id	sid	tid	token	lemma	pos
fcis-26478	1	1	frontiers	frontier	NOUN
fcis-26478	1	2	in	in	ADP
fcis-26478	1	3	computing	computing	NOUN
fcis-26478	1	4	and	and	CCONJ
fcis-26478	1	5	intelligent	intelligent	ADJ
fcis-26478	1	6	systems	system	NOUN
fcis-26478	1	7	issn	issn	VERB
fcis-26478	1	8	:	:	PUNCT
fcis-26478	1	9	2832	2832	NUM
fcis-26478	1	10	-	-	SYM
fcis-26478	1	11	6024	6024	NUM
fcis-26478	1	12	|	|	NOUN
fcis-26478	1	13	vol	vol	NOUN
fcis-26478	1	14	.	.	PROPN
fcis-26478	2	1	10	10	NUM
fcis-26478	2	2	,	,	PUNCT
fcis-26478	2	3	no	no	INTJ
fcis-26478	2	4	.	.	NOUN
fcis-26478	2	5	1	1	NUM
fcis-26478	2	6	,	,	PUNCT
fcis-26478	2	7	2024	2024	NUM
fcis-26478	2	8	54	54	NUM
fcis-26478	2	9	a	a	DET
fcis-26478	2	10	survey	survey	NOUN
fcis-26478	2	11	on	on	ADP
fcis-26478	2	12	multimodal	multimodal	ADJ
fcis-26478	2	13	multiobjective	multiobjective	ADJ
fcis-26478	2	14	optimization	optimization	NOUN
fcis-26478	2	15	algorithm	algorithm	NOUN
fcis-26478	2	16	jiaying	jiaying	PROPN
fcis-26478	2	17	wang	wang	PROPN
fcis-26478	2	18	,	,	PUNCT
fcis-26478	2	19	yinxing	yinxe	VERB
fcis-26478	2	20	chen	chen	PROPN
fcis-26478	2	21	and	and	CCONJ
fcis-26478	2	22	weijie	weijie	PROPN
fcis-26478	2	23	wu	wu	PROPN
fcis-26478	2	24	college	college	PROPN
fcis-26478	2	25	of	of	ADP
fcis-26478	2	26	computer	computer	NOUN
fcis-26478	2	27	science	science	NOUN
fcis-26478	2	28	,	,	PUNCT
fcis-26478	2	29	guangdong	guangdong	PROPN
fcis-26478	2	30	university	university	PROPN
fcis-26478	2	31	of	of	ADP
fcis-26478	2	32	science	science	NOUN
fcis-26478	2	33	and	and	CCONJ
fcis-26478	2	34	technology	technology	NOUN
fcis-26478	2	35	,	,	PUNCT
fcis-26478	2	36	dongguan	dongguan	PROPN
fcis-26478	2	37	guangdong	guangdong	PROPN
fcis-26478	2	38	523083	523083	PROPN
fcis-26478	2	39	,	,	PUNCT
fcis-26478	2	40	china	china	PROPN
fcis-26478	2	41	abstract	abstract	PROPN
fcis-26478	2	42	:	:	PUNCT
fcis-26478	2	43	with	with	ADP
fcis-26478	2	44	the	the	DET
fcis-26478	2	45	diversification	diversification	NOUN
fcis-26478	2	46	of	of	ADP
fcis-26478	2	47	industrial	industrial	ADJ
fcis-26478	2	48	production	production	NOUN
fcis-26478	2	49	and	and	CCONJ
fcis-26478	2	50	daily	daily	ADJ
fcis-26478	2	51	life	life	NOUN
fcis-26478	2	52	needs	need	NOUN
fcis-26478	2	53	,	,	PUNCT
fcis-26478	2	54	traditional	traditional	ADJ
fcis-26478	2	55	single	single	ADJ
fcis-26478	2	56	modal	modal	ADJ
fcis-26478	2	57	multi	multi	ADJ
fcis-26478	2	58	-	-	ADJ
fcis-26478	2	59	objective	objective	ADJ
fcis-26478	2	60	optimization	optimization	NOUN
fcis-26478	2	61	algorithms	algorithm	NOUN
fcis-26478	2	62	are	be	AUX
fcis-26478	2	63	no	no	ADV
fcis-26478	2	64	longer	long	ADV
fcis-26478	2	65	able	able	ADJ
fcis-26478	2	66	to	to	PART
fcis-26478	2	67	meet	meet	VERB
fcis-26478	2	68	complex	complex	ADJ
fcis-26478	2	69	decision	decision	NOUN
fcis-26478	2	70	-	-	PUNCT
fcis-26478	2	71	making	make	VERB
fcis-26478	2	72	requirements	requirement	NOUN
fcis-26478	2	73	.	.	PUNCT
fcis-26478	3	1	multimodal	multimodal	ADJ
fcis-26478	3	2	multi	multi	ADJ
fcis-26478	3	3	-	-	ADJ
fcis-26478	3	4	objective	objective	ADJ
fcis-26478	3	5	optimization	optimization	NOUN
fcis-26478	3	6	algorithms	algorithm	NOUN
fcis-26478	3	7	(	(	PUNCT
fcis-26478	3	8	mmopas	mmopas	NOUN
fcis-26478	3	9	)	)	PUNCT
fcis-26478	3	10	provide	provide	VERB
fcis-26478	3	11	decisionmakers	decisionmaker	NOUN
fcis-26478	3	12	with	with	ADP
fcis-26478	3	13	more	more	ADJ
fcis-26478	3	14	options	option	NOUN
fcis-26478	3	15	by	by	ADP
fcis-26478	3	16	offering	offer	VERB
fcis-26478	3	17	multiple	multiple	ADJ
fcis-26478	3	18	feasible	feasible	ADJ
fcis-26478	3	19	pareto	pareto	ADJ
fcis-26478	3	20	optimal	optimal	ADJ
fcis-26478	3	21	solution	solution	NOUN
fcis-26478	3	22	sets	set	NOUN
fcis-26478	3	23	.	.	PUNCT
fcis-26478	4	1	this	this	DET
fcis-26478	4	2	article	article	NOUN
fcis-26478	4	3	provides	provide	VERB
fcis-26478	4	4	a	a	DET
fcis-26478	4	5	detailed	detailed	ADJ
fcis-26478	4	6	analysis	analysis	NOUN
fcis-26478	4	7	of	of	ADP
fcis-26478	4	8	the	the	DET
fcis-26478	4	9	research	research	NOUN
fcis-26478	4	10	background	background	NOUN
fcis-26478	4	11	and	and	CCONJ
fcis-26478	4	12	related	related	ADJ
fcis-26478	4	13	concepts	concept	NOUN
fcis-26478	4	14	of	of	ADP
fcis-26478	4	15	multimodal	multimodal	ADJ
fcis-26478	4	16	multiobjective	multiobjective	ADJ
fcis-26478	4	17	optimization	optimization	NOUN
fcis-26478	4	18	algorithms	algorithm	NOUN
fcis-26478	4	19	.	.	PUNCT
fcis-26478	5	1	it	it	PRON
fcis-26478	5	2	analyzes	analyze	VERB
fcis-26478	5	3	the	the	DET
fcis-26478	5	4	current	current	ADJ
fcis-26478	5	5	development	development	NOUN
fcis-26478	5	6	status	status	NOUN
fcis-26478	5	7	of	of	ADP
fcis-26478	5	8	multimodal	multimodal	ADJ
fcis-26478	5	9	multi	multi	ADJ
fcis-26478	5	10	-	-	ADJ
fcis-26478	5	11	objective	objective	ADJ
fcis-26478	5	12	optimization	optimization	NOUN
fcis-26478	5	13	algorithms	algorithm	NOUN
fcis-26478	5	14	,	,	PUNCT
fcis-26478	5	15	introduces	introduce	NOUN
fcis-26478	5	16	commonly	commonly	ADV
fcis-26478	5	17	used	use	VERB
fcis-26478	5	18	benchmark	benchmark	NOUN
fcis-26478	5	19	problems	problem	NOUN
fcis-26478	5	20	and	and	CCONJ
fcis-26478	5	21	evaluation	evaluation	NOUN
fcis-26478	5	22	indicators	indicator	NOUN
fcis-26478	5	23	,	,	PUNCT
fcis-26478	5	24	and	and	CCONJ
fcis-26478	5	25	finally	finally	ADV
fcis-26478	5	26	explaines	explain	VERB
fcis-26478	5	27	future	future	ADJ
fcis-26478	5	28	research	research	NOUN
fcis-26478	5	29	directions	direction	NOUN
fcis-26478	5	30	.	.	PUNCT
fcis-26478	6	1	keywords	keyword	NOUN
fcis-26478	6	2	:	:	PUNCT
fcis-26478	6	3	multimodal	multimodal	ADJ
fcis-26478	6	4	multi	multi	ADJ
fcis-26478	6	5	-	-	ADJ
fcis-26478	6	6	objective	objective	ADJ
fcis-26478	6	7	;	;	PUNCT
fcis-26478	6	8	optimization	optimization	NOUN
fcis-26478	6	9	algorithms	algorithm	NOUN
fcis-26478	6	10	;	;	PUNCT
fcis-26478	6	11	benchmark	benchmark	NOUN
fcis-26478	6	12	problems	problem	NOUN
fcis-26478	6	13	.	.	PUNCT
fcis-26478	7	1	1	1	X
fcis-26478	7	2	.	.	X
fcis-26478	7	3	introduction	introduction	NOUN
fcis-26478	7	4	multi	multi	ADJ
fcis-26478	7	5	-	-	ADJ
fcis-26478	7	6	objective	objective	ADJ
fcis-26478	7	7	optimization	optimization	NOUN
fcis-26478	7	8	problems	problem	NOUN
fcis-26478	7	9	(	(	PUNCT
fcis-26478	7	10	mops	mop	NOUN
fcis-26478	7	11	)	)	PUNCT
fcis-26478	7	12	refer	refer	VERB
fcis-26478	7	13	to	to	ADP
fcis-26478	7	14	a	a	DET
fcis-26478	7	15	class	class	NOUN
fcis-26478	7	16	of	of	ADP
fcis-26478	7	17	optimization	optimization	NOUN
fcis-26478	7	18	problems	problem	NOUN
fcis-26478	7	19	that	that	PRON
fcis-26478	7	20	require	require	VERB
fcis-26478	7	21	the	the	DET
fcis-26478	7	22	simultaneous	simultaneous	ADJ
fcis-26478	7	23	consideration	consideration	NOUN
fcis-26478	7	24	of	of	ADP
fcis-26478	7	25	multiple	multiple	ADJ
fcis-26478	7	26	objective	objective	ADJ
fcis-26478	7	27	functions	function	NOUN
fcis-26478	7	28	that	that	PRON
fcis-26478	7	29	typically	typically	ADV
fcis-26478	7	30	conflict	conflict	VERB
fcis-26478	7	31	with	with	ADP
fcis-26478	7	32	each	each	DET
fcis-26478	7	33	other	other	ADJ
fcis-26478	7	34	[	[	X
fcis-26478	7	35	1,2	1,2	NUM
fcis-26478	7	36	]	]	PUNCT
fcis-26478	7	37	.	.	PUNCT
fcis-26478	8	1	when	when	SCONJ
fcis-26478	8	2	solving	solve	VERB
fcis-26478	8	3	such	such	ADJ
fcis-26478	8	4	problems	problem	NOUN
fcis-26478	8	5	,	,	PUNCT
fcis-26478	8	6	there	there	PRON
fcis-26478	8	7	is	be	VERB
fcis-26478	8	8	usually	usually	ADV
fcis-26478	8	9	no	no	DET
fcis-26478	8	10	solution	solution	NOUN
fcis-26478	8	11	that	that	PRON
fcis-26478	8	12	can	can	AUX
fcis-26478	8	13	optimize	optimize	VERB
fcis-26478	8	14	all	all	DET
fcis-26478	8	15	objectives	objective	NOUN
fcis-26478	8	16	simultaneously	simultaneously	ADV
fcis-26478	8	17	.	.	PUNCT
fcis-26478	9	1	decision	decision	NOUN
fcis-26478	9	2	makers	maker	NOUN
fcis-26478	9	3	need	need	VERB
fcis-26478	9	4	to	to	PART
fcis-26478	9	5	weigh	weigh	VERB
fcis-26478	9	6	these	these	DET
fcis-26478	9	7	objectives	objective	NOUN
fcis-26478	9	8	and	and	CCONJ
fcis-26478	9	9	find	find	VERB
fcis-26478	9	10	a	a	DET
fcis-26478	9	11	satisfactory	satisfactory	ADJ
fcis-26478	9	12	set	set	NOUN
fcis-26478	9	13	of	of	ADP
fcis-26478	9	14	solutions	solution	NOUN
fcis-26478	9	15	called	call	VERB
fcis-26478	9	16	the	the	DET
fcis-26478	9	17	pareto	pareto	ADJ
fcis-26478	9	18	optimal	optimal	ADJ
fcis-26478	9	19	solution	solution	NOUN
fcis-26478	9	20	sets	set	NOUN
fcis-26478	9	21	.	.	PUNCT
fcis-26478	10	1	as	as	ADP
fcis-26478	10	2	the	the	DET
fcis-26478	10	3	complexity	complexity	NOUN
fcis-26478	10	4	of	of	ADP
fcis-26478	10	5	the	the	DET
fcis-26478	10	6	problem	problem	NOUN
fcis-26478	10	7	increases	increase	VERB
fcis-26478	10	8	,	,	PUNCT
fcis-26478	10	9	a	a	DET
fcis-26478	10	10	single	single	ADJ
fcis-26478	10	11	pareto	pareto	ADJ
fcis-26478	10	12	optimal	optimal	ADJ
fcis-26478	10	13	solution	solution	NOUN
fcis-26478	10	14	set	set	NOUN
fcis-26478	10	15	may	may	AUX
fcis-26478	10	16	not	not	PART
fcis-26478	10	17	be	be	AUX
fcis-26478	10	18	able	able	ADJ
fcis-26478	10	19	to	to	PART
fcis-26478	10	20	meet	meet	VERB
fcis-26478	10	21	the	the	DET
fcis-26478	10	22	diverse	diverse	ADJ
fcis-26478	10	23	needs	need	NOUN
fcis-26478	10	24	of	of	ADP
fcis-26478	10	25	decision	decision	NOUN
fcis-26478	10	26	-	-	PUNCT
fcis-26478	10	27	makers	maker	NOUN
fcis-26478	10	28	,	,	PUNCT
fcis-26478	10	29	thus	thus	ADV
fcis-26478	10	30	leading	lead	VERB
fcis-26478	10	31	to	to	ADP
fcis-26478	10	32	the	the	DET
fcis-26478	10	33	emergence	emergence	NOUN
fcis-26478	10	34	of	of	ADP
fcis-26478	10	35	multimodal	multimodal	ADJ
fcis-26478	10	36	multi	multi	ADJ
fcis-26478	10	37	-	-	ADJ
fcis-26478	10	38	objective	objective	ADJ
fcis-26478	10	39	optimization	optimization	NOUN
fcis-26478	10	40	problems	problem	NOUN
fcis-26478	10	41	(	(	PUNCT
fcis-26478	10	42	mmops	mmop	NOUN
fcis-26478	10	43	)	)	PUNCT
fcis-26478	10	44	.	.	PUNCT
fcis-26478	11	1	mmops	mmop	NOUN
fcis-26478	11	2	have	have	VERB
fcis-26478	11	3	multiple	multiple	ADJ
fcis-26478	11	4	pareto	pareto	ADJ
fcis-26478	11	5	optimal	optimal	ADJ
fcis-26478	11	6	solution	solution	NOUN
fcis-26478	11	7	sets	set	NOUN
fcis-26478	11	8	in	in	ADP
fcis-26478	11	9	the	the	DET
fcis-26478	11	10	target	target	NOUN
fcis-26478	11	11	space	space	NOUN
fcis-26478	11	12	,	,	PUNCT
fcis-26478	11	13	which	which	PRON
fcis-26478	11	14	may	may	AUX
fcis-26478	11	15	be	be	AUX
fcis-26478	11	16	far	far	ADV
fcis-26478	11	17	apart	apart	ADV
fcis-26478	11	18	in	in	ADP
fcis-26478	11	19	the	the	DET
fcis-26478	11	20	decision	decision	NOUN
fcis-26478	11	21	space	space	NOUN
fcis-26478	11	22	,	,	PUNCT
fcis-26478	11	23	providing	provide	VERB
fcis-26478	11	24	decision	decision	NOUN
fcis-26478	11	25	-	-	PUNCT
fcis-26478	11	26	makers	maker	NOUN
fcis-26478	11	27	with	with	ADP
fcis-26478	11	28	more	more	ADJ
fcis-26478	11	29	choices	choice	NOUN
fcis-26478	11	30	[	[	X
fcis-26478	11	31	3	3	NUM
fcis-26478	11	32	]	]	PUNCT
fcis-26478	11	33	.	.	PUNCT
fcis-26478	12	1	this	this	DET
fcis-26478	12	2	type	type	NOUN
fcis-26478	12	3	of	of	ADP
fcis-26478	12	4	problem	problem	NOUN
fcis-26478	12	5	occurs	occur	VERB
fcis-26478	12	6	in	in	ADP
fcis-26478	12	7	many	many	ADJ
fcis-26478	12	8	fields	field	NOUN
fcis-26478	12	9	,	,	PUNCT
fcis-26478	12	10	such	such	ADJ
fcis-26478	12	11	as	as	ADP
fcis-26478	12	12	path	path	NOUN
fcis-26478	12	13	planning	planning	NOUN
fcis-26478	12	14	problem	problem	NOUN
fcis-26478	12	15	[	[	X
fcis-26478	12	16	4	4	NUM
fcis-26478	12	17	]	]	PUNCT
fcis-26478	12	18	,	,	PUNCT
fcis-26478	12	19	feature	feature	NOUN
fcis-26478	12	20	selection	selection	NOUN
fcis-26478	12	21	problem	problem	NOUN
fcis-26478	12	22	[	[	X
fcis-26478	12	23	5	5	NUM
fcis-26478	12	24	]	]	PUNCT
fcis-26478	12	25	,	,	PUNCT
fcis-26478	12	26	shop	shop	NOUN
fcis-26478	12	27	scheduling	scheduling	NOUN
fcis-26478	12	28	[	[	X
fcis-26478	12	29	6	6	NUM
fcis-26478	12	30	]	]	PUNCT
fcis-26478	12	31	,	,	PUNCT
fcis-26478	12	32	etc	etc	X
fcis-26478	12	33	.	.	X
fcis-26478	13	1	the	the	DET
fcis-26478	13	2	research	research	NOUN
fcis-26478	13	3	on	on	ADP
fcis-26478	13	4	multimodal	multimodal	ADJ
fcis-26478	13	5	multi	multi	ADJ
fcis-26478	13	6	-	-	ADJ
fcis-26478	13	7	objective	objective	ADJ
fcis-26478	13	8	optimization	optimization	NOUN
fcis-26478	13	9	algorithms	algorithm	NOUN
fcis-26478	13	10	aims	aim	VERB
fcis-26478	13	11	to	to	PART
fcis-26478	13	12	find	find	VERB
fcis-26478	13	13	as	as	ADP
fcis-26478	13	14	many	many	ADJ
fcis-26478	13	15	pareto	pareto	ADJ
fcis-26478	13	16	optimal	optimal	ADJ
fcis-26478	13	17	solutions	solution	NOUN
fcis-26478	13	18	as	as	ADP
fcis-26478	13	19	possible	possible	ADJ
fcis-26478	13	20	to	to	PART
fcis-26478	13	21	provide	provide	VERB
fcis-26478	13	22	decision	decision	NOUN
fcis-26478	13	23	-	-	PUNCT
fcis-26478	13	24	makers	maker	NOUN
fcis-26478	13	25	with	with	ADP
fcis-26478	13	26	more	more	ADJ
fcis-26478	13	27	choices	choice	NOUN
fcis-26478	13	28	.	.	PUNCT
fcis-26478	14	1	this	this	DET
fcis-26478	14	2	type	type	NOUN
fcis-26478	14	3	of	of	ADP
fcis-26478	14	4	algorithm	algorithm	NOUN
fcis-26478	14	5	needs	need	VERB
fcis-26478	14	6	to	to	PART
fcis-26478	14	7	balance	balance	VERB
fcis-26478	14	8	the	the	DET
fcis-26478	14	9	diversity	diversity	NOUN
fcis-26478	14	10	and	and	CCONJ
fcis-26478	14	11	convergence	convergence	NOUN
fcis-26478	14	12	of	of	ADP
fcis-26478	14	13	solutions	solution	NOUN
fcis-26478	14	14	,	,	PUNCT
fcis-26478	14	15	while	while	SCONJ
fcis-26478	14	16	considering	consider	VERB
fcis-26478	14	17	the	the	DET
fcis-26478	14	18	characteristics	characteristic	NOUN
fcis-26478	14	19	of	of	ADP
fcis-26478	14	20	the	the	DET
fcis-26478	14	21	decision	decision	NOUN
fcis-26478	14	22	space	space	NOUN
fcis-26478	14	23	and	and	CCONJ
fcis-26478	14	24	the	the	DET
fcis-26478	14	25	objective	objective	ADJ
fcis-26478	14	26	space	space	NOUN
fcis-26478	14	27	.	.	PUNCT
fcis-26478	15	1	this	this	DET
fcis-26478	15	2	article	article	NOUN
fcis-26478	15	3	will	will	AUX
fcis-26478	15	4	provide	provide	VERB
fcis-26478	15	5	a	a	DET
fcis-26478	15	6	detailed	detailed	ADJ
fcis-26478	15	7	introduction	introduction	NOUN
fcis-26478	15	8	to	to	ADP
fcis-26478	15	9	the	the	DET
fcis-26478	15	10	relevant	relevant	ADJ
