006	196	12	,	,	PUNCT
ijassa-1006	196	13	which	which	PRON
ijassa-1006	196	14	has	have	VERB
ijassa-1006	196	15	three	three	NUM
ijassa-1006	196	16	steps	step	NOUN
ijassa-1006	196	17	:	:	PUNCT
ijassa-1006	196	18	(	(	PUNCT
ijassa-1006	196	19	1	1	X
ijassa-1006	196	20	)	)	PUNCT
ijassa-1006	196	21	if	if	SCONJ
ijassa-1006	196	22	the	the	DET
ijassa-1006	196	23	test	test	NOUN
ijassa-1006	196	24	vector	vector	NOUN
ijassa-1006	196	25	dominates	dominate	VERB
ijassa-1006	196	26	the	the	DET
ijassa-1006	196	27	target	target	NOUN
ijassa-1006	196	28	vector	vector	NOUN
ijassa-1006	196	29	,	,	PUNCT
ijassa-1006	196	30	use	use	VERB
ijassa-1006	196	31	the	the	DET
ijassa-1006	196	32	test	test	NOUN
ijassa-1006	196	33	vector	vector	NOUN
ijassa-1006	196	34	to	to	PART
ijassa-1006	196	35	replace	replace	VERB
ijassa-1006	196	36	the	the	DET
ijassa-1006	196	37	target	target	NOUN
ijassa-1006	196	38	vector	vector	NOUN
ijassa-1006	196	39	.	.	PUNCT
ijassa-1006	197	1	(	(	PUNCT
ijassa-1006	197	2	2	2	X
ijassa-1006	197	3	)	)	PUNCT
ijassa-1006	197	4	if	if	SCONJ
ijassa-1006	197	5	the	the	DET
ijassa-1006	197	6	target	target	NOUN
ijassa-1006	197	7	vector	vector	NOUN
ijassa-1006	197	8	dominates	dominate	VERB
ijassa-1006	197	9	the	the	DET
ijassa-1006	197	10	test	test	NOUN
ijassa-1006	197	11	vector	vector	NOUN
ijassa-1006	197	12	,	,	PUNCT
ijassa-1006	197	13	the	the	DET
ijassa-1006	197	14	test	test	NOUN
ijassa-1006	197	15	vector	vector	NOUN
ijassa-1006	197	16	is	be	AUX
ijassa-1006	197	17	discarded	discard	VERB
ijassa-1006	197	18	.	.	PUNCT
ijassa-1006	198	1	(	(	PUNCT
ijassa-1006	198	2	3	3	X
ijassa-1006	198	3	)	)	PUNCT
ijassa-1006	198	4	otherwise	otherwise	ADV
ijassa-1006	198	5	,	,	PUNCT
ijassa-1006	198	6	the	the	DET
ijassa-1006	198	7	test	test	NOUN
ijassa-1006	198	8	vector	vector	NOUN
ijassa-1006	198	9	is	be	AUX
ijassa-1006	198	10	added	add	VERB
ijassa-1006	198	11	to	to	ADP
ijassa-1006	198	12	the	the	DET
ijassa-1006	198	13	population	population	NOUN
ijassa-1006	198	14	.	.	PUNCT
ijassa-1006	199	1	thus	thus	ADV
ijassa-1006	199	2	,	,	PUNCT
ijassa-1006	199	3	at	at	ADP
ijassa-1006	199	4	the	the	DET
ijassa-1006	199	5	end	end	NOUN
ijassa-1006	199	6	of	of	ADP
ijassa-1006	199	7	a	a	DET
ijassa-1006	199	8	generation	generation	NOUN
ijassa-1006	199	9	,	,	PUNCT
ijassa-1006	199	10	the	the	DET
ijassa-1006	199	11	total	total	ADJ
ijassa-1006	199	12	population	population	NOUN
ijassa-1006	199	13	size	size	NOUN
ijassa-1006	199	14	is	be	AUX
ijassa-1006	199	15	between	between	ADP
ijassa-1006	199	16	np	np	NOUN
ijassa-1006	199	17	and	and	CCONJ
ijassa-1006	199	18	2np	2np	ADJ
ijassa-1006	199	19	.	.	PUNCT
ijassa-1006	200	1	this	this	DET
ijassa-1006	200	2	population	population	NOUN
ijassa-1006	200	3	is	be	AUX
ijassa-1006	200	4	truncated	truncate	VERB
ijassa-1006	200	5	for	for	ADP
ijassa-1006	200	6	the	the	DET
ijassa-1006	200	7	next	next	ADJ
ijassa-1006	200	8	step	step	NOUN
ijassa-1006	200	9	of	of	ADP
ijassa-1006	200	10	the	the	DET
ijassa-1006	200	11	algorithm	algorithm	NOUN
ijassa-1006	200	12	.	.	PUNCT
ijassa-1006	201	1	the	the	DET
ijassa-1006	201	2	truncation	truncation	NOUN
ijassa-1006	201	3	process	process	NOUN
ijassa-1006	201	4	involves	involve	VERB
ijassa-1006	201	5	sorting	sort	VERB
ijassa-1006	201	6	and	and	CCONJ
ijassa-1006	201	7	rating	rating	NOUN
ijassa-1006	201	8	individuals	individual	NOUN
ijassa-1006	201	9	on	on	ADP
ijassa-1006	201	10	the	the	DET
ijassa-1006	201	11	same	same	ADJ
ijassa-1006	201	12	front	front	NOUN
ijassa-1006	201	13	with	with	ADP
ijassa-1006	201	14	the	the	DET
ijassa-1006	201	15	crowding	crowd	VERB
ijassa-1006	201	16	distance	distance	NOUN
ijassa-1006	201	17	.	.	PUNCT
ijassa-1006	202	1	the	the	DET
ijassa-1006	202	2	truncation	truncation	NOUN
ijassa-1006	202	3	procedure	procedure	NOUN
ijassa-1006	202	4	retains	retain	VERB
ijassa-1006	202	5	only	only	ADV
ijassa-1006	202	6	the	the	DET
ijassa-1006	202	7	best	good	ADJ
ijassa-1006	202	8	np	np	NOUN
ijassa-1006	202	9	vectors	vector	NOUN
ijassa-1006	202	10	in	in	ADP
ijassa-1006	202	11	the	the	DET
ijassa-1006	202	12	population	population	NOUN
ijassa-1006	202	13	.	.	PUNCT
ijassa-1006	203	1	algorithm	algorithm	PROPN
ijassa-1006	203	2	2	2	NUM
ijassa-1006	203	3	general	general	ADJ
ijassa-1006	203	4	procedure	procedure	NOUN
ijassa-1006	203	5	of	of	ADP
ijassa-1006	203	6	mode	mode	NOUN
ijassa-1006	203	7	-	-	PUNCT
ijassa-1006	203	8	rmo	rmo	PROPN
ijassa-1006	203	9	step	step	NOUN
ijassa-1006	203	10	1	1	NUM
ijassa-1006	203	11	:	:	PUNCT
ijassa-1006	203	12	define	define	VERB
ijassa-1006	203	13	the	the	DET
ijassa-1006	203	14	number	number	NOUN
ijassa-1006	203	15	of	of	ADP
ijassa-1006	203	16	generations	generation	NOUN
ijassa-1006	203	17	𝒈	𝒈	X
ijassa-1006	203	18	=	=	SYM
ijassa-1006	203	19	𝟎	𝟎	PROPN
ijassa-1006	203	20	,	,	PUNCT
ijassa-1006	203	21	randomly	randomly	ADV
ijassa-1006	203	22	initialize	initialize	VERB
ijassa-1006	203	23	the	the	DET
ijassa-1006	203	24	population	population	NOUN
ijassa-1006	203	25	𝑷𝒈	𝑷𝒈	PROPN
ijassa-1006	203	26	=	=	PUNCT
ijassa-1006	203	27	{	{	PUNCT
ijassa-1006	203	28	𝒙𝟏	𝒙𝟏	NOUN
ijassa-1006	203	29	𝒈	𝒈	PROPN
ijassa-1006	203	30	,	,	PUNCT
ijassa-1006	203	31	𝒙𝟐	𝒙𝟐	NOUN
ijassa-1006	203	32	𝒈	𝒈	PRON
ijassa-1006	203	33	,	,	PUNCT
ijassa-1006	203	34	…	…	PUNCT
ijassa-1006	203	35	,	,	PUNCT
ijassa-1006	203	36	𝒙𝑵𝒑	𝒙𝑵𝒑	VERB
ijassa-1006	203	37	𝒈	𝒈	PRON
ijassa-1006	203	38	}	}	PUNCT
ijassa-1006	203	39	with	with	ADP
ijassa-1006	203	40	𝒙𝒊	𝒙𝒊	PROPN
ijassa-1006	203	41	𝒈	𝒈	PROPN
ijassa-1006	203	42	=	=	PUNCT
ijassa-1006	203	43	{	{	PUNCT
ijassa-1006	203	44	𝒙𝒊𝟏	𝒙𝒊𝟏	PROPN
ijassa-1006	203	45	𝒈	𝒈	PROPN
ijassa-1006	203	46	,	,	PUNCT
ijassa-1006	203	47	𝒙𝒊𝟐	𝒙𝒊𝟐	ADV
ijassa-1006	203	48	𝒈	𝒈	X
ijassa-1006	203	49	,	,	PUNCT
ijassa-1006	203	50	…	…	PUNCT
ijassa-1006	203	51	,	,	PUNCT
ijassa-1006	203	52	𝒙𝒊𝑫	𝒙𝒊𝑫	PROPN
ijassa-1006	203	53	𝒈	𝒈	X
ijassa-1006	203	54	}	}	PUNCT
ijassa-1006	203	55	(	(	PUNCT
ijassa-1006	203	56	𝒊	𝒊	X
ijassa-1006	203	57	=	=	NOUN
ijassa-1006	203	58	𝟏	𝟏	NUM
ijassa-1006	203	59	,	,	PUNCT
ijassa-1006	203	60	…	…	PUNCT
ijassa-1006	203	61	,	,	PUNCT
ijassa-1006	203	62	𝑵𝒑	𝑵𝒑	PROPN
ijassa-1006	203	63	)	)	PUNCT
ijassa-1006	203	64	uniformly	uniformly	ADV
ijassa-1006	203	65	distributed	distribute	VERB
ijassa-1006	203	66	in	in	ADP
ijassa-1006	203	67	the	the	DET
ijassa-1006	203	68	search	search	NOUN
ijassa-1006	203	69	space	space	NOUN
ijassa-1006	203	70	define	define	VERB
ijassa-1006	203	71	the	the	DET
ijassa-1006	203	72	mutation	mutation	NOUN
ijassa-1006	203	73	scale	scale	NOUN
ijassa-1006	203	74	factor	factor	NOUN
ijassa-1006	203	75	f	f	NOUN
ijassa-1006	203	76	,	,	PUNCT
ijassa-1006	203	77	the	the	DET
ijassa-1006	203	78	crossbreeding	crossbreed	VERB
ijassa-1006	203	79	constant	constant	ADJ
ijassa-1006	203	80	cr	cr	NOUN
ijassa-1006	203	81	and	and	CCONJ
ijassa-1006	203	82	the	the	DET
ijassa-1006	203	83	maximum	maximum	ADJ
ijassa-1006	203	84	number	number	NOUN
ijassa-1006	203	85	of	of	ADP
ijassa-1006	203	86	maxgen	maxgen	NOUN
ijassa-1006	203	87	generations	generation	NOUN
ijassa-1006	203	88	.	.	PUNCT
ijassa-1006	204	1	step	step	NOUN
ijassa-1006	204	2	2	2	NUM
ijassa-1006	204	3	:	:	PUNCT
ijassa-1006	204	4	evaluate	evaluate	VERB
ijassa-1006	204	5	the	the	DET
ijassa-1006	204	6	fitness	fitness	NOUN
ijassa-1006	204	7	value	value	NOUN
ijassa-1006	204	8	of	of	ADP
ijassa-1006	204	9	each	each	DET
ijassa-1006	204	10	target	target	NOUN
ijassa-1006	204	11	vector	vector	NOUN
ijassa-1006	204	12	𝒙𝒊	𝒙𝒊	PROPN
ijassa-1006	204	13	𝒈.	𝒈.	PROPN
ijassa-1006	204	14	step	step	NOUN
ijassa-1006	204	15	3	3	NUM
ijassa-1006	204	16	:	:	PUNCT
ijassa-1006	204	17	for	for	ADP
ijassa-1006	204	18	each	each	DET
ijassa-1006	204	19	individual	individual	ADJ
ijassa-1006	204	20	vector	vector	NOUN
ijassa-1006	204	21	,	,	PUNCT
ijassa-1006	204	22	perform	perform	VERB
ijassa-1006	204	23	the	the	DET
ijassa-1006	204	24	following	follow	VERB
ijassa-1006	204	25	steps	step	NOUN
ijassa-1006	204	26	from	from	ADP
ijassa-1006	204	27	step	step	NOUN
ijassa-1006	204	28	4	4	NUM
ijassa-1006	204	29	to	to	PART
ijassa-1006	204	30	step	step	VERB
ijassa-1006	204	31	7	7	NUM
ijassa-1006	204	32	.	.	PUNCT
ijassa-1006	205	1	step	step	NOUN
ijassa-1006	205	2	4	4	NUM
ijassa-1006	205	3	:	:	PUNCT
ijassa-1006	205	4	determine	determine	VERB
ijassa-1006	205	5	the	the	DET
ijassa-1006	205	6	vector	vector	NOUN
ijassa-1006	205	7	indices	index	NOUN
ijassa-1006	205	8	selected	select	VERB
ijassa-1006	205	9	using	use	VERB
ijassa-1006	205	10	the	the	DET
ijassa-1006	205	11	method	method	NOUN
ijassa-1006	205	12	described	describe	VERB
ijassa-1006	205	13	in	in	ADP
ijassa-1006	205	14	4.1.2	4.1.2	NUM
ijassa-1006	205	15	step	step	NOUN
ijassa-1006	205	16	5	5	NUM
ijassa-1006	205	17	:	:	PUNCT
ijassa-1006	205	18	use	use	VERB
ijassa-1006	205	19	the	the	DET
ijassa-1006	205	20	ranking	ranking	NOUN
ijassa-1006	205	21	-	-	PUNCT
ijassa-1006	205	22	based	base	VERB
ijassa-1006	205	23	mutation	mutation	NOUN
ijassa-1006	205	24	operator	operator	NOUN
ijassa-1006	205	25	to	to	PART
ijassa-1006	205	26	generate	generate	VERB
ijassa-1006	205	27	a	a	DET
ijassa-1006	205	28	vector	vector	NOUN
ijassa-1006	205	29	𝒎𝒊	𝒎𝒊	ADP
ijassa-1006	205	30	𝒈	𝒈	NOUN
ijassa-1006	205	31	𝟏	𝟏	NUM
ijassa-1006	205	32	corresponding	correspond	VERB
ijassa-1006	205	33	to	to	ADP
ijassa-1006	205	34	the	the	DET
ijassa-1006	205	35	target	target	NOUN
ijassa-1006	205	36	vector	vector	NOUN
ijassa-1006	205	37	𝒙𝒊	𝒙𝒊	PROPN
ijassa-1006	205	38	𝒈	𝒈	PROPN
ijassa-1006	205	39	according	accord	VERB
ijassa-1006	205	40	to	to	ADP
ijassa-1006	205	41	equation	equation	NOUN
ijassa-1006	205	42	(	(	PUNCT
ijassa-1006	205	43	5	5	NUM
ijassa-1006	205	44	)	)	PUNCT
ijassa-1006	205	45	.	.	PUNCT
ijassa-1006	206	1	step	step	NOUN
ijassa-1006	206	2	6	6	NUM
ijassa-1006	206	3	:	:	PUNCT
ijassa-1006	206	4	use	use	VERB
ijassa-1006	206	5	the	the	DET
ijassa-1006	206	6	crossover	crossover	NOUN
ijassa-1006	206	7	operation	operation	NOUN
ijassa-1006	206	8	to	to	PART
ijassa-1006	206	9	generate	generate	VERB
ijassa-1006	206	10	a	a	DET
ijassa-1006	206	11	test	test	NOUN
ijassa-1006	206	12	vector	vector	NOUN
ijassa-1006	206	13	𝒗𝒊	𝒗𝒊	NOUN
ijassa-1006	206	14	𝒈	𝒈	NOUN
ijassa-1006	206	15	𝟏	𝟏	NUM
ijassa-1006	206	16	for	for	ADP
ijassa-1006	206	17	each	each	DET
ijassa-1006	206	18	target	target	NOUN
ijassa-1006	206	19	vector	vector	NOUN
ijassa-1006	206	20	𝒙𝒊	𝒙𝒊	PROPN
ijassa-1006	206	21	𝒈	𝒈	PROPN
ijassa-1006	206	22	according	accord	VERB
ijassa-1006	206	23	to	to	ADP
ijassa-1006	206	24	equation	equation	NOUN
ijassa-1006	206	25	(	(	PUNCT
ijassa-1006	206	26	6	6	NUM
ijassa-1006	206	27	)	)	PUNCT
ijassa-1006	206	28	.	.	PUNCT
ijassa-1006	207	1	step	step	NOUN
ijassa-1006	207	2	7	7	NUM
ijassa-1006	207	3	:	:	PUNCT
ijassa-1006	207	4	evaluate	evaluate	VERB
ijassa-1006	207	5	the	the	DET
ijassa-1006	207	6	test	test	NOUN
ijassa-1006	207	7	vector	vector	NOUN
ijassa-1006	207	8	and	and	CCONJ
ijassa-1006	207	9	use	use	VERB
ijassa-1006	207	10	the	the	DET
ijassa-1006	207	11	following	follow	VERB
ijassa-1006	207	12	selection	selection	NOUN
ijassa-1006	207	13	operation	operation	NOUN
ijassa-1006	207	14	:	:	PUNCT
ijassa-1006	207	15	(	(	PUNCT
ijassa-1006	207	16	i	i	NOUN
ijassa-1006	207	17	)	)	PUNCT
ijassa-1006	207	18	if	if	SCONJ
ijassa-1006	207	19	𝒗𝒊	𝒗𝒊	ADP
ijassa-1006	207	20	𝒈	𝒈	PROPN
ijassa-1006	207	21	𝟏	𝟏	X
ijassa-1006	207	22	dominates	dominate	VERB
ijassa-1006	207	23	𝒙𝒊	𝒙𝒊	PROPN
ijassa-1006	207	24	𝒈	𝒈	PROPN
ijassa-1006	207	25	,	,	PUNCT
ijassa-1006	207	26	𝒙𝒊	𝒙𝒊	PROPN
ijassa-1006	207	27	𝒈	𝒈	NOUN
ijassa-1006	207	28	𝟏	𝟏	X
ijassa-1006	207	29	=	=	SYM
ijassa-1006	207	30	𝒗𝒊	𝒗𝒊	PROPN
ijassa-1006	207	31	𝒈	𝒈	PROPN
ijassa-1006	207	32	𝟏.	𝟏.	X
ijassa-1006	207	33	(	(	PUNCT
ijassa-1006	207	34	ii	ii	NOUN
ijassa-1006	207	35	)	)	PUNCT
ijassa-1006	207	36	if	if	SCONJ
ijassa-1006	207	37	𝒙𝒊	𝒙𝒊	PROPN
ijassa-1006	207	38	𝒈	𝒈	PROPN
ijassa-1006	207	39	dominates	dominate	VERB
ijassa-1006	207	40	𝒗𝒊	𝒗𝒊	ADP
ijassa-1006	207	41	𝐠	𝐠	PRON
ijassa-1006	207	42	𝟏	𝟏	PROPN
ijassa-1006	207	43	,	,	PUNCT
ijassa-1006	207	44	𝒗𝒊	𝒗𝒊	SCONJ
ijassa-1006	207	45	𝐠	𝐠	DET
ijassa-1006	207	46	𝟏	𝟏	NUM
ijassa-1006	207	47	is	be	AUX
ijassa-1006	207	48	rejected	reject	VERB
ijassa-1006	207	49	.	.	PUNCT
ijassa-1006	208	1	(	(	PUNCT
ijassa-1006	208	2	iii	iii	X
ijassa-1006	208	3	)	)	PUNCT
ijassa-1006	208	4	if	if	SCONJ
ijassa-1006	208	5	𝒙𝒊	𝒙𝒊	PROPN
ijassa-1006	208	6	𝒈	𝒈	PROPN
ijassa-1006	208	7	and	and	CCONJ
ijassa-1006	208	8	𝒗𝒊	𝒗𝒊	ADP
ijassa-1006	208	9	𝐠	𝐠	DET
ijassa-1006	208	10	𝟏	𝟏	NUM
ijassa-1006	208	11	are	be	AUX
ijassa-1006	208	12	not	not	PART
ijassa-1006	208	13	dominated	dominate	VERB
ijassa-1006	208	14	with	with	ADP
ijassa-1006	208	15	each	each	DET
ijassa-1006	208	16	other	other	ADJ
ijassa-1006	208	17	,	,	PUNCT
ijassa-1006	208	18	add	add	VERB
ijassa-1006	208	19	𝒗𝒊	𝒗𝒊	ADV
ijassa-1006	208	20	𝐠	𝐠	PRON
ijassa-1006	208	21	𝟏	𝟏	NUM
ijassa-1006	208	22	to	to	ADP
ijassa-1006	208	23	the	the	DET
ijassa-1006	208	24	population	population	NOUN
ijassa-1006	208	25	.	.	PUNCT
ijassa-1006	209	1	step	step	NOUN
ijassa-1006	209	2	8	8	NUM
ijassa-1006	209	3	:	:	PUNCT
ijassa-1006	209	4	after	after	ADP
ijassa-1006	209	5	step	step	NOUN
ijassa-1006	209	6	7	7	NUM
ijassa-1006	209	7	,	,	PUNCT
ijassa-1006	209	8	the	the	DET
ijassa-1006	209	9	size	size	NOUN
ijassa-1006	209	10	of	of	ADP
ijassa-1006	209	11	the	the	DET
ijassa-1006	209	12	population	population	NOUN
ijassa-1006	209	13	varies	vary	VERB
ijassa-1006	209	14	from	from	ADP
ijassa-1006	209	15	np	np	PRON
ijassa-1006	209	16	to	to	ADP
ijassa-1006	209	17	2np	2np	ADJ
ijassa-1006	209	18	.	.	PUNCT
ijassa-1006	210	1	sorting	sort	VERB
ijassa-1006	210	2	population	population	NOUN
ijassa-1006	210	3	based	base	VERB
ijassa-1006	210	4	on	on	ADP
ijassa-1006	210	5	non	non	ADJ
ijassa-1006	210	6	-	-	ADJ
ijassa-1006	210	7	dominated	dominated	ADJ
ijassa-1006	210	8	sorting	sorting	NOUN
ijassa-1006	210	9	and	and	CCONJ
ijassa-1006	210	10	crowding	crowd	VERB
ijassa-1006	210	11	distance	distance	NOUN
ijassa-1006	210	12	,	,	PUNCT
ijassa-1006	210	13	and	and	CCONJ
ijassa-1006	210	14	best	good	ADJ
ijassa-1006	210	15	individual	individual	ADJ
ijassa-1006	210	16	𝑵𝒑	𝑵𝒑	PROPN
ijassa-1006	210	17	survive	survive	VERB
ijassa-1006	210	18	the	the	DET
ijassa-1006	210	19	next	next	ADJ
ijassa-1006	210	20	generation	generation	NOUN
ijassa-1006	210	21	.	.	PUNCT
ijassa-1006	211	1	step	step	NOUN
ijassa-1006	211	2	9	9	NUM
ijassa-1006	211	3	:	:	PUNCT
ijassa-1006	211	4	set	set	VERB
ijassa-1006	211	5	g	g	NOUN
ijassa-1006	211	6	=	=	SYM
ijassa-1006	211	7	g	g	PROPN
ijassa-1006	212	1	+	+	NOUN
ijassa-1006	212	2	1	1	NUM
ijassa-1006	212	3	,	,	PUNCT
ijassa-1006	212	4	go	go	VERB
ijassa-1006	212	5	back	back	ADV
ijassa-1006	212	6	to	to	PART
ijassa-1006	212	7	step	step	VERB
ijassa-1006	212	8	3	3	NUM
ijassa-1006	212	9	until	until	SCONJ
ijassa-1006	212	10	the	the	DET
ijassa-1006	212	11	𝑴𝒂𝒙𝒈𝒆𝒏	𝑴𝒂𝒙𝒈𝒆𝒏	PROPN
ijassa-1006	212	12	be	be	AUX
ijassa-1006	212	13	reached	reach	VERB
ijassa-1006	212	14	.	.	PUNCT
ijassa-1006	213	1	a	a	DET
ijassa-1006	213	2	novel	novel	ADJ
ijassa-1006	213	3	two	two	NUM
ijassa-1006	213	4	-	-	PUNCT
ijassa-1006	213	5	stage	stage	NOUN
ijassa-1006	213	6	hybrid	hybrid	ADJ
ijassa-1006	213	7	multi	multi	ADJ
ijassa-1006	213	8	-	-	ADJ
ijassa-1006	213	9	objective	objective	ADJ
ijassa-1006	213	10	differential	differential	ADJ
ijassa-1006	213	11	evolution	evolution	NOUN
ijassa-1006	213	12	…	…	PUNCT
ijassa-1006	213	13	163	163	NUM
ijassa-1006	213	14	copyright	copyright	NOUN
ijassa-1006	213	15	©	©	PROPN
ijassa-1006	213	16	2023	2023	NUM
ijassa-1006	213	17	assa	assa	NOUN
ijassa-1006	213	18	.	.	PUNCT
ijassa-1006	214	1	adv	adv	PROPN
ijassa-1006	214	2	.	.	PUNCT
ijassa-1006	215	1	in	in	ADP
ijassa-1006	215	2	systems	system	NOUN
ijassa-1006	215	3	science	science	NOUN
ijassa-1006	215	4	and	and	CCONJ
ijassa-1006	215	5	appl	appl	NOUN
ijassa-1006	215	6	.	.	PUNCT
ijassa-1006	216	1	(	(	PUNCT
ijassa-1006	216	2	2023	2023	NUM
ijassa-1006	216	3	)	)	PUNCT
ijassa-1006	216	4	4.2	4.2	NUM
ijassa-1006	216	5	.	.	PUNCT
ijassa-1006	216	6	initialization	initialization	NOUN
ijassa-1006	216	7	based	base	VERB
ijassa-1006	216	8	on	on	ADP
ijassa-1006	216	9	opposition	opposition	NOUN
ijassa-1006	216	10	learning	learn	VERB
ijassa-1006	216	11	random	random	ADJ
ijassa-1006	216	12	initialization	initialization	NOUN
ijassa-1006	216	13	,	,	PUNCT
ijassa-1006	216	14	in	in	ADP
ijassa-1006	216	15	the	the	DET
ijassa-1006	216	16	absence	absence	NOUN
ijassa-1006	216	17	of	of	ADP
ijassa-1006	216	18	a	a	DET
ijassa-1006	216	19	priori	priori	ADJ
ijassa-1006	216	20	knowledge	knowledge	NOUN
ijassa-1006	216	21	,	,	PUNCT
ijassa-1006	216	22	reduces	reduce	VERB
ijassa-1006	216	23	the	the	DET
ijassa-1006	216	24	chances	chance	NOUN
ijassa-1006	216	25	of	of	ADP
ijassa-1006	216	26	sampling	sample	VERB
ijassa-1006	216	27	better	well	ADJ
ijassa-1006	216	28	regions	region	NOUN
ijassa-1006	216	29	in	in	ADP
ijassa-1006	216	30	population	population	NOUN
ijassa-1006	216	31	-	-	PUNCT
ijassa-1006	216	32	based	base	VERB
ijassa-1006	216	33	algorithms	algorithm	NOUN
ijassa-1006	216	34	.	.	PUNCT
ijassa-1006	217	1	however	however	ADV
ijassa-1006	217	2	,	,	PUNCT
ijassa-1006	217	3	the	the	DET
ijassa-1006	217	4	use	use	NOUN
ijassa-1006	217	5	of	of	ADP
ijassa-1006	217	6	obl	obl	PROPN
ijassa-1006	217	7	can	can	AUX
ijassa-1006	217	8	obtain	obtain	VERB
ijassa-1006	217	9	more	more	ADV
ijassa-1006	217	10	suitable	suitable	ADJ
ijassa-1006	217	11	starting	start	VERB
ijassa-1006	217	12	candidates	candidate	NOUN
ijassa-1006	217	13	even	even	ADV
ijassa-1006	217	14	in	in	ADP
ijassa-1006	217	15	the	the	DET
ijassa-1006	217	16	absence	absence	NOUN
ijassa-1006	217	17	of	of	ADP
ijassa-1006	217	18	a	a	DET
ijassa-1006	217	19	priori	priori	ADJ
ijassa-1006	217	20	knowledge	knowledge	NOUN
ijassa-1006	217	21	and	and	CCONJ
ijassa-1006	217	22	increase	increase	VERB
ijassa-1006	217	23	the	the	DET
ijassa-1006	217	24	probability	probability	NOUN
ijassa-1006	217	25	of	of	ADP
ijassa-1006	217	26	detecting	detect	VERB
ijassa-1006	217	27	better	well	ADJ
ijassa-1006	217	28	regions	region	NOUN
ijassa-1006	217	29	.	.	PUNCT
ijassa-1006	218	1	obl	obl	PROPN
ijassa-1006	218	2	is	be	AUX
ijassa-1006	218	3	an	an	DET
ijassa-1006	218	4	effective	effective	ADJ
ijassa-1006	218	5	mechanism	mechanism	NOUN
ijassa-1006	218	6	in	in	ADP
ijassa-1006	218	7	the	the	DET
ijassa-1006	218	8	field	field	NOUN
ijassa-1006	218	9	of	of	ADP
ijassa-1006	218	10	optimization	optimization	NOUN
ijassa-1006	218	11	because	because	SCONJ
ijassa-1006	218	12	of	of	ADP
ijassa-1006	218	13	the	the	DET
ijassa-1006	218	14	promising	promising	ADJ
ijassa-1006	218	15	potential	potential	NOUN
ijassa-1006	218	16	to	to	PART
ijassa-1006	218	17	improve	improve	VERB
ijassa-1006	218	18	the	the	DET
ijassa-1006	218	19	performance	performance	NOUN
ijassa-1006	218	20	of	of	ADP
ijassa-1006	218	21	various	various	ADJ
ijassa-1006	218	22	optimization	optimization	NOUN
ijassa-1006	218	23	algorithms	algorithm	NOUN
ijassa-1006	218	24	,	,	PUNCT
ijassa-1006	218	25	including	include	VERB
ijassa-1006	218	26	kh	kh	PROPN
ijassa-1006	218	27	[	[	X
ijassa-1006	218	28	49	49	NUM
ijassa-1006	218	29	]	]	PUNCT
ijassa-1006	218	30	,	,	PUNCT
ijassa-1006	218	31	de	de	X
ijassa-1006	218	32	[	[	X
ijassa-1006	218	33	50	50	NUM
ijassa-1006	218	34	]	]	PUNCT
ijassa-1006	218	35	and	and	CCONJ
ijassa-1006	218	36	pso	pso	NOUN
ijassa-1006	218	37	[	[	X
ijassa-1006	218	38	51	51	NUM
ijassa-1006	218	39	]	]	PUNCT
ijassa-1006	218	40	.	.	PUNCT
ijassa-1006	219	1	the	the	DET
ijassa-1006	219	2	optimization	optimization	NOUN
ijassa-1006	219	3	based	base	VERB
ijassa-1006	219	4	on	on	ADP
ijassa-1006	219	5	the	the	DET
ijassa-1006	219	6	opposition	opposition	NOUN
ijassa-1006	219	7	:	:	PUNCT
ijassa-1006	219	8	let	let	VERB
ijassa-1006	219	9	𝑃	𝑃	VERB
ijassa-1006	219	10	(	(	PUNCT
ijassa-1006	219	11	𝑥	𝑥	NOUN
ijassa-1006	219	12	,	,	PUNCT
ijassa-1006	219	13	𝑥	𝑥	X
ijassa-1006	219	14	,	,	PUNCT
ijassa-1006	219	15	.	.	PUNCT
ijassa-1006	219	16	.	.	PUNCT
ijassa-1006	220	1	.	.	PUNCT
ijassa-1006	221	1	,	,	PUNCT
ijassa-1006	221	2	𝑥	𝑥	PROPN
ijassa-1006	221	3	)	)	PUNCT
ijassa-1006	221	4	,	,	PUNCT
ijassa-1006	221	5	a	a	DET
ijassa-1006	221	6	point	point	NOUN
ijassa-1006	221	7	in	in	ADP
ijassa-1006	221	8	a	a	DET
ijassa-1006	221	9	space	space	NOUN
ijassa-1006	221	10	of	of	ADP
ijassa-1006	221	11	dimensions	dimension	NOUN
ijassa-1006	221	12	𝐷	𝐷	PROPN
ijassa-1006	221	13	with	with	ADP
ijassa-1006	221	14	𝑥	𝑥	DET
ijassa-1006	221	15	∈	∈	PROPN
ijassa-1006	222	1	[	[	X
ijassa-1006	222	2	𝑎	𝑎	X
ijassa-1006	222	3	,	,	PUNCT
ijassa-1006	222	4	𝑏	𝑏	NOUN
ijassa-1006	222	5	]	]	PUNCT
ijassa-1006	222	6	(	(	PUNCT
ijassa-1006	222	7	𝑖	𝑖	SYM
ijassa-1006	222	8	=	=	SYM
ijassa-1006	222	9	1	1	NUM
ijassa-1006	222	10	,	,	PUNCT
ijassa-1006	222	11	2	2	NUM
ijassa-1006	222	12	,	,	PUNCT
ijassa-1006	222	13	.	.	PUNCT
ijassa-1006	222	14	.	.	PUNCT
ijassa-1006	222	15	.	.	PUNCT
ijassa-1006	223	1	,	,	PUNCT
ijassa-1006	223	2	𝐷	𝐷	NOUN
ijassa-1006	223	3	)	)	PUNCT
ijassa-1006	223	4	,	,	PUNCT
ijassa-1006	223	5	or	or	CCONJ
ijassa-1006	223	6	a	a	DET
ijassa-1006	223	7	candidate	candidate	NOUN
ijassa-1006	223	8	solution	solution	NOUN
ijassa-1006	223	9	.	.	PUNCT
ijassa-1006	224	1	suppose	suppose	VERB
ijassa-1006	224	2	𝑓	𝑓	DET
ijassa-1006	224	3	(	(	PUNCT
ijassa-1006	224	4	𝑥	𝑥	NOUN
ijassa-1006	224	5	)	)	PUNCT
ijassa-1006	224	6	is	be	AUX
ijassa-1006	224	7	a	a	DET
ijassa-1006	224	8	fitness	fitness	NOUN
ijassa-1006	224	9	function	function	NOUN
ijassa-1006	224	10	used	use	VERB
ijassa-1006	224	11	to	to	PART
ijassa-1006	224	12	measure	measure	VERB
ijassa-1006	224	13	candidate	candidate	NOUN
ijassa-1006	224	14	optimality	optimality	NOUN
ijassa-1006	224	15	.	.	PUNCT
ijassa-1006	225	1	according	accord	VERB
ijassa-1006	225	2	to	to	ADP
ijassa-1006	225	3	the	the	DET
ijassa-1006	225	4	definition	definition	NOUN
ijassa-1006	225	5	of	of	ADP
ijassa-1006	225	6	the	the	DET
ijassa-1006	225	7	opposite	opposite	ADJ
ijassa-1006	225	8	point	point	NOUN
ijassa-1006	225	9	,	,	PUNCT
ijassa-1006	225	10	𝑃	𝑃	PROPN
ijassa-1006	225	11	(	(	PUNCT
ijassa-1006	225	12	𝑥	𝑥	NOUN
ijassa-1006	225	13	,	,	PUNCT
ijassa-1006	225	14	𝑥	𝑥	X
ijassa-1006	225	15	,	,	PUNCT
ijassa-1006	225	16	.	.	PUNCT
ijassa-1006	225	17	.	.	PUNCT
ijassa-1006	225	18	.	.	PUNCT
ijassa-1006	226	1	,	,	PUNCT
ijassa-1006	226	2	𝑥	𝑥	PROPN
ijassa-1006	226	3	)	)	PUNCT
ijassa-1006	226	4	is	be	AUX
ijassa-1006	226	5	the	the	DET
ijassa-1006	226	6	opposite	opposite	NOUN
ijassa-1006	226	7	of	of	ADP
ijassa-1006	226	8	𝑃	𝑃	NOUN
ijassa-1006	226	9	(	(	PUNCT
ijassa-1006	226	10	𝑥	𝑥	NOUN
ijassa-1006	226	11	,	,	PUNCT
ijassa-1006	226	12	𝑥	𝑥	X
ijassa-1006	226	13	,	,	PUNCT
ijassa-1006	226	14	.	.	PUNCT
ijassa-1006	226	15	.	.	PUNCT
ijassa-1006	227	1	.	.	PUNCT
ijassa-1006	228	1	,	,	PUNCT
ijassa-1006	228	2	𝑥	𝑥	NOUN
ijassa-1006	228	3	)	)	PUNCT
ijassa-1006	228	4	.	.	PUNCT
ijassa-1006	229	1	if	if	SCONJ
ijassa-1006	229	2	𝑓	𝑓	PROPN
ijassa-1006	229	3	(	(	PUNCT
ijassa-1006	229	4	𝑃	𝑃	NOUN
ijassa-1006	229	5	)	)	PUNCT
ijassa-1006	229	6	is	be	AUX
ijassa-1006	229	7	better	well	ADJ
ijassa-1006	229	8	than	than	ADP
ijassa-1006	229	9	𝑓	𝑓	PRON
ijassa-1006	229	10	(	(	PUNCT
ijassa-1006	229	11	𝑃	𝑃	NOUN
ijassa-1006	229	12	)	)	PUNCT
ijassa-1006	229	13	,	,	PUNCT
ijassa-1006	229	14	then	then	ADV
ijassa-1006	229	15	point	point	VERB
ijassa-1006	229	16	𝑃	𝑃	NOUN
ijassa-1006	229	17	can	can	AUX
ijassa-1006	229	18	be	be	AUX
ijassa-1006	229	19	replaced	replace	VERB
ijassa-1006	229	20	by	by	ADP
ijassa-1006	229	21	𝑃	𝑃	NOUN
ijassa-1006	229	22	;	;	PUNCT
ijassa-1006	229	23	otherwise	otherwise	ADV
ijassa-1006	229	24	,	,	PUNCT
ijassa-1006	229	25	we	we	PRON
ijassa-1006	229	26	continue	continue	VERB
ijassa-1006	229	27	with	with	ADP
ijassa-1006	229	28	𝑃.	𝑃.	PROPN
ijassa-1006	229	29	therefore	therefore	ADV
ijassa-1006	229	30	,	,	PUNCT
ijassa-1006	229	31	the	the	DET
ijassa-1006	229	32	point	point	NOUN
ijassa-1006	229	33	and	and	CCONJ
ijassa-1006	229	34	its	its	PRON
ijassa-1006	229	35	opposite	opposite	ADJ
ijassa-1006	229	36	point	point	NOUN
ijassa-1006	229	37	are	be	AUX
ijassa-1006	229	38	evaluated	evaluate	VERB
ijassa-1006	229	39	simultaneously	simultaneously	ADV
ijassa-1006	229	40	to	to	PART
ijassa-1006	229	41	continue	continue	VERB
ijassa-1006	229	42	with	with	ADP
ijassa-1006	229	43	the	the	DET
ijassa-1006	229	44	adjuster	adjuster	NOUN
ijassa-1006	229	45	[	[	X
ijassa-1006	229	46	52	52	NUM
ijassa-1006	229	47	]	]	PUNCT
ijassa-1006	229	48	.	.	PUNCT
ijassa-1006	230	1	inspired	inspire	VERB
ijassa-1006	230	2	by	by	ADP
ijassa-1006	230	3	the	the	DET
ijassa-1006	230	4	idea	idea	NOUN
ijassa-1006	230	5	of	of	ADP
ijassa-1006	230	6	[	[	X
ijassa-1006	230	7	49	49	NUM
ijassa-1006	230	8	]	]	PUNCT
ijassa-1006	230	9	,	,	PUNCT
ijassa-1006	230	10	we	we	PRON
ijassa-1006	230	11	conduct	conduct	VERB
ijassa-1006	230	12	here	here	ADV
ijassa-1006	230	13	a	a	DET
ijassa-1006	230	14	new	new	ADJ
ijassa-1006	230	15	method	method	NOUN
ijassa-1006	230	16	for	for	ADP
ijassa-1006	230	17	initializing	initialize	VERB
ijassa-1006	230	18	mode	mode	NOUN
ijassa-1006	230	19	with	with	ADP
ijassa-1006	230	20	obl	obl	PROPN
ijassa-1006	230	21	,	,	PUNCT
ijassa-1006	230	22	which	which	PRON
ijassa-1006	230	23	is	be	AUX
ijassa-1006	230	24	different	different	ADJ
ijassa-1006	230	25	from	from	ADP
ijassa-1006	230	26	the	the	DET
ijassa-1006	230	27	survival	survival	NOUN
ijassa-1006	230	28	selection	selection	NOUN
ijassa-1006	230	29	in	in	ADP
ijassa-1006	230	30	previous	previous	ADJ
ijassa-1006	230	31	obl	obl	ADV
ijassa-1006	230	32	-	-	PUNCT
ijassa-1006	230	33	based	base	VERB
ijassa-1006	230	34	algorithms	algorithm	NOUN
ijassa-1006	230	35	(	(	PUNCT
ijassa-1006	230	36	including	include	VERB
ijassa-1006	230	37	obl	obl	PROPN
ijassa-1006	230	38	strategies	strategy	NOUN
ijassa-1006	230	39	choose	choose	VERB
ijassa-1006	230	40	the	the	DET
ijassa-1006	230	41	best	good	ADJ
ijassa-1006	230	42	𝑁	𝑁	ADJ
ijassa-1006	230	43	individuals	individual	NOUN
ijassa-1006	230	44	among	among	ADP
ijassa-1006	230	45	the	the	DET
ijassa-1006	230	46	original	original	ADJ
ijassa-1006	230	47	𝑁	𝑁	PROPN
ijassa-1006	230	48	individuals	individual	NOUN
ijassa-1006	230	49	and	and	CCONJ
ijassa-1006	230	50	the	the	DET
ijassa-1006	230	51	opposite	opposite	ADJ
ijassa-1006	230	52	𝑁	𝑁	PROPN
ijassa-1006	230	53	individuals	individual	NOUN
ijassa-1006	230	54	in	in	ADP
ijassa-1006	230	55	initialization	initialization	NOUN
ijassa-1006	230	56	)	)	PUNCT
ijassa-1006	230	57	.	.	PUNCT
ijassa-1006	231	1	the	the	DET
ijassa-1006	231	2	main	main	ADJ
ijassa-1006	231	3	steps	step	NOUN
ijassa-1006	231	4	to	to	PART
ijassa-1006	231	5	explain	explain	VERB
ijassa-1006	231	6	this	this	DET
ijassa-1006	231	7	procedure	procedure	NOUN
ijassa-1006	231	8	are	be	AUX
ijassa-1006	231	9	given	give	VERB
ijassa-1006	231	10	as	as	SCONJ
ijassa-1006	231	11	shown	show	VERB
ijassa-1006	231	12	in	in	ADP
ijassa-1006	231	13	figure	figure	NOUN
ijassa-1006	231	14	4.1	4.1	NUM
ijassa-1006	231	15	:	:	PUNCT
ijassa-1006	231	16	step	step	NOUN
ijassa-1006	231	17	1	1	NUM
ijassa-1006	231	18	:	:	PUNCT
ijassa-1006	231	19	divide	divide	VERB
ijassa-1006	231	20	the	the	DET
ijassa-1006	231	21	population	population	NOUN
ijassa-1006	231	22	𝑃	𝑃	NOUN
ijassa-1006	231	23	(	(	PUNCT
ijassa-1006	231	24	𝑁	𝑁	PROPN
ijassa-1006	231	25	)	)	PUNCT
ijassa-1006	231	26	into	into	ADP
ijassa-1006	231	27	two	two	NUM
ijassa-1006	231	28	parts	part	NOUN
ijassa-1006	231	29	,	,	PUNCT
ijassa-1006	231	30	the	the	DET
ijassa-1006	231	31	first	first	ADJ
ijassa-1006	231	32	half	half	NOUN
ijassa-1006	231	33	of	of	ADP
ijassa-1006	231	34	the	the	DET
ijassa-1006	231	35	population	population	NOUN
ijassa-1006	231	36	𝑃	𝑃	NOUN
ijassa-1006	231	37	is	be	AUX
ijassa-1006	231	38	generated	generate	VERB
ijassa-1006	231	39	by	by	ADP
ijassa-1006	231	40	a	a	DET
ijassa-1006	231	41	random	random	ADJ
ijassa-1006	231	42	distribution	distribution	NOUN
ijassa-1006	231	43	.	.	PUNCT
ijassa-1006	232	1	step	step	NOUN
ijassa-1006	232	2	2	2	NUM
ijassa-1006	232	3	:	:	PUNCT
ijassa-1006	232	4	the	the	DET
ijassa-1006	232	5	remaining	remain	VERB
ijassa-1006	232	6	half	half	NOUN
ijassa-1006	232	7	of	of	ADP
ijassa-1006	232	8	the	the	DET
ijassa-1006	232	9	population	population	NOUN
ijassa-1006	232	10	𝑃	𝑃	NOUN
ijassa-1006	232	11	is	be	AUX
ijassa-1006	232	12	initialized	initialize	VERB
ijassa-1006	232	13	in	in	ADP
ijassa-1006	232	14	terms	term	NOUN
ijassa-1006	232	15	of	of	ADP
ijassa-1006	232	16	obls	obls	NOUN
ijassa-1006	232	17	,	,	PUNCT
ijassa-1006	232	18	as	as	SCONJ
ijassa-1006	232	19	shown	show	VERB
ijassa-1006	232	20	in	in	ADP
ijassa-1006	232	21	section	section	NOUN
ijassa-1006	232	22	4.2	4.2	NUM
ijassa-1006	232	23	:	:	PUNCT
ijassa-1006	233	1	𝑃	𝑃	NOUN
ijassa-1006	233	2	=	=	PUNCT
ijassa-1006	233	3	𝑎	𝑎	PROPN
ijassa-1006	233	4	+	+	NOUN
ijassa-1006	233	5	𝑏	𝑏	NOUN
ijassa-1006	233	6	−	−	NOUN
ijassa-1006	233	7	𝑃	𝑃	NOUN
ijassa-1006	233	8	,	,	PUNCT
ijassa-1006	233	9	(	(	PUNCT
ijassa-1006	233	10	4.3	4.3	NUM
ijassa-1006	233	11	)	)	PUNCT
ijassa-1006	234	1	where	where	SCONJ
ijassa-1006	234	2	(	(	PUNCT
ijassa-1006	234	3	𝑖	𝑖	NOUN
ijassa-1006	234	4	=	=	SYM
ijassa-1006	234	5	1	1	NUM
ijassa-1006	234	6	,	,	PUNCT
ijassa-1006	234	7	2	2	NUM
ijassa-1006	234	8	,	,	PUNCT
ijassa-1006	234	9	.	.	PUNCT
ijassa-1006	234	10	.	.	PUNCT
ijassa-1006	234	11	.	.	PUNCT
ijassa-1006	234	12	,	,	PUNCT
ijassa-1006	234	13	𝐷	𝐷	NOUN
ijassa-1006	234	14	)	)	PUNCT
ijassa-1006	234	15	step	step	NOUN
ijassa-1006	234	16	3	3	NUM
ijassa-1006	234	17	:	:	PUNCT
ijassa-1006	234	18	the	the	DET
ijassa-1006	234	19	set	set	NOUN
ijassa-1006	234	20	𝑃	𝑃	NOUN
ijassa-1006	234	21	∪	∪	ADJ
ijassa-1006	234	22	𝑃	𝑃	NOUN
ijassa-1006	234	23	is	be	AUX
ijassa-1006	234	24	restructured	restructure	VERB
ijassa-1006	234	25	as	as	ADP
ijassa-1006	234	26	the	the	DET
ijassa-1006	234	27	initial	initial	ADJ
ijassa-1006	234	28	population	population	NOUN
ijassa-1006	234	29	𝑁	𝑁	PROPN
ijassa-1006	234	30	.	.	PUNCT
ijassa-1006	234	31	fig	fig	PROPN
ijassa-1006	234	32	4.1	4.1	NUM
ijassa-1006	234	33	.	.	PUNCT
ijassa-1006	235	1	obl	obl	ADV
ijassa-1006	235	2	-	-	PUNCT
ijassa-1006	235	3	based	base	VERB
ijassa-1006	235	4	initialization	initialization	NOUN
ijassa-1006	235	5	strategy	strategy	NOUN
ijassa-1006	235	6	in	in	ADP
ijassa-1006	235	7	mode	mode	NOUN
ijassa-1006	235	8	the	the	DET
ijassa-1006	235	9	obl	obl	PROPN
ijassa-1006	235	10	strategy	strategy	NOUN
ijassa-1006	235	11	used	use	VERB
ijassa-1006	235	12	in	in	ADP
ijassa-1006	235	13	our	our	PRON
ijassa-1006	235	14	proposed	propose	VERB
ijassa-1006	235	15	algorithm	algorithm	NOUN
ijassa-1006	235	16	is	be	AUX
ijassa-1006	235	17	different	different	ADJ
ijassa-1006	235	18	from	from	ADP
ijassa-1006	235	19	the	the	DET
ijassa-1006	235	20	traditional	traditional	ADJ
ijassa-1006	235	21	obl	obl	NOUN
ijassa-1006	235	22	based	base	VERB
ijassa-1006	235	23	algorithm	algorithm	NOUN
ijassa-1006	235	24	.	.	PUNCT
ijassa-1006	236	1	regarding	regard	VERB
ijassa-1006	236	2	initialization	initialization	NOUN
ijassa-1006	236	3	,	,	PUNCT
ijassa-1006	236	4	the	the	DET
ijassa-1006	236	5	traditional	traditional	ADJ
ijassa-1006	236	6	obl	obl	PROPN
ijassa-1006	236	7	strategy	strategy	NOUN
ijassa-1006	236	8	first	first	ADV
ijassa-1006	236	9	initializes	initialize	VERB
ijassa-1006	236	10	the	the	DET
ijassa-1006	236	11	population	population	NOUN
ijassa-1006	236	12	at	at	ADP
ijassa-1006	236	13	random	random	ADJ
ijassa-1006	236	14	,	,	PUNCT
ijassa-1006	236	15	then	then	ADV
ijassa-1006	236	16	calculates	calculate	VERB
ijassa-1006	236	17	the	the	DET
ijassa-1006	236	18	opposite	opposite	ADJ
ijassa-1006	236	19	population	population	NOUN
ijassa-1006	236	20	.	.	PUNCT
ijassa-1006	237	1	while	while	SCONJ
ijassa-1006	237	2	the	the	DET
ijassa-1006	237	3	obl	obl	PROPN
ijassa-1006	237	4	operation	operation	NOUN
ijassa-1006	237	5	in	in	ADP
ijassa-1006	237	6	our	our	PRON
ijassa-1006	237	7	proposed	propose	VERB
ijassa-1006	237	8	algorithm	algorithm	NOUN
ijassa-1006	237	9	first	first	ADV
ijassa-1006	237	10	divides	divide	VERB
ijassa-1006	237	11	the	the	DET
ijassa-1006	237	12	population	population	NOUN
ijassa-1006	237	13	into	into	ADP
ijassa-1006	237	14	two	two	NUM
ijassa-1006	237	15	parts	part	NOUN
ijassa-1006	237	16	,	,	PUNCT
ijassa-1006	237	17	then	then	ADV
ijassa-1006	237	18	randomly	randomly	ADV
ijassa-1006	237	19	generates	generate	VERB
ijassa-1006	237	20	and	and	CCONJ
ijassa-1006	237	21	calculates	calculate	VERB
ijassa-1006	237	22	the	the	DET
ijassa-1006	237	23	inverse	inverse	NOUN
ijassa-1006	237	24	respectively	respectively	ADV
ijassa-1006	237	25	,	,	PUNCT
ijassa-1006	237	26	which	which	PRON
ijassa-1006	237	27	can	can	AUX
ijassa-1006	237	28	obtain	obtain	VERB
ijassa-1006	237	29	more	more	ADV
ijassa-1006	237	30	suitable	suitable	ADJ
ijassa-1006	237	31	starting	start	VERB
ijassa-1006	237	32	candidates	candidate	NOUN
ijassa-1006	237	33	when	when	SCONJ
ijassa-1006	237	34	there	there	PRON
ijassa-1006	237	35	is	be	VERB
ijassa-1006	237	36	no	no	DET
ijassa-1006	237	37	a	a	DET
ijassa-1006	237	38	priori	priori	ADJ
ijassa-1006	237	39	knowledge	knowledge	NOUN
ijassa-1006	237	40	of	of	ADP
ijassa-1006	237	41	the	the	DET
ijassa-1006	237	42	solution	solution	NOUN
ijassa-1006	237	43	.	.	PUNCT
ijassa-1006	238	1	also	also	ADV
ijassa-1006	238	2	,	,	PUNCT
ijassa-1006	238	3	after	after	ADP
ijassa-1006	238	4	the	the	DET
ijassa-1006	238	5	above	above	ADJ
ijassa-1006	238	6	steps	step	NOUN
ijassa-1006	238	7	in	in	ADP
ijassa-1006	238	8	generation	generation	NOUN
ijassa-1006	238	9	and	and	CCONJ
ijassa-1006	238	10	opposite	opposite	ADJ
ijassa-1006	238	11	calculation	calculation	NOUN
ijassa-1006	238	12	,	,	PUNCT
ijassa-1006	238	13	the	the	DET
ijassa-1006	238	14	two	two	NUM
ijassa-1006	238	15	subpopulations	subpopulation	NOUN
ijassa-1006	238	16	are	be	AUX
ijassa-1006	238	17	made	make	VERB
ijassa-1006	238	18	up	up	ADP
ijassa-1006	238	19	of	of	ADP
ijassa-1006	238	20	one	one	NUM
ijassa-1006	238	21	population	population	NOUN
ijassa-1006	238	22	,	,	PUNCT
ijassa-1006	238	23	which	which	PRON
ijassa-1006	238	24	can	can	AUX
ijassa-1006	238	25	164	164	NUM
ijassa-1006	238	26	n.	n.	NOUN
ijassa-1006	238	27	boukhari	boukhari	NOUN
ijassa-1006	238	28	,	,	PUNCT
ijassa-1006	238	29	m.	m.	NOUN
ijassa-1006	238	30	a.	a.	NOUN
ijassa-1006	238	31	nemmich	nemmich	PROPN
ijassa-1006	238	32	,	,	PUNCT
ijassa-1006	238	33	f.	f.	PROPN
ijassa-1006	238	34	debbat	debbat	PROPN
ijassa-1006	238	35	,	,	PUNCT
ijassa-1006	238	36	n.	n.	NOUN
ijassa-1006	238	37	monmarché	monmarché	NOUN
ijassa-1006	238	38	,	,	PUNCT
ijassa-1006	239	1	m.	m.	NOUN
ijassa-1006	239	2	slimane	slimane	PROPN
ijassa-1006	239	3	copyright	copyright	NOUN
ijassa-1006	240	1	©	©	PROPN
ijassa-1006	240	2	0000	0000	NUM
ijassa-1006	240	3	assa	assa	PROPN
ijassa-1006	240	4	adv	adv	PROPN
ijassa-1006	240	5	.	.	PUNCT
ijassa-1006	241	1	in	in	ADP
ijassa-1006	241	2	systems	system	NOUN
ijassa-1006	241	3	science	science	NOUN
ijassa-1006	241	4	and	and	CCONJ
ijassa-1006	241	5	appl	appl	NOUN
ijassa-1006	241	6	.	.	PUNCT
ijassa-1006	242	1	(	(	PUNCT
ijassa-1006	242	2	0000	0000	NUM
ijassa-1006	242	3	)	)	PUNCT
ijassa-1006	242	4	make	make	VERB
ijassa-1006	242	5	the	the	DET
ijassa-1006	242	6	population	population	NOUN
ijassa-1006	242	7	size	size	VERB
ijassa-1006	242	8	unchanged	unchanged	ADJ
ijassa-1006	242	9	in	in	ADP
ijassa-1006	242	10	the	the	DET
ijassa-1006	242	11	optimization	optimization	NOUN
ijassa-1006	242	12	process	process	NOUN
ijassa-1006	242	13	and	and	CCONJ
ijassa-1006	242	14	help	help	VERB
ijassa-1006	242	15	the	the	DET
ijassa-1006	242	16	algorithm	algorithm	NOUN
ijassa-1006	242	17	to	to	PART
ijassa-1006	242	18	operate	operate	VERB
ijassa-1006	242	19	efficiently	efficiently	ADV
ijassa-1006	242	20	.	.	PUNCT
ijassa-1006	243	1	as	as	ADP
ijassa-1006	243	2	for	for	ADP
ijassa-1006	243	3	the	the	DET
ijassa-1006	243	4	use	use	NOUN
ijassa-1006	243	5	of	of	ADP
ijassa-1006	243	6	obl	obl	NOUN
ijassa-1006	243	7	in	in	ADP
ijassa-1006	243	8	the	the	DET
ijassa-1006	243	9	evolutionary	evolutionary	ADJ
ijassa-1006	243	10	phase	phase	NOUN
ijassa-1006	243	11	,	,	PUNCT
ijassa-1006	243	12	traditional	traditional	ADJ
ijassa-1006	243	13	obl	obl	ADV
ijassa-1006	243	14	-	-	PUNCT
ijassa-1006	243	15	based	base	VERB
ijassa-1006	243	16	algorithms	algorithm	NOUN
ijassa-1006	243	17	can	can	AUX
ijassa-1006	243	18	apply	apply	VERB
ijassa-1006	243	19	the	the	DET
ijassa-1006	243	20	obl	obl	NOUN
ijassa-1006	243	21	in	in	ADP
ijassa-1006	243	22	the	the	DET
ijassa-1006	243	23	evolutionary	evolutionary	ADJ
ijassa-1006	243	24	phase	phase	NOUN
ijassa-1006	243	25	with	with	ADP
ijassa-1006	243	26	a	a	DET
ijassa-1006	243	27	jump	jump	NOUN
ijassa-1006	243	28	rate	rate	NOUN
ijassa-1006	243	29	or	or	CCONJ
ijassa-1006	243	30	a	a	DET
ijassa-1006	243	31	jump	jump	NOUN
ijassa-1006	243	32	probability	probability	NOUN
ijassa-1006	243	33	.	.	PUNCT
ijassa-1006	244	1	however	however	ADV
ijassa-1006	244	2	,	,	PUNCT
ijassa-1006	244	3	the	the	DET
ijassa-1006	244	4	proposed	propose	VERB
ijassa-1006	244	5	mode	mode	NOUN
ijassa-1006	244	6	obl	obl	PROPN
ijassa-1006	244	7	directly	directly	ADV
ijassa-1006	244	8	calculates	calculate	VERB
ijassa-1006	244	9	the	the	DET
ijassa-1006	244	10	opposite	opposite	NOUN
ijassa-1006	244	11	without	without	ADP
ijassa-1006	244	12	the	the	DET
ijassa-1006	244	13	jump	jump	NOUN
ijassa-1006	244	14	rate	rate	NOUN
ijassa-1006	244	15	,	,	PUNCT
ijassa-1006	244	16	which	which	PRON
ijassa-1006	244	17	can	can	AUX
ijassa-1006	244	18	increase	increase	VERB
ijassa-1006	244	19	the	the	DET
ijassa-1006	244	20	likelihood	likelihood	NOUN
ijassa-1006	244	21	of	of	ADP
ijassa-1006	244	22	effectively	effectively	ADV
ijassa-1006	244	23	detecting	detect	VERB
ijassa-1006	244	24	better	well	ADJ
ijassa-1006	244	25	regions	region	NOUN
ijassa-1006	244	26	and	and	CCONJ
ijassa-1006	244	27	reduce	reduce	VERB
ijassa-1006	244	28	complex	complex	ADJ
ijassa-1006	244	29	setting	setting	NOUN
ijassa-1006	244	30	,	,	PUNCT
ijassa-1006	244	31	especially	especially	ADV
ijassa-1006	244	32	for	for	ADP
ijassa-1006	244	33	the	the	DET
ijassa-1006	244	34	real	real	ADJ
ijassa-1006	244	35	-	-	PUNCT
ijassa-1006	244	36	world	world	NOUN
ijassa-1006	244	37	problem	problem	NOUN
ijassa-1006	244	38	.	.	PUNCT
ijassa-1006	245	1	this	this	DET
ijassa-1006	245	2	strategy	strategy	NOUN
ijassa-1006	245	3	is	be	AUX
ijassa-1006	245	4	used	use	VERB
ijassa-1006	245	5	to	to	PART
ijassa-1006	245	6	accelerate	accelerate	VERB
ijassa-1006	245	7	convergence	convergence	NOUN
ijassa-1006	245	8	when	when	SCONJ
ijassa-1006	245	9	there	there	PRON
ijassa-1006	245	10	is	be	VERB
ijassa-1006	245	11	no	no	DET
ijassa-1006	245	12	prior	prior	ADJ
ijassa-1006	245	13	knowledge	knowledge	NOUN
ijassa-1006	245	14	of	of	ADP
ijassa-1006	245	15	solutions	solution	NOUN
ijassa-1006	245	16	,	,	PUNCT
ijassa-1006	245	17	thus	thus	ADV
ijassa-1006	245	18	achieving	achieve	VERB
ijassa-1006	245	19	better	well	ADJ
ijassa-1006	245	20	solutions	solution	NOUN
ijassa-1006	245	21	more	more	ADV
ijassa-1006	245	22	quickly	quickly	ADV
ijassa-1006	245	23	.	.	PUNCT
ijassa-1006	246	1	4.3	4.3	NUM
ijassa-1006	246	2	.	.	PUNCT
ijassa-1006	246	3	jumping	jump	VERB
ijassa-1006	246	4	generation	generation	NOUN
ijassa-1006	246	5	based	base	VERB
ijassa-1006	246	6	on	on	ADP
ijassa-1006	246	7	opposition	opposition	NOUN
ijassa-1006	246	8	in	in	ADP
ijassa-1006	246	9	order	order	NOUN
ijassa-1006	246	10	to	to	PART
ijassa-1006	246	11	improve	improve	VERB
ijassa-1006	246	12	overall	overall	ADJ
ijassa-1006	246	13	convergence	convergence	NOUN
ijassa-1006	246	14	and	and	CCONJ
ijassa-1006	246	15	avoid	avoid	VERB
ijassa-1006	246	16	sub	sub	ADJ
ijassa-1006	246	17	-	-	ADJ
ijassa-1006	246	18	optimal	optimal	ADJ
ijassa-1006	246	19	solutions	solution	NOUN
ijassa-1006	246	20	,	,	PUNCT
ijassa-1006	246	21	the	the	DET
ijassa-1006	246	22	obl	obl	PROPN
ijassa-1006	246	23	technique	technique	NOUN
ijassa-1006	246	24	is	be	AUX
ijassa-1006	246	25	reapplied	reapplie	VERB
ijassa-1006	246	26	to	to	ADP
ijassa-1006	246	27	the	the	DET
ijassa-1006	246	28	current	current	ADJ
ijassa-1006	246	29	population	population	NOUN
ijassa-1006	246	30	.	.	PUNCT
ijassa-1006	247	1	at	at	ADP
ijassa-1006	247	2	this	this	DET
ijassa-1006	247	3	point	point	NOUN
ijassa-1006	247	4	,	,	PUNCT
ijassa-1006	247	5	if	if	SCONJ
ijassa-1006	247	6	the	the	DET
ijassa-1006	247	7	jump	jump	NOUN
ijassa-1006	247	8	condition	condition	NOUN
ijassa-1006	247	9	is	be	AUX
ijassa-1006	247	10	satisfied	satisfied	ADJ
ijassa-1006	247	11	:	:	PUNCT
ijassa-1006	247	12	𝑗	𝑗	PRON
ijassa-1006	247	13	𝑟𝑎𝑛𝑑	𝑟𝑎𝑛𝑑	NOUN
ijassa-1006	247	14	(	(	PUNCT
ijassa-1006	247	15	)	)	PUNCT
ijassa-1006	247	16	≤	≤	NOUN
ijassa-1006	247	17	−	−	PROPN
ijassa-1006	248	1	+	+	CCONJ
ijassa-1006	248	2	2	2	NUM
ijassa-1006	248	3	,	,	PUNCT
ijassa-1006	248	4	(	(	PUNCT
ijassa-1006	248	5	4.4	4.4	NUM
ijassa-1006	248	6	)	)	PUNCT
ijassa-1006	248	7	where	where	SCONJ
ijassa-1006	248	8	𝐺𝑒𝑛	𝐺𝑒𝑛	PROPN
ijassa-1006	248	9	and	and	CCONJ
ijassa-1006	248	10	𝐺	𝐺	PROPN
ijassa-1006	248	11	are	be	AUX
ijassa-1006	248	12	the	the	DET
ijassa-1006	248	13	current	current	ADJ
ijassa-1006	248	14	and	and	CCONJ
ijassa-1006	248	15	maximum	maximum	ADJ
ijassa-1006	248	16	generations	generation	NOUN
ijassa-1006	248	17	respectively	respectively	ADV
ijassa-1006	248	18	[	[	X
ijassa-1006	248	19	45	45	NUM
ijassa-1006	248	20	]	]	PUNCT
ijassa-1006	248	21	.	.	PUNCT
ijassa-1006	249	1	the	the	DET
ijassa-1006	249	2	corresponding	correspond	VERB
ijassa-1006	249	3	opposition	opposition	NOUN
ijassa-1006	249	4	population	population	NOUN
ijassa-1006	249	5	is	be	AUX
ijassa-1006	249	6	calculated	calculate	VERB
ijassa-1006	249	7	by	by	ADP
ijassa-1006	249	8	forcing	force	VERB
ijassa-1006	249	9	current	current	ADJ
ijassa-1006	249	10	one	one	NOUN
ijassa-1006	249	11	to	to	PART
ijassa-1006	249	12	pass	pass	VERB
ijassa-1006	249	13	to	to	ADP
ijassa-1006	249	14	a	a	DET
ijassa-1006	249	15	new	new	ADJ
ijassa-1006	249	16	solution	solution	NOUN
ijassa-1006	249	17	.	.	PUNCT
ijassa-1006	250	1	after	after	ADP
ijassa-1006	250	2	that	that	PRON
ijassa-1006	250	3	,	,	PUNCT
ijassa-1006	250	4	the	the	DET
ijassa-1006	250	5	fittest	fit	ADJ
ijassa-1006	250	6	𝑁	𝑁	ADJ
ijassa-1006	250	7	individuals	individual	NOUN
ijassa-1006	250	8	are	be	AUX
ijassa-1006	250	9	selected	select	VERB
ijassa-1006	250	10	from	from	ADP
ijassa-1006	250	11	the	the	DET
ijassa-1006	250	12	combined	combine	VERB
ijassa-1006	250	13	population	population	NOUN
ijassa-1006	250	14	of	of	ADP
ijassa-1006	250	15	the	the	DET
ijassa-1006	250	16	current	current	ADJ
ijassa-1006	250	17	population	population	NOUN
ijassa-1006	250	18	and	and	CCONJ
ijassa-1006	250	19	the	the	DET
ijassa-1006	250	20	opposition	opposition	NOUN
ijassa-1006	250	21	as	as	ADP
ijassa-1006	250	22	the	the	DET
ijassa-1006	250	23	current	current	ADJ
ijassa-1006	250	24	population	population	NOUN
ijassa-1006	250	25	for	for	ADP
ijassa-1006	250	26	the	the	DET
ijassa-1006	250	27	next	next	ADJ
ijassa-1006	250	28	generation	generation	NOUN
ijassa-1006	250	29	.	.	PUNCT
ijassa-1006	251	1	unlike	unlike	ADP
ijassa-1006	251	2	the	the	DET
ijassa-1006	251	3	process	process	NOUN
ijassa-1006	251	4	of	of	ADP
ijassa-1006	251	5	the	the	DET
ijassa-1006	251	6	opposition	opposition	NOUN
ijassa-1006	251	7	-	-	PUNCT
ijassa-1006	251	8	based	base	VERB
ijassa-1006	251	9	initialization	initialization	NOUN
ijassa-1006	251	10	phase	phase	NOUN
ijassa-1006	251	11	,	,	PUNCT
ijassa-1006	251	12	the	the	DET
ijassa-1006	251	13	generation	generation	NOUN
ijassa-1006	251	14	jump	jump	NOUN
ijassa-1006	251	15	computes	compute	VERB
ijassa-1006	251	16	the	the	DET
ijassa-1006	251	17	opposition	opposition	NOUN
ijassa-1006	251	18	population	population	NOUN
ijassa-1006	251	19	dynamically	dynamically	ADV
ijassa-1006	251	20	.	.	PUNCT
ijassa-1006	252	1	instead	instead	ADV
ijassa-1006	252	2	of	of	ADP
ijassa-1006	252	3	using	use	VERB
ijassa-1006	252	4	the	the	DET
ijassa-1006	252	5	predefined	predefine	VERB
ijassa-1006	252	6	interval	interval	NOUN
ijassa-1006	252	7	limits	limit	NOUN
ijassa-1006	252	8	of	of	ADP
ijassa-1006	252	9	the	the	DET
ijassa-1006	252	10	variables	variable	NOUN
ijassa-1006	253	1	[	[	X
ijassa-1006	253	2	𝐿𝐵	𝐿𝐵	PROPN
ijassa-1006	253	3	,	,	PUNCT
ijassa-1006	253	4	𝑈𝐵	𝑈𝐵	PROPN
ijassa-1006	253	5	]	]	PUNCT
ijassa-1006	253	6	,	,	PUNCT
ijassa-1006	253	7	the	the	DET
ijassa-1006	253	8	generation	generation	NOUN
ijassa-1006	253	9	jump	jump	NOUN
ijassa-1006	253	10	calculates	calculate	VERB
ijassa-1006	253	11	the	the	DET
ijassa-1006	253	12	opposite	opposite	NOUN
ijassa-1006	253	13	of	of	ADP
ijassa-1006	253	14	each	each	DET
ijassa-1006	253	15	variable	variable	NOUN
ijassa-1006	253	16	based	base	VERB
ijassa-1006	253	17	on	on	ADP
ijassa-1006	253	18	the	the	DET
ijassa-1006	253	19	minimum	minimum	ADJ
ijassa-1006	253	20	values	value	NOUN
ijassa-1006	253	21	𝑀𝑖𝑛	𝑀𝑖𝑛	PROPN
ijassa-1006	253	22	and	and	CCONJ
ijassa-1006	253	23	maximum	maximum	ADJ
ijassa-1006	253	24	𝑀𝑎𝑥	𝑀𝑎𝑥	PROPN
ijassa-1006	253	25	for	for	ADP
ijassa-1006	253	26	this	this	DET
ijassa-1006	253	27	variable	variable	NOUN
ijassa-1006	253	28	in	in	ADP
ijassa-1006	253	29	the	the	DET
ijassa-1006	253	30	current	current	ADJ
ijassa-1006	253	31	population	population	NOUN
ijassa-1006	253	32	.	.	PUNCT
ijassa-1006	254	1	𝑋	𝑋	NOUN
ijassa-1006	254	2	,	,	PUNCT
ijassa-1006	254	3	,	,	PUNCT
ijassa-1006	254	4	=	=	PROPN
ijassa-1006	254	5	𝑀𝑖𝑛	𝑀𝑖𝑛	PROPN
ijassa-1006	254	6	+	+	CCONJ
ijassa-1006	254	7	𝑀𝑎𝑥	𝑀𝑎𝑥	PROPN
ijassa-1006	254	8	−	−	PROPN
ijassa-1006	254	9	𝑥	𝑥	NOUN
ijassa-1006	254	10	,	,	PUNCT
ijassa-1006	254	11	,	,	PUNCT
ijassa-1006	254	12	𝑤ℎ𝑒𝑟𝑒	𝑤ℎ𝑒𝑟𝑒	NOUN
ijassa-1006	254	13	𝑗	𝑗	X
ijassa-1006	254	14	=	=	SYM
ijassa-1006	254	15	1	1	NUM
ijassa-1006	254	16	,	,	PUNCT
ijassa-1006	254	17	…	…	PUNCT
ijassa-1006	254	18	,	,	PUNCT
ijassa-1006	254	19	𝐷	𝐷	NOUN
ijassa-1006	254	20	;	;	PUNCT
ijassa-1006	254	21	𝑖	𝑖	SYM
ijassa-1006	254	22	=	=	SYM
ijassa-1006	254	23	1	1	NUM
ijassa-1006	254	24	,	,	PUNCT
ijassa-1006	254	25	…	…	PUNCT
ijassa-1006	254	26	,	,	PUNCT
ijassa-1006	254	27	𝑁	𝑁	PROPN
ijassa-1006	254	28	(	(	PUNCT
ijassa-1006	254	29	4.5	4.5	NUM
ijassa-1006	254	30	)	)	PUNCT
ijassa-1006	254	31	by	by	ADP
ijassa-1006	254	32	remaining	remain	VERB
ijassa-1006	254	33	within	within	ADP
ijassa-1006	254	34	the	the	DET
ijassa-1006	254	35	static	static	ADJ
ijassa-1006	254	36	limits	limit	NOUN
ijassa-1006	254	37	of	of	ADP
ijassa-1006	254	38	the	the	DET
ijassa-1006	254	39	interval	interval	NOUN
ijassa-1006	254	40	of	of	ADP
ijassa-1006	254	41	variables	variable	NOUN
ijassa-1006	254	42	,	,	PUNCT
ijassa-1006	254	43	we	we	PRON
ijassa-1006	254	44	jump	jump	VERB
ijassa-1006	254	45	outside	outside	ADP
ijassa-1006	254	46	the	the	DET
ijassa-1006	254	47	already	already	ADV
ijassa-1006	254	48	reduced	reduce	VERB
ijassa-1006	254	49	search	search	NOUN
ijassa-1006	254	50	space	space	NOUN
ijassa-1006	254	51	and	and	CCONJ
ijassa-1006	254	52	lose	lose	VERB
ijassa-1006	254	53	knowledge	knowledge	NOUN
ijassa-1006	254	54	of	of	ADP
ijassa-1006	254	55	the	the	DET
ijassa-1006	254	56	current	current	ADJ
ijassa-1006	254	57	reduced	reduce	VERB
ijassa-1006	254	58	space	space	NOUN
ijassa-1006	254	59	(	(	PUNCT
ijassa-1006	254	60	converged	converged	ADJ
ijassa-1006	254	61	population	population	NOUN
ijassa-1006	254	62	)	)	PUNCT
ijassa-1006	254	63	.	.	PUNCT
ijassa-1006	255	1	therefore	therefore	ADV
ijassa-1006	255	2	,	,	PUNCT
ijassa-1006	255	3	we	we	PRON
ijassa-1006	255	4	calculate	calculate	VERB
