id	sid	tid	token	lemma	pos
ejpam-7170	1	1	european	european	PROPN
ejpam-7170	1	2	journal	journal	PROPN
ejpam-7170	1	3	of	of	ADP
ejpam-7170	1	4	pure	pure	ADJ
ejpam-7170	1	5	and	and	CCONJ
ejpam-7170	1	6	applied	applied	ADJ
ejpam-7170	1	7	mathematics	mathematic	NOUN
ejpam-7170	1	8	2025	2025	NUM
ejpam-7170	1	9	,	,	PUNCT
ejpam-7170	1	10	vol	vol	NOUN
ejpam-7170	1	11	.	.	PROPN
ejpam-7170	1	12	18	18	NUM
ejpam-7170	1	13	,	,	PUNCT
ejpam-7170	1	14	issue	issue	NOUN
ejpam-7170	1	15	4	4	NUM
ejpam-7170	1	16	,	,	PUNCT
ejpam-7170	1	17	article	article	NOUN
ejpam-7170	1	18	number	number	NOUN
ejpam-7170	1	19	7170	7170	NUM
ejpam-7170	1	20	issn	issn	VERB
ejpam-7170	1	21	1307	1307	NUM
ejpam-7170	1	22	-	-	SYM
ejpam-7170	1	23	5543	5543	NUM
ejpam-7170	1	24	–	–	PUNCT
ejpam-7170	1	25	ejpam.com	ejpam.com	X
ejpam-7170	1	26	published	publish	VERB
ejpam-7170	1	27	by	by	ADP
ejpam-7170	1	28	new	new	PROPN
ejpam-7170	1	29	york	york	PROPN
ejpam-7170	1	30	business	business	PROPN
ejpam-7170	1	31	global	global	ADJ
ejpam-7170	1	32	solving	solve	VERB
ejpam-7170	1	33	multi	multi	ADJ
ejpam-7170	1	34	-	-	ADJ
ejpam-7170	1	35	objective	objective	ADJ
ejpam-7170	1	36	resource	resource	NOUN
ejpam-7170	1	37	allocation	allocation	NOUN
ejpam-7170	1	38	problem	problem	NOUN
ejpam-7170	1	39	using	use	VERB
ejpam-7170	1	40	a	a	DET
ejpam-7170	1	41	novel	novel	ADJ
ejpam-7170	1	42	optimization	optimization	NOUN
ejpam-7170	1	43	approach	approach	NOUN
ejpam-7170	1	44	:	:	PUNCT
ejpam-7170	1	45	genetic	genetic	ADJ
ejpam-7170	1	46	algorithm	algorithm	NOUN
ejpam-7170	1	47	with	with	ADP
ejpam-7170	1	48	hybrid	hybrid	ADJ
ejpam-7170	1	49	mutation	mutation	NOUN
ejpam-7170	1	50	m.a	m.a	PROPN
ejpam-7170	1	51	.	.	PROPN
ejpam-7170	1	52	el	el	PROPN
ejpam-7170	1	53	-	-	PUNCT
ejpam-7170	1	54	shorbagy1,∗	shorbagy1,∗	NOUN
ejpam-7170	1	55	,	,	PUNCT
ejpam-7170	1	56	m.a	m.a	PROPN
ejpam-7170	1	57	.	.	PROPN
ejpam-7170	1	58	elsisy2	elsisy2	PROPN
ejpam-7170	2	1	1	1	NUM
ejpam-7170	2	2	department	department	NOUN
ejpam-7170	2	3	of	of	ADP
ejpam-7170	2	4	mathematics	mathematic	NOUN
ejpam-7170	2	5	,	,	PUNCT
ejpam-7170	2	6	college	college	NOUN
ejpam-7170	2	7	of	of	ADP
ejpam-7170	2	8	science	science	NOUN
ejpam-7170	2	9	and	and	CCONJ
ejpam-7170	2	10	humanities	humanity	NOUN
ejpam-7170	2	11	in	in	ADP
ejpam-7170	2	12	al	al	PROPN
ejpam-7170	2	13	-	-	PUNCT
ejpam-7170	2	14	kharj	kharj	PROPN
ejpam-7170	2	15	,	,	PUNCT
ejpam-7170	2	16	prince	prince	PROPN
ejpam-7170	2	17	sattam	sattam	PROPN
ejpam-7170	2	18	bin	bin	PROPN
ejpam-7170	2	19	abdulaziz	abdulaziz	PROPN
ejpam-7170	2	20	university	university	PROPN
ejpam-7170	2	21	,	,	PUNCT
ejpam-7170	2	22	al	al	PROPN
ejpam-7170	2	23	-	-	PUNCT
ejpam-7170	2	24	kharj	kharj	PROPN
ejpam-7170	2	25	11942	11942	NUM
ejpam-7170	2	26	,	,	PUNCT
ejpam-7170	2	27	saudi	saudi	PROPN
ejpam-7170	2	28	arabia	arabia	PROPN
ejpam-7170	2	29	2	2	NUM
ejpam-7170	2	30	department	department	NOUN
ejpam-7170	2	31	of	of	ADP
ejpam-7170	2	32	basic	basic	ADJ
ejpam-7170	2	33	engineering	engineering	NOUN
ejpam-7170	2	34	science	science	NOUN
ejpam-7170	2	35	,	,	PUNCT
ejpam-7170	2	36	faculty	faculty	NOUN
ejpam-7170	2	37	of	of	ADP
ejpam-7170	2	38	engineering	engineering	NOUN
ejpam-7170	2	39	at	at	ADP
ejpam-7170	2	40	benha	benha	NOUN
ejpam-7170	2	41	,	,	PUNCT
ejpam-7170	2	42	benha	benha	VERB
ejpam-7170	2	43	university	university	NOUN
ejpam-7170	2	44	,	,	PUNCT
ejpam-7170	2	45	benha	benha	NOUN
ejpam-7170	2	46	,	,	PUNCT
ejpam-7170	2	47	egypt	egypt	PROPN
ejpam-7170	2	48	abstract	abstract	PROPN
ejpam-7170	2	49	.	.	PUNCT
ejpam-7170	3	1	the	the	DET
ejpam-7170	3	2	multi	multi	ADJ
ejpam-7170	3	3	-	-	ADJ
ejpam-7170	3	4	objective	objective	ADJ
ejpam-7170	3	5	resource	resource	NOUN
ejpam-7170	3	6	allocation	allocation	NOUN
ejpam-7170	3	7	problem	problem	NOUN
ejpam-7170	3	8	(	(	PUNCT
ejpam-7170	3	9	morap	morap	NOUN
ejpam-7170	3	10	)	)	PUNCT
ejpam-7170	3	11	refers	refer	VERB
ejpam-7170	3	12	to	to	ADP
ejpam-7170	3	13	the	the	DET
ejpam-7170	3	14	challenge	challenge	NOUN
ejpam-7170	3	15	of	of	ADP
ejpam-7170	3	16	distributing	distribute	VERB
ejpam-7170	3	17	limited	limited	ADJ
ejpam-7170	3	18	resources	resource	NOUN
ejpam-7170	3	19	across	across	ADP
ejpam-7170	3	20	multiple	multiple	ADJ
ejpam-7170	3	21	projects	project	NOUN
ejpam-7170	3	22	or	or	CCONJ
ejpam-7170	3	23	business	business	NOUN
ejpam-7170	3	24	divisions	division	NOUN
ejpam-7170	3	25	while	while	SCONJ
ejpam-7170	3	26	simultaneously	simultaneously	ADV
ejpam-7170	3	27	satisfying	satisfy	VERB
ejpam-7170	3	28	several	several	ADJ
ejpam-7170	3	29	,	,	PUNCT
ejpam-7170	3	30	often	often	ADV
ejpam-7170	3	31	conflicting	conflict	VERB
ejpam-7170	3	32	,	,	PUNCT
ejpam-7170	3	33	objectives	objective	NOUN
ejpam-7170	3	34	.	.	PUNCT
ejpam-7170	4	1	such	such	ADJ
ejpam-7170	4	2	problems	problem	NOUN
ejpam-7170	4	3	are	be	AUX
ejpam-7170	4	4	common	common	ADJ
ejpam-7170	4	5	in	in	ADP
ejpam-7170	4	6	engineering	engineering	NOUN
ejpam-7170	4	7	,	,	PUNCT
ejpam-7170	4	8	management	management	NOUN
ejpam-7170	4	9	,	,	PUNCT
ejpam-7170	4	10	and	and	CCONJ
ejpam-7170	4	11	operations	operation	NOUN
ejpam-7170	4	12	research	research	NOUN
ejpam-7170	4	13	,	,	PUNCT
ejpam-7170	4	14	where	where	SCONJ
ejpam-7170	4	15	decision	decision	NOUN
ejpam-7170	4	16	-	-	PUNCT
ejpam-7170	4	17	makers	maker	NOUN
ejpam-7170	4	18	must	must	AUX
ejpam-7170	4	19	balance	balance	VERB
ejpam-7170	4	20	cost	cost	NOUN
ejpam-7170	4	21	,	,	PUNCT
ejpam-7170	4	22	efficiency	efficiency	NOUN
ejpam-7170	4	23	,	,	PUNCT
ejpam-7170	4	24	and	and	CCONJ
ejpam-7170	4	25	performance	performance	NOUN
ejpam-7170	4	26	.	.	PUNCT
ejpam-7170	5	1	to	to	PART
ejpam-7170	5	2	address	address	VERB
ejpam-7170	5	3	this	this	DET
ejpam-7170	5	4	challenge	challenge	NOUN
ejpam-7170	5	5	,	,	PUNCT
ejpam-7170	5	6	this	this	DET
ejpam-7170	5	7	paper	paper	NOUN
ejpam-7170	5	8	introduces	introduce	VERB
ejpam-7170	5	9	a	a	DET
ejpam-7170	5	10	novel	novel	ADJ
ejpam-7170	5	11	genetic	genetic	ADJ
ejpam-7170	5	12	algorithm	algorithm	NOUN
ejpam-7170	5	13	with	with	ADP
ejpam-7170	5	14	hybrid	hybrid	ADJ
ejpam-7170	5	15	mutation	mutation	NOUN
ejpam-7170	5	16	(	(	PUNCT
ejpam-7170	5	17	ga	ga	NOUN
ejpam-7170	5	18	-	-	PUNCT
ejpam-7170	5	19	hm	hm	NOUN
ejpam-7170	5	20	)	)	PUNCT
ejpam-7170	5	21	specifically	specifically	ADV
ejpam-7170	5	22	designed	design	VERB
ejpam-7170	5	23	for	for	ADP
ejpam-7170	5	24	morap	morap	NOUN
ejpam-7170	5	25	.	.	PUNCT
ejpam-7170	6	1	the	the	DET
ejpam-7170	6	2	proposed	propose	VERB
ejpam-7170	6	3	approach	approach	NOUN
ejpam-7170	6	4	integrates	integrate	VERB
ejpam-7170	6	5	two	two	NUM
ejpam-7170	6	6	complementary	complementary	ADJ
ejpam-7170	6	7	mutation	mutation	NOUN
ejpam-7170	6	8	operators	operator	NOUN
ejpam-7170	6	9	—	—	PUNCT
ejpam-7170	6	10	displacement	displacement	ADJ
ejpam-7170	6	11	mutation	mutation	NOUN
ejpam-7170	6	12	and	and	CCONJ
ejpam-7170	6	13	inversion	inversion	NOUN
ejpam-7170	6	14	mutation	mutation	NOUN
ejpam-7170	6	15	—	—	PUNCT
ejpam-7170	6	16	applied	apply	VERB
ejpam-7170	6	17	in	in	ADP
ejpam-7170	6	18	a	a	DET
ejpam-7170	6	19	randomized	randomized	ADJ
ejpam-7170	6	20	manner	manner	NOUN
ejpam-7170	6	21	.	.	PUNCT
ejpam-7170	7	1	this	this	DET
ejpam-7170	7	2	hybridization	hybridization	NOUN
ejpam-7170	7	3	increases	increase	VERB
ejpam-7170	7	4	the	the	DET
ejpam-7170	7	5	exploration	exploration	NOUN
ejpam-7170	7	6	capability	capability	NOUN
ejpam-7170	7	7	of	of	ADP
ejpam-7170	7	8	the	the	DET
ejpam-7170	7	9	algorithm	algorithm	NOUN
ejpam-7170	7	10	,	,	PUNCT
ejpam-7170	7	11	maintains	maintain	VERB
ejpam-7170	7	12	population	population	NOUN
ejpam-7170	7	13	diversity	diversity	NOUN
ejpam-7170	7	14	,	,	PUNCT
ejpam-7170	7	15	and	and	CCONJ
ejpam-7170	7	16	reduces	reduce	VERB
ejpam-7170	7	17	the	the	DET
ejpam-7170	7	18	risk	risk	NOUN
ejpam-7170	7	19	of	of	ADP
ejpam-7170	7	20	premature	premature	ADJ
ejpam-7170	7	21	convergence	convergence	NOUN
ejpam-7170	7	22	to	to	ADP
ejpam-7170	7	23	local	local	ADJ
ejpam-7170	7	24	optima	optima	NOUN
ejpam-7170	7	25	.	.	PUNCT
ejpam-7170	8	1	to	to	PART
ejpam-7170	8	2	evaluate	evaluate	VERB
ejpam-7170	8	3	the	the	DET
ejpam-7170	8	4	effectiveness	effectiveness	NOUN
ejpam-7170	8	5	of	of	ADP
ejpam-7170	8	6	ga	ga	PROPN
ejpam-7170	8	7	-	-	PUNCT
ejpam-7170	8	8	hm	hm	PROPN
ejpam-7170	8	9	,	,	PUNCT
ejpam-7170	8	10	two	two	NUM
ejpam-7170	8	11	benchmark	benchmark	ADJ
ejpam-7170	8	12	test	test	NOUN
ejpam-7170	8	13	problems	problem	NOUN
ejpam-7170	8	14	from	from	ADP
ejpam-7170	8	15	the	the	DET
ejpam-7170	8	16	literature	literature	NOUN
ejpam-7170	8	17	are	be	AUX
ejpam-7170	8	18	considered	consider	VERB
ejpam-7170	8	19	,	,	PUNCT
ejpam-7170	8	20	both	both	PRON
ejpam-7170	8	21	involving	involve	VERB
ejpam-7170	8	22	multi	multi	ADJ
ejpam-7170	8	23	-	-	ADJ
ejpam-7170	8	24	objective	objective	ADJ
ejpam-7170	8	25	workforce	workforce	NOUN
ejpam-7170	8	26	-	-	PUNCT
ejpam-7170	8	27	task	task	NOUN
ejpam-7170	8	28	allocation	allocation	NOUN
ejpam-7170	8	29	.	.	PUNCT
ejpam-7170	9	1	experimental	experimental	ADJ
ejpam-7170	9	2	results	result	NOUN
ejpam-7170	9	3	clearly	clearly	ADV
ejpam-7170	9	4	demonstrate	demonstrate	VERB
ejpam-7170	9	5	that	that	SCONJ
ejpam-7170	9	6	ga	ga	PROPN
ejpam-7170	9	7	-	-	PUNCT
ejpam-7170	9	8	hm	hm	PROPN
ejpam-7170	9	9	consistently	consistently	ADV
ejpam-7170	9	10	produces	produce	VERB
ejpam-7170	9	11	superior	superior	ADJ
ejpam-7170	9	12	solutions	solution	NOUN
ejpam-7170	9	13	compared	compare	VERB
ejpam-7170	9	14	to	to	ADP
ejpam-7170	9	15	existing	exist	VERB
ejpam-7170	9	16	approaches	approach	NOUN
ejpam-7170	9	17	such	such	ADJ
ejpam-7170	9	18	as	as	ADP
ejpam-7170	9	19	fuzzy	fuzzy	ADJ
ejpam-7170	9	20	dynamic	dynamic	ADJ
ejpam-7170	9	21	programming	programming	NOUN
ejpam-7170	9	22	,	,	PUNCT
ejpam-7170	9	23	fuzzy	fuzzy	ADJ
ejpam-7170	9	24	dynamic	dynamic	ADJ
ejpam-7170	9	25	optimization	optimization	NOUN
ejpam-7170	9	26	,	,	PUNCT
ejpam-7170	9	27	effective	effective	ADJ
ejpam-7170	9	28	ga	ga	NOUN
ejpam-7170	9	29	methods	method	NOUN
ejpam-7170	9	30	,	,	PUNCT
ejpam-7170	9	31	k	k	NOUN
ejpam-7170	9	32	-	-	PUNCT
ejpam-7170	9	33	means	means	NOUN
ejpam-7170	9	34	-	-	PUNCT
ejpam-7170	9	35	based	base	VERB
ejpam-7170	9	36	ga	ga	PROPN
ejpam-7170	9	37	,	,	PUNCT
ejpam-7170	9	38	and	and	CCONJ
ejpam-7170	9	39	multi	multi	ADJ
ejpam-7170	9	40	-	-	ADJ
ejpam-7170	9	41	objective	objective	ADJ
ejpam-7170	9	42	hybrid	hybrid	ADJ
ejpam-7170	9	43	gas	gas	NOUN
ejpam-7170	9	44	.	.	PUNCT
ejpam-7170	10	1	importantly	importantly	ADV
ejpam-7170	10	2	,	,	PUNCT
ejpam-7170	10	3	ga	ga	PROPN
ejpam-7170	10	4	-	-	PROPN
ejpam-7170	10	5	hm	hm	INTJ
ejpam-7170	10	6	not	not	PART
ejpam-7170	10	7	only	only	ADV
ejpam-7170	10	8	identifies	identify	VERB
ejpam-7170	10	9	optimal	optimal	ADJ
ejpam-7170	10	10	trade	trade	NOUN
ejpam-7170	10	11	-	-	PUNCT
ejpam-7170	10	12	offs	off	NOUN
ejpam-7170	10	13	between	between	ADP
ejpam-7170	10	14	cost	cost	NOUN
ejpam-7170	10	15	and	and	CCONJ
ejpam-7170	10	16	efficiency	efficiency	NOUN
ejpam-7170	10	17	but	but	CCONJ
ejpam-7170	10	18	also	also	ADV
ejpam-7170	10	19	provides	provide	VERB
ejpam-7170	10	20	a	a	DET
ejpam-7170	10	21	well	well	ADV
ejpam-7170	10	22	-	-	PUNCT
ejpam-7170	10	23	distributed	distribute	VERB
ejpam-7170	10	24	set	set	NOUN
ejpam-7170	10	25	of	of	ADP
ejpam-7170	10	26	non	non	ADJ
ejpam-7170	10	27	-	-	ADJ
ejpam-7170	10	28	dominated	dominated	ADJ
ejpam-7170	10	29	(	(	PUNCT
ejpam-7170	10	30	nd	nd	NOUN
ejpam-7170	10	31	)	)	PUNCT
ejpam-7170	10	32	solutions	solution	NOUN
ejpam-7170	10	33	,	,	PUNCT
ejpam-7170	10	34	offering	offer	VERB
ejpam-7170	10	35	decision	decision	NOUN
ejpam-7170	10	36	-	-	PUNCT
ejpam-7170	10	37	makers	maker	NOUN
ejpam-7170	10	38	a	a	DET
ejpam-7170	10	39	broader	broad	ADJ
ejpam-7170	10	40	range	range	NOUN
ejpam-7170	10	41	of	of	ADP
ejpam-7170	10	42	alternatives	alternative	NOUN
ejpam-7170	10	43	for	for	ADP
ejpam-7170	10	44	resource	resource	NOUN
ejpam-7170	10	45	planning	planning	NOUN
ejpam-7170	10	46	.	.	PUNCT
ejpam-7170	11	1	overall	overall	ADV
ejpam-7170	11	2	,	,	PUNCT
ejpam-7170	11	3	the	the	DET
ejpam-7170	11	4	findings	finding	NOUN
ejpam-7170	11	5	confirm	confirm	VERB
ejpam-7170	11	6	that	that	SCONJ
ejpam-7170	11	7	ga	ga	PROPN
ejpam-7170	11	8	-	-	PUNCT
ejpam-7170	11	9	hm	hm	PROPN
ejpam-7170	11	10	is	be	AUX
ejpam-7170	11	11	a	a	DET
ejpam-7170	11	12	robust	robust	ADJ
ejpam-7170	11	13	and	and	CCONJ
ejpam-7170	11	14	efficient	efficient	ADJ
ejpam-7170	11	15	method	method	NOUN
ejpam-7170	11	16	for	for	ADP
ejpam-7170	11	17	solving	solve	VERB
ejpam-7170	11	18	moraps	morap	NOUN
ejpam-7170	11	19	.	.	PUNCT
ejpam-7170	12	1	by	by	ADP
ejpam-7170	12	2	generating	generate	VERB
ejpam-7170	12	3	diverse	diverse	ADJ
ejpam-7170	12	4	pareto	pareto	VERB
ejpam-7170	12	5	-	-	PUNCT
ejpam-7170	12	6	optimal	optimal	ADJ
ejpam-7170	12	7	solutions	solution	NOUN
ejpam-7170	12	8	,	,	PUNCT
ejpam-7170	12	9	the	the	DET
ejpam-7170	12	10	algorithm	algorithm	NOUN
ejpam-7170	12	11	equips	equip	VERB
ejpam-7170	12	12	practitioners	practitioner	NOUN
ejpam-7170	12	13	with	with	ADP
ejpam-7170	12	14	practical	practical	ADJ
ejpam-7170	12	15	decision	decision	NOUN
ejpam-7170	12	16	support	support	NOUN
ejpam-7170	12	17	tools	tool	NOUN
ejpam-7170	12	18	for	for	ADP
ejpam-7170	12	19	complex	complex	ADJ
ejpam-7170	12	20	multi	multi	ADJ
ejpam-7170	12	21	-	-	ADJ
ejpam-7170	12	22	objective	objective	ADJ
ejpam-7170	12	23	optimization	optimization	NOUN
ejpam-7170	12	24	tasks	task	NOUN
ejpam-7170	12	25	.	.	PUNCT
ejpam-7170	13	1	moreover	moreover	ADV
ejpam-7170	13	2	,	,	PUNCT
ejpam-7170	13	3	the	the	DET
ejpam-7170	13	4	proposed	propose	VERB
ejpam-7170	13	5	methodology	methodology	NOUN
ejpam-7170	13	6	demonstrates	demonstrate	VERB
ejpam-7170	13	7	strong	strong	ADJ
ejpam-7170	13	8	potential	potential	NOUN
ejpam-7170	13	9	for	for	ADP
ejpam-7170	13	10	extension	extension	NOUN
ejpam-7170	13	11	to	to	ADP
ejpam-7170	13	12	other	other	ADJ
ejpam-7170	13	13	realworld	realworld	PROPN
ejpam-7170	13	14	engineering	engineering	PROPN
ejpam-7170	13	15	and	and	CCONJ
ejpam-7170	13	16	management	management	NOUN
ejpam-7170	13	17	applications	application	NOUN
ejpam-7170	13	18	that	that	PRON
ejpam-7170	13	19	require	require	VERB
ejpam-7170	13	20	effective	effective	ADJ
ejpam-7170	13	21	multi	multi	ADJ
ejpam-7170	13	22	-	-	ADJ
ejpam-7170	13	23	objective	objective	ADJ
ejpam-7170	13	24	resource	resource	NOUN
ejpam-7170	13	25	allocation	allocation	NOUN
ejpam-7170	13	26	strategies	strategy	NOUN
ejpam-7170	13	27	.	.	PUNCT
ejpam-7170	14	1	2020	2020	NUM
ejpam-7170	14	2	mathematics	mathematic	NOUN
ejpam-7170	14	3	subject	subject	NOUN
ejpam-7170	14	4	classifications	classification	NOUN
ejpam-7170	14	5	:	:	PUNCT
ejpam-7170	14	6	90c29	90c29	NUM
ejpam-7170	14	7	,	,	PUNCT
ejpam-7170	14	8	68w50	68w50	NUM
ejpam-7170	14	9	,	,	PUNCT
ejpam-7170	14	10	90b30	90b30	DET
ejpam-7170	14	11	key	key	ADJ
ejpam-7170	14	12	words	word	NOUN
ejpam-7170	14	13	and	and	CCONJ
ejpam-7170	14	14	phrases	phrase	NOUN
ejpam-7170	14	15	:	:	PUNCT
ejpam-7170	14	16	multi	multi	ADJ
ejpam-7170	14	17	-	-	ADJ
ejpam-7170	14	18	objective	objective	ADJ
ejpam-7170	14	19	optimization	optimization	NOUN
ejpam-7170	14	20	,	,	PUNCT
ejpam-7170	14	21	resource	resource	NOUN
ejpam-7170	14	22	allocation	allocation	NOUN
ejpam-7170	14	23	problem	problem	NOUN
ejpam-7170	14	24	,	,	PUNCT
ejpam-7170	14	25	genetic	genetic	ADJ
ejpam-7170	14	26	algorithm	algorithm	NOUN
ejpam-7170	14	27	,	,	PUNCT
ejpam-7170	14	28	optimization	optimization	NOUN
ejpam-7170	14	29	∗corresponding	∗corresponde	VERB
ejpam-7170	14	30	author	author	NOUN
ejpam-7170	14	31	.	.	PUNCT
ejpam-7170	15	1	doi	doi	NOUN
ejpam-7170	15	2	:	:	PUNCT
ejpam-7170	15	3	https://doi.org/10.29020/nybg.ejpam.v18i4.7170	https://doi.org/10.29020/nybg.ejpam.v18i4.7170	PRON
ejpam-7170	15	4	email	email	NOUN
ejpam-7170	15	5	addresses	address	NOUN
ejpam-7170	15	6	:	:	PUNCT
ejpam-7170	15	7	mohammed_shorbagy@yahoo.com	mohammed_shorbagy@yahoo.com	X
ejpam-7170	15	8	(	(	PUNCT
ejpam-7170	15	9	m.a	m.a	PROPN
ejpam-7170	15	10	.	.	PROPN
ejpam-7170	15	11	el	el	PROPN
ejpam-7170	15	12	-	-	PUNCT
ejpam-7170	15	13	shorbagy	shorbagy	ADJ
ejpam-7170	15	14	)	)	PUNCT
ejpam-7170	15	15	https://www.ejpam.com	https://www.ejpam.com	NOUN
ejpam-7170	15	16	1	1	NUM
ejpam-7170	15	17	copyright	copyright	NOUN
ejpam-7170	15	18	:	:	PUNCT
ejpam-7170	16	1	©	©	PROPN
ejpam-7170	16	2	2025	2025	NUM
ejpam-7170	16	3	the	the	DET
ejpam-7170	16	4	author(s	author(s	NOUN
ejpam-7170	16	5	)	)	PUNCT
ejpam-7170	16	6	.	.	PUNCT
ejpam-7170	17	1	(	(	PUNCT
ejpam-7170	17	2	cc	cc	NOUN
ejpam-7170	17	3	by	by	ADP
ejpam-7170	17	4	-	-	PUNCT
ejpam-7170	17	5	nc	nc	PROPN
ejpam-7170	17	6	4.0	4.0	NUM
ejpam-7170	17	7	)	)	PUNCT
ejpam-7170	17	8	m.a	m.a	PROPN
ejpam-7170	17	9	.	.	PROPN
ejpam-7170	17	10	el	el	PROPN
ejpam-7170	17	11	-	-	PROPN
ejpam-7170	17	12	shorbagy	shorbagy	PROPN
ejpam-7170	17	13	et	et	PROPN
ejpam-7170	17	14	al	al	PROPN
ejpam-7170	17	15	.	.	PUNCT
ejpam-7170	17	16	/	/	SYM
ejpam-7170	17	17	eur	eur	PROPN
ejpam-7170	17	18	.	.	PUNCT
ejpam-7170	18	1	j.	j.	PROPN
ejpam-7170	18	2	pure	pure	PROPN
ejpam-7170	18	3	appl	appl	PROPN
ejpam-7170	18	4	.	.	PROPN
ejpam-7170	18	5	math	math	PROPN
ejpam-7170	18	6	,	,	PUNCT
ejpam-7170	18	7	18	18	NUM
ejpam-7170	18	8	(	(	PUNCT
ejpam-7170	18	9	4	4	NUM
ejpam-7170	18	10	)	)	PUNCT
ejpam-7170	18	11	(	(	PUNCT
ejpam-7170	18	12	2025	2025	NUM
ejpam-7170	18	13	)	)	PUNCT
ejpam-7170	18	14	,	,	PUNCT
ejpam-7170	18	15	7170	7170	NUM
ejpam-7170	18	16	2	2	NUM
ejpam-7170	18	17	of	of	ADP
ejpam-7170	18	18	21	21	NUM
ejpam-7170	18	19	1	1	NUM
ejpam-7170	18	20	.	.	PUNCT
ejpam-7170	18	21	introduction	introduction	NOUN
ejpam-7170	18	22	the	the	DET
ejpam-7170	18	23	purpose	purpose	NOUN
ejpam-7170	18	24	of	of	ADP
ejpam-7170	18	25	resource	resource	NOUN
ejpam-7170	18	26	allocation	allocation	NOUN
ejpam-7170	18	27	is	be	AUX
ejpam-7170	18	28	to	to	PART
ejpam-7170	18	29	distribute	distribute	VERB
ejpam-7170	18	30	available	available	ADJ
ejpam-7170	18	31	resources	resource	NOUN
ejpam-7170	18	32	in	in	ADP
ejpam-7170	18	33	a	a	DET
ejpam-7170	18	34	costeffective	costeffective	ADJ
ejpam-7170	18	35	and	and	CCONJ
ejpam-7170	18	36	efficient	efficient	ADJ
ejpam-7170	18	37	manner	manner	NOUN
ejpam-7170	18	38	in	in	ADP
ejpam-7170	18	39	order	order	NOUN
ejpam-7170	18	40	to	to	PART
ejpam-7170	18	41	achieve	achieve	VERB
ejpam-7170	18	42	organizational	organizational	ADJ
ejpam-7170	18	43	goals	goal	NOUN
ejpam-7170	18	44	.	.	PUNCT
ejpam-7170	19	1	it	it	PRON
ejpam-7170	19	2	forms	form	VERB
ejpam-7170	19	3	an	an	DET
ejpam-7170	19	4	essential	essential	ADJ
ejpam-7170	19	5	component	component	NOUN
ejpam-7170	19	6	of	of	ADP
ejpam-7170	19	7	resource	resource	NOUN
ejpam-7170	19	8	management	management	NOUN
ejpam-7170	19	9	,	,	PUNCT
ejpam-7170	19	10	as	as	SCONJ
ejpam-7170	19	11	it	it	PRON
ejpam-7170	19	12	ensures	ensure	VERB
ejpam-7170	19	13	that	that	SCONJ
ejpam-7170	19	14	tasks	task	NOUN
ejpam-7170	19	15	and	and	CCONJ
ejpam-7170	19	16	projects	project	NOUN
ejpam-7170	19	17	are	be	AUX
ejpam-7170	19	18	completed	complete	VERB
ejpam-7170	19	19	within	within	ADP
ejpam-7170	19	20	defined	define	VERB
ejpam-7170	19	21	constraints	constraint	NOUN
ejpam-7170	19	22	of	of	ADP
ejpam-7170	19	23	time	time	NOUN
ejpam-7170	19	24	,	,	PUNCT
ejpam-7170	19	25	manpower	manpower	NOUN
ejpam-7170	19	26	,	,	PUNCT
ejpam-7170	19	27	and	and	CCONJ
ejpam-7170	19	28	budget	budget	NOUN
ejpam-7170	19	29	.	.	PUNCT
ejpam-7170	20	1	effective	effective	ADJ
ejpam-7170	20	2	allocation	allocation	NOUN
ejpam-7170	20	3	requires	require	VERB
ejpam-7170	20	4	careful	careful	ADJ
ejpam-7170	20	5	planning	planning	NOUN
ejpam-7170	20	6	of	of	ADP
ejpam-7170	20	7	not	not	PART
ejpam-7170	20	8	only	only	ADV
ejpam-7170	20	9	how	how	SCONJ
ejpam-7170	20	10	much	much	ADJ
ejpam-7170	20	11	time	time	NOUN
ejpam-7170	20	12	is	be	AUX
ejpam-7170	20	13	needed	need	VERB
ejpam-7170	20	14	for	for	ADP
ejpam-7170	20	15	each	each	DET
ejpam-7170	20	16	activity	activity	NOUN
ejpam-7170	20	17	but	but	CCONJ
ejpam-7170	20	18	also	also	ADV
ejpam-7170	20	19	the	the	DET
ejpam-7170	20	20	types	type	NOUN
ejpam-7170	20	21	and	and	CCONJ
ejpam-7170	20	22	quantities	quantity	NOUN
ejpam-7170	20	23	of	of	ADP
ejpam-7170	20	24	resources	resource	NOUN
ejpam-7170	20	25	required	require	VERB
ejpam-7170	20	26	.	.	PUNCT
ejpam-7170	21	1	this	this	DET
ejpam-7170	21	2	systematic	systematic	ADJ
ejpam-7170	21	3	distribution	distribution	NOUN
ejpam-7170	21	4	of	of	ADP
ejpam-7170	21	5	resources	resource	NOUN
ejpam-7170	21	6	is	be	AUX
ejpam-7170	21	7	commonly	commonly	ADV
ejpam-7170	21	8	referred	refer	VERB
ejpam-7170	21	9	to	to	ADP
ejpam-7170	21	10	as	as	ADP
ejpam-7170	21	11	resource	resource	NOUN
ejpam-7170	21	12	allocation	allocation	NOUN
ejpam-7170	21	13	[	[	X
ejpam-7170	21	14	1	1	NUM
ejpam-7170	21	15	]	]	PUNCT
ejpam-7170	21	16	.	.	PUNCT
ejpam-7170	22	1	when	when	SCONJ
ejpam-7170	22	2	extended	extend	VERB
ejpam-7170	22	3	to	to	ADP
ejpam-7170	22	4	multi	multi	ADJ
ejpam-7170	22	5	-	-	ADJ
ejpam-7170	22	6	objective	objective	ADJ
ejpam-7170	22	7	settings	setting	NOUN
ejpam-7170	22	8	,	,	PUNCT
ejpam-7170	22	9	resource	resource	NOUN
ejpam-7170	22	10	allocation	allocation	NOUN
ejpam-7170	22	11	becomes	become	VERB
ejpam-7170	22	12	significantly	significantly	ADV
ejpam-7170	22	13	more	more	ADV
ejpam-7170	22	14	complex	complex	ADJ
ejpam-7170	22	15	and	and	CCONJ
ejpam-7170	22	16	is	be	AUX
ejpam-7170	22	17	referred	refer	VERB
ejpam-7170	22	18	to	to	ADP
ejpam-7170	22	19	as	as	ADP
ejpam-7170	22	20	the	the	DET
ejpam-7170	22	21	multi	multi	ADJ
ejpam-7170	22	22	-	-	ADJ
ejpam-7170	22	23	objective	objective	ADJ
ejpam-7170	22	24	resource	resource	NOUN
ejpam-7170	22	25	allocation	allocation	NOUN
ejpam-7170	22	26	problem	problem	NOUN
ejpam-7170	22	27	(	(	PUNCT
ejpam-7170	22	28	morap	morap	NOUN
ejpam-7170	22	29	)	)	PUNCT
ejpam-7170	22	30	.	.	PUNCT
ejpam-7170	23	1	in	in	ADP
ejpam-7170	23	2	this	this	DET
ejpam-7170	23	3	context	context	NOUN
ejpam-7170	23	4	,	,	PUNCT
ejpam-7170	23	5	resources	resource	NOUN
ejpam-7170	23	6	are	be	AUX
ejpam-7170	23	7	distributed	distribute	VERB
ejpam-7170	23	8	across	across	ADP
ejpam-7170	23	9	multiple	multiple	ADJ
ejpam-7170	23	10	projects	project	NOUN
ejpam-7170	23	11	,	,	PUNCT
ejpam-7170	23	12	departments	department	NOUN
ejpam-7170	23	13	,	,	PUNCT
ejpam-7170	23	14	or	or	CCONJ
ejpam-7170	23	15	tasks	task	NOUN
ejpam-7170	23	16	in	in	ADP
ejpam-7170	23	17	order	order	NOUN
ejpam-7170	23	18	to	to	PART
ejpam-7170	23	19	achieve	achieve	VERB
ejpam-7170	23	20	competing	compete	VERB
ejpam-7170	23	21	objectives	objective	NOUN
ejpam-7170	23	22	.	.	PUNCT
ejpam-7170	24	1	a	a	DET
ejpam-7170	24	2	resource	resource	NOUN
ejpam-7170	24	3	,	,	PUNCT
ejpam-7170	24	4	in	in	ADP
ejpam-7170	24	5	general	general	ADJ
ejpam-7170	24	6	,	,	PUNCT
ejpam-7170	24	7	may	may	AUX
ejpam-7170	24	8	refer	refer	VERB
ejpam-7170	24	9	to	to	ADP
ejpam-7170	24	10	manpower	manpower	NOUN
ejpam-7170	24	11	,	,	PUNCT
ejpam-7170	24	12	raw	raw	ADJ
ejpam-7170	24	13	materials	material	NOUN
ejpam-7170	24	14	,	,	PUNCT
ejpam-7170	24	15	capital	capital	NOUN
ejpam-7170	24	16	,	,	PUNCT
ejpam-7170	24	17	equipment	equipment	NOUN
ejpam-7170	24	18	,	,	PUNCT
ejpam-7170	24	19	or	or	CCONJ
ejpam-7170	24	20	any	any	DET
ejpam-7170	24	21	limited	limited	ADJ
ejpam-7170	24	22	asset	asset	NOUN
ejpam-7170	24	23	that	that	PRON
ejpam-7170	24	24	can	can	AUX
ejpam-7170	24	25	be	be	AUX
ejpam-7170	24	26	utilized	utilize	VERB
ejpam-7170	24	27	to	to	PART
ejpam-7170	24	28	accomplish	accomplish	VERB
ejpam-7170	24	29	a	a	DET
ejpam-7170	24	30	goal	goal	NOUN
ejpam-7170	24	31	.	.	PUNCT
ejpam-7170	25	1	the	the	DET
ejpam-7170	25	2	objectives	objective	NOUN
ejpam-7170	25	3	themselves	themselves	PRON
ejpam-7170	25	4	are	be	AUX
ejpam-7170	25	5	often	often	ADV
ejpam-7170	25	6	conflicting	conflict	VERB
ejpam-7170	25	7	—	—	PUNCT
ejpam-7170	25	8	for	for	ADP
ejpam-7170	25	9	instance	instance	NOUN
ejpam-7170	25	10	,	,	PUNCT
ejpam-7170	25	11	organizations	organization	NOUN
ejpam-7170	25	12	may	may	AUX
ejpam-7170	25	13	simultaneously	simultaneously	ADV
ejpam-7170	25	14	seek	seek	VERB
ejpam-7170	25	15	to	to	PART
ejpam-7170	25	16	maximize	maximize	VERB
ejpam-7170	25	17	profits	profit	NOUN
ejpam-7170	25	18	,	,	PUNCT
ejpam-7170	25	19	reduce	reduce	VERB
ejpam-7170	25	20	costs	cost	NOUN
ejpam-7170	25	21	,	,	PUNCT
ejpam-7170	25	22	improve	improve	VERB
ejpam-7170	25	23	efficiency	efficiency	NOUN
ejpam-7170	25	24	,	,	PUNCT
ejpam-7170	25	25	or	or	CCONJ
ejpam-7170	25	26	enhance	enhance	VERB
ejpam-7170	25	27	overall	overall	ADJ
ejpam-7170	25	28	quality	quality	NOUN
ejpam-7170	25	29	[	[	X
ejpam-7170	25	30	2	2	NUM
ejpam-7170	25	31	]	]	PUNCT
ejpam-7170	25	32	.	.	PUNCT
ejpam-7170	26	1	morap	morap	NOUN
ejpam-7170	26	2	is	be	AUX
ejpam-7170	26	3	highly	highly	ADV
ejpam-7170	26	4	relevant	relevant	ADJ
ejpam-7170	26	5	in	in	ADP
ejpam-7170	26	6	a	a	DET
ejpam-7170	26	7	wide	wide	ADJ
ejpam-7170	26	8	range	range	NOUN
ejpam-7170	26	9	of	of	ADP
ejpam-7170	26	10	practical	practical	ADJ
ejpam-7170	26	11	applications	application	NOUN
ejpam-7170	26	12	.	.	PUNCT
ejpam-7170	27	1	it	it	PRON
ejpam-7170	27	2	plays	play	VERB
ejpam-7170	27	3	a	a	DET
ejpam-7170	27	4	crucial	crucial	ADJ
ejpam-7170	27	5	role	role	NOUN
ejpam-7170	27	6	in	in	ADP
ejpam-7170	27	7	the	the	DET
ejpam-7170	27	8	distribution	distribution	NOUN
ejpam-7170	27	9	of	of	ADP
ejpam-7170	27	10	marketing	marketing	NOUN
ejpam-7170	27	11	resources	resource	NOUN
ejpam-7170	27	12	[	[	X
ejpam-7170	27	13	3	3	NUM
ejpam-7170	27	14	]	]	PUNCT
ejpam-7170	27	15	,	,	PUNCT
ejpam-7170	27	16	where	where	SCONJ
ejpam-7170	27	17	marketing	marketing	NOUN
ejpam-7170	27	18	managers	manager	NOUN
ejpam-7170	27	19	must	must	AUX
ejpam-7170	27	20	allocate	allocate	VERB
ejpam-7170	27	21	limited	limited	ADJ
ejpam-7170	27	22	resources	resource	NOUN
ejpam-7170	27	23	—	—	PUNCT
ejpam-7170	27	24	such	such	ADJ
ejpam-7170	27	25	as	as	ADP
ejpam-7170	27	26	advertising	advertising	NOUN
ejpam-7170	27	27	budgets	budget	NOUN
ejpam-7170	27	28	,	,	PUNCT
ejpam-7170	27	29	sales	sale	NOUN
ejpam-7170	27	30	teams	team	NOUN
ejpam-7170	27	31	,	,	PUNCT
ejpam-7170	27	32	store	store	NOUN
ejpam-7170	27	33	space	space	NOUN
ejpam-7170	27	34	,	,	PUNCT
ejpam-7170	27	35	and	and	CCONJ
ejpam-7170	27	36	product	product	NOUN
ejpam-7170	27	37	inventory	inventory	NOUN
ejpam-7170	27	38	—	—	PUNCT
ejpam-7170	27	39	across	across	ADP
ejpam-7170	27	40	different	different	ADJ
ejpam-7170	27	41	markets	market	NOUN
ejpam-7170	27	42	or	or	CCONJ
ejpam-7170	27	43	products	product	NOUN
ejpam-7170	27	44	.	.	PUNCT
ejpam-7170	28	1	in	in	ADP
ejpam-7170	28	2	network	network	NOUN
ejpam-7170	28	3	optimization	optimization	NOUN
ejpam-7170	28	4	[	[	X
ejpam-7170	28	5	4	4	NUM
ejpam-7170	28	6	]	]	PUNCT
ejpam-7170	28	7	,	,	PUNCT
ejpam-7170	28	8	morap	morap	NOUN
ejpam-7170	28	9	contributes	contribute	VERB
ejpam-7170	28	10	to	to	ADP
ejpam-7170	28	11	improving	improve	VERB
ejpam-7170	28	12	the	the	DET
ejpam-7170	28	13	performance	performance	NOUN
ejpam-7170	28	14	of	of	ADP
ejpam-7170	28	15	stochastic	stochastic	ADJ
ejpam-7170	28	16	network	network	NOUN
ejpam-7170	28	17	systems	system	NOUN
ejpam-7170	28	18	by	by	ADP
ejpam-7170	28	19	balancing	balance	VERB
ejpam-7170	28	20	activity	activity	NOUN
ejpam-7170	28	21	duration	duration	NOUN
ejpam-7170	28	22	and	and	CCONJ
ejpam-7170	28	23	resource	resource	NOUN
ejpam-7170	28	24	utilization	utilization	NOUN
ejpam-7170	28	25	.	.	PUNCT
ejpam-7170	29	1	it	it	PRON
ejpam-7170	29	2	is	be	AUX
ejpam-7170	29	3	also	also	ADV
ejpam-7170	29	4	applied	apply	VERB
ejpam-7170	29	5	in	in	ADP
ejpam-7170	29	6	workforce	workforce	NOUN
ejpam-7170	29	7	scheduling	scheduling	NOUN
ejpam-7170	29	8	within	within	ADP
ejpam-7170	29	9	manufacturing	manufacturing	NOUN
ejpam-7170	29	10	[	[	X
ejpam-7170	29	11	5	5	NUM
ejpam-7170	29	12	]	]	PUNCT
ejpam-7170	29	13	,	,	PUNCT
ejpam-7170	29	14	where	where	SCONJ
ejpam-7170	29	15	efficient	efficient	ADJ
ejpam-7170	29	16	allocation	allocation	NOUN
ejpam-7170	29	17	of	of	ADP
ejpam-7170	29	18	workers	worker	NOUN
ejpam-7170	29	19	helps	help	VERB
ejpam-7170	29	20	control	control	VERB
ejpam-7170	29	21	production	production	NOUN
ejpam-7170	29	22	workloads	workload	NOUN
ejpam-7170	29	23	,	,	PUNCT
ejpam-7170	29	24	reduce	reduce	VERB
ejpam-7170	29	25	labor	labor	NOUN
ejpam-7170	29	26	costs	cost	NOUN
ejpam-7170	29	27	,	,	PUNCT
ejpam-7170	29	28	prevent	prevent	VERB
ejpam-7170	29	29	overwork	overwork	NOUN
ejpam-7170	29	30	,	,	PUNCT
ejpam-7170	29	31	and	and	CCONJ
ejpam-7170	29	32	shorten	shorten	VERB
ejpam-7170	29	33	production	production	NOUN
ejpam-7170	29	34	cycles	cycle	NOUN
ejpam-7170	29	35	.	.	PUNCT
ejpam-7170	30	1	in	in	ADP
ejpam-7170	30	2	the	the	DET
ejpam-7170	30	3	field	field	NOUN
ejpam-7170	30	4	of	of	ADP
ejpam-7170	30	5	financial	financial	ADJ
ejpam-7170	30	6	program	program	NOUN
ejpam-7170	30	7	optimization	optimization	NOUN
ejpam-7170	30	8	[	[	X
ejpam-7170	30	9	6	6	NUM
ejpam-7170	30	10	]	]	PUNCT
ejpam-7170	30	11	,	,	PUNCT
ejpam-7170	30	12	morap	morap	NOUN
ejpam-7170	30	13	supports	support	VERB
ejpam-7170	30	14	the	the	DET
ejpam-7170	30	15	development	development	NOUN
ejpam-7170	30	16	of	of	ADP
ejpam-7170	30	17	investment	investment	NOUN
ejpam-7170	30	18	portfolios	portfolio	NOUN
ejpam-7170	30	19	by	by	ADP
ejpam-7170	30	20	allocating	allocate	VERB
ejpam-7170	30	21	capital	capital	NOUN
ejpam-7170	30	22	among	among	ADP
ejpam-7170	30	23	stocks	stock	NOUN
ejpam-7170	30	24	,	,	PUNCT
ejpam-7170	30	25	bonds	bond	NOUN
ejpam-7170	30	26	,	,	PUNCT
ejpam-7170	30	27	or	or	CCONJ
ejpam-7170	30	28	other	other	ADJ
ejpam-7170	30	29	assets	asset	NOUN
ejpam-7170	30	30	in	in	ADP
ejpam-7170	30	31	a	a	DET
ejpam-7170	30	32	way	way	NOUN
ejpam-7170	30	33	that	that	PRON
ejpam-7170	30	34	maximizes	maximize	VERB
ejpam-7170	30	35	returns	return	NOUN
ejpam-7170	30	36	while	while	SCONJ
ejpam-7170	30	37	minimizing	minimize	VERB
ejpam-7170	30	38	risk	risk	NOUN
ejpam-7170	30	39	.	.	PUNCT
ejpam-7170	31	1	furthermore	furthermore	ADV
ejpam-7170	31	2	,	,	PUNCT
ejpam-7170	31	3	it	it	PRON
ejpam-7170	31	4	has	have	VERB
ejpam-7170	31	5	significant	significant	ADJ
ejpam-7170	31	6	applications	application	NOUN
ejpam-7170	31	7	in	in	ADP
ejpam-7170	31	8	healthcare	healthcare	NOUN
ejpam-7170	31	9	resource	resource	NOUN
ejpam-7170	31	10	allocation	allocation	NOUN
ejpam-7170	31	11	[	[	X
ejpam-7170	31	12	7	7	NUM
ejpam-7170	31	13	]	]	PUNCT
ejpam-7170	31	14	,	,	PUNCT
ejpam-7170	31	15	ensuring	ensure	VERB
ejpam-7170	31	16	cost	cost	NOUN
ejpam-7170	31	17	-	-	PUNCT
ejpam-7170	31	18	effectiveness	effectiveness	NOUN
ejpam-7170	31	19	and	and	CCONJ
ejpam-7170	31	20	maximizing	maximize	VERB
ejpam-7170	31	21	benefits	benefit	NOUN
ejpam-7170	31	22	through	through	ADP
ejpam-7170	31	23	the	the	DET
ejpam-7170	31	24	effective	effective	ADJ
ejpam-7170	31	25	distribution	distribution	NOUN
ejpam-7170	31	26	of	of	ADP
ejpam-7170	31	27	staff	staff	NOUN
ejpam-7170	31	28	,	,	PUNCT
ejpam-7170	31	29	equipment	equipment	NOUN
ejpam-7170	31	30	,	,	PUNCT
ejpam-7170	31	31	and	and	CCONJ
ejpam-7170	31	32	funding	funding	NOUN
ejpam-7170	31	33	in	in	ADP
ejpam-7170	31	34	both	both	CCONJ
ejpam-7170	31	35	clinical	clinical	ADJ
ejpam-7170	31	36	and	and	CCONJ
ejpam-7170	31	37	public	public	ADJ
ejpam-7170	31	38	health	health	NOUN
ejpam-7170	31	39	settings	setting	NOUN
ejpam-7170	31	40	.	.	PUNCT
ejpam-7170	32	1	these	these	DET
ejpam-7170	32	2	examples	example	NOUN
ejpam-7170	32	3	highlight	highlight	VERB
ejpam-7170	32	4	that	that	DET
ejpam-7170	32	5	morap	morap	NOUN
ejpam-7170	32	6	is	be	AUX
ejpam-7170	32	7	not	not	PART
ejpam-7170	32	8	limited	limit	VERB
ejpam-7170	32	9	to	to	ADP
ejpam-7170	32	10	a	a	DET
ejpam-7170	32	11	single	single	ADJ
ejpam-7170	32	12	domain	domain	NOUN
ejpam-7170	32	13	but	but	CCONJ
ejpam-7170	32	14	can	can	AUX
ejpam-7170	32	15	be	be	AUX
ejpam-7170	32	16	applied	apply	VERB
ejpam-7170	32	17	to	to	ADP
ejpam-7170	32	18	an	an	DET
ejpam-7170	32	19	endless	endless	ADJ
ejpam-7170	32	20	variety	variety	NOUN
ejpam-7170	32	21	of	of	ADP
ejpam-7170	32	22	problems	problem	NOUN
ejpam-7170	32	23	across	across	ADP
ejpam-7170	32	24	industries	industry	NOUN
ejpam-7170	32	25	and	and	CCONJ
ejpam-7170	32	26	disciplines	discipline	NOUN
ejpam-7170	32	27	[	[	X
ejpam-7170	32	28	8	8	NUM
ejpam-7170	32	29	]	]	PUNCT
ejpam-7170	32	30	.	.	PUNCT
ejpam-7170	33	1	traditionally	traditionally	ADV
ejpam-7170	33	2	,	,	PUNCT
ejpam-7170	33	3	exact	exact	ADJ
ejpam-7170	33	4	optimization	optimization	NOUN
ejpam-7170	33	5	methods	method	NOUN
ejpam-7170	33	6	such	such	ADJ
ejpam-7170	33	7	as	as	ADP
ejpam-7170	33	8	integer	integer	NOUN
ejpam-7170	33	9	programming	programming	NOUN
ejpam-7170	33	10	(	(	PUNCT
ejpam-7170	33	11	ip	ip	NOUN
ejpam-7170	33	12	)	)	PUNCT
ejpam-7170	33	13	,	,	PUNCT
ejpam-7170	33	14	dynamic	dynamic	ADJ
ejpam-7170	33	15	programming	programming	NOUN
ejpam-7170	33	16	,	,	PUNCT
ejpam-7170	33	17	and	and	CCONJ
ejpam-7170	33	18	branch	branch	NOUN
ejpam-7170	33	19	-	-	PUNCT
ejpam-7170	33	20	and	and	CCONJ
ejpam-7170	33	21	-	-	PUNCT
ejpam-7170	33	22	bound	bind	VERB
ejpam-7170	33	23	have	have	AUX
ejpam-7170	33	24	been	be	AUX
ejpam-7170	33	25	applied	apply	VERB
ejpam-7170	33	26	to	to	PART
ejpam-7170	33	27	solve	solve	VERB
ejpam-7170	33	28	morap	morap	NOUN
ejpam-7170	34	1	[	[	X
ejpam-7170	34	2	9	9	NUM
ejpam-7170	34	3	]	]	PUNCT
ejpam-7170	34	4	.	.	PUNCT
ejpam-7170	35	1	while	while	SCONJ
ejpam-7170	35	2	these	these	DET
ejpam-7170	35	3	techniques	technique	NOUN
ejpam-7170	35	4	can	can	AUX
ejpam-7170	35	5	yield	yield	VERB
ejpam-7170	35	6	precise	precise	ADJ
ejpam-7170	35	7	solutions	solution	NOUN
ejpam-7170	35	8	,	,	PUNCT
ejpam-7170	35	9	they	they	PRON
ejpam-7170	35	10	are	be	AUX
ejpam-7170	35	11	computationally	computationally	ADV
ejpam-7170	35	12	expensive	expensive	ADJ
ejpam-7170	35	13	and	and	CCONJ
ejpam-7170	35	14	become	become	VERB
ejpam-7170	35	15	impractical	impractical	ADJ
ejpam-7170	35	16	for	for	ADP
ejpam-7170	35	17	large	large	ADJ
ejpam-7170	35	18	-	-	PUNCT
ejpam-7170	35	19	scale	scale	NOUN
ejpam-7170	35	20	,	,	PUNCT
ejpam-7170	35	21	real	real	ADJ
ejpam-7170	35	22	-	-	PUNCT
ejpam-7170	35	23	world	world	NOUN
ejpam-7170	35	24	problems	problem	NOUN
ejpam-7170	35	25	due	due	ADJ
ejpam-7170	35	26	to	to	ADP
ejpam-7170	35	27	the	the	DET
ejpam-7170	35	28	exponential	exponential	ADJ
ejpam-7170	35	29	growth	growth	NOUN
ejpam-7170	35	30	of	of	ADP
ejpam-7170	35	31	the	the	DET
ejpam-7170	35	32	solution	solution	NOUN
ejpam-7170	35	33	space	space	NOUN
ejpam-7170	35	34	[	[	X
ejpam-7170	35	35	10	10	NUM
ejpam-7170	35	36	]	]	PUNCT
ejpam-7170	35	37	.	.	PUNCT
ejpam-7170	36	1	to	to	PART
ejpam-7170	36	2	overcome	overcome	VERB
ejpam-7170	36	3	these	these	DET
ejpam-7170	36	4	challenges	challenge	NOUN
ejpam-7170	36	5	,	,	PUNCT
ejpam-7170	36	6	researchers	researcher	NOUN
ejpam-7170	36	7	have	have	AUX
ejpam-7170	36	8	increasingly	increasingly	ADV
ejpam-7170	36	9	adopted	adopt	VERB
ejpam-7170	36	10	evolutionary	evolutionary	ADJ
ejpam-7170	36	11	algorithms	algorithm	NOUN
ejpam-7170	36	12	(	(	PUNCT
ejpam-7170	36	13	eas	ea	NOUN
ejpam-7170	36	14	)	)	PUNCT
ejpam-7170	36	15	and	and	CCONJ
ejpam-7170	36	16	other	other	ADJ
ejpam-7170	36	17	metaheuristic	metaheuristic	ADJ
ejpam-7170	36	18	techniques	technique	NOUN
ejpam-7170	36	19	that	that	PRON
ejpam-7170	36	20	can	can	AUX
ejpam-7170	36	21	efficiently	efficiently	ADV
ejpam-7170	36	22	explore	explore	VERB
ejpam-7170	36	23	complex	complex	ADJ
ejpam-7170	36	24	search	search	NOUN
ejpam-7170	36	25	spaces	space	NOUN
ejpam-7170	36	26	and	and	CCONJ
ejpam-7170	36	27	provide	provide	VERB
ejpam-7170	36	28	near	near	ADP
ejpam-7170	36	29	-	-	PUNCT
ejpam-7170	36	30	optimal	optimal	ADJ
ejpam-7170	36	31	solutions	solution	NOUN
ejpam-7170	36	32	.	.	PUNCT
ejpam-7170	37	1	popular	popular	ADJ
ejpam-7170	37	2	approaches	approach	NOUN
ejpam-7170	37	3	include	include	VERB
ejpam-7170	37	4	genetic	genetic	ADJ
ejpam-7170	37	5	algorithms	algorithm	NOUN
ejpam-7170	37	6	(	(	PUNCT
ejpam-7170	37	7	gas	gas	NOUN
ejpam-7170	37	8	)	)	PUNCT
ejpam-7170	38	1	[	[	X
ejpam-7170	38	2	11	11	NUM
ejpam-7170	38	3	]	]	PUNCT
ejpam-7170	38	4	,	,	PUNCT
ejpam-7170	38	5	fuzzy	fuzzy	ADJ
ejpam-7170	38	6	multi	multi	ADJ
ejpam-7170	38	7	-	-	ADJ
ejpam-7170	38	8	objective	objective	ADJ
ejpam-7170	38	9	gas	gas	NOUN
ejpam-7170	39	1	[	[	X
ejpam-7170	39	2	12	12	NUM
ejpam-7170	39	3	]	]	PUNCT
ejpam-7170	39	4	,	,	PUNCT
ejpam-7170	39	5	monte	monte	PROPN
ejpam-7170	39	6	carlo	carlo	PROPN
ejpam-7170	39	7	tree	tree	NOUN
ejpam-7170	39	8	search	search	NOUN
ejpam-7170	39	9	(	(	PUNCT
ejpam-7170	39	10	mcts	mct	NOUN
ejpam-7170	39	11	)	)	PUNCT
ejpam-7170	40	1	[	[	X
ejpam-7170	40	2	13	13	NUM
ejpam-7170	40	3	]	]	PUNCT
ejpam-7170	40	4	,	,	PUNCT
ejpam-7170	40	5	ant	ant	ADJ
ejpam-7170	40	6	colony	colony	NOUN
ejpam-7170	40	7	optimization	optimization	NOUN
ejpam-7170	40	8	(	(	PUNCT
ejpam-7170	40	9	aco	aco	PROPN
ejpam-7170	40	10	)	)	PUNCT
ejpam-7170	41	1	[	[	X
ejpam-7170	41	2	14	14	NUM
ejpam-7170	41	3	]	]	X
ejpam-7170	41	4	,	,	PUNCT
ejpam-7170	41	5	variable	variable	ADJ
ejpam-7170	41	6	neighborhood	neighborhood	NOUN
ejpam-7170	41	7	search	search	NOUN
ejpam-7170	41	8	[	[	X
ejpam-7170	41	9	15	15	NUM
ejpam-7170	41	10	]	]	X
ejpam-7170	41	11	,	,	PUNCT
ejpam-7170	41	12	memetic	memetic	ADJ
ejpam-7170	41	13	algorithms	algorithm	NOUN
ejpam-7170	41	14	based	base	VERB