fcis-26478	15	11	concepts	concept	NOUN
fcis-26478	15	12	,	,	PUNCT
fcis-26478	15	13	research	research	NOUN
fcis-26478	15	14	progress	progress	NOUN
fcis-26478	15	15	,	,	PUNCT
fcis-26478	15	16	testing	testing	NOUN
fcis-26478	15	17	functions	function	NOUN
fcis-26478	15	18	,	,	PUNCT
fcis-26478	15	19	and	and	CCONJ
fcis-26478	15	20	evaluation	evaluation	NOUN
fcis-26478	15	21	indicators	indicator	NOUN
fcis-26478	15	22	of	of	ADP
fcis-26478	15	23	multimodal	multimodal	ADJ
fcis-26478	15	24	multi	multi	ADJ
fcis-26478	15	25	-	-	ADJ
fcis-26478	15	26	objective	objective	ADJ
fcis-26478	15	27	optimization	optimization	NOUN
fcis-26478	15	28	algorithms	algorithm	NOUN
fcis-26478	15	29	.	.	PUNCT
fcis-26478	16	1	2	2	X
fcis-26478	16	2	.	.	X
fcis-26478	16	3	related	relate	VERB
fcis-26478	16	4	work	work	NOUN
fcis-26478	16	5	the	the	DET
fcis-26478	16	6	difficulty	difficulty	NOUN
fcis-26478	16	7	in	in	ADP
fcis-26478	16	8	solving	solve	VERB
fcis-26478	16	9	multi	multi	ADJ
fcis-26478	16	10	-	-	ADJ
fcis-26478	16	11	objective	objective	ADJ
fcis-26478	16	12	optimization	optimization	NOUN
fcis-26478	16	13	problems	problem	NOUN
fcis-26478	16	14	is	be	AUX
fcis-26478	16	15	to	to	PART
fcis-26478	16	16	find	find	VERB
fcis-26478	16	17	a	a	DET
fcis-26478	16	18	compromise	compromise	NOUN
fcis-26478	16	19	solution	solution	NOUN
fcis-26478	16	20	that	that	PRON
fcis-26478	16	21	maximizes	maximize	VERB
fcis-26478	16	22	all	all	DET
fcis-26478	16	23	objectives	objective	NOUN
fcis-26478	16	24	under	under	ADP
fcis-26478	16	25	certain	certain	ADJ
fcis-26478	16	26	constraints	constraint	NOUN
fcis-26478	16	27	.	.	PUNCT
fcis-26478	17	1	taking	take	VERB
fcis-26478	17	2	minimizing	minimize	VERB
fcis-26478	17	3	the	the	DET
fcis-26478	17	4	optimization	optimization	NOUN
fcis-26478	17	5	objective	objective	NOUN
fcis-26478	17	6	as	as	ADP
fcis-26478	17	7	an	an	DET
fcis-26478	17	8	example	example	NOUN
fcis-26478	17	9	,	,	PUNCT
fcis-26478	17	10	a	a	DET
fcis-26478	17	11	multi	multi	ADJ
fcis-26478	17	12	-	-	ADJ
fcis-26478	17	13	objective	objective	ADJ
fcis-26478	17	14	optimization	optimization	NOUN
fcis-26478	17	15	problem	problem	NOUN
fcis-26478	17	16	with	with	ADP
fcis-26478	17	17	dimensional	dimensional	ADJ
fcis-26478	17	18	decision	decision	NOUN
fcis-26478	17	19	variables	variable	NOUN
fcis-26478	17	20	and	and	CCONJ
fcis-26478	17	21	objective	objective	ADJ
fcis-26478	17	22	variables	variable	NOUN
fcis-26478	17	23	can	can	AUX
fcis-26478	17	24	be	be	AUX
fcis-26478	17	25	defined	define	VERB
fcis-26478	17	26	as	as	ADP
fcis-26478	17	27	:	:	PUNCT
fcis-26478	17	28	minimize	minimize	VERB
fcis-26478	17	29	f	f	PROPN
fcis-26478	17	30	,	,	PUNCT
fcis-26478	17	31	⋯	⋯	PROPN
fcis-26478	17	32	,	,	PUNCT
fcis-26478	17	33	t	t	PROPN
fcis-26478	17	34	subject	subject	NOUN
fcis-26478	17	35	to	to	ADP
fcis-26478	17	36	∈	∈	PROPN
fcis-26478	17	37	ω	ω	X
fcis-26478	17	38	(	(	PUNCT
fcis-26478	17	39	1	1	NUM
fcis-26478	17	40	)	)	PUNCT
fcis-26478	17	41	where	where	SCONJ
fcis-26478	17	42	ω	ω	PROPN
fcis-26478	17	43	⊂	⊂	PROPN
fcis-26478	17	44	r	r	NOUN
fcis-26478	17	45	represents	represent	VERB
fcis-26478	17	46	decision	decision	NOUN
fcis-26478	17	47	space	space	NOUN
fcis-26478	17	48	;	;	PUNCT
fcis-26478	17	49	,	,	PUNCT
fcis-26478	17	50	,	,	PUNCT
fcis-26478	17	51	.	.	PUNCT
fcis-26478	17	52	.	.	PUNCT
fcis-26478	18	1	.	.	PUNCT
fcis-26478	19	1	,	,	PUNCT
fcis-26478	19	2	is	be	AUX
fcis-26478	19	3	a	a	DET
fcis-26478	19	4	decision	decision	NOUN
fcis-26478	19	5	vector	vector	NOUN
fcis-26478	19	6	;	;	PUNCT
fcis-26478	19	7	r	r	NOUN
fcis-26478	19	8	representing	represent	VERB
fcis-26478	19	9	the	the	DET
fcis-26478	19	10	target	target	NOUN
fcis-26478	19	11	space	space	NOUN
fcis-26478	19	12	,	,	PUNCT
fcis-26478	19	13	f	f	PROPN
fcis-26478	19	14	is	be	AUX
fcis-26478	19	15	the	the	DET
fcis-26478	19	16	objective	objective	ADJ
fcis-26478	19	17	function	function	NOUN
fcis-26478	19	18	that	that	PRON
fcis-26478	19	19	maps	map	VERB
fcis-26478	19	20	the	the	DET
fcis-26478	19	21	mdimensional	mdimensional	ADJ
fcis-26478	19	22	decision	decision	NOUN
fcis-26478	19	23	space	space	NOUN
fcis-26478	19	24	to	to	ADP
fcis-26478	19	25	the	the	DET
fcis-26478	19	26	target	target	NOUN
fcis-26478	19	27	space	space	NOUN
fcis-26478	19	28	.	.	PUNCT
fcis-26478	20	1	for	for	ADP
fcis-26478	20	2	a	a	DET
fcis-26478	20	3	multi	multi	ADJ
fcis-26478	20	4	-	-	ADJ
fcis-26478	20	5	objective	objective	ADJ
fcis-26478	20	6	optimization	optimization	NOUN
fcis-26478	20	7	problem	problem	NOUN
fcis-26478	20	8	(	(	PUNCT
fcis-26478	20	9	mop	mop	PROPN
fcis-26478	20	10	)	)	PUNCT
fcis-26478	20	11	,	,	PUNCT
fcis-26478	20	12	if	if	SCONJ
fcis-26478	20	13	there	there	PRON
fcis-26478	20	14	exists	exist	VERB
fcis-26478	20	15	a	a	DET
fcis-26478	20	16	pareto	pareto	ADJ
fcis-26478	20	17	optimal	optimal	ADJ
fcis-26478	20	18	solution	solution	NOUN
fcis-26478	20	19	x	x	PUNCT
fcis-26478	20	20	and	and	CCONJ
fcis-26478	20	21	another	another	DET
fcis-26478	20	22	solution	solution	NOUN
fcis-26478	20	23	y	y	PROPN
fcis-26478	20	24	in	in	ADP
fcis-26478	20	25	the	the	DET
fcis-26478	20	26	decision	decision	NOUN
fcis-26478	20	27	space	space	NOUN
fcis-26478	20	28	,	,	PUNCT
fcis-26478	20	29	such	such	ADJ
fcis-26478	20	30	that	that	SCONJ
fcis-26478	20	31	x	x	PROPN
fcis-26478	20	32	and	and	CCONJ
fcis-26478	20	33	y	y	PROPN
fcis-26478	20	34	differ	differ	VERB
fcis-26478	20	35	very	very	ADV
fcis-26478	20	36	little	little	ADJ
fcis-26478	20	37	in	in	ADP
fcis-26478	20	38	the	the	DET
fcis-26478	20	39	objective	objective	ADJ
fcis-26478	20	40	function	function	NOUN
fcis-26478	20	41	values	value	NOUN
fcis-26478	20	42	(	(	PUNCT
fcis-26478	20	43			PROPN
fcis-26478	20	44	||)()(||	||)()(||	NOUN
fcis-26478	20	45	yfxf	yfxf	PROPN
fcis-26478	20	46	,	,	PUNCT
fcis-26478	20	47	where	where	SCONJ
fcis-26478	20	48			PROPN
fcis-26478	20	49	is	be	AUX
fcis-26478	20	50	a	a	DET
fcis-26478	20	51	very	very	ADV
fcis-26478	20	52	small	small	ADJ
fcis-26478	20	53	non	non	ADJ
fcis-26478	20	54	negative	negative	ADJ
fcis-26478	20	55	threshold	threshold	NOUN
fcis-26478	20	56	given	give	VERB
fcis-26478	20	57	by	by	ADP
fcis-26478	20	58	the	the	DET
fcis-26478	20	59	decision	decision	NOUN
fcis-26478	20	60	maker	maker	NOUN
fcis-26478	20	61	)	)	PUNCT
fcis-26478	20	62	,	,	PUNCT
fcis-26478	20	63	the	the	DET
fcis-26478	20	64	problem	problem	NOUN
fcis-26478	20	65	is	be	AUX
fcis-26478	20	66	called	call	VERB
fcis-26478	20	67	a	a	DET
fcis-26478	20	68	multimodal	multimodal	ADJ
fcis-26478	20	69	multi	multi	ADJ
fcis-26478	20	70	-	-	ADJ
fcis-26478	20	71	objective	objective	ADJ
fcis-26478	20	72	optimization	optimization	NOUN
fcis-26478	20	73	problem	problem	NOUN
fcis-26478	20	74	[	[	X
fcis-26478	20	75	7	7	NUM
fcis-26478	20	76	]	]	PUNCT
fcis-26478	20	77	.	.	PUNCT
fcis-26478	21	1	the	the	DET
fcis-26478	21	2	difficulty	difficulty	NOUN
fcis-26478	21	3	of	of	ADP
fcis-26478	21	4	solving	solve	VERB
fcis-26478	21	5	multimodal	multimodal	ADJ
fcis-26478	21	6	multi	multi	ADJ
fcis-26478	21	7	-	-	ADJ
fcis-26478	21	8	objective	objective	ADJ
fcis-26478	21	9	optimization	optimization	NOUN
fcis-26478	21	10	problems	problem	NOUN
fcis-26478	21	11	lies	lie	VERB
fcis-26478	21	12	in	in	ADP
fcis-26478	21	13	improving	improve	VERB
fcis-26478	21	14	the	the	DET
fcis-26478	21	15	global	global	ADJ
fcis-26478	21	16	search	search	NOUN
fcis-26478	21	17	capability	capability	NOUN
fcis-26478	21	18	of	of	ADP
fcis-26478	21	19	the	the	DET
fcis-26478	21	20	algorithm	algorithm	NOUN
fcis-26478	21	21	,	,	PUNCT
fcis-26478	21	22	avoiding	avoid	VERB
fcis-26478	21	23	premature	premature	ADJ
fcis-26478	21	24	convergence	convergence	NOUN
fcis-26478	21	25	to	to	ADP
fcis-26478	21	26	a	a	DET
fcis-26478	21	27	local	local	ADJ
fcis-26478	21	28	optimal	optimal	ADJ
fcis-26478	21	29	solution	solution	NOUN
fcis-26478	21	30	set	set	VERB
fcis-26478	21	31	,	,	PUNCT
fcis-26478	21	32	while	while	SCONJ
fcis-26478	21	33	preserving	preserve	VERB
fcis-26478	21	34	the	the	DET
fcis-26478	21	35	solution	solution	NOUN
fcis-26478	21	36	sets	set	NOUN
fcis-26478	21	37	of	of	ADP
fcis-26478	21	38	different	different	ADJ
fcis-26478	21	39	decision	decision	NOUN
fcis-26478	21	40	spaces	space	NOUN
fcis-26478	21	41	corresponding	correspond	VERB
fcis-26478	21	42	to	to	ADP
fcis-26478	21	43	the	the	DET
fcis-26478	21	44	same	same	ADJ
fcis-26478	21	45	pareto	pareto	ADJ
fcis-26478	21	46	front	front	NOUN
fcis-26478	21	47	,	,	PUNCT
fcis-26478	21	48	ensuring	ensure	VERB
fcis-26478	21	49	the	the	DET
fcis-26478	21	50	diversity	diversity	NOUN
fcis-26478	21	51	of	of	ADP
fcis-26478	21	52	solutions	solution	NOUN
fcis-26478	21	53	.	.	PUNCT
fcis-26478	22	1	in	in	ADP
fcis-26478	22	2	order	order	NOUN
fcis-26478	22	3	to	to	PART
fcis-26478	22	4	visually	visually	ADV
fcis-26478	22	5	demonstrate	demonstrate	VERB
fcis-26478	22	6	the	the	DET
fcis-26478	22	7	characteristics	characteristic	NOUN
fcis-26478	22	8	of	of	ADP
fcis-26478	22	9	multimodal	multimodal	ADJ
fcis-26478	22	10	multi	multi	ADJ
fcis-26478	22	11	-	-	ADJ
fcis-26478	22	12	objective	objective	ADJ
fcis-26478	22	13	optimization	optimization	NOUN
fcis-26478	22	14	problems	problem	NOUN
fcis-26478	22	15	,	,	PUNCT
fcis-26478	22	16	figure	figure	NOUN
fcis-26478	22	17	1	1	NUM
fcis-26478	22	18	provides	provide	VERB
fcis-26478	22	19	a	a	DET
fcis-26478	22	20	schematic	schematic	ADJ
fcis-26478	22	21	diagram	diagram	NOUN
fcis-26478	22	22	of	of	ADP
fcis-26478	22	23	the	the	DET
fcis-26478	22	24	multimodal	multimodal	ADJ
fcis-26478	22	25	multiobjective	multiobjective	ADJ
fcis-26478	22	26	optimization	optimization	NOUN
fcis-26478	22	27	problem	problem	NOUN
fcis-26478	22	28	.	.	PUNCT
fcis-26478	23	1	the	the	DET
fcis-26478	23	2	points	point	NOUN
fcis-26478	23	3	a1	a1	NOUN
fcis-26478	23	4	and	and	CCONJ
fcis-26478	23	5	a2	a2	PROPN
fcis-26478	23	6	in	in	ADP
fcis-26478	23	7	the	the	DET
fcis-26478	23	8	decision	decision	NOUN
fcis-26478	23	9	space	space	NOUN
fcis-26478	23	10	on	on	ADP
fcis-26478	23	11	the	the	DET
fcis-26478	23	12	left	left	ADJ
fcis-26478	23	13	side	side	NOUN
fcis-26478	23	14	of	of	ADP
fcis-26478	23	15	the	the	DET
fcis-26478	23	16	figure	figure	NOUN
fcis-26478	23	17	represent	represent	VERB
fcis-26478	23	18	the	the	DET
fcis-26478	23	19	optimal	optimal	ADJ
fcis-26478	23	20	solutions	solution	NOUN
fcis-26478	23	21	in	in	ADP
fcis-26478	23	22	two	two	NUM
fcis-26478	23	23	solution	solution	NOUN
fcis-26478	23	24	sets	set	NOUN
fcis-26478	23	25	,	,	PUNCT
fcis-26478	23	26	both	both	PRON
fcis-26478	23	27	of	of	ADP
fcis-26478	23	28	which	which	PRON
fcis-26478	23	29	map	map	NOUN
fcis-26478	23	30	to	to	PART
fcis-26478	23	31	point	point	VERB
fcis-26478	23	32	a	a	PRON
fcis-26478	23	33	'	'	PUNCT
fcis-26478	23	34	in	in	ADP
fcis-26478	23	35	the	the	DET
fcis-26478	23	36	target	target	NOUN
fcis-26478	23	37	space	space	NOUN
fcis-26478	23	38	on	on	ADP
fcis-26478	23	39	the	the	DET
fcis-26478	23	40	right	right	ADJ
fcis-26478	23	41	side	side	NOUN
fcis-26478	23	42	although	although	SCONJ
fcis-26478	23	43	a1	a1	NOUN
fcis-26478	23	44	and	and	CCONJ
fcis-26478	23	45	a2	a2	PROPN
fcis-26478	23	46	are	be	AUX
fcis-26478	23	47	relatively	relatively	ADV
fcis-26478	23	48	far	far	ADV
fcis-26478	23	49	apart	apart	ADV
fcis-26478	23	50	in	in	ADP
fcis-26478	23	51	the	the	DET
fcis-26478	23	52	decision	decision	NOUN
fcis-26478	23	53	space	space	NOUN
fcis-26478	23	54	,	,	PUNCT
fcis-26478	23	55	their	their	PRON
fcis-26478	23	56	distance	distance	NOUN
fcis-26478	23	57	in	in	ADP
fcis-26478	23	58	the	the	DET
fcis-26478	23	59	target	target	NOUN
fcis-26478	23	60	space	space	NOUN
fcis-26478	23	61	is	be	AUX
fcis-26478	23	62	zero	zero	NUM
fcis-26478	23	63	,	,	PUNCT
fcis-26478	23	64	allowing	allow	VERB
fcis-26478	23	65	decision	decision	NOUN
fcis-26478	23	66	-	-	PUNCT
fcis-26478	23	67	makers	maker	NOUN
fcis-26478	23	68	to	to	PART
fcis-26478	23	69	make	make	VERB
fcis-26478	23	70	different	different	ADJ
fcis-26478	23	71	choices	choice	NOUN
fcis-26478	23	72	based	base	VERB
fcis-26478	23	73	on	on	ADP
fcis-26478	23	74	their	their	PRON
fcis-26478	23	75	own	own	ADJ
fcis-26478	23	76	needs	need	NOUN
fcis-26478	23	77	.	.	PUNCT
fcis-26478	24	1	3	3	X
fcis-26478	24	2	.	.	X
fcis-26478	24	3	research	research	NOUN
fcis-26478	24	4	progress	progress	VERB
fcis-26478	24	5	the	the	DET
fcis-26478	24	6	key	key	ADJ
fcis-26478	24	7	challenge	challenge	NOUN
fcis-26478	24	8	of	of	ADP
fcis-26478	24	9	multimodal	multimodal	ADJ
fcis-26478	24	10	multi	multi	ADJ
fcis-26478	24	11	-	-	ADJ
fcis-26478	24	12	objective	objective	ADJ
fcis-26478	24	13	optimization	optimization	NOUN
fcis-26478	24	14	problems	problem	NOUN
fcis-26478	24	15	is	be	AUX
fcis-26478	24	16	how	how	SCONJ
fcis-26478	24	17	to	to	PART
fcis-26478	24	18	balance	balance	VERB
fcis-26478	24	19	the	the	DET
fcis-26478	24	20	distribution	distribution	NOUN
fcis-26478	24	21	of	of	ADP
fcis-26478	24	22	solutions	solution	NOUN
fcis-26478	24	23	in	in	ADP
fcis-26478	24	24	the	the	DET
fcis-26478	24	25	decision	decision	NOUN
fcis-26478	24	26	space	space	NOUN
fcis-26478	24	27	and	and	CCONJ
fcis-26478	24	28	the	the	DET
fcis-26478	24	29	objective	objective	ADJ
fcis-26478	24	30	space	space	NOUN
fcis-26478	24	31	.	.	PUNCT
fcis-26478	25	1	traditional	traditional	ADJ
fcis-26478	25	2	multi	multi	ADJ
fcis-26478	25	3	-	-	ADJ
fcis-26478	25	4	objective	objective	ADJ
fcis-26478	25	5	evolutionary	evolutionary	ADJ
fcis-26478	25	6	algorithms	algorithm	NOUN
fcis-26478	25	7	typically	typically	ADV
fcis-26478	25	8	adopt	adopt	VERB
fcis-26478	25	9	a	a	DET
fcis-26478	25	10	strategy	strategy	NOUN
fcis-26478	25	11	of	of	ADP
fcis-26478	25	12	"	"	PUNCT
fcis-26478	25	13	convergence	convergence	NOUN
fcis-26478	25	14	before	before	ADP
fcis-26478	25	15	diversity	diversity	NOUN
fcis-26478	25	16	"	"	PUNCT
fcis-26478	25	17	,	,	PUNCT
fcis-26478	25	18	which	which	PRON
fcis-26478	25	19	may	may	AUX
fcis-26478	25	20	weaken	weaken	VERB
fcis-26478	25	21	the	the	DET
fcis-26478	25	22	algorithm	algorithm	NOUN
fcis-26478	25	23	's	's	PART
fcis-26478	25	24	exploration	exploration	NOUN
fcis-26478	25	25	ability	ability	NOUN
fcis-26478	25	26	in	in	ADP
fcis-26478	25	27	the	the	DET
fcis-26478	25	28	decision	decision	NOUN
fcis-26478	25	29	space	space	NOUN
fcis-26478	25	30	and	and	CCONJ