ijassa-1006	255	5	opposite	opposite	ADJ
ijassa-1006	255	6	points	point	NOUN
ijassa-1006	255	7	using	use	VERB
ijassa-1006	255	8	the	the	DET
ijassa-1006	255	9	current	current	ADJ
ijassa-1006	255	10	range	range	NOUN
ijassa-1006	255	11	of	of	ADP
ijassa-1006	255	12	variables	variable	NOUN
ijassa-1006	255	13	in	in	ADP
ijassa-1006	255	14	the	the	DET
ijassa-1006	255	15	population	population	NOUN
ijassa-1006	255	16	which	which	PRON
ijassa-1006	255	17	is	be	AUX
ijassa-1006	255	18	,	,	PUNCT
ijassa-1006	255	19	as	as	SCONJ
ijassa-1006	255	20	we	we	PRON
ijassa-1006	255	21	search	search	VERB
ijassa-1006	255	22	,	,	PUNCT
ijassa-1006	255	23	smaller	small	ADJ
ijassa-1006	255	24	and	and	CCONJ
ijassa-1006	255	25	smaller	small	ADJ
ijassa-1006	255	26	than	than	ADP
ijassa-1006	255	27	the	the	DET
ijassa-1006	255	28	corresponding	corresponding	ADJ
ijassa-1006	255	29	initial	initial	ADJ
ijassa-1006	255	30	range	range	NOUN
ijassa-1006	255	31	.	.	PUNCT
ijassa-1006	256	1	a	a	DET
ijassa-1006	256	2	novel	novel	ADJ
ijassa-1006	256	3	two	two	NUM
ijassa-1006	256	4	-	-	PUNCT
ijassa-1006	256	5	stage	stage	NOUN
ijassa-1006	256	6	hybrid	hybrid	ADJ
ijassa-1006	256	7	multi	multi	ADJ
ijassa-1006	256	8	-	-	ADJ
ijassa-1006	256	9	objective	objective	ADJ
ijassa-1006	256	10	differential	differential	ADJ
ijassa-1006	256	11	evolution	evolution	NOUN
ijassa-1006	256	12	…	…	PUNCT
ijassa-1006	256	13	165	165	NUM
ijassa-1006	256	14	copyright	copyright	NOUN
ijassa-1006	256	15	©	©	PROPN
ijassa-1006	256	16	2023	2023	NUM
ijassa-1006	256	17	assa	assa	NOUN
ijassa-1006	256	18	.	.	PUNCT
ijassa-1006	257	1	adv	adv	PROPN
ijassa-1006	257	2	.	.	PUNCT
ijassa-1006	258	1	in	in	ADP
ijassa-1006	258	2	systems	system	NOUN
ijassa-1006	258	3	science	science	NOUN
ijassa-1006	258	4	and	and	CCONJ
ijassa-1006	258	5	appl	appl	NOUN
ijassa-1006	258	6	.	.	PUNCT
ijassa-1006	259	1	(	(	PUNCT
ijassa-1006	259	2	2023	2023	NUM
ijassa-1006	259	3	)	)	PUNCT
ijassa-1006	259	4	fig	fig	NOUN
ijassa-1006	259	5	4.2	4.2	NUM
ijassa-1006	259	6	.	.	PUNCT
ijassa-1006	260	1	flowchart	flowchart	NOUN
ijassa-1006	260	2	of	of	ADP
ijassa-1006	260	3	the	the	DET
ijassa-1006	260	4	proposed	propose	VERB
ijassa-1006	260	5	hybrid	hybrid	ADJ
ijassa-1006	260	6	algorithm	algorithm	NOUN
ijassa-1006	260	7	mode	mode	PROPN
ijassa-1006	260	8	-	-	PUNCT
ijassa-1006	260	9	obl	obl	PROPN
ijassa-1006	260	10	5	5	NUM
ijassa-1006	260	11	.	.	PUNCT
ijassa-1006	260	12	experimental	experimental	ADJ
ijassa-1006	260	13	results	result	NOUN
ijassa-1006	260	14	and	and	CCONJ
ijassa-1006	260	15	comparisons	comparison	NOUN
ijassa-1006	260	16	five	five	NUM
ijassa-1006	260	17	state	state	NOUN
ijassa-1006	260	18	-	-	PUNCT
ijassa-1006	260	19	of	of	ADP
ijassa-1006	260	20	-	-	PUNCT
ijassa-1006	260	21	the	the	DET
ijassa-1006	260	22	-	-	PUNCT
ijassa-1006	260	23	art	art	NOUN
ijassa-1006	260	24	algorithms	algorithm	NOUN
ijassa-1006	260	25	,	,	PUNCT
ijassa-1006	260	26	namely	namely	ADV
ijassa-1006	260	27	nsga	nsga	NOUN
ijassa-1006	260	28	-	-	PUNCT
ijassa-1006	260	29	ii	ii	NOUN
ijassa-1006	260	30	,	,	PUNCT
ijassa-1006	260	31	mopso	mopso	PROPN
ijassa-1006	260	32	,	,	PUNCT
ijassa-1006	260	33	nsde	nsde	PROPN
ijassa-1006	260	34	,	,	PUNCT
ijassa-1006	260	35	moea	moea	NOUN
ijassa-1006	260	36	/	/	SYM
ijassa-1006	260	37	d	d	NOUN
ijassa-1006	260	38	-	-	PUNCT
ijassa-1006	260	39	de	de	ADJ
ijassa-1006	260	40	and	and	CCONJ
ijassa-1006	260	41	mode	mode	PROPN
ijassa-1006	260	42	-	-	PUNCT
ijassa-1006	260	43	rmo	rmo	PROPN
ijassa-1006	260	44	were	be	AUX
ijassa-1006	260	45	chosen	choose	VERB
ijassa-1006	260	46	for	for	ADP
ijassa-1006	260	47	the	the	DET
ijassa-1006	260	48	performance	performance	NOUN
ijassa-1006	260	49	comparison	comparison	NOUN
ijassa-1006	260	50	with	with	ADP
ijassa-1006	260	51	the	the	DET
ijassa-1006	260	52	proposed	propose	VERB
ijassa-1006	260	53	mode	mode	NOUN
ijassa-1006	260	54	-	-	PUNCT
ijassa-1006	260	55	obl	obl	PROPN
ijassa-1006	260	56	.	.	PUNCT
ijassa-1006	261	1	nsga	nsga	NOUN
ijassa-1006	261	2	-	-	PUNCT
ijassa-1006	261	3	ii	ii	NOUN
ijassa-1006	262	1	[	[	X
ijassa-1006	262	2	53	53	NUM
ijassa-1006	262	3	]	]	PUNCT
ijassa-1006	262	4	is	be	AUX
ijassa-1006	262	5	a	a	DET
ijassa-1006	262	6	popular	popular	ADJ
ijassa-1006	262	7	algorithm	algorithm	NOUN
ijassa-1006	262	8	in	in	ADP
ijassa-1006	262	9	evolutionary	evolutionary	ADJ
ijassa-1006	262	10	multi	multi	ADJ
ijassa-1006	262	11	-	-	ADJ
ijassa-1006	262	12	objective	objective	ADJ
ijassa-1006	262	13	optimization	optimization	NOUN
ijassa-1006	262	14	because	because	SCONJ
ijassa-1006	262	15	it	it	PRON
ijassa-1006	262	16	has	have	VERB
ijassa-1006	262	17	the	the	DET
ijassa-1006	262	18	ability	ability	NOUN
ijassa-1006	262	19	to	to	PART
ijassa-1006	262	20	achieve	achieve	VERB
ijassa-1006	262	21	promising	promising	ADJ
ijassa-1006	262	22	solutions	solution	NOUN
ijassa-1006	262	23	for	for	ADP
ijassa-1006	262	24	most	most	ADJ
ijassa-1006	262	25	moops	moop	NOUN
ijassa-1006	262	26	.	.	PUNCT
ijassa-1006	263	1	this	this	DET
ijassa-1006	263	2	algorithm	algorithm	NOUN
ijassa-1006	263	3	uses	use	VERB
ijassa-1006	263	4	pareto	pareto	ADJ
ijassa-1006	263	5	rank	rank	NOUN
ijassa-1006	263	6	and	and	CCONJ
ijassa-1006	263	7	crowding	crowd	VERB
ijassa-1006	263	8	distance	distance	NOUN
ijassa-1006	263	9	as	as	ADP
ijassa-1006	263	10	the	the	DET
ijassa-1006	263	11	operators	operator	NOUN
ijassa-1006	263	12	of	of	ADP
ijassa-1006	263	13	fitness	fitness	PROPN
ijassa-1006	263	14	assignment	assignment	NOUN
ijassa-1006	263	15	,	,	PUNCT
ijassa-1006	263	16	binary	binary	ADJ
ijassa-1006	263	17	tournament	tournament	NOUN
ijassa-1006	263	18	selection	selection	NOUN
ijassa-1006	263	19	,	,	PUNCT
ijassa-1006	263	20	uniform	uniform	ADJ
ijassa-1006	263	21	crossover	crossover	NOUN
ijassa-1006	263	22	,	,	PUNCT
ijassa-1006	263	23	bit	bit	NOUN
ijassa-1006	263	24	-	-	PUNCT
ijassa-1006	263	25	flip	flip	ADJ
ijassa-1006	263	26	mutation	mutation	NOUN
ijassa-1006	263	27	,	,	PUNCT
ijassa-1006	263	28	and	and	CCONJ
ijassa-1006	263	29	parent	parent	NOUN
ijassa-1006	263	30	-	-	PUNCT
ijassa-1006	263	31	offspring	offspring	NOUN
ijassa-1006	263	32	archiving	archiving	NOUN
ijassa-1006	263	33	.	.	PUNCT
ijassa-1006	264	1	the	the	DET
ijassa-1006	264	2	nondominated	nondominated	ADJ
ijassa-1006	264	3	sorting	sorting	NOUN
ijassa-1006	264	4	differential	differential	ADJ
ijassa-1006	264	5	evolution	evolution	NOUN
ijassa-1006	264	6	(	(	PUNCT
ijassa-1006	264	7	nsde	nsde	NOUN
ijassa-1006	264	8	)	)	PUNCT
ijassa-1006	265	1	[	[	X
ijassa-1006	265	2	54	54	NUM
ijassa-1006	265	3	]	]	PUNCT
ijassa-1006	265	4	is	be	AUX
ijassa-1006	265	5	an	an	DET
ijassa-1006	265	6	extension	extension	NOUN
ijassa-1006	265	7	of	of	ADP
ijassa-1006	265	8	the	the	DET
ijassa-1006	265	9	basic	basic	ADJ
ijassa-1006	265	10	differential	differential	NOUN
ijassa-1006	265	11	evolution	evolution	NOUN
ijassa-1006	265	12	solving	solve	VERB
ijassa-1006	265	13	multi	multi	ADJ
ijassa-1006	265	14	-	-	ADJ
ijassa-1006	265	15	objective	objective	ADJ
ijassa-1006	265	16	optimization	optimization	NOUN
ijassa-1006	265	17	.	.	PUNCT
ijassa-1006	266	1	it	it	PRON
ijassa-1006	266	2	adopts	adopt	VERB
ijassa-1006	266	3	the	the	DET
ijassa-1006	266	4	non	non	ADJ
ijassa-1006	266	5	-	-	ADJ
ijassa-1006	266	6	dominated	dominated	ADJ
ijassa-1006	266	7	sorting	sorting	NOUN
ijassa-1006	266	8	,	,	PUNCT
ijassa-1006	266	9	ranking	ranking	NOUN
ijassa-1006	266	10	,	,	PUNCT
ijassa-1006	266	11	and	and	CCONJ
ijassa-1006	266	12	elitism	elitism	NOUN
ijassa-1006	266	13	techniques	technique	NOUN
ijassa-1006	266	14	found	find	VERB
ijassa-1006	266	15	in	in	ADP
ijassa-1006	266	16	nsga	nsga	NOUN
ijassa-1006	266	17	-	-	PUNCT
ijassa-1006	266	18	ii	ii	NOUN
ijassa-1006	266	19	,	,	PUNCT
ijassa-1006	266	20	but	but	CCONJ
ijassa-1006	266	21	the	the	DET
ijassa-1006	266	22	main	main	ADJ
ijassa-1006	266	23	difference	difference	NOUN
ijassa-1006	266	24	between	between	ADP
ijassa-1006	266	25	them	they	PRON
ijassa-1006	266	26	is	be	AUX
ijassa-1006	266	27	that	that	SCONJ
ijassa-1006	266	28	the	the	DET
ijassa-1006	266	29	nsde	nsde	PROPN
ijassa-1006	266	30	uses	use	VERB
ijassa-1006	266	31	the	the	DET
ijassa-1006	266	32	differential	differential	ADJ
ijassa-1006	266	33	evolution	evolution	NOUN
ijassa-1006	266	34	mutation	mutation	NOUN
ijassa-1006	266	35	operator	operator	NOUN
ijassa-1006	266	36	instead	instead	ADV
ijassa-1006	266	37	of	of	ADP
ijassa-1006	266	38	the	the	DET
ijassa-1006	266	39	sbx	sbx	NOUN
ijassa-1006	266	40	operator	operator	NOUN
ijassa-1006	266	41	.	.	PUNCT
ijassa-1006	267	1	for	for	ADP
ijassa-1006	267	2	moea	moea	NOUN
ijassa-1006	267	3	/	/	SYM
ijassa-1006	267	4	d	d	NOUN
ijassa-1006	267	5	-	-	PUNCT
ijassa-1006	267	6	de	de	X
ijassa-1006	267	7	[	[	X
ijassa-1006	267	8	55	55	NUM
ijassa-1006	267	9	]	]	PUNCT
ijassa-1006	267	10	,	,	PUNCT
ijassa-1006	267	11	it	it	PRON
ijassa-1006	267	12	is	be	AUX
ijassa-1006	267	13	an	an	DET
ijassa-1006	267	14	evolutionary	evolutionary	ADJ
ijassa-1006	267	15	algorithm	algorithm	NOUN
ijassa-1006	267	16	that	that	PRON
ijassa-1006	267	17	decomposes	decompose	VERB
ijassa-1006	267	18	any	any	DET
ijassa-1006	267	19	given	give	VERB
ijassa-1006	267	20	mop	mop	NOUN
ijassa-1006	267	21	into	into	ADP
ijassa-1006	267	22	a	a	DET
ijassa-1006	267	23	number	number	NOUN
ijassa-1006	267	24	of	of	ADP
ijassa-1006	267	25	single	single	ADJ
ijassa-1006	267	26	objective	objective	ADJ
ijassa-1006	267	27	subproblems	subproblem	NOUN
ijassa-1006	267	28	.	.	PUNCT
ijassa-1006	268	1	each	each	DET
ijassa-1006	268	2	subproblem	subproblem	NOUN
ijassa-1006	268	3	is	be	AUX
ijassa-1006	268	4	simultaneously	simultaneously	ADV
ijassa-1006	268	5	optimized	optimize	VERB
ijassa-1006	268	6	during	during	ADP
ijassa-1006	268	7	the	the	DET
ijassa-1006	268	8	evolutionary	evolutionary	ADJ
ijassa-1006	268	9	research	research	NOUN
ijassa-1006	268	10	process	process	NOUN
ijassa-1006	268	11	.	.	PUNCT
ijassa-1006	269	1	for	for	ADP
ijassa-1006	269	2	the	the	DET
ijassa-1006	269	3	decomposition	decomposition	NOUN
ijassa-1006	269	4	of	of	ADP
ijassa-1006	269	5	moop	moop	NOUN
ijassa-1006	269	6	,	,	PUNCT
ijassa-1006	269	7	tchebycheff	tchebycheff	NOUN
ijassa-1006	269	8	's	's	PART
ijassa-1006	269	9	approach	approach	NOUN
ijassa-1006	269	10	is	be	AUX
ijassa-1006	269	11	used	use	VERB
ijassa-1006	269	12	in	in	ADP
ijassa-1006	269	13	this	this	DET
ijassa-1006	269	14	algorithm	algorithm	NOUN
ijassa-1006	269	15	and	and	CCONJ
ijassa-1006	269	16	the	the	DET
ijassa-1006	269	17	difference	difference	NOUN
ijassa-1006	269	18	between	between	ADP
ijassa-1006	269	19	moea	moea	NOUN
ijassa-1006	269	20	/	/	SYM
ijassa-1006	269	21	d	d	NOUN
ijassa-1006	269	22	-	-	PUNCT
ijassa-1006	269	23	sbx	sbx	NOUN
ijassa-1006	269	24	and	and	CCONJ
ijassa-1006	269	25	moea	moea	NOUN
ijassa-1006	269	26	/	/	SYM
ijassa-1006	269	27	d	d	NOUN
ijassa-1006	269	28	-	-	PUNCT
ijassa-1006	269	29	de	de	ADJ
ijassa-1006	269	30	lies	lie	NOUN
ijassa-1006	269	31	in	in	ADP
ijassa-1006	269	32	their	their	PRON
ijassa-1006	269	33	genetic	genetic	ADJ
ijassa-1006	269	34	operators	operator	NOUN
ijassa-1006	269	35	whereby	whereby	SCONJ
ijassa-1006	269	36	the	the	DET
ijassa-1006	269	37	sbx	sbx	NOUN
ijassa-1006	269	38	crossover	crossover	NOUN
ijassa-1006	269	39	operator	operator	NOUN
ijassa-1006	269	40	is	be	AUX
ijassa-1006	269	41	used	use	VERB
ijassa-1006	269	42	with	with	ADP
ijassa-1006	269	43	a	a	DET
ijassa-1006	269	44	polynomial	polynomial	ADJ
ijassa-1006	269	45	mutation	mutation	NOUN
ijassa-1006	269	46	.	.	PUNCT
ijassa-1006	270	1	for	for	ADP
ijassa-1006	270	2	moea	moea	NOUN
ijassa-1006	270	3	/	/	SYM
ijassa-1006	270	4	d	d	NOUN
ijassa-1006	270	5	-	-	PUNCT
ijassa-1006	270	6	sbx	sbx	NOUN
ijassa-1006	270	7	while	while	SCONJ
ijassa-1006	270	8	moea	moea	NOUN
ijassa-1006	270	9	/	/	SYM
ijassa-1006	270	10	d	d	X
ijassa-1006	270	11	-	-	PUNCT
ijassa-1006	270	12	de	de	X
ijassa-1006	270	13	uses	use	VERB
ijassa-1006	270	14	the	the	DET
ijassa-1006	270	15	de	de	PROPN
ijassa-1006	270	16	/	/	SYM
ijassa-1006	270	17	rand/1	rand/1	NOUN
ijassa-1006	270	18	crossover	crossover	NOUN
ijassa-1006	270	19	with	with	ADP
ijassa-1006	270	20	polynomial	polynomial	ADJ
ijassa-1006	270	21	mutation	mutation	NOUN
ijassa-1006	270	22	.	.	PUNCT
ijassa-1006	271	1	finally	finally	ADV
ijassa-1006	271	2	,	,	PUNCT
ijassa-1006	271	3	for	for	ADP
ijassa-1006	271	4	mopso	mopso	PRON
ijassa-1006	271	5	[	[	X
ijassa-1006	271	6	56	56	NUM
ijassa-1006	271	7	]	]	PUNCT
ijassa-1006	271	8	,	,	PUNCT
ijassa-1006	271	9	it	it	PRON
ijassa-1006	271	10	is	be	AUX
ijassa-1006	271	11	extended	extend	VERB
ijassa-1006	271	12	from	from	ADP
ijassa-1006	271	13	the	the	DET
ijassa-1006	271	14	particle	particle	NOUN
ijassa-1006	271	15	swarm	swarm	NOUN
ijassa-1006	271	16	optimization	optimization	NOUN
ijassa-1006	271	17	algorithm	algorithm	NOUN
ijassa-1006	271	18	(	(	PUNCT
ijassa-1006	271	19	pso	pso	NOUN
ijassa-1006	271	20	)	)	PUNCT
ijassa-1006	271	21	,	,	PUNCT
ijassa-1006	271	22	and	and	CCONJ
ijassa-1006	271	23	it	it	PRON
ijassa-1006	271	24	essentially	essentially	ADV
ijassa-1006	271	25	combines	combine	VERB
ijassa-1006	271	26	the	the	DET
ijassa-1006	271	27	strong	strong	ADJ
ijassa-1006	271	28	characteristics	characteristic	NOUN
ijassa-1006	271	29	of	of	ADP
ijassa-1006	271	30	pso	pso	NOUN
ijassa-1006	271	31	.	.	PUNCT
ijassa-1006	272	1	for	for	ADP
ijassa-1006	272	2	fair	fair	ADJ
ijassa-1006	272	3	comparisons	comparison	NOUN
ijassa-1006	272	4	,	,	PUNCT
ijassa-1006	272	5	all	all	DET
ijassa-1006	272	6	parameters	parameter	NOUN
ijassa-1006	272	7	of	of	ADP
ijassa-1006	272	8	the	the	DET
ijassa-1006	272	9	compared	compare	VERB
ijassa-1006	272	10	algorithms	algorithm	NOUN
ijassa-1006	272	11	are	be	AUX
ijassa-1006	272	12	set	set	VERB
ijassa-1006	272	13	to	to	PART
ijassa-1006	272	14	recommended	recommend	VERB
ijassa-1006	272	15	values	value	NOUN
ijassa-1006	272	16	as	as	ADP
ijassa-1006	272	17	in	in	ADP
ijassa-1006	272	18	their	their	PRON
ijassa-1006	272	19	original	original	ADJ
ijassa-1006	272	20	articles	article	NOUN
ijassa-1006	272	21	.	.	PUNCT
ijassa-1006	273	1	166	166	NUM
ijassa-1006	273	2	n.	n.	NOUN
ijassa-1006	273	3	boukhari	boukhari	NOUN
ijassa-1006	273	4	,	,	PUNCT
ijassa-1006	273	5	m.	m.	NOUN
ijassa-1006	273	6	a.	a.	NOUN
ijassa-1006	273	7	nemmich	nemmich	PROPN
ijassa-1006	273	8	,	,	PUNCT
ijassa-1006	273	9	f.	f.	PROPN
ijassa-1006	273	10	debbat	debbat	PROPN
ijassa-1006	273	11	,	,	PUNCT
ijassa-1006	273	12	n.	n.	NOUN
ijassa-1006	273	13	monmarché	monmarché	NOUN
ijassa-1006	273	14	,	,	PUNCT
ijassa-1006	273	15	m.	m.	NOUN
ijassa-1006	273	16	slimane	slimane	PROPN
ijassa-1006	273	17	copyright	copyright	NOUN
ijassa-1006	274	1	©	©	PROPN
ijassa-1006	274	2	0000	0000	NUM
ijassa-1006	274	3	assa	assa	PROPN
ijassa-1006	274	4	adv	adv	PROPN
ijassa-1006	274	5	.	.	PUNCT
ijassa-1006	275	1	in	in	ADP
ijassa-1006	275	2	systems	system	NOUN
ijassa-1006	275	3	science	science	NOUN
ijassa-1006	275	4	and	and	CCONJ
ijassa-1006	275	5	appl	appl	NOUN
ijassa-1006	275	6	.	.	PUNCT
ijassa-1006	276	1	(	(	PUNCT
ijassa-1006	276	2	0000	0000	NUM
ijassa-1006	276	3	)	)	PUNCT
ijassa-1006	276	4	in	in	ADP
ijassa-1006	276	5	the	the	DET
ijassa-1006	276	6	following	follow	VERB
ijassa-1006	276	7	subsections	subsection	NOUN
ijassa-1006	276	8	,	,	PUNCT
ijassa-1006	276	9	the	the	DET
ijassa-1006	276	10	test	test	NOUN
ijassa-1006	276	11	issues	issue	NOUN
ijassa-1006	276	12	and	and	CCONJ
ijassa-1006	276	13	quality	quality	NOUN
ijassa-1006	276	14	indicators	indicator	NOUN
ijassa-1006	276	15	used	use	VERB
ijassa-1006	276	16	in	in	ADP
ijassa-1006	276	17	our	our	PRON
ijassa-1006	276	18	comparative	comparative	ADJ
ijassa-1006	276	19	experiments	experiment	NOUN
ijassa-1006	276	20	are	be	AUX
ijassa-1006	276	21	first	first	ADV
ijassa-1006	276	22	presented	present	VERB
ijassa-1006	276	23	.	.	PUNCT
ijassa-1006	277	1	then	then	ADV
ijassa-1006	277	2	,	,	PUNCT
ijassa-1006	277	3	the	the	DET
ijassa-1006	277	4	experimental	experimental	ADJ
ijassa-1006	277	5	parameters	parameter	NOUN
ijassa-1006	277	6	adopted	adopt	VERB
ijassa-1006	277	7	in	in	ADP
ijassa-1006	277	8	this	this	DET
ijassa-1006	277	9	study	study	NOUN
ijassa-1006	277	10	are	be	AUX
ijassa-1006	277	11	provided	provide	VERB
ijassa-1006	277	12	.	.	PUNCT
ijassa-1006	278	1	in	in	ADP
ijassa-1006	278	2	addition	addition	NOUN
ijassa-1006	278	3	,	,	PUNCT
ijassa-1006	278	4	thirty	thirty	NUM
ijassa-1006	278	5	independent	independent	ADJ
ijassa-1006	278	6	tests	test	NOUN
ijassa-1006	278	7	are	be	AUX
ijassa-1006	278	8	performed	perform	VERB
ijassa-1006	278	9	for	for	ADP
ijassa-1006	278	10	each	each	DET
ijassa-1006	278	11	test	test	NOUN
ijassa-1006	278	12	problem	problem	NOUN
ijassa-1006	278	13	in	in	ADP
ijassa-1006	278	14	order	order	NOUN
ijassa-1006	278	15	to	to	PART
ijassa-1006	278	16	avoid	avoid	VERB
ijassa-1006	278	17	the	the	DET
ijassa-1006	278	18	stochastic	stochastic	ADJ
ijassa-1006	278	19	phenomenon	phenomenon	NOUN
ijassa-1006	278	20	,	,	PUNCT
ijassa-1006	278	21	and	and	CCONJ
ijassa-1006	278	22	the	the	DET
ijassa-1006	278	23	wilcoxon	wilcoxon	ADJ
ijassa-1006	278	24	rank	rank	PROPN
ijassa-1006	278	25	sum	sum	PROPN
ijassa-1006	278	26	test	test	NOUN
ijassa-1006	278	27	is	be	AUX
ijassa-1006	278	28	adopted	adopt	VERB
ijassa-1006	278	29	with	with	ADP
ijassa-1006	278	30	significance	significance	NOUN
ijassa-1006	278	31	level	level	NOUN
ijassa-1006	278	32	of	of	ADP
ijassa-1006	278	33	0.05	0.05	NUM
ijassa-1006	278	34	to	to	PART
ijassa-1006	278	35	compare	compare	VERB
ijassa-1006	278	36	the	the	DET
ijassa-1006	278	37	results	result	NOUN
ijassa-1006	278	38	obtained	obtain	VERB
ijassa-1006	278	39	by	by	ADP
ijassa-1006	278	40	mode	mode	PROPN
ijassa-1006	278	41	-	-	PUNCT
ijassa-1006	278	42	obl	obl	PROPN
ijassa-1006	278	43	and	and	CCONJ
ijassa-1006	278	44	the	the	DET
ijassa-1006	278	45	five	five	NUM
ijassa-1006	278	46	algorithms	algorithm	NOUN
ijassa-1006	278	47	compared	compare	VERB
ijassa-1006	278	48	to	to	PART
ijassa-1006	278	49	determine	determine	VERB
ijassa-1006	278	50	if	if	SCONJ
ijassa-1006	278	51	the	the	DET
ijassa-1006	278	52	best	good	ADJ
ijassa-1006	278	53	performing	perform	VERB
ijassa-1006	278	54	algorithm	algorithm	NOUN
ijassa-1006	278	55	differs	differ	VERB
ijassa-1006	278	56	from	from	ADP
ijassa-1006	278	57	competitors	competitor	NOUN
ijassa-1006	278	58	results	result	NOUN
ijassa-1006	278	59	in	in	ADP
ijassa-1006	278	60	a	a	DET
ijassa-1006	278	61	statistically	statistically	ADV
ijassa-1006	278	62	significant	significant	ADJ
ijassa-1006	278	63	way	way	NOUN
ijassa-1006	278	64	.	.	PUNCT
ijassa-1006	279	1	where	where	SCONJ
ijassa-1006	279	2	the	the	DET
ijassa-1006	279	3	symbols	symbol	NOUN
ijassa-1006	279	4	"	"	PUNCT
ijassa-1006	279	5	+	+	ADJ
ijassa-1006	279	6	"	"	PUNCT
ijassa-1006	279	7	,	,	PUNCT
ijassa-1006	279	8	"	"	PUNCT
ijassa-1006	279	9	-	-	PUNCT
ijassa-1006	279	10	"	"	PUNCT
ijassa-1006	279	11	and	and	CCONJ
ijassa-1006	279	12	"	"	PUNCT
ijassa-1006	279	13	≈	≈	PROPN
ijassa-1006	279	14	"	"	PUNCT
ijassa-1006	279	15	indicate	indicate	VERB
ijassa-1006	279	16	that	that	SCONJ
ijassa-1006	279	17	the	the	DET
ijassa-1006	279	18	result	result	NOUN
ijassa-1006	279	19	is	be	AUX
ijassa-1006	279	20	significantly	significantly	ADV
ijassa-1006	279	21	better	well	ADJ
ijassa-1006	279	22	,	,	PUNCT
ijassa-1006	279	23	significantly	significantly	ADV
ijassa-1006	279	24	worse	bad	ADJ
ijassa-1006	279	25	and	and	CCONJ
ijassa-1006	279	26	statistically	statistically	ADV
ijassa-1006	279	27	similar	similar	ADJ
ijassa-1006	279	28	to	to	ADP
ijassa-1006	279	29	that	that	PRON
ijassa-1006	279	30	obtained	obtain	VERB
ijassa-1006	279	31	by	by	ADP
ijassa-1006	279	32	the	the	DET
ijassa-1006	279	33	mode	mode	NOUN
ijassa-1006	279	34	-	-	PUNCT
ijassa-1006	279	35	obl	obl	PROPN
ijassa-1006	279	36	,	,	PUNCT
ijassa-1006	279	37	respectively	respectively	ADV
ijassa-1006	279	38	.	.	PUNCT
ijassa-1006	280	1	5.1	5.1	NUM
ijassa-1006	280	2	.	.	PUNCT
ijassa-1006	281	1	test	test	NOUN
ijassa-1006	281	2	problems	problem	NOUN
ijassa-1006	281	3	a	a	DET
ijassa-1006	281	4	total	total	NOUN
ijassa-1006	281	5	of	of	ADP
ijassa-1006	281	6	12	12	NUM
ijassa-1006	281	7	benchmark	benchmark	NOUN
ijassa-1006	281	8	test	test	NOUN
ijassa-1006	281	9	problems	problem	NOUN
ijassa-1006	281	10	were	be	AUX
ijassa-1006	281	11	chosen	choose	VERB
ijassa-1006	281	12	to	to	PART
ijassa-1006	281	13	test	test	VERB
ijassa-1006	281	14	the	the	DET
ijassa-1006	281	15	optimization	optimization	NOUN
ijassa-1006	281	16	performance	performance	NOUN
ijassa-1006	281	17	of	of	ADP
ijassa-1006	281	18	the	the	DET
ijassa-1006	281	19	proposed	propose	VERB
ijassa-1006	281	20	hybrid	hybrid	ADJ
ijassa-1006	281	21	algorithm	algorithm	NOUN
ijassa-1006	281	22	mode	mode	NOUN
ijassa-1006	281	23	-	-	PUNCT
ijassa-1006	281	24	obl	obl	PROPN
ijassa-1006	281	25	in	in	ADP
ijassa-1006	281	26	terms	term	NOUN
ijassa-1006	281	27	of	of	ADP
ijassa-1006	281	28	convergence	convergence	NOUN
ijassa-1006	281	29	towards	towards	ADP
ijassa-1006	281	30	the	the	DET
ijassa-1006	281	31	true	true	ADJ
ijassa-1006	281	32	pareto	pareto	ADJ
ijassa-1006	281	33	front	front	NOUN
ijassa-1006	281	34	as	as	ADV
ijassa-1006	281	35	well	well	ADV
ijassa-1006	281	36	as	as	ADP
ijassa-1006	281	37	the	the	DET
ijassa-1006	281	38	ability	ability	NOUN
ijassa-1006	281	39	to	to	PART
ijassa-1006	281	40	maintain	maintain	VERB
ijassa-1006	281	41	a	a	DET
ijassa-1006	281	42	set	set	ADJ
ijassa-1006	281	43	various	various	ADJ
ijassa-1006	281	44	solution	solution	NOUN
ijassa-1006	281	45	.	.	PUNCT
ijassa-1006	282	1	the	the	DET
ijassa-1006	282	2	test	test	NOUN
ijassa-1006	282	3	issues	issue	NOUN
ijassa-1006	282	4	used	use	VERB
ijassa-1006	282	5	included	include	VERB
ijassa-1006	282	6	zdt	zdt	PROPN
ijassa-1006	282	7	and	and	CCONJ
ijassa-1006	282	8	dtlz	dtlz	ADJ
ijassa-1006	282	9	issues	issue	NOUN
ijassa-1006	282	10	.	.	PUNCT
ijassa-1006	283	1	for	for	ADP
ijassa-1006	283	2	test	test	NOUN
ijassa-1006	283	3	problems	problem	NOUN
ijassa-1006	283	4	,	,	PUNCT
ijassa-1006	283	5	they	they	PRON
ijassa-1006	283	6	can	can	AUX
ijassa-1006	283	7	have	have	VERB
ijassa-1006	283	8	two	two	NUM
ijassa-1006	283	9	,	,	PUNCT
ijassa-1006	283	10	three	three	NUM
ijassa-1006	283	11	or	or	CCONJ
ijassa-1006	283	12	five	five	NUM
ijassa-1006	283	13	objective	objective	ADJ
ijassa-1006	283	14	functions	function	NOUN
ijassa-1006	283	15	and	and	CCONJ
ijassa-1006	283	16	have	have	VERB
ijassa-1006	283	17	an	an	DET
ijassa-1006	283	18	evolving	evolve	VERB
ijassa-1006	283	19	number	number	NOUN
ijassa-1006	283	20	of	of	ADP
ijassa-1006	283	21	decision	decision	NOUN
ijassa-1006	283	22	variables	variable	NOUN
ijassa-1006	283	23	.	.	PUNCT
ijassa-1006	284	1	these	these	DET
ijassa-1006	284	2	problems	problem	NOUN
ijassa-1006	284	3	have	have	AUX
ijassa-1006	284	4	been	be	AUX
ijassa-1006	284	5	chosen	choose	VERB
ijassa-1006	284	6	because	because	SCONJ
ijassa-1006	284	7	they	they	PRON
ijassa-1006	284	8	cover	cover	VERB
ijassa-1006	284	9	different	different	ADJ
ijassa-1006	284	10	characteristics	characteristic	NOUN
ijassa-1006	284	11	of	of	ADP
ijassa-1006	284	12	multi	multi	ADJ
ijassa-1006	284	13	-	-	ADJ
ijassa-1006	284	14	objective	objective	ADJ
ijassa-1006	284	15	optimization	optimization	NOUN
ijassa-1006	284	16	,	,	PUNCT
ijassa-1006	284	17	namely	namely	ADV
ijassa-1006	284	18	the	the	DET
ijassa-1006	284	19	convex	convex	ADJ
ijassa-1006	284	20	pareto	pareto	ADJ
ijassa-1006	284	21	front	front	NOUN
ijassa-1006	284	22	,	,	PUNCT
ijassa-1006	284	23	the	the	DET
ijassa-1006	284	24	non	non	ADJ
ijassa-1006	284	25	-	-	ADJ
ijassa-1006	284	26	convex	convex	ADJ
ijassa-1006	284	27	pareto	pareto	ADJ
ijassa-1006	284	28	front	front	NOUN
ijassa-1006	284	29	,	,	PUNCT
ijassa-1006	284	30	the	the	DET
ijassa-1006	284	31	discrete	discrete	ADJ
ijassa-1006	284	32	pareto	pareto	ADJ
ijassa-1006	284	33	front	front	NOUN
ijassa-1006	284	34	,	,	PUNCT
ijassa-1006	284	35	multimodality	multimodality	NOUN
ijassa-1006	284	36	,	,	PUNCT
ijassa-1006	284	37	and	and	CCONJ
ijassa-1006	284	38	non	non	ADJ
ijassa-1006	284	39	-	-	NOUN
ijassa-1006	284	40	uniformity	uniformity	NOUN
ijassa-1006	284	41	of	of	ADP
ijassa-1006	284	42	the	the	DET
ijassa-1006	284	43	distribution	distribution	NOUN
ijassa-1006	284	44	of	of	ADP
ijassa-1006	284	45	solutions	solution	NOUN
ijassa-1006	284	46	.	.	PUNCT
ijassa-1006	285	1	the	the	DET
ijassa-1006	285	2	presence	presence	NOUN
ijassa-1006	285	3	of	of	ADP
ijassa-1006	285	4	these	these	DET
ijassa-1006	285	5	characteristics	characteristic	NOUN
ijassa-1006	285	6	may	may	AUX
ijassa-1006	285	7	pose	pose	VERB
ijassa-1006	285	8	challenges	challenge	NOUN
ijassa-1006	285	9	to	to	ADP
ijassa-1006	285	10	a	a	DET
ijassa-1006	285	11	multi	multi	ADJ
ijassa-1006	285	12	-	-	ADJ
ijassa-1006	285	13	objective	objective	ADJ
ijassa-1006	285	14	optimization	optimization	NOUN
ijassa-1006	285	15	algorithm	algorithm	NOUN
ijassa-1006	285	16	.	.	PUNCT
ijassa-1006	286	1	table	table	NOUN
ijassa-1006	286	2	5.1	5.1	NUM
ijassa-1006	286	3	.	.	PUNCT
ijassa-1006	287	1	multi	multi	ADJ
ijassa-1006	287	2	-	-	ADJ
ijassa-1006	287	3	objective	objective	ADJ
ijassa-1006	287	4	testing	testing	NOUN
ijassa-1006	287	5	issues	issue	NOUN
ijassa-1006	287	6	.	.	PUNCT
ijassa-1006	288	1	s	s	PART
ijassa-1006	288	2	(	(	PUNCT
ijassa-1006	288	3	scalability	scalability	NOUN
ijassa-1006	288	4	)	)	PUNCT
ijassa-1006	288	5	,	,	PUNCT
ijassa-1006	288	6	m	m	PROPN
ijassa-1006	288	7	(	(	PUNCT
ijassa-1006	288	8	the	the	DET
ijassa-1006	288	9	number	number	NOUN
ijassa-1006	288	10	of	of	ADP
ijassa-1006	288	11	objective	objective	ADJ
ijassa-1006	288	12	functions	function	NOUN
ijassa-1006	288	13	)	)	PUNCT
ijassa-1006	288	14	,	,	PUNCT
ijassa-1006	289	1	k	k	PROPN
ijassa-1006	289	2	(	(	PUNCT
ijassa-1006	289	3	scalar	scalar	ADJ
ijassa-1006	289	4	parameter	parameter	NOUN
ijassa-1006	289	5	)	)	PUNCT
ijassa-1006	289	6	,	,	PUNCT
ijassa-1006	289	7	n	n	CCONJ
ijassa-1006	289	8	(	(	PUNCT
ijassa-1006	289	9	the	the	DET
ijassa-1006	289	10	number	number	NOUN
ijassa-1006	289	11	of	of	ADP
ijassa-1006	289	12	decision	decision	NOUN
ijassa-1006	289	13	variables	variable	NOUN
ijassa-1006	289	14	)	)	PUNCT
ijassa-1006	289	15	,	,	PUNCT
ijassa-1006	289	16	sp	sp	ADP
ijassa-1006	289	17	(	(	PUNCT
ijassa-1006	289	18	separable	separable	ADJ
ijassa-1006	289	19	)	)	PUNCT
ijassa-1006	289	20	,	,	PUNCT
ijassa-1006	289	21	ns	ns	X
ijassa-1006	289	22	(	(	PUNCT
ijassa-1006	289	23	non	non	ADJ
ijassa-1006	289	24	-	-	ADJ
ijassa-1006	289	25	separable	separable	ADJ
ijassa-1006	289	26	)	)	PUNCT
ijassa-1006	289	27	.	.	PUNCT
ijassa-1006	290	1	instance	instance	NOUN
ijassa-1006	290	2	m	m	PROPN
ijassa-1006	290	3	n	n	PRON
ijassa-1006	290	4	interval	interval	NOUN
ijassa-1006	290	5	geometry	geometry	NOUN
ijassa-1006	290	6	sp	sp	NOUN
ijassa-1006	290	7	/	/	SYM
ijassa-1006	290	8	ns	ns	NUM
ijassa-1006	290	9	u	u	NOUN
ijassa-1006	290	10	/	/	SYM
ijassa-1006	290	11	m	m	PROPN
ijassa-1006	290	12	zdt1	zdt1	NOUN
ijassa-1006	290	13	2	2	NUM
ijassa-1006	290	14	30(s	30(s	NUM
ijassa-1006	290	15	)	)	PUNCT
ijassa-1006	291	1	[	[	X
ijassa-1006	291	2	0,1	0,1	X
ijassa-1006	291	3	]	]	X
ijassa-1006	291	4	convex	convex	NOUN
ijassa-1006	291	5	sp	sp	ADP
ijassa-1006	291	6	u	u	NOUN
ijassa-1006	291	7	zdt2	zdt2	PROPN
ijassa-1006	291	8	2	2	NUM
ijassa-1006	291	9	30(s	30(s	NUM
ijassa-1006	291	10	)	)	PUNCT
ijassa-1006	292	1	[	[	X
ijassa-1006	292	2	0,1	0,1	X
ijassa-1006	292	3	]	]	X
ijassa-1006	292	4	concave	concave	NOUN
ijassa-1006	292	5	sp	sp	ADP
ijassa-1006	292	6	u	u	NOUN
ijassa-1006	292	7	zdt3	zdt3	PROPN
ijassa-1006	292	8	2	2	NUM
ijassa-1006	292	9	30(s	30(s	NUM
ijassa-1006	292	10	)	)	PUNCT
ijassa-1006	293	1	[	[	X
ijassa-1006	293	2	0,1	0,1	NUM
ijassa-1006	293	3	]	]	PUNCT
ijassa-1006	293	4	deconnected	deconnecte	VERB
ijassa-1006	293	5	sp	sp	ADP
ijassa-1006	293	6	m	m	PROPN
ijassa-1006	293	7	zdt4	zdt4	PROPN
ijassa-1006	293	8	2	2	NUM
ijassa-1006	293	9	30(s	30(s	NUM
ijassa-1006	293	10	)	)	PUNCT
ijassa-1006	294	1	[	[	X
ijassa-1006	294	2	0,1	0,1	NUM
ijassa-1006	294	3	]	]	X
ijassa-1006	294	4	×	×	NOUN
ijassa-1006	294	5	[	[	X
ijassa-1006	294	6	−5,5	−5,5	X
ijassa-1006	294	7	]	]	X
ijassa-1006	294	8	convex	convex	NOUN
ijassa-1006	294	9	sp	sp	ADP
ijassa-1006	294	10	m	m	PROPN
ijassa-1006	294	11	zdt6	zdt6	PROPN
ijassa-1006	294	12	2	2	NUM
ijassa-1006	294	13	30(s	30(s	NUM
ijassa-1006	294	14	)	)	PUNCT
ijassa-1006	295	1	[	[	X
ijassa-1006	295	2	0,1	0,1	X
ijassa-1006	295	3	]	]	X
ijassa-1006	295	4	concave	concave	NOUN
ijassa-1006	295	5	sp	sp	ADP
ijassa-1006	295	6	m	m	NOUN
ijassa-1006	295	7	dtlz1	dtlz1	NOUN
ijassa-1006	295	8	3(s	3(s	NUM
ijassa-1006	295	9	)	)	PUNCT
ijassa-1006	295	10	𝒎	𝒎	NOUN
ijassa-1006	295	11	+	+	NOUN
ijassa-1006	295	12	𝑲	𝑲	DET
ijassa-1006	295	13	−	−	PROPN
ijassa-1006	295	14	1(𝑆	1(𝑆	NUM
ijassa-1006	295	15	)	)	PUNCT
ijassa-1006	296	1	[	[	X
ijassa-1006	296	2	0,1	0,1	NUM
ijassa-1006	296	3	]	]	X
ijassa-1006	296	4	lineair	lineair	NOUN
ijassa-1006	296	5	sp	sp	ADP
ijassa-1006	296	6	m	m	PROPN
ijassa-1006	296	7	dtlz2	dtlz2	NOUN
ijassa-1006	296	8	3(s	3(s	NUM
ijassa-1006	296	9	)	)	PUNCT
ijassa-1006	296	10	𝒎	𝒎	NOUN
ijassa-1006	297	1	+	+	NOUN
ijassa-1006	297	2	𝑲	𝑲	DET
ijassa-1006	297	3	−	−	PROPN
ijassa-1006	297	4	1(𝑆	1(𝑆	NUM
ijassa-1006	297	5	)	)	PUNCT
ijassa-1006	298	1	[	[	X
ijassa-1006	298	2	0,1	0,1	NUM
ijassa-1006	298	3	]	]	X
ijassa-1006	298	4	concave	concave	NOUN
ijassa-1006	298	5	sp	sp	ADP
ijassa-1006	298	6	u	u	NOUN
ijassa-1006	298	7	dtlz3	dtlz3	NOUN
ijassa-1006	298	8	3(s	3(s	NUM
ijassa-1006	298	9	)	)	PUNCT
ijassa-1006	298	10	𝒎	𝒎	NOUN
ijassa-1006	298	11	+	+	NOUN
ijassa-1006	298	12	𝑲	𝑲	DET
ijassa-1006	298	13	−	−	PROPN
ijassa-1006	298	14	1(𝑆	1(𝑆	NUM
ijassa-1006	298	15	)	)	PUNCT
ijassa-1006	299	1	[	[	X
ijassa-1006	299	2	0,1	0,1	NUM
ijassa-1006	299	3	]	]	X
ijassa-1006	299	4	concave	concave	NOUN
ijassa-1006	299	5	sp	sp	ADP
ijassa-1006	299	6	m	m	PROPN
ijassa-1006	299	7	dtlz4	dtlz4	NOUN
ijassa-1006	299	8	3(s	3(s	NUM
ijassa-1006	299	9	)	)	PUNCT
ijassa-1006	299	10	𝒎	𝒎	NOUN
ijassa-1006	299	11	+	+	NOUN
ijassa-1006	299	12	𝑲	𝑲	DET
ijassa-1006	299	13	−	−	PROPN
ijassa-1006	299	14	1(𝑆	1(𝑆	NUM
ijassa-1006	299	15	)	)	PUNCT
ijassa-1006	300	1	[	[	X
ijassa-1006	300	2	0,1	0,1	NUM
ijassa-1006	300	3	]	]	X
ijassa-1006	300	4	concave	concave	NOUN
ijassa-1006	300	5	sp	sp	ADP
ijassa-1006	300	6	u	u	NOUN
ijassa-1006	300	7	dtlz5	dtlz5	NOUN
ijassa-1006	300	8	3(s	3(s	NUM
ijassa-1006	300	9	)	)	PUNCT
ijassa-1006	300	10	𝒎	𝒎	NOUN
ijassa-1006	300	11	+	+	NOUN
ijassa-1006	300	12	𝑲	𝑲	DET
ijassa-1006	300	13	−	−	PROPN
ijassa-1006	300	14	1(𝑆	1(𝑆	NUM
ijassa-1006	300	15	)	)	PUNCT
ijassa-1006	301	1	[	[	X
ijassa-1006	301	2	0,1	0,1	NUM
ijassa-1006	301	3	]	]	PUNCT
ijassa-1006	301	4	degenerated	degenerate	VERB
ijassa-1006	301	5	ns	ns	NUM
ijassa-1006	301	6	u	u	NOUN
ijassa-1006	301	7	dtlz6	dtlz6	NOUN
ijassa-1006	301	8	3(s	3(s	NUM
ijassa-1006	301	9	)	)	PUNCT
ijassa-1006	301	10	𝒎	𝒎	NOUN
ijassa-1006	302	1	+	+	NOUN
ijassa-1006	302	2	𝑲	𝑲	DET
ijassa-1006	302	3	−	−	PROPN
ijassa-1006	302	4	1(𝑆	1(𝑆	NUM
ijassa-1006	302	5	)	)	PUNCT
ijassa-1006	303	1	[	[	X
ijassa-1006	303	2	0,1	0,1	NUM
ijassa-1006	303	3	]	]	PUNCT
ijassa-1006	303	4	degenerated	degenerate	VERB
ijassa-1006	303	5	ns	ns	NUM
ijassa-1006	303	6	u	u	NOUN
ijassa-1006	303	7	dtlz7	dtlz7	ADJ
ijassa-1006	303	8	3(s	3(s	NUM
ijassa-1006	303	9	)	)	PUNCT
ijassa-1006	303	10	𝒎	𝒎	NOUN
ijassa-1006	304	1	+	+	NOUN
ijassa-1006	304	2	𝑲	𝑲	DET
ijassa-1006	304	3	−	−	PROPN
ijassa-1006	304	4	1(𝑆	1(𝑆	NUM
ijassa-1006	304	5	)	)	PUNCT
ijassa-1006	305	1	[	[	X
ijassa-1006	305	2	0,1	0,1	NUM
ijassa-1006	305	3	]	]	PUNCT
ijassa-1006	305	4	deconnected	deconnecte	VERB
ijassa-1006	305	5	sp	sp	ADP
ijassa-1006	305	6	m	m	PROPN
ijassa-1006	305	7	5.2	5.2	NUM
ijassa-1006	305	8	.	.	PUNCT
ijassa-1006	306	1	performance	performance	NOUN
ijassa-1006	306	2	indicators	indicator	NOUN
ijassa-1006	306	3	in	in	ADP
ijassa-1006	306	4	our	our	PRON
ijassa-1006	306	5	experimental	experimental	ADJ
ijassa-1006	306	6	study	study	NOUN
ijassa-1006	306	7	,	,	PUNCT
ijassa-1006	306	8	in	in	SCONJ
ijassa-1006	306	9	order	order	NOUN
ijassa-1006	306	10	to	to	PART
ijassa-1006	306	11	make	make	VERB
ijassa-1006	306	12	a	a	DET
ijassa-1006	306	13	fair	fair	ADJ
ijassa-1006	306	14	comparison	comparison	NOUN
ijassa-1006	306	15	of	of	ADP
ijassa-1006	306	16	the	the	DET
ijassa-1006	306	17	different	different	ADJ
ijassa-1006	306	18	optimization	optimization	NOUN
ijassa-1006	306	19	algorithms	algorithm	NOUN
ijassa-1006	306	20	,	,	PUNCT
ijassa-1006	306	21	performance	performance	NOUN
ijassa-1006	306	22	measures	measure	NOUN
ijassa-1006	306	23	relevant	relevant	ADJ
ijassa-1006	306	24	and	and	CCONJ
ijassa-1006	306	25	applicable	applicable	ADJ
ijassa-1006	306	26	to	to	ADP
ijassa-1006	306	27	the	the	DET
ijassa-1006	306	28	optimization	optimization	NOUN
ijassa-1006	306	29	objectives	objective	NOUN
ijassa-1006	306	30	of	of	ADP
ijassa-1006	306	31	convergence	convergence	NOUN
ijassa-1006	306	32	and	and	CCONJ
ijassa-1006	306	33	distribution	distribution	NOUN
ijassa-1006	306	34	must	must	AUX
ijassa-1006	306	35	be	be	AUX
ijassa-1006	306	36	used	use	VERB
ijassa-1006	306	37	.	.	PUNCT
ijassa-1006	307	1	two	two	NUM
ijassa-1006	307	2	widely	widely	ADV
ijassa-1006	307	3	used	use	VERB
ijassa-1006	307	4	measures	measure	NOUN
ijassa-1006	307	5	are	be	AUX
ijassa-1006	307	6	chosen	choose	VERB
ijassa-1006	307	7	to	to	PART
ijassa-1006	307	8	evaluate	evaluate	VERB
ijassa-1006	307	9	the	the	DET
ijassa-1006	307	10	performance	performance	NOUN
ijassa-1006	307	11	of	of	ADP
ijassa-1006	307	12	each	each	DET
ijassa-1006	307	13	algorithm	algorithm	NOUN
ijassa-1006	307	14	,	,	PUNCT
ijassa-1006	307	15	which	which	PRON
ijassa-1006	307	16	are	be	AUX
ijassa-1006	307	17	called	call	VERB
ijassa-1006	307	18	the	the	DET
ijassa-1006	307	19	generational	generational	ADJ
ijassa-1006	307	20	distance	distance	NOUN
ijassa-1006	307	21	[	[	X
ijassa-1006	307	22	57	57	NUM
ijassa-1006	307	23	]	]	PUNCT
ijassa-1006	307	24	,	,	PUNCT
ijassa-1006	307	25	and	and	CCONJ
ijassa-1006	307	26	the	the	DET
ijassa-1006	307	27	inverted	inverted	ADJ
ijassa-1006	307	28	generational	generational	ADJ
ijassa-1006	307	29	distance	distance	NOUN
ijassa-1006	307	30	(	(	PUNCT
ijassa-1006	307	31	igd	igd	PROPN
ijassa-1006	307	32	)	)	PUNCT
ijassa-1006	308	1	[	[	X
ijassa-1006	308	2	58	58	NUM
ijassa-1006	308	3	]	]	PUNCT
ijassa-1006	308	4	.	.	PUNCT
ijassa-1006	309	1	gd	gd	PROPN
ijassa-1006	309	2	and	and	CCONJ
ijassa-1006	309	3	igd	igd	NOUN
ijassa-1006	309	4	can	can	AUX
ijassa-1006	309	5	effectively	effectively	ADV
ijassa-1006	309	6	measure	measure	VERB
ijassa-1006	309	7	the	the	DET
ijassa-1006	309	8	convergence	convergence	NOUN
ijassa-1006	309	9	and	and	CCONJ
ijassa-1006	309	10	diversity	diversity	NOUN
ijassa-1006	309	11	of	of	ADP
ijassa-1006	309	12	the	the	DET
ijassa-1006	309	13	obtained	obtain	VERB
ijassa-1006	309	14	solutions	solution	NOUN
ijassa-1006	309	15	,	,	PUNCT
ijassa-1006	309	16	respectively	respectively	ADV
ijassa-1006	309	17	.	.	PUNCT
ijassa-1006	310	1	convergence	convergence	NOUN
ijassa-1006	310	2	describes	describe	VERB
ijassa-1006	310	3	the	the	DET
ijassa-1006	310	4	degree	degree	NOUN
ijassa-1006	310	5	of	of	ADP
ijassa-1006	310	6	approximation	approximation	NOUN
ijassa-1006	310	7	of	of	ADP
ijassa-1006	310	8	the	the	DET
ijassa-1006	310	9	result	result	NOUN
ijassa-1006	310	10	obtained	obtain	VERB
ijassa-1006	310	11	by	by	ADP
ijassa-1006	310	12	the	the	DET
ijassa-1006	310	13	algorithm	algorithm	NOUN
ijassa-1006	310	14	to	to	ADP
ijassa-1006	310	15	the	the	DET
ijassa-1006	310	16	true	true	ADJ
ijassa-1006	310	17	pareto	pareto	ADJ
ijassa-1006	310	18	front	front	NOUN
ijassa-1006	310	19	(	(	PUNCT
ijassa-1006	310	20	pf	pf	NOUN
ijassa-1006	310	21	)	)	PUNCT
ijassa-1006	310	22	.	.	PUNCT
ijassa-1006	311	1	the	the	PRON
ijassa-1006	311	2	stronger	strong	ADJ
ijassa-1006	311	3	the	the	DET
ijassa-1006	311	4	convergence	convergence	NOUN
ijassa-1006	311	5	of	of	ADP
ijassa-1006	311	6	the	the	DET
ijassa-1006	311	7	algorithm	algorithm	NOUN
ijassa-1006	311	8	,	,	PUNCT
ijassa-1006	311	9	the	the	PRON
ijassa-1006	311	10	closer	close	ADV
ijassa-1006	311	11	the	the	DET
ijassa-1006	311	12	set	set	NOUN
ijassa-1006	311	13	of	of	ADP
ijassa-1006	311	14	solutions	solution	NOUN
ijassa-1006	311	15	is	be	AUX
ijassa-1006	311	16	to	to	ADP
ijassa-1006	311	17	the	the	DET
ijassa-1006	311	18	true	true	ADJ
ijassa-1006	311	19	optimal	optimal	ADJ
ijassa-1006	311	20	solution	solution	NOUN
ijassa-1006	311	21	and	and	CCONJ
ijassa-1006	311	22	the	the	DET
ijassa-1006	311	23	more	more	ADV
ijassa-1006	311	24	precise	precise	ADJ
ijassa-1006	311	25	the	the	DET
ijassa-1006	311	26	result	result	NOUN
ijassa-1006	311	27	.	.	PUNCT
ijassa-1006	312	1	the	the	DET
ijassa-1006	312	2	distribution	distribution	NOUN
ijassa-1006	312	3	describes	describe	VERB
ijassa-1006	312	4	the	the	DET
ijassa-1006	312	5	distribution	distribution	NOUN
ijassa-1006	312	6	characteristics	characteristic	NOUN
ijassa-1006	312	7	of	of	ADP
ijassa-1006	312	8	the	the	DET
ijassa-1006	312	9	result	result	NOUN
ijassa-1006	312	10	obtained	obtain	VERB
ijassa-1006	312	11	in	in	ADP
ijassa-1006	312	12	the	the	DET
ijassa-1006	312	13	objective	objective	ADJ
ijassa-1006	312	14	space	space	NOUN
ijassa-1006	312	15	.	.	PUNCT
ijassa-1006	313	1	on	on	ADP
ijassa-1006	313	2	the	the	DET
ijassa-1006	313	3	one	one	NUM
ijassa-1006	313	4	hand	hand	NOUN
ijassa-1006	313	5	,	,	PUNCT
ijassa-1006	313	6	the	the	DET
ijassa-1006	313	7	results	result	NOUN
ijassa-1006	313	8	should	should	AUX
ijassa-1006	313	9	be	be	AUX
ijassa-1006	313	10	distributed	distribute	VERB
ijassa-1006	313	11	as	as	ADV
ijassa-1006	313	12	much	much	ADV
ijassa-1006	313	13	as	as	ADP
ijassa-1006	313	14	possible	possible	ADJ
ijassa-1006	313	15	over	over	ADP
ijassa-1006	313	16	the	the	DET
ijassa-1006	313	17	entire	entire	ADJ
ijassa-1006	313	18	pf	pf	NOUN
ijassa-1006	313	19	,	,	PUNCT
ijassa-1006	313	20	and	and	CCONJ
ijassa-1006	313	21	on	on	ADP
ijassa-1006	313	22	the	the	DET
ijassa-1006	313	23	other	other	ADJ
ijassa-1006	313	24	hand	hand	NOUN
ijassa-1006	313	25	,	,	PUNCT
ijassa-1006	313	26	the	the	DET
ijassa-1006	313	27	results	result	NOUN
ijassa-1006	313	28	should	should	AUX
ijassa-1006	313	29	be	be	AUX
ijassa-1006	313	30	distributed	distribute	VERB
ijassa-1006	313	31	as	as	ADV
ijassa-1006	313	32	evenly	evenly	ADV
ijassa-1006	313	33	as	as	ADP
ijassa-1006	313	34	possible	possible	ADJ
ijassa-1006	313	35	.	.	PUNCT
ijassa-1006	314	1	the	the	PRON
ijassa-1006	314	2	stronger	strong	ADJ
ijassa-1006	314	3	the	the	DET
ijassa-1006	314	4	distribution	distribution	NOUN
ijassa-1006	314	5	of	of	ADP
ijassa-1006	314	6	the	the	DET
ijassa-1006	314	7	algorithm	algorithm	NOUN
ijassa-1006	314	8	,	,	PUNCT
ijassa-1006	314	9	the	the	PRON
ijassa-1006	314	10	better	well	ADJ
ijassa-1006	314	11	the	the	DET
ijassa-1006	314	12	overall	overall	ADJ
ijassa-1006	314	13	exploration	exploration	NOUN
ijassa-1006	314	14	capacity	capacity	NOUN
ijassa-1006	314	15	of	of	ADP
ijassa-1006	314	16	the	the	DET
ijassa-1006	314	17	algorithm	algorithm	NOUN
ijassa-1006	314	18	.	.	PUNCT
ijassa-1006	315	1	5.2.1	5.2.1	X
ijassa-1006	315	2	.	.	PUNCT
ijassa-1006	315	3	generational	generational	ADJ
ijassa-1006	315	4	distance	distance	NOUN
ijassa-1006	315	5	(	(	PUNCT
ijassa-1006	315	6	gd	gd	NOUN
ijassa-1006	315	7	)	)	PUNCT
ijassa-1006	315	8	generational	generational	ADJ
ijassa-1006	315	9	distance	distance	NOUN
ijassa-1006	315	10	(	(	PUNCT
ijassa-1006	315	11	gd	gd	NOUN
ijassa-1006	315	12	)	)	PUNCT
ijassa-1006	315	13	is	be	AUX
ijassa-1006	315	14	a	a	DET
ijassa-1006	315	15	unary	unary	ADJ
ijassa-1006	315	16	performance	performance	NOUN
ijassa-1006	315	17	indicator	indicator	NOUN
ijassa-1006	315	18	that	that	PRON
ijassa-1006	315	19	is	be	AUX
ijassa-1006	315	20	defined	define	VERB
ijassa-1006	315	21	as	as	ADP
ijassa-1006	315	22	:	:	PUNCT
ijassa-1006	315	23	a	a	DET
ijassa-1006	315	24	novel	novel	ADJ
ijassa-1006	315	25	two	two	NUM
ijassa-1006	315	26	-	-	PUNCT
ijassa-1006	315	27	stage	stage	NOUN
ijassa-1006	315	28	hybrid	hybrid	ADJ
ijassa-1006	315	29	multi	multi	ADJ
ijassa-1006	315	30	-	-	ADJ
ijassa-1006	315	31	objective	objective	ADJ
ijassa-1006	315	32	differential	differential	ADJ
ijassa-1006	315	33	evolution	evolution	NOUN
ijassa-1006	315	34	…	…	PUNCT
ijassa-1006	315	35	167	167	NUM
ijassa-1006	315	36	copyright	copyright	NOUN
ijassa-1006	315	37	©	©	PROPN
ijassa-1006	315	38	2023	2023	NUM
ijassa-1006	315	39	assa	assa	NOUN
ijassa-1006	315	40	.	.	PUNCT
ijassa-1006	316	1	adv	adv	PROPN
ijassa-1006	316	2	.	.	PUNCT
ijassa-1006	317	1	in	in	ADP
ijassa-1006	317	2	systems	system	NOUN
ijassa-1006	317	3	science	science	NOUN
ijassa-1006	317	4	and	and	CCONJ
ijassa-1006	317	5	appl	appl	NOUN
ijassa-1006	317	6	.	.	PUNCT
ijassa-1006	318	1	(	(	PUNCT
ijassa-1006	318	2	2023	2023	NUM
ijassa-1006	318	3	)	)	PUNCT
ijassa-1006	318	4	𝐺𝐷	𝐺𝐷	PROPN
ijassa-1006	318	5	=	=	SYM
ijassa-1006	318	6	𝑑(𝑃∗	𝑑(𝑃∗	PROPN
ijassa-1006	318	7	,	,	PUNCT
ijassa-1006	318	8	𝑃	𝑃	NOUN
ijassa-1006	318	9	)	)	PUNCT
ijassa-1006	318	10	𝑁	𝑁	PROPN
ijassa-1006	318	11	,	,	PUNCT
ijassa-1006	318	12	(	(	PUNCT
ijassa-1006	318	13	5.1	5.1	NUM
ijassa-1006	318	14	)	)	PUNCT
ijassa-1006	318	15	where	where	SCONJ
ijassa-1006	318	16	𝑁	𝑁	PROPN
ijassa-1006	318	17	is	be	AUX
ijassa-1006	318	18	the	the	DET
ijassa-1006	318	19	number	number	NOUN
ijassa-1006	318	20	of	of	ADP
ijassa-1006	318	21	solutions	solution	NOUN
ijassa-1006	318	22	in	in	ADP
ijassa-1006	318	23	𝑃𝐹∗	𝑃𝐹∗	PROPN
ijassa-1006	318	24	,	,	PUNCT
ijassa-1006	318	25	𝑝	𝑝	PROPN
ijassa-1006	318	26	∈	∈	PROPN
ijassa-1006	318	27	𝑃𝐹	𝑃𝐹	NOUN
ijassa-1006	318	28	,	,	PUNCT
ijassa-1006	318	29	𝑝∗	𝑝∗	PROPN
ijassa-1006	318	30	∈	∈	PROPN
ijassa-1006	318	31	𝑃𝐹∗	𝑃𝐹∗	PROPN
ijassa-1006	318	32	and	and	CCONJ
ijassa-1006	318	33	𝑑(𝑝∗	𝑑(𝑝∗	NOUN
ijassa-1006	318	34	,	,	PUNCT
ijassa-1006	318	35	𝑝	𝑝	NOUN
ijassa-1006	318	36	)	)	PUNCT
ijassa-1006	318	37	the	the	DET
ijassa-1006	318	38	minimum	minimum	ADJ
ijassa-1006	318	39	euclidean	euclidean	ADJ
ijassa-1006	318	40	distance	distance	NOUN
ijassa-1006	318	41	in	in	ADP
ijassa-1006	318	42	the	the	DET
ijassa-1006	318	43	objective	objective	ADJ
ijassa-1006	318	44	space	space	NOUN
ijassa-1006	318	45	between	between	ADP
ijassa-1006	318	46	𝑝∗	𝑝∗	PROPN
ijassa-1006	318	47	and	and	CCONJ
ijassa-1006	318	48	𝑝	𝑝	NOUN
ijassa-1006	318	49	for	for	ADP
ijassa-1006	318	50	each	each	DET
ijassa-1006	318	51	member	member	NOUN
ijassa-1006	318	52	𝑖.	𝑖.	PROPN
ijassa-1006	318	53	gd	gd	PROPN
ijassa-1006	318	54	illustrates	illustrate	VERB
ijassa-1006	318	55	the	the	DET
ijassa-1006	318	56	convergence	convergence	NOUN
ijassa-1006	318	57	capacity	capacity	NOUN
ijassa-1006	318	58	of	of	ADP
ijassa-1006	318	59	the	the	DET
ijassa-1006	318	60	algorithm	algorithm	NOUN
ijassa-1006	318	61	by	by	ADP
ijassa-1006	318	62	measuring	measure	VERB
ijassa-1006	318	63	the	the	DET
ijassa-1006	318	64	convergence	convergence	NOUN
ijassa-1006	318	65	between	between	ADP
ijassa-1006	318	66	the	the	DET
ijassa-1006	318	67	optimal	optimal	ADJ
ijassa-1006	318	68	pareto	pareto	ADJ
ijassa-1006	318	69	front	front	NOUN
ijassa-1006	318	70	and	and	CCONJ
ijassa-1006	318	71	the	the	DET
ijassa-1006	318	72	evolved	evolve	VERB
ijassa-1006	318	73	pareto	pareto	ADJ
ijassa-1006	318	74	front	front	NOUN
ijassa-1006	318	75	.	.	PUNCT
ijassa-1006	319	1	thus	thus	ADV
ijassa-1006	319	2	,	,	PUNCT
ijassa-1006	319	3	a	a	DET
ijassa-1006	319	4	lower	low	ADJ
ijassa-1006	319	5	value	value	NOUN
ijassa-1006	319	6	of	of	ADP
ijassa-1006	319	7	gd	gd	PROPN
ijassa-1006	319	8	shows	show	VERB
ijassa-1006	319	9	that	that	SCONJ
ijassa-1006	319	10	the	the	DET
ijassa-1006	319	11	evolved	evolved	ADJ
ijassa-1006	319	12	pareto	pareto	ADJ
ijassa-1006	319	13	front	front	NOUN
ijassa-1006	319	14	is	be	AUX
ijassa-1006	319	15	closer	close	ADJ
ijassa-1006	319	16	to	to	ADP
ijassa-1006	319	17	the	the	DET
ijassa-1006	319	18	optimal	optimal	ADJ
ijassa-1006	319	19	pareto	pareto	ADJ
ijassa-1006	319	20	front	front	NOUN
ijassa-1006	319	21	.	.	PUNCT
ijassa-1006	320	1	this	this	DET
ijassa-1006	320	2	indicator	indicator	NOUN
ijassa-1006	320	3	is	be	AUX
ijassa-1006	320	4	a	a	DET
ijassa-1006	320	5	representative	representative	ADJ
ijassa-1006	320	6	metric	metric	NOUN
ijassa-1006	320	7	that	that	PRON
ijassa-1006	320	8	provides	provide	VERB
ijassa-1006	320	9	a	a	DET
ijassa-1006	320	10	quantitative	quantitative	ADJ
ijassa-1006	320	11	measure	measure	NOUN
ijassa-1006	320	12	of	of	ADP
ijassa-1006	320	13	the	the	DET
ijassa-1006	320	14	multi	multi	ADJ
ijassa-1006	320	15	-	-	ADJ
ijassa-1006	320	16	objective	objective	ADJ
ijassa-1006	320	17	optimization	optimization	NOUN
ijassa-1006	320	18	convergence	convergence	NOUN
ijassa-1006	320	19	goal	goal	NOUN
ijassa-1006	320	20	.	.	PUNCT
ijassa-1006	321	1	5.1.2	5.1.2	X
ijassa-1006	321	2	.	.	NUM
ijassa-1006	321	3	inverted	invert	VERB
ijassa-1006	321	4	generational	generational	ADJ
ijassa-1006	321	5	distance	distance	NOUN
ijassa-1006	321	6	(	(	PUNCT
ijassa-1006	321	7	igd	igd	PROPN
ijassa-1006	321	8	):	):	PUNCT
ijassa-1006	321	9	igd	igd	NOUN
ijassa-1006	321	10	is	be	AUX
ijassa-1006	321	11	a	a	DET
ijassa-1006	321	12	unary	unary	ADJ
ijassa-1006	321	13	indicator	indicator	NOUN
ijassa-1006	321	14	by	by	ADP
ijassa-1006	321	15	which	which	PRON
ijassa-1006	321	16	the	the	DET
ijassa-1006	321	17	distance	distance	NOUN
ijassa-1006	321	18	of	of	ADP
ijassa-1006	321	19	each	each	DET
ijassa-1006	321	20	solution	solution	NOUN
ijassa-1006	321	21	in	in	ADP
ijassa-1006	321	22	the	the	DET
ijassa-1006	321	23	optimal	optimal	ADJ
ijassa-1006	321	24	pareto	pareto	ADJ
ijassa-1006	321	25	front	front	NOUN
ijassa-1006	321	26	to	to	ADP
ijassa-1006	321	27	the	the	DET
ijassa-1006	321	28	obtained	obtain	VERB
ijassa-1006	321	29	pareto	pareto	ADJ
ijassa-1006	321	30	front	front	NOUN
ijassa-1006	321	31	is	be	AUX
ijassa-1006	321	32	calculated	calculate	VERB
ijassa-1006	321	33	.	.	PUNCT
ijassa-1006	322	1	let	let	VERB
ijassa-1006	322	2	*	*	PUNCT
ijassa-1006	322	3	p	p	NOUN
ijassa-1006	322	4	be	be	AUX
ijassa-1006	322	5	a	a	DET
ijassa-1006	322	6	set	set	NOUN
ijassa-1006	322	7	of	of	ADP
ijassa-1006	322	8	solutions	solution	NOUN
ijassa-1006	322	9	uniformly	uniformly	ADV
ijassa-1006	322	10	distributed	distribute	VERB
ijassa-1006	322	11	in	in	ADP
ijassa-1006	322	12	objective	objective	ADJ
ijassa-1006	322	13	space	space	NOUN
ijassa-1006	322	14	along	along	ADP
ijassa-1006	322	15	the	the	DET
ijassa-1006	322	16	pareto	pareto	ADJ
ijassa-1006	322	17	front	front	NOUN
ijassa-1006	322	18	.	.	PUNCT
ijassa-1006	323	1	p	p	NOUN
ijassa-1006	323	2	is	be	AUX
ijassa-1006	323	3	an	an	DET
ijassa-1006	323	4	approximation	approximation	NOUN
ijassa-1006	323	5	of	of	ADP
ijassa-1006	323	6	the	the	DET
ijassa-1006	323	7	pf	pf	PROPN
ijassa-1006	323	8	,	,	PUNCT
ijassa-1006	323	9	which	which	PRON
ijassa-1006	323	10	is	be	AUX
ijassa-1006	323	11	obtained	obtain	VERB
ijassa-1006	323	12	by	by	ADP
ijassa-1006	323	13	the	the	DET
ijassa-1006	323	14	algorithm	algorithm	NOUN
ijassa-1006	323	15	.	.	PUNCT
ijassa-1006	324	1	igd	igd	PROPN
ijassa-1006	324	2	is	be	AUX
ijassa-1006	324	3	described	describe	VERB
ijassa-1006	324	4	as	as	ADP
ijassa-1006	324	5	:	:	PUNCT
ijassa-1006	324	6	𝐼𝐺𝐷(𝑃	𝐼𝐺𝐷(𝑃	ADJ
ijassa-1006	324	7	,	,	PUNCT
ijassa-1006	324	8	𝑃∗	𝑃∗	NUM
ijassa-1006	324	9	)	)	PUNCT
ijassa-1006	324	10	=	=	SYM
ijassa-1006	324	11	𝑑𝑖𝑠𝑡(𝑃∗	𝑑𝑖𝑠𝑡(𝑃∗	ADJ
ijassa-1006	324	12	,	,	PUNCT
ijassa-1006	324	13	𝑃	𝑃	NOUN
