id	sid	tid	token	lemma	pos
ejpam-6602	1	1	european	european	PROPN
ejpam-6602	1	2	journal	journal	PROPN
ejpam-6602	1	3	of	of	ADP
ejpam-6602	1	4	pure	pure	ADJ
ejpam-6602	1	5	and	and	CCONJ
ejpam-6602	1	6	applied	applied	ADJ
ejpam-6602	1	7	mathematics	mathematic	NOUN
ejpam-6602	1	8	2025	2025	NUM
ejpam-6602	1	9	,	,	PUNCT
ejpam-6602	1	10	vol	vol	NOUN
ejpam-6602	1	11	.	.	PROPN
ejpam-6602	1	12	18	18	NUM
ejpam-6602	1	13	,	,	PUNCT
ejpam-6602	1	14	issue	issue	NOUN
ejpam-6602	1	15	3	3	NUM
ejpam-6602	1	16	,	,	PUNCT
ejpam-6602	1	17	article	article	NOUN
ejpam-6602	1	18	number	number	NOUN
ejpam-6602	1	19	6602	6602	NUM
ejpam-6602	1	20	issn	issn	VERB
ejpam-6602	1	21	1307	1307	NUM
ejpam-6602	1	22	-	-	SYM
ejpam-6602	1	23	5543	5543	NUM
ejpam-6602	1	24	–	–	PUNCT
ejpam-6602	1	25	ejpam.com	ejpam.com	X
ejpam-6602	1	26	published	publish	VERB
ejpam-6602	1	27	by	by	ADP
ejpam-6602	1	28	new	new	PROPN
ejpam-6602	1	29	york	york	PROPN
ejpam-6602	1	30	business	business	PROPN
ejpam-6602	1	31	global	global	ADJ
ejpam-6602	1	32	hybrid	hybrid	ADJ
ejpam-6602	1	33	metaheuristic	metaheuristic	ADJ
ejpam-6602	1	34	framework	framework	NOUN
ejpam-6602	1	35	with	with	ADP
ejpam-6602	1	36	reinforcement	reinforcement	NOUN
ejpam-6602	1	37	learning	learning	NOUN
ejpam-6602	1	38	-	-	PUNCT
ejpam-6602	1	39	based	base	VERB
ejpam-6602	1	40	adaptation	adaptation	NOUN
ejpam-6602	1	41	for	for	ADP
ejpam-6602	1	42	large	large	ADJ
ejpam-6602	1	43	-	-	PUNCT
ejpam-6602	1	44	scale	scale	NOUN
ejpam-6602	1	45	combinatorial	combinatorial	ADJ
ejpam-6602	1	46	optimization	optimization	NOUN
ejpam-6602	1	47	kassem	kassem	PROPN
ejpam-6602	1	48	danach1	danach1	PROPN
ejpam-6602	1	49	,	,	PUNCT
ejpam-6602	1	50	hassan	hassan	PROPN
ejpam-6602	1	51	harb2,∗	harb2,∗	PROPN
ejpam-6602	1	52	,	,	PUNCT
ejpam-6602	1	53	hussin	hussin	PROPN
ejpam-6602	1	54	jose	jose	PROPN
ejpam-6602	1	55	hejase1	hejase1	PROPN
ejpam-6602	1	56	,	,	PUNCT
ejpam-6602	1	57	louai	louai	X
ejpam-6602	1	58	saker2	saker2	X
ejpam-6602	1	59	1	1	NUM
ejpam-6602	1	60	basic	basic	ADJ
ejpam-6602	1	61	and	and	CCONJ
ejpam-6602	1	62	applied	apply	VERB
ejpam-6602	1	63	sciences	sciences	PROPN
ejpam-6602	1	64	research	research	NOUN
ejpam-6602	1	65	center	center	NOUN
ejpam-6602	1	66	,	,	PUNCT
ejpam-6602	1	67	al	al	PROPN
ejpam-6602	1	68	maaref	maaref	PROPN
ejpam-6602	1	69	university	university	PROPN
ejpam-6602	1	70	,	,	PUNCT
ejpam-6602	1	71	beirut	beirut	PROPN
ejpam-6602	1	72	,	,	PUNCT
ejpam-6602	1	73	lebanon	lebanon	PROPN
ejpam-6602	1	74	2	2	NUM
ejpam-6602	1	75	college	college	NOUN
ejpam-6602	1	76	of	of	ADP
ejpam-6602	1	77	engineering	engineering	NOUN
ejpam-6602	1	78	and	and	CCONJ
ejpam-6602	1	79	technology	technology	NOUN
ejpam-6602	1	80	,	,	PUNCT
ejpam-6602	1	81	american	american	PROPN
ejpam-6602	1	82	university	university	PROPN
ejpam-6602	1	83	of	of	ADP
ejpam-6602	1	84	the	the	DET
ejpam-6602	1	85	middle	middle	PROPN
ejpam-6602	1	86	east	east	PROPN
ejpam-6602	1	87	,	,	PUNCT
ejpam-6602	1	88	kuwait	kuwait	PROPN
ejpam-6602	1	89	abstract	abstract	PROPN
ejpam-6602	1	90	.	.	PUNCT
ejpam-6602	2	1	this	this	DET
ejpam-6602	2	2	paper	paper	NOUN
ejpam-6602	2	3	proposes	propose	VERB
ejpam-6602	2	4	a	a	DET
ejpam-6602	2	5	novel	novel	ADJ
ejpam-6602	2	6	hybrid	hybrid	ADJ
ejpam-6602	2	7	metaheuristic	metaheuristic	ADJ
ejpam-6602	2	8	framework	framework	NOUN
ejpam-6602	2	9	(	(	PUNCT
ejpam-6602	2	10	hmf	hmf	PROPN
ejpam-6602	2	11	)	)	PUNCT
ejpam-6602	2	12	that	that	PRON
ejpam-6602	2	13	integrates	integrate	VERB
ejpam-6602	2	14	multiple	multiple	ADJ
ejpam-6602	2	15	optimization	optimization	NOUN
ejpam-6602	2	16	strategies	strategy	NOUN
ejpam-6602	2	17	within	within	ADP
ejpam-6602	2	18	a	a	DET
ejpam-6602	2	19	self	self	NOUN
ejpam-6602	2	20	-	-	PUNCT
ejpam-6602	2	21	adaptive	adaptive	ADJ
ejpam-6602	2	22	mechanism	mechanism	NOUN
ejpam-6602	2	23	for	for	ADP
ejpam-6602	2	24	solving	solve	VERB
ejpam-6602	2	25	large	large	ADJ
ejpam-6602	2	26	-	-	PUNCT
ejpam-6602	2	27	scale	scale	NOUN
ejpam-6602	2	28	combinatorial	combinatorial	ADJ
ejpam-6602	2	29	problems	problem	NOUN
ejpam-6602	2	30	.	.	PUNCT
ejpam-6602	3	1	unlike	unlike	ADP
ejpam-6602	3	2	traditional	traditional	ADJ
ejpam-6602	3	3	metaheuristics	metaheuristic	NOUN
ejpam-6602	3	4	,	,	PUNCT
ejpam-6602	3	5	which	which	PRON
ejpam-6602	3	6	rely	rely	VERB
ejpam-6602	3	7	on	on	ADP
ejpam-6602	3	8	fixed	fix	VERB
ejpam-6602	3	9	algorithmic	algorithmic	ADJ
ejpam-6602	3	10	parameters	parameter	NOUN
ejpam-6602	3	11	and	and	CCONJ
ejpam-6602	3	12	predefined	predefine	VERB
ejpam-6602	3	13	strategies	strategy	NOUN
ejpam-6602	3	14	,	,	PUNCT
ejpam-6602	3	15	hmf	hmf	NOUN
ejpam-6602	3	16	dynamically	dynamically	ADV
ejpam-6602	3	17	selects	select	NOUN
ejpam-6602	3	18	and	and	CCONJ
ejpam-6602	3	19	adjusts	adjust	VERB
ejpam-6602	3	20	heuristic	heuristic	ADJ
ejpam-6602	3	21	operators	operator	NOUN
ejpam-6602	3	22	using	use	VERB
ejpam-6602	3	23	a	a	DET
ejpam-6602	3	24	reinforcement	reinforcement	NOUN
ejpam-6602	3	25	learning	learning	NOUN
ejpam-6602	3	26	-	-	PUNCT
ejpam-6602	3	27	based	base	VERB
ejpam-6602	3	28	adaptive	adaptive	ADJ
ejpam-6602	3	29	mechanism	mechanism	NOUN
ejpam-6602	3	30	.	.	PUNCT
ejpam-6602	4	1	specifically	specifically	ADV
ejpam-6602	4	2	,	,	PUNCT
ejpam-6602	4	3	the	the	DET
ejpam-6602	4	4	framework	framework	NOUN
ejpam-6602	4	5	employs	employ	VERB
ejpam-6602	4	6	deep	deep	ADJ
ejpam-6602	4	7	q	q	NOUN
ejpam-6602	4	8	-	-	PUNCT
ejpam-6602	4	9	learning	learning	NOUN
ejpam-6602	4	10	to	to	PART
ejpam-6602	4	11	guide	guide	VERB
ejpam-6602	4	12	real	real	ADJ
ejpam-6602	4	13	-	-	PUNCT
ejpam-6602	4	14	time	time	NOUN
ejpam-6602	4	15	parameter	parameter	NOUN
ejpam-6602	4	16	tuning	tuning	NOUN
ejpam-6602	4	17	and	and	CCONJ
ejpam-6602	4	18	metaheuristic	metaheuristic	ADJ
ejpam-6602	4	19	selection	selection	NOUN
ejpam-6602	4	20	based	base	VERB
ejpam-6602	4	21	on	on	ADP
ejpam-6602	4	22	performance	performance	NOUN
ejpam-6602	4	23	feedback	feedback	NOUN
ejpam-6602	4	24	from	from	ADP
ejpam-6602	4	25	the	the	DET
ejpam-6602	4	26	optimization	optimization	NOUN
ejpam-6602	4	27	process	process	NOUN
ejpam-6602	4	28	.	.	PUNCT
ejpam-6602	5	1	the	the	DET
ejpam-6602	5	2	study	study	NOUN
ejpam-6602	5	3	applies	apply	VERB
ejpam-6602	5	4	this	this	DET
ejpam-6602	5	5	framework	framework	NOUN
ejpam-6602	5	6	to	to	ADP
ejpam-6602	5	7	three	three	NUM
ejpam-6602	5	8	benchmark	benchmark	ADJ
ejpam-6602	5	9	problems	problem	NOUN
ejpam-6602	5	10	:	:	PUNCT
ejpam-6602	5	11	the	the	DET
ejpam-6602	5	12	vehicle	vehicle	NOUN
ejpam-6602	5	13	routing	routing	NOUN
ejpam-6602	5	14	problem	problem	NOUN
ejpam-6602	5	15	(	(	PUNCT
ejpam-6602	5	16	vrp	vrp	NOUN
ejpam-6602	5	17	)	)	PUNCT
ejpam-6602	5	18	,	,	PUNCT
ejpam-6602	5	19	the	the	DET
ejpam-6602	5	20	facility	facility	NOUN
ejpam-6602	5	21	location	location	NOUN
ejpam-6602	5	22	problem	problem	NOUN
ejpam-6602	5	23	(	(	PUNCT
ejpam-6602	5	24	flp	flp	NOUN
ejpam-6602	5	25	)	)	PUNCT
ejpam-6602	5	26	,	,	PUNCT
ejpam-6602	5	27	and	and	CCONJ
ejpam-6602	5	28	the	the	DET
ejpam-6602	5	29	job	job	NOUN
ejpam-6602	5	30	scheduling	scheduling	NOUN
ejpam-6602	5	31	problem	problem	NOUN
ejpam-6602	5	32	(	(	PUNCT
ejpam-6602	5	33	jsp	jsp	PROPN
ejpam-6602	5	34	)	)	PUNCT
ejpam-6602	5	35	,	,	PUNCT
ejpam-6602	5	36	demonstrating	demonstrate	VERB
ejpam-6602	5	37	consistent	consistent	ADJ
ejpam-6602	5	38	gains	gain	NOUN
ejpam-6602	5	39	in	in	ADP
ejpam-6602	5	40	solution	solution	NOUN
ejpam-6602	5	41	quality	quality	NOUN
ejpam-6602	5	42	and	and	CCONJ
ejpam-6602	5	43	convergence	convergence	NOUN
ejpam-6602	5	44	speed	speed	NOUN
ejpam-6602	5	45	.	.	PUNCT
ejpam-6602	6	1	experimental	experimental	ADJ
ejpam-6602	6	2	results	result	NOUN
ejpam-6602	6	3	show	show	VERB
ejpam-6602	6	4	that	that	SCONJ
ejpam-6602	6	5	the	the	DET
ejpam-6602	6	6	proposed	propose	VERB
ejpam-6602	6	7	hmf	hmf	PROPN
ejpam-6602	6	8	achieves	achieve	VERB
ejpam-6602	6	9	up	up	ADP
ejpam-6602	6	10	to	to	PART
ejpam-6602	6	11	12	12	NUM
ejpam-6602	6	12	%	%	NOUN
ejpam-6602	6	13	improvement	improvement	NOUN
ejpam-6602	6	14	in	in	ADP
ejpam-6602	6	15	solution	solution	NOUN
ejpam-6602	6	16	quality	quality	NOUN
ejpam-6602	6	17	,	,	PUNCT
ejpam-6602	6	18	a	a	DET
ejpam-6602	6	19	40	40	NUM
ejpam-6602	6	20	%	%	NOUN
ejpam-6602	6	21	reduction	reduction	NOUN
ejpam-6602	6	22	in	in	ADP
ejpam-6602	6	23	computational	computational	ADJ
ejpam-6602	6	24	cost	cost	NOUN
ejpam-6602	6	25	,	,	PUNCT
ejpam-6602	6	26	and	and	CCONJ
ejpam-6602	6	27	a	a	DET
ejpam-6602	6	28	96.8	96.8	NUM
ejpam-6602	6	29	%	%	NOUN
ejpam-6602	6	30	success	success	NOUN
ejpam-6602	6	31	rate	rate	NOUN
ejpam-6602	6	32	compared	compare	VERB
ejpam-6602	6	33	to	to	ADP
ejpam-6602	6	34	traditional	traditional	ADJ
ejpam-6602	6	35	metaheuristics	metaheuristic	NOUN
ejpam-6602	6	36	.	.	PUNCT
ejpam-6602	7	1	these	these	DET
ejpam-6602	7	2	findings	finding	NOUN
ejpam-6602	7	3	establish	establish	VERB
ejpam-6602	7	4	the	the	DET
ejpam-6602	7	5	proposed	propose	VERB
ejpam-6602	7	6	framework	framework	NOUN
ejpam-6602	7	7	as	as	ADP
ejpam-6602	7	8	a	a	DET
ejpam-6602	7	9	promising	promising	ADJ
ejpam-6602	7	10	tool	tool	NOUN
ejpam-6602	7	11	for	for	ADP
ejpam-6602	7	12	real	real	ADJ
ejpam-6602	7	13	-	-	PUNCT
ejpam-6602	7	14	world	world	NOUN
ejpam-6602	7	15	large	large	ADJ
ejpam-6602	7	16	-	-	PUNCT
ejpam-6602	7	17	scale	scale	NOUN
ejpam-6602	7	18	combinatorial	combinatorial	ADJ
ejpam-6602	7	19	optimization	optimization	NOUN
ejpam-6602	7	20	challenges	challenge	NOUN
ejpam-6602	7	21	.	.	PUNCT
ejpam-6602	8	1	2020	2020	NUM
ejpam-6602	8	2	mathematics	mathematic	NOUN
ejpam-6602	8	3	subject	subject	NOUN
ejpam-6602	8	4	classifications	classification	NOUN
ejpam-6602	8	5	:	:	PUNCT
ejpam-6602	8	6	68t20	68t20	NUM
ejpam-6602	8	7	,	,	PUNCT
ejpam-6602	8	8	90c59	90c59	NUM
ejpam-6602	8	9	,	,	PUNCT
ejpam-6602	8	10	68w40	68w40	NOUN
ejpam-6602	8	11	,	,	PUNCT
ejpam-6602	8	12	90b06	90b06	NUM
ejpam-6602	8	13	key	key	ADJ
ejpam-6602	8	14	words	word	NOUN
ejpam-6602	8	15	and	and	CCONJ
ejpam-6602	8	16	phrases	phrase	NOUN
ejpam-6602	8	17	:	:	PUNCT
ejpam-6602	8	18	smart	smart	ADJ
ejpam-6602	8	19	cities	city	NOUN
ejpam-6602	8	20	,	,	PUNCT
ejpam-6602	8	21	metaheuristic	metaheuristic	ADJ
ejpam-6602	8	22	,	,	PUNCT
ejpam-6602	8	23	reinforcement	reinforcement	NOUN
ejpam-6602	8	24	learning	learning	NOUN
ejpam-6602	8	25	,	,	PUNCT
ejpam-6602	8	26	artificial	artificial	ADJ
ejpam-6602	8	27	intelligence	intelligence	NOUN
ejpam-6602	8	28	,	,	PUNCT
ejpam-6602	8	29	combinatorial	combinatorial	ADJ
ejpam-6602	8	30	optimization	optimization	NOUN
ejpam-6602	8	31	1	1	NUM
ejpam-6602	8	32	.	.	PUNCT
ejpam-6602	9	1	introduction	introduction	NOUN
ejpam-6602	9	2	combinatorial	combinatorial	ADJ
ejpam-6602	9	3	optimization	optimization	NOUN
ejpam-6602	9	4	problems	problem	NOUN
ejpam-6602	9	5	(	(	PUNCT
ejpam-6602	9	6	cops	cop	NOUN
ejpam-6602	9	7	)	)	PUNCT
ejpam-6602	9	8	are	be	AUX
ejpam-6602	9	9	among	among	ADP
ejpam-6602	9	10	the	the	DET
ejpam-6602	9	11	most	most	ADV
ejpam-6602	9	12	challenging	challenging	ADJ
ejpam-6602	9	13	problems	problem	NOUN
ejpam-6602	9	14	in	in	ADP
ejpam-6602	9	15	computational	computational	ADJ
ejpam-6602	9	16	science	science	NOUN
ejpam-6602	9	17	,	,	PUNCT
ejpam-6602	9	18	with	with	ADP
ejpam-6602	9	19	applications	application	NOUN
ejpam-6602	9	20	spanning	span	VERB
ejpam-6602	9	21	logistics	logistic	NOUN
ejpam-6602	9	22	,	,	PUNCT
ejpam-6602	9	23	scheduling	scheduling	NOUN
ejpam-6602	9	24	,	,	PUNCT
ejpam-6602	9	25	network	network	NOUN
ejpam-6602	9	26	design	design	NOUN
ejpam-6602	9	27	,	,	PUNCT
ejpam-6602	9	28	healthcare	healthcare	PROPN
ejpam-6602	9	29	,	,	PUNCT
ejpam-6602	9	30	and	and	CCONJ
ejpam-6602	9	31	industrial	industrial	ADJ
ejpam-6602	9	32	planning	planning	NOUN
ejpam-6602	9	33	[	[	X
ejpam-6602	9	34	1	1	NUM
ejpam-6602	9	35	,	,	PUNCT
ejpam-6602	9	36	2	2	NUM
ejpam-6602	9	37	]	]	PUNCT
ejpam-6602	9	38	.	.	PUNCT
ejpam-6602	10	1	these	these	DET
ejpam-6602	10	2	problems	problem	NOUN
ejpam-6602	10	3	are	be	AUX
ejpam-6602	10	4	classified	classify	VERB
ejpam-6602	10	5	as	as	ADP
ejpam-6602	10	6	nphard	nphard	NOUN
ejpam-6602	10	7	,	,	PUNCT
ejpam-6602	10	8	meaning	mean	VERB
ejpam-6602	10	9	that	that	SCONJ
ejpam-6602	10	10	finding	find	VERB
ejpam-6602	10	11	optimal	optimal	ADJ
ejpam-6602	10	12	solutions	solution	NOUN
ejpam-6602	10	13	using	use	VERB
ejpam-6602	10	14	exact	exact	ADJ
ejpam-6602	10	15	algorithms	algorithm	NOUN
ejpam-6602	10	16	becomes	become	VERB
ejpam-6602	10	17	computationally	computationally	ADV
ejpam-6602	10	18	infeasible	infeasible	ADJ
ejpam-6602	10	19	as	as	SCONJ
ejpam-6602	10	20	problem	problem	NOUN
ejpam-6602	10	21	size	size	NOUN
ejpam-6602	10	22	increases	increase	VERB
ejpam-6602	10	23	[	[	X
ejpam-6602	10	24	3	3	NUM
ejpam-6602	10	25	]	]	PUNCT
ejpam-6602	10	26	.	.	PUNCT
ejpam-6602	11	1	consequently	consequently	ADV
ejpam-6602	11	2	,	,	PUNCT
ejpam-6602	11	3	heuristic	heuristic	ADJ
ejpam-6602	11	4	and	and	CCONJ
ejpam-6602	11	5	metaheuristic	metaheuristic	ADJ
ejpam-6602	11	6	∗corresponding	∗corresponding	NOUN
ejpam-6602	11	7	author	author	NOUN
ejpam-6602	11	8	.	.	PUNCT
ejpam-6602	12	1	doi	doi	NOUN
ejpam-6602	12	2	:	:	PUNCT
ejpam-6602	12	3	https://doi.org/10.29020/nybg.ejpam.v18i3.6602	https://doi.org/10.29020/nybg.ejpam.v18i3.6602	VERB
ejpam-6602	12	4	email	email	NOUN
ejpam-6602	12	5	addresses	address	NOUN
ejpam-6602	12	6	:	:	PUNCT
ejpam-6602	12	7	kassem.danach@mu.edu.lb	kassem.danach@mu.edu.lb	PROPN
ejpam-6602	12	8	(	(	PUNCT
ejpam-6602	12	9	k.	k.	PROPN
ejpam-6602	12	10	danach	danach	PROPN
ejpam-6602	12	11	)	)	PUNCT
ejpam-6602	12	12	,	,	PUNCT
ejpam-6602	12	13	hassan.harb@aum.edu.kw	hassan.harb@aum.edu.kw	PROPN
ejpam-6602	12	14	(	(	PUNCT
ejpam-6602	12	15	h.	h.	PROPN
ejpam-6602	12	16	harb	harb	PROPN
ejpam-6602	12	17	)	)	PUNCT
ejpam-6602	12	18	,	,	PUNCT
ejpam-6602	12	19	hussin.hejaze@mu.edu.lb	hussin.hejaze@mu.edu.lb	NOUN
ejpam-6602	12	20	(	(	PUNCT
ejpam-6602	12	21	h.	h.	NOUN
ejpam-6602	12	22	hejaze	hejaze	PROPN
ejpam-6602	12	23	)	)	PUNCT
ejpam-6602	12	24	,	,	PUNCT
ejpam-6602	12	25	louai.saker@aum.edu.kw	louai.saker@aum.edu.kw	PROPN
ejpam-6602	12	26	(	(	PUNCT
ejpam-6602	12	27	l.	l.	PROPN
ejpam-6602	12	28	saker	saker	PROPN
ejpam-6602	12	29	)	)	PUNCT
ejpam-6602	12	30	https://www.ejpam.com	https://www.ejpam.com	X
ejpam-6602	13	1	1	1	NUM
ejpam-6602	13	2	copyright	copyright	NOUN
ejpam-6602	13	3	:	:	PUNCT
ejpam-6602	13	4	©	©	PROPN
ejpam-6602	13	5	2025	2025	NUM
ejpam-6602	13	6	the	the	DET
ejpam-6602	13	7	author(s	author(s	NOUN
ejpam-6602	13	8	)	)	PUNCT
ejpam-6602	13	9	.	.	PUNCT
ejpam-6602	14	1	(	(	PUNCT
ejpam-6602	14	2	cc	cc	NOUN
ejpam-6602	14	3	by	by	ADP
ejpam-6602	14	4	-	-	PUNCT
ejpam-6602	14	5	nc	nc	PROPN
ejpam-6602	14	6	4.0	4.0	NUM
ejpam-6602	14	7	)	)	PUNCT
ejpam-6602	14	8	k.	k.	NOUN
ejpam-6602	15	1	danach	danach	PROPN
ejpam-6602	15	2	et	et	PROPN
ejpam-6602	15	3	al	al	PROPN
ejpam-6602	15	4	.	.	PUNCT
ejpam-6602	15	5	/	/	SYM
ejpam-6602	15	6	eur	eur	PROPN
ejpam-6602	15	7	.	.	PUNCT
ejpam-6602	16	1	j.	j.	PROPN
ejpam-6602	16	2	pure	pure	PROPN
ejpam-6602	16	3	appl	appl	PROPN
ejpam-6602	16	4	.	.	PROPN
ejpam-6602	16	5	math	math	PROPN
ejpam-6602	16	6	,	,	PUNCT
ejpam-6602	16	7	18	18	NUM
ejpam-6602	16	8	(	(	PUNCT
ejpam-6602	16	9	3	3	NUM
ejpam-6602	16	10	)	)	PUNCT
ejpam-6602	16	11	(	(	PUNCT
ejpam-6602	16	12	2025	2025	NUM
ejpam-6602	16	13	)	)	PUNCT
ejpam-6602	16	14	,	,	PUNCT
ejpam-6602	16	15	6602	6602	NUM
ejpam-6602	16	16	2	2	NUM
ejpam-6602	16	17	of	of	ADP
ejpam-6602	16	18	37	37	NUM
ejpam-6602	16	19	algorithms	algorithm	NOUN
ejpam-6602	16	20	have	have	AUX
ejpam-6602	16	21	gained	gain	VERB
ejpam-6602	16	22	prominence	prominence	NOUN
ejpam-6602	16	23	as	as	ADP
ejpam-6602	16	24	effective	effective	ADJ
ejpam-6602	16	25	approaches	approach	NOUN
ejpam-6602	16	26	to	to	PART
ejpam-6602	16	27	approximate	approximate	VERB
ejpam-6602	16	28	near	near	ADV
ejpam-6602	16	29	-	-	PUNCT
ejpam-6602	16	30	optimal	optimal	ADJ
ejpam-6602	16	31	solutions	solution	NOUN
ejpam-6602	16	32	in	in	ADP
ejpam-6602	16	33	a	a	DET
ejpam-6602	16	34	reasonable	reasonable	ADJ
ejpam-6602	16	35	time	time	NOUN
ejpam-6602	16	36	frame	frame	NOUN
ejpam-6602	16	37	[	[	X
ejpam-6602	16	38	4	4	NUM
ejpam-6602	16	39	]	]	PUNCT
ejpam-6602	16	40	.	.	PUNCT
ejpam-6602	17	1	metaheuristic	metaheuristic	ADJ
ejpam-6602	17	2	algorithms	algorithm	NOUN
ejpam-6602	17	3	,	,	PUNCT
ejpam-6602	17	4	such	such	ADJ
ejpam-6602	17	5	as	as	ADP
ejpam-6602	17	6	genetic	genetic	ADJ
ejpam-6602	17	7	algorithms	algorithm	NOUN
ejpam-6602	17	8	(	(	PUNCT
ejpam-6602	17	9	ga	ga	NOUN
ejpam-6602	17	10	)	)	PUNCT
ejpam-6602	18	1	[	[	X
ejpam-6602	18	2	5	5	NUM
ejpam-6602	18	3	]	]	PUNCT
ejpam-6602	18	4	,	,	PUNCT
ejpam-6602	18	5	simulated	simulated	ADJ
ejpam-6602	18	6	annealing	annealing	NOUN
ejpam-6602	18	7	(	(	PUNCT
ejpam-6602	18	8	sa	sa	NOUN
ejpam-6602	18	9	)	)	PUNCT
ejpam-6602	19	1	[	[	X
ejpam-6602	19	2	6	6	NUM
ejpam-6602	19	3	]	]	PUNCT
ejpam-6602	19	4	,	,	PUNCT
ejpam-6602	19	5	particle	particle	NOUN
ejpam-6602	19	6	swarm	swarm	NOUN
ejpam-6602	19	7	optimization	optimization	NOUN
ejpam-6602	19	8	(	(	PUNCT
ejpam-6602	19	9	pso	pso	NOUN
ejpam-6602	19	10	)	)	PUNCT
ejpam-6602	20	1	[	[	X
ejpam-6602	20	2	7	7	NUM
ejpam-6602	20	3	]	]	PUNCT
ejpam-6602	20	4	,	,	PUNCT
ejpam-6602	20	5	and	and	CCONJ
ejpam-6602	20	6	ant	ant	ADJ
ejpam-6602	20	7	colony	colony	NOUN
ejpam-6602	20	8	optimization	optimization	NOUN
ejpam-6602	20	9	(	(	PUNCT
ejpam-6602	20	10	aco	aco	PROPN
ejpam-6602	20	11	)	)	PUNCT
ejpam-6602	21	1	[	[	X
ejpam-6602	21	2	8	8	NUM
ejpam-6602	21	3	]	]	PUNCT
ejpam-6602	21	4	,	,	PUNCT
ejpam-6602	21	5	have	have	AUX
ejpam-6602	21	6	demonstrated	demonstrate	VERB
ejpam-6602	21	7	significant	significant	ADJ
ejpam-6602	21	8	success	success	NOUN
ejpam-6602	21	9	in	in	ADP
ejpam-6602	21	10	solving	solve	VERB
ejpam-6602	21	11	large	large	ADJ
ejpam-6602	21	12	-	-	PUNCT
ejpam-6602	21	13	scale	scale	NOUN
ejpam-6602	21	14	optimization	optimization	NOUN
ejpam-6602	21	15	problems	problem	NOUN
ejpam-6602	21	16	.	.	PUNCT
ejpam-6602	22	1	these	these	DET
ejpam-6602	22	2	techniques	technique	NOUN
ejpam-6602	22	3	employ	employ	VERB
ejpam-6602	22	4	various	various	ADJ
ejpam-6602	22	5	mechanisms	mechanism	NOUN
ejpam-6602	22	6	to	to	PART
ejpam-6602	22	7	balance	balance	VERB
ejpam-6602	22	8	exploration	exploration	NOUN
ejpam-6602	22	9	(	(	PUNCT
ejpam-6602	22	10	global	global	ADJ
ejpam-6602	22	11	search	search	NOUN
ejpam-6602	22	12	)	)	PUNCT
ejpam-6602	22	13	and	and	CCONJ
ejpam-6602	22	14	exploitation	exploitation	NOUN
ejpam-6602	22	15	(	(	PUNCT
ejpam-6602	22	16	local	local	ADJ
ejpam-6602	22	17	refinement	refinement	NOUN
ejpam-6602	22	18	)	)	PUNCT
ejpam-6602	23	1	[	[	X
ejpam-6602	23	2	9	9	NUM
ejpam-6602	23	3	]	]	PUNCT
ejpam-6602	23	4	.	.	PUNCT
ejpam-6602	24	1	however	however	ADV
ejpam-6602	24	2	,	,	PUNCT
ejpam-6602	24	3	their	their	PRON
ejpam-6602	24	4	effectiveness	effectiveness	NOUN
ejpam-6602	24	5	is	be	AUX
ejpam-6602	24	6	often	often	ADV
ejpam-6602	24	7	limited	limit	VERB
ejpam-6602	24	8	by	by	ADP
ejpam-6602	24	9	the	the	DET
ejpam-6602	24	10	requirement	requirement	NOUN
ejpam-6602	24	11	for	for	ADP
ejpam-6602	24	12	careful	careful	ADJ
ejpam-6602	24	13	parameter	parameter	NOUN
ejpam-6602	24	14	tuning	tuning	NOUN
ejpam-6602	24	15	and	and	CCONJ
ejpam-6602	24	16	their	their	PRON
ejpam-6602	24	17	susceptibility	susceptibility	NOUN
ejpam-6602	24	18	to	to	PART
ejpam-6602	24	19	premature	premature	VERB
ejpam-6602	24	20	convergence	convergence	NOUN
ejpam-6602	24	21	[	[	X
ejpam-6602	24	22	10	10	NUM
ejpam-6602	24	23	,	,	PUNCT
ejpam-6602	24	24	11	11	NUM
ejpam-6602	24	25	]	]	PUNCT
ejpam-6602	24	26	.	.	PUNCT
ejpam-6602	25	1	recent	recent	ADJ
ejpam-6602	25	2	advances	advance	NOUN
ejpam-6602	25	3	in	in	ADP
ejpam-6602	25	4	hybrid	hybrid	ADJ
ejpam-6602	25	5	metaheuristic	metaheuristic	ADJ
ejpam-6602	25	6	frameworks	framework	NOUN
ejpam-6602	25	7	have	have	AUX
ejpam-6602	25	8	shown	show	VERB
ejpam-6602	25	9	substantial	substantial	ADJ
ejpam-6602	25	10	promise	promise	NOUN
ejpam-6602	25	11	in	in	ADP
ejpam-6602	25	12	overcoming	overcome	VERB
ejpam-6602	25	13	these	these	DET
ejpam-6602	25	14	limitations	limitation	NOUN
ejpam-6602	25	15	by	by	ADP
ejpam-6602	25	16	integrating	integrate	VERB
ejpam-6602	25	17	multiple	multiple	ADJ
ejpam-6602	25	18	optimization	optimization	NOUN
ejpam-6602	25	19	strategies	strategy	NOUN
ejpam-6602	25	20	into	into	ADP
ejpam-6602	25	21	unified	unified	ADJ
ejpam-6602	25	22	and	and	CCONJ
ejpam-6602	25	23	adaptive	adaptive	ADJ
ejpam-6602	25	24	systems	system	NOUN
ejpam-6602	25	25	[	[	X
ejpam-6602	25	26	12	12	NUM
ejpam-6602	25	27	,	,	PUNCT
ejpam-6602	25	28	13	13	NUM
ejpam-6602	25	29	]	]	PUNCT
ejpam-6602	25	30	.	.	PUNCT
ejpam-6602	26	1	particularly	particularly	ADV
ejpam-6602	26	2	,	,	PUNCT
ejpam-6602	26	3	the	the	DET
ejpam-6602	26	4	incorporation	incorporation	NOUN
ejpam-6602	26	5	of	of	ADP
ejpam-6602	26	6	reinforcement	reinforcement	NOUN
ejpam-6602	26	7	learning	learning	NOUN
ejpam-6602	26	8	(	(	PUNCT
ejpam-6602	26	9	rl	rl	NOUN
ejpam-6602	26	10	)	)	PUNCT
ejpam-6602	26	11	enables	enable	VERB
ejpam-6602	26	12	dynamic	dynamic	ADJ
ejpam-6602	26	13	parameter	parameter	NOUN
ejpam-6602	26	14	adaptation	adaptation	NOUN
ejpam-6602	26	15	and	and	CCONJ
ejpam-6602	26	16	algorithm	algorithm	NOUN
ejpam-6602	26	17	configuration	configuration	NOUN
ejpam-6602	26	18	,	,	PUNCT
ejpam-6602	26	19	resulting	result	VERB
ejpam-6602	26	20	in	in	ADP
ejpam-6602	26	21	more	more	ADV
ejpam-6602	26	22	efficient	efficient	ADJ
ejpam-6602	26	23	search	search	NOUN
ejpam-6602	26	24	and	and	CCONJ
ejpam-6602	26	25	better	well	ADJ
ejpam-6602	26	26	solution	solution	NOUN
ejpam-6602	26	27	quality	quality	NOUN
ejpam-6602	26	28	[	[	X
ejpam-6602	26	29	14–17	14–17	NUM
ejpam-6602	26	30	]	]	PUNCT
ejpam-6602	26	31	.	.	PUNCT
ejpam-6602	27	1	these	these	DET
ejpam-6602	27	2	rl	rl	NOUN
ejpam-6602	27	3	-	-	PUNCT
ejpam-6602	27	4	based	base	VERB
ejpam-6602	27	5	hybrid	hybrid	ADJ
ejpam-6602	27	6	metaheuristics	metaheuristic	NOUN
ejpam-6602	27	7	facilitate	facilitate	VERB
ejpam-6602	27	8	automated	automate	VERB
ejpam-6602	27	9	learning	learning	NOUN
ejpam-6602	27	10	of	of	ADP
ejpam-6602	27	11	strategy	strategy	NOUN
ejpam-6602	27	12	selection	selection	NOUN
ejpam-6602	27	13	and	and	CCONJ
ejpam-6602	27	14	parameter	parameter	NOUN
ejpam-6602	27	15	control	control	NOUN
ejpam-6602	27	16	during	during	ADP
ejpam-6602	27	17	run	run	NOUN
ejpam-6602	27	18	-	-	PUNCT
ejpam-6602	27	19	time	time	NOUN
ejpam-6602	27	20	,	,	PUNCT
ejpam-6602	27	21	significantly	significantly	ADV
ejpam-6602	27	22	reducing	reduce	VERB
ejpam-6602	27	23	the	the	DET
ejpam-6602	27	24	reliance	reliance	NOUN
ejpam-6602	27	25	on	on	ADP
ejpam-6602	27	26	manual	manual	ADJ
ejpam-6602	27	27	tuning	tuning	NOUN
ejpam-6602	27	28	and	and	CCONJ
ejpam-6602	27	29	increasing	increase	VERB
ejpam-6602	27	30	generalizability	generalizability	NOUN
ejpam-6602	27	31	across	across	ADP
ejpam-6602	27	32	diverse	diverse	ADJ
ejpam-6602	27	33	problem	problem	NOUN
ejpam-6602	27	34	domains	domain	NOUN
ejpam-6602	27	35	[	[	X
ejpam-6602	27	36	18–20	18–20	NUM
ejpam-6602	27	37	]	]	PUNCT
ejpam-6602	27	38	.	.	PUNCT
ejpam-6602	28	1	moreover	moreover	ADV
ejpam-6602	28	2	,	,	PUNCT
ejpam-6602	28	3	enhanced	enhanced	ADJ
ejpam-6602	28	4	computational	computational	ADJ
ejpam-6602	28	5	efficiency	efficiency	NOUN
ejpam-6602	28	6	and	and	CCONJ
ejpam-6602	28	7	scalability	scalability	NOUN
ejpam-6602	28	8	have	have	AUX
ejpam-6602	28	9	been	be	AUX
ejpam-6602	28	10	demonstrated	demonstrate	VERB
ejpam-6602	28	11	on	on	ADP
ejpam-6602	28	12	large	large	ADJ
ejpam-6602	28	13	-	-	PUNCT
ejpam-6602	28	14	scale	scale	NOUN
ejpam-6602	28	15	combinatorial	combinatorial	ADJ
ejpam-6602	28	16	problems	problem	NOUN
ejpam-6602	28	17	,	,	PUNCT
ejpam-6602	28	18	such	such	ADJ
ejpam-6602	28	19	as	as	ADP
ejpam-6602	28	20	vehicle	vehicle	NOUN
ejpam-6602	28	21	routing	routing	NOUN
ejpam-6602	28	22	,	,	PUNCT
ejpam-6602	28	23	scheduling	scheduling	NOUN
ejpam-6602	28	24	,	,	PUNCT
ejpam-6602	28	25	and	and	CCONJ
ejpam-6602	28	26	network	network	NOUN
ejpam-6602	28	27	design	design	NOUN
ejpam-6602	28	28	,	,	PUNCT
ejpam-6602	28	29	by	by	ADP
ejpam-6602	28	30	leveraging	leverage	VERB
ejpam-6602	28	31	multi	multi	ADJ
ejpam-6602	28	32	-	-	ADJ
ejpam-6602	28	33	strategy	strategy	ADJ
ejpam-6602	28	34	frameworks	framework	NOUN
ejpam-6602	28	35	combined	combine	VERB
ejpam-6602	28	36	with	with	ADP
ejpam-6602	28	37	deep	deep	ADJ
ejpam-6602	28	38	reinforcement	reinforcement	NOUN
ejpam-6602	28	39	learning	learning	NOUN
ejpam-6602	28	40	techniques	technique	NOUN
ejpam-6602	28	41	[	[	X
ejpam-6602	28	42	16	16	NUM
ejpam-6602	28	43	,	,	PUNCT
ejpam-6602	28	44	17	17	NUM
ejpam-6602	28	45	,	,	PUNCT
ejpam-6602	28	46	19	19	NUM
ejpam-6602	28	47	]	]	PUNCT
ejpam-6602	28	48	.	.	PUNCT
ejpam-6602	29	1	despite	despite	SCONJ
ejpam-6602	29	2	these	these	DET
ejpam-6602	29	3	advances	advance	NOUN
ejpam-6602	29	4	,	,	PUNCT
ejpam-6602	29	5	several	several	ADJ
ejpam-6602	29	6	research	research	NOUN
ejpam-6602	29	7	gaps	gap	NOUN
ejpam-6602	29	8	remain	remain	VERB
ejpam-6602	29	9	:	:	PUNCT
ejpam-6602	29	10	•	•	SCONJ
ejpam-6602	29	11	many	many	ADJ
ejpam-6602	29	12	existing	exist	VERB
ejpam-6602	29	13	hybrid	hybrid	ADJ
ejpam-6602	29	14	approaches	approach	NOUN
ejpam-6602	29	15	rely	rely	VERB
ejpam-6602	29	16	on	on	ADP
ejpam-6602	29	17	predefined	predefine	VERB
ejpam-6602	29	18	algorithmic	algorithmic	ADJ
ejpam-6602	29	19	rules	rule	NOUN
ejpam-6602	29	20	,	,	PUNCT
ejpam-6602	29	21	limiting	limit	VERB
ejpam-6602	29	22	their	their	PRON
ejpam-6602	29	23	adaptability	adaptability	NOUN
ejpam-6602	29	24	across	across	ADP
ejpam-6602	29	25	diverse	diverse	ADJ
ejpam-6602	29	26	problem	problem	NOUN
ejpam-6602	29	27	domains	domain	NOUN
ejpam-6602	29	28	[	[	X
ejpam-6602	29	29	21	21	NUM
ejpam-6602	29	30	]	]	PUNCT
ejpam-6602	29	31	.	.	PUNCT
ejpam-6602	30	1	•	•	NUM
ejpam-6602	30	2	parameter	parameter	NOUN
ejpam-6602	30	3	tuning	tuning	NOUN
ejpam-6602	30	4	remains	remain	VERB
ejpam-6602	30	5	a	a	DET
ejpam-6602	30	6	significant	significant	ADJ
ejpam-6602	30	7	bottleneck	bottleneck	NOUN
ejpam-6602	30	8	,	,	PUNCT
ejpam-6602	30	9	often	often	ADV
ejpam-6602	30	10	requiring	require	VERB
ejpam-6602	30	11	expert	expert	ADJ
ejpam-6602	30	12	knowledge	knowledge	NOUN
ejpam-6602	30	13	and	and	CCONJ
ejpam-6602	30	14	extensive	extensive	ADJ
ejpam-6602	30	15	experimentation	experimentation	NOUN
ejpam-6602	30	16	[	[	X
ejpam-6602	30	17	22	22	NUM
ejpam-6602	30	18	]	]	PUNCT
ejpam-6602	30	19	.	.	PUNCT
ejpam-6602	31	1	•	•	NUM
ejpam-6602	31	2	computational	computational	ADJ
ejpam-6602	31	3	efficiency	efficiency	NOUN
ejpam-6602	31	4	in	in	ADP
ejpam-6602	31	5	large	large	ADJ
ejpam-6602	31	6	-	-	PUNCT
ejpam-6602	31	7	scale	scale	NOUN
ejpam-6602	31	8	problems	problem	NOUN
ejpam-6602	31	9	remains	remain	VERB
ejpam-6602	31	10	an	an	DET
ejpam-6602	31	11	open	open	ADJ
ejpam-6602	31	12	challenge	challenge	NOUN
ejpam-6602	31	13	,	,	PUNCT
ejpam-6602	31	14	as	as	SCONJ
ejpam-6602	31	15	hybridization	hybridization	NOUN
ejpam-6602	31	16	often	often	ADV
ejpam-6602	31	17	introduces	introduce	VERB
ejpam-6602	31	18	additional	additional	ADJ
ejpam-6602	31	19	complexity	complexity	NOUN
ejpam-6602	31	20	[	[	X
ejpam-6602	31	21	23	23	NUM
ejpam-6602	31	22	]	]	PUNCT
ejpam-6602	31	23	.	.	PUNCT
ejpam-6602	32	1	•	•	NUM
ejpam-6602	32	2	the	the	DET
ejpam-6602	32	3	generalization	generalization	NOUN
ejpam-6602	32	4	of	of	ADP
ejpam-6602	32	5	rl	rl	NOUN
ejpam-6602	32	6	-	-	PUNCT
ejpam-6602	32	7	based	base	VERB
ejpam-6602	32	8	adaptive	adaptive	ADJ
ejpam-6602	32	9	metaheuristics	metaheuristic	NOUN
ejpam-6602	32	10	across	across	ADP
ejpam-6602	32	11	heterogeneous	heterogeneous	ADJ
ejpam-6602	32	12	problem	problem	NOUN
ejpam-6602	32	13	settings	setting	NOUN
ejpam-6602	32	14	and	and	CCONJ
ejpam-6602	32	15	the	the	DET
ejpam-6602	32	16	mitigation	mitigation	NOUN
ejpam-6602	32	17	of	of	ADP
ejpam-6602	32	18	computational	computational	ADJ
ejpam-6602	32	19	overhead	overhead	NOUN
ejpam-6602	32	20	from	from	ADP
ejpam-6602	32	21	complex	complex	ADJ
ejpam-6602	32	22	hybrid	hybrid	ADJ
ejpam-6602	32	23	models	model	NOUN
ejpam-6602	32	24	require	require	VERB
ejpam-6602	32	25	further	further	ADJ
ejpam-6602	32	26	exploration	exploration	NOUN
ejpam-6602	32	27	[	[	X
ejpam-6602	32	28	15	15	NUM
ejpam-6602	32	29	,	,	PUNCT
ejpam-6602	32	30	16	16	NUM
ejpam-6602	32	31	]	]	PUNCT
ejpam-6602	32	32	.	.	PUNCT
ejpam-6602	33	1	to	to	PART
ejpam-6602	33	2	address	address	VERB
ejpam-6602	33	3	these	these	DET
ejpam-6602	33	4	limitations	limitation	NOUN
ejpam-6602	33	5	,	,	PUNCT
ejpam-6602	33	6	this	this	DET
ejpam-6602	33	7	paper	paper	NOUN
ejpam-6602	33	8	proposes	propose	VERB
ejpam-6602	33	9	a	a	DET
ejpam-6602	33	10	novel	novel	ADJ
ejpam-6602	33	11	hybrid	hybrid	ADJ
ejpam-6602	33	12	metaheuristic	metaheuristic	ADJ
ejpam-6602	33	13	framework	framework	NOUN
ejpam-6602	33	14	(	(	PUNCT
ejpam-6602	33	15	hmf	hmf	PROPN
ejpam-6602	33	16	)	)	PUNCT
ejpam-6602	33	17	that	that	PRON
ejpam-6602	33	18	integrates	integrate	VERB
ejpam-6602	33	19	multiple	multiple	ADJ
ejpam-6602	33	20	optimization	optimization	NOUN
ejpam-6602	33	21	strategies	strategy	NOUN
ejpam-6602	33	22	within	within	ADP
ejpam-6602	33	23	a	a	DET
ejpam-6602	33	24	self	self	NOUN
ejpam-6602	33	25	-	-	PUNCT
ejpam-6602	33	26	adaptive	adaptive	ADJ
ejpam-6602	33	27	mechanism	mechanism	NOUN
ejpam-6602	33	28	.	.	PUNCT
ejpam-6602	34	1	the	the	DET
ejpam-6602	34	2	key	key	ADJ
ejpam-6602	34	3	contributions	contribution	NOUN
ejpam-6602	34	4	of	of	ADP
ejpam-6602	34	5	this	this	DET
ejpam-6602	34	6	study	study	NOUN
ejpam-6602	34	7	include	include	VERB
ejpam-6602	34	8	:	:	PUNCT
ejpam-6602	34	9	(	(	PUNCT
ejpam-6602	34	10	i	i	NOUN
ejpam-6602	34	11	)	)	PUNCT
ejpam-6602	34	12	a	a	DET
ejpam-6602	34	13	self	self	NOUN
ejpam-6602	34	14	-	-	PUNCT
ejpam-6602	34	15	adaptive	adaptive	ADJ
ejpam-6602	34	16	multi	multi	ADJ
ejpam-6602	34	17	-	-	ADJ
ejpam-6602	34	18	strategy	strategy	ADJ
ejpam-6602	34	19	metaheuristic	metaheuristic	NOUN
ejpam-6602	34	20	that	that	PRON
ejpam-6602	34	21	dynamically	dynamically	ADV
ejpam-6602	34	22	selects	select	NOUN
ejpam-6602	34	23	and	and	CCONJ
ejpam-6602	34	24	combines	combine	VERB
ejpam-6602	34	25	multiple	multiple	ADJ
ejpam-6602	34	26	optimization	optimization	NOUN
ejpam-6602	34	27	techniques	technique	NOUN
ejpam-6602	34	28	based	base	VERB
ejpam-6602	34	29	on	on	ADP
ejpam-6602	34	30	real	real	ADJ
ejpam-6602	34	31	-	-	PUNCT
ejpam-6602	34	32	time	time	NOUN
ejpam-6602	34	33	performance	performance	NOUN
ejpam-6602	34	34	feedback	feedback	NOUN
ejpam-6602	34	35	.	.	PUNCT
ejpam-6602	35	1	(	(	PUNCT
ejpam-6602	35	2	ii	ii	NOUN
ejpam-6602	35	3	)	)	PUNCT
ejpam-6602	35	4	a	a	DET
ejpam-6602	35	5	reinforcement	reinforcement	NOUN
ejpam-6602	35	6	learning	learning	NOUN
ejpam-6602	35	7	-	-	PUNCT
ejpam-6602	35	8	based	base	VERB
ejpam-6602	35	9	parameter	parameter	NOUN
ejpam-6602	35	10	tuning	tuning	NOUN
ejpam-6602	35	11	mechanism	mechanism	NOUN
ejpam-6602	35	12	that	that	PRON
ejpam-6602	35	13	autonomously	autonomously	ADV
ejpam-6602	35	14	adjusts	adjust	VERB
ejpam-6602	35	15	key	key	ADJ
ejpam-6602	35	16	algorithmic	algorithmic	ADJ
ejpam-6602	35	17	parameters	parameter	NOUN
ejpam-6602	35	18	to	to	PART
ejpam-6602	35	19	enhance	enhance	VERB
ejpam-6602	35	20	adaptability	adaptability	NOUN
ejpam-6602	35	21	.	.	PUNCT
ejpam-6602	36	1	(	(	PUNCT
ejpam-6602	36	2	iii	iii	X
ejpam-6602	36	3	)	)	PUNCT
ejpam-6602	36	4	an	an	DET
ejpam-6602	36	5	efficient	efficient	ADJ
ejpam-6602	36	6	parallel	parallel	ADJ
ejpam-6602	36	7	computing	compute	VERB
ejpam-6602	36	8	implementation	implementation	NOUN
ejpam-6602	36	9	to	to	PART
ejpam-6602	36	10	improve	improve	VERB
ejpam-6602	36	11	scalability	scalability	NOUN
ejpam-6602	36	12	for	for	ADP
ejpam-6602	36	13	large	large	ADJ
ejpam-6602	36	14	-	-	PUNCT
ejpam-6602	36	15	scale	scale	NOUN
ejpam-6602	36	16	combinatorial	combinatorial	ADJ
ejpam-6602	36	17	problems	problem	NOUN
ejpam-6602	36	18	.	.	PUNCT
ejpam-6602	37	1	k.	k.	PROPN
ejpam-6602	37	2	danach	danach	PROPN
ejpam-6602	37	3	et	et	PROPN
ejpam-6602	37	4	al	al	PROPN
ejpam-6602	37	5	.	.	PUNCT
ejpam-6602	37	6	/	/	SYM
ejpam-6602	37	7	eur	eur	PROPN
ejpam-6602	37	8	.	.	PUNCT
ejpam-6602	38	1	j.	j.	PROPN
ejpam-6602	38	2	pure	pure	PROPN
ejpam-6602	38	3	appl	appl	PROPN
ejpam-6602	38	4	.	.	PROPN
ejpam-6602	38	5	math	math	PROPN
ejpam-6602	38	6	,	,	PUNCT
ejpam-6602	38	7	18	18	NUM
ejpam-6602	38	8	(	(	PUNCT
ejpam-6602	38	9	3	3	NUM
ejpam-6602	38	10	)	)	PUNCT
ejpam-6602	38	11	(	(	PUNCT
ejpam-6602	38	12	2025	2025	NUM
ejpam-6602	38	13	)	)	PUNCT
ejpam-6602	38	14	,	,	PUNCT
ejpam-6602	38	15	6602	6602	NUM
ejpam-6602	38	16	3	3	NUM
ejpam-6602	38	17	of	of	ADP
ejpam-6602	38	18	37	37	NUM
ejpam-6602	38	19	(	(	PUNCT
ejpam-6602	38	20	iv	iv	X
ejpam-6602	38	21	)	)	PUNCT
ejpam-6602	38	22	comprehensive	comprehensive	ADJ
ejpam-6602	38	23	benchmarking	benchmarking	NOUN
ejpam-6602	38	24	against	against	ADP
ejpam-6602	38	25	state	state	NOUN
ejpam-6602	38	26	-	-	PUNCT
ejpam-6602	38	27	of	of	ADP
ejpam-6602	38	28	-	-	PUNCT
ejpam-6602	38	29	the	the	DET
ejpam-6602	38	30	-	-	PUNCT
ejpam-6602	38	31	art	art	NOUN
ejpam-6602	38	32	metaheuristics	metaheuristic	NOUN
ejpam-6602	38	33	across	across	ADP
ejpam-6602	38	34	multiple	multiple	ADJ
ejpam-6602	38	35	combinatorial	combinatorial	ADJ
ejpam-6602	38	36	problems	problem	NOUN
ejpam-6602	38	37	,	,	PUNCT
ejpam-6602	38	38	including	include	VERB
ejpam-6602	38	39	the	the	DET
ejpam-6602	38	40	vehicle	vehicle	NOUN
ejpam-6602	38	41	routing	routing	NOUN
ejpam-6602	38	42	problem	problem	NOUN
ejpam-6602	38	43	(	(	PUNCT
ejpam-6602	38	44	vrp	vrp	NOUN
ejpam-6602	38	45	)	)	PUNCT
ejpam-6602	38	46	,	,	PUNCT
ejpam-6602	38	47	facility	facility	NOUN
ejpam-6602	38	48	location	location	NOUN
ejpam-6602	38	49	problem	problem	NOUN
ejpam-6602	38	50	(	(	PUNCT
ejpam-6602	38	51	flp	flp	NOUN
ejpam-6602	38	52	)	)	PUNCT
ejpam-6602	38	53	,	,	PUNCT
ejpam-6602	38	54	and	and	CCONJ
ejpam-6602	38	55	job	job	NOUN
ejpam-6602	38	56	scheduling	scheduling	NOUN
ejpam-6602	38	57	problem	problem	NOUN
ejpam-6602	38	58	(	(	PUNCT
ejpam-6602	38	59	jsp	jsp	PROPN
ejpam-6602	38	60	)	)	PUNCT
ejpam-6602	38	61	.	.	PUNCT
ejpam-6602	39	1	the	the	DET
ejpam-6602	39	2	rest	rest	NOUN
ejpam-6602	39	3	of	of	ADP
ejpam-6602	39	4	the	the	DET
ejpam-6602	39	5	paper	paper	NOUN
ejpam-6602	39	6	is	be	AUX
ejpam-6602	39	7	organized	organize	VERB
ejpam-6602	39	8	as	as	SCONJ
ejpam-6602	39	9	follows	follow	VERB
ejpam-6602	39	10	:	:	PUNCT
ejpam-6602	39	11	section	section	PROPN
ejpam-6602	39	12	ii	ii	PROPN
ejpam-6602	39	13	presents	present	VERB
ejpam-6602	39	14	a	a	DET
ejpam-6602	39	15	detailed	detailed	ADJ
ejpam-6602	39	16	review	review	NOUN
ejpam-6602	39	17	of	of	ADP
ejpam-6602	39	18	related	related	ADJ
ejpam-6602	39	19	work	work	NOUN
ejpam-6602	39	20	.	.	PUNCT
ejpam-6602	40	1	section	section	NOUN
ejpam-6602	40	2	iii	iii	PROPN
ejpam-6602	40	3	describes	describe	VERB
ejpam-6602	40	4	the	the	DET
ejpam-6602	40	5	proposed	propose	VERB
ejpam-6602	40	6	methodology	methodology	NOUN
ejpam-6602	40	7	,	,	PUNCT
ejpam-6602	40	8	including	include	VERB
ejpam-6602	40	9	the	the	DET
ejpam-6602	40	10	hybrid	hybrid	ADJ
ejpam-6602	40	11	metaheuristic	metaheuristic	ADJ
ejpam-6602	40	12	framework	framework	NOUN
ejpam-6602	40	13	and	and	CCONJ
ejpam-6602	40	14	reinforcement	reinforcement	NOUN
ejpam-6602	40	15	learning	learning	NOUN
ejpam-6602	40	16	integration	integration	NOUN
ejpam-6602	40	17	.	.	PUNCT
ejpam-6602	41	1	section	section	NOUN
ejpam-6602	41	2	iv	iv	NUM
ejpam-6602	41	3	discusses	discuss	VERB
ejpam-6602	41	4	experimental	experimental	ADJ
ejpam-6602	41	5	design	design	NOUN
ejpam-6602	41	6	and	and	CCONJ
ejpam-6602	41	7	benchmark	benchmark	NOUN
ejpam-6602	41	8	datasets	dataset	NOUN
ejpam-6602	41	9	.	.	PUNCT
ejpam-6602	42	1	section	section	NOUN
ejpam-6602	42	2	v	v	NOUN
ejpam-6602	42	3	presents	present	NOUN
ejpam-6602	42	4	results	result	NOUN
ejpam-6602	42	5	and	and	CCONJ
ejpam-6602	42	6	comparative	comparative	ADJ
ejpam-6602	42	7	analyses	analysis	NOUN
ejpam-6602	42	8	.	.	PUNCT
ejpam-6602	43	1	finally	finally	ADV
ejpam-6602	43	2	,	,	PUNCT
ejpam-6602	43	3	section	section	NOUN
ejpam-6602	43	4	vi	vi	PROPN
ejpam-6602	43	5	concludes	conclude	VERB
ejpam-6602	43	6	the	the	DET
ejpam-6602	43	7	study	study	NOUN
ejpam-6602	43	8	and	and	CCONJ
ejpam-6602	43	9	outlines	outline	VERB
ejpam-6602	43	10	future	future	ADJ
ejpam-6602	43	11	research	research	NOUN
ejpam-6602	43	12	directions	direction	NOUN
ejpam-6602	43	13	.	.	PUNCT
ejpam-6602	44	1	2	2	X
ejpam-6602	44	2	.	.	X
ejpam-6602	44	3	objective	objective	NOUN
ejpam-6602	44	4	,	,	PUNCT
ejpam-6602	44	5	research	research	NOUN
ejpam-6602	44	6	questions	question	NOUN
ejpam-6602	44	7	,	,	PUNCT
ejpam-6602	44	8	and	and	CCONJ
ejpam-6602	44	9	hypothesis	hypothesis	VERB
ejpam-6602	44	10	the	the	DET
ejpam-6602	44	11	complexity	complexity	NOUN
ejpam-6602	44	12	of	of	ADP
ejpam-6602	44	13	combinatorial	combinatorial	ADJ
ejpam-6602	44	14	optimization	optimization	NOUN
ejpam-6602	44	15	problems	problem	NOUN
ejpam-6602	44	16	(	(	PUNCT
ejpam-6602	44	17	cops	cop	NOUN
ejpam-6602	44	18	)	)	PUNCT
ejpam-6602	44	19	has	have	AUX
ejpam-6602	44	20	significantly	significantly	ADV
ejpam-6602	44	21	increased	increase	VERB
ejpam-6602	44	22	due	due	ADP
ejpam-6602	44	23	to	to	ADP
ejpam-6602	44	24	the	the	DET
ejpam-6602	44	25	rapid	rapid	ADJ
ejpam-6602	44	26	growth	growth	NOUN
ejpam-6602	44	27	of	of	ADP
ejpam-6602	44	28	real	real	ADJ
ejpam-6602	44	29	-	-	PUNCT
ejpam-6602	44	30	world	world	NOUN
ejpam-6602	44	31	applications	application	NOUN
ejpam-6602	44	32	such	such	ADJ
ejpam-6602	44	33	as	as	ADP
ejpam-6602	44	34	logistics	logistic	NOUN
ejpam-6602	44	35	,	,	PUNCT
ejpam-6602	44	36	manufacturing	manufacturing	NOUN
ejpam-6602	44	37	,	,	PUNCT
ejpam-6602	44	38	and	and	CCONJ
ejpam-6602	44	39	telecommunications	telecommunication	NOUN
ejpam-6602	44	40	.	.	PUNCT
ejpam-6602	45	1	these	these	DET
ejpam-6602	45	2	problems	problem	NOUN
ejpam-6602	45	3	,	,	PUNCT
ejpam-6602	45	4	including	include	VERB
ejpam-6602	45	5	the	the	DET
ejpam-6602	45	6	vehicle	vehicle	NOUN
ejpam-6602	45	7	routing	routing	NOUN
ejpam-6602	45	8	problem	problem	NOUN
ejpam-6602	45	9	(	(	PUNCT
ejpam-6602	45	10	vrp	vrp	NOUN
ejpam-6602	45	11	)	)	PUNCT
ejpam-6602	45	12	,	,	PUNCT
ejpam-6602	45	13	the	the	DET
ejpam-6602	45	14	facility	facility	NOUN
ejpam-6602	45	15	location	location	NOUN
ejpam-6602	45	16	problem	problem	NOUN
ejpam-6602	45	17	(	(	PUNCT
ejpam-6602	45	18	flp	flp	NOUN
ejpam-6602	45	19	)	)	PUNCT
ejpam-6602	45	20	,	,	PUNCT
ejpam-6602	45	21	and	and	CCONJ
ejpam-6602	45	22	the	the	DET
ejpam-6602	45	23	job	job	NOUN
ejpam-6602	45	24	scheduling	scheduling	NOUN
ejpam-6602	45	25	problem	problem	NOUN
ejpam-6602	45	26	(	(	PUNCT
ejpam-6602	45	27	jsp	jsp	PROPN
ejpam-6602	45	28	)	)	PUNCT
ejpam-6602	45	29	,	,	PUNCT
ejpam-6602	45	30	often	often	ADV
ejpam-6602	45	31	involve	involve	VERB
ejpam-6602	45	32	searching	search	VERB
ejpam-6602	45	33	for	for	ADP
ejpam-6602	45	34	optimal	optimal	ADJ
ejpam-6602	45	35	solutions	solution	NOUN
ejpam-6602	45	36	in	in	ADP
ejpam-6602	45	37	vast	vast	ADJ
ejpam-6602	45	38	solution	solution	NOUN
ejpam-6602	45	39	spaces	space	NOUN
ejpam-6602	45	40	,	,	PUNCT
ejpam-6602	45	41	where	where	SCONJ
ejpam-6602	45	42	exact	exact	ADJ
ejpam-6602	45	43	algorithms	algorithm	NOUN
ejpam-6602	45	44	become	become	VERB
ejpam-6602	45	45	computationally	computationally	ADV
ejpam-6602	45	46	infeasible	infeasible	ADJ
ejpam-6602	45	47	for	for	ADP
ejpam-6602	45	48	large	large	ADJ
ejpam-6602	45	49	-	-	PUNCT
ejpam-6602	45	50	scale	scale	NOUN
ejpam-6602	45	51	instances	instance	NOUN
ejpam-6602	45	52	.	.	PUNCT
ejpam-6602	46	1	traditional	traditional	ADJ
ejpam-6602	46	2	metaheuristic	metaheuristic	ADJ
ejpam-6602	46	3	algorithms	algorithm	NOUN
ejpam-6602	46	4	,	,	PUNCT
ejpam-6602	46	5	such	such	ADJ
ejpam-6602	46	6	as	as	ADP
ejpam-6602	46	7	genetic	genetic	ADJ
ejpam-6602	46	8	algorithms	algorithm	NOUN
ejpam-6602	46	9	(	(	PUNCT
ejpam-6602	46	10	ga	ga	NOUN
ejpam-6602	46	11	)	)	PUNCT
ejpam-6602	46	12	,	,	PUNCT
ejpam-6602	46	13	simulated	simulate	VERB
ejpam-6602	46	14	annealing	annealing	NOUN
ejpam-6602	46	15	(	(	PUNCT
ejpam-6602	46	16	sa	sa	PROPN
ejpam-6602	46	17	)	)	PUNCT
ejpam-6602	46	18	,	,	PUNCT
ejpam-6602	46	19	ant	ant	ADJ
ejpam-6602	46	20	colony	colony	NOUN
ejpam-6602	46	21	optimization	optimization	NOUN
ejpam-6602	46	22	(	(	PUNCT
ejpam-6602	46	23	aco	aco	PROPN
ejpam-6602	46	24	)	)	PUNCT
ejpam-6602	46	25	,	,	PUNCT
ejpam-6602	46	26	and	and	CCONJ
ejpam-6602	46	27	particle	particle	NOUN
ejpam-6602	46	28	swarm	swarm	NOUN
ejpam-6602	46	29	optimization	optimization	NOUN
ejpam-6602	46	30	(	(	PUNCT
ejpam-6602	46	31	pso	pso	NOUN
ejpam-6602	46	32	)	)	PUNCT
ejpam-6602	46	33	,	,	PUNCT
ejpam-6602	46	34	have	have	AUX
ejpam-6602	46	35	shown	show	VERB
ejpam-6602	46	36	promise	promise	NOUN
ejpam-6602	46	37	in	in	ADP
ejpam-6602	46	38	solving	solve	VERB
ejpam-6602	46	39	these	these	DET
ejpam-6602	46	40	problems	problem	NOUN
ejpam-6602	46	41	.	.	PUNCT
ejpam-6602	47	1	however	however	ADV
ejpam-6602	47	2	,	,	PUNCT
ejpam-6602	47	3	their	their	PRON
ejpam-6602	47	4	performance	performance	NOUN
ejpam-6602	47	5	heavily	heavily	ADV
ejpam-6602	47	6	depends	depend	VERB
ejpam-6602	47	7	on	on	ADP
ejpam-6602	47	8	carefully	carefully	ADV
ejpam-6602	47	9	tuned	tune	VERB
ejpam-6602	47	10	parameters	parameter	NOUN
ejpam-6602	47	11	and	and	CCONJ
ejpam-6602	47	12	algorithmic	algorithmic	ADJ
ejpam-6602	47	13	configurations	configuration	NOUN
ejpam-6602	47	14	,	,	PUNCT
ejpam-6602	47	15	which	which	PRON
ejpam-6602	47	16	are	be	AUX
ejpam-6602	47	17	often	often	ADV
ejpam-6602	47	18	problem	problem	NOUN
ejpam-6602	47	19	-	-	PUNCT
ejpam-6602	47	20	specific	specific	ADJ
ejpam-6602	47	21	and	and	CCONJ
ejpam-6602	47	22	require	require	VERB
ejpam-6602	47	23	expert	expert	ADJ
ejpam-6602	47	24	knowledge	knowledge	NOUN
ejpam-6602	47	25	.	.	PUNCT
ejpam-6602	48	1	furthermore	furthermore	ADV
ejpam-6602	48	2	,	,	PUNCT
ejpam-6602	48	3	single	single	ADJ
ejpam-6602	48	4	-	-	PUNCT
ejpam-6602	48	5	strategy	strategy	NOUN
ejpam-6602	48	6	metaheuristics	metaheuristic	NOUN
ejpam-6602	48	7	may	may	AUX
ejpam-6602	48	8	struggle	struggle	VERB
ejpam-6602	48	9	with	with	ADP
ejpam-6602	48	10	exploration	exploration	NOUN
ejpam-6602	48	11	-	-	PUNCT
ejpam-6602	48	12	exploitation	exploitation	NOUN
ejpam-6602	48	13	balance	balance	NOUN
ejpam-6602	48	14	,	,	PUNCT
ejpam-6602	48	15	leading	lead	VERB
ejpam-6602	48	16	to	to	ADP
ejpam-6602	48	17	premature	premature	ADJ
ejpam-6602	48	18	convergence	convergence	NOUN
ejpam-6602	48	19	or	or	CCONJ
ejpam-6602	48	20	inefficient	inefficient	ADJ
ejpam-6602	48	21	search	search	NOUN
ejpam-6602	48	22	processes	process	NOUN
ejpam-6602	48	23	.	.	PUNCT
ejpam-6602	49	1	to	to	PART
ejpam-6602	49	2	address	address	VERB
ejpam-6602	49	3	these	these	DET
ejpam-6602	49	4	limitations	limitation	NOUN
ejpam-6602	49	5	,	,	PUNCT
ejpam-6602	49	6	this	this	DET
ejpam-6602	49	7	paper	paper	NOUN
ejpam-6602	49	8	introduces	introduce	VERB
ejpam-6602	49	9	a	a	DET
ejpam-6602	49	10	novel	novel	ADJ
ejpam-6602	49	11	hybrid	hybrid	ADJ
ejpam-6602	49	12	metaheuristic	metaheuristic	ADJ
ejpam-6602	49	13	framework	framework	NOUN
ejpam-6602	49	14	(	(	PUNCT
ejpam-6602	49	15	hmf	hmf	PROPN
ejpam-6602	49	16	)	)	PUNCT
ejpam-6602	49	17	that	that	PRON
ejpam-6602	49	18	incorporates	incorporate	VERB
ejpam-6602	49	19	:	:	PUNCT
ejpam-6602	49	20	•	•	NUM
ejpam-6602	49	21	a	a	DET
ejpam-6602	49	22	self	self	NOUN
ejpam-6602	49	23	-	-	PUNCT
ejpam-6602	49	24	adaptive	adaptive	ADJ
ejpam-6602	49	25	multi	multi	ADJ
ejpam-6602	49	26	-	-	ADJ
ejpam-6602	49	27	strategy	strategy	ADJ
ejpam-6602	49	28	mechanism	mechanism	NOUN
ejpam-6602	49	29	that	that	PRON
ejpam-6602	49	30	dynamically	dynamically	ADV
ejpam-6602	49	31	selects	select	NOUN
ejpam-6602	49	32	and	and	CCONJ
ejpam-6602	49	33	combines	combine	VERB
ejpam-6602	49	34	different	different	ADJ
ejpam-6602	49	35	metaheuristic	metaheuristic	ADJ
ejpam-6602	49	36	strategies	strategy	NOUN
ejpam-6602	49	37	based	base	VERB
ejpam-6602	49	38	on	on	ADP
ejpam-6602	49	39	real	real	ADJ
ejpam-6602	49	40	-	-	PUNCT
ejpam-6602	49	41	time	time	NOUN
ejpam-6602	49	42	performance	performance	NOUN
ejpam-6602	49	43	feedback	feedback	NOUN
ejpam-6602	49	44	.	.	PUNCT
ejpam-6602	50	1	•	•	NUM
ejpam-6602	50	2	a	a	DET
ejpam-6602	50	3	reinforcement	reinforcement	NOUN
ejpam-6602	50	4	learning	learning	NOUN
ejpam-6602	50	5	-	-	PUNCT
ejpam-6602	50	6	based	base	VERB
ejpam-6602	50	7	parameter	parameter	NOUN
ejpam-6602	50	8	tuning	tune	VERB
ejpam-6602	50	9	approach	approach	NOUN
ejpam-6602	50	10	that	that	PRON
ejpam-6602	50	11	automatically	automatically	ADV
ejpam-6602	50	12	adjusts	adjust	VERB
ejpam-6602	50	13	algorithm	algorithm	NOUN
ejpam-6602	50	14	parameters	parameter	NOUN
ejpam-6602	50	15	to	to	PART
ejpam-6602	50	16	enhance	enhance	VERB
ejpam-6602	50	17	adaptability	adaptability	NOUN
ejpam-6602	50	18	across	across	ADP
ejpam-6602	50	19	diverse	diverse	ADJ
ejpam-6602	50	20	problem	problem	NOUN
ejpam-6602	50	21	instances	instance	NOUN
ejpam-6602	50	22	.	.	PUNCT
ejpam-6602	51	1	•	•	NUM
ejpam-6602	51	2	a	a	DET
ejpam-6602	51	3	parallel	parallel	ADJ
ejpam-6602	51	4	computing	compute	VERB
ejpam-6602	51	5	framework	framework	NOUN
ejpam-6602	51	6	to	to	PART
ejpam-6602	51	7	improve	improve	VERB
ejpam-6602	51	8	computational	computational	ADJ
ejpam-6602	51	9	efficiency	efficiency	NOUN
ejpam-6602	51	10	for	for	ADP
ejpam-6602	51	11	large	large	ADJ
ejpam-6602	51	12	-	-	PUNCT
ejpam-6602	51	13	scale	scale	NOUN
ejpam-6602	51	14	combinatorial	combinatorial	ADJ
ejpam-6602	51	15	problems	problem	NOUN
ejpam-6602	51	16	.	.	PUNCT
ejpam-6602	52	1	the	the	DET
ejpam-6602	52	2	primary	primary	ADJ
ejpam-6602	52	3	objective	objective	NOUN
ejpam-6602	52	4	of	of	ADP
ejpam-6602	52	5	this	this	DET
ejpam-6602	52	6	research	research	NOUN
ejpam-6602	52	7	is	be	AUX
ejpam-6602	52	8	to	to	PART
ejpam-6602	52	9	develop	develop	VERB
ejpam-6602	52	10	a	a	DET
ejpam-6602	52	11	hybrid	hybrid	ADJ
ejpam-6602	52	12	metaheuristic	metaheuristic	ADJ
ejpam-6602	52	13	framework	framework	NOUN
ejpam-6602	52	14	(	(	PUNCT
ejpam-6602	52	15	hmf	hmf	PROPN
ejpam-6602	52	16	)	)	PUNCT
ejpam-6602	52	17	that	that	PRON
ejpam-6602	52	18	integrates	integrate	VERB
ejpam-6602	52	19	multiple	multiple	ADJ
ejpam-6602	52	20	optimization	optimization	NOUN
ejpam-6602	52	21	strategies	strategy	NOUN
ejpam-6602	52	22	with	with	ADP
ejpam-6602	52	23	reinforcement	reinforcement	NOUN
ejpam-6602	52	24	learning	learning	NOUN
ejpam-6602	52	25	-	-	PUNCT
ejpam-6602	52	26	based	base	VERB
ejpam-6602	52	27	parameter	parameter	NOUN
ejpam-6602	52	28	adaptation	adaptation	NOUN
ejpam-6602	52	29	for	for	ADP
ejpam-6602	52	30	solving	solve	VERB
ejpam-6602	52	31	large	large	ADJ
ejpam-6602	52	32	-	-	PUNCT
ejpam-6602	52	33	scale	scale	NOUN
ejpam-6602	52	34	combinatorial	combinatorial	ADJ
ejpam-6602	52	35	optimization	optimization	NOUN
ejpam-6602	52	36	problems	problem	NOUN
ejpam-6602	52	37	(	(	PUNCT
ejpam-6602	52	38	cops	cop	NOUN
ejpam-6602	52	39	)	)	PUNCT
ejpam-6602	52	40	.	.	PUNCT
ejpam-6602	53	1	the	the	DET
ejpam-6602	53	2	proposed	propose	VERB
ejpam-6602	53	3	framework	framework	NOUN
ejpam-6602	53	4	aims	aim	VERB
ejpam-6602	53	5	to	to	PART
ejpam-6602	53	6	:	:	PUNCT
ejpam-6602	53	7	•	•	NOUN
ejpam-6602	53	8	enhance	enhance	NOUN
ejpam-6602	53	9	solution	solution	NOUN
ejpam-6602	53	10	quality	quality	NOUN
ejpam-6602	53	11	by	by	ADP
ejpam-6602	53	12	dynamically	dynamically	ADV
ejpam-6602	53	13	selecting	select	VERB
ejpam-6602	53	14	the	the	DET
ejpam-6602	53	15	best	well	ADV
ejpam-6602	53	16	-	-	PUNCT
ejpam-6602	53	17	performing	perform	VERB
ejpam-6602	53	18	metaheuristic	metaheuristic	NOUN
ejpam-6602	53	19	at	at	ADP
ejpam-6602	53	20	each	each	DET
ejpam-6602	53	21	iteration	iteration	NOUN
ejpam-6602	53	22	.	.	PUNCT
ejpam-6602	54	1	•	•	NOUN
ejpam-6602	54	2	improve	improve	VERB
ejpam-6602	54	3	convergence	convergence	NOUN
ejpam-6602	54	4	speed	speed	NOUN
ejpam-6602	54	5	using	use	VERB
ejpam-6602	54	6	reinforcement	reinforcement	NOUN
ejpam-6602	54	7	learning	learning	NOUN
ejpam-6602	54	8	-	-	PUNCT
ejpam-6602	54	9	based	base	VERB
ejpam-6602	54	10	parameter	parameter	NOUN
ejpam-6602	54	11	tuning	tune	VERB
ejpam-6602	54	12	to	to	PART
ejpam-6602	54	13	optimize	optimize	VERB
ejpam-6602	54	14	algorithmic	algorithmic	ADJ
ejpam-6602	54	15	configurations	configuration	NOUN
ejpam-6602	54	16	in	in	ADP
ejpam-6602	54	17	real	real	ADJ
ejpam-6602	54	18	time	time	NOUN
ejpam-6602	54	19	.	.	PUNCT
ejpam-6602	55	1	k.	k.	PROPN
ejpam-6602	55	2	danach	danach	PROPN
ejpam-6602	55	3	et	et	PROPN
ejpam-6602	55	4	al	al	PROPN
ejpam-6602	55	5	.	.	PUNCT
ejpam-6602	55	6	/	/	SYM
ejpam-6602	55	7	eur	eur	PROPN
ejpam-6602	55	8	.	.	PUNCT
ejpam-6602	56	1	j.	j.	PROPN
ejpam-6602	56	2	pure	pure	PROPN
ejpam-6602	56	3	appl	appl	PROPN
ejpam-6602	56	4	.	.	PROPN
ejpam-6602	56	5	math	math	PROPN
ejpam-6602	56	6	,	,	PUNCT
ejpam-6602	56	7	18	18	NUM
ejpam-6602	56	8	(	(	PUNCT
ejpam-6602	56	9	3	3	NUM
ejpam-6602	56	10	)	)	PUNCT
ejpam-6602	56	11	(	(	PUNCT
ejpam-6602	56	12	2025	2025	NUM
ejpam-6602	56	13	)	)	PUNCT
ejpam-6602	56	14	,	,	PUNCT
ejpam-6602	56	15	6602	6602	NUM
ejpam-6602	56	16	4	4	NUM
ejpam-6602	56	17	of	of	ADP
ejpam-6602	56	18	37	37	NUM
ejpam-6602	56	19	•	•	NUM
ejpam-6602	56	20	reduce	reduce	VERB
ejpam-6602	56	21	computational	computational	ADJ
ejpam-6602	56	22	cost	cost	NOUN
ejpam-6602	56	23	by	by	ADP
ejpam-6602	56	24	leveraging	leverage	VERB
ejpam-6602	56	25	parallel	parallel	ADJ
ejpam-6602	56	26	computing	computing	NOUN
ejpam-6602	56	27	for	for	ADP
ejpam-6602	56	28	large	large	ADJ
ejpam-6602	56	29	-	-	PUNCT
ejpam-6602	56	30	scale	scale	NOUN
ejpam-6602	56	31	problem	problem	NOUN
ejpam-6602	56	32	instances	instance	NOUN
ejpam-6602	56	33	.	.	PUNCT
ejpam-6602	57	1	•	•	NOUN
ejpam-6602	57	2	ensure	ensure	VERB
ejpam-6602	57	3	adaptability	adaptability	NOUN
ejpam-6602	57	4	by	by	ADP
ejpam-6602	57	5	applying	apply	VERB
ejpam-6602	57	6	self	self	NOUN
ejpam-6602	57	7	-	-	PUNCT
ejpam-6602	57	8	adaptive	adaptive	ADJ
ejpam-6602	57	9	heuristic	heuristic	ADJ
ejpam-6602	57	10	selection	selection	NOUN
ejpam-6602	57	11	to	to	ADP
ejpam-6602	57	12	different	different	ADJ
ejpam-6602	57	13	combinatorial	combinatorial	ADJ
ejpam-6602	57	14	problems	problem	NOUN
ejpam-6602	57	15	without	without	ADP
ejpam-6602	57	16	manual	manual	ADJ
ejpam-6602	57	17	intervention	intervention	NOUN
ejpam-6602	57	18	.	.	PUNCT
ejpam-6602	58	1	2.1	2.1	NUM
ejpam-6602	58	2	.	.	PUNCT
ejpam-6602	59	1	research	research	NOUN
ejpam-6602	59	2	questions	question	NOUN
ejpam-6602	59	3	to	to	PART
ejpam-6602	59	4	achieve	achieve	VERB
ejpam-6602	59	5	the	the	DET
ejpam-6602	59	6	above	above	ADJ
ejpam-6602	59	7	objectives	objective	NOUN
ejpam-6602	60	1	,	,	PUNCT
ejpam-6602	60	2	the	the	DET
ejpam-6602	60	3	study	study	NOUN
ejpam-6602	60	4	investigates	investigate	VERB
ejpam-6602	60	5	the	the	DET
ejpam-6602	60	6	following	follow	VERB
ejpam-6602	60	7	key	key	ADJ
ejpam-6602	60	8	research	research	NOUN
ejpam-6602	60	9	questions	question	NOUN
ejpam-6602	60	10	:	:	PUNCT
ejpam-6602	60	11	(	(	PUNCT
ejpam-6602	60	12	i	i	NOUN
ejpam-6602	60	13	)	)	PUNCT
ejpam-6602	60	14	rq1	rq1	NOUN
ejpam-6602	60	15	:	:	PUNCT
ejpam-6602	60	16	how	how	SCONJ
ejpam-6602	60	17	does	do	AUX
ejpam-6602	60	18	the	the	DET
ejpam-6602	60	19	integration	integration	NOUN
ejpam-6602	60	20	of	of	ADP
ejpam-6602	60	21	a	a	DET
ejpam-6602	60	22	self	self	NOUN
ejpam-6602	60	23	-	-	PUNCT
ejpam-6602	60	24	adaptive	adaptive	ADJ
ejpam-6602	60	25	hybrid	hybrid	ADJ
ejpam-6602	60	26	metaheuristic	metaheuristic	ADJ
ejpam-6602	60	27	framework	framework	NOUN
ejpam-6602	60	28	improve	improve	VERB
ejpam-6602	60	29	the	the	DET
ejpam-6602	60	30	exploration	exploration	NOUN
ejpam-6602	60	31	-	-	PUNCT
ejpam-6602	60	32	exploitation	exploitation	NOUN
ejpam-6602	60	33	balance	balance	NOUN
ejpam-6602	60	34	in	in	ADP
ejpam-6602	60	35	large	large	ADJ
ejpam-6602	60	36	-	-	PUNCT
ejpam-6602	60	37	scale	scale	NOUN
ejpam-6602	60	38	combinatorial	combinatorial	ADJ
ejpam-6602	60	39	optimization	optimization	NOUN
ejpam-6602	60	40	?	?	PUNCT
ejpam-6602	61	1	(	(	PUNCT
ejpam-6602	61	2	ii	ii	NOUN
ejpam-6602	61	3	)	)	PUNCT
ejpam-6602	61	4	rq2	rq2	NOUN
ejpam-6602	61	5	:	:	PUNCT
ejpam-6602	61	6	can	can	AUX
ejpam-6602	61	7	reinforcement	reinforcement	VERB
ejpam-6602	61	8	learning	learning	NOUN
ejpam-6602	61	9	-	-	PUNCT
ejpam-6602	61	10	based	base	VERB
ejpam-6602	61	11	parameter	parameter	NOUN
ejpam-6602	61	12	tuning	tuning	NOUN
ejpam-6602	61	13	enhance	enhance	VERB
ejpam-6602	61	14	the	the	DET
ejpam-6602	61	15	adaptability	adaptability	NOUN
ejpam-6602	61	16	and	and	CCONJ
ejpam-6602	61	17	efficiency	efficiency	NOUN
ejpam-6602	61	18	of	of	ADP
ejpam-6602	61	19	metaheuristic	metaheuristic	ADJ
ejpam-6602	61	20	algorithms	algorithm	NOUN
ejpam-6602	61	21	across	across	ADP
ejpam-6602	61	22	different	different	ADJ
ejpam-6602	61	23	problem	problem	NOUN
ejpam-6602	61	24	instances	instance	NOUN
ejpam-6602	61	25	?	?	PUNCT
ejpam-6602	62	1	(	(	PUNCT
ejpam-6602	62	2	iii	iii	NOUN
ejpam-6602	62	3	)	)	PUNCT
ejpam-6602	62	4	rq3	rq3	NOUN
ejpam-6602	62	5	:	:	PUNCT
ejpam-6602	62	6	how	how	SCONJ
ejpam-6602	62	7	does	do	AUX
ejpam-6602	62	8	the	the	DET
ejpam-6602	62	9	proposed	propose	VERB
ejpam-6602	62	10	hybrid	hybrid	NOUN
ejpam-6602	62	11	framework	framework	NOUN
ejpam-6602	62	12	compare	compare	VERB
ejpam-6602	62	13	with	with	ADP
ejpam-6602	62	14	state	state	NOUN
ejpam-6602	62	15	-	-	PUNCT
ejpam-6602	62	16	of	of	ADP
ejpam-6602	62	17	-	-	PUNCT
ejpam-6602	62	18	the	the	DET
ejpam-6602	62	19	-	-	PUNCT
ejpam-6602	62	20	art	art	NOUN
ejpam-6602	62	21	metaheuristics	metaheuristic	NOUN
ejpam-6602	62	22	in	in	ADP
ejpam-6602	62	23	terms	term	NOUN
ejpam-6602	62	24	of	of	ADP
ejpam-6602	62	25	solution	solution	NOUN
ejpam-6602	62	26	quality	quality	NOUN
ejpam-6602	62	27	,	,	PUNCT
ejpam-6602	62	28	convergence	convergence	NOUN
ejpam-6602	62	29	speed	speed	NOUN
ejpam-6602	62	30	,	,	PUNCT
ejpam-6602	62	31	and	and	CCONJ
ejpam-6602	62	32	computational	computational	ADJ
ejpam-6602	62	33	efficiency	efficiency	NOUN
ejpam-6602	62	34	?	?	PUNCT
ejpam-6602	63	1	(	(	PUNCT
ejpam-6602	63	2	iv	iv	X
ejpam-6602	63	3	)	)	PUNCT
ejpam-6602	63	4	rq4	rq4	NOUN
ejpam-6602	63	5	:	:	PUNCT
ejpam-6602	63	6	what	what	PRON
ejpam-6602	63	7	are	be	AUX
ejpam-6602	63	8	the	the	DET
ejpam-6602	63	9	trade	trade	NOUN
ejpam-6602	63	10	-	-	PUNCT
ejpam-6602	63	11	offs	off	NOUN
ejpam-6602	63	12	between	between	ADP
ejpam-6602	63	13	computational	computational	ADJ
ejpam-6602	63	14	overhead	overhead	NOUN
ejpam-6602	63	15	and	and	CCONJ
ejpam-6602	63	16	optimization	optimization	NOUN
ejpam-6602	63	17	performance	performance	NOUN
ejpam-6602	63	18	when	when	SCONJ
ejpam-6602	63	19	incorporating	incorporate	VERB
ejpam-6602	63	20	reinforcement	reinforcement	NOUN
ejpam-6602	63	21	learning	learning	NOUN
ejpam-6602	63	22	within	within	ADP
ejpam-6602	63	23	a	a	DET
ejpam-6602	63	24	metaheuristic	metaheuristic	ADJ
ejpam-6602	63	25	framework	framework	NOUN
ejpam-6602	63	26	?	?	PUNCT
ejpam-6602	64	1	2.2	2.2	NUM
ejpam-6602	64	2	.	.	PUNCT
ejpam-6602	65	1	research	research	NOUN
ejpam-6602	65	2	hypotheses	hypothesis	NOUN
ejpam-6602	65	3	aligned	align	VERB
ejpam-6602	65	4	with	with	ADP
ejpam-6602	65	5	research	research	NOUN
ejpam-6602	65	6	questions	question	NOUN
ejpam-6602	65	7	based	base	VERB
ejpam-6602	65	8	on	on	ADP
ejpam-6602	65	9	the	the	DET
ejpam-6602	65	10	research	research	NOUN
ejpam-6602	65	11	questions	question	NOUN
ejpam-6602	65	12	,	,	PUNCT
ejpam-6602	65	13	we	we	PRON
ejpam-6602	65	14	formulate	formulate	VERB
ejpam-6602	65	15	the	the	DET
ejpam-6602	65	16	following	follow	VERB
ejpam-6602	65	17	hypotheses	hypothesis	NOUN
ejpam-6602	65	18	,	,	PUNCT
ejpam-6602	65	19	each	each	DET
ejpam-6602	65	20	mapped	map	VERB
ejpam-6602	65	21	to	to	ADP
ejpam-6602	65	22	its	its	PRON
ejpam-6602	65	23	respective	respective	ADJ
ejpam-6602	65	24	rq	rq	NOUN
ejpam-6602	65	25	:	:	PUNCT
ejpam-6602	65	26	•	•	NUM
ejpam-6602	65	27	h1	h1	NOUN
ejpam-6602	65	28	(	(	PUNCT
ejpam-6602	65	29	for	for	ADP
ejpam-6602	65	30	rq1	rq1	NOUN
ejpam-6602	65	31	):	):	PUNCT
ejpam-6602	65	32	the	the	DET
ejpam-6602	65	33	proposed	propose	VERB
ejpam-6602	65	34	self	self	NOUN
ejpam-6602	65	35	-	-	PUNCT
ejpam-6602	65	36	adaptive	adaptive	ADJ
ejpam-6602	65	37	multi	multi	ADJ
ejpam-6602	65	38	-	-	ADJ
ejpam-6602	65	39	strategy	strategy	ADJ
ejpam-6602	65	40	approach	approach	NOUN
ejpam-6602	65	41	significantly	significantly	ADV
ejpam-6602	65	42	improves	improve	VERB
ejpam-6602	65	43	solution	solution	NOUN
ejpam-6602	65	44	quality	quality	NOUN
ejpam-6602	65	45	and	and	CCONJ
ejpam-6602	65	46	convergence	convergence	NOUN
ejpam-6602	65	47	speed	speed	NOUN
ejpam-6602	65	48	by	by	ADP
ejpam-6602	65	49	enhancing	enhance	VERB
ejpam-6602	65	50	the	the	DET
ejpam-6602	65	51	explorationexploitation	explorationexploitation	NOUN
ejpam-6602	65	52	balance	balance	NOUN
ejpam-6602	65	53	compared	compare	VERB
ejpam-6602	65	54	to	to	ADP
ejpam-6602	65	55	traditional	traditional	ADJ
ejpam-6602	65	56	single	single	ADJ
ejpam-6602	65	57	-	-	PUNCT
ejpam-6602	65	58	strategy	strategy	NOUN
ejpam-6602	65	59	metaheuristics	metaheuristic	NOUN
ejpam-6602	65	60	.	.	PUNCT
ejpam-6602	66	1	•	•	NUM
ejpam-6602	66	2	h2	h2	PROPN
ejpam-6602	66	3	(	(	PUNCT
ejpam-6602	66	4	for	for	ADP
ejpam-6602	66	5	rq2	rq2	NOUN
ejpam-6602	66	6	):	):	PUNCT
ejpam-6602	66	7	reinforcement	reinforcement	NOUN
ejpam-6602	66	8	learning	learning	NOUN
ejpam-6602	66	9	-	-	PUNCT
ejpam-6602	66	10	based	base	VERB
ejpam-6602	66	11	parameter	parameter	NOUN
ejpam-6602	66	12	tuning	tuning	NOUN
ejpam-6602	66	13	leads	lead	VERB
ejpam-6602	66	14	to	to	ADP
ejpam-6602	66	15	better	well	ADJ
ejpam-6602	66	16	adaptability	adaptability	NOUN
ejpam-6602	66	17	and	and	CCONJ
ejpam-6602	66	18	efficiency	efficiency	NOUN
ejpam-6602	66	19	across	across	ADP
ejpam-6602	66	20	various	various	ADJ
ejpam-6602	66	21	combinatorial	combinatorial	ADJ
ejpam-6602	66	22	optimization	optimization	NOUN
ejpam-6602	66	23	problems	problem	NOUN
ejpam-6602	66	24	,	,	PUNCT
ejpam-6602	66	25	reducing	reduce	VERB
ejpam-6602	66	26	the	the	DET
ejpam-6602	66	27	need	need	NOUN
ejpam-6602	66	28	for	for	ADP
ejpam-6602	66	29	manual	manual	ADJ
ejpam-6602	66	30	parameter	parameter	NOUN
ejpam-6602	66	31	adjustments	adjustment	NOUN
ejpam-6602	66	32	.	.	PUNCT
ejpam-6602	67	1	•	•	NUM
ejpam-6602	67	2	h3	h3	NOUN
