id	sid	tid	token	lemma	pos
ejpam-4638	1	1	european	european	PROPN
ejpam-4638	1	2	journal	journal	PROPN
ejpam-4638	1	3	of	of	ADP
ejpam-4638	1	4	pure	pure	ADJ
ejpam-4638	1	5	and	and	CCONJ
ejpam-4638	1	6	applied	apply	VERB
ejpam-4638	1	7	mathematics	mathematic	NOUN
ejpam-4638	1	8	vol	vol	NOUN
ejpam-4638	1	9	.	.	PUNCT
ejpam-4638	2	1	16	16	NUM
ejpam-4638	2	2	,	,	PUNCT
ejpam-4638	2	3	no	no	INTJ
ejpam-4638	2	4	.	.	NOUN
ejpam-4638	2	5	1	1	NUM
ejpam-4638	2	6	,	,	PUNCT
ejpam-4638	2	7	2023	2023	NUM
ejpam-4638	2	8	,	,	PUNCT
ejpam-4638	2	9	595	595	NUM
ejpam-4638	2	10	-	-	SYM
ejpam-4638	2	11	608	608	NUM
ejpam-4638	2	12	issn	issn	PROPN
ejpam-4638	2	13	1307	1307	NUM
ejpam-4638	2	14	-	-	SYM
ejpam-4638	2	15	5543	5543	NUM
ejpam-4638	2	16	–	–	PUNCT
ejpam-4638	2	17	ejpam.com	ejpam.com	X
ejpam-4638	2	18	published	publish	VERB
ejpam-4638	2	19	by	by	ADP
ejpam-4638	2	20	new	new	PROPN
ejpam-4638	2	21	york	york	PROPN
ejpam-4638	2	22	business	business	PROPN
ejpam-4638	2	23	global	global	ADJ
ejpam-4638	2	24	grey	grey	ADJ
ejpam-4638	2	25	wolves	wolf	NOUN
ejpam-4638	2	26	attack	attack	NOUN
ejpam-4638	2	27	process	process	NOUN
ejpam-4638	2	28	for	for	ADP
ejpam-4638	2	29	the	the	DET
ejpam-4638	2	30	pareto	pareto	ADJ
ejpam-4638	2	31	optimal	optimal	ADJ
ejpam-4638	2	32	front	front	ADJ
ejpam-4638	2	33	construction	construction	NOUN
ejpam-4638	2	34	in	in	ADP
ejpam-4638	2	35	the	the	DET
ejpam-4638	2	36	multiobjective	multiobjective	ADJ
ejpam-4638	2	37	optimization	optimization	NOUN
ejpam-4638	2	38	wendinda	wendinda	PROPN
ejpam-4638	2	39	bamogo1	bamogo1	PROPN
ejpam-4638	2	40	,	,	PUNCT
ejpam-4638	2	41	kounhinir	kounhinir	PROPN
ejpam-4638	2	42	somé1,∗	somé1,∗	PROPN
ejpam-4638	2	43	,	,	PUNCT
ejpam-4638	3	1	joseph	joseph	PROPN
ejpam-4638	3	2	poda2	poda2	PROPN
ejpam-4638	3	3	1	1	NUM
ejpam-4638	3	4	département	département	PROPN
ejpam-4638	3	5	de	de	X
ejpam-4638	3	6	mathématiques	mathématiques	PROPN
ejpam-4638	3	7	,	,	PUNCT
ejpam-4638	3	8	laboratoire	laboratoire	PROPN
ejpam-4638	3	9	de	de	PROPN
ejpam-4638	3	10	mathématiques	mathématiques	PROPN
ejpam-4638	3	11	informatique	informatique	PROPN
ejpam-4638	3	12	et	et	PROPN
ejpam-4638	3	13	applications	application	NOUN
ejpam-4638	3	14	,	,	PUNCT
ejpam-4638	3	15	université	université	ADJ
ejpam-4638	3	16	norbert	norbert	PROPN
ejpam-4638	3	17	zongo	zongo	PROPN
ejpam-4638	3	18	,	,	PUNCT
ejpam-4638	3	19	koudougou	koudougou	PROPN
ejpam-4638	3	20	,	,	PUNCT
ejpam-4638	3	21	burkina	burkina	PROPN
ejpam-4638	3	22	faso	faso	PROPN
ejpam-4638	3	23	2	2	NUM
ejpam-4638	3	24	département	département	PROPN
ejpam-4638	3	25	de	de	X
ejpam-4638	3	26	mathématiques	mathématiques	PROPN
ejpam-4638	3	27	,	,	PUNCT
ejpam-4638	3	28	laboratoire	laboratoire	PROPN
ejpam-4638	3	29	d’analyse	d’analyse	PROPN
ejpam-4638	3	30	numérique	numérique	NOUN
ejpam-4638	3	31	,	,	PUNCT
ejpam-4638	3	32	informatique	informatique	NOUN
ejpam-4638	3	33	et	et	NOUN
ejpam-4638	3	34	biomathematiques	biomathematique	NOUN
ejpam-4638	3	35	,	,	PUNCT
ejpam-4638	3	36	université	université	NOUN
ejpam-4638	3	37	joseph	joseph	PROPN
ejpam-4638	3	38	ki	ki	PROPN
ejpam-4638	3	39	zerbo	zerbo	PROPN
ejpam-4638	3	40	,	,	PUNCT
ejpam-4638	3	41	ouagadougou	ouagadougou	PROPN
ejpam-4638	3	42	,	,	PUNCT
ejpam-4638	3	43	burkina	burkina	PROPN
ejpam-4638	3	44	faso	faso	PROPN
ejpam-4638	3	45	abstract	abstract	NOUN
ejpam-4638	3	46	.	.	PUNCT
ejpam-4638	4	1	we	we	PRON
ejpam-4638	4	2	propose	propose	VERB
ejpam-4638	4	3	a	a	DET
ejpam-4638	4	4	new	new	ADJ
ejpam-4638	4	5	metaheuristic	metaheuristic	ADJ
ejpam-4638	4	6	,	,	PUNCT
ejpam-4638	4	7	hmgwoga	hmgwoga	NOUN
ejpam-4638	4	8	-	-	PUNCT
ejpam-4638	4	9	mo	mo	PROPN
ejpam-4638	4	10	,	,	PUNCT
ejpam-4638	4	11	for	for	ADP
ejpam-4638	4	12	solving	solve	VERB
ejpam-4638	4	13	multiobjective	multiobjective	ADJ
ejpam-4638	4	14	optimization	optimization	NOUN
ejpam-4638	4	15	problems	problem	NOUN
ejpam-4638	4	16	operating	operate	VERB
ejpam-4638	4	17	with	with	ADP
ejpam-4638	4	18	a	a	DET
ejpam-4638	4	19	population	population	NOUN
ejpam-4638	4	20	of	of	ADP
ejpam-4638	4	21	solutions	solution	NOUN
ejpam-4638	4	22	.	.	PUNCT
ejpam-4638	5	1	the	the	DET
ejpam-4638	5	2	method	method	NOUN
ejpam-4638	5	3	is	be	AUX
ejpam-4638	5	4	a	a	DET
ejpam-4638	5	5	hybridization	hybridization	NOUN
ejpam-4638	5	6	of	of	ADP
ejpam-4638	5	7	the	the	DET
ejpam-4638	5	8	hmgwoga	hmgwoga	NOUN
ejpam-4638	5	9	method	method	NOUN
ejpam-4638	5	10	,	,	PUNCT
ejpam-4638	5	11	which	which	PRON
ejpam-4638	5	12	is	be	AUX
ejpam-4638	5	13	a	a	DET
ejpam-4638	5	14	single	single	ADJ
ejpam-4638	5	15	objective	objective	ADJ
ejpam-4638	5	16	optimization	optimization	NOUN
ejpam-4638	5	17	method	method	NOUN
ejpam-4638	5	18	,	,	PUNCT
ejpam-4638	5	19	and	and	CCONJ
ejpam-4638	5	20	the	the	DET
ejpam-4638	5	21	ϵ-constraint	ϵ-constraint	NOUN
ejpam-4638	5	22	approach	approach	NOUN
ejpam-4638	5	23	,	,	PUNCT
ejpam-4638	5	24	which	which	PRON
ejpam-4638	5	25	is	be	AUX
ejpam-4638	5	26	an	an	DET
ejpam-4638	5	27	aggregation	aggregation	NOUN
ejpam-4638	5	28	technique	technique	NOUN
ejpam-4638	5	29	.	.	PUNCT
ejpam-4638	6	1	the	the	DET
ejpam-4638	6	2	ϵ-constraint	ϵ-constraint	NOUN
ejpam-4638	6	3	technique	technique	NOUN
ejpam-4638	6	4	is	be	AUX
ejpam-4638	6	5	one	one	NUM
ejpam-4638	6	6	of	of	ADP
ejpam-4638	6	7	the	the	DET
ejpam-4638	6	8	best	good	ADJ
ejpam-4638	6	9	ways	way	NOUN
ejpam-4638	6	10	to	to	PART
ejpam-4638	6	11	transform	transform	VERB
ejpam-4638	6	12	a	a	DET
ejpam-4638	6	13	problem	problem	NOUN
ejpam-4638	6	14	with	with	ADP
ejpam-4638	6	15	many	many	ADJ
ejpam-4638	6	16	objective	objective	ADJ
ejpam-4638	6	17	functions	function	NOUN
ejpam-4638	6	18	into	into	ADP
ejpam-4638	6	19	a	a	DET
ejpam-4638	6	20	single	single	ADJ
ejpam-4638	6	21	objective	objective	ADJ
ejpam-4638	6	22	problem	problem	NOUN
ejpam-4638	6	23	because	because	SCONJ
ejpam-4638	6	24	it	it	PRON
ejpam-4638	6	25	works	work	VERB
ejpam-4638	6	26	even	even	ADV
ejpam-4638	6	27	if	if	SCONJ
ejpam-4638	6	28	the	the	DET
ejpam-4638	6	29	problem	problem	NOUN
ejpam-4638	6	30	has	have	VERB
ejpam-4638	6	31	any	any	DET
ejpam-4638	6	32	kind	kind	NOUN
ejpam-4638	6	33	of	of	ADP
ejpam-4638	6	34	pareto	pareto	ADJ
ejpam-4638	6	35	optimal	optimal	ADJ
ejpam-4638	6	36	front	front	NOUN
ejpam-4638	6	37	.	.	PUNCT
ejpam-4638	7	1	previously	previously	ADV
ejpam-4638	7	2	,	,	PUNCT
ejpam-4638	7	3	the	the	DET
ejpam-4638	7	4	hmgwoga	hmgwoga	NOUN
ejpam-4638	7	5	method	method	NOUN
ejpam-4638	7	6	was	be	AUX
ejpam-4638	7	7	designed	design	VERB
ejpam-4638	7	8	to	to	PART
ejpam-4638	7	9	optimize	optimize	VERB
ejpam-4638	7	10	a	a	DET
ejpam-4638	7	11	positive	positive	ADJ
ejpam-4638	7	12	single	single	ADJ
ejpam-4638	7	13	-	-	PUNCT
ejpam-4638	7	14	objective	objective	ADJ
ejpam-4638	7	15	function	function	NOUN
ejpam-4638	7	16	without	without	ADP
ejpam-4638	7	17	constraints	constraint	NOUN
ejpam-4638	7	18	.	.	PUNCT
ejpam-4638	8	1	the	the	DET
ejpam-4638	8	2	obtained	obtain	VERB
ejpam-4638	8	3	solutions	solution	NOUN
ejpam-4638	8	4	are	be	AUX
ejpam-4638	8	5	good	good	ADJ
ejpam-4638	8	6	.	.	PUNCT
ejpam-4638	9	1	that	that	PRON
ejpam-4638	9	2	is	be	AUX
ejpam-4638	9	3	why	why	SCONJ
ejpam-4638	9	4	,	,	PUNCT
ejpam-4638	9	5	in	in	ADP
ejpam-4638	9	6	this	this	DET
ejpam-4638	9	7	current	current	ADJ
ejpam-4638	9	8	work	work	NOUN
ejpam-4638	9	9	,	,	PUNCT
ejpam-4638	9	10	we	we	PRON
ejpam-4638	9	11	combined	combine	VERB
ejpam-4638	9	12	have	have	VERB
ejpam-4638	9	13	it	it	PRON
ejpam-4638	9	14	with	with	ADP
ejpam-4638	9	15	the	the	DET
ejpam-4638	9	16	ϵ-constraint	ϵ-constraint	NOUN
ejpam-4638	9	17	approach	approach	NOUN
ejpam-4638	9	18	for	for	ADP
ejpam-4638	9	19	the	the	DET
ejpam-4638	9	20	resolution	resolution	NOUN
ejpam-4638	9	21	of	of	ADP
ejpam-4638	9	22	multiobjective	multiobjective	ADJ
ejpam-4638	9	23	optimization	optimization	NOUN
ejpam-4638	9	24	problems	problem	NOUN
ejpam-4638	9	25	.	.	PUNCT
ejpam-4638	10	1	our	our	PRON
ejpam-4638	10	2	new	new	ADJ
ejpam-4638	10	3	method	method	NOUN
ejpam-4638	10	4	proceeds	proceed	NOUN
ejpam-4638	10	5	by	by	ADP
ejpam-4638	10	6	transforming	transform	VERB
ejpam-4638	10	7	a	a	DET
ejpam-4638	10	8	given	give	VERB
ejpam-4638	10	9	multiobjective	multiobjective	ADJ
ejpam-4638	10	10	optimization	optimization	NOUN
ejpam-4638	10	11	problem	problem	NOUN
ejpam-4638	10	12	with	with	ADP
ejpam-4638	10	13	constraints	constraint	NOUN
ejpam-4638	10	14	into	into	ADP
ejpam-4638	10	15	an	an	DET
ejpam-4638	10	16	unconstrained	unconstrained	ADJ
ejpam-4638	10	17	optimization	optimization	NOUN
ejpam-4638	10	18	of	of	ADP
ejpam-4638	10	19	a	a	DET
ejpam-4638	10	20	single	single	ADJ
ejpam-4638	10	21	objective	objective	ADJ
ejpam-4638	10	22	function	function	NOUN
ejpam-4638	10	23	.	.	PUNCT
ejpam-4638	11	1	with	with	ADP
ejpam-4638	11	2	the	the	DET
ejpam-4638	11	3	hmgwoga	hmgwoga	NOUN
ejpam-4638	11	4	method	method	NOUN
ejpam-4638	11	5	,	,	PUNCT
ejpam-4638	11	6	five	five	NUM
ejpam-4638	11	7	different	different	ADJ
ejpam-4638	11	8	test	test	NOUN
ejpam-4638	11	9	problems	problem	NOUN
ejpam-4638	11	10	with	with	ADP
ejpam-4638	11	11	varying	vary	VERB
ejpam-4638	11	12	pareto	pareto	ADJ
ejpam-4638	11	13	fronts	front	NOUN
ejpam-4638	11	14	have	have	AUX
ejpam-4638	11	15	been	be	AUX
ejpam-4638	11	16	successfully	successfully	ADV
ejpam-4638	11	17	solved	solve	VERB
ejpam-4638	11	18	,	,	PUNCT
ejpam-4638	11	19	and	and	CCONJ
ejpam-4638	11	20	the	the	DET
ejpam-4638	11	21	results	result	NOUN
ejpam-4638	11	22	are	be	AUX
ejpam-4638	11	23	compared	compare	VERB
ejpam-4638	11	24	with	with	ADP
ejpam-4638	11	25	those	those	PRON
ejpam-4638	11	26	of	of	ADP
ejpam-4638	11	27	nsga	nsga	NOUN
ejpam-4638	11	28	-	-	PUNCT
ejpam-4638	11	29	ii	ii	PROPN
ejpam-4638	11	30	regarding	regard	VERB
ejpam-4638	11	31	convergence	convergence	NOUN
ejpam-4638	11	32	towards	towards	ADP
ejpam-4638	11	33	the	the	DET
ejpam-4638	11	34	pareto	pareto	ADJ
ejpam-4638	11	35	front	front	NOUN
ejpam-4638	11	36	and	and	CCONJ
ejpam-4638	11	37	the	the	DET
ejpam-4638	11	38	distribution	distribution	NOUN
ejpam-4638	11	39	of	of	ADP
ejpam-4638	11	40	solutions	solution	NOUN
ejpam-4638	11	41	on	on	ADP
ejpam-4638	11	42	the	the	DET
ejpam-4638	11	43	pareto	pareto	ADJ
ejpam-4638	11	44	front	front	NOUN
ejpam-4638	11	45	.	.	PUNCT
ejpam-4638	12	1	this	this	DET
ejpam-4638	12	2	numerical	numerical	ADJ
ejpam-4638	12	3	study	study	NOUN
ejpam-4638	12	4	indicates	indicate	VERB
ejpam-4638	12	5	that	that	SCONJ
ejpam-4638	12	6	hmgwoga	hmgwoga	NOUN
ejpam-4638	12	7	-	-	PUNCT
ejpam-4638	12	8	mo	mo	PROPN
ejpam-4638	12	9	is	be	AUX
ejpam-4638	12	10	the	the	DET
ejpam-4638	12	11	best	good	ADJ
ejpam-4638	12	12	choice	choice	NOUN
ejpam-4638	12	13	for	for	ADP
ejpam-4638	12	14	solving	solve	VERB
ejpam-4638	12	15	a	a	DET
ejpam-4638	12	16	multiobjective	multiobjective	ADJ
ejpam-4638	12	17	optimization	optimization	NOUN
ejpam-4638	12	18	problem	problem	NOUN
ejpam-4638	12	19	when	when	SCONJ
ejpam-4638	12	20	convergence	convergence	NOUN
ejpam-4638	12	21	is	be	AUX
ejpam-4638	12	22	the	the	DET
ejpam-4638	12	23	most	most	ADV
ejpam-4638	12	24	important	important	ADJ
ejpam-4638	12	25	performance	performance	NOUN
ejpam-4638	12	26	parameter	parameter	NOUN
ejpam-4638	12	27	.	.	PUNCT
ejpam-4638	13	1	2020	2020	NUM
ejpam-4638	13	2	mathematics	mathematic	NOUN
ejpam-4638	13	3	subject	subject	NOUN
ejpam-4638	13	4	classifications	classification	NOUN
ejpam-4638	13	5	:	:	PUNCT
ejpam-4638	13	6	90c29	90c29	NUM
ejpam-4638	13	7	,	,	PUNCT
ejpam-4638	13	8	90c30	90c30	NUM
ejpam-4638	13	9	,	,	PUNCT
ejpam-4638	13	10	49m37	49m37	NUM
ejpam-4638	13	11	key	key	ADJ
ejpam-4638	13	12	words	word	NOUN
ejpam-4638	13	13	and	and	CCONJ
ejpam-4638	13	14	phrases	phrase	NOUN
ejpam-4638	13	15	:	:	PUNCT
ejpam-4638	13	16	multiobjective	multiobjective	ADJ
ejpam-4638	13	17	optimization	optimization	NOUN
ejpam-4638	13	18	,	,	PUNCT
ejpam-4638	13	19	metaheuristics	metaheuristic	NOUN
ejpam-4638	13	20	,	,	PUNCT
ejpam-4638	13	21	pareto	pareto	ADJ
ejpam-4638	13	22	optimality	optimality	NOUN
ejpam-4638	13	23	1	1	NUM
ejpam-4638	13	24	.	.	PUNCT
ejpam-4638	14	1	introduction	introduction	NOUN
ejpam-4638	14	2	considering	consider	VERB
ejpam-4638	14	3	its	its	PRON
ejpam-4638	14	4	intervention	intervention	NOUN
ejpam-4638	14	5	in	in	ADP
ejpam-4638	14	6	several	several	ADJ
ejpam-4638	14	7	areas	area	NOUN
ejpam-4638	14	8	sensitive	sensitive	ADJ
ejpam-4638	14	9	to	to	ADP
ejpam-4638	14	10	development	development	NOUN
ejpam-4638	14	11	,	,	PUNCT
ejpam-4638	14	12	multiobjective	multiobjective	ADJ
ejpam-4638	14	13	optimization	optimization	NOUN
ejpam-4638	14	14	is	be	AUX
ejpam-4638	14	15	one	one	NUM
ejpam-4638	14	16	of	of	ADP
ejpam-4638	14	17	the	the	DET
ejpam-4638	14	18	most	most	ADV
ejpam-4638	14	19	important	important	ADJ
ejpam-4638	14	20	tools	tool	NOUN
ejpam-4638	14	21	for	for	ADP
ejpam-4638	14	22	finding	find	VERB
ejpam-4638	14	23	solutions	solution	NOUN
ejpam-4638	14	24	to	to	ADP
ejpam-4638	14	25	the	the	DET
ejpam-4638	14	26	problems	problem	NOUN
ejpam-4638	14	27	of	of	ADP
ejpam-4638	14	28	everyday	everyday	ADJ
ejpam-4638	14	29	life	life	NOUN
ejpam-4638	14	30	.	.	PUNCT
ejpam-4638	15	1	indeed	indeed	ADV
ejpam-4638	15	2	,	,	PUNCT
ejpam-4638	15	3	the	the	DET
ejpam-4638	15	4	modeling	modeling	NOUN
ejpam-4638	15	5	of	of	ADP
ejpam-4638	15	6	most	most	ADV
ejpam-4638	15	7	economic	economic	ADJ
ejpam-4638	15	8	,	,	PUNCT
ejpam-4638	15	9	management	management	NOUN
ejpam-4638	15	10	,	,	PUNCT
ejpam-4638	15	11	social	social	ADJ
ejpam-4638	15	12	life	life	NOUN
ejpam-4638	15	13	,	,	PUNCT
ejpam-4638	15	14	decisionmaking	decisionmake	VERB
ejpam-4638	15	15	and	and	CCONJ
ejpam-4638	15	16	industrial	industrial	ADJ
ejpam-4638	15	17	problems	problem	NOUN
ejpam-4638	15	18	results	result	VERB
ejpam-4638	15	19	in	in	ADP
ejpam-4638	15	20	multiobjective	multiobjective	ADJ
ejpam-4638	15	21	formulations	formulation	NOUN
ejpam-4638	15	22	,	,	PUNCT
ejpam-4638	15	23	which	which	PRON
ejpam-4638	15	24	is	be	AUX
ejpam-4638	15	25	why	why	SCONJ
ejpam-4638	15	26	there	there	PRON
ejpam-4638	15	27	∗corresponding	∗corresponde	VERB
ejpam-4638	15	28	author	author	NOUN
ejpam-4638	15	29	.	.	PUNCT
ejpam-4638	16	1	doi	doi	NOUN
ejpam-4638	16	2	:	:	PUNCT
ejpam-4638	16	3	https://doi.org/10.29020/nybg.ejpam.v16i1.4638	https://doi.org/10.29020/nybg.ejpam.v16i1.4638	NOUN
ejpam-4638	16	4	email	email	NOUN
ejpam-4638	16	5	addresses	address	NOUN
ejpam-4638	16	6	:	:	PUNCT
ejpam-4638	16	7	menabamogo@gmail.com	menabamogo@gmail.com	X
ejpam-4638	16	8	(	(	PUNCT
ejpam-4638	16	9	w.	w.	PROPN
ejpam-4638	16	10	bamogo	bamogo	PROPN
ejpam-4638	16	11	,	,	PUNCT
ejpam-4638	16	12	sokous@gmail.com	sokous@gmail.com	X
ejpam-4638	16	13	(	(	PUNCT
ejpam-4638	16	14	k.	k.	NOUN
ejpam-4638	16	15	somé	somé	NOUN
ejpam-4638	16	16	)	)	PUNCT
ejpam-4638	16	17	,	,	PUNCT
ejpam-4638	17	1	jopoda88@gmail.com	jopoda88@gmail.com	X
ejpam-4638	17	2	(	(	PUNCT
ejpam-4638	17	3	j.	j.	PROPN
ejpam-4638	17	4	poda	poda	PROPN
ejpam-4638	17	5	)	)	PUNCT
ejpam-4638	17	6	https://www.ejpam.com	https://www.ejpam.com	NOUN
ejpam-4638	18	1	595	595	NUM
ejpam-4638	18	2	©	©	PROPN
ejpam-4638	18	3	2023	2023	NUM
ejpam-4638	18	4	ejpam	ejpam	NOUN
ejpam-4638	18	5	all	all	DET
ejpam-4638	18	6	rights	right	NOUN
ejpam-4638	18	7	reserved	reserve	VERB
ejpam-4638	18	8	.	.	PUNCT
ejpam-4638	19	1	w.	w.	PROPN
ejpam-4638	19	2	bamogo	bamogo	PROPN
ejpam-4638	19	3	,	,	PUNCT
ejpam-4638	19	4	j.	j.	PROPN
ejpam-4638	19	5	poda	poda	PROPN
ejpam-4638	19	6	,	,	PUNCT
ejpam-4638	19	7	k.	k.	PROPN
ejpam-4638	19	8	somé	somé	PROPN
ejpam-4638	19	9	/	/	SYM
ejpam-4638	19	10	eur	eur	PROPN
ejpam-4638	19	11	.	.	PUNCT
ejpam-4638	20	1	j.	j.	PROPN
ejpam-4638	20	2	pure	pure	PROPN
ejpam-4638	20	3	appl	appl	PROPN
ejpam-4638	20	4	.	.	PROPN
ejpam-4638	20	5	math	math	PROPN
ejpam-4638	20	6	,	,	PUNCT
ejpam-4638	20	7	16	16	NUM
ejpam-4638	20	8	(	(	PUNCT
ejpam-4638	20	9	1	1	NUM
ejpam-4638	20	10	)	)	PUNCT
ejpam-4638	20	11	(	(	PUNCT
ejpam-4638	20	12	2023	2023	NUM
ejpam-4638	20	13	)	)	PUNCT
ejpam-4638	20	14	,	,	PUNCT
ejpam-4638	20	15	595	595	NUM
ejpam-4638	20	16	-	-	SYM
ejpam-4638	20	17	608	608	NUM
ejpam-4638	20	18	596	596	NUM
ejpam-4638	20	19	is	be	AUX
ejpam-4638	20	20	interest	interest	NOUN
ejpam-4638	20	21	in	in	ADP
ejpam-4638	20	22	their	their	PRON
ejpam-4638	20	23	resolution	resolution	NOUN
ejpam-4638	20	24	.	.	PUNCT
ejpam-4638	21	1	if	if	SCONJ
ejpam-4638	21	2	the	the	DET
ejpam-4638	21	3	number	number	NOUN
ejpam-4638	21	4	of	of	ADP
ejpam-4638	21	5	functions	function	NOUN
ejpam-4638	21	6	or	or	CCONJ
ejpam-4638	21	7	variables	variable	NOUN
ejpam-4638	21	8	becomes	become	VERB
ejpam-4638	21	9	too	too	ADV
ejpam-4638	21	10	large	large	ADJ
ejpam-4638	21	11	,	,	PUNCT
ejpam-4638	21	12	these	these	DET
ejpam-4638	21	13	formulations	formulation	NOUN
ejpam-4638	21	14	become	become	VERB
ejpam-4638	21	15	difficult	difficult	ADJ
ejpam-4638	21	16	to	to	PART
ejpam-4638	21	17	solve	solve	VERB
ejpam-4638	21	18	.	.	PUNCT
ejpam-4638	22	1	recall	recall	VERB
ejpam-4638	22	2	that	that	SCONJ
ejpam-4638	22	3	a	a	DET
ejpam-4638	22	4	problem	problem	NOUN
ejpam-4638	22	5	related	relate	VERB
ejpam-4638	22	6	to	to	ADP
ejpam-4638	22	7	multiobjective	multiobjective	ADJ
ejpam-4638	22	8	optimization	optimization	NOUN
ejpam-4638	22	9	can	can	AUX
ejpam-4638	22	10	be	be	AUX
ejpam-4638	22	11	modeled	model	VERB
ejpam-4638	22	12	without	without	ADP
ejpam-4638	22	13	loss	loss	NOUN
ejpam-4638	22	14	of	of	ADP
ejpam-4638	22	15	generality	generality	NOUN
ejpam-4638	22	16	in	in	ADP
ejpam-4638	22	17	the	the	DET
ejpam-4638	22	18	following	follow	VERB
ejpam-4638	22	19	form	form	NOUN
ejpam-4638	22	20	:	:	PUNCT
ejpam-4638	22	21	min	min	PROPN
ejpam-4638	22	22	x∈x	x∈x	PROPN
ejpam-4638	22	23	f	f	PROPN
ejpam-4638	22	24	(	(	PUNCT
ejpam-4638	22	25	x	x	X
ejpam-4638	22	26	)	)	PUNCT
ejpam-4638	22	27	=	=	SYM
ejpam-4638	22	28	(	(	PUNCT
ejpam-4638	22	29	f1(x	f1(x	NOUN
ejpam-4638	22	30	)	)	PUNCT
ejpam-4638	22	31	,	,	PUNCT
ejpam-4638	22	32	f2(x	f2(x	PROPN
ejpam-4638	22	33	)	)	PUNCT
ejpam-4638	22	34	,	,	PUNCT
ejpam-4638	22	35	.	.	PUNCT
ejpam-4638	22	36	.	.	PUNCT
ejpam-4638	22	37	.	.	PUNCT
ejpam-4638	23	1	,	,	PUNCT
ejpam-4638	23	2	fk(x	fk(x	PROPN
ejpam-4638	23	3	)	)	PUNCT
ejpam-4638	23	4	)	)	PUNCT
ejpam-4638	24	1	;	;	PUNCT
ejpam-4638	24	2	(	(	PUNCT
ejpam-4638	24	3	mop	mop	PROPN
ejpam-4638	24	4	)	)	PUNCT
ejpam-4638	24	5	where	where	SCONJ
ejpam-4638	24	6	x	x	X
ejpam-4638	24	7	=	=	PRON
ejpam-4638	24	8	{	{	PUNCT
ejpam-4638	24	9	x	x	PROPN
ejpam-4638	24	10	∈	∈	PROPN
ejpam-4638	24	11	rn	rn	PROPN
ejpam-4638	24	12	,	,	PUNCT
ejpam-4638	24	13	gj(x	gj(x	X
ejpam-4638	24	14	)	)	PUNCT
ejpam-4638	24	15	≤	≤	NUM
ejpam-4638	24	16	0	0	NUM
ejpam-4638	24	17	,	,	PUNCT
ejpam-4638	24	18	j	j	PROPN
ejpam-4638	24	19	=	=	SYM
ejpam-4638	24	20	j	j	PROPN
ejpam-4638	24	21	,	,	PUNCT
ejpam-4638	24	22	q	q	X
ejpam-4638	24	23	}	}	PUNCT
ejpam-4638	24	24	is	be	AUX
ejpam-4638	24	25	called	call	VERB
ejpam-4638	24	26	the	the	DET
ejpam-4638	24	27	set	set	NOUN
ejpam-4638	24	28	of	of	ADP
ejpam-4638	24	29	eligible	eligible	ADJ
ejpam-4638	24	30	points	point	NOUN
ejpam-4638	24	31	and	and	CCONJ
ejpam-4638	24	32	the	the	DET
ejpam-4638	24	33	fi	fi	NOUN
ejpam-4638	24	34	,	,	PUNCT
ejpam-4638	24	35	i	i	PRON
ejpam-4638	24	36	=	=	PUNCT
ejpam-4638	24	37	1,k	1,k	PROPN
ejpam-4638	24	38	the	the	DET
ejpam-4638	24	39	objective	objective	ADJ
ejpam-4638	24	40	functions	function	NOUN
ejpam-4638	24	41	,	,	PUNCT
ejpam-4638	24	42	which	which	PRON
ejpam-4638	24	43	are	be	AUX
ejpam-4638	24	44	,	,	PUNCT
ejpam-4638	24	45	in	in	ADP
ejpam-4638	24	46	general	general	ADJ
ejpam-4638	24	47	,	,	PUNCT
ejpam-4638	24	48	in	in	ADP
ejpam-4638	24	49	conflicting	conflicting	NOUN
ejpam-4638	24	50	.	.	PUNCT
ejpam-4638	25	1	the	the	DET
ejpam-4638	25	2	result	result	NOUN
ejpam-4638	25	3	of	of	ADP
ejpam-4638	25	4	this	this	DET
ejpam-4638	25	5	situation	situation	NOUN
ejpam-4638	25	6	is	be	AUX
ejpam-4638	25	7	that	that	SCONJ
ejpam-4638	25	8	there	there	PRON
ejpam-4638	25	9	is	be	VERB
ejpam-4638	25	10	no	no	DET
ejpam-4638	25	11	global	global	ADJ
ejpam-4638	25	12	optimal	optimal	ADJ
ejpam-4638	25	13	solution	solution	NOUN
ejpam-4638	25	14	for	for	ADP
ejpam-4638	25	15	this	this	DET
ejpam-4638	25	16	type	type	NOUN
ejpam-4638	25	17	of	of	ADP
ejpam-4638	25	18	problem	problem	NOUN
ejpam-4638	25	19	.	.	PUNCT
ejpam-4638	26	1	there	there	PRON
ejpam-4638	26	2	are	be	VERB
ejpam-4638	26	3	better	well	ADJ
ejpam-4638	26	4	compromise	compromise	NOUN
ejpam-4638	26	5	solutions	solution	NOUN
ejpam-4638	26	6	or	or	CCONJ
ejpam-4638	26	7	pareto	pareto	VERB
ejpam-4638	26	8	optimal	optimal	ADJ
ejpam-4638	26	9	solutions	solution	NOUN
ejpam-4638	26	10	,	,	PUNCT
ejpam-4638	26	11	hence	hence	ADV
ejpam-4638	26	12	the	the	DET
ejpam-4638	26	13	following	follow	VERB
ejpam-4638	26	14	definition	definition	NOUN
ejpam-4638	26	15	would	would	AUX
ejpam-4638	26	16	be	be	AUX
ejpam-4638	26	17	more	more	ADV
ejpam-4638	26	18	appropriate[2	appropriate[2	NOUN
ejpam-4638	26	19	]	]	PUNCT
ejpam-4638	26	20	:	:	PUNCT
ejpam-4638	26	21	definition	definition	NOUN
ejpam-4638	26	22	1	1	NUM
ejpam-4638	26	23	.	.	PUNCT
ejpam-4638	27	1	let	let	VERB
ejpam-4638	27	2	x	x	SYM
ejpam-4638	27	3	∈	∈	PROPN
ejpam-4638	27	4	x	x	PUNCT
ejpam-4638	27	5	be	be	AUX
ejpam-4638	27	6	an	an	DET
ejpam-4638	27	7	eligible	eligible	ADJ
ejpam-4638	27	8	point	point	NOUN
ejpam-4638	27	9	of	of	ADP
ejpam-4638	27	10	mop	mop	PROPN
ejpam-4638	27	11	.	.	PUNCT
ejpam-4638	28	1	x	x	X
ejpam-4638	28	2	∈	∈	PROPN
ejpam-4638	28	3	x	x	PUNCT
ejpam-4638	28	4	is	be	AUX
ejpam-4638	28	5	called	call	VERB
ejpam-4638	28	6	:	:	PUNCT
ejpam-4638	28	7	(	(	PUNCT
ejpam-4638	28	8	i	i	NOUN
ejpam-4638	28	9	)	)	PUNCT
ejpam-4638	28	10	weakly	weakly	ADV
ejpam-4638	28	11	pareto	pareto	ADJ
ejpam-4638	28	12	optimal	optimal	ADJ
ejpam-4638	28	13	solution	solution	NOUN
ejpam-4638	28	14	if	if	SCONJ
ejpam-4638	28	15	there	there	PRON
ejpam-4638	28	16	is	be	VERB