fcis-26478	25	31	make	make	VERB
fcis-26478	25	32	it	it	PRON
fcis-26478	25	33	difficult	difficult	ADJ
fcis-26478	25	34	to	to	PART
fcis-26478	25	35	discover	discover	VERB
fcis-26478	25	36	all	all	DET
fcis-26478	25	37	pareto	pareto	ADJ
fcis-26478	25	38	optimal	optimal	ADJ
fcis-26478	25	39	solution	solution	NOUN
fcis-26478	25	40	sets	set	NOUN
fcis-26478	25	41	.	.	PUNCT
fcis-26478	26	1	to	to	PART
fcis-26478	26	2	address	address	VERB
fcis-26478	26	3	this	this	DET
fcis-26478	26	4	issue	issue	NOUN
fcis-26478	26	5	,	,	PUNCT
fcis-26478	26	6	researchers	researcher	NOUN
fcis-26478	26	7	have	have	AUX
fcis-26478	26	8	proposed	propose	VERB
fcis-26478	26	9	various	various	ADJ
fcis-26478	26	10	multimodal	multimodal	ADJ
fcis-26478	26	11	multi	multi	ADJ
fcis-26478	26	12	-	-	ADJ
fcis-26478	26	13	objective	objective	ADJ
fcis-26478	26	14	evolutionary	evolutionary	ADJ
fcis-26478	26	15	algorithms	algorithm	NOUN
fcis-26478	26	16	(	(	PUNCT
fcis-26478	26	17	mmoeas	mmoeas	PROPN
fcis-26478	26	18	)	)	PUNCT
fcis-26478	26	19	that	that	PRON
fcis-26478	26	20	improve	improve	VERB
fcis-26478	26	21	their	their	PRON
fcis-26478	26	22	coverage	coverage	NOUN
fcis-26478	26	23	in	in	ADP
fcis-26478	26	24	the	the	DET
fcis-26478	26	25	decision	decision	NOUN
fcis-26478	26	26	space	space	NOUN
fcis-26478	26	27	through	through	ADP
fcis-26478	26	28	different	different	ADJ
fcis-26478	26	29	diversity	diversity	NOUN
fcis-26478	26	30	maintenance	maintenance	NOUN
fcis-26478	26	31	techniques	technique	NOUN
fcis-26478	26	32	.	.	PUNCT
fcis-26478	27	1	according	accord	VERB
fcis-26478	27	2	to	to	ADP
fcis-26478	27	3	its	its	PRON
fcis-26478	27	4	algorithmic	algorithmic	ADJ
fcis-26478	27	5	features	feature	NOUN
fcis-26478	27	6	,	,	PUNCT
fcis-26478	27	7	it	it	PRON
fcis-26478	27	8	can	can	AUX
fcis-26478	27	9	be	be	AUX
fcis-26478	27	10	roughly	roughly	ADV
fcis-26478	27	11	divided	divide	VERB
fcis-26478	27	12	into	into	ADP
fcis-26478	27	13	three	three	NUM
fcis-26478	27	14	categories	category	NOUN
fcis-26478	27	15	:	:	PUNCT
fcis-26478	27	16	pareto	pareto	ADJ
fcis-26478	27	17	dominance	dominance	NOUN
fcis-26478	27	18	based	base	VERB
fcis-26478	27	19	,	,	PUNCT
fcis-26478	27	20	objective	objective	ADJ
fcis-26478	27	21	decomposition	decomposition	NOUN
fcis-26478	27	22	based	base	VERB
fcis-26478	27	23	,	,	PUNCT
fcis-26478	27	24	and	and	CCONJ
fcis-26478	27	25	new	new	ADJ
fcis-26478	27	26	evolutionary	evolutionary	ADJ
fcis-26478	27	27	55	55	NUM
fcis-26478	27	28	paradigms	paradigm	NOUN
fcis-26478	27	29	based	base	VERB
fcis-26478	27	30	.	.	PUNCT
fcis-26478	28	1	fig	fig	PROPN
fcis-26478	28	2	1	1	NUM
fcis-26478	28	3	.	.	PUNCT
fcis-26478	28	4	multimodal	multimodal	NOUN
fcis-26478	28	5	and	and	CCONJ
fcis-26478	28	6	multi	multi	ADJ
fcis-26478	28	7	-	-	ADJ
fcis-26478	28	8	objective	objective	ADJ
fcis-26478	28	9	problem	problem	NOUN
fcis-26478	28	10	description	description	NOUN
fcis-26478	28	11	3.1	3.1	NUM
fcis-26478	28	12	.	.	PUNCT
fcis-26478	28	13	pareto	pareto	ADJ
fcis-26478	28	14	dominance	dominance	NOUN
fcis-26478	28	15	based	base	VERB
fcis-26478	28	16	mmoeas	mmoea	NOUN
fcis-26478	28	17	this	this	DET
fcis-26478	28	18	type	type	NOUN
fcis-26478	28	19	of	of	ADP
fcis-26478	28	20	algorithm	algorithm	NOUN
fcis-26478	28	21	uses	use	VERB
fcis-26478	28	22	pareto	pareto	ADJ
fcis-26478	28	23	dominance	dominance	NOUN
fcis-26478	28	24	to	to	PART
fcis-26478	28	25	sort	sort	VERB
fcis-26478	28	26	individuals	individual	NOUN
fcis-26478	28	27	in	in	ADP
fcis-26478	28	28	a	a	DET
fcis-26478	28	29	population	population	NOUN
fcis-26478	28	30	,	,	PUNCT
fcis-26478	28	31	removing	remove	VERB
fcis-26478	28	32	dominant	dominant	ADJ
fcis-26478	28	33	solutions	solution	NOUN
fcis-26478	28	34	,	,	PUNCT
fcis-26478	28	35	and	and	CCONJ
fcis-26478	28	36	then	then	ADV
fcis-26478	28	37	using	use	VERB
fcis-26478	28	38	environmental	environmental	ADJ
fcis-26478	28	39	selection	selection	NOUN
fcis-26478	28	40	mechanisms	mechanism	NOUN
fcis-26478	28	41	to	to	PART
fcis-26478	28	42	select	select	VERB
fcis-26478	28	43	non	non	ADJ
fcis-26478	28	44	dominant	dominant	ADJ
fcis-26478	28	45	solutions	solution	NOUN
fcis-26478	28	46	,	,	PUNCT
fcis-26478	28	47	in	in	ADP
fcis-26478	28	48	order	order	NOUN
fcis-26478	28	49	to	to	PART
fcis-26478	28	50	select	select	VERB
fcis-26478	28	51	a	a	DET
fcis-26478	28	52	set	set	NOUN
fcis-26478	28	53	of	of	ADP
fcis-26478	28	54	solutions	solution	NOUN
fcis-26478	28	55	with	with	ADP
fcis-26478	28	56	good	good	ADJ
fcis-26478	28	57	convergence	convergence	NOUN
fcis-26478	28	58	and	and	CCONJ
fcis-26478	28	59	diversity	diversity	NOUN
fcis-26478	28	60	from	from	ADP
fcis-26478	28	61	the	the	DET
fcis-26478	28	62	remaining	remain	VERB
fcis-26478	28	63	solutions	solution	NOUN
fcis-26478	28	64	.	.	PUNCT
fcis-26478	29	1	representative	representative	ADJ
fcis-26478	29	2	algorithms	algorithm	NOUN
fcis-26478	29	3	are	be	AUX
fcis-26478	29	4	described	describe	VERB
fcis-26478	29	5	below	below	ADP
fcis-26478	29	6	.	.	PUNCT
fcis-26478	30	1	in	in	ADP
fcis-26478	30	2	[	[	X
fcis-26478	30	3	8	8	NUM
fcis-26478	30	4	]	]	PUNCT
fcis-26478	30	5	,	,	PUNCT
fcis-26478	30	6	the	the	DET
fcis-26478	30	7	omni	omni	ADJ
fcis-26478	30	8	-	-	PUNCT
fcis-26478	30	9	optimizer	optimizer	NOUN
fcis-26478	30	10	proposed	propose	VERB
fcis-26478	30	11	by	by	ADP
fcis-26478	30	12	deb	deb	PROPN
fcis-26478	30	13	is	be	AUX
fcis-26478	30	14	a	a	DET
fcis-26478	30	15	general	general	ADJ
fcis-26478	30	16	optimizer	optimizer	NOUN
fcis-26478	30	17	based	base	VERB
fcis-26478	30	18	on	on	ADP
fcis-26478	30	19	nsga	nsga	PROPN
fcis-26478	30	20	-	-	PUNCT
fcis-26478	30	21	ii	ii	NOUN
fcis-26478	30	22	,	,	PUNCT
fcis-26478	30	23	which	which	PRON
fcis-26478	30	24	uses	use	VERB
fcis-26478	30	25	latin	latin	ADJ
fcis-26478	30	26	hypercube	hypercube	NOUN
fcis-26478	30	27	sampling	sample	VERB
fcis-26478	30	28	to	to	PART
fcis-26478	30	29	initialize	initialize	VERB
fcis-26478	30	30	the	the	DET
fcis-26478	30	31	population	population	NOUN
fcis-26478	30	32	and	and	CCONJ
fcis-26478	30	33	introduces	introduce	VERB
fcis-26478	30	34	a	a	DET
fcis-26478	30	35	method	method	NOUN
fcis-26478	30	36	of	of	ADP
fcis-26478	30	37	crowding	crowd	VERB
fcis-26478	30	38	distance	distance	NOUN
fcis-26478	30	39	combined	combine	VERB
fcis-26478	30	40	with	with	ADP
fcis-26478	30	41	non	non	ADJ
fcis-26478	30	42	-	-	ADJ
fcis-26478	30	43	dominated	dominated	ADJ
fcis-26478	30	44	sorting	sorting	NOUN
fcis-26478	30	45	in	in	ADP
fcis-26478	30	46	the	the	DET
fcis-26478	30	47	decision	decision	NOUN
fcis-26478	30	48	space	space	NOUN
fcis-26478	30	49	to	to	PART
fcis-26478	30	50	select	select	VERB
fcis-26478	30	51	better	well	ADJ
fcis-26478	30	52	individuals	individual	NOUN
fcis-26478	30	53	as	as	ADP
fcis-26478	30	54	the	the	DET
fcis-26478	30	55	next	next	ADJ
fcis-26478	30	56	generation	generation	NOUN
fcis-26478	30	57	evolutionary	evolutionary	ADJ
fcis-26478	30	58	population	population	NOUN
fcis-26478	30	59	.	.	PUNCT
fcis-26478	31	1	dn	dn	NOUN
fcis-26478	31	2	-	-	PUNCT
fcis-26478	31	3	nsgaii	nsgaii	PRON
fcis-26478	31	4	[	[	X
fcis-26478	31	5	9	9	NUM
fcis-26478	31	6	]	]	PUNCT
fcis-26478	31	7	first	first	ADV
fcis-26478	31	8	uses	use	VERB
fcis-26478	31	9	fast	fast	ADJ
fcis-26478	31	10	non	non	ADJ
fcis-26478	31	11	-	-	ADJ
fcis-26478	31	12	dominated	dominated	ADJ
fcis-26478	31	13	sorting	sorting	NOUN
fcis-26478	31	14	to	to	PART
fcis-26478	31	15	divide	divide	VERB
fcis-26478	31	16	the	the	DET
fcis-26478	31	17	solution	solution	NOUN
fcis-26478	31	18	into	into	ADP
fcis-26478	31	19	several	several	ADJ
fcis-26478	31	20	layers	layer	NOUN
fcis-26478	31	21	,	,	PUNCT
fcis-26478	31	22	and	and	CCONJ
fcis-26478	31	23	then	then	ADV
fcis-26478	31	24	improves	improve	VERB
fcis-26478	31	25	the	the	DET
fcis-26478	31	26	two	two	NUM
fcis-26478	31	27	-	-	PUNCT
fcis-26478	31	28	choice	choice	NOUN
fcis-26478	31	29	competition	competition	NOUN
fcis-26478	31	30	method	method	NOUN
fcis-26478	31	31	by	by	ADP
fcis-26478	31	32	adopting	adopt	VERB
fcis-26478	31	33	the	the	DET
fcis-26478	31	34	decision	decision	NOUN
fcis-26478	31	35	space	space	NOUN
fcis-26478	31	36	niche	niche	NOUN
fcis-26478	31	37	method	method	NOUN
fcis-26478	31	38	.	.	PUNCT
fcis-26478	32	1	it	it	PRON
fcis-26478	32	2	increases	increase	VERB
fcis-26478	32	3	the	the	DET
fcis-26478	32	4	probability	probability	NOUN
fcis-26478	32	5	of	of	ADP
fcis-26478	32	6	solutions	solution	NOUN
fcis-26478	32	7	with	with	ADP
fcis-26478	32	8	longer	long	ADJ
fcis-26478	32	9	decision	decision	NOUN
fcis-26478	32	10	space	space	NOUN
fcis-26478	32	11	distances	distance	NOUN
fcis-26478	32	12	entering	enter	VERB
fcis-26478	32	13	the	the	DET
fcis-26478	32	14	mating	mate	VERB
fcis-26478	32	15	pool	pool	NOUN
fcis-26478	32	16	to	to	PART
fcis-26478	32	17	select	select	VERB
fcis-26478	32	18	better	well	ADJ
fcis-26478	32	19	individuals	individual	NOUN
fcis-26478	32	20	,	,	PUNCT
fcis-26478	32	21	allowing	allow	VERB
fcis-26478	32	22	the	the	DET
fcis-26478	32	23	population	population	NOUN
fcis-26478	32	24	to	to	PART
fcis-26478	32	25	search	search	VERB
fcis-26478	32	26	for	for	ADP
fcis-26478	32	27	different	different	ADJ
fcis-26478	32	28	pareto	pareto	ADJ
fcis-26478	32	29	optimal	optimal	ADJ
fcis-26478	32	30	solutions	solution	NOUN
fcis-26478	32	31	in	in	ADP
fcis-26478	32	32	different	different	ADJ
fcis-26478	32	33	habitats	habitat	NOUN
fcis-26478	32	34	and	and	CCONJ
fcis-26478	32	35	improving	improve	VERB
fcis-26478	32	36	the	the	DET
fcis-26478	32	37	search	search	NOUN
fcis-26478	32	38	ability	ability	NOUN
fcis-26478	32	39	of	of	ADP
fcis-26478	32	40	the	the	DET
fcis-26478	32	41	algorithm	algorithm	NOUN
fcis-26478	32	42	.	.	PUNCT
fcis-26478	33	1	in	in	ADP
fcis-26478	33	2	[	[	X
fcis-26478	33	3	10	10	NUM
fcis-26478	33	4	]	]	PUNCT
fcis-26478	33	5	,	,	PUNCT
fcis-26478	33	6	the	the	DET
fcis-26478	33	7	main	main	ADJ
fcis-26478	33	8	idea	idea	NOUN
fcis-26478	33	9	of	of	ADP
fcis-26478	33	10	the	the	DET
fcis-26478	33	11	mo	mo	PROPN
fcis-26478	33	12	-	-	PUNCT
fcis-26478	33	13	ring	ring	NOUN
fcis-26478	33	14	-	-	PUNCT
fcis-26478	33	15	pso	pso	NOUN
fcis-26478	33	16	-	-	PUNCT
fcis-26478	33	17	scd	scd	NOUN
fcis-26478	33	18	proposed	propose	VERB
fcis-26478	33	19	by	by	ADP
fcis-26478	33	20	liang	liang	PROPN
fcis-26478	33	21	jing	jing	PROPN
fcis-26478	33	22	et	et	PROPN
fcis-26478	33	23	al	al	PROPN
fcis-26478	33	24	.	.	PROPN
fcis-26478	33	25	is	be	AUX
fcis-26478	33	26	to	to	PART
fcis-26478	33	27	adopt	adopt	VERB
fcis-26478	33	28	a	a	DET
fcis-26478	33	29	ring	ring	NOUN
fcis-26478	33	30	topology	topology	NOUN
fcis-26478	33	31	structure	structure	NOUN
fcis-26478	33	32	based	base	VERB
fcis-26478	33	33	on	on	ADP
fcis-26478	33	34	index	index	NOUN
fcis-26478	33	35	indexing	indexing	NOUN
fcis-26478	33	36	,	,	PUNCT
fcis-26478	33	37	and	and	CCONJ
fcis-26478	33	38	consider	consider	VERB
fcis-26478	33	39	crowding	crowd	VERB
fcis-26478	33	40	distance	distance	NOUN
fcis-26478	33	41	in	in	ADP
fcis-26478	33	42	both	both	DET
fcis-26478	33	43	decision	decision	NOUN
fcis-26478	33	44	space	space	NOUN
fcis-26478	33	45	and	and	CCONJ
fcis-26478	33	46	target	target	NOUN
fcis-26478	33	47	space	space	NOUN
fcis-26478	33	48	.	.	PUNCT
fcis-26478	34	1	combining	combine	VERB
fcis-26478	34	2	non	non	ADJ
fcis-26478	34	3	dominated	dominate	VERB
fcis-26478	34	4	sorting	sorting	NOUN
fcis-26478	34	5	,	,	PUNCT
fcis-26478	34	6	the	the	DET
fcis-26478	34	7	algorithm	algorithm	NOUN
fcis-26478	34	8	selects	select	VERB
fcis-26478	34	9	the	the	DET
fcis-26478	34	10	optimal	optimal	ADJ
fcis-26478	34	11	solution	solution	NOUN
fcis-26478	34	12	to	to	PART
fcis-26478	34	13	enter	enter	VERB
fcis-26478	34	14	the	the	DET
fcis-26478	34	15	next	next	ADJ
fcis-26478	34	16	generation	generation	NOUN
fcis-26478	34	17	evolutionary	evolutionary	ADJ
fcis-26478	34	18	population	population	NOUN
fcis-26478	34	19	,	,	PUNCT
fcis-26478	34	20	in	in	ADP
fcis-26478	34	21	order	order	NOUN
fcis-26478	34	22	to	to	PART
fcis-26478	34	23	maintain	maintain	VERB
fcis-26478	34	24	the	the	DET
fcis-26478	34	25	diversity	diversity	NOUN
fcis-26478	34	26	of	of	ADP
fcis-26478	34	27	the	the	DET
fcis-26478	34	28	distribution	distribution	NOUN
fcis-26478	34	29	of	of	ADP
fcis-26478	34	30	the	the	DET
fcis-26478	34	31	optimal	optimal	ADJ
fcis-26478	34	32	solution	solution	NOUN
fcis-26478	34	33	set	set	VERB
fcis-26478	34	34	.	.	PUNCT
fcis-26478	35	1	at	at	ADP
fcis-26478	35	2	the	the	DET
fcis-26478	35	3	same	same	ADJ
fcis-26478	35	4	time	time	NOUN
fcis-26478	35	5	,	,	PUNCT
fcis-26478	35	6	a	a	DET
fcis-26478	35	7	multi	multi	ADJ
fcis-26478	35	8	-	-	ADJ
fcis-26478	35	9	modal	modal	ADJ
fcis-26478	35	10	multi	multi	ADJ
fcis-26478	35	11	-	-	ADJ
fcis-26478	35	12	objective	objective	ADJ
fcis-26478	35	13	optimization	optimization	NOUN
fcis-26478	35	14	problem	problem	NOUN
fcis-26478	35	15	testing	testing	NOUN
fcis-26478	35	16	function	function	NOUN
fcis-26478	35	17	and	and	CCONJ
fcis-26478	35	18	new	new	ADJ
fcis-26478	35	19	evaluation	evaluation	NOUN
fcis-26478	35	20	indicators	indicator	NOUN
fcis-26478	35	21	were	be	AUX
fcis-26478	35	22	proposed	propose	VERB
fcis-26478	35	23	.	.	PUNCT
fcis-26478	36	1	lommode_ncd	lommode_ncd	PRON
fcis-26478	36	2	[	[	PUNCT
fcis-26478	36	3	11	11	NUM
fcis-26478	36	4	]	]	PUNCT
fcis-26478	36	5	,	,	PUNCT
fcis-26478	36	6	it	it	PRON
fcis-26478	36	7	is	be	AUX
fcis-26478	36	8	a	a	DET
fcis-26478	36	9	multimodal	multimodal	ADJ
fcis-26478	36	10	multi	multi	ADJ
fcis-26478	36	11	-	-	ADJ
fcis-26478	36	12	objective	objective	ADJ
fcis-26478	36	13	optimization	optimization	NOUN
fcis-26478	36	14	algorithm	algorithm	NOUN
fcis-26478	36	15	based	base	VERB
fcis-26478	36	16	on	on	ADP
fcis-26478	36	17	the	the	DET
fcis-26478	36	18	local	local	ADJ
fcis-26478	36	19	optimal	optimal	ADJ
fcis-26478	36	20	neighborhood	neighborhood	NOUN
fcis-26478	36	21	crowding	crowd	VERB
fcis-26478	36	22	distance	distance	NOUN
fcis-26478	36	23	differential	differential	ADJ
fcis-26478	36	24	evolution	evolution	NOUN
fcis-26478	36	25	algorithm	algorithm	NOUN
fcis-26478	36	26	.	.	PUNCT
fcis-26478	37	1	firstly	firstly	ADV
fcis-26478	37	2	,	,	PUNCT
fcis-26478	37	3	utilizing	utilize	VERB
fcis-26478	37	4	the	the	DET