ijassa-1006	324	14	)	)	PUNCT
ijassa-1006	324	15	|	|	ADV
ijassa-1006	324	16	∗|	∗|	NOUN
ijassa-1006	324	17	|𝑃∗|	|𝑃∗|	NOUN
ijassa-1006	324	18	,	,	PUNCT
ijassa-1006	324	19	(	(	PUNCT
ijassa-1006	324	20	5.2	5.2	NUM
ijassa-1006	324	21	)	)	PUNCT
ijassa-1006	324	22	where	where	SCONJ
ijassa-1006	324	23	dist(𝑃∗	dist(𝑃∗	NOUN
ijassa-1006	324	24	,	,	PUNCT
ijassa-1006	324	25	𝑃	𝑃	PROPN
ijassa-1006	324	26	)	)	PUNCT
ijassa-1006	324	27	is	be	AUX
ijassa-1006	324	28	the	the	DET
ijassa-1006	324	29	euclidean	euclidean	ADJ
ijassa-1006	324	30	distance	distance	NOUN
ijassa-1006	324	31	between	between	ADP
ijassa-1006	324	32	a	a	DET
ijassa-1006	324	33	point	point	NOUN
ijassa-1006	324	34	𝑥∗	𝑥∗	PROPN
ijassa-1006	324	35	∈	∈	PROPN
ijassa-1006	324	36	𝑃∗	𝑃∗	VERB
ijassa-1006	324	37	and	and	CCONJ
ijassa-1006	324	38	its	its	PRON
ijassa-1006	324	39	nearest	near	ADJ
ijassa-1006	324	40	neighbor	neighbor	NOUN
ijassa-1006	324	41	in	in	ADP
ijassa-1006	324	42	𝑃	𝑃	PROPN
ijassa-1006	324	43	,	,	PUNCT
ijassa-1006	324	44	and	and	CCONJ
ijassa-1006	324	45	|𝑃∗|	|𝑃∗|	NOUN
ijassa-1006	324	46	is	be	AUX
ijassa-1006	324	47	the	the	DET
ijassa-1006	324	48	cardinality	cardinality	NOUN
ijassa-1006	324	49	of	of	ADP
ijassa-1006	324	50	𝑃∗.	𝑃∗.	PROPN
ijassa-1006	324	51	we	we	PRON
ijassa-1006	324	52	can	can	AUX
ijassa-1006	324	53	see	see	VERB
ijassa-1006	324	54	from	from	ADP
ijassa-1006	324	55	the	the	DET
ijassa-1006	324	56	definition	definition	NOUN
ijassa-1006	324	57	of	of	ADP
ijassa-1006	324	58	igd	igd	NOUN
ijassa-1006	324	59	that	that	PRON
ijassa-1006	324	60	for	for	ADP
ijassa-1006	324	61	a	a	DET
ijassa-1006	324	62	large	large	ADJ
ijassa-1006	324	63	|𝑃∗|	|𝑃∗|	NOUN
ijassa-1006	324	64	,	,	PUNCT
ijassa-1006	324	65	it	it	PRON
ijassa-1006	324	66	can	can	AUX
ijassa-1006	324	67	cover	cover	VERB
ijassa-1006	324	68	approximately	approximately	ADV
ijassa-1006	324	69	the	the	DET
ijassa-1006	324	70	entire	entire	ADJ
ijassa-1006	324	71	pareto	pareto	ADJ
ijassa-1006	324	72	front	front	NOUN
ijassa-1006	324	73	,	,	PUNCT
ijassa-1006	324	74	which	which	PRON
ijassa-1006	324	75	is	be	AUX
ijassa-1006	324	76	another	another	DET
ijassa-1006	324	77	aspect	aspect	NOUN
ijassa-1006	324	78	of	of	ADP
ijassa-1006	324	79	the	the	DET
ijassa-1006	324	80	metric	metric	NOUN
ijassa-1006	324	81	in	in	ADP
ijassa-1006	324	82	terms	term	NOUN
ijassa-1006	324	83	of	of	ADP
ijassa-1006	324	84	diversity	diversity	NOUN
ijassa-1006	324	85	.	.	PUNCT
ijassa-1006	325	1	5.3	5.3	NUM
ijassa-1006	325	2	.	.	PUNCT
ijassa-1006	325	3	results	result	NOUN
ijassa-1006	325	4	for	for	ADP
ijassa-1006	325	5	the	the	DET
ijassa-1006	325	6	other	other	ADJ
ijassa-1006	325	7	algorithms	algorithm	NOUN
ijassa-1006	325	8	compared	compare	VERB
ijassa-1006	325	9	,	,	PUNCT
ijassa-1006	325	10	their	their	PRON
ijassa-1006	325	11	parameter	parameter	NOUN
ijassa-1006	325	12	settings	setting	NOUN
ijassa-1006	325	13	used	use	VERB
ijassa-1006	325	14	in	in	ADP
ijassa-1006	325	15	this	this	DET
ijassa-1006	325	16	study	study	NOUN
ijassa-1006	325	17	followed	follow	VERB
ijassa-1006	325	18	those	those	PRON
ijassa-1006	325	19	used	use	VERB
ijassa-1006	325	20	in	in	ADP
ijassa-1006	325	21	their	their	PRON
ijassa-1006	325	22	original	original	ADJ
ijassa-1006	325	23	studies	study	NOUN
ijassa-1006	325	24	.	.	PUNCT
ijassa-1006	326	1	the	the	DET
ijassa-1006	326	2	experimental	experimental	ADJ
ijassa-1006	326	3	settings	setting	NOUN
ijassa-1006	326	4	and	and	CCONJ
ijassa-1006	326	5	overall	overall	ADJ
ijassa-1006	326	6	parameters	parameter	NOUN
ijassa-1006	326	7	are	be	AUX
ijassa-1006	326	8	summarized	summarize	VERB
ijassa-1006	326	9	in	in	ADP
ijassa-1006	326	10	table	table	NOUN
ijassa-1006	326	11	5.2	5.2	NUM
ijassa-1006	326	12	.	.	PUNCT
ijassa-1006	327	1	the	the	DET
ijassa-1006	327	2	comparison	comparison	NOUN
ijassa-1006	327	3	was	be	AUX
ijassa-1006	327	4	made	make	VERB
ijassa-1006	327	5	to	to	PART
ijassa-1006	327	6	examine	examine	VERB
ijassa-1006	327	7	their	their	PRON
ijassa-1006	327	8	optimization	optimization	NOUN
ijassa-1006	327	9	performance	performance	NOUN
ijassa-1006	327	10	in	in	ADP
ijassa-1006	327	11	the	the	DET
ijassa-1006	327	12	test	test	NOUN
ijassa-1006	327	13	problems	problem	NOUN
ijassa-1006	327	14	described	describe	VERB
ijassa-1006	327	15	above	above	ADV
ijassa-1006	327	16	.	.	PUNCT
ijassa-1006	328	1	all	all	DET
ijassa-1006	328	2	algorithms	algorithm	NOUN
ijassa-1006	328	3	were	be	AUX
ijassa-1006	328	4	implemented	implement	VERB
ijassa-1006	328	5	in	in	ADP
ijassa-1006	328	6	matlab	matlab	PROPN
ijassa-1006	328	7	and	and	CCONJ
ijassa-1006	328	8	run	run	VERB
ijassa-1006	328	9	on	on	ADP
ijassa-1006	328	10	an	an	DET
ijassa-1006	328	11	intel	intel	NOUN
ijassa-1006	328	12	®	®	NOUN
ijassa-1006	328	13	core	core	NOUN
ijassa-1006	328	14	™	™	ADJ
ijassa-1006	328	15	i3	i3	NOUN
ijassa-1006	328	16	2.53	2.53	NUM
ijassa-1006	328	17	ghz	ghz	NOUN
ijassa-1006	328	18	computer	computer	NOUN
ijassa-1006	328	19	with	with	ADP
ijassa-1006	328	20	6	6	NUM
ijassa-1006	328	21	gb	gb	NOUN
ijassa-1006	328	22	memory	memory	NOUN
ijassa-1006	328	23	capacity	capacity	NOUN
ijassa-1006	328	24	.	.	PUNCT
ijassa-1006	329	1	table	table	NOUN
ijassa-1006	329	2	5.2	5.2	NUM
ijassa-1006	329	3	.	.	PUNCT
ijassa-1006	330	1	parameter	parameter	NOUN
ijassa-1006	330	2	values	value	NOUN
ijassa-1006	330	3	used	use	VERB
ijassa-1006	330	4	in	in	ADP
ijassa-1006	330	5	this	this	DET
ijassa-1006	330	6	comparison	comparison	NOUN
ijassa-1006	330	7	parameter	parameter	NOUN
ijassa-1006	330	8	settings	setting	NOUN
ijassa-1006	330	9	parameter	parameter	PROPN
ijassa-1006	330	10	values	value	NOUN
ijassa-1006	330	11	population	population	NOUN
ijassa-1006	330	12	size	size	NOUN
ijassa-1006	330	13	for	for	ADP
ijassa-1006	330	14	all	all	DET
ijassa-1006	330	15	algorithms	algorithm	NOUN
ijassa-1006	330	16	100	100	NUM
ijassa-1006	330	17	for	for	ADP
ijassa-1006	330	18	problems	problem	NOUN
ijassa-1006	330	19	with	with	ADP
ijassa-1006	330	20	2	2	NUM
ijassa-1006	330	21	objectives	objective	NOUN
ijassa-1006	330	22	300	300	NUM
ijassa-1006	330	23	for	for	ADP
ijassa-1006	330	24	problems	problem	NOUN
ijassa-1006	330	25	with	with	ADP
ijassa-1006	330	26	3	3	NUM
ijassa-1006	330	27	objectives	objective	NOUN
ijassa-1006	330	28	500	500	NUM
ijassa-1006	330	29	for	for	ADP
ijassa-1006	330	30	problems	problem	NOUN
ijassa-1006	330	31	with	with	ADP
ijassa-1006	330	32	5	5	NUM
ijassa-1006	330	33	objectives	objective	NOUN
ijassa-1006	330	34	stop	stop	VERB
ijassa-1006	330	35	criterion	criterion	NOUN
ijassa-1006	330	36	50,000	50,000	NUM
ijassa-1006	330	37	evaluations	evaluation	NOUN
ijassa-1006	330	38	function	function	VERB
ijassa-1006	330	39	with	with	ADP
ijassa-1006	330	40	2	2	NUM
ijassa-1006	330	41	objectives	objective	NOUN
ijassa-1006	330	42	150,000	150,000	NUM
ijassa-1006	330	43	evaluations	evaluation	NOUN
ijassa-1006	330	44	function	function	VERB
ijassa-1006	330	45	with	with	ADP
ijassa-1006	330	46	3	3	NUM
ijassa-1006	330	47	goals	goal	NOUN
ijassa-1006	330	48	250,000	250,000	NUM
ijassa-1006	330	49	evaluations	evaluation	NOUN
ijassa-1006	330	50	fonction	fonction	NOUN
ijassa-1006	330	51	with	with	ADP
ijassa-1006	330	52	5	5	NUM
ijassa-1006	330	53	goals	goal	NOUN
ijassa-1006	330	54	number	number	NOUN
ijassa-1006	330	55	of	of	ADP
ijassa-1006	330	56	decision	decision	NOUN
ijassa-1006	330	57	variables	variable	NOUN
ijassa-1006	330	58	for	for	ADP
ijassa-1006	330	59	zdt	zdt	PROPN
ijassa-1006	330	60	problems	problem	NOUN
ijassa-1006	330	61	300	300	NUM
ijassa-1006	330	62	for	for	ADP
ijassa-1006	330	63	zdt1	zdt1	NOUN
ijassa-1006	330	64	,	,	PUNCT
ijassa-1006	330	65	zdt2	zdt2	NOUN
ijassa-1006	330	66	and	and	CCONJ
ijassa-1006	330	67	zdt3	zdt3	PROPN
ijassa-1006	330	68	,	,	PUNCT
ijassa-1006	330	69	and	and	CCONJ
ijassa-1006	330	70	100	100	NUM
ijassa-1006	330	71	for	for	ADP
ijassa-1006	330	72	zdt4	zdt4	PROPN
ijassa-1006	330	73	and	and	CCONJ
ijassa-1006	330	74	zdt6	zdt6	NOUN
ijassa-1006	330	75	number	number	NOUN
ijassa-1006	330	76	of	of	ADP
ijassa-1006	330	77	decision	decision	NOUN
ijassa-1006	330	78	variables	variable	NOUN
ijassa-1006	330	79	for	for	ADP
ijassa-1006	330	80	dtlz	dtlz	ADJ
ijassa-1006	330	81	problems	problem	NOUN
ijassa-1006	330	82	12	12	NUM
ijassa-1006	330	83	for	for	ADP
ijassa-1006	330	84	dtlz1	dtlz1	NOUN
ijassa-1006	330	85	and	and	CCONJ
ijassa-1006	330	86	dtlz3	dtlz3	NOUN
ijassa-1006	330	87	,	,	PUNCT
ijassa-1006	330	88	and	and	CCONJ
ijassa-1006	330	89	120	120	NUM
ijassa-1006	330	90	for	for	ADP
ijassa-1006	330	91	all	all	DET
ijassa-1006	330	92	the	the	DET
ijassa-1006	330	93	other	other	ADJ
ijassa-1006	330	94	problems	problem	NOUN
ijassa-1006	330	95	dtlz	dtlz	ADJ
ijassa-1006	330	96	number	number	NOUN
ijassa-1006	330	97	of	of	ADP
ijassa-1006	330	98	independent	independent	ADJ
ijassa-1006	330	99	executions	execution	NOUN
ijassa-1006	330	100	30	30	NUM
ijassa-1006	330	101	for	for	ADP
ijassa-1006	330	102	each	each	DET
ijassa-1006	330	103	algorithm	algorithm	NOUN
ijassa-1006	330	104	mutation	mutation	NOUN
ijassa-1006	330	105	rate	rate	NOUN
ijassa-1006	330	106	1	1	NUM
ijassa-1006	330	107	/	/	SYM
ijassa-1006	330	108	n	n	PROPN
ijassa-1006	330	109	(	(	PUNCT
ijassa-1006	330	110	where	where	SCONJ
ijassa-1006	330	111	𝑛	𝑛	PROPN
ijassa-1006	330	112	is	be	AUX
ijassa-1006	330	113	the	the	DET
ijassa-1006	330	114	number	number	NOUN
ijassa-1006	330	115	of	of	ADP
ijassa-1006	330	116	decision	decision	NOUN
ijassa-1006	330	117	variables	variable	NOUN
ijassa-1006	330	118	)	)	PUNCT
ijassa-1006	330	119	crossover	crossover	ADP
ijassa-1006	330	120	rate	rate	NOUN
ijassa-1006	330	121	for	for	ADP
ijassa-1006	330	122	nsga	nsga	NOUN
ijassa-1006	330	123	-	-	PUNCT
ijassa-1006	330	124	ii	ii	NOUN
ijassa-1006	330	125	and	and	CCONJ
ijassa-1006	330	126	nsde	nsde	PRON
ijassa-1006	330	127	0.8	0.8	NUM
ijassa-1006	330	128	mutation	mutation	NOUN
ijassa-1006	330	129	scale	scale	NOUN
ijassa-1006	330	130	factor	factor	NOUN
ijassa-1006	330	131	for	for	ADP
ijassa-1006	330	132	nsde	nsde	PROPN
ijassa-1006	330	133	0.5	0.5	NUM
ijassa-1006	330	134	neighborhood	neighborhood	NOUN
ijassa-1006	330	135	size	size	NOUN
ijassa-1006	330	136	for	for	ADP
ijassa-1006	330	137	moea	moea	NOUN
ijassa-1006	330	138	/	/	SYM
ijassa-1006	330	139	d	d	NOUN
ijassa-1006	330	140	algorithms	algorithms	NOUN
ijassa-1006	330	141	20	20	NUM
ijassa-1006	330	142	inertia	inertia	NOUN
ijassa-1006	330	143	weight	weight	NOUN
ijassa-1006	330	144	for	for	ADP
ijassa-1006	330	145	the	the	DET
ijassa-1006	330	146	mopso	mopso	NOUN
ijassa-1006	330	147	algorithm	algorithm	NOUN
ijassa-1006	330	148	0.5	0.5	NUM
ijassa-1006	330	149	(	(	PUNCT
ijassa-1006	330	150	𝐶	𝐶	PROPN
ijassa-1006	330	151	,	,	PUNCT
ijassa-1006	330	152	𝐶	𝐶	PROPN
ijassa-1006	330	153	)	)	PUNCT
ijassa-1006	330	154	coéfficients	coéfficient	NOUN
ijassa-1006	330	155	for	for	ADP
ijassa-1006	330	156	mopso	mopso	NOUN
ijassa-1006	330	157	algorithm	algorithm	NOUN
ijassa-1006	330	158	𝐶	𝐶	PROPN
ijassa-1006	330	159	=	=	SYM
ijassa-1006	330	160	1	1	NUM
ijassa-1006	330	161	,	,	PUNCT
ijassa-1006	330	162	𝐶	𝐶	NOUN
ijassa-1006	330	163	=	=	SYM
ijassa-1006	330	164	2	2	NUM
ijassa-1006	330	165	comparative	comparative	ADJ
ijassa-1006	330	166	studies	study	NOUN
ijassa-1006	330	167	were	be	AUX
ijassa-1006	330	168	conducted	conduct	VERB
ijassa-1006	330	169	to	to	PART
ijassa-1006	330	170	evaluate	evaluate	VERB
ijassa-1006	330	171	the	the	DET
ijassa-1006	330	172	performance	performance	NOUN
ijassa-1006	330	173	of	of	ADP
ijassa-1006	330	174	the	the	DET
ijassa-1006	330	175	six	six	NUM
ijassa-1006	330	176	algorithms	algorithm	NOUN
ijassa-1006	330	177	as	as	ADP
ijassa-1006	330	178	part	part	NOUN
ijassa-1006	330	179	of	of	ADP
ijassa-1006	330	180	a	a	DET
ijassa-1006	330	181	comprehensive	comprehensive	ADJ
ijassa-1006	330	182	suite	suite	NOUN
ijassa-1006	330	183	of	of	ADP
ijassa-1006	330	184	benchmark	benchmark	NOUN
ijassa-1006	330	185	test	test	NOUN
ijassa-1006	330	186	functions	function	NOUN
ijassa-1006	330	187	.	.	PUNCT
ijassa-1006	331	1	the	the	DET
ijassa-1006	331	2	simulation	simulation	NOUN
ijassa-1006	331	3	results	result	VERB
ijassa-1006	331	4	in	in	ADP
ijassa-1006	331	5	terms	term	NOUN
ijassa-1006	331	6	of	of	ADP
ijassa-1006	331	7	measurement	measurement	NOUN
ijassa-1006	331	8	of	of	ADP
ijassa-1006	331	9	the	the	DET
ijassa-1006	331	10	mean	mean	ADJ
ijassa-1006	331	11	and	and	CCONJ
ijassa-1006	331	12	standard	standard	ADJ
ijassa-1006	331	13	deviation	deviation	NOUN
ijassa-1006	331	14	values	value	NOUN
ijassa-1006	331	15	of	of	ADP
ijassa-1006	331	16	the	the	DET
ijassa-1006	331	17	generational	generational	ADJ
ijassa-1006	331	18	distance	distance	NOUN
ijassa-1006	331	19	(	(	PUNCT
ijassa-1006	331	20	gd	gd	NOUN
ijassa-1006	331	21	)	)	PUNCT
ijassa-1006	331	22	and	and	CCONJ
ijassa-1006	331	23	the	the	DET
ijassa-1006	331	24	inverted	inverted	ADJ
ijassa-1006	331	25	generational	generational	ADJ
ijassa-1006	331	26	distance	distance	NOUN
ijassa-1006	331	27	(	(	PUNCT
ijassa-1006	331	28	igd	igd	PROPN
ijassa-1006	331	29	)	)	PUNCT
ijassa-1006	331	30	over	over	ADP
ijassa-1006	331	31	30	30	NUM
ijassa-1006	331	32	simulation	simulation	NOUN
ijassa-1006	331	33	cycles	cycle	NOUN
ijassa-1006	331	34	are	be	AUX
ijassa-1006	331	35	presented	present	VERB
ijassa-1006	331	36	in	in	ADP
ijassa-1006	331	37	tables	table	NOUN
ijassa-1006	331	38	5.3	5.3	NUM
ijassa-1006	331	39	,	,	PUNCT
ijassa-1006	331	40	5.4	5.4	NUM
ijassa-1006	331	41	and	and	CCONJ
ijassa-1006	331	42	5.5	5.5	NUM
ijassa-1006	331	43	.	.	PUNCT
ijassa-1006	332	1	the	the	DET
ijassa-1006	332	2	parentheses	parenthesis	NOUN
ijassa-1006	332	3	next	next	ADV
ijassa-1006	332	4	to	to	ADP
ijassa-1006	332	5	the	the	DET
ijassa-1006	332	6	test	test	NOUN
ijassa-1006	332	7	problems	problem	NOUN
ijassa-1006	332	8	indicate	indicate	VERB
ijassa-1006	332	9	the	the	DET
ijassa-1006	332	10	number	number	NOUN
ijassa-1006	332	11	of	of	ADP
ijassa-1006	332	12	goals	goal	NOUN
ijassa-1006	332	13	(	(	PUNCT
ijassa-1006	332	14	m	m	NOUN
ijassa-1006	332	15	)	)	PUNCT
ijassa-1006	332	16	and	and	CCONJ
ijassa-1006	332	17	decision	decision	NOUN
ijassa-1006	332	18	variables	variable	NOUN
ijassa-1006	332	19	(	(	PUNCT
ijassa-1006	332	20	d	d	NOUN
ijassa-1006	332	21	)	)	PUNCT
ijassa-1006	332	22	for	for	ADP
ijassa-1006	332	23	the	the	DET
ijassa-1006	332	24	problems	problem	NOUN
ijassa-1006	332	25	.	.	PUNCT
ijassa-1006	333	1	168	168	NUM
ijassa-1006	333	2	n.	n.	NOUN
ijassa-1006	333	3	boukhari	boukhari	NOUN
ijassa-1006	333	4	,	,	PUNCT
ijassa-1006	333	5	m.	m.	NOUN
ijassa-1006	333	6	a.	a.	NOUN
ijassa-1006	333	7	nemmich	nemmich	PROPN
ijassa-1006	333	8	,	,	PUNCT
ijassa-1006	333	9	f.	f.	PROPN
ijassa-1006	333	10	debbat	debbat	PROPN
ijassa-1006	333	11	,	,	PUNCT
ijassa-1006	333	12	n.	n.	NOUN
ijassa-1006	333	13	monmarché	monmarché	NOUN
ijassa-1006	333	14	,	,	PUNCT
ijassa-1006	333	15	m.	m.	NOUN
ijassa-1006	333	16	slimane	slimane	PROPN
ijassa-1006	333	17	copyright	copyright	NOUN
ijassa-1006	334	1	©	©	PROPN
ijassa-1006	334	2	0000	0000	NUM
ijassa-1006	334	3	assa	assa	PROPN
ijassa-1006	334	4	adv	adv	PROPN
ijassa-1006	334	5	.	.	PUNCT
ijassa-1006	335	1	in	in	ADP
ijassa-1006	335	2	systems	system	NOUN
ijassa-1006	335	3	science	science	NOUN
ijassa-1006	335	4	and	and	CCONJ
ijassa-1006	335	5	appl	appl	NOUN
ijassa-1006	335	6	.	.	PUNCT
ijassa-1006	336	1	(	(	PUNCT
ijassa-1006	336	2	0000	0000	NUM
ijassa-1006	336	3	)	)	PUNCT
ijassa-1006	336	4	zdt	zdt	PROPN
ijassa-1006	336	5	test	test	NOUN
ijassa-1006	336	6	problems	problem	NOUN
ijassa-1006	337	1	[	[	X
ijassa-1006	337	2	59	59	NUM
ijassa-1006	337	3	]	]	PUNCT
ijassa-1006	337	4	are	be	AUX
ijassa-1006	337	5	a	a	DET
ijassa-1006	337	6	set	set	NOUN
ijassa-1006	337	7	of	of	ADP
ijassa-1006	337	8	simple	simple	ADJ
ijassa-1006	337	9	bi	bi	ADJ
ijassa-1006	337	10	-	-	ADJ
ijassa-1006	337	11	objective	objective	ADJ
ijassa-1006	337	12	optimization	optimization	NOUN
ijassa-1006	337	13	problems	problem	NOUN
ijassa-1006	337	14	that	that	PRON
ijassa-1006	337	15	are	be	AUX
ijassa-1006	337	16	scalable	scalable	ADJ
ijassa-1006	337	17	in	in	ADP
ijassa-1006	337	18	the	the	DET
ijassa-1006	337	19	number	number	NOUN
ijassa-1006	337	20	of	of	ADP
ijassa-1006	337	21	decision	decision	NOUN
ijassa-1006	337	22	variables	variable	NOUN
ijassa-1006	337	23	and	and	CCONJ
ijassa-1006	337	24	have	have	VERB
ijassa-1006	337	25	different	different	ADJ
ijassa-1006	337	26	characteristics	characteristic	NOUN
ijassa-1006	337	27	in	in	ADP
ijassa-1006	337	28	the	the	DET
ijassa-1006	337	29	pareto	pareto	ADJ
ijassa-1006	337	30	optimal	optimal	ADJ
ijassa-1006	337	31	front	front	NOUN
ijassa-1006	337	32	such	such	ADJ
ijassa-1006	337	33	as	as	ADP
ijassa-1006	337	34	the	the	DET
ijassa-1006	337	35	convexity	convexity	NOUN
ijassa-1006	337	36	,	,	PUNCT
ijassa-1006	337	37	concavity	concavity	NOUN
ijassa-1006	337	38	,	,	PUNCT
ijassa-1006	337	39	discontinuity	discontinuity	NOUN
ijassa-1006	337	40	,	,	PUNCT
ijassa-1006	337	41	local	local	ADJ
ijassa-1006	337	42	optimality	optimality	NOUN
ijassa-1006	337	43	and	and	CCONJ
ijassa-1006	337	44	nonuniformity	nonuniformity	NOUN
ijassa-1006	337	45	.	.	PUNCT
ijassa-1006	338	1	since	since	SCONJ
ijassa-1006	338	2	most	most	ADJ
ijassa-1006	338	3	evolutionary	evolutionary	ADJ
ijassa-1006	338	4	algorithms	algorithm	NOUN
ijassa-1006	338	5	are	be	AUX
ijassa-1006	338	6	able	able	ADJ
ijassa-1006	338	7	to	to	PART
ijassa-1006	338	8	solve	solve	VERB
ijassa-1006	338	9	zdt	zdt	PROPN
ijassa-1006	338	10	problems	problem	NOUN
ijassa-1006	338	11	without	without	ADP
ijassa-1006	338	12	difficulty	difficulty	NOUN
ijassa-1006	338	13	,	,	PUNCT
ijassa-1006	338	14	the	the	DET
ijassa-1006	338	15	number	number	NOUN
ijassa-1006	338	16	of	of	ADP
ijassa-1006	338	17	decision	decision	NOUN
ijassa-1006	338	18	variables	variable	NOUN
ijassa-1006	338	19	was	be	AUX
ijassa-1006	338	20	set	set	VERB
ijassa-1006	338	21	at	at	ADP
ijassa-1006	338	22	ten	ten	NUM
ijassa-1006	338	23	times	time	NOUN
ijassa-1006	338	24	its	its	PRON
ijassa-1006	338	25	original	original	ADJ
ijassa-1006	338	26	parameters	parameter	NOUN
ijassa-1006	338	27	in	in	ADP
ijassa-1006	338	28	this	this	DET
ijassa-1006	338	29	study	study	NOUN
ijassa-1006	338	30	.	.	PUNCT
ijassa-1006	339	1	this	this	PRON
ijassa-1006	339	2	would	would	AUX
ijassa-1006	339	3	then	then	ADV
ijassa-1006	339	4	pose	pose	VERB
ijassa-1006	339	5	greater	great	ADJ
ijassa-1006	339	6	challenges	challenge	NOUN
ijassa-1006	339	7	to	to	ADP
ijassa-1006	339	8	the	the	DET
ijassa-1006	339	9	algorithms	algorithm	NOUN
ijassa-1006	339	10	due	due	ADP
ijassa-1006	339	11	to	to	ADP
ijassa-1006	339	12	a	a	DET
ijassa-1006	339	13	larger	large	ADJ
ijassa-1006	339	14	search	search	NOUN
ijassa-1006	339	15	space	space	NOUN
ijassa-1006	339	16	.	.	PUNCT
ijassa-1006	340	1	the	the	DET
ijassa-1006	340	2	results	result	NOUN
ijassa-1006	340	3	indicate	indicate	VERB
ijassa-1006	340	4	that	that	PRON
ijassa-1006	340	5	mode	mode	NOUN
ijassa-1006	340	6	-	-	PUNCT
ijassa-1006	340	7	obl	obl	PROPN
ijassa-1006	340	8	has	have	VERB
ijassa-1006	340	9	the	the	DET
ijassa-1006	340	10	best	good	ADJ
ijassa-1006	340	11	overall	overall	ADJ
ijassa-1006	340	12	performance	performance	NOUN
ijassa-1006	340	13	.	.	PUNCT
ijassa-1006	341	1	a	a	DET
ijassa-1006	341	2	notable	notable	ADJ
ijassa-1006	341	3	achievement	achievement	NOUN
ijassa-1006	341	4	of	of	ADP
ijassa-1006	341	5	mode	mode	NOUN
ijassa-1006	341	6	-	-	PUNCT
ijassa-1006	341	7	obl	obl	PROPN
ijassa-1006	341	8	is	be	AUX
ijassa-1006	341	9	its	its	PRON
ijassa-1006	341	10	ability	ability	NOUN
ijassa-1006	341	11	to	to	PART
ijassa-1006	341	12	achieve	achieve	VERB
ijassa-1006	341	13	convergence	convergence	NOUN
ijassa-1006	341	14	for	for	ADP
ijassa-1006	341	15	zdt4	zdt4	PROPN
ijassa-1006	341	16	when	when	SCONJ
ijassa-1006	341	17	all	all	DET
ijassa-1006	341	18	other	other	ADJ
ijassa-1006	341	19	algorithms	algorithm	NOUN
ijassa-1006	341	20	can	can	AUX
ijassa-1006	341	21	not	not	PART
ijassa-1006	341	22	for	for	ADP
ijassa-1006	341	23	this	this	DET
ijassa-1006	341	24	problem	problem	NOUN
ijassa-1006	341	25	.	.	PUNCT
ijassa-1006	342	1	the	the	DET
ijassa-1006	342	2	zdt4	zdt4	PROPN
ijassa-1006	342	3	problem	problem	NOUN
ijassa-1006	342	4	is	be	AUX
ijassa-1006	342	5	an	an	DET
ijassa-1006	342	6	extremely	extremely	ADV
ijassa-1006	342	7	multimodal	multimodal	ADJ
ijassa-1006	342	8	problem	problem	NOUN
ijassa-1006	342	9	with	with	ADP
ijassa-1006	342	10	the	the	DET
ijassa-1006	342	11	presence	presence	NOUN
ijassa-1006	342	12	of	of	ADP
ijassa-1006	342	13	many	many	ADJ
ijassa-1006	342	14	local	local	ADJ
ijassa-1006	342	15	optima	optima	NOUN
ijassa-1006	342	16	,	,	PUNCT
ijassa-1006	342	17	and	and	CCONJ
ijassa-1006	342	18	so	so	ADV
ijassa-1006	342	19	it	it	PRON
ijassa-1006	342	20	is	be	AUX
ijassa-1006	342	21	likely	likely	ADJ
ijassa-1006	342	22	that	that	SCONJ
ijassa-1006	342	23	the	the	DET
ijassa-1006	342	24	other	other	ADJ
ijassa-1006	342	25	algorithms	algorithm	NOUN
ijassa-1006	342	26	have	have	AUX
ijassa-1006	342	27	had	have	VERB
ijassa-1006	342	28	difficulty	difficulty	NOUN
ijassa-1006	342	29	being	be	AUX
ijassa-1006	342	30	trapped	trap	VERB
ijassa-1006	342	31	in	in	ADP
ijassa-1006	342	32	the	the	DET
ijassa-1006	342	33	local	local	ADJ
ijassa-1006	342	34	optima	optima	NOUN
ijassa-1006	342	35	.	.	PUNCT
ijassa-1006	343	1	the	the	DET
ijassa-1006	343	2	good	good	ADJ
ijassa-1006	343	3	overall	overall	ADJ
ijassa-1006	343	4	performance	performance	NOUN
ijassa-1006	343	5	obtained	obtain	VERB
ijassa-1006	343	6	by	by	ADP
ijassa-1006	343	7	mode	mode	PROPN
ijassa-1006	343	8	-	-	PUNCT
ijassa-1006	343	9	obl	obl	PROPN
ijassa-1006	343	10	can	can	AUX
ijassa-1006	343	11	be	be	AUX
ijassa-1006	343	12	attributed	attribute	VERB
ijassa-1006	343	13	to	to	ADP
ijassa-1006	343	14	the	the	DET
ijassa-1006	343	15	complementary	complementary	ADJ
ijassa-1006	343	16	effects	effect	NOUN
ijassa-1006	343	17	of	of	ADP
ijassa-1006	343	18	de	de	PROPN
ijassa-1006	343	19	based	base	VERB
ijassa-1006	343	20	on	on	ADP
ijassa-1006	343	21	opposition	opposition	NOUN
ijassa-1006	343	22	.	.	PUNCT
ijassa-1006	344	1	table	table	NOUN
ijassa-1006	344	2	5.3	5.3	NUM
ijassa-1006	344	3	.	.	PUNCT
ijassa-1006	345	1	results	result	NOUN
ijassa-1006	345	2	obtained	obtain	VERB
ijassa-1006	345	3	by	by	ADP
ijassa-1006	345	4	the	the	DET
ijassa-1006	345	5	algorithms	algorithm	NOUN
ijassa-1006	345	6	for	for	ADP
ijassa-1006	345	7	zdt	zdt	PROPN
ijassa-1006	345	8	problems	problem	NOUN
ijassa-1006	345	9	test	test	NOUN
ijassa-1006	345	10	problem	problem	NOUN
ijassa-1006	345	11	algorithm	algorithm	PROPN
ijassa-1006	345	12	igd	igd	PROPN
ijassa-1006	345	13	gd	gd	PROPN
ijassa-1006	345	14	zdt1(2,300	zdt1(2,300	ADJ
ijassa-1006	345	15	)	)	PUNCT
ijassa-1006	345	16	nsga	nsga	NOUN
ijassa-1006	345	17	-	-	PUNCT
ijassa-1006	345	18	ii	ii	PROPN
ijassa-1006	345	19	mopso	mopso	PROPN
ijassa-1006	345	20	nsde	nsde	PROPN
ijassa-1006	345	21	moea	moea	NOUN
ijassa-1006	345	22	/	/	SYM
ijassa-1006	345	23	d	d	ADJ
ijassa-1006	345	24	-	-	PUNCT
ijassa-1006	345	25	de	de	X
ijassa-1006	345	26	mode	mode	NOUN
ijassa-1006	345	27	-	-	PUNCT
ijassa-1006	345	28	rmo	rmo	PROPN
ijassa-1006	345	29	mode	mode	PROPN
ijassa-1006	345	30	-	-	PUNCT
ijassa-1006	345	31	obl	obl	PROPN
ijassa-1006	345	32	0.118	0.118	NUM
ijassa-1006	345	33	(	(	PUNCT
ijassa-1006	345	34	7.5e-03	7.5e-03	NUM
ijassa-1006	345	35	)	)	PUNCT
ijassa-1006	345	36	0.072	0.072	NUM
ijassa-1006	345	37	(	(	PUNCT
ijassa-1006	345	38	8.9e-03	8.9e-03	NUM
ijassa-1006	345	39	)	)	PUNCT
ijassa-1006	345	40	0.716	0.716	NUM
ijassa-1006	345	41	(	(	PUNCT
ijassa-1006	345	42	1.9e-01	1.9e-01	NUM
ijassa-1006	345	43	)	)	PUNCT
ijassa-1006	345	44	0.339	0.339	NUM
ijassa-1006	345	45	(	(	PUNCT
ijassa-1006	345	46	4.4e-02	4.4e-02	NUM
ijassa-1006	345	47	)	)	PUNCT
ijassa-1006	345	48	0.048	0.048	NUM
ijassa-1006	345	49	(	(	PUNCT
ijassa-1006	345	50	1.1e-03	1.1e-03	NUM
ijassa-1006	345	51	)	)	PUNCT
ijassa-1006	345	52	0.047	0.047	NUM
ijassa-1006	345	53	(	(	PUNCT
ijassa-1006	345	54	6.8e-04	6.8e-04	ADV
ijassa-1006	345	55	)	)	PUNCT
ijassa-1006	345	56	0.066	0.066	NUM
ijassa-1006	345	57	(	(	PUNCT
ijassa-1006	345	58	3.1e-03	3.1e-03	NUM
ijassa-1006	345	59	)	)	PUNCT
ijassa-1006	345	60	0.488	0.488	NUM
ijassa-1006	345	61	(	(	PUNCT
ijassa-1006	345	62	1.5e-01	1.5e-01	NUM
ijassa-1006	345	63	)	)	PUNCT
ijassa-1006	345	64	0.286	0.286	NUM
ijassa-1006	345	65	(	(	PUNCT
ijassa-1006	345	66	4.9e-02	4.9e-02	NOUN
ijassa-1006	345	67	)	)	PUNCT
ijassa-1006	345	68	0.189	0.189	NUM
ijassa-1006	345	69	(	(	PUNCT
ijassa-1006	345	70	4.5e-02	4.5e-02	NUM
ijassa-1006	345	71	)	)	PUNCT
ijassa-1006	345	72	0.054	0.054	NUM
ijassa-1006	345	73	(	(	PUNCT
ijassa-1006	345	74	3.3e-03	3.3e-03	NUM
ijassa-1006	345	75	)	)	PUNCT
ijassa-1006	345	76	0.052	0.052	NUM
ijassa-1006	345	77	(	(	PUNCT
ijassa-1006	345	78	3.1e-04	3.1e-04	NUM
ijassa-1006	345	79	)	)	PUNCT
ijassa-1006	345	80	zdt2(2,300	zdt2(2,300	NOUN
ijassa-1006	345	81	)	)	PUNCT
ijassa-1006	345	82	nsga	nsga	NOUN
ijassa-1006	345	83	-	-	PUNCT
ijassa-1006	345	84	ii	ii	PROPN
ijassa-1006	345	85	mopso	mopso	PROPN
ijassa-1006	345	86	nsde	nsde	PROPN
ijassa-1006	345	87	moea	moea	NOUN
ijassa-1006	345	88	/	/	SYM
ijassa-1006	345	89	d	d	ADJ
ijassa-1006	345	90	-	-	PUNCT
ijassa-1006	345	91	de	de	X
ijassa-1006	345	92	mode	mode	NOUN
ijassa-1006	345	93	-	-	PUNCT
ijassa-1006	345	94	rmo	rmo	PROPN
ijassa-1006	345	95	mode	mode	PROPN
ijassa-1006	345	96	-	-	PUNCT
ijassa-1006	345	97	obl	obl	PROPN
ijassa-1006	345	98	0.079	0.079	NUM
ijassa-1006	345	99	(	(	PUNCT
ijassa-1006	345	100	1.5e-02	1.5e-02	NUM
ijassa-1006	345	101	)	)	PUNCT
ijassa-1006	345	102	0.073	0.073	NUM
ijassa-1006	345	103	(	(	PUNCT
ijassa-1006	345	104	1.8e-03	1.8e-03	NUM
ijassa-1006	345	105	)	)	PUNCT
ijassa-1006	345	106	0.060	0.060	NUM
ijassa-1006	345	107	(	(	PUNCT
ijassa-1006	345	108	2.2e-03	2.2e-03	NUM
ijassa-1006	345	109	)	)	PUNCT
ijassa-1006	346	1	≈	≈	PROPN
ijassa-1006	346	2	0.099	0.099	NUM
ijassa-1006	346	3	(	(	PUNCT
ijassa-1006	346	4	2.9e-03	2.9e-03	NOUN
ijassa-1006	346	5	)	)	PUNCT
ijassa-1006	346	6	0.232	0.232	NUM
ijassa-1006	346	7	(	(	PUNCT
ijassa-1006	346	8	6.8e-02	6.8e-02	NUM
ijassa-1006	346	9	)	)	PUNCT
ijassa-1006	346	10	0.059	0.059	NUM
ijassa-1006	346	11	(	(	PUNCT
ijassa-1006	346	12	1.0e-02	1.0e-02	NUM
ijassa-1006	346	13	)	)	PUNCT
ijassa-1006	346	14	0.366	0.366	NUM
ijassa-1006	346	15	(	(	PUNCT
ijassa-1006	346	16	1.9e-02	1.9e-02	NUM
ijassa-1006	346	17	)	)	PUNCT
ijassa-1006	346	18	0.652	0.652	NUM
ijassa-1006	346	19	(	(	PUNCT
ijassa-1006	346	20	7.1e-02	7.1e-02	PROPN
ijassa-1006	346	21	)	)	PUNCT
ijassa-1006	346	22	0.400	0.400	NUM
ijassa-1006	346	23	(	(	PUNCT
ijassa-1006	346	24	2.2e-02	2.2e-02	NUM
ijassa-1006	346	25	)	)	PUNCT
ijassa-1006	346	26	2.889	2.889	NUM
ijassa-1006	346	27	(	(	PUNCT
ijassa-1006	346	28	1.1e-01	1.1e-01	NUM
ijassa-1006	346	29	)	)	PUNCT
ijassa-1006	346	30	1.594	1.594	NUM
ijassa-1006	346	31	(	(	PUNCT
ijassa-1006	346	32	2.1e-01	2.1e-01	NUM
ijassa-1006	346	33	)	)	PUNCT
ijassa-1006	346	34	0.339	0.339	NUM
ijassa-1006	346	35	(	(	PUNCT
ijassa-1006	346	36	1.8e-02	1.8e-02	NUM
ijassa-1006	346	37	)	)	PUNCT
ijassa-1006	346	38	zdt3(2,300	zdt3(2,300	NOUN
ijassa-1006	346	39	)	)	PUNCT
ijassa-1006	346	40	nsga	nsga	PROPN
ijassa-1006	346	41	-	-	PUNCT
ijassa-1006	346	42	ii	ii	PROPN
ijassa-1006	346	43	mopso	mopso	PROPN
ijassa-1006	346	44	nsde	nsde	PROPN
ijassa-1006	346	45	moea	moea	NOUN
ijassa-1006	346	46	/	/	SYM
ijassa-1006	346	47	d	d	ADJ
ijassa-1006	346	48	-	-	PUNCT
ijassa-1006	346	49	de	de	X
ijassa-1006	346	50	mode	mode	NOUN
ijassa-1006	346	51	-	-	PUNCT
ijassa-1006	346	52	rmo	rmo	PROPN
ijassa-1006	346	53	mode	mode	PROPN
ijassa-1006	346	54	-	-	PUNCT
ijassa-1006	346	55	obl	obl	PROPN
ijassa-1006	346	56	0.447	0.447	NUM
ijassa-1006	346	57	(	(	PUNCT
ijassa-1006	346	58	2.3e-02	2.3e-02	NUM
ijassa-1006	346	59	)	)	PUNCT
ijassa-1006	346	60	+	+	CCONJ
ijassa-1006	346	61	0.587	0.587	NUM
ijassa-1006	346	62	(	(	PUNCT
ijassa-1006	346	63	7.1e-02	7.1e-02	PROPN
ijassa-1006	346	64	)	)	PUNCT
ijassa-1006	346	65	0.810	0.810	NUM
ijassa-1006	346	66	(	(	PUNCT
ijassa-1006	346	67	1.2e-01	1.2e-01	NUM
ijassa-1006	346	68	)	)	PUNCT
ijassa-1006	346	69	0.669	0.669	NUM
ijassa-1006	346	70	(	(	PUNCT
ijassa-1006	346	71	2.6e-01	2.6e-01	NUM
ijassa-1006	346	72	)	)	PUNCT
ijassa-1006	346	73	0.454	0.454	NUM
ijassa-1006	346	74	(	(	PUNCT
ijassa-1006	346	75	8.2e-02	8.2e-02	NUM
ijassa-1006	346	76	)	)	PUNCT
ijassa-1006	346	77	0.429	0.429	NUM
ijassa-1006	346	78	(	(	PUNCT
ijassa-1006	346	79	5.4e-02	5.4e-02	NUM
ijassa-1006	346	80	)	)	PUNCT
ijassa-1006	346	81	0.507	0.507	NUM
ijassa-1006	346	82	(	(	PUNCT
ijassa-1006	346	83	7.5e-01	7.5e-01	NOUN
ijassa-1006	346	84	)	)	PUNCT
ijassa-1006	346	85	0.714	0.714	NUM
ijassa-1006	346	86	(	(	PUNCT
ijassa-1006	346	87	4.9e-01	4.9e-01	NUM
ijassa-1006	346	88	)	)	PUNCT
ijassa-1006	346	89	0.870	0.870	NUM
ijassa-1006	346	90	(	(	PUNCT
ijassa-1006	346	91	1.2e-01	1.2e-01	NUM
ijassa-1006	346	92	)	)	PUNCT
ijassa-1006	346	93	0.402	0.402	NUM
ijassa-1006	346	94	(	(	PUNCT
ijassa-1006	346	95	3.8e-01	3.8e-01	NUM
ijassa-1006	346	96	)	)	PUNCT
ijassa-1006	346	97	0.859	0.859	NUM
ijassa-1006	346	98	(	(	PUNCT
ijassa-1006	346	99	1.4e-01	1.4e-01	X
ijassa-1006	346	100	)	)	PUNCT
ijassa-1006	346	101	0.283	0.283	NUM
ijassa-1006	346	102	(	(	PUNCT
ijassa-1006	346	103	3.8e-03	3.8e-03	NUM
ijassa-1006	346	104	)	)	PUNCT
ijassa-1006	346	105	zdt4(2,100	zdt4(2,100	PROPN
ijassa-1006	346	106	)	)	PUNCT
ijassa-1006	346	107	nsga	nsga	PROPN
ijassa-1006	346	108	-	-	PUNCT
ijassa-1006	346	109	ii	ii	PROPN
ijassa-1006	346	110	mopso	mopso	PROPN
ijassa-1006	346	111	nsde	nsde	PROPN
ijassa-1006	346	112	moea	moea	NOUN
ijassa-1006	346	113	/	/	SYM
ijassa-1006	346	114	d	d	ADJ
ijassa-1006	346	115	-	-	PUNCT
ijassa-1006	346	116	de	de	X
ijassa-1006	346	117	mode	mode	NOUN
ijassa-1006	346	118	-	-	PUNCT
ijassa-1006	346	119	rmo	rmo	PROPN
ijassa-1006	346	120	mode	mode	PROPN
ijassa-1006	346	121	-	-	PUNCT
ijassa-1006	346	122	obl	obl	PROPN
ijassa-1006	346	123	0.053	0.053	NUM
ijassa-1006	346	124	(	(	PUNCT
ijassa-1006	346	125	4.2e-03	4.2e-03	NUM
ijassa-1006	346	126	)	)	PUNCT
ijassa-1006	346	127	0.076	0.076	NUM
ijassa-1006	346	128	(	(	PUNCT
ijassa-1006	346	129	4.6e-04	4.6e-04	PROPN
ijassa-1006	346	130	)	)	PUNCT
ijassa-1006	346	131	0.067	0.067	NUM
ijassa-1006	346	132	(	(	PUNCT
ijassa-1006	346	133	1.2e-03	1.2e-03	NUM
ijassa-1006	346	134	)	)	PUNCT
ijassa-1006	346	135	0.399	0.399	NUM
ijassa-1006	346	136	(	(	PUNCT
ijassa-1006	346	137	2.0e-02	2.0e-02	PROPN
ijassa-1006	346	138	)	)	PUNCT
ijassa-1006	346	139	0.067	0.067	NUM
ijassa-1006	346	140	(	(	PUNCT
ijassa-1006	346	141	7.3e-03	7.3e-03	NUM
ijassa-1006	346	142	)	)	PUNCT
ijassa-1006	346	143	0.048	0.048	NUM
ijassa-1006	346	144	(	(	PUNCT
ijassa-1006	346	145	7.0e-04	7.0e-04	NUM
ijassa-1006	346	146	)	)	PUNCT
ijassa-1006	346	147	0.011	0.011	NUM
ijassa-1006	346	148	(	(	PUNCT
ijassa-1006	346	149	1.3e-03	1.3e-03	NUM
ijassa-1006	346	150	)	)	PUNCT
ijassa-1006	346	151	0.347	0.347	NUM
ijassa-1006	346	152	(	(	PUNCT
ijassa-1006	346	153	2.0e-02	2.0e-02	PROPN
ijassa-1006	346	154	)	)	PUNCT
ijassa-1006	346	155	0.021	0.021	NUM
ijassa-1006	346	156	(	(	PUNCT
ijassa-1006	346	157	2.6e-03	2.6e-03	NUM
ijassa-1006	346	158	)	)	PUNCT
ijassa-1006	346	159	0.742	0.742	NUM
ijassa-1006	346	160	(	(	PUNCT
ijassa-1006	346	161	1.0e-05	1.0e-05	NUM
ijassa-1006	346	162	)	)	PUNCT
ijassa-1006	346	163	0.024	0.024	NUM
ijassa-1006	346	164	(	(	PUNCT
ijassa-1006	346	165	5.0e-03	5.0e-03	NUM
ijassa-1006	346	166	)	)	PUNCT
ijassa-1006	346	167	0.006	0.006	NUM
ijassa-1006	346	168	(	(	PUNCT
ijassa-1006	346	169	3.8e-05	3.8e-05	NUM
ijassa-1006	346	170	)	)	PUNCT
ijassa-1006	346	171	zdt6(2,100	zdt6(2,100	PROPN
ijassa-1006	346	172	)	)	PUNCT
ijassa-1006	346	173	nsga	nsga	PROPN
ijassa-1006	346	174	-	-	PUNCT
ijassa-1006	346	175	ii	ii	PROPN
ijassa-1006	346	176	mopso	mopso	PROPN
ijassa-1006	346	177	nsde	nsde	PROPN
ijassa-1006	346	178	moea	moea	NOUN
ijassa-1006	346	179	/	/	SYM
ijassa-1006	346	180	d	d	ADJ
ijassa-1006	346	181	-	-	PUNCT
ijassa-1006	346	182	de	de	X
ijassa-1006	346	183	mode	mode	NOUN
ijassa-1006	346	184	-	-	PUNCT
ijassa-1006	346	185	rmo	rmo	PROPN
ijassa-1006	346	186	mode	mode	PROPN
ijassa-1006	346	187	-	-	PUNCT
ijassa-1006	346	188	obl	obl	PROPN
ijassa-1006	346	189	0.034	0.034	NUM
ijassa-1006	346	190	(	(	PUNCT
ijassa-1006	346	191	1.1e-03	1.1e-03	NUM
ijassa-1006	346	192	)	)	PUNCT
ijassa-1006	347	1	≈	≈	PROPN
ijassa-1006	347	2	0.047	0.047	NUM
ijassa-1006	347	3	(	(	PUNCT
ijassa-1006	347	4	4.1e-04	4.1e-04	NUM
ijassa-1006	347	5	)	)	PUNCT
ijassa-1006	347	6	0.090	0.090	NUM
ijassa-1006	347	7	(	(	PUNCT
ijassa-1006	347	8	1.9e-02	1.9e-02	NUM
ijassa-1006	347	9	)	)	PUNCT
ijassa-1006	347	10	0.321	0.321	NUM
ijassa-1006	347	11	(	(	PUNCT
ijassa-1006	347	12	5.5e-02	5.5e-02	NUM
ijassa-1006	347	13	)	)	PUNCT
ijassa-1006	347	14	0.034	0.034	NUM
ijassa-1006	347	15	(	(	PUNCT
ijassa-1006	347	16	6.3e-04	6.3e-04	NUM
ijassa-1006	347	17	)	)	PUNCT
ijassa-1006	347	18	+	+	CCONJ
ijassa-1006	347	19	0.042	0.042	NUM
ijassa-1006	347	20	(	(	PUNCT
ijassa-1006	347	21	6.4e-04	6.4e-04	NUM
ijassa-1006	347	22	)	)	PUNCT
ijassa-1006	347	23	0.101	0.101	NUM
ijassa-1006	347	24	(	(	PUNCT
ijassa-1006	347	25	1.2e-02	1.2e-02	NUM
ijassa-1006	347	26	)	)	PUNCT
ijassa-1006	347	27	0.143	0.143	NUM
ijassa-1006	347	28	(	(	PUNCT
ijassa-1006	347	29	6.4e-03	6.4e-03	NUM
ijassa-1006	347	30	)	)	PUNCT
ijassa-1006	347	31	0.087	0.087	NUM
ijassa-1006	347	32	(	(	PUNCT
ijassa-1006	347	33	2.9e-03	2.9e-03	NOUN
ijassa-1006	347	34	)	)	PUNCT
ijassa-1006	347	35	1.156	1.156	NUM
ijassa-1006	347	36	(	(	PUNCT
ijassa-1006	347	37	3.3e-01	3.3e-01	NUM
ijassa-1006	347	38	)	)	PUNCT
ijassa-1006	347	39	0.068	0.068	NUM
ijassa-1006	347	40	(	(	PUNCT
ijassa-1006	347	41	1.5e-03	1.5e-03	NUM
ijassa-1006	347	42	)	)	PUNCT
ijassa-1006	347	43	+	+	CCONJ
ijassa-1006	347	44	0.108	0.108	NUM
ijassa-1006	347	45	(	(	PUNCT
ijassa-1006	347	46	9.8e-03	9.8e-03	NUM
ijassa-1006	347	47	)	)	PUNCT
ijassa-1006	347	48	the	the	DET
ijassa-1006	347	49	suite	suite	NOUN
ijassa-1006	347	50	of	of	ADP
ijassa-1006	347	51	dtlz	dtlz	ADJ
ijassa-1006	347	52	problems	problem	NOUN
ijassa-1006	347	53	created	create	VERB
ijassa-1006	347	54	by	by	ADP
ijassa-1006	347	55	[	[	X
ijassa-1006	347	56	2	2	NUM
ijassa-1006	347	57	]	]	PUNCT
ijassa-1006	347	58	can	can	AUX
ijassa-1006	347	59	be	be	AUX
ijassa-1006	347	60	extended	extend	VERB
ijassa-1006	347	61	to	to	ADP
ijassa-1006	347	62	any	any	DET
ijassa-1006	347	63	number	number	NOUN
ijassa-1006	347	64	of	of	ADP
ijassa-1006	347	65	objectives	objective	NOUN
ijassa-1006	347	66	and	and	CCONJ
ijassa-1006	347	67	decision	decision	NOUN
ijassa-1006	347	68	variables	variable	NOUN
ijassa-1006	347	69	.	.	PUNCT
ijassa-1006	348	1	therefore	therefore	ADV
ijassa-1006	348	2	,	,	PUNCT
ijassa-1006	348	3	for	for	ADP
ijassa-1006	348	4	this	this	DET
ijassa-1006	348	5	study	study	NOUN
ijassa-1006	348	6	,	,	PUNCT
ijassa-1006	348	7	the	the	DET
ijassa-1006	348	8	dtlz	dtlz	ADJ
ijassa-1006	348	9	problems	problem	NOUN
ijassa-1006	348	10	consisted	consist	VERB
ijassa-1006	348	11	of	of	ADP
ijassa-1006	348	12	three	three	NUM
ijassa-1006	348	13	and	and	CCONJ
ijassa-1006	348	14	five	five	NUM
ijassa-1006	348	15	objective	objective	ADJ
ijassa-1006	348	16	functions	function	NOUN
ijassa-1006	348	17	.	.	PUNCT
ijassa-1006	349	1	the	the	DET
ijassa-1006	349	2	number	number	NOUN
ijassa-1006	349	3	of	of	ADP
ijassa-1006	349	4	decision	decision	NOUN
ijassa-1006	349	5	variables	variable	NOUN
ijassa-1006	349	6	in	in	ADP
ijassa-1006	349	7	dtlz1	dtlz1	NOUN
ijassa-1006	349	8	and	and	CCONJ
ijassa-1006	349	9	dtlz3	dtlz3	NOUN
ijassa-1006	349	10	was	be	AUX
ijassa-1006	349	11	fixed	fix	VERB
ijassa-1006	349	12	at	at	ADP
ijassa-1006	349	13	12	12	NUM
ijassa-1006	349	14	because	because	SCONJ
ijassa-1006	349	15	they	they	PRON
ijassa-1006	349	16	are	be	AUX
ijassa-1006	349	17	highly	highly	ADV
ijassa-1006	349	18	multimodal	multimodal	ADJ
ijassa-1006	349	19	problems	problem	NOUN
ijassa-1006	349	20	and	and	CCONJ
ijassa-1006	349	21	therefore	therefore	ADV
ijassa-1006	349	22	more	more	ADV
ijassa-1006	349	23	difficult	difficult	ADJ
ijassa-1006	349	24	.	.	PUNCT
ijassa-1006	350	1	for	for	ADP
ijassa-1006	350	2	the	the	DET
ijassa-1006	350	3	other	other	ADJ
ijassa-1006	350	4	dtlz	dtlz	ADJ
ijassa-1006	350	5	problems	problem	NOUN
ijassa-1006	350	6	,	,	PUNCT
ijassa-1006	350	7	they	they	PRON
ijassa-1006	350	8	are	be	AUX
ijassa-1006	350	9	generally	generally	ADV
ijassa-1006	350	10	easier	easy	ADJ
ijassa-1006	350	11	to	to	PART
ijassa-1006	350	12	solve	solve	VERB
ijassa-1006	350	13	,	,	PUNCT
ijassa-1006	350	14	so	so	CCONJ
ijassa-1006	350	15	the	the	DET
ijassa-1006	350	16	number	number	NOUN
ijassa-1006	350	17	of	of	ADP
ijassa-1006	350	18	decision	decision	NOUN
ijassa-1006	350	19	variables	variable	NOUN
ijassa-1006	350	20	has	have	AUX
ijassa-1006	350	21	been	be	AUX
ijassa-1006	350	22	set	set	VERB
ijassa-1006	350	23	at	at	ADP
ijassa-1006	350	24	120	120	NUM
ijassa-1006	350	25	instead	instead	ADV
ijassa-1006	350	26	.	.	PUNCT
ijassa-1006	351	1	for	for	ADP
ijassa-1006	351	2	the	the	DET
ijassa-1006	351	3	case	case	NOUN
ijassa-1006	351	4	of	of	ADP
ijassa-1006	351	5	dtlz	dtlz	ADJ
ijassa-1006	351	6	problems	problem	NOUN
ijassa-1006	351	7	with	with	ADP
ijassa-1006	351	8	three	three	NUM
ijassa-1006	351	9	objective	objective	ADJ
ijassa-1006	351	10	functions	function	NOUN
ijassa-1006	351	11	,	,	PUNCT
ijassa-1006	351	12	mode	mode	NOUN
ijassa-1006	351	13	-	-	PUNCT
ijassa-1006	351	14	obl	obl	PROPN
ijassa-1006	351	15	achieves	achieve	VERB
ijassa-1006	351	16	competitive	competitive	ADJ
ijassa-1006	351	17	performances	performance	NOUN
ijassa-1006	351	18	compared	compare	VERB
ijassa-1006	351	19	to	to	ADP
ijassa-1006	351	20	the	the	DET
ijassa-1006	351	21	other	other	ADJ
ijassa-1006	351	22	algorithms	algorithm	NOUN
ijassa-1006	351	23	of	of	ADP
ijassa-1006	351	24	this	this	DET
ijassa-1006	351	25	study	study	NOUN
ijassa-1006	351	26	.	.	PUNCT
ijassa-1006	352	1	based	base	VERB
ijassa-1006	352	2	on	on	ADP
ijassa-1006	352	3	the	the	DET
ijassa-1006	352	4	simulation	simulation	NOUN
ijassa-1006	352	5	results	result	NOUN
ijassa-1006	352	6	,	,	PUNCT
ijassa-1006	352	7	mode	mode	PROPN
ijassa-1006	352	8	-	-	PUNCT
ijassa-1006	352	9	obl	obl	PROPN
ijassa-1006	352	10	achieves	achieve	VERB
ijassa-1006	352	11	the	the	DET
ijassa-1006	352	12	lowest	low	ADJ
ijassa-1006	352	13	igd	igd	NOUN
ijassa-1006	352	14	and	and	CCONJ
ijassa-1006	352	15	gd	gd	NOUN
ijassa-1006	352	16	values	value	NOUN
ijassa-1006	352	17	or	or	CCONJ
ijassa-1006	352	18	approaches	approach	VERB
ijassa-1006	352	19	the	the	DET
ijassa-1006	352	20	best	good	ADJ
ijassa-1006	352	21	values	value	NOUN
ijassa-1006	352	22	for	for	ADP
ijassa-1006	352	23	most	most	ADJ
ijassa-1006	352	24	dtlz	dtlz	ADJ
ijassa-1006	352	25	problems	problem	NOUN
ijassa-1006	352	26	.	.	PUNCT
ijassa-1006	353	1	however	however	ADV
ijassa-1006	353	2	,	,	PUNCT
ijassa-1006	353	3	for	for	ADP
ijassa-1006	353	4	the	the	DET
ijassa-1006	353	5	case	case	NOUN
ijassa-1006	353	6	of	of	ADP
ijassa-1006	353	7	dtlz5	dtlz5	NOUN
ijassa-1006	353	8	and	and	CCONJ
ijassa-1006	353	9	dtlz6	dtlz6	NOUN
ijassa-1006	353	10	,	,	PUNCT
ijassa-1006	353	11	mode	mode	NOUN
ijassa-1006	353	12	-	-	PUNCT
ijassa-1006	353	13	obl	obl	PROPN
ijassa-1006	353	14	did	do	AUX
ijassa-1006	353	15	not	not	PART
ijassa-1006	353	16	perform	perform	VERB
ijassa-1006	353	17	as	as	ADV
ijassa-1006	353	18	well	well	ADV
ijassa-1006	353	19	compared	compare	VERB
ijassa-1006	353	20	to	to	ADP
ijassa-1006	353	21	other	other	ADJ
ijassa-1006	353	22	algorithms	algorithm	NOUN
ijassa-1006	353	23	.	.	PUNCT
ijassa-1006	354	1	for	for	ADP
ijassa-1006	354	2	dtlz5	dtlz5	PROPN
ijassa-1006	354	3	,	,	PUNCT
ijassa-1006	354	4	we	we	PRON
ijassa-1006	354	5	observe	observe	VERB
ijassa-1006	354	6	that	that	SCONJ
ijassa-1006	354	7	the	the	DET
ijassa-1006	354	8	nsga	nsga	NOUN
ijassa-1006	354	9	-	-	PUNCT
ijassa-1006	354	10	ii	ii	NOUN
ijassa-1006	354	11	algorithm	algorithm	NOUN
ijassa-1006	354	12	which	which	PRON
ijassa-1006	354	13	incorporates	incorporate	VERB
ijassa-1006	354	14	the	the	DET
ijassa-1006	354	15	use	use	NOUN
ijassa-1006	354	16	of	of	ADP
ijassa-1006	354	17	the	the	DET
ijassa-1006	354	18	sbx	sbx	NOUN
ijassa-1006	354	19	operator	operator	NOUN
ijassa-1006	354	20	as	as	ADV
ijassa-1006	354	21	well	well	ADV
ijassa-1006	354	22	as	as	ADP
ijassa-1006	354	23	mopso	mopso	NOUN
ijassa-1006	354	24	gives	give	VERB
ijassa-1006	354	25	better	well	ADJ
ijassa-1006	354	26	results	result	NOUN
ijassa-1006	354	27	compared	compare	VERB
ijassa-1006	354	28	to	to	ADP
ijassa-1006	354	29	algorithms	algorithm	NOUN
ijassa-1006	354	30	with	with	ADP
ijassa-1006	354	31	the	the	DET
ijassa-1006	354	32	de	de	X
ijassa-1006	354	33	operator	operator	NOUN
ijassa-1006	354	34	.	.	PUNCT
ijassa-1006	355	1	this	this	PRON
ijassa-1006	355	2	suggests	suggest	VERB
ijassa-1006	355	3	that	that	SCONJ
ijassa-1006	355	4	using	use	VERB
ijassa-1006	355	5	the	the	DET
ijassa-1006	355	6	de	de	NOUN
ijassa-1006	355	7	operator	operator	NOUN
ijassa-1006	355	8	may	may	AUX
ijassa-1006	355	9	not	not	PART
ijassa-1006	355	10	be	be	AUX
ijassa-1006	355	11	as	as	ADV
ijassa-1006	355	12	powerful	powerful	ADJ
ijassa-1006	355	13	in	in	ADP
ijassa-1006	355	14	solving	solve	VERB
ijassa-1006	355	15	degenerate	degenerate	ADJ
ijassa-1006	355	16	pareto	pareto	ADJ
ijassa-1006	355	17	front	front	ADJ
ijassa-1006	355	18	problems	problem	NOUN
ijassa-1006	355	19	.	.	PUNCT
ijassa-1006	356	1	a	a	DET
ijassa-1006	356	2	novel	novel	ADJ
ijassa-1006	356	3	two	two	NUM
ijassa-1006	356	4	-	-	PUNCT
ijassa-1006	356	5	stage	stage	NOUN
ijassa-1006	356	6	hybrid	hybrid	ADJ
ijassa-1006	356	7	multi	multi	ADJ
ijassa-1006	356	8	-	-	ADJ
ijassa-1006	356	9	objective	objective	ADJ
ijassa-1006	356	10	differential	differential	ADJ
ijassa-1006	356	11	evolution	evolution	NOUN
ijassa-1006	356	12	…	…	PUNCT
ijassa-1006	356	13	169	169	NUM
ijassa-1006	356	14	copyright	copyright	NOUN
ijassa-1006	356	15	©	©	PROPN
ijassa-1006	356	16	2023	2023	NUM
ijassa-1006	356	17	assa	assa	NOUN
ijassa-1006	356	18	.	.	PUNCT
ijassa-1006	357	1	adv	adv	PROPN
ijassa-1006	357	2	.	.	PUNCT
ijassa-1006	358	1	in	in	ADP
ijassa-1006	358	2	systems	system	NOUN
ijassa-1006	358	3	science	science	NOUN
ijassa-1006	358	4	and	and	CCONJ
ijassa-1006	358	5	appl	appl	NOUN
ijassa-1006	358	6	.	.	PUNCT
ijassa-1006	359	1	(	(	PUNCT
ijassa-1006	359	2	2023	2023	NUM
ijassa-1006	359	3	)	)	PUNCT
ijassa-1006	359	4	in	in	ADP
ijassa-1006	359	5	dtlz	dtlz	ADJ
ijassa-1006	359	6	problems	problem	NOUN
ijassa-1006	359	7	with	with	ADP
ijassa-1006	359	8	five	five	NUM
ijassa-1006	359	9	objective	objective	ADJ
ijassa-1006	359	10	functions	function	NOUN
ijassa-1006	359	11	,	,	PUNCT
ijassa-1006	359	12	the	the	DET
ijassa-1006	359	13	results	result	NOUN
ijassa-1006	359	14	demonstrate	demonstrate	VERB
ijassa-1006	359	15	that	that	SCONJ
ijassa-1006	359	16	modeobl	modeobl	NOUN
ijassa-1006	359	17	achieves	achieve	VERB
ijassa-1006	359	18	the	the	DET
ijassa-1006	359	19	best	good	ADJ
ijassa-1006	359	20	overall	overall	ADJ
ijassa-1006	359	21	performance	performance	NOUN
ijassa-1006	359	22	for	for	ADP
ijassa-1006	359	23	dtlz1	dtlz1	NOUN
ijassa-1006	359	24	,	,	PUNCT
ijassa-1006	359	25	dtlz3	dtlz3	NOUN
ijassa-1006	359	26	and	and	CCONJ
ijassa-1006	359	27	dtlz7	dtlz7	ADJ
ijassa-1006	359	28	when	when	SCONJ
ijassa-1006	359	29	opposed	oppose	VERB
ijassa-1006	359	30	to	to	ADP
ijassa-1006	359	31	all	all	DET
ijassa-1006	359	32	the	the	DET
ijassa-1006	359	33	algorithms	algorithm	NOUN
ijassa-1006	359	34	compared	compare	VERB
ijassa-1006	359	35	.	.	PUNCT
ijassa-1006	360	1	for	for	ADP
ijassa-1006	360	2	dtlz2	dtlz2	PROPN
ijassa-1006	360	3	,	,	PUNCT
ijassa-1006	360	4	mode	mode	PROPN
ijassa-1006	360	5	-	-	PUNCT
ijassa-1006	360	6	obl	obl	PROPN
ijassa-1006	360	7	reaches	reach	VERB
ijassa-1006	360	8	the	the	DET
ijassa-1006	360	9	lowest	low	ADJ
ijassa-1006	360	10	igd	igd	NOUN
ijassa-1006	360	11	value	value	NOUN
ijassa-1006	360	12	but	but	CCONJ
ijassa-1006	360	13	not	not	PART
ijassa-1006	360	14	for	for	ADP
ijassa-1006	360	15	the	the	DET
ijassa-1006	360	16	gd	gd	PROPN
ijassa-1006	360	17	metric	metric	NOUN
ijassa-1006	360	18	.	.	PUNCT
ijassa-1006	361	1	for	for	ADP
ijassa-1006	361	2	dtlz4	dtlz4	PROPN
ijassa-1006	361	3	,	,	PUNCT
ijassa-1006	361	4	dtlz5	dtlz5	NOUN
ijassa-1006	361	5	and	and	CCONJ
ijassa-1006	361	6	dtlz6	dtlz6	NOUN
ijassa-1006	361	7	,	,	PUNCT
ijassa-1006	361	8	we	we	PRON
ijassa-1006	361	9	observe	observe	VERB
ijassa-1006	361	10	that	that	SCONJ
ijassa-1006	361	11	the	the	DET
ijassa-1006	361	12	decompositionbased	decompositionbase	VERB
ijassa-1006	361	13	algorithm	algorithm	NOUN
ijassa-1006	361	14	generally	generally	ADV
ijassa-1006	361	15	performs	perform	VERB
ijassa-1006	361	16	better	well	ADV
ijassa-1006	361	17	in	in	ADP
ijassa-1006	361	18	terms	term	NOUN
ijassa-1006	361	19	of	of	ADP
ijassa-1006	361	20	better	well	ADJ
ijassa-1006	361	21	igd	igd	NOUN
ijassa-1006	361	22	and	and	CCONJ
ijassa-1006	361	23	gd	gd	ADJ
ijassa-1006	361	24	values	value	NOUN
ijassa-1006	361	25	than	than	ADP
ijassa-1006	361	26	the	the	DET
ijassa-1006	361	27	others	other	NOUN
ijassa-1006	361	28	for	for	ADP
ijassa-1006	361	29	these	these	DET
ijassa-1006	361	30	three	three	NUM
ijassa-1006	361	31	problems	problem	NOUN
ijassa-1006	361	32	.	.	PUNCT
ijassa-1006	362	1	this	this	PRON
ijassa-1006	362	2	demonstrates	demonstrate	VERB
ijassa-1006	362	3	the	the	DET
ijassa-1006	362	4	better	well	ADJ
ijassa-1006	362	5	ability	ability	NOUN
ijassa-1006	362	6	of	of	ADP
ijassa-1006	362	7	decomposition	decomposition	NOUN
ijassa-1006	362	8	-	-	PUNCT
ijassa-1006	362	9	based	base	VERB
ijassa-1006	362	10	algorithms	algorithm	NOUN
ijassa-1006	362	11	to	to	PART
ijassa-1006	362	12	solve	solve	VERB
ijassa-1006	362	13	multi	multi	ADJ
ijassa-1006	362	14	-	-	ADJ
ijassa-1006	362	15	objective	objective	ADJ
ijassa-1006	362	16	problems	problem	NOUN
ijassa-1006	362	17	compared	compare	VERB
ijassa-1006	362	18	to	to	ADP
ijassa-1006	362	19	domination	domination	NOUN
ijassa-1006	362	20	-	-	PUNCT
ijassa-1006	362	21	based	base	VERB
ijassa-1006	362	22	algorithms	algorithm	NOUN
ijassa-1006	362	23	.	.	PUNCT
ijassa-1006	363	1	this	this	PRON
ijassa-1006	363	2	is	be	AUX
ijassa-1006	363	3	attributed	attribute	VERB
ijassa-1006	363	4	to	to	ADP
ijassa-1006	363	5	the	the	DET
ijassa-1006	363	6	fact	fact	NOUN
ijassa-1006	363	7	that	that	SCONJ
ijassa-1006	363	8	algorithms	algorithm	NOUN
ijassa-1006	363	9	based	base	VERB
ijassa-1006	363	10	on	on	ADP
ijassa-1006	363	11	decomposition	decomposition	NOUN
ijassa-1006	363	12	allow	allow	VERB
ijassa-1006	363	13	a	a	DET
ijassa-1006	363	14	better	well	ADJ
ijassa-1006	363	15	selection	selection	NOUN
ijassa-1006	363	16	of	of	ADP
ijassa-1006	363	17	promising	promising	ADJ
ijassa-1006	363	18	solutions	solution	NOUN
ijassa-1006	363	19	by	by	ADP
ijassa-1006	363	20	using	use	VERB
ijassa-1006	363	21	aggregated	aggregate	VERB
ijassa-1006	363	22	fitness	fitness	NOUN
ijassa-1006	363	23	values	value	NOUN
ijassa-1006	363	24	.	.	PUNCT
ijassa-1006	364	1	for	for	ADP
ijassa-1006	364	2	the	the	DET
ijassa-1006	364	3	other	other	ADJ
ijassa-1006	364	4	dominance	dominance	NOUN
ijassa-1006	364	5	-	-	PUNCT
ijassa-1006	364	6	based	base	VERB
ijassa-1006	364	7	algorithms	algorithm	NOUN
ijassa-1006	364	8	in	in	ADP
ijassa-1006	364	9	this	this	DET
ijassa-1006	364	10	study	study	NOUN