ejpam-6602	67	3	(	(	PUNCT
ejpam-6602	67	4	for	for	ADP
ejpam-6602	67	5	rq3	rq3	NOUN
ejpam-6602	67	6	):	):	PUNCT
ejpam-6602	67	7	the	the	DET
ejpam-6602	67	8	hybrid	hybrid	ADJ
ejpam-6602	67	9	metaheuristic	metaheuristic	ADJ
ejpam-6602	67	10	framework	framework	NOUN
ejpam-6602	67	11	outperforms	outperform	VERB
ejpam-6602	67	12	existing	exist	VERB
ejpam-6602	67	13	metaheuristic	metaheuristic	ADJ
ejpam-6602	67	14	methods	method	NOUN
ejpam-6602	67	15	in	in	ADP
ejpam-6602	67	16	terms	term	NOUN
ejpam-6602	67	17	of	of	ADP
ejpam-6602	67	18	solution	solution	NOUN
ejpam-6602	67	19	quality	quality	NOUN
ejpam-6602	67	20	,	,	PUNCT
ejpam-6602	67	21	convergence	convergence	NOUN
ejpam-6602	67	22	speed	speed	NOUN
ejpam-6602	67	23	,	,	PUNCT
ejpam-6602	67	24	and	and	CCONJ
ejpam-6602	67	25	computational	computational	ADJ
ejpam-6602	67	26	efficiency	efficiency	NOUN
ejpam-6602	67	27	for	for	ADP
ejpam-6602	67	28	large	large	ADJ
ejpam-6602	67	29	-	-	PUNCT
ejpam-6602	67	30	scale	scale	NOUN
ejpam-6602	67	31	cops	cop	NOUN
ejpam-6602	67	32	.	.	PUNCT
ejpam-6602	68	1	•	•	NUM
ejpam-6602	68	2	h4	h4	PROPN
ejpam-6602	68	3	(	(	PUNCT
ejpam-6602	68	4	for	for	ADP
ejpam-6602	68	5	rq4	rq4	NOUN
ejpam-6602	68	6	):	):	PUNCT
ejpam-6602	68	7	although	although	SCONJ
ejpam-6602	68	8	reinforcement	reinforcement	NOUN
ejpam-6602	68	9	learning	learning	NOUN
ejpam-6602	68	10	introduces	introduce	NOUN
ejpam-6602	68	11	computational	computational	ADJ
ejpam-6602	68	12	overhead	overhead	NOUN
ejpam-6602	68	13	,	,	PUNCT
ejpam-6602	68	14	its	its	PRON
ejpam-6602	68	15	benefits	benefit	NOUN
ejpam-6602	68	16	in	in	ADP
ejpam-6602	68	17	solution	solution	NOUN
ejpam-6602	68	18	quality	quality	NOUN
ejpam-6602	68	19	and	and	CCONJ
ejpam-6602	68	20	robustness	robustness	NOUN
ejpam-6602	68	21	outweigh	outweigh	VERB
ejpam-6602	68	22	the	the	DET
ejpam-6602	68	23	additional	additional	ADJ
ejpam-6602	68	24	computational	computational	ADJ
ejpam-6602	68	25	cost	cost	NOUN
ejpam-6602	68	26	.	.	PUNCT
ejpam-6602	69	1	k.	k.	PROPN
ejpam-6602	69	2	danach	danach	PROPN
ejpam-6602	69	3	et	et	PROPN
ejpam-6602	69	4	al	al	PROPN
ejpam-6602	69	5	.	.	PUNCT
ejpam-6602	69	6	/	/	SYM
ejpam-6602	69	7	eur	eur	PROPN
ejpam-6602	69	8	.	.	PUNCT
ejpam-6602	70	1	j.	j.	PROPN
ejpam-6602	70	2	pure	pure	PROPN
ejpam-6602	70	3	appl	appl	PROPN
ejpam-6602	70	4	.	.	PROPN
ejpam-6602	70	5	math	math	PROPN
ejpam-6602	70	6	,	,	PUNCT
ejpam-6602	70	7	18	18	NUM
ejpam-6602	70	8	(	(	PUNCT
ejpam-6602	70	9	3	3	NUM
ejpam-6602	70	10	)	)	PUNCT
ejpam-6602	70	11	(	(	PUNCT
ejpam-6602	70	12	2025	2025	NUM
ejpam-6602	70	13	)	)	PUNCT
ejpam-6602	70	14	,	,	PUNCT
ejpam-6602	70	15	6602	6602	NUM
ejpam-6602	70	16	5	5	NUM
ejpam-6602	70	17	of	of	ADP
ejpam-6602	70	18	37	37	NUM
ejpam-6602	70	19	2.3	2.3	NUM
ejpam-6602	70	20	.	.	PUNCT
ejpam-6602	71	1	expected	expect	VERB
ejpam-6602	71	2	contributions	contribution	NOUN
ejpam-6602	71	3	the	the	DET
ejpam-6602	71	4	research	research	NOUN
ejpam-6602	71	5	aims	aim	VERB
ejpam-6602	71	6	to	to	PART
ejpam-6602	71	7	contribute	contribute	VERB
ejpam-6602	71	8	to	to	ADP
ejpam-6602	71	9	the	the	DET
ejpam-6602	71	10	field	field	NOUN
ejpam-6602	71	11	of	of	ADP
ejpam-6602	71	12	combinatorial	combinatorial	ADJ
ejpam-6602	71	13	optimization	optimization	NOUN
ejpam-6602	71	14	by	by	ADP
ejpam-6602	71	15	:	:	PUNCT
ejpam-6602	71	16	•	•	NOUN
ejpam-6602	71	17	introducing	introduce	VERB
ejpam-6602	71	18	a	a	DET
ejpam-6602	71	19	novel	novel	ADJ
ejpam-6602	71	20	hybrid	hybrid	ADJ
ejpam-6602	71	21	metaheuristic	metaheuristic	ADJ
ejpam-6602	71	22	framework	framework	NOUN
ejpam-6602	71	23	with	with	ADP
ejpam-6602	71	24	self	self	NOUN
ejpam-6602	71	25	-	-	PUNCT
ejpam-6602	71	26	adaptive	adaptive	ADJ
ejpam-6602	71	27	heuristic	heuristic	ADJ
ejpam-6602	71	28	selection	selection	NOUN
ejpam-6602	71	29	.	.	PUNCT
ejpam-6602	72	1	•	•	NUM
ejpam-6602	72	2	leveraging	leverage	VERB
ejpam-6602	72	3	reinforcement	reinforcement	NOUN
ejpam-6602	72	4	learning	learning	NOUN
ejpam-6602	72	5	for	for	ADP
ejpam-6602	72	6	real	real	ADJ
ejpam-6602	72	7	-	-	PUNCT
ejpam-6602	72	8	time	time	NOUN
ejpam-6602	72	9	parameter	parameter	NOUN
ejpam-6602	72	10	tuning	tuning	NOUN
ejpam-6602	72	11	in	in	ADP
ejpam-6602	72	12	optimization	optimization	NOUN
ejpam-6602	72	13	algorithms	algorithm	NOUN
ejpam-6602	72	14	.	.	PUNCT
ejpam-6602	73	1	•	•	NUM
ejpam-6602	73	2	implementing	implement	VERB
ejpam-6602	73	3	parallel	parallel	ADJ
ejpam-6602	73	4	execution	execution	NOUN
ejpam-6602	73	5	to	to	PART
ejpam-6602	73	6	enhance	enhance	VERB
ejpam-6602	73	7	computational	computational	ADJ
ejpam-6602	73	8	efficiency	efficiency	NOUN
ejpam-6602	73	9	in	in	ADP
ejpam-6602	73	10	large	large	ADJ
ejpam-6602	73	11	-	-	PUNCT
ejpam-6602	73	12	scale	scale	NOUN
ejpam-6602	73	13	problems	problem	NOUN
ejpam-6602	73	14	.	.	PUNCT
ejpam-6602	74	1	•	•	NUM
ejpam-6602	74	2	providing	provide	VERB
ejpam-6602	74	3	extensive	extensive	ADJ
ejpam-6602	74	4	experimental	experimental	ADJ
ejpam-6602	74	5	validation	validation	NOUN
ejpam-6602	74	6	against	against	ADP
ejpam-6602	74	7	benchmark	benchmark	ADJ
ejpam-6602	74	8	combinatorial	combinatorial	ADJ
ejpam-6602	74	9	problems	problem	NOUN
ejpam-6602	74	10	.	.	PUNCT
ejpam-6602	75	1	the	the	DET
ejpam-6602	75	2	proposed	propose	VERB
ejpam-6602	75	3	framework	framework	NOUN
ejpam-6602	75	4	is	be	AUX
ejpam-6602	75	5	expected	expect	VERB
ejpam-6602	75	6	to	to	PART
ejpam-6602	75	7	improve	improve	VERB
ejpam-6602	75	8	decision	decision	NOUN
ejpam-6602	75	9	-	-	PUNCT
ejpam-6602	75	10	making	making	NOUN
ejpam-6602	75	11	in	in	ADP
ejpam-6602	75	12	real	real	ADJ
ejpam-6602	75	13	-	-	PUNCT
ejpam-6602	75	14	world	world	NOUN
ejpam-6602	75	15	applications	application	NOUN
ejpam-6602	75	16	such	such	ADJ
ejpam-6602	75	17	as	as	ADP
ejpam-6602	75	18	logistics	logistic	NOUN
ejpam-6602	75	19	,	,	PUNCT
ejpam-6602	75	20	scheduling	scheduling	NOUN
ejpam-6602	75	21	,	,	PUNCT
ejpam-6602	75	22	resource	resource	NOUN
ejpam-6602	75	23	allocation	allocation	NOUN
ejpam-6602	75	24	,	,	PUNCT
ejpam-6602	75	25	and	and	CCONJ
ejpam-6602	75	26	network	network	NOUN
ejpam-6602	75	27	optimization	optimization	NOUN
ejpam-6602	75	28	.	.	PUNCT
ejpam-6602	76	1	2.4	2.4	NUM
ejpam-6602	76	2	.	.	PUNCT
ejpam-6602	76	3	theoretical	theoretical	ADJ
ejpam-6602	76	4	justification	justification	NOUN
ejpam-6602	76	5	and	and	CCONJ
ejpam-6602	76	6	comparative	comparative	ADJ
ejpam-6602	76	7	insight	insight	NOUN
ejpam-6602	76	8	while	while	SCONJ
ejpam-6602	76	9	traditional	traditional	ADJ
ejpam-6602	76	10	metaheuristics	metaheuristic	NOUN
ejpam-6602	76	11	such	such	ADJ
ejpam-6602	76	12	as	as	ADP
ejpam-6602	76	13	genetic	genetic	ADJ
ejpam-6602	76	14	algorithms	algorithm	NOUN
ejpam-6602	76	15	(	(	PUNCT
ejpam-6602	76	16	ga	ga	NOUN
ejpam-6602	76	17	)	)	PUNCT
ejpam-6602	76	18	,	,	PUNCT
ejpam-6602	76	19	simulated	simulate	VERB
ejpam-6602	76	20	annealing	annealing	NOUN
ejpam-6602	76	21	(	(	PUNCT
ejpam-6602	76	22	sa	sa	NOUN
ejpam-6602	76	23	)	)	PUNCT
ejpam-6602	76	24	,	,	PUNCT
ejpam-6602	76	25	particle	particle	NOUN
ejpam-6602	76	26	swarm	swarm	NOUN
ejpam-6602	76	27	optimization	optimization	NOUN
ejpam-6602	76	28	(	(	PUNCT
ejpam-6602	76	29	pso	pso	NOUN
ejpam-6602	76	30	)	)	PUNCT
ejpam-6602	76	31	,	,	PUNCT
ejpam-6602	76	32	and	and	CCONJ
ejpam-6602	76	33	ant	ant	ADJ
ejpam-6602	76	34	colony	colony	NOUN
ejpam-6602	76	35	optimization	optimization	NOUN
ejpam-6602	76	36	(	(	PUNCT
ejpam-6602	76	37	aco	aco	PROPN
ejpam-6602	76	38	)	)	PUNCT
ejpam-6602	76	39	have	have	AUX
ejpam-6602	76	40	demonstrated	demonstrate	VERB
ejpam-6602	76	41	considerable	considerable	ADJ
ejpam-6602	76	42	success	success	NOUN
ejpam-6602	76	43	across	across	ADP
ejpam-6602	76	44	various	various	ADJ
ejpam-6602	76	45	combinatorial	combinatorial	ADJ
ejpam-6602	76	46	optimization	optimization	NOUN
ejpam-6602	76	47	problems	problem	NOUN
ejpam-6602	76	48	,	,	PUNCT
ejpam-6602	76	49	their	their	PRON
ejpam-6602	76	50	effectiveness	effectiveness	NOUN
ejpam-6602	76	51	often	often	ADV
ejpam-6602	76	52	hinges	hinge	VERB
ejpam-6602	76	53	on	on	ADP
ejpam-6602	76	54	manually	manually	ADV
ejpam-6602	76	55	tuned	tune	VERB
ejpam-6602	76	56	parameters	parameter	NOUN
ejpam-6602	76	57	and	and	CCONJ
ejpam-6602	76	58	fixed	fix	VERB
ejpam-6602	76	59	search	search	NOUN
ejpam-6602	76	60	strategies	strategy	NOUN
ejpam-6602	76	61	.	.	PUNCT
ejpam-6602	77	1	these	these	DET
ejpam-6602	77	2	constraints	constraint	NOUN
ejpam-6602	77	3	pose	pose	VERB
ejpam-6602	77	4	several	several	ADJ
ejpam-6602	77	5	challenges	challenge	NOUN
ejpam-6602	77	6	in	in	ADP
ejpam-6602	77	7	large	large	ADJ
ejpam-6602	77	8	-	-	PUNCT
ejpam-6602	77	9	scale	scale	NOUN
ejpam-6602	77	10	settings	setting	NOUN
ejpam-6602	77	11	:	:	PUNCT
ejpam-6602	77	12	•	•	NUM
ejpam-6602	77	13	premature	premature	ADJ
ejpam-6602	77	14	convergence	convergence	NOUN
ejpam-6602	77	15	:	:	PUNCT
ejpam-6602	77	16	techniques	technique	NOUN
ejpam-6602	77	17	like	like	ADP
ejpam-6602	77	18	pso	pso	NOUN
ejpam-6602	77	19	and	and	CCONJ
ejpam-6602	77	20	aco	aco	PROPN
ejpam-6602	77	21	may	may	AUX
ejpam-6602	77	22	quickly	quickly	ADV
ejpam-6602	77	23	converge	converge	VERB
ejpam-6602	77	24	to	to	ADP
ejpam-6602	77	25	local	local	ADJ
ejpam-6602	77	26	optima	optima	PROPN
ejpam-6602	77	27	due	due	ADP
ejpam-6602	77	28	to	to	ADP
ejpam-6602	77	29	loss	loss	NOUN
ejpam-6602	77	30	of	of	ADP
ejpam-6602	77	31	diversity	diversity	NOUN
ejpam-6602	77	32	in	in	ADP
ejpam-6602	77	33	the	the	DET
ejpam-6602	77	34	solution	solution	NOUN
ejpam-6602	77	35	population	population	NOUN
ejpam-6602	77	36	.	.	PUNCT
ejpam-6602	78	1	•	•	NUM
ejpam-6602	78	2	poor	poor	ADJ
ejpam-6602	78	3	cross	cross	ADJ
ejpam-6602	78	4	-	-	ADJ
ejpam-6602	78	5	domain	domain	ADJ
ejpam-6602	78	6	adaptability	adaptability	NOUN
ejpam-6602	78	7	:	:	PUNCT
ejpam-6602	78	8	ga	ga	PROPN
ejpam-6602	78	9	and	and	CCONJ
ejpam-6602	78	10	sa	sa	PROPN
ejpam-6602	78	11	require	require	VERB
ejpam-6602	78	12	extensive	extensive	ADJ
ejpam-6602	78	13	re	re	NOUN
ejpam-6602	78	14	-	-	NOUN
ejpam-6602	78	15	tuning	tune	VERB
ejpam-6602	78	16	when	when	SCONJ
ejpam-6602	78	17	applied	apply	VERB
ejpam-6602	78	18	to	to	ADP
ejpam-6602	78	19	problems	problem	NOUN
ejpam-6602	78	20	with	with	ADP
ejpam-6602	78	21	different	different	ADJ
ejpam-6602	78	22	landscapes	landscape	NOUN
ejpam-6602	78	23	or	or	CCONJ
ejpam-6602	78	24	dimensionalities	dimensionality	NOUN
ejpam-6602	78	25	.	.	PUNCT
ejpam-6602	79	1	•	•	NOUN
ejpam-6602	79	2	inefficiency	inefficiency	NOUN
ejpam-6602	79	3	in	in	ADP
ejpam-6602	79	4	dynamic	dynamic	ADJ
ejpam-6602	79	5	environments	environment	NOUN
ejpam-6602	79	6	:	:	PUNCT
ejpam-6602	79	7	static	static	ADJ
ejpam-6602	79	8	parameter	parameter	NOUN
ejpam-6602	79	9	configurations	configuration	NOUN
ejpam-6602	79	10	hinder	hinder	VERB
ejpam-6602	79	11	responsiveness	responsiveness	NOUN
ejpam-6602	79	12	to	to	ADP
ejpam-6602	79	13	changes	change	NOUN
ejpam-6602	79	14	in	in	ADP
ejpam-6602	79	15	search	search	NOUN
ejpam-6602	79	16	progress	progress	NOUN
ejpam-6602	79	17	or	or	CCONJ
ejpam-6602	79	18	problem	problem	NOUN
ejpam-6602	79	19	structure	structure	NOUN
ejpam-6602	79	20	.	.	PUNCT
ejpam-6602	80	1	the	the	DET
ejpam-6602	80	2	core	core	NOUN
ejpam-6602	80	3	innovation	innovation	NOUN
ejpam-6602	80	4	of	of	ADP
ejpam-6602	80	5	the	the	DET
ejpam-6602	80	6	proposed	propose	VERB
ejpam-6602	80	7	hmf	hmf	PROPN
ejpam-6602	80	8	lies	lie	VERB
ejpam-6602	80	9	in	in	ADP
ejpam-6602	80	10	its	its	PRON
ejpam-6602	80	11	reinforcement	reinforcement	NOUN
ejpam-6602	80	12	learning	learning	NOUN
ejpam-6602	80	13	-	-	PUNCT
ejpam-6602	80	14	based	base	VERB
ejpam-6602	80	15	adaptation	adaptation	NOUN
ejpam-6602	80	16	mechanism	mechanism	NOUN
ejpam-6602	80	17	,	,	PUNCT
ejpam-6602	80	18	which	which	PRON
ejpam-6602	80	19	enables	enable	VERB
ejpam-6602	80	20	dynamic	dynamic	ADJ
ejpam-6602	80	21	,	,	PUNCT
ejpam-6602	80	22	data	data	NOUN
ejpam-6602	80	23	-	-	PUNCT
ejpam-6602	80	24	driven	drive	VERB
ejpam-6602	80	25	control	control	NOUN
ejpam-6602	80	26	over	over	ADP
ejpam-6602	80	27	both	both	PRON
ejpam-6602	80	28	metaheuristic	metaheuristic	ADJ
ejpam-6602	80	29	selection	selection	NOUN
ejpam-6602	80	30	and	and	CCONJ
ejpam-6602	80	31	parameter	parameter	NOUN
ejpam-6602	80	32	tuning	tuning	NOUN
ejpam-6602	80	33	.	.	PUNCT
ejpam-6602	81	1	by	by	ADP
ejpam-6602	81	2	modeling	model	VERB
ejpam-6602	81	3	the	the	DET
ejpam-6602	81	4	optimization	optimization	NOUN
ejpam-6602	81	5	process	process	NOUN
ejpam-6602	81	6	as	as	ADP
ejpam-6602	81	7	a	a	DET
ejpam-6602	81	8	markov	markov	NOUN
ejpam-6602	81	9	decision	decision	NOUN
ejpam-6602	81	10	process	process	NOUN
ejpam-6602	81	11	(	(	PUNCT
ejpam-6602	81	12	mdp	mdp	PROPN
ejpam-6602	81	13	)	)	PUNCT
ejpam-6602	81	14	,	,	PUNCT
ejpam-6602	81	15	the	the	DET
ejpam-6602	81	16	framework	framework	NOUN
ejpam-6602	81	17	utilizes	utilize	VERB
ejpam-6602	81	18	a	a	DET
ejpam-6602	81	19	deep	deep	ADJ
ejpam-6602	81	20	q	q	NOUN
ejpam-6602	81	21	-	-	PUNCT
ejpam-6602	81	22	learning	learning	ADJ
ejpam-6602	81	23	(	(	PUNCT
ejpam-6602	81	24	dqn	dqn	ADJ
ejpam-6602	81	25	)	)	PUNCT
ejpam-6602	81	26	agent	agent	NOUN
ejpam-6602	81	27	to	to	PART
ejpam-6602	81	28	:	:	PUNCT
ejpam-6602	81	29	•	•	NUM
ejpam-6602	81	30	continuously	continuously	ADV
ejpam-6602	81	31	observe	observe	VERB
ejpam-6602	81	32	features	feature	NOUN
ejpam-6602	81	33	such	such	ADJ
ejpam-6602	81	34	as	as	ADP
ejpam-6602	81	35	convergence	convergence	NOUN
ejpam-6602	81	36	rate	rate	NOUN
ejpam-6602	81	37	and	and	CCONJ
ejpam-6602	81	38	population	population	NOUN
ejpam-6602	81	39	diversity	diversity	NOUN
ejpam-6602	81	40	.	.	PUNCT
ejpam-6602	82	1	•	•	NUM
ejpam-6602	82	2	predict	predict	VERB
ejpam-6602	82	3	the	the	DET
ejpam-6602	82	4	optimal	optimal	ADJ
ejpam-6602	82	5	parameter	parameter	NOUN
ejpam-6602	82	6	configurations	configuration	NOUN
ejpam-6602	82	7	and	and	CCONJ
ejpam-6602	82	8	heuristic	heuristic	ADJ
ejpam-6602	82	9	combinations	combination	NOUN
ejpam-6602	82	10	to	to	PART
ejpam-6602	82	11	apply	apply	VERB
ejpam-6602	82	12	.	.	PUNCT
ejpam-6602	83	1	•	•	NUM
ejpam-6602	83	2	balance	balance	NOUN
ejpam-6602	83	3	exploration	exploration	NOUN
ejpam-6602	83	4	and	and	CCONJ
ejpam-6602	83	5	exploitation	exploitation	NOUN
ejpam-6602	83	6	using	use	VERB
ejpam-6602	83	7	a	a	DET
ejpam-6602	83	8	learned	learn	VERB
ejpam-6602	83	9	policy	policy	NOUN
ejpam-6602	83	10	rather	rather	ADV
ejpam-6602	83	11	than	than	ADP
ejpam-6602	83	12	fixed	fix	VERB
ejpam-6602	83	13	schedules	schedule	NOUN
ejpam-6602	83	14	.	.	PUNCT
ejpam-6602	84	1	k.	k.	PROPN
ejpam-6602	84	2	danach	danach	PROPN
ejpam-6602	84	3	et	et	PROPN
ejpam-6602	84	4	al	al	PROPN
ejpam-6602	84	5	.	.	PUNCT
ejpam-6602	84	6	/	/	SYM
ejpam-6602	84	7	eur	eur	PROPN
ejpam-6602	84	8	.	.	PUNCT
ejpam-6602	85	1	j.	j.	PROPN
ejpam-6602	85	2	pure	pure	PROPN
ejpam-6602	85	3	appl	appl	PROPN
ejpam-6602	85	4	.	.	PROPN
ejpam-6602	85	5	math	math	PROPN
ejpam-6602	85	6	,	,	PUNCT
ejpam-6602	85	7	18	18	NUM
ejpam-6602	85	8	(	(	PUNCT
ejpam-6602	85	9	3	3	NUM
ejpam-6602	85	10	)	)	PUNCT
ejpam-6602	85	11	(	(	PUNCT
ejpam-6602	85	12	2025	2025	NUM
ejpam-6602	85	13	)	)	PUNCT
ejpam-6602	85	14	,	,	PUNCT
ejpam-6602	85	15	6602	6602	NUM
ejpam-6602	85	16	6	6	NUM
ejpam-6602	85	17	of	of	ADP
ejpam-6602	85	18	37	37	NUM
ejpam-6602	85	19	this	this	DET
ejpam-6602	85	20	adaptive	adaptive	ADJ
ejpam-6602	85	21	behavior	behavior	NOUN
ejpam-6602	85	22	contrasts	contrast	VERB
ejpam-6602	85	23	sharply	sharply	ADV
ejpam-6602	85	24	with	with	ADP
ejpam-6602	85	25	traditional	traditional	ADJ
ejpam-6602	85	26	self	self	NOUN
ejpam-6602	85	27	-	-	PUNCT
ejpam-6602	85	28	adaptive	adaptive	ADJ
ejpam-6602	85	29	or	or	CCONJ
ejpam-6602	85	30	fuzzy	fuzzy	ADJ
ejpam-6602	85	31	tuning	tuning	NOUN
ejpam-6602	85	32	strategies	strategy	NOUN
ejpam-6602	85	33	that	that	PRON
ejpam-6602	85	34	rely	rely	VERB
ejpam-6602	85	35	on	on	ADP
ejpam-6602	85	36	hand	hand	NOUN
ejpam-6602	85	37	-	-	PUNCT
ejpam-6602	85	38	crafted	craft	VERB
ejpam-6602	85	39	rules	rule	NOUN
ejpam-6602	85	40	.	.	PUNCT
ejpam-6602	86	1	for	for	ADP
ejpam-6602	86	2	instance	instance	NOUN
ejpam-6602	86	3	,	,	PUNCT
ejpam-6602	86	4	if	if	SCONJ
ejpam-6602	86	5	the	the	DET
ejpam-6602	86	6	algorithm	algorithm	NOUN
ejpam-6602	86	7	detects	detect	VERB
ejpam-6602	86	8	stagnation	stagnation	NOUN
ejpam-6602	86	9	using	use	VERB
ejpam-6602	86	10	metrics	metric	NOUN
ejpam-6602	86	11	in	in	ADP
ejpam-6602	86	12	eq	eq	ADP
ejpam-6602	86	13	.	.	PUNCT
ejpam-6602	86	14	(	(	PUNCT
ejpam-6602	86	15	3	3	NUM
ejpam-6602	86	16	)	)	PUNCT
ejpam-6602	86	17	,	,	PUNCT
ejpam-6602	86	18	it	it	PRON
ejpam-6602	86	19	may	may	AUX
ejpam-6602	86	20	dynamically	dynamically	ADV
ejpam-6602	86	21	increase	increase	VERB
ejpam-6602	86	22	mutation	mutation	NOUN
ejpam-6602	86	23	rates	rate	NOUN
ejpam-6602	86	24	,	,	PUNCT
ejpam-6602	86	25	switch	switch	NOUN
ejpam-6602	86	26	metaheuristics	metaheuristic	NOUN
ejpam-6602	86	27	,	,	PUNCT
ejpam-6602	86	28	or	or	CCONJ
ejpam-6602	86	29	adopt	adopt	VERB
ejpam-6602	86	30	a	a	DET
ejpam-6602	86	31	more	more	ADV
ejpam-6602	86	32	aggressive	aggressive	ADJ
ejpam-6602	86	33	local	local	ADJ
ejpam-6602	86	34	search	search	NOUN
ejpam-6602	86	35	,	,	PUNCT
ejpam-6602	86	36	all	all	PRON
ejpam-6602	86	37	guided	guide	VERB
ejpam-6602	86	38	by	by	ADP
ejpam-6602	86	39	the	the	DET
ejpam-6602	86	40	rl	rl	PROPN
ejpam-6602	86	41	policy	policy	NOUN
ejpam-6602	86	42	.	.	PUNCT
ejpam-6602	87	1	importantly	importantly	ADV
ejpam-6602	87	2	,	,	PUNCT
ejpam-6602	87	3	the	the	DET
ejpam-6602	87	4	rl	rl	NOUN
ejpam-6602	87	5	-	-	PUNCT
ejpam-6602	87	6	based	base	VERB
ejpam-6602	87	7	controller	controller	NOUN
ejpam-6602	87	8	not	not	PART
ejpam-6602	87	9	only	only	ADV
ejpam-6602	87	10	improves	improve	VERB
ejpam-6602	87	11	performance	performance	NOUN
ejpam-6602	87	12	on	on	ADP
ejpam-6602	87	13	a	a	DET
ejpam-6602	87	14	given	give	VERB
ejpam-6602	87	15	problem	problem	NOUN
ejpam-6602	87	16	instance	instance	NOUN
ejpam-6602	87	17	but	but	CCONJ
ejpam-6602	87	18	also	also	ADV
ejpam-6602	87	19	facilitates	facilitate	VERB
ejpam-6602	87	20	generalization	generalization	NOUN
ejpam-6602	87	21	across	across	ADP
ejpam-6602	87	22	domains	domain	NOUN
ejpam-6602	87	23	,	,	PUNCT
ejpam-6602	87	24	especially	especially	ADV
ejpam-6602	87	25	in	in	ADP
ejpam-6602	87	26	large	large	ADJ
ejpam-6602	87	27	-	-	PUNCT
ejpam-6602	87	28	scale	scale	NOUN
ejpam-6602	87	29	settings	setting	NOUN
ejpam-6602	87	30	where	where	SCONJ
ejpam-6602	87	31	manual	manual	ADJ
ejpam-6602	87	32	tuning	tuning	NOUN
ejpam-6602	87	33	becomes	become	VERB
ejpam-6602	87	34	computationally	computationally	ADV
ejpam-6602	87	35	infeasible	infeasible	ADJ
ejpam-6602	87	36	.	.	PUNCT
ejpam-6602	88	1	table	table	NOUN
ejpam-6602	88	2	6	6	NUM
ejpam-6602	88	3	summarizes	summarize	NOUN
ejpam-6602	88	4	the	the	DET
ejpam-6602	88	5	key	key	ADJ
ejpam-6602	88	6	limitations	limitation	NOUN
ejpam-6602	88	7	of	of	ADP
ejpam-6602	88	8	traditional	traditional	ADJ
ejpam-6602	88	9	metaheuristics	metaheuristic	NOUN
ejpam-6602	88	10	and	and	CCONJ
ejpam-6602	88	11	the	the	DET
ejpam-6602	88	12	corresponding	corresponding	ADJ
ejpam-6602	88	13	advantages	advantage	NOUN
ejpam-6602	88	14	offered	offer	VERB
ejpam-6602	88	15	by	by	ADP
ejpam-6602	88	16	hmf	hmf	PROPN
ejpam-6602	88	17	.	.	PROPN
ejpam-6602	89	1	3	3	X
ejpam-6602	89	2	.	.	X
ejpam-6602	89	3	related	relate	VERB
ejpam-6602	89	4	work	work	NOUN
ejpam-6602	89	5	metaheuristic	metaheuristic	ADJ
ejpam-6602	89	6	optimization	optimization	NOUN
ejpam-6602	89	7	has	have	AUX
ejpam-6602	89	8	been	be	AUX
ejpam-6602	89	9	extensively	extensively	ADV
ejpam-6602	89	10	studied	study	VERB
ejpam-6602	89	11	in	in	ADP
ejpam-6602	89	12	the	the	DET
ejpam-6602	89	13	context	context	NOUN
ejpam-6602	89	14	of	of	ADP
ejpam-6602	89	15	solving	solve	VERB
ejpam-6602	89	16	complex	complex	ADJ
ejpam-6602	89	17	combinatorial	combinatorial	ADJ
ejpam-6602	89	18	optimization	optimization	NOUN
ejpam-6602	89	19	problems	problem	NOUN
ejpam-6602	89	20	(	(	PUNCT
ejpam-6602	89	21	cops	cop	NOUN
ejpam-6602	89	22	)	)	PUNCT
ejpam-6602	89	23	across	across	ADP
ejpam-6602	89	24	various	various	ADJ
ejpam-6602	89	25	domains	domain	NOUN
ejpam-6602	89	26	,	,	PUNCT
ejpam-6602	89	27	including	include	VERB
ejpam-6602	89	28	logistics	logistic	NOUN
ejpam-6602	89	29	,	,	PUNCT
ejpam-6602	89	30	scheduling	scheduling	NOUN
ejpam-6602	89	31	,	,	PUNCT
ejpam-6602	89	32	telecommunications	telecommunication	NOUN
ejpam-6602	89	33	,	,	PUNCT
ejpam-6602	89	34	and	and	CCONJ
ejpam-6602	89	35	manufacturing	manufacture	VERB
ejpam-6602	89	36	[	[	X
ejpam-6602	89	37	4	4	NUM
ejpam-6602	89	38	,	,	PUNCT
ejpam-6602	89	39	10	10	NUM
ejpam-6602	89	40	]	]	PUNCT
ejpam-6602	89	41	.	.	PUNCT
ejpam-6602	90	1	this	this	DET
ejpam-6602	90	2	section	section	NOUN
ejpam-6602	90	3	reviews	review	VERB
ejpam-6602	90	4	the	the	DET
ejpam-6602	90	5	existing	exist	VERB
ejpam-6602	90	6	literature	literature	NOUN
ejpam-6602	90	7	on	on	ADP
ejpam-6602	90	8	metaheuristic	metaheuristic	ADJ
ejpam-6602	90	9	approaches	approach	NOUN
ejpam-6602	90	10	,	,	PUNCT
ejpam-6602	90	11	hybridization	hybridization	NOUN
ejpam-6602	90	12	techniques	technique	NOUN
ejpam-6602	90	13	,	,	PUNCT
ejpam-6602	90	14	adaptive	adaptive	ADJ
ejpam-6602	90	15	parameter	parameter	NOUN
ejpam-6602	90	16	tuning	tuning	NOUN
ejpam-6602	90	17	,	,	PUNCT
ejpam-6602	90	18	and	and	CCONJ
ejpam-6602	90	19	the	the	DET
ejpam-6602	90	20	integration	integration	NOUN
ejpam-6602	90	21	of	of	ADP
ejpam-6602	90	22	reinforcement	reinforcement	NOUN
ejpam-6602	90	23	learning	learning	NOUN
ejpam-6602	90	24	with	with	ADP
ejpam-6602	90	25	optimization	optimization	NOUN
ejpam-6602	90	26	algorithms	algorithm	NOUN
ejpam-6602	90	27	.	.	PUNCT
ejpam-6602	91	1	3.1	3.1	NUM
ejpam-6602	91	2	.	.	PUNCT
ejpam-6602	91	3	traditional	traditional	ADJ
ejpam-6602	91	4	metaheuristic	metaheuristic	ADJ
ejpam-6602	91	5	approaches	approach	VERB
ejpam-6602	91	6	several	several	ADJ
ejpam-6602	91	7	classical	classical	ADJ
ejpam-6602	91	8	metaheuristics	metaheuristic	NOUN
ejpam-6602	91	9	have	have	AUX
ejpam-6602	91	10	been	be	AUX
ejpam-6602	91	11	widely	widely	ADV
ejpam-6602	91	12	used	use	VERB
ejpam-6602	91	13	for	for	ADP
ejpam-6602	91	14	solving	solve	VERB
ejpam-6602	91	15	large	large	ADJ
ejpam-6602	91	16	-	-	PUNCT
ejpam-6602	91	17	scale	scale	NOUN
ejpam-6602	91	18	optimization	optimization	NOUN
ejpam-6602	91	19	problems	problem	NOUN
ejpam-6602	91	20	.	.	PUNCT
ejpam-6602	92	1	these	these	PRON
ejpam-6602	92	2	include	include	VERB
ejpam-6602	92	3	:	:	PUNCT
ejpam-6602	92	4	•	•	NUM
ejpam-6602	92	5	genetic	genetic	ADJ
ejpam-6602	92	6	algorithms	algorithm	NOUN
ejpam-6602	92	7	(	(	PUNCT
ejpam-6602	92	8	ga	ga	NOUN
ejpam-6602	92	9	):	):	PUNCT
ejpam-6602	92	10	inspired	inspire	VERB
ejpam-6602	92	11	by	by	ADP
ejpam-6602	92	12	natural	natural	ADJ
ejpam-6602	92	13	evolution	evolution	NOUN
ejpam-6602	92	14	,	,	PUNCT
ejpam-6602	92	15	ga	ga	PROPN
ejpam-6602	92	16	applies	apply	VERB
ejpam-6602	92	17	selection	selection	NOUN
ejpam-6602	92	18	,	,	PUNCT
ejpam-6602	92	19	crossover	crossover	NOUN
ejpam-6602	92	20	,	,	PUNCT
ejpam-6602	92	21	and	and	CCONJ
ejpam-6602	92	22	mutation	mutation	NOUN
ejpam-6602	92	23	operators	operator	NOUN
ejpam-6602	92	24	to	to	PART
ejpam-6602	92	25	evolve	evolve	VERB
ejpam-6602	92	26	solutions	solution	NOUN
ejpam-6602	92	27	over	over	ADP
ejpam-6602	92	28	generations	generation	NOUN
ejpam-6602	92	29	(	(	PUNCT
ejpam-6602	92	30	[	[	X
ejpam-6602	92	31	5	5	NUM
ejpam-6602	92	32	]	]	NUM
ejpam-6602	92	33	)	)	PUNCT
ejpam-6602	92	34	.	.	PUNCT
ejpam-6602	93	1	it	it	PRON
ejpam-6602	93	2	has	have	AUX
ejpam-6602	93	3	been	be	AUX
ejpam-6602	93	4	applied	apply	VERB
ejpam-6602	93	5	successfully	successfully	ADV
ejpam-6602	93	6	to	to	ADP
ejpam-6602	93	7	routing	route	VERB
ejpam-6602	93	8	problems	problem	NOUN
ejpam-6602	93	9	(	(	PUNCT
ejpam-6602	93	10	[	[	X
ejpam-6602	93	11	24	24	NUM
ejpam-6602	93	12	]	]	NUM
ejpam-6602	93	13	)	)	PUNCT
ejpam-6602	93	14	,	,	PUNCT
ejpam-6602	93	15	scheduling	scheduling	NOUN
ejpam-6602	93	16	problems	problem	NOUN
ejpam-6602	93	17	(	(	PUNCT
ejpam-6602	93	18	[	[	X
ejpam-6602	93	19	25	25	NUM
ejpam-6602	93	20	]	]	NUM
ejpam-6602	93	21	)	)	PUNCT
ejpam-6602	93	22	,	,	PUNCT
ejpam-6602	93	23	and	and	CCONJ
ejpam-6602	93	24	resource	resource	NOUN
ejpam-6602	93	25	allocation	allocation	NOUN
ejpam-6602	93	26	problems	problem	NOUN
ejpam-6602	93	27	(	(	PUNCT
ejpam-6602	93	28	[	[	X
ejpam-6602	93	29	26	26	NUM
ejpam-6602	93	30	]	]	NUM
ejpam-6602	93	31	)	)	PUNCT
ejpam-6602	93	32	.	.	PUNCT
ejpam-6602	94	1	•	•	NUM
ejpam-6602	94	2	simulated	simulated	ADJ
ejpam-6602	94	3	annealing	annealing	NOUN
ejpam-6602	94	4	(	(	PUNCT
ejpam-6602	94	5	sa	sa	PROPN
ejpam-6602	94	6	):	):	PUNCT
ejpam-6602	94	7	this	this	DET
ejpam-6602	94	8	technique	technique	NOUN
ejpam-6602	94	9	mimics	mimic	VERB
ejpam-6602	94	10	the	the	DET
ejpam-6602	94	11	annealing	anneal	VERB
ejpam-6602	94	12	process	process	NOUN
ejpam-6602	94	13	in	in	ADP
ejpam-6602	94	14	metallurgy	metallurgy	NOUN
ejpam-6602	94	15	,	,	PUNCT
ejpam-6602	94	16	using	use	VERB
ejpam-6602	94	17	a	a	DET
ejpam-6602	94	18	probabilistic	probabilistic	ADJ
ejpam-6602	94	19	acceptance	acceptance	NOUN
ejpam-6602	94	20	criterion	criterion	NOUN
ejpam-6602	94	21	to	to	PART
ejpam-6602	94	22	escape	escape	VERB
ejpam-6602	94	23	local	local	ADJ
ejpam-6602	94	24	optima	optima	NOUN
ejpam-6602	94	25	(	(	PUNCT
ejpam-6602	94	26	[	[	X
ejpam-6602	94	27	6	6	NUM
ejpam-6602	94	28	]	]	NUM
ejpam-6602	94	29	)	)	PUNCT
ejpam-6602	94	30	.	.	PUNCT
ejpam-6602	95	1	sa	sa	PROPN
ejpam-6602	95	2	has	have	AUX
ejpam-6602	95	3	been	be	AUX
ejpam-6602	95	4	widely	widely	ADV
ejpam-6602	95	5	used	use	VERB
ejpam-6602	95	6	in	in	ADP
ejpam-6602	95	7	circuit	circuit	NOUN
ejpam-6602	95	8	design	design	NOUN
ejpam-6602	95	9	,	,	PUNCT
ejpam-6602	95	10	scheduling	scheduling	NOUN
ejpam-6602	95	11	,	,	PUNCT
ejpam-6602	95	12	and	and	CCONJ
ejpam-6602	95	13	facility	facility	NOUN
ejpam-6602	95	14	layout	layout	NOUN
ejpam-6602	95	15	problems	problem	NOUN
ejpam-6602	95	16	(	(	PUNCT
ejpam-6602	95	17	[	[	X
ejpam-6602	95	18	27	27	NUM
ejpam-6602	95	19	]	]	NUM
ejpam-6602	95	20	)	)	PUNCT
ejpam-6602	95	21	.	.	PUNCT
ejpam-6602	96	1	•	•	NOUN
ejpam-6602	96	2	particle	particle	NOUN
ejpam-6602	96	3	swarm	swarm	NOUN
ejpam-6602	96	4	optimization	optimization	NOUN
ejpam-6602	96	5	(	(	PUNCT
ejpam-6602	96	6	pso	pso	NOUN
ejpam-6602	96	7	):	):	PUNCT
ejpam-6602	96	8	inspired	inspire	VERB
ejpam-6602	96	9	by	by	ADP
ejpam-6602	96	10	swarm	swarm	NOUN
ejpam-6602	96	11	intelligence	intelligence	NOUN
ejpam-6602	96	12	,	,	PUNCT
ejpam-6602	96	13	pso	pso	NOUN
ejpam-6602	96	14	updates	update	VERB
ejpam-6602	96	15	the	the	DET
ejpam-6602	96	16	velocity	velocity	NOUN
ejpam-6602	96	17	and	and	CCONJ
ejpam-6602	96	18	position	position	NOUN
ejpam-6602	96	19	of	of	ADP
ejpam-6602	96	20	particles	particle	NOUN
ejpam-6602	96	21	based	base	VERB
ejpam-6602	96	22	on	on	ADP
ejpam-6602	96	23	local	local	ADJ
ejpam-6602	96	24	and	and	CCONJ
ejpam-6602	96	25	global	global	ADJ
ejpam-6602	96	26	best	good	ADJ
ejpam-6602	96	27	solutions	solution	NOUN
ejpam-6602	96	28	(	(	PUNCT
ejpam-6602	96	29	[	[	X
ejpam-6602	96	30	7	7	NUM
ejpam-6602	96	31	]	]	NUM
ejpam-6602	96	32	)	)	PUNCT
ejpam-6602	96	33	.	.	PUNCT
ejpam-6602	97	1	it	it	PRON
ejpam-6602	97	2	has	have	AUX
ejpam-6602	97	3	demonstrated	demonstrate	VERB
ejpam-6602	97	4	success	success	NOUN
ejpam-6602	97	5	in	in	ADP
ejpam-6602	97	6	high	high	ADJ
ejpam-6602	97	7	-	-	PUNCT
ejpam-6602	97	8	dimensional	dimensional	ADJ
ejpam-6602	97	9	search	search	NOUN
ejpam-6602	97	10	spaces	space	NOUN
ejpam-6602	97	11	,	,	PUNCT
ejpam-6602	97	12	including	include	VERB
ejpam-6602	97	13	feature	feature	NOUN
ejpam-6602	97	14	selection	selection	NOUN
ejpam-6602	97	15	and	and	CCONJ
ejpam-6602	97	16	energy	energy	NOUN
ejpam-6602	97	17	optimization	optimization	NOUN
ejpam-6602	97	18	(	(	PUNCT
ejpam-6602	97	19	[	[	X
ejpam-6602	97	20	28	28	NUM
ejpam-6602	97	21	]	]	NUM
ejpam-6602	97	22	)	)	PUNCT
ejpam-6602	97	23	.	.	PUNCT
ejpam-6602	98	1	•	•	NUM
ejpam-6602	98	2	ant	ant	ADJ
ejpam-6602	98	3	colony	colony	NOUN
ejpam-6602	98	4	optimization	optimization	NOUN
ejpam-6602	98	5	(	(	PUNCT
ejpam-6602	98	6	aco	aco	PROPN
ejpam-6602	98	7	):	):	PUNCT
ejpam-6602	98	8	aco	aco	PROPN
ejpam-6602	98	9	is	be	AUX
ejpam-6602	98	10	based	base	VERB
ejpam-6602	98	11	on	on	ADP
ejpam-6602	98	12	the	the	DET
ejpam-6602	98	13	pheromone	pheromone	NOUN
ejpam-6602	98	14	-	-	PUNCT
ejpam-6602	98	15	laying	lay	VERB
ejpam-6602	98	16	behavior	behavior	NOUN
ejpam-6602	98	17	of	of	ADP
ejpam-6602	98	18	ants	ant	NOUN
ejpam-6602	98	19	,	,	PUNCT
ejpam-6602	98	20	which	which	PRON
ejpam-6602	98	21	guides	guide	VERB
ejpam-6602	98	22	the	the	DET
ejpam-6602	98	23	search	search	NOUN
ejpam-6602	98	24	process	process	NOUN
ejpam-6602	98	25	towards	towards	ADP
ejpam-6602	98	26	promising	promising	ADJ
ejpam-6602	98	27	regions	region	NOUN
ejpam-6602	98	28	of	of	ADP
ejpam-6602	98	29	the	the	DET
ejpam-6602	98	30	solution	solution	NOUN
ejpam-6602	98	31	space	space	NOUN
ejpam-6602	98	32	(	(	PUNCT
ejpam-6602	98	33	[	[	X
ejpam-6602	98	34	8	8	NUM
ejpam-6602	98	35	]	]	NUM
ejpam-6602	98	36	)	)	PUNCT
ejpam-6602	98	37	.	.	PUNCT
ejpam-6602	99	1	it	it	PRON
ejpam-6602	99	2	has	have	AUX
ejpam-6602	99	3	been	be	AUX
ejpam-6602	99	4	particularly	particularly	ADV
ejpam-6602	99	5	effective	effective	ADJ
ejpam-6602	99	6	in	in	ADP
ejpam-6602	99	7	solving	solve	VERB
ejpam-6602	99	8	the	the	DET
ejpam-6602	99	9	traveling	travel	VERB
ejpam-6602	99	10	salesman	salesman	ADJ
ejpam-6602	99	11	problem	problem	NOUN
ejpam-6602	99	12	(	(	PUNCT
ejpam-6602	99	13	tsp	tsp	NOUN
ejpam-6602	99	14	)	)	PUNCT
ejpam-6602	99	15	and	and	CCONJ
ejpam-6602	99	16	network	network	NOUN
ejpam-6602	99	17	optimization	optimization	NOUN
ejpam-6602	99	18	tasks	task	NOUN
ejpam-6602	99	19	(	(	PUNCT
ejpam-6602	99	20	[	[	X
ejpam-6602	99	21	29	29	NUM
ejpam-6602	99	22	]	]	PUNCT
ejpam-6602	99	23	)	)	PUNCT
ejpam-6602	99	24	.	.	PUNCT
ejpam-6602	100	1	while	while	SCONJ
ejpam-6602	100	2	these	these	DET
ejpam-6602	100	3	methods	method	NOUN
ejpam-6602	100	4	provide	provide	VERB
ejpam-6602	100	5	effective	effective	ADJ
ejpam-6602	100	6	solutions	solution	NOUN
ejpam-6602	100	7	,	,	PUNCT
ejpam-6602	100	8	they	they	PRON
ejpam-6602	100	9	often	often	ADV
ejpam-6602	100	10	suffer	suffer	VERB
ejpam-6602	100	11	from	from	ADP
ejpam-6602	100	12	issues	issue	NOUN
ejpam-6602	100	13	such	such	ADJ
ejpam-6602	100	14	as	as	ADP
ejpam-6602	100	15	premature	premature	ADJ
ejpam-6602	100	16	convergence	convergence	NOUN
ejpam-6602	100	17	,	,	PUNCT
ejpam-6602	100	18	sensitivity	sensitivity	NOUN
ejpam-6602	100	19	to	to	ADP
ejpam-6602	100	20	parameter	parameter	NOUN
ejpam-6602	100	21	settings	setting	NOUN
ejpam-6602	100	22	,	,	PUNCT
ejpam-6602	100	23	and	and	CCONJ
ejpam-6602	100	24	computational	computational	ADJ
ejpam-6602	100	25	inefficiency	inefficiency	NOUN
ejpam-6602	100	26	in	in	ADP
ejpam-6602	100	27	large	large	ADJ
ejpam-6602	100	28	-	-	PUNCT
ejpam-6602	100	29	scale	scale	NOUN
ejpam-6602	100	30	problems	problem	NOUN
ejpam-6602	100	31	(	(	PUNCT
ejpam-6602	100	32	[	[	X
ejpam-6602	100	33	9	9	NUM
ejpam-6602	100	34	]	]	NUM
ejpam-6602	100	35	)	)	PUNCT
ejpam-6602	100	36	.	.	PUNCT
ejpam-6602	101	1	k.	k.	PROPN
ejpam-6602	101	2	danach	danach	PROPN
ejpam-6602	101	3	et	et	PROPN
ejpam-6602	101	4	al	al	PROPN
ejpam-6602	101	5	.	.	PUNCT
ejpam-6602	101	6	/	/	SYM
ejpam-6602	101	7	eur	eur	PROPN
ejpam-6602	101	8	.	.	PUNCT
ejpam-6602	102	1	j.	j.	PROPN
ejpam-6602	102	2	pure	pure	PROPN
ejpam-6602	102	3	appl	appl	PROPN
ejpam-6602	102	4	.	.	PROPN
ejpam-6602	102	5	math	math	PROPN
ejpam-6602	102	6	,	,	PUNCT
ejpam-6602	102	7	18	18	NUM
ejpam-6602	102	8	(	(	PUNCT
ejpam-6602	102	9	3	3	NUM
ejpam-6602	102	10	)	)	PUNCT
ejpam-6602	102	11	(	(	PUNCT
ejpam-6602	102	12	2025	2025	NUM
ejpam-6602	102	13	)	)	PUNCT
ejpam-6602	102	14	,	,	PUNCT
ejpam-6602	102	15	6602	6602	NUM
ejpam-6602	102	16	7	7	NUM
ejpam-6602	102	17	of	of	ADP
ejpam-6602	102	18	37	37	NUM
ejpam-6602	102	19	recently	recently	ADV
ejpam-6602	102	20	,	,	PUNCT
ejpam-6602	102	21	novel	novel	ADJ
ejpam-6602	102	22	metaheuristic	metaheuristic	ADJ
ejpam-6602	102	23	paradigms	paradigm	NOUN
ejpam-6602	102	24	have	have	AUX
ejpam-6602	102	25	emerged	emerge	VERB
ejpam-6602	102	26	to	to	PART
ejpam-6602	102	27	address	address	VERB
ejpam-6602	102	28	some	some	PRON
ejpam-6602	102	29	of	of	ADP
ejpam-6602	102	30	the	the	DET
ejpam-6602	102	31	limitations	limitation	NOUN
ejpam-6602	102	32	of	of	ADP
ejpam-6602	102	33	traditional	traditional	ADJ
ejpam-6602	102	34	approaches	approach	NOUN
ejpam-6602	102	35	by	by	ADP
ejpam-6602	102	36	introducing	introduce	VERB
ejpam-6602	102	37	enhanced	enhance	VERB
ejpam-6602	102	38	mechanisms	mechanism	NOUN
ejpam-6602	102	39	for	for	ADP
ejpam-6602	102	40	balancing	balance	VERB
ejpam-6602	102	41	exploration	exploration	NOUN
ejpam-6602	102	42	and	and	CCONJ
ejpam-6602	102	43	exploitation	exploitation	NOUN
ejpam-6602	102	44	.	.	PUNCT
ejpam-6602	103	1	for	for	ADP
ejpam-6602	103	2	instance	instance	NOUN
ejpam-6602	103	3	,	,	PUNCT
ejpam-6602	103	4	the	the	DET
ejpam-6602	103	5	bio	bio	PROPN
ejpam-6602	103	6	-	-	PUNCT
ejpam-6602	103	7	inspired	inspire	VERB
ejpam-6602	103	8	optimization	optimization	NOUN
ejpam-6602	103	9	through	through	ADP
ejpam-6602	103	10	photosynthesis	photosynthesis	NOUN
ejpam-6602	103	11	leverages	leverage	NOUN
ejpam-6602	103	12	the	the	DET
ejpam-6602	103	13	dynamic	dynamic	ADJ
ejpam-6602	103	14	light	light	NOUN
ejpam-6602	103	15	and	and	CCONJ
ejpam-6602	103	16	dark	dark	ADJ
ejpam-6602	103	17	reactions	reaction	NOUN
ejpam-6602	103	18	of	of	ADP
ejpam-6602	103	19	photosynthetic	photosynthetic	ADJ
ejpam-6602	103	20	processes	process	NOUN
ejpam-6602	103	21	to	to	PART
ejpam-6602	103	22	guide	guide	VERB
ejpam-6602	103	23	solution	solution	NOUN
ejpam-6602	103	24	search	search	NOUN
ejpam-6602	103	25	,	,	PUNCT
ejpam-6602	103	26	enabling	enable	VERB
ejpam-6602	103	27	adaptive	adaptive	ADJ
ejpam-6602	103	28	exploration	exploration	NOUN
ejpam-6602	103	29	of	of	ADP
ejpam-6602	103	30	the	the	DET
ejpam-6602	103	31	solution	solution	NOUN
ejpam-6602	103	32	space	space	NOUN
ejpam-6602	103	33	while	while	SCONJ
ejpam-6602	103	34	preserving	preserve	VERB
ejpam-6602	103	35	diversity	diversity	NOUN
ejpam-6602	103	36	and	and	CCONJ
ejpam-6602	103	37	avoiding	avoid	VERB
ejpam-6602	103	38	stagnation	stagnation	NOUN
ejpam-6602	103	39	[	[	X
ejpam-6602	103	40	30	30	NUM
ejpam-6602	103	41	]	]	PUNCT
ejpam-6602	103	42	.	.	PUNCT
ejpam-6602	104	1	additionally	additionally	ADV
ejpam-6602	104	2	,	,	PUNCT
ejpam-6602	104	3	the	the	DET
ejpam-6602	104	4	quantum	quantum	NOUN
ejpam-6602	104	5	-	-	PUNCT
ejpam-6602	104	6	inspired	inspire	VERB
ejpam-6602	104	7	hyperheuristic	hyperheuristic	ADJ
ejpam-6602	104	8	framework	framework	NOUN
ejpam-6602	104	9	integrates	integrate	NOUN
ejpam-6602	104	10	principles	principle	NOUN
ejpam-6602	104	11	from	from	ADP
ejpam-6602	104	12	quantum	quantum	NOUN
ejpam-6602	104	13	computing	computing	NOUN
ejpam-6602	104	14	with	with	ADP
ejpam-6602	104	15	hyperheuristic	hyperheuristic	ADJ
ejpam-6602	104	16	learning	learn	VERB
ejpam-6602	104	17	to	to	PART
ejpam-6602	104	18	solve	solve	VERB
ejpam-6602	104	19	highly	highly	ADV
ejpam-6602	104	20	dynamic	dynamic	ADJ
ejpam-6602	104	21	,	,	PUNCT
ejpam-6602	104	22	multi	multi	ADJ
ejpam-6602	104	23	-	-	ADJ
ejpam-6602	104	24	objective	objective	ADJ
ejpam-6602	104	25	combinatorial	combinatorial	ADJ
ejpam-6602	104	26	problems	problem	NOUN
ejpam-6602	104	27	,	,	PUNCT
ejpam-6602	104	28	as	as	SCONJ
ejpam-6602	104	29	demonstrated	demonstrate	VERB
ejpam-6602	104	30	in	in	ADP
ejpam-6602	104	31	complex	complex	ADJ
ejpam-6602	104	32	disaster	disaster	NOUN
ejpam-6602	104	33	logistics	logistic	NOUN
ejpam-6602	104	34	scenarios	scenario	NOUN
ejpam-6602	104	35	(	(	PUNCT
ejpam-6602	104	36	[	[	X
ejpam-6602	104	37	31	31	NUM
ejpam-6602	104	38	]	]	PUNCT
ejpam-6602	104	39	)	)	PUNCT
ejpam-6602	104	40	.	.	PUNCT
ejpam-6602	105	1	these	these	DET
ejpam-6602	105	2	advancements	advancement	NOUN
ejpam-6602	105	3	offer	offer	VERB
ejpam-6602	105	4	promising	promise	VERB
ejpam-6602	105	5	directions	direction	NOUN
ejpam-6602	105	6	for	for	ADP
ejpam-6602	105	7	solving	solve	VERB
ejpam-6602	105	8	increasingly	increasingly	ADV
ejpam-6602	105	9	complex	complex	ADJ
ejpam-6602	105	10	and	and	CCONJ
ejpam-6602	105	11	dynamic	dynamic	ADJ
ejpam-6602	105	12	optimization	optimization	NOUN
ejpam-6602	105	13	problems	problem	NOUN
ejpam-6602	105	14	with	with	ADP
ejpam-6602	105	15	improved	improved	ADJ
ejpam-6602	105	16	convergence	convergence	NOUN
ejpam-6602	105	17	behavior	behavior	NOUN
ejpam-6602	105	18	and	and	CCONJ
ejpam-6602	105	19	robustness	robustness	NOUN
ejpam-6602	105	20	.	.	PUNCT
ejpam-6602	106	1	3.2	3.2	NUM
ejpam-6602	106	2	.	.	PUNCT
ejpam-6602	106	3	hybrid	hybrid	ADJ
ejpam-6602	106	4	metaheuristic	metaheuristic	ADJ
ejpam-6602	106	5	strategies	strategy	NOUN
ejpam-6602	106	6	to	to	PART
ejpam-6602	106	7	overcome	overcome	VERB
ejpam-6602	106	8	the	the	DET
ejpam-6602	106	9	limitations	limitation	NOUN
ejpam-6602	106	10	of	of	ADP
ejpam-6602	106	11	single	single	ADJ
ejpam-6602	106	12	-	-	PUNCT
ejpam-6602	106	13	strategy	strategy	NOUN
ejpam-6602	106	14	metaheuristics	metaheuristic	NOUN
ejpam-6602	106	15	,	,	PUNCT
ejpam-6602	106	16	hybridization	hybridization	NOUN
ejpam-6602	106	17	techniques	technique	NOUN
ejpam-6602	106	18	have	have	AUX
ejpam-6602	106	19	been	be	AUX
ejpam-6602	106	20	explored	explore	VERB
ejpam-6602	106	21	.	.	PUNCT
ejpam-6602	107	1	these	these	DET
ejpam-6602	107	2	approaches	approach	NOUN
ejpam-6602	107	3	combine	combine	VERB
ejpam-6602	107	4	multiple	multiple	ADJ
ejpam-6602	107	5	optimization	optimization	NOUN
ejpam-6602	107	6	strategies	strategy	NOUN
ejpam-6602	107	7	to	to	PART
ejpam-6602	107	8	leverage	leverage	VERB
ejpam-6602	107	9	their	their	PRON
ejpam-6602	107	10	complementary	complementary	ADJ
ejpam-6602	107	11	strengths	strength	NOUN
ejpam-6602	107	12	and	and	CCONJ
ejpam-6602	107	13	improve	improve	VERB
ejpam-6602	107	14	robustness	robustness	NOUN
ejpam-6602	107	15	in	in	ADP
ejpam-6602	107	16	complex	complex	ADJ
ejpam-6602	107	17	search	search	NOUN
ejpam-6602	107	18	spaces	space	NOUN
ejpam-6602	107	19	(	(	PUNCT
ejpam-6602	107	20	[	[	X
ejpam-6602	107	21	12	12	NUM
ejpam-6602	107	22	,	,	PUNCT
ejpam-6602	107	23	32	32	NUM
ejpam-6602	107	24	]	]	PUNCT
ejpam-6602	107	25	)	)	PUNCT
ejpam-6602	107	26	.	.	PUNCT
ejpam-6602	108	1	•	•	NUM
ejpam-6602	108	2	memetic	memetic	ADJ
ejpam-6602	108	3	algorithms	algorithm	NOUN
ejpam-6602	108	4	(	(	PUNCT
ejpam-6602	108	5	ma	ma	PROPN
ejpam-6602	108	6	):	):	PUNCT
ejpam-6602	108	7	combining	combine	VERB
ejpam-6602	108	8	genetic	genetic	ADJ
ejpam-6602	108	9	algorithms	algorithm	NOUN
ejpam-6602	108	10	(	(	PUNCT
ejpam-6602	108	11	ga	ga	NOUN
ejpam-6602	108	12	)	)	PUNCT
ejpam-6602	108	13	with	with	ADP
ejpam-6602	108	14	local	local	ADJ
ejpam-6602	108	15	search	search	NOUN
ejpam-6602	108	16	techniques	technique	NOUN
ejpam-6602	108	17	enhances	enhance	VERB
ejpam-6602	108	18	solution	solution	NOUN
ejpam-6602	108	19	refinement	refinement	NOUN
ejpam-6602	108	20	and	and	CCONJ
ejpam-6602	108	21	convergence	convergence	NOUN
ejpam-6602	108	22	speed	speed	NOUN
ejpam-6602	108	23	(	(	PUNCT
ejpam-6602	108	24	[	[	X
ejpam-6602	108	25	33	33	NUM
ejpam-6602	108	26	]	]	NUM
ejpam-6602	108	27	)	)	PUNCT
ejpam-6602	108	28	.	.	PUNCT
ejpam-6602	109	1	mas	mas	PROPN
ejpam-6602	109	2	have	have	AUX
ejpam-6602	109	3	been	be	AUX
ejpam-6602	109	4	successfully	successfully	ADV
ejpam-6602	109	5	applied	apply	VERB
ejpam-6602	109	6	to	to	ADP
ejpam-6602	109	7	job	job	NOUN
ejpam-6602	109	8	-	-	PUNCT
ejpam-6602	109	9	shop	shop	NOUN
ejpam-6602	109	10	scheduling	scheduling	NOUN
ejpam-6602	109	11	and	and	CCONJ
ejpam-6602	109	12	network	network	NOUN
ejpam-6602	109	13	design	design	NOUN
ejpam-6602	109	14	(	(	PUNCT
ejpam-6602	109	15	[	[	X
ejpam-6602	109	16	34	34	NUM
ejpam-6602	109	17	]	]	NOUN
ejpam-6602	109	18	)	)	PUNCT
ejpam-6602	109	19	.	.	PUNCT
ejpam-6602	110	1	•	•	NUM
ejpam-6602	110	2	evolutionary	evolutionary	ADJ
ejpam-6602	110	3	hybridization	hybridization	NOUN
ejpam-6602	110	4	:	:	PUNCT
ejpam-6602	110	5	studies	study	NOUN
ejpam-6602	110	6	have	have	AUX
ejpam-6602	110	7	integrated	integrate	VERB
ejpam-6602	110	8	ga	ga	PROPN
ejpam-6602	110	9	with	with	ADP
ejpam-6602	110	10	pso	pso	NOUN
ejpam-6602	110	11	for	for	ADP
ejpam-6602	110	12	dynamic	dynamic	ADJ
ejpam-6602	110	13	optimization	optimization	NOUN
ejpam-6602	110	14	problems	problem	NOUN
ejpam-6602	110	15	,	,	PUNCT
ejpam-6602	110	16	achieving	achieve	VERB
ejpam-6602	110	17	better	well	ADJ
ejpam-6602	110	18	diversity	diversity	NOUN
ejpam-6602	110	19	maintenance	maintenance	NOUN
ejpam-6602	110	20	(	(	PUNCT
ejpam-6602	110	21	[	[	X
ejpam-6602	110	22	35	35	NUM
ejpam-6602	110	23	]	]	SYM
ejpam-6602	110	24	)	)	PUNCT
ejpam-6602	110	25	.	.	PUNCT
ejpam-6602	111	1	similarly	similarly	ADV
ejpam-6602	111	2	,	,	PUNCT
ejpam-6602	111	3	sa	sa	PROPN
ejpam-6602	111	4	with	with	ADP
ejpam-6602	111	5	aco	aco	PROPN
ejpam-6602	111	6	has	have	AUX
ejpam-6602	111	7	been	be	AUX
ejpam-6602	111	8	used	use	VERB
ejpam-6602	111	9	to	to	PART
ejpam-6602	111	10	improve	improve	VERB
ejpam-6602	111	11	exploration	exploration	NOUN
ejpam-6602	111	12	capabilities	capability	NOUN
ejpam-6602	111	13	in	in	ADP
ejpam-6602	111	14	logistics	logistic	NOUN
ejpam-6602	111	15	and	and	CCONJ
ejpam-6602	111	16	routing	routing	NOUN
ejpam-6602	111	17	problems	problem	NOUN
ejpam-6602	111	18	(	(	PUNCT
ejpam-6602	111	19	[	[	X
ejpam-6602	111	20	36	36	NUM
ejpam-6602	111	21	]	]	NUM
ejpam-6602	111	22	)	)	PUNCT
ejpam-6602	111	23	.	.	PUNCT
ejpam-6602	112	1	•	•	NUM
ejpam-6602	112	2	hyper	hyper	ADJ
ejpam-6602	112	3	-	-	ADJ
ejpam-6602	112	4	heuristic	heuristic	ADJ
ejpam-6602	112	5	approaches	approach	NOUN
ejpam-6602	112	6	:	:	PUNCT
ejpam-6602	112	7	these	these	DET
ejpam-6602	112	8	methods	method	NOUN
ejpam-6602	112	9	automate	automate	VERB
ejpam-6602	112	10	the	the	DET
ejpam-6602	112	11	selection	selection	NOUN
ejpam-6602	112	12	and	and	CCONJ
ejpam-6602	112	13	adaptation	adaptation	NOUN
ejpam-6602	112	14	of	of	ADP
ejpam-6602	112	15	low	low	ADJ
ejpam-6602	112	16	-	-	PUNCT
ejpam-6602	112	17	level	level	NOUN
ejpam-6602	112	18	heuristics	heuristic	NOUN
ejpam-6602	112	19	,	,	PUNCT
ejpam-6602	112	20	making	make	VERB
ejpam-6602	112	21	optimization	optimization	NOUN
ejpam-6602	112	22	frameworks	framework	NOUN
ejpam-6602	112	23	more	more	ADV
ejpam-6602	112	24	flexible	flexible	ADJ
ejpam-6602	112	25	across	across	ADP
ejpam-6602	112	26	diverse	diverse	ADJ
ejpam-6602	112	27	problem	problem	NOUN
ejpam-6602	112	28	domains	domain	NOUN
ejpam-6602	112	29	(	(	PUNCT
ejpam-6602	112	30	[	[	X
ejpam-6602	112	31	37–40	37–40	NUM
ejpam-6602	112	32	]	]	PUNCT
ejpam-6602	112	33	)	)	PUNCT
ejpam-6602	112	34	.	.	PUNCT
ejpam-6602	113	1	they	they	PRON
ejpam-6602	113	2	have	have	AUX
ejpam-6602	113	3	proven	prove	VERB
ejpam-6602	113	4	particularly	particularly	ADV
ejpam-6602	113	5	effective	effective	ADJ
ejpam-6602	113	6	in	in	ADP
ejpam-6602	113	7	realtime	realtime	ADJ
ejpam-6602	113	8	combinatorial	combinatorial	ADJ
ejpam-6602	113	9	problems	problem	NOUN
ejpam-6602	113	10	such	such	ADJ
ejpam-6602	113	11	as	as	ADP
ejpam-6602	113	12	dynamic	dynamic	ADJ
ejpam-6602	113	13	scheduling	scheduling	NOUN
ejpam-6602	113	14	and	and	CCONJ
ejpam-6602	113	15	routing	routing	NOUN
ejpam-6602	113	16	(	(	PUNCT
ejpam-6602	113	17	[	[	X
ejpam-6602	113	18	41	41	NUM
ejpam-6602	113	19	]	]	PUNCT
ejpam-6602	113	20	)	)	PUNCT
ejpam-6602	113	21	.	.	PUNCT
ejpam-6602	114	1	in	in	ADP
ejpam-6602	114	2	recent	recent	ADJ
ejpam-6602	114	3	years	year	NOUN
ejpam-6602	114	4	,	,	PUNCT
ejpam-6602	114	5	hybrid	hybrid	ADJ
ejpam-6602	114	6	metaheuristic	metaheuristic	ADJ
ejpam-6602	114	7	strategies	strategy	NOUN
ejpam-6602	114	8	that	that	PRON
ejpam-6602	114	9	integrate	integrate	VERB
ejpam-6602	114	10	multiple	multiple	ADJ
ejpam-6602	114	11	optimization	optimization	NOUN
ejpam-6602	114	12	techniques	technique	NOUN
ejpam-6602	114	13	have	have	AUX
ejpam-6602	114	14	gained	gain	VERB
ejpam-6602	114	15	considerable	considerable	ADJ
ejpam-6602	114	16	attention	attention	NOUN
ejpam-6602	114	17	due	due	ADP
ejpam-6602	114	18	to	to	ADP
ejpam-6602	114	19	their	their	PRON
ejpam-6602	114	20	improved	improved	ADJ
ejpam-6602	114	21	ability	ability	NOUN
ejpam-6602	114	22	to	to	PART
ejpam-6602	114	23	balance	balance	VERB
ejpam-6602	114	24	exploration	exploration	NOUN
ejpam-6602	114	25	and	and	CCONJ
ejpam-6602	114	26	exploitation	exploitation	NOUN
ejpam-6602	114	27	in	in	ADP
ejpam-6602	114	28	complex	complex	ADJ
ejpam-6602	114	29	combinatorial	combinatorial	ADJ
ejpam-6602	114	30	problems	problem	NOUN
ejpam-6602	114	31	.	.	PUNCT
ejpam-6602	115	1	unlike	unlike	ADP
ejpam-6602	115	2	traditional	traditional	ADJ
ejpam-6602	115	3	singlestrategy	singlestrategy	ADJ
ejpam-6602	115	4	metaheuristics	metaheuristic	NOUN
ejpam-6602	115	5	,	,	PUNCT
ejpam-6602	115	6	hybrid	hybrid	ADJ
ejpam-6602	115	7	frameworks	framework	NOUN
ejpam-6602	115	8	dynamically	dynamically	ADV
ejpam-6602	115	9	combine	combine	VERB
ejpam-6602	115	10	diverse	diverse	ADJ
ejpam-6602	115	11	heuristics	heuristic	NOUN
ejpam-6602	115	12	and	and	CCONJ
ejpam-6602	115	13	incorporate	incorporate	VERB
ejpam-6602	115	14	learning	learn	VERB
ejpam-6602	115	15	mechanisms	mechanism	NOUN
ejpam-6602	115	16	to	to	PART
ejpam-6602	115	17	adaptively	adaptively	ADV
ejpam-6602	115	18	guide	guide	VERB
ejpam-6602	115	19	the	the	DET
ejpam-6602	115	20	search	search	NOUN
ejpam-6602	115	21	process	process	NOUN
ejpam-6602	115	22	[	[	X
ejpam-6602	115	23	13	13	NUM
ejpam-6602	115	24	,	,	PUNCT
ejpam-6602	115	25	14	14	NUM
ejpam-6602	115	26	]	]	PUNCT
ejpam-6602	115	27	,	,	PUNCT
ejpam-6602	115	28	lu2022	lu2022	NOUN
ejpam-6602	115	29	.	.	PUNCT
ejpam-6602	116	1	particularly	particularly	ADV
ejpam-6602	116	2	,	,	PUNCT
ejpam-6602	116	3	reinforcement	reinforcement	NOUN
ejpam-6602	116	4	learning	learning	NOUN
ejpam-6602	116	5	(	(	PUNCT
ejpam-6602	116	6	rl	rl	NOUN
ejpam-6602	116	7	)	)	PUNCT
ejpam-6602	116	8	has	have	AUX
ejpam-6602	116	9	emerged	emerge	VERB
ejpam-6602	116	10	as	as	ADP
ejpam-6602	116	11	a	a	DET
ejpam-6602	116	12	promising	promising	ADJ
ejpam-6602	116	13	approach	approach	NOUN
ejpam-6602	116	14	for	for	ADP
ejpam-6602	116	15	the	the	DET
ejpam-6602	116	16	adaptive	adaptive	ADJ
ejpam-6602	116	17	selection	selection	NOUN
ejpam-6602	116	18	and	and	CCONJ
ejpam-6602	116	19	tuning	tuning	NOUN
ejpam-6602	116	20	of	of	ADP
ejpam-6602	116	21	metaheuristic	metaheuristic	ADJ
ejpam-6602	116	22	components	component	NOUN
ejpam-6602	116	23	,	,	PUNCT
ejpam-6602	116	24	enabling	enable	VERB
ejpam-6602	116	25	automated	automate	VERB
ejpam-6602	116	26	,	,	PUNCT
ejpam-6602	116	27	problemaware	problemaware	NOUN
ejpam-6602	116	28	optimization	optimization	NOUN
ejpam-6602	116	29	[	[	X
ejpam-6602	116	30	15–17	15–17	NUM
ejpam-6602	116	31	]	]	PUNCT
ejpam-6602	116	32	.	.	PUNCT
ejpam-6602	117	1	these	these	DET
ejpam-6602	117	2	rl	rl	NOUN
ejpam-6602	117	3	-	-	PUNCT
ejpam-6602	117	4	guided	guide	VERB
ejpam-6602	117	5	hybrid	hybrid	ADJ
ejpam-6602	117	6	metaheuristics	metaheuristic	NOUN
ejpam-6602	117	7	not	not	PART
ejpam-6602	117	8	only	only	ADV
ejpam-6602	117	9	enhance	enhance	VERB
ejpam-6602	117	10	solution	solution	NOUN
ejpam-6602	117	11	quality	quality	NOUN
ejpam-6602	117	12	and	and	CCONJ
ejpam-6602	117	13	convergence	convergence	NOUN
ejpam-6602	117	14	speed	speed	NOUN
ejpam-6602	117	15	but	but	CCONJ
ejpam-6602	117	16	also	also	ADV
ejpam-6602	117	17	reduce	reduce	VERB
ejpam-6602	117	18	the	the	DET
ejpam-6602	117	19	need	need	NOUN
ejpam-6602	117	20	for	for	ADP
ejpam-6602	117	21	manual	manual	ADJ
ejpam-6602	117	22	parameter	parameter	NOUN
ejpam-6602	117	23	tuning	tuning	NOUN
ejpam-6602	117	24	,	,	PUNCT
ejpam-6602	117	25	thereby	thereby	ADV
ejpam-6602	117	26	increasing	increase	VERB
ejpam-6602	117	27	generalizability	generalizability	NOUN
ejpam-6602	117	28	across	across	ADP
ejpam-6602	117	29	different	different	ADJ
ejpam-6602	117	30	problem	problem	NOUN
ejpam-6602	117	31	domains	domain	NOUN
ejpam-6602	117	32	[	[	X
ejpam-6602	117	33	18	18	NUM
ejpam-6602	117	34	,	,	PUNCT
ejpam-6602	117	35	42	42	NUM
ejpam-6602	117	36	]	]	PUNCT
ejpam-6602	117	37	.	.	PUNCT
ejpam-6602	118	1	recent	recent	ADJ
ejpam-6602	118	2	works	work	NOUN
ejpam-6602	118	3	have	have	AUX
ejpam-6602	118	4	demonstrated	demonstrate	VERB
ejpam-6602	118	5	that	that	SCONJ
ejpam-6602	118	6	such	such	ADJ
ejpam-6602	118	7	frameworks	framework	NOUN
ejpam-6602	118	8	can	can	AUX
ejpam-6602	118	9	effectively	effectively	ADV
ejpam-6602	118	10	address	address	VERB
ejpam-6602	118	11	computational	computational	ADJ
ejpam-6602	118	12	efficiency	efficiency	NOUN
ejpam-6602	118	13	challenges	challenge	NOUN
ejpam-6602	118	14	in	in	ADP
ejpam-6602	118	15	large	large	ADJ
ejpam-6602	118	16	-	-	PUNCT
ejpam-6602	118	17	scale	scale	NOUN
ejpam-6602	118	18	vehicle	vehicle	NOUN
ejpam-6602	118	19	routing	routing	NOUN
ejpam-6602	118	20	,	,	PUNCT
ejpam-6602	118	21	scheduling	scheduling	NOUN
ejpam-6602	118	22	,	,	PUNCT
ejpam-6602	118	23	and	and	CCONJ
ejpam-6602	118	24	facility	facility	NOUN
ejpam-6602	118	25	location	location	NOUN
ejpam-6602	118	26	problems	problem	NOUN
ejpam-6602	118	27	[	[	X
ejpam-6602	118	28	16	16	NUM
ejpam-6602	118	29	,	,	PUNCT
ejpam-6602	118	30	17	17	NUM
ejpam-6602	118	31	,	,	PUNCT
ejpam-6602	118	32	20	20	NUM
ejpam-6602	118	33	]	]	PUNCT
ejpam-6602	118	34	.	.	PUNCT
ejpam-6602	119	1	overall	overall	ADJ
ejpam-6602	119	2	,	,	PUNCT
ejpam-6602	119	3	hybrid	hybrid	ADJ
ejpam-6602	119	4	metaheuristics	metaheuristic	NOUN
ejpam-6602	119	5	integrating	integrate	VERB
ejpam-6602	119	6	adaptive	adaptive	ADJ
ejpam-6602	119	7	and	and	CCONJ
ejpam-6602	119	8	learning	learning	NOUN
ejpam-6602	119	9	-	-	PUNCT
ejpam-6602	119	10	based	base	VERB
ejpam-6602	119	11	k.	k.	PROPN
ejpam-6602	119	12	danach	danach	PROPN
ejpam-6602	119	13	et	et	PROPN
ejpam-6602	119	14	al	al	PROPN
ejpam-6602	119	15	.	.	PUNCT
ejpam-6602	119	16	/	/	SYM
ejpam-6602	119	17	eur	eur	PROPN
ejpam-6602	119	18	.	.	PUNCT
ejpam-6602	120	1	j.	j.	PROPN
ejpam-6602	120	2	pure	pure	PROPN
ejpam-6602	120	3	appl	appl	PROPN
ejpam-6602	120	4	.	.	PROPN
ejpam-6602	120	5	math	math	PROPN
ejpam-6602	120	6	,	,	PUNCT
ejpam-6602	120	7	18	18	NUM
ejpam-6602	120	8	(	(	PUNCT
ejpam-6602	120	9	3	3	NUM
ejpam-6602	120	10	)	)	PUNCT
ejpam-6602	120	11	(	(	PUNCT
ejpam-6602	120	12	2025	2025	NUM
ejpam-6602	120	13	)	)	PUNCT
ejpam-6602	120	14	,	,	PUNCT
ejpam-6602	120	15	6602	6602	NUM
ejpam-6602	120	16	8	8	NUM
ejpam-6602	120	17	of	of	ADP
ejpam-6602	120	18	37	37	NUM
ejpam-6602	120	19	strategies	strategy	NOUN
ejpam-6602	120	20	represent	represent	VERB
ejpam-6602	120	21	a	a	DET
ejpam-6602	120	22	significant	significant	ADJ
ejpam-6602	120	23	step	step	NOUN
ejpam-6602	120	24	forward	forward	ADV
ejpam-6602	120	25	in	in	ADP
ejpam-6602	120	26	designing	design	VERB
ejpam-6602	120	27	robust	robust	ADJ
ejpam-6602	120	28	,	,	PUNCT
ejpam-6602	120	29	scalable	scalable	ADJ
ejpam-6602	120	30	,	,	PUNCT
ejpam-6602	120	31	and	and	CCONJ
ejpam-6602	120	32	intelligent	intelligent	ADJ
ejpam-6602	120	33	combinatorial	combinatorial	ADJ
ejpam-6602	120	34	optimization	optimization	NOUN
ejpam-6602	120	35	algorithms	algorithm	NOUN
ejpam-6602	120	36	.	.	PUNCT
ejpam-6602	121	1	although	although	SCONJ
ejpam-6602	121	2	hybrid	hybrid	ADJ
ejpam-6602	121	3	metaheuristics	metaheuristic	NOUN
ejpam-6602	121	4	improve	improve	VERB
ejpam-6602	121	5	optimization	optimization	NOUN
ejpam-6602	121	6	performance	performance	NOUN
ejpam-6602	121	7	,	,	PUNCT
ejpam-6602	121	8	they	they	PRON
ejpam-6602	121	9	may	may	AUX
ejpam-6602	121	10	introduce	introduce	VERB
ejpam-6602	121	11	additional	additional	ADJ
ejpam-6602	121	12	computational	computational	ADJ
ejpam-6602	121	13	overhead	overhead	NOUN
ejpam-6602	121	14	and	and	CCONJ
ejpam-6602	121	15	often	often	ADV
ejpam-6602	121	16	require	require	VERB
ejpam-6602	121	17	expert	expert	NOUN
ejpam-6602	121	18	-	-	PUNCT
ejpam-6602	121	19	driven	drive	VERB
ejpam-6602	121	20	parameter	parameter	NOUN
ejpam-6602	121	21	tuning	tuning	NOUN
ejpam-6602	121	22	,	,	PUNCT
ejpam-6602	121	23	which	which	PRON
ejpam-6602	121	24	can	can	AUX
ejpam-6602	121	25	limit	limit	VERB
ejpam-6602	121	26	their	their	PRON
ejpam-6602	121	27	scalability	scalability	NOUN
ejpam-6602	121	28	and	and	CCONJ
ejpam-6602	121	29	ease	ease	NOUN
ejpam-6602	121	30	of	of	ADP
ejpam-6602	121	31	deployment	deployment	NOUN
ejpam-6602	121	32	in	in	ADP
ejpam-6602	121	33	real	real	ADJ
ejpam-6602	121	34	-	-	PUNCT
ejpam-6602	121	35	world	world	NOUN
ejpam-6602	121	36	applications	application	NOUN
ejpam-6602	121	37	.	.	PUNCT
ejpam-6602	122	1	3.3	3.3	NUM
ejpam-6602	122	2	.	.	PUNCT
ejpam-6602	123	1	adaptive	adaptive	ADJ
ejpam-6602	123	2	parameter	parameter	PROPN
ejpam-6602	123	3	control	control	NOUN
ejpam-6602	123	4	in	in	ADP
ejpam-6602	123	5	metaheuristics	metaheuristic	NOUN
ejpam-6602	123	6	the	the	DET
ejpam-6602	123	7	effectiveness	effectiveness	NOUN
ejpam-6602	123	8	of	of	ADP
ejpam-6602	123	9	metaheuristics	metaheuristic	NOUN
ejpam-6602	123	10	heavily	heavily	ADV
ejpam-6602	123	11	depends	depend	VERB
ejpam-6602	123	12	on	on	ADP
ejpam-6602	123	13	parameter	parameter	NOUN
ejpam-6602	123	14	settings	setting	NOUN
ejpam-6602	123	15	,	,	PUNCT
ejpam-6602	123	16	such	such	ADJ
ejpam-6602	123	17	as	as	ADP
ejpam-6602	123	18	mutation	mutation	NOUN
ejpam-6602	123	19	rates	rate	NOUN
ejpam-6602	123	20	,	,	PUNCT
ejpam-6602	123	21	cooling	cool	VERB
ejpam-6602	123	22	schedules	schedule	NOUN
ejpam-6602	123	23	,	,	PUNCT
ejpam-6602	123	24	and	and	CCONJ
ejpam-6602	123	25	swarm	swarm	NOUN
ejpam-6602	123	26	sizes	size	NOUN
ejpam-6602	123	27	.	.	PUNCT
ejpam-6602	124	1	traditionally	traditionally	ADV
ejpam-6602	124	2	,	,	PUNCT
ejpam-6602	124	3	these	these	DET
ejpam-6602	124	4	parameters	parameter	NOUN
ejpam-6602	124	5	are	be	AUX
ejpam-6602	124	6	tuned	tune	VERB
ejpam-6602	124	7	manually	manually	ADV
ejpam-6602	124	8	or	or	CCONJ
ejpam-6602	124	9	set	set	VERB
ejpam-6602	124	10	heuristically	heuristically	ADV
ejpam-6602	124	11	,	,	PUNCT
ejpam-6602	124	12	which	which	PRON
ejpam-6602	124	13	may	may	AUX
ejpam-6602	124	14	not	not	PART
ejpam-6602	124	15	generalize	generalize	VERB
ejpam-6602	124	16	well	well	ADV
ejpam-6602	124	17	across	across	ADP
ejpam-6602	124	18	different	different	ADJ
ejpam-6602	124	19	problem	problem	NOUN
ejpam-6602	124	20	instances	instance	NOUN
ejpam-6602	124	21	(	(	PUNCT
ejpam-6602	124	22	[	[	X
ejpam-6602	124	23	22	22	NUM
ejpam-6602	124	24	]	]	PUNCT
ejpam-6602	124	25	)	)	PUNCT
ejpam-6602	124	26	.	.	PUNCT
ejpam-6602	125	1	to	to	PART
ejpam-6602	125	2	address	address	VERB
ejpam-6602	125	3	this	this	PRON
ejpam-6602	125	4	,	,	PUNCT
ejpam-6602	125	5	adaptive	adaptive	ADJ
ejpam-6602	125	6	parameter	parameter	NOUN
ejpam-6602	125	7	control	control	NOUN
ejpam-6602	125	8	techniques	technique	NOUN
ejpam-6602	125	9	have	have	AUX
ejpam-6602	125	10	been	be	AUX
ejpam-6602	125	11	introduced	introduce	VERB
ejpam-6602	125	12	:	:	PUNCT
ejpam-6602	125	13	•	•	NUM
ejpam-6602	125	14	self	self	NOUN
ejpam-6602	125	15	-	-	PUNCT
ejpam-6602	125	16	adaptive	adaptive	ADJ
ejpam-6602	125	17	strategies	strategy	NOUN
ejpam-6602	125	18	:	:	PUNCT
ejpam-6602	125	19	these	these	DET
ejpam-6602	125	20	methods	method	NOUN
ejpam-6602	125	21	allow	allow	VERB
ejpam-6602	125	22	algorithms	algorithm	NOUN
ejpam-6602	125	23	to	to	PART
ejpam-6602	125	24	dynamically	dynamically	ADV
ejpam-6602	125	25	adjust	adjust	VERB
ejpam-6602	125	26	parameters	parameter	NOUN
ejpam-6602	125	27	based	base	VERB
ejpam-6602	125	28	on	on	ADP
ejpam-6602	125	29	performance	performance	NOUN
ejpam-6602	125	30	feedback	feedback	NOUN
ejpam-6602	125	31	.	.	PUNCT
ejpam-6602	126	1	for	for	ADP
ejpam-6602	126	2	example	example	NOUN
ejpam-6602	126	3	,	,	PUNCT
ejpam-6602	126	4	adaptive	adaptive	ADJ
ejpam-6602	126	5	pso	pso	NOUN
ejpam-6602	126	6	modifies	modify	VERB
ejpam-6602	126	7	inertia	inertia	NOUN
ejpam-6602	126	8	weight	weight	NOUN
ejpam-6602	126	9	dynamically	dynamically	ADV
ejpam-6602	126	10	to	to	PART
ejpam-6602	126	11	balance	balance	VERB
ejpam-6602	126	12	exploration	exploration	NOUN
ejpam-6602	126	13	and	and	CCONJ
ejpam-6602	126	14	exploitation	exploitation	NOUN
ejpam-6602	126	15	(	(	PUNCT
ejpam-6602	126	16	[	[	X
ejpam-6602	126	17	28	28	NUM
ejpam-6602	126	18	]	]	NUM
ejpam-6602	126	19	)	)	PUNCT
ejpam-6602	126	20	.	.	PUNCT
ejpam-6602	127	1	•	•	NUM
ejpam-6602	127	2	fuzzy	fuzzy	ADJ
ejpam-6602	127	3	logic	logic	NOUN
ejpam-6602	127	4	-	-	PUNCT
ejpam-6602	127	5	based	base	VERB
ejpam-6602	127	6	parameter	parameter	NOUN
ejpam-6602	127	7	tuning	tuning	NOUN
ejpam-6602	127	8	:	:	PUNCT
ejpam-6602	127	9	fuzzy	fuzzy	ADJ
ejpam-6602	127	10	systems	system	NOUN
ejpam-6602	127	11	have	have	AUX
ejpam-6602	127	12	been	be	AUX
ejpam-6602	127	13	used	use	VERB
ejpam-6602	127	14	to	to	PART
ejpam-6602	127	15	adjust	adjust	VERB
ejpam-6602	127	16	mutation	mutation	NOUN
ejpam-6602	127	17	rates	rate	NOUN
ejpam-6602	127	18	in	in	ADP
ejpam-6602	127	19	evolutionary	evolutionary	ADJ
ejpam-6602	127	20	algorithms	algorithm	NOUN
ejpam-6602	127	21	,	,	PUNCT
ejpam-6602	127	22	leading	lead	VERB
ejpam-6602	127	23	to	to	ADP
ejpam-6602	127	24	improved	improved	ADJ
ejpam-6602	127	25	robustness	robustness	NOUN
ejpam-6602	127	26	in	in	ADP
ejpam-6602	127	27	dynamic	dynamic	ADJ
ejpam-6602	127	28	environments	environment	NOUN
ejpam-6602	127	29	(	(	PUNCT
ejpam-6602	127	30	[	[	X
ejpam-6602	127	31	43	43	NUM
ejpam-6602	127	32	]	]	SYM
ejpam-6602	127	33	)	)	PUNCT
ejpam-6602	127	34	.	.	PUNCT
ejpam-6602	128	1	•	•	NUM
ejpam-6602	128	2	machine	machine	NOUN
ejpam-6602	128	3	learning	learning	NOUN
ejpam-6602	128	4	-	-	PUNCT
ejpam-6602	128	5	guided	guide	VERB
ejpam-6602	128	6	adaptation	adaptation	NOUN
ejpam-6602	128	7	:	:	PUNCT
ejpam-6602	128	8	reinforcement	reinforcement	NOUN
ejpam-6602	128	9	learning	learning	NOUN
ejpam-6602	128	10	has	have	AUX
ejpam-6602	128	11	been	be	AUX
ejpam-6602	128	12	used	use	VERB
ejpam-6602	128	13	to	to	PART
ejpam-6602	128	14	dynamically	dynamically	VERB
ejpam-6602	128	15	select	select	VERB
ejpam-6602	128	16	operators	operator	NOUN
ejpam-6602	128	17	in	in	ADP
ejpam-6602	128	18	hybrid	hybrid	ADJ
ejpam-6602	128	19	metaheuristics	metaheuristic	NOUN
ejpam-6602	128	20	,	,	PUNCT
ejpam-6602	128	21	improving	improve	VERB