fcis-26478	37	5	characteristics	characteristic	NOUN
fcis-26478	37	6	of	of	ADP
fcis-26478	37	7	heuristic	heuristic	ADJ
fcis-26478	37	8	random	random	ADJ
fcis-26478	37	9	search	search	NOUN
fcis-26478	37	10	,	,	PUNCT
fcis-26478	37	11	an	an	DET
fcis-26478	37	12	adaptive	adaptive	ADJ
fcis-26478	37	13	partitioning	partitioning	NOUN
fcis-26478	37	14	strategy	strategy	NOUN
fcis-26478	37	15	in	in	ADP
fcis-26478	37	16	the	the	DET
fcis-26478	37	17	initialization	initialization	NOUN
fcis-26478	37	18	stage	stage	NOUN
fcis-26478	37	19	is	be	AUX
fcis-26478	37	20	proposed	propose	VERB
fcis-26478	37	21	to	to	PART
fcis-26478	37	22	ensure	ensure	VERB
fcis-26478	37	23	the	the	DET
fcis-26478	37	24	rapid	rapid	ADJ
fcis-26478	37	25	finding	finding	NOUN
fcis-26478	37	26	of	of	ADP
fcis-26478	37	27	local	local	ADJ
fcis-26478	37	28	optimal	optimal	ADJ
fcis-26478	37	29	solutions	solution	NOUN
fcis-26478	37	30	in	in	ADP
fcis-26478	37	31	multiple	multiple	ADJ
fcis-26478	37	32	pss	pss	PROPN
fcis-26478	37	33	.	.	PUNCT
fcis-26478	38	1	secondly	secondly	ADV
fcis-26478	38	2	,	,	PUNCT
fcis-26478	38	3	combining	combine	VERB
fcis-26478	38	4	reverse	reverse	NOUN
fcis-26478	38	5	learning	learn	VERB
fcis-26478	38	6	with	with	ADP
fcis-26478	38	7	differential	differential	ADJ
fcis-26478	38	8	mutation	mutation	NOUN
fcis-26478	38	9	to	to	PART
fcis-26478	38	10	generate	generate	VERB
fcis-26478	38	11	vectors	vector	NOUN
fcis-26478	38	12	accelerates	accelerate	VERB
fcis-26478	38	13	the	the	DET
fcis-26478	38	14	convergence	convergence	NOUN
fcis-26478	38	15	speed	speed	NOUN
fcis-26478	38	16	of	of	ADP
fcis-26478	38	17	the	the	DET
fcis-26478	38	18	population	population	NOUN
fcis-26478	38	19	towards	towards	ADP
fcis-26478	38	20	the	the	DET
fcis-26478	38	21	optimal	optimal	ADJ
fcis-26478	38	22	solution	solution	NOUN
fcis-26478	38	23	.	.	PUNCT
fcis-26478	39	1	finally	finally	ADV
fcis-26478	39	2	,	,	PUNCT
fcis-26478	39	3	a	a	DET
fcis-26478	39	4	method	method	NOUN
fcis-26478	39	5	was	be	AUX
fcis-26478	39	6	designed	design	VERB
fcis-26478	39	7	to	to	PART
fcis-26478	39	8	calculate	calculate	VERB
fcis-26478	39	9	the	the	DET
fcis-26478	39	10	crowding	crowd	VERB
fcis-26478	39	11	distance	distance	NOUN
fcis-26478	39	12	of	of	ADP
fcis-26478	39	13	neighborhoods	neighborhood	NOUN
fcis-26478	39	14	on	on	ADP
fcis-26478	39	15	different	different	ADJ
fcis-26478	39	16	pareto	pareto	ADJ
fcis-26478	39	17	ranks	rank	NOUN
fcis-26478	39	18	.	.	PUNCT
fcis-26478	40	1	mt	mt	PROPN
fcis-26478	40	2	-	-	PUNCT
fcis-26478	40	3	mmea	mmea	PROPN
fcis-26478	40	4	[	[	X
fcis-26478	40	5	12	12	NUM
fcis-26478	40	6	]	]	PUNCT
fcis-26478	40	7	adopts	adopt	VERB
fcis-26478	40	8	a	a	DET
fcis-26478	40	9	non	non	ADJ
fcis-26478	40	10	-	-	ADJ
fcis-26478	40	11	dominated	dominated	ADJ
fcis-26478	40	12	sorting	sorting	NOUN
fcis-26478	40	13	strategy	strategy	NOUN
fcis-26478	40	14	and	and	CCONJ
fcis-26478	40	15	introduces	introduce	VERB
fcis-26478	40	16	an	an	DET
fcis-26478	40	17			NOUN
fcis-26478	40	18	-based	-based	ADJ
fcis-26478	40	19	auxiliary	auxiliary	ADJ
fcis-26478	40	20	task	task	NOUN
fcis-26478	40	21	.	.	PUNCT
fcis-26478	41	1	through	through	ADP
fcis-26478	41	2	knowledge	knowledge	NOUN
fcis-26478	41	3	transfer	transfer	NOUN
fcis-26478	41	4	,	,	PUNCT
fcis-26478	41	5	solutions	solution	NOUN
fcis-26478	41	6	within	within	ADP
fcis-26478	41	7	a	a	DET
fcis-26478	41	8	specific	specific	ADJ
fcis-26478	41	9	range	range	NOUN
fcis-26478	41	10	are	be	AUX
fcis-26478	41	11	considered	consider	VERB
fcis-26478	41	12	equivalent	equivalent	ADJ
fcis-26478	41	13	solutions	solution	NOUN
fcis-26478	41	14	,	,	PUNCT
fcis-26478	41	15	maximizing	maximize	VERB
fcis-26478	41	16	the	the	DET
fcis-26478	41	17	diversity	diversity	NOUN
fcis-26478	41	18	of	of	ADP
fcis-26478	41	19	the	the	DET
fcis-26478	41	20	decision	decision	NOUN
fcis-26478	41	21	space	space	NOUN
fcis-26478	41	22	with	with	ADP
fcis-26478	41	23	acceptable	acceptable	ADJ
fcis-26478	41	24	sacrifices	sacrifice	NOUN
fcis-26478	41	25	in	in	ADP
fcis-26478	41	26	the	the	DET
fcis-26478	41	27	target	target	NOUN
fcis-26478	41	28	space	space	NOUN
fcis-26478	41	29	and	and	CCONJ
fcis-26478	41	30	finding	find	VERB
fcis-26478	41	31	well	well	ADV
fcis-26478	41	32	distributed	distribute	VERB
fcis-26478	41	33	individuals	individual	NOUN
fcis-26478	41	34	.	.	PUNCT
fcis-26478	42	1	the	the	DET
fcis-26478	42	2	pareto	pareto	ADJ
fcis-26478	42	3	dominated	dominate	VERB
fcis-26478	42	4	method	method	NOUN
fcis-26478	42	5	is	be	AUX
fcis-26478	42	6	still	still	ADV
fcis-26478	42	7	widely	widely	ADV
fcis-26478	42	8	used	use	VERB
fcis-26478	42	9	in	in	ADP
fcis-26478	42	10	solving	solve	VERB
fcis-26478	42	11	mmoeas	mmoea	NOUN
fcis-26478	42	12	,	,	PUNCT
fcis-26478	42	13	with	with	ADP
fcis-26478	42	14	its	its	PRON
fcis-26478	42	15	main	main	ADJ
fcis-26478	42	16	advantages	advantage	NOUN
fcis-26478	42	17	being	be	AUX
fcis-26478	42	18	strong	strong	ADJ
fcis-26478	42	19	applicability	applicability	NOUN
fcis-26478	42	20	,	,	PUNCT
fcis-26478	42	21	simple	simple	ADJ
fcis-26478	42	22	operation	operation	NOUN
fcis-26478	42	23	,	,	PUNCT
fcis-26478	42	24	and	and	CCONJ
fcis-26478	42	25	convergence	convergence	NOUN
fcis-26478	42	26	.	.	PUNCT
fcis-26478	43	1	3.2	3.2	NUM
fcis-26478	43	2	.	.	PUNCT
fcis-26478	44	1	objective	objective	ADJ
fcis-26478	44	2	decomposition	decomposition	NOUN
fcis-26478	44	3	based	base	VERB
fcis-26478	44	4	mmoeas	mmoea	NOUN
fcis-26478	44	5	the	the	DET
fcis-26478	44	6	core	core	ADJ
fcis-26478	44	7	idea	idea	NOUN
fcis-26478	44	8	of	of	ADP
fcis-26478	44	9	this	this	DET
fcis-26478	44	10	type	type	NOUN
fcis-26478	44	11	of	of	ADP
fcis-26478	44	12	algorithm	algorithm	NOUN
fcis-26478	44	13	is	be	AUX
fcis-26478	44	14	to	to	PART
fcis-26478	44	15	generate	generate	VERB
fcis-26478	44	16	a	a	DET
fcis-26478	44	17	set	set	NOUN
fcis-26478	44	18	of	of	ADP
fcis-26478	44	19	weight	weight	NOUN
fcis-26478	44	20	vectors	vector	NOUN
fcis-26478	44	21	,	,	PUNCT
fcis-26478	44	22	transform	transform	VERB
fcis-26478	44	23	mmop	mmop	NOUN
fcis-26478	44	24	into	into	ADP
fcis-26478	44	25	multiple	multiple	ADJ
fcis-26478	44	26	simple	simple	ADJ
fcis-26478	44	27	subproblems	subproblem	NOUN
fcis-26478	44	28	,	,	PUNCT
fcis-26478	44	29	and	and	CCONJ
fcis-26478	44	30	assign	assign	VERB
fcis-26478	44	31	multiple	multiple	ADJ
fcis-26478	44	32	individuals	individual	NOUN
fcis-26478	44	33	to	to	PART
fcis-26478	44	34	solve	solve	VERB
fcis-26478	44	35	each	each	DET
fcis-26478	44	36	subproblem	subproblem	NOUN
fcis-26478	44	37	.	.	PUNCT
fcis-26478	45	1	representative	representative	ADJ
fcis-26478	45	2	algorithm	algorithm	NOUN
fcis-26478	45	3	statements	statement	NOUN
fcis-26478	45	4	are	be	AUX
fcis-26478	45	5	as	as	SCONJ
fcis-26478	45	6	follows	follow	VERB
fcis-26478	45	7	.	.	PUNCT
fcis-26478	46	1	tanabe	tanabe	PROPN
fcis-26478	46	2	et	et	PROPN
fcis-26478	46	3	al.proposed	al.propose	VERB
fcis-26478	46	4	moea	moea	NOUN
fcis-26478	46	5	/	/	SYM
fcis-26478	46	6	d	d	NOUN
fcis-26478	46	7	-	-	PUNCT
fcis-26478	46	8	ad	ad	NOUN
fcis-26478	46	9	[	[	X
fcis-26478	46	10	13	13	NUM
fcis-26478	46	11	]	]	PUNCT
fcis-26478	46	12	,	,	PUNCT
fcis-26478	46	13	which	which	PRON
fcis-26478	46	14	assigns	assign	VERB
fcis-26478	46	15	one	one	NUM
fcis-26478	46	16	or	or	CCONJ
fcis-26478	46	17	more	more	ADJ
fcis-26478	46	18	individuals	individual	NOUN
fcis-26478	46	19	to	to	ADP
fcis-26478	46	20	the	the	DET
fcis-26478	46	21	same	same	ADJ
fcis-26478	46	22	sub	sub	NOUN
fcis-26478	46	23	-	-	NOUN
fcis-26478	46	24	problem	problem	NOUN
fcis-26478	46	25	based	base	VERB
fcis-26478	46	26	on	on	ADP
fcis-26478	46	27	its	its	PRON
fcis-26478	46	28	position	position	NOUN
fcis-26478	46	29	in	in	ADP
fcis-26478	46	30	the	the	DET
fcis-26478	46	31	target	target	NOUN
fcis-26478	46	32	space	space	NOUN
fcis-26478	46	33	.	.	PUNCT
fcis-26478	47	1	the	the	DET
fcis-26478	47	2	sub	sub	NOUN
fcis-26478	47	3	-	-	NOUN
fcis-26478	47	4	problem	problem	NOUN
fcis-26478	47	5	is	be	AUX
fcis-26478	47	6	compared	compare	VERB
fcis-26478	47	7	with	with	ADP
fcis-26478	47	8	its	its	PRON
fcis-26478	47	9	adjacent	adjacent	ADJ
fcis-26478	47	10	sub	sub	NOUN
fcis-26478	47	11	problems	problem	NOUN
fcis-26478	47	12	in	in	ADP
fcis-26478	47	13	the	the	DET
fcis-26478	47	14	solution	solution	NOUN
fcis-26478	47	15	space	space	NOUN
fcis-26478	47	16	,	,	PUNCT
fcis-26478	47	17	and	and	CCONJ
fcis-26478	47	18	environment	environment	NOUN
fcis-26478	47	19	selection	selection	NOUN
fcis-26478	47	20	is	be	AUX
fcis-26478	47	21	performed	perform	VERB
fcis-26478	47	22	on	on	ADP
fcis-26478	47	23	individuals	individual	NOUN
fcis-26478	47	24	who	who	PRON
fcis-26478	47	25	are	be	AUX
fcis-26478	47	26	close	close	ADJ
fcis-26478	47	27	to	to	ADP
fcis-26478	47	28	each	each	DET
fcis-26478	47	29	other	other	ADJ
fcis-26478	47	30	in	in	ADP
fcis-26478	47	31	the	the	DET
fcis-26478	47	32	solution	solution	NOUN
fcis-26478	47	33	space	space	NOUN
fcis-26478	47	34	.	.	PUNCT
fcis-26478	48	1	the	the	DET
fcis-26478	48	2	population	population	NOUN
fcis-26478	48	3	size	size	NOUN
fcis-26478	48	4	can	can	AUX
fcis-26478	48	5	be	be	AUX
fcis-26478	48	6	dynamically	dynamically	ADV
fcis-26478	48	7	adjusted	adjust	VERB
fcis-26478	48	8	during	during	ADP
fcis-26478	48	9	the	the	DET
fcis-26478	48	10	search	search	NOUN
fcis-26478	48	11	process	process	NOUN
fcis-26478	48	12	.	.	PUNCT
fcis-26478	49	1	[	[	X
fcis-26478	49	2	14	14	NUM
fcis-26478	49	3	]	]	PUNCT
fcis-26478	49	4	is	be	AUX
fcis-26478	49	5	to	to	PART
fcis-26478	49	6	assign	assign	VERB
fcis-26478	49	7	k	k	PROPN
fcis-26478	49	8	solutions	solution	NOUN
fcis-26478	49	9	to	to	ADP
fcis-26478	49	10	each	each	DET
fcis-26478	49	11	weight	weight	NOUN
fcis-26478	49	12	vector	vector	NOUN
fcis-26478	49	13	in	in	ADP
fcis-26478	49	14	the	the	DET
fcis-26478	49	15	moea	moea	NOUN
fcis-26478	49	16	/	/	SYM
fcis-26478	49	17	d	d	NOUN
fcis-26478	49	18	variant	variant	NOUN
fcis-26478	49	19	,	,	PUNCT
fcis-26478	49	20	where	where	SCONJ
fcis-26478	49	21	k	k	PROPN
fcis-26478	49	22	is	be	AUX
fcis-26478	49	23	determined	determine	VERB
fcis-26478	49	24	by	by	ADP
fcis-26478	49	25	the	the	DET
fcis-26478	49	26	dependency	dependency	NOUN
fcis-26478	49	27	problem	problem	NOUN
fcis-26478	49	28	.	.	PUNCT
fcis-26478	50	1	the	the	DET
fcis-26478	50	2	solution	solution	NOUN
fcis-26478	50	3	is	be	AUX
fcis-26478	50	4	evaluated	evaluate	VERB
fcis-26478	50	5	by	by	ADP
fcis-26478	50	6	the	the	DET
fcis-26478	50	7	minimum	minimum	ADJ
fcis-26478	50	8	distance	distance	NOUN
fcis-26478	50	9	to	to	ADP
fcis-26478	50	10	other	other	ADJ
fcis-26478	50	11	solutions	solution	NOUN
fcis-26478	50	12	with	with	ADP
fcis-26478	50	13	the	the	DET
fcis-26478	50	14	same	same	ADJ
fcis-26478	50	15	weight	weight	NOUN
fcis-26478	50	16	vector	vector	NOUN
fcis-26478	50	17	and	and	CCONJ
fcis-26478	50	18	the	the	DET
fcis-26478	50	19	average	average	ADJ
fcis-26478	50	20	distance	distance	NOUN
fcis-26478	50	21	to	to	ADP
fcis-26478	50	22	adjacent	adjacent	ADJ
fcis-26478	50	23	solutions	solution	NOUN
fcis-26478	50	24	in	in	ADP
fcis-26478	50	25	the	the	DET
fcis-26478	50	26	grid	grid	NOUN
fcis-26478	50	27	with	with	ADP
fcis-26478	50	28	the	the	DET
fcis-26478	50	29	same	same	ADJ
fcis-26478	50	30	weight	weight	NOUN
fcis-26478	50	31	vector	vector	NOUN
fcis-26478	50	32	.	.	PUNCT
fcis-26478	51	1	a	a	DET
fcis-26478	51	2	solution	solution	NOUN
fcis-26478	51	3	partitioning	partition	VERB
fcis-26478	51	4	mechanism	mechanism	NOUN
fcis-26478	51	5	is	be	AUX
fcis-26478	51	6	introduced	introduce	VERB
fcis-26478	51	7	in	in	ADP
fcis-26478	51	8	the	the	DET
fcis-26478	51	9	decision	decision	NOUN
fcis-26478	51	10	space	space	NOUN
fcis-26478	51	11	for	for	ADP
fcis-26478	51	12	solving	solve	VERB
fcis-26478	51	13	.	.	PUNCT
fcis-26478	52	1	[	[	X
fcis-26478	52	2	15	15	NUM
fcis-26478	52	3	]	]	PUNCT
fcis-26478	52	4	applies	apply	VERB
fcis-26478	52	5	clustering	cluster	VERB
fcis-26478	52	6	methods	method	NOUN
fcis-26478	52	7	to	to	PART
fcis-26478	52	8	divide	divide	VERB
fcis-26478	52	9	the	the	DET
fcis-26478	52	10	population	population	NOUN
fcis-26478	52	11	,	,	PUNCT
fcis-26478	52	12	explores	explore	VERB
fcis-26478	52	13	different	different	ADJ
fcis-26478	52	14	regions	region	NOUN
fcis-26478	52	15	of	of	ADP
fcis-26478	52	16	the	the	DET
fcis-26478	52	17	decision	decision	NOUN
fcis-26478	52	18	space	space	NOUN
fcis-26478	52	19	through	through	ADP
fcis-26478	52	20	multiple	multiple	ADJ
fcis-26478	52	21	subgroups	subgroup	NOUN
fcis-26478	52	22	,	,	PUNCT
fcis-26478	52	23	and	and	CCONJ
fcis-26478	52	24	guides	guide	VERB
fcis-26478	52	25	the	the	DET
fcis-26478	52	26	search	search	NOUN
fcis-26478	52	27	behavior	behavior	NOUN
fcis-26478	52	28	of	of	ADP
fcis-26478	52	29	subgroups	subgroup	NOUN
fcis-26478	52	30	with	with	ADP
fcis-26478	52	31	adaptively	adaptively	ADV
fcis-26478	52	32	updated	update	VERB
fcis-26478	52	33	guidance	guidance	NOUN
fcis-26478	52	34	vectors	vector	NOUN
fcis-26478	52	35	.	.	PUNCT
fcis-26478	53	1	the	the	DET
fcis-26478	53	2	guidance	guidance	NOUN
fcis-26478	53	3	vectors	vector	NOUN
fcis-26478	53	4	of	of	ADP
fcis-26478	53	5	each	each	DET
fcis-26478	53	6	subgroup	subgroup	NOUN
fcis-26478	53	7	provide	provide	VERB
fcis-26478	53	8	efficient	efficient	ADJ
fcis-26478	53	9	convergence	convergence	NOUN
fcis-26478	53	10	in	in	ADP
fcis-26478	53	11	the	the	DET
fcis-26478	53	12	search	search	NOUN
fcis-26478	53	13	space	space	NOUN
fcis-26478	53	14	.	.	PUNCT
fcis-26478	54	1	[	[	X
fcis-26478	54	2	16	16	NUM
fcis-26478	54	3	]	]	PUNCT
fcis-26478	54	4	adopts	adopt	VERB
fcis-26478	54	5	partition	partition	NOUN
fcis-26478	54	6	search	search	NOUN
fcis-26478	54	7	method	method	NOUN
fcis-26478	54	8	to	to	PART
fcis-26478	54	9	maintain	maintain	VERB
fcis-26478	54	10	diversity	diversity	NOUN
fcis-26478	54	11	in	in	ADP
fcis-26478	54	12	the	the	DET
fcis-26478	54	13	decision	decision	NOUN
fcis-26478	54	14	space	space	NOUN
fcis-26478	54	15	.	.	PUNCT
fcis-26478	55	1	randomly	randomly	ADV
fcis-26478	55	2	select	select	VERB
fcis-26478	55	3	some	some	DET
fcis-26478	55	4	decision	decision	NOUN
fcis-26478	55	5	variables	variable	NOUN
fcis-26478	55	6	of	of	ADP
fcis-26478	55	7	mmop	mmop	NOUN
fcis-26478	55	8	,	,	PUNCT
fcis-26478	55	9	divide	divide	VERB
