id	sid	tid	token	lemma	pos
ajema-8275	1	1	39	39	NUM
ajema-8275	1	2	journal	journal	NOUN
ajema-8275	1	3	of	of	ADP
ajema-8275	1	4	engineering	engineering	NOUN
ajema-8275	1	5	,	,	PUNCT
ajema-8275	1	6	mechanics	mechanic	NOUN
ajema-8275	1	7	and	and	CCONJ
ajema-8275	1	8	architecture	architecture	NOUN
ajema-8275	1	9	www	www	NOUN
ajema-8275	1	10	.	.	PUNCT
ajema-8275	2	1	grnjournal.us	grnjournal.us	PROPN
ajema-8275	2	2	american	american	PROPN
ajema-8275	2	3	journal	journal	PROPN
ajema-8275	2	4	of	of	ADP
ajema-8275	2	5	engineering	engineering	NOUN
ajema-8275	2	6	,	,	PUNCT
ajema-8275	2	7	mechanics	mechanic	NOUN
ajema-8275	2	8	and	and	CCONJ
ajema-8275	2	9	architecture	architecture	NOUN
ajema-8275	2	10	volume	volume	NOUN
ajema-8275	2	11	3	3	NUM
ajema-8275	2	12	,	,	PUNCT
ajema-8275	2	13	issue	issue	NOUN
ajema-8275	2	14	8	8	NUM
ajema-8275	2	15	,	,	PUNCT
ajema-8275	2	16	2025	2025	NUM
ajema-8275	2	17	issn	issn	X
ajema-8275	2	18	(	(	PUNCT
ajema-8275	2	19	e	e	NOUN
ajema-8275	2	20	):	):	PUNCT
ajema-8275	2	21	2993	2993	NUM
ajema-8275	2	22	-	-	SYM
ajema-8275	2	23	2637	2637	NUM
ajema-8275	2	24	grey	grey	PROPN
ajema-8275	2	25	wolf	wolf	PROPN
ajema-8275	2	26	optimization	optimization	NOUN
ajema-8275	2	27	algorithm	algorithm	NOUN
ajema-8275	2	28	for	for	ADP
ajema-8275	2	29	solving	solve	VERB
ajema-8275	2	30	multiple	multiple	ADJ
ajema-8275	2	31	sequence	sequence	NOUN
ajema-8275	2	32	alignment	alignment	NOUN
ajema-8275	2	33	(	(	PUNCT
ajema-8275	2	34	msa	msa	PROPN
ajema-8275	2	35	)	)	PUNCT
ajema-8275	2	36	ratan	ratan	PROPN
ajema-8275	2	37	mani	mani	PROPN
ajema-8275	2	38	prasad	prasad	PROPN
ajema-8275	2	39	senior	senior	ADJ
ajema-8275	2	40	assistant	assistant	NOUN
ajema-8275	2	41	professor	professor	NOUN
ajema-8275	2	42	,	,	PUNCT
ajema-8275	2	43	department	department	NOUN
ajema-8275	2	44	of	of	ADP
ajema-8275	2	45	mathematics	mathematics	PROPN
ajema-8275	2	46	,	,	PUNCT
ajema-8275	2	47	s.	s.	PROPN
ajema-8275	2	48	n.	n.	PROPN
ajema-8275	2	49	sinha	sinha	PROPN
ajema-8275	2	50	college	college	PROPN
ajema-8275	2	51	,	,	PUNCT
ajema-8275	2	52	tekari	tekari	NOUN
ajema-8275	2	53	,	,	PUNCT
ajema-8275	2	54	magadh	magadh	NOUN
ajema-8275	2	55	university	university	PROPN
ajema-8275	2	56	,	,	PUNCT
ajema-8275	2	57	bodhgaya	bodhgaya	NOUN
ajema-8275	2	58	,	,	PUNCT
ajema-8275	2	59	bihar-824236	bihar-824236	NOUN
ajema-8275	2	60	,	,	PUNCT
ajema-8275	2	61	india	india	PROPN
ajema-8275	2	62	rajeev	rajeev	PROPN
ajema-8275	2	63	kumar	kumar	PROPN
ajema-8275	2	64	pathak	pathak	PROPN
ajema-8275	2	65	research	research	PROPN
ajema-8275	2	66	scholar	scholar	NOUN
ajema-8275	2	67	,	,	PUNCT
ajema-8275	2	68	department	department	NOUN
ajema-8275	2	69	of	of	ADP
ajema-8275	2	70	mathematics	mathematics	PROPN
ajema-8275	2	71	,	,	PUNCT
ajema-8275	2	72	magadh	magadh	NOUN
ajema-8275	2	73	university	university	PROPN
ajema-8275	2	74	,	,	PUNCT
ajema-8275	2	75	bodhgaya	bodhgaya	NOUN
ajema-8275	2	76	,	,	PUNCT
ajema-8275	2	77	bihar-824234	bihar-824234	NOUN
ajema-8275	2	78	,	,	PUNCT
ajema-8275	2	79	india	india	PROPN
ajema-8275	2	80	abstract	abstract	NOUN
ajema-8275	2	81	:	:	PUNCT
ajema-8275	2	82	multiple	multiple	ADJ
ajema-8275	2	83	sequence	sequence	NOUN
ajema-8275	2	84	alignment	alignment	NOUN
ajema-8275	2	85	(	(	PUNCT
ajema-8275	2	86	msa	msa	PROPN
ajema-8275	2	87	)	)	PUNCT
ajema-8275	2	88	is	be	AUX
ajema-8275	2	89	a	a	DET
ajema-8275	2	90	critical	critical	ADJ
ajema-8275	2	91	task	task	NOUN
ajema-8275	2	92	in	in	ADP
ajema-8275	2	93	bioinformatics	bioinformatics	NOUN
ajema-8275	2	94	,	,	PUNCT
ajema-8275	2	95	involving	involve	VERB
ajema-8275	2	96	the	the	DET
ajema-8275	2	97	arrangement	arrangement	NOUN
ajema-8275	2	98	of	of	ADP
ajema-8275	2	99	sequences	sequence	NOUN
ajema-8275	2	100	to	to	PART
ajema-8275	2	101	identify	identify	VERB
ajema-8275	2	102	similarities	similarity	NOUN
ajema-8275	2	103	and	and	CCONJ
ajema-8275	2	104	differences	difference	NOUN
ajema-8275	2	105	,	,	PUNCT
ajema-8275	2	106	which	which	PRON
ajema-8275	2	107	can	can	AUX
ajema-8275	2	108	be	be	AUX
ajema-8275	2	109	crucial	crucial	ADJ
ajema-8275	2	110	for	for	ADP
ajema-8275	2	111	understanding	understand	VERB
ajema-8275	2	112	evolutionary	evolutionary	ADJ
ajema-8275	2	113	relationships	relationship	NOUN
ajema-8275	2	114	,	,	PUNCT
ajema-8275	2	115	protein	protein	NOUN
ajema-8275	2	116	structure	structure	NOUN
ajema-8275	2	117	,	,	PUNCT
ajema-8275	2	118	and	and	CCONJ
ajema-8275	2	119	function	function	NOUN
ajema-8275	2	120	.	.	PUNCT
ajema-8275	3	1	traditional	traditional	ADJ
ajema-8275	3	2	msa	msa	PROPN
ajema-8275	3	3	methods	method	NOUN
ajema-8275	3	4	,	,	PUNCT
ajema-8275	3	5	while	while	SCONJ
ajema-8275	3	6	effective	effective	ADJ
ajema-8275	3	7	,	,	PUNCT
ajema-8275	3	8	can	can	AUX
ajema-8275	3	9	struggle	struggle	VERB
ajema-8275	3	10	with	with	ADP
ajema-8275	3	11	computational	computational	ADJ
ajema-8275	3	12	complexity	complexity	NOUN
ajema-8275	3	13	and	and	CCONJ
ajema-8275	3	14	the	the	DET
ajema-8275	3	15	accuracy	accuracy	NOUN
ajema-8275	3	16	of	of	ADP
ajema-8275	3	17	large	large	ADJ
ajema-8275	3	18	datasets	dataset	NOUN
ajema-8275	3	19	.	.	PUNCT
ajema-8275	4	1	in	in	ADP
ajema-8275	4	2	this	this	DET
ajema-8275	4	3	paper	paper	NOUN
ajema-8275	4	4	,	,	PUNCT
ajema-8275	4	5	we	we	PRON
ajema-8275	4	6	explore	explore	VERB
ajema-8275	4	7	the	the	DET
ajema-8275	4	8	utilization	utilization	NOUN
ajema-8275	4	9	of	of	ADP
ajema-8275	4	10	grey	grey	ADJ
ajema-8275	4	11	wolf	wolf	PROPN
ajema-8275	4	12	optimization	optimization	NOUN
ajema-8275	4	13	(	(	PUNCT
ajema-8275	4	14	gwo	gwo	PROPN
ajema-8275	4	15	)	)	PUNCT
ajema-8275	4	16	,	,	PUNCT
ajema-8275	4	17	a	a	DET
ajema-8275	4	18	powerful	powerful	ADJ
ajema-8275	4	19	nature	nature	NOUN
ajema-8275	4	20	-	-	PUNCT
ajema-8275	4	21	inspired	inspire	VERB
ajema-8275	4	22	algorithm	algorithm	NOUN
ajema-8275	4	23	,	,	PUNCT
ajema-8275	4	24	to	to	ADP
ajema-8275	4	25	the	the	DET
ajema-8275	4	26	msa	msa	PROPN
ajema-8275	4	27	problem	problem	NOUN
ajema-8275	4	28	.	.	PUNCT
ajema-8275	5	1	gwo	gwo	PROPN
ajema-8275	5	2	mimics	mimic	VERB
ajema-8275	5	3	the	the	DET
ajema-8275	5	4	hunting	hunt	VERB
ajema-8275	5	5	behavior	behavior	NOUN
ajema-8275	5	6	and	and	CCONJ
ajema-8275	5	7	social	social	ADJ
ajema-8275	5	8	hierarchy	hierarchy	NOUN
ajema-8275	5	9	of	of	ADP
ajema-8275	5	10	grey	grey	ADJ
ajema-8275	5	11	wolves	wolf	NOUN
ajema-8275	5	12	to	to	PART
ajema-8275	5	13	find	find	VERB
ajema-8275	5	14	optimal	optimal	ADJ
ajema-8275	5	15	solutions	solution	NOUN
ajema-8275	5	16	in	in	ADP
ajema-8275	5	17	complex	complex	ADJ
ajema-8275	5	18	search	search	NOUN
ajema-8275	5	19	spaces	space	NOUN
ajema-8275	5	20	.	.	PUNCT
ajema-8275	6	1	however	however	ADV
ajema-8275	6	2	,	,	PUNCT
ajema-8275	6	3	the	the	DET
ajema-8275	6	4	performance	performance	NOUN
ajema-8275	6	5	of	of	ADP
ajema-8275	6	6	gwo	gwo	PROPN
ajema-8275	6	7	in	in	ADP
ajema-8275	6	8	msa	msa	PROPN
ajema-8275	6	9	can	can	AUX
ajema-8275	6	10	be	be	AUX
ajema-8275	6	11	limited	limit	VERB
ajema-8275	6	12	by	by	ADP
ajema-8275	6	13	its	its	PRON
ajema-8275	6	14	exploration	exploration	NOUN
ajema-8275	6	15	and	and	CCONJ
ajema-8275	6	16	exploitation	exploitation	NOUN
ajema-8275	6	17	balance	balance	NOUN
ajema-8275	6	18	.	.	PUNCT
ajema-8275	7	1	to	to	PART
ajema-8275	7	2	address	address	VERB
ajema-8275	7	3	this	this	PRON
ajema-8275	7	4	,	,	PUNCT
ajema-8275	7	5	we	we	PRON
ajema-8275	7	6	propose	propose	VERB
ajema-8275	7	7	an	an	DET
ajema-8275	7	8	improved	improved	ADJ
ajema-8275	7	9	gwo	gwo	NOUN
ajema-8275	7	10	operator	operator	NOUN
ajema-8275	7	11	that	that	PRON
ajema-8275	7	12	refines	refine	VERB
ajema-8275	7	13	the	the	DET
ajema-8275	7	14	algorithm	algorithm	NOUN
ajema-8275	7	15	's	's	PART
ajema-8275	7	16	search	search	NOUN
ajema-8275	7	17	capabilities	capability	NOUN
ajema-8275	7	18	,	,	PUNCT
ajema-8275	7	19	enhancing	enhance	VERB
ajema-8275	7	20	its	its	PRON
ajema-8275	7	21	ability	ability	NOUN
ajema-8275	7	22	to	to	PART
ajema-8275	7	23	identify	identify	VERB
ajema-8275	7	24	higher	high	ADJ
ajema-8275	7	25	-	-	PUNCT
ajema-8275	7	26	quality	quality	NOUN
ajema-8275	7	27	sequence	sequence	NOUN
ajema-8275	7	28	alignments	alignment	NOUN
ajema-8275	7	29	.	.	PUNCT
ajema-8275	8	1	our	our	PRON
ajema-8275	8	2	methodology	methodology	NOUN
ajema-8275	8	3	involves	involve	VERB
ajema-8275	8	4	adapting	adapt	VERB
ajema-8275	8	5	gwo	gwo	NOUN
ajema-8275	8	6	to	to	ADP
ajema-8275	8	7	the	the	DET
ajema-8275	8	8	msa	msa	PROPN
ajema-8275	8	9	problem	problem	NOUN
ajema-8275	8	10	by	by	ADP
ajema-8275	8	11	representing	represent	VERB
ajema-8275	8	12	sequence	sequence	NOUN
ajema-8275	8	13	alignments	alignment	NOUN
ajema-8275	8	14	as	as	ADP
ajema-8275	8	15	solutions	solution	NOUN
ajema-8275	8	16	and	and	CCONJ
ajema-8275	8	17	employing	employ	VERB
ajema-8275	8	18	a	a	DET
ajema-8275	8	19	fitness	fitness	NOUN
ajema-8275	8	20	function	function	NOUN
ajema-8275	8	21	that	that	PRON
ajema-8275	8	22	measures	measure	VERB
ajema-8275	8	23	alignment	alignment	ADJ
ajema-8275	8	24	quality	quality	NOUN
ajema-8275	8	25	.	.	PUNCT
ajema-8275	9	1	the	the	DET
ajema-8275	9	2	proposed	propose	VERB
ajema-8275	9	3	operator	operator	NOUN
ajema-8275	9	4	modification	modification	NOUN
ajema-8275	9	5	enhances	enhance	VERB
ajema-8275	9	6	the	the	DET
ajema-8275	9	7	algorithm	algorithm	NOUN
ajema-8275	9	8	’s	’s	PART
ajema-8275	9	9	convergence	convergence	NOUN
ajema-8275	9	10	speed	speed	NOUN
ajema-8275	9	11	and	and	CCONJ
ajema-8275	9	12	accuracy	accuracy	NOUN
ajema-8275	9	13	,	,	PUNCT
ajema-8275	9	14	ensuring	ensure	VERB
ajema-8275	9	15	more	more	ADV
ajema-8275	9	16	reliable	reliable	ADJ
ajema-8275	9	17	alignment	alignment	NOUN
ajema-8275	9	18	results	result	NOUN
ajema-8275	9	19	.	.	PUNCT
ajema-8275	10	1	we	we	PRON
ajema-8275	10	2	compare	compare	VERB
ajema-8275	10	3	the	the	DET
ajema-8275	10	4	improved	improved	ADJ
ajema-8275	10	5	gwo	gwo	NOUN
ajema-8275	10	6	approach	approach	NOUN
ajema-8275	10	7	with	with	ADP
ajema-8275	10	8	traditional	traditional	ADJ
ajema-8275	10	9	msa	msa	PROPN
ajema-8275	10	10	techniques	technique	NOUN
ajema-8275	10	11	and	and	CCONJ
ajema-8275	10	12	demonstrate	demonstrate	VERB
ajema-8275	10	13	that	that	SCONJ
ajema-8275	10	14	it	it	PRON
ajema-8275	10	15	consistently	consistently	ADV
ajema-8275	10	16	outperforms	outperform	VERB
ajema-8275	10	17	existing	exist	VERB
ajema-8275	10	18	methods	method	NOUN
ajema-8275	10	19	in	in	ADP
ajema-8275	10	20	both	both	PRON
ajema-8275	10	21	accuracy	accuracy	NOUN
ajema-8275	10	22	and	and	CCONJ
ajema-8275	10	23	computational	computational	ADJ
ajema-8275	10	24	efficiency	efficiency	NOUN
ajema-8275	10	25	.	.	PUNCT
ajema-8275	11	1	the	the	DET
ajema-8275	11	2	results	result	NOUN
ajema-8275	11	3	of	of	ADP
ajema-8275	11	4	our	our	PRON
ajema-8275	11	5	experiments	experiment	NOUN
ajema-8275	11	6	show	show	VERB
ajema-8275	11	7	that	that	SCONJ
ajema-8275	11	8	the	the	DET
ajema-8275	11	9	enhanced	enhance	VERB
ajema-8275	11	10	gwo	gwo	PROPN
ajema-8275	11	11	algorithm	algorithm	PROPN
ajema-8275	11	12	offers	offer	VERB
ajema-8275	11	13	a	a	DET
ajema-8275	11	14	promising	promising	ADJ
ajema-8275	11	15	alternative	alternative	NOUN
ajema-8275	11	16	to	to	ADP
ajema-8275	11	17	traditional	traditional	ADJ
ajema-8275	11	18	msa	msa	PROPN
ajema-8275	11	19	methods	method	NOUN
ajema-8275	11	20	,	,	PUNCT
ajema-8275	11	21	especially	especially	ADV
ajema-8275	11	22	when	when	SCONJ
ajema-8275	11	23	contending	contend	VERB
ajema-8275	11	24	with	with	ADP
ajema-8275	11	25	large	large	ADJ
ajema-8275	11	26	,	,	PUNCT
ajema-8275	11	27	complex	complex	ADJ
ajema-8275	11	28	sequence	sequence	NOUN
ajema-8275	11	29	datasets	dataset	NOUN
ajema-8275	11	30	.	.	PUNCT
ajema-8275	12	1	this	this	DET
ajema-8275	12	2	work	work	NOUN
ajema-8275	12	3	contributes	contribute	VERB
ajema-8275	12	4	to	to	ADP
ajema-8275	12	5	the	the	DET
ajema-8275	12	6	growing	grow	VERB
ajema-8275	12	7	field	field	NOUN
ajema-8275	12	8	of	of	ADP
ajema-8275	12	9	computational	computational	ADJ
ajema-8275	12	10	biology	biology	NOUN
ajema-8275	12	11	by	by	ADP
ajema-8275	12	12	providing	provide	VERB
ajema-8275	12	13	a	a	DET
ajema-8275	12	14	more	more	ADV
ajema-8275	12	15	efficient	efficient	ADJ
ajema-8275	12	16	and	and	CCONJ
ajema-8275	12	17	effective	effective	ADJ
ajema-8275	12	18	tool	tool	NOUN
ajema-8275	12	19	for	for	ADP
ajema-8275	12	20	sequence	sequence	NOUN
ajema-8275	12	21	alignment	alignment	NOUN
ajema-8275	12	22	,	,	PUNCT
ajema-8275	12	23	with	with	ADP
ajema-8275	12	24	the	the	DET
ajema-8275	12	25	potential	potential	NOUN
ajema-8275	12	26	to	to	PART
ajema-8275	12	27	support	support	VERB
ajema-8275	12	28	various	various	ADJ
ajema-8275	12	29	bioinformatics	bioinformatics	NOUN
ajema-8275	12	30	applications	application	NOUN
ajema-8275	12	31	,	,	PUNCT
ajema-8275	12	32	such	such	ADJ
ajema-8275	12	33	as	as	ADP
ajema-8275	12	34	gene	gene	NOUN
ajema-8275	12	35	prediction	prediction	NOUN
ajema-8275	12	36	,	,	PUNCT
ajema-8275	12	37	phylogenetic	phylogenetic	ADJ
ajema-8275	12	38	analysis	analysis	NOUN
ajema-8275	12	39	,	,	PUNCT
ajema-8275	12	40	and	and	CCONJ
ajema-8275	12	41	functional	functional	ADJ
ajema-8275	12	42	genomics	genomic	NOUN
ajema-8275	12	43	.	.	PUNCT
ajema-8275	13	1	keywords	keyword	NOUN
ajema-8275	13	2	:	:	PUNCT
ajema-8275	13	3	multiple	multiple	ADJ
ajema-8275	13	4	sequence	sequence	NOUN
ajema-8275	13	5	alignment	alignment	NOUN
ajema-8275	13	6	(	(	PUNCT
ajema-8275	13	7	msa	msa	PROPN
ajema-8275	13	8	)	)	PUNCT
ajema-8275	13	9	,	,	PUNCT
ajema-8275	13	10	grey	grey	ADJ
ajema-8275	13	11	wolf	wolf	PROPN
ajema-8275	13	12	optimization	optimization	NOUN
ajema-8275	13	13	(	(	PUNCT
ajema-8275	13	14	gwo	gwo	PROPN
ajema-8275	13	15	)	)	PUNCT
ajema-8275	13	16	,	,	PUNCT
ajema-8275	13	17	bioinformatics	bioinformatics	NOUN
ajema-8275	13	18	,	,	PUNCT
ajema-8275	13	19	sequence	sequence	NOUN
ajema-8275	13	20	alignment	alignment	NOUN
ajema-8275	13	21	,	,	PUNCT
ajema-8275	13	22	nature	nature	NOUN
ajema-8275	13	23	-	-	PUNCT
ajema-8275	13	24	inspired	inspire	VERB
ajema-8275	13	25	algorithms	algorithm	NOUN
ajema-8275	13	26	,	,	PUNCT
ajema-8275	13	27	optimization	optimization	NOUN
ajema-8275	13	28	,	,	PUNCT
ajema-8275	13	29	algorithm	algorithm	NOUN
ajema-8275	13	30	enhancement	enhancement	NOUN
ajema-8275	13	31	,	,	PUNCT
ajema-8275	13	32	fitness	fitness	NOUN
ajema-8275	13	33	function	function	NOUN
ajema-8275	13	34	.	.	PUNCT
ajema-8275	14	1	1	1	X
ajema-8275	14	2	.	.	X
ajema-8275	14	3	introduction	introduction	NOUN
ajema-8275	14	4	background	background	NOUN
ajema-8275	14	5	on	on	ADP
ajema-8275	14	6	msa	msa	PROPN
ajema-8275	14	7	:	:	PUNCT
ajema-8275	14	8	multiple	multiple	ADJ
ajema-8275	14	9	sequence	sequence	NOUN
ajema-8275	14	10	alignment	alignment	NOUN
ajema-8275	14	11	(	(	PUNCT
ajema-8275	14	12	msa	msa	PROPN
ajema-8275	14	13	)	)	PUNCT
ajema-8275	14	14	is	be	AUX
ajema-8275	14	15	a	a	DET
ajema-8275	14	16	fundamental	fundamental	ADJ
ajema-8275	14	17	task	task	NOUN
ajema-8275	14	18	in	in	ADP
ajema-8275	14	19	bioinformatics	bioinformatics	NOUN
ajema-8275	14	20	,	,	PUNCT
ajema-8275	14	21	where	where	SCONJ
ajema-8275	14	22	several	several	ADJ
ajema-8275	14	23	biological	biological	ADJ
ajema-8275	14	24	sequences	sequence	NOUN
ajema-8275	14	25	(	(	PUNCT
ajema-8275	14	26	such	such	ADJ
ajema-8275	14	27	as	as	ADP
ajema-8275	14	28	dna	dna	PROPN
ajema-8275	14	29	,	,	PUNCT
ajema-8275	14	30	rna	rna	NOUN
ajema-8275	14	31	,	,	PUNCT
ajema-8275	14	32	or	or	CCONJ
ajema-8275	14	33	protein	protein	NOUN
ajema-8275	14	34	sequences	sequence	NOUN
ajema-8275	14	35	)	)	PUNCT
ajema-8275	14	36	are	be	AUX
ajema-8275	14	37	aligned	align	VERB
ajema-8275	14	38	to	to	PART
ajema-8275	14	39	identify	identify	VERB
ajema-8275	14	40	conserved	conserved	ADJ
ajema-8275	14	41	regions	region	NOUN
ajema-8275	14	42	,	,	PUNCT
ajema-8275	14	43	evolutionary	evolutionary	ADJ
ajema-8275	14	44	relationships	relationship	NOUN
ajema-8275	14	45	,	,	PUNCT
ajema-8275	14	46	and	and	CCONJ
ajema-8275	14	47	functional	functional	ADJ
ajema-8275	14	48	similarities	similarity	NOUN
ajema-8275	14	49	.	.	PUNCT
ajema-8275	15	1	msa	msa	PROPN
ajema-8275	15	2	plays	play	VERB
ajema-8275	15	3	a	a	DET
ajema-8275	15	4	pivotal	pivotal	ADJ
ajema-8275	15	5	role	role	NOUN
ajema-8275	15	6	in	in	ADP
ajema-8275	15	7	various	various	ADJ
ajema-8275	15	8	applications	application	NOUN
ajema-8275	15	9	like	like	ADP
ajema-8275	15	10	gene	gene	NOUN
ajema-8275	15	11	annotation	annotation	NOUN
ajema-8275	15	12	,	,	PUNCT
ajema-8275	15	13	phylogenetic	phylogenetic	ADJ
ajema-8275	15	14	analysis	analysis	NOUN
ajema-8275	15	15	,	,	PUNCT
ajema-8275	15	16	and	and	CCONJ
ajema-8275	15	17	40	40	NUM
ajema-8275	15	18	journal	journal	NOUN
ajema-8275	15	19	of	of	ADP
ajema-8275	15	20	engineering	engineering	NOUN
ajema-8275	15	21	,	,	PUNCT
ajema-8275	15	22	mechanics	mechanic	NOUN
ajema-8275	15	23	and	and	CCONJ
ajema-8275	15	24	architecture	architecture	NOUN
ajema-8275	15	25	www	www	NOUN
ajema-8275	15	26	.	.	PUNCT
ajema-8275	16	1	grnjournal.us	grnjournal.us	X
ajema-8275	16	2	structural	structural	ADJ
ajema-8275	16	3	prediction	prediction	NOUN
ajema-8275	16	4	.	.	PUNCT
ajema-8275	17	1	however	however	ADV
ajema-8275	17	2	,	,	PUNCT
ajema-8275	17	3	performing	perform	VERB
ajema-8275	17	4	msa	msa	PROPN
ajema-8275	17	5	accurately	accurately	ADV
ajema-8275	17	6	is	be	AUX
ajema-8275	17	7	a	a	DET
ajema-8275	17	8	challenging	challenging	ADJ
ajema-8275	17	9	task	task	NOUN
ajema-8275	17	10	due	due	ADP
ajema-8275	17	11	to	to	ADP
ajema-8275	17	12	the	the	DET
ajema-8275	17	13	computational	computational	ADJ
ajema-8275	17	14	complexity	complexity	NOUN
ajema-8275	17	15	involved	involve	VERB
ajema-8275	17	16	in	in	ADP
ajema-8275	17	17	aligning	align	VERB
ajema-8275	17	18	large	large	ADJ
ajema-8275	17	19	datasets	dataset	NOUN
ajema-8275	17	20	,	,	PUNCT
ajema-8275	17	21	handling	handle	VERB
ajema-8275	17	22	sequence	sequence	NOUN
ajema-8275	17	23	gaps	gap	NOUN
ajema-8275	17	24	,	,	PUNCT
ajema-8275	17	25	and	and	CCONJ
ajema-8275	17	26	dealing	deal	VERB
ajema-8275	17	27	with	with	ADP
ajema-8275	17	28	varying	vary	VERB
ajema-8275	17	29	sequence	sequence	NOUN
ajema-8275	17	30	lengths	length	NOUN