ijassa-1006	364	11	,	,	PUNCT
ijassa-1006	364	12	dominance	dominance	NOUN
ijassa-1006	364	13	behavior	behavior	NOUN
ijassa-1006	364	14	between	between	ADP
ijassa-1006	364	15	solutions	solution	NOUN
ijassa-1006	364	16	must	must	AUX
ijassa-1006	364	17	be	be	AUX
ijassa-1006	364	18	determined	determine	VERB
ijassa-1006	364	19	before	before	ADP
ijassa-1006	364	20	deciding	decide	VERB
ijassa-1006	364	21	which	which	DET
ijassa-1006	364	22	solutions	solution	NOUN
ijassa-1006	364	23	are	be	AUX
ijassa-1006	364	24	superior	superior	ADJ
ijassa-1006	364	25	.	.	PUNCT
ijassa-1006	365	1	however	however	ADV
ijassa-1006	365	2	,	,	PUNCT
ijassa-1006	365	3	as	as	ADP
ijassa-1006	365	4	the	the	DET
ijassa-1006	365	5	number	number	NOUN
ijassa-1006	365	6	of	of	ADP
ijassa-1006	365	7	objective	objective	ADJ
ijassa-1006	365	8	functions	function	NOUN
ijassa-1006	365	9	increases	increase	NOUN
ijassa-1006	365	10	,	,	PUNCT
ijassa-1006	365	11	dominance	dominance	NOUN
ijassa-1006	365	12	behavior	behavior	NOUN
ijassa-1006	365	13	will	will	AUX
ijassa-1006	365	14	be	be	AUX
ijassa-1006	365	15	weakened	weaken	VERB
ijassa-1006	365	16	.	.	PUNCT
ijassa-1006	366	1	therefore	therefore	ADV
ijassa-1006	366	2	,	,	PUNCT
ijassa-1006	366	3	it	it	PRON
ijassa-1006	366	4	will	will	AUX
ijassa-1006	366	5	be	be	AUX
ijassa-1006	366	6	more	more	ADV
ijassa-1006	366	7	difficult	difficult	ADJ
ijassa-1006	366	8	for	for	SCONJ
ijassa-1006	366	9	domination	domination	NOUN
ijassa-1006	366	10	-	-	PUNCT
ijassa-1006	366	11	based	base	VERB
ijassa-1006	366	12	algorithms	algorithm	NOUN
ijassa-1006	366	13	to	to	PART
ijassa-1006	366	14	select	select	VERB
ijassa-1006	366	15	the	the	DET
ijassa-1006	366	16	best	good	ADJ
ijassa-1006	366	17	solutions	solution	NOUN
ijassa-1006	366	18	in	in	ADP
ijassa-1006	366	19	a	a	DET
ijassa-1006	366	20	higher	high	ADJ
ijassa-1006	366	21	objective	objective	ADJ
ijassa-1006	366	22	space	space	NOUN
ijassa-1006	366	23	.	.	PUNCT
ijassa-1006	367	1	we	we	PRON
ijassa-1006	367	2	observe	observe	VERB
ijassa-1006	367	3	that	that	PRON
ijassa-1006	367	4	mode	mode	NOUN
ijassa-1006	367	5	-	-	PUNCT
ijassa-1006	367	6	obl	obl	PROPN
ijassa-1006	367	7	generally	generally	ADV
ijassa-1006	367	8	shows	show	VERB
ijassa-1006	367	9	better	well	ADJ
ijassa-1006	367	10	performance	performance	NOUN
ijassa-1006	367	11	for	for	ADP
ijassa-1006	367	12	dtlz1	dtlz1	NOUN
ijassa-1006	367	13	,	,	PUNCT
ijassa-1006	367	14	dtlz3	dtlz3	NOUN
ijassa-1006	367	15	and	and	CCONJ
ijassa-1006	367	16	dtlz7	dtlz7	ADJ
ijassa-1006	367	17	,	,	PUNCT
ijassa-1006	367	18	and	and	CCONJ
ijassa-1006	367	19	competitive	competitive	ADJ
ijassa-1006	367	20	performance	performance	NOUN
ijassa-1006	367	21	for	for	ADP
ijassa-1006	367	22	dtlz2	dtlz2	NOUN
ijassa-1006	367	23	,	,	PUNCT
ijassa-1006	367	24	with	with	ADP
ijassa-1006	367	25	three	three	NUM
ijassa-1006	367	26	and	and	CCONJ
ijassa-1006	367	27	five	five	NUM
ijassa-1006	367	28	objective	objective	ADJ
ijassa-1006	367	29	functions	function	NOUN
ijassa-1006	367	30	.	.	PUNCT
ijassa-1006	368	1	dtlz1	dtlz1	NOUN
ijassa-1006	368	2	and	and	CCONJ
ijassa-1006	368	3	dtlz3	dtlz3	NOUN
ijassa-1006	368	4	are	be	AUX
ijassa-1006	368	5	highly	highly	ADV
ijassa-1006	368	6	multimodal	multimodal	ADJ
ijassa-1006	368	7	problems	problem	NOUN
ijassa-1006	368	8	,	,	PUNCT
ijassa-1006	368	9	and	and	CCONJ
ijassa-1006	368	10	the	the	DET
ijassa-1006	368	11	success	success	NOUN
ijassa-1006	368	12	of	of	ADP
ijassa-1006	368	13	modeobl	modeobl	NOUN
ijassa-1006	368	14	in	in	ADP
ijassa-1006	368	15	dealing	deal	VERB
ijassa-1006	368	16	with	with	ADP
ijassa-1006	368	17	these	these	DET
ijassa-1006	368	18	problems	problem	NOUN
ijassa-1006	368	19	is	be	AUX
ijassa-1006	368	20	probably	probably	ADV
ijassa-1006	368	21	attributed	attribute	VERB
ijassa-1006	368	22	to	to	ADP
ijassa-1006	368	23	the	the	DET
ijassa-1006	368	24	strong	strong	ADJ
ijassa-1006	368	25	exploration	exploration	NOUN
ijassa-1006	368	26	capabilities	capability	NOUN
ijassa-1006	368	27	inherent	inherent	ADJ
ijassa-1006	368	28	in	in	ADP
ijassa-1006	368	29	its	its	PRON
ijassa-1006	368	30	de	de	X
ijassa-1006	368	31	operator	operator	NOUN
ijassa-1006	368	32	which	which	PRON
ijassa-1006	368	33	allows	allow	VERB
ijassa-1006	368	34	the	the	DET
ijassa-1006	368	35	algorithm	algorithm	NOUN
ijassa-1006	368	36	to	to	PART
ijassa-1006	368	37	escape	escape	VERB
ijassa-1006	368	38	the	the	DET
ijassa-1006	368	39	optimal	optimal	ADJ
ijassa-1006	368	40	local	local	NOUN
ijassa-1006	368	41	.	.	PUNCT
ijassa-1006	369	1	as	as	ADP
ijassa-1006	369	2	with	with	ADP
ijassa-1006	369	3	dtlz2	dtlz2	PROPN
ijassa-1006	369	4	,	,	PUNCT
ijassa-1006	369	5	the	the	DET
ijassa-1006	369	6	opposition	opposition	NOUN
ijassa-1006	369	7	-	-	PUNCT
ijassa-1006	369	8	based	base	VERB
ijassa-1006	369	9	generation	generation	NOUN
ijassa-1006	369	10	jump	jump	NOUN
ijassa-1006	369	11	phase	phase	NOUN
ijassa-1006	369	12	in	in	ADP
ijassa-1006	369	13	mode	mode	NOUN
ijassa-1006	369	14	-	-	PUNCT
ijassa-1006	369	15	obl	obl	PROPN
ijassa-1006	369	16	helps	helps	AUX
ijassa-1006	369	17	produce	produce	VERB
ijassa-1006	369	18	adequate	adequate	ADJ
ijassa-1006	369	19	selection	selection	NOUN
ijassa-1006	369	20	pressure	pressure	NOUN
ijassa-1006	369	21	towards	towards	ADP
ijassa-1006	369	22	the	the	DET
ijassa-1006	369	23	large	large	ADJ
ijassa-1006	369	24	spherical	spherical	ADJ
ijassa-1006	369	25	pareto	pareto	ADJ
ijassa-1006	369	26	front	front	NOUN
ijassa-1006	369	27	in	in	ADP
ijassa-1006	369	28	the	the	DET
ijassa-1006	369	29	large	large	ADJ
ijassa-1006	369	30	objective	objective	ADJ
ijassa-1006	369	31	domain	domain	NOUN
ijassa-1006	369	32	.	.	PUNCT
ijassa-1006	370	1	the	the	DET
ijassa-1006	370	2	good	good	ADJ
ijassa-1006	370	3	performance	performance	NOUN
ijassa-1006	370	4	shown	show	VERB
ijassa-1006	370	5	by	by	ADP
ijassa-1006	370	6	mode	mode	NOUN
ijassa-1006	370	7	-	-	PUNCT
ijassa-1006	370	8	obl	obl	PROPN
ijassa-1006	370	9	for	for	ADP
ijassa-1006	370	10	dtlz7	dtlz7	ADJ
ijassa-1006	370	11	could	could	AUX
ijassa-1006	370	12	also	also	ADV
ijassa-1006	370	13	be	be	AUX
ijassa-1006	370	14	attributed	attribute	VERB
ijassa-1006	370	15	to	to	ADP
ijassa-1006	370	16	the	the	DET
ijassa-1006	370	17	strong	strong	ADJ
ijassa-1006	370	18	exploratory	exploratory	ADJ
ijassa-1006	370	19	nature	nature	NOUN
ijassa-1006	370	20	of	of	ADP
ijassa-1006	370	21	its	its	PRON
ijassa-1006	370	22	de	de	NOUN
ijassa-1006	370	23	operator	operator	NOUN
ijassa-1006	370	24	complemented	complement	VERB
ijassa-1006	370	25	by	by	ADP
ijassa-1006	370	26	the	the	DET
ijassa-1006	370	27	rankingbased	rankingbase	VERB
ijassa-1006	370	28	mutation	mutation	NOUN
ijassa-1006	370	29	operator	operator	NOUN
ijassa-1006	370	30	(	(	PUNCT
ijassa-1006	370	31	rmo	rmo	PROPN
ijassa-1006	370	32	)	)	PUNCT
ijassa-1006	370	33	as	as	SCONJ
ijassa-1006	370	34	this	this	PRON
ijassa-1006	370	35	helps	help	VERB
ijassa-1006	370	36	the	the	DET
ijassa-1006	370	37	algorithm	algorithm	NOUN
ijassa-1006	370	38	to	to	PART
ijassa-1006	370	39	discover	discover	VERB
ijassa-1006	370	40	distributed	distribute	VERB
ijassa-1006	370	41	subpopulations	subpopulation	NOUN
ijassa-1006	370	42	.	.	PUNCT
ijassa-1006	371	1	in	in	ADP
ijassa-1006	371	2	all	all	DET
ijassa-1006	371	3	disconnected	disconnected	ADJ
ijassa-1006	371	4	pareto	pareto	VERB
ijassa-1006	371	5	-	-	PUNCT
ijassa-1006	371	6	optimal	optimal	ADJ
ijassa-1006	371	7	regions	region	NOUN
ijassa-1006	371	8	.	.	PUNCT
ijassa-1006	372	1	moreover	moreover	ADV
ijassa-1006	372	2	,	,	PUNCT
ijassa-1006	372	3	the	the	DET
ijassa-1006	372	4	environmental	environmental	ADJ
ijassa-1006	372	5	selection	selection	NOUN
ijassa-1006	372	6	method	method	NOUN
ijassa-1006	372	7	used	use	VERB
ijassa-1006	372	8	is	be	AUX
ijassa-1006	372	9	also	also	ADV
ijassa-1006	372	10	effective	effective	ADJ
ijassa-1006	372	11	in	in	ADP
ijassa-1006	372	12	keeping	keep	VERB
ijassa-1006	372	13	the	the	DET
ijassa-1006	372	14	solutions	solution	NOUN
ijassa-1006	372	15	found	find	VERB
ijassa-1006	372	16	in	in	ADP
ijassa-1006	372	17	pareto	pareto	ADJ
ijassa-1006	372	18	-	-	PUNCT
ijassa-1006	372	19	optimal	optimal	ADJ
ijassa-1006	372	20	regions	region	NOUN
ijassa-1006	372	21	disconnected	disconnect	VERB
ijassa-1006	372	22	.	.	PUNCT
ijassa-1006	373	1	these	these	DET
ijassa-1006	373	2	factors	factor	NOUN
ijassa-1006	373	3	may	may	AUX
ijassa-1006	373	4	explain	explain	VERB
ijassa-1006	373	5	why	why	SCONJ
ijassa-1006	373	6	mode	mode	NOUN
ijassa-1006	373	7	-	-	PUNCT
ijassa-1006	373	8	obl	obl	PROPN
ijassa-1006	373	9	is	be	AUX
ijassa-1006	373	10	able	able	ADJ
ijassa-1006	373	11	to	to	PART
ijassa-1006	373	12	handle	handle	VERB
ijassa-1006	373	13	the	the	DET
ijassa-1006	373	14	dtlz7	dtlz7	ADJ
ijassa-1006	373	15	problem	problem	NOUN
ijassa-1006	373	16	well	well	ADV
ijassa-1006	373	17	.	.	PUNCT
ijassa-1006	374	1	table	table	NOUN
ijassa-1006	374	2	5.4	5.4	NUM
ijassa-1006	374	3	.	.	PUNCT
ijassa-1006	375	1	results	result	NOUN
ijassa-1006	375	2	obtained	obtain	VERB
ijassa-1006	375	3	by	by	ADP
ijassa-1006	375	4	algorithms	algorithm	NOUN
ijassa-1006	375	5	for	for	ADP
ijassa-1006	375	6	dtlz	dtlz	ADJ
ijassa-1006	375	7	problems	problem	NOUN
ijassa-1006	375	8	(	(	PUNCT
ijassa-1006	375	9	3	3	NUM
ijassa-1006	375	10	objectives	objective	NOUN
ijassa-1006	375	11	)	)	PUNCT
ijassa-1006	375	12	test	test	NOUN
ijassa-1006	375	13	problem	problem	NOUN
ijassa-1006	375	14	algorithm	algorithm	PROPN
ijassa-1006	375	15	igd	igd	PROPN
ijassa-1006	375	16	gd	gd	PROPN
ijassa-1006	375	17	dtlz1(3,12	dtlz1(3,12	NOUN
ijassa-1006	375	18	)	)	PUNCT
ijassa-1006	375	19	nsga	nsga	PROPN
ijassa-1006	375	20	-	-	PUNCT
ijassa-1006	375	21	ii	ii	PROPN
ijassa-1006	375	22	mopso	mopso	PROPN
ijassa-1006	375	23	nsde	nsde	PROPN
ijassa-1006	375	24	moea	moea	NOUN
ijassa-1006	375	25	/	/	SYM
ijassa-1006	375	26	d	d	ADJ
ijassa-1006	375	27	-	-	PUNCT
ijassa-1006	375	28	de	de	X
ijassa-1006	375	29	mode	mode	NOUN
ijassa-1006	375	30	-	-	PUNCT
ijassa-1006	375	31	rmo	rmo	PROPN
ijassa-1006	375	32	mode	mode	PROPN
ijassa-1006	375	33	-	-	PUNCT
ijassa-1006	375	34	obl	obl	PROPN
ijassa-1006	375	35	0.200	0.200	NUM
ijassa-1006	375	36	(	(	PUNCT
ijassa-1006	375	37	2.3e-02	2.3e-02	NUM
ijassa-1006	375	38	)	)	PUNCT
ijassa-1006	375	39	0.198	0.198	NUM
ijassa-1006	375	40	(	(	PUNCT
ijassa-1006	375	41	3.0e-02	3.0e-02	PROPN
ijassa-1006	375	42	)	)	PUNCT
ijassa-1006	375	43	0.254	0.254	NUM
ijassa-1006	375	44	(	(	PUNCT
ijassa-1006	375	45	7.1e-02	7.1e-02	NUM
ijassa-1006	375	46	)	)	PUNCT
ijassa-1006	375	47	0.764	0.764	NUM
ijassa-1006	375	48	(	(	PUNCT
ijassa-1006	375	49	9.1e-02	9.1e-02	NUM
ijassa-1006	375	50	)	)	PUNCT
ijassa-1006	375	51	0.439	0.439	NUM
ijassa-1006	375	52	(	(	PUNCT
ijassa-1006	375	53	2.8e-02	2.8e-02	NUM
ijassa-1006	375	54	)	)	PUNCT
ijassa-1006	375	55	0.151	0.151	NUM
ijassa-1006	375	56	(	(	PUNCT
ijassa-1006	375	57	4.9e-03	4.9e-03	NUM
ijassa-1006	375	58	)	)	PUNCT
ijassa-1006	375	59	2.802	2.802	NUM
ijassa-1006	375	60	(	(	PUNCT
ijassa-1006	375	61	9.8e-01	9.8e-01	NUM
ijassa-1006	375	62	)	)	PUNCT
ijassa-1006	375	63	2.711	2.711	NUM
ijassa-1006	375	64	(	(	PUNCT
ijassa-1006	375	65	9.2e-02	9.2e-02	NUM
ijassa-1006	375	66	)	)	PUNCT
ijassa-1006	375	67	+	+	CCONJ
ijassa-1006	375	68	4.069	4.069	NUM
ijassa-1006	375	69	(	(	PUNCT
ijassa-1006	375	70	3.0e-01	3.0e-01	NUM
ijassa-1006	375	71	)	)	PUNCT
ijassa-1006	375	72	3.147	3.147	NUM
ijassa-1006	375	73	(	(	PUNCT
ijassa-1006	375	74	1.3e-01	1.3e-01	NUM
ijassa-1006	375	75	)	)	PUNCT
ijassa-1006	375	76	3.716	3.716	NUM
ijassa-1006	375	77	(	(	PUNCT
ijassa-1006	375	78	1.6e+00	1.6e+00	NUM
ijassa-1006	375	79	)	)	PUNCT
ijassa-1006	375	80	2.431	2.431	NUM
ijassa-1006	375	81	(	(	PUNCT
ijassa-1006	375	82	5.6e-02	5.6e-02	NOUN
ijassa-1006	375	83	)	)	PUNCT
ijassa-1006	375	84	dtlz2(3,120	dtlz2(3,120	NOUN
ijassa-1006	375	85	)	)	PUNCT
ijassa-1006	375	86	nsga	nsga	NOUN
ijassa-1006	375	87	-	-	PUNCT
ijassa-1006	375	88	ii	ii	PROPN
ijassa-1006	375	89	mopso	mopso	PROPN
ijassa-1006	375	90	nsde	nsde	PROPN
ijassa-1006	375	91	moea	moea	NOUN
ijassa-1006	375	92	/	/	SYM
ijassa-1006	375	93	d	d	ADJ
ijassa-1006	375	94	-	-	PUNCT
ijassa-1006	375	95	de	de	X
ijassa-1006	375	96	mode	mode	NOUN
ijassa-1006	375	97	-	-	PUNCT
ijassa-1006	375	98	rmo	rmo	PROPN
ijassa-1006	375	99	mode	mode	PROPN
ijassa-1006	375	100	-	-	PUNCT
ijassa-1006	375	101	obl	obl	PROPN
ijassa-1006	375	102	0.201	0.201	NUM
ijassa-1006	375	103	(	(	PUNCT
ijassa-1006	375	104	1.5e-01	1.5e-01	X
ijassa-1006	375	105	)	)	PUNCT
ijassa-1006	375	106	0.178	0.178	NUM
ijassa-1006	375	107	(	(	PUNCT
ijassa-1006	375	108	8.4e-04	8.4e-04	NUM
ijassa-1006	375	109	)	)	PUNCT
ijassa-1006	375	110	0.2719	0.2719	NUM
ijassa-1006	375	111	(	(	PUNCT
ijassa-1006	375	112	5.1e-01	5.1e-01	NOUN
ijassa-1006	375	113	)	)	PUNCT
ijassa-1006	375	114	0.153	0.153	NUM
ijassa-1006	375	115	(	(	PUNCT
ijassa-1006	375	116	1.1e-03	1.1e-03	NUM
ijassa-1006	375	117	)	)	PUNCT
ijassa-1006	375	118	+	+	NUM
ijassa-1006	375	119	0.254	0.254	NUM
ijassa-1006	375	120	(	(	PUNCT
ijassa-1006	375	121	4.3e-02	4.3e-02	NOUN
ijassa-1006	375	122	)	)	PUNCT
ijassa-1006	375	123	0.154	0.154	NUM
ijassa-1006	375	124	(	(	PUNCT
ijassa-1006	375	125	8.8e-03	8.8e-03	NUM
ijassa-1006	375	126	)	)	PUNCT
ijassa-1006	375	127	0.012	0.012	NUM
ijassa-1006	375	128	(	(	PUNCT
ijassa-1006	375	129	1.9e-03	1.9e-03	NUM
ijassa-1006	375	130	)	)	PUNCT
ijassa-1006	375	131	0.006	0.006	NUM
ijassa-1006	375	132	(	(	PUNCT
ijassa-1006	375	133	1.4e-05	1.4e-05	NUM
ijassa-1006	375	134	)	)	PUNCT
ijassa-1006	375	135	+	+	CCONJ
ijassa-1006	375	136	2.130	2.130	NUM
ijassa-1006	375	137	(	(	PUNCT
ijassa-1006	375	138	5.7e+00	5.7e+00	NUM
ijassa-1006	375	139	)	)	PUNCT
ijassa-1006	375	140	0.049	0.049	NUM
ijassa-1006	375	141	(	(	PUNCT
ijassa-1006	375	142	1.4e-02	1.4e-02	NUM
ijassa-1006	375	143	)	)	PUNCT
ijassa-1006	375	144	0.742	0.742	NUM
ijassa-1006	375	145	(	(	PUNCT
ijassa-1006	375	146	5.8e-05	5.8e-05	NUM
ijassa-1006	375	147	)	)	PUNCT
ijassa-1006	375	148	0.111	0.111	NUM
ijassa-1006	375	149	(	(	PUNCT
ijassa-1006	375	150	2.4e-02	2.4e-02	NUM
ijassa-1006	375	151	)	)	PUNCT
ijassa-1006	375	152	dtlz3(3,12	dtlz3(3,12	NOUN
ijassa-1006	375	153	)	)	PUNCT
ijassa-1006	375	154	nsga	nsga	NOUN
ijassa-1006	375	155	-	-	PUNCT
ijassa-1006	375	156	ii	ii	PROPN
ijassa-1006	375	157	mopso	mopso	PROPN
ijassa-1006	375	158	nsde	nsde	PROPN
ijassa-1006	375	159	moea	moea	NOUN
ijassa-1006	375	160	/	/	SYM
ijassa-1006	375	161	d	d	ADJ
ijassa-1006	375	162	-	-	PUNCT
ijassa-1006	375	163	de	de	X
ijassa-1006	375	164	mode	mode	NOUN
ijassa-1006	375	165	-	-	PUNCT
ijassa-1006	375	166	rmo	rmo	PROPN
ijassa-1006	375	167	mode	mode	PROPN
ijassa-1006	375	168	-	-	PUNCT
ijassa-1006	375	169	obl	obl	PROPN
ijassa-1006	375	170	0.766	0.766	NUM
ijassa-1006	375	171	(	(	PUNCT
ijassa-1006	375	172	4.0e-02	4.0e-02	NUM
ijassa-1006	375	173	)	)	PUNCT
ijassa-1006	375	174	1.288	1.288	NUM
ijassa-1006	375	175	(	(	PUNCT
ijassa-1006	375	176	4.1e-01	4.1e-01	NOUN
ijassa-1006	375	177	)	)	PUNCT
ijassa-1006	375	178	0.948	0.948	NUM
ijassa-1006	375	179	(	(	PUNCT
ijassa-1006	375	180	2.1e-02	2.1e-02	NUM
ijassa-1006	375	181	)	)	PUNCT
ijassa-1006	375	182	0.519	0.519	NUM
ijassa-1006	375	183	(	(	PUNCT
ijassa-1006	375	184	1.0e-01	1.0e-01	NUM
ijassa-1006	375	185	)	)	PUNCT
ijassa-1006	375	186	+	+	CCONJ
ijassa-1006	375	187	0.877	0.877	NUM
ijassa-1006	375	188	(	(	PUNCT
ijassa-1006	375	189	3.5e-01	3.5e-01	NUM
ijassa-1006	375	190	)	)	PUNCT
ijassa-1006	375	191	0.565	0.565	NUM
ijassa-1006	375	192	(	(	PUNCT
ijassa-1006	375	193	1.2e-01	1.2e-01	NUM
ijassa-1006	375	194	)	)	PUNCT
ijassa-1006	375	195	0.3013	0.3013	NUM
ijassa-1006	375	196	(	(	PUNCT
ijassa-1006	375	197	2.1e-01	2.1e-01	NUM
ijassa-1006	375	198	)	)	PUNCT
ijassa-1006	375	199	0.2931	0.2931	NUM
ijassa-1006	375	200	(	(	PUNCT
ijassa-1006	375	201	3.7e-02	3.7e-02	NUM
ijassa-1006	375	202	)	)	PUNCT
ijassa-1006	375	203	+	+	CCONJ
ijassa-1006	375	204	1.0623	1.0623	NUM
ijassa-1006	375	205	(	(	PUNCT
ijassa-1006	375	206	6.5e-01	6.5e-01	NUM
ijassa-1006	375	207	)	)	PUNCT
ijassa-1006	375	208	0.4865	0.4865	NUM
ijassa-1006	375	209	(	(	PUNCT
ijassa-1006	375	210	2.4e-02	2.4e-02	NUM
ijassa-1006	375	211	)	)	PUNCT
ijassa-1006	375	212	0.8574	0.8574	NUM
ijassa-1006	375	213	(	(	PUNCT
ijassa-1006	375	214	9.2e-01	9.2e-01	NUM
ijassa-1006	375	215	)	)	PUNCT
ijassa-1006	375	216	0.3021	0.3021	NUM
ijassa-1006	375	217	(	(	PUNCT
ijassa-1006	375	218	5.8e-01	5.8e-01	NUM
ijassa-1006	375	219	)	)	PUNCT
ijassa-1006	375	220	dtlz4(3,120	dtlz4(3,120	ADJ
ijassa-1006	375	221	)	)	PUNCT
ijassa-1006	375	222	nsga	nsga	NOUN
ijassa-1006	375	223	-	-	PUNCT
ijassa-1006	375	224	ii	ii	PROPN
ijassa-1006	375	225	mopso	mopso	PROPN
ijassa-1006	375	226	nsde	nsde	PROPN
ijassa-1006	375	227	moea	moea	NOUN
ijassa-1006	375	228	/	/	SYM
ijassa-1006	375	229	d	d	ADJ
ijassa-1006	375	230	-	-	PUNCT
ijassa-1006	375	231	de	de	X
ijassa-1006	375	232	mode	mode	NOUN
ijassa-1006	375	233	-	-	PUNCT
ijassa-1006	375	234	rmo	rmo	PROPN
ijassa-1006	375	235	mode	mode	PROPN
ijassa-1006	375	236	-	-	PUNCT
ijassa-1006	375	237	obl	obl	PROPN
ijassa-1006	375	238	0.146	0.146	NUM
ijassa-1006	375	239	(	(	PUNCT
ijassa-1006	375	240	1.5e-03	1.5e-03	NUM
ijassa-1006	375	241	)	)	PUNCT
ijassa-1006	375	242	+	+	CCONJ
ijassa-1006	375	243	0.394	0.394	NUM
ijassa-1006	375	244	(	(	PUNCT
ijassa-1006	375	245	2.9e-02	2.9e-02	NUM
ijassa-1006	375	246	)	)	PUNCT
ijassa-1006	375	247	0.463	0.463	NUM
ijassa-1006	375	248	(	(	PUNCT
ijassa-1006	375	249	8.5e-02	8.5e-02	NUM
ijassa-1006	375	250	)	)	PUNCT
ijassa-1006	375	251	0.180	0.180	NUM
ijassa-1006	375	252	(	(	PUNCT
ijassa-1006	375	253	3.7e-02	3.7e-02	NUM
ijassa-1006	375	254	)	)	PUNCT
ijassa-1006	375	255	0.185	0.185	NUM
ijassa-1006	375	256	(	(	PUNCT
ijassa-1006	375	257	8.2e-05	8.2e-05	NUM
ijassa-1006	375	258	)	)	PUNCT
ijassa-1006	375	259	0.158	0.158	NUM
ijassa-1006	375	260	(	(	PUNCT
ijassa-1006	375	261	6.9e-03	6.9e-03	NOUN
ijassa-1006	375	262	)	)	PUNCT
ijassa-1006	375	263	0.387	0.387	NUM
ijassa-1006	375	264	(	(	PUNCT
ijassa-1006	375	265	5.0e-04	5.0e-04	NUM
ijassa-1006	375	266	)	)	PUNCT
ijassa-1006	375	267	0.368	0.368	NUM
ijassa-1006	375	268	(	(	PUNCT
ijassa-1006	375	269	1.1e-02	1.1e-02	NUM
ijassa-1006	375	270	)	)	PUNCT
ijassa-1006	376	1	≈	≈	PROPN
ijassa-1006	376	2	2.648	2.648	NUM
ijassa-1006	376	3	(	(	PUNCT
ijassa-1006	376	4	4.1e-01	4.1e-01	NOUN
ijassa-1006	376	5	)	)	PUNCT
ijassa-1006	376	6	0.391	0.391	NUM
ijassa-1006	376	7	(	(	PUNCT
ijassa-1006	376	8	2.1e-02	2.1e-02	NUM
ijassa-1006	376	9	)	)	PUNCT
ijassa-1006	376	10	0.431	0.431	NUM
ijassa-1006	376	11	(	(	PUNCT
ijassa-1006	376	12	5.2e-02	5.2e-02	NUM
ijassa-1006	376	13	)	)	PUNCT
ijassa-1006	376	14	0.368	0.368	NUM
ijassa-1006	376	15	(	(	PUNCT
ijassa-1006	376	16	8.2e-03	8.2e-03	NUM
ijassa-1006	376	17	)	)	PUNCT
ijassa-1006	376	18	dtlz5(3,120	dtlz5(3,120	NOUN
ijassa-1006	376	19	)	)	PUNCT
ijassa-1006	376	20	nsga	nsga	NOUN
ijassa-1006	376	21	-	-	PUNCT
ijassa-1006	376	22	ii	ii	PROPN
ijassa-1006	376	23	mopso	mopso	PROPN
ijassa-1006	376	24	nsde	nsde	PROPN
ijassa-1006	376	25	moea	moea	NOUN
ijassa-1006	376	26	/	/	SYM
ijassa-1006	376	27	d	d	ADJ
ijassa-1006	376	28	-	-	PUNCT
ijassa-1006	376	29	de	de	X
ijassa-1006	376	30	mode	mode	NOUN
ijassa-1006	376	31	-	-	PUNCT
ijassa-1006	376	32	rmo	rmo	PROPN
ijassa-1006	376	33	mode	mode	PROPN
ijassa-1006	376	34	-	-	PUNCT
ijassa-1006	376	35	obl	obl	PROPN
ijassa-1006	376	36	0.100	0.100	NUM
ijassa-1006	376	37	(	(	PUNCT
ijassa-1006	376	38	1.5e-03	1.5e-03	NUM
ijassa-1006	376	39	)	)	PUNCT
ijassa-1006	376	40	+	+	CCONJ
ijassa-1006	376	41	0.177	0.177	NUM
ijassa-1006	376	42	(	(	PUNCT
ijassa-1006	376	43	5.7e-03	5.7e-03	NUM
ijassa-1006	376	44	)	)	PUNCT
ijassa-1006	376	45	0.537	0.537	NUM
ijassa-1006	376	46	(	(	PUNCT
ijassa-1006	376	47	6.8e-03	6.8e-03	NUM
ijassa-1006	376	48	)	)	PUNCT
ijassa-1006	376	49	0.099	0.099	NUM
ijassa-1006	376	50	(	(	PUNCT
ijassa-1006	376	51	4.6e-06	4.6e-06	NOUN
ijassa-1006	376	52	)	)	PUNCT
ijassa-1006	376	53	+	+	CCONJ
ijassa-1006	376	54	0.231	0.231	NUM
ijassa-1006	376	55	(	(	PUNCT
ijassa-1006	376	56	1.6e-02	1.6e-02	NUM
ijassa-1006	376	57	)	)	PUNCT
ijassa-1006	376	58	0.124	0.124	NUM
ijassa-1006	376	59	(	(	PUNCT
ijassa-1006	376	60	2.7e-03	2.7e-03	NUM
ijassa-1006	376	61	)	)	PUNCT
ijassa-1006	376	62	0.253	0.253	NUM
ijassa-1006	376	63	(	(	PUNCT
ijassa-1006	376	64	5.3e-03	5.3e-03	NUM
ijassa-1006	376	65	)	)	PUNCT
ijassa-1006	376	66	0.046	0.046	NUM
ijassa-1006	376	67	(	(	PUNCT
ijassa-1006	376	68	3.2e-03	3.2e-03	NUM
ijassa-1006	376	69	)	)	PUNCT
ijassa-1006	376	70	+	+	CCONJ
ijassa-1006	376	71	0.134	0.134	NUM
ijassa-1006	376	72	(	(	PUNCT
ijassa-1006	376	73	6.6e-01	6.6e-01	NOUN
ijassa-1006	376	74	)	)	PUNCT
ijassa-1006	376	75	0.026	0.026	NUM
ijassa-1006	376	76	(	(	PUNCT
ijassa-1006	376	77	1.5e-02	1.5e-02	NUM
ijassa-1006	376	78	)	)	PUNCT
ijassa-1006	376	79	+	+	CCONJ
ijassa-1006	376	80	0.668	0.668	NUM
ijassa-1006	376	81	(	(	PUNCT
ijassa-1006	376	82	8.1e-01	8.1e-01	NUM
ijassa-1006	376	83	)	)	PUNCT
ijassa-1006	376	84	0.211	0.211	NUM
ijassa-1006	376	85	(	(	PUNCT
ijassa-1006	376	86	4.7e-03	4.7e-03	NUM
ijassa-1006	376	87	)	)	PUNCT
ijassa-1006	376	88	170	170	NUM
ijassa-1006	376	89	n.	n.	NOUN
ijassa-1006	376	90	boukhari	boukhari	NOUN
ijassa-1006	376	91	,	,	PUNCT
ijassa-1006	376	92	m.	m.	NOUN
ijassa-1006	376	93	a.	a.	NOUN
ijassa-1006	376	94	nemmich	nemmich	PROPN
ijassa-1006	376	95	,	,	PUNCT
ijassa-1006	376	96	f.	f.	PROPN
ijassa-1006	376	97	debbat	debbat	PROPN
ijassa-1006	376	98	,	,	PUNCT
ijassa-1006	376	99	n.	n.	NOUN
ijassa-1006	376	100	monmarché	monmarché	NOUN
ijassa-1006	376	101	,	,	PUNCT
ijassa-1006	376	102	m.	m.	NOUN
ijassa-1006	376	103	slimane	slimane	PROPN
ijassa-1006	376	104	copyright	copyright	NOUN
ijassa-1006	377	1	©	©	PROPN
ijassa-1006	377	2	0000	0000	NUM
ijassa-1006	377	3	assa	assa	PROPN
ijassa-1006	377	4	adv	adv	PROPN
ijassa-1006	377	5	.	.	PUNCT
ijassa-1006	378	1	in	in	ADP
ijassa-1006	378	2	systems	system	NOUN
ijassa-1006	378	3	science	science	NOUN
ijassa-1006	378	4	and	and	CCONJ
ijassa-1006	378	5	appl	appl	NOUN
ijassa-1006	378	6	.	.	PUNCT
ijassa-1006	379	1	(	(	PUNCT
ijassa-1006	379	2	0000	0000	NUM
ijassa-1006	379	3	)	)	PUNCT
ijassa-1006	379	4	dtlz6(3,120	dtlz6(3,120	NOUN
ijassa-1006	379	5	)	)	PUNCT
ijassa-1006	379	6	nsga	nsga	NOUN
ijassa-1006	379	7	-	-	PUNCT
ijassa-1006	379	8	ii	ii	PROPN
ijassa-1006	379	9	mopso	mopso	PROPN
ijassa-1006	379	10	nsde	nsde	PROPN
ijassa-1006	379	11	moea	moea	NOUN
ijassa-1006	379	12	/	/	SYM
ijassa-1006	379	13	d	d	ADJ
ijassa-1006	379	14	-	-	PUNCT
ijassa-1006	379	15	de	de	X
ijassa-1006	379	16	mode	mode	NOUN
ijassa-1006	379	17	-	-	PUNCT
ijassa-1006	379	18	rmo	rmo	PROPN
ijassa-1006	379	19	mode	mode	PROPN
ijassa-1006	379	20	-	-	PUNCT
ijassa-1006	379	21	obl	obl	PROPN
ijassa-1006	379	22	0.413	0.413	NUM
ijassa-1006	379	23	(	(	PUNCT
ijassa-1006	379	24	7.1e-02	7.1e-02	NUM
ijassa-1006	379	25	)	)	PUNCT
ijassa-1006	379	26	9.086	9.086	NUM
ijassa-1006	379	27	(	(	PUNCT
ijassa-1006	379	28	4.8e+00	4.8e+00	NUM
ijassa-1006	379	29	)	)	PUNCT
ijassa-1006	379	30	0.201	0.201	NUM
ijassa-1006	379	31	(	(	PUNCT
ijassa-1006	379	32	4.1e-02	4.1e-02	NOUN
ijassa-1006	379	33	)	)	PUNCT
ijassa-1006	379	34	0.112	0.112	NUM
ijassa-1006	379	35	(	(	PUNCT
ijassa-1006	379	36	3.1e-03	3.1e-03	NUM
ijassa-1006	379	37	)	)	PUNCT
ijassa-1006	379	38	0.113	0.113	NUM
ijassa-1006	379	39	(	(	PUNCT
ijassa-1006	379	40	2.5e-03	2.5e-03	PROPN
ijassa-1006	379	41	)	)	PUNCT
ijassa-1006	379	42	0.099	0.099	NUM
ijassa-1006	379	43	(	(	PUNCT
ijassa-1006	379	44	2.9e-03	2.9e-03	NOUN
ijassa-1006	379	45	)	)	PUNCT
ijassa-1006	379	46	1.874	1.874	NUM
ijassa-1006	379	47	(	(	PUNCT
ijassa-1006	379	48	6.3e-01	6.3e-01	NOUN
ijassa-1006	379	49	)	)	PUNCT
ijassa-1006	379	50	1.272	1.272	NUM
ijassa-1006	379	51	(	(	PUNCT
ijassa-1006	379	52	3.6e-02	3.6e-02	NUM
ijassa-1006	379	53	)	)	PUNCT
ijassa-1006	379	54	2.063	2.063	NUM
ijassa-1006	379	55	(	(	PUNCT
ijassa-1006	379	56	6.1e-02	6.1e-02	NUM
ijassa-1006	379	57	)	)	PUNCT
ijassa-1006	379	58	0.246	0.246	NUM
ijassa-1006	379	59	(	(	PUNCT
ijassa-1006	379	60	1.3e-03	1.3e-03	NUM
ijassa-1006	379	61	)	)	PUNCT
ijassa-1006	379	62	+	+	CCONJ
ijassa-1006	379	63	1.346	1.346	NUM
ijassa-1006	379	64	(	(	PUNCT
ijassa-1006	379	65	5.5e-02	5.5e-02	NUM
ijassa-1006	379	66	)	)	PUNCT
ijassa-1006	379	67	1.080	1.080	NUM
ijassa-1006	379	68	(	(	PUNCT
ijassa-1006	379	69	7.3e-03	7.3e-03	NUM
ijassa-1006	379	70	)	)	PUNCT
ijassa-1006	379	71	dtlz7(3,120	dtlz7(3,120	NOUN
ijassa-1006	379	72	)	)	PUNCT
ijassa-1006	379	73	nsga	nsga	NOUN
ijassa-1006	379	74	-	-	PUNCT
ijassa-1006	379	75	ii	ii	PROPN
ijassa-1006	379	76	mopso	mopso	PROPN
ijassa-1006	379	77	nsde	nsde	PROPN
ijassa-1006	379	78	moea	moea	NOUN
ijassa-1006	379	79	/	/	SYM
ijassa-1006	379	80	d	d	ADJ
ijassa-1006	379	81	-	-	PUNCT
ijassa-1006	379	82	de	de	X
ijassa-1006	379	83	mode	mode	NOUN
ijassa-1006	379	84	-	-	PUNCT
ijassa-1006	379	85	rmo	rmo	PROPN
ijassa-1006	379	86	mode	mode	PROPN
ijassa-1006	379	87	-	-	PUNCT
ijassa-1006	379	88	obl	obl	PROPN
ijassa-1006	379	89	2.547	2.547	NUM
ijassa-1006	379	90	(	(	PUNCT
ijassa-1006	379	91	2.1e-01	2.1e-01	NUM
ijassa-1006	379	92	)	)	PUNCT
ijassa-1006	379	93	+	+	CCONJ
ijassa-1006	379	94	11.18	11.18	NUM
ijassa-1006	379	95	(	(	PUNCT
ijassa-1006	379	96	9.6e+00	9.6e+00	NUM
ijassa-1006	379	97	)	)	PUNCT
ijassa-1006	379	98	18.07	18.07	NUM
ijassa-1006	379	99	(	(	PUNCT
ijassa-1006	379	100	2.5e+02	2.5e+02	NUM
ijassa-1006	379	101	)	)	PUNCT
ijassa-1006	379	102	6.061	6.061	NUM
ijassa-1006	379	103	(	(	PUNCT
ijassa-1006	379	104	6.1e-01	6.1e-01	NUM
ijassa-1006	379	105	)	)	PUNCT
ijassa-1006	379	106	7.645	7.645	NUM
ijassa-1006	379	107	(	(	PUNCT
ijassa-1006	379	108	1.1e+00	1.1e+00	NUM
ijassa-1006	379	109	)	)	PUNCT
ijassa-1006	379	110	2.614	2.614	NUM
ijassa-1006	379	111	(	(	PUNCT
ijassa-1006	379	112	7.7e-02	7.7e-02	NUM
ijassa-1006	379	113	)	)	PUNCT
ijassa-1006	379	114	0.813	0.813	NUM
ijassa-1006	379	115	(	(	PUNCT
ijassa-1006	379	116	3.8e-01	3.8e-01	NUM
ijassa-1006	379	117	)	)	PUNCT
ijassa-1006	379	118	0.791	0.791	NUM
ijassa-1006	379	119	(	(	PUNCT
ijassa-1006	379	120	4.2e-02	4.2e-02	NOUN
ijassa-1006	379	121	)	)	PUNCT
ijassa-1006	379	122	0.955	0.955	NUM
ijassa-1006	379	123	(	(	PUNCT
ijassa-1006	379	124	2.1e-01	2.1e-01	NUM
ijassa-1006	379	125	)	)	PUNCT
ijassa-1006	379	126	0.744	0.744	NUM
ijassa-1006	379	127	(	(	PUNCT
ijassa-1006	379	128	6.4e-01	6.4e-01	NOUN
ijassa-1006	379	129	)	)	PUNCT
ijassa-1006	379	130	0.669	0.669	NUM
ijassa-1006	379	131	(	(	PUNCT
ijassa-1006	379	132	8.6e-02	8.6e-02	NUM
ijassa-1006	379	133	)	)	PUNCT
ijassa-1006	379	134	0.668	0.668	NUM
ijassa-1006	379	135	(	(	PUNCT
ijassa-1006	379	136	2.2e-03	2.2e-03	NUM
ijassa-1006	379	137	)	)	PUNCT
ijassa-1006	379	138	table	table	NOUN
ijassa-1006	379	139	5.5	5.5	NUM
ijassa-1006	379	140	.	.	PUNCT
ijassa-1006	380	1	results	result	NOUN
ijassa-1006	380	2	obtained	obtain	VERB
ijassa-1006	380	3	by	by	ADP
ijassa-1006	380	4	algorithms	algorithm	NOUN
ijassa-1006	380	5	for	for	ADP
ijassa-1006	380	6	dtlz	dtlz	ADJ
ijassa-1006	380	7	problems	problem	NOUN
ijassa-1006	380	8	(	(	PUNCT
ijassa-1006	380	9	5	5	NUM
ijassa-1006	380	10	objectives	objective	NOUN
ijassa-1006	380	11	)	)	PUNCT
ijassa-1006	380	12	test	test	NOUN
ijassa-1006	380	13	problem	problem	NOUN
ijassa-1006	380	14	algorithm	algorithm	PROPN
ijassa-1006	380	15	igd	igd	PROPN
ijassa-1006	380	16	gd	gd	PROPN
ijassa-1006	380	17	dtlz1(5,12	dtlz1(5,12	ADV
ijassa-1006	380	18	)	)	PUNCT
ijassa-1006	380	19	nsga	nsga	PROPN
ijassa-1006	380	20	-	-	PUNCT
ijassa-1006	380	21	ii	ii	PROPN
ijassa-1006	380	22	mopso	mopso	PROPN
ijassa-1006	380	23	nsde	nsde	PROPN
ijassa-1006	380	24	moea	moea	NOUN
ijassa-1006	380	25	/	/	SYM
ijassa-1006	380	26	d	d	ADJ
ijassa-1006	380	27	-	-	PUNCT
ijassa-1006	380	28	de	de	X
ijassa-1006	380	29	mode	mode	NOUN
ijassa-1006	380	30	-	-	PUNCT
ijassa-1006	380	31	rmo	rmo	PROPN
ijassa-1006	380	32	mode	mode	PROPN
ijassa-1006	380	33	-	-	PUNCT
ijassa-1006	380	34	obl	obl	PROPN
ijassa-1006	380	35	1.355	1.355	NUM
ijassa-1006	380	36	(	(	PUNCT
ijassa-1006	380	37	2.6e-02	2.6e-02	NUM
ijassa-1006	380	38	)	)	PUNCT
ijassa-1006	380	39	8.413	8.413	NUM
ijassa-1006	380	40	(	(	PUNCT
ijassa-1006	380	41	3.7e+00	3.7e+00	NUM
ijassa-1006	380	42	)	)	PUNCT
ijassa-1006	380	43	1.686	1.686	NUM
ijassa-1006	380	44	(	(	PUNCT
ijassa-1006	380	45	1.1e-01	1.1e-01	NUM
ijassa-1006	380	46	)	)	PUNCT
ijassa-1006	380	47	1.344	1.344	NUM
ijassa-1006	380	48	(	(	PUNCT
ijassa-1006	380	49	5.0e-06	5.0e-06	NUM
ijassa-1006	380	50	)	)	PUNCT
ijassa-1006	380	51	1.567	1.567	NUM
ijassa-1006	380	52	(	(	PUNCT
ijassa-1006	380	53	5.7e-02	5.7e-02	NUM
ijassa-1006	380	54	)	)	PUNCT
ijassa-1006	380	55	1.227	1.227	NUM
ijassa-1006	380	56	(	(	PUNCT
ijassa-1006	380	57	3.8e-03	3.8e-03	NUM
ijassa-1006	380	58	)	)	PUNCT
ijassa-1006	380	59	1.814	1.814	NUM
ijassa-1006	380	60	(	(	PUNCT
ijassa-1006	380	61	1.6e-02	1.6e-02	NUM
ijassa-1006	380	62	)	)	PUNCT
ijassa-1006	380	63	3.297	3.297	NUM
ijassa-1006	380	64	(	(	PUNCT
ijassa-1006	380	65	1.0e+00	1.0e+00	NUM
ijassa-1006	380	66	)	)	PUNCT
ijassa-1006	380	67	2.278	2.278	NUM
ijassa-1006	380	68	(	(	PUNCT
ijassa-1006	380	69	3.2e-01	3.2e-01	NUM
ijassa-1006	380	70	)	)	PUNCT
ijassa-1006	380	71	1.745	1.745	NUM
ijassa-1006	380	72	(	(	PUNCT
ijassa-1006	380	73	1.4e-02	1.4e-02	NUM
ijassa-1006	380	74	)	)	PUNCT
ijassa-1006	380	75	1.793	1.793	NUM
ijassa-1006	380	76	(	(	PUNCT
ijassa-1006	380	77	2.2e-02	2.2e-02	NUM
ijassa-1006	380	78	)	)	PUNCT
ijassa-1006	380	79	1.726	1.726	NUM
ijassa-1006	380	80	(	(	PUNCT
ijassa-1006	380	81	2.5e-02	2.5e-02	NUM
ijassa-1006	380	82	)	)	PUNCT
ijassa-1006	380	83	+	+	NUM
ijassa-1006	380	84	dtlz2(5,120	dtlz2(5,120	NOUN
ijassa-1006	380	85	)	)	PUNCT
ijassa-1006	380	86	nsga	nsga	NOUN
ijassa-1006	380	87	-	-	PUNCT
ijassa-1006	380	88	ii	ii	PROPN
ijassa-1006	380	89	mopso	mopso	PROPN
ijassa-1006	380	90	nsde	nsde	PROPN
ijassa-1006	380	91	moea	moea	NOUN
ijassa-1006	380	92	/	/	SYM
ijassa-1006	380	93	d	d	ADJ
ijassa-1006	380	94	-	-	PUNCT
ijassa-1006	380	95	de	de	X
ijassa-1006	380	96	mode	mode	NOUN
ijassa-1006	380	97	-	-	PUNCT
ijassa-1006	380	98	rmo	rmo	PROPN
ijassa-1006	380	99	mode	mode	PROPN
ijassa-1006	380	100	-	-	PUNCT
ijassa-1006	380	101	obl	obl	PROPN
ijassa-1006	380	102	0.410	0.410	NUM
ijassa-1006	380	103	(	(	PUNCT
ijassa-1006	380	104	5.9e-02	5.9e-02	NUM
ijassa-1006	380	105	)	)	PUNCT
ijassa-1006	380	106	1.397	1.397	NUM
ijassa-1006	380	107	(	(	PUNCT
ijassa-1006	380	108	5.0e-05	5.0e-05	NUM
ijassa-1006	380	109	)	)	PUNCT
ijassa-1006	380	110	3.561	3.561	NUM
ijassa-1006	380	111	(	(	PUNCT
ijassa-1006	380	112	3.2e-02	3.2e-02	PROPN
ijassa-1006	380	113	)	)	PUNCT
ijassa-1006	380	114	0.257	0.257	NUM
ijassa-1006	380	115	(	(	PUNCT
ijassa-1006	380	116	1.1e-03	1.1e-03	NUM
ijassa-1006	380	117	)	)	PUNCT
ijassa-1006	380	118	0.658	0.658	NUM
ijassa-1006	380	119	(	(	PUNCT
ijassa-1006	380	120	7.4e-02	7.4e-02	NUM
ijassa-1006	380	121	)	)	PUNCT
ijassa-1006	380	122	0.224	0.224	NUM
ijassa-1006	380	123	(	(	PUNCT
ijassa-1006	380	124	4.7e-03	4.7e-03	NUM
ijassa-1006	380	125	)	)	PUNCT
ijassa-1006	380	126	0.194	0.194	NUM
ijassa-1006	380	127	(	(	PUNCT
ijassa-1006	380	128	7.2e-01	7.2e-01	NUM
ijassa-1006	380	129	)	)	PUNCT
ijassa-1006	380	130	0.438	0.438	NUM
ijassa-1006	380	131	(	(	PUNCT
ijassa-1006	380	132	3.2e-02	3.2e-02	PROPN
ijassa-1006	380	133	)	)	PUNCT
ijassa-1006	380	134	4.152	4.152	NUM
ijassa-1006	380	135	(	(	PUNCT
ijassa-1006	380	136	4.2e-01	4.2e-01	NOUN
ijassa-1006	380	137	)	)	PUNCT
ijassa-1006	380	138	0.156	0.156	NUM
ijassa-1006	380	139	(	(	PUNCT
ijassa-1006	380	140	1.2e-03	1.2e-03	NUM
ijassa-1006	380	141	)	)	PUNCT
ijassa-1006	380	142	+	+	NUM
ijassa-1006	380	143	0.306	0.306	NUM
ijassa-1006	380	144	(	(	PUNCT
ijassa-1006	380	145	4.6e-02	4.6e-02	NUM
ijassa-1006	380	146	)	)	PUNCT
ijassa-1006	380	147	0.218	0.218	NUM
ijassa-1006	380	148	(	(	PUNCT
ijassa-1006	380	149	2.1e-02	2.1e-02	NUM
ijassa-1006	380	150	)	)	PUNCT
ijassa-1006	380	151	dtlz3(5,12	dtlz3(5,12	NOUN
ijassa-1006	380	152	)	)	PUNCT
ijassa-1006	380	153	nsga	nsga	NOUN
ijassa-1006	380	154	-	-	PUNCT
ijassa-1006	380	155	ii	ii	PROPN
ijassa-1006	380	156	mopso	mopso	PROPN
ijassa-1006	380	157	nsde	nsde	PROPN
ijassa-1006	380	158	moea	moea	NOUN
ijassa-1006	380	159	/	/	SYM
ijassa-1006	380	160	d	d	ADJ
ijassa-1006	380	161	-	-	PUNCT
ijassa-1006	380	162	de	de	X
ijassa-1006	380	163	mode	mode	NOUN
ijassa-1006	380	164	-	-	PUNCT
ijassa-1006	380	165	rmo	rmo	PROPN
ijassa-1006	380	166	mode	mode	PROPN
ijassa-1006	380	167	-	-	PUNCT
ijassa-1006	380	168	obl	obl	PROPN
ijassa-1006	380	169	1.548	1.548	NUM
ijassa-1006	380	170	(	(	PUNCT
ijassa-1006	380	171	5.9e-02	5.9e-02	NUM
ijassa-1006	380	172	)	)	PUNCT
ijassa-1006	380	173	3.157	3.157	NUM
ijassa-1006	380	174	(	(	PUNCT
ijassa-1006	380	175	2.5e+00	2.5e+00	NUM
ijassa-1006	380	176	)	)	PUNCT
ijassa-1006	380	177	4.699	4.699	NUM
ijassa-1006	380	178	(	(	PUNCT
ijassa-1006	380	179	2.1e+00	2.1e+00	NUM
ijassa-1006	380	180	)	)	PUNCT
ijassa-1006	380	181	0.881	0.881	NUM
ijassa-1006	380	182	(	(	PUNCT
ijassa-1006	380	183	1.1e-01	1.1e-01	NUM
ijassa-1006	380	184	)	)	PUNCT
ijassa-1006	380	185	1.978	1.978	NUM
ijassa-1006	380	186	(	(	PUNCT
ijassa-1006	380	187	4.1e-01	4.1e-01	NOUN
ijassa-1006	380	188	)	)	PUNCT
ijassa-1006	380	189	0.682	0.682	NUM
ijassa-1006	380	190	(	(	PUNCT
ijassa-1006	380	191	2.1e-01	2.1e-01	NUM
ijassa-1006	380	192	)	)	PUNCT
ijassa-1006	380	193	2.852	2.852	NUM
ijassa-1006	380	194	(	(	PUNCT
ijassa-1006	380	195	4.4e-03	4.4e-03	NOUN
ijassa-1006	380	196	)	)	PUNCT
ijassa-1006	380	197	4.043	4.043	NUM
ijassa-1006	380	198	(	(	PUNCT
ijassa-1006	380	199	8.7e-02	8.7e-02	NUM
ijassa-1006	380	200	)	)	PUNCT
ijassa-1006	380	201	2.973	2.973	NUM
ijassa-1006	380	202	(	(	PUNCT
ijassa-1006	380	203	2.2e+00	2.2e+00	NUM
ijassa-1006	380	204	)	)	PUNCT
ijassa-1006	380	205	1.663	1.663	NUM
ijassa-1006	380	206	(	(	PUNCT
ijassa-1006	380	207	2.1e-02	2.1e-02	NUM
ijassa-1006	380	208	)	)	PUNCT
ijassa-1006	380	209	+	+	CCONJ
ijassa-1006	380	210	2.528	2.528	NUM
ijassa-1006	380	211	(	(	PUNCT
ijassa-1006	380	212	5.8e-02	5.8e-02	NUM
ijassa-1006	380	213	)	)	PUNCT
ijassa-1006	380	214	1.906	1.906	NUM
ijassa-1006	380	215	(	(	PUNCT
ijassa-1006	380	216	4.5e-03	4.5e-03	NOUN
ijassa-1006	380	217	)	)	PUNCT
ijassa-1006	380	218	dtlz4(5,120	dtlz4(5,120	ADJ
ijassa-1006	380	219	)	)	PUNCT
ijassa-1006	380	220	nsga	nsga	NOUN
ijassa-1006	380	221	-	-	PUNCT
ijassa-1006	380	222	ii	ii	PROPN
ijassa-1006	380	223	mopso	mopso	PROPN
ijassa-1006	380	224	nsde	nsde	PROPN
ijassa-1006	380	225	moea	moea	NOUN
ijassa-1006	380	226	/	/	SYM
ijassa-1006	380	227	d	d	ADJ
ijassa-1006	380	228	-	-	PUNCT
ijassa-1006	380	229	de	de	X
ijassa-1006	380	230	mode	mode	NOUN
ijassa-1006	380	231	-	-	PUNCT
ijassa-1006	380	232	rmo	rmo	PROPN
ijassa-1006	380	233	mode	mode	PROPN
ijassa-1006	380	234	-	-	PUNCT
ijassa-1006	380	235	obl	obl	PROPN
ijassa-1006	380	236	2.245	2.245	NUM
ijassa-1006	380	237	(	(	PUNCT
ijassa-1006	380	238	8.9e-03	8.9e-03	NUM
ijassa-1006	380	239	)	)	PUNCT
ijassa-1006	380	240	4.398	4.398	NUM
ijassa-1006	380	241	(	(	PUNCT
ijassa-1006	380	242	2.2e-02	2.2e-02	NUM
ijassa-1006	380	243	)	)	PUNCT
ijassa-1006	380	244	6.544	6.544	NUM
ijassa-1006	380	245	(	(	PUNCT
ijassa-1006	380	246	3.9e-02	3.9e-02	PROPN
ijassa-1006	380	247	)	)	PUNCT
ijassa-1006	380	248	2.224	2.224	NUM
ijassa-1006	380	249	(	(	PUNCT
ijassa-1006	380	250	1.4e-03	1.4e-03	NUM
ijassa-1006	380	251	)	)	PUNCT
ijassa-1006	380	252	+	+	CCONJ
ijassa-1006	380	253	2.365	2.365	NUM
ijassa-1006	380	254	(	(	PUNCT
ijassa-1006	380	255	1.1e-02	1.1e-02	NUM
ijassa-1006	380	256	)	)	PUNCT
ijassa-1006	380	257	2.330	2.330	NUM
ijassa-1006	380	258	(	(	PUNCT
ijassa-1006	380	259	1.6e-02	1.6e-02	NUM
ijassa-1006	380	260	)	)	PUNCT
ijassa-1006	380	261	0.956	0.956	NUM
ijassa-1006	380	262	(	(	PUNCT
ijassa-1006	380	263	1.4e-02	1.4e-02	NUM
ijassa-1006	380	264	)	)	PUNCT
ijassa-1006	380	265	1.030	1.030	NUM
ijassa-1006	380	266	(	(	PUNCT
ijassa-1006	380	267	8.0e-02	8.0e-02	NUM
ijassa-1006	380	268	)	)	PUNCT
ijassa-1006	380	269	3.680	3.680	NUM
ijassa-1006	380	270	(	(	PUNCT
ijassa-1006	380	271	8.7e-01	8.7e-01	NUM
ijassa-1006	380	272	)	)	PUNCT
ijassa-1006	380	273	0.899	0.899	NUM
ijassa-1006	380	274	(	(	PUNCT
ijassa-1006	380	275	2.0e-02	2.0e-02	NUM
ijassa-1006	380	276	)	)	PUNCT
ijassa-1006	380	277	+	+	CCONJ
ijassa-1006	380	278	3.258	3.258	NUM
ijassa-1006	380	279	(	(	PUNCT
ijassa-1006	380	280	3.9e-01	3.9e-01	NUM
ijassa-1006	380	281	)	)	PUNCT
ijassa-1006	380	282	1.269	1.269	NUM
ijassa-1006	380	283	(	(	PUNCT
ijassa-1006	380	284	4.4e-02	4.4e-02	NUM
ijassa-1006	380	285	)	)	PUNCT
ijassa-1006	380	286	dtlz5(5,120	dtlz5(5,120	ADJ
ijassa-1006	380	287	)	)	PUNCT
ijassa-1006	380	288	nsga	nsga	NOUN
ijassa-1006	380	289	-	-	PUNCT
ijassa-1006	380	290	ii	ii	PROPN
ijassa-1006	380	291	mopso	mopso	PROPN
ijassa-1006	380	292	nsde	nsde	PROPN
ijassa-1006	380	293	moea	moea	NOUN
ijassa-1006	380	294	/	/	SYM
ijassa-1006	380	295	d	d	ADJ
ijassa-1006	380	296	-	-	PUNCT
ijassa-1006	380	297	de	de	X
ijassa-1006	380	298	mode	mode	NOUN
ijassa-1006	380	299	-	-	PUNCT
ijassa-1006	380	300	rmo	rmo	PROPN
ijassa-1006	380	301	mode	mode	PROPN
ijassa-1006	380	302	-	-	PUNCT
ijassa-1006	380	303	obl	obl	PROPN
ijassa-1006	380	304	1.267	1.267	NUM
ijassa-1006	380	305	(	(	PUNCT
ijassa-1006	380	306	1.4e-02	1.4e-02	NUM
ijassa-1006	380	307	)	)	PUNCT
ijassa-1006	380	308	3.441	3.441	NUM
ijassa-1006	380	309	(	(	PUNCT
ijassa-1006	380	310	4.7e-02	4.7e-02	NOUN
ijassa-1006	380	311	)	)	PUNCT
ijassa-1006	380	312	2.811	2.811	NUM
ijassa-1006	380	313	(	(	PUNCT
ijassa-1006	380	314	4.3e-02	4.3e-02	NOUN
ijassa-1006	380	315	)	)	PUNCT
ijassa-1006	380	316	1.169	1.169	NUM
ijassa-1006	380	317	(	(	PUNCT
ijassa-1006	380	318	5.0e-03	5.0e-03	NUM
ijassa-1006	380	319	)	)	PUNCT
ijassa-1006	380	320	+	+	CCONJ
ijassa-1006	380	321	1.345	1.345	NUM
ijassa-1006	380	322	(	(	PUNCT
ijassa-1006	380	323	2.8e-02	2.8e-02	NUM
ijassa-1006	380	324	)	)	PUNCT
ijassa-1006	380	325	1.219	1.219	NUM
ijassa-1006	380	326	(	(	PUNCT
ijassa-1006	380	327	1.0e-02	1.0e-02	NUM
ijassa-1006	380	328	)	)	PUNCT
ijassa-1006	380	329	0.475	0.475	NUM
ijassa-1006	380	330	(	(	PUNCT
ijassa-1006	380	331	1.2e-01	1.2e-01	NUM
ijassa-1006	380	332	)	)	PUNCT
ijassa-1006	380	333	8.762	8.762	NUM
ijassa-1006	380	334	(	(	PUNCT
ijassa-1006	380	335	5e+05	5e+05	NUM
ijassa-1006	380	336	)	)	PUNCT
ijassa-1006	380	337	4.75	4.75	NUM
ijassa-1006	380	338	(	(	PUNCT
ijassa-1006	380	339	1.4e-01	1.4e-01	NUM
ijassa-1006	380	340	)	)	PUNCT
ijassa-1006	380	341	0.097	0.097	NUM
ijassa-1006	380	342	(	(	PUNCT
ijassa-1006	380	343	5.7e-02	5.7e-02	NUM
ijassa-1006	380	344	)	)	PUNCT
ijassa-1006	380	345	+	+	CCONJ
ijassa-1006	380	346	1.682	1.682	NUM
ijassa-1006	380	347	(	(	PUNCT
ijassa-1006	380	348	5.7e+01	5.7e+01	NOUN
ijassa-1006	380	349	)	)	PUNCT
ijassa-1006	380	350	1.104	1.104	NUM
ijassa-1006	380	351	(	(	PUNCT
ijassa-1006	380	352	2.0e-03	2.0e-03	NUM
ijassa-1006	380	353	)	)	PUNCT
ijassa-1006	380	354	dtlz6(5,120	dtlz6(5,120	NOUN
ijassa-1006	380	355	)	)	PUNCT
ijassa-1006	380	356	nsga	nsga	NOUN
ijassa-1006	380	357	-	-	PUNCT
ijassa-1006	380	358	ii	ii	PROPN
ijassa-1006	380	359	mopso	mopso	PROPN
ijassa-1006	380	360	nsde	nsde	PROPN
ijassa-1006	380	361	moea	moea	NOUN
ijassa-1006	380	362	/	/	SYM
ijassa-1006	380	363	d	d	ADJ
ijassa-1006	380	364	-	-	PUNCT
ijassa-1006	380	365	de	de	X
ijassa-1006	380	366	mode	mode	NOUN
ijassa-1006	380	367	-	-	PUNCT
ijassa-1006	380	368	rmo	rmo	PROPN
ijassa-1006	380	369	mode	mode	PROPN
ijassa-1006	380	370	-	-	PUNCT
ijassa-1006	380	371	obl	obl	PROPN
ijassa-1006	380	372	2.2e+09	2.2e+09	NUM
ijassa-1006	380	373	(	(	PUNCT
ijassa-1006	380	374	6e+09	6e+09	NOUN
ijassa-1006	380	375	)	)	PUNCT
ijassa-1006	380	376	5.9e+10	5.9e+10	NUM
ijassa-1006	380	377	(	(	PUNCT
ijassa-1006	380	378	3e+10	3e+10	NOUN
ijassa-1006	380	379	)	)	PUNCT
ijassa-1006	380	380	2.946	2.946	NUM
ijassa-1006	380	381	(	(	PUNCT
ijassa-1006	380	382	2.7e+01	2.7e+01	NUM
ijassa-1006	380	383	)	)	PUNCT
ijassa-1006	380	384	1.061	1.061	NUM
ijassa-1006	380	385	(	(	PUNCT
ijassa-1006	380	386	5.5e-02	5.5e-02	NUM
ijassa-1006	380	387	)	)	PUNCT
ijassa-1006	380	388	1.402	1.402	NUM
ijassa-1006	380	389	(	(	PUNCT
ijassa-1006	380	390	8.5e-02	8.5e-02	NUM
ijassa-1006	380	391	)	)	PUNCT
ijassa-1006	380	392	0.927	0.927	NUM
ijassa-1006	380	393	(	(	PUNCT
ijassa-1006	380	394	2.8e-03	2.8e-03	NUM
ijassa-1006	380	395	)	)	PUNCT
ijassa-1006	380	396	15.735	15.735	NUM
ijassa-1006	380	397	(	(	PUNCT
ijassa-1006	380	398	1.1e+00	1.1e+00	NUM
ijassa-1006	380	399	)	)	PUNCT
ijassa-1006	380	400	17.512	17.512	NUM
ijassa-1006	380	401	(	(	PUNCT
ijassa-1006	380	402	3.7e+01	3.7e+01	NUM
ijassa-1006	380	403	)	)	PUNCT
ijassa-1006	380	404	17.23	17.23	NUM
ijassa-1006	380	405	(	(	PUNCT
ijassa-1006	380	406	1.3e+02	1.3e+02	NUM
ijassa-1006	380	407	)	)	PUNCT
ijassa-1006	380	408	4.98	4.98	NUM
ijassa-1006	380	409	(	(	PUNCT
ijassa-1006	380	410	2.1e+00	2.1e+00	NUM
ijassa-1006	380	411	)	)	PUNCT
ijassa-1006	381	1	+	+	CCONJ
ijassa-1006	381	2	12.887	12.887	NUM
ijassa-1006	381	3	(	(	PUNCT
ijassa-1006	381	4	3.2e+00	3.2e+00	NUM
ijassa-1006	381	5	)	)	PUNCT
ijassa-1006	381	6	9.216	9.216	NUM
ijassa-1006	381	7	(	(	PUNCT
ijassa-1006	381	8	6.2e+00	6.2e+00	NOUN
ijassa-1006	381	9	)	)	PUNCT
ijassa-1006	381	10	dtlz7(5,120	dtlz7(5,120	NOUN
ijassa-1006	381	11	)	)	PUNCT
ijassa-1006	381	12	nsga	nsga	NOUN
ijassa-1006	381	13	-	-	PUNCT
ijassa-1006	381	14	ii	ii	PROPN
ijassa-1006	381	15	mopso	mopso	PROPN
ijassa-1006	381	16	nsde	nsde	PROPN
ijassa-1006	381	17	moea	moea	NOUN
ijassa-1006	381	18	/	/	SYM
ijassa-1006	381	19	d	d	ADJ
ijassa-1006	381	20	-	-	PUNCT
ijassa-1006	381	21	de	de	X
ijassa-1006	381	22	mode	mode	NOUN
ijassa-1006	381	23	-	-	PUNCT
ijassa-1006	381	24	rmo	rmo	PROPN
ijassa-1006	381	25	mode	mode	PROPN
ijassa-1006	381	26	-	-	PUNCT
ijassa-1006	381	27	obl	obl	PROPN
ijassa-1006	381	28	1.498	1.498	NUM
ijassa-1006	381	29	(	(	PUNCT
ijassa-1006	381	30	1.7e-03	1.7e-03	NUM
ijassa-1006	381	31	)	)	PUNCT
ijassa-1006	381	32	1.463	1.463	NUM
ijassa-1006	381	33	(	(	PUNCT
ijassa-1006	381	34	4.3e-01	4.3e-01	NOUN
ijassa-1006	381	35	)	)	PUNCT
ijassa-1006	381	36	12.02	12.02	NUM
ijassa-1006	381	37	(	(	PUNCT
ijassa-1006	381	38	2.7e+01	2.7e+01	NUM
ijassa-1006	381	39	)	)	PUNCT
ijassa-1006	381	40	1.320	1.320	NUM
ijassa-1006	381	41	(	(	PUNCT
ijassa-1006	381	42	2.3e-02	2.3e-02	NUM
ijassa-1006	381	43	)	)	PUNCT
ijassa-1006	381	44	1.946	1.946	NUM
ijassa-1006	381	45	(	(	PUNCT
ijassa-1006	381	46	4.3e-01	4.3e-01	NOUN
ijassa-1006	381	47	)	)	PUNCT
ijassa-1006	381	48	1.053	1.053	NUM
ijassa-1006	381	49	(	(	PUNCT
ijassa-1006	381	50	4.0e-03	4.0e-03	PROPN
ijassa-1006	381	51	)	)	PUNCT
ijassa-1006	381	52	2.565	2.565	NUM
ijassa-1006	381	53	(	(	PUNCT
ijassa-1006	381	54	4.6e-01	4.6e-01	NUM
ijassa-1006	381	55	)	)	PUNCT
ijassa-1006	381	56	7.127	7.127	NUM
ijassa-1006	381	57	(	(	PUNCT
ijassa-1006	381	58	3.8e+02	3.8e+02	NUM
ijassa-1006	381	59	)	)	PUNCT
ijassa-1006	381	60	7.982	7.982	NUM
ijassa-1006	381	61	(	(	PUNCT
ijassa-1006	381	62	2.2e-03	2.2e-03	NUM
ijassa-1006	381	63	)	)	PUNCT
ijassa-1006	381	64	3.287	3.287	NUM
ijassa-1006	381	65	(	(	PUNCT
ijassa-1006	381	66	6.8e-00	6.8e-00	NUM
ijassa-1006	381	67	)	)	PUNCT
ijassa-1006	381	68	3.889	3.889	NUM
ijassa-1006	381	69	(	(	PUNCT
ijassa-1006	381	70	1.4e+01	1.4e+01	NUM
ijassa-1006	381	71	)	)	PUNCT
ijassa-1006	381	72	1.996	1.996	NUM
ijassa-1006	381	73	(	(	PUNCT
ijassa-1006	381	74	5.2e-01	5.2e-01	NUM
ijassa-1006	381	75	)	)	PUNCT
ijassa-1006	381	76	6	6	NUM
ijassa-1006	381	77	.	.	PUNCT
ijassa-1006	381	78	application	application	NOUN
ijassa-1006	381	79	on	on	ADP
ijassa-1006	381	80	portfolio	portfolio	NOUN
ijassa-1006	381	81	optimization	optimization	NOUN
ijassa-1006	381	82	problem	problem	NOUN
ijassa-1006	381	83	computational	computational	ADJ
ijassa-1006	381	84	finance	finance	NOUN
ijassa-1006	381	85	is	be	AUX
ijassa-1006	381	86	an	an	DET
ijassa-1006	381	87	emerging	emerge	VERB
ijassa-1006	381	88	application	application	NOUN
ijassa-1006	381	89	field	field	NOUN
ijassa-1006	381	90	of	of	ADP
ijassa-1006	381	91	metaheuristic	metaheuristic	ADJ
ijassa-1006	381	92	algorithms	algorithm	NOUN
ijassa-1006	381	93	.	.	PUNCT
ijassa-1006	382	1	these	these	DET
ijassa-1006	382	2	optimization	optimization	NOUN
ijassa-1006	382	3	methods	method	NOUN
ijassa-1006	382	4	are	be	AUX
ijassa-1006	382	5	becoming	become	VERB
ijassa-1006	382	6	the	the	DET
ijassa-1006	382	7	solving	solve	VERB
ijassa-1006	382	8	approach	approach	NOUN
ijassa-1006	382	9	alternative	alternative	NOUN
ijassa-1006	382	10	when	when	SCONJ
ijassa-1006	382	11	dealing	deal	VERB
ijassa-1006	382	12	with	with	ADP
ijassa-1006	382	13	realistic	realistic	ADJ
ijassa-1006	382	14	versions	version	NOUN
ijassa-1006	382	15	of	of	ADP
ijassa-1006	382	16	several	several	ADJ
ijassa-1006	382	17	decision	decision	NOUN
ijassa-1006	382	18	-	-	PUNCT
ijassa-1006	382	19	making	make	VERB
ijassa-1006	382	20	problems	problem	NOUN
ijassa-1006	382	21	in	in	ADP
ijassa-1006	382	22	finance	finance	NOUN
ijassa-1006	382	23	.	.	PUNCT
ijassa-1006	383	1	the	the	DET
ijassa-1006	383	2	portfolio	portfolio	NOUN
ijassa-1006	383	3	selection	selection	NOUN
ijassa-1006	383	4	problem	problem	NOUN
ijassa-1006	383	5	can	can	AUX
ijassa-1006	383	6	be	be	AUX
ijassa-1006	383	7	defined	define	VERB
ijassa-1006	383	8	as	as	ADP
ijassa-1006	383	9	the	the	DET
ijassa-1006	383	10	optimal	optimal	ADJ
ijassa-1006	383	11	allocation	allocation	NOUN
ijassa-1006	383	12	of	of	ADP
ijassa-1006	383	13	wealth	wealth	NOUN
ijassa-1006	383	14	among	among	ADP
ijassa-1006	383	15	a	a	DET
ijassa-1006	383	16	finite	finite	ADJ
ijassa-1006	383	17	number	number	NOUN
ijassa-1006	383	18	of	of	ADP
ijassa-1006	383	19	assets	asset	NOUN
ijassa-1006	383	20	that	that	PRON
ijassa-1006	383	21	follows	follow	VERB
ijassa-1006	383	22	careful	careful	ADJ
ijassa-1006	383	23	processing	processing	NOUN
ijassa-1006	383	24	of	of	ADP
ijassa-1006	383	25	all	all	DET
ijassa-1006	383	26	available	available	ADJ
ijassa-1006	383	27	information	information	NOUN
ijassa-1006	383	28	about	about	ADP
ijassa-1006	383	29	a	a	DET
ijassa-1006	383	30	novel	novel	ADJ
ijassa-1006	383	31	two	two	NUM
ijassa-1006	383	32	-	-	PUNCT
ijassa-1006	383	33	stage	stage	NOUN
ijassa-1006	383	34	hybrid	hybrid	ADJ
ijassa-1006	383	35	multi	multi	ADJ
ijassa-1006	383	36	-	-	ADJ
ijassa-1006	383	37	objective	objective	ADJ
ijassa-1006	383	38	differential	differential	ADJ
ijassa-1006	383	39	evolution	evolution	NOUN
ijassa-1006	383	40	…	…	PUNCT
ijassa-1006	383	41	171	171	NUM
ijassa-1006	383	42	copyright	copyright	NOUN
ijassa-1006	383	43	©	©	PROPN
ijassa-1006	383	44	2023	2023	NUM
ijassa-1006	383	45	assa	assa	NOUN
ijassa-1006	383	46	.	.	PUNCT
ijassa-1006	384	1	adv	adv	PROPN
ijassa-1006	384	2	.	.	PUNCT
ijassa-1006	385	1	in	in	ADP
ijassa-1006	385	2	systems	system	NOUN
ijassa-1006	385	3	science	science	NOUN
ijassa-1006	385	4	and	and	CCONJ
ijassa-1006	385	5	appl	appl	NOUN
ijassa-1006	385	6	.	.	PUNCT
ijassa-1006	386	1	(	(	PUNCT
ijassa-1006	386	2	2023	2023	NUM
ijassa-1006	386	3	)	)	PUNCT
ijassa-1006	386	4	both	both	DET
ijassa-1006	386	5	investors	investor	NOUN
ijassa-1006	386	6	and	and	CCONJ
ijassa-1006	386	7	markets	market	NOUN
ijassa-1006	386	8	.	.	PUNCT
ijassa-1006	387	1	markowitz	markowitz	PROPN
ijassa-1006	387	2	’s	’s	PART
ijassa-1006	387	3	mean	mean	ADJ
ijassa-1006	387	4	-	-	PUNCT
ijassa-1006	387	5	variance	variance	NOUN
ijassa-1006	387	6	model	model	NOUN
ijassa-1006	387	7	is	be	AUX
ijassa-1006	387	8	by	by	ADP
ijassa-1006	387	9	far	far	ADV
ijassa-1006	387	10	the	the	DET
ijassa-1006	387	11	most	most	ADV