fcis-26478	55	10	the	the	DET
fcis-26478	55	11	entire	entire	ADJ
fcis-26478	55	12	search	search	NOUN
fcis-26478	55	13	space	space	NOUN
fcis-26478	55	14	into	into	ADP
fcis-26478	55	15	multiple	multiple	ADJ
fcis-26478	55	16	subspaces	subspace	NOUN
fcis-26478	55	17	,	,	PUNCT
fcis-26478	55	18	and	and	CCONJ
fcis-26478	55	19	search	search	VERB
fcis-26478	55	20	each	each	DET
fcis-26478	55	21	subspace	subspace	NOUN
fcis-26478	55	22	separately	separately	ADV
fcis-26478	55	23	.	.	PUNCT
fcis-26478	56	1	in	in	ADP
fcis-26478	56	2	the	the	DET
fcis-26478	56	3	decision	decision	NOUN
fcis-26478	56	4	space	space	NOUN
fcis-26478	56	5	,	,	PUNCT
fcis-26478	56	6	population	population	NOUN
fcis-26478	56	7	diversity	diversity	NOUN
fcis-26478	56	8	can	can	AUX
fcis-26478	56	9	be	be	AUX
fcis-26478	56	10	maintained	maintain	VERB
fcis-26478	56	11	and	and	CCONJ
fcis-26478	56	12	the	the	DET
fcis-26478	56	13	complexity	complexity	NOUN
fcis-26478	56	14	of	of	ADP
fcis-26478	56	15	the	the	DET
fcis-26478	56	16	problem	problem	NOUN
fcis-26478	56	17	can	can	AUX
fcis-26478	56	18	be	be	AUX
fcis-26478	56	19	reduced	reduce	VERB
fcis-26478	56	20	.	.	PUNCT
fcis-26478	57	1	mmopso	mmopso	ADJ
fcis-26478	57	2	-	-	PUNCT
fcis-26478	57	3	zsms	zsms	NOUN
fcis-26478	58	1	[	[	X
fcis-26478	58	2	17	17	NUM
fcis-26478	58	3	]	]	PUNCT
fcis-26478	58	4	adopts	adopt	VERB
fcis-26478	58	5	a	a	DET
fcis-26478	58	6	partitioning	partition	VERB
fcis-26478	58	7	strategy	strategy	NOUN
fcis-26478	58	8	to	to	PART
fcis-26478	58	9	divide	divide	VERB
fcis-26478	58	10	the	the	DET
fcis-26478	58	11	entire	entire	ADJ
fcis-26478	58	12	search	search	NOUN
fcis-26478	58	13	space	space	NOUN
fcis-26478	58	14	into	into	ADP
fcis-26478	58	15	multiple	multiple	ADJ
fcis-26478	58	16	subspaces	subspace	NOUN
fcis-26478	58	17	,	,	PUNCT
fcis-26478	58	18	independently	independently	ADV
fcis-26478	58	19	using	use	VERB
fcis-26478	58	20	a	a	DET
fcis-26478	58	21	multi	multi	ADJ
fcis-26478	58	22	-	-	ADJ
fcis-26478	58	23	modal	modal	ADJ
fcis-26478	58	24	multi	multi	ADJ
fcis-26478	58	25	-	-	ADJ
fcis-26478	58	26	objective	objective	ADJ
fcis-26478	58	27	particle	particle	NOUN
fcis-26478	58	28	swarm	swarm	NOUN
fcis-26478	58	29	algorithm	algorithm	NOUN
fcis-26478	58	30	based	base	VERB
fcis-26478	58	31	on	on	ADP
fcis-26478	58	32	multiple	multiple	ADJ
fcis-26478	58	33	subpopulations	subpopulation	NOUN
fcis-26478	58	34	to	to	PART
fcis-26478	58	35	search	search	VERB
fcis-26478	58	36	for	for	ADP
fcis-26478	58	37	more	more	ADJ
fcis-26478	58	38	potential	potential	ADJ
fcis-26478	58	39	equivalent	equivalent	ADJ
fcis-26478	58	40	pareto	pareto	ADJ
fcis-26478	58	41	solutions	solution	NOUN
fcis-26478	58	42	in	in	ADP
fcis-26478	58	43	each	each	DET
fcis-26478	58	44	subspace	subspace	NOUN
fcis-26478	58	45	.	.	PUNCT
fcis-26478	59	1	[	[	X
fcis-26478	59	2	18	18	NUM
fcis-26478	59	3	]	]	PUNCT
fcis-26478	59	4	transformed	transform	VERB
fcis-26478	59	5	the	the	DET
fcis-26478	59	6	original	original	ADJ
fcis-26478	59	7	multimodal	multimodal	NOUN
fcis-26478	59	8	multi	multi	ADJ
fcis-26478	59	9	-	-	ADJ
fcis-26478	59	10	objective	objective	ADJ
fcis-26478	59	11	optimization	optimization	NOUN
fcis-26478	59	12	problem	problem	NOUN
fcis-26478	59	13	into	into	ADP
fcis-26478	59	14	a	a	DET
fcis-26478	59	15	bi	bi	ADJ
fcis-26478	59	16	objective	objective	ADJ
fcis-26478	59	17	optimization	optimization	NOUN
fcis-26478	59	18	problem	problem	NOUN
fcis-26478	59	19	,	,	PUNCT
fcis-26478	59	20	with	with	ADP
fcis-26478	59	21	one	one	NUM
fcis-26478	59	22	objective	objective	NOUN
fcis-26478	59	23	being	be	AUX
fcis-26478	59	24	to	to	PART
fcis-26478	59	25	construct	construct	VERB
fcis-26478	59	26	it	it	PRON
fcis-26478	59	27	using	use	VERB
fcis-26478	59	28	the	the	DET
fcis-26478	59	29	decomposition	decomposition	NOUN
fcis-26478	59	30	or	or	CCONJ
fcis-26478	59	31	metric	metric	ADJ
fcis-26478	59	32	methods	method	NOUN
fcis-26478	59	33	in	in	ADP
fcis-26478	59	34	moeas	moea	NOUN
fcis-26478	59	35	to	to	PART
fcis-26478	59	36	ensure	ensure	VERB
fcis-26478	59	37	the	the	DET
fcis-26478	59	38	convergence	convergence	NOUN
fcis-26478	59	39	of	of	ADP
fcis-26478	59	40	the	the	DET
fcis-26478	59	41	population	population	NOUN
fcis-26478	59	42	;	;	PUNCT
fcis-26478	59	43	another	another	DET
fcis-26478	59	44	goal	goal	NOUN
fcis-26478	59	45	is	be	AUX
fcis-26478	59	46	the	the	DET
fcis-26478	59	47	diversity	diversity	NOUN
fcis-26478	59	48	56	56	NUM
fcis-26478	59	49	index	index	NOUN
fcis-26478	59	50	,	,	PUNCT
fcis-26478	59	51	which	which	PRON
fcis-26478	59	52	is	be	AUX
fcis-26478	59	53	used	use	VERB
fcis-26478	59	54	to	to	PART
fcis-26478	59	55	maintain	maintain	VERB
fcis-26478	59	56	the	the	DET
fcis-26478	59	57	diversity	diversity	NOUN
fcis-26478	59	58	of	of	ADP
fcis-26478	59	59	the	the	DET
fcis-26478	59	60	population	population	NOUN
fcis-26478	59	61	and	and	CCONJ
fcis-26478	59	62	adaptively	adaptively	ADV
fcis-26478	59	63	select	select	VERB
fcis-26478	59	64	the	the	DET
fcis-26478	59	65	best	good	ADJ
fcis-26478	59	66	individuals	individual	NOUN
fcis-26478	59	67	during	during	ADP
fcis-26478	59	68	the	the	DET
fcis-26478	59	69	evolution	evolution	NOUN
fcis-26478	59	70	process	process	NOUN
fcis-26478	59	71	.	.	PUNCT
fcis-26478	60	1	this	this	DET
fcis-26478	60	2	type	type	NOUN
fcis-26478	60	3	of	of	ADP
fcis-26478	60	4	algorithm	algorithm	NOUN
fcis-26478	60	5	generally	generally	ADV
fcis-26478	60	6	maintains	maintain	VERB
fcis-26478	60	7	diversity	diversity	NOUN
fcis-26478	60	8	by	by	ADP
fcis-26478	60	9	using	use	VERB
fcis-26478	60	10	uniformly	uniformly	ADV
fcis-26478	60	11	distributed	distribute	VERB
fcis-26478	60	12	weight	weight	NOUN
fcis-26478	60	13	vectors	vector	NOUN
fcis-26478	60	14	,	,	PUNCT
fcis-26478	60	15	but	but	CCONJ
fcis-26478	60	16	the	the	DET
fcis-26478	60	17	dependency	dependency	NOUN
fcis-26478	60	18	problem	problem	NOUN
fcis-26478	60	19	determines	determine	VERB
fcis-26478	60	20	the	the	DET
fcis-26478	60	21	number	number	NOUN
fcis-26478	60	22	of	of	ADP
fcis-26478	60	23	allocated	allocate	VERB
fcis-26478	60	24	individuals	individual	NOUN
fcis-26478	60	25	or	or	CCONJ
fcis-26478	60	26	the	the	DET
fcis-26478	60	27	size	size	NOUN
fcis-26478	60	28	of	of	ADP
fcis-26478	60	29	the	the	DET
fcis-26478	60	30	neighborhood	neighborhood	NOUN
fcis-26478	60	31	,	,	PUNCT
fcis-26478	60	32	resulting	result	VERB
fcis-26478	60	33	in	in	ADP
fcis-26478	60	34	slow	slow	ADJ
fcis-26478	60	35	computation	computation	NOUN
fcis-26478	60	36	and	and	CCONJ
fcis-26478	60	37	longer	long	ADV
fcis-26478	60	38	running	run	VERB
fcis-26478	60	39	time	time	NOUN
fcis-26478	60	40	.	.	PUNCT
fcis-26478	61	1	3.3	3.3	NUM
fcis-26478	61	2	.	.	PUNCT
fcis-26478	62	1	new	new	ADJ
fcis-26478	62	2	evolutionary	evolutionary	ADJ
fcis-26478	62	3	paradigms	paradigm	NOUN
fcis-26478	62	4	based	base	VERB
fcis-26478	62	5	mmoeas	mmoea	NOUN
fcis-26478	62	6	this	this	DET
fcis-26478	62	7	type	type	NOUN
fcis-26478	62	8	of	of	ADP
fcis-26478	62	9	algorithm	algorithm	NOUN
fcis-26478	62	10	involves	involve	VERB
fcis-26478	62	11	transplanting	transplant	VERB
fcis-26478	62	12	highperformance	highperformance	NOUN
fcis-26478	62	13	evolutionary	evolutionary	ADJ
fcis-26478	62	14	algorithms	algorithm	NOUN
fcis-26478	62	15	and	and	CCONJ
fcis-26478	62	16	swarm	swarm	NOUN
fcis-26478	62	17	intelligence	intelligence	NOUN
fcis-26478	62	18	algorithms	algorithm	NOUN
fcis-26478	62	19	into	into	ADP
fcis-26478	62	20	solving	solve	VERB
fcis-26478	62	21	multimodal	multimodal	ADJ
fcis-26478	62	22	multi	multi	ADJ
fcis-26478	62	23	-	-	ADJ
fcis-26478	62	24	objective	objective	ADJ
fcis-26478	62	25	optimization	optimization	NOUN
fcis-26478	62	26	problems	problem	NOUN
fcis-26478	62	27	.	.	PUNCT
fcis-26478	63	1	representative	representative	ADJ
fcis-26478	63	2	algorithms	algorithm	NOUN
fcis-26478	63	3	are	be	AUX
fcis-26478	63	4	described	describe	VERB
fcis-26478	63	5	below	below	ADV
fcis-26478	63	6	.	.	PUNCT
fcis-26478	64	1	mmode	mmode	PROPN
fcis-26478	65	1	[	[	X
fcis-26478	65	2	19	19	NUM
fcis-26478	65	3	]	]	PUNCT
fcis-26478	65	4	adds	add	VERB
fcis-26478	65	5	individual	individual	ADJ
fcis-26478	65	6	pre	pre	NOUN
fcis-26478	65	7	selection	selection	NOUN
fcis-26478	65	8	mechanism	mechanism	NOUN
fcis-26478	65	9	and	and	CCONJ
fcis-26478	65	10	mutation	mutation	NOUN
fcis-26478	65	11	boundary	boundary	ADJ
fcis-26478	65	12	processing	processing	NOUN
fcis-26478	65	13	method	method	NOUN
fcis-26478	65	14	on	on	ADP
fcis-26478	65	15	the	the	DET
fcis-26478	65	16	basis	basis	NOUN
fcis-26478	65	17	of	of	ADP
fcis-26478	65	18	standard	standard	ADJ
fcis-26478	65	19	difference	difference	NOUN
fcis-26478	65	20	evolution	evolution	NOUN
fcis-26478	65	21	algorithm	algorithm	NOUN
fcis-26478	65	22	to	to	PART
fcis-26478	65	23	increase	increase	VERB
fcis-26478	65	24	the	the	DET
fcis-26478	65	25	diversity	diversity	NOUN
fcis-26478	65	26	of	of	ADP
fcis-26478	65	27	solutions	solution	NOUN
fcis-26478	65	28	.	.	PUNCT
fcis-26478	66	1	select	select	VERB
fcis-26478	66	2	superior	superior	ADJ
fcis-26478	66	3	individuals	individual	NOUN
fcis-26478	66	4	through	through	ADP
fcis-26478	66	5	crossover	crossover	NOUN
fcis-26478	66	6	and	and	CCONJ
fcis-26478	66	7	selection	selection	NOUN
fcis-26478	66	8	mechanisms	mechanism	NOUN
fcis-26478	66	9	to	to	PART
fcis-26478	66	10	participate	participate	VERB
fcis-26478	66	11	in	in	ADP
fcis-26478	66	12	evolution	evolution	NOUN
fcis-26478	66	13	until	until	SCONJ
fcis-26478	66	14	all	all	DET
fcis-26478	66	15	optimal	optimal	ADJ
fcis-26478	66	16	solutions	solution	NOUN
fcis-26478	66	17	are	be	AUX
fcis-26478	66	18	found	find	VERB
fcis-26478	66	19	.	.	PUNCT
fcis-26478	67	1	in	in	ADP
fcis-26478	67	2	[	[	X
fcis-26478	67	3	20	20	NUM
fcis-26478	67	4	]	]	PUNCT
fcis-26478	67	5	,	,	PUNCT
fcis-26478	67	6	cnmm	cnmm	PROPN
fcis-26478	67	7	which	which	PRON
fcis-26478	67	8	uses	use	VERB
fcis-26478	67	9	particle	particle	NOUN
fcis-26478	67	10	swarm	swarm	NOUN
fcis-26478	67	11	optimization	optimization	NOUN
fcis-26478	67	12	algorithm	algorithm	NOUN
fcis-26478	67	13	to	to	PART
fcis-26478	67	14	obtain	obtain	VERB
fcis-26478	67	15	the	the	DET
fcis-26478	67	16	next	next	ADJ
fcis-26478	67	17	generation	generation	NOUN
fcis-26478	67	18	evolutionary	evolutionary	ADJ
fcis-26478	67	19	population	population	NOUN
fcis-26478	67	20	,	,	PUNCT
fcis-26478	67	21	adopts	adopt	VERB
fcis-26478	67	22	improved	improved	ADJ
fcis-26478	67	23	differential	differential	ADJ
fcis-26478	67	24	evolution	evolution	NOUN
fcis-26478	67	25	strategy	strategy	NOUN
fcis-26478	67	26	to	to	PART
fcis-26478	67	27	expand	expand	VERB
fcis-26478	67	28	the	the	DET
fcis-26478	67	29	search	search	NOUN
fcis-26478	67	30	range	range	NOUN
fcis-26478	67	31	,	,	PUNCT
fcis-26478	67	32	and	and	CCONJ
fcis-26478	67	33	uses	use	VERB
fcis-26478	67	34	nearest	near	ADJ
fcis-26478	67	35	neighbor	neighbor	PROPN
fcis-26478	67	36	movement	movement	NOUN
fcis-26478	67	37	strategy	strategy	NOUN
fcis-26478	67	38	to	to	PART
fcis-26478	67	39	make	make	VERB
fcis-26478	67	40	particles	particle	NOUN
fcis-26478	67	41	approach	approach	VERB
fcis-26478	67	42	the	the	DET
fcis-26478	67	43	optimal	optimal	ADJ
fcis-26478	67	44	solution	solution	NOUN
fcis-26478	67	45	and	and	CCONJ
fcis-26478	67	46	evolve	evolve	VERB
fcis-26478	67	47	locally	locally	ADV
fcis-26478	67	48	,	,	PUNCT
fcis-26478	67	49	thus	thus	ADV
fcis-26478	67	50	achieving	achieve	VERB
fcis-26478	67	51	the	the	DET
fcis-26478	67	52	goal	goal	NOUN
fcis-26478	67	53	of	of	ADP
fcis-26478	67	54	optimization	optimization	NOUN
fcis-26478	67	55	.	.	PUNCT
fcis-26478	68	1	in	in	ADP
fcis-26478	68	2	[	[	X
fcis-26478	68	3	21	21	NUM
fcis-26478	68	4	]	]	PUNCT
fcis-26478	68	5	,	,	PUNCT
fcis-26478	68	6	trimoea	trimoea	ADJ
fcis-26478	68	7	-	-	PUNCT
fcis-26478	68	8	ta&r	ta&r	ADJ
fcis-26478	68	9	algorithm	algorithm	NOUN
fcis-26478	68	10	adopts	adopt	VERB
fcis-26478	68	11	an	an	DET
fcis-26478	68	12	evolutionary	evolutionary	ADJ
fcis-26478	68	13	algorithm	algorithm	NOUN
fcis-26478	68	14	based	base	VERB
fcis-26478	68	15	on	on	ADP
fcis-26478	68	16	two	two	NUM
fcis-26478	68	17	profiles	profile	NOUN
fcis-26478	68	18	and	and	CCONJ
fcis-26478	68	19	a	a	DET
fcis-26478	68	20	recombination	recombination	NOUN
fcis-26478	68	21	strategy	strategy	NOUN
fcis-26478	68	22	.	.	PUNCT
fcis-26478	69	1	it	it	PRON
fcis-26478	69	2	uses	use	VERB
fcis-26478	69	3	clustering	cluster	VERB
fcis-26478	69	4	to	to	PART
fcis-26478	69	5	maintain	maintain	VERB
fcis-26478	69	6	diversity	diversity	NOUN
fcis-26478	69	7	profiles	profile	NOUN
fcis-26478	69	8	and	and	CCONJ
fcis-26478	69	9	employs	employ	VERB
fcis-26478	69	10	niche	niche	NOUN
fcis-26478	69	11	techniques	technique	NOUN
fcis-26478	69	12	to	to	PART
fcis-26478	69	13	maintain	maintain	VERB
fcis-26478	69	14	diversity	diversity	NOUN
fcis-26478	69	15	in	in	ADP
fcis-26478	69	16	the	the	DET
fcis-26478	69	17	solution	solution	NOUN
fcis-26478	69	18	set	set	VERB
fcis-26478	69	19	.	.	PUNCT
fcis-26478	70	1	the	the	DET
fcis-26478	70	2	convergence	convergence	NOUN
fcis-26478	70	3	profile	profile	NOUN
fcis-26478	70	4	and	and	CCONJ
fcis-26478	70	5	diversity	diversity	NOUN
fcis-26478	70	6	profile	profile	NOUN
fcis-26478	70	7	are	be	AUX
fcis-26478	70	8	recombined	recombined	ADJ
fcis-26478	70	9	to	to	PART
fcis-26478	70	10	locate	locate	VERB
fcis-26478	70	11	multiple	multiple	ADJ
fcis-26478	70	12	optimal	optimal	ADJ
fcis-26478	70	13	solutions	solution	NOUN
fcis-26478	70	14	.	.	PUNCT
fcis-26478	71	1	mmo	mmo	ADJ
fcis-26478	71	2	-	-	PUNCT
fcis-26478	71	3	clrpso	clrpso	NOUN
fcis-26478	72	1	[	[	X
fcis-26478	72	2	22	22	NUM
fcis-26478	72	3	]	]	PUNCT
fcis-26478	72	4	adopts	adopt	VERB
fcis-26478	72	5	a	a	DET
fcis-26478	72	6	new	new	ADJ
fcis-26478	72	7	decision	decision	NOUN
fcis-26478	72	8	variable	variable	ADJ
fcis-26478	72	9	clustering	clustering	NOUN
fcis-26478	72	10	method	method	NOUN
fcis-26478	72	11	to	to	PART
fcis-26478	72	12	form	form	VERB
fcis-26478	72	13	multiple	multiple	ADJ
fcis-26478	72	14	subpopulations	subpopulation	NOUN
fcis-26478	72	15	,	,	PUNCT
fcis-26478	72	16	uses	use	VERB
fcis-26478	72	17	particle	particle	NOUN
fcis-26478	72	18	swarm	swarm	NOUN
fcis-26478	72	19	optimization	optimization	NOUN
