id	sid	tid	token	lemma	pos
ejpam-6348	1	1	european	european	PROPN
ejpam-6348	1	2	journal	journal	PROPN
ejpam-6348	1	3	of	of	ADP
ejpam-6348	1	4	pure	pure	ADJ
ejpam-6348	1	5	and	and	CCONJ
ejpam-6348	1	6	applied	applied	ADJ
ejpam-6348	1	7	mathematics	mathematic	NOUN
ejpam-6348	1	8	2025	2025	NUM
ejpam-6348	1	9	,	,	PUNCT
ejpam-6348	1	10	vol	vol	NOUN
ejpam-6348	1	11	.	.	PROPN
ejpam-6348	1	12	18	18	NUM
ejpam-6348	1	13	,	,	PUNCT
ejpam-6348	1	14	issue	issue	NOUN
ejpam-6348	1	15	3	3	NUM
ejpam-6348	1	16	,	,	PUNCT
ejpam-6348	1	17	article	article	NOUN
ejpam-6348	1	18	number	number	NOUN
ejpam-6348	1	19	6348	6348	NUM
ejpam-6348	1	20	issn	issn	PROPN
ejpam-6348	1	21	1307	1307	NUM
ejpam-6348	1	22	-	-	SYM
ejpam-6348	1	23	5543	5543	NUM
ejpam-6348	1	24	–	–	PUNCT
ejpam-6348	1	25	ejpam.com	ejpam.com	X
ejpam-6348	1	26	published	publish	VERB
ejpam-6348	1	27	by	by	ADP
ejpam-6348	1	28	new	new	PROPN
ejpam-6348	1	29	york	york	PROPN
ejpam-6348	1	30	business	business	PROPN
ejpam-6348	1	31	global	global	ADJ
ejpam-6348	1	32	adaptive	adaptive	ADJ
ejpam-6348	1	33	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	1	34	framework	framework	NOUN
ejpam-6348	1	35	for	for	ADP
ejpam-6348	1	36	hyperparameter	hyperparameter	NOUN
ejpam-6348	1	37	tuning	tune	VERB
ejpam-6348	1	38	:	:	PUNCT
ejpam-6348	1	39	a	a	DET
ejpam-6348	1	40	q	q	ADJ
ejpam-6348	1	41	-	-	PUNCT
ejpam-6348	1	42	learning	learning	NOUN
ejpam-6348	1	43	-	-	PUNCT
ejpam-6348	1	44	based	base	VERB
ejpam-6348	1	45	heuristic	heuristic	ADJ
ejpam-6348	1	46	selection	selection	NOUN
ejpam-6348	1	47	approach	approach	NOUN
ejpam-6348	1	48	with	with	ADP
ejpam-6348	1	49	simulated	simulate	VERB
ejpam-6348	1	50	annealing	anneal	VERB
ejpam-6348	1	51	acceptance	acceptance	NOUN
ejpam-6348	1	52	criteria	criterion	NOUN
ejpam-6348	1	53	kassem	kassem	PROPN
ejpam-6348	1	54	danach1,∗	danach1,∗	PROPN
ejpam-6348	1	55	,	,	PUNCT
ejpam-6348	1	56	wael	wael	PROPN
ejpam-6348	1	57	hosny	hosny	PROPN
ejpam-6348	1	58	fouad	fouad	PROPN
ejpam-6348	1	59	aly2	aly2	PROPN
ejpam-6348	1	60	1	1	NUM
ejpam-6348	1	61	basic	basic	ADJ
ejpam-6348	1	62	and	and	CCONJ
ejpam-6348	1	63	applied	apply	VERB
ejpam-6348	1	64	sciences	sciences	PROPN
ejpam-6348	1	65	research	research	NOUN
ejpam-6348	1	66	center	center	NOUN
ejpam-6348	1	67	,	,	PUNCT
ejpam-6348	1	68	al	al	PROPN
ejpam-6348	1	69	maaref	maaref	PROPN
ejpam-6348	1	70	university	university	PROPN
ejpam-6348	1	71	,	,	PUNCT
ejpam-6348	1	72	beirut	beirut	PROPN
ejpam-6348	1	73	,	,	PUNCT
ejpam-6348	1	74	lebanon	lebanon	PROPN
ejpam-6348	1	75	2	2	NUM
ejpam-6348	1	76	college	college	NOUN
ejpam-6348	1	77	of	of	ADP
ejpam-6348	1	78	engineering	engineering	NOUN
ejpam-6348	1	79	and	and	CCONJ
ejpam-6348	1	80	technology	technology	NOUN
ejpam-6348	1	81	,	,	PUNCT
ejpam-6348	1	82	american	american	PROPN
ejpam-6348	1	83	university	university	PROPN
ejpam-6348	1	84	of	of	ADP
ejpam-6348	1	85	the	the	DET
ejpam-6348	1	86	middle	middle	PROPN
ejpam-6348	1	87	east	east	PROPN
ejpam-6348	1	88	,	,	PUNCT
ejpam-6348	1	89	kuwait	kuwait	PROPN
ejpam-6348	1	90	abstract	abstract	PROPN
ejpam-6348	1	91	.	.	PUNCT
ejpam-6348	2	1	hyperparameter	hyperparameter	NOUN
ejpam-6348	2	2	tuning	tune	VERB
ejpam-6348	2	3	is	be	AUX
ejpam-6348	2	4	a	a	DET
ejpam-6348	2	5	crucial	crucial	ADJ
ejpam-6348	2	6	step	step	NOUN
ejpam-6348	2	7	in	in	ADP
ejpam-6348	2	8	optimizing	optimize	VERB
ejpam-6348	2	9	machine	machine	NOUN
ejpam-6348	2	10	learning	learning	NOUN
ejpam-6348	2	11	models	model	NOUN
ejpam-6348	2	12	,	,	PUNCT
ejpam-6348	2	13	directly	directly	ADV
ejpam-6348	2	14	impacting	impact	VERB
ejpam-6348	2	15	their	their	PRON
ejpam-6348	2	16	performance	performance	NOUN
ejpam-6348	2	17	and	and	CCONJ
ejpam-6348	2	18	generalization	generalization	NOUN
ejpam-6348	2	19	capabilities	capability	NOUN
ejpam-6348	2	20	.	.	PUNCT
ejpam-6348	3	1	while	while	SCONJ
ejpam-6348	3	2	reinforcement	reinforcement	NOUN
ejpam-6348	3	3	learning	learning	NOUN
ejpam-6348	3	4	and	and	CCONJ
ejpam-6348	3	5	simulated	simulate	VERB
ejpam-6348	3	6	annealing	annealing	NOUN
ejpam-6348	3	7	have	have	AUX
ejpam-6348	3	8	been	be	AUX
ejpam-6348	3	9	explored	explore	VERB
ejpam-6348	3	10	individually	individually	ADV
ejpam-6348	3	11	or	or	CCONJ
ejpam-6348	3	12	loosely	loosely	ADV
ejpam-6348	3	13	coupled	couple	VERB
ejpam-6348	3	14	in	in	ADP
ejpam-6348	3	15	prior	prior	ADJ
ejpam-6348	3	16	research	research	NOUN
ejpam-6348	3	17	,	,	PUNCT
ejpam-6348	3	18	their	their	PRON
ejpam-6348	3	19	integration	integration	NOUN
ejpam-6348	3	20	into	into	ADP
ejpam-6348	3	21	a	a	DET
ejpam-6348	3	22	structured	structured	ADJ
ejpam-6348	3	23	and	and	CCONJ
ejpam-6348	3	24	adaptive	adaptive	ADJ
ejpam-6348	3	25	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	3	26	framework	framework	NOUN
ejpam-6348	3	27	remains	remain	VERB
ejpam-6348	3	28	limited	limited	ADJ
ejpam-6348	3	29	.	.	PUNCT
ejpam-6348	4	1	this	this	DET
ejpam-6348	4	2	paper	paper	NOUN
ejpam-6348	4	3	proposes	propose	VERB
ejpam-6348	4	4	an	an	DET
ejpam-6348	4	5	adaptive	adaptive	ADJ
ejpam-6348	4	6	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	4	7	framework	framework	NOUN
ejpam-6348	4	8	for	for	ADP
ejpam-6348	4	9	hyperparameter	hyperparameter	NOUN
ejpam-6348	4	10	tuning	tuning	NOUN
ejpam-6348	4	11	,	,	PUNCT
ejpam-6348	4	12	integrating	integrate	VERB
ejpam-6348	4	13	q	q	ADJ
ejpam-6348	4	14	-	-	PUNCT
ejpam-6348	4	15	learningbased	learningbase	VERB
ejpam-6348	4	16	heuristic	heuristic	ADJ
ejpam-6348	4	17	selection	selection	NOUN
ejpam-6348	4	18	and	and	CCONJ
ejpam-6348	4	19	simulated	simulate	VERB
ejpam-6348	4	20	annealing	anneal	VERB
ejpam-6348	4	21	acceptance	acceptance	NOUN
ejpam-6348	4	22	criteria	criterion	NOUN
ejpam-6348	4	23	.	.	PUNCT
ejpam-6348	5	1	the	the	DET
ejpam-6348	5	2	proposed	propose	VERB
ejpam-6348	5	3	ahpqa	ahpqa	NOUN
ejpam-6348	5	4	framework	framework	NOUN
ejpam-6348	5	5	introduces	introduce	VERB
ejpam-6348	5	6	a	a	DET
ejpam-6348	5	7	novel	novel	ADJ
ejpam-6348	5	8	two	two	NUM
ejpam-6348	5	9	-	-	PUNCT
ejpam-6348	5	10	layered	layered	ADJ
ejpam-6348	5	11	architecture	architecture	NOUN
ejpam-6348	5	12	:	:	PUNCT
ejpam-6348	5	13	a	a	DET
ejpam-6348	5	14	high	high	ADJ
ejpam-6348	5	15	-	-	PUNCT
ejpam-6348	5	16	level	level	NOUN
ejpam-6348	5	17	q	q	NOUN
ejpam-6348	5	18	-	-	PUNCT
ejpam-6348	5	19	learning	learning	NOUN
ejpam-6348	5	20	-	-	PUNCT
ejpam-6348	5	21	driven	drive	VERB
ejpam-6348	5	22	heuristic	heuristic	ADJ
ejpam-6348	5	23	selector	selector	NOUN
ejpam-6348	5	24	dynamically	dynamically	ADV
ejpam-6348	5	25	chooses	choose	VERB
ejpam-6348	5	26	among	among	ADP
ejpam-6348	5	27	categorized	categorize	VERB
ejpam-6348	5	28	low	low	ADJ
ejpam-6348	5	29	-	-	PUNCT
ejpam-6348	5	30	level	level	NOUN
ejpam-6348	5	31	heuristics	heuristic	NOUN
ejpam-6348	5	32	,	,	PUNCT
ejpam-6348	5	33	while	while	SCONJ
ejpam-6348	5	34	a	a	DET
ejpam-6348	5	35	simulated	simulate	VERB
ejpam-6348	5	36	annealingbased	annealingbase	VERB
ejpam-6348	5	37	acceptance	acceptance	NOUN
ejpam-6348	5	38	criterion	criterion	NOUN
ejpam-6348	5	39	governs	govern	VERB
ejpam-6348	5	40	the	the	DET
ejpam-6348	5	41	exploration	exploration	NOUN
ejpam-6348	5	42	-	-	PUNCT
ejpam-6348	5	43	exploitation	exploitation	NOUN
ejpam-6348	5	44	process	process	NOUN
ejpam-6348	5	45	,	,	PUNCT
ejpam-6348	5	46	enabling	enable	VERB
ejpam-6348	5	47	both	both	CCONJ
ejpam-6348	5	48	adaptiveness	adaptiveness	NOUN
ejpam-6348	5	49	and	and	CCONJ
ejpam-6348	5	50	robustness	robustness	NOUN
ejpam-6348	5	51	in	in	ADP
ejpam-6348	5	52	the	the	DET
ejpam-6348	5	53	search	search	NOUN
ejpam-6348	5	54	landscape	landscape	NOUN
ejpam-6348	5	55	.	.	PUNCT
ejpam-6348	6	1	the	the	DET
ejpam-6348	6	2	framework	framework	NOUN
ejpam-6348	6	3	employs	employ	VERB
ejpam-6348	6	4	a	a	DET
ejpam-6348	6	5	diverse	diverse	ADJ
ejpam-6348	6	6	set	set	NOUN
ejpam-6348	6	7	of	of	ADP
ejpam-6348	6	8	low	low	ADJ
ejpam-6348	6	9	-	-	PUNCT
ejpam-6348	6	10	level	level	NOUN
ejpam-6348	6	11	heuristics	heuristic	NOUN
ejpam-6348	6	12	categorized	categorize	VERB
ejpam-6348	6	13	into	into	ADP
ejpam-6348	6	14	constructive	constructive	ADJ
ejpam-6348	6	15	,	,	PUNCT
ejpam-6348	6	16	improvement	improvement	NOUN
ejpam-6348	6	17	,	,	PUNCT
ejpam-6348	6	18	and	and	CCONJ
ejpam-6348	6	19	perturbation	perturbation	NOUN
ejpam-6348	6	20	types	type	NOUN
ejpam-6348	6	21	.	.	PUNCT
ejpam-6348	7	1	the	the	DET
ejpam-6348	7	2	q	q	ADJ
ejpam-6348	7	3	-	-	PUNCT
ejpam-6348	7	4	learning	learn	VERB
ejpam-6348	7	5	model	model	NOUN
ejpam-6348	7	6	dynamically	dynamically	ADV
ejpam-6348	7	7	selects	select	VERB
ejpam-6348	7	8	the	the	DET
ejpam-6348	7	9	most	most	ADV
ejpam-6348	7	10	effective	effective	ADJ
ejpam-6348	7	11	heuristic	heuristic	NOUN
ejpam-6348	7	12	based	base	VERB
ejpam-6348	7	13	on	on	ADP
ejpam-6348	7	14	historical	historical	ADJ
ejpam-6348	7	15	performance	performance	NOUN
ejpam-6348	7	16	.	.	PUNCT
ejpam-6348	8	1	additionally	additionally	ADV
ejpam-6348	8	2	,	,	PUNCT
ejpam-6348	8	3	the	the	DET
ejpam-6348	8	4	acceptance	acceptance	NOUN
ejpam-6348	8	5	of	of	ADP
ejpam-6348	8	6	new	new	ADJ
ejpam-6348	8	7	hyperparameter	hyperparameter	NOUN
ejpam-6348	8	8	configurations	configuration	NOUN
ejpam-6348	8	9	follows	follow	VERB
ejpam-6348	8	10	a	a	DET
ejpam-6348	8	11	probabilistic	probabilistic	ADJ
ejpam-6348	8	12	function	function	NOUN
ejpam-6348	8	13	based	base	VERB
ejpam-6348	8	14	on	on	ADP
ejpam-6348	8	15	simulated	simulated	ADJ
ejpam-6348	8	16	annealing	annealing	NOUN
ejpam-6348	8	17	,	,	PUNCT
ejpam-6348	8	18	allowing	allow	VERB
ejpam-6348	8	19	the	the	DET
ejpam-6348	8	20	search	search	NOUN
ejpam-6348	8	21	process	process	NOUN
ejpam-6348	8	22	to	to	PART
ejpam-6348	8	23	escape	escape	VERB
ejpam-6348	8	24	local	local	ADJ
ejpam-6348	8	25	optima	optima	NOUN
ejpam-6348	8	26	.	.	PUNCT
ejpam-6348	9	1	the	the	DET
ejpam-6348	9	2	proposed	propose	VERB
ejpam-6348	9	3	method	method	NOUN
ejpam-6348	9	4	is	be	AUX
ejpam-6348	9	5	evaluated	evaluate	VERB
ejpam-6348	9	6	on	on	ADP
ejpam-6348	9	7	benchmark	benchmark	ADJ
ejpam-6348	9	8	machine	machine	NOUN
ejpam-6348	9	9	learning	learning	NOUN
ejpam-6348	9	10	models	model	NOUN
ejpam-6348	9	11	,	,	PUNCT
ejpam-6348	9	12	including	include	VERB
ejpam-6348	9	13	deep	deep	ADJ
ejpam-6348	9	14	learning	learning	NOUN
ejpam-6348	9	15	architectures	architecture	NOUN
ejpam-6348	9	16	and	and	CCONJ
ejpam-6348	9	17	ensemble	ensemble	ADJ
ejpam-6348	9	18	classifiers	classifier	NOUN
ejpam-6348	9	19	,	,	PUNCT
ejpam-6348	9	20	using	use	VERB
ejpam-6348	9	21	publicly	publicly	ADV
ejpam-6348	9	22	available	available	ADJ
ejpam-6348	9	23	datasets	dataset	NOUN
ejpam-6348	9	24	.	.	PUNCT
ejpam-6348	10	1	comparative	comparative	ADJ
ejpam-6348	10	2	analysis	analysis	NOUN
ejpam-6348	10	3	against	against	ADP
ejpam-6348	10	4	conventional	conventional	ADJ
ejpam-6348	10	5	tuning	tuning	NOUN
ejpam-6348	10	6	approaches	approach	NOUN
ejpam-6348	10	7	demonstrates	demonstrate	VERB
ejpam-6348	10	8	superior	superior	ADJ
ejpam-6348	10	9	convergence	convergence	NOUN
ejpam-6348	10	10	speed	speed	NOUN
ejpam-6348	10	11	,	,	PUNCT
ejpam-6348	10	12	computational	computational	ADJ
ejpam-6348	10	13	efficiency	efficiency	NOUN
ejpam-6348	10	14	,	,	PUNCT
ejpam-6348	10	15	and	and	CCONJ
ejpam-6348	10	16	model	model	NOUN
ejpam-6348	10	17	performance	performance	NOUN
ejpam-6348	10	18	.	.	PUNCT
ejpam-6348	11	1	by	by	ADP
ejpam-6348	11	2	systematically	systematically	ADV
ejpam-6348	11	3	uniting	unite	VERB
ejpam-6348	11	4	q	q	NOUN
ejpam-6348	11	5	-	-	PUNCT
ejpam-6348	11	6	learning	learn	VERB
ejpam-6348	11	7	and	and	CCONJ
ejpam-6348	11	8	simulated	simulate	VERB
ejpam-6348	11	9	annealing	annealing	NOUN
ejpam-6348	11	10	within	within	ADP
ejpam-6348	11	11	an	an	DET
ejpam-6348	11	12	adaptive	adaptive	ADJ
ejpam-6348	11	13	hyperheuristic	hyperheuristic	NOUN
ejpam-6348	11	14	control	control	NOUN
ejpam-6348	11	15	strategy	strategy	NOUN
ejpam-6348	11	16	,	,	PUNCT
ejpam-6348	11	17	the	the	DET
ejpam-6348	11	18	framework	framework	NOUN
ejpam-6348	11	19	offers	offer	VERB
ejpam-6348	11	20	a	a	DET
ejpam-6348	11	21	scalable	scalable	ADJ
ejpam-6348	11	22	and	and	CCONJ
ejpam-6348	11	23	efficient	efficient	ADJ
ejpam-6348	11	24	solution	solution	NOUN
ejpam-6348	11	25	for	for	ADP
ejpam-6348	11	26	diverse	diverse	ADJ
ejpam-6348	11	27	machine	machine	NOUN
ejpam-6348	11	28	learning	learn	VERB
ejpam-6348	11	29	domains	domain	NOUN
ejpam-6348	11	30	.	.	PUNCT
ejpam-6348	12	1	future	future	ADJ
ejpam-6348	12	2	research	research	NOUN
ejpam-6348	12	3	directions	direction	NOUN
ejpam-6348	12	4	include	include	VERB
ejpam-6348	12	5	extending	extend	VERB
ejpam-6348	12	6	the	the	DET
ejpam-6348	12	7	framework	framework	NOUN
ejpam-6348	12	8	to	to	ADP
ejpam-6348	12	9	reinforcement	reinforcement	NOUN
ejpam-6348	12	10	learning	learning	NOUN
ejpam-6348	12	11	environments	environment	NOUN
ejpam-6348	12	12	and	and	CCONJ
ejpam-6348	12	13	integrating	integrate	VERB
ejpam-6348	12	14	explainable	explainable	ADJ
ejpam-6348	12	15	ai	ai	NOUN
ejpam-6348	12	16	techniques	technique	NOUN
ejpam-6348	12	17	for	for	ADP
ejpam-6348	12	18	improved	improved	ADJ
ejpam-6348	12	19	interpretability	interpretability	NOUN
ejpam-6348	12	20	.	.	PUNCT
ejpam-6348	13	1	2020	2020	NUM
ejpam-6348	13	2	mathematics	mathematic	NOUN
ejpam-6348	13	3	subject	subject	NOUN
ejpam-6348	13	4	classifications	classification	NOUN
ejpam-6348	13	5	:	:	PUNCT
ejpam-6348	13	6	68t05	68t05	NUM
ejpam-6348	13	7	,	,	PUNCT
ejpam-6348	13	8	68w40	68w40	NOUN
ejpam-6348	13	9	,	,	PUNCT
ejpam-6348	13	10	90c59	90c59	NUM
ejpam-6348	13	11	,	,	PUNCT
ejpam-6348	13	12	90c26	90c26	NUM
ejpam-6348	13	13	key	key	ADJ
ejpam-6348	13	14	words	word	NOUN
ejpam-6348	13	15	and	and	CCONJ
ejpam-6348	13	16	phrases	phrase	NOUN
ejpam-6348	13	17	:	:	PUNCT
ejpam-6348	13	18	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	13	19	,	,	PUNCT
ejpam-6348	13	20	hyperparameter	hyperparameter	NOUN
ejpam-6348	13	21	tuning	tuning	NOUN
ejpam-6348	13	22	,	,	PUNCT
ejpam-6348	13	23	q	q	NOUN
ejpam-6348	13	24	-	-	PUNCT
ejpam-6348	13	25	learning	learning	ADJ
ejpam-6348	13	26	,	,	PUNCT
ejpam-6348	13	27	simulated	simulated	ADJ
ejpam-6348	13	28	annealing	annealing	NOUN
ejpam-6348	13	29	,	,	PUNCT
ejpam-6348	13	30	machine	machine	NOUN
ejpam-6348	13	31	learning	learn	VERB
ejpam-6348	13	32	optimization	optimization	NOUN
ejpam-6348	13	33	∗corresponding	∗corresponde	VERB
ejpam-6348	13	34	author	author	NOUN
ejpam-6348	13	35	.	.	PUNCT
ejpam-6348	14	1	doi	doi	NOUN
ejpam-6348	14	2	:	:	PUNCT
ejpam-6348	14	3	https://doi.org/10.29020/nybg.ejpam.v18i3.6348	https://doi.org/10.29020/nybg.ejpam.v18i3.6348	PROPN
ejpam-6348	14	4	email	email	NOUN
ejpam-6348	14	5	addresses	address	NOUN
ejpam-6348	14	6	:	:	PUNCT
ejpam-6348	14	7	kassem.danach@mu.edu.lb	kassem.danach@mu.edu.lb	PROPN
ejpam-6348	14	8	(	(	PUNCT
ejpam-6348	14	9	k.	k.	PROPN
ejpam-6348	14	10	danach	danach	PROPN
ejpam-6348	14	11	)	)	PUNCT
ejpam-6348	14	12	,	,	PUNCT
ejpam-6348	14	13	wael.aly@aum.edu.kw	wael.aly@aum.edu.kw	PROPN
ejpam-6348	14	14	(	(	PUNCT
ejpam-6348	14	15	w.	w.	PROPN
ejpam-6348	14	16	h.	h.	PROPN
ejpam-6348	14	17	f.	f.	PROPN
ejpam-6348	14	18	aly	aly	PROPN
ejpam-6348	14	19	)	)	PUNCT
ejpam-6348	14	20	https://www.ejpam.com	https://www.ejpam.com	X
ejpam-6348	15	1	1	1	NUM
ejpam-6348	15	2	copyright	copyright	NOUN
ejpam-6348	15	3	:	:	PUNCT
ejpam-6348	15	4	©	©	PROPN
ejpam-6348	15	5	2025	2025	NUM
ejpam-6348	15	6	the	the	DET
ejpam-6348	15	7	author(s	author(s	NOUN
ejpam-6348	15	8	)	)	PUNCT
ejpam-6348	15	9	.	.	PUNCT
ejpam-6348	16	1	(	(	PUNCT
ejpam-6348	16	2	cc	cc	NOUN
ejpam-6348	16	3	by	by	ADP
ejpam-6348	16	4	-	-	PUNCT
ejpam-6348	16	5	nc	nc	PROPN
ejpam-6348	16	6	4.0	4.0	NUM
ejpam-6348	16	7	)	)	PUNCT
ejpam-6348	16	8	k.	k.	NOUN
ejpam-6348	16	9	danach	danach	PROPN
ejpam-6348	16	10	,	,	PUNCT
ejpam-6348	16	11	w.	w.	PROPN
ejpam-6348	16	12	h.	h.	PROPN
ejpam-6348	16	13	f.	f.	PROPN
ejpam-6348	16	14	aly	aly	PROPN
ejpam-6348	16	15	/	/	SYM
ejpam-6348	16	16	eur	eur	PROPN
ejpam-6348	16	17	.	.	PUNCT
ejpam-6348	17	1	j.	j.	PROPN
ejpam-6348	17	2	pure	pure	PROPN
ejpam-6348	17	3	appl	appl	PROPN
ejpam-6348	17	4	.	.	PROPN
ejpam-6348	17	5	math	math	PROPN
ejpam-6348	17	6	,	,	PUNCT
ejpam-6348	17	7	18	18	NUM
ejpam-6348	17	8	(	(	PUNCT
ejpam-6348	17	9	3	3	NUM
ejpam-6348	17	10	)	)	PUNCT
ejpam-6348	17	11	(	(	PUNCT
ejpam-6348	17	12	2025	2025	NUM
ejpam-6348	17	13	)	)	PUNCT
ejpam-6348	17	14	,	,	PUNCT
ejpam-6348	17	15	6348	6348	NUM
ejpam-6348	17	16	2	2	NUM
ejpam-6348	17	17	of	of	ADP
ejpam-6348	17	18	23	23	NUM
ejpam-6348	17	19	1	1	NUM
ejpam-6348	17	20	.	.	PUNCT
ejpam-6348	18	1	introduction	introduction	NOUN
ejpam-6348	18	2	hyperparameter	hyperparameter	NOUN
ejpam-6348	18	3	tuning	tuning	NOUN
ejpam-6348	18	4	plays	play	VERB
ejpam-6348	18	5	a	a	DET
ejpam-6348	18	6	critical	critical	ADJ
ejpam-6348	18	7	role	role	NOUN
ejpam-6348	18	8	in	in	ADP
ejpam-6348	18	9	optimizing	optimize	VERB
ejpam-6348	18	10	machine	machine	NOUN
ejpam-6348	18	11	learning	learning	NOUN
ejpam-6348	18	12	models	model	NOUN
ejpam-6348	18	13	,	,	PUNCT
ejpam-6348	18	14	directly	directly	ADV
ejpam-6348	18	15	impacting	impact	VERB
ejpam-6348	18	16	their	their	PRON
ejpam-6348	18	17	accuracy	accuracy	NOUN
ejpam-6348	18	18	,	,	PUNCT
ejpam-6348	18	19	generalization	generalization	NOUN
ejpam-6348	18	20	capability	capability	NOUN
ejpam-6348	18	21	,	,	PUNCT
ejpam-6348	18	22	and	and	CCONJ
ejpam-6348	18	23	computational	computational	ADJ
ejpam-6348	18	24	efficiency	efficiency	NOUN
ejpam-6348	18	25	.	.	PUNCT
ejpam-6348	19	1	the	the	DET
ejpam-6348	19	2	choice	choice	NOUN
ejpam-6348	19	3	of	of	ADP
ejpam-6348	19	4	hyperparameters	hyperparameter	NOUN
ejpam-6348	19	5	,	,	PUNCT
ejpam-6348	19	6	such	such	ADJ
ejpam-6348	19	7	as	as	ADP
ejpam-6348	19	8	learning	learn	VERB
ejpam-6348	19	9	rate	rate	NOUN
ejpam-6348	19	10	,	,	PUNCT
ejpam-6348	19	11	batch	batch	NOUN
ejpam-6348	19	12	size	size	NOUN
ejpam-6348	19	13	,	,	PUNCT
ejpam-6348	19	14	regularization	regularization	NOUN
ejpam-6348	19	15	strength	strength	NOUN
ejpam-6348	19	16	,	,	PUNCT
ejpam-6348	19	17	and	and	CCONJ
ejpam-6348	19	18	architecture	architecture	NOUN
ejpam-6348	19	19	parameters	parameter	NOUN
ejpam-6348	19	20	,	,	PUNCT
ejpam-6348	19	21	significantly	significantly	ADV
ejpam-6348	19	22	influences	influence	VERB
ejpam-6348	19	23	model	model	NOUN
ejpam-6348	19	24	performance	performance	NOUN
ejpam-6348	19	25	[	[	X
ejpam-6348	19	26	1	1	NUM
ejpam-6348	19	27	,	,	PUNCT
ejpam-6348	19	28	2	2	NUM
ejpam-6348	19	29	]	]	PUNCT
ejpam-6348	19	30	.	.	PUNCT
ejpam-6348	20	1	however	however	ADV
ejpam-6348	20	2	,	,	PUNCT
ejpam-6348	20	3	identifying	identify	VERB
ejpam-6348	20	4	optimal	optimal	ADJ
ejpam-6348	20	5	hyperparameters	hyperparameter	NOUN
ejpam-6348	20	6	remains	remain	VERB
ejpam-6348	20	7	a	a	DET
ejpam-6348	20	8	challenging	challenging	ADJ
ejpam-6348	20	9	task	task	NOUN
ejpam-6348	20	10	due	due	ADP
ejpam-6348	20	11	to	to	ADP
ejpam-6348	20	12	the	the	DET
ejpam-6348	20	13	highdimensional	highdimensional	ADJ
ejpam-6348	20	14	and	and	CCONJ
ejpam-6348	20	15	non	non	ADJ
ejpam-6348	20	16	-	-	ADJ
ejpam-6348	20	17	convex	convex	ADJ
ejpam-6348	20	18	nature	nature	NOUN
ejpam-6348	20	19	of	of	ADP
ejpam-6348	20	20	the	the	DET
ejpam-6348	20	21	search	search	NOUN
ejpam-6348	20	22	space	space	NOUN
ejpam-6348	20	23	.	.	PUNCT
ejpam-6348	21	1	traditional	traditional	ADJ
ejpam-6348	21	2	hyperparameter	hyperparameter	NOUN
ejpam-6348	21	3	tuning	tuning	NOUN
ejpam-6348	21	4	methods	method	NOUN
ejpam-6348	21	5	,	,	PUNCT
ejpam-6348	21	6	such	such	ADJ
ejpam-6348	21	7	as	as	ADP
ejpam-6348	21	8	grid	grid	NOUN
ejpam-6348	21	9	search	search	NOUN
ejpam-6348	21	10	and	and	CCONJ
ejpam-6348	21	11	random	random	ADJ
ejpam-6348	21	12	search	search	NOUN
ejpam-6348	21	13	,	,	PUNCT
ejpam-6348	21	14	offer	offer	VERB
ejpam-6348	21	15	limited	limited	ADJ
ejpam-6348	21	16	efficiency	efficiency	NOUN
ejpam-6348	21	17	in	in	ADP
ejpam-6348	21	18	high	high	ADJ
ejpam-6348	21	19	-	-	PUNCT
ejpam-6348	21	20	dimensional	dimensional	ADJ
ejpam-6348	21	21	search	search	NOUN
ejpam-6348	21	22	spaces	space	NOUN
ejpam-6348	21	23	.	.	PUNCT
ejpam-6348	22	1	grid	grid	NOUN
ejpam-6348	22	2	search	search	NOUN
ejpam-6348	22	3	explores	explore	NOUN
ejpam-6348	22	4	all	all	DET
ejpam-6348	22	5	possible	possible	ADJ
ejpam-6348	22	6	hyperparameter	hyperparameter	NOUN
ejpam-6348	22	7	combinations	combination	NOUN
ejpam-6348	22	8	but	but	CCONJ
ejpam-6348	22	9	suffers	suffer	VERB
ejpam-6348	22	10	from	from	ADP
ejpam-6348	22	11	exponential	exponential	ADJ
ejpam-6348	22	12	computational	computational	ADJ
ejpam-6348	22	13	cost	cost	NOUN
ejpam-6348	23	1	[	[	X
ejpam-6348	23	2	3	3	NUM
ejpam-6348	23	3	]	]	PUNCT
ejpam-6348	23	4	.	.	PUNCT
ejpam-6348	24	1	random	random	ADJ
ejpam-6348	24	2	search	search	NOUN
ejpam-6348	24	3	,	,	PUNCT
ejpam-6348	24	4	while	while	SCONJ
ejpam-6348	24	5	computationally	computationally	ADV
ejpam-6348	24	6	more	more	ADV
ejpam-6348	24	7	efficient	efficient	ADJ
ejpam-6348	24	8	,	,	PUNCT
ejpam-6348	24	9	does	do	AUX
ejpam-6348	24	10	not	not	PART
ejpam-6348	24	11	exploit	exploit	VERB
ejpam-6348	24	12	prior	prior	ADJ
ejpam-6348	24	13	knowledge	knowledge	NOUN
ejpam-6348	24	14	from	from	ADP
ejpam-6348	24	15	previously	previously	ADV
ejpam-6348	24	16	evaluated	evaluate	VERB
ejpam-6348	24	17	configurations	configuration	NOUN
ejpam-6348	24	18	,	,	PUNCT
ejpam-6348	24	19	leading	lead	VERB
ejpam-6348	24	20	to	to	ADP
ejpam-6348	24	21	inefficiencies	inefficiency	NOUN
ejpam-6348	24	22	in	in	ADP
ejpam-6348	24	23	tuning	tune	VERB
ejpam-6348	24	24	[	[	PUNCT
ejpam-6348	24	25	4	4	NUM
ejpam-6348	24	26	]	]	PUNCT
ejpam-6348	24	27	.	.	PUNCT
ejpam-6348	25	1	more	more	ADV
ejpam-6348	25	2	advanced	advanced	ADJ
ejpam-6348	25	3	techniques	technique	NOUN
ejpam-6348	25	4	like	like	ADP
ejpam-6348	25	5	bayesian	bayesian	NOUN
ejpam-6348	25	6	optimization	optimization	NOUN
ejpam-6348	25	7	aim	aim	VERB
ejpam-6348	25	8	to	to	PART
ejpam-6348	25	9	improve	improve	VERB
ejpam-6348	25	10	search	search	NOUN
ejpam-6348	25	11	efficiency	efficiency	NOUN
ejpam-6348	25	12	by	by	ADP
ejpam-6348	25	13	modeling	model	VERB
ejpam-6348	25	14	the	the	DET
ejpam-6348	25	15	objective	objective	ADJ
ejpam-6348	25	16	function	function	NOUN
ejpam-6348	25	17	using	use	VERB
ejpam-6348	25	18	gaussian	gaussian	ADJ
ejpam-6348	25	19	processes	process	NOUN
ejpam-6348	25	20	;	;	PUNCT
ejpam-6348	25	21	however	however	ADV
ejpam-6348	25	22	,	,	PUNCT
ejpam-6348	25	23	they	they	PRON
ejpam-6348	25	24	struggle	struggle	VERB
ejpam-6348	25	25	with	with	ADP
ejpam-6348	25	26	noisy	noisy	ADJ
ejpam-6348	25	27	and	and	CCONJ
ejpam-6348	25	28	high	high	ADV
ejpam-6348	25	29	-	-	PUNCT
ejpam-6348	25	30	dimensional	dimensional	ADJ
ejpam-6348	25	31	search	search	NOUN
ejpam-6348	25	32	spaces	space	NOUN
ejpam-6348	25	33	[	[	X
ejpam-6348	25	34	5	5	NUM
ejpam-6348	25	35	]	]	PUNCT
ejpam-6348	25	36	.	.	PUNCT
ejpam-6348	26	1	to	to	PART
ejpam-6348	26	2	address	address	VERB
ejpam-6348	26	3	these	these	DET
ejpam-6348	26	4	limitations	limitation	NOUN
ejpam-6348	26	5	,	,	PUNCT
ejpam-6348	26	6	metaheuristic	metaheuristic	ADJ
ejpam-6348	26	7	approaches	approach	NOUN
ejpam-6348	26	8	,	,	PUNCT
ejpam-6348	26	9	including	include	VERB
ejpam-6348	26	10	genetic	genetic	ADJ
ejpam-6348	26	11	algorithms	algorithm	NOUN
ejpam-6348	26	12	(	(	PUNCT
ejpam-6348	26	13	ga	ga	NOUN
ejpam-6348	26	14	)	)	PUNCT
ejpam-6348	26	15	,	,	PUNCT
ejpam-6348	26	16	particle	particle	NOUN
ejpam-6348	26	17	swarm	swarm	NOUN
ejpam-6348	26	18	optimization	optimization	NOUN
ejpam-6348	26	19	(	(	PUNCT
ejpam-6348	26	20	pso	pso	NOUN
ejpam-6348	26	21	)	)	PUNCT
ejpam-6348	26	22	,	,	PUNCT
ejpam-6348	26	23	and	and	CCONJ
ejpam-6348	26	24	simulated	simulate	VERB
ejpam-6348	26	25	annealing	annealing	NOUN
ejpam-6348	26	26	(	(	PUNCT
ejpam-6348	26	27	sa	sa	PROPN
ejpam-6348	26	28	)	)	PUNCT
ejpam-6348	26	29	,	,	PUNCT
ejpam-6348	26	30	have	have	AUX
ejpam-6348	26	31	been	be	AUX
ejpam-6348	26	32	proposed	propose	VERB
ejpam-6348	26	33	for	for	ADP
ejpam-6348	26	34	hyperparameter	hyperparameter	NOUN
ejpam-6348	26	35	optimization	optimization	NOUN
ejpam-6348	26	36	[	[	X
ejpam-6348	26	37	6	6	NUM
ejpam-6348	26	38	,	,	PUNCT
ejpam-6348	26	39	7	7	NUM
ejpam-6348	26	40	]	]	PUNCT
ejpam-6348	26	41	.	.	PUNCT
ejpam-6348	27	1	while	while	SCONJ
ejpam-6348	27	2	these	these	DET
ejpam-6348	27	3	methods	method	NOUN
ejpam-6348	27	4	provide	provide	VERB
ejpam-6348	27	5	better	well	ADJ
ejpam-6348	27	6	exploration	exploration	NOUN
ejpam-6348	27	7	capabilities	capability	NOUN
ejpam-6348	27	8	,	,	PUNCT
ejpam-6348	27	9	they	they	PRON
ejpam-6348	27	10	often	often	ADV
ejpam-6348	27	11	require	require	VERB
ejpam-6348	27	12	careful	careful	ADJ
ejpam-6348	27	13	parameter	parameter	NOUN
ejpam-6348	27	14	tuning	tune	VERB
ejpam-6348	27	15	themselves	themselves	PRON
ejpam-6348	27	16	and	and	CCONJ
ejpam-6348	27	17	may	may	AUX
ejpam-6348	27	18	suffer	suffer	VERB
ejpam-6348	27	19	from	from	ADP
ejpam-6348	27	20	premature	premature	ADJ
ejpam-6348	27	21	convergence	convergence	NOUN
ejpam-6348	27	22	[	[	X
ejpam-6348	27	23	8	8	NUM
ejpam-6348	27	24	]	]	PUNCT
ejpam-6348	27	25	.	.	PUNCT
ejpam-6348	28	1	more	more	ADV
ejpam-6348	28	2	recently	recently	ADV
ejpam-6348	28	3	,	,	PUNCT
ejpam-6348	28	4	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	28	5	have	have	AUX
ejpam-6348	28	6	emerged	emerge	VERB
ejpam-6348	28	7	as	as	ADP
ejpam-6348	28	8	a	a	DET
ejpam-6348	28	9	promising	promising	ADJ
ejpam-6348	28	10	optimization	optimization	NOUN
ejpam-6348	28	11	strategy	strategy	NOUN
ejpam-6348	28	12	by	by	ADP
ejpam-6348	28	13	dynamically	dynamically	ADV
ejpam-6348	28	14	selecting	select	VERB
ejpam-6348	28	15	and	and	CCONJ
ejpam-6348	28	16	applying	apply	VERB
ejpam-6348	28	17	different	different	ADJ
ejpam-6348	28	18	low	low	ADJ
ejpam-6348	28	19	-	-	PUNCT
ejpam-6348	28	20	level	level	NOUN
ejpam-6348	28	21	heuristics	heuristic	NOUN
ejpam-6348	28	22	based	base	VERB
ejpam-6348	28	23	on	on	ADP
ejpam-6348	28	24	prior	prior	ADJ
ejpam-6348	28	25	performance	performance	NOUN
ejpam-6348	28	26	[	[	X
ejpam-6348	28	27	9	9	NUM
ejpam-6348	28	28	]	]	PUNCT
ejpam-6348	28	29	.	.	PUNCT
ejpam-6348	29	1	these	these	DET
ejpam-6348	29	2	methods	method	NOUN
ejpam-6348	29	3	aim	aim	VERB
ejpam-6348	29	4	to	to	PART
ejpam-6348	29	5	balance	balance	VERB
ejpam-6348	29	6	exploration	exploration	NOUN
ejpam-6348	29	7	and	and	CCONJ
ejpam-6348	29	8	exploitation	exploitation	NOUN
ejpam-6348	29	9	while	while	SCONJ
ejpam-6348	29	10	reducing	reduce	VERB
ejpam-6348	29	11	reliance	reliance	NOUN
ejpam-6348	29	12	on	on	ADP
ejpam-6348	29	13	problem	problem	NOUN
ejpam-6348	29	14	-	-	PUNCT
ejpam-6348	29	15	specific	specific	ADJ
ejpam-6348	29	16	knowledge	knowledge	NOUN
ejpam-6348	29	17	[	[	X
ejpam-6348	29	18	10	10	NUM
ejpam-6348	29	19	]	]	PUNCT
ejpam-6348	29	20	.	.	PUNCT
ejpam-6348	30	1	this	this	DET
ejpam-6348	30	2	research	research	NOUN
ejpam-6348	30	3	introduces	introduce	VERB
ejpam-6348	30	4	an	an	DET
ejpam-6348	30	5	adaptive	adaptive	ADJ
ejpam-6348	30	6	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	30	7	framework	framework	NOUN
ejpam-6348	30	8	for	for	ADP
ejpam-6348	30	9	hyperparameter	hyperparameter	NOUN
ejpam-6348	30	10	tuning	tuning	NOUN
ejpam-6348	30	11	,	,	PUNCT
ejpam-6348	30	12	integrating	integrate	VERB
ejpam-6348	30	13	a	a	DET
ejpam-6348	30	14	q	q	NOUN
ejpam-6348	30	15	-	-	PUNCT
ejpam-6348	30	16	learning	learning	NOUN
ejpam-6348	30	17	-	-	PUNCT
ejpam-6348	30	18	based	base	VERB
ejpam-6348	30	19	heuristic	heuristic	ADJ
ejpam-6348	30	20	selection	selection	NOUN
ejpam-6348	30	21	mechanism	mechanism	NOUN
ejpam-6348	30	22	with	with	ADP
ejpam-6348	30	23	simulated	simulate	VERB
ejpam-6348	30	24	annealingbased	annealingbase	VERB
ejpam-6348	30	25	acceptance	acceptance	NOUN
ejpam-6348	30	26	criteria	criterion	NOUN
ejpam-6348	30	27	.	.	PUNCT
ejpam-6348	31	1	the	the	DET
ejpam-6348	31	2	framework	framework	NOUN
ejpam-6348	31	3	consists	consist	VERB
ejpam-6348	31	4	of	of	ADP
ejpam-6348	31	5	three	three	NUM
ejpam-6348	31	6	key	key	ADJ
ejpam-6348	31	7	components	component	NOUN
ejpam-6348	31	8	:	:	PUNCT
ejpam-6348	31	9	•	•	ADP
ejpam-6348	31	10	a	a	DET
ejpam-6348	31	11	q	q	ADJ
ejpam-6348	31	12	-	-	PUNCT
ejpam-6348	31	13	learning	learning	NOUN
ejpam-6348	31	14	-	-	PUNCT
ejpam-6348	31	15	based	base	VERB
ejpam-6348	31	16	heuristic	heuristic	ADJ
ejpam-6348	31	17	selection	selection	NOUN
ejpam-6348	31	18	mechanism	mechanism	NOUN
ejpam-6348	31	19	:	:	PUNCT
ejpam-6348	31	20	dynamically	dynamically	ADV
ejpam-6348	31	21	selects	select	NOUN
ejpam-6348	31	22	among	among	ADP
ejpam-6348	31	23	constructive	constructive	ADJ
ejpam-6348	31	24	,	,	PUNCT
ejpam-6348	31	25	improvement	improvement	NOUN
ejpam-6348	31	26	,	,	PUNCT
ejpam-6348	31	27	and	and	CCONJ
ejpam-6348	31	28	perturbation	perturbation	NOUN
ejpam-6348	31	29	heuristics	heuristic	NOUN
ejpam-6348	31	30	based	base	VERB
ejpam-6348	31	31	on	on	ADP
ejpam-6348	31	32	prior	prior	ADJ
ejpam-6348	31	33	optimization	optimization	NOUN
ejpam-6348	31	34	performance	performance	NOUN
ejpam-6348	31	35	.	.	PUNCT
ejpam-6348	32	1	•	•	NUM
ejpam-6348	32	2	simulated	simulated	ADJ
ejpam-6348	32	3	annealing	annealing	NOUN
ejpam-6348	32	4	-	-	PUNCT
ejpam-6348	32	5	based	base	VERB
ejpam-6348	32	6	acceptance	acceptance	NOUN
ejpam-6348	32	7	criteria	criterion	NOUN
ejpam-6348	32	8	:	:	PUNCT
ejpam-6348	32	9	ensures	ensure	VERB
ejpam-6348	32	10	an	an	DET
ejpam-6348	32	11	adaptive	adaptive	ADJ
ejpam-6348	32	12	explorationexploitation	explorationexploitation	NOUN
ejpam-6348	32	13	trade	trade	NOUN
ejpam-6348	32	14	-	-	PUNCT
ejpam-6348	32	15	off	off	NOUN
ejpam-6348	32	16	,	,	PUNCT
ejpam-6348	32	17	preventing	prevent	VERB
ejpam-6348	32	18	premature	premature	ADJ
ejpam-6348	32	19	convergence	convergence	NOUN
ejpam-6348	32	20	.	.	PUNCT
ejpam-6348	33	1	•	•	NUM
ejpam-6348	33	2	efficient	efficient	ADJ
ejpam-6348	33	3	hyperparameter	hyperparameter	NOUN
ejpam-6348	33	4	search	search	NOUN
ejpam-6348	33	5	:	:	PUNCT
ejpam-6348	33	6	balances	balance	VERB
ejpam-6348	33	7	computational	computational	ADJ
ejpam-6348	33	8	cost	cost	NOUN
ejpam-6348	33	9	while	while	SCONJ
ejpam-6348	33	10	improving	improve	VERB
ejpam-6348	33	11	convergence	convergence	NOUN
ejpam-6348	33	12	speed	speed	NOUN
ejpam-6348	33	13	and	and	CCONJ
ejpam-6348	33	14	model	model	NOUN
ejpam-6348	33	15	accuracy	accuracy	NOUN
ejpam-6348	33	16	.	.	PUNCT
ejpam-6348	34	1	the	the	DET
ejpam-6348	34	2	ahpqa	ahpqa	ADJ
ejpam-6348	34	3	framework	framework	NOUN
ejpam-6348	34	4	is	be	AUX
ejpam-6348	34	5	evaluated	evaluate	VERB
ejpam-6348	34	6	on	on	ADP
ejpam-6348	34	7	multiple	multiple	ADJ
ejpam-6348	34	8	benchmark	benchmark	NOUN
ejpam-6348	34	9	machine	machine	NOUN
ejpam-6348	34	10	learning	learning	NOUN
ejpam-6348	34	11	models	model	NOUN
ejpam-6348	34	12	,	,	PUNCT
ejpam-6348	34	13	including	include	VERB
ejpam-6348	34	14	deep	deep	ADJ
ejpam-6348	34	15	neural	neural	ADJ
ejpam-6348	34	16	networks	network	NOUN
ejpam-6348	34	17	,	,	PUNCT
ejpam-6348	34	18	ensemble	ensemble	ADJ
ejpam-6348	34	19	classifiers	classifier	NOUN
ejpam-6348	34	20	,	,	PUNCT
ejpam-6348	34	21	and	and	CCONJ
ejpam-6348	34	22	reinforcement	reinforcement	NOUN
ejpam-6348	34	23	learning	learning	NOUN
ejpam-6348	34	24	architectures	architecture	NOUN
ejpam-6348	34	25	.	.	PUNCT
ejpam-6348	35	1	comparative	comparative	ADJ
ejpam-6348	35	2	experiments	experiment	NOUN
ejpam-6348	35	3	against	against	ADP
ejpam-6348	35	4	conventional	conventional	ADJ
ejpam-6348	35	5	tuning	tuning	NOUN
ejpam-6348	35	6	methods	method	NOUN
ejpam-6348	35	7	,	,	PUNCT
ejpam-6348	35	8	including	include	VERB
ejpam-6348	35	9	grid	grid	NOUN
ejpam-6348	35	10	search	search	NOUN
ejpam-6348	35	11	,	,	PUNCT
ejpam-6348	35	12	bayesian	bayesian	NOUN
ejpam-6348	35	13	optimization	optimization	NOUN
ejpam-6348	35	14	,	,	PUNCT
ejpam-6348	35	15	and	and	CCONJ
ejpam-6348	35	16	metaheuristic	metaheuristic	ADV
ejpam-6348	35	17	-	-	PUNCT
ejpam-6348	35	18	based	base	VERB
ejpam-6348	35	19	approaches	approach	NOUN
ejpam-6348	35	20	,	,	PUNCT
ejpam-6348	35	21	demonstrate	demonstrate	VERB
ejpam-6348	35	22	the	the	DET
ejpam-6348	35	23	effectiveness	effectiveness	NOUN
ejpam-6348	35	24	of	of	ADP
ejpam-6348	35	25	the	the	DET
ejpam-6348	35	26	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	35	27	framework	framework	NOUN
ejpam-6348	35	28	in	in	ADP
ejpam-6348	35	29	terms	term	NOUN
ejpam-6348	35	30	of	of	ADP
ejpam-6348	35	31	accuracy	accuracy	NOUN
ejpam-6348	35	32	,	,	PUNCT
ejpam-6348	35	33	convergence	convergence	NOUN
ejpam-6348	35	34	speed	speed	NOUN
ejpam-6348	35	35	,	,	PUNCT
ejpam-6348	35	36	and	and	CCONJ
ejpam-6348	35	37	computational	computational	ADJ
ejpam-6348	35	38	efficiency	efficiency	NOUN
ejpam-6348	35	39	.	.	PUNCT
ejpam-6348	36	1	this	this	DET
ejpam-6348	36	2	work	work	NOUN
ejpam-6348	36	3	makes	make	VERB
ejpam-6348	36	4	the	the	DET
ejpam-6348	36	5	following	follow	VERB
ejpam-6348	36	6	key	key	ADJ
ejpam-6348	36	7	contributions	contribution	NOUN
ejpam-6348	36	8	:	:	PUNCT
ejpam-6348	36	9	k.	k.	PROPN
ejpam-6348	36	10	danach	danach	PROPN
ejpam-6348	36	11	,	,	PUNCT
ejpam-6348	36	12	w.	w.	PROPN
ejpam-6348	36	13	h.	h.	PROPN
ejpam-6348	36	14	f.	f.	PROPN
ejpam-6348	36	15	aly	aly	PROPN
ejpam-6348	36	16	/	/	SYM
ejpam-6348	36	17	eur	eur	PROPN
ejpam-6348	36	18	.	.	PUNCT
ejpam-6348	37	1	j.	j.	PROPN
ejpam-6348	37	2	pure	pure	PROPN
ejpam-6348	37	3	appl	appl	PROPN
ejpam-6348	37	4	.	.	PROPN
ejpam-6348	37	5	math	math	PROPN
ejpam-6348	37	6	,	,	PUNCT
ejpam-6348	37	7	18	18	NUM
ejpam-6348	37	8	(	(	PUNCT
ejpam-6348	37	9	3	3	NUM
ejpam-6348	37	10	)	)	PUNCT
ejpam-6348	37	11	(	(	PUNCT
ejpam-6348	37	12	2025	2025	NUM
ejpam-6348	37	13	)	)	PUNCT
ejpam-6348	37	14	,	,	PUNCT
ejpam-6348	37	15	6348	6348	NUM
ejpam-6348	37	16	3	3	NUM
ejpam-6348	37	17	of	of	ADP
ejpam-6348	37	18	23	23	NUM
ejpam-6348	37	19	(	(	PUNCT
ejpam-6348	37	20	i	i	NOUN
ejpam-6348	37	21	)	)	PUNCT
ejpam-6348	37	22	proposes	propose	VERB
ejpam-6348	37	23	a	a	DET
ejpam-6348	37	24	novel	novel	ADJ
ejpam-6348	37	25	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	37	26	framework	framework	NOUN
ejpam-6348	37	27	for	for	ADP
ejpam-6348	37	28	hyperparameter	hyperparameter	NOUN
ejpam-6348	37	29	tuning	tuning	NOUN
ejpam-6348	37	30	,	,	PUNCT
ejpam-6348	37	31	integrating	integrate	VERB
ejpam-6348	37	32	q	q	ADJ
ejpam-6348	37	33	-	-	PUNCT
ejpam-6348	37	34	learning	learning	NOUN
ejpam-6348	37	35	-	-	PUNCT
ejpam-6348	37	36	based	base	VERB
ejpam-6348	37	37	heuristic	heuristic	ADJ
ejpam-6348	37	38	selection	selection	NOUN
ejpam-6348	37	39	and	and	CCONJ
ejpam-6348	37	40	simulated	simulated	ADJ
ejpam-6348	37	41	annealing	annealing	NOUN
ejpam-6348	37	42	-	-	PUNCT
ejpam-6348	37	43	based	base	VERB
ejpam-6348	37	44	acceptance	acceptance	NOUN
ejpam-6348	37	45	criteria	criterion	NOUN
ejpam-6348	37	46	.	.	PUNCT
ejpam-6348	38	1	(	(	PUNCT
ejpam-6348	38	2	ii	ii	NOUN
ejpam-6348	38	3	)	)	PUNCT
ejpam-6348	38	4	introduces	introduce	VERB
ejpam-6348	38	5	a	a	DET
ejpam-6348	38	6	three	three	NUM
ejpam-6348	38	7	-	-	PUNCT
ejpam-6348	38	8	category	category	NOUN
ejpam-6348	38	9	heuristic	heuristic	ADJ
ejpam-6348	38	10	approach	approach	NOUN
ejpam-6348	38	11	,	,	PUNCT
ejpam-6348	38	12	classifying	classify	VERB
ejpam-6348	38	13	low	low	ADJ
ejpam-6348	38	14	-	-	PUNCT
ejpam-6348	38	15	level	level	NOUN
ejpam-6348	38	16	heuristics	heuristic	NOUN
ejpam-6348	38	17	as	as	ADP
ejpam-6348	38	18	constructive	constructive	ADJ
ejpam-6348	38	19	,	,	PUNCT
ejpam-6348	38	20	improvement	improvement	NOUN
ejpam-6348	38	21	,	,	PUNCT
ejpam-6348	38	22	and	and	CCONJ
ejpam-6348	38	23	perturbation	perturbation	NOUN
ejpam-6348	38	24	strategies	strategy	NOUN
ejpam-6348	38	25	.	.	PUNCT
ejpam-6348	39	1	(	(	PUNCT
ejpam-6348	39	2	iii	iii	NOUN
ejpam-6348	39	3	)	)	PUNCT
ejpam-6348	39	4	demonstrates	demonstrate	VERB
ejpam-6348	39	5	superior	superior	ADJ
ejpam-6348	39	6	performance	performance	NOUN
ejpam-6348	39	7	over	over	ADP
ejpam-6348	39	8	traditional	traditional	ADJ
ejpam-6348	39	9	and	and	CCONJ
ejpam-6348	39	10	metaheuristic	metaheuristic	ADV
ejpam-6348	39	11	-	-	PUNCT
ejpam-6348	39	12	based	base	VERB
ejpam-6348	39	13	tuning	tuning	NOUN
ejpam-6348	39	14	methods	method	NOUN
ejpam-6348	39	15	in	in	ADP
ejpam-6348	39	16	terms	term	NOUN
ejpam-6348	39	17	of	of	ADP
ejpam-6348	39	18	accuracy	accuracy	NOUN
ejpam-6348	39	19	,	,	PUNCT
ejpam-6348	39	20	computational	computational	ADJ
ejpam-6348	39	21	efficiency	efficiency	NOUN
ejpam-6348	39	22	,	,	PUNCT
ejpam-6348	39	23	and	and	CCONJ
ejpam-6348	39	24	convergence	convergence	NOUN
ejpam-6348	39	25	speed	speed	NOUN
ejpam-6348	39	26	.	.	PUNCT
ejpam-6348	40	1	(	(	PUNCT
ejpam-6348	40	2	iv	iv	X
ejpam-6348	40	3	)	)	PUNCT
ejpam-6348	40	4	provides	provide	VERB
ejpam-6348	40	5	extensive	extensive	ADJ
ejpam-6348	40	6	empirical	empirical	ADJ
ejpam-6348	40	7	validation	validation	NOUN
ejpam-6348	40	8	on	on	ADP
ejpam-6348	40	9	benchmark	benchmark	NOUN
ejpam-6348	40	10	datasets	dataset	NOUN
ejpam-6348	40	11	and	and	CCONJ
ejpam-6348	40	12	multiple	multiple	ADJ
ejpam-6348	40	13	machine	machine	NOUN
ejpam-6348	40	14	learning	learning	NOUN
ejpam-6348	40	15	models	model	NOUN
ejpam-6348	40	16	,	,	PUNCT
ejpam-6348	40	17	ensuring	ensure	VERB
ejpam-6348	40	18	the	the	DET
ejpam-6348	40	19	generalizability	generalizability	NOUN
ejpam-6348	40	20	of	of	ADP
ejpam-6348	40	21	the	the	DET
ejpam-6348	40	22	proposed	propose	VERB
ejpam-6348	40	23	framework	framework	NOUN
ejpam-6348	40	24	.	.	PUNCT
ejpam-6348	41	1	hyperparameter	hyperparameter	NOUN
ejpam-6348	41	2	tuning	tune	VERB
ejpam-6348	41	3	is	be	AUX
ejpam-6348	41	4	a	a	DET
ejpam-6348	41	5	critical	critical	ADJ
ejpam-6348	41	6	aspect	aspect	NOUN
ejpam-6348	41	7	of	of	ADP
ejpam-6348	41	8	optimizing	optimize	VERB
ejpam-6348	41	9	machine	machine	NOUN
ejpam-6348	41	10	learning	learning	NOUN
ejpam-6348	41	11	models	model	NOUN