ejpam-7170	41	15	on	on	ADP
ejpam-7170	41	16	node	node	NOUN
ejpam-7170	41	17	-	-	PUNCT
ejpam-7170	41	18	weighted	weight	VERB
ejpam-7170	41	19	graphs	graph	NOUN
ejpam-7170	41	20	[	[	X
ejpam-7170	41	21	16	16	NUM
ejpam-7170	41	22	]	]	PUNCT
ejpam-7170	41	23	,	,	PUNCT
ejpam-7170	41	24	and	and	CCONJ
ejpam-7170	41	25	particle	particle	NOUN
ejpam-7170	41	26	swarm	swarm	NOUN
ejpam-7170	41	27	optimization	optimization	NOUN
ejpam-7170	41	28	(	(	PUNCT
ejpam-7170	41	29	pso	pso	NOUN
ejpam-7170	41	30	)	)	PUNCT
ejpam-7170	41	31	m.a	m.a	PROPN
ejpam-7170	41	32	.	.	PROPN
ejpam-7170	41	33	el	el	PROPN
ejpam-7170	41	34	-	-	PROPN
ejpam-7170	41	35	shorbagy	shorbagy	PROPN
ejpam-7170	41	36	et	et	PROPN
ejpam-7170	41	37	al	al	PROPN
ejpam-7170	41	38	.	.	PUNCT
ejpam-7170	41	39	/	/	SYM
ejpam-7170	41	40	eur	eur	PROPN
ejpam-7170	41	41	.	.	PUNCT
ejpam-7170	42	1	j.	j.	PROPN
ejpam-7170	42	2	pure	pure	PROPN
ejpam-7170	42	3	appl	appl	PROPN
ejpam-7170	42	4	.	.	PROPN
ejpam-7170	42	5	math	math	PROPN
ejpam-7170	42	6	,	,	PUNCT
ejpam-7170	42	7	18	18	NUM
ejpam-7170	42	8	(	(	PUNCT
ejpam-7170	42	9	4	4	NUM
ejpam-7170	42	10	)	)	PUNCT
ejpam-7170	42	11	(	(	PUNCT
ejpam-7170	42	12	2025	2025	NUM
ejpam-7170	42	13	)	)	PUNCT
ejpam-7170	42	14	,	,	PUNCT
ejpam-7170	42	15	7170	7170	NUM
ejpam-7170	42	16	3	3	NUM
ejpam-7170	42	17	of	of	ADP
ejpam-7170	42	18	21	21	NUM
ejpam-7170	42	19	[	[	X
ejpam-7170	42	20	17	17	NUM
ejpam-7170	42	21	]	]	PUNCT
ejpam-7170	42	22	.	.	PUNCT
ejpam-7170	43	1	among	among	ADP
ejpam-7170	43	2	these	these	DET
ejpam-7170	43	3	approaches	approach	NOUN
ejpam-7170	43	4	,	,	PUNCT
ejpam-7170	43	5	genetic	genetic	ADJ
ejpam-7170	43	6	algorithms	algorithm	NOUN
ejpam-7170	43	7	(	(	PUNCT
ejpam-7170	43	8	gas	gas	NOUN
ejpam-7170	43	9	)	)	PUNCT
ejpam-7170	43	10	stand	stand	VERB
ejpam-7170	43	11	out	out	ADP
ejpam-7170	43	12	due	due	ADP
ejpam-7170	43	13	to	to	ADP
ejpam-7170	43	14	their	their	PRON
ejpam-7170	43	15	robustness	robustness	NOUN
ejpam-7170	43	16	,	,	PUNCT
ejpam-7170	43	17	adaptability	adaptability	NOUN
ejpam-7170	43	18	,	,	PUNCT
ejpam-7170	43	19	and	and	CCONJ
ejpam-7170	43	20	global	global	ADJ
ejpam-7170	43	21	search	search	NOUN
ejpam-7170	43	22	capabilities	capability	NOUN
ejpam-7170	43	23	.	.	PUNCT
ejpam-7170	44	1	originating	originate	VERB
ejpam-7170	44	2	from	from	ADP
ejpam-7170	44	3	principles	principle	NOUN
ejpam-7170	44	4	of	of	ADP
ejpam-7170	44	5	natural	natural	ADJ
ejpam-7170	44	6	selection	selection	NOUN
ejpam-7170	44	7	,	,	PUNCT
ejpam-7170	44	8	genetics	genetic	NOUN
ejpam-7170	44	9	,	,	PUNCT
ejpam-7170	44	10	and	and	CCONJ
ejpam-7170	44	11	evolution	evolution	NOUN
ejpam-7170	44	12	,	,	PUNCT
ejpam-7170	44	13	the	the	DET
ejpam-7170	44	14	ga	ga	PROPN
ejpam-7170	44	15	was	be	AUX
ejpam-7170	44	16	first	first	ADV
ejpam-7170	44	17	introduced	introduce	VERB
ejpam-7170	44	18	in	in	ADP
ejpam-7170	44	19	1975	1975	NUM
ejpam-7170	44	20	[	[	X
ejpam-7170	44	21	18	18	NUM
ejpam-7170	44	22	]	]	PUNCT
ejpam-7170	44	23	and	and	CCONJ
ejpam-7170	44	24	later	later	ADV
ejpam-7170	44	25	formalized	formalize	VERB
ejpam-7170	44	26	in	in	ADP
ejpam-7170	44	27	1989	1989	NUM
ejpam-7170	44	28	[	[	X
ejpam-7170	44	29	19	19	NUM
ejpam-7170	44	30	]	]	PUNCT
ejpam-7170	44	31	as	as	ADP
ejpam-7170	44	32	a	a	DET
ejpam-7170	44	33	powerful	powerful	ADJ
ejpam-7170	44	34	method	method	NOUN
ejpam-7170	44	35	for	for	ADP
ejpam-7170	44	36	addressing	address	VERB
ejpam-7170	44	37	large	large	ADJ
ejpam-7170	44	38	-	-	PUNCT
ejpam-7170	44	39	scale	scale	NOUN
ejpam-7170	44	40	optimization	optimization	NOUN
ejpam-7170	44	41	problems	problem	NOUN
ejpam-7170	44	42	.	.	PUNCT
ejpam-7170	45	1	since	since	SCONJ
ejpam-7170	45	2	then	then	ADV
ejpam-7170	45	3	,	,	PUNCT
ejpam-7170	45	4	gas	gas	NOUN
ejpam-7170	45	5	have	have	AUX
ejpam-7170	45	6	gained	gain	VERB
ejpam-7170	45	7	significant	significant	ADJ
ejpam-7170	45	8	attention	attention	NOUN
ejpam-7170	45	9	in	in	ADP
ejpam-7170	45	10	the	the	DET
ejpam-7170	45	11	academic	academic	ADJ
ejpam-7170	45	12	community	community	NOUN
ejpam-7170	45	13	and	and	CCONJ
ejpam-7170	45	14	have	have	AUX
ejpam-7170	45	15	been	be	AUX
ejpam-7170	45	16	widely	widely	ADV
ejpam-7170	45	17	applied	apply	VERB
ejpam-7170	45	18	to	to	ADP
ejpam-7170	45	19	multi	multi	ADJ
ejpam-7170	45	20	-	-	ADJ
ejpam-7170	45	21	objective	objective	ADJ
ejpam-7170	45	22	optimization	optimization	NOUN
ejpam-7170	45	23	.	.	PUNCT
ejpam-7170	46	1	research	research	NOUN
ejpam-7170	46	2	consistently	consistently	ADV
ejpam-7170	46	3	shows	show	VERB
ejpam-7170	46	4	that	that	SCONJ
ejpam-7170	46	5	gas	gas	NOUN
ejpam-7170	46	6	are	be	AUX
ejpam-7170	46	7	particularly	particularly	ADV
ejpam-7170	46	8	effective	effective	ADJ
ejpam-7170	46	9	in	in	ADP
ejpam-7170	46	10	solving	solve	VERB
ejpam-7170	46	11	morap	morap	NOUN
ejpam-7170	46	12	,	,	PUNCT
ejpam-7170	46	13	as	as	SCONJ
ejpam-7170	46	14	they	they	PRON
ejpam-7170	46	15	are	be	AUX
ejpam-7170	46	16	capable	capable	ADJ
ejpam-7170	46	17	of	of	ADP
ejpam-7170	46	18	producing	produce	VERB
ejpam-7170	46	19	diverse	diverse	ADJ
ejpam-7170	46	20	sets	set	NOUN
ejpam-7170	46	21	of	of	ADP
ejpam-7170	46	22	pareto	pareto	VERB
ejpam-7170	46	23	-	-	PUNCT
ejpam-7170	46	24	optimal	optimal	ADJ
ejpam-7170	46	25	solutions	solution	NOUN
ejpam-7170	46	26	,	,	PUNCT
ejpam-7170	46	27	thereby	thereby	ADV
ejpam-7170	46	28	offering	offer	VERB
ejpam-7170	46	29	decision	decision	NOUN
ejpam-7170	46	30	-	-	PUNCT
ejpam-7170	46	31	makers	maker	NOUN
ejpam-7170	46	32	flexibility	flexibility	NOUN
ejpam-7170	46	33	in	in	ADP
ejpam-7170	46	34	balancing	balance	VERB
ejpam-7170	46	35	multiple	multiple	ADJ
ejpam-7170	46	36	conflicting	conflicting	ADJ
ejpam-7170	46	37	objectives	objective	NOUN
ejpam-7170	46	38	.	.	PUNCT
ejpam-7170	47	1	this	this	DET
ejpam-7170	47	2	paper	paper	NOUN
ejpam-7170	47	3	introduces	introduce	VERB
ejpam-7170	47	4	a	a	DET
ejpam-7170	47	5	genetic	genetic	ADJ
ejpam-7170	47	6	algorithm	algorithm	NOUN
ejpam-7170	47	7	with	with	ADP
ejpam-7170	47	8	hybrid	hybrid	ADJ
ejpam-7170	47	9	mutation	mutation	NOUN
ejpam-7170	47	10	(	(	PUNCT
ejpam-7170	47	11	ga	ga	NOUN
ejpam-7170	47	12	-	-	PUNCT
ejpam-7170	47	13	hm	hm	NOUN
ejpam-7170	47	14	)	)	PUNCT
ejpam-7170	47	15	as	as	ADP
ejpam-7170	47	16	a	a	DET
ejpam-7170	47	17	novel	novel	ADJ
ejpam-7170	47	18	approach	approach	NOUN
ejpam-7170	47	19	for	for	ADP
ejpam-7170	47	20	addressing	address	VERB
ejpam-7170	47	21	the	the	DET
ejpam-7170	47	22	multi	multi	ADJ
ejpam-7170	47	23	-	-	ADJ
ejpam-7170	47	24	objective	objective	ADJ
ejpam-7170	47	25	resource	resource	NOUN
ejpam-7170	47	26	allocation	allocation	NOUN
ejpam-7170	47	27	problems	problem	NOUN
ejpam-7170	47	28	(	(	PUNCT
ejpam-7170	47	29	moraps	morap	NOUN
ejpam-7170	47	30	)	)	PUNCT
ejpam-7170	47	31	.	.	PUNCT
ejpam-7170	48	1	the	the	DET
ejpam-7170	48	2	distinguishing	distinguish	VERB
ejpam-7170	48	3	feature	feature	NOUN
ejpam-7170	48	4	of	of	ADP
ejpam-7170	48	5	ga	ga	PROPN
ejpam-7170	48	6	-	-	PUNCT
ejpam-7170	48	7	hm	hm	PROPN
ejpam-7170	48	8	lies	lie	VERB
ejpam-7170	48	9	in	in	ADP
ejpam-7170	48	10	its	its	PRON
ejpam-7170	48	11	hybrid	hybrid	ADJ
ejpam-7170	48	12	mutation	mutation	NOUN
ejpam-7170	48	13	stage	stage	NOUN
ejpam-7170	48	14	,	,	PUNCT
ejpam-7170	48	15	which	which	PRON
ejpam-7170	48	16	integrates	integrate	VERB
ejpam-7170	48	17	multiple	multiple	ADJ
ejpam-7170	48	18	mutation	mutation	NOUN
ejpam-7170	48	19	strategies	strategy	NOUN
ejpam-7170	48	20	to	to	PART
ejpam-7170	48	21	preserve	preserve	VERB
ejpam-7170	48	22	and	and	CCONJ
ejpam-7170	48	23	introduce	introduce	VERB
ejpam-7170	48	24	diversity	diversity	NOUN
ejpam-7170	48	25	into	into	ADP
ejpam-7170	48	26	the	the	DET
ejpam-7170	48	27	evolving	evolve	VERB
ejpam-7170	48	28	population	population	NOUN
ejpam-7170	48	29	.	.	PUNCT
ejpam-7170	49	1	by	by	ADP
ejpam-7170	49	2	maintaining	maintain	VERB
ejpam-7170	49	3	genetic	genetic	ADJ
ejpam-7170	49	4	variation	variation	NOUN
ejpam-7170	49	5	,	,	PUNCT
ejpam-7170	49	6	ga	ga	PROPN
ejpam-7170	49	7	-	-	PUNCT
ejpam-7170	49	8	hm	hm	PROPN
ejpam-7170	49	9	prevents	prevent	VERB
ejpam-7170	49	10	the	the	DET
ejpam-7170	49	11	population	population	NOUN
ejpam-7170	49	12	from	from	ADP
ejpam-7170	49	13	becoming	become	VERB
ejpam-7170	49	14	too	too	ADV
ejpam-7170	49	15	homogeneous	homogeneous	ADJ
ejpam-7170	49	16	,	,	PUNCT
ejpam-7170	49	17	thereby	thereby	ADV
ejpam-7170	49	18	reducing	reduce	VERB
ejpam-7170	49	19	the	the	DET
ejpam-7170	49	20	likelihood	likelihood	NOUN
ejpam-7170	49	21	of	of	ADP
ejpam-7170	49	22	premature	premature	ADJ
ejpam-7170	49	23	convergence	convergence	NOUN
ejpam-7170	49	24	and	and	CCONJ
ejpam-7170	49	25	enabling	enable	VERB
ejpam-7170	49	26	the	the	DET
ejpam-7170	49	27	algorithm	algorithm	NOUN
ejpam-7170	49	28	to	to	PART
ejpam-7170	49	29	continue	continue	VERB
ejpam-7170	49	30	exploring	explore	VERB
ejpam-7170	49	31	new	new	ADJ
ejpam-7170	49	32	areas	area	NOUN
ejpam-7170	49	33	of	of	ADP
ejpam-7170	49	34	the	the	DET
ejpam-7170	49	35	solution	solution	NOUN
ejpam-7170	49	36	space	space	NOUN
ejpam-7170	49	37	.	.	PUNCT
ejpam-7170	50	1	this	this	DET
ejpam-7170	50	2	mechanism	mechanism	NOUN
ejpam-7170	50	3	is	be	AUX
ejpam-7170	50	4	particularly	particularly	ADV
ejpam-7170	50	5	important	important	ADJ
ejpam-7170	50	6	for	for	ADP
ejpam-7170	50	7	avoiding	avoid	VERB
ejpam-7170	50	8	entrapment	entrapment	NOUN
ejpam-7170	50	9	in	in	ADP
ejpam-7170	50	10	local	local	ADJ
ejpam-7170	50	11	minima	minima	NOUN
ejpam-7170	50	12	,	,	PUNCT
ejpam-7170	50	13	which	which	PRON
ejpam-7170	50	14	can	can	AUX
ejpam-7170	50	15	otherwise	otherwise	ADV
ejpam-7170	50	16	halt	halt	VERB
ejpam-7170	50	17	or	or	CCONJ
ejpam-7170	50	18	significantly	significantly	ADV
ejpam-7170	50	19	slow	slow	VERB
ejpam-7170	50	20	the	the	DET
ejpam-7170	50	21	evolutionary	evolutionary	ADJ
ejpam-7170	50	22	process	process	NOUN
ejpam-7170	50	23	.	.	PUNCT
ejpam-7170	51	1	the	the	DET
ejpam-7170	51	2	performance	performance	NOUN
ejpam-7170	51	3	of	of	ADP
ejpam-7170	51	4	ga	ga	PROPN
ejpam-7170	51	5	-	-	PUNCT
ejpam-7170	51	6	hm	hm	PROPN
ejpam-7170	51	7	was	be	AUX
ejpam-7170	51	8	validated	validate	VERB
ejpam-7170	51	9	through	through	ADP
ejpam-7170	51	10	simulation	simulation	NOUN
ejpam-7170	51	11	experiments	experiment	NOUN
ejpam-7170	51	12	on	on	ADP
ejpam-7170	51	13	multiple	multiple	ADJ
ejpam-7170	51	14	benchmark	benchmark	NOUN
ejpam-7170	51	15	test	test	NOUN
ejpam-7170	51	16	problems	problem	NOUN
ejpam-7170	51	17	drawn	draw	VERB
ejpam-7170	51	18	from	from	ADP
ejpam-7170	51	19	the	the	DET
ejpam-7170	51	20	literature	literature	NOUN
ejpam-7170	51	21	.	.	PUNCT
ejpam-7170	52	1	the	the	DET
ejpam-7170	52	2	results	result	NOUN
ejpam-7170	52	3	consistently	consistently	ADV
ejpam-7170	52	4	demonstrate	demonstrate	VERB
ejpam-7170	52	5	that	that	SCONJ
ejpam-7170	52	6	ga	ga	PROPN
ejpam-7170	52	7	-	-	PUNCT
ejpam-7170	52	8	hm	hm	PROPN
ejpam-7170	52	9	achieves	achieve	VERB
ejpam-7170	52	10	superior	superior	ADJ
ejpam-7170	52	11	outcomes	outcome	NOUN
ejpam-7170	52	12	compared	compare	VERB
ejpam-7170	52	13	to	to	ADP
ejpam-7170	52	14	existing	exist	VERB
ejpam-7170	52	15	methods	method	NOUN
ejpam-7170	52	16	,	,	PUNCT
ejpam-7170	52	17	highlighting	highlight	VERB
ejpam-7170	52	18	its	its	PRON
ejpam-7170	52	19	effectiveness	effectiveness	NOUN
ejpam-7170	52	20	and	and	CCONJ
ejpam-7170	52	21	robustness	robustness	NOUN
ejpam-7170	52	22	in	in	ADP
ejpam-7170	52	23	solving	solve	VERB
ejpam-7170	52	24	morap	morap	NOUN
ejpam-7170	52	25	.	.	PUNCT
ejpam-7170	53	1	the	the	DET
ejpam-7170	53	2	hybrid	hybrid	ADJ
ejpam-7170	53	3	mutation	mutation	NOUN
ejpam-7170	53	4	mechanism	mechanism	NOUN
ejpam-7170	53	5	not	not	PART
ejpam-7170	53	6	only	only	ADV
ejpam-7170	53	7	enhances	enhance	VERB
ejpam-7170	53	8	the	the	DET
ejpam-7170	53	9	algorithm	algorithm	NOUN
ejpam-7170	53	10	’s	’s	PART
ejpam-7170	53	11	search	search	NOUN
ejpam-7170	53	12	capability	capability	NOUN
ejpam-7170	53	13	but	but	CCONJ
ejpam-7170	53	14	also	also	ADV
ejpam-7170	53	15	ensures	ensure	VERB
ejpam-7170	53	16	a	a	DET
ejpam-7170	53	17	more	more	ADV
ejpam-7170	53	18	balanced	balanced	ADJ
ejpam-7170	53	19	exploration	exploration	NOUN
ejpam-7170	53	20	–	–	PUNCT
ejpam-7170	53	21	exploitation	exploitation	NOUN
ejpam-7170	53	22	trade	trade	NOUN
ejpam-7170	53	23	-	-	PUNCT
ejpam-7170	53	24	off	off	NOUN
ejpam-7170	53	25	,	,	PUNCT
ejpam-7170	53	26	which	which	PRON
ejpam-7170	53	27	is	be	AUX
ejpam-7170	53	28	critical	critical	ADJ
ejpam-7170	53	29	in	in	ADP
ejpam-7170	53	30	multi	multi	ADJ
ejpam-7170	53	31	-	-	ADJ
ejpam-7170	53	32	objective	objective	ADJ
ejpam-7170	53	33	optimization	optimization	NOUN
ejpam-7170	53	34	.	.	PUNCT
ejpam-7170	54	1	a	a	DET
ejpam-7170	54	2	key	key	ADJ
ejpam-7170	54	3	challenge	challenge	NOUN
ejpam-7170	54	4	in	in	ADP
ejpam-7170	54	5	morap	morap	NOUN
ejpam-7170	54	6	,	,	PUNCT
ejpam-7170	54	7	as	as	ADP
ejpam-7170	54	8	with	with	ADP
ejpam-7170	54	9	many	many	ADJ
ejpam-7170	54	10	real	real	ADJ
ejpam-7170	54	11	-	-	PUNCT
ejpam-7170	54	12	world	world	NOUN
ejpam-7170	54	13	optimization	optimization	NOUN
ejpam-7170	54	14	tasks	task	NOUN
ejpam-7170	54	15	,	,	PUNCT
ejpam-7170	54	16	is	be	AUX
ejpam-7170	54	17	that	that	SCONJ
ejpam-7170	54	18	objectives	objective	NOUN
ejpam-7170	54	19	are	be	AUX
ejpam-7170	54	20	frequently	frequently	ADV
ejpam-7170	54	21	conflicting	conflicting	ADJ
ejpam-7170	54	22	.	.	PUNCT
ejpam-7170	55	1	for	for	ADP
ejpam-7170	55	2	instance	instance	NOUN
ejpam-7170	55	3	,	,	PUNCT
ejpam-7170	55	4	minimizing	minimize	VERB
ejpam-7170	55	5	cost	cost	NOUN
ejpam-7170	55	6	often	often	ADV
ejpam-7170	55	7	comes	come	VERB
ejpam-7170	55	8	at	at	ADP
ejpam-7170	55	9	the	the	DET
ejpam-7170	55	10	expense	expense	NOUN
ejpam-7170	55	11	of	of	ADP
ejpam-7170	55	12	efficiency	efficiency	NOUN
ejpam-7170	55	13	or	or	CCONJ
ejpam-7170	55	14	quality	quality	NOUN
ejpam-7170	55	15	,	,	PUNCT
ejpam-7170	55	16	and	and	CCONJ
ejpam-7170	55	17	maximizing	maximize	VERB
ejpam-7170	55	18	one	one	NUM
ejpam-7170	55	19	performance	performance	NOUN
ejpam-7170	55	20	metric	metric	NOUN
ejpam-7170	55	21	may	may	AUX
ejpam-7170	55	22	require	require	VERB
ejpam-7170	55	23	compromising	compromise	VERB
ejpam-7170	55	24	another	another	PRON
ejpam-7170	55	25	.	.	PUNCT
ejpam-7170	56	1	as	as	ADP
ejpam-7170	56	2	a	a	DET
ejpam-7170	56	3	result	result	NOUN
ejpam-7170	56	4	,	,	PUNCT
ejpam-7170	56	5	such	such	ADJ
ejpam-7170	56	6	problems	problem	NOUN
ejpam-7170	56	7	rarely	rarely	ADV
ejpam-7170	56	8	yield	yield	VERB
ejpam-7170	56	9	a	a	DET
ejpam-7170	56	10	single	single	ADJ
ejpam-7170	56	11	globally	globally	ADV
ejpam-7170	56	12	optimal	optimal	ADJ
ejpam-7170	56	13	solution	solution	NOUN
ejpam-7170	56	14	.	.	PUNCT
ejpam-7170	57	1	instead	instead	ADV
ejpam-7170	57	2	,	,	PUNCT
ejpam-7170	57	3	the	the	DET
ejpam-7170	57	4	outcome	outcome	NOUN
ejpam-7170	57	5	is	be	AUX
ejpam-7170	57	6	typically	typically	ADV
ejpam-7170	57	7	a	a	DET
ejpam-7170	57	8	set	set	NOUN
ejpam-7170	57	9	of	of	ADP
ejpam-7170	57	10	trade	trade	NOUN
ejpam-7170	57	11	-	-	PUNCT
ejpam-7170	57	12	off	off	ADP
ejpam-7170	57	13	solutions	solution	NOUN
ejpam-7170	57	14	that	that	PRON
ejpam-7170	57	15	represent	represent	VERB
ejpam-7170	57	16	different	different	ADJ
ejpam-7170	57	17	balances	balance	NOUN
ejpam-7170	57	18	among	among	ADP
ejpam-7170	57	19	objectives	objective	NOUN
ejpam-7170	57	20	.	.	PUNCT
ejpam-7170	58	1	these	these	DET
ejpam-7170	58	2	solutions	solution	NOUN
ejpam-7170	58	3	are	be	AUX
ejpam-7170	58	4	referred	refer	VERB
ejpam-7170	58	5	to	to	ADP
ejpam-7170	58	6	as	as	ADP
ejpam-7170	58	7	non	non	ADJ
ejpam-7170	58	8	-	-	ADJ
ejpam-7170	58	9	dominated	dominated	ADJ
ejpam-7170	58	10	solutions	solution	NOUN
ejpam-7170	58	11	or	or	CCONJ
ejpam-7170	58	12	pareto	pareto	VERB
ejpam-7170	58	13	-	-	PUNCT
ejpam-7170	58	14	optimal	optimal	ADJ
ejpam-7170	58	15	solutions	solution	NOUN
ejpam-7170	58	16	[	[	X
ejpam-7170	58	17	20	20	NUM
ejpam-7170	58	18	]	]	PUNCT
ejpam-7170	58	19	.	.	PUNCT
ejpam-7170	59	1	a	a	DET
ejpam-7170	59	2	solution	solution	NOUN
ejpam-7170	59	3	is	be	AUX
ejpam-7170	59	4	considered	consider	VERB
ejpam-7170	59	5	pareto	pareto	ADJ
ejpam-7170	59	6	-	-	PUNCT
ejpam-7170	59	7	optimal	optimal	ADJ
ejpam-7170	59	8	if	if	SCONJ
ejpam-7170	59	9	no	no	DET
ejpam-7170	59	10	other	other	ADJ
ejpam-7170	59	11	solution	solution	NOUN
ejpam-7170	59	12	exists	exist	VERB
ejpam-7170	59	13	that	that	PRON
ejpam-7170	59	14	can	can	AUX
ejpam-7170	59	15	improve	improve	VERB
ejpam-7170	59	16	one	one	NUM
ejpam-7170	59	17	objective	objective	NOUN
ejpam-7170	59	18	without	without	ADP
ejpam-7170	59	19	worsening	worsen	VERB
ejpam-7170	59	20	at	at	ADV
ejpam-7170	59	21	least	least	ADJ
ejpam-7170	59	22	one	one	NUM
ejpam-7170	59	23	of	of	ADP
ejpam-7170	59	24	the	the	DET
ejpam-7170	59	25	others	other	NOUN
ejpam-7170	59	26	.	.	PUNCT
ejpam-7170	60	1	collectively	collectively	ADV
ejpam-7170	60	2	,	,	PUNCT
ejpam-7170	60	3	these	these	DET
ejpam-7170	60	4	solutions	solution	NOUN
ejpam-7170	60	5	form	form	VERB
ejpam-7170	60	6	the	the	DET
ejpam-7170	60	7	pareto	pareto	ADJ
ejpam-7170	60	8	front	front	NOUN
ejpam-7170	60	9	,	,	PUNCT
ejpam-7170	60	10	which	which	PRON
ejpam-7170	60	11	provides	provide	VERB
ejpam-7170	60	12	decision	decision	NOUN
ejpam-7170	60	13	-	-	PUNCT
ejpam-7170	60	14	makers	maker	NOUN
ejpam-7170	60	15	with	with	ADP
ejpam-7170	60	16	a	a	DET
ejpam-7170	60	17	diverse	diverse	ADJ
ejpam-7170	60	18	range	range	NOUN
ejpam-7170	60	19	of	of	ADP
ejpam-7170	60	20	alternatives	alternative	NOUN
ejpam-7170	60	21	to	to	PART
ejpam-7170	60	22	choose	choose	VERB
ejpam-7170	60	23	from	from	ADP
ejpam-7170	60	24	,	,	PUNCT
ejpam-7170	60	25	depending	depend	VERB
ejpam-7170	60	26	on	on	ADP
ejpam-7170	60	27	their	their	PRON
ejpam-7170	60	28	priorities	priority	NOUN
ejpam-7170	60	29	and	and	CCONJ
ejpam-7170	60	30	constraints	constraint	NOUN
ejpam-7170	60	31	.	.	PUNCT
ejpam-7170	61	1	the	the	DET
ejpam-7170	61	2	strength	strength	NOUN
ejpam-7170	61	3	of	of	ADP
ejpam-7170	61	4	ga	ga	PROPN
ejpam-7170	61	5	-	-	PUNCT
ejpam-7170	61	6	hm	hm	PROPN
ejpam-7170	61	7	lies	lie	VERB
ejpam-7170	61	8	in	in	ADP
ejpam-7170	61	9	its	its	PRON
ejpam-7170	61	10	ability	ability	NOUN
ejpam-7170	61	11	to	to	PART
ejpam-7170	61	12	approximate	approximate	VERB
ejpam-7170	61	13	this	this	DET
ejpam-7170	61	14	pareto	pareto	ADJ
ejpam-7170	61	15	front	front	NOUN
ejpam-7170	61	16	effectively	effectively	ADV
ejpam-7170	61	17	,	,	PUNCT
ejpam-7170	61	18	generating	generate	VERB
ejpam-7170	61	19	a	a	DET
ejpam-7170	61	20	well	well	ADV
ejpam-7170	61	21	-	-	PUNCT
ejpam-7170	61	22	distributed	distribute	VERB
ejpam-7170	61	23	set	set	NOUN
ejpam-7170	61	24	of	of	ADP
ejpam-7170	61	25	high	high	ADJ
ejpam-7170	61	26	-	-	PUNCT
ejpam-7170	61	27	quality	quality	NOUN
ejpam-7170	61	28	solutions	solution	NOUN
ejpam-7170	61	29	.	.	PUNCT
ejpam-7170	62	1	this	this	PRON
ejpam-7170	62	2	ensures	ensure	VERB
ejpam-7170	62	3	that	that	SCONJ
ejpam-7170	62	4	stakeholders	stakeholder	NOUN
ejpam-7170	62	5	are	be	AUX
ejpam-7170	62	6	equipped	equip	VERB
ejpam-7170	62	7	with	with	ADP
ejpam-7170	62	8	a	a	DET
ejpam-7170	62	9	flexible	flexible	ADJ
ejpam-7170	62	10	decision	decision	NOUN
ejpam-7170	62	11	-	-	PUNCT
ejpam-7170	62	12	support	support	NOUN
ejpam-7170	62	13	tool	tool	NOUN
ejpam-7170	62	14	that	that	PRON
ejpam-7170	62	15	allows	allow	VERB
ejpam-7170	62	16	for	for	ADP
ejpam-7170	62	17	informed	informed	ADJ
ejpam-7170	62	18	trade	trade	NOUN
ejpam-7170	62	19	-	-	PUNCT
ejpam-7170	62	20	offs	off	NOUN
ejpam-7170	62	21	across	across	ADP
ejpam-7170	62	22	multiple	multiple	ADJ
ejpam-7170	62	23	objectives	objective	NOUN
ejpam-7170	62	24	.	.	PUNCT
ejpam-7170	63	1	the	the	DET
ejpam-7170	63	2	remainder	remainder	NOUN
ejpam-7170	63	3	of	of	ADP
ejpam-7170	63	4	this	this	DET
ejpam-7170	63	5	article	article	NOUN
ejpam-7170	63	6	is	be	AUX
ejpam-7170	63	7	structured	structure	VERB
ejpam-7170	63	8	as	as	SCONJ
ejpam-7170	63	9	follows	follow	VERB
ejpam-7170	63	10	.	.	PUNCT
ejpam-7170	64	1	section	section	NOUN
ejpam-7170	64	2	2	2	NUM
ejpam-7170	64	3	provides	provide	VERB
ejpam-7170	64	4	the	the	DET
ejpam-7170	64	5	theoretical	theoretical	ADJ
ejpam-7170	64	6	foundation	foundation	NOUN
ejpam-7170	64	7	of	of	ADP
ejpam-7170	64	8	the	the	DET
ejpam-7170	64	9	multi	multi	ADJ
ejpam-7170	64	10	-	-	ADJ
ejpam-7170	64	11	objective	objective	ADJ
ejpam-7170	64	12	resource	resource	NOUN
ejpam-7170	64	13	allocation	allocation	NOUN
ejpam-7170	64	14	problem	problem	NOUN
ejpam-7170	64	15	(	(	PUNCT
ejpam-7170	64	16	morap	morap	NOUN
ejpam-7170	64	17	)	)	PUNCT
ejpam-7170	64	18	,	,	PUNCT
ejpam-7170	64	19	including	include	VERB
ejpam-7170	64	20	its	its	PRON
ejpam-7170	64	21	formal	formal	ADJ
ejpam-7170	64	22	definition	definition	NOUN
ejpam-7170	64	23	,	,	PUNCT
ejpam-7170	64	24	applications	application	NOUN
ejpam-7170	64	25	,	,	PUNCT
ejpam-7170	64	26	and	and	CCONJ
ejpam-7170	64	27	the	the	DET
ejpam-7170	64	28	challenges	challenge	NOUN
ejpam-7170	64	29	associated	associate	VERB
ejpam-7170	64	30	with	with	ADP
ejpam-7170	64	31	solving	solve	VERB
ejpam-7170	64	32	it	it	PRON
ejpam-7170	64	33	.	.	PUNCT
ejpam-7170	65	1	section	section	NOUN
ejpam-7170	65	2	3	3	NUM
ejpam-7170	65	3	presents	present	VERB
ejpam-7170	65	4	an	an	DET
ejpam-7170	65	5	overview	overview	NOUN
ejpam-7170	65	6	of	of	ADP
ejpam-7170	65	7	the	the	DET
ejpam-7170	65	8	genetic	genetic	ADJ
ejpam-7170	65	9	algorithm	algorithm	NOUN
ejpam-7170	65	10	(	(	PUNCT
ejpam-7170	65	11	ga	ga	PROPN
ejpam-7170	65	12	)	)	PUNCT
ejpam-7170	65	13	,	,	PUNCT
ejpam-7170	65	14	outlining	outline	VERB
ejpam-7170	65	15	its	its	PRON
ejpam-7170	65	16	fundamenm.a	fundamenm.a	PROPN
ejpam-7170	65	17	.	.	PUNCT
ejpam-7170	66	1	el	el	PROPN
ejpam-7170	66	2	-	-	ADJ
ejpam-7170	66	3	shorbagy	shorbagy	PROPN
ejpam-7170	66	4	et	et	PROPN
ejpam-7170	66	5	al	al	PROPN
ejpam-7170	66	6	.	.	PUNCT
ejpam-7170	66	7	/	/	SYM
ejpam-7170	66	8	eur	eur	PROPN
ejpam-7170	66	9	.	.	PUNCT
ejpam-7170	67	1	j.	j.	PROPN
ejpam-7170	67	2	pure	pure	PROPN
ejpam-7170	67	3	appl	appl	PROPN
ejpam-7170	67	4	.	.	PROPN
ejpam-7170	67	5	math	math	PROPN
ejpam-7170	67	6	,	,	PUNCT
ejpam-7170	67	7	18	18	NUM
ejpam-7170	67	8	(	(	PUNCT
ejpam-7170	67	9	4	4	NUM
ejpam-7170	67	10	)	)	PUNCT
ejpam-7170	67	11	(	(	PUNCT
ejpam-7170	67	12	2025	2025	NUM
ejpam-7170	67	13	)	)	PUNCT
ejpam-7170	67	14	,	,	PUNCT
ejpam-7170	67	15	7170	7170	NUM
ejpam-7170	67	16	4	4	NUM
ejpam-7170	67	17	of	of	ADP
ejpam-7170	67	18	21	21	NUM
ejpam-7170	67	19	tal	tal	ADJ
ejpam-7170	67	20	components	component	NOUN
ejpam-7170	67	21	such	such	ADJ
ejpam-7170	67	22	as	as	ADP
ejpam-7170	67	23	selection	selection	NOUN
ejpam-7170	67	24	,	,	PUNCT
ejpam-7170	67	25	crossover	crossover	NOUN
ejpam-7170	67	26	,	,	PUNCT
ejpam-7170	67	27	and	and	CCONJ
ejpam-7170	67	28	mutation	mutation	NOUN
ejpam-7170	67	29	,	,	PUNCT
ejpam-7170	67	30	as	as	ADV
ejpam-7170	67	31	well	well	ADV
ejpam-7170	67	32	as	as	ADP
ejpam-7170	67	33	its	its	PRON
ejpam-7170	67	34	suitability	suitability	NOUN
ejpam-7170	67	35	for	for	ADP
ejpam-7170	67	36	multi	multi	ADJ
ejpam-7170	67	37	-	-	ADJ
ejpam-7170	67	38	objective	objective	ADJ
ejpam-7170	67	39	optimization	optimization	NOUN
ejpam-7170	67	40	.	.	PUNCT
ejpam-7170	68	1	section	section	NOUN
ejpam-7170	68	2	4	4	NUM
ejpam-7170	68	3	introduces	introduce	NOUN
ejpam-7170	68	4	the	the	DET
ejpam-7170	68	5	proposed	propose	VERB
ejpam-7170	68	6	genetic	genetic	ADJ
ejpam-7170	68	7	algorithm	algorithm	NOUN
ejpam-7170	68	8	with	with	ADP
ejpam-7170	68	9	hybrid	hybrid	ADJ
ejpam-7170	68	10	mutation	mutation	NOUN
ejpam-7170	68	11	(	(	PUNCT
ejpam-7170	68	12	ga	ga	NOUN
ejpam-7170	68	13	-	-	PUNCT
ejpam-7170	68	14	hm	hm	NOUN
ejpam-7170	68	15	)	)	PUNCT
ejpam-7170	68	16	in	in	ADP
ejpam-7170	68	17	detail	detail	NOUN
ejpam-7170	68	18	,	,	PUNCT
ejpam-7170	68	19	describing	describe	VERB
ejpam-7170	68	20	the	the	DET
ejpam-7170	68	21	hybrid	hybrid	NOUN
ejpam-7170	68	22	mutation	mutation	NOUN
ejpam-7170	68	23	strategy	strategy	NOUN
ejpam-7170	68	24	,	,	PUNCT
ejpam-7170	68	25	its	its	PRON
ejpam-7170	68	26	role	role	NOUN
ejpam-7170	68	27	in	in	ADP
ejpam-7170	68	28	preserving	preserve	VERB
ejpam-7170	68	29	diversity	diversity	NOUN
ejpam-7170	68	30	.	.	PUNCT
ejpam-7170	69	1	section	section	NOUN
ejpam-7170	69	2	5	5	NUM
ejpam-7170	69	3	reports	report	NOUN
ejpam-7170	69	4	and	and	CCONJ
ejpam-7170	69	5	analyzes	analyze	VERB
ejpam-7170	69	6	the	the	DET
ejpam-7170	69	7	experimental	experimental	ADJ
ejpam-7170	69	8	findings	finding	NOUN
ejpam-7170	69	9	obtained	obtain	VERB
ejpam-7170	69	10	from	from	ADP
ejpam-7170	69	11	benchmark	benchmark	NOUN
ejpam-7170	69	12	test	test	NOUN
ejpam-7170	69	13	problems	problem	NOUN
ejpam-7170	69	14	,	,	PUNCT
ejpam-7170	69	15	comparing	compare	VERB
ejpam-7170	69	16	ga	ga	PROPN
ejpam-7170	69	17	-	-	PUNCT
ejpam-7170	69	18	hm	hm	PROPN
ejpam-7170	69	19	with	with	ADP
ejpam-7170	69	20	other	other	ADJ
ejpam-7170	69	21	state	state	NOUN
ejpam-7170	69	22	-	-	PUNCT
ejpam-7170	69	23	of	of	ADP
ejpam-7170	69	24	-	-	PUNCT
ejpam-7170	69	25	the	the	DET
ejpam-7170	69	26	-	-	PUNCT
ejpam-7170	69	27	art	art	NOUN
ejpam-7170	69	28	methods	method	NOUN
ejpam-7170	69	29	and	and	CCONJ
ejpam-7170	69	30	discussing	discuss	VERB
ejpam-7170	69	31	its	its	PRON
ejpam-7170	69	32	effectiveness	effectiveness	NOUN
ejpam-7170	69	33	in	in	ADP
ejpam-7170	69	34	solving	solve	VERB
ejpam-7170	69	35	morap	morap	NOUN
ejpam-7170	69	36	.	.	PUNCT
ejpam-7170	70	1	section	section	NOUN
ejpam-7170	70	2	6	6	NUM
ejpam-7170	70	3	explains	explain	VERB
ejpam-7170	70	4	ga	ga	PROPN
ejpam-7170	70	5	-	-	PUNCT
ejpam-7170	70	6	hm	hm	PROPN
ejpam-7170	70	7	’s	’s	ADJ
ejpam-7170	70	8	computational	computational	ADJ
ejpam-7170	70	9	complexity	complexity	NOUN
ejpam-7170	70	10	.	.	PUNCT
ejpam-7170	71	1	finally	finally	ADV
ejpam-7170	71	2	,	,	PUNCT
ejpam-7170	71	3	section	section	NOUN
ejpam-7170	71	4	7	7	NUM
ejpam-7170	71	5	concludes	conclude	VERB
ejpam-7170	71	6	the	the	DET
ejpam-7170	71	7	paper	paper	NOUN
ejpam-7170	71	8	by	by	ADP
ejpam-7170	71	9	summarizing	summarize	VERB
ejpam-7170	71	10	key	key	ADJ
ejpam-7170	71	11	insights	insight	NOUN
ejpam-7170	71	12	,	,	PUNCT
ejpam-7170	71	13	highlighting	highlight	VERB
ejpam-7170	71	14	contributions	contribution	NOUN
ejpam-7170	71	15	,	,	PUNCT
ejpam-7170	71	16	and	and	CCONJ
ejpam-7170	71	17	suggesting	suggest	VERB
ejpam-7170	71	18	possible	possible	ADJ
ejpam-7170	71	19	directions	direction	NOUN
ejpam-7170	71	20	for	for	ADP
ejpam-7170	71	21	future	future	ADJ
ejpam-7170	71	22	research	research	NOUN
ejpam-7170	71	23	.	.	PUNCT
ejpam-7170	72	1	2	2	X
ejpam-7170	72	2	.	.	X
ejpam-7170	72	3	multi	multi	ADJ
ejpam-7170	72	4	-	-	ADJ
ejpam-7170	72	5	objective	objective	ADJ
ejpam-7170	72	6	resource	resource	NOUN
ejpam-7170	72	7	allocation	allocation	NOUN
ejpam-7170	72	8	problem	problem	NOUN
ejpam-7170	72	9	the	the	DET
ejpam-7170	72	10	following	follow	VERB
ejpam-7170	72	11	is	be	AUX
ejpam-7170	72	12	a	a	DET
ejpam-7170	72	13	mathematical	mathematical	ADJ
ejpam-7170	72	14	expression	expression	NOUN
ejpam-7170	72	15	for	for	ADP
ejpam-7170	72	16	a	a	DET
ejpam-7170	72	17	general	general	ADJ
ejpam-7170	72	18	minimization	minimization	NOUN
ejpam-7170	72	19	problem	problem	NOUN
ejpam-7170	72	20	of	of	ADP
ejpam-7170	72	21	q	q	NOUN
ejpam-7170	72	22	objectives	objective	NOUN
ejpam-7170	72	23	:	:	PUNCT
ejpam-7170	72	24	given	give	VERB
ejpam-7170	72	25	x	x	X
ejpam-7170	72	26	=	=	PUNCT
ejpam-7170	73	1	[	[	X
ejpam-7170	73	2	x1	x1	PROPN
ejpam-7170	73	3	,	,	PUNCT
ejpam-7170	73	4	x2	x2	PROPN
ejpam-7170	73	5	,	,	PUNCT
ejpam-7170	73	6	.	.	PUNCT
ejpam-7170	73	7	.	.	PUNCT
ejpam-7170	74	1	.	.	PUNCT
ejpam-7170	75	1	,	,	PUNCT
ejpam-7170	75	2	xn	xn	PROPN
ejpam-7170	75	3	]	]	X
ejpam-7170	75	4	,	,	PUNCT
ejpam-7170	75	5	where	where	SCONJ
ejpam-7170	75	6	n	n	X
ejpam-7170	75	7	is	be	AUX
ejpam-7170	75	8	the	the	DET
ejpam-7170	75	9	dimension	dimension	NOUN
ejpam-7170	75	10	of	of	ADP
ejpam-7170	75	11	the	the	DET
ejpam-7170	75	12	decision	decision	NOUN
ejpam-7170	75	13	variable	variable	ADJ
ejpam-7170	75	14	space	space	NOUN
ejpam-7170	75	15	,	,	PUNCT
ejpam-7170	75	16	min	min	NOUN
ejpam-7170	75	17	/max	/max	PUNCT
ejpam-7170	76	1	f	f	X
ejpam-7170	76	2	(	(	PUNCT
ejpam-7170	76	3	x	x	X
ejpam-7170	76	4	)	)	PUNCT
ejpam-7170	76	5	=	=	SYM
ejpam-7170	77	1	[	[	X
ejpam-7170	77	2	fq(x	fq(x	NOUN
ejpam-7170	77	3	)	)	PUNCT
ejpam-7170	77	4	]	]	PUNCT
ejpam-7170	77	5	,	,	PUNCT
ejpam-7170	77	6	q	q	X
ejpam-7170	77	7	=	=	NOUN
ejpam-7170	77	8	1	1	NUM
ejpam-7170	77	9	,	,	PUNCT
ejpam-7170	77	10	.	.	PUNCT
ejpam-7170	77	11	.	.	PUNCT
ejpam-7170	78	1	.	.	PUNCT
ejpam-7170	79	1	,	,	PUNCT
ejpam-7170	79	2	q	q	X
ejpam-7170	79	3	,	,	PUNCT
ejpam-7170	79	4	subject	subject	ADJ
ejpam-7170	79	5	to	to	ADP
ejpam-7170	79	6	gj(x	gj(x	PRON
ejpam-7170	79	7	)	)	PUNCT
ejpam-7170	79	8	≤	≤	NUM
ejpam-7170	79	9	0	0	NUM
ejpam-7170	79	10	,	,	PUNCT
ejpam-7170	79	11	j	j	PROPN
ejpam-7170	80	1	=	=	SYM
ejpam-7170	80	2	1	1	NUM
ejpam-7170	80	3	,	,	PUNCT
ejpam-7170	80	4	.	.	PUNCT
ejpam-7170	80	5	.	.	PUNCT
ejpam-7170	81	1	.	.	PUNCT
ejpam-7170	82	1	,	,	PUNCT
ejpam-7170	82	2	j	j	NOUN
ejpam-7170	82	3	,	,	PUNCT
ejpam-7170	82	4	where	where	SCONJ
ejpam-7170	82	5	fq(x	fq(x	NOUN
ejpam-7170	82	6	)	)	PUNCT
ejpam-7170	82	7	is	be	AUX
ejpam-7170	82	8	the	the	DET
ejpam-7170	82	9	q	q	NOUN
ejpam-7170	82	10	-	-	PUNCT
ejpam-7170	82	11	th	th	VERB
ejpam-7170	82	12	objective	objective	ADJ
ejpam-7170	82	13	function	function	NOUN
ejpam-7170	82	14	and	and	CCONJ
ejpam-7170	82	15	gj(x	gj(x	PUNCT
ejpam-7170	82	16	)	)	PUNCT
ejpam-7170	83	1	is	be	AUX
ejpam-7170	83	2	the	the	DET
ejpam-7170	83	3	j	j	PROPN
ejpam-7170	83	4	-	-	PUNCT
ejpam-7170	83	5	th	th	VERB
ejpam-7170	83	6	inequality	inequality	NOUN
ejpam-7170	83	7	constraint	constraint	NOUN
ejpam-7170	83	8	.	.	PUNCT
ejpam-7170	84	1	the	the	DET
ejpam-7170	84	2	multi	multi	ADJ
ejpam-7170	84	3	-	-	ADJ
ejpam-7170	84	4	objective	objective	ADJ
ejpam-7170	84	5	optimization	optimization	NOUN
ejpam-7170	84	6	(	(	PUNCT
ejpam-7170	84	7	moo	moo	NOUN
ejpam-7170	84	8	)	)	PUNCT
ejpam-7170	84	9	problem	problem	NOUN
ejpam-7170	84	10	then	then	ADV
ejpam-7170	84	11	reduces	reduce	VERB
ejpam-7170	84	12	to	to	ADP
ejpam-7170	84	13	finding	find	VERB
ejpam-7170	84	14	x	x	PUNCT
ejpam-7170	84	15	such	such	ADJ
ejpam-7170	84	16	that	that	PRON
ejpam-7170	84	17	fq(x	fq(x	NOUN
ejpam-7170	84	18	)	)	PUNCT
ejpam-7170	84	19	,	,	PUNCT
ejpam-7170	84	20	∀q	∀q	PROPN
ejpam-7170	84	21	=	=	SYM
ejpam-7170	84	22	1	1	NUM
ejpam-7170	84	23	,	,	PUNCT
ejpam-7170	84	24	.	.	PUNCT
ejpam-7170	84	25	.	.	PUNCT
ejpam-7170	85	1	.	.	PUNCT
ejpam-7170	86	1	,	,	PUNCT
ejpam-7170	86	2	q	q	PROPN
ejpam-7170	86	3	is	be	AUX
ejpam-7170	86	4	optimized	optimize	VERB
ejpam-7170	86	5	.	.	PUNCT
ejpam-7170	87	1	pareto	pareto	ADJ
ejpam-7170	87	2	dominance	dominance	NOUN
ejpam-7170	87	3	is	be	AUX
ejpam-7170	87	4	a	a	DET
ejpam-7170	87	5	notion	notion	NOUN
ejpam-7170	87	6	used	use	VERB
ejpam-7170	87	7	in	in	ADP
ejpam-7170	87	8	moo	moo	NOUN
ejpam-7170	87	9	to	to	PART
ejpam-7170	87	10	evaluate	evaluate	VERB
ejpam-7170	87	11	the	the	DET
ejpam-7170	87	12	solutions	solution	NOUN
ejpam-7170	87	13	.	.	PUNCT
ejpam-7170	88	1	the	the	DET
ejpam-7170	88	2	definition	definition	NOUN
ejpam-7170	88	3	of	of	ADP
ejpam-7170	88	4	this	this	DET
ejpam-7170	88	5	vilfredo	vilfredo	NOUN
ejpam-7170	88	6	pareto	pareto	VERB
ejpam-7170	88	7	–	–	PUNCT
ejpam-7170	88	8	formulated	formulate	VERB
ejpam-7170	88	9	idea	idea	NOUN
ejpam-7170	88	10	is	be	AUX
ejpam-7170	88	11	[	[	X
ejpam-7170	88	12	3	3	NUM
ejpam-7170	88	13	]	]	PUNCT
ejpam-7170	88	14	.	.	PUNCT
ejpam-7170	89	1	definition	definition	NOUN
ejpam-7170	89	2	1	1	NUM
ejpam-7170	89	3	(	(	PUNCT
ejpam-7170	89	4	pareto	pareto	ADJ
ejpam-7170	89	5	dominance	dominance	NOUN
ejpam-7170	89	6	)	)	PUNCT
ejpam-7170	89	7	.	.	PUNCT
ejpam-7170	90	1	a	a	DET
ejpam-7170	90	2	vector	vector	NOUN
ejpam-7170	90	3	u	u	NOUN
ejpam-7170	90	4	=	=	PUNCT
ejpam-7170	90	5	(	(	PUNCT
ejpam-7170	90	6	u1	u1	PROPN
ejpam-7170	90	7	,	,	PUNCT
ejpam-7170	90	8	u2	u2	NOUN
ejpam-7170	90	9	,	,	PUNCT
ejpam-7170	90	10	.	.	PUNCT
ejpam-7170	90	11	.	.	PUNCT
ejpam-7170	90	12	.	.	PUNCT
ejpam-7170	91	1	,	,	PUNCT
ejpam-7170	91	2	uq	uq	PROPN
ejpam-7170	91	3	)	)	PUNCT
ejpam-7170	91	4	is	be	AUX
ejpam-7170	91	5	said	say	VERB
ejpam-7170	91	6	to	to	PART
ejpam-7170	91	7	dominate	dominate	VERB
ejpam-7170	91	8	a	a	DET
ejpam-7170	91	9	vector	vector	NOUN
ejpam-7170	91	10	v	v	NOUN
ejpam-7170	91	11	=	=	SYM
ejpam-7170	91	12	(	(	PUNCT
ejpam-7170	91	13	v1	v1	NOUN
ejpam-7170	91	14	,	,	PUNCT
ejpam-7170	91	15	v2	v2	NOUN
ejpam-7170	91	16	,	,	PUNCT
ejpam-7170	91	17	.	.	PUNCT
ejpam-7170	91	18	.	.	PUNCT
ejpam-7170	92	1	.	.	PUNCT
ejpam-7170	93	1	,	,	PUNCT
ejpam-7170	93	2	vq	vq	PROPN
ejpam-7170	93	3	)	)	PUNCT
ejpam-7170	93	4	(	(	PUNCT
ejpam-7170	93	5	denoted	denote	VERB
ejpam-7170	93	6	by	by	ADP
ejpam-7170	93	7	u	u	PROPN
ejpam-7170	93	8	≻	≻	PROPN
ejpam-7170	93	9	v	v	NOUN
ejpam-7170	93	10	)	)	PUNCT
ejpam-7170	93	11	,	,	PUNCT
ejpam-7170	93	12	for	for	ADP
ejpam-7170	93	13	a	a	DET
ejpam-7170	93	14	minimization	minimization	NOUN
ejpam-7170	93	15	problem	problem	NOUN
ejpam-7170	93	16	,	,	PUNCT
ejpam-7170	93	17	if	if	SCONJ
ejpam-7170	93	18	and	and	CCONJ
ejpam-7170	93	19	only	only	ADV
ejpam-7170	93	20	if	if	SCONJ
ejpam-7170	93	21	∀q	∀q	PROPN
ejpam-7170	93	22	∈	∈	PROPN
ejpam-7170	93	23	{	{	PUNCT
ejpam-7170	93	24	1	1	NUM
ejpam-7170	93	25	,	,	PUNCT
ejpam-7170	93	26	.	.	PUNCT
ejpam-7170	93	27	.	.	PUNCT
ejpam-7170	93	28	.	.	PUNCT
ejpam-7170	94	1	,	,	PUNCT
ejpam-7170	94	2	q	q	X
ejpam-7170	94	3	}	}	PUNCT
ejpam-7170	94	4	:	:	PUNCT
ejpam-7170	94	5	uq	uq	NOUN
ejpam-7170	94	6	≤	≤	NOUN
ejpam-7170	94	7	vq	vq	ADP
ejpam-7170	94	8	∧	∧	PROPN
ejpam-7170	94	9	∃q	∃q	PROPN
ejpam-7170	94	10	∈	∈	PROPN
ejpam-7170	94	11	{	{	PUNCT
ejpam-7170	94	12	1	1	NUM
ejpam-7170	94	13	,	,	PUNCT
ejpam-7170	94	14	.	.	PUNCT
ejpam-7170	94	15	.	.	PUNCT
ejpam-7170	94	16	.	.	PUNCT
ejpam-7170	95	1	,	,	PUNCT
ejpam-7170	95	2	q	q	X
ejpam-7170	95	3	}	}	PUNCT
ejpam-7170	95	4	:	:	PUNCT
ejpam-7170	95	5	uq	uq	NOUN
ejpam-7170	95	6	<	<	X
ejpam-7170	95	7	vq	vq	PROPN
ejpam-7170	95	8	.	.	PUNCT
ejpam-7170	96	1	m.a	m.a	PROPN
ejpam-7170	96	2	.	.	PROPN
ejpam-7170	96	3	el	el	PROPN
ejpam-7170	96	4	-	-	PROPN
ejpam-7170	96	5	shorbagy	shorbagy	PROPN
ejpam-7170	96	6	et	et	PROPN
ejpam-7170	96	7	al	al	PROPN
ejpam-7170	96	8	.	.	PUNCT
ejpam-7170	96	9	/	/	SYM
ejpam-7170	96	10	eur	eur	PROPN
ejpam-7170	96	11	.	.	PUNCT
ejpam-7170	97	1	j.	j.	PROPN
ejpam-7170	97	2	pure	pure	PROPN
ejpam-7170	97	3	appl	appl	PROPN
ejpam-7170	97	4	.	.	PROPN
ejpam-7170	97	5	math	math	PROPN
ejpam-7170	97	6	,	,	PUNCT
ejpam-7170	97	7	18	18	NUM
ejpam-7170	97	8	(	(	PUNCT
ejpam-7170	97	9	4	4	NUM
ejpam-7170	97	10	)	)	PUNCT
ejpam-7170	97	11	(	(	PUNCT
ejpam-7170	97	12	2025	2025	NUM
ejpam-7170	97	13	)	)	PUNCT
ejpam-7170	97	14	,	,	PUNCT
ejpam-7170	97	15	7170	7170	NUM
ejpam-7170	97	16	5	5	NUM
ejpam-7170	97	17	of	of	ADP
ejpam-7170	97	18	21	21	NUM
ejpam-7170	97	19	2.1	2.1	NUM
ejpam-7170	97	20	.	.	PUNCT
ejpam-7170	98	1	formulation	formulation	NOUN
ejpam-7170	98	2	of	of	ADP
ejpam-7170	98	3	multi	multi	ADJ
ejpam-7170	98	4	-	-	ADJ
ejpam-7170	98	5	objective	objective	ADJ
ejpam-7170	98	6	resource	resource	NOUN
ejpam-7170	98	7	allocation	allocation	NOUN
ejpam-7170	98	8	problem	problem	NOUN
ejpam-7170	98	9	the	the	DET
ejpam-7170	98	10	general	general	ADJ
ejpam-7170	98	11	formulation	formulation	NOUN
ejpam-7170	98	12	of	of	ADP
ejpam-7170	98	13	the	the	DET
ejpam-7170	98	14	multi	multi	ADJ
ejpam-7170	98	15	-	-	ADJ
ejpam-7170	98	16	objective	objective	ADJ
ejpam-7170	98	17	resource	resource	NOUN
ejpam-7170	98	18	allocation	allocation	NOUN
ejpam-7170	98	19	problem	problem	NOUN
ejpam-7170	98	20	(	(	PUNCT
ejpam-7170	98	21	morap	morap	NOUN
ejpam-7170	98	22	)	)	PUNCT
ejpam-7170	98	23	is	be	AUX
ejpam-7170	98	24	as	as	SCONJ
ejpam-7170	98	25	follows	follow	VERB
ejpam-7170	98	26	[	[	X
ejpam-7170	98	27	11	11	NUM
ejpam-7170	98	28	]	]	PUNCT
ejpam-7170	98	29	:	:	PUNCT
ejpam-7170	98	30	max	max	PROPN
ejpam-7170	98	31	z1(x1	z1(x1	PROPN
ejpam-7170	98	32	,	,	PUNCT
ejpam-7170	98	33	x2	x2	PROPN
ejpam-7170	98	34	,	,	PUNCT
ejpam-7170	98	35	.	.	PUNCT
ejpam-7170	98	36	.	.	PUNCT
ejpam-7170	99	1	.	.	PUNCT
ejpam-7170	100	1	,	,	PUNCT
ejpam-7170	100	2	xn	xn	X
ejpam-7170	100	3	)	)	PUNCT
ejpam-7170	101	1	=	=	SYM
ejpam-7170	101	2	n∑	n∑	NOUN
ejpam-7170	101	3	k=1	k=1	PROPN
ejpam-7170	101	4	z1k(xk	z1k(xk	NUM
ejpam-7170	101	5	)	)	PUNCT
ejpam-7170	101	6	,	,	PUNCT
ejpam-7170	101	7	max	max	PROPN
ejpam-7170	101	8	z2(x1	z2(x1	PROPN
ejpam-7170	101	9	,	,	PUNCT
ejpam-7170	101	10	x2	x2	PROPN
ejpam-7170	101	11	,	,	PUNCT
ejpam-7170	101	12	.	.	PUNCT
ejpam-7170	101	13	.	.	PUNCT
ejpam-7170	101	14	.	.	PUNCT
ejpam-7170	102	1	,	,	PUNCT
ejpam-7170	102	2	xn	xn	X
ejpam-7170	102	3	)	)	PUNCT
ejpam-7170	103	1	=	=	SYM
ejpam-7170	103	2	n∑	n∑	NOUN
ejpam-7170	103	3	k=1	k=1	PROPN
ejpam-7170	103	4	z2k(xk	z2k(xk	NUM
ejpam-7170	103	5	)	)	PUNCT
ejpam-7170	103	6	,	,	PUNCT
ejpam-7170	103	7	...	...	PUNCT
ejpam-7170	104	1	max	max	PROPN
ejpam-7170	104	2	zq(x1	zq(x1	PROPN
ejpam-7170	104	3	,	,	PUNCT
ejpam-7170	104	4	x2	x2	PROPN
ejpam-7170	104	5	,	,	PUNCT
ejpam-7170	104	6	.	.	PUNCT
ejpam-7170	104	7	.	.	PUNCT
ejpam-7170	104	8	.	.	PUNCT
ejpam-7170	104	9	,	,	PUNCT
ejpam-7170	104	10	xn	xn	X
ejpam-7170	104	11	)	)	PUNCT
ejpam-7170	105	1	=	=	SYM
ejpam-7170	105	2	n∑	n∑	NOUN
ejpam-7170	105	3	k=1	k=1	NOUN