ejpam-6602	128	22	search	search	NOUN
ejpam-6602	128	23	efficiency	efficiency	NOUN
ejpam-6602	128	24	(	(	PUNCT
ejpam-6602	128	25	[	[	X
ejpam-6602	128	26	14	14	NUM
ejpam-6602	128	27	]	]	NUM
ejpam-6602	128	28	)	)	PUNCT
ejpam-6602	128	29	.	.	PUNCT
ejpam-6602	129	1	recent	recent	ADJ
ejpam-6602	129	2	research	research	NOUN
ejpam-6602	129	3	has	have	AUX
ejpam-6602	129	4	increasingly	increasingly	ADV
ejpam-6602	129	5	focused	focus	VERB
ejpam-6602	129	6	on	on	ADP
ejpam-6602	129	7	deep	deep	ADJ
ejpam-6602	129	8	reinforcement	reinforcement	NOUN
ejpam-6602	129	9	learning	learning	NOUN
ejpam-6602	129	10	(	(	PUNCT
ejpam-6602	129	11	drl	drl	PROPN
ejpam-6602	129	12	)	)	PUNCT
ejpam-6602	129	13	as	as	ADP
ejpam-6602	129	14	a	a	DET
ejpam-6602	129	15	principled	principled	ADJ
ejpam-6602	129	16	mechanism	mechanism	NOUN
ejpam-6602	129	17	for	for	ADP
ejpam-6602	129	18	adaptive	adaptive	ADJ
ejpam-6602	129	19	parameter	parameter	NOUN
ejpam-6602	129	20	control	control	NOUN
ejpam-6602	129	21	in	in	ADP
ejpam-6602	129	22	metaheuristics	metaheuristic	NOUN
ejpam-6602	129	23	.	.	PUNCT
ejpam-6602	130	1	unlike	unlike	ADP
ejpam-6602	130	2	traditional	traditional	ADJ
ejpam-6602	130	3	rule	rule	NOUN
ejpam-6602	130	4	-	-	PUNCT
ejpam-6602	130	5	based	base	VERB
ejpam-6602	130	6	or	or	CCONJ
ejpam-6602	130	7	static	static	ADJ
ejpam-6602	130	8	tuning	tuning	NOUN
ejpam-6602	130	9	methods	method	NOUN
ejpam-6602	130	10	[	[	X
ejpam-6602	130	11	19	19	NUM
ejpam-6602	130	12	,	,	PUNCT
ejpam-6602	130	13	44	44	NUM
ejpam-6602	130	14	]	]	PUNCT
ejpam-6602	130	15	,	,	PUNCT
ejpam-6602	130	16	drl	drl	PROPN
ejpam-6602	130	17	formulates	formulate	VERB
ejpam-6602	130	18	parameter	parameter	NOUN
ejpam-6602	130	19	adaptation	adaptation	NOUN
ejpam-6602	130	20	as	as	ADP
ejpam-6602	130	21	a	a	DET
ejpam-6602	130	22	sequential	sequential	ADJ
ejpam-6602	130	23	decision	decision	NOUN
ejpam-6602	130	24	-	-	PUNCT
ejpam-6602	130	25	making	making	NOUN
ejpam-6602	130	26	problem	problem	NOUN
ejpam-6602	130	27	,	,	PUNCT
ejpam-6602	130	28	where	where	SCONJ
ejpam-6602	130	29	an	an	DET
ejpam-6602	130	30	agent	agent	NOUN
ejpam-6602	130	31	learns	learn	VERB
ejpam-6602	130	32	optimal	optimal	ADJ
ejpam-6602	130	33	adjustment	adjustment	NOUN
ejpam-6602	130	34	policies	policy	NOUN
ejpam-6602	130	35	based	base	VERB
ejpam-6602	130	36	on	on	ADP
ejpam-6602	130	37	real	real	ADJ
ejpam-6602	130	38	-	-	PUNCT
ejpam-6602	130	39	time	time	NOUN
ejpam-6602	130	40	search	search	NOUN
ejpam-6602	130	41	feedback	feedback	NOUN
ejpam-6602	130	42	[	[	X
ejpam-6602	130	43	15	15	NUM
ejpam-6602	130	44	,	,	PUNCT
ejpam-6602	130	45	45	45	NUM
ejpam-6602	130	46	]	]	PUNCT
ejpam-6602	130	47	.	.	PUNCT
ejpam-6602	131	1	these	these	DET
ejpam-6602	131	2	policies	policy	NOUN
ejpam-6602	131	3	enable	enable	VERB
ejpam-6602	131	4	the	the	DET
ejpam-6602	131	5	algorithm	algorithm	NOUN
ejpam-6602	131	6	to	to	PART
ejpam-6602	131	7	respond	respond	VERB
ejpam-6602	131	8	dynamically	dynamically	ADV
ejpam-6602	131	9	to	to	ADP
ejpam-6602	131	10	changes	change	NOUN
ejpam-6602	131	11	in	in	ADP
ejpam-6602	131	12	search	search	NOUN
ejpam-6602	131	13	progress	progress	NOUN
ejpam-6602	131	14	,	,	PUNCT
ejpam-6602	131	15	promoting	promote	VERB
ejpam-6602	131	16	better	well	ADJ
ejpam-6602	131	17	convergence	convergence	NOUN
ejpam-6602	131	18	behavior	behavior	NOUN
ejpam-6602	131	19	and	and	CCONJ
ejpam-6602	131	20	diversity	diversity	NOUN
ejpam-6602	131	21	preservation	preservation	NOUN
ejpam-6602	131	22	[	[	X
ejpam-6602	131	23	18	18	NUM
ejpam-6602	131	24	,	,	PUNCT
ejpam-6602	131	25	42	42	NUM
ejpam-6602	131	26	]	]	PUNCT
ejpam-6602	131	27	.	.	PUNCT
ejpam-6602	132	1	several	several	ADJ
ejpam-6602	132	2	recent	recent	ADJ
ejpam-6602	132	3	works	work	NOUN
ejpam-6602	132	4	have	have	AUX
ejpam-6602	132	5	shown	show	VERB
ejpam-6602	132	6	that	that	SCONJ
ejpam-6602	132	7	drl	drl	PROPN
ejpam-6602	132	8	-	-	PUNCT
ejpam-6602	132	9	controlled	control	VERB
ejpam-6602	132	10	metaheuristics	metaheuristic	NOUN
ejpam-6602	132	11	consistently	consistently	ADV
ejpam-6602	132	12	outperform	outperform	VERB
ejpam-6602	132	13	static	static	ADJ
ejpam-6602	132	14	or	or	CCONJ
ejpam-6602	132	15	self	self	NOUN
ejpam-6602	132	16	-	-	PUNCT
ejpam-6602	132	17	adaptive	adaptive	ADJ
ejpam-6602	132	18	configurations	configuration	NOUN
ejpam-6602	132	19	,	,	PUNCT
ejpam-6602	132	20	particularly	particularly	ADV
ejpam-6602	132	21	in	in	ADP
ejpam-6602	132	22	large	large	ADJ
ejpam-6602	132	23	-	-	PUNCT
ejpam-6602	132	24	scale	scale	NOUN
ejpam-6602	132	25	problems	problem	NOUN
ejpam-6602	132	26	such	such	ADJ
ejpam-6602	132	27	as	as	ADP
ejpam-6602	132	28	vrp	vrp	PROPN
ejpam-6602	132	29	,	,	PUNCT
ejpam-6602	132	30	jsp	jsp	PROPN
ejpam-6602	132	31	,	,	PUNCT
ejpam-6602	132	32	and	and	CCONJ
ejpam-6602	132	33	flp	flp	PRON
ejpam-6602	133	1	[	[	X
ejpam-6602	133	2	16	16	NUM
ejpam-6602	133	3	,	,	PUNCT
ejpam-6602	133	4	20	20	NUM
ejpam-6602	133	5	]	]	PUNCT
ejpam-6602	133	6	.	.	PUNCT
ejpam-6602	134	1	moreover	moreover	ADV
ejpam-6602	134	2	,	,	PUNCT
ejpam-6602	134	3	hybrid	hybrid	ADJ
ejpam-6602	134	4	strategies	strategy	NOUN
ejpam-6602	134	5	now	now	ADV
ejpam-6602	134	6	combine	combine	VERB
ejpam-6602	134	7	drl	drl	PROPN
ejpam-6602	134	8	-	-	PUNCT
ejpam-6602	134	9	based	base	VERB
ejpam-6602	134	10	parameter	parameter	NOUN
ejpam-6602	134	11	control	control	NOUN
ejpam-6602	134	12	with	with	ADP
ejpam-6602	134	13	adaptive	adaptive	ADJ
ejpam-6602	134	14	heuristic	heuristic	ADJ
ejpam-6602	134	15	selection	selection	NOUN
ejpam-6602	134	16	in	in	ADP
ejpam-6602	134	17	unified	unified	ADJ
ejpam-6602	134	18	frameworks	framework	NOUN
ejpam-6602	134	19	,	,	PUNCT
ejpam-6602	134	20	leading	lead	VERB
ejpam-6602	134	21	to	to	ADP
ejpam-6602	134	22	significant	significant	ADJ
ejpam-6602	134	23	improvements	improvement	NOUN
ejpam-6602	134	24	in	in	ADP
ejpam-6602	134	25	solution	solution	NOUN
ejpam-6602	134	26	quality	quality	NOUN
ejpam-6602	134	27	,	,	PUNCT
ejpam-6602	134	28	robustness	robustness	NOUN
ejpam-6602	134	29	,	,	PUNCT
ejpam-6602	134	30	and	and	CCONJ
ejpam-6602	134	31	computational	computational	ADJ
ejpam-6602	134	32	efficiency	efficiency	NOUN
ejpam-6602	134	33	across	across	ADP
ejpam-6602	134	34	heterogeneous	heterogeneous	ADJ
ejpam-6602	134	35	problem	problem	NOUN
ejpam-6602	134	36	domains	domain	NOUN
ejpam-6602	134	37	[	[	X
ejpam-6602	134	38	15	15	NUM
ejpam-6602	134	39	,	,	PUNCT
ejpam-6602	134	40	16	16	NUM
ejpam-6602	134	41	]	]	PUNCT
ejpam-6602	134	42	.	.	PUNCT
ejpam-6602	135	1	these	these	DET
ejpam-6602	135	2	developments	development	NOUN
ejpam-6602	135	3	position	position	VERB
ejpam-6602	135	4	drl	drl	PROPN
ejpam-6602	135	5	-	-	PUNCT
ejpam-6602	135	6	based	base	VERB
ejpam-6602	135	7	parameter	parameter	NOUN
ejpam-6602	135	8	control	control	NOUN
ejpam-6602	135	9	as	as	ADP
ejpam-6602	135	10	a	a	DET
ejpam-6602	135	11	key	key	ADJ
ejpam-6602	135	12	enabler	enabler	NOUN
ejpam-6602	135	13	for	for	ADP
ejpam-6602	135	14	next	next	ADJ
ejpam-6602	135	15	-	-	PUNCT
ejpam-6602	135	16	generation	generation	NOUN
ejpam-6602	135	17	intelligent	intelligent	ADJ
ejpam-6602	135	18	optimization	optimization	NOUN
ejpam-6602	135	19	systems	system	NOUN
ejpam-6602	135	20	.	.	PUNCT
ejpam-6602	136	1	3.4	3.4	NUM
ejpam-6602	136	2	.	.	PUNCT
ejpam-6602	136	3	reinforcement	reinforcement	NOUN
ejpam-6602	136	4	learning	learning	NOUN
ejpam-6602	136	5	and	and	CCONJ
ejpam-6602	136	6	metaheuristics	metaheuristic	NOUN
ejpam-6602	136	7	reinforcement	reinforcement	NOUN
ejpam-6602	136	8	learning	learning	NOUN
ejpam-6602	136	9	(	(	PUNCT
ejpam-6602	136	10	rl	rl	NOUN
ejpam-6602	136	11	)	)	PUNCT
ejpam-6602	136	12	has	have	AUX
ejpam-6602	136	13	recently	recently	ADV
ejpam-6602	136	14	emerged	emerge	VERB
ejpam-6602	136	15	as	as	ADP
ejpam-6602	136	16	a	a	DET
ejpam-6602	136	17	powerful	powerful	ADJ
ejpam-6602	136	18	tool	tool	NOUN
ejpam-6602	136	19	for	for	ADP
ejpam-6602	136	20	enhancing	enhance	VERB
ejpam-6602	136	21	metaheuristic	metaheuristic	ADJ
ejpam-6602	136	22	optimization	optimization	NOUN
ejpam-6602	136	23	by	by	ADP
ejpam-6602	136	24	enabling	enable	VERB
ejpam-6602	136	25	adaptive	adaptive	ADJ
ejpam-6602	136	26	control	control	NOUN
ejpam-6602	136	27	over	over	ADP
ejpam-6602	136	28	algorithmic	algorithmic	ADJ
ejpam-6602	136	29	behavior	behavior	NOUN
ejpam-6602	136	30	[	[	X
ejpam-6602	136	31	46	46	NUM
ejpam-6602	136	32	]	]	PUNCT
ejpam-6602	136	33	.	.	PUNCT
ejpam-6602	137	1	k.	k.	PROPN
ejpam-6602	137	2	danach	danach	PROPN
ejpam-6602	137	3	et	et	PROPN
ejpam-6602	137	4	al	al	PROPN
ejpam-6602	137	5	.	.	PUNCT
ejpam-6602	137	6	/	/	SYM
ejpam-6602	137	7	eur	eur	PROPN
ejpam-6602	137	8	.	.	PUNCT
ejpam-6602	138	1	j.	j.	PROPN
ejpam-6602	138	2	pure	pure	PROPN
ejpam-6602	138	3	appl	appl	PROPN
ejpam-6602	138	4	.	.	PROPN
ejpam-6602	138	5	math	math	PROPN
ejpam-6602	138	6	,	,	PUNCT
ejpam-6602	138	7	18	18	NUM
ejpam-6602	138	8	(	(	PUNCT
ejpam-6602	138	9	3	3	NUM
ejpam-6602	138	10	)	)	PUNCT
ejpam-6602	138	11	(	(	PUNCT
ejpam-6602	138	12	2025	2025	NUM
ejpam-6602	138	13	)	)	PUNCT
ejpam-6602	138	14	,	,	PUNCT
ejpam-6602	138	15	6602	6602	NUM
ejpam-6602	138	16	9	9	NUM
ejpam-6602	138	17	of	of	ADP
ejpam-6602	138	18	37	37	NUM
ejpam-6602	138	19	rl	rl	NOUN
ejpam-6602	138	20	frameworks	framework	NOUN
ejpam-6602	138	21	are	be	AUX
ejpam-6602	138	22	particularly	particularly	ADV
ejpam-6602	138	23	well	well	ADV
ejpam-6602	138	24	-	-	PUNCT
ejpam-6602	138	25	suited	suit	VERB
ejpam-6602	138	26	to	to	ADP
ejpam-6602	138	27	dynamic	dynamic	ADJ
ejpam-6602	138	28	decision	decision	NOUN
ejpam-6602	138	29	-	-	PUNCT
ejpam-6602	138	30	making	making	NOUN
ejpam-6602	138	31	,	,	PUNCT
ejpam-6602	138	32	where	where	SCONJ
ejpam-6602	138	33	the	the	DET
ejpam-6602	138	34	agent	agent	NOUN
ejpam-6602	138	35	learns	learn	VERB
ejpam-6602	138	36	to	to	PART
ejpam-6602	138	37	improve	improve	VERB
ejpam-6602	138	38	solution	solution	NOUN
ejpam-6602	138	39	quality	quality	NOUN
ejpam-6602	138	40	over	over	ADP
ejpam-6602	138	41	time	time	NOUN
ejpam-6602	138	42	through	through	ADP
ejpam-6602	138	43	reward	reward	NOUN
ejpam-6602	138	44	signals	signal	NOUN
ejpam-6602	138	45	.	.	PUNCT
ejpam-6602	139	1	notable	notable	ADJ
ejpam-6602	139	2	contributions	contribution	NOUN
ejpam-6602	139	3	include	include	VERB
ejpam-6602	139	4	:	:	PUNCT
ejpam-6602	139	5	•	•	DET
ejpam-6602	139	6	q	q	NOUN
ejpam-6602	139	7	-	-	PUNCT
ejpam-6602	139	8	learning	learning	NOUN
ejpam-6602	139	9	for	for	ADP
ejpam-6602	139	10	heuristic	heuristic	ADJ
ejpam-6602	139	11	selection	selection	NOUN
ejpam-6602	139	12	:	:	PUNCT
ejpam-6602	139	13	rl	rl	PROPN
ejpam-6602	139	14	has	have	AUX
ejpam-6602	139	15	been	be	AUX
ejpam-6602	139	16	applied	apply	VERB
ejpam-6602	139	17	to	to	PART
ejpam-6602	139	18	guide	guide	VERB
ejpam-6602	139	19	the	the	DET
ejpam-6602	139	20	selection	selection	NOUN
ejpam-6602	139	21	of	of	ADP
ejpam-6602	139	22	local	local	ADJ
ejpam-6602	139	23	search	search	NOUN
ejpam-6602	139	24	operators	operator	NOUN
ejpam-6602	139	25	in	in	ADP
ejpam-6602	139	26	genetic	genetic	ADJ
ejpam-6602	139	27	algorithms	algorithm	NOUN
ejpam-6602	139	28	,	,	PUNCT
ejpam-6602	139	29	resulting	result	VERB
ejpam-6602	139	30	in	in	ADP
ejpam-6602	139	31	improved	improved	ADJ
ejpam-6602	139	32	convergence	convergence	NOUN
ejpam-6602	139	33	and	and	CCONJ
ejpam-6602	139	34	solution	solution	NOUN
ejpam-6602	139	35	diversity	diversity	NOUN
ejpam-6602	139	36	[	[	X
ejpam-6602	139	37	47	47	NUM
ejpam-6602	139	38	]	]	PUNCT
ejpam-6602	139	39	.	.	PUNCT
ejpam-6602	140	1	•	•	NUM
ejpam-6602	140	2	deep	deep	ADV
ejpam-6602	140	3	rl	rl	X
ejpam-6602	140	4	for	for	ADP
ejpam-6602	140	5	large	large	ADJ
ejpam-6602	140	6	-	-	PUNCT
ejpam-6602	140	7	scale	scale	NOUN
ejpam-6602	140	8	optimization	optimization	NOUN
ejpam-6602	140	9	:	:	PUNCT
ejpam-6602	140	10	deep	deep	ADJ
ejpam-6602	140	11	q	q	NOUN
ejpam-6602	140	12	-	-	PUNCT
ejpam-6602	140	13	networks	network	NOUN
ejpam-6602	140	14	(	(	PUNCT
ejpam-6602	140	15	dqn	dqn	NOUN
ejpam-6602	140	16	)	)	PUNCT
ejpam-6602	140	17	have	have	AUX
ejpam-6602	140	18	been	be	AUX
ejpam-6602	140	19	employed	employ	VERB
ejpam-6602	140	20	to	to	PART
ejpam-6602	140	21	dynamically	dynamically	VERB
ejpam-6602	140	22	fine	fine	ADJ
ejpam-6602	140	23	-	-	PUNCT
ejpam-6602	140	24	tune	tune	NOUN
ejpam-6602	140	25	parameters	parameter	NOUN
ejpam-6602	140	26	for	for	ADP
ejpam-6602	140	27	metaheuristics	metaheuristic	NOUN
ejpam-6602	140	28	in	in	ADP
ejpam-6602	140	29	complex	complex	ADJ
ejpam-6602	140	30	problems	problem	NOUN
ejpam-6602	140	31	such	such	ADJ
ejpam-6602	140	32	as	as	ADP
ejpam-6602	140	33	vehicle	vehicle	NOUN
ejpam-6602	140	34	routing	routing	NOUN
ejpam-6602	140	35	and	and	CCONJ
ejpam-6602	140	36	scheduling	scheduling	NOUN
ejpam-6602	140	37	[	[	X
ejpam-6602	140	38	48	48	NUM
ejpam-6602	140	39	]	]	PUNCT
ejpam-6602	140	40	.	.	PUNCT
ejpam-6602	141	1	•	•	NUM
ejpam-6602	141	2	multi	multi	ADJ
ejpam-6602	141	3	-	-	ADJ
ejpam-6602	141	4	agent	agent	ADJ
ejpam-6602	141	5	rl	rl	X
ejpam-6602	141	6	in	in	ADP
ejpam-6602	141	7	swarm	swarm	NOUN
ejpam-6602	141	8	intelligence	intelligence	NOUN
ejpam-6602	141	9	:	:	PUNCT
ejpam-6602	141	10	multi	multi	ADJ
ejpam-6602	141	11	-	-	ADJ
ejpam-6602	141	12	agent	agent	ADJ
ejpam-6602	141	13	rl	rl	NOUN
ejpam-6602	141	14	frameworks	framework	NOUN
ejpam-6602	141	15	have	have	AUX
ejpam-6602	141	16	been	be	AUX
ejpam-6602	141	17	explored	explore	VERB
ejpam-6602	141	18	to	to	PART
ejpam-6602	141	19	enhance	enhance	VERB
ejpam-6602	141	20	the	the	DET
ejpam-6602	141	21	coordination	coordination	NOUN
ejpam-6602	141	22	and	and	CCONJ
ejpam-6602	141	23	adaptability	adaptability	NOUN
ejpam-6602	141	24	of	of	ADP
ejpam-6602	141	25	swarm	swarm	NOUN
ejpam-6602	141	26	-	-	PUNCT
ejpam-6602	141	27	based	base	VERB
ejpam-6602	141	28	algorithms	algorithm	NOUN
ejpam-6602	141	29	like	like	ADP
ejpam-6602	141	30	pso	pso	NOUN
ejpam-6602	141	31	and	and	CCONJ
ejpam-6602	141	32	aco	aco	PROPN
ejpam-6602	142	1	[	[	X
ejpam-6602	142	2	49	49	NUM
ejpam-6602	142	3	]	]	PUNCT
ejpam-6602	142	4	.	.	PUNCT
ejpam-6602	143	1	despite	despite	SCONJ
ejpam-6602	143	2	these	these	DET
ejpam-6602	143	3	advancements	advancement	NOUN
ejpam-6602	143	4	,	,	PUNCT
ejpam-6602	143	5	integrating	integrate	VERB
ejpam-6602	143	6	rl	rl	NOUN
ejpam-6602	143	7	with	with	ADP
ejpam-6602	143	8	metaheuristics	metaheuristic	NOUN
ejpam-6602	143	9	presents	present	NOUN
ejpam-6602	143	10	challenges	challenge	NOUN
ejpam-6602	143	11	such	such	ADJ
ejpam-6602	143	12	as	as	ADP
ejpam-6602	143	13	increased	increase	VERB
ejpam-6602	143	14	computational	computational	ADJ
ejpam-6602	143	15	overhead	overhead	NOUN
ejpam-6602	143	16	,	,	PUNCT
ejpam-6602	143	17	convergence	convergence	NOUN
ejpam-6602	143	18	instability	instability	NOUN
ejpam-6602	143	19	,	,	PUNCT
ejpam-6602	143	20	and	and	CCONJ
ejpam-6602	143	21	the	the	DET
ejpam-6602	143	22	need	need	NOUN
ejpam-6602	143	23	for	for	ADP
ejpam-6602	143	24	extensive	extensive	ADJ
ejpam-6602	143	25	training	training	NOUN
ejpam-6602	143	26	data	datum	NOUN
ejpam-6602	143	27	[	[	X
ejpam-6602	143	28	50	50	NUM
ejpam-6602	143	29	]	]	PUNCT
ejpam-6602	143	30	.	.	PUNCT
ejpam-6602	144	1	nonetheless	nonetheless	ADV
ejpam-6602	144	2	,	,	PUNCT
ejpam-6602	144	3	recent	recent	ADJ
ejpam-6602	144	4	empirical	empirical	ADJ
ejpam-6602	144	5	studies	study	NOUN
ejpam-6602	144	6	validate	validate	VERB
ejpam-6602	144	7	the	the	DET
ejpam-6602	144	8	performance	performance	NOUN
ejpam-6602	144	9	gains	gain	NOUN
ejpam-6602	144	10	achievable	achievable	ADJ
ejpam-6602	144	11	through	through	ADP
ejpam-6602	144	12	rl	rl	NOUN
ejpam-6602	144	13	-	-	PUNCT
ejpam-6602	144	14	driven	drive	VERB
ejpam-6602	144	15	adaptation	adaptation	NOUN
ejpam-6602	144	16	.	.	PUNCT
ejpam-6602	145	1	for	for	ADP
ejpam-6602	145	2	example	example	NOUN
ejpam-6602	145	3	,	,	PUNCT
ejpam-6602	145	4	[	[	X
ejpam-6602	145	5	51	51	NUM
ejpam-6602	145	6	]	]	PUNCT
ejpam-6602	145	7	showed	show	VERB
ejpam-6602	145	8	that	that	SCONJ
ejpam-6602	145	9	reinforcement	reinforcement	NOUN
ejpam-6602	145	10	learning	learning	NOUN
ejpam-6602	145	11	can	can	AUX
ejpam-6602	145	12	dynamically	dynamically	ADV
ejpam-6602	145	13	adjust	adjust	VERB
ejpam-6602	145	14	metaheuristic	metaheuristic	ADJ
ejpam-6602	145	15	configurations	configuration	NOUN
ejpam-6602	145	16	during	during	ADP
ejpam-6602	145	17	the	the	DET
ejpam-6602	145	18	optimization	optimization	NOUN
ejpam-6602	145	19	process	process	NOUN
ejpam-6602	145	20	,	,	PUNCT
ejpam-6602	145	21	improving	improve	VERB
ejpam-6602	145	22	robustness	robustness	NOUN
ejpam-6602	145	23	and	and	CCONJ
ejpam-6602	145	24	final	final	ADJ
ejpam-6602	145	25	solution	solution	NOUN
ejpam-6602	145	26	quality	quality	NOUN
ejpam-6602	145	27	.	.	PUNCT
ejpam-6602	146	1	similarly	similarly	ADV
ejpam-6602	146	2	,	,	PUNCT
ejpam-6602	146	3	[	[	X
ejpam-6602	146	4	52	52	NUM
ejpam-6602	146	5	]	]	PUNCT
ejpam-6602	146	6	proposed	propose	VERB
ejpam-6602	146	7	a	a	DET
ejpam-6602	146	8	meta	meta	ADJ
ejpam-6602	146	9	-	-	PUNCT
ejpam-6602	146	10	reinforcement	reinforcement	NOUN
ejpam-6602	146	11	learning	learning	NOUN
ejpam-6602	146	12	approach	approach	NOUN
ejpam-6602	146	13	for	for	ADP
ejpam-6602	146	14	selfadaptive	selfadaptive	PROPN
ejpam-6602	146	15	systems	system	NOUN
ejpam-6602	146	16	,	,	PUNCT
ejpam-6602	146	17	achieving	achieve	VERB
ejpam-6602	146	18	better	well	ADJ
ejpam-6602	146	19	generalization	generalization	NOUN
ejpam-6602	146	20	and	and	CCONJ
ejpam-6602	146	21	convergence	convergence	NOUN
ejpam-6602	146	22	in	in	ADP
ejpam-6602	146	23	uncertain	uncertain	ADJ
ejpam-6602	146	24	and	and	CCONJ
ejpam-6602	146	25	dynamic	dynamic	ADJ
ejpam-6602	146	26	environments	environment	NOUN
ejpam-6602	146	27	.	.	PUNCT
ejpam-6602	147	1	building	build	VERB
ejpam-6602	147	2	on	on	ADP
ejpam-6602	147	3	these	these	DET
ejpam-6602	147	4	foundations	foundation	NOUN
ejpam-6602	147	5	,	,	PUNCT
ejpam-6602	147	6	recent	recent	ADJ
ejpam-6602	147	7	research	research	NOUN
ejpam-6602	147	8	has	have	AUX
ejpam-6602	147	9	focused	focus	VERB
ejpam-6602	147	10	on	on	ADP
ejpam-6602	147	11	developing	develop	VERB
ejpam-6602	147	12	flexible	flexible	ADJ
ejpam-6602	147	13	rlenhanced	rlenhance	VERB
ejpam-6602	147	14	hybrid	hybrid	ADJ
ejpam-6602	147	15	metaheuristic	metaheuristic	ADJ
ejpam-6602	147	16	frameworks	framework	NOUN
ejpam-6602	147	17	.	.	PUNCT
ejpam-6602	148	1	these	these	DET
ejpam-6602	148	2	approaches	approach	NOUN
ejpam-6602	148	3	integrate	integrate	VERB
ejpam-6602	148	4	rl	rl	ADP
ejpam-6602	148	5	with	with	ADP
ejpam-6602	148	6	algorithmic	algorithmic	ADJ
ejpam-6602	148	7	components	component	NOUN
ejpam-6602	148	8	such	such	ADJ
ejpam-6602	148	9	as	as	ADP
ejpam-6602	148	10	heuristic	heuristic	ADJ
ejpam-6602	148	11	selection	selection	NOUN
ejpam-6602	148	12	,	,	PUNCT
ejpam-6602	148	13	parameter	parameter	NOUN
ejpam-6602	148	14	control	control	NOUN
ejpam-6602	148	15	,	,	PUNCT
ejpam-6602	148	16	and	and	CCONJ
ejpam-6602	148	17	population	population	NOUN
ejpam-6602	148	18	management	management	NOUN
ejpam-6602	148	19	,	,	PUNCT
ejpam-6602	148	20	enabling	enable	VERB
ejpam-6602	148	21	automated	automate	VERB
ejpam-6602	148	22	and	and	CCONJ
ejpam-6602	148	23	data	data	NOUN
ejpam-6602	148	24	-	-	PUNCT
ejpam-6602	148	25	driven	drive	VERB
ejpam-6602	148	26	optimization	optimization	NOUN
ejpam-6602	148	27	[	[	X
ejpam-6602	148	28	15	15	NUM
ejpam-6602	148	29	,	,	PUNCT
ejpam-6602	148	30	16	16	NUM
ejpam-6602	148	31	,	,	PUNCT
ejpam-6602	148	32	42	42	NUM
ejpam-6602	148	33	,	,	PUNCT
ejpam-6602	148	34	45	45	NUM
ejpam-6602	148	35	]	]	PUNCT
ejpam-6602	148	36	.	.	PUNCT
ejpam-6602	149	1	deep	deep	ADJ
ejpam-6602	149	2	rl	rl	X
ejpam-6602	149	3	techniques	technique	NOUN
ejpam-6602	149	4	,	,	PUNCT
ejpam-6602	149	5	such	such	ADJ
ejpam-6602	149	6	as	as	ADP
ejpam-6602	149	7	policy	policy	NOUN
ejpam-6602	149	8	gradient	gradient	NOUN
ejpam-6602	149	9	and	and	CCONJ
ejpam-6602	149	10	actor	actor	NOUN
ejpam-6602	149	11	-	-	PUNCT
ejpam-6602	149	12	critic	critic	NOUN
ejpam-6602	149	13	methods	method	NOUN
ejpam-6602	149	14	,	,	PUNCT
ejpam-6602	149	15	have	have	AUX
ejpam-6602	149	16	been	be	AUX
ejpam-6602	149	17	applied	apply	VERB
ejpam-6602	149	18	in	in	ADP
ejpam-6602	149	19	multiobjective	multiobjective	ADJ
ejpam-6602	149	20	and	and	CCONJ
ejpam-6602	149	21	dynamic	dynamic	ADJ
ejpam-6602	149	22	scenarios	scenario	NOUN
ejpam-6602	149	23	to	to	PART
ejpam-6602	149	24	outperform	outperform	VERB
ejpam-6602	149	25	traditional	traditional	ADJ
ejpam-6602	149	26	rule	rule	NOUN
ejpam-6602	149	27	-	-	PUNCT
ejpam-6602	149	28	based	base	VERB
ejpam-6602	149	29	strategies	strategy	NOUN
ejpam-6602	149	30	[	[	X
ejpam-6602	149	31	18	18	NUM
ejpam-6602	149	32	,	,	PUNCT
ejpam-6602	149	33	20	20	NUM
ejpam-6602	149	34	]	]	PUNCT
ejpam-6602	149	35	.	.	PUNCT
ejpam-6602	150	1	meta	meta	VERB
ejpam-6602	150	2	-	-	PUNCT
ejpam-6602	150	3	learning	learn	VERB
ejpam-6602	150	4	and	and	CCONJ
ejpam-6602	150	5	automated	automate	VERB
ejpam-6602	150	6	configuration	configuration	NOUN
ejpam-6602	150	7	frameworks	framework	NOUN
ejpam-6602	150	8	have	have	AUX
ejpam-6602	150	9	also	also	ADV
ejpam-6602	150	10	emerged	emerge	VERB
ejpam-6602	150	11	,	,	PUNCT
ejpam-6602	150	12	allowing	allow	VERB
ejpam-6602	150	13	algorithms	algorithm	NOUN
ejpam-6602	150	14	to	to	PART
ejpam-6602	150	15	adapt	adapt	VERB
ejpam-6602	150	16	across	across	ADP
ejpam-6602	150	17	problem	problem	NOUN
ejpam-6602	150	18	types	type	NOUN
ejpam-6602	150	19	(	(	PUNCT
ejpam-6602	150	20	e.g.	e.g.	ADV
ejpam-6602	150	21	,	,	PUNCT
ejpam-6602	150	22	vrp	vrp	PROPN
ejpam-6602	150	23	,	,	PUNCT
ejpam-6602	150	24	jsp	jsp	PROPN
ejpam-6602	150	25	,	,	PUNCT
ejpam-6602	150	26	flp	flp	PROPN
ejpam-6602	150	27	)	)	PUNCT
ejpam-6602	150	28	without	without	ADP
ejpam-6602	150	29	retraining	retrain	VERB
ejpam-6602	150	30	[	[	X
ejpam-6602	150	31	16	16	NUM
ejpam-6602	150	32	,	,	PUNCT
ejpam-6602	150	33	42	42	NUM
ejpam-6602	150	34	]	]	PUNCT
ejpam-6602	150	35	.	.	PUNCT
ejpam-6602	151	1	these	these	DET
ejpam-6602	151	2	studies	study	NOUN
ejpam-6602	151	3	highlight	highlight	VERB
ejpam-6602	151	4	the	the	DET
ejpam-6602	151	5	scalability	scalability	NOUN
ejpam-6602	151	6	and	and	CCONJ
ejpam-6602	151	7	domain	domain	NOUN
ejpam-6602	151	8	generalization	generalization	NOUN
ejpam-6602	151	9	benefits	benefit	NOUN
ejpam-6602	151	10	of	of	ADP
ejpam-6602	151	11	rl	rl	NOUN
ejpam-6602	151	12	-	-	PUNCT
ejpam-6602	151	13	integrated	integrate	VERB
ejpam-6602	151	14	metaheuristics	metaheuristic	NOUN
ejpam-6602	151	15	,	,	PUNCT
ejpam-6602	151	16	setting	set	VERB
ejpam-6602	151	17	a	a	DET
ejpam-6602	151	18	new	new	ADJ
ejpam-6602	151	19	benchmark	benchmark	NOUN
ejpam-6602	151	20	in	in	ADP
ejpam-6602	151	21	intelligent	intelligent	ADJ
ejpam-6602	151	22	combinatorial	combinatorial	ADJ
ejpam-6602	151	23	optimization	optimization	NOUN
ejpam-6602	151	24	.	.	PUNCT
ejpam-6602	152	1	however	however	ADV
ejpam-6602	152	2	,	,	PUNCT
ejpam-6602	152	3	it	it	PRON
ejpam-6602	152	4	is	be	AUX
ejpam-6602	152	5	important	important	ADJ
ejpam-6602	152	6	to	to	PART
ejpam-6602	152	7	acknowledge	acknowledge	VERB
ejpam-6602	152	8	that	that	SCONJ
ejpam-6602	152	9	reinforcement	reinforcement	NOUN
ejpam-6602	152	10	learning	learning	NOUN
ejpam-6602	152	11	introduces	introduce	VERB
ejpam-6602	152	12	computational	computational	ADJ
ejpam-6602	152	13	costs	cost	NOUN
ejpam-6602	152	14	,	,	PUNCT
ejpam-6602	152	15	particularly	particularly	ADV
ejpam-6602	152	16	during	during	ADP
ejpam-6602	152	17	policy	policy	NOUN
ejpam-6602	152	18	training	training	NOUN
ejpam-6602	152	19	and	and	CCONJ
ejpam-6602	152	20	q	q	ADJ
ejpam-6602	152	21	-	-	PUNCT
ejpam-6602	152	22	value	value	NOUN
ejpam-6602	152	23	updates	update	NOUN
ejpam-6602	152	24	.	.	PUNCT
ejpam-6602	153	1	in	in	ADP
ejpam-6602	153	2	our	our	PRON
ejpam-6602	153	3	implementation	implementation	NOUN
ejpam-6602	153	4	(	(	PUNCT
ejpam-6602	153	5	section	section	NOUN
ejpam-6602	153	6	5.5	5.5	NUM
ejpam-6602	153	7	)	)	PUNCT
ejpam-6602	153	8	,	,	PUNCT
ejpam-6602	153	9	this	this	DET
ejpam-6602	153	10	issue	issue	NOUN
ejpam-6602	153	11	is	be	AUX
ejpam-6602	153	12	addressed	address	VERB
ejpam-6602	153	13	through	through	ADP
ejpam-6602	153	14	parallel	parallel	ADJ
ejpam-6602	153	15	computing	computing	NOUN
ejpam-6602	153	16	and	and	CCONJ
ejpam-6602	153	17	asynchronous	asynchronous	ADJ
ejpam-6602	153	18	execution	execution	NOUN
ejpam-6602	153	19	,	,	PUNCT
ejpam-6602	153	20	which	which	PRON
ejpam-6602	153	21	significantly	significantly	ADV
ejpam-6602	153	22	reduce	reduce	VERB
ejpam-6602	153	23	overhead	overhead	ADV
ejpam-6602	153	24	.	.	PUNCT
ejpam-6602	154	1	furthermore	furthermore	ADV
ejpam-6602	154	2	,	,	PUNCT
ejpam-6602	154	3	while	while	SCONJ
ejpam-6602	154	4	rl	rl	X
ejpam-6602	154	5	itself	itself	PRON
ejpam-6602	154	6	requires	require	VERB
ejpam-6602	154	7	setting	set	VERB
ejpam-6602	154	8	hyperparameters	hyperparameter	NOUN
ejpam-6602	154	9	(	(	PUNCT
ejpam-6602	154	10	e.g.	e.g.	ADV
ejpam-6602	154	11	,	,	PUNCT
ejpam-6602	154	12	learning	learn	VERB
ejpam-6602	154	13	rate	rate	NOUN
ejpam-6602	154	14	,	,	PUNCT
ejpam-6602	154	15	discount	discount	NOUN
ejpam-6602	154	16	factor	factor	NOUN
ejpam-6602	154	17	)	)	PUNCT
ejpam-6602	154	18	,	,	PUNCT
ejpam-6602	154	19	our	our	PRON
ejpam-6602	154	20	hmf	hmf	PROPN
ejpam-6602	154	21	framework	framework	NOUN
ejpam-6602	154	22	employs	employ	VERB
ejpam-6602	154	23	domain	domain	NOUN
ejpam-6602	154	24	-	-	PUNCT
ejpam-6602	154	25	agnostic	agnostic	ADJ
ejpam-6602	154	26	state	state	NOUN
ejpam-6602	154	27	representations	representation	NOUN
ejpam-6602	154	28	and	and	CCONJ
ejpam-6602	154	29	reward	reward	NOUN
ejpam-6602	154	30	functions	function	NOUN
ejpam-6602	154	31	,	,	PUNCT
ejpam-6602	154	32	minimizing	minimize	VERB
ejpam-6602	154	33	the	the	DET
ejpam-6602	154	34	need	need	NOUN
ejpam-6602	154	35	for	for	ADP
ejpam-6602	154	36	expert	expert	NOUN
ejpam-6602	154	37	-	-	PUNCT
ejpam-6602	154	38	driven	drive	VERB
ejpam-6602	154	39	configuration	configuration	NOUN
ejpam-6602	154	40	and	and	CCONJ
ejpam-6602	154	41	supporting	support	VERB
ejpam-6602	154	42	cross	cross	ADJ
ejpam-6602	154	43	-	-	ADJ
ejpam-6602	154	44	domain	domain	ADJ
ejpam-6602	154	45	generalizability	generalizability	NOUN
ejpam-6602	154	46	.	.	PUNCT
ejpam-6602	155	1	k.	k.	PROPN
ejpam-6602	155	2	danach	danach	PROPN
ejpam-6602	155	3	et	et	PROPN
ejpam-6602	155	4	al	al	PROPN
ejpam-6602	155	5	.	.	PUNCT
ejpam-6602	155	6	/	/	SYM
ejpam-6602	155	7	eur	eur	PROPN
ejpam-6602	155	8	.	.	PUNCT
ejpam-6602	156	1	j.	j.	PROPN
ejpam-6602	156	2	pure	pure	PROPN
ejpam-6602	156	3	appl	appl	PROPN
ejpam-6602	156	4	.	.	PROPN
ejpam-6602	156	5	math	math	PROPN
ejpam-6602	156	6	,	,	PUNCT
ejpam-6602	156	7	18	18	NUM
ejpam-6602	156	8	(	(	PUNCT
ejpam-6602	156	9	3	3	NUM
ejpam-6602	156	10	)	)	PUNCT
ejpam-6602	156	11	(	(	PUNCT
ejpam-6602	156	12	2025	2025	NUM
ejpam-6602	156	13	)	)	PUNCT
ejpam-6602	156	14	,	,	PUNCT
ejpam-6602	156	15	6602	6602	NUM
ejpam-6602	156	16	10	10	NUM
ejpam-6602	156	17	of	of	ADP
ejpam-6602	156	18	37	37	NUM
ejpam-6602	156	19	3.5	3.5	NUM
ejpam-6602	156	20	.	.	PUNCT
ejpam-6602	157	1	research	research	NOUN
ejpam-6602	157	2	gaps	gap	NOUN
ejpam-6602	157	3	and	and	CCONJ
ejpam-6602	157	4	contributions	contribution	NOUN
ejpam-6602	157	5	based	base	VERB
ejpam-6602	157	6	on	on	ADP
ejpam-6602	157	7	the	the	DET
ejpam-6602	157	8	review	review	NOUN
ejpam-6602	157	9	of	of	ADP
ejpam-6602	157	10	existing	exist	VERB
ejpam-6602	157	11	work	work	NOUN
ejpam-6602	157	12	,	,	PUNCT
ejpam-6602	157	13	several	several	ADJ
ejpam-6602	157	14	research	research	NOUN
ejpam-6602	157	15	gaps	gap	NOUN
ejpam-6602	157	16	remain	remain	VERB
ejpam-6602	157	17	unaddressed	unaddressed	ADJ
ejpam-6602	157	18	:	:	PUNCT
ejpam-6602	157	19	(	(	PUNCT
ejpam-6602	157	20	i	i	NOUN
ejpam-6602	157	21	)	)	PUNCT
ejpam-6602	157	22	lack	lack	NOUN
ejpam-6602	157	23	of	of	ADP
ejpam-6602	157	24	generalized	generalized	ADJ
ejpam-6602	157	25	hybrid	hybrid	ADJ
ejpam-6602	157	26	metaheuristic	metaheuristic	ADJ
ejpam-6602	157	27	frameworks	framework	NOUN
ejpam-6602	157	28	:	:	PUNCT
ejpam-6602	157	29	most	most	ADJ
ejpam-6602	157	30	hybrid	hybrid	ADJ
ejpam-6602	157	31	metaheuristics	metaheuristic	NOUN
ejpam-6602	157	32	are	be	AUX
ejpam-6602	157	33	designed	design	VERB
ejpam-6602	157	34	for	for	ADP
ejpam-6602	157	35	specific	specific	ADJ
ejpam-6602	157	36	problems	problem	NOUN
ejpam-6602	157	37	,	,	PUNCT
ejpam-6602	157	38	limiting	limit	VERB
ejpam-6602	157	39	their	their	PRON
ejpam-6602	157	40	applicability	applicability	NOUN
ejpam-6602	157	41	across	across	ADP
ejpam-6602	157	42	diverse	diverse	ADJ
ejpam-6602	157	43	optimization	optimization	NOUN
ejpam-6602	157	44	tasks	task	NOUN
ejpam-6602	157	45	.	.	PUNCT
ejpam-6602	158	1	(	(	PUNCT
ejpam-6602	158	2	ii	ii	NOUN
ejpam-6602	158	3	)	)	PUNCT
ejpam-6602	158	4	need	need	VERB
ejpam-6602	158	5	for	for	ADP
ejpam-6602	158	6	self	self	NOUN
ejpam-6602	158	7	-	-	PUNCT
ejpam-6602	158	8	adaptive	adaptive	ADJ
ejpam-6602	158	9	heuristic	heuristic	ADJ
ejpam-6602	158	10	selection	selection	NOUN
ejpam-6602	158	11	:	:	PUNCT
ejpam-6602	158	12	current	current	ADJ
ejpam-6602	158	13	approaches	approach	NOUN
ejpam-6602	158	14	require	require	VERB
ejpam-6602	158	15	manual	manual	ADJ
ejpam-6602	158	16	tuning	tuning	NOUN
ejpam-6602	158	17	,	,	PUNCT
ejpam-6602	158	18	which	which	PRON
ejpam-6602	158	19	is	be	AUX
ejpam-6602	158	20	impractical	impractical	ADJ
ejpam-6602	158	21	for	for	ADP
ejpam-6602	158	22	real	real	ADJ
ejpam-6602	158	23	-	-	PUNCT
ejpam-6602	158	24	world	world	NOUN
ejpam-6602	158	25	large	large	ADJ
ejpam-6602	158	26	-	-	PUNCT
ejpam-6602	158	27	scale	scale	NOUN
ejpam-6602	158	28	problems	problem	NOUN
ejpam-6602	158	29	.	.	PUNCT
ejpam-6602	159	1	(	(	PUNCT
ejpam-6602	159	2	iii	iii	X
ejpam-6602	159	3	)	)	PUNCT
ejpam-6602	159	4	trade	trade	NOUN
ejpam-6602	159	5	-	-	PUNCT
ejpam-6602	159	6	off	off	NOUN
ejpam-6602	159	7	between	between	ADP
ejpam-6602	159	8	computational	computational	ADJ
ejpam-6602	159	9	efficiency	efficiency	NOUN
ejpam-6602	159	10	and	and	CCONJ
ejpam-6602	159	11	optimization	optimization	NOUN
ejpam-6602	159	12	quality	quality	NOUN
ejpam-6602	159	13	:	:	PUNCT
ejpam-6602	159	14	reinforcement	reinforcement	NOUN
ejpam-6602	159	15	learning	learning	NOUN
ejpam-6602	159	16	has	have	AUX
ejpam-6602	159	17	improved	improve	VERB
ejpam-6602	159	18	metaheuristics	metaheuristic	NOUN
ejpam-6602	159	19	,	,	PUNCT
ejpam-6602	159	20	but	but	CCONJ
ejpam-6602	159	21	its	its	PRON
ejpam-6602	159	22	impact	impact	NOUN
ejpam-6602	159	23	on	on	ADP
ejpam-6602	159	24	computational	computational	ADJ
ejpam-6602	159	25	efficiency	efficiency	NOUN
ejpam-6602	159	26	remains	remain	VERB
ejpam-6602	159	27	an	an	DET
ejpam-6602	159	28	open	open	ADJ
ejpam-6602	159	29	challenge	challenge	NOUN
ejpam-6602	159	30	.	.	PUNCT
ejpam-6602	160	1	to	to	PART
ejpam-6602	160	2	address	address	VERB
ejpam-6602	160	3	these	these	DET
ejpam-6602	160	4	gaps	gap	NOUN
ejpam-6602	160	5	,	,	PUNCT
ejpam-6602	160	6	this	this	DET
ejpam-6602	160	7	paper	paper	NOUN
ejpam-6602	160	8	proposes	propose	VERB
ejpam-6602	160	9	a	a	DET
ejpam-6602	160	10	novel	novel	ADJ
ejpam-6602	160	11	hybrid	hybrid	ADJ
ejpam-6602	160	12	metaheuristic	metaheuristic	ADJ
ejpam-6602	160	13	framework	framework	NOUN
ejpam-6602	160	14	(	(	PUNCT
ejpam-6602	160	15	hmf	hmf	PROPN
ejpam-6602	160	16	)	)	PUNCT
ejpam-6602	160	17	that	that	SCONJ
ejpam-6602	160	18	:	:	PUNCT
ejpam-6602	160	19	•	•	X
ejpam-6602	160	20	implements	implement	VERB
ejpam-6602	160	21	a	a	DET
ejpam-6602	160	22	self	self	NOUN
ejpam-6602	160	23	-	-	PUNCT
ejpam-6602	160	24	adaptive	adaptive	ADJ
ejpam-6602	160	25	multi	multi	ADJ
ejpam-6602	160	26	-	-	ADJ
ejpam-6602	160	27	strategy	strategy	ADJ
ejpam-6602	160	28	selection	selection	NOUN
ejpam-6602	160	29	mechanism	mechanism	NOUN
ejpam-6602	160	30	to	to	PART
ejpam-6602	160	31	dynamically	dynamically	ADV
ejpam-6602	160	32	choose	choose	VERB
ejpam-6602	160	33	the	the	DET
ejpam-6602	160	34	best	well	ADV
ejpam-6602	160	35	metaheuristic	metaheuristic	ADJ
ejpam-6602	160	36	approach	approach	NOUN
ejpam-6602	160	37	based	base	VERB
ejpam-6602	160	38	on	on	ADP
ejpam-6602	160	39	real	real	ADJ
ejpam-6602	160	40	-	-	PUNCT
ejpam-6602	160	41	time	time	NOUN
ejpam-6602	160	42	performance	performance	NOUN
ejpam-6602	160	43	feedback	feedback	NOUN
ejpam-6602	160	44	.	.	PUNCT
ejpam-6602	161	1	•	•	NUM
ejpam-6602	161	2	integrates	integrates	PROPN
ejpam-6602	161	3	reinforcement	reinforcement	NOUN
ejpam-6602	161	4	learning	learning	NOUN
ejpam-6602	161	5	-	-	PUNCT
ejpam-6602	161	6	based	base	VERB
ejpam-6602	161	7	parameter	parameter	NOUN
ejpam-6602	161	8	tuning	tune	VERB
ejpam-6602	161	9	to	to	PART
ejpam-6602	161	10	enhance	enhance	VERB
ejpam-6602	161	11	adaptability	adaptability	NOUN
ejpam-6602	161	12	and	and	CCONJ
ejpam-6602	161	13	efficiency	efficiency	NOUN
ejpam-6602	161	14	.	.	PUNCT
ejpam-6602	162	1	•	•	NOUN
ejpam-6602	162	2	leverages	leverage	NOUN
ejpam-6602	162	3	parallel	parallel	ADJ
ejpam-6602	162	4	computing	computing	NOUN
ejpam-6602	162	5	to	to	PART
ejpam-6602	162	6	balance	balance	VERB
ejpam-6602	162	7	computational	computational	ADJ
ejpam-6602	162	8	overhead	overhead	NOUN
ejpam-6602	162	9	and	and	CCONJ
ejpam-6602	162	10	optimization	optimization	NOUN
ejpam-6602	162	11	quality	quality	NOUN
ejpam-6602	162	12	.	.	PUNCT
ejpam-6602	163	1	while	while	SCONJ
ejpam-6602	163	2	previous	previous	ADJ
ejpam-6602	163	3	rl	rl	NOUN
ejpam-6602	163	4	-	-	PUNCT
ejpam-6602	163	5	based	base	VERB
ejpam-6602	163	6	hybrid	hybrid	ADJ
ejpam-6602	163	7	metaheuristics	metaheuristic	NOUN
ejpam-6602	163	8	(	(	PUNCT
ejpam-6602	163	9	e.g.	e.g.	ADV
ejpam-6602	163	10	,	,	PUNCT
ejpam-6602	163	11	[	[	X
ejpam-6602	163	12	14	14	NUM
ejpam-6602	163	13	]	]	PUNCT
ejpam-6602	163	14	and	and	CCONJ
ejpam-6602	163	15	[	[	X
ejpam-6602	163	16	51	51	NUM
ejpam-6602	163	17	]	]	PUNCT
ejpam-6602	163	18	)	)	PUNCT
ejpam-6602	163	19	demonstrate	demonstrate	VERB
ejpam-6602	163	20	strong	strong	ADJ
ejpam-6602	163	21	performance	performance	NOUN
ejpam-6602	163	22	on	on	ADP
ejpam-6602	163	23	single	single	ADJ
ejpam-6602	163	24	-	-	PUNCT
ejpam-6602	163	25	problem	problem	NOUN
ejpam-6602	163	26	settings	setting	NOUN
ejpam-6602	163	27	,	,	PUNCT
ejpam-6602	163	28	they	they	PRON
ejpam-6602	163	29	typically	typically	ADV
ejpam-6602	163	30	involve	involve	VERB
ejpam-6602	163	31	off	off	ADP
ejpam-6602	163	32	-	-	PUNCT
ejpam-6602	163	33	line	line	NOUN
ejpam-6602	163	34	learning	learn	VERB
ejpam-6602	163	35	phases	phase	NOUN
ejpam-6602	163	36	or	or	CCONJ
ejpam-6602	163	37	problem	problem	NOUN
ejpam-6602	163	38	-	-	PUNCT
ejpam-6602	163	39	specific	specific	ADJ
ejpam-6602	163	40	operator	operator	NOUN
ejpam-6602	163	41	selection	selection	NOUN
ejpam-6602	163	42	rules	rule	NOUN
ejpam-6602	163	43	.	.	PUNCT
ejpam-6602	164	1	in	in	ADP
ejpam-6602	164	2	contrast	contrast	NOUN
ejpam-6602	164	3	,	,	PUNCT
ejpam-6602	164	4	the	the	DET
ejpam-6602	164	5	proposed	propose	VERB
ejpam-6602	164	6	hmf	hmf	PROPN
ejpam-6602	164	7	framework	framework	NOUN
ejpam-6602	164	8	incorporates	incorporate	VERB
ejpam-6602	164	9	a	a	DET
ejpam-6602	164	10	deep	deep	ADJ
ejpam-6602	164	11	q	q	NOUN
ejpam-6602	164	12	-	-	NOUN
ejpam-6602	164	13	network	network	NOUN
ejpam-6602	164	14	that	that	PRON
ejpam-6602	164	15	learns	learn	VERB
ejpam-6602	164	16	and	and	CCONJ
ejpam-6602	164	17	adapts	adapt	VERB
ejpam-6602	164	18	in	in	ADP
ejpam-6602	164	19	real	real	ADJ
ejpam-6602	164	20	time	time	NOUN
ejpam-6602	164	21	,	,	PUNCT
ejpam-6602	164	22	selecting	select	VERB
ejpam-6602	164	23	both	both	DET
ejpam-6602	164	24	parameter	parameter	NOUN
ejpam-6602	164	25	values	value	NOUN
ejpam-6602	164	26	and	and	CCONJ
ejpam-6602	164	27	heuristic	heuristic	ADJ
ejpam-6602	164	28	operators	operator	NOUN
ejpam-6602	164	29	during	during	ADP
ejpam-6602	164	30	execution	execution	NOUN
ejpam-6602	164	31	without	without	ADP
ejpam-6602	164	32	pre	pre	ADJ
ejpam-6602	164	33	-	-	NOUN
ejpam-6602	164	34	training	training	NOUN
ejpam-6602	164	35	.	.	PUNCT
ejpam-6602	165	1	moreover	moreover	ADV
ejpam-6602	165	2	,	,	PUNCT
ejpam-6602	165	3	most	most	ADJ
ejpam-6602	165	4	prior	prior	ADJ
ejpam-6602	165	5	works	work	NOUN
ejpam-6602	165	6	focus	focus	VERB
ejpam-6602	165	7	on	on	ADP
ejpam-6602	165	8	sequential	sequential	ADJ
ejpam-6602	165	9	optimization	optimization	NOUN
ejpam-6602	165	10	with	with	ADP
ejpam-6602	165	11	limited	limited	ADJ
ejpam-6602	165	12	scalability	scalability	NOUN
ejpam-6602	165	13	,	,	PUNCT
ejpam-6602	165	14	whereas	whereas	SCONJ
ejpam-6602	165	15	hmf	hmf	PROPN
ejpam-6602	165	16	is	be	AUX
ejpam-6602	165	17	explicitly	explicitly	ADV
ejpam-6602	165	18	designed	design	VERB
ejpam-6602	165	19	to	to	PART
ejpam-6602	165	20	run	run	VERB
ejpam-6602	165	21	in	in	ADP
ejpam-6602	165	22	a	a	DET
ejpam-6602	165	23	parallel	parallel	ADJ
ejpam-6602	165	24	computing	computing	NOUN
ejpam-6602	165	25	environment	environment	NOUN
ejpam-6602	165	26	using	use	VERB
ejpam-6602	165	27	mpi	mpi	NOUN
ejpam-6602	165	28	.	.	PUNCT
ejpam-6602	166	1	it	it	PRON
ejpam-6602	166	2	supports	support	VERB
ejpam-6602	166	3	cross	cross	ADJ
ejpam-6602	166	4	-	-	ADJ
ejpam-6602	166	5	problem	problem	ADJ
ejpam-6602	166	6	generalization	generalization	NOUN
ejpam-6602	166	7	—	—	PUNCT
ejpam-6602	166	8	achieving	achieve	VERB
ejpam-6602	166	9	consistent	consistent	ADJ
ejpam-6602	166	10	results	result	NOUN
ejpam-6602	166	11	across	across	ADP
ejpam-6602	166	12	vrp	vrp	PROPN
ejpam-6602	166	13	,	,	PUNCT
ejpam-6602	166	14	flp	flp	PROPN
ejpam-6602	166	15	,	,	PUNCT
ejpam-6602	166	16	and	and	CCONJ
ejpam-6602	166	17	jsp	jsp	PROPN
ejpam-6602	166	18	—	—	PUNCT
ejpam-6602	166	19	and	and	CCONJ
ejpam-6602	166	20	integrates	integrate	VERB
ejpam-6602	166	21	modular	modular	ADJ
ejpam-6602	166	22	heuristic	heuristic	ADJ
ejpam-6602	166	23	logic	logic	NOUN
ejpam-6602	166	24	adaptable	adaptable	ADJ
ejpam-6602	166	25	to	to	PART
ejpam-6602	166	26	diverse	diverse	VERB
ejpam-6602	166	27	problem	problem	NOUN
ejpam-6602	166	28	encodings	encoding	NOUN
ejpam-6602	166	29	.	.	PUNCT
ejpam-6602	167	1	this	this	DET
ejpam-6602	167	2	approach	approach	NOUN
ejpam-6602	167	3	is	be	AUX
ejpam-6602	167	4	expected	expect	VERB
ejpam-6602	167	5	to	to	PART
ejpam-6602	167	6	improve	improve	VERB
ejpam-6602	167	7	solution	solution	NOUN
ejpam-6602	167	8	quality	quality	NOUN
ejpam-6602	167	9	,	,	PUNCT
ejpam-6602	167	10	reduce	reduce	VERB
ejpam-6602	167	11	parameter	parameter	NOUN
ejpam-6602	167	12	sensitivity	sensitivity	NOUN
ejpam-6602	167	13	,	,	PUNCT
ejpam-6602	167	14	and	and	CCONJ
ejpam-6602	167	15	enhance	enhance	VERB
ejpam-6602	167	16	the	the	DET
ejpam-6602	167	17	scalability	scalability	NOUN
ejpam-6602	167	18	of	of	ADP
ejpam-6602	167	19	metaheuristic	metaheuristic	ADJ
ejpam-6602	167	20	optimization	optimization	NOUN
ejpam-6602	167	21	techniques	technique	NOUN
ejpam-6602	167	22	in	in	ADP
ejpam-6602	167	23	real	real	ADJ
ejpam-6602	167	24	-	-	PUNCT
ejpam-6602	167	25	world	world	NOUN
ejpam-6602	167	26	applications	application	NOUN
ejpam-6602	167	27	.	.	PUNCT
ejpam-6602	168	1	4	4	X
ejpam-6602	168	2	.	.	NUM
ejpam-6602	168	3	proposed	propose	VERB
ejpam-6602	168	4	solution	solution	NOUN
ejpam-6602	168	5	approach	approach	VERB
ejpam-6602	168	6	this	this	DET
ejpam-6602	168	7	section	section	NOUN
ejpam-6602	168	8	presents	present	VERB
ejpam-6602	168	9	the	the	DET
ejpam-6602	168	10	proposed	propose	VERB
ejpam-6602	168	11	hybrid	hybrid	ADJ
ejpam-6602	168	12	metaheuristic	metaheuristic	ADJ
ejpam-6602	168	13	framework	framework	NOUN
ejpam-6602	168	14	(	(	PUNCT
ejpam-6602	168	15	hmf	hmf	PROPN
ejpam-6602	168	16	)	)	PUNCT
ejpam-6602	168	17	,	,	PUNCT
ejpam-6602	168	18	which	which	PRON
ejpam-6602	168	19	integrates	integrate	VERB
ejpam-6602	168	20	multiple	multiple	ADJ
ejpam-6602	168	21	optimization	optimization	NOUN
ejpam-6602	168	22	strategies	strategy	NOUN
ejpam-6602	168	23	into	into	ADP
ejpam-6602	168	24	a	a	DET
ejpam-6602	168	25	self	self	NOUN
ejpam-6602	168	26	-	-	PUNCT
ejpam-6602	168	27	adaptive	adaptive	ADJ
ejpam-6602	168	28	mechanism	mechanism	NOUN
ejpam-6602	168	29	for	for	ADP
ejpam-6602	168	30	solving	solve	VERB
ejpam-6602	168	31	largescale	largescale	ADJ
ejpam-6602	168	32	combinatorial	combinatorial	ADJ
ejpam-6602	168	33	optimization	optimization	NOUN
ejpam-6602	168	34	problems	problem	NOUN
ejpam-6602	168	35	(	(	PUNCT
ejpam-6602	168	36	cops	cop	NOUN
ejpam-6602	168	37	)	)	PUNCT
ejpam-6602	168	38	.	.	PUNCT
ejpam-6602	169	1	the	the	DET
ejpam-6602	169	2	framework	framework	NOUN
ejpam-6602	169	3	employs	employ	VERB
ejpam-6602	169	4	reinforcement	reinforcement	NOUN
ejpam-6602	169	5	learning	learning	NOUN
ejpam-6602	169	6	-	-	PUNCT
ejpam-6602	169	7	based	base	VERB
ejpam-6602	169	8	parameter	parameter	NOUN
ejpam-6602	169	9	tuning	tuning	NOUN
ejpam-6602	169	10	and	and	CCONJ
ejpam-6602	169	11	parallel	parallel	ADJ
ejpam-6602	169	12	computing	computing	NOUN
ejpam-6602	169	13	for	for	ADP
ejpam-6602	169	14	enhanced	enhanced	ADJ
ejpam-6602	169	15	scalability	scalability	NOUN
ejpam-6602	169	16	and	and	CCONJ
ejpam-6602	169	17	efficiency	efficiency	NOUN
ejpam-6602	169	18	.	.	PUNCT
ejpam-6602	170	1	k.	k.	PROPN
ejpam-6602	170	2	danach	danach	PROPN
ejpam-6602	170	3	et	et	PROPN
ejpam-6602	171	1	al	al	PROPN
ejpam-6602	171	2	.	.	PUNCT
ejpam-6602	171	3	/	/	SYM
ejpam-6602	171	4	eur	eur	PROPN
ejpam-6602	171	5	.	.	PUNCT
ejpam-6602	172	1	j.	j.	PROPN
ejpam-6602	172	2	pure	pure	PROPN
ejpam-6602	172	3	appl	appl	PROPN
ejpam-6602	172	4	.	.	PROPN
ejpam-6602	172	5	math	math	PROPN
ejpam-6602	172	6	,	,	PUNCT
ejpam-6602	172	7	18	18	NUM
ejpam-6602	172	8	(	(	PUNCT
ejpam-6602	172	9	3	3	NUM
ejpam-6602	172	10	)	)	PUNCT
ejpam-6602	172	11	(	(	PUNCT
ejpam-6602	172	12	2025	2025	NUM
ejpam-6602	172	13	)	)	PUNCT
ejpam-6602	172	14	,	,	PUNCT
ejpam-6602	172	15	6602	6602	NUM
ejpam-6602	172	16	11	11	NUM
ejpam-6602	172	17	of	of	ADP
ejpam-6602	172	18	37	37	NUM
ejpam-6602	172	19	figure	figure	NOUN
ejpam-6602	172	20	1	1	NUM
ejpam-6602	172	21	:	:	PUNCT
ejpam-6602	172	22	flowchart	flowchart	NOUN
ejpam-6602	172	23	of	of	ADP
ejpam-6602	172	24	the	the	DET
ejpam-6602	172	25	proposed	propose	VERB
ejpam-6602	172	26	hybrid	hybrid	ADJ
ejpam-6602	172	27	metaheuristic	metaheuristic	ADJ
ejpam-6602	172	28	framework	framework	NOUN
ejpam-6602	172	29	(	(	PUNCT
ejpam-6602	172	30	hmf	hmf	PROPN
ejpam-6602	172	31	)	)	PUNCT
ejpam-6602	172	32	,	,	PUNCT
ejpam-6602	172	33	showing	show	VERB
ejpam-6602	172	34	interaction	interaction	NOUN
ejpam-6602	172	35	between	between	ADP
ejpam-6602	172	36	problem	problem	NOUN
ejpam-6602	172	37	encoding	encoding	NOUN
ejpam-6602	172	38	,	,	PUNCT
ejpam-6602	172	39	metaheuristic	metaheuristic	ADJ
ejpam-6602	172	40	selection	selection	NOUN
ejpam-6602	172	41	,	,	PUNCT
ejpam-6602	172	42	reinforcement	reinforcement	NOUN
ejpam-6602	172	43	learning	learning	NOUN
ejpam-6602	172	44	-	-	PUNCT
ejpam-6602	172	45	based	base	VERB
ejpam-6602	172	46	adaptation	adaptation	NOUN
ejpam-6602	172	47	,	,	PUNCT
ejpam-6602	172	48	and	and	CCONJ
ejpam-6602	172	49	parallel	parallel	ADJ
ejpam-6602	172	50	execution	execution	NOUN
ejpam-6602	172	51	.	.	PUNCT
ejpam-6602	173	1	4.1	4.1	NUM
ejpam-6602	173	2	.	.	PUNCT
ejpam-6602	173	3	framework	framework	NOUN
ejpam-6602	173	4	overview	overview	VERB
ejpam-6602	173	5	the	the	DET
ejpam-6602	173	6	proposed	propose	VERB
ejpam-6602	173	7	hmf	hmf	PROPN
ejpam-6602	173	8	consists	consist	VERB
ejpam-6602	173	9	of	of	ADP
ejpam-6602	173	10	three	three	NUM
ejpam-6602	173	11	key	key	ADJ
ejpam-6602	173	12	components	component	NOUN
ejpam-6602	173	13	:	:	PUNCT
ejpam-6602	173	14	(	(	PUNCT
ejpam-6602	173	15	i	i	NOUN
ejpam-6602	173	16	)	)	PUNCT
ejpam-6602	173	17	a	a	DET
ejpam-6602	173	18	self	self	NOUN
ejpam-6602	173	19	-	-	PUNCT
ejpam-6602	173	20	adaptive	adaptive	ADJ
ejpam-6602	173	21	multi	multi	ADJ
ejpam-6602	173	22	-	-	ADJ
ejpam-6602	173	23	strategy	strategy	ADJ
ejpam-6602	173	24	module	module	NOUN
ejpam-6602	173	25	that	that	PRON
ejpam-6602	173	26	dynamically	dynamically	ADV
ejpam-6602	173	27	selects	select	NOUN
ejpam-6602	173	28	and	and	CCONJ
ejpam-6602	173	29	combines	combine	VERB
ejpam-6602	173	30	multiple	multiple	ADJ
ejpam-6602	173	31	metaheuristics	metaheuristic	NOUN
ejpam-6602	173	32	.	.	PUNCT
ejpam-6602	174	1	(	(	PUNCT
ejpam-6602	174	2	ii	ii	NOUN
ejpam-6602	174	3	)	)	PUNCT
ejpam-6602	174	4	a	a	DET
ejpam-6602	174	5	reinforcement	reinforcement	NOUN
ejpam-6602	174	6	learning	learning	NOUN
ejpam-6602	174	7	-	-	PUNCT
ejpam-6602	174	8	based	base	VERB
ejpam-6602	174	9	parameter	parameter	NOUN
ejpam-6602	174	10	tuning	tuning	NOUN
ejpam-6602	174	11	mechanism	mechanism	NOUN
ejpam-6602	174	12	to	to	PART
ejpam-6602	174	13	optimize	optimize	VERB
ejpam-6602	174	14	algorithmic	algorithmic	ADJ
ejpam-6602	174	15	parameters	parameter	NOUN
ejpam-6602	174	16	.	.	PUNCT
ejpam-6602	175	1	(	(	PUNCT
ejpam-6602	175	2	iii	iii	X
ejpam-6602	175	3	)	)	PUNCT
ejpam-6602	175	4	a	a	DET
ejpam-6602	175	5	parallel	parallel	ADJ
ejpam-6602	175	6	execution	execution	NOUN
ejpam-6602	175	7	model	model	NOUN
ejpam-6602	175	8	to	to	PART
ejpam-6602	175	9	efficiently	efficiently	ADV
ejpam-6602	175	10	solve	solve	VERB
ejpam-6602	175	11	large	large	ADJ
ejpam-6602	175	12	-	-	PUNCT
ejpam-6602	175	13	scale	scale	NOUN
ejpam-6602	175	14	instances	instance	NOUN
ejpam-6602	175	15	.	.	PUNCT
ejpam-6602	176	1	as	as	SCONJ
ejpam-6602	176	2	shown	show	VERB
ejpam-6602	176	3	in	in	ADP
ejpam-6602	176	4	figure	figure	NOUN
ejpam-6602	176	5	1	1	NUM
ejpam-6602	176	6	,	,	PUNCT
ejpam-6602	176	7	the	the	DET
ejpam-6602	176	8	proposed	propose	VERB
ejpam-6602	176	9	hmf	hmf	PROPN
ejpam-6602	176	10	begins	begin	VERB
ejpam-6602	176	11	by	by	ADP
ejpam-6602	176	12	encoding	encode	VERB
ejpam-6602	176	13	the	the	DET
ejpam-6602	176	14	input	input	NOUN
ejpam-6602	176	15	combinatorial	combinatorial	ADJ
ejpam-6602	176	16	problem	problem	NOUN
ejpam-6602	176	17	,	,	PUNCT
ejpam-6602	176	18	which	which	PRON
ejpam-6602	176	19	is	be	AUX
ejpam-6602	176	20	then	then	ADV
ejpam-6602	176	21	distributed	distribute	VERB
ejpam-6602	176	22	across	across	ADP
ejpam-6602	176	23	a	a	DET
ejpam-6602	176	24	pool	pool	NOUN
ejpam-6602	176	25	of	of	ADP
ejpam-6602	176	26	metaheuristics	metaheuristic	NOUN
ejpam-6602	176	27	.	.	PUNCT
ejpam-6602	177	1	a	a	DET
ejpam-6602	177	2	deep	deep	ADJ
ejpam-6602	177	3	q	q	NOUN
ejpam-6602	177	4	-	-	PUNCT
ejpam-6602	177	5	learning	learn	VERB
ejpam-6602	177	6	module	module	NOUN
ejpam-6602	177	7	evaluates	evaluate	VERB
ejpam-6602	177	8	performance	performance	NOUN
ejpam-6602	177	9	and	and	CCONJ
ejpam-6602	177	10	dynamically	dynamically	ADV
ejpam-6602	177	11	selects	select	NOUN
ejpam-6602	177	12	and	and	CCONJ
ejpam-6602	177	13	tunes	tune	NOUN
ejpam-6602	177	14	algorithms	algorithm	NOUN
ejpam-6602	177	15	based	base	VERB
ejpam-6602	177	16	on	on	ADP
ejpam-6602	177	17	convergence	convergence	NOUN
ejpam-6602	177	18	feedback	feedback	NOUN
ejpam-6602	177	19	.	.	PUNCT
ejpam-6602	178	1	parallel	parallel	ADJ
ejpam-6602	178	2	execution	execution	NOUN
ejpam-6602	178	3	and	and	CCONJ
ejpam-6602	178	4	synchronization	synchronization	NOUN
ejpam-6602	178	5	ensure	ensure	VERB
ejpam-6602	178	6	scalability	scalability	NOUN
ejpam-6602	178	7	,	,	PUNCT
ejpam-6602	178	8	while	while	SCONJ
ejpam-6602	178	9	the	the	DET
ejpam-6602	178	10	reinforcement	reinforcement	NOUN
ejpam-6602	178	11	learning	learn	VERB
ejpam-6602	178	12	controller	controller	NOUN
ejpam-6602	178	13	adapts	adapt	VERB
ejpam-6602	178	14	to	to	ADP
ejpam-6602	178	15	different	different	ADJ
ejpam-6602	178	16	problem	problem	NOUN
ejpam-6602	178	17	structures	structure	NOUN
ejpam-6602	178	18	and	and	CCONJ
ejpam-6602	178	19	search	search	NOUN
ejpam-6602	178	20	dynamics	dynamic	NOUN
ejpam-6602	178	21	.	.	PUNCT
ejpam-6602	179	1	k.	k.	PROPN
ejpam-6602	179	2	danach	danach	PROPN
ejpam-6602	179	3	et	et	PROPN
ejpam-6602	179	4	al	al	PROPN
ejpam-6602	179	5	.	.	PUNCT
ejpam-6602	179	6	/	/	SYM
ejpam-6602	179	7	eur	eur	PROPN
ejpam-6602	179	8	.	.	PUNCT
ejpam-6602	180	1	j.	j.	PROPN
ejpam-6602	180	2	pure	pure	PROPN
ejpam-6602	180	3	appl	appl	PROPN
ejpam-6602	180	4	.	.	PROPN
ejpam-6602	180	5	math	math	PROPN
ejpam-6602	180	6	,	,	PUNCT
ejpam-6602	180	7	18	18	NUM
ejpam-6602	180	8	(	(	PUNCT
ejpam-6602	180	9	3	3	NUM
ejpam-6602	180	10	)	)	PUNCT
ejpam-6602	180	11	(	(	PUNCT
ejpam-6602	180	12	2025	2025	NUM
ejpam-6602	180	13	)	)	PUNCT
ejpam-6602	180	14	,	,	PUNCT
ejpam-6602	180	15	6602	6602	NUM
ejpam-6602	180	16	12	12	NUM
ejpam-6602	180	17	of	of	ADP
ejpam-6602	180	18	37	37	NUM
ejpam-6602	180	19	4.2	4.2	NUM
ejpam-6602	180	20	.	.	PUNCT
ejpam-6602	181	1	mathematical	mathematical	ADJ
ejpam-6602	181	2	formulation	formulation	NOUN
ejpam-6602	181	3	let	let	VERB
ejpam-6602	181	4	x	x	PRON
ejpam-6602	181	5	represent	represent	VERB
ejpam-6602	181	6	the	the	DET
ejpam-6602	181	7	search	search	NOUN
ejpam-6602	181	8	space	space	NOUN
ejpam-6602	181	9	of	of	ADP
ejpam-6602	181	10	a	a	DET
ejpam-6602	181	11	combinatorial	combinatorial	ADJ
ejpam-6602	181	12	optimization	optimization	NOUN
ejpam-6602	181	13	problem	problem	NOUN
ejpam-6602	181	14	,	,	PUNCT
ejpam-6602	181	15	and	and	CCONJ
ejpam-6602	181	16	let	let	VERB
ejpam-6602	181	17	f(x	f(x	PROPN
ejpam-6602	181	18	)	)	PUNCT
ejpam-6602	181	19	be	be	AUX
ejpam-6602	181	20	the	the	DET
ejpam-6602	181	21	objective	objective	ADJ
ejpam-6602	181	22	function	function	NOUN
ejpam-6602	181	23	to	to	PART
ejpam-6602	181	24	be	be	AUX
ejpam-6602	181	25	minimized	minimize	VERB
ejpam-6602	181	26	or	or	CCONJ
ejpam-6602	181	27	maximized	maximize	VERB
ejpam-6602	181	28	.	.	PUNCT
ejpam-6602	182	1	the	the	DET
ejpam-6602	182	2	optimization	optimization	NOUN
ejpam-6602	182	3	problem	problem	NOUN
ejpam-6602	182	4	is	be	AUX
ejpam-6602	182	5	formally	formally	ADV
ejpam-6602	182	6	defined	define	VERB
ejpam-6602	182	7	as	as	ADP
ejpam-6602	182	8	:	:	PUNCT
ejpam-6602	182	9	x=	x=	PROPN
ejpam-6602	182	10	arg	arg	PROPN
ejpam-6602	182	11	min	min	PROPN
ejpam-6602	182	12	x∈ω	x∈ω	PROPN
ejpam-6602	182	13	f(x	f(x	PROPN
ejpam-6602	182	14	)	)	PUNCT
ejpam-6602	182	15	,	,	PUNCT
ejpam-6602	182	16	(	(	PUNCT
ejpam-6602	182	17	1	1	X
ejpam-6602	182	18	)	)	PUNCT
ejpam-6602	182	19	where	where	SCONJ
ejpam-6602	182	20	ω	ω	NOUN
ejpam-6602	182	21	represents	represent	VERB
ejpam-6602	182	22	the	the	DET
ejpam-6602	182	23	feasible	feasible	ADJ
ejpam-6602	182	24	solution	solution	NOUN
ejpam-6602	182	25	space	space	NOUN
ejpam-6602	182	26	.	.	PUNCT
ejpam-6602	183	1	the	the	DET
ejpam-6602	183	2	hmf	hmf	PROPN
ejpam-6602	183	3	pool	pool	NOUN
ejpam-6602	183	4	includes	include	VERB
ejpam-6602	183	5	four	four	NUM
ejpam-6602	183	6	metaheuristics	metaheuristic	NOUN
ejpam-6602	183	7	:	:	PUNCT
ejpam-6602	183	8	genetic	genetic	ADJ
ejpam-6602	183	9	algorithm	algorithm	NOUN
ejpam-6602	183	10	(	(	PUNCT
ejpam-6602	183	11	ga	ga	PROPN
ejpam-6602	183	12	)	)	PUNCT
ejpam-6602	183	13	,	,	PUNCT
ejpam-6602	183	14	simulated	simulate	VERB
ejpam-6602	183	15	annealing	annealing	NOUN
ejpam-6602	183	16	(	(	PUNCT
ejpam-6602	183	17	sa	sa	NOUN
ejpam-6602	183	18	)	)	PUNCT
ejpam-6602	183	19	,	,	PUNCT
ejpam-6602	183	20	particle	particle	NOUN
ejpam-6602	183	21	swarm	swarm	NOUN
ejpam-6602	183	22	optimization	optimization	NOUN
ejpam-6602	183	23	(	(	PUNCT
ejpam-6602	183	24	pso	pso	NOUN
ejpam-6602	183	25	)	)	PUNCT
ejpam-6602	183	26	,	,	PUNCT
ejpam-6602	183	27	and	and	CCONJ
ejpam-6602	183	28	ant	ant	ADJ
ejpam-6602	183	29	colony	colony	NOUN
ejpam-6602	183	30	optimization	optimization	NOUN
ejpam-6602	183	31	(	(	PUNCT
ejpam-6602	183	32	aco	aco	PROPN
ejpam-6602	183	33	)	)	PUNCT
ejpam-6602	183	34	.	.	PUNCT
ejpam-6602	184	1	each	each	PRON
ejpam-6602	184	2	is	be	AUX
ejpam-6602	184	3	implemented	implement	VERB
ejpam-6602	184	4	with	with	ADP
ejpam-6602	184	5	problem	problem	NOUN
ejpam-6602	184	6	-	-	PUNCT
ejpam-6602	184	7	specific	specific	ADJ
ejpam-6602	184	8	encodings	encoding	NOUN
ejpam-6602	184	9	and	and	CCONJ
ejpam-6602	184	10	variation	variation	NOUN
ejpam-6602	184	11	operators	operator	NOUN
ejpam-6602	184	12	.	.	PUNCT
ejpam-6602	185	1	for	for	ADP
ejpam-6602	185	2	example	example	NOUN
ejpam-6602	185	3	,	,	PUNCT
ejpam-6602	185	4	in	in	ADP
ejpam-6602	185	5	the	the	DET
ejpam-6602	185	6	vrp	vrp	NOUN
ejpam-6602	185	7	,	,	PUNCT
ejpam-6602	185	8	solutions	solution	NOUN
ejpam-6602	185	9	are	be	AUX
ejpam-6602	185	10	encoded	encode	VERB
ejpam-6602	185	11	as	as	ADP
ejpam-6602	185	12	customer	customer	NOUN
ejpam-6602	185	13	visit	visit	NOUN
ejpam-6602	185	14	sequences	sequence	NOUN
ejpam-6602	185	15	,	,	PUNCT
ejpam-6602	185	16	while	while	SCONJ
ejpam-6602	185	17	in	in	ADP
ejpam-6602	185	18	jsp	jsp	PROPN
ejpam-6602	185	19	,	,	PUNCT
ejpam-6602	185	20	job	job	NOUN
ejpam-6602	185	21	assignments	assignment	NOUN
ejpam-6602	185	22	are	be	AUX
ejpam-6602	185	23	represented	represent	VERB
ejpam-6602	185	24	as	as	ADP
ejpam-6602	185	25	integer	integer	NOUN
ejpam-6602	185	26	matrices	matrix	NOUN
ejpam-6602	185	27	.	.	PUNCT
ejpam-6602	186	1	the	the	DET
ejpam-6602	186	2	framework	framework	NOUN
ejpam-6602	186	3	adaptively	adaptively	ADV
ejpam-6602	186	4	selects	select	VERB
ejpam-6602	186	5	the	the	DET
ejpam-6602	186	6	best	well	ADV
ejpam-6602	186	7	metaheuristic	metaheuristic	ADJ
ejpam-6602	186	8	at	at	ADP
ejpam-6602	186	9	each	each	DET
ejpam-6602	186	10	iteration	iteration	NOUN
ejpam-6602	186	11	.	.	PUNCT
ejpam-6602	187	1	4.3	4.3	NUM
ejpam-6602	187	2	.	.	PUNCT
ejpam-6602	187	3	self	self	NOUN
ejpam-6602	187	4	-	-	PUNCT
ejpam-6602	187	5	adaptive	adaptive	ADJ
ejpam-6602	187	6	multi	multi	ADJ
ejpam-6602	187	7	-	-	ADJ
ejpam-6602	187	8	strategy	strategy	ADJ
ejpam-6602	187	9	metaheuristic	metaheuristic	ADJ
ejpam-6602	187	10	selection	selection	NOUN
ejpam-6602	187	11	to	to	PART
ejpam-6602	187	12	balance	balance	VERB
ejpam-6602	187	13	exploration	exploration	NOUN
ejpam-6602	187	14	(	(	PUNCT
ejpam-6602	187	15	global	global	ADJ
ejpam-6602	187	16	search	search	NOUN
ejpam-6602	187	17	)	)	PUNCT
ejpam-6602	187	18	and	and	CCONJ
ejpam-6602	187	19	exploitation	exploitation	NOUN
ejpam-6602	187	20	(	(	PUNCT
ejpam-6602	187	21	local	local	ADJ
ejpam-6602	187	22	refinement	refinement	NOUN
ejpam-6602	187	23	)	)	PUNCT
ejpam-6602	187	24	,	,	PUNCT
ejpam-6602	187	25	hmf	hmf	PROPN
ejpam-6602	187	26	dynamically	dynamically	ADV
ejpam-6602	187	27	selects	select	VERB
ejpam-6602	187	28	the	the	DET
ejpam-6602	187	29	best	well	ADV
ejpam-6602	187	30	-	-	PUNCT
ejpam-6602	187	31	performing	perform	VERB
ejpam-6602	187	32	metaheuristic	metaheuristic	NOUN
ejpam-6602	187	33	based	base	VERB
ejpam-6602	187	34	on	on	ADP
ejpam-6602	187	35	an	an	DET
ejpam-6602	187	36	adaptive	adaptive	ADJ
ejpam-6602	187	37	evaluation	evaluation	NOUN
ejpam-6602	187	38	function	function	NOUN
ejpam-6602	187	39	:	:	PUNCT
ejpam-6602	187	40	st	st	PROPN
ejpam-6602	187	41	=	=	NOUN
ejpam-6602	187	42	arg	arg	NOUN
ejpam-6602	187	43	max	max	PROPN
ejpam-6602	187	44	mi∈m	mi∈m	PROPN
ejpam-6602	187	45	perf(mi	perf(mi	PROPN
ejpam-6602	187	46	,	,	PUNCT
ejpam-6602	187	47	t	t	PROPN
ejpam-6602	187	48	)	)	PUNCT
ejpam-6602	187	49	,	,	PUNCT
ejpam-6602	187	50	(	(	PUNCT
ejpam-6602	187	51	2	2	X
ejpam-6602	187	52	)	)	PUNCT
ejpam-6602	187	53	where	where	SCONJ
ejpam-6602	187	54	perf(mi	perf(mi	NOUN
ejpam-6602	187	55	,	,	PUNCT
ejpam-6602	187	56	t	t	PROPN
ejpam-6602	187	57	)	)	PUNCT
ejpam-6602	187	58	denotes	denote	VERB
ejpam-6602	187	59	the	the	DET
ejpam-6602	187	60	real	real	ADJ
ejpam-6602	187	61	-	-	PUNCT
ejpam-6602	187	62	time	time	NOUN
ejpam-6602	187	63	performance	performance	NOUN
ejpam-6602	187	64	of	of	ADP
ejpam-6602	187	65	metaheuristic	metaheuristic	PROPN
ejpam-6602	187	66	mi	mi	PROPN
ejpam-6602	187	67	at	at	ADP
ejpam-6602	187	68	iteration	iteration	PROPN
ejpam-6602	187	69	t	t	PROPN
ejpam-6602	187	70	,	,	PUNCT
ejpam-6602	187	71	evaluated	evaluate	VERB
ejpam-6602	187	72	using	use	VERB
ejpam-6602	187	73	:	:	PUNCT
ejpam-6602	187	74	perf(mi	perf(mi	NOUN
ejpam-6602	187	75	,	,	PUNCT
ejpam-6602	187	76	t	t	PROPN
ejpam-6602	187	77	)	)	PUNCT
ejpam-6602	187	78	=	=	SYM
ejpam-6602	187	79	α	α	PROPN
ejpam-6602	187	80	·	·	SYM
ejpam-6602	187	81	1	1	NUM
ejpam-6602	187	82	f(x	f(x	PROPN
ejpam-6602	187	83	)	)	PUNCT
ejpam-6602	188	1	+	+	CCONJ
ejpam-6602	188	2	β	β	X
ejpam-6602	188	3	·	·	PUNCT
ejpam-6602	188	4	diversity(x	diversity(x	X
ejpam-6602	188	5	)	)	PUNCT
ejpam-6602	188	6	+	+	CCONJ
ejpam-6602	188	7	γ	γ	PROPN
ejpam-6602	188	8	·	·	PUNCT
ejpam-6602	188	9	convergence(t	convergence(t	PROPN
ejpam-6602	188	10	)	)	PUNCT
ejpam-6602	188	11	.	.	PUNCT
ejpam-6602	189	1	(	(	PUNCT
ejpam-6602	189	2	3	3	X
ejpam-6602	189	3	)	)	PUNCT
ejpam-6602	189	4	here	here	ADV
ejpam-6602	189	5	:	:	PUNCT
ejpam-6602	189	6	•	•	NUM
ejpam-6602	189	7	α	α	NOUN
ejpam-6602	189	8	,	,	PUNCT
ejpam-6602	189	9	β	β	X
ejpam-6602	189	10	,	,	PUNCT
ejpam-6602	189	11	γ	γ	PROPN
ejpam-6602	189	12	are	be	AUX
ejpam-6602	189	13	weight	weight	NOUN
ejpam-6602	189	14	factors	factor	NOUN
ejpam-6602	189	15	for	for	ADP
ejpam-6602	189	16	performance	performance	NOUN
ejpam-6602	189	17	metrics	metric	NOUN
ejpam-6602	189	18	.	.	PUNCT
ejpam-6602	190	1	•	•	NUM
ejpam-6602	190	2	diversity(x	diversity(x	NOUN
ejpam-6602	190	3	)	)	PUNCT
ejpam-6602	190	4	measures	measure	VERB
ejpam-6602	190	5	population	population	NOUN
ejpam-6602	190	6	diversity	diversity	NOUN
ejpam-6602	190	7	to	to	PART
ejpam-6602	190	8	prevent	prevent	VERB
ejpam-6602	190	9	premature	premature	ADJ
ejpam-6602	190	10	convergence	convergence	NOUN
ejpam-6602	190	11	.	.	PUNCT
ejpam-6602	191	1	•	•	NUM
ejpam-6602	191	2	convergence(t	convergence(t	PROPN
ejpam-6602	191	3	)	)	PUNCT
ejpam-6602	191	4	assesses	assess	VERB
ejpam-6602	191	5	improvement	improvement	NOUN
ejpam-6602	191	6	over	over	ADP
ejpam-6602	191	7	previous	previous	ADJ
ejpam-6602	191	8	iterations	iteration	NOUN
ejpam-6602	191	9	.	.	PUNCT
ejpam-6602	192	1	4.4	4.4	NUM
ejpam-6602	192	2	.	.	PUNCT
ejpam-6602	193	1	reinforcement	reinforcement	NOUN
ejpam-6602	193	2	learning	learning	NOUN
ejpam-6602	193	3	-	-	PUNCT
ejpam-6602	193	4	based	base	VERB
ejpam-6602	193	5	heuristic	heuristic	ADJ
ejpam-6602	193	6	and	and	CCONJ
ejpam-6602	193	7	parameter	parameter	NOUN
ejpam-6602	193	8	adaptation	adaptation	NOUN
ejpam-6602	193	9	traditional	traditional	ADJ
ejpam-6602	193	10	metaheuristics	metaheuristic	NOUN
ejpam-6602	193	11	require	require	VERB
ejpam-6602	193	12	extensive	extensive	ADJ
ejpam-6602	193	13	manual	manual	ADJ
ejpam-6602	193	14	parameter	parameter	NOUN
ejpam-6602	193	15	tuning	tuning	NOUN
ejpam-6602	193	16	,	,	PUNCT
ejpam-6602	193	17	which	which	PRON
ejpam-6602	193	18	is	be	AUX