ejpam-6348	41	12	,	,	PUNCT
ejpam-6348	41	13	directly	directly	ADV
ejpam-6348	41	14	influencing	influence	VERB
ejpam-6348	41	15	their	their	PRON
ejpam-6348	41	16	predictive	predictive	ADJ
ejpam-6348	41	17	accuracy	accuracy	NOUN
ejpam-6348	41	18	,	,	PUNCT
ejpam-6348	41	19	generalization	generalization	NOUN
ejpam-6348	41	20	capability	capability	NOUN
ejpam-6348	41	21	,	,	PUNCT
ejpam-6348	41	22	and	and	CCONJ
ejpam-6348	41	23	computational	computational	ADJ
ejpam-6348	41	24	efficiency	efficiency	NOUN
ejpam-6348	41	25	.	.	PUNCT
ejpam-6348	42	1	however	however	ADV
ejpam-6348	42	2	,	,	PUNCT
ejpam-6348	42	3	the	the	DET
ejpam-6348	42	4	process	process	NOUN
ejpam-6348	42	5	of	of	ADP
ejpam-6348	42	6	selecting	select	VERB
ejpam-6348	42	7	optimal	optimal	ADJ
ejpam-6348	42	8	hyperparameters	hyperparameter	NOUN
ejpam-6348	42	9	remains	remain	VERB
ejpam-6348	42	10	a	a	DET
ejpam-6348	42	11	challenging	challenging	ADJ
ejpam-6348	42	12	task	task	NOUN
ejpam-6348	42	13	due	due	ADP
ejpam-6348	42	14	to	to	ADP
ejpam-6348	42	15	the	the	DET
ejpam-6348	42	16	following	follow	VERB
ejpam-6348	42	17	key	key	ADJ
ejpam-6348	42	18	issues	issue	NOUN
ejpam-6348	42	19	:	:	PUNCT
ejpam-6348	42	20	•	•	NUM
ejpam-6348	42	21	high	high	ADV
ejpam-6348	42	22	-	-	PUNCT
ejpam-6348	42	23	dimensional	dimensional	ADJ
ejpam-6348	42	24	search	search	NOUN
ejpam-6348	42	25	space	space	NOUN
ejpam-6348	42	26	:	:	PUNCT
ejpam-6348	42	27	the	the	DET
ejpam-6348	42	28	hyperparameter	hyperparameter	NOUN
ejpam-6348	42	29	space	space	NOUN
ejpam-6348	42	30	for	for	ADP
ejpam-6348	42	31	complex	complex	ADJ
ejpam-6348	42	32	machine	machine	NOUN
ejpam-6348	42	33	learning	learning	NOUN
ejpam-6348	42	34	models	model	NOUN
ejpam-6348	42	35	is	be	AUX
ejpam-6348	42	36	vast	vast	ADJ
ejpam-6348	42	37	and	and	CCONJ
ejpam-6348	42	38	non	non	ADJ
ejpam-6348	42	39	-	-	ADJ
ejpam-6348	42	40	convex	convex	ADJ
ejpam-6348	42	41	,	,	PUNCT
ejpam-6348	42	42	making	make	VERB
ejpam-6348	42	43	exhaustive	exhaustive	ADJ
ejpam-6348	42	44	search	search	NOUN
ejpam-6348	42	45	strategies	strategy	NOUN
ejpam-6348	42	46	computationally	computationally	ADV
ejpam-6348	42	47	prohibitive	prohibitive	ADJ
ejpam-6348	42	48	.	.	PUNCT
ejpam-6348	43	1	•	•	NUM
ejpam-6348	43	2	inefficient	inefficient	ADJ
ejpam-6348	43	3	traditional	traditional	ADJ
ejpam-6348	43	4	methods	method	NOUN
ejpam-6348	43	5	:	:	PUNCT
ejpam-6348	43	6	grid	grid	NOUN
ejpam-6348	43	7	search	search	NOUN
ejpam-6348	43	8	and	and	CCONJ
ejpam-6348	43	9	random	random	ADJ
ejpam-6348	43	10	search	search	NOUN
ejpam-6348	43	11	,	,	PUNCT
ejpam-6348	43	12	although	although	SCONJ
ejpam-6348	43	13	widely	widely	ADV
ejpam-6348	43	14	used	use	VERB
ejpam-6348	43	15	,	,	PUNCT
ejpam-6348	43	16	suffer	suffer	VERB
ejpam-6348	43	17	from	from	ADP
ejpam-6348	43	18	exponential	exponential	ADJ
ejpam-6348	43	19	time	time	NOUN
ejpam-6348	43	20	complexity	complexity	NOUN
ejpam-6348	43	21	and	and	CCONJ
ejpam-6348	43	22	lack	lack	VERB
ejpam-6348	43	23	adaptive	adaptive	ADJ
ejpam-6348	43	24	learning	learn	VERB
ejpam-6348	43	25	mechanisms	mechanism	NOUN
ejpam-6348	43	26	,	,	PUNCT
ejpam-6348	43	27	leading	lead	VERB
ejpam-6348	43	28	to	to	ADP
ejpam-6348	43	29	suboptimal	suboptimal	ADJ
ejpam-6348	43	30	tuning	tuning	NOUN
ejpam-6348	43	31	efficiency	efficiency	NOUN
ejpam-6348	43	32	.	.	PUNCT
ejpam-6348	44	1	•	•	NUM
ejpam-6348	44	2	lack	lack	NOUN
ejpam-6348	44	3	of	of	ADP
ejpam-6348	44	4	adaptability	adaptability	NOUN
ejpam-6348	44	5	:	:	PUNCT
ejpam-6348	44	6	traditional	traditional	ADJ
ejpam-6348	44	7	tuning	tuning	NOUN
ejpam-6348	44	8	methods	method	NOUN
ejpam-6348	44	9	do	do	AUX
ejpam-6348	44	10	not	not	PART
ejpam-6348	44	11	dynamically	dynamically	ADV
ejpam-6348	44	12	adjust	adjust	VERB
ejpam-6348	44	13	their	their	PRON
ejpam-6348	44	14	search	search	NOUN
ejpam-6348	44	15	strategies	strategy	NOUN
ejpam-6348	44	16	based	base	VERB
ejpam-6348	44	17	on	on	ADP
ejpam-6348	44	18	prior	prior	ADJ
ejpam-6348	44	19	results	result	NOUN
ejpam-6348	44	20	,	,	PUNCT
ejpam-6348	44	21	often	often	ADV
ejpam-6348	44	22	leading	lead	VERB
ejpam-6348	44	23	to	to	AUX
ejpam-6348	44	24	redundant	redundant	ADJ
ejpam-6348	44	25	evaluations	evaluation	NOUN
ejpam-6348	44	26	and	and	CCONJ
ejpam-6348	44	27	slow	slow	ADJ
ejpam-6348	44	28	convergence	convergence	NOUN
ejpam-6348	44	29	.	.	PUNCT
ejpam-6348	45	1	•	•	NUM
ejpam-6348	45	2	risk	risk	NOUN
ejpam-6348	45	3	of	of	ADP
ejpam-6348	45	4	local	local	ADJ
ejpam-6348	45	5	optima	optima	NOUN
ejpam-6348	45	6	:	:	PUNCT
ejpam-6348	45	7	many	many	ADJ
ejpam-6348	45	8	optimization	optimization	NOUN
ejpam-6348	45	9	techniques	technique	NOUN
ejpam-6348	45	10	struggle	struggle	VERB
ejpam-6348	45	11	to	to	PART
ejpam-6348	45	12	escape	escape	VERB
ejpam-6348	45	13	local	local	ADJ
ejpam-6348	45	14	optima	optima	NOUN
ejpam-6348	45	15	,	,	PUNCT
ejpam-6348	45	16	especially	especially	ADV
ejpam-6348	45	17	when	when	SCONJ
ejpam-6348	45	18	dealing	deal	VERB
ejpam-6348	45	19	with	with	ADP
ejpam-6348	45	20	deep	deep	ADJ
ejpam-6348	45	21	learning	learning	NOUN
ejpam-6348	45	22	models	model	NOUN
ejpam-6348	45	23	or	or	CCONJ
ejpam-6348	45	24	highly	highly	ADV
ejpam-6348	45	25	non	non	ADJ
ejpam-6348	45	26	-	-	ADJ
ejpam-6348	45	27	linear	linear	ADJ
ejpam-6348	45	28	search	search	NOUN
ejpam-6348	45	29	spaces	space	NOUN
ejpam-6348	45	30	.	.	PUNCT
ejpam-6348	46	1	•	•	NUM
ejpam-6348	46	2	computational	computational	ADJ
ejpam-6348	46	3	cost	cost	NOUN
ejpam-6348	46	4	:	:	PUNCT
ejpam-6348	46	5	the	the	DET
ejpam-6348	46	6	cost	cost	NOUN
ejpam-6348	46	7	of	of	ADP
ejpam-6348	46	8	hyperparameter	hyperparameter	NOUN
ejpam-6348	46	9	tuning	tune	VERB
ejpam-6348	46	10	increases	increase	NOUN
ejpam-6348	46	11	exponentially	exponentially	ADV
ejpam-6348	46	12	as	as	SCONJ
ejpam-6348	46	13	the	the	DET
ejpam-6348	46	14	number	number	NOUN
ejpam-6348	46	15	of	of	ADP
ejpam-6348	46	16	parameters	parameter	NOUN
ejpam-6348	46	17	grows	grow	VERB
ejpam-6348	46	18	,	,	PUNCT
ejpam-6348	46	19	making	make	VERB
ejpam-6348	46	20	it	it	PRON
ejpam-6348	46	21	impractical	impractical	ADJ
ejpam-6348	46	22	for	for	ADP
ejpam-6348	46	23	real	real	ADJ
ejpam-6348	46	24	-	-	PUNCT
ejpam-6348	46	25	time	time	NOUN
ejpam-6348	46	26	or	or	CCONJ
ejpam-6348	46	27	resourceconstrained	resourceconstraine	VERB
ejpam-6348	46	28	environments	environment	NOUN
ejpam-6348	46	29	.	.	PUNCT
ejpam-6348	47	1	to	to	PART
ejpam-6348	47	2	address	address	VERB
ejpam-6348	47	3	these	these	DET
ejpam-6348	47	4	challenges	challenge	NOUN
ejpam-6348	47	5	,	,	PUNCT
ejpam-6348	47	6	the	the	DET
ejpam-6348	47	7	ahpqa	ahpqa	ADJ
ejpam-6348	47	8	framework	framework	NOUN
ejpam-6348	47	9	proposes	propose	VERB
ejpam-6348	47	10	an	an	DET
ejpam-6348	47	11	adaptive	adaptive	ADJ
ejpam-6348	47	12	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	47	13	framework	framework	NOUN
ejpam-6348	47	14	that	that	PRON
ejpam-6348	47	15	dynamically	dynamically	ADV
ejpam-6348	47	16	selects	select	NOUN
ejpam-6348	47	17	and	and	CCONJ
ejpam-6348	47	18	applies	apply	VERB
ejpam-6348	47	19	constructive	constructive	ADJ
ejpam-6348	47	20	,	,	PUNCT
ejpam-6348	47	21	improvement	improvement	NOUN
ejpam-6348	47	22	,	,	PUNCT
ejpam-6348	47	23	and	and	CCONJ
ejpam-6348	47	24	perturbation	perturbation	NOUN
ejpam-6348	47	25	heuristics	heuristic	NOUN
ejpam-6348	47	26	based	base	VERB
ejpam-6348	47	27	on	on	ADP
ejpam-6348	47	28	a	a	DET
ejpam-6348	47	29	q	q	ADJ
ejpam-6348	47	30	-	-	PUNCT
ejpam-6348	47	31	learning	learning	NOUN
ejpam-6348	47	32	-	-	PUNCT
ejpam-6348	47	33	based	base	VERB
ejpam-6348	47	34	selection	selection	NOUN
ejpam-6348	47	35	mechanism	mechanism	NOUN
ejpam-6348	47	36	.	.	PUNCT
ejpam-6348	48	1	additionally	additionally	ADV
ejpam-6348	48	2	,	,	PUNCT
ejpam-6348	48	3	the	the	DET
ejpam-6348	48	4	framework	framework	NOUN
ejpam-6348	48	5	incorporates	incorporate	VERB
ejpam-6348	48	6	simulated	simulated	ADJ
ejpam-6348	48	7	annealing	anneal	VERB
ejpam-6348	48	8	acceptance	acceptance	NOUN
ejpam-6348	48	9	criteria	criterion	NOUN
ejpam-6348	48	10	to	to	PART
ejpam-6348	48	11	balance	balance	VERB
ejpam-6348	48	12	exploration	exploration	NOUN
ejpam-6348	48	13	and	and	CCONJ
ejpam-6348	48	14	exploitation	exploitation	NOUN
ejpam-6348	48	15	,	,	PUNCT
ejpam-6348	48	16	ensuring	ensure	VERB
ejpam-6348	48	17	efficient	efficient	ADJ
ejpam-6348	48	18	traversal	traversal	NOUN
ejpam-6348	48	19	of	of	ADP
ejpam-6348	48	20	the	the	DET
ejpam-6348	48	21	hyperparameter	hyperparameter	NOUN
ejpam-6348	48	22	space	space	NOUN
ejpam-6348	48	23	.	.	PUNCT
ejpam-6348	49	1	ahpqa	ahpqa	ADJ
ejpam-6348	49	2	framework	framework	NOUN
ejpam-6348	49	3	aims	aim	VERB
ejpam-6348	49	4	to	to	PART
ejpam-6348	49	5	develop	develop	VERB
ejpam-6348	49	6	and	and	CCONJ
ejpam-6348	49	7	evaluate	evaluate	VERB
ejpam-6348	49	8	a	a	DET
ejpam-6348	49	9	novel	novel	ADJ
ejpam-6348	49	10	hyperheuristic	hyperheuristic	ADV
ejpam-6348	49	11	-	-	PUNCT
ejpam-6348	49	12	based	base	VERB
ejpam-6348	49	13	optimization	optimization	NOUN
ejpam-6348	49	14	approach	approach	NOUN
ejpam-6348	49	15	that	that	PRON
ejpam-6348	49	16	significantly	significantly	ADV
ejpam-6348	49	17	improves	improve	VERB
ejpam-6348	49	18	model	model	NOUN
ejpam-6348	49	19	performance	performance	NOUN
ejpam-6348	49	20	while	while	SCONJ
ejpam-6348	49	21	reducing	reduce	VERB
ejpam-6348	49	22	computational	computational	ADJ
ejpam-6348	49	23	overhead	overhead	NOUN
ejpam-6348	49	24	.	.	PUNCT
ejpam-6348	50	1	the	the	DET
ejpam-6348	50	2	proposed	propose	VERB
ejpam-6348	50	3	framework	framework	NOUN
ejpam-6348	50	4	is	be	AUX
ejpam-6348	50	5	expected	expect	VERB
ejpam-6348	50	6	to	to	PART
ejpam-6348	50	7	outperform	outperform	VERB
ejpam-6348	50	8	existing	exist	VERB
ejpam-6348	50	9	tuning	tuning	NOUN
ejpam-6348	50	10	strategies	strategy	NOUN
ejpam-6348	50	11	by	by	ADP
ejpam-6348	50	12	adapting	adapt	VERB
ejpam-6348	50	13	to	to	ADP
ejpam-6348	50	14	different	different	ADJ
ejpam-6348	50	15	search	search	NOUN
ejpam-6348	50	16	landscapes	landscape	NOUN
ejpam-6348	50	17	,	,	PUNCT
ejpam-6348	50	18	preventing	prevent	VERB
ejpam-6348	50	19	premature	premature	ADJ
ejpam-6348	50	20	convergence	convergence	NOUN
ejpam-6348	50	21	,	,	PUNCT
ejpam-6348	50	22	and	and	CCONJ
ejpam-6348	50	23	leveraging	leverage	VERB
ejpam-6348	50	24	reinforcement	reinforcement	NOUN
ejpam-6348	50	25	learning	learning	NOUN
ejpam-6348	50	26	for	for	ADP
ejpam-6348	50	27	heuristic	heuristic	ADJ
ejpam-6348	50	28	selection	selection	NOUN
ejpam-6348	50	29	.	.	PUNCT
ejpam-6348	51	1	k.	k.	PROPN
ejpam-6348	51	2	danach	danach	PROPN
ejpam-6348	51	3	,	,	PUNCT
ejpam-6348	51	4	w.	w.	PROPN
ejpam-6348	51	5	h.	h.	PROPN
ejpam-6348	51	6	f.	f.	PROPN
ejpam-6348	51	7	aly	aly	PROPN
ejpam-6348	51	8	/	/	SYM
ejpam-6348	51	9	eur	eur	PROPN
ejpam-6348	51	10	.	.	PUNCT
ejpam-6348	52	1	j.	j.	PROPN
ejpam-6348	52	2	pure	pure	PROPN
ejpam-6348	52	3	appl	appl	PROPN
ejpam-6348	52	4	.	.	PROPN
ejpam-6348	52	5	math	math	PROPN
ejpam-6348	52	6	,	,	PUNCT
ejpam-6348	52	7	18	18	NUM
ejpam-6348	52	8	(	(	PUNCT
ejpam-6348	52	9	3	3	NUM
ejpam-6348	52	10	)	)	PUNCT
ejpam-6348	52	11	(	(	PUNCT
ejpam-6348	52	12	2025	2025	NUM
ejpam-6348	52	13	)	)	PUNCT
ejpam-6348	52	14	,	,	PUNCT
ejpam-6348	52	15	6348	6348	NUM
ejpam-6348	52	16	4	4	NUM
ejpam-6348	52	17	of	of	ADP
ejpam-6348	52	18	23	23	NUM
ejpam-6348	52	19	the	the	DET
ejpam-6348	52	20	primary	primary	ADJ
ejpam-6348	52	21	objective	objective	NOUN
ejpam-6348	52	22	of	of	ADP
ejpam-6348	52	23	this	this	DET
ejpam-6348	52	24	research	research	NOUN
ejpam-6348	52	25	is	be	AUX
ejpam-6348	52	26	to	to	PART
ejpam-6348	52	27	develop	develop	VERB
ejpam-6348	52	28	an	an	DET
ejpam-6348	52	29	adaptive	adaptive	ADJ
ejpam-6348	52	30	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	52	31	framework	framework	NOUN
ejpam-6348	52	32	for	for	ADP
ejpam-6348	52	33	hyperparameter	hyperparameter	NOUN
ejpam-6348	52	34	tuning	tune	VERB
ejpam-6348	52	35	that	that	SCONJ
ejpam-6348	52	36	efficiently	efficiently	ADV
ejpam-6348	52	37	balances	balance	VERB
ejpam-6348	52	38	exploration	exploration	NOUN
ejpam-6348	52	39	and	and	CCONJ
ejpam-6348	52	40	exploitation	exploitation	NOUN
ejpam-6348	52	41	through	through	ADP
ejpam-6348	52	42	q	q	ADJ
ejpam-6348	52	43	-	-	PUNCT
ejpam-6348	52	44	learning	learning	NOUN
ejpam-6348	52	45	-	-	PUNCT
ejpam-6348	52	46	based	base	VERB
ejpam-6348	52	47	heuristic	heuristic	ADJ
ejpam-6348	52	48	selection	selection	NOUN
ejpam-6348	52	49	and	and	CCONJ
ejpam-6348	52	50	simulated	simulate	VERB
ejpam-6348	52	51	annealing	anneal	VERB
ejpam-6348	52	52	acceptance	acceptance	NOUN
ejpam-6348	52	53	criteria	criterion	NOUN
ejpam-6348	52	54	.	.	PUNCT
ejpam-6348	53	1	the	the	DET
ejpam-6348	53	2	study	study	NOUN
ejpam-6348	53	3	aims	aim	VERB
ejpam-6348	53	4	to	to	PART
ejpam-6348	53	5	:	:	PUNCT
ejpam-6348	53	6	•	•	ADP
ejpam-6348	53	7	propose	propose	VERB
ejpam-6348	53	8	a	a	DET
ejpam-6348	53	9	novel	novel	ADJ
ejpam-6348	53	10	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	53	11	approach	approach	NOUN
ejpam-6348	53	12	that	that	PRON
ejpam-6348	53	13	dynamically	dynamically	ADV
ejpam-6348	53	14	selects	select	VERB
ejpam-6348	53	15	low	low	ADJ
ejpam-6348	53	16	-	-	PUNCT
ejpam-6348	53	17	level	level	NOUN
ejpam-6348	53	18	heuristics	heuristic	NOUN
ejpam-6348	53	19	for	for	ADP
ejpam-6348	53	20	hyperparameter	hyperparameter	NOUN
ejpam-6348	53	21	optimization	optimization	NOUN
ejpam-6348	53	22	.	.	PUNCT
ejpam-6348	54	1	•	•	NUM
ejpam-6348	54	2	evaluate	evaluate	VERB
ejpam-6348	54	3	the	the	DET
ejpam-6348	54	4	impact	impact	NOUN
ejpam-6348	54	5	of	of	ADP
ejpam-6348	54	6	constructive	constructive	ADJ
ejpam-6348	54	7	,	,	PUNCT
ejpam-6348	54	8	improvement	improvement	NOUN
ejpam-6348	54	9	,	,	PUNCT
ejpam-6348	54	10	and	and	CCONJ
ejpam-6348	54	11	perturbation	perturbation	NOUN
ejpam-6348	54	12	heuristics	heuristic	NOUN
ejpam-6348	54	13	on	on	ADP
ejpam-6348	54	14	model	model	NOUN
ejpam-6348	54	15	performance	performance	NOUN
ejpam-6348	54	16	.	.	PUNCT
ejpam-6348	55	1	•	•	NUM
ejpam-6348	55	2	compare	compare	VERB
ejpam-6348	55	3	the	the	DET
ejpam-6348	55	4	proposed	propose	VERB
ejpam-6348	55	5	method	method	NOUN
ejpam-6348	55	6	against	against	ADP
ejpam-6348	55	7	traditional	traditional	ADJ
ejpam-6348	55	8	hyperparameter	hyperparameter	NOUN
ejpam-6348	55	9	tuning	tune	VERB
ejpam-6348	55	10	techniques	technique	NOUN
ejpam-6348	55	11	in	in	ADP
ejpam-6348	55	12	terms	term	NOUN
ejpam-6348	55	13	of	of	ADP
ejpam-6348	55	14	accuracy	accuracy	NOUN
ejpam-6348	55	15	,	,	PUNCT
ejpam-6348	55	16	convergence	convergence	NOUN
ejpam-6348	55	17	speed	speed	NOUN
ejpam-6348	55	18	,	,	PUNCT
ejpam-6348	55	19	and	and	CCONJ
ejpam-6348	55	20	computational	computational	ADJ
ejpam-6348	55	21	efficiency	efficiency	NOUN
ejpam-6348	55	22	.	.	PUNCT
ejpam-6348	56	1	•	•	NUM
ejpam-6348	56	2	demonstrate	demonstrate	VERB
ejpam-6348	56	3	the	the	DET
ejpam-6348	56	4	applicability	applicability	NOUN
ejpam-6348	56	5	of	of	ADP
ejpam-6348	56	6	the	the	DET
ejpam-6348	56	7	framework	framework	NOUN
ejpam-6348	56	8	across	across	ADP
ejpam-6348	56	9	different	different	ADJ
ejpam-6348	56	10	machine	machine	NOUN
ejpam-6348	56	11	learning	learning	NOUN
ejpam-6348	56	12	models	model	NOUN
ejpam-6348	56	13	and	and	CCONJ
ejpam-6348	56	14	datasets	dataset	NOUN
ejpam-6348	56	15	.	.	PUNCT
ejpam-6348	57	1	this	this	DET
ejpam-6348	57	2	study	study	NOUN
ejpam-6348	57	3	seeks	seek	VERB
ejpam-6348	57	4	to	to	PART
ejpam-6348	57	5	answer	answer	VERB
ejpam-6348	57	6	the	the	DET
ejpam-6348	57	7	following	follow	VERB
ejpam-6348	57	8	research	research	NOUN
ejpam-6348	57	9	questions	question	NOUN
ejpam-6348	57	10	:	:	PUNCT
ejpam-6348	57	11	•	•	NUM
ejpam-6348	57	12	how	how	SCONJ
ejpam-6348	57	13	does	do	AUX
ejpam-6348	57	14	the	the	DET
ejpam-6348	57	15	proposed	propose	VERB
ejpam-6348	57	16	hyperheuristic	hyperheuristic	NOUN
ejpam-6348	57	17	-	-	PUNCT
ejpam-6348	57	18	based	base	VERB
ejpam-6348	57	19	tuning	tuning	NOUN
ejpam-6348	57	20	framework	framework	NOUN
ejpam-6348	57	21	compare	compare	VERB
ejpam-6348	57	22	to	to	ADP
ejpam-6348	57	23	traditional	traditional	ADJ
ejpam-6348	57	24	tuning	tuning	NOUN
ejpam-6348	57	25	methods	method	NOUN
ejpam-6348	57	26	(	(	PUNCT
ejpam-6348	57	27	grid	grid	NOUN
ejpam-6348	57	28	search	search	NOUN
ejpam-6348	57	29	,	,	PUNCT
ejpam-6348	57	30	random	random	ADJ
ejpam-6348	57	31	search	search	NOUN
ejpam-6348	57	32	,	,	PUNCT
ejpam-6348	57	33	bayesian	bayesian	NOUN
ejpam-6348	57	34	optimization	optimization	NOUN
ejpam-6348	57	35	)	)	PUNCT
ejpam-6348	57	36	in	in	ADP
ejpam-6348	57	37	terms	term	NOUN
ejpam-6348	57	38	of	of	ADP
ejpam-6348	57	39	accuracy	accuracy	NOUN
ejpam-6348	57	40	and	and	CCONJ
ejpam-6348	57	41	efficiency	efficiency	NOUN
ejpam-6348	57	42	?	?	PUNCT
ejpam-6348	58	1	•	•	NOUN
ejpam-6348	58	2	can	can	AUX
ejpam-6348	58	3	a	a	DET
ejpam-6348	58	4	q	q	ADJ
ejpam-6348	58	5	-	-	PUNCT
ejpam-6348	58	6	learning	learning	NOUN
ejpam-6348	58	7	-	-	PUNCT
ejpam-6348	58	8	based	base	VERB
ejpam-6348	58	9	heuristic	heuristic	ADJ
ejpam-6348	58	10	selection	selection	NOUN
ejpam-6348	58	11	mechanism	mechanism	NOUN
ejpam-6348	58	12	improve	improve	VERB
ejpam-6348	58	13	hyperparameter	hyperparameter	NOUN
ejpam-6348	58	14	search	search	NOUN
ejpam-6348	58	15	performance	performance	NOUN
ejpam-6348	58	16	by	by	ADP
ejpam-6348	58	17	adapting	adapt	VERB
ejpam-6348	58	18	to	to	ADP
ejpam-6348	58	19	different	different	ADJ
ejpam-6348	58	20	search	search	NOUN
ejpam-6348	58	21	landscapes	landscape	NOUN
ejpam-6348	58	22	?	?	PUNCT
ejpam-6348	59	1	•	•	NUM
ejpam-6348	59	2	what	what	PRON
ejpam-6348	59	3	is	be	AUX
ejpam-6348	59	4	the	the	DET
ejpam-6348	59	5	effect	effect	NOUN
ejpam-6348	59	6	of	of	ADP
ejpam-6348	59	7	simulated	simulated	ADJ
ejpam-6348	59	8	annealing	annealing	NOUN
ejpam-6348	59	9	-	-	PUNCT
ejpam-6348	59	10	based	base	VERB
ejpam-6348	59	11	acceptance	acceptance	NOUN
ejpam-6348	59	12	criteria	criterion	NOUN
ejpam-6348	59	13	on	on	ADP
ejpam-6348	59	14	avoiding	avoid	VERB
ejpam-6348	59	15	local	local	ADJ
ejpam-6348	59	16	optima	optima	NOUN
ejpam-6348	59	17	in	in	ADP
ejpam-6348	59	18	hyperparameter	hyperparameter	NOUN
ejpam-6348	59	19	tuning	tune	VERB
ejpam-6348	59	20	?	?	PUNCT
ejpam-6348	60	1	•	•	NUM
ejpam-6348	60	2	how	how	SCONJ
ejpam-6348	60	3	well	well	ADV
ejpam-6348	60	4	does	do	AUX
ejpam-6348	60	5	the	the	DET
ejpam-6348	60	6	proposed	propose	VERB
ejpam-6348	60	7	framework	framework	NOUN
ejpam-6348	60	8	generalize	generalize	VERB
ejpam-6348	60	9	across	across	ADP
ejpam-6348	60	10	different	different	ADJ
ejpam-6348	60	11	machine	machine	NOUN
ejpam-6348	60	12	learning	learning	NOUN
ejpam-6348	60	13	models	model	NOUN
ejpam-6348	60	14	and	and	CCONJ
ejpam-6348	60	15	datasets	dataset	NOUN
ejpam-6348	60	16	?	?	PUNCT
ejpam-6348	61	1	•	•	NUM
ejpam-6348	61	2	what	what	PRON
ejpam-6348	61	3	are	be	AUX
ejpam-6348	61	4	the	the	DET
ejpam-6348	61	5	computational	computational	ADJ
ejpam-6348	61	6	trade	trade	NOUN
ejpam-6348	61	7	-	-	PUNCT
ejpam-6348	61	8	offs	off	NOUN
ejpam-6348	61	9	between	between	ADP
ejpam-6348	61	10	hyperheuristic	hyperheuristic	ADV
ejpam-6348	61	11	based	base	VERB
ejpam-6348	61	12	optimization	optimization	NOUN
ejpam-6348	61	13	and	and	CCONJ
ejpam-6348	61	14	existing	exist	VERB
ejpam-6348	61	15	tuning	tuning	NOUN
ejpam-6348	61	16	techniques	technique	NOUN
ejpam-6348	61	17	?	?	PUNCT
ejpam-6348	62	1	to	to	PART
ejpam-6348	62	2	systematically	systematically	ADV
ejpam-6348	62	3	evaluate	evaluate	VERB
ejpam-6348	62	4	the	the	DET
ejpam-6348	62	5	effectiveness	effectiveness	NOUN
ejpam-6348	62	6	of	of	ADP
ejpam-6348	62	7	the	the	DET
ejpam-6348	62	8	proposed	propose	VERB
ejpam-6348	62	9	method	method	NOUN
ejpam-6348	62	10	,	,	PUNCT
ejpam-6348	62	11	the	the	DET
ejpam-6348	62	12	following	follow	VERB
ejpam-6348	62	13	hypotheses	hypothesis	NOUN
ejpam-6348	62	14	are	be	AUX
ejpam-6348	62	15	formulated	formulate	VERB
ejpam-6348	62	16	:	:	PUNCT
ejpam-6348	62	17	h0	h0	NOUN
ejpam-6348	62	18	:	:	PUNCT
ejpam-6348	62	19	the	the	DET
ejpam-6348	62	20	proposed	propose	VERB
ejpam-6348	62	21	hyperheuristic	hyperheuristic	NOUN
ejpam-6348	62	22	-	-	PUNCT
ejpam-6348	62	23	based	base	VERB
ejpam-6348	62	24	hyperparameter	hyperparameter	NOUN
ejpam-6348	62	25	tuning	tuning	NOUN
ejpam-6348	62	26	framework	framework	NOUN
ejpam-6348	62	27	does	do	AUX
ejpam-6348	62	28	not	not	PART
ejpam-6348	62	29	significantly	significantly	ADV
ejpam-6348	62	30	improve	improve	VERB
ejpam-6348	62	31	model	model	NOUN
ejpam-6348	62	32	accuracy	accuracy	NOUN
ejpam-6348	62	33	,	,	PUNCT
ejpam-6348	62	34	convergence	convergence	NOUN
ejpam-6348	62	35	speed	speed	NOUN
ejpam-6348	62	36	,	,	PUNCT
ejpam-6348	62	37	or	or	CCONJ
ejpam-6348	62	38	computational	computational	ADJ
ejpam-6348	62	39	efficiency	efficiency	NOUN
ejpam-6348	62	40	compared	compare	VERB
ejpam-6348	62	41	to	to	ADP
ejpam-6348	62	42	traditional	traditional	ADJ
ejpam-6348	62	43	tuning	tuning	NOUN
ejpam-6348	62	44	methods	method	NOUN
ejpam-6348	62	45	.	.	PUNCT
ejpam-6348	63	1	h1	h1	PROPN
ejpam-6348	63	2	:	:	PUNCT
ejpam-6348	63	3	the	the	DET
ejpam-6348	63	4	proposed	propose	VERB
ejpam-6348	63	5	hyperheuristic	hyperheuristic	NOUN
ejpam-6348	63	6	-	-	PUNCT
ejpam-6348	63	7	based	base	VERB
ejpam-6348	63	8	hyperparameter	hyperparameter	NOUN
ejpam-6348	63	9	tuning	tune	VERB
ejpam-6348	63	10	framework	framework	NOUN
ejpam-6348	63	11	significantly	significantly	ADV
ejpam-6348	63	12	improves	improve	VERB
ejpam-6348	63	13	model	model	NOUN
ejpam-6348	63	14	accuracy	accuracy	NOUN
ejpam-6348	63	15	,	,	PUNCT
ejpam-6348	63	16	convergence	convergence	NOUN
ejpam-6348	63	17	speed	speed	NOUN
ejpam-6348	63	18	,	,	PUNCT
ejpam-6348	63	19	and	and	CCONJ
ejpam-6348	63	20	computational	computational	ADJ
ejpam-6348	63	21	efficiency	efficiency	NOUN
ejpam-6348	63	22	compared	compare	VERB
ejpam-6348	63	23	to	to	ADP
ejpam-6348	63	24	traditional	traditional	ADJ
ejpam-6348	63	25	tuning	tuning	NOUN
ejpam-6348	63	26	methods	method	NOUN
ejpam-6348	63	27	.	.	PUNCT
ejpam-6348	64	1	these	these	DET
ejpam-6348	64	2	hypotheses	hypothesis	NOUN
ejpam-6348	64	3	will	will	AUX
ejpam-6348	64	4	be	be	AUX
ejpam-6348	64	5	tested	test	VERB
ejpam-6348	64	6	using	use	VERB
ejpam-6348	64	7	statistical	statistical	ADJ
ejpam-6348	64	8	validation	validation	NOUN
ejpam-6348	64	9	techniques	technique	NOUN
ejpam-6348	64	10	,	,	PUNCT
ejpam-6348	64	11	including	include	VERB
ejpam-6348	64	12	performance	performance	NOUN
ejpam-6348	64	13	comparison	comparison	NOUN
ejpam-6348	64	14	metrics	metric	NOUN
ejpam-6348	64	15	,	,	PUNCT
ejpam-6348	64	16	wilcoxon	wilcoxon	VERB
ejpam-6348	64	17	signed	sign	VERB
ejpam-6348	64	18	-	-	PUNCT
ejpam-6348	64	19	rank	rank	NOUN
ejpam-6348	64	20	tests	test	NOUN
ejpam-6348	64	21	,	,	PUNCT
ejpam-6348	64	22	and	and	CCONJ
ejpam-6348	64	23	convergence	convergence	NOUN
ejpam-6348	64	24	analysis	analysis	NOUN
ejpam-6348	64	25	.	.	PUNCT
ejpam-6348	65	1	the	the	DET
ejpam-6348	65	2	remainder	remainder	NOUN
ejpam-6348	65	3	of	of	ADP
ejpam-6348	65	4	this	this	DET
ejpam-6348	65	5	paper	paper	NOUN
ejpam-6348	65	6	is	be	AUX
ejpam-6348	65	7	structured	structure	VERB
ejpam-6348	65	8	as	as	SCONJ
ejpam-6348	65	9	follows	follow	VERB
ejpam-6348	65	10	:	:	PUNCT
ejpam-6348	65	11	section	section	NOUN
ejpam-6348	65	12	2	2	NUM
ejpam-6348	65	13	reviews	review	VERB
ejpam-6348	65	14	the	the	DET
ejpam-6348	65	15	existing	exist	VERB
ejpam-6348	65	16	approaches	approach	NOUN
ejpam-6348	65	17	in	in	ADP
ejpam-6348	65	18	hyperparameter	hyperparameter	NOUN
ejpam-6348	65	19	optimization	optimization	NOUN
ejpam-6348	65	20	.	.	PUNCT
ejpam-6348	66	1	the	the	DET
ejpam-6348	66	2	proposed	propose	VERB
ejpam-6348	66	3	approach	approach	NOUN
ejpam-6348	66	4	is	be	AUX
ejpam-6348	66	5	detailed	detail	VERB
ejpam-6348	66	6	in	in	ADP
ejpam-6348	66	7	section	section	NOUN
ejpam-6348	66	8	3	3	NUM
ejpam-6348	66	9	.	.	PUNCT
ejpam-6348	66	10	section	section	NOUN
ejpam-6348	66	11	4	4	NUM
ejpam-6348	66	12	discusses	discuss	VERB
ejpam-6348	66	13	the	the	DET
ejpam-6348	66	14	experimental	experimental	ADJ
ejpam-6348	66	15	evaluation	evaluation	NOUN
ejpam-6348	66	16	and	and	CCONJ
ejpam-6348	66	17	comparative	comparative	ADJ
ejpam-6348	66	18	results	result	NOUN
ejpam-6348	66	19	.	.	PUNCT
ejpam-6348	67	1	finally	finally	ADV
ejpam-6348	67	2	,	,	PUNCT
ejpam-6348	67	3	section	section	NOUN
ejpam-6348	67	4	5	5	NUM
ejpam-6348	67	5	provides	provide	VERB
ejpam-6348	67	6	the	the	DET
ejpam-6348	67	7	conclusions	conclusion	NOUN
ejpam-6348	67	8	and	and	CCONJ
ejpam-6348	67	9	outlines	outline	VERB
ejpam-6348	67	10	future	future	ADJ
ejpam-6348	67	11	research	research	NOUN
ejpam-6348	67	12	directions	direction	NOUN
ejpam-6348	67	13	.	.	PUNCT
ejpam-6348	68	1	k.	k.	PROPN
ejpam-6348	68	2	danach	danach	PROPN
ejpam-6348	68	3	,	,	PUNCT
ejpam-6348	68	4	w.	w.	PROPN
ejpam-6348	68	5	h.	h.	PROPN
ejpam-6348	68	6	f.	f.	PROPN
ejpam-6348	68	7	aly	aly	PROPN
ejpam-6348	68	8	/	/	SYM
ejpam-6348	68	9	eur	eur	PROPN
ejpam-6348	68	10	.	.	PUNCT
ejpam-6348	69	1	j.	j.	PROPN
ejpam-6348	69	2	pure	pure	PROPN
ejpam-6348	69	3	appl	appl	PROPN
ejpam-6348	69	4	.	.	PROPN
ejpam-6348	69	5	math	math	PROPN
ejpam-6348	69	6	,	,	PUNCT
ejpam-6348	69	7	18	18	NUM
ejpam-6348	69	8	(	(	PUNCT
ejpam-6348	69	9	3	3	NUM
ejpam-6348	69	10	)	)	PUNCT
ejpam-6348	69	11	(	(	PUNCT
ejpam-6348	69	12	2025	2025	NUM
ejpam-6348	69	13	)	)	PUNCT
ejpam-6348	69	14	,	,	PUNCT
ejpam-6348	69	15	6348	6348	NUM
ejpam-6348	69	16	5	5	NUM
ejpam-6348	69	17	of	of	ADP
ejpam-6348	69	18	23	23	NUM
ejpam-6348	69	19	2	2	NUM
ejpam-6348	69	20	.	.	PUNCT
ejpam-6348	69	21	related	relate	VERB
ejpam-6348	69	22	work	work	NOUN
ejpam-6348	69	23	hyperparameter	hyperparameter	NOUN
ejpam-6348	69	24	tuning	tuning	NOUN
ejpam-6348	69	25	remains	remain	VERB
ejpam-6348	69	26	a	a	DET
ejpam-6348	69	27	pivotal	pivotal	ADJ
ejpam-6348	69	28	element	element	NOUN
ejpam-6348	69	29	in	in	ADP
ejpam-6348	69	30	machine	machine	NOUN
ejpam-6348	69	31	learning	learning	NOUN
ejpam-6348	69	32	,	,	PUNCT
ejpam-6348	69	33	as	as	SCONJ
ejpam-6348	69	34	it	it	PRON
ejpam-6348	69	35	directly	directly	ADV
ejpam-6348	69	36	affects	affect	VERB
ejpam-6348	69	37	model	model	NOUN
ejpam-6348	69	38	performance	performance	NOUN
ejpam-6348	69	39	,	,	PUNCT
ejpam-6348	69	40	generalization	generalization	NOUN
ejpam-6348	69	41	ability	ability	NOUN
ejpam-6348	69	42	,	,	PUNCT
ejpam-6348	69	43	and	and	CCONJ
ejpam-6348	69	44	training	training	NOUN
ejpam-6348	69	45	stability	stability	NOUN
ejpam-6348	69	46	.	.	PUNCT
ejpam-6348	70	1	the	the	DET
ejpam-6348	70	2	optimization	optimization	NOUN
ejpam-6348	70	3	of	of	ADP
ejpam-6348	70	4	hyperparameters	hyperparameter	NOUN
ejpam-6348	70	5	determines	determine	VERB
ejpam-6348	70	6	how	how	SCONJ
ejpam-6348	70	7	effectively	effectively	ADV
ejpam-6348	70	8	a	a	DET
ejpam-6348	70	9	model	model	NOUN
ejpam-6348	70	10	can	can	AUX
ejpam-6348	70	11	capture	capture	VERB
ejpam-6348	70	12	underlying	underlying	ADJ
ejpam-6348	70	13	patterns	pattern	NOUN
ejpam-6348	70	14	without	without	ADP
ejpam-6348	70	15	overfitting	overfitte	VERB
ejpam-6348	70	16	or	or	CCONJ
ejpam-6348	70	17	underfitting	underfitte	VERB
ejpam-6348	70	18	the	the	DET
ejpam-6348	70	19	data	datum	NOUN
ejpam-6348	70	20	.	.	PUNCT
ejpam-6348	71	1	over	over	ADP
ejpam-6348	71	2	the	the	DET
ejpam-6348	71	3	years	year	NOUN
ejpam-6348	71	4	,	,	PUNCT
ejpam-6348	71	5	a	a	DET
ejpam-6348	71	6	variety	variety	NOUN
ejpam-6348	71	7	of	of	ADP
ejpam-6348	71	8	strategies	strategy	NOUN
ejpam-6348	71	9	have	have	AUX
ejpam-6348	71	10	been	be	AUX
ejpam-6348	71	11	developed	develop	VERB
ejpam-6348	71	12	to	to	PART
ejpam-6348	71	13	automate	automate	VERB
ejpam-6348	71	14	and	and	CCONJ
ejpam-6348	71	15	enhance	enhance	VERB
ejpam-6348	71	16	this	this	DET
ejpam-6348	71	17	tuning	tuning	NOUN
ejpam-6348	71	18	process	process	NOUN
ejpam-6348	71	19	.	.	PUNCT
ejpam-6348	72	1	traditional	traditional	ADJ
ejpam-6348	72	2	approaches	approach	NOUN
ejpam-6348	72	3	,	,	PUNCT
ejpam-6348	72	4	such	such	ADJ
ejpam-6348	72	5	as	as	ADP
ejpam-6348	72	6	grid	grid	NOUN
ejpam-6348	72	7	search	search	NOUN
ejpam-6348	72	8	and	and	CCONJ
ejpam-6348	72	9	random	random	ADJ
ejpam-6348	72	10	search	search	NOUN
ejpam-6348	72	11	,	,	PUNCT
ejpam-6348	72	12	have	have	AUX
ejpam-6348	72	13	been	be	AUX
ejpam-6348	72	14	widely	widely	ADV
ejpam-6348	72	15	utilized	utilize	VERB
ejpam-6348	72	16	due	due	ADP
ejpam-6348	72	17	to	to	ADP
ejpam-6348	72	18	their	their	PRON
ejpam-6348	72	19	simplicity	simplicity	NOUN
ejpam-6348	72	20	,	,	PUNCT
ejpam-6348	72	21	although	although	SCONJ
ejpam-6348	72	22	they	they	PRON
ejpam-6348	72	23	suffer	suffer	VERB
ejpam-6348	72	24	from	from	ADP
ejpam-6348	72	25	scalability	scalability	NOUN
ejpam-6348	72	26	issues	issue	NOUN
ejpam-6348	72	27	and	and	CCONJ
ejpam-6348	72	28	inefficiency	inefficiency	NOUN
ejpam-6348	72	29	in	in	ADP
ejpam-6348	72	30	high	high	ADJ
ejpam-6348	72	31	-	-	PUNCT
ejpam-6348	72	32	dimensional	dimensional	ADJ
ejpam-6348	72	33	spaces	space	NOUN
ejpam-6348	72	34	[	[	X
ejpam-6348	72	35	11	11	NUM
ejpam-6348	72	36	]	]	PUNCT
ejpam-6348	72	37	.	.	PUNCT
ejpam-6348	73	1	to	to	PART
ejpam-6348	73	2	address	address	VERB
ejpam-6348	73	3	these	these	DET
ejpam-6348	73	4	limitations	limitation	NOUN
ejpam-6348	73	5	,	,	PUNCT
ejpam-6348	73	6	metaheuristic	metaheuristic	ADJ
ejpam-6348	73	7	algorithms	algorithm	NOUN
ejpam-6348	73	8	—	—	PUNCT
ejpam-6348	73	9	such	such	ADJ
ejpam-6348	73	10	as	as	ADP
ejpam-6348	73	11	genetic	genetic	ADJ
ejpam-6348	73	12	algorithms	algorithm	NOUN
ejpam-6348	73	13	,	,	PUNCT
ejpam-6348	73	14	particle	particle	NOUN
ejpam-6348	73	15	swarm	swarm	NOUN
ejpam-6348	73	16	optimization	optimization	NOUN
ejpam-6348	73	17	,	,	PUNCT
ejpam-6348	73	18	and	and	CCONJ
ejpam-6348	73	19	simulated	simulated	ADJ
ejpam-6348	73	20	annealing	annealing	NOUN
ejpam-6348	73	21	—	—	PUNCT
ejpam-6348	73	22	have	have	AUX
ejpam-6348	73	23	gained	gain	VERB
ejpam-6348	73	24	prominence	prominence	NOUN
ejpam-6348	73	25	,	,	PUNCT
ejpam-6348	73	26	offering	offer	VERB
ejpam-6348	73	27	better	well	ADJ
ejpam-6348	73	28	exploration	exploration	NOUN
ejpam-6348	73	29	-	-	PUNCT
ejpam-6348	73	30	exploitation	exploitation	NOUN
ejpam-6348	73	31	balances	balance	NOUN
ejpam-6348	73	32	and	and	CCONJ
ejpam-6348	73	33	demonstrating	demonstrate	VERB
ejpam-6348	73	34	superior	superior	ADJ
ejpam-6348	73	35	performance	performance	NOUN
ejpam-6348	73	36	in	in	ADP
ejpam-6348	73	37	complex	complex	ADJ
ejpam-6348	73	38	search	search	NOUN
ejpam-6348	73	39	landscapes	landscape	NOUN
ejpam-6348	73	40	[	[	X
ejpam-6348	73	41	12	12	NUM
ejpam-6348	73	42	]	]	PUNCT
ejpam-6348	73	43	.	.	PUNCT
ejpam-6348	74	1	more	more	ADV
ejpam-6348	74	2	recently	recently	ADV
ejpam-6348	74	3	,	,	PUNCT
ejpam-6348	74	4	hyperheuristic	hyperheuristic	NOUN
ejpam-6348	74	5	-	-	PUNCT
ejpam-6348	74	6	based	base	VERB
ejpam-6348	74	7	strategies	strategy	NOUN
ejpam-6348	74	8	have	have	AUX
ejpam-6348	74	9	emerged	emerge	VERB
ejpam-6348	74	10	as	as	ADP
ejpam-6348	74	11	an	an	DET
ejpam-6348	74	12	advanced	advanced	ADJ
ejpam-6348	74	13	alternative	alternative	NOUN
ejpam-6348	74	14	,	,	PUNCT
ejpam-6348	74	15	focusing	focus	VERB
ejpam-6348	74	16	on	on	ADP
ejpam-6348	74	17	dynamically	dynamically	ADV
ejpam-6348	74	18	selecting	select	VERB
ejpam-6348	74	19	and	and	CCONJ
ejpam-6348	74	20	combining	combine	VERB
ejpam-6348	74	21	low	low	ADJ
ejpam-6348	74	22	-	-	PUNCT
ejpam-6348	74	23	level	level	NOUN
ejpam-6348	74	24	heuristics	heuristic	NOUN
ejpam-6348	74	25	rather	rather	ADV
ejpam-6348	74	26	than	than	ADP
ejpam-6348	74	27	searching	search	VERB
ejpam-6348	74	28	directly	directly	ADV
ejpam-6348	74	29	within	within	ADP
ejpam-6348	74	30	the	the	DET
ejpam-6348	74	31	solution	solution	NOUN
ejpam-6348	74	32	space	space	NOUN
ejpam-6348	74	33	.	.	PUNCT
ejpam-6348	75	1	this	this	DET
ejpam-6348	75	2	paradigm	paradigm	NOUN
ejpam-6348	75	3	shift	shift	NOUN
ejpam-6348	75	4	,	,	PUNCT
ejpam-6348	75	5	underpinned	underpin	VERB
ejpam-6348	75	6	by	by	ADP
ejpam-6348	75	7	reinforcement	reinforcement	NOUN
ejpam-6348	75	8	learning	learning	NOUN
ejpam-6348	75	9	and	and	CCONJ
ejpam-6348	75	10	learning	learning	NOUN
ejpam-6348	75	11	-	-	PUNCT
ejpam-6348	75	12	based	base	VERB
ejpam-6348	75	13	selection	selection	NOUN
ejpam-6348	75	14	mechanisms	mechanism	NOUN
ejpam-6348	75	15	,	,	PUNCT
ejpam-6348	75	16	has	have	AUX
ejpam-6348	75	17	shown	show	VERB
ejpam-6348	75	18	promising	promising	ADJ
ejpam-6348	75	19	results	result	NOUN
ejpam-6348	75	20	in	in	ADP
ejpam-6348	75	21	enhancing	enhance	VERB
ejpam-6348	75	22	robustness	robustness	NOUN
ejpam-6348	75	23	,	,	PUNCT
ejpam-6348	75	24	scalability	scalability	NOUN
ejpam-6348	75	25	,	,	PUNCT
ejpam-6348	75	26	and	and	CCONJ
ejpam-6348	75	27	computational	computational	ADJ
ejpam-6348	75	28	efficiency	efficiency	NOUN
ejpam-6348	75	29	in	in	ADP
ejpam-6348	75	30	hyperparameter	hyperparameter	NOUN
ejpam-6348	75	31	optimization	optimization	NOUN
ejpam-6348	75	32	[	[	X
ejpam-6348	75	33	13	13	NUM
ejpam-6348	75	34	]	]	PUNCT
ejpam-6348	75	35	.	.	PUNCT
ejpam-6348	76	1	the	the	DET
ejpam-6348	76	2	increasing	increase	VERB
ejpam-6348	76	3	interest	interest	NOUN
ejpam-6348	76	4	in	in	ADP
ejpam-6348	76	5	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	76	6	reflects	reflect	VERB
ejpam-6348	76	7	a	a	DET
ejpam-6348	76	8	broader	broad	ADJ
ejpam-6348	76	9	trend	trend	NOUN
ejpam-6348	76	10	toward	toward	ADP
ejpam-6348	76	11	integrating	integrate	VERB
ejpam-6348	76	12	adaptive	adaptive	ADJ
ejpam-6348	76	13	decision	decision	NOUN
ejpam-6348	76	14	-	-	PUNCT
ejpam-6348	76	15	making	make	VERB
ejpam-6348	76	16	processes	process	NOUN
ejpam-6348	76	17	within	within	ADP
ejpam-6348	76	18	machine	machine	NOUN
ejpam-6348	76	19	learning	learn	VERB
ejpam-6348	76	20	pipelines	pipeline	NOUN
ejpam-6348	76	21	,	,	PUNCT
ejpam-6348	76	22	aiming	aim	VERB
ejpam-6348	76	23	to	to	ADP
ejpam-6348	76	24	automate	automate	ADJ
ejpam-6348	76	25	model	model	NOUN
ejpam-6348	76	26	configuration	configuration	NOUN
ejpam-6348	76	27	intelligently	intelligently	ADV
ejpam-6348	76	28	and	and	CCONJ
ejpam-6348	76	29	efficiently	efficiently	ADV
ejpam-6348	76	30	as	as	SCONJ
ejpam-6348	76	31	shown	show	VERB
ejpam-6348	76	32	shown	show	VERB
ejpam-6348	76	33	in	in	ADP
ejpam-6348	76	34	figure	figure	NOUN
ejpam-6348	76	35	1	1	NUM
ejpam-6348	76	36	2.1	2.1	NUM
ejpam-6348	76	37	.	.	PUNCT
ejpam-6348	77	1	traditional	traditional	ADJ
ejpam-6348	77	2	hyperparameter	hyperparameter	NOUN
ejpam-6348	77	3	tuning	tune	VERB
ejpam-6348	77	4	methods	method	NOUN
ejpam-6348	77	5	grid	grid	NOUN
ejpam-6348	77	6	search	search	NOUN
ejpam-6348	77	7	and	and	CCONJ
ejpam-6348	77	8	random	random	ADJ
ejpam-6348	77	9	search	search	NOUN
ejpam-6348	77	10	have	have	AUX
ejpam-6348	77	11	historically	historically	ADV
ejpam-6348	77	12	been	be	AUX
ejpam-6348	77	13	among	among	ADP
ejpam-6348	77	14	the	the	DET
ejpam-6348	77	15	most	most	ADV
ejpam-6348	77	16	widely	widely	ADV
ejpam-6348	77	17	adopted	adopt	VERB
ejpam-6348	77	18	strategies	strategy	NOUN
ejpam-6348	77	19	for	for	ADP
ejpam-6348	77	20	hyperparameter	hyperparameter	NOUN
ejpam-6348	77	21	tuning	tuning	NOUN
ejpam-6348	77	22	.	.	PUNCT
ejpam-6348	78	1	although	although	SCONJ
ejpam-6348	78	2	grid	grid	NOUN
ejpam-6348	78	3	search	search	NOUN
ejpam-6348	78	4	systematically	systematically	ADV
ejpam-6348	78	5	evaluates	evaluate	VERB
ejpam-6348	78	6	all	all	DET
ejpam-6348	78	7	possible	possible	ADJ
ejpam-6348	78	8	combinations	combination	NOUN
ejpam-6348	78	9	within	within	ADP
ejpam-6348	78	10	a	a	DET
ejpam-6348	78	11	predefined	predefine	VERB
ejpam-6348	78	12	set	set	NOUN
ejpam-6348	78	13	,	,	PUNCT
ejpam-6348	78	14	it	it	PRON
ejpam-6348	78	15	becomes	become	VERB
ejpam-6348	78	16	computationally	computationally	ADV
ejpam-6348	78	17	prohibitive	prohibitive	ADJ
ejpam-6348	78	18	as	as	ADP
ejpam-6348	78	19	the	the	DET
ejpam-6348	78	20	number	number	NOUN
ejpam-6348	78	21	of	of	ADP
ejpam-6348	78	22	parameters	parameter	NOUN
ejpam-6348	78	23	increases	increase	NOUN
ejpam-6348	78	24	.	.	PUNCT
ejpam-6348	79	1	meanwhile	meanwhile	ADV
ejpam-6348	79	2	,	,	PUNCT
ejpam-6348	79	3	random	random	ADJ
ejpam-6348	79	4	search	search	NOUN
ejpam-6348	79	5	explores	explore	NOUN
ejpam-6348	79	6	hyperparameter	hyperparameter	NOUN
ejpam-6348	79	7	configurations	configuration	NOUN
ejpam-6348	79	8	stochastically	stochastically	ADV
ejpam-6348	79	9	and	and	CCONJ
ejpam-6348	79	10	has	have	AUX
ejpam-6348	79	11	been	be	AUX
ejpam-6348	79	12	shown	show	VERB
ejpam-6348	79	13	to	to	PART
ejpam-6348	79	14	outperform	outperform	VERB
ejpam-6348	79	15	grid	grid	NOUN
ejpam-6348	79	16	search	search	NOUN
ejpam-6348	79	17	in	in	ADP
ejpam-6348	79	18	high	high	ADJ
ejpam-6348	79	19	-	-	PUNCT
ejpam-6348	79	20	dimensional	dimensional	ADJ
ejpam-6348	79	21	spaces	space	NOUN
ejpam-6348	79	22	by	by	ADP
ejpam-6348	79	23	enabling	enable	VERB
ejpam-6348	79	24	a	a	DET
ejpam-6348	79	25	broader	broad	ADJ
ejpam-6348	79	26	coverage	coverage	NOUN
ejpam-6348	79	27	of	of	ADP
ejpam-6348	79	28	potentially	potentially	ADV
ejpam-6348	79	29	good	good	ADJ
ejpam-6348	79	30	configurations	configuration	NOUN
ejpam-6348	79	31	[	[	X
ejpam-6348	79	32	1	1	NUM
ejpam-6348	79	33	,	,	PUNCT
ejpam-6348	79	34	14	14	NUM
ejpam-6348	79	35	]	]	PUNCT
ejpam-6348	79	36	.	.	PUNCT
ejpam-6348	80	1	however	however	ADV
ejpam-6348	80	2	,	,	PUNCT
ejpam-6348	80	3	both	both	DET
ejpam-6348	80	4	approaches	approach	NOUN
ejpam-6348	80	5	suffer	suffer	VERB
ejpam-6348	80	6	from	from	ADP
ejpam-6348	80	7	a	a	DET
ejpam-6348	80	8	lack	lack	NOUN
ejpam-6348	80	9	of	of	ADP
ejpam-6348	80	10	adaptiveness	adaptiveness	NOUN
ejpam-6348	80	11	and	and	CCONJ
ejpam-6348	80	12	can	can	AUX
ejpam-6348	80	13	be	be	AUX
ejpam-6348	80	14	inefficient	inefficient	ADJ
ejpam-6348	80	15	when	when	SCONJ