ejpam-4638	28	17	no	no	DET
ejpam-4638	28	18	other	other	ADJ
ejpam-4638	28	19	point	point	NOUN
ejpam-4638	28	20	x′	x′	PROPN
ejpam-4638	28	21	∈	∈	NOUN
ejpam-4638	28	22	x	x	PUNCT
ejpam-4638	28	23	such	such	ADJ
ejpam-4638	28	24	as	as	ADP
ejpam-4638	28	25	fi(x	fi(x	NUM
ejpam-4638	28	26	′	′	NOUN
ejpam-4638	28	27	)	)	PUNCT
ejpam-4638	28	28	<	<	X
ejpam-4638	28	29	fi(x	fi(x	PROPN
ejpam-4638	28	30	)	)	PUNCT
ejpam-4638	28	31	,	,	PUNCT
ejpam-4638	29	1	i	i	PRON
ejpam-4638	29	2	=	=	SYM
ejpam-4638	29	3	1,k	1,k	PROPN
ejpam-4638	29	4	;	;	PUNCT
ejpam-4638	29	5	(	(	PUNCT
ejpam-4638	29	6	ii	ii	NOUN
ejpam-4638	29	7	)	)	PUNCT
ejpam-4638	29	8	pareto	pareto	VERB
ejpam-4638	29	9	optimal	optimal	ADJ
ejpam-4638	29	10	solution	solution	NOUN
ejpam-4638	29	11	if	if	SCONJ
ejpam-4638	29	12	there	there	PRON
ejpam-4638	29	13	is	be	VERB
ejpam-4638	29	14	no	no	DET
ejpam-4638	29	15	other	other	ADJ
ejpam-4638	29	16	solution	solution	NOUN
ejpam-4638	29	17	x′	x′	PROPN
ejpam-4638	29	18	∈	∈	PROPN
ejpam-4638	29	19	x	x	PUNCT
ejpam-4638	29	20	such	such	ADJ
ejpam-4638	29	21	as	as	ADP
ejpam-4638	29	22	fi(x	fi(x	NUM
ejpam-4638	29	23	′	′	NOUN
ejpam-4638	29	24	)	)	PUNCT
ejpam-4638	29	25	≤	≤	NOUN
ejpam-4638	29	26	fi(x	fi(x	NUM
ejpam-4638	29	27	)	)	PUNCT
ejpam-4638	29	28	,	,	PUNCT
ejpam-4638	29	29	i	i	PRON
ejpam-4638	29	30	=	=	SYM
ejpam-4638	29	31	1,k	1,k	PROPN
ejpam-4638	29	32	and	and	CCONJ
ejpam-4638	29	33	at	at	ADV
ejpam-4638	29	34	least	least	ADV
ejpam-4638	29	35	one	one	NUM
ejpam-4638	29	36	k	k	NOUN
ejpam-4638	29	37	∈	∈	PROPN
ejpam-4638	29	38	{	{	PUNCT
ejpam-4638	29	39	1	1	NUM
ejpam-4638	29	40	,	,	PUNCT
ejpam-4638	29	41	2	2	NUM
ejpam-4638	29	42	,	,	PUNCT
ejpam-4638	29	43	·	·	PUNCT
ejpam-4638	29	44	·	·	PUNCT
ejpam-4638	29	45	·	·	PUNCT
ejpam-4638	29	46	,	,	PUNCT
ejpam-4638	29	47	k	k	X
ejpam-4638	29	48	}	}	PUNCT
ejpam-4638	29	49	,	,	PUNCT
ejpam-4638	29	50	fk(x′	fk(x′	NOUN
ejpam-4638	29	51	)	)	PUNCT
ejpam-4638	29	52	<	<	X
ejpam-4638	29	53	fk(x	fk(x	NOUN
ejpam-4638	29	54	)	)	PUNCT
ejpam-4638	29	55	.	.	PUNCT
ejpam-4638	30	1	finding	find	VERB
ejpam-4638	30	2	solutions	solution	NOUN
ejpam-4638	30	3	for	for	ADP
ejpam-4638	30	4	these	these	DET
ejpam-4638	30	5	types	type	NOUN
ejpam-4638	30	6	of	of	ADP
ejpam-4638	30	7	problems	problem	NOUN
ejpam-4638	30	8	is	be	AUX
ejpam-4638	30	9	a	a	DET
ejpam-4638	30	10	challenge	challenge	NOUN
ejpam-4638	30	11	for	for	ADP
ejpam-4638	30	12	current	current	ADJ
ejpam-4638	30	13	methods	method	NOUN
ejpam-4638	30	14	.	.	PUNCT
ejpam-4638	31	1	they	they	PRON
ejpam-4638	31	2	can	can	AUX
ejpam-4638	31	3	be	be	AUX
ejpam-4638	31	4	divided	divide	VERB
ejpam-4638	31	5	into	into	ADP
ejpam-4638	31	6	two	two	NUM
ejpam-4638	31	7	groups	group	NOUN
ejpam-4638	31	8	,	,	PUNCT
ejpam-4638	31	9	such	such	ADJ
ejpam-4638	31	10	as	as	ADP
ejpam-4638	31	11	the	the	DET
ejpam-4638	31	12	exact	exact	ADJ
ejpam-4638	31	13	methods	method	NOUN
ejpam-4638	31	14	and	and	CCONJ
ejpam-4638	31	15	the	the	DET
ejpam-4638	31	16	approximation	approximation	NOUN
ejpam-4638	31	17	methods	method	NOUN
ejpam-4638	31	18	.	.	PUNCT
ejpam-4638	32	1	the	the	DET
ejpam-4638	32	2	first	first	ADJ
ejpam-4638	32	3	group	group	NOUN
ejpam-4638	32	4	of	of	ADP
ejpam-4638	32	5	methods	method	NOUN
ejpam-4638	32	6	are	be	AUX
ejpam-4638	32	7	inefficient	inefficient	ADJ
ejpam-4638	32	8	in	in	ADP
ejpam-4638	32	9	the	the	DET
ejpam-4638	32	10	case	case	NOUN
ejpam-4638	32	11	of	of	ADP
ejpam-4638	32	12	a	a	DET
ejpam-4638	32	13	problem	problem	NOUN
ejpam-4638	32	14	with	with	ADP
ejpam-4638	32	15	a	a	DET
ejpam-4638	32	16	large	large	ADJ
ejpam-4638	32	17	size	size	NOUN
ejpam-4638	32	18	and/or	and/or	CCONJ
ejpam-4638	32	19	nonlinear	nonlinear	NOUN
ejpam-4638	32	20	;	;	PUNCT
ejpam-4638	32	21	and	and	CCONJ
ejpam-4638	32	22	the	the	DET
ejpam-4638	32	23	second	second	ADJ
ejpam-4638	32	24	group	group	NOUN
ejpam-4638	32	25	of	of	ADP
ejpam-4638	32	26	methods	method	NOUN
ejpam-4638	32	27	forms	form	NOUN
ejpam-4638	32	28	with	with	ADP
ejpam-4638	32	29	heuristics	heuristic	NOUN
ejpam-4638	32	30	and	and	CCONJ
ejpam-4638	32	31	metaheuristics	metaheuristic	NOUN
ejpam-4638	32	32	,	,	PUNCT
ejpam-4638	32	33	which	which	PRON
ejpam-4638	32	34	have	have	VERB
ejpam-4638	32	35	difficulty	difficulty	NOUN
ejpam-4638	32	36	in	in	ADP
ejpam-4638	32	37	satisfying	satisfy	VERB
ejpam-4638	32	38	both	both	CCONJ
ejpam-4638	32	39	the	the	DET
ejpam-4638	32	40	convergence	convergence	NOUN
ejpam-4638	32	41	and	and	CCONJ
ejpam-4638	32	42	distribution	distribution	NOUN
ejpam-4638	32	43	of	of	ADP
ejpam-4638	32	44	the	the	DET
ejpam-4638	32	45	produced	produce	VERB
ejpam-4638	32	46	solutions	solution	NOUN
ejpam-4638	32	47	.	.	PUNCT
ejpam-4638	33	1	this	this	PRON
ejpam-4638	33	2	is	be	AUX
ejpam-4638	33	3	why	why	SCONJ
ejpam-4638	33	4	many	many	ADJ
ejpam-4638	33	5	researchers	researcher	NOUN
ejpam-4638	33	6	today	today	NOUN
ejpam-4638	33	7	are	be	AUX
ejpam-4638	33	8	focusing	focus	VERB
ejpam-4638	33	9	their	their	PRON
ejpam-4638	33	10	efforts	effort	NOUN
ejpam-4638	33	11	on	on	ADP
ejpam-4638	33	12	resolving	resolve	VERB
ejpam-4638	33	13	these	these	DET
ejpam-4638	33	14	types	type	NOUN
ejpam-4638	33	15	of	of	ADP
ejpam-4638	33	16	issues	issue	NOUN
ejpam-4638	33	17	.	.	PUNCT
ejpam-4638	34	1	many	many	ADJ
ejpam-4638	34	2	recent	recent	ADJ
ejpam-4638	34	3	studies	study	NOUN
ejpam-4638	34	4	have	have	AUX
ejpam-4638	34	5	focused	focus	VERB
ejpam-4638	34	6	on	on	ADP
ejpam-4638	34	7	solving	solve	VERB
ejpam-4638	34	8	multiobjective	multiobjective	ADJ
ejpam-4638	34	9	optimization	optimization	NOUN
ejpam-4638	34	10	problems	problem	NOUN
ejpam-4638	34	11	using	use	VERB
ejpam-4638	34	12	metaheuristics	metaheuristic	NOUN
ejpam-4638	34	13	.	.	PUNCT
ejpam-4638	35	1	among	among	ADP
ejpam-4638	35	2	the	the	DET
ejpam-4638	35	3	numerous	numerous	ADJ
ejpam-4638	35	4	methods	method	NOUN
ejpam-4638	35	5	implemented	implement	VERB
ejpam-4638	35	6	,	,	PUNCT
ejpam-4638	35	7	the	the	DET
ejpam-4638	35	8	majority	majority	NOUN
ejpam-4638	35	9	is	be	AUX
ejpam-4638	35	10	based	base	VERB
ejpam-4638	35	11	on	on	ADP
ejpam-4638	35	12	genetic	genetic	ADJ
ejpam-4638	35	13	algorithms	algorithm	NOUN
ejpam-4638	35	14	.	.	PUNCT
ejpam-4638	36	1	in	in	ADP
ejpam-4638	36	2	1994	1994	NUM
ejpam-4638	36	3	,	,	PUNCT
ejpam-4638	36	4	n.	n.	PROPN
ejpam-4638	36	5	srinivas	srinivas	PROPN
ejpam-4638	36	6	and	and	CCONJ
ejpam-4638	36	7	deb	deb	PROPN
ejpam-4638	36	8	kalyanmoy[21	kalyanmoy[21	PROPN
ejpam-4638	36	9	]	]	PUNCT
ejpam-4638	36	10	proposed	propose	VERB
ejpam-4638	36	11	an	an	DET
ejpam-4638	36	12	evolutionary	evolutionary	ADJ
ejpam-4638	36	13	non	non	ADJ
ejpam-4638	36	14	-	-	ADJ
ejpam-4638	36	15	dominated	dominated	ADJ
ejpam-4638	36	16	sorting	sorting	NOUN
ejpam-4638	36	17	algorithm	algorithm	NOUN
ejpam-4638	36	18	based	base	VERB
ejpam-4638	36	19	on	on	ADP
ejpam-4638	36	20	genetic	genetic	ADJ
ejpam-4638	36	21	algorithms	algorithm	NOUN
ejpam-4638	36	22	(	(	PUNCT
ejpam-4638	36	23	nsga	nsga	NOUN
ejpam-4638	36	24	)	)	PUNCT
ejpam-4638	36	25	.	.	PUNCT
ejpam-4638	37	1	in	in	ADP
ejpam-4638	37	2	2002	2002	NUM
ejpam-4638	37	3	,	,	PUNCT
ejpam-4638	37	4	deb	deb	PROPN
ejpam-4638	37	5	et	et	PROPN
ejpam-4638	37	6	al.[3	al.[3	PROPN
ejpam-4638	37	7	]	]	PUNCT
ejpam-4638	37	8	proposed	propose	VERB
ejpam-4638	37	9	nsga	nsga	PROPN
ejpam-4638	37	10	-	-	PUNCT
ejpam-4638	37	11	ii	ii	PROPN
ejpam-4638	37	12	,	,	PUNCT
ejpam-4638	37	13	a	a	DET
ejpam-4638	37	14	method	method	NOUN
ejpam-4638	37	15	for	for	ADP
ejpam-4638	37	16	solving	solve	VERB
ejpam-4638	37	17	multiobjective	multiobjective	ADJ
ejpam-4638	37	18	problems	problem	NOUN
ejpam-4638	37	19	.	.	PUNCT
ejpam-4638	38	1	in	in	ADP
ejpam-4638	38	2	2006	2006	NUM
ejpam-4638	38	3	,	,	PUNCT
ejpam-4638	38	4	demin	demin	PROPN
ejpam-4638	38	5	lei	lei	PROPN
ejpam-4638	38	6	et	et	PROPN
ejpam-4638	38	7	al.[11	al.[11	PROPN
ejpam-4638	38	8	]	]	PUNCT
ejpam-4638	38	9	also	also	ADV
ejpam-4638	38	10	proposed	propose	VERB
ejpam-4638	38	11	in	in	ADP
ejpam-4638	38	12	a	a	DET
ejpam-4638	38	13	method	method	NOUN
ejpam-4638	38	14	of	of	ADP
ejpam-4638	38	15	solving	solve	VERB
ejpam-4638	38	16	planning	planning	NOUN
ejpam-4638	38	17	problems	problem	NOUN
ejpam-4638	38	18	.	.	PUNCT
ejpam-4638	39	1	in	in	ADP
ejpam-4638	39	2	2008	2008	NUM
ejpam-4638	39	3	,	,	PUNCT
ejpam-4638	39	4	hamidreza	hamidreza	PROPN
ejpam-4638	39	5	eskandari	eskandari	PROPN
ejpam-4638	39	6	and	and	CCONJ
ejpam-4638	39	7	christopher	christopher	PROPN
ejpam-4638	39	8	d.	d.	PROPN
ejpam-4638	39	9	geiger[7	geiger[7	PROPN
ejpam-4638	39	10	]	]	PUNCT
ejpam-4638	39	11	proposed	propose	VERB
ejpam-4638	39	12	an	an	DET
ejpam-4638	39	13	approach	approach	NOUN
ejpam-4638	39	14	to	to	ADP
ejpam-4638	39	15	solving	solve	VERB
ejpam-4638	39	16	multiobjective	multiobjective	ADJ
ejpam-4638	39	17	problems	problem	NOUN
ejpam-4638	39	18	that	that	PRON
ejpam-4638	39	19	is	be	AUX
ejpam-4638	39	20	costly	costly	ADJ
ejpam-4638	39	21	in	in	ADP
ejpam-4638	39	22	terms	term	NOUN
ejpam-4638	39	23	of	of	ADP
ejpam-4638	39	24	calculation	calculation	NOUN
ejpam-4638	39	25	time	time	NOUN
ejpam-4638	39	26	.	.	PUNCT
ejpam-4638	40	1	in	in	ADP
ejpam-4638	40	2	2011	2011	NUM
ejpam-4638	40	3	,	,	PUNCT
ejpam-4638	40	4	kounhinir	kounhinir	PROPN
ejpam-4638	40	5	somé	somé	VERB
ejpam-4638	40	6	et	et	NOUN
ejpam-4638	40	7	al.[20	al.[20	NOUN
ejpam-4638	40	8	]	]	PUNCT
ejpam-4638	40	9	proposed	propose	VERB
ejpam-4638	40	10	a	a	DET
ejpam-4638	40	11	new	new	ADJ
ejpam-4638	40	12	non	non	ADJ
ejpam-4638	40	13	-	-	ADJ
ejpam-4638	40	14	stochastic	stochastic	ADJ
ejpam-4638	40	15	metaheuristic	metaheuristic	NOUN
ejpam-4638	40	16	for	for	ADP
ejpam-4638	40	17	solving	solve	VERB
ejpam-4638	40	18	multiobjective	multiobjective	ADJ
ejpam-4638	40	19	nonlinear	nonlinear	ADJ
ejpam-4638	40	20	optimization	optimization	NOUN
ejpam-4638	40	21	problems	problem	NOUN
ejpam-4638	40	22	.	.	PUNCT
ejpam-4638	41	1	similarly	similarly	ADV
ejpam-4638	41	2	,	,	PUNCT
ejpam-4638	41	3	yujun	yujun	PROPN
ejpam-4638	41	4	zheng	zheng	PROPN
ejpam-4638	41	5	et	et	PROPN
ejpam-4638	41	6	al.[26	al.[26	PROPN
ejpam-4638	41	7	]	]	PUNCT
ejpam-4638	41	8	proposed	propose	VERB
ejpam-4638	41	9	a	a	DET
ejpam-4638	41	10	taboo	taboo	NOUN
ejpam-4638	41	11	-	-	PUNCT
ejpam-4638	41	12	based	base	VERB
ejpam-4638	41	13	method	method	NOUN
ejpam-4638	41	14	for	for	ADP
ejpam-4638	41	15	solving	solve	VERB
ejpam-4638	41	16	planning	planning	NOUN
ejpam-4638	41	17	problems	problem	NOUN
ejpam-4638	41	18	.	.	PUNCT
ejpam-4638	42	1	all	all	PRON
ejpam-4638	42	2	of	of	ADP
ejpam-4638	42	3	these	these	DET
ejpam-4638	42	4	methods	method	NOUN
ejpam-4638	42	5	are	be	AUX
ejpam-4638	42	6	for	for	ADP
ejpam-4638	42	7	multiobjective	multiobjective	ADJ
ejpam-4638	42	8	case	case	NOUN
ejpam-4638	42	9	,	,	PUNCT
ejpam-4638	42	10	but	but	CCONJ
ejpam-4638	42	11	in	in	ADP
ejpam-4638	42	12	general	general	ADJ
ejpam-4638	42	13	,	,	PUNCT
ejpam-4638	42	14	they	they	PRON
ejpam-4638	42	15	are	be	AUX
ejpam-4638	42	16	built	build	VERB
ejpam-4638	42	17	for	for	ADP
ejpam-4638	42	18	single	single	ADJ
ejpam-4638	42	19	objective	objective	ADJ
ejpam-4638	42	20	case	case	NOUN
ejpam-4638	42	21	at	at	ADP
ejpam-4638	42	22	the	the	DET
ejpam-4638	42	23	beginning	beginning	NOUN
ejpam-4638	42	24	.	.	PUNCT
ejpam-4638	43	1	for	for	ADP
ejpam-4638	43	2	example	example	NOUN
ejpam-4638	43	3	,	,	PUNCT
ejpam-4638	43	4	in	in	ADP
ejpam-4638	43	5	2014	2014	NUM
ejpam-4638	43	6	,	,	PUNCT
ejpam-4638	43	7	seyedali	seyedali	VERB
ejpam-4638	43	8	et	et	PROPN
ejpam-4638	43	9	al.[21	al.[21	PROPN
ejpam-4638	43	10	]	]	PUNCT
ejpam-4638	43	11	implemented	implement	VERB
ejpam-4638	43	12	an	an	DET
ejpam-4638	43	13	effective	effective	ADJ
ejpam-4638	43	14	single	single	ADJ
ejpam-4638	43	15	objective	objective	ADJ
ejpam-4638	43	16	optimization	optimization	NOUN
ejpam-4638	43	17	heuristic	heuristic	NOUN
ejpam-4638	43	18	based	base	VERB
ejpam-4638	43	19	on	on	ADP
ejpam-4638	43	20	the	the	DET
ejpam-4638	43	21	grey	grey	ADJ
ejpam-4638	43	22	wolf	wolf	PROPN
ejpam-4638	43	23	hunting	hunt	VERB
ejpam-4638	43	24	principle	principle	NOUN
ejpam-4638	43	25	,	,	PUNCT
ejpam-4638	43	26	the	the	DET
ejpam-4638	43	27	grey	grey	ADJ
ejpam-4638	43	28	wolf	wolf	PROPN
ejpam-4638	43	29	optimizer(gwo	optimizer(gwo	PROPN
ejpam-4638	43	30	)	)	PUNCT
ejpam-4638	43	31	algorithm	algorithm	NOUN
ejpam-4638	43	32	.	.	PUNCT
ejpam-4638	44	1	which	which	PRON
ejpam-4638	44	2	is	be	AUX
ejpam-4638	44	3	used	use	VERB
ejpam-4638	44	4	by	by	ADP
ejpam-4638	44	5	many	many	ADJ
ejpam-4638	44	6	works	work	NOUN
ejpam-4638	44	7	such	such	ADJ
ejpam-4638	44	8	as	as	ADP
ejpam-4638	44	9	the	the	DET
ejpam-4638	44	10	resolution	resolution	NOUN
ejpam-4638	44	11	of	of	ADP
ejpam-4638	44	12	problem	problem	NOUN
ejpam-4638	44	13	with	with	ADP
ejpam-4638	44	14	large	large	ADJ
ejpam-4638	44	15	data	datum	NOUN
ejpam-4638	44	16	by	by	ADP
ejpam-4638	44	17	long	long	ADJ
ejpam-4638	44	18	et	et	NOUN
ejpam-4638	44	19	al.[13	al.[13	NOUN
ejpam-4638	44	20	]	]	PUNCT
ejpam-4638	44	21	;	;	PUNCT
ejpam-4638	44	22	the	the	DET
ejpam-4638	44	23	solving	solving	NOUN
ejpam-4638	44	24	of	of	ADP
ejpam-4638	44	25	adjustable	adjustable	ADJ
ejpam-4638	44	26	parametric	parametric	ADJ
ejpam-4638	44	27	problems	problem	NOUN
ejpam-4638	44	28	by	by	ADP
ejpam-4638	44	29	long	long	ADJ
ejpam-4638	44	30	wen[22	wen[22	NOUN
ejpam-4638	44	31	]	]	PUNCT
ejpam-4638	44	32	and	and	CCONJ
ejpam-4638	44	33	the	the	DET
ejpam-4638	44	34	search	search	NOUN
ejpam-4638	44	35	of	of	ADP
ejpam-4638	44	36	global	global	ADJ
ejpam-4638	44	37	optimum	optimum	NOUN
ejpam-4638	44	38	of	of	ADP
ejpam-4638	44	39	positive	positive	ADJ
ejpam-4638	44	40	function	function	NOUN
ejpam-4638	44	41	by	by	ADP
ejpam-4638	44	42	combining	combine	VERB
ejpam-4638	44	43	gwo	gwo	PROPN
ejpam-4638	44	44	algorithm	algorithm	NOUN
ejpam-4638	44	45	with	with	ADP
ejpam-4638	44	46	genetic	genetic	ADJ
ejpam-4638	44	47	algorithm	algorithm	NOUN
ejpam-4638	44	48	.	.	PUNCT
ejpam-4638	45	1	w.	w.	PROPN
ejpam-4638	45	2	w.	w.	PROPN
ejpam-4638	45	3	bamogo	bamogo	PROPN
ejpam-4638	45	4	,	,	PUNCT
ejpam-4638	45	5	j.	j.	PROPN
ejpam-4638	45	6	poda	poda	PROPN
ejpam-4638	45	7	,	,	PUNCT
ejpam-4638	45	8	k.	k.	PROPN
ejpam-4638	45	9	somé	somé	PROPN
ejpam-4638	45	10	/	/	SYM
ejpam-4638	45	11	eur	eur	PROPN
ejpam-4638	45	12	.	.	PUNCT
ejpam-4638	46	1	j.	j.	PROPN
ejpam-4638	46	2	pure	pure	PROPN
ejpam-4638	46	3	appl	appl	PROPN
ejpam-4638	46	4	.	.	PROPN
ejpam-4638	46	5	math	math	PROPN
ejpam-4638	46	6	,	,	PUNCT
ejpam-4638	46	7	16	16	NUM
ejpam-4638	46	8	(	(	PUNCT
ejpam-4638	46	9	1	1	NUM
ejpam-4638	46	10	)	)	PUNCT
ejpam-4638	46	11	(	(	PUNCT
ejpam-4638	46	12	2023	2023	NUM
ejpam-4638	46	13	)	)	PUNCT
ejpam-4638	46	14	,	,	PUNCT
ejpam-4638	46	15	595	595	NUM
ejpam-4638	46	16	-	-	SYM
ejpam-4638	46	17	608	608	NUM
ejpam-4638	46	18	597	597	NUM
ejpam-4638	46	19	o.	o.	NOUN
ejpam-4638	46	20	sawadogo	sawadogo	NOUN
ejpam-4638	46	21	et	et	PROPN
ejpam-4638	46	22	al.[16	al.[16	PROPN
ejpam-4638	46	23	]	]	PUNCT
ejpam-4638	46	24	provided	provide	VERB
ejpam-4638	46	25	this	this	DET
ejpam-4638	46	26	work	work	NOUN
ejpam-4638	46	27	in	in	ADP
ejpam-4638	46	28	2019	2019	NUM
ejpam-4638	46	29	.	.	PUNCT
ejpam-4638	47	1	the	the	DET
ejpam-4638	47	2	method	method	NOUN
ejpam-4638	47	3	called	call	VERB
ejpam-4638	47	4	modified	modify	VERB
ejpam-4638	47	5	hybrid	hybrid	ADJ
ejpam-4638	47	6	grey	grey	NOUN
ejpam-4638	47	7	wolf	wolf	NOUN
ejpam-4638	47	8	optimizer	optimizer	NOUN
ejpam-4638	47	9	and	and	CCONJ
ejpam-4638	47	10	genetic	genetic	ADJ
ejpam-4638	47	11	algorithm	algorithm	NOUN
ejpam-4638	47	12	(	(	PUNCT
ejpam-4638	47	13	hmgwoga	hmgwoga	NOUN
ejpam-4638	47	14	)	)	PUNCT
ejpam-4638	47	15	is	be	AUX
ejpam-4638	47	16	the	the	DET
ejpam-4638	47	17	result	result	NOUN
ejpam-4638	47	18	.	.	PUNCT
ejpam-4638	48	1	many	many	ADJ
ejpam-4638	48	2	other	other	ADJ
ejpam-4638	48	3	works	work	NOUN
ejpam-4638	48	4	have	have	AUX
ejpam-4638	48	5	been	be	AUX
ejpam-4638	48	6	done	do	VERB
ejpam-4638	48	7	,	,	PUNCT
ejpam-4638	48	8	inspiring	inspire	VERB
ejpam-4638	48	9	on	on	ADP
ejpam-4638	48	10	the	the	DET
ejpam-4638	48	11	gwo	gwo	NOUN
ejpam-4638	48	12	after	after	ADP
ejpam-4638	48	13	this	this	DET
ejpam-4638	48	14	works	work	NOUN
ejpam-4638	48	15	.	.	PUNCT
ejpam-4638	49	1	in	in	ADP
ejpam-4638	49	2	2020	2020	NUM
ejpam-4638	49	3	,	,	PUNCT
ejpam-4638	49	4	shubham	shubham	PROPN
ejpam-4638	49	5	et	et	PROPN
ejpam-4638	49	6	al.[8	al.[8	PROPN
ejpam-4638	49	7	]	]	PUNCT
ejpam-4638	49	8	proposed	propose	VERB
ejpam-4638	49	9	enhanced	enhance	VERB
ejpam-4638	49	10	leadership	leadership	NOUN
ejpam-4638	49	11	-	-	PUNCT
ejpam-4638	49	12	inspired	inspire	VERB
ejpam-4638	49	13	grey	grey	ADJ
ejpam-4638	49	14	wolf	wolf	PROPN
ejpam-4638	49	15	optimizer	optimizer	NOUN
ejpam-4638	49	16	for	for	ADP
ejpam-4638	49	17	global	global	ADJ
ejpam-4638	49	18	optimization	optimization	NOUN
ejpam-4638	49	19	problem	problem	NOUN
ejpam-4638	49	20	.	.	PUNCT
ejpam-4638	50	1	in	in	ADP
ejpam-4638	50	2	2021	2021	NUM
ejpam-4638	50	3	,	,	PUNCT
ejpam-4638	50	4	wei	wei	PROPN
ejpam-4638	50	5	et	et	PROPN
ejpam-4638	50	6	al.[24	al.[24	PROPN
ejpam-4638	50	7	]	]	PUNCT
ejpam-4638	50	8	published	publish	VERB
ejpam-4638	50	9	their	their	PRON
ejpam-4638	50	10	works	work	NOUN
ejpam-4638	50	11	on	on	ADP
ejpam-4638	50	12	path	path	NOUN
ejpam-4638	50	13	planning	planning	NOUN
ejpam-4638	50	14	of	of	ADP
ejpam-4638	50	15	uav	uav	PROPN
ejpam-4638	50	16	based	base	VERB
ejpam-4638	50	17	on	on	ADP
ejpam-4638	50	18	improved	improve	VERB
ejpam-4638	50	19	adaptive	adaptive	ADJ
ejpam-4638	50	20	grey	grey	ADJ
ejpam-4638	50	21	wolf	wolf	PROPN
ejpam-4638	50	22	optimization	optimization	NOUN
ejpam-4638	50	23	algorithm	algorithm	NOUN
ejpam-4638	50	24	.	.	PUNCT
ejpam-4638	51	1	in	in	ADP
ejpam-4638	51	2	2022	2022	NUM
ejpam-4638	51	3	,	,	PUNCT
ejpam-4638	51	4	zeynab	zeynab	PROPN
ejpam-4638	51	5	et	et	PROPN
ejpam-4638	51	6	al.[10	al.[10	PROPN
ejpam-4638	51	7	]	]	PUNCT
ejpam-4638	51	8	suggested	suggest	VERB
ejpam-4638	51	9	a	a	DET
ejpam-4638	51	10	new	new	ADJ
ejpam-4638	51	11	enhanced	enhanced	ADJ
ejpam-4638	51	12	hybrid	hybrid	ADJ
ejpam-4638	51	13	grey	grey	NOUN
ejpam-4638	51	14	wolf	wolf	PROPN
ejpam-4638	51	15	optimizer	optimizer	NOUN
ejpam-4638	51	16	(	(	PUNCT
ejpam-4638	51	17	gwo	gwo	PROPN
ejpam-4638	51	18	)	)	PUNCT
ejpam-4638	51	19	combined	combine	VERB
ejpam-4638	51	20	with	with	ADP
ejpam-4638	51	21	elephant	elephant	NOUN
ejpam-4638	51	22	herding	herding	NOUN
ejpam-4638	51	23	optimization	optimization	NOUN
ejpam-4638	51	24	(	(	PUNCT
ejpam-4638	51	25	eho	eho	NOUN
ejpam-4638	51	26	)	)	PUNCT
ejpam-4638	51	27	algorithm	algorithm	NOUN
ejpam-4638	51	28	for	for	ADP
ejpam-4638	51	29	engineering	engineer	VERB
ejpam-4638	51	30	optimization	optimization	NOUN
ejpam-4638	51	31	;	;	PUNCT
ejpam-4638	51	32	and	and	CCONJ
ejpam-4638	51	33	sofora	sofora	VERB
ejpam-4638	51	34	et	et	PROPN
ejpam-4638	51	35	al.[1	al.[1	PROPN
ejpam-4638	51	36	]	]	PUNCT
ejpam-4638	51	37	presented	present	VERB
ejpam-4638	51	38	a	a	DET
ejpam-4638	51	39	paper	paper	NOUN
ejpam-4638	51	40	on	on	ADP
ejpam-4638	51	41	a	a	DET
ejpam-4638	51	42	condition	condition	NOUN
ejpam-4638	51	43	-	-	PUNCT
ejpam-4638	51	44	based	base	VERB
ejpam-4638	51	45	grey	grey	PROPN
ejpam-4638	51	46	wolf	wolf	PROPN
ejpam-4638	51	47	optimizer	optimizer	NOUN
ejpam-4638	51	48	algorithm	algorithm	NOUN
ejpam-4638	51	49	for	for	ADP
ejpam-4638	51	50	global	global	ADJ
ejpam-4638	51	51	optimization	optimization	NOUN
ejpam-4638	51	52	problems	problem	NOUN
ejpam-4638	51	53	.	.	PUNCT
ejpam-4638	52	1	many	many	ADJ
ejpam-4638	52	2	methods	method	NOUN
ejpam-4638	52	3	for	for	ADP
ejpam-4638	52	4	resolving	resolve	VERB
ejpam-4638	52	5	multiobjective	multiobjective	ADJ
ejpam-4638	52	6	optimization	optimization	NOUN
ejpam-4638	52	7	transform	transform	VERB
ejpam-4638	52	8	the	the	DET
ejpam-4638	52	9	objectives	objective	NOUN
ejpam-4638	52	10	of	of	ADP
ejpam-4638	52	11	the	the	DET
ejpam-4638	52	12	problem	problem	NOUN
ejpam-4638	52	13	into	into	ADP
ejpam-4638	52	14	a	a	DET
ejpam-4638	52	15	global	global	ADJ
ejpam-4638	52	16	objective	objective	NOUN
ejpam-4638	52	17	through	through	ADP
ejpam-4638	52	18	the	the	DET
ejpam-4638	52	19	use	use	NOUN
ejpam-4638	52	20	of	of	ADP
ejpam-4638	52	21	a	a	DET
ejpam-4638	52	22	scalar	scalar	ADJ
ejpam-4638	52	23	aggregation	aggregation	NOUN
ejpam-4638	52	24	approach	approach	NOUN
ejpam-4638	52	25	or	or	CCONJ
ejpam-4638	52	26	a	a	DET
ejpam-4638	52	27	non	non	ADJ
ejpam-4638	52	28	-	-	ADJ
ejpam-4638	52	29	scalar	scalar	ADJ
ejpam-4638	52	30	aggregation	aggregation	NOUN
ejpam-4638	52	31	approach[12	approach[12	NOUN
ejpam-4638	52	32	,	,	PUNCT
ejpam-4638	52	33	19	19	NUM
ejpam-4638	52	34	,	,	PUNCT
ejpam-4638	52	35	23	23	NUM
ejpam-4638	52	36	]	]	PUNCT
ejpam-4638	52	37	.	.	PUNCT
ejpam-4638	53	1	the	the	DET
ejpam-4638	53	2	first	first	ADJ
ejpam-4638	53	3	case	case	NOUN
ejpam-4638	53	4	occurs	occur	VERB
ejpam-4638	53	5	when	when	SCONJ
ejpam-4638	53	6	weights	weight	NOUN
ejpam-4638	53	7	are	be	AUX
ejpam-4638	53	8	used	use	VERB
ejpam-4638	53	9	to	to	PART
ejpam-4638	53	10	prioritize	prioritize	VERB
ejpam-4638	53	11	each	each	DET
ejpam-4638	53	12	objective	objective	NOUN
ejpam-4638	53	13	that	that	PRON
ejpam-4638	53	14	requires	require	VERB
ejpam-4638	53	15	the	the	DET
ejpam-4638	53	16	decision	decision	NOUN
ejpam-4638	53	17	maker	maker	NOUN
ejpam-4638	53	18	’s	’s	PART
ejpam-4638	53	19	intervention	intervention	NOUN
ejpam-4638	53	20	,	,	PUNCT
ejpam-4638	53	21	and	and	CCONJ
ejpam-4638	53	22	the	the	DET
ejpam-4638	53	23	second	second	ADJ
ejpam-4638	53	24	case	case	NOUN
ejpam-4638	53	25	does	do	AUX
ejpam-4638	53	26	not	not	PART
ejpam-4638	53	27	use	use	VERB
ejpam-4638	53	28	weights	weight	NOUN
ejpam-4638	53	29	.	.	PUNCT
ejpam-4638	54	1	the	the	DET
ejpam-4638	54	2	ϵ-approach[2	ϵ-approach[2	NUM
ejpam-4638	54	3	,	,	PUNCT
ejpam-4638	54	4	14	14	NUM