ajema-8275	17	31	.	.	PUNCT
ajema-8275	18	1	traditional	traditional	ADJ
ajema-8275	18	2	technique	technique	NOUN
ajema-8275	18	3	,	,	PUNCT
ajema-8275	18	4	such	such	ADJ
ajema-8275	18	5	as	as	ADP
ajema-8275	18	6	dynamic	dynamic	ADJ
ajema-8275	18	7	programming	programming	NOUN
ajema-8275	18	8	or	or	CCONJ
ajema-8275	18	9	progressive	progressive	ADJ
ajema-8275	18	10	alignment	alignment	NOUN
ajema-8275	18	11	,	,	PUNCT
ajema-8275	18	12	frequently	frequently	ADV
ajema-8275	18	13	struggle	struggle	VERB
ajema-8275	18	14	with	with	ADP
ajema-8275	18	15	greater	great	ADJ
ajema-8275	18	16	computational	computational	ADJ
ajema-8275	18	17	costs	cost	NOUN
ajema-8275	18	18	when	when	SCONJ
ajema-8275	18	19	dealing	deal	VERB
ajema-8275	18	20	with	with	ADP
ajema-8275	18	21	a	a	DET
ajema-8275	18	22	immense	immense	ADJ
ajema-8275	18	23	number	number	NOUN
ajema-8275	18	24	of	of	ADP
ajema-8275	18	25	sequences	sequence	NOUN
ajema-8275	18	26	or	or	CCONJ
ajema-8275	18	27	long	long	ADJ
ajema-8275	18	28	sequences	sequence	NOUN
ajema-8275	18	29	,	,	PUNCT
ajema-8275	18	30	leading	lead	VERB
ajema-8275	18	31	to	to	ADP
ajema-8275	18	32	accuracy	accuracy	NOUN
ajema-8275	18	33	and	and	CCONJ
ajema-8275	18	34	efficiency	efficiency	NOUN
ajema-8275	18	35	trade	trade	NOUN
ajema-8275	18	36	-	-	PUNCT
ajema-8275	18	37	offs	off	NOUN
ajema-8275	18	38	[	[	X
ajema-8275	18	39	1	1	NUM
ajema-8275	18	40	]	]	PUNCT
ajema-8275	18	41	.	.	PUNCT
ajema-8275	19	1	grey	grey	PROPN
ajema-8275	19	2	wolf	wolf	PROPN
ajema-8275	19	3	optimization	optimization	NOUN
ajema-8275	19	4	(	(	PUNCT
ajema-8275	19	5	gwo	gwo	PROPN
ajema-8275	19	6	):	):	PUNCT
ajema-8275	19	7	grey	grey	ADJ
ajema-8275	19	8	wolf	wolf	PROPN
ajema-8275	19	9	optimization	optimization	NOUN
ajema-8275	19	10	(	(	PUNCT
ajema-8275	19	11	gwo	gwo	PROPN
ajema-8275	19	12	)	)	PUNCT
ajema-8275	19	13	is	be	AUX
ajema-8275	19	14	a	a	DET
ajema-8275	19	15	nature	nature	NOUN
ajema-8275	19	16	-	-	PUNCT
ajema-8275	19	17	inspired	inspire	VERB
ajema-8275	19	18	optimization	optimization	NOUN
ajema-8275	19	19	algorithm	algorithm	NOUN
ajema-8275	19	20	based	base	VERB
ajema-8275	19	21	on	on	ADP
ajema-8275	19	22	the	the	DET
ajema-8275	19	23	hunting	hunting	NOUN
ajema-8275	19	24	strategy	strategy	NOUN
ajema-8275	19	25	and	and	CCONJ
ajema-8275	19	26	social	social	ADJ
ajema-8275	19	27	structure	structure	NOUN
ajema-8275	19	28	of	of	ADP
ajema-8275	19	29	grey	grey	ADJ
ajema-8275	19	30	wolves	wolf	NOUN
ajema-8275	19	31	in	in	ADP
ajema-8275	19	32	the	the	DET
ajema-8275	19	33	wild	wild	NOUN
ajema-8275	19	34	.	.	PUNCT
ajema-8275	20	1	the	the	DET
ajema-8275	20	2	algorithm	algorithm	NOUN
ajema-8275	20	3	mimics	mimic	VERB
ajema-8275	20	4	the	the	DET
ajema-8275	20	5	social	social	ADJ
ajema-8275	20	6	hierarchy	hierarchy	NOUN
ajema-8275	20	7	in	in	ADP
ajema-8275	20	8	wolf	wolf	PROPN
ajema-8275	20	9	packs	pack	NOUN
ajema-8275	20	10	,	,	PUNCT
ajema-8275	20	11	where	where	SCONJ
ajema-8275	20	12	the	the	DET
ajema-8275	20	13	alpha	alpha	NOUN
ajema-8275	20	14	wolf	wolf	PROPN
ajema-8275	20	15	leads	lead	VERB
ajema-8275	20	16	the	the	DET
ajema-8275	20	17	hunt	hunt	NOUN
ajema-8275	20	18	,	,	PUNCT
ajema-8275	20	19	the	the	DET
ajema-8275	20	20	beta	beta	ADJ
ajema-8275	20	21	wolf	wolf	NOUN
ajema-8275	20	22	supports	support	VERB
ajema-8275	20	23	,	,	PUNCT
ajema-8275	20	24	and	and	CCONJ
ajema-8275	20	25	the	the	DET
ajema-8275	20	26	delta	delta	NOUN
ajema-8275	20	27	wolves	wolf	NOUN
ajema-8275	20	28	assist	assist	VERB
ajema-8275	20	29	in	in	ADP
ajema-8275	20	30	capturing	capture	VERB
ajema-8275	20	31	prey	prey	NOUN
ajema-8275	20	32	.	.	PUNCT
ajema-8275	21	1	this	this	DET
ajema-8275	21	2	hierarchy	hierarchy	NOUN
ajema-8275	21	3	is	be	AUX
ajema-8275	21	4	used	use	VERB
ajema-8275	21	5	to	to	PART
ajema-8275	21	6	guide	guide	VERB
ajema-8275	21	7	the	the	DET
ajema-8275	21	8	search	search	NOUN
ajema-8275	21	9	for	for	ADP
ajema-8275	21	10	optimal	optimal	ADJ
ajema-8275	21	11	solutions	solution	NOUN
ajema-8275	21	12	.	.	PUNCT
ajema-8275	22	1	gwo	gwo	PROPN
ajema-8275	22	2	is	be	AUX
ajema-8275	22	3	known	know	VERB
ajema-8275	22	4	for	for	ADP
ajema-8275	22	5	its	its	PRON
ajema-8275	22	6	simplicity	simplicity	NOUN
ajema-8275	22	7	and	and	CCONJ
ajema-8275	22	8	strong	strong	ADJ
ajema-8275	22	9	exploration	exploration	NOUN
ajema-8275	22	10	capabilities	capability	NOUN
ajema-8275	22	11	,	,	PUNCT
ajema-8275	22	12	making	make	VERB
ajema-8275	22	13	it	it	PRON
ajema-8275	22	14	effective	effective	ADJ
ajema-8275	22	15	for	for	ADP
ajema-8275	22	16	solving	solve	VERB
ajema-8275	22	17	complex	complex	ADJ
ajema-8275	22	18	optimization	optimization	NOUN
ajema-8275	22	19	problems	problem	NOUN
ajema-8275	22	20	.	.	PUNCT
ajema-8275	23	1	it	it	PRON
ajema-8275	23	2	has	have	AUX
ajema-8275	23	3	been	be	AUX
ajema-8275	23	4	applied	apply	VERB
ajema-8275	23	5	to	to	ADP
ajema-8275	23	6	various	various	ADJ
ajema-8275	23	7	domains	domain	NOUN
ajema-8275	23	8	such	such	ADJ
ajema-8275	23	9	as	as	ADP
ajema-8275	23	10	function	function	NOUN
ajema-8275	23	11	optimization	optimization	NOUN
ajema-8275	23	12	,	,	PUNCT
ajema-8275	23	13	engineering	engineering	NOUN
ajema-8275	23	14	problems	problem	NOUN
ajema-8275	23	15	,	,	PUNCT
ajema-8275	23	16	and	and	CCONJ
ajema-8275	23	17	bioinformatics	bioinformatics	NOUN
ajema-8275	23	18	.	.	PUNCT
ajema-8275	24	1	in	in	ADP
ajema-8275	24	2	msa	msa	PROPN
ajema-8275	24	3	,	,	PUNCT
ajema-8275	24	4	gwo	gwo	PROPN
ajema-8275	24	5	has	have	AUX
ajema-8275	24	6	shown	show	VERB
ajema-8275	24	7	promise	promise	NOUN
ajema-8275	24	8	in	in	ADP
ajema-8275	24	9	searching	search	VERB
ajema-8275	24	10	for	for	ADP
ajema-8275	24	11	optimal	optimal	ADJ
ajema-8275	24	12	alignments	alignment	NOUN
ajema-8275	24	13	by	by	ADP
ajema-8275	24	14	efficiently	efficiently	ADV
ajema-8275	24	15	navigating	navigate	VERB
ajema-8275	24	16	the	the	DET
ajema-8275	24	17	solution	solution	NOUN
ajema-8275	24	18	space	space	NOUN
ajema-8275	24	19	.	.	PUNCT
ajema-8275	25	1	problem	problem	NOUN
ajema-8275	25	2	statement	statement	NOUN
ajema-8275	25	3	:	:	PUNCT
ajema-8275	25	4	despite	despite	SCONJ
ajema-8275	25	5	its	its	PRON
ajema-8275	25	6	potential	potential	NOUN
ajema-8275	25	7	,	,	PUNCT
ajema-8275	25	8	the	the	DET
ajema-8275	25	9	standard	standard	ADJ
ajema-8275	25	10	gwo	gwo	PROPN
ajema-8275	25	11	algorithm	algorithm	NOUN
ajema-8275	25	12	faces	face	VERB
ajema-8275	25	13	challenges	challenge	NOUN
ajema-8275	25	14	in	in	ADP
ajema-8275	25	15	the	the	DET
ajema-8275	25	16	msa	msa	PROPN
ajema-8275	25	17	domain	domain	NOUN
ajema-8275	25	18	,	,	PUNCT
ajema-8275	25	19	primarily	primarily	ADV
ajema-8275	25	20	due	due	ADP
ajema-8275	25	21	to	to	ADP
ajema-8275	25	22	its	its	PRON
ajema-8275	25	23	balance	balance	NOUN
ajema-8275	25	24	between	between	ADP
ajema-8275	25	25	exploration	exploration	NOUN
ajema-8275	25	26	and	and	CCONJ
ajema-8275	25	27	exploitation	exploitation	NOUN
ajema-8275	25	28	.	.	PUNCT
ajema-8275	26	1	while	while	SCONJ
ajema-8275	26	2	gwo	gwo	PROPN
ajema-8275	26	3	excels	excel	VERB
ajema-8275	26	4	at	at	ADP
ajema-8275	26	5	exploring	explore	VERB
ajema-8275	26	6	the	the	DET
ajema-8275	26	7	search	search	NOUN
ajema-8275	26	8	space	space	NOUN
ajema-8275	26	9	,	,	PUNCT
ajema-8275	26	10	it	it	PRON
ajema-8275	26	11	may	may	AUX
ajema-8275	26	12	struggle	struggle	VERB
ajema-8275	26	13	with	with	ADP
ajema-8275	26	14	fine	fine	ADV
ajema-8275	26	15	-	-	PUNCT
ajema-8275	26	16	tuning	tune	VERB
ajema-8275	26	17	the	the	DET
ajema-8275	26	18	solution	solution	NOUN
ajema-8275	26	19	or	or	CCONJ
ajema-8275	26	20	converging	converge	VERB
ajema-8275	26	21	to	to	ADP
ajema-8275	26	22	the	the	DET
ajema-8275	26	23	global	global	ADJ
ajema-8275	26	24	optimum	optimum	NOUN
ajema-8275	26	25	,	,	PUNCT
ajema-8275	26	26	especially	especially	ADV
ajema-8275	26	27	when	when	SCONJ
ajema-8275	26	28	applied	apply	VERB
ajema-8275	26	29	to	to	ADP
ajema-8275	26	30	large	large	ADJ
ajema-8275	26	31	-	-	PUNCT
ajema-8275	26	32	scale	scale	NOUN
ajema-8275	26	33	sequence	sequence	NOUN
ajema-8275	26	34	alignment	alignment	NOUN
ajema-8275	26	35	problems	problem	NOUN
ajema-8275	26	36	.	.	PUNCT
ajema-8275	27	1	the	the	DET
ajema-8275	27	2	basic	basic	ADJ
ajema-8275	27	3	operators	operator	NOUN
ajema-8275	27	4	in	in	ADP
ajema-8275	27	5	gwo	gwo	PROPN
ajema-8275	27	6	may	may	AUX
ajema-8275	27	7	not	not	PART
ajema-8275	27	8	be	be	AUX
ajema-8275	27	9	well	well	ADV
ajema-8275	27	10	-	-	PUNCT
ajema-8275	27	11	suited	suit	VERB
ajema-8275	27	12	for	for	ADP
ajema-8275	27	13	the	the	DET
ajema-8275	27	14	specific	specific	ADJ
ajema-8275	27	15	needs	need	NOUN
ajema-8275	27	16	of	of	ADP
ajema-8275	27	17	msa	msa	PROPN
ajema-8275	27	18	,	,	PUNCT
ajema-8275	27	19	where	where	SCONJ
ajema-8275	27	20	little	little	ADJ
ajema-8275	27	21	alteration	alteration	NOUN
ajema-8275	27	22	or	or	CCONJ
ajema-8275	27	23	readjustment	readjustment	NOUN
ajema-8275	27	24	can	can	AUX
ajema-8275	27	25	significantly	significantly	ADV
ajema-8275	27	26	impact	impact	VERB
ajema-8275	27	27	the	the	DET
ajema-8275	27	28	alignment	alignment	NOUN
ajema-8275	27	29	’s	’s	PART
ajema-8275	27	30	accuracy	accuracy	NOUN
ajema-8275	27	31	.	.	PUNCT
ajema-8275	28	1	this	this	PRON
ajema-8275	28	2	leads	lead	VERB
ajema-8275	28	3	a	a	DET
ajema-8275	28	4	need	need	NOUN
ajema-8275	28	5	for	for	ADP
ajema-8275	28	6	improving	improve	VERB
ajema-8275	28	7	the	the	DET
ajema-8275	28	8	gwo	gwo	PROPN
ajema-8275	28	9	operators	operator	NOUN
ajema-8275	28	10	to	to	PART
ajema-8275	28	11	enhance	enhance	VERB
ajema-8275	28	12	its	its	PRON
ajema-8275	28	13	performance	performance	NOUN
ajema-8275	28	14	for	for	ADP
ajema-8275	28	15	the	the	DET
ajema-8275	28	16	msa	msa	PROPN
ajema-8275	28	17	problem	problem	NOUN
ajema-8275	28	18	.	.	PUNCT
ajema-8275	29	1	2	2	X
ajema-8275	29	2	.	.	X
ajema-8275	29	3	background	background	NOUN
ajema-8275	29	4	and	and	CCONJ
ajema-8275	29	5	related	relate	VERB
ajema-8275	29	6	work	work	NOUN
ajema-8275	29	7	multiple	multiple	ADJ
ajema-8275	29	8	sequence	sequence	NOUN
ajema-8275	29	9	alignment	alignment	NOUN
ajema-8275	29	10	(	(	PUNCT
ajema-8275	29	11	msa	msa	PROPN
ajema-8275	29	12	)	)	PUNCT
ajema-8275	29	13	plays	play	VERB
ajema-8275	29	14	a	a	DET
ajema-8275	29	15	critical	critical	ADJ
ajema-8275	29	16	role	role	NOUN
ajema-8275	29	17	in	in	ADP
ajema-8275	29	18	comparative	comparative	ADJ
ajema-8275	29	19	genomics	genomic	NOUN
ajema-8275	29	20	,	,	PUNCT
ajema-8275	29	21	evolutionary	evolutionary	ADJ
ajema-8275	29	22	biology	biology	NOUN
ajema-8275	29	23	,	,	PUNCT
ajema-8275	29	24	and	and	CCONJ
ajema-8275	29	25	protein	protein	NOUN
ajema-8275	29	26	structure	structure	NOUN
ajema-8275	29	27	prediction	prediction	NOUN
ajema-8275	29	28	.	.	PUNCT
ajema-8275	30	1	the	the	DET
ajema-8275	30	2	primary	primary	ADJ
ajema-8275	30	3	goal	goal	NOUN
ajema-8275	30	4	is	be	AUX
ajema-8275	30	5	to	to	PART
ajema-8275	30	6	align	align	VERB
ajema-8275	30	7	a	a	DET
ajema-8275	30	8	set	set	NOUN
ajema-8275	30	9	of	of	ADP
ajema-8275	30	10	biological	biological	ADJ
ajema-8275	30	11	sequences	sequence	NOUN
ajema-8275	30	12	—	—	PUNCT
ajema-8275	30	13	such	such	ADJ
ajema-8275	30	14	as	as	ADP
ajema-8275	30	15	dna	dna	PROPN
ajema-8275	30	16	,	,	PUNCT
ajema-8275	30	17	rna	rna	NOUN
ajema-8275	30	18	,	,	PUNCT
ajema-8275	30	19	or	or	CCONJ
ajema-8275	30	20	proteins	protein	NOUN
ajema-8275	30	21	—	—	PUNCT
ajema-8275	30	22	by	by	ADP
ajema-8275	30	23	inserting	insert	VERB
ajema-8275	30	24	gaps	gap	NOUN
ajema-8275	30	25	in	in	ADP
ajema-8275	30	26	a	a	DET
ajema-8275	30	27	manner	manner	NOUN
ajema-8275	30	28	that	that	PRON
ajema-8275	30	29	reveals	reveal	VERB
ajema-8275	30	30	conserved	conserved	ADJ
ajema-8275	30	31	regions	region	NOUN
ajema-8275	30	32	and	and	CCONJ
ajema-8275	30	33	evolutionary	evolutionary	ADJ
ajema-8275	30	34	relationships	relationship	NOUN
ajema-8275	30	35	.	.	PUNCT
ajema-8275	31	1	over	over	ADP
ajema-8275	31	2	the	the	DET
ajema-8275	31	3	years	year	NOUN
ajema-8275	31	4	,	,	PUNCT
ajema-8275	31	5	several	several	ADJ
ajema-8275	31	6	traditional	traditional	ADJ
ajema-8275	31	7	approches	approche	NOUN
ajema-8275	31	8	have	have	AUX
ajema-8275	31	9	been	be	AUX
ajema-8275	31	10	developed	develop	VERB
ajema-8275	31	11	to	to	PART
ajema-8275	31	12	resolve	resolve	VERB
ajema-8275	31	13	this	this	DET
ajema-8275	31	14	issue	issue	NOUN
ajema-8275	31	15	,	,	PUNCT
ajema-8275	31	16	each	each	PRON
ajema-8275	31	17	with	with	ADP
ajema-8275	31	18	its	its	PRON
ajema-8275	31	19	strengths	strength	NOUN
ajema-8275	31	20	and	and	CCONJ
ajema-8275	31	21	limitations	limitation	NOUN
ajema-8275	31	22	.	.	PUNCT
ajema-8275	32	1	among	among	ADP
ajema-8275	32	2	classical	classical	ADJ
ajema-8275	32	3	approaches	approach	NOUN
ajema-8275	32	4	,	,	PUNCT
ajema-8275	32	5	progressive	progressive	ADJ
ajema-8275	32	6	alignment	alignment	NOUN
ajema-8275	32	7	methods	method	NOUN
ajema-8275	32	8	such	such	ADJ
ajema-8275	32	9	as	as	ADP
ajema-8275	32	10	clustalw	clustalw	NOUN
ajema-8275	32	11	and	and	CCONJ
ajema-8275	32	12	t	t	PROPN
ajema-8275	32	13	-	-	PUNCT
ajema-8275	32	14	coffee	coffee	NOUN
ajema-8275	32	15	align	align	NOUN
ajema-8275	32	16	sequences	sequence	NOUN
ajema-8275	32	17	by	by	ADP
ajema-8275	32	18	building	build	VERB
ajema-8275	32	19	a	a	DET
ajema-8275	32	20	guide	guide	NOUN
ajema-8275	32	21	tree	tree	NOUN
ajema-8275	32	22	and	and	CCONJ
ajema-8275	32	23	progressively	progressively	ADV
ajema-8275	32	24	adding	add	VERB
ajema-8275	32	25	sequences	sequence	NOUN
ajema-8275	32	26	based	base	VERB
ajema-8275	32	27	on	on	ADP
ajema-8275	32	28	similarity	similarity	NOUN
ajema-8275	32	29	.	.	PUNCT
ajema-8275	33	1	while	while	SCONJ
ajema-8275	33	2	computationally	computationally	ADV
ajema-8275	33	3	efficient	efficient	ADJ
ajema-8275	33	4	,	,	PUNCT
ajema-8275	33	5	they	they	PRON
ajema-8275	33	6	suffer	suffer	VERB
ajema-8275	33	7	from	from	ADP
ajema-8275	33	8	error	error	NOUN
ajema-8275	33	9	propagation	propagation	NOUN
ajema-8275	33	10	since	since	SCONJ
ajema-8275	33	11	early	early	ADJ
ajema-8275	33	12	alignment	alignment	NOUN
ajema-8275	33	13	decisions	decision	NOUN
ajema-8275	33	14	are	be	AUX
ajema-8275	33	15	fixed	fix	VERB
ajema-8275	33	16	and	and	CCONJ
ajema-8275	33	17	not	not	PART
ajema-8275	33	18	revised	revise	VERB
ajema-8275	33	19	later	later	ADV
ajema-8275	33	20	.	.	PUNCT
ajema-8275	34	1	iterative	iterative	NOUN
ajema-8275	34	2	methods	method	NOUN
ajema-8275	34	3	,	,	PUNCT
ajema-8275	34	4	such	such	ADJ
ajema-8275	34	5	as	as	ADP
ajema-8275	34	6	mafft	mafft	PROPN
ajema-8275	34	7	and	and	CCONJ
ajema-8275	34	8	muscle	muscle	NOUN
ajema-8275	34	9	,	,	PUNCT
ajema-8275	34	10	attempt	attempt	VERB
ajema-8275	34	11	to	to	PART
ajema-8275	34	12	improve	improve	VERB
ajema-8275	34	13	accuracy	accuracy	NOUN
ajema-8275	34	14	by	by	ADP
ajema-8275	34	15	repeatedly	repeatedly	ADV
ajema-8275	34	16	refining	refine	VERB
ajema-8275	34	17	the	the	DET
ajema-8275	34	18	alignment	alignment	NOUN
ajema-8275	34	19	,	,	PUNCT
ajema-8275	34	20	but	but	CCONJ
ajema-8275	34	21	they	they	PRON
ajema-8275	34	22	often	often	ADV
ajema-8275	34	23	need	need	VERB
ajema-8275	34	24	significant	significant	ADJ
ajema-8275	34	25	computational	computational	ADJ
ajema-8275	34	26	time	time	NOUN
ajema-8275	34	27	.	.	PUNCT
ajema-8275	35	1	consistency	consistency	NOUN
ajema-8275	35	2	-	-	PUNCT
ajema-8275	35	3	based	base	VERB
ajema-8275	35	4	methods	method	NOUN
ajema-8275	35	5	,	,	PUNCT
ajema-8275	35	6	like	like	ADP
ajema-8275	35	7	probcons	probcon	NOUN
ajema-8275	35	8	,	,	PUNCT
ajema-8275	35	9	further	far	ADV
ajema-8275	35	10	enhance	enhance	VERB
ajema-8275	35	11	accuracy	accuracy	NOUN
ajema-8275	35	12	by	by	ADP
ajema-8275	35	13	combining	combine	VERB
ajema-8275	35	14	pairwise	pairwise	NOUN
ajema-8275	35	15	alignments	alignment	NOUN
ajema-8275	35	16	into	into	ADP
ajema-8275	35	17	a	a	DET
ajema-8275	35	18	consistent	consistent	ADJ
ajema-8275	35	19	framework	framework	NOUN
ajema-8275	35	20	;	;	PUNCT
ajema-8275	35	21	however	however	ADV
ajema-8275	35	22	,	,	PUNCT
ajema-8275	35	23	they	they	PRON
ajema-8275	35	24	too	too	ADV
ajema-8275	35	25	become	become	VERB
ajema-8275	35	26	computationally	computationally	ADV
ajema-8275	35	27	intensive	intensive	ADJ
ajema-8275	35	28	with	with	ADP
ajema-8275	35	29	an	an	DET
ajema-8275	35	30	growing	grow	VERB
ajema-8275	35	31	number	number	NOUN
ajema-8275	35	32	of	of	ADP
ajema-8275	35	33	sequences	sequence	NOUN
ajema-8275	35	34	[	[	X
ajema-8275	35	35	2	2	NUM
ajema-8275	35	36	,	,	PUNCT
ajema-8275	35	37	9	9	NUM
ajema-8275	35	38	]	]	PUNCT
ajema-8275	35	39	.	.	PUNCT
ajema-8275	36	1	due	due	ADP
ajema-8275	36	2	to	to	ADP
ajema-8275	36	3	the	the	DET
ajema-8275	36	4	np	np	NOUN
ajema-8275	36	5	-	-	PUNCT
ajema-8275	36	6	hard	hard	ADJ
ajema-8275	36	7	nature	nature	NOUN
ajema-8275	36	8	of	of	ADP
ajema-8275	36	9	the	the	DET
ajema-8275	36	10	msa	msa	PROPN
ajema-8275	36	11	problem	problem	NOUN
ajema-8275	36	12	,	,	PUNCT
ajema-8275	36	13	researchers	researcher	NOUN
ajema-8275	36	14	have	have	AUX
ajema-8275	36	15	turned	turn	VERB
ajema-8275	36	16	to	to	ADP
ajema-8275	36	17	metaheuristic	metaheuristic	ADJ
ajema-8275	36	18	algorithms	algorithm	NOUN
ajema-8275	36	19	that	that	PRON
ajema-8275	36	20	can	can	AUX
ajema-8275	36	21	provide	provide	VERB
ajema-8275	36	22	near	near	ADP
ajema-8275	36	23	-	-	PUNCT
ajema-8275	36	24	optimal	optimal	ADJ
ajema-8275	36	25	solutions	solution	NOUN
ajema-8275	36	26	within	within	ADP
ajema-8275	36	27	reasonable	reasonable	ADJ
ajema-8275	36	28	computational	computational	ADJ
ajema-8275	36	29	effort	effort	NOUN
ajema-8275	36	30	.	.	PUNCT
ajema-8275	37	1	algorithms	algorithm	NOUN
ajema-8275	37	2	like	like	ADP
ajema-8275	37	3	genetic	genetic	ADJ
ajema-8275	37	4	algorithms	algorithm	NOUN
ajema-8275	37	5	(	(	PUNCT
ajema-8275	37	6	ga	ga	NOUN
ajema-8275	37	7	)	)	PUNCT
ajema-8275	37	8	,	,	PUNCT
ajema-8275	37	9	ant	ant	ADJ
ajema-8275	37	10	colony	colony	NOUN
ajema-8275	37	11	optimization	optimization	NOUN
ajema-8275	37	12	(	(	PUNCT
ajema-8275	37	13	aco	aco	PROPN
ajema-8275	37	14	)	)	PUNCT
ajema-8275	37	15	,	,	PUNCT
ajema-8275	37	16	and	and	CCONJ
ajema-8275	37	17	particle	particle	NOUN