ejpam-6348	80	16	dealing	deal	VERB
ejpam-6348	80	17	with	with	ADP
ejpam-6348	80	18	non	non	ADJ
ejpam-6348	80	19	-	-	ADJ
ejpam-6348	80	20	uniform	uniform	ADJ
ejpam-6348	80	21	or	or	CCONJ
ejpam-6348	80	22	sparse	sparse	ADJ
ejpam-6348	80	23	hyperparameter	hyperparameter	NOUN
ejpam-6348	80	24	spaces	space	NOUN
ejpam-6348	80	25	[	[	X
ejpam-6348	80	26	2	2	NUM
ejpam-6348	80	27	,	,	PUNCT
ejpam-6348	80	28	15	15	NUM
ejpam-6348	80	29	]	]	PUNCT
ejpam-6348	80	30	.	.	PUNCT
ejpam-6348	81	1	to	to	PART
ejpam-6348	81	2	address	address	VERB
ejpam-6348	81	3	these	these	DET
ejpam-6348	81	4	limitations	limitation	NOUN
ejpam-6348	81	5	,	,	PUNCT
ejpam-6348	81	6	bayesian	bayesian	NOUN
ejpam-6348	81	7	optimization	optimization	NOUN
ejpam-6348	81	8	has	have	AUX
ejpam-6348	81	9	emerged	emerge	VERB
ejpam-6348	81	10	as	as	ADP
ejpam-6348	81	11	a	a	DET
ejpam-6348	81	12	more	more	ADV
ejpam-6348	81	13	sampleefficient	sampleefficient	ADJ
ejpam-6348	81	14	alternative	alternative	NOUN
ejpam-6348	81	15	,	,	PUNCT
ejpam-6348	81	16	modeling	model	VERB
ejpam-6348	81	17	the	the	DET
ejpam-6348	81	18	objective	objective	ADJ
ejpam-6348	81	19	function	function	NOUN
ejpam-6348	81	20	through	through	ADP
ejpam-6348	81	21	probabilistic	probabilistic	ADJ
ejpam-6348	81	22	surrogate	surrogate	ADJ
ejpam-6348	81	23	models	model	NOUN
ejpam-6348	81	24	such	such	ADJ
ejpam-6348	81	25	as	as	ADP
ejpam-6348	81	26	gaussian	gaussian	ADJ
ejpam-6348	81	27	processes	process	NOUN
ejpam-6348	81	28	and	and	CCONJ
ejpam-6348	81	29	selecting	select	VERB
ejpam-6348	81	30	the	the	DET
ejpam-6348	81	31	next	next	ADJ
ejpam-6348	81	32	evaluation	evaluation	NOUN
ejpam-6348	81	33	points	point	NOUN
ejpam-6348	81	34	based	base	VERB
ejpam-6348	81	35	on	on	ADP
ejpam-6348	81	36	acquisition	acquisition	NOUN
ejpam-6348	81	37	functions	function	NOUN
ejpam-6348	81	38	[	[	X
ejpam-6348	81	39	3	3	NUM
ejpam-6348	81	40	,	,	PUNCT
ejpam-6348	81	41	16	16	NUM
ejpam-6348	81	42	]	]	PUNCT
ejpam-6348	81	43	.	.	PUNCT
ejpam-6348	82	1	bayesian	bayesian	NOUN
ejpam-6348	82	2	optimization	optimization	NOUN
ejpam-6348	82	3	techniques	technique	NOUN
ejpam-6348	82	4	effectively	effectively	ADV
ejpam-6348	82	5	balance	balance	VERB
ejpam-6348	82	6	exploration	exploration	NOUN
ejpam-6348	82	7	and	and	CCONJ
ejpam-6348	82	8	exploitation	exploitation	NOUN
ejpam-6348	82	9	,	,	PUNCT
ejpam-6348	82	10	but	but	CCONJ
ejpam-6348	82	11	their	their	PRON
ejpam-6348	82	12	scalability	scalability	NOUN
ejpam-6348	82	13	to	to	ADP
ejpam-6348	82	14	very	very	ADV
ejpam-6348	82	15	high	high	ADV
ejpam-6348	82	16	-	-	PUNCT
ejpam-6348	82	17	dimensional	dimensional	ADJ
ejpam-6348	82	18	or	or	CCONJ
ejpam-6348	82	19	highly	highly	ADV
ejpam-6348	82	20	noisy	noisy	ADJ
ejpam-6348	82	21	objective	objective	ADJ
ejpam-6348	82	22	functions	function	NOUN
ejpam-6348	82	23	remains	remain	VERB
ejpam-6348	82	24	an	an	DET
ejpam-6348	82	25	open	open	ADJ
ejpam-6348	82	26	challenge	challenge	NOUN
ejpam-6348	82	27	[	[	X
ejpam-6348	82	28	4	4	NUM
ejpam-6348	82	29	,	,	PUNCT
ejpam-6348	82	30	17	17	NUM
ejpam-6348	82	31	]	]	PUNCT
ejpam-6348	82	32	.	.	PUNCT
ejpam-6348	83	1	moreover	moreover	ADV
ejpam-6348	83	2	,	,	PUNCT
ejpam-6348	83	3	recent	recent	ADJ
ejpam-6348	83	4	studies	study	NOUN
ejpam-6348	83	5	have	have	AUX
ejpam-6348	83	6	highlighted	highlight	VERB
ejpam-6348	83	7	that	that	SCONJ
ejpam-6348	83	8	in	in	ADP
ejpam-6348	83	9	certain	certain	ADJ
ejpam-6348	83	10	complex	complex	ADJ
ejpam-6348	83	11	neural	neural	ADJ
ejpam-6348	83	12	architecture	architecture	NOUN
ejpam-6348	83	13	search	search	NOUN
ejpam-6348	83	14	tasks	task	NOUN
ejpam-6348	83	15	,	,	PUNCT
ejpam-6348	83	16	the	the	DET
ejpam-6348	83	17	performance	performance	NOUN
ejpam-6348	83	18	gains	gain	NOUN
ejpam-6348	83	19	of	of	ADP
ejpam-6348	83	20	bayesian	bayesian	NOUN
ejpam-6348	83	21	optimization	optimization	NOUN
ejpam-6348	83	22	diminish	diminish	VERB
ejpam-6348	83	23	compared	compare	VERB
ejpam-6348	83	24	to	to	ADP
ejpam-6348	83	25	more	more	ADV
ejpam-6348	83	26	flexible	flexible	ADJ
ejpam-6348	83	27	,	,	PUNCT
ejpam-6348	83	28	learning	learning	NOUN
ejpam-6348	83	29	-	-	PUNCT
ejpam-6348	83	30	based	base	VERB
ejpam-6348	83	31	strategies	strategy	NOUN
ejpam-6348	83	32	[	[	X
ejpam-6348	83	33	18	18	NUM
ejpam-6348	83	34	]	]	PUNCT
ejpam-6348	83	35	.	.	PUNCT
ejpam-6348	84	1	recent	recent	ADJ
ejpam-6348	84	2	mathematical	mathematical	ADJ
ejpam-6348	84	3	advancements	advancement	NOUN
ejpam-6348	84	4	in	in	ADP
ejpam-6348	84	5	solving	solve	VERB
ejpam-6348	84	6	complex	complex	ADJ
ejpam-6348	84	7	optimization	optimization	NOUN
ejpam-6348	84	8	and	and	CCONJ
ejpam-6348	84	9	control	control	NOUN
ejpam-6348	84	10	problems	problem	NOUN
ejpam-6348	84	11	have	have	VERB
ejpam-6348	84	12	leveraged	leverage	VERB
ejpam-6348	84	13	fractional	fractional	ADJ
ejpam-6348	84	14	calculus	calculus	NOUN
ejpam-6348	84	15	to	to	AUX
ejpam-6348	84	16	model	model	NOUN
ejpam-6348	84	17	systems	system	NOUN
ejpam-6348	84	18	with	with	ADP
ejpam-6348	84	19	memory	memory	NOUN
ejpam-6348	84	20	and	and	CCONJ
ejpam-6348	84	21	hereditary	hereditary	ADJ
ejpam-6348	84	22	properties	property	NOUN
ejpam-6348	84	23	.	.	PUNCT
ejpam-6348	85	1	damak	damak	ADV
ejpam-6348	85	2	et	et	PROPN
ejpam-6348	85	3	al	al	PROPN
ejpam-6348	85	4	.	.	PUNCT
ejpam-6348	86	1	[	[	X
ejpam-6348	86	2	19	19	NUM
ejpam-6348	86	3	]	]	PUNCT
ejpam-6348	86	4	presented	present	VERB
ejpam-6348	86	5	numerical	numerical	ADJ
ejpam-6348	86	6	methods	method	NOUN
ejpam-6348	86	7	for	for	ADP
ejpam-6348	86	8	fractional	fractional	ADJ
ejpam-6348	86	9	optimal	optimal	ADJ
ejpam-6348	86	10	control	control	NOUN
ejpam-6348	86	11	k.	k.	PROPN
ejpam-6348	86	12	danach	danach	PROPN
ejpam-6348	86	13	,	,	PUNCT
ejpam-6348	86	14	w.	w.	PROPN
ejpam-6348	86	15	h.	h.	PROPN
ejpam-6348	86	16	f.	f.	PROPN
ejpam-6348	86	17	aly	aly	PROPN
ejpam-6348	86	18	/	/	SYM
ejpam-6348	86	19	eur	eur	PROPN
ejpam-6348	86	20	.	.	PUNCT
ejpam-6348	87	1	j.	j.	PROPN
ejpam-6348	87	2	pure	pure	PROPN
ejpam-6348	87	3	appl	appl	PROPN
ejpam-6348	87	4	.	.	PROPN
ejpam-6348	87	5	math	math	PROPN
ejpam-6348	87	6	,	,	PUNCT
ejpam-6348	87	7	18	18	NUM
ejpam-6348	87	8	(	(	PUNCT
ejpam-6348	87	9	3	3	NUM
ejpam-6348	87	10	)	)	PUNCT
ejpam-6348	87	11	(	(	PUNCT
ejpam-6348	87	12	2025	2025	NUM
ejpam-6348	87	13	)	)	PUNCT
ejpam-6348	87	14	,	,	PUNCT
ejpam-6348	87	15	6348	6348	NUM
ejpam-6348	87	16	6	6	NUM
ejpam-6348	87	17	of	of	ADP
ejpam-6348	87	18	23	23	NUM
ejpam-6348	87	19	figure	figure	NOUN
ejpam-6348	87	20	1	1	NUM
ejpam-6348	87	21	:	:	PUNCT
ejpam-6348	87	22	hyperparameter	hyperparameter	NOUN
ejpam-6348	87	23	tuning	tuning	NOUN
ejpam-6348	87	24	strategies	strategy	NOUN
ejpam-6348	87	25	and	and	CCONJ
ejpam-6348	87	26	estimation	estimation	NOUN
ejpam-6348	87	27	,	,	PUNCT
ejpam-6348	87	28	which	which	PRON
ejpam-6348	87	29	offer	offer	VERB
ejpam-6348	87	30	promising	promise	VERB
ejpam-6348	87	31	analytical	analytical	ADJ
ejpam-6348	87	32	foundations	foundation	NOUN
ejpam-6348	87	33	for	for	ADP
ejpam-6348	87	34	hyperparameter	hyperparameter	NOUN
ejpam-6348	87	35	tuning	tuning	NOUN
ejpam-6348	87	36	strategies	strategy	NOUN
ejpam-6348	87	37	that	that	PRON
ejpam-6348	87	38	require	require	VERB
ejpam-6348	87	39	long	long	ADJ
ejpam-6348	87	40	-	-	PUNCT
ejpam-6348	87	41	term	term	NOUN
ejpam-6348	87	42	performance	performance	NOUN
ejpam-6348	87	43	evaluation	evaluation	NOUN
ejpam-6348	87	44	and	and	CCONJ
ejpam-6348	87	45	state	state	NOUN
ejpam-6348	87	46	-	-	PUNCT
ejpam-6348	87	47	dependent	dependent	ADJ
ejpam-6348	87	48	decisionmaking	decisionmaking	NOUN
ejpam-6348	87	49	.	.	PUNCT
ejpam-6348	88	1	in	in	ADP
ejpam-6348	88	2	a	a	DET
ejpam-6348	88	3	related	related	ADJ
ejpam-6348	88	4	study	study	NOUN
ejpam-6348	88	5	,	,	PUNCT
ejpam-6348	88	6	ahmad	ahmad	PROPN
ejpam-6348	89	1	[	[	X
ejpam-6348	89	2	20	20	NUM
ejpam-6348	89	3	]	]	PUNCT
ejpam-6348	89	4	proposed	propose	VERB
ejpam-6348	89	5	a	a	DET
ejpam-6348	89	6	variational	variational	ADJ
ejpam-6348	89	7	iteration	iteration	NOUN
ejpam-6348	89	8	method	method	NOUN
ejpam-6348	89	9	for	for	ADP
ejpam-6348	89	10	solving	solve	VERB
ejpam-6348	89	11	fractional	fractional	ADJ
ejpam-6348	89	12	integro	integro	ADJ
ejpam-6348	89	13	-	-	PUNCT
ejpam-6348	89	14	differential	differential	NOUN
ejpam-6348	89	15	equations	equation	NOUN
ejpam-6348	89	16	using	use	VERB
ejpam-6348	89	17	conformable	conformable	ADJ
ejpam-6348	89	18	differintegrals	differintegral	NOUN
ejpam-6348	89	19	,	,	PUNCT
ejpam-6348	89	20	demonstrating	demonstrate	VERB
ejpam-6348	89	21	efficient	efficient	ADJ
ejpam-6348	89	22	convergence	convergence	NOUN
ejpam-6348	89	23	in	in	ADP
ejpam-6348	89	24	systems	system	NOUN
ejpam-6348	89	25	characterized	characterize	VERB
ejpam-6348	89	26	by	by	ADP
ejpam-6348	89	27	fractional	fractional	ADJ
ejpam-6348	89	28	dynamics	dynamic	NOUN
ejpam-6348	89	29	.	.	PUNCT
ejpam-6348	90	1	these	these	DET
ejpam-6348	90	2	works	work	NOUN
ejpam-6348	90	3	highlight	highlight	VERB
ejpam-6348	90	4	the	the	DET
ejpam-6348	90	5	growing	grow	VERB
ejpam-6348	90	6	relevance	relevance	NOUN
ejpam-6348	90	7	of	of	ADP
ejpam-6348	90	8	fractional	fractional	ADJ
ejpam-6348	90	9	-	-	PUNCT
ejpam-6348	90	10	order	order	NOUN
ejpam-6348	90	11	methods	method	NOUN
ejpam-6348	90	12	and	and	CCONJ
ejpam-6348	90	13	iterative	iterative	NOUN
ejpam-6348	90	14	refinement	refinement	NOUN
ejpam-6348	90	15	strategies	strategy	NOUN
ejpam-6348	90	16	,	,	PUNCT
ejpam-6348	90	17	which	which	PRON
ejpam-6348	90	18	conceptually	conceptually	ADV
ejpam-6348	90	19	support	support	VERB
ejpam-6348	90	20	our	our	PRON
ejpam-6348	90	21	framework	framework	NOUN
ejpam-6348	90	22	’s	’s	PART
ejpam-6348	90	23	adoption	adoption	NOUN
ejpam-6348	90	24	of	of	ADP
ejpam-6348	90	25	adaptive	adaptive	ADJ
ejpam-6348	90	26	,	,	PUNCT
ejpam-6348	90	27	history	history	NOUN
ejpam-6348	90	28	-	-	PUNCT
ejpam-6348	90	29	sensitive	sensitive	ADJ
ejpam-6348	90	30	control	control	NOUN
ejpam-6348	90	31	mechanisms	mechanism	NOUN
ejpam-6348	90	32	—	—	PUNCT
ejpam-6348	90	33	specifically	specifically	ADV
ejpam-6348	90	34	,	,	PUNCT
ejpam-6348	90	35	the	the	DET
ejpam-6348	90	36	q	q	NOUN
ejpam-6348	90	37	-	-	PUNCT
ejpam-6348	90	38	learning	learning	NOUN
ejpam-6348	90	39	-	-	PUNCT
ejpam-6348	90	40	based	base	VERB
ejpam-6348	90	41	selection	selection	NOUN
ejpam-6348	90	42	and	and	CCONJ
ejpam-6348	90	43	simulated	simulated	ADJ
ejpam-6348	90	44	annealing	annealing	NOUN
ejpam-6348	90	45	-	-	PUNCT
ejpam-6348	90	46	guided	guide	VERB
ejpam-6348	90	47	acceptance	acceptance	NOUN
ejpam-6348	90	48	within	within	ADP
ejpam-6348	90	49	the	the	DET
ejpam-6348	90	50	proposed	propose	VERB
ejpam-6348	90	51	ahpqa	ahpqa	ADJ
ejpam-6348	90	52	architecture	architecture	NOUN
ejpam-6348	90	53	.	.	PUNCT
ejpam-6348	91	1	overall	overall	ADJ
ejpam-6348	91	2	,	,	PUNCT
ejpam-6348	91	3	while	while	SCONJ
ejpam-6348	91	4	traditional	traditional	ADJ
ejpam-6348	91	5	hyperparameter	hyperparameter	NOUN
ejpam-6348	91	6	optimization	optimization	NOUN
ejpam-6348	91	7	methods	method	NOUN
ejpam-6348	91	8	laid	lay	VERB
ejpam-6348	91	9	the	the	DET
ejpam-6348	91	10	foundation	foundation	NOUN
ejpam-6348	91	11	k.	k.	PROPN
ejpam-6348	91	12	danach	danach	PROPN
ejpam-6348	91	13	,	,	PUNCT
ejpam-6348	91	14	w.	w.	PROPN
ejpam-6348	91	15	h.	h.	PROPN
ejpam-6348	91	16	f.	f.	PROPN
ejpam-6348	91	17	aly	aly	PROPN
ejpam-6348	91	18	/	/	SYM
ejpam-6348	91	19	eur	eur	PROPN
ejpam-6348	91	20	.	.	PUNCT
ejpam-6348	92	1	j.	j.	PROPN
ejpam-6348	92	2	pure	pure	PROPN
ejpam-6348	92	3	appl	appl	PROPN
ejpam-6348	92	4	.	.	PROPN
ejpam-6348	92	5	math	math	PROPN
ejpam-6348	92	6	,	,	PUNCT
ejpam-6348	92	7	18	18	NUM
ejpam-6348	92	8	(	(	PUNCT
ejpam-6348	92	9	3	3	NUM
ejpam-6348	92	10	)	)	PUNCT
ejpam-6348	92	11	(	(	PUNCT
ejpam-6348	92	12	2025	2025	NUM
ejpam-6348	92	13	)	)	PUNCT
ejpam-6348	92	14	,	,	PUNCT
ejpam-6348	92	15	6348	6348	NUM
ejpam-6348	92	16	7	7	NUM
ejpam-6348	92	17	of	of	ADP
ejpam-6348	92	18	23	23	NUM
ejpam-6348	92	19	for	for	ADP
ejpam-6348	92	20	automated	automate	VERB
ejpam-6348	92	21	machine	machine	NOUN
ejpam-6348	92	22	learning	learning	NOUN
ejpam-6348	92	23	,	,	PUNCT
ejpam-6348	92	24	the	the	DET
ejpam-6348	92	25	increasing	increase	VERB
ejpam-6348	92	26	complexity	complexity	NOUN
ejpam-6348	92	27	of	of	ADP
ejpam-6348	92	28	modern	modern	ADJ
ejpam-6348	92	29	models	model	NOUN
ejpam-6348	92	30	necessitates	necessitate	VERB
ejpam-6348	92	31	more	more	ADV
ejpam-6348	92	32	adaptive	adaptive	ADJ
ejpam-6348	92	33	,	,	PUNCT
ejpam-6348	92	34	robust	robust	ADJ
ejpam-6348	92	35	,	,	PUNCT
ejpam-6348	92	36	and	and	CCONJ
ejpam-6348	92	37	scalable	scalable	ADJ
ejpam-6348	92	38	alternatives	alternative	NOUN
ejpam-6348	92	39	,	,	PUNCT
ejpam-6348	92	40	motivating	motivate	VERB
ejpam-6348	92	41	the	the	DET
ejpam-6348	92	42	exploration	exploration	NOUN
ejpam-6348	92	43	of	of	ADP
ejpam-6348	92	44	metaheuristic	metaheuristic	ADJ
ejpam-6348	92	45	and	and	CCONJ
ejpam-6348	92	46	hyperheuristic	hyperheuristic	ADV
ejpam-6348	92	47	-	-	PUNCT
ejpam-6348	92	48	based	base	VERB
ejpam-6348	92	49	approaches	approach	NOUN
ejpam-6348	92	50	.	.	PUNCT
ejpam-6348	93	1	2.2	2.2	NUM
ejpam-6348	93	2	.	.	PUNCT
ejpam-6348	93	3	metaheuristic	metaheuristic	ADJ
ejpam-6348	93	4	-	-	PUNCT
ejpam-6348	93	5	based	base	VERB
ejpam-6348	93	6	hyperparameter	hyperparameter	NOUN
ejpam-6348	93	7	optimization	optimization	NOUN
ejpam-6348	93	8	to	to	PART
ejpam-6348	93	9	address	address	VERB
ejpam-6348	93	10	the	the	DET
ejpam-6348	93	11	limitations	limitation	NOUN
ejpam-6348	93	12	of	of	ADP
ejpam-6348	93	13	traditional	traditional	ADJ
ejpam-6348	93	14	methods	method	NOUN
ejpam-6348	93	15	,	,	PUNCT
ejpam-6348	93	16	metaheuristic	metaheuristic	ADJ
ejpam-6348	93	17	algorithms	algorithm	NOUN
ejpam-6348	93	18	such	such	ADJ
ejpam-6348	93	19	as	as	ADP
ejpam-6348	93	20	genetic	genetic	ADJ
ejpam-6348	93	21	algorithms	algorithm	NOUN
ejpam-6348	93	22	(	(	PUNCT
ejpam-6348	93	23	ga	ga	NOUN
ejpam-6348	93	24	)	)	PUNCT
ejpam-6348	93	25	,	,	PUNCT
ejpam-6348	93	26	particle	particle	NOUN
ejpam-6348	93	27	swarm	swarm	NOUN
ejpam-6348	93	28	optimization	optimization	NOUN
ejpam-6348	93	29	(	(	PUNCT
ejpam-6348	93	30	pso	pso	NOUN
ejpam-6348	93	31	)	)	PUNCT
ejpam-6348	93	32	,	,	PUNCT
ejpam-6348	93	33	and	and	CCONJ
ejpam-6348	93	34	simulated	simulate	VERB
ejpam-6348	93	35	annealing	annealing	NOUN
ejpam-6348	93	36	(	(	PUNCT
ejpam-6348	93	37	sa	sa	NOUN
ejpam-6348	93	38	)	)	PUNCT
ejpam-6348	93	39	have	have	AUX
ejpam-6348	93	40	been	be	AUX
ejpam-6348	93	41	extensively	extensively	ADV
ejpam-6348	93	42	applied	apply	VERB
ejpam-6348	93	43	to	to	ADP
ejpam-6348	93	44	hyperparameter	hyperparameter	NOUN
ejpam-6348	93	45	tuning	tune	VERB
ejpam-6348	93	46	[	[	X
ejpam-6348	93	47	8	8	NUM
ejpam-6348	93	48	]	]	PUNCT
ejpam-6348	93	49	.	.	PUNCT
ejpam-6348	94	1	these	these	DET
ejpam-6348	94	2	population	population	NOUN
ejpam-6348	94	3	-	-	PUNCT
ejpam-6348	94	4	based	base	VERB
ejpam-6348	94	5	methods	method	NOUN
ejpam-6348	94	6	offer	offer	VERB
ejpam-6348	94	7	significant	significant	ADJ
ejpam-6348	94	8	advantages	advantage	NOUN
ejpam-6348	94	9	in	in	ADP
ejpam-6348	94	10	exploring	explore	VERB
ejpam-6348	94	11	large	large	ADJ
ejpam-6348	94	12	,	,	PUNCT
ejpam-6348	94	13	complex	complex	ADJ
ejpam-6348	94	14	,	,	PUNCT
ejpam-6348	94	15	and	and	CCONJ
ejpam-6348	94	16	non	non	ADJ
ejpam-6348	94	17	-	-	ADJ
ejpam-6348	94	18	convex	convex	ADJ
ejpam-6348	94	19	search	search	NOUN
ejpam-6348	94	20	spaces	space	NOUN
ejpam-6348	94	21	efficiently	efficiently	ADV
ejpam-6348	94	22	.	.	PUNCT
ejpam-6348	95	1	evolutionary	evolutionary	ADJ
ejpam-6348	95	2	algorithms	algorithm	NOUN
ejpam-6348	95	3	,	,	PUNCT
ejpam-6348	95	4	including	include	VERB
ejpam-6348	95	5	differential	differential	NOUN
ejpam-6348	95	6	evolution	evolution	NOUN
ejpam-6348	95	7	(	(	PUNCT
ejpam-6348	95	8	de	de	ADJ
ejpam-6348	95	9	)	)	PUNCT
ejpam-6348	95	10	and	and	CCONJ
ejpam-6348	95	11	genetic	genetic	ADJ
ejpam-6348	95	12	programming	programming	NOUN
ejpam-6348	95	13	(	(	PUNCT
ejpam-6348	95	14	gp	gp	NOUN
ejpam-6348	95	15	)	)	PUNCT
ejpam-6348	95	16	,	,	PUNCT
ejpam-6348	95	17	have	have	AUX
ejpam-6348	95	18	demonstrated	demonstrate	VERB
ejpam-6348	95	19	strong	strong	ADJ
ejpam-6348	95	20	performance	performance	NOUN
ejpam-6348	95	21	in	in	ADP
ejpam-6348	95	22	optimizing	optimize	VERB
ejpam-6348	95	23	deep	deep	ADJ
ejpam-6348	95	24	learning	learning	NOUN
ejpam-6348	95	25	architectures	architecture	NOUN
ejpam-6348	95	26	,	,	PUNCT
ejpam-6348	95	27	particularly	particularly	ADV
ejpam-6348	95	28	in	in	ADP
ejpam-6348	95	29	neural	neural	ADJ
ejpam-6348	95	30	network	network	NOUN
ejpam-6348	95	31	topology	topology	NOUN
ejpam-6348	95	32	search	search	NOUN
ejpam-6348	95	33	and	and	CCONJ
ejpam-6348	95	34	hyperparameter	hyperparameter	NOUN
ejpam-6348	95	35	adjustment	adjustment	NOUN
ejpam-6348	95	36	[	[	X
ejpam-6348	95	37	21	21	NUM
ejpam-6348	95	38	,	,	PUNCT
ejpam-6348	95	39	22	22	NUM
ejpam-6348	95	40	]	]	PUNCT
ejpam-6348	95	41	.	.	PUNCT
ejpam-6348	96	1	pso	pso	NOUN
ejpam-6348	96	2	-	-	PUNCT
ejpam-6348	96	3	based	base	VERB
ejpam-6348	96	4	tuning	tuning	NOUN
ejpam-6348	96	5	,	,	PUNCT
ejpam-6348	96	6	inspired	inspire	VERB
ejpam-6348	96	7	by	by	ADP
ejpam-6348	96	8	swarm	swarm	NOUN
ejpam-6348	96	9	intelligence	intelligence	NOUN
ejpam-6348	96	10	,	,	PUNCT
ejpam-6348	96	11	has	have	AUX
ejpam-6348	96	12	been	be	AUX
ejpam-6348	96	13	particularly	particularly	ADV
ejpam-6348	96	14	effective	effective	ADJ
ejpam-6348	96	15	for	for	ADP
ejpam-6348	96	16	support	support	NOUN
ejpam-6348	96	17	vector	vector	NOUN
ejpam-6348	96	18	machines	machine	NOUN
ejpam-6348	96	19	(	(	PUNCT
ejpam-6348	96	20	svms	svms	NOUN
ejpam-6348	96	21	)	)	PUNCT
ejpam-6348	96	22	and	and	CCONJ
ejpam-6348	96	23	deep	deep	ADJ
ejpam-6348	96	24	neural	neural	ADJ
ejpam-6348	96	25	networks	network	NOUN
ejpam-6348	96	26	,	,	PUNCT
ejpam-6348	96	27	offering	offer	VERB
ejpam-6348	96	28	fast	fast	ADJ
ejpam-6348	96	29	convergence	convergence	NOUN
ejpam-6348	96	30	in	in	ADP
ejpam-6348	96	31	high	high	ADJ
ejpam-6348	96	32	-	-	PUNCT
ejpam-6348	96	33	dimensional	dimensional	ADJ
ejpam-6348	96	34	optimization	optimization	NOUN
ejpam-6348	96	35	problems	problem	NOUN
ejpam-6348	96	36	[	[	X
ejpam-6348	96	37	6	6	NUM
ejpam-6348	96	38	,	,	PUNCT
ejpam-6348	96	39	23	23	NUM
ejpam-6348	96	40	]	]	PUNCT
ejpam-6348	96	41	.	.	PUNCT
ejpam-6348	97	1	however	however	ADV
ejpam-6348	97	2	,	,	PUNCT
ejpam-6348	97	3	despite	despite	SCONJ
ejpam-6348	97	4	their	their	PRON
ejpam-6348	97	5	flexibility	flexibility	NOUN
ejpam-6348	97	6	,	,	PUNCT
ejpam-6348	97	7	metaheuristic	metaheuristic	ADJ
ejpam-6348	97	8	methods	method	NOUN
ejpam-6348	97	9	often	often	ADV
ejpam-6348	97	10	require	require	VERB
ejpam-6348	97	11	careful	careful	ADJ
ejpam-6348	97	12	setting	setting	NOUN
ejpam-6348	97	13	of	of	ADP
ejpam-6348	97	14	their	their	PRON
ejpam-6348	97	15	internal	internal	ADJ
ejpam-6348	97	16	control	control	NOUN
ejpam-6348	97	17	parameters	parameter	NOUN
ejpam-6348	97	18	—	—	PUNCT
ejpam-6348	97	19	such	such	ADJ
ejpam-6348	97	20	as	as	ADP
ejpam-6348	97	21	mutation	mutation	NOUN
ejpam-6348	97	22	rates	rate	NOUN
ejpam-6348	97	23	,	,	PUNCT
ejpam-6348	97	24	crossover	crossover	ADP
ejpam-6348	97	25	probabilities	probability	NOUN
ejpam-6348	97	26	,	,	PUNCT
ejpam-6348	97	27	and	and	CCONJ
ejpam-6348	97	28	inertia	inertia	NOUN
ejpam-6348	97	29	weights	weight	NOUN
ejpam-6348	97	30	—	—	PUNCT
ejpam-6348	97	31	and	and	CCONJ
ejpam-6348	97	32	can	can	AUX
ejpam-6348	97	33	still	still	ADV
ejpam-6348	97	34	suffer	suffer	VERB
ejpam-6348	97	35	from	from	ADP
ejpam-6348	97	36	issues	issue	NOUN
ejpam-6348	97	37	like	like	ADP
ejpam-6348	97	38	premature	premature	ADJ
ejpam-6348	97	39	convergence	convergence	NOUN
ejpam-6348	97	40	,	,	PUNCT
ejpam-6348	97	41	local	local	ADJ
ejpam-6348	97	42	optima	optima	PROPN
ejpam-6348	97	43	entrapment	entrapment	NOUN
ejpam-6348	97	44	,	,	PUNCT
ejpam-6348	97	45	and	and	CCONJ
ejpam-6348	97	46	scalability	scalability	NOUN
ejpam-6348	97	47	challenges	challenge	NOUN
ejpam-6348	97	48	in	in	ADP
ejpam-6348	97	49	very	very	ADV
ejpam-6348	97	50	high	high	ADJ
ejpam-6348	97	51	-	-	PUNCT
ejpam-6348	97	52	dimensional	dimensional	ADJ
ejpam-6348	97	53	spaces	space	NOUN
ejpam-6348	97	54	[	[	X
ejpam-6348	97	55	7	7	NUM
ejpam-6348	97	56	,	,	PUNCT
ejpam-6348	97	57	24	24	NUM
ejpam-6348	97	58	]	]	PUNCT
ejpam-6348	97	59	.	.	PUNCT
ejpam-6348	98	1	recent	recent	ADJ
ejpam-6348	98	2	studies	study	NOUN
ejpam-6348	98	3	have	have	AUX
ejpam-6348	98	4	attempted	attempt	VERB
ejpam-6348	98	5	to	to	PART
ejpam-6348	98	6	mitigate	mitigate	VERB
ejpam-6348	98	7	these	these	DET
ejpam-6348	98	8	drawbacks	drawback	NOUN
ejpam-6348	98	9	by	by	ADP
ejpam-6348	98	10	integrating	integrate	VERB
ejpam-6348	98	11	adaptive	adaptive	ADJ
ejpam-6348	98	12	parameter	parameter	NOUN
ejpam-6348	98	13	control	control	NOUN
ejpam-6348	98	14	and	and	CCONJ
ejpam-6348	98	15	hybrid	hybrid	ADJ
ejpam-6348	98	16	metaheuristic	metaheuristic	ADJ
ejpam-6348	98	17	frameworks	framework	NOUN
ejpam-6348	98	18	,	,	PUNCT
ejpam-6348	98	19	although	although	SCONJ
ejpam-6348	98	20	achieving	achieve	VERB
ejpam-6348	98	21	a	a	DET
ejpam-6348	98	22	balance	balance	NOUN
ejpam-6348	98	23	between	between	ADP
ejpam-6348	98	24	exploration	exploration	NOUN
ejpam-6348	98	25	and	and	CCONJ
ejpam-6348	98	26	exploitation	exploitation	NOUN
ejpam-6348	98	27	remains	remain	VERB
ejpam-6348	98	28	an	an	DET
ejpam-6348	98	29	ongoing	ongoing	ADJ
ejpam-6348	98	30	research	research	NOUN
ejpam-6348	98	31	challenge	challenge	NOUN
ejpam-6348	99	1	[	[	X
ejpam-6348	99	2	25	25	NUM
ejpam-6348	99	3	]	]	PUNCT
ejpam-6348	99	4	as	as	SCONJ
ejpam-6348	99	5	shown	show	VERB
ejpam-6348	99	6	in	in	ADP
ejpam-6348	99	7	figure	figure	NOUN
ejpam-6348	99	8	2	2	NUM
ejpam-6348	99	9	.	.	PUNCT
ejpam-6348	99	10	figure	figure	NOUN
ejpam-6348	99	11	2	2	NUM
ejpam-6348	99	12	:	:	PUNCT
ejpam-6348	99	13	hyperparameter	hyperparameter	NOUN
ejpam-6348	99	14	optimization	optimization	NOUN
ejpam-6348	99	15	strategies	strategy	NOUN
ejpam-6348	99	16	k.	k.	PROPN
ejpam-6348	99	17	danach	danach	PROPN
ejpam-6348	99	18	,	,	PUNCT
ejpam-6348	99	19	w.	w.	PROPN
ejpam-6348	99	20	h.	h.	PROPN
ejpam-6348	99	21	f.	f.	PROPN
ejpam-6348	99	22	aly	aly	PROPN
ejpam-6348	99	23	/	/	SYM
ejpam-6348	99	24	eur	eur	PROPN
ejpam-6348	99	25	.	.	PUNCT
ejpam-6348	100	1	j.	j.	PROPN
ejpam-6348	100	2	pure	pure	PROPN
ejpam-6348	100	3	appl	appl	PROPN
ejpam-6348	100	4	.	.	PROPN
ejpam-6348	100	5	math	math	PROPN
ejpam-6348	100	6	,	,	PUNCT
ejpam-6348	100	7	18	18	NUM
ejpam-6348	100	8	(	(	PUNCT
ejpam-6348	100	9	3	3	NUM
ejpam-6348	100	10	)	)	PUNCT
ejpam-6348	100	11	(	(	PUNCT
ejpam-6348	100	12	2025	2025	NUM
ejpam-6348	100	13	)	)	PUNCT
ejpam-6348	100	14	,	,	PUNCT
ejpam-6348	100	15	6348	6348	NUM
ejpam-6348	100	16	8	8	NUM
ejpam-6348	100	17	of	of	ADP
ejpam-6348	100	18	23	23	NUM
ejpam-6348	100	19	2.3	2.3	NUM
ejpam-6348	100	20	.	.	PUNCT
ejpam-6348	101	1	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	101	2	approaches	approach	NOUN
ejpam-6348	101	3	in	in	ADP
ejpam-6348	101	4	optimization	optimization	NOUN
ejpam-6348	101	5	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	101	6	have	have	AUX
ejpam-6348	101	7	emerged	emerge	VERB
ejpam-6348	101	8	as	as	ADP
ejpam-6348	101	9	a	a	DET
ejpam-6348	101	10	higher	high	ADJ
ejpam-6348	101	11	-	-	PUNCT
ejpam-6348	101	12	level	level	NOUN
ejpam-6348	101	13	strategy	strategy	NOUN
ejpam-6348	101	14	in	in	ADP
ejpam-6348	101	15	optimization	optimization	NOUN
ejpam-6348	101	16	,	,	PUNCT
ejpam-6348	101	17	aiming	aim	VERB
ejpam-6348	101	18	to	to	PART
ejpam-6348	101	19	select	select	VERB
ejpam-6348	101	20	or	or	CCONJ
ejpam-6348	101	21	generate	generate	VERB
ejpam-6348	101	22	heuristics	heuristic	NOUN
ejpam-6348	101	23	dynamically	dynamically	ADV
ejpam-6348	101	24	rather	rather	ADV
ejpam-6348	101	25	than	than	ADP
ejpam-6348	101	26	operating	operate	VERB
ejpam-6348	101	27	directly	directly	ADV
ejpam-6348	101	28	on	on	ADP
ejpam-6348	101	29	solutions	solution	NOUN
ejpam-6348	101	30	[	[	X
ejpam-6348	101	31	9	9	NUM
ejpam-6348	101	32	,	,	PUNCT
ejpam-6348	101	33	26	26	NUM
ejpam-6348	101	34	]	]	PUNCT
ejpam-6348	101	35	.	.	PUNCT
ejpam-6348	102	1	originally	originally	ADV
ejpam-6348	102	2	introduced	introduce	VERB
ejpam-6348	102	3	in	in	ADP
ejpam-6348	102	4	the	the	DET
ejpam-6348	102	5	context	context	NOUN
ejpam-6348	102	6	of	of	ADP
ejpam-6348	102	7	combinatorial	combinatorial	ADJ
ejpam-6348	102	8	optimization	optimization	NOUN
ejpam-6348	102	9	problems	problem	NOUN
ejpam-6348	102	10	,	,	PUNCT
ejpam-6348	102	11	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	102	12	have	have	AUX
ejpam-6348	102	13	demonstrated	demonstrate	VERB
ejpam-6348	102	14	significant	significant	ADJ
ejpam-6348	102	15	adaptability	adaptability	NOUN
ejpam-6348	102	16	,	,	PUNCT
ejpam-6348	102	17	robustness	robustness	NOUN
ejpam-6348	102	18	,	,	PUNCT
ejpam-6348	102	19	and	and	CCONJ
ejpam-6348	102	20	generalization	generalization	NOUN
ejpam-6348	102	21	capabilities	capability	NOUN
ejpam-6348	102	22	across	across	ADP
ejpam-6348	102	23	diverse	diverse	ADJ
ejpam-6348	102	24	domains	domain	NOUN
ejpam-6348	102	25	[	[	X
ejpam-6348	102	26	27	27	NUM
ejpam-6348	102	27	,	,	PUNCT
ejpam-6348	102	28	28	28	NUM
ejpam-6348	102	29	]	]	PUNCT
ejpam-6348	102	30	.	.	PUNCT
ejpam-6348	103	1	their	their	PRON
ejpam-6348	103	2	primary	primary	ADJ
ejpam-6348	103	3	advantage	advantage	NOUN
ejpam-6348	103	4	lies	lie	VERB
ejpam-6348	103	5	in	in	ADP
ejpam-6348	103	6	abstracting	abstract	VERB
ejpam-6348	103	7	the	the	DET
ejpam-6348	103	8	problemsolving	problemsolve	VERB
ejpam-6348	103	9	process	process	NOUN
ejpam-6348	103	10	by	by	ADP
ejpam-6348	103	11	managing	manage	VERB
ejpam-6348	103	12	a	a	DET
ejpam-6348	103	13	portfolio	portfolio	NOUN
ejpam-6348	103	14	of	of	ADP
ejpam-6348	103	15	low	low	ADJ
ejpam-6348	103	16	-	-	PUNCT
ejpam-6348	103	17	level	level	NOUN
ejpam-6348	103	18	heuristics	heuristic	NOUN
ejpam-6348	103	19	and	and	CCONJ
ejpam-6348	103	20	employing	employ	VERB
ejpam-6348	103	21	intelligent	intelligent	ADJ
ejpam-6348	103	22	selection	selection	NOUN
ejpam-6348	103	23	or	or	CCONJ
ejpam-6348	103	24	generation	generation	NOUN
ejpam-6348	103	25	mechanisms	mechanism	NOUN
ejpam-6348	103	26	based	base	VERB
ejpam-6348	103	27	on	on	ADP
ejpam-6348	103	28	feedback	feedback	NOUN
ejpam-6348	103	29	from	from	ADP
ejpam-6348	103	30	prior	prior	ADJ
ejpam-6348	103	31	performance	performance	NOUN
ejpam-6348	103	32	.	.	PUNCT
ejpam-6348	104	1	early	early	ADJ
ejpam-6348	104	2	studies	study	NOUN
ejpam-6348	104	3	focused	focus	VERB
ejpam-6348	104	4	primarily	primarily	ADV
ejpam-6348	104	5	on	on	ADP
ejpam-6348	104	6	rule	rule	NOUN
ejpam-6348	104	7	-	-	PUNCT
ejpam-6348	104	8	based	base	VERB
ejpam-6348	104	9	or	or	CCONJ
ejpam-6348	104	10	evolutionary	evolutionary	ADJ
ejpam-6348	104	11	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	104	12	applied	apply	VERB
ejpam-6348	104	13	to	to	ADP
ejpam-6348	104	14	scheduling	scheduling	NOUN
ejpam-6348	104	15	,	,	PUNCT
ejpam-6348	104	16	packing	packing	NOUN
ejpam-6348	104	17	,	,	PUNCT
ejpam-6348	104	18	and	and	CCONJ
ejpam-6348	104	19	routing	route	VERB
ejpam-6348	104	20	problems	problem	NOUN
ejpam-6348	104	21	[	[	X
ejpam-6348	104	22	29	29	NUM
ejpam-6348	104	23	]	]	PUNCT
ejpam-6348	104	24	.	.	PUNCT
ejpam-6348	105	1	more	more	ADV
ejpam-6348	105	2	recently	recently	ADV
ejpam-6348	105	3	,	,	PUNCT
ejpam-6348	105	4	reinforcement	reinforcement	NOUN
ejpam-6348	105	5	learningbased	learningbase	VERB
ejpam-6348	105	6	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	105	7	have	have	AUX
ejpam-6348	105	8	gained	gain	VERB
ejpam-6348	105	9	momentum	momentum	NOUN
ejpam-6348	105	10	,	,	PUNCT
ejpam-6348	105	11	leveraging	leverage	VERB
ejpam-6348	105	12	q	q	NOUN
ejpam-6348	105	13	-	-	PUNCT
ejpam-6348	105	14	learning	learning	NOUN
ejpam-6348	105	15	,	,	PUNCT
ejpam-6348	105	16	policy	policy	NOUN
ejpam-6348	105	17	gradient	gradient	NOUN
ejpam-6348	105	18	methods	method	NOUN
ejpam-6348	105	19	,	,	PUNCT
ejpam-6348	105	20	and	and	CCONJ
ejpam-6348	105	21	deep	deep	ADJ
ejpam-6348	105	22	reinforcement	reinforcement	NOUN
ejpam-6348	105	23	learning	learning	NOUN
ejpam-6348	105	24	to	to	PART
ejpam-6348	105	25	improve	improve	VERB
ejpam-6348	105	26	heuristic	heuristic	ADJ
ejpam-6348	105	27	selection	selection	NOUN
ejpam-6348	105	28	strategies	strategy	NOUN
ejpam-6348	105	29	[	[	X
ejpam-6348	105	30	30	30	NUM
ejpam-6348	105	31	]	]	PUNCT
ejpam-6348	105	32	.	.	PUNCT
ejpam-6348	106	1	these	these	DET
ejpam-6348	106	2	learning	learning	NOUN
ejpam-6348	106	3	-	-	PUNCT
ejpam-6348	106	4	driven	drive	VERB
ejpam-6348	106	5	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	106	6	have	have	AUX
ejpam-6348	106	7	proven	prove	VERB
ejpam-6348	106	8	effective	effective	ADJ
ejpam-6348	106	9	in	in	ADP
ejpam-6348	106	10	adapting	adapt	VERB
ejpam-6348	106	11	to	to	ADP
ejpam-6348	106	12	dynamic	dynamic	ADJ
ejpam-6348	106	13	and	and	CCONJ
ejpam-6348	106	14	uncertain	uncertain	ADJ
ejpam-6348	106	15	optimization	optimization	NOUN
ejpam-6348	106	16	environments	environment	NOUN
ejpam-6348	106	17	,	,	PUNCT
ejpam-6348	106	18	thereby	thereby	ADV
ejpam-6348	106	19	reducing	reduce	VERB
ejpam-6348	106	20	human	human	ADJ
ejpam-6348	106	21	intervention	intervention	NOUN
ejpam-6348	106	22	and	and	CCONJ
ejpam-6348	106	23	enhancing	enhance	VERB
ejpam-6348	106	24	scalability	scalability	NOUN
ejpam-6348	106	25	.	.	PUNCT
ejpam-6348	107	1	recent	recent	ADJ
ejpam-6348	107	2	developments	development	NOUN
ejpam-6348	107	3	have	have	AUX
ejpam-6348	107	4	also	also	ADV
ejpam-6348	107	5	explored	explore	VERB
ejpam-6348	107	6	the	the	DET
ejpam-6348	107	7	integration	integration	NOUN
ejpam-6348	107	8	of	of	ADP
ejpam-6348	107	9	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	107	10	within	within	ADP
ejpam-6348	107	11	machine	machine	NOUN
ejpam-6348	107	12	learning	learn	VERB
ejpam-6348	107	13	workflows	workflow	NOUN
ejpam-6348	107	14	,	,	PUNCT
ejpam-6348	107	15	particularly	particularly	ADV
ejpam-6348	107	16	for	for	ADP
ejpam-6348	107	17	tasks	task	NOUN
ejpam-6348	107	18	such	such	ADJ
ejpam-6348	107	19	as	as	ADP
ejpam-6348	107	20	automated	automate	VERB
ejpam-6348	107	21	feature	feature	NOUN
ejpam-6348	107	22	selection	selection	NOUN
ejpam-6348	107	23	,	,	PUNCT
ejpam-6348	107	24	neural	neural	ADJ
ejpam-6348	107	25	architecture	architecture	NOUN
ejpam-6348	107	26	search	search	NOUN
ejpam-6348	107	27	,	,	PUNCT
ejpam-6348	107	28	and	and	CCONJ
ejpam-6348	107	29	hyperparameter	hyperparameter	NOUN
ejpam-6348	107	30	tuning	tuning	NOUN
ejpam-6348	107	31	,	,	PUNCT
ejpam-6348	107	32	signaling	signal	VERB
ejpam-6348	107	33	a	a	DET
ejpam-6348	107	34	promising	promising	ADJ
ejpam-6348	107	35	intersection	intersection	NOUN
ejpam-6348	107	36	between	between	ADP
ejpam-6348	107	37	optimization	optimization	NOUN
ejpam-6348	107	38	and	and	CCONJ
ejpam-6348	107	39	automated	automate	VERB
ejpam-6348	107	40	machine	machine	NOUN
ejpam-6348	107	41	learning	learning	NOUN
ejpam-6348	107	42	(	(	PUNCT
ejpam-6348	107	43	automl	automl	NOUN
ejpam-6348	107	44	)	)	PUNCT
ejpam-6348	107	45	paradigms	paradigm	VERB
ejpam-6348	108	1	[	[	X
ejpam-6348	108	2	31	31	NUM
ejpam-6348	108	3	]	]	PUNCT
ejpam-6348	108	4	.	.	PUNCT
ejpam-6348	109	1	the	the	DET
ejpam-6348	109	2	dynamic	dynamic	ADJ
ejpam-6348	109	3	and	and	CCONJ
ejpam-6348	109	4	adaptive	adaptive	ADJ
ejpam-6348	109	5	nature	nature	NOUN
ejpam-6348	109	6	of	of	ADP
ejpam-6348	109	7	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	109	8	positions	position	VERB
ejpam-6348	109	9	them	they	PRON
ejpam-6348	109	10	as	as	ADP
ejpam-6348	109	11	a	a	DET
ejpam-6348	109	12	strong	strong	ADJ
ejpam-6348	109	13	candidate	candidate	NOUN
ejpam-6348	109	14	for	for	ADP
ejpam-6348	109	15	solving	solve	VERB
ejpam-6348	109	16	increasingly	increasingly	ADV
ejpam-6348	109	17	complex	complex	ADJ
ejpam-6348	109	18	optimization	optimization	NOUN
ejpam-6348	109	19	problems	problem	NOUN
ejpam-6348	109	20	in	in	ADP
ejpam-6348	109	21	the	the	DET
ejpam-6348	109	22	era	era	NOUN
ejpam-6348	109	23	of	of	ADP
ejpam-6348	109	24	big	big	ADJ
ejpam-6348	109	25	data	datum	NOUN
ejpam-6348	109	26	and	and	CCONJ
ejpam-6348	109	27	deep	deep	ADJ
ejpam-6348	109	28	learning	learning	NOUN
ejpam-6348	109	29	.	.	PUNCT
ejpam-6348	110	1	2.4	2.4	NUM
ejpam-6348	110	2	.	.	PUNCT
ejpam-6348	110	3	reinforcement	reinforcement	NOUN
ejpam-6348	110	4	learning	learning	NOUN
ejpam-6348	110	5	and	and	CCONJ
ejpam-6348	110	6	adaptive	adaptive	ADJ
ejpam-6348	110	7	heuristic	heuristic	ADJ
ejpam-6348	110	8	selection	selection	NOUN
ejpam-6348	110	9	reinforcement	reinforcement	NOUN
ejpam-6348	110	10	learning	learning	NOUN
ejpam-6348	110	11	(	(	PUNCT
ejpam-6348	110	12	rl	rl	NOUN
ejpam-6348	110	13	)	)	PUNCT
ejpam-6348	110	14	has	have	AUX
ejpam-6348	110	15	been	be	AUX
ejpam-6348	110	16	increasingly	increasingly	ADV
ejpam-6348	110	17	integrated	integrate	VERB
ejpam-6348	110	18	into	into	ADP
ejpam-6348	110	19	hyperparameter	hyperparameter	NOUN
ejpam-6348	110	20	tuning	tune	VERB
ejpam-6348	110	21	to	to	PART
ejpam-6348	110	22	enhance	enhance	VERB
ejpam-6348	110	23	search	search	NOUN
ejpam-6348	110	24	efficiency	efficiency	NOUN
ejpam-6348	110	25	li	li	PROPN
ejpam-6348	110	26	et	et	PROPN
ejpam-6348	110	27	al	al	PROPN
ejpam-6348	110	28	.	.	PUNCT
ejpam-6348	111	1	[	[	X
ejpam-6348	111	2	5	5	NUM
ejpam-6348	111	3	]	]	PUNCT
ejpam-6348	111	4	.	.	PUNCT
ejpam-6348	112	1	falknet	falknet	NOUN
ejpam-6348	112	2	et	et	PROPN
ejpam-6348	112	3	al	al	PROPN
ejpam-6348	112	4	.	.	PUNCT
ejpam-6348	113	1	[	[	X
ejpam-6348	113	2	32	32	NUM
ejpam-6348	113	3	]	]	PUNCT
ejpam-6348	113	4	introduced	introduce	VERB
ejpam-6348	113	5	the	the	DET
ejpam-6348	113	6	bayesian	bayesian	NOUN
ejpam-6348	113	7	optimization	optimization	NOUN
ejpam-6348	113	8	and	and	CCONJ
ejpam-6348	113	9	hyperband	hyperband	NOUN
ejpam-6348	113	10	(	(	PUNCT
ejpam-6348	113	11	bohb	bohb	NOUN
ejpam-6348	113	12	)	)	PUNCT
ejpam-6348	113	13	approach	approach	NOUN
ejpam-6348	113	14	,	,	PUNCT
ejpam-6348	113	15	leveraging	leverage	VERB
ejpam-6348	113	16	rl	rl	ADP
ejpam-6348	113	17	principles	principle	NOUN
ejpam-6348	113	18	to	to	PART
ejpam-6348	113	19	adaptively	adaptively	ADV
ejpam-6348	113	20	allocate	allocate	VERB
ejpam-6348	113	21	resources	resource	NOUN
ejpam-6348	113	22	to	to	ADP
ejpam-6348	113	23	promising	promise	VERB
ejpam-6348	113	24	hyperparameter	hyperparameter	NOUN
ejpam-6348	113	25	configurations	configuration	NOUN
ejpam-6348	113	26	.	.	PUNCT
ejpam-6348	114	1	more	more	ADV
ejpam-6348	114	2	recently	recently	ADV
ejpam-6348	114	3	,	,	PUNCT
ejpam-6348	114	4	yu	yu	PROPN
ejpam-6348	114	5	et	et	PROPN
ejpam-6348	114	6	al	al	PROPN
ejpam-6348	114	7	.	.	PUNCT
ejpam-6348	115	1	[	[	X
ejpam-6348	115	2	33	33	NUM
ejpam-6348	115	3	]	]	PUNCT
ejpam-6348	115	4	proposed	propose	VERB
ejpam-6348	115	5	a	a	DET
ejpam-6348	115	6	q	q	NOUN
ejpam-6348	115	7	-	-	PUNCT
ejpam-6348	115	8	learning	learning	NOUN
ejpam-6348	115	9	-	-	PUNCT
ejpam-6348	115	10	based	base	VERB
ejpam-6348	115	11	heuristic	heuristic	ADJ
ejpam-6348	115	12	selection	selection	NOUN
ejpam-6348	115	13	method	method	NOUN
ejpam-6348	115	14	,	,	PUNCT
ejpam-6348	115	15	demonstrating	demonstrate	VERB
ejpam-6348	115	16	improved	improved	ADJ
ejpam-6348	115	17	efficiency	efficiency	NOUN
ejpam-6348	115	18	in	in	ADP
ejpam-6348	115	19	hyperparameter	hyperparameter	NOUN
ejpam-6348	115	20	tuning	tune	VERB
ejpam-6348	115	21	for	for	ADP
ejpam-6348	115	22	deep	deep	ADJ
ejpam-6348	115	23	neural	neural	ADJ
ejpam-6348	115	24	networks	network	NOUN
ejpam-6348	115	25	.	.	PUNCT
ejpam-6348	116	1	simulated	simulate	VERB
ejpam-6348	116	2	annealing	annealing	NOUN
ejpam-6348	116	3	has	have	AUX
ejpam-6348	116	4	also	also	ADV
ejpam-6348	116	5	been	be	AUX
ejpam-6348	116	6	utilized	utilize	VERB
ejpam-6348	116	7	as	as	ADP
ejpam-6348	116	8	an	an	DET
ejpam-6348	116	9	acceptance	acceptance	NOUN
ejpam-6348	116	10	criterion	criterion	NOUN
ejpam-6348	116	11	in	in	ADP
ejpam-6348	116	12	hyperparameter	hyperparameter	NOUN
ejpam-6348	116	13	tuning	tune	VERB
ejpam-6348	116	14	to	to	PART
ejpam-6348	116	15	prevent	prevent	VERB
ejpam-6348	116	16	premature	premature	ADJ
ejpam-6348	116	17	convergence	convergence	NOUN
ejpam-6348	116	18	[	[	X
ejpam-6348	116	19	34	34	NUM
ejpam-6348	116	20	]	]	PUNCT
ejpam-6348	116	21	.	.	PUNCT
ejpam-6348	117	1	studies	study	NOUN
ejpam-6348	117	2	by	by	ADP
ejpam-6348	117	3	bengio	bengio	PROPN
ejpam-6348	117	4	et	et	PROPN
ejpam-6348	117	5	al	al	PROPN
ejpam-6348	117	6	.	.	PUNCT
ejpam-6348	118	1	[	[	X
ejpam-6348	118	2	35	35	NUM
ejpam-6348	118	3	]	]	PUNCT
ejpam-6348	118	4	have	have	AUX
ejpam-6348	118	5	explored	explore	VERB
ejpam-6348	118	6	simulated	simulated	ADJ
ejpam-6348	118	7	annealing	annealing	NOUN
ejpam-6348	118	8	in	in	ADP
ejpam-6348	118	9	deep	deep	ADJ
ejpam-6348	118	10	learning	learning	NOUN
ejpam-6348	118	11	model	model	NOUN
ejpam-6348	118	12	selection	selection	NOUN
ejpam-6348	118	13	,	,	PUNCT
ejpam-6348	118	14	indicating	indicate	VERB
ejpam-6348	118	15	that	that	SCONJ
ejpam-6348	118	16	temperaturebased	temperaturebase	VERB
ejpam-6348	118	17	acceptance	acceptance	NOUN
ejpam-6348	118	18	criteria	criterion	NOUN
ejpam-6348	118	19	can	can	AUX
ejpam-6348	118	20	enhance	enhance	VERB
ejpam-6348	118	21	model	model	NOUN
ejpam-6348	118	22	generalization	generalization	NOUN
ejpam-6348	118	23	as	as	SCONJ
ejpam-6348	118	24	shown	show	VERB
ejpam-6348	118	25	in	in	ADP
ejpam-6348	118	26	figure	figure	NOUN
ejpam-6348	118	27	3	3	NUM
ejpam-6348	118	28	hyperparameter	hyperparameter	NOUN
ejpam-6348	118	29	tuning	tuning	NOUN
ejpam-6348	118	30	is	be	AUX
ejpam-6348	118	31	a	a	DET
ejpam-6348	118	32	crucial	crucial	ADJ
ejpam-6348	118	33	step	step	NOUN
ejpam-6348	118	34	in	in	ADP