ejpam-7170	105	4	zqk(xk	zqk(xk	NUM
ejpam-7170	105	5	)	)	PUNCT
ejpam-7170	105	6	,	,	PUNCT
ejpam-7170	105	7	subject	subject	ADJ
ejpam-7170	105	8	to	to	ADP
ejpam-7170	105	9	:	:	PUNCT
ejpam-7170	105	10	n∑	n∑	PROPN
ejpam-7170	105	11	k=1	k=1	X
ejpam-7170	105	12	gk(xk	gk(xk	X
ejpam-7170	105	13	)	)	PUNCT
ejpam-7170	105	14	≤	≤	PROPN
ejpam-7170	106	1	s	s	PROPN
ejpam-7170	106	2	,	,	PUNCT
ejpam-7170	106	3	gk(xk	gk(xk	ADJ
ejpam-7170	106	4	)	)	PUNCT
ejpam-7170	106	5	≥	≥	NOUN
ejpam-7170	106	6	0	0	NUM
ejpam-7170	106	7	,	,	PUNCT
ejpam-7170	106	8	xk	xk	PROPN
ejpam-7170	106	9	≥	≥	PROPN
ejpam-7170	106	10	0	0	NUM
ejpam-7170	106	11	.	.	PUNCT
ejpam-7170	107	1	(	(	PUNCT
ejpam-7170	107	2	1	1	X
ejpam-7170	107	3	)	)	PUNCT
ejpam-7170	107	4	where	where	SCONJ
ejpam-7170	107	5	xk	xk	PROPN
ejpam-7170	107	6	=	=	PUNCT
ejpam-7170	108	1	[	[	X
ejpam-7170	108	2	x1	x1	X
ejpam-7170	108	3	,	,	PUNCT
ejpam-7170	108	4	x2	x2	PROPN
ejpam-7170	108	5	,	,	PUNCT
ejpam-7170	108	6	.	.	PUNCT
ejpam-7170	108	7	.	.	PUNCT
ejpam-7170	109	1	.	.	PUNCT
ejpam-7170	110	1	,	,	PUNCT
ejpam-7170	110	2	xn	xn	PROPN
ejpam-7170	110	3	]	]	X
ejpam-7170	110	4	are	be	AUX
ejpam-7170	110	5	the	the	DET
ejpam-7170	110	6	decision	decision	NOUN
ejpam-7170	110	7	variables	variable	NOUN
ejpam-7170	110	8	and	and	CCONJ
ejpam-7170	110	9	the	the	DET
ejpam-7170	110	10	available	available	ADJ
ejpam-7170	110	11	resources	resource	NOUN
ejpam-7170	110	12	are	be	AUX
ejpam-7170	110	13	denoted	denote	VERB
ejpam-7170	110	14	by	by	ADP
ejpam-7170	110	15	s.	s.	PROPN
ejpam-7170	110	16	gk(xk	gk(xk	PROPN
ejpam-7170	110	17	)	)	PUNCT
ejpam-7170	110	18	stands	stand	VERB
ejpam-7170	110	19	for	for	ADP
ejpam-7170	110	20	the	the	DET
ejpam-7170	110	21	stages	stage	NOUN
ejpam-7170	110	22	of	of	ADP
ejpam-7170	110	23	the	the	DET
ejpam-7170	110	24	activity	activity	NOUN
ejpam-7170	110	25	,	,	PUNCT
ejpam-7170	110	26	while	while	SCONJ
ejpam-7170	110	27	the	the	DET
ejpam-7170	110	28	objective	objective	ADJ
ejpam-7170	110	29	function	function	NOUN
ejpam-7170	110	30	is	be	AUX
ejpam-7170	110	31	zq(x1	zq(x1	NOUN
ejpam-7170	110	32	,	,	PUNCT
ejpam-7170	110	33	x2	x2	PROPN
ejpam-7170	110	34	,	,	PUNCT
ejpam-7170	110	35	.	.	PUNCT
ejpam-7170	110	36	.	.	PUNCT
ejpam-7170	111	1	.	.	PUNCT
ejpam-7170	112	1	,	,	PUNCT
ejpam-7170	112	2	xn	xn	PROPN
ejpam-7170	112	3	)	)	PUNCT
ejpam-7170	112	4	.	.	PUNCT
ejpam-7170	113	1	with	with	ADP
ejpam-7170	113	2	a	a	DET
ejpam-7170	113	3	finite	finite	ADJ
ejpam-7170	113	4	quantity	quantity	NOUN
ejpam-7170	113	5	of	of	ADP
ejpam-7170	113	6	resources	resource	NOUN
ejpam-7170	113	7	available	available	ADJ
ejpam-7170	113	8	,	,	PUNCT
ejpam-7170	113	9	the	the	DET
ejpam-7170	113	10	morap	morap	NOUN
ejpam-7170	113	11	process	process	NOUN
ejpam-7170	113	12	attempts	attempt	VERB
ejpam-7170	113	13	to	to	PART
ejpam-7170	113	14	maximize	maximize	VERB
ejpam-7170	113	15	the	the	DET
ejpam-7170	113	16	achievement	achievement	NOUN
ejpam-7170	113	17	of	of	ADP
ejpam-7170	113	18	each	each	DET
ejpam-7170	113	19	objective	objective	NOUN
ejpam-7170	113	20	by	by	ADP
ejpam-7170	113	21	distributing	distribute	VERB
ejpam-7170	113	22	those	those	DET
ejpam-7170	113	23	resources	resource	NOUN
ejpam-7170	113	24	(	(	PUNCT
ejpam-7170	113	25	decision	decision	NOUN
ejpam-7170	113	26	variables	variable	NOUN
ejpam-7170	113	27	)	)	PUNCT
ejpam-7170	113	28	among	among	ADP
ejpam-7170	113	29	several	several	ADJ
ejpam-7170	113	30	tasks	task	NOUN
ejpam-7170	113	31	(	(	PUNCT
ejpam-7170	113	32	activity	activity	NOUN
ejpam-7170	113	33	stages	stage	NOUN
ejpam-7170	113	34	)	)	PUNCT
ejpam-7170	113	35	,	,	PUNCT
ejpam-7170	113	36	each	each	PRON
ejpam-7170	113	37	of	of	ADP
ejpam-7170	113	38	which	which	PRON
ejpam-7170	113	39	is	be	AUX
ejpam-7170	113	40	represented	represent	VERB
ejpam-7170	113	41	by	by	ADP
ejpam-7170	113	42	an	an	DET
ejpam-7170	113	43	activity	activity	NOUN
ejpam-7170	113	44	stage	stage	NOUN
ejpam-7170	113	45	[	[	X
ejpam-7170	113	46	11	11	NUM
ejpam-7170	113	47	]	]	PUNCT
ejpam-7170	113	48	.	.	PUNCT
ejpam-7170	114	1	morap	morap	NOUN
ejpam-7170	114	2	appears	appear	VERB
ejpam-7170	114	3	in	in	ADP
ejpam-7170	114	4	a	a	DET
ejpam-7170	114	5	wide	wide	ADJ
ejpam-7170	114	6	range	range	NOUN
ejpam-7170	114	7	of	of	ADP
ejpam-7170	114	8	practical	practical	ADJ
ejpam-7170	114	9	domains	domain	NOUN
ejpam-7170	114	10	where	where	SCONJ
ejpam-7170	114	11	resources	resource	NOUN
ejpam-7170	114	12	are	be	AUX
ejpam-7170	114	13	limited	limited	ADJ
ejpam-7170	114	14	and	and	CCONJ
ejpam-7170	114	15	multiple	multiple	ADJ
ejpam-7170	114	16	criteria	criterion	NOUN
ejpam-7170	114	17	must	must	AUX
ejpam-7170	114	18	be	be	AUX
ejpam-7170	114	19	balanced	balance	VERB
ejpam-7170	114	20	,	,	PUNCT
ejpam-7170	114	21	such	such	ADJ
ejpam-7170	114	22	as	as	ADP
ejpam-7170	114	23	:	:	PUNCT
ejpam-7170	114	24	•	•	NUM
ejpam-7170	114	25	manufacturing	manufacturing	NOUN
ejpam-7170	114	26	and	and	CCONJ
ejpam-7170	114	27	production	production	NOUN
ejpam-7170	114	28	planning	planning	NOUN
ejpam-7170	114	29	,	,	PUNCT
ejpam-7170	114	30	•	•	NUM
ejpam-7170	114	31	project	project	NOUN
ejpam-7170	114	32	management	management	NOUN
ejpam-7170	114	33	,	,	PUNCT
ejpam-7170	114	34	•	•	NUM
ejpam-7170	114	35	telecommunications	telecommunication	NOUN
ejpam-7170	114	36	and	and	CCONJ
ejpam-7170	114	37	networks	network	NOUN
ejpam-7170	114	38	,	,	PUNCT
ejpam-7170	114	39	•	•	NUM
ejpam-7170	114	40	healthcare	healthcare	NOUN
ejpam-7170	114	41	resource	resource	NOUN
ejpam-7170	114	42	allocation	allocation	NOUN
ejpam-7170	114	43	,	,	PUNCT
ejpam-7170	114	44	•	•	NUM
ejpam-7170	114	45	energy	energy	NOUN
ejpam-7170	114	46	systems	system	NOUN
ejpam-7170	114	47	,	,	PUNCT
ejpam-7170	114	48	•	•	NUM
ejpam-7170	114	49	finance	finance	NOUN
ejpam-7170	114	50	and	and	CCONJ
ejpam-7170	114	51	investment	investment	NOUN
ejpam-7170	114	52	.	.	PUNCT
ejpam-7170	115	1	morap	morap	NOUN
ejpam-7170	115	2	has	have	VERB
ejpam-7170	115	3	many	many	ADJ
ejpam-7170	115	4	challenges	challenge	NOUN
ejpam-7170	115	5	due	due	ADJ
ejpam-7170	115	6	to	to	ADP
ejpam-7170	115	7	several	several	ADJ
ejpam-7170	115	8	reasons	reason	NOUN
ejpam-7170	115	9	:	:	PUNCT
ejpam-7170	115	10	(	(	PUNCT
ejpam-7170	115	11	i	i	NOUN
ejpam-7170	115	12	)	)	PUNCT
ejpam-7170	115	13	multiple	multiple	ADJ
ejpam-7170	115	14	conflicting	conflict	VERB
ejpam-7170	115	15	objectives	objective	NOUN
ejpam-7170	115	16	:	:	PUNCT
ejpam-7170	115	17	improving	improve	VERB
ejpam-7170	115	18	one	one	NUM
ejpam-7170	115	19	objective	objective	NOUN
ejpam-7170	115	20	often	often	ADV
ejpam-7170	115	21	worsens	worsen	VERB
ejpam-7170	115	22	another	another	PRON
ejpam-7170	115	23	(	(	PUNCT
ejpam-7170	115	24	e.g.	e.g.	ADV
ejpam-7170	115	25	,	,	PUNCT
ejpam-7170	115	26	increasing	increase	VERB
ejpam-7170	115	27	speed	speed	NOUN
ejpam-7170	115	28	may	may	AUX
ejpam-7170	115	29	increase	increase	VERB
ejpam-7170	115	30	cost	cost	NOUN
ejpam-7170	115	31	)	)	PUNCT
ejpam-7170	115	32	.	.	PUNCT
ejpam-7170	116	1	this	this	PRON
ejpam-7170	116	2	requires	require	VERB
ejpam-7170	116	3	finding	find	VERB
ejpam-7170	116	4	a	a	DET
ejpam-7170	116	5	pareto	pareto	ADJ
ejpam-7170	116	6	front	front	NOUN
ejpam-7170	116	7	rather	rather	ADV
ejpam-7170	116	8	than	than	ADP
ejpam-7170	116	9	a	a	DET
ejpam-7170	116	10	single	single	ADJ
ejpam-7170	116	11	solution	solution	NOUN
ejpam-7170	116	12	.	.	PUNCT
ejpam-7170	117	1	m.a	m.a	PROPN
ejpam-7170	117	2	.	.	PROPN
ejpam-7170	117	3	el	el	PROPN
ejpam-7170	117	4	-	-	PROPN
ejpam-7170	117	5	shorbagy	shorbagy	PROPN
ejpam-7170	117	6	et	et	PROPN
ejpam-7170	117	7	al	al	PROPN
ejpam-7170	117	8	.	.	PUNCT
ejpam-7170	117	9	/	/	SYM
ejpam-7170	117	10	eur	eur	PROPN
ejpam-7170	117	11	.	.	PUNCT
ejpam-7170	118	1	j.	j.	PROPN
ejpam-7170	118	2	pure	pure	PROPN
ejpam-7170	118	3	appl	appl	PROPN
ejpam-7170	118	4	.	.	PROPN
ejpam-7170	118	5	math	math	PROPN
ejpam-7170	118	6	,	,	PUNCT
ejpam-7170	118	7	18	18	NUM
ejpam-7170	118	8	(	(	PUNCT
ejpam-7170	118	9	4	4	NUM
ejpam-7170	118	10	)	)	PUNCT
ejpam-7170	118	11	(	(	PUNCT
ejpam-7170	118	12	2025	2025	NUM
ejpam-7170	118	13	)	)	PUNCT
ejpam-7170	118	14	,	,	PUNCT
ejpam-7170	118	15	7170	7170	NUM
ejpam-7170	118	16	6	6	NUM
ejpam-7170	118	17	of	of	ADP
ejpam-7170	118	18	21	21	NUM
ejpam-7170	118	19	(	(	PUNCT
ejpam-7170	118	20	ii	ii	NOUN
ejpam-7170	118	21	)	)	PUNCT
ejpam-7170	118	22	combinatorial	combinatorial	ADJ
ejpam-7170	118	23	complexity	complexity	NOUN
ejpam-7170	118	24	:	:	PUNCT
ejpam-7170	118	25	discrete	discrete	ADJ
ejpam-7170	118	26	resources	resource	NOUN
ejpam-7170	118	27	or	or	CCONJ
ejpam-7170	118	28	allocation	allocation	NOUN
ejpam-7170	118	29	units	unit	NOUN
ejpam-7170	118	30	often	often	ADV
ejpam-7170	118	31	lead	lead	VERB
ejpam-7170	118	32	to	to	ADP
ejpam-7170	118	33	np	np	ADJ
ejpam-7170	118	34	-	-	PUNCT
ejpam-7170	118	35	hard	hard	ADJ
ejpam-7170	118	36	problems	problem	NOUN
ejpam-7170	118	37	,	,	PUNCT
ejpam-7170	118	38	as	as	SCONJ
ejpam-7170	118	39	the	the	DET
ejpam-7170	118	40	number	number	NOUN
ejpam-7170	118	41	of	of	ADP
ejpam-7170	118	42	possible	possible	ADJ
ejpam-7170	118	43	allocations	allocation	NOUN
ejpam-7170	118	44	grows	grow	VERB
ejpam-7170	118	45	exponentially	exponentially	ADV
ejpam-7170	118	46	with	with	ADP
ejpam-7170	118	47	the	the	DET
ejpam-7170	118	48	number	number	NOUN
ejpam-7170	118	49	of	of	ADP
ejpam-7170	118	50	resources	resource	NOUN
ejpam-7170	118	51	and	and	CCONJ
ejpam-7170	118	52	activities	activity	NOUN
ejpam-7170	118	53	.	.	PUNCT
ejpam-7170	119	1	(	(	PUNCT
ejpam-7170	119	2	iii	iii	NOUN
ejpam-7170	119	3	)	)	PUNCT
ejpam-7170	119	4	nonlinearity	nonlinearity	NOUN
ejpam-7170	119	5	:	:	PUNCT
ejpam-7170	119	6	objective	objective	ADJ
ejpam-7170	119	7	functions	function	NOUN
ejpam-7170	119	8	may	may	AUX
ejpam-7170	119	9	be	be	AUX
ejpam-7170	119	10	nonlinear	nonlinear	ADJ
ejpam-7170	119	11	or	or	CCONJ
ejpam-7170	119	12	nonconvex	nonconvex	NOUN
ejpam-7170	119	13	,	,	PUNCT
ejpam-7170	119	14	making	make	VERB
ejpam-7170	119	15	traditional	traditional	ADJ
ejpam-7170	119	16	optimization	optimization	NOUN
ejpam-7170	119	17	methods	method	NOUN
ejpam-7170	119	18	ineffective	ineffective	ADJ
ejpam-7170	119	19	.	.	PUNCT
ejpam-7170	120	1	(	(	PUNCT
ejpam-7170	120	2	iv	iv	X
ejpam-7170	120	3	)	)	PUNCT
ejpam-7170	120	4	constraints	constraint	NOUN
ejpam-7170	120	5	:	:	PUNCT
ejpam-7170	120	6	resource	resource	NOUN
ejpam-7170	120	7	limits	limit	NOUN
ejpam-7170	120	8	,	,	PUNCT
ejpam-7170	120	9	operational	operational	ADJ
ejpam-7170	120	10	restrictions	restriction	NOUN
ejpam-7170	120	11	,	,	PUNCT
ejpam-7170	120	12	or	or	CCONJ
ejpam-7170	120	13	policy	policy	NOUN
ejpam-7170	120	14	requirements	requirement	NOUN
ejpam-7170	120	15	create	create	VERB
ejpam-7170	120	16	complex	complex	ADJ
ejpam-7170	120	17	feasible	feasible	ADJ
ejpam-7170	120	18	regions	region	NOUN
ejpam-7170	120	19	.	.	PUNCT
ejpam-7170	121	1	(	(	PUNCT
ejpam-7170	121	2	v	v	NOUN
ejpam-7170	121	3	)	)	PUNCT
ejpam-7170	121	4	dynamic	dynamic	ADJ
ejpam-7170	121	5	and	and	CCONJ
ejpam-7170	121	6	uncertain	uncertain	ADJ
ejpam-7170	121	7	environments	environment	NOUN
ejpam-7170	121	8	:	:	PUNCT
ejpam-7170	121	9	resource	resource	NOUN
ejpam-7170	121	10	availability	availability	NOUN
ejpam-7170	121	11	or	or	CCONJ
ejpam-7170	121	12	demand	demand	NOUN
ejpam-7170	121	13	may	may	AUX
ejpam-7170	121	14	change	change	VERB
ejpam-7170	121	15	over	over	ADP
ejpam-7170	121	16	time	time	NOUN
ejpam-7170	121	17	and	and	CCONJ
ejpam-7170	121	18	require	require	VERB
ejpam-7170	121	19	adaptive	adaptive	ADJ
ejpam-7170	121	20	or	or	CCONJ
ejpam-7170	121	21	stochastic	stochastic	ADJ
ejpam-7170	121	22	approaches	approach	NOUN
ejpam-7170	121	23	.	.	PUNCT
ejpam-7170	122	1	(	(	PUNCT
ejpam-7170	122	2	vi	vi	NOUN
ejpam-7170	122	3	)	)	PUNCT
ejpam-7170	122	4	trade	trade	NOUN
ejpam-7170	122	5	-	-	PUNCT
ejpam-7170	122	6	off	off	ADP
ejpam-7170	122	7	analysis	analysis	NOUN
ejpam-7170	122	8	:	:	PUNCT
ejpam-7170	122	9	decision	decision	NOUN
ejpam-7170	122	10	-	-	PUNCT
ejpam-7170	122	11	makers	maker	NOUN
ejpam-7170	122	12	must	must	AUX
ejpam-7170	122	13	select	select	VERB
ejpam-7170	122	14	a	a	DET
ejpam-7170	122	15	final	final	ADJ
ejpam-7170	122	16	solution	solution	NOUN
ejpam-7170	122	17	from	from	ADP
ejpam-7170	122	18	the	the	DET
ejpam-7170	122	19	paretooptimal	paretooptimal	NOUN
ejpam-7170	122	20	set	set	NOUN
ejpam-7170	122	21	,	,	PUNCT
ejpam-7170	122	22	which	which	PRON
ejpam-7170	122	23	can	can	AUX
ejpam-7170	122	24	be	be	AUX
ejpam-7170	122	25	subjective	subjective	ADJ
ejpam-7170	122	26	and	and	CCONJ
ejpam-7170	122	27	context	context	NOUN
ejpam-7170	122	28	-	-	PUNCT
ejpam-7170	122	29	dependent	dependent	ADJ
ejpam-7170	122	30	.	.	PUNCT
ejpam-7170	123	1	3	3	X
ejpam-7170	123	2	.	.	X
ejpam-7170	123	3	genetic	genetic	ADJ
ejpam-7170	123	4	algorithm	algorithm	NOUN
ejpam-7170	123	5	mechanism	mechanism	NOUN
ejpam-7170	123	6	genetic	genetic	ADJ
ejpam-7170	123	7	algorithms	algorithm	NOUN
ejpam-7170	123	8	(	(	PUNCT
ejpam-7170	123	9	gas	gas	NOUN
ejpam-7170	123	10	)	)	PUNCT
ejpam-7170	123	11	operate	operate	VERB
ejpam-7170	123	12	on	on	ADP
ejpam-7170	123	13	a	a	DET
ejpam-7170	123	14	pool	pool	NOUN
ejpam-7170	123	15	of	of	ADP
ejpam-7170	123	16	potential	potential	ADJ
ejpam-7170	123	17	solutions	solution	NOUN
ejpam-7170	123	18	stored	store	VERB
ejpam-7170	123	19	in	in	ADP
ejpam-7170	123	20	a	a	DET
ejpam-7170	123	21	limited	limited	ADJ
ejpam-7170	123	22	number	number	NOUN
ejpam-7170	123	23	of	of	ADP
ejpam-7170	123	24	bits	bit	NOUN
ejpam-7170	123	25	,	,	PUNCT
ejpam-7170	123	26	or	or	CCONJ
ejpam-7170	123	27	chromosomes	chromosome	NOUN
ejpam-7170	123	28	.	.	PUNCT
ejpam-7170	124	1	each	each	DET
ejpam-7170	124	2	chromosome	chromosome	NOUN
ejpam-7170	124	3	communicates	communicate	VERB
ejpam-7170	124	4	with	with	ADP
ejpam-7170	124	5	the	the	DET
ejpam-7170	124	6	others	other	NOUN
ejpam-7170	124	7	to	to	PART
ejpam-7170	124	8	find	find	VERB
ejpam-7170	124	9	the	the	DET
ejpam-7170	124	10	best	good	ADJ
ejpam-7170	124	11	solution	solution	NOUN
ejpam-7170	124	12	by	by	ADP
ejpam-7170	124	13	utilizing	utilize	VERB
ejpam-7170	124	14	operators	operator	NOUN
ejpam-7170	124	15	taken	take	VERB
ejpam-7170	124	16	from	from	ADP
ejpam-7170	124	17	natural	natural	ADJ
ejpam-7170	124	18	genetics	genetic	NOUN
ejpam-7170	125	1	[	[	X
ejpam-7170	125	2	21	21	NUM
ejpam-7170	125	3	,	,	PUNCT
ejpam-7170	125	4	22	22	NUM
ejpam-7170	125	5	]	]	PUNCT
ejpam-7170	125	6	.	.	PUNCT
ejpam-7170	126	1	the	the	DET
ejpam-7170	126	2	following	follow	VERB
ejpam-7170	126	3	is	be	AUX
ejpam-7170	126	4	a	a	DET
ejpam-7170	126	5	description	description	NOUN
ejpam-7170	126	6	of	of	ADP
ejpam-7170	126	7	the	the	DET
ejpam-7170	126	8	stages	stage	NOUN
ejpam-7170	126	9	involved	involve	VERB
ejpam-7170	126	10	in	in	ADP
ejpam-7170	126	11	basic	basic	ADJ
ejpam-7170	126	12	genetic	genetic	ADJ
ejpam-7170	126	13	operators	operator	NOUN
ejpam-7170	126	14	:	:	PUNCT
ejpam-7170	126	15	step	step	NOUN
ejpam-7170	126	16	0	0	NUM
ejpam-7170	126	17	:	:	PUNCT
ejpam-7170	126	18	create	create	VERB
ejpam-7170	126	19	an	an	DET
ejpam-7170	126	20	initial	initial	ADJ
ejpam-7170	126	21	population	population	NOUN
ejpam-7170	126	22	at	at	ADP
ejpam-7170	126	23	random	random	ADJ
ejpam-7170	126	24	(	(	PUNCT
ejpam-7170	126	25	the	the	DET
ejpam-7170	126	26	initialization	initialization	NOUN
ejpam-7170	126	27	stage	stage	NOUN
ejpam-7170	126	28	)	)	PUNCT
ejpam-7170	126	29	.	.	PUNCT
ejpam-7170	127	1	step	step	NOUN
ejpam-7170	127	2	1	1	NUM
ejpam-7170	127	3	:	:	PUNCT
ejpam-7170	127	4	determine	determine	VERB
ejpam-7170	127	5	the	the	DET
ejpam-7170	127	6	values	value	NOUN
ejpam-7170	127	7	of	of	ADP
ejpam-7170	127	8	the	the	DET
ejpam-7170	127	9	q	q	NOUN
ejpam-7170	127	10	objectives	objective	NOUN
ejpam-7170	127	11	for	for	ADP
ejpam-7170	127	12	each	each	DET
ejpam-7170	127	13	individual	individual	NOUN
ejpam-7170	127	14	(	(	PUNCT
ejpam-7170	127	15	evaluation	evaluation	NOUN
ejpam-7170	127	16	of	of	ADP
ejpam-7170	127	17	non	non	ADJ
ejpam-7170	127	18	-	-	ADJ
ejpam-7170	127	19	dominated	dominated	ADJ
ejpam-7170	127	20	solutions	solution	NOUN
ejpam-7170	127	21	)	)	PUNCT
ejpam-7170	127	22	.	.	PUNCT
ejpam-7170	128	1	step	step	NOUN
ejpam-7170	128	2	2	2	NUM
ejpam-7170	128	3	:	:	PUNCT
ejpam-7170	128	4	in	in	ADP
ejpam-7170	128	5	this	this	DET
ejpam-7170	128	6	step	step	NOUN
ejpam-7170	128	7	,	,	PUNCT
ejpam-7170	128	8	utilize	utilize	VERB
ejpam-7170	128	9	selection	selection	NOUN
ejpam-7170	128	10	operators	operator	NOUN
ejpam-7170	128	11	to	to	PART
ejpam-7170	128	12	choose	choose	VERB
ejpam-7170	128	13	which	which	PRON
ejpam-7170	128	14	individuals	individual	NOUN
ejpam-7170	128	15	will	will	AUX
ejpam-7170	128	16	be	be	AUX
ejpam-7170	128	17	used	use	VERB
ejpam-7170	128	18	with	with	ADP
ejpam-7170	128	19	the	the	DET
ejpam-7170	128	20	crossover	crossover	NOUN
ejpam-7170	128	21	operators	operator	NOUN
ejpam-7170	128	22	.	.	PUNCT
ejpam-7170	129	1	step	step	NOUN
ejpam-7170	129	2	3	3	NUM
ejpam-7170	129	3	:	:	PUNCT
ejpam-7170	129	4	use	use	VERB
ejpam-7170	129	5	a	a	DET
ejpam-7170	129	6	crossover	crossover	NOUN
ejpam-7170	129	7	operator	operator	NOUN
ejpam-7170	129	8	on	on	ADP
ejpam-7170	129	9	each	each	PRON
ejpam-7170	129	10	of	of	ADP
ejpam-7170	129	11	the	the	DET
ejpam-7170	129	12	chosen	choose	VERB
ejpam-7170	129	13	pair	pair	NOUN
ejpam-7170	129	14	of	of	ADP
ejpam-7170	129	15	chromosomes	chromosome	NOUN
ejpam-7170	129	16	by	by	ADP
ejpam-7170	129	17	selection	selection	NOUN
ejpam-7170	129	18	operator	operator	NOUN
ejpam-7170	129	19	to	to	PART
ejpam-7170	129	20	produce	produce	VERB
ejpam-7170	129	21	a	a	DET
ejpam-7170	129	22	new	new	ADJ
ejpam-7170	129	23	offspring	offspring	NOUN
ejpam-7170	129	24	.	.	PUNCT
ejpam-7170	130	1	step	step	NOUN
ejpam-7170	130	2	4	4	NUM
ejpam-7170	130	3	:	:	PUNCT
ejpam-7170	130	4	use	use	VERB
ejpam-7170	130	5	the	the	DET
ejpam-7170	130	6	mutation	mutation	NOUN
ejpam-7170	130	7	operators	operator	NOUN
ejpam-7170	130	8	to	to	PART
ejpam-7170	130	9	modify	modify	VERB
ejpam-7170	130	10	each	each	DET
ejpam-7170	130	11	offspring	offspring	NOUN
ejpam-7170	130	12	that	that	PRON
ejpam-7170	130	13	is	be	AUX
ejpam-7170	130	14	produced	produce	VERB
ejpam-7170	130	15	by	by	ADP
ejpam-7170	130	16	the	the	DET
ejpam-7170	130	17	crossover	crossover	NOUN
ejpam-7170	130	18	process	process	NOUN
ejpam-7170	130	19	.	.	PUNCT
ejpam-7170	131	1	step	step	NOUN
ejpam-7170	131	2	5	5	NUM
ejpam-7170	131	3	:	:	PUNCT
ejpam-7170	131	4	verify	verify	VERB
ejpam-7170	131	5	the	the	DET
ejpam-7170	131	6	stopping	stopping	NOUN
ejpam-7170	131	7	requirement	requirement	NOUN
ejpam-7170	131	8	.	.	PUNCT
ejpam-7170	132	1	go	go	VERB
ejpam-7170	132	2	back	back	ADV
ejpam-7170	132	3	to	to	PART
ejpam-7170	132	4	step	step	VERB
ejpam-7170	132	5	1	1	NUM
ejpam-7170	132	6	if	if	SCONJ
ejpam-7170	132	7	it	it	PRON
ejpam-7170	132	8	is	be	AUX
ejpam-7170	132	9	not	not	PART
ejpam-7170	132	10	fulfilled	fulfil	VERB
ejpam-7170	132	11	.	.	PUNCT
ejpam-7170	133	1	otherwise	otherwise	ADV
ejpam-7170	133	2	,	,	PUNCT
ejpam-7170	133	3	proceed	proceed	VERB
ejpam-7170	133	4	to	to	PART
ejpam-7170	133	5	step	step	VERB
ejpam-7170	133	6	6	6	NUM
ejpam-7170	133	7	.	.	PUNCT
ejpam-7170	134	1	step	step	NOUN
ejpam-7170	134	2	6	6	NUM
ejpam-7170	134	3	:	:	PUNCT
ejpam-7170	134	4	the	the	DET
ejpam-7170	134	5	best	good	ADJ
ejpam-7170	134	6	solution	solution	NOUN
ejpam-7170	134	7	(	(	PUNCT
ejpam-7170	134	8	chromosome	chromosome	NOUN
ejpam-7170	134	9	)	)	PUNCT
ejpam-7170	134	10	is	be	AUX
ejpam-7170	134	11	offered	offer	VERB
ejpam-7170	134	12	to	to	ADP
ejpam-7170	134	13	the	the	DET
ejpam-7170	134	14	decision	decision	NOUN
ejpam-7170	134	15	-	-	PUNCT
ejpam-7170	134	16	maker	maker	NOUN
ejpam-7170	134	17	(	(	PUNCT
ejpam-7170	134	18	dm	dm	PROPN
ejpam-7170	134	19	)	)	PUNCT
ejpam-7170	134	20	.	.	PUNCT
ejpam-7170	135	1	figure	figure	NOUN
ejpam-7170	135	2	1	1	NUM
ejpam-7170	135	3	shows	show	VERB
ejpam-7170	135	4	a	a	DET
ejpam-7170	135	5	flow	flow	NOUN
ejpam-7170	135	6	diagram	diagram	NOUN
ejpam-7170	135	7	depicting	depict	VERB
ejpam-7170	135	8	the	the	DET
ejpam-7170	135	9	main	main	ADJ
ejpam-7170	135	10	steps	step	NOUN
ejpam-7170	135	11	of	of	ADP
ejpam-7170	135	12	the	the	DET
ejpam-7170	135	13	ga	ga	PROPN
ejpam-7170	135	14	process	process	NOUN
ejpam-7170	135	15	.	.	PUNCT
ejpam-7170	136	1	ga	ga	PROPN
ejpam-7170	136	2	can	can	AUX
ejpam-7170	136	3	be	be	AUX
ejpam-7170	136	4	extended	extend	VERB
ejpam-7170	136	5	to	to	PART
ejpam-7170	136	6	address	address	VERB
ejpam-7170	136	7	multiple	multiple	ADJ
ejpam-7170	136	8	conflicting	conflicting	ADJ
ejpam-7170	136	9	objectives	objective	NOUN
ejpam-7170	136	10	.	.	PUNCT
ejpam-7170	137	1	in	in	ADP
ejpam-7170	137	2	this	this	DET
ejpam-7170	137	3	context	context	NOUN
ejpam-7170	137	4	,	,	PUNCT
ejpam-7170	137	5	solutions	solution	NOUN
ejpam-7170	137	6	are	be	AUX
ejpam-7170	137	7	assessed	assess	VERB
ejpam-7170	137	8	using	use	VERB
ejpam-7170	137	9	pareto	pareto	ADJ
ejpam-7170	137	10	dominance	dominance	NOUN
ejpam-7170	137	11	,	,	PUNCT
ejpam-7170	137	12	resulting	result	VERB
ejpam-7170	137	13	in	in	ADP
ejpam-7170	137	14	a	a	DET
ejpam-7170	137	15	set	set	NOUN
ejpam-7170	137	16	of	of	ADP
ejpam-7170	137	17	pareto	pareto	VERB
ejpam-7170	137	18	-	-	PUNCT
ejpam-7170	137	19	optimal	optimal	ADJ
ejpam-7170	137	20	solutions	solution	NOUN
ejpam-7170	137	21	rather	rather	ADV
ejpam-7170	137	22	than	than	ADP
ejpam-7170	137	23	a	a	DET
ejpam-7170	137	24	single	single	ADJ
ejpam-7170	137	25	optimum	optimum	NOUN
ejpam-7170	137	26	.	.	PUNCT
ejpam-7170	138	1	this	this	DET
ejpam-7170	138	2	approach	approach	NOUN
ejpam-7170	138	3	offers	offer	VERB
ejpam-7170	138	4	several	several	ADJ
ejpam-7170	138	5	advantages	advantage	NOUN
ejpam-7170	138	6	for	for	ADP
ejpam-7170	138	7	multiobjective	multiobjective	ADJ
ejpam-7170	138	8	optimization	optimization	NOUN
ejpam-7170	138	9	:	:	PUNCT
ejpam-7170	138	10	it	it	PRON
ejpam-7170	138	11	can	can	AUX
ejpam-7170	138	12	handle	handle	VERB
ejpam-7170	138	13	complex	complex	ADJ
ejpam-7170	138	14	,	,	PUNCT
ejpam-7170	138	15	nonlinear	nonlinear	ADJ
ejpam-7170	138	16	,	,	PUNCT
ejpam-7170	138	17	and	and	CCONJ
ejpam-7170	138	18	discrete	discrete	ADJ
ejpam-7170	138	19	search	search	NOUN
ejpam-7170	138	20	spaces	space	NOUN
ejpam-7170	138	21	,	,	PUNCT
ejpam-7170	138	22	maintain	maintain	VERB
ejpam-7170	138	23	a	a	DET
ejpam-7170	138	24	diverse	diverse	ADJ
ejpam-7170	138	25	population	population	NOUN
ejpam-7170	138	26	to	to	PART
ejpam-7170	138	27	provide	provide	VERB
ejpam-7170	138	28	multiple	multiple	ADJ
ejpam-7170	138	29	trade	trade	NOUN
ejpam-7170	138	30	-	-	PUNCT
ejpam-7170	138	31	off	off	ADP
ejpam-7170	138	32	solutions	solution	NOUN
ejpam-7170	138	33	,	,	PUNCT
ejpam-7170	138	34	and	and	CCONJ
ejpam-7170	138	35	offers	offer	VERB
ejpam-7170	138	36	flexibility	flexibility	NOUN
ejpam-7170	138	37	in	in	ADP
ejpam-7170	138	38	incorporating	incorporate	VERB
ejpam-7170	138	39	constraints	constraint	NOUN
ejpam-7170	138	40	and	and	CCONJ
ejpam-7170	138	41	hybrid	hybrid	ADJ
ejpam-7170	138	42	strategies	strategy	NOUN
ejpam-7170	138	43	.	.	PUNCT
ejpam-7170	139	1	m.a	m.a	PROPN
ejpam-7170	139	2	.	.	PROPN
ejpam-7170	139	3	el	el	PROPN
ejpam-7170	139	4	-	-	PROPN
ejpam-7170	139	5	shorbagy	shorbagy	PROPN
ejpam-7170	139	6	et	et	PROPN
ejpam-7170	139	7	al	al	PROPN
ejpam-7170	139	8	.	.	PUNCT
ejpam-7170	139	9	/	/	SYM
ejpam-7170	139	10	eur	eur	PROPN
ejpam-7170	139	11	.	.	PUNCT
ejpam-7170	140	1	j.	j.	PROPN
ejpam-7170	140	2	pure	pure	PROPN
ejpam-7170	140	3	appl	appl	PROPN
ejpam-7170	140	4	.	.	PROPN
ejpam-7170	140	5	math	math	PROPN
ejpam-7170	140	6	,	,	PUNCT
ejpam-7170	140	7	18	18	NUM
ejpam-7170	140	8	(	(	PUNCT
ejpam-7170	140	9	4	4	NUM
ejpam-7170	140	10	)	)	PUNCT
ejpam-7170	140	11	(	(	PUNCT
ejpam-7170	140	12	2025	2025	NUM
ejpam-7170	140	13	)	)	PUNCT
ejpam-7170	140	14	,	,	PUNCT
ejpam-7170	140	15	7170	7170	NUM
ejpam-7170	140	16	7	7	NUM
ejpam-7170	140	17	of	of	ADP
ejpam-7170	140	18	21	21	NUM
ejpam-7170	140	19	figure	figure	NOUN
ejpam-7170	140	20	1	1	NUM
ejpam-7170	140	21	:	:	PUNCT
ejpam-7170	140	22	ga	ga	NOUN
ejpam-7170	140	23	main	main	ADJ
ejpam-7170	140	24	flow	flow	NOUN
ejpam-7170	140	25	diagram	diagram	NOUN
ejpam-7170	140	26	.	.	PUNCT
ejpam-7170	141	1	4	4	X
ejpam-7170	141	2	.	.	X
ejpam-7170	141	3	the	the	DET
ejpam-7170	141	4	proposed	propose	VERB
ejpam-7170	141	5	algorithm	algorithm	NOUN
ejpam-7170	141	6	we	we	PRON
ejpam-7170	141	7	present	present	VERB
ejpam-7170	141	8	the	the	DET
ejpam-7170	141	9	genetic	genetic	ADJ
ejpam-7170	141	10	algorithm	algorithm	NOUN
ejpam-7170	141	11	with	with	ADP
ejpam-7170	141	12	hybrid	hybrid	ADJ
ejpam-7170	141	13	mutation	mutation	NOUN
ejpam-7170	141	14	(	(	PUNCT
ejpam-7170	141	15	ga	ga	NOUN
ejpam-7170	141	16	-	-	PUNCT
ejpam-7170	141	17	hm	hm	NOUN
ejpam-7170	141	18	)	)	PUNCT
ejpam-7170	141	19	as	as	ADP
ejpam-7170	141	20	a	a	DET
ejpam-7170	141	21	solution	solution	NOUN
ejpam-7170	141	22	to	to	ADP
ejpam-7170	141	23	morap	morap	NOUN
ejpam-7170	141	24	in	in	ADP
ejpam-7170	141	25	this	this	DET
ejpam-7170	141	26	study	study	NOUN
ejpam-7170	141	27	.	.	PUNCT
ejpam-7170	142	1	during	during	ADP
ejpam-7170	142	2	the	the	DET
ejpam-7170	142	3	hybrid	hybrid	ADJ
ejpam-7170	142	4	mutation	mutation	NOUN
ejpam-7170	142	5	stage	stage	NOUN
ejpam-7170	142	6	,	,	PUNCT
ejpam-7170	142	7	diversity	diversity	NOUN
ejpam-7170	142	8	is	be	AUX
ejpam-7170	142	9	maintained	maintain	VERB
ejpam-7170	142	10	and	and	CCONJ
ejpam-7170	142	11	introduced	introduce	VERB
ejpam-7170	142	12	.	.	PUNCT
ejpam-7170	143	1	this	this	PRON
ejpam-7170	143	2	helps	help	VERB
ejpam-7170	143	3	the	the	DET
ejpam-7170	143	4	algorithm	algorithm	NOUN
ejpam-7170	143	5	avoid	avoid	VERB
ejpam-7170	143	6	local	local	ADJ
ejpam-7170	143	7	minima	minima	NOUN
ejpam-7170	143	8	when	when	SCONJ
ejpam-7170	143	9	evolution	evolution	NOUN
ejpam-7170	143	10	is	be	AUX
ejpam-7170	143	11	slowed	slow	VERB
ejpam-7170	143	12	or	or	CCONJ
ejpam-7170	143	13	halted	halt	VERB
ejpam-7170	143	14	due	due	ADJ
ejpam-7170	143	15	to	to	ADP
ejpam-7170	143	16	chromosomes	chromosome	NOUN
ejpam-7170	143	17	population	population	NOUN
ejpam-7170	143	18	homogeneity	homogeneity	NOUN
ejpam-7170	143	19	.	.	PUNCT
ejpam-7170	144	1	there	there	PRON
ejpam-7170	144	2	are	be	VERB
ejpam-7170	144	3	numerous	numerous	ADJ
ejpam-7170	144	4	stages	stage	NOUN
ejpam-7170	144	5	to	to	ADP
ejpam-7170	144	6	ga	ga	PROPN
ejpam-7170	144	7	-	-	PUNCT
ejpam-7170	144	8	hm	hm	PROPN
ejpam-7170	144	9	.	.	PUNCT
ejpam-7170	145	1	the	the	DET
ejpam-7170	145	2	following	follow	VERB
ejpam-7170	145	3	subsections	subsection	NOUN
ejpam-7170	145	4	elaborate	elaborate	VERB
ejpam-7170	145	5	on	on	ADP
ejpam-7170	145	6	them	they	PRON
ejpam-7170	145	7	.	.	PUNCT
ejpam-7170	146	1	step	step	NOUN
ejpam-7170	146	2	1	1	NUM
ejpam-7170	146	3	:	:	PUNCT
ejpam-7170	146	4	initialization	initialization	NOUN
ejpam-7170	146	5	phase	phase	NOUN
ejpam-7170	146	6	the	the	DET
ejpam-7170	146	7	goal	goal	NOUN
ejpam-7170	146	8	of	of	ADP
ejpam-7170	146	9	morap	morap	NOUN
ejpam-7170	146	10	is	be	AUX
ejpam-7170	146	11	to	to	PART
ejpam-7170	146	12	discover	discover	VERB
ejpam-7170	146	13	the	the	DET
ejpam-7170	146	14	most	most	ADV
ejpam-7170	146	15	efficient	efficient	ADJ
ejpam-7170	146	16	and	and	CCONJ
ejpam-7170	146	17	least	least	ADV
ejpam-7170	146	18	expensive	expensive	ADJ
ejpam-7170	146	19	route	route	NOUN
ejpam-7170	146	20	between	between	ADP
ejpam-7170	146	21	two	two	NUM
ejpam-7170	146	22	nodes	node	NOUN
ejpam-7170	146	23	,	,	PUNCT
ejpam-7170	146	24	the	the	DET
ejpam-7170	146	25	source	source	NOUN
ejpam-7170	146	26	node	node	NOUN
ejpam-7170	146	27	(	(	PUNCT
ejpam-7170	146	28	s	s	NOUN
ejpam-7170	146	29	)	)	PUNCT
ejpam-7170	146	30	and	and	CCONJ
ejpam-7170	146	31	the	the	DET
ejpam-7170	146	32	terminal	terminal	ADJ
ejpam-7170	146	33	node	node	NOUN
ejpam-7170	146	34	(	(	PUNCT
ejpam-7170	146	35	t	t	PROPN
ejpam-7170	146	36	)	)	PUNCT
ejpam-7170	146	37	.	.	PUNCT
ejpam-7170	147	1	the	the	DET
ejpam-7170	147	2	set	set	NOUN
ejpam-7170	147	3	of	of	ADP
ejpam-7170	147	4	arcs	arc	NOUN
ejpam-7170	147	5	(	(	PUNCT
ejpam-7170	147	6	s	s	X
ejpam-7170	147	7	,	,	PUNCT
ejpam-7170	147	8	x1	x1	PROPN
ejpam-7170	147	9	m	m	NOUN
ejpam-7170	147	10	)	)	PUNCT
ejpam-7170	147	11	,	,	PUNCT
ejpam-7170	147	12	(	(	PUNCT
ejpam-7170	147	13	x1	x1	NOUN
ejpam-7170	147	14	m	m	PROPN
ejpam-7170	147	15	,	,	PUNCT
ejpam-7170	147	16	x2	x2	PROPN
ejpam-7170	147	17	m	m	PROPN
ejpam-7170	147	18	)	)	PUNCT
ejpam-7170	147	19	,	,	PUNCT
ejpam-7170	147	20	.	.	PUNCT
ejpam-7170	147	21	.	.	PUNCT
ejpam-7170	147	22	.	.	PUNCT
ejpam-7170	148	1	,	,	PUNCT
ejpam-7170	148	2	(	(	PUNCT
ejpam-7170	148	3	x(n−1)m	x(n−1)m	NOUN
ejpam-7170	148	4	,	,	PUNCT
ejpam-7170	148	5	t	t	PROPN
ejpam-7170	148	6	)	)	PUNCT
ejpam-7170	148	7	,	,	PUNCT
ejpam-7170	148	8	constitutes	constitute	VERB
ejpam-7170	148	9	routes	route	NOUN
ejpam-7170	148	10	from	from	ADP
ejpam-7170	148	11	node	node	NOUN
ejpam-7170	148	12	s	s	NOUN
ejpam-7170	148	13	to	to	PART
ejpam-7170	148	14	node	node	VERB
ejpam-7170	148	15	t.	t.	PROPN
ejpam-7170	148	16	a	a	DET
ejpam-7170	148	17	path	path	NOUN
ejpam-7170	148	18	from	from	ADP
ejpam-7170	148	19	node	node	NOUN
ejpam-7170	148	20	s	s	NOUN
ejpam-7170	148	21	to	to	PART
ejpam-7170	148	22	node	node	PROPN
ejpam-7170	148	23	t	t	PROPN
ejpam-7170	148	24	is	be	AUX
ejpam-7170	148	25	a	a	DET
ejpam-7170	148	26	sequence	sequence	NOUN
ejpam-7170	148	27	of	of	ADP
ejpam-7170	148	28	nodes	node	NOUN
ejpam-7170	148	29	(	(	PUNCT
ejpam-7170	148	30	s	s	X
ejpam-7170	148	31	,	,	PUNCT
ejpam-7170	148	32	x1	x1	PROPN
ejpam-7170	148	33	m	m	NOUN
ejpam-7170	148	34	)	)	PUNCT
ejpam-7170	148	35	,	,	PUNCT
ejpam-7170	148	36	(	(	PUNCT
ejpam-7170	148	37	x1	x1	NOUN
ejpam-7170	148	38	m	m	PROPN
ejpam-7170	148	39	,	,	PUNCT
ejpam-7170	148	40	x2	x2	PROPN
ejpam-7170	148	41	m	m	PROPN
ejpam-7170	148	42	)	)	PUNCT
ejpam-7170	148	43	,	,	PUNCT
ejpam-7170	148	44	.	.	PUNCT
ejpam-7170	148	45	.	.	PUNCT
ejpam-7170	149	1	.	.	PUNCT
ejpam-7170	150	1	,	,	PUNCT
ejpam-7170	150	2	(	(	PUNCT
ejpam-7170	150	3	x(n−1)m	x(n−1)m	NOUN
ejpam-7170	150	4	,	,	PUNCT
ejpam-7170	150	5	t	t	PROPN
ejpam-7170	150	6	)	)	PUNCT
ejpam-7170	150	7	.	.	PUNCT
ejpam-7170	151	1	the	the	DET
ejpam-7170	151	2	sequence	sequence	NOUN
ejpam-7170	151	3	of	of	ADP
ejpam-7170	151	4	nodes	node	NOUN
ejpam-7170	151	5	can	can	AUX
ejpam-7170	151	6	be	be	AUX
ejpam-7170	151	7	thought	think	VERB
ejpam-7170	151	8	of	of	ADP
ejpam-7170	151	9	as	as	ADP
ejpam-7170	151	10	an	an	DET
ejpam-7170	151	11	equivalent	equivalent	ADJ
ejpam-7170	151	12	representation	representation	NOUN
ejpam-7170	151	13	of	of	ADP
ejpam-7170	151	14	a	a	DET
ejpam-7170	151	15	path	path	NOUN
ejpam-7170	151	16	,	,	PUNCT
ejpam-7170	151	17	as	as	SCONJ
ejpam-7170	151	18	seen	see	VERB
ejpam-7170	151	19	in	in	ADP
ejpam-7170	151	20	figure	figure	NOUN
ejpam-7170	151	21	2	2	NUM
ejpam-7170	151	22	,	,	PUNCT
ejpam-7170	151	23	where	where	SCONJ
ejpam-7170	151	24	n	n	PRON
ejpam-7170	151	25	is	be	AUX
ejpam-7170	151	26	the	the	DET
ejpam-7170	151	27	number	number	NOUN
ejpam-7170	151	28	of	of	ADP
ejpam-7170	151	29	stages	stage	NOUN
ejpam-7170	151	30	(	(	PUNCT
ejpam-7170	151	31	districts	district	NOUN
ejpam-7170	151	32	)	)	PUNCT
ejpam-7170	151	33	and	and	CCONJ
ejpam-7170	151	34	m	m	NOUN
ejpam-7170	151	35	=	=	ADJ
ejpam-7170	151	36	1	1	NUM
ejpam-7170	151	37	,	,	PUNCT
ejpam-7170	151	38	2	2	NUM
ejpam-7170	151	39	,	,	PUNCT
ejpam-7170	151	40	.	.	PUNCT
ejpam-7170	151	41	.	.	PUNCT
ejpam-7170	151	42	.	.	PUNCT
ejpam-7170	152	1	,	,	PUNCT
ejpam-7170	152	2	m	m	VERB
ejpam-7170	153	1	[	[	X
ejpam-7170	153	2	23	23	NUM
ejpam-7170	153	3	]	]	PUNCT
ejpam-7170	153	4	.	.	PUNCT
ejpam-7170	154	1	consequently	consequently	ADV
ejpam-7170	154	2	,	,	PUNCT
ejpam-7170	154	3	the	the	DET
ejpam-7170	154	4	structure	structure	NOUN
ejpam-7170	154	5	of	of	ADP
ejpam-7170	154	6	each	each	DET
ejpam-7170	154	7	chromosome	chromosome	NOUN
ejpam-7170	154	8	can	can	AUX
ejpam-7170	154	9	be	be	AUX
ejpam-7170	154	10	represented	represent	VERB
ejpam-7170	154	11	as	as	ADP
ejpam-7170	154	12	a	a	DET
ejpam-7170	154	13	sequence	sequence	NOUN
ejpam-7170	154	14	of	of	ADP
ejpam-7170	154	15	nodes	node	NOUN
ejpam-7170	154	16	(	(	PUNCT
ejpam-7170	154	17	path	path	NOUN
ejpam-7170	154	18	)	)	PUNCT
ejpam-7170	154	19	.	.	PUNCT
ejpam-7170	155	1	here	here	ADV
ejpam-7170	155	2	,	,	PUNCT
ejpam-7170	155	3	the	the	DET
ejpam-7170	155	4	algorithm	algorithm	NOUN
ejpam-7170	155	5	creates	create	VERB
ejpam-7170	155	6	a	a	DET
ejpam-7170	155	7	starting	start	VERB
ejpam-7170	155	8	population	population	NOUN
ejpam-7170	155	9	p	p	NOUN
ejpam-7170	155	10	of	of	ADP
ejpam-7170	155	11	npop	npop	NOUN
ejpam-7170	155	12	chromosomes	chromosome	NOUN
ejpam-7170	155	13	.	.	PUNCT
ejpam-7170	156	1	according	accord	VERB
ejpam-7170	156	2	to	to	PART
ejpam-7170	156	3	figure	figure	VERB
ejpam-7170	156	4	3	3	NUM
ejpam-7170	156	5	elements	element	NOUN
ejpam-7170	156	6	are	be	AUX
ejpam-7170	156	7	chosen	choose	VERB
ejpam-7170	156	8	at	at	ADP
ejpam-7170	156	9	random	random	ADJ
ejpam-7170	156	10	from	from	ADP
ejpam-7170	156	11	the	the	DET
ejpam-7170	156	12	available	available	ADJ
ejpam-7170	156	13	numbers	number	NOUN
ejpam-7170	156	14	in	in	ADP
ejpam-7170	156	15	each	each	DET
ejpam-7170	156	16	district	district	NOUN
ejpam-7170	156	17	[	[	X
ejpam-7170	156	18	24	24	NUM
ejpam-7170	156	19	]	]	PUNCT
ejpam-7170	156	20	.	.	PUNCT
ejpam-7170	157	1	for	for	ADP
ejpam-7170	157	2	instance	instance	NOUN
ejpam-7170	157	3	,	,	PUNCT
ejpam-7170	157	4	in	in	ADP
ejpam-7170	157	5	morap	morap	NOUN
ejpam-7170	157	6	assigning	assign	VERB
ejpam-7170	157	7	three	three	NUM
ejpam-7170	157	8	workers	worker	NOUN
ejpam-7170	157	9	to	to	ADP
ejpam-7170	157	10	a	a	DET
ejpam-7170	157	11	specific	specific	ADJ
ejpam-7170	157	12	set	set	NOUN
ejpam-7170	157	13	of	of	ADP
ejpam-7170	157	14	four	four	NUM
ejpam-7170	157	15	jobs	job	NOUN
ejpam-7170	157	16	,	,	PUNCT
ejpam-7170	157	17	there	there	PRON
ejpam-7170	157	18	are	be	VERB
ejpam-7170	157	19	four	four	NUM
ejpam-7170	157	20	stages	stage	NOUN
ejpam-7170	157	21	.	.	PUNCT
ejpam-7170	158	1	the	the	DET
ejpam-7170	158	2	goal	goal	NOUN
ejpam-7170	158	3	of	of	ADP
ejpam-7170	158	4	multi	multi	ADJ
ejpam-7170	158	5	-	-	ADJ
ejpam-7170	158	6	objective	objective	ADJ
ejpam-7170	158	7	resource	resource	NOUN
ejpam-7170	158	8	allocation	allocation	NOUN
ejpam-7170	158	9	is	be	AUX
ejpam-7170	158	10	to	to	PART
ejpam-7170	158	11	find	find	VERB
ejpam-7170	158	12	the	the	DET
ejpam-7170	158	13	optimal	optimal	ADJ
ejpam-7170	158	14	four	four	NUM
ejpam-7170	158	15	-	-	PUNCT
ejpam-7170	158	16	stage	stage	NOUN
ejpam-7170	158	17	allocation	allocation	NOUN
ejpam-7170	158	18	path	path	NOUN
ejpam-7170	158	19	while	while	SCONJ
ejpam-7170	158	20	minimizing	minimize	VERB
ejpam-7170	158	21	costs	cost	NOUN
ejpam-7170	158	22	and	and	CCONJ
ejpam-7170	158	23	maximizing	maximize	VERB
ejpam-7170	158	24	profits	profit	NOUN
ejpam-7170	158	25	.	.	PUNCT
ejpam-7170	159	1	at	at	ADP
ejpam-7170	159	2	each	each	DET
ejpam-7170	159	3	stage	stage	NOUN
ejpam-7170	159	4	,	,	PUNCT
ejpam-7170	159	5	we	we	PRON
ejpam-7170	159	6	use	use	VERB
ejpam-7170	159	7	a	a	DET
ejpam-7170	159	8	random	random	ADJ
ejpam-7170	159	9	selection	selection	NOUN
ejpam-7170	159	10	element	element	NOUN
ejpam-7170	159	11	ranging	range	VERB
ejpam-7170	159	12	from	from	ADP
ejpam-7170	159	13	0	0	NUM
ejpam-7170	159	14	to	to	ADP
ejpam-7170	159	15	3	3	NUM
ejpam-7170	159	16	to	to	PART
ejpam-7170	159	17	create	create	VERB
ejpam-7170	159	18	an	an	DET
ejpam-7170	159	19	initial	initial	ADJ
ejpam-7170	159	20	population	population	NOUN
ejpam-7170	160	1	[	[	X
ejpam-7170	160	2	25	25	NUM
ejpam-7170	160	3	]	]	PUNCT
ejpam-7170	160	4	.	.	PUNCT
ejpam-7170	161	1	table	table	NOUN
ejpam-7170	161	2	1	1	NUM
ejpam-7170	161	3	shows	show	VERB
ejpam-7170	161	4	the	the	DET
ejpam-7170	161	5	four	four	NUM
ejpam-7170	161	6	-	-	PUNCT
ejpam-7170	161	7	stage	stage	NOUN
ejpam-7170	161	8	allocation	allocation	NOUN
ejpam-7170	161	9	path	path	NOUN
ejpam-7170	161	10	.	.	PUNCT
ejpam-7170	162	1	m.a	m.a	PROPN
ejpam-7170	162	2	.	.	PROPN
ejpam-7170	162	3	el	el	PROPN
ejpam-7170	162	4	-	-	PROPN
ejpam-7170	162	5	shorbagy	shorbagy	PROPN
ejpam-7170	162	6	et	et	PROPN
ejpam-7170	162	7	al	al	PROPN
ejpam-7170	162	8	.	.	PUNCT
ejpam-7170	162	9	/	/	SYM
ejpam-7170	162	10	eur	eur	PROPN
ejpam-7170	162	11	.	.	PUNCT
ejpam-7170	163	1	j.	j.	PROPN
ejpam-7170	163	2	pure	pure	PROPN
ejpam-7170	163	3	appl	appl	PROPN
ejpam-7170	163	4	.	.	PROPN
ejpam-7170	163	5	math	math	PROPN
ejpam-7170	163	6	,	,	PUNCT
ejpam-7170	163	7	18	18	NUM
ejpam-7170	163	8	(	(	PUNCT
ejpam-7170	163	9	4	4	NUM
ejpam-7170	163	10	)	)	PUNCT
ejpam-7170	163	11	(	(	PUNCT
ejpam-7170	163	12	2025	2025	NUM
ejpam-7170	163	13	)	)	PUNCT
ejpam-7170	163	14	,	,	PUNCT
ejpam-7170	163	15	7170	7170	NUM
ejpam-7170	163	16	8	8	NUM
ejpam-7170	163	17	of	of	ADP
ejpam-7170	163	18	21	21	NUM
ejpam-7170	163	19	figure	figure	NOUN
ejpam-7170	163	20	2	2	NUM
ejpam-7170	163	21	:	:	PUNCT
ejpam-7170	163	22	analysis	analysis	NOUN
ejpam-7170	163	23	of	of	ADP
ejpam-7170	163	24	morap	morap	NOUN
ejpam-7170	163	25	as	as	ADP
ejpam-7170	163	26	a	a	DET
ejpam-7170	163	27	network	network	NOUN
ejpam-7170	163	28	model	model	NOUN
ejpam-7170	163	29	.	.	PUNCT
ejpam-7170	164	1	step	step	NOUN
ejpam-7170	164	2	2	2	NUM
ejpam-7170	164	3	:	:	PUNCT
ejpam-7170	164	4	assessment	assessment	NOUN
ejpam-7170	164	5	of	of	ADP
ejpam-7170	164	6	solutions	solution	NOUN