fcis-26478	72	20	algorithm	algorithm	NOUN
fcis-26478	72	21	to	to	PART
fcis-26478	72	22	evolve	evolve	VERB
fcis-26478	72	23	the	the	DET
fcis-26478	72	24	subpopulations	subpopulation	NOUN
fcis-26478	72	25	separately	separately	ADV
fcis-26478	72	26	,	,	PUNCT
fcis-26478	72	27	and	and	CCONJ
fcis-26478	72	28	uses	use	VERB
fcis-26478	72	29	a	a	DET
fcis-26478	72	30	ring	ring	NOUN
fcis-26478	72	31	topology	topology	NOUN
fcis-26478	72	32	structure	structure	NOUN
fcis-26478	72	33	to	to	PART
fcis-26478	72	34	enhance	enhance	VERB
fcis-26478	72	35	the	the	DET
fcis-26478	72	36	information	information	NOUN
fcis-26478	72	37	exchange	exchange	NOUN
fcis-26478	72	38	ability	ability	NOUN
fcis-26478	72	39	between	between	ADP
fcis-26478	72	40	subpopulations	subpopulation	NOUN
fcis-26478	72	41	,	,	PUNCT
fcis-26478	72	42	in	in	ADP
fcis-26478	72	43	order	order	NOUN
fcis-26478	72	44	to	to	PART
fcis-26478	72	45	find	find	VERB
fcis-26478	72	46	multiple	multiple	ADJ
fcis-26478	72	47	pareto	pareto	ADJ
fcis-26478	72	48	optimal	optimal	ADJ
fcis-26478	72	49	solutions	solution	NOUN
fcis-26478	72	50	.	.	PUNCT
fcis-26478	73	1	yao	yao	PROPN
fcis-26478	73	2	et	et	PROPN
fcis-26478	73	3	al	al	PROPN
fcis-26478	73	4	.	.	PUNCT
fcis-26478	74	1	[	[	X
fcis-26478	74	2	23	23	NUM
fcis-26478	74	3	]	]	PUNCT
fcis-26478	74	4	proposed	propose	VERB
fcis-26478	74	5	an	an	DET
fcis-26478	74	6	effective	effective	ADJ
fcis-26478	74	7	multi	multi	ADJ
fcis-26478	74	8	-	-	ADJ
fcis-26478	74	9	objective	objective	ADJ
fcis-26478	74	10	evolutionary	evolutionary	ADJ
fcis-26478	74	11	algorithm	algorithm	NOUN
fcis-26478	74	12	based	base	VERB
fcis-26478	74	13	on	on	ADP
fcis-26478	74	14	special	special	ADJ
fcis-26478	74	15	environment	environment	NOUN
fcis-26478	74	16	selection	selection	NOUN
fcis-26478	74	17	,	,	PUNCT
fcis-26478	74	18	which	which	PRON
fcis-26478	74	19	adopts	adopt	VERB
fcis-26478	74	20	a	a	DET
fcis-26478	74	21	special	special	ADJ
fcis-26478	74	22	environment	environment	NOUN
fcis-26478	74	23	selection	selection	NOUN
fcis-26478	74	24	strategy	strategy	NOUN
fcis-26478	74	25	to	to	PART
fcis-26478	74	26	select	select	VERB
fcis-26478	74	27	offspring	offspring	NOUN
fcis-26478	74	28	and	and	CCONJ
fcis-26478	74	29	maintain	maintain	VERB
fcis-26478	74	30	diversity	diversity	NOUN
fcis-26478	74	31	.	.	PUNCT
fcis-26478	75	1	in	in	ADP
fcis-26478	75	2	[	[	X
fcis-26478	75	3	24	24	NUM
fcis-26478	75	4	]	]	PUNCT
fcis-26478	75	5	,	,	PUNCT
fcis-26478	75	6	a	a	DET
fcis-26478	75	7	new	new	ADJ
fcis-26478	75	8	multi	multi	ADJ
fcis-26478	75	9	-	-	ADJ
fcis-26478	75	10	stage	stage	ADJ
fcis-26478	75	11	evolutionary	evolutionary	ADJ
fcis-26478	75	12	algorithm	algorithm	NOUN
fcis-26478	75	13	with	with	ADP
fcis-26478	75	14	two	two	NUM
fcis-26478	75	15	improved	improved	ADJ
fcis-26478	75	16	optimization	optimization	NOUN
fcis-26478	75	17	strategies	strategy	NOUN
fcis-26478	75	18	has	have	AUX
fcis-26478	75	19	been	be	AUX
fcis-26478	75	20	proposed	propose	VERB
fcis-26478	75	21	.	.	PUNCT
fcis-26478	76	1	firstly	firstly	ADV
fcis-26478	76	2	,	,	PUNCT
fcis-26478	76	3	the	the	DET
fcis-26478	76	4	decision	decision	NOUN
fcis-26478	76	5	space	space	NOUN
fcis-26478	76	6	is	be	AUX
fcis-26478	76	7	explored	explore	VERB
fcis-26478	76	8	to	to	PART
fcis-26478	76	9	detect	detect	VERB
fcis-26478	76	10	multiple	multiple	ADJ
fcis-26478	76	11	pss	pss	PROPN
fcis-26478	76	12	,	,	PUNCT
fcis-26478	76	13	and	and	CCONJ
fcis-26478	76	14	then	then	ADV
fcis-26478	76	15	the	the	DET
fcis-26478	76	16	diversity	diversity	NOUN
fcis-26478	76	17	of	of	ADP
fcis-26478	76	18	solutions	solution	NOUN
fcis-26478	76	19	is	be	AUX
fcis-26478	76	20	enhanced	enhance	VERB
fcis-26478	76	21	through	through	ADP
fcis-26478	76	22	the	the	DET
fcis-26478	76	23	utilization	utilization	NOUN
fcis-26478	76	24	of	of	ADP
fcis-26478	76	25	historical	historical	ADJ
fcis-26478	76	26	individuals	individual	NOUN
fcis-26478	76	27	and	and	CCONJ
fcis-26478	76	28	new	new	ADJ
fcis-26478	76	29	differential	differential	NOUN
fcis-26478	76	30	evolution	evolution	NOUN
fcis-26478	76	31	designs	design	NOUN
fcis-26478	76	32	.	.	PUNCT
fcis-26478	77	1	an	an	DET
fcis-26478	77	2	improved	improve	VERB
fcis-26478	77	3	de	de	NOUN
fcis-26478	77	4	operator	operator	NOUN
fcis-26478	77	5	is	be	AUX
fcis-26478	77	6	designed	design	VERB
fcis-26478	77	7	to	to	PART
fcis-26478	77	8	push	push	VERB
fcis-26478	77	9	individuals	individual	NOUN
fcis-26478	77	10	from	from	ADP
fcis-26478	77	11	crowded	crowded	ADJ
fcis-26478	77	12	areas	area	NOUN
fcis-26478	77	13	to	to	PART
fcis-26478	77	14	sparse	sparse	VERB
fcis-26478	77	15	and	and	CCONJ
fcis-26478	77	16	undetected	undetected	ADJ
fcis-26478	77	17	areas	area	NOUN
fcis-26478	77	18	in	in	ADP
fcis-26478	77	19	the	the	DET
fcis-26478	77	20	decision	decision	NOUN
fcis-26478	77	21	space	space	NOUN
fcis-26478	77	22	.	.	PUNCT
fcis-26478	78	1	this	this	DET
fcis-26478	78	2	type	type	NOUN
fcis-26478	78	3	of	of	ADP
fcis-26478	78	4	algorithm	algorithm	NOUN
fcis-26478	78	5	can	can	AUX
fcis-26478	78	6	fully	fully	ADV
fcis-26478	78	7	utilize	utilize	VERB
fcis-26478	78	8	the	the	DET
fcis-26478	78	9	advantages	advantage	NOUN
fcis-26478	78	10	of	of	ADP
fcis-26478	78	11	evolutionary	evolutionary	ADJ
fcis-26478	78	12	algorithms	algorithm	NOUN
fcis-26478	78	13	and	and	CCONJ
fcis-26478	78	14	swarm	swarm	NOUN
fcis-26478	78	15	intelligence	intelligence	NOUN
fcis-26478	78	16	algorithms	algorithm	NOUN
fcis-26478	78	17	to	to	PART
fcis-26478	78	18	find	find	VERB
fcis-26478	78	19	more	more	ADJ
fcis-26478	78	20	and	and	CCONJ
fcis-26478	78	21	better	well	ADV
fcis-26478	78	22	distributed	distribute	VERB
fcis-26478	78	23	optimal	optimal	ADJ
fcis-26478	78	24	solution	solution	NOUN
fcis-26478	78	25	sets	set	NOUN
fcis-26478	78	26	,	,	PUNCT
fcis-26478	78	27	achieving	achieve	VERB
fcis-26478	78	28	better	well	ADJ
fcis-26478	78	29	results	result	NOUN
fcis-26478	78	30	.	.	PUNCT
fcis-26478	79	1	4	4	X
fcis-26478	79	2	.	.	X
fcis-26478	79	3	benchmark	benchmark	NOUN
fcis-26478	79	4	problems	problem	NOUN
fcis-26478	79	5	and	and	CCONJ
fcis-26478	79	6	evaluation	evaluation	NOUN
fcis-26478	79	7	metrics	metric	NOUN
fcis-26478	79	8	4.1	4.1	NUM
fcis-26478	79	9	.	.	PUNCT
fcis-26478	80	1	benchmark	benchmark	NOUN
fcis-26478	80	2	problems	problem	NOUN
fcis-26478	80	3	in	in	ADP
fcis-26478	80	4	the	the	DET
fcis-26478	80	5	process	process	NOUN
fcis-26478	80	6	of	of	ADP
fcis-26478	80	7	researching	research	VERB
fcis-26478	80	8	algorithms	algorithm	NOUN
fcis-26478	80	9	,	,	PUNCT
fcis-26478	80	10	in	in	ADP
fcis-26478	80	11	order	order	NOUN
fcis-26478	80	12	to	to	PART
fcis-26478	80	13	evaluate	evaluate	VERB
fcis-26478	80	14	the	the	DET
fcis-26478	80	15	performance	performance	NOUN
fcis-26478	80	16	of	of	ADP
fcis-26478	80	17	multimodal	multimodal	ADJ
fcis-26478	80	18	multi	multi	ADJ
fcis-26478	80	19	-	-	ADJ
fcis-26478	80	20	objective	objective	ADJ
fcis-26478	80	21	algorithms	algorithm	NOUN
fcis-26478	80	22	,	,	PUNCT
fcis-26478	80	23	researchers	researcher	NOUN
fcis-26478	80	24	have	have	AUX
fcis-26478	80	25	designed	design	VERB
fcis-26478	80	26	some	some	DET
fcis-26478	80	27	test	test	NOUN
fcis-26478	80	28	questions	question	NOUN
fcis-26478	80	29	covering	cover	VERB
fcis-26478	80	30	different	different	ADJ
fcis-26478	80	31	features	feature	NOUN
fcis-26478	80	32	to	to	PART
fcis-26478	80	33	verify	verify	VERB
fcis-26478	80	34	the	the	DET
fcis-26478	80	35	performance	performance	NOUN
fcis-26478	80	36	of	of	ADP
fcis-26478	80	37	the	the	DET
fcis-26478	80	38	algorithms	algorithm	NOUN
fcis-26478	80	39	.	.	PUNCT
fcis-26478	81	1	at	at	ADP
fcis-26478	81	2	present	present	ADJ
fcis-26478	81	3	,	,	PUNCT
fcis-26478	81	4	scholars	scholar	NOUN
fcis-26478	81	5	have	have	AUX
fcis-26478	81	6	conducted	conduct	VERB
fcis-26478	81	7	more	more	ADJ
fcis-26478	81	8	research	research	NOUN
fcis-26478	81	9	on	on	ADP
fcis-26478	81	10	the	the	DET
fcis-26478	81	11	pareto	pareto	ADJ
fcis-26478	81	12	solution	solution	NOUN
fcis-26478	81	13	set	set	VERB
fcis-26478	81	14	of	of	ADP
fcis-26478	81	15	the	the	DET
fcis-26478	81	16	target	target	NOUN
fcis-26478	81	17	space	space	NOUN
fcis-26478	81	18	,	,	PUNCT
fcis-26478	81	19	while	while	SCONJ
fcis-26478	81	20	there	there	PRON
fcis-26478	81	21	is	be	VERB
fcis-26478	81	22	less	less	ADJ
fcis-26478	81	23	research	research	NOUN
fcis-26478	81	24	on	on	ADP
fcis-26478	81	25	the	the	DET
fcis-26478	81	26	pareto	pareto	ADJ
fcis-26478	81	27	solution	solution	NOUN
fcis-26478	81	28	set	set	VERB
fcis-26478	81	29	of	of	ADP
fcis-26478	81	30	the	the	DET
fcis-26478	81	31	decision	decision	NOUN
fcis-26478	81	32	space	space	NOUN
fcis-26478	81	33	.	.	PUNCT
fcis-26478	82	1	in	in	ADP
fcis-26478	82	2	order	order	NOUN
fcis-26478	82	3	to	to	PART
fcis-26478	82	4	test	test	VERB
fcis-26478	82	5	the	the	DET
fcis-26478	82	6	importance	importance	NOUN
fcis-26478	82	7	of	of	ADP
fcis-26478	82	8	pareto	pareto	ADJ
fcis-26478	82	9	solution	solution	NOUN
fcis-26478	82	10	sets	set	NOUN
fcis-26478	82	11	,	,	PUNCT
fcis-26478	82	12	researchers	researcher	NOUN
fcis-26478	82	13	designed	design	VERB
fcis-26478	82	14	test	test	NOUN
fcis-26478	82	15	functions	function	NOUN
fcis-26478	82	16	with	with	ADP
fcis-26478	82	17	complex	complex	ADJ
fcis-26478	82	18	shaped	shape	VERB
fcis-26478	82	19	pareto	pareto	NOUN
fcis-26478	82	20	solution	solution	NOUN
fcis-26478	82	21	sets	set	VERB
fcis-26478	82	22	that	that	PRON
fcis-26478	82	23	possess	possess	VERB
fcis-26478	82	24	the	the	DET
fcis-26478	82	25	characteristics	characteristic	NOUN
fcis-26478	82	26	of	of	ADP
fcis-26478	82	27	multiple	multiple	ADJ
fcis-26478	82	28	local	local	ADJ
fcis-26478	82	29	and	and	CCONJ
fcis-26478	82	30	global	global	ADJ
fcis-26478	82	31	pareto	pareto	ADJ
fcis-26478	82	32	optimal	optimal	ADJ
fcis-26478	82	33	solution	solution	NOUN
fcis-26478	82	34	sets	set	NOUN
fcis-26478	82	35	.	.	PUNCT
fcis-26478	83	1	the	the	DET
fcis-26478	83	2	most	most	ADV
fcis-26478	83	3	commonly	commonly	ADV
fcis-26478	83	4	used	use	VERB
fcis-26478	83	5	test	test	NOUN
fcis-26478	83	6	set	set	VERB
fcis-26478	83	7	is	be	AUX
fcis-26478	83	8	currently	currently	ADV
fcis-26478	83	9	the	the	DET
fcis-26478	83	10	one	one	NUM
fcis-26478	83	11	from	from	ADP
fcis-26478	83	12	the	the	DET
fcis-26478	83	13	2019	2019	NUM
fcis-26478	83	14	cec	cec	PROPN
fcis-26478	83	15	competition	competition	NOUN
fcis-26478	83	16	[	[	X
fcis-26478	83	17	25	25	NUM
fcis-26478	83	18	]	]	PUNCT
fcis-26478	83	19	,	,	PUNCT
fcis-26478	83	20	which	which	PRON
fcis-26478	83	21	is	be	AUX
fcis-26478	83	22	scalable	scalable	ADJ
fcis-26478	83	23	in	in	ADP
fcis-26478	83	24	both	both	CCONJ
fcis-26478	83	25	objective	objective	ADJ
fcis-26478	83	26	and	and	CCONJ
fcis-26478	83	27	decision	decision	NOUN
fcis-26478	83	28	variables	variable	NOUN
fcis-26478	83	29	.	.	PUNCT
fcis-26478	84	1	mmf1	mmf1	PROPN
fcis-26478	84	2	-	-	PUNCT
fcis-26478	84	3	13	13	NUM
fcis-26478	84	4	,	,	PUNCT
fcis-26478	84	5	mmf1_z	mmf1_z	NOUN
fcis-26478	84	6	,	,	PUNCT
fcis-26478	84	7	mmf1	mmf1	PROPN
fcis-26478	84	8	-	-	PUNCT
fcis-26478	84	9	e	e	PROPN
fcis-26478	84	10	,	,	PUNCT
fcis-26478	84	11	sym	sym	NOUN
fcis-26478	84	12	-	-	PUNCT
fcis-26478	84	13	part_simple	part_simple	PROPN
fcis-26478	84	14	,	,	PUNCT
fcis-26478	84	15	sym	sym	NOUN
fcis-26478	84	16	-	-	PUNCT
fcis-26478	84	17	part_rotated	part_rotated	ADJ
fcis-26478	84	18	,	,	PUNCT
fcis-26478	84	19	and	and	CCONJ
fcis-26478	84	20	omni_test	omni_t	ADJ
fcis-26478	84	21	are	be	AUX
fcis-26478	84	22	dual	dual	ADJ
fcis-26478	84	23	objective	objective	ADJ
fcis-26478	84	24	functions	function	NOUN
fcis-26478	84	25	,	,	PUNCT
fcis-26478	84	26	while	while	SCONJ
fcis-26478	84	27	mmf14	mmf14	NOUN
fcis-26478	84	28	-	-	PUNCT
fcis-26478	84	29	15	15	NUM
fcis-26478	84	30	,	,	PUNCT
fcis-26478	84	31	mmf14_a	mmf14_a	NOUN
fcis-26478	84	32	,	,	PUNCT
fcis-26478	84	33	and	and	CCONJ
fcis-26478	84	34	mmf15_a	mmf15_a	NOUN
fcis-26478	84	35	are	be	AUX
fcis-26478	84	36	triple	triple	ADJ
fcis-26478	84	37	objective	objective	ADJ
fcis-26478	84	38	functions	function	NOUN
fcis-26478	84	39	;	;	PUNCT
fcis-26478	84	40	the	the	DET
fcis-26478	84	41	dimensions	dimension	NOUN
fcis-26478	84	42	of	of	ADP
fcis-26478	84	43	mmf1	mmf1	PROPN
fcis-26478	84	44	-	-	PUNCT
fcis-26478	84	45	12	12	NUM
fcis-26478	84	46	,	,	PUNCT
fcis-26478	84	47	mmf1_z	mmf1_z	NOUN
fcis-26478	84	48	,	,	PUNCT
fcis-26478	84	49	mmf1	mmf1	PROPN
fcis-26478	84	50	-	-	PUNCT
fcis-26478	84	51	e	e	PROPN
fcis-26478	84	52	,	,	PUNCT
fcis-26478	84	53	sym	sym	NOUN
fcis-26478	84	54	-	-	PUNCT
fcis-26478	84	55	part_simple	part_simple	PROPN
fcis-26478	84	56	,	,	PUNCT
fcis-26478	84	57	and	and	CCONJ
fcis-26478	84	58	sympart_rotated	sympart_rotate	VERB
fcis-26478	84	59	are	be	AUX
fcis-26478	84	60	2	2	NUM
fcis-26478	84	61	dimensions	dimension	NOUN
fcis-26478	84	62	,	,	PUNCT
fcis-26478	84	63	while	while	SCONJ
fcis-26478	84	64	the	the	DET
fcis-26478	84	65	dimensions	dimension	NOUN
fcis-26478	84	66	of	of	ADP
fcis-26478	84	67	mmf13	mmf13	PROPN
fcis-26478	84	68	-	-	PUNCT
fcis-26478	84	69	15	15	NUM
fcis-26478	84	70	,	,	PUNCT
fcis-26478	84	71	mmf14_a	mmf14_a	NOUN
fcis-26478	84	72	,	,	PUNCT
fcis-26478	84	73	mmf15_a	mmf15_a	NOUN
fcis-26478	84	74	,	,	PUNCT
fcis-26478	84	75	and	and	CCONJ
fcis-26478	84	76	omni_test	omni_t	ADJ
fcis-26478	84	77	are	be	AUX
fcis-26478	84	78	3	3	NUM
fcis-26478	84	79	dimensions	dimension	NOUN
fcis-26478	84	80	.	.	PUNCT
fcis-26478	85	1	4.2	4.2	NUM
fcis-26478	85	2	.	.	PUNCT
fcis-26478	85	3	evaluation	evaluation	NOUN
fcis-26478	85	4	metrics	metric	NOUN
fcis-26478	85	5	evaluation	evaluation	NOUN
fcis-26478	85	6	indicators	indicator	NOUN
fcis-26478	85	7	can	can	AUX
fcis-26478	85	8	quantify	quantify	VERB
fcis-26478	85	9	the	the	DET
fcis-26478	85	10	performance	performance	NOUN
fcis-26478	85	11	of	of	ADP
fcis-26478	85	12	different	different	ADJ
fcis-26478	85	13	algorithms	algorithm	NOUN
fcis-26478	85	14	and	and	CCONJ
fcis-26478	85	15	play	play	VERB
fcis-26478	85	16	a	a	DET
fcis-26478	85	17	very	very	ADV
fcis-26478	85	18	important	important	ADJ
fcis-26478	85	19	role	role	NOUN
fcis-26478	85	20	in	in	ADP
fcis-26478	85	21	algorithm	algorithm	NOUN
fcis-26478	85	22	evaluation	evaluation	NOUN
fcis-26478	85	23	and	and	CCONJ