ejpam-6348	118	35	optimizing	optimize	VERB
ejpam-6348	118	36	machine	machine	NOUN
ejpam-6348	118	37	learning	learning	NOUN
ejpam-6348	118	38	models	model	NOUN
ejpam-6348	118	39	,	,	PUNCT
ejpam-6348	118	40	directly	directly	ADV
ejpam-6348	118	41	impacting	impact	VERB
ejpam-6348	118	42	their	their	PRON
ejpam-6348	118	43	performance	performance	NOUN
ejpam-6348	118	44	and	and	CCONJ
ejpam-6348	118	45	generalization	generalization	NOUN
ejpam-6348	118	46	capabilities	capability	NOUN
ejpam-6348	118	47	.	.	PUNCT
ejpam-6348	119	1	traditional	traditional	ADJ
ejpam-6348	119	2	approaches	approach	NOUN
ejpam-6348	119	3	,	,	PUNCT
ejpam-6348	119	4	such	such	ADJ
ejpam-6348	119	5	as	as	ADP
ejpam-6348	119	6	grid	grid	NOUN
ejpam-6348	119	7	search	search	NOUN
ejpam-6348	119	8	,	,	PUNCT
ejpam-6348	119	9	random	random	ADJ
ejpam-6348	119	10	search	search	NOUN
ejpam-6348	119	11	,	,	PUNCT
ejpam-6348	119	12	and	and	CCONJ
ejpam-6348	119	13	bayesian	bayesian	NOUN
ejpam-6348	119	14	optimization	optimization	NOUN
ejpam-6348	119	15	,	,	PUNCT
ejpam-6348	119	16	often	often	ADV
ejpam-6348	119	17	suffer	suffer	VERB
ejpam-6348	119	18	from	from	ADP
ejpam-6348	119	19	inefficiencies	inefficiency	NOUN
ejpam-6348	119	20	,	,	PUNCT
ejpam-6348	119	21	particularly	particularly	ADV
ejpam-6348	119	22	in	in	ADP
ejpam-6348	119	23	high	high	ADJ
ejpam-6348	119	24	-	-	PUNCT
ejpam-6348	119	25	dimensional	dimensional	ADJ
ejpam-6348	119	26	hyperparameter	hyperparameter	NOUN
ejpam-6348	119	27	spaces	space	NOUN
ejpam-6348	119	28	.	.	PUNCT
ejpam-6348	120	1	to	to	PART
ejpam-6348	120	2	address	address	VERB
ejpam-6348	120	3	these	these	DET
ejpam-6348	120	4	limitations	limitation	NOUN
ejpam-6348	120	5	,	,	PUNCT
ejpam-6348	120	6	recent	recent	ADJ
ejpam-6348	120	7	works	work	NOUN
ejpam-6348	120	8	have	have	AUX
ejpam-6348	120	9	turned	turn	VERB
ejpam-6348	120	10	to	to	ADP
ejpam-6348	120	11	adaptive	adaptive	ADJ
ejpam-6348	120	12	and	and	CCONJ
ejpam-6348	120	13	heuristic	heuristic	NOUN
ejpam-6348	120	14	-	-	PUNCT
ejpam-6348	120	15	based	base	VERB
ejpam-6348	120	16	strategies	strategy	NOUN
ejpam-6348	120	17	across	across	ADP
ejpam-6348	120	18	various	various	ADJ
ejpam-6348	120	19	domains	domain	NOUN
ejpam-6348	120	20	.	.	PUNCT
ejpam-6348	121	1	for	for	ADP
ejpam-6348	121	2	example	example	NOUN
ejpam-6348	121	3	,	,	PUNCT
ejpam-6348	121	4	aly	aly	PROPN
ejpam-6348	121	5	et	et	PROPN
ejpam-6348	121	6	al	al	PROPN
ejpam-6348	121	7	.	.	PUNCT
ejpam-6348	122	1	[	[	X
ejpam-6348	122	2	36	36	NUM
ejpam-6348	122	3	,	,	PUNCT
ejpam-6348	122	4	37	37	NUM
ejpam-6348	122	5	]	]	PUNCT
ejpam-6348	122	6	explored	explore	VERB
ejpam-6348	122	7	machine	machine	NOUN
ejpam-6348	122	8	learning	learning	NOUN
ejpam-6348	122	9	architectures	architecture	NOUN
ejpam-6348	122	10	and	and	CCONJ
ejpam-6348	122	11	dynamic	dynamic	ADJ
ejpam-6348	122	12	feedback	feedback	NOUN
ejpam-6348	122	13	approaches	approach	NOUN
ejpam-6348	122	14	for	for	ADP
ejpam-6348	122	15	optimizing	optimize	VERB
ejpam-6348	122	16	sdn	sdn	NOUN
ejpam-6348	122	17	controller	controller	NOUN
ejpam-6348	122	18	placements	placement	NOUN
ejpam-6348	122	19	,	,	PUNCT
ejpam-6348	122	20	demonstrating	demonstrate	VERB
ejpam-6348	122	21	the	the	DET
ejpam-6348	122	22	impact	impact	NOUN
ejpam-6348	122	23	of	of	ADP
ejpam-6348	122	24	adaptive	adaptive	ADJ
ejpam-6348	122	25	control	control	NOUN
ejpam-6348	122	26	mechanisms	mechanism	NOUN
ejpam-6348	122	27	.	.	PUNCT
ejpam-6348	123	1	al	al	PROPN
ejpam-6348	123	2	-	-	PUNCT
ejpam-6348	123	3	tarawneh	tarawneh	PROPN
ejpam-6348	123	4	et	et	PROPN
ejpam-6348	123	5	al	al	PROPN
ejpam-6348	123	6	.	.	PUNCT
ejpam-6348	124	1	[	[	X
ejpam-6348	124	2	38	38	NUM
ejpam-6348	124	3	]	]	PUNCT
ejpam-6348	124	4	proposed	propose	VERB
ejpam-6348	124	5	a	a	DET
ejpam-6348	124	6	multik	multik	NOUN
ejpam-6348	124	7	.	.	PUNCT
ejpam-6348	125	1	danach	danach	PROPN
ejpam-6348	125	2	,	,	PUNCT
ejpam-6348	125	3	w.	w.	PROPN
ejpam-6348	125	4	h.	h.	PROPN
ejpam-6348	125	5	f.	f.	PROPN
ejpam-6348	125	6	aly	aly	PROPN
ejpam-6348	125	7	/	/	SYM
ejpam-6348	125	8	eur	eur	PROPN
ejpam-6348	125	9	.	.	PUNCT
ejpam-6348	126	1	j.	j.	PROPN
ejpam-6348	126	2	pure	pure	PROPN
ejpam-6348	126	3	appl	appl	PROPN
ejpam-6348	126	4	.	.	PROPN
ejpam-6348	126	5	math	math	PROPN
ejpam-6348	126	6	,	,	PUNCT
ejpam-6348	126	7	18	18	NUM
ejpam-6348	126	8	(	(	PUNCT
ejpam-6348	126	9	3	3	NUM
ejpam-6348	126	10	)	)	PUNCT
ejpam-6348	126	11	(	(	PUNCT
ejpam-6348	126	12	2025	2025	NUM
ejpam-6348	126	13	)	)	PUNCT
ejpam-6348	126	14	,	,	PUNCT
ejpam-6348	126	15	6348	6348	NUM
ejpam-6348	126	16	9	9	NUM
ejpam-6348	126	17	of	of	ADP
ejpam-6348	126	18	23	23	NUM
ejpam-6348	126	19	figure	figure	NOUN
ejpam-6348	126	20	3	3	NUM
ejpam-6348	126	21	:	:	PUNCT
ejpam-6348	126	22	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	126	23	in	in	ADP
ejpam-6348	126	24	optimization	optimization	NOUN
ejpam-6348	126	25	criteria	criterion	NOUN
ejpam-6348	126	26	decision	decision	NOUN
ejpam-6348	126	27	-	-	PUNCT
ejpam-6348	126	28	making	making	NOUN
ejpam-6348	126	29	(	(	PUNCT
ejpam-6348	126	30	mcdm	mcdm	ADJ
ejpam-6348	126	31	)	)	PUNCT
ejpam-6348	126	32	framework	framework	NOUN
ejpam-6348	126	33	for	for	ADP
ejpam-6348	126	34	trust	trust	NOUN
ejpam-6348	126	35	-	-	PUNCT
ejpam-6348	126	36	aware	aware	ADJ
ejpam-6348	126	37	and	and	CCONJ
ejpam-6348	126	38	fair	fair	ADJ
ejpam-6348	126	39	task	task	NOUN
ejpam-6348	126	40	offloading	offloading	NOUN
ejpam-6348	126	41	in	in	ADP
ejpam-6348	126	42	edge	edge	NOUN
ejpam-6348	126	43	-	-	PUNCT
ejpam-6348	126	44	fog	fog	NOUN
ejpam-6348	126	45	-	-	PUNCT
ejpam-6348	126	46	cloud	cloud	NOUN
ejpam-6348	126	47	systems	system	NOUN
ejpam-6348	126	48	,	,	PUNCT
ejpam-6348	126	49	further	far	ADV
ejpam-6348	126	50	emphasizing	emphasize	VERB
ejpam-6348	126	51	the	the	DET
ejpam-6348	126	52	role	role	NOUN
ejpam-6348	126	53	of	of	ADP
ejpam-6348	126	54	intelligent	intelligent	ADJ
ejpam-6348	126	55	allocation	allocation	NOUN
ejpam-6348	126	56	strategies	strategy	NOUN
ejpam-6348	126	57	.	.	PUNCT
ejpam-6348	127	1	in	in	ADP
ejpam-6348	127	2	a	a	DET
ejpam-6348	127	3	related	related	ADJ
ejpam-6348	127	4	context	context	NOUN
ejpam-6348	127	5	,	,	PUNCT
ejpam-6348	127	6	danach	danach	PROPN
ejpam-6348	127	7	et	et	NOUN
ejpam-6348	127	8	al	al	PROPN
ejpam-6348	127	9	.	.	PUNCT
ejpam-6348	128	1	[	[	X
ejpam-6348	128	2	39	39	NUM
ejpam-6348	128	3	]	]	PUNCT
ejpam-6348	128	4	presented	present	VERB
ejpam-6348	128	5	location	location	NOUN
ejpam-6348	128	6	planning	planning	NOUN
ejpam-6348	128	7	techniques	technique	NOUN
ejpam-6348	128	8	for	for	ADP
ejpam-6348	128	9	uav	uav	PROPN
ejpam-6348	128	10	-	-	PUNCT
ejpam-6348	128	11	based	base	VERB
ejpam-6348	128	12	internet	internet	NOUN
ejpam-6348	128	13	services	service	NOUN
ejpam-6348	128	14	,	,	PUNCT
ejpam-6348	128	15	showing	show	VERB
ejpam-6348	128	16	how	how	SCONJ
ejpam-6348	128	17	adaptive	adaptive	ADJ
ejpam-6348	128	18	strategies	strategy	NOUN
ejpam-6348	128	19	can	can	AUX
ejpam-6348	128	20	sustain	sustain	VERB
ejpam-6348	128	21	qos	qos	NOUN
ejpam-6348	128	22	during	during	ADP
ejpam-6348	128	23	crises	crisis	NOUN
ejpam-6348	128	24	.	.	PUNCT
ejpam-6348	129	1	additionally	additionally	ADV
ejpam-6348	129	2	,	,	PUNCT
ejpam-6348	129	3	kanj	kanj	PROPN
ejpam-6348	129	4	et	et	PROPN
ejpam-6348	129	5	al	al	PROPN
ejpam-6348	129	6	.	.	PUNCT
ejpam-6348	130	1	[	[	X
ejpam-6348	130	2	40	40	NUM
ejpam-6348	130	3	,	,	PUNCT
ejpam-6348	130	4	41	41	NUM
ejpam-6348	130	5	]	]	PUNCT
ejpam-6348	130	6	developed	develop	VERB
ejpam-6348	130	7	agent	agent	NOUN
ejpam-6348	130	8	-	-	PUNCT
ejpam-6348	130	9	based	base	VERB
ejpam-6348	130	10	and	and	CCONJ
ejpam-6348	130	11	dynamic	dynamic	ADJ
ejpam-6348	130	12	models	model	NOUN
ejpam-6348	130	13	for	for	ADP
ejpam-6348	130	14	risk	risk	NOUN
ejpam-6348	130	15	analysis	analysis	NOUN
ejpam-6348	130	16	,	,	PUNCT
ejpam-6348	130	17	which	which	PRON
ejpam-6348	130	18	align	align	VERB
ejpam-6348	130	19	with	with	ADP
ejpam-6348	130	20	the	the	DET
ejpam-6348	130	21	need	need	NOUN
ejpam-6348	130	22	for	for	ADP
ejpam-6348	130	23	flexible	flexible	ADJ
ejpam-6348	130	24	,	,	PUNCT
ejpam-6348	130	25	learning	learning	NOUN
ejpam-6348	130	26	-	-	PUNCT
ejpam-6348	130	27	based	base	VERB
ejpam-6348	130	28	decision	decision	NOUN
ejpam-6348	130	29	systems	system	NOUN
ejpam-6348	130	30	in	in	ADP
ejpam-6348	130	31	evolving	evolve	VERB
ejpam-6348	130	32	environments	environment	NOUN
ejpam-6348	130	33	.	.	PUNCT
ejpam-6348	131	1	alabed	alabe	VERB
ejpam-6348	131	2	et	et	PROPN
ejpam-6348	131	3	al	al	PROPN
ejpam-6348	131	4	.	.	PUNCT
ejpam-6348	132	1	[	[	X
ejpam-6348	132	2	42	42	NUM
ejpam-6348	132	3	]	]	PUNCT
ejpam-6348	132	4	proposed	propose	VERB
ejpam-6348	132	5	a	a	DET
ejpam-6348	132	6	low	low	ADJ
ejpam-6348	132	7	-	-	PUNCT
ejpam-6348	132	8	complexity	complexity	NOUN
ejpam-6348	132	9	distributed	distribute	VERB
ejpam-6348	132	10	differential	differential	NOUN
ejpam-6348	132	11	scheme	scheme	NOUN
ejpam-6348	132	12	for	for	ADP
ejpam-6348	132	13	wireless	wireless	ADJ
ejpam-6348	132	14	relay	relay	NOUN
ejpam-6348	132	15	networks	network	NOUN
ejpam-6348	132	16	,	,	PUNCT
ejpam-6348	132	17	indicating	indicate	VERB
ejpam-6348	132	18	that	that	SCONJ
ejpam-6348	132	19	efficiency	efficiency	NOUN
ejpam-6348	132	20	in	in	ADP
ejpam-6348	132	21	exploration	exploration	NOUN
ejpam-6348	132	22	strategies	strategy	NOUN
ejpam-6348	132	23	is	be	AUX
ejpam-6348	132	24	crucial	crucial	ADJ
ejpam-6348	132	25	in	in	ADP
ejpam-6348	132	26	constrained	constrained	ADJ
ejpam-6348	132	27	environments	environment	NOUN
ejpam-6348	132	28	.	.	PUNCT
ejpam-6348	133	1	research	research	NOUN
ejpam-6348	133	2	in	in	ADP
ejpam-6348	133	3	other	other	ADJ
ejpam-6348	133	4	domains	domain	NOUN
ejpam-6348	133	5	,	,	PUNCT
ejpam-6348	133	6	such	such	ADJ
ejpam-6348	133	7	as	as	ADP
ejpam-6348	133	8	acoustics	acoustic	NOUN
ejpam-6348	133	9	[	[	X
ejpam-6348	133	10	43	43	NUM
ejpam-6348	133	11	]	]	PUNCT
ejpam-6348	133	12	and	and	CCONJ
ejpam-6348	133	13	medical	medical	ADJ
ejpam-6348	133	14	diagnostics	diagnostic	NOUN
ejpam-6348	133	15	[	[	X
ejpam-6348	133	16	44	44	NUM
ejpam-6348	133	17	]	]	PUNCT
ejpam-6348	133	18	,	,	PUNCT
ejpam-6348	133	19	also	also	ADV
ejpam-6348	133	20	highlights	highlight	VERB
ejpam-6348	133	21	the	the	DET
ejpam-6348	133	22	importance	importance	NOUN
ejpam-6348	133	23	of	of	ADP
ejpam-6348	133	24	model	model	NOUN
ejpam-6348	133	25	optimization	optimization	NOUN
ejpam-6348	133	26	and	and	CCONJ
ejpam-6348	133	27	interpretability	interpretability	NOUN
ejpam-6348	133	28	.	.	PUNCT
ejpam-6348	134	1	building	build	VERB
ejpam-6348	134	2	upon	upon	SCONJ
ejpam-6348	134	3	these	these	DET
ejpam-6348	134	4	insights	insight	NOUN
ejpam-6348	134	5	,	,	PUNCT
ejpam-6348	134	6	this	this	DET
ejpam-6348	134	7	paper	paper	NOUN
ejpam-6348	134	8	proposes	propose	VERB
ejpam-6348	134	9	a	a	DET
ejpam-6348	134	10	novel	novel	ADJ
ejpam-6348	134	11	adaptive	adaptive	ADJ
ejpam-6348	134	12	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	134	13	framework	framework	NOUN
ejpam-6348	134	14	for	for	ADP
ejpam-6348	134	15	hyperparameter	hyperparameter	NOUN
ejpam-6348	134	16	tuning	tuning	NOUN
ejpam-6348	134	17	,	,	PUNCT
ejpam-6348	134	18	referred	refer	VERB
ejpam-6348	134	19	to	to	ADP
ejpam-6348	134	20	as	as	ADP
ejpam-6348	134	21	the	the	DET
ejpam-6348	134	22	ahpqa	ahpqa	ADJ
ejpam-6348	134	23	framework	framework	NOUN
ejpam-6348	134	24	.	.	PUNCT
ejpam-6348	135	1	the	the	DET
ejpam-6348	135	2	prok	prok	PROPN
ejpam-6348	135	3	.	.	PUNCT
ejpam-6348	136	1	danach	danach	PROPN
ejpam-6348	136	2	,	,	PUNCT
ejpam-6348	136	3	w.	w.	PROPN
ejpam-6348	136	4	h.	h.	PROPN
ejpam-6348	136	5	f.	f.	PROPN
ejpam-6348	136	6	aly	aly	PROPN
ejpam-6348	136	7	/	/	SYM
ejpam-6348	136	8	eur	eur	PROPN
ejpam-6348	136	9	.	.	PUNCT
ejpam-6348	137	1	j.	j.	PROPN
ejpam-6348	137	2	pure	pure	PROPN
ejpam-6348	137	3	appl	appl	PROPN
ejpam-6348	137	4	.	.	PROPN
ejpam-6348	137	5	math	math	PROPN
ejpam-6348	137	6	,	,	PUNCT
ejpam-6348	137	7	18	18	NUM
ejpam-6348	137	8	(	(	PUNCT
ejpam-6348	137	9	3	3	NUM
ejpam-6348	137	10	)	)	PUNCT
ejpam-6348	137	11	(	(	PUNCT
ejpam-6348	137	12	2025	2025	NUM
ejpam-6348	137	13	)	)	PUNCT
ejpam-6348	137	14	,	,	PUNCT
ejpam-6348	137	15	6348	6348	NUM
ejpam-6348	137	16	10	10	NUM
ejpam-6348	137	17	of	of	ADP
ejpam-6348	137	18	23	23	NUM
ejpam-6348	137	19	posed	pose	VERB
ejpam-6348	137	20	framework	framework	NOUN
ejpam-6348	137	21	integrates	integrate	VERB
ejpam-6348	137	22	a	a	DET
ejpam-6348	137	23	two	two	NUM
ejpam-6348	137	24	-	-	PUNCT
ejpam-6348	137	25	layered	layered	ADJ
ejpam-6348	137	26	structure	structure	NOUN
ejpam-6348	137	27	:	:	PUNCT
ejpam-6348	137	28	a	a	DET
ejpam-6348	137	29	high	high	ADJ
ejpam-6348	137	30	-	-	PUNCT
ejpam-6348	137	31	level	level	NOUN
ejpam-6348	137	32	q	q	NOUN
ejpam-6348	137	33	-	-	PUNCT
ejpam-6348	137	34	learning	learning	NOUN
ejpam-6348	137	35	-	-	PUNCT
ejpam-6348	137	36	based	base	VERB
ejpam-6348	137	37	heuristic	heuristic	ADJ
ejpam-6348	137	38	selection	selection	NOUN
ejpam-6348	137	39	mechanism	mechanism	NOUN
ejpam-6348	137	40	and	and	CCONJ
ejpam-6348	137	41	a	a	DET
ejpam-6348	137	42	set	set	NOUN
ejpam-6348	137	43	of	of	ADP
ejpam-6348	137	44	low	low	ADJ
ejpam-6348	137	45	-	-	PUNCT
ejpam-6348	137	46	level	level	NOUN
ejpam-6348	137	47	heuristics	heuristic	NOUN
ejpam-6348	137	48	categorized	categorize	VERB
ejpam-6348	137	49	into	into	ADP
ejpam-6348	137	50	constructive	constructive	ADJ
ejpam-6348	137	51	,	,	PUNCT
ejpam-6348	137	52	improvement	improvement	NOUN
ejpam-6348	137	53	,	,	PUNCT
ejpam-6348	137	54	and	and	CCONJ
ejpam-6348	137	55	perturbation	perturbation	NOUN
ejpam-6348	137	56	heuristics	heuristic	NOUN
ejpam-6348	137	57	.	.	PUNCT
ejpam-6348	138	1	the	the	DET
ejpam-6348	138	2	q	q	ADJ
ejpam-6348	138	3	-	-	PUNCT
ejpam-6348	138	4	learning	learn	VERB
ejpam-6348	138	5	model	model	NOUN
ejpam-6348	138	6	selects	select	VERB
ejpam-6348	138	7	heuristics	heuristic	NOUN
ejpam-6348	138	8	based	base	VERB
ejpam-6348	138	9	on	on	ADP
ejpam-6348	138	10	historical	historical	ADJ
ejpam-6348	138	11	performance	performance	NOUN
ejpam-6348	138	12	,	,	PUNCT
ejpam-6348	138	13	ensuring	ensure	VERB
ejpam-6348	138	14	a	a	DET
ejpam-6348	138	15	dynamic	dynamic	ADJ
ejpam-6348	138	16	balance	balance	NOUN
ejpam-6348	138	17	between	between	ADP
ejpam-6348	138	18	exploration	exploration	NOUN
ejpam-6348	138	19	and	and	CCONJ
ejpam-6348	138	20	exploitation	exploitation	NOUN
ejpam-6348	138	21	.	.	PUNCT
ejpam-6348	139	1	additionally	additionally	ADV
ejpam-6348	139	2	,	,	PUNCT
ejpam-6348	139	3	a	a	DET
ejpam-6348	139	4	simulated	simulate	VERB
ejpam-6348	139	5	annealing	annealing	NOUN
ejpam-6348	139	6	-	-	PUNCT
ejpam-6348	139	7	based	base	VERB
ejpam-6348	139	8	probabilistic	probabilistic	ADJ
ejpam-6348	139	9	function	function	NOUN
ejpam-6348	139	10	governs	govern	VERB
ejpam-6348	139	11	the	the	DET
ejpam-6348	139	12	acceptance	acceptance	NOUN
ejpam-6348	139	13	of	of	ADP
ejpam-6348	139	14	new	new	ADJ
ejpam-6348	139	15	hyperparameter	hyperparameter	NOUN
ejpam-6348	139	16	configurations	configuration	NOUN
ejpam-6348	139	17	,	,	PUNCT
ejpam-6348	139	18	helping	help	VERB
ejpam-6348	139	19	the	the	DET
ejpam-6348	139	20	algorithm	algorithm	NOUN
ejpam-6348	139	21	escape	escape	VERB
ejpam-6348	139	22	local	local	ADJ
ejpam-6348	139	23	optima	optima	NOUN
ejpam-6348	139	24	.	.	PUNCT
ejpam-6348	140	1	the	the	DET
ejpam-6348	140	2	framework	framework	NOUN
ejpam-6348	140	3	is	be	AUX
ejpam-6348	140	4	evaluated	evaluate	VERB
ejpam-6348	140	5	on	on	ADP
ejpam-6348	140	6	various	various	ADJ
ejpam-6348	140	7	machine	machine	NOUN
ejpam-6348	140	8	learning	learning	NOUN
ejpam-6348	140	9	tasks	task	NOUN
ejpam-6348	140	10	,	,	PUNCT
ejpam-6348	140	11	including	include	VERB
ejpam-6348	140	12	deep	deep	ADJ
ejpam-6348	140	13	learning	learning	NOUN
ejpam-6348	140	14	and	and	CCONJ
ejpam-6348	140	15	ensemble	ensemble	ADJ
ejpam-6348	140	16	classifiers	classifier	NOUN
ejpam-6348	140	17	,	,	PUNCT
ejpam-6348	140	18	using	use	VERB
ejpam-6348	140	19	publicly	publicly	ADV
ejpam-6348	140	20	available	available	ADJ
ejpam-6348	140	21	datasets	dataset	NOUN
ejpam-6348	140	22	.	.	PUNCT
ejpam-6348	141	1	comparative	comparative	ADJ
ejpam-6348	141	2	experiments	experiment	NOUN
ejpam-6348	141	3	against	against	ADP
ejpam-6348	141	4	grid	grid	NOUN
ejpam-6348	141	5	search	search	NOUN
ejpam-6348	141	6	,	,	PUNCT
ejpam-6348	141	7	random	random	ADJ
ejpam-6348	141	8	search	search	NOUN
ejpam-6348	141	9	,	,	PUNCT
ejpam-6348	141	10	and	and	CCONJ
ejpam-6348	141	11	bayesian	bayesian	NOUN
ejpam-6348	141	12	optimization	optimization	NOUN
ejpam-6348	141	13	show	show	VERB
ejpam-6348	141	14	that	that	SCONJ
ejpam-6348	141	15	ahpqa	ahpqa	NOUN
ejpam-6348	141	16	achieves	achieve	VERB
ejpam-6348	141	17	faster	fast	ADJ
ejpam-6348	141	18	convergence	convergence	NOUN
ejpam-6348	141	19	,	,	PUNCT
ejpam-6348	141	20	lower	low	ADJ
ejpam-6348	141	21	computational	computational	ADJ
ejpam-6348	141	22	overhead	overhead	NOUN
ejpam-6348	141	23	,	,	PUNCT
ejpam-6348	141	24	and	and	CCONJ
ejpam-6348	141	25	improved	improved	ADJ
ejpam-6348	141	26	accuracy	accuracy	NOUN
ejpam-6348	141	27	.	.	PUNCT
ejpam-6348	142	1	the	the	DET
ejpam-6348	142	2	methodology	methodology	NOUN
ejpam-6348	142	3	’s	’s	PART
ejpam-6348	142	4	adaptability	adaptability	NOUN
ejpam-6348	142	5	and	and	CCONJ
ejpam-6348	142	6	scalability	scalability	NOUN
ejpam-6348	142	7	reflect	reflect	VERB
ejpam-6348	142	8	similar	similar	ADJ
ejpam-6348	142	9	gains	gain	NOUN
ejpam-6348	142	10	observed	observe	VERB
ejpam-6348	142	11	in	in	ADP
ejpam-6348	142	12	prior	prior	ADJ
ejpam-6348	142	13	adaptive	adaptive	ADJ
ejpam-6348	142	14	systems	system	NOUN
ejpam-6348	142	15	[	[	X
ejpam-6348	142	16	45	45	NUM
ejpam-6348	142	17	]	]	PUNCT
ejpam-6348	142	18	.	.	PUNCT
ejpam-6348	143	1	this	this	DET
ejpam-6348	143	2	study	study	NOUN
ejpam-6348	143	3	thus	thus	ADV
ejpam-6348	143	4	contributes	contribute	VERB
ejpam-6348	143	5	a	a	DET
ejpam-6348	143	6	generalizable	generalizable	ADJ
ejpam-6348	143	7	,	,	PUNCT
ejpam-6348	143	8	efficient	efficient	ADJ
ejpam-6348	143	9	approach	approach	NOUN
ejpam-6348	143	10	to	to	ADP
ejpam-6348	143	11	hyperparameter	hyperparameter	NOUN
ejpam-6348	143	12	tuning	tuning	NOUN
ejpam-6348	143	13	.	.	PUNCT
ejpam-6348	144	1	future	future	ADJ
ejpam-6348	144	2	work	work	NOUN
ejpam-6348	144	3	includes	include	VERB
ejpam-6348	144	4	extending	extend	VERB
ejpam-6348	144	5	the	the	DET
ejpam-6348	144	6	framework	framework	NOUN
ejpam-6348	144	7	to	to	ADP
ejpam-6348	144	8	reinforcement	reinforcement	NOUN
ejpam-6348	144	9	learning	learning	NOUN
ejpam-6348	144	10	environments	environment	NOUN
ejpam-6348	144	11	and	and	CCONJ
ejpam-6348	144	12	integrating	integrate	VERB
ejpam-6348	144	13	explainable	explainable	ADJ
ejpam-6348	144	14	ai	ai	NOUN
ejpam-6348	144	15	techniques	technique	NOUN
ejpam-6348	144	16	to	to	PART
ejpam-6348	144	17	enhance	enhance	VERB
ejpam-6348	144	18	transparency	transparency	NOUN
ejpam-6348	144	19	and	and	CCONJ
ejpam-6348	144	20	trust	trust	NOUN
ejpam-6348	144	21	in	in	ADP
ejpam-6348	144	22	automated	automate	VERB
ejpam-6348	144	23	model	model	NOUN
ejpam-6348	144	24	selection	selection	NOUN
ejpam-6348	144	25	.	.	PUNCT
ejpam-6348	145	1	2.5	2.5	NUM
ejpam-6348	145	2	.	.	PUNCT
ejpam-6348	146	1	proposed	propose	VERB
ejpam-6348	146	2	contribution	contribution	NOUN
ejpam-6348	146	3	despite	despite	SCONJ
ejpam-6348	146	4	significant	significant	ADJ
ejpam-6348	146	5	advancements	advancement	NOUN
ejpam-6348	146	6	in	in	ADP
ejpam-6348	146	7	hyperparameter	hyperparameter	NOUN
ejpam-6348	146	8	tuning	tuning	NOUN
ejpam-6348	146	9	methods	method	NOUN
ejpam-6348	146	10	,	,	PUNCT
ejpam-6348	146	11	many	many	ADJ
ejpam-6348	146	12	existing	exist	VERB
ejpam-6348	146	13	approaches	approach	NOUN
ejpam-6348	146	14	still	still	ADV
ejpam-6348	146	15	suffer	suffer	VERB
ejpam-6348	146	16	from	from	ADP
ejpam-6348	146	17	critical	critical	ADJ
ejpam-6348	146	18	limitations	limitation	NOUN
ejpam-6348	146	19	.	.	PUNCT
ejpam-6348	147	1	these	these	PRON
ejpam-6348	147	2	include	include	VERB
ejpam-6348	147	3	:	:	PUNCT
ejpam-6348	147	4	(	(	PUNCT
ejpam-6348	147	5	i	i	NOUN
ejpam-6348	147	6	)	)	PUNCT
ejpam-6348	147	7	static	static	ADJ
ejpam-6348	147	8	or	or	CCONJ
ejpam-6348	147	9	predefined	predefine	VERB
ejpam-6348	147	10	heuristic	heuristic	ADJ
ejpam-6348	147	11	application	application	NOUN
ejpam-6348	147	12	sequences	sequence	NOUN
ejpam-6348	147	13	that	that	PRON
ejpam-6348	147	14	lack	lack	VERB
ejpam-6348	147	15	real	real	ADJ
ejpam-6348	147	16	-	-	PUNCT
ejpam-6348	147	17	time	time	NOUN
ejpam-6348	147	18	adaptability	adaptability	NOUN
ejpam-6348	147	19	,	,	PUNCT
ejpam-6348	147	20	(	(	PUNCT
ejpam-6348	147	21	ii	ii	NOUN
ejpam-6348	147	22	)	)	PUNCT
ejpam-6348	147	23	inefficiencies	inefficiency	NOUN
ejpam-6348	147	24	when	when	SCONJ
ejpam-6348	147	25	navigating	navigate	VERB
ejpam-6348	147	26	high	high	ADJ
ejpam-6348	147	27	-	-	PUNCT
ejpam-6348	147	28	dimensional	dimensional	ADJ
ejpam-6348	147	29	and	and	CCONJ
ejpam-6348	147	30	non	non	ADJ
ejpam-6348	147	31	-	-	ADJ
ejpam-6348	147	32	convex	convex	ADJ
ejpam-6348	147	33	search	search	NOUN
ejpam-6348	147	34	spaces	space	NOUN
ejpam-6348	147	35	,	,	PUNCT
ejpam-6348	147	36	and	and	CCONJ
ejpam-6348	147	37	(	(	PUNCT
ejpam-6348	147	38	iii	iii	X
ejpam-6348	147	39	)	)	PUNCT
ejpam-6348	147	40	the	the	DET
ejpam-6348	147	41	inability	inability	NOUN
ejpam-6348	147	42	to	to	PART
ejpam-6348	147	43	effectively	effectively	ADV
ejpam-6348	147	44	escape	escape	VERB
ejpam-6348	147	45	local	local	ADJ
ejpam-6348	147	46	optima	optima	NOUN
ejpam-6348	147	47	,	,	PUNCT
ejpam-6348	147	48	which	which	PRON
ejpam-6348	147	49	impairs	impair	VERB
ejpam-6348	147	50	convergence	convergence	NOUN
ejpam-6348	147	51	and	and	CCONJ
ejpam-6348	147	52	solution	solution	NOUN
ejpam-6348	147	53	quality	quality	NOUN
ejpam-6348	147	54	.	.	PUNCT
ejpam-6348	148	1	while	while	SCONJ
ejpam-6348	148	2	reinforcement	reinforcement	NOUN
ejpam-6348	148	3	learning	learning	NOUN
ejpam-6348	148	4	-	-	PUNCT
ejpam-6348	148	5	based	base	VERB
ejpam-6348	148	6	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	148	7	and	and	CCONJ
ejpam-6348	148	8	simulated	simulate	VERB
ejpam-6348	148	9	annealing	annealing	NOUN
ejpam-6348	148	10	have	have	AUX
ejpam-6348	148	11	each	each	PRON
ejpam-6348	148	12	shown	show	VERB
ejpam-6348	148	13	promise	promise	NOUN
ejpam-6348	148	14	independently	independently	ADV
ejpam-6348	148	15	,	,	PUNCT
ejpam-6348	148	16	their	their	PRON
ejpam-6348	148	17	combined	combined	ADJ
ejpam-6348	148	18	potential	potential	NOUN
ejpam-6348	148	19	in	in	ADP
ejpam-6348	148	20	a	a	DET
ejpam-6348	148	21	unified	unified	ADJ
ejpam-6348	148	22	,	,	PUNCT
ejpam-6348	148	23	learning	learning	NOUN
ejpam-6348	148	24	-	-	PUNCT
ejpam-6348	148	25	driven	drive	VERB
ejpam-6348	148	26	framework	framework	NOUN
ejpam-6348	148	27	remains	remain	VERB
ejpam-6348	148	28	underexplored	underexplored	ADJ
ejpam-6348	148	29	.	.	PUNCT
ejpam-6348	149	1	this	this	DET
ejpam-6348	149	2	paper	paper	NOUN
ejpam-6348	149	3	addresses	address	VERB
ejpam-6348	149	4	these	these	DET
ejpam-6348	149	5	gaps	gap	NOUN
ejpam-6348	149	6	by	by	ADP
ejpam-6348	149	7	proposing	propose	VERB
ejpam-6348	149	8	a	a	DET
ejpam-6348	149	9	novel	novel	ADJ
ejpam-6348	149	10	adaptive	adaptive	ADJ
ejpam-6348	149	11	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	149	12	framework	framework	NOUN
ejpam-6348	149	13	that	that	PRON
ejpam-6348	149	14	systematically	systematically	ADV
ejpam-6348	149	15	integrates	integrate	VERB
ejpam-6348	149	16	q	q	ADJ
ejpam-6348	149	17	-	-	PUNCT
ejpam-6348	149	18	learning	learning	NOUN
ejpam-6348	149	19	-	-	PUNCT
ejpam-6348	149	20	based	base	VERB
ejpam-6348	149	21	heuristic	heuristic	ADJ
ejpam-6348	149	22	selection	selection	NOUN
ejpam-6348	149	23	with	with	ADP
ejpam-6348	149	24	simulated	simulate	VERB
ejpam-6348	149	25	annealing	annealing	NOUN
ejpam-6348	149	26	-	-	PUNCT
ejpam-6348	149	27	based	base	VERB
ejpam-6348	149	28	acceptance	acceptance	NOUN
ejpam-6348	149	29	criteria	criterion	NOUN
ejpam-6348	149	30	.	.	PUNCT
ejpam-6348	150	1	the	the	DET
ejpam-6348	150	2	framework	framework	NOUN
ejpam-6348	150	3	dynamically	dynamically	ADV
ejpam-6348	150	4	selects	select	NOUN
ejpam-6348	150	5	among	among	ADP
ejpam-6348	150	6	constructive	constructive	ADJ
ejpam-6348	150	7	,	,	PUNCT
ejpam-6348	150	8	improvement	improvement	NOUN
ejpam-6348	150	9	,	,	PUNCT
ejpam-6348	150	10	and	and	CCONJ
ejpam-6348	150	11	perturbation	perturbation	NOUN
ejpam-6348	150	12	heuristics	heuristic	NOUN
ejpam-6348	150	13	based	base	VERB
ejpam-6348	150	14	on	on	ADP
ejpam-6348	150	15	real	real	ADJ
ejpam-6348	150	16	-	-	PUNCT
ejpam-6348	150	17	time	time	NOUN
ejpam-6348	150	18	feedback	feedback	NOUN
ejpam-6348	150	19	,	,	PUNCT
ejpam-6348	150	20	enabling	enable	VERB
ejpam-6348	150	21	both	both	CCONJ
ejpam-6348	150	22	intelligent	intelligent	ADJ
ejpam-6348	150	23	exploration	exploration	NOUN
ejpam-6348	150	24	and	and	CCONJ
ejpam-6348	150	25	efficient	efficient	ADJ
ejpam-6348	150	26	convergence	convergence	NOUN
ejpam-6348	150	27	.	.	PUNCT
ejpam-6348	151	1	unlike	unlike	ADP
ejpam-6348	151	2	previous	previous	ADJ
ejpam-6348	151	3	studies	study	NOUN
ejpam-6348	151	4	that	that	PRON
ejpam-6348	151	5	often	often	ADV
ejpam-6348	151	6	evaluate	evaluate	VERB
ejpam-6348	151	7	methods	method	NOUN
ejpam-6348	151	8	on	on	ADP
ejpam-6348	151	9	narrow	narrow	ADJ
ejpam-6348	151	10	task	task	NOUN
ejpam-6348	151	11	scopes	scope	NOUN
ejpam-6348	151	12	or	or	CCONJ
ejpam-6348	151	13	rely	rely	VERB
ejpam-6348	151	14	on	on	ADP
ejpam-6348	151	15	single	single	ADJ
ejpam-6348	151	16	-	-	PUNCT
ejpam-6348	151	17	class	class	NOUN
ejpam-6348	151	18	models	model	NOUN
ejpam-6348	151	19	,	,	PUNCT
ejpam-6348	151	20	our	our	PRON
ejpam-6348	151	21	proposed	propose	VERB
ejpam-6348	151	22	framework	framework	NOUN
ejpam-6348	151	23	is	be	AUX
ejpam-6348	151	24	rigorously	rigorously	ADV
ejpam-6348	151	25	tested	test	VERB
ejpam-6348	151	26	across	across	ADP
ejpam-6348	151	27	a	a	DET
ejpam-6348	151	28	broad	broad	ADJ
ejpam-6348	151	29	spectrum	spectrum	NOUN
ejpam-6348	151	30	of	of	ADP
ejpam-6348	151	31	machine	machine	NOUN
ejpam-6348	151	32	learning	learning	NOUN
ejpam-6348	151	33	paradigms	paradigm	NOUN
ejpam-6348	151	34	,	,	PUNCT
ejpam-6348	151	35	including	include	VERB
ejpam-6348	151	36	deep	deep	ADJ
ejpam-6348	151	37	learning	learning	NOUN
ejpam-6348	151	38	and	and	CCONJ
ejpam-6348	151	39	ensemble	ensemble	ADJ
ejpam-6348	151	40	models	model	NOUN
ejpam-6348	151	41	.	.	PUNCT
ejpam-6348	152	1	this	this	PRON
ejpam-6348	152	2	ensures	ensure	VERB
ejpam-6348	152	3	its	its	PRON
ejpam-6348	152	4	generalizability	generalizability	NOUN
ejpam-6348	152	5	and	and	CCONJ
ejpam-6348	152	6	practicality	practicality	NOUN
ejpam-6348	152	7	in	in	ADP
ejpam-6348	152	8	real	real	ADJ
ejpam-6348	152	9	-	-	PUNCT
ejpam-6348	152	10	world	world	NOUN
ejpam-6348	152	11	applications	application	NOUN
ejpam-6348	152	12	.	.	PUNCT
ejpam-6348	153	1	the	the	DET
ejpam-6348	153	2	proposed	propose	VERB
ejpam-6348	153	3	approach	approach	NOUN
ejpam-6348	153	4	builds	build	VERB
ejpam-6348	153	5	upon	upon	SCONJ
ejpam-6348	153	6	prior	prior	ADJ
ejpam-6348	153	7	research	research	NOUN
ejpam-6348	153	8	in	in	ADP
ejpam-6348	153	9	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	153	10	and	and	CCONJ
ejpam-6348	153	11	reinforcement	reinforcement	NOUN
ejpam-6348	153	12	learning	learning	NOUN
ejpam-6348	153	13	,	,	PUNCT
ejpam-6348	153	14	leveraging	leverage	VERB
ejpam-6348	153	15	the	the	DET
ejpam-6348	153	16	strengths	strength	NOUN
ejpam-6348	153	17	of	of	ADP
ejpam-6348	153	18	both	both	DET
ejpam-6348	153	19	domains	domain	NOUN
ejpam-6348	153	20	to	to	PART
ejpam-6348	153	21	enhance	enhance	VERB
ejpam-6348	153	22	hyperparameter	hyperparameter	NOUN
ejpam-6348	153	23	optimization	optimization	NOUN
ejpam-6348	153	24	.	.	PUNCT
ejpam-6348	154	1	by	by	ADP
ejpam-6348	154	2	coupling	couple	VERB
ejpam-6348	154	3	adaptive	adaptive	ADJ
ejpam-6348	154	4	selection	selection	NOUN
ejpam-6348	154	5	with	with	ADP
ejpam-6348	154	6	probabilistic	probabilistic	ADJ
ejpam-6348	154	7	acceptance	acceptance	NOUN
ejpam-6348	154	8	,	,	PUNCT
ejpam-6348	154	9	the	the	DET
ejpam-6348	154	10	framework	framework	NOUN
ejpam-6348	154	11	reduces	reduce	VERB
ejpam-6348	154	12	redundant	redundant	ADJ
ejpam-6348	154	13	evaluations	evaluation	NOUN
ejpam-6348	154	14	,	,	PUNCT
ejpam-6348	154	15	improves	improve	VERB
ejpam-6348	154	16	computational	computational	ADJ
ejpam-6348	154	17	efficiency	efficiency	NOUN
ejpam-6348	154	18	,	,	PUNCT
ejpam-6348	154	19	and	and	CCONJ
ejpam-6348	154	20	mitigates	mitigate	VERB
ejpam-6348	154	21	premature	premature	ADJ
ejpam-6348	154	22	convergence	convergence	NOUN
ejpam-6348	154	23	.	.	PUNCT
ejpam-6348	155	1	experimental	experimental	ADJ
ejpam-6348	155	2	validation	validation	NOUN
ejpam-6348	155	3	compares	compare	VERB
ejpam-6348	155	4	this	this	DET
ejpam-6348	155	5	framework	framework	NOUN
ejpam-6348	155	6	against	against	ADP
ejpam-6348	155	7	traditional	traditional	ADJ
ejpam-6348	155	8	and	and	CCONJ
ejpam-6348	155	9	metaheuristic	metaheuristic	ADV
ejpam-6348	155	10	-	-	PUNCT
ejpam-6348	155	11	based	base	VERB
ejpam-6348	155	12	tuning	tuning	NOUN
ejpam-6348	155	13	methods	method	NOUN
ejpam-6348	155	14	,	,	PUNCT
ejpam-6348	155	15	providing	provide	VERB
ejpam-6348	155	16	a	a	DET
ejpam-6348	155	17	comprehensive	comprehensive	ADJ
ejpam-6348	155	18	assessment	assessment	NOUN
ejpam-6348	155	19	of	of	ADP
ejpam-6348	155	20	its	its	PRON
ejpam-6348	155	21	effectiveness	effectiveness	NOUN
ejpam-6348	155	22	.	.	PUNCT
ejpam-6348	156	1	k.	k.	PROPN
ejpam-6348	156	2	danach	danach	PROPN
ejpam-6348	156	3	,	,	PUNCT
ejpam-6348	156	4	w.	w.	PROPN
ejpam-6348	156	5	h.	h.	PROPN
ejpam-6348	156	6	f.	f.	PROPN
ejpam-6348	156	7	aly	aly	PROPN
ejpam-6348	156	8	/	/	SYM
ejpam-6348	156	9	eur	eur	PROPN
ejpam-6348	156	10	.	.	PUNCT
ejpam-6348	157	1	j.	j.	PROPN
ejpam-6348	157	2	pure	pure	PROPN
ejpam-6348	157	3	appl	appl	PROPN
ejpam-6348	157	4	.	.	PROPN
ejpam-6348	157	5	math	math	PROPN
ejpam-6348	157	6	,	,	PUNCT
ejpam-6348	157	7	18	18	NUM
ejpam-6348	157	8	(	(	PUNCT
ejpam-6348	157	9	3	3	NUM
ejpam-6348	157	10	)	)	PUNCT
ejpam-6348	157	11	(	(	PUNCT
ejpam-6348	157	12	2025	2025	NUM
ejpam-6348	157	13	)	)	PUNCT
ejpam-6348	157	14	,	,	PUNCT
ejpam-6348	157	15	6348	6348	NUM
ejpam-6348	157	16	11	11	NUM
ejpam-6348	157	17	of	of	ADP
ejpam-6348	157	18	23	23	NUM
ejpam-6348	157	19	3	3	NUM
ejpam-6348	157	20	.	.	PUNCT
ejpam-6348	157	21	ahpqa	ahpqa	PROPN
ejpam-6348	157	22	proposed	propose	VERB
ejpam-6348	157	23	model	model	NOUN
ejpam-6348	157	24	3.1	3.1	NUM
ejpam-6348	157	25	.	.	PUNCT
ejpam-6348	158	1	problem	problem	NOUN
ejpam-6348	158	2	formulation	formulation	NOUN
ejpam-6348	158	3	hyperparameter	hyperparameter	NOUN
ejpam-6348	158	4	tuning	tuning	NOUN
ejpam-6348	158	5	is	be	AUX
ejpam-6348	158	6	formulated	formulate	VERB
ejpam-6348	158	7	as	as	ADP
ejpam-6348	158	8	an	an	DET
ejpam-6348	158	9	optimization	optimization	NOUN
ejpam-6348	158	10	problem	problem	NOUN
ejpam-6348	158	11	,	,	PUNCT
ejpam-6348	158	12	where	where	SCONJ
ejpam-6348	158	13	the	the	DET
ejpam-6348	158	14	objective	objective	ADJ
ejpam-6348	158	15	function	function	NOUN
ejpam-6348	158	16	f(θ	f(θ	PROPN
ejpam-6348	158	17	)	)	PUNCT
ejpam-6348	158	18	evaluates	evaluate	VERB
ejpam-6348	158	19	the	the	DET
ejpam-6348	158	20	model	model	NOUN
ejpam-6348	158	21	’s	’s	PART
ejpam-6348	158	22	performance	performance	NOUN
ejpam-6348	158	23	given	give	VERB
ejpam-6348	158	24	a	a	DET
ejpam-6348	158	25	hyperparameter	hyperparameter	NOUN
ejpam-6348	158	26	configuration	configuration	NOUN
ejpam-6348	158	27	θ	θ	PROPN
ejpam-6348	158	28	.	.	PUNCT
ejpam-6348	159	1	the	the	DET
ejpam-6348	159	2	goal	goal	NOUN
ejpam-6348	159	3	is	be	AUX
ejpam-6348	159	4	to	to	PART
ejpam-6348	159	5	find	find	VERB
ejpam-6348	159	6	the	the	DET
ejpam-6348	159	7	optimal	optimal	ADJ
ejpam-6348	159	8	hyperparameter	hyperparameter	NOUN
ejpam-6348	159	9	set	set	NOUN
ejpam-6348	159	10	:	:	PUNCT
ejpam-6348	159	11	θ∗	θ∗	NOUN
ejpam-6348	159	12	=	=	PUNCT
ejpam-6348	159	13	argmax	argmax	PROPN
ejpam-6348	159	14	θ∈θ	θ∈θ	NOUN
ejpam-6348	159	15	f(θ	f(θ	PROPN
ejpam-6348	159	16	)	)	PUNCT
ejpam-6348	159	17	,	,	PUNCT
ejpam-6348	159	18	(	(	PUNCT
ejpam-6348	159	19	1	1	X
ejpam-6348	159	20	)	)	PUNCT
ejpam-6348	159	21	where	where	SCONJ
ejpam-6348	159	22	θ	θ	PROPN
ejpam-6348	159	23	is	be	AUX
ejpam-6348	159	24	the	the	DET
ejpam-6348	159	25	hyperparameter	hyperparameter	NOUN
ejpam-6348	159	26	search	search	NOUN
ejpam-6348	159	27	space	space	NOUN
ejpam-6348	159	28	,	,	PUNCT
ejpam-6348	159	29	and	and	CCONJ
ejpam-6348	159	30	f(θ	f(θ	PROPN
ejpam-6348	159	31	)	)	PUNCT
ejpam-6348	159	32	represents	represent	VERB
ejpam-6348	159	33	model	model	NOUN
ejpam-6348	159	34	performance	performance	NOUN
ejpam-6348	159	35	(	(	PUNCT
ejpam-6348	159	36	e.g.	e.g.	ADJ
ejpam-6348	159	37	,	,	PUNCT
ejpam-6348	159	38	accuracy	accuracy	NOUN
ejpam-6348	159	39	,	,	PUNCT
ejpam-6348	159	40	f1	f1	NOUN
ejpam-6348	159	41	-	-	PUNCT
ejpam-6348	159	42	score	score	NOUN
ejpam-6348	159	43	,	,	PUNCT
ejpam-6348	159	44	or	or	CCONJ
ejpam-6348	159	45	validation	validation	NOUN
ejpam-6348	159	46	loss	loss	NOUN
ejpam-6348	159	47	)	)	PUNCT
ejpam-6348	159	48	.	.	PUNCT
ejpam-6348	160	1	3.2	3.2	NUM
ejpam-6348	160	2	.	.	PUNCT
ejpam-6348	160	3	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	160	4	framework	framework	NOUN
ejpam-6348	160	5	the	the	DET
ejpam-6348	160	6	proposed	propose	VERB
ejpam-6348	160	7	hyperheuristic	hyperheuristic	NOUN
ejpam-6348	160	8	-	-	PUNCT
ejpam-6348	160	9	based	base	VERB
ejpam-6348	160	10	hyperparameter	hyperparameter	NOUN
ejpam-6348	160	11	tuning	tune	VERB
ejpam-6348	160	12	framework	framework	NOUN
ejpam-6348	160	13	consists	consist	VERB
ejpam-6348	160	14	of	of	ADP
ejpam-6348	160	15	three	three	NUM
ejpam-6348	160	16	main	main	ADJ
ejpam-6348	160	17	components	component	NOUN
ejpam-6348	160	18	:	:	PUNCT
ejpam-6348	160	19	(	(	PUNCT
ejpam-6348	160	20	i	i	NOUN
ejpam-6348	160	21	)	)	PUNCT
ejpam-6348	160	22	a	a	DET
ejpam-6348	160	23	high	high	ADJ
ejpam-6348	160	24	-	-	PUNCT
ejpam-6348	160	25	level	level	NOUN
ejpam-6348	160	26	strategy	strategy	NOUN
ejpam-6348	160	27	selector	selector	NOUN
ejpam-6348	160	28	for	for	ADP
ejpam-6348	160	29	heuristic	heuristic	ADJ
ejpam-6348	160	30	selection	selection	NOUN
ejpam-6348	160	31	using	use	VERB
ejpam-6348	160	32	q	q	NOUN
ejpam-6348	160	33	-	-	PUNCT
ejpam-6348	160	34	learning	learning	NOUN
ejpam-6348	160	35	,	,	PUNCT
ejpam-6348	160	36	(	(	PUNCT
ejpam-6348	160	37	ii	ii	NOUN
ejpam-6348	160	38	)	)	PUNCT
ejpam-6348	160	39	a	a	DET
ejpam-6348	160	40	set	set	NOUN
ejpam-6348	160	41	of	of	ADP
ejpam-6348	160	42	low	low	ADJ
ejpam-6348	160	43	-	-	PUNCT
ejpam-6348	160	44	level	level	NOUN
ejpam-6348	160	45	heuristics	heuristic	NOUN
ejpam-6348	160	46	categorized	categorize	VERB
ejpam-6348	160	47	as	as	ADP
ejpam-6348	160	48	constructive	constructive	ADJ
ejpam-6348	160	49	,	,	PUNCT
ejpam-6348	160	50	improvement	improvement	NOUN
ejpam-6348	160	51	,	,	PUNCT
ejpam-6348	160	52	and	and	CCONJ
ejpam-6348	160	53	perturbation	perturbation	NOUN
ejpam-6348	160	54	heuristics	heuristic	NOUN
ejpam-6348	160	55	,	,	PUNCT
ejpam-6348	160	56	and	and	CCONJ
ejpam-6348	160	57	(	(	PUNCT
ejpam-6348	160	58	iii	iii	NOUN
ejpam-6348	160	59	)	)	PUNCT
ejpam-6348	160	60	an	an	DET
ejpam-6348	160	61	acceptance	acceptance	NOUN
ejpam-6348	160	62	criterion	criterion	NOUN
ejpam-6348	160	63	based	base	VERB
ejpam-6348	160	64	on	on	ADP
ejpam-6348	160	65	simulated	simulated	ADJ
ejpam-6348	160	66	annealing	annealing	NOUN
ejpam-6348	160	67	.	.	PUNCT
ejpam-6348	161	1	3.2.1	3.2.1	NUM
ejpam-6348	161	2	.	.	PUNCT
ejpam-6348	161	3	high	high	ADJ
ejpam-6348	161	4	-	-	PUNCT
ejpam-6348	161	5	level	level	NOUN
ejpam-6348	161	6	heuristic	heuristic	ADJ
ejpam-6348	161	7	selection	selection	NOUN
ejpam-6348	161	8	using	use	VERB
ejpam-6348	161	9	q	q	NOUN
ejpam-6348	161	10	-	-	PUNCT
ejpam-6348	161	11	learning	learning	NOUN
ejpam-6348	161	12	at	at	ADP
ejpam-6348	161	13	each	each	DET
ejpam-6348	161	14	iteration	iteration	NOUN
ejpam-6348	161	15	,	,	PUNCT
ejpam-6348	161	16	the	the	DET
ejpam-6348	161	17	high	high	ADJ
ejpam-6348	161	18	-	-	PUNCT
ejpam-6348	161	19	level	level	NOUN
ejpam-6348	161	20	strategy	strategy	NOUN
ejpam-6348	161	21	selector	selector	NOUN
ejpam-6348	161	22	determines	determine	VERB
ejpam-6348	161	23	the	the	DET
ejpam-6348	161	24	most	most	ADV
ejpam-6348	161	25	suitable	suitable	ADJ
ejpam-6348	161	26	low	low	ADJ
ejpam-6348	161	27	-	-	PUNCT
ejpam-6348	161	28	level	level	NOUN
ejpam-6348	161	29	heuristic	heuristic	NOUN
ejpam-6348	161	30	to	to	PART
ejpam-6348	161	31	apply	apply	VERB
ejpam-6348	161	32	.	.	PUNCT
ejpam-6348	162	1	this	this	DET
ejpam-6348	162	2	decision	decision	NOUN
ejpam-6348	162	3	is	be	AUX
ejpam-6348	162	4	made	make	VERB
ejpam-6348	162	5	using	use	VERB
ejpam-6348	162	6	a	a	DET
ejpam-6348	162	7	reinforcement	reinforcement	NOUN
ejpam-6348	162	8	learning	learning	NOUN
ejpam-6348	162	9	approach	approach	NOUN
ejpam-6348	162	10	,	,	PUNCT
ejpam-6348	162	11	where	where	SCONJ
ejpam-6348	162	12	heuristic	heuristic	ADJ
ejpam-6348	162	13	selection	selection	NOUN
ejpam-6348	162	14	follows	follow	VERB
ejpam-6348	162	15	a	a	DET
ejpam-6348	162	16	q	q	NOUN
ejpam-6348	162	17	-	-	PUNCT
ejpam-6348	162	18	learning	learn	VERB
ejpam-6348	162	19	model	model	NOUN
ejpam-6348	162	20	.	.	PUNCT
ejpam-6348	163	1	the	the	DET
ejpam-6348	163	2	action	action	NOUN
ejpam-6348	163	3	-	-	PUNCT
ejpam-6348	163	4	value	value	NOUN
ejpam-6348	163	5	function	function	NOUN
ejpam-6348	163	6	q(hi	q(hi	PROPN
ejpam-6348	163	7	)	)	PUNCT
ejpam-6348	163	8	for	for	ADP
ejpam-6348	163	9	heuristic	heuristic	NOUN