ejpam-7170	164	7	in	in	ADP
ejpam-7170	164	8	this	this	DET
ejpam-7170	164	9	step	step	NOUN
ejpam-7170	164	10	,	,	PUNCT
ejpam-7170	164	11	the	the	DET
ejpam-7170	164	12	goal	goal	NOUN
ejpam-7170	164	13	function	function	VERB
ejpam-7170	164	14	values	value	NOUN
ejpam-7170	164	15	for	for	ADP
ejpam-7170	164	16	the	the	DET
ejpam-7170	164	17	produced	produce	VERB
ejpam-7170	164	18	strings	string	NOUN
ejpam-7170	164	19	are	be	AUX
ejpam-7170	164	20	obtained	obtain	VERB
ejpam-7170	164	21	.	.	PUNCT
ejpam-7170	165	1	no	no	DET
ejpam-7170	165	2	optimal	optimal	ADJ
ejpam-7170	165	3	solution	solution	NOUN
ejpam-7170	165	4	exists	exist	VERB
ejpam-7170	165	5	for	for	ADP
ejpam-7170	165	6	a	a	DET
ejpam-7170	165	7	multi	multi	ADJ
ejpam-7170	165	8	-	-	ADJ
ejpam-7170	165	9	objective	objective	ADJ
ejpam-7170	165	10	optimization	optimization	NOUN
ejpam-7170	165	11	problem	problem	NOUN
ejpam-7170	165	12	that	that	PRON
ejpam-7170	165	13	aims	aim	VERB
ejpam-7170	165	14	to	to	PART
ejpam-7170	165	15	maximize	maximize	VERB
ejpam-7170	165	16	all	all	DET
ejpam-7170	165	17	objectives	objective	NOUN
ejpam-7170	165	18	at	at	ADP
ejpam-7170	165	19	the	the	DET
ejpam-7170	165	20	same	same	ADJ
ejpam-7170	165	21	time	time	NOUN
ejpam-7170	165	22	.	.	PUNCT
ejpam-7170	166	1	in	in	ADP
ejpam-7170	166	2	such	such	ADJ
ejpam-7170	166	3	instances	instance	NOUN
ejpam-7170	166	4	,	,	PUNCT
ejpam-7170	166	5	there	there	PRON
ejpam-7170	166	6	is	be	VERB
ejpam-7170	166	7	a	a	DET
ejpam-7170	166	8	(	(	PUNCT
ejpam-7170	166	9	potentially	potentially	ADV
ejpam-7170	166	10	endless	endless	ADJ
ejpam-7170	166	11	)	)	PUNCT
ejpam-7170	166	12	number	number	NOUN
ejpam-7170	166	13	of	of	ADP
ejpam-7170	166	14	solutions	solution	NOUN
ejpam-7170	166	15	,	,	PUNCT
ejpam-7170	166	16	and	and	CCONJ
ejpam-7170	166	17	the	the	DET
ejpam-7170	166	18	goal	goal	NOUN
ejpam-7170	166	19	functions	function	NOUN
ejpam-7170	166	20	are	be	AUX
ejpam-7170	166	21	characterized	characterize	VERB
ejpam-7170	166	22	as	as	ADP
ejpam-7170	166	23	conflicting	conflict	VERB
ejpam-7170	166	24	with	with	ADP
ejpam-7170	166	25	one	one	NUM
ejpam-7170	166	26	another	another	DET
ejpam-7170	166	27	.	.	PUNCT
ejpam-7170	167	1	when	when	SCONJ
ejpam-7170	167	2	a	a	DET
ejpam-7170	167	3	solution	solution	NOUN
ejpam-7170	167	4	is	be	AUX
ejpam-7170	167	5	non	non	ADJ
ejpam-7170	167	6	-	-	ADJ
ejpam-7170	167	7	dominated	dominated	ADJ
ejpam-7170	167	8	and	and	CCONJ
ejpam-7170	167	9	pareto	pareto	ADJ
ejpam-7170	167	10	optimum	optimum	NOUN
ejpam-7170	167	11	,	,	PUNCT
ejpam-7170	167	12	we	we	PRON
ejpam-7170	167	13	say	say	VERB
ejpam-7170	167	14	that	that	SCONJ
ejpam-7170	167	15	it	it	PRON
ejpam-7170	167	16	exists	exist	VERB
ejpam-7170	167	17	[	[	X
ejpam-7170	167	18	18	18	NUM
ejpam-7170	167	19	]	]	PUNCT
ejpam-7170	167	20	.	.	PUNCT
ejpam-7170	168	1	therefore	therefore	ADV
ejpam-7170	168	2	,	,	PUNCT
ejpam-7170	168	3	sorting	sort	VERB
ejpam-7170	168	4	a	a	DET
ejpam-7170	168	5	population	population	NOUN
ejpam-7170	168	6	by	by	ADP
ejpam-7170	168	7	non	non	ADJ
ejpam-7170	168	8	-	-	NOUN
ejpam-7170	168	9	domination	domination	NOUN
ejpam-7170	168	10	is	be	AUX
ejpam-7170	168	11	essential	essential	ADJ
ejpam-7170	168	12	for	for	ADP
ejpam-7170	168	13	finding	find	VERB
ejpam-7170	168	14	the	the	DET
ejpam-7170	168	15	pareto	pareto	ADJ
ejpam-7170	168	16	optimal	optimal	ADJ
ejpam-7170	168	17	solutions	solution	NOUN
ejpam-7170	168	18	.	.	PUNCT
ejpam-7170	169	1	step	step	NOUN
ejpam-7170	169	2	3	3	NUM
ejpam-7170	169	3	:	:	PUNCT
ejpam-7170	169	4	categorizing	categorize	VERB
ejpam-7170	169	5	the	the	DET
ejpam-7170	169	6	population	population	NOUN
ejpam-7170	169	7	based	base	VERB
ejpam-7170	169	8	on	on	ADP
ejpam-7170	169	9	their	their	PRON
ejpam-7170	169	10	non	non	ADJ
ejpam-7170	169	11	-	-	ADJ
ejpam-7170	169	12	dominated	dominated	ADJ
ejpam-7170	169	13	solutions	solution	NOUN
ejpam-7170	169	14	.	.	PUNCT
ejpam-7170	170	1	table	table	NOUN
ejpam-7170	170	2	1	1	NUM
ejpam-7170	170	3	:	:	PUNCT
ejpam-7170	170	4	the	the	DET
ejpam-7170	170	5	four	four	NUM
ejpam-7170	170	6	-	-	PUNCT
ejpam-7170	170	7	stage	stage	NOUN
ejpam-7170	170	8	allocation	allocation	NOUN
ejpam-7170	170	9	path	path	NOUN
ejpam-7170	170	10	is	be	AUX
ejpam-7170	170	11	based	base	VERB
ejpam-7170	170	12	on	on	ADP
ejpam-7170	170	13	chromosomal	chromosomal	ADJ
ejpam-7170	170	14	structure	structure	NOUN
ejpam-7170	170	15	stage	stage	NOUN
ejpam-7170	170	16	(	(	PUNCT
ejpam-7170	170	17	index	index	NOUN
ejpam-7170	170	18	)	)	PUNCT
ejpam-7170	170	19	1	1	NUM
ejpam-7170	170	20	2	2	NUM
ejpam-7170	170	21	3	3	NUM
ejpam-7170	170	22	4	4	NUM
ejpam-7170	170	23	path	path	NOUN
ejpam-7170	170	24	selection	selection	NOUN
ejpam-7170	170	25	0	0	NUM
ejpam-7170	170	26	1	1	NUM
ejpam-7170	170	27	2	2	NUM
ejpam-7170	170	28	3	3	NUM
ejpam-7170	170	29	the	the	DET
ejpam-7170	170	30	route	route	NOUN
ejpam-7170	170	31	for	for	ADP
ejpam-7170	170	32	allocation	allocation	NOUN
ejpam-7170	171	1	10	10	NUM
ejpam-7170	171	2	21	21	NUM
ejpam-7170	171	3	32	32	NUM
ejpam-7170	171	4	43	43	NUM
ejpam-7170	171	5	m.a	m.a	PROPN
ejpam-7170	171	6	.	.	PROPN
ejpam-7170	171	7	el	el	PROPN
ejpam-7170	171	8	-	-	PROPN
ejpam-7170	171	9	shorbagy	shorbagy	PROPN
ejpam-7170	171	10	et	et	PROPN
ejpam-7170	171	11	al	al	PROPN
ejpam-7170	171	12	.	.	PUNCT
ejpam-7170	171	13	/	/	SYM
ejpam-7170	171	14	eur	eur	PROPN
ejpam-7170	171	15	.	.	PUNCT
ejpam-7170	172	1	j.	j.	PROPN
ejpam-7170	172	2	pure	pure	PROPN
ejpam-7170	172	3	appl	appl	PROPN
ejpam-7170	172	4	.	.	PROPN
ejpam-7170	172	5	math	math	PROPN
ejpam-7170	172	6	,	,	PUNCT
ejpam-7170	172	7	18	18	NUM
ejpam-7170	172	8	(	(	PUNCT
ejpam-7170	172	9	4	4	NUM
ejpam-7170	172	10	)	)	PUNCT
ejpam-7170	172	11	(	(	PUNCT
ejpam-7170	172	12	2025	2025	NUM
ejpam-7170	172	13	)	)	PUNCT
ejpam-7170	172	14	,	,	PUNCT
ejpam-7170	172	15	7170	7170	NUM
ejpam-7170	172	16	9	9	NUM
ejpam-7170	172	17	of	of	ADP
ejpam-7170	172	18	21	21	NUM
ejpam-7170	172	19	figure	figure	NOUN
ejpam-7170	172	20	3	3	NUM
ejpam-7170	172	21	:	:	PUNCT
ejpam-7170	172	22	a	a	DET
ejpam-7170	172	23	diagram	diagram	NOUN
ejpam-7170	172	24	shows	show	VERB
ejpam-7170	172	25	the	the	DET
ejpam-7170	172	26	best	good	ADJ
ejpam-7170	172	27	route	route	NOUN
ejpam-7170	172	28	for	for	ADP
ejpam-7170	172	29	allocation	allocation	NOUN
ejpam-7170	172	30	.	.	PUNCT
ejpam-7170	173	1	suppose	suppose	VERB
ejpam-7170	173	2	there	there	PRON
ejpam-7170	173	3	is	be	VERB
ejpam-7170	173	4	a	a	DET
ejpam-7170	173	5	population	population	NOUN
ejpam-7170	173	6	whose	whose	DET
ejpam-7170	173	7	members	member	NOUN
ejpam-7170	173	8	all	all	PRON
ejpam-7170	173	9	have	have	VERB
ejpam-7170	173	10	objective	objective	ADJ
ejpam-7170	173	11	function	function	NOUN
ejpam-7170	173	12	values	value	NOUN
ejpam-7170	173	13	of	of	ADP
ejpam-7170	173	14	q	q	PROPN
ejpam-7170	173	15	(	(	PUNCT
ejpam-7170	173	16	q	q	X
ejpam-7170	173	17	>	>	X
ejpam-7170	173	18	1	1	NUM
ejpam-7170	173	19	)	)	PUNCT
ejpam-7170	173	20	.	.	PUNCT
ejpam-7170	174	1	to	to	PART
ejpam-7170	174	2	locate	locate	VERB
ejpam-7170	174	3	the	the	DET
ejpam-7170	174	4	set	set	NOUN
ejpam-7170	174	5	of	of	ADP
ejpam-7170	174	6	solutions	solution	NOUN
ejpam-7170	174	7	that	that	PRON
ejpam-7170	174	8	are	be	AUX
ejpam-7170	174	9	not	not	PART
ejpam-7170	174	10	dominated	dominate	VERB
ejpam-7170	174	11	,	,	PUNCT
ejpam-7170	174	12	follow	follow	VERB
ejpam-7170	174	13	this	this	DET
ejpam-7170	174	14	technique	technique	NOUN
ejpam-7170	174	15	[	[	X
ejpam-7170	174	16	26	26	NUM
ejpam-7170	174	17	]	]	PUNCT
ejpam-7170	174	18	.	.	PUNCT
ejpam-7170	175	1	(	(	PUNCT
ejpam-7170	175	2	i	i	NOUN
ejpam-7170	175	3	)	)	PUNCT
ejpam-7170	175	4	start	start	VERB
ejpam-7170	175	5	with	with	ADP
ejpam-7170	175	6	r	r	NOUN
ejpam-7170	175	7	=	=	SYM
ejpam-7170	175	8	1	1	NUM
ejpam-7170	175	9	.	.	PUNCT
ejpam-7170	175	10	(	(	PUNCT
ejpam-7170	175	11	ii	ii	NOUN
ejpam-7170	175	12	)	)	PUNCT
ejpam-7170	175	13	for	for	ADP
ejpam-7170	175	14	all	all	DET
ejpam-7170	175	15	p	p	NOUN
ejpam-7170	175	16	=	=	ADJ
ejpam-7170	175	17	1	1	NUM
ejpam-7170	175	18	,	,	PUNCT
ejpam-7170	175	19	2	2	NUM
ejpam-7170	175	20	,	,	PUNCT
ejpam-7170	175	21	.	.	PUNCT
ejpam-7170	175	22	.	.	PUNCT
ejpam-7170	176	1	.	.	PUNCT
ejpam-7170	177	1	,	,	PUNCT
ejpam-7170	177	2	npop	npop	NOUN
ejpam-7170	177	3	and	and	CCONJ
ejpam-7170	177	4	r	r	NOUN
ejpam-7170	177	5	̸=	̸=	PROPN
ejpam-7170	177	6	p	p	NOUN
ejpam-7170	177	7	,	,	PUNCT
ejpam-7170	177	8	the	the	DET
ejpam-7170	177	9	solution	solution	NOUN
ejpam-7170	177	10	xr	xr	PROPN
ejpam-7170	177	11	is	be	AUX
ejpam-7170	177	12	said	say	VERB
ejpam-7170	177	13	to	to	PART
ejpam-7170	177	14	dominate	dominate	VERB
ejpam-7170	177	15	the	the	DET
ejpam-7170	177	16	solution	solution	NOUN
ejpam-7170	177	17	xp	xp	INTJ
ejpam-7170	178	1	if	if	SCONJ
ejpam-7170	178	2	the	the	DET
ejpam-7170	178	3	two	two	NUM
ejpam-7170	178	4	conditions	condition	NOUN
ejpam-7170	178	5	are	be	AUX
ejpam-7170	178	6	achieved	achieve	VERB
ejpam-7170	178	7	:	:	PUNCT
ejpam-7170	178	8	•	•	X
ejpam-7170	178	9	xr	xr	PROPN
ejpam-7170	178	10	is	be	AUX
ejpam-7170	178	11	no	no	ADV
ejpam-7170	178	12	worse	bad	ADJ
ejpam-7170	178	13	than	than	ADP
ejpam-7170	178	14	xp	xp	INTJ
ejpam-7170	178	15	in	in	ADP
ejpam-7170	178	16	all	all	DET
ejpam-7170	178	17	objectives	objective	NOUN
ejpam-7170	178	18	,	,	PUNCT
ejpam-7170	178	19	or	or	CCONJ
ejpam-7170	178	20	fq(xr	fq(xr	ADV
ejpam-7170	178	21	)	)	PUNCT
ejpam-7170	178	22	≤	≤	NUM
ejpam-7170	178	23	fq(xp	fq(xp	NOUN
ejpam-7170	178	24	)	)	PUNCT
ejpam-7170	178	25	,	,	PUNCT
ejpam-7170	178	26	∀q	∀q	PROPN
ejpam-7170	178	27	=	=	SYM
ejpam-7170	178	28	1	1	NUM
ejpam-7170	178	29	,	,	PUNCT
ejpam-7170	178	30	.	.	PUNCT
ejpam-7170	178	31	.	.	PUNCT
ejpam-7170	179	1	.	.	PUNCT
ejpam-7170	180	1	,	,	PUNCT
ejpam-7170	180	2	q.	q.	PROPN
ejpam-7170	180	3	•	•	NUM
ejpam-7170	181	1	the	the	DET
ejpam-7170	181	2	solution	solution	NOUN
ejpam-7170	181	3	xr	xr	PROPN
ejpam-7170	181	4	is	be	AUX
ejpam-7170	181	5	strictly	strictly	ADV
ejpam-7170	181	6	better	well	ADJ
ejpam-7170	181	7	than	than	SCONJ
ejpam-7170	181	8	xp	xp	INTJ
ejpam-7170	181	9	in	in	ADP
ejpam-7170	181	10	at	at	ADV
ejpam-7170	181	11	least	least	ADV
ejpam-7170	181	12	one	one	NUM
ejpam-7170	181	13	objective	objective	NOUN
ejpam-7170	181	14	,	,	PUNCT
ejpam-7170	181	15	or	or	CCONJ
ejpam-7170	181	16	fq(xr	fq(xr	ADV
ejpam-7170	181	17	)	)	PUNCT
ejpam-7170	181	18	<	<	X
ejpam-7170	181	19	fq(xp	fq(xp	PROPN
ejpam-7170	181	20	)	)	PUNCT
ejpam-7170	181	21	,	,	PUNCT
ejpam-7170	181	22	for	for	ADP
ejpam-7170	181	23	at	at	ADV
ejpam-7170	181	24	least	least	ADV
ejpam-7170	181	25	one	one	NUM
ejpam-7170	181	26	q	q	NOUN
ejpam-7170	181	27	∈	∈	PROPN
ejpam-7170	181	28	{	{	PUNCT
ejpam-7170	181	29	1	1	NUM
ejpam-7170	181	30	,	,	PUNCT
ejpam-7170	181	31	2	2	NUM
ejpam-7170	181	32	,	,	PUNCT
ejpam-7170	181	33	.	.	PUNCT
ejpam-7170	181	34	.	.	PUNCT
ejpam-7170	182	1	.	.	PUNCT
ejpam-7170	183	1	,	,	PUNCT
ejpam-7170	183	2	q	q	X
ejpam-7170	183	3	}	}	PUNCT
ejpam-7170	183	4	.	.	PUNCT
ejpam-7170	184	1	(	(	PUNCT
ejpam-7170	184	2	iii	iii	X
ejpam-7170	184	3	)	)	PUNCT
ejpam-7170	184	4	if	if	SCONJ
ejpam-7170	184	5	for	for	ADP
ejpam-7170	184	6	any	any	DET
ejpam-7170	184	7	p	p	NOUN
ejpam-7170	184	8	,	,	PUNCT
ejpam-7170	184	9	xp	xp	INTJ
ejpam-7170	184	10	is	be	AUX
ejpam-7170	184	11	dominated	dominate	VERB
ejpam-7170	184	12	by	by	ADP
ejpam-7170	184	13	xr	xr	PROPN
ejpam-7170	184	14	,	,	PUNCT
ejpam-7170	184	15	mark	mark	PROPN
ejpam-7170	184	16	xp	xp	INTJ
ejpam-7170	184	17	as	as	ADP
ejpam-7170	184	18	“	"	PUNCT
ejpam-7170	184	19	dominated	dominate	VERB
ejpam-7170	184	20	”	"	PUNCT
ejpam-7170	184	21	,	,	PUNCT
ejpam-7170	184	22	and	and	CCONJ
ejpam-7170	184	23	it	it	PRON
ejpam-7170	184	24	is	be	AUX
ejpam-7170	184	25	inefficient	inefficient	ADJ
ejpam-7170	184	26	.	.	PUNCT
ejpam-7170	185	1	(	(	PUNCT
ejpam-7170	185	2	iv	iv	X
ejpam-7170	185	3	)	)	PUNCT
ejpam-7170	185	4	if	if	SCONJ
ejpam-7170	185	5	all	all	DET
ejpam-7170	185	6	solutions	solution	NOUN
ejpam-7170	185	7	(	(	PUNCT
ejpam-7170	185	8	that	that	PRON
ejpam-7170	185	9	is	is	ADV
ejpam-7170	185	10	,	,	PUNCT
ejpam-7170	185	11	when	when	SCONJ
ejpam-7170	185	12	r	r	NOUN
ejpam-7170	185	13	=	=	SYM
ejpam-7170	185	14	npop	npop	NOUN
ejpam-7170	185	15	is	be	AUX
ejpam-7170	185	16	reached	reach	VERB
ejpam-7170	185	17	)	)	PUNCT
ejpam-7170	185	18	in	in	ADP
ejpam-7170	185	19	the	the	DET
ejpam-7170	185	20	set	set	NOUN
ejpam-7170	185	21	are	be	AUX
ejpam-7170	185	22	considered	consider	VERB
ejpam-7170	185	23	,	,	PUNCT
ejpam-7170	185	24	go	go	VERB
ejpam-7170	185	25	to	to	ADP
ejpam-7170	185	26	(	(	PUNCT
ejpam-7170	185	27	v	v	NOUN
ejpam-7170	185	28	)	)	PUNCT
ejpam-7170	185	29	.	.	PUNCT
ejpam-7170	186	1	otherwise	otherwise	ADV
ejpam-7170	186	2	,	,	PUNCT
ejpam-7170	186	3	increment	increment	VERB
ejpam-7170	186	4	r	r	NOUN
ejpam-7170	186	5	by	by	ADP
ejpam-7170	186	6	one	one	NUM
ejpam-7170	186	7	and	and	CCONJ
ejpam-7170	186	8	go	go	VERB
ejpam-7170	186	9	to	to	ADP
ejpam-7170	186	10	(	(	PUNCT
ejpam-7170	186	11	ii	ii	NOUN
ejpam-7170	186	12	)	)	PUNCT
ejpam-7170	186	13	.	.	PUNCT
ejpam-7170	187	1	(	(	PUNCT
ejpam-7170	187	2	v	v	X
ejpam-7170	187	3	)	)	PUNCT
ejpam-7170	187	4	the	the	DET
ejpam-7170	187	5	solutions	solution	NOUN
ejpam-7170	187	6	which	which	PRON
ejpam-7170	187	7	are	be	AUX
ejpam-7170	187	8	not	not	PART
ejpam-7170	187	9	assigned	assign	VERB
ejpam-7170	187	10	“	"	PUNCT
ejpam-7170	187	11	dominated	dominate	VERB
ejpam-7170	187	12	”	"	PUNCT
ejpam-7170	187	13	are	be	AUX
ejpam-7170	187	14	assigned	assign	VERB
ejpam-7170	187	15	as	as	ADP
ejpam-7170	187	16	non	non	ADJ
ejpam-7170	187	17	-	-	ADJ
ejpam-7170	187	18	dominated	dominated	ADJ
ejpam-7170	187	19	solutions	solution	NOUN
ejpam-7170	187	20	.	.	PUNCT
ejpam-7170	188	1	m.a	m.a	PROPN
ejpam-7170	188	2	.	.	PROPN
ejpam-7170	188	3	el	el	PROPN
ejpam-7170	188	4	-	-	PROPN
ejpam-7170	188	5	shorbagy	shorbagy	PROPN
ejpam-7170	188	6	et	et	PROPN
ejpam-7170	188	7	al	al	PROPN
ejpam-7170	188	8	.	.	PUNCT
ejpam-7170	188	9	/	/	SYM
ejpam-7170	188	10	eur	eur	PROPN
ejpam-7170	188	11	.	.	PUNCT
ejpam-7170	189	1	j.	j.	PROPN
ejpam-7170	189	2	pure	pure	PROPN
ejpam-7170	189	3	appl	appl	PROPN
ejpam-7170	189	4	.	.	PROPN
ejpam-7170	189	5	math	math	PROPN
ejpam-7170	189	6	,	,	PUNCT
ejpam-7170	189	7	18	18	NUM
ejpam-7170	189	8	(	(	PUNCT
ejpam-7170	189	9	4	4	NUM
ejpam-7170	189	10	)	)	PUNCT
ejpam-7170	189	11	(	(	PUNCT
ejpam-7170	189	12	2025	2025	NUM
ejpam-7170	189	13	)	)	PUNCT
ejpam-7170	189	14	,	,	PUNCT
ejpam-7170	189	15	7170	7170	NUM
ejpam-7170	189	16	10	10	NUM
ejpam-7170	189	17	of	of	ADP
ejpam-7170	189	18	21	21	NUM
ejpam-7170	189	19	the	the	DET
ejpam-7170	189	20	non	non	ADJ
ejpam-7170	189	21	-	-	ADJ
ejpam-7170	189	22	dominated	dominated	ADJ
ejpam-7170	189	23	front	front	NOUN
ejpam-7170	189	24	in	in	ADP
ejpam-7170	189	25	the	the	DET
ejpam-7170	189	26	population	population	NOUN
ejpam-7170	189	27	of	of	ADP
ejpam-7170	189	28	that	that	DET
ejpam-7170	189	29	generation	generation	NOUN
ejpam-7170	189	30	is	be	AUX
ejpam-7170	189	31	composed	compose	VERB
ejpam-7170	189	32	of	of	ADP
ejpam-7170	189	33	all	all	DET
ejpam-7170	189	34	these	these	DET
ejpam-7170	189	35	non	non	ADJ
ejpam-7170	189	36	-	-	ADJ
ejpam-7170	189	37	dominated	dominated	ADJ
ejpam-7170	189	38	solutions	solution	NOUN
ejpam-7170	189	39	.	.	PUNCT
ejpam-7170	190	1	if	if	SCONJ
ejpam-7170	190	2	the	the	DET
ejpam-7170	190	3	stopping	stopping	NOUN
ejpam-7170	190	4	criterion	criterion	NOUN
ejpam-7170	190	5	is	be	AUX
ejpam-7170	190	6	reached	reach	VERB
ejpam-7170	190	7	,	,	PUNCT
ejpam-7170	190	8	use	use	VERB
ejpam-7170	190	9	the	the	DET
ejpam-7170	190	10	non	non	ADJ
ejpam-7170	190	11	-	-	ADJ
ejpam-7170	190	12	dominated	dominate	VERB
ejpam-7170	190	13	solutions	solution	NOUN
ejpam-7170	190	14	to	to	PART
ejpam-7170	190	15	proceed	proceed	VERB
ejpam-7170	190	16	to	to	ADP
ejpam-7170	190	17	dm	dm	PROPN
ejpam-7170	190	18	;	;	PUNCT
ejpam-7170	190	19	otherwise	otherwise	ADV
ejpam-7170	190	20	,	,	PUNCT
ejpam-7170	190	21	continue	continue	VERB
ejpam-7170	190	22	to	to	ADP
ejpam-7170	190	23	the	the	DET
ejpam-7170	190	24	following	follow	VERB
ejpam-7170	190	25	step	step	NOUN
ejpam-7170	190	26	.	.	PUNCT
ejpam-7170	191	1	step	step	NOUN
ejpam-7170	191	2	4	4	NUM
ejpam-7170	191	3	:	:	PUNCT
ejpam-7170	191	4	stage	stage	NOUN
ejpam-7170	191	5	of	of	ADP
ejpam-7170	191	6	selection	selection	NOUN
ejpam-7170	191	7	the	the	DET
ejpam-7170	191	8	primary	primary	ADJ
ejpam-7170	191	9	goal	goal	NOUN
ejpam-7170	191	10	of	of	ADP
ejpam-7170	191	11	the	the	DET
ejpam-7170	191	12	selection	selection	NOUN
ejpam-7170	191	13	phase	phase	NOUN
ejpam-7170	191	14	,	,	PUNCT
ejpam-7170	191	15	also	also	ADV
ejpam-7170	191	16	known	know	VERB
ejpam-7170	191	17	as	as	ADP
ejpam-7170	191	18	the	the	DET
ejpam-7170	191	19	parent	parent	NOUN
ejpam-7170	191	20	selection	selection	NOUN
ejpam-7170	191	21	phase	phase	NOUN
ejpam-7170	191	22	,	,	PUNCT
ejpam-7170	191	23	is	be	AUX
ejpam-7170	191	24	to	to	PART
ejpam-7170	191	25	identify	identify	VERB
ejpam-7170	191	26	the	the	DET
ejpam-7170	191	27	people	people	NOUN
ejpam-7170	191	28	with	with	ADP
ejpam-7170	191	29	the	the	DET
ejpam-7170	191	30	greatest	great	ADJ
ejpam-7170	191	31	potential	potential	NOUN
ejpam-7170	191	32	and	and	CCONJ
ejpam-7170	191	33	pass	pass	VERB
ejpam-7170	191	34	their	their	PRON
ejpam-7170	191	35	genes	gene	NOUN
ejpam-7170	191	36	on	on	ADP
ejpam-7170	191	37	to	to	ADP
ejpam-7170	191	38	subsequent	subsequent	ADJ
ejpam-7170	191	39	generations	generation	NOUN
ejpam-7170	192	1	[	[	X
ejpam-7170	192	2	24	24	NUM
ejpam-7170	192	3	]	]	PUNCT
ejpam-7170	192	4	.	.	PUNCT
ejpam-7170	193	1	by	by	ADP
ejpam-7170	193	2	increasing	increase	VERB
ejpam-7170	193	3	the	the	DET
ejpam-7170	193	4	likelihood	likelihood	NOUN
ejpam-7170	193	5	that	that	SCONJ
ejpam-7170	193	6	the	the	DET
ejpam-7170	193	7	best	good	ADJ
ejpam-7170	193	8	chromosomes	chromosome	NOUN
ejpam-7170	193	9	will	will	AUX
ejpam-7170	193	10	be	be	AUX
ejpam-7170	193	11	passed	pass	VERB
ejpam-7170	193	12	down	down	ADP
ejpam-7170	193	13	to	to	ADP
ejpam-7170	193	14	future	future	ADJ
ejpam-7170	193	15	generations	generation	NOUN
ejpam-7170	193	16	,	,	PUNCT
ejpam-7170	193	17	the	the	DET
ejpam-7170	193	18	selection	selection	NOUN
ejpam-7170	193	19	(	(	PUNCT
ejpam-7170	193	20	reproduction	reproduction	NOUN
ejpam-7170	193	21	)	)	PUNCT
ejpam-7170	193	22	operator	operator	NOUN
ejpam-7170	193	23	aims	aim	VERB
ejpam-7170	193	24	to	to	PART
ejpam-7170	193	25	raise	raise	VERB
ejpam-7170	193	26	the	the	DET
ejpam-7170	193	27	population	population	NOUN
ejpam-7170	193	28	’s	’s	PART
ejpam-7170	193	29	average	average	ADJ
ejpam-7170	193	30	quality	quality	NOUN
ejpam-7170	193	31	[	[	X
ejpam-7170	193	32	27	27	NUM
ejpam-7170	193	33	]	]	PUNCT
ejpam-7170	193	34	.	.	PUNCT
ejpam-7170	194	1	the	the	DET
ejpam-7170	194	2	proposed	propose	VERB
ejpam-7170	194	3	algorithm	algorithm	NOUN
ejpam-7170	194	4	uses	use	VERB
ejpam-7170	194	5	a	a	DET
ejpam-7170	194	6	tournament	tournament	NOUN
ejpam-7170	194	7	selection	selection	NOUN
ejpam-7170	194	8	method	method	NOUN
ejpam-7170	194	9	,	,	PUNCT
ejpam-7170	194	10	in	in	ADP
ejpam-7170	194	11	which	which	PRON
ejpam-7170	194	12	ns	ns	NUM
ejpam-7170	194	13	chromosomes	chromosome	NOUN
ejpam-7170	194	14	,	,	PUNCT
ejpam-7170	194	15	at	at	ADP
ejpam-7170	194	16	random	random	ADJ
ejpam-7170	194	17	,	,	PUNCT
ejpam-7170	194	18	are	be	AUX
ejpam-7170	194	19	chosen	choose	VERB
ejpam-7170	194	20	from	from	ADP
ejpam-7170	194	21	the	the	DET
ejpam-7170	194	22	population	population	NOUN
ejpam-7170	194	23	,	,	PUNCT
ejpam-7170	194	24	and	and	CCONJ
ejpam-7170	194	25	the	the	DET
ejpam-7170	194	26	chromosome	chromosome	NOUN
ejpam-7170	194	27	with	with	ADP
ejpam-7170	194	28	the	the	DET
ejpam-7170	194	29	highest	high	ADJ
ejpam-7170	194	30	fitness	fitness	NOUN
ejpam-7170	194	31	wins	win	NOUN
ejpam-7170	194	32	and	and	CCONJ
ejpam-7170	194	33	is	be	AUX
ejpam-7170	194	34	added	add	VERB
ejpam-7170	194	35	to	to	ADP
ejpam-7170	194	36	the	the	DET
ejpam-7170	194	37	population	population	NOUN
ejpam-7170	194	38	of	of	ADP
ejpam-7170	194	39	the	the	DET
ejpam-7170	194	40	following	follow	VERB
ejpam-7170	194	41	generation	generation	NOUN
ejpam-7170	194	42	.	.	PUNCT
ejpam-7170	195	1	step	step	NOUN
ejpam-7170	195	2	5	5	NUM
ejpam-7170	195	3	:	:	PUNCT
ejpam-7170	195	4	operator	operator	NOUN
ejpam-7170	195	5	of	of	ADP
ejpam-7170	195	6	crossover	crossover	NOUN
ejpam-7170	195	7	the	the	DET
ejpam-7170	195	8	purpose	purpose	NOUN
ejpam-7170	195	9	of	of	ADP
ejpam-7170	195	10	chromosomal	chromosomal	ADJ
ejpam-7170	195	11	crossover	crossover	NOUN
ejpam-7170	195	12	is	be	AUX
ejpam-7170	195	13	to	to	PART
ejpam-7170	195	14	transfer	transfer	VERB
ejpam-7170	195	15	genetic	genetic	ADJ
ejpam-7170	195	16	information	information	NOUN
ejpam-7170	195	17	from	from	ADP
ejpam-7170	195	18	one	one	NUM
ejpam-7170	195	19	generation	generation	NOUN
ejpam-7170	195	20	to	to	ADP
ejpam-7170	195	21	the	the	DET
ejpam-7170	195	22	next	next	ADJ
ejpam-7170	195	23	[	[	X
ejpam-7170	195	24	28	28	NUM
ejpam-7170	195	25	]	]	PUNCT
ejpam-7170	195	26	.	.	PUNCT
ejpam-7170	196	1	after	after	ADP
ejpam-7170	196	2	the	the	DET
ejpam-7170	196	3	selection	selection	NOUN
ejpam-7170	196	4	process	process	NOUN
ejpam-7170	196	5	,	,	PUNCT
ejpam-7170	196	6	pm×ns	pm×ns	PROPN
ejpam-7170	196	7	chromosomes	chromosome	NOUN
ejpam-7170	196	8	are	be	AUX
ejpam-7170	196	9	chosen	choose	VERB
ejpam-7170	196	10	for	for	ADP
ejpam-7170	196	11	crossover	crossover	NOUN
ejpam-7170	196	12	.	.	PUNCT
ejpam-7170	197	1	this	this	DET
ejpam-7170	197	2	study	study	NOUN
ejpam-7170	197	3	uses	use	VERB
ejpam-7170	197	4	uniform	uniform	NOUN
ejpam-7170	197	5	crossover	crossover	NOUN
ejpam-7170	197	6	operator	operator	NOUN
ejpam-7170	197	7	[	[	X
ejpam-7170	197	8	29	29	NUM
ejpam-7170	197	9	]	]	PUNCT
ejpam-7170	197	10	.	.	PUNCT
ejpam-7170	198	1	here	here	ADV
ejpam-7170	198	2	,	,	PUNCT
ejpam-7170	198	3	a	a	DET
ejpam-7170	198	4	chromosome	chromosome	NOUN
ejpam-7170	198	5	of	of	ADP
ejpam-7170	198	6	uniform	uniform	ADJ
ejpam-7170	198	7	size	size	NOUN
ejpam-7170	198	8	is	be	AUX
ejpam-7170	198	9	used	use	VERB
ejpam-7170	198	10	to	to	PART
ejpam-7170	198	11	generate	generate	VERB
ejpam-7170	198	12	a	a	DET
ejpam-7170	198	13	random	random	ADJ
ejpam-7170	198	14	binary	binary	ADJ
ejpam-7170	198	15	string	string	NOUN
ejpam-7170	198	16	.	.	PUNCT
ejpam-7170	199	1	the	the	DET
ejpam-7170	199	2	next	next	ADJ
ejpam-7170	199	3	step	step	NOUN
ejpam-7170	199	4	is	be	AUX
ejpam-7170	199	5	the	the	DET
ejpam-7170	199	6	exchange	exchange	NOUN
ejpam-7170	199	7	of	of	ADP
ejpam-7170	199	8	relative	relative	ADJ
ejpam-7170	199	9	genes	gene	NOUN
ejpam-7170	199	10	inside	inside	ADP
ejpam-7170	199	11	this	this	DET
ejpam-7170	199	12	binary	binary	ADJ
ejpam-7170	199	13	string	string	NOUN
ejpam-7170	199	14	between	between	ADP
ejpam-7170	199	15	parents	parent	NOUN
ejpam-7170	199	16	.	.	PUNCT
ejpam-7170	200	1	the	the	DET
ejpam-7170	200	2	bits	bit	NOUN
ejpam-7170	200	3	of	of	ADP
ejpam-7170	200	4	the	the	DET
ejpam-7170	200	5	parent	parent	NOUN
ejpam-7170	200	6	strings	string	NOUN
ejpam-7170	200	7	are	be	AUX
ejpam-7170	200	8	swapped	swap	VERB
ejpam-7170	200	9	at	at	ADP
ejpam-7170	200	10	the	the	DET
ejpam-7170	200	11	location	location	NOUN
ejpam-7170	200	12	in	in	ADP
ejpam-7170	200	13	the	the	DET
ejpam-7170	200	14	random	random	ADJ
ejpam-7170	200	15	binary	binary	NOUN
ejpam-7170	200	16	string	string	NOUN
ejpam-7170	200	17	that	that	PRON
ejpam-7170	200	18	corresponds	correspond	VERB
ejpam-7170	200	19	to	to	ADP
ejpam-7170	200	20	1	1	NUM
ejpam-7170	200	21	.	.	PUNCT
ejpam-7170	201	1	if	if	SCONJ
ejpam-7170	201	2	this	this	PRON
ejpam-7170	201	3	is	be	AUX
ejpam-7170	201	4	not	not	PART
ejpam-7170	201	5	the	the	DET
ejpam-7170	201	6	case	case	NOUN
ejpam-7170	201	7	,	,	PUNCT
ejpam-7170	201	8	then	then	ADV
ejpam-7170	201	9	no	no	DET
ejpam-7170	201	10	bit	bit	NOUN
ejpam-7170	201	11	exchange	exchange	NOUN
ejpam-7170	201	12	takes	take	VERB
ejpam-7170	201	13	place	place	NOUN
ejpam-7170	201	14	[	[	X
ejpam-7170	201	15	30	30	NUM
ejpam-7170	201	16	]	]	PUNCT
ejpam-7170	201	17	.	.	PUNCT
ejpam-7170	202	1	figure	figure	NOUN
ejpam-7170	202	2	4	4	NUM
ejpam-7170	202	3	illustrates	illustrate	VERB
ejpam-7170	202	4	how	how	SCONJ
ejpam-7170	202	5	chromosomes	chromosome	NOUN
ejpam-7170	202	6	from	from	ADP
ejpam-7170	202	7	two	two	NUM
ejpam-7170	202	8	parents	parent	NOUN
ejpam-7170	202	9	can	can	AUX
ejpam-7170	202	10	be	be	AUX
ejpam-7170	202	11	crossed	cross	VERB
ejpam-7170	202	12	to	to	PART
ejpam-7170	202	13	create	create	VERB
ejpam-7170	202	14	new	new	ADJ
ejpam-7170	202	15	chromosomes	chromosome	NOUN
ejpam-7170	202	16	.	.	PUNCT
ejpam-7170	203	1	figure	figure	VERB
ejpam-7170	203	2	4	4	NUM
ejpam-7170	203	3	:	:	PUNCT
ejpam-7170	203	4	the	the	DET
ejpam-7170	203	5	process	process	NOUN
ejpam-7170	203	6	of	of	ADP
ejpam-7170	203	7	crossover	crossover	NOUN
ejpam-7170	203	8	.	.	PUNCT
ejpam-7170	204	1	step	step	NOUN
ejpam-7170	204	2	6	6	NUM
ejpam-7170	204	3	:	:	PUNCT
ejpam-7170	204	4	the	the	DET
ejpam-7170	204	5	stage	stage	NOUN
ejpam-7170	204	6	of	of	ADP
ejpam-7170	204	7	hybrid	hybrid	ADJ
ejpam-7170	204	8	mutation	mutation	NOUN
ejpam-7170	204	9	together	together	ADV
ejpam-7170	204	10	,	,	PUNCT
ejpam-7170	204	11	the	the	DET
ejpam-7170	204	12	displacement	displacement	ADJ
ejpam-7170	204	13	mutation	mutation	NOUN
ejpam-7170	204	14	operator	operator	NOUN
ejpam-7170	204	15	and	and	CCONJ
ejpam-7170	204	16	the	the	DET
ejpam-7170	204	17	inversion	inversion	NOUN
ejpam-7170	204	18	mutation	mutation	NOUN
ejpam-7170	204	19	operator	operator	NOUN
ejpam-7170	204	20	[	[	X
ejpam-7170	204	21	31	31	NUM
ejpam-7170	204	22	]	]	PUNCT
ejpam-7170	204	23	form	form	NOUN
ejpam-7170	204	24	the	the	DET
ejpam-7170	204	25	basis	basis	NOUN
ejpam-7170	204	26	of	of	ADP
ejpam-7170	204	27	our	our	PRON
ejpam-7170	204	28	method	method	NOUN
ejpam-7170	204	29	.	.	PUNCT
ejpam-7170	205	1	by	by	ADP
ejpam-7170	205	2	providing	provide	VERB
ejpam-7170	205	3	variety	variety	NOUN
ejpam-7170	205	4	while	while	SCONJ
ejpam-7170	205	5	simultaneously	simultaneously	ADV
ejpam-7170	205	6	retaining	retain	VERB
ejpam-7170	205	7	it	it	PRON
ejpam-7170	205	8	,	,	PUNCT
ejpam-7170	205	9	hybrid	hybrid	ADJ
ejpam-7170	205	10	mutation	mutation	NOUN
ejpam-7170	205	11	helps	help	VERB
ejpam-7170	205	12	the	the	DET
ejpam-7170	205	13	algorithm	algorithm	NOUN
ejpam-7170	205	14	avoid	avoid	VERB
ejpam-7170	205	15	local	local	ADJ
ejpam-7170	205	16	minima	minima	NOUN
ejpam-7170	205	17	,	,	PUNCT
ejpam-7170	205	18	which	which	PRON
ejpam-7170	205	19	can	can	AUX
ejpam-7170	205	20	halt	halt	VERB
ejpam-7170	205	21	or	or	CCONJ
ejpam-7170	205	22	significantly	significantly	ADV
ejpam-7170	206	1	m.a	m.a	PROPN
ejpam-7170	206	2	.	.	PROPN
ejpam-7170	206	3	el	el	PROPN
ejpam-7170	206	4	-	-	PROPN
ejpam-7170	206	5	shorbagy	shorbagy	PROPN
ejpam-7170	206	6	et	et	PROPN
ejpam-7170	206	7	al	al	PROPN
ejpam-7170	206	8	.	.	PUNCT
ejpam-7170	206	9	/	/	SYM
ejpam-7170	206	10	eur	eur	PROPN
ejpam-7170	206	11	.	.	PUNCT
ejpam-7170	207	1	j.	j.	PROPN
ejpam-7170	207	2	pure	pure	PROPN
ejpam-7170	207	3	appl	appl	PROPN
ejpam-7170	207	4	.	.	PROPN
ejpam-7170	207	5	math	math	PROPN
ejpam-7170	207	6	,	,	PUNCT
ejpam-7170	207	7	18	18	NUM
ejpam-7170	207	8	(	(	PUNCT
ejpam-7170	207	9	4	4	NUM
ejpam-7170	207	10	)	)	PUNCT
ejpam-7170	207	11	(	(	PUNCT
ejpam-7170	207	12	2025	2025	NUM
ejpam-7170	207	13	)	)	PUNCT
ejpam-7170	207	14	,	,	PUNCT
ejpam-7170	207	15	7170	7170	NUM
ejpam-7170	207	16	11	11	NUM
ejpam-7170	207	17	of	of	ADP
ejpam-7170	207	18	21	21	NUM
ejpam-7170	207	19	impede	impede	PROPN
ejpam-7170	207	20	development	development	NOUN
ejpam-7170	207	21	.	.	PUNCT
ejpam-7170	208	1	so	so	ADV
ejpam-7170	208	2	,	,	PUNCT
ejpam-7170	208	3	after	after	ADP
ejpam-7170	208	4	performing	perform	VERB
ejpam-7170	208	5	the	the	DET
ejpam-7170	208	6	crossover	crossover	NOUN
ejpam-7170	208	7	,	,	PUNCT
ejpam-7170	208	8	only	only	ADV
ejpam-7170	208	9	a	a	DET
ejpam-7170	208	10	proportion	proportion	NOUN
ejpam-7170	208	11	nm	nm	NOUN
ejpam-7170	208	12	=	=	PUNCT
ejpam-7170	209	1	[	[	X
ejpam-7170	209	2	pm×	pm×	X
ejpam-7170	209	3	nc	nc	X
ejpam-7170	209	4	]	]	X
ejpam-7170	209	5	of	of	ADP
ejpam-7170	209	6	the	the	DET
ejpam-7170	209	7	resulting	result	VERB
ejpam-7170	209	8	nc	nc	PROPN
ejpam-7170	209	9	=	=	PUNCT
ejpam-7170	210	1	[	[	X
ejpam-7170	210	2	pc×ns	pc×ns	NOUN
ejpam-7170	210	3	]	]	PUNCT
ejpam-7170	210	4	offspring	offspring	NOUN
ejpam-7170	210	5	undergo	undergo	NOUN
ejpam-7170	210	6	mutation	mutation	NOUN
ejpam-7170	210	7	,	,	PUNCT
ejpam-7170	210	8	where	where	SCONJ
ejpam-7170	210	9	pm	pm	NOUN
ejpam-7170	210	10	is	be	AUX
ejpam-7170	210	11	the	the	DET
ejpam-7170	210	12	mutation	mutation	NOUN
ejpam-7170	210	13	probability	probability	NOUN
ejpam-7170	210	14	fraction	fraction	NOUN
ejpam-7170	210	15	of	of	ADP
ejpam-7170	210	16	offspring	offspring	NOUN
ejpam-7170	210	17	that	that	PRON
ejpam-7170	210	18	will	will	AUX
ejpam-7170	210	19	be	be	AUX
ejpam-7170	210	20	mutated	mutate	VERB
ejpam-7170	210	21	.	.	PUNCT
ejpam-7170	211	1	the	the	DET
ejpam-7170	211	2	mutation	mutation	NOUN
ejpam-7170	211	3	operation	operation	NOUN
ejpam-7170	211	4	is	be	AUX
ejpam-7170	211	5	as	as	SCONJ
ejpam-7170	211	6	follows	follow	VERB
ejpam-7170	211	7	:	:	PUNCT
ejpam-7170	211	8	(	(	PUNCT
ejpam-7170	211	9	i	i	NOUN
ejpam-7170	211	10	)	)	PUNCT
ejpam-7170	211	11	set	set	VERB
ejpam-7170	211	12	pm	pm	NOUN
ejpam-7170	211	13	and	and	CCONJ
ejpam-7170	211	14	nc	nc	NOUN
ejpam-7170	211	15	,	,	PUNCT
ejpam-7170	211	16	then	then	ADV
ejpam-7170	211	17	compute	compute	VERB
ejpam-7170	211	18	nm	nm	NOUN
ejpam-7170	211	19	=	=	PUNCT
ejpam-7170	212	1	[	[	X
ejpam-7170	212	2	pm	pm	NOUN
ejpam-7170	212	3	×nc	×nc	NOUN
ejpam-7170	212	4	]	]	PUNCT
ejpam-7170	212	5	.	.	PUNCT
ejpam-7170	213	1	(	(	PUNCT
ejpam-7170	213	2	ii	ii	NOUN
ejpam-7170	213	3	)	)	PUNCT
ejpam-7170	213	4	randomly	randomly	ADV
ejpam-7170	213	5	select	select	VERB
ejpam-7170	213	6	nm	nm	ADJ
ejpam-7170	213	7	offspring	offspring	NOUN
ejpam-7170	213	8	to	to	PART
ejpam-7170	213	9	mutate	mutate	VERB
ejpam-7170	213	10	.	.	PUNCT
ejpam-7170	214	1	(	(	PUNCT
ejpam-7170	214	2	iii	iii	NOUN
ejpam-7170	214	3	)	)	PUNCT
ejpam-7170	214	4	for	for	ADP
ejpam-7170	214	5	each	each	DET
ejpam-7170	214	6	selected	select	VERB
ejpam-7170	214	7	offspring	offspring	NOUN
ejpam-7170	214	8	,	,	PUNCT
ejpam-7170	214	9	generate	generate	VERB
ejpam-7170	214	10	a	a	DET
ejpam-7170	214	11	random	random	ADJ
ejpam-7170	214	12	number	number	NOUN
ejpam-7170	214	13	r	r	NOUN
ejpam-7170	214	14	∈	∈	NOUN
ejpam-7170	215	1	[	[	X
ejpam-7170	215	2	0	0	NUM
ejpam-7170	215	3	,	,	PUNCT
ejpam-7170	215	4	1	1	NUM
ejpam-7170	215	5	]	]	PUNCT
ejpam-7170	215	6	.	.	PUNCT
ejpam-7170	216	1	(	(	PUNCT
ejpam-7170	216	2	iv	iv	X
ejpam-7170	216	3	)	)	PUNCT
ejpam-7170	216	4	if	if	SCONJ
ejpam-7170	216	5	r	r	NOUN
ejpam-7170	216	6	>	>	X
ejpam-7170	216	7	0.5	0.5	NUM
ejpam-7170	216	8	the	the	DET
ejpam-7170	216	9	displacement	displacement	ADJ
ejpam-7170	216	10	mutation	mutation	NOUN
ejpam-7170	216	11	is	be	AUX
ejpam-7170	216	12	executed	execute	VERB
ejpam-7170	216	13	;	;	PUNCT
ejpam-7170	216	14	otherwise	otherwise	ADV
ejpam-7170	216	15	,	,	PUNCT
ejpam-7170	216	16	executed	execute	VERB
ejpam-7170	216	17	the	the	DET
ejpam-7170	216	18	inversion	inversion	NOUN
ejpam-7170	216	19	mutation	mutation	NOUN
ejpam-7170	216	20	.	.	PUNCT
ejpam-7170	217	1	a	a	DET
ejpam-7170	217	2	substring	substring	NOUN
ejpam-7170	217	3	of	of	ADP
ejpam-7170	217	4	genes	gene	NOUN
ejpam-7170	217	5	is	be	AUX
ejpam-7170	217	6	chosen	choose	VERB
ejpam-7170	217	7	at	at	ADP
ejpam-7170	217	8	random	random	ADJ
ejpam-7170	217	9	and	and	CCONJ
ejpam-7170	217	10	placed	place	VERB
ejpam-7170	217	11	in	in	ADP
ejpam-7170	217	12	a	a	DET
ejpam-7170	217	13	random	random	ADJ
ejpam-7170	217	14	location	location	NOUN
ejpam-7170	217	15	in	in	ADP
ejpam-7170	217	16	displacement	displacement	ADJ
ejpam-7170	217	17	mutation	mutation	NOUN
ejpam-7170	217	18	.	.	PUNCT
ejpam-7170	218	1	thus	thus	ADV
ejpam-7170	218	2	,	,	PUNCT
ejpam-7170	218	3	it	it	PRON
ejpam-7170	218	4	is	be	AUX
ejpam-7170	218	5	possible	possible	ADJ
ejpam-7170	218	6	to	to	PART
ejpam-7170	218	7	think	think	VERB
ejpam-7170	218	8	of	of	ADP
ejpam-7170	218	9	insertion	insertion	NOUN
ejpam-7170	218	10	as	as	ADP
ejpam-7170	218	11	a	a	DET
ejpam-7170	218	12	particular	particular	ADJ
ejpam-7170	218	13	instance	instance	NOUN
ejpam-7170	218	14	of	of	ADP
ejpam-7170	218	15	displacement	displacement	NOUN
ejpam-7170	218	16	.	.	PUNCT
ejpam-7170	219	1	the	the	DET
ejpam-7170	219	2	process	process	NOUN
ejpam-7170	219	3	of	of	ADP
ejpam-7170	219	4	this	this	DET
ejpam-7170	219	5	mutation	mutation	NOUN
ejpam-7170	219	6	operator	operator	NOUN
ejpam-7170	219	7	is	be	AUX
ejpam-7170	219	8	shown	show	VERB
ejpam-7170	219	9	in	in	ADP
ejpam-7170	219	10	figure	figure	NOUN
ejpam-7170	219	11	5	5	NUM
ejpam-7170	219	12	.	.	PUNCT
ejpam-7170	219	13	inversion	inversion	NOUN
ejpam-7170	219	14	mutation	mutation	NOUN
ejpam-7170	219	15	involves	involves	AUX
ejpam-7170	219	16	randomly	randomly	ADV
ejpam-7170	219	17	choosing	choose	VERB
ejpam-7170	219	18	two	two	NUM
ejpam-7170	219	19	locations	location	NOUN
ejpam-7170	219	20	inside	inside	ADP
ejpam-7170	219	21	a	a	DET
ejpam-7170	219	22	chromosome	chromosome	NOUN
ejpam-7170	219	23	or	or	CCONJ
ejpam-7170	219	24	tour	tour	NOUN
ejpam-7170	219	25	,	,	PUNCT
ejpam-7170	219	26	then	then	ADV
ejpam-7170	219	27	flipping	flip	VERB
ejpam-7170	219	28	the	the	DET
ejpam-7170	219	29	positions	position	NOUN
ejpam-7170	219	30	in	in	ADP
ejpam-7170	219	31	the	the	DET
ejpam-7170	219	32	substring	substring	NOUN
ejpam-7170	219	33	between	between	ADP
ejpam-7170	219	34	these	these	DET
ejpam-7170	219	35	two	two	NUM
ejpam-7170	219	36	locations	location	NOUN
ejpam-7170	219	37	.	.	PUNCT
ejpam-7170	220	1	figure	figure	NOUN
ejpam-7170	220	2	6	6	NUM
ejpam-7170	220	3	illustrates	illustrate	VERB
ejpam-7170	220	4	the	the	DET
ejpam-7170	220	5	procedure	procedure	NOUN
ejpam-7170	220	6	of	of	ADP
ejpam-7170	220	7	the	the	DET
ejpam-7170	220	8	inversion	inversion	NOUN
ejpam-7170	220	9	mutation	mutation	NOUN
ejpam-7170	220	10	operator	operator	NOUN
ejpam-7170	220	11	.	.	PUNCT
ejpam-7170	221	1	figure	figure	NOUN
ejpam-7170	221	2	5	5	NUM
ejpam-7170	221	3	:	:	PUNCT
ejpam-7170	221	4	displacement	displacement	ADJ
ejpam-7170	221	5	mutation	mutation	NOUN
ejpam-7170	221	6	.	.	PUNCT
ejpam-7170	222	1	figure	figure	VERB
ejpam-7170	222	2	6	6	NUM
ejpam-7170	222	3	:	:	PUNCT
ejpam-7170	222	4	inversion	inversion	NOUN
ejpam-7170	222	5	mutation	mutation	NOUN
ejpam-7170	222	6	.	.	PUNCT
ejpam-7170	223	1	step	step	NOUN
ejpam-7170	223	2	7	7	NUM
ejpam-7170	223	3	:	:	PUNCT
ejpam-7170	223	4	combining	combine	VERB
ejpam-7170	223	5	during	during	ADP
ejpam-7170	223	6	this	this	DET
ejpam-7170	223	7	step	step	NOUN
ejpam-7170	223	8	,	,	PUNCT
ejpam-7170	223	9	the	the	DET
ejpam-7170	223	10	created	create	VERB
ejpam-7170	223	11	offspring	offspring	NOUN
ejpam-7170	223	12	and	and	CCONJ
ejpam-7170	223	13	the	the	DET
ejpam-7170	223	14	existing	exist	VERB
ejpam-7170	223	15	(	(	PUNCT
ejpam-7170	223	16	parent	parent	NOUN
ejpam-7170	223	17	)	)	PUNCT
ejpam-7170	223	18	population	population	NOUN
ejpam-7170	223	19	are	be	AUX
ejpam-7170	223	20	combined	combine	VERB
ejpam-7170	223	21	to	to	PART
ejpam-7170	223	22	form	form	VERB
ejpam-7170	223	23	a	a	DET
ejpam-7170	223	24	single	single	ADJ
ejpam-7170	223	25	,	,	PUNCT
ejpam-7170	223	26	bigger	big	ADJ
ejpam-7170	223	27	population	population	NOUN
ejpam-7170	223	28	.	.	PUNCT
ejpam-7170	224	1	the	the	DET
ejpam-7170	224	2	multi	multi	ADJ
ejpam-7170	224	3	-	-	ADJ
ejpam-7170	224	4	objective	objective	ADJ
ejpam-7170	224	5	nature	nature	NOUN
ejpam-7170	224	6	of	of	ADP
ejpam-7170	224	7	the	the	DET
ejpam-7170	224	8	problem	problem	NOUN
ejpam-7170	224	9	is	be	AUX
ejpam-7170	224	10	then	then	ADV
ejpam-7170	224	11	addressed	address	VERB
ejpam-7170	224	12	by	by	ADP
ejpam-7170	224	13	sorting	sort	VERB
ejpam-7170	224	14	this	this	DET
ejpam-7170	224	15	combined	combined	ADJ
ejpam-7170	224	16	population	population	NOUN
ejpam-7170	224	17	according	accord	VERB
ejpam-7170	224	18	to	to	ADP
ejpam-7170	224	19	crowding	crowd	VERB
ejpam-7170	224	20	distance	distance	NOUN
ejpam-7170	224	21	(	(	PUNCT
ejpam-7170	224	22	cd)and	cd)and	X
ejpam-7170	224	23	pareto	pareto	ADJ
ejpam-7170	224	24	dominance	dominance	NOUN
ejpam-7170	224	25	.	.	PUNCT
ejpam-7170	225	1	this	this	PRON
ejpam-7170	225	2	preserves	preserve	VERB
ejpam-7170	225	3	high	high	ADJ
ejpam-7170	225	4	-	-	PUNCT
ejpam-7170	225	5	quality	quality	NOUN
ejpam-7170	225	6	solutions	solution	NOUN
ejpam-7170	225	7	,	,	PUNCT
ejpam-7170	225	8	maintains	maintain	VERB
ejpam-7170	225	9	population	population	NOUN
ejpam-7170	225	10	variety	variety	NOUN
ejpam-7170	225	11	,	,	PUNCT
ejpam-7170	225	12	and	and	CCONJ
ejpam-7170	225	13	ensures	ensure	VERB
ejpam-7170	225	14	an	an	DET
ejpam-7170	225	15	efficient	efficient	ADJ
ejpam-7170	225	16	balance	balance	NOUN
ejpam-7170	225	17	between	between	ADP
ejpam-7170	225	18	search	search	NOUN
ejpam-7170	225	19	space	space	NOUN
ejpam-7170	225	20	exploration	exploration	NOUN
ejpam-7170	225	21	and	and	CCONJ
ejpam-7170	225	22	exploitation	exploitation	NOUN
ejpam-7170	225	23	by	by	ADP
ejpam-7170	225	24	choosing	choose	VERB
ejpam-7170	225	25	the	the	DET
ejpam-7170	225	26	best	good	ADJ
ejpam-7170	225	27	subset	subset	NOUN
ejpam-7170	225	28	of	of	ADP