ijassa-1006	387	12	popular	popular	ADJ
ijassa-1006	387	13	procedure	procedure	NOUN
ijassa-1006	387	14	in	in	ADP
ijassa-1006	387	15	asset	asset	NOUN
ijassa-1006	387	16	allocation	allocation	NOUN
ijassa-1006	387	17	[	[	X
ijassa-1006	387	18	60	60	NUM
ijassa-1006	387	19	]	]	PUNCT
ijassa-1006	387	20	.	.	PUNCT
ijassa-1006	388	1	there	there	PRON
ijassa-1006	388	2	are	be	VERB
ijassa-1006	388	3	a	a	DET
ijassa-1006	388	4	few	few	ADJ
ijassa-1006	388	5	key	key	ADJ
ijassa-1006	388	6	concepts	concept	NOUN
ijassa-1006	388	7	in	in	ADP
ijassa-1006	388	8	portfolio	portfolio	NOUN
ijassa-1006	388	9	optimization	optimization	NOUN
ijassa-1006	388	10	.	.	PUNCT
ijassa-1006	389	1	first	first	ADV
ijassa-1006	389	2	,	,	PUNCT
ijassa-1006	389	3	reward	reward	NOUN
ijassa-1006	389	4	and	and	CCONJ
ijassa-1006	389	5	risk	risk	NOUN
ijassa-1006	389	6	are	be	AUX
ijassa-1006	389	7	measured	measure	VERB
ijassa-1006	389	8	by	by	ADP
ijassa-1006	389	9	expected	expect	VERB
ijassa-1006	389	10	return	return	NOUN
ijassa-1006	389	11	and	and	CCONJ
ijassa-1006	389	12	variance	variance	NOUN
ijassa-1006	389	13	of	of	ADP
ijassa-1006	389	14	a	a	DET
ijassa-1006	389	15	portfolio	portfolio	NOUN
ijassa-1006	389	16	.	.	PUNCT
ijassa-1006	390	1	expected	expect	VERB
ijassa-1006	390	2	return	return	NOUN
ijassa-1006	390	3	is	be	AUX
ijassa-1006	390	4	calculated	calculate	VERB
ijassa-1006	390	5	based	base	VERB
ijassa-1006	390	6	on	on	ADP
ijassa-1006	390	7	historical	historical	ADJ
ijassa-1006	390	8	performance	performance	NOUN
ijassa-1006	390	9	of	of	ADP
ijassa-1006	390	10	an	an	DET
ijassa-1006	390	11	asset	asset	NOUN
ijassa-1006	390	12	,	,	PUNCT
ijassa-1006	390	13	and	and	CCONJ
ijassa-1006	390	14	variance	variance	NOUN
ijassa-1006	390	15	is	be	AUX
ijassa-1006	390	16	a	a	DET
ijassa-1006	390	17	measure	measure	NOUN
ijassa-1006	390	18	of	of	ADP
ijassa-1006	390	19	the	the	DET
ijassa-1006	390	20	dispersion	dispersion	NOUN
ijassa-1006	390	21	of	of	ADP
ijassa-1006	390	22	returns	return	NOUN
ijassa-1006	390	23	.	.	PUNCT
ijassa-1006	391	1	second	second	ADJ
ijassa-1006	391	2	,	,	PUNCT
ijassa-1006	391	3	investors	investor	NOUN
ijassa-1006	391	4	are	be	AUX
ijassa-1006	391	5	exposed	expose	VERB
ijassa-1006	391	6	to	to	ADP
ijassa-1006	391	7	two	two	NUM
ijassa-1006	391	8	types	type	NOUN
ijassa-1006	391	9	of	of	ADP
ijassa-1006	391	10	risk	risk	NOUN
ijassa-1006	391	11	:	:	PUNCT
ijassa-1006	391	12	unsystematic	unsystematic	ADJ
ijassa-1006	391	13	risk	risk	NOUN
ijassa-1006	391	14	and	and	CCONJ
ijassa-1006	391	15	systematic	systematic	ADJ
ijassa-1006	391	16	risk	risk	NOUN
ijassa-1006	391	17	.	.	PUNCT
ijassa-1006	392	1	unsystematic	unsystematic	ADJ
ijassa-1006	392	2	risk	risk	NOUN
ijassa-1006	392	3	is	be	AUX
ijassa-1006	392	4	an	an	DET
ijassa-1006	392	5	asset	asset	NOUN
ijassa-1006	392	6	’s	’s	PART
ijassa-1006	392	7	intrinsic	intrinsic	ADJ
ijassa-1006	392	8	risk	risk	NOUN
ijassa-1006	392	9	which	which	PRON
ijassa-1006	392	10	can	can	AUX
ijassa-1006	392	11	be	be	AUX
ijassa-1006	392	12	diversified	diversify	VERB
ijassa-1006	392	13	away	away	ADV
ijassa-1006	392	14	by	by	ADP
ijassa-1006	392	15	owning	own	VERB
ijassa-1006	392	16	a	a	DET
ijassa-1006	392	17	large	large	ADJ
ijassa-1006	392	18	number	number	NOUN
ijassa-1006	392	19	of	of	ADP
ijassa-1006	392	20	assets	asset	NOUN
ijassa-1006	392	21	.	.	PUNCT
ijassa-1006	393	1	these	these	DET
ijassa-1006	393	2	risks	risk	NOUN
ijassa-1006	393	3	do	do	AUX
ijassa-1006	393	4	not	not	PART
ijassa-1006	393	5	present	present	VERB
ijassa-1006	393	6	enough	enough	ADJ
ijassa-1006	393	7	information	information	NOUN
ijassa-1006	393	8	about	about	ADP
ijassa-1006	393	9	the	the	DET
ijassa-1006	393	10	overall	overall	ADJ
ijassa-1006	393	11	risk	risk	NOUN
ijassa-1006	393	12	of	of	ADP
ijassa-1006	393	13	the	the	DET
ijassa-1006	393	14	entire	entire	ADJ
ijassa-1006	393	15	portfolio	portfolio	NOUN
ijassa-1006	393	16	.	.	PUNCT
ijassa-1006	394	1	systematic	systematic	ADJ
ijassa-1006	394	2	risk	risk	NOUN
ijassa-1006	394	3	,	,	PUNCT
ijassa-1006	394	4	or	or	CCONJ
ijassa-1006	394	5	the	the	DET
ijassa-1006	394	6	portfolio	portfolio	NOUN
ijassa-1006	394	7	risk	risk	NOUN
ijassa-1006	394	8	,	,	PUNCT
ijassa-1006	394	9	is	be	AUX
ijassa-1006	394	10	the	the	DET
ijassa-1006	394	11	risk	risk	NOUN
ijassa-1006	394	12	generally	generally	ADV
ijassa-1006	394	13	associated	associate	VERB
ijassa-1006	394	14	with	with	ADP
ijassa-1006	394	15	the	the	DET
ijassa-1006	394	16	market	market	NOUN
ijassa-1006	394	17	which	which	PRON
ijassa-1006	394	18	can	can	AUX
ijassa-1006	394	19	not	not	PART
ijassa-1006	394	20	be	be	AUX
ijassa-1006	394	21	eliminated	eliminate	VERB
ijassa-1006	394	22	.	.	PUNCT
ijassa-1006	395	1	third	third	ADJ
ijassa-1006	395	2	,	,	PUNCT
ijassa-1006	395	3	the	the	DET
ijassa-1006	395	4	covariance	covariance	NOUN
ijassa-1006	395	5	between	between	ADP
ijassa-1006	395	6	different	different	ADJ
ijassa-1006	395	7	asset	asset	NOUN
ijassa-1006	395	8	returns	return	NOUN
ijassa-1006	395	9	gives	give	VERB
ijassa-1006	395	10	the	the	DET
ijassa-1006	395	11	variability	variability	NOUN
ijassa-1006	395	12	or	or	CCONJ
ijassa-1006	395	13	risk	risk	NOUN
ijassa-1006	395	14	of	of	ADP
ijassa-1006	395	15	a	a	DET
ijassa-1006	395	16	portfolio	portfolio	NOUN
ijassa-1006	395	17	.	.	PUNCT
ijassa-1006	396	1	therefore	therefore	ADV
ijassa-1006	396	2	,	,	PUNCT
ijassa-1006	396	3	a	a	DET
ijassa-1006	396	4	well	well	ADV
ijassa-1006	396	5	-	-	PUNCT
ijassa-1006	396	6	diversified	diversify	VERB
ijassa-1006	396	7	portfolio	portfolio	NOUN
ijassa-1006	396	8	contains	contain	VERB
ijassa-1006	396	9	assets	asset	NOUN
ijassa-1006	396	10	that	that	PRON
ijassa-1006	396	11	have	have	VERB
ijassa-1006	396	12	little	little	ADJ
ijassa-1006	396	13	or	or	CCONJ
ijassa-1006	396	14	negative	negative	ADJ
ijassa-1006	396	15	correlations	correlation	NOUN
ijassa-1006	396	16	[	[	X
ijassa-1006	396	17	61	61	NUM
ijassa-1006	396	18	]	]	PUNCT
ijassa-1006	396	19	.	.	PUNCT
ijassa-1006	397	1	eas	ea	NOUN
ijassa-1006	397	2	work	work	VERB
ijassa-1006	397	3	with	with	ADP
ijassa-1006	397	4	a	a	DET
ijassa-1006	397	5	set	set	NOUN
ijassa-1006	397	6	of	of	ADP
ijassa-1006	397	7	solutions	solution	NOUN
ijassa-1006	397	8	,	,	PUNCT
ijassa-1006	397	9	called	call	VERB
ijassa-1006	397	10	population	population	NOUN
ijassa-1006	397	11	.	.	PUNCT
ijassa-1006	398	1	this	this	DET
ijassa-1006	398	2	feature	feature	NOUN
ijassa-1006	398	3	is	be	AUX
ijassa-1006	398	4	particularly	particularly	ADV
ijassa-1006	398	5	suitable	suitable	ADJ
ijassa-1006	398	6	for	for	ADP
ijassa-1006	398	7	solving	solve	VERB
ijassa-1006	398	8	multi	multi	ADJ
ijassa-1006	398	9	-	-	ADJ
ijassa-1006	398	10	objective	objective	ADJ
ijassa-1006	398	11	problems	problem	NOUN
ijassa-1006	398	12	,	,	PUNCT
ijassa-1006	398	13	as	as	SCONJ
ijassa-1006	398	14	it	it	PRON
ijassa-1006	398	15	enables	enable	VERB
ijassa-1006	398	16	approximating	approximate	VERB
ijassa-1006	398	17	the	the	DET
ijassa-1006	398	18	efficient	efficient	ADJ
ijassa-1006	398	19	frontier	frontier	NOUN
ijassa-1006	398	20	in	in	ADP
ijassa-1006	398	21	a	a	DET
ijassa-1006	398	22	single	single	ADJ
ijassa-1006	398	23	run	run	NOUN
ijassa-1006	398	24	.	.	PUNCT
ijassa-1006	399	1	as	as	ADP
ijassa-1006	399	2	a	a	DET
ijassa-1006	399	3	result	result	NOUN
ijassa-1006	399	4	,	,	PUNCT
ijassa-1006	399	5	multi	multi	ADJ
ijassa-1006	399	6	-	-	ADJ
ijassa-1006	399	7	objective	objective	ADJ
ijassa-1006	399	8	evolutionary	evolutionary	ADJ
ijassa-1006	399	9	algorithms	algorithm	NOUN
ijassa-1006	399	10	(	(	PUNCT
ijassa-1006	399	11	moeas	moea	NOUN
ijassa-1006	399	12	)	)	PUNCT
ijassa-1006	399	13	have	have	AUX
ijassa-1006	399	14	received	receive	VERB
ijassa-1006	399	15	growing	grow	VERB
ijassa-1006	399	16	attention	attention	NOUN
ijassa-1006	399	17	to	to	ADP
ijassa-1006	399	18	financial	financial	ADJ
ijassa-1006	399	19	applications	application	NOUN
ijassa-1006	399	20	[	[	X
ijassa-1006	399	21	62	62	NUM
ijassa-1006	399	22	]	]	PUNCT
ijassa-1006	399	23	.	.	PUNCT
ijassa-1006	400	1	in	in	ADP
ijassa-1006	400	2	fact	fact	NOUN
ijassa-1006	400	3	,	,	PUNCT
ijassa-1006	400	4	portfolio	portfolio	NOUN
ijassa-1006	400	5	optimization	optimization	NOUN
ijassa-1006	400	6	was	be	AUX
ijassa-1006	400	7	one	one	NUM
ijassa-1006	400	8	of	of	ADP
ijassa-1006	400	9	the	the	DET
ijassa-1006	400	10	first	first	ADJ
ijassa-1006	400	11	successful	successful	ADJ
ijassa-1006	400	12	applications	application	NOUN
ijassa-1006	400	13	of	of	ADP
ijassa-1006	400	14	moeas	moea	NOUN
ijassa-1006	400	15	in	in	ADP
ijassa-1006	400	16	economics	economic	NOUN
ijassa-1006	400	17	and	and	CCONJ
ijassa-1006	400	18	finance	finance	NOUN
ijassa-1006	400	19	.	.	PUNCT
ijassa-1006	401	1	increasing	increase	VERB
ijassa-1006	401	2	complexity	complexity	NOUN
ijassa-1006	401	3	of	of	ADP
ijassa-1006	401	4	practical	practical	ADJ
ijassa-1006	401	5	applications	application	NOUN
ijassa-1006	401	6	has	have	AUX
ijassa-1006	401	7	led	lead	VERB
ijassa-1006	401	8	researchers	researcher	NOUN
ijassa-1006	401	9	to	to	PART
ijassa-1006	401	10	develop	develop	VERB
ijassa-1006	401	11	heuristic	heuristic	ADJ
ijassa-1006	401	12	procedures	procedure	NOUN
ijassa-1006	401	13	for	for	ADP
ijassa-1006	401	14	solving	solve	VERB
ijassa-1006	401	15	their	their	PRON
ijassa-1006	401	16	portfolio	portfolio	NOUN
ijassa-1006	401	17	optimization	optimization	NOUN
ijassa-1006	401	18	problems	problem	NOUN
ijassa-1006	401	19	.	.	PUNCT
ijassa-1006	402	1	these	these	DET
ijassa-1006	402	2	techniques	technique	NOUN
ijassa-1006	402	3	require	require	VERB
ijassa-1006	402	4	less	less	ADJ
ijassa-1006	402	5	domain	domain	NOUN
ijassa-1006	402	6	information	information	NOUN
ijassa-1006	402	7	to	to	PART
ijassa-1006	402	8	be	be	AUX
ijassa-1006	402	9	considered	consider	VERB
ijassa-1006	402	10	than	than	SCONJ
ijassa-1006	402	11	the	the	DET
ijassa-1006	402	12	standard	standard	ADJ
ijassa-1006	402	13	gradient	gradient	NOUN
ijassa-1006	402	14	-	-	PUNCT
ijassa-1006	402	15	based	base	VERB
ijassa-1006	402	16	mathematical	mathematical	ADJ
ijassa-1006	402	17	programming	programming	NOUN
ijassa-1006	402	18	methods	method	NOUN
ijassa-1006	402	19	do	do	VERB
ijassa-1006	402	20	.	.	PUNCT
ijassa-1006	403	1	moreover	moreover	ADV
ijassa-1006	403	2	,	,	PUNCT
ijassa-1006	403	3	they	they	PRON
ijassa-1006	403	4	guarantee	guarantee	VERB
ijassa-1006	403	5	satisfactory	satisfactory	ADJ
ijassa-1006	403	6	approximations	approximation	NOUN
ijassa-1006	403	7	to	to	ADP
ijassa-1006	403	8	solutions	solution	NOUN
ijassa-1006	403	9	in	in	ADP
ijassa-1006	403	10	a	a	DET
ijassa-1006	403	11	fair	fair	ADJ
ijassa-1006	403	12	computational	computational	ADJ
ijassa-1006	403	13	time	time	NOUN
ijassa-1006	403	14	even	even	ADV
ijassa-1006	403	15	when	when	SCONJ
ijassa-1006	403	16	they	they	PRON
ijassa-1006	403	17	deal	deal	VERB
ijassa-1006	403	18	with	with	ADP
ijassa-1006	403	19	non	non	ADJ
ijassa-1006	403	20	-	-	ADJ
ijassa-1006	403	21	convexity	convexity	ADJ
ijassa-1006	403	22	,	,	PUNCT
ijassa-1006	403	23	discontinuity	discontinuity	NOUN
ijassa-1006	403	24	,	,	PUNCT
ijassa-1006	403	25	and	and	CCONJ
ijassa-1006	403	26	integer	integer	NOUN
ijassa-1006	403	27	decision	decision	NOUN
ijassa-1006	403	28	variables	variable	NOUN
ijassa-1006	403	29	.	.	PUNCT
ijassa-1006	404	1	the	the	DET
ijassa-1006	404	2	approaches	approach	NOUN
ijassa-1006	404	3	that	that	PRON
ijassa-1006	404	4	have	have	AUX
ijassa-1006	404	5	been	be	AUX
ijassa-1006	404	6	proposed	propose	VERB
ijassa-1006	404	7	in	in	ADP
ijassa-1006	404	8	the	the	DET
ijassa-1006	404	9	soft	soft	ADJ
ijassa-1006	404	10	-	-	PUNCT
ijassa-1006	404	11	computing	compute	VERB
ijassa-1006	404	12	literature	literature	NOUN
ijassa-1006	404	13	can	can	AUX
ijassa-1006	404	14	be	be	AUX
ijassa-1006	404	15	categorized	categorize	VERB
ijassa-1006	404	16	into	into	ADP
ijassa-1006	404	17	the	the	DET
ijassa-1006	404	18	following	follow	VERB
ijassa-1006	404	19	two	two	NUM
ijassa-1006	404	20	groups	group	NOUN
ijassa-1006	404	21	.	.	PUNCT
ijassa-1006	405	1	on	on	ADP
ijassa-1006	405	2	one	one	NUM
ijassa-1006	405	3	hand	hand	NOUN
ijassa-1006	405	4	,	,	PUNCT
ijassa-1006	405	5	single	single	ADJ
ijassa-1006	405	6	objective	objective	ADJ
ijassa-1006	405	7	methods	method	NOUN
ijassa-1006	405	8	optimize	optimize	VERB
ijassa-1006	405	9	a	a	DET
ijassa-1006	405	10	weighted	weighted	ADJ
ijassa-1006	405	11	sum	sum	NOUN
ijassa-1006	405	12	of	of	ADP
ijassa-1006	405	13	the	the	DET
ijassa-1006	405	14	portfolio	portfolio	NOUN
ijassa-1006	405	15	objectives	objective	NOUN
ijassa-1006	405	16	.	.	PUNCT
ijassa-1006	406	1	on	on	ADP
ijassa-1006	406	2	the	the	DET
ijassa-1006	406	3	other	other	ADJ
ijassa-1006	406	4	hand	hand	NOUN
ijassa-1006	406	5	,	,	PUNCT
ijassa-1006	406	6	multiobjective	multiobjective	ADJ
ijassa-1006	406	7	evolutionary	evolutionary	ADJ
ijassa-1006	406	8	algorithms	algorithm	NOUN
ijassa-1006	406	9	(	(	PUNCT
ijassa-1006	406	10	moeas	moea	NOUN
ijassa-1006	406	11	)	)	PUNCT
ijassa-1006	406	12	attempt	attempt	NOUN
ijassa-1006	406	13	to	to	PART
ijassa-1006	406	14	tackle	tackle	VERB
ijassa-1006	406	15	the	the	DET
ijassa-1006	406	16	allocation	allocation	NOUN
ijassa-1006	406	17	problem	problem	NOUN
ijassa-1006	406	18	directly	directly	ADV
ijassa-1006	406	19	in	in	ADP
ijassa-1006	406	20	its	its	PRON
ijassa-1006	406	21	multi	multi	ADJ
ijassa-1006	406	22	-	-	ADJ
ijassa-1006	406	23	objective	objective	ADJ
ijassa-1006	406	24	form	form	NOUN
ijassa-1006	406	25	by	by	ADP
ijassa-1006	406	26	simultaneously	simultaneously	ADV
ijassa-1006	406	27	optimizing	optimize	VERB
ijassa-1006	406	28	risk	risk	NOUN
ijassa-1006	406	29	and	and	CCONJ
ijassa-1006	406	30	reward	reward	NOUN
ijassa-1006	406	31	.	.	PUNCT
ijassa-1006	407	1	in	in	ADP
ijassa-1006	407	2	the	the	DET
ijassa-1006	407	3	first	first	ADJ
ijassa-1006	407	4	case	case	NOUN
ijassa-1006	407	5	,	,	PUNCT
ijassa-1006	407	6	the	the	DET
ijassa-1006	407	7	complete	complete	ADJ
ijassa-1006	407	8	set	set	NOUN
ijassa-1006	407	9	of	of	ADP
ijassa-1006	407	10	risk	risk	NOUN
ijassa-1006	407	11	-	-	PUNCT
ijassa-1006	407	12	return	return	NOUN
ijassa-1006	407	13	profiles	profile	NOUN
ijassa-1006	407	14	is	be	AUX
ijassa-1006	407	15	obtained	obtain	VERB
ijassa-1006	407	16	by	by	ADP
ijassa-1006	407	17	varying	vary	VERB
ijassa-1006	407	18	a	a	DET
ijassa-1006	407	19	parameter	parameter	NOUN
ijassa-1006	407	20	that	that	PRON
ijassa-1006	407	21	represents	represent	VERB
ijassa-1006	407	22	the	the	DET
ijassa-1006	407	23	risk	risk	NOUN
ijassa-1006	407	24	aversion	aversion	NOUN
ijassa-1006	407	25	of	of	ADP
ijassa-1006	407	26	the	the	DET
ijassa-1006	407	27	investor	investor	NOUN
ijassa-1006	407	28	[	[	X
ijassa-1006	407	29	63	63	NUM
ijassa-1006	407	30	]	]	PUNCT
ijassa-1006	408	1	[	[	X
ijassa-1006	408	2	64	64	NUM
ijassa-1006	408	3	]	]	PUNCT
ijassa-1006	408	4	.	.	PUNCT
ijassa-1006	409	1	in	in	ADP
ijassa-1006	409	2	the	the	DET
ijassa-1006	409	3	second	second	ADJ
ijassa-1006	409	4	case	case	NOUN
ijassa-1006	409	5	,	,	PUNCT
ijassa-1006	409	6	the	the	DET
ijassa-1006	409	7	complete	complete	ADJ
ijassa-1006	409	8	efficient	efficient	ADJ
ijassa-1006	409	9	frontier	frontier	NOUN
ijassa-1006	409	10	is	be	AUX
ijassa-1006	409	11	represented	represent	VERB
ijassa-1006	409	12	in	in	ADP
ijassa-1006	409	13	a	a	DET
ijassa-1006	409	14	single	single	ADJ
ijassa-1006	409	15	run	run	NOUN
ijassa-1006	409	16	[	[	X
ijassa-1006	409	17	65	65	NUM
ijassa-1006	409	18	]	]	X
ijassa-1006	410	1	[	[	X
ijassa-1006	410	2	66	66	NUM
ijassa-1006	410	3	]	]	PUNCT
ijassa-1006	410	4	.	.	PUNCT
ijassa-1006	411	1	both	both	DET
ijassa-1006	411	2	categories	category	NOUN
ijassa-1006	411	3	pay	pay	VERB
ijassa-1006	411	4	great	great	ADJ
ijassa-1006	411	5	attention	attention	NOUN
ijassa-1006	411	6	to	to	ADP
ijassa-1006	411	7	encoding	encode	VERB
ijassa-1006	411	8	types	type	NOUN
ijassa-1006	411	9	and	and	CCONJ
ijassa-1006	411	10	constraint	constraint	NOUN
ijassa-1006	411	11	–	–	PUNCT
ijassa-1006	411	12	handling	handling	NOUN
ijassa-1006	411	13	techniques	technique	NOUN
ijassa-1006	411	14	[	[	X
ijassa-1006	411	15	67	67	NUM
ijassa-1006	411	16	]	]	PUNCT
ijassa-1006	411	17	.	.	PUNCT
ijassa-1006	412	1	while	while	SCONJ
ijassa-1006	412	2	single	single	ADJ
ijassa-1006	412	3	objective	objective	ADJ
ijassa-1006	412	4	optimization	optimization	NOUN
ijassa-1006	412	5	methods	method	NOUN
ijassa-1006	412	6	consider	consider	VERB
ijassa-1006	412	7	either	either	CCONJ
ijassa-1006	412	8	a	a	DET
ijassa-1006	412	9	minimal	minimal	ADJ
ijassa-1006	412	10	risk	risk	NOUN
ijassa-1006	412	11	for	for	ADP
ijassa-1006	412	12	a	a	DET
ijassa-1006	412	13	given	give	VERB
ijassa-1006	412	14	return	return	NOUN
ijassa-1006	412	15	or	or	CCONJ
ijassa-1006	412	16	a	a	DET
ijassa-1006	412	17	maximum	maximum	ADJ
ijassa-1006	412	18	risk	risk	NOUN
ijassa-1006	412	19	for	for	ADP
ijassa-1006	412	20	a	a	DET
ijassa-1006	412	21	given	give	VERB
ijassa-1006	412	22	expected	expect	VERB
ijassa-1006	412	23	return	return	NOUN
ijassa-1006	412	24	or	or	CCONJ
ijassa-1006	412	25	an	an	DET
ijassa-1006	412	26	objective	objective	ADJ
ijassa-1006	412	27	function	function	NOUN
ijassa-1006	412	28	that	that	PRON
ijassa-1006	412	29	weights	weight	VERB
ijassa-1006	412	30	the	the	DET
ijassa-1006	412	31	two	two	NUM
ijassa-1006	412	32	goals	goal	NOUN
ijassa-1006	412	33	and	and	CCONJ
ijassa-1006	412	34	thus	thus	ADV
ijassa-1006	412	35	have	have	VERB
ijassa-1006	412	36	to	to	PART
ijassa-1006	412	37	be	be	AUX
ijassa-1006	412	38	run	run	VERB
ijassa-1006	412	39	several	several	ADJ
ijassa-1006	412	40	times	time	NOUN
ijassa-1006	412	41	with	with	ADP
ijassa-1006	412	42	the	the	DET
ijassa-1006	412	43	respective	respective	ADJ
ijassa-1006	412	44	weights	weight	NOUN
ijassa-1006	412	45	[	[	X
ijassa-1006	412	46	68	68	NUM
ijassa-1006	412	47	]	]	X
ijassa-1006	412	48	,	,	PUNCT
ijassa-1006	412	49	multiobjective	multiobjective	ADJ
ijassa-1006	412	50	optimization	optimization	NOUN
ijassa-1006	412	51	methods	method	NOUN
ijassa-1006	412	52	find	find	VERB
ijassa-1006	412	53	a	a	DET
ijassa-1006	412	54	set	set	NOUN
ijassa-1006	412	55	of	of	ADP
ijassa-1006	412	56	pareto	pareto	ADJ
ijassa-1006	412	57	solutions	solution	NOUN
ijassa-1006	412	58	,	,	PUNCT
ijassa-1006	412	59	while	while	SCONJ
ijassa-1006	412	60	balancing	balance	VERB
ijassa-1006	412	61	two	two	NUM
ijassa-1006	412	62	or	or	CCONJ
ijassa-1006	412	63	more	more	ADJ
ijassa-1006	412	64	objective	objective	ADJ
ijassa-1006	412	65	functions	function	NOUN
ijassa-1006	412	66	simultaneously	simultaneously	ADV
ijassa-1006	412	67	.	.	PUNCT
ijassa-1006	413	1	6.1	6.1	NUM
ijassa-1006	413	2	.	.	PUNCT
ijassa-1006	413	3	problem	problem	NOUN
ijassa-1006	413	4	formulation	formulation	NOUN
ijassa-1006	413	5	the	the	DET
ijassa-1006	413	6	key	key	NOUN
ijassa-1006	413	7	to	to	ADP
ijassa-1006	413	8	achieving	achieve	VERB
ijassa-1006	413	9	investors	investor	NOUN
ijassa-1006	413	10	’	'	PUNCT
ijassa-1006	413	11	objectives	objective	NOUN
ijassa-1006	413	12	is	be	AUX
ijassa-1006	413	13	to	to	PART
ijassa-1006	413	14	provide	provide	VERB
ijassa-1006	413	15	an	an	DET
ijassa-1006	413	16	optimal	optimal	ADJ
ijassa-1006	413	17	portfolio	portfolio	NOUN
ijassa-1006	413	18	strategy	strategy	NOUN
ijassa-1006	413	19	which	which	PRON
ijassa-1006	413	20	shows	show	VERB
ijassa-1006	413	21	investors	investor	NOUN
ijassa-1006	413	22	how	how	SCONJ
ijassa-1006	413	23	much	much	ADJ
ijassa-1006	413	24	to	to	PART
ijassa-1006	413	25	invest	invest	VERB
ijassa-1006	413	26	in	in	ADP
ijassa-1006	413	27	each	each	DET
ijassa-1006	413	28	asset	asset	NOUN
ijassa-1006	413	29	in	in	ADP
ijassa-1006	413	30	a	a	DET
ijassa-1006	413	31	given	give	VERB
ijassa-1006	413	32	portfolio	portfolio	NOUN
ijassa-1006	413	33	.	.	PUNCT
ijassa-1006	414	1	therefore	therefore	ADV
ijassa-1006	414	2	,	,	PUNCT
ijassa-1006	414	3	the	the	DET
ijassa-1006	414	4	decision	decision	NOUN
ijassa-1006	414	5	variable	variable	NOUN
ijassa-1006	414	6	of	of	ADP
ijassa-1006	414	7	portfolio	portfolio	NOUN
ijassa-1006	414	8	optimization	optimization	NOUN
ijassa-1006	414	9	problems	problem	NOUN
ijassa-1006	414	10	is	be	AUX
ijassa-1006	414	11	the	the	DET
ijassa-1006	414	12	asset	asset	NOUN
ijassa-1006	414	13	weight	weight	NOUN
ijassa-1006	414	14	vector	vector	NOUN
ijassa-1006	414	15			PROPN
ijassa-1006	414	16	tnxxxx	tnxxxx	PROPN
ijassa-1006	414	17	,	,	PUNCT
ijassa-1006	414	18	...	...	PUNCT
ijassa-1006	414	19	,	,	PUNCT
ijassa-1006	414	20	21	21	NUM
ijassa-1006	414	21	with	with	ADP
ijassa-1006	414	22	ix	ix	PROPN
ijassa-1006	414	23	as	as	ADP
ijassa-1006	414	24	the	the	DET
ijassa-1006	414	25	weight	weight	NOUN
ijassa-1006	414	26	of	of	ADP
ijassa-1006	414	27	asset	asset	NOUN
ijassa-1006	414	28	i	i	PRON
ijassa-1006	414	29	in	in	ADP
ijassa-1006	414	30	the	the	DET
ijassa-1006	414	31	portfolio	portfolio	NOUN
ijassa-1006	414	32	.	.	PUNCT
ijassa-1006	415	1	the	the	DET
ijassa-1006	415	2	expected	expect	VERB
ijassa-1006	415	3	return	return	NOUN
ijassa-1006	415	4	for	for	ADP
ijassa-1006	415	5	each	each	DET
ijassa-1006	415	6	asset	asset	NOUN
ijassa-1006	415	7	in	in	ADP
ijassa-1006	415	8	the	the	DET
ijassa-1006	415	9	portfolio	portfolio	NOUN
ijassa-1006	415	10	is	be	AUX
ijassa-1006	415	11	expressed	express	VERB
ijassa-1006	415	12	in	in	ADP
ijassa-1006	415	13	the	the	DET
ijassa-1006	415	14	vector	vector	NOUN
ijassa-1006	415	15	form	form	NOUN
ijassa-1006	415	16			PROPN
ijassa-1006	415	17	tnpppp	tnpppp	PROPN
ijassa-1006	415	18	,	,	PUNCT
ijassa-1006	415	19	...	...	PUNCT
ijassa-1006	415	20	,	,	PUNCT
ijassa-1006	415	21	21	21	NUM
ijassa-1006	415	22	with	with	ADP
ijassa-1006	415	23	ip	ip	NOUN
ijassa-1006	415	24	as	as	ADP
ijassa-1006	415	25	the	the	DET
ijassa-1006	415	26	mean	mean	ADJ
ijassa-1006	415	27	return	return	NOUN
ijassa-1006	415	28	of	of	ADP
ijassa-1006	415	29	asset	asset	NOUN
ijassa-1006	415	30	i	i	PRON
ijassa-1006	415	31	.	.	PUNCT
ijassa-1006	416	1	the	the	DET
ijassa-1006	416	2	portfolio	portfolio	NOUN
ijassa-1006	416	3	expected	expect	VERB
ijassa-1006	416	4	return	return	NOUN
ijassa-1006	416	5	is	be	AUX
ijassa-1006	416	6	the	the	DET
ijassa-1006	416	7	weighted	weighted	ADJ
ijassa-1006	416	8	average	average	NOUN
ijassa-1006	416	9	of	of	ADP
ijassa-1006	416	10	individual	individual	ADJ
ijassa-1006	416	11	asset	asset	NOUN
ijassa-1006	416	12	return	return	NOUN
ijassa-1006	416	13	(	(	PUNCT
ijassa-1006	416	14	eq	eq	NOUN
ijassa-1006	416	15	6.2	6.2	NUM
ijassa-1006	416	16	)	)	PUNCT
ijassa-1006	416	17	variance	variance	NOUN
ijassa-1006	416	18	and	and	CCONJ
ijassa-1006	416	19	covariance	covariance	NOUN
ijassa-1006	416	20	of	of	ADP
ijassa-1006	416	21	individual	individual	ADJ
ijassa-1006	416	22	asset	asset	NOUN
ijassa-1006	416	23	are	be	AUX
ijassa-1006	416	24	characterized	characterize	VERB
ijassa-1006	416	25	by	by	ADP
ijassa-1006	416	26	a	a	DET
ijassa-1006	416	27	variancecovariance	variancecovariance	NOUN
ijassa-1006	416	28	matrix	matrix	NOUN
ijassa-1006	416	29			NOUN
ijassa-1006	417	1			PROPN
ijassa-1006	417	2			PROPN
ijassa-1006	417	3			PROPN
ijassa-1006	417	4			X
ijassa-1006	417	5			NOUN
ijassa-1006	417	6			NOUN
ijassa-1006	417	7			NOUN
ijassa-1006	417	8			VERB
ijassa-1006	417	9			PROPN
ijassa-1006	417	10			NUM
ijassa-1006	417	11	nnn	nnn	PROPN
ijassa-1006	417	12	n	n	PROPN
ijassa-1006	417	13	v	v	NUM
ijassa-1006	417	14			NOUN
ijassa-1006	417	15			X
ijassa-1006	417	16			NOUN
ijassa-1006	417	17			NOUN
ijassa-1006	417	18			NOUN
ijassa-1006	417	19	1	1	NUM
ijassa-1006	417	20	111	111	NUM
ijassa-1006	417	21	,	,	PUNCT
ijassa-1006	417	22	where	where	SCONJ
ijassa-1006	417	23	ii	ii	NOUN
ijassa-1006	417	24	,	,	PUNCT
ijassa-1006	417	25			PROPN
ijassa-1006	417	26	is	be	AUX
ijassa-1006	417	27	the	the	DET
ijassa-1006	417	28	variance	variance	NOUN
ijassa-1006	417	29	of	of	ADP
ijassa-1006	417	30	asset	asset	NOUN
ijassa-1006	417	31	i	i	PRON
ijassa-1006	417	32	and	and	CCONJ
ijassa-1006	417	33	ji	ji	PROPN
ijassa-1006	417	34	,	,	PUNCT
ijassa-1006	417	35			PROPN
ijassa-1006	417	36	is	be	AUX
ijassa-1006	417	37	the	the	DET
ijassa-1006	417	38	covariance	covariance	NOUN
ijassa-1006	417	39	between	between	ADP
ijassa-1006	417	40	asset	asset	NOUN
ijassa-1006	417	41	i	i	PROPN
ijassa-1006	417	42	and	and	CCONJ
ijassa-1006	417	43	asset	asset	PROPN
ijassa-1006	417	44	j	j	PROPN
ijassa-1006	417	45	.	.	PUNCT
ijassa-1006	418	1	the	the	DET
ijassa-1006	418	2	portfolio	portfolio	NOUN
ijassa-1006	418	3	variance	variance	NOUN
ijassa-1006	418	4	is	be	AUX
ijassa-1006	418	5	defined	define	VERB
ijassa-1006	418	6	in	in	ADP
ijassa-1006	418	7	eq	eq	NOUN
ijassa-1006	418	8	(	(	PUNCT
ijassa-1006	418	9	6.1	6.1	NUM
ijassa-1006	418	10	)	)	PUNCT
ijassa-1006	418	11	.	.	PUNCT
ijassa-1006	419	1	172	172	NUM
ijassa-1006	419	2	n.	n.	NOUN
ijassa-1006	419	3	boukhari	boukhari	PROPN
ijassa-1006	419	4	,	,	PUNCT
ijassa-1006	419	5	m.	m.	NOUN
ijassa-1006	419	6	a.	a.	NOUN
ijassa-1006	419	7	nemmich	nemmich	PROPN
ijassa-1006	419	8	,	,	PUNCT
ijassa-1006	419	9	f.	f.	PROPN
ijassa-1006	419	10	debbat	debbat	PROPN
ijassa-1006	419	11	,	,	PUNCT
ijassa-1006	419	12	n.	n.	NOUN
ijassa-1006	419	13	monmarché	monmarché	NOUN
ijassa-1006	419	14	,	,	PUNCT
ijassa-1006	419	15	m.	m.	NOUN
ijassa-1006	419	16	slimane	slimane	PROPN
ijassa-1006	419	17	copyright	copyright	NOUN
ijassa-1006	420	1	©	©	PROPN
ijassa-1006	420	2	0000	0000	NUM
ijassa-1006	420	3	assa	assa	PROPN
ijassa-1006	420	4	adv	adv	PROPN
ijassa-1006	420	5	.	.	PUNCT
ijassa-1006	421	1	in	in	ADP
ijassa-1006	421	2	systems	system	NOUN
ijassa-1006	421	3	science	science	NOUN
ijassa-1006	421	4	and	and	CCONJ
ijassa-1006	421	5	appl	appl	NOUN
ijassa-1006	421	6	.	.	PUNCT
ijassa-1006	422	1	(	(	PUNCT
ijassa-1006	422	2	0000	0000	NUM
ijassa-1006	422	3	)	)	PUNCT
ijassa-1006	422	4	the	the	DET
ijassa-1006	422	5	mathematical	mathematical	ADJ
ijassa-1006	422	6	representation	representation	NOUN
ijassa-1006	422	7	of	of	ADP
ijassa-1006	422	8	portfolio	portfolio	NOUN
ijassa-1006	422	9	optimization	optimization	NOUN
ijassa-1006	422	10	was	be	AUX
ijassa-1006	422	11	introduced	introduce	VERB
ijassa-1006	422	12	by	by	ADP
ijassa-1006	422	13	markowitz	markowitz	PROPN
ijassa-1006	422	14	in	in	ADP
ijassa-1006	422	15	the	the	DET
ijassa-1006	422	16	fifties	fifty	NOUN
ijassa-1006	422	17	and	and	CCONJ
ijassa-1006	422	18	he	he	PRON
ijassa-1006	422	19	was	be	AUX
ijassa-1006	422	20	rewarded	reward	VERB
ijassa-1006	422	21	with	with	ADP
ijassa-1006	422	22	a	a	DET
ijassa-1006	422	23	nobel	nobel	PROPN
ijassa-1006	422	24	prize	prize	PROPN
ijassa-1006	422	25	in	in	ADP
ijassa-1006	422	26	economics	economic	NOUN
ijassa-1006	422	27	in	in	ADP
ijassa-1006	422	28	1990	1990	NUM
ijassa-1006	422	29	[	[	X
ijassa-1006	422	30	69	69	NUM
ijassa-1006	422	31	]	]	PUNCT
ijassa-1006	422	32	.	.	PUNCT
ijassa-1006	423	1	the	the	DET
ijassa-1006	423	2	markowitz	markowitz	PROPN
ijassa-1006	423	3	model	model	PROPN
ijassa-1006	423	4	assumes	assume	VERB
ijassa-1006	423	5	the	the	DET
ijassa-1006	423	6	investors	investor	NOUN
ijassa-1006	423	7	would	would	AUX
ijassa-1006	423	8	like	like	VERB
ijassa-1006	423	9	to	to	PART
ijassa-1006	423	10	maximize	maximize	VERB
ijassa-1006	423	11	the	the	DET
ijassa-1006	423	12	return	return	NOUN
ijassa-1006	423	13	under	under	ADP
ijassa-1006	423	14	certain	certain	ADJ
ijassa-1006	423	15	risk	risk	NOUN
ijassa-1006	423	16	level	level	NOUN
ijassa-1006	423	17	or	or	CCONJ
ijassa-1006	423	18	minimize	minimize	VERB
ijassa-1006	423	19	the	the	DET
ijassa-1006	423	20	risk	risk	NOUN
ijassa-1006	423	21	with	with	ADP
ijassa-1006	423	22	certain	certain	ADJ
ijassa-1006	423	23	return	return	NOUN
ijassa-1006	423	24	level	level	NOUN
ijassa-1006	423	25	and	and	CCONJ
ijassa-1006	423	26	this	this	DET
ijassa-1006	423	27	model	model	NOUN
ijassa-1006	423	28	makes	make	VERB
ijassa-1006	423	29	use	use	NOUN
ijassa-1006	423	30	of	of	ADP
ijassa-1006	423	31	the	the	DET
ijassa-1006	423	32	mean	mean	NOUN
ijassa-1006	423	33	and	and	CCONJ
ijassa-1006	423	34	variance	variance	NOUN
ijassa-1006	423	35	of	of	ADP
ijassa-1006	423	36	normalized	normalize	VERB
ijassa-1006	423	37	historical	historical	ADJ
ijassa-1006	423	38	asset	asset	NOUN
ijassa-1006	423	39	price	price	NOUN
ijassa-1006	423	40	to	to	PART
ijassa-1006	423	41	measure	measure	VERB
ijassa-1006	423	42	the	the	DET
ijassa-1006	423	43	expected	expect	VERB
ijassa-1006	423	44	portfolio	portfolio	NOUN
ijassa-1006	423	45	return	return	NOUN
ijassa-1006	423	46	and	and	CCONJ
ijassa-1006	423	47	risk	risk	NOUN
ijassa-1006	423	48	[	[	X
ijassa-1006	423	49	70].the	70].the	DET
ijassa-1006	423	50	model	model	NOUN
ijassa-1006	423	51	can	can	AUX
ijassa-1006	423	52	be	be	AUX
ijassa-1006	423	53	expressed	express	VERB
ijassa-1006	423	54	as	as	ADP
ijassa-1006	423	55	a	a	DET
ijassa-1006	423	56	bi	bi	ADJ
ijassa-1006	423	57	-	-	ADJ
ijassa-1006	423	58	objective	objective	ADJ
ijassa-1006	423	59	problem	problem	NOUN
ijassa-1006	423	60	and	and	CCONJ
ijassa-1006	423	61	formulated	formulate	VERB
ijassa-1006	423	62	as	as	ADP
ijassa-1006	423	63	following	follow	VERB
ijassa-1006	423	64	:	:	PUNCT
ijassa-1006	424	1	𝑀𝑖𝑛	𝑀𝑖𝑛	NOUN
ijassa-1006	424	2	:	:	PUNCT
ijassa-1006	424	3	risk	risk	NOUN
ijassa-1006	424	4	𝜎	𝜎	NOUN
ijassa-1006	424	5	=	=	PUNCT
ijassa-1006	424	6	𝑤	𝑤	PART
ijassa-1006	424	7	𝑤	𝑤	PART
ijassa-1006	424	8	𝜎	𝜎	X
ijassa-1006	424	9	(	(	PUNCT
ijassa-1006	424	10	6.1	6.1	NUM
ijassa-1006	424	11	)	)	PUNCT
ijassa-1006	424	12	𝑀𝑎𝑥	𝑀𝑎𝑥	PROPN
ijassa-1006	424	13	:	:	PUNCT
ijassa-1006	424	14	return	return	VERB
ijassa-1006	424	15	r	r	NOUN
ijassa-1006	424	16	=	=	SYM
ijassa-1006	424	17	𝑤	𝑤	PART
ijassa-1006	424	18	𝑟	𝑟	NOUN
ijassa-1006	424	19	(	(	PUNCT
ijassa-1006	424	20	6.2	6.2	NUM
ijassa-1006	424	21	)	)	PUNCT
ijassa-1006	424	22	subject	subject	NOUN
ijassa-1006	424	23	to	to	ADP
ijassa-1006	424	24	𝑤	𝑤	ADP
ijassa-1006	424	25	=	=	SYM
ijassa-1006	424	26	1	1	NUM
ijassa-1006	424	27	;	;	PUNCT
ijassa-1006	424	28	𝑤	𝑤	PRON
ijassa-1006	424	29	≥	≥	NOUN
ijassa-1006	424	30	0	0	NUM
ijassa-1006	424	31	,	,	PUNCT
ijassa-1006	424	32	(	(	PUNCT
ijassa-1006	424	33	6.3	6.3	NUM
ijassa-1006	424	34	)	)	PUNCT
ijassa-1006	424	35	where	where	SCONJ
ijassa-1006	424	36	𝑛	𝑛	PROPN
ijassa-1006	424	37	is	be	AUX
ijassa-1006	424	38	the	the	DET
ijassa-1006	424	39	number	number	NOUN
ijassa-1006	424	40	of	of	ADP
ijassa-1006	424	41	assets	asset	NOUN
ijassa-1006	424	42	in	in	ADP
ijassa-1006	424	43	the	the	DET
ijassa-1006	424	44	portfolio	portfolio	NOUN
ijassa-1006	424	45	and	and	CCONJ
ijassa-1006	424	46	the	the	DET
ijassa-1006	424	47	dimension	dimension	NOUN
ijassa-1006	424	48	of	of	ADP
ijassa-1006	424	49	the	the	DET
ijassa-1006	424	50	problem	problem	NOUN
ijassa-1006	424	51	,	,	PUNCT
ijassa-1006	424	52	𝑤	𝑤	X
ijassa-1006	424	53	is	be	AUX
ijassa-1006	424	54	the	the	DET
ijassa-1006	424	55	weight	weight	NOUN
ijassa-1006	424	56	of	of	ADP
ijassa-1006	424	57	𝑖	𝑖	DET
ijassa-1006	424	58	asset	asset	NOUN
ijassa-1006	424	59	.	.	PUNCT
ijassa-1006	425	1	𝜎	𝜎	PROPN
ijassa-1006	425	2	stands	stand	VERB
ijassa-1006	425	3	for	for	ADP
ijassa-1006	425	4	the	the	DET
ijassa-1006	425	5	portfolio	portfolio	NOUN
ijassa-1006	425	6	risk	risk	NOUN
ijassa-1006	425	7	and	and	CCONJ
ijassa-1006	425	8	𝜎	𝜎	PROPN
ijassa-1006	425	9	is	be	AUX
ijassa-1006	425	10	the	the	DET
ijassa-1006	425	11	covariance	covariance	NOUN
ijassa-1006	425	12	between	between	ADP
ijassa-1006	425	13	asset	asset	NOUN
ijassa-1006	425	14	𝑖	𝑖	NOUN
ijassa-1006	425	15	and	and	CCONJ
ijassa-1006	425	16	asset	asset	NOUN
ijassa-1006	425	17	𝑗.	𝑗.	NOUN
ijassa-1006	425	18	if	if	SCONJ
ijassa-1006	425	19	𝑖	𝑖	NOUN
ijassa-1006	425	20	=	=	SYM
ijassa-1006	425	21	𝑗	𝑗	PROPN
ijassa-1006	425	22	,	,	PUNCT
ijassa-1006	425	23	𝜎	𝜎	PROPN
ijassa-1006	425	24	is	be	AUX
ijassa-1006	425	25	just	just	ADV
ijassa-1006	425	26	the	the	DET
ijassa-1006	425	27	variance	variance	NOUN
ijassa-1006	425	28	of	of	ADP
ijassa-1006	425	29	that	that	DET
ijassa-1006	425	30	particular	particular	ADJ
ijassa-1006	425	31	asset	asset	NOUN
ijassa-1006	425	32	.	.	PUNCT
ijassa-1006	426	1	𝑟	𝑟	X
ijassa-1006	426	2	is	be	AUX
ijassa-1006	426	3	the	the	DET
ijassa-1006	426	4	portfolio	portfolio	NOUN
ijassa-1006	426	5	return	return	NOUN
ijassa-1006	426	6	,	,	PUNCT
ijassa-1006	426	7	while	while	SCONJ
ijassa-1006	426	8	𝑟	𝑟	NOUN
ijassa-1006	426	9	is	be	AUX
ijassa-1006	426	10	the	the	DET
ijassa-1006	426	11	individual	individual	ADJ
ijassa-1006	426	12	return	return	NOUN
ijassa-1006	426	13	of	of	ADP
ijassa-1006	426	14	asset	asset	NOUN
ijassa-1006	426	15	𝑖.	𝑖.	ADV
ijassa-1006	426	16	6.2	6.2	NUM
ijassa-1006	426	17	.	.	PUNCT
ijassa-1006	427	1	experimental	experimental	ADJ
ijassa-1006	427	2	settings	setting	NOUN
ijassa-1006	427	3	and	and	CCONJ
ijassa-1006	427	4	dataset	dataset	VERB
ijassa-1006	427	5	all	all	DET
ijassa-1006	427	6	the	the	DET
ijassa-1006	427	7	experiments	experiment	NOUN
ijassa-1006	427	8	are	be	AUX
ijassa-1006	427	9	conducted	conduct	VERB
ijassa-1006	427	10	using	use	VERB
ijassa-1006	427	11	standard	standard	ADJ
ijassa-1006	427	12	markowitz	markowitz	PROPN
ijassa-1006	427	13	(	(	PUNCT
ijassa-1006	427	14	mean	mean	ADJ
ijassa-1006	427	15	-	-	PUNCT
ijassa-1006	427	16	variance	variance	NOUN
ijassa-1006	427	17	)	)	PUNCT
ijassa-1006	427	18	model	model	NOUN
ijassa-1006	427	19	.	.	PROPN
ijassa-1006	428	1	100	100	NUM
ijassa-1006	428	2	days	day	NOUN
ijassa-1006	428	3	’	'	PUNCT
ijassa-1006	428	4	closing	closing	NOUN
ijassa-1006	428	5	prices	price	NOUN
ijassa-1006	428	6	of	of	ADP
ijassa-1006	428	7	100	100	NUM
ijassa-1006	428	8	and	and	CCONJ
ijassa-1006	428	9	500	500	NUM
ijassa-1006	428	10	stocks	stock	NOUN
ijassa-1006	428	11	were	be	AUX
ijassa-1006	428	12	downloaded	download	VERB
ijassa-1006	428	13	and	and	CCONJ
ijassa-1006	428	14	used	use	VERB
ijassa-1006	428	15	as	as	ADP
ijassa-1006	428	16	the	the	DET
ijassa-1006	428	17	historical	historical	ADJ
ijassa-1006	428	18	stock	stock	NOUN
ijassa-1006	428	19	data	datum	NOUN
ijassa-1006	428	20	in	in	ADP
ijassa-1006	428	21	the	the	DET
ijassa-1006	428	22	simulation	simulation	NOUN
ijassa-1006	428	23	and	and	CCONJ
ijassa-1006	428	24	used	use	VERB
ijassa-1006	428	25	as	as	ADP
ijassa-1006	428	26	the	the	DET
ijassa-1006	428	27	test	test	NOUN
ijassa-1006	428	28	data	datum	NOUN
ijassa-1006	428	29	used	use	VERB
ijassa-1006	428	30	in	in	ADP
ijassa-1006	428	31	the	the	DET
ijassa-1006	428	32	simulation	simulation	NOUN
ijassa-1006	428	33	.	.	PUNCT
ijassa-1006	429	1	stocks	stock	NOUN
ijassa-1006	429	2	’	'	PUNCT
ijassa-1006	429	3	monthly	monthly	ADJ
ijassa-1006	429	4	returns	return	NOUN
ijassa-1006	429	5	and	and	CCONJ
ijassa-1006	429	6	close	close	ADJ
ijassa-1006	429	7	prices	price	NOUN
ijassa-1006	429	8	are	be	AUX
ijassa-1006	429	9	picked	pick	VERB
ijassa-1006	429	10	from	from	ADP
ijassa-1006	429	11	[	[	X
ijassa-1006	429	12	71	71	NUM
ijassa-1006	429	13	]	]	PUNCT
ijassa-1006	429	14	.	.	PUNCT
ijassa-1006	430	1	a	a	DET
ijassa-1006	430	2	monthly	monthly	ADJ
ijassa-1006	430	3	return	return	NOUN
ijassa-1006	430	4	calculation	calculation	NOUN
ijassa-1006	430	5	is	be	AUX
ijassa-1006	430	6	formulated	formulate	VERB
ijassa-1006	430	7	as	as	ADP
ijassa-1006	430	8	:	:	PUNCT
ijassa-1006	430	9	𝑀	𝑀	PROPN
ijassa-1006	430	10	=	=	PUNCT
ijassa-1006	430	11	ln	ln	ADJ
ijassa-1006	430	12	;	;	PUNCT
ijassa-1006	430	13	where	where	SCONJ
ijassa-1006	430	14	,	,	PUNCT
ijassa-1006	430	15	𝑃(𝑡	𝑃(𝑡	NUM
ijassa-1006	430	16	)	)	PUNCT
ijassa-1006	430	17	is	be	AUX
ijassa-1006	430	18	the	the	DET
ijassa-1006	430	19	closing	closing	NOUN
ijassa-1006	430	20	price	price	NOUN
ijassa-1006	430	21	,	,	PUNCT
ijassa-1006	430	22	𝑃(𝑡	𝑃(𝑡	PUNCT
ijassa-1006	430	23	−	−	PROPN
ijassa-1006	430	24	1	1	NUM
ijassa-1006	430	25	)	)	PUNCT
ijassa-1006	430	26	is	be	AUX
ijassa-1006	430	27	the	the	DET
ijassa-1006	430	28	closing	closing	NOUN
ijassa-1006	430	29	price	price	NOUN
ijassa-1006	430	30	in	in	ADP
ijassa-1006	430	31	the	the	DET
ijassa-1006	430	32	day	day	NOUN
ijassa-1006	430	33	before	before	ADV
ijassa-1006	430	34	and	and	CCONJ
ijassa-1006	430	35	𝑀(𝑡	𝑀(𝑡	NUM
ijassa-1006	430	36	)	)	PUNCT
ijassa-1006	431	1	is	be	AUX
ijassa-1006	431	2	the	the	DET
ijassa-1006	431	3	monthly	monthly	ADJ
ijassa-1006	431	4	return	return	NOUN
ijassa-1006	431	5	.	.	PUNCT
ijassa-1006	432	1	experiments	experiment	NOUN
ijassa-1006	432	2	are	be	AUX
ijassa-1006	432	3	conducted	conduct	VERB
ijassa-1006	432	4	on	on	ADP
ijassa-1006	432	5	100	100	NUM
ijassa-1006	432	6	and	and	CCONJ
ijassa-1006	432	7	500	500	NUM
ijassa-1006	432	8	stocks	stock	NOUN
ijassa-1006	432	9	.	.	PUNCT
ijassa-1006	433	1	thus	thus	ADV
ijassa-1006	433	2	,	,	PUNCT
ijassa-1006	433	3	the	the	DET
ijassa-1006	433	4	chromosome	chromosome	NOUN
ijassa-1006	433	5	size	size	NOUN
ijassa-1006	433	6	is	be	AUX
ijassa-1006	433	7	100	100	NUM
ijassa-1006	433	8	and	and	CCONJ
ijassa-1006	433	9	500	500	NUM
ijassa-1006	433	10	,	,	PUNCT
ijassa-1006	433	11	respectively	respectively	ADV
ijassa-1006	433	12	.	.	PUNCT
ijassa-1006	434	1	and	and	CCONJ
ijassa-1006	434	2	the	the	DET
ijassa-1006	434	3	number	number	NOUN
ijassa-1006	434	4	of	of	ADP
ijassa-1006	434	5	function	function	NOUN
ijassa-1006	434	6	evaluation	evaluation	NOUN
ijassa-1006	434	7	is	be	AUX
ijassa-1006	434	8	100000	100000	NUM
ijassa-1006	434	9	and	and	CCONJ
ijassa-1006	434	10	300000	300000	NUM
ijassa-1006	434	11	respectively	respectively	ADV
ijassa-1006	434	12	for	for	ADP
ijassa-1006	434	13	all	all	DET
ijassa-1006	434	14	the	the	DET
ijassa-1006	434	15	three	three	NUM
ijassa-1006	434	16	algorithms	algorithm	NOUN
ijassa-1006	434	17	and	and	CCONJ
ijassa-1006	434	18	all	all	DET
ijassa-1006	434	19	algorithms	algorithm	NOUN
ijassa-1006	434	20	are	be	AUX
ijassa-1006	434	21	run	run	VERB
ijassa-1006	434	22	25	25	NUM
ijassa-1006	434	23	times	time	NOUN
ijassa-1006	434	24	with	with	ADP
ijassa-1006	434	25	random	random	ADJ
ijassa-1006	434	26	initialization	initialization	NOUN
ijassa-1006	434	27	.	.	PUNCT
ijassa-1006	435	1	except	except	SCONJ
ijassa-1006	435	2	mode	mode	NOUN
ijassa-1006	435	3	-	-	PUNCT
ijassa-1006	435	4	obl	obl	PROPN
ijassa-1006	435	5	,	,	PUNCT
ijassa-1006	435	6	two	two	NUM
ijassa-1006	435	7	other	other	ADJ
ijassa-1006	435	8	multi	multi	ADJ
ijassa-1006	435	9	-	-	ADJ
ijassa-1006	435	10	objective	objective	ADJ
ijassa-1006	435	11	evolutionary	evolutionary	ADJ
ijassa-1006	435	12	algorithms	algorithm	NOUN
ijassa-1006	435	13	are	be	AUX
ijassa-1006	435	14	also	also	ADV
ijassa-1006	435	15	tested	test	VERB
ijassa-1006	435	16	on	on	ADP
ijassa-1006	435	17	this	this	DET
ijassa-1006	435	18	portfolio	portfolio	NOUN
ijassa-1006	435	19	optimization	optimization	NOUN
ijassa-1006	435	20	problem	problem	NOUN
ijassa-1006	435	21	for	for	ADP
ijassa-1006	435	22	comparison	comparison	NOUN
ijassa-1006	435	23	due	due	ADP
ijassa-1006	435	24	to	to	ADP
ijassa-1006	435	25	their	their	PRON
ijassa-1006	435	26	superiority	superiority	NOUN
ijassa-1006	435	27	respected	respect	VERB
ijassa-1006	435	28	to	to	ADP
ijassa-1006	435	29	gd	gd	VERB
ijassa-1006	435	30	and	and	CCONJ
ijassa-1006	435	31	igd	igd	VERB
ijassa-1006	435	32	metrics	metric	NOUN
ijassa-1006	435	33	in	in	ADP
ijassa-1006	435	34	different	different	ADJ
ijassa-1006	435	35	benchmarks	benchmark	NOUN
ijassa-1006	435	36	problems	problem	NOUN
ijassa-1006	435	37	tested	test	VERB
ijassa-1006	435	38	previously	previously	ADV
ijassa-1006	435	39	.	.	PUNCT
ijassa-1006	436	1	for	for	ADP
ijassa-1006	436	2	real	real	ADV
ijassa-1006	436	3	-	-	PUNCT
ijassa-1006	436	4	coded	code	VERB
ijassa-1006	436	5	nsgaii	nsgaii	NOUN
ijassa-1006	436	6	,	,	PUNCT
ijassa-1006	436	7	a	a	DET
ijassa-1006	436	8	population	population	NOUN
ijassa-1006	436	9	size	size	NOUN
ijassa-1006	436	10	of	of	ADP
ijassa-1006	436	11	100	100	NUM
ijassa-1006	436	12	is	be	AUX
ijassa-1006	436	13	used	use	VERB
ijassa-1006	436	14	,	,	PUNCT
ijassa-1006	436	15	crossover	crossover	VERB
ijassa-1006	436	16	probability	probability	NOUN
ijassa-1006	436	17	of	of	ADP
ijassa-1006	436	18	0.9	0.9	NUM
ijassa-1006	436	19	and	and	CCONJ
ijassa-1006	436	20	mutation	mutation	NOUN
ijassa-1006	436	21	probability	probability	NOUN
ijassa-1006	436	22	of	of	ADP
ijassa-1006	436	23	1	1	NUM
ijassa-1006	436	24	/	/	SYM
ijassa-1006	436	25	n	n	NOUN
ijassa-1006	436	26	,	,	PUNCT
ijassa-1006	436	27	where	where	SCONJ
ijassa-1006	436	28	n	n	PRON
ijassa-1006	436	29	is	be	AUX
ijassa-1006	436	30	the	the	DET
ijassa-1006	436	31	number	number	NOUN
ijassa-1006	436	32	of	of	ADP
ijassa-1006	436	33	decision	decision	NOUN
ijassa-1006	436	34	variables	variable	NOUN
ijassa-1006	436	35	,	,	PUNCT
ijassa-1006	436	36	distribution	distribution	NOUN
ijassa-1006	436	37	indexes	index	NOUN
ijassa-1006	436	38	for	for	ADP
ijassa-1006	436	39	crossover	crossover	NOUN
ijassa-1006	436	40	and	and	CCONJ
ijassa-1006	436	41	mutation	mutation	NOUN
ijassa-1006	436	42	operators	operator	NOUN
ijassa-1006	436	43	as	as	SCONJ
ijassa-1006	436	44	presented	present	VERB
ijassa-1006	436	45	in	in	ADP
ijassa-1006	436	46	[	[	X
ijassa-1006	436	47	72	72	NUM
ijassa-1006	436	48	]	]	SYM
ijassa-1006	436	49	.	.	PUNCT
ijassa-1006	437	1	moea	moea	PROPN
ijassa-1006	437	2	/	/	SYM
ijassa-1006	437	3	d	d	X
ijassa-1006	437	4	-	-	PUNCT
ijassa-1006	437	5	de	de	NOUN
ijassa-1006	437	6	uses	use	VERB
ijassa-1006	437	7	a	a	DET
ijassa-1006	437	8	population	population	NOUN
ijassa-1006	437	9	size	size	NOUN
ijassa-1006	437	10	of	of	ADP
ijassa-1006	437	11	100	100	NUM
ijassa-1006	437	12	,	,	PUNCT
ijassa-1006	437	13	f	f	PROPN
ijassa-1006	437	14	is	be	AUX
ijassa-1006	437	15	set	set	VERB
ijassa-1006	437	16	to	to	ADP
ijassa-1006	437	17	0.5	0.5	NUM
ijassa-1006	437	18	and	and	CCONJ
ijassa-1006	437	19	cr	cr	NOUN
ijassa-1006	437	20	is	be	AUX
ijassa-1006	437	21	set	set	VERB
ijassa-1006	437	22	to	to	ADP
ijassa-1006	437	23	0.1	0.1	NUM
ijassa-1006	437	24	.	.	PUNCT
ijassa-1006	438	1	to	to	PART
ijassa-1006	438	2	check	check	VERB
ijassa-1006	438	3	the	the	DET
ijassa-1006	438	4	robustness	robustness	NOUN
ijassa-1006	438	5	of	of	ADP
ijassa-1006	438	6	the	the	DET
ijassa-1006	438	7	results	result	NOUN
ijassa-1006	438	8	,	,	PUNCT
ijassa-1006	438	9	25	25	NUM
ijassa-1006	438	10	simulations	simulation	NOUN
ijassa-1006	438	11	for	for	ADP
ijassa-1006	438	12	each	each	DET
ijassa-1006	438	13	algorithm	algorithm	NOUN
ijassa-1006	438	14	and	and	CCONJ
ijassa-1006	438	15	for	for	ADP
ijassa-1006	438	16	each	each	DET
ijassa-1006	438	17	test	test	NOUN
ijassa-1006	438	18	problem	problem	NOUN
ijassa-1006	438	19	are	be	AUX
ijassa-1006	438	20	used	use	VERB
ijassa-1006	438	21	.	.	PUNCT
ijassa-1006	439	1	the	the	DET
ijassa-1006	439	2	algorithms	algorithm	NOUN
ijassa-1006	439	3	are	be	AUX
ijassa-1006	439	4	implemented	implement	VERB
ijassa-1006	439	5	in	in	ADP
ijassa-1006	439	6	matlab	matlab	PROPN
ijassa-1006	439	7	r2019b	r2019b	X
ijassa-1006	439	8	and	and	CCONJ
ijassa-1006	439	9	the	the	DET
ijassa-1006	439	10	experiments	experiment	NOUN
ijassa-1006	439	11	are	be	AUX
ijassa-1006	439	12	carried	carry	VERB
ijassa-1006	439	13	out	out	ADP
ijassa-1006	439	14	on	on	ADP
ijassa-1006	439	15	a	a	DET
ijassa-1006	439	16	2.6	2.6	NUM
ijassa-1006	439	17	ghz	ghz	NOUN
ijassa-1006	439	18	intel	intel	NOUN
ijassa-1006	439	19	core	core	NOUN
ijassa-1006	439	20	i5	i5	ADJ
ijassa-1006	439	21	7300u	7300u	PROPN
ijassa-1006	439	22	laptop	laptop	NOUN
ijassa-1006	439	23	with	with	ADP
ijassa-1006	439	24	8	8	NUM
ijassa-1006	439	25	gb	gb	NOUN
ijassa-1006	439	26	ram	ram	NOUN
ijassa-1006	439	27	.	.	PUNCT
ijassa-1006	440	1	6.3	6.3	NUM
ijassa-1006	440	2	.	.	PUNCT
ijassa-1006	441	1	experimental	experimental	ADJ
ijassa-1006	441	2	results	result	NOUN
ijassa-1006	441	3	a	a	DET
ijassa-1006	441	4	set	set	NOUN
ijassa-1006	441	5	of	of	ADP
ijassa-1006	441	6	non	non	ADJ
ijassa-1006	441	7	-	-	ADJ
ijassa-1006	441	8	dominated	dominate	VERB
ijassa-1006	441	9	solutions	solution	NOUN
ijassa-1006	441	10	generated	generate	VERB
ijassa-1006	441	11	by	by	ADP
ijassa-1006	441	12	moeas	moea	NOUN
ijassa-1006	441	13	can	can	AUX
ijassa-1006	441	14	be	be	AUX
ijassa-1006	441	15	measured	measure	VERB
ijassa-1006	441	16	with	with	ADP
ijassa-1006	441	17	different	different	ADJ
ijassa-1006	441	18	performance	performance	NOUN
ijassa-1006	441	19	metrics	metric	NOUN
ijassa-1006	441	20	available	available	ADJ
ijassa-1006	441	21	in	in	ADP
ijassa-1006	441	22	the	the	DET
ijassa-1006	441	23	literature	literature	NOUN
ijassa-1006	441	24	.	.	PUNCT
ijassa-1006	442	1	in	in	ADP
ijassa-1006	442	2	case	case	NOUN
ijassa-1006	442	3	,	,	PUNCT
ijassa-1006	442	4	we	we	PRON
ijassa-1006	442	5	do	do	AUX
ijassa-1006	442	6	n't	not	PART
ijassa-1006	442	7	have	have	VERB
ijassa-1006	442	8	information	information	NOUN
ijassa-1006	442	9	regarding	regard	VERB
ijassa-1006	442	10	true	true	ADJ
ijassa-1006	442	11	pareto	pareto	ADJ
ijassa-1006	442	12	front	front	NOUN
ijassa-1006	442	13	,	,	PUNCT
ijassa-1006	442	14	then	then	ADV
ijassa-1006	442	15	coefficient	coefficient	NOUN
ijassa-1006	442	16	of	of	ADP
ijassa-1006	442	17	variation	variation	NOUN
ijassa-1006	442	18	measure	measure	NOUN
ijassa-1006	442	19	𝐶𝑉	𝐶𝑉	PROPN
ijassa-1006	442	20	defined	define	VERB
ijassa-1006	442	21	as	as	ADP
ijassa-1006	442	22	follow	follow	NOUN
ijassa-1006	442	23	(	(	PUNCT
ijassa-1006	442	24	eq	eq	NOUN
ijassa-1006	442	25	6.4	6.4	NUM
ijassa-1006	442	26	)	)	PUNCT
ijassa-1006	442	27	is	be	AUX
ijassa-1006	442	28	used	use	VERB
ijassa-1006	442	29	:	:	PUNCT
ijassa-1006	443	1	𝐶𝑉	𝐶𝑉	NOUN
ijassa-1006	443	2	=	=	SYM
ijassa-1006	443	3	𝑚	𝑚	NOUN
ijassa-1006	443	4	𝜎	𝜎	NOUN
ijassa-1006	443	5	=	=	X
ijassa-1006	443	6	𝑚𝑒𝑎𝑛	𝑚𝑒𝑎𝑛	NOUN
ijassa-1006	443	7	(	(	PUNCT
ijassa-1006	443	8	𝐽(𝑥	𝐽(𝑥	NUM
ijassa-1006	443	9	)	)	PUNCT
ijassa-1006	443	10	,	,	PUNCT
ijassa-1006	443	11	𝑥	𝑥	PROPN
ijassa-1006	443	12	∈	∈	PROPN
ijassa-1006	443	13	𝑋	𝑋	PROPN
ijassa-1006	443	14	|	|	ADV
ijassa-1006	443	15	𝑉𝑎𝑟{𝐽(𝑥	𝑉𝑎𝑟{𝐽(𝑥	VERB
ijassa-1006	443	16	)	)	PUNCT
ijassa-1006	443	17	,	,	PUNCT
ijassa-1006	443	18	𝑥	𝑥	DET
ijassa-1006	443	19	∈	∈	PROPN
ijassa-1006	443	20	𝑋	𝑋	PROPN
ijassa-1006	443	21	}	}	PUNCT
ijassa-1006	443	22	(	(	PUNCT
ijassa-1006	443	23	6.4	6.4	NUM
ijassa-1006	443	24	)	)	PUNCT
ijassa-1006	443	25	which	which	PRON
ijassa-1006	443	26	allows	allow	VERB
ijassa-1006	443	27	to	to	PART
ijassa-1006	443	28	determine	determine	VERB
ijassa-1006	443	29	how	how	SCONJ
ijassa-1006	443	30	much	much	ADJ
ijassa-1006	443	31	volatility	volatility	NOUN
ijassa-1006	443	32	,	,	PUNCT
ijassa-1006	443	33	or	or	CCONJ
ijassa-1006	443	34	risk	risk	NOUN
ijassa-1006	443	35	,	,	PUNCT
ijassa-1006	443	36	is	be	AUX
ijassa-1006	443	37	assumed	assume	VERB
ijassa-1006	443	38	in	in	ADP
ijassa-1006	443	39	comparison	comparison	NOUN
ijassa-1006	443	40	to	to	ADP
ijassa-1006	443	41	the	the	DET
ijassa-1006	443	42	amount	amount	NOUN
ijassa-1006	443	43	of	of	ADP
ijassa-1006	443	44	expected	expect	VERB
ijassa-1006	443	45	return	return	NOUN
ijassa-1006	443	46	from	from	ADP
ijassa-1006	443	47	investments	investment	NOUN
ijassa-1006	443	48	and	and	CCONJ
ijassa-1006	443	49	spacing	space	VERB
ijassa-1006	443	50	metric	metric	ADJ
ijassa-1006	443	51	(	(	PUNCT
ijassa-1006	443	52	sp	sp	NOUN
ijassa-1006	443	53	)	)	PUNCT
ijassa-1006	443	54	suggested	suggest	VERB
ijassa-1006	443	55	by	by	ADP
ijassa-1006	443	56	[	[	PUNCT
ijassa-1006	443	57	73	73	NUM
ijassa-1006	443	58	]	]	PUNCT
ijassa-1006	443	59	is	be	AUX
ijassa-1006	443	60	a	a	DET
ijassa-1006	443	61	novel	novel	ADJ
ijassa-1006	443	62	two	two	NUM
ijassa-1006	443	63	-	-	PUNCT
ijassa-1006	443	64	stage	stage	NOUN
ijassa-1006	443	65	hybrid	hybrid	ADJ
ijassa-1006	443	66	multi	multi	ADJ