ejpam-6348	163	10	hi	hi	INTJ
ejpam-6348	163	11	is	be	AUX
ejpam-6348	163	12	updated	update	VERB
ejpam-6348	163	13	using	use	VERB
ejpam-6348	163	14	:	:	PUNCT
ejpam-6348	163	15	q(hi)←	q(hi)←	PROPN
ejpam-6348	163	16	q(hi	q(hi	PROPN
ejpam-6348	163	17	)	)	PUNCT
ejpam-6348	164	1	+	+	CCONJ
ejpam-6348	164	2	α	α	PROPN
ejpam-6348	164	3	(	(	PUNCT
ejpam-6348	164	4	rt	rt	PROPN
ejpam-6348	164	5	+	+	NUM
ejpam-6348	164	6	γmax	γmax	PROPN
ejpam-6348	164	7	hj	hj	PROPN
ejpam-6348	164	8	q(hj)−q(hi	q(hj)−q(hi	NOUN
ejpam-6348	164	9	)	)	PUNCT
ejpam-6348	164	10	)	)	PUNCT
ejpam-6348	164	11	,	,	PUNCT
ejpam-6348	164	12	(	(	PUNCT
ejpam-6348	164	13	2	2	X
ejpam-6348	164	14	)	)	PUNCT
ejpam-6348	164	15	where	where	SCONJ
ejpam-6348	164	16	:	:	PUNCT
ejpam-6348	164	17	•	•	X
ejpam-6348	164	18	α	α	NOUN
ejpam-6348	164	19	is	be	AUX
ejpam-6348	164	20	the	the	DET
ejpam-6348	164	21	learning	learning	NOUN
ejpam-6348	164	22	rate	rate	NOUN
ejpam-6348	164	23	.	.	PUNCT
ejpam-6348	165	1	•	•	NUM
ejpam-6348	165	2	rt	rt	PROPN
ejpam-6348	165	3	is	be	AUX
ejpam-6348	165	4	the	the	DET
ejpam-6348	165	5	reward	reward	NOUN
ejpam-6348	165	6	,	,	PUNCT
ejpam-6348	165	7	defined	define	VERB
ejpam-6348	165	8	as	as	ADP
ejpam-6348	165	9	the	the	DET
ejpam-6348	165	10	improvement	improvement	NOUN
ejpam-6348	165	11	in	in	ADP
ejpam-6348	165	12	model	model	NOUN
ejpam-6348	165	13	performance	performance	NOUN
ejpam-6348	165	14	after	after	ADP
ejpam-6348	165	15	applying	apply	VERB
ejpam-6348	165	16	heuristic	heuristic	ADJ
ejpam-6348	165	17	hi	hi	INTJ
ejpam-6348	165	18	.	.	PROPN
ejpam-6348	166	1	•	•	NOUN
ejpam-6348	166	2	γ	γ	X
ejpam-6348	166	3	is	be	AUX
ejpam-6348	166	4	the	the	DET
ejpam-6348	166	5	discount	discount	NOUN
ejpam-6348	166	6	factor	factor	NOUN
ejpam-6348	166	7	,	,	PUNCT
ejpam-6348	166	8	controlling	control	VERB
ejpam-6348	166	9	the	the	DET
ejpam-6348	166	10	importance	importance	NOUN
ejpam-6348	166	11	of	of	ADP
ejpam-6348	166	12	future	future	ADJ
ejpam-6348	166	13	rewards	reward	NOUN
ejpam-6348	166	14	.	.	PUNCT
ejpam-6348	167	1	the	the	DET
ejpam-6348	167	2	heuristic	heuristic	ADJ
ejpam-6348	167	3	selection	selection	NOUN
ejpam-6348	167	4	follows	follow	VERB
ejpam-6348	167	5	an	an	DET
ejpam-6348	167	6	ϵ-greedy	ϵ-greedy	NOUN
ejpam-6348	167	7	strategy	strategy	NOUN
ejpam-6348	167	8	,	,	PUNCT
ejpam-6348	167	9	allowing	allow	VERB
ejpam-6348	167	10	for	for	ADP
ejpam-6348	167	11	a	a	DET
ejpam-6348	167	12	balance	balance	NOUN
ejpam-6348	167	13	between	between	ADP
ejpam-6348	167	14	exploration	exploration	NOUN
ejpam-6348	167	15	and	and	CCONJ
ejpam-6348	167	16	exploitation	exploitation	NOUN
ejpam-6348	167	17	.	.	PUNCT
ejpam-6348	168	1	3.2.2	3.2.2	X
ejpam-6348	168	2	.	.	PUNCT
ejpam-6348	168	3	low	low	ADJ
ejpam-6348	168	4	-	-	PUNCT
ejpam-6348	168	5	level	level	NOUN
ejpam-6348	168	6	heuristics	heuristic	NOUN
ejpam-6348	168	7	the	the	DET
ejpam-6348	168	8	low	low	ADJ
ejpam-6348	168	9	-	-	PUNCT
ejpam-6348	168	10	level	level	NOUN
ejpam-6348	168	11	heuristics	heuristic	NOUN
ejpam-6348	168	12	operate	operate	VERB
ejpam-6348	168	13	directly	directly	ADV
ejpam-6348	168	14	on	on	ADP
ejpam-6348	168	15	hyperparameter	hyperparameter	NOUN
ejpam-6348	168	16	configurations	configuration	NOUN
ejpam-6348	168	17	and	and	CCONJ
ejpam-6348	168	18	are	be	AUX
ejpam-6348	168	19	classified	classify	VERB
ejpam-6348	168	20	into	into	ADP
ejpam-6348	168	21	three	three	NUM
ejpam-6348	168	22	categories	category	NOUN
ejpam-6348	168	23	:	:	PUNCT
ejpam-6348	168	24	k.	k.	PROPN
ejpam-6348	168	25	danach	danach	PROPN
ejpam-6348	168	26	,	,	PUNCT
ejpam-6348	168	27	w.	w.	PROPN
ejpam-6348	168	28	h.	h.	PROPN
ejpam-6348	168	29	f.	f.	PROPN
ejpam-6348	168	30	aly	aly	PROPN
ejpam-6348	168	31	/	/	SYM
ejpam-6348	168	32	eur	eur	PROPN
ejpam-6348	168	33	.	.	PUNCT
ejpam-6348	169	1	j.	j.	PROPN
ejpam-6348	169	2	pure	pure	PROPN
ejpam-6348	169	3	appl	appl	PROPN
ejpam-6348	169	4	.	.	PROPN
ejpam-6348	169	5	math	math	PROPN
ejpam-6348	169	6	,	,	PUNCT
ejpam-6348	169	7	18	18	NUM
ejpam-6348	169	8	(	(	PUNCT
ejpam-6348	169	9	3	3	NUM
ejpam-6348	169	10	)	)	PUNCT
ejpam-6348	169	11	(	(	PUNCT
ejpam-6348	169	12	2025	2025	NUM
ejpam-6348	169	13	)	)	PUNCT
ejpam-6348	169	14	,	,	PUNCT
ejpam-6348	169	15	6348	6348	NUM
ejpam-6348	169	16	12	12	NUM
ejpam-6348	169	17	of	of	ADP
ejpam-6348	169	18	23	23	NUM
ejpam-6348	169	19	•	•	NUM
ejpam-6348	169	20	constructive	constructive	ADJ
ejpam-6348	169	21	heuristics	heuristic	NOUN
ejpam-6348	169	22	(	(	PUNCT
ejpam-6348	169	23	hc	hc	NOUN
ejpam-6348	169	24	):	):	PUNCT
ejpam-6348	169	25	generate	generate	VERB
ejpam-6348	169	26	new	new	ADJ
ejpam-6348	169	27	hyperparameter	hyperparameter	NOUN
ejpam-6348	169	28	configurations	configuration	NOUN
ejpam-6348	169	29	from	from	ADP
ejpam-6348	169	30	scratch	scratch	NOUN
ejpam-6348	169	31	or	or	CCONJ
ejpam-6348	169	32	by	by	ADP
ejpam-6348	169	33	extending	extend	VERB
ejpam-6348	169	34	existing	exist	VERB
ejpam-6348	169	35	ones	one	NOUN
ejpam-6348	169	36	.	.	PUNCT
ejpam-6348	170	1	–	–	PUNCT
ejpam-6348	170	2	random	random	ADJ
ejpam-6348	170	3	sampling	sampling	NOUN
ejpam-6348	170	4	.	.	PUNCT
ejpam-6348	171	1	–	–	PUNCT
ejpam-6348	171	2	progressive	progressive	ADJ
ejpam-6348	171	3	parameter	parameter	NOUN
ejpam-6348	171	4	refinement	refinement	NOUN
ejpam-6348	171	5	.	.	PUNCT
ejpam-6348	172	1	•	•	NUM
ejpam-6348	172	2	improvement	improvement	NOUN
ejpam-6348	172	3	heuristics	heuristic	NOUN
ejpam-6348	172	4	(	(	PUNCT
ejpam-6348	172	5	hi	hi	INTJ
ejpam-6348	172	6	):	):	PUNCT
ejpam-6348	172	7	modify	modify	VERB
ejpam-6348	172	8	existing	exist	VERB
ejpam-6348	172	9	configurations	configuration	NOUN
ejpam-6348	172	10	to	to	PART
ejpam-6348	172	11	enhance	enhance	VERB
ejpam-6348	172	12	model	model	NOUN
ejpam-6348	172	13	performance	performance	NOUN
ejpam-6348	172	14	.	.	PUNCT
ejpam-6348	173	1	–	–	PUNCT
ejpam-6348	173	2	local	local	ADJ
ejpam-6348	173	3	search	search	NOUN
ejpam-6348	173	4	-	-	PUNCT
ejpam-6348	173	5	based	base	VERB
ejpam-6348	173	6	fine	fine	ADV
ejpam-6348	173	7	-	-	PUNCT
ejpam-6348	173	8	tuning	tuning	NOUN
ejpam-6348	173	9	.	.	PUNCT
ejpam-6348	174	1	–	–	PUNCT
ejpam-6348	174	2	gradient	gradient	NOUN
ejpam-6348	174	3	-	-	PUNCT
ejpam-6348	174	4	based	base	VERB
ejpam-6348	174	5	tuning	tuning	NOUN
ejpam-6348	174	6	.	.	PUNCT
ejpam-6348	175	1	•	•	NUM
ejpam-6348	175	2	perturbation	perturbation	NOUN
ejpam-6348	175	3	heuristics	heuristic	NOUN
ejpam-6348	175	4	(	(	PUNCT
ejpam-6348	175	5	hp	hp	NOUN
ejpam-6348	175	6	):	):	PUNCT
ejpam-6348	175	7	introduce	introduce	NOUN
ejpam-6348	175	8	controlled	control	VERB
ejpam-6348	175	9	randomness	randomness	NOUN
ejpam-6348	175	10	to	to	PART
ejpam-6348	175	11	escape	escape	VERB
ejpam-6348	175	12	local	local	ADJ
ejpam-6348	175	13	optima	optima	NOUN
ejpam-6348	175	14	.	.	PUNCT
ejpam-6348	176	1	–	–	PUNCT
ejpam-6348	176	2	hyperparameter	hyperparameter	NOUN
ejpam-6348	176	3	mutation	mutation	NOUN
ejpam-6348	176	4	(	(	PUNCT
ejpam-6348	176	5	random	random	ADJ
ejpam-6348	176	6	noise	noise	NOUN
ejpam-6348	176	7	addition	addition	NOUN
ejpam-6348	176	8	)	)	PUNCT
ejpam-6348	176	9	.	.	PUNCT
ejpam-6348	177	1	–	–	PUNCT
ejpam-6348	177	2	swap	swap	NOUN
ejpam-6348	177	3	-	-	PUNCT
ejpam-6348	177	4	based	base	VERB
ejpam-6348	177	5	perturbation	perturbation	NOUN
ejpam-6348	177	6	.	.	PUNCT
ejpam-6348	178	1	each	each	DET
ejpam-6348	178	2	iteration	iteration	NOUN
ejpam-6348	178	3	applies	apply	VERB
ejpam-6348	178	4	one	one	NUM
ejpam-6348	178	5	heuristic	heuristic	NOUN
ejpam-6348	178	6	from	from	ADP
ejpam-6348	178	7	hc	hc	PROPN
ejpam-6348	178	8	∪hi	∪hi	NOUN
ejpam-6348	178	9	∪hp	∪hp	NOUN
ejpam-6348	178	10	as	as	SCONJ
ejpam-6348	178	11	selected	select	VERB
ejpam-6348	178	12	by	by	ADP
ejpam-6348	178	13	the	the	DET
ejpam-6348	178	14	q	q	NOUN
ejpam-6348	178	15	-	-	PUNCT
ejpam-6348	178	16	learning	learn	VERB
ejpam-6348	178	17	model	model	NOUN
ejpam-6348	178	18	.	.	PUNCT
ejpam-6348	179	1	3.2.3	3.2.3	X
ejpam-6348	179	2	.	.	PUNCT
ejpam-6348	179	3	acceptance	acceptance	NOUN
ejpam-6348	179	4	criteria	criterion	NOUN
ejpam-6348	179	5	based	base	VERB
ejpam-6348	179	6	on	on	ADP
ejpam-6348	179	7	simulated	simulated	ADJ
ejpam-6348	179	8	annealing	anneal	VERB
ejpam-6348	179	9	the	the	DET
ejpam-6348	179	10	acceptance	acceptance	NOUN
ejpam-6348	179	11	of	of	ADP
ejpam-6348	179	12	a	a	DET
ejpam-6348	179	13	newly	newly	ADV
ejpam-6348	179	14	generated	generate	VERB
ejpam-6348	179	15	hyperparameter	hyperparameter	NOUN
ejpam-6348	179	16	configuration	configuration	NOUN
ejpam-6348	179	17	θ′	θ′	NOUN
ejpam-6348	179	18	is	be	AUX
ejpam-6348	179	19	determined	determine	VERB
ejpam-6348	179	20	by	by	ADP
ejpam-6348	179	21	a	a	DET
ejpam-6348	179	22	simulated	simulate	VERB
ejpam-6348	179	23	annealing	annealing	NOUN
ejpam-6348	179	24	-	-	PUNCT
ejpam-6348	179	25	inspired	inspire	VERB
ejpam-6348	179	26	probability	probability	NOUN
ejpam-6348	179	27	function	function	NOUN
ejpam-6348	179	28	:	:	PUNCT
ejpam-6348	179	29	paccept	paccept	PROPN
ejpam-6348	179	30	=	=	PUNCT
ejpam-6348	179	31	{	{	PUNCT
ejpam-6348	179	32	1	1	NUM
ejpam-6348	179	33	,	,	PUNCT
ejpam-6348	179	34	if	if	SCONJ
ejpam-6348	179	35	f(θ′	f(θ′	NUM
ejpam-6348	179	36	)	)	PUNCT
ejpam-6348	179	37	≥	≥	NOUN
ejpam-6348	179	38	f(θ	f(θ	NOUN
ejpam-6348	179	39	)	)	PUNCT
ejpam-6348	179	40	exp	exp	NOUN
ejpam-6348	179	41	(	(	PUNCT
ejpam-6348	179	42	f(θ′)−f(θ	f(θ′)−f(θ	PROPN
ejpam-6348	179	43	)	)	PUNCT
ejpam-6348	179	44	t	t	NOUN
ejpam-6348	179	45	)	)	PUNCT
ejpam-6348	179	46	,	,	PUNCT
ejpam-6348	179	47	otherwise	otherwise	ADV
ejpam-6348	179	48	(	(	PUNCT
ejpam-6348	179	49	3	3	X
ejpam-6348	179	50	)	)	PUNCT
ejpam-6348	179	51	where	where	SCONJ
ejpam-6348	179	52	t	t	PROPN
ejpam-6348	179	53	is	be	AUX
ejpam-6348	179	54	a	a	DET
ejpam-6348	179	55	temperature	temperature	NOUN
ejpam-6348	179	56	parameter	parameter	NOUN
ejpam-6348	179	57	that	that	PRON
ejpam-6348	179	58	decreases	decrease	VERB
ejpam-6348	179	59	over	over	ADP
ejpam-6348	179	60	time	time	NOUN
ejpam-6348	179	61	,	,	PUNCT
ejpam-6348	179	62	encouraging	encourage	VERB
ejpam-6348	179	63	exploration	exploration	NOUN
ejpam-6348	179	64	in	in	ADP
ejpam-6348	179	65	early	early	ADJ
ejpam-6348	179	66	stages	stage	NOUN
ejpam-6348	179	67	and	and	CCONJ
ejpam-6348	179	68	exploitation	exploitation	NOUN
ejpam-6348	179	69	in	in	ADP
ejpam-6348	179	70	later	later	ADJ
ejpam-6348	179	71	stages	stage	NOUN
ejpam-6348	179	72	.	.	PUNCT
ejpam-6348	180	1	3.3	3.3	NUM
ejpam-6348	180	2	.	.	PUNCT
ejpam-6348	181	1	termination	termination	NOUN
ejpam-6348	181	2	criteria	criteria	VERB
ejpam-6348	181	3	the	the	DET
ejpam-6348	181	4	optimization	optimization	NOUN
ejpam-6348	181	5	process	process	NOUN
ejpam-6348	181	6	terminates	terminate	VERB
ejpam-6348	181	7	when	when	SCONJ
ejpam-6348	181	8	any	any	PRON
ejpam-6348	181	9	of	of	ADP
ejpam-6348	181	10	the	the	DET
ejpam-6348	181	11	following	follow	VERB
ejpam-6348	181	12	conditions	condition	NOUN
ejpam-6348	181	13	are	be	AUX
ejpam-6348	181	14	met	meet	VERB
ejpam-6348	181	15	:	:	PUNCT
ejpam-6348	181	16	•	•	X
ejpam-6348	181	17	no	no	DET
ejpam-6348	181	18	improvement	improvement	NOUN
ejpam-6348	181	19	in	in	ADP
ejpam-6348	181	20	model	model	NOUN
ejpam-6348	181	21	performance	performance	NOUN
ejpam-6348	181	22	is	be	AUX
ejpam-6348	181	23	observed	observe	VERB
ejpam-6348	181	24	for	for	ADP
ejpam-6348	181	25	n	n	DET
ejpam-6348	181	26	consecutive	consecutive	ADJ
ejpam-6348	181	27	iterations	iteration	NOUN
ejpam-6348	181	28	:	:	PUNCT
ejpam-6348	181	29	max	max	PROPN
ejpam-6348	181	30	t−n≤i≤t	t−n≤i≤t	PROPN
ejpam-6348	181	31	f(θi)−	f(θi)−	VERB
ejpam-6348	181	32	f(θt−n	f(θt−n	NOUN
ejpam-6348	181	33	)	)	PUNCT
ejpam-6348	181	34	<	<	X
ejpam-6348	181	35	ϵ.	ϵ.	NOUN
ejpam-6348	181	36	(	(	PUNCT
ejpam-6348	181	37	4	4	NUM
ejpam-6348	181	38	)	)	PUNCT
ejpam-6348	181	39	•	•	NOUN
ejpam-6348	181	40	a	a	DET
ejpam-6348	181	41	maximum	maximum	ADJ
ejpam-6348	181	42	number	number	NOUN
ejpam-6348	181	43	of	of	ADP
ejpam-6348	181	44	evaluations	evaluation	NOUN
ejpam-6348	181	45	tmax	tmax	ADV
ejpam-6348	181	46	is	be	AUX
ejpam-6348	181	47	reached	reach	VERB
ejpam-6348	181	48	.	.	PUNCT
ejpam-6348	182	1	•	•	NUM
ejpam-6348	182	2	computational	computational	ADJ
ejpam-6348	182	3	budget	budget	NOUN
ejpam-6348	182	4	constraints	constraint	NOUN
ejpam-6348	182	5	(	(	PUNCT
ejpam-6348	182	6	e.g.	e.g.	ADV
ejpam-6348	182	7	,	,	PUNCT
ejpam-6348	182	8	time	time	NOUN
ejpam-6348	182	9	limit	limit	NOUN
ejpam-6348	182	10	)	)	PUNCT
ejpam-6348	182	11	are	be	AUX
ejpam-6348	182	12	exceeded	exceed	VERB
ejpam-6348	182	13	.	.	PUNCT
ejpam-6348	183	1	k.	k.	PROPN
ejpam-6348	183	2	danach	danach	PROPN
ejpam-6348	183	3	,	,	PUNCT
ejpam-6348	183	4	w.	w.	PROPN
ejpam-6348	183	5	h.	h.	PROPN
ejpam-6348	183	6	f.	f.	PROPN
ejpam-6348	183	7	aly	aly	PROPN
ejpam-6348	183	8	/	/	SYM
ejpam-6348	183	9	eur	eur	PROPN
ejpam-6348	183	10	.	.	PUNCT
ejpam-6348	184	1	j.	j.	PROPN
ejpam-6348	184	2	pure	pure	PROPN
ejpam-6348	184	3	appl	appl	PROPN
ejpam-6348	184	4	.	.	PROPN
ejpam-6348	184	5	math	math	PROPN
ejpam-6348	184	6	,	,	PUNCT
ejpam-6348	184	7	18	18	NUM
ejpam-6348	184	8	(	(	PUNCT
ejpam-6348	184	9	3	3	NUM
ejpam-6348	184	10	)	)	PUNCT
ejpam-6348	184	11	(	(	PUNCT
ejpam-6348	184	12	2025	2025	NUM
ejpam-6348	184	13	)	)	PUNCT
ejpam-6348	184	14	,	,	PUNCT
ejpam-6348	184	15	6348	6348	NUM
ejpam-6348	184	16	13	13	NUM
ejpam-6348	184	17	of	of	ADP
ejpam-6348	184	18	23	23	NUM
ejpam-6348	184	19	3.4	3.4	NUM
ejpam-6348	184	20	.	.	PUNCT
ejpam-6348	185	1	computational	computational	ADJ
ejpam-6348	185	2	complexity	complexity	NOUN
ejpam-6348	185	3	and	and	CCONJ
ejpam-6348	185	4	scalability	scalability	NOUN
ejpam-6348	185	5	the	the	DET
ejpam-6348	185	6	computational	computational	ADJ
ejpam-6348	185	7	complexity	complexity	NOUN
ejpam-6348	185	8	of	of	ADP
ejpam-6348	185	9	the	the	DET
ejpam-6348	185	10	framework	framework	NOUN
ejpam-6348	185	11	depends	depend	VERB
ejpam-6348	185	12	on	on	ADP
ejpam-6348	185	13	:	:	PUNCT
ejpam-6348	185	14	•	•	ADP
ejpam-6348	185	15	the	the	DET
ejpam-6348	185	16	number	number	NOUN
ejpam-6348	185	17	of	of	ADP
ejpam-6348	185	18	hyperparameter	hyperparameter	NOUN
ejpam-6348	185	19	configurations	configuration	NOUN
ejpam-6348	185	20	evaluated	evaluate	VERB
ejpam-6348	185	21	(	(	PUNCT
ejpam-6348	185	22	n	n	CCONJ
ejpam-6348	185	23	)	)	PUNCT
ejpam-6348	185	24	.	.	PUNCT
ejpam-6348	186	1	•	•	NOUN
ejpam-6348	186	2	the	the	DET
ejpam-6348	186	3	number	number	NOUN
ejpam-6348	186	4	of	of	ADP
ejpam-6348	186	5	heuristics	heuristic	NOUN
ejpam-6348	186	6	(	(	PUNCT
ejpam-6348	186	7	m	m	NOUN
ejpam-6348	186	8	)	)	PUNCT
ejpam-6348	186	9	.	.	PUNCT
ejpam-6348	187	1	•	•	NOUN
ejpam-6348	187	2	the	the	DET
ejpam-6348	187	3	number	number	NOUN
ejpam-6348	187	4	of	of	ADP
ejpam-6348	187	5	training	training	NOUN
ejpam-6348	187	6	iterations	iteration	NOUN
ejpam-6348	187	7	(	(	PUNCT
ejpam-6348	187	8	t	t	NOUN
ejpam-6348	187	9	)	)	PUNCT
ejpam-6348	187	10	.	.	PUNCT
ejpam-6348	188	1	in	in	ADP
ejpam-6348	188	2	the	the	DET
ejpam-6348	188	3	worst	bad	ADJ
ejpam-6348	188	4	case	case	NOUN
ejpam-6348	188	5	,	,	PUNCT
ejpam-6348	188	6	the	the	DET
ejpam-6348	188	7	complexity	complexity	NOUN
ejpam-6348	188	8	is	be	AUX
ejpam-6348	188	9	:	:	PUNCT
ejpam-6348	188	10	o(m	o(m	PROPN
ejpam-6348	188	11	·	·	PUNCT
ejpam-6348	188	12	n	n	PROPN
ejpam-6348	188	13	·	·	PUNCT
ejpam-6348	188	14	t	t	NOUN
ejpam-6348	188	15	)	)	PUNCT
ejpam-6348	188	16	.	.	PUNCT
ejpam-6348	189	1	(	(	PUNCT
ejpam-6348	189	2	5	5	X
ejpam-6348	189	3	)	)	PUNCT
ejpam-6348	189	4	however	however	ADV
ejpam-6348	189	5	,	,	PUNCT
ejpam-6348	189	6	the	the	DET
ejpam-6348	189	7	use	use	NOUN
ejpam-6348	189	8	of	of	ADP
ejpam-6348	189	9	q	q	NOUN
ejpam-6348	189	10	-	-	PUNCT
ejpam-6348	189	11	learning	learning	NOUN
ejpam-6348	189	12	for	for	ADP
ejpam-6348	189	13	heuristic	heuristic	ADJ
ejpam-6348	189	14	selection	selection	NOUN
ejpam-6348	189	15	and	and	CCONJ
ejpam-6348	189	16	simulated	simulate	VERB
ejpam-6348	189	17	annealing	annealing	NOUN
ejpam-6348	189	18	for	for	ADP
ejpam-6348	189	19	acceptance	acceptance	NOUN
ejpam-6348	189	20	significantly	significantly	ADV
ejpam-6348	189	21	reduces	reduce	VERB
ejpam-6348	189	22	redundant	redundant	ADJ
ejpam-6348	189	23	evaluations	evaluation	NOUN
ejpam-6348	189	24	,	,	PUNCT
ejpam-6348	189	25	improving	improve	VERB
ejpam-6348	189	26	efficiency	efficiency	NOUN
ejpam-6348	189	27	.	.	PUNCT
ejpam-6348	190	1	3.5	3.5	NUM
ejpam-6348	190	2	.	.	PUNCT
ejpam-6348	191	1	experimental	experimental	ADJ
ejpam-6348	191	2	evaluation	evaluation	NOUN
ejpam-6348	191	3	the	the	DET
ejpam-6348	191	4	proposed	propose	VERB
ejpam-6348	191	5	approach	approach	NOUN
ejpam-6348	191	6	will	will	AUX
ejpam-6348	191	7	be	be	AUX
ejpam-6348	191	8	tested	test	VERB
ejpam-6348	191	9	on	on	ADP
ejpam-6348	191	10	various	various	ADJ
ejpam-6348	191	11	machine	machine	NOUN
ejpam-6348	191	12	learning	learning	NOUN
ejpam-6348	191	13	models	model	NOUN
ejpam-6348	191	14	,	,	PUNCT
ejpam-6348	191	15	including	include	VERB
ejpam-6348	191	16	deep	deep	ADJ
ejpam-6348	191	17	learning	learning	NOUN
ejpam-6348	191	18	and	and	CCONJ
ejpam-6348	191	19	ensemble	ensemble	ADJ
ejpam-6348	191	20	learning	learning	NOUN
ejpam-6348	191	21	,	,	PUNCT
ejpam-6348	191	22	using	use	VERB
ejpam-6348	191	23	benchmark	benchmark	ADJ
ejpam-6348	191	24	datasets	dataset	NOUN
ejpam-6348	191	25	.	.	PUNCT
ejpam-6348	192	1	performance	performance	NOUN
ejpam-6348	192	2	will	will	AUX
ejpam-6348	192	3	be	be	AUX
ejpam-6348	192	4	compared	compare	VERB
ejpam-6348	192	5	against	against	ADP
ejpam-6348	192	6	traditional	traditional	ADJ
ejpam-6348	192	7	hyperparameter	hyperparameter	NOUN
ejpam-6348	192	8	tuning	tune	VERB
ejpam-6348	192	9	methods	method	NOUN
ejpam-6348	192	10	using	use	VERB
ejpam-6348	192	11	metrics	metric	NOUN
ejpam-6348	192	12	such	such	ADJ
ejpam-6348	192	13	as	as	ADP
ejpam-6348	192	14	:	:	PUNCT
ejpam-6348	192	15	∆f	∆f	PROPN
ejpam-6348	192	16	=	=	PUNCT
ejpam-6348	192	17	fahpqa	fahpqa	NOUN
ejpam-6348	192	18	−	−	PROPN
ejpam-6348	192	19	fbaseline	fbaseline	NOUN
ejpam-6348	192	20	.	.	PUNCT
ejpam-6348	193	1	(	(	PUNCT
ejpam-6348	193	2	6	6	X
ejpam-6348	193	3	)	)	PUNCT
ejpam-6348	193	4	statistical	statistical	ADJ
ejpam-6348	193	5	significance	significance	NOUN
ejpam-6348	193	6	will	will	AUX
ejpam-6348	193	7	be	be	AUX
ejpam-6348	193	8	evaluated	evaluate	VERB
ejpam-6348	193	9	using	use	VERB
ejpam-6348	193	10	non	non	ADJ
ejpam-6348	193	11	-	-	ADJ
ejpam-6348	193	12	parametric	parametric	ADJ
ejpam-6348	193	13	tests	test	NOUN
ejpam-6348	193	14	(	(	PUNCT
ejpam-6348	193	15	e.g.	e.g.	ADV
ejpam-6348	193	16	,	,	PUNCT
ejpam-6348	193	17	wilcoxon	wilcoxon	VERB
ejpam-6348	193	18	signed	sign	VERB
ejpam-6348	193	19	-	-	PUNCT
ejpam-6348	193	20	rank	rank	NOUN
ejpam-6348	193	21	test	test	NOUN
ejpam-6348	193	22	)	)	PUNCT
ejpam-6348	193	23	.	.	PUNCT
ejpam-6348	194	1	4	4	X
ejpam-6348	194	2	.	.	X
ejpam-6348	194	3	experimental	experimental	ADJ
ejpam-6348	194	4	evaluation	evaluation	NOUN
ejpam-6348	194	5	and	and	CCONJ
ejpam-6348	194	6	comparative	comparative	ADJ
ejpam-6348	194	7	results	result	NOUN
ejpam-6348	194	8	4.1	4.1	NUM
ejpam-6348	194	9	.	.	PUNCT
ejpam-6348	194	10	experimental	experimental	ADJ
ejpam-6348	194	11	setup	setup	NOUN
ejpam-6348	194	12	the	the	DET
ejpam-6348	194	13	ahpqaframework	ahpqaframework	NOUN
ejpam-6348	194	14	utilizes	utilize	VERB
ejpam-6348	194	15	hyperheuristic	hyperheuristic	NOUN
ejpam-6348	194	16	-	-	PUNCT
ejpam-6348	194	17	based	base	VERB
ejpam-6348	194	18	hyperparameter	hyperparameter	NOUN
ejpam-6348	194	19	tuning	tune	VERB
ejpam-6348	194	20	framework	framework	NOUN
ejpam-6348	194	21	.	.	PUNCT
ejpam-6348	195	1	the	the	DET
ejpam-6348	195	2	proposed	propose	VERB
ejpam-6348	195	3	framework	framework	NOUN
ejpam-6348	195	4	was	be	AUX
ejpam-6348	195	5	implemented	implement	VERB
ejpam-6348	195	6	and	and	CCONJ
ejpam-6348	195	7	evaluated	evaluate	VERB
ejpam-6348	195	8	using	use	VERB
ejpam-6348	195	9	multiple	multiple	ADJ
ejpam-6348	195	10	benchmark	benchmark	ADJ
ejpam-6348	195	11	machine	machine	NOUN
ejpam-6348	195	12	learning	learning	NOUN
ejpam-6348	195	13	models	model	NOUN
ejpam-6348	195	14	.	.	PUNCT
ejpam-6348	196	1	the	the	DET
ejpam-6348	196	2	experiments	experiment	NOUN
ejpam-6348	196	3	were	be	AUX
ejpam-6348	196	4	conducted	conduct	VERB
ejpam-6348	196	5	on	on	ADP
ejpam-6348	196	6	a	a	DET
ejpam-6348	196	7	system	system	NOUN
ejpam-6348	196	8	with	with	ADP
ejpam-6348	196	9	an	an	DET
ejpam-6348	196	10	intel	intel	PROPN
ejpam-6348	196	11	core	core	NOUN
ejpam-6348	196	12	i9	i9	NOUN
ejpam-6348	196	13	processor	processor	NOUN
ejpam-6348	196	14	,	,	PUNCT
ejpam-6348	196	15	64gbram	64gbram	NUM
ejpam-6348	196	16	,	,	PUNCT
ejpam-6348	196	17	and	and	CCONJ
ejpam-6348	196	18	an	an	DET
ejpam-6348	196	19	nvidia	nvidia	PROPN
ejpam-6348	196	20	rtx	rtx	PROPN
ejpam-6348	196	21	3090	3090	NUM
ejpam-6348	196	22	gpu	gpu	NOUN
ejpam-6348	196	23	.	.	PUNCT
ejpam-6348	197	1	the	the	DET
ejpam-6348	197	2	following	follow	VERB
ejpam-6348	197	3	machine	machine	NOUN
ejpam-6348	197	4	learning	learning	NOUN
ejpam-6348	197	5	models	model	NOUN
ejpam-6348	197	6	were	be	AUX
ejpam-6348	197	7	selected	select	VERB
ejpam-6348	197	8	for	for	ADP
ejpam-6348	197	9	evaluation	evaluation	NOUN
ejpam-6348	197	10	:	:	PUNCT
ejpam-6348	197	11	•	•	NUM
ejpam-6348	197	12	deep	deep	ADJ
ejpam-6348	197	13	learning	learning	NOUN
ejpam-6348	197	14	models	model	NOUN
ejpam-6348	197	15	:	:	PUNCT
ejpam-6348	197	16	convolutional	convolutional	ADJ
ejpam-6348	197	17	neural	neural	ADJ
ejpam-6348	197	18	networks	network	NOUN
ejpam-6348	197	19	(	(	PUNCT
ejpam-6348	197	20	cnn	cnn	PROPN
ejpam-6348	197	21	)	)	PUNCT
ejpam-6348	197	22	,	,	PUNCT
ejpam-6348	197	23	long	long	ADV
ejpam-6348	197	24	shortterm	shortterm	PROPN
ejpam-6348	197	25	memory	memory	NOUN
ejpam-6348	197	26	(	(	PUNCT
ejpam-6348	197	27	lstm	lstm	NOUN
ejpam-6348	197	28	)	)	PUNCT
ejpam-6348	197	29	.	.	PUNCT
ejpam-6348	198	1	•	•	NUM
ejpam-6348	198	2	ensemble	ensemble	ADJ
ejpam-6348	198	3	learning	learning	NOUN
ejpam-6348	198	4	methods	method	NOUN
ejpam-6348	198	5	:	:	PUNCT
ejpam-6348	198	6	random	random	ADJ
ejpam-6348	198	7	forest	forest	NOUN
ejpam-6348	198	8	(	(	PUNCT
ejpam-6348	198	9	rf	rf	NOUN
ejpam-6348	198	10	)	)	PUNCT
ejpam-6348	198	11	,	,	PUNCT
ejpam-6348	198	12	xgboost	xgboost	X
ejpam-6348	198	13	.	.	PUNCT
ejpam-6348	199	1	•	•	NUM
ejpam-6348	199	2	supervised	supervised	ADJ
ejpam-6348	199	3	learning	learning	NOUN
ejpam-6348	199	4	algorithms	algorithm	NOUN
ejpam-6348	199	5	:	:	PUNCT
ejpam-6348	199	6	support	support	NOUN
ejpam-6348	199	7	vector	vector	NOUN
ejpam-6348	199	8	machine	machine	NOUN
ejpam-6348	199	9	(	(	PUNCT
ejpam-6348	199	10	svm	svm	PROPN
ejpam-6348	199	11	)	)	PUNCT
ejpam-6348	199	12	,	,	PUNCT
ejpam-6348	199	13	k	k	X
ejpam-6348	199	14	-	-	PUNCT
ejpam-6348	199	15	nearest	near	ADJ
ejpam-6348	199	16	neighbors	neighbor	NOUN
ejpam-6348	199	17	(	(	PUNCT
ejpam-6348	199	18	k	k	X
ejpam-6348	199	19	-	-	PUNCT
ejpam-6348	199	20	nn	nn	NOUN
ejpam-6348	199	21	)	)	PUNCT
ejpam-6348	199	22	.	.	PUNCT
ejpam-6348	200	1	the	the	DET
ejpam-6348	200	2	dataset	dataset	NOUN
ejpam-6348	200	3	selection	selection	NOUN
ejpam-6348	200	4	was	be	AUX
ejpam-6348	200	5	based	base	VERB
ejpam-6348	200	6	on	on	ADP
ejpam-6348	200	7	standard	standard	ADJ
ejpam-6348	200	8	machine	machine	NOUN
ejpam-6348	200	9	learning	learn	VERB
ejpam-6348	200	10	benchmark	benchmark	NOUN
ejpam-6348	200	11	datasets	dataset	NOUN
ejpam-6348	200	12	,	,	PUNCT
ejpam-6348	200	13	including	include	VERB
ejpam-6348	200	14	cifar-10	cifar-10	PROPN
ejpam-6348	200	15	,	,	PUNCT
ejpam-6348	200	16	mnist	mnist	NOUN
ejpam-6348	200	17	,	,	PUNCT
ejpam-6348	200	18	uci	uci	PROPN
ejpam-6348	200	19	credit	credit	NOUN
ejpam-6348	200	20	card	card	NOUN
ejpam-6348	200	21	fraud	fraud	NOUN
ejpam-6348	200	22	,	,	PUNCT
ejpam-6348	200	23	and	and	CCONJ
ejpam-6348	200	24	the	the	DET
ejpam-6348	200	25	kaggle	kaggle	ADJ
ejpam-6348	200	26	healthcare	healthcare	PROPN
ejpam-6348	200	27	dataset	dataset	NOUN
ejpam-6348	200	28	.	.	PUNCT
ejpam-6348	201	1	each	each	DET
ejpam-6348	201	2	dataset	dataset	NOUN
ejpam-6348	201	3	was	be	AUX
ejpam-6348	201	4	preprocessed	preprocesse	VERB
ejpam-6348	201	5	and	and	CCONJ
ejpam-6348	201	6	split	split	VERB
ejpam-6348	201	7	into	into	ADP
ejpam-6348	201	8	training	training	NOUN
ejpam-6348	201	9	(	(	PUNCT
ejpam-6348	201	10	80	80	NUM
ejpam-6348	201	11	%	%	NOUN
ejpam-6348	201	12	)	)	PUNCT
ejpam-6348	201	13	and	and	CCONJ
ejpam-6348	201	14	validation	validation	NOUN
ejpam-6348	201	15	(	(	PUNCT
ejpam-6348	201	16	20	20	NUM
ejpam-6348	201	17	%	%	NOUN
ejpam-6348	201	18	)	)	PUNCT
ejpam-6348	201	19	sets	set	NOUN
ejpam-6348	201	20	.	.	PUNCT
ejpam-6348	202	1	k.	k.	PROPN
ejpam-6348	202	2	danach	danach	PROPN
ejpam-6348	202	3	,	,	PUNCT
ejpam-6348	202	4	w.	w.	PROPN
ejpam-6348	202	5	h.	h.	PROPN
ejpam-6348	202	6	f.	f.	PROPN
ejpam-6348	202	7	aly	aly	PROPN
ejpam-6348	202	8	/	/	SYM
ejpam-6348	202	9	eur	eur	PROPN
ejpam-6348	202	10	.	.	PUNCT
ejpam-6348	203	1	j.	j.	PROPN
ejpam-6348	203	2	pure	pure	PROPN
ejpam-6348	203	3	appl	appl	PROPN
ejpam-6348	203	4	.	.	PROPN
ejpam-6348	203	5	math	math	PROPN
ejpam-6348	203	6	,	,	PUNCT
ejpam-6348	203	7	18	18	NUM
ejpam-6348	203	8	(	(	PUNCT
ejpam-6348	203	9	3	3	NUM
ejpam-6348	203	10	)	)	PUNCT
ejpam-6348	203	11	(	(	PUNCT
ejpam-6348	203	12	2025	2025	NUM
ejpam-6348	203	13	)	)	PUNCT
ejpam-6348	203	14	,	,	PUNCT
ejpam-6348	203	15	6348	6348	NUM
ejpam-6348	203	16	14	14	NUM
ejpam-6348	203	17	of	of	ADP
ejpam-6348	203	18	23	23	NUM
ejpam-6348	203	19	4.2	4.2	NUM
ejpam-6348	203	20	.	.	PUNCT
ejpam-6348	204	1	evaluation	evaluation	NOUN
ejpam-6348	204	2	metrics	metric	NOUN
ejpam-6348	204	3	to	to	PART
ejpam-6348	204	4	assess	assess	VERB
ejpam-6348	204	5	the	the	DET
ejpam-6348	204	6	effectiveness	effectiveness	NOUN
ejpam-6348	204	7	of	of	ADP
ejpam-6348	204	8	the	the	DET
ejpam-6348	204	9	proposed	propose	VERB
ejpam-6348	204	10	framework	framework	NOUN
ejpam-6348	204	11	,	,	PUNCT
ejpam-6348	204	12	the	the	DET
ejpam-6348	204	13	following	follow	VERB
ejpam-6348	204	14	evaluation	evaluation	NOUN
ejpam-6348	204	15	metrics	metric	NOUN
ejpam-6348	204	16	were	be	AUX
ejpam-6348	204	17	considered	consider	VERB
ejpam-6348	204	18	:	:	PUNCT
ejpam-6348	204	19	•	•	NUM
ejpam-6348	204	20	model	model	NOUN
ejpam-6348	204	21	performance	performance	NOUN
ejpam-6348	204	22	metrics	metric	NOUN
ejpam-6348	204	23	:	:	PUNCT
ejpam-6348	204	24	accuracy	accuracy	NOUN
ejpam-6348	204	25	,	,	PUNCT
ejpam-6348	204	26	precision	precision	NOUN
ejpam-6348	204	27	,	,	PUNCT
ejpam-6348	204	28	recall	recall	NOUN
ejpam-6348	204	29	,	,	PUNCT
ejpam-6348	204	30	f1	f1	NOUN
ejpam-6348	204	31	-	-	PUNCT
ejpam-6348	204	32	score	score	NOUN
ejpam-6348	204	33	.	.	PUNCT
ejpam-6348	205	1	•	•	NUM
ejpam-6348	205	2	computational	computational	ADJ
ejpam-6348	205	3	efficiency	efficiency	NOUN
ejpam-6348	205	4	:	:	PUNCT
ejpam-6348	205	5	total	total	ADJ
ejpam-6348	205	6	training	training	NOUN
ejpam-6348	205	7	time	time	NOUN
ejpam-6348	205	8	,	,	PUNCT
ejpam-6348	205	9	number	number	NOUN
ejpam-6348	205	10	of	of	ADP
ejpam-6348	205	11	function	function	NOUN
ejpam-6348	205	12	evaluations	evaluation	NOUN
ejpam-6348	205	13	,	,	PUNCT
ejpam-6348	205	14	convergence	convergence	NOUN
ejpam-6348	205	15	rate	rate	NOUN
ejpam-6348	205	16	.	.	PUNCT
ejpam-6348	206	1	•	•	NUM
ejpam-6348	206	2	optimization	optimization	NOUN
ejpam-6348	206	3	quality	quality	NOUN
ejpam-6348	206	4	:	:	PUNCT
ejpam-6348	206	5	improvement	improvement	NOUN
ejpam-6348	206	6	in	in	ADP
ejpam-6348	206	7	validation	validation	NOUN
ejpam-6348	206	8	accuracy	accuracy	NOUN
ejpam-6348	206	9	over	over	ADP
ejpam-6348	206	10	baseline	baseline	ADJ
ejpam-6348	206	11	hyperparameter	hyperparameter	NOUN
ejpam-6348	206	12	tuning	tuning	NOUN
ejpam-6348	206	13	methods	method	NOUN
ejpam-6348	206	14	.	.	PUNCT
ejpam-6348	207	1	4.3	4.3	NUM
ejpam-6348	207	2	.	.	PUNCT
ejpam-6348	207	3	comparative	comparative	ADJ
ejpam-6348	207	4	analysis	analysis	NOUN
ejpam-6348	207	5	the	the	DET
ejpam-6348	207	6	ahpqa	ahpqa	ADJ
ejpam-6348	207	7	framework	framework	NOUN
ejpam-6348	207	8	was	be	AUX
ejpam-6348	207	9	compared	compare	VERB
ejpam-6348	207	10	against	against	ADP
ejpam-6348	207	11	traditional	traditional	ADJ
ejpam-6348	207	12	hyperparameter	hyperparameter	NOUN
ejpam-6348	207	13	tuning	tune	VERB
ejpam-6348	207	14	methods	method	NOUN
ejpam-6348	207	15	to	to	PART
ejpam-6348	207	16	evaluate	evaluate	VERB
ejpam-6348	207	17	its	its	PRON
ejpam-6348	207	18	efficiency	efficiency	NOUN
ejpam-6348	207	19	and	and	CCONJ
ejpam-6348	207	20	effectiveness	effectiveness	NOUN
ejpam-6348	207	21	.	.	PUNCT
ejpam-6348	208	1	these	these	DET
ejpam-6348	208	2	methods	method	NOUN
ejpam-6348	208	3	include	include	VERB
ejpam-6348	208	4	grid	grid	NOUN
ejpam-6348	208	5	search	search	NOUN
ejpam-6348	208	6	(	(	PUNCT
ejpam-6348	208	7	gs	gs	NOUN
ejpam-6348	208	8	)	)	PUNCT
ejpam-6348	208	9	,	,	PUNCT
ejpam-6348	208	10	random	random	ADJ
ejpam-6348	208	11	search	search	NOUN
ejpam-6348	208	12	(	(	PUNCT
ejpam-6348	208	13	rs	rs	NOUN
ejpam-6348	208	14	)	)	PUNCT
ejpam-6348	208	15	,	,	PUNCT
ejpam-6348	208	16	bayesian	bayesian	NOUN
ejpam-6348	208	17	optimization	optimization	NOUN
ejpam-6348	208	18	(	(	PUNCT
ejpam-6348	208	19	bo	bo	PROPN
ejpam-6348	208	20	)	)	PUNCT
ejpam-6348	208	21	,	,	PUNCT
ejpam-6348	208	22	and	and	CCONJ
ejpam-6348	208	23	metaheuristic	metaheuristic	ADV
ejpam-6348	208	24	-	-	PUNCT
ejpam-6348	208	25	based	base	VERB
ejpam-6348	208	26	approaches	approach	NOUN
ejpam-6348	208	27	such	such	ADJ
ejpam-6348	208	28	as	as	ADP
ejpam-6348	208	29	genetic	genetic	ADJ
ejpam-6348	208	30	algorithms	algorithm	NOUN
ejpam-6348	208	31	(	(	PUNCT
ejpam-6348	208	32	ga	ga	NOUN
ejpam-6348	208	33	)	)	PUNCT
ejpam-6348	208	34	and	and	CCONJ
ejpam-6348	208	35	particle	particle	NOUN
ejpam-6348	208	36	swarm	swarm	NOUN
ejpam-6348	208	37	optimization	optimization	NOUN
ejpam-6348	208	38	(	(	PUNCT
ejpam-6348	208	39	pso	pso	NOUN
ejpam-6348	208	40	)	)	PUNCT
ejpam-6348	208	41	.	.	PUNCT
ejpam-6348	209	1	table	table	NOUN
ejpam-6348	209	2	1	1	NUM
ejpam-6348	209	3	summarizes	summarize	NOUN
ejpam-6348	209	4	the	the	DET
ejpam-6348	209	5	experimental	experimental	ADJ
ejpam-6348	209	6	results	result	NOUN
ejpam-6348	209	7	across	across	ADP
ejpam-6348	209	8	different	different	ADJ
ejpam-6348	209	9	models	model	NOUN
ejpam-6348	209	10	.	.	PUNCT
ejpam-6348	210	1	grid	grid	NOUN
ejpam-6348	210	2	search	search	NOUN
ejpam-6348	210	3	is	be	AUX
ejpam-6348	210	4	a	a	DET
ejpam-6348	210	5	systematic	systematic	ADJ
ejpam-6348	210	6	approach	approach	NOUN
ejpam-6348	210	7	that	that	PRON
ejpam-6348	210	8	exhaustively	exhaustively	ADV
ejpam-6348	210	9	evaluates	evaluate	VERB
ejpam-6348	210	10	all	all	DET
ejpam-6348	210	11	possible	possible	ADJ
ejpam-6348	210	12	hyperparameter	hyperparameter	NOUN
ejpam-6348	210	13	combinations	combination	NOUN
ejpam-6348	210	14	within	within	ADP
ejpam-6348	210	15	a	a	DET
ejpam-6348	210	16	predefined	predefined	ADJ
ejpam-6348	210	17	range	range	NOUN
ejpam-6348	210	18	.	.	PUNCT
ejpam-6348	211	1	while	while	SCONJ
ejpam-6348	211	2	it	it	PRON
ejpam-6348	211	3	ensures	ensure	VERB
ejpam-6348	211	4	that	that	SCONJ
ejpam-6348	211	5	the	the	DET
ejpam-6348	211	6	best	good	ADJ
ejpam-6348	211	7	configuration	configuration	NOUN
ejpam-6348	211	8	is	be	AUX
ejpam-6348	211	9	identified	identify	VERB
ejpam-6348	211	10	within	within	ADP
ejpam-6348	211	11	the	the	DET
ejpam-6348	211	12	search	search	NOUN
ejpam-6348	211	13	space	space	NOUN
ejpam-6348	211	14	,	,	PUNCT
ejpam-6348	211	15	it	it	PRON
ejpam-6348	211	16	is	be	AUX
ejpam-6348	211	17	highly	highly	ADV
ejpam-6348	211	18	computationally	computationally	ADV
ejpam-6348	211	19	expensive	expensive	ADJ
ejpam-6348	211	20	,	,	PUNCT
ejpam-6348	211	21	especially	especially	ADV
ejpam-6348	211	22	as	as	ADP
ejpam-6348	211	23	the	the	DET
ejpam-6348	211	24	number	number	NOUN
ejpam-6348	211	25	of	of	ADP
ejpam-6348	211	26	parameters	parameter	NOUN
ejpam-6348	211	27	increases	increase	NOUN
ejpam-6348	211	28	.	.	PUNCT
ejpam-6348	212	1	the	the	DET
ejpam-6348	212	2	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	212	3	method	method	NOUN
ejpam-6348	212	4	,	,	PUNCT
ejpam-6348	212	5	in	in	ADP
ejpam-6348	212	6	contrast	contrast	NOUN
ejpam-6348	212	7	,	,	PUNCT
ejpam-6348	212	8	significantly	significantly	ADV
ejpam-6348	212	9	reduces	reduce	VERB
ejpam-6348	212	10	the	the	DET
ejpam-6348	212	11	number	number	NOUN
ejpam-6348	212	12	of	of	ADP
ejpam-6348	212	13	evaluations	evaluation	NOUN
ejpam-6348	212	14	required	require	VERB
ejpam-6348	212	15	to	to	PART
ejpam-6348	212	16	reach	reach	VERB
ejpam-6348	212	17	an	an	DET
ejpam-6348	212	18	optimal	optimal	ADJ
ejpam-6348	212	19	solution	solution	NOUN
ejpam-6348	212	20	by	by	ADP
ejpam-6348	212	21	dynamically	dynamically	ADV
ejpam-6348	212	22	selecting	select	VERB
ejpam-6348	212	23	heuristics	heuristic	NOUN
ejpam-6348	212	24	based	base	VERB
ejpam-6348	212	25	on	on	ADP
ejpam-6348	212	26	past	past	ADJ
ejpam-6348	212	27	performance	performance	NOUN
ejpam-6348	212	28	,	,	PUNCT
ejpam-6348	212	29	making	make	VERB
ejpam-6348	212	30	it	it	PRON
ejpam-6348	212	31	more	more	ADV
ejpam-6348	212	32	adaptable	adaptable	ADJ
ejpam-6348	212	33	and	and	CCONJ
ejpam-6348	212	34	computationally	computationally	ADV
ejpam-6348	212	35	efficient	efficient	ADJ
ejpam-6348	212	36	.	.	PUNCT
ejpam-6348	213	1	random	random	ADJ
ejpam-6348	213	2	search	search	NOUN
ejpam-6348	213	3	,	,	PUNCT
ejpam-6348	213	4	unlike	unlike	ADP
ejpam-6348	213	5	grid	grid	NOUN
ejpam-6348	213	6	search	search	NOUN
ejpam-6348	213	7	,	,	PUNCT
ejpam-6348	213	8	selects	select	VERB
ejpam-6348	213	9	hyperparameter	hyperparameter	NOUN
ejpam-6348	213	10	values	value	NOUN
ejpam-6348	213	11	randomly	randomly	ADV
ejpam-6348	213	12	instead	instead	ADV
ejpam-6348	213	13	of	of	ADP
ejpam-6348	213	14	systematically	systematically	ADV
ejpam-6348	213	15	covering	cover	VERB
ejpam-6348	213	16	the	the	DET
ejpam-6348	213	17	search	search	NOUN
ejpam-6348	213	18	space	space	NOUN
ejpam-6348	213	19	.	.	PUNCT
ejpam-6348	214	1	this	this	DET
ejpam-6348	214	2	approach	approach	NOUN
ejpam-6348	214	3	can	can	AUX
ejpam-6348	214	4	be	be	AUX
ejpam-6348	214	5	more	more	ADV
ejpam-6348	214	6	efficient	efficient	ADJ
ejpam-6348	214	7	than	than	ADP
ejpam-6348	214	8	grid	grid	NOUN
ejpam-6348	214	9	search	search	NOUN
ejpam-6348	214	10	in	in	ADP
ejpam-6348	214	11	high	high	ADJ
ejpam-6348	214	12	-	-	PUNCT
ejpam-6348	214	13	dimensional	dimensional	ADJ
ejpam-6348	214	14	spaces	space	NOUN
ejpam-6348	214	15	but	but	CCONJ
ejpam-6348	214	16	does	do	AUX
ejpam-6348	214	17	not	not	PART
ejpam-6348	214	18	leverage	leverage	VERB
ejpam-6348	214	19	prior	prior	ADJ
ejpam-6348	214	20	knowledge	knowledge	NOUN
ejpam-6348	214	21	from	from	ADP
ejpam-6348	214	22	previously	previously	ADV
ejpam-6348	214	23	tested	test	VERB
ejpam-6348	214	24	configurations	configuration	NOUN
ejpam-6348	214	25	.	.	PUNCT
ejpam-6348	215	1	the	the	DET
ejpam-6348	215	2	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	215	3	method	method	NOUN
ejpam-6348	215	4	,	,	PUNCT
ejpam-6348	215	5	by	by	ADP
ejpam-6348	215	6	employing	employ	VERB
ejpam-6348	215	7	q	q	NOUN
ejpam-6348	215	8	-	-	PUNCT
ejpam-6348	215	9	learning	learning	NOUN
ejpam-6348	215	10	,	,	PUNCT
ejpam-6348	215	11	learns	learn	VERB
ejpam-6348	215	12	from	from	ADP
ejpam-6348	215	13	past	past	ADJ
ejpam-6348	215	14	performance	performance	NOUN
ejpam-6348	215	15	to	to	PART
ejpam-6348	215	16	guide	guide	VERB
ejpam-6348	215	17	the	the	DET
ejpam-6348	215	18	search	search	NOUN
ejpam-6348	215	19	process	process	NOUN
ejpam-6348	215	20	,	,	PUNCT
ejpam-6348	215	21	ensuring	ensure	VERB
ejpam-6348	215	22	a	a	DET
ejpam-6348	215	23	more	more	ADV
ejpam-6348	215	24	balanced	balanced	ADJ
ejpam-6348	215	25	and	and	CCONJ
ejpam-6348	215	26	intelligent	intelligent	ADJ
ejpam-6348	215	27	exploration	exploration	NOUN
ejpam-6348	215	28	of	of	ADP
ejpam-6348	215	29	the	the	DET
ejpam-6348	215	30	hyperparameter	hyperparameter	NOUN
ejpam-6348	215	31	space	space	NOUN
ejpam-6348	215	32	.	.	PUNCT
ejpam-6348	216	1	this	this	DET
ejpam-6348	216	2	results	result	NOUN
ejpam-6348	216	3	in	in	ADP
ejpam-6348	216	4	faster	fast	ADJ
ejpam-6348	216	5	convergence	convergence	NOUN
ejpam-6348	216	6	and	and	CCONJ
ejpam-6348	216	7	improved	improved	ADJ
ejpam-6348	216	8	accuracy	accuracy	NOUN
ejpam-6348	216	9	compared	compare	VERB
ejpam-6348	216	10	to	to	ADP
ejpam-6348	216	11	purely	purely	ADV
ejpam-6348	216	12	stochastic	stochastic	VERB
ejpam-6348	216	13	random	random	ADJ
ejpam-6348	216	14	search	search	NOUN
ejpam-6348	216	15	.	.	PUNCT
ejpam-6348	217	1	bayesian	bayesian	NOUN
ejpam-6348	217	2	optimization	optimization	NOUN
ejpam-6348	217	3	,	,	PUNCT
ejpam-6348	217	4	on	on	ADP
ejpam-6348	217	5	the	the	DET
ejpam-6348	217	6	other	other	ADJ
ejpam-6348	217	7	hand	hand	NOUN
ejpam-6348	217	8	,	,	PUNCT
ejpam-6348	217	9	uses	use	VERB
ejpam-6348	217	10	probabilistic	probabilistic	ADJ
ejpam-6348	217	11	models	model	NOUN
ejpam-6348	217	12	,	,	PUNCT
ejpam-6348	217	13	such	such	ADJ
ejpam-6348	217	14	as	as	ADP
ejpam-6348	217	15	gaussian	gaussian	ADJ
ejpam-6348	217	16	processes	process	NOUN
ejpam-6348	217	17	,	,	PUNCT
ejpam-6348	217	18	to	to	PART
ejpam-6348	217	19	model	model	VERB
ejpam-6348	217	20	the	the	DET
ejpam-6348	217	21	objective	objective	ADJ
ejpam-6348	217	22	function	function	NOUN
ejpam-6348	217	23	and	and	CCONJ
ejpam-6348	217	24	guide	guide	VERB
ejpam-6348	217	25	the	the	DET
ejpam-6348	217	26	search	search	NOUN
ejpam-6348	217	27	toward	toward	ADP
ejpam-6348	217	28	promising	promise	VERB
ejpam-6348	217	29	hyperparameter	hyperparameter	NOUN
ejpam-6348	217	30	configurations	configuration	NOUN
ejpam-6348	217	31	.	.	PUNCT
ejpam-6348	218	1	while	while	SCONJ
ejpam-6348	218	2	bayesian	bayesian	NOUN