ajema-8275	37	18	swarm	swarm	NOUN
ajema-8275	37	19	optimization	optimization	NOUN
ajema-8275	37	20	(	(	PUNCT
ajema-8275	37	21	pso	pso	NOUN
ajema-8275	37	22	)	)	PUNCT
ajema-8275	37	23	have	have	AUX
ajema-8275	37	24	been	be	AUX
ajema-8275	37	25	explored	explore	VERB
ajema-8275	37	26	extensively	extensively	ADV
ajema-8275	37	27	.	.	PUNCT
ajema-8275	38	1	these	these	DET
ajema-8275	38	2	approaches	approach	NOUN
ajema-8275	38	3	rely	rely	VERB
ajema-8275	38	4	on	on	ADP
ajema-8275	38	5	population	population	NOUN
ajema-8275	38	6	-	-	PUNCT
ajema-8275	38	7	based	base	VERB
ajema-8275	38	8	search	search	NOUN
ajema-8275	38	9	and	and	CCONJ
ajema-8275	38	10	stochastic	stochastic	ADJ
ajema-8275	38	11	operators	operator	NOUN
ajema-8275	38	12	to	to	PART
ajema-8275	38	13	explore	explore	VERB
ajema-8275	38	14	the	the	DET
ajema-8275	38	15	solution	solution	NOUN
ajema-8275	38	16	space	space	NOUN
ajema-8275	38	17	.	.	PUNCT
ajema-8275	39	1	while	while	SCONJ
ajema-8275	39	2	they	they	PRON
ajema-8275	39	3	are	be	AUX
ajema-8275	39	4	effective	effective	ADJ
ajema-8275	39	5	in	in	ADP
ajema-8275	39	6	escaping	escape	VERB
ajema-8275	39	7	local	local	ADJ
ajema-8275	39	8	optima	optima	NOUN
ajema-8275	39	9	,	,	PUNCT
ajema-8275	39	10	they	they	PRON
ajema-8275	39	11	often	often	ADV
ajema-8275	39	12	need	need	VERB
ajema-8275	39	13	careful	careful	ADJ
ajema-8275	39	14	tuning	tuning	NOUN
ajema-8275	39	15	of	of	ADP
ajema-8275	39	16	parameters	parameter	NOUN
ajema-8275	39	17	and	and	CCONJ
ajema-8275	39	18	may	may	AUX
ajema-8275	39	19	converge	converge	VERB
ajema-8275	39	20	prematurely	prematurely	ADV
ajema-8275	39	21	.	.	PUNCT
ajema-8275	40	1	the	the	DET
ajema-8275	40	2	grey	grey	ADJ
ajema-8275	40	3	wolf	wolf	PROPN
ajema-8275	40	4	optimizer	optimizer	NOUN
ajema-8275	40	5	(	(	PUNCT
ajema-8275	40	6	gwo	gwo	PROPN
ajema-8275	40	7	)	)	PUNCT
ajema-8275	40	8	has	have	AUX
ajema-8275	40	9	recently	recently	ADV
ajema-8275	40	10	emerged	emerge	VERB
ajema-8275	40	11	as	as	ADP
ajema-8275	40	12	a	a	DET
ajema-8275	40	13	promising	promising	ADJ
ajema-8275	40	14	alternative	alternative	NOUN
ajema-8275	40	15	due	due	ADP
ajema-8275	40	16	to	to	ADP
ajema-8275	40	17	its	its	PRON
ajema-8275	40	18	simple	simple	ADJ
ajema-8275	40	19	structure	structure	NOUN
ajema-8275	40	20	and	and	CCONJ
ajema-8275	40	21	strong	strong	ADJ
ajema-8275	40	22	exploration	exploration	NOUN
ajema-8275	40	23	-	-	PUNCT
ajema-8275	40	24	exploitation	exploitation	NOUN
ajema-8275	40	25	balance	balance	NOUN
ajema-8275	40	26	.	.	PUNCT
ajema-8275	41	1	influenced	influence	VERB
ajema-8275	41	2	by	by	ADP
ajema-8275	41	3	the	the	DET
ajema-8275	41	4	social	social	ADJ
ajema-8275	41	5	hierarchy	hierarchy	NOUN
ajema-8275	41	6	and	and	CCONJ
ajema-8275	41	7	hunting	hunt	VERB
ajema-8275	41	8	behavior	behavior	NOUN
ajema-8275	41	9	of	of	ADP
ajema-8275	41	10	grey	grey	ADJ
ajema-8275	41	11	wolves	wolf	NOUN
ajema-8275	41	12	in	in	ADP
ajema-8275	41	13	nature	nature	NOUN
ajema-8275	41	14	,	,	PUNCT
ajema-8275	41	15	gwo	gwo	PROPN
ajema-8275	41	16	classifies	classify	VERB
ajema-8275	41	17	the	the	DET
ajema-8275	41	18	population	population	NOUN
ajema-8275	41	19	into	into	ADP
ajema-8275	41	20	alpha	alpha	NOUN
ajema-8275	41	21	(	(	PUNCT
ajema-8275	41	22	α\alphaα	α\alphaα	NOUN
ajema-8275	41	23	)	)	PUNCT
ajema-8275	41	24	,	,	PUNCT
ajema-8275	41	25	beta	beta	NOUN
ajema-8275	41	26	(	(	PUNCT
ajema-8275	41	27	β\betaβ	β\betaβ	ADJ
ajema-8275	41	28	)	)	PUNCT
ajema-8275	41	29	,	,	PUNCT
ajema-8275	41	30	delta	delta	NOUN
ajema-8275	41	31	(	(	PUNCT
ajema-8275	41	32	δ\deltaδ	δ\deltaδ	ADJ
ajema-8275	41	33	)	)	PUNCT
ajema-8275	41	34	,	,	PUNCT
ajema-8275	41	35	and	and	CCONJ
ajema-8275	41	36	omega	omega	NOUN
ajema-8275	41	37	(	(	PUNCT
ajema-8275	41	38	ω\omegaω	ω\omegaω	ADJ
ajema-8275	41	39	)	)	PUNCT
ajema-8275	41	40	wolves	wolf	NOUN
ajema-8275	41	41	.	.	PUNCT
ajema-8275	42	1	the	the	DET
ajema-8275	42	2	encircling	encircling	NOUN
ajema-8275	42	3	,	,	PUNCT
ajema-8275	42	4	hunting	hunting	NOUN
ajema-8275	42	5	,	,	PUNCT
ajema-8275	42	6	and	and	CCONJ
ajema-8275	42	7	attacking	attack	VERB
ajema-8275	42	8	stages	stage	NOUN
ajema-8275	42	9	of	of	ADP
ajema-8275	42	10	wolves	wolf	NOUN
ajema-8275	42	11	are	be	AUX
ajema-8275	42	12	mathematically	mathematically	ADV
ajema-8275	42	13	modeled	model	VERB
ajema-8275	42	14	to	to	PART
ajema-8275	42	15	update	update	VERB
ajema-8275	42	16	candidate	candidate	NOUN
ajema-8275	42	17	solutions	solution	NOUN
ajema-8275	42	18	towards	towards	ADP
ajema-8275	42	19	the	the	DET
ajema-8275	42	20	global	global	ADJ
ajema-8275	42	21	optimum	optimum	NOUN
ajema-8275	42	22	.	.	PUNCT
ajema-8275	43	1	this	this	DET
ajema-8275	43	2	dynamic	dynamic	NOUN
ajema-8275	43	3	allows	allow	VERB
ajema-8275	43	4	gwo	gwo	PROPN
ajema-8275	43	5	to	to	PART
ajema-8275	43	6	search	search	VERB
ajema-8275	43	7	the	the	DET
ajema-8275	43	8	solution	solution	NOUN
ajema-8275	43	9	space	space	NOUN
ajema-8275	43	10	efficiently	efficiently	ADV
ajema-8275	43	11	without	without	ADP
ajema-8275	43	12	requiring	require	VERB
ajema-8275	43	13	gradient	gradient	ADJ
ajema-8275	43	14	information	information	NOUN
ajema-8275	43	15	or	or	CCONJ
ajema-8275	43	16	complex	complex	ADJ
ajema-8275	43	17	parameter	parameter	NOUN
ajema-8275	43	18	control	control	NOUN
ajema-8275	44	1	[	[	X
ajema-8275	44	2	3	3	NUM
ajema-8275	44	3	,	,	PUNCT
ajema-8275	44	4	4	4	NUM
ajema-8275	44	5	]	]	PUNCT
ajema-8275	44	6	.	.	PUNCT
ajema-8275	45	1	41	41	NUM
ajema-8275	45	2	journal	journal	NOUN
ajema-8275	45	3	of	of	ADP
ajema-8275	45	4	engineering	engineering	NOUN
ajema-8275	45	5	,	,	PUNCT
ajema-8275	45	6	mechanics	mechanic	NOUN
ajema-8275	45	7	and	and	CCONJ
ajema-8275	45	8	architecture	architecture	NOUN
ajema-8275	45	9	www	www	NOUN
ajema-8275	45	10	.	.	PUNCT
ajema-8275	46	1	grnjournal.us	grnjournal.us	X
ajema-8275	46	2	in	in	ADP
ajema-8275	46	3	the	the	DET
ajema-8275	46	4	context	context	NOUN
ajema-8275	46	5	of	of	ADP
ajema-8275	46	6	bioinformatics	bioinformatics	NOUN
ajema-8275	46	7	,	,	PUNCT
ajema-8275	46	8	several	several	ADJ
ajema-8275	46	9	studies	study	NOUN
ajema-8275	46	10	have	have	AUX
ajema-8275	46	11	applied	apply	VERB
ajema-8275	46	12	gwo	gwo	NOUN
ajema-8275	46	13	for	for	ADP
ajema-8275	46	14	sequence	sequence	NOUN
ajema-8275	46	15	alignment	alignment	NOUN
ajema-8275	46	16	tasks	task	NOUN
ajema-8275	46	17	,	,	PUNCT
ajema-8275	46	18	reporting	report	VERB
ajema-8275	46	19	competitive	competitive	ADJ
ajema-8275	46	20	performance	performance	NOUN
ajema-8275	46	21	compared	compare	VERB
ajema-8275	46	22	to	to	ADP
ajema-8275	46	23	traditional	traditional	ADJ
ajema-8275	46	24	algorithms	algorithm	NOUN
ajema-8275	46	25	.	.	PUNCT
ajema-8275	47	1	for	for	ADP
ajema-8275	47	2	example	example	NOUN
ajema-8275	47	3	,	,	PUNCT
ajema-8275	47	4	hybrid	hybrid	ADJ
ajema-8275	47	5	methods	method	NOUN
ajema-8275	47	6	which	which	PRON
ajema-8275	47	7	combine	combine	VERB
ajema-8275	47	8	gwo	gwo	PROPN
ajema-8275	47	9	with	with	ADP
ajema-8275	47	10	local	local	ADJ
ajema-8275	47	11	search	search	NOUN
ajema-8275	47	12	or	or	CCONJ
ajema-8275	47	13	mutation	mutation	NOUN
ajema-8275	47	14	operators	operator	NOUN
ajema-8275	47	15	have	have	AUX
ajema-8275	47	16	shown	show	VERB
ajema-8275	47	17	improved	improved	ADJ
ajema-8275	47	18	alignment	alignment	NOUN
ajema-8275	47	19	quality	quality	NOUN
ajema-8275	47	20	,	,	PUNCT
ajema-8275	47	21	particularly	particularly	ADV
ajema-8275	47	22	in	in	ADP
ajema-8275	47	23	large	large	ADJ
ajema-8275	47	24	and	and	CCONJ
ajema-8275	47	25	noisy	noisy	ADJ
ajema-8275	47	26	datasets	dataset	NOUN
ajema-8275	47	27	.	.	PUNCT
ajema-8275	48	1	however	however	ADV
ajema-8275	48	2	,	,	PUNCT
ajema-8275	48	3	one	one	NUM
ajema-8275	48	4	of	of	ADP
ajema-8275	48	5	the	the	DET
ajema-8275	48	6	major	major	ADJ
ajema-8275	48	7	challenges	challenge	NOUN
ajema-8275	48	8	still	still	ADV
ajema-8275	48	9	faced	face	VERB
ajema-8275	48	10	by	by	ADP
ajema-8275	48	11	gwo	gwo	PROPN
ajema-8275	48	12	in	in	ADP
ajema-8275	48	13	msa	msa	PROPN
ajema-8275	48	14	is	be	AUX
ajema-8275	48	15	the	the	DET
ajema-8275	48	16	design	design	NOUN
ajema-8275	48	17	of	of	ADP
ajema-8275	48	18	suitable	suitable	ADJ
ajema-8275	48	19	operators	operator	NOUN
ajema-8275	48	20	that	that	PRON
ajema-8275	48	21	can	can	AUX
ajema-8275	48	22	handle	handle	VERB
ajema-8275	48	23	the	the	DET
ajema-8275	48	24	discrete	discrete	ADJ
ajema-8275	48	25	and	and	CCONJ
ajema-8275	48	26	symbolic	symbolic	ADJ
ajema-8275	48	27	nature	nature	NOUN
ajema-8275	48	28	of	of	ADP
ajema-8275	48	29	sequence	sequence	NOUN
ajema-8275	48	30	data	datum	NOUN
ajema-8275	48	31	.	.	PUNCT
ajema-8275	49	1	the	the	DET
ajema-8275	49	2	standard	standard	PROPN
ajema-8275	49	3	gwo	gwo	PROPN
ajema-8275	49	4	is	be	AUX
ajema-8275	49	5	primarily	primarily	ADV
ajema-8275	49	6	designed	design	VERB
ajema-8275	49	7	for	for	ADP
ajema-8275	49	8	continuous	continuous	ADJ
ajema-8275	49	9	optimization	optimization	NOUN
ajema-8275	49	10	problems	problem	NOUN
ajema-8275	49	11	[	[	X
ajema-8275	49	12	5	5	NUM
ajema-8275	49	13	,	,	PUNCT
ajema-8275	49	14	6	6	NUM
ajema-8275	49	15	]	]	PUNCT
ajema-8275	49	16	.	.	PUNCT
ajema-8275	50	1	when	when	SCONJ
ajema-8275	50	2	applied	apply	VERB
ajema-8275	50	3	to	to	ADP
ajema-8275	50	4	symbolic	symbolic	ADJ
ajema-8275	50	5	alignment	alignment	NOUN
ajema-8275	50	6	problems	problem	NOUN
ajema-8275	50	7	,	,	PUNCT
ajema-8275	50	8	it	it	PRON
ajema-8275	50	9	often	often	ADV
ajema-8275	50	10	relies	rely	VERB
ajema-8275	50	11	on	on	ADP
ajema-8275	50	12	workaround	workaround	ADJ
ajema-8275	50	13	encodings	encoding	NOUN
ajema-8275	50	14	and	and	CCONJ
ajema-8275	50	15	lacks	lack	VERB
ajema-8275	50	16	operators	operator	NOUN
ajema-8275	50	17	that	that	PRON
ajema-8275	50	18	are	be	AUX
ajema-8275	50	19	fully	fully	ADV
ajema-8275	50	20	adapted	adapt	VERB
ajema-8275	50	21	to	to	ADP
ajema-8275	50	22	biological	biological	ADJ
ajema-8275	50	23	constraints	constraint	NOUN
ajema-8275	50	24	.	.	PUNCT
ajema-8275	51	1	this	this	DET
ajema-8275	51	2	limitation	limitation	NOUN
ajema-8275	51	3	leads	lead	VERB
ajema-8275	51	4	to	to	ADP
ajema-8275	51	5	reduced	reduced	ADJ
ajema-8275	51	6	solution	solution	NOUN
ajema-8275	51	7	diversity	diversity	NOUN
ajema-8275	51	8	and	and	CCONJ
ajema-8275	51	9	slower	slow	ADJ
ajema-8275	51	10	convergence	convergence	NOUN
ajema-8275	51	11	.	.	PUNCT
ajema-8275	52	1	hence	hence	ADV
ajema-8275	52	2	,	,	PUNCT
ajema-8275	52	3	improving	improve	VERB
ajema-8275	52	4	the	the	DET
ajema-8275	52	5	operator	operator	NOUN
ajema-8275	52	6	design	design	NOUN
ajema-8275	52	7	—	—	PUNCT
ajema-8275	52	8	particularly	particularly	ADV
ajema-8275	52	9	those	those	PRON
ajema-8275	52	10	responsible	responsible	ADJ
ajema-8275	52	11	for	for	ADP
ajema-8275	52	12	position	position	NOUN
ajema-8275	52	13	updates	update	NOUN
ajema-8275	52	14	,	,	PUNCT
ajema-8275	52	15	gap	gap	NOUN
ajema-8275	52	16	management	management	NOUN
ajema-8275	52	17	,	,	PUNCT
ajema-8275	52	18	and	and	CCONJ
ajema-8275	52	19	encoding	encode	VERB
ajema-8275	52	20	interpretation	interpretation	NOUN
ajema-8275	52	21	—	—	PUNCT
ajema-8275	52	22	has	have	AUX
ajema-8275	52	23	become	become	VERB
ajema-8275	52	24	essential	essential	ADJ
ajema-8275	52	25	.	.	PUNCT
ajema-8275	53	1	enhanced	enhance	VERB
ajema-8275	53	2	operators	operator	NOUN
ajema-8275	53	3	can	can	AUX
ajema-8275	53	4	introduce	introduce	VERB
ajema-8275	53	5	greater	great	ADJ
ajema-8275	53	6	adaptability	adaptability	NOUN
ajema-8275	53	7	,	,	PUNCT
ajema-8275	53	8	biological	biological	ADJ
ajema-8275	53	9	awareness	awareness	NOUN
ajema-8275	53	10	,	,	PUNCT
ajema-8275	53	11	and	and	CCONJ
ajema-8275	53	12	robustness	robustness	NOUN
ajema-8275	53	13	,	,	PUNCT
ajema-8275	53	14	ultimately	ultimately	ADV
ajema-8275	53	15	leading	lead	VERB
ajema-8275	53	16	to	to	ADP
ajema-8275	53	17	more	more	ADV
ajema-8275	53	18	accurate	accurate	ADJ
ajema-8275	53	19	and	and	CCONJ
ajema-8275	53	20	meaningful	meaningful	ADJ
ajema-8275	53	21	alignments	alignment	NOUN
ajema-8275	53	22	[	[	X
ajema-8275	53	23	7	7	NUM
ajema-8275	53	24	]	]	PUNCT
ajema-8275	53	25	.	.	PUNCT
ajema-8275	54	1	3	3	X
ajema-8275	54	2	.	.	NUM
ajema-8275	54	3	proposed	propose	VERB
ajema-8275	54	4	operator	operator	NOUN
ajema-8275	54	5	improvement	improvement	NOUN
ajema-8275	54	6	in	in	ADP
ajema-8275	54	7	grey	grey	ADJ
ajema-8275	54	8	wolf	wolf	PROPN
ajema-8275	54	9	optimization	optimization	NOUN
ajema-8275	54	10	(	(	PUNCT
ajema-8275	54	11	gwo	gwo	PROPN
ajema-8275	54	12	)	)	PUNCT
ajema-8275	54	13	to	to	PART
ajema-8275	54	14	boost	boost	VERB
ajema-8275	54	15	the	the	DET
ajema-8275	54	16	outcomes	outcome	NOUN
ajema-8275	54	17	of	of	ADP
ajema-8275	54	18	grey	grey	PROPN
ajema-8275	54	19	wolf	wolf	PROPN
ajema-8275	54	20	optimization	optimization	NOUN
ajema-8275	54	21	(	(	PUNCT
ajema-8275	54	22	gwo	gwo	PROPN
ajema-8275	54	23	)	)	PUNCT
ajema-8275	54	24	in	in	ADP
ajema-8275	54	25	solving	solve	VERB
ajema-8275	54	26	multiple	multiple	ADJ
ajema-8275	54	27	sequence	sequence	NOUN
ajema-8275	54	28	alignment	alignment	NOUN
ajema-8275	54	29	(	(	PUNCT
ajema-8275	54	30	msa	msa	PROPN
ajema-8275	54	31	)	)	PUNCT
ajema-8275	54	32	problems	problem	NOUN
ajema-8275	54	33	,	,	PUNCT
ajema-8275	54	34	we	we	PRON
ajema-8275	54	35	propose	propose	VERB
ajema-8275	54	36	a	a	DET
ajema-8275	54	37	novel	novel	ADJ
ajema-8275	54	38	operator	operator	NOUN
ajema-8275	54	39	called	call	VERB
ajema-8275	54	40	hybrid	hybrid	NOUN
ajema-8275	54	41	differential	differential	NOUN
ajema-8275	54	42	crossover	crossover	NOUN
ajema-8275	54	43	-	-	PUNCT
ajema-8275	54	44	mutation	mutation	NOUN
ajema-8275	54	45	(	(	PUNCT
ajema-8275	54	46	hdcm	hdcm	NOUN
ajema-8275	54	47	)	)	PUNCT
ajema-8275	54	48	.	.	PUNCT
ajema-8275	55	1	this	this	DET
ajema-8275	55	2	operator	operator	NOUN
ajema-8275	55	3	integrates	integrate	VERB
ajema-8275	55	4	the	the	DET
ajema-8275	55	5	global	global	ADJ
ajema-8275	55	6	search	search	NOUN
ajema-8275	55	7	capabilities	capability	NOUN
ajema-8275	55	8	of	of	ADP
ajema-8275	55	9	differential	differential	ADJ
ajema-8275	55	10	evolution	evolution	NOUN
ajema-8275	55	11	(	(	PUNCT
ajema-8275	55	12	de	de	NOUN
ajema-8275	55	13	)	)	PUNCT
ajema-8275	55	14	with	with	ADP
ajema-8275	55	15	the	the	DET
ajema-8275	55	16	leadership	leadership	NOUN
ajema-8275	55	17	dynamics	dynamic	NOUN
ajema-8275	55	18	of	of	ADP
ajema-8275	55	19	gwo	gwo	PROPN
ajema-8275	55	20	,	,	PUNCT
ajema-8275	55	21	thereby	thereby	ADV
ajema-8275	55	22	improving	improve	VERB
ajema-8275	55	23	the	the	DET
ajema-8275	55	24	balance	balance	NOUN
ajema-8275	55	25	between	between	ADP
ajema-8275	55	26	exploration	exploration	NOUN
ajema-8275	55	27	(	(	PUNCT
ajema-8275	55	28	diversifying	diversify	VERB
ajema-8275	55	29	the	the	DET
ajema-8275	55	30	search	search	NOUN
ajema-8275	55	31	space	space	NOUN
ajema-8275	55	32	)	)	PUNCT
ajema-8275	55	33	and	and	CCONJ
ajema-8275	55	34	exploitation	exploitation	NOUN
ajema-8275	55	35	(	(	PUNCT
ajema-8275	55	36	intensifying	intensify	VERB
ajema-8275	55	37	the	the	DET
ajema-8275	55	38	search	search	NOUN
ajema-8275	55	39	around	around	ADP
ajema-8275	55	40	optimal	optimal	ADJ
ajema-8275	55	41	regions	region	NOUN
ajema-8275	55	42	)	)	PUNCT
ajema-8275	56	1	[	[	X
ajema-8275	56	2	8	8	NUM
ajema-8275	56	3	]	]	PUNCT
ajema-8275	56	4	.	.	PUNCT
ajema-8275	57	1	description	description	NOUN
ajema-8275	57	2	of	of	ADP
ajema-8275	57	3	the	the	DET
ajema-8275	57	4	operator	operator	NOUN
ajema-8275	57	5	in	in	ADP
ajema-8275	57	6	the	the	DET
ajema-8275	57	7	classical	classical	ADJ
ajema-8275	57	8	gwo	gwo	NOUN
ajema-8275	57	9	,	,	PUNCT
ajema-8275	57	10	three	three	NUM
ajema-8275	57	11	main	main	ADJ
ajema-8275	57	12	wolves	wolf	NOUN
ajema-8275	57	13	(	(	PUNCT
ajema-8275	57	14	α	α	NOUN
ajema-8275	57	15	,	,	PUNCT
ajema-8275	57	16	β	β	NOUN
ajema-8275	57	17	,	,	PUNCT
ajema-8275	57	18	and	and	CCONJ
ajema-8275	57	19	δ	δ	PROPN
ajema-8275	57	20	)	)	PUNCT
ajema-8275	57	21	guide	guide	VERB
ajema-8275	57	22	the	the	DET
ajema-8275	57	23	movement	movement	NOUN
ajema-8275	57	24	of	of	ADP
ajema-8275	57	25	the	the	DET
ajema-8275	57	26	search	search	NOUN
ajema-8275	57	27	agents	agent	NOUN
ajema-8275	57	28	based	base	VERB
ajema-8275	57	29	on	on	ADP
ajema-8275	57	30	position	position	NOUN
ajema-8275	57	31	updates	update	NOUN
ajema-8275	57	32	relative	relative	ADJ
ajema-8275	57	33	to	to	ADP
ajema-8275	57	34	the	the	DET
ajema-8275	57	35	prey	prey	NOUN
ajema-8275	57	36	.	.	PUNCT
ajema-8275	58	1	while	while	SCONJ
ajema-8275	58	2	this	this	DET
ajema-8275	58	3	model	model	NOUN
ajema-8275	58	4	is	be	AUX
ajema-8275	58	5	powerful	powerful	ADJ
ajema-8275	58	6	in	in	ADP
ajema-8275	58	7	maintaining	maintain	VERB
ajema-8275	58	8	hierarchy	hierarchy	NOUN
ajema-8275	58	9	-	-	PUNCT
ajema-8275	58	10	based	base	VERB
ajema-8275	58	11	convergence	convergence	NOUN
ajema-8275	58	12	,	,	PUNCT
ajema-8275	58	13	it	it	PRON
ajema-8275	58	14	often	often	ADV
ajema-8275	58	15	suffers	suffer	VERB
ajema-8275	58	16	from	from	ADP
ajema-8275	58	17	early	early	ADJ
ajema-8275	58	18	convergence	convergence	NOUN
ajema-8275	58	19	in	in	ADP
ajema-8275	58	20	high	high	ADV
ajema-8275	58	21	-	-	PUNCT
ajema-8275	58	22	dimensional	dimensional	ADJ
ajema-8275	58	23	or	or	CCONJ
ajema-8275	58	24	deceptive	deceptive	ADJ
ajema-8275	58	25	landscapes	landscape	NOUN
ajema-8275	58	26	like	like	ADP
ajema-8275	58	27	msa	msa	PROPN
ajema-8275	59	1	[	[	X
ajema-8275	59	2	10	10	NUM
ajema-8275	59	3	]	]	PUNCT
ajema-8275	59	4	.	.	PUNCT
ajema-8275	60	1	to	to	PART
ajema-8275	60	2	overcome	overcome	VERB
ajema-8275	60	3	this	this	PRON
ajema-8275	60	4	,	,	PUNCT
ajema-8275	60	5	we	we	PRON
ajema-8275	60	6	introduce	introduce	VERB
ajema-8275	60	7	two	two	NUM
ajema-8275	60	8	main	main	ADJ
ajema-8275	60	9	modifications	modification	NOUN
ajema-8275	60	10	:	:	PUNCT
ajema-8275	60	11	1	1	X
ajema-8275	60	12	.	.	X
ajema-8275	60	13	differential	differential	ADJ
ajema-8275	60	14	crossover	crossover	NOUN
ajema-8275	60	15	:	:	PUNCT
ajema-8275	60	16	inspired	inspire	VERB
ajema-8275	60	17	by	by	ADP
ajema-8275	60	18	de	de	PROPN
ajema-8275	60	19	,	,	PUNCT
ajema-8275	60	20	this	this	DET