ijassa-1006	443	67	-	-	ADJ
ijassa-1006	443	68	objective	objective	ADJ
ijassa-1006	443	69	differential	differential	ADJ
ijassa-1006	443	70	evolution	evolution	NOUN
ijassa-1006	443	71	…	…	PUNCT
ijassa-1006	443	72	173	173	NUM
ijassa-1006	443	73	copyright	copyright	NOUN
ijassa-1006	443	74	©	©	PROPN
ijassa-1006	443	75	2023	2023	NUM
ijassa-1006	443	76	assa	assa	NOUN
ijassa-1006	443	77	.	.	PUNCT
ijassa-1006	444	1	adv	adv	PROPN
ijassa-1006	444	2	.	.	PUNCT
ijassa-1006	445	1	in	in	ADP
ijassa-1006	445	2	systems	system	NOUN
ijassa-1006	445	3	science	science	NOUN
ijassa-1006	445	4	and	and	CCONJ
ijassa-1006	445	5	appl	appl	NOUN
ijassa-1006	445	6	.	.	PUNCT
ijassa-1006	446	1	(	(	PUNCT
ijassa-1006	446	2	2023	2023	NUM
ijassa-1006	446	3	)	)	PUNCT
ijassa-1006	446	4	calculated	calculate	VERB
ijassa-1006	446	5	with	with	ADP
ijassa-1006	446	6	a	a	DET
ijassa-1006	446	7	relative	relative	ADJ
ijassa-1006	446	8	distance	distance	NOUN
ijassa-1006	446	9	measure	measure	NOUN
ijassa-1006	446	10	between	between	ADP
ijassa-1006	446	11	consecutive	consecutive	ADJ
ijassa-1006	446	12	solutions	solution	NOUN
ijassa-1006	446	13	in	in	ADP
ijassa-1006	446	14	the	the	DET
ijassa-1006	446	15	obtained	obtain	VERB
ijassa-1006	446	16	non	non	ADJ
ijassa-1006	446	17	-	-	ADJ
ijassa-1006	446	18	dominated	dominated	ADJ
ijassa-1006	446	19	set	set	NOUN
ijassa-1006	446	20	,	,	PUNCT
ijassa-1006	446	21	as	as	SCONJ
ijassa-1006	446	22	follows	follow	VERB
ijassa-1006	446	23	:	:	PUNCT
ijassa-1006	446	24	𝑆𝑃	𝑆𝑃	PROPN
ijassa-1006	446	25	=	=	SYM
ijassa-1006	446	26	1	1	NUM
ijassa-1006	446	27	|𝑆|	|𝑆|	VERB
ijassa-1006	446	28	−	−	PROPN
ijassa-1006	446	29	1	1	NUM
ijassa-1006	446	30	�	�	PROPN
ijassa-1006	446	31	̅	̅	NOUN
ijassa-1006	446	32	�	�	NOUN
ijassa-1006	446	33	−	−	NOUN
ijassa-1006	447	1	𝑑	𝑑	PRON
ijassa-1006	448	1	|	|	ADV
ijassa-1006	448	2	|	|	ADV
ijassa-1006	448	3	,	,	PUNCT
ijassa-1006	448	4	(	(	PUNCT
ijassa-1006	448	5	6.5	6.5	NUM
ijassa-1006	448	6	)	)	PUNCT
ijassa-1006	448	7	where	where	SCONJ
ijassa-1006	448	8	𝑑	𝑑	PROPN
ijassa-1006	448	9	=	=	SYM
ijassa-1006	448	10	𝑚𝑖𝑛	𝑚𝑖𝑛	PROPN
ijassa-1006	448	11	(	(	PUNCT
ijassa-1006	448	12	,	,	PUNCT
ijassa-1006	448	13	)	)	PUNCT
ijassa-1006	448	14	∈	∈	PROPN
ijassa-1006	448	15	,	,	PUNCT
ijassa-1006	448	16	𝐹(𝑠	𝐹(𝑠	PRON
ijassa-1006	448	17	)	)	PUNCT
ijassa-1006	448	18	−	−	PROPN
ijassa-1006	448	19	𝐹(𝑠	𝐹(𝑠	PUNCT
ijassa-1006	448	20	)	)	PUNCT
ijassa-1006	448	21	is	be	AUX
ijassa-1006	448	22	the	the	DET
ijassa-1006	448	23	𝑙	𝑙	DET
ijassa-1006	448	24	distance	distance	NOUN
ijassa-1006	448	25	between	between	ADP
ijassa-1006	448	26	a	a	DET
ijassa-1006	448	27	point	point	NOUN
ijassa-1006	448	28	𝑠	𝑠	X
ijassa-1006	448	29	∈	∈	PROPN
ijassa-1006	448	30	𝑆	𝑆	PROPN
ijassa-1006	448	31	and	and	CCONJ
ijassa-1006	448	32	the	the	DET
ijassa-1006	448	33	closest	close	ADJ
ijassa-1006	448	34	point	point	NOUN
ijassa-1006	448	35	of	of	ADP
ijassa-1006	448	36	the	the	DET
ijassa-1006	448	37	pareto	pareto	ADJ
ijassa-1006	448	38	front	front	ADJ
ijassa-1006	448	39	approximation	approximation	NOUN
ijassa-1006	448	40	produced	produce	VERB
ijassa-1006	448	41	by	by	ADP
ijassa-1006	448	42	the	the	DET
ijassa-1006	448	43	same	same	ADJ
ijassa-1006	448	44	algorithm	algorithm	NOUN
ijassa-1006	448	45	,	,	PUNCT
ijassa-1006	448	46	and	and	CCONJ
ijassa-1006	448	47	�	�	PROPN
ijassa-1006	448	48	̅	̅	NOUN
ijassa-1006	448	49	�	�	NOUN
ijassa-1006	448	50	the	the	DET
ijassa-1006	448	51	mean	mean	NOUN
ijassa-1006	448	52	of	of	ADP
ijassa-1006	448	53	the	the	DET
ijassa-1006	448	54	𝑑	𝑑	PROPN
ijassa-1006	448	55	.	.	PUNCT
ijassa-1006	449	1	from	from	ADP
ijassa-1006	449	2	the	the	DET
ijassa-1006	449	3	results	result	NOUN
ijassa-1006	449	4	obtained	obtain	VERB
ijassa-1006	449	5	in	in	ADP
ijassa-1006	449	6	table	table	NOUN
ijassa-1006	449	7	6.1	6.1	NUM
ijassa-1006	449	8	,	,	PUNCT
ijassa-1006	449	9	it	it	PRON
ijassa-1006	449	10	is	be	AUX
ijassa-1006	449	11	observed	observe	VERB
ijassa-1006	449	12	that	that	SCONJ
ijassa-1006	449	13	mode	mode	NOUN
ijassa-1006	449	14	-	-	PUNCT
ijassa-1006	449	15	obl	obl	PROPN
ijassa-1006	449	16	obtains	obtain	VERB
ijassa-1006	449	17	better	well	ADJ
ijassa-1006	449	18	pareto	pareto	VERB
ijassa-1006	449	19	-	-	PUNCT
ijassa-1006	449	20	optimal	optimal	ADJ
ijassa-1006	449	21	fronts	front	NOUN
ijassa-1006	449	22	with	with	ADP
ijassa-1006	449	23	better	well	ADJ
ijassa-1006	449	24	convergence	convergence	NOUN
ijassa-1006	449	25	and	and	CCONJ
ijassa-1006	449	26	diversity	diversity	NOUN
ijassa-1006	449	27	comparing	compare	VERB
ijassa-1006	449	28	with	with	ADP
ijassa-1006	449	29	nsga	nsga	NOUN
ijassa-1006	449	30	-	-	PUNCT
ijassa-1006	449	31	ii	ii	NOUN
ijassa-1006	449	32	and	and	CCONJ
ijassa-1006	449	33	moea	moea	NOUN
ijassa-1006	449	34	/	/	SYM
ijassa-1006	449	35	d	d	NOUN
ijassa-1006	449	36	-	-	PUNCT
ijassa-1006	449	37	de	de	X
ijassa-1006	449	38	on	on	ADP
ijassa-1006	449	39	100	100	NUM
ijassa-1006	449	40	-	-	PUNCT
ijassa-1006	449	41	stocks	stock	NOUN
ijassa-1006	449	42	problem	problem	NOUN
ijassa-1006	449	43	.	.	PUNCT
ijassa-1006	450	1	the	the	DET
ijassa-1006	450	2	differences	difference	NOUN
ijassa-1006	450	3	among	among	ADP
ijassa-1006	450	4	various	various	ADJ
ijassa-1006	450	5	algorithms	algorithm	NOUN
ijassa-1006	450	6	are	be	AUX
ijassa-1006	450	7	small	small	ADJ
ijassa-1006	450	8	compared	compare	VERB
ijassa-1006	450	9	with	with	ADP
ijassa-1006	450	10	the	the	DET
ijassa-1006	450	11	results	result	NOUN
ijassa-1006	450	12	obtained	obtain	VERB
ijassa-1006	450	13	in	in	ADP
ijassa-1006	450	14	terms	term	NOUN
ijassa-1006	450	15	of	of	ADP
ijassa-1006	450	16	distribution	distribution	NOUN
ijassa-1006	450	17	metric	metric	ADJ
ijassa-1006	450	18	with	with	ADP
ijassa-1006	450	19	slight	slight	ADJ
ijassa-1006	450	20	superiority	superiority	NOUN
ijassa-1006	450	21	of	of	ADP
ijassa-1006	450	22	mode	mode	NOUN
ijassa-1006	450	23	-	-	PUNCT
ijassa-1006	450	24	obl	obl	PROPN
ijassa-1006	450	25	.	.	PUNCT
ijassa-1006	451	1	note	note	VERB
ijassa-1006	451	2	that	that	SCONJ
ijassa-1006	451	3	moea	moea	NOUN
ijassa-1006	451	4	/	/	SYM
ijassa-1006	451	5	d	d	X
ijassa-1006	451	6	-	-	PUNCT
ijassa-1006	451	7	de	de	ADV
ijassa-1006	451	8	showed	show	VERB
ijassa-1006	451	9	good	good	ADJ
ijassa-1006	451	10	performance	performance	NOUN
ijassa-1006	451	11	when	when	SCONJ
ijassa-1006	451	12	optimizing	optimize	VERB
ijassa-1006	451	13	the	the	DET
ijassa-1006	451	14	500stock	500stock	PROPN
ijassa-1006	451	15	portfolio	portfolio	NOUN
ijassa-1006	451	16	indicating	indicate	VERB
ijassa-1006	451	17	that	that	SCONJ
ijassa-1006	451	18	multi	multi	ADJ
ijassa-1006	451	19	-	-	ADJ
ijassa-1006	451	20	objective	objective	ADJ
ijassa-1006	451	21	algorithm	algorithm	NOUN
ijassa-1006	451	22	-	-	PUNCT
ijassa-1006	451	23	based	base	VERB
ijassa-1006	451	24	decomposition	decomposition	NOUN
ijassa-1006	451	25	approach	approach	NOUN
ijassa-1006	451	26	has	have	VERB
ijassa-1006	451	27	a	a	DET
ijassa-1006	451	28	stronger	strong	ADJ
ijassa-1006	451	29	ability	ability	NOUN
ijassa-1006	451	30	in	in	ADP
ijassa-1006	451	31	solving	solve	VERB
ijassa-1006	451	32	large	large	ADJ
ijassa-1006	451	33	-	-	PUNCT
ijassa-1006	451	34	scale	scale	NOUN
ijassa-1006	451	35	optimization	optimization	NOUN
ijassa-1006	451	36	problem	problem	NOUN
ijassa-1006	451	37	.	.	PUNCT
ijassa-1006	452	1	a	a	DET
ijassa-1006	452	2	better	well	ADJ
ijassa-1006	452	3	insight	insight	NOUN
ijassa-1006	452	4	into	into	ADP
ijassa-1006	452	5	the	the	DET
ijassa-1006	452	6	nature	nature	NOUN
ijassa-1006	452	7	of	of	ADP
ijassa-1006	452	8	the	the	DET
ijassa-1006	452	9	found	find	VERB
ijassa-1006	452	10	solutions	solution	NOUN
ijassa-1006	452	11	can	can	AUX
ijassa-1006	452	12	be	be	AUX
ijassa-1006	452	13	obtained	obtain	VERB
ijassa-1006	452	14	by	by	ADP
ijassa-1006	452	15	analyzing	analyze	VERB
ijassa-1006	452	16	fig	fig	NOUN
ijassa-1006	452	17	6.1	6.1	NUM
ijassa-1006	452	18	and	and	CCONJ
ijassa-1006	452	19	fig	fig	NOUN
ijassa-1006	452	20	6.2	6.2	NUM
ijassa-1006	452	21	.	.	PUNCT
ijassa-1006	453	1	the	the	DET
ijassa-1006	453	2	plots	plot	NOUN
ijassa-1006	453	3	presented	present	VERB
ijassa-1006	453	4	in	in	ADP
ijassa-1006	453	5	these	these	DET
ijassa-1006	453	6	figures	figure	NOUN
ijassa-1006	453	7	show	show	VERB
ijassa-1006	453	8	the	the	DET
ijassa-1006	453	9	efficient	efficient	ADJ
ijassa-1006	453	10	frontiers	frontier	NOUN
ijassa-1006	453	11	.	.	PUNCT
ijassa-1006	454	1	as	as	SCONJ
ijassa-1006	454	2	can	can	AUX
ijassa-1006	454	3	been	be	AUX
ijassa-1006	454	4	seen	see	VERB
ijassa-1006	454	5	from	from	ADP
ijassa-1006	454	6	these	these	DET
ijassa-1006	454	7	plots	plot	NOUN
ijassa-1006	454	8	,	,	PUNCT
ijassa-1006	454	9	the	the	DET
ijassa-1006	454	10	best	good	ADJ
ijassa-1006	454	11	results	result	NOUN
ijassa-1006	454	12	(	(	PUNCT
ijassa-1006	454	13	risk	risk	NOUN
ijassa-1006	454	14	/	/	SYM
ijassa-1006	454	15	return	return	NOUN
ijassa-1006	454	16	)	)	PUNCT
ijassa-1006	454	17	are	be	AUX
ijassa-1006	454	18	generated	generate	VERB
ijassa-1006	454	19	by	by	ADP
ijassa-1006	454	20	moea	moea	NOUN
ijassa-1006	454	21	/	/	SYM
ijassa-1006	454	22	d	d	NOUN
ijassa-1006	454	23	-	-	PUNCT
ijassa-1006	454	24	de	de	X
ijassa-1006	454	25	in	in	ADP
ijassa-1006	454	26	500stocks	500stocks	PROPN
ijassa-1006	454	27	and	and	CCONJ
ijassa-1006	454	28	quasi	quasi	ADJ
ijassa-1006	454	29	-	-	ADJ
ijassa-1006	454	30	consistent	consistent	ADJ
ijassa-1006	454	31	with	with	ADP
ijassa-1006	454	32	the	the	DET
ijassa-1006	454	33	results	result	NOUN
ijassa-1006	454	34	obtained	obtain	VERB
ijassa-1006	454	35	by	by	ADP
ijassa-1006	454	36	mode	mode	NOUN
ijassa-1006	454	37	-	-	PUNCT
ijassa-1006	454	38	obl	obl	PROPN
ijassa-1006	454	39	in	in	ADP
ijassa-1006	454	40	100	100	NUM
ijassa-1006	454	41	-	-	PUNCT
ijassa-1006	454	42	stocks	stock	NOUN
ijassa-1006	454	43	.	.	PUNCT
ijassa-1006	455	1	although	although	SCONJ
ijassa-1006	455	2	nsgaii	nsgaii	NOUN
ijassa-1006	455	3	performs	perform	VERB
ijassa-1006	455	4	the	the	DET
ijassa-1006	455	5	worst	bad	ADJ
ijassa-1006	455	6	,	,	PUNCT
ijassa-1006	455	7	it	it	PRON
ijassa-1006	455	8	can	can	AUX
ijassa-1006	455	9	still	still	ADV
ijassa-1006	455	10	generate	generate	VERB
ijassa-1006	455	11	distributed	distribute	VERB
ijassa-1006	455	12	and	and	CCONJ
ijassa-1006	455	13	satisfactory	satisfactory	ADJ
ijassa-1006	455	14	fronts	front	NOUN
ijassa-1006	455	15	.	.	PUNCT
ijassa-1006	456	1	the	the	DET
ijassa-1006	456	2	experiments	experiment	NOUN
ijassa-1006	456	3	conducted	conduct	VERB
ijassa-1006	456	4	on	on	ADP
ijassa-1006	456	5	portfolio	portfolio	NOUN
ijassa-1006	456	6	optimization	optimization	NOUN
ijassa-1006	456	7	problems	problem	NOUN
ijassa-1006	456	8	with	with	ADP
ijassa-1006	456	9	100	100	NUM
ijassa-1006	456	10	and	and	CCONJ
ijassa-1006	456	11	500	500	NUM
ijassa-1006	456	12	stocks	stock	NOUN
ijassa-1006	456	13	show	show	VERB
ijassa-1006	456	14	that	that	SCONJ
ijassa-1006	456	15	the	the	DET
ijassa-1006	456	16	multi	multi	ADJ
ijassa-1006	456	17	-	-	ADJ
ijassa-1006	456	18	objective	objective	ADJ
ijassa-1006	456	19	differential	differential	ADJ
ijassa-1006	456	20	algorithm	algorithm	NOUN
ijassa-1006	456	21	based	base	VERB
ijassa-1006	456	22	ranking	rank	VERB
ijassa-1006	456	23	mutation	mutation	NOUN
ijassa-1006	456	24	combined	combine	VERB
ijassa-1006	456	25	with	with	ADP
ijassa-1006	456	26	opposition	opposition	NOUN
ijassa-1006	456	27	-	-	PUNCT
ijassa-1006	456	28	based	base	VERB
ijassa-1006	456	29	learning	learning	NOUN
ijassa-1006	456	30	presented	present	VERB
ijassa-1006	456	31	an	an	DET
ijassa-1006	456	32	excellent	excellent	ADJ
ijassa-1006	456	33	performance	performance	NOUN
ijassa-1006	456	34	comparing	compare	VERB
ijassa-1006	456	35	with	with	ADP
ijassa-1006	456	36	other	other	ADJ
ijassa-1006	456	37	two	two	NUM
ijassa-1006	456	38	multi	multi	ADJ
ijassa-1006	456	39	-	-	ADJ
ijassa-1006	456	40	objective	objective	ADJ
ijassa-1006	456	41	evolutionary	evolutionary	ADJ
ijassa-1006	456	42	algorithms	algorithm	NOUN
ijassa-1006	456	43	and	and	CCONJ
ijassa-1006	456	44	was	be	AUX
ijassa-1006	456	45	a	a	DET
ijassa-1006	456	46	potential	potential	ADJ
ijassa-1006	456	47	solution	solution	NOUN
ijassa-1006	456	48	for	for	ADP
ijassa-1006	456	49	this	this	DET
ijassa-1006	456	50	kind	kind	NOUN
ijassa-1006	456	51	of	of	ADP
ijassa-1006	456	52	problems	problem	NOUN
ijassa-1006	456	53	.	.	PUNCT
ijassa-1006	457	1	table	table	NOUN
ijassa-1006	457	2	6.1	6.1	NUM
ijassa-1006	457	3	.	.	PUNCT
ijassa-1006	458	1	the	the	DET
ijassa-1006	458	2	comparison	comparison	NOUN
ijassa-1006	458	3	results	result	NOUN
ijassa-1006	458	4	of	of	ADP
ijassa-1006	458	5	algorithms	algorithms	NOUN
ijassa-1006	458	6	mode	mode	NOUN
ijassa-1006	458	7	-	-	PUNCT
ijassa-1006	458	8	obl	obl	PROPN
ijassa-1006	458	9	,	,	PUNCT
ijassa-1006	458	10	moea	moea	NOUN
ijassa-1006	458	11	/	/	SYM
ijassa-1006	458	12	d	d	NOUN
ijassa-1006	458	13	-	-	PUNCT
ijassa-1006	458	14	de	de	ADJ
ijassa-1006	458	15	,	,	PUNCT
ijassa-1006	458	16	nsga	nsga	PROPN
ijassa-1006	458	17	-	-	PUNCT
ijassa-1006	458	18	ii	ii	NOUN
ijassa-1006	458	19	dataset	dataset	NOUN
ijassa-1006	458	20	metrics	metric	NOUN
ijassa-1006	458	21	statistics	statistic	NOUN
ijassa-1006	458	22	mode	mode	PROPN
ijassa-1006	458	23	-	-	PUNCT
ijassa-1006	458	24	obl	obl	PROPN
ijassa-1006	458	25	moea	moea	NOUN
ijassa-1006	458	26	/	/	SYM
ijassa-1006	458	27	d	d	AUX
ijassa-1006	458	28	-	-	PUNCT
ijassa-1006	458	29	de	de	X
ijassa-1006	458	30	nsga	nsga	NOUN
ijassa-1006	458	31	-	-	PUNCT
ijassa-1006	458	32	ii	ii	PROPN
ijassa-1006	458	33	100	100	NUM
ijassa-1006	458	34	stocks	stock	NOUN
ijassa-1006	458	35	risk	risk	VERB
ijassa-1006	458	36	best	good	ADJ
ijassa-1006	458	37	avg	avg	NOUN
ijassa-1006	458	38	0.0281e-04(1.0019	0.0281e-04(1.0019	NUM
ijassa-1006	458	39	)	)	PUNCT
ijassa-1006	458	40	0.0742e-04(1.0093	0.0742e-04(1.0093	NUM
ijassa-1006	458	41	)	)	PUNCT
ijassa-1006	458	42	0.0697e-04(1.0017	0.0697e-04(1.0017	X
ijassa-1006	458	43	)	)	PUNCT
ijassa-1006	458	44	0.0665e-04(1.0087	0.0665e-04(1.0087	NUM
ijassa-1006	458	45	)	)	PUNCT
ijassa-1006	458	46	0.1351e-04(1.0016	0.1351e-04(1.0016	PROPN
ijassa-1006	458	47	)	)	PUNCT
ijassa-1006	458	48	0.6894e-04(1.0083	0.6894e-04(1.0083	PROPN
ijassa-1006	458	49	)	)	PUNCT
ijassa-1006	458	50	return	return	VERB
ijassa-1006	458	51	best	good	ADJ
ijassa-1006	458	52	avg	avg	NOUN
ijassa-1006	458	53	1.1056(2.0036e-04	1.1056(2.0036e-04	NUM
ijassa-1006	458	54	)	)	PUNCT
ijassa-1006	458	55	1.0093	1.0093	NUM
ijassa-1006	458	56	(	(	PUNCT
ijassa-1006	458	57	0.0742e-04	0.0742e-04	NUM
ijassa-1006	458	58	)	)	PUNCT
ijassa-1006	458	59	1.1036(2.004e-04	1.1036(2.004e-04	NUM
ijassa-1006	458	60	)	)	PUNCT
ijassa-1006	458	61	1.0087(0.0665e-04	1.0087(0.0665e-04	NUM
ijassa-1006	458	62	)	)	PUNCT
ijassa-1006	459	1	1.1036(2.004e-04	1.1036(2.004e-04	NUM
ijassa-1006	459	2	)	)	PUNCT
ijassa-1006	459	3	1.0083(0.0689e-04	1.0083(0.0689e-04	NUM
ijassa-1006	459	4	)	)	PUNCT
ijassa-1006	460	1	coefficient	coefficient	NOUN
ijassa-1006	460	2	of	of	ADP
ijassa-1006	460	3	variation	variation	NOUN
ijassa-1006	460	4	(	(	PUNCT
ijassa-1006	460	5	cv	cv	NOUN
ijassa-1006	460	6	)	)	PUNCT
ijassa-1006	460	7	best	well	ADV
ijassa-1006	460	8	worst	bad	ADJ
ijassa-1006	460	9	avg	avg	NOUN
ijassa-1006	460	10	6.7795e-03	6.7795e-03	NUM
ijassa-1006	460	11	1.4993e-02	1.4993e-02	NUM
ijassa-1006	460	12	1.1725e-02	1.1725e-02	NUM
ijassa-1006	460	13	2.5005e-01	2.5005e-01	NUM
ijassa-1006	460	14	2.9526e-01	2.9526e-01	NUM
ijassa-1006	460	15	2.7482e-01	2.7482e-01	NUM
ijassa-1006	460	16	5.2053e-01	5.2053e-01	NUM
ijassa-1006	460	17	5.6592e-01	5.6592e-01	NUM
ijassa-1006	460	18	5.4216e-01	5.4216e-01	NUM
ijassa-1006	460	19	spacing	space	VERB
ijassa-1006	460	20	metric	metric	ADJ
ijassa-1006	460	21	(	(	PUNCT
ijassa-1006	460	22	sp	sp	NOUN
ijassa-1006	460	23	)	)	PUNCT
ijassa-1006	460	24	best	well	ADV
ijassa-1006	460	25	worst	bad	ADJ
ijassa-1006	460	26	avg	avg	VERB
ijassa-1006	460	27	6.9662e-06	6.9662e-06	NUM
ijassa-1006	460	28	1.4376e-05	1.4376e-05	NUM
ijassa-1006	460	29	1.0603e-05	1.0603e-05	NUM
ijassa-1006	460	30	8.9935e-06	8.9935e-06	NUM
ijassa-1006	460	31	1.9869e-05	1.9869e-05	NUM
ijassa-1006	460	32	1.2816e-05	1.2816e-05	NUM
ijassa-1006	460	33	6.6883e-05	6.6883e-05	NUM
ijassa-1006	460	34	1.4525e-04	1.4525e-04	NUM
ijassa-1006	460	35	9.8367e-05	9.8367e-05	NUM
ijassa-1006	460	36	500	500	NUM
ijassa-1006	460	37	stocks	stock	NOUN
ijassa-1006	460	38	risk	risk	VERB
ijassa-1006	460	39	best	good	ADJ
ijassa-1006	460	40	avg	avg	NOUN
ijassa-1006	460	41	0.2107e-04(1.0023	0.2107e-04(1.0023	PROPN
ijassa-1006	460	42	)	)	PUNCT
ijassa-1006	460	43	0.4890e-04(1.0053	0.4890e-04(1.0053	NUM
ijassa-1006	460	44	)	)	PUNCT
ijassa-1006	460	45	0.1890e04(1.0025	0.1890e04(1.0025	ADJ
ijassa-1006	460	46	)	)	PUNCT
ijassa-1006	460	47	0.5156e-04(1.0057	0.5156e-04(1.0057	NOUN
ijassa-1006	460	48	)	)	PUNCT
ijassa-1006	460	49	0.3772e-04(1.0024	0.3772e-04(1.0024	NUM
ijassa-1006	460	50	)	)	PUNCT
ijassa-1006	460	51	0.6135e-04	0.6135e-04	X
ijassa-1006	461	1	(	(	PUNCT
ijassa-1006	461	2	1.0043	1.0043	NUM
ijassa-1006	461	3	)	)	PUNCT
ijassa-1006	461	4	return	return	VERB
ijassa-1006	461	5	best	good	ADJ
ijassa-1006	461	6	avg	avg	NOUN
ijassa-1006	461	7	1.0067(1.0956e-04	1.0067(1.0956e-04	NUM
ijassa-1006	461	8	)	)	PUNCT
ijassa-1006	461	9	1.0053(0.4890e-04	1.0053(0.4890e-04	NUM
ijassa-1006	461	10	)	)	PUNCT
ijassa-1006	461	11	1.0071(1.0253e-04	1.0071(1.0253e-04	NUM
ijassa-1006	461	12	)	)	PUNCT
ijassa-1006	461	13	1.0057(0.5156e-04	1.0057(0.5156e-04	NUM
ijassa-1006	461	14	)	)	PUNCT
ijassa-1006	461	15	1.0051(1.2715	1.0051(1.2715	NUM
ijassa-1006	461	16	e-04	e-04	NOUN
ijassa-1006	461	17	)	)	PUNCT
ijassa-1006	461	18	1.0043(0.6135e-04	1.0043(0.6135e-04	NUM
ijassa-1006	461	19	)	)	PUNCT
ijassa-1006	461	20	coefficient	coefficient	NOUN
ijassa-1006	461	21	of	of	ADP
ijassa-1006	461	22	variation	variation	NOUN
ijassa-1006	461	23	(	(	PUNCT
ijassa-1006	461	24	cv	cv	NOUN
ijassa-1006	461	25	)	)	PUNCT
ijassa-1006	461	26	best	well	ADV
ijassa-1006	461	27	worst	bad	ADJ
ijassa-1006	461	28	avg	avg	VERB
ijassa-1006	461	29	1.3851e-02	1.3851e-02	NUM
ijassa-1006	461	30	3.5104e-01	3.5104e-01	NUM
ijassa-1006	461	31	2.8757e-01	2.8757e-01	NUM
ijassa-1006	461	32	1.5036e-02	1.5036e-02	NUM
ijassa-1006	461	33	3.4263e-01	3.4263e-01	NUM
ijassa-1006	461	34	2.6981e-01	2.6981e-01	NUM
ijassa-1006	461	35	5.6942e-01	5.6942e-01	NUM
ijassa-1006	461	36	8.9172e-01	8.9172e-01	NUM
ijassa-1006	461	37	6.7819e-01	6.7819e-01	NUM
ijassa-1006	461	38	spacing	space	VERB
ijassa-1006	461	39	metric	metric	ADJ
ijassa-1006	461	40	(	(	PUNCT
ijassa-1006	461	41	sp	sp	NOUN
ijassa-1006	461	42	)	)	PUNCT
ijassa-1006	461	43	best	well	ADV
ijassa-1006	461	44	worst	bad	ADJ
ijassa-1006	461	45	avg	avg	NOUN
ijassa-1006	461	46	2.1776e-04	2.1776e-04	PROPN
ijassa-1006	461	47	2.5627e-04	2.5627e-04	NUM
ijassa-1006	461	48	2.3606e-04	2.3606e-04	NUM
ijassa-1006	461	49	1.4915e-04	1.4915e-04	NUM
ijassa-1006	461	50	5.1583e-04	5.1583e-04	NUM
ijassa-1006	461	51	2.7524e-04	2.7524e-04	NUM
ijassa-1006	461	52	1.3038e-02	1.3038e-02	NUM
ijassa-1006	461	53	4.1017e-02	4.1017e-02	NUM
ijassa-1006	461	54	2.9133e-02	2.9133e-02	NUM
ijassa-1006	461	55	174	174	NUM
ijassa-1006	461	56	n.	n.	NOUN
ijassa-1006	461	57	boukhari	boukhari	NOUN
ijassa-1006	461	58	,	,	PUNCT
ijassa-1006	461	59	m.	m.	NOUN
ijassa-1006	461	60	a.	a.	NOUN
ijassa-1006	461	61	nemmich	nemmich	PROPN
ijassa-1006	461	62	,	,	PUNCT
ijassa-1006	461	63	f.	f.	PROPN
ijassa-1006	461	64	debbat	debbat	PROPN
ijassa-1006	461	65	,	,	PUNCT
ijassa-1006	461	66	n.	n.	NOUN
ijassa-1006	461	67	monmarché	monmarché	NOUN
ijassa-1006	461	68	,	,	PUNCT
ijassa-1006	461	69	m.	m.	NOUN
ijassa-1006	461	70	slimane	slimane	PROPN
ijassa-1006	461	71	copyright	copyright	NOUN
ijassa-1006	462	1	©	©	PROPN
ijassa-1006	462	2	0000	0000	NUM
ijassa-1006	462	3	assa	assa	PROPN
ijassa-1006	462	4	adv	adv	PROPN
ijassa-1006	462	5	.	.	PUNCT
ijassa-1006	463	1	in	in	ADP
ijassa-1006	463	2	systems	system	NOUN
ijassa-1006	463	3	science	science	NOUN
ijassa-1006	463	4	and	and	CCONJ
ijassa-1006	463	5	appl	appl	NOUN
ijassa-1006	463	6	.	.	PUNCT
ijassa-1006	464	1	(	(	PUNCT
ijassa-1006	464	2	0000	0000	NUM
ijassa-1006	464	3	)	)	PUNCT
ijassa-1006	464	4	fig	fig	NOUN
ijassa-1006	464	5	6.1	6.1	NUM
ijassa-1006	464	6	pareto	pareto	NOUN
ijassa-1006	464	7	frontier	frontier	NOUN
ijassa-1006	464	8	generated	generate	VERB
ijassa-1006	464	9	of	of	ADP
ijassa-1006	464	10	100	100	NUM
ijassa-1006	464	11	stocks	stock	NOUN
ijassa-1006	464	12	problem	problem	NOUN
ijassa-1006	464	13	fig	fig	NOUN
ijassa-1006	464	14	.	.	PUNCT
ijassa-1006	465	1	6.2	6.2	NUM
ijassa-1006	465	2	.	.	PUNCT
ijassa-1006	465	3	pareto	pareto	ADJ
ijassa-1006	465	4	frontier	frontier	NOUN
ijassa-1006	465	5	generated	generate	VERB
ijassa-1006	465	6	of	of	ADP
ijassa-1006	465	7	500	500	NUM
ijassa-1006	465	8	stocks	stock	NOUN
ijassa-1006	465	9	problem	problem	NOUN
ijassa-1006	465	10	this	this	DET
ijassa-1006	465	11	work	work	NOUN
ijassa-1006	465	12	applied	apply	VERB
ijassa-1006	465	13	multi	multi	ADJ
ijassa-1006	465	14	-	-	ADJ
ijassa-1006	465	15	objective	objective	ADJ
ijassa-1006	465	16	differential	differential	ADJ
ijassa-1006	465	17	algorithm	algorithm	NOUN
ijassa-1006	465	18	based	base	VERB
ijassa-1006	465	19	ranking	rank	VERB
ijassa-1006	465	20	mutation	mutation	NOUN
ijassa-1006	465	21	combined	combine	VERB
ijassa-1006	465	22	with	with	ADP
ijassa-1006	465	23	opposition	opposition	NOUN
ijassa-1006	465	24	-	-	PUNCT
ijassa-1006	465	25	based	base	VERB
ijassa-1006	465	26	learning	learning	NOUN
ijassa-1006	465	27	to	to	PART
ijassa-1006	465	28	solve	solve	VERB
ijassa-1006	465	29	the	the	DET
ijassa-1006	465	30	large	large	ADJ
ijassa-1006	465	31	-	-	PUNCT
ijassa-1006	465	32	scale	scale	NOUN
ijassa-1006	465	33	portfolio	portfolio	NOUN
ijassa-1006	465	34	optimization	optimization	NOUN
ijassa-1006	465	35	problems	problem	NOUN
ijassa-1006	465	36	.	.	PUNCT
ijassa-1006	466	1	the	the	DET
ijassa-1006	466	2	experiments	experiment	NOUN
ijassa-1006	466	3	conducted	conduct	VERB
ijassa-1006	466	4	on	on	ADP
ijassa-1006	466	5	portfolio	portfolio	NOUN
ijassa-1006	466	6	optimization	optimization	NOUN
ijassa-1006	466	7	problems	problem	NOUN
ijassa-1006	466	8	with	with	ADP
ijassa-1006	466	9	100	100	NUM
ijassa-1006	466	10	and	and	CCONJ
ijassa-1006	466	11	500	500	NUM
ijassa-1006	466	12	stocks	stock	NOUN
ijassa-1006	466	13	show	show	VERB
ijassa-1006	466	14	that	that	SCONJ
ijassa-1006	466	15	the	the	DET
ijassa-1006	466	16	proposed	propose	VERB
ijassa-1006	466	17	algorithm	algorithm	NOUN
ijassa-1006	466	18	presented	present	VERB
ijassa-1006	466	19	a	a	DET
ijassa-1006	466	20	better	well	ADJ
ijassa-1006	466	21	performance	performance	NOUN
ijassa-1006	466	22	comparing	compare	VERB
ijassa-1006	466	23	with	with	ADP
ijassa-1006	466	24	other	other	ADJ
ijassa-1006	466	25	two	two	NUM
ijassa-1006	466	26	multi	multi	ADJ
ijassa-1006	466	27	-	-	ADJ
ijassa-1006	466	28	objective	objective	ADJ
ijassa-1006	466	29	evolutionary	evolutionary	ADJ
ijassa-1006	466	30	algorithms	algorithm	NOUN
ijassa-1006	466	31	and	and	CCONJ
ijassa-1006	466	32	was	be	AUX
ijassa-1006	466	33	a	a	DET
ijassa-1006	466	34	potential	potential	ADJ
ijassa-1006	466	35	solution	solution	NOUN
ijassa-1006	466	36	for	for	ADP
ijassa-1006	466	37	this	this	DET
ijassa-1006	466	38	kind	kind	NOUN
ijassa-1006	466	39	of	of	ADP
ijassa-1006	466	40	problems	problem	NOUN
ijassa-1006	466	41	.	.	PUNCT
ijassa-1006	467	1	7	7	X
ijassa-1006	467	2	.	.	X
ijassa-1006	467	3	conclusion	conclusion	NOUN
ijassa-1006	467	4	this	this	DET
ijassa-1006	467	5	paper	paper	NOUN
ijassa-1006	467	6	proposed	propose	VERB
ijassa-1006	467	7	a	a	DET
ijassa-1006	467	8	hybridized	hybridize	VERB
ijassa-1006	467	9	multi	multi	ADJ
ijassa-1006	467	10	-	-	ADJ
ijassa-1006	467	11	objective	objective	ADJ
ijassa-1006	467	12	differential	differential	ADJ
ijassa-1006	467	13	evolution	evolution	NOUN
ijassa-1006	467	14	variant	variant	NOUN
ijassa-1006	467	15	based	base	VERB
ijassa-1006	467	16	on	on	ADP
ijassa-1006	467	17	opposition	opposition	NOUN
ijassa-1006	467	18	-	-	PUNCT
ijassa-1006	467	19	based	base	VERB
ijassa-1006	467	20	learning	learning	NOUN
ijassa-1006	467	21	.	.	PUNCT
ijassa-1006	468	1	the	the	DET
ijassa-1006	468	2	proposed	propose	VERB
ijassa-1006	468	3	algorithm	algorithm	NOUN
ijassa-1006	468	4	mode	mode	PROPN
ijassa-1006	468	5	-	-	PUNCT
ijassa-1006	468	6	obl	obl	PROPN
ijassa-1006	468	7	inherited	inherit	VERB
ijassa-1006	468	8	two	two	NUM
ijassa-1006	468	9	operators	operator	NOUN
ijassa-1006	468	10	from	from	ADP
ijassa-1006	468	11	the	the	DET
ijassa-1006	468	12	original	original	ADJ
ijassa-1006	468	13	mode	mode	NOUN
ijassa-1006	468	14	:	:	PUNCT
ijassa-1006	468	15	selection	selection	NOUN
ijassa-1006	468	16	count	count	NOUN
ijassa-1006	468	17	dominance	dominance	NOUN
ijassa-1006	468	18	and	and	CCONJ
ijassa-1006	468	19	crowding	crowd	VERB
ijassa-1006	468	20	distance	distance	NOUN
ijassa-1006	468	21	.	.	PUNCT
ijassa-1006	469	1	ranking	rank	VERB
ijassa-1006	469	2	based	base	VERB
ijassa-1006	469	3	mutation	mutation	NOUN
ijassa-1006	469	4	from	from	ADP
ijassa-1006	469	5	mode	mode	PROPN
ijassa-1006	469	6	-	-	PUNCT
ijassa-1006	469	7	rmo	rmo	PROPN
ijassa-1006	469	8	is	be	AUX
ijassa-1006	469	9	used	use	VERB
ijassa-1006	469	10	to	to	PART
ijassa-1006	469	11	accelerate	accelerate	VERB
ijassa-1006	469	12	the	the	DET
ijassa-1006	469	13	convergence	convergence	NOUN
ijassa-1006	469	14	rate	rate	NOUN
ijassa-1006	469	15	,	,	PUNCT
ijassa-1006	469	16	then	then	ADV
ijassa-1006	469	17	a	a	DET
ijassa-1006	469	18	new	new	ADJ
ijassa-1006	469	19	generated	generate	VERB
ijassa-1006	469	20	population	population	NOUN
ijassa-1006	469	21	passed	pass	VERB
ijassa-1006	469	22	to	to	ADP
ijassa-1006	469	23	the	the	DET
ijassa-1006	469	24	second	second	ADJ
ijassa-1006	469	25	stage	stage	NOUN
ijassa-1006	469	26	in	in	ADP
ijassa-1006	469	27	order	order	NOUN
ijassa-1006	469	28	to	to	PART
ijassa-1006	469	29	maintain	maintain	VERB
ijassa-1006	469	30	diversity	diversity	NOUN
ijassa-1006	469	31	of	of	ADP
ijassa-1006	469	32	solution	solution	NOUN
ijassa-1006	469	33	by	by	ADP
ijassa-1006	469	34	the	the	DET
ijassa-1006	469	35	opposition	opposition	NOUN
ijassa-1006	469	36	-	-	PUNCT
ijassa-1006	469	37	based	base	VERB
ijassa-1006	469	38	learning	learning	NOUN
ijassa-1006	469	39	technique	technique	NOUN
ijassa-1006	469	40	.	.	PUNCT
ijassa-1006	470	1	experiments	experiment	NOUN
ijassa-1006	470	2	on	on	ADP
ijassa-1006	470	3	mathematical	mathematical	ADJ
ijassa-1006	470	4	benchmark	benchmark	NOUN
ijassa-1006	470	5	functions	function	NOUN
ijassa-1006	470	6	and	and	CCONJ
ijassa-1006	470	7	financial	financial	ADJ
ijassa-1006	470	8	portfolio	portfolio	NOUN
ijassa-1006	470	9	optimization	optimization	NOUN
ijassa-1006	470	10	problem	problem	NOUN
ijassa-1006	470	11	were	be	AUX
ijassa-1006	470	12	performed	perform	VERB
ijassa-1006	470	13	to	to	PART
ijassa-1006	470	14	make	make	VERB
ijassa-1006	470	15	an	an	DET
ijassa-1006	470	16	extensive	extensive	ADJ
ijassa-1006	470	17	comparison	comparison	NOUN
ijassa-1006	470	18	of	of	ADP
ijassa-1006	470	19	mode	mode	NOUN
ijassa-1006	470	20	-	-	PUNCT
ijassa-1006	470	21	obl	obl	PROPN
ijassa-1006	470	22	with	with	ADP
ijassa-1006	470	23	a	a	DET
ijassa-1006	470	24	series	series	NOUN
ijassa-1006	470	25	of	of	ADP
ijassa-1006	470	26	multi	multi	ADJ
ijassa-1006	470	27	-	-	ADJ
ijassa-1006	470	28	objective	objective	ADJ
ijassa-1006	470	29	algorithms	algorithm	NOUN
ijassa-1006	470	30	and	and	CCONJ
ijassa-1006	470	31	mode	mode	NOUN
ijassa-1006	470	32	-	-	PUNCT
ijassa-1006	470	33	obl	obl	PROPN
ijassa-1006	470	34	was	be	AUX
ijassa-1006	470	35	considered	consider	VERB
ijassa-1006	470	36	to	to	PART
ijassa-1006	470	37	be	be	AUX
ijassa-1006	470	38	competitive	competitive	ADJ
ijassa-1006	470	39	with	with	ADP
ijassa-1006	470	40	other	other	ADJ
ijassa-1006	470	41	methods	method	NOUN
ijassa-1006	470	42	.	.	PUNCT
ijassa-1006	471	1	however	however	ADV
ijassa-1006	471	2	,	,	PUNCT
ijassa-1006	471	3	there	there	PRON
ijassa-1006	471	4	is	be	VERB
ijassa-1006	471	5	still	still	ADV
ijassa-1006	471	6	a	a	DET
ijassa-1006	471	7	lot	lot	NOUN
ijassa-1006	471	8	of	of	ADP
ijassa-1006	471	9	room	room	NOUN
ijassa-1006	471	10	for	for	ADP
ijassa-1006	471	11	improvement	improvement	NOUN
ijassa-1006	471	12	in	in	ADP
ijassa-1006	471	13	the	the	DET
ijassa-1006	471	14	improvement	improvement	NOUN
ijassa-1006	471	15	aspect	aspect	NOUN
ijassa-1006	471	16	of	of	ADP
ijassa-1006	471	17	mode	mode	NOUN
ijassa-1006	471	18	,	,	PUNCT
ijassa-1006	471	19	and	and	CCONJ
ijassa-1006	471	20	this	this	DET
ijassa-1006	471	21	paper	paper	NOUN
ijassa-1006	471	22	aims	aim	VERB
ijassa-1006	471	23	to	to	PART
ijassa-1006	471	24	explore	explore	VERB
ijassa-1006	471	25	feasible	feasible	ADJ
ijassa-1006	471	26	ways	way	NOUN
ijassa-1006	471	27	to	to	PART
ijassa-1006	471	28	improve	improve	VERB
ijassa-1006	471	29	the	the	DET
ijassa-1006	471	30	basic	basic	ADJ
ijassa-1006	471	31	mode	mode	NOUN
ijassa-1006	471	32	algorithm	algorithm	NOUN
ijassa-1006	471	33	to	to	PART
ijassa-1006	471	34	handle	handle	VERB
ijassa-1006	471	35	a	a	DET
ijassa-1006	471	36	wide	wide	ADJ
ijassa-1006	471	37	range	range	NOUN
ijassa-1006	471	38	of	of	ADP
ijassa-1006	471	39	mop	mop	PROPN
ijassa-1006	471	40	.	.	PUNCT
ijassa-1006	472	1	future	future	ADJ
ijassa-1006	472	2	research	research	NOUN
ijassa-1006	472	3	will	will	AUX
ijassa-1006	472	4	be	be	AUX
ijassa-1006	472	5	directed	direct	VERB
ijassa-1006	472	6	to	to	ADP
ijassa-1006	472	7	applying	apply	VERB
ijassa-1006	472	8	others	other	NOUN
ijassa-1006	472	9	selection	selection	NOUN
ijassa-1006	472	10	techniques	technique	NOUN
ijassa-1006	472	11	and	and	CCONJ
ijassa-1006	472	12	verifying	verify	VERB
ijassa-1006	472	13	the	the	DET
ijassa-1006	472	14	mode	mode	NOUN
ijassa-1006	472	15	-	-	PUNCT
ijassa-1006	472	16	obl	obl	PROPN
ijassa-1006	472	17	on	on	ADP
ijassa-1006	472	18	more	more	ADJ
ijassa-1006	472	19	real	real	ADJ
ijassa-1006	472	20	-	-	PUNCT
ijassa-1006	472	21	world	world	NOUN
ijassa-1006	472	22	problems	problem	NOUN
ijassa-1006	472	23	such	such	ADJ
ijassa-1006	472	24	as	as	ADP
ijassa-1006	472	25	telecommunication	telecommunication	NOUN
ijassa-1006	472	26	network	network	NOUN
ijassa-1006	472	27	design	design	NOUN
ijassa-1006	472	28	.	.	PUNCT
ijassa-1006	473	1	a	a	DET
ijassa-1006	473	2	novel	novel	ADJ
ijassa-1006	473	3	two	two	NUM
ijassa-1006	473	4	-	-	PUNCT
ijassa-1006	473	5	stage	stage	NOUN
ijassa-1006	473	6	hybrid	hybrid	ADJ
ijassa-1006	473	7	multi	multi	ADJ
ijassa-1006	473	8	-	-	ADJ
ijassa-1006	473	9	objective	objective	ADJ
ijassa-1006	473	10	differential	differential	ADJ
ijassa-1006	473	11	evolution	evolution	NOUN
ijassa-1006	473	12	…	…	PUNCT
ijassa-1006	473	13	175	175	NUM
ijassa-1006	473	14	copyright	copyright	NOUN
ijassa-1006	473	15	©	©	PROPN
ijassa-1006	473	16	2023	2023	NUM
ijassa-1006	473	17	assa	assa	NOUN
ijassa-1006	473	18	.	.	PUNCT
ijassa-1006	474	1	adv	adv	PROPN
ijassa-1006	474	2	.	.	PUNCT
ijassa-1006	475	1	in	in	ADP
ijassa-1006	475	2	systems	system	NOUN
ijassa-1006	475	3	science	science	NOUN
ijassa-1006	475	4	and	and	CCONJ
ijassa-1006	475	5	appl	appl	NOUN
ijassa-1006	475	6	.	.	PUNCT
ijassa-1006	476	1	(	(	PUNCT
ijassa-1006	476	2	2023	2023	NUM
ijassa-1006	476	3	)	)	PUNCT
ijassa-1006	476	4	references	reference	NOUN
ijassa-1006	476	5	1	1	NUM
ijassa-1006	476	6	.	.	PUNCT
ijassa-1006	477	1	abbass	abbass	PROPN
ijassa-1006	477	2	,	,	PUNCT
ijassa-1006	477	3	h.	h.	PROPN
ijassa-1006	477	4	a.	a.	PROPN
ijassa-1006	477	5	,	,	PUNCT
ijassa-1006	477	6	sarker	sarker	PROPN
ijassa-1006	477	7	,	,	PUNCT
ijassa-1006	477	8	r.	r.	PROPN
ijassa-1006	477	9	,	,	PUNCT
ijassa-1006	477	10	&	&	CCONJ
ijassa-1006	477	11	newton	newton	PROPN
ijassa-1006	477	12	,	,	PUNCT
ijassa-1006	477	13	c.	c.	PROPN
ijassa-1006	477	14	(	(	PUNCT
ijassa-1006	477	15	2001	2001	NUM
ijassa-1006	477	16	)	)	PUNCT
ijassa-1006	477	17	.	.	PUNCT
ijassa-1006	478	1	pde	pde	NOUN
ijassa-1006	478	2	:	:	PUNCT
ijassa-1006	478	3	a	a	DET
ijassa-1006	478	4	pareto	pareto	VERB
ijassa-1006	478	5	-	-	PUNCT
ijassa-1006	478	6	frontier	frontier	NOUN
ijassa-1006	478	7	differential	differential	NOUN
ijassa-1006	478	8	evolution	evolution	NOUN
ijassa-1006	478	9	approach	approach	NOUN
ijassa-1006	478	10	for	for	ADP
ijassa-1006	478	11	multi	multi	ADJ
ijassa-1006	478	12	-	-	ADJ
ijassa-1006	478	13	objective	objective	ADJ
ijassa-1006	478	14	optimization	optimization	NOUN
ijassa-1006	478	15	problems	problem	NOUN
ijassa-1006	478	16	,	,	PUNCT
ijassa-1006	478	17	proc	proc	NOUN
ijassa-1006	478	18	.	.	PUNCT
ijassa-1006	479	1	of	of	ADP
ijassa-1006	479	2	the	the	DET
ijassa-1006	479	3	ieee	ieee	NOUN
ijassa-1006	479	4	conference	conference	NOUN
ijassa-1006	479	5	on	on	ADP
ijassa-1006	479	6	evolutionary	evolutionary	ADJ
ijassa-1006	479	7	computation	computation	NOUN
ijassa-1006	479	8	(	(	PUNCT
ijassa-1006	479	9	icec	icec	PROPN
ijassa-1006	479	10	)	)	PUNCT
ijassa-1006	479	11	(	(	PUNCT
ijassa-1006	479	12	chicago	chicago	PROPN
ijassa-1006	479	13	,	,	PUNCT
ijassa-1006	479	14	il	il	PROPN
ijassa-1006	479	15	)	)	PUNCT
ijassa-1006	479	16	.	.	PUNCT
ijassa-1006	480	1	2	2	X
ijassa-1006	480	2	.	.	X
ijassa-1006	480	3	ahandani	ahandani	PROPN
ijassa-1006	480	4	,	,	PUNCT
ijassa-1006	480	5	m.	m.	NOUN
ijassa-1006	480	6	a.	a.	PROPN
ijassa-1006	480	7	,	,	PUNCT
ijassa-1006	480	8	&	&	CCONJ
ijassa-1006	480	9	alavi	alavi	PROPN
ijassa-1006	480	10	-	-	PUNCT
ijassa-1006	480	11	rad	rad	PROPN
ijassa-1006	480	12	,	,	PUNCT
ijassa-1006	480	13	h.	h.	PROPN
ijassa-1006	480	14	(	(	PUNCT
ijassa-1006	480	15	2012	2012	NUM
ijassa-1006	480	16	)	)	PUNCT
ijassa-1006	480	17	.	.	PUNCT
ijassa-1006	481	1	opposition	opposition	NOUN
ijassa-1006	481	2	-	-	PUNCT
ijassa-1006	481	3	based	base	VERB
ijassa-1006	481	4	learning	learning	NOUN
ijassa-1006	481	5	in	in	ADP
ijassa-1006	481	6	the	the	DET
ijassa-1006	481	7	shuffled	shuffle	VERB
ijassa-1006	481	8	differential	differential	ADJ
ijassa-1006	481	9	evolution	evolution	NOUN
ijassa-1006	481	10	algorithm	algorithm	NOUN
ijassa-1006	481	11	,	,	PUNCT
ijassa-1006	481	12	soft	soft	ADJ
ijassa-1006	481	13	computing	computing	NOUN
ijassa-1006	481	14	,	,	PUNCT
ijassa-1006	481	15	16	16	NUM
ijassa-1006	481	16	,	,	PUNCT
ijassa-1006	481	17	1303–1337	1303–1337	NUM
ijassa-1006	481	18	.	.	PUNCT
ijassa-1006	482	1	3	3	X
ijassa-1006	482	2	.	.	X
ijassa-1006	482	3	ali	ali	PROPN
ijassa-1006	482	4	,	,	PUNCT
ijassa-1006	482	5	m.	m.	NOUN
ijassa-1006	482	6	m.	m.	NOUN
ijassa-1006	482	7	(	(	PUNCT
ijassa-1006	482	8	2011	2011	NUM
ijassa-1006	482	9	)	)	PUNCT
ijassa-1006	482	10	.	.	PUNCT
ijassa-1006	483	1	differential	differential	ADJ
ijassa-1006	483	2	evolution	evolution	NOUN
ijassa-1006	483	3	with	with	ADP
ijassa-1006	483	4	generalized	generalized	ADJ
ijassa-1006	483	5	differentials	differential	NOUN
ijassa-1006	483	6	,	,	PUNCT
ijassa-1006	483	7	journal	journal	NOUN
ijassa-1006	483	8	of	of	ADP
ijassa-1006	483	9	computational	computational	ADJ
ijassa-1006	483	10	and	and	CCONJ
ijassa-1006	483	11	applied	applied	ADJ
ijassa-1006	483	12	mathematics	mathematic	NOUN
ijassa-1006	483	13	,	,	PUNCT
ijassa-1006	483	14	235(8	235(8	NUM
ijassa-1006	483	15	)	)	PUNCT
ijassa-1006	483	16	,	,	PUNCT
ijassa-1006	483	17	2205–2216	2205–2216	NUM
ijassa-1006	483	18	.	.	PUNCT
ijassa-1006	484	1	4	4	NUM
ijassa-1006	484	2	.	.	X
ijassa-1006	484	3	ali	ali	PROPN
ijassa-1006	484	4	,	,	PUNCT
ijassa-1006	484	5	m.	m.	NOUN
ijassa-1006	484	6	,	,	PUNCT
ijassa-1006	484	7	siarry	siarry	NOUN
ijassa-1006	484	8	,	,	PUNCT
ijassa-1006	484	9	p.	p.	NOUN
ijassa-1006	484	10	,	,	PUNCT
ijassa-1006	484	11	&	&	CCONJ
ijassa-1006	484	12	pant	pant	NOUN
ijassa-1006	484	13	,	,	PUNCT
ijassa-1006	484	14	m.	m.	NOUN
ijassa-1006	484	15	(	(	PUNCT
ijassa-1006	484	16	2012	2012	NUM
ijassa-1006	484	17	)	)	PUNCT
ijassa-1006	484	18	.	.	PUNCT
ijassa-1006	485	1	an	an	DET
ijassa-1006	485	2	efficient	efficient	ADJ
ijassa-1006	485	3	differential	differential	NOUN
ijassa-1006	485	4	evolution	evolution	NOUN
ijassa-1006	485	5	based	base	VERB
ijassa-1006	485	6	algorithm	algorithm	NOUN
ijassa-1006	485	7	for	for	ADP
ijassa-1006	485	8	solving	solve	VERB
ijassa-1006	485	9	multi	multi	ADJ
ijassa-1006	485	10	-	-	ADJ
ijassa-1006	485	11	objective	objective	ADJ
ijassa-1006	485	12	optimization	optimization	NOUN
ijassa-1006	485	13	problems	problem	NOUN
ijassa-1006	485	14	,	,	PUNCT
ijassa-1006	485	15	european	european	PROPN
ijassa-1006	485	16	journal	journal	PROPN
ijassa-1006	485	17	of	of	ADP
ijassa-1006	485	18	operational	operational	ADJ
ijassa-1006	485	19	research	research	NOUN
ijassa-1006	485	20	,	,	PUNCT
ijassa-1006	485	21	217(2	217(2	NUM
ijassa-1006	485	22	)	)	PUNCT
ijassa-1006	485	23	,	,	PUNCT
ijassa-1006	485	24	404–416	404–416	NUM
ijassa-1006	485	25	.	.	NOUN
ijassa-1006	485	26	5	5	NUM
ijassa-1006	485	27	.	.	X
ijassa-1006	485	28	angira	angira	PROPN
ijassa-1006	485	29	,	,	PUNCT
ijassa-1006	485	30	r.	r.	PROPN
ijassa-1006	485	31	,	,	PUNCT
ijassa-1006	485	32	&	&	CCONJ
ijassa-1006	485	33	babu	babu	PROPN
ijassa-1006	485	34	,	,	PUNCT
ijassa-1006	485	35	b.	b.	PROPN
ijassa-1006	485	36	v.	v.	PROPN
ijassa-1006	485	37	(	(	PUNCT
ijassa-1006	485	38	2005	2005	NUM
ijassa-1006	485	39	)	)	PUNCT
ijassa-1006	485	40	.	.	PUNCT
ijassa-1006	486	1	non	non	ADJ
ijassa-1006	486	2	-	-	ADJ
ijassa-1006	486	3	dominated	dominated	ADJ
ijassa-1006	486	4	sorting	sorting	NOUN
ijassa-1006	486	5	differential	differential	ADJ
ijassa-1006	486	6	evolution	evolution	NOUN
ijassa-1006	486	7	(	(	PUNCT
ijassa-1006	486	8	nsde	nsde	PROPN
ijassa-1006	486	9	):	):	PUNCT
ijassa-1006	486	10	an	an	DET
ijassa-1006	486	11	extension	extension	NOUN
ijassa-1006	486	12	of	of	ADP
ijassa-1006	486	13	differential	differential	ADJ
ijassa-1006	486	14	evolution	evolution	NOUN
ijassa-1006	486	15	for	for	ADP
ijassa-1006	486	16	multi	multi	ADJ
ijassa-1006	486	17	-	-	ADJ
ijassa-1006	486	18	objective	objective	ADJ
ijassa-1006	486	19	optimization	optimization	NOUN
ijassa-1006	486	20	,	,	PUNCT
ijassa-1006	486	21	proc	proc	NOUN
ijassa-1006	486	22	.	.	PUNCT
ijassa-1006	486	23	of	of	ADP
ijassa-1006	486	24	the	the	DET
ijassa-1006	486	25	2nd	2nd	PROPN
ijassa-1006	486	26	indian	indian	PROPN
ijassa-1006	486	27	international	international	ADJ
ijassa-1006	486	28	conference	conference	NOUN
ijassa-1006	486	29	on	on	ADP
ijassa-1006	486	30	artificial	artificial	ADJ
ijassa-1006	486	31	intelligence	intelligence	NOUN
ijassa-1006	486	32	(	(	PUNCT
ijassa-1006	486	33	iicai	iicai	NOUN
ijassa-1006	486	34	)	)	PUNCT
ijassa-1006	486	35	(	(	PUNCT
ijassa-1006	486	36	tumkur	tumkur	PROPN
ijassa-1006	486	37	,	,	PUNCT
ijassa-1006	486	38	karnataka	karnataka	PROPN
ijassa-1006	486	39	,	,	PUNCT
ijassa-1006	486	40	india	india	PROPN
ijassa-1006	486	41	)	)	PUNCT
ijassa-1006	486	42	.	.	PUNCT
ijassa-1006	487	1	6	6	X
ijassa-1006	487	2	.	.	X
ijassa-1006	487	3	baatar	baatar	NOUN
ijassa-1006	487	4	,	,	PUNCT
ijassa-1006	487	5	n.	n.	PROPN
ijassa-1006	487	6	,	,	PUNCT
ijassa-1006	487	7	jeong	jeong	PROPN
ijassa-1006	487	8	,	,	PUNCT
ijassa-1006	487	9	k.	k.	PROPN
ijassa-1006	487	10	y.	y.	PROPN
ijassa-1006	487	11	,	,	PUNCT
ijassa-1006	487	12	&	&	CCONJ
ijassa-1006	487	13	koh	koh	PROPN
ijassa-1006	487	14	,	,	PUNCT
ijassa-1006	487	15	c.	c.	PROPN
ijassa-1006	487	16	s.	s.	PROPN
ijassa-1006	487	17	(	(	PUNCT
ijassa-1006	487	18	2014	2014	NUM
ijassa-1006	487	19	)	)	PUNCT
ijassa-1006	487	20	.	.	PUNCT
ijassa-1006	488	1	adaptive	adaptive	ADJ
ijassa-1006	488	2	parameter	parameter	NOUN
ijassa-1006	488	3	controlling	control	VERB
ijassa-1006	488	4	nondominated	nondominate	VERB
ijassa-1006	488	5	ranking	ranking	ADJ
ijassa-1006	488	6	differential	differential	ADJ
ijassa-1006	488	7	evolution	evolution	NOUN
ijassa-1006	488	8	for	for	ADP
ijassa-1006	488	9	multi	multi	ADJ
ijassa-1006	488	10	-	-	ADJ
ijassa-1006	488	11	objective	objective	ADJ
ijassa-1006	488	12	optimization	optimization	NOUN
ijassa-1006	488	13	of	of	ADP
ijassa-1006	488	14	electromagnetic	electromagnetic	ADJ
ijassa-1006	488	15	problems	problem	NOUN
ijassa-1006	488	16	,	,	PUNCT
ijassa-1006	488	17	ieee	ieee	NOUN
ijassa-1006	488	18	transactions	transaction	NOUN
ijassa-1006	488	19	on	on	ADP
ijassa-1006	488	20	magnetics	magnetic	NOUN
ijassa-1006	488	21	,	,	PUNCT
ijassa-1006	488	22	50(2	50(2	NUM
ijassa-1006	488	23	)	)	PUNCT
ijassa-1006	488	24	,	,	PUNCT
ijassa-1006	488	25	709–712	709–712	NUM
ijassa-1006	488	26	.	.	NOUN
ijassa-1006	489	1	7	7	X
ijassa-1006	489	2	.	.	X
ijassa-1006	489	3	bandyopadhyay	bandyopadhyay	NOUN
ijassa-1006	489	4	,	,	PUNCT
ijassa-1006	489	5	s.	s.	PROPN
ijassa-1006	489	6	,	,	PUNCT
ijassa-1006	489	7	&	&	CCONJ
ijassa-1006	489	8	mukherjee	mukherjee	PROPN
ijassa-1006	489	9	,	,	PUNCT
ijassa-1006	489	10	a.	a.	NOUN
ijassa-1006	489	11	(	(	PUNCT
ijassa-1006	489	12	2015	2015	NUM
ijassa-1006	489	13	)	)	PUNCT
ijassa-1006	489	14	.	.	PUNCT
ijassa-1006	490	1	an	an	DET
ijassa-1006	490	2	algorithm	algorithm	NOUN
ijassa-1006	490	3	for	for	ADP
ijassa-1006	490	4	many	many	ADJ
ijassa-1006	490	5	-	-	PUNCT
ijassa-1006	490	6	objective	objective	ADJ
ijassa-1006	490	7	optimization	optimization	NOUN
ijassa-1006	490	8	with	with	ADP
ijassa-1006	490	9	reduced	reduce	VERB
ijassa-1006	490	10	objective	objective	ADJ
ijassa-1006	490	11	computations	computation	NOUN
ijassa-1006	490	12	:	:	PUNCT
ijassa-1006	490	13	a	a	DET
ijassa-1006	490	14	study	study	NOUN
ijassa-1006	490	15	in	in	ADP
ijassa-1006	490	16	differential	differential	ADJ
ijassa-1006	490	17	evolution	evolution	NOUN
ijassa-1006	490	18	,	,	PUNCT
ijassa-1006	490	19	ieee	ieee	NOUN
ijassa-1006	490	20	transactions	transaction	NOUN
ijassa-1006	490	21	on	on	ADP
ijassa-1006	490	22	evolutionary	evolutionary	ADJ
ijassa-1006	490	23	computation	computation	NOUN
ijassa-1006	490	24	,	,	PUNCT
ijassa-1006	490	25	19(3	19(3	NUM
ijassa-1006	490	26	)	)	PUNCT
ijassa-1006	490	27	,	,	PUNCT
ijassa-1006	490	28	400–413	400–413	NUM
ijassa-1006	490	29	.	.	NOUN
ijassa-1006	490	30	8	8	NUM
ijassa-1006	490	31	.	.	X
ijassa-1006	490	32	beume	beume	PROPN
ijassa-1006	490	33	,	,	PUNCT
ijassa-1006	490	34	n.	n.	NOUN
ijassa-1006	490	35	,	,	PUNCT
ijassa-1006	490	36	naujoks	naujok	NOUN
ijassa-1006	490	37	,	,	PUNCT
ijassa-1006	490	38	b.	b.	PROPN
ijassa-1006	490	39	,	,	PUNCT
ijassa-1006	490	40	&	&	CCONJ
ijassa-1006	490	41	emmerich	emmerich	PROPN
ijassa-1006	490	42	,	,	PUNCT
ijassa-1006	490	43	m.	m.	NOUN
ijassa-1006	490	44	(	(	PUNCT
ijassa-1006	490	45	2007	2007	NUM
ijassa-1006	490	46	)	)	PUNCT
ijassa-1006	490	47	.	.	PUNCT
ijassa-1006	491	1	sms	sms	PROPN
ijassa-1006	491	2	-	-	PUNCT
ijassa-1006	491	3	emoa	emoa	PROPN
ijassa-1006	491	4	:	:	PUNCT
ijassa-1006	491	5	multiobjective	multiobjective	ADJ
ijassa-1006	491	6	selection	selection	NOUN
ijassa-1006	491	7	based	base	VERB
ijassa-1006	491	8	on	on	ADP
ijassa-1006	491	9	dominated	dominate	VERB
ijassa-1006	491	10	hypervolume	hypervolume	NOUN
ijassa-1006	491	11	,	,	PUNCT
ijassa-1006	491	12	european	european	ADJ
ijassa-1006	491	13	journal	journal	PROPN
ijassa-1006	491	14	of	of	ADP
ijassa-1006	491	15	operational	operational	ADJ
ijassa-1006	491	16	research	research	NOUN
ijassa-1006	491	17	,	,	PUNCT
ijassa-1006	491	18	181(3	181(3	NUM
ijassa-1006	491	19	)	)	PUNCT
ijassa-1006	491	20	,	,	PUNCT
ijassa-1006	491	21	1653–1669	1653–1669	NUM
ijassa-1006	491	22	.	.	NOUN
ijassa-1006	491	23	9	9	NUM
ijassa-1006	491	24	.	.	X
ijassa-1006	491	25	caponio	caponio	NOUN
ijassa-1006	491	26	,	,	PUNCT
ijassa-1006	491	27	a.	a.	NOUN
ijassa-1006	491	28	,	,	PUNCT
ijassa-1006	491	29	neri	neri	PROPN
ijassa-1006	491	30	,	,	PUNCT
ijassa-1006	491	31	f.	f.	PROPN
ijassa-1006	491	32	,	,	PUNCT
ijassa-1006	491	33	&	&	CCONJ
ijassa-1006	491	34	tirronen	tirronen	PROPN
ijassa-1006	491	35	,	,	PUNCT
ijassa-1006	491	36	v.	v.	PROPN
ijassa-1006	491	37	(	(	PUNCT
ijassa-1006	491	38	2009	2009	NUM
ijassa-1006	491	39	)	)	PUNCT
ijassa-1006	491	40	.	.	PUNCT
ijassa-1006	492	1	super	super	ADJ
ijassa-1006	492	2	-	-	ADJ
ijassa-1006	492	3	fit	fit	ADJ
ijassa-1006	492	4	control	control	NOUN
ijassa-1006	492	5	adaptation	adaptation	NOUN
ijassa-1006	492	6	in	in	ADP
ijassa-1006	492	7	memetic	memetic	ADJ
ijassa-1006	492	8	differential	differential	ADJ
ijassa-1006	492	9	evolution	evolution	NOUN
ijassa-1006	492	10	frameworks	framework	NOUN
ijassa-1006	492	11	,	,	PUNCT
ijassa-1006	492	12	soft	soft	ADJ
ijassa-1006	492	13	computing	computing	NOUN
ijassa-1006	492	14	,	,	PUNCT
ijassa-1006	492	15	13	13	NUM
ijassa-1006	492	16	,	,	PUNCT
ijassa-1006	492	17	811–831	811–831	NUM
ijassa-1006	492	18	.	.	PROPN
ijassa-1006	493	1	10	10	NUM
ijassa-1006	493	2	.	.	PUNCT
ijassa-1006	494	1	chen	chen	PROPN
ijassa-1006	494	2	,	,	PUNCT
ijassa-1006	494	3	x.	x.	PROPN
ijassa-1006	494	4	,	,	PUNCT
ijassa-1006	494	5	du	du	PROPN
ijassa-1006	494	6	,	,	PUNCT
ijassa-1006	494	7	w.	w.	PROPN
ijassa-1006	494	8	,	,	PUNCT
ijassa-1006	494	9	&	&	CCONJ
ijassa-1006	494	10	qian	qian	PROPN
ijassa-1006	494	11	,	,	PUNCT
ijassa-1006	494	12	f.	f.	PROPN
ijassa-1006	494	13	(	(	PUNCT
ijassa-1006	494	14	2014	2014	NUM
ijassa-1006	494	15	)	)	PUNCT
ijassa-1006	494	16	.	.	PUNCT
ijassa-1006	495	1	multi	multi	ADJ
ijassa-1006	495	2	-	-	ADJ
ijassa-1006	495	3	objective	objective	ADJ
ijassa-1006	495	4	differential	differential	ADJ
ijassa-1006	495	5	evolution	evolution	NOUN
ijassa-1006	495	6	with	with	ADP
ijassa-1006	495	7	ranking	ranking	NOUN
ijassa-1006	495	8	-	-	PUNCT
ijassa-1006	495	9	based	base	VERB
ijassa-1006	495	10	mutation	mutation	NOUN
ijassa-1006	495	11	operator	operator	NOUN
ijassa-1006	495	12	and	and	CCONJ
ijassa-1006	495	13	its	its	PRON
ijassa-1006	495	14	application	application	NOUN
ijassa-1006	495	15	in	in	ADP
ijassa-1006	495	16	chemical	chemical	NOUN
ijassa-1006	495	17	process	process	NOUN
ijassa-1006	495	18	optimization	optimization	NOUN
ijassa-1006	495	19	,	,	PUNCT
ijassa-1006	495	20	chemometrics	chemometric	NOUN
ijassa-1006	495	21	and	and	CCONJ
ijassa-1006	495	22	intelligent	intelligent	ADJ
ijassa-1006	495	23	laboratory	laboratory	NOUN
ijassa-1006	495	24	systems	system	NOUN
ijassa-1006	495	25	,	,	PUNCT
ijassa-1006	495	26	136	136	NUM
ijassa-1006	495	27	,	,	PUNCT
ijassa-1006	495	28	85–96	85–96	NUM
ijassa-1006	495	29	.	.	PUNCT
ijassa-1006	496	1	11	11	NUM
ijassa-1006	496	2	.	.	X
ijassa-1006	497	1	coello	coello	PROPN
ijassa-1006	497	2	,	,	PUNCT
ijassa-1006	497	3	c.	c.	PROPN
ijassa-1006	497	4	a.	a.	PROPN
ijassa-1006	497	5	c.	c.	PROPN
ijassa-1006	497	6	,	,	PUNCT
ijassa-1006	497	7	&	&	CCONJ
ijassa-1006	497	8	cortés	cortés	PROPN
ijassa-1006	497	9	,	,	PUNCT
ijassa-1006	497	10	n.	n.	PROPN
ijassa-1006	497	11	c.	c.	PROPN
ijassa-1006	497	12	(	(	PUNCT
ijassa-1006	497	13	2005	2005	NUM
ijassa-1006	497	14	)	)	PUNCT
ijassa-1006	497	15	.	.	PUNCT
ijassa-1006	498	1	solving	solve	VERB
ijassa-1006	498	2	multiobjective	multiobjective	ADJ
ijassa-1006	498	3	optimization	optimization	NOUN
ijassa-1006	498	4	problems	problem	NOUN
ijassa-1006	498	5	using	use	VERB
ijassa-1006	498	6	an	an	DET
ijassa-1006	498	7	artificial	artificial	ADJ
ijassa-1006	498	8	immune	immune	ADJ
ijassa-1006	498	9	system	system	NOUN
ijassa-1006	498	10	,	,	PUNCT
ijassa-1006	498	11	genetic	genetic	ADJ
ijassa-1006	498	12	programming	programming	NOUN
ijassa-1006	498	13	and	and	CCONJ
ijassa-1006	498	14	evolvable	evolvable	ADJ
ijassa-1006	498	15	machines	machine	NOUN
ijassa-1006	498	16	,	,	PUNCT
ijassa-1006	498	17	6	6	NUM
ijassa-1006	498	18	,	,	PUNCT
ijassa-1006	498	19	163–190	163–190	NUM