fcis-26478	85	24	comparison	comparison	NOUN
fcis-26478	85	25	the	the	DET
fcis-26478	85	26	commonly	commonly	ADV
fcis-26478	85	27	used	use	VERB
fcis-26478	85	28	evaluation	evaluation	NOUN
fcis-26478	85	29	metrics	metric	NOUN
fcis-26478	85	30	for	for	ADP
fcis-26478	85	31	multi	multi	ADJ
fcis-26478	85	32	-	-	ADJ
fcis-26478	85	33	objective	objective	ADJ
fcis-26478	85	34	algorithms	algorithm	NOUN
fcis-26478	85	35	can	can	AUX
fcis-26478	85	36	only	only	ADV
fcis-26478	85	37	measure	measure	VERB
fcis-26478	85	38	the	the	DET
fcis-26478	85	39	distribution	distribution	NOUN
fcis-26478	85	40	of	of	ADP
fcis-26478	85	41	the	the	DET
fcis-26478	85	42	population	population	NOUN
fcis-26478	85	43	in	in	ADP
fcis-26478	85	44	the	the	DET
fcis-26478	85	45	target	target	NOUN
fcis-26478	85	46	space	space	NOUN
fcis-26478	85	47	,	,	PUNCT
fcis-26478	85	48	but	but	CCONJ
fcis-26478	85	49	can	can	AUX
fcis-26478	85	50	not	not	PART
fcis-26478	85	51	effectively	effectively	ADV
fcis-26478	85	52	measure	measure	VERB
fcis-26478	85	53	the	the	DET
fcis-26478	85	54	distribution	distribution	NOUN
fcis-26478	85	55	of	of	ADP
fcis-26478	85	56	the	the	DET
fcis-26478	85	57	population	population	NOUN
fcis-26478	85	58	in	in	ADP
fcis-26478	85	59	the	the	DET
fcis-26478	85	60	decision	decision	NOUN
fcis-26478	85	61	space	space	NOUN
fcis-26478	85	62	.	.	PUNCT
fcis-26478	86	1	therefore	therefore	ADV
fcis-26478	86	2	,	,	PUNCT
fcis-26478	86	3	new	new	ADJ
fcis-26478	86	4	evaluation	evaluation	NOUN
fcis-26478	86	5	metrics	metric	NOUN
fcis-26478	86	6	are	be	AUX
fcis-26478	86	7	needed	need	VERB
fcis-26478	86	8	to	to	PART
fcis-26478	86	9	evaluate	evaluate	VERB
fcis-26478	86	10	different	different	ADJ
fcis-26478	86	11	multimodal	multimodal	ADJ
fcis-26478	86	12	multiobjective	multiobjective	ADJ
fcis-26478	86	13	algorithms	algorithm	NOUN
fcis-26478	86	14	.	.	PUNCT
fcis-26478	87	1	in	in	ADP
fcis-26478	87	2	order	order	NOUN
fcis-26478	87	3	to	to	PART
fcis-26478	87	4	better	well	ADV
fcis-26478	87	5	evaluate	evaluate	VERB
fcis-26478	87	6	the	the	DET
fcis-26478	87	7	performance	performance	NOUN
fcis-26478	87	8	of	of	ADP
fcis-26478	87	9	multimodal	multimodal	ADJ
fcis-26478	87	10	multi	multi	ADJ
fcis-26478	87	11	-	-	ADJ
fcis-26478	87	12	objective	objective	ADJ
fcis-26478	87	13	optimization	optimization	NOUN
fcis-26478	87	14	algorithms	algorithm	NOUN
fcis-26478	87	15	and	and	CCONJ
fcis-26478	87	16	reflect	reflect	VERB
fcis-26478	87	17	the	the	DET
fcis-26478	87	18	distribution	distribution	NOUN
fcis-26478	87	19	of	of	ADP
fcis-26478	87	20	pareto	pareto	ADJ
fcis-26478	87	21	optimal	optimal	ADJ
fcis-26478	87	22	solution	solution	NOUN
fcis-26478	87	23	sets	set	NOUN
fcis-26478	87	24	,	,	PUNCT
fcis-26478	87	25	this	this	DET
fcis-26478	87	26	article	article	NOUN
fcis-26478	87	27	introduces	introduce	VERB
fcis-26478	87	28	commonly	commonly	ADV
fcis-26478	87	29	used	use	VERB
fcis-26478	87	30	evaluation	evaluation	NOUN
fcis-26478	87	31	metrics	metric	NOUN
fcis-26478	87	32	for	for	ADP
fcis-26478	87	33	multimodal	multimodal	ADJ
fcis-26478	87	34	multi	multi	ADJ
fcis-26478	87	35	-	-	ADJ
fcis-26478	87	36	objective	objective	ADJ
fcis-26478	87	37	algorithms	algorithm	NOUN
fcis-26478	87	38	,	,	PUNCT
fcis-26478	87	39	including	include	VERB
fcis-26478	87	40	hypervolume	hypervolume	NOUN
fcis-26478	87	41	indicator	indicator	NOUN
fcis-26478	87	42	(	(	PUNCT
fcis-26478	87	43	hv	hv	X
fcis-26478	87	44	)	)	PUNCT
fcis-26478	88	1	[	[	X
fcis-26478	88	2	26	26	NUM
fcis-26478	88	3	]	]	PUNCT
fcis-26478	88	4	,	,	PUNCT
fcis-26478	88	5	inverse	inverse	ADJ
fcis-26478	88	6	generative	generative	ADJ
fcis-26478	88	7	distance	distance	NOUN
fcis-26478	88	8	in	in	ADP
fcis-26478	88	9	the	the	DET
fcis-26478	88	10	decision	decision	NOUN
fcis-26478	88	11	space	space	NOUN
fcis-26478	88	12	(	(	PUNCT
fcis-26478	88	13	igdx	igdx	NOUN
fcis-26478	88	14	)	)	PUNCT
fcis-26478	89	1	[	[	X
fcis-26478	89	2	27	27	NUM
fcis-26478	89	3	]	]	PUNCT
fcis-26478	89	4	,	,	PUNCT
fcis-26478	89	5	and	and	CCONJ
fcis-26478	89	6	pareto	pareto	ADJ
fcis-26478	89	7	set	set	VERB
fcis-26478	89	8	proximity	proximity	NOUN
fcis-26478	89	9	(	(	PUNCT
fcis-26478	89	10	psp	psp	NOUN
fcis-26478	89	11	)	)	PUNCT
fcis-26478	89	12	.	.	PUNCT
fcis-26478	90	1	the	the	DET
fcis-26478	90	2	hv	hv	PROPN
fcis-26478	90	3	index	index	NOUN
fcis-26478	90	4	is	be	AUX
fcis-26478	90	5	used	use	VERB
fcis-26478	90	6	to	to	PART
fcis-26478	90	7	measure	measure	VERB
fcis-26478	90	8	the	the	DET
fcis-26478	90	9	distance	distance	NOUN
fcis-26478	90	10	between	between	ADP
fcis-26478	90	11	the	the	DET
fcis-26478	90	12	solution	solution	NOUN
fcis-26478	90	13	set	set	NOUN
fcis-26478	90	14	found	find	VERB
fcis-26478	90	15	by	by	ADP
fcis-26478	90	16	the	the	DET
fcis-26478	90	17	algorithm	algorithm	NOUN
fcis-26478	90	18	and	and	CCONJ
fcis-26478	90	19	the	the	DET
fcis-26478	90	20	true	true	ADJ
fcis-26478	90	21	pareto	pareto	ADJ
fcis-26478	90	22	front	front	NOUN
fcis-26478	90	23	.	.	PUNCT
fcis-26478	91	1	the	the	DET
fcis-26478	91	2	calculation	calculation	NOUN
fcis-26478	91	3	formula	formula	NOUN
fcis-26478	91	4	is	be	AUX
fcis-26478	91	5	as	as	SCONJ
fcis-26478	91	6	follows	follow	VERB
fcis-26478	91	7	:	:	PUNCT
fcis-26478	91	8	⋃	⋃	PROPN
fcis-26478	91	9	,	,	PUNCT
fcis-26478	91	10	∈	∈	PROPN
fcis-26478	91	11	…	…	PUNCT
fcis-26478	91	12	,	,	PUNCT
fcis-26478	91	13	(	(	PUNCT
fcis-26478	91	14	2	2	X
fcis-26478	91	15	)	)	PUNCT
fcis-26478	91	16	the	the	DET
fcis-26478	91	17	hv	hv	PROPN
fcis-26478	91	18	value	value	NOUN
fcis-26478	91	19	is	be	AUX
fcis-26478	91	20	the	the	DET
fcis-26478	91	21	volume	volume	NOUN
fcis-26478	91	22	of	of	ADP
fcis-26478	91	23	the	the	DET
fcis-26478	91	24	bounded	bounded	ADJ
fcis-26478	91	25	region	region	NOUN
fcis-26478	91	26	dominated	dominate	VERB
fcis-26478	91	27	by	by	ADP
fcis-26478	91	28	the	the	DET
fcis-26478	91	29	solution	solution	NOUN
fcis-26478	91	30	set	set	VERB
fcis-26478	91	31	.	.	PUNCT
fcis-26478	92	1	the	the	PRON
fcis-26478	92	2	larger	large	ADJ
fcis-26478	92	3	the	the	DET
fcis-26478	92	4	hypervolume	hypervolume	NOUN
fcis-26478	92	5	and	and	CCONJ
fcis-26478	92	6	hv	hv	PROPN
fcis-26478	92	7	,	,	PUNCT
fcis-26478	92	8	the	the	PRON
fcis-26478	92	9	better	well	ADJ
fcis-26478	92	10	the	the	DET
fcis-26478	92	11	performance	performance	NOUN
fcis-26478	92	12	of	of	ADP
fcis-26478	92	13	this	this	DET
fcis-26478	92	14	set	set	NOUN
fcis-26478	92	15	of	of	ADP
fcis-26478	92	16	solutions	solution	NOUN
fcis-26478	92	17	.	.	PUNCT
fcis-26478	93	1	the	the	DET
fcis-26478	93	2	average	average	ADJ
fcis-26478	93	3	distance	distance	NOUN
fcis-26478	93	4	between	between	ADP
fcis-26478	93	5	the	the	DET
fcis-26478	93	6	pareto	pareto	ADJ
fcis-26478	93	7	approximate	approximate	ADJ
fcis-26478	93	8	solution	solution	NOUN
fcis-26478	93	9	set	set	VERB
fcis-26478	93	10	obtained	obtain	VERB
fcis-26478	93	11	by	by	ADP
fcis-26478	93	12	igdx	igdx	NOUN
fcis-26478	93	13	calculation	calculation	NOUN
fcis-26478	93	14	and	and	CCONJ
fcis-26478	93	15	the	the	DET
fcis-26478	93	16	real	real	ADJ
fcis-26478	93	17	ps	ps	NOUN
fcis-26478	93	18	is	be	AUX
fcis-26478	93	19	calculated	calculate	VERB
fcis-26478	93	20	as	as	SCONJ
fcis-26478	93	21	follows	follow	VERB
fcis-26478	93	22	:	:	PUNCT
fcis-26478	93	23	,	,	PUNCT
fcis-26478	93	24	∗	∗	NOUN
fcis-26478	93	25	|	|	ADV
fcis-26478	93	26	∗|	∗|	PROPN
fcis-26478	93	27	∑	∑	PUNCT
fcis-26478	93	28	,	,	PUNCT
fcis-26478	93	29	∈	∈	PROPN
fcis-26478	93	30	∗	∗	NOUN
fcis-26478	93	31	(	(	PUNCT
fcis-26478	93	32	3	3	NUM
fcis-26478	93	33	)	)	PUNCT
fcis-26478	93	34	where	where	SCONJ
fcis-26478	93	35	o	o	NOUN
fcis-26478	93	36	is	be	AUX
fcis-26478	93	37	the	the	DET
fcis-26478	93	38	approximate	approximate	ADJ
fcis-26478	93	39	ps	ps	NOUN
fcis-26478	93	40	obtained	obtain	VERB
fcis-26478	93	41	by	by	ADP
fcis-26478	93	42	the	the	DET
fcis-26478	93	43	algorithm	algorithm	NOUN
fcis-26478	93	44	,	,	PUNCT
fcis-26478	93	45	∗	∗	PROPN
fcis-26478	93	46	is	be	AUX
fcis-26478	93	47	the	the	DET
fcis-26478	93	48	ps	ps	PROPN
fcis-26478	93	49	obtained	obtain	VERB
fcis-26478	93	50	by	by	ADP
fcis-26478	93	51	the	the	DET
fcis-26478	93	52	algorithm	algorithm	NOUN
fcis-26478	93	53	in	in	ADP
fcis-26478	93	54	the	the	DET
fcis-26478	93	55	decision	decision	NOUN
fcis-26478	93	56	space	space	NOUN
fcis-26478	93	57	,	,	PUNCT
fcis-26478	93	58	and	and	CCONJ
fcis-26478	93	59	|	|	ADV
fcis-26478	93	60	∗|	∗|	NOUN
fcis-26478	93	61	is	be	AUX
fcis-26478	93	62	the	the	DET
fcis-26478	93	63	number	number	NOUN
fcis-26478	93	64	of	of	ADP
fcis-26478	93	65	intermediate	intermediate	ADJ
fcis-26478	93	66	elements	element	NOUN
fcis-26478	93	67	.	.	PUNCT
fcis-26478	94	1	according	accord	VERB
fcis-26478	94	2	to	to	ADP
fcis-26478	94	3	the	the	DET
fcis-26478	94	4	definition	definition	NOUN
fcis-26478	94	5	,	,	PUNCT
fcis-26478	94	6	the	the	PRON
fcis-26478	94	7	smaller	small	ADJ
fcis-26478	94	8	the	the	DET
fcis-26478	94	9	value	value	NOUN
fcis-26478	94	10	of	of	ADP
fcis-26478	94	11	igdx	igdx	NOUN
fcis-26478	94	12	,	,	PUNCT
fcis-26478	94	13	the	the	PRON
fcis-26478	94	14	better	well	ADJ
fcis-26478	94	15	the	the	DET
fcis-26478	94	16	solution	solution	NOUN
fcis-26478	94	17	obtained	obtain	VERB
fcis-26478	94	18	by	by	ADP
fcis-26478	94	19	the	the	DET
fcis-26478	94	20	algorithm	algorithm	NOUN
fcis-26478	94	21	.	.	PUNCT
fcis-26478	95	1	psp	psp	NOUN
fcis-26478	95	2	represents	represent	VERB
fcis-26478	95	3	the	the	DET
fcis-26478	95	4	degree	degree	NOUN
fcis-26478	95	5	of	of	ADP
fcis-26478	95	6	approximation	approximation	NOUN
fcis-26478	95	7	between	between	ADP
fcis-26478	95	8	the	the	DET
fcis-26478	95	9	pareto	pareto	ADJ
fcis-26478	95	10	optimal	optimal	ADJ
fcis-26478	95	11	solution	solution	NOUN
fcis-26478	95	12	set	set	VERB
fcis-26478	95	13	obtained	obtain	VERB
fcis-26478	95	14	by	by	ADP
fcis-26478	95	15	the	the	DET
fcis-26478	95	16	algorithm	algorithm	NOUN
fcis-26478	95	17	and	and	CCONJ
fcis-26478	95	18	the	the	DET
fcis-26478	95	19	true	true	ADJ
fcis-26478	95	20	pareto	pareto	ADJ
fcis-26478	95	21	optimal	optimal	ADJ
fcis-26478	95	22	solution	solution	NOUN
fcis-26478	95	23	set	set	VERB
fcis-26478	95	24	in	in	ADP
fcis-26478	95	25	the	the	DET
fcis-26478	95	26	decision	decision	NOUN
fcis-26478	95	27	space	space	NOUN
fcis-26478	95	28	,	,	PUNCT
fcis-26478	95	29	and	and	CCONJ
fcis-26478	95	30	evaluates	evaluate	VERB
fcis-26478	95	31	the	the	DET
fcis-26478	95	32	convergence	convergence	NOUN
fcis-26478	95	33	of	of	ADP
fcis-26478	95	34	the	the	DET
fcis-26478	95	35	ps	ps	NOUN
fcis-26478	95	36	obtained	obtain	VERB
fcis-26478	95	37	by	by	ADP
fcis-26478	95	38	the	the	DET
fcis-26478	95	39	algorithm	algorithm	NOUN
fcis-26478	95	40	.	.	PUNCT
fcis-26478	96	1	(	(	PUNCT
fcis-26478	96	2	4	4	X
fcis-26478	96	3	)	)	PUNCT
fcis-26478	96	4	represents	represent	VERB
fcis-26478	96	5	the	the	DET
fcis-26478	96	6	coverage	coverage	NOUN
fcis-26478	96	7	between	between	ADP
fcis-26478	96	8	the	the	DET
fcis-26478	96	9	ps	ps	NOUN
fcis-26478	96	10	obtained	obtain	VERB
fcis-26478	96	11	by	by	ADP
fcis-26478	96	12	the	the	DET
fcis-26478	96	13	algorithm	algorithm	NOUN
fcis-26478	96	14	and	and	CCONJ
fcis-26478	96	15	the	the	DET
fcis-26478	96	16	true	true	ADJ
fcis-26478	96	17	ps	ps	NOUN
fcis-26478	96	18	of	of	ADP
fcis-26478	96	19	the	the	DET
fcis-26478	96	20	multimodal	multimodal	ADJ
fcis-26478	96	21	multi	multi	ADJ
fcis-26478	96	22	-	-	ADJ
fcis-26478	96	23	objective	objective	ADJ
fcis-26478	96	24	57	57	NUM
fcis-26478	96	25	testing	testing	NOUN
fcis-26478	96	26	function	function	NOUN
fcis-26478	96	27	.	.	PUNCT
fcis-26478	97	1	the	the	PRON
fcis-26478	97	2	larger	large	ADJ
fcis-26478	97	3	the	the	DET
fcis-26478	97	4	value	value	NOUN
fcis-26478	97	5	,	,	PUNCT
fcis-26478	97	6	the	the	PRON
fcis-26478	97	7	larger	large	ADJ
fcis-26478	97	8	the	the	DET
fcis-26478	97	9	psp	psp	NOUN
fcis-26478	97	10	value	value	NOUN
fcis-26478	97	11	,	,	PUNCT
fcis-26478	97	12	which	which	PRON
fcis-26478	97	13	can	can	AUX
fcis-26478	97	14	reflect	reflect	VERB
fcis-26478	97	15	the	the	DET
fcis-26478	97	16	better	well	ADJ
fcis-26478	97	17	performance	performance	NOUN
fcis-26478	97	18	of	of	ADP
fcis-26478	97	19	the	the	DET
fcis-26478	97	20	algorithm	algorithm	NOUN
fcis-26478	97	21	.	.	PUNCT
fcis-26478	98	1	although	although	SCONJ
fcis-26478	98	2	researchers	researcher	NOUN
fcis-26478	98	3	have	have	AUX
fcis-26478	98	4	proposed	propose	VERB
fcis-26478	98	5	some	some	DET
fcis-26478	98	6	evaluation	evaluation	NOUN
fcis-26478	98	7	metrics	metric	NOUN
fcis-26478	98	8	for	for	ADP
fcis-26478	98	9	multimodal	multimodal	ADJ
fcis-26478	98	10	multi	multi	ADJ
fcis-26478	98	11	-	-	ADJ
fcis-26478	98	12	objective	objective	ADJ
fcis-26478	98	13	optimization	optimization	NOUN
fcis-26478	98	14	algorithms	algorithm	NOUN
fcis-26478	98	15	,	,	PUNCT
fcis-26478	98	16	most	most	ADJ
fcis-26478	98	17	of	of	ADP
fcis-26478	98	18	them	they	PRON
fcis-26478	98	19	require	require	VERB
fcis-26478	98	20	the	the	DET
fcis-26478	98	21	ps	ps	NOUN
fcis-26478	98	22	and	and	CCONJ
fcis-26478	98	23	pf	pf	PROPN
fcis-26478	98	24	of	of	ADP
fcis-26478	98	25	the	the	DET
fcis-26478	98	26	known	know	VERB
fcis-26478	98	27	problem	problem	NOUN
fcis-26478	98	28	and	and	CCONJ
fcis-26478	98	29	select	select	ADJ
fcis-26478	98	30	reference	reference	NOUN
fcis-26478	98	31	points	point	NOUN
fcis-26478	98	32	or	or	CCONJ
fcis-26478	98	33	reference	reference	NOUN
fcis-26478	98	34	vectors	vector	NOUN
fcis-26478	98	35	based	base	VERB
fcis-26478	98	36	on	on	ADP
fcis-26478	98	37	them	they	PRON
fcis-26478	98	38	.	.	PUNCT
fcis-26478	99	1	however	however	ADV
fcis-26478	99	2	,	,	PUNCT
fcis-26478	99	3	in	in	ADP
fcis-26478	99	4	practical	practical	ADJ
fcis-26478	99	5	problems	problem	NOUN
fcis-26478	99	6	,	,	PUNCT
fcis-26478	99	7	ps	ps	PROPN
fcis-26478	99	8	and	and	CCONJ
fcis-26478	99	9	pf	pf	PROPN
fcis-26478	99	10	are	be	AUX
fcis-26478	99	11	unknown	unknown	ADJ
fcis-26478	99	12	,	,	PUNCT
fcis-26478	99	13	so	so	ADV
fcis-26478	99	14	how	how	SCONJ
fcis-26478	99	15	to	to	PART
fcis-26478	99	16	design	design	VERB
fcis-26478	99	17	reasonable	reasonable	ADJ
fcis-26478	99	18	performance	performance	NOUN
fcis-26478	99	19	indicators	indicator	NOUN
fcis-26478	99	20	is	be	AUX
fcis-26478	99	21	a	a	DET