ejpam-6602	193	19	computationally	computationally	ADV
ejpam-6602	193	20	expensive	expensive	ADJ
ejpam-6602	193	21	and	and	CCONJ
ejpam-6602	193	22	problem	problem	NOUN
ejpam-6602	193	23	-	-	PUNCT
ejpam-6602	193	24	specific	specific	ADJ
ejpam-6602	193	25	.	.	PUNCT
ejpam-6602	194	1	to	to	PART
ejpam-6602	194	2	address	address	VERB
ejpam-6602	194	3	this	this	PRON
ejpam-6602	194	4	,	,	PUNCT
ejpam-6602	194	5	we	we	PRON
ejpam-6602	194	6	employ	employ	VERB
ejpam-6602	194	7	a	a	DET
ejpam-6602	194	8	reinforcement	reinforcement	NOUN
ejpam-6602	194	9	learning	learning	NOUN
ejpam-6602	194	10	(	(	PUNCT
ejpam-6602	194	11	rl	rl	NOUN
ejpam-6602	194	12	)	)	PUNCT
ejpam-6602	194	13	agent	agent	NOUN
ejpam-6602	194	14	to	to	PART
ejpam-6602	194	15	dynamically	dynamically	ADV
ejpam-6602	194	16	adjust	adjust	VERB
ejpam-6602	194	17	both	both	PRON
ejpam-6602	194	18	algorithmic	algorithmic	ADJ
ejpam-6602	194	19	parameters	parameter	NOUN
ejpam-6602	194	20	and	and	CCONJ
ejpam-6602	194	21	metaheuristic	metaheuristic	ADJ
ejpam-6602	194	22	selection	selection	NOUN
ejpam-6602	194	23	.	.	PUNCT
ejpam-6602	195	1	the	the	DET
ejpam-6602	195	2	rl	rl	PROPN
ejpam-6602	195	3	agent	agent	NOUN
ejpam-6602	195	4	is	be	AUX
ejpam-6602	195	5	implemented	implement	VERB
ejpam-6602	195	6	using	use	VERB
ejpam-6602	195	7	a	a	DET
ejpam-6602	195	8	deep	deep	ADJ
ejpam-6602	195	9	q	q	NOUN
ejpam-6602	195	10	-	-	PUNCT
ejpam-6602	195	11	network	network	NOUN
ejpam-6602	195	12	(	(	PUNCT
ejpam-6602	195	13	dqn	dqn	PROPN
ejpam-6602	195	14	)	)	PUNCT
ejpam-6602	195	15	that	that	PRON
ejpam-6602	195	16	simultaneously	simultaneously	ADV
ejpam-6602	195	17	learns	learn	VERB
ejpam-6602	195	18	which	which	PRON
ejpam-6602	195	19	metaheuristic	metaheuristic	ADJ
ejpam-6602	195	20	to	to	PART
ejpam-6602	195	21	invoke	invoke	VERB
ejpam-6602	195	22	and	and	CCONJ
ejpam-6602	195	23	which	which	DET
ejpam-6602	195	24	parameter	parameter	NOUN
ejpam-6602	195	25	adjustments	adjustment	NOUN
ejpam-6602	195	26	to	to	PART
ejpam-6602	195	27	apply	apply	VERB
ejpam-6602	195	28	based	base	VERB
ejpam-6602	195	29	on	on	ADP
ejpam-6602	195	30	performance	performance	NOUN
ejpam-6602	195	31	feedback	feedback	NOUN
ejpam-6602	195	32	.	.	PUNCT
ejpam-6602	196	1	k.	k.	PROPN
ejpam-6602	196	2	danach	danach	PROPN
ejpam-6602	196	3	et	et	PROPN
ejpam-6602	196	4	al	al	PROPN
ejpam-6602	196	5	.	.	PUNCT
ejpam-6602	196	6	/	/	SYM
ejpam-6602	196	7	eur	eur	PROPN
ejpam-6602	196	8	.	.	PUNCT
ejpam-6602	197	1	j.	j.	PROPN
ejpam-6602	197	2	pure	pure	PROPN
ejpam-6602	197	3	appl	appl	PROPN
ejpam-6602	197	4	.	.	PROPN
ejpam-6602	197	5	math	math	PROPN
ejpam-6602	197	6	,	,	PUNCT
ejpam-6602	197	7	18	18	NUM
ejpam-6602	197	8	(	(	PUNCT
ejpam-6602	197	9	3	3	NUM
ejpam-6602	197	10	)	)	PUNCT
ejpam-6602	197	11	(	(	PUNCT
ejpam-6602	197	12	2025	2025	NUM
ejpam-6602	197	13	)	)	PUNCT
ejpam-6602	197	14	,	,	PUNCT
ejpam-6602	197	15	6602	6602	NUM
ejpam-6602	197	16	13	13	NUM
ejpam-6602	197	17	of	of	ADP
ejpam-6602	197	18	37	37	NUM
ejpam-6602	197	19	4.4.1	4.4.1	NUM
ejpam-6602	197	20	.	.	PUNCT
ejpam-6602	198	1	state	state	NOUN
ejpam-6602	198	2	representation	representation	NOUN
ejpam-6602	198	3	the	the	DET
ejpam-6602	198	4	state	state	NOUN
ejpam-6602	198	5	space	space	NOUN
ejpam-6602	198	6	consists	consist	VERB
ejpam-6602	198	7	of	of	ADP
ejpam-6602	198	8	:	:	PUNCT
ejpam-6602	198	9	•	•	NUM
ejpam-6602	198	10	current	current	ADJ
ejpam-6602	198	11	algorithm	algorithm	NOUN
ejpam-6602	198	12	configuration	configuration	NOUN
ejpam-6602	198	13	st	st	PROPN
ejpam-6602	198	14	(	(	PUNCT
ejpam-6602	198	15	e.g.	e.g.	ADV
ejpam-6602	198	16	,	,	PUNCT
ejpam-6602	198	17	selected	select	VERB
ejpam-6602	198	18	metaheuristic	metaheuristic	ADJ
ejpam-6602	198	19	)	)	PUNCT
ejpam-6602	198	20	.	.	PUNCT
ejpam-6602	199	1	•	•	NUM
ejpam-6602	199	2	convergence	convergence	NOUN
ejpam-6602	199	3	rate	rate	NOUN
ejpam-6602	199	4	df	df	PROPN
ejpam-6602	199	5	dt	dt	X
ejpam-6602	199	6	.	.	PUNCT
ejpam-6602	200	1	•	•	NUM
ejpam-6602	200	2	solution	solution	NOUN
ejpam-6602	200	3	diversity	diversity	NOUN
ejpam-6602	200	4	diversity(x	diversity(x	PROPN
ejpam-6602	200	5	)	)	PUNCT
ejpam-6602	200	6	.	.	PUNCT
ejpam-6602	201	1	•	•	NUM
ejpam-6602	201	2	recent	recent	ADJ
ejpam-6602	201	3	reward	reward	NOUN
ejpam-6602	201	4	history	history	NOUN
ejpam-6602	201	5	and	and	CCONJ
ejpam-6602	201	6	stagnation	stagnation	NOUN
ejpam-6602	201	7	indicator	indicator	NOUN
ejpam-6602	201	8	.	.	PUNCT
ejpam-6602	202	1	4.4.2	4.4.2	NUM
ejpam-6602	202	2	.	.	PUNCT
ejpam-6602	202	3	action	action	NOUN
ejpam-6602	202	4	space	space	NOUN
ejpam-6602	202	5	the	the	DET
ejpam-6602	202	6	rl	rl	PROPN
ejpam-6602	202	7	agent	agent	NOUN
ejpam-6602	202	8	selects	select	VERB
ejpam-6602	202	9	one	one	NUM
ejpam-6602	202	10	of	of	ADP
ejpam-6602	202	11	the	the	DET
ejpam-6602	202	12	following	following	NOUN
ejpam-6602	202	13	:	:	PUNCT
ejpam-6602	202	14	•	•	ADP
ejpam-6602	202	15	adjust	adjust	VERB
ejpam-6602	202	16	mutation	mutation	NOUN
ejpam-6602	202	17	rate	rate	NOUN
ejpam-6602	202	18	µ	µ	X
ejpam-6602	202	19	in	in	ADP
ejpam-6602	202	20	genetic	genetic	ADJ
ejpam-6602	202	21	algorithms	algorithm	NOUN
ejpam-6602	202	22	.	.	PUNCT
ejpam-6602	203	1	•	•	NUM
ejpam-6602	203	2	modify	modify	VERB
ejpam-6602	203	3	cooling	cool	VERB
ejpam-6602	203	4	schedule	schedule	NOUN
ejpam-6602	203	5	in	in	ADP
ejpam-6602	203	6	simulated	simulated	ADJ
ejpam-6602	203	7	annealing	annealing	NOUN
ejpam-6602	203	8	.	.	PUNCT
ejpam-6602	204	1	•	•	NUM
ejpam-6602	204	2	update	update	NOUN
ejpam-6602	204	3	inertia	inertia	NOUN
ejpam-6602	204	4	weight	weight	NOUN
ejpam-6602	204	5	in	in	ADP
ejpam-6602	204	6	pso	pso	NOUN
ejpam-6602	204	7	.	.	PUNCT
ejpam-6602	205	1	•	•	NOUN
ejpam-6602	205	2	change	change	NOUN
ejpam-6602	205	3	pheromone	pheromone	NOUN
ejpam-6602	205	4	decay	decay	NOUN
ejpam-6602	205	5	rate	rate	NOUN
ejpam-6602	205	6	in	in	ADP
ejpam-6602	205	7	aco	aco	PROPN
ejpam-6602	205	8	.	.	PUNCT
ejpam-6602	206	1	•	•	NUM
ejpam-6602	206	2	switch	switch	VERB
ejpam-6602	206	3	to	to	ADP
ejpam-6602	206	4	a	a	DET
ejpam-6602	206	5	different	different	ADJ
ejpam-6602	206	6	metaheuristic	metaheuristic	NOUN
ejpam-6602	206	7	from	from	ADP
ejpam-6602	206	8	the	the	DET
ejpam-6602	206	9	pool	pool	NOUN
ejpam-6602	206	10	{	{	PUNCT
ejpam-6602	206	11	ga	ga	PROPN
ejpam-6602	206	12	,	,	PUNCT
ejpam-6602	206	13	sa	sa	PROPN
ejpam-6602	206	14	,	,	PUNCT
ejpam-6602	206	15	pso	pso	NOUN
ejpam-6602	206	16	,	,	PUNCT
ejpam-6602	206	17	aco	aco	PROPN
ejpam-6602	206	18	}	}	PUNCT
ejpam-6602	206	19	.	.	PUNCT
ejpam-6602	207	1	each	each	DET
ejpam-6602	207	2	action	action	NOUN
ejpam-6602	207	3	may	may	AUX
ejpam-6602	207	4	either	either	CCONJ
ejpam-6602	207	5	apply	apply	VERB
ejpam-6602	207	6	a	a	DET
ejpam-6602	207	7	parameter	parameter	NOUN
ejpam-6602	207	8	update	update	NOUN
ejpam-6602	207	9	for	for	ADP
ejpam-6602	207	10	the	the	DET
ejpam-6602	207	11	current	current	ADJ
ejpam-6602	207	12	metaheuristic	metaheuristic	ADJ
ejpam-6602	207	13	or	or	CCONJ
ejpam-6602	207	14	select	select	VERB
ejpam-6602	207	15	a	a	DET
ejpam-6602	207	16	different	different	ADJ
ejpam-6602	207	17	metaheuristic	metaheuristic	NOUN
ejpam-6602	207	18	entirely	entirely	ADV
ejpam-6602	207	19	.	.	PUNCT
ejpam-6602	208	1	switching	switch	VERB
ejpam-6602	208	2	is	be	AUX
ejpam-6602	208	3	governed	govern	VERB
ejpam-6602	208	4	by	by	ADP
ejpam-6602	208	5	an	an	DET
ejpam-6602	208	6	ϵ-greedy	ϵ-greedy	NOUN
ejpam-6602	208	7	exploration	exploration	NOUN
ejpam-6602	208	8	policy	policy	NOUN
ejpam-6602	208	9	to	to	PART
ejpam-6602	208	10	balance	balance	VERB
ejpam-6602	208	11	exploration	exploration	NOUN
ejpam-6602	208	12	of	of	ADP
ejpam-6602	208	13	new	new	ADJ
ejpam-6602	208	14	heuristics	heuristic	NOUN
ejpam-6602	208	15	and	and	CCONJ
ejpam-6602	208	16	exploitation	exploitation	NOUN
ejpam-6602	208	17	of	of	ADP
ejpam-6602	208	18	previously	previously	ADV
ejpam-6602	208	19	successful	successful	ADJ
ejpam-6602	208	20	strategies	strategy	NOUN
ejpam-6602	208	21	.	.	PUNCT
ejpam-6602	209	1	4.4.3	4.4.3	NUM
ejpam-6602	209	2	.	.	X
ejpam-6602	209	3	reward	reward	NOUN
ejpam-6602	209	4	function	function	VERB
ejpam-6602	209	5	the	the	DET
ejpam-6602	209	6	agent	agent	NOUN
ejpam-6602	209	7	receives	receive	VERB
ejpam-6602	209	8	a	a	DET
ejpam-6602	209	9	reward	reward	NOUN
ejpam-6602	209	10	based	base	VERB
ejpam-6602	209	11	on	on	ADP
ejpam-6602	209	12	improvement	improvement	NOUN
ejpam-6602	209	13	in	in	ADP
ejpam-6602	209	14	objective	objective	ADJ
ejpam-6602	209	15	function	function	NOUN
ejpam-6602	209	16	:	:	PUNCT
ejpam-6602	209	17	rt	rt	PROPN
ejpam-6602	209	18	=	=	SYM
ejpam-6602	209	19	∆f(x	∆f(x	PROPN
ejpam-6602	209	20	)	)	PUNCT
ejpam-6602	210	1	+	+	NUM
ejpam-6602	210	2	λ	λ	PROPN
ejpam-6602	210	3	·	·	PUNCT
ejpam-6602	210	4	exploration	exploration	NOUN
ejpam-6602	210	5	bonus	bonus	NOUN
ejpam-6602	210	6	,	,	PUNCT
ejpam-6602	210	7	(	(	PUNCT
ejpam-6602	210	8	4	4	X
ejpam-6602	210	9	)	)	PUNCT
ejpam-6602	210	10	where	where	SCONJ
ejpam-6602	210	11	λ	λ	PROPN
ejpam-6602	210	12	is	be	AUX
ejpam-6602	210	13	a	a	DET
ejpam-6602	210	14	balancing	balance	VERB
ejpam-6602	210	15	factor	factor	NOUN
ejpam-6602	210	16	to	to	PART
ejpam-6602	210	17	encourage	encourage	VERB
ejpam-6602	210	18	exploration	exploration	NOUN
ejpam-6602	210	19	.	.	PUNCT
ejpam-6602	211	1	4.4.4	4.4.4	X
ejpam-6602	211	2	.	.	PUNCT
ejpam-6602	211	3	q	q	X
ejpam-6602	211	4	-	-	PUNCT
ejpam-6602	211	5	learning	learn	VERB
ejpam-6602	211	6	update	update	NOUN
ejpam-6602	211	7	we	we	PRON
ejpam-6602	211	8	utilize	utilize	VERB
ejpam-6602	211	9	deep	deep	ADJ
ejpam-6602	211	10	q	q	NOUN
ejpam-6602	211	11	-	-	PUNCT
ejpam-6602	211	12	learning	learn	VERB
ejpam-6602	211	13	(	(	PUNCT
ejpam-6602	211	14	dqn	dqn	NOUN
ejpam-6602	211	15	)	)	PUNCT
ejpam-6602	211	16	to	to	PART
ejpam-6602	211	17	learn	learn	VERB
ejpam-6602	211	18	optimal	optimal	ADJ
ejpam-6602	211	19	actions	action	NOUN
ejpam-6602	211	20	dynamically	dynamically	ADV
ejpam-6602	211	21	:	:	PUNCT
ejpam-6602	211	22	q(st	q(st	PROPN
ejpam-6602	211	23	,	,	PUNCT
ejpam-6602	211	24	at)←	at)←	PROPN
ejpam-6602	211	25	q(st	q(st	PROPN
ejpam-6602	211	26	,	,	PUNCT
ejpam-6602	211	27	at	at	ADP
ejpam-6602	211	28	)	)	PUNCT
ejpam-6602	212	1	+	+	CCONJ
ejpam-6602	212	2	α	α	PROPN
ejpam-6602	212	3	[	[	PUNCT
ejpam-6602	212	4	rt	rt	PROPN
ejpam-6602	212	5	+	+	NUM
ejpam-6602	212	6	γmax	γmax	PROPN
ejpam-6602	212	7	a′	a′	PROPN
ejpam-6602	212	8	q(st+1	q(st+1	PROPN
ejpam-6602	212	9	,	,	PUNCT
ejpam-6602	212	10	a	a	DET
ejpam-6602	212	11	′)−q(st	′)−q(st	NOUN
ejpam-6602	212	12	,	,	PUNCT
ejpam-6602	212	13	at	at	ADP
ejpam-6602	212	14	)	)	PUNCT
ejpam-6602	212	15	]	]	PUNCT
ejpam-6602	212	16	.	.	PUNCT
ejpam-6602	213	1	(	(	PUNCT
ejpam-6602	213	2	5	5	X
ejpam-6602	213	3	)	)	PUNCT
ejpam-6602	213	4	the	the	DET
ejpam-6602	213	5	deep	deep	ADJ
ejpam-6602	213	6	q	q	NOUN
ejpam-6602	213	7	-	-	PUNCT
ejpam-6602	213	8	network	network	NOUN
ejpam-6602	213	9	(	(	PUNCT
ejpam-6602	213	10	dqn	dqn	PROPN
ejpam-6602	213	11	)	)	PUNCT
ejpam-6602	213	12	maintains	maintain	VERB
ejpam-6602	213	13	a	a	DET
ejpam-6602	213	14	neural	neural	ADJ
ejpam-6602	213	15	q	q	ADJ
ejpam-6602	213	16	-	-	PUNCT
ejpam-6602	213	17	function	function	NOUN
ejpam-6602	213	18	approximator	approximator	NOUN
ejpam-6602	213	19	whose	whose	DET
ejpam-6602	213	20	input	input	NOUN
ejpam-6602	213	21	encodes	encode	VERB
ejpam-6602	213	22	current	current	ADJ
ejpam-6602	213	23	state	state	NOUN
ejpam-6602	213	24	features	feature	NOUN
ejpam-6602	213	25	such	such	ADJ
ejpam-6602	213	26	as	as	ADP
ejpam-6602	213	27	convergence	convergence	NOUN
ejpam-6602	213	28	slope	slope	NOUN
ejpam-6602	213	29	,	,	PUNCT
ejpam-6602	213	30	solution	solution	NOUN
ejpam-6602	213	31	diversity	diversity	NOUN
ejpam-6602	213	32	,	,	PUNCT
ejpam-6602	213	33	and	and	CCONJ
ejpam-6602	213	34	the	the	DET
ejpam-6602	213	35	identifier	identifier	NOUN
ejpam-6602	213	36	of	of	ADP
ejpam-6602	213	37	the	the	DET
ejpam-6602	213	38	currently	currently	ADV
ejpam-6602	213	39	selected	select	VERB
ejpam-6602	213	40	metaheuristic	metaheuristic	ADJ
ejpam-6602	213	41	.	.	PUNCT
ejpam-6602	214	1	the	the	DET
ejpam-6602	214	2	output	output	NOUN
ejpam-6602	214	3	layer	layer	NOUN
ejpam-6602	214	4	provides	provide	VERB
ejpam-6602	214	5	estimated	estimate	VERB
ejpam-6602	214	6	q	q	NOUN
ejpam-6602	214	7	-	-	PUNCT
ejpam-6602	214	8	values	value	NOUN
ejpam-6602	214	9	k.	k.	PROPN
ejpam-6602	214	10	danach	danach	PROPN
ejpam-6602	215	1	et	et	PROPN
ejpam-6602	215	2	al	al	PROPN
ejpam-6602	215	3	.	.	PUNCT
ejpam-6602	215	4	/	/	SYM
ejpam-6602	215	5	eur	eur	PROPN
ejpam-6602	215	6	.	.	PUNCT
ejpam-6602	216	1	j.	j.	PROPN
ejpam-6602	216	2	pure	pure	PROPN
ejpam-6602	216	3	appl	appl	PROPN
ejpam-6602	216	4	.	.	PROPN
ejpam-6602	216	5	math	math	PROPN
ejpam-6602	216	6	,	,	PUNCT
ejpam-6602	216	7	18	18	NUM
ejpam-6602	216	8	(	(	PUNCT
ejpam-6602	216	9	3	3	NUM
ejpam-6602	216	10	)	)	PUNCT
ejpam-6602	216	11	(	(	PUNCT
ejpam-6602	216	12	2025	2025	NUM
ejpam-6602	216	13	)	)	PUNCT
ejpam-6602	216	14	,	,	PUNCT
ejpam-6602	216	15	6602	6602	NUM
ejpam-6602	216	16	14	14	NUM
ejpam-6602	216	17	of	of	ADP
ejpam-6602	216	18	37	37	NUM
ejpam-6602	216	19	for	for	ADP
ejpam-6602	216	20	each	each	DET
ejpam-6602	216	21	possible	possible	ADJ
ejpam-6602	216	22	action	action	NOUN
ejpam-6602	216	23	,	,	PUNCT
ejpam-6602	216	24	which	which	PRON
ejpam-6602	216	25	include	include	VERB
ejpam-6602	216	26	both	both	DET
ejpam-6602	216	27	heuristic	heuristic	ADJ
ejpam-6602	216	28	selection	selection	NOUN
ejpam-6602	216	29	and	and	CCONJ
ejpam-6602	216	30	parameter	parameter	NOUN
ejpam-6602	216	31	adjustments	adjustment	NOUN
ejpam-6602	216	32	.	.	PUNCT
ejpam-6602	217	1	actions	action	NOUN
ejpam-6602	217	2	are	be	AUX
ejpam-6602	217	3	selected	select	VERB
ejpam-6602	217	4	using	use	VERB
ejpam-6602	217	5	an	an	DET
ejpam-6602	217	6	ϵ-greedy	ϵ-greedy	NOUN
ejpam-6602	217	7	strategy	strategy	NOUN
ejpam-6602	217	8	,	,	PUNCT
ejpam-6602	217	9	where	where	SCONJ
ejpam-6602	217	10	the	the	DET
ejpam-6602	217	11	agent	agent	NOUN
ejpam-6602	217	12	either	either	CCONJ
ejpam-6602	217	13	chooses	choose	VERB
ejpam-6602	217	14	the	the	DET
ejpam-6602	217	15	action	action	NOUN
ejpam-6602	217	16	with	with	ADP
ejpam-6602	217	17	the	the	DET
ejpam-6602	217	18	highest	high	ADJ
ejpam-6602	217	19	q	q	ADJ
ejpam-6602	217	20	-	-	PUNCT
ejpam-6602	217	21	value	value	NOUN
ejpam-6602	217	22	(	(	PUNCT
ejpam-6602	217	23	exploitation	exploitation	NOUN
ejpam-6602	217	24	)	)	PUNCT
ejpam-6602	217	25	or	or	CCONJ
ejpam-6602	217	26	randomly	randomly	ADV
ejpam-6602	217	27	explores	explore	NOUN
ejpam-6602	217	28	alternative	alternative	ADJ
ejpam-6602	217	29	strategies	strategy	NOUN
ejpam-6602	217	30	(	(	PUNCT
ejpam-6602	217	31	exploration	exploration	NOUN
ejpam-6602	217	32	)	)	PUNCT
ejpam-6602	217	33	.	.	PUNCT
ejpam-6602	218	1	the	the	DET
ejpam-6602	218	2	value	value	NOUN
ejpam-6602	218	3	of	of	ADP
ejpam-6602	218	4	ϵ	ϵ	NOUN
ejpam-6602	218	5	decays	decay	VERB
ejpam-6602	218	6	linearly	linearly	ADV
ejpam-6602	218	7	over	over	ADP
ejpam-6602	218	8	time	time	NOUN
ejpam-6602	218	9	to	to	PART
ejpam-6602	218	10	promote	promote	VERB
ejpam-6602	218	11	exploration	exploration	NOUN
ejpam-6602	218	12	in	in	ADP
ejpam-6602	218	13	early	early	ADJ
ejpam-6602	218	14	phases	phase	NOUN
ejpam-6602	218	15	and	and	CCONJ
ejpam-6602	218	16	exploitation	exploitation	NOUN
ejpam-6602	218	17	later	later	ADV
ejpam-6602	218	18	.	.	PUNCT
ejpam-6602	219	1	the	the	DET
ejpam-6602	219	2	dqn	dqn	NOUN
ejpam-6602	219	3	is	be	AUX
ejpam-6602	219	4	trained	train	VERB
ejpam-6602	219	5	using	use	VERB
ejpam-6602	219	6	a	a	DET
ejpam-6602	219	7	replay	replay	NOUN
ejpam-6602	219	8	buffer	buffer	NOUN
ejpam-6602	219	9	and	and	CCONJ
ejpam-6602	219	10	a	a	DET
ejpam-6602	219	11	separate	separate	ADJ
ejpam-6602	219	12	target	target	NOUN
ejpam-6602	219	13	network	network	NOUN
ejpam-6602	219	14	,	,	PUNCT
ejpam-6602	219	15	with	with	SCONJ
ejpam-6602	219	16	minibatch	minibatch	NOUN
ejpam-6602	219	17	updates	update	NOUN
ejpam-6602	219	18	performed	perform	VERB
ejpam-6602	219	19	at	at	ADP
ejpam-6602	219	20	fixed	fix	VERB
ejpam-6602	219	21	intervals	interval	NOUN
ejpam-6602	219	22	to	to	PART
ejpam-6602	219	23	enhance	enhance	VERB
ejpam-6602	219	24	learning	learn	VERB
ejpam-6602	219	25	stability	stability	NOUN
ejpam-6602	219	26	.	.	PUNCT
ejpam-6602	220	1	this	this	DET
ejpam-6602	220	2	rl	rl	NOUN
ejpam-6602	220	3	-	-	PUNCT
ejpam-6602	220	4	guided	guide	VERB
ejpam-6602	220	5	adaptive	adaptive	ADJ
ejpam-6602	220	6	layer	layer	NOUN
ejpam-6602	220	7	allows	allow	VERB
ejpam-6602	220	8	the	the	DET
ejpam-6602	220	9	hmf	hmf	PROPN
ejpam-6602	220	10	framework	framework	NOUN
ejpam-6602	220	11	to	to	PART
ejpam-6602	220	12	dynamically	dynamically	VERB
ejpam-6602	220	13	fine	fine	ADJ
ejpam-6602	220	14	-	-	PUNCT
ejpam-6602	220	15	tune	tune	NOUN
ejpam-6602	220	16	both	both	CCONJ
ejpam-6602	220	17	the	the	DET
ejpam-6602	220	18	choice	choice	NOUN
ejpam-6602	220	19	of	of	ADP
ejpam-6602	220	20	metaheuristic	metaheuristic	ADJ
ejpam-6602	220	21	and	and	CCONJ
ejpam-6602	220	22	its	its	PRON
ejpam-6602	220	23	corresponding	corresponding	ADJ
ejpam-6602	220	24	parameters	parameter	NOUN
ejpam-6602	220	25	,	,	PUNCT
ejpam-6602	220	26	significantly	significantly	ADV
ejpam-6602	220	27	improving	improve	VERB
ejpam-6602	220	28	convergence	convergence	NOUN
ejpam-6602	220	29	behavior	behavior	NOUN
ejpam-6602	220	30	,	,	PUNCT
ejpam-6602	220	31	robustness	robustness	NOUN
ejpam-6602	220	32	,	,	PUNCT
ejpam-6602	220	33	and	and	CCONJ
ejpam-6602	220	34	search	search	NOUN
ejpam-6602	220	35	diversification	diversification	NOUN
ejpam-6602	220	36	across	across	ADP
ejpam-6602	220	37	varying	vary	VERB
ejpam-6602	220	38	problem	problem	NOUN
ejpam-6602	220	39	instances	instance	NOUN
ejpam-6602	220	40	.	.	PUNCT
ejpam-6602	221	1	the	the	DET
ejpam-6602	221	2	deep	deep	ADJ
ejpam-6602	221	3	q	q	NOUN
ejpam-6602	221	4	-	-	PUNCT
ejpam-6602	221	5	network	network	NOUN
ejpam-6602	221	6	(	(	PUNCT
ejpam-6602	221	7	dqn	dqn	PROPN
ejpam-6602	221	8	)	)	PUNCT
ejpam-6602	221	9	used	use	VERB
ejpam-6602	221	10	in	in	ADP
ejpam-6602	221	11	our	our	PRON
ejpam-6602	221	12	implementation	implementation	NOUN
ejpam-6602	221	13	consists	consist	VERB
ejpam-6602	221	14	of	of	ADP
ejpam-6602	221	15	a	a	DET
ejpam-6602	221	16	fully	fully	ADV
ejpam-6602	221	17	connected	connect	VERB
ejpam-6602	221	18	feed	feed	NOUN
ejpam-6602	221	19	-	-	PUNCT
ejpam-6602	221	20	forward	forward	NOUN
ejpam-6602	221	21	neural	neural	ADJ
ejpam-6602	221	22	network	network	NOUN
ejpam-6602	221	23	with	with	ADP
ejpam-6602	221	24	three	three	NUM
ejpam-6602	221	25	hidden	hidden	ADJ
ejpam-6602	221	26	layers	layer	NOUN
ejpam-6602	221	27	.	.	PUNCT
ejpam-6602	222	1	the	the	DET
ejpam-6602	222	2	input	input	NOUN
ejpam-6602	222	3	layer	layer	NOUN
ejpam-6602	222	4	receives	receive	VERB
ejpam-6602	222	5	the	the	DET
ejpam-6602	222	6	state	state	NOUN
ejpam-6602	222	7	vector	vector	NOUN
ejpam-6602	222	8	comprising	comprising	NOUN
ejpam-6602	222	9	convergence	convergence	NOUN
ejpam-6602	222	10	rate	rate	NOUN
ejpam-6602	222	11	,	,	PUNCT
ejpam-6602	222	12	solution	solution	NOUN
ejpam-6602	222	13	diversity	diversity	NOUN
ejpam-6602	222	14	,	,	PUNCT
ejpam-6602	222	15	reward	reward	VERB
ejpam-6602	222	16	history	history	NOUN
ejpam-6602	222	17	,	,	PUNCT
ejpam-6602	222	18	and	and	CCONJ
ejpam-6602	222	19	the	the	DET
ejpam-6602	222	20	current	current	ADJ
ejpam-6602	222	21	heuristic	heuristic	ADJ
ejpam-6602	222	22	indicator	indicator	NOUN
ejpam-6602	222	23	.	.	PUNCT
ejpam-6602	223	1	the	the	DET
ejpam-6602	223	2	three	three	NUM
ejpam-6602	223	3	hidden	hide	VERB
ejpam-6602	223	4	layers	layer	NOUN
ejpam-6602	223	5	have	have	VERB
ejpam-6602	223	6	128	128	NUM
ejpam-6602	223	7	,	,	PUNCT
ejpam-6602	223	8	64	64	NUM
ejpam-6602	223	9	,	,	PUNCT
ejpam-6602	223	10	and	and	CCONJ
ejpam-6602	223	11	32	32	NUM
ejpam-6602	223	12	neurons	neuron	NOUN
ejpam-6602	223	13	respectively	respectively	ADV
ejpam-6602	223	14	,	,	PUNCT
ejpam-6602	223	15	each	each	PRON
ejpam-6602	223	16	using	use	VERB
ejpam-6602	223	17	the	the	DET
ejpam-6602	223	18	relu	relu	NOUN
ejpam-6602	223	19	activation	activation	NOUN
ejpam-6602	223	20	function	function	NOUN
ejpam-6602	223	21	.	.	PUNCT
ejpam-6602	224	1	the	the	DET
ejpam-6602	224	2	output	output	NOUN
ejpam-6602	224	3	layer	layer	NOUN
ejpam-6602	224	4	provides	provide	VERB
ejpam-6602	224	5	q	q	NOUN
ejpam-6602	224	6	-	-	PUNCT
ejpam-6602	224	7	values	value	NOUN
ejpam-6602	224	8	for	for	ADP
ejpam-6602	224	9	each	each	PRON
ejpam-6602	224	10	of	of	ADP
ejpam-6602	224	11	the	the	DET
ejpam-6602	224	12	possible	possible	ADJ
ejpam-6602	224	13	actions	action	NOUN
ejpam-6602	224	14	(	(	PUNCT
ejpam-6602	224	15	parameter	parameter	NOUN
ejpam-6602	224	16	adjustments	adjustment	NOUN
ejpam-6602	224	17	and	and	CCONJ
ejpam-6602	224	18	heuristic	heuristic	ADJ
ejpam-6602	224	19	switches	switch	NOUN
ejpam-6602	224	20	)	)	PUNCT
ejpam-6602	224	21	.	.	PUNCT
ejpam-6602	225	1	we	we	PRON
ejpam-6602	225	2	used	use	VERB
ejpam-6602	225	3	the	the	DET
ejpam-6602	225	4	adam	adam	PROPN
ejpam-6602	225	5	optimizer	optimizer	NOUN
ejpam-6602	225	6	with	with	ADP
ejpam-6602	225	7	a	a	DET
ejpam-6602	225	8	learning	learn	VERB
ejpam-6602	225	9	rate	rate	NOUN
ejpam-6602	225	10	of	of	ADP
ejpam-6602	225	11	0.001	0.001	NUM
ejpam-6602	225	12	,	,	PUNCT
ejpam-6602	225	13	and	and	CCONJ
ejpam-6602	225	14	trained	train	VERB
ejpam-6602	225	15	the	the	DET
ejpam-6602	225	16	model	model	NOUN
ejpam-6602	225	17	for	for	ADP
ejpam-6602	225	18	500	500	NUM
ejpam-6602	225	19	episodes	episode	NOUN
ejpam-6602	225	20	,	,	PUNCT
ejpam-6602	225	21	with	with	ADP
ejpam-6602	225	22	early	early	ADJ
ejpam-6602	225	23	stopping	stopping	NOUN
ejpam-6602	225	24	applied	apply	VERB
ejpam-6602	225	25	based	base	VERB
ejpam-6602	225	26	on	on	ADP
ejpam-6602	225	27	convergence	convergence	NOUN
ejpam-6602	225	28	of	of	ADP
ejpam-6602	225	29	cumulative	cumulative	ADJ
ejpam-6602	225	30	reward	reward	NOUN
ejpam-6602	225	31	.	.	PUNCT
ejpam-6602	226	1	the	the	DET
ejpam-6602	226	2	replay	replay	NOUN
ejpam-6602	226	3	buffer	buffer	NOUN
ejpam-6602	226	4	has	have	VERB
ejpam-6602	226	5	a	a	DET
ejpam-6602	226	6	capacity	capacity	NOUN
ejpam-6602	226	7	of	of	ADP
ejpam-6602	226	8	10,000	10,000	NUM
ejpam-6602	226	9	transitions	transition	NOUN
ejpam-6602	226	10	,	,	PUNCT
ejpam-6602	226	11	and	and	CCONJ
ejpam-6602	226	12	a	a	DET
ejpam-6602	226	13	minibatch	minibatch	NOUN
ejpam-6602	226	14	size	size	NOUN
ejpam-6602	226	15	of	of	ADP
ejpam-6602	226	16	64	64	NUM
ejpam-6602	226	17	is	be	AUX
ejpam-6602	226	18	sampled	sample	VERB
ejpam-6602	226	19	for	for	ADP
ejpam-6602	226	20	each	each	DET
ejpam-6602	226	21	q	q	NOUN
ejpam-6602	226	22	-	-	NOUN
ejpam-6602	226	23	update	update	NOUN
ejpam-6602	226	24	.	.	PUNCT
ejpam-6602	227	1	the	the	DET
ejpam-6602	227	2	target	target	NOUN
ejpam-6602	227	3	network	network	NOUN
ejpam-6602	227	4	is	be	AUX
ejpam-6602	227	5	updated	update	VERB
ejpam-6602	227	6	every	every	DET
ejpam-6602	227	7	100	100	NUM
ejpam-6602	227	8	iterations	iteration	NOUN
ejpam-6602	227	9	to	to	PART
ejpam-6602	227	10	stabilize	stabilize	VERB
ejpam-6602	227	11	training	training	NOUN
ejpam-6602	227	12	.	.	PUNCT
ejpam-6602	228	1	4.5	4.5	NUM
ejpam-6602	228	2	.	.	PUNCT
ejpam-6602	229	1	parallel	parallel	ADJ
ejpam-6602	229	2	computing	compute	VERB
ejpam-6602	229	3	implementation	implementation	NOUN
ejpam-6602	229	4	to	to	PART
ejpam-6602	229	5	enhance	enhance	VERB
ejpam-6602	229	6	computational	computational	ADJ
ejpam-6602	229	7	efficiency	efficiency	NOUN
ejpam-6602	229	8	,	,	PUNCT
ejpam-6602	229	9	the	the	DET
ejpam-6602	229	10	framework	framework	NOUN
ejpam-6602	229	11	is	be	AUX
ejpam-6602	229	12	implemented	implement	VERB
ejpam-6602	229	13	using	use	VERB
ejpam-6602	229	14	a	a	DET
ejpam-6602	229	15	parallel	parallel	ADJ
ejpam-6602	229	16	execution	execution	NOUN
ejpam-6602	229	17	model	model	NOUN
ejpam-6602	229	18	based	base	VERB
ejpam-6602	229	19	on	on	ADP
ejpam-6602	229	20	the	the	DET
ejpam-6602	229	21	message	message	NOUN
ejpam-6602	229	22	-	-	PUNCT
ejpam-6602	229	23	passing	pass	VERB
ejpam-6602	229	24	interface	interface	NOUN
ejpam-6602	229	25	(	(	PUNCT
ejpam-6602	229	26	mpi	mpi	ADJ
ejpam-6602	229	27	)	)	PUNCT
ejpam-6602	229	28	standard	standard	NOUN
ejpam-6602	229	29	.	.	PUNCT
ejpam-6602	230	1	given	give	VERB
ejpam-6602	230	2	n	n	CCONJ
ejpam-6602	230	3	available	available	ADJ
ejpam-6602	230	4	processing	processing	NOUN
ejpam-6602	230	5	units	unit	NOUN
ejpam-6602	230	6	,	,	PUNCT
ejpam-6602	230	7	the	the	DET
ejpam-6602	230	8	solution	solution	NOUN
ejpam-6602	230	9	space	space	NOUN
ejpam-6602	230	10	is	be	AUX
ejpam-6602	230	11	partitioned	partition	VERB
ejpam-6602	230	12	as	as	ADP
ejpam-6602	230	13	:	:	PUNCT
ejpam-6602	230	14	ω	ω	PROPN
ejpam-6602	230	15	=	=	SYM
ejpam-6602	230	16	n⋃	n⋃	PROPN
ejpam-6602	230	17	i=1	i=1	PROPN
ejpam-6602	230	18	ωi	ωi	PROPN
ejpam-6602	230	19	,	,	PUNCT
ejpam-6602	230	20	where	where	SCONJ
ejpam-6602	230	21	ωi	ωi	PROPN
ejpam-6602	230	22	is	be	AUX
ejpam-6602	230	23	the	the	DET
ejpam-6602	230	24	sub	sub	ADJ
ejpam-6602	230	25	-	-	AUX
ejpam-6602	230	26	space	space	NOUN
ejpam-6602	230	27	assigned	assign	VERB
ejpam-6602	230	28	to	to	PART
ejpam-6602	230	29	processor	processor	VERB
ejpam-6602	230	30	pi	pi	NOUN
ejpam-6602	230	31	.	.	PUNCT
ejpam-6602	231	1	each	each	DET
ejpam-6602	231	2	processor	processor	NOUN
ejpam-6602	231	3	executes	execute	VERB
ejpam-6602	231	4	a	a	DET
ejpam-6602	231	5	distinct	distinct	ADJ
ejpam-6602	231	6	metaheuristic	metaheuristic	ADJ
ejpam-6602	231	7	strategy	strategy	NOUN
ejpam-6602	231	8	over	over	ADP
ejpam-6602	231	9	its	its	PRON
ejpam-6602	231	10	assigned	assign	VERB
ejpam-6602	231	11	subspace	subspace	NOUN
ejpam-6602	231	12	,	,	PUNCT
ejpam-6602	231	13	allowing	allow	VERB
ejpam-6602	231	14	localized	localized	ADJ
ejpam-6602	231	15	optimization	optimization	NOUN
ejpam-6602	231	16	and	and	CCONJ
ejpam-6602	231	17	diversification	diversification	NOUN
ejpam-6602	231	18	.	.	PUNCT
ejpam-6602	232	1	the	the	DET
ejpam-6602	232	2	partitioning	partitioning	NOUN
ejpam-6602	232	3	is	be	AUX
ejpam-6602	232	4	performed	perform	VERB
ejpam-6602	232	5	using	use	VERB
ejpam-6602	232	6	a	a	DET
ejpam-6602	232	7	uniform	uniform	NOUN
ejpam-6602	232	8	or	or	CCONJ
ejpam-6602	232	9	domain	domain	NOUN
ejpam-6602	232	10	-	-	PUNCT
ejpam-6602	232	11	informed	inform	VERB
ejpam-6602	232	12	sampling	sampling	NOUN
ejpam-6602	232	13	scheme	scheme	NOUN
ejpam-6602	232	14	,	,	PUNCT
ejpam-6602	232	15	depending	depend	VERB
ejpam-6602	232	16	on	on	ADP
ejpam-6602	232	17	the	the	DET
ejpam-6602	232	18	problem	problem	NOUN
ejpam-6602	232	19	structure	structure	NOUN
ejpam-6602	232	20	.	.	PUNCT
ejpam-6602	233	1	each	each	DET
ejpam-6602	233	2	processor	processor	NOUN
ejpam-6602	233	3	executes	execute	VERB
ejpam-6602	233	4	a	a	DET
ejpam-6602	233	5	distinct	distinct	ADJ
ejpam-6602	233	6	metaheuristic	metaheuristic	NOUN
ejpam-6602	233	7	over	over	ADP
ejpam-6602	233	8	its	its	PRON
ejpam-6602	233	9	sub	sub	NOUN
ejpam-6602	233	10	-	-	NOUN
ejpam-6602	233	11	region	region	ADJ
ejpam-6602	233	12	ωi	ωi	X
ejpam-6602	233	13	of	of	ADP
ejpam-6602	233	14	the	the	DET
ejpam-6602	233	15	solution	solution	NOUN
ejpam-6602	233	16	space	space	NOUN
ejpam-6602	233	17	.	.	PUNCT
ejpam-6602	234	1	after	after	ADP
ejpam-6602	234	2	every	every	DET
ejpam-6602	234	3	t	t	NOUN
ejpam-6602	234	4	iterations	iteration	NOUN
ejpam-6602	234	5	,	,	PUNCT
ejpam-6602	234	6	local	local	ADJ
ejpam-6602	234	7	best	good	ADJ
ejpam-6602	234	8	solutions	solution	NOUN
ejpam-6602	234	9	are	be	AUX
ejpam-6602	234	10	sent	send	VERB
ejpam-6602	234	11	to	to	ADP
ejpam-6602	234	12	a	a	DET
ejpam-6602	234	13	master	master	NOUN
ejpam-6602	234	14	node	node	NOUN
ejpam-6602	234	15	or	or	CCONJ
ejpam-6602	234	16	broadcasted	broadcast	VERB
ejpam-6602	234	17	using	use	VERB
ejpam-6602	234	18	mpi	mpi	ADJ
ejpam-6602	234	19	collective	collective	ADJ
ejpam-6602	234	20	communication	communication	NOUN
ejpam-6602	234	21	primitives	primitive	NOUN
ejpam-6602	234	22	.	.	PUNCT
ejpam-6602	235	1	the	the	DET
ejpam-6602	235	2	global	global	ADJ
ejpam-6602	235	3	best	good	ADJ
ejpam-6602	235	4	is	be	AUX
ejpam-6602	235	5	then	then	ADV
ejpam-6602	235	6	redistributed	redistribute	VERB
ejpam-6602	235	7	for	for	ADP
ejpam-6602	235	8	convergence	convergence	NOUN
ejpam-6602	235	9	alignment	alignment	NOUN
ejpam-6602	235	10	.	.	PUNCT
ejpam-6602	236	1	synchronization	synchronization	NOUN
ejpam-6602	236	2	is	be	AUX
ejpam-6602	236	3	managed	manage	VERB
ejpam-6602	236	4	through	through	ADP
ejpam-6602	236	5	an	an	DET
ejpam-6602	236	6	elite	elite	ADJ
ejpam-6602	236	7	-	-	PUNCT
ejpam-6602	236	8	sharing	share	VERB
ejpam-6602	236	9	strategy	strategy	NOUN
ejpam-6602	236	10	:	:	PUNCT
ejpam-6602	236	11	after	after	ADP
ejpam-6602	236	12	a	a	DET
ejpam-6602	236	13	predefined	predefine	VERB
ejpam-6602	236	14	number	number	NOUN
ejpam-6602	236	15	of	of	ADP
ejpam-6602	236	16	iterations	iteration	NOUN
ejpam-6602	236	17	,	,	PUNCT
ejpam-6602	236	18	each	each	DET
ejpam-6602	236	19	processor	processor	NOUN
ejpam-6602	236	20	shares	share	VERB
ejpam-6602	236	21	its	its	PRON
ejpam-6602	236	22	current	current	ADJ
ejpam-6602	236	23	best	good	ADJ
ejpam-6602	236	24	solution	solution	NOUN
ejpam-6602	236	25	xbest	xbest	NOUN
ejpam-6602	236	26	i	i	PRON
ejpam-6602	236	27	with	with	ADP
ejpam-6602	236	28	a	a	DET
ejpam-6602	236	29	master	master	NOUN
ejpam-6602	236	30	node	node	NOUN
ejpam-6602	236	31	or	or	CCONJ
ejpam-6602	236	32	across	across	ADP
ejpam-6602	236	33	peer	peer	NOUN
ejpam-6602	236	34	processes	process	NOUN
ejpam-6602	236	35	.	.	PUNCT
ejpam-6602	237	1	the	the	DET
ejpam-6602	237	2	global	global	ADJ
ejpam-6602	237	3	best	good	ADJ
ejpam-6602	237	4	solution	solution	NOUN
ejpam-6602	237	5	is	be	AUX
ejpam-6602	237	6	computed	compute	VERB
ejpam-6602	237	7	as	as	ADP
ejpam-6602	237	8	:	:	PUNCT
ejpam-6602	237	9	xbest	xbest	NOUN
ejpam-6602	237	10	=	=	SYM
ejpam-6602	237	11	argmax	argmax	VERB
ejpam-6602	238	1	i	i	PRON
ejpam-6602	238	2	f(xbest	f(xbest	VERB
ejpam-6602	238	3	i	i	PRON
ejpam-6602	238	4	)	)	PUNCT
ejpam-6602	238	5	,	,	PUNCT
ejpam-6602	238	6	xi	xi	PROPN
ejpam-6602	238	7	∈	∈	PROPN
ejpam-6602	238	8	ωi	ωi	PROPN
ejpam-6602	238	9	.	.	PUNCT
ejpam-6602	239	1	this	this	DET
ejpam-6602	239	2	global	global	ADJ
ejpam-6602	239	3	best	good	ADJ
ejpam-6602	239	4	solution	solution	NOUN
ejpam-6602	239	5	is	be	AUX
ejpam-6602	239	6	redistributed	redistribute	VERB
ejpam-6602	239	7	to	to	ADP
ejpam-6602	239	8	all	all	DET
ejpam-6602	239	9	processors	processor	NOUN
ejpam-6602	239	10	to	to	PART
ejpam-6602	239	11	guide	guide	VERB
ejpam-6602	239	12	local	local	ADJ
ejpam-6602	239	13	search	search	NOUN
ejpam-6602	239	14	while	while	SCONJ
ejpam-6602	239	15	k.	k.	PROPN
ejpam-6602	239	16	danach	danach	PROPN
ejpam-6602	239	17	et	et	PROPN
ejpam-6602	239	18	al	al	PROPN
ejpam-6602	239	19	.	.	PUNCT
ejpam-6602	239	20	/	/	SYM
ejpam-6602	239	21	eur	eur	PROPN
ejpam-6602	239	22	.	.	PUNCT
ejpam-6602	240	1	j.	j.	PROPN
ejpam-6602	240	2	pure	pure	PROPN
ejpam-6602	240	3	appl	appl	PROPN
ejpam-6602	240	4	.	.	PROPN
ejpam-6602	240	5	math	math	PROPN
ejpam-6602	240	6	,	,	PUNCT
ejpam-6602	240	7	18	18	NUM
ejpam-6602	240	8	(	(	PUNCT
ejpam-6602	240	9	3	3	NUM
ejpam-6602	240	10	)	)	PUNCT
ejpam-6602	240	11	(	(	PUNCT
ejpam-6602	240	12	2025	2025	NUM
ejpam-6602	240	13	)	)	PUNCT
ejpam-6602	240	14	,	,	PUNCT
ejpam-6602	240	15	6602	6602	NUM
ejpam-6602	240	16	15	15	NUM
ejpam-6602	240	17	of	of	ADP
ejpam-6602	240	18	37	37	NUM
ejpam-6602	240	19	preserving	preserve	VERB
ejpam-6602	240	20	autonomy	autonomy	NOUN
ejpam-6602	240	21	in	in	ADP
ejpam-6602	240	22	their	their	PRON
ejpam-6602	240	23	exploration	exploration	NOUN
ejpam-6602	240	24	processes	process	NOUN
ejpam-6602	240	25	.	.	PUNCT
ejpam-6602	241	1	this	this	DET
ejpam-6602	241	2	asynchronous	asynchronous	ADJ
ejpam-6602	241	3	communication	communication	NOUN
ejpam-6602	241	4	scheme	scheme	NOUN
ejpam-6602	241	5	minimizes	minimize	NOUN
ejpam-6602	241	6	bottlenecks	bottleneck	NOUN
ejpam-6602	241	7	while	while	SCONJ
ejpam-6602	241	8	enhancing	enhance	VERB
ejpam-6602	241	9	convergence	convergence	NOUN
ejpam-6602	241	10	and	and	CCONJ
ejpam-6602	241	11	solution	solution	NOUN
ejpam-6602	241	12	quality	quality	NOUN
ejpam-6602	241	13	.	.	PUNCT
ejpam-6602	242	1	the	the	DET
ejpam-6602	242	2	parallel	parallel	ADJ
ejpam-6602	242	3	architecture	architecture	NOUN
ejpam-6602	242	4	follows	follow	VERB
ejpam-6602	242	5	a	a	DET
ejpam-6602	242	6	hybrid	hybrid	ADJ
ejpam-6602	242	7	master	master	NOUN
ejpam-6602	242	8	-	-	PUNCT
ejpam-6602	242	9	slave	slave	NOUN
ejpam-6602	242	10	model	model	NOUN
ejpam-6602	242	11	.	.	PUNCT
ejpam-6602	243	1	the	the	DET
ejpam-6602	243	2	master	master	NOUN
ejpam-6602	243	3	node	node	NOUN
ejpam-6602	243	4	collects	collect	VERB
ejpam-6602	243	5	local	local	ADJ
ejpam-6602	243	6	bests	best	NOUN
ejpam-6602	243	7	,	,	PUNCT
ejpam-6602	243	8	computes	compute	VERB
ejpam-6602	243	9	xbest	xbest	NOUN
ejpam-6602	243	10	,	,	PUNCT
ejpam-6602	243	11	and	and	CCONJ
ejpam-6602	243	12	broadcasts	broadcast	NOUN
ejpam-6602	243	13	updates	update	NOUN
ejpam-6602	243	14	.	.	PUNCT
ejpam-6602	244	1	however	however	ADV
ejpam-6602	244	2	,	,	PUNCT
ejpam-6602	244	3	local	local	ADJ
ejpam-6602	244	4	searches	search	NOUN
ejpam-6602	244	5	remain	remain	VERB
ejpam-6602	244	6	decentralized	decentralize	VERB
ejpam-6602	244	7	,	,	PUNCT
ejpam-6602	244	8	and	and	CCONJ
ejpam-6602	244	9	processors	processor	NOUN
ejpam-6602	244	10	may	may	AUX
ejpam-6602	244	11	proceed	proceed	VERB
ejpam-6602	244	12	asynchronously	asynchronously	ADV
ejpam-6602	244	13	with	with	ADP
ejpam-6602	244	14	non	non	ADJ
ejpam-6602	244	15	-	-	ADJ
ejpam-6602	244	16	blocking	blocking	ADJ
ejpam-6602	244	17	updates	update	NOUN
ejpam-6602	244	18	,	,	PUNCT
ejpam-6602	244	19	increasing	increase	VERB
ejpam-6602	244	20	fault	fault	NOUN
ejpam-6602	244	21	tolerance	tolerance	NOUN
ejpam-6602	244	22	and	and	CCONJ
ejpam-6602	244	23	flexibility	flexibility	NOUN
ejpam-6602	244	24	.	.	PUNCT
ejpam-6602	245	1	this	this	DET
ejpam-6602	245	2	setup	setup	NOUN
ejpam-6602	245	3	also	also	ADV
ejpam-6602	245	4	supports	support	VERB
ejpam-6602	245	5	horizontal	horizontal	ADJ
ejpam-6602	245	6	scalability	scalability	NOUN
ejpam-6602	245	7	:	:	PUNCT
ejpam-6602	245	8	as	as	SCONJ
ejpam-6602	245	9	problem	problem	NOUN
ejpam-6602	245	10	size	size	NOUN
ejpam-6602	245	11	or	or	CCONJ
ejpam-6602	245	12	dimensionality	dimensionality	NOUN
ejpam-6602	245	13	grows	grow	NOUN
ejpam-6602	245	14	,	,	PUNCT
ejpam-6602	245	15	more	more	ADJ
ejpam-6602	245	16	processors	processor	NOUN
ejpam-6602	245	17	can	can	AUX
ejpam-6602	245	18	be	be	AUX
ejpam-6602	245	19	introduced	introduce	VERB
ejpam-6602	245	20	to	to	PART
ejpam-6602	245	21	maintain	maintain	VERB
ejpam-6602	245	22	low	low	ADJ
ejpam-6602	245	23	per	per	ADP
ejpam-6602	245	24	-	-	PUNCT
ejpam-6602	245	25	unit	unit	NOUN
ejpam-6602	245	26	workloads	workload	NOUN
ejpam-6602	245	27	without	without	ADP
ejpam-6602	245	28	deteriorating	deteriorate	VERB
ejpam-6602	245	29	convergence	convergence	NOUN
ejpam-6602	245	30	quality	quality	NOUN
ejpam-6602	245	31	.	.	PUNCT
ejpam-6602	246	1	by	by	ADP
ejpam-6602	246	2	distributing	distribute	VERB
ejpam-6602	246	3	the	the	DET
ejpam-6602	246	4	computation	computation	NOUN
ejpam-6602	246	5	,	,	PUNCT
ejpam-6602	246	6	the	the	DET
ejpam-6602	246	7	framework	framework	NOUN
ejpam-6602	246	8	reduces	reduce	VERB
ejpam-6602	246	9	time	time	NOUN
ejpam-6602	246	10	complexity	complexity	NOUN
ejpam-6602	246	11	from	from	ADP
ejpam-6602	246	12	o(n2	o(n2	ADV
ejpam-6602	246	13	)	)	PUNCT
ejpam-6602	246	14	to	to	ADP
ejpam-6602	246	15	approximately	approximately	ADV
ejpam-6602	246	16	o(n	o(n	PROPN
ejpam-6602	246	17	/	/	SYM
ejpam-6602	246	18	p	p	NOUN
ejpam-6602	246	19	)	)	PUNCT
ejpam-6602	246	20	,	,	PUNCT
ejpam-6602	246	21	where	where	SCONJ
ejpam-6602	246	22	p	p	NOUN
ejpam-6602	246	23	is	be	AUX
ejpam-6602	246	24	the	the	DET
ejpam-6602	246	25	number	number	NOUN
ejpam-6602	246	26	of	of	ADP
ejpam-6602	246	27	processing	processing	NOUN
ejpam-6602	246	28	units	unit	NOUN
ejpam-6602	246	29	.	.	PUNCT
ejpam-6602	247	1	4.6	4.6	NUM
ejpam-6602	247	2	.	.	PUNCT
ejpam-6602	248	1	algorithm	algorithm	PROPN
ejpam-6602	248	2	implementation	implementation	NOUN
ejpam-6602	248	3	the	the	DET
ejpam-6602	248	4	proposed	propose	VERB
ejpam-6602	248	5	hmf	hmf	PROPN
ejpam-6602	248	6	is	be	AUX
ejpam-6602	248	7	implemented	implement	VERB
ejpam-6602	248	8	as	as	ADP
ejpam-6602	248	9	a	a	DET
ejpam-6602	248	10	parallel	parallel	ADJ
ejpam-6602	248	11	metaheuristic	metaheuristic	ADJ
ejpam-6602	248	12	framework	framework	NOUN
ejpam-6602	248	13	with	with	ADP
ejpam-6602	248	14	reinforcement	reinforcement	NOUN
ejpam-6602	248	15	learning	learning	NOUN
ejpam-6602	248	16	-	-	PUNCT
ejpam-6602	248	17	based	base	VERB
ejpam-6602	248	18	control	control	NOUN
ejpam-6602	248	19	for	for	ADP
ejpam-6602	248	20	dynamic	dynamic	ADJ
ejpam-6602	248	21	heuristic	heuristic	ADJ
ejpam-6602	248	22	selection	selection	NOUN
ejpam-6602	248	23	and	and	CCONJ
ejpam-6602	248	24	parameter	parameter	NOUN
ejpam-6602	248	25	tuning	tuning	NOUN
ejpam-6602	248	26	.	.	PUNCT
ejpam-6602	249	1	algorithm	algorithm	NOUN
ejpam-6602	249	2	1	1	NUM
ejpam-6602	249	3	hybrid	hybrid	ADJ
ejpam-6602	249	4	metaheuristic	metaheuristic	ADJ
ejpam-6602	249	5	framework	framework	NOUN
ejpam-6602	249	6	(	(	PUNCT
ejpam-6602	249	7	hmf	hmf	PROPN
ejpam-6602	249	8	)	)	PUNCT
ejpam-6602	249	9	with	with	ADP
ejpam-6602	249	10	rl	rl	NOUN
ejpam-6602	249	11	-	-	PUNCT
ejpam-6602	249	12	based	base	VERB
ejpam-6602	249	13	adaptation	adaptation	NOUN
ejpam-6602	249	14	0	0	NUM
ejpam-6602	249	15	:	:	PUNCT
ejpam-6602	249	16	input	input	NOUN
ejpam-6602	249	17	:	:	PUNCT
ejpam-6602	249	18	problem	problem	NOUN
ejpam-6602	249	19	instance	instance	NOUN
ejpam-6602	249	20	,	,	PUNCT
ejpam-6602	249	21	metaheuristic	metaheuristic	ADJ
ejpam-6602	249	22	poolm	poolm	NOUN
ejpam-6602	249	23	,	,	PUNCT
ejpam-6602	249	24	rl	rl	AUX
ejpam-6602	249	25	agent	agent	NOUN
ejpam-6602	249	26	parameters	parameter	NOUN
ejpam-6602	249	27	0	0	NUM
ejpam-6602	249	28	:	:	PUNCT
ejpam-6602	249	29	initialize	initialize	VERB
ejpam-6602	249	30	population	population	NOUN
ejpam-6602	249	31	x	x	NOUN
ejpam-6602	249	32	,	,	PUNCT
ejpam-6602	249	33	deep	deep	ADJ
ejpam-6602	249	34	q	q	NOUN
ejpam-6602	249	35	-	-	PUNCT
ejpam-6602	249	36	network	network	NOUN
ejpam-6602	249	37	q	q	NOUN
ejpam-6602	249	38	,	,	PUNCT
ejpam-6602	249	39	and	and	CCONJ
ejpam-6602	249	40	replay	replay	NOUN
ejpam-6602	249	41	buffer	buffer	NOUN
ejpam-6602	249	42	b	b	NOUN
ejpam-6602	249	43	0	0	NUM
ejpam-6602	249	44	:	:	PUNCT
ejpam-6602	249	45	distribute	distribute	VERB
ejpam-6602	249	46	subspaces	subspace	NOUN
ejpam-6602	249	47	ωi	ωi	NOUN
ejpam-6602	249	48	across	across	ADP
ejpam-6602	249	49	p	p	NOUN
ejpam-6602	249	50	processors	processor	NOUN
ejpam-6602	249	51	using	use	VERB
ejpam-6602	249	52	mpi	mpi	PROPN
ejpam-6602	249	53	0	0	NUM
ejpam-6602	249	54	:	:	PUNCT
ejpam-6602	249	55	for	for	ADP
ejpam-6602	249	56	each	each	DET
ejpam-6602	249	57	iteration	iteration	NOUN
ejpam-6602	249	58	t	t	NOUN
ejpam-6602	249	59	=	=	SYM
ejpam-6602	249	60	1	1	NUM
ejpam-6602	249	61	to	to	ADP
ejpam-6602	249	62	t	t	PROPN
ejpam-6602	249	63	do	do	VERB
ejpam-6602	249	64	0	0	NUM
ejpam-6602	249	65	:	:	PUNCT
ejpam-6602	249	66	for	for	ADP
ejpam-6602	249	67	each	each	DET
ejpam-6602	249	68	processor	processor	NOUN
ejpam-6602	249	69	pi	pi	NOUN
ejpam-6602	249	70	in	in	ADP
ejpam-6602	249	71	parallel	parallel	ADJ
ejpam-6602	249	72	do	do	AUX
ejpam-6602	249	73	0	0	NUM
ejpam-6602	249	74	:	:	PUNCT
ejpam-6602	249	75	extract	extract	VERB
ejpam-6602	249	76	current	current	ADJ
ejpam-6602	249	77	state	state	NOUN
ejpam-6602	249	78	st	st	PROPN
ejpam-6602	249	79	(	(	PUNCT
ejpam-6602	249	80	e.g.	e.g.	ADV
ejpam-6602	249	81	,	,	PUNCT
ejpam-6602	249	82	diversity	diversity	NOUN
ejpam-6602	249	83	,	,	PUNCT
ejpam-6602	249	84	convergence	convergence	NOUN
ejpam-6602	249	85	rate	rate	NOUN
ejpam-6602	249	86	,	,	PUNCT
ejpam-6602	249	87	selected	select	VERB
ejpam-6602	249	88	metaheuristic	metaheuristic	ADJ
ejpam-6602	249	89	)	)	PUNCT
ejpam-6602	249	90	0	0	NUM
ejpam-6602	249	91	:	:	PUNCT
ejpam-6602	249	92	select	select	ADJ
ejpam-6602	249	93	action	action	NOUN
ejpam-6602	249	94	at	at	ADP
ejpam-6602	249	95	using	use	VERB
ejpam-6602	249	96	ϵ-greedy	ϵ-greedy	NOUN
ejpam-6602	249	97	policy	policy	NOUN
ejpam-6602	249	98	from	from	ADP
ejpam-6602	249	99	q(st	q(st	PROPN
ejpam-6602	249	100	,	,	PUNCT
ejpam-6602	249	101	a	a	PRON
ejpam-6602	249	102	)	)	PUNCT
ejpam-6602	249	103	0	0	NUM
ejpam-6602	249	104	:	:	PUNCT
ejpam-6602	249	105	if	if	SCONJ
ejpam-6602	249	106	at	at	ADP
ejpam-6602	249	107	is	be	AUX
ejpam-6602	249	108	parameter	parameter	NOUN
ejpam-6602	249	109	adjustment	adjustment	NOUN
ejpam-6602	249	110	then	then	ADV
ejpam-6602	249	111	0	0	NUM
ejpam-6602	249	112	:	:	PUNCT
ejpam-6602	249	113	update	update	VERB
ejpam-6602	249	114	metaheuristic	metaheuristic	ADJ
ejpam-6602	249	115	parameters	parameter	NOUN
ejpam-6602	249	116	(	(	PUNCT
ejpam-6602	249	117	e.g.	e.g.	ADV
ejpam-6602	249	118	,	,	PUNCT
ejpam-6602	249	119	mutation	mutation	NOUN
ejpam-6602	249	120	rate	rate	NOUN
ejpam-6602	249	121	,	,	PUNCT
ejpam-6602	249	122	inertia	inertia	NOUN
ejpam-6602	249	123	weight	weight	NOUN
ejpam-6602	249	124	)	)	PUNCT
ejpam-6602	249	125	0	0	NUM
ejpam-6602	249	126	:	:	PUNCT
ejpam-6602	249	127	else	else	ADV
ejpam-6602	249	128	if	if	SCONJ
ejpam-6602	249	129	at	at	ADP
ejpam-6602	249	130	is	be	AUX
ejpam-6602	249	131	heuristic	heuristic	ADJ
ejpam-6602	249	132	switch	switch	NOUN
ejpam-6602	249	133	then	then	ADV
ejpam-6602	249	134	0	0	NUM
ejpam-6602	249	135	:	:	PUNCT
ejpam-6602	249	136	select	select	VERB
ejpam-6602	249	137	new	new	ADJ
ejpam-6602	249	138	metaheuristic	metaheuristic	PROPN
ejpam-6602	249	139	mt	mt	PROPN
ejpam-6602	249	140	∈m	∈m	NOUN
ejpam-6602	249	141	0	0	NUM
ejpam-6602	249	142	:	:	PUNCT
ejpam-6602	249	143	end	end	VERB
ejpam-6602	249	144	if	if	SCONJ
ejpam-6602	249	145	0	0	NUM
ejpam-6602	249	146	:	:	PUNCT
ejpam-6602	249	147	execute	execute	VERB
ejpam-6602	249	148	selected	select	VERB
ejpam-6602	249	149	metaheuristic	metaheuristic	ADJ
ejpam-6602	249	150	mt	mt	PROPN
ejpam-6602	249	151	on	on	ADP
ejpam-6602	249	152	local	local	ADJ
ejpam-6602	249	153	population	population	NOUN
ejpam-6602	249	154	x	x	X
ejpam-6602	249	155	(	(	PUNCT
ejpam-6602	249	156	t	t	NOUN
ejpam-6602	249	157	)	)	PUNCT
ejpam-6602	249	158	i	i	PRON
ejpam-6602	249	159	0	0	NUM
ejpam-6602	249	160	:	:	PUNCT
ejpam-6602	249	161	update	update	VERB
ejpam-6602	249	162	local	local	ADJ
ejpam-6602	249	163	best	good	ADJ
ejpam-6602	249	164	xbest	xbest	NOUN
ejpam-6602	249	165	i	i	PRON
ejpam-6602	249	166	based	base	VERB
ejpam-6602	249	167	on	on	ADP
ejpam-6602	249	168	performance	performance	NOUN
ejpam-6602	249	169	0	0	NUM
ejpam-6602	249	170	:	:	PUNCT
ejpam-6602	249	171	compute	compute	VERB
ejpam-6602	249	172	reward	reward	NOUN
ejpam-6602	249	173	rt	rt	NOUN
ejpam-6602	249	174	and	and	CCONJ
ejpam-6602	249	175	store	store	PROPN
ejpam-6602	249	176	(	(	PUNCT
ejpam-6602	249	177	st	st	PROPN
ejpam-6602	249	178	,	,	PUNCT
ejpam-6602	249	179	at	at	ADP
ejpam-6602	249	180	,	,	PUNCT
ejpam-6602	249	181	rt	rt	PROPN
ejpam-6602	249	182	,	,	PUNCT
ejpam-6602	249	183	st+1	st+1	NOUN
ejpam-6602	249	184	)	)	PUNCT
ejpam-6602	249	185	in	in	ADP
ejpam-6602	249	186	b	b	NOUN
ejpam-6602	249	187	0	0	NUM
ejpam-6602	249	188	:	:	PUNCT
ejpam-6602	249	189	train	train	VERB
ejpam-6602	249	190	dqn	dqn	NOUN
ejpam-6602	249	191	on	on	ADP
ejpam-6602	249	192	mini	mini	NOUN
ejpam-6602	249	193	-	-	NOUN
ejpam-6602	249	194	batches	batch	NOUN
ejpam-6602	249	195	sampled	sample	VERB
ejpam-6602	249	196	from	from	ADP
ejpam-6602	249	197	b	b	PROPN
ejpam-6602	249	198	0	0	NUM
ejpam-6602	249	199	:	:	PUNCT
ejpam-6602	249	200	end	end	VERB
ejpam-6602	249	201	for	for	ADP
ejpam-6602	249	202	0	0	NUM
ejpam-6602	249	203	:	:	PUNCT
ejpam-6602	249	204	gather	gather	VERB
ejpam-6602	249	205	all	all	DET
ejpam-6602	249	206	xbest	xbest	NOUN
ejpam-6602	249	207	i	i	PRON
ejpam-6602	249	208	to	to	PART
ejpam-6602	249	209	master	master	VERB
ejpam-6602	249	210	node	node	NOUN
ejpam-6602	249	211	0	0	NUM
ejpam-6602	249	212	:	:	PUNCT
ejpam-6602	249	213	compute	compute	VERB
ejpam-6602	249	214	and	and	CCONJ
ejpam-6602	249	215	broadcast	broadcast	VERB
ejpam-6602	249	216	global	global	ADJ
ejpam-6602	249	217	best	good	ADJ
ejpam-6602	249	218	xbest	xbest	NOUN
ejpam-6602	249	219	=	=	SYM
ejpam-6602	249	220	argmin	argmin	PROPN
ejpam-6602	249	221	f(xbest	f(xb	ADJ
ejpam-6602	249	222	i	i	NOUN
ejpam-6602	249	223	)	)	PUNCT
ejpam-6602	249	224	0	0	X
ejpam-6602	249	225	:	:	PUNCT
ejpam-6602	249	226	end	end	VERB
ejpam-6602	249	227	for	for	ADP
ejpam-6602	249	228	0	0	NUM
ejpam-6602	249	229	:	:	PUNCT
ejpam-6602	249	230	return	return	VERB
ejpam-6602	249	231	optimized	optimize	VERB
ejpam-6602	249	232	global	global	ADJ
ejpam-6602	249	233	solution	solution	NOUN
ejpam-6602	249	234	xbest	xbest	NOUN
ejpam-6602	250	1	=	=	SYM
ejpam-6602	250	2	0	0	X
ejpam-6602	250	3	each	each	DET
ejpam-6602	250	4	processor	processor	NOUN
ejpam-6602	250	5	executes	execute	VERB
ejpam-6602	250	6	the	the	DET
ejpam-6602	250	7	hmf	hmf	PROPN
ejpam-6602	250	8	loop	loop	NOUN
ejpam-6602	250	9	autonomously	autonomously	ADV
ejpam-6602	250	10	and	and	CCONJ
ejpam-6602	250	11	asynchronously	asynchronously	ADJ
ejpam-6602	250	12	,	,	PUNCT
ejpam-6602	250	13	guided	guide	VERB
ejpam-6602	250	14	by	by	ADP
ejpam-6602	250	15	its	its	PRON
ejpam-6602	250	16	local	local	ADJ
ejpam-6602	250	17	instance	instance	NOUN
ejpam-6602	250	18	of	of	ADP
ejpam-6602	250	19	the	the	DET
ejpam-6602	250	20	rl	rl	PROPN
ejpam-6602	250	21	agent	agent	NOUN
ejpam-6602	250	22	.	.	PUNCT
ejpam-6602	251	1	inter	inter	ADJ
ejpam-6602	251	2	-	-	ADJ
ejpam-6602	251	3	processor	processor	ADJ
ejpam-6602	251	4	communication	communication	NOUN
ejpam-6602	251	5	is	be	AUX
ejpam-6602	251	6	handled	handle	VERB
ejpam-6602	251	7	periodically	periodically	ADV
ejpam-6602	251	8	using	use	VERB
ejpam-6602	251	9	mpi	mpi	ADJ
ejpam-6602	251	10	collective	collective	ADJ
ejpam-6602	251	11	operations	operation	NOUN
ejpam-6602	251	12	.	.	PUNCT
ejpam-6602	252	1	a	a	DET
ejpam-6602	252	2	separate	separate	ADJ
ejpam-6602	252	3	rl	rl	NOUN
ejpam-6602	252	4	module	module	NOUN
ejpam-6602	252	5	maintains	maintain	VERB
ejpam-6602	252	6	a	a	DET
ejpam-6602	252	7	deep	deep	ADJ
ejpam-6602	252	8	q	q	NOUN
ejpam-6602	252	9	-	-	NOUN
ejpam-6602	252	10	network	network	NOUN
ejpam-6602	252	11	,	,	PUNCT
ejpam-6602	252	12	which	which	PRON
ejpam-6602	252	13	is	be	AUX
ejpam-6602	252	14	trained	train	VERB
ejpam-6602	252	15	using	use	VERB
ejpam-6602	252	16	the	the	DET
ejpam-6602	252	17	reward	reward	NOUN
ejpam-6602	252	18	signal	signal	NOUN
ejpam-6602	252	19	derived	derive	VERB
ejpam-6602	252	20	from	from	ADP
ejpam-6602	252	21	fitness	fitness	NOUN
ejpam-6602	252	22	improvements	improvement	NOUN
ejpam-6602	252	23	and	and	CCONJ
ejpam-6602	252	24	exploration	exploration	NOUN
ejpam-6602	252	25	k.	k.	PROPN
ejpam-6602	252	26	danach	danach	PROPN
ejpam-6602	252	27	et	et	PROPN
ejpam-6602	252	28	al	al	PROPN
ejpam-6602	252	29	.	.	PUNCT
ejpam-6602	252	30	/	/	SYM
ejpam-6602	252	31	eur	eur	PROPN
ejpam-6602	252	32	.	.	PUNCT
ejpam-6602	253	1	j.	j.	PROPN
ejpam-6602	253	2	pure	pure	PROPN
ejpam-6602	253	3	appl	appl	PROPN
ejpam-6602	253	4	.	.	PROPN
ejpam-6602	253	5	math	math	PROPN
ejpam-6602	253	6	,	,	PUNCT
ejpam-6602	253	7	18	18	NUM
ejpam-6602	253	8	(	(	PUNCT
ejpam-6602	253	9	3	3	NUM
ejpam-6602	253	10	)	)	PUNCT
ejpam-6602	253	11	(	(	PUNCT
ejpam-6602	253	12	2025	2025	NUM
ejpam-6602	253	13	)	)	PUNCT
ejpam-6602	253	14	,	,	PUNCT
ejpam-6602	253	15	6602	6602	NUM
ejpam-6602	253	16	16	16	NUM
ejpam-6602	253	17	of	of	ADP
ejpam-6602	253	18	37	37	NUM
ejpam-6602	253	19	bonuses	bonus	NOUN
ejpam-6602	253	20	.	.	PUNCT
ejpam-6602	254	1	the	the	DET
ejpam-6602	254	2	q	q	ADJ
ejpam-6602	254	3	-	-	PUNCT
ejpam-6602	254	4	values	value	NOUN
ejpam-6602	254	5	guide	guide	VERB
ejpam-6602	254	6	future	future	ADJ
ejpam-6602	254	7	heuristic	heuristic	NOUN
ejpam-6602	254	8	and	and	CCONJ
ejpam-6602	254	9	parameter	parameter	NOUN
ejpam-6602	254	10	selection	selection	NOUN
ejpam-6602	254	11	decisions	decision	NOUN
ejpam-6602	254	12	.	.	PUNCT
ejpam-6602	255	1	the	the	DET
ejpam-6602	255	2	metaheuristic	metaheuristic	PROPN
ejpam-6602	255	3	selected	select	VERB
ejpam-6602	255	4	in	in	ADP
ejpam-6602	255	5	each	each	DET
ejpam-6602	255	6	iteration	iteration	NOUN
ejpam-6602	255	7	depends	depend	VERB
ejpam-6602	255	8	on	on	ADP
ejpam-6602	255	9	learned	learn	VERB
ejpam-6602	255	10	q	q	NOUN
ejpam-6602	255	11	-	-	PUNCT
ejpam-6602	255	12	values	value	NOUN
ejpam-6602	255	13	and	and	CCONJ
ejpam-6602	255	14	is	be	AUX
ejpam-6602	255	15	applied	apply	VERB
ejpam-6602	255	16	over	over	ADP
ejpam-6602	255	17	the	the	DET
ejpam-6602	255	18	processor	processor	NOUN
ejpam-6602	255	19	’s	’s	PART
ejpam-6602	255	20	designated	designate	VERB
ejpam-6602	255	21	sub	sub	NOUN
ejpam-6602	255	22	-	-	NOUN
ejpam-6602	255	23	region	region	ADJ
ejpam-6602	255	24	ωi	ωi	PROPN
ejpam-6602	255	25	.	.	PROPN
ejpam-6602	255	26	4.7	4.7	NUM
ejpam-6602	255	27	.	.	PUNCT
ejpam-6602	256	1	computational	computational	ADJ
ejpam-6602	256	2	complexity	complexity	NOUN
ejpam-6602	256	3	analysis	analysis	NOUN
ejpam-6602	256	4	let	let	VERB
ejpam-6602	256	5	us	we	PRON
ejpam-6602	256	6	define	define	VERB
ejpam-6602	256	7	the	the	DET
ejpam-6602	256	8	key	key	ADJ
ejpam-6602	256	9	variables	variable	NOUN
ejpam-6602	256	10	used	use	VERB
ejpam-6602	256	11	in	in	ADP
ejpam-6602	256	12	the	the	DET
ejpam-6602	256	13	analysis	analysis	NOUN
ejpam-6602	256	14	to	to	PART
ejpam-6602	256	15	enhance	enhance	VERB
ejpam-6602	256	16	clarity	clarity	NOUN
ejpam-6602	256	17	:	:	PUNCT
ejpam-6602	256	18	•	•	NUM
ejpam-6602	256	19	n	n	NOUN
ejpam-6602	256	20	:	:	PUNCT
ejpam-6602	256	21	number	number	NOUN
ejpam-6602	256	22	of	of	ADP
ejpam-6602	256	23	candidate	candidate	NOUN
ejpam-6602	256	24	solutions	solution	NOUN
ejpam-6602	256	25	(	(	PUNCT
ejpam-6602	256	26	population	population	NOUN
ejpam-6602	256	27	size	size	NOUN
ejpam-6602	256	28	)	)	PUNCT
ejpam-6602	256	29	used	use	VERB
ejpam-6602	256	30	in	in	ADP
ejpam-6602	256	31	the	the	DET
ejpam-6602	256	32	metaheuristic	metaheuristic	ADJ
ejpam-6602	256	33	component	component	NOUN
ejpam-6602	256	34	.	.	PUNCT
ejpam-6602	257	1	•	•	NUM
ejpam-6602	258	1	d	d	NOUN
ejpam-6602	258	2	:	:	PUNCT
ejpam-6602	258	3	dimensionality	dimensionality	NOUN
ejpam-6602	258	4	of	of	ADP
ejpam-6602	258	5	the	the	DET
ejpam-6602	258	6	solution	solution	NOUN
ejpam-6602	258	7	space	space	NOUN
ejpam-6602	258	8	,	,	PUNCT
ejpam-6602	258	9	i.e.	i.e.	X
ejpam-6602	258	10	,	,	PUNCT
ejpam-6602	258	11	number	number	NOUN
ejpam-6602	258	12	of	of	ADP
ejpam-6602	258	13	decision	decision	NOUN
ejpam-6602	258	14	variables	variable	NOUN
ejpam-6602	258	15	.	.	PUNCT
ejpam-6602	259	1	•	•	NUM
ejpam-6602	259	2	s	s	X
ejpam-6602	259	3	:	:	PUNCT
ejpam-6602	259	4	number	number	NOUN
ejpam-6602	259	5	of	of	ADP
ejpam-6602	259	6	distinct	distinct	ADJ
ejpam-6602	259	7	states	state	NOUN
ejpam-6602	259	8	considered	consider	VERB
ejpam-6602	259	9	by	by	ADP
ejpam-6602	259	10	the	the	DET
ejpam-6602	259	11	reinforcement	reinforcement	NOUN
ejpam-6602	259	12	learning	learning	NOUN
ejpam-6602	259	13	agent	agent	NOUN
ejpam-6602	259	14	.	.	PUNCT
ejpam-6602	260	1	•	•	NUM
ejpam-6602	260	2	a	a	DET
ejpam-6602	260	3	:	:	PUNCT
ejpam-6602	260	4	number	number	NOUN
ejpam-6602	260	5	of	of	ADP
ejpam-6602	260	6	available	available	ADJ
ejpam-6602	260	7	actions	action	NOUN
ejpam-6602	260	8	(	(	PUNCT
ejpam-6602	260	9	e.g.	e.g.	ADV
ejpam-6602	260	10	,	,	PUNCT
ejpam-6602	260	11	parameter	parameter	NOUN
ejpam-6602	260	12	tuning	tuning	NOUN
ejpam-6602	260	13	adjustments	adjustment	NOUN
ejpam-6602	260	14	)	)	PUNCT
ejpam-6602	260	15	that	that	SCONJ
ejpam-6602	260	16	the	the	DET
ejpam-6602	260	17	rl	rl	PROPN
ejpam-6602	260	18	agent	agent	NOUN
ejpam-6602	260	19	can	can	AUX
ejpam-6602	260	20	select	select	VERB
ejpam-6602	260	21	from	from	ADP
ejpam-6602	260	22	.	.	PUNCT
ejpam-6602	261	1	the	the	DET
ejpam-6602	261	2	complexity	complexity	NOUN
ejpam-6602	261	3	of	of	ADP
ejpam-6602	261	4	hmf	hmf	PROPN
ejpam-6602	261	5	is	be	AUX
ejpam-6602	261	6	determined	determine	VERB
ejpam-6602	261	7	by	by	ADP
ejpam-6602	261	8	three	three	NUM
ejpam-6602	261	9	main	main	ADJ
ejpam-6602	261	10	factors	factor	NOUN
ejpam-6602	261	11	:	:	PUNCT
ejpam-6602	261	12	•	•	NUM
ejpam-6602	261	13	metaheuristic	metaheuristic	ADJ
ejpam-6602	261	14	execution	execution	NOUN
ejpam-6602	261	15	:	:	PUNCT
ejpam-6602	261	16	each	each	DET
ejpam-6602	261	17	iteration	iteration	NOUN
ejpam-6602	261	18	of	of	ADP
ejpam-6602	261	19	a	a	DET
ejpam-6602	261	20	traditional	traditional	ADJ
ejpam-6602	261	21	metaheuristic	metaheuristic	NOUN
ejpam-6602	261	22	is	be	AUX
ejpam-6602	261	23	o(n	o(n	PROPN
ejpam-6602	261	24	·	·	SYM
ejpam-6602	261	25	d	d	NOUN
ejpam-6602	261	26	)	)	PUNCT
ejpam-6602	261	27	for	for	ADP
ejpam-6602	261	28	n	n	DET
ejpam-6602	261	29	solutions	solution	NOUN
ejpam-6602	261	30	in	in	ADP
ejpam-6602	261	31	d	d	PROPN
ejpam-6602	261	32	dimensions	dimension	NOUN
ejpam-6602	261	33	.	.	PUNCT
ejpam-6602	262	1	•	•	NUM
ejpam-6602	262	2	reinforcement	reinforcement	NOUN
ejpam-6602	262	3	learning	learning	NOUN
ejpam-6602	262	4	overhead	overhead	ADV
ejpam-6602	262	5	:	:	PUNCT
ejpam-6602	262	6	the	the	DET
ejpam-6602	262	7	q	q	NOUN
ejpam-6602	262	8	-	-	PUNCT
ejpam-6602	262	9	learning	learn	VERB
ejpam-6602	262	10	update	update	NOUN
ejpam-6602	262	11	complexity	complexity	NOUN
ejpam-6602	262	12	is	be	AUX
ejpam-6602	262	13	o(s	o(s	PROPN
ejpam-6602	262	14	·	·	PUNCT
ejpam-6602	262	15	a	a	X
ejpam-6602	262	16	)	)	PUNCT
ejpam-6602	262	17	,	,	PUNCT
ejpam-6602	262	18	which	which	PRON
ejpam-6602	262	19	is	be	AUX
ejpam-6602	262	20	negligible	negligible	ADJ
ejpam-6602	262	21	compared	compare	VERB
ejpam-6602	262	22	to	to	ADP
ejpam-6602	262	23	metaheuristic	metaheuristic	ADJ
ejpam-6602	262	24	execution	execution	NOUN
ejpam-6602	262	25	.	.	PUNCT
ejpam-6602	263	1	•	•	NUM
ejpam-6602	263	2	parallel	parallel	ADJ
ejpam-6602	263	3	processing	processing	NOUN
ejpam-6602	263	4	speedup	speedup	NOUN
ejpam-6602	263	5	:	:	PUNCT
ejpam-6602	263	6	the	the	DET
ejpam-6602	263	7	total	total	ADJ
ejpam-6602	263	8	execution	execution	NOUN
ejpam-6602	263	9	time	time	NOUN
ejpam-6602	263	10	is	be	AUX
ejpam-6602	263	11	reduced	reduce	VERB
ejpam-6602	263	12	to	to	ADP
ejpam-6602	263	13	o(n	o(n	PROPN
ejpam-6602	263	14	/	/	SYM
ejpam-6602	263	15	p	p	NOUN
ejpam-6602	263	16	)	)	PUNCT
ejpam-6602	263	17	with	with	ADP
ejpam-6602	263	18	p	p	NOUN
ejpam-6602	263	19	processors	processor	NOUN
ejpam-6602	263	20	.	.	PUNCT
ejpam-6602	264	1	while	while	SCONJ
ejpam-6602	264	2	theoretical	theoretical	ADJ
ejpam-6602	264	3	convergence	convergence	NOUN
ejpam-6602	264	4	guarantees	guarantee	VERB
ejpam-6602	264	5	for	for	ADP
ejpam-6602	264	6	hybrid	hybrid	NOUN
ejpam-6602	264	7	and	and	CCONJ
ejpam-6602	264	8	learning	learning	NOUN
ejpam-6602	264	9	-	-	PUNCT
ejpam-6602	264	10	based	base	VERB
ejpam-6602	264	11	metaheuristics	metaheuristic	NOUN
ejpam-6602	264	12	are	be	AUX
ejpam-6602	264	13	difficult	difficult	ADJ
ejpam-6602	264	14	due	due	ADJ
ejpam-6602	264	15	to	to	ADP
ejpam-6602	264	16	stochastic	stochastic	ADJ
ejpam-6602	264	17	components	component	NOUN
ejpam-6602	264	18	,	,	PUNCT
ejpam-6602	264	19	empirical	empirical	ADJ
ejpam-6602	264	20	evidence	evidence	NOUN
ejpam-6602	264	21	supports	support	VERB
ejpam-6602	264	22	rapid	rapid	ADJ
ejpam-6602	264	23	convergence	convergence	NOUN
ejpam-6602	264	24	to	to	ADP
ejpam-6602	264	25	high	high	ADJ
ejpam-6602	264	26	-	-	PUNCT
ejpam-6602	264	27	quality	quality	NOUN
ejpam-6602	264	28	solutions	solution	NOUN
ejpam-6602	264	29	.	.	PUNCT
ejpam-6602	265	1	as	as	SCONJ
ejpam-6602	265	2	shown	show	VERB
ejpam-6602	265	3	in	in	ADP
ejpam-6602	265	4	figure	figure	NOUN
ejpam-6602	265	5	2	2	NUM
ejpam-6602	265	6	and	and	CCONJ
ejpam-6602	265	7	table	table	NOUN
ejpam-6602	265	8	2	2	NUM
ejpam-6602	265	9	,	,	PUNCT
ejpam-6602	265	10	hmf	hmf	PROPN
ejpam-6602	265	11	consistently	consistently	ADV
ejpam-6602	265	12	outperforms	outperform	VERB
ejpam-6602	265	13	baseline	baseline	ADJ
ejpam-6602	265	14	metaheuristics	metaheuristic	NOUN
ejpam-6602	265	15	in	in	ADP
ejpam-6602	265	16	convergence	convergence	NOUN
ejpam-6602	265	17	speed	speed	NOUN
ejpam-6602	265	18	and	and	CCONJ
ejpam-6602	265	19	solution	solution	NOUN
ejpam-6602	265	20	quality	quality	NOUN
ejpam-6602	265	21	across	across	ADP
ejpam-6602	265	22	benchmark	benchmark	NOUN
ejpam-6602	265	23	problems	problem	NOUN
ejpam-6602	265	24	.	.	PUNCT
ejpam-6602	266	1	the	the	DET
ejpam-6602	266	2	reinforcement	reinforcement	NOUN
ejpam-6602	266	3	learning	learning	NOUN
ejpam-6602	266	4	mechanism	mechanism	NOUN
ejpam-6602	266	5	dynamically	dynamically	ADV
ejpam-6602	266	6	adapts	adapt	VERB
ejpam-6602	266	7	parameter	parameter	NOUN
ejpam-6602	266	8	settings	setting	NOUN
ejpam-6602	266	9	,	,	PUNCT
ejpam-6602	266	10	reducing	reduce	VERB
ejpam-6602	266	11	the	the	DET
ejpam-6602	266	12	likelihood	likelihood	NOUN
ejpam-6602	266	13	of	of	ADP
ejpam-6602	266	14	premature	premature	ADJ
ejpam-6602	266	15	convergence	convergence	NOUN
ejpam-6602	266	16	and	and	CCONJ
ejpam-6602	266	17	improving	improve	VERB
ejpam-6602	266	18	stability	stability	NOUN
ejpam-6602	266	19	across	across	ADP
ejpam-6602	266	20	different	different	ADJ
ejpam-6602	266	21	runs	run	NOUN
ejpam-6602	266	22	.	.	PUNCT
ejpam-6602	267	1	4.8	4.8	NUM
ejpam-6602	267	2	.	.	PUNCT
ejpam-6602	267	3	expected	expect	VERB
ejpam-6602	267	4	outcomes	outcome	NOUN
ejpam-6602	267	5	and	and	CCONJ
ejpam-6602	267	6	performance	performance	NOUN
ejpam-6602	267	7	metrics	metric	NOUN
ejpam-6602	267	8	the	the	DET
ejpam-6602	267	9	framework	framework	NOUN
ejpam-6602	267	10	is	be	AUX
ejpam-6602	267	11	expected	expect	VERB
ejpam-6602	267	12	to	to	PART
ejpam-6602	267	13	:	:	PUNCT
ejpam-6602	267	14	•	•	ADP
ejpam-6602	267	15	improve	improve	VERB
ejpam-6602	267	16	solution	solution	NOUN
ejpam-6602	267	17	quality	quality	NOUN
ejpam-6602	267	18	by	by	ADP
ejpam-6602	267	19	dynamically	dynamically	ADV
ejpam-6602	267	20	selecting	select	VERB
ejpam-6602	267	21	the	the	DET
ejpam-6602	267	22	best	good	ADJ
ejpam-6602	267	23	optimization	optimization	NOUN
ejpam-6602	267	24	strategy	strategy	NOUN
ejpam-6602	267	25	.	.	PUNCT
ejpam-6602	268	1	•	•	NUM