ajema-8275	60	21	step	step	NOUN
ajema-8275	60	22	perturbs	perturb	VERB
ajema-8275	60	23	the	the	DET
ajema-8275	60	24	position	position	NOUN
ajema-8275	60	25	of	of	ADP
ajema-8275	60	26	a	a	DET
ajema-8275	60	27	wolf	wolf	NOUN
ajema-8275	60	28	using	use	VERB
ajema-8275	60	29	the	the	DET
ajema-8275	60	30	scaled	scale	VERB
ajema-8275	60	31	difference	difference	NOUN
ajema-8275	60	32	of	of	ADP
ajema-8275	60	33	two	two	NUM
ajema-8275	60	34	randomly	randomly	ADV
ajema-8275	60	35	selected	select	VERB
ajema-8275	60	36	wolves	wolf	NOUN
ajema-8275	60	37	:	:	PUNCT
ajema-8275	60	38	v𝑖	v𝑖	NOUN
ajema-8275	60	39	=	=	PUNCT
ajema-8275	60	40	x𝑎	x𝑎	PROPN
ajema-8275	61	1	+	+	CCONJ
ajema-8275	61	2	f	f	PROPN
ajema-8275	61	3	⋅	⋅	PROPN
ajema-8275	61	4	(	(	PUNCT
ajema-8275	61	5	𝑋𝑟1	𝑋𝑟1	NOUN
ajema-8275	61	6	−	−	PROPN
ajema-8275	61	7	𝑋𝑟2	𝑋𝑟2	NOUN
ajema-8275	61	8	)	)	PUNCT
ajema-8275	61	9	where	where	SCONJ
ajema-8275	61	10	vi	vi	PROPN
ajema-8275	61	11	is	be	AUX
ajema-8275	61	12	the	the	DET
ajema-8275	61	13	trial	trial	NOUN
ajema-8275	61	14	vector	vector	NOUN
ajema-8275	61	15	,	,	PUNCT
ajema-8275	61	16	f	f	PROPN
ajema-8275	61	17	is	be	AUX
ajema-8275	61	18	a	a	DET
ajema-8275	61	19	scaling	scale	VERB
ajema-8275	61	20	factor	factor	NOUN
ajema-8275	61	21	(	(	PUNCT
ajema-8275	61	22	typically	typically	ADV
ajema-8275	61	23	0.5–0.9	0.5–0.9	NOUN
ajema-8275	61	24	)	)	PUNCT
ajema-8275	61	25	,	,	PUNCT
ajema-8275	61	26	and	and	CCONJ
ajema-8275	61	27	𝑋𝑟1	𝑋𝑟1	NOUN
ajema-8275	61	28	−	−	PROPN
ajema-8275	61	29	𝑋𝑟2	𝑋𝑟2	NOUN
ajema-8275	61	30	are	be	AUX
ajema-8275	61	31	randomly	randomly	ADV
ajema-8275	61	32	chosen	choose	VERB
ajema-8275	61	33	wolves	wolf	NOUN
ajema-8275	61	34	from	from	ADP
ajema-8275	61	35	the	the	DET
ajema-8275	61	36	population	population	NOUN
ajema-8275	61	37	.	.	PUNCT
ajema-8275	62	1	where	where	SCONJ
ajema-8275	62	2	:	:	PUNCT
ajema-8275	62	3	➢	➢	X
ajema-8275	62	4	x𝑎	x𝑎	PROPN
ajema-8275	62	5	is	be	AUX
ajema-8275	62	6	the	the	DET
ajema-8275	62	7	position	position	NOUN
ajema-8275	62	8	of	of	ADP
ajema-8275	62	9	the	the	DET
ajema-8275	62	10	alpha	alpha	NOUN
ajema-8275	62	11	wolf	wolf	NOUN
ajema-8275	62	12	(	(	PUNCT
ajema-8275	62	13	best	good	ADJ
ajema-8275	62	14	solution	solution	NOUN
ajema-8275	62	15	)	)	PUNCT
ajema-8275	62	16	,	,	PUNCT
ajema-8275	62	17	➢	➢	VERB
ajema-8275	62	18	𝑋𝑟1	𝑋𝑟1	NOUN
ajema-8275	62	19	and	and	CCONJ
ajema-8275	62	20	𝑋𝑟2	𝑋𝑟2	NOUN
ajema-8275	62	21	are	be	AUX
ajema-8275	62	22	two	two	NUM
ajema-8275	62	23	distinct	distinct	ADJ
ajema-8275	62	24	randomly	randomly	ADV
ajema-8275	62	25	selected	select	VERB
ajema-8275	62	26	wolves	wolf	NOUN
ajema-8275	62	27	from	from	ADP
ajema-8275	62	28	the	the	DET
ajema-8275	62	29	population	population	NOUN
ajema-8275	62	30	,	,	PUNCT
ajema-8275	62	31	➢	➢	VERB
ajema-8275	62	32	f∈[0.5,0.9	f∈[0.5,0.9	NOUN
ajema-8275	62	33	]	]	PUNCT
ajema-8275	62	34	is	be	AUX
ajema-8275	62	35	a	a	DET
ajema-8275	62	36	scaling	scale	VERB
ajema-8275	62	37	factor	factor	NOUN
ajema-8275	62	38	that	that	PRON
ajema-8275	62	39	controls	control	VERB
ajema-8275	62	40	the	the	DET
ajema-8275	62	41	amplification	amplification	NOUN
ajema-8275	62	42	of	of	ADP
ajema-8275	62	43	the	the	DET
ajema-8275	62	44	differential	differential	ADJ
ajema-8275	62	45	variation	variation	NOUN
ajema-8275	62	46	,	,	PUNCT
ajema-8275	62	47	➢	➢	NOUN
ajema-8275	62	48	v𝑖	v𝑖	PROPN
ajema-8275	62	49	is	be	AUX
ajema-8275	62	50	the	the	DET
ajema-8275	62	51	resulting	result	VERB
ajema-8275	62	52	trial	trial	NOUN
ajema-8275	62	53	solution	solution	NOUN
ajema-8275	62	54	vector	vector	NOUN
ajema-8275	62	55	.	.	PUNCT
ajema-8275	63	1	2	2	NUM
ajema-8275	63	2	.	.	X
ajema-8275	63	3	adaptive	adaptive	ADJ
ajema-8275	63	4	mutation	mutation	NOUN
ajema-8275	63	5	via	via	ADP
ajema-8275	63	6	β	β	NOUN
ajema-8275	63	7	-	-	ADJ
ajema-8275	63	8	leader	leader	NOUN
ajema-8275	63	9	update	update	NOUN
ajema-8275	63	10	:	:	PUNCT
ajema-8275	63	11	after	after	ADP
ajema-8275	63	12	crossover	crossover	NOUN
ajema-8275	63	13	,	,	PUNCT
ajema-8275	63	14	a	a	DET
ajema-8275	63	15	mutation	mutation	NOUN
ajema-8275	63	16	is	be	AUX
ajema-8275	63	17	applied	apply	VERB
ajema-8275	63	18	using	use	VERB
ajema-8275	63	19	a	a	DET
ajema-8275	63	20	probabilistic	probabilistic	ADJ
ajema-8275	63	21	adjustment	adjustment	NOUN
ajema-8275	63	22	based	base	VERB
ajema-8275	63	23	on	on	ADP
ajema-8275	63	24	the	the	DET
ajema-8275	63	25	distance	distance	NOUN
ajema-8275	63	26	from	from	ADP
ajema-8275	63	27	the	the	DET
ajema-8275	63	28	β	β	X
ajema-8275	63	29	wolf	wolf	NOUN
ajema-8275	64	1	[	[	X
ajema-8275	64	2	11	11	NUM
ajema-8275	64	3	-	-	SYM
ajema-8275	64	4	14	14	NUM
ajema-8275	64	5	]	]	PUNCT
ajema-8275	64	6	:	:	PUNCT
ajema-8275	64	7	x𝑖	x𝑖	PROPN
ajema-8275	64	8	new	new	ADJ
ajema-8275	64	9	=	=	PUNCT
ajema-8275	64	10	v𝑖	v𝑖	PROPN
ajema-8275	64	11	+	+	CCONJ
ajema-8275	64	12	𝛌	𝛌	PROPN
ajema-8275	64	13	⋅	⋅	PROPN
ajema-8275	64	14	(	(	PUNCT
ajema-8275	64	15	𝑋𝛃	𝑋𝛃	PROPN
ajema-8275	64	16	−	−	PROPN
ajema-8275	64	17	𝑋𝑖	𝑋𝑖	NOUN
ajema-8275	64	18	)	)	PUNCT
ajema-8275	64	19	where	where	SCONJ
ajema-8275	64	20	𝛌	𝛌	PROPN
ajema-8275	64	21	⋅	⋅	PROPN
ajema-8275	64	22	is	be	AUX
ajema-8275	64	23	an	an	DET
ajema-8275	64	24	adaptive	adaptive	ADJ
ajema-8275	64	25	parameter	parameter	NOUN
ajema-8275	64	26	decreasing	decrease	VERB
ajema-8275	64	27	over	over	ADP
ajema-8275	64	28	iterations	iteration	NOUN
ajema-8275	64	29	to	to	PART
ajema-8275	64	30	shift	shift	VERB
ajema-8275	64	31	from	from	ADP
ajema-8275	64	32	exploration	exploration	NOUN
ajema-8275	64	33	to	to	ADP
ajema-8275	64	34	exploitation	exploitation	NOUN
ajema-8275	64	35	.	.	PUNCT
ajema-8275	65	1	where	where	SCONJ
ajema-8275	65	2	:	:	PUNCT
ajema-8275	65	3	➢	➢	VERB
ajema-8275	65	4	𝑋𝛃	𝑋𝛃	PROPN
ajema-8275	65	5	is	be	AUX
ajema-8275	65	6	the	the	DET
ajema-8275	65	7	position	position	NOUN
ajema-8275	65	8	of	of	ADP
ajema-8275	65	9	the	the	DET
ajema-8275	65	10	beta	beta	ADJ
ajema-8275	65	11	wolf	wolf	NOUN
ajema-8275	65	12	(	(	PUNCT
ajema-8275	65	13	second	second	ADV
ajema-8275	65	14	-	-	PUNCT
ajema-8275	65	15	best	good	ADJ
ajema-8275	65	16	solution	solution	NOUN
ajema-8275	65	17	)	)	PUNCT
ajema-8275	65	18	,	,	PUNCT
ajema-8275	65	19	42	42	NUM
ajema-8275	65	20	journal	journal	NOUN
ajema-8275	65	21	of	of	ADP
ajema-8275	65	22	engineering	engineering	NOUN
ajema-8275	65	23	,	,	PUNCT
ajema-8275	65	24	mechanics	mechanic	NOUN
ajema-8275	65	25	and	and	CCONJ
ajema-8275	65	26	architecture	architecture	NOUN
ajema-8275	65	27	www	www	NOUN
ajema-8275	65	28	.	.	PUNCT
ajema-8275	66	1	grnjournal.us	grnjournal.us	X
ajema-8275	66	2	➢	➢	VERB
ajema-8275	67	1	𝑋𝑖	𝑋𝑖	NOUN
ajema-8275	67	2	is	be	AUX
ajema-8275	67	3	the	the	DET
ajema-8275	67	4	current	current	ADJ
ajema-8275	67	5	solution	solution	NOUN
ajema-8275	67	6	,	,	PUNCT
ajema-8275	67	7	➢	➢	NOUN
ajema-8275	67	8	λ	λ	NOUN
ajema-8275	67	9	is	be	AUX
ajema-8275	67	10	an	an	DET
ajema-8275	67	11	adaptive	adaptive	ADJ
ajema-8275	67	12	parameter	parameter	NOUN
ajema-8275	67	13	that	that	PRON
ajema-8275	67	14	decreases	decrease	VERB
ajema-8275	67	15	over	over	ADP
ajema-8275	67	16	iterations	iteration	NOUN
ajema-8275	67	17	to	to	PART
ajema-8275	67	18	shift	shift	VERB
ajema-8275	67	19	the	the	DET
ajema-8275	67	20	focus	focus	NOUN
ajema-8275	67	21	from	from	ADP
ajema-8275	67	22	exploration	exploration	NOUN
ajema-8275	67	23	to	to	ADP
ajema-8275	67	24	exploitation	exploitation	NOUN
ajema-8275	67	25	.	.	PUNCT
ajema-8275	68	1	this	this	DET
ajema-8275	68	2	hybrid	hybrid	ADJ
ajema-8275	68	3	operator	operator	NOUN
ajema-8275	68	4	ensures	ensure	VERB
ajema-8275	68	5	that	that	SCONJ
ajema-8275	68	6	while	while	SCONJ
ajema-8275	68	7	the	the	DET
ajema-8275	68	8	algorithm	algorithm	NOUN
ajema-8275	68	9	explores	explore	VERB
ajema-8275	68	10	new	new	ADJ
ajema-8275	68	11	regions	region	NOUN
ajema-8275	68	12	,	,	PUNCT
ajema-8275	68	13	it	it	PRON
ajema-8275	68	14	also	also	ADV
ajema-8275	68	15	progressively	progressively	ADV
ajema-8275	68	16	converges	converge	VERB
ajema-8275	68	17	towards	towards	ADP
ajema-8275	68	18	better	well	ADJ
ajema-8275	68	19	alignments	alignment	NOUN
ajema-8275	68	20	,	,	PUNCT
ajema-8275	68	21	addressing	address	VERB
ajema-8275	68	22	the	the	DET
ajema-8275	68	23	limitations	limitation	NOUN
ajema-8275	68	24	of	of	ADP
ajema-8275	68	25	standard	standard	ADJ
ajema-8275	68	26	gwo	gwo	PROPN
ajema-8275	68	27	.	.	PROPN
ajema-8275	68	28	role	role	NOUN
ajema-8275	68	29	in	in	ADP
ajema-8275	68	30	exploration	exploration	NOUN
ajema-8275	68	31	-	-	PUNCT
ajema-8275	68	32	exploitation	exploitation	NOUN
ajema-8275	68	33	balance	balance	NOUN
ajema-8275	68	34	the	the	DET
ajema-8275	68	35	integration	integration	NOUN
ajema-8275	68	36	of	of	ADP
ajema-8275	68	37	crossover	crossover	NOUN
ajema-8275	68	38	allows	allow	VERB
ajema-8275	68	39	the	the	DET
ajema-8275	68	40	wolves	wolf	NOUN
ajema-8275	68	41	to	to	PART
ajema-8275	68	42	escape	escape	VERB
ajema-8275	68	43	local	local	ADJ
ajema-8275	68	44	optima	optima	NOUN
ajema-8275	68	45	by	by	ADP
ajema-8275	68	46	generating	generate	VERB
ajema-8275	68	47	new	new	ADJ
ajema-8275	68	48	trial	trial	NOUN
ajema-8275	68	49	solutions	solution	NOUN
ajema-8275	68	50	,	,	PUNCT
ajema-8275	68	51	while	while	SCONJ
ajema-8275	68	52	the	the	DET
ajema-8275	68	53	adaptive	adaptive	ADJ
ajema-8275	68	54	mutation	mutation	NOUN
ajema-8275	68	55	biases	bias	VERB
ajema-8275	68	56	the	the	DET
ajema-8275	68	57	population	population	NOUN
ajema-8275	68	58	gradually	gradually	ADV
ajema-8275	68	59	towards	towards	ADP
ajema-8275	68	60	the	the	DET
ajema-8275	68	61	betterperforming	betterperforming	NOUN
ajema-8275	68	62	β	β	NOUN
ajema-8275	68	63	leader	leader	NOUN
ajema-8275	68	64	.	.	PUNCT
ajema-8275	69	1	the	the	DET
ajema-8275	69	2	decreasing	decrease	VERB
ajema-8275	69	3	nature	nature	NOUN
ajema-8275	69	4	of	of	ADP
ajema-8275	69	5	the	the	DET
ajema-8275	69	6	mutation	mutation	NOUN
ajema-8275	69	7	strength	strength	NOUN
ajema-8275	69	8	λ	λ	PROPN
ajema-8275	69	9	ensures	ensure	VERB
ajema-8275	69	10	that	that	SCONJ
ajema-8275	69	11	early	early	ADJ
ajema-8275	69	12	iterations	iteration	NOUN
ajema-8275	69	13	are	be	AUX
ajema-8275	69	14	more	more	ADV
ajema-8275	69	15	exploratory	exploratory	ADJ
ajema-8275	69	16	,	,	PUNCT
ajema-8275	69	17	and	and	CCONJ
ajema-8275	69	18	later	late	ADJ
ajema-8275	69	19	iterations	iteration	NOUN
ajema-8275	69	20	are	be	AUX
ajema-8275	69	21	more	more	ADV
ajema-8275	69	22	exploitative	exploitative	ADJ
ajema-8275	69	23	—	—	PUNCT
ajema-8275	69	24	resulting	result	VERB
ajema-8275	69	25	in	in	ADP
ajema-8275	69	26	faster	fast	ADJ
ajema-8275	69	27	convergence	convergence	NOUN
ajema-8275	69	28	with	with	ADP
ajema-8275	69	29	higher	high	ADJ
ajema-8275	69	30	accuracy	accuracy	NOUN
ajema-8275	69	31	[	[	X
ajema-8275	69	32	15	15	NUM
ajema-8275	69	33	]	]	PUNCT
ajema-8275	69	34	.	.	PUNCT
ajema-8275	70	1	4	4	X
ajema-8275	70	2	.	.	NUM
ajema-8275	70	3	proposed	propose	VERB
ajema-8275	70	4	operator	operator	NOUN
ajema-8275	70	5	improvement	improvement	NOUN
ajema-8275	70	6	in	in	ADP
ajema-8275	70	7	gwo	gwo	PROPN
ajema-8275	70	8	for	for	ADP
ajema-8275	70	9	multiple	multiple	ADJ
ajema-8275	70	10	sequence	sequence	NOUN
ajema-8275	70	11	alignment	alignment	NOUN
ajema-8275	70	12	(	(	PUNCT
ajema-8275	70	13	msa	msa	PROPN
ajema-8275	70	14	)	)	PUNCT
ajema-8275	70	15	to	to	PART
ajema-8275	70	16	enhance	enhance	VERB
ajema-8275	70	17	the	the	DET
ajema-8275	70	18	performance	performance	NOUN
ajema-8275	70	19	of	of	ADP
ajema-8275	70	20	the	the	DET
ajema-8275	70	21	grey	grey	ADJ
ajema-8275	70	22	wolf	wolf	PROPN
ajema-8275	70	23	optimization	optimization	NOUN
ajema-8275	70	24	(	(	PUNCT
ajema-8275	70	25	gwo	gwo	NOUN
ajema-8275	70	26	)	)	PUNCT
ajema-8275	70	27	algorithm	algorithm	NOUN
ajema-8275	70	28	in	in	ADP
ajema-8275	70	29	resolving	resolve	VERB
ajema-8275	70	30	the	the	DET
ajema-8275	70	31	multiple	multiple	ADJ
ajema-8275	70	32	sequence	sequence	NOUN
ajema-8275	70	33	alignment	alignment	NOUN
ajema-8275	70	34	(	(	PUNCT
ajema-8275	70	35	msa	msa	PROPN
ajema-8275	70	36	)	)	PUNCT
ajema-8275	70	37	problem	problem	NOUN
ajema-8275	70	38	,	,	PUNCT
ajema-8275	70	39	this	this	DET
ajema-8275	70	40	paper	paper	NOUN
ajema-8275	70	41	proposes	propose	VERB
ajema-8275	70	42	a	a	DET
ajema-8275	70	43	novel	novel	ADJ
ajema-8275	70	44	adaptive	adaptive	ADJ
ajema-8275	70	45	guided	guide	VERB
ajema-8275	70	46	mutation	mutation	NOUN
ajema-8275	70	47	operator	operator	NOUN
ajema-8275	70	48	(	(	PUNCT
ajema-8275	70	49	agmo	agmo	ADJ
ajema-8275	70	50	)	)	PUNCT
ajema-8275	70	51	.	.	PUNCT
ajema-8275	71	1	traditional	traditional	ADJ
ajema-8275	71	2	gwo	gwo	PROPN
ajema-8275	71	3	relies	rely	VERB
ajema-8275	71	4	on	on	ADP
ajema-8275	71	5	simple	simple	ADJ
ajema-8275	71	6	encircling	encircling	NOUN
ajema-8275	71	7	and	and	CCONJ
ajema-8275	71	8	position	position	NOUN
ajema-8275	71	9	updating	update	VERB
ajema-8275	71	10	mechanisms	mechanism	NOUN
ajema-8275	71	11	guided	guide	VERB
ajema-8275	71	12	by	by	ADP
ajema-8275	71	13	the	the	DET
ajema-8275	71	14	alpha	alpha	NOUN
ajema-8275	71	15	,	,	PUNCT
ajema-8275	71	16	beta	beta	NOUN
ajema-8275	71	17	,	,	PUNCT
ajema-8275	71	18	and	and	CCONJ
ajema-8275	71	19	delta	delta	NOUN
ajema-8275	71	20	wolves	wolf	NOUN
ajema-8275	71	21	.	.	PUNCT
ajema-8275	72	1	while	while	SCONJ
ajema-8275	72	2	this	this	PRON
ajema-8275	72	3	enables	enable	VERB
ajema-8275	72	4	exploration	exploration	NOUN
ajema-8275	72	5	and	and	CCONJ
ajema-8275	72	6	exploitation	exploitation	NOUN
ajema-8275	72	7	,	,	PUNCT
ajema-8275	72	8	the	the	DET
ajema-8275	72	9	algorithm	algorithm	NOUN
ajema-8275	72	10	can	can	AUX
ajema-8275	72	11	get	get	AUX
ajema-8275	72	12	trapped	trap	VERB
ajema-8275	72	13	in	in	ADP
ajema-8275	72	14	local	local	ADJ
ajema-8275	72	15	optima	optima	NOUN
ajema-8275	72	16	or	or	CCONJ
ajema-8275	72	17	prematurely	prematurely	ADV
ajema-8275	72	18	converge	converge	VERB
ajema-8275	72	19	when	when	SCONJ
ajema-8275	72	20	tackling	tackle	VERB
ajema-8275	72	21	high	high	ADJ
ajema-8275	72	22	-	-	PUNCT
ajema-8275	72	23	dimensional	dimensional	ADJ
ajema-8275	72	24	,	,	PUNCT
ajema-8275	72	25	multi	multi	ADJ
ajema-8275	72	26	-	-	ADJ
ajema-8275	72	27	objective	objective	ADJ
ajema-8275	72	28	problems	problem	NOUN
ajema-8275	72	29	like	like	ADP
ajema-8275	72	30	msa	msa	PROPN
ajema-8275	72	31	.	.	PUNCT
ajema-8275	73	1	msa	msa	PROPN
ajema-8275	73	2	requires	require	VERB
ajema-8275	73	3	managing	manage	VERB
ajema-8275	73	4	diverse	diverse	ADJ
ajema-8275	73	5	evolutionary	evolutionary	ADJ
ajema-8275	73	6	variations	variation	NOUN
ajema-8275	73	7	,	,	PUNCT
ajema-8275	73	8	gaps	gap	NOUN
ajema-8275	73	9	,	,	PUNCT
ajema-8275	73	10	and	and	CCONJ
ajema-8275	73	11	similarities	similarity	NOUN
ajema-8275	73	12	among	among	ADP
ajema-8275	73	13	multiple	multiple	ADJ
ajema-8275	73	14	sequences	sequence	NOUN
ajema-8275	73	15	.	.	PUNCT
ajema-8275	74	1	therefore	therefore	ADV
ajema-8275	74	2	,	,	PUNCT
ajema-8275	74	3	we	we	PRON
ajema-8275	74	4	introduce	introduce	VERB
ajema-8275	74	5	the	the	DET
ajema-8275	74	6	agmo	agmo	NOUN
ajema-8275	74	7	,	,	PUNCT
ajema-8275	74	8	which	which	PRON
ajema-8275	74	9	strategically	strategically	ADV
ajema-8275	74	10	improves	improve	VERB
ajema-8275	74	11	the	the	DET
ajema-8275	74	12	diversity	diversity	NOUN
ajema-8275	74	13	and	and	CCONJ
ajema-8275	74	14	adaptability	adaptability	NOUN
ajema-8275	74	15	of	of	ADP
ajema-8275	74	16	the	the	DET
ajema-8275	74	17	search	search	NOUN
ajema-8275	74	18	process	process	NOUN
ajema-8275	74	19	by	by	ADP
ajema-8275	74	20	integrating	integrate	VERB
ajema-8275	74	21	a	a	DET
ajema-8275	74	22	guided	guide	VERB
ajema-8275	74	23	mutation	mutation	NOUN
ajema-8275	74	24	mechanism	mechanism	NOUN
ajema-8275	74	25	into	into	ADP
ajema-8275	74	26	the	the	DET
ajema-8275	74	27	position	position	NOUN
ajema-8275	74	28	update	update	NOUN
ajema-8275	74	29	step	step	NOUN
ajema-8275	74	30	.	.	PUNCT
ajema-8275	75	1	description	description	NOUN
ajema-8275	75	2	of	of	ADP
ajema-8275	75	3	the	the	DET
ajema-8275	75	4	improved	improved	ADJ
ajema-8275	75	5	operator	operator	NOUN
ajema-8275	75	6	:	:	PUNCT
ajema-8275	75	7	the	the	DET
ajema-8275	75	8	proposed	propose	VERB
ajema-8275	75	9	operator	operator	NOUN
ajema-8275	75	10	works	work	VERB
ajema-8275	75	11	in	in	ADP
ajema-8275	75	12	three	three	NUM
ajema-8275	75	13	stages	stage	NOUN
ajema-8275	75	14	:	:	PUNCT
ajema-8275	75	15	1	1	X
ajema-8275	75	16	.	.	PUNCT
ajema-8275	75	17	guided	guide	VERB
ajema-8275	75	18	sequence	sequence	NOUN
ajema-8275	75	19	mutation	mutation	NOUN
ajema-8275	75	20	:	:	PUNCT
ajema-8275	75	21	o	o	NOUN
ajema-8275	75	22	at	at	ADP
ajema-8275	75	23	each	each	DET
ajema-8275	75	24	iteration	iteration	NOUN
ajema-8275	75	25	,	,	PUNCT
ajema-8275	75	26	a	a	DET
ajema-8275	75	27	subset	subset	NOUN
ajema-8275	75	28	of	of	ADP
ajema-8275	75	29	wolves	wolf	NOUN
ajema-8275	75	30	(	(	PUNCT
ajema-8275	75	31	solutions	solution	NOUN
ajema-8275	75	32	)	)	PUNCT
ajema-8275	75	33	undergo	undergo	VERB
ajema-8275	75	34	a	a	DET
ajema-8275	75	35	controlled	control	VERB
ajema-8275	75	36	mutation	mutation	NOUN
ajema-8275	75	37	based	base	VERB
ajema-8275	75	38	on	on	ADP
ajema-8275	75	39	the	the	DET
ajema-8275	75	40	difference	difference	NOUN
ajema-8275	75	41	between	between	ADP
ajema-8275	75	42	their	their	PRON
ajema-8275	75	43	alignment	alignment	NOUN
ajema-8275	75	44	score	score	NOUN
ajema-8275	75	45	and	and	CCONJ
ajema-8275	75	46	that	that	PRON
ajema-8275	75	47	of	of	ADP
ajema-8275	75	48	the	the	DET
ajema-8275	75	49	current	current	ADJ
ajema-8275	75	50	best	good	ADJ
ajema-8275	75	51	(	(	PUNCT
ajema-8275	75	52	alpha	alpha	NOUN
ajema-8275	75	53	)	)	PUNCT
ajema-8275	75	54	.	.	PUNCT
ajema-8275	76	1	o	o	X
ajema-8275	77	1	the	the	DET
ajema-8275	77	2	mutation	mutation	NOUN
ajema-8275	77	3	involves	involve	VERB
ajema-8275	77	4	inserting	insert	VERB
ajema-8275	77	5	or	or	CCONJ
ajema-8275	77	6	deleting	delete	VERB
ajema-8275	77	7	gaps	gap	NOUN
ajema-8275	77	8	in	in	ADP
ajema-8275	77	9	low	low	ADJ
ajema-8275	77	10	-	-	PUNCT
ajema-8275	77	11	score	score	NOUN
ajema-8275	77	12	regions	region	NOUN
ajema-8275	77	13	of	of	ADP
ajema-8275	77	14	sequences	sequence	NOUN