ejpam-7170	225	29	individuals	individual	NOUN
ejpam-7170	225	30	to	to	PART
ejpam-7170	225	31	form	form	VERB
ejpam-7170	225	32	the	the	DET
ejpam-7170	225	33	next	next	ADJ
ejpam-7170	225	34	generation	generation	NOUN
ejpam-7170	225	35	.	.	PUNCT
ejpam-7170	226	1	m.a	m.a	PROPN
ejpam-7170	226	2	.	.	PROPN
ejpam-7170	226	3	el	el	PROPN
ejpam-7170	226	4	-	-	PROPN
ejpam-7170	226	5	shorbagy	shorbagy	PROPN
ejpam-7170	226	6	et	et	PROPN
ejpam-7170	226	7	al	al	PROPN
ejpam-7170	226	8	.	.	PUNCT
ejpam-7170	226	9	/	/	SYM
ejpam-7170	226	10	eur	eur	PROPN
ejpam-7170	226	11	.	.	PUNCT
ejpam-7170	227	1	j.	j.	PROPN
ejpam-7170	227	2	pure	pure	PROPN
ejpam-7170	227	3	appl	appl	PROPN
ejpam-7170	227	4	.	.	PROPN
ejpam-7170	227	5	math	math	PROPN
ejpam-7170	227	6	,	,	PUNCT
ejpam-7170	227	7	18	18	NUM
ejpam-7170	227	8	(	(	PUNCT
ejpam-7170	227	9	4	4	NUM
ejpam-7170	227	10	)	)	PUNCT
ejpam-7170	227	11	(	(	PUNCT
ejpam-7170	227	12	2025	2025	NUM
ejpam-7170	227	13	)	)	PUNCT
ejpam-7170	227	14	,	,	PUNCT
ejpam-7170	227	15	7170	7170	NUM
ejpam-7170	227	16	12	12	NUM
ejpam-7170	227	17	of	of	ADP
ejpam-7170	227	18	21	21	NUM
ejpam-7170	227	19	step	step	NOUN
ejpam-7170	227	20	8	8	NUM
ejpam-7170	227	21	:	:	PUNCT
ejpam-7170	227	22	the	the	DET
ejpam-7170	227	23	termination	termination	NOUN
ejpam-7170	227	24	criterion	criterion	NOUN
ejpam-7170	227	25	when	when	SCONJ
ejpam-7170	227	26	the	the	DET
ejpam-7170	227	27	maximum	maximum	ADJ
ejpam-7170	227	28	number	number	NOUN
ejpam-7170	227	29	of	of	ADP
ejpam-7170	227	30	generations	generation	NOUN
ejpam-7170	227	31	gmax	gmax	PROPN
ejpam-7170	227	32	is	be	AUX
ejpam-7170	227	33	reached	reach	VERB
ejpam-7170	227	34	or	or	CCONJ
ejpam-7170	227	35	the	the	DET
ejpam-7170	227	36	population	population	NOUN
ejpam-7170	227	37	’s	’s	PART
ejpam-7170	227	38	individuals	individual	NOUN
ejpam-7170	227	39	converge	converge	VERB
ejpam-7170	227	40	,	,	PUNCT
ejpam-7170	227	41	the	the	DET
ejpam-7170	227	42	suggested	suggest	VERB
ejpam-7170	227	43	algorithm	algorithm	NOUN
ejpam-7170	227	44	stops	stop	VERB
ejpam-7170	227	45	.	.	PUNCT
ejpam-7170	228	1	if	if	SCONJ
ejpam-7170	228	2	the	the	DET
ejpam-7170	228	3	termination	termination	NOUN
ejpam-7170	228	4	criteria	criterion	NOUN
ejpam-7170	228	5	are	be	AUX
ejpam-7170	228	6	met	meet	VERB
ejpam-7170	228	7	,	,	PUNCT
ejpam-7170	228	8	the	the	DET
ejpam-7170	228	9	non	non	ADJ
ejpam-7170	228	10	-	-	ADJ
ejpam-7170	228	11	dominated	dominated	ADJ
ejpam-7170	228	12	solutions	solution	NOUN
ejpam-7170	228	13	are	be	AUX
ejpam-7170	228	14	offered	offer	VERB
ejpam-7170	228	15	to	to	ADP
ejpam-7170	228	16	the	the	DET
ejpam-7170	228	17	dm	dm	NOUN
ejpam-7170	228	18	;	;	PUNCT
ejpam-7170	228	19	otherwise	otherwise	ADV
ejpam-7170	228	20	,	,	PUNCT
ejpam-7170	228	21	proceed	proceed	VERB
ejpam-7170	228	22	to	to	PART
ejpam-7170	228	23	step	step	VERB
ejpam-7170	228	24	4	4	NUM
ejpam-7170	228	25	.	.	PUNCT
ejpam-7170	229	1	the	the	DET
ejpam-7170	229	2	pseudocode	pseudocode	NOUN
ejpam-7170	229	3	of	of	ADP
ejpam-7170	229	4	the	the	DET
ejpam-7170	229	5	proposed	propose	VERB
ejpam-7170	229	6	ga	ga	PROPN
ejpam-7170	229	7	-	-	PUNCT
ejpam-7170	229	8	hm	hm	PROPN
ejpam-7170	229	9	for	for	ADP
ejpam-7170	229	10	solving	solve	VERB
ejpam-7170	229	11	moraps	morap	NOUN
ejpam-7170	229	12	is	be	AUX
ejpam-7170	229	13	presented	present	VERB
ejpam-7170	229	14	in	in	ADP
ejpam-7170	229	15	algorithm	algorithm	NOUN
ejpam-7170	229	16	1	1	NUM
ejpam-7170	229	17	.	.	PUNCT
ejpam-7170	230	1	algorithm	algorithm	NOUN
ejpam-7170	230	2	1	1	NUM
ejpam-7170	230	3	:	:	PUNCT
ejpam-7170	230	4	genetic	genetic	ADJ
ejpam-7170	230	5	algorithm	algorithm	NOUN
ejpam-7170	230	6	with	with	ADP
ejpam-7170	230	7	hybrid	hybrid	ADJ
ejpam-7170	230	8	mutation	mutation	NOUN
ejpam-7170	230	9	(	(	PUNCT
ejpam-7170	230	10	ga	ga	NOUN
ejpam-7170	230	11	-	-	PUNCT
ejpam-7170	230	12	hm	hm	NOUN
ejpam-7170	230	13	)	)	PUNCT
ejpam-7170	230	14	for	for	ADP
ejpam-7170	230	15	morap	morap	NOUN
ejpam-7170	230	16	1	1	NUM
ejpam-7170	230	17	:	:	PUNCT
ejpam-7170	230	18	input	input	NOUN
ejpam-7170	230	19	:	:	PUNCT
ejpam-7170	230	20	population	population	NOUN
ejpam-7170	230	21	size	size	NOUN
ejpam-7170	230	22	npop	npop	NOUN
ejpam-7170	230	23	,	,	PUNCT
ejpam-7170	230	24	crossover	crossover	VERB
ejpam-7170	230	25	probability	probability	NOUN
ejpam-7170	230	26	pc	pc	NOUN
ejpam-7170	230	27	,	,	PUNCT
ejpam-7170	230	28	mutation	mutation	NOUN
ejpam-7170	230	29	probability	probability	NOUN
ejpam-7170	230	30	pm	pm	NOUN
ejpam-7170	230	31	,	,	PUNCT
ejpam-7170	230	32	max	max	PROPN
ejpam-7170	230	33	generations	generation	NOUN
ejpam-7170	230	34	gmax	gmax	VERB
ejpam-7170	230	35	2	2	NUM
ejpam-7170	230	36	:	:	PUNCT
ejpam-7170	230	37	output	output	NOUN
ejpam-7170	230	38	:	:	PUNCT
ejpam-7170	230	39	set	set	NOUN
ejpam-7170	230	40	of	of	ADP
ejpam-7170	230	41	non	non	ADJ
ejpam-7170	230	42	-	-	ADJ
ejpam-7170	230	43	dominated	dominated	ADJ
ejpam-7170	230	44	(	(	PUNCT
ejpam-7170	230	45	pareto	pareto	VERB
ejpam-7170	230	46	-	-	PUNCT
ejpam-7170	230	47	optimal	optimal	ADJ
ejpam-7170	230	48	)	)	PUNCT
ejpam-7170	230	49	solutions	solution	NOUN
ejpam-7170	230	50	3	3	NUM
ejpam-7170	230	51	:	:	PUNCT
ejpam-7170	230	52	initialize	initialize	VERB
ejpam-7170	230	53	population	population	NOUN
ejpam-7170	230	54	p	p	NOUN
ejpam-7170	230	55	(	(	PUNCT
ejpam-7170	230	56	0	0	NUM
ejpam-7170	230	57	)	)	PUNCT
ejpam-7170	230	58	with	with	ADP
ejpam-7170	230	59	npop	npop	NOUN
ejpam-7170	230	60	random	random	ADJ
ejpam-7170	230	61	chromosomes	chromosome	NOUN
ejpam-7170	230	62	(	(	PUNCT
ejpam-7170	230	63	paths	path	NOUN
ejpam-7170	230	64	)	)	PUNCT
ejpam-7170	230	65	4	4	NUM
ejpam-7170	230	66	:	:	PUNCT
ejpam-7170	230	67	evaluate	evaluate	VERB
ejpam-7170	230	68	objective	objective	ADJ
ejpam-7170	230	69	functions	function	NOUN
ejpam-7170	230	70	for	for	ADP
ejpam-7170	230	71	each	each	DET
ejpam-7170	230	72	chromosome	chromosome	NOUN
ejpam-7170	230	73	in	in	ADP
ejpam-7170	230	74	p	p	PROPN
ejpam-7170	230	75	(	(	PUNCT
ejpam-7170	230	76	0	0	NUM
ejpam-7170	230	77	)	)	PUNCT
ejpam-7170	230	78	5	5	NUM
ejpam-7170	230	79	:	:	PUNCT
ejpam-7170	230	80	perform	perform	VERB
ejpam-7170	230	81	non	non	ADJ
ejpam-7170	230	82	-	-	ADJ
ejpam-7170	230	83	dominated	dominated	ADJ
ejpam-7170	230	84	sorting	sorting	NOUN
ejpam-7170	230	85	to	to	PART
ejpam-7170	230	86	classify	classify	VERB
ejpam-7170	230	87	solutions	solution	NOUN
ejpam-7170	230	88	into	into	ADP
ejpam-7170	230	89	pareto	pareto	ADJ
ejpam-7170	230	90	fronts	front	NOUN
ejpam-7170	230	91	6	6	NUM
ejpam-7170	230	92	:	:	PUNCT
ejpam-7170	230	93	for	for	ADP
ejpam-7170	230	94	g	g	NOUN
ejpam-7170	230	95	=	=	SYM
ejpam-7170	230	96	1	1	NUM
ejpam-7170	230	97	to	to	PART
ejpam-7170	230	98	gmax	gmax	VERB
ejpam-7170	230	99	do	do	AUX
ejpam-7170	230	100	7	7	NUM
ejpam-7170	230	101	:	:	PUNCT
ejpam-7170	230	102	select	select	VERB
ejpam-7170	230	103	randomly	randomly	ADV
ejpam-7170	230	104	ns	ns	NUM
ejpam-7170	230	105	parents	parent	NOUN
ejpam-7170	230	106	from	from	ADP
ejpam-7170	230	107	p	p	PROPN
ejpam-7170	230	108	(	(	PUNCT
ejpam-7170	230	109	g	g	NOUN
ejpam-7170	230	110	)	)	PUNCT
ejpam-7170	230	111	using	use	VERB
ejpam-7170	230	112	tournament	tournament	NOUN
ejpam-7170	230	113	selection	selection	NOUN
ejpam-7170	230	114	8	8	NUM
ejpam-7170	230	115	:	:	PUNCT
ejpam-7170	230	116	apply	apply	VERB
ejpam-7170	230	117	uniform	uniform	NOUN
ejpam-7170	230	118	crossover	crossover	NOUN
ejpam-7170	230	119	with	with	ADP
ejpam-7170	230	120	probability	probability	NOUN
ejpam-7170	230	121	pc	pc	NOUN
ejpam-7170	230	122	to	to	PART
ejpam-7170	230	123	generate	generate	VERB
ejpam-7170	230	124	nc	nc	NOUN
ejpam-7170	231	1	=	=	PUNCT
ejpam-7170	232	1	[	[	X
ejpam-7170	232	2	pc×ns	pc×ns	NOUN
ejpam-7170	232	3	]	]	PUNCT
ejpam-7170	232	4	offspring	offspre	VERB
ejpam-7170	232	5	9	9	NUM
ejpam-7170	232	6	:	:	PUNCT
ejpam-7170	232	7	determine	determine	VERB
ejpam-7170	232	8	the	the	DET
ejpam-7170	232	9	number	number	NOUN
ejpam-7170	232	10	of	of	ADP
ejpam-7170	232	11	offspring	offspring	NOUN
ejpam-7170	232	12	to	to	PART
ejpam-7170	232	13	be	be	AUX
ejpam-7170	232	14	mutated	mutate	VERB
ejpam-7170	232	15	as	as	ADP
ejpam-7170	232	16	nm	nm	NOUN
ejpam-7170	232	17	=	=	PUNCT
ejpam-7170	233	1	[	[	X
ejpam-7170	233	2	pm	pm	NOUN
ejpam-7170	233	3	×nc	×nc	NOUN
ejpam-7170	233	4	]	]	PUNCT
ejpam-7170	233	5	10	10	NUM
ejpam-7170	233	6	:	:	PUNCT
ejpam-7170	233	7	for	for	ADP
ejpam-7170	233	8	each	each	DET
ejpam-7170	233	9	selected	select	VERB
ejpam-7170	233	10	offspring	offspring	NOUN
ejpam-7170	233	11	,	,	PUNCT
ejpam-7170	233	12	generate	generate	VERB
ejpam-7170	233	13	a	a	DET
ejpam-7170	233	14	random	random	ADJ
ejpam-7170	233	15	number	number	NOUN
ejpam-7170	233	16	r	r	NOUN
ejpam-7170	233	17	∈	∈	NOUN
ejpam-7170	234	1	[	[	X
ejpam-7170	234	2	0	0	NUM
ejpam-7170	234	3	,	,	PUNCT
ejpam-7170	234	4	1	1	NUM
ejpam-7170	234	5	]	]	PUNCT
ejpam-7170	234	6	do	do	AUX
ejpam-7170	234	7	11	11	NUM
ejpam-7170	234	8	:	:	PUNCT
ejpam-7170	234	9	if	if	SCONJ
ejpam-7170	234	10	r	r	NOUN
ejpam-7170	234	11	>	>	X
ejpam-7170	234	12	0.5	0.5	NUM
ejpam-7170	234	13	then	then	ADV
ejpam-7170	234	14	12	12	NUM
ejpam-7170	234	15	:	:	PUNCT
ejpam-7170	234	16	apply	apply	VERB
ejpam-7170	234	17	displacement	displacement	ADJ
ejpam-7170	234	18	mutation	mutation	NOUN
ejpam-7170	234	19	13	13	NUM
ejpam-7170	234	20	:	:	PUNCT
ejpam-7170	234	21	else	else	ADV
ejpam-7170	234	22	14	14	NUM
ejpam-7170	234	23	:	:	PUNCT
ejpam-7170	234	24	apply	apply	VERB
ejpam-7170	234	25	inversion	inversion	NOUN
ejpam-7170	234	26	mutation	mutation	NOUN
ejpam-7170	234	27	15	15	NUM
ejpam-7170	234	28	:	:	PUNCT
ejpam-7170	234	29	end	end	VERB
ejpam-7170	234	30	if	if	SCONJ
ejpam-7170	234	31	16	16	NUM
ejpam-7170	234	32	:	:	PUNCT
ejpam-7170	234	33	end	end	VERB
ejpam-7170	234	34	for	for	ADP
ejpam-7170	234	35	17	17	NUM
ejpam-7170	234	36	:	:	PUNCT
ejpam-7170	234	37	combine	combine	VERB
ejpam-7170	234	38	parent	parent	NOUN
ejpam-7170	234	39	and	and	CCONJ
ejpam-7170	234	40	offspring	offspring	NOUN
ejpam-7170	234	41	populations	population	NOUN
ejpam-7170	234	42	18	18	NUM
ejpam-7170	234	43	:	:	PUNCT
ejpam-7170	234	44	perform	perform	VERB
ejpam-7170	234	45	non	non	ADJ
ejpam-7170	234	46	-	-	ADJ
ejpam-7170	234	47	dominated	dominated	ADJ
ejpam-7170	234	48	sorting	sorting	NOUN
ejpam-7170	234	49	and	and	CCONJ
ejpam-7170	234	50	update	update	VERB
ejpam-7170	234	51	pareto	pareto	ADJ
ejpam-7170	234	52	fronts	front	NOUN
ejpam-7170	234	53	19	19	NUM
ejpam-7170	234	54	:	:	PUNCT
ejpam-7170	234	55	select	select	ADJ
ejpam-7170	234	56	best	good	ADJ
ejpam-7170	234	57	npop	npop	NOUN
ejpam-7170	234	58	individuals	individual	NOUN
ejpam-7170	234	59	for	for	ADP
ejpam-7170	234	60	next	next	ADJ
ejpam-7170	234	61	generation	generation	NOUN
ejpam-7170	234	62	20	20	NUM
ejpam-7170	234	63	:	:	PUNCT
ejpam-7170	234	64	if	if	SCONJ
ejpam-7170	234	65	termination	termination	NOUN
ejpam-7170	234	66	condition	condition	NOUN
ejpam-7170	234	67	met	meet	VERB
ejpam-7170	234	68	(	(	PUNCT
ejpam-7170	234	69	max	max	PROPN
ejpam-7170	234	70	generations	generation	NOUN
ejpam-7170	234	71	gmax	gmax	VERB
ejpam-7170	234	72	or	or	CCONJ
ejpam-7170	234	73	convergence	convergence	NOUN
ejpam-7170	234	74	)	)	PUNCT
ejpam-7170	234	75	then	then	ADV
ejpam-7170	234	76	21	21	NUM
ejpam-7170	234	77	:	:	PUNCT
ejpam-7170	234	78	break	break	VERB
ejpam-7170	234	79	22	22	NUM
ejpam-7170	234	80	:	:	PUNCT
ejpam-7170	234	81	end	end	VERB
ejpam-7170	234	82	if	if	SCONJ
ejpam-7170	234	83	23	23	NUM
ejpam-7170	234	84	:	:	PUNCT
ejpam-7170	234	85	end	end	VERB
ejpam-7170	234	86	for	for	ADP
ejpam-7170	234	87	24	24	NUM
ejpam-7170	234	88	:	:	PUNCT
ejpam-7170	234	89	return	return	VERB
ejpam-7170	234	90	final	final	ADJ
ejpam-7170	234	91	non	non	ADJ
ejpam-7170	234	92	-	-	ADJ
ejpam-7170	234	93	dominated	dominate	VERB
ejpam-7170	234	94	pareto	pareto	NOUN
ejpam-7170	234	95	-	-	PUNCT
ejpam-7170	234	96	optimal	optimal	ADJ
ejpam-7170	234	97	set	set	NOUN
ejpam-7170	234	98	5	5	NUM
ejpam-7170	234	99	.	.	PUNCT
ejpam-7170	234	100	experimental	experimental	ADJ
ejpam-7170	234	101	results	result	NOUN
ejpam-7170	234	102	in	in	ADP
ejpam-7170	234	103	this	this	DET
ejpam-7170	234	104	section	section	NOUN
ejpam-7170	234	105	,	,	PUNCT
ejpam-7170	234	106	we	we	PRON
ejpam-7170	234	107	apply	apply	VERB
ejpam-7170	234	108	ga	ga	PROPN
ejpam-7170	234	109	-	-	PUNCT
ejpam-7170	234	110	hm	hm	INTJ
ejpam-7170	234	111	to	to	PART
ejpam-7170	234	112	test	test	VERB
ejpam-7170	234	113	problems	problem	NOUN
ejpam-7170	234	114	derived	derive	VERB
ejpam-7170	234	115	from	from	ADP
ejpam-7170	234	116	the	the	DET
ejpam-7170	234	117	literature	literature	NOUN
ejpam-7170	234	118	that	that	PRON
ejpam-7170	234	119	involve	involve	VERB
ejpam-7170	234	120	multi	multi	ADJ
ejpam-7170	234	121	-	-	ADJ
ejpam-7170	234	122	objective	objective	ADJ
ejpam-7170	234	123	resource	resource	NOUN
ejpam-7170	234	124	allocation	allocation	NOUN
ejpam-7170	234	125	[	[	X
ejpam-7170	234	126	23	23	NUM
ejpam-7170	234	127	,	,	PUNCT
ejpam-7170	234	128	32	32	NUM
ejpam-7170	234	129	]	]	PUNCT
ejpam-7170	234	130	.	.	PUNCT
ejpam-7170	235	1	in	in	ADP
ejpam-7170	235	2	addition	addition	NOUN
ejpam-7170	235	3	,	,	PUNCT
ejpam-7170	235	4	an	an	DET
ejpam-7170	235	5	engineering	engineering	NOUN
ejpam-7170	235	6	application	application	NOUN
ejpam-7170	235	7	[	[	X
ejpam-7170	235	8	19	19	NUM
ejpam-7170	235	9	]	]	PUNCT
ejpam-7170	235	10	is	be	AUX
ejpam-7170	235	11	given	give	VERB
ejpam-7170	235	12	to	to	PART
ejpam-7170	235	13	prove	prove	VERB
ejpam-7170	235	14	that	that	SCONJ
ejpam-7170	235	15	the	the	DET
ejpam-7170	235	16	suggested	suggest	VERB
ejpam-7170	235	17	method	method	NOUN
ejpam-7170	235	18	can	can	AUX
ejpam-7170	235	19	solve	solve	VERB
ejpam-7170	235	20	engineering	engineering	NOUN
ejpam-7170	235	21	difficulties	difficulty	NOUN
ejpam-7170	235	22	and	and	CCONJ
ejpam-7170	235	23	to	to	PART
ejpam-7170	235	24	confirm	confirm	VERB
ejpam-7170	235	25	that	that	SCONJ
ejpam-7170	235	26	ga	ga	PROPN
ejpam-7170	235	27	-	-	PUNCT
ejpam-7170	235	28	hm	hm	PROPN
ejpam-7170	235	29	works	work	VERB
ejpam-7170	235	30	for	for	ADP
ejpam-7170	235	31	moraps	morap	NOUN
ejpam-7170	235	32	.	.	PUNCT
ejpam-7170	236	1	intel	intel	PROPN
ejpam-7170	236	2	®	®	PROPN
ejpam-7170	236	3	core	core	NOUN
ejpam-7170	236	4	™	™	PROPN
ejpam-7170	236	5	i5	i5	ADJ
ejpam-7170	236	6	cpu	cpu	NOUN
ejpam-7170	236	7	m430	m430	PROPN
ejpam-7170	236	8	@	@	ADP
ejpam-7170	236	9	2.27ghz	2.27ghz	NUM
ejpam-7170	236	10	processor	processor	NOUN
ejpam-7170	236	11	with	with	ADP
ejpam-7170	236	12	6.00	6.00	NUM
ejpam-7170	236	13	gb	gb	ADV
ejpam-7170	236	14	installed	instal	VERB
ejpam-7170	236	15	memory	memory	NOUN
ejpam-7170	236	16	(	(	PUNCT
ejpam-7170	236	17	ram	ram	NOUN
ejpam-7170	236	18	)	)	PUNCT
ejpam-7170	236	19	has	have	AUX
ejpam-7170	236	20	been	be	AUX
ejpam-7170	236	21	used	use	VERB
ejpam-7170	236	22	to	to	PART
ejpam-7170	236	23	run	run	VERB
ejpam-7170	236	24	all	all	DET
ejpam-7170	236	25	tests	test	NOUN
ejpam-7170	236	26	.	.	PUNCT
ejpam-7170	237	1	the	the	DET
ejpam-7170	237	2	matlab	matlab	PROPN
ejpam-7170	237	3	programming	programming	NOUN
ejpam-7170	237	4	language	language	NOUN
ejpam-7170	237	5	is	be	AUX
ejpam-7170	237	6	used	use	VERB
ejpam-7170	237	7	to	to	PART
ejpam-7170	237	8	code	code	VERB
ejpam-7170	237	9	ga	ga	PROPN
ejpam-7170	237	10	-	-	PUNCT
ejpam-7170	237	11	hm	hm	PROPN
ejpam-7170	237	12	.	.	PUNCT
ejpam-7170	238	1	the	the	DET
ejpam-7170	238	2	ga	ga	PROPN
ejpam-7170	238	3	-	-	PUNCT
ejpam-7170	238	4	hm	hm	PROPN
ejpam-7170	238	5	parameters	parameter	NOUN
ejpam-7170	238	6	are	be	AUX
ejpam-7170	238	7	set	set	VERB
ejpam-7170	238	8	as	as	SCONJ
ejpam-7170	238	9	follows	follow	VERB
ejpam-7170	238	10	:	:	PUNCT
ejpam-7170	238	11	the	the	DET
ejpam-7170	238	12	maximum	maximum	ADJ
ejpam-7170	238	13	number	number	NOUN
ejpam-7170	238	14	of	of	ADP
ejpam-7170	238	15	generations	generation	NOUN
ejpam-7170	238	16	is	be	AUX
ejpam-7170	238	17	100	100	NUM
ejpam-7170	238	18	,	,	PUNCT
ejpam-7170	238	19	the	the	DET
ejpam-7170	238	20	crossover	crossover	NOUN
ejpam-7170	238	21	rate	rate	NOUN
ejpam-7170	238	22	is	be	AUX
ejpam-7170	238	23	0.1	0.1	NUM
ejpam-7170	238	24	,	,	PUNCT
ejpam-7170	238	25	the	the	DET
ejpam-7170	238	26	mutation	mutation	NOUN
ejpam-7170	238	27	rate	rate	NOUN
ejpam-7170	238	28	is	be	AUX
ejpam-7170	238	29	0.02	0.02	NUM
ejpam-7170	238	30	and	and	CCONJ
ejpam-7170	238	31	the	the	DET
ejpam-7170	238	32	population	population	NOUN
ejpam-7170	238	33	size	size	NOUN
ejpam-7170	238	34	is	be	AUX
ejpam-7170	238	35	100	100	NUM
ejpam-7170	238	36	.	.	PUNCT
ejpam-7170	239	1	m.a	m.a	PROPN
ejpam-7170	239	2	.	.	PROPN
ejpam-7170	239	3	el	el	PROPN
ejpam-7170	239	4	-	-	PROPN
ejpam-7170	239	5	shorbagy	shorbagy	PROPN
ejpam-7170	239	6	et	et	PROPN
ejpam-7170	239	7	al	al	PROPN
ejpam-7170	239	8	.	.	PUNCT
ejpam-7170	239	9	/	/	SYM
ejpam-7170	239	10	eur	eur	PROPN
ejpam-7170	239	11	.	.	PUNCT
ejpam-7170	240	1	j.	j.	PROPN
ejpam-7170	240	2	pure	pure	PROPN
ejpam-7170	240	3	appl	appl	PROPN
ejpam-7170	240	4	.	.	PROPN
ejpam-7170	240	5	math	math	PROPN
ejpam-7170	240	6	,	,	PUNCT
ejpam-7170	240	7	18	18	NUM
ejpam-7170	240	8	(	(	PUNCT
ejpam-7170	240	9	4	4	NUM
ejpam-7170	240	10	)	)	PUNCT
ejpam-7170	240	11	(	(	PUNCT
ejpam-7170	240	12	2025	2025	NUM
ejpam-7170	240	13	)	)	PUNCT
ejpam-7170	240	14	,	,	PUNCT
ejpam-7170	240	15	7170	7170	NUM
ejpam-7170	240	16	13	13	NUM
ejpam-7170	240	17	of	of	ADP
ejpam-7170	240	18	21	21	NUM
ejpam-7170	240	19	test	test	NOUN
ejpam-7170	240	20	problem	problem	NOUN
ejpam-7170	240	21	1	1	NUM
ejpam-7170	241	1	[	[	X
ejpam-7170	241	2	32	32	NUM
ejpam-7170	241	3	]	]	PUNCT
ejpam-7170	241	4	:	:	PUNCT
ejpam-7170	241	5	allocating	allocate	VERB
ejpam-7170	241	6	six	six	NUM
ejpam-7170	241	7	workers	worker	NOUN
ejpam-7170	241	8	to	to	ADP
ejpam-7170	241	9	four	four	NUM
ejpam-7170	241	10	distinct	distinct	ADJ
ejpam-7170	241	11	tasks	task	NOUN
ejpam-7170	241	12	is	be	AUX
ejpam-7170	241	13	the	the	DET
ejpam-7170	241	14	first	first	ADJ
ejpam-7170	241	15	test	test	NOUN
ejpam-7170	241	16	problem	problem	NOUN
ejpam-7170	241	17	.	.	PUNCT
ejpam-7170	242	1	you	you	PRON
ejpam-7170	242	2	may	may	AUX
ejpam-7170	242	3	find	find	VERB
ejpam-7170	242	4	the	the	DET
ejpam-7170	242	5	anticipated	anticipated	ADJ
ejpam-7170	242	6	cost	cost	NOUN
ejpam-7170	242	7	and	and	CCONJ
ejpam-7170	242	8	efficiency	efficiency	NOUN
ejpam-7170	242	9	in	in	ADP
ejpam-7170	242	10	table	table	NOUN
ejpam-7170	242	11	2	2	NUM
ejpam-7170	242	12	.	.	PUNCT
ejpam-7170	242	13	table	table	NOUN
ejpam-7170	242	14	2	2	NUM
ejpam-7170	242	15	:	:	PUNCT
ejpam-7170	242	16	test	test	NOUN
ejpam-7170	242	17	problem	problem	NOUN
ejpam-7170	242	18	1	1	NUM
ejpam-7170	242	19	’s	’s	PART
ejpam-7170	242	20	expected	expect	VERB
ejpam-7170	242	21	cost	cost	NOUN
ejpam-7170	242	22	and	and	CCONJ
ejpam-7170	242	23	efficiency	efficiency	NOUN
ejpam-7170	242	24	number	number	NOUN
ejpam-7170	242	25	of	of	ADP
ejpam-7170	242	26	workers	worker	NOUN
ejpam-7170	242	27	task	task	NOUN
ejpam-7170	242	28	1	1	NUM
ejpam-7170	242	29	2	2	NUM
ejpam-7170	242	30	3	3	NUM
ejpam-7170	242	31	4	4	NUM
ejpam-7170	242	32	cost	cost	NOUN
ejpam-7170	242	33	eff	eff	PROPN
ejpam-7170	242	34	.	.	PUNCT
ejpam-7170	243	1	cost	cost	PROPN
ejpam-7170	243	2	eff	eff	PROPN
ejpam-7170	243	3	.	.	PUNCT
ejpam-7170	244	1	cost	cost	PROPN
ejpam-7170	244	2	eff	eff	PROPN
ejpam-7170	244	3	.	.	PUNCT
ejpam-7170	245	1	cost	cost	PROPN
ejpam-7170	245	2	eff	eff	PROPN
ejpam-7170	245	3	.	.	PROPN
ejpam-7170	245	4	00	00	NUM
ejpam-7170	246	1	70.00	70.00	NUM
ejpam-7170	246	2	0.00	0.00	NUM
ejpam-7170	246	3	90.00	90.00	NUM
ejpam-7170	246	4	0.00	0.00	NUM
ejpam-7170	246	5	85.00	85.00	NUM
ejpam-7170	246	6	0.00	0.00	NUM
ejpam-7170	246	7	130	130	NUM
ejpam-7170	246	8	0	0	NUM
ejpam-7170	246	9	01	01	NUM
ejpam-7170	246	10	60.00	60.00	NUM
ejpam-7170	246	11	25.00	25.00	NUM
ejpam-7170	246	12	60.00	60.00	NUM
ejpam-7170	246	13	20.00	20.00	NUM
ejpam-7170	246	14	60.00	60.00	NUM
ejpam-7170	246	15	33.00	33.00	NUM
ejpam-7170	246	16	115	115	NUM
ejpam-7170	246	17	13	13	NUM
ejpam-7170	246	18	02	02	NUM
ejpam-7170	246	19	50.00	50.00	NUM
ejpam-7170	246	20	42.00	42.00	NUM
ejpam-7170	247	1	50.00	50.00	NUM
ejpam-7170	247	2	38.00	38.00	NUM
ejpam-7170	247	3	50.00	50.00	NUM
ejpam-7170	247	4	43.00	43.00	NUM
ejpam-7170	247	5	100	100	NUM
ejpam-7170	247	6	24	24	NUM
ejpam-7170	247	7	03	03	NUM
ejpam-7170	247	8	40.00	40.00	NUM
ejpam-7170	247	9	55.00	55.00	NUM
ejpam-7170	247	10	40.00	40.00	NUM
ejpam-7170	247	11	54.00	54.00	NUM
ejpam-7170	247	12	55.00	55.00	NUM
ejpam-7170	247	13	47.00	47.00	NUM
ejpam-7170	247	14	100	100	NUM
ejpam-7170	247	15	32	32	NUM
ejpam-7170	247	16	04	04	NUM
ejpam-7170	247	17	40.00	40.00	NUM
ejpam-7170	247	18	63.00	63.00	NUM
ejpam-7170	247	19	30.00	30.00	NUM
ejpam-7170	247	20	65.00	65.00	NUM
ejpam-7170	247	21	40.00	40.00	NUM
ejpam-7170	247	22	50.00	50.00	NUM
ejpam-7170	247	23	90	90	NUM
ejpam-7170	247	24	39	39	NUM
ejpam-7170	247	25	05	05	NUM
ejpam-7170	247	26	45.00	45.00	NUM
ejpam-7170	247	27	69.00	69.00	NUM
ejpam-7170	247	28	20.00	20.00	NUM
ejpam-7170	247	29	73.00	73.00	NUM
ejpam-7170	247	30	30.00	30.00	NUM
ejpam-7170	247	31	52.00	52.00	NUM
ejpam-7170	247	32	80	80	NUM
ejpam-7170	247	33	45	45	NUM
ejpam-7170	247	34	06	06	NUM
ejpam-7170	247	35	50.00	50.00	NUM
ejpam-7170	247	36	74.00	74.00	NUM
ejpam-7170	247	37	25.00	25.00	NUM
ejpam-7170	247	38	80.00	80.00	NUM
ejpam-7170	247	39	25.00	25.00	NUM
ejpam-7170	247	40	54.00	54.00	NUM
ejpam-7170	247	41	80	80	NUM
ejpam-7170	247	42	50	50	NUM
ejpam-7170	247	43	this	this	DET
ejpam-7170	247	44	problem	problem	NOUN
ejpam-7170	247	45	is	be	AUX
ejpam-7170	247	46	solved	solve	VERB
ejpam-7170	247	47	by	by	ADP
ejpam-7170	247	48	fuzzy	fuzzy	ADJ
ejpam-7170	247	49	dynamic	dynamic	ADJ
ejpam-7170	247	50	programming	programming	NOUN
ejpam-7170	247	51	(	(	PUNCT
ejpam-7170	247	52	fdp	fdp	INTJ
ejpam-7170	247	53	)	)	PUNCT
ejpam-7170	248	1	[	[	X
ejpam-7170	248	2	32	32	NUM
ejpam-7170	248	3	]	]	PUNCT
ejpam-7170	248	4	,	,	PUNCT
ejpam-7170	248	5	fuzzy	fuzzy	ADJ
ejpam-7170	248	6	dynamic	dynamic	ADJ
ejpam-7170	248	7	optimization	optimization	NOUN
ejpam-7170	248	8	algorithm	algorithm	NOUN
ejpam-7170	248	9	(	(	PUNCT
ejpam-7170	248	10	fdoa	fdoa	NOUN
ejpam-7170	248	11	)	)	PUNCT
ejpam-7170	249	1	[	[	X
ejpam-7170	249	2	33	33	NUM
ejpam-7170	249	3	]	]	PUNCT
ejpam-7170	249	4	,	,	PUNCT
ejpam-7170	249	5	effective	effective	ADJ
ejpam-7170	249	6	ga	ga	NOUN
ejpam-7170	249	7	approach	approach	NOUN
ejpam-7170	249	8	(	(	PUNCT
ejpam-7170	249	9	egaa	egaa	ADV
ejpam-7170	249	10	)	)	PUNCT
ejpam-7170	250	1	[	[	X
ejpam-7170	250	2	11	11	NUM
ejpam-7170	250	3	]	]	PUNCT
ejpam-7170	250	4	,	,	PUNCT
ejpam-7170	250	5	k	k	X
ejpam-7170	250	6	-	-	PUNCT
ejpam-7170	250	7	meansclustering	meansclustering	ADJ
ejpam-7170	250	8	based	base	VERB
ejpam-7170	250	9	ga	ga	PROPN
ejpam-7170	251	1	[	[	X
ejpam-7170	251	2	34	34	NUM
ejpam-7170	251	3	]	]	PUNCT
ejpam-7170	251	4	,	,	PUNCT
ejpam-7170	251	5	and	and	CCONJ
ejpam-7170	251	6	the	the	DET
ejpam-7170	251	7	proposed	propose	VERB
ejpam-7170	251	8	ga	ga	PROPN
ejpam-7170	251	9	-	-	PUNCT
ejpam-7170	251	10	hm	hm	PROPN
ejpam-7170	251	11	algorithm	algorithm	PROPN
ejpam-7170	251	12	.	.	PUNCT
ejpam-7170	252	1	table	table	NOUN
ejpam-7170	252	2	3	3	NUM
ejpam-7170	252	3	explains	explain	VERB
ejpam-7170	252	4	a	a	DET
ejpam-7170	252	5	comparison	comparison	NOUN
ejpam-7170	252	6	of	of	ADP
ejpam-7170	252	7	the	the	DET
ejpam-7170	252	8	best	well	ADV
ejpam-7170	252	9	-	-	PUNCT
ejpam-7170	252	10	optimized	optimize	VERB
ejpam-7170	252	11	solution	solution	NOUN
ejpam-7170	252	12	that	that	PRON
ejpam-7170	252	13	obtained	obtain	VERB
ejpam-7170	252	14	by	by	ADP
ejpam-7170	252	15	these	these	DET
ejpam-7170	252	16	algorithms	algorithm	NOUN
ejpam-7170	252	17	.	.	PUNCT
ejpam-7170	253	1	while	while	SCONJ
ejpam-7170	253	2	the	the	DET
ejpam-7170	253	3	graphical	graphical	ADJ
ejpam-7170	253	4	representation	representation	NOUN
ejpam-7170	253	5	of	of	ADP
ejpam-7170	253	6	table	table	NOUN
ejpam-7170	253	7	3	3	NUM
ejpam-7170	253	8	’s	’s	PART
ejpam-7170	253	9	solutions	solution	NOUN
ejpam-7170	253	10	is	be	AUX
ejpam-7170	253	11	shown	show	VERB
ejpam-7170	253	12	in	in	ADP
ejpam-7170	253	13	figure	figure	NOUN
ejpam-7170	253	14	7	7	NUM
ejpam-7170	253	15	.	.	PUNCT
ejpam-7170	254	1	we	we	PRON
ejpam-7170	254	2	can	can	AUX
ejpam-7170	254	3	infer	infer	VERB
ejpam-7170	254	4	from	from	ADP
ejpam-7170	254	5	the	the	DET
ejpam-7170	254	6	results	result	NOUN
ejpam-7170	254	7	that	that	PRON
ejpam-7170	254	8	fdp	fdp	PROPN
ejpam-7170	254	9	introduced	introduce	VERB
ejpam-7170	254	10	four	four	NUM
ejpam-7170	254	11	solutions	solution	NOUN
ejpam-7170	254	12	.	.	PUNCT
ejpam-7170	255	1	there	there	PRON
ejpam-7170	255	2	is	be	VERB
ejpam-7170	255	3	only	only	ADV
ejpam-7170	255	4	one	one	NUM
ejpam-7170	255	5	non	non	ADJ
ejpam-7170	255	6	-	-	ADJ
ejpam-7170	255	7	dominated	dominated	ADJ
ejpam-7170	255	8	solution	solution	NOUN
ejpam-7170	255	9	out	out	ADP
ejpam-7170	255	10	of	of	ADP
ejpam-7170	255	11	the	the	DET
ejpam-7170	255	12	four	four	NUM
ejpam-7170	255	13	which	which	PRON
ejpam-7170	255	14	is	be	AUX
ejpam-7170	255	15	[	[	X
ejpam-7170	255	16	x1	x1	PROPN
ejpam-7170	255	17	,	,	PUNCT
ejpam-7170	255	18	x2	x2	PROPN
ejpam-7170	255	19	,	,	PUNCT
ejpam-7170	255	20	x3	x3	PROPN
ejpam-7170	255	21	,	,	PUNCT
ejpam-7170	255	22	x4	x4	PROPN
ejpam-7170	255	23	]	]	PUNCT
ejpam-7170	256	1	=	=	PUNCT
ejpam-7170	257	1	[	[	X
ejpam-7170	257	2	2	2	NUM
ejpam-7170	257	3	,	,	PUNCT
ejpam-7170	257	4	3	3	NUM
ejpam-7170	257	5	,	,	PUNCT
ejpam-7170	257	6	1	1	NUM
ejpam-7170	257	7	,	,	PUNCT
ejpam-7170	257	8	0	0	NUM
ejpam-7170	257	9	]	]	PUNCT
ejpam-7170	257	10	.	.	PUNCT
ejpam-7170	258	1	three	three	NUM
ejpam-7170	258	2	non	non	ADJ
ejpam-7170	258	3	-	-	ADJ
ejpam-7170	258	4	dominated	dominated	ADJ
ejpam-7170	258	5	solutions	solution	NOUN
ejpam-7170	258	6	were	be	AUX
ejpam-7170	258	7	identified	identify	VERB
ejpam-7170	258	8	by	by	ADP
ejpam-7170	258	9	the	the	DET
ejpam-7170	258	10	other	other	ADJ
ejpam-7170	258	11	algorithms	algorithm	NOUN
ejpam-7170	258	12	,	,	PUNCT
ejpam-7170	258	13	fdoa	fdoa	NOUN
ejpam-7170	258	14	,	,	PUNCT
ejpam-7170	258	15	egaa	egaa	ADV
ejpam-7170	258	16	,	,	PUNCT
ejpam-7170	258	17	k	k	ADJ
ejpam-7170	258	18	-	-	PUNCT
ejpam-7170	258	19	means	means	NOUN
ejpam-7170	258	20	-	-	PUNCT
ejpam-7170	258	21	clustering	clustering	ADJ
ejpam-7170	258	22	based	base	VERB
ejpam-7170	258	23	ga	ga	PROPN
ejpam-7170	258	24	,	,	PUNCT
ejpam-7170	258	25	and	and	CCONJ
ejpam-7170	258	26	the	the	DET
ejpam-7170	258	27	suggested	suggest	VERB
ejpam-7170	258	28	ga	ga	PROPN
ejpam-7170	258	29	-	-	PUNCT
ejpam-7170	258	30	hm	hm	PROPN
ejpam-7170	258	31	technique	technique	NOUN
ejpam-7170	258	32	.	.	PUNCT
ejpam-7170	259	1	furthermore	furthermore	ADV
ejpam-7170	259	2	,	,	PUNCT
ejpam-7170	259	3	the	the	DET
ejpam-7170	259	4	three	three	NUM
ejpam-7170	259	5	dominated	dominate	VERB
ejpam-7170	259	6	solutions	solution	NOUN
ejpam-7170	259	7	produced	produce	VERB
ejpam-7170	259	8	by	by	ADP
ejpam-7170	259	9	fdp	fdp	PROPN
ejpam-7170	259	10	are	be	AUX
ejpam-7170	259	11	dominated	dominate	VERB
ejpam-7170	259	12	by	by	ADP
ejpam-7170	259	13	these	these	DET
ejpam-7170	259	14	three	three	NUM
ejpam-7170	259	15	non	non	ADJ
ejpam-7170	259	16	-	-	ADJ
ejpam-7170	259	17	dominated	dominate	VERB
ejpam-7170	259	18	solutions	solution	NOUN
ejpam-7170	259	19	as	as	SCONJ
ejpam-7170	259	20	shown	show	VERB
ejpam-7170	259	21	from	from	ADP
ejpam-7170	259	22	table	table	NOUN
ejpam-7170	259	23	3	3	NUM
ejpam-7170	259	24	and	and	CCONJ
ejpam-7170	259	25	figure	figure	VERB
ejpam-7170	259	26	7	7	NUM
ejpam-7170	259	27	.	.	PUNCT
ejpam-7170	259	28	table	table	NOUN
ejpam-7170	259	29	3	3	NUM
ejpam-7170	259	30	:	:	PUNCT
ejpam-7170	259	31	solution	solution	NOUN
ejpam-7170	259	32	obtained	obtain	VERB
ejpam-7170	259	33	by	by	ADP
ejpam-7170	259	34	compared	compare	VERB
ejpam-7170	259	35	algorithms	algorithm	NOUN
ejpam-7170	259	36	for	for	ADP
ejpam-7170	259	37	test	test	NOUN
ejpam-7170	259	38	problem	problem	NOUN
ejpam-7170	259	39	1	1	NUM
ejpam-7170	259	40	method	method	NOUN
ejpam-7170	260	1	x1	x1	PROPN
ejpam-7170	260	2	x2	x2	PROPN
ejpam-7170	260	3	x3	x3	PROPN
ejpam-7170	260	4	x4	x4	PROPN
ejpam-7170	260	5	cost	cost	NOUN
ejpam-7170	260	6	efficiency	efficiency	NOUN
ejpam-7170	260	7	type	type	NOUN
ejpam-7170	260	8	of	of	ADP
ejpam-7170	260	9	solution	solution	NOUN
ejpam-7170	260	10	fdp	fdp	X
ejpam-7170	260	11	2	2	NUM
ejpam-7170	260	12	3	3	NUM
ejpam-7170	260	13	1	1	NUM
ejpam-7170	260	14	0	0	NUM
ejpam-7170	260	15	280	280	NUM
ejpam-7170	260	16	129	129	NUM
ejpam-7170	260	17	nd	nd	NUM
ejpam-7170	260	18	3	3	NUM
ejpam-7170	260	19	0	0	NUM
ejpam-7170	260	20	3	3	NUM
ejpam-7170	260	21	0	0	NUM
ejpam-7170	260	22	315	315	NUM
ejpam-7170	260	23	102	102	NUM
ejpam-7170	260	24	dominated	dominate	VERB
ejpam-7170	260	25	5	5	NUM
ejpam-7170	260	26	0	0	NUM
ejpam-7170	260	27	1	1	NUM
ejpam-7170	260	28	0	0	NUM
ejpam-7170	260	29	325	325	NUM
ejpam-7170	260	30	102	102	NUM
ejpam-7170	260	31	dominated	dominate	VERB
ejpam-7170	260	32	2	2	NUM
ejpam-7170	260	33	4	4	NUM
ejpam-7170	260	34	0	0	NUM
ejpam-7170	260	35	0	0	NUM
ejpam-7170	260	36	295	295	NUM
ejpam-7170	260	37	107	107	NUM
ejpam-7170	260	38	dominated	dominate	VERB
ejpam-7170	260	39	fdoa	fdoa	NOUN
ejpam-7170	261	1	1	1	NUM
ejpam-7170	261	2	2	2	NUM
ejpam-7170	261	3	1	1	NUM
ejpam-7170	261	4	2	2	NUM
ejpam-7170	261	5	270	270	NUM
ejpam-7170	261	6	120	120	NUM
ejpam-7170	261	7	nd	nd	NUM
ejpam-7170	261	8	2	2	NUM
ejpam-7170	261	9	2	2	NUM
ejpam-7170	261	10	1	1	NUM
ejpam-7170	261	11	1	1	NUM
ejpam-7170	261	12	275	275	NUM
ejpam-7170	261	13	126	126	NUM
ejpam-7170	261	14	nd	nd	NUM
ejpam-7170	261	15	2	2	NUM
ejpam-7170	261	16	3	3	NUM
ejpam-7170	261	17	1	1	NUM
ejpam-7170	261	18	0	0	NUM
ejpam-7170	261	19	280	280	NUM
ejpam-7170	261	20	129	129	NUM
ejpam-7170	261	21	nd	nd	PRON
ejpam-7170	261	22	egaa	egaa	VERB
ejpam-7170	261	23	1	1	NUM
ejpam-7170	261	24	2	2	NUM
ejpam-7170	261	25	1	1	NUM
ejpam-7170	261	26	2	2	NUM
ejpam-7170	261	27	270	270	NUM
ejpam-7170	261	28	120	120	NUM
ejpam-7170	261	29	nd	nd	NUM
ejpam-7170	261	30	2	2	NUM
ejpam-7170	261	31	2	2	NUM
ejpam-7170	261	32	1	1	NUM
ejpam-7170	261	33	1	1	NUM
ejpam-7170	261	34	275	275	NUM
ejpam-7170	261	35	126	126	NUM
ejpam-7170	261	36	nd	nd	NUM
ejpam-7170	261	37	2	2	NUM
ejpam-7170	261	38	3	3	NUM
ejpam-7170	261	39	1	1	NUM
ejpam-7170	261	40	0	0	NUM
ejpam-7170	261	41	280	280	NUM
ejpam-7170	261	42	129	129	NUM
ejpam-7170	261	43	nd	nd	NUM
ejpam-7170	261	44	k	k	NOUN
ejpam-7170	261	45	-	-	PUNCT
ejpam-7170	261	46	means	means	PROPN
ejpam-7170	261	47	-	-	PUNCT
ejpam-7170	261	48	ga	ga	NOUN
ejpam-7170	261	49	1	1	NUM
ejpam-7170	261	50	2	2	NUM
ejpam-7170	261	51	1	1	NUM
ejpam-7170	261	52	2	2	NUM
ejpam-7170	261	53	270	270	NUM
ejpam-7170	261	54	120	120	NUM
ejpam-7170	261	55	nd	nd	NUM
ejpam-7170	261	56	2	2	NUM
ejpam-7170	261	57	2	2	NUM
ejpam-7170	261	58	1	1	NUM
ejpam-7170	261	59	1	1	NUM
ejpam-7170	261	60	275	275	NUM
ejpam-7170	261	61	126	126	NUM
ejpam-7170	261	62	nd	nd	NUM
ejpam-7170	261	63	2	2	NUM
ejpam-7170	261	64	3	3	NUM
ejpam-7170	261	65	1	1	NUM
ejpam-7170	261	66	0	0	NUM
ejpam-7170	261	67	280	280	NUM
ejpam-7170	261	68	129	129	NUM
ejpam-7170	261	69	nd	nd	NUM
ejpam-7170	261	70	proposed	propose	VERB
ejpam-7170	262	1	ga	ga	PROPN
ejpam-7170	262	2	-	-	PUNCT
ejpam-7170	262	3	hm	hm	INTJ
ejpam-7170	262	4	1	1	NUM
ejpam-7170	262	5	2	2	NUM
ejpam-7170	262	6	1	1	NUM
ejpam-7170	262	7	2	2	NUM
ejpam-7170	262	8	270	270	NUM
ejpam-7170	262	9	120	120	NUM
ejpam-7170	262	10	nd	nd	NUM
ejpam-7170	262	11	2	2	NUM
ejpam-7170	262	12	2	2	NUM
ejpam-7170	262	13	1	1	NUM
ejpam-7170	262	14	1	1	NUM
ejpam-7170	262	15	275	275	NUM
ejpam-7170	262	16	126	126	NUM
ejpam-7170	262	17	nd	nd	NUM
ejpam-7170	262	18	2	2	NUM
ejpam-7170	262	19	3	3	NUM
ejpam-7170	262	20	1	1	NUM
ejpam-7170	262	21	0	0	NUM
ejpam-7170	262	22	280	280	NUM
ejpam-7170	262	23	129	129	NUM
ejpam-7170	262	24	nd	nd	NUM
ejpam-7170	262	25	the	the	DET
ejpam-7170	262	26	results	result	NOUN
ejpam-7170	262	27	for	for	ADP
ejpam-7170	262	28	test	test	NOUN
ejpam-7170	262	29	problem	problem	NOUN
ejpam-7170	262	30	1	1	NUM
ejpam-7170	262	31	demonstrate	demonstrate	VERB
ejpam-7170	262	32	that	that	SCONJ
ejpam-7170	262	33	ga	ga	PROPN
ejpam-7170	262	34	-	-	PUNCT
ejpam-7170	262	35	hm	hm	PROPN
ejpam-7170	262	36	consistently	consistently	ADV
ejpam-7170	262	37	identifies	identify	VERB
ejpam-7170	262	38	three	three	NUM
ejpam-7170	262	39	m.a	m.a	PROPN
ejpam-7170	262	40	.	.	PROPN
ejpam-7170	262	41	el	el	PROPN
ejpam-7170	262	42	-	-	PROPN
ejpam-7170	262	43	shorbagy	shorbagy	PROPN
ejpam-7170	262	44	et	et	PROPN
ejpam-7170	262	45	al	al	PROPN
ejpam-7170	262	46	.	.	PUNCT
ejpam-7170	262	47	/	/	SYM
ejpam-7170	262	48	eur	eur	PROPN
ejpam-7170	262	49	.	.	PUNCT
ejpam-7170	263	1	j.	j.	PROPN
ejpam-7170	263	2	pure	pure	PROPN
ejpam-7170	263	3	appl	appl	PROPN
ejpam-7170	263	4	.	.	PROPN
ejpam-7170	263	5	math	math	PROPN
ejpam-7170	263	6	,	,	PUNCT
ejpam-7170	263	7	18	18	NUM
ejpam-7170	263	8	(	(	PUNCT
ejpam-7170	263	9	4	4	NUM
ejpam-7170	263	10	)	)	PUNCT
ejpam-7170	263	11	(	(	PUNCT
ejpam-7170	263	12	2025	2025	NUM
ejpam-7170	263	13	)	)	PUNCT
ejpam-7170	263	14	,	,	PUNCT
ejpam-7170	263	15	7170	7170	NUM
ejpam-7170	263	16	14	14	NUM
ejpam-7170	263	17	of	of	ADP
ejpam-7170	263	18	21	21	NUM
ejpam-7170	263	19	non	non	ADJ
ejpam-7170	263	20	-	-	ADJ
ejpam-7170	263	21	dominated	dominated	ADJ
ejpam-7170	263	22	solutions	solution	NOUN
ejpam-7170	263	23	,	,	PUNCT
ejpam-7170	263	24	similar	similar	ADJ
ejpam-7170	263	25	to	to	ADP
ejpam-7170	263	26	fdoa	fdoa	NOUN
ejpam-7170	263	27	,	,	PUNCT
ejpam-7170	263	28	egaa	egaa	ADV
ejpam-7170	263	29	,	,	PUNCT
ejpam-7170	263	30	and	and	CCONJ
ejpam-7170	263	31	k	k	X
ejpam-7170	263	32	-	-	PUNCT
ejpam-7170	263	33	means	means	NOUN
ejpam-7170	263	34	-	-	PUNCT
ejpam-7170	263	35	based	base	VERB
ejpam-7170	263	36	ga	ga	PROPN
ejpam-7170	263	37	,	,	PUNCT
ejpam-7170	263	38	while	while	SCONJ
ejpam-7170	263	39	fdp	fdp	PROPN
ejpam-7170	263	40	falls	fall	VERB
ejpam-7170	263	41	behind	behind	ADV
ejpam-7170	263	42	with	with	ADP
ejpam-7170	263	43	only	only	ADV
ejpam-7170	263	44	one	one	NUM
ejpam-7170	263	45	.	.	PUNCT
ejpam-7170	264	1	this	this	PRON
ejpam-7170	264	2	indicates	indicate	VERB
ejpam-7170	264	3	that	that	SCONJ
ejpam-7170	264	4	ga	ga	PROPN
ejpam-7170	264	5	-	-	PROPN
ejpam-7170	264	6	hm	hm	INTJ
ejpam-7170	264	7	not	not	PART
ejpam-7170	264	8	only	only	ADV
ejpam-7170	264	9	ensures	ensure	VERB
ejpam-7170	264	10	competitive	competitive	ADJ
ejpam-7170	264	11	performance	performance	NOUN
ejpam-7170	264	12	but	but	CCONJ
ejpam-7170	264	13	also	also	ADV
ejpam-7170	264	14	achieves	achieve	VERB
ejpam-7170	264	15	a	a	DET
ejpam-7170	264	16	balanced	balanced	ADJ
ejpam-7170	264	17	trade	trade	NOUN
ejpam-7170	264	18	-	-	PUNCT
ejpam-7170	264	19	off	off	NOUN
ejpam-7170	264	20	between	between	ADP
ejpam-7170	264	21	cost	cost	NOUN
ejpam-7170	264	22	and	and	CCONJ
ejpam-7170	264	23	efficiency	efficiency	NOUN
ejpam-7170	264	24	.	.	PUNCT
ejpam-7170	265	1	importantly	importantly	ADV
ejpam-7170	265	2	,	,	PUNCT
ejpam-7170	265	3	the	the	DET
ejpam-7170	265	4	dominated	dominate	VERB
ejpam-7170	265	5	solutions	solution	NOUN
ejpam-7170	265	6	produced	produce	VERB
ejpam-7170	265	7	by	by	ADP
ejpam-7170	265	8	fdp	fdp	PROPN
ejpam-7170	265	9	highlight	highlight	VERB
ejpam-7170	265	10	the	the	DET
ejpam-7170	265	11	limitations	limitation	NOUN
ejpam-7170	265	12	of	of	ADP
ejpam-7170	265	13	dynamic	dynamic	ADJ
ejpam-7170	265	14	programming	programming	NOUN
ejpam-7170	265	15	in	in	ADP
ejpam-7170	265	16	handling	handle	VERB
ejpam-7170	265	17	multi	multi	ADJ
ejpam-7170	265	18	-	-	ADJ
ejpam-7170	265	19	objective	objective	ADJ
ejpam-7170	265	20	trade	trade	NOUN
ejpam-7170	265	21	-	-	PUNCT
ejpam-7170	265	22	offs	off	NOUN
ejpam-7170	265	23	,	,	PUNCT
ejpam-7170	265	24	while	while	SCONJ
ejpam-7170	265	25	the	the	DET
ejpam-7170	265	26	hybridization	hybridization	NOUN
ejpam-7170	265	27	in	in	ADP
ejpam-7170	265	28	ga	ga	PROPN
ejpam-7170	265	29	-	-	PUNCT
ejpam-7170	265	30	hm	hm	PROPN
ejpam-7170	265	31	enhances	enhance	VERB
ejpam-7170	265	32	exploration	exploration	NOUN
ejpam-7170	265	33	.	.	PUNCT
ejpam-7170	266	1	the	the	DET
ejpam-7170	266	2	graphical	graphical	ADJ
ejpam-7170	266	3	representation	representation	NOUN
ejpam-7170	266	4	(	(	PUNCT
ejpam-7170	266	5	figure	figure	NOUN
ejpam-7170	266	6	7	7	NUM
ejpam-7170	266	7	)	)	PUNCT
ejpam-7170	266	8	further	far	ADV
ejpam-7170	266	9	illustrates	illustrate	VERB
ejpam-7170	266	10	that	that	SCONJ
ejpam-7170	266	11	ga	ga	PROPN
ejpam-7170	266	12	-	-	PUNCT
ejpam-7170	266	13	hm	hm	PROPN
ejpam-7170	266	14	solutions	solution	NOUN
ejpam-7170	266	15	are	be	AUX
ejpam-7170	266	16	well	well	ADV
ejpam-7170	266	17	-	-	PUNCT
ejpam-7170	266	18	distributed	distribute	VERB
ejpam-7170	266	19	across	across	ADP
ejpam-7170	266	20	the	the	DET
ejpam-7170	266	21	pareto	pareto	ADJ
ejpam-7170	266	22	front	front	NOUN
ejpam-7170	266	23	,	,	PUNCT
ejpam-7170	266	24	ensuring	ensure	VERB
ejpam-7170	266	25	decision	decision	NOUN
ejpam-7170	266	26	-	-	PUNCT
ejpam-7170	266	27	makers	maker	NOUN
ejpam-7170	266	28	have	have	VERB
ejpam-7170	266	29	more	more	ADJ
ejpam-7170	266	30	flexibility	flexibility	NOUN
ejpam-7170	266	31	depending	depend	VERB
ejpam-7170	266	32	on	on	ADP
ejpam-7170	266	33	priorities	priority	NOUN
ejpam-7170	266	34	(	(	PUNCT
ejpam-7170	266	35	cost	cost	NOUN