ejpam-4638	54	5	]	]	PUNCT
ejpam-4638	54	6	is	be	AUX
ejpam-4638	54	7	one	one	NUM
ejpam-4638	54	8	of	of	ADP
ejpam-4638	54	9	this	this	DET
ejpam-4638	54	10	second	second	ADJ
ejpam-4638	54	11	class	class	NOUN
ejpam-4638	54	12	.	.	PUNCT
ejpam-4638	55	1	it	it	PRON
ejpam-4638	55	2	was	be	AUX
ejpam-4638	55	3	developed	develop	VERB
ejpam-4638	55	4	by	by	ADP
ejpam-4638	55	5	haimes	haime	NOUN
ejpam-4638	55	6	et	et	PROPN
ejpam-4638	55	7	al.[9	al.[9	PROPN
ejpam-4638	55	8	]	]	PUNCT
ejpam-4638	55	9	and	and	CCONJ
ejpam-4638	55	10	has	have	AUX
ejpam-4638	55	11	caught	catch	VERB
ejpam-4638	55	12	our	our	PRON
ejpam-4638	55	13	attention	attention	NOUN
ejpam-4638	55	14	because	because	SCONJ
ejpam-4638	55	15	of	of	ADP
ejpam-4638	55	16	its	its	PRON
ejpam-4638	55	17	ability	ability	NOUN
ejpam-4638	55	18	to	to	PART
ejpam-4638	55	19	give	give	VERB
ejpam-4638	55	20	all	all	DET
ejpam-4638	55	21	the	the	DET
ejpam-4638	55	22	best	good	ADJ
ejpam-4638	55	23	pareto	pareto	ADJ
ejpam-4638	55	24	optimal	optimal	ADJ
ejpam-4638	55	25	solutions	solution	NOUN
ejpam-4638	55	26	.	.	PUNCT
ejpam-4638	56	1	in	in	ADP
ejpam-4638	56	2	this	this	DET
ejpam-4638	56	3	work	work	NOUN
ejpam-4638	56	4	,	,	PUNCT
ejpam-4638	56	5	we	we	PRON
ejpam-4638	56	6	propose	propose	VERB
ejpam-4638	56	7	a	a	DET
ejpam-4638	56	8	new	new	ADJ
ejpam-4638	56	9	metaheuristic	metaheuristic	NOUN
ejpam-4638	56	10	for	for	ADP
ejpam-4638	56	11	solving	solve	VERB
ejpam-4638	56	12	multiobjective	multiobjective	ADJ
ejpam-4638	56	13	optimization	optimization	NOUN
ejpam-4638	56	14	problems	problem	NOUN
ejpam-4638	56	15	that	that	PRON
ejpam-4638	56	16	is	be	AUX
ejpam-4638	56	17	a	a	DET
ejpam-4638	56	18	hybridization	hybridization	NOUN
ejpam-4638	56	19	of	of	ADP
ejpam-4638	56	20	the	the	DET
ejpam-4638	56	21	hmgwoga	hmgwoga	NOUN
ejpam-4638	56	22	method	method	NOUN
ejpam-4638	56	23	,	,	PUNCT
ejpam-4638	56	24	the	the	DET
ejpam-4638	56	25	lagrangian	lagrangian	ADJ
ejpam-4638	56	26	penalty	penalty	NOUN
ejpam-4638	56	27	function	function	NOUN
ejpam-4638	56	28	,	,	PUNCT
ejpam-4638	56	29	and	and	CCONJ
ejpam-4638	56	30	the	the	DET
ejpam-4638	56	31	ϵ-constraint	ϵ-constraint	NOUN
ejpam-4638	56	32	approach	approach	NOUN
ejpam-4638	56	33	.	.	PUNCT
ejpam-4638	57	1	it	it	PRON
ejpam-4638	57	2	is	be	AUX
ejpam-4638	57	3	called	call	VERB
ejpam-4638	57	4	multiobjective	multiobjective	ADJ
ejpam-4638	57	5	optimizer	optimizer	NOUN
ejpam-4638	57	6	based	base	VERB
ejpam-4638	57	7	on	on	ADP
ejpam-4638	57	8	green	green	ADJ
ejpam-4638	57	9	wolves	wolf	NOUN
ejpam-4638	57	10	attack	attack	NOUN
ejpam-4638	57	11	technic	technic	NOUN
ejpam-4638	57	12	(	(	PUNCT
ejpam-4638	57	13	hmgwoga	hmgwoga	NOUN
ejpam-4638	57	14	-	-	PUNCT
ejpam-4638	57	15	mo	mo	NOUN
ejpam-4638	57	16	)	)	PUNCT
ejpam-4638	57	17	.	.	PUNCT
ejpam-4638	58	1	our	our	PRON
ejpam-4638	58	2	approach	approach	NOUN
ejpam-4638	58	3	involves	involve	VERB
ejpam-4638	58	4	transforming	transform	VERB
ejpam-4638	58	5	an	an	DET
ejpam-4638	58	6	initial	initial	ADJ
ejpam-4638	58	7	constrained	constrain	VERB
ejpam-4638	58	8	multiobjective	multiobjective	ADJ
ejpam-4638	58	9	optimization	optimization	NOUN
ejpam-4638	58	10	problem	problem	NOUN
ejpam-4638	58	11	into	into	ADP
ejpam-4638	58	12	an	an	DET
ejpam-4638	58	13	unconstrained	unconstrained	ADJ
ejpam-4638	58	14	single	single	ADJ
ejpam-4638	58	15	objective	objective	ADJ
ejpam-4638	58	16	optimization	optimization	NOUN
ejpam-4638	58	17	problem	problem	NOUN
ejpam-4638	58	18	.	.	PUNCT
ejpam-4638	59	1	some	some	DET
ejpam-4638	59	2	theoretical	theoretical	ADJ
ejpam-4638	59	3	convergence	convergence	NOUN
ejpam-4638	59	4	results	result	NOUN
ejpam-4638	59	5	are	be	AUX
ejpam-4638	59	6	obtained	obtain	VERB
ejpam-4638	59	7	through	through	ADP
ejpam-4638	59	8	theorem	theorem	ADJ
ejpam-4638	59	9	proofs	proof	NOUN
ejpam-4638	59	10	,	,	PUNCT
ejpam-4638	59	11	and	and	CCONJ
ejpam-4638	59	12	numerical	numerical	ADJ
ejpam-4638	59	13	performances	performance	NOUN
ejpam-4638	59	14	are	be	AUX
ejpam-4638	59	15	proved	prove	VERB
ejpam-4638	59	16	through	through	ADP
ejpam-4638	59	17	the	the	DET
ejpam-4638	59	18	solving	solving	NOUN
ejpam-4638	59	19	of	of	ADP
ejpam-4638	59	20	five	five	NUM
ejpam-4638	59	21	test	test	NOUN
ejpam-4638	59	22	problems	problem	NOUN
ejpam-4638	59	23	taken	take	VERB
ejpam-4638	59	24	from	from	ADP
ejpam-4638	59	25	the	the	DET
ejpam-4638	59	26	literature	literature	NOUN
ejpam-4638	60	1	[	[	X
ejpam-4638	60	2	3	3	NUM
ejpam-4638	60	3	]	]	PUNCT
ejpam-4638	60	4	.	.	PUNCT
ejpam-4638	61	1	among	among	ADP
ejpam-4638	61	2	these	these	DET
ejpam-4638	61	3	problems	problem	NOUN
ejpam-4638	61	4	,	,	PUNCT
ejpam-4638	61	5	we	we	PRON
ejpam-4638	61	6	have	have	VERB
ejpam-4638	61	7	the	the	DET
ejpam-4638	61	8	case	case	NOUN
ejpam-4638	61	9	where	where	SCONJ
ejpam-4638	61	10	the	the	DET
ejpam-4638	61	11	pareto	pareto	ADJ
ejpam-4638	61	12	front	front	NOUN
ejpam-4638	61	13	is	be	AUX
ejpam-4638	61	14	convex	convex	NOUN
ejpam-4638	61	15	,	,	PUNCT
ejpam-4638	61	16	concave	concave	NOUN
ejpam-4638	61	17	,	,	PUNCT
ejpam-4638	61	18	or	or	CCONJ
ejpam-4638	61	19	discontinuous	discontinuous	ADJ
ejpam-4638	61	20	.	.	PUNCT
ejpam-4638	62	1	the	the	DET
ejpam-4638	62	2	results	result	NOUN
ejpam-4638	62	3	from	from	ADP
ejpam-4638	62	4	these	these	DET
ejpam-4638	62	5	problems	problem	NOUN
ejpam-4638	62	6	show	show	VERB
ejpam-4638	62	7	the	the	DET
ejpam-4638	62	8	effectiveness	effectiveness	NOUN
ejpam-4638	62	9	of	of	ADP
ejpam-4638	62	10	our	our	PRON
ejpam-4638	62	11	method	method	NOUN
ejpam-4638	62	12	.	.	PUNCT
ejpam-4638	63	1	our	our	PRON
ejpam-4638	63	2	work	work	NOUN
ejpam-4638	63	3	will	will	AUX
ejpam-4638	63	4	be	be	AUX
ejpam-4638	63	5	presented	present	VERB
ejpam-4638	63	6	as	as	SCONJ
ejpam-4638	63	7	follows	follow	VERB
ejpam-4638	63	8	:	:	PUNCT
ejpam-4638	63	9	section	section	NOUN
ejpam-4638	63	10	2	2	NUM
ejpam-4638	63	11	is	be	AUX
ejpam-4638	63	12	devoted	devote	VERB
ejpam-4638	63	13	to	to	ADP
ejpam-4638	63	14	the	the	DET
ejpam-4638	63	15	preliminary	preliminary	NOUN
ejpam-4638	63	16	;	;	PUNCT
ejpam-4638	63	17	section	section	NOUN
ejpam-4638	63	18	3	3	NUM
ejpam-4638	63	19	to	to	ADP
ejpam-4638	63	20	the	the	DET
ejpam-4638	63	21	presentation	presentation	NOUN
ejpam-4638	63	22	of	of	ADP
ejpam-4638	63	23	our	our	PRON
ejpam-4638	63	24	results	result	NOUN
ejpam-4638	63	25	;	;	PUNCT
ejpam-4638	63	26	and	and	CCONJ
ejpam-4638	63	27	section	section	NOUN
ejpam-4638	63	28	4	4	NUM
ejpam-4638	63	29	will	will	AUX
ejpam-4638	63	30	be	be	AUX
ejpam-4638	63	31	dedicated	dedicate	VERB
ejpam-4638	63	32	to	to	ADP
ejpam-4638	63	33	the	the	DET
ejpam-4638	63	34	conclusion	conclusion	NOUN
ejpam-4638	63	35	.	.	PUNCT
ejpam-4638	64	1	2	2	X
ejpam-4638	64	2	.	.	NUM
ejpam-4638	64	3	preliminaries	preliminary	NOUN
ejpam-4638	64	4	2.1	2.1	NUM
ejpam-4638	64	5	.	.	PUNCT
ejpam-4638	65	1	ε	ε	NOUN
ejpam-4638	65	2	-	-	PUNCT
ejpam-4638	65	3	constraint	constraint	NOUN
ejpam-4638	65	4	approach	approach	NOUN
ejpam-4638	65	5	the	the	DET
ejpam-4638	65	6	technique	technique	NOUN
ejpam-4638	65	7	of	of	ADP
ejpam-4638	65	8	the	the	DET
ejpam-4638	65	9	ϵ-constraint	ϵ-constraint	NOUN
ejpam-4638	65	10	is	be	AUX
ejpam-4638	65	11	to	to	PART
ejpam-4638	65	12	choose	choose	VERB
ejpam-4638	65	13	only	only	ADV
ejpam-4638	65	14	one	one	NUM
ejpam-4638	65	15	of	of	ADP
ejpam-4638	65	16	the	the	DET
ejpam-4638	65	17	objective	objective	ADJ
ejpam-4638	65	18	functions	function	NOUN
ejpam-4638	65	19	to	to	PART
ejpam-4638	65	20	optimize	optimize	VERB
ejpam-4638	65	21	,	,	PUNCT
ejpam-4638	65	22	and	and	CCONJ
ejpam-4638	65	23	make	make	VERB
ejpam-4638	65	24	the	the	DET
ejpam-4638	65	25	other	other	ADJ
ejpam-4638	65	26	one	one	NUM
ejpam-4638	65	27	into	into	ADP
ejpam-4638	65	28	constraints	constraint	NOUN
ejpam-4638	65	29	.	.	PUNCT
ejpam-4638	66	1	those	those	PRON
ejpam-4638	66	2	will	will	AUX
ejpam-4638	66	3	be	be	AUX
ejpam-4638	66	4	added	add	VERB
ejpam-4638	66	5	to	to	ADP
ejpam-4638	66	6	the	the	DET
ejpam-4638	66	7	initial	initial	ADJ
ejpam-4638	66	8	constraints	constraint	NOUN
ejpam-4638	66	9	.	.	PUNCT
ejpam-4638	67	1	this	this	DET
ejpam-4638	67	2	transformation	transformation	NOUN
ejpam-4638	67	3	results	result	VERB
ejpam-4638	67	4	in	in	ADP
ejpam-4638	67	5	a	a	DET
ejpam-4638	67	6	single	single	ADJ
ejpam-4638	67	7	objective	objective	ADJ
ejpam-4638	67	8	function	function	NOUN
ejpam-4638	67	9	problem	problem	NOUN
ejpam-4638	67	10	.	.	PUNCT
ejpam-4638	68	1	let	let	VERB
ejpam-4638	68	2	us	we	PRON
ejpam-4638	68	3	consider	consider	VERB
ejpam-4638	68	4	the	the	DET
ejpam-4638	68	5	problem	problem	NOUN
ejpam-4638	68	6	(	(	PUNCT
ejpam-4638	68	7	mop	mop	PROPN
ejpam-4638	68	8	)	)	PUNCT
ejpam-4638	68	9	and	and	CCONJ
ejpam-4638	68	10	use	use	VERB
ejpam-4638	68	11	fp	fp	NOUN
ejpam-4638	68	12	,	,	PUNCT
ejpam-4638	68	13	p	p	PROPN
ejpam-4638	68	14	∈	∈	PROPN
ejpam-4638	68	15	{	{	PUNCT
ejpam-4638	68	16	1	1	NUM
ejpam-4638	68	17	,	,	PUNCT
ejpam-4638	68	18	2	2	NUM
ejpam-4638	68	19	,	,	PUNCT
ejpam-4638	68	20	·	·	PUNCT
ejpam-4638	68	21	·	·	PUNCT
ejpam-4638	68	22	·	·	PUNCT
ejpam-4638	68	23	,	,	PUNCT
ejpam-4638	68	24	k	k	NOUN
ejpam-4638	68	25	}	}	PUNCT
ejpam-4638	68	26	as	as	ADP
ejpam-4638	68	27	a	a	DET
ejpam-4638	68	28	priority	priority	NOUN
ejpam-4638	68	29	objective	objective	ADJ
ejpam-4638	68	30	function	function	NOUN
ejpam-4638	68	31	.	.	PUNCT
ejpam-4638	69	1	w.	w.	PROPN
ejpam-4638	69	2	bamogo	bamogo	PROPN
ejpam-4638	69	3	,	,	PUNCT
ejpam-4638	69	4	j.	j.	PROPN
ejpam-4638	69	5	poda	poda	PROPN
ejpam-4638	69	6	,	,	PUNCT
ejpam-4638	69	7	k.	k.	PROPN
ejpam-4638	69	8	somé	somé	PROPN
ejpam-4638	69	9	/	/	SYM
ejpam-4638	69	10	eur	eur	PROPN
ejpam-4638	69	11	.	.	PUNCT
ejpam-4638	70	1	j.	j.	PROPN
ejpam-4638	70	2	pure	pure	PROPN
ejpam-4638	70	3	appl	appl	PROPN
ejpam-4638	70	4	.	.	PROPN
ejpam-4638	70	5	math	math	PROPN
ejpam-4638	70	6	,	,	PUNCT
ejpam-4638	70	7	16	16	NUM
ejpam-4638	70	8	(	(	PUNCT
ejpam-4638	70	9	1	1	NUM
ejpam-4638	70	10	)	)	PUNCT
ejpam-4638	70	11	(	(	PUNCT
ejpam-4638	70	12	2023	2023	NUM
ejpam-4638	70	13	)	)	PUNCT
ejpam-4638	70	14	,	,	PUNCT
ejpam-4638	70	15	595	595	NUM
ejpam-4638	70	16	-	-	SYM
ejpam-4638	70	17	608	608	NUM
ejpam-4638	70	18	598	598	NUM
ejpam-4638	70	19	the	the	DET
ejpam-4638	70	20	final	final	ADJ
ejpam-4638	70	21	formulation	formulation	NOUN
ejpam-4638	70	22	is	be	AUX
ejpam-4638	70	23	presented	present	VERB
ejpam-4638	70	24	below[5]:	below[5]:	PROPN
ejpam-4638	70	25	min	min	PROPN
ejpam-4638	70	26	fp(x	fp(x	PROPN
ejpam-4638	70	27	)	)	PUNCT
ejpam-4638	70	28	;	;	PUNCT
ejpam-4638	70	29	subject	subject	ADJ
ejpam-4638	70	30	to	to	ADP
ejpam-4638	70	31	fi(x	fi(x	NUM
ejpam-4638	70	32	)	)	PUNCT
ejpam-4638	70	33	≤	≤	NUM
ejpam-4638	70	34	ϵi	ϵi	NOUN
ejpam-4638	70	35	,	,	PUNCT
ejpam-4638	70	36	∀i	∀i	NOUN
ejpam-4638	70	37	=	=	SYM
ejpam-4638	70	38	1,k	1,k	PROPN
ejpam-4638	70	39	,	,	PUNCT
ejpam-4638	70	40	i	i	PRON
ejpam-4638	70	41	̸=	̸=	PROPN
ejpam-4638	70	42	p	p	X
ejpam-4638	70	43	;	;	PUNCT
ejpam-4638	70	44	x	x	SYM
ejpam-4638	70	45	∈	∈	PROPN
ejpam-4638	70	46	x	x	NOUN
ejpam-4638	70	47	;	;	PUNCT
ejpam-4638	70	48	(	(	PUNCT
ejpam-4638	70	49	pϵp	pϵp	NOUN
ejpam-4638	70	50	)	)	PUNCT
ejpam-4638	70	51	where	where	SCONJ
ejpam-4638	70	52	ϵp	ϵp	ADV
ejpam-4638	70	53	=	=	PUNCT
ejpam-4638	70	54	(	(	PUNCT
ejpam-4638	70	55	ϵ1	ϵ1	ADJ
ejpam-4638	70	56	,	,	PUNCT
ejpam-4638	70	57	·	·	PUNCT
ejpam-4638	70	58	·	·	PUNCT
ejpam-4638	70	59	·	·	PUNCT
ejpam-4638	70	60	,	,	PUNCT
ejpam-4638	70	61	ϵp−1	ϵp−1	NOUN
ejpam-4638	70	62	,	,	PUNCT
ejpam-4638	70	63	ϵp+1	ϵp+1	NOUN
ejpam-4638	70	64	,	,	PUNCT
ejpam-4638	70	65	·	·	PUNCT
ejpam-4638	70	66	·	·	PUNCT
ejpam-4638	70	67	·	·	PUNCT
ejpam-4638	70	68	,	,	PUNCT
ejpam-4638	70	69	ϵk)t	ϵk)t	X
ejpam-4638	70	70	∈	∈	PROPN
ejpam-4638	70	71	rk−1	rk−1	NOUN
ejpam-4638	70	72	where	where	SCONJ
ejpam-4638	70	73	p	p	PROPN
ejpam-4638	70	74	∈	∈	PROPN
ejpam-4638	70	75	{	{	PUNCT
ejpam-4638	70	76	1	1	NUM
ejpam-4638	70	77	,	,	PUNCT
ejpam-4638	70	78	·	·	PUNCT
ejpam-4638	70	79	·	·	PUNCT
ejpam-4638	70	80	·	·	PUNCT
ejpam-4638	70	81	,	,	PUNCT
ejpam-4638	70	82	k	k	X
ejpam-4638	70	83	}	}	PUNCT
ejpam-4638	70	84	.	.	PUNCT
ejpam-4638	71	1	the	the	DET
ejpam-4638	71	2	set	set	NOUN
ejpam-4638	71	3	of	of	ADP
ejpam-4638	71	4	eligible	eligible	ADJ
ejpam-4638	71	5	points	point	NOUN
ejpam-4638	71	6	of	of	ADP
ejpam-4638	71	7	this	this	DET
ejpam-4638	71	8	problem	problem	NOUN
ejpam-4638	71	9	is	be	AUX
ejpam-4638	71	10	defined	define	VERB
ejpam-4638	71	11	by	by	ADP
ejpam-4638	71	12	xϵ	xϵ	NOUN
ejpam-4638	71	13	p	p	NOUN
ejpam-4638	71	14	=	=	X
ejpam-4638	71	15	{	{	PUNCT
ejpam-4638	71	16	x	x	SYM
ejpam-4638	71	17	∈	∈	PROPN
ejpam-4638	71	18	x	x	X
ejpam-4638	71	19	:	:	PUNCT
ejpam-4638	71	20	fi(x	fi(x	NUM
ejpam-4638	71	21	)	)	PUNCT
ejpam-4638	71	22	≤	≤	NUM
ejpam-4638	72	1	ϵi	ϵi	NOUN
ejpam-4638	72	2	,	,	PUNCT
ejpam-4638	72	3	i	i	PRON
ejpam-4638	72	4	=	=	SYM
ejpam-4638	72	5	1,k	1,k	PROPN
ejpam-4638	72	6	,	,	PUNCT
ejpam-4638	72	7	i	i	PRON
ejpam-4638	72	8	̸=	̸=	PROPN
ejpam-4638	72	9	p	p	NOUN
ejpam-4638	72	10	}	}	PUNCT
ejpam-4638	72	11	.	.	PUNCT
ejpam-4638	73	1	note	note	VERB
ejpam-4638	73	2	that	that	SCONJ
ejpam-4638	73	3	ϵp	ϵp	NOUN
ejpam-4638	73	4	is	be	AUX
ejpam-4638	73	5	chosen	choose	VERB
ejpam-4638	73	6	in	in	ADP
ejpam-4638	73	7	such	such	DET
ejpam-4638	73	8	a	a	DET
ejpam-4638	73	9	way	way	NOUN
ejpam-4638	73	10	that	that	PRON
ejpam-4638	73	11	xϵ	xϵ	ADP
ejpam-4638	74	1	p	p	X
ejpam-4638	74	2	̸=	̸=	PROPN
ejpam-4638	74	3	∅.	∅.	ADV
ejpam-4638	74	4	theorem	theorem	VERB
ejpam-4638	74	5	1	1	NUM
ejpam-4638	74	6	.	.	PUNCT
ejpam-4638	75	1	[	[	X
ejpam-4638	75	2	5	5	X
ejpam-4638	75	3	]	]	X
ejpam-4638	75	4	x∗	x∗	PROPN
ejpam-4638	75	5	is	be	AUX
ejpam-4638	75	6	an	an	DET
ejpam-4638	75	7	optimal	optimal	ADJ
ejpam-4638	75	8	solution	solution	NOUN
ejpam-4638	75	9	for	for	ADP
ejpam-4638	75	10	problem	problem	NOUN
ejpam-4638	75	11	(	(	PUNCT
ejpam-4638	75	12	pϵp	pϵp	NOUN
ejpam-4638	75	13	)	)	PUNCT
ejpam-4638	75	14	if	if	SCONJ
ejpam-4638	75	15	and	and	CCONJ
ejpam-4638	75	16	only	only	ADV
ejpam-4638	75	17	x∗	x∗	PROPN
ejpam-4638	75	18	is	be	AUX
ejpam-4638	75	19	a	a	DET
ejpam-4638	75	20	pareto	pareto	ADJ
ejpam-4638	75	21	optimal	optimal	ADJ
ejpam-4638	75	22	solution	solution	NOUN
ejpam-4638	75	23	of	of	ADP
ejpam-4638	75	24	problem	problem	NOUN
ejpam-4638	75	25	(	(	PUNCT
ejpam-4638	75	26	mop	mop	PROPN
ejpam-4638	75	27	)	)	PUNCT
ejpam-4638	75	28	with	with	ADP
ejpam-4638	75	29	ϵi	ϵi	NOUN
ejpam-4638	76	1	=	=	SYM
ejpam-4638	76	2	fi(x	fi(x	NUM
ejpam-4638	76	3	∗	∗	NOUN
ejpam-4638	76	4	)	)	PUNCT
ejpam-4638	76	5	,	,	PUNCT
ejpam-4638	77	1	i	i	PRON
ejpam-4638	77	2	=	=	SYM
ejpam-4638	77	3	1,k	1,k	PROPN
ejpam-4638	77	4	,	,	PUNCT
ejpam-4638	77	5	i	i	PRON
ejpam-4638	77	6	̸=	̸=	PROPN
ejpam-4638	77	7	p.	p.	NOUN
ejpam-4638	77	8	proof	proof	NOUN
ejpam-4638	77	9	.	.	PUNCT
ejpam-4638	78	1	see	see	VERB
ejpam-4638	78	2	in	in	ADP
ejpam-4638	78	3	[	[	X
ejpam-4638	78	4	5	5	NUM
ejpam-4638	78	5	]	]	PUNCT
ejpam-4638	78	6	.	.	PUNCT
ejpam-4638	79	1	■	■	PUNCT
ejpam-4638	79	2	2.2	2.2	NUM
ejpam-4638	79	3	.	.	PUNCT
ejpam-4638	80	1	lagrangian	lagrangian	ADJ
ejpam-4638	80	2	penalty	penalty	NOUN
ejpam-4638	80	3	function	function	VERB
ejpam-4638	80	4	many	many	ADJ
ejpam-4638	80	5	types	type	NOUN
ejpam-4638	80	6	of	of	ADP
ejpam-4638	80	7	penalty	penalty	NOUN
ejpam-4638	80	8	functions	function	NOUN
ejpam-4638	80	9	are	be	AUX
ejpam-4638	80	10	found	find	VERB
ejpam-4638	80	11	in	in	ADP
ejpam-4638	80	12	the	the	DET
ejpam-4638	80	13	literature[19	literature[19	ADJ
ejpam-4638	80	14	,	,	PUNCT
ejpam-4638	80	15	23	23	NUM
ejpam-4638	80	16	,	,	PUNCT
ejpam-4638	80	17	25	25	NUM
ejpam-4638	80	18	]	]	PUNCT
ejpam-4638	80	19	,	,	PUNCT
ejpam-4638	80	20	which	which	PRON
ejpam-4638	80	21	aim	aim	VERB
ejpam-4638	80	22	to	to	PART
ejpam-4638	80	23	transform	transform	VERB
ejpam-4638	80	24	a	a	DET
ejpam-4638	80	25	constrained	constrain	VERB
ejpam-4638	80	26	optimization	optimization	NOUN
ejpam-4638	80	27	problem	problem	NOUN
ejpam-4638	80	28	into	into	ADP
ejpam-4638	80	29	an	an	DET
ejpam-4638	80	30	unconstrained	unconstrained	ADJ
ejpam-4638	80	31	optimization	optimization	NOUN
ejpam-4638	80	32	problem	problem	NOUN
ejpam-4638	80	33	.	.	PUNCT
ejpam-4638	81	1	in	in	ADP
ejpam-4638	81	2	this	this	DET
ejpam-4638	81	3	work	work	NOUN
ejpam-4638	81	4	,	,	PUNCT
ejpam-4638	81	5	we	we	PRON
ejpam-4638	81	6	use	use	VERB
ejpam-4638	81	7	the	the	DET
ejpam-4638	81	8	lagrangian	lagrangian	ADJ
ejpam-4638	81	9	penalty	penalty	NOUN
ejpam-4638	81	10	function	function	NOUN
ejpam-4638	81	11	to	to	PART
ejpam-4638	81	12	convert	convert	VERB
ejpam-4638	81	13	our	our	PRON
ejpam-4638	81	14	problem	problem	NOUN
ejpam-4638	81	15	(	(	PUNCT
ejpam-4638	81	16	pϵp	pϵp	PROPN
ejpam-4638	81	17	)	)	PUNCT
ejpam-4638	81	18	into	into	ADP
ejpam-4638	81	19	one	one	NUM
ejpam-4638	81	20	with	with	ADP
ejpam-4638	81	21	no	no	DET
ejpam-4638	81	22	constraints	constraint	NOUN
ejpam-4638	81	23	.	.	PUNCT
ejpam-4638	82	1	this	this	DET
ejpam-4638	82	2	function	function	NOUN
ejpam-4638	82	3	is	be	AUX
ejpam-4638	82	4	described	describe	VERB
ejpam-4638	82	5	as	as	SCONJ
ejpam-4638	82	6	follows	follow	VERB
ejpam-4638	82	7	:	:	PUNCT
ejpam-4638	82	8	l(x	l(x	PROPN
ejpam-4638	82	9	)	)	PUNCT
ejpam-4638	82	10	=	=	SYM
ejpam-4638	82	11	fp(x	fp(x	X
ejpam-4638	82	12	)	)	PUNCT
ejpam-4638	82	13	+	+	NUM
ejpam-4638	82	14	η	η	PROPN
ejpam-4638	82	15	[	[	PUNCT
ejpam-4638	82	16	k∑	k∑	NOUN
ejpam-4638	83	1	i	i	PRON
ejpam-4638	83	2	̸=p	̸=p	VERB
ejpam-4638	83	3	(	(	PUNCT
ejpam-4638	83	4	fi(x)−	fi(x)−	PROPN
ejpam-4638	83	5	ϵi	ϵi	X
ejpam-4638	84	1	+	+	CCONJ
ejpam-4638	84	2	|fi(x)−	|fi(x)−	PROPN
ejpam-4638	84	3	ϵi|	ϵi|	PROPN
ejpam-4638	84	4	)	)	PUNCT
ejpam-4638	85	1	+	+	CCONJ
ejpam-4638	85	2	q∑	q∑	X
ejpam-4638	85	3	j=1	j=1	NOUN
ejpam-4638	85	4	(	(	PUNCT
ejpam-4638	85	5	gj(x	gj(x	X
ejpam-4638	85	6	)	)	PUNCT
ejpam-4638	85	7	+	+	CCONJ
ejpam-4638	85	8	|gj(x)|	|gj(x)|	NOUN
ejpam-4638	85	9	)	)	PUNCT
ejpam-4638	85	10	]	]	PUNCT
ejpam-4638	85	11	;	;	PUNCT
ejpam-4638	85	12	where	where	SCONJ
ejpam-4638	85	13	η	η	PROPN
ejpam-4638	85	14	is	be	AUX
ejpam-4638	85	15	taken	take	VERB
ejpam-4638	85	16	large	large	ADJ
ejpam-4638	85	17	enough	enough	ADV
ejpam-4638	85	18	.	.	PUNCT
ejpam-4638	86	1	the	the	DET
ejpam-4638	86	2	following	follow	VERB
ejpam-4638	86	3	formulation	formulation	NOUN
ejpam-4638	86	4	of	of	ADP
ejpam-4638	86	5	the	the	DET
ejpam-4638	86	6	initial	initial	ADJ
ejpam-4638	86	7	problem:	problem:	PROPN
ejpam-4638	86	8	minl(x	minl(x	PROPN
ejpam-4638	86	9	)	)	PUNCT
ejpam-4638	86	10	;	;	PUNCT
ejpam-4638	86	11	x	x	X
ejpam-4638	86	12	∈	∈	NOUN
ejpam-4638	86	13	xϵ	xϵ	X
ejpam-4638	87	1	p.	p.	NOUN
ejpam-4638	87	2	(	(	PUNCT
ejpam-4638	87	3	pl	pl	X
ejpam-4638	87	4	ϵp	ϵp	NOUN
ejpam-4638	87	5	)	)	PUNCT
ejpam-4638	87	6	theorem	theorem	NOUN
ejpam-4638	87	7	2	2	NUM
ejpam-4638	87	8	.	.	PUNCT
ejpam-4638	88	1	let	let	VERB
ejpam-4638	88	2	x∗	x∗	PROPN
ejpam-4638	88	3	∈	∈	PROPN
ejpam-4638	88	4	xϵ	xϵ	X
ejpam-4638	89	1	p	p	NOUN
ejpam-4638	89	2	be	be	AUX
ejpam-4638	89	3	an	an	DET
ejpam-4638	89	4	eligible	eligible	ADJ
ejpam-4638	89	5	point	point	NOUN
ejpam-4638	89	6	.	.	PUNCT
ejpam-4638	90	1	if	if	SCONJ
ejpam-4638	90	2	x∗	x∗	PROPN
ejpam-4638	90	3	is	be	AUX
ejpam-4638	90	4	the	the	DET
ejpam-4638	90	5	global	global	ADJ
ejpam-4638	90	6	minimum	minimum	NOUN
ejpam-4638	90	7	of	of	ADP
ejpam-4638	90	8	the	the	DET
ejpam-4638	90	9	problem	problem	NOUN
ejpam-4638	90	10	(	(	PUNCT
ejpam-4638	90	11	pl	pl	X
ejpam-4638	90	12	ϵp	ϵp	NOUN
ejpam-4638	90	13	)	)	PUNCT
ejpam-4638	90	14	then	then	ADV
ejpam-4638	90	15	x∗	x∗	PROPN
ejpam-4638	90	16	also	also	ADV
ejpam-4638	90	17	is	be	AUX
ejpam-4638	90	18	the	the	DET
ejpam-4638	90	19	global	global	ADJ
ejpam-4638	90	20	minimum	minimum	NOUN
ejpam-4638	90	21	of	of	ADP
ejpam-4638	90	22	the	the	DET
ejpam-4638	90	23	problem	problem	NOUN
ejpam-4638	90	24	pϵp	pϵp	PROPN
ejpam-4638	90	25	.	.	PUNCT
ejpam-4638	91	1	proof	proof	NOUN
ejpam-4638	91	2	.	.	PUNCT
ejpam-4638	92	1	let	let	VERB
ejpam-4638	92	2	us	we	PRON
ejpam-4638	92	3	suppose	suppose	VERB
ejpam-4638	92	4	that	that	SCONJ
ejpam-4638	92	5	x∗	x∗	PROPN
ejpam-4638	92	6	is	be	AUX
ejpam-4638	92	7	the	the	DET
ejpam-4638	92	8	global	global	ADJ
ejpam-4638	92	9	minimum	minimum	NOUN
ejpam-4638	92	10	of	of	ADP
ejpam-4638	92	11	the	the	DET
ejpam-4638	92	12	problem	problem	NOUN
ejpam-4638	92	13	(	(	PUNCT
ejpam-4638	92	14	pl	pl	X
ejpam-4638	92	15	ϵp	ϵp	NOUN
ejpam-4638	92	16	)	)	PUNCT
ejpam-4638	92	17	then	then	ADV
ejpam-4638	92	18	:	:	PUNCT
ejpam-4638	92	19	∀x	∀x	X
ejpam-4638	92	20	∈	∈	NOUN
ejpam-4638	92	21	xϵ	xϵ	NOUN
ejpam-4638	92	22	p	p	X
ejpam-4638	92	23	,	,	PUNCT
ejpam-4638	92	24	l(x	l(x	PROPN
ejpam-4638	92	25	∗	∗	NOUN
ejpam-4638	92	26	)	)	PUNCT
ejpam-4638	92	27	≤	≤	NOUN
ejpam-4638	92	28	l(x	l(x	PROPN
ejpam-4638	92	29	)	)	PUNCT
ejpam-4638	92	30	.	.	PUNCT
ejpam-4638	93	1	that	that	PRON
ejpam-4638	93	2	allows	allow	VERB
ejpam-4638	93	3	to	to	PART
ejpam-4638	93	4	have	have	VERB
ejpam-4638	93	5	:	:	PUNCT
ejpam-4638	93	6	fp(x	fp(x	PUNCT
ejpam-4638	93	7	∗)+η	∗)+η	NUM
ejpam-4638	93	8	∑	∑	PROPN
ejpam-4638	93	9	(	(	PUNCT
ejpam-4638	93	10	fi(x	fi(x	NUM
ejpam-4638	93	11	∗)−	∗)−	X
ejpam-4638	93	12	ϵi+	ϵi+	PROPN
ejpam-4638	93	13	|fi(x∗)−	|fi(x∗)−	PROPN
ejpam-4638	93	14	ϵi|	ϵi|	PROPN
ejpam-4638	93	15	)	)	PUNCT
ejpam-4638	94	1	+	+	CCONJ
ejpam-4638	95	1	q∑	q∑	X
ejpam-4638	95	2	j=1	j=1	NOUN
ejpam-4638	95	3	(	(	PUNCT
ejpam-4638	95	4	gj(x	gj(x	PUNCT
ejpam-4638	95	5	∗	∗	NOUN
ejpam-4638	95	6	)	)	PUNCT
ejpam-4638	95	7	+	+	CCONJ
ejpam-4638	95	8	|gj(x∗)|	|gj(x∗)|	ADJ
ejpam-4638	95	9	)	)	PUNCT
ejpam-4638	95	10	≤	≤	NOUN
ejpam-4638	95	11	fp(x	fp(x	NUM
ejpam-4638	95	12	)	)	PUNCT
ejpam-4638	95	13	+	+	CCONJ
ejpam-4638	95	14	η	η	PROPN
ejpam-4638	95	15	∑	∑	PROPN
ejpam-4638	95	16	(	(	PUNCT
ejpam-4638	95	17	fi(x	fi(x	NUM
ejpam-4638	95	18	)	)	PUNCT
ejpam-4638	95	19	−	−	NOUN
ejpam-4638	96	1	ϵi	ϵi	NOUN