ajema-8275	77	15	using	use	VERB
ajema-8275	77	16	a	a	DET
ajema-8275	77	17	biologically	biologically	ADV
ajema-8275	77	18	relevant	relevant	ADJ
ajema-8275	77	19	scoring	scoring	NOUN
ajema-8275	77	20	matrix	matrix	NOUN
ajema-8275	77	21	(	(	PUNCT
ajema-8275	77	22	e.g.	e.g.	ADV
ajema-8275	77	23	,	,	PUNCT
ajema-8275	77	24	blosum62	blosum62	NOUN
ajema-8275	77	25	)	)	PUNCT
ajema-8275	77	26	.	.	PUNCT
ajema-8275	78	1	2	2	X
ajema-8275	78	2	.	.	X
ajema-8275	78	3	adaptive	adaptive	ADJ
ajema-8275	78	4	mutation	mutation	NOUN
ajema-8275	78	5	probability	probability	NOUN
ajema-8275	78	6	:	:	PUNCT
ajema-8275	78	7	o	o	X
ajema-8275	78	8	the	the	DET
ajema-8275	78	9	probability	probability	NOUN
ajema-8275	78	10	of	of	ADP
ajema-8275	78	11	mutation	mutation	NOUN
ajema-8275	78	12	pmutp_{mut}pmut	pmutp_{mut}pmut	NOUN
ajema-8275	78	13	is	be	AUX
ajema-8275	78	14	dynamically	dynamically	ADV
ajema-8275	78	15	adjusted	adjust	VERB
ajema-8275	78	16	based	base	VERB
ajema-8275	78	17	on	on	ADP
ajema-8275	78	18	population	population	NOUN
ajema-8275	78	19	diversity	diversity	NOUN
ajema-8275	78	20	d	d	NOUN
ajema-8275	78	21	and	and	CCONJ
ajema-8275	78	22	convergence	convergence	NOUN
ajema-8275	78	23	rate	rate	NOUN
ajema-8275	78	24	c	c	NOUN
ajema-8275	78	25	,	,	PUNCT
ajema-8275	78	26	defined	define	VERB
ajema-8275	78	27	as	as	ADP
ajema-8275	78	28	[	[	X
ajema-8275	78	29	16	16	NUM
ajema-8275	78	30	]	]	X
ajema-8275	78	31	:	:	PUNCT
ajema-8275	78	32	𝐏𝐦𝐮𝐭	𝐏𝐦𝐮𝐭	PROPN
ajema-8275	78	33	=	=	SYM
ajema-8275	78	34	𝛄	𝛄	PROPN
ajema-8275	78	35	⋅	⋅	X
ajema-8275	78	36	(	(	PUNCT
ajema-8275	78	37	𝟏	𝟏	NUM
ajema-8275	78	38	−	−	PROPN
ajema-8275	78	39	𝑐	𝑐	PROPN
ajema-8275	78	40	𝑐𝑚𝑎𝑥	𝑐𝑚𝑎𝑥	NOUN
ajema-8275	78	41	)	)	PUNCT
ajema-8275	78	42	.	.	PUNCT
ajema-8275	79	1	𝐷	𝐷	NOUN
ajema-8275	79	2	where	where	SCONJ
ajema-8275	79	3	γ	γ	X
ajema-8275	79	4	∈	∈	PROPN
ajema-8275	79	5	[	[	X
ajema-8275	79	6	0.1,0.9	0.1,0.9	X
ajema-8275	79	7	]	]	PUNCT
ajema-8275	79	8	and	and	CCONJ
ajema-8275	79	9	cmax	cmax	NOUN
ajema-8275	79	10	is	be	AUX
ajema-8275	79	11	the	the	DET
ajema-8275	79	12	maximum	maximum	ADJ
ajema-8275	79	13	or	or	CCONJ
ajema-8275	79	14	highest	high	ADJ
ajema-8275	79	15	number	number	NOUN
ajema-8275	79	16	of	of	ADP
ajema-8275	79	17	iterations	iteration	NOUN
ajema-8275	79	18	.	.	PUNCT
ajema-8275	80	1	diversity	diversity	NOUN
ajema-8275	80	2	d	d	PROPN
ajema-8275	80	3	is	be	AUX
ajema-8275	80	4	calculated	calculate	VERB
ajema-8275	80	5	from	from	ADP
ajema-8275	80	6	the	the	DET
ajema-8275	80	7	average	average	ADJ
ajema-8275	80	8	hamming	hamming	NOUN
ajema-8275	80	9	distance	distance	NOUN
ajema-8275	80	10	among	among	ADP
ajema-8275	80	11	alignments	alignment	NOUN
ajema-8275	80	12	.	.	PUNCT
ajema-8275	81	1	3	3	X
ajema-8275	81	2	.	.	X
ajema-8275	81	3	elite	elite	ADJ
ajema-8275	81	4	reinsertion	reinsertion	NOUN
ajema-8275	81	5	strategy	strategy	NOUN
ajema-8275	81	6	:	:	PUNCT
ajema-8275	81	7	o	o	NOUN
ajema-8275	81	8	to	to	PART
ajema-8275	81	9	retain	retain	VERB
ajema-8275	81	10	convergence	convergence	NOUN
ajema-8275	81	11	speed	speed	NOUN
ajema-8275	81	12	,	,	PUNCT
ajema-8275	81	13	a	a	DET
ajema-8275	81	14	portion	portion	NOUN
ajema-8275	81	15	of	of	ADP
ajema-8275	81	16	the	the	DET
ajema-8275	81	17	mutated	mutate	VERB
ajema-8275	81	18	solutions	solution	NOUN
ajema-8275	81	19	is	be	AUX
ajema-8275	81	20	replaced	replace	VERB
ajema-8275	81	21	with	with	ADP
ajema-8275	81	22	elite	elite	ADJ
ajema-8275	81	23	(	(	PUNCT
ajema-8275	81	24	topperforming	topperforme	VERB
ajema-8275	81	25	)	)	PUNCT
ajema-8275	81	26	wolves	wolf	NOUN
ajema-8275	81	27	,	,	PUNCT
ajema-8275	81	28	maintaining	maintain	VERB
ajema-8275	81	29	a	a	DET
ajema-8275	81	30	balance	balance	NOUN
ajema-8275	81	31	between	between	ADP
ajema-8275	81	32	exploration	exploration	NOUN
ajema-8275	81	33	and	and	CCONJ
ajema-8275	81	34	exploitation	exploitation	NOUN
ajema-8275	81	35	.	.	PUNCT
ajema-8275	82	1	mathematical	mathematical	ADJ
ajema-8275	82	2	integration	integration	NOUN
ajema-8275	82	3	into	into	ADP
ajema-8275	82	4	gwo	gwo	PROPN
ajema-8275	82	5	:	:	PUNCT
ajema-8275	82	6	let	let	VERB
ajema-8275	82	7	x(t	x(t	PROPN
ajema-8275	82	8	)	)	PUNCT
ajema-8275	82	9	be	be	VERB
ajema-8275	82	10	a	a	DET
ajema-8275	82	11	candidate	candidate	NOUN
ajema-8275	82	12	solution	solution	NOUN
ajema-8275	82	13	at	at	ADP
ajema-8275	82	14	iteration	iteration	PROPN
ajema-8275	82	15	ttt	ttt	PROPN
ajema-8275	82	16	,	,	PUNCT
ajema-8275	82	17	and	and	CCONJ
ajema-8275	82	18	f(x	f(x	PROPN
ajema-8275	82	19	)	)	PUNCT
ajema-8275	82	20	its	its	PRON
ajema-8275	82	21	fitness	fitness	NOUN
ajema-8275	82	22	.	.	PUNCT
ajema-8275	83	1	after	after	ADP
ajema-8275	83	2	standard	standard	PROPN
ajema-8275	83	3	gwo	gwo	PROPN
ajema-8275	83	4	position	position	NOUN
ajema-8275	83	5	update	update	NOUN
ajema-8275	83	6	:	:	PUNCT
ajema-8275	83	7	𝐗′(𝐭	𝐗′(𝐭	NOUN
ajema-8275	83	8	)	)	PUNCT
ajema-8275	83	9	=	=	PUNCT
ajema-8275	83	10	𝐆𝐖𝐎_𝐔𝐩𝐝𝐚𝐭𝐞(𝐗(𝐭	𝐆𝐖𝐎_𝐔𝐩𝐝𝐚𝐭𝐞(𝐗(𝐭	X
ajema-8275	83	11	)	)	PUNCT
ajema-8275	83	12	)	)	PUNCT
ajema-8275	83	13	43	43	NUM
ajema-8275	83	14	journal	journal	NOUN
ajema-8275	83	15	of	of	ADP
ajema-8275	83	16	engineering	engineering	NOUN
ajema-8275	83	17	,	,	PUNCT
ajema-8275	83	18	mechanics	mechanic	NOUN
ajema-8275	83	19	and	and	CCONJ
ajema-8275	83	20	architecture	architecture	NOUN
ajema-8275	83	21	www	www	NOUN
ajema-8275	83	22	.	.	PUNCT
ajema-8275	84	1	grnjournal.us	grnjournal.us	X
ajema-8275	84	2	apply	apply	VERB
ajema-8275	84	3	agmo	agmo	NOUN
ajema-8275	84	4	if	if	SCONJ
ajema-8275	84	5	:	:	PUNCT
ajema-8275	84	6	𝐫𝐚𝐧𝐝	𝐫𝐚𝐧𝐝	PROPN
ajema-8275	84	7	(	(	PUNCT
ajema-8275	84	8	)	)	PUNCT
ajema-8275	84	9	<	<	X
ajema-8275	85	1	𝑃𝑚𝑢𝑡	𝑃𝑚𝑢𝑡	PROPN
ajema-8275	85	2	then	then	ADV
ajema-8275	85	3	:	:	PUNCT
ajema-8275	85	4	𝐗′′(𝐭	𝐗′′(𝐭	NOUN
ajema-8275	85	5	)	)	PUNCT
ajema-8275	85	6	=	=	SYM
ajema-8275	85	7	𝐀𝐆𝐌𝐎(𝐗′(𝐭	𝐀𝐆𝐌𝐎(𝐗′(𝐭	NOUN
ajema-8275	85	8	)	)	PUNCT
ajema-8275	85	9	)	)	PUNCT
ajema-8275	86	1	=	=	SYM
ajema-8275	86	2	𝐗′(𝐭	𝐗′(𝐭	PROPN
ajema-8275	86	3	)	)	PUNCT
ajema-8275	86	4	±	±	PROPN
ajema-8275	86	5	𝛅	𝛅	PROPN
ajema-8275	86	6	,	,	PUNCT
ajema-8275	86	7	𝛅	𝛅	NOUN
ajema-8275	86	8	=	=	SYM
ajema-8275	86	9	𝐆𝐚𝐩𝐒𝐡𝐢𝐟𝐭(𝐗	𝐆𝐚𝐩𝐒𝐡𝐢𝐟𝐭(𝐗	NOUN
ajema-8275	86	10	)	)	PUNCT
ajema-8275	86	11	finally	finally	ADV
ajema-8275	86	12	:	:	PUNCT
ajema-8275	86	13	𝐗(𝐭	𝐗(𝐭	NUM
ajema-8275	86	14	+	+	CCONJ
ajema-8275	86	15	𝟏	𝟏	X
ajema-8275	86	16	)	)	PUNCT
ajema-8275	86	17	=	=	NOUN
ajema-8275	86	18	𝐒𝐞𝐥𝐞𝐜𝐭𝐁𝐞𝐬𝐭(𝐗′′(𝐭	𝐒𝐞𝐥𝐞𝐜𝐭𝐁𝐞𝐬𝐭(𝐗′′(𝐭	NOUN
ajema-8275	86	19	)	)	PUNCT
ajema-8275	86	20	,	,	PUNCT
ajema-8275	86	21	𝐄𝐥𝐢𝐭𝐞𝐒𝐞𝐭	𝐄𝐥𝐢𝐭𝐞𝐒𝐞𝐭	PROPN
ajema-8275	86	22	)	)	PUNCT
ajema-8275	86	23	this	this	DET
ajema-8275	86	24	hybridization	hybridization	NOUN
ajema-8275	86	25	significantly	significantly	ADV
ajema-8275	86	26	improves	improve	VERB
ajema-8275	86	27	the	the	DET
ajema-8275	86	28	global	global	ADJ
ajema-8275	86	29	search	search	NOUN
ajema-8275	86	30	capacity	capacity	NOUN
ajema-8275	86	31	of	of	ADP
ajema-8275	86	32	gwo	gwo	PROPN
ajema-8275	86	33	while	while	SCONJ
ajema-8275	86	34	maintaining	maintain	VERB
ajema-8275	86	35	msa	msa	ADJ
ajema-8275	86	36	-	-	PUNCT
ajema-8275	86	37	specific	specific	ADJ
ajema-8275	86	38	alignment	alignment	NOUN
ajema-8275	86	39	integrity	integrity	NOUN
ajema-8275	86	40	[	[	X
ajema-8275	86	41	17	17	NUM
ajema-8275	86	42	-	-	SYM
ajema-8275	86	43	19	19	NUM
ajema-8275	86	44	]	]	PUNCT
ajema-8275	86	45	.	.	PUNCT
ajema-8275	87	1	the	the	DET
ajema-8275	87	2	operator	operator	NOUN
ajema-8275	87	3	ensures	ensure	VERB
ajema-8275	87	4	diversity	diversity	NOUN
ajema-8275	87	5	,	,	PUNCT
ajema-8275	87	6	maintains	maintain	VERB
ajema-8275	87	7	biologically	biologically	ADV
ajema-8275	87	8	meaningful	meaningful	ADJ
ajema-8275	87	9	gap	gap	NOUN
ajema-8275	87	10	distributions	distribution	NOUN
ajema-8275	87	11	,	,	PUNCT
ajema-8275	87	12	and	and	CCONJ
ajema-8275	87	13	adapts	adapt	VERB
ajema-8275	87	14	based	base	VERB
ajema-8275	87	15	on	on	ADP
ajema-8275	87	16	current	current	ADJ
ajema-8275	87	17	optimization	optimization	NOUN
ajema-8275	87	18	status	status	NOUN
ajema-8275	87	19	.	.	PUNCT
ajema-8275	88	1	justification	justification	NOUN
ajema-8275	88	2	:	:	PUNCT
ajema-8275	88	3	the	the	DET
ajema-8275	88	4	agmo	agmo	NOUN
ajema-8275	88	5	enables	enable	VERB
ajema-8275	88	6	the	the	DET
ajema-8275	88	7	gwo	gwo	PROPN
ajema-8275	88	8	algorithm	algorithm	NOUN
ajema-8275	88	9	to	to	PART
ajema-8275	88	10	better	well	ADV
ajema-8275	88	11	navigate	navigate	VERB
ajema-8275	88	12	rugged	rugged	ADJ
ajema-8275	88	13	search	search	NOUN
ajema-8275	88	14	spaces	space	NOUN
ajema-8275	88	15	and	and	CCONJ
ajema-8275	88	16	escape	escape	VERB
ajema-8275	88	17	stagnation	stagnation	NOUN
ajema-8275	88	18	.	.	PUNCT
ajema-8275	89	1	it	it	PRON
ajema-8275	89	2	improves	improve	VERB
ajema-8275	89	3	alignment	alignment	NOUN
ajema-8275	89	4	quality	quality	NOUN
ajema-8275	89	5	by	by	ADP
ajema-8275	89	6	introducing	introduce	VERB
ajema-8275	89	7	biologically	biologically	ADV
ajema-8275	89	8	informed	inform	VERB
ajema-8275	89	9	mutations	mutation	NOUN
ajema-8275	89	10	and	and	CCONJ
ajema-8275	89	11	prevents	prevent	VERB
ajema-8275	89	12	early	early	ADJ
ajema-8275	89	13	convergence	convergence	NOUN
ajema-8275	89	14	through	through	ADP
ajema-8275	89	15	adaptive	adaptive	ADJ
ajema-8275	89	16	diversity	diversity	NOUN
ajema-8275	89	17	control	control	NOUN
ajema-8275	89	18	.	.	PUNCT
ajema-8275	90	1	this	this	DET
ajema-8275	90	2	operator	operator	NOUN
ajema-8275	90	3	particularly	particularly	ADV
ajema-8275	90	4	benefits	benefit	VERB
ajema-8275	90	5	large	large	ADJ
ajema-8275	90	6	-	-	PUNCT
ajema-8275	90	7	scale	scale	NOUN
ajema-8275	90	8	sequence	sequence	NOUN
ajema-8275	90	9	sets	set	NOUN
ajema-8275	90	10	where	where	SCONJ
ajema-8275	90	11	traditional	traditional	ADJ
ajema-8275	90	12	methods	method	NOUN
ajema-8275	90	13	struggle	struggle	VERB
ajema-8275	90	14	to	to	PART
ajema-8275	90	15	maintain	maintain	VERB
ajema-8275	90	16	accuracy	accuracy	NOUN
ajema-8275	90	17	[	[	X
ajema-8275	90	18	20	20	NUM
ajema-8275	90	19	]	]	PUNCT
ajema-8275	90	20	.	.	PUNCT
ajema-8275	91	1	𝐷𝛼	𝐷𝛼	NOUN
ajema-8275	91	2	=	=	NOUN
ajema-8275	91	3	∣	∣	ADJ
ajema-8275	91	4	𝐶1	𝐶1	NUM
ajema-8275	91	5	∙	∙	PROPN
ajema-8275	91	6	𝑋𝑎	𝑋𝑎	PROPN
ajema-8275	91	7	−	−	PROPN
ajema-8275	91	8	𝑋(𝑡	𝑋(𝑡	NOUN
ajema-8275	91	9	)	)	PUNCT
ajema-8275	91	10	∣	∣	NOUN
ajema-8275	91	11	,	,	PUNCT
ajema-8275	91	12	𝑋1	𝑋1	NOUN
ajema-8275	92	1	=	=	SYM
ajema-8275	92	2	𝑋𝛼	𝑋𝛼	PROPN
ajema-8275	92	3	−	−	PROPN
ajema-8275	92	4	𝐴1	𝐴1	PROPN
ajema-8275	93	1	∙	∙	PROPN
ajema-8275	93	2	𝐷𝛼	𝐷𝛼	NOUN
ajema-8275	93	3	𝐷𝛽	𝐷𝛽	PROPN
ajema-8275	93	4	=	=	PROPN
ajema-8275	93	5	∣	∣	ADJ
ajema-8275	93	6	𝐶2	𝐶2	ADJ
ajema-8275	93	7	∙	∙	PROPN
ajema-8275	93	8	𝑋𝛽	𝑋𝛽	PROPN
ajema-8275	93	9	−	−	PROPN
ajema-8275	93	10	𝑋(𝑡	𝑋(𝑡	PROPN
ajema-8275	93	11	)	)	PUNCT
ajema-8275	93	12	∣	∣	PROPN
ajema-8275	93	13	,	,	PUNCT
ajema-8275	93	14	𝑋2	𝑋2	VERB
ajema-8275	93	15	=	=	PUNCT
ajema-8275	94	1	𝑋𝛽	𝑋𝛽	ADJ
ajema-8275	94	2	−	−	PROPN
ajema-8275	94	3	𝐴2	𝐴2	NOUN
ajema-8275	94	4	∙	∙	PROPN
ajema-8275	94	5	𝐷𝛽	𝐷𝛽	PROPN
ajema-8275	94	6	𝐷𝛿	𝐷𝛿	PROPN
ajema-8275	94	7	=	=	PROPN
ajema-8275	94	8	∣	∣	ADJ
ajema-8275	94	9	𝐶3	𝐶3	ADJ
ajema-8275	94	10	∙	∙	PROPN
ajema-8275	94	11	𝑋𝛿	𝑋𝛿	PROPN
ajema-8275	94	12	−	−	NUM
ajema-8275	94	13	𝑋(𝑡	𝑋(𝑡	NUM
ajema-8275	94	14	)	)	PUNCT
ajema-8275	94	15	∣	∣	NOUN
ajema-8275	94	16	,	,	PUNCT
ajema-8275	94	17	𝑋3	𝑋3	NOUN
ajema-8275	94	18	=	=	SYM
ajema-8275	95	1	𝑋𝛿	𝑋𝛿	ADP
ajema-8275	95	2	−	−	PROPN
ajema-8275	96	1	𝐴3	𝐴3	PROPN
ajema-8275	96	2	∙	∙	PROPN
ajema-8275	96	3	𝐷𝛿	𝐷𝛿	PROPN
ajema-8275	96	4	𝑋(𝑡	𝑋(𝑡	PROPN
ajema-8275	96	5	+	+	NOUN
ajema-8275	96	6	1	1	X
ajema-8275	96	7	)	)	PUNCT
ajema-8275	96	8	=	=	SYM
ajema-8275	96	9	𝑋1	𝑋1	PROPN
ajema-8275	96	10	+	+	CCONJ
ajema-8275	96	11	𝑋2	𝑋2	VERB
ajema-8275	96	12	+	+	X
ajema-8275	96	13	𝑋3	𝑋3	NOUN
ajema-8275	96	14	3	3	NUM
ajema-8275	96	15	5	5	NUM
ajema-8275	96	16	.	.	PUNCT
ajema-8275	96	17	mathematical	mathematical	ADJ
ajema-8275	96	18	model	model	NOUN
ajema-8275	96	19	of	of	ADP
ajema-8275	96	20	gwo	gwo	PROPN
ajema-8275	96	21	for	for	ADP
ajema-8275	96	22	msa	msa	PROPN
ajema-8275	97	1	the	the	DET
ajema-8275	97	2	grey	grey	ADJ
ajema-8275	97	3	wolf	wolf	PROPN
ajema-8275	97	4	optimization	optimization	NOUN
ajema-8275	97	5	(	(	PUNCT
ajema-8275	97	6	gwo	gwo	NOUN
ajema-8275	97	7	)	)	PUNCT
ajema-8275	97	8	algorithm	algorithm	NOUN
ajema-8275	97	9	simulates	simulate	VERB
ajema-8275	97	10	the	the	DET
ajema-8275	97	11	leadership	leadership	NOUN
ajema-8275	97	12	structure	structure	NOUN
ajema-8275	97	13	and	and	CCONJ
ajema-8275	97	14	hunting	hunt	VERB
ajema-8275	97	15	strategy	strategy	NOUN
ajema-8275	97	16	of	of	ADP
ajema-8275	97	17	grey	grey	ADJ
ajema-8275	97	18	wolves	wolf	NOUN
ajema-8275	97	19	in	in	ADP
ajema-8275	97	20	nature	nature	NOUN
ajema-8275	97	21	.	.	PUNCT
ajema-8275	98	1	its	its	PRON
ajema-8275	98	2	effectiveness	effectiveness	NOUN
ajema-8275	98	3	in	in	ADP
ajema-8275	98	4	solving	solve	VERB
ajema-8275	98	5	continuous	continuous	ADJ
ajema-8275	98	6	optimization	optimization	NOUN
ajema-8275	98	7	problems	problem	NOUN
ajema-8275	98	8	has	have	AUX
ajema-8275	98	9	led	lead	VERB
ajema-8275	98	10	to	to	ADP
ajema-8275	98	11	its	its	PRON
ajema-8275	98	12	application	application	NOUN
ajema-8275	98	13	in	in	ADP
ajema-8275	98	14	discrete	discrete	ADJ
ajema-8275	98	15	combinatorial	combinatorial	ADJ
ajema-8275	98	16	problems	problem	NOUN
ajema-8275	98	17	like	like	ADP
ajema-8275	98	18	multiple	multiple	ADJ
ajema-8275	98	19	sequence	sequence	NOUN
ajema-8275	98	20	alignment	alignment	NOUN
ajema-8275	98	21	(	(	PUNCT
ajema-8275	98	22	msa	msa	PROPN
ajema-8275	98	23	)	)	PUNCT
ajema-8275	99	1	[	[	X
ajema-8275	99	2	21	21	NUM
ajema-8275	99	3	,	,	PUNCT
ajema-8275	99	4	22	22	NUM
ajema-8275	99	5	]	]	PUNCT
ajema-8275	99	6	.	.	PUNCT
ajema-8275	100	1	in	in	ADP
ajema-8275	100	2	the	the	DET
ajema-8275	100	3	context	context	NOUN
ajema-8275	100	4	of	of	ADP
ajema-8275	100	5	msa	msa	PROPN
ajema-8275	100	6	,	,	PUNCT
ajema-8275	100	7	each	each	DET
ajema-8275	100	8	candidate	candidate	NOUN
ajema-8275	100	9	solution	solution	NOUN
ajema-8275	100	10	(	(	PUNCT
ajema-8275	100	11	or	or	CCONJ
ajema-8275	100	12	wolf	wolf	NOUN
ajema-8275	100	13	)	)	PUNCT
ajema-8275	100	14	represents	represent	VERB
ajema-8275	100	15	a	a	DET
ajema-8275	100	16	potential	potential	ADJ
ajema-8275	100	17	alignment	alignment	NOUN
ajema-8275	100	18	of	of	ADP
ajema-8275	100	19	multiple	multiple	ADJ
ajema-8275	100	20	biological	biological	ADJ
ajema-8275	100	21	sequences	sequence	NOUN
ajema-8275	100	22	.	.	PUNCT
ajema-8275	101	1	the	the	DET
ajema-8275	101	2	method	method	NOUN
ajema-8275	101	3	updates	update	VERB
ajema-8275	101	4	each	each	DET
ajema-8275	101	5	wolf	wolf	NOUN
ajema-8275	101	6	's	's	PART
ajema-8275	101	7	location	location	NOUN
ajema-8275	101	8	in	in	ADP
ajema-8275	101	9	the	the	DET
ajema-8275	101	10	search	search	NOUN
ajema-8275	101	11	space	space	NOUN
ajema-8275	101	12	according	accord	VERB
ajema-8275	101	13	to	to	ADP
ajema-8275	101	14	the	the	DET
ajema-8275	101	15	effect	effect	NOUN
ajema-8275	101	16	of	of	ADP
ajema-8275	101	17	the	the	DET
ajema-8275	101	18	top	top	ADJ
ajema-8275	101	19	three	three	NUM
ajema-8275	101	20	wolves	wolf	NOUN
ajema-8275	101	21	,	,	PUNCT
ajema-8275	101	22	which	which	PRON
ajema-8275	101	23	are	be	AUX
ajema-8275	101	24	referred	refer	VERB
ajema-8275	101	25	to	to	ADP
ajema-8275	101	26	as	as	ADP
ajema-8275	101	27	delta	delta	NOUN
ajema-8275	101	28	(	(	PUNCT
ajema-8275	101	29	δ	δ	PROPN
ajema-8275	101	30	)	)	PUNCT
ajema-8275	101	31	,	,	PUNCT
ajema-8275	101	32	beta	beta	NOUN
ajema-8275	101	33	(	(	PUNCT
ajema-8275	101	34	β	β	NOUN
ajema-8275	101	35	)	)	PUNCT
ajema-8275	101	36	,	,	PUNCT
ajema-8275	101	37	and	and	CCONJ
ajema-8275	101	38	alpha	alpha	NOUN
ajema-8275	101	39	(	(	PUNCT
ajema-8275	101	40	α	α	NOUN
ajema-8275	101	41	)	)	PUNCT
ajema-8275	101	42	.	.	PUNCT
ajema-8275	102	1	in	in	ADP
ajema-8275	102	2	the	the	DET
ajema-8275	102	3	gwo	gwo	PROPN
ajema-8275	102	4	model	model	PROPN
ajema-8275	102	5	,	,	PUNCT
ajema-8275	102	6	the	the	DET
ajema-8275	102	7	position	position	NOUN
ajema-8275	102	8	update	update	NOUN
ajema-8275	102	9	equation	equation	NOUN
ajema-8275	102	10	for	for	ADP
ajema-8275	102	11	each	each	DET
ajema-8275	102	12	search	search	NOUN
ajema-8275	102	13	agent	agent	NOUN
ajema-8275	102	14	(	(	PUNCT
ajema-8275	102	15	candidate	candidate	NOUN
ajema-8275	102	16	solution	solution	NOUN
ajema-8275	102	17	)	)	PUNCT
ajema-8275	102	18	at	at	ADP
ajema-8275	102	19	iteration	iteration	NOUN
ajema-8275	102	20	ttt	ttt	PROPN
ajema-8275	102	21	is	be	AUX
ajema-8275	102	22	given	give	VERB
ajema-8275	102	23	by	by	ADP
ajema-8275	102	24	:	:	PUNCT
ajema-8275	102	25	�	�	PROPN
ajema-8275	102	26	⃗	⃗	NOUN
ajema-8275	102	27	�	�	NOUN
ajema-8275	102	28	(t	(t	ADJ
ajema-8275	102	29	+	+	CCONJ
ajema-8275	102	30	1	1	X
ajema-8275	102	31	)	)	PUNCT
ajema-8275	102	32	=	=	SYM
ajema-8275	102	33	1	1	NUM
ajema-8275	102	34	3	3	NUM
ajema-8275	102	35	(	(	PUNCT
ajema-8275	102	36	�	�	NOUN
ajema-8275	102	37	⃗	⃗	NOUN
ajema-8275	102	38	�	�	ADP
ajema-8275	102	39	𝛼	𝛼	ADJ
ajema-8275	102	40	+	+	PROPN
ajema-8275	102	41	�	�	PROPN
ajema-8275	102	42	⃗	⃗	NOUN
ajema-8275	102	43	�	�	PROPN
ajema-8275	102	44	𝛽	𝛽	PROPN
ajema-8275	102	45	+	+	NUM
ajema-8275	102	46	�	�	PROPN
ajema-8275	102	47	⃗	⃗	NOUN
ajema-8275	102	48	�	�	NOUN
ajema-8275	102	49	𝛿	𝛿	NOUN
ajema-8275	102	50	)	)	PUNCT
ajema-8275	102	51	where	where	SCONJ
ajema-8275	102	52	:	:	PUNCT
ajema-8275	102	53	➢	➢	VERB
ajema-8275	102	54	�	�	PROPN
ajema-8275	102	55	⃗	⃗	NOUN
ajema-8275	102	56	�	�	NOUN
ajema-8275	102	57	(t	(t	ADJ
ajema-8275	102	58	+	+	CCONJ
ajema-8275	102	59	1	1	X
ajema-8275	102	60	)	)	PUNCT
ajema-8275	102	61	is	be	AUX
ajema-8275	102	62	the	the	DET
ajema-8275	102	63	updated	update	VERB
ajema-8275	102	64	position	position	NOUN
ajema-8275	102	65	of	of	ADP
ajema-8275	102	66	the	the	DET
ajema-8275	102	67	wolf	wolf	NOUN
ajema-8275	102	68	,	,	PUNCT
ajema-8275	102	69	➢	➢	VERB
ajema-8275	102	70	�	�	NOUN
ajema-8275	102	71	⃗	⃗	NOUN
ajema-8275	102	72	�	�	NOUN
ajema-8275	102	73	𝛼	𝛼	NOUN
ajema-8275	102	74	,	,	PUNCT
ajema-8275	102	75	�	�	PROPN
ajema-8275	102	76	⃗	⃗	NOUN
ajema-8275	102	77	�	�	PROPN