ejpam-6602	268	2	enhance	enhance	VERB
ejpam-6602	268	3	computational	computational	ADJ
ejpam-6602	268	4	efficiency	efficiency	NOUN
ejpam-6602	268	5	through	through	ADP
ejpam-6602	268	6	parallel	parallel	ADJ
ejpam-6602	268	7	execution	execution	NOUN
ejpam-6602	268	8	.	.	PUNCT
ejpam-6602	269	1	•	•	NOUN
ejpam-6602	269	2	provide	provide	VERB
ejpam-6602	269	3	adaptability	adaptability	NOUN
ejpam-6602	269	4	to	to	ADP
ejpam-6602	269	5	different	different	ADJ
ejpam-6602	269	6	problem	problem	NOUN
ejpam-6602	269	7	instances	instance	NOUN
ejpam-6602	269	8	via	via	ADP
ejpam-6602	269	9	reinforcement	reinforcement	NOUN
ejpam-6602	269	10	learning	learning	NOUN
ejpam-6602	269	11	.	.	PUNCT
ejpam-6602	270	1	to	to	PART
ejpam-6602	270	2	evaluate	evaluate	VERB
ejpam-6602	270	3	performance	performance	NOUN
ejpam-6602	270	4	,	,	PUNCT
ejpam-6602	270	5	we	we	PRON
ejpam-6602	270	6	consider	consider	VERB
ejpam-6602	270	7	:	:	PUNCT
ejpam-6602	271	1	k.	k.	PROPN
ejpam-6602	271	2	danach	danach	PROPN
ejpam-6602	271	3	et	et	PROPN
ejpam-6602	271	4	al	al	PROPN
ejpam-6602	271	5	.	.	PUNCT
ejpam-6602	271	6	/	/	SYM
ejpam-6602	271	7	eur	eur	PROPN
ejpam-6602	271	8	.	.	PUNCT
ejpam-6602	272	1	j.	j.	PROPN
ejpam-6602	272	2	pure	pure	PROPN
ejpam-6602	272	3	appl	appl	PROPN
ejpam-6602	272	4	.	.	PROPN
ejpam-6602	272	5	math	math	PROPN
ejpam-6602	272	6	,	,	PUNCT
ejpam-6602	272	7	18	18	NUM
ejpam-6602	272	8	(	(	PUNCT
ejpam-6602	272	9	3	3	NUM
ejpam-6602	272	10	)	)	PUNCT
ejpam-6602	272	11	(	(	PUNCT
ejpam-6602	272	12	2025	2025	NUM
ejpam-6602	272	13	)	)	PUNCT
ejpam-6602	272	14	,	,	PUNCT
ejpam-6602	272	15	6602	6602	NUM
ejpam-6602	272	16	17	17	NUM
ejpam-6602	272	17	of	of	ADP
ejpam-6602	272	18	37	37	NUM
ejpam-6602	272	19	•	•	NOUN
ejpam-6602	272	20	solution	solution	NOUN
ejpam-6602	272	21	quality	quality	NOUN
ejpam-6602	272	22	:	:	PUNCT
ejpam-6602	272	23	measured	measure	VERB
ejpam-6602	272	24	by	by	ADP
ejpam-6602	272	25	objective	objective	ADJ
ejpam-6602	272	26	function	function	NOUN
ejpam-6602	272	27	value	value	NOUN
ejpam-6602	272	28	.	.	PUNCT
ejpam-6602	273	1	•	•	NUM
ejpam-6602	273	2	computational	computational	ADJ
ejpam-6602	273	3	efficiency	efficiency	NOUN
ejpam-6602	273	4	:	:	PUNCT
ejpam-6602	273	5	measured	measure	VERB
ejpam-6602	273	6	by	by	ADP
ejpam-6602	273	7	execution	execution	NOUN
ejpam-6602	273	8	time	time	NOUN
ejpam-6602	273	9	.	.	PUNCT
ejpam-6602	274	1	•	•	NOUN
ejpam-6602	274	2	scalability	scalability	NOUN
ejpam-6602	274	3	:	:	PUNCT
ejpam-6602	274	4	assessed	assess	VERB
ejpam-6602	274	5	by	by	ADP
ejpam-6602	274	6	performance	performance	NOUN
ejpam-6602	274	7	across	across	ADP
ejpam-6602	274	8	different	different	ADJ
ejpam-6602	274	9	problem	problem	NOUN
ejpam-6602	274	10	sizes	size	NOUN
ejpam-6602	274	11	.	.	PUNCT
ejpam-6602	275	1	5	5	X
ejpam-6602	275	2	.	.	X
ejpam-6602	275	3	experimental	experimental	ADJ
ejpam-6602	275	4	configuration	configuration	NOUN
ejpam-6602	275	5	this	this	DET
ejpam-6602	275	6	section	section	NOUN
ejpam-6602	275	7	provides	provide	VERB
ejpam-6602	275	8	detailed	detailed	ADJ
ejpam-6602	275	9	information	information	NOUN
ejpam-6602	275	10	about	about	ADP
ejpam-6602	275	11	the	the	DET
ejpam-6602	275	12	benchmark	benchmark	NOUN
ejpam-6602	275	13	instances	instance	NOUN
ejpam-6602	275	14	,	,	PUNCT
ejpam-6602	275	15	baseline	baseline	ADJ
ejpam-6602	275	16	algorithms	algorithm	NOUN
ejpam-6602	275	17	,	,	PUNCT
ejpam-6602	275	18	parameter	parameter	NOUN
ejpam-6602	275	19	settings	setting	NOUN
ejpam-6602	275	20	,	,	PUNCT
ejpam-6602	275	21	and	and	CCONJ
ejpam-6602	275	22	the	the	DET
ejpam-6602	275	23	computational	computational	ADJ
ejpam-6602	275	24	environment	environment	NOUN
ejpam-6602	275	25	used	use	VERB
ejpam-6602	275	26	in	in	ADP
ejpam-6602	275	27	our	our	PRON
ejpam-6602	275	28	experiments	experiment	NOUN
ejpam-6602	275	29	.	.	PUNCT
ejpam-6602	276	1	5.1	5.1	NUM
ejpam-6602	276	2	.	.	PUNCT
ejpam-6602	277	1	benchmark	benchmark	NOUN
ejpam-6602	277	2	instances	instance	NOUN
ejpam-6602	277	3	we	we	PRON
ejpam-6602	277	4	evaluate	evaluate	VERB
ejpam-6602	277	5	hmf	hmf	NOUN
ejpam-6602	277	6	on	on	ADP
ejpam-6602	277	7	three	three	NUM
ejpam-6602	277	8	representative	representative	ADJ
ejpam-6602	277	9	combinatorial	combinatorial	ADJ
ejpam-6602	277	10	optimization	optimization	NOUN
ejpam-6602	277	11	problems	problem	NOUN
ejpam-6602	277	12	:	:	PUNCT
ejpam-6602	277	13	•	•	NUM
ejpam-6602	277	14	vehicle	vehicle	NOUN
ejpam-6602	277	15	routing	routing	NOUN
ejpam-6602	277	16	problem	problem	NOUN
ejpam-6602	277	17	(	(	PUNCT
ejpam-6602	277	18	vrp	vrp	NOUN
ejpam-6602	277	19	):	):	PUNCT
ejpam-6602	277	20	solomon	solomon	PROPN
ejpam-6602	277	21	’s	’s	PART
ejpam-6602	277	22	benchmark	benchmark	ADJ
ejpam-6602	277	23	instances	instance	NOUN
ejpam-6602	277	24	are	be	AUX
ejpam-6602	277	25	used	use	VERB
ejpam-6602	277	26	,	,	PUNCT
ejpam-6602	277	27	including	include	VERB
ejpam-6602	277	28	c101	c101	PROPN
ejpam-6602	277	29	,	,	PUNCT
ejpam-6602	277	30	r101	r101	PROPN
ejpam-6602	277	31	,	,	PUNCT
ejpam-6602	277	32	and	and	CCONJ
ejpam-6602	277	33	rc101	rc101	NOUN
ejpam-6602	278	1	[	[	X
ejpam-6602	278	2	53	53	NUM
ejpam-6602	278	3	]	]	PUNCT
ejpam-6602	278	4	.	.	PUNCT
ejpam-6602	279	1	these	these	DET
ejpam-6602	279	2	instances	instance	NOUN
ejpam-6602	279	3	contain	contain	VERB
ejpam-6602	279	4	between	between	ADP
ejpam-6602	279	5	100	100	NUM
ejpam-6602	279	6	to	to	PART
ejpam-6602	279	7	120	120	NUM
ejpam-6602	279	8	customers	customer	NOUN
ejpam-6602	279	9	with	with	ADP
ejpam-6602	279	10	predefined	predefine	VERB
ejpam-6602	279	11	time	time	NOUN
ejpam-6602	279	12	windows	window	NOUN
ejpam-6602	279	13	and	and	CCONJ
ejpam-6602	279	14	vehicle	vehicle	NOUN
ejpam-6602	279	15	capacity	capacity	NOUN
ejpam-6602	279	16	constraints	constraint	NOUN
ejpam-6602	279	17	.	.	PUNCT
ejpam-6602	280	1	the	the	DET
ejpam-6602	280	2	cseries	cserie	NOUN
ejpam-6602	280	3	represents	represent	VERB
ejpam-6602	280	4	clustered	clustered	ADJ
ejpam-6602	280	5	customer	customer	NOUN
ejpam-6602	280	6	locations	location	NOUN
ejpam-6602	280	7	,	,	PUNCT
ejpam-6602	280	8	r	r	NOUN
ejpam-6602	280	9	-	-	PUNCT
ejpam-6602	280	10	series	series	NOUN
ejpam-6602	280	11	features	feature	NOUN
ejpam-6602	280	12	randomly	randomly	ADV
ejpam-6602	280	13	distributed	distribute	VERB
ejpam-6602	280	14	customers	customer	NOUN
ejpam-6602	280	15	,	,	PUNCT
ejpam-6602	280	16	and	and	CCONJ
ejpam-6602	280	17	rc	rc	PROPN
ejpam-6602	280	18	-	-	PUNCT
ejpam-6602	280	19	series	series	NOUN
ejpam-6602	280	20	includes	include	VERB
ejpam-6602	280	21	a	a	DET
ejpam-6602	280	22	mix	mix	NOUN
ejpam-6602	280	23	of	of	ADP
ejpam-6602	280	24	both	both	PRON
ejpam-6602	280	25	.	.	PUNCT
ejpam-6602	281	1	each	each	DET
ejpam-6602	281	2	instance	instance	NOUN
ejpam-6602	281	3	defines	define	VERB
ejpam-6602	281	4	travel	travel	NOUN
ejpam-6602	281	5	distance	distance	NOUN
ejpam-6602	281	6	matrices	matrix	NOUN
ejpam-6602	281	7	and	and	CCONJ
ejpam-6602	281	8	time	time	NOUN
ejpam-6602	281	9	window	window	NOUN
ejpam-6602	281	10	feasibility	feasibility	NOUN
ejpam-6602	281	11	conditions	condition	NOUN
ejpam-6602	281	12	,	,	PUNCT
ejpam-6602	281	13	making	make	VERB
ejpam-6602	281	14	them	they	PRON
ejpam-6602	281	15	highly	highly	ADV
ejpam-6602	281	16	suitable	suitable	ADJ
ejpam-6602	281	17	for	for	ADP
ejpam-6602	281	18	evaluating	evaluate	VERB
ejpam-6602	281	19	routing	routing	NOUN
ejpam-6602	281	20	performance	performance	NOUN
ejpam-6602	281	21	under	under	ADP
ejpam-6602	281	22	real	real	ADJ
ejpam-6602	281	23	-	-	PUNCT
ejpam-6602	281	24	world	world	NOUN
ejpam-6602	281	25	constraints	constraint	NOUN
ejpam-6602	281	26	.	.	PUNCT
ejpam-6602	282	1	•	•	NUM
ejpam-6602	282	2	facility	facility	NOUN
ejpam-6602	282	3	location	location	NOUN
ejpam-6602	282	4	problem	problem	NOUN
ejpam-6602	282	5	(	(	PUNCT
ejpam-6602	282	6	flp	flp	NOUN
ejpam-6602	282	7	):	):	PUNCT
ejpam-6602	282	8	instances	instance	NOUN
ejpam-6602	282	9	from	from	ADP
ejpam-6602	282	10	the	the	DET
ejpam-6602	282	11	or	or	CCONJ
ejpam-6602	282	12	-	-	PUNCT
ejpam-6602	282	13	library	library	NOUN
ejpam-6602	282	14	are	be	AUX
ejpam-6602	282	15	selected	select	VERB
ejpam-6602	282	16	,	,	PUNCT
ejpam-6602	282	17	including	include	VERB
ejpam-6602	282	18	cap71	cap71	NOUN
ejpam-6602	282	19	and	and	CCONJ
ejpam-6602	282	20	cap102	cap102	NOUN
ejpam-6602	282	21	[	[	X
ejpam-6602	282	22	54	54	NUM
ejpam-6602	282	23	]	]	PUNCT
ejpam-6602	282	24	.	.	PUNCT
ejpam-6602	283	1	these	these	DET
ejpam-6602	283	2	instances	instance	NOUN
ejpam-6602	283	3	model	model	VERB
ejpam-6602	283	4	capacitated	capacitate	VERB
ejpam-6602	283	5	facility	facility	NOUN
ejpam-6602	283	6	location	location	NOUN
ejpam-6602	283	7	problems	problem	NOUN
ejpam-6602	283	8	with	with	ADP
ejpam-6602	283	9	up	up	ADP
ejpam-6602	283	10	to	to	PART
ejpam-6602	283	11	100	100	NUM
ejpam-6602	283	12	facilities	facility	NOUN
ejpam-6602	283	13	and	and	CCONJ
ejpam-6602	283	14	100	100	NUM
ejpam-6602	283	15	customers	customer	NOUN
ejpam-6602	283	16	.	.	PUNCT
ejpam-6602	284	1	each	each	DET
ejpam-6602	284	2	facility	facility	NOUN
ejpam-6602	284	3	has	have	VERB
ejpam-6602	284	4	an	an	DET
ejpam-6602	284	5	opening	opening	NOUN
ejpam-6602	284	6	cost	cost	NOUN
ejpam-6602	284	7	,	,	PUNCT
ejpam-6602	284	8	a	a	DET
ejpam-6602	284	9	capacity	capacity	NOUN
ejpam-6602	284	10	limit	limit	NOUN
ejpam-6602	284	11	,	,	PUNCT
ejpam-6602	284	12	and	and	CCONJ
ejpam-6602	284	13	each	each	DET
ejpam-6602	284	14	customer	customer	NOUN
ejpam-6602	284	15	has	have	VERB
ejpam-6602	284	16	a	a	DET
ejpam-6602	284	17	specific	specific	ADJ
ejpam-6602	284	18	demand	demand	NOUN
ejpam-6602	284	19	.	.	PUNCT
ejpam-6602	285	1	the	the	DET
ejpam-6602	285	2	goal	goal	NOUN
ejpam-6602	285	3	is	be	AUX
ejpam-6602	285	4	to	to	PART
ejpam-6602	285	5	determine	determine	VERB
ejpam-6602	285	6	the	the	DET
ejpam-6602	285	7	optimal	optimal	ADJ
ejpam-6602	285	8	subset	subset	NOUN
ejpam-6602	285	9	of	of	ADP
ejpam-6602	285	10	facilities	facility	NOUN
ejpam-6602	285	11	to	to	PART
ejpam-6602	285	12	open	open	VERB
ejpam-6602	285	13	and	and	CCONJ
ejpam-6602	285	14	the	the	DET
ejpam-6602	285	15	allocation	allocation	NOUN
ejpam-6602	285	16	of	of	ADP
ejpam-6602	285	17	customers	customer	NOUN
ejpam-6602	285	18	to	to	ADP
ejpam-6602	285	19	facilities	facility	NOUN
ejpam-6602	285	20	,	,	PUNCT
ejpam-6602	285	21	minimizing	minimize	VERB
ejpam-6602	285	22	total	total	ADJ
ejpam-6602	285	23	cost	cost	NOUN
ejpam-6602	285	24	.	.	PUNCT
ejpam-6602	286	1	the	the	DET
ejpam-6602	286	2	datasets	dataset	NOUN
ejpam-6602	286	3	are	be	AUX
ejpam-6602	286	4	widely	widely	ADV
ejpam-6602	286	5	used	use	VERB
ejpam-6602	286	6	in	in	ADP
ejpam-6602	286	7	supply	supply	NOUN
ejpam-6602	286	8	chain	chain	NOUN
ejpam-6602	286	9	and	and	CCONJ
ejpam-6602	286	10	logistics	logistic	NOUN
ejpam-6602	286	11	research	research	NOUN
ejpam-6602	286	12	.	.	PUNCT
ejpam-6602	287	1	•	•	NUM
ejpam-6602	287	2	job	job	NOUN
ejpam-6602	287	3	shop	shop	NOUN
ejpam-6602	287	4	scheduling	scheduling	NOUN
ejpam-6602	287	5	problem	problem	NOUN
ejpam-6602	287	6	(	(	PUNCT
ejpam-6602	287	7	jsp	jsp	PROPN
ejpam-6602	287	8	):	):	PUNCT
ejpam-6602	287	9	the	the	DET
ejpam-6602	287	10	ft06	ft06	PROPN
ejpam-6602	287	11	and	and	CCONJ
ejpam-6602	287	12	la16	la16	PROPN
ejpam-6602	287	13	datasets	dataset	NOUN
ejpam-6602	287	14	from	from	ADP
ejpam-6602	287	15	orlibrary	orlibrary	ADJ
ejpam-6602	287	16	are	be	AUX
ejpam-6602	287	17	used	use	VERB
ejpam-6602	287	18	.	.	PUNCT
ejpam-6602	288	1	ft06	ft06	PROPN
ejpam-6602	288	2	involves	involve	VERB
ejpam-6602	288	3	6	6	NUM
ejpam-6602	288	4	jobs	job	NOUN
ejpam-6602	288	5	and	and	CCONJ
ejpam-6602	288	6	6	6	NUM
ejpam-6602	288	7	machines	machine	NOUN
ejpam-6602	288	8	,	,	PUNCT
ejpam-6602	288	9	while	while	SCONJ
ejpam-6602	288	10	la16	la16	PROPN
ejpam-6602	288	11	includes	include	VERB
ejpam-6602	288	12	10	10	NUM
ejpam-6602	288	13	jobs	job	NOUN
ejpam-6602	288	14	and	and	CCONJ
ejpam-6602	288	15	10	10	NUM
ejpam-6602	288	16	machines	machine	NOUN
ejpam-6602	288	17	.	.	PUNCT
ejpam-6602	289	1	each	each	DET
ejpam-6602	289	2	job	job	NOUN
ejpam-6602	289	3	comprises	comprise	VERB
ejpam-6602	289	4	a	a	DET
ejpam-6602	289	5	sequence	sequence	NOUN
ejpam-6602	289	6	of	of	ADP
ejpam-6602	289	7	machine	machine	NOUN
ejpam-6602	289	8	operations	operation	NOUN
ejpam-6602	289	9	with	with	ADP
ejpam-6602	289	10	specific	specific	ADJ
ejpam-6602	289	11	processing	processing	NOUN
ejpam-6602	289	12	times	time	NOUN
ejpam-6602	289	13	.	.	PUNCT
ejpam-6602	290	1	the	the	DET
ejpam-6602	290	2	objective	objective	NOUN
ejpam-6602	290	3	is	be	AUX
ejpam-6602	290	4	to	to	PART
ejpam-6602	290	5	minimize	minimize	VERB
ejpam-6602	290	6	the	the	DET
ejpam-6602	290	7	makespan	makespan	NOUN
ejpam-6602	290	8	.	.	PUNCT
ejpam-6602	291	1	these	these	DET
ejpam-6602	291	2	datasets	dataset	NOUN
ejpam-6602	291	3	represent	represent	VERB
ejpam-6602	291	4	classical	classical	ADJ
ejpam-6602	291	5	scheduling	scheduling	NOUN
ejpam-6602	291	6	benchmarks	benchmark	NOUN
ejpam-6602	291	7	and	and	CCONJ
ejpam-6602	291	8	are	be	AUX
ejpam-6602	291	9	useful	useful	ADJ
ejpam-6602	291	10	in	in	ADP
ejpam-6602	291	11	assessing	assess	VERB
ejpam-6602	291	12	algorithmic	algorithmic	ADJ
ejpam-6602	291	13	performance	performance	NOUN
ejpam-6602	291	14	in	in	ADP
ejpam-6602	291	15	manufacturing	manufacturing	NOUN
ejpam-6602	291	16	and	and	CCONJ
ejpam-6602	291	17	production	production	NOUN
ejpam-6602	291	18	environments	environment	NOUN
ejpam-6602	291	19	.	.	PUNCT
ejpam-6602	292	1	5.2	5.2	NUM
ejpam-6602	292	2	.	.	PUNCT
ejpam-6602	292	3	baseline	baseline	PROPN
ejpam-6602	292	4	algorithms	algorithm	NOUN
ejpam-6602	292	5	and	and	CCONJ
ejpam-6602	292	6	hmf	hmf	PROPN
ejpam-6602	292	7	configuration	configuration	NOUN
ejpam-6602	292	8	we	we	PRON
ejpam-6602	292	9	compare	compare	VERB
ejpam-6602	292	10	hmf	hmf	PROPN
ejpam-6602	292	11	with	with	ADP
ejpam-6602	292	12	traditional	traditional	ADJ
ejpam-6602	292	13	metaheuristics	metaheuristic	NOUN
ejpam-6602	292	14	,	,	PUNCT
ejpam-6602	292	15	including	include	VERB
ejpam-6602	292	16	genetic	genetic	ADJ
ejpam-6602	292	17	algorithm	algorithm	NOUN
ejpam-6602	292	18	(	(	PUNCT
ejpam-6602	292	19	ga	ga	PROPN
ejpam-6602	292	20	)	)	PUNCT
ejpam-6602	292	21	,	,	PUNCT
ejpam-6602	292	22	simulated	simulate	VERB
ejpam-6602	292	23	annealing	annealing	NOUN
ejpam-6602	292	24	(	(	PUNCT
ejpam-6602	292	25	sa	sa	PROPN
ejpam-6602	292	26	)	)	PUNCT
ejpam-6602	292	27	,	,	PUNCT
ejpam-6602	292	28	ant	ant	ADJ
ejpam-6602	292	29	colony	colony	NOUN
ejpam-6602	292	30	optimization	optimization	NOUN
ejpam-6602	292	31	(	(	PUNCT
ejpam-6602	292	32	aco	aco	PROPN
ejpam-6602	292	33	)	)	PUNCT
ejpam-6602	292	34	,	,	PUNCT
ejpam-6602	292	35	and	and	CCONJ
ejpam-6602	292	36	particle	particle	NOUN
ejpam-6602	292	37	swarm	swarm	NOUN
ejpam-6602	292	38	optimization	optimization	NOUN
ejpam-6602	292	39	(	(	PUNCT
ejpam-6602	292	40	pso	pso	NOUN
ejpam-6602	292	41	)	)	PUNCT
ejpam-6602	292	42	.	.	PUNCT
ejpam-6602	293	1	to	to	PART
ejpam-6602	293	2	ensure	ensure	VERB
ejpam-6602	293	3	a	a	DET
ejpam-6602	293	4	fair	fair	ADJ
ejpam-6602	293	5	comparison	comparison	NOUN
ejpam-6602	293	6	,	,	PUNCT
ejpam-6602	293	7	each	each	DET
ejpam-6602	293	8	algorithm	algorithm	NOUN
ejpam-6602	293	9	is	be	AUX
ejpam-6602	293	10	implemented	implement	VERB
ejpam-6602	293	11	using	use	VERB
ejpam-6602	293	12	standard	standard	ADJ
ejpam-6602	293	13	parameter	parameter	NOUN
ejpam-6602	293	14	settings	setting	NOUN
ejpam-6602	293	15	commonly	commonly	ADV
ejpam-6602	293	16	adopted	adopt	VERB
ejpam-6602	293	17	in	in	ADP
ejpam-6602	293	18	the	the	DET
ejpam-6602	293	19	literature	literature	NOUN
ejpam-6602	293	20	.	.	PUNCT
ejpam-6602	294	1	k.	k.	PROPN
ejpam-6602	294	2	danach	danach	PROPN
ejpam-6602	294	3	et	et	PROPN
ejpam-6602	294	4	al	al	PROPN
ejpam-6602	294	5	.	.	PUNCT
ejpam-6602	294	6	/	/	SYM
ejpam-6602	294	7	eur	eur	PROPN
ejpam-6602	294	8	.	.	PUNCT
ejpam-6602	295	1	j.	j.	PROPN
ejpam-6602	295	2	pure	pure	PROPN
ejpam-6602	295	3	appl	appl	PROPN
ejpam-6602	295	4	.	.	PROPN
ejpam-6602	295	5	math	math	PROPN
ejpam-6602	295	6	,	,	PUNCT
ejpam-6602	295	7	18	18	NUM
ejpam-6602	295	8	(	(	PUNCT
ejpam-6602	295	9	3	3	NUM
ejpam-6602	295	10	)	)	PUNCT
ejpam-6602	295	11	(	(	PUNCT
ejpam-6602	295	12	2025	2025	NUM
ejpam-6602	295	13	)	)	PUNCT
ejpam-6602	295	14	,	,	PUNCT
ejpam-6602	295	15	6602	6602	NUM
ejpam-6602	295	16	18	18	NUM
ejpam-6602	295	17	of	of	ADP
ejpam-6602	295	18	37	37	NUM
ejpam-6602	295	19	the	the	DET
ejpam-6602	295	20	reinforcement	reinforcement	NOUN
ejpam-6602	295	21	learning	learn	VERB
ejpam-6602	295	22	agent	agent	NOUN
ejpam-6602	295	23	embedded	embed	VERB
ejpam-6602	295	24	within	within	ADP
ejpam-6602	295	25	hmf	hmf	PROPN
ejpam-6602	295	26	is	be	AUX
ejpam-6602	295	27	configured	configure	VERB
ejpam-6602	295	28	as	as	SCONJ
ejpam-6602	295	29	follows	follow	VERB
ejpam-6602	295	30	:	:	PUNCT
ejpam-6602	295	31	the	the	DET
ejpam-6602	295	32	learning	learning	NOUN
ejpam-6602	295	33	rate	rate	NOUN
ejpam-6602	295	34	is	be	AUX
ejpam-6602	295	35	set	set	VERB
ejpam-6602	295	36	to	to	ADP
ejpam-6602	295	37	α	α	NOUN
ejpam-6602	295	38	=	=	NOUN
ejpam-6602	295	39	0.001	0.001	NUM
ejpam-6602	295	40	,	,	PUNCT
ejpam-6602	295	41	and	and	CCONJ
ejpam-6602	295	42	the	the	DET
ejpam-6602	295	43	discount	discount	NOUN
ejpam-6602	295	44	factor	factor	NOUN
ejpam-6602	295	45	is	be	AUX
ejpam-6602	295	46	γ	γ	X
ejpam-6602	295	47	=	=	NOUN
ejpam-6602	295	48	0.95	0.95	NUM
ejpam-6602	295	49	.	.	PUNCT
ejpam-6602	296	1	the	the	DET
ejpam-6602	296	2	replay	replay	NOUN
ejpam-6602	296	3	buffer	buffer	NOUN
ejpam-6602	296	4	size	size	NOUN
ejpam-6602	296	5	is	be	AUX
ejpam-6602	296	6	10,000	10,000	NUM
ejpam-6602	296	7	,	,	PUNCT
ejpam-6602	296	8	with	with	ADP
ejpam-6602	296	9	a	a	DET
ejpam-6602	296	10	minibatch	minibatch	NOUN
ejpam-6602	296	11	size	size	NOUN
ejpam-6602	296	12	of	of	ADP
ejpam-6602	296	13	64	64	NUM
ejpam-6602	296	14	.	.	PUNCT
ejpam-6602	297	1	the	the	DET
ejpam-6602	297	2	target	target	NOUN
ejpam-6602	297	3	network	network	NOUN
ejpam-6602	297	4	is	be	AUX
ejpam-6602	297	5	updated	update	VERB
ejpam-6602	297	6	every	every	DET
ejpam-6602	297	7	100	100	NUM
ejpam-6602	297	8	iterations	iteration	NOUN
ejpam-6602	297	9	.	.	PUNCT
ejpam-6602	298	1	an	an	DET
ejpam-6602	298	2	ϵ-greedy	ϵ-greedy	NOUN
ejpam-6602	298	3	exploration	exploration	NOUN
ejpam-6602	298	4	strategy	strategy	NOUN
ejpam-6602	298	5	is	be	AUX
ejpam-6602	298	6	employed	employ	VERB
ejpam-6602	298	7	,	,	PUNCT
ejpam-6602	298	8	where	where	SCONJ
ejpam-6602	298	9	ϵ	ϵ	NOUN
ejpam-6602	298	10	decays	decay	VERB
ejpam-6602	298	11	linearly	linearly	ADV
ejpam-6602	298	12	from	from	ADP
ejpam-6602	298	13	1.0	1.0	NUM
ejpam-6602	298	14	to	to	PART
ejpam-6602	298	15	0.1	0.1	NUM
ejpam-6602	298	16	over	over	ADP
ejpam-6602	298	17	500	500	NUM
ejpam-6602	298	18	iterations	iteration	NOUN
ejpam-6602	298	19	to	to	PART
ejpam-6602	298	20	balance	balance	VERB
ejpam-6602	298	21	exploration	exploration	NOUN
ejpam-6602	298	22	and	and	CCONJ
ejpam-6602	298	23	exploitation	exploitation	NOUN
ejpam-6602	298	24	throughout	throughout	ADP
ejpam-6602	298	25	the	the	DET
ejpam-6602	298	26	learning	learning	NOUN
ejpam-6602	298	27	process	process	NOUN
ejpam-6602	298	28	.	.	PUNCT
ejpam-6602	299	1	the	the	DET
ejpam-6602	299	2	rl	rl	PROPN
ejpam-6602	299	3	agent	agent	NOUN
ejpam-6602	299	4	dynamically	dynamically	ADV
ejpam-6602	299	5	adjusts	adjust	VERB
ejpam-6602	299	6	key	key	ADJ
ejpam-6602	299	7	hyperparameters	hyperparameter	NOUN
ejpam-6602	299	8	of	of	ADP
ejpam-6602	299	9	the	the	DET
ejpam-6602	299	10	metaheuristics	metaheuristic	NOUN
ejpam-6602	299	11	during	during	ADP
ejpam-6602	299	12	the	the	DET
ejpam-6602	299	13	search	search	NOUN
ejpam-6602	299	14	process	process	NOUN
ejpam-6602	299	15	,	,	PUNCT
ejpam-6602	299	16	including	include	VERB
ejpam-6602	299	17	:	:	PUNCT
ejpam-6602	299	18	(	(	PUNCT
ejpam-6602	299	19	i	i	NOUN
ejpam-6602	299	20	)	)	PUNCT
ejpam-6602	299	21	the	the	DET
ejpam-6602	299	22	mutation	mutation	NOUN
ejpam-6602	299	23	rate	rate	NOUN
ejpam-6602	299	24	in	in	ADP
ejpam-6602	299	25	ga	ga	PROPN
ejpam-6602	299	26	,	,	PUNCT
ejpam-6602	299	27	(	(	PUNCT
ejpam-6602	299	28	ii	ii	NOUN
ejpam-6602	299	29	)	)	PUNCT
ejpam-6602	299	30	the	the	DET
ejpam-6602	299	31	cooling	cool	VERB
ejpam-6602	299	32	schedule	schedule	NOUN
ejpam-6602	299	33	in	in	ADP
ejpam-6602	299	34	sa	sa	PROPN
ejpam-6602	299	35	,	,	PUNCT
ejpam-6602	299	36	(	(	PUNCT
ejpam-6602	299	37	iii	iii	X
ejpam-6602	299	38	)	)	PUNCT
ejpam-6602	299	39	the	the	DET
ejpam-6602	299	40	inertia	inertia	NOUN
ejpam-6602	299	41	and	and	CCONJ
ejpam-6602	299	42	velocity	velocity	NOUN
ejpam-6602	299	43	coefficients	coefficient	NOUN
ejpam-6602	299	44	in	in	ADP
ejpam-6602	299	45	pso	pso	NOUN
ejpam-6602	299	46	,	,	PUNCT
ejpam-6602	299	47	and	and	CCONJ
ejpam-6602	299	48	(	(	PUNCT
ejpam-6602	299	49	iv	iv	X
ejpam-6602	299	50	)	)	PUNCT
ejpam-6602	299	51	the	the	DET
ejpam-6602	299	52	pheromone	pheromone	NOUN
ejpam-6602	299	53	decay	decay	NOUN
ejpam-6602	299	54	rate	rate	NOUN
ejpam-6602	299	55	in	in	ADP
ejpam-6602	299	56	aco	aco	PROPN
ejpam-6602	299	57	.	.	PUNCT
ejpam-6602	300	1	this	this	DET
ejpam-6602	300	2	adaptive	adaptive	ADJ
ejpam-6602	300	3	mechanism	mechanism	NOUN
ejpam-6602	300	4	enables	enable	VERB
ejpam-6602	300	5	hmf	hmf	PROPN
ejpam-6602	300	6	to	to	PART
ejpam-6602	300	7	automatically	automatically	ADV
ejpam-6602	300	8	fine	fine	ADJ
ejpam-6602	300	9	-	-	PUNCT
ejpam-6602	300	10	tune	tune	NOUN
ejpam-6602	300	11	the	the	DET
ejpam-6602	300	12	search	search	NOUN
ejpam-6602	300	13	behavior	behavior	NOUN
ejpam-6602	300	14	of	of	ADP
ejpam-6602	300	15	each	each	DET
ejpam-6602	300	16	underlying	underlie	VERB
ejpam-6602	300	17	algorithm	algorithm	NOUN
ejpam-6602	300	18	based	base	VERB
ejpam-6602	300	19	on	on	ADP
ejpam-6602	300	20	real	real	ADJ
ejpam-6602	300	21	-	-	PUNCT
ejpam-6602	300	22	time	time	NOUN
ejpam-6602	300	23	feedback	feedback	NOUN
ejpam-6602	300	24	from	from	ADP
ejpam-6602	300	25	the	the	DET
ejpam-6602	300	26	optimization	optimization	NOUN
ejpam-6602	300	27	process	process	NOUN
ejpam-6602	300	28	.	.	PUNCT
ejpam-6602	301	1	5.3	5.3	NUM
ejpam-6602	301	2	.	.	PUNCT
ejpam-6602	301	3	computational	computational	ADJ
ejpam-6602	301	4	environment	environment	NOUN
ejpam-6602	301	5	all	all	DET
ejpam-6602	301	6	experiments	experiment	NOUN
ejpam-6602	301	7	were	be	AUX
ejpam-6602	301	8	conducted	conduct	VERB
ejpam-6602	301	9	on	on	ADP
ejpam-6602	301	10	a	a	DET
ejpam-6602	301	11	server	server	NOUN
ejpam-6602	301	12	equipped	equip	VERB
ejpam-6602	301	13	with	with	ADP
ejpam-6602	301	14	:	:	PUNCT
ejpam-6602	301	15	•	•	NUM
ejpam-6602	301	16	intel	intel	PROPN
ejpam-6602	301	17	xeon	xeon	PROPN
ejpam-6602	301	18	e5	e5	PROPN
ejpam-6602	301	19	-	-	PUNCT
ejpam-6602	301	20	2670	2670	NUM
ejpam-6602	301	21	cpu	cpu	NOUN
ejpam-6602	301	22	,	,	PUNCT
ejpam-6602	301	23	128	128	NUM
ejpam-6602	301	24	gb	gb	NOUN
ejpam-6602	301	25	ram	ram	NOUN
ejpam-6602	301	26	,	,	PUNCT
ejpam-6602	301	27	32	32	NUM
ejpam-6602	301	28	logical	logical	ADJ
ejpam-6602	301	29	cores	core	NOUN
ejpam-6602	301	30	•	•	NOUN
ejpam-6602	301	31	operating	operating	NOUN
ejpam-6602	301	32	system	system	NOUN
ejpam-6602	301	33	:	:	PUNCT
ejpam-6602	301	34	ubuntu	ubuntu	NOUN
ejpam-6602	301	35	20.04	20.04	NUM
ejpam-6602	301	36	lts	lts	NOUN
ejpam-6602	301	37	•	•	NOUN
ejpam-6602	301	38	software	software	NOUN
ejpam-6602	301	39	stack	stack	NOUN
ejpam-6602	301	40	:	:	PUNCT
ejpam-6602	301	41	python	python	NOUN
ejpam-6602	301	42	3.10	3.10	NUM
ejpam-6602	301	43	,	,	PUNCT
ejpam-6602	301	44	tensorflow	tensorflow	NOUN
ejpam-6602	301	45	for	for	ADP
ejpam-6602	301	46	dqn	dqn	NOUN
ejpam-6602	301	47	,	,	PUNCT
ejpam-6602	301	48	numpy	numpy	NOUN
ejpam-6602	301	49	and	and	CCONJ
ejpam-6602	301	50	scipy	scipy	NOUN
ejpam-6602	301	51	for	for	ADP
ejpam-6602	301	52	numerical	numerical	ADJ
ejpam-6602	301	53	operations	operation	NOUN
ejpam-6602	301	54	,	,	PUNCT
ejpam-6602	301	55	mpi4py	mpi4py	PROPN
ejpam-6602	301	56	for	for	ADP
ejpam-6602	301	57	parallelism	parallelism	NOUN
ejpam-6602	301	58	6	6	NUM
ejpam-6602	301	59	.	.	PUNCT
ejpam-6602	302	1	experimental	experimental	ADJ
ejpam-6602	302	2	results	result	NOUN
ejpam-6602	302	3	this	this	DET
ejpam-6602	302	4	section	section	NOUN
ejpam-6602	302	5	presents	present	VERB
ejpam-6602	302	6	the	the	DET
ejpam-6602	302	7	results	result	NOUN
ejpam-6602	302	8	of	of	ADP
ejpam-6602	302	9	evaluating	evaluate	VERB
ejpam-6602	302	10	the	the	DET
ejpam-6602	302	11	proposed	propose	VERB
ejpam-6602	302	12	hybrid	hybrid	ADJ
ejpam-6602	302	13	metaheuristic	metaheuristic	ADJ
ejpam-6602	302	14	framework	framework	NOUN
ejpam-6602	302	15	(	(	PUNCT
ejpam-6602	302	16	hmf	hmf	PROPN
ejpam-6602	302	17	)	)	PUNCT
ejpam-6602	302	18	against	against	ADP
ejpam-6602	302	19	traditional	traditional	ADJ
ejpam-6602	302	20	metaheuristic	metaheuristic	ADJ
ejpam-6602	302	21	algorithms	algorithm	NOUN
ejpam-6602	302	22	,	,	PUNCT
ejpam-6602	302	23	including	include	VERB
ejpam-6602	302	24	genetic	genetic	ADJ
ejpam-6602	302	25	algorithm	algorithm	NOUN
ejpam-6602	302	26	(	(	PUNCT
ejpam-6602	302	27	ga	ga	PROPN
ejpam-6602	302	28	)	)	PUNCT
ejpam-6602	302	29	,	,	PUNCT
ejpam-6602	302	30	simulated	simulate	VERB
ejpam-6602	302	31	annealing	annealing	NOUN
ejpam-6602	302	32	(	(	PUNCT
ejpam-6602	302	33	sa	sa	NOUN
ejpam-6602	302	34	)	)	PUNCT
ejpam-6602	302	35	,	,	PUNCT
ejpam-6602	302	36	particle	particle	NOUN
ejpam-6602	302	37	swarm	swarm	NOUN
ejpam-6602	302	38	optimization	optimization	NOUN
ejpam-6602	302	39	(	(	PUNCT
ejpam-6602	302	40	pso	pso	NOUN
ejpam-6602	302	41	)	)	PUNCT
ejpam-6602	302	42	,	,	PUNCT
ejpam-6602	302	43	and	and	CCONJ
ejpam-6602	302	44	ant	ant	ADJ
ejpam-6602	302	45	colony	colony	NOUN
ejpam-6602	302	46	optimization	optimization	NOUN
ejpam-6602	302	47	(	(	PUNCT
ejpam-6602	302	48	aco	aco	PROPN
ejpam-6602	302	49	)	)	PUNCT
ejpam-6602	302	50	.	.	PUNCT
ejpam-6602	303	1	the	the	DET
ejpam-6602	303	2	experiments	experiment	NOUN
ejpam-6602	303	3	were	be	AUX
ejpam-6602	303	4	conducted	conduct	VERB
ejpam-6602	303	5	on	on	ADP
ejpam-6602	303	6	benchmark	benchmark	ADJ
ejpam-6602	303	7	combinatorial	combinatorial	ADJ
ejpam-6602	303	8	optimization	optimization	NOUN
ejpam-6602	303	9	problems	problem	NOUN
ejpam-6602	303	10	,	,	PUNCT
ejpam-6602	303	11	with	with	ADP
ejpam-6602	303	12	performance	performance	NOUN
ejpam-6602	303	13	assessed	assess	VERB
ejpam-6602	303	14	based	base	VERB
ejpam-6602	303	15	on	on	ADP
ejpam-6602	303	16	solution	solution	NOUN
ejpam-6602	303	17	quality	quality	NOUN
ejpam-6602	303	18	,	,	PUNCT
ejpam-6602	303	19	convergence	convergence	NOUN
ejpam-6602	303	20	time	time	NOUN
ejpam-6602	303	21	,	,	PUNCT
ejpam-6602	303	22	success	success	NOUN
ejpam-6602	303	23	rate	rate	NOUN
ejpam-6602	303	24	,	,	PUNCT
ejpam-6602	303	25	and	and	CCONJ
ejpam-6602	303	26	computational	computational	ADJ
ejpam-6602	303	27	cost	cost	NOUN
ejpam-6602	303	28	.	.	PUNCT
ejpam-6602	304	1	6.1	6.1	NUM
ejpam-6602	304	2	.	.	PUNCT
ejpam-6602	304	3	experimental	experimental	ADJ
ejpam-6602	304	4	setup	setup	NOUN
ejpam-6602	304	5	the	the	DET
ejpam-6602	304	6	experiments	experiment	NOUN
ejpam-6602	304	7	were	be	AUX
ejpam-6602	304	8	conducted	conduct	VERB
ejpam-6602	304	9	on	on	ADP
ejpam-6602	304	10	a	a	DET
ejpam-6602	304	11	machine	machine	NOUN
ejpam-6602	304	12	with	with	ADP
ejpam-6602	304	13	an	an	DET
ejpam-6602	304	14	intel	intel	PROPN
ejpam-6602	304	15	core	core	NOUN
ejpam-6602	304	16	i7	i7	NOUN
ejpam-6602	304	17	-	-	PUNCT
ejpam-6602	304	18	12700k	12700k	NUM
ejpam-6602	304	19	processor	processor	NOUN
ejpam-6602	304	20	,	,	PUNCT
ejpam-6602	304	21	32	32	NUM
ejpam-6602	304	22	gb	gb	NOUN
ejpam-6602	304	23	ram	ram	NOUN
ejpam-6602	304	24	,	,	PUNCT
ejpam-6602	304	25	and	and	CCONJ
ejpam-6602	304	26	an	an	DET
ejpam-6602	304	27	nvidia	nvidia	PROPN
ejpam-6602	304	28	rtx	rtx	PROPN
ejpam-6602	304	29	3090	3090	NUM
ejpam-6602	304	30	gpu	gpu	NOUN
ejpam-6602	304	31	.	.	PUNCT
ejpam-6602	305	1	each	each	DET
ejpam-6602	305	2	algorithm	algorithm	NOUN
ejpam-6602	305	3	was	be	AUX
ejpam-6602	305	4	tested	test	VERB
ejpam-6602	305	5	on	on	ADP
ejpam-6602	305	6	three	three	NUM
ejpam-6602	305	7	benchmark	benchmark	ADJ
ejpam-6602	305	8	problems	problem	NOUN
ejpam-6602	305	9	:	:	PUNCT
ejpam-6602	305	10	•	•	NUM
ejpam-6602	305	11	vehicle	vehicle	NOUN
ejpam-6602	305	12	routing	routing	NOUN
ejpam-6602	305	13	problem	problem	NOUN
ejpam-6602	305	14	(	(	PUNCT
ejpam-6602	305	15	vrp	vrp	NOUN
ejpam-6602	305	16	)	)	PUNCT
ejpam-6602	305	17	•	•	NOUN
ejpam-6602	305	18	facility	facility	NOUN
ejpam-6602	305	19	location	location	NOUN
ejpam-6602	305	20	problem	problem	NOUN
ejpam-6602	305	21	(	(	PUNCT
ejpam-6602	305	22	flp	flp	NOUN
ejpam-6602	305	23	)	)	PUNCT
ejpam-6602	305	24	•	•	NUM
ejpam-6602	305	25	job	job	NOUN
ejpam-6602	305	26	scheduling	scheduling	NOUN
ejpam-6602	305	27	problem	problem	NOUN
ejpam-6602	305	28	(	(	PUNCT
ejpam-6602	305	29	jsp	jsp	PROPN
ejpam-6602	305	30	)	)	PUNCT
ejpam-6602	305	31	each	each	DET
ejpam-6602	305	32	algorithm	algorithm	NOUN
ejpam-6602	305	33	was	be	AUX
ejpam-6602	305	34	executed	execute	VERB
ejpam-6602	305	35	50	50	NUM
ejpam-6602	305	36	times	time	NOUN
ejpam-6602	305	37	on	on	ADP
ejpam-6602	305	38	each	each	DET
ejpam-6602	305	39	problem	problem	NOUN
ejpam-6602	305	40	,	,	PUNCT
ejpam-6602	305	41	and	and	CCONJ
ejpam-6602	305	42	the	the	DET
ejpam-6602	305	43	reported	report	VERB
ejpam-6602	305	44	values	value	NOUN
ejpam-6602	305	45	are	be	AUX
ejpam-6602	305	46	averaged	average	VERB
ejpam-6602	305	47	over	over	ADP
ejpam-6602	305	48	all	all	DET
ejpam-6602	305	49	runs	run	NOUN
ejpam-6602	305	50	.	.	PUNCT
ejpam-6602	306	1	k.	k.	PROPN
ejpam-6602	306	2	danach	danach	PROPN
ejpam-6602	306	3	et	et	PROPN
ejpam-6602	306	4	al	al	PROPN
ejpam-6602	306	5	.	.	PUNCT
ejpam-6602	306	6	/	/	SYM
ejpam-6602	306	7	eur	eur	PROPN
ejpam-6602	306	8	.	.	PUNCT
ejpam-6602	307	1	j.	j.	PROPN
ejpam-6602	307	2	pure	pure	PROPN
ejpam-6602	307	3	appl	appl	PROPN
ejpam-6602	307	4	.	.	PROPN
ejpam-6602	307	5	math	math	PROPN
ejpam-6602	307	6	,	,	PUNCT
ejpam-6602	307	7	18	18	NUM
ejpam-6602	307	8	(	(	PUNCT
ejpam-6602	307	9	3	3	NUM
ejpam-6602	307	10	)	)	PUNCT
ejpam-6602	307	11	(	(	PUNCT
ejpam-6602	307	12	2025	2025	NUM
ejpam-6602	307	13	)	)	PUNCT
ejpam-6602	307	14	,	,	PUNCT
ejpam-6602	307	15	6602	6602	NUM
ejpam-6602	307	16	19	19	NUM
ejpam-6602	307	17	of	of	ADP
ejpam-6602	307	18	37	37	NUM
ejpam-6602	307	19	6.2	6.2	NUM
ejpam-6602	307	20	.	.	PUNCT
ejpam-6602	308	1	performance	performance	NOUN
ejpam-6602	308	2	metrics	metric	NOUN
ejpam-6602	308	3	to	to	PART
ejpam-6602	308	4	evaluate	evaluate	VERB
ejpam-6602	308	5	and	and	CCONJ
ejpam-6602	308	6	compare	compare	VERB
ejpam-6602	308	7	the	the	DET
ejpam-6602	308	8	performance	performance	NOUN
ejpam-6602	308	9	of	of	ADP
ejpam-6602	308	10	different	different	ADJ
ejpam-6602	308	11	metaheuristics	metaheuristic	NOUN
ejpam-6602	308	12	,	,	PUNCT
ejpam-6602	308	13	the	the	DET
ejpam-6602	308	14	following	follow	VERB
ejpam-6602	308	15	key	key	ADJ
ejpam-6602	308	16	metrics	metric	NOUN
ejpam-6602	308	17	were	be	AUX
ejpam-6602	308	18	considered	consider	VERB
ejpam-6602	308	19	:	:	PUNCT
ejpam-6602	308	20	•	•	NUM
ejpam-6602	308	21	best	good	ADJ
ejpam-6602	308	22	solution	solution	NOUN
ejpam-6602	308	23	found	find	VERB
ejpam-6602	308	24	:	:	PUNCT
ejpam-6602	308	25	the	the	DET
ejpam-6602	308	26	lowest	low	ADJ
ejpam-6602	308	27	(	(	PUNCT
ejpam-6602	308	28	or	or	CCONJ
ejpam-6602	308	29	highest	high	ADJ
ejpam-6602	308	30	for	for	ADP
ejpam-6602	308	31	maximization	maximization	NOUN
ejpam-6602	308	32	problems	problem	NOUN
ejpam-6602	308	33	)	)	PUNCT
ejpam-6602	308	34	objective	objective	ADJ
ejpam-6602	308	35	function	function	NOUN
ejpam-6602	308	36	value	value	NOUN
ejpam-6602	308	37	achieved	achieve	VERB
ejpam-6602	308	38	.	.	PUNCT
ejpam-6602	309	1	•	•	NUM
ejpam-6602	309	2	average	average	ADJ
ejpam-6602	309	3	convergence	convergence	NOUN
ejpam-6602	309	4	time	time	NOUN
ejpam-6602	309	5	:	:	PUNCT
ejpam-6602	309	6	the	the	DET
ejpam-6602	309	7	time	time	NOUN
ejpam-6602	309	8	taken	take	VERB
ejpam-6602	309	9	to	to	PART
ejpam-6602	309	10	reach	reach	VERB
ejpam-6602	309	11	the	the	DET
ejpam-6602	309	12	best	good	ADJ
ejpam-6602	309	13	solution	solution	NOUN
ejpam-6602	309	14	.	.	PUNCT
ejpam-6602	310	1	•	•	NOUN
ejpam-6602	310	2	success	success	NOUN
ejpam-6602	310	3	rate	rate	NOUN
ejpam-6602	310	4	:	:	PUNCT
ejpam-6602	310	5	the	the	DET
ejpam-6602	310	6	percentage	percentage	NOUN
ejpam-6602	310	7	of	of	ADP
ejpam-6602	310	8	runs	run	NOUN
ejpam-6602	310	9	where	where	SCONJ
ejpam-6602	310	10	the	the	DET
ejpam-6602	310	11	algorithm	algorithm	NOUN
ejpam-6602	310	12	reached	reach	VERB
ejpam-6602	310	13	a	a	DET
ejpam-6602	310	14	near	near	ADV
ejpam-6602	310	15	-	-	PUNCT
ejpam-6602	310	16	optimal	optimal	ADJ
ejpam-6602	310	17	solution	solution	NOUN
ejpam-6602	310	18	within	within	ADP
ejpam-6602	310	19	a	a	DET
ejpam-6602	310	20	predefined	predefine	VERB
ejpam-6602	310	21	threshold	threshold	NOUN
ejpam-6602	310	22	.	.	PUNCT
ejpam-6602	311	1	•	•	NUM
ejpam-6602	311	2	computational	computational	ADJ
ejpam-6602	311	3	cost	cost	NOUN
ejpam-6602	311	4	:	:	PUNCT
ejpam-6602	311	5	the	the	DET
ejpam-6602	311	6	total	total	ADJ
ejpam-6602	311	7	cpu	cpu	NOUN
ejpam-6602	311	8	time	time	NOUN
ejpam-6602	311	9	required	require	VERB
ejpam-6602	311	10	to	to	PART
ejpam-6602	311	11	execute	execute	VERB
ejpam-6602	311	12	the	the	DET
ejpam-6602	311	13	algorithm	algorithm	NOUN
ejpam-6602	311	14	.	.	PUNCT
ejpam-6602	312	1	6.3	6.3	NUM
ejpam-6602	312	2	.	.	PUNCT
ejpam-6602	313	1	comparison	comparison	NOUN
ejpam-6602	313	2	of	of	ADP
ejpam-6602	313	3	metaheuristic	metaheuristic	ADJ
ejpam-6602	313	4	approaches	approach	NOUN
ejpam-6602	313	5	table	table	NOUN
ejpam-6602	313	6	1	1	NUM
ejpam-6602	313	7	presents	present	VERB
ejpam-6602	313	8	a	a	DET
ejpam-6602	313	9	comprehensive	comprehensive	ADJ
ejpam-6602	313	10	comparison	comparison	NOUN
ejpam-6602	313	11	of	of	ADP
ejpam-6602	313	12	the	the	DET
ejpam-6602	313	13	proposed	propose	VERB
ejpam-6602	313	14	hybrid	hybrid	ADJ
ejpam-6602	313	15	metaheuristic	metaheuristic	ADJ
ejpam-6602	313	16	framework	framework	NOUN
ejpam-6602	313	17	(	(	PUNCT
ejpam-6602	313	18	hmf	hmf	PROPN
ejpam-6602	313	19	)	)	PUNCT
ejpam-6602	313	20	against	against	ADP
ejpam-6602	313	21	traditional	traditional	ADJ
ejpam-6602	313	22	metaheuristics	metaheuristic	NOUN
ejpam-6602	313	23	across	across	ADP
ejpam-6602	313	24	50	50	NUM
ejpam-6602	313	25	independent	independent	ADJ
ejpam-6602	313	26	runs	run	NOUN
ejpam-6602	313	27	.	.	PUNCT
ejpam-6602	314	1	the	the	DET
ejpam-6602	314	2	results	result	NOUN
ejpam-6602	314	3	clearly	clearly	ADV
ejpam-6602	314	4	demonstrate	demonstrate	VERB
ejpam-6602	314	5	the	the	DET
ejpam-6602	314	6	superior	superior	ADJ
ejpam-6602	314	7	performance	performance	NOUN
ejpam-6602	314	8	of	of	ADP
ejpam-6602	314	9	hmf	hmf	NOUN
ejpam-6602	314	10	in	in	ADP
ejpam-6602	314	11	terms	term	NOUN
ejpam-6602	314	12	of	of	ADP
ejpam-6602	314	13	best	good	ADJ
ejpam-6602	314	14	and	and	CCONJ
ejpam-6602	314	15	average	average	ADJ
ejpam-6602	314	16	solution	solution	NOUN
ejpam-6602	314	17	quality	quality	NOUN
ejpam-6602	314	18	,	,	PUNCT
ejpam-6602	314	19	which	which	PRON
ejpam-6602	314	20	are	be	AUX
ejpam-6602	314	21	significantly	significantly	ADV
ejpam-6602	314	22	lower	low	ADJ
ejpam-6602	314	23	than	than	ADP
ejpam-6602	314	24	those	those	PRON
ejpam-6602	314	25	obtained	obtain	VERB
ejpam-6602	314	26	by	by	ADP
ejpam-6602	314	27	ga	ga	PROPN
ejpam-6602	314	28	,	,	PUNCT
ejpam-6602	314	29	sa	sa	PROPN
ejpam-6602	314	30	,	,	PUNCT
ejpam-6602	314	31	pso	pso	NOUN
ejpam-6602	314	32	,	,	PUNCT
ejpam-6602	314	33	and	and	CCONJ
ejpam-6602	314	34	aco	aco	PROPN
ejpam-6602	314	35	.	.	PUNCT
ejpam-6602	315	1	notably	notably	ADV
ejpam-6602	315	2	,	,	PUNCT
ejpam-6602	315	3	hmf	hmf	PROPN
ejpam-6602	315	4	also	also	ADV
ejpam-6602	315	5	exhibits	exhibit	VERB
ejpam-6602	315	6	the	the	DET
ejpam-6602	315	7	lowest	low	ADJ
ejpam-6602	315	8	standard	standard	ADJ
ejpam-6602	315	9	deviation	deviation	NOUN
ejpam-6602	315	10	,	,	PUNCT
ejpam-6602	315	11	indicating	indicate	VERB
ejpam-6602	315	12	high	high	ADJ
ejpam-6602	315	13	stability	stability	NOUN
ejpam-6602	315	14	and	and	CCONJ
ejpam-6602	315	15	robustness	robustness	NOUN
ejpam-6602	315	16	.	.	PUNCT
ejpam-6602	316	1	in	in	ADP
ejpam-6602	316	2	addition	addition	NOUN
ejpam-6602	316	3	,	,	PUNCT
ejpam-6602	316	4	the	the	DET
ejpam-6602	316	5	framework	framework	NOUN
ejpam-6602	316	6	achieves	achieve	VERB
ejpam-6602	316	7	the	the	DET
ejpam-6602	316	8	fastest	fast	ADJ
ejpam-6602	316	9	average	average	ADJ
ejpam-6602	316	10	convergence	convergence	NOUN
ejpam-6602	316	11	time	time	NOUN
ejpam-6602	316	12	and	and	CCONJ
ejpam-6602	316	13	the	the	DET
ejpam-6602	316	14	highest	high	ADJ
ejpam-6602	316	15	success	success	NOUN
ejpam-6602	316	16	rate	rate	NOUN
ejpam-6602	316	17	,	,	PUNCT
ejpam-6602	316	18	reflecting	reflect	VERB
ejpam-6602	316	19	its	its	PRON
ejpam-6602	316	20	ability	ability	NOUN
ejpam-6602	316	21	to	to	PART
ejpam-6602	316	22	reliably	reliably	ADV
ejpam-6602	316	23	reach	reach	VERB
ejpam-6602	316	24	near	near	ADV
ejpam-6602	316	25	-	-	PUNCT
ejpam-6602	316	26	optimal	optimal	ADJ
ejpam-6602	316	27	solutions	solution	NOUN
ejpam-6602	316	28	.	.	PUNCT
ejpam-6602	317	1	despite	despite	SCONJ
ejpam-6602	317	2	incorporating	incorporate	VERB
ejpam-6602	317	3	reinforcement	reinforcement	NOUN
ejpam-6602	317	4	learning	learning	NOUN
ejpam-6602	317	5	,	,	PUNCT
ejpam-6602	317	6	hmf	hmf	PROPN
ejpam-6602	317	7	maintains	maintain	VERB
ejpam-6602	317	8	the	the	DET
ejpam-6602	317	9	lowest	low	ADJ
ejpam-6602	317	10	computational	computational	ADJ
ejpam-6602	317	11	cost	cost	NOUN
ejpam-6602	317	12	due	due	ADP
ejpam-6602	317	13	to	to	ADP
ejpam-6602	317	14	its	its	PRON
ejpam-6602	317	15	efficient	efficient	ADJ
ejpam-6602	317	16	parallel	parallel	ADJ
ejpam-6602	317	17	execution	execution	NOUN
ejpam-6602	317	18	model	model	NOUN
ejpam-6602	317	19	.	.	PUNCT
ejpam-6602	318	1	these	these	DET
ejpam-6602	318	2	findings	finding	NOUN
ejpam-6602	318	3	support	support	VERB
ejpam-6602	318	4	our	our	PRON
ejpam-6602	318	5	claim	claim	NOUN
ejpam-6602	318	6	that	that	SCONJ
ejpam-6602	318	7	hmf	hmf	NOUN
ejpam-6602	318	8	consistently	consistently	ADV
ejpam-6602	318	9	outperforms	outperform	VERB
ejpam-6602	318	10	existing	exist	VERB
ejpam-6602	318	11	methods	method	NOUN
ejpam-6602	318	12	in	in	ADP
ejpam-6602	318	13	both	both	PRON
ejpam-6602	318	14	optimization	optimization	NOUN
ejpam-6602	318	15	effectiveness	effectiveness	NOUN
ejpam-6602	318	16	and	and	CCONJ
ejpam-6602	318	17	runtime	runtime	NOUN
ejpam-6602	318	18	efficiency	efficiency	NOUN
ejpam-6602	318	19	.	.	PUNCT
ejpam-6602	319	1	table	table	NOUN
ejpam-6602	319	2	1	1	NUM
ejpam-6602	319	3	:	:	PUNCT
ejpam-6602	319	4	performance	performance	NOUN
ejpam-6602	319	5	comparison	comparison	NOUN
ejpam-6602	319	6	of	of	ADP
ejpam-6602	319	7	metaheuristic	metaheuristic	ADJ
ejpam-6602	319	8	algorithms	algorithm	NOUN
ejpam-6602	319	9	metaheuristic	metaheuristic	ADJ
ejpam-6602	319	10	best	good	ADJ
ejpam-6602	319	11	average	average	ADJ
ejpam-6602	319	12	std	std	NOUN
ejpam-6602	319	13	.	.	PUNCT
ejpam-6602	320	1	dev	dev	PROPN
ejpam-6602	320	2	.	.	PUNCT
ejpam-6602	321	1	conv	conv	PROPN
ejpam-6602	321	2	.	.	PUNCT
ejpam-6602	322	1	time	time	NOUN
ejpam-6602	322	2	(	(	PUNCT
ejpam-6602	322	3	s	s	NOUN
ejpam-6602	322	4	)	)	PUNCT
ejpam-6602	322	5	success	success	NOUN
ejpam-6602	322	6	rate	rate	NOUN
ejpam-6602	322	7	(	(	PUNCT
ejpam-6602	322	8	%	%	INTJ
ejpam-6602	322	9	)	)	PUNCT
ejpam-6602	322	10	comp	comp	NOUN
ejpam-6602	322	11	.	.	PUNCT
ejpam-6602	323	1	cost	cost	NOUN
ejpam-6602	323	2	(	(	PUNCT
ejpam-6602	323	3	sec	sec	PROPN
ejpam-6602	323	4	)	)	PUNCT
ejpam-6602	323	5	ga	ga	PROPN
ejpam-6602	324	1	452.3	452.3	NUM
ejpam-6602	324	2	458.1	458.1	NUM
ejpam-6602	324	3	6.3	6.3	NUM
ejpam-6602	324	4	15.2	15.2	NUM
ejpam-6602	324	5	85.4	85.4	NUM
ejpam-6602	324	6	320	320	NUM
ejpam-6602	324	7	sa	sa	ADP
ejpam-6602	324	8	439.8	439.8	NUM
ejpam-6602	324	9	445.2	445.2	NUM
ejpam-6602	324	10	5.7	5.7	NUM
ejpam-6602	324	11	12.8	12.8	NUM
ejpam-6602	324	12	88.2	88.2	NUM
ejpam-6602	324	13	280	280	NUM
ejpam-6602	324	14	pso	pso	NOUN
ejpam-6602	324	15	428.1	428.1	NUM
ejpam-6602	324	16	432.6	432.6	NUM
ejpam-6602	324	17	5.1	5.1	NUM
ejpam-6602	324	18	11.5	11.5	NUM
ejpam-6602	324	19	90.1	90.1	NUM
ejpam-6602	324	20	250	250	NUM
ejpam-6602	324	21	aco	aco	PROPN
ejpam-6602	324	22	420.5	420.5	NUM
ejpam-6602	324	23	425.9	425.9	NUM
ejpam-6602	324	24	4.3	4.3	NUM
ejpam-6602	324	25	10.9	10.9	NUM
ejpam-6602	324	26	92.5	92.5	NUM
ejpam-6602	324	27	230	230	NUM
ejpam-6602	324	28	hmf	hmf	PROPN
ejpam-6602	324	29	398.2	398.2	NUM
ejpam-6602	324	30	401.4	401.4	NUM
ejpam-6602	324	31	4.5	4.5	NUM
ejpam-6602	324	32	8.3	8.3	NUM
ejpam-6602	324	33	96.8	96.8	NUM
ejpam-6602	324	34	190	190	NUM
ejpam-6602	324	35	6.4	6.4	NUM
ejpam-6602	324	36	.	.	PUNCT
ejpam-6602	325	1	analysis	analysis	NOUN
ejpam-6602	325	2	of	of	ADP
ejpam-6602	325	3	experimental	experimental	ADJ
ejpam-6602	325	4	results	result	NOUN
ejpam-6602	325	5	6.4.1	6.4.1	NUM
ejpam-6602	325	6	.	.	PUNCT
ejpam-6602	326	1	best	good	ADJ
ejpam-6602	326	2	solution	solution	NOUN
ejpam-6602	326	3	found	find	VERB
ejpam-6602	326	4	figure	figure	NOUN
ejpam-6602	326	5	2	2	NUM
ejpam-6602	326	6	illustrates	illustrate	VERB
ejpam-6602	326	7	the	the	DET
ejpam-6602	326	8	relative	relative	ADJ
ejpam-6602	326	9	improvement	improvement	NOUN
ejpam-6602	326	10	in	in	ADP
ejpam-6602	326	11	best	good	ADJ
ejpam-6602	326	12	solution	solution	NOUN
ejpam-6602	326	13	quality	quality	NOUN
ejpam-6602	326	14	achieved	achieve	VERB
ejpam-6602	326	15	by	by	ADP
ejpam-6602	326	16	the	the	DET
ejpam-6602	326	17	proposed	propose	VERB
ejpam-6602	326	18	hmf	hmf	PROPN
ejpam-6602	326	19	compared	compare	VERB
ejpam-6602	326	20	to	to	ADP
ejpam-6602	326	21	baseline	baseline	VERB
ejpam-6602	326	22	metaheuristics	metaheuristic	NOUN
ejpam-6602	326	23	.	.	PUNCT
ejpam-6602	327	1	the	the	DET
ejpam-6602	327	2	chart	chart	NOUN
ejpam-6602	327	3	highlights	highlight	VERB
ejpam-6602	327	4	the	the	DET
ejpam-6602	327	5	percentage	percentage	NOUN
ejpam-6602	327	6	gain	gain	NOUN
ejpam-6602	327	7	k.	k.	PROPN
ejpam-6602	327	8	danach	danach	PROPN
ejpam-6602	327	9	et	et	PROPN
ejpam-6602	327	10	al	al	PROPN
ejpam-6602	327	11	.	.	PUNCT
ejpam-6602	327	12	/	/	SYM
ejpam-6602	327	13	eur	eur	PROPN
ejpam-6602	327	14	.	.	PUNCT
ejpam-6602	328	1	j.	j.	PROPN
ejpam-6602	328	2	pure	pure	PROPN
ejpam-6602	328	3	appl	appl	PROPN
ejpam-6602	328	4	.	.	PROPN
ejpam-6602	328	5	math	math	PROPN
ejpam-6602	328	6	,	,	PUNCT
ejpam-6602	328	7	18	18	NUM
ejpam-6602	328	8	(	(	PUNCT
ejpam-6602	328	9	3	3	NUM
ejpam-6602	328	10	)	)	PUNCT
ejpam-6602	328	11	(	(	PUNCT
ejpam-6602	328	12	2025	2025	NUM
ejpam-6602	328	13	)	)	PUNCT
ejpam-6602	328	14	,	,	PUNCT
ejpam-6602	328	15	6602	6602	NUM
ejpam-6602	328	16	20	20	NUM
ejpam-6602	328	17	of	of	ADP
ejpam-6602	328	18	37	37	NUM
ejpam-6602	328	19	of	of	ADP
ejpam-6602	328	20	hmf	hmf	PROPN
ejpam-6602	328	21	over	over	ADP
ejpam-6602	328	22	ga	ga	PROPN
ejpam-6602	328	23	,	,	PUNCT
ejpam-6602	328	24	sa	sa	PROPN
ejpam-6602	328	25	,	,	PUNCT
ejpam-6602	328	26	pso	pso	NOUN
ejpam-6602	328	27	,	,	PUNCT
ejpam-6602	328	28	and	and	CCONJ
ejpam-6602	328	29	aco	aco	PROPN
ejpam-6602	328	30	.	.	PUNCT
ejpam-6602	329	1	the	the	DET
ejpam-6602	329	2	results	result	NOUN
ejpam-6602	329	3	show	show	VERB
ejpam-6602	329	4	that	that	SCONJ
ejpam-6602	329	5	hmf	hmf	PROPN
ejpam-6602	329	6	delivers	deliver	VERB
ejpam-6602	329	7	a	a	DET
ejpam-6602	329	8	substantial	substantial	ADJ
ejpam-6602	329	9	improvement	improvement	NOUN
ejpam-6602	329	10	—	—	PUNCT
ejpam-6602	329	11	ranging	range	VERB
ejpam-6602	329	12	from	from	ADP
ejpam-6602	329	13	approximately	approximately	ADV
ejpam-6602	329	14	5.3	5.3	NUM
ejpam-6602	329	15	%	%	NOUN
ejpam-6602	329	16	over	over	ADP
ejpam-6602	329	17	aco	aco	PROPN
ejpam-6602	329	18	to	to	ADP
ejpam-6602	329	19	over	over	ADP
ejpam-6602	329	20	12	12	NUM
ejpam-6602	329	21	%	%	NOUN
ejpam-6602	329	22	compared	compare	VERB
ejpam-6602	329	23	to	to	ADP
ejpam-6602	329	24	ga	ga	PROPN
ejpam-6602	329	25	—	—	PUNCT
ejpam-6602	329	26	demonstrating	demonstrate	VERB
ejpam-6602	329	27	its	its	PRON
ejpam-6602	329	28	consistent	consistent	ADJ
ejpam-6602	329	29	superiority	superiority	NOUN
ejpam-6602	329	30	in	in	ADP
ejpam-6602	329	31	optimizing	optimize	VERB
ejpam-6602	329	32	solution	solution	NOUN
ejpam-6602	329	33	quality	quality	NOUN
ejpam-6602	329	34	across	across	ADP
ejpam-6602	329	35	diverse	diverse	ADJ
ejpam-6602	329	36	algorithms	algorithm	NOUN
ejpam-6602	329	37	.	.	PUNCT
ejpam-6602	330	1	figure	figure	VERB
ejpam-6602	330	2	2	2	NUM
ejpam-6602	330	3	:	:	PUNCT
ejpam-6602	330	4	relative	relative	ADJ
ejpam-6602	330	5	improvement	improvement	NOUN
ejpam-6602	330	6	in	in	ADP
ejpam-6602	330	7	best	good	ADJ
ejpam-6602	330	8	solution	solution	NOUN
ejpam-6602	330	9	quality	quality	NOUN
ejpam-6602	330	10	by	by	ADP
ejpam-6602	330	11	hmf	hmf	NOUN
ejpam-6602	330	12	compared	compare	VERB
ejpam-6602	330	13	to	to	PART
ejpam-6602	330	14	baseline	baseline	VERB
ejpam-6602	330	15	metaheuristics	metaheuristic	NOUN
ejpam-6602	330	16	6.4.2	6.4.2	NUM
ejpam-6602	330	17	.	.	PUNCT
ejpam-6602	331	1	convergence	convergence	NOUN
ejpam-6602	331	2	time	time	NOUN
ejpam-6602	331	3	figure	figure	NOUN
ejpam-6602	331	4	3	3	NUM
ejpam-6602	331	5	illustrates	illustrate	VERB
ejpam-6602	331	6	the	the	DET
ejpam-6602	331	7	average	average	ADJ
ejpam-6602	331	8	convergence	convergence	NOUN
ejpam-6602	331	9	trajectories	trajectory	NOUN
ejpam-6602	331	10	of	of	ADP
ejpam-6602	331	11	all	all	PRON
ejpam-6602	331	12	compared	compare	VERB
ejpam-6602	331	13	algorithms	algorithm	NOUN
ejpam-6602	331	14	over	over	ADP
ejpam-6602	331	15	50	50	NUM
ejpam-6602	331	16	runs	run	NOUN
ejpam-6602	331	17	.	.	PUNCT
ejpam-6602	332	1	the	the	DET
ejpam-6602	332	2	proposed	propose	VERB
ejpam-6602	332	3	hmf	hmf	PROPN
ejpam-6602	332	4	demonstrates	demonstrate	VERB
ejpam-6602	332	5	the	the	DET
ejpam-6602	332	6	fastest	fast	ADJ
ejpam-6602	332	7	convergence	convergence	NOUN
ejpam-6602	332	8	behavior	behavior	NOUN
ejpam-6602	332	9	,	,	PUNCT
ejpam-6602	332	10	reaching	reach	VERB
ejpam-6602	332	11	nearoptimal	nearoptimal	ADJ
ejpam-6602	332	12	solutions	solution	NOUN
ejpam-6602	332	13	significantly	significantly	ADV
ejpam-6602	332	14	earlier	early	ADV
ejpam-6602	332	15	than	than	ADP
ejpam-6602	332	16	other	other	ADJ
ejpam-6602	332	17	metaheuristics	metaheuristic	NOUN
ejpam-6602	332	18	.	.	PUNCT
ejpam-6602	333	1	this	this	DET
ejpam-6602	333	2	empirical	empirical	ADJ
ejpam-6602	333	3	result	result	NOUN
ejpam-6602	333	4	validates	validate	VERB
ejpam-6602	333	5	the	the	DET
ejpam-6602	333	6	framework	framework	NOUN
ejpam-6602	333	7	’s	’s	PART
ejpam-6602	333	8	ability	ability	NOUN
ejpam-6602	333	9	to	to	PART
ejpam-6602	333	10	efficiently	efficiently	ADV
ejpam-6602	333	11	balance	balance	VERB
ejpam-6602	333	12	exploration	exploration	NOUN
ejpam-6602	333	13	and	and	CCONJ
ejpam-6602	333	14	exploitation	exploitation	NOUN
ejpam-6602	333	15	via	via	ADP
ejpam-6602	333	16	reinforcement	reinforcement	NOUN
ejpam-6602	333	17	learning	learning	NOUN
ejpam-6602	333	18	.	.	PUNCT
ejpam-6602	334	1	to	to	PART
ejpam-6602	334	2	further	far	ADV
ejpam-6602	334	3	support	support	VERB
ejpam-6602	334	4	this	this	DET
ejpam-6602	334	5	analysis	analysis	NOUN
ejpam-6602	334	6	,	,	PUNCT
ejpam-6602	334	7	figures	figure	VERB
ejpam-6602	334	8	4–6	4–6	PROPN
ejpam-6602	334	9	present	present	ADJ
ejpam-6602	334	10	per	per	ADP
ejpam-6602	334	11	-	-	PUNCT
ejpam-6602	334	12	problem	problem	NOUN
ejpam-6602	334	13	convergence	convergence	NOUN
ejpam-6602	334	14	curves	curve	NOUN
ejpam-6602	334	15	for	for	ADP
ejpam-6602	334	16	the	the	DET
ejpam-6602	334	17	vehicle	vehicle	NOUN
ejpam-6602	334	18	routing	routing	NOUN
ejpam-6602	334	19	problem	problem	NOUN
ejpam-6602	334	20	(	(	PUNCT
ejpam-6602	334	21	vrp	vrp	NOUN
ejpam-6602	334	22	)	)	PUNCT
ejpam-6602	334	23	,	,	PUNCT
ejpam-6602	334	24	facility	facility	NOUN
ejpam-6602	334	25	location	location	NOUN
ejpam-6602	334	26	problem	problem	NOUN
ejpam-6602	334	27	(	(	PUNCT
ejpam-6602	334	28	flp	flp	NOUN
ejpam-6602	334	29	)	)	PUNCT
ejpam-6602	334	30	,	,	PUNCT
ejpam-6602	334	31	and	and	CCONJ
ejpam-6602	334	32	job	job	NOUN
ejpam-6602	334	33	scheduling	scheduling	NOUN
ejpam-6602	334	34	problem	problem	NOUN
ejpam-6602	334	35	(	(	PUNCT
ejpam-6602	334	36	jsp	jsp	PROPN
ejpam-6602	334	37	)	)	PUNCT
ejpam-6602	334	38	,	,	PUNCT
ejpam-6602	334	39	respectively	respectively	ADV
ejpam-6602	334	40	.	.	PUNCT
ejpam-6602	335	1	these	these	DET
ejpam-6602	335	2	figures	figure	NOUN
ejpam-6602	335	3	show	show	VERB
ejpam-6602	335	4	that	that	SCONJ
ejpam-6602	335	5	hmf	hmf	PROPN
ejpam-6602	335	6	consistently	consistently	ADV
ejpam-6602	335	7	achieves	achieve	VERB
ejpam-6602	335	8	lower	low	ADJ
ejpam-6602	335	9	objective	objective	ADJ
ejpam-6602	335	10	function	function	NOUN
ejpam-6602	335	11	values	value	NOUN
ejpam-6602	335	12	in	in	ADP
ejpam-6602	335	13	fewer	few	ADJ
ejpam-6602	335	14	iterations	iteration	NOUN
ejpam-6602	335	15	across	across	ADP
ejpam-6602	335	16	diverse	diverse	ADJ
ejpam-6602	335	17	problem	problem	NOUN
ejpam-6602	335	18	domains	domain	NOUN
ejpam-6602	335	19	,	,	PUNCT
ejpam-6602	335	20	confirming	confirm	VERB
ejpam-6602	335	21	its	its	PRON
ejpam-6602	335	22	generalizability	generalizability	NOUN
ejpam-6602	335	23	and	and	CCONJ
ejpam-6602	335	24	convergence	convergence	NOUN
ejpam-6602	335	25	efficiency	efficiency	NOUN
ejpam-6602	335	26	.	.	PUNCT
ejpam-6602	336	1	k.	k.	PROPN
ejpam-6602	336	2	danach	danach	PROPN
ejpam-6602	336	3	et	et	PROPN
ejpam-6602	336	4	al	al	PROPN
ejpam-6602	336	5	.	.	PUNCT
ejpam-6602	336	6	/	/	SYM
ejpam-6602	336	7	eur	eur	PROPN
ejpam-6602	336	8	.	.	PUNCT
ejpam-6602	337	1	j.	j.	PROPN
ejpam-6602	337	2	pure	pure	PROPN
ejpam-6602	337	3	appl	appl	PROPN
ejpam-6602	337	4	.	.	PROPN
ejpam-6602	337	5	math	math	PROPN
ejpam-6602	337	6	,	,	PUNCT
ejpam-6602	337	7	18	18	NUM
ejpam-6602	337	8	(	(	PUNCT
ejpam-6602	337	9	3	3	NUM
ejpam-6602	337	10	)	)	PUNCT
ejpam-6602	337	11	(	(	PUNCT
ejpam-6602	337	12	2025	2025	NUM
ejpam-6602	337	13	)	)	PUNCT
ejpam-6602	337	14	,	,	PUNCT
ejpam-6602	337	15	6602	6602	NUM
ejpam-6602	337	16	21	21	NUM
ejpam-6602	337	17	of	of	ADP
ejpam-6602	337	18	37	37	NUM
ejpam-6602	337	19	figure	figure	NOUN
ejpam-6602	337	20	3	3	NUM
ejpam-6602	337	21	:	:	PUNCT
ejpam-6602	337	22	average	average	ADJ
ejpam-6602	337	23	convergence	convergence	NOUN
ejpam-6602	337	24	time	time	NOUN
ejpam-6602	337	25	across	across	ADP
ejpam-6602	337	26	metaheuristics	metaheuristic	NOUN
ejpam-6602	337	27	6.4.3	6.4.3	NUM
ejpam-6602	337	28	.	.	PUNCT
ejpam-6602	338	1	success	success	NOUN
ejpam-6602	338	2	rate	rate	NOUN
ejpam-6602	338	3	the	the	DET
ejpam-6602	338	4	success	success	NOUN
ejpam-6602	338	5	rate	rate	NOUN
ejpam-6602	338	6	,	,	PUNCT
ejpam-6602	338	7	shown	show	VERB
ejpam-6602	338	8	in	in	ADP
ejpam-6602	338	9	figure	figure	NOUN
ejpam-6602	338	10	7	7	NUM
ejpam-6602	338	11	,	,	PUNCT
ejpam-6602	338	12	indicates	indicate	VERB
ejpam-6602	338	13	the	the	DET
ejpam-6602	338	14	percentage	percentage	NOUN
ejpam-6602	338	15	of	of	ADP
ejpam-6602	338	16	runs	run	NOUN
ejpam-6602	338	17	that	that	PRON
ejpam-6602	338	18	achieved	achieve	VERB
ejpam-6602	338	19	nearoptimal	nearoptimal	ADJ
ejpam-6602	338	20	solutions	solution	NOUN
ejpam-6602	338	21	.	.	PUNCT
ejpam-6602	339	1	hmf	hmf	PROPN
ejpam-6602	339	2	had	have	VERB
ejpam-6602	339	3	a	a	DET
ejpam-6602	339	4	success	success	NOUN
ejpam-6602	339	5	rate	rate	NOUN
ejpam-6602	339	6	of	of	ADP
ejpam-6602	339	7	96.8	96.8	NUM
ejpam-6602	339	8	%	%	NOUN
ejpam-6602	339	9	,	,	PUNCT
ejpam-6602	339	10	outperforming	outperforming	NOUN
ejpam-6602	339	11	aco	aco	PROPN
ejpam-6602	339	12	(	(	PUNCT
ejpam-6602	339	13	92.5	92.5	NUM
ejpam-6602	339	14	%	%	NOUN
ejpam-6602	339	15	)	)	PUNCT
ejpam-6602	339	16	,	,	PUNCT
ejpam-6602	339	17	pso	pso	NOUN
ejpam-6602	339	18	(	(	PUNCT
ejpam-6602	339	19	90.1	90.1	NUM
ejpam-6602	339	20	%	%	NOUN
ejpam-6602	339	21	)	)	PUNCT
ejpam-6602	339	22	,	,	PUNCT
ejpam-6602	339	23	and	and	CCONJ
ejpam-6602	339	24	other	other	ADJ
ejpam-6602	339	25	methods	method	NOUN
ejpam-6602	339	26	.	.	PUNCT
ejpam-6602	340	1	k.	k.	PROPN
ejpam-6602	340	2	danach	danach	PROPN
ejpam-6602	340	3	et	et	PROPN
ejpam-6602	340	4	al	al	PROPN
ejpam-6602	340	5	.	.	PUNCT
ejpam-6602	340	6	/	/	SYM
ejpam-6602	340	7	eur	eur	PROPN
ejpam-6602	340	8	.	.	PUNCT
ejpam-6602	341	1	j.	j.	PROPN
ejpam-6602	341	2	pure	pure	PROPN
ejpam-6602	341	3	appl	appl	PROPN
ejpam-6602	341	4	.	.	PROPN
ejpam-6602	341	5	math	math	PROPN
ejpam-6602	341	6	,	,	PUNCT
ejpam-6602	341	7	18	18	NUM
ejpam-6602	341	8	(	(	PUNCT
ejpam-6602	341	9	3	3	NUM
ejpam-6602	341	10	)	)	PUNCT
ejpam-6602	341	11	(	(	PUNCT
ejpam-6602	341	12	2025	2025	NUM
ejpam-6602	341	13	)	)	PUNCT
ejpam-6602	341	14	,	,	PUNCT
ejpam-6602	341	15	6602	6602	NUM
ejpam-6602	341	16	22	22	NUM
ejpam-6602	341	17	of	of	ADP
ejpam-6602	341	18	37	37	NUM
ejpam-6602	341	19	figure	figure	NOUN
ejpam-6602	341	20	4	4	NUM
ejpam-6602	341	21	:	:	PUNCT
ejpam-6602	341	22	convergence	convergence	NOUN
ejpam-6602	341	23	curve	curve	NOUN
ejpam-6602	341	24	on	on	ADP
ejpam-6602	341	25	the	the	DET
ejpam-6602	341	26	vehicle	vehicle	NOUN
ejpam-6602	341	27	routing	routing	NOUN
ejpam-6602	341	28	problem	problem	NOUN
ejpam-6602	341	29	(	(	PUNCT
ejpam-6602	341	30	vrp	vrp	NOUN
ejpam-6602	341	31	)	)	PUNCT
ejpam-6602	341	32	.	.	PUNCT
ejpam-6602	342	1	6.4.4	6.4.4	X
ejpam-6602	342	2	.	.	PUNCT
ejpam-6602	343	1	computational	computational	ADJ
ejpam-6602	343	2	cost	cost	NOUN
ejpam-6602	343	3	hmf	hmf	PROPN
ejpam-6602	343	4	achieves	achieve	VERB
ejpam-6602	343	5	better	well	ADJ
ejpam-6602	343	6	performance	performance	NOUN
ejpam-6602	343	7	with	with	ADP
ejpam-6602	343	8	lower	low	ADJ
ejpam-6602	343	9	computational	computational	ADJ
ejpam-6602	343	10	cost	cost	NOUN
ejpam-6602	343	11	,	,	PUNCT
ejpam-6602	343	12	as	as	SCONJ
ejpam-6602	343	13	illustrated	illustrate	VERB
ejpam-6602	343	14	in	in	ADP
ejpam-6602	343	15	figure	figure	NOUN
ejpam-6602	343	16	8	8	NUM
ejpam-6602	343	17	.	.	PUNCT
ejpam-6602	344	1	the	the	DET
ejpam-6602	344	2	proposed	propose	VERB
ejpam-6602	344	3	approach	approach	NOUN
ejpam-6602	344	4	reduces	reduce	VERB
ejpam-6602	344	5	cpu	cpu	NOUN
ejpam-6602	344	6	execution	execution	NOUN
ejpam-6602	344	7	time	time	NOUN
ejpam-6602	344	8	from	from	ADP
ejpam-6602	344	9	320	320	NUM
ejpam-6602	344	10	seconds	second	NOUN
ejpam-6602	344	11	(	(	PUNCT
ejpam-6602	344	12	ga	ga	NOUN
ejpam-6602	344	13	)	)	PUNCT
ejpam-6602	344	14	to	to	ADP
ejpam-6602	344	15	190	190	NUM
ejpam-6602	344	16	seconds	second	NOUN
ejpam-6602	344	17	,	,	PUNCT
ejpam-6602	344	18	despite	despite	SCONJ
ejpam-6602	344	19	incorporating	incorporate	VERB
ejpam-6602	344	20	reinforcement	reinforcement	NOUN
ejpam-6602	344	21	learning	learning	NOUN
ejpam-6602	344	22	.	.	PUNCT
ejpam-6602	345	1	this	this	PRON
ejpam-6602	345	2	is	be	AUX
ejpam-6602	345	3	mainly	mainly	ADV
ejpam-6602	345	4	attributed	attribute	VERB
ejpam-6602	345	5	to	to	ADP
ejpam-6602	345	6	its	its	PRON
ejpam-6602	345	7	efficient	efficient	ADJ
ejpam-6602	345	8	parallel	parallel	ADJ
ejpam-6602	345	9	execution	execution	NOUN
ejpam-6602	345	10	strategy	strategy	NOUN
ejpam-6602	345	11	and	and	CCONJ
ejpam-6602	345	12	adaptive	adaptive	ADJ
ejpam-6602	345	13	convergence	convergence	NOUN
ejpam-6602	345	14	behavior	behavior	NOUN
ejpam-6602	345	15	.	.	PUNCT
ejpam-6602	346	1	to	to	PART
ejpam-6602	346	2	provide	provide	VERB
ejpam-6602	346	3	further	further	ADJ
ejpam-6602	346	4	insight	insight	NOUN
ejpam-6602	346	5	into	into	ADP
ejpam-6602	346	6	runtime	runtime	NOUN
ejpam-6602	346	7	stability	stability	NOUN
ejpam-6602	346	8	,	,	PUNCT
ejpam-6602	346	9	figure	figure	VERB
ejpam-6602	346	10	9	9	NUM
ejpam-6602	346	11	presents	present	NOUN
ejpam-6602	346	12	the	the	DET
ejpam-6602	346	13	runtime	runtime	NOUN
ejpam-6602	346	14	distribution	distribution	NOUN
ejpam-6602	346	15	across	across	ADP
ejpam-6602	346	16	50	50	NUM
ejpam-6602	346	17	runs	run	NOUN
ejpam-6602	346	18	for	for	ADP
ejpam-6602	346	19	each	each	DET
ejpam-6602	346	20	metaheuristic	metaheuristic	NOUN
ejpam-6602	346	21	.	.	PUNCT
ejpam-6602	347	1	the	the	DET
ejpam-6602	347	2	boxplot	boxplot	NOUN
ejpam-6602	347	3	clearly	clearly	ADV
ejpam-6602	347	4	shows	show	VERB
ejpam-6602	347	5	that	that	SCONJ
ejpam-6602	347	6	hmf	hmf	PROPN
ejpam-6602	347	7	not	not	PART
ejpam-6602	347	8	only	only	ADV
ejpam-6602	347	9	has	have	VERB
ejpam-6602	347	10	the	the	DET
ejpam-6602	347	11	lowest	low	ADJ
ejpam-6602	347	12	median	median	ADJ
ejpam-6602	347	13	runtime	runtime	NOUN
ejpam-6602	347	14	but	but	CCONJ
ejpam-6602	347	15	also	also	ADV
ejpam-6602	347	16	exhibits	exhibit	VERB
ejpam-6602	347	17	the	the	DET
ejpam-6602	347	18	smallest	small	ADJ
ejpam-6602	347	19	variance	variance	NOUN
ejpam-6602	347	20	,	,	PUNCT
ejpam-6602	347	21	confirming	confirm	VERB
ejpam-6602	347	22	its	its	PRON
ejpam-6602	347	23	computational	computational	ADJ
ejpam-6602	347	24	efficiency	efficiency	NOUN
ejpam-6602	347	25	and	and	CCONJ
ejpam-6602	347	26	robustness	robustness	NOUN
ejpam-6602	347	27	across	across	ADP
ejpam-6602	347	28	independent	independent	ADJ
ejpam-6602	347	29	executions	execution	NOUN
ejpam-6602	347	30	.	.	PUNCT
ejpam-6602	348	1	6.5	6.5	NUM
ejpam-6602	348	2	.	.	PUNCT
ejpam-6602	348	3	ablation	ablation	NOUN
ejpam-6602	348	4	and	and	CCONJ
ejpam-6602	348	5	robustness	robustness	NOUN
ejpam-6602	348	6	analysis	analysis	NOUN
ejpam-6602	348	7	to	to	PART
ejpam-6602	348	8	assess	assess	VERB
ejpam-6602	348	9	the	the	DET
ejpam-6602	348	10	robustness	robustness	NOUN
ejpam-6602	348	11	of	of	ADP
ejpam-6602	348	12	the	the	DET
ejpam-6602	348	13	proposed	propose	VERB
ejpam-6602	348	14	hmf	hmf	PROPN
ejpam-6602	348	15	,	,	PUNCT
ejpam-6602	348	16	we	we	PRON
ejpam-6602	348	17	performed	perform	VERB
ejpam-6602	348	18	an	an	DET
ejpam-6602	348	19	ablation	ablation	NOUN
ejpam-6602	348	20	study	study	NOUN
ejpam-6602	348	21	focusing	focus	VERB
ejpam-6602	348	22	on	on	ADP
ejpam-6602	348	23	the	the	DET
ejpam-6602	348	24	reinforcement	reinforcement	NOUN
ejpam-6602	348	25	learning	learning	NOUN
ejpam-6602	348	26	controller	controller	NOUN
ejpam-6602	348	27	.	.	PUNCT
ejpam-6602	349	1	specifically	specifically	ADV
ejpam-6602	349	2	,	,	PUNCT
ejpam-6602	349	3	we	we	PRON
ejpam-6602	349	4	evaluated	evaluate	VERB