ijassa-1006	498	20	.	.	PUNCT
ijassa-1006	499	1	12	12	NUM
ijassa-1006	499	2	.	.	PUNCT
ijassa-1006	500	1	coello	coello	PROPN
ijassa-1006	500	2	coello	coello	PROPN
ijassa-1006	500	3	,	,	PUNCT
ijassa-1006	500	4	c.	c.	PROPN
ijassa-1006	500	5	a.	a.	PROPN
ijassa-1006	500	6	,	,	PUNCT
ijassa-1006	500	7	pulido	pulido	NOUN
ijassa-1006	500	8	,	,	PUNCT
ijassa-1006	500	9	g.	g.	PROPN
ijassa-1006	500	10	t.	t.	PROPN
ijassa-1006	500	11	,	,	PUNCT
ijassa-1006	500	12	&	&	CCONJ
ijassa-1006	500	13	lechuga	lechuga	PROPN
ijassa-1006	500	14	,	,	PUNCT
ijassa-1006	500	15	m.	m.	NOUN
ijassa-1006	500	16	s.	s.	PROPN
ijassa-1006	500	17	(	(	PUNCT
ijassa-1006	500	18	2004	2004	NUM
ijassa-1006	500	19	)	)	PUNCT
ijassa-1006	500	20	.	.	PUNCT
ijassa-1006	501	1	handling	handle	VERB
ijassa-1006	501	2	multiple	multiple	ADJ
ijassa-1006	501	3	objectives	objective	NOUN
ijassa-1006	501	4	with	with	ADP
ijassa-1006	501	5	particle	particle	NOUN
ijassa-1006	501	6	swarm	swarm	NOUN
ijassa-1006	501	7	optimization	optimization	NOUN
ijassa-1006	501	8	,	,	PUNCT
ijassa-1006	501	9	ieee	ieee	NOUN
ijassa-1006	501	10	transactions	transaction	NOUN
ijassa-1006	501	11	on	on	ADP
ijassa-1006	501	12	evolutionary	evolutionary	ADJ
ijassa-1006	501	13	computation	computation	NOUN
ijassa-1006	501	14	,	,	PUNCT
ijassa-1006	501	15	8(3	8(3	NUM
ijassa-1006	501	16	)	)	PUNCT
ijassa-1006	501	17	,	,	PUNCT
ijassa-1006	501	18	256–279	256–279	NUM
ijassa-1006	501	19	.	.	PUNCT
ijassa-1006	502	1	13	13	NUM
ijassa-1006	502	2	.	.	PUNCT
ijassa-1006	503	1	coello	coello	PROPN
ijassa-1006	503	2	coello	coello	PROPN
ijassa-1006	503	3	,	,	PUNCT
ijassa-1006	503	4	c.	c.	PROPN
ijassa-1006	503	5	a.	a.	PROPN
ijassa-1006	503	6	,	,	PUNCT
ijassa-1006	503	7	&	&	CCONJ
ijassa-1006	503	8	reyes	reyes	PROPN
ijassa-1006	503	9	-	-	PUNCT
ijassa-1006	503	10	sierra	sierra	PROPN
ijassa-1006	503	11	,	,	PUNCT
ijassa-1006	503	12	m.	m.	NOUN
ijassa-1006	503	13	(	(	PUNCT
ijassa-1006	503	14	2006	2006	NUM
ijassa-1006	503	15	)	)	PUNCT
ijassa-1006	503	16	.	.	PUNCT
ijassa-1006	504	1	multi	multi	ADJ
ijassa-1006	504	2	-	-	ADJ
ijassa-1006	504	3	objective	objective	ADJ
ijassa-1006	504	4	particle	particle	NOUN
ijassa-1006	504	5	swarm	swarm	NOUN
ijassa-1006	504	6	optimizers	optimizer	NOUN
ijassa-1006	504	7	:	:	PUNCT
ijassa-1006	504	8	a	a	DET
ijassa-1006	504	9	survey	survey	NOUN
ijassa-1006	504	10	of	of	ADP
ijassa-1006	504	11	the	the	DET
ijassa-1006	504	12	state	state	NOUN
ijassa-1006	504	13	-	-	PUNCT
ijassa-1006	504	14	of	of	ADP
ijassa-1006	504	15	-	-	PUNCT
ijassa-1006	504	16	the	the	DET
ijassa-1006	504	17	-	-	PUNCT
ijassa-1006	504	18	art	art	NOUN
ijassa-1006	504	19	,	,	PUNCT
ijassa-1006	504	20	international	international	ADJ
ijassa-1006	504	21	journal	journal	NOUN
ijassa-1006	504	22	of	of	ADP
ijassa-1006	504	23	computational	computational	ADJ
ijassa-1006	504	24	intelligence	intelligence	NOUN
ijassa-1006	504	25	research	research	NOUN
ijassa-1006	504	26	,	,	PUNCT
ijassa-1006	504	27	2(3	2(3	NUM
ijassa-1006	504	28	)	)	PUNCT
ijassa-1006	504	29	,	,	PUNCT
ijassa-1006	504	30	287–308	287–308	NUM
ijassa-1006	504	31	.	.	PUNCT
ijassa-1006	505	1	14	14	NUM
ijassa-1006	505	2	.	.	PUNCT
ijassa-1006	506	1	cura	cura	PROPN
ijassa-1006	506	2	,	,	PUNCT
ijassa-1006	506	3	t.	t.	PROPN
ijassa-1006	506	4	(	(	PUNCT
ijassa-1006	506	5	2009	2009	NUM
ijassa-1006	506	6	)	)	PUNCT
ijassa-1006	506	7	.	.	PUNCT
ijassa-1006	507	1	particle	particle	NOUN
ijassa-1006	507	2	swarm	swarm	NOUN
ijassa-1006	507	3	optimization	optimization	NOUN
ijassa-1006	507	4	approach	approach	NOUN
ijassa-1006	507	5	to	to	ADP
ijassa-1006	507	6	portfolio	portfolio	NOUN
ijassa-1006	507	7	optimization	optimization	NOUN
ijassa-1006	507	8	.	.	PUNCT
ijassa-1006	508	1	nonlinear	nonlinear	ADJ
ijassa-1006	508	2	analysis	analysis	NOUN
ijassa-1006	508	3	:	:	PUNCT
ijassa-1006	508	4	real	real	ADJ
ijassa-1006	508	5	world	world	NOUN
ijassa-1006	508	6	applications	application	NOUN
ijassa-1006	508	7	.	.	PUNCT
ijassa-1006	509	1	https://doi.org/10.1016/j.nonrwa.2008.04.023	https://doi.org/10.1016/j.nonrwa.2008.04.023	PROPN
ijassa-1006	509	2	15	15	NUM
ijassa-1006	509	3	.	.	PUNCT
ijassa-1006	510	1	das	das	PROPN
ijassa-1006	510	2	,	,	PUNCT
ijassa-1006	510	3	s.	s.	PROPN
ijassa-1006	510	4	,	,	PUNCT
ijassa-1006	510	5	mullick	mullick	PROPN
ijassa-1006	510	6	,	,	PUNCT
ijassa-1006	510	7	s.	s.	PROPN
ijassa-1006	510	8	s.	s.	PROPN
ijassa-1006	510	9	,	,	PUNCT
ijassa-1006	510	10	&	&	CCONJ
ijassa-1006	510	11	suganthan	suganthan	PROPN
ijassa-1006	510	12	,	,	PUNCT
ijassa-1006	510	13	p.	p.	NOUN
ijassa-1006	510	14	n.	n.	NOUN
ijassa-1006	510	15	(	(	PUNCT
ijassa-1006	510	16	2016	2016	NUM
ijassa-1006	510	17	)	)	PUNCT
ijassa-1006	510	18	.	.	PUNCT
ijassa-1006	511	1	recent	recent	ADJ
ijassa-1006	511	2	advances	advance	NOUN
ijassa-1006	511	3	in	in	ADP
ijassa-1006	511	4	differential	differential	ADJ
ijassa-1006	511	5	evolution	evolution	NOUN
ijassa-1006	511	6	-	-	PUNCT
ijassa-1006	511	7	an	an	DET
ijassa-1006	511	8	updated	update	VERB
ijassa-1006	511	9	survey	survey	NOUN
ijassa-1006	511	10	,	,	PUNCT
ijassa-1006	511	11	swarm	swarm	NOUN
ijassa-1006	511	12	and	and	CCONJ
ijassa-1006	511	13	evolutionary	evolutionary	ADJ
ijassa-1006	511	14	computation	computation	NOUN
ijassa-1006	511	15	,	,	PUNCT
ijassa-1006	511	16	27	27	NUM
ijassa-1006	511	17	,	,	PUNCT
ijassa-1006	511	18	1–30	1–30	NOUN
ijassa-1006	511	19	.	.	PUNCT
ijassa-1006	512	1	16	16	NUM
ijassa-1006	512	2	.	.	PUNCT
ijassa-1006	513	1	deb	deb	PROPN
ijassa-1006	513	2	,	,	PUNCT
ijassa-1006	513	3	k.	k.	PROPN
ijassa-1006	513	4	,	,	PUNCT
ijassa-1006	513	5	pratap	pratap	PROPN
ijassa-1006	513	6	,	,	PUNCT
ijassa-1006	513	7	a.	a.	PROPN
ijassa-1006	513	8	,	,	PUNCT
ijassa-1006	513	9	agarwal	agarwal	PROPN
ijassa-1006	513	10	,	,	PUNCT
ijassa-1006	513	11	s.	s.	PROPN
ijassa-1006	513	12	,	,	PUNCT
ijassa-1006	513	13	&	&	CCONJ
ijassa-1006	513	14	meyarivan	meyarivan	PROPN
ijassa-1006	513	15	,	,	PUNCT
ijassa-1006	513	16	t.	t.	PROPN
ijassa-1006	513	17	(	(	PUNCT
ijassa-1006	513	18	2002a	2002a	NUM
ijassa-1006	513	19	)	)	PUNCT
ijassa-1006	513	20	.	.	PUNCT
ijassa-1006	514	1	a	a	DET
ijassa-1006	514	2	fast	fast	ADJ
ijassa-1006	514	3	and	and	CCONJ
ijassa-1006	514	4	elitist	elitist	ADJ
ijassa-1006	514	5	multiobjective	multiobjective	ADJ
ijassa-1006	514	6	genetic	genetic	ADJ
ijassa-1006	514	7	algorithm	algorithm	NOUN
ijassa-1006	514	8	:	:	PUNCT
ijassa-1006	514	9	nsga	nsga	PROPN
ijassa-1006	514	10	-	-	PUNCT
ijassa-1006	514	11	ii	ii	PROPN
ijassa-1006	514	12	,	,	PUNCT
ijassa-1006	514	13	ieee	ieee	NOUN
ijassa-1006	514	14	transactions	transaction	NOUN
ijassa-1006	514	15	on	on	ADP
ijassa-1006	514	16	evolutionary	evolutionary	ADJ
ijassa-1006	514	17	computation	computation	NOUN
ijassa-1006	514	18	,	,	PUNCT
ijassa-1006	514	19	6(2	6(2	NUM
ijassa-1006	514	20	)	)	PUNCT
ijassa-1006	514	21	,	,	PUNCT
ijassa-1006	514	22	182–197	182–197	NUM
ijassa-1006	514	23	.	.	PUNCT
ijassa-1006	515	1	17	17	NUM
ijassa-1006	515	2	.	.	PUNCT
ijassa-1006	516	1	deb	deb	PROPN
ijassa-1006	516	2	,	,	PUNCT
ijassa-1006	516	3	k.	k.	PROPN
ijassa-1006	516	4	,	,	PUNCT
ijassa-1006	516	5	pratap	pratap	PROPN
ijassa-1006	516	6	,	,	PUNCT
ijassa-1006	516	7	a.	a.	PROPN
ijassa-1006	516	8	,	,	PUNCT
ijassa-1006	516	9	agarwal	agarwal	PROPN
ijassa-1006	516	10	,	,	PUNCT
ijassa-1006	516	11	s.	s.	PROPN
ijassa-1006	516	12	,	,	PUNCT
ijassa-1006	516	13	&	&	CCONJ
ijassa-1006	516	14	meyarivan	meyarivan	PROPN
ijassa-1006	516	15	,	,	PUNCT
ijassa-1006	516	16	t.	t.	PROPN
ijassa-1006	516	17	(	(	PUNCT
ijassa-1006	516	18	2002b	2002b	NUM
ijassa-1006	516	19	)	)	PUNCT
ijassa-1006	516	20	.	.	PUNCT
ijassa-1006	517	1	a	a	DET
ijassa-1006	517	2	fast	fast	ADJ
ijassa-1006	517	3	and	and	CCONJ
ijassa-1006	517	4	elitist	elitist	ADJ
ijassa-1006	517	5	multiobjective	multiobjective	ADJ
ijassa-1006	517	6	genetic	genetic	ADJ
ijassa-1006	517	7	algorithm	algorithm	NOUN
ijassa-1006	517	8	:	:	PUNCT
ijassa-1006	517	9	nsga	nsga	PROPN
ijassa-1006	517	10	-	-	PUNCT
ijassa-1006	517	11	ii	ii	PROPN
ijassa-1006	517	12	,	,	PUNCT
ijassa-1006	517	13	ieee	ieee	NOUN
ijassa-1006	517	14	transactions	transaction	NOUN
ijassa-1006	517	15	on	on	ADP
ijassa-1006	517	16	evolutionary	evolutionary	ADJ
ijassa-1006	517	17	computation	computation	NOUN
ijassa-1006	517	18	,	,	PUNCT
ijassa-1006	517	19	6(2	6(2	NUM
ijassa-1006	517	20	)	)	PUNCT
ijassa-1006	517	21	,	,	PUNCT
ijassa-1006	517	22	182–197	182–197	NUM
ijassa-1006	517	23	.	.	PUNCT
ijassa-1006	518	1	18	18	NUM
ijassa-1006	518	2	.	.	PUNCT
ijassa-1006	518	3	deb	deb	PROPN
ijassa-1006	518	4	,	,	PUNCT
ijassa-1006	518	5	k.	k.	PROPN
ijassa-1006	518	6	,	,	PUNCT
ijassa-1006	518	7	thiele	thiele	PROPN
ijassa-1006	518	8	,	,	PUNCT
ijassa-1006	518	9	l.	l.	PROPN
ijassa-1006	518	10	,	,	PUNCT
ijassa-1006	518	11	laumanns	laumann	NOUN
ijassa-1006	518	12	,	,	PUNCT
ijassa-1006	518	13	m.	m.	NOUN
ijassa-1006	518	14	,	,	PUNCT
ijassa-1006	518	15	&	&	CCONJ
ijassa-1006	518	16	zitzler	zitzler	PROPN
ijassa-1006	518	17	,	,	PUNCT
ijassa-1006	518	18	e.	e.	PROPN
ijassa-1006	518	19	(	(	PUNCT
ijassa-1006	518	20	2002	2002	NUM
ijassa-1006	518	21	)	)	PUNCT
ijassa-1006	518	22	.	.	PUNCT
ijassa-1006	519	1	scalable	scalable	ADJ
ijassa-1006	519	2	multi	multi	ADJ
ijassa-1006	519	3	-	-	ADJ
ijassa-1006	519	4	objective	objective	ADJ
ijassa-1006	519	5	optimization	optimization	NOUN
ijassa-1006	519	6	test	test	NOUN
ijassa-1006	519	7	problems	problem	NOUN
ijassa-1006	519	8	,	,	PUNCT
ijassa-1006	519	9	proc	proc	NOUN
ijassa-1006	519	10	.	.	PUNCT
ijassa-1006	520	1	of	of	ADP
ijassa-1006	520	2	the	the	DET
ijassa-1006	520	3	2002	2002	NUM
ijassa-1006	520	4	congress	congress	PROPN
ijassa-1006	520	5	on	on	ADP
ijassa-1006	520	6	evolutionary	evolutionary	ADJ
ijassa-1006	520	7	computation	computation	NOUN
ijassa-1006	520	8	(	(	PUNCT
ijassa-1006	520	9	cec	cec	PROPN
ijassa-1006	520	10	2002	2002	NUM
ijassa-1006	520	11	)	)	PUNCT
ijassa-1006	520	12	(	(	PUNCT
ijassa-1006	520	13	honolulu	honolulu	PROPN
ijassa-1006	520	14	,	,	PUNCT
ijassa-1006	520	15	hi	hi	PROPN
ijassa-1006	520	16	)	)	PUNCT
ijassa-1006	520	17	.	.	PUNCT
ijassa-1006	521	1	19	19	NUM
ijassa-1006	521	2	.	.	X
ijassa-1006	521	3	denysiuk	denysiuk	PROPN
ijassa-1006	521	4	,	,	PUNCT
ijassa-1006	521	5	r.	r.	PROPN
ijassa-1006	521	6	,	,	PUNCT
ijassa-1006	521	7	costa	costa	PROPN
ijassa-1006	521	8	,	,	PUNCT
ijassa-1006	521	9	l.	l.	PROPN
ijassa-1006	521	10	,	,	PUNCT
ijassa-1006	521	11	&	&	CCONJ
ijassa-1006	521	12	santo	santo	PROPN
ijassa-1006	521	13	,	,	PUNCT
ijassa-1006	521	14	i.	i.	PROPN
ijassa-1006	521	15	e.	e.	PROPN
ijassa-1006	521	16	(	(	PUNCT
ijassa-1006	521	17	2013	2013	NUM
ijassa-1006	521	18	)	)	PUNCT
ijassa-1006	521	19	.	.	PUNCT
ijassa-1006	522	1	many	many	ADJ
ijassa-1006	522	2	-	-	PUNCT
ijassa-1006	522	3	objective	objective	ADJ
ijassa-1006	522	4	optimization	optimization	NOUN
ijassa-1006	522	5	using	use	VERB
ijassa-1006	522	6	176	176	NUM
ijassa-1006	522	7	n.	n.	NOUN
ijassa-1006	522	8	boukhari	boukhari	NOUN
ijassa-1006	522	9	,	,	PUNCT
ijassa-1006	522	10	m.	m.	NOUN
ijassa-1006	522	11	a.	a.	NOUN
ijassa-1006	522	12	nemmich	nemmich	PROPN
ijassa-1006	522	13	,	,	PUNCT
ijassa-1006	522	14	f.	f.	PROPN
ijassa-1006	522	15	debbat	debbat	PROPN
ijassa-1006	522	16	,	,	PUNCT
ijassa-1006	522	17	n.	n.	NOUN
ijassa-1006	522	18	monmarché	monmarché	NOUN
ijassa-1006	522	19	,	,	PUNCT
ijassa-1006	522	20	m.	m.	NOUN
ijassa-1006	522	21	slimane	slimane	PROPN
ijassa-1006	522	22	copyright	copyright	NOUN
ijassa-1006	523	1	©	©	PROPN
ijassa-1006	523	2	0000	0000	NUM
ijassa-1006	523	3	assa	assa	PROPN
ijassa-1006	523	4	adv	adv	PROPN
ijassa-1006	523	5	.	.	PUNCT
ijassa-1006	524	1	in	in	ADP
ijassa-1006	524	2	systems	system	NOUN
ijassa-1006	524	3	science	science	NOUN
ijassa-1006	524	4	and	and	CCONJ
ijassa-1006	524	5	appl	appl	NOUN
ijassa-1006	524	6	.	.	PUNCT
ijassa-1006	525	1	(	(	PUNCT
ijassa-1006	525	2	0000	0000	NUM
ijassa-1006	525	3	)	)	PUNCT
ijassa-1006	525	4	differential	differential	NOUN
ijassa-1006	525	5	evolution	evolution	NOUN
ijassa-1006	525	6	with	with	ADP
ijassa-1006	525	7	variable	variable	ADJ
ijassa-1006	525	8	-	-	PUNCT
ijassa-1006	525	9	wise	wise	ADJ
ijassa-1006	525	10	mutation	mutation	NOUN
ijassa-1006	525	11	restriction	restriction	NOUN
ijassa-1006	525	12	,	,	PUNCT
ijassa-1006	525	13	proc	proc	NOUN
ijassa-1006	525	14	.	.	PUNCT
ijassa-1006	526	1	of	of	ADP
ijassa-1006	526	2	the	the	DET
ijassa-1006	526	3	2013	2013	NUM
ijassa-1006	526	4	genetic	genetic	ADJ
ijassa-1006	526	5	and	and	CCONJ
ijassa-1006	526	6	evolutionary	evolutionary	ADJ
ijassa-1006	526	7	computation	computation	NOUN
ijassa-1006	526	8	conference	conference	NOUN
ijassa-1006	526	9	(	(	PUNCT
ijassa-1006	526	10	gecco	gecco	NOUN
ijassa-1006	526	11	2013	2013	NUM
ijassa-1006	526	12	)	)	PUNCT
ijassa-1006	526	13	(	(	PUNCT
ijassa-1006	526	14	amsterdam	amsterdam	PROPN
ijassa-1006	526	15	,	,	PUNCT
ijassa-1006	526	16	the	the	DET
ijassa-1006	526	17	netherlands	netherlands	PROPN
ijassa-1006	526	18	)	)	PUNCT
ijassa-1006	526	19	.	.	PUNCT
ijassa-1006	527	1	20	20	NUM
ijassa-1006	527	2	.	.	X
ijassa-1006	527	3	dong	dong	PROPN
ijassa-1006	527	4	,	,	PUNCT
ijassa-1006	527	5	n.	n.	NOUN
ijassa-1006	527	6	,	,	PUNCT
ijassa-1006	527	7	&	&	CCONJ
ijassa-1006	527	8	wang	wang	PROPN
ijassa-1006	527	9	,	,	PUNCT
ijassa-1006	527	10	y.	y.	PROPN
ijassa-1006	527	11	(	(	PUNCT
ijassa-1006	527	12	2014	2014	NUM
ijassa-1006	527	13	)	)	PUNCT
ijassa-1006	527	14	.	.	PUNCT
ijassa-1006	528	1	a	a	DET
ijassa-1006	528	2	memetic	memetic	ADJ
ijassa-1006	528	3	differential	differential	NOUN
ijassa-1006	528	4	evolution	evolution	NOUN
ijassa-1006	528	5	algorithm	algorithm	NOUN
ijassa-1006	528	6	based	base	VERB
ijassa-1006	528	7	on	on	ADP
ijassa-1006	528	8	dynamic	dynamic	ADJ
ijassa-1006	528	9	preference	preference	NOUN
ijassa-1006	528	10	for	for	ADP
ijassa-1006	528	11	constrained	constrain	VERB
ijassa-1006	528	12	optimization	optimization	NOUN
ijassa-1006	528	13	problems	problem	NOUN
ijassa-1006	528	14	,	,	PUNCT
ijassa-1006	528	15	journal	journal	NOUN
ijassa-1006	528	16	of	of	ADP
ijassa-1006	528	17	applied	apply	VERB
ijassa-1006	528	18	mathematics	mathematic	NOUN
ijassa-1006	528	19	,	,	PUNCT
ijassa-1006	528	20	2014	2014	NUM
ijassa-1006	528	21	,	,	PUNCT
ijassa-1006	528	22	606019	606019	NUM
ijassa-1006	528	23	.	.	PUNCT
ijassa-1006	529	1	21	21	NUM
ijassa-1006	529	2	.	.	X
ijassa-1006	530	1	duan	duan	PROPN
ijassa-1006	530	2	,	,	PUNCT
ijassa-1006	530	3	y.	y.	PROPN
ijassa-1006	530	4	c.	c.	PROPN
ijassa-1006	530	5	(	(	PUNCT
ijassa-1006	530	6	2004	2004	NUM
ijassa-1006	530	7	)	)	PUNCT
ijassa-1006	530	8	.	.	PUNCT
ijassa-1006	531	1	a	a	DET
ijassa-1006	531	2	multi	multi	ADJ
ijassa-1006	531	3	-	-	ADJ
ijassa-1006	531	4	objective	objective	ADJ
ijassa-1006	531	5	approach	approach	NOUN
ijassa-1006	531	6	to	to	ADP
ijassa-1006	531	7	portfolio	portfolio	NOUN
ijassa-1006	531	8	optimization	optimization	NOUN
ijassa-1006	531	9	,	,	PUNCT
ijassa-1006	531	10	rosehulman	rosehulman	NOUN
ijassa-1006	531	11	undergraduate	undergraduate	NOUN
ijassa-1006	531	12	mathematics	mathematics	PROPN
ijassa-1006	531	13	journal	journal	NOUN
ijassa-1006	531	14	,	,	PUNCT
ijassa-1006	531	15	8	8	NUM
ijassa-1006	531	16	,	,	PUNCT
ijassa-1006	531	17	207–227	207–227	NUM
ijassa-1006	531	18	.	.	PUNCT
ijassa-1006	532	1	22	22	NUM
ijassa-1006	532	2	.	.	PUNCT
ijassa-1006	533	1	gong	gong	PROPN
ijassa-1006	533	2	,	,	PUNCT
ijassa-1006	533	3	w.	w.	PROPN
ijassa-1006	533	4	,	,	PUNCT
ijassa-1006	533	5	&	&	CCONJ
ijassa-1006	533	6	cai	cai	PROPN
ijassa-1006	533	7	,	,	PUNCT
ijassa-1006	533	8	z.	z.	PROPN
ijassa-1006	533	9	(	(	PUNCT
ijassa-1006	533	10	2013	2013	NUM
ijassa-1006	533	11	)	)	PUNCT
ijassa-1006	533	12	.	.	PUNCT
ijassa-1006	534	1	differential	differential	ADJ
ijassa-1006	534	2	evolution	evolution	NOUN
ijassa-1006	534	3	with	with	ADP
ijassa-1006	534	4	ranking	ranking	NOUN
ijassa-1006	534	5	-	-	PUNCT
ijassa-1006	534	6	based	base	VERB
ijassa-1006	534	7	mutation	mutation	NOUN
ijassa-1006	534	8	operators	operator	NOUN
ijassa-1006	534	9	,	,	PUNCT
ijassa-1006	534	10	ieee	ieee	NOUN
ijassa-1006	534	11	transactions	transaction	NOUN
ijassa-1006	534	12	on	on	ADP
ijassa-1006	534	13	cybernetics	cybernetic	NOUN
ijassa-1006	534	14	,	,	PUNCT
ijassa-1006	534	15	43(6	43(6	NOUN
ijassa-1006	534	16	)	)	PUNCT
ijassa-1006	534	17	,	,	PUNCT
ijassa-1006	534	18	2066–2081	2066–2081	NUM
ijassa-1006	534	19	.	.	PUNCT
ijassa-1006	534	20	23	23	NUM
ijassa-1006	534	21	.	.	PUNCT
ijassa-1006	535	1	gong	gong	PROPN
ijassa-1006	535	2	,	,	PUNCT
ijassa-1006	535	3	w.	w.	PROPN
ijassa-1006	535	4	,	,	PUNCT
ijassa-1006	535	5	cai	cai	PROPN
ijassa-1006	535	6	,	,	PUNCT
ijassa-1006	535	7	z.	z.	PROPN
ijassa-1006	535	8	,	,	PUNCT
ijassa-1006	535	9	&	&	CCONJ
ijassa-1006	535	10	liang	liang	PROPN
ijassa-1006	535	11	,	,	PUNCT
ijassa-1006	535	12	d.	d.	PROPN
ijassa-1006	535	13	(	(	PUNCT
ijassa-1006	535	14	2014	2014	NUM
ijassa-1006	535	15	)	)	PUNCT
ijassa-1006	535	16	.	.	PUNCT
ijassa-1006	536	1	engineering	engineer	VERB
ijassa-1006	536	2	optimization	optimization	NOUN
ijassa-1006	536	3	by	by	ADP
ijassa-1006	536	4	means	mean	NOUN
ijassa-1006	536	5	of	of	ADP
ijassa-1006	536	6	an	an	DET
ijassa-1006	536	7	improved	improve	VERB
ijassa-1006	536	8	constrained	constrain	VERB
ijassa-1006	536	9	differential	differential	ADJ
ijassa-1006	536	10	evolution	evolution	NOUN
ijassa-1006	536	11	,	,	PUNCT
ijassa-1006	536	12	computer	computer	NOUN
ijassa-1006	536	13	methods	method	NOUN
ijassa-1006	536	14	in	in	ADP
ijassa-1006	536	15	applied	applied	ADJ
ijassa-1006	536	16	mechanics	mechanic	NOUN
ijassa-1006	536	17	and	and	CCONJ
ijassa-1006	536	18	engineering	engineering	NOUN
ijassa-1006	536	19	,	,	PUNCT
ijassa-1006	536	20	268	268	NUM
ijassa-1006	536	21	,	,	PUNCT
ijassa-1006	536	22	884–904	884–904	NUM
ijassa-1006	536	23	.	.	PUNCT
ijassa-1006	537	1	24	24	NUM
ijassa-1006	537	2	.	.	PUNCT
ijassa-1006	537	3	guerard	guerard	PROPN
ijassa-1006	537	4	,	,	PUNCT
ijassa-1006	537	5	j.	j.	PROPN
ijassa-1006	537	6	(	(	PUNCT
ijassa-1006	537	7	2016	2016	NUM
ijassa-1006	537	8	)	)	PUNCT
ijassa-1006	537	9	.	.	PUNCT
ijassa-1006	538	1	the	the	DET
ijassa-1006	538	2	theory	theory	NOUN
ijassa-1006	538	3	of	of	ADP
ijassa-1006	538	4	risk	risk	NOUN
ijassa-1006	538	5	,	,	PUNCT
ijassa-1006	538	6	return	return	NOUN
ijassa-1006	538	7	,	,	PUNCT
ijassa-1006	538	8	and	and	CCONJ
ijassa-1006	538	9	performance	performance	NOUN
ijassa-1006	538	10	measurement	measurement	NOUN
ijassa-1006	538	11	,	,	PUNCT
ijassa-1006	538	12	portfolio	portfolio	NOUN
ijassa-1006	538	13	construction	construction	NOUN
ijassa-1006	538	14	,	,	PUNCT
ijassa-1006	538	15	measurement	measurement	NOUN
ijassa-1006	538	16	,	,	PUNCT
ijassa-1006	538	17	and	and	CCONJ
ijassa-1006	538	18	efficiency	efficiency	NOUN
ijassa-1006	538	19	:	:	PUNCT
ijassa-1006	538	20	essays	essay	NOUN
ijassa-1006	538	21	in	in	ADP
ijassa-1006	538	22	honor	honor	NOUN
ijassa-1006	538	23	of	of	ADP
ijassa-1006	538	24	jack	jack	PROPN
ijassa-1006	538	25	treynor	treynor	PROPN
ijassa-1006	538	26	,	,	PUNCT
ijassa-1006	538	27	1–38	1–38	PROPN
ijassa-1006	538	28	.	.	PROPN
ijassa-1006	538	29	25	25	NUM
ijassa-1006	538	30	.	.	PUNCT
ijassa-1006	539	1	huang	huang	PROPN
ijassa-1006	539	2	,	,	PUNCT
ijassa-1006	539	3	v.	v.	PROPN
ijassa-1006	539	4	l.	l.	PROPN
ijassa-1006	539	5	,	,	PUNCT
ijassa-1006	539	6	qin	qin	PROPN
ijassa-1006	539	7	,	,	PUNCT
ijassa-1006	539	8	a.	a.	PROPN
ijassa-1006	539	9	k.	k.	PROPN
ijassa-1006	539	10	,	,	PUNCT
ijassa-1006	539	11	suganthan	suganthan	PROPN
ijassa-1006	539	12	,	,	PUNCT
ijassa-1006	539	13	p.	p.	PROPN
ijassa-1006	539	14	n.	n.	PROPN
ijassa-1006	539	15	,	,	PUNCT
ijassa-1006	539	16	&	&	CCONJ
ijassa-1006	539	17	tasgetiren	tasgetiren	PROPN
ijassa-1006	539	18	,	,	PUNCT
ijassa-1006	539	19	m.	m.	PROPN
ijassa-1006	539	20	f.	f.	PROPN
ijassa-1006	539	21	(	(	PUNCT
ijassa-1006	539	22	2007	2007	NUM
ijassa-1006	539	23	)	)	PUNCT
ijassa-1006	539	24	.	.	PUNCT
ijassa-1006	540	1	multiobjective	multiobjective	ADJ
ijassa-1006	540	2	optimization	optimization	NOUN
ijassa-1006	540	3	based	base	VERB
ijassa-1006	540	4	on	on	ADP
ijassa-1006	540	5	self	self	NOUN
ijassa-1006	540	6	-	-	PUNCT
ijassa-1006	540	7	adaptive	adaptive	ADJ
ijassa-1006	540	8	differential	differential	NOUN
ijassa-1006	540	9	evolution	evolution	NOUN
ijassa-1006	540	10	algorithm	algorithm	NOUN
ijassa-1006	540	11	,	,	PUNCT
ijassa-1006	540	12	proc	proc	NOUN
ijassa-1006	540	13	.	.	PUNCT
ijassa-1006	541	1	of	of	ADP
ijassa-1006	541	2	2007	2007	NUM
ijassa-1006	541	3	ieee	ieee	PROPN
ijassa-1006	541	4	congress	congress	PROPN
ijassa-1006	541	5	on	on	ADP
ijassa-1006	541	6	evolutionary	evolutionary	ADJ
ijassa-1006	541	7	computation	computation	NOUN
ijassa-1006	541	8	(	(	PUNCT
ijassa-1006	541	9	cec	cec	PROPN
ijassa-1006	541	10	2007	2007	NUM
ijassa-1006	541	11	)	)	PUNCT
ijassa-1006	541	12	(	(	PUNCT
ijassa-1006	541	13	singapore	singapore	PROPN
ijassa-1006	541	14	)	)	PUNCT
ijassa-1006	541	15	.	.	PUNCT
ijassa-1006	542	1	26	26	NUM
ijassa-1006	542	2	.	.	X
ijassa-1006	543	1	huang	huang	PROPN
ijassa-1006	543	2	,	,	PUNCT
ijassa-1006	543	3	v.	v.	PROPN
ijassa-1006	543	4	l.	l.	PROPN
ijassa-1006	543	5	,	,	PUNCT
ijassa-1006	543	6	zhao	zhao	PROPN
ijassa-1006	543	7	,	,	PUNCT
ijassa-1006	543	8	s.	s.	PROPN
ijassa-1006	543	9	z.	z.	PROPN
ijassa-1006	543	10	,	,	PUNCT
ijassa-1006	543	11	mallipeddi	mallipeddi	PROPN
ijassa-1006	543	12	,	,	PUNCT
ijassa-1006	543	13	r.	r.	PROPN
ijassa-1006	543	14	,	,	PUNCT
ijassa-1006	543	15	&	&	CCONJ
ijassa-1006	543	16	suganthan	suganthan	PROPN
ijassa-1006	543	17	,	,	PUNCT
ijassa-1006	543	18	p.	p.	NOUN
ijassa-1006	543	19	n.	n.	NOUN
ijassa-1006	543	20	(	(	PUNCT
ijassa-1006	543	21	2009	2009	NUM
ijassa-1006	543	22	)	)	PUNCT
ijassa-1006	543	23	.	.	PUNCT
ijassa-1006	544	1	multi	multi	ADJ
ijassa-1006	544	2	-	-	ADJ
ijassa-1006	544	3	objective	objective	ADJ
ijassa-1006	544	4	optimization	optimization	NOUN
ijassa-1006	544	5	using	use	VERB
ijassa-1006	544	6	self	self	NOUN
ijassa-1006	544	7	-	-	PUNCT
ijassa-1006	544	8	adaptive	adaptive	ADJ
ijassa-1006	544	9	differential	differential	NOUN
ijassa-1006	544	10	evolution	evolution	NOUN
ijassa-1006	544	11	algorithm	algorithm	NOUN
ijassa-1006	544	12	,	,	PUNCT
ijassa-1006	544	13	proc	proc	NOUN
ijassa-1006	544	14	.	.	PUNCT
ijassa-1006	545	1	of	of	ADP
ijassa-1006	545	2	2009	2009	NUM
ijassa-1006	545	3	ieee	ieee	NOUN
ijassa-1006	545	4	congress	congress	PROPN
ijassa-1006	545	5	on	on	ADP
ijassa-1006	545	6	evolutionary	evolutionary	ADJ
ijassa-1006	545	7	computation	computation	NOUN
ijassa-1006	545	8	(	(	PUNCT
ijassa-1006	545	9	cec	cec	PROPN
ijassa-1006	545	10	2009	2009	NUM
ijassa-1006	545	11	)	)	PUNCT
ijassa-1006	545	12	(	(	PUNCT
ijassa-1006	545	13	trondheim	trondheim	PROPN
ijassa-1006	545	14	,	,	PUNCT
ijassa-1006	545	15	norway	norway	PROPN
ijassa-1006	545	16	)	)	PUNCT
ijassa-1006	545	17	.	.	PUNCT
ijassa-1006	546	1	27	27	NUM
ijassa-1006	546	2	.	.	PUNCT
ijassa-1006	546	3	janga	janga	PROPN
ijassa-1006	546	4	reddy	reddy	PROPN
ijassa-1006	546	5	,	,	PUNCT
ijassa-1006	546	6	m.	m.	NOUN
ijassa-1006	546	7	,	,	PUNCT
ijassa-1006	546	8	&	&	CCONJ
ijassa-1006	546	9	nagesh	nagesh	PROPN
ijassa-1006	546	10	kumar	kumar	PROPN
ijassa-1006	546	11	,	,	PUNCT
ijassa-1006	546	12	d.	d.	PROPN
ijassa-1006	546	13	(	(	PUNCT
ijassa-1006	546	14	2012	2012	NUM
ijassa-1006	546	15	)	)	PUNCT
ijassa-1006	546	16	.	.	PUNCT
ijassa-1006	547	1	computational	computational	ADJ
ijassa-1006	547	2	algorithms	algorithm	NOUN
ijassa-1006	547	3	inspired	inspire	VERB
ijassa-1006	547	4	by	by	ADP
ijassa-1006	547	5	biological	biological	ADJ
ijassa-1006	547	6	processes	process	NOUN
ijassa-1006	547	7	and	and	CCONJ
ijassa-1006	547	8	evolution	evolution	NOUN
ijassa-1006	547	9	,	,	PUNCT
ijassa-1006	547	10	current	current	ADJ
ijassa-1006	547	11	science	science	NOUN
ijassa-1006	547	12	,	,	PUNCT
ijassa-1006	547	13	103(4	103(4	NUM
ijassa-1006	547	14	)	)	PUNCT
ijassa-1006	547	15	,	,	PUNCT
ijassa-1006	547	16	370–380	370–380	NUM
ijassa-1006	547	17	.	.	PUNCT
ijassa-1006	547	18	28	28	NUM
ijassa-1006	547	19	.	.	PUNCT
ijassa-1006	548	1	kumar	kumar	PROPN
ijassa-1006	548	2	,	,	PUNCT
ijassa-1006	548	3	r.	r.	PROPN
ijassa-1006	548	4	(	(	PUNCT
ijassa-1006	548	5	2016	2016	NUM
ijassa-1006	548	6	)	)	PUNCT
ijassa-1006	548	7	.	.	PUNCT
ijassa-1006	549	1	risk	risk	NOUN
ijassa-1006	549	2	and	and	CCONJ
ijassa-1006	549	3	return	return	NOUN
ijassa-1006	549	4	,	,	PUNCT
ijassa-1006	549	5	valuation	valuation	NOUN
ijassa-1006	549	6	:	:	PUNCT
ijassa-1006	549	7	theories	theory	NOUN
ijassa-1006	549	8	and	and	CCONJ
ijassa-1006	549	9	concepts	concept	NOUN
ijassa-1006	549	10	,	,	PUNCT
ijassa-1006	549	11	2016	2016	NUM
ijassa-1006	549	12	,	,	PUNCT
ijassa-1006	549	13	47–72	47–72	NUM
ijassa-1006	549	14	.	.	NOUN
ijassa-1006	549	15	29	29	NUM
ijassa-1006	549	16	.	.	PUNCT
ijassa-1006	550	1	li	li	PROPN
ijassa-1006	550	2	,	,	PUNCT
ijassa-1006	550	3	k.	k.	PROPN
ijassa-1006	550	4	,	,	PUNCT
ijassa-1006	550	5	fialho	fialho	PROPN
ijassa-1006	550	6	,	,	PUNCT
ijassa-1006	550	7	a.	a.	NOUN
ijassa-1006	550	8	,	,	PUNCT
ijassa-1006	550	9	kwong	kwong	PROPN
ijassa-1006	550	10	,	,	PUNCT
ijassa-1006	550	11	s.	s.	PROPN
ijassa-1006	550	12	,	,	PUNCT
ijassa-1006	550	13	&	&	CCONJ
ijassa-1006	550	14	zhang	zhang	PROPN
ijassa-1006	550	15	,	,	PUNCT
ijassa-1006	550	16	q.	q.	PROPN
ijassa-1006	550	17	(	(	PUNCT
ijassa-1006	550	18	2014	2014	NUM
ijassa-1006	550	19	)	)	PUNCT
ijassa-1006	550	20	.	.	PUNCT
ijassa-1006	551	1	adaptive	adaptive	ADJ
ijassa-1006	551	2	operator	operator	NOUN
ijassa-1006	551	3	selection	selection	NOUN
ijassa-1006	551	4	with	with	ADP
ijassa-1006	551	5	bandits	bandit	NOUN
ijassa-1006	551	6	for	for	ADP
ijassa-1006	551	7	a	a	DET
ijassa-1006	551	8	multiobjective	multiobjective	ADJ
ijassa-1006	551	9	evolutionary	evolutionary	ADJ
ijassa-1006	551	10	algorithm	algorithm	NOUN
ijassa-1006	551	11	based	base	VERB
ijassa-1006	551	12	on	on	ADP
ijassa-1006	551	13	decomposition	decomposition	NOUN
ijassa-1006	551	14	,	,	PUNCT
ijassa-1006	551	15	ieee	ieee	NOUN
ijassa-1006	551	16	transactions	transaction	NOUN
ijassa-1006	551	17	on	on	ADP
ijassa-1006	551	18	evolutionary	evolutionary	ADJ
ijassa-1006	551	19	computation	computation	NOUN
ijassa-1006	551	20	,	,	PUNCT
ijassa-1006	551	21	18(1	18(1	NOUN
ijassa-1006	551	22	)	)	PUNCT
ijassa-1006	551	23	,	,	PUNCT
ijassa-1006	551	24	114–130	114–130	NUM
ijassa-1006	551	25	.	.	PUNCT
ijassa-1006	551	26	30	30	NUM
ijassa-1006	551	27	.	.	PUNCT
ijassa-1006	552	1	liang	liang	PROPN
ijassa-1006	552	2	,	,	PUNCT
ijassa-1006	552	3	j.	j.	PROPN
ijassa-1006	552	4	j.	j.	PROPN
ijassa-1006	552	5	,	,	PUNCT
ijassa-1006	552	6	zheng	zheng	PROPN
ijassa-1006	552	7	,	,	PUNCT
ijassa-1006	552	8	b.	b.	PROPN
ijassa-1006	552	9	,	,	PUNCT
ijassa-1006	552	10	xu	xu	PROPN
ijassa-1006	552	11	,	,	PUNCT
ijassa-1006	552	12	f.	f.	PROPN
ijassa-1006	552	13	y.	y.	PROPN
ijassa-1006	552	14	,	,	PUNCT
ijassa-1006	552	15	qu	qu	PROPN
ijassa-1006	552	16	,	,	PUNCT
ijassa-1006	552	17	b.	b.	PROPN
ijassa-1006	552	18	y.	y.	PROPN
ijassa-1006	552	19	,	,	PUNCT
ijassa-1006	552	20	&	&	CCONJ
ijassa-1006	552	21	song	song	PROPN
ijassa-1006	552	22	,	,	PUNCT
ijassa-1006	552	23	h.	h.	PROPN
ijassa-1006	552	24	(	(	PUNCT
ijassa-1006	552	25	2014	2014	NUM
ijassa-1006	552	26	)	)	PUNCT
ijassa-1006	552	27	.	.	PUNCT
ijassa-1006	553	1	multi	multi	ADJ
ijassa-1006	553	2	-	-	ADJ
ijassa-1006	553	3	objective	objective	ADJ
ijassa-1006	553	4	differential	differential	ADJ
ijassa-1006	553	5	evolution	evolution	NOUN
ijassa-1006	553	6	algorithm	algorithm	NOUN
ijassa-1006	553	7	based	base	VERB
ijassa-1006	553	8	on	on	ADP
ijassa-1006	553	9	fast	fast	ADJ
ijassa-1006	553	10	sorting	sorting	NOUN
ijassa-1006	553	11	and	and	CCONJ
ijassa-1006	553	12	a	a	DET
ijassa-1006	553	13	novel	novel	ADJ
ijassa-1006	553	14	constraints	constraint	NOUN
ijassa-1006	553	15	handling	handle	VERB
ijassa-1006	553	16	technique	technique	NOUN
ijassa-1006	553	17	,	,	PUNCT
ijassa-1006	553	18	proc	proc	NOUN
ijassa-1006	553	19	.	.	PUNCT
ijassa-1006	554	1	of	of	ADP
ijassa-1006	554	2	the	the	DET
ijassa-1006	554	3	2014	2014	NUM
ijassa-1006	554	4	ieee	ieee	NOUN
ijassa-1006	554	5	congress	congress	PROPN
ijassa-1006	554	6	on	on	ADP
ijassa-1006	554	7	evolutionary	evolutionary	ADJ
ijassa-1006	554	8	computation	computation	NOUN
ijassa-1006	554	9	(	(	PUNCT
ijassa-1006	554	10	cec	cec	PROPN
ijassa-1006	554	11	2014	2014	NUM
ijassa-1006	554	12	)	)	PUNCT
ijassa-1006	554	13	(	(	PUNCT
ijassa-1006	554	14	beijing	beijing	PROPN
ijassa-1006	554	15	,	,	PUNCT
ijassa-1006	554	16	china	china	PROPN
ijassa-1006	554	17	)	)	PUNCT
ijassa-1006	554	18	.	.	PUNCT
ijassa-1006	555	1	31	31	NUM
ijassa-1006	555	2	.	.	PUNCT
ijassa-1006	556	1	lin	lin	PROPN
ijassa-1006	556	2	,	,	PUNCT
ijassa-1006	556	3	p.	p.	PROPN
ijassa-1006	556	4	c.	c.	PROPN
ijassa-1006	556	5	(	(	PUNCT
ijassa-1006	556	6	2012	2012	NUM
ijassa-1006	556	7	)	)	PUNCT
ijassa-1006	556	8	.	.	PUNCT
ijassa-1006	557	1	portfolio	portfolio	NOUN
ijassa-1006	557	2	optimization	optimization	NOUN
ijassa-1006	557	3	and	and	CCONJ
ijassa-1006	557	4	risk	risk	NOUN
ijassa-1006	557	5	measurement	measurement	NOUN
ijassa-1006	557	6	based	base	VERB
ijassa-1006	557	7	on	on	ADP
ijassa-1006	557	8	nondominated	nondominated	ADJ
ijassa-1006	557	9	sorting	sort	VERB
ijassa-1006	557	10	genetic	genetic	ADJ
ijassa-1006	557	11	algorithm	algorithm	NOUN
ijassa-1006	557	12	,	,	PUNCT
ijassa-1006	557	13	journal	journal	NOUN
ijassa-1006	557	14	of	of	ADP
ijassa-1006	557	15	industrial	industrial	ADJ
ijassa-1006	557	16	and	and	CCONJ
ijassa-1006	557	17	management	management	NOUN
ijassa-1006	557	18	optimization	optimization	NOUN
ijassa-1006	557	19	,	,	PUNCT
ijassa-1006	557	20	8(3	8(3	NUM
ijassa-1006	557	21	)	)	PUNCT
ijassa-1006	557	22	,	,	PUNCT
ijassa-1006	557	23	549–564	549–564	NUM
ijassa-1006	557	24	.	.	PUNCT
ijassa-1006	558	1	32	32	NUM
ijassa-1006	558	2	.	.	PUNCT
ijassa-1006	559	1	luong	luong	PROPN
ijassa-1006	559	2	,	,	PUNCT
ijassa-1006	559	3	d.	d.	PROPN
ijassa-1006	559	4	l.	l.	PROPN
ijassa-1006	559	5	,	,	PUNCT
ijassa-1006	559	6	tran	tran	PROPN
ijassa-1006	559	7	,	,	PUNCT
ijassa-1006	559	8	d.	d.	PROPN
ijassa-1006	559	9	h.	h.	PROPN
ijassa-1006	559	10	,	,	PUNCT
ijassa-1006	559	11	&	&	CCONJ
ijassa-1006	559	12	nguyen	nguyen	PROPN
ijassa-1006	559	13	,	,	PUNCT
ijassa-1006	559	14	p.	p.	NOUN
ijassa-1006	559	15	t.	t.	PROPN
ijassa-1006	559	16	(	(	PUNCT
ijassa-1006	559	17	2018	2018	NUM
ijassa-1006	559	18	)	)	PUNCT
ijassa-1006	559	19	.	.	PUNCT
ijassa-1006	560	1	optimizing	optimize	VERB
ijassa-1006	560	2	multi	multi	ADJ
ijassa-1006	560	3	-	-	ADJ
ijassa-1006	560	4	mode	mode	ADJ
ijassa-1006	560	5	timecost	timecost	NOUN
ijassa-1006	560	6	-	-	PUNCT
ijassa-1006	560	7	quality	quality	NOUN
ijassa-1006	560	8	trade	trade	NOUN
ijassa-1006	560	9	-	-	PUNCT
ijassa-1006	560	10	off	off	NOUN
ijassa-1006	560	11	of	of	ADP
ijassa-1006	560	12	construction	construction	NOUN
ijassa-1006	560	13	project	project	NOUN
ijassa-1006	560	14	using	use	VERB
ijassa-1006	560	15	opposition	opposition	NOUN
ijassa-1006	560	16	multiple	multiple	ADJ
ijassa-1006	560	17	objective	objective	ADJ
ijassa-1006	560	18	difference	difference	NOUN
ijassa-1006	560	19	evolution	evolution	NOUN
ijassa-1006	560	20	,	,	PUNCT
ijassa-1006	560	21	international	international	ADJ
ijassa-1006	560	22	journal	journal	NOUN
ijassa-1006	560	23	of	of	ADP
ijassa-1006	560	24	construction	construction	NOUN
ijassa-1006	560	25	management	management	NOUN
ijassa-1006	560	26	,	,	PUNCT
ijassa-1006	560	27	21(3	21(3	NUM
ijassa-1006	560	28	)	)	PUNCT
ijassa-1006	560	29	,	,	PUNCT
ijassa-1006	560	30	271–283	271–283	NUM
ijassa-1006	560	31	.	.	PUNCT
ijassa-1006	561	1	33	33	NUM
ijassa-1006	561	2	.	.	PUNCT
ijassa-1006	562	1	madavan	madavan	PROPN
ijassa-1006	562	2	,	,	PUNCT
ijassa-1006	562	3	n.	n.	PROPN
ijassa-1006	562	4	k.	k.	PROPN
ijassa-1006	563	1	(	(	PUNCT
ijassa-1006	563	2	2002	2002	NUM
ijassa-1006	563	3	)	)	PUNCT
ijassa-1006	563	4	.	.	PUNCT
ijassa-1006	564	1	multiobjective	multiobjective	ADJ
ijassa-1006	564	2	optimization	optimization	NOUN
ijassa-1006	564	3	using	use	VERB
ijassa-1006	564	4	a	a	DET
ijassa-1006	564	5	pareto	pareto	ADJ
ijassa-1006	564	6	differential	differential	NOUN
ijassa-1006	564	7	evolution	evolution	NOUN
ijassa-1006	564	8	approach	approach	NOUN
ijassa-1006	564	9	,	,	PUNCT
ijassa-1006	564	10	proc	proc	NOUN
ijassa-1006	564	11	.	.	PUNCT
ijassa-1006	565	1	of	of	ADP
ijassa-1006	565	2	the	the	DET
ijassa-1006	565	3	2002	2002	NUM
ijassa-1006	565	4	congress	congress	PROPN
ijassa-1006	565	5	on	on	ADP
ijassa-1006	565	6	evolutionary	evolutionary	ADJ
ijassa-1006	565	7	computation	computation	NOUN
ijassa-1006	565	8	(	(	PUNCT
ijassa-1006	565	9	cec	cec	PROPN
ijassa-1006	565	10	2002	2002	NUM
ijassa-1006	565	11	)	)	PUNCT
ijassa-1006	565	12	(	(	PUNCT
ijassa-1006	565	13	honolulu	honolulu	PROPN
ijassa-1006	565	14	,	,	PUNCT
ijassa-1006	565	15	hi	hi	INTJ
ijassa-1006	565	16	)	)	PUNCT
ijassa-1006	565	17	.	.	PUNCT
ijassa-1006	566	1	34	34	NUM
ijassa-1006	566	2	.	.	PUNCT
ijassa-1006	566	3	mahdavi	mahdavi	PROPN
ijassa-1006	566	4	,	,	PUNCT
ijassa-1006	566	5	s.	s.	PROPN
ijassa-1006	566	6	,	,	PUNCT
ijassa-1006	566	7	rahnamayan	rahnamayan	PROPN
ijassa-1006	566	8	,	,	PUNCT
ijassa-1006	566	9	s.	s.	PROPN
ijassa-1006	566	10	,	,	PUNCT
ijassa-1006	566	11	&	&	CCONJ
ijassa-1006	566	12	deb	deb	PROPN
ijassa-1006	566	13	,	,	PUNCT
ijassa-1006	566	14	k.	k.	PROPN
ijassa-1006	566	15	(	(	PUNCT
ijassa-1006	566	16	2018	2018	NUM
ijassa-1006	566	17	)	)	PUNCT
ijassa-1006	566	18	.	.	PUNCT
ijassa-1006	567	1	opposition	opposition	NOUN
ijassa-1006	567	2	based	base	VERB
ijassa-1006	567	3	learning	learning	PROPN
ijassa-1006	567	4	:	:	PUNCT
ijassa-1006	567	5	a	a	DET
ijassa-1006	567	6	literature	literature	NOUN
ijassa-1006	567	7	review	review	NOUN
ijassa-1006	567	8	,	,	PUNCT
ijassa-1006	567	9	swarm	swarm	NOUN
ijassa-1006	567	10	and	and	CCONJ
ijassa-1006	567	11	evolutionary	evolutionary	ADJ
ijassa-1006	567	12	computation	computation	NOUN
ijassa-1006	567	13	,	,	PUNCT
ijassa-1006	567	14	39	39	NUM
ijassa-1006	567	15	,	,	PUNCT
ijassa-1006	567	16	1–23	1–23	NOUN
ijassa-1006	567	17	.	.	PROPN
ijassa-1006	567	18	35	35	NUM
ijassa-1006	567	19	.	.	PUNCT
ijassa-1006	568	1	markowitz	markowitz	PROPN
ijassa-1006	568	2	,	,	PUNCT
ijassa-1006	568	3	h.	h.	PROPN
ijassa-1006	568	4	(	(	PUNCT
ijassa-1006	568	5	2014	2014	NUM
ijassa-1006	568	6	)	)	PUNCT
ijassa-1006	568	7	.	.	PUNCT
ijassa-1006	569	1	mean	mean	ADJ
ijassa-1006	569	2	-	-	PUNCT
ijassa-1006	569	3	variance	variance	NOUN
ijassa-1006	569	4	approximations	approximation	NOUN
ijassa-1006	569	5	to	to	ADP
ijassa-1006	569	6	expected	expect	VERB
ijassa-1006	569	7	utility	utility	NOUN
ijassa-1006	569	8	,	,	PUNCT
ijassa-1006	569	9	european	european	ADJ
ijassa-1006	569	10	journal	journal	PROPN
ijassa-1006	569	11	of	of	ADP
ijassa-1006	569	12	operational	operational	ADJ
ijassa-1006	569	13	research	research	NOUN
ijassa-1006	569	14	,	,	PUNCT
ijassa-1006	569	15	234(2	234(2	NUM
ijassa-1006	569	16	)	)	PUNCT
ijassa-1006	569	17	,	,	PUNCT
ijassa-1006	569	18	346–355	346–355	NUM
ijassa-1006	569	19	.	.	PUNCT
ijassa-1006	570	1	36	36	NUM
ijassa-1006	570	2	.	.	PUNCT
ijassa-1006	570	3	meghwani	meghwani	PROPN
ijassa-1006	570	4	,	,	PUNCT
ijassa-1006	570	5	s.	s.	PROPN
ijassa-1006	570	6	s.	s.	PROPN
ijassa-1006	570	7	,	,	PUNCT
ijassa-1006	570	8	&	&	CCONJ
ijassa-1006	570	9	thakur	thakur	PROPN
ijassa-1006	570	10	,	,	PUNCT
ijassa-1006	570	11	m.	m.	NOUN
ijassa-1006	570	12	(	(	PUNCT
ijassa-1006	570	13	2017	2017	NUM
ijassa-1006	570	14	)	)	PUNCT
ijassa-1006	570	15	.	.	PUNCT
ijassa-1006	571	1	multi	multi	ADJ
ijassa-1006	571	2	-	-	ADJ
ijassa-1006	571	3	criteria	criterion	NOUN
ijassa-1006	571	4	algorithms	algorithm	NOUN
ijassa-1006	571	5	for	for	ADP
ijassa-1006	571	6	portfolio	portfolio	NOUN
ijassa-1006	571	7	optimization	optimization	NOUN
ijassa-1006	571	8	under	under	ADP
ijassa-1006	571	9	practical	practical	ADJ
ijassa-1006	571	10	constraints	constraint	NOUN
ijassa-1006	571	11	,	,	PUNCT
ijassa-1006	571	12	swarm	swarm	NOUN
ijassa-1006	571	13	and	and	CCONJ
ijassa-1006	571	14	evolutionary	evolutionary	ADJ
ijassa-1006	571	15	computation	computation	NOUN
ijassa-1006	571	16	,	,	PUNCT
ijassa-1006	571	17	37	37	NUM
ijassa-1006	571	18	,	,	PUNCT
ijassa-1006	571	19	104–125	104–125	NUM
ijassa-1006	571	20	.	.	PUNCT
ijassa-1006	572	1	37	37	NUM
ijassa-1006	572	2	.	.	PUNCT
ijassa-1006	573	1	metaxiotis	metaxiotis	PROPN
ijassa-1006	573	2	,	,	PUNCT
ijassa-1006	573	3	k.	k.	PROPN
ijassa-1006	573	4	,	,	PUNCT
ijassa-1006	573	5	&	&	CCONJ
ijassa-1006	573	6	liagkouras	liagkouras	PROPN
ijassa-1006	573	7	,	,	PUNCT
ijassa-1006	573	8	k.	k.	PROPN
ijassa-1006	573	9	(	(	PUNCT
ijassa-1006	573	10	2015	2015	NUM
ijassa-1006	573	11	)	)	PUNCT
ijassa-1006	573	12	.	.	PUNCT
ijassa-1006	574	1	the	the	DET
ijassa-1006	574	2	solution	solution	NOUN
ijassa-1006	574	3	of	of	ADP
ijassa-1006	574	4	the	the	DET
ijassa-1006	574	5	0	0	NUM
ijassa-1006	574	6	-	-	SYM
ijassa-1006	574	7	1	1	NUM
ijassa-1006	574	8	multi	multi	ADJ
ijassa-1006	574	9	-	-	ADJ
ijassa-1006	574	10	objective	objective	ADJ
ijassa-1006	574	11	knapsack	knapsack	NOUN
ijassa-1006	574	12	problem	problem	NOUN
ijassa-1006	574	13	with	with	ADP
ijassa-1006	574	14	the	the	DET
ijassa-1006	574	15	assistance	assistance	NOUN
ijassa-1006	574	16	of	of	ADP
ijassa-1006	574	17	multi	multi	ADJ
ijassa-1006	574	18	-	-	ADJ
ijassa-1006	574	19	objective	objective	ADJ
ijassa-1006	574	20	evolutionary	evolutionary	ADJ
ijassa-1006	574	21	algorithms	algorithm	NOUN
ijassa-1006	574	22	based	base	VERB
ijassa-1006	574	23	on	on	ADP
ijassa-1006	574	24	decomposition	decomposition	NOUN
ijassa-1006	574	25	:	:	PUNCT
ijassa-1006	574	26	a	a	DET
ijassa-1006	574	27	comparative	comparative	ADJ
ijassa-1006	574	28	study	study	NOUN
ijassa-1006	574	29	,	,	PUNCT
ijassa-1006	574	30	proc	proc	NOUN
ijassa-1006	574	31	.	.	PUNCT
ijassa-1006	575	1	of	of	ADP
ijassa-1006	575	2	the	the	DET
ijassa-1006	575	3	5th	5th	ADJ
ijassa-1006	575	4	international	international	ADJ
ijassa-1006	575	5	workshop	workshop	NOUN
ijassa-1006	575	6	on	on	ADP
ijassa-1006	575	7	computer	computer	NOUN
ijassa-1006	575	8	science	science	NOUN
ijassa-1006	575	9	and	and	CCONJ
ijassa-1006	575	10	engineering	engineering	NOUN
ijassa-1006	575	11	:	:	PUNCT
ijassa-1006	575	12	information	information	NOUN
ijassa-1006	575	13	processing	processing	NOUN
ijassa-1006	575	14	and	and	CCONJ
ijassa-1006	575	15	control	control	NOUN
ijassa-1006	575	16	engineering	engineering	NOUN
ijassa-1006	575	17	(	(	PUNCT
ijassa-1006	575	18	wcse	wcse	NOUN
ijassa-1006	575	19	2015ipce	2015ipce	NUM
ijassa-1006	575	20	)	)	PUNCT
ijassa-1006	575	21	(	(	PUNCT
ijassa-1006	575	22	moscow	moscow	PROPN
ijassa-1006	575	23	,	,	PUNCT
ijassa-1006	575	24	russia	russia	PROPN
ijassa-1006	575	25	)	)	PUNCT
ijassa-1006	575	26	.	.	PUNCT
ijassa-1006	576	1	38	38	NUM
ijassa-1006	576	2	.	.	PUNCT
ijassa-1006	577	1	mishra	mishra	PROPN
ijassa-1006	577	2	,	,	PUNCT
ijassa-1006	577	3	s.	s.	PROPN
ijassa-1006	577	4	k.	k.	PROPN
ijassa-1006	577	5	,	,	PUNCT
ijassa-1006	577	6	panda	panda	NOUN
ijassa-1006	577	7	,	,	PUNCT
ijassa-1006	577	8	g.	g.	PROPN
ijassa-1006	577	9	,	,	PUNCT
ijassa-1006	577	10	&	&	CCONJ
ijassa-1006	577	11	majhi	majhi	PROPN
ijassa-1006	577	12	,	,	PUNCT
ijassa-1006	577	13	r.	r.	PROPN
ijassa-1006	577	14	(	(	PUNCT
ijassa-1006	577	15	2014	2014	NUM
ijassa-1006	577	16	)	)	PUNCT
ijassa-1006	577	17	.	.	PUNCT
ijassa-1006	578	1	a	a	DET
ijassa-1006	578	2	comparative	comparative	ADJ
ijassa-1006	578	3	performance	performance	NOUN
ijassa-1006	578	4	assessment	assessment	NOUN
ijassa-1006	578	5	of	of	ADP
ijassa-1006	578	6	a	a	DET
ijassa-1006	578	7	set	set	NOUN
ijassa-1006	578	8	of	of	ADP
ijassa-1006	578	9	multiobjective	multiobjective	ADJ
ijassa-1006	578	10	algorithms	algorithm	NOUN
ijassa-1006	578	11	for	for	ADP
ijassa-1006	578	12	constrained	constrain	VERB
ijassa-1006	578	13	portfolio	portfolio	NOUN
ijassa-1006	578	14	assets	asset	NOUN
ijassa-1006	578	15	selection	selection	NOUN
ijassa-1006	578	16	,	,	PUNCT
ijassa-1006	578	17	swarm	swarm	NOUN
ijassa-1006	578	18	and	and	CCONJ
ijassa-1006	578	19	a	a	DET
ijassa-1006	578	20	novel	novel	ADJ
ijassa-1006	578	21	two	two	NUM
ijassa-1006	578	22	-	-	PUNCT
ijassa-1006	578	23	stage	stage	NOUN
ijassa-1006	578	24	hybrid	hybrid	ADJ
ijassa-1006	578	25	multi	multi	ADJ
ijassa-1006	578	26	-	-	ADJ
ijassa-1006	578	27	objective	objective	ADJ
ijassa-1006	578	28	differential	differential	ADJ
ijassa-1006	578	29	evolution	evolution	NOUN
ijassa-1006	578	30	…	…	PUNCT
ijassa-1006	578	31	177	177	NUM
ijassa-1006	578	32	copyright	copyright	NOUN
ijassa-1006	578	33	©	©	PROPN
ijassa-1006	578	34	2023	2023	NUM
ijassa-1006	578	35	assa	assa	NOUN
ijassa-1006	578	36	.	.	PUNCT
ijassa-1006	579	1	adv	adv	PROPN
ijassa-1006	579	2	.	.	PUNCT
ijassa-1006	580	1	in	in	ADP
ijassa-1006	580	2	systems	system	NOUN
ijassa-1006	580	3	science	science	NOUN
ijassa-1006	580	4	and	and	CCONJ
ijassa-1006	580	5	appl	appl	NOUN
ijassa-1006	580	6	.	.	PUNCT
ijassa-1006	581	1	(	(	PUNCT
ijassa-1006	581	2	2023	2023	NUM
ijassa-1006	581	3	)	)	PUNCT
ijassa-1006	581	4	evolutionary	evolutionary	ADJ
ijassa-1006	581	5	computation	computation	NOUN
ijassa-1006	581	6	,	,	PUNCT
ijassa-1006	581	7	16	16	NUM
ijassa-1006	581	8	,	,	PUNCT
ijassa-1006	581	9	38–51	38–51	NUM
ijassa-1006	581	10	.	.	NOUN
ijassa-1006	581	11	39	39	NUM
ijassa-1006	581	12	.	.	PUNCT
ijassa-1006	582	1	p	p	X
ijassa-1006	582	2	-	-	PUNCT
ijassa-1006	582	3	n	n	CCONJ
ijassa-1006	582	4	-	-	PUNCT
ijassa-1006	582	5	suganthan	suganthan	NOUN
ijassa-1006	582	6	.	.	PUNCT
ijassa-1006	583	1	(	(	PUNCT
ijassa-1006	583	2	2017	2017	NUM
ijassa-1006	583	3	)	)	PUNCT
ijassa-1006	583	4	.	.	PUNCT
ijassa-1006	584	1	large	large	ADJ
ijassa-1006	584	2	-	-	PUNCT
ijassa-1006	584	3	scale	scale	NOUN
ijassa-1006	584	4	portfolio	portfolio	NOUN
ijassa-1006	584	5	optimization	optimization	NOUN
ijassa-1006	584	6	using	use	VERB
ijassa-1006	584	7	multiobjective	multiobjective	ADJ
ijassa-1006	584	8	evolutionary	evolutionary	ADJ
ijassa-1006	584	9	algorithms	algorithm	NOUN
ijassa-1006	584	10	and	and	CCONJ
ijassa-1006	584	11	preselection	preselection	NOUN
ijassa-1006	584	12	methods	method	NOUN
ijassa-1006	584	13	,	,	PUNCT
ijassa-1006	584	14	[	[	X
ijassa-1006	584	15	online	online	X
ijassa-1006	584	16	]	]	X
ijassa-1006	584	17	.	.	PUNCT
ijassa-1006	585	1	available	available	ADJ
ijassa-1006	585	2	:	:	PUNCT
ijassa-1006	585	3	https://github.com/p-n-suganthan/codes/blob/master/2017-mpe-portfolio.rar	https://github.com/p-n-suganthan/codes/blob/master/2017-mpe-portfolio.rar	NUM
ijassa-1006	585	4	40	40	NUM
ijassa-1006	585	5	.	.	PUNCT
ijassa-1006	586	1	pai	pai	PROPN
ijassa-1006	586	2	,	,	PUNCT
ijassa-1006	586	3	g.	g.	PROPN
ijassa-1006	586	4	a.	a.	PROPN
ijassa-1006	586	5	v.	v.	PROPN
ijassa-1006	586	6	(	(	PUNCT
ijassa-1006	586	7	2019	2019	NUM
ijassa-1006	586	8	)	)	PUNCT
ijassa-1006	586	9	.	.	PUNCT
ijassa-1006	587	1	multi	multi	ADJ
ijassa-1006	587	2	-	-	ADJ
ijassa-1006	587	3	objective	objective	ADJ
ijassa-1006	587	4	metaheuristics	metaheuristic	NOUN
ijassa-1006	587	5	for	for	ADP
ijassa-1006	587	6	managing	manage	VERB
ijassa-1006	587	7	futures	future	NOUN
ijassa-1006	587	8	portfolio	portfolio	NOUN
ijassa-1006	587	9	risk	risk	NOUN
ijassa-1006	587	10	,	,	PUNCT
ijassa-1006	587	11	proc	proc	NOUN
ijassa-1006	587	12	.	.	PUNCT
ijassa-1006	588	1	of	of	ADP
ijassa-1006	588	2	the	the	DET
ijassa-1006	588	3	2018	2018	NUM
ijassa-1006	588	4	ieee	ieee	NOUN
ijassa-1006	588	5	symposium	symposium	NOUN
ijassa-1006	588	6	series	series	NOUN
ijassa-1006	588	7	on	on	ADP
ijassa-1006	588	8	computational	computational	ADJ
ijassa-1006	588	9	intelligence	intelligence	NOUN
ijassa-1006	588	10	(	(	PUNCT
ijassa-1006	588	11	ssci	ssci	PROPN
ijassa-1006	588	12	2018	2018	NUM
ijassa-1006	588	13	)	)	PUNCT
ijassa-1006	588	14	(	(	PUNCT
ijassa-1006	588	15	bangalore	bangalore	PROPN
ijassa-1006	588	16	,	,	PUNCT
ijassa-1006	588	17	india	india	PROPN
ijassa-1006	588	18	)	)	PUNCT
ijassa-1006	588	19	.	.	PUNCT
ijassa-1006	589	1	41	41	NUM
ijassa-1006	589	2	.	.	PUNCT
ijassa-1006	589	3	pant	pant	NOUN
ijassa-1006	589	4	,	,	PUNCT
ijassa-1006	589	5	m.	m.	NOUN
ijassa-1006	589	6	,	,	PUNCT
ijassa-1006	589	7	thangaraj	thangaraj	PROPN
ijassa-1006	589	8	,	,	PUNCT
ijassa-1006	589	9	r.	r.	PROPN
ijassa-1006	589	10	,	,	PUNCT
ijassa-1006	589	11	&	&	CCONJ
ijassa-1006	589	12	abraham	abraham	PROPN
ijassa-1006	589	13	,	,	PUNCT
ijassa-1006	589	14	a.	a.	NOUN
ijassa-1006	589	15	(	(	PUNCT
ijassa-1006	589	16	2011	2011	NUM
ijassa-1006	589	17	)	)	PUNCT
ijassa-1006	589	18	.	.	PUNCT
ijassa-1006	590	1	de	de	PROPN
ijassa-1006	590	2	-	-	NOUN
ijassa-1006	590	3	pso	pso	NOUN
ijassa-1006	590	4	:	:	PUNCT
ijassa-1006	590	5	a	a	DET
ijassa-1006	590	6	new	new	ADJ
ijassa-1006	590	7	hybrid	hybrid	ADJ
ijassa-1006	590	8	metaheuristic	metaheuristic	NOUN
ijassa-1006	590	9	for	for	ADP
ijassa-1006	590	10	solving	solve	VERB
ijassa-1006	590	11	global	global	ADJ
ijassa-1006	590	12	optimization	optimization	NOUN
ijassa-1006	590	13	problems	problem	NOUN
ijassa-1006	590	14	.	.	PUNCT
ijassa-1006	591	1	new	new	ADJ
ijassa-1006	591	2	mathematics	mathematic	NOUN
ijassa-1006	591	3	and	and	CCONJ
ijassa-1006	591	4	natural	natural	ADJ
ijassa-1006	591	5	computation	computation	NOUN
ijassa-1006	591	6	,	,	PUNCT
ijassa-1006	591	7	07(03	07(03	PROPN
ijassa-1006	591	8	)	)	PUNCT
ijassa-1006	591	9	363–381	363–381	NUM
ijassa-1006	591	10	.	.	PUNCT
ijassa-1006	592	1	42	42	NUM
ijassa-1006	592	2	.	.	PUNCT
ijassa-1006	592	3	park	park	PROPN
ijassa-1006	592	4	,	,	PUNCT
ijassa-1006	592	5	s.	s.	PROPN
ijassa-1006	592	6	y.	y.	PROPN
ijassa-1006	592	7	,	,	PUNCT
ijassa-1006	592	8	&	&	CCONJ
ijassa-1006	592	9	lee	lee	PROPN
ijassa-1006	592	10	,	,	PUNCT
ijassa-1006	592	11	j.	j.	PROPN
ijassa-1006	592	12	j.	j.	PROPN
ijassa-1006	592	13	(	(	PUNCT
ijassa-1006	592	14	2016	2016	NUM
ijassa-1006	592	15	)	)	PUNCT
ijassa-1006	592	16	.	.	PUNCT
ijassa-1006	593	1	stochastic	stochastic	ADJ
ijassa-1006	593	2	opposition	opposition	NOUN
ijassa-1006	593	3	-	-	PUNCT
ijassa-1006	593	4	based	base	VERB
ijassa-1006	593	5	learning	learning	NOUN
ijassa-1006	593	6	using	use	VERB
ijassa-1006	593	7	a	a	DET
ijassa-1006	593	8	beta	beta	ADJ
ijassa-1006	593	9	distribution	distribution	NOUN
ijassa-1006	593	10	in	in	ADP
ijassa-1006	593	11	differential	differential	ADJ
ijassa-1006	593	12	evolution	evolution	NOUN
ijassa-1006	593	13	,	,	PUNCT
ijassa-1006	593	14	ieee	ieee	NOUN
ijassa-1006	593	15	transactions	transaction	NOUN
ijassa-1006	593	16	on	on	ADP
ijassa-1006	593	17	cybernetics	cybernetic	NOUN
ijassa-1006	593	18	,	,	PUNCT
ijassa-1006	593	19	46(10	46(10	NUM
ijassa-1006	593	20	)	)	PUNCT
ijassa-1006	593	21	,	,	PUNCT
ijassa-1006	593	22	2184–2194	2184–2194	NUM
ijassa-1006	593	23	.	.	NOUN
ijassa-1006	593	24	43	43	NUM
ijassa-1006	593	25	.	.	PUNCT
ijassa-1006	594	1	ponsich	ponsich	PROPN
ijassa-1006	594	2	,	,	PUNCT
ijassa-1006	594	3	a.	a.	NOUN
ijassa-1006	594	4	,	,	PUNCT
ijassa-1006	594	5	jaimes	jaime	NOUN
ijassa-1006	594	6	,	,	PUNCT
ijassa-1006	594	7	a.	a.	PROPN
ijassa-1006	594	8	l.	l.	PROPN
ijassa-1006	594	9	,	,	PUNCT
ijassa-1006	594	10	&	&	CCONJ
ijassa-1006	594	11	coello	coello	PROPN
ijassa-1006	594	12	,	,	PUNCT
ijassa-1006	594	13	c.	c.	PROPN
ijassa-1006	594	14	a.	a.	PROPN
ijassa-1006	594	15	c.	c.	PROPN
ijassa-1006	594	16	(	(	PUNCT
ijassa-1006	594	17	2013	2013	NUM
ijassa-1006	594	18	)	)	PUNCT
ijassa-1006	594	19	.	.	PUNCT
ijassa-1006	595	1	a	a	DET
ijassa-1006	595	2	survey	survey	NOUN