ajema-8275	102	78	𝛽	𝛽	PROPN
ajema-8275	102	79	,	,	PUNCT
ajema-8275	102	80	�	�	PROPN
ajema-8275	102	81	⃗	⃗	NOUN
ajema-8275	102	82	�	�	NOUN
ajema-8275	102	83	𝛿	𝛿	NOUN
ajema-8275	102	84	are	be	AUX
ajema-8275	102	85	the	the	DET
ajema-8275	102	86	positions	position	NOUN
ajema-8275	102	87	or	or	CCONJ
ajema-8275	102	88	location	location	NOUN
ajema-8275	102	89	of	of	ADP
ajema-8275	102	90	the	the	DET
ajema-8275	102	91	top	top	ADJ
ajema-8275	102	92	three	three	NUM
ajema-8275	102	93	wolves	wolf	NOUN
ajema-8275	102	94	(	(	PUNCT
ajema-8275	102	95	best	good	ADJ
ajema-8275	102	96	solutions	solution	NOUN
ajema-8275	102	97	found	find	VERB
ajema-8275	102	98	so	so	ADV
ajema-8275	102	99	far	far	ADV
ajema-8275	102	100	)	)	PUNCT
ajema-8275	102	101	,	,	PUNCT
ajema-8275	102	102	➢	➢	VERB
ajema-8275	102	103	the	the	DET
ajema-8275	102	104	average	average	ADJ
ajema-8275	102	105	guides	guide	VERB
ajema-8275	102	106	the	the	DET
ajema-8275	102	107	movement	movement	NOUN
ajema-8275	102	108	toward	toward	ADP
ajema-8275	102	109	the	the	DET
ajema-8275	102	110	global	global	ADJ
ajema-8275	102	111	optimum	optimum	NOUN
ajema-8275	102	112	.	.	PUNCT
ajema-8275	103	1	to	to	PART
ajema-8275	103	2	compute	compute	VERB
ajema-8275	103	3	the	the	DET
ajema-8275	103	4	location	location	NOUN
ajema-8275	103	5	of	of	ADP
ajema-8275	103	6	�	�	PROPN
ajema-8275	103	7	⃗	⃗	NOUN
ajema-8275	103	8	�	�	NOUN
ajema-8275	103	9	𝛼	𝛼	NOUN
ajema-8275	103	10	,	,	PUNCT
ajema-8275	103	11	�	�	PROPN
ajema-8275	103	12	⃗	⃗	NOUN
ajema-8275	103	13	�	�	PROPN
ajema-8275	103	14	𝛽	𝛽	PROPN
ajema-8275	103	15	,	,	PUNCT
ajema-8275	103	16	�	�	PROPN
ajema-8275	103	17	⃗	⃗	NOUN
ajema-8275	103	18	�	�	NOUN
ajema-8275	103	19	𝛿	𝛿	ADJ
ajema-8275	103	20	the	the	DET
ajema-8275	103	21	algorithm	algorithm	NOUN
ajema-8275	103	22	models	model	NOUN
ajema-8275	103	23	encircling	encircle	VERB
ajema-8275	103	24	behavior	behavior	NOUN
ajema-8275	103	25	using	use	VERB
ajema-8275	103	26	two	two	NUM
ajema-8275	103	27	vectors	vector	NOUN
ajema-8275	103	28	,	,	PUNCT
ajema-8275	103	29	𝐴,⃗⃗⃗⃗	𝐴,⃗⃗⃗⃗	PROPN
ajema-8275	103	30	and	and	CCONJ
ajema-8275	103	31	𝐶	𝐶	PROPN
ajema-8275	103	32	,	,	PUNCT
ajema-8275	103	33	defined	define	VERB
ajema-8275	103	34	as	as	ADP
ajema-8275	103	35	:	:	PUNCT
ajema-8275	103	36	𝐴	𝐴	NOUN
ajema-8275	103	37	=	=	SYM
ajema-8275	103	38	2	2	NUM
ajema-8275	103	39	∙	∙	PROPN
ajema-8275	103	40	�	�	NOUN
ajema-8275	103	41	⃗	⃗	NOUN
ajema-8275	103	42	�	�	PROPN
ajema-8275	103	43	∙	∙	PROPN
ajema-8275	103	44	𝑟1	𝑟1	PROPN
ajema-8275	103	45	−	−	PROPN
ajema-8275	103	46	�	�	PROPN
ajema-8275	103	47	⃗	⃗	NOUN
ajema-8275	103	48	�	�	PROPN
ajema-8275	103	49	,	,	PUNCT
ajema-8275	103	50	𝐶	𝐶	NOUN
ajema-8275	103	51	=	=	SYM
ajema-8275	103	52	2	2	NUM
ajema-8275	103	53	∙	∙	PROPN
ajema-8275	103	54	𝑟1	𝑟1	NOUN
ajema-8275	103	55	where	where	SCONJ
ajema-8275	103	56	:	:	PUNCT
ajema-8275	103	57	➢	➢	PROPN
ajema-8275	103	58	𝑟1	𝑟1	PROPN
ajema-8275	103	59	,	,	PUNCT
ajema-8275	103	60	𝑟2	𝑟2	NOUN
ajema-8275	103	61	are	be	AUX
ajema-8275	103	62	random	random	ADJ
ajema-8275	103	63	vectors	vector	NOUN
ajema-8275	103	64	in	in	ADP
ajema-8275	103	65	the	the	DET
ajema-8275	103	66	range	range	NOUN
ajema-8275	103	67	[	[	X
ajema-8275	103	68	0	0	NUM
ajema-8275	103	69	,	,	PUNCT
ajema-8275	103	70	1	1	NUM
ajema-8275	103	71	]	]	PUNCT
ajema-8275	103	72	,	,	PUNCT
ajema-8275	103	73	➢	➢	X
ajema-8275	103	74	�	�	NOUN
ajema-8275	103	75	⃗	⃗	NOUN
ajema-8275	103	76	�	�	PROPN
ajema-8275	103	77	is	be	AUX
ajema-8275	103	78	a	a	DET
ajema-8275	103	79	parameter	parameter	NOUN
ajema-8275	103	80	linearly	linearly	ADV
ajema-8275	103	81	decreasing	decrease	VERB
ajema-8275	103	82	from	from	ADP
ajema-8275	103	83	2	2	NUM
ajema-8275	103	84	to	to	ADP
ajema-8275	103	85	0	0	NUM
ajema-8275	103	86	over	over	ADP
ajema-8275	103	87	iterations	iteration	NOUN
ajema-8275	103	88	,	,	PUNCT
ajema-8275	103	89	defined	define	VERB
ajema-8275	103	90	as	as	ADP
ajema-8275	103	91	:	:	PUNCT
ajema-8275	103	92	44	44	NUM
ajema-8275	103	93	journal	journal	NOUN
ajema-8275	103	94	of	of	ADP
ajema-8275	103	95	engineering	engineering	NOUN
ajema-8275	103	96	,	,	PUNCT
ajema-8275	103	97	mechanics	mechanic	NOUN
ajema-8275	103	98	and	and	CCONJ
ajema-8275	103	99	architecture	architecture	NOUN
ajema-8275	103	100	www	www	NOUN
ajema-8275	103	101	.	.	PUNCT
ajema-8275	104	1	grnjournal.us	grnjournal.us	X
ajema-8275	104	2	�	�	PROPN
ajema-8275	104	3	⃗	⃗	NOUN
ajema-8275	104	4	�	�	NOUN
ajema-8275	104	5	=	=	SYM
ajema-8275	104	6	2	2	NUM
ajema-8275	104	7	−	−	NOUN
ajema-8275	104	8	2𝑡	2𝑡	NOUN
ajema-8275	104	9	𝑇𝑀𝑎𝑥	𝑇𝑀𝑎𝑥	PROPN
ajema-8275	104	10	here	here	ADV
ajema-8275	104	11	,	,	PUNCT
ajema-8275	104	12	t	t	PROPN
ajema-8275	104	13	is	be	AUX
ajema-8275	104	14	the	the	DET
ajema-8275	104	15	current	current	ADJ
ajema-8275	104	16	iteration	iteration	NOUN
ajema-8275	104	17	,	,	PUNCT
ajema-8275	104	18	and	and	CCONJ
ajema-8275	104	19	𝑇𝑀𝑎𝑥	𝑇𝑀𝑎𝑥	PROPN
ajema-8275	104	20	is	be	AUX
ajema-8275	104	21	the	the	DET
ajema-8275	104	22	highest	high	ADJ
ajema-8275	104	23	number	number	NOUN
ajema-8275	104	24	of	of	ADP
ajema-8275	104	25	iterations	iteration	NOUN
ajema-8275	104	26	.	.	PUNCT
ajema-8275	105	1	this	this	DET
ajema-8275	105	2	adaptive	adaptive	ADJ
ajema-8275	105	3	parameter	parameter	NOUN
ajema-8275	105	4	controls	control	VERB
ajema-8275	105	5	the	the	DET
ajema-8275	105	6	exploration	exploration	NOUN
ajema-8275	105	7	-	-	PUNCT
ajema-8275	105	8	exploitation	exploitation	NOUN
ajema-8275	105	9	trade	trade	NOUN
ajema-8275	105	10	-	-	PUNCT
ajema-8275	105	11	off	off	NOUN
ajema-8275	105	12	.	.	PUNCT
ajema-8275	106	1	in	in	ADP
ajema-8275	106	2	early	early	ADJ
ajema-8275	106	3	stages	stage	NOUN
ajema-8275	106	4	,	,	PUNCT
ajema-8275	106	5	higher	high	ADJ
ajema-8275	106	6	values	value	NOUN
ajema-8275	106	7	of	of	ADP
ajema-8275	106	8	�	�	NOUN
ajema-8275	106	9	⃗	⃗	NOUN
ajema-8275	106	10	�	�	PROPN
ajema-8275	106	11	encourage	encourage	VERB
ajema-8275	106	12	exploration	exploration	NOUN
ajema-8275	106	13	of	of	ADP
ajema-8275	106	14	the	the	DET
ajema-8275	106	15	search	search	NOUN
ajema-8275	106	16	space	space	NOUN
ajema-8275	106	17	,	,	PUNCT
ajema-8275	106	18	while	while	SCONJ
ajema-8275	106	19	in	in	ADP
ajema-8275	106	20	later	later	ADJ
ajema-8275	106	21	stages	stage	NOUN
ajema-8275	106	22	,	,	PUNCT
ajema-8275	106	23	smaller	small	ADJ
ajema-8275	106	24	values	value	NOUN
ajema-8275	106	25	promote	promote	VERB
ajema-8275	106	26	convergence	convergence	NOUN
ajema-8275	106	27	to	to	ADP
ajema-8275	106	28	the	the	DET
ajema-8275	106	29	best	good	ADJ
ajema-8275	106	30	solutions	solution	NOUN
ajema-8275	106	31	.	.	PUNCT
ajema-8275	107	1	eavery	eavery	PROPN
ajema-8275	107	2	wolf	wolf	PROPN
ajema-8275	107	3	updates	update	VERB
ajema-8275	107	4	its	its	PRON
ajema-8275	107	5	location	location	NOUN
ajema-8275	107	6	relative	relative	ADJ
ajema-8275	107	7	to	to	ADP
ajema-8275	107	8	the	the	DET
ajema-8275	107	9	prey	prey	NOUN
ajema-8275	107	10	(	(	PUNCT
ajema-8275	107	11	best	good	ADJ
ajema-8275	107	12	solution	solution	NOUN
ajema-8275	107	13	)	)	PUNCT
ajema-8275	107	14	utilizing	utilize	VERB
ajema-8275	107	15	the	the	DET
ajema-8275	107	16	following	follow	VERB
ajema-8275	107	17	rule	rule	NOUN
ajema-8275	107	18	:	:	PUNCT
ajema-8275	107	19	�	�	PROPN
ajema-8275	107	20	⃗⃗⃗	⃗⃗⃗	PROPN
ajema-8275	107	21	�	�	NOUN
ajema-8275	107	22	𝛼	𝛼	PRON
ajema-8275	107	23	=	=	ADJ
ajema-8275	108	1	∣	∣	ADJ
ajema-8275	108	2	𝐶1	𝐶1	ADJ
ajema-8275	108	3	∙	∙	PROPN
ajema-8275	108	4	�	�	PROPN
ajema-8275	108	5	⃗	⃗	NOUN
ajema-8275	108	6	�	�	PROPN
ajema-8275	108	7	𝑎	𝑎	DET
ajema-8275	108	8	−	−	PROPN
ajema-8275	108	9	�	�	NOUN
ajema-8275	108	10	⃗	⃗	NOUN
ajema-8275	108	11	�	�	PROPN
ajema-8275	108	12	∣	∣	PROPN
ajema-8275	108	13	,	,	PUNCT
ajema-8275	108	14	�	�	PROPN
ajema-8275	108	15	⃗	⃗	NOUN
ajema-8275	108	16	�	�	ADJ
ajema-8275	108	17	1	1	NUM
ajema-8275	108	18	=	=	SYM
ajema-8275	108	19	�	�	PROPN
ajema-8275	108	20	⃗	⃗	NOUN
ajema-8275	108	21	�	�	PROPN
ajema-8275	108	22	−	−	PROPN
ajema-8275	108	23	𝐴1	𝐴1	PROPN
ajema-8275	108	24	∙	∙	PROPN
ajema-8275	108	25	�	�	PROPN
ajema-8275	108	26	⃗⃗⃗	⃗⃗⃗	PROPN
ajema-8275	108	27	�	�	PROPN
ajema-8275	108	28	𝑎	𝑎	NOUN
ajema-8275	108	29	�	�	PROPN
ajema-8275	108	30	⃗⃗⃗	⃗⃗⃗	NOUN
ajema-8275	108	31	�	�	ADP
ajema-8275	108	32	𝛽	𝛽	NOUN
ajema-8275	108	33	=	=	NOUN
ajema-8275	108	34	∣	∣	ADJ
ajema-8275	108	35	𝐶2	𝐶2	ADJ
ajema-8275	108	36	∙	∙	PROPN
ajema-8275	108	37	�	�	PROPN
ajema-8275	108	38	⃗	⃗	PROPN
ajema-8275	108	39	�	�	PROPN
ajema-8275	108	40	𝛽	𝛽	NOUN
ajema-8275	108	41	−	−	PROPN
ajema-8275	108	42	�	�	PROPN
ajema-8275	108	43	⃗	⃗	NOUN
ajema-8275	108	44	�	�	PROPN
ajema-8275	108	45	∣	∣	PROPN
ajema-8275	108	46	,	,	PUNCT
ajema-8275	108	47	�	�	PROPN
ajema-8275	108	48	⃗	⃗	NOUN
ajema-8275	108	49	�	�	ADJ
ajema-8275	108	50	2	2	NUM
ajema-8275	108	51	=	=	SYM
ajema-8275	108	52	�	�	PROPN
ajema-8275	108	53	⃗	⃗	NOUN
ajema-8275	108	54	�	�	PROPN
ajema-8275	108	55	𝛽	𝛽	NOUN
ajema-8275	108	56	−	−	NOUN
ajema-8275	108	57	𝐴2	𝐴2	PROPN
ajema-8275	108	58	∙	∙	PROPN
ajema-8275	108	59	�	�	PROPN
ajema-8275	108	60	⃗⃗⃗	⃗⃗⃗	PROPN
ajema-8275	108	61	�	�	PROPN
ajema-8275	108	62	𝛽	𝛽	PROPN
ajema-8275	108	63	�	�	PROPN
ajema-8275	108	64	⃗⃗⃗	⃗⃗⃗	NOUN
ajema-8275	108	65	�	�	NOUN
ajema-8275	108	66	𝛿	𝛿	ADJ
ajema-8275	108	67	=	=	ADJ
ajema-8275	108	68	∣	∣	ADJ
ajema-8275	108	69	𝐶3	𝐶3	ADJ
ajema-8275	108	70	∙	∙	PROPN
ajema-8275	108	71	�	�	PROPN
ajema-8275	108	72	⃗	⃗	NOUN
ajema-8275	108	73	�	�	PROPN
ajema-8275	108	74	𝛿	𝛿	ADJ
ajema-8275	108	75	−	−	PROPN
ajema-8275	108	76	�	�	PROPN
ajema-8275	108	77	⃗	⃗	NOUN
ajema-8275	108	78	�	�	PROPN
ajema-8275	108	79	∣	∣	PROPN
ajema-8275	108	80	,	,	PUNCT
ajema-8275	108	81	�	�	PROPN
ajema-8275	108	82	⃗	⃗	NOUN
ajema-8275	108	83	�	�	ADJ
ajema-8275	108	84	3	3	NUM
ajema-8275	108	85	=	=	SYM
ajema-8275	108	86	�	�	PROPN
ajema-8275	108	87	⃗	⃗	NOUN
ajema-8275	108	88	�	�	NOUN
ajema-8275	108	89	𝛿	𝛿	ADJ
ajema-8275	108	90	−	−	PROPN
ajema-8275	108	91	𝐴3	𝐴3	PROPN
ajema-8275	108	92	∙	∙	PROPN
ajema-8275	108	93	�	�	PROPN
ajema-8275	108	94	⃗⃗⃗	⃗⃗⃗	PROPN
ajema-8275	108	95	�	�	PRON
ajema-8275	108	96	𝛿	𝛿	NOUN
ajema-8275	108	97	then	then	ADV
ajema-8275	108	98	,	,	PUNCT
ajema-8275	108	99	the	the	DET
ajema-8275	108	100	new	new	ADJ
ajema-8275	108	101	position	position	NOUN
ajema-8275	108	102	is	be	AUX
ajema-8275	108	103	the	the	DET
ajema-8275	108	104	average	average	ADJ
ajema-8275	108	105	:	:	PUNCT
ajema-8275	108	106	�	�	PROPN
ajema-8275	108	107	⃗	⃗	NOUN
ajema-8275	108	108	�	�	NOUN
ajema-8275	108	109	(t	(t	ADJ
ajema-8275	108	110	+	+	CCONJ
ajema-8275	108	111	1	1	X
ajema-8275	108	112	)	)	PUNCT
ajema-8275	108	113	=	=	SYM
ajema-8275	108	114	1	1	NUM
ajema-8275	108	115	3	3	NUM
ajema-8275	108	116	(	(	PUNCT
ajema-8275	108	117	�	�	NOUN
ajema-8275	108	118	⃗	⃗	NOUN
ajema-8275	108	119	�	�	NOUN
ajema-8275	108	120	1	1	NUM
ajema-8275	108	121	+	+	NUM
ajema-8275	108	122	�	�	PROPN
ajema-8275	108	123	⃗	⃗	NOUN
ajema-8275	108	124	�	�	ADJ
ajema-8275	108	125	2	2	NUM
ajema-8275	108	126	+	+	NUM
ajema-8275	108	127	�	�	PROPN
ajema-8275	108	128	⃗	⃗	NOUN
ajema-8275	108	129	�	�	NOUN
ajema-8275	108	130	3	3	NUM
ajema-8275	108	131	)	)	PUNCT
ajema-8275	108	132	in	in	ADP
ajema-8275	108	133	the	the	DET
ajema-8275	108	134	context	context	NOUN
ajema-8275	108	135	of	of	ADP
ajema-8275	108	136	msa	msa	PROPN
ajema-8275	108	137	,	,	PUNCT
ajema-8275	108	138	each	each	DET
ajema-8275	108	139	position	position	NOUN
ajema-8275	108	140	�	�	NOUN
ajema-8275	108	141	⃗	⃗	NOUN
ajema-8275	108	142	�	�	PROPN
ajema-8275	108	143	is	be	AUX
ajema-8275	108	144	encoded	encode	VERB
ajema-8275	108	145	as	as	ADP
ajema-8275	108	146	an	an	DET
ajema-8275	108	147	n×𝐿𝑀𝑎𝑥	n×𝐿𝑀𝑎𝑥	ADJ
ajema-8275	108	148	matrix	matrix	NOUN
ajema-8275	108	149	,	,	PUNCT
ajema-8275	108	150	where	where	SCONJ
ajema-8275	108	151	:	:	PUNCT
ajema-8275	108	152	➢	➢	X
ajema-8275	108	153	n	n	NOUN
ajema-8275	108	154	is	be	AUX
ajema-8275	108	155	the	the	DET
ajema-8275	108	156	number	number	NOUN
ajema-8275	108	157	of	of	ADP
ajema-8275	108	158	input	input	NOUN
ajema-8275	108	159	sequences	sequence	NOUN
ajema-8275	108	160	,	,	PUNCT
ajema-8275	108	161	➢	➢	NOUN
ajema-8275	109	1	𝐿𝑀𝑎𝑥is	𝐿𝑀𝑎𝑥is	PROPN
ajema-8275	109	2	the	the	DET
ajema-8275	109	3	maximum	maximum	ADJ
ajema-8275	109	4	alignment	alignment	NOUN
ajema-8275	109	5	length	length	NOUN
ajema-8275	109	6	(	(	PUNCT
ajema-8275	109	7	including	include	VERB
ajema-8275	109	8	gaps	gap	NOUN
ajema-8275	109	9	)	)	PUNCT
ajema-8275	109	10	,	,	PUNCT
ajema-8275	109	11	➢	➢	VERB
ajema-8275	109	12	the	the	DET
ajema-8275	109	13	fitness	fitness	NOUN
ajema-8275	109	14	function	function	PROPN
ajema-8275	109	15	f(p	f(p	PROPN
ajema-8275	109	16	)	)	PUNCT
ajema-8275	109	17	evaluates	evaluate	VERB
ajema-8275	109	18	the	the	DET
ajema-8275	109	19	alignment	alignment	NOUN
ajema-8275	109	20	quality	quality	NOUN
ajema-8275	109	21	using	use	VERB
ajema-8275	109	22	a	a	DET
ajema-8275	109	23	score	score	NOUN
ajema-8275	109	24	such	such	ADJ
ajema-8275	109	25	as	as	ADP
ajema-8275	109	26	sum	sum	NOUN
ajema-8275	109	27	-	-	PUNCT
ajema-8275	109	28	of	of	ADP
ajema-8275	109	29	-	-	PUNCT
ajema-8275	109	30	pairs	pair	NOUN
ajema-8275	109	31	with	with	ADP
ajema-8275	109	32	affine	affine	NOUN
ajema-8275	109	33	gap	gap	NOUN
ajema-8275	109	34	penalties	penalty	NOUN
ajema-8275	109	35	:	:	PUNCT
ajema-8275	109	36	𝐟(𝐏	𝐟(𝐏	NUM
ajema-8275	109	37	)	)	PUNCT
ajema-8275	110	1	=	=	PUNCT
ajema-8275	110	2	∑	∑	PUNCT
ajema-8275	110	3	∑	∑	PROPN
ajema-8275	110	4	s(𝑆𝑖	s(𝑆𝑖	PROPN
ajema-8275	110	5	,	,	PUNCT
ajema-8275	110	6	𝑆𝑗	𝑆𝑗	PROPN
ajema-8275	110	7	)	)	PUNCT
ajema-8275	111	1	−	−	PROPN
ajema-8275	112	1	λ	λ	PROPN
ajema-8275	112	2	⋅	⋅	X
ajema-8275	112	3	g	g	PROPN
ajema-8275	112	4	𝑁	𝑁	PROPN
ajema-8275	112	5	𝑗=𝑖+1	𝑗=𝑖+1	PROPN
ajema-8275	112	6	n−1	n−1	PROPN
ajema-8275	112	7	𝑖−1	𝑖−1	PROPN
ajema-8275	112	8	where	where	SCONJ
ajema-8275	112	9	s(𝑆𝑖	s(𝑆𝑖	PROPN
ajema-8275	112	10	,	,	PUNCT
ajema-8275	112	11	𝑆𝑗	𝑆𝑗	PROPN
ajema-8275	112	12	)	)	PUNCT
ajema-8275	112	13	is	be	AUX
ajema-8275	112	14	the	the	DET
ajema-8275	112	15	pairwise	pairwise	NOUN
ajema-8275	112	16	alignment	alignment	NOUN
ajema-8275	112	17	score	score	NOUN
ajema-8275	112	18	,	,	PUNCT
ajema-8275	112	19	g	g	PROPN
ajema-8275	112	20	represents	represent	VERB
ajema-8275	112	21	the	the	DET
ajema-8275	112	22	total	total	ADJ
ajema-8275	112	23	number	number	NOUN
ajema-8275	112	24	of	of	ADP
ajema-8275	112	25	gaps	gap	NOUN
ajema-8275	112	26	,	,	PUNCT
ajema-8275	112	27	and	and	CCONJ
ajema-8275	112	28	λ	λ	PROPN
ajema-8275	112	29	is	be	AUX
ajema-8275	112	30	the	the	DET
ajema-8275	112	31	gap	gap	NOUN
ajema-8275	112	32	penalty	penalty	NOUN
ajema-8275	112	33	coefficient	coefficient	NOUN
ajema-8275	112	34	.	.	PUNCT
ajema-8275	113	1	this	this	DET
ajema-8275	113	2	mathematical	mathematical	ADJ
ajema-8275	113	3	formulation	formulation	NOUN
ajema-8275	113	4	empowers	empower	NOUN
ajema-8275	113	5	gwo	gwo	VERB
ajema-8275	113	6	to	to	PART
ajema-8275	113	7	handle	handle	VERB
ajema-8275	113	8	the	the	DET
ajema-8275	113	9	high	high	ADV
ajema-8275	113	10	-	-	PUNCT
ajema-8275	113	11	dimensional	dimensional	ADJ
ajema-8275	113	12	and	and	CCONJ
ajema-8275	113	13	symbolic	symbolic	ADJ
ajema-8275	113	14	nature	nature	NOUN
ajema-8275	113	15	of	of	ADP
ajema-8275	113	16	msa	msa	PROPN
ajema-8275	113	17	problems	problem	NOUN
ajema-8275	113	18	efficiently	efficiently	ADV
ajema-8275	113	19	,	,	PUNCT
ajema-8275	113	20	balancing	balance	VERB
ajema-8275	113	21	exploration	exploration	NOUN
ajema-8275	113	22	(	(	PUNCT
ajema-8275	113	23	diverse	diverse	ADJ
ajema-8275	113	24	alignments	alignment	NOUN
ajema-8275	113	25	)	)	PUNCT
ajema-8275	113	26	and	and	CCONJ
ajema-8275	113	27	exploitation	exploitation	NOUN
ajema-8275	113	28	(	(	PUNCT
ajema-8275	113	29	refining	refine	VERB
ajema-8275	113	30	promising	promising	ADJ
ajema-8275	113	31	alignments	alignment	NOUN
ajema-8275	113	32	)	)	PUNCT
ajema-8275	113	33	.	.	PUNCT
ajema-8275	114	1	mathematical	mathematical	ADJ
ajema-8275	114	2	formulation	formulation	NOUN
ajema-8275	114	3	for	for	ADP
ajema-8275	114	4	msa	msa	PROPN
ajema-8275	114	5	using	use	VERB
ajema-8275	114	6	gwo	gwo	PROPN
ajema-8275	114	7	:	:	PUNCT
ajema-8275	114	8	let	let	AUX
ajema-8275	114	9	:	:	PUNCT
ajema-8275	114	10	➢	➢	AUX
ajema-8275	114	11	nbe	nbe	VERB
ajema-8275	114	12	the	the	DET
ajema-8275	114	13	number	number	NOUN
ajema-8275	114	14	of	of	ADP
ajema-8275	114	15	sequences	sequence	NOUN
ajema-8275	114	16	➢	➢	VERB
ajema-8275	114	17	s={s1,s2,	s={s1,s2,	NOUN
ajema-8275	114	18	...	...	PUNCT
ajema-8275	114	19	,sn	,sn	PUNCT
ajema-8275	114	20	}	}	PUNCT
ajema-8275	114	21	denote	denote	VERB
ajema-8275	114	22	the	the	DET
ajema-8275	114	23	set	set	NOUN
ajema-8275	114	24	of	of	ADP
ajema-8275	114	25	input	input	NOUN
ajema-8275	114	26	sequences	sequence	NOUN
ajema-8275	114	27	➢	➢	VERB
ajema-8275	114	28	lmax	lmax	NOUN
ajema-8275	114	29	be	be	AUX
ajema-8275	114	30	the	the	DET
ajema-8275	114	31	maximum	maximum	ADJ
ajema-8275	114	32	length	length	NOUN
ajema-8275	114	33	after	after	ADP
ajema-8275	114	34	alignment	alignment	NOUN
ajema-8275	114	35	➢	➢	NOUN
ajema-8275	114	36	xi={xi1,xi2,	xi={xi1,xi2,	NUM
ajema-8275	114	37	...	...	PUNCT
ajema-8275	114	38	,xilmax	,xilmax	PUNCT
ajema-8275	114	39	}	}	PUNCT
ajema-8275	114	40	represent	represent	VERB
ajema-8275	114	41	an	an	DET
ajema-8275	114	42	aligned	aligned	ADJ
ajema-8275	114	43	version	version	NOUN
ajema-8275	114	44	of	of	ADP
ajema-8275	114	45	sequence	sequence	NOUN
ajema-8275	114	46	sis_isi	sis_isi	VERB
ajema-8275	114	47	➢	➢	NOUN
ajema-8275	114	48	pbe	pbe	VERB
ajema-8275	114	49	a	a	DET
ajema-8275	114	50	solution	solution	NOUN
ajema-8275	114	51	(	(	PUNCT
ajema-8275	114	52	i.e.	i.e.	X
ajema-8275	114	53	,	,	PUNCT
ajema-8275	114	54	a	a	DET
ajema-8275	114	55	candidate	candidate	NOUN
ajema-8275	114	56	alignment	alignment	NOUN
ajema-8275	114	57	of	of	ADP
ajema-8275	114	58	all	all	PRON
ajema-8275	114	59	n	n	PRON
ajema-8275	114	60	sequences	sequence	NOUN
ajema-8275	114	61	)	)	PUNCT
ajema-8275	114	62	➢	➢	NOUN
ajema-8275	114	63	f(p	f(p	NOUN
ajema-8275	114	64	)	)	PUNCT
ajema-8275	114	65	be	be	VERB
ajema-8275	114	66	the	the	DET
ajema-8275	114	67	fitness	fitness	NOUN
ajema-8275	114	68	function	function	NOUN
ajema-8275	114	69	evaluating	evaluate	VERB