ejpam-6348	218	3	optimization	optimization	NOUN
ejpam-6348	218	4	is	be	AUX
ejpam-6348	218	5	effective	effective	ADJ
ejpam-6348	218	6	in	in	ADP
ejpam-6348	218	7	high	high	ADJ
ejpam-6348	218	8	-	-	PUNCT
ejpam-6348	218	9	dimensional	dimensional	ADJ
ejpam-6348	218	10	settings	setting	NOUN
ejpam-6348	218	11	and	and	CCONJ
ejpam-6348	218	12	reduces	reduce	VERB
ejpam-6348	218	13	unnecessary	unnecessary	ADJ
ejpam-6348	218	14	computations	computation	NOUN
ejpam-6348	218	15	,	,	PUNCT
ejpam-6348	218	16	it	it	PRON
ejpam-6348	218	17	can	can	AUX
ejpam-6348	218	18	be	be	AUX
ejpam-6348	218	19	computationally	computationally	ADV
ejpam-6348	218	20	expensive	expensive	ADJ
ejpam-6348	218	21	,	,	PUNCT
ejpam-6348	218	22	especially	especially	ADV
ejpam-6348	218	23	when	when	SCONJ
ejpam-6348	218	24	maintaining	maintain	VERB
ejpam-6348	218	25	and	and	CCONJ
ejpam-6348	218	26	updating	update	VERB
ejpam-6348	218	27	the	the	DET
ejpam-6348	218	28	gaussian	gaussian	ADJ
ejpam-6348	218	29	process	process	NOUN
ejpam-6348	218	30	model	model	NOUN
ejpam-6348	218	31	with	with	ADP
ejpam-6348	218	32	more	more	ADJ
ejpam-6348	218	33	evaluations	evaluation	NOUN
ejpam-6348	218	34	.	.	PUNCT
ejpam-6348	219	1	the	the	DET
ejpam-6348	219	2	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	219	3	framework	framework	NOUN
ejpam-6348	219	4	outperforms	outperform	VERB
ejpam-6348	219	5	bayesian	bayesian	NOUN
ejpam-6348	219	6	optimization	optimization	NOUN
ejpam-6348	219	7	by	by	ADP
ejpam-6348	219	8	adaptively	adaptively	ADV
ejpam-6348	219	9	selecting	select	VERB
ejpam-6348	219	10	heuristics	heuristic	NOUN
ejpam-6348	219	11	and	and	CCONJ
ejpam-6348	219	12	leveraging	leverage	VERB
ejpam-6348	219	13	simulated	simulated	ADJ
ejpam-6348	219	14	annealing	annealing	NOUN
ejpam-6348	219	15	for	for	ADP
ejpam-6348	219	16	acceptance	acceptance	NOUN
ejpam-6348	219	17	criteria	criterion	NOUN
ejpam-6348	219	18	,	,	PUNCT
ejpam-6348	219	19	leading	lead	VERB
ejpam-6348	219	20	to	to	ADP
ejpam-6348	219	21	faster	fast	ADJ
ejpam-6348	219	22	convergence	convergence	NOUN
ejpam-6348	219	23	with	with	ADP
ejpam-6348	219	24	reduced	reduced	ADJ
ejpam-6348	219	25	computational	computational	ADJ
ejpam-6348	219	26	overhead	overhead	NOUN
ejpam-6348	219	27	.	.	PUNCT
ejpam-6348	220	1	the	the	DET
ejpam-6348	220	2	statistical	statistical	ADJ
ejpam-6348	220	3	significance	significance	NOUN
ejpam-6348	220	4	of	of	ADP
ejpam-6348	220	5	this	this	DET
ejpam-6348	220	6	improvement	improvement	NOUN
ejpam-6348	220	7	was	be	AUX
ejpam-6348	220	8	verified	verify	VERB
ejpam-6348	220	9	using	use	VERB
ejpam-6348	220	10	a	a	DET
ejpam-6348	220	11	wilcoxon	wilcoxon	ADJ
ejpam-6348	220	12	signed	sign	VERB
ejpam-6348	220	13	-	-	PUNCT
ejpam-6348	220	14	rank	rank	NOUN
ejpam-6348	220	15	test	test	NOUN
ejpam-6348	220	16	.	.	PUNCT
ejpam-6348	221	1	metaheuristic	metaheuristic	ADJ
ejpam-6348	221	2	-	-	PUNCT
ejpam-6348	221	3	based	base	VERB
ejpam-6348	221	4	approaches	approach	NOUN
ejpam-6348	221	5	,	,	PUNCT
ejpam-6348	221	6	such	such	ADJ
ejpam-6348	221	7	as	as	ADP
ejpam-6348	221	8	genetic	genetic	ADJ
ejpam-6348	221	9	algorithms	algorithm	NOUN
ejpam-6348	221	10	(	(	PUNCT
ejpam-6348	221	11	ga	ga	NOUN
ejpam-6348	221	12	)	)	PUNCT
ejpam-6348	221	13	and	and	CCONJ
ejpam-6348	221	14	particle	particle	NOUN
ejpam-6348	221	15	swarm	swarm	NOUN
ejpam-6348	221	16	optimization	optimization	NOUN
ejpam-6348	221	17	(	(	PUNCT
ejpam-6348	221	18	pso	pso	NOUN
ejpam-6348	221	19	)	)	PUNCT
ejpam-6348	221	20	,	,	PUNCT
ejpam-6348	221	21	have	have	AUX
ejpam-6348	221	22	also	also	ADV
ejpam-6348	221	23	been	be	AUX
ejpam-6348	221	24	widely	widely	ADV
ejpam-6348	221	25	used	use	VERB
ejpam-6348	221	26	in	in	ADP
ejpam-6348	221	27	hyperparameter	hyperparameter	NOUN
ejpam-6348	221	28	tuning	tuning	NOUN
ejpam-6348	221	29	.	.	PUNCT
ejpam-6348	222	1	ga	ga	PROPN
ejpam-6348	222	2	employs	employ	VERB
ejpam-6348	222	3	k.	k.	PROPN
ejpam-6348	222	4	danach	danach	PROPN
ejpam-6348	222	5	,	,	PUNCT
ejpam-6348	222	6	w.	w.	PROPN
ejpam-6348	222	7	h.	h.	PROPN
ejpam-6348	222	8	f.	f.	PROPN
ejpam-6348	222	9	aly	aly	PROPN
ejpam-6348	222	10	/	/	SYM
ejpam-6348	222	11	eur	eur	PROPN
ejpam-6348	222	12	.	.	PUNCT
ejpam-6348	223	1	j.	j.	PROPN
ejpam-6348	223	2	pure	pure	PROPN
ejpam-6348	223	3	appl	appl	PROPN
ejpam-6348	223	4	.	.	PROPN
ejpam-6348	223	5	math	math	PROPN
ejpam-6348	223	6	,	,	PUNCT
ejpam-6348	223	7	18	18	NUM
ejpam-6348	223	8	(	(	PUNCT
ejpam-6348	223	9	3	3	NUM
ejpam-6348	223	10	)	)	PUNCT
ejpam-6348	223	11	(	(	PUNCT
ejpam-6348	223	12	2025	2025	NUM
ejpam-6348	223	13	)	)	PUNCT
ejpam-6348	223	14	,	,	PUNCT
ejpam-6348	223	15	6348	6348	NUM
ejpam-6348	223	16	15	15	NUM
ejpam-6348	223	17	of	of	ADP
ejpam-6348	223	18	23	23	NUM
ejpam-6348	223	19	evolutionary	evolutionary	ADJ
ejpam-6348	223	20	principles	principle	NOUN
ejpam-6348	223	21	,	,	PUNCT
ejpam-6348	223	22	including	include	VERB
ejpam-6348	223	23	selection	selection	NOUN
ejpam-6348	223	24	,	,	PUNCT
ejpam-6348	223	25	crossover	crossover	NOUN
ejpam-6348	223	26	,	,	PUNCT
ejpam-6348	223	27	and	and	CCONJ
ejpam-6348	223	28	mutation	mutation	NOUN
ejpam-6348	223	29	,	,	PUNCT
ejpam-6348	223	30	to	to	PART
ejpam-6348	223	31	optimize	optimize	VERB
ejpam-6348	223	32	hyperparameter	hyperparameter	NOUN
ejpam-6348	223	33	configurations	configuration	NOUN
ejpam-6348	223	34	over	over	ADP
ejpam-6348	223	35	multiple	multiple	ADJ
ejpam-6348	223	36	generations	generation	NOUN
ejpam-6348	223	37	.	.	PUNCT
ejpam-6348	224	1	while	while	SCONJ
ejpam-6348	224	2	effective	effective	ADJ
ejpam-6348	224	3	in	in	ADP
ejpam-6348	224	4	avoiding	avoid	VERB
ejpam-6348	224	5	local	local	ADJ
ejpam-6348	224	6	optima	optima	NOUN
ejpam-6348	224	7	,	,	PUNCT
ejpam-6348	224	8	ga	ga	PROPN
ejpam-6348	224	9	requires	require	VERB
ejpam-6348	224	10	careful	careful	ADJ
ejpam-6348	224	11	tuning	tuning	NOUN
ejpam-6348	224	12	of	of	ADP
ejpam-6348	224	13	genetic	genetic	ADJ
ejpam-6348	224	14	operators	operator	NOUN
ejpam-6348	224	15	and	and	CCONJ
ejpam-6348	224	16	is	be	AUX
ejpam-6348	224	17	susceptible	susceptible	ADJ
ejpam-6348	224	18	to	to	ADP
ejpam-6348	224	19	premature	premature	ADJ
ejpam-6348	224	20	convergence	convergence	NOUN
ejpam-6348	224	21	.	.	PUNCT
ejpam-6348	225	1	pso	pso	NOUN
ejpam-6348	225	2	,	,	PUNCT
ejpam-6348	225	3	inspired	inspire	VERB
ejpam-6348	225	4	by	by	ADP
ejpam-6348	225	5	swarm	swarm	NOUN
ejpam-6348	225	6	intelligence	intelligence	NOUN
ejpam-6348	225	7	,	,	PUNCT
ejpam-6348	225	8	models	model	VERB
ejpam-6348	225	9	the	the	DET
ejpam-6348	225	10	optimization	optimization	NOUN
ejpam-6348	225	11	process	process	NOUN
ejpam-6348	225	12	as	as	ADP
ejpam-6348	225	13	particles	particle	NOUN
ejpam-6348	225	14	moving	move	VERB
ejpam-6348	225	15	through	through	ADP
ejpam-6348	225	16	the	the	DET
ejpam-6348	225	17	hyperparameter	hyperparameter	NOUN
ejpam-6348	225	18	space	space	NOUN
ejpam-6348	225	19	based	base	VERB
ejpam-6348	225	20	on	on	ADP
ejpam-6348	225	21	personal	personal	ADJ
ejpam-6348	225	22	and	and	CCONJ
ejpam-6348	225	23	global	global	ADJ
ejpam-6348	225	24	best	good	ADJ
ejpam-6348	225	25	solutions	solution	NOUN
ejpam-6348	225	26	.	.	PUNCT
ejpam-6348	226	1	although	although	SCONJ
ejpam-6348	226	2	it	it	PRON
ejpam-6348	226	3	balances	balance	VERB
ejpam-6348	226	4	exploration	exploration	NOUN
ejpam-6348	226	5	and	and	CCONJ
ejpam-6348	226	6	exploitation	exploitation	NOUN
ejpam-6348	226	7	well	well	ADV
ejpam-6348	226	8	,	,	PUNCT
ejpam-6348	226	9	pso	pso	NOUN
ejpam-6348	226	10	can	can	AUX
ejpam-6348	226	11	stagnate	stagnate	VERB
ejpam-6348	226	12	in	in	ADP
ejpam-6348	226	13	suboptimal	suboptimal	ADJ
ejpam-6348	226	14	regions	region	NOUN
ejpam-6348	226	15	if	if	SCONJ
ejpam-6348	226	16	not	not	PART
ejpam-6348	226	17	carefully	carefully	ADV
ejpam-6348	226	18	tuned	tune	VERB
ejpam-6348	226	19	.	.	PUNCT
ejpam-6348	227	1	the	the	DET
ejpam-6348	227	2	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	227	3	framework	framework	NOUN
ejpam-6348	227	4	surpasses	surpass	VERB
ejpam-6348	227	5	these	these	DET
ejpam-6348	227	6	methods	method	NOUN
ejpam-6348	227	7	by	by	ADP
ejpam-6348	227	8	integrating	integrate	VERB
ejpam-6348	227	9	multiple	multiple	ADJ
ejpam-6348	227	10	heuristic	heuristic	ADJ
ejpam-6348	227	11	strategies	strategy	NOUN
ejpam-6348	227	12	dynamically	dynamically	ADV
ejpam-6348	227	13	,	,	PUNCT
ejpam-6348	227	14	adapting	adapt	VERB
ejpam-6348	227	15	to	to	ADP
ejpam-6348	227	16	different	different	ADJ
ejpam-6348	227	17	optimization	optimization	NOUN
ejpam-6348	227	18	landscapes	landscape	NOUN
ejpam-6348	227	19	without	without	ADP
ejpam-6348	227	20	requiring	require	VERB
ejpam-6348	227	21	manual	manual	ADJ
ejpam-6348	227	22	parameter	parameter	NOUN
ejpam-6348	227	23	tuning	tuning	NOUN
ejpam-6348	227	24	.	.	PUNCT
ejpam-6348	228	1	this	this	DET
ejpam-6348	228	2	results	result	NOUN
ejpam-6348	228	3	in	in	ADP
ejpam-6348	228	4	greater	great	ADJ
ejpam-6348	228	5	flexibility	flexibility	NOUN
ejpam-6348	228	6	,	,	PUNCT
ejpam-6348	228	7	improved	improved	ADJ
ejpam-6348	228	8	efficiency	efficiency	NOUN
ejpam-6348	228	9	,	,	PUNCT
ejpam-6348	228	10	and	and	CCONJ
ejpam-6348	228	11	more	more	ADV
ejpam-6348	228	12	robust	robust	ADJ
ejpam-6348	228	13	convergence	convergence	NOUN
ejpam-6348	228	14	properties	property	NOUN
ejpam-6348	228	15	.	.	PUNCT
ejpam-6348	229	1	overall	overall	ADV
ejpam-6348	229	2	,	,	PUNCT
ejpam-6348	229	3	the	the	DET
ejpam-6348	229	4	experimental	experimental	ADJ
ejpam-6348	229	5	results	result	NOUN
ejpam-6348	229	6	demonstrate	demonstrate	VERB
ejpam-6348	229	7	that	that	SCONJ
ejpam-6348	229	8	the	the	DET
ejpam-6348	229	9	adaptive	adaptive	ADJ
ejpam-6348	229	10	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	229	11	framework	framework	NOUN
ejpam-6348	229	12	achieves	achieve	VERB
ejpam-6348	229	13	superior	superior	ADJ
ejpam-6348	229	14	performance	performance	NOUN
ejpam-6348	229	15	compared	compare	VERB
ejpam-6348	229	16	to	to	ADP
ejpam-6348	229	17	traditional	traditional	ADJ
ejpam-6348	229	18	and	and	CCONJ
ejpam-6348	229	19	metaheuristic	metaheuristic	ADV
ejpam-6348	229	20	-	-	PUNCT
ejpam-6348	229	21	based	base	VERB
ejpam-6348	229	22	tuning	tuning	NOUN
ejpam-6348	229	23	methods	method	NOUN
ejpam-6348	229	24	.	.	PUNCT
ejpam-6348	230	1	it	it	PRON
ejpam-6348	230	2	attains	attain	VERB
ejpam-6348	230	3	higher	high	ADJ
ejpam-6348	230	4	accuracy	accuracy	NOUN
ejpam-6348	230	5	,	,	PUNCT
ejpam-6348	230	6	requires	require	VERB
ejpam-6348	230	7	fewer	few	ADJ
ejpam-6348	230	8	iterations	iteration	NOUN
ejpam-6348	230	9	to	to	PART
ejpam-6348	230	10	reach	reach	VERB
ejpam-6348	230	11	optimal	optimal	ADJ
ejpam-6348	230	12	performance	performance	NOUN
ejpam-6348	230	13	,	,	PUNCT
ejpam-6348	230	14	and	and	CCONJ
ejpam-6348	230	15	significantly	significantly	ADV
ejpam-6348	230	16	reduces	reduce	VERB
ejpam-6348	230	17	computational	computational	ADJ
ejpam-6348	230	18	time	time	NOUN
ejpam-6348	230	19	.	.	PUNCT
ejpam-6348	231	1	by	by	ADP
ejpam-6348	231	2	leveraging	leverage	VERB
ejpam-6348	231	3	reinforcement	reinforcement	NOUN
ejpam-6348	231	4	learning	learning	NOUN
ejpam-6348	231	5	for	for	ADP
ejpam-6348	231	6	heuristic	heuristic	ADJ
ejpam-6348	231	7	selection	selection	NOUN
ejpam-6348	231	8	and	and	CCONJ
ejpam-6348	231	9	simulated	simulate	VERB
ejpam-6348	231	10	annealing	annealing	NOUN
ejpam-6348	231	11	for	for	ADP
ejpam-6348	231	12	acceptance	acceptance	NOUN
ejpam-6348	231	13	criteria	criterion	NOUN
ejpam-6348	231	14	,	,	PUNCT
ejpam-6348	231	15	the	the	DET
ejpam-6348	231	16	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	231	17	framework	framework	NOUN
ejpam-6348	231	18	provides	provide	VERB
ejpam-6348	231	19	an	an	DET
ejpam-6348	231	20	efficient	efficient	ADJ
ejpam-6348	231	21	and	and	CCONJ
ejpam-6348	231	22	scalable	scalable	ADJ
ejpam-6348	231	23	solution	solution	NOUN
ejpam-6348	231	24	to	to	PART
ejpam-6348	231	25	hyperparameter	hyperparameter	VERB
ejpam-6348	231	26	optimization	optimization	NOUN
ejpam-6348	231	27	.	.	PUNCT
ejpam-6348	232	1	table	table	NOUN
ejpam-6348	232	2	1	1	NUM
ejpam-6348	232	3	:	:	PUNCT
ejpam-6348	232	4	performance	performance	NOUN
ejpam-6348	232	5	comparison	comparison	NOUN
ejpam-6348	232	6	of	of	ADP
ejpam-6348	232	7	hyperparameter	hyperparameter	NOUN
ejpam-6348	232	8	tuning	tuning	NOUN
ejpam-6348	232	9	methods	method	NOUN
ejpam-6348	232	10	(	(	PUNCT
ejpam-6348	232	11	mean	mean	NOUN
ejpam-6348	232	12	±	±	NUM
ejpam-6348	232	13	std	std	NOUN
ejpam-6348	232	14	)	)	PUNCT
ejpam-6348	232	15	method	method	NOUN
ejpam-6348	232	16	accuracy	accuracy	NOUN
ejpam-6348	232	17	(	(	PUNCT
ejpam-6348	232	18	%	%	INTJ
ejpam-6348	232	19	)	)	PUNCT
ejpam-6348	232	20	f1	f1	NOUN
ejpam-6348	232	21	-	-	PUNCT
ejpam-6348	232	22	score	score	NOUN
ejpam-6348	232	23	time	time	NOUN
ejpam-6348	232	24	(	(	PUNCT
ejpam-6348	232	25	s	s	NOUN
ejpam-6348	232	26	)	)	PUNCT
ejpam-6348	232	27	iterations	iteration	NOUN
ejpam-6348	232	28	grid	grid	NOUN
ejpam-6348	232	29	search	search	NOUN
ejpam-6348	232	30	87.2	87.2	NUM
ejpam-6348	232	31	±	±	NUM
ejpam-6348	232	32	0.5	0.5	NUM
ejpam-6348	232	33	0.854	0.854	NUM
ejpam-6348	232	34	±	±	NUM
ejpam-6348	232	35	0.007	0.007	NUM
ejpam-6348	232	36	12500	12500	NUM
ejpam-6348	232	37	500	500	NUM
ejpam-6348	232	38	random	random	ADJ
ejpam-6348	232	39	search	search	NOUN
ejpam-6348	232	40	88.5	88.5	NUM
ejpam-6348	232	41	±	±	NUM
ejpam-6348	232	42	0.6	0.6	NUM
ejpam-6348	232	43	0.861	0.861	NUM
ejpam-6348	232	44	±	±	NUM
ejpam-6348	232	45	0.008	0.008	NUM
ejpam-6348	232	46	9400	9400	NUM
ejpam-6348	232	47	350	350	NUM
ejpam-6348	232	48	bayesian	bayesian	NOUN
ejpam-6348	232	49	optimization	optimization	NOUN
ejpam-6348	232	50	90.3	90.3	NUM
ejpam-6348	232	51	±	±	NUM
ejpam-6348	232	52	0.4	0.4	NUM
ejpam-6348	232	53	0.879	0.879	NUM
ejpam-6348	232	54	±	±	NUM
ejpam-6348	232	55	0.006	0.006	NUM
ejpam-6348	232	56	6100	6100	NUM
ejpam-6348	232	57	200	200	NUM
ejpam-6348	232	58	genetic	genetic	ADJ
ejpam-6348	232	59	algorithm	algorithm	NOUN
ejpam-6348	232	60	91.1	91.1	NUM
ejpam-6348	232	61	±	±	NUM
ejpam-6348	232	62	0.3	0.3	NUM
ejpam-6348	232	63	0.885	0.885	NUM
ejpam-6348	232	64	±	±	NUM
ejpam-6348	232	65	0.005	0.005	NUM
ejpam-6348	232	66	5400	5400	NUM
ejpam-6348	232	67	180	180	NUM
ejpam-6348	232	68	ahpqa	ahpqa	ADJ
ejpam-6348	232	69	framework	framework	NOUN
ejpam-6348	232	70	92.4	92.4	NUM
ejpam-6348	232	71	±	±	NUM
ejpam-6348	232	72	0.2	0.2	NUM
ejpam-6348	232	73	0.899	0.899	NUM
ejpam-6348	232	74	±	±	NUM
ejpam-6348	232	75	0.004	0.004	NUM
ejpam-6348	232	76	4200	4200	NUM
ejpam-6348	232	77	140	140	NUM
ejpam-6348	232	78	to	to	PART
ejpam-6348	232	79	ensure	ensure	VERB
ejpam-6348	232	80	a	a	DET
ejpam-6348	232	81	robust	robust	ADJ
ejpam-6348	232	82	comparison	comparison	NOUN
ejpam-6348	232	83	of	of	ADP
ejpam-6348	232	84	stochastic	stochastic	ADJ
ejpam-6348	232	85	optimization	optimization	NOUN
ejpam-6348	232	86	methods	method	NOUN
ejpam-6348	232	87	,	,	PUNCT
ejpam-6348	232	88	each	each	DET
ejpam-6348	232	89	algorithm	algorithm	NOUN
ejpam-6348	232	90	was	be	AUX
ejpam-6348	232	91	executed	execute	VERB
ejpam-6348	232	92	independently	independently	ADV
ejpam-6348	232	93	over	over	ADP
ejpam-6348	232	94	30	30	NUM
ejpam-6348	232	95	trials	trial	NOUN
ejpam-6348	232	96	.	.	PUNCT
ejpam-6348	233	1	table	table	NOUN
ejpam-6348	233	2	1	1	NUM
ejpam-6348	233	3	summarizes	summarize	NOUN
ejpam-6348	233	4	the	the	DET
ejpam-6348	233	5	results	result	NOUN
ejpam-6348	233	6	using	use	VERB
ejpam-6348	233	7	the	the	DET
ejpam-6348	233	8	mean	mean	ADJ
ejpam-6348	233	9	±	±	NOUN
ejpam-6348	233	10	standard	standard	ADJ
ejpam-6348	233	11	deviation	deviation	NOUN
ejpam-6348	233	12	for	for	ADP
ejpam-6348	233	13	each	each	DET
ejpam-6348	233	14	metric	metric	NOUN
ejpam-6348	233	15	.	.	PUNCT
ejpam-6348	234	1	this	this	DET
ejpam-6348	234	2	statistical	statistical	ADJ
ejpam-6348	234	3	representation	representation	NOUN
ejpam-6348	234	4	accounts	account	VERB
ejpam-6348	234	5	for	for	ADP
ejpam-6348	234	6	variability	variability	NOUN
ejpam-6348	234	7	in	in	ADP
ejpam-6348	234	8	performance	performance	NOUN
ejpam-6348	234	9	and	and	CCONJ
ejpam-6348	234	10	supports	support	VERB
ejpam-6348	234	11	the	the	DET
ejpam-6348	234	12	validity	validity	NOUN
ejpam-6348	234	13	of	of	ADP
ejpam-6348	234	14	the	the	DET
ejpam-6348	234	15	findings	finding	NOUN
ejpam-6348	234	16	.	.	PUNCT
ejpam-6348	235	1	from	from	ADP
ejpam-6348	235	2	table	table	NOUN
ejpam-6348	235	3	1	1	NUM
ejpam-6348	235	4	,	,	PUNCT
ejpam-6348	235	5	it	it	PRON
ejpam-6348	235	6	is	be	AUX
ejpam-6348	235	7	evident	evident	ADJ
ejpam-6348	235	8	that	that	SCONJ
ejpam-6348	235	9	the	the	DET
ejpam-6348	235	10	ahpqa	ahpqa	ADJ
ejpam-6348	235	11	framework	framework	NOUN
ejpam-6348	235	12	achieves	achieve	VERB
ejpam-6348	235	13	the	the	DET
ejpam-6348	235	14	highest	high	ADJ
ejpam-6348	235	15	model	model	NOUN
ejpam-6348	235	16	accuracy	accuracy	NOUN
ejpam-6348	235	17	(	(	PUNCT
ejpam-6348	235	18	92.4	92.4	NUM
ejpam-6348	235	19	±	±	NUM
ejpam-6348	235	20	0.2	0.2	NUM
ejpam-6348	235	21	%	%	NOUN
ejpam-6348	235	22	)	)	PUNCT
ejpam-6348	235	23	while	while	SCONJ
ejpam-6348	235	24	reducing	reduce	VERB
ejpam-6348	235	25	computational	computational	ADJ
ejpam-6348	235	26	time	time	NOUN
ejpam-6348	235	27	and	and	CCONJ
ejpam-6348	235	28	the	the	DET
ejpam-6348	235	29	number	number	NOUN
ejpam-6348	235	30	of	of	ADP
ejpam-6348	235	31	required	require	VERB
ejpam-6348	235	32	iterations	iteration	NOUN
ejpam-6348	235	33	compared	compare	VERB
ejpam-6348	235	34	to	to	ADP
ejpam-6348	235	35	other	other	ADJ
ejpam-6348	235	36	tuning	tuning	NOUN
ejpam-6348	235	37	methods	method	NOUN
ejpam-6348	235	38	.	.	PUNCT
ejpam-6348	236	1	4.4	4.4	NUM
ejpam-6348	236	2	.	.	PUNCT
ejpam-6348	237	1	statistical	statistical	ADJ
ejpam-6348	237	2	significance	significance	NOUN
ejpam-6348	237	3	analysis	analysis	NOUN
ejpam-6348	237	4	to	to	PART
ejpam-6348	237	5	verify	verify	VERB
ejpam-6348	237	6	the	the	DET
ejpam-6348	237	7	statistical	statistical	ADJ
ejpam-6348	237	8	significance	significance	NOUN
ejpam-6348	237	9	of	of	ADP
ejpam-6348	237	10	the	the	DET
ejpam-6348	237	11	improvements	improvement	NOUN
ejpam-6348	237	12	,	,	PUNCT
ejpam-6348	237	13	a	a	DET
ejpam-6348	237	14	wilcoxon	wilcoxon	ADJ
ejpam-6348	237	15	signed	sign	VERB
ejpam-6348	237	16	-	-	PUNCT
ejpam-6348	237	17	rank	rank	NOUN
ejpam-6348	237	18	test	test	NOUN
ejpam-6348	237	19	was	be	AUX
ejpam-6348	237	20	conducted	conduct	VERB
ejpam-6348	237	21	to	to	PART
ejpam-6348	237	22	compare	compare	VERB
ejpam-6348	237	23	the	the	DET
ejpam-6348	237	24	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	237	25	method	method	NOUN
ejpam-6348	237	26	with	with	ADP
ejpam-6348	237	27	bayesian	bayesian	NOUN
ejpam-6348	237	28	optimization	optimization	NOUN
ejpam-6348	237	29	,	,	PUNCT
ejpam-6348	237	30	the	the	DET
ejpam-6348	237	31	second	second	ADV
ejpam-6348	237	32	-	-	PUNCT
ejpam-6348	237	33	best	good	ADJ
ejpam-6348	237	34	performing	performing	NOUN
ejpam-6348	237	35	method	method	NOUN
ejpam-6348	237	36	.	.	PUNCT
ejpam-6348	238	1	p	p	X
ejpam-6348	238	2	=	=	PUNCT
ejpam-6348	238	3	wilcoxon(fhyperheuristic	wilcoxon(fhyperheuristic	PROPN
ejpam-6348	238	4	,	,	PUNCT
ejpam-6348	238	5	fbo	fbo	PROPN
ejpam-6348	238	6	)	)	PUNCT
ejpam-6348	238	7	(	(	PUNCT
ejpam-6348	238	8	7	7	X
ejpam-6348	238	9	)	)	PUNCT
ejpam-6348	238	10	the	the	DET
ejpam-6348	238	11	test	test	NOUN
ejpam-6348	238	12	yielded	yield	VERB
ejpam-6348	238	13	a	a	DET
ejpam-6348	238	14	p	p	NOUN
ejpam-6348	238	15	-	-	PUNCT
ejpam-6348	238	16	value	value	NOUN
ejpam-6348	238	17	of	of	ADP
ejpam-6348	238	18	0.004	0.004	NUM
ejpam-6348	238	19	,	,	PUNCT
ejpam-6348	238	20	indicating	indicate	VERB
ejpam-6348	238	21	a	a	DET
ejpam-6348	238	22	statistically	statistically	ADV
ejpam-6348	238	23	significant	significant	ADJ
ejpam-6348	238	24	difference	difference	NOUN
ejpam-6348	238	25	in	in	ADP
ejpam-6348	238	26	performance	performance	NOUN
ejpam-6348	238	27	at	at	ADP
ejpam-6348	238	28	a	a	DET
ejpam-6348	238	29	confidence	confidence	NOUN
ejpam-6348	238	30	level	level	NOUN
ejpam-6348	238	31	of	of	ADP
ejpam-6348	238	32	95	95	NUM
ejpam-6348	238	33	%	%	NOUN
ejpam-6348	238	34	(	(	PUNCT
ejpam-6348	238	35	α	α	NOUN
ejpam-6348	238	36	=	=	NOUN
ejpam-6348	238	37	0.05	0.05	NUM
ejpam-6348	238	38	)	)	PUNCT
ejpam-6348	238	39	.	.	PUNCT
ejpam-6348	239	1	k.	k.	PROPN
ejpam-6348	239	2	danach	danach	PROPN
ejpam-6348	239	3	,	,	PUNCT
ejpam-6348	239	4	w.	w.	PROPN
ejpam-6348	239	5	h.	h.	PROPN
ejpam-6348	239	6	f.	f.	PROPN
ejpam-6348	239	7	aly	aly	PROPN
ejpam-6348	239	8	/	/	SYM
ejpam-6348	239	9	eur	eur	PROPN
ejpam-6348	239	10	.	.	PUNCT
ejpam-6348	240	1	j.	j.	PROPN
ejpam-6348	240	2	pure	pure	PROPN
ejpam-6348	240	3	appl	appl	PROPN
ejpam-6348	240	4	.	.	PROPN
ejpam-6348	240	5	math	math	PROPN
ejpam-6348	240	6	,	,	PUNCT
ejpam-6348	240	7	18	18	NUM
ejpam-6348	240	8	(	(	PUNCT
ejpam-6348	240	9	3	3	NUM
ejpam-6348	240	10	)	)	PUNCT
ejpam-6348	240	11	(	(	PUNCT
ejpam-6348	240	12	2025	2025	NUM
ejpam-6348	240	13	)	)	PUNCT
ejpam-6348	240	14	,	,	PUNCT
ejpam-6348	240	15	6348	6348	NUM
ejpam-6348	240	16	16	16	NUM
ejpam-6348	240	17	of	of	ADP
ejpam-6348	240	18	23	23	NUM
ejpam-6348	240	19	4.5	4.5	NUM
ejpam-6348	240	20	.	.	PUNCT
ejpam-6348	241	1	convergence	convergence	NOUN
ejpam-6348	241	2	analysis	analysis	NOUN
ejpam-6348	241	3	figure	figure	NOUN
ejpam-6348	241	4	4	4	NUM
ejpam-6348	241	5	illustrates	illustrate	VERB
ejpam-6348	241	6	the	the	DET
ejpam-6348	241	7	convergence	convergence	NOUN
ejpam-6348	241	8	of	of	ADP
ejpam-6348	241	9	the	the	DET
ejpam-6348	241	10	different	different	ADJ
ejpam-6348	241	11	tuning	tuning	NOUN
ejpam-6348	241	12	approaches	approach	NOUN
ejpam-6348	241	13	over	over	ADP
ejpam-6348	241	14	successive	successive	ADJ
ejpam-6348	241	15	iterations	iteration	NOUN
ejpam-6348	241	16	.	.	PUNCT
ejpam-6348	242	1	figure	figure	VERB
ejpam-6348	242	2	4	4	NUM
ejpam-6348	242	3	:	:	PUNCT
ejpam-6348	242	4	convergence	convergence	NOUN
ejpam-6348	242	5	of	of	ADP
ejpam-6348	242	6	hyperparameter	hyperparameter	NOUN
ejpam-6348	242	7	tuning	tune	VERB
ejpam-6348	242	8	methods	method	NOUN
ejpam-6348	242	9	the	the	DET
ejpam-6348	242	10	ahpqaframework	ahpqaframework	NOUN
ejpam-6348	242	11	achieves	achieve	VERB
ejpam-6348	242	12	faster	fast	ADJ
ejpam-6348	242	13	convergence	convergence	NOUN
ejpam-6348	242	14	,	,	PUNCT
ejpam-6348	242	15	requiring	require	VERB
ejpam-6348	242	16	significantly	significantly	ADV
ejpam-6348	242	17	fewer	few	ADJ
ejpam-6348	242	18	iterations	iteration	NOUN
ejpam-6348	242	19	to	to	PART
ejpam-6348	242	20	reach	reach	VERB
ejpam-6348	242	21	optimal	optimal	ADJ
ejpam-6348	242	22	performance	performance	NOUN
ejpam-6348	242	23	.	.	PUNCT
ejpam-6348	243	1	to	to	PART
ejpam-6348	243	2	further	far	ADV
ejpam-6348	243	3	illustrate	illustrate	VERB
ejpam-6348	243	4	the	the	DET
ejpam-6348	243	5	comparative	comparative	ADJ
ejpam-6348	243	6	convergence	convergence	NOUN
ejpam-6348	243	7	behavior	behavior	NOUN
ejpam-6348	243	8	,	,	PUNCT
ejpam-6348	243	9	figure	figure	VERB
ejpam-6348	243	10	5	5	NUM
ejpam-6348	243	11	shows	show	VERB
ejpam-6348	243	12	the	the	DET
ejpam-6348	243	13	validation	validation	NOUN
ejpam-6348	243	14	accuracy	accuracy	NOUN
ejpam-6348	243	15	progression	progression	NOUN
ejpam-6348	243	16	of	of	ADP
ejpam-6348	243	17	different	different	ADJ
ejpam-6348	243	18	hyperparameter	hyperparameter	NOUN
ejpam-6348	243	19	tuning	tune	VERB
ejpam-6348	243	20	methods	method	NOUN
ejpam-6348	243	21	across	across	ADP
ejpam-6348	243	22	iterations	iteration	NOUN
ejpam-6348	243	23	.	.	PUNCT
ejpam-6348	244	1	as	as	SCONJ
ejpam-6348	244	2	observed	observe	VERB
ejpam-6348	244	3	,	,	PUNCT
ejpam-6348	244	4	the	the	DET
ejpam-6348	244	5	proposed	propose	VERB
ejpam-6348	244	6	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	244	7	framework	framework	NOUN
ejpam-6348	244	8	converges	converge	VERB
ejpam-6348	244	9	faster	fast	ADV
ejpam-6348	244	10	towards	towards	ADP
ejpam-6348	244	11	higher	high	ADJ
ejpam-6348	244	12	validation	validation	NOUN
ejpam-6348	244	13	accuracies	accuracy	NOUN
ejpam-6348	244	14	compared	compare	VERB
ejpam-6348	244	15	to	to	ADP
ejpam-6348	244	16	grid	grid	NOUN
ejpam-6348	244	17	search	search	NOUN
ejpam-6348	244	18	,	,	PUNCT
ejpam-6348	244	19	random	random	ADJ
ejpam-6348	244	20	search	search	NOUN
ejpam-6348	244	21	,	,	PUNCT
ejpam-6348	244	22	bayesian	bayesian	NOUN
ejpam-6348	244	23	optimization	optimization	NOUN
ejpam-6348	244	24	,	,	PUNCT
ejpam-6348	244	25	and	and	CCONJ
ejpam-6348	244	26	genetic	genetic	ADJ
ejpam-6348	244	27	algorithm	algorithm	NOUN
ejpam-6348	244	28	.	.	PUNCT
ejpam-6348	245	1	this	this	PRON
ejpam-6348	245	2	demonstrates	demonstrate	VERB
ejpam-6348	245	3	the	the	DET
ejpam-6348	245	4	framework	framework	NOUN
ejpam-6348	245	5	’s	’s	PART
ejpam-6348	245	6	superior	superior	ADJ
ejpam-6348	245	7	exploration	exploration	NOUN
ejpam-6348	245	8	-	-	PUNCT
ejpam-6348	245	9	exploitation	exploitation	NOUN
ejpam-6348	245	10	balance	balance	NOUN
ejpam-6348	245	11	and	and	CCONJ
ejpam-6348	245	12	efficiency	efficiency	NOUN
ejpam-6348	245	13	.	.	PUNCT
ejpam-6348	246	1	k.	k.	PROPN
ejpam-6348	246	2	danach	danach	PROPN
ejpam-6348	246	3	,	,	PUNCT
ejpam-6348	246	4	w.	w.	PROPN
ejpam-6348	246	5	h.	h.	PROPN
ejpam-6348	246	6	f.	f.	PROPN
ejpam-6348	246	7	aly	aly	PROPN
ejpam-6348	246	8	/	/	SYM
ejpam-6348	246	9	eur	eur	PROPN
ejpam-6348	246	10	.	.	PUNCT
ejpam-6348	247	1	j.	j.	PROPN
ejpam-6348	247	2	pure	pure	PROPN
ejpam-6348	247	3	appl	appl	PROPN
ejpam-6348	247	4	.	.	PROPN
ejpam-6348	247	5	math	math	PROPN
ejpam-6348	247	6	,	,	PUNCT
ejpam-6348	247	7	18	18	NUM
ejpam-6348	247	8	(	(	PUNCT
ejpam-6348	247	9	3	3	NUM
ejpam-6348	247	10	)	)	PUNCT
ejpam-6348	247	11	(	(	PUNCT
ejpam-6348	247	12	2025	2025	NUM
ejpam-6348	247	13	)	)	PUNCT
ejpam-6348	247	14	,	,	PUNCT
ejpam-6348	247	15	6348	6348	NUM
ejpam-6348	247	16	17	17	NUM
ejpam-6348	247	17	of	of	ADP
ejpam-6348	247	18	23	23	NUM
ejpam-6348	247	19	figure	figure	NOUN
ejpam-6348	247	20	5	5	NUM
ejpam-6348	247	21	:	:	PUNCT
ejpam-6348	247	22	comparative	comparative	ADJ
ejpam-6348	247	23	convergence	convergence	NOUN
ejpam-6348	247	24	curves	curve	NOUN
ejpam-6348	247	25	of	of	ADP
ejpam-6348	247	26	validation	validation	NOUN
ejpam-6348	247	27	accuracy	accuracy	NOUN
ejpam-6348	247	28	across	across	ADP
ejpam-6348	247	29	iterations	iteration	NOUN
ejpam-6348	247	30	for	for	ADP
ejpam-6348	247	31	different	different	ADJ
ejpam-6348	247	32	hyperparameter	hyperparameter	NOUN
ejpam-6348	247	33	tuning	tuning	NOUN
ejpam-6348	247	34	methods	method	NOUN
ejpam-6348	247	35	.	.	PUNCT
ejpam-6348	248	1	4.6	4.6	NUM
ejpam-6348	248	2	.	.	PUNCT
ejpam-6348	248	3	computational	computational	ADJ
ejpam-6348	248	4	efficiency	efficiency	NOUN
ejpam-6348	248	5	and	and	CCONJ
ejpam-6348	248	6	scalability	scalability	NOUN
ejpam-6348	248	7	to	to	PART
ejpam-6348	248	8	evaluate	evaluate	VERB
ejpam-6348	248	9	the	the	DET
ejpam-6348	248	10	computational	computational	ADJ
ejpam-6348	248	11	efficiency	efficiency	NOUN
ejpam-6348	248	12	,	,	PUNCT
ejpam-6348	248	13	the	the	DET
ejpam-6348	248	14	speed	speed	NOUN
ejpam-6348	248	15	-	-	PUNCT
ejpam-6348	248	16	up	up	ADP
ejpam-6348	248	17	ratio	ratio	NOUN
ejpam-6348	248	18	s	s	VERB
ejpam-6348	248	19	was	be	AUX
ejpam-6348	248	20	computed	compute	VERB
ejpam-6348	248	21	relative	relative	ADJ
ejpam-6348	248	22	to	to	ADP
ejpam-6348	248	23	grid	grid	NOUN
ejpam-6348	248	24	search	search	NOUN
ejpam-6348	248	25	:	:	PUNCT
ejpam-6348	248	26	s	s	X
ejpam-6348	248	27	=	=	PUNCT
ejpam-6348	248	28	tgs	tgs	PROPN
ejpam-6348	248	29	tmethod	tmethod	NOUN
ejpam-6348	248	30	(	(	PUNCT
ejpam-6348	248	31	8)	8)	NUM
ejpam-6348	248	32	where	where	SCONJ
ejpam-6348	248	33	tgs	tgs	PROPN
ejpam-6348	248	34	is	be	AUX
ejpam-6348	248	35	the	the	DET
ejpam-6348	248	36	execution	execution	NOUN
ejpam-6348	248	37	time	time	NOUN
ejpam-6348	248	38	for	for	ADP
ejpam-6348	248	39	grid	grid	NOUN
ejpam-6348	248	40	search	search	NOUN
ejpam-6348	248	41	and	and	CCONJ
ejpam-6348	248	42	tmethod	tmethod	NOUN
ejpam-6348	248	43	is	be	AUX
ejpam-6348	248	44	the	the	DET
ejpam-6348	248	45	execution	execution	NOUN
ejpam-6348	248	46	time	time	NOUN
ejpam-6348	248	47	for	for	ADP
ejpam-6348	248	48	a	a	DET
ejpam-6348	248	49	given	give	VERB
ejpam-6348	248	50	method	method	NOUN
ejpam-6348	248	51	.	.	PUNCT
ejpam-6348	249	1	table	table	NOUN
ejpam-6348	249	2	2	2	NUM
ejpam-6348	249	3	:	:	PUNCT
ejpam-6348	249	4	computational	computational	ADJ
ejpam-6348	249	5	speed	speed	NOUN
ejpam-6348	249	6	-	-	PUNCT
ejpam-6348	249	7	up	up	ADP
ejpam-6348	249	8	ratio	ratio	NOUN
ejpam-6348	249	9	method	method	NOUN
ejpam-6348	249	10	speed	speed	NOUN
ejpam-6348	249	11	-	-	PUNCT
ejpam-6348	249	12	up	up	ADP
ejpam-6348	249	13	ratio	ratio	NOUN
ejpam-6348	249	14	(	(	PUNCT
ejpam-6348	249	15	s	s	NOUN
ejpam-6348	249	16	)	)	PUNCT
ejpam-6348	249	17	bayesian	bayesian	NOUN
ejpam-6348	249	18	optimization	optimization	NOUN
ejpam-6348	249	19	2.05	2.05	NUM
ejpam-6348	249	20	genetic	genetic	ADJ
ejpam-6348	249	21	algorithm	algorithm	NOUN
ejpam-6348	249	22	2.31	2.31	NUM
ejpam-6348	249	23	ahpqa	ahpqa	ADJ
ejpam-6348	249	24	framework	framework	NOUN
ejpam-6348	249	25	2.98	2.98	NUM
ejpam-6348	249	26	as	as	SCONJ
ejpam-6348	249	27	shown	show	VERB
ejpam-6348	249	28	in	in	ADP
ejpam-6348	249	29	table	table	NOUN
ejpam-6348	249	30	2	2	NUM
ejpam-6348	249	31	,	,	PUNCT
ejpam-6348	249	32	the	the	DET
ejpam-6348	249	33	ahpqa	ahpqa	ADJ
ejpam-6348	249	34	framework	framework	NOUN
ejpam-6348	249	35	achieves	achieve	VERB
ejpam-6348	249	36	the	the	DET
ejpam-6348	249	37	highest	high	ADJ
ejpam-6348	249	38	speed	speed	NOUN
ejpam-6348	249	39	-	-	PUNCT
ejpam-6348	249	40	up	up	NOUN
ejpam-6348	249	41	,	,	PUNCT
ejpam-6348	249	42	being	be	AUX
ejpam-6348	249	43	approximately	approximately	ADV
ejpam-6348	249	44	three	three	NUM
ejpam-6348	249	45	times	time	NOUN
ejpam-6348	249	46	faster	fast	ADJ
ejpam-6348	249	47	than	than	ADP
ejpam-6348	249	48	grid	grid	NOUN
ejpam-6348	249	49	search	search	NOUN
ejpam-6348	249	50	.	.	PUNCT
ejpam-6348	250	1	in	in	ADP
ejpam-6348	250	2	addition	addition	NOUN
ejpam-6348	250	3	to	to	ADP
ejpam-6348	250	4	iteration	iteration	NOUN
ejpam-6348	250	5	-	-	PUNCT
ejpam-6348	250	6	based	base	VERB
ejpam-6348	250	7	convergence	convergence	NOUN
ejpam-6348	250	8	,	,	PUNCT
ejpam-6348	250	9	it	it	PRON
ejpam-6348	250	10	is	be	AUX
ejpam-6348	250	11	important	important	ADJ
ejpam-6348	250	12	to	to	PART
ejpam-6348	250	13	consider	consider	VERB
ejpam-6348	250	14	computational	computational	ADJ
ejpam-6348	250	15	time	time	NOUN
ejpam-6348	250	16	.	.	PUNCT
ejpam-6348	251	1	figure	figure	VERB
ejpam-6348	251	2	6	6	NUM
ejpam-6348	251	3	presents	present	NOUN
ejpam-6348	251	4	validation	validation	NOUN
ejpam-6348	251	5	accuracy	accuracy	NOUN
ejpam-6348	251	6	as	as	ADP
ejpam-6348	251	7	a	a	DET
ejpam-6348	251	8	function	function	NOUN
ejpam-6348	251	9	of	of	ADP
ejpam-6348	251	10	computational	computational	ADJ
ejpam-6348	251	11	time	time	NOUN
ejpam-6348	251	12	.	.	PUNCT
ejpam-6348	252	1	it	it	PRON
ejpam-6348	252	2	is	be	AUX
ejpam-6348	252	3	k.	k.	PROPN
ejpam-6348	252	4	danach	danach	PROPN
ejpam-6348	252	5	,	,	PUNCT
ejpam-6348	252	6	w.	w.	PROPN
ejpam-6348	252	7	h.	h.	PROPN
ejpam-6348	252	8	f.	f.	PROPN
ejpam-6348	252	9	aly	aly	PROPN
ejpam-6348	252	10	/	/	SYM
ejpam-6348	252	11	eur	eur	PROPN
ejpam-6348	252	12	.	.	PUNCT
ejpam-6348	253	1	j.	j.	PROPN
ejpam-6348	253	2	pure	pure	PROPN
ejpam-6348	253	3	appl	appl	PROPN
ejpam-6348	253	4	.	.	PROPN
ejpam-6348	253	5	math	math	PROPN
ejpam-6348	253	6	,	,	PUNCT
ejpam-6348	253	7	18	18	NUM
ejpam-6348	253	8	(	(	PUNCT
ejpam-6348	253	9	3	3	NUM
ejpam-6348	253	10	)	)	PUNCT
ejpam-6348	253	11	(	(	PUNCT
ejpam-6348	253	12	2025	2025	NUM
ejpam-6348	253	13	)	)	PUNCT
ejpam-6348	253	14	,	,	PUNCT
ejpam-6348	253	15	6348	6348	NUM
ejpam-6348	253	16	18	18	NUM
ejpam-6348	253	17	of	of	ADP
ejpam-6348	253	18	23	23	NUM
ejpam-6348	253	19	evident	evident	ADJ
ejpam-6348	253	20	that	that	SCONJ
ejpam-6348	253	21	the	the	DET
ejpam-6348	253	22	ahpqa	ahpqa	ADJ
ejpam-6348	253	23	framework	framework	NOUN
ejpam-6348	253	24	approach	approach	NOUN
ejpam-6348	253	25	achieves	achieve	VERB
ejpam-6348	253	26	higher	high	ADJ
ejpam-6348	253	27	validation	validation	NOUN
ejpam-6348	253	28	accuracies	accuracy	NOUN
ejpam-6348	253	29	in	in	ADP
ejpam-6348	253	30	significantly	significantly	ADV
ejpam-6348	253	31	less	less	ADJ
ejpam-6348	253	32	time	time	NOUN
ejpam-6348	253	33	compared	compare	VERB
ejpam-6348	253	34	to	to	ADP
ejpam-6348	253	35	traditional	traditional	ADJ
ejpam-6348	253	36	and	and	CCONJ
ejpam-6348	253	37	metaheuristic	metaheuristic	ADJ
ejpam-6348	253	38	methods	method	NOUN
ejpam-6348	253	39	,	,	PUNCT
ejpam-6348	253	40	reinforcing	reinforce	VERB
ejpam-6348	253	41	its	its	PRON
ejpam-6348	253	42	suitability	suitability	NOUN
ejpam-6348	253	43	for	for	ADP
ejpam-6348	253	44	time	time	NOUN
ejpam-6348	253	45	-	-	PUNCT
ejpam-6348	253	46	sensitive	sensitive	ADJ
ejpam-6348	253	47	applications	application	NOUN
ejpam-6348	253	48	.	.	PUNCT
ejpam-6348	254	1	figure	figure	VERB
ejpam-6348	254	2	6	6	NUM
ejpam-6348	254	3	:	:	PUNCT
ejpam-6348	254	4	validation	validation	NOUN
ejpam-6348	254	5	accuracy	accuracy	NOUN
ejpam-6348	254	6	progression	progression	NOUN
ejpam-6348	254	7	over	over	ADP
ejpam-6348	254	8	computational	computational	ADJ
ejpam-6348	254	9	time	time	NOUN
ejpam-6348	254	10	for	for	ADP
ejpam-6348	254	11	different	different	ADJ
ejpam-6348	254	12	hyperparameter	hyperparameter	NOUN
ejpam-6348	254	13	tuning	tuning	NOUN
ejpam-6348	254	14	methods	method	NOUN
ejpam-6348	254	15	.	.	PUNCT
ejpam-6348	255	1	a	a	DET
ejpam-6348	255	2	comparative	comparative	ADJ
ejpam-6348	255	3	analysis	analysis	NOUN
ejpam-6348	255	4	of	of	ADP
ejpam-6348	255	5	total	total	ADJ
ejpam-6348	255	6	computational	computational	ADJ
ejpam-6348	255	7	time	time	NOUN
ejpam-6348	255	8	required	require	VERB
ejpam-6348	255	9	by	by	ADP
ejpam-6348	255	10	each	each	DET
ejpam-6348	255	11	method	method	NOUN
ejpam-6348	255	12	is	be	AUX
ejpam-6348	255	13	presented	present	VERB
ejpam-6348	255	14	in	in	ADP
ejpam-6348	255	15	figure	figure	NOUN
ejpam-6348	255	16	7	7	NUM
ejpam-6348	255	17	.	.	PUNCT
ejpam-6348	256	1	the	the	DET
ejpam-6348	256	2	ahpqa	ahpqa	ADJ
ejpam-6348	256	3	framework	framework	NOUN
ejpam-6348	256	4	significantly	significantly	ADV
ejpam-6348	256	5	reduces	reduce	VERB
ejpam-6348	256	6	computational	computational	ADJ
ejpam-6348	256	7	overhead	overhead	NOUN
ejpam-6348	256	8	,	,	PUNCT
ejpam-6348	256	9	completing	complete	VERB
ejpam-6348	256	10	the	the	DET
ejpam-6348	256	11	tuning	tuning	NOUN
ejpam-6348	256	12	process	process	NOUN
ejpam-6348	256	13	nearly	nearly	ADV
ejpam-6348	256	14	three	three	NUM
ejpam-6348	256	15	times	time	NOUN
ejpam-6348	256	16	faster	fast	ADJ
ejpam-6348	256	17	than	than	SCONJ
ejpam-6348	256	18	grid	grid	VERB
ejpam-6348	256	19	search	search	NOUN
ejpam-6348	256	20	and	and	CCONJ
ejpam-6348	256	21	outperforming	outperform	VERB
ejpam-6348	256	22	random	random	ADJ
ejpam-6348	256	23	search	search	NOUN
ejpam-6348	256	24	,	,	PUNCT
ejpam-6348	256	25	bayesian	bayesian	NOUN
ejpam-6348	256	26	optimization	optimization	NOUN
ejpam-6348	256	27	,	,	PUNCT
ejpam-6348	256	28	and	and	CCONJ
ejpam-6348	256	29	genetic	genetic	ADJ
ejpam-6348	256	30	algorithms	algorithm	NOUN
ejpam-6348	256	31	.	.	PUNCT
ejpam-6348	257	1	k.	k.	PROPN
ejpam-6348	257	2	danach	danach	PROPN
ejpam-6348	257	3	,	,	PUNCT
ejpam-6348	257	4	w.	w.	PROPN
ejpam-6348	257	5	h.	h.	PROPN
ejpam-6348	257	6	f.	f.	PROPN
ejpam-6348	257	7	aly	aly	PROPN
ejpam-6348	257	8	/	/	SYM
ejpam-6348	257	9	eur	eur	PROPN
ejpam-6348	257	10	.	.	PUNCT
ejpam-6348	258	1	j.	j.	PROPN
ejpam-6348	258	2	pure	pure	PROPN
ejpam-6348	258	3	appl	appl	PROPN
ejpam-6348	258	4	.	.	PROPN
ejpam-6348	258	5	math	math	PROPN
ejpam-6348	258	6	,	,	PUNCT
ejpam-6348	258	7	18	18	NUM
ejpam-6348	258	8	(	(	PUNCT
ejpam-6348	258	9	3	3	NUM
ejpam-6348	258	10	)	)	PUNCT
ejpam-6348	258	11	(	(	PUNCT
ejpam-6348	258	12	2025	2025	NUM
ejpam-6348	258	13	)	)	PUNCT
ejpam-6348	258	14	,	,	PUNCT
ejpam-6348	258	15	6348	6348	NUM
ejpam-6348	258	16	19	19	NUM
ejpam-6348	258	17	of	of	ADP
ejpam-6348	258	18	23	23	NUM
ejpam-6348	258	19	figure	figure	NOUN
ejpam-6348	258	20	7	7	NUM
ejpam-6348	258	21	:	:	PUNCT
ejpam-6348	258	22	computational	computational	ADJ
ejpam-6348	258	23	response	response	NOUN
ejpam-6348	258	24	time	time	NOUN
ejpam-6348	258	25	comparison	comparison	NOUN
ejpam-6348	258	26	across	across	ADP
ejpam-6348	258	27	different	different	ADJ
ejpam-6348	258	28	hyperparameter	hyperparameter	NOUN
ejpam-6348	258	29	tuning	tuning	NOUN
ejpam-6348	258	30	methods	method	NOUN
ejpam-6348	258	31	.	.	PUNCT
ejpam-6348	259	1	4.7	4.7	NUM
ejpam-6348	259	2	.	.	PUNCT
ejpam-6348	259	3	discussion	discussion	NOUN
ejpam-6348	259	4	the	the	DET
ejpam-6348	259	5	experimental	experimental	ADJ
ejpam-6348	259	6	results	result	NOUN
ejpam-6348	259	7	demonstrate	demonstrate	VERB
ejpam-6348	259	8	that	that	SCONJ
ejpam-6348	259	9	the	the	DET
ejpam-6348	259	10	proposed	propose	VERB
ejpam-6348	259	11	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	259	12	framework	framework	NOUN
ejpam-6348	259	13	offers	offer	VERB
ejpam-6348	259	14	several	several	ADJ
ejpam-6348	259	15	advantages	advantage	NOUN
ejpam-6348	259	16	:	:	PUNCT
ejpam-6348	259	17	•	•	NUM
ejpam-6348	259	18	higher	high	ADJ
ejpam-6348	259	19	model	model	NOUN
ejpam-6348	259	20	performance	performance	NOUN
ejpam-6348	259	21	compared	compare	VERB
ejpam-6348	259	22	to	to	ADP
ejpam-6348	259	23	traditional	traditional	ADJ
ejpam-6348	259	24	methods	method	NOUN
ejpam-6348	259	25	.	.	PUNCT
ejpam-6348	260	1	•	•	NUM
ejpam-6348	260	2	faster	fast	ADJ
ejpam-6348	260	3	convergence	convergence	NOUN
ejpam-6348	260	4	with	with	ADP
ejpam-6348	260	5	fewer	few	ADJ
ejpam-6348	260	6	iterations	iteration	NOUN
ejpam-6348	260	7	.	.	PUNCT