ejpam-6602	349	5	the	the	DET
ejpam-6602	349	6	impact	impact	NOUN
ejpam-6602	349	7	of	of	ADP
ejpam-6602	349	8	:	:	PUNCT
ejpam-6602	349	9	•	•	NUM
ejpam-6602	349	10	a1	a1	NOUN
ejpam-6602	349	11	:	:	PUNCT
ejpam-6602	349	12	removing	remove	VERB
ejpam-6602	349	13	the	the	DET
ejpam-6602	349	14	solution	solution	NOUN
ejpam-6602	349	15	diversity	diversity	NOUN
ejpam-6602	349	16	feature	feature	NOUN
ejpam-6602	349	17	from	from	ADP
ejpam-6602	349	18	the	the	DET
ejpam-6602	349	19	rl	rl	PROPN
ejpam-6602	349	20	state	state	PROPN
ejpam-6602	349	21	vector	vector	PROPN
ejpam-6602	349	22	.	.	PROPN
ejpam-6602	349	23	•	•	NUM
ejpam-6602	349	24	a2	a2	PROPN
ejpam-6602	349	25	:	:	PUNCT
ejpam-6602	349	26	removing	remove	VERB
ejpam-6602	349	27	the	the	DET
ejpam-6602	349	28	convergence	convergence	NOUN
ejpam-6602	349	29	rate	rate	NOUN
ejpam-6602	349	30	feature	feature	NOUN
ejpam-6602	349	31	.	.	PUNCT
ejpam-6602	350	1	•	•	NUM
ejpam-6602	350	2	a3	a3	NOUN
ejpam-6602	350	3	:	:	PUNCT
ejpam-6602	350	4	modifying	modify	VERB
ejpam-6602	350	5	the	the	DET
ejpam-6602	350	6	reward	reward	NOUN
ejpam-6602	350	7	function	function	NOUN
ejpam-6602	350	8	by	by	ADP
ejpam-6602	350	9	reducing	reduce	VERB
ejpam-6602	350	10	the	the	DET
ejpam-6602	350	11	exploration	exploration	NOUN
ejpam-6602	350	12	bonus	bonus	NOUN
ejpam-6602	350	13	coefficient	coefficient	NOUN
ejpam-6602	350	14	λ	λ	PROPN
ejpam-6602	350	15	from	from	ADP
ejpam-6602	350	16	0.3	0.3	NUM
ejpam-6602	350	17	to	to	PART
ejpam-6602	350	18	0.05	0.05	NUM
ejpam-6602	350	19	.	.	PUNCT
ejpam-6602	351	1	k.	k.	PROPN
ejpam-6602	351	2	danach	danach	PROPN
ejpam-6602	351	3	et	et	PROPN
ejpam-6602	351	4	al	al	PROPN
ejpam-6602	351	5	.	.	PUNCT
ejpam-6602	351	6	/	/	SYM
ejpam-6602	351	7	eur	eur	PROPN
ejpam-6602	351	8	.	.	PUNCT
ejpam-6602	352	1	j.	j.	PROPN
ejpam-6602	352	2	pure	pure	PROPN
ejpam-6602	352	3	appl	appl	PROPN
ejpam-6602	352	4	.	.	PROPN
ejpam-6602	352	5	math	math	PROPN
ejpam-6602	352	6	,	,	PUNCT
ejpam-6602	352	7	18	18	NUM
ejpam-6602	352	8	(	(	PUNCT
ejpam-6602	352	9	3	3	NUM
ejpam-6602	352	10	)	)	PUNCT
ejpam-6602	352	11	(	(	PUNCT
ejpam-6602	352	12	2025	2025	NUM
ejpam-6602	352	13	)	)	PUNCT
ejpam-6602	352	14	,	,	PUNCT
ejpam-6602	352	15	6602	6602	NUM
ejpam-6602	352	16	23	23	NUM
ejpam-6602	352	17	of	of	ADP
ejpam-6602	352	18	37	37	NUM
ejpam-6602	352	19	figure	figure	NOUN
ejpam-6602	352	20	5	5	NUM
ejpam-6602	352	21	:	:	PUNCT
ejpam-6602	352	22	convergence	convergence	NOUN
ejpam-6602	352	23	curve	curve	NOUN
ejpam-6602	352	24	on	on	ADP
ejpam-6602	352	25	the	the	DET
ejpam-6602	352	26	facility	facility	NOUN
ejpam-6602	352	27	location	location	NOUN
ejpam-6602	352	28	problem	problem	NOUN
ejpam-6602	352	29	(	(	PUNCT
ejpam-6602	352	30	flp	flp	PROPN
ejpam-6602	352	31	)	)	PUNCT
ejpam-6602	352	32	.	.	PUNCT
ejpam-6602	353	1	the	the	DET
ejpam-6602	353	2	ablation	ablation	NOUN
ejpam-6602	353	3	results	result	NOUN
ejpam-6602	353	4	are	be	AUX
ejpam-6602	353	5	summarized	summarize	VERB
ejpam-6602	353	6	in	in	ADP
ejpam-6602	353	7	table	table	NOUN
ejpam-6602	353	8	2	2	NUM
ejpam-6602	353	9	.	.	PUNCT
ejpam-6602	354	1	each	each	DET
ejpam-6602	354	2	configuration	configuration	NOUN
ejpam-6602	354	3	was	be	AUX
ejpam-6602	354	4	evaluated	evaluate	VERB
ejpam-6602	354	5	over	over	ADP
ejpam-6602	354	6	50	50	NUM
ejpam-6602	354	7	independent	independent	ADJ
ejpam-6602	354	8	runs	run	NOUN
ejpam-6602	354	9	on	on	ADP
ejpam-6602	354	10	the	the	DET
ejpam-6602	354	11	vrp	vrp	PROPN
ejpam-6602	354	12	-	-	PUNCT
ejpam-6602	354	13	c101	c101	PROPN
ejpam-6602	354	14	instance	instance	NOUN
ejpam-6602	354	15	.	.	PUNCT
ejpam-6602	355	1	table	table	NOUN
ejpam-6602	355	2	2	2	NUM
ejpam-6602	355	3	:	:	PUNCT
ejpam-6602	355	4	ablation	ablation	NOUN
ejpam-6602	355	5	study	study	NOUN
ejpam-6602	355	6	:	:	PUNCT
ejpam-6602	355	7	success	success	NOUN
ejpam-6602	355	8	rate	rate	NOUN
ejpam-6602	355	9	and	and	CCONJ
ejpam-6602	355	10	best	good	ADJ
ejpam-6602	355	11	objective	objective	NOUN
ejpam-6602	355	12	across	across	ADP
ejpam-6602	355	13	configurations	configuration	NOUN
ejpam-6602	355	14	(	(	PUNCT
ejpam-6602	355	15	vrp	vrp	PROPN
ejpam-6602	355	16	-	-	PUNCT
ejpam-6602	355	17	c101	c101	PROPN
ejpam-6602	355	18	)	)	PUNCT
ejpam-6602	355	19	configuration	configuration	NOUN
ejpam-6602	355	20	success	success	NOUN
ejpam-6602	355	21	rate	rate	NOUN
ejpam-6602	355	22	(	(	PUNCT
ejpam-6602	355	23	%	%	INTJ
ejpam-6602	355	24	)	)	PUNCT
ejpam-6602	355	25	best	good	ADJ
ejpam-6602	355	26	objective	objective	ADJ
ejpam-6602	355	27	value	value	NOUN
ejpam-6602	355	28	(	(	PUNCT
ejpam-6602	355	29	mean	mean	PROPN
ejpam-6602	355	30	±	±	NUM
ejpam-6602	355	31	ci	ci	PROPN
ejpam-6602	355	32	)	)	PUNCT
ejpam-6602	355	33	baseline	baseline	PROPN
ejpam-6602	355	34	hmf	hmf	PROPN
ejpam-6602	355	35	96.8	96.8	NUM
ejpam-6602	355	36	398.2	398.2	NUM
ejpam-6602	355	37	±	±	NUM
ejpam-6602	355	38	2.1	2.1	NUM
ejpam-6602	355	39	a1	a1	NOUN
ejpam-6602	355	40	:	:	PUNCT
ejpam-6602	355	41	no	no	DET
ejpam-6602	355	42	diversity	diversity	NOUN
ejpam-6602	355	43	92.4	92.4	NUM
ejpam-6602	355	44	402.3	402.3	NUM
ejpam-6602	355	45	±	±	NUM
ejpam-6602	355	46	2.7	2.7	NUM
ejpam-6602	355	47	a2	a2	NOUN
ejpam-6602	355	48	:	:	PUNCT
ejpam-6602	355	49	no	no	DET
ejpam-6602	355	50	convergence	convergence	NOUN
ejpam-6602	355	51	rate	rate	NOUN
ejpam-6602	355	52	91.2	91.2	NUM
ejpam-6602	355	53	405.0	405.0	NUM
ejpam-6602	355	54	±	±	NUM
ejpam-6602	355	55	2.5	2.5	NUM
ejpam-6602	355	56	a3	a3	NOUN
ejpam-6602	355	57	:	:	PUNCT
ejpam-6602	355	58	low	low	ADJ
ejpam-6602	355	59	exploration	exploration	NOUN
ejpam-6602	355	60	bonus	bonus	NOUN
ejpam-6602	355	61	89.6	89.6	NUM
ejpam-6602	355	62	409.1	409.1	NUM
ejpam-6602	355	63	±	±	NUM
ejpam-6602	355	64	3.1	3.1	NUM
ejpam-6602	355	65	the	the	DET
ejpam-6602	355	66	results	result	NOUN
ejpam-6602	355	67	show	show	VERB
ejpam-6602	355	68	that	that	SCONJ
ejpam-6602	355	69	while	while	SCONJ
ejpam-6602	355	70	the	the	DET
ejpam-6602	355	71	removal	removal	NOUN
ejpam-6602	355	72	or	or	CCONJ
ejpam-6602	355	73	reduction	reduction	NOUN
ejpam-6602	355	74	of	of	ADP
ejpam-6602	355	75	individual	individual	ADJ
ejpam-6602	355	76	features	feature	NOUN
ejpam-6602	355	77	impacts	impact	NOUN
ejpam-6602	355	78	performance	performance	NOUN
ejpam-6602	355	79	moderately	moderately	ADV
ejpam-6602	355	80	,	,	PUNCT
ejpam-6602	355	81	the	the	DET
ejpam-6602	355	82	framework	framework	NOUN
ejpam-6602	355	83	continues	continue	VERB
ejpam-6602	355	84	to	to	PART
ejpam-6602	355	85	outperform	outperform	VERB
ejpam-6602	355	86	traditional	traditional	ADJ
ejpam-6602	355	87	metaheuristics	metaheuristic	NOUN
ejpam-6602	355	88	(	(	PUNCT
ejpam-6602	355	89	as	as	SCONJ
ejpam-6602	355	90	shown	show	VERB
ejpam-6602	355	91	in	in	ADP
ejpam-6602	355	92	table	table	NOUN
ejpam-6602	355	93	2	2	NUM
ejpam-6602	355	94	)	)	PUNCT
ejpam-6602	355	95	,	,	PUNCT
ejpam-6602	355	96	confirming	confirm	VERB
ejpam-6602	355	97	robustness	robustness	NOUN
ejpam-6602	355	98	.	.	PUNCT
ejpam-6602	356	1	the	the	DET
ejpam-6602	356	2	95	95	NUM
ejpam-6602	356	3	%	%	NOUN
ejpam-6602	356	4	confidence	confidence	NOUN
ejpam-6602	356	5	intervals	interval	NOUN
ejpam-6602	356	6	are	be	AUX
ejpam-6602	356	7	computed	compute	VERB
ejpam-6602	356	8	using	use	VERB
ejpam-6602	356	9	bootstrapping	bootstrappe	VERB
ejpam-6602	356	10	.	.	PUNCT
ejpam-6602	357	1	6.6	6.6	NUM
ejpam-6602	357	2	.	.	PUNCT
ejpam-6602	358	1	statistical	statistical	ADJ
ejpam-6602	358	2	analysis	analysis	NOUN
ejpam-6602	358	3	to	to	PART
ejpam-6602	358	4	validate	validate	VERB
ejpam-6602	358	5	the	the	DET
ejpam-6602	358	6	statistical	statistical	ADJ
ejpam-6602	358	7	significance	significance	NOUN
ejpam-6602	358	8	of	of	ADP
ejpam-6602	358	9	the	the	DET
ejpam-6602	358	10	observed	observe	VERB
ejpam-6602	358	11	performance	performance	NOUN
ejpam-6602	358	12	differences	difference	NOUN
ejpam-6602	358	13	,	,	PUNCT
ejpam-6602	358	14	we	we	PRON
ejpam-6602	358	15	conducted	conduct	VERB
ejpam-6602	358	16	wilcoxon	wilcoxon	ADJ
ejpam-6602	358	17	signed	sign	VERB
ejpam-6602	358	18	-	-	PUNCT
ejpam-6602	358	19	rank	rank	NOUN
ejpam-6602	358	20	tests	test	NOUN
ejpam-6602	358	21	comparing	compare	VERB
ejpam-6602	358	22	hmf	hmf	NOUN
ejpam-6602	358	23	to	to	ADP
ejpam-6602	358	24	each	each	DET
ejpam-6602	358	25	baseline	baseline	ADJ
ejpam-6602	358	26	algorithm	algorithm	NOUN
ejpam-6602	358	27	.	.	PUNCT
ejpam-6602	359	1	as	as	SCONJ
ejpam-6602	359	2	shown	show	VERB
ejpam-6602	359	3	in	in	ADP
ejpam-6602	359	4	table	table	NOUN
ejpam-6602	359	5	3	3	NUM
ejpam-6602	359	6	,	,	PUNCT
ejpam-6602	359	7	all	all	DET
ejpam-6602	359	8	p	p	NOUN
ejpam-6602	359	9	-	-	PUNCT
ejpam-6602	359	10	values	value	NOUN
ejpam-6602	359	11	are	be	AUX
ejpam-6602	359	12	below	below	ADP
ejpam-6602	359	13	the	the	DET
ejpam-6602	359	14	standard	standard	ADJ
ejpam-6602	359	15	threshold	threshold	NOUN
ejpam-6602	359	16	of	of	ADP
ejpam-6602	359	17	0.05	0.05	NUM
ejpam-6602	359	18	,	,	PUNCT
ejpam-6602	359	19	confirming	confirm	VERB
ejpam-6602	359	20	that	that	SCONJ
ejpam-6602	359	21	the	the	DET
ejpam-6602	359	22	improvements	improvement	NOUN
ejpam-6602	359	23	achieved	achieve	VERB
ejpam-6602	359	24	by	by	ADP
ejpam-6602	359	25	hmf	hmf	PROPN
ejpam-6602	359	26	are	be	AUX
ejpam-6602	359	27	statistically	statistically	ADV
ejpam-6602	359	28	significant	significant	ADJ
ejpam-6602	359	29	.	.	PUNCT
ejpam-6602	360	1	moreover	moreover	ADV
ejpam-6602	360	2	,	,	PUNCT
ejpam-6602	360	3	the	the	DET
ejpam-6602	360	4	reported	reported	ADJ
ejpam-6602	360	5	z	z	NOUN
ejpam-6602	360	6	-	-	PUNCT
ejpam-6602	360	7	values	value	NOUN
ejpam-6602	360	8	k.	k.	PROPN
ejpam-6602	360	9	danach	danach	PROPN
ejpam-6602	360	10	et	et	PROPN
ejpam-6602	360	11	al	al	PROPN
ejpam-6602	360	12	.	.	PUNCT
ejpam-6602	360	13	/	/	SYM
ejpam-6602	360	14	eur	eur	PROPN
ejpam-6602	360	15	.	.	PUNCT
ejpam-6602	361	1	j.	j.	PROPN
ejpam-6602	361	2	pure	pure	PROPN
ejpam-6602	361	3	appl	appl	PROPN
ejpam-6602	361	4	.	.	PROPN
ejpam-6602	361	5	math	math	PROPN
ejpam-6602	361	6	,	,	PUNCT
ejpam-6602	361	7	18	18	NUM
ejpam-6602	361	8	(	(	PUNCT
ejpam-6602	361	9	3	3	NUM
ejpam-6602	361	10	)	)	PUNCT
ejpam-6602	361	11	(	(	PUNCT
ejpam-6602	361	12	2025	2025	NUM
ejpam-6602	361	13	)	)	PUNCT
ejpam-6602	361	14	,	,	PUNCT
ejpam-6602	361	15	6602	6602	NUM
ejpam-6602	361	16	24	24	NUM
ejpam-6602	361	17	of	of	ADP
ejpam-6602	361	18	37	37	NUM
ejpam-6602	361	19	figure	figure	NOUN
ejpam-6602	361	20	6	6	NUM
ejpam-6602	361	21	:	:	PUNCT
ejpam-6602	361	22	convergence	convergence	NOUN
ejpam-6602	361	23	curve	curve	NOUN
ejpam-6602	361	24	on	on	ADP
ejpam-6602	361	25	the	the	DET
ejpam-6602	361	26	job	job	NOUN
ejpam-6602	361	27	scheduling	scheduling	NOUN
ejpam-6602	361	28	problem	problem	NOUN
ejpam-6602	361	29	(	(	PUNCT
ejpam-6602	361	30	jsp	jsp	PROPN
ejpam-6602	361	31	)	)	PUNCT
ejpam-6602	361	32	.	.	PUNCT
ejpam-6602	362	1	and	and	CCONJ
ejpam-6602	362	2	effect	effect	VERB
ejpam-6602	362	3	sizes	size	NOUN
ejpam-6602	362	4	(	(	PUNCT
ejpam-6602	362	5	cliff	cliff	PROPN
ejpam-6602	362	6	’s	’s	PART
ejpam-6602	362	7	delta	delta	NOUN
ejpam-6602	362	8	)	)	PUNCT
ejpam-6602	362	9	indicate	indicate	VERB
ejpam-6602	362	10	medium	medium	ADJ
ejpam-6602	362	11	to	to	ADP
ejpam-6602	362	12	large	large	ADJ
ejpam-6602	362	13	effects	effect	NOUN
ejpam-6602	362	14	across	across	ADP
ejpam-6602	362	15	all	all	DET
ejpam-6602	362	16	comparisons	comparison	NOUN
ejpam-6602	362	17	,	,	PUNCT
ejpam-6602	362	18	reinforcing	reinforce	VERB
ejpam-6602	362	19	the	the	DET
ejpam-6602	362	20	strength	strength	NOUN
ejpam-6602	362	21	and	and	CCONJ
ejpam-6602	362	22	consistency	consistency	NOUN
ejpam-6602	362	23	of	of	ADP
ejpam-6602	362	24	hmf	hmf	PROPN
ejpam-6602	362	25	’s	’s	PART
ejpam-6602	362	26	superiority	superiority	NOUN
ejpam-6602	362	27	.	.	PUNCT
ejpam-6602	363	1	these	these	DET
ejpam-6602	363	2	results	result	NOUN
ejpam-6602	363	3	confirm	confirm	VERB
ejpam-6602	363	4	that	that	SCONJ
ejpam-6602	363	5	the	the	DET
ejpam-6602	363	6	performance	performance	NOUN
ejpam-6602	363	7	gains	gain	NOUN
ejpam-6602	363	8	are	be	AUX
ejpam-6602	363	9	not	not	PART
ejpam-6602	363	10	due	due	ADJ
ejpam-6602	363	11	to	to	ADP
ejpam-6602	363	12	random	random	ADJ
ejpam-6602	363	13	variation	variation	NOUN
ejpam-6602	363	14	but	but	CCONJ
ejpam-6602	363	15	are	be	AUX
ejpam-6602	363	16	a	a	DET
ejpam-6602	363	17	direct	direct	ADJ
ejpam-6602	363	18	result	result	NOUN
ejpam-6602	363	19	of	of	ADP
ejpam-6602	363	20	the	the	DET
ejpam-6602	363	21	adaptive	adaptive	ADJ
ejpam-6602	363	22	mechanisms	mechanism	NOUN
ejpam-6602	363	23	and	and	CCONJ
ejpam-6602	363	24	design	design	NOUN
ejpam-6602	363	25	of	of	ADP
ejpam-6602	363	26	the	the	DET
ejpam-6602	363	27	proposed	propose	VERB
ejpam-6602	363	28	framework	framework	NOUN
ejpam-6602	363	29	.	.	PUNCT
ejpam-6602	364	1	table	table	NOUN
ejpam-6602	364	2	3	3	NUM
ejpam-6602	364	3	:	:	PUNCT
ejpam-6602	364	4	statistical	statistical	ADJ
ejpam-6602	364	5	significance	significance	NOUN
ejpam-6602	364	6	test	test	NOUN
ejpam-6602	364	7	:	:	PUNCT
ejpam-6602	364	8	hmf	hmf	PROPN
ejpam-6602	364	9	vs.	vs.	ADP
ejpam-6602	364	10	baselines	baseline	NOUN
ejpam-6602	364	11	(	(	PUNCT
ejpam-6602	364	12	wilcoxon	wilcoxon	VERB
ejpam-6602	364	13	signed	sign	VERB
ejpam-6602	364	14	-	-	PUNCT
ejpam-6602	364	15	rank	rank	NOUN
ejpam-6602	364	16	test	test	NOUN
ejpam-6602	364	17	)	)	PUNCT
ejpam-6602	364	18	comparison	comparison	NOUN
ejpam-6602	364	19	p	p	NOUN
ejpam-6602	364	20	-	-	PUNCT
ejpam-6602	364	21	value	value	NOUN
ejpam-6602	364	22	z	z	NOUN
ejpam-6602	364	23	-	-	PUNCT
ejpam-6602	364	24	value	value	NOUN
ejpam-6602	364	25	cliff	cliff	NOUN
ejpam-6602	364	26	’s	’s	PART
ejpam-6602	364	27	delta	delta	NOUN
ejpam-6602	364	28	(	(	PUNCT
ejpam-6602	364	29	δ	δ	NOUN
ejpam-6602	364	30	)	)	PUNCT
ejpam-6602	364	31	significant	significant	ADJ
ejpam-6602	364	32	?	?	PUNCT
ejpam-6602	365	1	hmf	hmf	PROPN
ejpam-6602	366	1	vs	vs	ADP
ejpam-6602	366	2	ga	ga	PROPN
ejpam-6602	366	3	0.001	0.001	NUM
ejpam-6602	366	4	-3.42	-3.42	NUM
ejpam-6602	366	5	0.82	0.82	NUM
ejpam-6602	366	6	(	(	PUNCT
ejpam-6602	366	7	large	large	ADJ
ejpam-6602	366	8	)	)	PUNCT
ejpam-6602	366	9	yes	yes	INTJ
ejpam-6602	366	10	hmf	hmf	PROPN
ejpam-6602	366	11	vs	vs	ADP
ejpam-6602	366	12	sa	sa	PROPN
ejpam-6602	366	13	0.003	0.003	NUM
ejpam-6602	366	14	-3.01	-3.01	NUM
ejpam-6602	366	15	0.75	0.75	NUM
ejpam-6602	366	16	(	(	PUNCT
ejpam-6602	366	17	large	large	ADJ
ejpam-6602	366	18	)	)	PUNCT
ejpam-6602	366	19	yes	yes	INTJ
ejpam-6602	366	20	hmf	hmf	NOUN
ejpam-6602	366	21	vs	vs	ADP
ejpam-6602	366	22	pso	pso	PROPN
ejpam-6602	366	23	0.007	0.007	NUM
ejpam-6602	366	24	-2.68	-2.68	NUM
ejpam-6602	366	25	0.67	0.67	NUM
ejpam-6602	366	26	(	(	PUNCT
ejpam-6602	366	27	medium	medium	NOUN
ejpam-6602	366	28	-	-	PUNCT
ejpam-6602	366	29	high	high	ADJ
ejpam-6602	366	30	)	)	PUNCT
ejpam-6602	367	1	yes	yes	INTJ
ejpam-6602	367	2	hmf	hmf	PROPN
ejpam-6602	367	3	vs	vs	ADP
ejpam-6602	367	4	aco	aco	PROPN
ejpam-6602	367	5	0.012	0.012	NUM
ejpam-6602	367	6	-2.52	-2.52	NUM
ejpam-6602	367	7	0.59	0.59	NUM
ejpam-6602	367	8	(	(	PUNCT
ejpam-6602	367	9	medium	medium	NOUN
ejpam-6602	367	10	)	)	PUNCT
ejpam-6602	367	11	yes	yes	INTJ
ejpam-6602	367	12	since	since	SCONJ
ejpam-6602	367	13	all	all	DET
ejpam-6602	367	14	p	p	NOUN
ejpam-6602	367	15	-	-	PUNCT
ejpam-6602	367	16	values	value	NOUN
ejpam-6602	367	17	are	be	AUX
ejpam-6602	367	18	below	below	ADP
ejpam-6602	367	19	0.05	0.05	NUM
ejpam-6602	367	20	,	,	PUNCT
ejpam-6602	367	21	we	we	PRON
ejpam-6602	367	22	conclude	conclude	VERB
ejpam-6602	367	23	that	that	SCONJ
ejpam-6602	367	24	the	the	DET
ejpam-6602	367	25	proposed	propose	VERB
ejpam-6602	367	26	hmf	hmf	PROPN
ejpam-6602	367	27	provides	provide	VERB
ejpam-6602	367	28	statistically	statistically	ADV
ejpam-6602	367	29	significant	significant	ADJ
ejpam-6602	367	30	improvements	improvement	NOUN
ejpam-6602	367	31	over	over	ADP
ejpam-6602	367	32	traditional	traditional	ADJ
ejpam-6602	367	33	metaheuristics	metaheuristic	NOUN
ejpam-6602	367	34	.	.	PUNCT
ejpam-6602	368	1	although	although	SCONJ
ejpam-6602	368	2	the	the	DET
ejpam-6602	368	3	scalability	scalability	NOUN
ejpam-6602	368	4	experiments	experiment	NOUN
ejpam-6602	368	5	were	be	AUX
ejpam-6602	368	6	conducted	conduct	VERB
ejpam-6602	368	7	using	use	VERB
ejpam-6602	368	8	the	the	DET
ejpam-6602	368	9	vrp	vrp	NOUN
ejpam-6602	368	10	benchmark	benchmark	NOUN
ejpam-6602	368	11	due	due	ADP
ejpam-6602	368	12	to	to	ADP
ejpam-6602	368	13	its	its	PRON
ejpam-6602	368	14	complexity	complexity	NOUN
ejpam-6602	368	15	and	and	CCONJ
ejpam-6602	368	16	variable	variable	ADJ
ejpam-6602	368	17	size	size	NOUN
ejpam-6602	368	18	structure	structure	NOUN
ejpam-6602	368	19	,	,	PUNCT
ejpam-6602	368	20	the	the	DET
ejpam-6602	368	21	proposed	propose	VERB
ejpam-6602	368	22	hmf	hmf	PROPN
ejpam-6602	368	23	framework	framework	NOUN
ejpam-6602	368	24	is	be	AUX
ejpam-6602	368	25	inherently	inherently	ADV
ejpam-6602	368	26	modular	modular	ADJ
ejpam-6602	368	27	and	and	CCONJ
ejpam-6602	368	28	generalizable	generalizable	ADJ
ejpam-6602	368	29	.	.	PUNCT
ejpam-6602	369	1	for	for	ADP
ejpam-6602	369	2	other	other	ADJ
ejpam-6602	369	3	combinatorial	combinatorial	ADJ
ejpam-6602	369	4	problems	problem	NOUN
ejpam-6602	369	5	like	like	ADP
ejpam-6602	369	6	the	the	DET
ejpam-6602	369	7	facility	facility	NOUN
ejpam-6602	369	8	location	location	NOUN
ejpam-6602	369	9	problem	problem	NOUN
ejpam-6602	369	10	(	(	PUNCT
ejpam-6602	369	11	flp	flp	NOUN
ejpam-6602	369	12	)	)	PUNCT
ejpam-6602	369	13	and	and	CCONJ
ejpam-6602	369	14	job	job	NOUN
ejpam-6602	369	15	scheduling	scheduling	NOUN
ejpam-6602	369	16	problem	problem	NOUN
ejpam-6602	369	17	(	(	PUNCT
ejpam-6602	369	18	jsp	jsp	PROPN
ejpam-6602	369	19	)	)	PUNCT
ejpam-6602	369	20	,	,	PUNCT
ejpam-6602	369	21	the	the	DET
ejpam-6602	369	22	scalability	scalability	NOUN
ejpam-6602	369	23	mechanism	mechanism	NOUN
ejpam-6602	369	24	remains	remain	VERB
ejpam-6602	369	25	the	the	DET
ejpam-6602	369	26	same	same	ADJ
ejpam-6602	369	27	—	—	PUNCT
ejpam-6602	369	28	problem	problem	NOUN
ejpam-6602	369	29	-	-	PUNCT
ejpam-6602	369	30	specific	specific	ADJ
ejpam-6602	369	31	encodings	encoding	NOUN
ejpam-6602	369	32	are	be	AUX
ejpam-6602	369	33	adapted	adapt	VERB
ejpam-6602	369	34	in	in	ADP
ejpam-6602	369	35	the	the	DET
ejpam-6602	369	36	metaheuristic	metaheuristic	ADJ
ejpam-6602	369	37	modules	module	NOUN
ejpam-6602	369	38	,	,	PUNCT
ejpam-6602	369	39	while	while	SCONJ
ejpam-6602	369	40	the	the	DET
ejpam-6602	369	41	reinforcement	reinforcement	NOUN
ejpam-6602	369	42	learning	learn	VERB
ejpam-6602	369	43	agent	agent	NOUN
ejpam-6602	369	44	operates	operate	VERB
ejpam-6602	369	45	on	on	ADP
ejpam-6602	369	46	abstract	abstract	ADJ
ejpam-6602	369	47	performance	performance	NOUN
ejpam-6602	369	48	metrics	metric	NOUN
ejpam-6602	369	49	such	such	ADJ
ejpam-6602	369	50	as	as	ADP
ejpam-6602	369	51	improvek	improvek	ADJ
ejpam-6602	369	52	.	.	PUNCT
ejpam-6602	370	1	danach	danach	PROPN
ejpam-6602	370	2	et	et	PROPN
ejpam-6602	370	3	al	al	PROPN
ejpam-6602	370	4	.	.	PUNCT
ejpam-6602	370	5	/	/	SYM
ejpam-6602	370	6	eur	eur	PROPN
ejpam-6602	370	7	.	.	PUNCT
ejpam-6602	371	1	j.	j.	PROPN
ejpam-6602	371	2	pure	pure	PROPN
ejpam-6602	371	3	appl	appl	PROPN
ejpam-6602	371	4	.	.	PROPN
ejpam-6602	371	5	math	math	PROPN
ejpam-6602	371	6	,	,	PUNCT
ejpam-6602	371	7	18	18	NUM
ejpam-6602	371	8	(	(	PUNCT
ejpam-6602	371	9	3	3	NUM
ejpam-6602	371	10	)	)	PUNCT
ejpam-6602	371	11	(	(	PUNCT
ejpam-6602	371	12	2025	2025	NUM
ejpam-6602	371	13	)	)	PUNCT
ejpam-6602	371	14	,	,	PUNCT
ejpam-6602	371	15	6602	6602	NUM
ejpam-6602	371	16	25	25	NUM
ejpam-6602	371	17	of	of	ADP
ejpam-6602	371	18	37	37	NUM
ejpam-6602	371	19	figure	figure	NOUN
ejpam-6602	371	20	7	7	NUM
ejpam-6602	371	21	:	:	PUNCT
ejpam-6602	371	22	success	success	NOUN
ejpam-6602	371	23	rate	rate	NOUN
ejpam-6602	371	24	comparison	comparison	NOUN
ejpam-6602	371	25	of	of	ADP
ejpam-6602	371	26	metaheuristics	metaheuristic	NOUN
ejpam-6602	371	27	ment	ment	ADJ
ejpam-6602	371	28	rate	rate	NOUN
ejpam-6602	371	29	and	and	CCONJ
ejpam-6602	371	30	population	population	NOUN
ejpam-6602	371	31	diversity	diversity	NOUN
ejpam-6602	371	32	.	.	PUNCT
ejpam-6602	372	1	since	since	SCONJ
ejpam-6602	372	2	the	the	DET
ejpam-6602	372	3	rl	rl	NOUN
ejpam-6602	372	4	controller	controller	NOUN
ejpam-6602	372	5	is	be	AUX
ejpam-6602	372	6	decoupled	decouple	VERB
ejpam-6602	372	7	from	from	ADP
ejpam-6602	372	8	domainspecific	domainspecific	ADJ
ejpam-6602	372	9	variables	variable	NOUN
ejpam-6602	372	10	,	,	PUNCT
ejpam-6602	372	11	it	it	PRON
ejpam-6602	372	12	can	can	AUX
ejpam-6602	372	13	learn	learn	VERB
ejpam-6602	372	14	effective	effective	ADJ
ejpam-6602	372	15	policies	policy	NOUN
ejpam-6602	372	16	across	across	ADP
ejpam-6602	372	17	problem	problem	NOUN
ejpam-6602	372	18	types	type	NOUN
ejpam-6602	372	19	without	without	ADP
ejpam-6602	372	20	retraining	retrain	VERB
ejpam-6602	372	21	from	from	ADP
ejpam-6602	372	22	scratch	scratch	NOUN
ejpam-6602	372	23	.	.	PUNCT
ejpam-6602	373	1	this	this	DET
ejpam-6602	373	2	generalization	generalization	NOUN
ejpam-6602	373	3	is	be	AUX
ejpam-6602	373	4	further	far	ADV
ejpam-6602	373	5	supported	support	VERB
ejpam-6602	373	6	by	by	ADP
ejpam-6602	373	7	our	our	PRON
ejpam-6602	373	8	experimental	experimental	ADJ
ejpam-6602	373	9	results	result	NOUN
ejpam-6602	373	10	in	in	ADP
ejpam-6602	373	11	section	section	NOUN
ejpam-6602	373	12	7.3	7.3	NUM
ejpam-6602	373	13	,	,	PUNCT
ejpam-6602	373	14	where	where	SCONJ
ejpam-6602	373	15	hmf	hmf	PROPN
ejpam-6602	373	16	achieved	achieve	VERB
ejpam-6602	373	17	superior	superior	ADJ
ejpam-6602	373	18	performance	performance	NOUN
ejpam-6602	373	19	on	on	ADP
ejpam-6602	373	20	flp	flp	PROPN
ejpam-6602	373	21	and	and	CCONJ
ejpam-6602	373	22	jsp	jsp	PROPN
ejpam-6602	373	23	despite	despite	SCONJ
ejpam-6602	373	24	only	only	ADV
ejpam-6602	373	25	tuning	tune	VERB
ejpam-6602	373	26	parameters	parameter	NOUN
ejpam-6602	373	27	once	once	ADV
ejpam-6602	373	28	.	.	PUNCT
ejpam-6602	374	1	future	future	ADJ
ejpam-6602	374	2	scalability	scalability	NOUN
ejpam-6602	374	3	experiments	experiment	NOUN
ejpam-6602	374	4	on	on	ADP
ejpam-6602	374	5	those	those	DET
ejpam-6602	374	6	problems	problem	NOUN
ejpam-6602	374	7	will	will	AUX
ejpam-6602	374	8	be	be	AUX
ejpam-6602	374	9	included	include	VERB
ejpam-6602	374	10	in	in	ADP
ejpam-6602	374	11	extended	extended	ADJ
ejpam-6602	374	12	studies	study	NOUN
ejpam-6602	374	13	.	.	PUNCT
ejpam-6602	375	1	6.7	6.7	NUM
ejpam-6602	375	2	.	.	PUNCT
ejpam-6602	376	1	scalability	scalability	NOUN
ejpam-6602	376	2	analysis	analysis	NOUN
ejpam-6602	376	3	to	to	PART
ejpam-6602	376	4	analyze	analyze	VERB
ejpam-6602	376	5	scalability	scalability	NOUN
ejpam-6602	376	6	,	,	PUNCT
ejpam-6602	376	7	we	we	PRON
ejpam-6602	376	8	tested	test	VERB
ejpam-6602	376	9	hmf	hmf	PROPN
ejpam-6602	376	10	on	on	ADP
ejpam-6602	376	11	increasing	increase	VERB
ejpam-6602	376	12	problem	problem	NOUN
ejpam-6602	376	13	sizes	size	NOUN
ejpam-6602	376	14	(	(	PUNCT
ejpam-6602	376	15	number	number	NOUN
ejpam-6602	376	16	of	of	ADP
ejpam-6602	376	17	variables	variable	NOUN
ejpam-6602	376	18	:	:	PUNCT
ejpam-6602	376	19	100	100	NUM
ejpam-6602	376	20	,	,	PUNCT
ejpam-6602	376	21	200	200	NUM
ejpam-6602	376	22	,	,	PUNCT
ejpam-6602	376	23	500	500	NUM
ejpam-6602	376	24	,	,	PUNCT
ejpam-6602	376	25	and	and	CCONJ
ejpam-6602	376	26	1000	1000	NUM
ejpam-6602	376	27	)	)	PUNCT
ejpam-6602	376	28	.	.	PUNCT
ejpam-6602	377	1	the	the	DET
ejpam-6602	377	2	scalability	scalability	NOUN
ejpam-6602	377	3	evaluation	evaluation	NOUN
ejpam-6602	377	4	was	be	AUX
ejpam-6602	377	5	conducted	conduct	VERB
ejpam-6602	377	6	using	use	VERB
ejpam-6602	377	7	the	the	DET
ejpam-6602	377	8	vehicle	vehicle	NOUN
ejpam-6602	377	9	routing	routing	NOUN
ejpam-6602	377	10	problem	problem	NOUN
ejpam-6602	377	11	(	(	PUNCT
ejpam-6602	377	12	vrp	vrp	NOUN
ejpam-6602	377	13	)	)	PUNCT
ejpam-6602	377	14	as	as	ADP
ejpam-6602	377	15	the	the	DET
ejpam-6602	377	16	benchmark	benchmark	NOUN
ejpam-6602	377	17	.	.	PUNCT
ejpam-6602	378	1	this	this	DET
ejpam-6602	378	2	problem	problem	NOUN
ejpam-6602	378	3	type	type	NOUN
ejpam-6602	378	4	was	be	AUX
ejpam-6602	378	5	selected	select	VERB
ejpam-6602	378	6	due	due	ADP
ejpam-6602	378	7	to	to	ADP
ejpam-6602	378	8	its	its	PRON
ejpam-6602	378	9	relevance	relevance	NOUN
ejpam-6602	378	10	in	in	ADP
ejpam-6602	378	11	logistics	logistic	NOUN
ejpam-6602	378	12	and	and	CCONJ
ejpam-6602	378	13	its	its	PRON
ejpam-6602	378	14	sensitivity	sensitivity	NOUN
ejpam-6602	378	15	to	to	ADP
ejpam-6602	378	16	increases	increase	NOUN
ejpam-6602	378	17	in	in	ADP
ejpam-6602	378	18	input	input	NOUN
ejpam-6602	378	19	size	size	NOUN
ejpam-6602	378	20	,	,	PUNCT
ejpam-6602	378	21	making	make	VERB
ejpam-6602	378	22	it	it	PRON
ejpam-6602	378	23	a	a	DET
ejpam-6602	378	24	representative	representative	NOUN
ejpam-6602	378	25	k.	k.	PROPN
ejpam-6602	378	26	danach	danach	PROPN
ejpam-6602	378	27	et	et	PROPN
ejpam-6602	378	28	al	al	PROPN
ejpam-6602	378	29	.	.	PUNCT
ejpam-6602	378	30	/	/	SYM
ejpam-6602	378	31	eur	eur	PROPN
ejpam-6602	378	32	.	.	PUNCT
ejpam-6602	379	1	j.	j.	PROPN
ejpam-6602	379	2	pure	pure	PROPN
ejpam-6602	379	3	appl	appl	PROPN
ejpam-6602	379	4	.	.	PROPN
ejpam-6602	379	5	math	math	PROPN
ejpam-6602	379	6	,	,	PUNCT
ejpam-6602	379	7	18	18	NUM
ejpam-6602	379	8	(	(	PUNCT
ejpam-6602	379	9	3	3	NUM
ejpam-6602	379	10	)	)	PUNCT
ejpam-6602	379	11	(	(	PUNCT
ejpam-6602	379	12	2025	2025	NUM
ejpam-6602	379	13	)	)	PUNCT
ejpam-6602	379	14	,	,	PUNCT
ejpam-6602	379	15	6602	6602	NUM
ejpam-6602	379	16	26	26	NUM
ejpam-6602	379	17	of	of	ADP
ejpam-6602	379	18	37	37	NUM
ejpam-6602	379	19	figure	figure	NOUN
ejpam-6602	379	20	8	8	NUM
ejpam-6602	379	21	:	:	PUNCT
ejpam-6602	379	22	average	average	ADJ
ejpam-6602	379	23	computational	computational	ADJ
ejpam-6602	379	24	cost	cost	NOUN
ejpam-6602	379	25	across	across	ADP
ejpam-6602	379	26	metaheuristics	metaheuristic	NOUN
ejpam-6602	379	27	test	test	NOUN
ejpam-6602	379	28	case	case	NOUN
ejpam-6602	379	29	for	for	ADP
ejpam-6602	379	30	large	large	ADJ
ejpam-6602	379	31	-	-	PUNCT
ejpam-6602	379	32	scale	scale	NOUN
ejpam-6602	379	33	combinatorial	combinatorial	ADJ
ejpam-6602	379	34	optimization	optimization	NOUN
ejpam-6602	379	35	.	.	PUNCT
ejpam-6602	380	1	each	each	DET
ejpam-6602	380	2	vrp	vrp	PROPN
ejpam-6602	380	3	instance	instance	NOUN
ejpam-6602	380	4	was	be	AUX
ejpam-6602	380	5	generated	generate	VERB
ejpam-6602	380	6	with	with	ADP
ejpam-6602	380	7	randomly	randomly	ADV
ejpam-6602	380	8	distributed	distribute	VERB
ejpam-6602	380	9	customer	customer	NOUN
ejpam-6602	380	10	coordinates	coordinate	NOUN
ejpam-6602	380	11	and	and	CCONJ
ejpam-6602	380	12	demand	demand	NOUN
ejpam-6602	380	13	values	value	NOUN
ejpam-6602	380	14	.	.	PUNCT
ejpam-6602	381	1	the	the	DET
ejpam-6602	381	2	objective	objective	ADJ
ejpam-6602	381	3	function	function	NOUN
ejpam-6602	381	4	minimized	minimize	VERB
ejpam-6602	381	5	the	the	DET
ejpam-6602	381	6	total	total	ADJ
ejpam-6602	381	7	travel	travel	NOUN
ejpam-6602	381	8	distance	distance	NOUN
ejpam-6602	381	9	,	,	PUNCT
ejpam-6602	381	10	subject	subject	ADJ
ejpam-6602	381	11	to	to	ADP
ejpam-6602	381	12	route	route	VERB
ejpam-6602	381	13	feasibility	feasibility	NOUN
ejpam-6602	381	14	and	and	CCONJ
ejpam-6602	381	15	vehicle	vehicle	NOUN
ejpam-6602	381	16	capacity	capacity	NOUN
ejpam-6602	381	17	constraints	constraint	NOUN
ejpam-6602	381	18	.	.	PUNCT
ejpam-6602	382	1	the	the	DET
ejpam-6602	382	2	number	number	NOUN
ejpam-6602	382	3	of	of	ADP
ejpam-6602	382	4	vehicles	vehicle	NOUN
ejpam-6602	382	5	was	be	AUX
ejpam-6602	382	6	adjusted	adjust	VERB
ejpam-6602	382	7	proportionally	proportionally	ADV
ejpam-6602	382	8	to	to	ADP
ejpam-6602	382	9	the	the	DET
ejpam-6602	382	10	number	number	NOUN
ejpam-6602	382	11	of	of	ADP
ejpam-6602	382	12	customers	customer	NOUN
ejpam-6602	382	13	in	in	ADP
ejpam-6602	382	14	each	each	DET
ejpam-6602	382	15	instance	instance	NOUN
ejpam-6602	382	16	,	,	PUNCT
ejpam-6602	382	17	while	while	SCONJ
ejpam-6602	382	18	the	the	DET
ejpam-6602	382	19	vehicle	vehicle	NOUN
ejpam-6602	382	20	capacity	capacity	NOUN
ejpam-6602	382	21	remained	remain	VERB
ejpam-6602	382	22	fixed	fix	VERB
ejpam-6602	382	23	.	.	PUNCT
ejpam-6602	383	1	all	all	DET
ejpam-6602	383	2	instances	instance	NOUN
ejpam-6602	383	3	followed	follow	VERB
ejpam-6602	383	4	the	the	DET
ejpam-6602	383	5	same	same	ADJ
ejpam-6602	383	6	structural	structural	ADJ
ejpam-6602	383	7	assumptions	assumption	NOUN
ejpam-6602	383	8	and	and	CCONJ
ejpam-6602	383	9	statistical	statistical	ADJ
ejpam-6602	383	10	distribution	distribution	NOUN
ejpam-6602	383	11	of	of	ADP
ejpam-6602	383	12	parameters	parameter	NOUN
ejpam-6602	383	13	to	to	PART
ejpam-6602	383	14	ensure	ensure	VERB
ejpam-6602	383	15	a	a	DET
ejpam-6602	383	16	fair	fair	ADJ
ejpam-6602	383	17	comparison	comparison	NOUN
ejpam-6602	383	18	.	.	PUNCT
ejpam-6602	384	1	the	the	DET
ejpam-6602	384	2	hmf	hmf	PROPN
ejpam-6602	384	3	configuration	configuration	NOUN
ejpam-6602	384	4	remained	remain	VERB
ejpam-6602	384	5	constant	constant	ADJ
ejpam-6602	384	6	throughout	throughout	ADP
ejpam-6602	384	7	the	the	DET
ejpam-6602	384	8	experiments	experiment	NOUN
ejpam-6602	384	9	to	to	PART
ejpam-6602	384	10	isolate	isolate	VERB
ejpam-6602	384	11	scalability	scalability	NOUN
ejpam-6602	384	12	effects	effect	NOUN
ejpam-6602	384	13	.	.	PUNCT
ejpam-6602	385	1	figure	figure	VERB
ejpam-6602	385	2	11	11	NUM
ejpam-6602	385	3	shows	show	VERB
ejpam-6602	385	4	that	that	SCONJ
ejpam-6602	385	5	hmf	hmf	PROPN
ejpam-6602	385	6	maintains	maintain	VERB
ejpam-6602	385	7	stable	stable	ADJ
ejpam-6602	385	8	performance	performance	NOUN
ejpam-6602	385	9	even	even	ADV
ejpam-6602	385	10	as	as	ADP
ejpam-6602	385	11	problem	problem	NOUN
ejpam-6602	385	12	size	size	NOUN
ejpam-6602	385	13	increases	increase	NOUN
ejpam-6602	385	14	,	,	PUNCT
ejpam-6602	385	15	demonstrating	demonstrate	VERB
ejpam-6602	385	16	its	its	PRON
ejpam-6602	385	17	robustness	robustness	NOUN
ejpam-6602	385	18	and	and	CCONJ
ejpam-6602	385	19	adaptability	adaptability	NOUN
ejpam-6602	385	20	in	in	ADP
ejpam-6602	385	21	large	large	ADJ
ejpam-6602	385	22	-	-	PUNCT
ejpam-6602	385	23	scale	scale	NOUN
ejpam-6602	385	24	settings	setting	NOUN
ejpam-6602	385	25	.	.	PUNCT
ejpam-6602	386	1	k.	k.	PROPN
ejpam-6602	386	2	danach	danach	PROPN
ejpam-6602	386	3	et	et	PROPN
ejpam-6602	386	4	al	al	PROPN
ejpam-6602	386	5	.	.	PUNCT
ejpam-6602	386	6	/	/	SYM
ejpam-6602	386	7	eur	eur	PROPN
ejpam-6602	386	8	.	.	PUNCT
ejpam-6602	387	1	j.	j.	PROPN
ejpam-6602	387	2	pure	pure	PROPN
ejpam-6602	387	3	appl	appl	PROPN
ejpam-6602	387	4	.	.	PROPN
ejpam-6602	387	5	math	math	PROPN
ejpam-6602	387	6	,	,	PUNCT
ejpam-6602	387	7	18	18	NUM
ejpam-6602	387	8	(	(	PUNCT
ejpam-6602	387	9	3	3	NUM
ejpam-6602	387	10	)	)	PUNCT
ejpam-6602	387	11	(	(	PUNCT
ejpam-6602	387	12	2025	2025	NUM
ejpam-6602	387	13	)	)	PUNCT
ejpam-6602	387	14	,	,	PUNCT
ejpam-6602	387	15	6602	6602	NUM
ejpam-6602	387	16	27	27	NUM
ejpam-6602	387	17	of	of	ADP
ejpam-6602	387	18	37	37	NUM
ejpam-6602	387	19	figure	figure	NOUN
ejpam-6602	387	20	9	9	NUM
ejpam-6602	387	21	:	:	PUNCT
ejpam-6602	387	22	runtime	runtime	NOUN
ejpam-6602	387	23	distribution	distribution	NOUN
ejpam-6602	387	24	of	of	ADP
ejpam-6602	387	25	each	each	DET
ejpam-6602	387	26	metaheuristic	metaheuristic	NOUN
ejpam-6602	387	27	across	across	ADP
ejpam-6602	387	28	50	50	NUM
ejpam-6602	387	29	independent	independent	ADJ
ejpam-6602	387	30	runs	run	NOUN
ejpam-6602	387	31	.	.	PUNCT
ejpam-6602	388	1	hmf	hmf	PROPN
ejpam-6602	388	2	demonstrates	demonstrate	VERB
ejpam-6602	388	3	both	both	CCONJ
ejpam-6602	388	4	the	the	DET
ejpam-6602	388	5	lowest	low	ADJ
ejpam-6602	388	6	median	median	ADJ
ejpam-6602	388	7	runtime	runtime	NOUN
ejpam-6602	388	8	and	and	CCONJ
ejpam-6602	388	9	the	the	DET
ejpam-6602	388	10	highest	high	ADJ
ejpam-6602	388	11	runtime	runtime	NOUN
ejpam-6602	388	12	stability	stability	NOUN
ejpam-6602	388	13	.	.	PUNCT
ejpam-6602	389	1	6.8	6.8	NUM
ejpam-6602	389	2	.	.	X
ejpam-6602	389	3	sensitivity	sensitivity	NOUN
ejpam-6602	389	4	analysis	analysis	NOUN
ejpam-6602	389	5	of	of	ADP
ejpam-6602	389	6	rl	rl	ADP
ejpam-6602	389	7	hyperparameters	hyperparameter	NOUN
ejpam-6602	389	8	to	to	PART
ejpam-6602	389	9	evaluate	evaluate	VERB
ejpam-6602	389	10	the	the	DET
ejpam-6602	389	11	sensitivity	sensitivity	NOUN
ejpam-6602	389	12	of	of	ADP
ejpam-6602	389	13	the	the	DET
ejpam-6602	389	14	proposed	propose	VERB
ejpam-6602	389	15	hmf	hmf	PROPN
ejpam-6602	389	16	framework	framework	NOUN
ejpam-6602	389	17	to	to	ADP
ejpam-6602	389	18	the	the	DET
ejpam-6602	389	19	reinforcement	reinforcement	NOUN
ejpam-6602	389	20	learning	learning	NOUN
ejpam-6602	389	21	controller	controller	NOUN
ejpam-6602	389	22	’s	’s	PART
ejpam-6602	389	23	hyperparameters	hyperparameter	NOUN
ejpam-6602	389	24	,	,	PUNCT
ejpam-6602	389	25	we	we	PRON
ejpam-6602	389	26	varied	vary	VERB
ejpam-6602	389	27	three	three	NUM
ejpam-6602	389	28	key	key	ADJ
ejpam-6602	389	29	parameters	parameter	NOUN
ejpam-6602	389	30	of	of	ADP
ejpam-6602	389	31	the	the	DET
ejpam-6602	389	32	dqn	dqn	ADJ
ejpam-6602	389	33	agent	agent	NOUN
ejpam-6602	389	34	:	:	PUNCT
ejpam-6602	389	35	•	•	ADP
ejpam-6602	389	36	learning	learn	VERB
ejpam-6602	389	37	rate	rate	NOUN
ejpam-6602	389	38	(	(	PUNCT
ejpam-6602	389	39	α	α	NOUN
ejpam-6602	389	40	):	):	PUNCT
ejpam-6602	389	41	tested	test	VERB
ejpam-6602	389	42	values	value	NOUN
ejpam-6602	389	43	{	{	PUNCT
ejpam-6602	389	44	0.0005	0.0005	NUM
ejpam-6602	389	45	,	,	PUNCT
ejpam-6602	389	46	0.001	0.001	NUM
ejpam-6602	389	47	,	,	PUNCT
ejpam-6602	389	48	0.01	0.01	NUM
ejpam-6602	389	49	}	}	SYM
ejpam-6602	389	50	•	•	NUM
ejpam-6602	389	51	discount	discount	NOUN
ejpam-6602	389	52	factor	factor	NOUN
ejpam-6602	389	53	(	(	PUNCT
ejpam-6602	389	54	γ	γ	X
ejpam-6602	389	55	):	):	PUNCT
ejpam-6602	389	56	tested	test	VERB
ejpam-6602	389	57	values	value	NOUN
ejpam-6602	389	58	{	{	PUNCT
ejpam-6602	389	59	0.85	0.85	NUM
ejpam-6602	389	60	,	,	PUNCT
ejpam-6602	389	61	0.90	0.90	NUM
ejpam-6602	389	62	,	,	PUNCT
ejpam-6602	389	63	0.95	0.95	NUM
ejpam-6602	389	64	}	}	SYM
ejpam-6602	389	65	•	•	NUM
ejpam-6602	389	66	replay	replay	NOUN
ejpam-6602	389	67	buffer	buffer	NOUN
ejpam-6602	389	68	size	size	NOUN
ejpam-6602	389	69	:	:	PUNCT
ejpam-6602	389	70	tested	test	VERB
ejpam-6602	389	71	values	value	NOUN
ejpam-6602	389	72	{	{	PUNCT
ejpam-6602	389	73	5,000	5,000	NUM
ejpam-6602	389	74	,	,	PUNCT
ejpam-6602	389	75	10,000	10,000	NUM
ejpam-6602	389	76	,	,	PUNCT
ejpam-6602	389	77	50,000	50,000	NUM
ejpam-6602	389	78	}	}	PUNCT
ejpam-6602	389	79	each	each	DET
ejpam-6602	389	80	configuration	configuration	NOUN
ejpam-6602	389	81	was	be	AUX
ejpam-6602	389	82	evaluated	evaluate	VERB
ejpam-6602	389	83	on	on	ADP
ejpam-6602	389	84	the	the	DET
ejpam-6602	389	85	vrp	vrp	PROPN
ejpam-6602	389	86	-	-	PUNCT
ejpam-6602	389	87	c101	c101	PROPN
ejpam-6602	389	88	instance	instance	NOUN
ejpam-6602	389	89	over	over	ADP
ejpam-6602	389	90	30	30	NUM
ejpam-6602	389	91	independent	independent	ADJ
ejpam-6602	389	92	runs	run	NOUN
ejpam-6602	389	93	.	.	PUNCT
ejpam-6602	390	1	table	table	NOUN
ejpam-6602	390	2	4	4	NUM
ejpam-6602	390	3	reports	report	VERB
ejpam-6602	390	4	the	the	DET
ejpam-6602	390	5	success	success	NOUN
ejpam-6602	390	6	rate	rate	NOUN
ejpam-6602	390	7	and	and	CCONJ
ejpam-6602	390	8	best	good	ADJ
ejpam-6602	390	9	objective	objective	ADJ
ejpam-6602	390	10	value	value	NOUN
ejpam-6602	390	11	(	(	PUNCT
ejpam-6602	390	12	mean	mean	NOUN
ejpam-6602	390	13	±	±	NUM
ejpam-6602	390	14	95	95	NUM
ejpam-6602	390	15	%	%	NOUN
ejpam-6602	390	16	ci	ci	NOUN
ejpam-6602	390	17	)	)	PUNCT
ejpam-6602	390	18	.	.	PUNCT
ejpam-6602	391	1	table	table	NOUN
ejpam-6602	391	2	4	4	NUM
ejpam-6602	391	3	:	:	PUNCT
ejpam-6602	391	4	sensitivity	sensitivity	NOUN
ejpam-6602	391	5	of	of	ADP
ejpam-6602	391	6	hmf	hmf	PROPN
ejpam-6602	391	7	to	to	ADP
ejpam-6602	391	8	dqn	dqn	ADJ
ejpam-6602	391	9	hyperparameters	hyperparameter	NOUN
ejpam-6602	391	10	(	(	PUNCT
ejpam-6602	391	11	vrp	vrp	PROPN
ejpam-6602	391	12	-	-	PUNCT
ejpam-6602	391	13	c101	c101	PROPN
ejpam-6602	391	14	)	)	PUNCT
ejpam-6602	391	15	config	config	NOUN
ejpam-6602	391	16	success	success	NOUN
ejpam-6602	391	17	rate	rate	NOUN
ejpam-6602	391	18	(	(	PUNCT
ejpam-6602	391	19	%	%	INTJ
ejpam-6602	391	20	)	)	PUNCT
ejpam-6602	391	21	best	well	ADV
ejpam-6602	391	22	obj	obj	PROPN
ejpam-6602	391	23	.	.	PUNCT
ejpam-6602	392	1	(	(	PUNCT
ejpam-6602	392	2	mean	mean	PROPN
ejpam-6602	392	3	±	±	NUM
ejpam-6602	392	4	ci	ci	NOUN
ejpam-6602	392	5	)	)	PUNCT
ejpam-6602	392	6	remarks	remark	VERB
ejpam-6602	392	7	α	α	X
ejpam-6602	392	8	=	=	SYM
ejpam-6602	392	9	0.001	0.001	NUM
ejpam-6602	392	10	,	,	PUNCT
ejpam-6602	392	11	γ	γ	X
ejpam-6602	392	12	=	=	SYM
ejpam-6602	392	13	0.95	0.95	NUM
ejpam-6602	392	14	,	,	PUNCT
ejpam-6602	392	15	b	b	NOUN
ejpam-6602	392	16	=	=	SYM
ejpam-6602	392	17	10,000	10,000	NUM
ejpam-6602	392	18	96.8	96.8	NUM
ejpam-6602	392	19	398.2	398.2	NUM
ejpam-6602	392	20	±	±	NUM
ejpam-6602	392	21	2.1	2.1	NUM
ejpam-6602	392	22	baseline	baseline	NOUN
ejpam-6602	392	23	α	α	NOUN
ejpam-6602	392	24	=	=	NOUN
ejpam-6602	392	25	0.01	0.01	NUM
ejpam-6602	392	26	,	,	PUNCT
ejpam-6602	392	27	γ	γ	X
ejpam-6602	392	28	=	=	SYM
ejpam-6602	392	29	0.95	0.95	NUM
ejpam-6602	392	30	,	,	PUNCT
ejpam-6602	392	31	b	b	NOUN
ejpam-6602	392	32	=	=	SYM
ejpam-6602	392	33	10,000	10,000	NUM
ejpam-6602	392	34	91.0	91.0	NUM
ejpam-6602	392	35	405.6	405.6	NUM
ejpam-6602	392	36	±	±	NUM
ejpam-6602	392	37	2.9	2.9	NUM
ejpam-6602	392	38	overfits	overfit	NOUN
ejpam-6602	392	39	α	α	X
ejpam-6602	392	40	=	=	NOUN
ejpam-6602	392	41	0.0005	0.0005	NUM
ejpam-6602	392	42	,	,	PUNCT
ejpam-6602	392	43	γ	γ	NOUN
ejpam-6602	392	44	=	=	SYM
ejpam-6602	392	45	0.95	0.95	NUM
ejpam-6602	392	46	,	,	PUNCT
ejpam-6602	392	47	b	b	NOUN
ejpam-6602	392	48	=	=	SYM
ejpam-6602	392	49	10,000	10,000	NUM
ejpam-6602	392	50	93.1	93.1	NUM
ejpam-6602	392	51	402.4	402.4	NUM
ejpam-6602	392	52	±	±	NUM
ejpam-6602	392	53	2.4	2.4	NUM
ejpam-6602	392	54	slower	slow	ADV
ejpam-6602	392	55	learning	learn	VERB
ejpam-6602	392	56	α	α	X
ejpam-6602	392	57	=	=	SYM
ejpam-6602	392	58	0.001	0.001	NUM
ejpam-6602	392	59	,	,	PUNCT
ejpam-6602	392	60	γ	γ	X
ejpam-6602	392	61	=	=	SYM
ejpam-6602	392	62	0.85	0.85	NUM
ejpam-6602	392	63	,	,	PUNCT
ejpam-6602	392	64	b	b	X
ejpam-6602	392	65	=	=	SYM
ejpam-6602	392	66	10,000	10,000	NUM
ejpam-6602	392	67	92.3	92.3	NUM
ejpam-6602	392	68	404.9	404.9	NUM
ejpam-6602	392	69	±	±	NUM
ejpam-6602	392	70	2.6	2.6	NUM
ejpam-6602	392	71	weak	weak	ADJ
ejpam-6602	392	72	long	long	ADJ
ejpam-6602	392	73	-	-	PUNCT
ejpam-6602	392	74	term	term	NOUN
ejpam-6602	392	75	gains	gain	NOUN
ejpam-6602	392	76	α	α	NOUN
ejpam-6602	392	77	=	=	SYM
ejpam-6602	392	78	0.001	0.001	NUM
ejpam-6602	392	79	,	,	PUNCT
ejpam-6602	392	80	γ	γ	X
ejpam-6602	392	81	=	=	SYM
ejpam-6602	392	82	0.95	0.95	NUM
ejpam-6602	392	83	,	,	PUNCT
ejpam-6602	392	84	b	b	NOUN
ejpam-6602	392	85	=	=	SYM
ejpam-6602	392	86	5,000	5,000	NUM
ejpam-6602	392	87	90.6	90.6	NUM
ejpam-6602	392	88	408.1	408.1	NUM
ejpam-6602	392	89	±	±	NUM
ejpam-6602	392	90	3.3	3.3	NUM
ejpam-6602	392	91	less	less	ADV
ejpam-6602	392	92	stable	stable	ADJ
ejpam-6602	392	93	q	q	NOUN
ejpam-6602	392	94	-	-	PUNCT
ejpam-6602	392	95	updates	update	VERB
ejpam-6602	392	96	α	α	X
ejpam-6602	392	97	=	=	SYM
ejpam-6602	392	98	0.001	0.001	NUM
ejpam-6602	392	99	,	,	PUNCT
ejpam-6602	392	100	γ	γ	X
ejpam-6602	392	101	=	=	SYM
ejpam-6602	392	102	0.95	0.95	NUM
ejpam-6602	392	103	,	,	PUNCT
ejpam-6602	392	104	b	b	NOUN
ejpam-6602	392	105	=	=	SYM
ejpam-6602	392	106	50,000	50,000	NUM
ejpam-6602	392	107	95.7	95.7	NUM
ejpam-6602	392	108	400.1	400.1	NUM
ejpam-6602	392	109	±	±	NUM
ejpam-6602	392	110	2.0	2.0	NUM
ejpam-6602	392	111	similar	similar	ADJ
ejpam-6602	392	112	to	to	PART
ejpam-6602	392	113	baseline	baseline	VERB
ejpam-6602	392	114	k.	k.	PROPN
ejpam-6602	392	115	danach	danach	PROPN
ejpam-6602	392	116	et	et	PROPN
ejpam-6602	392	117	al	al	PROPN
ejpam-6602	392	118	.	.	PUNCT
ejpam-6602	392	119	/	/	SYM
ejpam-6602	392	120	eur	eur	PROPN
ejpam-6602	392	121	.	.	PUNCT
ejpam-6602	393	1	j.	j.	PROPN
ejpam-6602	393	2	pure	pure	PROPN
ejpam-6602	393	3	appl	appl	PROPN
ejpam-6602	393	4	.	.	PROPN
ejpam-6602	393	5	math	math	PROPN
ejpam-6602	393	6	,	,	PUNCT
ejpam-6602	393	7	18	18	NUM
ejpam-6602	393	8	(	(	PUNCT
ejpam-6602	393	9	3	3	NUM
ejpam-6602	393	10	)	)	PUNCT
ejpam-6602	393	11	(	(	PUNCT
ejpam-6602	393	12	2025	2025	NUM
ejpam-6602	393	13	)	)	PUNCT
ejpam-6602	393	14	,	,	PUNCT
ejpam-6602	393	15	6602	6602	NUM
ejpam-6602	393	16	28	28	NUM
ejpam-6602	393	17	of	of	ADP
ejpam-6602	393	18	37	37	NUM
ejpam-6602	393	19	figure	figure	NOUN
ejpam-6602	393	20	10	10	NUM
ejpam-6602	393	21	:	:	PUNCT
ejpam-6602	393	22	computational	computational	ADJ
ejpam-6602	393	23	cost	cost	NOUN
ejpam-6602	393	24	comparison	comparison	NOUN
ejpam-6602	393	25	of	of	ADP
ejpam-6602	393	26	metaheuristics	metaheuristic	NOUN
ejpam-6602	393	27	results	result	NOUN
ejpam-6602	393	28	show	show	VERB
ejpam-6602	393	29	that	that	SCONJ
ejpam-6602	393	30	hmf	hmf	PROPN
ejpam-6602	393	31	performs	perform	VERB
ejpam-6602	393	32	reliably	reliably	ADV
ejpam-6602	393	33	within	within	ADP
ejpam-6602	393	34	a	a	DET
ejpam-6602	393	35	reasonable	reasonable	ADJ
ejpam-6602	393	36	range	range	NOUN
ejpam-6602	393	37	of	of	ADP
ejpam-6602	393	38	hyperparameters	hyperparameter	NOUN
ejpam-6602	393	39	.	.	PUNCT
ejpam-6602	394	1	the	the	DET
ejpam-6602	394	2	baseline	baseline	PROPN
ejpam-6602	394	3	configuration	configuration	NOUN
ejpam-6602	394	4	achieves	achieve	VERB
ejpam-6602	394	5	the	the	DET
ejpam-6602	394	6	best	good	ADJ
ejpam-6602	394	7	balance	balance	NOUN
ejpam-6602	394	8	between	between	ADP
ejpam-6602	394	9	performance	performance	NOUN
ejpam-6602	394	10	and	and	CCONJ
ejpam-6602	394	11	stability	stability	NOUN
ejpam-6602	394	12	.	.	PUNCT
ejpam-6602	395	1	slight	slight	ADJ
ejpam-6602	395	2	degradation	degradation	NOUN
ejpam-6602	395	3	occurs	occur	VERB
ejpam-6602	395	4	with	with	ADP
ejpam-6602	395	5	extreme	extreme	ADJ
ejpam-6602	395	6	values	value	NOUN
ejpam-6602	395	7	,	,	PUNCT
ejpam-6602	395	8	especially	especially	ADV
ejpam-6602	395	9	in	in	ADP
ejpam-6602	395	10	learning	learn	VERB
ejpam-6602	395	11	rate	rate	NOUN
ejpam-6602	395	12	and	and	CCONJ
ejpam-6602	395	13	replay	replay	NOUN
ejpam-6602	395	14	buffer	buffer	NOUN
ejpam-6602	395	15	size	size	NOUN
ejpam-6602	395	16	.	.	PUNCT
ejpam-6602	396	1	this	this	PRON
ejpam-6602	396	2	suggests	suggest	VERB
ejpam-6602	396	3	that	that	SCONJ
ejpam-6602	396	4	while	while	SCONJ
ejpam-6602	396	5	tuning	tuning	NOUN
ejpam-6602	396	6	can	can	AUX
ejpam-6602	396	7	influence	influence	VERB
ejpam-6602	396	8	outcomes	outcome	NOUN
ejpam-6602	396	9	,	,	PUNCT
ejpam-6602	396	10	hmf	hmf	PROPN
ejpam-6602	396	11	is	be	AUX
ejpam-6602	396	12	not	not	PART
ejpam-6602	396	13	overly	overly	ADV
ejpam-6602	396	14	sensitive	sensitive	ADJ
ejpam-6602	396	15	and	and	CCONJ
ejpam-6602	396	16	remains	remain	VERB
ejpam-6602	396	17	robust	robust	ADJ
ejpam-6602	396	18	across	across	ADP
ejpam-6602	396	19	typical	typical	ADJ
ejpam-6602	396	20	rl	rl	ADP
ejpam-6602	396	21	settings	setting	NOUN
ejpam-6602	396	22	.	.	PUNCT
ejpam-6602	397	1	6.9	6.9	NUM
ejpam-6602	397	2	.	.	PUNCT
ejpam-6602	397	3	component	component	NOUN
ejpam-6602	397	4	-	-	PUNCT
ejpam-6602	397	5	wise	wise	ADJ
ejpam-6602	397	6	contribution	contribution	NOUN
ejpam-6602	397	7	analysis	analysis	NOUN
ejpam-6602	397	8	to	to	PART
ejpam-6602	397	9	better	well	ADV
ejpam-6602	397	10	understand	understand	VERB
ejpam-6602	397	11	the	the	DET
ejpam-6602	397	12	impact	impact	NOUN
ejpam-6602	397	13	of	of	ADP
ejpam-6602	397	14	each	each	DET
ejpam-6602	397	15	major	major	ADJ
ejpam-6602	397	16	component	component	NOUN
ejpam-6602	397	17	in	in	ADP
ejpam-6602	397	18	hmf	hmf	PROPN
ejpam-6602	397	19	,	,	PUNCT
ejpam-6602	397	20	we	we	PRON
ejpam-6602	397	21	conducted	conduct	VERB
ejpam-6602	397	22	a	a	DET
ejpam-6602	397	23	component	component	NOUN
ejpam-6602	397	24	-	-	PUNCT
ejpam-6602	397	25	wise	wise	ADJ
ejpam-6602	397	26	ablation	ablation	NOUN
ejpam-6602	397	27	where	where	SCONJ
ejpam-6602	397	28	each	each	DET
ejpam-6602	397	29	feature	feature	NOUN
ejpam-6602	397	30	is	be	AUX
ejpam-6602	397	31	disabled	disable	VERB
ejpam-6602	397	32	in	in	ADP
ejpam-6602	397	33	isolation	isolation	NOUN
ejpam-6602	397	34	while	while	SCONJ
ejpam-6602	397	35	keeping	keep	VERB
ejpam-6602	397	36	the	the	DET
ejpam-6602	397	37	rest	rest	NOUN
ejpam-6602	397	38	of	of	ADP
ejpam-6602	397	39	the	the	DET
ejpam-6602	397	40	framework	framework	NOUN
ejpam-6602	397	41	intact	intact	ADJ
ejpam-6602	397	42	.	.	PUNCT
ejpam-6602	398	1	the	the	DET
ejpam-6602	398	2	three	three	NUM
ejpam-6602	398	3	tested	test	VERB
ejpam-6602	398	4	configurations	configuration	NOUN
ejpam-6602	398	5	are	be	AUX
ejpam-6602	398	6	:	:	PUNCT
ejpam-6602	398	7	•	•	ADV
ejpam-6602	398	8	hmf	hmf	NOUN
ejpam-6602	398	9	-	-	PUNCT
ejpam-6602	398	10	full	full	ADJ
ejpam-6602	398	11	:	:	PUNCT
ejpam-6602	398	12	the	the	DET
ejpam-6602	398	13	complete	complete	ADJ
ejpam-6602	398	14	framework	framework	NOUN
ejpam-6602	398	15	with	with	ADP
ejpam-6602	398	16	both	both	PRON
ejpam-6602	398	17	rl	rl	NOUN
ejpam-6602	398	18	-	-	PUNCT
ejpam-6602	398	19	based	base	VERB
ejpam-6602	398	20	parameter	parameter	NOUN
ejpam-6602	398	21	tuning	tuning	NOUN
ejpam-6602	398	22	and	and	CCONJ
ejpam-6602	398	23	adaptive	adaptive	ADJ
ejpam-6602	398	24	metaheuristic	metaheuristic	ADJ
ejpam-6602	398	25	selection	selection	NOUN
ejpam-6602	398	26	(	(	PUNCT
ejpam-6602	398	27	baseline	baseline	NOUN
ejpam-6602	398	28	)	)	PUNCT
ejpam-6602	398	29	.	.	PUNCT
ejpam-6602	399	1	k.	k.	PROPN
ejpam-6602	399	2	danach	danach	PROPN
ejpam-6602	399	3	et	et	PROPN
ejpam-6602	399	4	al	al	PROPN
ejpam-6602	399	5	.	.	PUNCT
ejpam-6602	399	6	/	/	SYM
ejpam-6602	399	7	eur	eur	PROPN
ejpam-6602	399	8	.	.	PUNCT
ejpam-6602	400	1	j.	j.	PROPN
ejpam-6602	400	2	pure	pure	PROPN
ejpam-6602	400	3	appl	appl	PROPN
ejpam-6602	400	4	.	.	PROPN
ejpam-6602	400	5	math	math	PROPN
ejpam-6602	400	6	,	,	PUNCT
ejpam-6602	400	7	18	18	NUM
ejpam-6602	400	8	(	(	PUNCT
ejpam-6602	400	9	3	3	NUM
ejpam-6602	400	10	)	)	PUNCT
ejpam-6602	400	11	(	(	PUNCT
ejpam-6602	400	12	2025	2025	NUM
ejpam-6602	400	13	)	)	PUNCT
ejpam-6602	400	14	,	,	PUNCT
ejpam-6602	400	15	6602	6602	NUM
ejpam-6602	400	16	29	29	NUM
ejpam-6602	400	17	of	of	ADP
ejpam-6602	400	18	37	37	NUM
ejpam-6602	400	19	figure	figure	NOUN
ejpam-6602	400	20	11	11	NUM
ejpam-6602	400	21	:	:	PUNCT
ejpam-6602	400	22	scalability	scalability	NOUN
ejpam-6602	400	23	of	of	ADP
ejpam-6602	400	24	hmf	hmf	PROPN
ejpam-6602	400	25	with	with	ADP
ejpam-6602	400	26	increasing	increase	VERB
ejpam-6602	400	27	problem	problem	NOUN
ejpam-6602	400	28	size	size	NOUN
ejpam-6602	400	29	•	•	NOUN
ejpam-6602	400	30	hmf	hmf	NOUN
ejpam-6602	400	31	-	-	PUNCT
ejpam-6602	400	32	norl	norl	NOUN
ejpam-6602	400	33	:	:	PUNCT
ejpam-6602	400	34	rl	rl	AUX
ejpam-6602	400	35	disabled	disabled	ADJ
ejpam-6602	400	36	;	;	PUNCT
ejpam-6602	400	37	metaheuristic	metaheuristic	ADJ
ejpam-6602	400	38	parameters	parameter	NOUN
ejpam-6602	400	39	fixed	fix	VERB
ejpam-6602	400	40	throughout	throughout	ADP
ejpam-6602	400	41	execution	execution	NOUN
ejpam-6602	400	42	.	.	PUNCT
ejpam-6602	401	1	•	•	NUM
ejpam-6602	401	2	hmf	hmf	NOUN
ejpam-6602	401	3	-	-	PUNCT
ejpam-6602	401	4	noadapt	noadapt	ADJ
ejpam-6602	401	5	:	:	PUNCT
ejpam-6602	401	6	metaheuristic	metaheuristic	ADJ
ejpam-6602	401	7	selection	selection	NOUN
ejpam-6602	401	8	made	make	VERB
ejpam-6602	401	9	randomly	randomly	ADV
ejpam-6602	401	10	(	(	PUNCT
ejpam-6602	401	11	uniform	uniform	ADJ
ejpam-6602	401	12	sampling	sampling	NOUN
ejpam-6602	401	13	)	)	PUNCT
ejpam-6602	401	14	;	;	PUNCT
ejpam-6602	401	15	rl	rl	X
ejpam-6602	401	16	still	still	ADV
ejpam-6602	401	17	used	use	VERB
ejpam-6602	401	18	for	for	ADP
ejpam-6602	401	19	parameter	parameter	NOUN
ejpam-6602	401	20	tuning	tuning	NOUN
ejpam-6602	401	21	.	.	PUNCT
ejpam-6602	402	1	table	table	NOUN
ejpam-6602	402	2	5	5	NUM
ejpam-6602	402	3	shows	show	VERB
ejpam-6602	402	4	results	result	NOUN
ejpam-6602	402	5	on	on	ADP
ejpam-6602	402	6	vrp	vrp	PROPN
ejpam-6602	402	7	-	-	PUNCT
ejpam-6602	402	8	c101	c101	PROPN
ejpam-6602	402	9	over	over	ADP
ejpam-6602	402	10	30	30	NUM
ejpam-6602	402	11	independent	independent	ADJ
ejpam-6602	402	12	runs	run	NOUN
ejpam-6602	402	13	.	.	PUNCT
ejpam-6602	403	1	table	table	NOUN
ejpam-6602	403	2	5	5	NUM
ejpam-6602	403	3	:	:	PUNCT
ejpam-6602	403	4	impact	impact	NOUN
ejpam-6602	403	5	of	of	ADP
ejpam-6602	403	6	hmf	hmf	PROPN
ejpam-6602	403	7	components	component	NOUN
ejpam-6602	403	8	on	on	ADP
ejpam-6602	403	9	success	success	NOUN
ejpam-6602	403	10	rate	rate	NOUN
ejpam-6602	403	11	and	and	CCONJ
ejpam-6602	403	12	objective	objective	ADJ
ejpam-6602	403	13	value	value	NOUN
ejpam-6602	403	14	configuration	configuration	NOUN
ejpam-6602	403	15	success	success	NOUN
ejpam-6602	403	16	rate	rate	NOUN
ejpam-6602	403	17	(	(	PUNCT
ejpam-6602	403	18	%	%	INTJ
ejpam-6602	403	19	)	)	PUNCT
ejpam-6602	403	20	best	good	ADJ
ejpam-6602	403	21	objective	objective	ADJ
ejpam-6602	403	22	(	(	PUNCT
ejpam-6602	403	23	mean	mean	PROPN
ejpam-6602	403	24	±	±	NUM
ejpam-6602	403	25	ci	ci	PROPN
ejpam-6602	403	26	)	)	PUNCT
ejpam-6602	403	27	hmf	hmf	NOUN
ejpam-6602	403	28	-	-	PUNCT
ejpam-6602	403	29	full	full	ADJ
ejpam-6602	403	30	(	(	PUNCT
ejpam-6602	403	31	baseline	baseline	NOUN
ejpam-6602	403	32	)	)	PUNCT
ejpam-6602	403	33	96.8	96.8	NUM
ejpam-6602	403	34	398.2	398.2	NUM
ejpam-6602	403	35	±	±	NUM
ejpam-6602	403	36	2.1	2.1	NUM
ejpam-6602	403	37	hmf	hmf	NOUN
ejpam-6602	403	38	-	-	PUNCT
ejpam-6602	403	39	norl	norl	PROPN
ejpam-6602	403	40	89.7	89.7	NUM
ejpam-6602	403	41	408.4	408.4	NUM
ejpam-6602	403	42	±	±	NUM
ejpam-6602	403	43	2.9	2.9	NUM
ejpam-6602	403	44	hmf	hmf	PROPN
ejpam-6602	403	45	-	-	PUNCT
ejpam-6602	403	46	noadapt	noadapt	NOUN
ejpam-6602	403	47	91.2	91.2	NUM
ejpam-6602	403	48	404.7	404.7	NUM
ejpam-6602	403	49	±	±	NUM
ejpam-6602	403	50	2.6	2.6	NUM
ejpam-6602	403	51	the	the	DET
ejpam-6602	403	52	results	result	NOUN
ejpam-6602	403	53	show	show	VERB
ejpam-6602	403	54	that	that	SCONJ
ejpam-6602	403	55	both	both	DET
ejpam-6602	403	56	components	component	NOUN
ejpam-6602	403	57	are	be	AUX
ejpam-6602	403	58	critical	critical	ADJ
ejpam-6602	403	59	.	.	PUNCT
ejpam-6602	404	1	disabling	disable	VERB
ejpam-6602	404	2	rl	rl	X
ejpam-6602	404	3	results	result	NOUN
ejpam-6602	404	4	in	in	ADP
ejpam-6602	404	5	lower	low	ADJ
ejpam-6602	404	6	convergence	convergence	NOUN
ejpam-6602	404	7	speed	speed	NOUN
ejpam-6602	404	8	and	and	CCONJ
ejpam-6602	404	9	solution	solution	NOUN
ejpam-6602	404	10	quality	quality	NOUN
ejpam-6602	404	11	due	due	ADP
ejpam-6602	404	12	to	to	ADP
ejpam-6602	404	13	fixed	fix	VERB
ejpam-6602	404	14	parameter	parameter	NOUN
ejpam-6602	404	15	schedules	schedule	NOUN
ejpam-6602	404	16	.	.	PUNCT
ejpam-6602	405	1	removing	remove	VERB
ejpam-6602	405	2	adaptive	adaptive	ADJ
ejpam-6602	405	3	heuristic	heuristic	ADJ
ejpam-6602	405	4	selection	selection	NOUN
ejpam-6602	405	5	reduces	reduce	VERB
ejpam-6602	405	6	the	the	DET
ejpam-6602	405	7	framework	framework	NOUN
ejpam-6602	405	8	’s	’s	PART
ejpam-6602	405	9	responsiveness	responsiveness	NOUN
ejpam-6602	405	10	to	to	ADP
ejpam-6602	405	11	problem	problem	NOUN
ejpam-6602	405	12	-	-	PUNCT
ejpam-6602	405	13	specific	specific	ADJ
ejpam-6602	405	14	search	search	NOUN
ejpam-6602	405	15	dynamics	dynamic	NOUN
ejpam-6602	405	16	.	.	PUNCT
ejpam-6602	406	1	hence	hence	ADV
ejpam-6602	406	2	,	,	PUNCT
ejpam-6602	406	3	their	their	PRON
ejpam-6602	406	4	combination	combination	NOUN
ejpam-6602	406	5	is	be	AUX
ejpam-6602	406	6	essential	essential	ADJ
ejpam-6602	406	7	for	for	ADP
ejpam-6602	406	8	achieving	achieve	VERB
ejpam-6602	406	9	robust	robust	ADJ
ejpam-6602	406	10	and	and	CCONJ
ejpam-6602	406	11	scalable	scalable	ADJ
ejpam-6602	406	12	optimization	optimization	NOUN
ejpam-6602	406	13	performance	performance	NOUN
ejpam-6602	406	14	.	.	PUNCT
ejpam-6602	407	1	k.	k.	PROPN
ejpam-6602	407	2	danach	danach	PROPN
ejpam-6602	407	3	et	et	PROPN
ejpam-6602	407	4	al	al	PROPN
ejpam-6602	407	5	.	.	PUNCT
ejpam-6602	407	6	/	/	SYM
ejpam-6602	407	7	eur	eur	PROPN
ejpam-6602	407	8	.	.	PUNCT
ejpam-6602	408	1	j.	j.	PROPN
ejpam-6602	408	2	pure	pure	PROPN
ejpam-6602	408	3	appl	appl	PROPN
ejpam-6602	408	4	.	.	PROPN
ejpam-6602	408	5	math	math	PROPN
ejpam-6602	408	6	,	,	PUNCT
ejpam-6602	408	7	18	18	NUM
ejpam-6602	408	8	(	(	PUNCT
ejpam-6602	408	9	3	3	NUM
ejpam-6602	408	10	)	)	PUNCT
ejpam-6602	408	11	(	(	PUNCT
ejpam-6602	408	12	2025	2025	NUM
ejpam-6602	408	13	)	)	PUNCT
ejpam-6602	408	14	,	,	PUNCT
ejpam-6602	408	15	6602	6602	NUM
ejpam-6602	408	16	30	30	NUM
ejpam-6602	408	17	of	of	ADP
ejpam-6602	408	18	37	37	NUM
ejpam-6602	408	19	7	7	NUM
ejpam-6602	408	20	.	.	PUNCT
ejpam-6602	409	1	discussion	discussion	NOUN
ejpam-6602	409	2	this	this	DET
ejpam-6602	409	3	section	section	NOUN
ejpam-6602	409	4	provides	provide	VERB
ejpam-6602	409	5	an	an	DET
ejpam-6602	409	6	in	in	ADP
ejpam-6602	409	7	-	-	PUNCT
ejpam-6602	409	8	depth	depth	NOUN
ejpam-6602	409	9	analysis	analysis	NOUN
ejpam-6602	409	10	of	of	ADP
ejpam-6602	409	11	the	the	DET
ejpam-6602	409	12	experimental	experimental	ADJ
ejpam-6602	409	13	findings	finding	NOUN
ejpam-6602	409	14	,	,	PUNCT
ejpam-6602	409	15	highlighting	highlight	VERB
ejpam-6602	409	16	the	the	DET
ejpam-6602	409	17	advantages	advantage	NOUN
ejpam-6602	409	18	and	and	CCONJ
ejpam-6602	409	19	limitations	limitation	NOUN
ejpam-6602	409	20	of	of	ADP
ejpam-6602	409	21	the	the	DET
ejpam-6602	409	22	proposed	propose	VERB
ejpam-6602	409	23	hybrid	hybrid	ADJ
ejpam-6602	409	24	metaheuristic	metaheuristic	ADJ
ejpam-6602	409	25	framework	framework	NOUN
ejpam-6602	409	26	(	(	PUNCT
ejpam-6602	409	27	hmf	hmf	PROPN
ejpam-6602	409	28	)	)	PUNCT
ejpam-6602	409	29	.	.	PUNCT
ejpam-6602	410	1	it	it	PRON
ejpam-6602	410	2	also	also	ADV
ejpam-6602	410	3	discusses	discuss	VERB
ejpam-6602	410	4	the	the	DET
ejpam-6602	410	5	implications	implication	NOUN
ejpam-6602	410	6	of	of	ADP
ejpam-6602	410	7	the	the	DET
ejpam-6602	410	8	results	result	NOUN
ejpam-6602	410	9	in	in	ADP
ejpam-6602	410	10	the	the	DET
ejpam-6602	410	11	broader	broad	ADJ
ejpam-6602	410	12	context	context	NOUN
ejpam-6602	410	13	of	of	ADP
ejpam-6602	410	14	combinatorial	combinatorial	ADJ
ejpam-6602	410	15	optimization	optimization	NOUN
ejpam-6602	410	16	and	and	CCONJ
ejpam-6602	410	17	future	future	ADJ
ejpam-6602	410	18	research	research	NOUN
ejpam-6602	410	19	directions	direction	NOUN
ejpam-6602	410	20	.	.	PUNCT
ejpam-6602	411	1	7.1	7.1	NUM
ejpam-6602	411	2	.	.	PUNCT
ejpam-6602	412	1	analysis	analysis	NOUN
ejpam-6602	412	2	of	of	ADP
ejpam-6602	412	3	key	key	ADJ
ejpam-6602	412	4	findings	finding	NOUN
ejpam-6602	412	5	the	the	DET
ejpam-6602	412	6	experimental	experimental	ADJ
ejpam-6602	412	7	results	result	NOUN
ejpam-6602	412	8	demonstrate	demonstrate	VERB
ejpam-6602	412	9	that	that	SCONJ
ejpam-6602	412	10	the	the	DET
ejpam-6602	412	11	proposed	propose	VERB
ejpam-6602	412	12	hmf	hmf	PROPN
ejpam-6602	412	13	outperforms	outperform	VERB
ejpam-6602	412	14	traditional	traditional	ADJ
ejpam-6602	412	15	metaheuristics	metaheuristic	NOUN
ejpam-6602	412	16	across	across	ADP
ejpam-6602	412	17	multiple	multiple	ADJ
ejpam-6602	412	18	combinatorial	combinatorial	ADJ
ejpam-6602	412	19	optimization	optimization	NOUN
ejpam-6602	412	20	problems	problem	NOUN
ejpam-6602	412	21	.	.	PUNCT
ejpam-6602	413	1	the	the	DET
ejpam-6602	413	2	key	key	ADJ
ejpam-6602	413	3	observations	observation	NOUN
ejpam-6602	413	4	are	be	AUX
ejpam-6602	413	5	:	:	PUNCT
ejpam-6602	413	6	•	•	ADJ
ejpam-6602	413	7	superior	superior	ADJ
ejpam-6602	413	8	solution	solution	NOUN
ejpam-6602	413	9	quality	quality	NOUN
ejpam-6602	413	10	:	:	PUNCT
ejpam-6602	413	11	the	the	DET
ejpam-6602	413	12	proposed	propose	VERB
ejpam-6602	413	13	framework	framework	NOUN
ejpam-6602	413	14	consistently	consistently	ADV
ejpam-6602	413	15	achieved	achieve	VERB
ejpam-6602	413	16	lower	low	ADJ
ejpam-6602	413	17	objective	objective	ADJ
ejpam-6602	413	18	function	function	NOUN
ejpam-6602	413	19	values	value	NOUN
ejpam-6602	413	20	compared	compare	VERB
ejpam-6602	413	21	to	to	ADP
ejpam-6602	413	22	genetic	genetic	ADJ
ejpam-6602	413	23	algorithms	algorithm	NOUN
ejpam-6602	413	24	(	(	PUNCT
ejpam-6602	413	25	ga	ga	NOUN
ejpam-6602	413	26	)	)	PUNCT
ejpam-6602	413	27	,	,	PUNCT
ejpam-6602	413	28	simulated	simulate	VERB
ejpam-6602	413	29	annealing	annealing	NOUN
ejpam-6602	413	30	(	(	PUNCT
ejpam-6602	413	31	sa	sa	NOUN
ejpam-6602	413	32	)	)	PUNCT
ejpam-6602	413	33	,	,	PUNCT
ejpam-6602	413	34	particle	particle	NOUN
ejpam-6602	413	35	swarm	swarm	NOUN
ejpam-6602	413	36	optimization	optimization	NOUN
ejpam-6602	413	37	(	(	PUNCT
ejpam-6602	413	38	pso	pso	NOUN
ejpam-6602	413	39	)	)	PUNCT
ejpam-6602	413	40	,	,	PUNCT
ejpam-6602	413	41	and	and	CCONJ
ejpam-6602	413	42	ant	ant	ADJ
ejpam-6602	413	43	colony	colony	NOUN
ejpam-6602	413	44	optimization	optimization	NOUN
ejpam-6602	413	45	(	(	PUNCT
ejpam-6602	413	46	aco	aco	PROPN
ejpam-6602	413	47	)	)	PUNCT
ejpam-6602	413	48	.	.	PUNCT
ejpam-6602	414	1	this	this	DET
ejpam-6602	414	2	improvement	improvement	NOUN
ejpam-6602	414	3	is	be	AUX
ejpam-6602	414	4	attributed	attribute	VERB
ejpam-6602	414	5	to	to	ADP
ejpam-6602	414	6	the	the	DET
ejpam-6602	414	7	adaptive	adaptive	ADJ
ejpam-6602	414	8	selection	selection	NOUN
ejpam-6602	414	9	of	of	ADP
ejpam-6602	414	10	metaheuristics	metaheuristic	NOUN
ejpam-6602	414	11	,	,	PUNCT
ejpam-6602	414	12	which	which	PRON
ejpam-6602	414	13	optimally	optimally	ADV
ejpam-6602	414	14	balances	balance	VERB
ejpam-6602	414	15	exploration	exploration	NOUN
ejpam-6602	414	16	and	and	CCONJ
ejpam-6602	414	17	exploitation	exploitation	NOUN
ejpam-6602	414	18	.	.	PUNCT
ejpam-6602	415	1	•	•	NUM
ejpam-6602	415	2	faster	fast	ADJ
ejpam-6602	415	3	convergence	convergence	NOUN
ejpam-6602	415	4	speed	speed	NOUN
ejpam-6602	415	5	:	:	PUNCT
ejpam-6602	415	6	the	the	DET
ejpam-6602	415	7	self	self	NOUN
ejpam-6602	415	8	-	-	PUNCT
ejpam-6602	415	9	adaptive	adaptive	ADJ
ejpam-6602	415	10	heuristic	heuristic	ADJ
ejpam-6602	415	11	selection	selection	NOUN
ejpam-6602	415	12	,	,	PUNCT
ejpam-6602	415	13	combined	combine	VERB
ejpam-6602	415	14	with	with	ADP
ejpam-6602	415	15	reinforcement	reinforcement	NOUN
ejpam-6602	415	16	learning	learning	NOUN
ejpam-6602	415	17	-	-	PUNCT
ejpam-6602	415	18	based	base	VERB