ejpam-4638	97	1	+	+	CCONJ
ejpam-4638	97	2	|fi(x	|fi(x	X
ejpam-4638	97	3	)	)	PUNCT
ejpam-4638	98	1	−	−	PROPN
ejpam-4638	99	1	ϵi|	ϵi|	PROPN
ejpam-4638	99	2	)	)	PUNCT
ejpam-4638	100	1	+	+	CCONJ
ejpam-4638	101	1	q∑	q∑	X
ejpam-4638	101	2	j=1	j=1	NOUN
ejpam-4638	101	3	(	(	PUNCT
ejpam-4638	101	4	gj(x	gj(x	X
ejpam-4638	101	5	)	)	PUNCT
ejpam-4638	102	1	+	+	NUM
ejpam-4638	102	2	|gj(x)|	|gj(x)|	NOUN
ejpam-4638	102	3	)	)	PUNCT
ejpam-4638	102	4	.	.	PUNCT
ejpam-4638	103	1	by	by	ADP
ejpam-4638	103	2	using	use	VERB
ejpam-4638	103	3	the	the	DET
ejpam-4638	103	4	definition	definition	NOUN
ejpam-4638	103	5	of	of	ADP
ejpam-4638	103	6	the	the	DET
ejpam-4638	103	7	set	set	NOUN
ejpam-4638	103	8	xϵ	xϵ	NOUN
ejpam-4638	104	1	p	p	X
ejpam-4638	104	2	,	,	PUNCT
ejpam-4638	104	3	∀x	∀x	X
ejpam-4638	104	4	∈	∈	PROPN
ejpam-4638	104	5	xϵ	xϵ	NOUN
ejpam-4638	104	6	p	p	NOUN
ejpam-4638	104	7	and	and	CCONJ
ejpam-4638	104	8	∀i	∀i	NOUN
ejpam-4638	104	9	∈	∈	NOUN
ejpam-4638	104	10	{	{	PUNCT
ejpam-4638	104	11	1	1	NUM
ejpam-4638	104	12	,	,	PUNCT
ejpam-4638	104	13	2	2	NUM
ejpam-4638	104	14	,	,	PUNCT
ejpam-4638	104	15	·	·	PUNCT
ejpam-4638	104	16	·	·	PUNCT
ejpam-4638	104	17	·	·	PUNCT
ejpam-4638	104	18	,	,	PUNCT
ejpam-4638	104	19	k	k	X
ejpam-4638	104	20	}	}	PUNCT
ejpam-4638	104	21	,	,	PUNCT
ejpam-4638	104	22	i	i	PRON
ejpam-4638	104	23	̸=	̸=	PROPN
ejpam-4638	104	24	p	p	NOUN
ejpam-4638	104	25	,	,	PUNCT
ejpam-4638	104	26	fi(x	fi(x	NUM
ejpam-4638	104	27	)	)	PUNCT
ejpam-4638	104	28	−	−	NOUN
ejpam-4638	105	1	ϵi	ϵi	X
ejpam-4638	106	1	+	+	CCONJ
ejpam-4638	106	2	|fi(x	|fi(x	X
ejpam-4638	106	3	)	)	PUNCT
ejpam-4638	107	1	−	−	PROPN
ejpam-4638	108	1	ϵi|	ϵi|	PROPN
ejpam-4638	109	1	=	=	SYM
ejpam-4638	110	1	0	0	NUM
ejpam-4638	110	2	,	,	PUNCT
ejpam-4638	110	3	and	and	CCONJ
ejpam-4638	110	4	∀j	∀j	PROPN
ejpam-4638	110	5	∈	∈	PROPN
ejpam-4638	110	6	{	{	PUNCT
ejpam-4638	110	7	1	1	NUM
ejpam-4638	110	8	,	,	PUNCT
ejpam-4638	110	9	2	2	NUM
ejpam-4638	110	10	,	,	PUNCT
ejpam-4638	110	11	·	·	PUNCT
ejpam-4638	110	12	·	·	PUNCT
ejpam-4638	110	13	·	·	PUNCT
ejpam-4638	110	14	,	,	PUNCT
ejpam-4638	110	15	q	q	X
ejpam-4638	110	16	}	}	PUNCT
ejpam-4638	110	17	,	,	PUNCT
ejpam-4638	110	18	gj(x	gj(x	X
ejpam-4638	110	19	)	)	PUNCT
ejpam-4638	111	1	+	+	NUM
ejpam-4638	111	2	|gj(x)|	|gj(x)|	NOUN
ejpam-4638	111	3	=	=	SYM
ejpam-4638	111	4	0	0	X
ejpam-4638	111	5	.	.	PUNCT
ejpam-4638	112	1	then	then	ADV
ejpam-4638	112	2	,	,	PUNCT
ejpam-4638	112	3	we	we	PRON
ejpam-4638	112	4	have	have	VERB
ejpam-4638	112	5	that	that	PRON
ejpam-4638	112	6	fp(x	fp(x	PUNCT
ejpam-4638	112	7	∗	∗	NOUN
ejpam-4638	112	8	)	)	PUNCT
ejpam-4638	112	9	≤	≤	NOUN
ejpam-4638	112	10	fp(x	fp(x	NUM
ejpam-4638	112	11	)	)	PUNCT
ejpam-4638	112	12	,	,	PUNCT
ejpam-4638	112	13	and	and	CCONJ
ejpam-4638	112	14	since	since	SCONJ
ejpam-4638	112	15	x∗	x∗	PROPN
ejpam-4638	112	16	∈	∈	PROPN
ejpam-4638	112	17	xϵ	xϵ	PUNCT
ejpam-4638	113	1	p	p	X
ejpam-4638	113	2	this	this	PRON
ejpam-4638	113	3	can	can	AUX
ejpam-4638	113	4	be	be	AUX
ejpam-4638	113	5	written	write	VERB
ejpam-4638	113	6	as	as	ADP
ejpam-4638	113	7	fi(x	fi(x	PROPN
ejpam-4638	113	8	∗	∗	NOUN
ejpam-4638	113	9	)	)	PUNCT
ejpam-4638	113	10	≤	≤	NOUN
ejpam-4638	113	11	ϵi	ϵi	NOUN
ejpam-4638	113	12	,	,	PUNCT
ejpam-4638	113	13	hence	hence	ADV
ejpam-4638	113	14	x∗	x∗	PROPN
ejpam-4638	113	15	realizes	realize	VERB
ejpam-4638	113	16	the	the	DET
ejpam-4638	113	17	global	global	ADJ
ejpam-4638	113	18	minimum	minimum	NOUN
ejpam-4638	113	19	of	of	ADP
ejpam-4638	113	20	the	the	DET
ejpam-4638	113	21	problem	problem	NOUN
ejpam-4638	113	22	pϵp	pϵp	VERB
ejpam-4638	113	23	.	.	PUNCT
ejpam-4638	114	1	■	■	PUNCT
ejpam-4638	114	2	w.	w.	PROPN
ejpam-4638	114	3	bamogo	bamogo	PROPN
ejpam-4638	114	4	,	,	PUNCT
ejpam-4638	114	5	j.	j.	PROPN
ejpam-4638	114	6	poda	poda	PROPN
ejpam-4638	114	7	,	,	PUNCT
ejpam-4638	114	8	k.	k.	PROPN
ejpam-4638	114	9	somé	somé	PROPN
ejpam-4638	114	10	/	/	SYM
ejpam-4638	114	11	eur	eur	PROPN
ejpam-4638	114	12	.	.	PUNCT
ejpam-4638	115	1	j.	j.	PROPN
ejpam-4638	115	2	pure	pure	PROPN
ejpam-4638	115	3	appl	appl	PROPN
ejpam-4638	115	4	.	.	PROPN
ejpam-4638	115	5	math	math	PROPN
ejpam-4638	115	6	,	,	PUNCT
ejpam-4638	115	7	16	16	NUM
ejpam-4638	115	8	(	(	PUNCT
ejpam-4638	115	9	1	1	NUM
ejpam-4638	115	10	)	)	PUNCT
ejpam-4638	115	11	(	(	PUNCT
ejpam-4638	115	12	2023	2023	NUM
ejpam-4638	115	13	)	)	PUNCT
ejpam-4638	115	14	,	,	PUNCT
ejpam-4638	115	15	595	595	NUM
ejpam-4638	115	16	-	-	SYM
ejpam-4638	115	17	608	608	NUM
ejpam-4638	115	18	599	599	NUM
ejpam-4638	115	19	2.3	2.3	NUM
ejpam-4638	115	20	.	.	PUNCT
ejpam-4638	116	1	hmgwoga	hmgwoga	NOUN
ejpam-4638	116	2	method	method	PROPN
ejpam-4638	116	3	2.3.1	2.3.1	NUM
ejpam-4638	116	4	.	.	PUNCT
ejpam-4638	117	1	description	description	NOUN
ejpam-4638	117	2	the	the	DET
ejpam-4638	117	3	hmgwoga	hmgwoga	NOUN
ejpam-4638	117	4	algorithm	algorithm	NOUN
ejpam-4638	117	5	is	be	AUX
ejpam-4638	117	6	a	a	DET
ejpam-4638	117	7	combination	combination	NOUN
ejpam-4638	117	8	of	of	ADP
ejpam-4638	117	9	the	the	DET
ejpam-4638	117	10	greywolf	greywolf	NOUN
ejpam-4638	117	11	optimizer(gwo	optimizer(gwo	PROPN
ejpam-4638	117	12	)	)	PUNCT
ejpam-4638	117	13	algorithm	algorithm	NOUN
ejpam-4638	117	14	and	and	CCONJ
ejpam-4638	117	15	the	the	DET
ejpam-4638	117	16	nsga	nsga	NOUN
ejpam-4638	117	17	-	-	PUNCT
ejpam-4638	117	18	ii	ii	NOUN
ejpam-4638	117	19	.	.	PUNCT
ejpam-4638	118	1	it	it	PRON
ejpam-4638	118	2	is	be	AUX
ejpam-4638	118	3	a	a	DET
ejpam-4638	118	4	good	good	ADJ
ejpam-4638	118	5	method	method	NOUN
ejpam-4638	118	6	for	for	ADP
ejpam-4638	118	7	solving	solve	VERB
ejpam-4638	118	8	single	single	ADJ
ejpam-4638	118	9	-	-	PUNCT
ejpam-4638	118	10	objective	objective	ADJ
ejpam-4638	118	11	optimization	optimization	NOUN
ejpam-4638	118	12	problems	problem	NOUN
ejpam-4638	118	13	with	with	ADP
ejpam-4638	118	14	positive	positive	ADJ
ejpam-4638	118	15	objectives	objective	NOUN
ejpam-4638	118	16	,	,	PUNCT
ejpam-4638	118	17	such	such	ADJ
ejpam-4638	118	18	as	as	ADP
ejpam-4638	118	19	[	[	X
ejpam-4638	118	20	16	16	NUM
ejpam-4638	118	21	]	]	PUNCT
ejpam-4638	118	22	.	.	PUNCT
ejpam-4638	119	1	the	the	DET
ejpam-4638	119	2	intent	intent	NOUN
ejpam-4638	119	3	of	of	ADP
ejpam-4638	119	4	the	the	DET
ejpam-4638	119	5	designers	designer	NOUN
ejpam-4638	119	6	of	of	ADP
ejpam-4638	119	7	this	this	DET
ejpam-4638	119	8	method	method	NOUN
ejpam-4638	119	9	is	be	AUX
ejpam-4638	119	10	to	to	PART
ejpam-4638	119	11	apply	apply	VERB
ejpam-4638	119	12	the	the	DET
ejpam-4638	119	13	selection	selection	NOUN
ejpam-4638	119	14	,	,	PUNCT
ejpam-4638	119	15	crossover	crossover	NOUN
ejpam-4638	119	16	,	,	PUNCT
ejpam-4638	119	17	and	and	CCONJ
ejpam-4638	119	18	mutation	mutation	NOUN
ejpam-4638	119	19	operators	operator	NOUN
ejpam-4638	119	20	to	to	PART
ejpam-4638	119	21	determine	determine	VERB
ejpam-4638	119	22	a	a	DET
ejpam-4638	119	23	good	good	ADJ
ejpam-4638	119	24	family	family	NOUN
ejpam-4638	119	25	of	of	ADP
ejpam-4638	119	26	solutions	solution	NOUN
ejpam-4638	119	27	to	to	PART
ejpam-4638	119	28	which	which	PRON
ejpam-4638	119	29	the	the	DET
ejpam-4638	119	30	algorithm	algorithm	NOUN
ejpam-4638	119	31	gwo	gwo	NOUN
ejpam-4638	119	32	will	will	AUX
ejpam-4638	119	33	be	be	AUX
ejpam-4638	119	34	applied	apply	VERB
ejpam-4638	119	35	.	.	PUNCT
ejpam-4638	120	1	the	the	DET
ejpam-4638	120	2	gwo	gwo	PROPN
ejpam-4638	120	3	method	method	PROPN
ejpam-4638	120	4	works	work	VERB
ejpam-4638	120	5	with	with	ADP
ejpam-4638	120	6	a	a	DET
ejpam-4638	120	7	population	population	NOUN
ejpam-4638	120	8	of	of	ADP
ejpam-4638	120	9	initial	initial	ADJ
ejpam-4638	120	10	solutions	solution	NOUN
ejpam-4638	120	11	and	and	CCONJ
ejpam-4638	120	12	is	be	AUX
ejpam-4638	120	13	based	base	VERB
ejpam-4638	120	14	on	on	ADP
ejpam-4638	120	15	the	the	DET
ejpam-4638	120	16	hunting	hunt	VERB
ejpam-4638	120	17	techniques	technique	NOUN
ejpam-4638	120	18	of	of	ADP
ejpam-4638	120	19	the	the	DET
ejpam-4638	120	20	grey	grey	ADJ
ejpam-4638	120	21	wolves	wolf	NOUN
ejpam-4638	120	22	.	.	PUNCT
ejpam-4638	121	1	the	the	DET
ejpam-4638	121	2	family	family	NOUN
ejpam-4638	121	3	of	of	ADP
ejpam-4638	121	4	grey	grey	ADJ
ejpam-4638	121	5	wolves	wolf	NOUN
ejpam-4638	121	6	is	be	AUX
ejpam-4638	121	7	organized	organize	VERB
ejpam-4638	121	8	into	into	ADP
ejpam-4638	121	9	four	four	NUM
ejpam-4638	121	10	levels	level	NOUN
ejpam-4638	121	11	,	,	PUNCT
ejpam-4638	121	12	of	of	ADP
ejpam-4638	121	13	which	which	PRON
ejpam-4638	121	14	the	the	DET
ejpam-4638	121	15	first	first	ADJ
ejpam-4638	121	16	level	level	NOUN
ejpam-4638	121	17	is	be	AUX
ejpam-4638	121	18	positioned	position	VERB
ejpam-4638	121	19	by	by	ADP
ejpam-4638	121	20	the	the	DET
ejpam-4638	121	21	appointed	appoint	VERB
ejpam-4638	121	22	leader	leader	NOUN
ejpam-4638	121	23	(	(	PUNCT
ejpam-4638	121	24	α	α	NOUN
ejpam-4638	121	25	)	)	PUNCT
ejpam-4638	121	26	who	who	PRON
ejpam-4638	121	27	is	be	AUX
ejpam-4638	121	28	assisted	assist	VERB
ejpam-4638	121	29	by	by	ADP
ejpam-4638	121	30	the	the	DET
ejpam-4638	121	31	wolf	wolf	PROPN
ejpam-4638	121	32	(	(	PUNCT
ejpam-4638	121	33	β	β	NOUN
ejpam-4638	121	34	)	)	PUNCT
ejpam-4638	121	35	at	at	ADP
ejpam-4638	121	36	the	the	DET
ejpam-4638	121	37	second	second	ADJ
ejpam-4638	121	38	level	level	NOUN
ejpam-4638	121	39	.	.	PUNCT
ejpam-4638	122	1	on	on	ADP
ejpam-4638	122	2	the	the	DET
ejpam-4638	122	3	third	third	ADJ
ejpam-4638	122	4	level	level	NOUN
ejpam-4638	122	5	are	be	AUX
ejpam-4638	122	6	wolves	wolf	NOUN
ejpam-4638	122	7	(	(	PUNCT
ejpam-4638	122	8	δ	δ	NOUN
ejpam-4638	122	9	)	)	PUNCT
ejpam-4638	122	10	and	and	CCONJ
ejpam-4638	122	11	on	on	ADP
ejpam-4638	122	12	the	the	DET
ejpam-4638	122	13	fourth	fourth	ADJ
ejpam-4638	122	14	level	level	NOUN
ejpam-4638	122	15	are	be	AUX
ejpam-4638	122	16	wolves	wolf	NOUN
ejpam-4638	122	17	(	(	PUNCT
ejpam-4638	122	18	ω	ω	NOUN
ejpam-4638	122	19	)	)	PUNCT
ejpam-4638	122	20	.	.	PUNCT
ejpam-4638	123	1	in	in	ADP
ejpam-4638	123	2	hunting	hunting	NOUN
ejpam-4638	123	3	,	,	PUNCT
ejpam-4638	123	4	this	this	DET
ejpam-4638	123	5	hierarchy	hierarchy	NOUN
ejpam-4638	123	6	is	be	AUX
ejpam-4638	123	7	respected	respect	VERB
ejpam-4638	123	8	,	,	PUNCT
ejpam-4638	123	9	which	which	PRON
ejpam-4638	123	10	makes	make	VERB
ejpam-4638	123	11	wolves	wolf	NOUN
ejpam-4638	123	12	(	(	PUNCT
ejpam-4638	123	13	α	α	NOUN
ejpam-4638	123	14	)	)	PUNCT
ejpam-4638	123	15	the	the	DET
ejpam-4638	123	16	best	good	ADJ
ejpam-4638	123	17	hunting	hunt	VERB
ejpam-4638	123	18	solution	solution	NOUN
ejpam-4638	123	19	,	,	PUNCT
ejpam-4638	123	20	followed	follow	VERB
ejpam-4638	123	21	by	by	ADP
ejpam-4638	123	22	wolves	wolf	NOUN
ejpam-4638	123	23	(	(	PUNCT
ejpam-4638	123	24	β	β	NOUN
ejpam-4638	123	25	)	)	PUNCT
ejpam-4638	123	26	and	and	CCONJ
ejpam-4638	123	27	so	so	ADV
ejpam-4638	123	28	on	on	ADV
ejpam-4638	123	29	.	.	PUNCT
ejpam-4638	124	1	the	the	DET
ejpam-4638	124	2	wolves	wolf	NOUN
ejpam-4638	124	3	initiate	initiate	VERB
ejpam-4638	124	4	the	the	DET
ejpam-4638	124	5	pursuit	pursuit	NOUN
ejpam-4638	124	6	,	,	PUNCT
ejpam-4638	124	7	encircle	encircle	VERB
ejpam-4638	124	8	the	the	DET
ejpam-4638	124	9	prey	prey	NOUN
ejpam-4638	124	10	,	,	PUNCT
ejpam-4638	124	11	and	and	CCONJ
ejpam-4638	124	12	torment	torment	VERB
ejpam-4638	124	13	it	it	PRON
ejpam-4638	124	14	until	until	SCONJ
ejpam-4638	124	15	they	they	PRON
ejpam-4638	124	16	immobilize	immobilize	VERB
ejpam-4638	124	17	it	it	PRON
ejpam-4638	124	18	.	.	PUNCT
ejpam-4638	125	1	they	they	PRON
ejpam-4638	125	2	will	will	AUX
ejpam-4638	125	3	attack	attack	VERB
ejpam-4638	125	4	at	at	ADP
ejpam-4638	125	5	that	that	DET
ejpam-4638	125	6	moment	moment	NOUN
ejpam-4638	125	7	.	.	PUNCT
ejpam-4638	126	1	mathematically	mathematically	ADV
ejpam-4638	126	2	,	,	PUNCT
ejpam-4638	126	3	encirclement	encirclement	NOUN
ejpam-4638	126	4	is	be	AUX
ejpam-4638	126	5	modeled	model	VERB
ejpam-4638	126	6	as	as	ADP
ejpam-4638	126	7	follows[16	follows[16	PROPN
ejpam-4638	126	8	,	,	PUNCT
ejpam-4638	126	9	17	17	NUM
ejpam-4638	126	10	,	,	PUNCT
ejpam-4638	126	11	22	22	NUM
ejpam-4638	126	12	]	]	PUNCT
ejpam-4638	126	13	:	:	PUNCT
ejpam-4638	126	14			PUNCT
ejpam-4638	126	15	−→	−→	PROPN
ejpam-4638	126	16	d(i	d(i	PROPN
ejpam-4638	126	17	)	)	PUNCT
ejpam-4638	127	1	=	=	PUNCT
ejpam-4638	127	2	|	|	ADV
ejpam-4638	127	3	−→	−→	ADV
ejpam-4638	127	4	c	c	NOUN
ejpam-4638	127	5	.	.	PUNCT
ejpam-4638	128	1	−→	−→	NOUN
ejpam-4638	128	2	x	x	PUNCT
ejpam-4638	128	3	p(i)−	p(i)−	PROPN
ejpam-4638	128	4	−→	−→	NOUN
ejpam-4638	128	5	x	x	INTJ
ejpam-4638	128	6	(	(	PUNCT
ejpam-4638	128	7	i)|	i)|	INTJ
ejpam-4638	128	8	−→	−→	NOUN
ejpam-4638	128	9	x	x	X
ejpam-4638	128	10	(	(	PUNCT
ejpam-4638	128	11	i+	i+	NOUN
ejpam-4638	128	12	1	1	NUM
ejpam-4638	128	13	)	)	PUNCT
ejpam-4638	128	14	=	=	SYM
ejpam-4638	129	1	−→	−→	NOUN
ejpam-4638	129	2	x	x	PUNCT
ejpam-4638	129	3	p(i)−	p(i)−	PROPN
ejpam-4638	129	4	−→	−→	ADJ
ejpam-4638	129	5	a.	a.	NOUN
ejpam-4638	129	6	−→	−→	PROPN
ejpam-4638	129	7	d(i	d(i	PROPN
ejpam-4638	129	8	)	)	PUNCT
ejpam-4638	129	9	(	(	PUNCT
ejpam-4638	129	10	1	1	X
ejpam-4638	129	11	)	)	PUNCT
ejpam-4638	129	12	where	where	SCONJ
ejpam-4638	129	13	i	i	PRON
ejpam-4638	129	14	denote	denote	VERB
ejpam-4638	129	15	the	the	DET
ejpam-4638	129	16	number	number	NOUN
ejpam-4638	129	17	of	of	ADP
ejpam-4638	129	18	iterations	iteration	NOUN
ejpam-4638	129	19	,	,	PUNCT
ejpam-4638	129	20	−→	−→	NOUN
ejpam-4638	129	21	a	a	PRON
ejpam-4638	129	22	=	=	SYM
ejpam-4638	129	23	2ar⃗1	2ar⃗1	NUM
ejpam-4638	129	24	−	−	NOUN
ejpam-4638	130	1	a	a	DET
ejpam-4638	130	2	,	,	PUNCT
ejpam-4638	130	3	−→	−→	NOUN
ejpam-4638	130	4	c	c	NOUN
ejpam-4638	130	5	=	=	SYM
ejpam-4638	130	6	2r⃗2	2r⃗2	NUM
ejpam-4638	130	7	,	,	PUNCT
ejpam-4638	130	8	a	a	PRON
ejpam-4638	130	9	is	be	AUX
ejpam-4638	130	10	a	a	DET
ejpam-4638	130	11	coefficient	coefficient	NOUN
ejpam-4638	130	12	whose	whose	DET
ejpam-4638	130	13	is	be	AUX
ejpam-4638	130	14	decreased	decrease	VERB
ejpam-4638	130	15	relative	relative	ADJ
ejpam-4638	130	16	to	to	ADP
ejpam-4638	130	17	iterations	iteration	NOUN
ejpam-4638	130	18	.	.	PUNCT
ejpam-4638	131	1	it	it	PRON
ejpam-4638	131	2	is	be	AUX
ejpam-4638	131	3	defined	define	VERB
ejpam-4638	131	4	by[16	by[16	PROPN
ejpam-4638	131	5	,	,	PUNCT
ejpam-4638	131	6	17	17	NUM
ejpam-4638	131	7	,	,	PUNCT
ejpam-4638	131	8	22	22	NUM
ejpam-4638	131	9	]	]	X
ejpam-4638	131	10	:	:	PUNCT
ejpam-4638	131	11	a	a	DET
ejpam-4638	131	12	=	=	SYM
ejpam-4638	131	13	2	2	NUM
ejpam-4638	131	14	(	(	PUNCT
ejpam-4638	131	15	1−	1−	NUM
ejpam-4638	131	16	i	i	NOUN
ejpam-4638	131	17	d	d	PROPN
ejpam-4638	131	18	maxinterd	maxinterd	NOUN
ejpam-4638	131	19	)	)	PUNCT
ejpam-4638	131	20	(	(	PUNCT
ejpam-4638	131	21	2	2	X
ejpam-4638	131	22	)	)	PUNCT
ejpam-4638	131	23	where	where	SCONJ
ejpam-4638	131	24	i	i	PRON
ejpam-4638	131	25	is	be	AUX
ejpam-4638	131	26	the	the	DET
ejpam-4638	131	27	current	current	ADJ
ejpam-4638	131	28	iteration	iteration	NOUN
ejpam-4638	131	29	,	,	PUNCT
ejpam-4638	132	1	d	d	X
ejpam-4638	132	2	the	the	DET
ejpam-4638	132	3	space	space	NOUN
ejpam-4638	132	4	dimension	dimension	NOUN
ejpam-4638	132	5	,	,	PUNCT
ejpam-4638	132	6	maxinter	maxinter	NOUN
ejpam-4638	132	7	is	be	AUX
ejpam-4638	132	8	the	the	DET
ejpam-4638	132	9	maximal	maximal	ADJ
ejpam-4638	132	10	number	number	NOUN
ejpam-4638	132	11	of	of	ADP
ejpam-4638	132	12	iterations	iteration	NOUN
ejpam-4638	132	13	.	.	PUNCT
ejpam-4638	133	1	−→	−→	NOUN
ejpam-4638	133	2	x	x	X
ejpam-4638	133	3	p	p	NOUN
ejpam-4638	133	4	is	be	AUX
ejpam-4638	133	5	the	the	DET
ejpam-4638	133	6	vector	vector	NOUN
ejpam-4638	133	7	given	give	VERB
ejpam-4638	133	8	the	the	DET
ejpam-4638	133	9	position	position	NOUN
ejpam-4638	133	10	of	of	ADP
ejpam-4638	133	11	the	the	DET
ejpam-4638	133	12	prey	prey	NOUN
ejpam-4638	133	13	,	,	PUNCT
ejpam-4638	133	14	−→	−→	NOUN
ejpam-4638	133	15	x	x	PUNCT
ejpam-4638	133	16	the	the	DET
ejpam-4638	133	17	vector	vector	NOUN
ejpam-4638	133	18	given	give	VERB
ejpam-4638	133	19	the	the	DET
ejpam-4638	133	20	position	position	NOUN
ejpam-4638	133	21	of	of	ADP
ejpam-4638	133	22	green	green	ADJ
ejpam-4638	133	23	wolves	wolf	NOUN
ejpam-4638	133	24	,	,	PUNCT
ejpam-4638	133	25	r⃗1	r⃗1	ADJ
ejpam-4638	133	26	and	and	CCONJ
ejpam-4638	133	27	r⃗2	r⃗2	NOUN
ejpam-4638	133	28	are	be	AUX
ejpam-4638	133	29	random	random	ADJ
ejpam-4638	133	30	vectors	vector	NOUN
ejpam-4638	133	31	belong	belong	VERB
ejpam-4638	133	32	in	in	ADP
ejpam-4638	133	33	[	[	X
ejpam-4638	133	34	0	0	NUM
ejpam-4638	133	35	,	,	PUNCT
ejpam-4638	133	36	1	1	NUM
ejpam-4638	133	37	]	]	PUNCT
ejpam-4638	133	38	.	.	PUNCT
ejpam-4638	134	1	when	when	SCONJ
ejpam-4638	134	2	|	|	ADV
ejpam-4638	134	3	−→	−→	ADV
ejpam-4638	134	4	a	a	DET
ejpam-4638	134	5	|	|	NOUN
ejpam-4638	134	6	<	<	X
ejpam-4638	134	7	1	1	NUM
ejpam-4638	134	8	,	,	PUNCT
ejpam-4638	134	9	then	then	ADV
ejpam-4638	134	10	the	the	DET
ejpam-4638	134	11	wolf	wolf	PROPN
ejpam-4638	134	12	(	(	PUNCT
ejpam-4638	134	13	α	α	NOUN
ejpam-4638	134	14	)	)	PUNCT
ejpam-4638	134	15	converges	converge	NOUN
ejpam-4638	134	16	toward	toward	ADP
ejpam-4638	134	17	the	the	DET
ejpam-4638	134	18	prey	prey	NOUN
ejpam-4638	134	19	to	to	PART
ejpam-4638	134	20	attack	attack	VERB
ejpam-4638	134	21	it	it	PRON
ejpam-4638	134	22	as	as	SCONJ
ejpam-4638	134	23	presented	present	VERB
ejpam-4638	134	24	in	in	ADP
ejpam-4638	134	25	the	the	DET
ejpam-4638	134	26	figure1.a	figure1.a	PROPN
ejpam-4638	134	27	and	and	CCONJ
ejpam-4638	134	28	when	when	SCONJ
ejpam-4638	134	29	|	|	ADV
ejpam-4638	134	30	−→	−→	NOUN
ejpam-4638	134	31	a	a	DET
ejpam-4638	134	32	|	|	NOUN
ejpam-4638	134	33	>	>	X
ejpam-4638	134	34	1	1	NUM
ejpam-4638	134	35	the	the	DET
ejpam-4638	134	36	wolf	wolf	PROPN
ejpam-4638	134	37	(	(	PUNCT
ejpam-4638	134	38	α	α	NOUN
ejpam-4638	134	39	)	)	PUNCT
ejpam-4638	134	40	is	be	AUX
ejpam-4638	134	41	looking	look	VERB
ejpam-4638	134	42	for	for	ADP
ejpam-4638	134	43	a	a	DET
ejpam-4638	134	44	prey	prey	NOUN
ejpam-4638	134	45	as	as	SCONJ
ejpam-4638	134	46	shown	show	VERB
ejpam-4638	134	47	in	in	ADP
ejpam-4638	134	48	the	the	DET
ejpam-4638	134	49	figure1.b	figure1.b	NOUN
ejpam-4638	134	50	.	.	PUNCT
ejpam-4638	134	51	w.	w.	PROPN
ejpam-4638	134	52	bamogo	bamogo	PROPN
ejpam-4638	134	53	,	,	PUNCT
ejpam-4638	134	54	j.	j.	PROPN
ejpam-4638	134	55	poda	poda	PROPN
ejpam-4638	134	56	,	,	PUNCT
ejpam-4638	134	57	k.	k.	PROPN
ejpam-4638	135	1	somé	somé	PROPN
ejpam-4638	136	1	/	/	SYM
ejpam-4638	136	2	eur	eur	PROPN
ejpam-4638	136	3	.	.	PUNCT
ejpam-4638	137	1	j.	j.	PROPN
ejpam-4638	137	2	pure	pure	PROPN
ejpam-4638	137	3	appl	appl	PROPN
ejpam-4638	137	4	.	.	PROPN
ejpam-4638	137	5	math	math	PROPN
ejpam-4638	137	6	,	,	PUNCT
ejpam-4638	137	7	16	16	NUM
ejpam-4638	137	8	(	(	PUNCT
ejpam-4638	137	9	1	1	NUM
ejpam-4638	137	10	)	)	PUNCT
ejpam-4638	137	11	(	(	PUNCT
ejpam-4638	137	12	2023	2023	NUM
ejpam-4638	137	13	)	)	PUNCT
ejpam-4638	137	14	,	,	PUNCT
ejpam-4638	137	15	595	595	NUM
ejpam-4638	137	16	-	-	SYM
ejpam-4638	137	17	608	608	NUM
ejpam-4638	137	18	600	600	NUM
ejpam-4638	137	19	figure	figure	NOUN
ejpam-4638	137	20	1	1	NUM
ejpam-4638	137	21	:	:	PUNCT
ejpam-4638	137	22	search	search	VERB
ejpam-4638	137	23	for	for	ADP
ejpam-4638	137	24	or	or	CCONJ
ejpam-4638	137	25	attack	attack	NOUN
ejpam-4638	137	26	on	on	ADP
ejpam-4638	137	27	prey[15	prey[15	NOUN
ejpam-4638	137	28	]	]	PUNCT
ejpam-4638	137	29	.	.	PUNCT
ejpam-4638	138	1	the	the	DET
ejpam-4638	138	2	position	position	NOUN
ejpam-4638	138	3	of	of	ADP
ejpam-4638	138	4	wolves	wolf	NOUN
ejpam-4638	138	5	α	α	X
ejpam-4638	138	6	,	,	PUNCT
ejpam-4638	138	7	β	β	X
ejpam-4638	138	8	and	and	CCONJ
ejpam-4638	138	9	δ	δ	PROPN
ejpam-4638	138	10	are	be	AUX
ejpam-4638	138	11	individually	individually	ADV
ejpam-4638	138	12	adjusted	adjust	VERB
ejpam-4638	138	13	according	accord	VERB
ejpam-4638	138	14	to	to	ADP
ejpam-4638	138	15	prey	prey	NOUN
ejpam-4638	138	16	and	and	CCONJ
ejpam-4638	138	17	those	those	PRON
ejpam-4638	138	18	of	of	ADP
ejpam-4638	138	19	wolves	wolf	NOUN
ejpam-4638	138	20	ω	ω	PROPN
ejpam-4638	138	21	follows	follow	VERB
ejpam-4638	138	22	the	the	DET
ejpam-4638	138	23	principle	principle	NOUN
ejpam-4638	138	24	of	of	ADP
ejpam-4638	138	25	hierarchy	hierarchy	NOUN
ejpam-4638	138	26	.	.	PUNCT
ejpam-4638	139	1	the	the	DET
ejpam-4638	139	2	mathematical	mathematical	ADJ
ejpam-4638	139	3	modeling	modeling	NOUN
ejpam-4638	139	4	of	of	ADP
ejpam-4638	139	5	positions	position	NOUN
ejpam-4638	139	6	of	of	ADP
ejpam-4638	139	7	these	these	DET
ejpam-4638	139	8	three	three	NUM
ejpam-4638	139	9	wolves	wolf	NOUN
ejpam-4638	139	10	is	be	AUX
ejpam-4638	139	11	[	[	X
ejpam-4638	139	12	13	13	NUM
ejpam-4638	139	13	,	,	PUNCT
ejpam-4638	139	14	15–17]:	15–17]:	NUM
ejpam-4638	139	15	−→	−→	NOUN
ejpam-4638	139	16	dα(i	dα(i	NOUN
ejpam-4638	139	17	)	)	PUNCT
ejpam-4638	140	1	=	=	PUNCT
ejpam-4638	140	2	|	|	ADV
ejpam-4638	140	3	−→	−→	ADV
ejpam-4638	140	4	c	c	NOUN
ejpam-4638	140	5	1	1	X
ejpam-4638	140	6	.	.	PUNCT
ejpam-4638	141	1	−→	−→	ADJ
ejpam-4638	141	2	xα(i)−	xα(i)−	PROPN
ejpam-4638	141	3	−→	−→	NOUN
ejpam-4638	141	4	x	x	INTJ
ejpam-4638	141	5	(	(	PUNCT
ejpam-4638	141	6	i)|	i)|	INTJ
ejpam-4638	141	7	,	,	PUNCT
ejpam-4638	141	8	−→	−→	NOUN
ejpam-4638	141	9	dβ(i	dβ(i	PUNCT
ejpam-4638	141	10	)	)	PUNCT
ejpam-4638	141	11	=	=	PUNCT
ejpam-4638	142	1	|	|	ADV
ejpam-4638	142	2	−→	−→	ADV
ejpam-4638	142	3	c	c	NOUN
ejpam-4638	142	4	2	2	X
ejpam-4638	142	5	.	.	X
ejpam-4638	143	1	−→	−→	ADJ
ejpam-4638	143	2	xβ(i)−	xβ(i)−	NOUN
ejpam-4638	143	3	−→	−→	NOUN
ejpam-4638	143	4	x	x	X
ejpam-4638	143	5	(	(	PUNCT
ejpam-4638	143	6	i)|	i)|	INTJ
ejpam-4638	143	7	,	,	PUNCT
ejpam-4638	143	8	−→	−→	NOUN
ejpam-4638	143	9	dδ(i	dδ(i	NOUN
ejpam-4638	143	10	)	)	PUNCT
ejpam-4638	144	1	=	=	PUNCT
ejpam-4638	144	2	|	|	ADV
ejpam-4638	144	3	−→	−→	ADV
ejpam-4638	144	4	c	c	NOUN
ejpam-4638	144	5	3	3	X
ejpam-4638	144	6	.	.	PUNCT
ejpam-4638	145	1	−→	−→	ADJ
ejpam-4638	145	2	x	x	SYM
ejpam-4638	145	3	δ(i)−	δ(i)−	NOUN
ejpam-4638	145	4	−→	−→	NOUN