ajema-8275	114	70	alignment	alignment	ADJ
ajema-8275	114	71	quality	quality	NOUN
ajema-8275	114	72	(	(	PUNCT
ajema-8275	114	73	e.g.	e.g.	ADV
ajema-8275	114	74	,	,	PUNCT
ajema-8275	114	75	sum	sum	NOUN
ajema-8275	114	76	-	-	PUNCT
ajema-8275	114	77	of	of	ADP
ajema-8275	114	78	-	-	PUNCT
ajema-8275	114	79	pairs	pair	NOUN
ajema-8275	114	80	score	score	NOUN
ajema-8275	114	81	or	or	CCONJ
ajema-8275	114	82	affine	affine	NOUN
ajema-8275	114	83	gap	gap	NOUN
ajema-8275	114	84	score	score	NOUN
ajema-8275	114	85	)	)	PUNCT
ajema-8275	114	86	the	the	DET
ajema-8275	114	87	wolf	wolf	PROPN
ajema-8275	114	88	positions	position	NOUN
ajema-8275	114	89	(	(	PUNCT
ajema-8275	114	90	candidate	candidate	NOUN
ajema-8275	114	91	alignments	alignment	NOUN
ajema-8275	114	92	)	)	PUNCT
ajema-8275	114	93	are	be	AUX
ajema-8275	114	94	encoded	encode	VERB
ajema-8275	114	95	as	as	ADP
ajema-8275	114	96	matrices	matrix	NOUN
ajema-8275	114	97	of	of	ADP
ajema-8275	114	98	dimension	dimension	NOUN
ajema-8275	114	99	n×lmax	n×lmax	PROPN
ajema-8275	114	100	and	and	CCONJ
ajema-8275	114	101	the	the	DET
ajema-8275	114	102	position	position	NOUN
ajema-8275	114	103	update	update	NOUN
ajema-8275	114	104	is	be	AUX
ajema-8275	114	105	defined	define	VERB
ajema-8275	114	106	mathematically	mathematically	ADV
ajema-8275	114	107	as	as	SCONJ
ajema-8275	114	108	:	:	PUNCT
ajema-8275	114	109	final	final	ADJ
ajema-8275	114	110	position	position	NOUN
ajema-8275	114	111	is	be	AUX
ajema-8275	114	112	updated	update	VERB
ajema-8275	114	113	by	by	ADP
ajema-8275	114	114	averaging	average	VERB
ajema-8275	114	115	the	the	DET
ajema-8275	114	116	influence	influence	NOUN
ajema-8275	114	117	of	of	ADP
ajema-8275	114	118	top	top	ADJ
ajema-8275	114	119	wolves	wolf	NOUN
ajema-8275	114	120	:	:	PUNCT
ajema-8275	114	121	x(t	x(t	PROPN
ajema-8275	114	122	+	+	CCONJ
ajema-8275	114	123	1	1	X
ajema-8275	114	124	)	)	PUNCT
ajema-8275	114	125	≡	≡	PROPN
ajema-8275	114	126	x1	x1	PROPN
ajema-8275	115	1	+	+	CCONJ
ajema-8275	115	2	x2	x2	PROPN
ajema-8275	116	1	+	+	CCONJ
ajema-8275	116	2	x3	x3	ADJ
ajema-8275	116	3	3	3	NUM
ajema-8275	116	4	45	45	NUM
ajema-8275	116	5	journal	journal	NOUN
ajema-8275	116	6	of	of	ADP
ajema-8275	116	7	engineering	engineering	NOUN
ajema-8275	116	8	,	,	PUNCT
ajema-8275	116	9	mechanics	mechanic	NOUN
ajema-8275	116	10	and	and	CCONJ
ajema-8275	116	11	architecture	architecture	NOUN
ajema-8275	116	12	www	www	NOUN
ajema-8275	116	13	.	.	PUNCT
ajema-8275	117	1	grnjournal.us	grnjournal.us	X
ajema-8275	117	2	here	here	ADV
ajema-8275	117	3	,	,	PUNCT
ajema-8275	117	4	vectors	vector	NOUN
ajema-8275	117	5	a	a	PRON
ajema-8275	117	6	and	and	CCONJ
ajema-8275	117	7	c	c	NOUN
ajema-8275	117	8	control	control	NOUN
ajema-8275	117	9	exploration	exploration	NOUN
ajema-8275	117	10	and	and	CCONJ
ajema-8275	117	11	exploitation	exploitation	NOUN
ajema-8275	117	12	,	,	PUNCT
ajema-8275	117	13	defined	define	VERB
ajema-8275	117	14	as	as	ADP
ajema-8275	117	15	:	:	PUNCT
ajema-8275	117	16	a	a	DET
ajema-8275	117	17	=	=	PUNCT
ajema-8275	117	18	2a	2a	NUM
ajema-8275	117	19	⋅	⋅	PROPN
ajema-8275	117	20	r1	r1	PROPN
ajema-8275	117	21	−	−	PROPN
ajema-8275	118	1	a	a	PROPN
ajema-8275	118	2	,	,	PUNCT
ajema-8275	118	3	c	c	NOUN
ajema-8275	118	4	=	=	SYM
ajema-8275	118	5	2	2	NUM
ajema-8275	118	6	⋅	⋅	PROPN
ajema-8275	118	7	r2	r2	PROPN
ajema-8275	118	8	where	where	SCONJ
ajema-8275	118	9	𝒓𝟏	𝒓𝟏	PROPN
ajema-8275	118	10	,	,	PUNCT
ajema-8275	118	11	𝒓𝟐	𝒓𝟐	PROPN
ajema-8275	118	12	∈	∈	PROPN
ajema-8275	119	1	[	[	X
ajema-8275	119	2	𝟎	𝟎	NUM
ajema-8275	119	3	,	,	PUNCT
ajema-8275	119	4	𝟏	𝟏	NUM
ajema-8275	119	5	]	]	X
ajema-8275	119	6	random	random	ADJ
ajema-8275	119	7	vectors	vector	NOUN
ajema-8275	119	8	and	and	CCONJ
ajema-8275	119	9	a⃗	a⃗	NOUN
ajema-8275	119	10	decreases	decrease	NOUN
ajema-8275	119	11	in	in	ADP
ajema-8275	119	12	linear	linear	ADJ
ajema-8275	119	13	fashion	fashion	NOUN
ajema-8275	119	14	from	from	ADP
ajema-8275	119	15	2	2	NUM
ajema-8275	119	16	to	to	ADP
ajema-8275	119	17	0	0	NUM
ajema-8275	119	18	across	across	ADP
ajema-8275	119	19	iterations	iteration	NOUN
ajema-8275	119	20	.	.	PUNCT
ajema-8275	120	1	msa	msa	ADJ
ajema-8275	120	2	-	-	PUNCT
ajema-8275	120	3	specific	specific	ADJ
ajema-8275	120	4	enhancements	enhancement	NOUN
ajema-8275	120	5	:	:	PUNCT
ajema-8275	120	6	➢	➢	VERB
ajema-8275	120	7	fitness	fitness	NOUN
ajema-8275	120	8	function	function	NOUN
ajema-8275	120	9	:	:	PUNCT
ajema-8275	120	10	the	the	DET
ajema-8275	120	11	sum	sum	NOUN
ajema-8275	120	12	-	-	PUNCT
ajema-8275	120	13	of	of	ADP
ajema-8275	120	14	-	-	PUNCT
ajema-8275	120	15	pairs	pair	NOUN
ajema-8275	120	16	(	(	PUNCT
ajema-8275	120	17	sp	sp	NOUN
ajema-8275	120	18	)	)	PUNCT
ajema-8275	120	19	score	score	NOUN
ajema-8275	120	20	is	be	AUX
ajema-8275	120	21	customized	customize	VERB
ajema-8275	120	22	to	to	PART
ajema-8275	120	23	penalize	penalize	VERB
ajema-8275	120	24	gaps	gap	NOUN
ajema-8275	120	25	using	use	VERB
ajema-8275	120	26	affine	affine	NOUN
ajema-8275	120	27	gap	gap	NOUN
ajema-8275	120	28	penalties	penalty	NOUN
ajema-8275	120	29	:	:	PUNCT
ajema-8275	120	30	𝐟(𝐏	𝐟(𝐏	NUM
ajema-8275	120	31	)	)	PUNCT
ajema-8275	121	1	=	=	PUNCT
ajema-8275	121	2	∑	∑	PUNCT
ajema-8275	121	3	∑	∑	PUNCT
ajema-8275	121	4	sp(𝑋𝑖	sp(𝑋𝑖	ADJ
ajema-8275	121	5	,	,	PUNCT
ajema-8275	121	6	x𝑗	x𝑗	NOUN
ajema-8275	121	7	)	)	PUNCT
ajema-8275	121	8	−	−	PROPN
ajema-8275	122	1	λ	λ	PROPN
ajema-8275	122	2	⋅	⋅	PROPN
ajema-8275	122	3	gappenalty	gappenalty	NOUN
ajema-8275	122	4	𝑁	𝑁	PROPN
ajema-8275	122	5	𝑗=𝑖+1	𝑗=𝑖+1	PROPN
ajema-8275	122	6	n−1	n−1	PROPN
ajema-8275	122	7	𝑖−1	𝑖−1	PROPN
ajema-8275	122	8	where	where	SCONJ
ajema-8275	122	9	λ	λ	PROPN
ajema-8275	122	10	balances	balance	NOUN
ajema-8275	122	11	alignment	alignment	VERB
ajema-8275	122	12	quality	quality	NOUN
ajema-8275	122	13	and	and	CCONJ
ajema-8275	122	14	compactness	compactness	NOUN
ajema-8275	122	15	.	.	PUNCT
ajema-8275	123	1	➢	➢	NOUN
ajema-8275	123	2	encoding	encode	VERB
ajema-8275	123	3	scheme	scheme	NOUN
ajema-8275	123	4	:	:	PUNCT
ajema-8275	123	5	each	each	DET
ajema-8275	123	6	wolf	wolf	NOUN
ajema-8275	123	7	’s	’s	PART
ajema-8275	123	8	position	position	NOUN
ajema-8275	123	9	is	be	AUX
ajema-8275	123	10	dynamically	dynamically	ADV
ajema-8275	123	11	adjusted	adjust	VERB
ajema-8275	123	12	using	use	VERB
ajema-8275	123	13	domain	domain	NOUN
ajema-8275	123	14	-	-	PUNCT
ajema-8275	123	15	specific	specific	ADJ
ajema-8275	123	16	mutation	mutation	NOUN
ajema-8275	123	17	operators	operator	NOUN
ajema-8275	123	18	to	to	PART
ajema-8275	123	19	simulate	simulate	VERB
ajema-8275	123	20	insertions	insertion	NOUN
ajema-8275	123	21	/	/	SYM
ajema-8275	123	22	deletions	deletion	NOUN
ajema-8275	123	23	.	.	PUNCT
ajema-8275	124	1	this	this	DET
ajema-8275	124	2	mathematical	mathematical	ADJ
ajema-8275	124	3	model	model	NOUN
ajema-8275	124	4	empowers	empower	NOUN
ajema-8275	124	5	gwo	gwo	VERB
ajema-8275	124	6	to	to	PART
ajema-8275	124	7	efficiently	efficiently	ADV
ajema-8275	124	8	navigate	navigate	VERB
ajema-8275	124	9	the	the	DET
ajema-8275	124	10	vast	vast	ADJ
ajema-8275	124	11	msa	msa	PROPN
ajema-8275	124	12	search	search	NOUN
ajema-8275	124	13	space	space	NOUN
ajema-8275	124	14	by	by	ADP
ajema-8275	124	15	leveraging	leverage	VERB
ajema-8275	124	16	bio	bio	ADJ
ajema-8275	124	17	-	-	PUNCT
ajema-8275	124	18	inspired	inspired	ADJ
ajema-8275	124	19	leadership	leadership	NOUN
ajema-8275	124	20	and	and	CCONJ
ajema-8275	124	21	encircling	encircle	VERB
ajema-8275	124	22	dynamics	dynamic	NOUN
ajema-8275	124	23	,	,	PUNCT
ajema-8275	124	24	enabling	enable	VERB
ajema-8275	124	25	both	both	CCONJ
ajema-8275	124	26	global	global	ADJ
ajema-8275	124	27	convergence	convergence	NOUN
ajema-8275	124	28	and	and	CCONJ
ajema-8275	124	29	local	local	ADJ
ajema-8275	124	30	refinement	refinement	NOUN
ajema-8275	124	31	.	.	PUNCT
ajema-8275	125	1	6	6	X
ajema-8275	125	2	.	.	X
ajema-8275	125	3	data	datum	NOUN
ajema-8275	125	4	for	for	ADP
ajema-8275	125	5	msa	msa	PROPN
ajema-8275	125	6	using	use	VERB
ajema-8275	125	7	enhanced	enhance	VERB
ajema-8275	125	8	gwo	gwo	NOUN
ajema-8275	125	9	for	for	ADP
ajema-8275	125	10	a	a	DET
ajema-8275	125	11	more	more	ADV
ajema-8275	125	12	quantitative	quantitative	ADJ
ajema-8275	125	13	understanding	understanding	NOUN
ajema-8275	125	14	,	,	PUNCT
ajema-8275	125	15	we	we	PRON
ajema-8275	125	16	can	can	AUX
ajema-8275	125	17	provide	provide	VERB
ajema-8275	125	18	performance	performance	NOUN
ajema-8275	125	19	comparison	comparison	NOUN
ajema-8275	125	20	data	datum	NOUN
ajema-8275	125	21	on	on	ADP
ajema-8275	125	22	msa	msa	PROPN
ajema-8275	125	23	using	use	VERB
ajema-8275	125	24	traditional	traditional	ADJ
ajema-8275	125	25	methods	method	NOUN
ajema-8275	125	26	versus	versus	ADP
ajema-8275	125	27	enhanced	enhance	VERB
ajema-8275	125	28	gwo	gwo	PROPN
ajema-8275	125	29	.	.	PUNCT
ajema-8275	126	1	this	this	DET
ajema-8275	126	2	data	datum	NOUN
ajema-8275	126	3	could	could	AUX
ajema-8275	126	4	include	include	VERB
ajema-8275	126	5	:	:	PUNCT
ajema-8275	126	6	➢	➢	VERB
ajema-8275	126	7	alignment	alignment	NOUN
ajema-8275	126	8	accuracy	accuracy	NOUN
ajema-8275	126	9	:	:	PUNCT
ajema-8275	126	10	measured	measure	VERB
ajema-8275	126	11	using	use	VERB
ajema-8275	126	12	scores	score	NOUN
ajema-8275	126	13	such	such	ADJ
ajema-8275	126	14	as	as	ADP
ajema-8275	126	15	sum	sum	NOUN
ajema-8275	126	16	of	of	ADP
ajema-8275	126	17	pairwise	pairwise	NOUN
ajema-8275	126	18	scores	score	NOUN
ajema-8275	126	19	or	or	CCONJ
ajema-8275	126	20	total	total	ADJ
ajema-8275	126	21	alignment	alignment	NOUN
ajema-8275	126	22	score	score	NOUN
ajema-8275	126	23	.	.	PUNCT
ajema-8275	127	1	➢	➢	NOUN
ajema-8275	127	2	execution	execution	NOUN
ajema-8275	127	3	time	time	NOUN
ajema-8275	127	4	:	:	PUNCT
ajema-8275	127	5	the	the	DET
ajema-8275	127	6	time	time	NOUN
ajema-8275	127	7	taken	take	VERB
ajema-8275	127	8	for	for	ADP
ajema-8275	127	9	the	the	DET
ajema-8275	127	10	optimization	optimization	NOUN
ajema-8275	127	11	algorithm	algorithm	NOUN
ajema-8275	127	12	to	to	PART
ajema-8275	127	13	converge	converge	VERB
ajema-8275	127	14	.	.	PUNCT
ajema-8275	128	1	➢	➢	NOUN
ajema-8275	128	2	gap	gap	NOUN
ajema-8275	128	3	penalties	penalty	NOUN
ajema-8275	128	4	:	:	PUNCT
ajema-8275	128	5	the	the	DET
ajema-8275	128	6	number	number	NOUN
ajema-8275	128	7	of	of	ADP
ajema-8275	128	8	gaps	gap	NOUN
ajema-8275	128	9	introduced	introduce	VERB
ajema-8275	128	10	in	in	ADP
ajema-8275	128	11	the	the	DET
ajema-8275	128	12	alignment	alignment	NOUN
ajema-8275	128	13	.	.	PUNCT
ajema-8275	129	1	method	method	NOUN
ajema-8275	129	2	accuracy	accuracy	NOUN
ajema-8275	129	3	(	(	PUNCT
ajema-8275	129	4	%	%	INTJ
ajema-8275	129	5	)	)	PUNCT
ajema-8275	129	6	execution	execution	NOUN
ajema-8275	129	7	time	time	NOUN
ajema-8275	129	8	(	(	PUNCT
ajema-8275	129	9	s	s	NOUN
ajema-8275	129	10	)	)	PUNCT
ajema-8275	129	11	gap	gap	NOUN
ajema-8275	129	12	penalty	penalty	NOUN
ajema-8275	129	13	traditional	traditional	ADJ
ajema-8275	129	14	msa	msa	PROPN
ajema-8275	129	15	85	85	NUM
ajema-8275	129	16	30	30	NUM
ajema-8275	129	17	high	high	ADJ
ajema-8275	129	18	gwo	gwo	NOUN
ajema-8275	129	19	(	(	PUNCT
ajema-8275	129	20	basic	basic	ADJ
ajema-8275	129	21	)	)	PUNCT
ajema-8275	129	22	88	88	NUM
ajema-8275	129	23	45	45	NUM
ajema-8275	129	24	medium	medium	ADV
ajema-8275	129	25	enhanced	enhance	VERB
ajema-8275	129	26	gwo	gwo	NOUN
ajema-8275	129	27	(	(	PUNCT
ajema-8275	129	28	hybrid	hybrid	NOUN
ajema-8275	129	29	)	)	PUNCT
ajema-8275	129	30	92	92	NUM
ajema-8275	129	31	40	40	NUM
ajema-8275	129	32	low	low	ADV
ajema-8275	129	33	this	this	DET
ajema-8275	129	34	data	data	NOUN
ajema-8275	129	35	showcases	showcase	NOUN
ajema-8275	129	36	that	that	PRON
ajema-8275	129	37	enhanced	enhance	VERB
ajema-8275	129	38	gwo	gwo	PROPN
ajema-8275	129	39	,	,	PUNCT
ajema-8275	129	40	especially	especially	ADV
ajema-8275	129	41	with	with	ADP
ajema-8275	129	42	hybrid	hybrid	ADJ
ajema-8275	129	43	methods	method	NOUN
ajema-8275	129	44	,	,	PUNCT
ajema-8275	129	45	can	can	AUX
ajema-8275	129	46	improve	improve	VERB
ajema-8275	129	47	accuracy	accuracy	NOUN
ajema-8275	129	48	and	and	CCONJ
ajema-8275	129	49	reduce	reduce	VERB
ajema-8275	129	50	gap	gap	NOUN
ajema-8275	129	51	penalties	penalty	NOUN
ajema-8275	129	52	compared	compare	VERB
ajema-8275	129	53	to	to	ADP
ajema-8275	129	54	traditional	traditional	ADJ
ajema-8275	129	55	msa	msa	PROPN
ajema-8275	129	56	methods	method	NOUN
ajema-8275	129	57	.	.	PUNCT
ajema-8275	130	1	accuracy	accuracy	NOUN
ajema-8275	130	2	–	–	PUNCT
ajema-8275	130	3	gap	gap	NOUN
ajema-8275	130	4	penalty	penalty	NOUN
ajema-8275	130	5	85	85	NUM
ajema-8275	130	6	88	88	NUM
ajema-8275	130	7	92	92	NUM
ajema-8275	130	8	30	30	NUM
ajema-8275	130	9	45	45	NUM
ajema-8275	130	10	40	40	NUM
ajema-8275	130	11	0	0	NUM
ajema-8275	130	12	0	0	NUM
ajema-8275	130	13	0	0	NUM
ajema-8275	130	14	0	0	NUM
ajema-8275	130	15	10	10	NUM
ajema-8275	130	16	20	20	NUM
ajema-8275	130	17	30	30	NUM
ajema-8275	130	18	40	40	NUM
ajema-8275	130	19	50	50	NUM
ajema-8275	130	20	60	60	NUM
ajema-8275	130	21	70	70	NUM
ajema-8275	130	22	80	80	NUM
ajema-8275	130	23	90	90	NUM
ajema-8275	130	24	100	100	NUM
ajema-8275	130	25	traditional	traditional	ADJ
ajema-8275	130	26	msa	msa	PROPN
ajema-8275	130	27	gwo	gwo	PROPN
ajema-8275	130	28	(	(	PUNCT
ajema-8275	130	29	basic	basic	ADJ
ajema-8275	130	30	)	)	PUNCT
ajema-8275	130	31	enhanced	enhance	VERB
ajema-8275	130	32	gwo	gwo	PROPN
ajema-8275	130	33	(	(	PUNCT
ajema-8275	130	34	hybrid	hybrid	NOUN
ajema-8275	130	35	)	)	PUNCT
ajema-8275	130	36	axis	axis	NOUN
ajema-8275	130	37	title	title	NOUN
ajema-8275	130	38	accuracy	accuracy	NOUN
ajema-8275	130	39	(	(	PUNCT
ajema-8275	130	40	%	%	INTJ
ajema-8275	130	41	)	)	PUNCT
ajema-8275	130	42	execution	execution	NOUN
ajema-8275	130	43	time	time	NOUN
ajema-8275	130	44	(	(	PUNCT
ajema-8275	130	45	s	s	NOUN
ajema-8275	130	46	)	)	PUNCT
ajema-8275	130	47	gap	gap	NOUN
ajema-8275	130	48	penalty	penalty	NOUN
ajema-8275	130	49	high	high	ADJ
ajema-8275	130	50	medium	medium	ADJ
ajema-8275	130	51	low	low	ADJ
ajema-8275	130	52	46	46	NUM
ajema-8275	130	53	journal	journal	NOUN
ajema-8275	130	54	of	of	ADP
ajema-8275	130	55	engineering	engineering	NOUN
ajema-8275	130	56	,	,	PUNCT
ajema-8275	130	57	mechanics	mechanic	NOUN
ajema-8275	130	58	and	and	CCONJ
ajema-8275	130	59	architecture	architecture	NOUN
ajema-8275	130	60	www	www	NOUN
ajema-8275	130	61	.	.	PUNCT
ajema-8275	131	1	grnjournal.us	grnjournal.us	X
ajema-8275	131	2	performance	performance	NOUN
ajema-8275	131	3	analysis	analysis	NOUN
ajema-8275	131	4	:	:	PUNCT
ajema-8275	131	5	the	the	DET
ajema-8275	131	6	findings	finding	NOUN
ajema-8275	131	7	will	will	AUX
ajema-8275	131	8	provide	provide	VERB
ajema-8275	131	9	important	important	ADJ
ajema-8275	131	10	new	new	ADJ
ajema-8275	131	11	information	information	NOUN
ajema-8275	131	12	into	into	ADP
ajema-8275	131	13	the	the	DET
ajema-8275	131	14	effectiveness	effectiveness	NOUN
ajema-8275	131	15	of	of	ADP
ajema-8275	131	16	the	the	DET
ajema-8275	131	17	improvements	improvement	NOUN
ajema-8275	131	18	made	make	VERB
ajema-8275	131	19	to	to	ADP
ajema-8275	131	20	the	the	DET
ajema-8275	131	21	gwo	gwo	PROPN
ajema-8275	131	22	algorithm	algorithm	NOUN
ajema-8275	131	23	.	.	PUNCT
ajema-8275	132	1	specifically	specifically	ADV
ajema-8275	132	2	,	,	PUNCT
ajema-8275	132	3	we	we	PRON
ajema-8275	132	4	will	will	AUX
ajema-8275	132	5	focus	focus	VERB
ajema-8275	132	6	on	on	ADP
ajema-8275	132	7	:	:	PUNCT
ajema-8275	132	8	➢	➢	VERB
ajema-8275	132	9	alignment	alignment	NOUN
ajema-8275	132	10	accuracy	accuracy	NOUN
ajema-8275	132	11	:	:	PUNCT
ajema-8275	132	12	the	the	DET
ajema-8275	132	13	hybrid	hybrid	ADJ
ajema-8275	132	14	search	search	NOUN
ajema-8275	132	15	strategy	strategy	NOUN
ajema-8275	132	16	(	(	PUNCT
ajema-8275	132	17	incorporating	incorporate	VERB
ajema-8275	132	18	local	local	ADJ
ajema-8275	132	19	search	search	NOUN
ajema-8275	132	20	approches	approche	NOUN
ajema-8275	132	21	like	like	ADP
ajema-8275	132	22	simulated	simulate	VERB
ajema-8275	132	23	annealing	annealing	NOUN
ajema-8275	132	24	)	)	PUNCT
ajema-8275	132	25	and	and	CCONJ
ajema-8275	132	26	the	the	DET
ajema-8275	132	27	dynamic	dynamic	ADJ
ajema-8275	132	28	exploration	exploration	NOUN
ajema-8275	132	29	/	/	SYM
ajema-8275	132	30	exploitation	exploitation	NOUN
ajema-8275	132	31	balance	balance	NOUN
ajema-8275	132	32	will	will	AUX
ajema-8275	132	33	be	be	AUX
ajema-8275	132	34	highlighted	highlight	VERB
ajema-8275	132	35	as	as	ADP
ajema-8275	132	36	key	key	ADJ
ajema-8275	132	37	factors	factor	NOUN
ajema-8275	132	38	that	that	PRON
ajema-8275	132	39	enhance	enhance	VERB
ajema-8275	132	40	the	the	DET
ajema-8275	132	41	alignment	alignment	NOUN
ajema-8275	132	42	's	's	PART
ajema-8275	132	43	accuracy	accuracy	NOUN
ajema-8275	132	44	.	.	PUNCT
ajema-8275	133	1	these	these	DET
ajema-8275	133	2	improvements	improvement	NOUN
ajema-8275	133	3	help	help	VERB
ajema-8275	133	4	the	the	DET
ajema-8275	133	5	algorithm	algorithm	NOUN
ajema-8275	133	6	better	well	ADV
ajema-8275	133	7	navigate	navigate	VERB
ajema-8275	133	8	the	the	DET
ajema-8275	133	9	solution	solution	NOUN
ajema-8275	133	10	space	space	NOUN
ajema-8275	133	11	,	,	PUNCT
ajema-8275	133	12	avoiding	avoid	VERB
ajema-8275	133	13	local	local	ADJ
ajema-8275	133	14	minima	minima	NOUN
ajema-8275	133	15	and	and	CCONJ
ajema-8275	133	16	fine	fine	ADV
ajema-8275	133	17	-	-	PUNCT
ajema-8275	133	18	tuning	tune	VERB
ajema-8275	133	19	alignments	alignment	NOUN
ajema-8275	133	20	to	to	PART
ajema-8275	133	21	improve	improve	VERB
ajema-8275	133	22	sequence	sequence	NOUN
ajema-8275	133	23	similarity	similarity	NOUN
ajema-8275	133	24	.	.	PUNCT
ajema-8275	134	1	➢	➢	VERB
ajema-8275	134	2	computational	computational	ADJ
ajema-8275	134	3	speed	speed	NOUN
ajema-8275	134	4	:	:	PUNCT
ajema-8275	134	5	by	by	ADP
ajema-8275	134	6	introducing	introduce	VERB
ajema-8275	134	7	a	a	DET
ajema-8275	134	8	more	more	ADV
ajema-8275	134	9	efficient	efficient	ADJ
ajema-8275	134	10	position	position	NOUN
ajema-8275	134	11	update	update	NOUN
ajema-8275	134	12	mechanism	mechanism	NOUN
ajema-8275	134	13	and	and	CCONJ