ijassa-1006	595	3	on	on	ADP
ijassa-1006	595	4	multiobjective	multiobjective	ADJ
ijassa-1006	595	5	evolutionary	evolutionary	ADJ
ijassa-1006	595	6	algorithms	algorithm	NOUN
ijassa-1006	595	7	for	for	ADP
ijassa-1006	595	8	the	the	DET
ijassa-1006	595	9	solution	solution	NOUN
ijassa-1006	595	10	of	of	ADP
ijassa-1006	595	11	the	the	DET
ijassa-1006	595	12	portfolio	portfolio	NOUN
ijassa-1006	595	13	optimization	optimization	NOUN
ijassa-1006	595	14	problem	problem	NOUN
ijassa-1006	595	15	and	and	CCONJ
ijassa-1006	595	16	other	other	ADJ
ijassa-1006	595	17	finance	finance	NOUN
ijassa-1006	595	18	and	and	CCONJ
ijassa-1006	595	19	economics	economic	NOUN
ijassa-1006	595	20	applications	application	NOUN
ijassa-1006	595	21	,	,	PUNCT
ijassa-1006	595	22	ieee	ieee	NOUN
ijassa-1006	595	23	transactions	transaction	NOUN
ijassa-1006	595	24	on	on	ADP
ijassa-1006	595	25	evolutionary	evolutionary	ADJ
ijassa-1006	595	26	computation	computation	NOUN
ijassa-1006	595	27	,	,	PUNCT
ijassa-1006	595	28	17(3	17(3	NUM
ijassa-1006	595	29	)	)	PUNCT
ijassa-1006	595	30	,	,	PUNCT
ijassa-1006	595	31	321–344	321–344	NUM
ijassa-1006	595	32	.	.	PUNCT
ijassa-1006	595	33	44	44	NUM
ijassa-1006	595	34	.	.	PUNCT
ijassa-1006	596	1	qian	qian	PROPN
ijassa-1006	596	2	,	,	PUNCT
ijassa-1006	596	3	w.	w.	PROPN
ijassa-1006	596	4	,	,	PUNCT
ijassa-1006	596	5	&	&	CCONJ
ijassa-1006	596	6	li	li	PROPN
ijassa-1006	596	7	,	,	PUNCT
ijassa-1006	596	8	a.	a.	PROPN
ijassa-1006	596	9	(	(	PUNCT
ijassa-1006	596	10	2008	2008	NUM
ijassa-1006	596	11	)	)	PUNCT
ijassa-1006	596	12	.	.	PUNCT
ijassa-1006	597	1	adaptive	adaptive	ADJ
ijassa-1006	597	2	differential	differential	PROPN
ijassa-1006	597	3	evolution	evolution	NOUN
ijassa-1006	597	4	algorithm	algorithm	NOUN
ijassa-1006	597	5	for	for	ADP
ijassa-1006	597	6	multiobjective	multiobjective	ADJ
ijassa-1006	597	7	optimization	optimization	NOUN
ijassa-1006	597	8	problems	problem	NOUN
ijassa-1006	597	9	,	,	PUNCT
ijassa-1006	597	10	applied	apply	VERB
ijassa-1006	597	11	mathematics	mathematic	NOUN
ijassa-1006	597	12	and	and	CCONJ
ijassa-1006	597	13	computation	computation	NOUN
ijassa-1006	597	14	,	,	PUNCT
ijassa-1006	597	15	201(1–2	201(1–2	NUM
ijassa-1006	597	16	)	)	PUNCT
ijassa-1006	597	17	,	,	PUNCT
ijassa-1006	597	18	431–440	431–440	NUM
ijassa-1006	597	19	.	.	PUNCT
ijassa-1006	598	1	45	45	NUM
ijassa-1006	598	2	.	.	PUNCT
ijassa-1006	599	1	quintana	quintana	PROPN
ijassa-1006	599	2	,	,	PUNCT
ijassa-1006	599	3	d.	d.	PROPN
ijassa-1006	599	4	,	,	PUNCT
ijassa-1006	599	5	denysiuk	denysiuk	PROPN
ijassa-1006	599	6	,	,	PUNCT
ijassa-1006	599	7	r.	r.	PROPN
ijassa-1006	599	8	,	,	PUNCT
ijassa-1006	599	9	garcia	garcia	PROPN
ijassa-1006	599	10	-	-	PUNCT
ijassa-1006	599	11	rodriguez	rodriguez	PROPN
ijassa-1006	599	12	,	,	PUNCT
ijassa-1006	599	13	s.	s.	PROPN
ijassa-1006	599	14	,	,	PUNCT
ijassa-1006	599	15	&	&	CCONJ
ijassa-1006	599	16	gaspar	gaspar	PROPN
ijassa-1006	599	17	-	-	PUNCT
ijassa-1006	599	18	cunha	cunha	NOUN
ijassa-1006	599	19	,	,	PUNCT
ijassa-1006	599	20	a.	a.	NOUN
ijassa-1006	599	21	(	(	PUNCT
ijassa-1006	599	22	2017	2017	NUM
ijassa-1006	599	23	)	)	PUNCT
ijassa-1006	599	24	.	.	PUNCT
ijassa-1006	600	1	portfolio	portfolio	NOUN
ijassa-1006	600	2	implementation	implementation	NOUN
ijassa-1006	600	3	risk	risk	NOUN
ijassa-1006	600	4	management	management	NOUN
ijassa-1006	600	5	using	use	VERB
ijassa-1006	600	6	evolutionary	evolutionary	ADJ
ijassa-1006	600	7	multiobjective	multiobjective	ADJ
ijassa-1006	600	8	optimization	optimization	NOUN
ijassa-1006	600	9	,	,	PUNCT
ijassa-1006	600	10	applied	apply	VERB
ijassa-1006	600	11	sciences	science	NOUN
ijassa-1006	600	12	,	,	PUNCT
ijassa-1006	600	13	7(10	7(10	NUM
ijassa-1006	600	14	)	)	PUNCT
ijassa-1006	600	15	,	,	PUNCT
ijassa-1006	600	16	1079	1079	NUM
ijassa-1006	600	17	.	.	PUNCT
ijassa-1006	601	1	46	46	NUM
ijassa-1006	601	2	.	.	PUNCT
ijassa-1006	601	3	rahnamayan	rahnamayan	PROPN
ijassa-1006	601	4	,	,	PUNCT
ijassa-1006	601	5	r.	r.	PROPN
ijassa-1006	601	6	s.	s.	PROPN
ijassa-1006	601	7	,	,	PUNCT
ijassa-1006	601	8	tizhoosh	tizhoosh	PROPN
ijassa-1006	601	9	,	,	PUNCT
ijassa-1006	601	10	h.	h.	PROPN
ijassa-1006	601	11	r.	r.	PROPN
ijassa-1006	601	12	,	,	PUNCT
ijassa-1006	601	13	&	&	CCONJ
ijassa-1006	601	14	salama	salama	NOUN
ijassa-1006	601	15	,	,	PUNCT
ijassa-1006	601	16	m.	m.	NOUN
ijassa-1006	601	17	m.	m.	PROPN
ijassa-1006	601	18	a.	a.	PROPN
ijassa-1006	601	19	(	(	PUNCT
ijassa-1006	601	20	2008	2008	NUM
ijassa-1006	601	21	)	)	PUNCT
ijassa-1006	601	22	.	.	PUNCT
ijassa-1006	602	1	opposition	opposition	NOUN
ijassa-1006	602	2	-	-	PUNCT
ijassa-1006	602	3	based	base	VERB
ijassa-1006	602	4	differential	differential	NOUN
ijassa-1006	602	5	evolution	evolution	NOUN
ijassa-1006	602	6	,	,	PUNCT
ijassa-1006	602	7	ieee	ieee	NOUN
ijassa-1006	602	8	transactions	transaction	NOUN
ijassa-1006	602	9	on	on	ADP
ijassa-1006	602	10	evolutionary	evolutionary	ADJ
ijassa-1006	602	11	computation	computation	NOUN
ijassa-1006	602	12	,	,	PUNCT
ijassa-1006	602	13	12(1	12(1	NUM
ijassa-1006	602	14	)	)	PUNCT
ijassa-1006	602	15	,	,	PUNCT
ijassa-1006	602	16	64–79	64–79	ADV
ijassa-1006	602	17	.	.	PUNCT
ijassa-1006	603	1	47	47	NUM
ijassa-1006	603	2	.	.	PUNCT
ijassa-1006	604	1	rakshit	rakshit	NOUN
ijassa-1006	604	2	,	,	PUNCT
ijassa-1006	604	3	p.	p.	PROPN
ijassa-1006	604	4	,	,	PUNCT
ijassa-1006	604	5	konar	konar	PROPN
ijassa-1006	604	6	,	,	PUNCT
ijassa-1006	604	7	a.	a.	PROPN
ijassa-1006	604	8	,	,	PUNCT
ijassa-1006	604	9	das	das	PROPN
ijassa-1006	604	10	,	,	PUNCT
ijassa-1006	604	11	s.	s.	PROPN
ijassa-1006	604	12	,	,	PUNCT
ijassa-1006	604	13	jain	jain	PROPN
ijassa-1006	604	14	,	,	PUNCT
ijassa-1006	604	15	l.	l.	PROPN
ijassa-1006	604	16	c.	c.	PROPN
ijassa-1006	604	17	,	,	PUNCT
ijassa-1006	604	18	&	&	CCONJ
ijassa-1006	604	19	nagar	nagar	PROPN
ijassa-1006	604	20	,	,	PUNCT
ijassa-1006	604	21	a.	a.	PROPN
ijassa-1006	604	22	k.	k.	PROPN
ijassa-1006	604	23	(	(	PUNCT
ijassa-1006	604	24	2014	2014	NUM
ijassa-1006	604	25	)	)	PUNCT
ijassa-1006	604	26	.	.	PUNCT
ijassa-1006	605	1	uncertainty	uncertainty	NOUN
ijassa-1006	605	2	management	management	NOUN
ijassa-1006	605	3	in	in	ADP
ijassa-1006	605	4	differential	differential	ADJ
ijassa-1006	605	5	evolution	evolution	NOUN
ijassa-1006	605	6	induced	induce	VERB
ijassa-1006	605	7	multiobjective	multiobjective	ADJ
ijassa-1006	605	8	optimization	optimization	NOUN
ijassa-1006	605	9	in	in	ADP
ijassa-1006	605	10	presence	presence	NOUN
ijassa-1006	605	11	of	of	ADP
ijassa-1006	605	12	measurement	measurement	NOUN
ijassa-1006	605	13	noise	noise	NOUN
ijassa-1006	605	14	,	,	PUNCT
ijassa-1006	605	15	ieee	ieee	NOUN
ijassa-1006	605	16	transactions	transaction	NOUN
ijassa-1006	605	17	on	on	ADP
ijassa-1006	605	18	systems	system	NOUN
ijassa-1006	605	19	,	,	PUNCT
ijassa-1006	605	20	man	man	NOUN
ijassa-1006	605	21	,	,	PUNCT
ijassa-1006	605	22	and	and	CCONJ
ijassa-1006	605	23	cybernetics	cybernetic	NOUN
ijassa-1006	605	24	:	:	PUNCT
ijassa-1006	605	25	systems	system	NOUN
ijassa-1006	605	26	,	,	PUNCT
ijassa-1006	605	27	44(7	44(7	NOUN
ijassa-1006	605	28	)	)	PUNCT
ijassa-1006	605	29	,	,	PUNCT
ijassa-1006	605	30	922–937	922–937	NUM
ijassa-1006	605	31	.	.	NOUN
ijassa-1006	605	32	48	48	NUM
ijassa-1006	605	33	.	.	PUNCT
ijassa-1006	606	1	robič	robič	PROPN
ijassa-1006	606	2	,	,	PUNCT
ijassa-1006	606	3	t.	t.	PROPN
ijassa-1006	606	4	,	,	PUNCT
ijassa-1006	606	5	&	&	CCONJ
ijassa-1006	606	6	filipič	filipič	PROPN
ijassa-1006	606	7	,	,	PUNCT
ijassa-1006	606	8	b.	b.	PROPN
ijassa-1006	606	9	(	(	PUNCT
ijassa-1006	606	10	2005	2005	NUM
ijassa-1006	606	11	)	)	PUNCT
ijassa-1006	606	12	.	.	PUNCT
ijassa-1006	607	1	demo	demo	NOUN
ijassa-1006	607	2	:	:	PUNCT
ijassa-1006	607	3	differential	differential	VERB
ijassa-1006	607	4	evolution	evolution	NOUN
ijassa-1006	607	5	for	for	ADP
ijassa-1006	607	6	multiobjective	multiobjective	ADJ
ijassa-1006	607	7	optimization	optimization	NOUN
ijassa-1006	607	8	,	,	PUNCT
ijassa-1006	607	9	proc	proc	NOUN
ijassa-1006	607	10	.	.	PUNCT
ijassa-1006	608	1	of	of	ADP
ijassa-1006	608	2	the	the	DET
ijassa-1006	608	3	3rd	3rd	ADJ
ijassa-1006	608	4	international	international	ADJ
ijassa-1006	608	5	conference	conference	NOUN
ijassa-1006	608	6	evolutionary	evolutionary	ADJ
ijassa-1006	608	7	multi	multi	ADJ
ijassa-1006	608	8	-	-	ADJ
ijassa-1006	608	9	criterion	criterion	NOUN
ijassa-1006	608	10	optimization	optimization	NOUN
ijassa-1006	608	11	(	(	PUNCT
ijassa-1006	608	12	emo	emo	NOUN
ijassa-1006	608	13	2005	2005	NUM
ijassa-1006	608	14	)	)	PUNCT
ijassa-1006	608	15	(	(	PUNCT
ijassa-1006	608	16	guanajuato	guanajuato	PROPN
ijassa-1006	608	17	,	,	PUNCT
ijassa-1006	608	18	mexico	mexico	PROPN
ijassa-1006	608	19	)	)	PUNCT
ijassa-1006	608	20	.	.	PUNCT
ijassa-1006	609	1	49	49	NUM
ijassa-1006	609	2	.	.	PUNCT
ijassa-1006	610	1	santana	santana	PROPN
ijassa-1006	610	2	-	-	PUNCT
ijassa-1006	610	3	quintero	quintero	PROPN
ijassa-1006	610	4	,	,	PUNCT
ijassa-1006	610	5	l.	l.	PROPN
ijassa-1006	610	6	v.	v.	PROPN
ijassa-1006	610	7	,	,	PUNCT
ijassa-1006	610	8	hernández	hernández	NOUN
ijassa-1006	610	9	-	-	PUNCT
ijassa-1006	610	10	díaz	díaz	NOUN
ijassa-1006	610	11	,	,	PUNCT
ijassa-1006	610	12	a.	a.	NOUN
ijassa-1006	610	13	g.	g.	PROPN
ijassa-1006	610	14	,	,	PUNCT
ijassa-1006	610	15	molina	molina	PROPN
ijassa-1006	610	16	,	,	PUNCT
ijassa-1006	610	17	j.	j.	PROPN
ijassa-1006	610	18	,	,	PUNCT
ijassa-1006	610	19	coello	coello	PROPN
ijassa-1006	610	20	coello	coello	PROPN
ijassa-1006	610	21	,	,	PUNCT
ijassa-1006	610	22	c.	c.	PROPN
ijassa-1006	610	23	a.	a.	PROPN
ijassa-1006	610	24	,	,	PUNCT
ijassa-1006	610	25	&	&	CCONJ
ijassa-1006	610	26	caballero	caballero	PROPN
ijassa-1006	610	27	,	,	PUNCT
ijassa-1006	610	28	r.	r.	PROPN
ijassa-1006	610	29	(	(	PUNCT
ijassa-1006	610	30	2010	2010	NUM
ijassa-1006	610	31	)	)	PUNCT
ijassa-1006	610	32	.	.	PUNCT
ijassa-1006	611	1	demors	demor	NOUN
ijassa-1006	611	2	:	:	PUNCT
ijassa-1006	611	3	a	a	DET
ijassa-1006	611	4	hybrid	hybrid	ADJ
ijassa-1006	611	5	multi	multi	ADJ
ijassa-1006	611	6	-	-	ADJ
ijassa-1006	611	7	objective	objective	ADJ
ijassa-1006	611	8	optimization	optimization	NOUN
ijassa-1006	611	9	algorithm	algorithm	NOUN
ijassa-1006	611	10	using	use	VERB
ijassa-1006	611	11	differential	differential	ADJ
ijassa-1006	611	12	evolution	evolution	NOUN
ijassa-1006	611	13	and	and	CCONJ
ijassa-1006	611	14	rough	rough	ADJ
ijassa-1006	611	15	set	set	NOUN
ijassa-1006	611	16	theory	theory	NOUN
ijassa-1006	611	17	for	for	ADP
ijassa-1006	611	18	constrained	constrain	VERB
ijassa-1006	611	19	problems	problem	NOUN
ijassa-1006	611	20	,	,	PUNCT
ijassa-1006	611	21	computers	computer	NOUN
ijassa-1006	611	22	and	and	CCONJ
ijassa-1006	611	23	operations	operation	NOUN
ijassa-1006	611	24	research	research	NOUN
ijassa-1006	611	25	,	,	PUNCT
ijassa-1006	611	26	37(3	37(3	NUM
ijassa-1006	611	27	)	)	PUNCT
ijassa-1006	611	28	,	,	PUNCT
ijassa-1006	611	29	470–480	470–480	NUM
ijassa-1006	611	30	.	.	PUNCT
ijassa-1006	612	1	50	50	NUM
ijassa-1006	612	2	.	.	X
ijassa-1006	612	3	schott	schott	PROPN
ijassa-1006	612	4	,	,	PUNCT
ijassa-1006	612	5	j.	j.	PROPN
ijassa-1006	612	6	r.	r.	PROPN
ijassa-1006	612	7	(	(	PUNCT
ijassa-1006	612	8	1995	1995	NUM
ijassa-1006	612	9	)	)	PUNCT
ijassa-1006	612	10	.	.	PUNCT
ijassa-1006	613	1	fault	fault	VERB
ijassa-1006	613	2	tolerant	tolerant	ADJ
ijassa-1006	613	3	design	design	NOUN
ijassa-1006	613	4	using	use	VERB
ijassa-1006	613	5	single	single	ADJ
ijassa-1006	613	6	and	and	CCONJ
ijassa-1006	613	7	multicriteria	multicriteria	PROPN
ijassa-1006	613	8	genetic	genetic	ADJ
ijassa-1006	613	9	algorithm	algorithm	NOUN
ijassa-1006	613	10	optimization	optimization	NOUN
ijassa-1006	613	11	.	.	PUNCT
ijassa-1006	614	1	ph.d	ph.d	PROPN
ijassa-1006	614	2	thesis	thesis	PROPN
ijassa-1006	614	3	,	,	PUNCT
ijassa-1006	614	4	massachusetts	massachusetts	PROPN
ijassa-1006	614	5	institute	institute	PROPN
ijassa-1006	614	6	of	of	ADP
ijassa-1006	614	7	technology	technology	PROPN
ijassa-1006	614	8	.	.	PUNCT
ijassa-1006	615	1	51	51	NUM
ijassa-1006	615	2	.	.	PUNCT
ijassa-1006	615	3	sharma	sharma	PROPN
ijassa-1006	615	4	,	,	PUNCT
ijassa-1006	615	5	s.	s.	PROPN
ijassa-1006	615	6	,	,	PUNCT
ijassa-1006	615	7	&	&	CCONJ
ijassa-1006	615	8	rangaiah	rangaiah	PROPN
ijassa-1006	615	9	,	,	PUNCT
ijassa-1006	615	10	g.	g.	PROPN
ijassa-1006	615	11	p.	p.	PROPN
ijassa-1006	615	12	(	(	PUNCT
ijassa-1006	615	13	2013	2013	NUM
ijassa-1006	615	14	)	)	PUNCT
ijassa-1006	615	15	.	.	PUNCT
ijassa-1006	616	1	an	an	DET
ijassa-1006	616	2	improved	improved	ADJ
ijassa-1006	616	3	multi	multi	ADJ
ijassa-1006	616	4	-	-	ADJ
ijassa-1006	616	5	objective	objective	ADJ
ijassa-1006	616	6	differential	differential	ADJ
ijassa-1006	616	7	evolution	evolution	NOUN
ijassa-1006	616	8	with	with	ADP
ijassa-1006	616	9	a	a	DET
ijassa-1006	616	10	termination	termination	NOUN
ijassa-1006	616	11	criterion	criterion	NOUN
ijassa-1006	616	12	for	for	ADP
ijassa-1006	616	13	optimizing	optimize	VERB
ijassa-1006	616	14	chemical	chemical	NOUN
ijassa-1006	616	15	processes	process	NOUN
ijassa-1006	616	16	,	,	PUNCT
ijassa-1006	616	17	computers	computer	NOUN
ijassa-1006	616	18	and	and	CCONJ
ijassa-1006	616	19	chemical	chemical	NOUN
ijassa-1006	616	20	engineering	engineering	NOUN
ijassa-1006	616	21	,	,	PUNCT
ijassa-1006	616	22	56	56	NUM
ijassa-1006	616	23	,	,	PUNCT
ijassa-1006	616	24	155–173	155–173	NUM
ijassa-1006	616	25	.	.	PROPN
ijassa-1006	617	1	52	52	NUM
ijassa-1006	617	2	.	.	PUNCT
ijassa-1006	618	1	shen	shen	PROPN
ijassa-1006	618	2	,	,	PUNCT
ijassa-1006	618	3	y.	y.	PROPN
ijassa-1006	618	4	,	,	PUNCT
ijassa-1006	618	5	&	&	CCONJ
ijassa-1006	618	6	wang	wang	PROPN
ijassa-1006	618	7	,	,	PUNCT
ijassa-1006	618	8	y.	y.	PROPN
ijassa-1006	618	9	(	(	PUNCT
ijassa-1006	618	10	2017	2017	NUM
ijassa-1006	618	11	)	)	PUNCT
ijassa-1006	618	12	.	.	PUNCT
ijassa-1006	619	1	operating	operating	NOUN
ijassa-1006	619	2	point	point	NOUN
ijassa-1006	619	3	optimization	optimization	NOUN
ijassa-1006	619	4	of	of	ADP
ijassa-1006	619	5	auxiliary	auxiliary	ADJ
ijassa-1006	619	6	power	power	NOUN
ijassa-1006	619	7	unit	unit	NOUN
ijassa-1006	619	8	using	use	VERB
ijassa-1006	619	9	adaptive	adaptive	ADJ
ijassa-1006	619	10	multi	multi	ADJ
ijassa-1006	619	11	-	-	ADJ
ijassa-1006	619	12	objective	objective	ADJ
ijassa-1006	619	13	differential	differential	ADJ
ijassa-1006	619	14	evolution	evolution	NOUN
ijassa-1006	619	15	algorithm	algorithm	NOUN
ijassa-1006	619	16	,	,	PUNCT
ijassa-1006	619	17	ieee	ieee	NOUN
ijassa-1006	619	18	transactions	transaction	NOUN
ijassa-1006	619	19	on	on	ADP
ijassa-1006	619	20	industrial	industrial	ADJ
ijassa-1006	619	21	electronics	electronic	NOUN
ijassa-1006	619	22	,	,	PUNCT
ijassa-1006	619	23	64(1	64(1	NUM
ijassa-1006	619	24	)	)	PUNCT
ijassa-1006	619	25	,	,	PUNCT
ijassa-1006	619	26	115–124	115–124	NUM
ijassa-1006	619	27	.	.	PUNCT
ijassa-1006	620	1	53	53	NUM
ijassa-1006	620	2	.	.	X
ijassa-1006	620	3	tang	tang	PROPN
ijassa-1006	620	4	,	,	PUNCT
ijassa-1006	620	5	l.	l.	PROPN
ijassa-1006	620	6	,	,	PUNCT
ijassa-1006	620	7	wang	wang	PROPN
ijassa-1006	620	8	,	,	PUNCT
ijassa-1006	620	9	x.	x.	PROPN
ijassa-1006	620	10	,	,	PUNCT
ijassa-1006	620	11	&	&	CCONJ
ijassa-1006	620	12	dong	dong	PROPN
ijassa-1006	620	13	,	,	PUNCT
ijassa-1006	620	14	z.	z.	PROPN
ijassa-1006	620	15	(	(	PUNCT
ijassa-1006	620	16	2019	2019	NUM
ijassa-1006	620	17	)	)	PUNCT
ijassa-1006	620	18	.	.	PUNCT
ijassa-1006	621	1	adaptive	adaptive	ADJ
ijassa-1006	621	2	multiobjective	multiobjective	ADJ
ijassa-1006	621	3	differential	differential	NOUN
ijassa-1006	621	4	evolution	evolution	NOUN
ijassa-1006	621	5	with	with	ADP
ijassa-1006	621	6	reference	reference	NOUN
ijassa-1006	621	7	axis	axis	NOUN
ijassa-1006	621	8	vicinity	vicinity	NOUN
ijassa-1006	621	9	mechanism	mechanism	NOUN
ijassa-1006	621	10	,	,	PUNCT
ijassa-1006	621	11	ieee	ieee	NOUN
ijassa-1006	621	12	transactions	transaction	NOUN
ijassa-1006	621	13	on	on	ADP
ijassa-1006	621	14	cybernetics	cybernetic	NOUN
ijassa-1006	621	15	,	,	PUNCT
ijassa-1006	621	16	49(9	49(9	NOUN
ijassa-1006	621	17	)	)	PUNCT
ijassa-1006	621	18	,	,	PUNCT
ijassa-1006	621	19	3571–3585	3571–3585	NUM
ijassa-1006	621	20	.	.	PUNCT
ijassa-1006	622	1	54	54	NUM
ijassa-1006	622	2	.	.	X
ijassa-1006	622	3	tizhoosh	tizhoosh	PROPN
ijassa-1006	622	4	,	,	PUNCT
ijassa-1006	622	5	h.	h.	PROPN
ijassa-1006	622	6	r.	r.	PROPN
ijassa-1006	622	7	(	(	PUNCT
ijassa-1006	622	8	2005	2005	NUM
ijassa-1006	622	9	)	)	PUNCT
ijassa-1006	622	10	.	.	PUNCT
ijassa-1006	623	1	opposition	opposition	NOUN
ijassa-1006	623	2	-	-	PUNCT
ijassa-1006	623	3	based	base	VERB
ijassa-1006	623	4	learning	learning	NOUN
ijassa-1006	623	5	:	:	PUNCT
ijassa-1006	623	6	a	a	DET
ijassa-1006	623	7	new	new	ADJ
ijassa-1006	623	8	scheme	scheme	NOUN
ijassa-1006	623	9	for	for	ADP
ijassa-1006	623	10	machine	machine	NOUN
ijassa-1006	623	11	intelligence	intelligence	NOUN
ijassa-1006	623	12	,	,	PUNCT
ijassa-1006	623	13	proc	proc	NOUN
ijassa-1006	623	14	.	.	PROPN
ijassa-1006	624	1	of	of	ADP
ijassa-1006	624	2	international	international	ADJ
ijassa-1006	624	3	conference	conference	NOUN
ijassa-1006	624	4	on	on	ADP
ijassa-1006	624	5	computational	computational	ADJ
ijassa-1006	624	6	intelligence	intelligence	NOUN
ijassa-1006	624	7	for	for	ADP
ijassa-1006	624	8	modelling	modelling	NOUN
ijassa-1006	624	9	,	,	PUNCT
ijassa-1006	624	10	control	control	NOUN
ijassa-1006	624	11	and	and	CCONJ
ijassa-1006	624	12	automation	automation	NOUN
ijassa-1006	624	13	and	and	CCONJ
ijassa-1006	624	14	international	international	ADJ
ijassa-1006	624	15	conference	conference	NOUN
ijassa-1006	624	16	on	on	ADP
ijassa-1006	624	17	intelligent	intelligent	ADJ
ijassa-1006	624	18	agents	agent	NOUN
ijassa-1006	624	19	,	,	PUNCT
ijassa-1006	624	20	web	web	NOUN
ijassa-1006	624	21	technologies	technology	NOUN
ijassa-1006	624	22	and	and	CCONJ
ijassa-1006	624	23	internet	internet	NOUN
ijassa-1006	624	24	commerce	commerce	NOUN
ijassa-1006	624	25	(	(	PUNCT
ijassa-1006	624	26	cimca	cimca	PROPN
ijassa-1006	624	27	-	-	PUNCT
ijassa-1006	624	28	iawtic'06	iawtic'06	PROPN
ijassa-1006	624	29	)	)	PUNCT
ijassa-1006	624	30	(	(	PUNCT
ijassa-1006	624	31	cimca	cimca	PROPN
ijassa-1006	624	32	2005	2005	NUM
ijassa-1006	624	33	)	)	PUNCT
ijassa-1006	624	34	(	(	PUNCT
ijassa-1006	624	35	vienna	vienna	PROPN
ijassa-1006	624	36	,	,	PUNCT
ijassa-1006	624	37	austria	austria	PROPN
ijassa-1006	624	38	)	)	PUNCT
ijassa-1006	624	39	.	.	PUNCT
ijassa-1006	625	1	55	55	NUM
ijassa-1006	625	2	.	.	PUNCT
ijassa-1006	626	1	v.	v.	PROPN
ijassa-1006	626	2	l.	l.	PROPN
ijassa-1006	626	3	huang	huang	PROPN
ijassa-1006	626	4	,	,	PUNCT
ijassa-1006	626	5	p.	p.	PROPN
ijassa-1006	626	6	n.	n.	PROPN
ijassa-1006	626	7	suganthan	suganthan	PROPN
ijassa-1006	626	8	,	,	PUNCT
ijassa-1006	626	9	a.	a.	PROPN
ijassa-1006	626	10	k.	k.	PROPN
ijassa-1006	626	11	qin	qin	PROPN
ijassa-1006	626	12	,	,	PUNCT
ijassa-1006	626	13	&	&	CCONJ
ijassa-1006	626	14	b.	b.	PROPN
ijassa-1006	626	15	subramanian	subramanian	PROPN
ijassa-1006	626	16	(	(	PUNCT
ijassa-1006	626	17	2005	2005	NUM
ijassa-1006	626	18	)	)	PUNCT
ijassa-1006	626	19	.	.	PUNCT
ijassa-1006	627	1	multiobjective	multiobjective	ADJ
ijassa-1006	627	2	178	178	NUM
ijassa-1006	627	3	n.	n.	NOUN
ijassa-1006	627	4	boukhari	boukhari	NOUN
ijassa-1006	627	5	,	,	PUNCT
ijassa-1006	627	6	m.	m.	NOUN
ijassa-1006	627	7	a.	a.	NOUN
ijassa-1006	627	8	nemmich	nemmich	PROPN
ijassa-1006	627	9	,	,	PUNCT
ijassa-1006	627	10	f.	f.	PROPN
ijassa-1006	627	11	debbat	debbat	PROPN
ijassa-1006	627	12	,	,	PUNCT
ijassa-1006	627	13	n.	n.	NOUN
ijassa-1006	627	14	monmarché	monmarché	NOUN
ijassa-1006	627	15	,	,	PUNCT
ijassa-1006	627	16	m.	m.	NOUN
ijassa-1006	627	17	slimane	slimane	PROPN
ijassa-1006	627	18	copyright	copyright	NOUN
ijassa-1006	628	1	©	©	PROPN
ijassa-1006	628	2	0000	0000	NUM
ijassa-1006	628	3	assa	assa	PROPN
ijassa-1006	628	4	adv	adv	PROPN
ijassa-1006	628	5	.	.	PUNCT
ijassa-1006	629	1	in	in	ADP
ijassa-1006	629	2	systems	system	NOUN
ijassa-1006	629	3	science	science	NOUN
ijassa-1006	629	4	and	and	CCONJ
ijassa-1006	629	5	appl	appl	NOUN
ijassa-1006	629	6	.	.	PUNCT
ijassa-1006	630	1	(	(	PUNCT
ijassa-1006	630	2	0000	0000	NUM
ijassa-1006	630	3	)	)	PUNCT
ijassa-1006	630	4	differential	differential	NOUN
ijassa-1006	630	5	evolution	evolution	NOUN
ijassa-1006	630	6	with	with	ADP
ijassa-1006	630	7	external	external	ADJ
ijassa-1006	630	8	archive	archive	NOUN
ijassa-1006	630	9	and	and	CCONJ
ijassa-1006	630	10	harmonic	harmonic	ADJ
ijassa-1006	630	11	distance	distance	NOUN
ijassa-1006	630	12	-	-	PUNCT
ijassa-1006	630	13	based	base	VERB
ijassa-1006	630	14	diversity	diversity	NOUN
ijassa-1006	630	15	measure	measure	NOUN
ijassa-1006	630	16	,	,	PUNCT
ijassa-1006	631	1	[	[	X
ijassa-1006	631	2	online	online	X
ijassa-1006	631	3	]	]	X
ijassa-1006	631	4	.	.	PUNCT
ijassa-1006	632	1	available	available	ADJ
ijassa-1006	632	2	:	:	PUNCT
ijassa-1006	632	3	https://www.researchgate.net/publication/228967624_differential	https://www.researchgate.net/publication/228967624_differential	VERB
ijassa-1006	632	4	_	_	PRON
ijassa-1006	632	5	evolution_with_external_archive_and_harmonic_distance	evolution_with_external_archive_and_harmonic_distance	NOUN
ijassa-1006	632	6	-	-	PUNCT
ijassa-1006	632	7	based_diversity_measure	based_diversity_measure	NOUN
ijassa-1006	632	8	.	.	PUNCT
ijassa-1006	633	1	56	56	NUM
ijassa-1006	633	2	.	.	PUNCT
ijassa-1006	634	1	van	van	PROPN
ijassa-1006	634	2	veldhuizen	veldhuizen	NOUN
ijassa-1006	634	3	,	,	PUNCT
ijassa-1006	634	4	d.	d.	PROPN
ijassa-1006	634	5	a.	a.	PROPN
ijassa-1006	634	6	,	,	PUNCT
ijassa-1006	634	7	&	&	CCONJ
ijassa-1006	634	8	lamont	lamont	PROPN
ijassa-1006	634	9	,	,	PUNCT
ijassa-1006	634	10	g.	g.	PROPN
ijassa-1006	634	11	b.	b.	PROPN
ijassa-1006	634	12	(	(	PUNCT
ijassa-1006	634	13	1998	1998	NUM
ijassa-1006	634	14	)	)	PUNCT
ijassa-1006	634	15	.	.	PUNCT
ijassa-1006	635	1	evolutionary	evolutionary	ADJ
ijassa-1006	635	2	computation	computation	NOUN
ijassa-1006	635	3	and	and	CCONJ
ijassa-1006	635	4	convergence	convergence	NOUN
ijassa-1006	635	5	to	to	ADP
ijassa-1006	635	6	a	a	DET
ijassa-1006	635	7	pareto	pareto	ADJ
ijassa-1006	635	8	front	front	NOUN
ijassa-1006	635	9	.	.	PUNCT
ijassa-1006	636	1	in	in	ADP
ijassa-1006	636	2	:	:	PUNCT
ijassa-1006	636	3	j.r	j.r	PROPN
ijassa-1006	636	4	.	.	PROPN
ijassa-1006	636	5	koza	koza	PROPN
ijassa-1006	636	6	(	(	PUNCT
ijassa-1006	636	7	eds	eds	PROPN
ijassa-1006	636	8	.	.	PUNCT
ijassa-1006	636	9	)	)	PUNCT
ijassa-1006	636	10	,	,	PUNCT
ijassa-1006	636	11	late	late	ADJ
ijassa-1006	636	12	breaking	break	VERB
ijassa-1006	636	13	papers	paper	NOUN
ijassa-1006	636	14	at	at	ADP
ijassa-1006	636	15	the	the	DET
ijassa-1006	636	16	genetic	genetic	ADJ
ijassa-1006	636	17	programming	programming	NOUN
ijassa-1006	636	18	1998	1998	NUM
ijassa-1006	636	19	conference	conference	NOUN
ijassa-1006	636	20	.	.	PUNCT
ijassa-1006	637	1	stanford	stanford	PROPN
ijassa-1006	637	2	,	,	PUNCT
ijassa-1006	637	3	ca	ca	PROPN
ijassa-1006	637	4	:	:	PUNCT
ijassa-1006	637	5	stanford	stanford	PROPN
ijassa-1006	637	6	university	university	PROPN
ijassa-1006	637	7	bookstore	bookstore	NOUN
ijassa-1006	637	8	.	.	PUNCT
ijassa-1006	638	1	57	57	NUM
ijassa-1006	638	2	.	.	X
ijassa-1006	639	1	wang	wang	PROPN
ijassa-1006	639	2	,	,	PUNCT
ijassa-1006	639	3	g.	g.	PROPN
ijassa-1006	639	4	g.	g.	PROPN
ijassa-1006	639	5	,	,	PUNCT
ijassa-1006	639	6	deb	deb	PROPN
ijassa-1006	639	7	,	,	PUNCT
ijassa-1006	639	8	s.	s.	PROPN
ijassa-1006	639	9	,	,	PUNCT
ijassa-1006	639	10	gandomi	gandomi	NOUN
ijassa-1006	639	11	,	,	PUNCT
ijassa-1006	639	12	a.	a.	PROPN
ijassa-1006	639	13	h.	h.	PROPN
ijassa-1006	639	14	,	,	PUNCT
ijassa-1006	639	15	&	&	CCONJ
ijassa-1006	639	16	alavi	alavi	PROPN
ijassa-1006	639	17	,	,	PUNCT
ijassa-1006	639	18	a.	a.	NOUN
ijassa-1006	639	19	h.	h.	PROPN
ijassa-1006	639	20	(	(	PUNCT
ijassa-1006	639	21	2016	2016	NUM
ijassa-1006	639	22	)	)	PUNCT
ijassa-1006	639	23	.	.	PUNCT
ijassa-1006	640	1	opposition	opposition	NOUN
ijassa-1006	640	2	-	-	PUNCT
ijassa-1006	640	3	based	base	VERB
ijassa-1006	640	4	krill	krill	NOUN
ijassa-1006	640	5	herd	herd	NOUN
ijassa-1006	640	6	algorithm	algorithm	NOUN
ijassa-1006	640	7	with	with	ADP
ijassa-1006	640	8	cauchy	cauchy	ADJ
ijassa-1006	640	9	mutation	mutation	NOUN
ijassa-1006	640	10	and	and	CCONJ
ijassa-1006	640	11	position	position	NOUN
ijassa-1006	640	12	clamping	clamping	NOUN
ijassa-1006	640	13	,	,	PUNCT
ijassa-1006	640	14	neurocomputing	neurocomputing	NOUN
ijassa-1006	640	15	,	,	PUNCT
ijassa-1006	640	16	177	177	NUM
ijassa-1006	640	17	,	,	PUNCT
ijassa-1006	640	18	147	147	NUM
ijassa-1006	640	19	–	–	PUNCT
ijassa-1006	640	20	157	157	NUM
ijassa-1006	640	21	.	.	PUNCT
ijassa-1006	641	1	58	58	NUM
ijassa-1006	641	2	.	.	PUNCT
ijassa-1006	642	1	wang	wang	PROPN
ijassa-1006	642	2	,	,	PUNCT
ijassa-1006	642	3	h.	h.	PROPN
ijassa-1006	642	4	,	,	PUNCT
ijassa-1006	642	5	wu	wu	PROPN
ijassa-1006	642	6	,	,	PUNCT
ijassa-1006	642	7	z.	z.	PROPN
ijassa-1006	642	8	,	,	PUNCT
ijassa-1006	642	9	rahnamayan	rahnamayan	PROPN
ijassa-1006	642	10	,	,	PUNCT
ijassa-1006	642	11	s.	s.	PROPN
ijassa-1006	642	12	,	,	PUNCT
ijassa-1006	642	13	liu	liu	PROPN
ijassa-1006	642	14	,	,	PUNCT
ijassa-1006	642	15	y.	y.	PROPN
ijassa-1006	642	16	,	,	PUNCT
ijassa-1006	642	17	&	&	CCONJ
ijassa-1006	642	18	ventresca	ventresca	PROPN
ijassa-1006	642	19	,	,	PUNCT
ijassa-1006	642	20	m.	m.	NOUN
ijassa-1006	642	21	(	(	PUNCT
ijassa-1006	642	22	2011	2011	NUM
ijassa-1006	642	23	)	)	PUNCT
ijassa-1006	642	24	.	.	PUNCT
ijassa-1006	643	1	enhancing	enhance	VERB
ijassa-1006	643	2	particle	particle	NOUN
ijassa-1006	643	3	swarm	swarm	NOUN
ijassa-1006	643	4	optimization	optimization	NOUN
ijassa-1006	643	5	using	use	VERB
ijassa-1006	643	6	generalized	generalized	ADJ
ijassa-1006	643	7	opposition	opposition	NOUN
ijassa-1006	643	8	-	-	PUNCT
ijassa-1006	643	9	based	base	VERB
ijassa-1006	643	10	learning	learning	NOUN
ijassa-1006	643	11	,	,	PUNCT
ijassa-1006	643	12	information	information	NOUN
ijassa-1006	643	13	sciences	science	NOUN
ijassa-1006	643	14	,	,	PUNCT
ijassa-1006	643	15	181(20	181(20	NUM
ijassa-1006	643	16	)	)	PUNCT
ijassa-1006	643	17	,	,	PUNCT
ijassa-1006	643	18	4699–4714	4699–4714	NUM
ijassa-1006	643	19	.	.	PUNCT
ijassa-1006	644	1	59	59	NUM
ijassa-1006	644	2	.	.	PUNCT
ijassa-1006	645	1	wang	wang	PROPN
ijassa-1006	645	2	,	,	PUNCT
ijassa-1006	645	3	j.	j.	PROPN
ijassa-1006	645	4	,	,	PUNCT
ijassa-1006	645	5	zhang	zhang	PROPN
ijassa-1006	645	6	,	,	PUNCT
ijassa-1006	645	7	w.	w.	PROPN
ijassa-1006	645	8	,	,	PUNCT
ijassa-1006	645	9	&	&	CCONJ
ijassa-1006	645	10	zhang	zhang	PROPN
ijassa-1006	645	11	,	,	PUNCT
ijassa-1006	645	12	j.	j.	PROPN
ijassa-1006	645	13	(	(	PUNCT
ijassa-1006	645	14	2016	2016	NUM
ijassa-1006	645	15	)	)	PUNCT
ijassa-1006	645	16	.	.	PUNCT
ijassa-1006	646	1	cooperative	cooperative	ADJ
ijassa-1006	646	2	differential	differential	NOUN
ijassa-1006	646	3	evolution	evolution	NOUN
ijassa-1006	646	4	with	with	ADP
ijassa-1006	646	5	multiple	multiple	ADJ
ijassa-1006	646	6	populations	population	NOUN
ijassa-1006	646	7	for	for	ADP
ijassa-1006	646	8	multiobjective	multiobjective	ADJ
ijassa-1006	646	9	optimization	optimization	NOUN
ijassa-1006	646	10	,	,	PUNCT
ijassa-1006	646	11	ieee	ieee	NOUN
ijassa-1006	646	12	transactions	transaction	NOUN
ijassa-1006	646	13	on	on	ADP
ijassa-1006	646	14	cybernetics	cybernetic	NOUN
ijassa-1006	646	15	,	,	PUNCT
ijassa-1006	646	16	46(12	46(12	PROPN
ijassa-1006	646	17	)	)	PUNCT
ijassa-1006	646	18	,	,	PUNCT
ijassa-1006	646	19	2848–2861	2848–2861	NUM
ijassa-1006	646	20	.	.	PUNCT
ijassa-1006	647	1	60	60	NUM
ijassa-1006	647	2	.	.	PUNCT
ijassa-1006	648	1	wang	wang	PROPN
ijassa-1006	648	2	,	,	PUNCT
ijassa-1006	648	3	x.	x.	PROPN
ijassa-1006	648	4	,	,	PUNCT
ijassa-1006	648	5	&	&	CCONJ
ijassa-1006	648	6	tang	tang	PROPN
ijassa-1006	648	7	,	,	PUNCT
ijassa-1006	648	8	l.	l.	PROPN
ijassa-1006	648	9	(	(	PUNCT
ijassa-1006	648	10	2013	2013	NUM
ijassa-1006	648	11	)	)	PUNCT
ijassa-1006	648	12	.	.	PUNCT
ijassa-1006	649	1	multiobjective	multiobjective	ADJ
ijassa-1006	649	2	operation	operation	NOUN
ijassa-1006	649	3	optimization	optimization	NOUN
ijassa-1006	649	4	of	of	ADP
ijassa-1006	649	5	naphtha	naphtha	NOUN
ijassa-1006	649	6	pyrolysis	pyrolysis	NOUN
ijassa-1006	649	7	process	process	NOUN
ijassa-1006	649	8	using	use	VERB
ijassa-1006	649	9	parallel	parallel	ADJ
ijassa-1006	649	10	differential	differential	NOUN
ijassa-1006	649	11	evolution	evolution	NOUN
ijassa-1006	649	12	,	,	PUNCT
ijassa-1006	649	13	industrial	industrial	ADJ
ijassa-1006	649	14	and	and	CCONJ
ijassa-1006	649	15	engineering	engineer	VERB
ijassa-1006	649	16	chemistry	chemistry	NOUN
ijassa-1006	649	17	research	research	NOUN
ijassa-1006	649	18	,	,	PUNCT
ijassa-1006	649	19	52(40	52(40	NOUN
ijassa-1006	649	20	)	)	PUNCT
ijassa-1006	649	21	,	,	PUNCT
ijassa-1006	649	22	14415–14428	14415–14428	NUM
ijassa-1006	649	23	.	.	PUNCT
ijassa-1006	650	1	61	61	NUM
ijassa-1006	650	2	.	.	PUNCT
ijassa-1006	651	1	wang	wang	PROPN
ijassa-1006	651	2	,	,	PUNCT
ijassa-1006	651	3	x.	x.	PROPN
ijassa-1006	651	4	,	,	PUNCT
ijassa-1006	651	5	&	&	CCONJ
ijassa-1006	651	6	tang	tang	PROPN
ijassa-1006	651	7	,	,	PUNCT
ijassa-1006	651	8	l.	l.	PROPN
ijassa-1006	651	9	(	(	PUNCT
ijassa-1006	651	10	2016	2016	NUM
ijassa-1006	651	11	)	)	PUNCT
ijassa-1006	651	12	.	.	PUNCT
ijassa-1006	652	1	an	an	DET
ijassa-1006	652	2	adaptive	adaptive	ADJ
ijassa-1006	652	3	multi	multi	ADJ
ijassa-1006	652	4	-	-	ADJ
ijassa-1006	652	5	population	population	ADJ
ijassa-1006	652	6	differential	differential	ADJ
ijassa-1006	652	7	evolution	evolution	NOUN
ijassa-1006	652	8	algorithm	algorithm	NOUN
ijassa-1006	652	9	for	for	ADP
ijassa-1006	652	10	continuous	continuous	ADJ
ijassa-1006	652	11	multi	multi	ADJ
ijassa-1006	652	12	-	-	ADJ
ijassa-1006	652	13	objective	objective	ADJ
ijassa-1006	652	14	optimization	optimization	NOUN
ijassa-1006	652	15	,	,	PUNCT
ijassa-1006	652	16	information	information	NOUN
ijassa-1006	652	17	sciences	science	NOUN
ijassa-1006	652	18	,	,	PUNCT
ijassa-1006	652	19	348	348	NUM
ijassa-1006	652	20	,	,	PUNCT
ijassa-1006	652	21	124–141	124–141	NUM
ijassa-1006	652	22	.	.	PUNCT
ijassa-1006	652	23	62	62	NUM
ijassa-1006	652	24	.	.	PUNCT
ijassa-1006	653	1	wang	wang	PROPN
ijassa-1006	653	2	,	,	PUNCT
ijassa-1006	653	3	y.	y.	PROPN
ijassa-1006	653	4	n.	n.	PROPN
ijassa-1006	653	5	,	,	PUNCT
ijassa-1006	653	6	wu	wu	PROPN
ijassa-1006	653	7	,	,	PUNCT
ijassa-1006	653	8	l.	l.	PROPN
ijassa-1006	653	9	h.	h.	PROPN
ijassa-1006	653	10	,	,	PUNCT
ijassa-1006	653	11	&	&	CCONJ
ijassa-1006	653	12	yuan	yuan	PROPN
ijassa-1006	653	13	,	,	PUNCT
ijassa-1006	653	14	x.	x.	PROPN
ijassa-1006	653	15	f.	f.	PROPN
ijassa-1006	653	16	(	(	PUNCT
ijassa-1006	653	17	2010	2010	NUM
ijassa-1006	653	18	)	)	PUNCT
ijassa-1006	653	19	.	.	PUNCT
ijassa-1006	654	1	multi	multi	ADJ
ijassa-1006	654	2	-	-	ADJ
ijassa-1006	654	3	objective	objective	ADJ
ijassa-1006	654	4	self	self	NOUN
ijassa-1006	654	5	-	-	PUNCT
ijassa-1006	654	6	adaptive	adaptive	ADJ
ijassa-1006	654	7	differential	differential	NOUN
ijassa-1006	654	8	evolution	evolution	NOUN
ijassa-1006	654	9	with	with	ADP
ijassa-1006	654	10	elitist	elitist	ADJ
ijassa-1006	654	11	archive	archive	NOUN
ijassa-1006	654	12	and	and	CCONJ
ijassa-1006	654	13	crowding	crowd	VERB
ijassa-1006	654	14	entropy	entropy	NOUN
ijassa-1006	654	15	-	-	PUNCT
ijassa-1006	654	16	based	base	VERB
ijassa-1006	654	17	diversity	diversity	NOUN
ijassa-1006	654	18	measure	measure	NOUN
ijassa-1006	654	19	,	,	PUNCT
ijassa-1006	654	20	soft	soft	ADJ
ijassa-1006	654	21	computing	computing	NOUN
ijassa-1006	654	22	,	,	PUNCT
ijassa-1006	654	23	14	14	NUM
ijassa-1006	654	24	,	,	PUNCT
ijassa-1006	654	25	193–209	193–209	NUM
ijassa-1006	654	26	.	.	PUNCT
ijassa-1006	655	1	63	63	NUM
ijassa-1006	655	2	.	.	PUNCT
ijassa-1006	655	3	woodside	woodside	NOUN
ijassa-1006	655	4	-	-	PUNCT
ijassa-1006	655	5	oriakhi	oriakhi	PROPN
ijassa-1006	655	6	,	,	PUNCT
ijassa-1006	655	7	m.	m.	NOUN
ijassa-1006	655	8	,	,	PUNCT
ijassa-1006	655	9	lucas	lucas	PROPN
ijassa-1006	655	10	,	,	PUNCT
ijassa-1006	655	11	c.	c.	PROPN
ijassa-1006	655	12	,	,	PUNCT
ijassa-1006	655	13	&	&	CCONJ
ijassa-1006	655	14	beasley	beasley	PROPN
ijassa-1006	655	15	,	,	PUNCT
ijassa-1006	655	16	j.	j.	PROPN
ijassa-1006	655	17	e.	e.	PROPN
ijassa-1006	655	18	(	(	PUNCT
ijassa-1006	655	19	2011	2011	NUM
ijassa-1006	655	20	)	)	PUNCT
ijassa-1006	655	21	.	.	PUNCT
ijassa-1006	656	1	heuristic	heuristic	ADJ
ijassa-1006	656	2	algorithms	algorithm	NOUN
ijassa-1006	656	3	for	for	ADP
ijassa-1006	656	4	the	the	DET
ijassa-1006	656	5	cardinality	cardinality	NOUN
ijassa-1006	656	6	constrained	constrain	VERB
ijassa-1006	656	7	efficient	efficient	ADJ
ijassa-1006	656	8	frontier	frontier	NOUN
ijassa-1006	656	9	,	,	PUNCT
ijassa-1006	656	10	european	european	PROPN
ijassa-1006	656	11	journal	journal	PROPN
ijassa-1006	656	12	of	of	ADP
ijassa-1006	656	13	operational	operational	ADJ
ijassa-1006	656	14	research	research	NOUN
ijassa-1006	656	15	,	,	PUNCT
ijassa-1006	656	16	213(3	213(3	NUM
ijassa-1006	656	17	)	)	PUNCT
ijassa-1006	656	18	,	,	PUNCT
ijassa-1006	656	19	538–550	538–550	NUM
ijassa-1006	656	20	.	.	NOUN
ijassa-1006	656	21	64	64	NUM
ijassa-1006	656	22	.	.	PUNCT
ijassa-1006	657	1	xu	xu	PROPN
ijassa-1006	657	2	,	,	PUNCT
ijassa-1006	657	3	b.	b.	PROPN
ijassa-1006	657	4	,	,	PUNCT
ijassa-1006	657	5	qi	qi	PROPN
ijassa-1006	657	6	,	,	PUNCT
ijassa-1006	657	7	r.	r.	PROPN
ijassa-1006	657	8	,	,	PUNCT
ijassa-1006	657	9	zhong	zhong	PROPN
ijassa-1006	657	10	,	,	PUNCT
ijassa-1006	657	11	w.	w.	PROPN
ijassa-1006	657	12	,	,	PUNCT
ijassa-1006	657	13	du	du	PROPN
ijassa-1006	657	14	,	,	PUNCT
ijassa-1006	657	15	w.	w.	PROPN
ijassa-1006	657	16	,	,	PUNCT
ijassa-1006	657	17	&	&	CCONJ
ijassa-1006	657	18	qian	qian	PROPN
ijassa-1006	657	19	,	,	PUNCT
ijassa-1006	657	20	f.	f.	PROPN
ijassa-1006	657	21	(	(	PUNCT
ijassa-1006	657	22	2013	2013	NUM
ijassa-1006	657	23	)	)	PUNCT
ijassa-1006	657	24	.	.	PUNCT
ijassa-1006	658	1	optimization	optimization	NOUN
ijassa-1006	658	2	of	of	ADP
ijassa-1006	658	3	p	p	NOUN
ijassa-1006	658	4	-	-	PUNCT
ijassa-1006	658	5	xylene	xylene	NOUN
ijassa-1006	658	6	oxidation	oxidation	NOUN
ijassa-1006	658	7	reaction	reaction	NOUN
ijassa-1006	658	8	process	process	NOUN
ijassa-1006	658	9	based	base	VERB
ijassa-1006	658	10	on	on	ADP
ijassa-1006	658	11	self	self	NOUN
ijassa-1006	658	12	-	-	PUNCT
ijassa-1006	658	13	adaptive	adaptive	ADJ
ijassa-1006	658	14	multi	multi	ADJ
ijassa-1006	658	15	-	-	ADJ
ijassa-1006	658	16	objective	objective	ADJ
ijassa-1006	658	17	differential	differential	ADJ
ijassa-1006	658	18	evolution	evolution	NOUN
ijassa-1006	658	19	,	,	PUNCT
ijassa-1006	658	20	chemometrics	chemometric	NOUN
ijassa-1006	658	21	and	and	CCONJ
ijassa-1006	658	22	intelligent	intelligent	ADJ
ijassa-1006	658	23	laboratory	laboratory	NOUN
ijassa-1006	658	24	systems	system	NOUN
ijassa-1006	658	25	,	,	PUNCT
ijassa-1006	658	26	127	127	NUM
ijassa-1006	658	27	,	,	PUNCT
ijassa-1006	658	28	55–62	55–62	NUM
ijassa-1006	658	29	.	.	NOUN
ijassa-1006	658	30	65	65	NUM
ijassa-1006	658	31	.	.	PUNCT
ijassa-1006	659	1	yang	yang	PROPN
ijassa-1006	659	2	,	,	PUNCT
ijassa-1006	659	3	s.	s.	PROPN
ijassa-1006	659	4	,	,	PUNCT
ijassa-1006	659	5	jiang	jiang	PROPN
ijassa-1006	659	6	,	,	PUNCT
ijassa-1006	659	7	s.	s.	PROPN
ijassa-1006	659	8	,	,	PUNCT
ijassa-1006	659	9	&	&	CCONJ
ijassa-1006	659	10	jiang	jiang	PROPN
ijassa-1006	659	11	,	,	PUNCT
ijassa-1006	659	12	y.	y.	PROPN
ijassa-1006	659	13	(	(	PUNCT
ijassa-1006	659	14	2017	2017	NUM
ijassa-1006	659	15	)	)	PUNCT
ijassa-1006	659	16	.	.	PUNCT
ijassa-1006	660	1	improving	improve	VERB
ijassa-1006	660	2	the	the	DET
ijassa-1006	660	3	multiobjective	multiobjective	ADJ
ijassa-1006	660	4	evolutionary	evolutionary	ADJ
ijassa-1006	660	5	algorithm	algorithm	NOUN
ijassa-1006	660	6	based	base	VERB
ijassa-1006	660	7	on	on	ADP
ijassa-1006	660	8	decomposition	decomposition	NOUN
ijassa-1006	660	9	with	with	ADP
ijassa-1006	660	10	new	new	ADJ
ijassa-1006	660	11	penalty	penalty	NOUN
ijassa-1006	660	12	schemes	scheme	NOUN
ijassa-1006	660	13	,	,	PUNCT
ijassa-1006	660	14	soft	soft	ADJ
ijassa-1006	660	15	computing	computing	NOUN
ijassa-1006	660	16	,	,	PUNCT
ijassa-1006	660	17	21	21	NUM
ijassa-1006	660	18	,	,	PUNCT
ijassa-1006	660	19	4677	4677	NUM
ijassa-1006	660	20	–	–	PUNCT
ijassa-1006	660	21	4691	4691	NUM
ijassa-1006	660	22	.	.	PUNCT
ijassa-1006	661	1	66	66	NUM
ijassa-1006	661	2	.	.	X
ijassa-1006	661	3	yang	yang	PROPN
ijassa-1006	661	4	,	,	PUNCT
ijassa-1006	661	5	x.	x.	PROPN
ijassa-1006	661	6	s.	s.	PROPN
ijassa-1006	661	7	(	(	PUNCT
ijassa-1006	661	8	2013	2013	NUM
ijassa-1006	661	9	)	)	PUNCT
ijassa-1006	661	10	.	.	PUNCT
ijassa-1006	662	1	multiobjective	multiobjective	ADJ
ijassa-1006	662	2	firefly	firefly	NOUN
ijassa-1006	662	3	algorithm	algorithm	NOUN
ijassa-1006	662	4	for	for	ADP
ijassa-1006	662	5	continuous	continuous	ADJ
ijassa-1006	662	6	optimization	optimization	NOUN
ijassa-1006	662	7	,	,	PUNCT
ijassa-1006	662	8	engineering	engineering	NOUN
ijassa-1006	662	9	with	with	ADP
ijassa-1006	662	10	computers	computer	NOUN
ijassa-1006	662	11	,	,	PUNCT
ijassa-1006	662	12	29	29	NUM
ijassa-1006	662	13	,	,	PUNCT
ijassa-1006	662	14	175–184	175–184	NUM
ijassa-1006	662	15	.	.	PUNCT
ijassa-1006	663	1	67	67	NUM
ijassa-1006	663	2	.	.	PUNCT
ijassa-1006	664	1	zhang	zhang	PROPN
ijassa-1006	664	2	,	,	PUNCT
ijassa-1006	664	3	j.	j.	PROPN
ijassa-1006	664	4	,	,	PUNCT
ijassa-1006	664	5	&	&	CCONJ
ijassa-1006	664	6	sanderson	sanderson	PROPN
ijassa-1006	664	7	,	,	PUNCT
ijassa-1006	664	8	a.	a.	PROPN
ijassa-1006	664	9	c.	c.	PROPN
ijassa-1006	664	10	(	(	PUNCT
ijassa-1006	664	11	2008	2008	NUM
ijassa-1006	664	12	)	)	PUNCT
ijassa-1006	664	13	.	.	PUNCT
ijassa-1006	665	1	self	self	NOUN
ijassa-1006	665	2	-	-	PUNCT
ijassa-1006	665	3	adaptive	adaptive	ADJ
ijassa-1006	665	4	multi	multi	ADJ
ijassa-1006	665	5	-	-	ADJ
ijassa-1006	665	6	objective	objective	ADJ
ijassa-1006	665	7	differential	differential	ADJ
ijassa-1006	665	8	evolution	evolution	NOUN
ijassa-1006	665	9	with	with	ADP
ijassa-1006	665	10	direction	direction	NOUN
ijassa-1006	665	11	information	information	NOUN
ijassa-1006	665	12	provided	provide	VERB
ijassa-1006	665	13	by	by	ADP
ijassa-1006	665	14	archived	archive	VERB
ijassa-1006	665	15	inferior	inferior	ADJ
ijassa-1006	665	16	solutions	solution	NOUN
ijassa-1006	665	17	,	,	PUNCT
ijassa-1006	665	18	proc	proc	NOUN
ijassa-1006	665	19	.	.	PROPN
ijassa-1006	666	1	of	of	ADP
ijassa-1006	666	2	ieee	ieee	PROPN
ijassa-1006	666	3	congress	congress	PROPN
ijassa-1006	666	4	on	on	ADP
ijassa-1006	666	5	evolutionary	evolutionary	ADJ
ijassa-1006	666	6	computation	computation	NOUN
ijassa-1006	666	7	(	(	PUNCT
ijassa-1006	666	8	cec	cec	PROPN
ijassa-1006	666	9	2008	2008	NUM
ijassa-1006	666	10	)	)	PUNCT
ijassa-1006	666	11	(	(	PUNCT
ijassa-1006	666	12	hong	hong	PROPN
ijassa-1006	666	13	kong	kong	PROPN
ijassa-1006	666	14	,	,	PUNCT
ijassa-1006	666	15	china	china	PROPN
ijassa-1006	666	16	)	)	PUNCT
ijassa-1006	666	17	.	.	PUNCT
ijassa-1006	667	1	68	68	NUM
ijassa-1006	667	2	.	.	X
ijassa-1006	668	1	zhang	zhang	PROPN
ijassa-1006	668	2	,	,	PUNCT
ijassa-1006	668	3	j.	j.	PROPN
ijassa-1006	668	4	,	,	PUNCT
ijassa-1006	668	5	&	&	CCONJ
ijassa-1006	668	6	sanderson	sanderson	PROPN
ijassa-1006	668	7	,	,	PUNCT
ijassa-1006	668	8	a.	a.	PROPN
ijassa-1006	668	9	c.	c.	PROPN
ijassa-1006	668	10	(	(	PUNCT
ijassa-1006	668	11	2009	2009	NUM
ijassa-1006	668	12	)	)	PUNCT
ijassa-1006	668	13	.	.	PUNCT
ijassa-1006	669	1	jade	jade	PROPN
ijassa-1006	669	2	:	:	PUNCT
ijassa-1006	669	3	adaptive	adaptive	ADJ
ijassa-1006	669	4	differential	differential	ADJ
ijassa-1006	669	5	evolution	evolution	NOUN
ijassa-1006	669	6	with	with	ADP
ijassa-1006	669	7	optional	optional	ADJ
ijassa-1006	669	8	external	external	ADJ
ijassa-1006	669	9	archive	archive	NOUN
ijassa-1006	669	10	,	,	PUNCT
ijassa-1006	669	11	ieee	ieee	NOUN
ijassa-1006	669	12	transactions	transaction	NOUN
ijassa-1006	669	13	on	on	ADP
ijassa-1006	669	14	evolutionary	evolutionary	ADJ
ijassa-1006	669	15	computation	computation	NOUN
ijassa-1006	669	16	,	,	PUNCT
ijassa-1006	669	17	13(5	13(5	NUM
ijassa-1006	669	18	)	)	PUNCT
ijassa-1006	669	19	,	,	PUNCT
ijassa-1006	669	20	945–958	945–958	NUM
ijassa-1006	669	21	.	.	PUNCT
ijassa-1006	670	1	69	69	NUM
ijassa-1006	670	2	.	.	X
ijassa-1006	671	1	zhang	zhang	PROPN
ijassa-1006	671	2	,	,	PUNCT
ijassa-1006	671	3	q.	q.	PROPN
ijassa-1006	671	4	,	,	PUNCT
ijassa-1006	671	5	&	&	CCONJ
ijassa-1006	671	6	li	li	PROPN
ijassa-1006	671	7	,	,	PUNCT
ijassa-1006	671	8	h.	h.	PROPN
ijassa-1006	671	9	(	(	PUNCT
ijassa-1006	671	10	2007	2007	NUM
ijassa-1006	671	11	)	)	PUNCT
ijassa-1006	671	12	.	.	PUNCT
ijassa-1006	672	1	moea	moea	PROPN
ijassa-1006	672	2	/	/	SYM
ijassa-1006	673	1	d	d	NOUN
ijassa-1006	673	2	:	:	PUNCT
ijassa-1006	673	3	a	a	DET
ijassa-1006	673	4	multiobjective	multiobjective	ADJ
ijassa-1006	673	5	evolutionary	evolutionary	ADJ
ijassa-1006	673	6	algorithm	algorithm	NOUN
ijassa-1006	673	7	based	base	VERB
ijassa-1006	673	8	on	on	ADP
ijassa-1006	673	9	decomposition	decomposition	NOUN
ijassa-1006	673	10	,	,	PUNCT
ijassa-1006	673	11	ieee	ieee	NOUN
ijassa-1006	673	12	transactions	transaction	NOUN
ijassa-1006	673	13	on	on	ADP
ijassa-1006	673	14	evolutionary	evolutionary	ADJ
ijassa-1006	673	15	computation	computation	NOUN
ijassa-1006	673	16	,	,	PUNCT
ijassa-1006	673	17	11(6	11(6	NUM
ijassa-1006	673	18	)	)	PUNCT
ijassa-1006	673	19	,	,	PUNCT
ijassa-1006	673	20	712–731	712–731	NUM
ijassa-1006	673	21	.	.	PUNCT
ijassa-1006	674	1	70	70	NUM
ijassa-1006	674	2	.	.	X
ijassa-1006	675	1	zhang	zhang	PROPN
ijassa-1006	675	2	,	,	PUNCT
ijassa-1006	675	3	x.	x.	PROPN
ijassa-1006	675	4	,	,	PUNCT
ijassa-1006	675	5	tian	tian	PROPN
ijassa-1006	675	6	,	,	PUNCT
ijassa-1006	675	7	y.	y.	PROPN
ijassa-1006	675	8	,	,	PUNCT
ijassa-1006	675	9	cheng	cheng	PROPN
ijassa-1006	675	10	,	,	PUNCT
ijassa-1006	675	11	r.	r.	PROPN
ijassa-1006	675	12	,	,	PUNCT
ijassa-1006	675	13	&	&	CCONJ
ijassa-1006	675	14	jin	jin	PROPN
ijassa-1006	675	15	,	,	PUNCT
ijassa-1006	675	16	y.	y.	PROPN
ijassa-1006	675	17	(	(	PUNCT
ijassa-1006	675	18	2015	2015	NUM
ijassa-1006	675	19	)	)	PUNCT
ijassa-1006	675	20	.	.	PUNCT
ijassa-1006	676	1	an	an	DET
ijassa-1006	676	2	efficient	efficient	ADJ
ijassa-1006	676	3	approach	approach	NOUN
ijassa-1006	676	4	to	to	ADP
ijassa-1006	676	5	nondominated	nondominated	ADJ
ijassa-1006	676	6	sorting	sorting	NOUN
ijassa-1006	676	7	for	for	ADP
ijassa-1006	676	8	evolutionary	evolutionary	ADJ
ijassa-1006	676	9	multiobjective	multiobjective	ADJ
ijassa-1006	676	10	optimization	optimization	NOUN
ijassa-1006	676	11	,	,	PUNCT
ijassa-1006	676	12	ieee	ieee	NOUN
ijassa-1006	676	13	transactions	transaction	NOUN
ijassa-1006	676	14	on	on	ADP
ijassa-1006	676	15	evolutionary	evolutionary	ADJ
ijassa-1006	676	16	computation	computation	NOUN
ijassa-1006	676	17	,	,	PUNCT
ijassa-1006	676	18	19(2	19(2	NUM
ijassa-1006	676	19	)	)	PUNCT
ijassa-1006	676	20	,	,	PUNCT
ijassa-1006	676	21	201–213	201–213	NUM
ijassa-1006	676	22	.	.	PUNCT
ijassa-1006	677	1	71	71	NUM
ijassa-1006	677	2	.	.	X
ijassa-1006	678	1	zhang	zhang	PROPN
ijassa-1006	678	2	,	,	PUNCT
ijassa-1006	678	3	y.	y.	PROPN
ijassa-1006	678	4	,	,	PUNCT
ijassa-1006	678	5	wang	wang	PROPN
ijassa-1006	678	6	,	,	PUNCT
ijassa-1006	678	7	s.	s.	PROPN
ijassa-1006	678	8	,	,	PUNCT
ijassa-1006	678	9	&	&	CCONJ
ijassa-1006	678	10	ji	ji	PROPN
ijassa-1006	678	11	,	,	PUNCT
ijassa-1006	678	12	g.	g.	PROPN
ijassa-1006	678	13	(	(	PUNCT
ijassa-1006	678	14	2015	2015	NUM
ijassa-1006	678	15	)	)	PUNCT
ijassa-1006	678	16	.	.	PUNCT
ijassa-1006	679	1	a	a	DET
ijassa-1006	679	2	comprehensive	comprehensive	ADJ
ijassa-1006	679	3	survey	survey	NOUN
ijassa-1006	679	4	on	on	ADP
ijassa-1006	679	5	particle	particle	NOUN
ijassa-1006	679	6	swarm	swarm	NOUN
ijassa-1006	679	7	optimization	optimization	NOUN
ijassa-1006	679	8	algorithm	algorithm	NOUN
ijassa-1006	679	9	and	and	CCONJ
ijassa-1006	679	10	its	its	PRON
ijassa-1006	679	11	applications	application	NOUN
ijassa-1006	679	12	,	,	PUNCT
ijassa-1006	679	13	mathematical	mathematical	ADJ
ijassa-1006	679	14	problems	problem	NOUN
ijassa-1006	679	15	in	in	ADP
ijassa-1006	679	16	engineering	engineering	NOUN
ijassa-1006	679	17	,	,	PUNCT
ijassa-1006	679	18	2015	2015	NUM
ijassa-1006	679	19	,	,	PUNCT
ijassa-1006	679	20	931256	931256	NUM
ijassa-1006	679	21	.	.	PUNCT
ijassa-1006	680	1	72	72	NUM
ijassa-1006	680	2	.	.	X
ijassa-1006	681	1	zhou	zhou	PROPN
ijassa-1006	681	2	,	,	PUNCT
ijassa-1006	681	3	a.	a.	PROPN
ijassa-1006	681	4	,	,	PUNCT
ijassa-1006	681	5	qu	qu	PROPN
ijassa-1006	681	6	,	,	PUNCT
ijassa-1006	681	7	b.	b.	PROPN
ijassa-1006	681	8	y.	y.	PROPN
ijassa-1006	681	9	,	,	PUNCT
ijassa-1006	681	10	li	li	PROPN
ijassa-1006	681	11	,	,	PUNCT
ijassa-1006	681	12	h.	h.	PROPN
ijassa-1006	681	13	,	,	PUNCT
ijassa-1006	681	14	zhao	zhao	PROPN
ijassa-1006	681	15	,	,	PUNCT
ijassa-1006	681	16	s.	s.	PROPN
ijassa-1006	681	17	z.	z.	PROPN
ijassa-1006	681	18	,	,	PUNCT
ijassa-1006	681	19	suganthan	suganthan	PROPN
ijassa-1006	681	20	,	,	PUNCT
ijassa-1006	681	21	p.	p.	PROPN
ijassa-1006	681	22	n.	n.	NOUN
ijassa-1006	681	23	,	,	PUNCT
ijassa-1006	681	24	&	&	CCONJ
ijassa-1006	681	25	zhangd	zhangd	PROPN
ijassa-1006	681	26	,	,	PUNCT
ijassa-1006	681	27	q.	q.	PROPN
ijassa-1006	681	28	(	(	PUNCT
ijassa-1006	681	29	2011	2011	NUM
ijassa-1006	681	30	)	)	PUNCT
ijassa-1006	681	31	.	.	PUNCT
ijassa-1006	682	1	multiobjective	multiobjective	ADJ
ijassa-1006	682	2	evolutionary	evolutionary	ADJ
ijassa-1006	682	3	algorithms	algorithm	NOUN
ijassa-1006	682	4	:	:	PUNCT
ijassa-1006	682	5	a	a	DET
ijassa-1006	682	6	survey	survey	NOUN
ijassa-1006	682	7	of	of	ADP
ijassa-1006	682	8	the	the	DET
ijassa-1006	682	9	state	state	NOUN
ijassa-1006	682	10	of	of	ADP
ijassa-1006	682	11	the	the	DET
ijassa-1006	682	12	art	art	NOUN
ijassa-1006	682	13	,	,	PUNCT
ijassa-1006	682	14	swarm	swarm	NOUN
ijassa-1006	682	15	and	and	CCONJ
ijassa-1006	682	16	evolutionary	evolutionary	ADJ
ijassa-1006	682	17	computation	computation	NOUN
ijassa-1006	682	18	,	,	PUNCT
ijassa-1006	682	19	1(1	1(1	NUM
ijassa-1006	682	20	)	)	PUNCT
ijassa-1006	682	21	,	,	PUNCT
ijassa-1006	682	22	32–49	32–49	NUM
ijassa-1006	682	23	.	.	PUNCT
ijassa-1006	683	1	73	73	NUM
ijassa-1006	683	2	.	.	PUNCT
ijassa-1006	684	1	zitzler	zitzler	PROPN
ijassa-1006	684	2	,	,	PUNCT
ijassa-1006	684	3	e.	e.	PROPN
ijassa-1006	684	4	,	,	PUNCT
ijassa-1006	684	5	deb	deb	PROPN
ijassa-1006	684	6	,	,	PUNCT
ijassa-1006	684	7	k.	k.	PROPN
ijassa-1006	684	8	,	,	PUNCT
ijassa-1006	684	9	&	&	CCONJ
ijassa-1006	684	10	thiele	thiele	PROPN
ijassa-1006	684	11	,	,	PUNCT
ijassa-1006	684	12	l.	l.	PROPN
ijassa-1006	684	13	(	(	PUNCT
ijassa-1006	684	14	2000	2000	NUM
ijassa-1006	684	15	)	)	PUNCT
ijassa-1006	684	16	.	.	PUNCT
ijassa-1006	685	1	comparison	comparison	NOUN
ijassa-1006	685	2	of	of	ADP
ijassa-1006	685	3	multiobjective	multiobjective	ADJ
ijassa-1006	685	4	evolutionary	evolutionary	ADJ
ijassa-1006	685	5	algorithms	algorithm	NOUN
ijassa-1006	685	6	:	:	PUNCT
ijassa-1006	685	7	empirical	empirical	ADJ
ijassa-1006	685	8	results	result	NOUN
ijassa-1006	685	9	,	,	PUNCT
ijassa-1006	685	10	evolutionary	evolutionary	ADJ
ijassa-1006	685	11	computation	computation	NOUN
ijassa-1006	685	12	,	,	PUNCT
ijassa-1006	685	13	8(2	8(2	NUM
ijassa-1006	685	14	)	)	PUNCT
ijassa-1006	685	15	,	,	PUNCT
ijassa-1006	685	16	173–195	173–195	NUM
ijassa-1006	685	17	.	.	PUNCT