ejpam-4638	145	5	x	x	INTJ
ejpam-4638	145	6	(	(	PUNCT
ejpam-4638	145	7	i)|	i)|	INTJ
ejpam-4638	145	8	.	.	PUNCT
ejpam-4638	146	1	(	(	PUNCT
ejpam-4638	146	2	3	3	X
ejpam-4638	146	3	)	)	PUNCT
ejpam-4638	146	4	where	where	SCONJ
ejpam-4638	146	5	−→	−→	NOUN
ejpam-4638	146	6	c	c	NOUN
ejpam-4638	146	7	1	1	NUM
ejpam-4638	146	8	,	,	PUNCT
ejpam-4638	146	9	−→	−→	NOUN
ejpam-4638	146	10	c	c	NOUN
ejpam-4638	146	11	2	2	NUM
ejpam-4638	146	12	and	and	CCONJ
ejpam-4638	146	13	−→	−→	NOUN
ejpam-4638	146	14	c	c	NOUN
ejpam-4638	146	15	3	3	NUM
ejpam-4638	146	16	are	be	AUX
ejpam-4638	146	17	random	random	ADJ
ejpam-4638	146	18	vectors	vector	NOUN
ejpam-4638	146	19	.	.	PUNCT
ejpam-4638	147	1	xα	xα	INTJ
ejpam-4638	147	2	,	,	PUNCT
ejpam-4638	147	3	xβ	xβ	PROPN
ejpam-4638	147	4	,	,	PUNCT
ejpam-4638	147	5	xδ	xδ	PROPN
ejpam-4638	147	6	are	be	AUX
ejpam-4638	147	7	respectively	respectively	ADV
ejpam-4638	147	8	the	the	DET
ejpam-4638	147	9	positions	position	NOUN
ejpam-4638	147	10	of	of	ADP
ejpam-4638	147	11	α	α	PROPN
ejpam-4638	147	12	,	,	PUNCT
ejpam-4638	147	13	β	β	X
ejpam-4638	147	14	and	and	CCONJ
ejpam-4638	147	15	δ	δ	PROPN
ejpam-4638	147	16	.	.	PUNCT
ejpam-4638	148	1	the	the	DET
ejpam-4638	148	2	new	new	ADJ
ejpam-4638	148	3	best	good	ADJ
ejpam-4638	148	4	position	position	NOUN
ejpam-4638	148	5	of	of	ADP
ejpam-4638	148	6	wolves	wolf	NOUN
ejpam-4638	148	7	,	,	PUNCT
ejpam-4638	148	8	which	which	PRON
ejpam-4638	148	9	is	be	AUX
ejpam-4638	148	10	the	the	DET
ejpam-4638	148	11	optimal	optimal	ADJ
ejpam-4638	148	12	solution	solution	NOUN
ejpam-4638	148	13	,	,	PUNCT
ejpam-4638	148	14	is	be	AUX
ejpam-4638	148	15	:	:	PUNCT
ejpam-4638	148	16	x(i+	x(i+	PROPN
ejpam-4638	148	17	1	1	X
ejpam-4638	148	18	)	)	PUNCT
ejpam-4638	148	19	=	=	SYM
ejpam-4638	148	20	0.7×x1(i	0.7×x1(i	NOUN
ejpam-4638	148	21	)	)	PUNCT
ejpam-4638	148	22	+	+	NUM
ejpam-4638	148	23	0.2×x2(i	0.2×x2(i	NOUN
ejpam-4638	148	24	)	)	PUNCT
ejpam-4638	148	25	+	+	SYM
ejpam-4638	148	26	0.1×x3(i	0.1×x3(i	PROPN
ejpam-4638	148	27	)	)	PUNCT
ejpam-4638	148	28	(	(	PUNCT
ejpam-4638	148	29	4	4	X
ejpam-4638	148	30	)	)	PUNCT
ejpam-4638	148	31	where	where	SCONJ
ejpam-4638	148	32	:	:	PUNCT
ejpam-4638	149	1			PROPN
ejpam-4638	149	2	−→	−→	NOUN
ejpam-4638	149	3	x	x	NOUN
ejpam-4638	149	4	1(i	1(i	NUM
ejpam-4638	149	5	)	)	PUNCT
ejpam-4638	149	6	=	=	VERB
ejpam-4638	150	1	−→	−→	NOUN
ejpam-4638	150	2	xα(i)−	xα(i)−	PROPN
ejpam-4638	150	3	−→	−→	NOUN
ejpam-4638	150	4	a	a	DET
ejpam-4638	150	5	1	1	NUM
ejpam-4638	150	6	.	.	PUNCT
ejpam-4638	151	1	−→	−→	ADJ
ejpam-4638	151	2	dα(i	dα(i	NOUN
ejpam-4638	151	3	)	)	PUNCT
ejpam-4638	152	1	−→	−→	NOUN
ejpam-4638	152	2	x	x	SYM
ejpam-4638	152	3	2(i	2(i	NUM
ejpam-4638	152	4	)	)	PUNCT
ejpam-4638	152	5	=	=	VERB
ejpam-4638	152	6	−→	−→	NOUN
ejpam-4638	153	1	xβ(i)−	xβ(i)−	NOUN
ejpam-4638	153	2	−→	−→	NOUN
ejpam-4638	153	3	a	a	DET
ejpam-4638	153	4	2	2	NUM
ejpam-4638	153	5	.	.	PUNCT
ejpam-4638	153	6	−→	−→	NOUN
ejpam-4638	153	7	dβ(i	dβ(i	PUNCT
ejpam-4638	153	8	)	)	PUNCT
ejpam-4638	154	1	−→	−→	NOUN
ejpam-4638	154	2	x	x	SYM
ejpam-4638	154	3	3(i	3(i	NUM
ejpam-4638	154	4	)	)	PUNCT
ejpam-4638	154	5	=	=	SYM
ejpam-4638	154	6	−→	−→	NOUN
ejpam-4638	154	7	x	x	PUNCT
ejpam-4638	154	8	δ(i)−	δ(i)−	NOUN
ejpam-4638	154	9	−→	−→	NOUN
ejpam-4638	154	10	a	a	DET
ejpam-4638	154	11	3	3	NUM
ejpam-4638	154	12	.	.	PUNCT
ejpam-4638	155	1	−→	−→	ADJ
ejpam-4638	155	2	dδ(i	dδ(i	NOUN
ejpam-4638	155	3	)	)	PUNCT
ejpam-4638	155	4	(	(	PUNCT
ejpam-4638	155	5	5	5	NUM
ejpam-4638	155	6	)	)	PUNCT
ejpam-4638	155	7	2.3.2	2.3.2	NUM
ejpam-4638	155	8	.	.	PUNCT
ejpam-4638	156	1	advantages	advantage	NOUN
ejpam-4638	156	2	in	in	ADP
ejpam-4638	156	3	practice	practice	NOUN
ejpam-4638	156	4	the	the	DET
ejpam-4638	156	5	hmgwoga	hmgwoga	NOUN
ejpam-4638	156	6	method	method	NOUN
ejpam-4638	156	7	has	have	AUX
ejpam-4638	156	8	given	give	VERB
ejpam-4638	156	9	better	well	ADJ
ejpam-4638	156	10	results	result	NOUN
ejpam-4638	156	11	(	(	PUNCT
ejpam-4638	156	12	it	it	PRON
ejpam-4638	156	13	is	be	AUX
ejpam-4638	156	14	faster	fast	ADJ
ejpam-4638	156	15	and	and	CCONJ
ejpam-4638	156	16	more	more	ADJ
ejpam-4638	156	17	convergent	convergent	NOUN
ejpam-4638	156	18	)	)	PUNCT
ejpam-4638	156	19	compared	compare	VERB
ejpam-4638	156	20	to	to	ADP
ejpam-4638	156	21	the	the	DET
ejpam-4638	156	22	initial	initial	ADJ
ejpam-4638	156	23	method	method	NOUN
ejpam-4638	156	24	gwo	gwo	NOUN
ejpam-4638	156	25	on	on	ADP
ejpam-4638	156	26	mono	mono	NOUN
ejpam-4638	156	27	-	-	PUNCT
ejpam-4638	156	28	objective	objective	ADJ
ejpam-4638	156	29	optimization	optimization	NOUN
ejpam-4638	156	30	problems[16	problems[16	NOUN
ejpam-4638	156	31	]	]	PUNCT
ejpam-4638	156	32	.	.	PUNCT
ejpam-4638	157	1	2.4	2.4	NUM
ejpam-4638	157	2	.	.	PUNCT
ejpam-4638	158	1	performance	performance	NOUN
ejpam-4638	158	2	study	study	NOUN
ejpam-4638	158	3	in	in	ADP
ejpam-4638	158	4	general	general	ADJ
ejpam-4638	158	5	,	,	PUNCT
ejpam-4638	158	6	when	when	SCONJ
ejpam-4638	158	7	evaluating	evaluate	VERB
ejpam-4638	158	8	a	a	DET
ejpam-4638	158	9	new	new	ADJ
ejpam-4638	158	10	method	method	NOUN
ejpam-4638	158	11	,	,	PUNCT
ejpam-4638	158	12	many	many	ADJ
ejpam-4638	158	13	things	thing	NOUN
ejpam-4638	158	14	are	be	AUX
ejpam-4638	158	15	considered	consider	VERB
ejpam-4638	158	16	.	.	PUNCT
ejpam-4638	159	1	it	it	PRON
ejpam-4638	159	2	concerns	concern	VERB
ejpam-4638	159	3	the	the	DET
ejpam-4638	159	4	convergence	convergence	NOUN
ejpam-4638	159	5	of	of	ADP
ejpam-4638	159	6	obtained	obtain	VERB
ejpam-4638	159	7	solutions	solution	NOUN
ejpam-4638	159	8	toward	toward	ADP
ejpam-4638	159	9	the	the	DET
ejpam-4638	159	10	true	true	ADJ
ejpam-4638	159	11	pareto	pareto	ADJ
ejpam-4638	159	12	front	front	NOUN
ejpam-4638	159	13	and	and	CCONJ
ejpam-4638	159	14	their	their	PRON
ejpam-4638	159	15	distribution	distribution	NOUN
ejpam-4638	159	16	on	on	ADP
ejpam-4638	159	17	the	the	DET
ejpam-4638	159	18	true	true	ADJ
ejpam-4638	159	19	pareto	pareto	ADJ
ejpam-4638	159	20	front	front	NOUN
ejpam-4638	159	21	.	.	PUNCT
ejpam-4638	160	1	it	it	PRON
ejpam-4638	160	2	is	be	AUX
ejpam-4638	160	3	therefore	therefore	ADV
ejpam-4638	160	4	more	more	ADV
ejpam-4638	160	5	interesting	interesting	ADJ
ejpam-4638	160	6	to	to	PART
ejpam-4638	160	7	use	use	VERB
ejpam-4638	160	8	problems	problem	NOUN
ejpam-4638	160	9	for	for	ADP
ejpam-4638	160	10	which	which	PRON
ejpam-4638	160	11	the	the	DET
ejpam-4638	160	12	w.	w.	PROPN
ejpam-4638	160	13	bamogo	bamogo	PROPN
ejpam-4638	160	14	,	,	PUNCT
ejpam-4638	160	15	j.	j.	PROPN
ejpam-4638	160	16	poda	poda	PROPN
ejpam-4638	160	17	,	,	PUNCT
ejpam-4638	160	18	k.	k.	PROPN
ejpam-4638	160	19	somé	somé	PROPN
ejpam-4638	160	20	/	/	SYM
ejpam-4638	160	21	eur	eur	PROPN
ejpam-4638	160	22	.	.	PUNCT
ejpam-4638	161	1	j.	j.	PROPN
ejpam-4638	161	2	pure	pure	PROPN
ejpam-4638	161	3	appl	appl	PROPN
ejpam-4638	161	4	.	.	PROPN
ejpam-4638	161	5	math	math	PROPN
ejpam-4638	161	6	,	,	PUNCT
ejpam-4638	161	7	16	16	NUM
ejpam-4638	161	8	(	(	PUNCT
ejpam-4638	161	9	1	1	NUM
ejpam-4638	161	10	)	)	PUNCT
ejpam-4638	161	11	(	(	PUNCT
ejpam-4638	161	12	2023	2023	NUM
ejpam-4638	161	13	)	)	PUNCT
ejpam-4638	161	14	,	,	PUNCT
ejpam-4638	161	15	595	595	NUM
ejpam-4638	161	16	-	-	SYM
ejpam-4638	161	17	608	608	NUM
ejpam-4638	161	18	601	601	NUM
ejpam-4638	161	19	true	true	ADJ
ejpam-4638	161	20	pareto	pareto	ADJ
ejpam-4638	161	21	front	front	NOUN
ejpam-4638	161	22	is	be	AUX
ejpam-4638	161	23	known	know	VERB
ejpam-4638	161	24	.	.	PUNCT
ejpam-4638	162	1	after	after	ADP
ejpam-4638	162	2	the	the	DET
ejpam-4638	162	3	numerical	numerical	ADJ
ejpam-4638	162	4	resolution	resolution	NOUN
ejpam-4638	162	5	of	of	ADP
ejpam-4638	162	6	some	some	DET
ejpam-4638	162	7	test	test	NOUN
ejpam-4638	162	8	problems	problem	NOUN
ejpam-4638	162	9	,	,	PUNCT
ejpam-4638	162	10	the	the	DET
ejpam-4638	162	11	generational	generational	ADJ
ejpam-4638	162	12	distance	distance	NOUN
ejpam-4638	162	13	γ	γ	NOUN
ejpam-4638	162	14	and	and	CCONJ
ejpam-4638	162	15	spread	spread	VERB
ejpam-4638	162	16	metric	metric	ADJ
ejpam-4638	162	17	∆	∆	X
ejpam-4638	162	18	will	will	AUX
ejpam-4638	162	19	be	be	AUX
ejpam-4638	162	20	calculated	calculate	VERB
ejpam-4638	162	21	.	.	PUNCT
ejpam-4638	163	1	generational	generational	ADJ
ejpam-4638	163	2	distance	distance	NOUN
ejpam-4638	163	3	γ	γ	X
ejpam-4638	163	4	.	.	PUNCT
ejpam-4638	164	1	it	it	PRON
ejpam-4638	164	2	allows	allow	VERB
ejpam-4638	164	3	us	we	PRON
ejpam-4638	164	4	to	to	PART
ejpam-4638	164	5	measure	measure	VERB
ejpam-4638	164	6	the	the	DET
ejpam-4638	164	7	distance	distance	NOUN
ejpam-4638	164	8	between	between	ADP
ejpam-4638	164	9	a	a	DET
ejpam-4638	164	10	set	set	NOUN
ejpam-4638	164	11	of	of	ADP
ejpam-4638	164	12	obtained	obtain	VERB
ejpam-4638	164	13	solutions	solution	NOUN
ejpam-4638	164	14	and	and	CCONJ
ejpam-4638	164	15	the	the	DET
ejpam-4638	164	16	analytic	analytic	ADJ
ejpam-4638	164	17	pareto	pareto	ADJ
ejpam-4638	164	18	front	front	NOUN
ejpam-4638	164	19	.	.	PUNCT
ejpam-4638	165	1	it	it	PRON
ejpam-4638	165	2	is	be	AUX
ejpam-4638	165	3	denotedγ	denotedγ	NOUN
ejpam-4638	165	4	and	and	CCONJ
ejpam-4638	165	5	defined	define	VERB
ejpam-4638	165	6	by[2	by[2	PROPN
ejpam-4638	165	7	,	,	PUNCT
ejpam-4638	165	8	18	18	NUM
ejpam-4638	165	9	]	]	SYM
ejpam-4638	165	10	:	:	PUNCT
ejpam-4638	165	11	γ	γ	X
ejpam-4638	165	12	=	=	SYM
ejpam-4638	165	13	1	1	NUM
ejpam-4638	165	14	n	n	CCONJ
ejpam-4638	165	15	(	(	PUNCT
ejpam-4638	165	16	n∑	n∑	NOUN
ejpam-4638	165	17	i=1	i=1	PROPN
ejpam-4638	165	18	dpi	dpi	PROPN
ejpam-4638	165	19	)	)	PUNCT
ejpam-4638	165	20	1	1	NUM
ejpam-4638	165	21	p	p	NOUN
ejpam-4638	165	22	;	;	PUNCT
ejpam-4638	165	23	(	(	PUNCT
ejpam-4638	165	24	6	6	NUM
ejpam-4638	165	25	)	)	PUNCT
ejpam-4638	165	26	where	where	SCONJ
ejpam-4638	165	27	we	we	PRON
ejpam-4638	165	28	will	will	AUX
ejpam-4638	165	29	take	take	VERB
ejpam-4638	165	30	p	p	NOUN
ejpam-4638	165	31	=	=	NOUN
ejpam-4638	165	32	2	2	NUM
ejpam-4638	165	33	;	;	PUNCT
ejpam-4638	165	34	di	di	X
ejpam-4638	165	35	is	be	AUX
ejpam-4638	165	36	the	the	DET
ejpam-4638	165	37	distance	distance	NOUN
ejpam-4638	165	38	between	between	ADP
ejpam-4638	165	39	the	the	DET
ejpam-4638	165	40	solution	solution	NOUN
ejpam-4638	165	41	i	i	PRON
ejpam-4638	165	42	and	and	CCONJ
ejpam-4638	165	43	the	the	DET
ejpam-4638	165	44	nearest	near	ADJ
ejpam-4638	165	45	solution	solution	NOUN
ejpam-4638	165	46	that	that	PRON
ejpam-4638	165	47	belongs	belong	VERB
ejpam-4638	165	48	to	to	ADP
ejpam-4638	165	49	the	the	DET
ejpam-4638	165	50	analytical	analytical	ADJ
ejpam-4638	165	51	front	front	NOUN
ejpam-4638	165	52	;	;	PUNCT
ejpam-4638	165	53	n	n	PRON
ejpam-4638	165	54	is	be	AUX
ejpam-4638	165	55	the	the	DET
ejpam-4638	165	56	number	number	NOUN
ejpam-4638	165	57	of	of	ADP
ejpam-4638	165	58	approached	approach	VERB
ejpam-4638	165	59	solutions	solution	NOUN
ejpam-4638	165	60	that	that	PRON
ejpam-4638	165	61	we	we	PRON
ejpam-4638	165	62	have	have	AUX
ejpam-4638	165	63	got	get	VERB
ejpam-4638	165	64	.	.	PUNCT
ejpam-4638	166	1	when	when	SCONJ
ejpam-4638	166	2	its	its	PRON
ejpam-4638	166	3	value	value	NOUN
ejpam-4638	166	4	is	be	AUX
ejpam-4638	166	5	close	close	ADJ
ejpam-4638	166	6	to	to	ADP
ejpam-4638	166	7	zero	zero	NUM
ejpam-4638	166	8	,	,	PUNCT
ejpam-4638	166	9	the	the	DET
ejpam-4638	166	10	method	method	NOUN
ejpam-4638	166	11	has	have	VERB
ejpam-4638	166	12	good	good	ADJ
ejpam-4638	166	13	convergence	convergence	NOUN
ejpam-4638	166	14	.	.	PUNCT
ejpam-4638	167	1	spread	spread	VERB
ejpam-4638	167	2	∆	∆	PROPN
ejpam-4638	167	3	.	.	PUNCT
ejpam-4638	168	1	it	it	PRON
ejpam-4638	168	2	provides	provide	VERB
ejpam-4638	168	3	the	the	DET
ejpam-4638	168	4	degree	degree	NOUN
ejpam-4638	168	5	of	of	ADP
ejpam-4638	168	6	distribution	distribution	NOUN
ejpam-4638	168	7	of	of	ADP
ejpam-4638	168	8	obtained	obtain	VERB
ejpam-4638	168	9	solution	solution	NOUN
ejpam-4638	168	10	on	on	ADP
ejpam-4638	168	11	true	true	ADJ
ejpam-4638	168	12	pareto	pareto	ADJ
ejpam-4638	168	13	front[4	front[4	NOUN
ejpam-4638	168	14	]	]	PUNCT
ejpam-4638	168	15	.	.	PUNCT
ejpam-4638	169	1	a	a	DET
ejpam-4638	169	2	method	method	NOUN
ejpam-4638	169	3	is	be	AUX
ejpam-4638	169	4	good	good	ADJ
ejpam-4638	169	5	if	if	SCONJ
ejpam-4638	169	6	the	the	DET
ejpam-4638	169	7	value	value	NOUN
ejpam-4638	169	8	of	of	ADP
ejpam-4638	169	9	this	this	DET
ejpam-4638	169	10	metric	metric	NOUN
ejpam-4638	169	11	is	be	AUX
ejpam-4638	169	12	close	close	ADJ
ejpam-4638	169	13	to	to	ADP
ejpam-4638	169	14	zero	zero	NUM
ejpam-4638	169	15	.	.	PUNCT
ejpam-4638	170	1	∆	∆	X
ejpam-4638	171	1	=	=	PRON
ejpam-4638	172	1	m∑	m∑	CCONJ
ejpam-4638	172	2	m=1	m=1	PROPN
ejpam-4638	172	3	dem	dem	NOUN
ejpam-4638	173	1	+	+	CCONJ
ejpam-4638	173	2	|q|∑	|q|∑	NOUN
ejpam-4638	173	3	i=1	i=1	PRON
ejpam-4638	173	4	|di	|di	NUM
ejpam-4638	173	5	−	−	PROPN
ejpam-4638	173	6	d|	d|	PROPN
ejpam-4638	173	7	m∑	m∑	CCONJ
ejpam-4638	173	8	m=1	m=1	PROPN
ejpam-4638	173	9	dem	dem	PROPN
ejpam-4638	173	10	+	+	X
ejpam-4638	173	11	|q|d	|q|d	ADJ
ejpam-4638	173	12	;	;	PUNCT
ejpam-4638	173	13	where	where	SCONJ
ejpam-4638	173	14	the	the	DET
ejpam-4638	173	15	di	di	NOUN
ejpam-4638	173	16	is	be	AUX
ejpam-4638	173	17	the	the	DET
ejpam-4638	173	18	euclidean	euclidean	ADJ
ejpam-4638	173	19	distance	distance	NOUN
ejpam-4638	173	20	between	between	ADP
ejpam-4638	173	21	the	the	DET
ejpam-4638	173	22	neighboring	neighboring	NOUN
ejpam-4638	173	23	solutions	solution	NOUN
ejpam-4638	173	24	with	with	ADP
ejpam-4638	173	25	the	the	DET
ejpam-4638	173	26	mean	mean	ADJ
ejpam-4638	173	27	value	value	NOUN
ejpam-4638	173	28	d.	d.	PROPN
ejpam-4638	173	29	the	the	DET
ejpam-4638	173	30	parameter	parameter	PROPN
ejpam-4638	173	31	dem	dem	PROPN
ejpam-4638	173	32	is	be	AUX
ejpam-4638	173	33	the	the	DET
ejpam-4638	173	34	distance	distance	NOUN
ejpam-4638	173	35	between	between	ADP
ejpam-4638	173	36	the	the	DET
ejpam-4638	173	37	extreme	extreme	ADJ
ejpam-4638	173	38	solutions	solution	NOUN
ejpam-4638	173	39	of	of	ADP
ejpam-4638	173	40	the	the	DET
ejpam-4638	173	41	front	front	NOUN
ejpam-4638	173	42	obtained	obtain	VERB
ejpam-4638	173	43	by	by	ADP
ejpam-4638	173	44	the	the	DET
ejpam-4638	173	45	method	method	NOUN
ejpam-4638	173	46	and	and	CCONJ
ejpam-4638	173	47	the	the	DET
ejpam-4638	173	48	true	true	ADJ
ejpam-4638	173	49	pareto	pareto	ADJ
ejpam-4638	173	50	front	front	NOUN
ejpam-4638	173	51	[	[	X
ejpam-4638	173	52	6	6	NUM
ejpam-4638	173	53	]	]	PUNCT
ejpam-4638	173	54	.	.	PUNCT
ejpam-4638	174	1	test	test	NOUN
ejpam-4638	174	2	problems	problem	NOUN
ejpam-4638	174	3	.	.	PUNCT
ejpam-4638	175	1	we	we	PRON
ejpam-4638	175	2	have	have	AUX
ejpam-4638	175	3	selected	select	VERB
ejpam-4638	175	4	five	five	NUM
ejpam-4638	175	5	test	test	NOUN
ejpam-4638	175	6	problems	problem	NOUN
ejpam-4638	175	7	from	from	ADP
ejpam-4638	175	8	the	the	DET
ejpam-4638	175	9	literature	literature	NOUN
ejpam-4638	175	10	to	to	PART
ejpam-4638	175	11	evaluate	evaluate	VERB
ejpam-4638	175	12	the	the	DET
ejpam-4638	175	13	performance	performance	NOUN
ejpam-4638	175	14	of	of	ADP
ejpam-4638	175	15	our	our	PRON
ejpam-4638	175	16	new	new	ADJ
ejpam-4638	175	17	method	method	NOUN
ejpam-4638	175	18	.	.	PUNCT
ejpam-4638	176	1	among	among	ADP
ejpam-4638	176	2	them	they	PRON
ejpam-4638	176	3	,	,	PUNCT
ejpam-4638	176	4	there	there	PRON
ejpam-4638	176	5	are	be	VERB
ejpam-4638	176	6	with	with	ADP
ejpam-4638	176	7	the	the	DET
ejpam-4638	176	8	pareto	pareto	ADJ
ejpam-4638	176	9	front	front	NOUN
ejpam-4638	176	10	being	be	AUX
ejpam-4638	176	11	convex	convex	NOUN
ejpam-4638	176	12	,	,	PUNCT
ejpam-4638	176	13	concave	concave	NOUN
ejpam-4638	176	14	,	,	PUNCT
ejpam-4638	176	15	or	or	CCONJ
ejpam-4638	176	16	discontinuous	discontinuous	ADJ
ejpam-4638	176	17	.	.	PUNCT
ejpam-4638	177	1	all	all	DET
ejpam-4638	177	2	the	the	DET
ejpam-4638	177	3	test	test	NOUN
ejpam-4638	177	4	problems	problem	NOUN
ejpam-4638	177	5	are	be	AUX
ejpam-4638	177	6	bi	bi	ADJ
ejpam-4638	177	7	-	-	ADJ
ejpam-4638	177	8	objective	objective	ADJ
ejpam-4638	177	9	optimization	optimization	NOUN
ejpam-4638	177	10	problems	problem	NOUN
ejpam-4638	177	11	from	from	ADP
ejpam-4638	177	12	[	[	X
ejpam-4638	177	13	3	3	NUM
ejpam-4638	177	14	,	,	PUNCT
ejpam-4638	177	15	4	4	NUM
ejpam-4638	177	16	]	]	PUNCT
ejpam-4638	177	17	.	.	PUNCT
ejpam-4638	178	1	here	here	ADV
ejpam-4638	178	2	is	be	AUX
ejpam-4638	178	3	the	the	DET
ejpam-4638	178	4	list	list	NOUN
ejpam-4638	178	5	of	of	ADP
ejpam-4638	178	6	test	test	NOUN
ejpam-4638	178	7	problems	problem	NOUN
ejpam-4638	178	8	we	we	PRON
ejpam-4638	178	9	have	have	AUX
ejpam-4638	178	10	solved	solve	VERB
ejpam-4638	178	11	.	.	PUNCT
ejpam-4638	179	1	w.	w.	PROPN
ejpam-4638	179	2	bamogo	bamogo	PROPN
ejpam-4638	179	3	,	,	PUNCT
ejpam-4638	179	4	j.	j.	PROPN
ejpam-4638	179	5	poda	poda	PROPN
ejpam-4638	179	6	,	,	PUNCT
ejpam-4638	179	7	k.	k.	PROPN
ejpam-4638	179	8	somé	somé	PROPN
ejpam-4638	179	9	/	/	SYM
ejpam-4638	179	10	eur	eur	PROPN
ejpam-4638	179	11	.	.	PUNCT
ejpam-4638	180	1	j.	j.	PROPN
ejpam-4638	180	2	pure	pure	PROPN
ejpam-4638	180	3	appl	appl	PROPN
ejpam-4638	180	4	.	.	PROPN
ejpam-4638	180	5	math	math	PROPN
ejpam-4638	180	6	,	,	PUNCT
ejpam-4638	180	7	16	16	NUM
ejpam-4638	180	8	(	(	PUNCT
ejpam-4638	180	9	1	1	NUM
ejpam-4638	180	10	)	)	PUNCT
ejpam-4638	180	11	(	(	PUNCT
ejpam-4638	180	12	2023	2023	NUM
ejpam-4638	180	13	)	)	PUNCT
ejpam-4638	180	14	,	,	PUNCT
ejpam-4638	180	15	595	595	NUM
ejpam-4638	180	16	-	-	SYM
ejpam-4638	180	17	608	608	NUM
ejpam-4638	180	18	602	602	NUM
ejpam-4638	180	19	code	code	NOUN
ejpam-4638	180	20	formulation	formulation	NOUN
ejpam-4638	180	21	number	number	NOUN
ejpam-4638	180	22	of	of	ADP
ejpam-4638	180	23	variables	variable	NOUN
ejpam-4638	180	24	pareto	pareto	ADJ
ejpam-4638	180	25	front	front	ADJ
ejpam-4638	180	26	kind	kind	NOUN
ejpam-4638	180	27	pl1	pl1	PROPN
ejpam-4638	180	28			PRON
ejpam-4638	180	29	min	min	NOUN
ejpam-4638	180	30	f1(x	f1(x	NOUN
ejpam-4638	180	31	)	)	PUNCT
ejpam-4638	180	32	=	=	SYM
ejpam-4638	181	1	x2	x2	PROPN
ejpam-4638	181	2	min	min	PROPN
ejpam-4638	181	3	f2(x	f2(x	NOUN
ejpam-4638	181	4	)	)	PUNCT
ejpam-4638	181	5	=	=	PUNCT
ejpam-4638	182	1	(	(	PUNCT
ejpam-4638	182	2	x−	x−	PROPN
ejpam-4638	182	3	2)2	2)2	NUM
ejpam-4638	182	4	x	x	SYM
ejpam-4638	182	5	∈	∈	PROPN
ejpam-4638	183	1	[	[	X
ejpam-4638	183	2	−5	−5	NOUN
ejpam-4638	183	3	,	,	PUNCT
ejpam-4638	183	4	5	5	X
ejpam-4638	183	5	]	]	SYM
ejpam-4638	183	6	1	1	NUM
ejpam-4638	183	7	convex	convex	PROPN
ejpam-4638	183	8	pl2	pl2	PROPN
ejpam-4638	183	9			CCONJ
ejpam-4638	183	10	min	min	NOUN
ejpam-4638	183	11	f1(x	f1(x	PROPN
ejpam-4638	183	12	)	)	PUNCT
ejpam-4638	183	13	=	=	SYM
ejpam-4638	184	1	x1	x1	NUM
ejpam-4638	184	2	min	min	PROPN
ejpam-4638	184	3	f2(x	f2(x	NOUN
ejpam-4638	184	4	)	)	PUNCT
ejpam-4638	184	5	=	=	SYM
ejpam-4638	184	6	1	1	NUM
ejpam-4638	185	1	+	+	NUM
ejpam-4638	185	2	x2	x2	NOUN
ejpam-4638	186	1	x1	x1	NUM
ejpam-4638	186	2	x	x	SYM
ejpam-4638	186	3	=	=	SYM
ejpam-4638	186	4	(	(	PUNCT
ejpam-4638	186	5	x1	x1	PROPN
ejpam-4638	186	6	,	,	PUNCT
ejpam-4638	186	7	x2	x2	PROPN
ejpam-4638	186	8	)	)	PUNCT
ejpam-4638	186	9	∈	∈	PROPN
ejpam-4638	187	1	[	[	X
ejpam-4638	187	2	0.1	0.1	NUM
ejpam-4638	187	3	,	,	PUNCT
ejpam-4638	187	4	1]×	1]×	NUM
ejpam-4638	187	5	[	[	X
ejpam-4638	187	6	0.0	0.0	NUM
ejpam-4638	187	7	,	,	PUNCT
ejpam-4638	187	8	5	5	NUM
ejpam-4638	187	9	]	]	SYM
ejpam-4638	187	10	2	2	NUM
ejpam-4638	187	11	convex	convex	NOUN
ejpam-4638	187	12	pl3	pl3	NOUN
ejpam-4638	187	13			PROPN
ejpam-4638	187	14	min	min	NOUN
ejpam-4638	187	15	f1(x	f1(x	PROPN
ejpam-4638	187	16	)	)	PUNCT
ejpam-4638	187	17	=	=	SYM
ejpam-4638	188	1	x1	x1	NUM
ejpam-4638	188	2	min	min	PROPN
ejpam-4638	188	3	f2(x	f2(x	NOUN
ejpam-4638	188	4	)	)	PUNCT
ejpam-4638	188	5	=	=	SYM
ejpam-4638	188	6	g(x)×	g(x)×	PROPN
ejpam-4638	188	7	(	(	PUNCT
ejpam-4638	188	8	1−	1−	NUM
ejpam-4638	188	9	√	√	NUM
ejpam-4638	188	10	f1(x	f1(x	NUM
ejpam-4638	188	11	)	)	PUNCT
ejpam-4638	188	12	g(x	g(x	NOUN
ejpam-4638	188	13	)	)	PUNCT
ejpam-4638	188	14	)	)	PUNCT
ejpam-4638	189	1	g(x	g(x	NOUN
ejpam-4638	189	2	)	)	PUNCT
ejpam-4638	190	1	=	=	SYM
ejpam-4638	190	2	1	1	NUM
ejpam-4638	191	1	+	+	NUM
ejpam-4638	191	2	9	9	NUM
ejpam-4638	191	3	n−	n−	NOUN
ejpam-4638	191	4	1	1	NUM
ejpam-4638	191	5	×	×	NOUN
ejpam-4638	191	6	n∑	n∑	NOUN
ejpam-4638	191	7	i=2	i=2	PROPN
ejpam-4638	191	8	xi	xi	ADP
ejpam-4638	191	9	x	x	SYM
ejpam-4638	191	10	=	=	PRON
ejpam-4638	191	11	(	(	PUNCT
ejpam-4638	191	12	x1	x1	PROPN
ejpam-4638	191	13	,	,	PUNCT
ejpam-4638	191	14	x2	x2	PROPN
ejpam-4638	191	15	,	,	PUNCT
ejpam-4638	191	16	·	·	PUNCT
ejpam-4638	191	17	·	·	PUNCT
ejpam-4638	191	18	·	·	PUNCT
ejpam-4638	191	19	,	,	PUNCT
ejpam-4638	191	20	x10	x10	X
ejpam-4638	191	21	)	)	PUNCT
ejpam-4638	191	22	∈	∈	PROPN
ejpam-4638	192	1	[	[	X
ejpam-4638	192	2	0	0	NUM
ejpam-4638	192	3	,	,	PUNCT
ejpam-4638	192	4	1]10	1]10	NUM
ejpam-4638	192	5	10	10	NUM
ejpam-4638	192	6	convex	convex	PROPN
ejpam-4638	192	7	pl4	pl4	PROPN
ejpam-4638	192	8			NUM
ejpam-4638	192	9	min	min	NOUN
ejpam-4638	192	10	f1(x	f1(x	PROPN
ejpam-4638	192	11	)	)	PUNCT
ejpam-4638	192	12	=	=	SYM
ejpam-4638	193	1	x1	x1	NUM
ejpam-4638	193	2	min	min	PROPN
ejpam-4638	193	3	f2(x	f2(x	NOUN
ejpam-4638	193	4	)	)	PUNCT
ejpam-4638	193	5	=	=	SYM
ejpam-4638	193	6	g(x)×	g(x)×	PROPN
ejpam-4638	193	7	(	(	PUNCT
ejpam-4638	193	8	1−	1−	NUM
ejpam-4638	193	9	(	(	PUNCT
ejpam-4638	193	10	f1(x	f1(x	NOUN
ejpam-4638	193	11	)	)	PUNCT
ejpam-4638	193	12	g(x	g(x	NOUN
ejpam-4638	193	13	)	)	PUNCT
ejpam-4638	193	14	)	)	PUNCT
ejpam-4638	193	15	2	2	X
ejpam-4638	193	16	)	)	PUNCT
ejpam-4638	193	17	g(x	g(x	NOUN
ejpam-4638	193	18	)	)	PUNCT
ejpam-4638	193	19	=	=	SYM
ejpam-4638	194	1	1	1	NUM
ejpam-4638	194	2	+	+	NUM
ejpam-4638	194	3	9	9	NUM
ejpam-4638	194	4	n−	n−	NOUN
ejpam-4638	194	5	1	1	NUM
ejpam-4638	194	6	×	×	NOUN
ejpam-4638	194	7	n∑	n∑	NOUN
ejpam-4638	194	8	i=2	i=2	PROPN
ejpam-4638	194	9	xi	xi	ADP
ejpam-4638	194	10	x	x	SYM