ejpam-6602	415	19	parameter	parameter	NOUN
ejpam-6602	415	20	tuning	tuning	NOUN
ejpam-6602	415	21	,	,	PUNCT
ejpam-6602	415	22	significantly	significantly	ADV
ejpam-6602	415	23	reduced	reduce	VERB
ejpam-6602	415	24	convergence	convergence	NOUN
ejpam-6602	415	25	time	time	NOUN
ejpam-6602	415	26	.	.	PUNCT
ejpam-6602	416	1	hmf	hmf	PROPN
ejpam-6602	416	2	achieved	achieve	VERB
ejpam-6602	416	3	an	an	DET
ejpam-6602	416	4	average	average	ADJ
ejpam-6602	416	5	convergence	convergence	NOUN
ejpam-6602	416	6	time	time	NOUN
ejpam-6602	416	7	of	of	ADP
ejpam-6602	416	8	8.3	8.3	NUM
ejpam-6602	416	9	seconds	second	NOUN
ejpam-6602	416	10	,	,	PUNCT
ejpam-6602	416	11	compared	compare	VERB
ejpam-6602	416	12	to	to	ADP
ejpam-6602	416	13	10.9s	10.9s	NUM
ejpam-6602	416	14	for	for	ADP
ejpam-6602	416	15	aco	aco	PROPN
ejpam-6602	416	16	and	and	CCONJ
ejpam-6602	416	17	15.2s	15.2s	NUM
ejpam-6602	416	18	for	for	ADP
ejpam-6602	416	19	ga	ga	PROPN
ejpam-6602	416	20	.	.	PROPN
ejpam-6602	416	21	•	•	NUM
ejpam-6602	416	22	higher	high	ADJ
ejpam-6602	416	23	success	success	NOUN
ejpam-6602	416	24	rate	rate	NOUN
ejpam-6602	416	25	:	:	PUNCT
ejpam-6602	416	26	the	the	DET
ejpam-6602	416	27	success	success	NOUN
ejpam-6602	416	28	rate	rate	NOUN
ejpam-6602	416	29	of	of	ADP
ejpam-6602	416	30	hmf	hmf	PROPN
ejpam-6602	416	31	was	be	AUX
ejpam-6602	416	32	96.8	96.8	NUM
ejpam-6602	416	33	%	%	NOUN
ejpam-6602	416	34	,	,	PUNCT
ejpam-6602	416	35	indicating	indicate	VERB
ejpam-6602	416	36	that	that	SCONJ
ejpam-6602	416	37	it	it	PRON
ejpam-6602	416	38	consistently	consistently	ADV
ejpam-6602	416	39	finds	find	VERB
ejpam-6602	416	40	near	near	ADP
ejpam-6602	416	41	-	-	PUNCT
ejpam-6602	416	42	optimal	optimal	ADJ
ejpam-6602	416	43	solutions	solution	NOUN
ejpam-6602	416	44	across	across	ADP
ejpam-6602	416	45	different	different	ADJ
ejpam-6602	416	46	problem	problem	NOUN
ejpam-6602	416	47	instances	instance	NOUN
ejpam-6602	416	48	,	,	PUNCT
ejpam-6602	416	49	whereas	whereas	SCONJ
ejpam-6602	416	50	traditional	traditional	ADJ
ejpam-6602	416	51	metaheuristics	metaheuristic	NOUN
ejpam-6602	416	52	exhibited	exhibit	VERB
ejpam-6602	416	53	lower	low	ADJ
ejpam-6602	416	54	success	success	NOUN
ejpam-6602	416	55	rates	rate	NOUN
ejpam-6602	416	56	.	.	PUNCT
ejpam-6602	417	1	•	•	NUM
ejpam-6602	417	2	reduced	reduce	VERB
ejpam-6602	417	3	computational	computational	ADJ
ejpam-6602	417	4	cost	cost	NOUN
ejpam-6602	417	5	:	:	PUNCT
ejpam-6602	417	6	despite	despite	SCONJ
ejpam-6602	417	7	incorporating	incorporate	VERB
ejpam-6602	417	8	reinforcement	reinforcement	NOUN
ejpam-6602	417	9	learning	learning	NOUN
ejpam-6602	417	10	,	,	PUNCT
ejpam-6602	417	11	the	the	DET
ejpam-6602	417	12	computational	computational	ADJ
ejpam-6602	417	13	overhead	overhead	NOUN
ejpam-6602	417	14	of	of	ADP
ejpam-6602	417	15	hmf	hmf	PROPN
ejpam-6602	417	16	was	be	AUX
ejpam-6602	417	17	minimized	minimize	VERB
ejpam-6602	417	18	through	through	ADP
ejpam-6602	417	19	parallel	parallel	ADJ
ejpam-6602	417	20	execution	execution	NOUN
ejpam-6602	417	21	.	.	PUNCT
ejpam-6602	418	1	the	the	DET
ejpam-6602	418	2	proposed	propose	VERB
ejpam-6602	418	3	framework	framework	NOUN
ejpam-6602	418	4	achieved	achieve	VERB
ejpam-6602	418	5	a	a	DET
ejpam-6602	418	6	40	40	NUM
ejpam-6602	418	7	%	%	NOUN
ejpam-6602	418	8	reduction	reduction	NOUN
ejpam-6602	418	9	in	in	ADP
ejpam-6602	418	10	cpu	cpu	NOUN
ejpam-6602	418	11	time	time	NOUN
ejpam-6602	418	12	compared	compare	VERB
ejpam-6602	418	13	to	to	ADP
ejpam-6602	418	14	ga	ga	PROPN
ejpam-6602	418	15	.	.	PUNCT
ejpam-6602	419	1	these	these	DET
ejpam-6602	419	2	results	result	NOUN
ejpam-6602	419	3	confirm	confirm	VERB
ejpam-6602	419	4	that	that	SCONJ
ejpam-6602	419	5	integrating	integrate	VERB
ejpam-6602	419	6	reinforcement	reinforcement	NOUN
ejpam-6602	419	7	learning	learning	NOUN
ejpam-6602	419	8	into	into	ADP
ejpam-6602	419	9	metaheuristic	metaheuristic	ADJ
ejpam-6602	419	10	optimization	optimization	NOUN
ejpam-6602	419	11	significantly	significantly	ADV
ejpam-6602	419	12	improves	improve	VERB
ejpam-6602	419	13	solution	solution	NOUN
ejpam-6602	419	14	quality	quality	NOUN
ejpam-6602	419	15	,	,	PUNCT
ejpam-6602	419	16	adaptability	adaptability	NOUN
ejpam-6602	419	17	,	,	PUNCT
ejpam-6602	419	18	and	and	CCONJ
ejpam-6602	419	19	computational	computational	ADJ
ejpam-6602	419	20	efficiency	efficiency	NOUN
ejpam-6602	419	21	.	.	PUNCT
ejpam-6602	420	1	7.2	7.2	NUM
ejpam-6602	420	2	.	.	PUNCT
ejpam-6602	420	3	comparison	comparison	NOUN
ejpam-6602	420	4	with	with	ADP
ejpam-6602	420	5	existing	exist	VERB
ejpam-6602	420	6	methods	method	NOUN
ejpam-6602	420	7	table	table	NOUN
ejpam-6602	420	8	6	6	NUM
ejpam-6602	420	9	summarizes	summarize	NOUN
ejpam-6602	420	10	how	how	SCONJ
ejpam-6602	420	11	hmf	hmf	PROPN
ejpam-6602	420	12	compares	compare	VERB
ejpam-6602	420	13	with	with	ADP
ejpam-6602	420	14	existing	exist	VERB
ejpam-6602	420	15	metaheuristic	metaheuristic	ADJ
ejpam-6602	420	16	approaches	approach	NOUN
ejpam-6602	420	17	.	.	PUNCT
ejpam-6602	421	1	table	table	NOUN
ejpam-6602	421	2	6	6	NUM
ejpam-6602	421	3	:	:	PUNCT
ejpam-6602	421	4	comparison	comparison	NOUN
ejpam-6602	421	5	of	of	ADP
ejpam-6602	421	6	hmf	hmf	PROPN
ejpam-6602	421	7	with	with	ADP
ejpam-6602	421	8	traditional	traditional	ADJ
ejpam-6602	421	9	metaheuristics	metaheuristic	NOUN
ejpam-6602	421	10	approach	approach	NOUN
ejpam-6602	421	11	solution	solution	NOUN
ejpam-6602	421	12	quality	quality	NOUN
ejpam-6602	421	13	conv	conv	ADJ
ejpam-6602	421	14	.	.	PUNCT
ejpam-6602	422	1	speed	speed	NOUN
ejpam-6602	422	2	success	success	NOUN
ejpam-6602	422	3	rate	rate	NOUN
ejpam-6602	422	4	computational	computational	ADJ
ejpam-6602	422	5	cost	cost	NOUN
ejpam-6602	422	6	ga	ga	PROPN
ejpam-6602	422	7	moderate	moderate	ADJ
ejpam-6602	422	8	slow	slow	ADJ
ejpam-6602	422	9	low	low	ADJ
ejpam-6602	422	10	high	high	ADJ
ejpam-6602	422	11	sa	sa	PROPN
ejpam-6602	422	12	moderate	moderate	ADJ
ejpam-6602	422	13	medium	medium	ADJ
ejpam-6602	422	14	moderate	moderate	ADJ
ejpam-6602	422	15	high	high	ADJ
ejpam-6602	422	16	pso	pso	NOUN
ejpam-6602	422	17	high	high	ADJ
ejpam-6602	422	18	fast	fast	ADJ
ejpam-6602	422	19	high	high	ADJ
ejpam-6602	422	20	medium	medium	PROPN
ejpam-6602	422	21	aco	aco	PROPN
ejpam-6602	422	22	high	high	ADV
ejpam-6602	422	23	fast	fast	VERB
ejpam-6602	422	24	very	very	ADV
ejpam-6602	422	25	high	high	ADJ
ejpam-6602	422	26	medium	medium	NOUN
ejpam-6602	422	27	hmf	hmf	NOUN
ejpam-6602	422	28	(	(	PUNCT
ejpam-6602	422	29	proposed	propose	VERB
ejpam-6602	422	30	)	)	PUNCT
ejpam-6602	422	31	very	very	ADV
ejpam-6602	422	32	high	high	ADJ
ejpam-6602	422	33	very	very	ADV
ejpam-6602	422	34	fast	fast	ADV
ejpam-6602	422	35	highest	high	ADJ
ejpam-6602	422	36	low	low	ADJ
ejpam-6602	422	37	k.	k.	PROPN
ejpam-6602	422	38	danach	danach	PROPN
ejpam-6602	422	39	et	et	PROPN
ejpam-6602	423	1	al	al	PROPN
ejpam-6602	423	2	.	.	PUNCT
ejpam-6602	423	3	/	/	SYM
ejpam-6602	423	4	eur	eur	PROPN
ejpam-6602	423	5	.	.	PUNCT
ejpam-6602	424	1	j.	j.	PROPN
ejpam-6602	424	2	pure	pure	PROPN
ejpam-6602	424	3	appl	appl	PROPN
ejpam-6602	424	4	.	.	PROPN
ejpam-6602	424	5	math	math	PROPN
ejpam-6602	424	6	,	,	PUNCT
ejpam-6602	424	7	18	18	NUM
ejpam-6602	424	8	(	(	PUNCT
ejpam-6602	424	9	3	3	NUM
ejpam-6602	424	10	)	)	PUNCT
ejpam-6602	424	11	(	(	PUNCT
ejpam-6602	424	12	2025	2025	NUM
ejpam-6602	424	13	)	)	PUNCT
ejpam-6602	424	14	,	,	PUNCT
ejpam-6602	424	15	6602	6602	NUM
ejpam-6602	424	16	31	31	NUM
ejpam-6602	424	17	of	of	ADP
ejpam-6602	424	18	37	37	NUM
ejpam-6602	424	19	7.3	7.3	NUM
ejpam-6602	424	20	.	.	PUNCT
ejpam-6602	425	1	advantages	advantage	NOUN
ejpam-6602	425	2	of	of	ADP
ejpam-6602	425	3	the	the	DET
ejpam-6602	425	4	proposed	propose	VERB
ejpam-6602	425	5	framework	framework	NOUN
ejpam-6602	425	6	the	the	DET
ejpam-6602	425	7	results	result	NOUN
ejpam-6602	425	8	validate	validate	VERB
ejpam-6602	425	9	several	several	ADJ
ejpam-6602	425	10	advantages	advantage	NOUN
ejpam-6602	425	11	of	of	ADP
ejpam-6602	425	12	the	the	DET
ejpam-6602	425	13	proposed	propose	VERB
ejpam-6602	425	14	hmf	hmf	PROPN
ejpam-6602	425	15	:	:	PUNCT
ejpam-6602	425	16	•	•	NUM
ejpam-6602	425	17	dynamic	dynamic	ADJ
ejpam-6602	425	18	adaptation	adaptation	NOUN
ejpam-6602	425	19	:	:	PUNCT
ejpam-6602	425	20	unlike	unlike	ADP
ejpam-6602	425	21	traditional	traditional	ADJ
ejpam-6602	425	22	metaheuristics	metaheuristic	NOUN
ejpam-6602	425	23	with	with	ADP
ejpam-6602	425	24	static	static	ADJ
ejpam-6602	425	25	configurations	configuration	NOUN
ejpam-6602	425	26	,	,	PUNCT
ejpam-6602	425	27	hmf	hmf	PROPN
ejpam-6602	425	28	dynamically	dynamically	ADV
ejpam-6602	425	29	selects	select	VERB
ejpam-6602	425	30	the	the	DET
ejpam-6602	425	31	most	most	ADV
ejpam-6602	425	32	effective	effective	ADJ
ejpam-6602	425	33	heuristic	heuristic	NOUN
ejpam-6602	425	34	at	at	ADP
ejpam-6602	425	35	each	each	DET
ejpam-6602	425	36	iteration	iteration	NOUN
ejpam-6602	425	37	,	,	PUNCT
ejpam-6602	425	38	leading	lead	VERB
ejpam-6602	425	39	to	to	ADP
ejpam-6602	425	40	improved	improved	ADJ
ejpam-6602	425	41	convergence	convergence	NOUN
ejpam-6602	425	42	.	.	PUNCT
ejpam-6602	426	1	•	•	NUM
ejpam-6602	426	2	parameter	parameter	NOUN
ejpam-6602	426	3	self	self	NOUN
ejpam-6602	426	4	-	-	PUNCT
ejpam-6602	426	5	tuning	tuning	NOUN
ejpam-6602	426	6	:	:	PUNCT
ejpam-6602	426	7	the	the	DET
ejpam-6602	426	8	use	use	NOUN
ejpam-6602	426	9	of	of	ADP
ejpam-6602	426	10	reinforcement	reinforcement	NOUN
ejpam-6602	426	11	learning	learning	NOUN
ejpam-6602	426	12	eliminates	eliminate	VERB
ejpam-6602	426	13	the	the	DET
ejpam-6602	426	14	need	need	NOUN
ejpam-6602	426	15	for	for	ADP
ejpam-6602	426	16	extensive	extensive	ADJ
ejpam-6602	426	17	manual	manual	ADJ
ejpam-6602	426	18	parameter	parameter	NOUN
ejpam-6602	426	19	tuning	tuning	NOUN
ejpam-6602	426	20	,	,	PUNCT
ejpam-6602	426	21	making	make	VERB
ejpam-6602	426	22	the	the	DET
ejpam-6602	426	23	approach	approach	NOUN
ejpam-6602	426	24	more	more	ADV
ejpam-6602	426	25	adaptable	adaptable	ADJ
ejpam-6602	426	26	to	to	ADP
ejpam-6602	426	27	different	different	ADJ
ejpam-6602	426	28	problem	problem	NOUN
ejpam-6602	426	29	domains	domain	NOUN
ejpam-6602	426	30	.	.	PUNCT
ejpam-6602	427	1	•	•	NUM
ejpam-6602	427	2	scalability	scalability	NOUN
ejpam-6602	427	3	:	:	PUNCT
ejpam-6602	427	4	the	the	DET
ejpam-6602	427	5	parallel	parallel	ADJ
ejpam-6602	427	6	execution	execution	NOUN
ejpam-6602	427	7	of	of	ADP
ejpam-6602	427	8	metaheuristics	metaheuristic	NOUN
ejpam-6602	427	9	ensures	ensure	VERB
ejpam-6602	427	10	that	that	SCONJ
ejpam-6602	427	11	hmf	hmf	PROPN
ejpam-6602	427	12	maintains	maintain	VERB
ejpam-6602	427	13	efficiency	efficiency	NOUN
ejpam-6602	427	14	even	even	ADV
ejpam-6602	427	15	for	for	ADP
ejpam-6602	427	16	large	large	ADJ
ejpam-6602	427	17	-	-	PUNCT
ejpam-6602	427	18	scale	scale	NOUN
ejpam-6602	427	19	optimization	optimization	NOUN
ejpam-6602	427	20	problems	problem	NOUN
ejpam-6602	427	21	.	.	PUNCT
ejpam-6602	428	1	7.4	7.4	NUM
ejpam-6602	428	2	.	.	PUNCT
ejpam-6602	428	3	limitations	limitation	NOUN
ejpam-6602	428	4	and	and	CCONJ
ejpam-6602	428	5	challenges	challenge	NOUN
ejpam-6602	428	6	despite	despite	SCONJ
ejpam-6602	428	7	its	its	PRON
ejpam-6602	428	8	advantages	advantage	NOUN
ejpam-6602	428	9	,	,	PUNCT
ejpam-6602	428	10	hmf	hmf	PROPN
ejpam-6602	428	11	has	have	VERB
ejpam-6602	428	12	some	some	DET
ejpam-6602	428	13	limitations	limitation	NOUN
ejpam-6602	428	14	:	:	PUNCT
ejpam-6602	428	15	•	•	NUM
ejpam-6602	428	16	computational	computational	ADJ
ejpam-6602	428	17	overhead	overhead	NOUN
ejpam-6602	428	18	of	of	ADP
ejpam-6602	428	19	reinforcement	reinforcement	NOUN
ejpam-6602	428	20	learning	learning	NOUN
ejpam-6602	428	21	:	:	PUNCT
ejpam-6602	428	22	although	although	SCONJ
ejpam-6602	428	23	rl	rl	PROPN
ejpam-6602	428	24	improves	improve	VERB
ejpam-6602	428	25	optimization	optimization	NOUN
ejpam-6602	428	26	quality	quality	NOUN
ejpam-6602	428	27	,	,	PUNCT
ejpam-6602	428	28	it	it	PRON
ejpam-6602	428	29	introduces	introduce	VERB
ejpam-6602	428	30	additional	additional	ADJ
ejpam-6602	428	31	computation	computation	NOUN
ejpam-6602	428	32	.	.	PUNCT
ejpam-6602	429	1	however	however	ADV
ejpam-6602	429	2	,	,	PUNCT
ejpam-6602	429	3	this	this	DET
ejpam-6602	429	4	cost	cost	NOUN
ejpam-6602	429	5	is	be	AUX
ejpam-6602	429	6	mitigated	mitigate	VERB
ejpam-6602	429	7	through	through	ADP
ejpam-6602	429	8	parallel	parallel	ADJ
ejpam-6602	429	9	processing	processing	NOUN
ejpam-6602	429	10	.	.	PUNCT
ejpam-6602	430	1	•	•	NUM
ejpam-6602	430	2	complexity	complexity	NOUN
ejpam-6602	430	3	of	of	ADP
ejpam-6602	430	4	implementation	implementation	NOUN
ejpam-6602	430	5	:	:	PUNCT
ejpam-6602	430	6	the	the	DET
ejpam-6602	430	7	hybrid	hybrid	ADJ
ejpam-6602	430	8	nature	nature	NOUN
ejpam-6602	430	9	of	of	ADP
ejpam-6602	430	10	hmf	hmf	PROPN
ejpam-6602	430	11	requires	require	VERB
ejpam-6602	430	12	careful	careful	ADJ
ejpam-6602	430	13	integration	integration	NOUN
ejpam-6602	430	14	of	of	ADP
ejpam-6602	430	15	multiple	multiple	ADJ
ejpam-6602	430	16	metaheuristics	metaheuristic	NOUN
ejpam-6602	430	17	and	and	CCONJ
ejpam-6602	430	18	reinforcement	reinforcement	NOUN
ejpam-6602	430	19	learning	learning	NOUN
ejpam-6602	430	20	,	,	PUNCT
ejpam-6602	430	21	which	which	PRON
ejpam-6602	430	22	may	may	AUX
ejpam-6602	430	23	increase	increase	VERB
ejpam-6602	430	24	the	the	DET
ejpam-6602	430	25	complexity	complexity	NOUN
ejpam-6602	430	26	of	of	ADP
ejpam-6602	430	27	deployment	deployment	NOUN
ejpam-6602	430	28	.	.	PUNCT
ejpam-6602	431	1	•	•	NUM
ejpam-6602	431	2	hyperparameter	hyperparameter	NOUN
ejpam-6602	431	3	sensitivity	sensitivity	NOUN
ejpam-6602	431	4	:	:	PUNCT
ejpam-6602	431	5	while	while	SCONJ
ejpam-6602	431	6	hmf	hmf	PROPN
ejpam-6602	431	7	self	self	NOUN
ejpam-6602	431	8	-	-	PUNCT
ejpam-6602	431	9	adjusts	adjust	VERB
ejpam-6602	431	10	parameters	parameter	NOUN
ejpam-6602	431	11	dynamically	dynamically	ADV
ejpam-6602	431	12	,	,	PUNCT
ejpam-6602	431	13	the	the	DET
ejpam-6602	431	14	reinforcement	reinforcement	NOUN
ejpam-6602	431	15	learning	learning	NOUN
ejpam-6602	431	16	mechanism	mechanism	NOUN
ejpam-6602	431	17	itself	itself	PRON
ejpam-6602	431	18	relies	rely	VERB
ejpam-6602	431	19	on	on	ADP
ejpam-6602	431	20	hyperparameters	hyperparameter	NOUN
ejpam-6602	431	21	(	(	PUNCT
ejpam-6602	431	22	learning	learning	NOUN
ejpam-6602	431	23	rate	rate	NOUN
ejpam-6602	431	24	,	,	PUNCT
ejpam-6602	431	25	discount	discount	NOUN
ejpam-6602	431	26	factor	factor	NOUN
ejpam-6602	431	27	)	)	PUNCT
ejpam-6602	431	28	that	that	PRON
ejpam-6602	431	29	may	may	AUX
ejpam-6602	431	30	need	need	VERB
ejpam-6602	431	31	tuning	tuning	NOUN
ejpam-6602	431	32	.	.	PUNCT
ejpam-6602	432	1	7.5	7.5	NUM
ejpam-6602	432	2	.	.	PUNCT
ejpam-6602	433	1	practical	practical	ADJ
ejpam-6602	433	2	implications	implication	NOUN
ejpam-6602	433	3	the	the	DET
ejpam-6602	433	4	proposed	propose	VERB
ejpam-6602	433	5	framework	framework	NOUN
ejpam-6602	433	6	has	have	VERB
ejpam-6602	433	7	significant	significant	ADJ
ejpam-6602	433	8	implications	implication	NOUN
ejpam-6602	433	9	for	for	ADP
ejpam-6602	433	10	real	real	ADJ
ejpam-6602	433	11	-	-	PUNCT
ejpam-6602	433	12	world	world	NOUN
ejpam-6602	433	13	optimization	optimization	NOUN
ejpam-6602	433	14	problems	problem	NOUN
ejpam-6602	433	15	:	:	PUNCT
ejpam-6602	433	16	•	•	NUM
ejpam-6602	433	17	supply	supply	NOUN
ejpam-6602	433	18	chain	chain	NOUN
ejpam-6602	433	19	and	and	CCONJ
ejpam-6602	433	20	logistics	logistic	NOUN
ejpam-6602	433	21	:	:	PUNCT
ejpam-6602	433	22	hmf	hmf	PROPN
ejpam-6602	433	23	can	can	AUX
ejpam-6602	433	24	optimize	optimize	VERB
ejpam-6602	433	25	delivery	delivery	NOUN
ejpam-6602	433	26	routes	route	NOUN
ejpam-6602	433	27	in	in	ADP
ejpam-6602	433	28	dynamic	dynamic	ADJ
ejpam-6602	433	29	environments	environment	NOUN
ejpam-6602	433	30	,	,	PUNCT
ejpam-6602	433	31	outperforming	outperform	VERB
ejpam-6602	433	32	traditional	traditional	ADJ
ejpam-6602	433	33	vehicle	vehicle	NOUN
ejpam-6602	433	34	routing	routing	NOUN
ejpam-6602	433	35	approaches	approach	NOUN
ejpam-6602	433	36	.	.	PUNCT
ejpam-6602	434	1	•	•	NUM
ejpam-6602	434	2	industrial	industrial	ADJ
ejpam-6602	434	3	scheduling	scheduling	NOUN
ejpam-6602	434	4	:	:	PUNCT
ejpam-6602	434	5	the	the	DET
ejpam-6602	434	6	self	self	NOUN
ejpam-6602	434	7	-	-	PUNCT
ejpam-6602	434	8	adaptive	adaptive	ADJ
ejpam-6602	434	9	nature	nature	NOUN
ejpam-6602	434	10	of	of	ADP
ejpam-6602	434	11	hmf	hmf	PROPN
ejpam-6602	434	12	allows	allow	VERB
ejpam-6602	434	13	it	it	PRON
ejpam-6602	434	14	to	to	PART
ejpam-6602	434	15	efficiently	efficiently	ADV
ejpam-6602	434	16	schedule	schedule	VERB
ejpam-6602	434	17	manufacturing	manufacturing	NOUN
ejpam-6602	434	18	tasks	task	NOUN
ejpam-6602	434	19	,	,	PUNCT
ejpam-6602	434	20	reducing	reduce	VERB
ejpam-6602	434	21	delays	delay	NOUN
ejpam-6602	434	22	and	and	CCONJ
ejpam-6602	434	23	improving	improve	VERB
ejpam-6602	434	24	resource	resource	NOUN
ejpam-6602	434	25	utilization	utilization	NOUN
ejpam-6602	434	26	.	.	PUNCT
ejpam-6602	435	1	•	•	NUM
ejpam-6602	435	2	healthcare	healthcare	NOUN
ejpam-6602	435	3	optimization	optimization	NOUN
ejpam-6602	435	4	:	:	PUNCT
ejpam-6602	435	5	the	the	DET
ejpam-6602	435	6	framework	framework	NOUN
ejpam-6602	435	7	can	can	AUX
ejpam-6602	435	8	be	be	AUX
ejpam-6602	435	9	applied	apply	VERB
ejpam-6602	435	10	to	to	ADP
ejpam-6602	435	11	hospital	hospital	NOUN
ejpam-6602	435	12	resource	resource	NOUN
ejpam-6602	435	13	allocation	allocation	NOUN
ejpam-6602	435	14	and	and	CCONJ
ejpam-6602	435	15	patient	patient	ADJ
ejpam-6602	435	16	scheduling	scheduling	NOUN
ejpam-6602	435	17	,	,	PUNCT
ejpam-6602	435	18	optimizing	optimize	VERB
ejpam-6602	435	19	healthcare	healthcare	NOUN
ejpam-6602	435	20	operations	operation	NOUN
ejpam-6602	435	21	.	.	PUNCT
ejpam-6602	436	1	•	•	NUM
ejpam-6602	436	2	smart	smart	ADJ
ejpam-6602	436	3	cities	city	NOUN
ejpam-6602	436	4	and	and	CCONJ
ejpam-6602	436	5	iot	iot	PROPN
ejpam-6602	436	6	optimization	optimization	NOUN
ejpam-6602	436	7	:	:	PUNCT
ejpam-6602	436	8	hmf	hmf	PROPN
ejpam-6602	436	9	can	can	AUX
ejpam-6602	436	10	enhance	enhance	VERB
ejpam-6602	436	11	traffic	traffic	NOUN
ejpam-6602	436	12	flow	flow	NOUN
ejpam-6602	436	13	optimization	optimization	NOUN
ejpam-6602	436	14	and	and	CCONJ
ejpam-6602	436	15	network	network	NOUN
ejpam-6602	436	16	resource	resource	NOUN
ejpam-6602	436	17	management	management	NOUN
ejpam-6602	436	18	in	in	ADP
ejpam-6602	436	19	large	large	ADJ
ejpam-6602	436	20	-	-	PUNCT
ejpam-6602	436	21	scale	scale	NOUN
ejpam-6602	436	22	smart	smart	ADJ
ejpam-6602	436	23	city	city	NOUN
ejpam-6602	436	24	applications	application	NOUN
ejpam-6602	436	25	.	.	PUNCT
ejpam-6602	437	1	k.	k.	PROPN
ejpam-6602	437	2	danach	danach	PROPN
ejpam-6602	437	3	et	et	PROPN
ejpam-6602	437	4	al	al	PROPN
ejpam-6602	437	5	.	.	PUNCT
ejpam-6602	437	6	/	/	SYM
ejpam-6602	437	7	eur	eur	PROPN
ejpam-6602	437	8	.	.	PUNCT
ejpam-6602	438	1	j.	j.	PROPN
ejpam-6602	438	2	pure	pure	PROPN
ejpam-6602	438	3	appl	appl	PROPN
ejpam-6602	438	4	.	.	PROPN
ejpam-6602	438	5	math	math	PROPN
ejpam-6602	438	6	,	,	PUNCT
ejpam-6602	438	7	18	18	NUM
ejpam-6602	438	8	(	(	PUNCT
ejpam-6602	438	9	3	3	NUM
ejpam-6602	438	10	)	)	PUNCT
ejpam-6602	438	11	(	(	PUNCT
ejpam-6602	438	12	2025	2025	NUM
ejpam-6602	438	13	)	)	PUNCT
ejpam-6602	438	14	,	,	PUNCT
ejpam-6602	438	15	6602	6602	NUM
ejpam-6602	438	16	32	32	NUM
ejpam-6602	438	17	of	of	ADP
ejpam-6602	438	18	37	37	NUM
ejpam-6602	438	19	7.6	7.6	NUM
ejpam-6602	438	20	.	.	PUNCT
ejpam-6602	439	1	future	future	ADJ
ejpam-6602	439	2	research	research	NOUN
ejpam-6602	439	3	directions	direction	NOUN
ejpam-6602	439	4	to	to	PART
ejpam-6602	439	5	further	far	ADV
ejpam-6602	439	6	enhance	enhance	VERB
ejpam-6602	439	7	the	the	DET
ejpam-6602	439	8	proposed	propose	VERB
ejpam-6602	439	9	approach	approach	NOUN
ejpam-6602	439	10	,	,	PUNCT
ejpam-6602	439	11	future	future	ADJ
ejpam-6602	439	12	research	research	NOUN
ejpam-6602	439	13	will	will	AUX
ejpam-6602	439	14	explore	explore	VERB
ejpam-6602	439	15	:	:	PUNCT
ejpam-6602	439	16	•	•	NUM
ejpam-6602	439	17	hybridization	hybridization	NOUN
ejpam-6602	439	18	with	with	ADP
ejpam-6602	439	19	deep	deep	ADJ
ejpam-6602	439	20	learning	learning	NOUN
ejpam-6602	439	21	:	:	PUNCT
ejpam-6602	439	22	integrating	integrate	VERB
ejpam-6602	439	23	deep	deep	ADJ
ejpam-6602	439	24	neural	neural	ADJ
ejpam-6602	439	25	networks	network	NOUN
ejpam-6602	439	26	to	to	PART
ejpam-6602	439	27	predict	predict	VERB
ejpam-6602	439	28	optimal	optimal	ADJ
ejpam-6602	439	29	heuristic	heuristic	ADJ
ejpam-6602	439	30	strategies	strategy	NOUN
ejpam-6602	439	31	based	base	VERB
ejpam-6602	439	32	on	on	ADP
ejpam-6602	439	33	past	past	ADJ
ejpam-6602	439	34	optimization	optimization	NOUN
ejpam-6602	439	35	performance	performance	NOUN
ejpam-6602	439	36	.	.	PUNCT
ejpam-6602	440	1	•	•	NUM
ejpam-6602	440	2	generalization	generalization	NOUN
ejpam-6602	440	3	to	to	ADP
ejpam-6602	440	4	dynamic	dynamic	ADJ
ejpam-6602	440	5	optimization	optimization	NOUN
ejpam-6602	440	6	problems	problem	NOUN
ejpam-6602	440	7	:	:	PUNCT
ejpam-6602	440	8	adapting	adapt	VERB
ejpam-6602	440	9	hmf	hmf	PROPN
ejpam-6602	440	10	to	to	ADP
ejpam-6602	440	11	problems	problem	NOUN
ejpam-6602	440	12	where	where	SCONJ
ejpam-6602	440	13	constraints	constraint	NOUN
ejpam-6602	440	14	and	and	CCONJ
ejpam-6602	440	15	objectives	objective	NOUN
ejpam-6602	440	16	change	change	VERB
ejpam-6602	440	17	over	over	ADP
ejpam-6602	440	18	time	time	NOUN
ejpam-6602	440	19	.	.	PUNCT
ejpam-6602	441	1	•	•	NUM
ejpam-6602	441	2	edge	edge	NOUN
ejpam-6602	441	3	and	and	CCONJ
ejpam-6602	441	4	cloud	cloud	NOUN
ejpam-6602	441	5	-	-	PUNCT
ejpam-6602	441	6	based	base	VERB
ejpam-6602	441	7	implementations	implementation	NOUN
ejpam-6602	441	8	:	:	PUNCT
ejpam-6602	441	9	deploying	deploy	VERB
ejpam-6602	441	10	hmf	hmf	NOUN
ejpam-6602	441	11	in	in	ADP
ejpam-6602	441	12	distributed	distribute	VERB
ejpam-6602	441	13	computing	compute	VERB
ejpam-6602	441	14	environments	environment	NOUN
ejpam-6602	441	15	to	to	PART
ejpam-6602	441	16	solve	solve	VERB
ejpam-6602	441	17	large	large	ADJ
ejpam-6602	441	18	-	-	PUNCT
ejpam-6602	441	19	scale	scale	NOUN
ejpam-6602	441	20	optimization	optimization	NOUN
ejpam-6602	441	21	tasks	task	NOUN
ejpam-6602	441	22	more	more	ADV
ejpam-6602	441	23	efficiently	efficiently	ADV
ejpam-6602	441	24	.	.	PUNCT
ejpam-6602	442	1	7.7	7.7	X
ejpam-6602	442	2	.	.	PUNCT
ejpam-6602	442	3	summary	summary	NOUN
ejpam-6602	442	4	of	of	ADP
ejpam-6602	442	5	findings	finding	NOUN
ejpam-6602	442	6	table	table	NOUN
ejpam-6602	442	7	7	7	NUM
ejpam-6602	442	8	summarizes	summarize	NOUN
ejpam-6602	442	9	the	the	DET
ejpam-6602	442	10	key	key	ADJ
ejpam-6602	442	11	outcomes	outcome	NOUN
ejpam-6602	442	12	of	of	ADP
ejpam-6602	442	13	this	this	DET
ejpam-6602	442	14	study	study	NOUN
ejpam-6602	442	15	.	.	PUNCT
ejpam-6602	443	1	table	table	NOUN
ejpam-6602	443	2	7	7	NUM
ejpam-6602	443	3	:	:	PUNCT
ejpam-6602	443	4	summary	summary	NOUN
ejpam-6602	443	5	of	of	ADP
ejpam-6602	443	6	key	key	ADJ
ejpam-6602	443	7	findings	finding	NOUN
ejpam-6602	443	8	metric	metric	PROPN
ejpam-6602	443	9	hmf	hmf	PROPN
ejpam-6602	443	10	(	(	PUNCT
ejpam-6602	443	11	proposed	propose	VERB
ejpam-6602	443	12	)	)	PUNCT
ejpam-6602	443	13	best	well	ADV
ejpam-6602	443	14	traditional	traditional	ADJ
ejpam-6602	443	15	best	good	ADJ
ejpam-6602	443	16	solution	solution	NOUN
ejpam-6602	443	17	quality	quality	NOUN
ejpam-6602	443	18	398.2	398.2	NUM
ejpam-6602	443	19	(	(	PUNCT
ejpam-6602	443	20	optimal	optimal	ADJ
ejpam-6602	443	21	)	)	PUNCT
ejpam-6602	443	22	420.5	420.5	NUM
ejpam-6602	443	23	(	(	PUNCT
ejpam-6602	443	24	aco	aco	PROPN
ejpam-6602	443	25	)	)	PUNCT
ejpam-6602	443	26	average	average	ADJ
ejpam-6602	443	27	convergence	convergence	NOUN
ejpam-6602	443	28	time	time	NOUN
ejpam-6602	443	29	8.3s	8.3s	NUM
ejpam-6602	443	30	10.9s	10.9s	NUM
ejpam-6602	443	31	(	(	PUNCT
ejpam-6602	443	32	aco	aco	PROPN
ejpam-6602	443	33	)	)	PUNCT
ejpam-6602	443	34	success	success	NOUN
ejpam-6602	443	35	rate	rate	NOUN
ejpam-6602	443	36	96.8	96.8	NUM
ejpam-6602	443	37	%	%	NOUN
ejpam-6602	443	38	92.5	92.5	NUM
ejpam-6602	443	39	%	%	NOUN
ejpam-6602	443	40	(	(	PUNCT
ejpam-6602	443	41	aco	aco	PROPN
ejpam-6602	443	42	)	)	PUNCT
ejpam-6602	443	43	computational	computational	ADJ
ejpam-6602	443	44	cost	cost	NOUN
ejpam-6602	443	45	190	190	NUM
ejpam-6602	443	46	cpu	cpu	NOUN
ejpam-6602	443	47	sec	sec	PROPN
ejpam-6602	443	48	230	230	NUM
ejpam-6602	443	49	cpu	cpu	NOUN
ejpam-6602	443	50	sec	sec	PROPN
ejpam-6602	443	51	(	(	PUNCT
ejpam-6602	443	52	aco	aco	PROPN
ejpam-6602	443	53	)	)	PUNCT
ejpam-6602	443	54	7.8	7.8	NUM
ejpam-6602	443	55	.	.	PUNCT
ejpam-6602	444	1	practical	practical	ADJ
ejpam-6602	444	2	implementation	implementation	NOUN
ejpam-6602	444	3	considerations	consideration	NOUN
ejpam-6602	444	4	the	the	DET
ejpam-6602	444	5	proposed	propose	VERB
ejpam-6602	444	6	hybrid	hybrid	ADJ
ejpam-6602	444	7	metaheuristic	metaheuristic	ADJ
ejpam-6602	444	8	framework	framework	NOUN
ejpam-6602	444	9	(	(	PUNCT
ejpam-6602	444	10	hmf	hmf	PROPN
ejpam-6602	444	11	)	)	PUNCT
ejpam-6602	444	12	is	be	AUX
ejpam-6602	444	13	designed	design	VERB
ejpam-6602	444	14	to	to	PART
ejpam-6602	444	15	be	be	AUX
ejpam-6602	444	16	applicable	applicable	ADJ
ejpam-6602	444	17	across	across	ADP
ejpam-6602	444	18	various	various	ADJ
ejpam-6602	444	19	real	real	ADJ
ejpam-6602	444	20	-	-	PUNCT
ejpam-6602	444	21	life	life	NOUN
ejpam-6602	444	22	domains	domain	NOUN
ejpam-6602	444	23	such	such	ADJ
ejpam-6602	444	24	as	as	ADP
ejpam-6602	444	25	transportation	transportation	NOUN
ejpam-6602	444	26	logistics	logistic	NOUN
ejpam-6602	444	27	,	,	PUNCT
ejpam-6602	444	28	industrial	industrial	ADJ
ejpam-6602	444	29	scheduling	scheduling	NOUN
ejpam-6602	444	30	,	,	PUNCT
ejpam-6602	444	31	healthcare	healthcare	NOUN
ejpam-6602	444	32	operations	operation	NOUN
ejpam-6602	444	33	,	,	PUNCT
ejpam-6602	444	34	and	and	CCONJ
ejpam-6602	444	35	smart	smart	ADJ
ejpam-6602	444	36	city	city	NOUN
ejpam-6602	444	37	infrastructure	infrastructure	NOUN
ejpam-6602	444	38	.	.	PUNCT
ejpam-6602	445	1	its	its	PRON
ejpam-6602	445	2	deployment	deployment	NOUN
ejpam-6602	445	3	involves	involve	VERB
ejpam-6602	445	4	the	the	DET
ejpam-6602	445	5	following	follow	VERB
ejpam-6602	445	6	key	key	ADJ
ejpam-6602	445	7	steps	step	NOUN
ejpam-6602	445	8	:	:	PUNCT
ejpam-6602	445	9	•	•	NUM
ejpam-6602	445	10	system	system	NOUN
ejpam-6602	445	11	integration	integration	NOUN
ejpam-6602	445	12	:	:	PUNCT
ejpam-6602	445	13	the	the	DET
ejpam-6602	445	14	framework	framework	NOUN
ejpam-6602	445	15	can	can	AUX
ejpam-6602	445	16	be	be	AUX
ejpam-6602	445	17	deployed	deploy	VERB
ejpam-6602	445	18	as	as	ADP
ejpam-6602	445	19	a	a	DET
ejpam-6602	445	20	modular	modular	ADJ
ejpam-6602	445	21	python	python	NOUN
ejpam-6602	445	22	-	-	PUNCT
ejpam-6602	445	23	based	base	VERB
ejpam-6602	445	24	backend	backend	NOUN
ejpam-6602	445	25	service	service	NOUN
ejpam-6602	445	26	integrated	integrate	VERB
ejpam-6602	445	27	into	into	ADP
ejpam-6602	445	28	enterprise	enterprise	NOUN
ejpam-6602	445	29	resource	resource	NOUN
ejpam-6602	445	30	planning	planning	NOUN
ejpam-6602	445	31	(	(	PUNCT
ejpam-6602	445	32	erp	erp	NOUN
ejpam-6602	445	33	)	)	PUNCT
ejpam-6602	445	34	systems	system	NOUN
ejpam-6602	445	35	,	,	PUNCT
ejpam-6602	445	36	cloudbased	cloudbase	VERB
ejpam-6602	445	37	scheduling	scheduling	NOUN
ejpam-6602	445	38	platforms	platform	NOUN
ejpam-6602	445	39	,	,	PUNCT
ejpam-6602	445	40	or	or	CCONJ
ejpam-6602	445	41	logistics	logistic	NOUN
ejpam-6602	445	42	management	management	NOUN
ejpam-6602	445	43	systems	system	NOUN
ejpam-6602	445	44	via	via	ADP
ejpam-6602	445	45	restful	restful	ADJ
ejpam-6602	445	46	apis	apis	PROPN
ejpam-6602	445	47	.	.	PUNCT
ejpam-6602	446	1	•	•	NUM
ejpam-6602	446	2	data	datum	NOUN
ejpam-6602	446	3	ingestion	ingestion	NOUN
ejpam-6602	446	4	:	:	PUNCT
ejpam-6602	446	5	input	input	NOUN
ejpam-6602	446	6	data	datum	NOUN
ejpam-6602	446	7	such	such	ADJ
ejpam-6602	446	8	as	as	ADP
ejpam-6602	446	9	delivery	delivery	NOUN
ejpam-6602	446	10	points	point	NOUN
ejpam-6602	446	11	,	,	PUNCT
ejpam-6602	446	12	facility	facility	NOUN
ejpam-6602	446	13	locations	location	NOUN
ejpam-6602	446	14	,	,	PUNCT
ejpam-6602	446	15	machine	machine	NOUN
ejpam-6602	446	16	-	-	PUNCT
ejpam-6602	446	17	task	task	NOUN
ejpam-6602	446	18	sequences	sequence	NOUN
ejpam-6602	446	19	,	,	PUNCT
ejpam-6602	446	20	or	or	CCONJ
ejpam-6602	446	21	patient	patient	ADJ
ejpam-6602	446	22	schedules	schedule	NOUN
ejpam-6602	446	23	can	can	AUX
ejpam-6602	446	24	be	be	AUX
ejpam-6602	446	25	ingested	ingest	VERB
ejpam-6602	446	26	in	in	ADP
ejpam-6602	446	27	structured	structured	ADJ
ejpam-6602	446	28	formats	format	NOUN
ejpam-6602	446	29	(	(	PUNCT
ejpam-6602	446	30	csv	csv	INTJ
ejpam-6602	446	31	,	,	PUNCT
ejpam-6602	446	32	json	json	NOUN
ejpam-6602	446	33	,	,	PUNCT
ejpam-6602	446	34	or	or	CCONJ
ejpam-6602	446	35	sql	sql	NOUN
ejpam-6602	446	36	-	-	PUNCT
ejpam-6602	446	37	connected	connect	VERB
ejpam-6602	446	38	data	datum	NOUN
ejpam-6602	446	39	stores	store	NOUN
ejpam-6602	446	40	)	)	PUNCT
ejpam-6602	446	41	through	through	ADP
ejpam-6602	446	42	a	a	DET
ejpam-6602	446	43	preprocessing	preprocessing	NOUN
ejpam-6602	446	44	module	module	NOUN
ejpam-6602	446	45	.	.	PUNCT
ejpam-6602	447	1	•	•	NUM
ejpam-6602	447	2	computing	computing	NOUN
ejpam-6602	447	3	requirements	requirement	NOUN
ejpam-6602	447	4	:	:	PUNCT
ejpam-6602	447	5	a	a	DET
ejpam-6602	447	6	parallel	parallel	ADJ
ejpam-6602	447	7	execution	execution	NOUN
ejpam-6602	447	8	environment	environment	NOUN
ejpam-6602	447	9	is	be	AUX
ejpam-6602	447	10	recommended	recommend	VERB
ejpam-6602	447	11	,	,	PUNCT
ejpam-6602	447	12	such	such	ADJ
ejpam-6602	447	13	as	as	ADP
ejpam-6602	447	14	a	a	DET
ejpam-6602	447	15	high	high	ADJ
ejpam-6602	447	16	-	-	PUNCT
ejpam-6602	447	17	performance	performance	NOUN
ejpam-6602	447	18	cluster	cluster	NOUN
ejpam-6602	447	19	(	(	PUNCT
ejpam-6602	447	20	hpc	hpc	NOUN
ejpam-6602	447	21	)	)	PUNCT
ejpam-6602	447	22	or	or	CCONJ
ejpam-6602	447	23	cloud	cloud	NOUN
ejpam-6602	447	24	infrastructure	infrastructure	NOUN
ejpam-6602	447	25	(	(	PUNCT
ejpam-6602	447	26	e.g.	e.g.	ADV
ejpam-6602	447	27	,	,	PUNCT
ejpam-6602	447	28	aws	aws	PROPN
ejpam-6602	447	29	ec2	ec2	PROPN
ejpam-6602	447	30	or	or	CCONJ
ejpam-6602	447	31	azure	azure	ADJ
ejpam-6602	447	32	batch	batch	NOUN
ejpam-6602	447	33	)	)	PUNCT
ejpam-6602	447	34	with	with	ADP
ejpam-6602	447	35	multi	multi	ADJ
ejpam-6602	447	36	-	-	ADJ
ejpam-6602	447	37	core	core	ADJ
ejpam-6602	447	38	cpus	cpu	NOUN
ejpam-6602	447	39	or	or	CCONJ
ejpam-6602	447	40	gpus	gpu	NOUN
ejpam-6602	447	41	to	to	PART
ejpam-6602	447	42	exploit	exploit	VERB
ejpam-6602	447	43	mpi	mpi	ADJ
ejpam-6602	447	44	-	-	PUNCT
ejpam-6602	447	45	based	base	VERB
ejpam-6602	447	46	parallelism	parallelism	NOUN
ejpam-6602	447	47	.	.	PUNCT
ejpam-6602	448	1	•	•	NUM
ejpam-6602	448	2	customization	customization	NOUN
ejpam-6602	448	3	:	:	PUNCT
ejpam-6602	448	4	domain	domain	NOUN
ejpam-6602	448	5	-	-	PUNCT
ejpam-6602	448	6	specific	specific	ADJ
ejpam-6602	448	7	constraints	constraint	NOUN
ejpam-6602	448	8	(	(	PUNCT
ejpam-6602	448	9	e.g.	e.g.	ADV
ejpam-6602	448	10	,	,	PUNCT
ejpam-6602	448	11	time	time	NOUN
ejpam-6602	448	12	windows	window	NOUN
ejpam-6602	448	13	,	,	PUNCT
ejpam-6602	448	14	resource	resource	NOUN
ejpam-6602	448	15	limitations	limitation	NOUN
ejpam-6602	448	16	,	,	PUNCT
ejpam-6602	448	17	task	task	NOUN
ejpam-6602	448	18	dependencies	dependency	NOUN
ejpam-6602	448	19	)	)	PUNCT
ejpam-6602	448	20	are	be	AUX
ejpam-6602	448	21	incorporated	incorporate	VERB
ejpam-6602	448	22	via	via	ADP
ejpam-6602	448	23	modular	modular	ADJ
ejpam-6602	448	24	plug	plug	NOUN
ejpam-6602	448	25	-	-	PUNCT
ejpam-6602	448	26	ins	in	NOUN
ejpam-6602	448	27	that	that	PRON
ejpam-6602	448	28	adapt	adapt	VERB
ejpam-6602	448	29	the	the	DET
ejpam-6602	448	30	encoding	encoding	NOUN
ejpam-6602	448	31	and	and	CCONJ
ejpam-6602	448	32	decoding	decode	VERB
ejpam-6602	448	33	phases	phase	NOUN
ejpam-6602	448	34	of	of	ADP
ejpam-6602	448	35	each	each	DET
ejpam-6602	448	36	metaheuristic	metaheuristic	NOUN
ejpam-6602	448	37	.	.	PUNCT
ejpam-6602	449	1	k.	k.	PROPN
ejpam-6602	449	2	danach	danach	PROPN
ejpam-6602	449	3	et	et	PROPN
ejpam-6602	449	4	al	al	PROPN
ejpam-6602	449	5	.	.	PUNCT
ejpam-6602	449	6	/	/	SYM
ejpam-6602	449	7	eur	eur	PROPN
ejpam-6602	449	8	.	.	PUNCT
ejpam-6602	450	1	j.	j.	PROPN
ejpam-6602	450	2	pure	pure	PROPN
ejpam-6602	450	3	appl	appl	PROPN
ejpam-6602	450	4	.	.	PROPN
ejpam-6602	450	5	math	math	PROPN
ejpam-6602	450	6	,	,	PUNCT
ejpam-6602	450	7	18	18	NUM
ejpam-6602	450	8	(	(	PUNCT
ejpam-6602	450	9	3	3	NUM
ejpam-6602	450	10	)	)	PUNCT
ejpam-6602	450	11	(	(	PUNCT
ejpam-6602	450	12	2025	2025	NUM
ejpam-6602	450	13	)	)	PUNCT
ejpam-6602	450	14	,	,	PUNCT
ejpam-6602	450	15	6602	6602	NUM
ejpam-6602	450	16	33	33	NUM
ejpam-6602	450	17	of	of	ADP
ejpam-6602	450	18	37	37	NUM
ejpam-6602	450	19	•	•	NOUN
ejpam-6602	450	20	monitoring	monitoring	NOUN
ejpam-6602	450	21	and	and	CCONJ
ejpam-6602	450	22	learning	learning	NOUN
ejpam-6602	450	23	:	:	PUNCT
ejpam-6602	450	24	a	a	DET
ejpam-6602	450	25	monitoring	monitoring	NOUN
ejpam-6602	450	26	module	module	NOUN
ejpam-6602	450	27	tracks	track	NOUN
ejpam-6602	450	28	performance	performance	NOUN
ejpam-6602	450	29	(	(	PUNCT
ejpam-6602	450	30	solution	solution	NOUN
ejpam-6602	450	31	quality	quality	NOUN
ejpam-6602	450	32	,	,	PUNCT
ejpam-6602	450	33	time	time	NOUN
ejpam-6602	450	34	,	,	PUNCT
ejpam-6602	450	35	convergence	convergence	NOUN
ejpam-6602	450	36	)	)	PUNCT
ejpam-6602	450	37	,	,	PUNCT
ejpam-6602	450	38	while	while	SCONJ
ejpam-6602	450	39	the	the	DET
ejpam-6602	450	40	reinforcement	reinforcement	NOUN
ejpam-6602	450	41	learning	learning	NOUN
ejpam-6602	450	42	controller	controller	NOUN
ejpam-6602	450	43	improves	improve	VERB
ejpam-6602	450	44	over	over	ADP
ejpam-6602	450	45	time	time	NOUN
ejpam-6602	450	46	by	by	ADP
ejpam-6602	450	47	retaining	retain	VERB
ejpam-6602	450	48	a	a	DET
ejpam-6602	450	49	history	history	NOUN
ejpam-6602	450	50	of	of	ADP
ejpam-6602	450	51	actions	action	NOUN
ejpam-6602	450	52	and	and	CCONJ
ejpam-6602	450	53	outcomes	outcome	NOUN
ejpam-6602	450	54	for	for	ADP
ejpam-6602	450	55	similar	similar	ADJ
ejpam-6602	450	56	problem	problem	NOUN
ejpam-6602	450	57	classes	class	NOUN
ejpam-6602	450	58	.	.	PUNCT
ejpam-6602	451	1	•	•	NUM
ejpam-6602	451	2	decision	decision	NOUN
ejpam-6602	451	3	support	support	NOUN
ejpam-6602	451	4	:	:	PUNCT
ejpam-6602	451	5	final	final	ADJ
ejpam-6602	451	6	outputs	output	NOUN
ejpam-6602	451	7	(	(	PUNCT
ejpam-6602	451	8	e.g.	e.g.	ADV
ejpam-6602	451	9	,	,	PUNCT
ejpam-6602	451	10	optimized	optimize	VERB
ejpam-6602	451	11	schedules	schedule	NOUN
ejpam-6602	451	12	or	or	CCONJ
ejpam-6602	451	13	routes	route	NOUN
ejpam-6602	451	14	)	)	PUNCT
ejpam-6602	451	15	are	be	AUX
ejpam-6602	451	16	returned	return	VERB
ejpam-6602	451	17	to	to	ADP
ejpam-6602	451	18	the	the	DET
ejpam-6602	451	19	front	front	ADJ
ejpam-6602	451	20	-	-	PUNCT
ejpam-6602	451	21	end	end	NOUN
ejpam-6602	451	22	dashboard	dashboard	NOUN
ejpam-6602	451	23	or	or	CCONJ
ejpam-6602	451	24	decision	decision	NOUN
ejpam-6602	451	25	support	support	NOUN
ejpam-6602	451	26	interface	interface	NOUN
ejpam-6602	451	27	for	for	ADP
ejpam-6602	451	28	real	real	ADJ
ejpam-6602	451	29	-	-	PUNCT
ejpam-6602	451	30	time	time	NOUN
ejpam-6602	451	31	or	or	CCONJ
ejpam-6602	451	32	near	near	ADJ
ejpam-6602	451	33	-	-	PUNCT
ejpam-6602	451	34	realtime	realtime	NOUN
ejpam-6602	451	35	deployment	deployment	NOUN
ejpam-6602	451	36	.	.	PUNCT
ejpam-6602	452	1	these	these	DET
ejpam-6602	452	2	technical	technical	ADJ
ejpam-6602	452	3	specifications	specification	NOUN
ejpam-6602	452	4	enable	enable	VERB
ejpam-6602	452	5	real	real	ADJ
ejpam-6602	452	6	-	-	PUNCT
ejpam-6602	452	7	world	world	NOUN
ejpam-6602	452	8	deployment	deployment	NOUN
ejpam-6602	452	9	without	without	ADP
ejpam-6602	452	10	requiring	require	VERB
ejpam-6602	452	11	substantial	substantial	ADJ
ejpam-6602	452	12	architectural	architectural	ADJ
ejpam-6602	452	13	overhauls	overhaul	NOUN
ejpam-6602	452	14	,	,	PUNCT
ejpam-6602	452	15	making	make	VERB
ejpam-6602	452	16	the	the	DET
ejpam-6602	452	17	hmf	hmf	NOUN
ejpam-6602	452	18	suitable	suitable	ADJ
ejpam-6602	452	19	for	for	ADP
ejpam-6602	452	20	industry	industry	NOUN
ejpam-6602	452	21	-	-	PUNCT
ejpam-6602	452	22	grade	grade	NOUN
ejpam-6602	452	23	decision	decision	NOUN
ejpam-6602	452	24	-	-	PUNCT
ejpam-6602	452	25	making	make	VERB
ejpam-6602	452	26	systems	system	NOUN
ejpam-6602	452	27	.	.	PUNCT
ejpam-6602	453	1	the	the	DET
ejpam-6602	453	2	hmf	hmf	PROPN
ejpam-6602	453	3	framework	framework	NOUN
ejpam-6602	453	4	relies	rely	VERB
ejpam-6602	453	5	on	on	ADP
ejpam-6602	453	6	several	several	ADJ
ejpam-6602	453	7	threshold	threshold	NOUN
ejpam-6602	453	8	-	-	PUNCT
ejpam-6602	453	9	based	base	VERB
ejpam-6602	453	10	mechanisms	mechanism	NOUN
ejpam-6602	453	11	—	—	PUNCT
ejpam-6602	453	12	such	such	ADJ
ejpam-6602	453	13	as	as	ADP
ejpam-6602	453	14	convergence	convergence	NOUN
ejpam-6602	453	15	stagnation	stagnation	NOUN
ejpam-6602	453	16	detection	detection	NOUN
ejpam-6602	453	17	,	,	PUNCT
ejpam-6602	453	18	reward	reward	VERB
ejpam-6602	453	19	scaling	scaling	NOUN
ejpam-6602	453	20	,	,	PUNCT
ejpam-6602	453	21	and	and	CCONJ
ejpam-6602	453	22	exploration	exploration	NOUN
ejpam-6602	453	23	bonus	bonus	NOUN
ejpam-6602	453	24	weighting	weighting	NOUN
ejpam-6602	453	25	—	—	PUNCT
ejpam-6602	453	26	that	that	PRON
ejpam-6602	453	27	were	be	AUX
ejpam-6602	453	28	initially	initially	ADV
ejpam-6602	453	29	tuned	tune	VERB
ejpam-6602	453	30	during	during	ADP
ejpam-6602	453	31	simulation	simulation	NOUN
ejpam-6602	453	32	.	.	PUNCT
ejpam-6602	454	1	in	in	ADP
ejpam-6602	454	2	practical	practical	ADJ
ejpam-6602	454	3	deployments	deployment	NOUN
ejpam-6602	454	4	,	,	PUNCT
ejpam-6602	454	5	these	these	DET
ejpam-6602	454	6	thresholds	threshold	NOUN
ejpam-6602	454	7	can	can	AUX
ejpam-6602	454	8	be	be	AUX
ejpam-6602	454	9	set	set	VERB
ejpam-6602	454	10	through	through	ADP
ejpam-6602	454	11	one	one	NUM
ejpam-6602	454	12	of	of	ADP
ejpam-6602	454	13	three	three	NUM
ejpam-6602	454	14	methods	method	NOUN
ejpam-6602	454	15	:	:	PUNCT
ejpam-6602	454	16	(	(	PUNCT
ejpam-6602	454	17	1	1	X
ejpam-6602	454	18	)	)	PUNCT
ejpam-6602	454	19	using	use	VERB
ejpam-6602	454	20	historical	historical	ADJ
ejpam-6602	454	21	data	datum	NOUN
ejpam-6602	454	22	from	from	ADP
ejpam-6602	454	23	the	the	DET
ejpam-6602	454	24	operational	operational	ADJ
ejpam-6602	454	25	environment	environment	NOUN
ejpam-6602	454	26	(	(	PUNCT
ejpam-6602	454	27	e.g.	e.g.	ADV
ejpam-6602	454	28	,	,	PUNCT
ejpam-6602	454	29	past	past	ADJ
ejpam-6602	454	30	delivery	delivery	NOUN
ejpam-6602	454	31	or	or	CCONJ
ejpam-6602	454	32	scheduling	scheduling	NOUN
ejpam-6602	454	33	performance	performance	NOUN
ejpam-6602	454	34	)	)	PUNCT
ejpam-6602	454	35	;	;	PUNCT
ejpam-6602	454	36	(	(	PUNCT
ejpam-6602	454	37	2	2	X
ejpam-6602	454	38	)	)	PUNCT
ejpam-6602	454	39	conducting	conduct	VERB
ejpam-6602	454	40	a	a	DET
ejpam-6602	454	41	short	short	ADJ
ejpam-6602	454	42	pre	pre	ADJ
ejpam-6602	454	43	-	-	ADJ
ejpam-6602	454	44	deployment	deployment	ADJ
ejpam-6602	454	45	warm	warm	ADJ
ejpam-6602	454	46	-	-	PUNCT
ejpam-6602	454	47	up	up	ADP
ejpam-6602	454	48	phase	phase	NOUN
ejpam-6602	454	49	that	that	PRON
ejpam-6602	454	50	automatically	automatically	ADV
ejpam-6602	454	51	calibrates	calibrate	VERB
ejpam-6602	454	52	values	value	NOUN
ejpam-6602	454	53	based	base	VERB
ejpam-6602	454	54	on	on	ADP
ejpam-6602	454	55	early	early	ADJ
ejpam-6602	454	56	-	-	PUNCT
ejpam-6602	454	57	stage	stage	NOUN
ejpam-6602	454	58	feedback	feedback	NOUN
ejpam-6602	454	59	;	;	PUNCT
ejpam-6602	454	60	or	or	CCONJ
ejpam-6602	454	61	(	(	PUNCT
ejpam-6602	454	62	3	3	X
ejpam-6602	454	63	)	)	PUNCT
ejpam-6602	454	64	applying	apply	VERB
ejpam-6602	454	65	automated	automate	VERB
ejpam-6602	454	66	hyperparameter	hyperparameter	NOUN
ejpam-6602	454	67	tuning	tuning	NOUN
ejpam-6602	454	68	methods	method	NOUN
ejpam-6602	454	69	like	like	ADP
ejpam-6602	454	70	grid	grid	NOUN
ejpam-6602	454	71	search	search	NOUN
ejpam-6602	454	72	or	or	CCONJ
ejpam-6602	454	73	bayesian	bayesian	NOUN
ejpam-6602	454	74	optimization	optimization	NOUN
ejpam-6602	454	75	on	on	ADP
ejpam-6602	454	76	a	a	DET
ejpam-6602	454	77	sampled	sample	VERB
ejpam-6602	454	78	subset	subset	NOUN
ejpam-6602	454	79	of	of	ADP
ejpam-6602	454	80	real	real	ADJ
ejpam-6602	454	81	instances	instance	NOUN
ejpam-6602	454	82	.	.	PUNCT
ejpam-6602	455	1	these	these	DET
ejpam-6602	455	2	approaches	approach	NOUN
ejpam-6602	455	3	help	help	VERB
ejpam-6602	455	4	ensure	ensure	VERB
ejpam-6602	455	5	that	that	SCONJ
ejpam-6602	455	6	thresholds	threshold	NOUN
ejpam-6602	455	7	are	be	AUX
ejpam-6602	455	8	not	not	PART
ejpam-6602	455	9	arbitrarily	arbitrarily	ADV
ejpam-6602	455	10	set	set	VERB
ejpam-6602	455	11	,	,	PUNCT
ejpam-6602	455	12	but	but	CCONJ
ejpam-6602	455	13	are	be	AUX
ejpam-6602	455	14	instead	instead	ADV
ejpam-6602	455	15	informed	inform	VERB
ejpam-6602	455	16	by	by	ADP
ejpam-6602	455	17	the	the	DET
ejpam-6602	455	18	domain	domain	NOUN
ejpam-6602	455	19	-	-	PUNCT
ejpam-6602	455	20	specific	specific	ADJ
ejpam-6602	455	21	operational	operational	ADJ
ejpam-6602	455	22	context	context	NOUN
ejpam-6602	455	23	,	,	PUNCT
ejpam-6602	455	24	enhancing	enhance	VERB
ejpam-6602	455	25	both	both	DET
ejpam-6602	455	26	reliability	reliability	NOUN
ejpam-6602	455	27	and	and	CCONJ
ejpam-6602	455	28	adaptability	adaptability	NOUN
ejpam-6602	455	29	in	in	ADP
ejpam-6602	455	30	field	field	NOUN
ejpam-6602	455	31	conditions	condition	NOUN
ejpam-6602	455	32	.	.	PUNCT
ejpam-6602	456	1	8	8	X
ejpam-6602	456	2	.	.	X
ejpam-6602	456	3	conclusion	conclusion	NOUN
ejpam-6602	456	4	this	this	DET
ejpam-6602	456	5	paper	paper	NOUN
ejpam-6602	456	6	proposed	propose	VERB
ejpam-6602	456	7	a	a	DET
ejpam-6602	456	8	novel	novel	ADJ
ejpam-6602	456	9	hybrid	hybrid	ADJ
ejpam-6602	456	10	metaheuristic	metaheuristic	ADJ
ejpam-6602	456	11	framework	framework	NOUN
ejpam-6602	456	12	(	(	PUNCT
ejpam-6602	456	13	hmf	hmf	PROPN
ejpam-6602	456	14	)	)	PUNCT
ejpam-6602	456	15	that	that	PRON
ejpam-6602	456	16	integrates	integrate	VERB
ejpam-6602	456	17	self	self	NOUN
ejpam-6602	456	18	-	-	PUNCT
ejpam-6602	456	19	adaptive	adaptive	ADJ
ejpam-6602	456	20	heuristic	heuristic	ADJ
ejpam-6602	456	21	selection	selection	NOUN
ejpam-6602	456	22	,	,	PUNCT
ejpam-6602	456	23	reinforcement	reinforcement	NOUN
ejpam-6602	456	24	learning	learning	NOUN
ejpam-6602	456	25	-	-	PUNCT
ejpam-6602	456	26	based	base	VERB
ejpam-6602	456	27	parameter	parameter	NOUN
ejpam-6602	456	28	tuning	tuning	NOUN
ejpam-6602	456	29	,	,	PUNCT
ejpam-6602	456	30	and	and	CCONJ
ejpam-6602	456	31	parallel	parallel	ADJ
ejpam-6602	456	32	computing	computing	NOUN
ejpam-6602	456	33	to	to	PART
ejpam-6602	456	34	enhance	enhance	VERB
ejpam-6602	456	35	the	the	DET
ejpam-6602	456	36	efficiency	efficiency	NOUN
ejpam-6602	456	37	and	and	CCONJ
ejpam-6602	456	38	robustness	robustness	NOUN
ejpam-6602	456	39	of	of	ADP
ejpam-6602	456	40	solving	solve	VERB
ejpam-6602	456	41	large	large	ADJ
ejpam-6602	456	42	-	-	PUNCT
ejpam-6602	456	43	scale	scale	NOUN
ejpam-6602	456	44	combinatorial	combinatorial	ADJ
ejpam-6602	456	45	optimization	optimization	NOUN
ejpam-6602	456	46	problems	problem	NOUN
ejpam-6602	456	47	.	.	PUNCT
ejpam-6602	457	1	the	the	DET
ejpam-6602	457	2	experimental	experimental	ADJ
ejpam-6602	457	3	results	result	NOUN
ejpam-6602	457	4	demonstrated	demonstrate	VERB
ejpam-6602	457	5	that	that	SCONJ
ejpam-6602	457	6	hmf	hmf	NOUN
ejpam-6602	457	7	consistently	consistently	ADV
ejpam-6602	457	8	outperforms	outperform	VERB
ejpam-6602	457	9	traditional	traditional	ADJ
ejpam-6602	457	10	metaheuristics	metaheuristic	NOUN
ejpam-6602	457	11	,	,	PUNCT
ejpam-6602	457	12	including	include	VERB
ejpam-6602	457	13	genetic	genetic	ADJ
ejpam-6602	457	14	algorithms	algorithm	NOUN
ejpam-6602	457	15	,	,	PUNCT
ejpam-6602	457	16	simulated	simulated	ADJ
ejpam-6602	457	17	annealing	annealing	NOUN
ejpam-6602	457	18	,	,	PUNCT
ejpam-6602	457	19	particle	particle	NOUN
ejpam-6602	457	20	swarm	swarm	NOUN
ejpam-6602	457	21	optimization	optimization	NOUN
ejpam-6602	457	22	,	,	PUNCT
ejpam-6602	457	23	and	and	CCONJ
ejpam-6602	457	24	ant	ant	ADJ
ejpam-6602	457	25	colony	colony	NOUN
ejpam-6602	457	26	optimization	optimization	NOUN
ejpam-6602	457	27	,	,	PUNCT
ejpam-6602	457	28	in	in	ADP
ejpam-6602	457	29	terms	term	NOUN
ejpam-6602	457	30	of	of	ADP
ejpam-6602	457	31	solution	solution	NOUN
ejpam-6602	457	32	quality	quality	NOUN
ejpam-6602	457	33	,	,	PUNCT
ejpam-6602	457	34	convergence	convergence	NOUN
ejpam-6602	457	35	speed	speed	NOUN
ejpam-6602	457	36	,	,	PUNCT
ejpam-6602	457	37	success	success	NOUN
ejpam-6602	457	38	rate	rate	NOUN
ejpam-6602	457	39	,	,	PUNCT
ejpam-6602	457	40	and	and	CCONJ
ejpam-6602	457	41	computational	computational	ADJ
ejpam-6602	457	42	cost	cost	NOUN
ejpam-6602	457	43	.	.	PUNCT
ejpam-6602	458	1	in	in	ADP
ejpam-6602	458	2	addition	addition	NOUN
ejpam-6602	458	3	to	to	ADP
ejpam-6602	458	4	aggregated	aggregate	VERB
ejpam-6602	458	5	metrics	metric	NOUN
ejpam-6602	458	6	,	,	PUNCT
ejpam-6602	458	7	per	per	ADP
ejpam-6602	458	8	-	-	PUNCT
ejpam-6602	458	9	problem	problem	NOUN
ejpam-6602	458	10	convergence	convergence	NOUN
ejpam-6602	458	11	curves	curve	NOUN
ejpam-6602	458	12	for	for	ADP
ejpam-6602	458	13	vrp	vrp	PROPN
ejpam-6602	458	14	,	,	PUNCT
ejpam-6602	458	15	flp	flp	PROPN
ejpam-6602	458	16	,	,	PUNCT
ejpam-6602	458	17	and	and	CCONJ
ejpam-6602	458	18	jsp	jsp	PROPN
ejpam-6602	458	19	confirm	confirm	VERB
ejpam-6602	458	20	the	the	DET
ejpam-6602	458	21	consistent	consistent	ADJ
ejpam-6602	458	22	superiority	superiority	NOUN
ejpam-6602	458	23	of	of	ADP
ejpam-6602	458	24	hmf	hmf	NOUN
ejpam-6602	458	25	across	across	ADP
ejpam-6602	458	26	diverse	diverse	ADJ
ejpam-6602	458	27	problem	problem	NOUN
ejpam-6602	458	28	types.a	types.a	NOUN
ejpam-6602	458	29	runtime	runtime	NOUN
ejpam-6602	458	30	distribution	distribution	NOUN
ejpam-6602	458	31	analysis	analysis	NOUN
ejpam-6602	458	32	further	further	ADJ
ejpam-6602	458	33	highlights	highlight	VERB
ejpam-6602	458	34	the	the	DET
ejpam-6602	458	35	stability	stability	NOUN
ejpam-6602	458	36	of	of	ADP
ejpam-6602	458	37	hmf	hmf	PROPN
ejpam-6602	458	38	,	,	PUNCT
ejpam-6602	458	39	showing	show	VERB
ejpam-6602	458	40	not	not	PART
ejpam-6602	458	41	only	only	ADV
ejpam-6602	458	42	the	the	DET
ejpam-6602	458	43	lowest	low	ADJ
ejpam-6602	458	44	median	median	ADJ
ejpam-6602	458	45	computational	computational	ADJ
ejpam-6602	458	46	cost	cost	NOUN
ejpam-6602	458	47	but	but	CCONJ
ejpam-6602	458	48	also	also	ADV
ejpam-6602	458	49	the	the	DET
ejpam-6602	458	50	lowest	low	ADJ
ejpam-6602	458	51	variance	variance	NOUN
ejpam-6602	458	52	across	across	ADP
ejpam-6602	458	53	50	50	NUM
ejpam-6602	458	54	independent	independent	ADJ
ejpam-6602	458	55	runs	run	NOUN
ejpam-6602	458	56	.	.	PUNCT
ejpam-6602	459	1	the	the	DET
ejpam-6602	459	2	statistical	statistical	ADJ
ejpam-6602	459	3	analysis	analysis	NOUN
ejpam-6602	459	4	confirmed	confirm	VERB
ejpam-6602	459	5	the	the	DET
ejpam-6602	459	6	significance	significance	NOUN
ejpam-6602	459	7	of	of	ADP
ejpam-6602	459	8	the	the	DET
ejpam-6602	459	9	observed	observed	ADJ
ejpam-6602	459	10	improvements	improvement	NOUN
ejpam-6602	459	11	,	,	PUNCT
ejpam-6602	459	12	with	with	ADP
ejpam-6602	459	13	wilcoxon	wilcoxon	ADJ
ejpam-6602	459	14	signed	sign	VERB
ejpam-6602	459	15	-	-	PUNCT
ejpam-6602	459	16	rank	rank	NOUN
ejpam-6602	459	17	tests	test	NOUN
ejpam-6602	459	18	and	and	CCONJ
ejpam-6602	459	19	effect	effect	NOUN
ejpam-6602	459	20	size	size	NOUN
ejpam-6602	459	21	measures	measure	NOUN
ejpam-6602	459	22	indicating	indicate	VERB
ejpam-6602	459	23	medium	medium	ADJ
ejpam-6602	459	24	to	to	ADP
ejpam-6602	459	25	large	large	ADJ
ejpam-6602	459	26	gains	gain	NOUN
ejpam-6602	459	27	over	over	ADP
ejpam-6602	459	28	baseline	baseline	ADJ
ejpam-6602	459	29	algorithms	algorithm	NOUN
ejpam-6602	459	30	.	.	PUNCT
ejpam-6602	460	1	scalability	scalability	NOUN
ejpam-6602	460	2	tests	test	NOUN
ejpam-6602	460	3	validated	validate	VERB
ejpam-6602	460	4	the	the	DET
ejpam-6602	460	5	framework	framework	NOUN
ejpam-6602	460	6	’s	’s	PART
ejpam-6602	460	7	applicability	applicability	NOUN
ejpam-6602	460	8	to	to	ADP
ejpam-6602	460	9	increasingly	increasingly	ADV
ejpam-6602	460	10	complex	complex	ADJ
ejpam-6602	460	11	optimization	optimization	NOUN
ejpam-6602	460	12	problems	problem	NOUN
ejpam-6602	460	13	.	.	PUNCT
ejpam-6602	461	1	despite	despite	SCONJ
ejpam-6602	461	2	minor	minor	ADJ
ejpam-6602	461	3	computational	computational	ADJ
ejpam-6602	461	4	overhead	overhead	NOUN
ejpam-6602	461	5	from	from	ADP
ejpam-6602	461	6	reinforcement	reinforcement	NOUN
ejpam-6602	461	7	learning	learning	NOUN
ejpam-6602	461	8	,	,	PUNCT
ejpam-6602	461	9	the	the	DET
ejpam-6602	461	10	trade	trade	NOUN
ejpam-6602	461	11	-	-	PUNCT
ejpam-6602	461	12	off	off	NOUN
ejpam-6602	461	13	is	be	AUX
ejpam-6602	461	14	justified	justify	VERB
ejpam-6602	461	15	by	by	ADP
ejpam-6602	461	16	the	the	DET
ejpam-6602	461	17	enhanced	enhanced	ADJ
ejpam-6602	461	18	adaptability	adaptability	NOUN
ejpam-6602	461	19	and	and	CCONJ
ejpam-6602	461	20	superior	superior	ADJ
ejpam-6602	461	21	performance	performance	NOUN
ejpam-6602	461	22	.	.	PUNCT
ejpam-6602	462	1	the	the	DET
ejpam-6602	462	2	proposed	propose	VERB
ejpam-6602	462	3	approach	approach	NOUN
ejpam-6602	462	4	is	be	AUX
ejpam-6602	462	5	highly	highly	ADV
ejpam-6602	462	6	applicable	applicable	ADJ
ejpam-6602	462	7	to	to	ADP
ejpam-6602	462	8	real	real	ADJ
ejpam-6602	462	9	-	-	PUNCT
ejpam-6602	462	10	world	world	NOUN
ejpam-6602	462	11	domains	domain	NOUN
ejpam-6602	462	12	such	such	ADJ
ejpam-6602	462	13	as	as	ADP
ejpam-6602	462	14	supply	supply	NOUN
ejpam-6602	462	15	chain	chain	NOUN
ejpam-6602	462	16	logistics	logistic	NOUN
ejpam-6602	462	17	,	,	PUNCT
ejpam-6602	462	18	industrial	industrial	ADJ
ejpam-6602	462	19	scheduling	scheduling	NOUN
ejpam-6602	462	20	,	,	PUNCT
ejpam-6602	462	21	healthcare	healthcare	NOUN
ejpam-6602	462	22	resource	resource	NOUN
ejpam-6602	462	23	allocation	allocation	NOUN
ejpam-6602	462	24	,	,	PUNCT
ejpam-6602	462	25	and	and	CCONJ
ejpam-6602	462	26	smart	smart	ADJ
ejpam-6602	462	27	city	city	NOUN
ejpam-6602	462	28	optimization	optimization	NOUN
ejpam-6602	462	29	.	.	PUNCT
ejpam-6602	463	1	future	future	ADJ
ejpam-6602	463	2	research	research	NOUN
ejpam-6602	463	3	will	will	AUX
ejpam-6602	463	4	focus	focus	VERB
ejpam-6602	463	5	on	on	ADP
ejpam-6602	463	6	integrating	integrate	VERB
ejpam-6602	463	7	deep	deep	ADJ
ejpam-6602	463	8	learning	learning	NOUN
ejpam-6602	463	9	techniques	technique	NOUN
ejpam-6602	463	10	for	for	ADP
ejpam-6602	463	11	heuristic	heuristic	ADJ
ejpam-6602	463	12	selection	selection	NOUN
ejpam-6602	463	13	,	,	PUNCT
ejpam-6602	463	14	expanding	expand	VERB
ejpam-6602	463	15	the	the	DET
ejpam-6602	463	16	framework	framework	NOUN
ejpam-6602	463	17	to	to	ADP
ejpam-6602	463	18	dynamic	dynamic	ADJ
ejpam-6602	463	19	optimization	optimization	NOUN
ejpam-6602	463	20	scenarios	scenario	NOUN
ejpam-6602	463	21	,	,	PUNCT
ejpam-6602	463	22	and	and	CCONJ
ejpam-6602	463	23	implementing	implement	VERB
ejpam-6602	463	24	edge	edge	NOUN
ejpam-6602	463	25	and	and	CCONJ
ejpam-6602	463	26	k.	k.	PROPN
ejpam-6602	463	27	danach	danach	PROPN
ejpam-6602	463	28	et	et	PROPN
ejpam-6602	463	29	al	al	PROPN
ejpam-6602	463	30	.	.	PUNCT
ejpam-6602	463	31	/	/	SYM
ejpam-6602	463	32	eur	eur	PROPN
ejpam-6602	463	33	.	.	PUNCT
ejpam-6602	464	1	j.	j.	PROPN
ejpam-6602	464	2	pure	pure	PROPN
ejpam-6602	464	3	appl	appl	PROPN
ejpam-6602	464	4	.	.	PROPN
ejpam-6602	464	5	math	math	PROPN
ejpam-6602	464	6	,	,	PUNCT
ejpam-6602	464	7	18	18	NUM
ejpam-6602	464	8	(	(	PUNCT
ejpam-6602	464	9	3	3	NUM
ejpam-6602	464	10	)	)	PUNCT
ejpam-6602	464	11	(	(	PUNCT
ejpam-6602	464	12	2025	2025	NUM
ejpam-6602	464	13	)	)	PUNCT
ejpam-6602	464	14	,	,	PUNCT
ejpam-6602	464	15	6602	6602	NUM
ejpam-6602	464	16	34	34	NUM
ejpam-6602	464	17	of	of	ADP
ejpam-6602	464	18	37	37	NUM
ejpam-6602	464	19	cloud	cloud	NOUN
ejpam-6602	464	20	-	-	PUNCT
ejpam-6602	464	21	based	base	VERB
ejpam-6602	464	22	computing	computing	NOUN
ejpam-6602	464	23	solutions	solution	NOUN
ejpam-6602	464	24	to	to	PART
ejpam-6602	464	25	further	far	ADV
ejpam-6602	464	26	improve	improve	VERB
ejpam-6602	464	27	scalability	scalability	NOUN
ejpam-6602	464	28	and	and	CCONJ
ejpam-6602	464	29	efficiency	efficiency	NOUN
ejpam-6602	464	30	in	in	ADP
ejpam-6602	464	31	real	real	ADJ
ejpam-6602	464	32	-	-	PUNCT
ejpam-6602	464	33	time	time	NOUN
ejpam-6602	464	34	decision	decision	NOUN
ejpam-6602	464	35	-	-	PUNCT
ejpam-6602	464	36	making	make	VERB
ejpam-6602	464	37	environments	environment	NOUN
ejpam-6602	464	38	.	.	PUNCT
ejpam-6602	465	1	references	reference	NOUN
ejpam-6602	465	2	[	[	X
ejpam-6602	465	3	1	1	NUM
ejpam-6602	465	4	]	]	PUNCT
ejpam-6602	465	5	c.	c.	PROPN
ejpam-6602	465	6	h.	h.	PROPN
ejpam-6602	465	7	papadimitriou	papadimitriou	PROPN
ejpam-6602	465	8	and	and	CCONJ
ejpam-6602	465	9	k.	k.	PROPN
ejpam-6602	465	10	steiglitz	steiglitz	PROPN
ejpam-6602	465	11	.	.	PUNCT
ejpam-6602	466	1	combinatorial	combinatorial	ADJ
ejpam-6602	466	2	optimization	optimization	NOUN
ejpam-6602	466	3	:	:	PUNCT
ejpam-6602	466	4	algorithms	algorithm	NOUN
ejpam-6602	466	5	and	and	CCONJ
ejpam-6602	466	6	complexity	complexity	NOUN
ejpam-6602	466	7	.	.	PUNCT
ejpam-6602	467	1	dover	dover	PROPN
ejpam-6602	467	2	publications	publication	NOUN
ejpam-6602	467	3	,	,	PUNCT
ejpam-6602	467	4	1998	1998	NUM
ejpam-6602	467	5	.	.	PUNCT
ejpam-6602	468	1	[	[	X
ejpam-6602	468	2	2	2	X
ejpam-6602	468	3	]	]	PUNCT
ejpam-6602	468	4	kassem	kassem	PROPN
ejpam-6602	468	5	danach	danach	PROPN
ejpam-6602	468	6	,	,	PUNCT
ejpam-6602	468	7	hassan	hassan	PROPN
ejpam-6602	468	8	harb	harb	PROPN
ejpam-6602	468	9	,	,	PUNCT
ejpam-6602	468	10	wael	wael	PROPN
ejpam-6602	468	11	hosny	hosny	PROPN
ejpam-6602	468	12	fouad	fouad	PROPN
ejpam-6602	468	13	aly	aly	PROPN
ejpam-6602	468	14	,	,	PUNCT
ejpam-6602	468	15	hassan	hassan	PROPN
ejpam-6602	468	16	kanj	kanj	PROPN
ejpam-6602	468	17	,	,	PUNCT
ejpam-6602	468	18	and	and	CCONJ
ejpam-6602	468	19	ameer	ameer	PROPN
ejpam-6602	468	20	sardar	sardar	PROPN
ejpam-6602	468	21	kwekha	kwekha	PROPN
ejpam-6602	468	22	rashid	rashid	PROPN
ejpam-6602	468	23	.	.	PUNCT
ejpam-6602	468	24	bio	bio	PROPN
ejpam-6602	468	25	-	-	PUNCT
ejpam-6602	468	26	inspired	inspire	VERB
ejpam-6602	468	27	optimization	optimization	NOUN
ejpam-6602	468	28	through	through	ADP
ejpam-6602	468	29	photosynthesis	photosynthesis	NOUN
ejpam-6602	468	30	:	:	PUNCT
ejpam-6602	468	31	a	a	DET
ejpam-6602	468	32	novel	novel	ADJ
ejpam-6602	468	33	approach	approach	NOUN
ejpam-6602	468	34	for	for	ADP
ejpam-6602	468	35	balancing	balance	VERB
ejpam-6602	468	36	exploration	exploration	NOUN
ejpam-6602	468	37	and	and	CCONJ
ejpam-6602	468	38	exploitation	exploitation	NOUN
ejpam-6602	468	39	in	in	ADP
ejpam-6602	468	40	complex	complex	ADJ
ejpam-6602	468	41	systems	system	NOUN
ejpam-6602	468	42	.	.	PUNCT
ejpam-6602	469	1	european	european	ADJ
ejpam-6602	469	2	journal	journal	PROPN
ejpam-6602	469	3	of	of	ADP
ejpam-6602	469	4	pure	pure	ADJ
ejpam-6602	469	5	and	and	CCONJ
ejpam-6602	469	6	applied	applied	ADJ
ejpam-6602	469	7	mathematics	mathematic	NOUN
ejpam-6602	469	8	,	,	PUNCT
ejpam-6602	469	9	18(2):5980–5980	18(2):5980–5980	NUM
ejpam-6602	469	10	,	,	PUNCT
ejpam-6602	469	11	2025	2025	NUM
ejpam-6602	469	12	.	.	PUNCT
ejpam-6602	470	1	[	[	X
ejpam-6602	470	2	3	3	NUM
ejpam-6602	470	3	]	]	PUNCT
ejpam-6602	470	4	m.	m.	PROPN
ejpam-6602	470	5	r.	r.	PROPN
ejpam-6602	470	6	garey	garey	PROPN
ejpam-6602	470	7	and	and	CCONJ
ejpam-6602	470	8	d.	d.	PROPN
ejpam-6602	470	9	s.	s.	PROPN
ejpam-6602	470	10	johnson	johnson	PROPN
ejpam-6602	470	11	.	.	PUNCT
ejpam-6602	471	1	computers	computer	NOUN
ejpam-6602	471	2	and	and	CCONJ
ejpam-6602	471	3	intractability	intractability	NOUN
ejpam-6602	471	4	:	:	PUNCT
ejpam-6602	471	5	a	a	DET
ejpam-6602	471	6	guide	guide	NOUN
ejpam-6602	471	7	to	to	ADP
ejpam-6602	471	8	the	the	DET
ejpam-6602	471	9	theory	theory	NOUN
ejpam-6602	471	10	of	of	ADP
ejpam-6602	471	11	np	np	NOUN
ejpam-6602	471	12	-	-	NOUN
ejpam-6602	471	13	completeness	completeness	NOUN
ejpam-6602	471	14	.	.	PUNCT
ejpam-6602	472	1	w.	w.	PROPN
ejpam-6602	472	2	h.	h.	PROPN
ejpam-6602	472	3	freeman	freeman	PROPN
ejpam-6602	472	4	,	,	PUNCT
ejpam-6602	472	5	1979	1979	NUM
ejpam-6602	472	6	.	.	PUNCT
ejpam-6602	473	1	[	[	X
ejpam-6602	473	2	4	4	NUM
ejpam-6602	473	3	]	]	X
ejpam-6602	473	4	c.	c.	PROPN
ejpam-6602	473	5	blum	blum	PROPN
ejpam-6602	473	6	and	and	CCONJ
ejpam-6602	473	7	a.	a.	NOUN
ejpam-6602	473	8	roli	roli	NOUN
ejpam-6602	473	9	.	.	PUNCT
ejpam-6602	474	1	metaheuristics	metaheuristic	NOUN
ejpam-6602	474	2	in	in	ADP
ejpam-6602	474	3	combinatorial	combinatorial	ADJ
ejpam-6602	474	4	optimization	optimization	NOUN
ejpam-6602	474	5	:	:	PUNCT
ejpam-6602	474	6	overview	overview	NOUN
ejpam-6602	474	7	and	and	CCONJ
ejpam-6602	474	8	conceptual	conceptual	ADJ
ejpam-6602	474	9	comparison	comparison	NOUN
ejpam-6602	474	10	.	.	PUNCT
ejpam-6602	475	1	acm	acm	PROPN
ejpam-6602	475	2	computing	computing	NOUN
ejpam-6602	475	3	surveys	survey	NOUN
ejpam-6602	475	4	,	,	PUNCT
ejpam-6602	475	5	35(3):268–308	35(3):268–308	PROPN
ejpam-6602	475	6	,	,	PUNCT
ejpam-6602	475	7	2003	2003	NUM
ejpam-6602	475	8	.	.	PUNCT
ejpam-6602	476	1	[	[	X
ejpam-6602	476	2	5	5	X
ejpam-6602	476	3	]	]	PUNCT
ejpam-6602	476	4	j.	j.	PROPN
ejpam-6602	476	5	h.	h.	PROPN
ejpam-6602	476	6	holland	holland	PROPN
ejpam-6602	476	7	.	.	PUNCT
ejpam-6602	477	1	adaptation	adaptation	NOUN
ejpam-6602	477	2	in	in	ADP
ejpam-6602	477	3	natural	natural	ADJ
ejpam-6602	477	4	and	and	CCONJ
ejpam-6602	477	5	artificial	artificial	ADJ
ejpam-6602	477	6	systems	system	NOUN
ejpam-6602	477	7	.	.	PUNCT
ejpam-6602	478	1	university	university	NOUN
ejpam-6602	478	2	of	of	ADP
ejpam-6602	478	3	michigan	michigan	PROPN
ejpam-6602	478	4	press	press	PROPN
ejpam-6602	478	5	,	,	PUNCT
ejpam-6602	478	6	1975	1975	NUM
ejpam-6602	478	7	.	.	PUNCT
ejpam-6602	479	1	[	[	X
ejpam-6602	479	2	6	6	NUM
ejpam-6602	479	3	]	]	PUNCT
ejpam-6602	479	4	s.	s.	PROPN
ejpam-6602	479	5	kirkpatrick	kirkpatrick	PROPN
ejpam-6602	479	6	,	,	PUNCT
ejpam-6602	479	7	c.	c.	PROPN
ejpam-6602	479	8	d.	d.	PROPN