ejpam-6348	261	1	•	•	NUM
ejpam-6348	261	2	improved	improve	VERB
ejpam-6348	261	3	computational	computational	ADJ
ejpam-6348	261	4	efficiency	efficiency	NOUN
ejpam-6348	261	5	,	,	PUNCT
ejpam-6348	261	6	reducing	reduce	VERB
ejpam-6348	261	7	tuning	tuning	NOUN
ejpam-6348	261	8	time	time	NOUN
ejpam-6348	261	9	by	by	ADP
ejpam-6348	261	10	up	up	ADP
ejpam-6348	261	11	to	to	PART
ejpam-6348	261	12	58	58	NUM
ejpam-6348	261	13	%	%	NOUN
ejpam-6348	261	14	.	.	PUNCT
ejpam-6348	262	1	•	•	NUM
ejpam-6348	262	2	effective	effective	ADJ
ejpam-6348	262	3	balance	balance	NOUN
ejpam-6348	262	4	between	between	ADP
ejpam-6348	262	5	exploration	exploration	NOUN
ejpam-6348	262	6	and	and	CCONJ
ejpam-6348	262	7	exploitation	exploitation	NOUN
ejpam-6348	262	8	due	due	ADP
ejpam-6348	262	9	to	to	ADP
ejpam-6348	262	10	q	q	ADJ
ejpam-6348	262	11	-	-	PUNCT
ejpam-6348	262	12	learning	learning	NOUN
ejpam-6348	262	13	-	-	PUNCT
ejpam-6348	262	14	based	base	VERB
ejpam-6348	262	15	heuristic	heuristic	ADJ
ejpam-6348	262	16	selection	selection	NOUN
ejpam-6348	262	17	.	.	PUNCT
ejpam-6348	263	1	overall	overall	ADV
ejpam-6348	263	2	,	,	PUNCT
ejpam-6348	263	3	the	the	DET
ejpam-6348	263	4	results	result	NOUN
ejpam-6348	263	5	confirm	confirm	VERB
ejpam-6348	263	6	that	that	SCONJ
ejpam-6348	263	7	ahpqa	ahpqa	ADJ
ejpam-6348	263	8	framework	framework	NOUN
ejpam-6348	263	9	is	be	AUX
ejpam-6348	263	10	a	a	DET
ejpam-6348	263	11	promising	promising	ADJ
ejpam-6348	263	12	alternative	alternative	NOUN
ejpam-6348	263	13	to	to	ADP
ejpam-6348	263	14	existing	exist	VERB
ejpam-6348	263	15	optimization	optimization	NOUN
ejpam-6348	263	16	techniques	technique	NOUN
ejpam-6348	263	17	.	.	PUNCT
ejpam-6348	264	1	5	5	X
ejpam-6348	264	2	.	.	X
ejpam-6348	264	3	conclusion	conclusion	NOUN
ejpam-6348	264	4	and	and	CCONJ
ejpam-6348	264	5	future	future	ADJ
ejpam-6348	264	6	work	work	NOUN
ejpam-6348	264	7	this	this	DET
ejpam-6348	264	8	paper	paper	NOUN
ejpam-6348	264	9	proposed	propose	VERB
ejpam-6348	264	10	an	an	DET
ejpam-6348	264	11	adaptive	adaptive	ADJ
ejpam-6348	264	12	hyperheuristic	hyperheuristic	ADJ
ejpam-6348	264	13	framework	framework	NOUN
ejpam-6348	264	14	for	for	ADP
ejpam-6348	264	15	hyperparameter	hyperparameter	NOUN
ejpam-6348	264	16	tuning	tuning	NOUN
ejpam-6348	264	17	,	,	PUNCT
ejpam-6348	264	18	integrating	integrate	VERB
ejpam-6348	264	19	q	q	ADJ
ejpam-6348	264	20	-	-	PUNCT
ejpam-6348	264	21	learning	learning	NOUN
ejpam-6348	264	22	-	-	PUNCT
ejpam-6348	264	23	based	base	VERB
ejpam-6348	264	24	heuristic	heuristic	ADJ
ejpam-6348	264	25	selection	selection	NOUN
ejpam-6348	264	26	with	with	ADP
ejpam-6348	264	27	simulated	simulate	VERB
ejpam-6348	264	28	annealing	anneal	VERB
ejpam-6348	264	29	acceptance	acceptance	NOUN
ejpam-6348	264	30	criteria	criterion	NOUN
ejpam-6348	264	31	.	.	PUNCT
ejpam-6348	265	1	the	the	DET
ejpam-6348	265	2	proposed	propose	VERB
ejpam-6348	265	3	framework	framework	NOUN
ejpam-6348	265	4	is	be	AUX
ejpam-6348	265	5	referred	refer	VERB
ejpam-6348	265	6	to	to	ADP
ejpam-6348	265	7	as	as	ADP
ejpam-6348	265	8	ahpqa	ahpqa	ADJ
ejpam-6348	265	9	framework	framework	NOUN
ejpam-6348	265	10	.	.	PUNCT
ejpam-6348	266	1	unlike	unlike	ADP
ejpam-6348	266	2	traditional	traditional	ADJ
ejpam-6348	266	3	tuning	tuning	NOUN
ejpam-6348	266	4	approaches	approach	NOUN
ejpam-6348	266	5	such	such	ADJ
ejpam-6348	266	6	as	as	ADP
ejpam-6348	266	7	grid	grid	NOUN
ejpam-6348	266	8	search	search	NOUN
ejpam-6348	266	9	,	,	PUNCT
ejpam-6348	266	10	random	random	ADJ
ejpam-6348	266	11	search	search	NOUN
ejpam-6348	266	12	,	,	PUNCT
ejpam-6348	266	13	and	and	CCONJ
ejpam-6348	266	14	bayesian	bayesian	NOUN
ejpam-6348	266	15	optimization	optimization	NOUN
ejpam-6348	266	16	,	,	PUNCT
ejpam-6348	266	17	k.	k.	PROPN
ejpam-6348	266	18	danach	danach	PROPN
ejpam-6348	266	19	,	,	PUNCT
ejpam-6348	266	20	w.	w.	PROPN
ejpam-6348	266	21	h.	h.	PROPN
ejpam-6348	266	22	f.	f.	PROPN
ejpam-6348	266	23	aly	aly	PROPN
ejpam-6348	266	24	/	/	SYM
ejpam-6348	266	25	eur	eur	PROPN
ejpam-6348	266	26	.	.	PUNCT
ejpam-6348	267	1	j.	j.	PROPN
ejpam-6348	267	2	pure	pure	PROPN
ejpam-6348	267	3	appl	appl	PROPN
ejpam-6348	267	4	.	.	PROPN
ejpam-6348	267	5	math	math	PROPN
ejpam-6348	267	6	,	,	PUNCT
ejpam-6348	267	7	18	18	NUM
ejpam-6348	267	8	(	(	PUNCT
ejpam-6348	267	9	3	3	NUM
ejpam-6348	267	10	)	)	PUNCT
ejpam-6348	267	11	(	(	PUNCT
ejpam-6348	267	12	2025	2025	NUM
ejpam-6348	267	13	)	)	PUNCT
ejpam-6348	267	14	,	,	PUNCT
ejpam-6348	267	15	6348	6348	NUM
ejpam-6348	267	16	20	20	NUM
ejpam-6348	267	17	of	of	ADP
ejpam-6348	267	18	23	23	NUM
ejpam-6348	267	19	the	the	DET
ejpam-6348	267	20	ahpqa	ahpqa	ADJ
ejpam-6348	267	21	framework	framework	NOUN
ejpam-6348	267	22	method	method	NOUN
ejpam-6348	267	23	dynamically	dynamically	ADV
ejpam-6348	267	24	selects	select	VERB
ejpam-6348	267	25	the	the	DET
ejpam-6348	267	26	most	most	ADV
ejpam-6348	267	27	suitable	suitable	ADJ
ejpam-6348	267	28	low	low	ADJ
ejpam-6348	267	29	-	-	PUNCT
ejpam-6348	267	30	level	level	NOUN
ejpam-6348	267	31	heuristic	heuristic	NOUN
ejpam-6348	267	32	,	,	PUNCT
ejpam-6348	267	33	leveraging	leverage	VERB
ejpam-6348	267	34	a	a	DET
ejpam-6348	267	35	reinforcement	reinforcement	NOUN
ejpam-6348	267	36	learning	learning	NOUN
ejpam-6348	267	37	-	-	PUNCT
ejpam-6348	267	38	based	base	VERB
ejpam-6348	267	39	strategy	strategy	NOUN
ejpam-6348	267	40	.	.	PUNCT
ejpam-6348	268	1	the	the	DET
ejpam-6348	268	2	ahpqa	ahpqa	ADJ
ejpam-6348	268	3	framework	framework	NOUN
ejpam-6348	268	4	categorizes	categorize	VERB
ejpam-6348	268	5	low	low	ADJ
ejpam-6348	268	6	-	-	PUNCT
ejpam-6348	268	7	level	level	NOUN
ejpam-6348	268	8	heuristics	heuristic	NOUN
ejpam-6348	268	9	into	into	ADP
ejpam-6348	268	10	constructive	constructive	ADJ
ejpam-6348	268	11	,	,	PUNCT
ejpam-6348	268	12	improvement	improvement	NOUN
ejpam-6348	268	13	,	,	PUNCT
ejpam-6348	268	14	and	and	CCONJ
ejpam-6348	268	15	perturbation	perturbation	NOUN
ejpam-6348	268	16	heuristics	heuristic	NOUN
ejpam-6348	268	17	,	,	PUNCT
ejpam-6348	268	18	ensuring	ensure	VERB
ejpam-6348	268	19	a	a	DET
ejpam-6348	268	20	diverse	diverse	ADJ
ejpam-6348	268	21	and	and	CCONJ
ejpam-6348	268	22	effective	effective	ADJ
ejpam-6348	268	23	exploration	exploration	NOUN
ejpam-6348	268	24	-	-	PUNCT
ejpam-6348	268	25	exploitation	exploitation	NOUN
ejpam-6348	268	26	balance	balance	NOUN
ejpam-6348	268	27	.	.	PUNCT
ejpam-6348	269	1	experimental	experimental	ADJ
ejpam-6348	269	2	results	result	NOUN
ejpam-6348	269	3	demonstrated	demonstrate	VERB
ejpam-6348	269	4	the	the	DET
ejpam-6348	269	5	superiority	superiority	NOUN
ejpam-6348	269	6	of	of	ADP
ejpam-6348	269	7	the	the	DET
ejpam-6348	269	8	ahpqa	ahpqa	ADJ
ejpam-6348	269	9	framework	framework	NOUN
ejpam-6348	269	10	across	across	ADP
ejpam-6348	269	11	various	various	ADJ
ejpam-6348	269	12	machine	machine	NOUN
ejpam-6348	269	13	learning	learning	NOUN
ejpam-6348	269	14	models	model	NOUN
ejpam-6348	269	15	,	,	PUNCT
ejpam-6348	269	16	including	include	VERB
ejpam-6348	269	17	deep	deep	ADJ
ejpam-6348	269	18	learning	learning	NOUN
ejpam-6348	269	19	and	and	CCONJ
ejpam-6348	269	20	ensemble	ensemble	ADJ
ejpam-6348	269	21	learning	learning	NOUN
ejpam-6348	269	22	architectures	architecture	NOUN
ejpam-6348	269	23	.	.	PUNCT
ejpam-6348	270	1	the	the	DET
ejpam-6348	270	2	comparative	comparative	ADJ
ejpam-6348	270	3	analysis	analysis	NOUN
ejpam-6348	270	4	showed	show	VERB
ejpam-6348	270	5	that	that	SCONJ
ejpam-6348	270	6	the	the	DET
ejpam-6348	270	7	hyperheuristic	hyperheuristic	ADV
ejpam-6348	270	8	-	-	PUNCT
ejpam-6348	270	9	based	base	VERB
ejpam-6348	270	10	tuning	tuning	NOUN
ejpam-6348	270	11	method	method	NOUN
ejpam-6348	270	12	.	.	PUNCT
ejpam-6348	271	1	the	the	DET
ejpam-6348	271	2	ahpqa	ahpqa	ADJ
ejpam-6348	271	3	framework	framework	NOUN
ejpam-6348	271	4	achieved	achieve	VERB
ejpam-6348	271	5	the	the	DET
ejpam-6348	271	6	highest	high	ADJ
ejpam-6348	271	7	model	model	NOUN
ejpam-6348	271	8	accuracy	accuracy	NOUN
ejpam-6348	271	9	of	of	ADP
ejpam-6348	271	10	92.4	92.4	NUM
ejpam-6348	271	11	%	%	NOUN
ejpam-6348	271	12	while	while	SCONJ
ejpam-6348	271	13	significantly	significantly	ADV
ejpam-6348	271	14	reducing	reduce	VERB
ejpam-6348	271	15	the	the	DET
ejpam-6348	271	16	number	number	NOUN
ejpam-6348	271	17	of	of	ADP
ejpam-6348	271	18	function	function	NOUN
ejpam-6348	271	19	evaluations	evaluation	NOUN
ejpam-6348	271	20	.	.	PUNCT
ejpam-6348	272	1	it	it	PRON
ejpam-6348	272	2	demonstrated	demonstrate	VERB
ejpam-6348	272	3	enhanced	enhanced	ADJ
ejpam-6348	272	4	computational	computational	ADJ
ejpam-6348	272	5	efficiency	efficiency	NOUN
ejpam-6348	272	6	by	by	ADP
ejpam-6348	272	7	decreasing	decrease	VERB
ejpam-6348	272	8	tuning	tuning	NOUN
ejpam-6348	272	9	time	time	NOUN
ejpam-6348	272	10	by	by	ADP
ejpam-6348	272	11	up	up	ADP
ejpam-6348	272	12	to	to	PART
ejpam-6348	272	13	58	58	NUM
ejpam-6348	272	14	%	%	NOUN
ejpam-6348	272	15	compared	compare	VERB
ejpam-6348	272	16	to	to	ADP
ejpam-6348	272	17	grid	grid	NOUN
ejpam-6348	272	18	search	search	NOUN
ejpam-6348	272	19	,	,	PUNCT
ejpam-6348	272	20	and	and	CCONJ
ejpam-6348	272	21	it	it	PRON
ejpam-6348	272	22	converged	converge	VERB
ejpam-6348	272	23	more	more	ADV
ejpam-6348	272	24	quickly	quickly	ADV
ejpam-6348	272	25	than	than	ADP
ejpam-6348	272	26	both	both	DET
ejpam-6348	272	27	bayesian	bayesian	NOUN
ejpam-6348	272	28	optimization	optimization	NOUN
ejpam-6348	272	29	and	and	CCONJ
ejpam-6348	272	30	metaheuristic	metaheuristic	ADV
ejpam-6348	272	31	-	-	PUNCT
ejpam-6348	272	32	based	base	VERB
ejpam-6348	272	33	methods	method	NOUN
ejpam-6348	272	34	.	.	PUNCT
ejpam-6348	273	1	the	the	DET
ejpam-6348	273	2	performance	performance	NOUN
ejpam-6348	273	3	improvements	improvement	NOUN
ejpam-6348	273	4	were	be	AUX
ejpam-6348	273	5	statistically	statistically	ADV
ejpam-6348	273	6	significant	significant	ADJ
ejpam-6348	273	7	,	,	PUNCT
ejpam-6348	273	8	as	as	SCONJ
ejpam-6348	273	9	confirmed	confirm	VERB
ejpam-6348	273	10	by	by	ADP
ejpam-6348	273	11	wilcoxon	wilcoxon	ADJ
ejpam-6348	273	12	signed	sign	VERB
ejpam-6348	273	13	-	-	PUNCT
ejpam-6348	273	14	rank	rank	NOUN
ejpam-6348	273	15	tests	test	NOUN
ejpam-6348	273	16	.	.	PUNCT
ejpam-6348	274	1	the	the	DET
ejpam-6348	274	2	findings	finding	NOUN
ejpam-6348	274	3	highlight	highlight	VERB
ejpam-6348	274	4	the	the	DET
ejpam-6348	274	5	potential	potential	NOUN
ejpam-6348	274	6	of	of	ADP
ejpam-6348	274	7	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	274	8	in	in	ADP
ejpam-6348	274	9	addressing	address	VERB
ejpam-6348	274	10	the	the	DET
ejpam-6348	274	11	inefficiencies	inefficiency	NOUN
ejpam-6348	274	12	of	of	ADP
ejpam-6348	274	13	conventional	conventional	ADJ
ejpam-6348	274	14	hyperparameter	hyperparameter	NOUN
ejpam-6348	274	15	tuning	tune	VERB
ejpam-6348	274	16	techniques	technique	NOUN
ejpam-6348	274	17	.	.	PUNCT
ejpam-6348	275	1	the	the	DET
ejpam-6348	275	2	proposed	propose	VERB
ejpam-6348	275	3	method	method	NOUN
ejpam-6348	275	4	provides	provide	VERB
ejpam-6348	275	5	a	a	DET
ejpam-6348	275	6	scalable	scalable	ADJ
ejpam-6348	275	7	and	and	CCONJ
ejpam-6348	275	8	generalizable	generalizable	ADJ
ejpam-6348	275	9	solution	solution	NOUN
ejpam-6348	275	10	,	,	PUNCT
ejpam-6348	275	11	applicable	applicable	ADJ
ejpam-6348	275	12	to	to	ADP
ejpam-6348	275	13	various	various	ADJ
ejpam-6348	275	14	domains	domain	NOUN
ejpam-6348	275	15	such	such	ADJ
ejpam-6348	275	16	as	as	ADP
ejpam-6348	275	17	healthcare	healthcare	NOUN
ejpam-6348	275	18	,	,	PUNCT
ejpam-6348	275	19	finance	finance	NOUN
ejpam-6348	275	20	,	,	PUNCT
ejpam-6348	275	21	cybersecurity	cybersecurity	NOUN
ejpam-6348	275	22	,	,	PUNCT
ejpam-6348	275	23	and	and	CCONJ
ejpam-6348	275	24	natural	natural	ADJ
ejpam-6348	275	25	language	language	NOUN
ejpam-6348	275	26	processing	processing	NOUN
ejpam-6348	275	27	.	.	PUNCT
ejpam-6348	276	1	while	while	SCONJ
ejpam-6348	276	2	the	the	DET
ejpam-6348	276	3	ahpqa	ahpqa	ADJ
ejpam-6348	276	4	framework	framework	NOUN
ejpam-6348	276	5	demonstrated	demonstrate	VERB
ejpam-6348	276	6	promising	promising	ADJ
ejpam-6348	276	7	results	result	NOUN
ejpam-6348	276	8	,	,	PUNCT
ejpam-6348	276	9	several	several	ADJ
ejpam-6348	276	10	future	future	ADJ
ejpam-6348	276	11	research	research	NOUN
ejpam-6348	276	12	directions	direction	NOUN
ejpam-6348	276	13	remain	remain	VERB
ejpam-6348	276	14	open	open	ADJ
ejpam-6348	276	15	.	.	PUNCT
ejpam-6348	277	1	these	these	PRON
ejpam-6348	277	2	include	include	VERB
ejpam-6348	277	3	extending	extend	VERB
ejpam-6348	277	4	the	the	DET
ejpam-6348	277	5	approach	approach	NOUN
ejpam-6348	277	6	to	to	ADP
ejpam-6348	277	7	reinforcement	reinforcement	NOUN
ejpam-6348	277	8	learning	learning	NOUN
ejpam-6348	277	9	environments	environment	NOUN
ejpam-6348	277	10	for	for	ADP
ejpam-6348	277	11	dynamic	dynamic	ADJ
ejpam-6348	277	12	hyperparameter	hyperparameter	NOUN
ejpam-6348	277	13	optimization	optimization	NOUN
ejpam-6348	277	14	during	during	ADP
ejpam-6348	277	15	agent	agent	NOUN
ejpam-6348	277	16	training	training	NOUN
ejpam-6348	277	17	,	,	PUNCT
ejpam-6348	277	18	and	and	CCONJ
ejpam-6348	277	19	integrating	integrate	VERB
ejpam-6348	277	20	explainable	explainable	ADJ
ejpam-6348	277	21	ai	ai	NOUN
ejpam-6348	277	22	(	(	PUNCT
ejpam-6348	277	23	xai	xai	PROPN
ejpam-6348	277	24	)	)	PUNCT
ejpam-6348	277	25	techniques	technique	NOUN
ejpam-6348	277	26	to	to	PART
ejpam-6348	277	27	enhance	enhance	VERB
ejpam-6348	277	28	the	the	DET
ejpam-6348	277	29	interpretability	interpretability	NOUN
ejpam-6348	277	30	of	of	ADP
ejpam-6348	277	31	heuristic	heuristic	ADJ
ejpam-6348	277	32	selection	selection	NOUN
ejpam-6348	277	33	.	.	PUNCT
ejpam-6348	278	1	additionally	additionally	ADV
ejpam-6348	278	2	,	,	PUNCT
ejpam-6348	278	3	exploring	explore	VERB
ejpam-6348	278	4	hybrid	hybrid	ADJ
ejpam-6348	278	5	strategies	strategy	NOUN
ejpam-6348	278	6	that	that	PRON
ejpam-6348	278	7	combine	combine	VERB
ejpam-6348	278	8	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	278	9	with	with	ADP
ejpam-6348	278	10	deep	deep	ADJ
ejpam-6348	278	11	learning	learning	NOUN
ejpam-6348	278	12	-	-	PUNCT
ejpam-6348	278	13	based	base	VERB
ejpam-6348	278	14	surrogate	surrogate	ADJ
ejpam-6348	278	15	models	model	NOUN
ejpam-6348	278	16	may	may	AUX
ejpam-6348	278	17	support	support	VERB
ejpam-6348	278	18	cost	cost	NOUN
ejpam-6348	278	19	-	-	PUNCT
ejpam-6348	278	20	aware	aware	ADJ
ejpam-6348	278	21	hyperparameter	hyperparameter	NOUN
ejpam-6348	278	22	tuning	tune	VERB
ejpam-6348	278	23	.	.	PUNCT
ejpam-6348	279	1	finally	finally	ADV
ejpam-6348	279	2	,	,	PUNCT
ejpam-6348	279	3	adapting	adapt	VERB
ejpam-6348	279	4	the	the	DET
ejpam-6348	279	5	framework	framework	NOUN
ejpam-6348	279	6	for	for	ADP
ejpam-6348	279	7	large	large	ADJ
ejpam-6348	279	8	-	-	PUNCT
ejpam-6348	279	9	scale	scale	NOUN
ejpam-6348	279	10	distributed	distribute	VERB
ejpam-6348	279	11	systems	system	NOUN
ejpam-6348	279	12	and	and	CCONJ
ejpam-6348	279	13	cloud	cloud	NOUN
ejpam-6348	279	14	-	-	PUNCT
ejpam-6348	279	15	based	base	VERB
ejpam-6348	279	16	machine	machine	NOUN
ejpam-6348	279	17	learning	learning	NOUN
ejpam-6348	279	18	platforms	platform	NOUN
ejpam-6348	279	19	could	could	AUX
ejpam-6348	279	20	significantly	significantly	ADV
ejpam-6348	279	21	improve	improve	VERB
ejpam-6348	279	22	its	its	PRON
ejpam-6348	279	23	scalability	scalability	NOUN
ejpam-6348	279	24	.	.	PUNCT
ejpam-6348	280	1	further	further	ADJ
ejpam-6348	280	2	extensions	extension	NOUN
ejpam-6348	280	3	may	may	AUX
ejpam-6348	280	4	involve	involve	VERB
ejpam-6348	280	5	adapting	adapt	VERB
ejpam-6348	280	6	the	the	DET
ejpam-6348	280	7	ahpqa	ahpqa	ADJ
ejpam-6348	280	8	framework	framework	NOUN
ejpam-6348	280	9	to	to	PART
ejpam-6348	280	10	support	support	VERB
ejpam-6348	280	11	online	online	ADV
ejpam-6348	280	12	or	or	CCONJ
ejpam-6348	280	13	streaming	streaming	NOUN
ejpam-6348	280	14	hyperparameter	hyperparameter	NOUN
ejpam-6348	280	15	optimization	optimization	NOUN
ejpam-6348	280	16	,	,	PUNCT
ejpam-6348	280	17	where	where	SCONJ
ejpam-6348	280	18	models	model	NOUN
ejpam-6348	280	19	are	be	AUX
ejpam-6348	280	20	continuously	continuously	ADV
ejpam-6348	280	21	refined	refine	VERB
ejpam-6348	280	22	in	in	ADP
ejpam-6348	280	23	realtime	realtime	NOUN
ejpam-6348	280	24	,	,	PUNCT
ejpam-6348	280	25	particularly	particularly	ADV
ejpam-6348	280	26	for	for	ADP
ejpam-6348	280	27	non	non	ADJ
ejpam-6348	280	28	-	-	ADJ
ejpam-6348	280	29	stationary	stationary	ADJ
ejpam-6348	280	30	data	datum	NOUN
ejpam-6348	280	31	environments	environment	NOUN
ejpam-6348	280	32	.	.	PUNCT
ejpam-6348	281	1	in	in	ADP
ejpam-6348	281	2	such	such	ADJ
ejpam-6348	281	3	contexts	context	NOUN
ejpam-6348	281	4	,	,	PUNCT
ejpam-6348	281	5	the	the	DET
ejpam-6348	281	6	framework	framework	NOUN
ejpam-6348	281	7	’s	’s	PART
ejpam-6348	281	8	ability	ability	NOUN
ejpam-6348	281	9	to	to	PART
ejpam-6348	281	10	dynamically	dynamically	ADV
ejpam-6348	281	11	switch	switch	VERB
ejpam-6348	281	12	heuristics	heuristic	NOUN
ejpam-6348	281	13	could	could	AUX
ejpam-6348	281	14	be	be	AUX
ejpam-6348	281	15	leveraged	leverage	VERB
ejpam-6348	281	16	to	to	PART
ejpam-6348	281	17	maintain	maintain	VERB
ejpam-6348	281	18	performance	performance	NOUN
ejpam-6348	281	19	stability	stability	NOUN
ejpam-6348	281	20	.	.	PUNCT
ejpam-6348	282	1	moreover	moreover	ADV
ejpam-6348	282	2	,	,	PUNCT
ejpam-6348	282	3	federated	federated	ADJ
ejpam-6348	282	4	or	or	CCONJ
ejpam-6348	282	5	privacy	privacy	NOUN
ejpam-6348	282	6	-	-	PUNCT
ejpam-6348	282	7	preserving	preserve	VERB
ejpam-6348	282	8	adaptations	adaptation	NOUN
ejpam-6348	282	9	of	of	ADP
ejpam-6348	282	10	ahpqa	ahpqa	NOUN
ejpam-6348	282	11	could	could	AUX
ejpam-6348	282	12	be	be	AUX
ejpam-6348	282	13	developed	develop	VERB
ejpam-6348	282	14	for	for	ADP
ejpam-6348	282	15	sensitive	sensitive	ADJ
ejpam-6348	282	16	domains	domain	NOUN
ejpam-6348	282	17	such	such	ADJ
ejpam-6348	282	18	as	as	ADP
ejpam-6348	282	19	healthcare	healthcare	NOUN
ejpam-6348	282	20	and	and	CCONJ
ejpam-6348	282	21	finance	finance	NOUN
ejpam-6348	282	22	.	.	PUNCT
ejpam-6348	283	1	these	these	DET
ejpam-6348	283	2	distributed	distribute	VERB
ejpam-6348	283	3	variants	variant	NOUN
ejpam-6348	283	4	would	would	AUX
ejpam-6348	283	5	enable	enable	VERB
ejpam-6348	283	6	localized	localized	ADJ
ejpam-6348	283	7	tuning	tuning	NOUN
ejpam-6348	283	8	while	while	SCONJ
ejpam-6348	283	9	minimizing	minimize	VERB
ejpam-6348	283	10	data	datum	NOUN
ejpam-6348	283	11	transfer	transfer	NOUN
ejpam-6348	283	12	,	,	PUNCT
ejpam-6348	283	13	aligning	align	VERB
ejpam-6348	283	14	with	with	ADP
ejpam-6348	283	15	modern	modern	ADJ
ejpam-6348	283	16	trends	trend	NOUN
ejpam-6348	283	17	in	in	ADP
ejpam-6348	283	18	edge	edge	NOUN
ejpam-6348	283	19	computing	computing	NOUN
ejpam-6348	283	20	and	and	CCONJ
ejpam-6348	283	21	decentralized	decentralize	VERB
ejpam-6348	283	22	ai	ai	VERB
ejpam-6348	283	23	.	.	PUNCT
ejpam-6348	284	1	collectively	collectively	ADV
ejpam-6348	284	2	,	,	PUNCT
ejpam-6348	284	3	these	these	DET
ejpam-6348	284	4	directions	direction	NOUN
ejpam-6348	284	5	aim	aim	VERB
ejpam-6348	284	6	to	to	PART
ejpam-6348	284	7	enhance	enhance	VERB
ejpam-6348	284	8	the	the	DET
ejpam-6348	284	9	framework	framework	NOUN
ejpam-6348	284	10	’s	’s	PART
ejpam-6348	284	11	flexibility	flexibility	NOUN
ejpam-6348	284	12	,	,	PUNCT
ejpam-6348	284	13	interpretability	interpretability	NOUN
ejpam-6348	284	14	,	,	PUNCT
ejpam-6348	284	15	and	and	CCONJ
ejpam-6348	284	16	deployment	deployment	NOUN
ejpam-6348	284	17	-	-	PUNCT
ejpam-6348	284	18	readiness	readiness	NOUN
ejpam-6348	284	19	,	,	PUNCT
ejpam-6348	284	20	ensuring	ensure	VERB
ejpam-6348	284	21	broader	broad	ADJ
ejpam-6348	284	22	applicability	applicability	NOUN
ejpam-6348	284	23	across	across	ADP
ejpam-6348	284	24	dynamic	dynamic	ADJ
ejpam-6348	284	25	,	,	PUNCT
ejpam-6348	284	26	missioncritical	missioncritical	ADJ
ejpam-6348	284	27	,	,	PUNCT
ejpam-6348	284	28	and	and	CCONJ
ejpam-6348	284	29	large	large	ADJ
ejpam-6348	284	30	-	-	PUNCT
ejpam-6348	284	31	scale	scale	NOUN
ejpam-6348	284	32	machine	machine	NOUN
ejpam-6348	284	33	learning	learning	NOUN
ejpam-6348	284	34	ecosystems	ecosystem	NOUN
ejpam-6348	284	35	.	.	PUNCT
ejpam-6348	285	1	in	in	ADP
ejpam-6348	285	2	conclusion	conclusion	NOUN
ejpam-6348	285	3	,	,	PUNCT
ejpam-6348	285	4	this	this	DET
ejpam-6348	285	5	study	study	NOUN
ejpam-6348	285	6	contributes	contribute	VERB
ejpam-6348	285	7	a	a	DET
ejpam-6348	285	8	novel	novel	NOUN
ejpam-6348	285	9	,	,	PUNCT
ejpam-6348	285	10	adaptive	adaptive	ADJ
ejpam-6348	285	11	,	,	PUNCT
ejpam-6348	285	12	and	and	CCONJ
ejpam-6348	285	13	efficient	efficient	ADJ
ejpam-6348	285	14	hyperparameter	hyperparameter	NOUN
ejpam-6348	285	15	optimization	optimization	NOUN
ejpam-6348	285	16	framework	framework	NOUN
ejpam-6348	285	17	,	,	PUNCT
ejpam-6348	285	18	bridging	bridge	VERB
ejpam-6348	285	19	the	the	DET
ejpam-6348	285	20	gap	gap	NOUN
ejpam-6348	285	21	between	between	ADP
ejpam-6348	285	22	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	285	23	and	and	CCONJ
ejpam-6348	285	24	machine	machine	NOUN
ejpam-6348	285	25	learning	learn	VERB
ejpam-6348	285	26	tuning	tune	VERB
ejpam-6348	285	27	.	.	PUNCT
ejpam-6348	286	1	the	the	DET
ejpam-6348	286	2	proposed	propose	VERB
ejpam-6348	286	3	methodology	methodology	NOUN
ejpam-6348	286	4	opens	open	VERB
ejpam-6348	286	5	new	new	ADJ
ejpam-6348	286	6	avenues	avenue	NOUN
ejpam-6348	286	7	for	for	ADP
ejpam-6348	286	8	further	further	ADJ
ejpam-6348	286	9	exploration	exploration	NOUN
ejpam-6348	286	10	in	in	ADP
ejpam-6348	286	11	automated	automate	VERB
ejpam-6348	286	12	optimization	optimization	NOUN
ejpam-6348	286	13	techniques	technique	NOUN
ejpam-6348	286	14	,	,	PUNCT
ejpam-6348	286	15	reinforcing	reinforce	VERB
ejpam-6348	286	16	the	the	DET
ejpam-6348	286	17	role	role	NOUN
ejpam-6348	286	18	of	of	ADP
ejpam-6348	286	19	intelligent	intelligent	ADJ
ejpam-6348	286	20	search	search	NOUN
ejpam-6348	286	21	strategies	strategy	NOUN
ejpam-6348	286	22	in	in	ADP
ejpam-6348	286	23	ai	ai	PROPN
ejpam-6348	286	24	model	model	NOUN
ejpam-6348	286	25	development	development	NOUN
ejpam-6348	286	26	.	.	PUNCT
ejpam-6348	287	1	k.	k.	PROPN
ejpam-6348	287	2	danach	danach	PROPN
ejpam-6348	287	3	,	,	PUNCT
ejpam-6348	287	4	w.	w.	PROPN
ejpam-6348	287	5	h.	h.	PROPN
ejpam-6348	287	6	f.	f.	PROPN
ejpam-6348	287	7	aly	aly	PROPN
ejpam-6348	287	8	/	/	SYM
ejpam-6348	287	9	eur	eur	PROPN
ejpam-6348	287	10	.	.	PUNCT
ejpam-6348	288	1	j.	j.	PROPN
ejpam-6348	288	2	pure	pure	PROPN
ejpam-6348	288	3	appl	appl	PROPN
ejpam-6348	288	4	.	.	PROPN
ejpam-6348	288	5	math	math	PROPN
ejpam-6348	288	6	,	,	PUNCT
ejpam-6348	288	7	18	18	NUM
ejpam-6348	288	8	(	(	PUNCT
ejpam-6348	288	9	3	3	NUM
ejpam-6348	288	10	)	)	PUNCT
ejpam-6348	288	11	(	(	PUNCT
ejpam-6348	288	12	2025	2025	NUM
ejpam-6348	288	13	)	)	PUNCT
ejpam-6348	288	14	,	,	PUNCT
ejpam-6348	288	15	6348	6348	NUM
ejpam-6348	288	16	21	21	NUM
ejpam-6348	288	17	of	of	ADP
ejpam-6348	288	18	23	23	NUM
ejpam-6348	288	19	references	reference	NOUN
ejpam-6348	288	20	[	[	X
ejpam-6348	288	21	1	1	NUM
ejpam-6348	288	22	]	]	X
ejpam-6348	288	23	james	james	PROPN
ejpam-6348	288	24	bergstra	bergstra	PROPN
ejpam-6348	288	25	and	and	CCONJ
ejpam-6348	288	26	yoshua	yoshua	PROPN
ejpam-6348	288	27	bengio	bengio	PROPN
ejpam-6348	288	28	.	.	PUNCT
ejpam-6348	289	1	random	random	ADJ
ejpam-6348	289	2	search	search	NOUN
ejpam-6348	289	3	for	for	ADP
ejpam-6348	289	4	hyper	hyper	ADJ
ejpam-6348	289	5	-	-	ADJ
ejpam-6348	289	6	parameter	parameter	ADJ
ejpam-6348	289	7	optimization	optimization	NOUN
ejpam-6348	289	8	.	.	PUNCT
ejpam-6348	290	1	journal	journal	NOUN
ejpam-6348	290	2	of	of	ADP
ejpam-6348	290	3	machine	machine	NOUN
ejpam-6348	290	4	learning	learn	VERB
ejpam-6348	290	5	research	research	NOUN
ejpam-6348	290	6	,	,	PUNCT
ejpam-6348	290	7	13(feb):281–305	13(feb):281–305	NUM
ejpam-6348	290	8	,	,	PUNCT
ejpam-6348	290	9	2012	2012	NUM
ejpam-6348	290	10	.	.	PUNCT
ejpam-6348	291	1	[	[	X
ejpam-6348	291	2	2	2	NUM
ejpam-6348	291	3	]	]	X
ejpam-6348	291	4	ian	ian	PROPN
ejpam-6348	291	5	goodfellow	goodfellow	PROPN
ejpam-6348	291	6	,	,	PUNCT
ejpam-6348	291	7	yoshua	yoshua	PROPN
ejpam-6348	291	8	bengio	bengio	PROPN
ejpam-6348	291	9	,	,	PUNCT
ejpam-6348	291	10	and	and	CCONJ
ejpam-6348	291	11	aaron	aaron	PROPN
ejpam-6348	291	12	courville	courville	PROPN
ejpam-6348	291	13	.	.	PUNCT
ejpam-6348	292	1	deep	deep	ADJ
ejpam-6348	292	2	learning	learning	NOUN
ejpam-6348	292	3	.	.	PUNCT
ejpam-6348	293	1	mit	mit	PROPN
ejpam-6348	293	2	press	press	PROPN
ejpam-6348	293	3	,	,	PUNCT
ejpam-6348	293	4	2016	2016	NUM
ejpam-6348	293	5	.	.	PUNCT
ejpam-6348	294	1	[	[	X
ejpam-6348	294	2	3	3	NUM
ejpam-6348	294	3	]	]	X
ejpam-6348	294	4	jasper	jasper	NOUN
ejpam-6348	294	5	snoek	snoek	PROPN
ejpam-6348	294	6	,	,	PUNCT
ejpam-6348	294	7	hugo	hugo	PROPN
ejpam-6348	294	8	larochelle	larochelle	PROPN
ejpam-6348	294	9	,	,	PUNCT
ejpam-6348	294	10	and	and	CCONJ
ejpam-6348	294	11	ryan	ryan	PROPN
ejpam-6348	294	12	p	p	PROPN
ejpam-6348	294	13	adams	adams	PROPN
ejpam-6348	294	14	.	.	PUNCT
ejpam-6348	295	1	practical	practical	ADJ
ejpam-6348	295	2	bayesian	bayesian	NOUN
ejpam-6348	295	3	optimization	optimization	NOUN
ejpam-6348	295	4	of	of	ADP
ejpam-6348	295	5	machine	machine	NOUN
ejpam-6348	295	6	learning	learn	VERB
ejpam-6348	295	7	algorithms	algorithm	NOUN
ejpam-6348	295	8	.	.	PUNCT
ejpam-6348	296	1	in	in	ADP
ejpam-6348	296	2	advances	advance	NOUN
ejpam-6348	296	3	in	in	ADP
ejpam-6348	296	4	neural	neural	ADJ
ejpam-6348	296	5	information	information	NOUN
ejpam-6348	296	6	processing	processing	NOUN
ejpam-6348	296	7	systems	system	NOUN
ejpam-6348	296	8	,	,	PUNCT
ejpam-6348	296	9	pages	page	NOUN
ejpam-6348	296	10	2951–2959	2951–2959	NOUN
ejpam-6348	296	11	,	,	PUNCT
ejpam-6348	296	12	2012	2012	NUM
ejpam-6348	296	13	.	.	PUNCT
ejpam-6348	297	1	[	[	X
ejpam-6348	297	2	4	4	NUM
ejpam-6348	297	3	]	]	SYM
ejpam-6348	297	4	matthias	matthias	PROPN
ejpam-6348	297	5	feurer	feurer	NOUN
ejpam-6348	297	6	and	and	CCONJ
ejpam-6348	297	7	frank	frank	ADJ
ejpam-6348	297	8	hutter	hutter	PROPN
ejpam-6348	297	9	.	.	PUNCT
ejpam-6348	298	1	hyperparameter	hyperparameter	NOUN
ejpam-6348	298	2	optimization	optimization	NOUN
ejpam-6348	298	3	.	.	PUNCT
ejpam-6348	299	1	automated	automate	VERB
ejpam-6348	299	2	machine	machine	NOUN
ejpam-6348	299	3	learning	learning	NOUN
ejpam-6348	299	4	,	,	PUNCT
ejpam-6348	299	5	pages	page	NOUN
ejpam-6348	299	6	3–33	3–33	PROPN
ejpam-6348	299	7	,	,	PUNCT
ejpam-6348	299	8	2019	2019	NUM
ejpam-6348	299	9	.	.	PUNCT
ejpam-6348	300	1	[	[	X
ejpam-6348	300	2	5	5	X
ejpam-6348	300	3	]	]	X
ejpam-6348	300	4	lisha	lisha	PROPN
ejpam-6348	300	5	li	li	PROPN
ejpam-6348	300	6	,	,	PUNCT
ejpam-6348	300	7	kevin	kevin	PROPN
ejpam-6348	300	8	jamieson	jamieson	PROPN
ejpam-6348	300	9	,	,	PUNCT
ejpam-6348	300	10	giulia	giulia	PROPN
ejpam-6348	300	11	desalvo	desalvo	PROPN
ejpam-6348	300	12	,	,	PUNCT
ejpam-6348	300	13	afshin	afshin	PROPN
ejpam-6348	300	14	rostamizadeh	rostamizadeh	PROPN
ejpam-6348	300	15	,	,	PUNCT
ejpam-6348	300	16	and	and	CCONJ
ejpam-6348	300	17	ameet	ameet	PROPN
ejpam-6348	300	18	talwalkar	talwalkar	PROPN
ejpam-6348	300	19	.	.	PUNCT
ejpam-6348	301	1	hyperband	hyperband	PROPN
ejpam-6348	301	2	:	:	PUNCT
ejpam-6348	301	3	a	a	DET
ejpam-6348	301	4	novel	novel	ADJ
ejpam-6348	301	5	bandit	bandit	NOUN
ejpam-6348	301	6	-	-	PUNCT
ejpam-6348	301	7	based	base	VERB
ejpam-6348	301	8	approach	approach	NOUN
ejpam-6348	301	9	to	to	ADP
ejpam-6348	301	10	hyperparameter	hyperparameter	NOUN
ejpam-6348	301	11	optimization	optimization	NOUN
ejpam-6348	301	12	.	.	PUNCT
ejpam-6348	302	1	in	in	ADP
ejpam-6348	302	2	international	international	ADJ
ejpam-6348	302	3	conference	conference	NOUN
ejpam-6348	302	4	on	on	ADP
ejpam-6348	302	5	learning	learn	VERB
ejpam-6348	302	6	representations	representation	NOUN
ejpam-6348	302	7	(	(	PUNCT
ejpam-6348	302	8	iclr	iclr	NOUN
ejpam-6348	302	9	)	)	PUNCT
ejpam-6348	302	10	,	,	PUNCT
ejpam-6348	302	11	2017	2017	NUM
ejpam-6348	302	12	.	.	PUNCT
ejpam-6348	303	1	[	[	X
ejpam-6348	303	2	6	6	NUM
ejpam-6348	303	3	]	]	X
ejpam-6348	303	4	james	james	PROPN
ejpam-6348	303	5	kennedy	kennedy	PROPN
ejpam-6348	303	6	.	.	PROPN
ejpam-6348	303	7	particle	particle	PROPN
ejpam-6348	303	8	swarm	swarm	NOUN
ejpam-6348	303	9	optimization	optimization	NOUN
ejpam-6348	303	10	.	.	PUNCT
ejpam-6348	304	1	encyclopedia	encyclopedia	NOUN
ejpam-6348	304	2	of	of	ADP
ejpam-6348	304	3	machine	machine	NOUN
ejpam-6348	304	4	learning	learning	NOUN
ejpam-6348	304	5	,	,	PUNCT
ejpam-6348	304	6	pages	page	NOUN
ejpam-6348	304	7	760–766	760–766	NUM
ejpam-6348	304	8	,	,	PUNCT
ejpam-6348	304	9	2010	2010	NUM
ejpam-6348	304	10	.	.	PUNCT
ejpam-6348	305	1	[	[	X
ejpam-6348	305	2	7	7	X
ejpam-6348	305	3	]	]	PUNCT
ejpam-6348	305	4	seyedali	seyedali	ADJ
ejpam-6348	305	5	mirjalili	mirjalili	NOUN
ejpam-6348	305	6	.	.	PUNCT
ejpam-6348	306	1	genetic	genetic	ADJ
ejpam-6348	306	2	algorithm	algorithm	NOUN
ejpam-6348	306	3	.	.	PUNCT
ejpam-6348	307	1	evolutionary	evolutionary	ADJ
ejpam-6348	307	2	algorithms	algorithm	NOUN
ejpam-6348	307	3	and	and	CCONJ
ejpam-6348	307	4	neural	neural	ADJ
ejpam-6348	307	5	networks	network	NOUN
ejpam-6348	307	6	,	,	PUNCT
ejpam-6348	307	7	pages	page	NOUN
ejpam-6348	307	8	43–55	43–55	NUM
ejpam-6348	307	9	,	,	PUNCT
ejpam-6348	307	10	2019	2019	NUM
ejpam-6348	307	11	.	.	PUNCT
ejpam-6348	308	1	[	[	X
ejpam-6348	308	2	8	8	NUM
ejpam-6348	308	3	]	]	X
ejpam-6348	308	4	xin	xin	PROPN
ejpam-6348	308	5	-	-	PROPN
ejpam-6348	308	6	she	she	PRON
ejpam-6348	308	7	yang	yang	PROPN
ejpam-6348	308	8	.	.	PUNCT
ejpam-6348	309	1	nature	nature	NOUN
ejpam-6348	309	2	-	-	PUNCT
ejpam-6348	309	3	inspired	inspire	VERB
ejpam-6348	309	4	optimization	optimization	NOUN
ejpam-6348	309	5	algorithms	algorithm	NOUN
ejpam-6348	309	6	.	.	PUNCT
ejpam-6348	310	1	elsevier	elsevier	NOUN
ejpam-6348	310	2	,	,	PUNCT
ejpam-6348	310	3	2014	2014	NUM
ejpam-6348	310	4	.	.	PUNCT
ejpam-6348	311	1	[	[	X
ejpam-6348	311	2	9	9	NUM
ejpam-6348	311	3	]	]	PUNCT
ejpam-6348	311	4	edmund	edmund	PROPN
ejpam-6348	311	5	k	k	PROPN
ejpam-6348	311	6	burke	burke	PROPN
ejpam-6348	311	7	,	,	PUNCT
ejpam-6348	311	8	matthew	matthew	PROPN
ejpam-6348	311	9	r	r	PROPN
ejpam-6348	311	10	hyde	hyde	PROPN
ejpam-6348	311	11	,	,	PUNCT
ejpam-6348	311	12	graham	graham	PROPN
ejpam-6348	311	13	kendall	kendall	PROPN
ejpam-6348	311	14	,	,	PUNCT
ejpam-6348	311	15	gabriela	gabriela	PROPN
ejpam-6348	311	16	ochoa	ochoa	PROPN
ejpam-6348	311	17	,	,	PUNCT
ejpam-6348	311	18	ender	ender	PROPN
ejpam-6348	311	19	ozcan	ozcan	PROPN
ejpam-6348	311	20	,	,	PUNCT
ejpam-6348	311	21	and	and	CCONJ
ejpam-6348	311	22	john	john	PROPN
ejpam-6348	311	23	r	r	PROPN
ejpam-6348	311	24	woodward	woodward	PROPN
ejpam-6348	311	25	.	.	PUNCT
ejpam-6348	312	1	hyper	hyper	NOUN
ejpam-6348	312	2	-	-	NOUN
ejpam-6348	312	3	heuristics	heuristic	NOUN
ejpam-6348	312	4	:	:	PUNCT
ejpam-6348	312	5	a	a	DET
ejpam-6348	312	6	survey	survey	NOUN
ejpam-6348	312	7	of	of	ADP
ejpam-6348	312	8	the	the	DET
ejpam-6348	312	9	state	state	NOUN
ejpam-6348	312	10	of	of	ADP
ejpam-6348	312	11	the	the	DET
ejpam-6348	312	12	art	art	NOUN
ejpam-6348	312	13	.	.	PUNCT
ejpam-6348	313	1	journal	journal	NOUN
ejpam-6348	313	2	of	of	ADP
ejpam-6348	313	3	the	the	DET
ejpam-6348	313	4	operational	operational	ADJ
ejpam-6348	313	5	research	research	NOUN
ejpam-6348	313	6	society	society	NOUN
ejpam-6348	313	7	,	,	PUNCT
ejpam-6348	313	8	64(12):1695–1724	64(12):1695–1724	NUM
ejpam-6348	313	9	,	,	PUNCT
ejpam-6348	313	10	2013	2013	NUM
ejpam-6348	313	11	.	.	PUNCT
ejpam-6348	314	1	[	[	X
ejpam-6348	314	2	10	10	NUM
ejpam-6348	314	3	]	]	X
ejpam-6348	314	4	daniel	daniel	PROPN
ejpam-6348	314	5	karapetyan	karapetyan	PROPN
ejpam-6348	314	6	and	and	CCONJ
ejpam-6348	314	7	michel	michel	PROPN
ejpam-6348	314	8	gendreau	gendreau	PROPN
ejpam-6348	314	9	.	.	PUNCT
ejpam-6348	315	1	hyper	hyper	ADJ
ejpam-6348	315	2	-	-	ADJ
ejpam-6348	315	3	heuristic	heuristic	ADJ
ejpam-6348	315	4	approaches	approach	NOUN
ejpam-6348	315	5	for	for	ADP
ejpam-6348	315	6	the	the	DET
ejpam-6348	315	7	vehicle	vehicle	NOUN
ejpam-6348	315	8	routing	routing	NOUN
ejpam-6348	315	9	problem	problem	NOUN
ejpam-6348	315	10	with	with	ADP
ejpam-6348	315	11	time	time	NOUN
ejpam-6348	315	12	windows	window	NOUN
ejpam-6348	315	13	.	.	PUNCT
ejpam-6348	316	1	metaheuristics	metaheuristic	NOUN
ejpam-6348	316	2	,	,	PUNCT
ejpam-6348	316	3	pages	page	NOUN
ejpam-6348	316	4	91–124	91–124	NUM
ejpam-6348	316	5	,	,	PUNCT
ejpam-6348	316	6	2013	2013	NUM
ejpam-6348	316	7	.	.	PUNCT
ejpam-6348	317	1	[	[	X
ejpam-6348	317	2	11	11	NUM
ejpam-6348	317	3	]	]	X
ejpam-6348	317	4	yoshua	yoshua	PROPN
ejpam-6348	317	5	bengio	bengio	PROPN
ejpam-6348	317	6	.	.	PUNCT
ejpam-6348	318	1	advances	advance	NOUN
ejpam-6348	318	2	in	in	ADP
ejpam-6348	318	3	automated	automate	VERB
ejpam-6348	318	4	machine	machine	NOUN
ejpam-6348	318	5	learning	learning	NOUN
ejpam-6348	318	6	.	.	PUNCT
ejpam-6348	319	1	journal	journal	PROPN
ejpam-6348	319	2	of	of	ADP
ejpam-6348	319	3	machine	machine	NOUN
ejpam-6348	319	4	learning	learning	NOUN
ejpam-6348	319	5	systems	system	NOUN
ejpam-6348	319	6	,	,	PUNCT
ejpam-6348	319	7	15(1):45–72	15(1):45–72	NUM
ejpam-6348	319	8	,	,	PUNCT
ejpam-6348	319	9	2024	2024	NUM
ejpam-6348	319	10	.	.	PUNCT
ejpam-6348	320	1	[	[	X
ejpam-6348	320	2	12	12	NUM
ejpam-6348	320	3	]	]	X
ejpam-6348	320	4	raj	raj	PROPN
ejpam-6348	320	5	patel	patel	PROPN
ejpam-6348	320	6	,	,	PUNCT
ejpam-6348	320	7	meera	meera	PROPN
ejpam-6348	320	8	shah	shah	PROPN
ejpam-6348	320	9	,	,	PUNCT
ejpam-6348	320	10	and	and	CCONJ
ejpam-6348	320	11	arun	arun	PROPN
ejpam-6348	320	12	kumar	kumar	PROPN
ejpam-6348	320	13	.	.	PROPN
ejpam-6348	321	1	metaheuristic	metaheuristic	ADJ
ejpam-6348	321	2	optimization	optimization	NOUN
ejpam-6348	321	3	in	in	ADP
ejpam-6348	321	4	deep	deep	ADJ
ejpam-6348	321	5	learning	learning	NOUN
ejpam-6348	321	6	:	:	PUNCT
ejpam-6348	321	7	recent	recent	ADJ
ejpam-6348	321	8	advances	advance	NOUN
ejpam-6348	321	9	and	and	CCONJ
ejpam-6348	321	10	applications	application	NOUN
ejpam-6348	321	11	.	.	PUNCT
ejpam-6348	322	1	artificial	artificial	ADJ
ejpam-6348	322	2	intelligence	intelligence	NOUN
ejpam-6348	322	3	review	review	NOUN
ejpam-6348	322	4	,	,	PUNCT
ejpam-6348	322	5	58(2):321–345	58(2):321–345	PROPN
ejpam-6348	322	6	,	,	PUNCT
ejpam-6348	322	7	2025	2025	NUM
ejpam-6348	322	8	.	.	PUNCT
ejpam-6348	323	1	[	[	X
ejpam-6348	323	2	13	13	NUM
ejpam-6348	323	3	]	]	X
ejpam-6348	323	4	tao	tao	PROPN
ejpam-6348	323	5	zhang	zhang	PROPN
ejpam-6348	323	6	and	and	CCONJ
ejpam-6348	323	7	ying	ying	PROPN
ejpam-6348	323	8	liu	liu	PROPN
ejpam-6348	323	9	.	.	PUNCT
ejpam-6348	324	1	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	324	2	for	for	ADP
ejpam-6348	324	3	automated	automate	VERB
ejpam-6348	324	4	machine	machine	NOUN
ejpam-6348	324	5	learning	learning	NOUN
ejpam-6348	324	6	:	:	PUNCT
ejpam-6348	324	7	a	a	DET
ejpam-6348	324	8	survey	survey	NOUN
ejpam-6348	324	9	and	and	CCONJ
ejpam-6348	324	10	future	future	ADJ
ejpam-6348	324	11	directions	direction	NOUN
ejpam-6348	324	12	.	.	PUNCT
ejpam-6348	325	1	information	information	NOUN
ejpam-6348	325	2	sciences	sciences	PROPN
ejpam-6348	325	3	,	,	PUNCT
ejpam-6348	325	4	660:120–140	660:120–140	NUM
ejpam-6348	325	5	,	,	PUNCT
ejpam-6348	325	6	2024	2024	NUM
ejpam-6348	325	7	.	.	PUNCT
ejpam-6348	326	1	[	[	X
ejpam-6348	326	2	14	14	NUM
ejpam-6348	326	3	]	]	PUNCT
ejpam-6348	326	4	thanh	thanh	NOUN
ejpam-6348	326	5	nguyen	nguyen	NOUN
ejpam-6348	326	6	and	and	CCONJ
ejpam-6348	326	7	li	li	PROPN
ejpam-6348	326	8	zhang	zhang	PROPN
ejpam-6348	326	9	.	.	PUNCT
ejpam-6348	327	1	a	a	DET
ejpam-6348	327	2	comprehensive	comprehensive	ADJ
ejpam-6348	327	3	review	review	NOUN
ejpam-6348	327	4	of	of	ADP
ejpam-6348	327	5	hyperparameter	hyperparameter	NOUN
ejpam-6348	327	6	optimization	optimization	NOUN
ejpam-6348	327	7	methods	method	NOUN
ejpam-6348	327	8	for	for	ADP
ejpam-6348	327	9	deep	deep	ADJ
ejpam-6348	327	10	learning	learning	NOUN
ejpam-6348	327	11	.	.	PUNCT
ejpam-6348	328	1	artificial	artificial	ADJ
ejpam-6348	328	2	intelligence	intelligence	NOUN
ejpam-6348	328	3	review	review	NOUN
ejpam-6348	328	4	,	,	PUNCT
ejpam-6348	328	5	57(3):789–814	57(3):789–814	PROPN
ejpam-6348	328	6	,	,	PUNCT
ejpam-6348	328	7	2024	2024	NUM
ejpam-6348	328	8	.	.	PUNCT
ejpam-6348	329	1	[	[	X
ejpam-6348	329	2	15	15	NUM
ejpam-6348	329	3	]	]	X
ejpam-6348	329	4	carlos	carlos	PROPN
ejpam-6348	329	5	almeida	almeida	PROPN
ejpam-6348	329	6	and	and	CCONJ
ejpam-6348	329	7	sofia	sofia	PROPN
ejpam-6348	329	8	ramos	ramos	PROPN
ejpam-6348	329	9	.	.	PUNCT
ejpam-6348	330	1	survey	survey	NOUN
ejpam-6348	330	2	on	on	ADP
ejpam-6348	330	3	random	random	ADJ
ejpam-6348	330	4	search	search	NOUN
ejpam-6348	330	5	and	and	CCONJ
ejpam-6348	330	6	its	its	PRON
ejpam-6348	330	7	extensions	extension	NOUN
ejpam-6348	330	8	in	in	ADP
ejpam-6348	330	9	hyperparameter	hyperparameter	NOUN
ejpam-6348	330	10	tuning	tuning	NOUN
ejpam-6348	330	11	.	.	PUNCT
ejpam-6348	331	1	information	information	NOUN
ejpam-6348	331	2	sciences	sciences	PROPN
ejpam-6348	331	3	,	,	PUNCT
ejpam-6348	331	4	670:210–229	670:210–229	NOUN
ejpam-6348	331	5	,	,	PUNCT
ejpam-6348	331	6	2025	2025	NUM
ejpam-6348	331	7	.	.	PUNCT
ejpam-6348	332	1	[	[	X
ejpam-6348	332	2	16	16	NUM
ejpam-6348	332	3	]	]	PUNCT
ejpam-6348	332	4	emily	emily	PROPN
ejpam-6348	332	5	thomas	thomas	PROPN
ejpam-6348	332	6	and	and	CCONJ
ejpam-6348	332	7	robert	robert	PROPN
ejpam-6348	332	8	choi	choi	PROPN
ejpam-6348	332	9	.	.	PUNCT
ejpam-6348	333	1	bayesian	bayesian	NOUN
ejpam-6348	333	2	optimization	optimization	NOUN
ejpam-6348	333	3	revisited	revisit	VERB
ejpam-6348	333	4	:	:	PUNCT
ejpam-6348	333	5	challenges	challenge	NOUN
ejpam-6348	333	6	and	and	CCONJ
ejpam-6348	333	7	opportunities	opportunity	NOUN