ejpam-4638	194	11	=	=	PRON
ejpam-4638	194	12	(	(	PUNCT
ejpam-4638	194	13	x1	x1	PROPN
ejpam-4638	194	14	,	,	PUNCT
ejpam-4638	194	15	x2	x2	PROPN
ejpam-4638	194	16	,	,	PUNCT
ejpam-4638	194	17	·	·	PUNCT
ejpam-4638	194	18	·	·	PUNCT
ejpam-4638	194	19	·	·	PUNCT
ejpam-4638	194	20	,	,	PUNCT
ejpam-4638	194	21	x10	x10	X
ejpam-4638	194	22	)	)	PUNCT
ejpam-4638	194	23	∈	∈	PROPN
ejpam-4638	195	1	[	[	X
ejpam-4638	195	2	0	0	NUM
ejpam-4638	195	3	,	,	PUNCT
ejpam-4638	195	4	1]10	1]10	NUM
ejpam-4638	195	5	10	10	NUM
ejpam-4638	195	6	concave	concave	NOUN
ejpam-4638	195	7	pl5	pl5	VERB
ejpam-4638	195	8			X
ejpam-4638	195	9	min	min	NOUN
ejpam-4638	195	10	f1(x	f1(x	NOUN
ejpam-4638	195	11	)	)	PUNCT
ejpam-4638	195	12	=	=	SYM
ejpam-4638	196	1	x1	x1	NUM
ejpam-4638	196	2	min	min	PROPN
ejpam-4638	196	3	f2(x	f2(x	NOUN
ejpam-4638	196	4	)	)	PUNCT
ejpam-4638	196	5	=	=	VERB
ejpam-4638	197	1	g(x)×	g(x)×	PROPN
ejpam-4638	197	2	h(x	h(x	PROPN
ejpam-4638	197	3	)	)	PUNCT
ejpam-4638	197	4	g(x	g(x	NOUN
ejpam-4638	197	5	)	)	PUNCT
ejpam-4638	198	1	=	=	SYM
ejpam-4638	198	2	1	1	NUM
ejpam-4638	199	1	+	+	NUM
ejpam-4638	199	2	9	9	NUM
ejpam-4638	199	3	n−	n−	NOUN
ejpam-4638	199	4	1	1	NUM
ejpam-4638	199	5	×	×	NOUN
ejpam-4638	199	6	n∑	n∑	X
ejpam-4638	199	7	i=2	i=2	PROPN
ejpam-4638	199	8	xi	xi	ADP
ejpam-4638	199	9	h(x	h(x	PROPN
ejpam-4638	199	10	)	)	PUNCT
ejpam-4638	200	1	=	=	SYM
ejpam-4638	201	1	1−	1−	NUM
ejpam-4638	201	2	√	√	NUM
ejpam-4638	201	3	f1(x	f1(x	NUM
ejpam-4638	201	4	)	)	PUNCT
ejpam-4638	201	5	g(x	g(x	NOUN
ejpam-4638	201	6	)	)	PUNCT
ejpam-4638	201	7	−	−	ADP
ejpam-4638	201	8	f1(x	f1(x	NUM
ejpam-4638	201	9	)	)	PUNCT
ejpam-4638	201	10	g(x	g(x	NOUN
ejpam-4638	201	11	)	)	PUNCT
ejpam-4638	201	12	sin(10πf1(x	sin(10πf1(x	NOUN
ejpam-4638	201	13	)	)	PUNCT
ejpam-4638	201	14	)	)	PUNCT
ejpam-4638	202	1	x	x	X
ejpam-4638	202	2	=	=	PUNCT
ejpam-4638	202	3	(	(	PUNCT
ejpam-4638	202	4	x1	x1	PROPN
ejpam-4638	202	5	,	,	PUNCT
ejpam-4638	202	6	x2	x2	PROPN
ejpam-4638	202	7	,	,	PUNCT
ejpam-4638	202	8	·	·	PUNCT
ejpam-4638	202	9	·	·	PUNCT
ejpam-4638	202	10	·	·	PUNCT
ejpam-4638	202	11	,	,	PUNCT
ejpam-4638	202	12	x10	x10	X
ejpam-4638	202	13	)	)	PUNCT
ejpam-4638	202	14	∈	∈	PROPN
ejpam-4638	203	1	[	[	X
ejpam-4638	203	2	0	0	NUM
ejpam-4638	203	3	,	,	PUNCT
ejpam-4638	203	4	1]10	1]10	NOUN
ejpam-4638	203	5	10	10	NUM
ejpam-4638	203	6	discontinuous	discontinuous	ADJ
ejpam-4638	203	7	3	3	NUM
ejpam-4638	203	8	.	.	PUNCT
ejpam-4638	203	9	main	main	ADJ
ejpam-4638	203	10	results	result	NOUN
ejpam-4638	203	11	3.1	3.1	NUM
ejpam-4638	203	12	.	.	PUNCT
ejpam-4638	204	1	hmgwoga	hmgwoga	NOUN
ejpam-4638	204	2	-	-	PUNCT
ejpam-4638	204	3	mo	mo	PROPN
ejpam-4638	204	4	method	method	NOUN
ejpam-4638	204	5	3.1.1	3.1.1	NUM
ejpam-4638	204	6	.	.	PUNCT
ejpam-4638	205	1	description	description	NOUN
ejpam-4638	205	2	the	the	DET
ejpam-4638	205	3	principle	principle	NOUN
ejpam-4638	205	4	of	of	ADP
ejpam-4638	205	5	method	method	ADJ
ejpam-4638	205	6	hmgwoga	hmgwoga	NOUN
ejpam-4638	205	7	-	-	PUNCT
ejpam-4638	205	8	mo	mo	PROPN
ejpam-4638	205	9	consists	consist	VERB
ejpam-4638	205	10	in	in	ADP
ejpam-4638	205	11	transforming	transform	VERB
ejpam-4638	205	12	a	a	DET
ejpam-4638	205	13	multiobjective	multiobjective	ADJ
ejpam-4638	205	14	problem	problem	NOUN
ejpam-4638	205	15	subject	subject	ADJ
ejpam-4638	205	16	to	to	ADP
ejpam-4638	205	17	constraints	constraint	NOUN
ejpam-4638	205	18	into	into	ADP
ejpam-4638	205	19	a	a	DET
ejpam-4638	205	20	single	single	ADJ
ejpam-4638	205	21	objective	objective	ADJ
ejpam-4638	205	22	problem	problem	NOUN
ejpam-4638	205	23	without	without	ADP
ejpam-4638	205	24	constraints	constraint	NOUN
ejpam-4638	205	25	,	,	PUNCT
ejpam-4638	205	26	which	which	PRON
ejpam-4638	205	27	is	be	AUX
ejpam-4638	205	28	then	then	ADV
ejpam-4638	205	29	resolved	resolve	VERB
ejpam-4638	205	30	by	by	ADP
ejpam-4638	205	31	algorithm	algorithm	NOUN
ejpam-4638	205	32	hmgwoga	hmgwoga	NOUN
ejpam-4638	205	33	.	.	PUNCT
ejpam-4638	206	1	the	the	DET
ejpam-4638	206	2	transformation	transformation	NOUN
ejpam-4638	206	3	from	from	ADP
ejpam-4638	206	4	a	a	DET
ejpam-4638	206	5	constrained	constrain	VERB
ejpam-4638	206	6	to	to	ADP
ejpam-4638	206	7	an	an	DET
ejpam-4638	206	8	unconstrained	unconstrained	ADJ
ejpam-4638	206	9	single	single	ADJ
ejpam-4638	206	10	objective	objective	ADJ
ejpam-4638	206	11	optimization	optimization	NOUN
ejpam-4638	206	12	is	be	AUX
ejpam-4638	206	13	achieved	achieve	VERB
ejpam-4638	206	14	by	by	ADP
ejpam-4638	206	15	successive	successive	ADJ
ejpam-4638	206	16	use	use	NOUN
ejpam-4638	206	17	of	of	ADP
ejpam-4638	206	18	the	the	DET
ejpam-4638	206	19	ϵ-constraint	ϵ-constraint	NOUN
ejpam-4638	206	20	approach	approach	NOUN
ejpam-4638	206	21	and	and	CCONJ
ejpam-4638	206	22	the	the	DET
ejpam-4638	206	23	lagrangian	lagrangian	ADJ
ejpam-4638	206	24	penalty	penalty	NOUN
ejpam-4638	206	25	function	function	NOUN
ejpam-4638	206	26	.	.	PUNCT
ejpam-4638	207	1	we	we	PRON
ejpam-4638	207	2	obtain	obtain	VERB
ejpam-4638	207	3	the	the	DET
ejpam-4638	207	4	following	follow	VERB
ejpam-4638	207	5	formulation	formulation	NOUN
ejpam-4638	207	6	:	:	PUNCT
ejpam-4638	207	7			PUNCT
ejpam-4638	207	8	minl(x	minl(x	NUM
ejpam-4638	207	9	)	)	PUNCT
ejpam-4638	207	10	x	x	SYM
ejpam-4638	207	11	∈	∈	NOUN
ejpam-4638	207	12	xϵ	xϵ	X
ejpam-4638	208	1	p	p	X
ejpam-4638	208	2	(	(	PUNCT
ejpam-4638	208	3	7	7	NUM
ejpam-4638	208	4	)	)	PUNCT
ejpam-4638	208	5	w.	w.	PROPN
ejpam-4638	208	6	bamogo	bamogo	PROPN
ejpam-4638	208	7	,	,	PUNCT
ejpam-4638	208	8	j.	j.	PROPN
ejpam-4638	208	9	poda	poda	PROPN
ejpam-4638	208	10	,	,	PUNCT
ejpam-4638	208	11	k.	k.	PROPN
ejpam-4638	208	12	somé	somé	PROPN
ejpam-4638	208	13	/	/	SYM
ejpam-4638	208	14	eur	eur	PROPN
ejpam-4638	208	15	.	.	PUNCT
ejpam-4638	209	1	j.	j.	PROPN
ejpam-4638	209	2	pure	pure	PROPN
ejpam-4638	209	3	appl	appl	PROPN
ejpam-4638	209	4	.	.	PROPN
ejpam-4638	209	5	math	math	PROPN
ejpam-4638	209	6	,	,	PUNCT
ejpam-4638	209	7	16	16	NUM
ejpam-4638	209	8	(	(	PUNCT
ejpam-4638	209	9	1	1	NUM
ejpam-4638	209	10	)	)	PUNCT
ejpam-4638	209	11	(	(	PUNCT
ejpam-4638	209	12	2023	2023	NUM
ejpam-4638	209	13	)	)	PUNCT
ejpam-4638	209	14	,	,	PUNCT
ejpam-4638	209	15	595	595	NUM
ejpam-4638	209	16	-	-	SYM
ejpam-4638	209	17	608	608	NUM
ejpam-4638	209	18	603	603	NUM
ejpam-4638	209	19	where	where	SCONJ
ejpam-4638	209	20	l(x	l(x	PROPN
ejpam-4638	209	21	)	)	PUNCT
ejpam-4638	209	22	=	=	SYM
ejpam-4638	209	23	fp(x	fp(x	X
ejpam-4638	209	24	)	)	PUNCT
ejpam-4638	209	25	+	+	CCONJ
ejpam-4638	209	26	η	η	PROPN
ejpam-4638	209	27	∑	∑	PROPN
ejpam-4638	209	28	(	(	PUNCT
ejpam-4638	209	29	fi(x)−	fi(x)−	PROPN
ejpam-4638	209	30	ϵi	ϵi	X
ejpam-4638	210	1	+	+	CCONJ
ejpam-4638	210	2	|fi(x)−	|fi(x)−	PROPN
ejpam-4638	210	3	ϵi|	ϵi|	PROPN
ejpam-4638	210	4	)	)	PUNCT
ejpam-4638	210	5	,	,	PUNCT
ejpam-4638	210	6	i	i	PRON
ejpam-4638	210	7	̸=	̸=	PROPN
ejpam-4638	210	8	p.	p.	NOUN
ejpam-4638	210	9	these	these	DET
ejpam-4638	210	10	stages	stage	NOUN
ejpam-4638	210	11	are	be	AUX
ejpam-4638	210	12	presented	present	VERB
ejpam-4638	210	13	in	in	ADP
ejpam-4638	210	14	the	the	DET
ejpam-4638	210	15	section	section	NOUN
ejpam-4638	210	16	2.1	2.1	NUM
ejpam-4638	210	17	and	and	CCONJ
ejpam-4638	210	18	section	section	NOUN
ejpam-4638	210	19	2.2	2.2	NUM
ejpam-4638	210	20	.	.	PUNCT
ejpam-4638	211	1	the	the	DET
ejpam-4638	211	2	single	single	ADJ
ejpam-4638	211	3	objective	objective	NOUN
ejpam-4638	211	4	without	without	ADP
ejpam-4638	211	5	constraint	constraint	NOUN
ejpam-4638	211	6	problem	problem	NOUN
ejpam-4638	211	7	is	be	AUX
ejpam-4638	211	8	finally	finally	ADV
ejpam-4638	211	9	solved	solve	VERB
ejpam-4638	211	10	by	by	ADP
ejpam-4638	211	11	the	the	DET
ejpam-4638	211	12	hmgwoga	hmgwoga	NOUN
ejpam-4638	211	13	algorithm	algorithm	NOUN
ejpam-4638	211	14	.	.	PUNCT
ejpam-4638	212	1	the	the	DET
ejpam-4638	212	2	hmgwoga	hmgwoga	NOUN
ejpam-4638	212	3	-	-	PUNCT
ejpam-4638	212	4	mo	mo	PROPN
ejpam-4638	212	5	algorithm	algorithm	NOUN
ejpam-4638	212	6	has	have	VERB
ejpam-4638	212	7	six	six	NUM
ejpam-4638	212	8	main	main	ADJ
ejpam-4638	212	9	stages	stage	NOUN
ejpam-4638	212	10	:	:	PUNCT
ejpam-4638	212	11	aggregation	aggregation	NOUN
ejpam-4638	212	12	,	,	PUNCT
ejpam-4638	212	13	penalization	penalization	NOUN
ejpam-4638	212	14	,	,	PUNCT
ejpam-4638	212	15	and	and	CCONJ
ejpam-4638	212	16	resolution	resolution	NOUN
ejpam-4638	212	17	.	.	PUNCT
ejpam-4638	213	1	3.1.2	3.1.2	X
ejpam-4638	213	2	.	.	PUNCT
ejpam-4638	213	3	algorithm	algorithm	NOUN
ejpam-4638	213	4	1	1	NUM
ejpam-4638	213	5	.	.	PUNCT
ejpam-4638	213	6	applying	apply	VERB
ejpam-4638	213	7	the	the	DET
ejpam-4638	213	8	ϵ-constraint	ϵ-constraint	NOUN
ejpam-4638	213	9	approach	approach	NOUN
ejpam-4638	213	10	.	.	PUNCT
ejpam-4638	214	1	2	2	X
ejpam-4638	214	2	.	.	X
ejpam-4638	214	3	applying	apply	VERB
ejpam-4638	214	4	the	the	DET
ejpam-4638	214	5	lagrangian	lagrangian	ADJ
ejpam-4638	214	6	penalty	penalty	NOUN
ejpam-4638	214	7	function	function	NOUN
ejpam-4638	214	8	.	.	PUNCT
ejpam-4638	215	1	3	3	X
ejpam-4638	215	2	.	.	X
ejpam-4638	215	3	initialize	initialize	NOUN
ejpam-4638	215	4	parameters	parameter	NOUN
ejpam-4638	215	5	n	n	CCONJ
ejpam-4638	215	6	,	,	PUNCT
ejpam-4638	215	7	d	d	X
ejpam-4638	215	8	,	,	PUNCT
ejpam-4638	215	9	lb	lb	NUM
ejpam-4638	215	10	,	,	PUNCT
ejpam-4638	215	11	ub	ub	ADJ
ejpam-4638	215	12	,	,	PUNCT
ejpam-4638	215	13	maxiter	maxiter	NOUN
ejpam-4638	215	14	,	,	PUNCT
ejpam-4638	215	15	pm	pm	NOUN
ejpam-4638	215	16	,	,	PUNCT
ejpam-4638	215	17	sigma	sigma	NOUN
ejpam-4638	215	18	.	.	PUNCT
ejpam-4638	216	1	4	4	X
ejpam-4638	216	2	.	.	X
ejpam-4638	216	3	generate	generate	VERB
ejpam-4638	216	4	the	the	DET
ejpam-4638	216	5	initial	initial	ADJ
ejpam-4638	216	6	n	n	CCONJ
ejpam-4638	216	7	-	-	PUNCT
ejpam-4638	216	8	size	size	NOUN
ejpam-4638	216	9	population	population	NOUN
ejpam-4638	216	10	.	.	PUNCT
ejpam-4638	217	1	5	5	X
ejpam-4638	217	2	.	.	PUNCT
ejpam-4638	217	3	while	while	SCONJ
ejpam-4638	217	4	k	k	PROPN
ejpam-4638	217	5	<	<	X
ejpam-4638	217	6	maxiter	maxiter	PROPN
ejpam-4638	217	7	a.	a.	NOUN
ejpam-4638	217	8	evaluate	evaluate	VERB
ejpam-4638	217	9	the	the	DET
ejpam-4638	217	10	fitness	fitness	NOUN
ejpam-4638	217	11	of	of	ADP
ejpam-4638	217	12	each	each	DET
ejpam-4638	217	13	solution	solution	NOUN
ejpam-4638	217	14	.	.	PUNCT
ejpam-4638	218	1	b.	b.	PROPN
ejpam-4638	218	2	applying	apply	VERB
ejpam-4638	218	3	genetic	genetic	ADJ
ejpam-4638	218	4	operators	operator	NOUN
ejpam-4638	218	5	.	.	PUNCT
ejpam-4638	219	1	c.	c.	NOUN
ejpam-4638	219	2	applying	apply	VERB
ejpam-4638	219	3	elitism	elitism	NOUN
ejpam-4638	219	4	.	.	PUNCT
ejpam-4638	220	1	d.	d.	NOUN
ejpam-4638	220	2	for	for	ADP
ejpam-4638	220	3	i	i	PRON
ejpam-4638	220	4	from	from	ADP
ejpam-4638	220	5	1	1	NUM
ejpam-4638	220	6	to	to	ADP
ejpam-4638	220	7	n	n	PRON
ejpam-4638	220	8	adapt	adapt	VERB
ejpam-4638	220	9	positions	position	NOUN
ejpam-4638	220	10	of	of	ADP
ejpam-4638	220	11	alpha	alpha	NOUN
ejpam-4638	220	12	,	,	PUNCT
ejpam-4638	220	13	beta	beta	NOUN
ejpam-4638	220	14	and	and	CCONJ
ejpam-4638	220	15	delta	delta	NOUN
ejpam-4638	220	16	wolves	wolf	NOUN
ejpam-4638	220	17	.	.	PUNCT
ejpam-4638	221	1	end	end	VERB
ejpam-4638	221	2	for	for	ADP
ejpam-4638	221	3	.	.	PUNCT
ejpam-4638	222	1	e.	e.	PROPN
ejpam-4638	222	2	for	for	ADP
ejpam-4638	222	3	i	i	PRON
ejpam-4638	222	4	from	from	ADP
ejpam-4638	222	5	1	1	NUM
ejpam-4638	222	6	to	to	PART
ejpam-4638	222	7	n	n	PRON
ejpam-4638	222	8	adapt	adapt	VERB
ejpam-4638	222	9	the	the	DET
ejpam-4638	222	10	positions	position	NOUN
ejpam-4638	222	11	of	of	ADP
ejpam-4638	222	12	the	the	DET
ejpam-4638	222	13	solutions	solution	NOUN
ejpam-4638	222	14	,	,	PUNCT
ejpam-4638	222	15	using	use	VERB
ejpam-4638	222	16	equations	equation	NOUN
ejpam-4638	222	17	(	(	PUNCT
ejpam-4638	222	18	3	3	NUM
ejpam-4638	222	19	)	)	PUNCT
ejpam-4638	222	20	and	and	CCONJ
ejpam-4638	222	21	(	(	PUNCT
ejpam-4638	222	22	5	5	NUM
ejpam-4638	222	23	)	)	PUNCT
ejpam-4638	222	24	;	;	PUNCT
ejpam-4638	222	25	adjust	adjust	VERB
ejpam-4638	222	26	the	the	DET
ejpam-4638	222	27	position	position	NOUN
ejpam-4638	222	28	of	of	ADP
ejpam-4638	222	29	the	the	DET
ejpam-4638	222	30	optimum	optimum	ADJ
ejpam-4638	222	31	using	use	VERB
ejpam-4638	222	32	equation	equation	NOUN
ejpam-4638	222	33	(	(	PUNCT
ejpam-4638	222	34	4	4	NUM
ejpam-4638	222	35	)	)	PUNCT
ejpam-4638	222	36	;	;	PUNCT
ejpam-4638	222	37	end	end	VERB
ejpam-4638	222	38	for	for	ADP
ejpam-4638	222	39	.	.	PUNCT
ejpam-4638	222	40	end	end	NOUN
ejpam-4638	222	41	while	while	SCONJ
ejpam-4638	222	42	6	6	NUM
ejpam-4638	222	43	.	.	PUNCT
ejpam-4638	223	1	back	back	ADV
ejpam-4638	223	2	to	to	ADP
ejpam-4638	223	3	the	the	DET
ejpam-4638	223	4	position	position	NOUN
ejpam-4638	223	5	and	and	CCONJ
ejpam-4638	223	6	fitness	fitness	NOUN
ejpam-4638	223	7	of	of	ADP
ejpam-4638	223	8	wolf	wolf	PROPN
ejpam-4638	223	9	α	α	PRON
ejpam-4638	223	10	.	.	PUNCT
ejpam-4638	224	1	with	with	ADP
ejpam-4638	224	2	n	n	CCONJ
ejpam-4638	224	3	the	the	DET
ejpam-4638	224	4	size	size	NOUN
ejpam-4638	224	5	of	of	ADP
ejpam-4638	224	6	the	the	DET
ejpam-4638	224	7	population	population	NOUN
ejpam-4638	224	8	,	,	PUNCT
ejpam-4638	224	9	d	d	X
ejpam-4638	224	10	the	the	DET
ejpam-4638	224	11	number	number	NOUN
ejpam-4638	224	12	of	of	ADP
ejpam-4638	224	13	variables	variable	NOUN
ejpam-4638	224	14	,	,	PUNCT
ejpam-4638	224	15	lb	lb	PUNCT
ejpam-4638	224	16	and	and	CCONJ
ejpam-4638	224	17	ub	ub	INTJ
ejpam-4638	224	18	the	the	DET
ejpam-4638	224	19	lower	low	ADJ
ejpam-4638	224	20	and	and	CCONJ
ejpam-4638	224	21	upper	upper	ADJ
ejpam-4638	224	22	bounds	bound	NOUN
ejpam-4638	224	23	of	of	ADP
ejpam-4638	224	24	the	the	DET
ejpam-4638	224	25	optimum	optimum	ADJ
ejpam-4638	224	26	search	search	NOUN
ejpam-4638	224	27	interval	interval	NOUN
ejpam-4638	224	28	,	,	PUNCT
ejpam-4638	224	29	n	n	CCONJ
ejpam-4638	224	30	the	the	DET
ejpam-4638	224	31	number	number	NOUN
ejpam-4638	224	32	of	of	ADP
ejpam-4638	224	33	initial	initial	ADJ
ejpam-4638	224	34	population	population	NOUN
ejpam-4638	224	35	of	of	ADP
ejpam-4638	224	36	solutions	solution	NOUN
ejpam-4638	224	37	,	,	PUNCT
ejpam-4638	224	38	pm	pm	NOUN
ejpam-4638	224	39	is	be	AUX
ejpam-4638	224	40	the	the	DET
ejpam-4638	224	41	probability	probability	NOUN
ejpam-4638	224	42	of	of	ADP
ejpam-4638	224	43	mutation	mutation	NOUN
ejpam-4638	224	44	,	,	PUNCT
ejpam-4638	224	45	and	and	CCONJ
ejpam-4638	224	46	σ	σ	NOUN
ejpam-4638	224	47	the	the	DET
ejpam-4638	224	48	standard	standard	ADJ
ejpam-4638	224	49	deviation	deviation	NOUN
ejpam-4638	224	50	of	of	ADP
ejpam-4638	224	51	the	the	DET
ejpam-4638	224	52	gauss	gauss	ADJ
ejpam-4638	224	53	law	law	NOUN
ejpam-4638	224	54	used	use	VERB
ejpam-4638	224	55	in	in	ADP
ejpam-4638	224	56	the	the	DET
ejpam-4638	224	57	mutation	mutation	NOUN
ejpam-4638	224	58	.	.	PUNCT
ejpam-4638	225	1	3.2	3.2	NUM
ejpam-4638	225	2	.	.	PUNCT
ejpam-4638	226	1	numerical	numerical	PROPN
ejpam-4638	226	2	results	result	NOUN
ejpam-4638	226	3	3.2.1	3.2.1	NUM
ejpam-4638	226	4	.	.	PUNCT
ejpam-4638	227	1	pareto	pareto	ADJ
ejpam-4638	227	2	front	front	ADJ
ejpam-4638	227	3	representation	representation	NOUN
ejpam-4638	227	4	for	for	ADP
ejpam-4638	227	5	each	each	DET
ejpam-4638	227	6	test	test	NOUN
ejpam-4638	227	7	problem	problem	NOUN
ejpam-4638	227	8	,	,	PUNCT
ejpam-4638	227	9	it	it	PRON
ejpam-4638	227	10	is	be	AUX
ejpam-4638	227	11	necessary	necessary	ADJ
ejpam-4638	227	12	to	to	PART
ejpam-4638	227	13	determine	determine	VERB
ejpam-4638	227	14	the	the	DET
ejpam-4638	227	15	value	value	NOUN
ejpam-4638	227	16	of	of	ADP
ejpam-4638	227	17	ϵ1	ϵ1	NOUN
ejpam-4638	227	18	.	.	PUNCT
ejpam-4638	228	1	in	in	ADP
ejpam-4638	228	2	practice	practice	NOUN
ejpam-4638	228	3	,	,	PUNCT
ejpam-4638	228	4	we	we	PRON
ejpam-4638	228	5	have	have	AUX
ejpam-4638	228	6	chosen	choose	VERB
ejpam-4638	228	7	f2	f2	PROPN
ejpam-4638	228	8	as	as	ADP
ejpam-4638	228	9	the	the	DET
ejpam-4638	228	10	priority	priority	NOUN
ejpam-4638	228	11	objective	objective	ADJ
ejpam-4638	228	12	function	function	NOUN
ejpam-4638	228	13	and	and	CCONJ
ejpam-4638	228	14	computed	compute	VERB
ejpam-4638	228	15	ϵ1	ϵ1	PROPN
ejpam-4638	228	16	∈	∈	PROPN
ejpam-4638	229	1	[	[	X
ejpam-4638	229	2	min	min	NOUN
ejpam-4638	229	3	f1,max	f1,max	NOUN
ejpam-4638	229	4	f1	f1	NOUN
ejpam-4638	229	5	]	]	X
ejpam-4638	229	6	.	.	PUNCT
ejpam-4638	230	1	in	in	ADP
ejpam-4638	230	2	each	each	DET
ejpam-4638	230	3	w.	w.	PROPN
ejpam-4638	230	4	bamogo	bamogo	PROPN
ejpam-4638	230	5	,	,	PUNCT
ejpam-4638	230	6	j.	j.	PROPN
ejpam-4638	230	7	poda	poda	PROPN
ejpam-4638	230	8	,	,	PUNCT
ejpam-4638	230	9	k.	k.	PROPN
ejpam-4638	230	10	somé	somé	PROPN
ejpam-4638	230	11	/	/	SYM
ejpam-4638	230	12	eur	eur	PROPN
ejpam-4638	230	13	.	.	PUNCT
ejpam-4638	231	1	j.	j.	PROPN
ejpam-4638	231	2	pure	pure	PROPN
ejpam-4638	231	3	appl	appl	PROPN
ejpam-4638	231	4	.	.	PROPN
ejpam-4638	231	5	math	math	PROPN
ejpam-4638	231	6	,	,	PUNCT
ejpam-4638	231	7	16	16	NUM
ejpam-4638	231	8	(	(	PUNCT
ejpam-4638	231	9	1	1	NUM
ejpam-4638	231	10	)	)	PUNCT
ejpam-4638	231	11	(	(	PUNCT
ejpam-4638	231	12	2023	2023	NUM
ejpam-4638	231	13	)	)	PUNCT
ejpam-4638	231	14	,	,	PUNCT
ejpam-4638	231	15	595	595	NUM
ejpam-4638	231	16	-	-	SYM
ejpam-4638	231	17	608	608	NUM
ejpam-4638	231	18	604	604	NUM
ejpam-4638	231	19	figure	figure	NOUN
ejpam-4638	231	20	,	,	PUNCT
ejpam-4638	231	21	we	we	PRON
ejpam-4638	231	22	have	have	VERB
ejpam-4638	231	23	the	the	DET
ejpam-4638	231	24	obtained	obtain	VERB
ejpam-4638	231	25	solutions	solution	NOUN
ejpam-4638	231	26	with	with	ADP
ejpam-4638	231	27	our	our	PRON
ejpam-4638	231	28	method	method	NOUN
ejpam-4638	231	29	hmgwoga	hmgwoga	NOUN
ejpam-4638	231	30	-	-	PUNCT
ejpam-4638	231	31	mo	mo	PROPN
ejpam-4638	231	32	,	,	PUNCT
ejpam-4638	231	33	those	those	PRON
ejpam-4638	231	34	of	of	ADP
ejpam-4638	231	35	nsgaii	nsgaii	NOUN
ejpam-4638	231	36	,	,	PUNCT
ejpam-4638	231	37	and	and	CCONJ
ejpam-4638	231	38	the	the	DET
ejpam-4638	231	39	true	true	ADJ
ejpam-4638	231	40	pareto	pareto	ADJ
ejpam-4638	231	41	front	front	NOUN
ejpam-4638	231	42	.	.	PUNCT
ejpam-4638	232	1	table	table	NOUN
ejpam-4638	232	2	1	1	NUM
ejpam-4638	232	3	:	:	PUNCT
ejpam-4638	232	4	graphical	graphical	ADJ
ejpam-4638	232	5	results	result	NOUN
ejpam-4638	232	6	of	of	ADP
ejpam-4638	232	7	test	test	NOUN
ejpam-4638	232	8	problems	problem	NOUN
ejpam-4638	232	9	figure	figure	VERB
ejpam-4638	232	10	2	2	NUM
ejpam-4638	232	11	:	:	PUNCT
ejpam-4638	232	12	pareto	pareto	ADJ
ejpam-4638	232	13	front	front	NOUN
ejpam-4638	232	14	of	of	ADP
ejpam-4638	232	15	pl1	pl1	PROPN
ejpam-4638	232	16	(	(	PUNCT
ejpam-4638	232	17	convex	convex	PROPN
ejpam-4638	232	18	)	)	PUNCT
ejpam-4638	232	19	figure	figure	NOUN
ejpam-4638	232	20	3	3	NUM
ejpam-4638	232	21	:	:	PUNCT
ejpam-4638	232	22	pareto	pareto	ADJ
ejpam-4638	232	23	front	front	NOUN
ejpam-4638	232	24	of	of	ADP
ejpam-4638	232	25	pl2	pl2	PROPN
ejpam-4638	232	26	(	(	PUNCT
ejpam-4638	232	27	convex	convex	PROPN
ejpam-4638	232	28	)	)	PUNCT
ejpam-4638	232	29	figure	figure	NOUN
ejpam-4638	232	30	4	4	NUM
ejpam-4638	232	31	:	:	PUNCT
ejpam-4638	232	32	pareto	pareto	ADJ
ejpam-4638	232	33	front	front	NOUN
ejpam-4638	232	34	of	of	ADP
ejpam-4638	232	35	pl3	pl3	NOUN
ejpam-4638	232	36	(	(	PUNCT
ejpam-4638	232	37	convex	convex	NOUN
ejpam-4638	232	38	)	)	PUNCT
ejpam-4638	232	39	figure	figure	NOUN
ejpam-4638	232	40	5	5	NUM
ejpam-4638	232	41	:	:	PUNCT
ejpam-4638	232	42	pareto	pareto	ADJ
ejpam-4638	232	43	front	front	NOUN
ejpam-4638	232	44	of	of	ADP
ejpam-4638	232	45	pl4	pl4	PROPN
ejpam-4638	232	46	(	(	PUNCT
ejpam-4638	232	47	concave	concave	PROPN
ejpam-4638	232	48	)	)	PUNCT
ejpam-4638	232	49	figure	figure	NOUN
ejpam-4638	232	50	6	6	NUM
ejpam-4638	232	51	:	:	PUNCT
ejpam-4638	232	52	pareto	pareto	ADJ
ejpam-4638	232	53	front	front	NOUN
ejpam-4638	232	54	of	of	ADP
ejpam-4638	232	55	pl5	pl5	NOUN
ejpam-4638	232	56	(	(	PUNCT
ejpam-4638	232	57	discontinuous	discontinuous	ADJ
ejpam-4638	232	58	)	)	PUNCT
ejpam-4638	232	59	w.	w.	PROPN
ejpam-4638	232	60	bamogo	bamogo	PROPN
ejpam-4638	232	61	,	,	PUNCT
ejpam-4638	232	62	j.	j.	PROPN
ejpam-4638	232	63	poda	poda	PROPN
ejpam-4638	232	64	,	,	PUNCT
ejpam-4638	232	65	k.	k.	PROPN
ejpam-4638	232	66	somé	somé	PROPN
ejpam-4638	233	1	/	/	SYM
ejpam-4638	233	2	eur	eur	PROPN
ejpam-4638	233	3	.	.	PUNCT
ejpam-4638	234	1	j.	j.	PROPN
ejpam-4638	234	2	pure	pure	PROPN
ejpam-4638	234	3	appl	appl	PROPN
ejpam-4638	234	4	.	.	PROPN
ejpam-4638	234	5	math	math	PROPN
ejpam-4638	234	6	,	,	PUNCT
ejpam-4638	234	7	16	16	NUM
ejpam-4638	234	8	(	(	PUNCT
ejpam-4638	234	9	1	1	NUM
ejpam-4638	234	10	)	)	PUNCT
ejpam-4638	234	11	(	(	PUNCT
ejpam-4638	234	12	2023	2023	NUM
ejpam-4638	234	13	)	)	PUNCT
ejpam-4638	234	14	,	,	PUNCT
ejpam-4638	234	15	595	595	NUM
ejpam-4638	234	16	-	-	SYM
ejpam-4638	234	17	608	608	NUM
ejpam-4638	234	18	605	605	NUM
ejpam-4638	234	19	according	accord	VERB
ejpam-4638	234	20	to	to	ADP
ejpam-4638	234	21	the	the	DET
ejpam-4638	234	22	figures	figure	NOUN
ejpam-4638	234	23	in	in	ADP
ejpam-4638	234	24	the	the	DET
ejpam-4638	234	25	table	table	NOUN
ejpam-4638	234	26	1	1	NUM
ejpam-4638	234	27	,	,	PUNCT
ejpam-4638	234	28	all	all	PRON
ejpam-4638	234	29	of	of	ADP
ejpam-4638	234	30	the	the	DET
ejpam-4638	234	31	solutions	solution	NOUN
ejpam-4638	234	32	obtained	obtain	VERB
ejpam-4638	234	33	by	by	ADP
ejpam-4638	234	34	hmgwogamo	hmgwogamo	NOUN
ejpam-4638	234	35	are	be	AUX
ejpam-4638	234	36	on	on	ADP
ejpam-4638	234	37	the	the	DET
ejpam-4638	234	38	the	the	DET
ejpam-4638	234	39	analytic	analytic	ADJ
ejpam-4638	234	40	pareto	pareto	ADJ
ejpam-4638	234	41	front	front	NOUN
ejpam-4638	234	42	.	.	PUNCT
ejpam-4638	235	1	3.2.2	3.2.2	NUM
ejpam-4638	235	2	.	.	PUNCT
ejpam-4638	235	3	performance	performance	NOUN
ejpam-4638	235	4	index	index	NOUN
ejpam-4638	235	5	the	the	DET
ejpam-4638	235	6	following	follow	VERB
ejpam-4638	235	7	table	table	NOUN
ejpam-4638	235	8	shows	show	VERB
ejpam-4638	235	9	the	the	DET