ejpam-7170	266	36	minimization	minimization	NOUN
ejpam-7170	266	37	vs	vs	ADP
ejpam-7170	266	38	efficiency	efficiency	NOUN
ejpam-7170	266	39	maximization	maximization	NOUN
ejpam-7170	266	40	)	)	PUNCT
ejpam-7170	266	41	.	.	PUNCT
ejpam-7170	267	1	figure	figure	VERB
ejpam-7170	267	2	7	7	NUM
ejpam-7170	267	3	:	:	PUNCT
ejpam-7170	267	4	the	the	DET
ejpam-7170	267	5	graphical	graphical	ADJ
ejpam-7170	267	6	representation	representation	NOUN
ejpam-7170	267	7	of	of	ADP
ejpam-7170	267	8	table	table	NOUN
ejpam-7170	267	9	3	3	NUM
ejpam-7170	267	10	’s	’s	PART
ejpam-7170	267	11	solutions	solution	NOUN
ejpam-7170	267	12	.	.	PUNCT
ejpam-7170	268	1	test	test	NOUN
ejpam-7170	268	2	problem	problem	NOUN
ejpam-7170	268	3	2	2	NUM
ejpam-7170	269	1	[	[	X
ejpam-7170	269	2	23	23	NUM
ejpam-7170	269	3	]	]	X
ejpam-7170	269	4	:	:	PUNCT
ejpam-7170	269	5	test	test	NOUN
ejpam-7170	269	6	problem	problem	NOUN
ejpam-7170	269	7	2	2	NUM
ejpam-7170	269	8	involves	involve	VERB
ejpam-7170	269	9	assigning	assign	VERB
ejpam-7170	269	10	ten	ten	NUM
ejpam-7170	269	11	workers	worker	NOUN
ejpam-7170	269	12	to	to	ADP
ejpam-7170	269	13	four	four	NUM
ejpam-7170	269	14	specific	specific	ADJ
ejpam-7170	269	15	tasks	task	NOUN
ejpam-7170	269	16	.	.	PUNCT
ejpam-7170	270	1	the	the	DET
ejpam-7170	270	2	anticipated	anticipate	VERB
ejpam-7170	270	3	expense	expense	NOUN
ejpam-7170	270	4	and	and	CCONJ
ejpam-7170	270	5	efficiency	efficiency	NOUN
ejpam-7170	270	6	are	be	AUX
ejpam-7170	270	7	shown	show	VERB
ejpam-7170	270	8	in	in	ADP
ejpam-7170	270	9	table	table	NOUN
ejpam-7170	270	10	4	4	NUM
ejpam-7170	270	11	.	.	PUNCT
ejpam-7170	271	1	m.a	m.a	PROPN
ejpam-7170	271	2	.	.	PROPN
ejpam-7170	271	3	el	el	PROPN
ejpam-7170	271	4	-	-	PROPN
ejpam-7170	271	5	shorbagy	shorbagy	PROPN
ejpam-7170	271	6	et	et	PROPN
ejpam-7170	271	7	al	al	PROPN
ejpam-7170	271	8	.	.	PUNCT
ejpam-7170	271	9	/	/	SYM
ejpam-7170	271	10	eur	eur	PROPN
ejpam-7170	271	11	.	.	PUNCT
ejpam-7170	272	1	j.	j.	PROPN
ejpam-7170	272	2	pure	pure	PROPN
ejpam-7170	272	3	appl	appl	PROPN
ejpam-7170	272	4	.	.	PROPN
ejpam-7170	272	5	math	math	PROPN
ejpam-7170	272	6	,	,	PUNCT
ejpam-7170	272	7	18	18	NUM
ejpam-7170	272	8	(	(	PUNCT
ejpam-7170	272	9	4	4	NUM
ejpam-7170	272	10	)	)	PUNCT
ejpam-7170	272	11	(	(	PUNCT
ejpam-7170	272	12	2025	2025	NUM
ejpam-7170	272	13	)	)	PUNCT
ejpam-7170	272	14	,	,	PUNCT
ejpam-7170	272	15	7170	7170	NUM
ejpam-7170	272	16	15	15	NUM
ejpam-7170	272	17	of	of	ADP
ejpam-7170	272	18	21	21	NUM
ejpam-7170	272	19	table	table	NOUN
ejpam-7170	272	20	4	4	NUM
ejpam-7170	272	21	:	:	PUNCT
ejpam-7170	272	22	test	test	NOUN
ejpam-7170	272	23	problem	problem	NOUN
ejpam-7170	272	24	2	2	NUM
ejpam-7170	272	25	’s	’s	PART
ejpam-7170	272	26	expected	expect	VERB
ejpam-7170	272	27	cost	cost	NOUN
ejpam-7170	272	28	and	and	CCONJ
ejpam-7170	272	29	efficiency	efficiency	NOUN
ejpam-7170	272	30	number	number	NOUN
ejpam-7170	272	31	of	of	ADP
ejpam-7170	272	32	workers	worker	NOUN
ejpam-7170	272	33	task	task	NOUN
ejpam-7170	272	34	1	1	NUM
ejpam-7170	272	35	2	2	NUM
ejpam-7170	272	36	3	3	NUM
ejpam-7170	272	37	4	4	NUM
ejpam-7170	272	38	cost	cost	NOUN
ejpam-7170	272	39	eff	eff	PROPN
ejpam-7170	272	40	.	.	PUNCT
ejpam-7170	273	1	cost	cost	PROPN
ejpam-7170	273	2	eff	eff	PROPN
ejpam-7170	273	3	.	.	PUNCT
ejpam-7170	274	1	cost	cost	PROPN
ejpam-7170	274	2	eff	eff	PROPN
ejpam-7170	274	3	.	.	PUNCT
ejpam-7170	275	1	cost	cost	PROPN
ejpam-7170	275	2	eff	eff	PROPN
ejpam-7170	275	3	.	.	PROPN
ejpam-7170	275	4	00	00	PROPN
ejpam-7170	276	1	41.00	41.00	NUM
ejpam-7170	277	1	0.00	0.00	NUM
ejpam-7170	277	2	45.00	45.00	NUM
ejpam-7170	277	3	0.00	0.00	NUM
ejpam-7170	277	4	36.00	36.00	NUM
ejpam-7170	277	5	0.00	0.00	NUM
ejpam-7170	277	6	46.00	46.00	NUM
ejpam-7170	277	7	0.00	0.00	NUM
ejpam-7170	277	8	01	01	NUM
ejpam-7170	277	9	38.00	38.00	NUM
ejpam-7170	277	10	37.00	37.00	NUM
ejpam-7170	277	11	54.00	54.00	NUM
ejpam-7170	277	12	49.00	49.00	NUM
ejpam-7170	277	13	43.00	43.00	NUM
ejpam-7170	277	14	45.00	45.00	NUM
ejpam-7170	277	15	78.00	78.00	NUM
ejpam-7170	277	16	60.00	60.00	NUM
ejpam-7170	277	17	02	02	NUM
ejpam-7170	277	18	46.00	46.00	NUM
ejpam-7170	277	19	42.00	42.00	NUM
ejpam-7170	278	1	36.00	36.00	NUM
ejpam-7170	278	2	55.00	55.00	NUM
ejpam-7170	278	3	68.00	68.00	NUM
ejpam-7170	278	4	49.00	49.00	NUM
ejpam-7170	278	5	88.00	88.00	NUM
ejpam-7170	278	6	67.00	67.00	NUM
ejpam-7170	278	7	03	03	NUM
ejpam-7170	278	8	32.00	32.00	NUM
ejpam-7170	278	9	50.00	50.00	NUM
ejpam-7170	278	10	55.00	55.00	NUM
ejpam-7170	278	11	59.00	59.00	NUM
ejpam-7170	278	12	56.00	56.00	NUM
ejpam-7170	278	13	57.00	57.00	NUM
ejpam-7170	278	14	64.00	64.00	NUM
ejpam-7170	278	15	72.00	72.00	NUM
ejpam-7170	278	16	04	04	NUM
ejpam-7170	278	17	78.00	78.00	NUM
ejpam-7170	278	18	54.00	54.00	NUM
ejpam-7170	278	19	87.00	87.00	NUM
ejpam-7170	278	20	62.00	62.00	NUM
ejpam-7170	278	21	72.00	72.00	NUM
ejpam-7170	278	22	64.00	64.00	NUM
ejpam-7170	278	23	90.00	90.00	NUM
ejpam-7170	278	24	79.00	79.00	NUM
ejpam-7170	278	25	05	05	NUM
ejpam-7170	278	26	76.00	76.00	NUM
ejpam-7170	278	27	56.00	56.00	NUM
ejpam-7170	278	28	82.00	82.00	NUM
ejpam-7170	278	29	67.00	67.00	NUM
ejpam-7170	278	30	59.00	59.00	NUM
ejpam-7170	278	31	77.00	77.00	NUM
ejpam-7170	278	32	80.00	80.00	NUM
ejpam-7170	278	33	83.00	83.00	NUM
ejpam-7170	278	34	06	06	NUM
ejpam-7170	278	35	72.00	72.00	NUM
ejpam-7170	278	36	58.00	58.00	NUM
ejpam-7170	278	37	90.00	90.00	NUM
ejpam-7170	278	38	73.00	73.00	NUM
ejpam-7170	278	39	32.00	32.00	NUM
ejpam-7170	278	40	88.00	88.00	NUM
ejpam-7170	278	41	120.00	120.00	NUM
ejpam-7170	278	42	88.00	88.00	NUM
ejpam-7170	278	43	07	07	NUM
ejpam-7170	278	44	84.00	84.00	NUM
ejpam-7170	278	45	65.00	65.00	NUM
ejpam-7170	278	46	132.00	132.00	NUM
ejpam-7170	278	47	80.00	80.00	NUM
ejpam-7170	278	48	67.00	67.00	NUM
ejpam-7170	278	49	92.00	92.00	NUM
ejpam-7170	278	50	104.00	104.00	NUM
ejpam-7170	278	51	97.00	97.00	NUM
ejpam-7170	278	52	08	08	NUM
ejpam-7170	278	53	80.00	80.00	NUM
ejpam-7170	278	54	72.00	72.00	NUM
ejpam-7170	278	55	97.00	97.00	NUM
ejpam-7170	278	56	87.00	87.00	NUM
ejpam-7170	278	57	86.00	86.00	NUM
ejpam-7170	278	58	100.00	100.00	NUM
ejpam-7170	278	59	96.00	96.00	NUM
ejpam-7170	278	60	102.00	102.00	NUM
ejpam-7170	278	61	09	09	NUM
ejpam-7170	278	62	92.00	92.00	NUM
ejpam-7170	278	63	80.00	80.00	NUM
ejpam-7170	278	64	121.00	121.00	NUM
ejpam-7170	278	65	95.00	95.00	NUM
ejpam-7170	278	66	88.00	88.00	NUM
ejpam-7170	278	67	105.00	105.00	NUM
ejpam-7170	278	68	86.00	86.00	NUM
ejpam-7170	278	69	110.00	110.00	NUM
ejpam-7170	278	70	10	10	NUM
ejpam-7170	278	71	96.00	96.00	NUM
ejpam-7170	278	72	95.00	95.00	NUM
ejpam-7170	278	73	134.00	134.00	NUM
ejpam-7170	278	74	102.00	102.00	NUM
ejpam-7170	278	75	100.00	100.00	NUM
ejpam-7170	278	76	110.00	110.00	NUM
ejpam-7170	278	77	120.00	120.00	NUM
ejpam-7170	278	78	120.00	120.00	NUM
ejpam-7170	279	1	this	this	DET
ejpam-7170	279	2	problem	problem	NOUN
ejpam-7170	279	3	is	be	AUX
ejpam-7170	279	4	solved	solve	VERB
ejpam-7170	279	5	by	by	ADP
ejpam-7170	279	6	multiobjective	multiobjective	ADJ
ejpam-7170	279	7	hybrid	hybrid	ADJ
ejpam-7170	279	8	genetic	genetic	ADJ
ejpam-7170	279	9	algorithm	algorithm	NOUN
ejpam-7170	279	10	(	(	PUNCT
ejpam-7170	279	11	mo	mo	PROPN
ejpam-7170	279	12	-	-	PUNCT
ejpam-7170	279	13	hga	hga	NOUN
ejpam-7170	279	14	)	)	PUNCT
ejpam-7170	280	1	[	[	X
ejpam-7170	280	2	23	23	NUM
ejpam-7170	280	3	]	]	PUNCT
ejpam-7170	280	4	,	,	PUNCT
ejpam-7170	280	5	kmeans	kmean	NOUN
ejpam-7170	280	6	-	-	PUNCT
ejpam-7170	280	7	clustering	clustering	ADJ
ejpam-7170	280	8	based	base	VERB
ejpam-7170	280	9	ga	ga	PROPN
ejpam-7170	281	1	[	[	X
ejpam-7170	281	2	34	34	NUM
ejpam-7170	281	3	]	]	PUNCT
ejpam-7170	281	4	,	,	PUNCT
ejpam-7170	281	5	and	and	CCONJ
ejpam-7170	281	6	the	the	DET
ejpam-7170	281	7	proposed	propose	VERB
ejpam-7170	281	8	ga	ga	PROPN
ejpam-7170	281	9	-	-	PUNCT
ejpam-7170	281	10	hm	hm	PROPN
ejpam-7170	281	11	algorithm	algorithm	PROPN
ejpam-7170	281	12	.	.	PUNCT
ejpam-7170	282	1	table	table	NOUN
ejpam-7170	282	2	5	5	NUM
ejpam-7170	282	3	explains	explain	VERB
ejpam-7170	282	4	a	a	DET
ejpam-7170	282	5	comparison	comparison	NOUN
ejpam-7170	282	6	of	of	ADP
ejpam-7170	282	7	the	the	DET
ejpam-7170	282	8	best	well	ADV
ejpam-7170	282	9	-	-	PUNCT
ejpam-7170	282	10	optimized	optimize	VERB
ejpam-7170	282	11	solution	solution	NOUN
ejpam-7170	282	12	that	that	PRON
ejpam-7170	282	13	obtained	obtain	VERB
ejpam-7170	282	14	by	by	ADP
ejpam-7170	282	15	these	these	DET
ejpam-7170	282	16	algorithms	algorithm	NOUN
ejpam-7170	282	17	.	.	PUNCT
ejpam-7170	283	1	while	while	SCONJ
ejpam-7170	283	2	the	the	DET
ejpam-7170	283	3	graphical	graphical	ADJ
ejpam-7170	283	4	representation	representation	NOUN
ejpam-7170	283	5	of	of	ADP
ejpam-7170	283	6	table	table	NOUN
ejpam-7170	283	7	5	5	NUM
ejpam-7170	283	8	’s	’s	PART
ejpam-7170	283	9	solutions	solution	NOUN
ejpam-7170	283	10	is	be	AUX
ejpam-7170	283	11	shown	show	VERB
ejpam-7170	283	12	in	in	ADP
ejpam-7170	283	13	figure	figure	NOUN
ejpam-7170	283	14	8	8	NUM
ejpam-7170	283	15	.	.	PUNCT
ejpam-7170	283	16	table	table	NOUN
ejpam-7170	283	17	5	5	NUM
ejpam-7170	283	18	:	:	PUNCT
ejpam-7170	283	19	solution	solution	NOUN
ejpam-7170	283	20	obtained	obtain	VERB
ejpam-7170	283	21	by	by	ADP
ejpam-7170	283	22	compared	compare	VERB
ejpam-7170	283	23	algorithms	algorithm	NOUN
ejpam-7170	283	24	for	for	ADP
ejpam-7170	283	25	test	test	NOUN
ejpam-7170	283	26	problem	problem	NOUN
ejpam-7170	283	27	2	2	NUM
ejpam-7170	283	28	method	method	NOUN
ejpam-7170	283	29	x1	x1	NOUN
ejpam-7170	283	30	x2	x2	PROPN
ejpam-7170	283	31	x3	x3	PROPN
ejpam-7170	283	32	x4	x4	PROPN
ejpam-7170	283	33	cost	cost	VERB
ejpam-7170	283	34	eff	eff	PROPN
ejpam-7170	283	35	.	.	PUNCT
ejpam-7170	284	1	type	type	NOUN
ejpam-7170	284	2	of	of	ADP
ejpam-7170	284	3	solution	solution	NOUN
ejpam-7170	284	4	type	type	NOUN
ejpam-7170	284	5	of	of	ADP
ejpam-7170	284	6	solution	solution	NOUN
ejpam-7170	284	7	after	after	SCONJ
ejpam-7170	284	8	combine	combine	PROPN
ejpam-7170	284	9	mo	mo	PROPN
ejpam-7170	284	10	-	-	PROPN
ejpam-7170	284	11	hga	hga	PROPN
ejpam-7170	284	12	3	3	NUM
ejpam-7170	284	13	2	2	NUM
ejpam-7170	284	14	1	1	NUM
ejpam-7170	284	15	4	4	NUM
ejpam-7170	284	16	201	201	NUM
ejpam-7170	284	17	229	229	NUM
ejpam-7170	284	18	nd	nd	ADV
ejpam-7170	284	19	dominated	dominate	VERB
ejpam-7170	284	20	0	0	NUM
ejpam-7170	284	21	2	2	NUM
ejpam-7170	284	22	6	6	NUM
ejpam-7170	284	23	2	2	NUM
ejpam-7170	284	24	197	197	NUM
ejpam-7170	284	25	210	210	NUM
ejpam-7170	284	26	nd	nd	VERB
ejpam-7170	284	27	dominated	dominate	VERB
ejpam-7170	284	28	3	3	NUM
ejpam-7170	284	29	2	2	NUM
ejpam-7170	284	30	5	5	NUM
ejpam-7170	284	31	0	0	NUM
ejpam-7170	284	32	173	173	NUM
ejpam-7170	284	33	182	182	NUM
ejpam-7170	284	34	dominated	dominate	VERB
ejpam-7170	284	35	dominated	dominate	VERB
ejpam-7170	284	36	3	3	NUM
ejpam-7170	284	37	1	1	NUM
ejpam-7170	284	38	6	6	NUM
ejpam-7170	284	39	0	0	NUM
ejpam-7170	284	40	164	164	NUM
ejpam-7170	284	41	187	187	NUM
ejpam-7170	284	42	nd	nd	INTJ
ejpam-7170	284	43	nd	nd	NOUN
ejpam-7170	284	44	1	1	NUM
ejpam-7170	284	45	1	1	NUM
ejpam-7170	284	46	6	6	NUM
ejpam-7170	284	47	2	2	NUM
ejpam-7170	284	48	212	212	NUM
ejpam-7170	284	49	241	241	NUM
ejpam-7170	284	50	nd	nd	ADV
ejpam-7170	284	51	dominated	dominate	VERB
ejpam-7170	284	52	1	1	NUM
ejpam-7170	284	53	1	1	NUM
ejpam-7170	284	54	5	5	NUM
ejpam-7170	284	55	3	3	NUM
ejpam-7170	284	56	215	215	NUM
ejpam-7170	284	57	235	235	NUM
ejpam-7170	284	58	dominated	dominate	VERB
ejpam-7170	284	59	dominated	dominate	VERB
ejpam-7170	284	60	0	0	NUM
ejpam-7170	284	61	1	1	NUM
ejpam-7170	284	62	6	6	NUM
ejpam-7170	284	63	3	3	NUM
ejpam-7170	284	64	191	191	NUM
ejpam-7170	284	65	209	209	NUM
ejpam-7170	284	66	nd	nd	VERB
ejpam-7170	284	67	dominated	dominate	VERB
ejpam-7170	284	68	k	k	ADJ
ejpam-7170	284	69	-	-	PUNCT
ejpam-7170	284	70	means	means	PROPN
ejpam-7170	284	71	-	-	PUNCT
ejpam-7170	284	72	ga	ga	NOUN
ejpam-7170	284	73	2	2	NUM
ejpam-7170	284	74	1	1	NUM
ejpam-7170	284	75	6	6	NUM
ejpam-7170	284	76	1	1	NUM
ejpam-7170	284	77	210	210	NUM
ejpam-7170	284	78	239	239	NUM
ejpam-7170	284	79	nd	nd	ADV
ejpam-7170	284	80	dominated	dominate	VERB
ejpam-7170	284	81	3	3	NUM
ejpam-7170	284	82	1	1	NUM
ejpam-7170	284	83	6	6	NUM
ejpam-7170	284	84	0	0	NUM
ejpam-7170	284	85	164	164	NUM
ejpam-7170	284	86	187	187	NUM
ejpam-7170	284	87	nd	nd	INTJ
ejpam-7170	284	88	nd	nd	NOUN
ejpam-7170	284	89	1	1	NUM
ejpam-7170	284	90	1	1	NUM
ejpam-7170	284	91	6	6	NUM
ejpam-7170	284	92	1	1	NUM
ejpam-7170	284	93	202	202	NUM
ejpam-7170	284	94	234	234	NUM
ejpam-7170	284	95	nd	nd	VERB
ejpam-7170	284	96	dominated	dominate	VERB
ejpam-7170	284	97	3	3	NUM
ejpam-7170	284	98	2	2	NUM
ejpam-7170	284	99	2	2	NUM
ejpam-7170	284	100	3	3	NUM
ejpam-7170	284	101	200	200	NUM
ejpam-7170	284	102	226	226	NUM
ejpam-7170	284	103	nd	nd	VERB
ejpam-7170	284	104	dominated	dominate	VERB
ejpam-7170	284	105	3	3	NUM
ejpam-7170	284	106	2	2	NUM
ejpam-7170	284	107	1	1	NUM
ejpam-7170	284	108	0	0	NUM
ejpam-7170	284	109	157	157	NUM
ejpam-7170	284	110	150	150	NUM
ejpam-7170	284	111	nd	nd	NOUN
ejpam-7170	284	112	nd	nd	NOUN
ejpam-7170	284	113	3	3	NUM
ejpam-7170	284	114	2	2	NUM
ejpam-7170	284	115	1	1	NUM
ejpam-7170	284	116	3	3	NUM
ejpam-7170	284	117	175	175	NUM
ejpam-7170	284	118	222	222	NUM
ejpam-7170	284	119	nd	nd	NOUN
ejpam-7170	284	120	nd	nd	NOUN
ejpam-7170	284	121	2	2	NUM
ejpam-7170	284	122	2	2	NUM
ejpam-7170	284	123	6	6	NUM
ejpam-7170	284	124	0	0	NUM
ejpam-7170	284	125	160	160	NUM
ejpam-7170	284	126	185	185	NUM
ejpam-7170	284	127	nd	nd	VERB
ejpam-7170	284	128	dominated	dominate	VERB
ejpam-7170	284	129	0	0	NUM
ejpam-7170	284	130	2	2	NUM
ejpam-7170	284	131	6	6	NUM
ejpam-7170	284	132	0	0	NUM
ejpam-7170	284	133	155	155	NUM
ejpam-7170	284	134	143	143	NUM
ejpam-7170	285	1	nd	nd	INTJ
ejpam-7170	285	2	nd	nd	ADV
ejpam-7170	285	3	the	the	DET
ejpam-7170	285	4	proposed	propose	VERB
ejpam-7170	285	5	1	1	NUM
ejpam-7170	285	6	0	0	NUM
ejpam-7170	285	7	6	6	NUM
ejpam-7170	285	8	3	3	NUM
ejpam-7170	285	9	179	179	NUM
ejpam-7170	285	10	197	197	NUM
ejpam-7170	285	11	nd	nd	NUM
ejpam-7170	285	12	dominated	dominate	VERB
ejpam-7170	285	13	ga	ga	PROPN
ejpam-7170	285	14	-	-	PROPN
ejpam-7170	285	15	hm	hm	NOUN
ejpam-7170	285	16	0	0	NUM
ejpam-7170	285	17	9	9	NUM
ejpam-7170	285	18	1	1	NUM
ejpam-7170	285	19	0	0	NUM
ejpam-7170	285	20	151	151	NUM
ejpam-7170	285	21	140	140	NUM
ejpam-7170	285	22	nd	nd	PRON
ejpam-7170	285	23	nd	nd	NOUN
ejpam-7170	285	24	algorithm	algorithm	NOUN
ejpam-7170	285	25	1	1	NUM
ejpam-7170	285	26	9	9	NUM
ejpam-7170	285	27	0	0	NUM
ejpam-7170	285	28	0	0	NUM
ejpam-7170	285	29	141	141	NUM
ejpam-7170	285	30	132	132	NUM
ejpam-7170	285	31	nd	nd	INTJ
ejpam-7170	285	32	nd	nd	NOUN
ejpam-7170	285	33	3	3	NUM
ejpam-7170	285	34	1	1	NUM
ejpam-7170	285	35	6	6	NUM
ejpam-7170	285	36	0	0	NUM
ejpam-7170	285	37	164	164	NUM
ejpam-7170	285	38	187	187	NUM
ejpam-7170	285	39	nd	nd	INTJ
ejpam-7170	285	40	nd	nd	NOUN
ejpam-7170	285	41	2	2	NUM
ejpam-7170	285	42	2	2	NUM
ejpam-7170	285	43	6	6	NUM
ejpam-7170	285	44	0	0	NUM
ejpam-7170	285	45	160	160	NUM
ejpam-7170	285	46	185	185	NUM
ejpam-7170	285	47	nd	nd	NOUN
ejpam-7170	285	48	nd	nd	NOUN
ejpam-7170	285	49	1	1	NUM
ejpam-7170	285	50	2	2	NUM
ejpam-7170	285	51	6	6	NUM
ejpam-7170	285	52	1	1	NUM
ejpam-7170	285	53	184	184	NUM
ejpam-7170	285	54	240	240	NUM
ejpam-7170	285	55	nd	nd	NOUN
ejpam-7170	285	56	nd	nd	NOUN
ejpam-7170	285	57	1	1	NUM
ejpam-7170	285	58	1	1	NUM
ejpam-7170	285	59	6	6	NUM
ejpam-7170	285	60	2	2	NUM
ejpam-7170	285	61	212	212	NUM
ejpam-7170	285	62	241	241	NUM
ejpam-7170	285	63	nd	nd	INTJ
ejpam-7170	285	64	nd	nd	PRON
ejpam-7170	285	65	m.a	m.a	PROPN
ejpam-7170	285	66	.	.	PROPN
ejpam-7170	285	67	el	el	PROPN
ejpam-7170	285	68	-	-	PROPN
ejpam-7170	285	69	shorbagy	shorbagy	PROPN
ejpam-7170	285	70	et	et	PROPN
ejpam-7170	285	71	al	al	PROPN
ejpam-7170	285	72	.	.	PUNCT
ejpam-7170	285	73	/	/	SYM
ejpam-7170	285	74	eur	eur	PROPN
ejpam-7170	285	75	.	.	PUNCT
ejpam-7170	286	1	j.	j.	PROPN
ejpam-7170	286	2	pure	pure	PROPN
ejpam-7170	286	3	appl	appl	PROPN
ejpam-7170	286	4	.	.	PROPN
ejpam-7170	286	5	math	math	PROPN
ejpam-7170	286	6	,	,	PUNCT
ejpam-7170	286	7	18	18	NUM
ejpam-7170	286	8	(	(	PUNCT
ejpam-7170	286	9	4	4	NUM
ejpam-7170	286	10	)	)	PUNCT
ejpam-7170	286	11	(	(	PUNCT
ejpam-7170	286	12	2025	2025	NUM
ejpam-7170	286	13	)	)	PUNCT
ejpam-7170	286	14	,	,	PUNCT
ejpam-7170	286	15	7170	7170	NUM
ejpam-7170	286	16	16	16	NUM
ejpam-7170	286	17	of	of	ADP
ejpam-7170	286	18	21	21	NUM
ejpam-7170	286	19	figure	figure	NOUN
ejpam-7170	286	20	8	8	NUM
ejpam-7170	286	21	:	:	PUNCT
ejpam-7170	286	22	the	the	DET
ejpam-7170	286	23	graphical	graphical	ADJ
ejpam-7170	286	24	representation	representation	NOUN
ejpam-7170	286	25	of	of	ADP
ejpam-7170	286	26	table	table	NOUN
ejpam-7170	286	27	5	5	NUM
ejpam-7170	286	28	’s	’s	PART
ejpam-7170	286	29	solutions	solution	NOUN
ejpam-7170	286	30	.	.	PUNCT
ejpam-7170	287	1	only	only	ADV
ejpam-7170	287	2	five	five	NUM
ejpam-7170	287	3	of	of	ADP
ejpam-7170	287	4	the	the	DET
ejpam-7170	287	5	seven	seven	NUM
ejpam-7170	287	6	solutions	solution	NOUN
ejpam-7170	287	7	that	that	PRON
ejpam-7170	287	8	mo	mo	PROPN
ejpam-7170	287	9	-	-	PUNCT
ejpam-7170	287	10	hga	hga	PROPN
ejpam-7170	287	11	was	be	AUX
ejpam-7170	287	12	able	able	ADJ
ejpam-7170	287	13	to	to	PART
ejpam-7170	287	14	obtain	obtain	VERB
ejpam-7170	287	15	are	be	AUX
ejpam-7170	287	16	non	non	ADJ
ejpam-7170	287	17	-	-	ADJ
ejpam-7170	287	18	dominated	dominated	ADJ
ejpam-7170	287	19	,	,	PUNCT
ejpam-7170	287	20	according	accord	VERB
ejpam-7170	287	21	to	to	ADP
ejpam-7170	287	22	the	the	DET
ejpam-7170	287	23	results	result	NOUN
ejpam-7170	287	24	.	.	PUNCT
ejpam-7170	288	1	in	in	ADP
ejpam-7170	288	2	contrast	contrast	NOUN
ejpam-7170	288	3	,	,	PUNCT
ejpam-7170	288	4	the	the	DET
ejpam-7170	288	5	suggested	suggest	VERB
ejpam-7170	288	6	ga	ga	PROPN
ejpam-7170	288	7	-	-	PUNCT
ejpam-7170	288	8	hm	hm	PROPN
ejpam-7170	288	9	method	method	NOUN
ejpam-7170	288	10	produced	produce	VERB
ejpam-7170	288	11	seven	seven	NUM
ejpam-7170	288	12	non	non	ADJ
ejpam-7170	288	13	-	-	ADJ
ejpam-7170	288	14	dominated	dominate	VERB
ejpam-7170	288	15	solutions	solution	NOUN
ejpam-7170	288	16	while	while	SCONJ
ejpam-7170	288	17	the	the	DET
ejpam-7170	288	18	k	k	NOUN
ejpam-7170	288	19	-	-	PUNCT
ejpam-7170	288	20	means	means	NOUN
ejpam-7170	288	21	-	-	PUNCT
ejpam-7170	288	22	clustering	cluster	VERB
ejpam-7170	288	23	based	base	VERB
ejpam-7170	288	24	ga	ga	PROPN
ejpam-7170	288	25	produced	produce	VERB
ejpam-7170	288	26	eight	eight	NUM
ejpam-7170	288	27	nondominated	nondominated	ADJ
ejpam-7170	288	28	solutions	solution	NOUN
ejpam-7170	288	29	.	.	PUNCT
ejpam-7170	289	1	but	but	CCONJ
ejpam-7170	289	2	,	,	PUNCT
ejpam-7170	289	3	when	when	SCONJ
ejpam-7170	289	4	we	we	PRON
ejpam-7170	289	5	aggregate	aggregate	VERB
ejpam-7170	289	6	all	all	PRON
ejpam-7170	289	7	of	of	ADP
ejpam-7170	289	8	the	the	DET
ejpam-7170	289	9	solutions	solution	NOUN
ejpam-7170	289	10	from	from	ADP
ejpam-7170	289	11	the	the	DET
ejpam-7170	289	12	three	three	NUM
ejpam-7170	289	13	algorithms	algorithm	NOUN
ejpam-7170	289	14	,	,	PUNCT
ejpam-7170	289	15	we	we	PRON
ejpam-7170	289	16	see	see	VERB
ejpam-7170	289	17	that	that	SCONJ
ejpam-7170	289	18	the	the	DET
ejpam-7170	289	19	ga	ga	PROPN
ejpam-7170	289	20	-	-	PUNCT
ejpam-7170	289	21	hm	hm	PROPN
ejpam-7170	289	22	approach	approach	NOUN
ejpam-7170	289	23	has	have	VERB
ejpam-7170	289	24	six	six	NUM
ejpam-7170	289	25	non	non	ADJ
ejpam-7170	289	26	-	-	ADJ
ejpam-7170	289	27	dominated	dominated	ADJ
ejpam-7170	289	28	solutions	solution	NOUN
ejpam-7170	289	29	,	,	PUNCT
ejpam-7170	289	30	whilst	whilst	SCONJ
ejpam-7170	289	31	the	the	DET
ejpam-7170	289	32	k	k	ADJ
ejpam-7170	289	33	-	-	PUNCT
ejpam-7170	289	34	means	means	NOUN
ejpam-7170	289	35	-	-	PUNCT
ejpam-7170	289	36	clustering	cluster	VERB
ejpam-7170	289	37	based	base	VERB
ejpam-7170	289	38	ga	ga	PROPN
ejpam-7170	289	39	has	have	VERB
ejpam-7170	289	40	four	four	NUM
ejpam-7170	289	41	,	,	PUNCT
ejpam-7170	289	42	and	and	CCONJ
ejpam-7170	289	43	the	the	DET
ejpam-7170	289	44	mo	mo	PROPN
ejpam-7170	289	45	-	-	PUNCT
ejpam-7170	289	46	hga	hga	PROPN
ejpam-7170	289	47	has	have	VERB
ejpam-7170	289	48	just	just	ADV
ejpam-7170	289	49	one	one	NUM
ejpam-7170	289	50	.	.	PUNCT
ejpam-7170	290	1	in	in	ADP
ejpam-7170	290	2	test	test	NOUN
ejpam-7170	290	3	problem	problem	NOUN
ejpam-7170	290	4	2	2	NUM
ejpam-7170	290	5	,	,	PUNCT
ejpam-7170	290	6	ga	ga	PROPN
ejpam-7170	290	7	-	-	PUNCT
ejpam-7170	290	8	hm	hm	PROPN
ejpam-7170	290	9	significantly	significantly	ADV
ejpam-7170	290	10	outperforms	outperform	VERB
ejpam-7170	290	11	mo	mo	PROPN
ejpam-7170	290	12	-	-	PUNCT
ejpam-7170	290	13	hga	hga	NOUN
ejpam-7170	290	14	by	by	ADP
ejpam-7170	290	15	producing	produce	VERB
ejpam-7170	290	16	six	six	NUM
ejpam-7170	290	17	nondominated	nondominated	ADJ
ejpam-7170	290	18	solutions	solution	NOUN
ejpam-7170	290	19	after	after	ADP
ejpam-7170	290	20	combination	combination	NOUN
ejpam-7170	290	21	,	,	PUNCT
ejpam-7170	290	22	compared	compare	VERB
ejpam-7170	290	23	to	to	ADP
ejpam-7170	290	24	only	only	ADV
ejpam-7170	290	25	one	one	NUM
ejpam-7170	290	26	from	from	ADP
ejpam-7170	290	27	mo	mo	PROPN
ejpam-7170	290	28	-	-	PUNCT
ejpam-7170	290	29	hga	hga	NOUN
ejpam-7170	290	30	.	.	PUNCT
ejpam-7170	291	1	this	this	PRON
ejpam-7170	291	2	underlines	underline	VERB
ejpam-7170	291	3	ga	ga	PROPN
ejpam-7170	291	4	-	-	PUNCT
ejpam-7170	291	5	hm	hm	PROPN
ejpam-7170	291	6	’s	’s	ADJ
ejpam-7170	291	7	superior	superior	ADJ
ejpam-7170	291	8	convergence	convergence	NOUN
ejpam-7170	291	9	and	and	CCONJ
ejpam-7170	291	10	diversity	diversity	NOUN
ejpam-7170	291	11	preservation	preservation	NOUN
ejpam-7170	291	12	.	.	PUNCT
ejpam-7170	292	1	while	while	SCONJ
ejpam-7170	292	2	k	k	NOUN
ejpam-7170	292	3	-	-	PUNCT
ejpam-7170	292	4	means	means	PROPN
ejpam-7170	292	5	ga	ga	PROPN
ejpam-7170	292	6	generated	generate	VERB
ejpam-7170	292	7	eight	eight	NUM
ejpam-7170	292	8	non	non	ADJ
ejpam-7170	292	9	-	-	ADJ
ejpam-7170	292	10	dominated	dominate	VERB
ejpam-7170	292	11	solutions	solution	NOUN
ejpam-7170	292	12	initially	initially	ADV
ejpam-7170	292	13	,	,	PUNCT
ejpam-7170	292	14	only	only	ADV
ejpam-7170	292	15	four	four	NUM
ejpam-7170	292	16	remained	remain	VERB
ejpam-7170	292	17	non	non	ADJ
ejpam-7170	292	18	-	-	ADJ
ejpam-7170	292	19	dominated	dominate	VERB
ejpam-7170	292	20	after	after	ADP
ejpam-7170	292	21	aggregation	aggregation	NOUN
ejpam-7170	292	22	,	,	PUNCT
ejpam-7170	292	23	suggesting	suggest	VERB
ejpam-7170	292	24	that	that	SCONJ
ejpam-7170	292	25	ga	ga	PROPN
ejpam-7170	292	26	-	-	PUNCT
ejpam-7170	292	27	hm	hm	PROPN
ejpam-7170	292	28	achieves	achieve	VERB
ejpam-7170	292	29	more	more	ADV
ejpam-7170	292	30	robust	robust	ADJ
ejpam-7170	292	31	performance	performance	NOUN
ejpam-7170	292	32	.	.	PUNCT
ejpam-7170	293	1	the	the	DET
ejpam-7170	293	2	ability	ability	NOUN
ejpam-7170	293	3	of	of	ADP
ejpam-7170	293	4	ga	ga	PROPN
ejpam-7170	293	5	-	-	PUNCT
ejpam-7170	293	6	hm	hm	PROPN
ejpam-7170	293	7	to	to	PART
ejpam-7170	293	8	capture	capture	VERB
ejpam-7170	293	9	solutions	solution	NOUN
ejpam-7170	293	10	that	that	SCONJ
ejpam-7170	293	11	other	other	ADJ
ejpam-7170	293	12	methods	method	NOUN
ejpam-7170	293	13	overlooked	overlook	VERB
ejpam-7170	293	14	demonstrates	demonstrate	VERB
ejpam-7170	293	15	its	its	PRON
ejpam-7170	293	16	strength	strength	NOUN
ejpam-7170	293	17	in	in	ADP
ejpam-7170	293	18	exploring	explore	VERB
ejpam-7170	293	19	the	the	DET
ejpam-7170	293	20	solution	solution	NOUN
ejpam-7170	293	21	space	space	NOUN
ejpam-7170	293	22	effectively	effectively	ADV
ejpam-7170	293	23	.	.	PUNCT
ejpam-7170	294	1	from	from	ADP
ejpam-7170	294	2	an	an	DET
ejpam-7170	294	3	engineering	engineering	NOUN
ejpam-7170	294	4	perspective	perspective	NOUN
ejpam-7170	294	5	,	,	PUNCT
ejpam-7170	294	6	this	this	PRON
ejpam-7170	294	7	implies	imply	VERB
ejpam-7170	294	8	more	more	ADV
ejpam-7170	294	9	reliable	reliable	ADJ
ejpam-7170	294	10	and	and	CCONJ
ejpam-7170	294	11	flexible	flexible	ADJ
ejpam-7170	294	12	workforce	workforce	NOUN
ejpam-7170	294	13	-	-	PUNCT
ejpam-7170	294	14	task	task	NOUN
ejpam-7170	294	15	allocation	allocation	NOUN
ejpam-7170	294	16	under	under	ADP
ejpam-7170	294	17	real	real	ADJ
ejpam-7170	294	18	constraints	constraint	NOUN
ejpam-7170	294	19	.	.	PUNCT
ejpam-7170	295	1	previous	previous	ADJ
ejpam-7170	295	2	comparisons	comparison	NOUN
ejpam-7170	295	3	clearly	clearly	ADV
ejpam-7170	295	4	show	show	VERB
ejpam-7170	295	5	that	that	SCONJ
ejpam-7170	295	6	the	the	DET
ejpam-7170	295	7	suggested	suggest	VERB
ejpam-7170	295	8	algorithm	algorithm	PROPN
ejpam-7170	295	9	’s	’s	PART
ejpam-7170	295	10	(	(	PUNCT
ejpam-7170	295	11	ga	ga	NOUN
ejpam-7170	295	12	-	-	PUNCT
ejpam-7170	295	13	hm	hm	NOUN
ejpam-7170	295	14	)	)	PUNCT
ejpam-7170	295	15	results	result	NOUN
ejpam-7170	295	16	are	be	AUX
ejpam-7170	295	17	superior	superior	ADJ
ejpam-7170	295	18	to	to	ADP
ejpam-7170	295	19	and	and	CCONJ
ejpam-7170	295	20	even	even	ADV
ejpam-7170	295	21	dominate	dominate	VERB
ejpam-7170	295	22	those	those	PRON
ejpam-7170	295	23	of	of	ADP
ejpam-7170	295	24	the	the	DET
ejpam-7170	295	25	other	other	ADJ
ejpam-7170	295	26	approaches	approach	NOUN
ejpam-7170	295	27	.	.	PUNCT
ejpam-7170	296	1	also	also	ADV
ejpam-7170	296	2	,	,	PUNCT
ejpam-7170	296	3	when	when	SCONJ
ejpam-7170	296	4	compared	compare	VERB
ejpam-7170	296	5	to	to	ADP
ejpam-7170	296	6	the	the	DET
ejpam-7170	296	7	other	other	ADJ
ejpam-7170	296	8	approaches	approach	NOUN
ejpam-7170	296	9	,	,	PUNCT
ejpam-7170	296	10	ga	ga	PROPN
ejpam-7170	296	11	-	-	PUNCT
ejpam-7170	296	12	hm	hm	PROPN
ejpam-7170	296	13	was	be	AUX
ejpam-7170	296	14	able	able	ADJ
ejpam-7170	296	15	to	to	PART
ejpam-7170	296	16	locate	locate	VERB
ejpam-7170	296	17	locations	location	NOUN
ejpam-7170	296	18	that	that	PRON
ejpam-7170	296	19	the	the	DET
ejpam-7170	296	20	others	other	NOUN
ejpam-7170	296	21	missed	miss	VERB
ejpam-7170	296	22	and	and	CCONJ
ejpam-7170	296	23	had	have	VERB
ejpam-7170	296	24	better	well	ADJ
ejpam-7170	296	25	distribution	distribution	NOUN
ejpam-7170	296	26	and	and	CCONJ
ejpam-7170	296	27	spread	spread	NOUN
ejpam-7170	296	28	.	.	PUNCT
ejpam-7170	297	1	because	because	SCONJ
ejpam-7170	297	2	of	of	ADP
ejpam-7170	297	3	this	this	PRON
ejpam-7170	297	4	,	,	PUNCT
ejpam-7170	297	5	the	the	DET
ejpam-7170	297	6	suggested	suggest	VERB
ejpam-7170	297	7	approach	approach	NOUN
ejpam-7170	297	8	is	be	AUX
ejpam-7170	297	9	in	in	ADP
ejpam-7170	297	10	a	a	DET
ejpam-7170	297	11	better	well	ADJ
ejpam-7170	297	12	position	position	NOUN
ejpam-7170	297	13	to	to	PART
ejpam-7170	297	14	shed	shed	VERB
ejpam-7170	297	15	light	light	NOUN
ejpam-7170	297	16	on	on	ADP
ejpam-7170	297	17	the	the	DET
ejpam-7170	297	18	current	current	ADJ
ejpam-7170	297	19	issues	issue	NOUN
ejpam-7170	297	20	and	and	CCONJ
ejpam-7170	297	21	other	other	ADJ
ejpam-7170	297	22	multi	multi	ADJ
ejpam-7170	297	23	-	-	ADJ
ejpam-7170	297	24	objective	objective	ADJ
ejpam-7170	297	25	resource	resource	NOUN
ejpam-7170	297	26	allocation	allocation	NOUN
ejpam-7170	297	27	challenges	challenge	NOUN
ejpam-7170	297	28	.	.	PUNCT
ejpam-7170	298	1	m.a	m.a	PROPN
ejpam-7170	298	2	.	.	PROPN
ejpam-7170	298	3	el	el	PROPN
ejpam-7170	298	4	-	-	PROPN
ejpam-7170	298	5	shorbagy	shorbagy	PROPN
ejpam-7170	298	6	et	et	PROPN
ejpam-7170	298	7	al	al	PROPN
ejpam-7170	298	8	.	.	PUNCT
ejpam-7170	298	9	/	/	SYM
ejpam-7170	298	10	eur	eur	PROPN
ejpam-7170	298	11	.	.	PUNCT
ejpam-7170	299	1	j.	j.	PROPN
ejpam-7170	299	2	pure	pure	PROPN
ejpam-7170	299	3	appl	appl	PROPN
ejpam-7170	299	4	.	.	PROPN
ejpam-7170	299	5	math	math	PROPN
ejpam-7170	299	6	,	,	PUNCT
ejpam-7170	299	7	18	18	NUM
ejpam-7170	299	8	(	(	PUNCT
ejpam-7170	299	9	4	4	NUM
ejpam-7170	299	10	)	)	PUNCT
ejpam-7170	299	11	(	(	PUNCT
ejpam-7170	299	12	2025	2025	NUM
ejpam-7170	299	13	)	)	PUNCT
ejpam-7170	299	14	,	,	PUNCT
ejpam-7170	299	15	7170	7170	NUM
ejpam-7170	299	16	17	17	NUM
ejpam-7170	299	17	of	of	ADP
ejpam-7170	299	18	21	21	NUM
ejpam-7170	299	19	this	this	PRON
ejpam-7170	299	20	can	can	AUX
ejpam-7170	299	21	be	be	AUX
ejpam-7170	299	22	explained	explain	VERB
ejpam-7170	299	23	by	by	ADP
ejpam-7170	299	24	the	the	DET
ejpam-7170	299	25	fact	fact	NOUN
ejpam-7170	299	26	that	that	SCONJ
ejpam-7170	299	27	the	the	DET
ejpam-7170	299	28	displacement	displacement	ADJ
ejpam-7170	299	29	mutation	mutation	NOUN
ejpam-7170	299	30	operator	operator	NOUN
ejpam-7170	299	31	moves	move	VERB
ejpam-7170	299	32	the	the	DET
ejpam-7170	299	33	chromosomal	chromosomal	ADJ
ejpam-7170	299	34	segments	segment	NOUN
ejpam-7170	299	35	to	to	ADP
ejpam-7170	299	36	new	new	ADJ
ejpam-7170	299	37	positions	position	NOUN
ejpam-7170	299	38	within	within	ADP
ejpam-7170	299	39	the	the	DET
ejpam-7170	299	40	solution	solution	NOUN
ejpam-7170	299	41	representation	representation	NOUN
ejpam-7170	299	42	.	.	PUNCT
ejpam-7170	300	1	this	this	DET
ejpam-7170	300	2	operation	operation	NOUN
ejpam-7170	300	3	promotes	promote	VERB
ejpam-7170	300	4	the	the	DET
ejpam-7170	300	5	exploration	exploration	NOUN
ejpam-7170	300	6	of	of	ADP
ejpam-7170	300	7	different	different	ADJ
ejpam-7170	300	8	regions	region	NOUN
ejpam-7170	300	9	of	of	ADP
ejpam-7170	300	10	the	the	DET
ejpam-7170	300	11	search	search	NOUN
ejpam-7170	300	12	space	space	NOUN
ejpam-7170	300	13	by	by	ADP
ejpam-7170	300	14	introducing	introduce	VERB
ejpam-7170	300	15	structural	structural	ADJ
ejpam-7170	300	16	diversity	diversity	NOUN
ejpam-7170	300	17	and	and	CCONJ
ejpam-7170	300	18	reducing	reduce	VERB
ejpam-7170	300	19	the	the	DET
ejpam-7170	300	20	risk	risk	NOUN
ejpam-7170	300	21	of	of	ADP
ejpam-7170	300	22	premature	premature	ADJ
ejpam-7170	300	23	convergence	convergence	NOUN
ejpam-7170	300	24	.	.	PUNCT
ejpam-7170	301	1	in	in	ADP
ejpam-7170	301	2	contrast	contrast	NOUN
ejpam-7170	301	3	,	,	PUNCT
ejpam-7170	301	4	the	the	DET
ejpam-7170	301	5	inversion	inversion	NOUN
ejpam-7170	301	6	mutation	mutation	NOUN
ejpam-7170	301	7	operator	operator	NOUN
ejpam-7170	301	8	reverses	reverse	VERB
ejpam-7170	301	9	the	the	DET
ejpam-7170	301	10	order	order	NOUN
ejpam-7170	301	11	of	of	ADP
ejpam-7170	301	12	selected	select	VERB
ejpam-7170	301	13	gene	gene	NOUN
ejpam-7170	301	14	segments	segment	NOUN
ejpam-7170	301	15	,	,	PUNCT
ejpam-7170	301	16	generating	generate	VERB
ejpam-7170	301	17	new	new	ADJ
ejpam-7170	301	18	solution	solution	NOUN
ejpam-7170	301	19	patterns	pattern	NOUN
ejpam-7170	301	20	that	that	PRON
ejpam-7170	301	21	can	can	AUX
ejpam-7170	301	22	reveal	reveal	VERB
ejpam-7170	301	23	alternative	alternative	ADJ
ejpam-7170	301	24	combinations	combination	NOUN
ejpam-7170	301	25	of	of	ADP
ejpam-7170	301	26	variables	variable	NOUN
ejpam-7170	301	27	or	or	CCONJ
ejpam-7170	301	28	sequences	sequence	NOUN
ejpam-7170	301	29	,	,	PUNCT
ejpam-7170	301	30	potentially	potentially	ADV
ejpam-7170	301	31	leading	lead	VERB
ejpam-7170	301	32	to	to	ADP
ejpam-7170	301	33	higher	high	ADJ
ejpam-7170	301	34	fitness	fitness	NOUN
ejpam-7170	301	35	values	value	NOUN
ejpam-7170	301	36	.	.	PUNCT
ejpam-7170	302	1	in	in	ADP
ejpam-7170	302	2	summary	summary	NOUN
ejpam-7170	302	3	,	,	PUNCT
ejpam-7170	302	4	incorporating	incorporate	VERB
ejpam-7170	302	5	both	both	CCONJ
ejpam-7170	302	6	displacement	displacement	NOUN
ejpam-7170	302	7	and	and	CCONJ
ejpam-7170	302	8	inversion	inversion	NOUN
ejpam-7170	302	9	mutations	mutation	NOUN
ejpam-7170	302	10	into	into	ADP
ejpam-7170	302	11	ga	ga	PROPN
ejpam-7170	302	12	-	-	PUNCT
ejpam-7170	302	13	hm	hm	PROPN
ejpam-7170	302	14	allows	allow	VERB
ejpam-7170	302	15	the	the	DET
ejpam-7170	302	16	algorithm	algorithm	NOUN
ejpam-7170	302	17	to	to	PART
ejpam-7170	302	18	effectively	effectively	ADV
ejpam-7170	302	19	balance	balance	VERB
ejpam-7170	302	20	exploration	exploration	NOUN
ejpam-7170	302	21	and	and	CCONJ
ejpam-7170	302	22	exploitation	exploitation	NOUN
ejpam-7170	302	23	.	.	PUNCT
ejpam-7170	303	1	displacement	displacement	ADJ
ejpam-7170	303	2	mutation	mutation	NOUN
ejpam-7170	303	3	facilitates	facilitate	VERB
ejpam-7170	303	4	broad	broad	ADJ
ejpam-7170	303	5	exploration	exploration	NOUN
ejpam-7170	303	6	of	of	ADP
ejpam-7170	303	7	the	the	DET
ejpam-7170	303	8	search	search	NOUN
ejpam-7170	303	9	domain	domain	NOUN
ejpam-7170	303	10	,	,	PUNCT
ejpam-7170	303	11	enabling	enable	VERB
ejpam-7170	303	12	the	the	DET
ejpam-7170	303	13	algorithm	algorithm	NOUN
ejpam-7170	303	14	to	to	PART
ejpam-7170	303	15	investigate	investigate	VERB
ejpam-7170	303	16	underrepresented	underrepresented	ADJ
ejpam-7170	303	17	or	or	CCONJ
ejpam-7170	303	18	previously	previously	ADV
ejpam-7170	303	19	unexplored	unexplored	ADJ
ejpam-7170	303	20	regions	region	NOUN
ejpam-7170	303	21	.	.	PUNCT
ejpam-7170	304	1	meanwhile	meanwhile	ADV
ejpam-7170	304	2	,	,	PUNCT
ejpam-7170	304	3	inversion	inversion	NOUN
ejpam-7170	304	4	mutation	mutation	NOUN
ejpam-7170	304	5	enhances	enhance	VERB
ejpam-7170	304	6	local	local	ADJ
ejpam-7170	304	7	refinement	refinement	NOUN
ejpam-7170	304	8	and	and	CCONJ
ejpam-7170	304	9	exploitation	exploitation	NOUN
ejpam-7170	304	10	of	of	ADP
ejpam-7170	304	11	promising	promising	ADJ
ejpam-7170	304	12	areas	area	NOUN
ejpam-7170	304	13	,	,	PUNCT
ejpam-7170	304	14	thereby	thereby	ADV
ejpam-7170	304	15	improving	improve	VERB
ejpam-7170	304	16	convergence	convergence	NOUN
ejpam-7170	304	17	toward	toward	ADP
ejpam-7170	304	18	optimal	optimal	ADJ
ejpam-7170	304	19	or	or	CCONJ
ejpam-7170	304	20	near	near	ADV
ejpam-7170	304	21	-	-	PUNCT
ejpam-7170	304	22	optimal	optimal	ADJ
ejpam-7170	304	23	solutions	solution	NOUN
ejpam-7170	304	24	.	.	PUNCT
ejpam-7170	305	1	6	6	X
ejpam-7170	305	2	.	.	X
ejpam-7170	305	3	computational	computational	ADJ
ejpam-7170	305	4	complexity	complexity	NOUN
ejpam-7170	305	5	the	the	DET
ejpam-7170	305	6	number	number	NOUN
ejpam-7170	305	7	of	of	ADP
ejpam-7170	305	8	generations	generation	NOUN
ejpam-7170	305	9	,	,	PUNCT
ejpam-7170	305	10	population	population	NOUN
ejpam-7170	305	11	size	size	NOUN
ejpam-7170	305	12	,	,	PUNCT
ejpam-7170	305	13	and	and	CCONJ
ejpam-7170	305	14	cost	cost	NOUN
ejpam-7170	305	15	of	of	ADP
ejpam-7170	305	16	evaluating	evaluate	VERB
ejpam-7170	305	17	the	the	DET
ejpam-7170	305	18	fitness	fitness	NOUN
ejpam-7170	305	19	functions	function	NOUN
ejpam-7170	305	20	are	be	AUX
ejpam-7170	305	21	the	the	DET
ejpam-7170	305	22	main	main	ADJ
ejpam-7170	305	23	factors	factor	NOUN
ejpam-7170	305	24	influencing	influence	VERB
ejpam-7170	305	25	the	the	DET
ejpam-7170	305	26	computational	computational	ADJ
ejpam-7170	305	27	complexity	complexity	NOUN
ejpam-7170	305	28	of	of	ADP
ejpam-7170	305	29	the	the	DET
ejpam-7170	305	30	suggested	suggest	VERB
ejpam-7170	305	31	ga	ga	PROPN
ejpam-7170	305	32	-	-	PUNCT
ejpam-7170	305	33	hm	hm	PROPN
ejpam-7170	305	34	algorithm	algorithm	PROPN
ejpam-7170	305	35	.	.	PUNCT
ejpam-7170	306	1	let	let	VERB
ejpam-7170	306	2	gmax	gmax	PROPN
ejpam-7170	306	3	denote	denote	VERB
ejpam-7170	306	4	the	the	DET
ejpam-7170	306	5	maximum	maximum	ADJ
ejpam-7170	306	6	number	number	NOUN
ejpam-7170	306	7	of	of	ADP
ejpam-7170	306	8	generations	generation	NOUN
ejpam-7170	306	9	,	,	PUNCT
ejpam-7170	306	10	npop	npop	VERB
ejpam-7170	306	11	the	the	DET
ejpam-7170	306	12	population	population	NOUN
ejpam-7170	306	13	size	size	NOUN
ejpam-7170	306	14	,	,	PUNCT
ejpam-7170	306	15	and	and	CCONJ
ejpam-7170	306	16	ef	ef	VERB
ejpam-7170	306	17	the	the	DET
ejpam-7170	306	18	time	time	NOUN
ejpam-7170	306	19	required	require	VERB
ejpam-7170	306	20	to	to	PART
ejpam-7170	306	21	evaluate	evaluate	VERB
ejpam-7170	306	22	the	the	DET
ejpam-7170	306	23	objective	objective	ADJ
ejpam-7170	306	24	functions	function	NOUN
ejpam-7170	306	25	for	for	ADP
ejpam-7170	306	26	each	each	DET
ejpam-7170	306	27	chromosome	chromosome	NOUN
ejpam-7170	306	28	.	.	PUNCT
ejpam-7170	307	1	the	the	DET
ejpam-7170	307	2	overall	overall	ADJ
ejpam-7170	307	3	time	time	NOUN
ejpam-7170	307	4	complexity	complexity	NOUN
ejpam-7170	307	5	of	of	ADP
ejpam-7170	307	6	ga	ga	PROPN
ejpam-7170	307	7	-	-	PROPN
ejpam-7170	307	8	hm	hm	PROPN
ejpam-7170	307	9	can	can	AUX
ejpam-7170	307	10	therefore	therefore	ADV
ejpam-7170	307	11	be	be	AUX
ejpam-7170	307	12	expressed	express	VERB
ejpam-7170	307	13	as	as	ADP
ejpam-7170	307	14	:	:	PUNCT
ejpam-7170	307	15	o(gmax	o(gmax	X
ejpam-7170	307	16	×npop	×npop	NOUN
ejpam-7170	307	17	×	×	PROPN
ejpam-7170	307	18	ef	ef	PROPN
ejpam-7170	307	19	)	)	PUNCT
ejpam-7170	307	20	compared	compare	VERB
ejpam-7170	307	21	to	to	ADP
ejpam-7170	307	22	the	the	DET
ejpam-7170	307	23	fitness	fitness	NOUN
ejpam-7170	307	24	evaluation	evaluation	NOUN
ejpam-7170	307	25	step	step	NOUN
ejpam-7170	307	26	,	,	PUNCT
ejpam-7170	307	27	the	the	DET
ejpam-7170	307	28	hybrid	hybrid	ADJ
ejpam-7170	307	29	mutation	mutation	NOUN
ejpam-7170	307	30	’s	’s	PART
ejpam-7170	307	31	computational	computational	ADJ
ejpam-7170	307	32	overhead	overhead	NOUN
ejpam-7170	307	33	is	be	AUX
ejpam-7170	307	34	minimal	minimal	ADJ
ejpam-7170	307	35	because	because	SCONJ
ejpam-7170	307	36	it	it	PRON
ejpam-7170	307	37	just	just	ADV
ejpam-7170	307	38	adds	add	VERB
ejpam-7170	307	39	two	two	NUM
ejpam-7170	307	40	additional	additional	ADJ
ejpam-7170	307	41	operators	operator	NOUN
ejpam-7170	307	42	:	:	PUNCT
ejpam-7170	307	43	displacement	displacement	NOUN
ejpam-7170	307	44	and	and	CCONJ
ejpam-7170	307	45	inversion	inversion	NOUN
ejpam-7170	307	46	.	.	PUNCT