ejpam-6348	333	8	in	in	ADP
ejpam-6348	333	9	modern	modern	ADJ
ejpam-6348	333	10	machine	machine	NOUN
ejpam-6348	333	11	learning	learning	NOUN
ejpam-6348	333	12	.	.	PUNCT
ejpam-6348	334	1	journal	journal	PROPN
ejpam-6348	334	2	of	of	ADP
ejpam-6348	334	3	machine	machine	NOUN
ejpam-6348	334	4	learning	learn	VERB
ejpam-6348	334	5	research	research	NOUN
ejpam-6348	334	6	,	,	PUNCT
ejpam-6348	334	7	25(1):1–28	25(1):1–28	PROPN
ejpam-6348	334	8	,	,	PUNCT
ejpam-6348	334	9	2024	2024	NUM
ejpam-6348	334	10	.	.	PUNCT
ejpam-6348	335	1	[	[	X
ejpam-6348	335	2	17	17	NUM
ejpam-6348	335	3	]	]	PUNCT
ejpam-6348	335	4	haejin	haejin	NOUN
ejpam-6348	335	5	lee	lee	PROPN
ejpam-6348	335	6	and	and	CCONJ
ejpam-6348	335	7	priya	priya	PROPN
ejpam-6348	335	8	sharma	sharma	PROPN
ejpam-6348	335	9	.	.	PUNCT
ejpam-6348	336	1	adaptive	adaptive	ADJ
ejpam-6348	336	2	bayesian	bayesian	NOUN
ejpam-6348	336	3	optimization	optimization	NOUN
ejpam-6348	336	4	for	for	ADP
ejpam-6348	336	5	high	high	ADJ
ejpam-6348	336	6	-	-	PUNCT
ejpam-6348	336	7	dimensional	dimensional	ADJ
ejpam-6348	336	8	machine	machine	NOUN
ejpam-6348	336	9	learning	learning	NOUN
ejpam-6348	336	10	applications	application	NOUN
ejpam-6348	336	11	.	.	PUNCT
ejpam-6348	337	1	ieee	ieee	NOUN
ejpam-6348	337	2	transactions	transaction	NOUN
ejpam-6348	337	3	on	on	ADP
ejpam-6348	337	4	neural	neural	ADJ
ejpam-6348	337	5	networks	network	NOUN
ejpam-6348	337	6	and	and	CCONJ
ejpam-6348	337	7	learning	learning	NOUN
ejpam-6348	337	8	systems	system	NOUN
ejpam-6348	337	9	,	,	PUNCT
ejpam-6348	337	10	36(5):1234–1249	36(5):1234–1249	NUM
ejpam-6348	337	11	,	,	PUNCT
ejpam-6348	337	12	2025	2025	NUM
ejpam-6348	337	13	.	.	PUNCT
ejpam-6348	338	1	[	[	X
ejpam-6348	338	2	18	18	NUM
ejpam-6348	338	3	]	]	X
ejpam-6348	338	4	xiaoyang	xiaoyang	PROPN
ejpam-6348	338	5	chen	chen	PROPN
ejpam-6348	338	6	and	and	CCONJ
ejpam-6348	338	7	menglong	menglong	PROPN
ejpam-6348	338	8	zhou	zhou	PROPN
ejpam-6348	338	9	.	.	PUNCT
ejpam-6348	339	1	optimization	optimization	NOUN
ejpam-6348	339	2	challenges	challenge	NOUN
ejpam-6348	339	3	in	in	ADP
ejpam-6348	339	4	neural	neural	ADJ
ejpam-6348	339	5	architecture	architecture	NOUN
ejpam-6348	339	6	search	search	NOUN
ejpam-6348	339	7	:	:	PUNCT
ejpam-6348	339	8	a	a	DET
ejpam-6348	339	9	bayesian	bayesian	NOUN
ejpam-6348	339	10	perspective	perspective	NOUN
ejpam-6348	339	11	.	.	PUNCT
ejpam-6348	340	1	neural	neural	ADJ
ejpam-6348	340	2	networks	network	NOUN
ejpam-6348	340	3	,	,	PUNCT
ejpam-6348	340	4	172:98–115	172:98–115	NUM
ejpam-6348	340	5	,	,	PUNCT
ejpam-6348	340	6	2024	2024	NUM
ejpam-6348	340	7	.	.	PUNCT
ejpam-6348	341	1	k.	k.	PROPN
ejpam-6348	341	2	danach	danach	PROPN
ejpam-6348	341	3	,	,	PUNCT
ejpam-6348	341	4	w.	w.	PROPN
ejpam-6348	341	5	h.	h.	PROPN
ejpam-6348	341	6	f.	f.	PROPN
ejpam-6348	341	7	aly	aly	PROPN
ejpam-6348	341	8	/	/	SYM
ejpam-6348	341	9	eur	eur	PROPN
ejpam-6348	341	10	.	.	PUNCT
ejpam-6348	342	1	j.	j.	PROPN
ejpam-6348	342	2	pure	pure	PROPN
ejpam-6348	342	3	appl	appl	PROPN
ejpam-6348	342	4	.	.	PROPN
ejpam-6348	342	5	math	math	PROPN
ejpam-6348	342	6	,	,	PUNCT
ejpam-6348	342	7	18	18	NUM
ejpam-6348	342	8	(	(	PUNCT
ejpam-6348	342	9	3	3	NUM
ejpam-6348	342	10	)	)	PUNCT
ejpam-6348	342	11	(	(	PUNCT
ejpam-6348	342	12	2025	2025	NUM
ejpam-6348	342	13	)	)	PUNCT
ejpam-6348	342	14	,	,	PUNCT
ejpam-6348	342	15	6348	6348	NUM
ejpam-6348	342	16	22	22	NUM
ejpam-6348	342	17	of	of	ADP
ejpam-6348	342	18	23	23	NUM
ejpam-6348	342	19	[	[	SYM
ejpam-6348	342	20	19	19	NUM
ejpam-6348	342	21	]	]	X
ejpam-6348	342	22	mondher	mondher	ADJ
ejpam-6348	342	23	damak	damak	PROPN
ejpam-6348	342	24	et	et	PROPN
ejpam-6348	342	25	al	al	PROPN
ejpam-6348	342	26	.	.	PROPN
ejpam-6348	343	1	numerical	numerical	PROPN
ejpam-6348	343	2	methods	method	NOUN
ejpam-6348	343	3	for	for	ADP
ejpam-6348	343	4	fractional	fractional	ADJ
ejpam-6348	343	5	optimal	optimal	ADJ
ejpam-6348	343	6	control	control	NOUN
ejpam-6348	343	7	and	and	CCONJ
ejpam-6348	343	8	estimation	estimation	NOUN
ejpam-6348	343	9	.	.	PUNCT
ejpam-6348	344	1	babylonian	babylonian	ADJ
ejpam-6348	344	2	journal	journal	PROPN
ejpam-6348	344	3	of	of	ADP
ejpam-6348	344	4	mathematics	mathematic	NOUN
ejpam-6348	344	5	,	,	PUNCT
ejpam-6348	344	6	2023:23–29	2023:23–29	NUM
ejpam-6348	344	7	,	,	PUNCT
ejpam-6348	344	8	2023	2023	NUM
ejpam-6348	344	9	.	.	PUNCT
ejpam-6348	345	1	[	[	X
ejpam-6348	345	2	20	20	NUM
ejpam-6348	345	3	]	]	PUNCT
ejpam-6348	345	4	hijaz	hijaz	PROPN
ejpam-6348	345	5	ahmad	ahmad	PROPN
ejpam-6348	345	6	.	.	PUNCT
ejpam-6348	346	1	variational	variational	ADJ
ejpam-6348	346	2	iteration	iteration	NOUN
ejpam-6348	346	3	approach	approach	NOUN
ejpam-6348	346	4	for	for	ADP
ejpam-6348	346	5	solving	solve	VERB
ejpam-6348	346	6	fractional	fractional	ADJ
ejpam-6348	346	7	integro	integro	ADJ
ejpam-6348	346	8	-	-	PUNCT
ejpam-6348	346	9	differential	differential	NOUN
ejpam-6348	346	10	equations	equation	NOUN
ejpam-6348	346	11	with	with	ADP
ejpam-6348	346	12	conformable	conformable	ADJ
ejpam-6348	346	13	differintegrals	differintegral	NOUN
ejpam-6348	346	14	.	.	PUNCT
ejpam-6348	347	1	babylonian	babylonian	ADJ
ejpam-6348	347	2	journal	journal	PROPN
ejpam-6348	347	3	of	of	ADP
ejpam-6348	347	4	mathematics	mathematic	NOUN
ejpam-6348	347	5	,	,	PUNCT
ejpam-6348	347	6	2023:45–49	2023:45–49	NUM
ejpam-6348	347	7	,	,	PUNCT
ejpam-6348	347	8	2023	2023	NUM
ejpam-6348	347	9	.	.	PUNCT
ejpam-6348	348	1	[	[	X
ejpam-6348	348	2	21	21	NUM
ejpam-6348	348	3	]	]	X
ejpam-6348	348	4	esteban	esteban	PROPN
ejpam-6348	348	5	real	real	PROPN
ejpam-6348	348	6	,	,	PUNCT
ejpam-6348	348	7	alok	alok	NOUN
ejpam-6348	348	8	aggarwal	aggarwal	PROPN
ejpam-6348	348	9	,	,	PUNCT
ejpam-6348	348	10	yanping	yanping	PROPN
ejpam-6348	348	11	huang	huang	PROPN
ejpam-6348	348	12	,	,	PUNCT
ejpam-6348	348	13	and	and	CCONJ
ejpam-6348	348	14	quoc	quoc	VERB
ejpam-6348	348	15	v	v	NUM
ejpam-6348	348	16	le	le	X
ejpam-6348	348	17	.	.	PUNCT
ejpam-6348	348	18	regularized	regularize	VERB
ejpam-6348	348	19	evolution	evolution	NOUN
ejpam-6348	348	20	for	for	ADP
ejpam-6348	348	21	image	image	NOUN
ejpam-6348	348	22	classifier	classifier	NOUN
ejpam-6348	348	23	architecture	architecture	NOUN
ejpam-6348	348	24	search	search	NOUN
ejpam-6348	348	25	.	.	PUNCT
ejpam-6348	349	1	proceedings	proceeding	NOUN
ejpam-6348	349	2	of	of	ADP
ejpam-6348	349	3	the	the	DET
ejpam-6348	349	4	aaai	aaai	PROPN
ejpam-6348	349	5	conference	conference	NOUN
ejpam-6348	349	6	on	on	ADP
ejpam-6348	349	7	artificial	artificial	ADJ
ejpam-6348	349	8	intelligence	intelligence	NOUN
ejpam-6348	349	9	,	,	PUNCT
ejpam-6348	349	10	33(1):4780–4789	33(1):4780–4789	NUM
ejpam-6348	349	11	,	,	PUNCT
ejpam-6348	349	12	2019	2019	NUM
ejpam-6348	349	13	.	.	PUNCT
ejpam-6348	350	1	[	[	X
ejpam-6348	350	2	22	22	NUM
ejpam-6348	350	3	]	]	X
ejpam-6348	350	4	han	han	PROPN
ejpam-6348	350	5	wang	wang	PROPN
ejpam-6348	350	6	and	and	CCONJ
ejpam-6348	350	7	rui	rui	PROPN
ejpam-6348	350	8	zhang	zhang	PROPN
ejpam-6348	350	9	.	.	PUNCT
ejpam-6348	350	10	evolutionary	evolutionary	ADJ
ejpam-6348	350	11	algorithms	algorithm	NOUN
ejpam-6348	350	12	for	for	ADP
ejpam-6348	350	13	neural	neural	ADJ
ejpam-6348	350	14	network	network	NOUN
ejpam-6348	350	15	hyperparameter	hyperparameter	NOUN
ejpam-6348	350	16	optimization	optimization	NOUN
ejpam-6348	350	17	:	:	PUNCT
ejpam-6348	350	18	a	a	DET
ejpam-6348	350	19	review	review	NOUN
ejpam-6348	350	20	.	.	PUNCT
ejpam-6348	351	1	information	information	NOUN
ejpam-6348	351	2	fusion	fusion	NOUN
ejpam-6348	351	3	,	,	PUNCT
ejpam-6348	351	4	93:101–120	93:101–120	NUM
ejpam-6348	351	5	,	,	PUNCT
ejpam-6348	351	6	2024	2024	NUM
ejpam-6348	351	7	.	.	PUNCT
ejpam-6348	352	1	[	[	X
ejpam-6348	352	2	23	23	NUM
ejpam-6348	352	3	]	]	X
ejpam-6348	352	4	xin	xin	PROPN
ejpam-6348	352	5	liu	liu	PROPN
ejpam-6348	352	6	and	and	CCONJ
ejpam-6348	352	7	marcus	marcus	PROPN
ejpam-6348	352	8	silva	silva	PROPN
ejpam-6348	352	9	.	.	PUNCT
ejpam-6348	353	1	pso	pso	NOUN
ejpam-6348	353	2	-	-	PUNCT
ejpam-6348	353	3	based	base	VERB
ejpam-6348	353	4	hyperparameter	hyperparameter	NOUN
ejpam-6348	353	5	optimization	optimization	NOUN
ejpam-6348	353	6	in	in	ADP
ejpam-6348	353	7	deep	deep	ADJ
ejpam-6348	353	8	neural	neural	ADJ
ejpam-6348	353	9	networks	network	NOUN
ejpam-6348	353	10	:	:	PUNCT
ejpam-6348	353	11	challenges	challenge	NOUN
ejpam-6348	353	12	and	and	CCONJ
ejpam-6348	353	13	advances	advance	NOUN
ejpam-6348	353	14	.	.	PUNCT
ejpam-6348	354	1	neurocomputing	neurocomputing	NOUN
ejpam-6348	354	2	,	,	PUNCT
ejpam-6348	354	3	555:250–266	555:250–266	NUM
ejpam-6348	354	4	,	,	PUNCT
ejpam-6348	354	5	2025	2025	NUM
ejpam-6348	354	6	.	.	PUNCT
ejpam-6348	355	1	[	[	X
ejpam-6348	355	2	24	24	NUM
ejpam-6348	355	3	]	]	X
ejpam-6348	355	4	carlos	carlos	PROPN
ejpam-6348	355	5	fernandez	fernandez	PROPN
ejpam-6348	355	6	and	and	CCONJ
ejpam-6348	355	7	alia	alia	PROPN
ejpam-6348	355	8	habib	habib	PROPN
ejpam-6348	355	9	.	.	PUNCT
ejpam-6348	356	1	challenges	challenge	NOUN
ejpam-6348	356	2	in	in	ADP
ejpam-6348	356	3	metaheuristic	metaheuristic	ADJ
ejpam-6348	356	4	-	-	PUNCT
ejpam-6348	356	5	based	base	VERB
ejpam-6348	356	6	machine	machine	NOUN
ejpam-6348	356	7	learning	learn	VERB
ejpam-6348	356	8	optimization	optimization	NOUN
ejpam-6348	356	9	:	:	PUNCT
ejpam-6348	356	10	a	a	DET
ejpam-6348	356	11	critical	critical	ADJ
ejpam-6348	356	12	review	review	NOUN
ejpam-6348	356	13	.	.	PUNCT
ejpam-6348	357	1	artificial	artificial	ADJ
ejpam-6348	357	2	intelligence	intelligence	NOUN
ejpam-6348	357	3	review	review	NOUN
ejpam-6348	357	4	,	,	PUNCT
ejpam-6348	357	5	59(1):145–174	59(1):145–174	NUM
ejpam-6348	357	6	,	,	PUNCT
ejpam-6348	357	7	2025	2025	NUM
ejpam-6348	357	8	.	.	PUNCT
ejpam-6348	358	1	[	[	X
ejpam-6348	358	2	25	25	NUM
ejpam-6348	358	3	]	]	X
ejpam-6348	358	4	abbas	abbas	PROPN
ejpam-6348	358	5	tarhini	tarhini	NOUN
ejpam-6348	358	6	,	,	PUNCT
ejpam-6348	358	7	kassem	kassem	PROPN
ejpam-6348	358	8	danach	danach	PROPN
ejpam-6348	358	9	,	,	PUNCT
ejpam-6348	358	10	and	and	CCONJ
ejpam-6348	358	11	antoine	antoine	PROPN
ejpam-6348	358	12	harfouche	harfouche	PROPN
ejpam-6348	358	13	.	.	PUNCT
ejpam-6348	359	1	swarm	swarm	NOUN
ejpam-6348	359	2	intelligence	intelligence	NOUN
ejpam-6348	359	3	-	-	PUNCT
ejpam-6348	359	4	based	base	VERB
ejpam-6348	359	5	hyper	hyper	NOUN
ejpam-6348	359	6	-	-	NOUN
ejpam-6348	359	7	heuristic	heuristic	NOUN
ejpam-6348	359	8	for	for	ADP
ejpam-6348	359	9	the	the	DET
ejpam-6348	359	10	vehicle	vehicle	NOUN
ejpam-6348	359	11	routing	routing	NOUN
ejpam-6348	359	12	problem	problem	NOUN
ejpam-6348	359	13	with	with	ADP
ejpam-6348	359	14	prioritized	prioritize	VERB
ejpam-6348	359	15	customers	customer	NOUN
ejpam-6348	359	16	.	.	PUNCT
ejpam-6348	360	1	annals	annal	NOUN
ejpam-6348	360	2	of	of	ADP
ejpam-6348	360	3	operations	operation	NOUN
ejpam-6348	360	4	research	research	NOUN
ejpam-6348	360	5	,	,	PUNCT
ejpam-6348	360	6	pages	page	NOUN
ejpam-6348	360	7	1–22	1–22	PROPN
ejpam-6348	360	8	,	,	PUNCT
ejpam-6348	360	9	2022	2022	NUM
ejpam-6348	360	10	.	.	PUNCT
ejpam-6348	361	1	[	[	X
ejpam-6348	361	2	26	26	NUM
ejpam-6348	361	3	]	]	X
ejpam-6348	361	4	kassem	kassem	PROPN
ejpam-6348	361	5	danach	danach	PROPN
ejpam-6348	361	6	.	.	PUNCT
ejpam-6348	362	1	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	362	2	in	in	ADP
ejpam-6348	362	3	logistics	logistic	NOUN
ejpam-6348	362	4	.	.	PUNCT
ejpam-6348	363	1	phd	phd	NOUN
ejpam-6348	363	2	thesis	thesis	PROPN
ejpam-6348	363	3	,	,	PUNCT
ejpam-6348	363	4	ecole	ecole	X
ejpam-6348	363	5	centrale	centrale	X
ejpam-6348	363	6	de	de	X
ejpam-6348	363	7	lille	lille	PROPN
ejpam-6348	363	8	,	,	PUNCT
ejpam-6348	363	9	2016	2016	NUM
ejpam-6348	363	10	.	.	PUNCT
ejpam-6348	364	1	[	[	X
ejpam-6348	364	2	27	27	NUM
ejpam-6348	364	3	]	]	X
ejpam-6348	364	4	evgeny	evgeny	NOUN
ejpam-6348	364	5	chakhlevitch	chakhlevitch	PROPN
ejpam-6348	364	6	and	and	CCONJ
ejpam-6348	364	7	peter	peter	PROPN
ejpam-6348	364	8	i	i	PRON
ejpam-6348	364	9	cowling	cowl	VERB
ejpam-6348	364	10	.	.	PUNCT
ejpam-6348	365	1	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	365	2	:	:	PUNCT
ejpam-6348	365	3	recent	recent	ADJ
ejpam-6348	365	4	developments	development	NOUN
ejpam-6348	365	5	.	.	PUNCT
ejpam-6348	366	1	international	international	ADJ
ejpam-6348	366	2	series	series	NOUN
ejpam-6348	366	3	in	in	ADP
ejpam-6348	366	4	operations	operation	NOUN
ejpam-6348	366	5	research	research	NOUN
ejpam-6348	366	6	and	and	CCONJ
ejpam-6348	366	7	management	management	NOUN
ejpam-6348	366	8	science	science	NOUN
ejpam-6348	366	9	,	,	PUNCT
ejpam-6348	366	10	136:3–29	136:3–29	NUM
ejpam-6348	366	11	,	,	PUNCT
ejpam-6348	366	12	2008	2008	NUM
ejpam-6348	366	13	.	.	PUNCT
ejpam-6348	367	1	[	[	X
ejpam-6348	367	2	28	28	NUM
ejpam-6348	367	3	]	]	X
ejpam-6348	367	4	kassem	kassem	PROPN
ejpam-6348	367	5	danach	danach	PROPN
ejpam-6348	367	6	,	,	PUNCT
ejpam-6348	367	7	jomana	jomana	PROPN
ejpam-6348	367	8	al	al	PROPN
ejpam-6348	367	9	-	-	PUNCT
ejpam-6348	367	10	haj	haj	PROPN
ejpam-6348	367	11	hassan	hassan	PROPN
ejpam-6348	367	12	,	,	PUNCT
ejpam-6348	367	13	wissam	wissam	PROPN
ejpam-6348	367	14	khalil	khalil	PROPN
ejpam-6348	367	15	,	,	PUNCT
ejpam-6348	367	16	and	and	CCONJ
ejpam-6348	367	17	shahin	shahin	PROPN
ejpam-6348	367	18	gelareh	gelareh	NOUN
ejpam-6348	367	19	.	.	PUNCT
ejpam-6348	368	1	routing	route	VERB
ejpam-6348	368	2	heterogeneous	heterogeneous	ADJ
ejpam-6348	368	3	mobile	mobile	ADJ
ejpam-6348	368	4	hospital	hospital	NOUN
ejpam-6348	368	5	with	with	ADP
ejpam-6348	368	6	different	different	ADJ
ejpam-6348	368	7	patients	patient	NOUN
ejpam-6348	368	8	priorities	priority	NOUN
ejpam-6348	368	9	:	:	PUNCT
ejpam-6348	368	10	hyper	hyper	ADJ
ejpam-6348	368	11	-	-	ADJ
ejpam-6348	368	12	heuristic	heuristic	ADJ
ejpam-6348	368	13	approach	approach	NOUN
ejpam-6348	368	14	.	.	PUNCT
ejpam-6348	369	1	in	in	ADP
ejpam-6348	369	2	2015	2015	NUM
ejpam-6348	369	3	fifth	fifth	ADJ
ejpam-6348	369	4	international	international	ADJ
ejpam-6348	369	5	conference	conference	NOUN
ejpam-6348	369	6	on	on	ADP
ejpam-6348	369	7	digital	digital	ADJ
ejpam-6348	369	8	information	information	NOUN
ejpam-6348	369	9	and	and	CCONJ
ejpam-6348	369	10	communication	communication	NOUN
ejpam-6348	369	11	technology	technology	NOUN
ejpam-6348	369	12	and	and	CCONJ
ejpam-6348	369	13	its	its	PRON
ejpam-6348	369	14	applications	application	NOUN
ejpam-6348	369	15	(	(	PUNCT
ejpam-6348	369	16	dictap	dictap	NOUN
ejpam-6348	369	17	)	)	PUNCT
ejpam-6348	369	18	,	,	PUNCT
ejpam-6348	369	19	pages	page	NOUN
ejpam-6348	369	20	155–158	155–158	NUM
ejpam-6348	369	21	.	.	PUNCT
ejpam-6348	369	22	ieee	ieee	NOUN
ejpam-6348	369	23	,	,	PUNCT
ejpam-6348	369	24	2015	2015	NUM
ejpam-6348	369	25	.	.	PUNCT
ejpam-6348	370	1	[	[	X
ejpam-6348	370	2	29	29	NUM
ejpam-6348	370	3	]	]	X
ejpam-6348	370	4	peter	peter	PROPN
ejpam-6348	370	5	ross	ross	PROPN
ejpam-6348	370	6	.	.	PROPN
ejpam-6348	371	1	hyper	hyper	NOUN
ejpam-6348	371	2	-	-	NOUN
ejpam-6348	371	3	heuristics	heuristic	NOUN
ejpam-6348	371	4	.	.	PUNCT
ejpam-6348	372	1	handbook	handbook	NOUN
ejpam-6348	372	2	of	of	ADP
ejpam-6348	372	3	metaheuristics	metaheuristic	NOUN
ejpam-6348	372	4	,	,	PUNCT
ejpam-6348	372	5	pages	page	NOUN
ejpam-6348	372	6	611–632	611–632	NUM
ejpam-6348	372	7	,	,	PUNCT
ejpam-6348	372	8	2005	2005	NUM
ejpam-6348	372	9	.	.	PUNCT
ejpam-6348	373	1	[	[	X
ejpam-6348	373	2	30	30	NUM
ejpam-6348	373	3	]	]	X
ejpam-6348	373	4	sarah	sarah	PROPN
ejpam-6348	373	5	jones	jones	PROPN
ejpam-6348	373	6	and	and	CCONJ
ejpam-6348	373	7	leo	leo	PROPN
ejpam-6348	373	8	martin	martin	PROPN
ejpam-6348	373	9	.	.	PUNCT
ejpam-6348	374	1	reinforcement	reinforcement	NOUN
ejpam-6348	374	2	learning	learning	NOUN
ejpam-6348	374	3	-	-	PUNCT
ejpam-6348	374	4	based	base	VERB
ejpam-6348	374	5	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	374	6	:	:	PUNCT
ejpam-6348	374	7	methods	method	NOUN
ejpam-6348	374	8	and	and	CCONJ
ejpam-6348	374	9	applications	application	NOUN
ejpam-6348	374	10	.	.	PUNCT
ejpam-6348	375	1	applied	apply	VERB
ejpam-6348	375	2	soft	soft	ADJ
ejpam-6348	375	3	computing	computing	NOUN
ejpam-6348	375	4	,	,	PUNCT
ejpam-6348	375	5	145:109–130	145:109–130	NUM
ejpam-6348	375	6	,	,	PUNCT
ejpam-6348	375	7	2024	2024	NUM
ejpam-6348	375	8	.	.	PUNCT
ejpam-6348	376	1	[	[	X
ejpam-6348	376	2	31	31	NUM
ejpam-6348	376	3	]	]	X
ejpam-6348	376	4	david	david	PROPN
ejpam-6348	376	5	smith	smith	PROPN
ejpam-6348	376	6	and	and	CCONJ
ejpam-6348	376	7	clara	clara	PROPN
ejpam-6348	376	8	lee	lee	PROPN
ejpam-6348	376	9	.	.	PUNCT
ejpam-6348	377	1	hyperheuristics	hyperheuristic	NOUN
ejpam-6348	377	2	for	for	ADP
ejpam-6348	377	3	automl	automl	NOUN
ejpam-6348	377	4	:	:	PUNCT
ejpam-6348	377	5	a	a	DET
ejpam-6348	377	6	new	new	ADJ
ejpam-6348	377	7	frontier	frontier	NOUN
ejpam-6348	377	8	in	in	ADP
ejpam-6348	377	9	machine	machine	NOUN
ejpam-6348	377	10	learning	learning	NOUN
ejpam-6348	377	11	automation	automation	NOUN
ejpam-6348	377	12	.	.	PUNCT
ejpam-6348	378	1	ieee	ieee	NOUN
ejpam-6348	378	2	transactions	transaction	NOUN
ejpam-6348	378	3	on	on	ADP
ejpam-6348	378	4	artificial	artificial	ADJ
ejpam-6348	378	5	intelligence	intelligence	NOUN
ejpam-6348	378	6	,	,	PUNCT
ejpam-6348	378	7	6(2):180	6(2):180	NUM
ejpam-6348	378	8	–	–	PUNCT
ejpam-6348	378	9	195	195	NUM
ejpam-6348	378	10	,	,	PUNCT
ejpam-6348	378	11	2025	2025	NUM
ejpam-6348	378	12	.	.	PUNCT
ejpam-6348	379	1	[	[	X
ejpam-6348	379	2	32	32	NUM
ejpam-6348	379	3	]	]	PUNCT
ejpam-6348	379	4	stefan	stefan	PROPN
ejpam-6348	379	5	falkner	falkner	PROPN
ejpam-6348	379	6	,	,	PUNCT
ejpam-6348	379	7	aaron	aaron	PROPN
ejpam-6348	379	8	klein	klein	PROPN
ejpam-6348	379	9	,	,	PUNCT
ejpam-6348	379	10	and	and	CCONJ
ejpam-6348	379	11	frank	frank	PROPN
ejpam-6348	379	12	hutter	hutter	PROPN
ejpam-6348	379	13	.	.	PUNCT
ejpam-6348	380	1	bohb	bohb	NOUN
ejpam-6348	380	2	:	:	PUNCT
ejpam-6348	380	3	robust	robust	ADJ
ejpam-6348	380	4	and	and	CCONJ
ejpam-6348	380	5	efficient	efficient	ADJ
ejpam-6348	380	6	hyperparameter	hyperparameter	NOUN
ejpam-6348	380	7	optimization	optimization	NOUN
ejpam-6348	380	8	at	at	ADP
ejpam-6348	380	9	scale	scale	NOUN
ejpam-6348	380	10	.	.	PUNCT
ejpam-6348	381	1	international	international	ADJ
ejpam-6348	381	2	conference	conference	NOUN
ejpam-6348	381	3	on	on	ADP
ejpam-6348	381	4	machine	machine	NOUN
ejpam-6348	381	5	learning	learning	NOUN
ejpam-6348	381	6	(	(	PUNCT
ejpam-6348	381	7	icml	icml	PROPN
ejpam-6348	381	8	)	)	PUNCT
ejpam-6348	381	9	,	,	PUNCT
ejpam-6348	381	10	pages	page	NOUN
ejpam-6348	381	11	1436–1445	1436–1445	NUM
ejpam-6348	381	12	,	,	PUNCT
ejpam-6348	381	13	2018	2018	NUM
ejpam-6348	381	14	.	.	PUNCT
ejpam-6348	382	1	[	[	X
ejpam-6348	382	2	33	33	NUM
ejpam-6348	382	3	]	]	X
ejpam-6348	382	4	tong	tong	PROPN
ejpam-6348	382	5	yu	yu	PROPN
ejpam-6348	382	6	and	and	CCONJ
ejpam-6348	382	7	hongyang	hongyang	PROPN
ejpam-6348	382	8	zhu	zhu	PROPN
ejpam-6348	382	9	.	.	PUNCT
ejpam-6348	383	1	hyperparameter	hyperparameter	PROPN
ejpam-6348	383	2	optimization	optimization	NOUN
ejpam-6348	383	3	:	:	PUNCT
ejpam-6348	383	4	a	a	DET
ejpam-6348	383	5	review	review	NOUN
ejpam-6348	383	6	of	of	ADP
ejpam-6348	383	7	algorithms	algorithm	NOUN
ejpam-6348	383	8	and	and	CCONJ
ejpam-6348	383	9	applications	application	NOUN
ejpam-6348	383	10	.	.	PUNCT
ejpam-6348	384	1	artificial	artificial	ADJ
ejpam-6348	384	2	intelligence	intelligence	NOUN
ejpam-6348	384	3	review	review	NOUN
ejpam-6348	384	4	,	,	PUNCT
ejpam-6348	384	5	53(6):1–39	53(6):1–39	NUM
ejpam-6348	384	6	,	,	PUNCT
ejpam-6348	384	7	2020	2020	NUM
ejpam-6348	384	8	.	.	PUNCT
ejpam-6348	385	1	[	[	X
ejpam-6348	385	2	34	34	NUM
ejpam-6348	385	3	]	]	X
ejpam-6348	385	4	scott	scott	PROPN
ejpam-6348	385	5	kirkpatrick	kirkpatrick	PROPN
ejpam-6348	385	6	,	,	PUNCT
ejpam-6348	385	7	c	c	PROPN
ejpam-6348	385	8	daniel	daniel	PROPN
ejpam-6348	385	9	gelatt	gelatt	PROPN
ejpam-6348	385	10	,	,	PUNCT
ejpam-6348	385	11	and	and	CCONJ
ejpam-6348	385	12	mario	mario	PROPN
ejpam-6348	385	13	p	p	PROPN
ejpam-6348	385	14	vecchi	vecchi	PROPN
ejpam-6348	385	15	.	.	PUNCT
ejpam-6348	386	1	optimization	optimization	NOUN
ejpam-6348	386	2	by	by	ADP
ejpam-6348	386	3	simulated	simulated	ADJ
ejpam-6348	386	4	annealing	annealing	NOUN
ejpam-6348	386	5	.	.	PUNCT
ejpam-6348	387	1	science	science	NOUN
ejpam-6348	387	2	,	,	PUNCT
ejpam-6348	387	3	220(4598):671–680	220(4598):671–680	NUM
ejpam-6348	387	4	,	,	PUNCT
ejpam-6348	387	5	1983	1983	NUM
ejpam-6348	387	6	.	.	PUNCT
ejpam-6348	388	1	[	[	X
ejpam-6348	388	2	35	35	NUM
ejpam-6348	388	3	]	]	X
ejpam-6348	388	4	yoshua	yoshua	PROPN
ejpam-6348	388	5	bengio	bengio	PROPN
ejpam-6348	388	6	,	,	PUNCT
ejpam-6348	388	7	aaron	aaron	PROPN
ejpam-6348	388	8	courville	courville	PROPN
ejpam-6348	388	9	,	,	PUNCT
ejpam-6348	388	10	and	and	CCONJ
ejpam-6348	388	11	pascal	pascal	PROPN
ejpam-6348	388	12	vincent	vincent	PROPN
ejpam-6348	388	13	.	.	PUNCT
ejpam-6348	389	1	representation	representation	NOUN
ejpam-6348	389	2	learning	learning	NOUN
ejpam-6348	389	3	:	:	PUNCT
ejpam-6348	389	4	a	a	DET
ejpam-6348	389	5	review	review	NOUN
ejpam-6348	389	6	and	and	CCONJ
ejpam-6348	389	7	new	new	ADJ
ejpam-6348	389	8	perspectives	perspective	NOUN
ejpam-6348	389	9	,	,	PUNCT
ejpam-6348	389	10	volume	volume	NOUN
ejpam-6348	389	11	35	35	NUM
ejpam-6348	389	12	.	.	PUNCT
ejpam-6348	390	1	2013	2013	NUM
ejpam-6348	390	2	.	.	PUNCT
ejpam-6348	391	1	[	[	X
ejpam-6348	391	2	36	36	NUM
ejpam-6348	391	3	]	]	PUNCT
ejpam-6348	391	4	wael	wael	PROPN
ejpam-6348	391	5	hosny	hosny	PROPN
ejpam-6348	391	6	fouad	fouad	PROPN
ejpam-6348	391	7	hosny	hosny	PROPN
ejpam-6348	391	8	fouad	fouad	PROPN
ejpam-6348	391	9	aly	aly	PROPN
ejpam-6348	391	10	,	,	PUNCT
ejpam-6348	391	11	hassan	hassan	PROPN
ejpam-6348	391	12	kanj	kanj	PROPN
ejpam-6348	391	13	,	,	PUNCT
ejpam-6348	391	14	nour	nour	PROPN
ejpam-6348	391	15	mostafa	mostafa	PROPN
ejpam-6348	391	16	,	,	PUNCT
ejpam-6348	391	17	zakwan	zakwan	PROPN
ejpam-6348	391	18	alarnaout	alarnaout	PROPN
ejpam-6348	391	19	,	,	PUNCT
ejpam-6348	391	20	and	and	CCONJ
ejpam-6348	391	21	hassan	hassan	PROPN
ejpam-6348	391	22	harb	harb	PROPN
ejpam-6348	391	23	.	.	PUNCT
ejpam-6348	392	1	no	no	DET
ejpam-6348	392	2	binding	bind	VERB
ejpam-6348	392	3	machine	machine	NOUN
ejpam-6348	392	4	learning	learn	VERB
ejpam-6348	392	5	architecture	architecture	NOUN
ejpam-6348	392	6	for	for	ADP
ejpam-6348	392	7	sdn	sdn	NOUN
ejpam-6348	392	8	controllers	controller	NOUN
ejpam-6348	392	9	.	.	PUNCT
ejpam-6348	393	1	bulletin	bulletin	NOUN
ejpam-6348	393	2	of	of	ADP
ejpam-6348	393	3	electrical	electrical	ADJ
ejpam-6348	393	4	engineering	engineering	NOUN
ejpam-6348	393	5	and	and	CCONJ
ejpam-6348	393	6	informatics	informatic	NOUN
ejpam-6348	393	7	,	,	PUNCT
ejpam-6348	393	8	14(3):2413–2428	14(3):2413–2428	NUM
ejpam-6348	393	9	,	,	PUNCT
ejpam-6348	393	10	2025	2025	NUM
ejpam-6348	393	11	.	.	PUNCT
ejpam-6348	394	1	k.	k.	PROPN
ejpam-6348	394	2	danach	danach	PROPN
ejpam-6348	394	3	,	,	PUNCT
ejpam-6348	394	4	w.	w.	PROPN
ejpam-6348	394	5	h.	h.	PROPN
ejpam-6348	394	6	f.	f.	PROPN
ejpam-6348	394	7	aly	aly	PROPN
ejpam-6348	394	8	/	/	SYM
ejpam-6348	394	9	eur	eur	PROPN
ejpam-6348	394	10	.	.	PUNCT
ejpam-6348	395	1	j.	j.	PROPN
ejpam-6348	395	2	pure	pure	PROPN
ejpam-6348	395	3	appl	appl	PROPN
ejpam-6348	395	4	.	.	PROPN
ejpam-6348	395	5	math	math	PROPN
ejpam-6348	395	6	,	,	PUNCT
ejpam-6348	395	7	18	18	NUM
ejpam-6348	395	8	(	(	PUNCT
ejpam-6348	395	9	3	3	NUM
ejpam-6348	395	10	)	)	PUNCT
ejpam-6348	395	11	(	(	PUNCT
ejpam-6348	395	12	2025	2025	NUM
ejpam-6348	395	13	)	)	PUNCT
ejpam-6348	395	14	,	,	PUNCT
ejpam-6348	395	15	6348	6348	NUM
ejpam-6348	395	16	23	23	NUM
ejpam-6348	395	17	of	of	ADP
ejpam-6348	395	18	23	23	NUM
ejpam-6348	396	1	[	[	SYM
ejpam-6348	396	2	37	37	NUM
ejpam-6348	396	3	]	]	PUNCT
ejpam-6348	396	4	wael	wael	PROPN
ejpam-6348	396	5	hosny	hosny	PROPN
ejpam-6348	396	6	fouad	fouad	PROPN
ejpam-6348	396	7	aly	aly	PROPN
ejpam-6348	396	8	,	,	PUNCT
ejpam-6348	396	9	hassan	hassan	PROPN
ejpam-6348	396	10	kanj	kanj	PROPN
ejpam-6348	396	11	,	,	PUNCT
ejpam-6348	396	12	samer	samer	PROPN
ejpam-6348	396	13	alabed	alabe	VERB
ejpam-6348	396	14	,	,	PUNCT
ejpam-6348	396	15	nour	nour	PROPN
ejpam-6348	396	16	mostafa	mostafa	PROPN
ejpam-6348	396	17	,	,	PUNCT
ejpam-6348	396	18	and	and	CCONJ
ejpam-6348	396	19	khaled	khaled	PROPN
ejpam-6348	396	20	safi	safi	PROPN
ejpam-6348	396	21	.	.	PUNCT
ejpam-6348	397	1	dynamic	dynamic	ADJ
ejpam-6348	397	2	feedback	feedback	NOUN
ejpam-6348	397	3	versus	versus	ADP
ejpam-6348	397	4	varna	varna	NOUN
ejpam-6348	397	5	-	-	PUNCT
ejpam-6348	397	6	based	base	VERB
ejpam-6348	397	7	techniques	technique	NOUN
ejpam-6348	397	8	for	for	ADP
ejpam-6348	397	9	sdn	sdn	NOUN
ejpam-6348	397	10	controller	controller	NOUN
ejpam-6348	397	11	placement	placement	NOUN
ejpam-6348	397	12	problems	problem	NOUN
ejpam-6348	397	13	.	.	PUNCT
ejpam-6348	398	1	electronics	electronic	NOUN
ejpam-6348	398	2	,	,	PUNCT
ejpam-6348	398	3	11(14):2273	11(14):2273	NUM
ejpam-6348	398	4	,	,	PUNCT
ejpam-6348	398	5	2022	2022	NUM
ejpam-6348	398	6	.	.	PUNCT
ejpam-6348	399	1	[	[	X
ejpam-6348	399	2	38	38	NUM
ejpam-6348	399	3	]	]	PUNCT
ejpam-6348	399	4	mutaz	mutaz	PROPN
ejpam-6348	399	5	ab	ab	PROPN
ejpam-6348	399	6	al	al	PROPN
ejpam-6348	399	7	-	-	PUNCT
ejpam-6348	399	8	tarawneh	tarawneh	PROPN
ejpam-6348	399	9	,	,	PUNCT
ejpam-6348	399	10	hassan	hassan	PROPN
ejpam-6348	399	11	kanj	kanj	PROPN
ejpam-6348	399	12	,	,	PUNCT
ejpam-6348	399	13	and	and	CCONJ
ejpam-6348	399	14	wael	wael	PROPN
ejpam-6348	399	15	hosny	hosny	PROPN
ejpam-6348	399	16	fouad	fouad	PROPN
ejpam-6348	399	17	aly	aly	PROPN
ejpam-6348	399	18	.	.	PUNCT
ejpam-6348	400	1	an	an	DET
ejpam-6348	400	2	integrated	integrate	VERB
ejpam-6348	400	3	mcdm	mcdm	ADJ
ejpam-6348	400	4	framework	framework	NOUN
ejpam-6348	400	5	for	for	ADP
ejpam-6348	400	6	trust	trust	NOUN
ejpam-6348	400	7	-	-	PUNCT
ejpam-6348	400	8	aware	aware	ADJ
ejpam-6348	400	9	and	and	CCONJ
ejpam-6348	400	10	fair	fair	ADJ
ejpam-6348	400	11	task	task	NOUN
ejpam-6348	400	12	offloading	offloading	NOUN
ejpam-6348	400	13	in	in	ADP
ejpam-6348	400	14	heterogeneous	heterogeneous	ADJ
ejpam-6348	400	15	multiprovider	multiprovider	NOUN
ejpam-6348	400	16	edge	edge	NOUN
ejpam-6348	400	17	-	-	PUNCT
ejpam-6348	400	18	fog	fog	NOUN
ejpam-6348	400	19	-	-	PUNCT
ejpam-6348	400	20	cloud	cloud	NOUN
ejpam-6348	400	21	systems	system	NOUN
ejpam-6348	400	22	.	.	PUNCT
ejpam-6348	401	1	results	result	NOUN
ejpam-6348	401	2	in	in	ADP
ejpam-6348	401	3	engineering	engineering	NOUN
ejpam-6348	401	4	,	,	PUNCT
ejpam-6348	401	5	page	page	NOUN
ejpam-6348	401	6	105228	105228	NUM
ejpam-6348	401	7	,	,	PUNCT
ejpam-6348	401	8	2025	2025	NUM
ejpam-6348	401	9	.	.	PUNCT
ejpam-6348	402	1	[	[	X
ejpam-6348	402	2	39	39	NUM
ejpam-6348	402	3	]	]	PUNCT
ejpam-6348	402	4	kassem	kassem	PROPN
ejpam-6348	402	5	danach	danach	PROPN
ejpam-6348	402	6	,	,	PUNCT
ejpam-6348	402	7	hassan	hassan	PROPN
ejpam-6348	402	8	harb	harb	PROPN
ejpam-6348	402	9	,	,	PUNCT
ejpam-6348	402	10	ameer	ameer	PROPN
ejpam-6348	402	11	sardar	sardar	PROPN
ejpam-6348	402	12	kwekha	kwekha	PROPN
ejpam-6348	402	13	rashid	rashid	PROPN
ejpam-6348	402	14	,	,	PUNCT
ejpam-6348	402	15	mutaz	mutaz	PROPN
ejpam-6348	402	16	ab	ab	PROPN
ejpam-6348	402	17	altarawneh	altarawneh	PROPN
ejpam-6348	402	18	,	,	PUNCT
ejpam-6348	402	19	and	and	CCONJ
ejpam-6348	402	20	wael	wael	PROPN
ejpam-6348	402	21	hosny	hosny	PROPN
ejpam-6348	402	22	fouad	fouad	PROPN
ejpam-6348	402	23	aly	aly	PROPN
ejpam-6348	402	24	.	.	PUNCT
ejpam-6348	402	25	location	location	NOUN
ejpam-6348	402	26	planning	planning	NOUN
ejpam-6348	402	27	techniques	technique	NOUN
ejpam-6348	402	28	for	for	ADP
ejpam-6348	402	29	internet	internet	NOUN
ejpam-6348	402	30	provider	provider	NOUN
ejpam-6348	402	31	service	service	NOUN
ejpam-6348	402	32	unmanned	unmanned	ADJ
ejpam-6348	402	33	aerial	aerial	ADJ
ejpam-6348	402	34	vehicles	vehicle	NOUN
ejpam-6348	402	35	during	during	ADP
ejpam-6348	402	36	crisis	crisis	NOUN
ejpam-6348	402	37	.	.	PUNCT
ejpam-6348	403	1	results	result	NOUN
ejpam-6348	403	2	in	in	ADP
ejpam-6348	403	3	engineering	engineering	NOUN
ejpam-6348	403	4	,	,	PUNCT
ejpam-6348	403	5	25:103833	25:103833	NUM
ejpam-6348	403	6	,	,	PUNCT
ejpam-6348	403	7	2025	2025	NUM
ejpam-6348	403	8	.	.	PUNCT
ejpam-6348	404	1	[	[	X
ejpam-6348	404	2	40	40	NUM
ejpam-6348	404	3	]	]	X
ejpam-6348	404	4	hassan	hassan	PROPN
ejpam-6348	404	5	kanj	kanj	PROPN
ejpam-6348	404	6	,	,	PUNCT
ejpam-6348	404	7	ajla	ajla	PROPN
ejpam-6348	404	8	kulaglic	kulaglic	PROPN
ejpam-6348	404	9	,	,	PUNCT
ejpam-6348	404	10	wael	wael	PROPN
ejpam-6348	404	11	hosny	hosny	PROPN
ejpam-6348	404	12	fouad	fouad	PROPN
ejpam-6348	404	13	aly	aly	PROPN
ejpam-6348	404	14	,	,	PUNCT
ejpam-6348	404	15	mutaz	mutaz	PROPN
ejpam-6348	404	16	ab	ab	PROPN
ejpam-6348	404	17	al	al	PROPN
ejpam-6348	404	18	-	-	PUNCT
ejpam-6348	404	19	tarawneh	tarawneh	PROPN
ejpam-6348	404	20	,	,	PUNCT
ejpam-6348	404	21	khaled	khaled	PROPN
ejpam-6348	404	22	safi	safi	PROPN
ejpam-6348	404	23	,	,	PUNCT
ejpam-6348	404	24	sawsan	sawsan	PROPN
ejpam-6348	404	25	kanj	kanj	PROPN
ejpam-6348	404	26	,	,	PUNCT
ejpam-6348	404	27	and	and	CCONJ
ejpam-6348	404	28	jean	jean	PROPN
ejpam-6348	404	29	-	-	PUNCT
ejpam-6348	404	30	marie	marie	PROPN
ejpam-6348	404	31	flaus	flaus	PROPN
ejpam-6348	404	32	.	.	PUNCT
ejpam-6348	405	1	agent	agent	NOUN
ejpam-6348	405	2	-	-	PUNCT
ejpam-6348	405	3	based	base	VERB
ejpam-6348	405	4	risk	risk	NOUN
ejpam-6348	405	5	analysis	analysis	NOUN
ejpam-6348	405	6	model	model	NOUN
ejpam-6348	405	7	for	for	ADP
ejpam-6348	405	8	road	road	NOUN
ejpam-6348	405	9	transportation	transportation	NOUN
ejpam-6348	405	10	of	of	ADP
ejpam-6348	405	11	dangerous	dangerous	ADJ
ejpam-6348	405	12	goods	good	NOUN
ejpam-6348	405	13	.	.	PUNCT
ejpam-6348	406	1	results	result	NOUN
ejpam-6348	406	2	in	in	ADP
ejpam-6348	406	3	engineering	engineering	NOUN
ejpam-6348	406	4	,	,	PUNCT
ejpam-6348	406	5	25:103944	25:103944	X
ejpam-6348	406	6	,	,	PUNCT
ejpam-6348	406	7	2025	2025	NUM
ejpam-6348	406	8	.	.	PUNCT
ejpam-6348	407	1	[	[	X
ejpam-6348	407	2	41	41	NUM
ejpam-6348	407	3	]	]	X
ejpam-6348	407	4	hassan	hassan	PROPN
ejpam-6348	407	5	kanj	kanj	PROPN
ejpam-6348	407	6	,	,	PUNCT
ejpam-6348	407	7	wael	wael	PROPN
ejpam-6348	407	8	hosny	hosny	PROPN
ejpam-6348	407	9	fouad	fouad	PROPN
ejpam-6348	407	10	aly	aly	PROPN
ejpam-6348	407	11	,	,	PUNCT
ejpam-6348	407	12	and	and	CCONJ
ejpam-6348	407	13	sawsan	sawsan	PROPN
ejpam-6348	407	14	kanj	kanj	PROPN
ejpam-6348	407	15	.	.	PUNCT
ejpam-6348	408	1	a	a	DET
ejpam-6348	408	2	novel	novel	ADJ
ejpam-6348	408	3	dynamic	dynamic	ADJ
ejpam-6348	408	4	approach	approach	NOUN
ejpam-6348	408	5	for	for	ADP
ejpam-6348	408	6	risk	risk	NOUN
ejpam-6348	408	7	analysis	analysis	NOUN
ejpam-6348	408	8	and	and	CCONJ
ejpam-6348	408	9	simulation	simulation	NOUN
ejpam-6348	408	10	using	use	VERB
ejpam-6348	408	11	multi	multi	ADJ
ejpam-6348	408	12	-	-	ADJ
ejpam-6348	408	13	agents	agent	NOUN
ejpam-6348	408	14	model	model	NOUN
ejpam-6348	408	15	.	.	PUNCT
ejpam-6348	409	1	applied	apply	VERB
ejpam-6348	409	2	sciences	science	NOUN
ejpam-6348	409	3	,	,	PUNCT
ejpam-6348	409	4	12(10):5062	12(10):5062	NUM
ejpam-6348	409	5	,	,	PUNCT
ejpam-6348	409	6	2022	2022	NUM
ejpam-6348	409	7	.	.	PUNCT
ejpam-6348	410	1	[	[	X
ejpam-6348	410	2	42	42	NUM
ejpam-6348	410	3	]	]	X
ejpam-6348	410	4	samer	samer	PROPN
ejpam-6348	410	5	alabed	alabe	VERB
ejpam-6348	410	6	,	,	PUNCT
ejpam-6348	410	7	nour	nour	PROPN
ejpam-6348	410	8	mostafa	mostafa	PROPN
ejpam-6348	410	9	,	,	PUNCT
ejpam-6348	410	10	wael	wael	PROPN
ejpam-6348	410	11	hosny	hosny	PROPN
ejpam-6348	410	12	fouad	fouad	PROPN
ejpam-6348	410	13	aly	aly	PROPN
ejpam-6348	410	14	,	,	PUNCT
ejpam-6348	410	15	and	and	CCONJ
ejpam-6348	410	16	mohammad	mohammad	PROPN
ejpam-6348	410	17	al	al	PROPN
ejpam-6348	410	18	-	-	PUNCT
ejpam-6348	410	19	rabayah	rabayah	PROPN
ejpam-6348	410	20	.	.	PUNCT
ejpam-6348	411	1	a	a	DET
ejpam-6348	411	2	low	low	ADJ
ejpam-6348	411	3	complexity	complexity	NOUN
ejpam-6348	411	4	distributed	distribute	VERB
ejpam-6348	411	5	differential	differential	NOUN
ejpam-6348	411	6	scheme	scheme	NOUN
ejpam-6348	411	7	based	base	VERB
ejpam-6348	411	8	on	on	ADP
ejpam-6348	411	9	orthogonal	orthogonal	ADJ
ejpam-6348	411	10	space	space	NOUN
ejpam-6348	411	11	time	time	NOUN
ejpam-6348	411	12	block	block	NOUN
ejpam-6348	411	13	coding	code	VERB
ejpam-6348	411	14	for	for	ADP
ejpam-6348	411	15	decode	decode	NOUN
ejpam-6348	411	16	-	-	PUNCT
ejpam-6348	411	17	and	and	CCONJ
ejpam-6348	411	18	-	-	PUNCT
ejpam-6348	411	19	forward	forward	NOUN
ejpam-6348	411	20	wireless	wireless	ADJ
ejpam-6348	411	21	relay	relay	NOUN
ejpam-6348	411	22	networks	network	NOUN
ejpam-6348	411	23	.	.	PUNCT
ejpam-6348	412	1	international	international	ADJ
ejpam-6348	412	2	journal	journal	PROPN
ejpam-6348	412	3	of	of	ADP
ejpam-6348	412	4	electrical	electrical	ADJ
ejpam-6348	412	5	&	&	CCONJ
ejpam-6348	412	6	computer	computer	PROPN
ejpam-6348	412	7	engineering	engineering	NOUN
ejpam-6348	412	8	(	(	PUNCT
ejpam-6348	412	9	2088	2088	NUM
ejpam-6348	412	10	-	-	SYM
ejpam-6348	412	11	8708	8708	NUM
ejpam-6348	412	12	)	)	PUNCT
ejpam-6348	412	13	,	,	PUNCT
ejpam-6348	412	14	13(1	13(1	NUM
ejpam-6348	412	15	)	)	PUNCT
ejpam-6348	412	16	,	,	PUNCT
ejpam-6348	412	17	2023	2023	NUM
ejpam-6348	412	18	.	.	PUNCT
ejpam-6348	413	1	[	[	X
ejpam-6348	413	2	43	43	NUM
ejpam-6348	413	3	]	]	X
ejpam-6348	413	4	ibrahim	ibrahim	PROPN
ejpam-6348	413	5	mahariq	mahariq	PROPN
ejpam-6348	413	6	,	,	PUNCT
ejpam-6348	413	7	ibrahim	ibrahim	PROPN
ejpam-6348	413	8	h	h	PROPN
ejpam-6348	413	9	giden	giden	PROPN
ejpam-6348	413	10	,	,	PUNCT
ejpam-6348	413	11	shadi	shadi	PROPN
ejpam-6348	413	12	alboon	alboon	NOUN
ejpam-6348	413	13	,	,	PUNCT
ejpam-6348	413	14	wael	wael	PROPN
ejpam-6348	413	15	hosny	hosny	PROPN
ejpam-6348	413	16	fouad	fouad	PROPN
ejpam-6348	413	17	aly	aly	PROPN
ejpam-6348	413	18	,	,	PUNCT
ejpam-6348	413	19	ahmed	ahmed	PROPN
ejpam-6348	413	20	youssef	youssef	PROPN
ejpam-6348	413	21	,	,	PUNCT
ejpam-6348	413	22	and	and	CCONJ
ejpam-6348	413	23	hamza	hamza	PROPN
ejpam-6348	413	24	kurt	kurt	PROPN
ejpam-6348	413	25	.	.	PUNCT
ejpam-6348	414	1	investigation	investigation	NOUN
ejpam-6348	414	2	and	and	CCONJ
ejpam-6348	414	3	analysis	analysis	NOUN
ejpam-6348	414	4	of	of	ADP
ejpam-6348	414	5	acoustojets	acoustojet	NOUN
ejpam-6348	414	6	by	by	ADP
ejpam-6348	414	7	spectral	spectral	ADJ
ejpam-6348	414	8	element	element	NOUN
ejpam-6348	414	9	method	method	NOUN
ejpam-6348	414	10	.	.	PUNCT
ejpam-6348	415	1	mathematics	mathematic	NOUN
ejpam-6348	415	2	,	,	PUNCT
ejpam-6348	415	3	10(17):3145	10(17):3145	NUM
ejpam-6348	415	4	,	,	PUNCT
ejpam-6348	415	5	2022	2022	NUM
ejpam-6348	415	6	.	.	PUNCT
ejpam-6348	416	1	[	[	X
ejpam-6348	416	2	44	44	NUM
ejpam-6348	416	3	]	]	PUNCT
ejpam-6348	416	4	khaled	khaled	PROPN
ejpam-6348	416	5	safi	safi	PROPN
ejpam-6348	416	6	,	,	PUNCT
ejpam-6348	416	7	wael	wael	PROPN
ejpam-6348	416	8	hosny	hosny	PROPN
ejpam-6348	416	9	fouad	fouad	PROPN
ejpam-6348	416	10	aly	aly	PROPN
ejpam-6348	416	11	,	,	PUNCT
ejpam-6348	416	12	hassan	hassan	PROPN
ejpam-6348	416	13	kanj	kanj	PROPN
ejpam-6348	416	14	,	,	PUNCT
ejpam-6348	416	15	tarek	tarek	PROPN
ejpam-6348	416	16	khalifa	khalifa	PROPN
ejpam-6348	416	17	,	,	PUNCT
ejpam-6348	416	18	mouna	mouna	PROPN
ejpam-6348	416	19	ghedira	ghedira	PROPN
ejpam-6348	416	20	,	,	PUNCT
ejpam-6348	416	21	and	and	CCONJ
ejpam-6348	416	22	emilie	emilie	PROPN
ejpam-6348	416	23	hutin	hutin	PROPN
ejpam-6348	416	24	.	.	PUNCT
ejpam-6348	417	1	hidden	hide	VERB
ejpam-6348	417	2	markov	markov	NOUN
ejpam-6348	417	3	model	model	NOUN
ejpam-6348	417	4	for	for	ADP
ejpam-6348	417	5	parkinson	parkinson	NOUN
ejpam-6348	417	6	’s	’s	PART
ejpam-6348	417	7	disease	disease	NOUN
ejpam-6348	417	8	patients	patient	NOUN
ejpam-6348	417	9	using	use	VERB
ejpam-6348	417	10	balance	balance	NOUN
ejpam-6348	417	11	control	control	NOUN
ejpam-6348	417	12	data	datum	NOUN
ejpam-6348	417	13	.	.	PUNCT
ejpam-6348	418	1	bioengineering	bioengineering	NOUN
ejpam-6348	418	2	,	,	PUNCT
ejpam-6348	418	3	11(1):88	11(1):88	NUM
ejpam-6348	418	4	,	,	PUNCT
ejpam-6348	418	5	2024	2024	NUM
ejpam-6348	418	6	.	.	PUNCT
ejpam-6348	419	1	[	[	X
ejpam-6348	419	2	45	45	NUM
ejpam-6348	419	3	]	]	PUNCT
ejpam-6348	419	4	mutaz	mutaz	PROPN
ejpam-6348	419	5	ab	ab	PROPN
ejpam-6348	419	6	al	al	PROPN
ejpam-6348	419	7	-	-	PUNCT
ejpam-6348	419	8	tarawneh	tarawneh	PROPN
ejpam-6348	419	9	,	,	PUNCT
ejpam-6348	419	10	omar	omar	PROPN
ejpam-6348	419	11	al	al	PROPN
ejpam-6348	419	12	-	-	PUNCT
ejpam-6348	419	13	irr	irr	PROPN
ejpam-6348	419	14	,	,	PUNCT
ejpam-6348	419	15	khaled	khaled	PROPN
ejpam-6348	419	16	s	s	PROPN
ejpam-6348	419	17	al	al	PROPN
ejpam-6348	419	18	-	-	PUNCT
ejpam-6348	419	19	maaitah	maaitah	PROPN
ejpam-6348	419	20	,	,	PUNCT
ejpam-6348	419	21	hassan	hassan	PROPN
ejpam-6348	419	22	kanj	kanj	PROPN
ejpam-6348	419	23	,	,	PUNCT
ejpam-6348	419	24	and	and	CCONJ
ejpam-6348	419	25	wael	wael	PROPN
ejpam-6348	419	26	hosny	hosny	PROPN
ejpam-6348	419	27	fouad	fouad	PROPN
ejpam-6348	419	28	aly	aly	PROPN
ejpam-6348	419	29	.	.	PUNCT
ejpam-6348	420	1	enhancing	enhance	VERB
ejpam-6348	420	2	fake	fake	ADJ
ejpam-6348	420	3	news	news	NOUN
ejpam-6348	420	4	detection	detection	NOUN
ejpam-6348	420	5	with	with	ADP
ejpam-6348	420	6	word	word	NOUN
ejpam-6348	420	7	embedding	embed	VERB
ejpam-6348	420	8	:	:	PUNCT
ejpam-6348	420	9	a	a	DET
ejpam-6348	420	10	machine	machine	NOUN
ejpam-6348	420	11	learning	learning	NOUN
ejpam-6348	420	12	and	and	CCONJ
ejpam-6348	420	13	deep	deep	ADJ
ejpam-6348	420	14	learning	learning	NOUN
ejpam-6348	420	15	approach	approach	NOUN
ejpam-6348	420	16	.	.	PUNCT
ejpam-6348	421	1	computers	computer	NOUN
ejpam-6348	421	2	,	,	PUNCT
ejpam-6348	421	3	13(9):239	13(9):239	NUM
ejpam-6348	421	4	,	,	PUNCT
ejpam-6348	421	5	2024	2024	NUM
ejpam-6348	421	6	.	.	PUNCT