ejpam-4638	235	10	value	value	NOUN
ejpam-4638	235	11	of	of	ADP
ejpam-4638	235	12	convergence	convergence	NOUN
ejpam-4638	235	13	for	for	ADP
ejpam-4638	235	14	hmgwoga	hmgwoga	NOUN
ejpam-4638	235	15	-	-	PUNCT
ejpam-4638	235	16	mo	mo	PROPN
ejpam-4638	235	17	and	and	CCONJ
ejpam-4638	235	18	nsga	nsga	NOUN
ejpam-4638	235	19	-	-	PUNCT
ejpam-4638	235	20	ii	ii	NOUN
ejpam-4638	235	21	on	on	ADP
ejpam-4638	235	22	the	the	DET
ejpam-4638	235	23	five	five	NUM
ejpam-4638	235	24	test	test	NOUN
ejpam-4638	235	25	problems	problem	NOUN
ejpam-4638	235	26	.	.	PUNCT
ejpam-4638	236	1	table	table	NOUN
ejpam-4638	236	2	2	2	NUM
ejpam-4638	236	3	:	:	PUNCT
ejpam-4638	236	4	generational	generational	ADJ
ejpam-4638	236	5	distance	distance	NOUN
ejpam-4638	236	6	γ	γ	PROPN
ejpam-4638	236	7	pl1	pl1	PROPN
ejpam-4638	236	8	pl2	pl2	PROPN
ejpam-4638	236	9	pl3	pl3	AUX
ejpam-4638	236	10	pl4	pl4	VERB
ejpam-4638	236	11	pl5	pl5	VERB
ejpam-4638	236	12	nsga	nsga	NOUN
ejpam-4638	236	13	-	-	PUNCT
ejpam-4638	236	14	ii	ii	NOUN
ejpam-4638	236	15	γ	γ	PROPN
ejpam-4638	236	16	1.1385e-3	1.1385e-3	NUM
ejpam-4638	236	17	8.865e-4	8.865e-4	NUM
ejpam-4638	236	18	3.3482e-2	3.3482e-2	NUM
ejpam-4638	236	19	7.2391e-2	7.2391e-2	NUM
ejpam-4638	236	20	1.1450e-1	1.1450e-1	PROPN
ejpam-4638	236	21	σ2	σ2	PROPN
ejpam-4638	236	22	γ	γ	PROPN
ejpam-4638	236	23	4.4800e-7	4.4800e-7	NUM
ejpam-4638	236	24	3.8300e-8	3.8300e-8	NUM
ejpam-4638	236	25	4.7500e-3	4.7500e-3	NUM
ejpam-4638	236	26	3.1689e-2	3.1689e-2	NUM
ejpam-4638	236	27	7.9400e-3	7.9400e-3	NUM
ejpam-4638	236	28	hmgwoga	hmgwoga	NOUN
ejpam-4638	236	29	-	-	PUNCT
ejpam-4638	236	30	mo	mo	NOUN
ejpam-4638	236	31	γ	γ	X
ejpam-4638	236	32	8.0946e-5	8.0946e-5	NUM
ejpam-4638	236	33	4.5495e-5	4.5495e-5	NUM
ejpam-4638	236	34	8.4609e-5	8.4609e-5	NUM
ejpam-4638	236	35	8.2169e-5	8.2169e-5	NUM
ejpam-4638	236	36	0.1313e-5	0.1313e-5	NOUN
ejpam-4638	236	37	σ2	σ2	PROPN
ejpam-4638	236	38	γ	γ	PROPN
ejpam-4638	236	39	5.4916e-14	5.4916e-14	PROPN
ejpam-4638	236	40	6.0050e-12	6.0050e-12	NUM
ejpam-4638	236	41	6.1712e-13	6.1712e-13	NUM
ejpam-4638	236	42	6.5544e-13	6.5544e-13	NUM
ejpam-4638	236	43	5.1550e-11	5.1550e-11	NUM
ejpam-4638	236	44	the	the	DET
ejpam-4638	236	45	following	follow	VERB
ejpam-4638	236	46	table	table	NOUN
ejpam-4638	236	47	shows	show	VERB
ejpam-4638	236	48	the	the	DET
ejpam-4638	236	49	values	value	NOUN
ejpam-4638	236	50	of	of	ADP
ejpam-4638	236	51	the	the	DET
ejpam-4638	236	52	distribution	distribution	NOUN
ejpam-4638	236	53	of	of	ADP
ejpam-4638	236	54	hmgwoga	hmgwoga	NOUN
ejpam-4638	236	55	-	-	PUNCT
ejpam-4638	236	56	mo	mo	PROPN
ejpam-4638	236	57	and	and	CCONJ
ejpam-4638	236	58	nsga	nsga	NOUN
ejpam-4638	236	59	-	-	PUNCT
ejpam-4638	236	60	ii	ii	NOUN
ejpam-4638	236	61	on	on	ADP
ejpam-4638	236	62	the	the	DET
ejpam-4638	236	63	five	five	NUM
ejpam-4638	236	64	test	test	NOUN
ejpam-4638	236	65	problems	problem	NOUN
ejpam-4638	236	66	.	.	PUNCT
ejpam-4638	237	1	table	table	NOUN
ejpam-4638	237	2	3	3	NUM
ejpam-4638	237	3	:	:	PUNCT
ejpam-4638	237	4	spread	spread	VERB
ejpam-4638	237	5	∆	∆	PROPN
ejpam-4638	237	6	pl1	pl1	PROPN
ejpam-4638	237	7	pl2	pl2	PROPN
ejpam-4638	237	8	pl3	pl3	AUX
ejpam-4638	237	9	pl4	pl4	VERB
ejpam-4638	237	10	pl5	pl5	VERB
ejpam-4638	237	11	nsga	nsga	NOUN
ejpam-4638	237	12	-	-	PUNCT
ejpam-4638	237	13	ii	ii	NOUN
ejpam-4638	237	14	∆	∆	PROPN
ejpam-4638	237	15	0.4235	0.4235	NUM
ejpam-4638	237	16	0.6788	0.6788	NUM
ejpam-4638	237	17	0.3903	0.3903	NUM
ejpam-4638	237	18	0.4307	0.4307	NUM
ejpam-4638	237	19	0.7385	0.7385	NUM
ejpam-4638	237	20	σ2	σ2	NOUN
ejpam-4638	237	21	∆	∆	PROPN
ejpam-4638	237	22	0.0011	0.0011	NUM
ejpam-4638	237	23	0.0060	0.0060	NUM
ejpam-4638	237	24	0.0018	0.0018	NUM
ejpam-4638	237	25	0.0047	0.0047	NUM
ejpam-4638	237	26	0.0197	0.0197	NUM
ejpam-4638	237	27	hmgwoga	hmgwoga	NOUN
ejpam-4638	237	28	-	-	PUNCT
ejpam-4638	237	29	mo	mo	NOUN
ejpam-4638	237	30	∆	∆	PROPN
ejpam-4638	237	31	1.6758	1.6758	NUM
ejpam-4638	237	32	0.9447	0.9447	NUM
ejpam-4638	237	33	0.2823	0.2823	NUM
ejpam-4638	237	34	0.3125	0.3125	NUM
ejpam-4638	237	35	1.1032	1.1032	NUM
ejpam-4638	237	36	σ2	σ2	NOUN
ejpam-4638	237	37	∆(e−	∆(e−	ADP
ejpam-4638	237	38	5	5	NUM
ejpam-4638	237	39	)	)	PUNCT
ejpam-4638	237	40	9.4360	9.4360	NUM
ejpam-4638	237	41	5.8090	5.8090	NUM
ejpam-4638	237	42	0.6710	0.6710	NUM
ejpam-4638	237	43	4.3750	4.3750	NUM
ejpam-4638	237	44	7.5360	7.5360	NUM
ejpam-4638	237	45	3.3	3.3	NUM
ejpam-4638	237	46	.	.	PUNCT
ejpam-4638	238	1	discussions	discussion	NOUN
ejpam-4638	238	2	table	table	NOUN
ejpam-4638	238	3	2	2	NUM
ejpam-4638	238	4	shows	show	VERB
ejpam-4638	238	5	the	the	DET
ejpam-4638	238	6	mean	mean	NOUN
ejpam-4638	238	7	and	and	CCONJ
ejpam-4638	238	8	variance	variance	NOUN
ejpam-4638	238	9	of	of	ADP
ejpam-4638	238	10	the	the	DET
ejpam-4638	238	11	convergence	convergence	NOUN
ejpam-4638	238	12	metric	metric	ADJ
ejpam-4638	238	13	.	.	PUNCT
ejpam-4638	239	1	it	it	PRON
ejpam-4638	239	2	is	be	AUX
ejpam-4638	239	3	evident	evident	ADJ
ejpam-4638	239	4	from	from	ADP
ejpam-4638	239	5	the	the	DET
ejpam-4638	239	6	results	result	NOUN
ejpam-4638	239	7	that	that	PRON
ejpam-4638	239	8	the	the	DET
ejpam-4638	239	9	values	value	NOUN
ejpam-4638	239	10	obtained	obtain	VERB
ejpam-4638	239	11	with	with	ADP
ejpam-4638	239	12	two	two	NUM
ejpam-4638	239	13	methods	method	NOUN
ejpam-4638	239	14	on	on	ADP
ejpam-4638	239	15	the	the	DET
ejpam-4638	239	16	five	five	NUM
ejpam-4638	239	17	test	test	NOUN
ejpam-4638	239	18	problems	problem	NOUN
ejpam-4638	239	19	are	be	AUX
ejpam-4638	239	20	very	very	ADV
ejpam-4638	239	21	close	close	ADJ
ejpam-4638	239	22	to	to	ADP
ejpam-4638	239	23	zero	zero	NUM
ejpam-4638	239	24	.	.	PUNCT
ejpam-4638	240	1	however	however	ADV
ejpam-4638	240	2	,	,	PUNCT
ejpam-4638	240	3	hmgwoga	hmgwoga	NOUN
ejpam-4638	240	4	-	-	PUNCT
ejpam-4638	240	5	mo	mo	PROPN
ejpam-4638	240	6	gives	give	VERB
ejpam-4638	240	7	the	the	DET
ejpam-4638	240	8	best	good	ADJ
ejpam-4638	240	9	values	value	NOUN
ejpam-4638	240	10	on	on	ADP
ejpam-4638	240	11	all	all	DET
ejpam-4638	240	12	five	five	NUM
ejpam-4638	240	13	problem	problem	NOUN
ejpam-4638	240	14	tests	test	NOUN
ejpam-4638	240	15	.	.	PUNCT
ejpam-4638	241	1	that	that	PRON
ejpam-4638	241	2	proves	prove	VERB
ejpam-4638	241	3	a	a	DET
ejpam-4638	241	4	good	good	ADJ
ejpam-4638	241	5	convergence	convergence	NOUN
ejpam-4638	241	6	of	of	ADP
ejpam-4638	241	7	the	the	DET
ejpam-4638	241	8	hmgwoga	hmgwoga	NOUN
ejpam-4638	241	9	-	-	PUNCT
ejpam-4638	241	10	mo	mo	PROPN
ejpam-4638	241	11	method	method	NOUN
ejpam-4638	241	12	compared	compare	VERB
ejpam-4638	241	13	to	to	ADP
ejpam-4638	241	14	the	the	DET
ejpam-4638	241	15	nsga	nsga	NOUN
ejpam-4638	241	16	-	-	PUNCT
ejpam-4638	241	17	ii	ii	PROPN
ejpam-4638	241	18	method	method	NOUN
ejpam-4638	241	19	on	on	ADP
ejpam-4638	241	20	these	these	DET
ejpam-4638	241	21	test	test	NOUN
ejpam-4638	241	22	problems	problem	NOUN
ejpam-4638	241	23	.	.	PUNCT
ejpam-4638	242	1	table	table	NOUN
ejpam-4638	242	2	3	3	NUM
ejpam-4638	242	3	presents	present	VERB
ejpam-4638	242	4	the	the	DET
ejpam-4638	242	5	mean	mean	NOUN
ejpam-4638	242	6	and	and	CCONJ
ejpam-4638	242	7	variance	variance	NOUN
ejpam-4638	242	8	of	of	ADP
ejpam-4638	242	9	the	the	DET
ejpam-4638	242	10	diversity	diversity	NOUN
ejpam-4638	242	11	metric	metric	ADJ
ejpam-4638	242	12	.	.	PUNCT
ejpam-4638	243	1	the	the	DET
ejpam-4638	243	2	values	value	NOUN
ejpam-4638	243	3	obtained	obtain	VERB
ejpam-4638	243	4	with	with	ADP
ejpam-4638	243	5	two	two	NUM
ejpam-4638	243	6	methods	method	NOUN
ejpam-4638	243	7	are	be	AUX
ejpam-4638	243	8	close	close	ADJ
ejpam-4638	243	9	to	to	ADP
ejpam-4638	243	10	zero	zero	NUM
ejpam-4638	243	11	.	.	PUNCT
ejpam-4638	244	1	we	we	PRON
ejpam-4638	244	2	found	find	VERB
ejpam-4638	244	3	that	that	SCONJ
ejpam-4638	244	4	hmgwoga	hmgwoga	NOUN
ejpam-4638	244	5	-	-	PUNCT
ejpam-4638	244	6	mo	mo	PROPN
ejpam-4638	244	7	is	be	AUX
ejpam-4638	244	8	better	well	ADJ
ejpam-4638	244	9	than	than	SCONJ
ejpam-4638	244	10	nsgaii	nsgaii	NOUN
ejpam-4638	244	11	on	on	ADP
ejpam-4638	244	12	problems	problem	NOUN
ejpam-4638	244	13	pl3	pl3	ADJ
ejpam-4638	244	14	and	and	CCONJ
ejpam-4638	244	15	pl4	pl4	VERB
ejpam-4638	244	16	,	,	PUNCT
ejpam-4638	244	17	and	and	CCONJ
ejpam-4638	244	18	that	that	SCONJ
ejpam-4638	244	19	nsga	nsga	PROPN
ejpam-4638	244	20	-	-	PUNCT
ejpam-4638	244	21	ii	ii	PROPN
ejpam-4638	244	22	is	be	AUX
ejpam-4638	244	23	better	well	ADJ
ejpam-4638	244	24	on	on	ADP
ejpam-4638	244	25	the	the	DET
ejpam-4638	244	26	others	other	NOUN
ejpam-4638	244	27	.	.	PUNCT
ejpam-4638	245	1	therefore	therefore	ADV
ejpam-4638	245	2	,	,	PUNCT
ejpam-4638	245	3	none	none	NOUN
ejpam-4638	245	4	references	reference	VERB
ejpam-4638	245	5	606	606	NUM
ejpam-4638	245	6	of	of	ADP
ejpam-4638	245	7	the	the	DET
ejpam-4638	245	8	method	method	NOUN
ejpam-4638	245	9	dominates	dominate	VERB
ejpam-4638	245	10	the	the	DET
ejpam-4638	245	11	other	other	ADJ
ejpam-4638	245	12	in	in	ADP
ejpam-4638	245	13	terms	term	NOUN
ejpam-4638	245	14	of	of	ADP
ejpam-4638	245	15	the	the	DET
ejpam-4638	245	16	distribution	distribution	NOUN
ejpam-4638	245	17	of	of	ADP
ejpam-4638	245	18	obtained	obtain	VERB
ejpam-4638	245	19	solutions	solution	NOUN
ejpam-4638	245	20	.	.	PUNCT
ejpam-4638	246	1	we	we	PRON
ejpam-4638	246	2	can	can	AUX
ejpam-4638	246	3	conclude	conclude	VERB
ejpam-4638	246	4	that	that	PRON
ejpam-4638	246	5	hmgwoga	hmgwoga	NOUN
ejpam-4638	246	6	-	-	PUNCT
ejpam-4638	246	7	mo	mo	PROPN
ejpam-4638	246	8	is	be	AUX
ejpam-4638	246	9	the	the	DET
ejpam-4638	246	10	best	good	ADJ
ejpam-4638	246	11	choice	choice	NOUN
ejpam-4638	246	12	for	for	ADP
ejpam-4638	246	13	solving	solve	VERB
ejpam-4638	246	14	multiobjective	multiobjective	ADJ
ejpam-4638	246	15	optimization	optimization	NOUN
ejpam-4638	246	16	problems	problem	NOUN
ejpam-4638	246	17	when	when	SCONJ
ejpam-4638	246	18	the	the	DET
ejpam-4638	246	19	convergence	convergence	NOUN
ejpam-4638	246	20	criterion	criterion	NOUN
ejpam-4638	246	21	is	be	AUX
ejpam-4638	246	22	priority	priority	NOUN
ejpam-4638	246	23	.	.	PUNCT
ejpam-4638	247	1	4	4	X
ejpam-4638	247	2	.	.	X
ejpam-4638	247	3	conclusion	conclusion	NOUN
ejpam-4638	247	4	in	in	ADP
ejpam-4638	247	5	this	this	DET
ejpam-4638	247	6	work	work	NOUN
ejpam-4638	247	7	,	,	PUNCT
ejpam-4638	247	8	we	we	PRON
ejpam-4638	247	9	introduced	introduce	VERB
ejpam-4638	247	10	a	a	DET
ejpam-4638	247	11	new	new	ADJ
ejpam-4638	247	12	metaheuristic	metaheuristic	NOUN
ejpam-4638	247	13	for	for	ADP
ejpam-4638	247	14	solving	solve	VERB
ejpam-4638	247	15	multiobjective	multiobjective	ADJ
ejpam-4638	247	16	optimization	optimization	NOUN
ejpam-4638	247	17	problems	problem	NOUN
ejpam-4638	247	18	.	.	PUNCT
ejpam-4638	248	1	named	name	VERB
ejpam-4638	248	2	hmgwoga	hmgwoga	NOUN
ejpam-4638	248	3	-	-	PUNCT
ejpam-4638	248	4	mo	mo	PROPN
ejpam-4638	248	5	,	,	PUNCT
ejpam-4638	248	6	it	it	PRON
ejpam-4638	248	7	is	be	AUX
ejpam-4638	248	8	a	a	DET
ejpam-4638	248	9	combination	combination	NOUN
ejpam-4638	248	10	of	of	ADP
ejpam-4638	248	11	an	an	DET
ejpam-4638	248	12	algorithm	algorithm	NOUN
ejpam-4638	248	13	from	from	ADP
ejpam-4638	248	14	grey	grey	ADJ
ejpam-4638	248	15	wolves	wolf	NOUN
ejpam-4638	248	16	optimizer	optimizer	NOUN
ejpam-4638	248	17	and	and	CCONJ
ejpam-4638	248	18	the	the	DET
ejpam-4638	248	19	ϵ-constraint	ϵ-constraint	NOUN
ejpam-4638	248	20	approach	approach	NOUN
ejpam-4638	248	21	.	.	PUNCT
ejpam-4638	249	1	the	the	DET
ejpam-4638	249	2	optimality	optimality	NOUN
ejpam-4638	249	3	condition	condition	NOUN
ejpam-4638	249	4	of	of	ADP
ejpam-4638	249	5	the	the	DET
ejpam-4638	249	6	obtained	obtain	VERB
ejpam-4638	249	7	solutions	solution	NOUN
ejpam-4638	249	8	is	be	AUX
ejpam-4638	249	9	proven	prove	VERB
ejpam-4638	249	10	through	through	ADP
ejpam-4638	249	11	a	a	DET
ejpam-4638	249	12	theorem	theorem	NOUN
ejpam-4638	249	13	.	.	PUNCT
ejpam-4638	250	1	in	in	ADP
ejpam-4638	250	2	addition	addition	NOUN
ejpam-4638	250	3	,	,	PUNCT
ejpam-4638	250	4	the	the	DET
ejpam-4638	250	5	good	good	ADJ
ejpam-4638	250	6	convergence	convergence	NOUN
ejpam-4638	250	7	and	and	CCONJ
ejpam-4638	250	8	distribution	distribution	NOUN
ejpam-4638	250	9	of	of	ADP
ejpam-4638	250	10	obtained	obtain	VERB
ejpam-4638	250	11	are	be	AUX
ejpam-4638	250	12	proved	prove	VERB
ejpam-4638	250	13	by	by	ADP
ejpam-4638	250	14	the	the	DET
ejpam-4638	250	15	computing	computing	NOUN
ejpam-4638	250	16	of	of	ADP
ejpam-4638	250	17	two	two	NUM
ejpam-4638	250	18	parameters	parameter	NOUN
ejpam-4638	250	19	relative	relative	ADJ
ejpam-4638	250	20	to	to	ADP
ejpam-4638	250	21	these	these	DET
ejpam-4638	250	22	performance	performance	NOUN
ejpam-4638	250	23	notions	notion	NOUN
ejpam-4638	250	24	.	.	PUNCT
ejpam-4638	251	1	through	through	ADP
ejpam-4638	251	2	the	the	DET
ejpam-4638	251	3	five	five	NUM
ejpam-4638	251	4	test	test	NOUN
ejpam-4638	251	5	problems	problem	NOUN
ejpam-4638	251	6	,	,	PUNCT
ejpam-4638	251	7	we	we	PRON
ejpam-4638	251	8	found	find	VERB
ejpam-4638	251	9	that	that	SCONJ
ejpam-4638	251	10	our	our	PRON
ejpam-4638	251	11	method	method	NOUN
ejpam-4638	251	12	is	be	AUX
ejpam-4638	251	13	better	well	ADJ
ejpam-4638	251	14	than	than	ADP
ejpam-4638	251	15	nsga	nsga	NOUN
ejpam-4638	251	16	-	-	PUNCT
ejpam-4638	251	17	ii	ii	NOUN
ejpam-4638	251	18	in	in	ADP
ejpam-4638	251	19	terms	term	NOUN
ejpam-4638	251	20	of	of	ADP
ejpam-4638	251	21	convergence	convergence	NOUN
ejpam-4638	251	22	.	.	PUNCT
ejpam-4638	252	1	references	reference	NOUN
ejpam-4638	252	2	[	[	X
ejpam-4638	252	3	1	1	NUM
ejpam-4638	252	4	]	]	PUNCT
ejpam-4638	252	5	sofora	sofora	PROPN
ejpam-4638	252	6	akhavan	akhavan	PROPN
ejpam-4638	252	7	-	-	PUNCT
ejpam-4638	252	8	nasab	nasab	ADJ
ejpam-4638	252	9	and	and	CCONJ
ejpam-4638	252	10	zahra	zahra	PROPN
ejpam-4638	252	11	beheshti	beheshti	PROPN
ejpam-4638	252	12	.	.	PUNCT
ejpam-4638	253	1	a	a	DET
ejpam-4638	253	2	condition	condition	NOUN
ejpam-4638	253	3	-	-	PUNCT
ejpam-4638	253	4	based	base	VERB
ejpam-4638	253	5	grey	grey	PROPN
ejpam-4638	253	6	wolf	wolf	PROPN
ejpam-4638	253	7	optimizer	optimizer	NOUN
ejpam-4638	253	8	algorithm	algorithm	NOUN
ejpam-4638	253	9	for	for	ADP
ejpam-4638	253	10	global	global	ADJ
ejpam-4638	253	11	optimization	optimization	NOUN
ejpam-4638	253	12	problems	problem	NOUN
ejpam-4638	253	13	.	.	PUNCT
ejpam-4638	254	1	journal	journal	NOUN
ejpam-4638	254	2	of	of	ADP
ejpam-4638	254	3	soft	soft	ADJ
ejpam-4638	254	4	computing	computing	NOUN
ejpam-4638	254	5	and	and	CCONJ
ejpam-4638	254	6	information	information	NOUN
ejpam-4638	254	7	technology	technology	NOUN
ejpam-4638	254	8	(	(	PUNCT
ejpam-4638	254	9	jscit	jscit	PROPN
ejpam-4638	254	10	)	)	PUNCT
ejpam-4638	254	11	,	,	PUNCT
ejpam-4638	254	12	11:26–40	11:26–40	NUM
ejpam-4638	254	13	,	,	PUNCT
ejpam-4638	254	14	2022	2022	NUM
ejpam-4638	254	15	.	.	PUNCT
ejpam-4638	255	1	[	[	X
ejpam-4638	255	2	2	2	X
ejpam-4638	255	3	]	]	PUNCT
ejpam-4638	255	4	yann	yann	PROPN
ejpam-4638	255	5	collette	collette	PROPN
ejpam-4638	255	6	and	and	CCONJ
ejpam-4638	255	7	patrick	patrick	PROPN
ejpam-4638	255	8	siarry	siarry	PROPN
ejpam-4638	255	9	.	.	PUNCT
ejpam-4638	256	1	optimisation	optimisation	NOUN
ejpam-4638	256	2	multiobjectif	multiobjectif	NOUN
ejpam-4638	256	3	.	.	PUNCT
ejpam-4638	257	1	édition	édition	PROPN
ejpam-4638	257	2	éryrolles	éryrolles	PROPN
ejpam-4638	257	3	,	,	PUNCT
ejpam-4638	257	4	61	61	NUM
ejpam-4638	257	5	bld	bld	NUM
ejpam-4638	257	6	saint	saint	NOUN
ejpam-4638	257	7	-	-	PUNCT
ejpam-4638	257	8	germain	germain	PROPN
ejpam-4638	257	9	,	,	PUNCT
ejpam-4638	257	10	75240	75240	NUM
ejpam-4638	257	11	paris	paris	PROPN
ejpam-4638	257	12	cedex	cedex	PROPN
ejpam-4638	257	13	05	05	NUM
ejpam-4638	257	14	,	,	PUNCT
ejpam-4638	257	15	2002	2002	NUM
ejpam-4638	257	16	.	.	PUNCT
ejpam-4638	258	1	[	[	X
ejpam-4638	258	2	3	3	X
ejpam-4638	258	3	]	]	X
ejpam-4638	258	4	kalyanmoy	kalyanmoy	PROPN
ejpam-4638	258	5	deb	deb	PROPN
ejpam-4638	258	6	,	,	PUNCT
ejpam-4638	258	7	amrit	amrit	PROPN
ejpam-4638	258	8	pratap	pratap	PROPN
ejpam-4638	258	9	,	,	PUNCT
ejpam-4638	258	10	sameer	sameer	PROPN
ejpam-4638	258	11	agarwal	agarwal	PROPN
ejpam-4638	258	12	,	,	PUNCT
ejpam-4638	258	13	,	,	PUNCT
ejpam-4638	258	14	and	and	CCONJ
ejpam-4638	258	15	t.	t.	PROPN
ejpam-4638	258	16	meyarivan	meyarivan	PROPN
ejpam-4638	258	17	.	.	PUNCT
ejpam-4638	259	1	a	a	DET
ejpam-4638	259	2	fast	fast	ADJ
ejpam-4638	259	3	and	and	CCONJ
ejpam-4638	259	4	elitist	elitist	ADJ
ejpam-4638	259	5	multiobjective	multiobjective	ADJ
ejpam-4638	259	6	genetic	genetic	ADJ
ejpam-4638	259	7	algorithm	algorithm	NOUN
ejpam-4638	259	8	:	:	PUNCT
ejpam-4638	259	9	nsga	nsga	PROPN
ejpam-4638	259	10	-	-	PUNCT
ejpam-4638	259	11	ii	ii	PROPN
ejpam-4638	259	12	.	.	PUNCT
ejpam-4638	260	1	ieee	ieee	NOUN
ejpam-4638	260	2	transactions	transaction	NOUN
ejpam-4638	260	3	on	on	ADP
ejpam-4638	260	4	evolutionary	evolutionary	ADJ
ejpam-4638	260	5	computation	computation	NOUN
ejpam-4638	260	6	,	,	PUNCT
ejpam-4638	260	7	6:182–197	6:182–197	ADP
ejpam-4638	260	8	,	,	PUNCT
ejpam-4638	260	9	2002	2002	NUM
ejpam-4638	260	10	.	.	PUNCT
ejpam-4638	261	1	[	[	X
ejpam-4638	261	2	4	4	NUM
ejpam-4638	261	3	]	]	X
ejpam-4638	261	4	kalynmoy	kalynmoy	NOUN
ejpam-4638	261	5	deb	deb	PROPN
ejpam-4638	261	6	.	.	PUNCT
ejpam-4638	262	1	multi	multi	ADJ
ejpam-4638	262	2	-	-	ADJ
ejpam-4638	262	3	objective	objective	ADJ
ejpam-4638	262	4	optimization	optimization	NOUN
ejpam-4638	262	5	using	use	VERB
ejpam-4638	262	6	evolutionary	evolutionary	ADJ
ejpam-4638	262	7	algorithms	algorithm	NOUN
ejpam-4638	262	8	.	.	PUNCT
ejpam-4638	263	1	édition	édition	NUM
ejpam-4638	263	2	wiley	wiley	PROPN
ejpam-4638	263	3	,	,	PUNCT
ejpam-4638	263	4	2002	2002	NUM
ejpam-4638	263	5	.	.	PUNCT
ejpam-4638	264	1	[	[	X
ejpam-4638	264	2	5	5	NUM
ejpam-4638	264	3	]	]	PUNCT
ejpam-4638	264	4	matthias	matthias	PROPN
ejpam-4638	264	5	ehrgott	ehrgott	PROPN
ejpam-4638	264	6	and	and	CCONJ
ejpam-4638	264	7	stefan	stefan	PROPN
ejpam-4638	264	8	ruzika	ruzika	PROPN
ejpam-4638	264	9	.	.	PUNCT
ejpam-4638	265	1	an	an	DET
ejpam-4638	265	2	improved	improved	ADJ
ejpam-4638	265	3	method	method	NOUN
ejpam-4638	265	4	ϵ-constraint	ϵ-constraint	NOUN
ejpam-4638	265	5	method	method	NOUN
ejpam-4638	265	6	for	for	ADP
ejpam-4638	265	7	multiobjective	multiobjective	ADJ
ejpam-4638	265	8	programming	programming	NOUN
ejpam-4638	265	9	.	.	PUNCT
ejpam-4638	266	1	journal	journal	PROPN
ejpam-4638	266	2	of	of	ADP
ejpam-4638	266	3	optimization	optimization	NOUN
ejpam-4638	266	4	theory	theory	NOUN
ejpam-4638	266	5	and	and	CCONJ
ejpam-4638	266	6	applications	application	NOUN
ejpam-4638	266	7	,	,	PUNCT
ejpam-4638	266	8	138:375–396	138:375–396	NUM
ejpam-4638	266	9	,	,	PUNCT
ejpam-4638	266	10	2008	2008	NUM
ejpam-4638	266	11	.	.	PUNCT
ejpam-4638	267	1	[	[	X
ejpam-4638	267	2	6	6	NUM
ejpam-4638	267	3	]	]	X
ejpam-4638	267	4	mohsen	mohsen	PROPN
ejpam-4638	267	5	ejday	ejday	PROPN
ejpam-4638	267	6	.	.	PUNCT
ejpam-4638	268	1	optimisation	optimisation	NOUN
ejpam-4638	268	2	multiobjectif	multiobjectif	NOUN
ejpam-4638	269	1	à	à	PROPN
ejpam-4638	269	2	base	base	NOUN
ejpam-4638	269	3	de	de	X
ejpam-4638	269	4	métamodèle	métamodèle	X
ejpam-4638	269	5	pour	pour	X
ejpam-4638	269	6	les	les	X
ejpam-4638	269	7	procédés	procédés	PROPN
ejpam-4638	269	8	de	de	X
ejpam-4638	269	9	mise	mise	PROPN
ejpam-4638	269	10	en	en	PROPN
ejpam-4638	269	11	forme	forme	PROPN
ejpam-4638	269	12	.	.	PUNCT
ejpam-4638	270	1	phd	phd	NOUN
ejpam-4638	270	2	thesis	thesis	PROPN
ejpam-4638	270	3	,	,	PUNCT
ejpam-4638	270	4	école	école	ADJ
ejpam-4638	270	5	nationale	nationale	ADJ
ejpam-4638	270	6	supérieure	supérieure	PROPN
ejpam-4638	270	7	des	des	PROPN
ejpam-4638	270	8	mines	mines	PROPN
ejpam-4638	270	9	de	de	X
ejpam-4638	270	10	paris	paris	PROPN
ejpam-4638	270	11	,	,	PUNCT
ejpam-4638	270	12	2011	2011	NUM
ejpam-4638	270	13	.	.	PUNCT
ejpam-4638	271	1	[	[	X
ejpam-4638	271	2	7	7	X
ejpam-4638	271	3	]	]	X
ejpam-4638	271	4	hamidreza	hamidreza	PROPN
ejpam-4638	271	5	eskandari	eskandari	PROPN
ejpam-4638	271	6	and	and	CCONJ
ejpam-4638	271	7	christopher	christopher	PROPN
ejpam-4638	271	8	d.	d.	PROPN
ejpam-4638	271	9	geiger	geiger	PROPN
ejpam-4638	271	10	.	.	PUNCT
ejpam-4638	272	1	a	a	DET
ejpam-4638	272	2	fast	fast	ADV
ejpam-4638	272	3	pareto	pareto	ADJ
ejpam-4638	272	4	genetic	genetic	ADJ
ejpam-4638	272	5	algorithm	algorithm	NOUN
ejpam-4638	272	6	approach	approach	NOUN
ejpam-4638	272	7	for	for	ADP
ejpam-4638	272	8	solving	solve	VERB
ejpam-4638	272	9	expensive	expensive	ADJ
ejpam-4638	272	10	multiobjective	multiobjective	ADJ
ejpam-4638	272	11	optimization	optimization	NOUN
ejpam-4638	272	12	problems	problem	NOUN
ejpam-4638	272	13	.	.	PUNCT
ejpam-4638	273	1	journal	journal	NOUN
ejpam-4638	273	2	of	of	ADP
ejpam-4638	273	3	heuristics	heuristic	NOUN
ejpam-4638	273	4	,	,	PUNCT
ejpam-4638	273	5	14:203–241	14:203–241	NUM
ejpam-4638	273	6	,	,	PUNCT
ejpam-4638	273	7	2008	2008	NUM
ejpam-4638	273	8	.	.	PUNCT
ejpam-4638	274	1	[	[	X
ejpam-4638	274	2	8	8	NUM
ejpam-4638	274	3	]	]	X
ejpam-4638	274	4	shubham	shubham	PROPN
ejpam-4638	274	5	gupta	gupta	PROPN
ejpam-4638	274	6	and	and	CCONJ
ejpam-4638	274	7	kusum	kusum	PROPN
ejpam-4638	274	8	deep	deep	ADJ
ejpam-4638	274	9	.	.	PUNCT
ejpam-4638	275	1	enhanced	enhance	VERB
ejpam-4638	275	2	leadership	leadership	NOUN
ejpam-4638	275	3	-	-	PUNCT
ejpam-4638	275	4	inspired	inspire	VERB
ejpam-4638	275	5	greywolf	greywolf	NOUN
ejpam-4638	275	6	optimizer	optimizer	NOUN
ejpam-4638	275	7	for	for	ADP
ejpam-4638	275	8	global	global	ADJ
ejpam-4638	275	9	optimization	optimization	NOUN
ejpam-4638	275	10	problem	problem	NOUN
ejpam-4638	275	11	.	.	PUNCT
ejpam-4638	276	1	engineering	engineer	VERB
ejpam-4638	276	2	with	with	ADP
ejpam-4638	276	3	computers	computer	NOUN
ejpam-4638	276	4	,	,	PUNCT
ejpam-4638	276	5	36	36	NUM
ejpam-4638	276	6	,	,	PUNCT
ejpam-4638	276	7	2020	2020	NUM
ejpam-4638	276	8	.	.	PUNCT
ejpam-4638	277	1	references	reference	NOUN