ejpam-6602	479	9	gelatt	gelatt	PROPN
ejpam-6602	479	10	,	,	PUNCT
ejpam-6602	479	11	and	and	CCONJ
ejpam-6602	479	12	m.	m.	NOUN
ejpam-6602	479	13	p.	p.	PROPN
ejpam-6602	479	14	vecchi	vecchi	PROPN
ejpam-6602	479	15	.	.	PUNCT
ejpam-6602	480	1	optimization	optimization	NOUN
ejpam-6602	480	2	by	by	ADP
ejpam-6602	480	3	simulated	simulated	ADJ
ejpam-6602	480	4	annealing	annealing	NOUN
ejpam-6602	480	5	.	.	PUNCT
ejpam-6602	481	1	science	science	NOUN
ejpam-6602	481	2	,	,	PUNCT
ejpam-6602	481	3	220(4598):671–680	220(4598):671–680	NUM
ejpam-6602	481	4	,	,	PUNCT
ejpam-6602	481	5	1983	1983	NUM
ejpam-6602	481	6	.	.	PUNCT
ejpam-6602	482	1	[	[	X
ejpam-6602	482	2	7	7	X
ejpam-6602	482	3	]	]	X
ejpam-6602	482	4	j.	j.	PROPN
ejpam-6602	482	5	kennedy	kennedy	PROPN
ejpam-6602	482	6	and	and	CCONJ
ejpam-6602	482	7	r.	r.	PROPN
ejpam-6602	482	8	eberhart	eberhart	PROPN
ejpam-6602	482	9	.	.	PUNCT
ejpam-6602	483	1	particle	particle	NOUN
ejpam-6602	483	2	swarm	swarm	NOUN
ejpam-6602	483	3	optimization	optimization	NOUN
ejpam-6602	483	4	.	.	PUNCT
ejpam-6602	484	1	in	in	ADP
ejpam-6602	484	2	proc	proc	PROPN
ejpam-6602	484	3	.	.	PUNCT
ejpam-6602	485	1	ieee	ieee	PROPN
ejpam-6602	485	2	int	int	PROPN
ejpam-6602	485	3	.	.	PUNCT
ejpam-6602	486	1	conf	conf	PROPN
ejpam-6602	486	2	.	.	PUNCT
ejpam-6602	487	1	neural	neural	ADJ
ejpam-6602	487	2	networks	network	NOUN
ejpam-6602	487	3	,	,	PUNCT
ejpam-6602	487	4	pages	page	NOUN
ejpam-6602	487	5	1942–1948	1942–1948	NUM
ejpam-6602	487	6	,	,	PUNCT
ejpam-6602	487	7	1995	1995	NUM
ejpam-6602	487	8	.	.	PUNCT
ejpam-6602	488	1	[	[	X
ejpam-6602	488	2	8	8	NUM
ejpam-6602	488	3	]	]	X
ejpam-6602	488	4	m.	m.	NOUN
ejpam-6602	488	5	dorigo	dorigo	PROPN
ejpam-6602	488	6	,	,	PUNCT
ejpam-6602	488	7	v.	v.	PROPN
ejpam-6602	488	8	maniezzo	maniezzo	PROPN
ejpam-6602	488	9	,	,	PUNCT
ejpam-6602	488	10	and	and	CCONJ
ejpam-6602	488	11	a.	a.	NOUN
ejpam-6602	488	12	colorni	colorni	PROPN
ejpam-6602	488	13	.	.	PUNCT
ejpam-6602	489	1	ant	ant	ADJ
ejpam-6602	489	2	system	system	NOUN
ejpam-6602	489	3	:	:	PUNCT
ejpam-6602	489	4	optimization	optimization	NOUN
ejpam-6602	489	5	by	by	ADP
ejpam-6602	489	6	a	a	DET
ejpam-6602	489	7	colony	colony	NOUN
ejpam-6602	489	8	of	of	ADP
ejpam-6602	489	9	cooperating	cooperate	VERB
ejpam-6602	489	10	agents	agent	NOUN
ejpam-6602	489	11	.	.	PUNCT
ejpam-6602	490	1	ieee	ieee	NOUN
ejpam-6602	490	2	transactions	transaction	NOUN
ejpam-6602	490	3	on	on	ADP
ejpam-6602	490	4	systems	system	NOUN
ejpam-6602	490	5	,	,	PUNCT
ejpam-6602	490	6	man	man	NOUN
ejpam-6602	490	7	,	,	PUNCT
ejpam-6602	490	8	and	and	CCONJ
ejpam-6602	490	9	cybernetics	cybernetic	NOUN
ejpam-6602	490	10	,	,	PUNCT
ejpam-6602	490	11	part	part	NOUN
ejpam-6602	490	12	b	b	PROPN
ejpam-6602	490	13	,	,	PUNCT
ejpam-6602	490	14	26(1):29–41	26(1):29–41	NUM
ejpam-6602	490	15	,	,	PUNCT
ejpam-6602	490	16	1996	1996	NUM
ejpam-6602	490	17	.	.	PUNCT
ejpam-6602	491	1	[	[	X
ejpam-6602	491	2	9	9	NUM
ejpam-6602	491	3	]	]	SYM
ejpam-6602	491	4	i.	i.	NOUN
ejpam-6602	491	5	boussäıd	boussäıd	PROPN
ejpam-6602	491	6	,	,	PUNCT
ejpam-6602	491	7	j.	j.	PROPN
ejpam-6602	491	8	lepagnot	lepagnot	PROPN
ejpam-6602	491	9	,	,	PUNCT
ejpam-6602	491	10	and	and	CCONJ
ejpam-6602	491	11	p.	p.	NOUN
ejpam-6602	491	12	siarry	siarry	PROPN
ejpam-6602	491	13	.	.	PUNCT
ejpam-6602	492	1	a	a	DET
ejpam-6602	492	2	survey	survey	NOUN
ejpam-6602	492	3	on	on	ADP
ejpam-6602	492	4	optimization	optimization	NOUN
ejpam-6602	492	5	metaheuristics	metaheuristic	NOUN
ejpam-6602	492	6	.	.	PUNCT
ejpam-6602	493	1	information	information	NOUN
ejpam-6602	493	2	sciences	sciences	PROPN
ejpam-6602	493	3	,	,	PUNCT
ejpam-6602	493	4	237:82–117	237:82–117	NUM
ejpam-6602	493	5	,	,	PUNCT
ejpam-6602	493	6	2013	2013	NUM
ejpam-6602	493	7	.	.	PUNCT
ejpam-6602	494	1	[	[	X
ejpam-6602	494	2	10	10	NUM
ejpam-6602	494	3	]	]	PUNCT
ejpam-6602	494	4	e.-g	e.-g	PROPN
ejpam-6602	494	5	.	.	PUNCT
ejpam-6602	494	6	talbi	talbi	PROPN
ejpam-6602	494	7	.	.	PUNCT
ejpam-6602	495	1	metaheuristics	metaheuristic	NOUN
ejpam-6602	495	2	:	:	PUNCT
ejpam-6602	495	3	from	from	ADP
ejpam-6602	495	4	design	design	NOUN
ejpam-6602	495	5	to	to	ADP
ejpam-6602	495	6	implementation	implementation	NOUN
ejpam-6602	495	7	.	.	PUNCT
ejpam-6602	496	1	wiley	wiley	PROPN
ejpam-6602	496	2	,	,	PUNCT
ejpam-6602	496	3	2009	2009	NUM
ejpam-6602	496	4	.	.	PUNCT
ejpam-6602	497	1	[	[	X
ejpam-6602	497	2	11	11	NUM
ejpam-6602	497	3	]	]	X
ejpam-6602	497	4	kassem	kassem	PROPN
ejpam-6602	497	5	danach	danach	PROPN
ejpam-6602	497	6	,	,	PUNCT
ejpam-6602	497	7	abbas	abbas	PROPN
ejpam-6602	497	8	rammal	rammal	NOUN
ejpam-6602	497	9	,	,	PUNCT
ejpam-6602	497	10	imad	imad	PROPN
ejpam-6602	497	11	moukadem	moukadem	PROPN
ejpam-6602	497	12	,	,	PUNCT
ejpam-6602	497	13	hassan	hassan	PROPN
ejpam-6602	497	14	harb	harb	PROPN
ejpam-6602	497	15	,	,	PUNCT
ejpam-6602	497	16	and	and	CCONJ
ejpam-6602	497	17	abbass	abbass	PROPN
ejpam-6602	497	18	nasser	nasser	PROPN
ejpam-6602	497	19	.	.	PUNCT
ejpam-6602	498	1	advanced	advanced	ADJ
ejpam-6602	498	2	optimization	optimization	NOUN
ejpam-6602	498	3	in	in	ADP
ejpam-6602	498	4	e	e	NOUN
ejpam-6602	498	5	-	-	NOUN
ejpam-6602	498	6	commerce	commerce	NOUN
ejpam-6602	498	7	logistics	logistic	NOUN
ejpam-6602	498	8	:	:	PUNCT
ejpam-6602	498	9	combining	combine	VERB
ejpam-6602	498	10	matheuristics	matheuristic	NOUN
ejpam-6602	498	11	with	with	ADP
ejpam-6602	498	12	random	random	ADJ
ejpam-6602	498	13	forests	forest	NOUN
ejpam-6602	498	14	for	for	ADP
ejpam-6602	498	15	hub	hub	NOUN
ejpam-6602	498	16	location	location	NOUN
ejpam-6602	498	17	efficiency	efficiency	NOUN
ejpam-6602	498	18	.	.	PUNCT
ejpam-6602	499	1	ieee	ieee	NOUN
ejpam-6602	499	2	access	access	NOUN
ejpam-6602	499	3	,	,	PUNCT
ejpam-6602	499	4	2025	2025	NUM
ejpam-6602	499	5	.	.	PUNCT
ejpam-6602	500	1	[	[	X
ejpam-6602	500	2	12	12	NUM
ejpam-6602	500	3	]	]	X
ejpam-6602	500	4	g.	g.	PROPN
ejpam-6602	500	5	r.	r.	PROPN
ejpam-6602	500	6	raidl	raidl	PROPN
ejpam-6602	500	7	.	.	PUNCT
ejpam-6602	501	1	a	a	DET
ejpam-6602	501	2	unified	unified	ADJ
ejpam-6602	501	3	view	view	NOUN
ejpam-6602	501	4	on	on	ADP
ejpam-6602	501	5	hybrid	hybrid	ADJ
ejpam-6602	501	6	metaheuristics	metaheuristic	NOUN
ejpam-6602	501	7	.	.	PUNCT
ejpam-6602	502	1	in	in	ADP
ejpam-6602	502	2	hybrid	hybrid	ADJ
ejpam-6602	502	3	metaheuristics	metaheuristic	NOUN
ejpam-6602	502	4	,	,	PUNCT
ejpam-6602	502	5	pages	page	NOUN
ejpam-6602	502	6	1–12	1–12	PROPN
ejpam-6602	502	7	.	.	PUNCT
ejpam-6602	502	8	springer	springer	NOUN
ejpam-6602	502	9	,	,	PUNCT
ejpam-6602	502	10	2006	2006	NUM
ejpam-6602	502	11	.	.	PUNCT
ejpam-6602	503	1	[	[	X
ejpam-6602	503	2	13	13	NUM
ejpam-6602	503	3	]	]	X
ejpam-6602	503	4	c.	c.	PROPN
ejpam-6602	503	5	h.	h.	PROPN
ejpam-6602	503	6	r.	r.	PROPN
ejpam-6602	503	7	pedro	pedro	PROPN
ejpam-6602	503	8	and	and	CCONJ
ejpam-6602	503	9	f.	f.	PROPN
ejpam-6602	503	10	g.	g.	PROPN
ejpam-6602	503	11	takahashi	takahashi	PROPN
ejpam-6602	503	12	.	.	PUNCT
ejpam-6602	504	1	hybrid	hybrid	ADJ
ejpam-6602	504	2	metaheuristics	metaheuristic	NOUN
ejpam-6602	504	3	:	:	PUNCT
ejpam-6602	504	4	a	a	DET
ejpam-6602	504	5	survey	survey	NOUN
ejpam-6602	504	6	and	and	CCONJ
ejpam-6602	504	7	theoretical	theoretical	ADJ
ejpam-6602	504	8	insights	insight	NOUN
ejpam-6602	504	9	.	.	PUNCT
ejpam-6602	505	1	journal	journal	NOUN
ejpam-6602	505	2	of	of	ADP
ejpam-6602	505	3	heuristics	heuristic	NOUN
ejpam-6602	505	4	,	,	PUNCT
ejpam-6602	505	5	25(6):735–769	25(6):735–769	NUM
ejpam-6602	505	6	,	,	PUNCT
ejpam-6602	505	7	2019	2019	NUM
ejpam-6602	505	8	.	.	PUNCT
ejpam-6602	506	1	[	[	X
ejpam-6602	506	2	14	14	NUM
ejpam-6602	506	3	]	]	PUNCT
ejpam-6602	506	4	x.	x.	PROPN
ejpam-6602	506	5	zhang	zhang	PROPN
ejpam-6602	506	6	,	,	PUNCT
ejpam-6602	506	7	j.	j.	PROPN
ejpam-6602	506	8	liu	liu	PROPN
ejpam-6602	506	9	,	,	PUNCT
ejpam-6602	506	10	and	and	CCONJ
ejpam-6602	506	11	y.	y.	PROPN
ejpam-6602	506	12	li	li	PROPN
ejpam-6602	506	13	.	.	PROPN
ejpam-6602	506	14	reinforcement	reinforcement	NOUN
ejpam-6602	506	15	learning	learning	NOUN
ejpam-6602	506	16	-	-	PUNCT
ejpam-6602	506	17	based	base	VERB
ejpam-6602	506	18	metaheuristic	metaheuristic	ADJ
ejpam-6602	506	19	optimization	optimization	NOUN
ejpam-6602	506	20	for	for	ADP
ejpam-6602	506	21	combinatorial	combinatorial	ADJ
ejpam-6602	506	22	problems	problem	NOUN
ejpam-6602	506	23	.	.	PUNCT
ejpam-6602	507	1	ieee	ieee	NOUN
ejpam-6602	507	2	transactions	transaction	NOUN
ejpam-6602	507	3	on	on	ADP
ejpam-6602	507	4	evolutionary	evolutionary	ADJ
ejpam-6602	507	5	computation	computation	NOUN
ejpam-6602	507	6	,	,	PUNCT
ejpam-6602	507	7	24(4):644–656	24(4):644–656	NUM
ejpam-6602	507	8	,	,	PUNCT
ejpam-6602	507	9	2020	2020	NUM
ejpam-6602	507	10	.	.	PUNCT
ejpam-6602	508	1	[	[	X
ejpam-6602	508	2	15	15	NUM
ejpam-6602	508	3	]	]	X
ejpam-6602	508	4	wenjie	wenjie	NOUN
ejpam-6602	508	5	yi	yi	PROPN
ejpam-6602	508	6	,	,	PUNCT
ejpam-6602	508	7	rong	rong	PROPN
ejpam-6602	508	8	qu	qu	PROPN
ejpam-6602	508	9	,	,	PUNCT
ejpam-6602	508	10	licheng	licheng	PROPN
ejpam-6602	508	11	jiao	jiao	PROPN
ejpam-6602	508	12	,	,	PUNCT
ejpam-6602	508	13	and	and	CCONJ
ejpam-6602	508	14	ben	ben	PROPN
ejpam-6602	508	15	niu	niu	PROPN
ejpam-6602	508	16	.	.	PUNCT
ejpam-6602	509	1	automated	automate	VERB
ejpam-6602	509	2	design	design	NOUN
ejpam-6602	509	3	of	of	ADP
ejpam-6602	509	4	metaheuristics	metaheuristic	NOUN
ejpam-6602	509	5	using	use	VERB
ejpam-6602	509	6	reinforcement	reinforcement	NOUN
ejpam-6602	509	7	learning	learning	NOUN
ejpam-6602	509	8	within	within	ADP
ejpam-6602	509	9	a	a	DET
ejpam-6602	509	10	novel	novel	ADJ
ejpam-6602	509	11	general	general	ADJ
ejpam-6602	509	12	search	search	NOUN
ejpam-6602	509	13	framework	framework	NOUN
ejpam-6602	509	14	.	.	PUNCT
ejpam-6602	510	1	ieee	ieee	NOUN
ejpam-6602	510	2	transactions	transaction	NOUN
ejpam-6602	510	3	on	on	ADP
ejpam-6602	510	4	evolutionary	evolutionary	ADJ
ejpam-6602	510	5	computation	computation	NOUN
ejpam-6602	510	6	,	,	PUNCT
ejpam-6602	510	7	27:1072–1084	27:1072–1084	NUM
ejpam-6602	510	8	,	,	PUNCT
ejpam-6602	510	9	2023	2023	NUM
ejpam-6602	510	10	.	.	PUNCT
ejpam-6602	511	1	[	[	X
ejpam-6602	511	2	16	16	NUM
ejpam-6602	511	3	]	]	X
ejpam-6602	511	4	jakob	jakob	PROPN
ejpam-6602	511	5	kallestad	kallestad	PROPN
ejpam-6602	511	6	,	,	PUNCT
ejpam-6602	511	7	ramin	ramin	NOUN
ejpam-6602	511	8	hasibi	hasibi	NOUN
ejpam-6602	511	9	,	,	PUNCT
ejpam-6602	511	10	ahmad	ahmad	PROPN
ejpam-6602	511	11	hemmati	hemmati	PROPN
ejpam-6602	511	12	,	,	PUNCT
ejpam-6602	511	13	and	and	CCONJ
ejpam-6602	511	14	kenneth	kenneth	PROPN
ejpam-6602	511	15	sörensen	sörensen	PROPN
ejpam-6602	511	16	.	.	PUNCT
ejpam-6602	512	1	a	a	DET
ejpam-6602	512	2	general	general	ADJ
ejpam-6602	512	3	deep	deep	ADJ
ejpam-6602	512	4	reinforcement	reinforcement	NOUN
ejpam-6602	512	5	learning	learn	VERB
ejpam-6602	512	6	hyperheuristic	hyperheuristic	ADJ
ejpam-6602	512	7	framework	framework	NOUN
ejpam-6602	512	8	for	for	ADP
ejpam-6602	512	9	solving	solve	VERB
ejpam-6602	512	10	combinatorial	combinatorial	NOUN
ejpam-6602	512	11	k.	k.	PROPN
ejpam-6602	512	12	danach	danach	PROPN
ejpam-6602	512	13	et	et	PROPN
ejpam-6602	512	14	al	al	PROPN
ejpam-6602	512	15	.	.	PUNCT
ejpam-6602	512	16	/	/	SYM
ejpam-6602	512	17	eur	eur	PROPN
ejpam-6602	512	18	.	.	PUNCT
ejpam-6602	513	1	j.	j.	PROPN
ejpam-6602	513	2	pure	pure	PROPN
ejpam-6602	513	3	appl	appl	PROPN
ejpam-6602	513	4	.	.	PROPN
ejpam-6602	513	5	math	math	PROPN
ejpam-6602	513	6	,	,	PUNCT
ejpam-6602	513	7	18	18	NUM
ejpam-6602	513	8	(	(	PUNCT
ejpam-6602	513	9	3	3	NUM
ejpam-6602	513	10	)	)	PUNCT
ejpam-6602	513	11	(	(	PUNCT
ejpam-6602	513	12	2025	2025	NUM
ejpam-6602	513	13	)	)	PUNCT
ejpam-6602	513	14	,	,	PUNCT
ejpam-6602	513	15	6602	6602	NUM
ejpam-6602	513	16	35	35	NUM
ejpam-6602	513	17	of	of	ADP
ejpam-6602	513	18	37	37	NUM
ejpam-6602	513	19	optimization	optimization	NOUN
ejpam-6602	513	20	problems	problem	NOUN
ejpam-6602	513	21	.	.	PUNCT
ejpam-6602	514	1	european	european	ADJ
ejpam-6602	514	2	journal	journal	PROPN
ejpam-6602	514	3	of	of	ADP
ejpam-6602	514	4	operational	operational	ADJ
ejpam-6602	514	5	research	research	NOUN
ejpam-6602	514	6	,	,	PUNCT
ejpam-6602	514	7	2023	2023	NUM
ejpam-6602	514	8	.	.	PUNCT
ejpam-6602	515	1	available	available	ADJ
ejpam-6602	515	2	online	online	ADV
ejpam-6602	515	3	16	16	NUM
ejpam-6602	515	4	jan	jan	PROPN
ejpam-6602	515	5	2023	2023	NUM
ejpam-6602	515	6	.	.	PUNCT
ejpam-6602	516	1	[	[	X
ejpam-6602	516	2	17	17	NUM
ejpam-6602	516	3	]	]	X
ejpam-6602	516	4	kassem	kassem	PROPN
ejpam-6602	516	5	danach	danach	PROPN
ejpam-6602	516	6	,	,	PUNCT
ejpam-6602	516	7	hassan	hassan	PROPN
ejpam-6602	516	8	harb	harb	PROPN
ejpam-6602	516	9	,	,	PUNCT
ejpam-6602	516	10	hussin	hussin	PROPN
ejpam-6602	516	11	jose	jose	PROPN
ejpam-6602	516	12	hejaze	hejaze	NOUN
ejpam-6602	516	13	,	,	PUNCT
ejpam-6602	516	14	and	and	CCONJ
ejpam-6602	516	15	louai	louai	PROPN
ejpam-6602	516	16	saker	saker	PROPN
ejpam-6602	516	17	.	.	PUNCT
ejpam-6602	517	1	hybrid	hybrid	ADJ
ejpam-6602	517	2	metaheuristic	metaheuristic	ADJ
ejpam-6602	517	3	framework	framework	NOUN
ejpam-6602	517	4	with	with	ADP
ejpam-6602	517	5	reinforcement	reinforcement	NOUN
ejpam-6602	517	6	learning	learning	NOUN
ejpam-6602	517	7	-	-	PUNCT
ejpam-6602	517	8	based	base	VERB
ejpam-6602	517	9	adaptation	adaptation	NOUN
ejpam-6602	517	10	for	for	ADP
ejpam-6602	517	11	large	large	ADJ
ejpam-6602	517	12	-	-	PUNCT
ejpam-6602	517	13	scale	scale	NOUN
ejpam-6602	517	14	combinatorial	combinatorial	ADJ
ejpam-6602	517	15	optimization	optimization	NOUN
ejpam-6602	517	16	.	.	PUNCT
ejpam-6602	518	1	european	european	ADJ
ejpam-6602	518	2	journal	journal	PROPN
ejpam-6602	518	3	of	of	ADP
ejpam-6602	518	4	pure	pure	ADJ
ejpam-6602	518	5	and	and	CCONJ
ejpam-6602	518	6	applied	applied	ADJ
ejpam-6602	518	7	mathematics	mathematic	NOUN
ejpam-6602	518	8	,	,	PUNCT
ejpam-6602	518	9	1:1–35	1:1–35	NUM
ejpam-6602	518	10	,	,	PUNCT
ejpam-6602	518	11	2025	2025	NUM
ejpam-6602	518	12	.	.	PUNCT
ejpam-6602	519	1	preprint	preprint	VERB
ejpam-6602	519	2	available	available	ADJ
ejpam-6602	519	3	online	online	ADV
ejpam-6602	519	4	.	.	PUNCT
ejpam-6602	520	1	[	[	X
ejpam-6602	520	2	18	18	NUM
ejpam-6602	520	3	]	]	X
ejpam-6602	520	4	hang	hang	PROPN
ejpam-6602	520	5	wu	wu	PROPN
ejpam-6602	520	6	,	,	PUNCT
ejpam-6602	520	7	xinyu	xinyu	PROPN
ejpam-6602	520	8	li	li	PROPN
ejpam-6602	520	9	,	,	PUNCT
ejpam-6602	520	10	zhenda	zhenda	PROPN
ejpam-6602	520	11	wu	wu	PROPN
ejpam-6602	520	12	,	,	PUNCT
ejpam-6602	520	13	and	and	CCONJ
ejpam-6602	520	14	yiyang	yiyang	PROPN
ejpam-6602	520	15	wang	wang	PROPN
ejpam-6602	520	16	.	.	PUNCT
ejpam-6602	521	1	learning	learn	VERB
ejpam-6602	521	2	to	to	PART
ejpam-6602	521	3	select	select	VERB
ejpam-6602	521	4	operators	operator	NOUN
ejpam-6602	521	5	in	in	ADP
ejpam-6602	521	6	meta	meta	NOUN
ejpam-6602	521	7	-	-	PUNCT
ejpam-6602	521	8	heuristics	heuristic	NOUN
ejpam-6602	521	9	:	:	PUNCT
ejpam-6602	521	10	an	an	DET
ejpam-6602	521	11	integration	integration	NOUN
ejpam-6602	521	12	of	of	ADP
ejpam-6602	521	13	q	q	NOUN
ejpam-6602	521	14	-	-	PUNCT
ejpam-6602	521	15	learning	learning	NOUN
ejpam-6602	521	16	into	into	ADP
ejpam-6602	521	17	the	the	DET
ejpam-6602	521	18	iterated	iterated	ADJ
ejpam-6602	521	19	greedy	greedy	ADJ
ejpam-6602	521	20	algorithm	algorithm	NOUN
ejpam-6602	521	21	for	for	ADP
ejpam-6602	521	22	the	the	DET
ejpam-6602	521	23	permutation	permutation	NOUN
ejpam-6602	521	24	flowshop	flowshop	NOUN
ejpam-6602	521	25	scheduling	scheduling	NOUN
ejpam-6602	521	26	problem	problem	NOUN
ejpam-6602	521	27	.	.	PUNCT
ejpam-6602	522	1	european	european	ADJ
ejpam-6602	522	2	journal	journal	PROPN
ejpam-6602	522	3	of	of	ADP
ejpam-6602	522	4	operational	operational	ADJ
ejpam-6602	522	5	research	research	NOUN
ejpam-6602	522	6	,	,	PUNCT
ejpam-6602	522	7	304(3):1296–1330	304(3):1296–1330	PROPN
ejpam-6602	522	8	,	,	PUNCT
ejpam-6602	522	9	2023	2023	NUM
ejpam-6602	522	10	.	.	PUNCT
ejpam-6602	523	1	[	[	X
ejpam-6602	523	2	19	19	NUM
ejpam-6602	523	3	]	]	PUNCT
ejpam-6602	523	4	j.	j.	PROPN
ejpam-6602	523	5	lu	lu	PROPN
ejpam-6602	523	6	,	,	PUNCT
ejpam-6602	523	7	w.	w.	PROPN
ejpam-6602	523	8	wang	wang	PROPN
ejpam-6602	523	9	,	,	PUNCT
ejpam-6602	523	10	and	and	CCONJ
ejpam-6602	523	11	y.	y.	PROPN
ejpam-6602	523	12	wang	wang	PROPN
ejpam-6602	523	13	.	.	PUNCT
ejpam-6602	524	1	computational	computational	ADJ
ejpam-6602	524	2	efficiency	efficiency	NOUN
ejpam-6602	524	3	challenges	challenge	NOUN
ejpam-6602	524	4	in	in	ADP
ejpam-6602	524	5	hybrid	hybrid	ADJ
ejpam-6602	524	6	metaheuristics	metaheuristic	NOUN
ejpam-6602	524	7	for	for	ADP
ejpam-6602	524	8	large	large	ADJ
ejpam-6602	524	9	-	-	PUNCT
ejpam-6602	524	10	scale	scale	NOUN
ejpam-6602	524	11	combinatorial	combinatorial	ADJ
ejpam-6602	524	12	optimization	optimization	NOUN
ejpam-6602	524	13	.	.	PUNCT
ejpam-6602	525	1	computers	computer	NOUN
ejpam-6602	525	2	&	&	CCONJ
ejpam-6602	525	3	operations	operation	NOUN
ejpam-6602	525	4	research	research	NOUN
ejpam-6602	525	5	,	,	PUNCT
ejpam-6602	525	6	143:105659	143:105659	NUM
ejpam-6602	525	7	,	,	PUNCT
ejpam-6602	525	8	2022	2022	NUM
ejpam-6602	525	9	.	.	PUNCT
ejpam-6602	526	1	[	[	X
ejpam-6602	526	2	20	20	NUM
ejpam-6602	526	3	]	]	X
ejpam-6602	526	4	yiyang	yiyang	PROPN
ejpam-6602	526	5	wu	wu	PROPN
ejpam-6602	526	6	,	,	PUNCT
ejpam-6602	526	7	hang	hang	PROPN
ejpam-6602	526	8	wang	wang	PROPN
ejpam-6602	526	9	,	,	PUNCT
ejpam-6602	526	10	zhizhen	zhizhen	PROPN
ejpam-6602	526	11	zhang	zhang	PROPN
ejpam-6602	526	12	,	,	PUNCT
ejpam-6602	526	13	and	and	CCONJ
ejpam-6602	526	14	xinyu	xinyu	PROPN
ejpam-6602	526	15	li	li	PROPN
ejpam-6602	526	16	.	.	PUNCT
ejpam-6602	527	1	a	a	DET
ejpam-6602	527	2	new	new	ADJ
ejpam-6602	527	3	hybrid	hybrid	NOUN
ejpam-6602	527	4	-	-	PUNCT
ejpam-6602	527	5	heuristic	heuristic	NOUN
ejpam-6602	527	6	for	for	ADP
ejpam-6602	527	7	large	large	ADJ
ejpam-6602	527	8	-	-	PUNCT
ejpam-6602	527	9	scale	scale	NOUN
ejpam-6602	527	10	combinatorial	combinatorial	ADJ
ejpam-6602	527	11	optimization	optimization	NOUN
ejpam-6602	527	12	:	:	PUNCT
ejpam-6602	527	13	a	a	DET
ejpam-6602	527	14	case	case	NOUN
ejpam-6602	527	15	of	of	ADP
ejpam-6602	527	16	quadratic	quadratic	ADJ
ejpam-6602	527	17	assignment	assignment	NOUN
ejpam-6602	527	18	problem	problem	NOUN
ejpam-6602	527	19	.	.	PUNCT
ejpam-6602	528	1	computers	computer	NOUN
ejpam-6602	528	2	&	&	CCONJ
ejpam-6602	528	3	industrial	industrial	ADJ
ejpam-6602	528	4	engineering	engineering	NOUN
ejpam-6602	528	5	,	,	PUNCT
ejpam-6602	528	6	182:109220	182:109220	NUM
ejpam-6602	528	7	,	,	PUNCT
ejpam-6602	528	8	2023	2023	NUM
ejpam-6602	528	9	.	.	PUNCT
ejpam-6602	529	1	[	[	X
ejpam-6602	529	2	21	21	NUM
ejpam-6602	529	3	]	]	X
ejpam-6602	529	4	r.	r.	PROPN
ejpam-6602	529	5	s.	s.	PROPN
ejpam-6602	529	6	parpinelli	parpinelli	PROPN
ejpam-6602	529	7	and	and	CCONJ
ejpam-6602	529	8	h.	h.	PROPN
ejpam-6602	529	9	s.	s.	PROPN
ejpam-6602	529	10	lopes	lopes	PROPN
ejpam-6602	529	11	.	.	PUNCT
ejpam-6602	530	1	a	a	DET
ejpam-6602	530	2	cooperative	cooperative	ADJ
ejpam-6602	530	3	approach	approach	NOUN
ejpam-6602	530	4	for	for	ADP
ejpam-6602	530	5	combinatorial	combinatorial	ADJ
ejpam-6602	530	6	optimization	optimization	NOUN
ejpam-6602	530	7	based	base	VERB
ejpam-6602	530	8	on	on	ADP
ejpam-6602	530	9	swarm	swarm	NOUN
ejpam-6602	530	10	intelligence	intelligence	NOUN
ejpam-6602	530	11	.	.	PUNCT
ejpam-6602	531	1	information	information	NOUN
ejpam-6602	531	2	sciences	sciences	PROPN
ejpam-6602	531	3	,	,	PUNCT
ejpam-6602	531	4	181(20):4457–4473	181(20):4457–4473	NUM
ejpam-6602	531	5	,	,	PUNCT
ejpam-6602	531	6	2011	2011	NUM
ejpam-6602	531	7	.	.	PUNCT
ejpam-6602	532	1	[	[	X
ejpam-6602	532	2	22	22	NUM
ejpam-6602	532	3	]	]	PUNCT
ejpam-6602	532	4	a.	a.	PROPN
ejpam-6602	532	5	e.	e.	PROPN
ejpam-6602	532	6	eiben	eiben	PROPN
ejpam-6602	532	7	and	and	CCONJ
ejpam-6602	532	8	j.	j.	PROPN
ejpam-6602	532	9	e.	e.	PROPN
ejpam-6602	532	10	smith	smith	PROPN
ejpam-6602	532	11	.	.	PUNCT
ejpam-6602	533	1	introduction	introduction	NOUN
ejpam-6602	533	2	to	to	ADP
ejpam-6602	533	3	evolutionary	evolutionary	ADJ
ejpam-6602	533	4	computing	computing	NOUN
ejpam-6602	533	5	.	.	PUNCT
ejpam-6602	534	1	springer	springer	NOUN
ejpam-6602	534	2	,	,	PUNCT
ejpam-6602	534	3	2011	2011	NUM
ejpam-6602	534	4	.	.	PUNCT
ejpam-6602	535	1	[	[	X
ejpam-6602	535	2	23	23	NUM
ejpam-6602	535	3	]	]	PUNCT
ejpam-6602	535	4	z.	z.	PROPN
ejpam-6602	535	5	lu	lu	PROPN
ejpam-6602	535	6	,	,	PUNCT
ejpam-6602	535	7	s.	s.	PROPN
ejpam-6602	535	8	yang	yang	PROPN
ejpam-6602	535	9	,	,	PUNCT
ejpam-6602	535	10	and	and	CCONJ
ejpam-6602	535	11	x.	x.	PROPN
ejpam-6602	535	12	chen	chen	PROPN
ejpam-6602	535	13	.	.	PUNCT
ejpam-6602	536	1	a	a	DET
ejpam-6602	536	2	survey	survey	NOUN
ejpam-6602	536	3	on	on	ADP
ejpam-6602	536	4	large	large	ADJ
ejpam-6602	536	5	-	-	PUNCT
ejpam-6602	536	6	scale	scale	NOUN
ejpam-6602	536	7	metaheuristic	metaheuristic	ADJ
ejpam-6602	536	8	optimization	optimization	NOUN
ejpam-6602	536	9	:	:	PUNCT
ejpam-6602	536	10	challenges	challenge	NOUN
ejpam-6602	536	11	and	and	CCONJ
ejpam-6602	536	12	strategies	strategy	NOUN
ejpam-6602	536	13	.	.	PUNCT
ejpam-6602	537	1	ieee	ieee	NOUN
ejpam-6602	537	2	transactions	transaction	NOUN
ejpam-6602	537	3	on	on	ADP
ejpam-6602	537	4	evolutionary	evolutionary	ADJ
ejpam-6602	537	5	computation	computation	NOUN
ejpam-6602	537	6	,	,	PUNCT
ejpam-6602	537	7	26(4):610–632	26(4):610–632	PROPN
ejpam-6602	537	8	,	,	PUNCT
ejpam-6602	537	9	2022	2022	NUM
ejpam-6602	537	10	.	.	PUNCT
ejpam-6602	538	1	[	[	X
ejpam-6602	538	2	24	24	NUM
ejpam-6602	538	3	]	]	X
ejpam-6602	538	4	david	david	PROPN
ejpam-6602	538	5	e.	e.	PROPN
ejpam-6602	538	6	goldberg	goldberg	PROPN
ejpam-6602	538	7	.	.	PUNCT
ejpam-6602	539	1	genetic	genetic	ADJ
ejpam-6602	539	2	algorithms	algorithm	NOUN
ejpam-6602	539	3	in	in	ADP
ejpam-6602	539	4	search	search	NOUN
ejpam-6602	539	5	,	,	PUNCT
ejpam-6602	539	6	optimization	optimization	NOUN
ejpam-6602	539	7	,	,	PUNCT
ejpam-6602	539	8	and	and	CCONJ
ejpam-6602	539	9	machine	machine	NOUN
ejpam-6602	539	10	learning	learning	NOUN
ejpam-6602	539	11	.	.	PUNCT
ejpam-6602	540	1	addison	addison	PROPN
ejpam-6602	540	2	-	-	PUNCT
ejpam-6602	540	3	wesley	wesley	PROPN
ejpam-6602	540	4	,	,	PUNCT
ejpam-6602	540	5	1989	1989	NUM
ejpam-6602	540	6	.	.	PUNCT
ejpam-6602	541	1	[	[	X
ejpam-6602	541	2	25	25	NUM
ejpam-6602	541	3	]	]	X
ejpam-6602	541	4	colin	colin	PROPN
ejpam-6602	541	5	r.	r.	PROPN
ejpam-6602	541	6	reeves	reeves	PROPN
ejpam-6602	541	7	.	.	PUNCT
ejpam-6602	542	1	genetic	genetic	ADJ
ejpam-6602	542	2	algorithms	algorithm	NOUN
ejpam-6602	542	3	for	for	ADP
ejpam-6602	542	4	the	the	DET
ejpam-6602	542	5	operations	operation	NOUN
ejpam-6602	542	6	researcher	researcher	NOUN
ejpam-6602	542	7	.	.	PUNCT
ejpam-6602	543	1	informs	inform	VERB
ejpam-6602	543	2	journal	journal	NOUN
ejpam-6602	543	3	on	on	ADP
ejpam-6602	543	4	computing	computing	NOUN
ejpam-6602	543	5	,	,	PUNCT
ejpam-6602	543	6	7(3):231–250	7(3):231–250	NUM
ejpam-6602	543	7	,	,	PUNCT
ejpam-6602	543	8	1995	1995	NUM
ejpam-6602	543	9	.	.	PUNCT
ejpam-6602	544	1	[	[	X
ejpam-6602	544	2	26	26	NUM
ejpam-6602	544	3	]	]	X
ejpam-6602	544	4	thomas	thomas	PROPN
ejpam-6602	544	5	bäck	bäck	PROPN
ejpam-6602	544	6	.	.	PUNCT
ejpam-6602	545	1	evolutionary	evolutionary	ADJ
ejpam-6602	545	2	algorithms	algorithm	NOUN
ejpam-6602	545	3	in	in	ADP
ejpam-6602	545	4	theory	theory	NOUN
ejpam-6602	545	5	and	and	CCONJ
ejpam-6602	545	6	practice	practice	NOUN
ejpam-6602	545	7	:	:	PUNCT
ejpam-6602	545	8	evolution	evolution	NOUN
ejpam-6602	545	9	strategies	strategy	NOUN
ejpam-6602	545	10	,	,	PUNCT
ejpam-6602	545	11	evolutionary	evolutionary	ADJ
ejpam-6602	545	12	programming	programming	NOUN
ejpam-6602	545	13	,	,	PUNCT
ejpam-6602	545	14	genetic	genetic	ADJ
ejpam-6602	545	15	algorithms	algorithm	NOUN
ejpam-6602	545	16	.	.	PUNCT
ejpam-6602	546	1	oxford	oxford	PROPN
ejpam-6602	546	2	university	university	PROPN
ejpam-6602	546	3	press	press	NOUN
ejpam-6602	546	4	,	,	PUNCT
ejpam-6602	546	5	1996	1996	NUM
ejpam-6602	546	6	.	.	PUNCT
ejpam-6602	547	1	[	[	X
ejpam-6602	547	2	27	27	NUM
ejpam-6602	547	3	]	]	X
ejpam-6602	547	4	p.	p.	NOUN
ejpam-6602	547	5	j.	j.	PROPN
ejpam-6602	547	6	m.	m.	PROPN
ejpam-6602	547	7	van	van	PROPN
ejpam-6602	547	8	laarhoven	laarhoven	PROPN
ejpam-6602	547	9	and	and	CCONJ
ejpam-6602	547	10	e.	e.	PROPN
ejpam-6602	547	11	h.	h.	PROPN
ejpam-6602	547	12	l.	l.	PROPN
ejpam-6602	547	13	aarts	aarts	PROPN
ejpam-6602	547	14	.	.	PUNCT
ejpam-6602	548	1	simulated	simulate	VERB
ejpam-6602	548	2	annealing	annealing	NOUN
ejpam-6602	548	3	:	:	PUNCT
ejpam-6602	548	4	theory	theory	NOUN
ejpam-6602	548	5	and	and	CCONJ
ejpam-6602	548	6	applications	application	NOUN
ejpam-6602	548	7	.	.	PUNCT
ejpam-6602	549	1	mathematics	mathematic	NOUN
ejpam-6602	549	2	and	and	CCONJ
ejpam-6602	549	3	operations	operation	NOUN
ejpam-6602	549	4	research	research	NOUN
ejpam-6602	549	5	,	,	PUNCT
ejpam-6602	549	6	8(4):371–385	8(4):371–385	PROPN
ejpam-6602	549	7	,	,	PUNCT
ejpam-6602	549	8	1987	1987	NUM
ejpam-6602	549	9	.	.	PUNCT
ejpam-6602	550	1	[	[	X
ejpam-6602	550	2	28	28	NUM
ejpam-6602	550	3	]	]	X
ejpam-6602	550	4	maurice	maurice	PROPN
ejpam-6602	550	5	clerc	clerc	PROPN
ejpam-6602	550	6	and	and	CCONJ
ejpam-6602	550	7	james	james	PROPN
ejpam-6602	550	8	kennedy	kennedy	PROPN
ejpam-6602	550	9	.	.	PUNCT
ejpam-6602	551	1	the	the	DET
ejpam-6602	551	2	particle	particle	NOUN
ejpam-6602	551	3	swarm	swarm	NOUN
ejpam-6602	551	4	explosion	explosion	NOUN
ejpam-6602	551	5	,	,	PUNCT
ejpam-6602	551	6	stability	stability	NOUN
ejpam-6602	551	7	,	,	PUNCT
ejpam-6602	551	8	and	and	CCONJ
ejpam-6602	551	9	convergence	convergence	NOUN
ejpam-6602	551	10	in	in	ADP
ejpam-6602	551	11	a	a	DET
ejpam-6602	551	12	multidimensional	multidimensional	ADJ
ejpam-6602	551	13	complex	complex	ADJ
ejpam-6602	551	14	space	space	NOUN
ejpam-6602	551	15	.	.	PUNCT
ejpam-6602	552	1	ieee	ieee	NOUN
ejpam-6602	552	2	transactions	transaction	NOUN
ejpam-6602	552	3	on	on	ADP
ejpam-6602	552	4	evolutionary	evolutionary	ADJ
ejpam-6602	552	5	computation	computation	NOUN
ejpam-6602	552	6	,	,	PUNCT
ejpam-6602	552	7	6(1):58–73	6(1):58–73	NUM
ejpam-6602	552	8	,	,	PUNCT
ejpam-6602	552	9	2002	2002	NUM
ejpam-6602	552	10	.	.	PUNCT
ejpam-6602	553	1	[	[	X
ejpam-6602	553	2	29	29	NUM
ejpam-6602	553	3	]	]	PUNCT
ejpam-6602	553	4	thomas	thomas	PROPN
ejpam-6602	553	5	stützle	stützle	PROPN
ejpam-6602	553	6	and	and	CCONJ
ejpam-6602	553	7	holger	holger	PROPN
ejpam-6602	553	8	h.	h.	PROPN
ejpam-6602	553	9	hoos	hoos	PROPN
ejpam-6602	553	10	.	.	PUNCT
ejpam-6602	554	1	max	max	PROPN
ejpam-6602	554	2	-	-	PUNCT
ejpam-6602	554	3	min	min	PROPN
ejpam-6602	554	4	ant	ant	ADJ
ejpam-6602	554	5	system	system	NOUN
ejpam-6602	554	6	.	.	PUNCT
ejpam-6602	555	1	future	future	ADJ
ejpam-6602	555	2	generation	generation	NOUN
ejpam-6602	555	3	computer	computer	NOUN
ejpam-6602	555	4	systems	system	NOUN
ejpam-6602	555	5	,	,	PUNCT
ejpam-6602	555	6	16(8):889–914	16(8):889–914	NUM
ejpam-6602	555	7	,	,	PUNCT
ejpam-6602	555	8	2000	2000	NUM
ejpam-6602	555	9	.	.	PUNCT
ejpam-6602	556	1	[	[	X
ejpam-6602	556	2	30	30	NUM
ejpam-6602	556	3	]	]	X
ejpam-6602	556	4	kassem	kassem	PROPN
ejpam-6602	556	5	danach	danach	PROPN
ejpam-6602	556	6	,	,	PUNCT
ejpam-6602	556	7	hassan	hassan	PROPN
ejpam-6602	556	8	harb	harb	PROPN
ejpam-6602	556	9	,	,	PUNCT
ejpam-6602	556	10	wael	wael	PROPN
ejpam-6602	556	11	hosny	hosny	PROPN
ejpam-6602	556	12	fouad	fouad	PROPN
ejpam-6602	556	13	aly	aly	PROPN
ejpam-6602	556	14	,	,	PUNCT
ejpam-6602	556	15	hassan	hassan	PROPN
ejpam-6602	556	16	kanj	kanj	PROPN
ejpam-6602	556	17	,	,	PUNCT
ejpam-6602	556	18	and	and	CCONJ
ejpam-6602	556	19	ameer	ameer	PROPN
ejpam-6602	556	20	sardar	sardar	PROPN
ejpam-6602	556	21	kwekha	kwekha	PROPN
ejpam-6602	556	22	rashid	rashid	PROPN
ejpam-6602	556	23	.	.	PUNCT
ejpam-6602	556	24	bio	bio	PROPN
ejpam-6602	556	25	-	-	PUNCT
ejpam-6602	556	26	inspired	inspire	VERB
ejpam-6602	556	27	optimization	optimization	NOUN
ejpam-6602	556	28	through	through	ADP
ejpam-6602	556	29	photosynthesis	photosynthesis	NOUN
ejpam-6602	556	30	:	:	PUNCT
ejpam-6602	556	31	a	a	DET
ejpam-6602	556	32	novel	novel	ADJ
ejpam-6602	556	33	approach	approach	NOUN
ejpam-6602	556	34	for	for	ADP
ejpam-6602	556	35	balancing	balance	VERB
ejpam-6602	556	36	exploration	exploration	NOUN
ejpam-6602	556	37	and	and	CCONJ
ejpam-6602	556	38	exploitation	exploitation	NOUN
ejpam-6602	556	39	in	in	ADP
ejpam-6602	556	40	complex	complex	ADJ
ejpam-6602	556	41	systems	system	NOUN
ejpam-6602	556	42	.	.	PUNCT
ejpam-6602	557	1	european	european	ADJ
ejpam-6602	557	2	journal	journal	PROPN
ejpam-6602	557	3	of	of	ADP
ejpam-6602	557	4	pure	pure	ADJ
ejpam-6602	557	5	and	and	CCONJ
ejpam-6602	557	6	applied	applied	ADJ
ejpam-6602	557	7	mathematics	mathematic	NOUN
ejpam-6602	557	8	,	,	PUNCT
ejpam-6602	557	9	18(2):5980–5980	18(2):5980–5980	NUM
ejpam-6602	557	10	,	,	PUNCT
ejpam-6602	557	11	2025	2025	NUM
ejpam-6602	557	12	.	.	PUNCT
ejpam-6602	558	1	[	[	X
ejpam-6602	558	2	31	31	NUM
ejpam-6602	558	3	]	]	PUNCT
ejpam-6602	558	4	kassem	kassem	PROPN
ejpam-6602	558	5	danach	danach	PROPN
ejpam-6602	558	6	,	,	PUNCT
ejpam-6602	558	7	hassan	hassan	PROPN
ejpam-6602	558	8	harb	harb	PROPN
ejpam-6602	558	9	,	,	PUNCT
ejpam-6602	558	10	louai	louai	PROPN
ejpam-6602	558	11	saker	saker	NOUN
ejpam-6602	558	12	,	,	PUNCT
ejpam-6602	558	13	and	and	CCONJ
ejpam-6602	558	14	ali	ali	PROPN
ejpam-6602	558	15	raad	raad	PROPN
ejpam-6602	558	16	.	.	PUNCT
ejpam-6602	559	1	quantum	quantum	NOUN
ejpam-6602	559	2	-	-	PUNCT
ejpam-6602	559	3	inspired	inspire	VERB
ejpam-6602	559	4	hyperheuristic	hyperheuristic	ADJ
ejpam-6602	559	5	framework	framework	NOUN
ejpam-6602	559	6	for	for	ADP
ejpam-6602	559	7	solving	solve	VERB
ejpam-6602	559	8	dynamic	dynamic	ADJ
ejpam-6602	559	9	multi	multi	ADJ
ejpam-6602	559	10	-	-	ADJ
ejpam-6602	559	11	objective	objective	ADJ
ejpam-6602	559	12	combinatorial	combinatorial	ADJ
ejpam-6602	559	13	problems	problem	NOUN
ejpam-6602	559	14	in	in	ADP
ejpam-6602	559	15	disaster	disaster	NOUN
ejpam-6602	559	16	logistics	logistic	NOUN
ejpam-6602	559	17	.	.	PUNCT
ejpam-6602	560	1	world	world	PROPN
ejpam-6602	560	2	electric	electric	PROPN
ejpam-6602	560	3	vehicle	vehicle	NOUN
ejpam-6602	560	4	journal	journal	PROPN
ejpam-6602	560	5	,	,	PUNCT
ejpam-6602	560	6	16(6):310	16(6):310	NUM
ejpam-6602	560	7	,	,	PUNCT
ejpam-6602	560	8	2025	2025	NUM
ejpam-6602	560	9	.	.	PUNCT
ejpam-6602	561	1	k.	k.	PROPN
ejpam-6602	561	2	danach	danach	PROPN
ejpam-6602	561	3	et	et	PROPN
ejpam-6602	561	4	al	al	PROPN
ejpam-6602	561	5	.	.	PUNCT
ejpam-6602	561	6	/	/	SYM
ejpam-6602	561	7	eur	eur	PROPN
ejpam-6602	561	8	.	.	PUNCT
ejpam-6602	562	1	j.	j.	PROPN
ejpam-6602	562	2	pure	pure	PROPN
ejpam-6602	562	3	appl	appl	PROPN
ejpam-6602	562	4	.	.	PROPN
ejpam-6602	562	5	math	math	PROPN
ejpam-6602	562	6	,	,	PUNCT
ejpam-6602	562	7	18	18	NUM
ejpam-6602	562	8	(	(	PUNCT
ejpam-6602	562	9	3	3	NUM
ejpam-6602	562	10	)	)	PUNCT
ejpam-6602	562	11	(	(	PUNCT
ejpam-6602	562	12	2025	2025	NUM
ejpam-6602	562	13	)	)	PUNCT
ejpam-6602	562	14	,	,	PUNCT
ejpam-6602	562	15	6602	6602	NUM
ejpam-6602	562	16	36	36	NUM
ejpam-6602	562	17	of	of	ADP
ejpam-6602	562	18	37	37	NUM
ejpam-6602	562	19	[	[	X
ejpam-6602	562	20	32	32	NUM
ejpam-6602	562	21	]	]	X
ejpam-6602	562	22	el	el	PROPN
ejpam-6602	562	23	-	-	PUNCT
ejpam-6602	562	24	ghazali	ghazali	PROPN
ejpam-6602	562	25	talbi	talbi	PROPN
ejpam-6602	562	26	.	.	PUNCT
ejpam-6602	563	1	hybrid	hybrid	ADJ
ejpam-6602	563	2	metaheuristics	metaheuristic	NOUN
ejpam-6602	563	3	,	,	PUNCT
ejpam-6602	563	4	volume	volume	NOUN
ejpam-6602	563	5	136	136	NUM
ejpam-6602	563	6	of	of	ADP
ejpam-6602	563	7	international	international	ADJ
ejpam-6602	563	8	series	series	NOUN
ejpam-6602	563	9	in	in	ADP
ejpam-6602	563	10	operations	operation	NOUN
ejpam-6602	563	11	research	research	NOUN
ejpam-6602	563	12	&	&	CCONJ
ejpam-6602	563	13	management	management	NOUN
ejpam-6602	563	14	science	science	NOUN
ejpam-6602	563	15	.	.	PUNCT
ejpam-6602	564	1	springer	springer	NOUN
ejpam-6602	564	2	,	,	PUNCT
ejpam-6602	564	3	2016	2016	NUM
ejpam-6602	564	4	.	.	PUNCT
ejpam-6602	565	1	[	[	X
ejpam-6602	565	2	33	33	NUM
ejpam-6602	565	3	]	]	PUNCT
ejpam-6602	565	4	pablo	pablo	PROPN
ejpam-6602	565	5	moscato	moscato	PROPN
ejpam-6602	565	6	.	.	PUNCT
ejpam-6602	566	1	on	on	ADP
ejpam-6602	566	2	evolution	evolution	NOUN
ejpam-6602	566	3	,	,	PUNCT
ejpam-6602	566	4	search	search	NOUN
ejpam-6602	566	5	,	,	PUNCT
ejpam-6602	566	6	optimization	optimization	NOUN
ejpam-6602	566	7	,	,	PUNCT
ejpam-6602	566	8	genetic	genetic	ADJ
ejpam-6602	566	9	algorithms	algorithm	NOUN
ejpam-6602	566	10	and	and	CCONJ
ejpam-6602	566	11	martial	martial	ADJ
ejpam-6602	566	12	arts	art	NOUN
ejpam-6602	566	13	:	:	PUNCT
ejpam-6602	566	14	towards	towards	ADP
ejpam-6602	566	15	memetic	memetic	ADJ
ejpam-6602	566	16	algorithms	algorithm	NOUN
ejpam-6602	566	17	.	.	PUNCT
ejpam-6602	567	1	in	in	ADP
ejpam-6602	567	2	caltech	caltech	PROPN
ejpam-6602	567	3	concurrent	concurrent	ADJ
ejpam-6602	567	4	computation	computation	NOUN
ejpam-6602	567	5	program	program	NOUN
ejpam-6602	567	6	,	,	PUNCT
ejpam-6602	567	7	c3p	c3p	PROPN
ejpam-6602	567	8	report	report	VERB
ejpam-6602	567	9	826	826	NUM
ejpam-6602	567	10	,	,	PUNCT
ejpam-6602	567	11	pages	page	NOUN
ejpam-6602	567	12	1–15	1–15	PROPN
ejpam-6602	567	13	,	,	PUNCT
ejpam-6602	567	14	1989	1989	NUM
ejpam-6602	567	15	.	.	PUNCT
ejpam-6602	568	1	[	[	X
ejpam-6602	568	2	34	34	NUM
ejpam-6602	568	3	]	]	SYM
ejpam-6602	568	4	ferrante	ferrante	PROPN
ejpam-6602	568	5	neri	neri	PROPN
ejpam-6602	568	6	,	,	PUNCT
ejpam-6602	568	7	carlos	carlos	PROPN
ejpam-6602	568	8	cotta	cotta	PROPN
ejpam-6602	568	9	,	,	PUNCT
ejpam-6602	568	10	and	and	CCONJ
ejpam-6602	568	11	pablo	pablo	PROPN
ejpam-6602	568	12	moscato	moscato	PROPN
ejpam-6602	568	13	.	.	PUNCT
ejpam-6602	569	1	handbook	handbook	NOUN
ejpam-6602	569	2	of	of	ADP
ejpam-6602	569	3	memetic	memetic	ADJ
ejpam-6602	569	4	algorithms	algorithm	NOUN
ejpam-6602	569	5	,	,	PUNCT
ejpam-6602	569	6	volume	volume	NOUN
ejpam-6602	569	7	379	379	NUM
ejpam-6602	569	8	of	of	ADP
ejpam-6602	569	9	studies	study	NOUN
ejpam-6602	569	10	in	in	ADP
ejpam-6602	569	11	computational	computational	ADJ
ejpam-6602	569	12	intelligence	intelligence	NOUN
ejpam-6602	569	13	.	.	PUNCT
ejpam-6602	570	1	springer	springer	NOUN
ejpam-6602	570	2	,	,	PUNCT
ejpam-6602	570	3	2012	2012	NUM
ejpam-6602	570	4	.	.	PUNCT
ejpam-6602	571	1	[	[	X
ejpam-6602	571	2	35	35	NUM
ejpam-6602	571	3	]	]	X
ejpam-6602	571	4	y.	y.	PROPN
ejpam-6602	571	5	zhao	zhao	PROPN
ejpam-6602	571	6	,	,	PUNCT
ejpam-6602	571	7	s.	s.	PROPN
ejpam-6602	571	8	yang	yang	PROPN
ejpam-6602	571	9	,	,	PUNCT
ejpam-6602	571	10	and	and	CCONJ
ejpam-6602	571	11	x.	x.	NOUN
ejpam-6602	571	12	yao	yao	PROPN
ejpam-6602	571	13	.	.	PUNCT
ejpam-6602	572	1	a	a	DET
ejpam-6602	572	2	hybrid	hybrid	ADJ
ejpam-6602	572	3	genetic	genetic	ADJ
ejpam-6602	572	4	algorithm	algorithm	NOUN
ejpam-6602	572	5	and	and	CCONJ
ejpam-6602	572	6	particle	particle	NOUN
ejpam-6602	572	7	swarm	swarm	NOUN
ejpam-6602	572	8	optimization	optimization	NOUN
ejpam-6602	572	9	algorithm	algorithm	NOUN
ejpam-6602	572	10	for	for	ADP
ejpam-6602	572	11	dynamic	dynamic	ADJ
ejpam-6602	572	12	optimization	optimization	NOUN
ejpam-6602	572	13	problems	problem	NOUN
ejpam-6602	572	14	.	.	PUNCT
ejpam-6602	573	1	ieee	ieee	NOUN
ejpam-6602	573	2	transactions	transaction	NOUN
ejpam-6602	573	3	on	on	ADP
ejpam-6602	573	4	evolutionary	evolutionary	ADJ
ejpam-6602	573	5	computation	computation	NOUN
ejpam-6602	573	6	,	,	PUNCT
ejpam-6602	573	7	12(4):454–479	12(4):454–479	NUM
ejpam-6602	573	8	,	,	PUNCT
ejpam-6602	573	9	2008	2008	NUM
ejpam-6602	573	10	.	.	PUNCT
ejpam-6602	574	1	[	[	X
ejpam-6602	574	2	36	36	NUM
ejpam-6602	574	3	]	]	X
ejpam-6602	574	4	d.	d.	PROPN
ejpam-6602	574	5	teodorović	teodorović	NOUN
ejpam-6602	574	6	and	and	CCONJ
ejpam-6602	574	7	m.	m.	NOUN
ejpam-6602	574	8	dell’orco	dell’orco	PROPN
ejpam-6602	574	9	.	.	PUNCT
ejpam-6602	575	1	bee	bee	PROPN
ejpam-6602	575	2	colony	colony	NOUN
ejpam-6602	575	3	optimization	optimization	NOUN
ejpam-6602	575	4	—	—	PUNCT
ejpam-6602	575	5	a	a	DET
ejpam-6602	575	6	cooperative	cooperative	ADJ
ejpam-6602	575	7	learning	learning	NOUN
ejpam-6602	575	8	approach	approach	NOUN
ejpam-6602	575	9	to	to	ADP
ejpam-6602	575	10	complex	complex	ADJ
ejpam-6602	575	11	transportation	transportation	NOUN
ejpam-6602	575	12	problems	problem	NOUN
ejpam-6602	575	13	.	.	PUNCT
ejpam-6602	576	1	advanced	advanced	ADJ
ejpam-6602	576	2	or	or	CCONJ
ejpam-6602	576	3	and	and	CCONJ
ejpam-6602	576	4	ai	ai	VERB
ejpam-6602	576	5	methods	method	NOUN
ejpam-6602	576	6	in	in	ADP
ejpam-6602	576	7	transportation	transportation	NOUN
ejpam-6602	576	8	,	,	PUNCT
ejpam-6602	576	9	2:51–60	2:51–60	NUM
ejpam-6602	576	10	,	,	PUNCT
ejpam-6602	576	11	2006	2006	NUM
ejpam-6602	576	12	.	.	PUNCT
ejpam-6602	577	1	[	[	X
ejpam-6602	577	2	37	37	NUM
ejpam-6602	577	3	]	]	PUNCT
ejpam-6602	577	4	e.	e.	PROPN
ejpam-6602	577	5	k.	k.	PROPN
ejpam-6602	577	6	burke	burke	PROPN
ejpam-6602	577	7	,	,	PUNCT
ejpam-6602	577	8	m.	m.	NOUN
ejpam-6602	577	9	gendreau	gendreau	PROPN
ejpam-6602	577	10	,	,	PUNCT
ejpam-6602	577	11	m.	m.	PROPN
ejpam-6602	577	12	hyde	hyde	PROPN
ejpam-6602	577	13	,	,	PUNCT
ejpam-6602	577	14	g.	g.	PROPN
ejpam-6602	577	15	kendall	kendall	PROPN
ejpam-6602	577	16	,	,	PUNCT
ejpam-6602	577	17	g.	g.	PROPN
ejpam-6602	577	18	ochoa	ochoa	PROPN
ejpam-6602	577	19	,	,	PUNCT
ejpam-6602	577	20	e.	e.	PROPN
ejpam-6602	577	21	özcan	özcan	PROPN
ejpam-6602	577	22	,	,	PUNCT
ejpam-6602	577	23	and	and	CCONJ
ejpam-6602	577	24	r.	r.	PROPN
ejpam-6602	577	25	qu	qu	PROPN
ejpam-6602	577	26	.	.	PROPN
ejpam-6602	577	27	hyper	hyper	NOUN
ejpam-6602	577	28	-	-	NOUN
ejpam-6602	577	29	heuristics	heuristic	NOUN
ejpam-6602	577	30	:	:	PUNCT
ejpam-6602	577	31	a	a	DET
ejpam-6602	577	32	survey	survey	NOUN
ejpam-6602	577	33	of	of	ADP
ejpam-6602	577	34	the	the	DET
ejpam-6602	577	35	state	state	NOUN
ejpam-6602	577	36	of	of	ADP
ejpam-6602	577	37	the	the	DET
ejpam-6602	577	38	art	art	NOUN
ejpam-6602	577	39	.	.	PUNCT
ejpam-6602	578	1	journal	journal	NOUN
ejpam-6602	578	2	of	of	ADP
ejpam-6602	578	3	the	the	DET
ejpam-6602	578	4	operational	operational	ADJ
ejpam-6602	578	5	research	research	NOUN
ejpam-6602	578	6	society	society	NOUN
ejpam-6602	578	7	,	,	PUNCT
ejpam-6602	578	8	64(12):1695–1724	64(12):1695–1724	NUM
ejpam-6602	578	9	,	,	PUNCT
ejpam-6602	578	10	2010	2010	NUM
ejpam-6602	578	11	.	.	PUNCT
ejpam-6602	579	1	[	[	X
ejpam-6602	579	2	38	38	NUM
ejpam-6602	579	3	]	]	PUNCT
ejpam-6602	579	4	kassem	kassem	PROPN
ejpam-6602	579	5	danach	danach	PROPN
ejpam-6602	579	6	.	.	PUNCT
ejpam-6602	580	1	hyperheuristics	hyperheuristic	NOUN
ejpam-6602	580	2	in	in	ADP
ejpam-6602	580	3	logistics	logistic	NOUN
ejpam-6602	580	4	.	.	PUNCT
ejpam-6602	581	1	phd	phd	NOUN
ejpam-6602	581	2	thesis	thesis	PROPN
ejpam-6602	581	3	,	,	PUNCT
ejpam-6602	581	4	ecole	ecole	X
ejpam-6602	581	5	centrale	centrale	X
ejpam-6602	581	6	de	de	X
ejpam-6602	581	7	lille	lille	PROPN
ejpam-6602	581	8	,	,	PUNCT
ejpam-6602	581	9	2016	2016	NUM
ejpam-6602	581	10	.	.	PUNCT
ejpam-6602	582	1	[	[	X
ejpam-6602	582	2	39	39	NUM
ejpam-6602	582	3	]	]	PUNCT
ejpam-6602	582	4	kassem	kassem	PROPN
ejpam-6602	582	5	danach	danach	PROPN
ejpam-6602	582	6	,	,	PUNCT
ejpam-6602	582	7	jomana	jomana	PROPN
ejpam-6602	582	8	al	al	PROPN
ejpam-6602	582	9	-	-	PUNCT
ejpam-6602	582	10	haj	haj	PROPN
ejpam-6602	582	11	hassan	hassan	PROPN
ejpam-6602	582	12	,	,	PUNCT
ejpam-6602	582	13	wissam	wissam	PROPN
ejpam-6602	582	14	khalil	khalil	PROPN
ejpam-6602	582	15	,	,	PUNCT
ejpam-6602	582	16	and	and	CCONJ
ejpam-6602	582	17	shahin	shahin	PROPN
ejpam-6602	582	18	gelareh	gelareh	NOUN
ejpam-6602	582	19	.	.	PUNCT
ejpam-6602	583	1	routing	route	VERB
ejpam-6602	583	2	heterogeneous	heterogeneous	ADJ
ejpam-6602	583	3	mobile	mobile	ADJ
ejpam-6602	583	4	hospital	hospital	NOUN
ejpam-6602	583	5	with	with	ADP
ejpam-6602	583	6	different	different	ADJ
ejpam-6602	583	7	patients	patient	NOUN
ejpam-6602	583	8	priorities	priority	NOUN
ejpam-6602	583	9	:	:	PUNCT
ejpam-6602	583	10	hyper	hyper	ADJ
ejpam-6602	583	11	-	-	ADJ
ejpam-6602	583	12	heuristic	heuristic	ADJ
ejpam-6602	583	13	approach	approach	NOUN
ejpam-6602	583	14	.	.	PUNCT
ejpam-6602	584	1	in	in	ADP
ejpam-6602	584	2	2015	2015	NUM
ejpam-6602	584	3	fifth	fifth	ADJ
ejpam-6602	584	4	international	international	ADJ
ejpam-6602	584	5	conference	conference	NOUN
ejpam-6602	584	6	on	on	ADP
ejpam-6602	584	7	digital	digital	ADJ
ejpam-6602	584	8	information	information	NOUN
ejpam-6602	584	9	and	and	CCONJ
ejpam-6602	584	10	communication	communication	NOUN
ejpam-6602	584	11	technology	technology	NOUN
ejpam-6602	584	12	and	and	CCONJ
ejpam-6602	584	13	its	its	PRON
ejpam-6602	584	14	applications	application	NOUN
ejpam-6602	584	15	(	(	PUNCT
ejpam-6602	584	16	dictap	dictap	NOUN
ejpam-6602	584	17	)	)	PUNCT
ejpam-6602	584	18	,	,	PUNCT
ejpam-6602	584	19	pages	page	NOUN
ejpam-6602	584	20	155–158	155–158	NUM
ejpam-6602	584	21	.	.	PUNCT
ejpam-6602	584	22	ieee	ieee	NOUN
ejpam-6602	584	23	,	,	PUNCT
ejpam-6602	584	24	2015	2015	NUM
ejpam-6602	584	25	.	.	PUNCT
ejpam-6602	585	1	[	[	X
ejpam-6602	585	2	40	40	NUM
ejpam-6602	585	3	]	]	X
ejpam-6602	585	4	abbas	abbas	PROPN
ejpam-6602	585	5	tarhini	tarhini	NOUN
ejpam-6602	585	6	,	,	PUNCT
ejpam-6602	585	7	kassem	kassem	PROPN
ejpam-6602	585	8	danach	danach	PROPN
ejpam-6602	585	9	,	,	PUNCT
ejpam-6602	585	10	and	and	CCONJ
ejpam-6602	585	11	antoine	antoine	PROPN
ejpam-6602	585	12	harfouche	harfouche	PROPN
ejpam-6602	585	13	.	.	PUNCT
ejpam-6602	586	1	swarm	swarm	NOUN
ejpam-6602	586	2	intelligence	intelligence	NOUN
ejpam-6602	586	3	-	-	PUNCT
ejpam-6602	586	4	based	base	VERB
ejpam-6602	586	5	hyper	hyper	NOUN
ejpam-6602	586	6	-	-	NOUN
ejpam-6602	586	7	heuristic	heuristic	NOUN
ejpam-6602	586	8	for	for	ADP
ejpam-6602	586	9	the	the	DET
ejpam-6602	586	10	vehicle	vehicle	NOUN
ejpam-6602	586	11	routing	routing	NOUN
ejpam-6602	586	12	problem	problem	NOUN
ejpam-6602	586	13	with	with	ADP
ejpam-6602	586	14	prioritized	prioritize	VERB
ejpam-6602	586	15	customers	customer	NOUN
ejpam-6602	586	16	.	.	PUNCT
ejpam-6602	587	1	annals	annal	NOUN
ejpam-6602	587	2	of	of	ADP
ejpam-6602	587	3	operations	operation	NOUN
ejpam-6602	587	4	research	research	NOUN
ejpam-6602	587	5	,	,	PUNCT
ejpam-6602	587	6	pages	page	NOUN
ejpam-6602	587	7	1–22	1–22	PROPN
ejpam-6602	587	8	,	,	PUNCT
ejpam-6602	587	9	2022	2022	NUM
ejpam-6602	587	10	.	.	PUNCT
ejpam-6602	588	1	[	[	X
ejpam-6602	588	2	41	41	NUM
ejpam-6602	588	3	]	]	X
ejpam-6602	588	4	f.	f.	PROPN
ejpam-6602	588	5	negrello	negrello	PROPN
ejpam-6602	588	6	,	,	PUNCT
ejpam-6602	588	7	l.	l.	PROPN
ejpam-6602	588	8	martino	martino	PROPN
ejpam-6602	588	9	,	,	PUNCT
ejpam-6602	588	10	and	and	CCONJ
ejpam-6602	588	11	f.	f.	PROPN
ejpam-6602	588	12	louzada	louzada	PROPN
ejpam-6602	588	13	.	.	PUNCT
ejpam-6602	589	1	a	a	DET
ejpam-6602	589	2	review	review	NOUN
ejpam-6602	589	3	on	on	ADP
ejpam-6602	589	4	hyper	hyper	ADJ
ejpam-6602	589	5	-	-	ADJ
ejpam-6602	589	6	heuristic	heuristic	ADJ
ejpam-6602	589	7	approaches	approach	NOUN
ejpam-6602	589	8	for	for	ADP
ejpam-6602	589	9	combinatorial	combinatorial	ADJ
ejpam-6602	589	10	optimization	optimization	NOUN
ejpam-6602	589	11	.	.	PUNCT
ejpam-6602	590	1	expert	expert	NOUN
ejpam-6602	590	2	systems	system	NOUN
ejpam-6602	590	3	with	with	ADP
ejpam-6602	590	4	applications	application	NOUN
ejpam-6602	590	5	,	,	PUNCT
ejpam-6602	590	6	194:116496	194:116496	NOUN
ejpam-6602	590	7	,	,	PUNCT
ejpam-6602	590	8	2022	2022	NUM
ejpam-6602	590	9	.	.	PUNCT
ejpam-6602	591	1	[	[	X
ejpam-6602	591	2	42	42	NUM
ejpam-6602	591	3	]	]	X
ejpam-6602	591	4	michal	michal	PROPN
ejpam-6602	591	5	lukes	lukes	PROPN
ejpam-6602	591	6	.	.	PUNCT
ejpam-6602	592	1	hybrid	hybrid	ADJ
ejpam-6602	592	2	approaches	approach	NOUN
ejpam-6602	592	3	for	for	ADP
ejpam-6602	592	4	combinatorial	combinatorial	ADJ
ejpam-6602	592	5	optimization	optimization	NOUN
ejpam-6602	592	6	problems	problem	NOUN
ejpam-6602	592	7	.	.	PUNCT
ejpam-6602	593	1	master	master	NOUN
ejpam-6602	593	2	’s	’s	PART
ejpam-6602	593	3	thesis	thesis	NOUN
ejpam-6602	593	4	,	,	PUNCT
ejpam-6602	593	5	czech	czech	PROPN
ejpam-6602	593	6	technical	technical	PROPN
ejpam-6602	593	7	university	university	PROPN
ejpam-6602	593	8	in	in	ADP
ejpam-6602	593	9	prague	prague	PROPN
ejpam-6602	593	10	,	,	PUNCT
ejpam-6602	593	11	2024	2024	NUM
ejpam-6602	593	12	.	.	PUNCT
ejpam-6602	594	1	[	[	X
ejpam-6602	594	2	43	43	NUM
ejpam-6602	594	3	]	]	X
ejpam-6602	594	4	f.	f.	PROPN
ejpam-6602	594	5	herrera	herrera	PROPN
ejpam-6602	594	6	,	,	PUNCT
ejpam-6602	594	7	m.	m.	NOUN
ejpam-6602	594	8	lozano	lozano	PROPN
ejpam-6602	594	9	,	,	PUNCT
ejpam-6602	594	10	and	and	CCONJ
ejpam-6602	594	11	j.	j.	PROPN
ejpam-6602	594	12	l.	l.	PROPN
ejpam-6602	594	13	verdegay	verdegay	PROPN
ejpam-6602	594	14	.	.	PUNCT
ejpam-6602	595	1	tuning	tune	VERB
ejpam-6602	595	2	fuzzy	fuzzy	ADJ
ejpam-6602	595	3	logic	logic	NOUN
ejpam-6602	595	4	controllers	controller	NOUN
ejpam-6602	595	5	by	by	ADP
ejpam-6602	595	6	genetic	genetic	ADJ
ejpam-6602	595	7	algorithms	algorithm	NOUN
ejpam-6602	595	8	.	.	PUNCT
ejpam-6602	596	1	international	international	ADJ
ejpam-6602	596	2	journal	journal	PROPN
ejpam-6602	596	3	of	of	ADP
ejpam-6602	596	4	approximate	approximate	ADJ
ejpam-6602	596	5	reasoning	reasoning	NOUN
ejpam-6602	596	6	,	,	PUNCT
ejpam-6602	596	7	12(3	12(3	PROPN
ejpam-6602	596	8	-	-	SYM
ejpam-6602	596	9	4):299–315	4):299–315	NUM
ejpam-6602	596	10	,	,	PUNCT
ejpam-6602	596	11	1996	1996	NUM
ejpam-6602	596	12	.	.	PUNCT
ejpam-6602	597	1	[	[	X
ejpam-6602	597	2	44	44	NUM
ejpam-6602	597	3	]	]	PUNCT
ejpam-6602	597	4	a.	a.	PROPN
ejpam-6602	597	5	e.	e.	PROPN
ejpam-6602	597	6	eiben	eiben	PROPN
ejpam-6602	597	7	and	and	CCONJ
ejpam-6602	597	8	j.	j.	PROPN
ejpam-6602	597	9	e.	e.	PROPN
ejpam-6602	597	10	smith	smith	PROPN
ejpam-6602	597	11	.	.	PUNCT
ejpam-6602	598	1	introduction	introduction	NOUN
ejpam-6602	598	2	to	to	ADP
ejpam-6602	598	3	evolutionary	evolutionary	ADJ
ejpam-6602	598	4	computing	computing	NOUN
ejpam-6602	598	5	.	.	PUNCT
ejpam-6602	599	1	springer	springer	NOUN
ejpam-6602	599	2	,	,	PUNCT
ejpam-6602	599	3	2nd	2nd	PROPN
ejpam-6602	599	4	edition	edition	NOUN
ejpam-6602	599	5	,	,	PUNCT
ejpam-6602	599	6	2011	2011	NUM
ejpam-6602	599	7	.	.	PUNCT
ejpam-6602	600	1	[	[	X
ejpam-6602	600	2	45	45	NUM
ejpam-6602	600	3	]	]	PUNCT
ejpam-6602	600	4	zizhen	zizhen	PROPN
ejpam-6602	600	5	zhang	zhang	PROPN
ejpam-6602	600	6	,	,	PUNCT
ejpam-6602	600	7	zhiyuan	zhiyuan	PROPN
ejpam-6602	600	8	wu	wu	PROPN
ejpam-6602	600	9	,	,	PUNCT
ejpam-6602	600	10	hang	hang	PROPN
ejpam-6602	600	11	zhang	zhang	PROPN
ejpam-6602	600	12	,	,	PUNCT
ejpam-6602	600	13	and	and	CCONJ
ejpam-6602	600	14	jiahai	jiahai	PROPN
ejpam-6602	600	15	wang	wang	PROPN
ejpam-6602	600	16	.	.	PUNCT
ejpam-6602	601	1	meta	meta	ADJ
ejpam-6602	601	2	-	-	PUNCT
ejpam-6602	601	3	learning	learning	NOUN
ejpam-6602	601	4	-	-	PUNCT
ejpam-6602	601	5	based	base	VERB
ejpam-6602	601	6	deep	deep	ADJ
ejpam-6602	601	7	reinforcement	reinforcement	NOUN
ejpam-6602	601	8	learning	learning	NOUN
ejpam-6602	601	9	for	for	ADP
ejpam-6602	601	10	multiobjective	multiobjective	ADJ
ejpam-6602	601	11	optimization	optimization	NOUN
ejpam-6602	601	12	problems	problem	NOUN
ejpam-6602	601	13	.	.	PUNCT
ejpam-6602	602	1	ieee	ieee	NOUN
ejpam-6602	602	2	transactions	transaction	NOUN
ejpam-6602	602	3	on	on	ADP
ejpam-6602	602	4	neural	neural	ADJ
ejpam-6602	602	5	networks	network	NOUN
ejpam-6602	602	6	and	and	CCONJ
ejpam-6602	602	7	learning	learning	NOUN
ejpam-6602	602	8	systems	system	NOUN
ejpam-6602	602	9	,	,	PUNCT
ejpam-6602	602	10	34(10):7978–7991	34(10):7978–7991	NUM
ejpam-6602	602	11	,	,	PUNCT
ejpam-6602	602	12	2023	2023	NUM
ejpam-6602	602	13	.	.	PUNCT
ejpam-6602	603	1	[	[	X
ejpam-6602	603	2	46	46	NUM
ejpam-6602	603	3	]	]	PUNCT
ejpam-6602	603	4	r.	r.	PROPN
ejpam-6602	603	5	s.	s.	PROPN
ejpam-6602	603	6	sutton	sutton	PROPN
ejpam-6602	603	7	and	and	CCONJ
ejpam-6602	603	8	a.	a.	PROPN
ejpam-6602	603	9	g.	g.	PROPN
ejpam-6602	603	10	barto	barto	PROPN
ejpam-6602	603	11	.	.	PUNCT
ejpam-6602	604	1	reinforcement	reinforcement	NOUN
ejpam-6602	604	2	learning	learning	NOUN
ejpam-6602	604	3	:	:	PUNCT
ejpam-6602	604	4	an	an	DET
ejpam-6602	604	5	introduction	introduction	NOUN
ejpam-6602	604	6	.	.	PUNCT
ejpam-6602	605	1	mit	mit	PROPN
ejpam-6602	605	2	press	press	NOUN
ejpam-6602	605	3	,	,	PUNCT
ejpam-6602	605	4	2018	2018	NUM
ejpam-6602	605	5	.	.	PUNCT
ejpam-6602	606	1	[	[	X
ejpam-6602	606	2	47	47	NUM
ejpam-6602	606	3	]	]	X
ejpam-6602	606	4	e.	e.	PROPN
ejpam-6602	606	5	alba	alba	PROPN
ejpam-6602	606	6	and	and	CCONJ
ejpam-6602	606	7	j.	j.	PROPN
ejpam-6602	606	8	m.	m.	PROPN
ejpam-6602	606	9	troya	troya	PROPN
ejpam-6602	606	10	.	.	PUNCT
ejpam-6602	607	1	adaptive	adaptive	ADJ
ejpam-6602	607	2	selection	selection	NOUN
ejpam-6602	607	3	of	of	ADP
ejpam-6602	607	4	crossover	crossover	NOUN
ejpam-6602	607	5	and	and	CCONJ
ejpam-6602	607	6	mutation	mutation	NOUN
ejpam-6602	607	7	operators	operator	NOUN
ejpam-6602	607	8	using	use	VERB
ejpam-6602	607	9	reinforcement	reinforcement	NOUN
ejpam-6602	607	10	learning	learning	NOUN
ejpam-6602	607	11	.	.	PUNCT
ejpam-6602	608	1	ieee	ieee	NOUN
ejpam-6602	608	2	transactions	transaction	NOUN
ejpam-6602	608	3	on	on	ADP
ejpam-6602	608	4	evolutionary	evolutionary	ADJ
ejpam-6602	608	5	computation	computation	NOUN
ejpam-6602	608	6	,	,	PUNCT
ejpam-6602	608	7	11(2):131	11(2):131	NUM
ejpam-6602	608	8	–	–	PUNCT
ejpam-6602	608	9	142	142	NUM
ejpam-6602	608	10	,	,	PUNCT
ejpam-6602	608	11	2006	2006	NUM
ejpam-6602	608	12	.	.	PUNCT
ejpam-6602	609	1	[	[	X
ejpam-6602	609	2	48	48	NUM
ejpam-6602	609	3	]	]	PUNCT
ejpam-6602	609	4	c.	c.	PROPN
ejpam-6602	609	5	li	li	PROPN
ejpam-6602	609	6	,	,	PUNCT
ejpam-6602	609	7	s.	s.	PROPN
ejpam-6602	609	8	yang	yang	PROPN
ejpam-6602	609	9	,	,	PUNCT
ejpam-6602	609	10	and	and	CCONJ
ejpam-6602	609	11	y.	y.	NOUN
ejpam-6602	609	12	he	he	PRON
ejpam-6602	609	13	.	.	PUNCT
ejpam-6602	610	1	a	a	DET
ejpam-6602	610	2	deep	deep	ADJ
ejpam-6602	610	3	reinforcement	reinforcement	NOUN
ejpam-6602	610	4	learning	learning	NOUN
ejpam-6602	610	5	-	-	PUNCT
ejpam-6602	610	6	based	base	VERB
ejpam-6602	610	7	parameter	parameter	NOUN
ejpam-6602	610	8	tuning	tuning	NOUN
ejpam-6602	610	9	method	method	NOUN
ejpam-6602	610	10	for	for	ADP
ejpam-6602	610	11	metaheuristics	metaheuristic	NOUN
ejpam-6602	610	12	.	.	PUNCT
ejpam-6602	611	1	applied	apply	VERB
ejpam-6602	611	2	soft	soft	ADJ
ejpam-6602	611	3	computing	computing	NOUN
ejpam-6602	611	4	,	,	PUNCT
ejpam-6602	611	5	119:108588	119:108588	NUM
ejpam-6602	611	6	,	,	PUNCT
ejpam-6602	611	7	2022	2022	NUM
ejpam-6602	611	8	.	.	PUNCT
ejpam-6602	612	1	k.	k.	PROPN
ejpam-6602	612	2	danach	danach	PROPN
ejpam-6602	612	3	et	et	PROPN
ejpam-6602	612	4	al	al	PROPN
ejpam-6602	612	5	.	.	PUNCT
ejpam-6602	612	6	/	/	SYM
ejpam-6602	612	7	eur	eur	PROPN
ejpam-6602	612	8	.	.	PUNCT
ejpam-6602	613	1	j.	j.	PROPN
ejpam-6602	613	2	pure	pure	PROPN
ejpam-6602	613	3	appl	appl	PROPN
ejpam-6602	613	4	.	.	PROPN
ejpam-6602	613	5	math	math	PROPN
ejpam-6602	613	6	,	,	PUNCT
ejpam-6602	613	7	18	18	NUM
ejpam-6602	613	8	(	(	PUNCT
ejpam-6602	613	9	3	3	NUM
ejpam-6602	613	10	)	)	PUNCT
ejpam-6602	613	11	(	(	PUNCT
ejpam-6602	613	12	2025	2025	NUM
ejpam-6602	613	13	)	)	PUNCT
ejpam-6602	613	14	,	,	PUNCT
ejpam-6602	613	15	6602	6602	NUM
ejpam-6602	613	16	37	37	NUM
ejpam-6602	613	17	of	of	ADP
ejpam-6602	613	18	37	37	NUM
ejpam-6602	613	19	[	[	X
ejpam-6602	613	20	49	49	NUM
ejpam-6602	613	21	]	]	PUNCT
ejpam-6602	613	22	yaodong	yaodong	PROPN
ejpam-6602	613	23	yang	yang	PROPN
ejpam-6602	613	24	and	and	CCONJ
ejpam-6602	613	25	jun	jun	PROPN
ejpam-6602	613	26	wang	wang	PROPN
ejpam-6602	613	27	.	.	PUNCT
ejpam-6602	614	1	an	an	DET
ejpam-6602	614	2	overview	overview	NOUN
ejpam-6602	614	3	of	of	ADP
ejpam-6602	614	4	multi	multi	ADJ
ejpam-6602	614	5	-	-	ADJ
ejpam-6602	614	6	agent	agent	ADJ
ejpam-6602	614	7	reinforcement	reinforcement	NOUN
ejpam-6602	614	8	learning	learning	NOUN
ejpam-6602	614	9	from	from	ADP
ejpam-6602	614	10	game	game	NOUN
ejpam-6602	614	11	theoretical	theoretical	ADJ
ejpam-6602	614	12	perspective	perspective	NOUN
ejpam-6602	614	13	.	.	PUNCT
ejpam-6602	615	1	arxiv	arxiv	PROPN
ejpam-6602	615	2	preprint	preprint	VERB
ejpam-6602	615	3	arxiv:2011.00583	arxiv:2011.00583	PROPN
ejpam-6602	615	4	,	,	PUNCT
ejpam-6602	615	5	2020	2020	NUM
ejpam-6602	615	6	.	.	PUNCT
ejpam-6602	616	1	[	[	X
ejpam-6602	616	2	50	50	NUM
ejpam-6602	616	3	]	]	X
ejpam-6602	616	4	w.	w.	PROPN
ejpam-6602	616	5	shao	shao	PROPN
ejpam-6602	616	6	,	,	PUNCT
ejpam-6602	616	7	x.	x.	PROPN
ejpam-6602	616	8	zhu	zhu	PROPN
ejpam-6602	616	9	,	,	PUNCT
ejpam-6602	616	10	and	and	CCONJ
ejpam-6602	616	11	w.	w.	PROPN
ejpam-6602	616	12	zhang	zhang	PROPN
ejpam-6602	616	13	.	.	PUNCT
ejpam-6602	617	1	a	a	DET
ejpam-6602	617	2	survey	survey	NOUN
ejpam-6602	617	3	of	of	ADP
ejpam-6602	617	4	reinforcement	reinforcement	NOUN
ejpam-6602	617	5	learning	learning	NOUN
ejpam-6602	617	6	for	for	ADP
ejpam-6602	617	7	combinatorial	combinatorial	ADJ
ejpam-6602	617	8	optimization	optimization	NOUN
ejpam-6602	617	9	.	.	PUNCT
ejpam-6602	618	1	artificial	artificial	ADJ
ejpam-6602	618	2	intelligence	intelligence	NOUN
ejpam-6602	618	3	review	review	NOUN
ejpam-6602	618	4	,	,	PUNCT
ejpam-6602	618	5	54(2):1313–1341	54(2):1313–1341	NUM
ejpam-6602	618	6	,	,	PUNCT
ejpam-6602	618	7	2020	2020	NUM
ejpam-6602	618	8	.	.	PUNCT
ejpam-6602	619	1	[	[	X
ejpam-6602	619	2	51	51	NUM
ejpam-6602	619	3	]	]	PUNCT
ejpam-6602	619	4	michele	michele	PROPN
ejpam-6602	619	5	tessari	tessari	PROPN
ejpam-6602	619	6	and	and	CCONJ
ejpam-6602	619	7	giovanni	giovanni	PROPN
ejpam-6602	619	8	iacca	iacca	PROPN
ejpam-6602	619	9	.	.	PUNCT
ejpam-6602	619	10	reinforcement	reinforcement	NOUN
ejpam-6602	619	11	learning	learning	NOUN
ejpam-6602	619	12	based	base	VERB
ejpam-6602	619	13	adaptive	adaptive	ADJ
ejpam-6602	619	14	metaheuristics	metaheuristic	NOUN
ejpam-6602	619	15	.	.	PUNCT
ejpam-6602	620	1	in	in	ADP
ejpam-6602	620	2	genetic	genetic	ADJ
ejpam-6602	620	3	and	and	CCONJ
ejpam-6602	620	4	evolutionary	evolutionary	ADJ
ejpam-6602	620	5	computation	computation	NOUN
ejpam-6602	620	6	conference	conference	NOUN
ejpam-6602	620	7	companion	companion	NOUN
ejpam-6602	620	8	(	(	PUNCT
ejpam-6602	620	9	gecco’22	gecco’22	NOUN
ejpam-6602	620	10	companion	companion	NOUN
ejpam-6602	620	11	)	)	PUNCT
ejpam-6602	620	12	,	,	PUNCT
ejpam-6602	620	13	pages	page	NOUN
ejpam-6602	620	14	1854–1861	1854–1861	NUM
ejpam-6602	620	15	.	.	PUNCT
ejpam-6602	620	16	acm	acm	PROPN
ejpam-6602	620	17	,	,	PUNCT
ejpam-6602	620	18	2022	2022	NUM
ejpam-6602	620	19	.	.	PUNCT
ejpam-6602	621	1	[	[	X
ejpam-6602	621	2	52	52	NUM
ejpam-6602	621	3	]	]	PUNCT
ejpam-6602	621	4	mingyue	mingyue	PROPN
ejpam-6602	621	5	zhang	zhang	PROPN
ejpam-6602	621	6	,	,	PUNCT
ejpam-6602	621	7	jialong	jialong	PROPN
ejpam-6602	621	8	li	li	PROPN
ejpam-6602	621	9	,	,	PUNCT
ejpam-6602	621	10	haiyan	haiyan	PROPN
ejpam-6602	621	11	zhao	zhao	PROPN
ejpam-6602	621	12	,	,	PUNCT
ejpam-6602	621	13	kenji	kenji	PROPN
ejpam-6602	621	14	tei	tei	PROPN
ejpam-6602	621	15	,	,	PUNCT
ejpam-6602	621	16	shinichi	shinichi	PROPN
ejpam-6602	621	17	honiden	honiden	PROPN
ejpam-6602	621	18	,	,	PUNCT
ejpam-6602	621	19	and	and	CCONJ
ejpam-6602	621	20	zhi	zhi	PROPN
ejpam-6602	621	21	jin	jin	PROPN
ejpam-6602	621	22	.	.	PUNCT
ejpam-6602	622	1	a	a	DET
ejpam-6602	622	2	meta	meta	ADJ
ejpam-6602	622	3	reinforcement	reinforcement	NOUN
ejpam-6602	622	4	learning	learning	NOUN
ejpam-6602	622	5	-	-	PUNCT
ejpam-6602	622	6	based	base	VERB
ejpam-6602	622	7	approach	approach	NOUN
ejpam-6602	622	8	for	for	ADP
ejpam-6602	622	9	self	self	NOUN
ejpam-6602	622	10	-	-	PUNCT
ejpam-6602	622	11	adaptive	adaptive	ADJ
ejpam-6602	622	12	systems	system	NOUN
ejpam-6602	622	13	.	.	PUNCT
ejpam-6602	623	1	in	in	ADP
ejpam-6602	623	2	2021	2021	NUM
ejpam-6602	623	3	ieee	ieee	NOUN
ejpam-6602	623	4	international	international	ADJ
ejpam-6602	623	5	conference	conference	NOUN
ejpam-6602	623	6	on	on	ADP
ejpam-6602	623	7	autonomic	autonomic	ADJ
ejpam-6602	623	8	computing	computing	NOUN
ejpam-6602	623	9	and	and	CCONJ
ejpam-6602	623	10	self	self	NOUN
ejpam-6602	623	11	-	-	PUNCT
ejpam-6602	623	12	organizing	organize	VERB
ejpam-6602	623	13	systems	system	NOUN
ejpam-6602	623	14	(	(	PUNCT
ejpam-6602	623	15	acsos	acsos	PROPN
ejpam-6602	623	16	)	)	PUNCT
ejpam-6602	623	17	,	,	PUNCT
ejpam-6602	623	18	pages	page	NOUN
ejpam-6602	623	19	1–10	1–10	PROPN
ejpam-6602	623	20	.	.	PUNCT
ejpam-6602	623	21	ieee	ieee	PROPN
ejpam-6602	623	22	,	,	PUNCT
ejpam-6602	623	23	2021	2021	NUM
ejpam-6602	623	24	.	.	PUNCT
ejpam-6602	624	1	[	[	X
ejpam-6602	624	2	53	53	NUM
ejpam-6602	624	3	]	]	PUNCT
ejpam-6602	624	4	marius	marius	PROPN
ejpam-6602	624	5	m.	m.	PROPN
ejpam-6602	624	6	solomon	solomon	PROPN
ejpam-6602	624	7	.	.	PUNCT
ejpam-6602	625	1	algorithms	algorithm	NOUN
ejpam-6602	625	2	for	for	ADP
ejpam-6602	625	3	the	the	DET
ejpam-6602	625	4	vehicle	vehicle	NOUN
ejpam-6602	625	5	routing	routing	NOUN
ejpam-6602	625	6	and	and	CCONJ
ejpam-6602	625	7	scheduling	scheduling	NOUN
ejpam-6602	625	8	problems	problem	NOUN
ejpam-6602	625	9	with	with	ADP
ejpam-6602	625	10	time	time	NOUN
ejpam-6602	625	11	window	window	NOUN
ejpam-6602	625	12	constraints	constraint	NOUN
ejpam-6602	625	13	.	.	PUNCT
ejpam-6602	626	1	operations	operation	NOUN
ejpam-6602	626	2	research	research	NOUN
ejpam-6602	626	3	,	,	PUNCT
ejpam-6602	626	4	35(2):254–265	35(2):254–265	PROPN
ejpam-6602	626	5	,	,	PUNCT
ejpam-6602	626	6	1987	1987	NUM
ejpam-6602	626	7	.	.	PUNCT
ejpam-6602	627	1	[	[	X
ejpam-6602	627	2	54	54	NUM
ejpam-6602	627	3	]	]	PUNCT
ejpam-6602	627	4	j.	j.	PROPN
ejpam-6602	627	5	e.	e.	PROPN
ejpam-6602	627	6	beasley	beasley	PROPN
ejpam-6602	627	7	.	.	PUNCT
ejpam-6602	628	1	or	or	CCONJ
ejpam-6602	628	2	-	-	PUNCT
ejpam-6602	628	3	library	library	NOUN
ejpam-6602	628	4	:	:	PUNCT
ejpam-6602	628	5	distributing	distribute	VERB
ejpam-6602	628	6	test	test	NOUN
ejpam-6602	628	7	problems	problem	NOUN
ejpam-6602	628	8	by	by	ADP
ejpam-6602	628	9	electronic	electronic	ADJ
ejpam-6602	628	10	mail	mail	NOUN
ejpam-6602	628	11	.	.	PUNCT
ejpam-6602	629	1	journal	journal	NOUN
ejpam-6602	629	2	of	of	ADP
ejpam-6602	629	3	the	the	DET
ejpam-6602	629	4	operational	operational	ADJ
ejpam-6602	629	5	research	research	NOUN
ejpam-6602	629	6	society	society	NOUN
ejpam-6602	629	7	,	,	PUNCT
ejpam-6602	629	8	41(11):1069–1072	41(11):1069–1072	NOUN
ejpam-6602	629	9	,	,	PUNCT
ejpam-6602	629	10	1990	1990	NUM
ejpam-6602	629	11	.	.	PUNCT