ejpam-7170	308	1	as	as	ADP
ejpam-7170	308	2	a	a	DET
ejpam-7170	308	3	result	result	NOUN
ejpam-7170	308	4	,	,	PUNCT
ejpam-7170	308	5	the	the	DET
ejpam-7170	308	6	overall	overall	ADJ
ejpam-7170	308	7	asymptotic	asymptotic	ADJ
ejpam-7170	308	8	complexity	complexity	NOUN
ejpam-7170	308	9	is	be	AUX
ejpam-7170	308	10	still	still	ADV
ejpam-7170	308	11	in	in	ADP
ejpam-7170	308	12	the	the	DET
ejpam-7170	308	13	same	same	ADJ
ejpam-7170	308	14	order	order	NOUN
ejpam-7170	308	15	as	as	ADP
ejpam-7170	308	16	that	that	PRON
ejpam-7170	308	17	of	of	ADP
ejpam-7170	308	18	a	a	DET
ejpam-7170	308	19	standard	standard	ADJ
ejpam-7170	308	20	genetic	genetic	ADJ
ejpam-7170	308	21	algorithm	algorithm	NOUN
ejpam-7170	308	22	.	.	PUNCT
ejpam-7170	309	1	6.1	6.1	NUM
ejpam-7170	309	2	.	.	PUNCT
ejpam-7170	309	3	comparison	comparison	NOUN
ejpam-7170	309	4	with	with	ADP
ejpam-7170	309	5	other	other	ADJ
ejpam-7170	309	6	multi	multi	ADJ
ejpam-7170	309	7	-	-	ADJ
ejpam-7170	309	8	objective	objective	ADJ
ejpam-7170	309	9	genetic	genetic	ADJ
ejpam-7170	309	10	algorithms	algorithms	NOUN
ejpam-7170	309	11	since	since	SCONJ
ejpam-7170	309	12	the	the	DET
ejpam-7170	309	13	additional	additional	ADJ
ejpam-7170	309	14	hybrid	hybrid	ADJ
ejpam-7170	309	15	mutation	mutation	NOUN
ejpam-7170	309	16	procedures	procedure	NOUN
ejpam-7170	309	17	only	only	ADV
ejpam-7170	309	18	incur	incur	VERB
ejpam-7170	309	19	a	a	DET
ejpam-7170	309	20	small	small	ADJ
ejpam-7170	309	21	computational	computational	ADJ
ejpam-7170	309	22	cost	cost	NOUN
ejpam-7170	309	23	,	,	PUNCT
ejpam-7170	309	24	the	the	DET
ejpam-7170	309	25	proposed	propose	VERB
ejpam-7170	309	26	ga	ga	PROPN
ejpam-7170	309	27	-	-	PUNCT
ejpam-7170	309	28	hm	hm	PROPN
ejpam-7170	309	29	maintains	maintain	VERB
ejpam-7170	309	30	a	a	DET
ejpam-7170	309	31	similar	similar	ADJ
ejpam-7170	309	32	theoretical	theoretical	ADJ
ejpam-7170	309	33	time	time	NOUN
ejpam-7170	309	34	complexity	complexity	NOUN
ejpam-7170	309	35	of	of	ADP
ejpam-7170	309	36	o(gmax×	o(gmax×	PROPN
ejpam-7170	309	37	npop	npop	NOUN
ejpam-7170	309	38	×	×	PROPN
ejpam-7170	309	39	ef	ef	PROPN
ejpam-7170	309	40	)	)	PUNCT
ejpam-7170	309	41	when	when	SCONJ
ejpam-7170	309	42	compared	compare	VERB
ejpam-7170	309	43	to	to	ADP
ejpam-7170	309	44	a	a	DET
ejpam-7170	309	45	standard	standard	ADJ
ejpam-7170	309	46	genetic	genetic	ADJ
ejpam-7170	309	47	algorithm	algorithm	NOUN
ejpam-7170	309	48	(	(	PUNCT
ejpam-7170	309	49	ga	ga	PROPN
ejpam-7170	309	50	)	)	PUNCT
ejpam-7170	309	51	.	.	PUNCT
ejpam-7170	310	1	the	the	DET
ejpam-7170	310	2	hybrid	hybrid	ADJ
ejpam-7170	310	3	mutation	mutation	NOUN
ejpam-7170	310	4	in	in	ADP
ejpam-7170	310	5	ga	ga	PROPN
ejpam-7170	310	6	-	-	PUNCT
ejpam-7170	310	7	hm	hm	PROPN
ejpam-7170	310	8	,	,	PUNCT
ejpam-7170	310	9	which	which	PRON
ejpam-7170	310	10	combines	combine	VERB
ejpam-7170	310	11	displacement	displacement	NOUN
ejpam-7170	310	12	and	and	CCONJ
ejpam-7170	310	13	inversion	inversion	NOUN
ejpam-7170	310	14	mutations	mutation	NOUN
ejpam-7170	310	15	,	,	PUNCT
ejpam-7170	310	16	enhances	enhance	VERB
ejpam-7170	310	17	population	population	NOUN
ejpam-7170	310	18	diversity	diversity	NOUN
ejpam-7170	310	19	and	and	CCONJ
ejpam-7170	310	20	reduces	reduce	VERB
ejpam-7170	310	21	the	the	DET
ejpam-7170	310	22	risk	risk	NOUN
ejpam-7170	310	23	of	of	ADP
ejpam-7170	310	24	premature	premature	ADJ
ejpam-7170	310	25	convergence	convergence	NOUN
ejpam-7170	310	26	without	without	ADP
ejpam-7170	310	27	significantly	significantly	ADV
ejpam-7170	310	28	increasing	increase	VERB
ejpam-7170	310	29	runtime	runtime	NOUN
ejpam-7170	310	30	,	,	PUNCT
ejpam-7170	310	31	in	in	ADP
ejpam-7170	310	32	contrast	contrast	NOUN
ejpam-7170	310	33	to	to	ADP
ejpam-7170	310	34	standard	standard	PROPN
ejpam-7170	310	35	ga	ga	PROPN
ejpam-7170	310	36	or	or	CCONJ
ejpam-7170	310	37	conventional	conventional	ADJ
ejpam-7170	310	38	multi	multi	ADJ
ejpam-7170	310	39	-	-	ADJ
ejpam-7170	310	40	objective	objective	ADJ
ejpam-7170	310	41	algorithms	algorithm	NOUN
ejpam-7170	310	42	such	such	ADJ
ejpam-7170	310	43	as	as	ADP
ejpam-7170	310	44	nsga	nsga	NOUN
ejpam-7170	310	45	-	-	PUNCT
ejpam-7170	310	46	ii	ii	NOUN
ejpam-7170	310	47	.	.	PUNCT
ejpam-7170	311	1	consequently	consequently	ADV
ejpam-7170	311	2	,	,	PUNCT
ejpam-7170	311	3	ga	ga	PROPN
ejpam-7170	311	4	-	-	PUNCT
ejpam-7170	311	5	hm	hm	PROPN
ejpam-7170	311	6	maintains	maintain	VERB
ejpam-7170	311	7	computational	computational	ADJ
ejpam-7170	311	8	efficiency	efficiency	NOUN
ejpam-7170	311	9	comparable	comparable	ADJ
ejpam-7170	311	10	to	to	ADP
ejpam-7170	311	11	well	well	ADV
ejpam-7170	311	12	-	-	PUNCT
ejpam-7170	311	13	known	know	VERB
ejpam-7170	311	14	ga	ga	NOUN
ejpam-7170	311	15	-	-	PUNCT
ejpam-7170	311	16	based	base	VERB
ejpam-7170	311	17	techniques	technique	NOUN
ejpam-7170	311	18	while	while	SCONJ
ejpam-7170	311	19	achieving	achieve	VERB
ejpam-7170	311	20	convergence	convergence	NOUN
ejpam-7170	311	21	behavior	behavior	NOUN
ejpam-7170	311	22	and	and	CCONJ
ejpam-7170	311	23	a	a	DET
ejpam-7170	311	24	more	more	ADV
ejpam-7170	311	25	uniform	uniform	ADJ
ejpam-7170	311	26	pareto	pareto	ADJ
ejpam-7170	311	27	front	front	ADJ
ejpam-7170	311	28	distribution	distribution	NOUN
ejpam-7170	311	29	.	.	PUNCT
ejpam-7170	312	1	as	as	SCONJ
ejpam-7170	312	2	shown	show	VERB
ejpam-7170	312	3	in	in	ADP
ejpam-7170	312	4	table	table	NOUN
ejpam-7170	312	5	6	6	NUM
ejpam-7170	312	6	,	,	PUNCT
ejpam-7170	312	7	the	the	DET
ejpam-7170	312	8	proposed	propose	VERB
ejpam-7170	312	9	ga	ga	PROPN
ejpam-7170	312	10	-	-	PUNCT
ejpam-7170	312	11	hm	hm	PROPN
ejpam-7170	312	12	preserves	preserve	VERB
ejpam-7170	312	13	scalability	scalability	NOUN
ejpam-7170	312	14	similar	similar	ADJ
ejpam-7170	312	15	to	to	ADP
ejpam-7170	312	16	that	that	PRON
ejpam-7170	312	17	of	of	ADP
ejpam-7170	312	18	conventional	conventional	PROPN
ejpam-7170	312	19	ga	ga	PROPN
ejpam-7170	312	20	,	,	PUNCT
ejpam-7170	312	21	while	while	SCONJ
ejpam-7170	312	22	its	its	PRON
ejpam-7170	312	23	hybrid	hybrid	ADJ
ejpam-7170	312	24	mutation	mutation	NOUN
ejpam-7170	312	25	mechanism	mechanism	NOUN
ejpam-7170	312	26	enables	enable	VERB
ejpam-7170	312	27	improved	improve	VERB
ejpam-7170	312	28	pareto	pareto	VERB
ejpam-7170	312	29	-	-	PUNCT
ejpam-7170	312	30	optimal	optimal	ADJ
ejpam-7170	312	31	solutions	solution	NOUN
ejpam-7170	312	32	and	and	CCONJ
ejpam-7170	312	33	more	more	ADV
ejpam-7170	312	34	extensive	extensive	ADJ
ejpam-7170	312	35	exploration	exploration	NOUN
ejpam-7170	312	36	of	of	ADP
ejpam-7170	312	37	the	the	DET
ejpam-7170	312	38	search	search	NOUN
ejpam-7170	312	39	space	space	NOUN
ejpam-7170	312	40	.	.	PUNCT
ejpam-7170	313	1	m.a	m.a	PROPN
ejpam-7170	313	2	.	.	PROPN
ejpam-7170	313	3	el	el	PROPN
ejpam-7170	313	4	-	-	PROPN
ejpam-7170	313	5	shorbagy	shorbagy	PROPN
ejpam-7170	313	6	et	et	PROPN
ejpam-7170	313	7	al	al	PROPN
ejpam-7170	313	8	.	.	PUNCT
ejpam-7170	313	9	/	/	SYM
ejpam-7170	313	10	eur	eur	PROPN
ejpam-7170	313	11	.	.	PUNCT
ejpam-7170	314	1	j.	j.	PROPN
ejpam-7170	314	2	pure	pure	PROPN
ejpam-7170	314	3	appl	appl	PROPN
ejpam-7170	314	4	.	.	PROPN
ejpam-7170	314	5	math	math	PROPN
ejpam-7170	314	6	,	,	PUNCT
ejpam-7170	314	7	18	18	NUM
ejpam-7170	314	8	(	(	PUNCT
ejpam-7170	314	9	4	4	NUM
ejpam-7170	314	10	)	)	PUNCT
ejpam-7170	314	11	(	(	PUNCT
ejpam-7170	314	12	2025	2025	NUM
ejpam-7170	314	13	)	)	PUNCT
ejpam-7170	314	14	,	,	PUNCT
ejpam-7170	314	15	7170	7170	NUM
ejpam-7170	314	16	18	18	NUM
ejpam-7170	314	17	of	of	ADP
ejpam-7170	314	18	21	21	NUM
ejpam-7170	314	19	finally	finally	ADV
ejpam-7170	314	20	,	,	PUNCT
ejpam-7170	314	21	we	we	PRON
ejpam-7170	314	22	conclude	conclude	VERB
ejpam-7170	314	23	that	that	SCONJ
ejpam-7170	314	24	the	the	DET
ejpam-7170	314	25	proposed	propose	VERB
ejpam-7170	314	26	ga	ga	PROPN
ejpam-7170	314	27	-	-	PUNCT
ejpam-7170	314	28	hm	hm	PROPN
ejpam-7170	314	29	outperforms	outperform	VERB
ejpam-7170	314	30	nsga	nsga	NOUN
ejpam-7170	314	31	-	-	PUNCT
ejpam-7170	314	32	ii	ii	PROPN
ejpam-7170	314	33	and	and	CCONJ
ejpam-7170	314	34	k	k	PROPN
ejpam-7170	314	35	-	-	PUNCT
ejpam-7170	314	36	means	mean	VERB
ejpam-7170	314	37	ga	ga	PROPN
ejpam-7170	314	38	while	while	SCONJ
ejpam-7170	314	39	maintaining	maintain	VERB
ejpam-7170	314	40	a	a	DET
ejpam-7170	314	41	computational	computational	ADJ
ejpam-7170	314	42	time	time	NOUN
ejpam-7170	314	43	comparable	comparable	ADJ
ejpam-7170	314	44	to	to	ADP
ejpam-7170	314	45	a	a	DET
ejpam-7170	314	46	traditional	traditional	ADJ
ejpam-7170	314	47	genetic	genetic	ADJ
ejpam-7170	314	48	algorithm	algorithm	NOUN
ejpam-7170	314	49	(	(	PUNCT
ejpam-7170	314	50	ga	ga	PROPN
ejpam-7170	314	51	)	)	PUNCT
ejpam-7170	314	52	.	.	PUNCT
ejpam-7170	315	1	its	its	PRON
ejpam-7170	315	2	hybrid	hybrid	ADJ
ejpam-7170	315	3	mutation	mutation	NOUN
ejpam-7170	315	4	mechanism	mechanism	NOUN
ejpam-7170	315	5	,	,	PUNCT
ejpam-7170	315	6	combining	combine	VERB
ejpam-7170	315	7	displacement	displacement	NOUN
ejpam-7170	315	8	and	and	CCONJ
ejpam-7170	315	9	inversion	inversion	NOUN
ejpam-7170	315	10	mutations	mutation	NOUN
ejpam-7170	315	11	,	,	PUNCT
ejpam-7170	315	12	enhances	enhance	VERB
ejpam-7170	315	13	convergence	convergence	NOUN
ejpam-7170	315	14	behavior	behavior	NOUN
ejpam-7170	315	15	,	,	PUNCT
ejpam-7170	315	16	increases	increase	VERB
ejpam-7170	315	17	population	population	NOUN
ejpam-7170	315	18	diversity	diversity	NOUN
ejpam-7170	315	19	,	,	PUNCT
ejpam-7170	315	20	and	and	CCONJ
ejpam-7170	315	21	produces	produce	VERB
ejpam-7170	315	22	a	a	DET
ejpam-7170	315	23	more	more	ADV
ejpam-7170	315	24	uniform	uniform	NOUN
ejpam-7170	315	25	and	and	CCONJ
ejpam-7170	315	26	well	well	ADV
ejpam-7170	315	27	-	-	PUNCT
ejpam-7170	315	28	distributed	distribute	VERB
ejpam-7170	315	29	pareto	pareto	ADJ
ejpam-7170	315	30	front	front	NOUN
ejpam-7170	315	31	,	,	PUNCT
ejpam-7170	315	32	all	all	PRON
ejpam-7170	315	33	without	without	ADP
ejpam-7170	315	34	additional	additional	ADJ
ejpam-7170	315	35	runtime	runtime	NOUN
ejpam-7170	315	36	compared	compare	VERB
ejpam-7170	315	37	to	to	ADP
ejpam-7170	315	38	standard	standard	PROPN
ejpam-7170	315	39	ga	ga	PROPN
ejpam-7170	315	40	.	.	PROPN
ejpam-7170	316	1	as	as	ADP
ejpam-7170	316	2	a	a	DET
ejpam-7170	316	3	result	result	NOUN
ejpam-7170	316	4	,	,	PUNCT
ejpam-7170	316	5	ga	ga	PROPN
ejpam-7170	316	6	-	-	PUNCT
ejpam-7170	316	7	hm	hm	PROPN
ejpam-7170	316	8	provides	provide	VERB
ejpam-7170	316	9	a	a	DET
ejpam-7170	316	10	better	well	ADJ
ejpam-7170	316	11	balance	balance	NOUN
ejpam-7170	316	12	between	between	ADP
ejpam-7170	316	13	exploration	exploration	NOUN
ejpam-7170	316	14	and	and	CCONJ
ejpam-7170	316	15	exploitation	exploitation	NOUN
ejpam-7170	316	16	of	of	ADP
ejpam-7170	316	17	the	the	DET
ejpam-7170	316	18	search	search	NOUN
ejpam-7170	316	19	space	space	NOUN
ejpam-7170	316	20	,	,	PUNCT
ejpam-7170	316	21	delivering	deliver	VERB
ejpam-7170	316	22	superior	superior	ADJ
ejpam-7170	316	23	solutions	solution	NOUN
ejpam-7170	316	24	without	without	ADP
ejpam-7170	316	25	increasing	increase	VERB
ejpam-7170	316	26	computational	computational	ADJ
ejpam-7170	316	27	cost	cost	NOUN
ejpam-7170	316	28	.	.	PUNCT
ejpam-7170	317	1	therefore	therefore	ADV
ejpam-7170	317	2	,	,	PUNCT
ejpam-7170	317	3	ga	ga	PROPN
ejpam-7170	317	4	-	-	PUNCT
ejpam-7170	317	5	hm	hm	PROPN
ejpam-7170	317	6	represents	represent	VERB
ejpam-7170	317	7	an	an	DET
ejpam-7170	317	8	effective	effective	ADJ
ejpam-7170	317	9	and	and	CCONJ
ejpam-7170	317	10	efficient	efficient	ADJ
ejpam-7170	317	11	approach	approach	NOUN
ejpam-7170	317	12	for	for	ADP
ejpam-7170	317	13	solving	solve	VERB
ejpam-7170	317	14	multi	multi	ADJ
ejpam-7170	317	15	-	-	ADJ
ejpam-7170	317	16	objective	objective	ADJ
ejpam-7170	317	17	resource	resource	NOUN
ejpam-7170	317	18	allocation	allocation	NOUN
ejpam-7170	317	19	problems	problem	NOUN
ejpam-7170	317	20	.	.	PUNCT
ejpam-7170	318	1	table	table	NOUN
ejpam-7170	318	2	6	6	NUM
ejpam-7170	318	3	:	:	PUNCT
ejpam-7170	318	4	comparing	compare	VERB
ejpam-7170	318	5	the	the	DET
ejpam-7170	318	6	asymptotic	asymptotic	ADJ
ejpam-7170	318	7	time	time	NOUN
ejpam-7170	318	8	complexity	complexity	NOUN
ejpam-7170	318	9	of	of	ADP
ejpam-7170	318	10	different	different	ADJ
ejpam-7170	318	11	algorithms	algorithm	NOUN
ejpam-7170	318	12	.	.	PUNCT
ejpam-7170	319	1	algorithm	algorithm	NOUN
ejpam-7170	319	2	main	main	ADJ
ejpam-7170	319	3	operations	operation	NOUN
ejpam-7170	319	4	time	time	NOUN
ejpam-7170	319	5	complexity	complexity	PROPN
ejpam-7170	319	6	ga	ga	PROPN
ejpam-7170	319	7	selection	selection	NOUN
ejpam-7170	319	8	,	,	PUNCT
ejpam-7170	319	9	crossover	crossover	NOUN
ejpam-7170	319	10	,	,	PUNCT
ejpam-7170	319	11	mutation	mutation	NOUN
ejpam-7170	319	12	o(gmax	o(gmax	PROPN
ejpam-7170	319	13	×npop	×npop	VERB
ejpam-7170	319	14	×	×	PROPN
ejpam-7170	319	15	ef	ef	PROPN
ejpam-7170	319	16	)	)	PUNCT
ejpam-7170	319	17	nsga	nsga	PROPN
ejpam-7170	319	18	-	-	PUNCT
ejpam-7170	319	19	ii	ii	PROPN
ejpam-7170	319	20	non	non	ADJ
ejpam-7170	319	21	-	-	ADJ
ejpam-7170	319	22	dominated	dominated	ADJ
ejpam-7170	319	23	sorting	sorting	NOUN
ejpam-7170	319	24	,	,	PUNCT
ejpam-7170	319	25	cd	cd	PROPN
ejpam-7170	319	26	o(q×n2	o(q×n2	ADJ
ejpam-7170	319	27	pop	pop	NOUN
ejpam-7170	319	28	)	)	PUNCT
ejpam-7170	319	29	k	k	NOUN
ejpam-7170	319	30	-	-	PUNCT
ejpam-7170	319	31	means	mean	VERB
ejpam-7170	319	32	ga	ga	PROPN
ejpam-7170	319	33	clustering	clustering	NOUN
ejpam-7170	319	34	(	(	PUNCT
ejpam-7170	319	35	k	k	NOUN
ejpam-7170	319	36	,	,	PUNCT
ejpam-7170	319	37	d	d	NOUN
ejpam-7170	319	38	)	)	PUNCT
ejpam-7170	320	1	+	+	CCONJ
ejpam-7170	320	2	ga	ga	NOUN
ejpam-7170	320	3	evolution	evolution	NOUN
ejpam-7170	320	4	o(gmax×(npop×ef+k×d	o(gmax×(npop×ef+k×d	NOUN
ejpam-7170	320	5	)	)	PUNCT
ejpam-7170	320	6	)	)	PUNCT
ejpam-7170	320	7	ga	ga	PROPN
ejpam-7170	320	8	-	-	PUNCT
ejpam-7170	320	9	hm	hm	PROPN
ejpam-7170	320	10	selection	selection	NOUN
ejpam-7170	320	11	,	,	PUNCT
ejpam-7170	320	12	crossover	crossover	NOUN
ejpam-7170	320	13	,	,	PUNCT
ejpam-7170	320	14	hybrid	hybrid	ADJ
ejpam-7170	320	15	mutation	mutation	NOUN
ejpam-7170	320	16	o(gmax	o(gmax	PROPN
ejpam-7170	320	17	×npop	×npop	VERB
ejpam-7170	320	18	×	×	PROPN
ejpam-7170	320	19	ef	ef	PROPN
ejpam-7170	320	20	)	)	PUNCT
ejpam-7170	320	21	7	7	NUM
ejpam-7170	320	22	.	.	X
ejpam-7170	320	23	conclusion	conclusion	NOUN
ejpam-7170	320	24	this	this	DET
ejpam-7170	320	25	paper	paper	NOUN
ejpam-7170	320	26	proposed	propose	VERB
ejpam-7170	320	27	the	the	DET
ejpam-7170	320	28	genetic	genetic	ADJ
ejpam-7170	320	29	algorithm	algorithm	NOUN
ejpam-7170	320	30	with	with	ADP
ejpam-7170	320	31	hybrid	hybrid	ADJ
ejpam-7170	320	32	mutation	mutation	NOUN
ejpam-7170	320	33	(	(	PUNCT
ejpam-7170	320	34	ga	ga	NOUN
ejpam-7170	320	35	-	-	PUNCT
ejpam-7170	320	36	hm	hm	NOUN
ejpam-7170	320	37	)	)	PUNCT
ejpam-7170	320	38	as	as	ADP
ejpam-7170	320	39	an	an	DET
ejpam-7170	320	40	effective	effective	ADJ
ejpam-7170	320	41	approach	approach	NOUN
ejpam-7170	320	42	to	to	ADP
ejpam-7170	320	43	solving	solve	VERB
ejpam-7170	320	44	the	the	DET
ejpam-7170	320	45	multi	multi	ADJ
ejpam-7170	320	46	-	-	ADJ
ejpam-7170	320	47	objective	objective	ADJ
ejpam-7170	320	48	resource	resource	NOUN
ejpam-7170	320	49	allocation	allocation	NOUN
ejpam-7170	320	50	problem	problem	NOUN
ejpam-7170	320	51	(	(	PUNCT
ejpam-7170	320	52	morap	morap	NOUN
ejpam-7170	320	53	)	)	PUNCT
ejpam-7170	320	54	.	.	PUNCT
ejpam-7170	321	1	the	the	DET
ejpam-7170	321	2	key	key	ADJ
ejpam-7170	321	3	contribution	contribution	NOUN
ejpam-7170	321	4	of	of	ADP
ejpam-7170	321	5	ga	ga	PROPN
ejpam-7170	321	6	-	-	PUNCT
ejpam-7170	321	7	hm	hm	PROPN
ejpam-7170	321	8	lies	lie	VERB
ejpam-7170	321	9	in	in	ADP
ejpam-7170	321	10	its	its	PRON
ejpam-7170	321	11	hybrid	hybrid	ADJ
ejpam-7170	321	12	mutation	mutation	NOUN
ejpam-7170	321	13	mechanism	mechanism	NOUN
ejpam-7170	321	14	,	,	PUNCT
ejpam-7170	321	15	which	which	PRON
ejpam-7170	321	16	combines	combine	VERB
ejpam-7170	321	17	displacement	displacement	NOUN
ejpam-7170	321	18	and	and	CCONJ
ejpam-7170	321	19	inversion	inversion	NOUN
ejpam-7170	321	20	operators	operator	NOUN
ejpam-7170	321	21	to	to	PART
ejpam-7170	321	22	maintain	maintain	VERB
ejpam-7170	321	23	genetic	genetic	ADJ
ejpam-7170	321	24	diversity	diversity	NOUN
ejpam-7170	321	25	within	within	ADP
ejpam-7170	321	26	the	the	DET
ejpam-7170	321	27	population	population	NOUN
ejpam-7170	321	28	.	.	PUNCT
ejpam-7170	322	1	by	by	ADP
ejpam-7170	322	2	preventing	prevent	VERB
ejpam-7170	322	3	the	the	DET
ejpam-7170	322	4	chromosome	chromosome	NOUN
ejpam-7170	322	5	population	population	NOUN
ejpam-7170	322	6	from	from	ADP
ejpam-7170	322	7	becoming	become	VERB
ejpam-7170	322	8	overly	overly	ADV
ejpam-7170	322	9	homogeneous	homogeneous	ADJ
ejpam-7170	322	10	,	,	PUNCT
ejpam-7170	322	11	the	the	DET
ejpam-7170	322	12	algorithm	algorithm	NOUN
ejpam-7170	322	13	successfully	successfully	ADV
ejpam-7170	322	14	avoids	avoid	VERB
ejpam-7170	322	15	premature	premature	ADJ
ejpam-7170	322	16	convergence	convergence	NOUN
ejpam-7170	322	17	and	and	CCONJ
ejpam-7170	322	18	entrapment	entrapment	NOUN
ejpam-7170	322	19	in	in	ADP
ejpam-7170	322	20	local	local	ADJ
ejpam-7170	322	21	minima	minima	NOUN
ejpam-7170	322	22	.	.	PUNCT
ejpam-7170	323	1	the	the	DET
ejpam-7170	323	2	effectiveness	effectiveness	NOUN
ejpam-7170	323	3	of	of	ADP
ejpam-7170	323	4	the	the	DET
ejpam-7170	323	5	proposed	propose	VERB
ejpam-7170	323	6	method	method	NOUN
ejpam-7170	323	7	was	be	AUX
ejpam-7170	323	8	validated	validate	VERB
ejpam-7170	323	9	using	use	VERB
ejpam-7170	323	10	two	two	NUM
ejpam-7170	323	11	benchmark	benchmark	ADJ
ejpam-7170	323	12	test	test	NOUN
ejpam-7170	323	13	problems	problem	NOUN
ejpam-7170	323	14	of	of	ADP
ejpam-7170	323	15	morap	morap	NOUN
ejpam-7170	323	16	.	.	PUNCT
ejpam-7170	324	1	simulation	simulation	NOUN
ejpam-7170	324	2	results	result	NOUN
ejpam-7170	324	3	demonstrated	demonstrate	VERB
ejpam-7170	324	4	that	that	SCONJ
ejpam-7170	324	5	ga	ga	PROPN
ejpam-7170	324	6	-	-	PUNCT
ejpam-7170	324	7	hm	hm	INTJ
ejpam-7170	324	8	consistently	consistently	ADV
ejpam-7170	324	9	outperformed	outperform	VERB
ejpam-7170	324	10	other	other	ADJ
ejpam-7170	324	11	well	well	ADV
ejpam-7170	324	12	-	-	PUNCT
ejpam-7170	324	13	established	establish	VERB
ejpam-7170	324	14	techniques	technique	NOUN
ejpam-7170	324	15	reported	report	VERB
ejpam-7170	324	16	in	in	ADP
ejpam-7170	324	17	the	the	DET
ejpam-7170	324	18	literature	literature	NOUN
ejpam-7170	324	19	,	,	PUNCT
ejpam-7170	324	20	achieving	achieve	VERB
ejpam-7170	324	21	superior	superior	ADJ
ejpam-7170	324	22	trade	trade	NOUN
ejpam-7170	324	23	-	-	PUNCT
ejpam-7170	324	24	offs	off	NOUN
ejpam-7170	324	25	between	between	ADP
ejpam-7170	324	26	cost	cost	NOUN
ejpam-7170	324	27	and	and	CCONJ
ejpam-7170	324	28	efficiency	efficiency	NOUN
ejpam-7170	324	29	.	.	PUNCT
ejpam-7170	325	1	notably	notably	ADV
ejpam-7170	325	2	,	,	PUNCT
ejpam-7170	325	3	ga	ga	PROPN
ejpam-7170	325	4	-	-	PUNCT
ejpam-7170	325	5	hm	hm	PROPN
ejpam-7170	325	6	was	be	AUX
ejpam-7170	325	7	able	able	ADJ
ejpam-7170	325	8	to	to	PART
ejpam-7170	325	9	generate	generate	VERB
ejpam-7170	325	10	a	a	DET
ejpam-7170	325	11	diverse	diverse	ADJ
ejpam-7170	325	12	set	set	NOUN
ejpam-7170	325	13	of	of	ADP
ejpam-7170	325	14	pareto	pareto	VERB
ejpam-7170	325	15	-	-	PUNCT
ejpam-7170	325	16	optimal	optimal	ADJ
ejpam-7170	325	17	solutions	solution	NOUN
ejpam-7170	325	18	,	,	PUNCT
ejpam-7170	325	19	thereby	thereby	ADV
ejpam-7170	325	20	offering	offer	VERB
ejpam-7170	325	21	decision	decision	NOUN
ejpam-7170	325	22	-	-	PUNCT
ejpam-7170	325	23	makers	maker	NOUN
ejpam-7170	325	24	greater	great	ADJ
ejpam-7170	325	25	flexibility	flexibility	NOUN
ejpam-7170	325	26	in	in	ADP
ejpam-7170	325	27	selecting	select	VERB
ejpam-7170	325	28	solutions	solution	NOUN
ejpam-7170	325	29	according	accord	VERB
ejpam-7170	325	30	to	to	ADP
ejpam-7170	325	31	specific	specific	ADJ
ejpam-7170	325	32	preferences	preference	NOUN
ejpam-7170	325	33	and	and	CCONJ
ejpam-7170	325	34	priorities	priority	NOUN
ejpam-7170	325	35	.	.	PUNCT
ejpam-7170	326	1	based	base	VERB
ejpam-7170	326	2	on	on	ADP
ejpam-7170	326	3	these	these	DET
ejpam-7170	326	4	findings	finding	NOUN
ejpam-7170	326	5	,	,	PUNCT
ejpam-7170	326	6	it	it	PRON
ejpam-7170	326	7	can	can	AUX
ejpam-7170	326	8	be	be	AUX
ejpam-7170	326	9	concluded	conclude	VERB
ejpam-7170	326	10	that	that	SCONJ
ejpam-7170	326	11	ga	ga	PROPN
ejpam-7170	326	12	-	-	PUNCT
ejpam-7170	326	13	hm	hm	PROPN
ejpam-7170	326	14	is	be	AUX
ejpam-7170	326	15	both	both	PRON
ejpam-7170	326	16	robust	robust	ADJ
ejpam-7170	326	17	and	and	CCONJ
ejpam-7170	326	18	efficient	efficient	ADJ
ejpam-7170	326	19	in	in	ADP
ejpam-7170	326	20	addressing	address	VERB
ejpam-7170	326	21	moraps	morap	NOUN
ejpam-7170	326	22	.	.	PUNCT
ejpam-7170	327	1	beyond	beyond	ADP
ejpam-7170	327	2	the	the	DET
ejpam-7170	327	3	benchmark	benchmark	NOUN
ejpam-7170	327	4	cases	case	NOUN
ejpam-7170	327	5	,	,	PUNCT
ejpam-7170	327	6	the	the	DET
ejpam-7170	327	7	hybrid	hybrid	ADJ
ejpam-7170	327	8	mutation	mutation	NOUN
ejpam-7170	327	9	framework	framework	NOUN
ejpam-7170	327	10	also	also	ADV
ejpam-7170	327	11	shows	show	VERB
ejpam-7170	327	12	strong	strong	ADJ
ejpam-7170	327	13	potential	potential	NOUN
ejpam-7170	327	14	for	for	ADP
ejpam-7170	327	15	application	application	NOUN
ejpam-7170	327	16	to	to	ADP
ejpam-7170	327	17	broader	broad	ADJ
ejpam-7170	327	18	classes	class	NOUN
ejpam-7170	327	19	of	of	ADP
ejpam-7170	327	20	engineering	engineering	NOUN
ejpam-7170	327	21	and	and	CCONJ
ejpam-7170	327	22	management	management	NOUN
ejpam-7170	327	23	optimization	optimization	NOUN
ejpam-7170	327	24	problems	problem	NOUN
ejpam-7170	327	25	where	where	SCONJ
ejpam-7170	327	26	maintaining	maintain	VERB
ejpam-7170	327	27	diversity	diversity	NOUN
ejpam-7170	327	28	and	and	CCONJ
ejpam-7170	327	29	avoiding	avoid	VERB
ejpam-7170	327	30	local	local	ADJ
ejpam-7170	327	31	optima	optima	NOUN
ejpam-7170	327	32	are	be	AUX
ejpam-7170	327	33	critical	critical	ADJ
ejpam-7170	327	34	for	for	ADP
ejpam-7170	327	35	solution	solution	NOUN
ejpam-7170	327	36	quality	quality	NOUN
ejpam-7170	327	37	.	.	PUNCT
ejpam-7170	328	1	key	key	ADJ
ejpam-7170	328	2	directions	direction	NOUN
ejpam-7170	328	3	of	of	ADP
ejpam-7170	328	4	morap	morap	NOUN
ejpam-7170	328	5	for	for	ADP
ejpam-7170	328	6	future	future	ADJ
ejpam-7170	328	7	research	research	NOUN
ejpam-7170	328	8	include	include	VERB
ejpam-7170	328	9	several	several	ADJ
ejpam-7170	328	10	promising	promising	ADJ
ejpam-7170	328	11	areas	area	NOUN
ejpam-7170	328	12	.	.	PUNCT
ejpam-7170	329	1	one	one	NUM
ejpam-7170	329	2	important	important	ADJ
ejpam-7170	329	3	direction	direction	NOUN
ejpam-7170	329	4	is	be	AUX
ejpam-7170	329	5	the	the	DET
ejpam-7170	329	6	development	development	NOUN
ejpam-7170	329	7	of	of	ADP
ejpam-7170	329	8	hybrid	hybrid	ADJ
ejpam-7170	329	9	optimization	optimization	NOUN
ejpam-7170	329	10	methods	method	NOUN
ejpam-7170	329	11	,	,	PUNCT
ejpam-7170	329	12	which	which	PRON
ejpam-7170	329	13	integrate	integrate	VERB
ejpam-7170	329	14	metaheuristics	metaheuristic	NOUN
ejpam-7170	329	15	with	with	ADP
ejpam-7170	329	16	exact	exact	ADJ
ejpam-7170	329	17	techniques	technique	NOUN
ejpam-7170	329	18	to	to	PART
ejpam-7170	329	19	achieve	achieve	VERB
ejpam-7170	329	20	a	a	DET
ejpam-7170	329	21	balance	balance	NOUN
ejpam-7170	329	22	between	between	ADP
ejpam-7170	329	23	computational	computational	ADJ
ejpam-7170	329	24	efficiency	efficiency	NOUN
ejpam-7170	329	25	and	and	CCONJ
ejpam-7170	329	26	solution	solution	NOUN
ejpam-7170	329	27	quality	quality	NOUN
ejpam-7170	329	28	.	.	PUNCT
ejpam-7170	330	1	another	another	DET
ejpam-7170	330	2	significant	significant	ADJ
ejpam-7170	330	3	area	area	NOUN
ejpam-7170	330	4	involves	involve	VERB
ejpam-7170	330	5	dynamic	dynamic	ADJ
ejpam-7170	330	6	and	and	CCONJ
ejpam-7170	330	7	real	real	ADJ
ejpam-7170	330	8	-	-	PUNCT
ejpam-7170	330	9	time	time	NOUN
ejpam-7170	330	10	allocation	allocation	NOUN
ejpam-7170	330	11	,	,	PUNCT
ejpam-7170	330	12	focusing	focus	VERB
ejpam-7170	330	13	on	on	ADP
ejpam-7170	330	14	designing	design	VERB
ejpam-7170	330	15	adaptive	adaptive	ADJ
ejpam-7170	330	16	frameworks	framework	NOUN
ejpam-7170	330	17	capable	capable	ADJ
ejpam-7170	330	18	of	of	ADP
ejpam-7170	330	19	responding	respond	VERB
ejpam-7170	330	20	effectively	effectively	ADV
ejpam-7170	330	21	m.a	m.a	PROPN
ejpam-7170	330	22	.	.	PROPN
ejpam-7170	330	23	el	el	PROPN
ejpam-7170	330	24	-	-	PROPN
ejpam-7170	330	25	shorbagy	shorbagy	PROPN
ejpam-7170	330	26	et	et	PROPN
ejpam-7170	330	27	al	al	PROPN
ejpam-7170	330	28	.	.	PUNCT
ejpam-7170	330	29	/	/	SYM
ejpam-7170	330	30	eur	eur	PROPN
ejpam-7170	330	31	.	.	PUNCT
ejpam-7170	331	1	j.	j.	PROPN
ejpam-7170	331	2	pure	pure	PROPN
ejpam-7170	331	3	appl	appl	PROPN
ejpam-7170	331	4	.	.	PROPN
ejpam-7170	331	5	math	math	PROPN
ejpam-7170	331	6	,	,	PUNCT
ejpam-7170	331	7	18	18	NUM
ejpam-7170	331	8	(	(	PUNCT
ejpam-7170	331	9	4	4	NUM
ejpam-7170	331	10	)	)	PUNCT
ejpam-7170	331	11	(	(	PUNCT
ejpam-7170	331	12	2025	2025	NUM
ejpam-7170	331	13	)	)	PUNCT
ejpam-7170	331	14	,	,	PUNCT
ejpam-7170	331	15	7170	7170	NUM
ejpam-7170	331	16	19	19	NUM
ejpam-7170	331	17	of	of	ADP
ejpam-7170	331	18	21	21	NUM
ejpam-7170	331	19	to	to	ADP
ejpam-7170	331	20	real	real	ADJ
ejpam-7170	331	21	-	-	PUNCT
ejpam-7170	331	22	time	time	NOUN
ejpam-7170	331	23	variations	variation	NOUN
ejpam-7170	331	24	in	in	ADP
ejpam-7170	331	25	resource	resource	NOUN
ejpam-7170	331	26	demand	demand	NOUN
ejpam-7170	331	27	and	and	CCONJ
ejpam-7170	331	28	availability	availability	NOUN
ejpam-7170	331	29	.	.	PUNCT
ejpam-7170	332	1	the	the	DET
ejpam-7170	332	2	integration	integration	NOUN
ejpam-7170	332	3	of	of	ADP
ejpam-7170	332	4	machine	machine	NOUN
ejpam-7170	332	5	learning	learning	NOUN
ejpam-7170	332	6	is	be	AUX
ejpam-7170	332	7	also	also	ADV
ejpam-7170	332	8	gaining	gain	VERB
ejpam-7170	332	9	attention	attention	NOUN
ejpam-7170	332	10	,	,	PUNCT
ejpam-7170	332	11	as	as	SCONJ
ejpam-7170	332	12	predictive	predictive	ADJ
ejpam-7170	332	13	models	model	NOUN
ejpam-7170	332	14	can	can	AUX
ejpam-7170	332	15	be	be	AUX
ejpam-7170	332	16	employed	employ	VERB
ejpam-7170	332	17	to	to	PART
ejpam-7170	332	18	anticipate	anticipate	VERB
ejpam-7170	332	19	resource	resource	NOUN
ejpam-7170	332	20	requirements	requirement	NOUN
ejpam-7170	332	21	and	and	CCONJ
ejpam-7170	332	22	guide	guide	VERB
ejpam-7170	332	23	optimization	optimization	NOUN
ejpam-7170	332	24	processes	process	NOUN
ejpam-7170	332	25	,	,	PUNCT
ejpam-7170	332	26	thereby	thereby	ADV
ejpam-7170	332	27	enhancing	enhance	VERB
ejpam-7170	332	28	both	both	DET
ejpam-7170	332	29	accuracy	accuracy	NOUN
ejpam-7170	332	30	and	and	CCONJ
ejpam-7170	332	31	efficiency	efficiency	NOUN
ejpam-7170	332	32	.	.	PUNCT
ejpam-7170	333	1	furthermore	furthermore	ADV
ejpam-7170	333	2	,	,	PUNCT
ejpam-7170	333	3	addressing	address	VERB
ejpam-7170	333	4	robustness	robustness	NOUN
ejpam-7170	333	5	under	under	ADP
ejpam-7170	333	6	uncertainty	uncertainty	NOUN
ejpam-7170	333	7	is	be	AUX
ejpam-7170	333	8	essential	essential	ADJ
ejpam-7170	333	9	and	and	CCONJ
ejpam-7170	333	10	can	can	AUX
ejpam-7170	333	11	be	be	AUX
ejpam-7170	333	12	achieved	achieve	VERB
ejpam-7170	333	13	through	through	ADP
ejpam-7170	333	14	stochastic	stochastic	ADJ
ejpam-7170	333	15	and	and	CCONJ
ejpam-7170	333	16	robust	robust	ADJ
ejpam-7170	333	17	optimization	optimization	NOUN
ejpam-7170	333	18	approaches	approach	NOUN
ejpam-7170	333	19	to	to	PART
ejpam-7170	333	20	handle	handle	VERB
ejpam-7170	333	21	variability	variability	NOUN
ejpam-7170	333	22	in	in	ADP
ejpam-7170	333	23	system	system	NOUN
ejpam-7170	333	24	parameters	parameter	NOUN
ejpam-7170	333	25	,	,	PUNCT
ejpam-7170	333	26	supply	supply	NOUN
ejpam-7170	333	27	,	,	PUNCT
ejpam-7170	333	28	and	and	CCONJ
ejpam-7170	333	29	demand	demand	NOUN
ejpam-7170	333	30	.	.	PUNCT
ejpam-7170	334	1	additional	additional	ADJ
ejpam-7170	334	2	research	research	NOUN
ejpam-7170	334	3	should	should	AUX
ejpam-7170	334	4	also	also	ADV
ejpam-7170	334	5	emphasize	emphasize	VERB
ejpam-7170	334	6	the	the	DET
ejpam-7170	334	7	development	development	NOUN
ejpam-7170	334	8	of	of	ADP
ejpam-7170	334	9	decision	decision	NOUN
ejpam-7170	334	10	support	support	NOUN
ejpam-7170	334	11	systems	system	NOUN
ejpam-7170	334	12	,	,	PUNCT
ejpam-7170	334	13	creating	create	VERB
ejpam-7170	334	14	interactive	interactive	ADJ
ejpam-7170	334	15	tools	tool	NOUN
ejpam-7170	334	16	that	that	PRON
ejpam-7170	334	17	enable	enable	VERB
ejpam-7170	334	18	decision	decision	NOUN
ejpam-7170	334	19	-	-	PUNCT
ejpam-7170	334	20	makers	maker	NOUN
ejpam-7170	334	21	to	to	PART
ejpam-7170	334	22	analyze	analyze	VERB
ejpam-7170	334	23	trade	trade	NOUN
ejpam-7170	334	24	-	-	PUNCT
ejpam-7170	334	25	offs	off	NOUN
ejpam-7170	334	26	among	among	ADP
ejpam-7170	334	27	competing	compete	VERB
ejpam-7170	334	28	objectives	objective	NOUN
ejpam-7170	334	29	and	and	CCONJ
ejpam-7170	334	30	select	select	VERB
ejpam-7170	334	31	suitable	suitable	ADJ
ejpam-7170	334	32	strategies	strategy	NOUN
ejpam-7170	334	33	.	.	PUNCT
ejpam-7170	335	1	finally	finally	ADV
ejpam-7170	335	2	,	,	PUNCT
ejpam-7170	335	3	benchmarking	benchmarking	NOUN
ejpam-7170	335	4	and	and	CCONJ
ejpam-7170	335	5	standardization	standardization	NOUN
ejpam-7170	335	6	remain	remain	VERB
ejpam-7170	335	7	critical	critical	ADJ
ejpam-7170	335	8	to	to	ADP
ejpam-7170	335	9	the	the	DET
ejpam-7170	335	10	progress	progress	NOUN
ejpam-7170	335	11	of	of	ADP
ejpam-7170	335	12	the	the	DET
ejpam-7170	335	13	field	field	NOUN
ejpam-7170	335	14	by	by	ADP
ejpam-7170	335	15	establishing	establish	VERB
ejpam-7170	335	16	common	common	ADJ
ejpam-7170	335	17	datasets	dataset	NOUN
ejpam-7170	335	18	,	,	PUNCT
ejpam-7170	335	19	problem	problem	NOUN
ejpam-7170	335	20	instances	instance	NOUN
ejpam-7170	335	21	,	,	PUNCT
ejpam-7170	335	22	and	and	CCONJ
ejpam-7170	335	23	evaluation	evaluation	NOUN
ejpam-7170	335	24	metrics	metric	NOUN
ejpam-7170	335	25	to	to	PART
ejpam-7170	335	26	ensure	ensure	VERB
ejpam-7170	335	27	consistent	consistent	ADJ
ejpam-7170	335	28	and	and	CCONJ
ejpam-7170	335	29	transparent	transparent	ADJ
ejpam-7170	335	30	comparisons	comparison	NOUN
ejpam-7170	335	31	of	of	ADP
ejpam-7170	335	32	algorithms	algorithm	NOUN
ejpam-7170	335	33	.	.	PUNCT
ejpam-7170	336	1	to	to	PART
ejpam-7170	336	2	promote	promote	VERB
ejpam-7170	336	3	more	more	ADV
ejpam-7170	336	4	effective	effective	ADJ
ejpam-7170	336	5	,	,	PUNCT
ejpam-7170	336	6	resilient	resilient	ADJ
ejpam-7170	336	7	,	,	PUNCT
ejpam-7170	336	8	and	and	CCONJ
ejpam-7170	336	9	sustainable	sustainable	ADJ
ejpam-7170	336	10	resource	resource	NOUN
ejpam-7170	336	11	allocation	allocation	NOUN
ejpam-7170	336	12	across	across	ADP
ejpam-7170	336	13	various	various	ADJ
ejpam-7170	336	14	sectors	sector	NOUN
ejpam-7170	336	15	,	,	PUNCT
ejpam-7170	336	16	these	these	DET
ejpam-7170	336	17	directions	direction	NOUN
ejpam-7170	336	18	will	will	AUX
ejpam-7170	336	19	strengthen	strengthen	VERB
ejpam-7170	336	20	morap	morap	NOUN
ejpam-7170	336	21	’s	’s	PART
ejpam-7170	336	22	theoretical	theoretical	ADJ
ejpam-7170	336	23	foundations	foundation	NOUN
ejpam-7170	336	24	as	as	ADV
ejpam-7170	336	25	well	well	ADV
ejpam-7170	336	26	as	as	ADP
ejpam-7170	336	27	its	its	PRON
ejpam-7170	336	28	practical	practical	ADJ
ejpam-7170	336	29	applications	application	NOUN
ejpam-7170	336	30	.	.	PUNCT
ejpam-7170	337	1	finally	finally	ADV
ejpam-7170	337	2	,	,	PUNCT
ejpam-7170	337	3	future	future	ADJ
ejpam-7170	337	4	studies	study	NOUN
ejpam-7170	337	5	should	should	AUX
ejpam-7170	337	6	investigate	investigate	VERB
ejpam-7170	337	7	the	the	DET
ejpam-7170	337	8	computational	computational	ADJ
ejpam-7170	337	9	scalability	scalability	NOUN
ejpam-7170	337	10	of	of	ADP
ejpam-7170	337	11	ga	ga	PROPN
ejpam-7170	337	12	-	-	PUNCT
ejpam-7170	337	13	hm	hm	PROPN
ejpam-7170	337	14	for	for	ADP
ejpam-7170	337	15	larger	large	ADJ
ejpam-7170	337	16	morap	morap	NOUN
ejpam-7170	337	17	instances	instance	NOUN
ejpam-7170	337	18	,	,	PUNCT
ejpam-7170	337	19	examining	examine	VERB
ejpam-7170	337	20	its	its	PRON
ejpam-7170	337	21	convergence	convergence	NOUN
ejpam-7170	337	22	behavior	behavior	NOUN
ejpam-7170	337	23	and	and	CCONJ
ejpam-7170	337	24	efficiency	efficiency	NOUN
ejpam-7170	337	25	in	in	ADP
ejpam-7170	337	26	highdimensional	highdimensional	ADJ
ejpam-7170	337	27	optimization	optimization	NOUN
ejpam-7170	337	28	scenarios	scenario	NOUN
ejpam-7170	337	29	.	.	PUNCT
ejpam-7170	338	1	ga	ga	PROPN
ejpam-7170	338	2	-	-	PUNCT
ejpam-7170	338	3	hm	hm	INTJ
ejpam-7170	338	4	can	can	AUX
ejpam-7170	338	5	manage	manage	VERB
ejpam-7170	338	6	more	more	ADJ
ejpam-7170	338	7	variables	variable	NOUN
ejpam-7170	338	8	and	and	CCONJ
ejpam-7170	338	9	bigger	big	ADJ
ejpam-7170	338	10	datasets	dataset	NOUN
ejpam-7170	338	11	,	,	PUNCT
ejpam-7170	338	12	including	include	VERB
ejpam-7170	338	13	scenarios	scenario	NOUN
ejpam-7170	338	14	with	with	ADP
ejpam-7170	338	15	more	more	ADJ
ejpam-7170	338	16	employees	employee	NOUN
ejpam-7170	338	17	,	,	PUNCT
ejpam-7170	338	18	activities	activity	NOUN
ejpam-7170	338	19	,	,	PUNCT
ejpam-7170	338	20	or	or	CCONJ
ejpam-7170	338	21	goals	goal	NOUN
ejpam-7170	338	22	.	.	PUNCT
ejpam-7170	339	1	however	however	ADV
ejpam-7170	339	2	,	,	PUNCT
ejpam-7170	339	3	factors	factor	NOUN
ejpam-7170	339	4	such	such	ADJ
ejpam-7170	339	5	as	as	ADP
ejpam-7170	339	6	runtime	runtime	NOUN
ejpam-7170	339	7	,	,	PUNCT
ejpam-7170	339	8	memory	memory	NOUN
ejpam-7170	339	9	use	use	NOUN
ejpam-7170	339	10	,	,	PUNCT
ejpam-7170	339	11	and	and	CCONJ
ejpam-7170	339	12	overall	overall	ADJ
ejpam-7170	339	13	speed	speed	NOUN
ejpam-7170	339	14	may	may	AUX
ejpam-7170	339	15	degrade	degrade	VERB
ejpam-7170	339	16	as	as	ADP
ejpam-7170	339	17	the	the	DET
ejpam-7170	339	18	problem	problem	NOUN
ejpam-7170	339	19	size	size	NOUN
ejpam-7170	339	20	increases	increase	NOUN
ejpam-7170	339	21	.	.	PUNCT
ejpam-7170	340	1	acknowledgements	acknowledgement	NOUN
ejpam-7170	340	2	the	the	DET
ejpam-7170	340	3	authors	author	NOUN
ejpam-7170	340	4	extend	extend	VERB
ejpam-7170	340	5	their	their	PRON
ejpam-7170	340	6	appreciation	appreciation	NOUN
ejpam-7170	340	7	to	to	ADP
ejpam-7170	340	8	prince	prince	PROPN
ejpam-7170	340	9	sattam	sattam	PROPN
ejpam-7170	340	10	bin	bin	PROPN
ejpam-7170	340	11	abdulaziz	abdulaziz	PROPN
ejpam-7170	340	12	university	university	PROPN
ejpam-7170	340	13	for	for	ADP
ejpam-7170	340	14	funding	fund	VERB
ejpam-7170	340	15	this	this	DET
ejpam-7170	340	16	research	research	NOUN
ejpam-7170	340	17	work	work	NOUN
ejpam-7170	340	18	through	through	ADP
ejpam-7170	340	19	the	the	DET
ejpam-7170	340	20	project	project	NOUN
ejpam-7170	340	21	number	number	NOUN
ejpam-7170	340	22	(	(	PUNCT
ejpam-7170	340	23	psau/2025/01/34000	psau/2025/01/34000	PROPN
ejpam-7170	340	24	)	)	PUNCT
ejpam-7170	340	25	.	.	PUNCT
ejpam-7170	341	1	conflicts	conflict	NOUN
ejpam-7170	341	2	of	of	ADP
ejpam-7170	341	3	interest	interest	NOUN
ejpam-7170	341	4	the	the	DET
ejpam-7170	341	5	authors	author	NOUN
ejpam-7170	341	6	declare	declare	VERB
ejpam-7170	341	7	no	no	DET
ejpam-7170	341	8	conflict	conflict	NOUN
ejpam-7170	341	9	of	of	ADP
ejpam-7170	341	10	interest	interest	NOUN
ejpam-7170	341	11	.	.	PUNCT
ejpam-7170	342	1	references	reference	NOUN
ejpam-7170	342	2	[	[	X
ejpam-7170	342	3	1	1	X
ejpam-7170	342	4	]	]	PUNCT
ejpam-7170	342	5	j.	j.	PROPN
ejpam-7170	342	6	l.	l.	PROPN
ejpam-7170	342	7	ponz	ponz	PROPN
ejpam-7170	342	8	-	-	PUNCT
ejpam-7170	342	9	tienda	tienda	NOUN
ejpam-7170	342	10	,	,	PUNCT
ejpam-7170	342	11	v.	v.	CCONJ
ejpam-7170	342	12	yepes	yepe	NOUN
ejpam-7170	342	13	,	,	PUNCT
ejpam-7170	342	14	e.	e.	PROPN
ejpam-7170	342	15	pellicer	pellicer	PROPN
ejpam-7170	342	16	,	,	PUNCT
ejpam-7170	342	17	and	and	CCONJ
ejpam-7170	342	18	j.	j.	PROPN
ejpam-7170	342	19	moreno	moreno	PROPN
ejpam-7170	342	20	-	-	PUNCT
ejpam-7170	342	21	flores	flores	PROPN
ejpam-7170	342	22	.	.	PUNCT
ejpam-7170	343	1	the	the	DET
ejpam-7170	343	2	resource	resource	NOUN
ejpam-7170	343	3	leveling	leveling	NOUN
ejpam-7170	343	4	problem	problem	NOUN
ejpam-7170	343	5	with	with	ADP
ejpam-7170	343	6	multiple	multiple	ADJ
ejpam-7170	343	7	resources	resource	NOUN
ejpam-7170	343	8	using	use	VERB
ejpam-7170	343	9	an	an	DET
ejpam-7170	343	10	adaptive	adaptive	ADJ
ejpam-7170	343	11	genetic	genetic	ADJ
ejpam-7170	343	12	algorithm	algorithm	NOUN
ejpam-7170	343	13	.	.	PUNCT
ejpam-7170	344	1	automation	automation	NOUN
ejpam-7170	344	2	in	in	ADP
ejpam-7170	344	3	construction	construction	NOUN
ejpam-7170	344	4	,	,	PUNCT
ejpam-7170	344	5	29:161–172	29:161–172	NUM
ejpam-7170	344	6	,	,	PUNCT
ejpam-7170	344	7	2013	2013	NUM
ejpam-7170	344	8	.	.	PUNCT
ejpam-7170	345	1	[	[	X
ejpam-7170	345	2	2	2	NUM
ejpam-7170	345	3	]	]	PUNCT
ejpam-7170	345	4	a.	a.	NOUN
ejpam-7170	345	5	azaron	azaron	PROPN
ejpam-7170	345	6	et	et	PROPN
ejpam-7170	345	7	al	al	PROPN
ejpam-7170	345	8	.	.	PUNCT
ejpam-7170	346	1	a	a	DET
ejpam-7170	346	2	multi	multi	ADJ
ejpam-7170	346	3	-	-	ADJ
ejpam-7170	346	4	objective	objective	ADJ
ejpam-7170	346	5	resource	resource	NOUN
ejpam-7170	346	6	allocation	allocation	NOUN
ejpam-7170	346	7	problem	problem	NOUN
ejpam-7170	346	8	in	in	ADP
ejpam-7170	346	9	pert	pert	ADJ
ejpam-7170	346	10	networks	network	NOUN
ejpam-7170	346	11	.	.	PUNCT