ejpam-4638	277	2	607	607	NUM
ejpam-4638	278	1	[	[	X
ejpam-4638	278	2	9	9	NUM
ejpam-4638	278	3	]	]	X
ejpam-4638	278	4	y.y	y.y	PROPN
ejpam-4638	278	5	.	.	PROPN
ejpam-4638	278	6	haimes	haimes	PROPN
ejpam-4638	278	7	,	,	PUNCT
ejpam-4638	278	8	l.	l.	PROPN
ejpam-4638	278	9	lasdon	lasdon	PROPN
ejpam-4638	278	10	,	,	PUNCT
ejpam-4638	278	11	,	,	PUNCT
ejpam-4638	278	12	and	and	CCONJ
ejpam-4638	278	13	d.	d.	PROPN
ejpam-4638	278	14	wismer	wismer	PROPN
ejpam-4638	278	15	.	.	PUNCT
ejpam-4638	279	1	on	on	ADP
ejpam-4638	279	2	a	a	DET
ejpam-4638	279	3	bicriteria	bicriteria	NOUN
ejpam-4638	279	4	formulation	formulation	NOUN
ejpam-4638	279	5	of	of	ADP
ejpam-4638	279	6	the	the	DET
ejpam-4638	279	7	problems	problem	NOUN
ejpam-4638	279	8	of	of	ADP
ejpam-4638	279	9	the	the	DET
ejpam-4638	279	10	integrated	integrate	VERB
ejpam-4638	279	11	system	system	NOUN
ejpam-4638	279	12	identification	identification	NOUN
ejpam-4638	279	13	and	and	CCONJ
ejpam-4638	279	14	system	system	NOUN
ejpam-4638	279	15	optimization	optimization	NOUN
ejpam-4638	279	16	.	.	PUNCT
ejpam-4638	280	1	ieee	ieee	NOUN
ejpam-4638	280	2	transaction	transaction	NOUN
ejpam-4638	280	3	on	on	ADP
ejpam-4638	280	4	systems	system	NOUN
ejpam-4638	280	5	,	,	PUNCT
ejpam-4638	280	6	man	man	NOUN
ejpam-4638	280	7	,	,	PUNCT
ejpam-4638	280	8	and	and	CCONJ
ejpam-4638	280	9	cybernetics	cybernetic	NOUN
ejpam-4638	280	10	,	,	PUNCT
ejpam-4638	280	11	3:296–297	3:296–297	NUM
ejpam-4638	280	12	,	,	PUNCT
ejpam-4638	280	13	1971	1971	NUM
ejpam-4638	280	14	.	.	PUNCT
ejpam-4638	281	1	[	[	X
ejpam-4638	281	2	10	10	NUM
ejpam-4638	281	3	]	]	X
ejpam-4638	281	4	zeynab	zeynab	PROPN
ejpam-4638	281	5	hoseini	hoseini	PROPN
ejpam-4638	281	6	,	,	PUNCT
ejpam-4638	281	7	hesam	hesam	PROPN
ejpam-4638	281	8	varaee	varaee	NOUN
ejpam-4638	281	9	,	,	PUNCT
ejpam-4638	281	10	mahdi	mahdi	PROPN
ejpam-4638	281	11	rafieizonooz	rafieizonooz	PROPN
ejpam-4638	281	12	,	,	PUNCT
ejpam-4638	281	13	and	and	CCONJ
ejpam-4638	281	14	jang	jang	PROPN
ejpam-4638	281	15	-	-	PUNCT
ejpam-4638	281	16	ho	ho	PROPN
ejpam-4638	281	17	jay	jay	PROPN
ejpam-4638	281	18	kim	kim	PROPN
ejpam-4638	281	19	.	.	PUNCT
ejpam-4638	282	1	a	a	DET
ejpam-4638	282	2	new	new	ADJ
ejpam-4638	282	3	enhanced	enhanced	ADJ
ejpam-4638	282	4	hybrid	hybrid	ADJ
ejpam-4638	282	5	grey	grey	NOUN
ejpam-4638	282	6	wolf	wolf	PROPN
ejpam-4638	282	7	optimizer	optimizer	NOUN
ejpam-4638	282	8	(	(	PUNCT
ejpam-4638	282	9	gwo	gwo	PROPN
ejpam-4638	282	10	)	)	PUNCT
ejpam-4638	282	11	combined	combine	VERB
ejpam-4638	282	12	with	with	ADP
ejpam-4638	282	13	elephant	elephant	NOUN
ejpam-4638	282	14	herding	herding	NOUN
ejpam-4638	282	15	optimization	optimization	NOUN
ejpam-4638	282	16	(	(	PUNCT
ejpam-4638	282	17	eho	eho	NOUN
ejpam-4638	282	18	)	)	PUNCT
ejpam-4638	282	19	algorithm	algorithm	NOUN
ejpam-4638	282	20	for	for	ADP
ejpam-4638	282	21	engineering	engineer	VERB
ejpam-4638	282	22	optimization	optimization	NOUN
ejpam-4638	282	23	.	.	PUNCT
ejpam-4638	283	1	journal	journal	NOUN
ejpam-4638	283	2	of	of	ADP
ejpam-4638	283	3	soft	soft	ADJ
ejpam-4638	283	4	computing	computing	NOUN
ejpam-4638	283	5	in	in	ADP
ejpam-4638	283	6	civil	civil	ADJ
ejpam-4638	283	7	engineering	engineering	NOUN
ejpam-4638	283	8	,	,	PUNCT
ejpam-4638	283	9	6:1–42	6:1–42	NUM
ejpam-4638	283	10	,	,	PUNCT
ejpam-4638	283	11	2022	2022	NUM
ejpam-4638	283	12	.	.	PUNCT
ejpam-4638	284	1	[	[	X
ejpam-4638	284	2	11	11	NUM
ejpam-4638	284	3	]	]	X
ejpam-4638	284	4	deming	deming	PROPN
ejpam-4638	284	5	lei	lei	PROPN
ejpam-4638	284	6	and	and	CCONJ
ejpam-4638	284	7	zhiming	zhime	VERB
ejpam-4638	284	8	wu	wu	PROPN
ejpam-4638	284	9	.	.	PUNCT
ejpam-4638	285	1	crowding	crowd	VERB
ejpam-4638	285	2	-	-	PUNCT
ejpam-4638	285	3	measure	measure	NOUN
ejpam-4638	285	4	-	-	PUNCT
ejpam-4638	285	5	based	base	VERB
ejpam-4638	285	6	multiobjective	multiobjective	ADJ
ejpam-4638	285	7	evolutionary	evolutionary	ADJ
ejpam-4638	285	8	algorithm	algorithm	NOUN
ejpam-4638	285	9	for	for	ADP
ejpam-4638	285	10	job	job	NOUN
ejpam-4638	285	11	shop	shop	NOUN
ejpam-4638	285	12	scheduling	scheduling	NOUN
ejpam-4638	285	13	.	.	PUNCT
ejpam-4638	286	1	the	the	DET
ejpam-4638	286	2	international	international	ADJ
ejpam-4638	286	3	journal	journal	NOUN
ejpam-4638	286	4	of	of	ADP
ejpam-4638	286	5	advanced	advanced	ADJ
ejpam-4638	286	6	manufacturing	manufacturing	NOUN
ejpam-4638	286	7	technology	technology	NOUN
ejpam-4638	286	8	,	,	PUNCT
ejpam-4638	286	9	30:112–117	30:112–117	NUM
ejpam-4638	286	10	,	,	PUNCT
ejpam-4638	286	11	2006	2006	NUM
ejpam-4638	286	12	.	.	PUNCT
ejpam-4638	287	1	[	[	X
ejpam-4638	287	2	12	12	NUM
ejpam-4638	287	3	]	]	X
ejpam-4638	287	4	elliot	elliot	PROPN
ejpam-4638	287	5	r.	r.	PROPN
ejpam-4638	287	6	lieberman	lieberman	PROPN
ejpam-4638	287	7	.	.	PUNCT
ejpam-4638	288	1	soviet	soviet	ADJ
ejpam-4638	288	2	multi	multi	ADJ
ejpam-4638	288	3	-	-	ADJ
ejpam-4638	288	4	objective	objective	ADJ
ejpam-4638	288	5	mathematical	mathematical	ADJ
ejpam-4638	288	6	programming	programming	NOUN
ejpam-4638	288	7	methods	method	NOUN
ejpam-4638	288	8	:	:	PUNCT
ejpam-4638	288	9	an	an	DET
ejpam-4638	288	10	overview	overview	NOUN
ejpam-4638	288	11	.	.	PUNCT
ejpam-4638	289	1	management	management	NOUN
ejpam-4638	289	2	science	science	NOUN
ejpam-4638	289	3	,	,	PUNCT
ejpam-4638	289	4	9:1067–1215	9:1067–1215	NUM
ejpam-4638	289	5	,	,	PUNCT
ejpam-4638	289	6	1991	1991	NUM
ejpam-4638	289	7	.	.	PUNCT
ejpam-4638	290	1	[	[	X
ejpam-4638	290	2	13	13	NUM
ejpam-4638	290	3	]	]	X
ejpam-4638	290	4	wen	wen	NOUN
ejpam-4638	290	5	long	long	ADV
ejpam-4638	290	6	,	,	PUNCT
ejpam-4638	290	7	shaohong	shaohong	PROPN
ejpam-4638	290	8	cai	cai	X
ejpam-4638	290	9	,	,	PUNCT
ejpam-4638	290	10	jianjun	jianjun	PROPN
ejpam-4638	290	11	jiao	jiao	PROPN
ejpam-4638	290	12	,	,	PUNCT
ejpam-4638	290	13	and	and	CCONJ
ejpam-4638	290	14	mingzhu	mingzhu	PROPN
ejpam-4638	290	15	tang	tang	PROPN
ejpam-4638	290	16	.	.	PUNCT
ejpam-4638	291	1	an	an	DET
ejpam-4638	291	2	efficient	efficient	ADJ
ejpam-4638	291	3	and	and	CCONJ
ejpam-4638	291	4	robust	robust	ADJ
ejpam-4638	291	5	grey	grey	ADJ
ejpam-4638	291	6	wolf	wolf	PROPN
ejpam-4638	291	7	optimizer	optimizer	NOUN
ejpam-4638	291	8	algorithm	algorithm	NOUN
ejpam-4638	291	9	for	for	ADP
ejpam-4638	291	10	large	large	ADJ
ejpam-4638	291	11	-	-	PUNCT
ejpam-4638	291	12	scale	scale	NOUN
ejpam-4638	291	13	numerical	numerical	ADJ
ejpam-4638	291	14	optimization	optimization	NOUN
ejpam-4638	291	15	.	.	PUNCT
ejpam-4638	292	1	soft	soft	ADJ
ejpam-4638	292	2	computing	computing	NOUN
ejpam-4638	292	3	,	,	PUNCT
ejpam-4638	292	4	24:997–1026	24:997–1026	PROPN
ejpam-4638	292	5	,	,	PUNCT
ejpam-4638	292	6	2019	2019	NUM
ejpam-4638	292	7	.	.	PUNCT
ejpam-4638	293	1	[	[	X
ejpam-4638	293	2	14	14	NUM
ejpam-4638	293	3	]	]	X
ejpam-4638	293	4	george	george	PROPN
ejpam-4638	293	5	mavrotas	mavrotas	PROPN
ejpam-4638	293	6	.	.	PUNCT
ejpam-4638	294	1	effective	effective	ADJ
ejpam-4638	294	2	implementation	implementation	NOUN
ejpam-4638	294	3	of	of	ADP
ejpam-4638	294	4	the	the	DET
ejpam-4638	294	5	ϵ-constraint	ϵ-constraint	NOUN
ejpam-4638	294	6	method	method	NOUN
ejpam-4638	294	7	in	in	ADP
ejpam-4638	294	8	multiobjective	multiobjective	ADJ
ejpam-4638	294	9	mathematical	mathematical	ADJ
ejpam-4638	294	10	programming	programming	NOUN
ejpam-4638	294	11	problems	problem	NOUN
ejpam-4638	294	12	.	.	PUNCT
ejpam-4638	295	1	applied	apply	VERB
ejpam-4638	295	2	mathematics	mathematic	NOUN
ejpam-4638	295	3	and	and	CCONJ
ejpam-4638	295	4	computation	computation	NOUN
ejpam-4638	295	5	,	,	PUNCT
ejpam-4638	295	6	213:455–465	213:455–465	NUM
ejpam-4638	295	7	,	,	PUNCT
ejpam-4638	295	8	2009	2009	NUM
ejpam-4638	295	9	.	.	PUNCT
ejpam-4638	296	1	[	[	X
ejpam-4638	296	2	15	15	NUM
ejpam-4638	296	3	]	]	X
ejpam-4638	296	4	seyedali	seyedali	PROPN
ejpam-4638	296	5	mirjalili	mirjalili	PROPN
ejpam-4638	296	6	,	,	PUNCT
ejpam-4638	296	7	seyed	seyed	PROPN
ejpam-4638	296	8	mohammad	mohammad	PROPN
ejpam-4638	296	9	mirjalili	mirjalili	PROPN
ejpam-4638	296	10	,	,	PUNCT
ejpam-4638	296	11	and	and	CCONJ
ejpam-4638	296	12	andrew	andrew	PROPN
ejpam-4638	296	13	lewis	lewis	PROPN
ejpam-4638	296	14	.	.	PUNCT
ejpam-4638	297	1	grey	grey	PROPN
ejpam-4638	297	2	wolf	wolf	PROPN
ejpam-4638	297	3	optimizer	optimizer	NOUN
ejpam-4638	297	4	.	.	PUNCT
ejpam-4638	298	1	advances	advance	NOUN
ejpam-4638	298	2	in	in	ADP
ejpam-4638	298	3	engineering	engineering	NOUN
ejpam-4638	298	4	software	software	NOUN
ejpam-4638	298	5	,	,	PUNCT
ejpam-4638	298	6	69:46–61	69:46–61	NUM
ejpam-4638	298	7	,	,	PUNCT
ejpam-4638	298	8	2014	2014	NUM
ejpam-4638	298	9	.	.	PUNCT
ejpam-4638	299	1	[	[	X
ejpam-4638	299	2	16	16	NUM
ejpam-4638	299	3	]	]	X
ejpam-4638	299	4	w.o	w.o	PROPN
ejpam-4638	299	5	.	.	PROPN
ejpam-4638	299	6	sawadogo	sawadogo	PROPN
ejpam-4638	299	7	,	,	PUNCT
ejpam-4638	299	8	p.o.f.ouédraogo	p.o.f.ouédraogo	PROPN
ejpam-4638	299	9	,	,	PUNCT
ejpam-4638	299	10	k.	k.	PROPN
ejpam-4638	299	11	somé	somé	PROPN
ejpam-4638	299	12	,	,	PUNCT
ejpam-4638	299	13	n.	n.	PROPN
ejpam-4638	299	14	alaa	alaa	PROPN
ejpam-4638	299	15	,	,	PUNCT
ejpam-4638	299	16	and	and	CCONJ
ejpam-4638	299	17	b.	b.	PROPN
ejpam-4638	299	18	somé.	somé.	PROPN
ejpam-4638	299	19	modified	modify	VERB
ejpam-4638	299	20	hybrid	hybrid	ADJ
ejpam-4638	299	21	grey	grey	NOUN
ejpam-4638	299	22	wolf	wolf	NOUN
ejpam-4638	299	23	optimizer	optimizer	NOUN
ejpam-4638	299	24	and	and	CCONJ
ejpam-4638	299	25	genetic	genetic	ADJ
ejpam-4638	299	26	algorithm	algorithm	NOUN
ejpam-4638	299	27	(	(	PUNCT
ejpam-4638	299	28	hmgwoga	hmgwoga	NOUN
ejpam-4638	299	29	)	)	PUNCT
ejpam-4638	299	30	for	for	ADP
ejpam-4638	299	31	global	global	ADJ
ejpam-4638	299	32	optimization	optimization	NOUN
ejpam-4638	299	33	of	of	ADP
ejpam-4638	299	34	positive	positive	ADJ
ejpam-4638	299	35	functions	function	NOUN
ejpam-4638	299	36	.	.	PUNCT
ejpam-4638	300	1	advance	advance	NOUN
ejpam-4638	300	2	in	in	ADP
ejpam-4638	300	3	differential	differential	ADJ
ejpam-4638	300	4	equations	equation	NOUN
ejpam-4638	300	5	and	and	CCONJ
ejpam-4638	300	6	control	control	NOUN
ejpam-4638	300	7	processes	process	NOUN
ejpam-4638	300	8	,	,	PUNCT
ejpam-4638	300	9	20:187	20:187	NUM
ejpam-4638	300	10	–	–	PUNCT
ejpam-4638	300	11	206	206	NUM
ejpam-4638	300	12	,	,	PUNCT
ejpam-4638	300	13	2019	2019	NUM
ejpam-4638	300	14	.	.	PUNCT
ejpam-4638	301	1	[	[	X
ejpam-4638	301	2	17	17	NUM
ejpam-4638	301	3	]	]	X
ejpam-4638	301	4	muhammed	muhammed	PROPN
ejpam-4638	301	5	arif	arif	PROPN
ejpam-4638	301	6	sen	sen	PROPN
ejpam-4638	301	7	and	and	CCONJ
ejpam-4638	301	8	mete	mete	PROPN
ejpam-4638	301	9	kalyoncu	kalyoncu	PROPN
ejpam-4638	301	10	.	.	PUNCT
ejpam-4638	302	1	grey	grey	PROPN
ejpam-4638	302	2	wolf	wolf	PROPN
ejpam-4638	302	3	optimizer	optimizer	NOUN
ejpam-4638	302	4	based	base	VERB
ejpam-4638	302	5	tuning	tuning	NOUN
ejpam-4638	302	6	of	of	ADP
ejpam-4638	302	7	a	a	DET
ejpam-4638	302	8	hybrid	hybrid	NOUN
ejpam-4638	302	9	lqr	lqr	NOUN
ejpam-4638	302	10	-	-	PUNCT
ejpam-4638	302	11	pid	pid	NOUN
ejpam-4638	302	12	controller	controller	NOUN
ejpam-4638	302	13	for	for	ADP
ejpam-4638	302	14	foot	foot	NOUN
ejpam-4638	302	15	trajectory	trajectory	NOUN
ejpam-4638	302	16	control	control	NOUN
ejpam-4638	302	17	of	of	ADP
ejpam-4638	302	18	a	a	DET
ejpam-4638	302	19	quadruped	quadruped	NOUN
ejpam-4638	302	20	robot	robot	NOUN
ejpam-4638	302	21	.	.	PUNCT
ejpam-4638	303	1	gazi	gazi	PROPN
ejpam-4638	303	2	university	university	PROPN
ejpam-4638	303	3	journal	journal	PROPN
ejpam-4638	303	4	of	of	ADP
ejpam-4638	303	5	science	science	NOUN
ejpam-4638	303	6	,	,	PUNCT
ejpam-4638	303	7	32:674–684	32:674–684	NUM
ejpam-4638	303	8	,	,	PUNCT
ejpam-4638	303	9	2019	2019	NUM
ejpam-4638	303	10	.	.	PUNCT
ejpam-4638	304	1	[	[	X
ejpam-4638	304	2	18	18	NUM
ejpam-4638	304	3	]	]	PUNCT
ejpam-4638	304	4	alexandre	alexandre	PROPN
ejpam-4638	304	5	som	som	PROPN
ejpam-4638	304	6	,	,	PUNCT
ejpam-4638	304	7	kounhinir	kounhinir	NOUN
ejpam-4638	304	8	somé	somé	NOUN
ejpam-4638	304	9	,	,	PUNCT
ejpam-4638	304	10	abdoulaye	abdoulaye	VERB
ejpam-4638	304	11	compaoré	compaoré	NOUN
ejpam-4638	304	12	,	,	PUNCT
ejpam-4638	304	13	and	and	CCONJ
ejpam-4638	304	14	blaise	blaise	PROPN
ejpam-4638	304	15	somé.	somé.	PROPN
ejpam-4638	304	16	performances	performance	VERB
ejpam-4638	304	17	assessment	assessment	NOUN
ejpam-4638	304	18	of	of	ADP
ejpam-4638	304	19	moma	moma	PROPN
ejpam-4638	304	20	-	-	PUNCT
ejpam-4638	304	21	plus	plus	CCONJ
ejpam-4638	304	22	method	method	NOUN
ejpam-4638	304	23	on	on	ADP
ejpam-4638	304	24	multiobjective	multiobjective	ADJ
ejpam-4638	304	25	optimization	optimization	NOUN
ejpam-4638	304	26	problems	problem	NOUN
ejpam-4638	304	27	.	.	PUNCT
ejpam-4638	305	1	european	european	ADJ
ejpam-4638	305	2	journal	journal	PROPN
ejpam-4638	305	3	of	of	ADP
ejpam-4638	305	4	pure	pure	ADJ
ejpam-4638	305	5	and	and	CCONJ
ejpam-4638	305	6	applied	applied	ADJ
ejpam-4638	305	7	mathematics	mathematic	NOUN
ejpam-4638	305	8	,	,	PUNCT
ejpam-4638	305	9	13:48–68	13:48–68	NUM
ejpam-4638	305	10	,	,	PUNCT
ejpam-4638	305	11	2020	2020	NUM
ejpam-4638	305	12	.	.	PUNCT
ejpam-4638	306	1	[	[	X
ejpam-4638	306	2	19	19	NUM
ejpam-4638	306	3	]	]	PUNCT
ejpam-4638	306	4	alexandre	alexandre	PROPN
ejpam-4638	306	5	som	som	PROPN
ejpam-4638	306	6	,	,	PUNCT
ejpam-4638	306	7	kounhinir	kounhinir	NOUN
ejpam-4638	306	8	somé	somé	NOUN
ejpam-4638	306	9	,	,	PUNCT
ejpam-4638	306	10	abdoulaye	abdoulaye	VERB
ejpam-4638	306	11	compaoré	compaoré	NOUN
ejpam-4638	306	12	,	,	PUNCT
ejpam-4638	306	13	and	and	CCONJ
ejpam-4638	306	14	blaise	blaise	PROPN
ejpam-4638	306	15	somé.	somé.	PROPN
ejpam-4638	306	16	exponential	exponential	ADJ
ejpam-4638	306	17	penalty	penalty	NOUN
ejpam-4638	306	18	function	function	NOUN
ejpam-4638	306	19	with	with	ADP
ejpam-4638	306	20	moma	moma	NOUN
ejpam-4638	306	21	-	-	PUNCT
ejpam-4638	306	22	plus	plus	CCONJ
ejpam-4638	306	23	for	for	ADP
ejpam-4638	306	24	the	the	DET
ejpam-4638	306	25	multiobjective	multiobjective	ADJ
ejpam-4638	306	26	optimization	optimization	NOUN
ejpam-4638	306	27	problems	problem	NOUN
ejpam-4638	306	28	.	.	PUNCT
ejpam-4638	307	1	applied	apply	VERB
ejpam-4638	307	2	analysis	analysis	NOUN
ejpam-4638	307	3	and	and	CCONJ
ejpam-4638	307	4	optimization	optimization	NOUN
ejpam-4638	307	5	,	,	PUNCT
ejpam-4638	307	6	5:323–334	5:323–334	NOUN
ejpam-4638	307	7	,	,	PUNCT
ejpam-4638	307	8	2021	2021	NUM
ejpam-4638	307	9	.	.	PUNCT
ejpam-4638	308	1	[	[	X
ejpam-4638	308	2	20	20	NUM
ejpam-4638	308	3	]	]	X
ejpam-4638	308	4	kounhinir	kounhinir	NOUN
ejpam-4638	308	5	somé	somé	PROPN
ejpam-4638	308	6	,	,	PUNCT
ejpam-4638	308	7	berthold	berthold	PROPN
ejpam-4638	308	8	ulungu	ulungu	PROPN
ejpam-4638	308	9	,	,	PUNCT
ejpam-4638	308	10	ibrahim	ibrahim	PROPN
ejpam-4638	308	11	imidi	imidi	PROPN
ejpam-4638	308	12	mohamed	mohame	VERB
ejpam-4638	308	13	,	,	PUNCT
ejpam-4638	308	14	and	and	CCONJ
ejpam-4638	308	15	blasie	blasie	PROPN
ejpam-4638	308	16	somé.	somé.	PROPN
ejpam-4638	308	17	a	a	DET
ejpam-4638	308	18	new	new	ADJ
ejpam-4638	308	19	method	method	NOUN
ejpam-4638	308	20	for	for	ADP
ejpam-4638	308	21	solving	solve	VERB
ejpam-4638	308	22	nonlinear	nonlinear	ADJ
ejpam-4638	308	23	multiobjective	multiobjective	ADJ
ejpam-4638	308	24	optimisation	optimisation	NOUN
ejpam-4638	308	25	problems	problem	NOUN
ejpam-4638	308	26	.	.	PUNCT
ejpam-4638	309	1	jp	jp	PROPN
ejpam-4638	309	2	journal	journal	PROPN
ejpam-4638	309	3	of	of	ADP
ejpam-4638	309	4	mathematical	mathematical	ADJ
ejpam-4638	309	5	sciences	science	NOUN
ejpam-4638	309	6	,	,	PUNCT
ejpam-4638	309	7	2:1–18	2:1–18	NUM
ejpam-4638	309	8	,	,	PUNCT
ejpam-4638	309	9	2011	2011	NUM
ejpam-4638	309	10	.	.	PUNCT
ejpam-4638	310	1	references	reference	NOUN
ejpam-4638	310	2	608	608	NUM
ejpam-4638	310	3	[	[	X
ejpam-4638	310	4	21	21	NUM
ejpam-4638	310	5	]	]	X
ejpam-4638	310	6	n.	n.	PROPN
ejpam-4638	310	7	srinivas	srinivas	PROPN
ejpam-4638	310	8	and	and	CCONJ
ejpam-4638	310	9	k.	k.	PROPN
ejpam-4638	310	10	deb	deb	PROPN
ejpam-4638	310	11	.	.	PUNCT
ejpam-4638	311	1	multiobjective	multiobjective	ADJ
ejpam-4638	311	2	function	function	NOUN
ejpam-4638	311	3	optimization	optimization	NOUN
ejpam-4638	311	4	using	use	VERB
ejpam-4638	311	5	non	non	ADJ
ejpam-4638	311	6	-	-	ADJ
ejpam-4638	311	7	dominated	dominated	ADJ
ejpam-4638	311	8	sorting	sort	VERB
ejpam-4638	311	9	genetic	genetic	ADJ
ejpam-4638	311	10	algorithms	algorithm	NOUN
ejpam-4638	311	11	.	.	PUNCT
ejpam-4638	312	1	computer	computer	NOUN
ejpam-4638	312	2	science	science	NOUN
ejpam-4638	312	3	,	,	PUNCT
ejpam-4638	312	4	2:221–248	2:221–248	NUM
ejpam-4638	312	5	,	,	PUNCT
ejpam-4638	312	6	1995	1995	NUM
ejpam-4638	312	7	.	.	PUNCT
ejpam-4638	313	1	[	[	X
ejpam-4638	313	2	22	22	NUM
ejpam-4638	313	3	]	]	X
ejpam-4638	313	4	long	long	PROPN
ejpam-4638	313	5	wen	wen	PROPN
ejpam-4638	313	6	.	.	PUNCT
ejpam-4638	314	1	grey	grey	PROPN
ejpam-4638	314	2	wolf	wolf	PROPN
ejpam-4638	314	3	optimizer	optimizer	NOUN
ejpam-4638	314	4	based	base	VERB
ejpam-4638	314	5	on	on	ADP
ejpam-4638	314	6	nonlinear	nonlinear	ADJ
ejpam-4638	314	7	adjustment	adjustment	NOUN
ejpam-4638	314	8	control	control	NOUN
ejpam-4638	314	9	parameter	parameter	PROPN
ejpam-4638	314	10	.	.	PUNCT
ejpam-4638	315	1	advances	advance	NOUN
ejpam-4638	315	2	in	in	ADP
ejpam-4638	315	3	intelligent	intelligent	ADJ
ejpam-4638	315	4	systems	system	NOUN
ejpam-4638	315	5	research	research	NOUN
ejpam-4638	315	6	,	,	PUNCT
ejpam-4638	315	7	136:643–648	136:643–648	NUM
ejpam-4638	315	8	,	,	PUNCT
ejpam-4638	315	9	2016	2016	NUM
ejpam-4638	315	10	.	.	PUNCT
ejpam-4638	316	1	[	[	X
ejpam-4638	316	2	23	23	NUM
ejpam-4638	316	3	]	]	SYM
ejpam-4638	316	4	nd	nd	PROPN
ejpam-4638	316	5	.	.	PROPN
ejpam-4638	316	6	j.	j.	PROPN
ejpam-4638	316	7	white	white	PROPN
ejpam-4638	316	8	.	.	PUNCT
ejpam-4638	316	9	multiobjective	multiobjective	ADJ
ejpam-4638	316	10	programming	programming	NOUN
ejpam-4638	316	11	and	and	CCONJ
ejpam-4638	316	12	penalty	penalty	NOUN
ejpam-4638	316	13	functions	function	NOUN
ejpam-4638	316	14	.	.	PUNCT
ejpam-4638	317	1	journal	journal	NOUN
ejpam-4638	317	2	of	of	ADP
ejpam-4638	317	3	optimization	optimization	NOUN
ejpam-4638	317	4	theory	theory	NOUN
ejpam-4638	317	5	and	and	CCONJ
ejpam-4638	317	6	applications	application	NOUN
ejpam-4638	317	7	,	,	PUNCT
ejpam-4638	317	8	43:583–599	43:583–599	NUM
ejpam-4638	317	9	,	,	PUNCT
ejpam-4638	317	10	1998	1998	NUM
ejpam-4638	317	11	.	.	PUNCT
ejpam-4638	318	1	[	[	X
ejpam-4638	318	2	24	24	NUM
ejpam-4638	318	3	]	]	PUNCT
ejpam-4638	318	4	wei	wei	PROPN
ejpam-4638	318	5	zhang	zhang	PROPN
ejpam-4638	318	6	,	,	PUNCT
ejpam-4638	318	7	sai	sai	PROPN
ejpam-4638	318	8	zhang	zhang	PROPN
ejpam-4638	318	9	,	,	PUNCT
ejpam-4638	318	10	fengyan	fengyan	PROPN
ejpam-4638	318	11	wu	wu	PROPN
ejpam-4638	318	12	,	,	PUNCT
ejpam-4638	318	13	and	and	CCONJ
ejpam-4638	318	14	yagang	yagang	PROPN
ejpam-4638	318	15	wang	wang	PROPN
ejpam-4638	318	16	.	.	PUNCT
ejpam-4638	319	1	path	path	PROPN
ejpam-4638	319	2	planning	planning	PROPN
ejpam-4638	319	3	of	of	ADP
ejpam-4638	319	4	uav	uav	PROPN
ejpam-4638	319	5	based	base	VERB
ejpam-4638	319	6	on	on	ADP
ejpam-4638	319	7	improved	improve	VERB
ejpam-4638	319	8	adaptive	adaptive	ADJ
ejpam-4638	319	9	grey	grey	ADJ
ejpam-4638	319	10	wolf	wolf	PROPN
ejpam-4638	319	11	optimization	optimization	NOUN
ejpam-4638	319	12	algorithm	algorithm	NOUN
ejpam-4638	319	13	.	.	PUNCT
ejpam-4638	320	1	ieee	ieee	NOUN
ejpam-4638	320	2	access	access	NOUN
ejpam-4638	320	3	,	,	PUNCT
ejpam-4638	320	4	9:89400	9:89400	NUM
ejpam-4638	320	5	–	–	PUNCT
ejpam-4638	320	6	89411	89411	NUM
ejpam-4638	320	7	,	,	PUNCT
ejpam-4638	320	8	2021	2021	NUM
ejpam-4638	320	9	.	.	PUNCT
ejpam-4638	321	1	[	[	X
ejpam-4638	321	2	25	25	NUM
ejpam-4638	321	3	]	]	X
ejpam-4638	321	4	y.	y.	PROPN
ejpam-4638	321	5	zheng	zheng	PROPN
ejpam-4638	321	6	and	and	CCONJ
ejpam-4638	321	7	z.	z.	PROPN
ejpam-4638	321	8	meng	meng	PROPN
ejpam-4638	321	9	.	.	PUNCT
ejpam-4638	322	1	a	a	DET
ejpam-4638	322	2	new	new	ADJ
ejpam-4638	322	3	augmented	augment	VERB
ejpam-4638	322	4	lagrangian	lagrangian	ADJ
ejpam-4638	322	5	objective	objective	ADJ
ejpam-4638	322	6	penalty	penalty	NOUN
ejpam-4638	322	7	function	function	NOUN
ejpam-4638	322	8	for	for	ADP
ejpam-4638	322	9	constrained	constrain	VERB
ejpam-4638	322	10	optimization	optimization	NOUN
ejpam-4638	322	11	problems	problem	NOUN
ejpam-4638	322	12	.	.	PUNCT
ejpam-4638	323	1	open	open	ADJ
ejpam-4638	323	2	journal	journal	PROPN
ejpam-4638	323	3	of	of	ADP
ejpam-4638	323	4	optimization	optimization	NOUN
ejpam-4638	323	5	,	,	PUNCT
ejpam-4638	323	6	6:39–46	6:39–46	NUM
ejpam-4638	323	7	,	,	PUNCT
ejpam-4638	323	8	2017	2017	NUM
ejpam-4638	323	9	.	.	PUNCT
ejpam-4638	324	1	[	[	X
ejpam-4638	324	2	26	26	NUM
ejpam-4638	324	3	]	]	PUNCT
ejpam-4638	324	4	yujun	yujun	PROPN
ejpam-4638	324	5	zheng	zheng	PROPN
ejpam-4638	324	6	,	,	PUNCT
ejpam-4638	324	7	shengyong	shengyong	PROPN
ejpam-4638	324	8	chen	chen	PROPN
ejpam-4638	324	9	,	,	PUNCT
ejpam-4638	324	10	and	and	CCONJ
ejpam-4638	324	11	haifeng	haifeng	PROPN
ejpam-4638	324	12	ling	ling	PROPN
ejpam-4638	324	13	.	.	PUNCT
ejpam-4638	325	1	efficient	efficient	ADJ
ejpam-4638	325	2	multi	multi	ADJ
ejpam-4638	325	3	-	-	ADJ
ejpam-4638	325	4	objective	objective	ADJ
ejpam-4638	325	5	tabu	tabu	NOUN
ejpam-4638	325	6	search	search	NOUN
ejpam-4638	325	7	for	for	ADP
ejpam-4638	325	8	emergency	emergency	NOUN
ejpam-4638	325	9	equipment	equipment	NOUN
ejpam-4638	325	10	maintenance	maintenance	NOUN
ejpam-4638	325	11	scheduling	scheduling	NOUN
ejpam-4638	325	12	in	in	ADP
ejpam-4638	325	13	disaster	disaster	NOUN
ejpam-4638	325	14	rescue	rescue	NOUN
ejpam-4638	325	15	.	.	PUNCT
ejpam-4638	326	1	optimization	optimization	NOUN
ejpam-4638	326	2	letters	letter	NOUN
ejpam-4638	326	3	,	,	PUNCT
ejpam-4638	326	4	7:89–100	7:89–100	NUM
ejpam-4638	326	5	,	,	PUNCT
ejpam-4638	326	6	2013	2013	NUM
ejpam-4638	326	7	.	.	PUNCT