fcis-26478	99	22	direction	direction	NOUN
fcis-26478	99	23	for	for	ADP
fcis-26478	99	24	future	future	ADJ
fcis-26478	99	25	research	research	NOUN
fcis-26478	99	26	.	.	PUNCT
fcis-26478	100	1	5	5	X
fcis-26478	100	2	.	.	X
fcis-26478	100	3	conclusion	conclusion	NOUN
fcis-26478	100	4	multimodal	multimodal	ADJ
fcis-26478	100	5	multi	multi	ADJ
fcis-26478	100	6	-	-	ADJ
fcis-26478	100	7	objective	objective	ADJ
fcis-26478	100	8	optimization	optimization	NOUN
fcis-26478	100	9	algorithms	algorithm	NOUN
fcis-26478	100	10	are	be	AUX
fcis-26478	100	11	effective	effective	ADJ
fcis-26478	100	12	tools	tool	NOUN
fcis-26478	100	13	for	for	ADP
fcis-26478	100	14	solving	solve	VERB
fcis-26478	100	15	complex	complex	ADJ
fcis-26478	100	16	decision	decision	NOUN
fcis-26478	100	17	-	-	PUNCT
fcis-26478	100	18	making	make	VERB
fcis-26478	100	19	problems	problem	NOUN
fcis-26478	100	20	in	in	ADP
fcis-26478	100	21	the	the	DET
fcis-26478	100	22	real	real	ADJ
fcis-26478	100	23	world	world	NOUN
fcis-26478	100	24	,	,	PUNCT
fcis-26478	100	25	providing	provide	VERB
fcis-26478	100	26	decision	decision	NOUN
fcis-26478	100	27	-	-	PUNCT
fcis-26478	100	28	makers	maker	NOUN
fcis-26478	100	29	with	with	ADP
fcis-26478	100	30	more	more	ADJ
fcis-26478	100	31	solutions	solution	NOUN
fcis-26478	100	32	by	by	ADP
fcis-26478	100	33	maintaining	maintain	VERB
fcis-26478	100	34	diversity	diversity	NOUN
fcis-26478	100	35	and	and	CCONJ
fcis-26478	100	36	convergence	convergence	NOUN
fcis-26478	100	37	of	of	ADP
fcis-26478	100	38	solutions	solution	NOUN
fcis-26478	100	39	.	.	PUNCT
fcis-26478	101	1	although	although	SCONJ
fcis-26478	101	2	some	some	DET
fcis-26478	101	3	research	research	NOUN
fcis-26478	101	4	progress	progress	NOUN
fcis-26478	101	5	has	have	AUX
fcis-26478	101	6	been	be	AUX
fcis-26478	101	7	made	make	VERB
fcis-26478	101	8	,	,	PUNCT
fcis-26478	101	9	most	most	ADJ
fcis-26478	101	10	existing	exist	VERB
fcis-26478	101	11	mmoeas	mmoea	NOUN
fcis-26478	101	12	have	have	AUX
fcis-26478	101	13	achieved	achieve	VERB
fcis-26478	101	14	good	good	ADJ
fcis-26478	101	15	distribution	distribution	NOUN
fcis-26478	101	16	in	in	ADP
fcis-26478	101	17	the	the	DET
fcis-26478	101	18	decision	decision	NOUN
fcis-26478	101	19	space	space	NOUN
fcis-26478	101	20	,	,	PUNCT
fcis-26478	101	21	but	but	CCONJ
fcis-26478	101	22	have	have	AUX
fcis-26478	101	23	sacrificed	sacrifice	VERB
fcis-26478	101	24	some	some	DET
fcis-26478	101	25	performance	performance	NOUN
fcis-26478	101	26	in	in	ADP
fcis-26478	101	27	the	the	DET
fcis-26478	101	28	target	target	NOUN
fcis-26478	101	29	space	space	NOUN
fcis-26478	101	30	.	.	PUNCT
fcis-26478	102	1	how	how	SCONJ
fcis-26478	102	2	to	to	PART
fcis-26478	102	3	maintain	maintain	VERB
fcis-26478	102	4	diversity	diversity	NOUN
fcis-26478	102	5	in	in	ADP
fcis-26478	102	6	both	both	CCONJ
fcis-26478	102	7	the	the	DET
fcis-26478	102	8	target	target	NOUN
fcis-26478	102	9	space	space	NOUN
fcis-26478	102	10	and	and	CCONJ
fcis-26478	102	11	decision	decision	NOUN
fcis-26478	102	12	space	space	NOUN
fcis-26478	102	13	remains	remain	VERB
fcis-26478	102	14	a	a	DET
fcis-26478	102	15	research	research	NOUN
fcis-26478	102	16	focus	focus	NOUN
fcis-26478	102	17	.	.	PUNCT
fcis-26478	103	1	in	in	ADP
fcis-26478	103	2	the	the	DET
fcis-26478	103	3	future	future	NOUN
fcis-26478	103	4	,	,	PUNCT
fcis-26478	103	5	we	we	PRON
fcis-26478	103	6	will	will	AUX
fcis-26478	103	7	continue	continue	VERB
fcis-26478	103	8	to	to	PART
fcis-26478	103	9	research	research	VERB
fcis-26478	103	10	multimodal	multimodal	NOUN
fcis-26478	103	11	and	and	CCONJ
fcis-26478	103	12	multiobjective	multiobjective	ADJ
fcis-26478	103	13	optimization	optimization	NOUN
fcis-26478	103	14	algorithms	algorithm	NOUN
fcis-26478	103	15	,	,	PUNCT
fcis-26478	103	16	apply	apply	VERB
fcis-26478	103	17	them	they	PRON
fcis-26478	103	18	to	to	ADP
fcis-26478	103	19	more	more	ADJ
fcis-26478	103	20	fields	field	NOUN
fcis-26478	103	21	,	,	PUNCT
fcis-26478	103	22	and	and	CCONJ
fcis-26478	103	23	promote	promote	VERB
fcis-26478	103	24	the	the	DET
fcis-26478	103	25	development	development	NOUN
fcis-26478	103	26	of	of	ADP
fcis-26478	103	27	related	related	ADJ
fcis-26478	103	28	technologies	technology	NOUN
fcis-26478	103	29	.	.	PUNCT
fcis-26478	104	1	acknowledgments	acknowledgment	NOUN
fcis-26478	104	2	this	this	DET
fcis-26478	104	3	work	work	NOUN
fcis-26478	104	4	was	be	AUX
fcis-26478	104	5	supported	support	VERB
fcis-26478	104	6	in	in	ADP
fcis-26478	104	7	part	part	NOUN
fcis-26478	104	8	by	by	ADP
fcis-26478	104	9	the	the	DET
fcis-26478	104	10	guangdong	guangdong	PROPN
fcis-26478	104	11	university	university	PROPN
fcis-26478	104	12	of	of	ADP
fcis-26478	104	13	science	science	NOUN
fcis-26478	104	14	and	and	CCONJ
fcis-26478	104	15	technology	technology	NOUN
fcis-26478	104	16	campus	campus	NOUN
fcis-26478	104	17	level	level	NOUN
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fcis-26478	104	19	project	project	NOUN
fcis-26478	104	20	under	under	ADP
fcis-26478	104	21	grant	grant	NOUN
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fcis-26478	106	10	,	,	PUNCT
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fcis-26478	107	11	.	.	PUNCT
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fcis-26478	108	6	.	.	PUNCT
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fcis-26478	109	2	,	,	PUNCT
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fcis-26478	110	2	.	.	NOUN
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fcis-26478	110	4	)	)	PUNCT
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fcis-26478	111	20	-	-	PUNCT
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fcis-26478	111	24	-	-	ADJ
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fcis-26478	111	30	.	.	PUNCT
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fcis-26478	112	5	.	.	PUNCT
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fcis-26478	113	2	,	,	PUNCT
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fcis-26478	114	15	.	.	PUNCT
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fcis-26478	115	7	.	.	PUNCT
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fcis-26478	116	2	,	,	PUNCT
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fcis-26478	117	6	)	)	PUNCT
fcis-26478	117	7	,	,	PUNCT
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fcis-26478	117	10	-	-	SYM
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fcis-26478	118	2	4	4	X
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fcis-26478	118	9	.	.	PUNCT
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fcis-26478	119	13	.	.	PUNCT
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fcis-26478	120	2	ieee	ieee	PROPN
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fcis-26478	120	10	.	.	PUNCT
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fcis-26478	121	4	,	,	PUNCT
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fcis-26478	121	6	,	,	PUNCT
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fcis-26478	121	9	-	-	SYM
fcis-26478	121	10	5	5	NUM
fcis-26478	121	11	.	.	PUNCT
fcis-26478	122	1	[	[	X
fcis-26478	122	2	5	5	NUM
fcis-26478	122	3	]	]	PUNCT
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fcis-26478	122	6	,	,	PUNCT
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fcis-26478	122	22	.	.	PUNCT
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fcis-26478	123	10	,	,	PUNCT
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fcis-26478	123	12	new	new	PROPN
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fcis-26478	123	14	,	,	PUNCT
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fcis-26478	136	16	:	:	PUNCT
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fcis-26478	139	9	,	,	PUNCT
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fcis-26478	143	5	5	5	NUM
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fcis-26478	143	7	,	,	PUNCT
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fcis-26478	144	3	-	-	SYM
fcis-26478	144	4	817	817	NUM
fcis-26478	144	5	.	.	PUNCT
fcis-26478	145	1	[	[	X
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fcis-26478	145	3	]	]	PUNCT
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fcis-26478	145	5	gu	gu	PROPN
fcis-26478	145	6	,	,	PUNCT
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fcis-26478	145	9	,	,	PUNCT
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fcis-26478	145	20	on	on	ADP
fcis-26478	145	21	local	local	ADJ
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fcis-26478	145	23	neighborhood	neighborhood	NOUN
fcis-26478	145	24	crowding	crowd	VERB
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fcis-26478	146	5	.	.	PUNCT
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fcis-26478	147	2	,	,	PUNCT
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fcis-26478	147	4	.	.	PROPN
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fcis-26478	147	6	,	,	PUNCT
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fcis-26478	147	9	-	-	SYM
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fcis-26478	147	11	.	.	PUNCT
fcis-26478	148	1	[	[	X
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fcis-26478	148	3	]	]	PUNCT
fcis-26478	148	4	xinyi	xinyi	PROPN
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fcis-26478	149	12	.	.	PUNCT
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fcis-26478	150	2	information	information	NOUN
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fcis-26478	150	4	.	.	PUNCT
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fcis-26478	151	2	notes	note	NOUN
fcis-26478	151	3	in	in	ADP
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fcis-26478	151	6	.	.	PUNCT
fcis-26478	152	1	2024	2024	NUM
fcis-26478	152	2	,	,	PUNCT
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fcis-26478	152	4	.	.	PROPN
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fcis-26478	152	6	,	,	PUNCT
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fcis-26478	152	9	-	-	SYM
fcis-26478	152	10	313	313	NUM
fcis-26478	152	11	.	.	PUNCT
fcis-26478	153	1	[	[	X
fcis-26478	153	2	13	13	NUM
fcis-26478	153	3	]	]	PUNCT
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fcis-26478	154	7	for	for	ADP
fcis-26478	154	8	multi	multi	ADJ
fcis-26478	154	9	-	-	ADJ
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fcis-26478	154	12	-	-	ADJ
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fcis-26478	155	4	.	.	PUNCT
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fcis-26478	156	2	,	,	PUNCT
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fcis-26478	156	4	,	,	PUNCT
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fcis-26478	156	7	-	-	SYM
fcis-26478	156	8	261	261	NUM
fcis-26478	156	9	.	.	PUNCT
fcis-26478	157	1	[	[	X
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fcis-26478	157	3	]	]	X
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fcis-26478	157	5	hu	hu	PROPN
fcis-26478	157	6	,	,	PUNCT
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fcis-26478	157	9	.	.	PUNCT
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fcis-26478	158	3	a	a	DET
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fcis-26478	159	5	conference	conference	NOUN
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fcis-26478	159	7	.	.	PUNCT
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fcis-26478	160	2	,	,	PUNCT
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fcis-26478	160	6	.	.	PUNCT
fcis-26478	161	1	[	[	X
fcis-26478	161	2	15	15	NUM
fcis-26478	161	3	]	]	X
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fcis-26478	161	6	,	,	PUNCT
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fcis-26478	161	9	,	,	PUNCT
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fcis-26478	162	8	-	-	PUNCT
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fcis-26478	163	6	.	.	PUNCT
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fcis-26478	164	2	,	,	PUNCT
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fcis-26478	165	7	,	,	PUNCT
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fcis-26478	165	10	-	-	SYM
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fcis-26478	171	2	,	,	PUNCT
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fcis-26478	171	5	.	.	PUNCT
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fcis-26478	175	2	-	-	SYM
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fcis-26478	181	15	.	.	PUNCT
fcis-26478	182	1	[	[	X
fcis-26478	182	2	20	20	NUM
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fcis-26478	184	5	,	,	PUNCT
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fcis-26478	185	6	347	347	NUM
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fcis-26478	188	2	transactions	transaction	NOUN
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fcis-26478	188	6	.	.	PUNCT
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fcis-26478	189	2	,	,	PUNCT
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fcis-26478	192	15	.	.	PUNCT
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fcis-26478	195	2	,	,	PUNCT
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fcis-26478	197	21	.	.	PUNCT
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fcis-26478	198	2	,	,	PUNCT
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fcis-26478	201	11	.	.	PUNCT
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fcis-26478	208	2	,	,	PUNCT
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fcis-26478	208	14	-	-	SYM
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fcis-26478	208	16	.	.	PUNCT
fcis-26478	209	1	[	[	X
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fcis-26478	209	18	-	-	PUNCT
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fcis-26478	209	21	in	in	ADP
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fcis-26478	209	23	the	the	DET
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fcis-26478	209	29	an	an	DET
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fcis-26478	209	32	distribution	distribution	NOUN
fcis-26478	209	33	algorithm	algorithm	NOUN
fcis-26478	209	34	.	.	PUNCT
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fcis-26478	211	14	-	-	SYM
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