ejpam-7170	347	1	european	european	ADJ
ejpam-7170	347	2	journal	journal	PROPN
ejpam-7170	347	3	of	of	ADP
ejpam-7170	347	4	operational	operational	ADJ
ejpam-7170	347	5	research	research	NOUN
ejpam-7170	347	6	,	,	PUNCT
ejpam-7170	347	7	172(3):838–854	172(3):838–854	NUM
ejpam-7170	347	8	,	,	PUNCT
ejpam-7170	347	9	2006	2006	NUM
ejpam-7170	347	10	.	.	PUNCT
ejpam-7170	348	1	[	[	X
ejpam-7170	348	2	3	3	X
ejpam-7170	348	3	]	]	X
ejpam-7170	348	4	s.	s.	PROPN
ejpam-7170	348	5	gupta	gupta	PROPN
ejpam-7170	348	6	and	and	CCONJ
ejpam-7170	348	7	t.	t.	PROPN
ejpam-7170	348	8	j.	j.	PROPN
ejpam-7170	348	9	steenburgh	steenburgh	PROPN
ejpam-7170	348	10	.	.	PUNCT
ejpam-7170	349	1	allocating	allocate	VERB
ejpam-7170	349	2	marketing	marketing	NOUN
ejpam-7170	349	3	resources	resource	NOUN
ejpam-7170	349	4	.	.	PUNCT
ejpam-7170	350	1	copyright	copyright	NOUN
ejpam-7170	350	2	©	©	PROPN
ejpam-7170	350	3	2008	2008	NUM
ejpam-7170	350	4	,	,	PUNCT
ejpam-7170	350	5	2008	2008	NUM
ejpam-7170	350	6	.	.	PUNCT
ejpam-7170	351	1	[	[	X
ejpam-7170	351	2	4	4	X
ejpam-7170	351	3	]	]	PUNCT
ejpam-7170	351	4	x.	x.	NOUN
ejpam-7170	351	5	wang	wang	PROPN
ejpam-7170	351	6	and	and	CCONJ
ejpam-7170	351	7	g.	g.	PROPN
ejpam-7170	351	8	b.	b.	PROPN
ejpam-7170	351	9	giannakis	giannakis	PROPN
ejpam-7170	351	10	.	.	PUNCT
ejpam-7170	352	1	resource	resource	NOUN
ejpam-7170	352	2	allocation	allocation	NOUN
ejpam-7170	352	3	for	for	ADP
ejpam-7170	352	4	wireless	wireless	ADJ
ejpam-7170	352	5	multiuser	multiuser	NOUN
ejpam-7170	352	6	ofdm	ofdm	PROPN
ejpam-7170	352	7	networks	network	NOUN
ejpam-7170	352	8	.	.	PUNCT
ejpam-7170	353	1	ieee	ieee	NOUN
ejpam-7170	353	2	transactions	transaction	NOUN
ejpam-7170	353	3	on	on	ADP
ejpam-7170	353	4	communications	communication	NOUN
ejpam-7170	353	5	,	,	PUNCT
ejpam-7170	353	6	57(7):4359–4372	57(7):4359–4372	NUM
ejpam-7170	353	7	,	,	PUNCT
ejpam-7170	353	8	2011	2011	NUM
ejpam-7170	353	9	.	.	PUNCT
ejpam-7170	354	1	[	[	X
ejpam-7170	354	2	5	5	X
ejpam-7170	354	3	]	]	PUNCT
ejpam-7170	354	4	s.	s.	PROPN
ejpam-7170	354	5	tan	tan	PROPN
ejpam-7170	354	6	,	,	PUNCT
ejpam-7170	354	7	w.	w.	PROPN
ejpam-7170	354	8	weng	weng	PROPN
ejpam-7170	354	9	,	,	PUNCT
ejpam-7170	354	10	and	and	CCONJ
ejpam-7170	354	11	s.	s.	PROPN
ejpam-7170	354	12	fujimura	fujimura	PROPN
ejpam-7170	354	13	.	.	PUNCT
ejpam-7170	355	1	scheduling	scheduling	NOUN
ejpam-7170	355	2	of	of	ADP
ejpam-7170	355	3	worker	worker	NOUN
ejpam-7170	355	4	allocation	allocation	NOUN
ejpam-7170	355	5	in	in	ADP
ejpam-7170	355	6	the	the	DET
ejpam-7170	355	7	manual	manual	ADJ
ejpam-7170	355	8	m.a	m.a	PROPN
ejpam-7170	355	9	.	.	PROPN
ejpam-7170	355	10	el	el	PROPN
ejpam-7170	355	11	-	-	PROPN
ejpam-7170	355	12	shorbagy	shorbagy	PROPN
ejpam-7170	355	13	et	et	PROPN
ejpam-7170	355	14	al	al	PROPN
ejpam-7170	355	15	.	.	PUNCT
ejpam-7170	355	16	/	/	SYM
ejpam-7170	355	17	eur	eur	PROPN
ejpam-7170	355	18	.	.	PUNCT
ejpam-7170	356	1	j.	j.	PROPN
ejpam-7170	356	2	pure	pure	PROPN
ejpam-7170	356	3	appl	appl	PROPN
ejpam-7170	356	4	.	.	PROPN
ejpam-7170	356	5	math	math	PROPN
ejpam-7170	356	6	,	,	PUNCT
ejpam-7170	356	7	18	18	NUM
ejpam-7170	356	8	(	(	PUNCT
ejpam-7170	356	9	4	4	NUM
ejpam-7170	356	10	)	)	PUNCT
ejpam-7170	356	11	(	(	PUNCT
ejpam-7170	356	12	2025	2025	NUM
ejpam-7170	356	13	)	)	PUNCT
ejpam-7170	356	14	,	,	PUNCT
ejpam-7170	356	15	7170	7170	NUM
ejpam-7170	356	16	20	20	NUM
ejpam-7170	356	17	of	of	ADP
ejpam-7170	356	18	21	21	NUM
ejpam-7170	356	19	labor	labor	NOUN
ejpam-7170	356	20	environment	environment	NOUN
ejpam-7170	356	21	with	with	ADP
ejpam-7170	356	22	genetic	genetic	ADJ
ejpam-7170	356	23	algorithm	algorithm	NOUN
ejpam-7170	356	24	.	.	PUNCT
ejpam-7170	357	1	in	in	ADP
ejpam-7170	357	2	international	international	ADJ
ejpam-7170	357	3	multi	multi	ADJ
ejpam-7170	357	4	conference	conference	NOUN
ejpam-7170	357	5	of	of	ADP
ejpam-7170	357	6	engineers	engineer	NOUN
ejpam-7170	357	7	and	and	CCONJ
ejpam-7170	357	8	computer	computer	NOUN
ejpam-7170	357	9	scientists	scientist	NOUN
ejpam-7170	357	10	(	(	PUNCT
ejpam-7170	357	11	imecs	imecs	PROPN
ejpam-7170	357	12	i	i	PROPN
ejpam-7170	357	13	)	)	PUNCT
ejpam-7170	357	14	,	,	PUNCT
ejpam-7170	357	15	2009	2009	NUM
ejpam-7170	357	16	.	.	PUNCT
ejpam-7170	358	1	[	[	X
ejpam-7170	358	2	6	6	NUM
ejpam-7170	358	3	]	]	PUNCT
ejpam-7170	358	4	m.	m.	NOUN
ejpam-7170	358	5	ehrgott	ehrgott	PROPN
ejpam-7170	358	6	,	,	PUNCT
ejpam-7170	358	7	k.	k.	PROPN
ejpam-7170	358	8	klamroth	klamroth	PROPN
ejpam-7170	358	9	,	,	PUNCT
ejpam-7170	358	10	and	and	CCONJ
ejpam-7170	358	11	c.	c.	PROPN
ejpam-7170	358	12	schwehm	schwehm	PROPN
ejpam-7170	358	13	.	.	PUNCT
ejpam-7170	359	1	an	an	DET
ejpam-7170	359	2	mcdm	mcdm	ADJ
ejpam-7170	359	3	approach	approach	NOUN
ejpam-7170	359	4	to	to	ADP
ejpam-7170	359	5	portfolio	portfolio	NOUN
ejpam-7170	359	6	optimization	optimization	NOUN
ejpam-7170	359	7	.	.	PUNCT
ejpam-7170	360	1	european	european	ADJ
ejpam-7170	360	2	journal	journal	PROPN
ejpam-7170	360	3	of	of	ADP
ejpam-7170	360	4	operational	operational	ADJ
ejpam-7170	360	5	research	research	NOUN
ejpam-7170	360	6	,	,	PUNCT
ejpam-7170	360	7	155(3):752–770	155(3):752–770	NUM
ejpam-7170	360	8	,	,	PUNCT
ejpam-7170	360	9	2004	2004	NUM
ejpam-7170	360	10	.	.	PUNCT
ejpam-7170	361	1	[	[	X
ejpam-7170	361	2	7	7	X
ejpam-7170	361	3	]	]	X
ejpam-7170	361	4	k.	k.	PROPN
ejpam-7170	361	5	claxton	claxton	PROPN
ejpam-7170	361	6	,	,	PUNCT
ejpam-7170	361	7	m.	m.	NOUN
ejpam-7170	361	8	paulden	paulden	PROPN
ejpam-7170	361	9	,	,	PUNCT
ejpam-7170	361	10	h.	h.	PROPN
ejpam-7170	361	11	gravelle	gravelle	PROPN
ejpam-7170	361	12	,	,	PUNCT
ejpam-7170	361	13	w.	w.	PROPN
ejpam-7170	361	14	brouwer	brouwer	PROPN
ejpam-7170	361	15	,	,	PUNCT
ejpam-7170	361	16	and	and	CCONJ
ejpam-7170	361	17	a.	a.	NOUN
ejpam-7170	361	18	j.	j.	PROPN
ejpam-7170	361	19	culyer	culyer	PROPN
ejpam-7170	361	20	.	.	PUNCT
ejpam-7170	362	1	discounting	discount	VERB
ejpam-7170	362	2	and	and	CCONJ
ejpam-7170	362	3	decision	decision	NOUN
ejpam-7170	362	4	making	making	NOUN
ejpam-7170	362	5	in	in	ADP
ejpam-7170	362	6	the	the	DET
ejpam-7170	362	7	economic	economic	ADJ
ejpam-7170	362	8	evaluation	evaluation	NOUN
ejpam-7170	362	9	of	of	ADP
ejpam-7170	362	10	health	health	NOUN
ejpam-7170	362	11	-	-	PUNCT
ejpam-7170	362	12	care	care	NOUN
ejpam-7170	362	13	technologies	technology	NOUN
ejpam-7170	362	14	.	.	PUNCT
ejpam-7170	363	1	health	health	NOUN
ejpam-7170	363	2	economics	economic	NOUN
ejpam-7170	363	3	,	,	PUNCT
ejpam-7170	363	4	20(1):2–15	20(1):2–15	NUM
ejpam-7170	363	5	,	,	PUNCT
ejpam-7170	363	6	2011	2011	NUM
ejpam-7170	363	7	.	.	PUNCT
ejpam-7170	364	1	[	[	X
ejpam-7170	364	2	8	8	X
ejpam-7170	364	3	]	]	X
ejpam-7170	364	4	t.	t.	NOUN
ejpam-7170	364	5	ibaraki	ibaraki	NOUN
ejpam-7170	364	6	and	and	CCONJ
ejpam-7170	364	7	n.	n.	PROPN
ejpam-7170	364	8	katoh	katoh	PROPN
ejpam-7170	364	9	.	.	PUNCT
ejpam-7170	365	1	resource	resource	NOUN
ejpam-7170	365	2	allocation	allocation	NOUN
ejpam-7170	365	3	problems	problem	NOUN
ejpam-7170	365	4	:	:	PUNCT
ejpam-7170	365	5	algorithmic	algorithmic	ADJ
ejpam-7170	365	6	approaches	approach	NOUN
ejpam-7170	365	7	.	.	PUNCT
ejpam-7170	366	1	mit	mit	PROPN
ejpam-7170	366	2	press	press	PROPN
ejpam-7170	366	3	,	,	PUNCT
ejpam-7170	366	4	boston	boston	PROPN
ejpam-7170	366	5	,	,	PUNCT
ejpam-7170	366	6	1988	1988	NUM
ejpam-7170	366	7	.	.	PUNCT
ejpam-7170	367	1	[	[	X
ejpam-7170	367	2	9	9	NUM
ejpam-7170	367	3	]	]	PUNCT
ejpam-7170	367	4	b.	b.	PROPN
ejpam-7170	367	5	gavish	gavish	PROPN
ejpam-7170	367	6	and	and	CCONJ
ejpam-7170	367	7	h.	h.	PROPN
ejpam-7170	367	8	pirkul	pirkul	PROPN
ejpam-7170	367	9	.	.	PUNCT
ejpam-7170	368	1	algorithms	algorithm	NOUN
ejpam-7170	368	2	for	for	ADP
ejpam-7170	368	3	the	the	DET
ejpam-7170	368	4	multi	multi	ADJ
ejpam-7170	368	5	-	-	ADJ
ejpam-7170	368	6	resource	resource	ADJ
ejpam-7170	368	7	generalized	generalize	VERB
ejpam-7170	368	8	assignment	assignment	NOUN
ejpam-7170	368	9	problem	problem	NOUN
ejpam-7170	368	10	.	.	PUNCT
ejpam-7170	369	1	management	management	NOUN
ejpam-7170	369	2	science	science	NOUN
ejpam-7170	369	3	,	,	PUNCT
ejpam-7170	369	4	37(6):695–713	37(6):695–713	PROPN
ejpam-7170	369	5	,	,	PUNCT
ejpam-7170	369	6	1991	1991	NUM
ejpam-7170	369	7	.	.	PUNCT
ejpam-7170	370	1	[	[	X
ejpam-7170	370	2	10	10	NUM
ejpam-7170	370	3	]	]	X
ejpam-7170	370	4	o.	o.	NOUN
ejpam-7170	370	5	moselhi	moselhi	PROPN
ejpam-7170	370	6	and	and	CCONJ
ejpam-7170	370	7	p.	p.	NOUN
ejpam-7170	370	8	lorterapong	lorterapong	NOUN
ejpam-7170	370	9	.	.	PUNCT
ejpam-7170	371	1	least	least	ADJ
ejpam-7170	371	2	impact	impact	VERB
ejpam-7170	371	3	algorithm	algorithm	NOUN
ejpam-7170	371	4	for	for	ADP
ejpam-7170	371	5	resource	resource	NOUN
ejpam-7170	371	6	allocation	allocation	NOUN
ejpam-7170	371	7	.	.	PUNCT
ejpam-7170	372	1	canadian	canadian	ADJ
ejpam-7170	372	2	journal	journal	NOUN
ejpam-7170	372	3	of	of	ADP
ejpam-7170	372	4	civil	civil	ADJ
ejpam-7170	372	5	engineering	engineering	NOUN
ejpam-7170	372	6	,	,	PUNCT
ejpam-7170	372	7	20(2):180–188	20(2):180–188	NOUN
ejpam-7170	372	8	,	,	PUNCT
ejpam-7170	372	9	1993	1993	NUM
ejpam-7170	372	10	.	.	PUNCT
ejpam-7170	373	1	[	[	X
ejpam-7170	373	2	11	11	NUM
ejpam-7170	373	3	]	]	PUNCT
ejpam-7170	373	4	m.	m.	NOUN
ejpam-7170	373	5	s.	s.	PROPN
ejpam-7170	373	6	osman	osman	PROPN
ejpam-7170	373	7	,	,	PUNCT
ejpam-7170	373	8	m.	m.	NOUN
ejpam-7170	373	9	a.	a.	NOUN
ejpam-7170	373	10	abo	abo	NOUN
ejpam-7170	373	11	-	-	PUNCT
ejpam-7170	373	12	sinna	sinna	NOUN
ejpam-7170	373	13	,	,	PUNCT
ejpam-7170	373	14	and	and	CCONJ
ejpam-7170	373	15	a.	a.	NOUN
ejpam-7170	373	16	a.	a.	NOUN
ejpam-7170	373	17	mousa	mousa	PROPN
ejpam-7170	373	18	.	.	PUNCT
ejpam-7170	374	1	an	an	DET
ejpam-7170	374	2	effective	effective	ADJ
ejpam-7170	374	3	genetic	genetic	ADJ
ejpam-7170	374	4	algorithm	algorithm	NOUN
ejpam-7170	374	5	approach	approach	NOUN
ejpam-7170	374	6	to	to	ADP
ejpam-7170	374	7	multiobjective	multiobjective	ADJ
ejpam-7170	374	8	resource	resource	NOUN
ejpam-7170	374	9	allocation	allocation	NOUN
ejpam-7170	374	10	problems	problem	NOUN
ejpam-7170	374	11	.	.	PUNCT
ejpam-7170	375	1	applied	apply	VERB
ejpam-7170	375	2	mathematics	mathematic	NOUN
ejpam-7170	375	3	and	and	CCONJ
ejpam-7170	375	4	computation	computation	NOUN
ejpam-7170	375	5	,	,	PUNCT
ejpam-7170	375	6	163:755–768	163:755–768	NUM
ejpam-7170	375	7	,	,	PUNCT
ejpam-7170	375	8	2005	2005	NUM
ejpam-7170	375	9	.	.	PUNCT
ejpam-7170	376	1	[	[	X
ejpam-7170	376	2	12	12	NUM
ejpam-7170	376	3	]	]	PUNCT
ejpam-7170	376	4	m.	m.	NOUN
ejpam-7170	376	5	mutingi	mutingi	PROPN
ejpam-7170	376	6	.	.	PUNCT
ejpam-7170	377	1	system	system	NOUN
ejpam-7170	377	2	reliability	reliability	NOUN
ejpam-7170	377	3	optimization	optimization	NOUN
ejpam-7170	377	4	:	:	PUNCT
ejpam-7170	377	5	a	a	DET
ejpam-7170	377	6	fuzzy	fuzzy	ADJ
ejpam-7170	377	7	multi	multi	ADJ
ejpam-7170	377	8	-	-	ADJ
ejpam-7170	377	9	objective	objective	ADJ
ejpam-7170	377	10	genetic	genetic	ADJ
ejpam-7170	377	11	algorithm	algorithm	NOUN
ejpam-7170	377	12	approach	approach	NOUN
ejpam-7170	377	13	.	.	PUNCT
ejpam-7170	378	1	eksploatacja	eksploatacja	PRON
ejpam-7170	379	1	i	i	PRON
ejpam-7170	379	2	niezawodność	niezawodność	VERB
ejpam-7170	379	3	–	–	PUNCT
ejpam-7170	379	4	maintenance	maintenance	NOUN
ejpam-7170	379	5	and	and	CCONJ
ejpam-7170	379	6	reliability	reliability	NOUN
ejpam-7170	379	7	,	,	PUNCT
ejpam-7170	379	8	16(3):400–406	16(3):400–406	NUM
ejpam-7170	379	9	,	,	PUNCT
ejpam-7170	379	10	2014	2014	NUM
ejpam-7170	379	11	.	.	PUNCT
ejpam-7170	380	1	[	[	X
ejpam-7170	380	2	13	13	NUM
ejpam-7170	380	3	]	]	X
ejpam-7170	380	4	d.	d.	PROPN
ejpam-7170	380	5	bertsimas	bertsimas	PROPN
ejpam-7170	380	6	,	,	PUNCT
ejpam-7170	380	7	j.	j.	PROPN
ejpam-7170	380	8	d.	d.	PROPN
ejpam-7170	380	9	griffith	griffith	PROPN
ejpam-7170	380	10	,	,	PUNCT
ejpam-7170	380	11	v.	v.	PROPN
ejpam-7170	380	12	gupta	gupta	PROPN
ejpam-7170	380	13	,	,	PUNCT
ejpam-7170	380	14	m.	m.	NOUN
ejpam-7170	380	15	j.	j.	PROPN
ejpam-7170	380	16	kochenderfer	kochenderfer	PROPN
ejpam-7170	380	17	,	,	PUNCT
ejpam-7170	380	18	v.	v.	PROPN
ejpam-7170	380	19	v.	v.	CCONJ
ejpam-7170	380	20	mišić	mišić	NOUN
ejpam-7170	380	21	,	,	PUNCT
ejpam-7170	380	22	and	and	CCONJ
ejpam-7170	380	23	r.	r.	PROPN
ejpam-7170	380	24	moss	moss	PROPN
ejpam-7170	380	25	.	.	PUNCT
ejpam-7170	381	1	a	a	DET
ejpam-7170	381	2	comparison	comparison	NOUN
ejpam-7170	381	3	of	of	ADP
ejpam-7170	381	4	monte	monte	PROPN
ejpam-7170	381	5	carlo	carlo	PROPN
ejpam-7170	381	6	tree	tree	NOUN
ejpam-7170	381	7	search	search	NOUN
ejpam-7170	381	8	and	and	CCONJ
ejpam-7170	381	9	mathematical	mathematical	ADJ
ejpam-7170	381	10	optimization	optimization	NOUN
ejpam-7170	381	11	for	for	ADP
ejpam-7170	381	12	large	large	ADJ
ejpam-7170	381	13	scale	scale	NOUN
ejpam-7170	381	14	dynamic	dynamic	ADJ
ejpam-7170	381	15	resource	resource	NOUN
ejpam-7170	381	16	allocation	allocation	NOUN
ejpam-7170	381	17	.	.	PUNCT
ejpam-7170	382	1	preprint	preprint	NOUN
ejpam-7170	382	2	submitted	submit	VERB
ejpam-7170	382	3	to	to	ADP
ejpam-7170	382	4	elsevier	elsevier	PROPN
ejpam-7170	382	5	,	,	PUNCT
ejpam-7170	382	6	2014	2014	NUM
ejpam-7170	382	7	.	.	PUNCT
ejpam-7170	383	1	[	[	X
ejpam-7170	383	2	14	14	NUM
ejpam-7170	383	3	]	]	PUNCT
ejpam-7170	383	4	s.	s.	PROPN
ejpam-7170	383	5	k.	k.	PROPN
ejpam-7170	383	6	chaharsooghi	chaharsooghi	PROPN
ejpam-7170	383	7	and	and	CCONJ
ejpam-7170	383	8	a.	a.	PROPN
ejpam-7170	383	9	h.	h.	PROPN
ejpam-7170	383	10	m.	m.	PROPN
ejpam-7170	383	11	kermani	kermani	PROPN
ejpam-7170	383	12	.	.	PUNCT
ejpam-7170	384	1	an	an	DET
ejpam-7170	384	2	effective	effective	ADJ
ejpam-7170	384	3	ant	ant	ADJ
ejpam-7170	384	4	colony	colony	NOUN
ejpam-7170	384	5	optimization	optimization	NOUN
ejpam-7170	384	6	algorithm	algorithm	NOUN
ejpam-7170	384	7	(	(	PUNCT
ejpam-7170	384	8	aco	aco	PROPN
ejpam-7170	384	9	)	)	PUNCT
ejpam-7170	384	10	for	for	ADP
ejpam-7170	384	11	multi	multi	ADJ
ejpam-7170	384	12	-	-	ADJ
ejpam-7170	384	13	objective	objective	ADJ
ejpam-7170	384	14	resource	resource	NOUN
ejpam-7170	384	15	allocation	allocation	NOUN
ejpam-7170	384	16	problem	problem	NOUN
ejpam-7170	384	17	(	(	PUNCT
ejpam-7170	384	18	morap	morap	NOUN
ejpam-7170	384	19	)	)	PUNCT
ejpam-7170	384	20	.	.	PUNCT
ejpam-7170	385	1	applied	apply	VERB
ejpam-7170	385	2	mathematics	mathematic	NOUN
ejpam-7170	385	3	and	and	CCONJ
ejpam-7170	385	4	computation	computation	NOUN
ejpam-7170	385	5	,	,	PUNCT
ejpam-7170	385	6	200:167–177	200:167–177	NUM
ejpam-7170	385	7	,	,	PUNCT
ejpam-7170	385	8	2008	2008	NUM
ejpam-7170	385	9	.	.	PUNCT
ejpam-7170	386	1	[	[	X
ejpam-7170	386	2	15	15	NUM
ejpam-7170	386	3	]	]	X
ejpam-7170	386	4	y.	y.	PROPN
ejpam-7170	386	5	c.	c.	PROPN
ejpam-7170	386	6	liang	liang	PROPN
ejpam-7170	386	7	and	and	CCONJ
ejpam-7170	386	8	c.	c.	PROPN
ejpam-7170	386	9	y.	y.	PROPN
ejpam-7170	386	10	chuang	chuang	PROPN
ejpam-7170	386	11	.	.	PUNCT
ejpam-7170	387	1	variable	variable	ADJ
ejpam-7170	387	2	neighborhood	neighborhood	NOUN
ejpam-7170	387	3	search	search	NOUN
ejpam-7170	387	4	for	for	ADP
ejpam-7170	387	5	multi	multi	ADJ
ejpam-7170	387	6	-	-	ADJ
ejpam-7170	387	7	objective	objective	ADJ
ejpam-7170	387	8	resource	resource	NOUN
ejpam-7170	387	9	allocation	allocation	NOUN
ejpam-7170	387	10	problems	problem	NOUN
ejpam-7170	387	11	.	.	PUNCT
ejpam-7170	388	1	robotics	robotic	NOUN
ejpam-7170	388	2	and	and	CCONJ
ejpam-7170	388	3	computer	computer	NOUN
ejpam-7170	388	4	-	-	PUNCT
ejpam-7170	388	5	integrated	integrate	VERB
ejpam-7170	388	6	manufacturing	manufacturing	NOUN
ejpam-7170	388	7	,	,	PUNCT
ejpam-7170	388	8	29(3):73–78	29(3):73–78	NUM
ejpam-7170	388	9	,	,	PUNCT
ejpam-7170	388	10	2013	2013	NUM
ejpam-7170	388	11	.	.	PUNCT
ejpam-7170	389	1	[	[	X
ejpam-7170	389	2	16	16	NUM
ejpam-7170	389	3	]	]	PUNCT
ejpam-7170	389	4	j.	j.	PROPN
ejpam-7170	389	5	wu	wu	PROPN
ejpam-7170	389	6	,	,	PUNCT
ejpam-7170	389	7	z.	z.	PROPN
ejpam-7170	389	8	chang	chang	PROPN
ejpam-7170	389	9	,	,	PUNCT
ejpam-7170	389	10	l.	l.	PROPN
ejpam-7170	389	11	yuan	yuan	PROPN
ejpam-7170	389	12	,	,	PUNCT
ejpam-7170	389	13	y.	y.	PROPN
ejpam-7170	389	14	hou	hou	PROPN
ejpam-7170	389	15	,	,	PUNCT
ejpam-7170	389	16	and	and	CCONJ
ejpam-7170	389	17	m.	m.	NOUN
ejpam-7170	389	18	gong	gong	PROPN
ejpam-7170	389	19	.	.	PUNCT
ejpam-7170	390	1	a	a	DET
ejpam-7170	390	2	memetic	memetic	ADJ
ejpam-7170	390	3	algorithm	algorithm	NOUN
ejpam-7170	390	4	for	for	ADP
ejpam-7170	390	5	resource	resource	NOUN
ejpam-7170	390	6	allocation	allocation	NOUN
ejpam-7170	390	7	problem	problem	NOUN
ejpam-7170	390	8	based	base	VERB
ejpam-7170	390	9	on	on	ADP
ejpam-7170	390	10	node	node	NOUN
ejpam-7170	390	11	-	-	PUNCT
ejpam-7170	390	12	weighted	weight	VERB
ejpam-7170	390	13	graphs	graph	NOUN
ejpam-7170	390	14	.	.	PUNCT
ejpam-7170	391	1	ieee	ieee	PROPN
ejpam-7170	391	2	computational	computational	PROPN
ejpam-7170	391	3	intelligence	intelligence	PROPN
ejpam-7170	391	4	magazine	magazine	NOUN
ejpam-7170	391	5	,	,	PUNCT
ejpam-7170	391	6	2014	2014	NUM
ejpam-7170	391	7	.	.	PUNCT
ejpam-7170	392	1	[	[	X
ejpam-7170	392	2	17	17	NUM
ejpam-7170	392	3	]	]	X
ejpam-7170	392	4	q.	q.	PROPN
ejpam-7170	392	5	jia	jia	PROPN
ejpam-7170	392	6	and	and	CCONJ
ejpam-7170	392	7	y.	y.	PROPN
ejpam-7170	392	8	seo	seo	PROPN
ejpam-7170	392	9	.	.	PUNCT
ejpam-7170	393	1	an	an	DET
ejpam-7170	393	2	improved	improve	VERB
ejpam-7170	393	3	particle	particle	NOUN
ejpam-7170	393	4	swarm	swarm	NOUN
ejpam-7170	393	5	optimization	optimization	NOUN
ejpam-7170	393	6	for	for	ADP
ejpam-7170	393	7	the	the	DET
ejpam-7170	393	8	resourceconstrained	resourceconstraine	VERB
ejpam-7170	393	9	project	project	NOUN
ejpam-7170	393	10	scheduling	scheduling	NOUN
ejpam-7170	393	11	problem	problem	NOUN
ejpam-7170	393	12	.	.	PUNCT
ejpam-7170	394	1	international	international	ADJ
ejpam-7170	394	2	journal	journal	NOUN
ejpam-7170	394	3	of	of	ADP
ejpam-7170	394	4	advanced	advanced	ADJ
ejpam-7170	394	5	manufacturing	manufacturing	NOUN
ejpam-7170	394	6	technology	technology	NOUN
ejpam-7170	394	7	,	,	PUNCT
ejpam-7170	394	8	67:2627–2638	67:2627–2638	NUM
ejpam-7170	394	9	,	,	PUNCT
ejpam-7170	394	10	2013	2013	NUM
ejpam-7170	394	11	.	.	PUNCT
ejpam-7170	395	1	[	[	X
ejpam-7170	395	2	18	18	NUM
ejpam-7170	395	3	]	]	PUNCT
ejpam-7170	395	4	j.	j.	PROPN
ejpam-7170	395	5	h.	h.	PROPN
ejpam-7170	395	6	holland	holland	PROPN
ejpam-7170	395	7	.	.	PUNCT
ejpam-7170	396	1	adaptation	adaptation	NOUN
ejpam-7170	396	2	in	in	ADP
ejpam-7170	396	3	natural	natural	ADJ
ejpam-7170	396	4	and	and	CCONJ
ejpam-7170	396	5	artificial	artificial	ADJ
ejpam-7170	396	6	systems	system	NOUN
ejpam-7170	396	7	:	:	PUNCT
ejpam-7170	396	8	an	an	DET
ejpam-7170	396	9	introductory	introductory	ADJ
ejpam-7170	396	10	analysis	analysis	NOUN
ejpam-7170	396	11	with	with	ADP
ejpam-7170	396	12	applications	application	NOUN
ejpam-7170	396	13	to	to	ADP
ejpam-7170	396	14	biology	biology	NOUN
ejpam-7170	396	15	,	,	PUNCT
ejpam-7170	396	16	control	control	NOUN
ejpam-7170	396	17	,	,	PUNCT
ejpam-7170	396	18	and	and	CCONJ
ejpam-7170	396	19	artificial	artificial	ADJ
ejpam-7170	396	20	intelligence	intelligence	NOUN
ejpam-7170	396	21	.	.	PUNCT
ejpam-7170	397	1	mit	mit	PROPN
ejpam-7170	397	2	press	press	PROPN
ejpam-7170	397	3	,	,	PUNCT
ejpam-7170	397	4	1992	1992	NUM
ejpam-7170	397	5	.	.	PUNCT
ejpam-7170	398	1	[	[	X
ejpam-7170	398	2	19	19	NUM
ejpam-7170	398	3	]	]	X
ejpam-7170	398	4	d.	d.	PROPN
ejpam-7170	398	5	e.	e.	PROPN
ejpam-7170	398	6	goldberg	goldberg	PROPN
ejpam-7170	398	7	.	.	PUNCT
ejpam-7170	399	1	genetic	genetic	ADJ
ejpam-7170	399	2	algorithms	algorithm	NOUN
ejpam-7170	399	3	in	in	ADP
ejpam-7170	399	4	search	search	NOUN
ejpam-7170	399	5	,	,	PUNCT
ejpam-7170	399	6	optimization	optimization	NOUN
ejpam-7170	399	7	,	,	PUNCT
ejpam-7170	399	8	and	and	CCONJ
ejpam-7170	399	9	machine	machine	NOUN
ejpam-7170	399	10	learning	learning	NOUN
ejpam-7170	399	11	.	.	PUNCT
ejpam-7170	400	1	addison	addison	PROPN
ejpam-7170	400	2	-	-	PUNCT
ejpam-7170	400	3	wesley	wesley	PROPN
ejpam-7170	400	4	,	,	PUNCT
ejpam-7170	400	5	reading	reading	NOUN
ejpam-7170	400	6	,	,	PUNCT
ejpam-7170	400	7	ma	ma	PROPN
ejpam-7170	400	8	,	,	PUNCT
ejpam-7170	400	9	1989	1989	NUM
ejpam-7170	400	10	.	.	PUNCT
ejpam-7170	401	1	[	[	X
ejpam-7170	401	2	20	20	NUM
ejpam-7170	401	3	]	]	PUNCT
ejpam-7170	401	4	k.	k.	PROPN
ejpam-7170	401	5	miettinen	miettinen	PROPN
ejpam-7170	401	6	.	.	PUNCT
ejpam-7170	402	1	nonlinear	nonlinear	ADJ
ejpam-7170	402	2	multi	multi	ADJ
ejpam-7170	402	3	-	-	ADJ
ejpam-7170	402	4	objective	objective	ADJ
ejpam-7170	402	5	optimization	optimization	NOUN
ejpam-7170	402	6	.	.	PUNCT
ejpam-7170	403	1	kluwer	kluwer	NOUN
ejpam-7170	403	2	academic	academic	ADJ
ejpam-7170	403	3	publishers	publisher	NOUN
ejpam-7170	403	4	,	,	PUNCT
ejpam-7170	403	5	boston	boston	PROPN
ejpam-7170	403	6	,	,	PUNCT
ejpam-7170	403	7	1999	1999	NUM
ejpam-7170	403	8	.	.	PUNCT
ejpam-7170	404	1	[	[	X
ejpam-7170	404	2	21	21	NUM
ejpam-7170	404	3	]	]	PUNCT
ejpam-7170	404	4	a.	a.	NOUN
ejpam-7170	404	5	m.	m.	NOUN
ejpam-7170	404	6	algelany	algelany	PROPN
ejpam-7170	404	7	and	and	CCONJ
ejpam-7170	404	8	m.	m.	NOUN
ejpam-7170	404	9	a.	a.	PROPN
ejpam-7170	404	10	el	el	PROPN
ejpam-7170	404	11	-	-	PUNCT
ejpam-7170	404	12	shorbagy	shorbagy	ADJ
ejpam-7170	404	13	.	.	PUNCT
ejpam-7170	405	1	chaotic	chaotic	ADJ
ejpam-7170	405	2	enhanced	enhanced	ADJ
ejpam-7170	405	3	genetic	genetic	ADJ
ejpam-7170	405	4	algorithm	algorithm	NOUN
ejpam-7170	405	5	for	for	ADP
ejpam-7170	405	6	solving	solve	VERB
ejpam-7170	405	7	the	the	DET
ejpam-7170	405	8	nonlinear	nonlinear	ADJ
ejpam-7170	405	9	system	system	NOUN
ejpam-7170	405	10	of	of	ADP
ejpam-7170	405	11	equations	equation	NOUN
ejpam-7170	405	12	.	.	PUNCT
ejpam-7170	406	1	computational	computational	ADJ
ejpam-7170	406	2	intelligence	intelligence	NOUN
ejpam-7170	406	3	and	and	CCONJ
ejpam-7170	406	4	neurom.a	neurom.a	PROPN
ejpam-7170	406	5	.	.	PUNCT
ejpam-7170	407	1	el	el	PROPN
ejpam-7170	407	2	-	-	PROPN
ejpam-7170	407	3	shorbagy	shorbagy	PROPN
ejpam-7170	407	4	et	et	PROPN
ejpam-7170	407	5	al	al	PROPN
ejpam-7170	407	6	.	.	PUNCT
ejpam-7170	407	7	/	/	SYM
ejpam-7170	407	8	eur	eur	PROPN
ejpam-7170	407	9	.	.	PUNCT
ejpam-7170	408	1	j.	j.	PROPN
ejpam-7170	408	2	pure	pure	PROPN
ejpam-7170	408	3	appl	appl	PROPN
ejpam-7170	408	4	.	.	PROPN
ejpam-7170	408	5	math	math	PROPN
ejpam-7170	408	6	,	,	PUNCT
ejpam-7170	408	7	18	18	NUM
ejpam-7170	408	8	(	(	PUNCT
ejpam-7170	408	9	4	4	NUM
ejpam-7170	408	10	)	)	PUNCT
ejpam-7170	408	11	(	(	PUNCT
ejpam-7170	408	12	2025	2025	NUM
ejpam-7170	408	13	)	)	PUNCT
ejpam-7170	408	14	,	,	PUNCT
ejpam-7170	408	15	7170	7170	NUM
ejpam-7170	408	16	21	21	NUM
ejpam-7170	408	17	of	of	ADP
ejpam-7170	408	18	21	21	NUM
ejpam-7170	408	19	science	science	NOUN
ejpam-7170	408	20	,	,	PUNCT
ejpam-7170	408	21	2022	2022	NUM
ejpam-7170	408	22	.	.	PUNCT
ejpam-7170	409	1	[	[	X
ejpam-7170	409	2	22	22	NUM
ejpam-7170	409	3	]	]	PUNCT
ejpam-7170	409	4	a.	a.	PROPN
ejpam-7170	409	5	y.	y.	PROPN
ejpam-7170	409	6	ayoub	ayoub	PROPN
ejpam-7170	409	7	,	,	PUNCT
ejpam-7170	409	8	m.	m.	NOUN
ejpam-7170	409	9	a.	a.	PROPN
ejpam-7170	409	10	el	el	PROPN
ejpam-7170	409	11	-	-	PUNCT
ejpam-7170	409	12	shorbagy	shorbagy	ADJ
ejpam-7170	409	13	,	,	PUNCT
ejpam-7170	409	14	i.	i.	PROPN
ejpam-7170	409	15	m.	m.	PROPN
ejpam-7170	409	16	el	el	PROPN
ejpam-7170	409	17	-	-	PROPN
ejpam-7170	409	18	desoky	desoky	PROPN
ejpam-7170	409	19	,	,	PUNCT
ejpam-7170	409	20	and	and	CCONJ
ejpam-7170	409	21	a.	a.	NOUN
ejpam-7170	409	22	a.	a.	NOUN
ejpam-7170	409	23	mousa	mousa	PROPN
ejpam-7170	409	24	.	.	PUNCT
ejpam-7170	410	1	cell	cell	NOUN
ejpam-7170	410	2	blood	blood	NOUN
ejpam-7170	410	3	image	image	NOUN
ejpam-7170	410	4	segmentation	segmentation	NOUN
ejpam-7170	410	5	based	base	VERB
ejpam-7170	410	6	on	on	ADP
ejpam-7170	410	7	genetic	genetic	ADJ
ejpam-7170	410	8	algorithm	algorithm	NOUN
ejpam-7170	410	9	.	.	PUNCT
ejpam-7170	411	1	in	in	ADP
ejpam-7170	411	2	the	the	DET
ejpam-7170	411	3	international	international	ADJ
ejpam-7170	411	4	conference	conference	NOUN
ejpam-7170	411	5	on	on	ADP
ejpam-7170	411	6	artificial	artificial	ADJ
ejpam-7170	411	7	intelligence	intelligence	NOUN
ejpam-7170	411	8	and	and	CCONJ
ejpam-7170	411	9	computer	computer	NOUN
ejpam-7170	411	10	vision	vision	NOUN
ejpam-7170	411	11	,	,	PUNCT
ejpam-7170	411	12	pages	page	NOUN
ejpam-7170	411	13	564–573	564–573	NUM
ejpam-7170	411	14	,	,	PUNCT
ejpam-7170	411	15	cham	cham	PROPN
ejpam-7170	411	16	,	,	PUNCT
ejpam-7170	411	17	march	march	PROPN
ejpam-7170	411	18	2020	2020	NUM
ejpam-7170	411	19	.	.	PUNCT
ejpam-7170	412	1	springer	springer	NOUN
ejpam-7170	412	2	international	international	ADJ
ejpam-7170	412	3	publishing	publishing	NOUN
ejpam-7170	412	4	.	.	PUNCT
ejpam-7170	413	1	[	[	X
ejpam-7170	413	2	23	23	NUM
ejpam-7170	413	3	]	]	X
ejpam-7170	413	4	c.	c.	PROPN
ejpam-7170	413	5	m.	m.	PROPN
ejpam-7170	413	6	lin	lin	PROPN
ejpam-7170	413	7	and	and	CCONJ
ejpam-7170	413	8	m.	m.	PROPN
ejpam-7170	413	9	gen	gen	PROPN
ejpam-7170	413	10	.	.	PROPN
ejpam-7170	413	11	multiobjective	multiobjective	ADJ
ejpam-7170	413	12	resource	resource	NOUN
ejpam-7170	413	13	allocation	allocation	NOUN
ejpam-7170	413	14	problem	problem	NOUN
ejpam-7170	413	15	by	by	ADP
ejpam-7170	413	16	multistage	multistage	NOUN
ejpam-7170	413	17	decision	decision	NOUN
ejpam-7170	413	18	-	-	PUNCT
ejpam-7170	413	19	based	base	VERB
ejpam-7170	413	20	hybrid	hybrid	ADJ
ejpam-7170	413	21	genetic	genetic	ADJ
ejpam-7170	413	22	algorithm	algorithm	NOUN
ejpam-7170	413	23	.	.	PUNCT
ejpam-7170	414	1	applied	apply	VERB
ejpam-7170	414	2	mathematics	mathematic	NOUN
ejpam-7170	414	3	and	and	CCONJ
ejpam-7170	414	4	computation	computation	NOUN
ejpam-7170	414	5	,	,	PUNCT
ejpam-7170	414	6	187:574–583	187:574–583	NUM
ejpam-7170	414	7	,	,	PUNCT
ejpam-7170	414	8	2007	2007	NUM
ejpam-7170	414	9	.	.	PUNCT
ejpam-7170	415	1	[	[	X
ejpam-7170	415	2	24	24	NUM
ejpam-7170	415	3	]	]	X
ejpam-7170	415	4	n.	n.	PROPN
ejpam-7170	415	5	m.	m.	PROPN
ejpam-7170	415	6	razali	razali	PROPN
ejpam-7170	415	7	and	and	CCONJ
ejpam-7170	415	8	j.	j.	PROPN
ejpam-7170	415	9	geraghty	geraghty	PROPN
ejpam-7170	415	10	.	.	PUNCT
ejpam-7170	416	1	genetic	genetic	ADJ
ejpam-7170	416	2	algorithm	algorithm	NOUN
ejpam-7170	416	3	performance	performance	NOUN
ejpam-7170	416	4	with	with	ADP
ejpam-7170	416	5	different	different	ADJ
ejpam-7170	416	6	selection	selection	NOUN
ejpam-7170	416	7	strategies	strategy	NOUN
ejpam-7170	416	8	in	in	ADP
ejpam-7170	416	9	solving	solve	VERB
ejpam-7170	416	10	tsp	tsp	NOUN
ejpam-7170	416	11	.	.	PUNCT
ejpam-7170	417	1	in	in	ADP
ejpam-7170	417	2	proceedings	proceeding	NOUN
ejpam-7170	417	3	of	of	ADP
ejpam-7170	417	4	the	the	DET
ejpam-7170	417	5	world	world	NOUN
ejpam-7170	417	6	congress	congress	PROPN
ejpam-7170	417	7	on	on	ADP
ejpam-7170	417	8	engineering	engineering	PROPN
ejpam-7170	417	9	ii	ii	PROPN
ejpam-7170	417	10	,	,	PUNCT
ejpam-7170	417	11	2011	2011	NUM
ejpam-7170	417	12	.	.	PUNCT
ejpam-7170	418	1	[	[	X
ejpam-7170	418	2	25	25	NUM
ejpam-7170	418	3	]	]	X
ejpam-7170	418	4	c.	c.	PROPN
ejpam-7170	418	5	m.	m.	PROPN
ejpam-7170	418	6	lin	lin	PROPN
ejpam-7170	418	7	and	and	CCONJ
ejpam-7170	418	8	m.	m.	PROPN
ejpam-7170	418	9	gen	gen	PROPN
ejpam-7170	418	10	.	.	PROPN
ejpam-7170	418	11	multi	multi	ADJ
ejpam-7170	418	12	-	-	ADJ
ejpam-7170	418	13	criteria	criteria	ADJ
ejpam-7170	418	14	human	human	ADJ
ejpam-7170	418	15	resource	resource	NOUN
ejpam-7170	418	16	allocation	allocation	NOUN
ejpam-7170	418	17	for	for	ADP
ejpam-7170	418	18	solving	solve	VERB
ejpam-7170	418	19	multistage	multistage	NOUN
ejpam-7170	418	20	combinatorial	combinatorial	ADJ
ejpam-7170	418	21	optimization	optimization	NOUN
ejpam-7170	418	22	problems	problem	NOUN
ejpam-7170	418	23	using	use	VERB
ejpam-7170	418	24	multi	multi	ADJ
ejpam-7170	418	25	-	-	ADJ
ejpam-7170	418	26	objective	objective	ADJ
ejpam-7170	418	27	hybrid	hybrid	ADJ
ejpam-7170	418	28	genetic	genetic	ADJ
ejpam-7170	418	29	algorithm	algorithm	NOUN
ejpam-7170	418	30	.	.	PUNCT
ejpam-7170	419	1	expert	expert	NOUN
ejpam-7170	419	2	systems	system	NOUN
ejpam-7170	419	3	with	with	ADP
ejpam-7170	419	4	applications	application	NOUN
ejpam-7170	419	5	,	,	PUNCT
ejpam-7170	419	6	34:2480–2490	34:2480–2490	NUM
ejpam-7170	419	7	,	,	PUNCT
ejpam-7170	419	8	2008	2008	NUM
ejpam-7170	419	9	.	.	PUNCT
ejpam-7170	420	1	[	[	X
ejpam-7170	420	2	26	26	NUM
ejpam-7170	420	3	]	]	X
ejpam-7170	420	4	n.	n.	PROPN
ejpam-7170	420	5	srinivas	srinivas	PROPN
ejpam-7170	420	6	and	and	CCONJ
ejpam-7170	420	7	k.	k.	PROPN
ejpam-7170	420	8	deb	deb	PROPN
ejpam-7170	420	9	.	.	PUNCT
ejpam-7170	421	1	multi	multi	ADJ
ejpam-7170	421	2	-	-	ADJ
ejpam-7170	421	3	objective	objective	ADJ
ejpam-7170	421	4	optimization	optimization	NOUN
ejpam-7170	421	5	using	use	VERB
ejpam-7170	421	6	non	non	ADJ
ejpam-7170	421	7	-	-	ADJ
ejpam-7170	421	8	dominated	dominated	ADJ
ejpam-7170	421	9	sorting	sorting	NOUN
ejpam-7170	421	10	in	in	ADP
ejpam-7170	421	11	genetic	genetic	ADJ
ejpam-7170	421	12	algorithms	algorithm	NOUN
ejpam-7170	421	13	.	.	PUNCT
ejpam-7170	422	1	evolutionary	evolutionary	ADJ
ejpam-7170	422	2	computation	computation	NOUN
ejpam-7170	422	3	,	,	PUNCT
ejpam-7170	422	4	2(3):221–248	2(3):221–248	NUM
ejpam-7170	422	5	,	,	PUNCT
ejpam-7170	422	6	1999	1999	NUM
ejpam-7170	422	7	.	.	PUNCT
ejpam-7170	423	1	[	[	X
ejpam-7170	423	2	27	27	NUM
ejpam-7170	423	3	]	]	PUNCT
ejpam-7170	423	4	a.	a.	NOUN
ejpam-7170	423	5	gelbukh	gelbukh	PROPN
ejpam-7170	423	6	and	and	CCONJ
ejpam-7170	423	7	c.	c.	PROPN
ejpam-7170	423	8	a.	a.	PROPN
ejpam-7170	423	9	reyes	reyes	PROPN
ejpam-7170	423	10	-	-	PUNCT
ejpam-7170	423	11	garcia	garcia	PROPN
ejpam-7170	423	12	.	.	PUNCT
ejpam-7170	424	1	micai	micai	PROPN
ejpam-7170	424	2	2006	2006	NUM
ejpam-7170	424	3	:	:	PUNCT
ejpam-7170	424	4	advances	advance	NOUN
ejpam-7170	424	5	in	in	ADP
ejpam-7170	424	6	artificial	artificial	ADJ
ejpam-7170	424	7	intelligence	intelligence	NOUN
ejpam-7170	424	8	.	.	PUNCT
ejpam-7170	425	1	springer	springer	PROPN
ejpam-7170	425	2	,	,	PUNCT
ejpam-7170	425	3	heidelberg	heidelberg	PROPN
ejpam-7170	425	4	,	,	PUNCT
ejpam-7170	425	5	2006	2006	NUM
ejpam-7170	425	6	.	.	PUNCT
ejpam-7170	426	1	[	[	X
ejpam-7170	426	2	28	28	NUM
ejpam-7170	426	3	]	]	X
ejpam-7170	426	4	g.	g.	PROPN
ejpam-7170	426	5	h.	h.	PROPN
ejpam-7170	426	6	tzeng	tzeng	PROPN
ejpam-7170	426	7	and	and	CCONJ
ejpam-7170	426	8	j.	j.	PROPN
ejpam-7170	426	9	j.	j.	PROPN
ejpam-7170	426	10	huang	huang	PROPN
ejpam-7170	426	11	.	.	PROPN
ejpam-7170	426	12	fuzzy	fuzzy	ADJ
ejpam-7170	426	13	multiple	multiple	ADJ
ejpam-7170	426	14	objective	objective	ADJ
ejpam-7170	426	15	decision	decision	NOUN
ejpam-7170	426	16	making	making	NOUN
ejpam-7170	426	17	.	.	PUNCT
ejpam-7170	427	1	crc	crc	PROPN
ejpam-7170	427	2	press	press	PROPN
ejpam-7170	427	3	,	,	PUNCT
ejpam-7170	427	4	2013	2013	NUM
ejpam-7170	427	5	.	.	PUNCT
ejpam-7170	428	1	[	[	X
ejpam-7170	428	2	29	29	NUM
ejpam-7170	428	3	]	]	PUNCT
ejpam-7170	428	4	m.	m.	NOUN
ejpam-7170	428	5	gen	gen	PROPN
ejpam-7170	428	6	and	and	CCONJ
ejpam-7170	428	7	r.	r.	PROPN
ejpam-7170	428	8	cheng	cheng	PROPN
ejpam-7170	428	9	.	.	PUNCT
ejpam-7170	429	1	genetic	genetic	ADJ
ejpam-7170	429	2	algorithms	algorithm	NOUN
ejpam-7170	429	3	and	and	CCONJ
ejpam-7170	429	4	engineering	engineering	NOUN
ejpam-7170	429	5	optimization	optimization	NOUN
ejpam-7170	429	6	.	.	PUNCT
ejpam-7170	430	1	john	john	PROPN
ejpam-7170	430	2	wiley	wiley	PROPN
ejpam-7170	430	3	&	&	CCONJ
ejpam-7170	430	4	sons	son	NOUN
ejpam-7170	430	5	,	,	PUNCT
ejpam-7170	430	6	new	new	PROPN
ejpam-7170	430	7	york	york	PROPN
ejpam-7170	430	8	,	,	PUNCT
ejpam-7170	430	9	2000	2000	NUM
ejpam-7170	430	10	.	.	PUNCT
ejpam-7170	431	1	[	[	X
ejpam-7170	431	2	30	30	NUM
ejpam-7170	431	3	]	]	PUNCT
ejpam-7170	431	4	k.	k.	PROPN
ejpam-7170	431	5	j.	j.	PROPN
ejpam-7170	431	6	wang	wang	PROPN
ejpam-7170	431	7	and	and	CCONJ
ejpam-7170	431	8	y.	y.	PROPN
ejpam-7170	431	9	s.	s.	PROPN
ejpam-7170	431	10	lin	lin	PROPN
ejpam-7170	431	11	.	.	PUNCT
ejpam-7170	432	1	resource	resource	NOUN
ejpam-7170	432	2	allocation	allocation	NOUN
ejpam-7170	432	3	by	by	ADP
ejpam-7170	432	4	genetic	genetic	ADJ
ejpam-7170	432	5	algorithm	algorithm	NOUN
ejpam-7170	432	6	with	with	ADP
ejpam-7170	432	7	fuzzy	fuzzy	ADJ
ejpam-7170	432	8	inference	inference	NOUN
ejpam-7170	432	9	.	.	PUNCT
ejpam-7170	433	1	expert	expert	NOUN
ejpam-7170	433	2	systems	system	NOUN
ejpam-7170	433	3	with	with	ADP
ejpam-7170	433	4	applications	application	NOUN
ejpam-7170	433	5	,	,	PUNCT
ejpam-7170	433	6	33:1025–1035	33:1025–1035	NUM
ejpam-7170	433	7	,	,	PUNCT
ejpam-7170	433	8	2007	2007	NUM
ejpam-7170	433	9	.	.	PUNCT
ejpam-7170	434	1	[	[	X
ejpam-7170	434	2	31	31	NUM
ejpam-7170	434	3	]	]	PUNCT
ejpam-7170	434	4	k.	k.	NOUN
ejpam-7170	435	1	deep	deep	PROPN
ejpam-7170	435	2	and	and	CCONJ
ejpam-7170	435	3	h.	h.	PROPN
ejpam-7170	435	4	mebrahtu	mebrahtu	PROPN
ejpam-7170	435	5	.	.	PUNCT
ejpam-7170	436	1	combined	combine	VERB
ejpam-7170	436	2	mutation	mutation	NOUN
ejpam-7170	436	3	operators	operator	NOUN
ejpam-7170	436	4	of	of	ADP
ejpam-7170	436	5	genetic	genetic	ADJ
ejpam-7170	436	6	algorithm	algorithm	NOUN
ejpam-7170	436	7	for	for	ADP
ejpam-7170	436	8	the	the	DET
ejpam-7170	436	9	travelling	travel	VERB
ejpam-7170	436	10	salesman	salesman	ADJ
ejpam-7170	436	11	problem	problem	NOUN
ejpam-7170	436	12	.	.	PUNCT
ejpam-7170	437	1	international	international	ADJ
ejpam-7170	437	2	journal	journal	NOUN
ejpam-7170	437	3	of	of	ADP
ejpam-7170	437	4	combinatorial	combinatorial	ADJ
ejpam-7170	437	5	optimization	optimization	NOUN
ejpam-7170	437	6	problems	problem	NOUN
ejpam-7170	437	7	and	and	CCONJ
ejpam-7170	437	8	informatics	informatic	NOUN
ejpam-7170	437	9	,	,	PUNCT
ejpam-7170	437	10	2(3):1–23	2(3):1–23	PROPN
ejpam-7170	437	11	,	,	PUNCT
ejpam-7170	437	12	2011	2011	NUM
ejpam-7170	437	13	.	.	PUNCT
ejpam-7170	438	1	[	[	X
ejpam-7170	438	2	32	32	NUM
ejpam-7170	438	3	]	]	PUNCT
ejpam-7170	438	4	m.	m.	NOUN
ejpam-7170	438	5	l.	l.	PROPN
ejpam-7170	438	6	hussein	hussein	PROPN
ejpam-7170	438	7	and	and	CCONJ
ejpam-7170	438	8	m.	m.	NOUN
ejpam-7170	438	9	a.	a.	PROPN
ejpam-7170	438	10	abo	abo	NOUN
ejpam-7170	438	11	-	-	PUNCT
ejpam-7170	438	12	sinna	sinna	NOUN
ejpam-7170	438	13	.	.	PUNCT
ejpam-7170	439	1	a	a	DET
ejpam-7170	439	2	fuzzy	fuzzy	ADJ
ejpam-7170	439	3	dynamic	dynamic	ADJ
ejpam-7170	439	4	approach	approach	NOUN
ejpam-7170	439	5	to	to	ADP
ejpam-7170	439	6	the	the	DET
ejpam-7170	439	7	multicriterion	multicriterion	NOUN
ejpam-7170	439	8	resource	resource	NOUN
ejpam-7170	439	9	allocation	allocation	NOUN
ejpam-7170	439	10	problem	problem	NOUN
ejpam-7170	439	11	.	.	PUNCT
ejpam-7170	440	1	fuzzy	fuzzy	ADJ
ejpam-7170	440	2	sets	set	NOUN
ejpam-7170	440	3	and	and	CCONJ
ejpam-7170	440	4	systems	system	NOUN
ejpam-7170	440	5	,	,	PUNCT
ejpam-7170	440	6	69(2):115–124	69(2):115–124	PROPN
ejpam-7170	440	7	,	,	PUNCT
ejpam-7170	440	8	1995	1995	NUM
ejpam-7170	440	9	.	.	PUNCT
ejpam-7170	441	1	[	[	X
ejpam-7170	441	2	33	33	NUM
ejpam-7170	441	3	]	]	PUNCT
ejpam-7170	441	4	k.	k.	PROPN
ejpam-7170	442	1	k.	k.	PROPN
ejpam-7170	442	2	lai	lai	PROPN
ejpam-7170	442	3	and	and	CCONJ
ejpam-7170	442	4	l.	l.	PROPN
ejpam-7170	442	5	li	li	PROPN
ejpam-7170	442	6	.	.	PUNCT
ejpam-7170	443	1	a	a	DET
ejpam-7170	443	2	dynamic	dynamic	ADJ
ejpam-7170	443	3	approach	approach	NOUN
ejpam-7170	443	4	to	to	ADP
ejpam-7170	443	5	multiple	multiple	ADJ
ejpam-7170	443	6	-	-	PUNCT
ejpam-7170	443	7	objective	objective	ADJ
ejpam-7170	443	8	resource	resource	NOUN
ejpam-7170	443	9	allocation	allocation	NOUN
ejpam-7170	443	10	problem	problem	NOUN
ejpam-7170	443	11	.	.	PUNCT
ejpam-7170	444	1	european	european	ADJ
ejpam-7170	444	2	journal	journal	PROPN
ejpam-7170	444	3	of	of	ADP
ejpam-7170	444	4	operational	operational	ADJ
ejpam-7170	444	5	research	research	NOUN
ejpam-7170	444	6	,	,	PUNCT
ejpam-7170	444	7	117(2):293–309	117(2):293–309	NUM
ejpam-7170	444	8	,	,	PUNCT
ejpam-7170	444	9	1999	1999	NUM
ejpam-7170	444	10	.	.	PUNCT
ejpam-7170	445	1	[	[	X
ejpam-7170	445	2	34	34	NUM
ejpam-7170	445	3	]	]	PUNCT
ejpam-7170	445	4	a.	a.	NOUN
ejpam-7170	445	5	a.	a.	NOUN
ejpam-7170	445	6	mousa	mousa	PROPN
ejpam-7170	445	7	,	,	PUNCT
ejpam-7170	445	8	m.	m.	NOUN
ejpam-7170	445	9	a.	a.	PROPN
ejpam-7170	445	10	el	el	PROPN
ejpam-7170	445	11	-	-	PUNCT
ejpam-7170	445	12	shorbagy	shorbagy	ADJ
ejpam-7170	445	13	,	,	PUNCT
ejpam-7170	445	14	and	and	CCONJ
ejpam-7170	445	15	m.	m.	NOUN
ejpam-7170	445	16	a.	a.	NOUN
ejpam-7170	445	17	farag	farag	PROPN
ejpam-7170	445	18	.	.	PUNCT
ejpam-7170	446	1	k	k	X
ejpam-7170	446	2	-	-	PUNCT
ejpam-7170	446	3	means	means	NOUN
ejpam-7170	446	4	-	-	PUNCT
ejpam-7170	446	5	clustering	cluster	VERB
ejpam-7170	446	6	based	base	VERB
ejpam-7170	446	7	evolutionary	evolutionary	ADJ
ejpam-7170	446	8	algorithm	algorithm	NOUN
ejpam-7170	446	9	for	for	ADP
ejpam-7170	446	10	multi	multi	ADJ
ejpam-7170	446	11	-	-	ADJ
ejpam-7170	446	12	objective	objective	ADJ
ejpam-7170	446	13	resource	resource	NOUN
ejpam-7170	446	14	allocation	allocation	NOUN
ejpam-7170	446	15	problems	problem	NOUN
ejpam-7170	446	16	.	.	PUNCT
ejpam-7170	447	1	applied	apply	VERB
ejpam-7170	447	2	mathematics	mathematic	NOUN
ejpam-7170	447	3	and	and	CCONJ
ejpam-7170	447	4	information	information	NOUN
ejpam-7170	447	5	sciences	science	NOUN
ejpam-7170	447	6	,	,	PUNCT
ejpam-7170	447	7	11(6):1681–1692	11(6):1681–1692	NUM
ejpam-7170	447	8	,	,	PUNCT
ejpam-7170	447	9	2017	2017	NUM
ejpam-7170	447	10	.	.	PUNCT