ajema-8275	134	14	dynamic	dynamic	ADJ
ajema-8275	134	15	adjustments	adjustment	NOUN
ajema-8275	134	16	during	during	ADP
ajema-8275	134	17	the	the	DET
ajema-8275	134	18	search	search	NOUN
ajema-8275	134	19	process	process	NOUN
ajema-8275	134	20	,	,	PUNCT
ajema-8275	134	21	the	the	DET
ajema-8275	134	22	improved	improved	ADJ
ajema-8275	134	23	gwo	gwo	NOUN
ajema-8275	134	24	algorithm	algorithm	NOUN
ajema-8275	134	25	is	be	AUX
ajema-8275	134	26	expected	expect	VERB
ajema-8275	134	27	to	to	PART
ajema-8275	134	28	show	show	VERB
ajema-8275	134	29	faster	fast	ADJ
ajema-8275	134	30	convergence	convergence	NOUN
ajema-8275	134	31	times	time	NOUN
ajema-8275	134	32	,	,	PUNCT
ajema-8275	134	33	making	make	VERB
ajema-8275	134	34	it	it	PRON
ajema-8275	134	35	suitable	suitable	ADJ
ajema-8275	134	36	for	for	ADP
ajema-8275	134	37	large	large	ADJ
ajema-8275	134	38	-	-	PUNCT
ajema-8275	134	39	scale	scale	NOUN
ajema-8275	134	40	biological	biological	ADJ
ajema-8275	134	41	data	datum	NOUN
ajema-8275	134	42	.	.	PUNCT
ajema-8275	135	1	strengths	strength	NOUN
ajema-8275	135	2	and	and	CCONJ
ajema-8275	135	3	weaknesses	weakness	NOUN
ajema-8275	135	4	:	:	PUNCT
ajema-8275	135	5	while	while	SCONJ
ajema-8275	135	6	the	the	DET
ajema-8275	135	7	improved	improved	ADJ
ajema-8275	135	8	gwo	gwo	NOUN
ajema-8275	135	9	algorithm	algorithm	PROPN
ajema-8275	135	10	shows	show	VERB
ajema-8275	135	11	significant	significant	ADJ
ajema-8275	135	12	improvements	improvement	NOUN
ajema-8275	135	13	in	in	ADP
ajema-8275	135	14	terms	term	NOUN
ajema-8275	135	15	of	of	ADP
ajema-8275	135	16	alignment	alignment	ADJ
ajema-8275	135	17	accuracy	accuracy	NOUN
ajema-8275	135	18	and	and	CCONJ
ajema-8275	135	19	computational	computational	ADJ
ajema-8275	135	20	speed	speed	NOUN
ajema-8275	135	21	,	,	PUNCT
ajema-8275	135	22	it	it	PRON
ajema-8275	135	23	is	be	AUX
ajema-8275	135	24	important	important	ADJ
ajema-8275	135	25	to	to	PART
ajema-8275	135	26	consider	consider	VERB
ajema-8275	135	27	its	its	PRON
ajema-8275	135	28	limitations	limitation	NOUN
ajema-8275	135	29	and	and	CCONJ
ajema-8275	135	30	trade	trade	NOUN
ajema-8275	135	31	-	-	PUNCT
ajema-8275	135	32	offs	off	NOUN
ajema-8275	135	33	:	:	PUNCT
ajema-8275	135	34	➢	➢	NOUN
ajema-8275	135	35	strengths	strength	NOUN
ajema-8275	135	36	:	:	PUNCT
ajema-8275	135	37	o	o	NOUN
ajema-8275	135	38	higher	high	ADJ
ajema-8275	135	39	alignment	alignment	NOUN
ajema-8275	135	40	accuracy	accuracy	NOUN
ajema-8275	135	41	:	:	PUNCT
ajema-8275	135	42	the	the	DET
ajema-8275	135	43	algorithm	algorithm	NOUN
ajema-8275	135	44	's	's	PART
ajema-8275	135	45	hybrid	hybrid	ADJ
ajema-8275	135	46	approach	approach	NOUN
ajema-8275	135	47	and	and	CCONJ
ajema-8275	135	48	refined	refined	ADJ
ajema-8275	135	49	operators	operator	NOUN
ajema-8275	135	50	improve	improve	VERB
ajema-8275	135	51	its	its	PRON
ajema-8275	135	52	ability	ability	NOUN
ajema-8275	135	53	to	to	PART
ajema-8275	135	54	find	find	VERB
ajema-8275	135	55	optimal	optimal	ADJ
ajema-8275	135	56	or	or	CCONJ
ajema-8275	135	57	near	near	ADV
ajema-8275	135	58	-	-	PUNCT
ajema-8275	135	59	optimal	optimal	ADJ
ajema-8275	135	60	alignments	alignment	NOUN
ajema-8275	135	61	.	.	PUNCT
ajema-8275	136	1	o	o	X
ajema-8275	136	2	faster	fast	ADJ
ajema-8275	136	3	convergence	convergence	NOUN
ajema-8275	136	4	:	:	PUNCT
ajema-8275	136	5	the	the	DET
ajema-8275	136	6	modifications	modification	NOUN
ajema-8275	136	7	to	to	ADP
ajema-8275	136	8	the	the	DET
ajema-8275	136	9	exploration	exploration	NOUN
ajema-8275	136	10	and	and	CCONJ
ajema-8275	136	11	exploitation	exploitation	NOUN
ajema-8275	136	12	balance	balance	NOUN
ajema-8275	136	13	,	,	PUNCT
ajema-8275	136	14	as	as	ADV
ajema-8275	136	15	well	well	ADV
ajema-8275	136	16	as	as	ADP
ajema-8275	136	17	the	the	DET
ajema-8275	136	18	local	local	ADJ
ajema-8275	136	19	search	search	NOUN
ajema-8275	136	20	integration	integration	NOUN
ajema-8275	136	21	,	,	PUNCT
ajema-8275	136	22	lead	lead	VERB
ajema-8275	136	23	to	to	ADP
ajema-8275	136	24	faster	fast	ADJ
ajema-8275	136	25	convergence	convergence	NOUN
ajema-8275	136	26	rates	rate	NOUN
ajema-8275	136	27	,	,	PUNCT
ajema-8275	136	28	especially	especially	ADV
ajema-8275	136	29	when	when	SCONJ
ajema-8275	136	30	working	work	VERB
ajema-8275	136	31	with	with	ADP
ajema-8275	136	32	larger	large	ADJ
ajema-8275	136	33	datasets	dataset	NOUN
ajema-8275	136	34	.	.	PUNCT
ajema-8275	137	1	➢	➢	VERB
ajema-8275	137	2	weaknesses	weakness	NOUN
ajema-8275	137	3	:	:	PUNCT
ajema-8275	137	4	o	o	NOUN
ajema-8275	137	5	parameter	parameter	NOUN
ajema-8275	137	6	tuning	tuning	NOUN
ajema-8275	137	7	:	:	PUNCT
ajema-8275	137	8	the	the	DET
ajema-8275	137	9	algorithm	algorithm	NOUN
ajema-8275	137	10	’s	’s	PART
ajema-8275	137	11	performance	performance	NOUN
ajema-8275	137	12	is	be	AUX
ajema-8275	137	13	sensitive	sensitive	ADJ
ajema-8275	137	14	to	to	ADP
ajema-8275	137	15	the	the	DET
ajema-8275	137	16	tuning	tuning	NOUN
ajema-8275	137	17	of	of	ADP
ajema-8275	137	18	its	its	PRON
ajema-8275	137	19	parameters	parameter	NOUN
ajema-8275	137	20	(	(	PUNCT
ajema-8275	137	21	such	such	ADJ
ajema-8275	137	22	as	as	ADP
ajema-8275	137	23	population	population	NOUN
ajema-8275	137	24	size	size	NOUN
ajema-8275	137	25	and	and	CCONJ
ajema-8275	137	26	iteration	iteration	NOUN
ajema-8275	137	27	count	count	NOUN
ajema-8275	137	28	)	)	PUNCT
ajema-8275	137	29	.	.	PUNCT
ajema-8275	138	1	finding	find	VERB
ajema-8275	138	2	the	the	DET
ajema-8275	138	3	optimal	optimal	ADJ
ajema-8275	138	4	settings	setting	NOUN
ajema-8275	138	5	for	for	ADP
ajema-8275	138	6	different	different	ADJ
ajema-8275	138	7	types	type	NOUN
ajema-8275	138	8	of	of	ADP
ajema-8275	138	9	biological	biological	ADJ
ajema-8275	138	10	data	datum	NOUN
ajema-8275	138	11	(	(	PUNCT
ajema-8275	138	12	e.g.	e.g.	ADV
ajema-8275	138	13	,	,	PUNCT
ajema-8275	138	14	protein	protein	NOUN
ajema-8275	138	15	vs.	vs.	ADP
ajema-8275	138	16	rna	rna	NOUN
ajema-8275	138	17	sequences	sequence	NOUN
ajema-8275	138	18	)	)	PUNCT
ajema-8275	138	19	might	might	AUX
ajema-8275	138	20	be	be	AUX
ajema-8275	138	21	a	a	DET
ajema-8275	138	22	challenge	challenge	NOUN
ajema-8275	138	23	.	.	PUNCT
ajema-8275	139	1	o	o	X
ajema-8275	139	2	computational	computational	ADJ
ajema-8275	139	3	complexity	complexity	NOUN
ajema-8275	139	4	:	:	PUNCT
ajema-8275	139	5	compared	compare	VERB
ajema-8275	139	6	to	to	ADP
ajema-8275	139	7	conventional	conventional	ADJ
ajema-8275	139	8	techniques	technique	NOUN
ajema-8275	139	9	,	,	PUNCT
ajema-8275	139	10	the	the	DET
ajema-8275	139	11	enhanced	enhance	VERB
ajema-8275	139	12	gwo	gwo	NOUN
ajema-8275	139	13	exhibits	exhibit	VERB
ajema-8275	139	14	greater	great	ADJ
ajema-8275	139	15	computing	computing	NOUN
ajema-8275	139	16	efficiency	efficiency	NOUN
ajema-8275	139	17	in	in	ADP
ajema-8275	139	18	some	some	DET
ajema-8275	139	19	cases	case	NOUN
ajema-8275	139	20	,	,	PUNCT
ajema-8275	139	21	the	the	DET
ajema-8275	139	22	hybrid	hybrid	ADJ
ajema-8275	139	23	approach	approach	NOUN
ajema-8275	139	24	can	can	AUX
ajema-8275	139	25	still	still	ADV
ajema-8275	139	26	be	be	AUX
ajema-8275	139	27	computationally	computationally	ADV
ajema-8275	139	28	expensive	expensive	ADJ
ajema-8275	139	29	,	,	PUNCT
ajema-8275	139	30	especially	especially	ADV
ajema-8275	139	31	when	when	SCONJ
ajema-8275	139	32	dealing	deal	VERB
ajema-8275	139	33	with	with	ADP
ajema-8275	139	34	very	very	ADV
ajema-8275	139	35	large	large	ADJ
ajema-8275	139	36	datasets	dataset	NOUN
ajema-8275	139	37	or	or	CCONJ
ajema-8275	139	38	highly	highly	ADV
ajema-8275	139	39	divergent	divergent	ADJ
ajema-8275	139	40	sequences	sequence	NOUN
ajema-8275	139	41	.	.	PUNCT
ajema-8275	140	1	statistical	statistical	ADJ
ajema-8275	140	2	significance	significance	NOUN
ajema-8275	140	3	:	:	PUNCT
ajema-8275	140	4	to	to	PART
ajema-8275	140	5	confirm	confirm	VERB
ajema-8275	140	6	the	the	DET
ajema-8275	140	7	validity	validity	NOUN
ajema-8275	140	8	of	of	ADP
ajema-8275	140	9	our	our	PRON
ajema-8275	140	10	outcomes	outcome	NOUN
ajema-8275	140	11	,	,	PUNCT
ajema-8275	140	12	we	we	PRON
ajema-8275	140	13	will	will	AUX
ajema-8275	140	14	perform	perform	VERB
ajema-8275	140	15	statistical	statistical	ADJ
ajema-8275	140	16	tests	test	NOUN
ajema-8275	140	17	,	,	PUNCT
ajema-8275	140	18	such	such	ADJ
ajema-8275	140	19	as	as	ADP
ajema-8275	140	20	paired	pair	VERB
ajema-8275	140	21	t	t	NOUN
ajema-8275	140	22	-	-	PUNCT
ajema-8275	140	23	tests	test	NOUN
ajema-8275	140	24	or	or	CCONJ
ajema-8275	140	25	anova	anova	PROPN
ajema-8275	140	26	.	.	PUNCT
ajema-8275	141	1	these	these	DET
ajema-8275	141	2	tests	test	NOUN
ajema-8275	141	3	will	will	AUX
ajema-8275	141	4	help	help	VERB
ajema-8275	141	5	us	we	PRON
ajema-8275	141	6	determine	determine	VERB
ajema-8275	141	7	if	if	SCONJ
ajema-8275	141	8	the	the	DET
ajema-8275	141	9	improvements	improvement	NOUN
ajema-8275	141	10	observed	observe	VERB
ajema-8275	141	11	in	in	ADP
ajema-8275	141	12	the	the	DET
ajema-8275	141	13	gwo	gwo	PROPN
ajema-8275	141	14	method	method	NOUN
ajema-8275	141	15	are	be	AUX
ajema-8275	141	16	statistically	statistically	ADV
ajema-8275	141	17	substantial	substantial	ADJ
ajema-8275	141	18	as	as	SCONJ
ajema-8275	141	19	compared	compare	VERB
ajema-8275	141	20	to	to	ADP
ajema-8275	141	21	traditional	traditional	ADJ
ajema-8275	141	22	methods	method	NOUN
ajema-8275	141	23	like	like	ADP
ajema-8275	141	24	clustalw	clustalw	NOUN
ajema-8275	141	25	and	and	CCONJ
ajema-8275	141	26	muscle	muscle	NOUN
ajema-8275	141	27	.	.	PUNCT
ajema-8275	142	1	this	this	DET
ajema-8275	142	2	statistical	statistical	ADJ
ajema-8275	142	3	validation	validation	NOUN
ajema-8275	142	4	will	will	AUX
ajema-8275	142	5	ensure	ensure	VERB
ajema-8275	142	6	that	that	SCONJ
ajema-8275	142	7	the	the	DET
ajema-8275	142	8	observed	observed	ADJ
ajema-8275	142	9	improvements	improvement	NOUN
ajema-8275	142	10	are	be	AUX
ajema-8275	142	11	not	not	PART
ajema-8275	142	12	due	due	ADJ
ajema-8275	142	13	to	to	ADP
ajema-8275	142	14	random	random	ADJ
ajema-8275	142	15	chance	chance	NOUN
ajema-8275	142	16	and	and	CCONJ
ajema-8275	142	17	that	that	SCONJ
ajema-8275	142	18	the	the	DET
ajema-8275	142	19	proposed	propose	VERB
ajema-8275	142	20	gwo	gwo	PROPN
ajema-8275	142	21	approach	approach	NOUN
ajema-8275	142	22	provides	provide	VERB
ajema-8275	142	23	a	a	DET
ajema-8275	142	24	reliable	reliable	ADJ
ajema-8275	142	25	and	and	CCONJ
ajema-8275	142	26	enhanced	enhanced	ADJ
ajema-8275	142	27	solution	solution	NOUN
ajema-8275	142	28	for	for	ADP
ajema-8275	142	29	msa	msa	PROPN
ajema-8275	142	30	tasks	task	NOUN
ajema-8275	142	31	.	.	PUNCT
ajema-8275	143	1	7	7	X
ajema-8275	143	2	.	.	X
ajema-8275	143	3	experimental	experimental	ADJ
ajema-8275	143	4	setup	setup	NOUN
ajema-8275	143	5	(	(	PUNCT
ajema-8275	143	6	enhanced	enhance	VERB
ajema-8275	143	7	with	with	ADP
ajema-8275	143	8	mathematical	mathematical	ADJ
ajema-8275	143	9	calculations	calculation	NOUN
ajema-8275	143	10	)	)	PUNCT
ajema-8275	143	11	the	the	DET
ajema-8275	143	12	experimental	experimental	ADJ
ajema-8275	143	13	setup	setup	NOUN
ajema-8275	143	14	plays	play	VERB
ajema-8275	143	15	a	a	DET
ajema-8275	143	16	pivotal	pivotal	ADJ
ajema-8275	143	17	role	role	NOUN
ajema-8275	143	18	in	in	ADP
ajema-8275	143	19	evaluating	evaluate	VERB
ajema-8275	143	20	the	the	DET
ajema-8275	143	21	efficiency	efficiency	NOUN
ajema-8275	143	22	and	and	CCONJ
ajema-8275	143	23	reliability	reliability	NOUN
ajema-8275	143	24	of	of	ADP
ajema-8275	143	25	the	the	DET
ajema-8275	143	26	proposed	propose	VERB
ajema-8275	143	27	adaptive	adaptive	ADJ
ajema-8275	143	28	guided	guide	VERB
ajema-8275	143	29	mutation	mutation	NOUN
ajema-8275	143	30	operator	operator	NOUN
ajema-8275	143	31	(	(	PUNCT
ajema-8275	143	32	agmo	agmo	NOUN
ajema-8275	143	33	)	)	PUNCT
ajema-8275	143	34	within	within	ADP
ajema-8275	143	35	the	the	DET
ajema-8275	143	36	grey	grey	ADJ
ajema-8275	143	37	wolf	wolf	PROPN
ajema-8275	143	38	optimization	optimization	NOUN
ajema-8275	143	39	(	(	PUNCT
ajema-8275	143	40	gwo	gwo	NOUN
ajema-8275	143	41	)	)	PUNCT
ajema-8275	143	42	framework	framework	NOUN
ajema-8275	143	43	for	for	ADP
ajema-8275	143	44	solving	solve	VERB
ajema-8275	143	45	the	the	DET
ajema-8275	143	46	multiple	multiple	ADJ
ajema-8275	143	47	sequence	sequence	NOUN
ajema-8275	143	48	alignment	alignment	NOUN
ajema-8275	143	49	(	(	PUNCT
ajema-8275	143	50	msa	msa	PROPN
ajema-8275	143	51	)	)	PUNCT
ajema-8275	143	52	problem	problem	NOUN
ajema-8275	143	53	.	.	PUNCT
ajema-8275	144	1	the	the	DET
ajema-8275	144	2	evaluation	evaluation	NOUN
ajema-8275	144	3	was	be	AUX
ajema-8275	144	4	designed	design	VERB
ajema-8275	144	5	to	to	PART
ajema-8275	144	6	assess	assess	VERB
ajema-8275	144	7	not	not	PART
ajema-8275	144	8	only	only	ADV
ajema-8275	144	9	the	the	DET
ajema-8275	144	10	biological	biological	ADJ
ajema-8275	144	11	alignment	alignment	NOUN
ajema-8275	144	12	accuracy	accuracy	NOUN
ajema-8275	144	13	but	but	CCONJ
ajema-8275	144	14	also	also	ADV
ajema-8275	144	15	the	the	DET
ajema-8275	144	16	computational	computational	ADJ
ajema-8275	144	17	efficiency	efficiency	NOUN
ajema-8275	144	18	,	,	PUNCT
ajema-8275	144	19	convergence	convergence	NOUN
ajema-8275	144	20	rate	rate	NOUN
ajema-8275	144	21	,	,	PUNCT
ajema-8275	144	22	and	and	CCONJ
ajema-8275	144	23	robustness	robustness	NOUN
ajema-8275	144	24	across	across	ADP
ajema-8275	144	25	benchmark	benchmark	ADJ
ajema-8275	144	26	datasets	dataset	NOUN
ajema-8275	144	27	.	.	PUNCT
ajema-8275	145	1	in	in	ADP
ajema-8275	145	2	this	this	DET
ajema-8275	145	3	section	section	NOUN
ajema-8275	145	4	,	,	PUNCT
ajema-8275	145	5	we	we	PRON
ajema-8275	145	6	describe	describe	VERB
ajema-8275	145	7	the	the	DET
ajema-8275	145	8	datasets	dataset	NOUN
ajema-8275	145	9	,	,	PUNCT
ajema-8275	145	10	implementation	implementation	NOUN
ajema-8275	145	11	environment	environment	NOUN
ajema-8275	145	12	,	,	PUNCT
ajema-8275	145	13	performance	performance	NOUN
ajema-8275	145	14	metrics	metric	NOUN
ajema-8275	145	15	,	,	PUNCT
ajema-8275	145	16	and	and	CCONJ
ajema-8275	145	17	most	most	ADV
ajema-8275	145	18	importantly	importantly	ADV
ajema-8275	145	19	,	,	PUNCT
ajema-8275	145	20	the	the	DET
ajema-8275	145	21	mathematical	mathematical	ADJ
ajema-8275	145	22	models	model	NOUN
ajema-8275	145	23	used	use	VERB
ajema-8275	145	24	to	to	PART
ajema-8275	145	25	enhance	enhance	VERB
ajema-8275	145	26	experimental	experimental	ADJ
ajema-8275	145	27	quality	quality	NOUN
ajema-8275	145	28	.	.	PUNCT
ajema-8275	146	1	47	47	NUM
ajema-8275	146	2	journal	journal	NOUN
ajema-8275	146	3	of	of	ADP
ajema-8275	146	4	engineering	engineering	NOUN
ajema-8275	146	5	,	,	PUNCT
ajema-8275	146	6	mechanics	mechanic	NOUN
ajema-8275	146	7	and	and	CCONJ
ajema-8275	146	8	architecture	architecture	NOUN
ajema-8275	146	9	www	www	NOUN
ajema-8275	146	10	.	.	PUNCT
ajema-8275	147	1	grnjournal.us	grnjournal.us	X
ajema-8275	147	2	7.1	7.1	NUM
ajema-8275	147	3	benchmark	benchmark	NOUN
ajema-8275	147	4	datasets	dataset	NOUN
ajema-8275	147	5	and	and	CCONJ
ajema-8275	147	6	implementation	implementation	NOUN
ajema-8275	147	7	environment	environment	NOUN
ajema-8275	147	8	to	to	PART
ajema-8275	147	9	conduct	conduct	VERB
ajema-8275	147	10	a	a	DET
ajema-8275	147	11	reliable	reliable	ADJ
ajema-8275	147	12	and	and	CCONJ
ajema-8275	147	13	biologically	biologically	ADV
ajema-8275	147	14	relevant	relevant	ADJ
ajema-8275	147	15	assessment	assessment	NOUN
ajema-8275	148	1	,	,	PUNCT
ajema-8275	148	2	we	we	PRON
ajema-8275	148	3	selected	select	VERB
ajema-8275	148	4	benchmark	benchmark	NOUN
ajema-8275	148	5	datasets	dataset	NOUN
ajema-8275	148	6	from	from	ADP
ajema-8275	148	7	the	the	DET
ajema-8275	148	8	widely	widely	ADV
ajema-8275	148	9	accepted	accept	VERB
ajema-8275	148	10	balibase	balibase	NOUN
ajema-8275	148	11	3.0	3.0	NUM
ajema-8275	148	12	suite	suite	NOUN
ajema-8275	148	13	,	,	PUNCT
ajema-8275	148	14	which	which	PRON
ajema-8275	148	15	offers	offer	VERB
ajema-8275	148	16	curated	curate	VERB
ajema-8275	148	17	reference	reference	NOUN
ajema-8275	148	18	alignments	alignment	NOUN
ajema-8275	148	19	for	for	ADP
ajema-8275	148	20	evaluating	evaluate	VERB
ajema-8275	148	21	msa	msa	PROPN
ajema-8275	148	22	algorithms	algorithm	NOUN
ajema-8275	148	23	.	.	PUNCT
ajema-8275	149	1	specifically	specifically	ADV
ajema-8275	149	2	,	,	PUNCT
ajema-8275	149	3	three	three	NUM
ajema-8275	149	4	subsets	subset	NOUN
ajema-8275	149	5	were	be	AUX
ajema-8275	149	6	chosen	choose	VERB
ajema-8275	149	7	[	[	PUNCT
ajema-8275	149	8	23	23	NUM
ajema-8275	149	9	]	]	PUNCT
ajema-8275	149	10	:	:	PUNCT
ajema-8275	149	11	➢	➢	VERB
ajema-8275	150	1	rv11	rv11	NOUN
ajema-8275	150	2	:	:	PUNCT
ajema-8275	150	3	closely	closely	ADV
ajema-8275	150	4	related	related	ADJ
ajema-8275	150	5	sequences	sequence	NOUN
ajema-8275	150	6	➢	➢	VERB
ajema-8275	151	1	rv12	rv12	NOUN
ajema-8275	151	2	:	:	PUNCT
ajema-8275	151	3	medium	medium	ADJ
ajema-8275	151	4	divergence	divergence	NOUN
ajema-8275	151	5	➢	➢	NOUN
ajema-8275	152	1	rv20	rv20	PROPN
ajema-8275	152	2	:	:	PUNCT
ajema-8275	152	3	sequences	sequence	NOUN
ajema-8275	152	4	with	with	ADP
ajema-8275	152	5	large	large	ADJ
ajema-8275	152	6	insertions	insertion	NOUN
ajema-8275	152	7	and	and	CCONJ
ajema-8275	152	8	deletions	deletion	NOUN
ajema-8275	152	9	these	these	DET
ajema-8275	152	10	datasets	dataset	NOUN
ajema-8275	152	11	cover	cover	VERB
ajema-8275	152	12	a	a	DET
ajema-8275	152	13	wide	wide	ADJ
ajema-8275	152	14	spectrum	spectrum	NOUN
ajema-8275	152	15	of	of	ADP
ajema-8275	152	16	biological	biological	ADJ
ajema-8275	152	17	alignment	alignment	NOUN
ajema-8275	152	18	complexities	complexity	NOUN
ajema-8275	152	19	,	,	PUNCT
ajema-8275	152	20	making	make	VERB
ajema-8275	152	21	them	they	PRON
ajema-8275	152	22	ideal	ideal	ADJ
ajema-8275	152	23	for	for	ADP
ajema-8275	152	24	stress	stress	NOUN
ajema-8275	152	25	-	-	PUNCT
ajema-8275	152	26	testing	testing	NOUN
ajema-8275	152	27	both	both	CCONJ
ajema-8275	152	28	standard	standard	ADJ
ajema-8275	152	29	and	and	CCONJ
ajema-8275	152	30	enhanced	enhanced	ADJ
ajema-8275	152	31	alignment	alignment	ADJ
ajema-8275	152	32	algorithms	algorithm	NOUN
ajema-8275	152	33	.	.	PUNCT
ajema-8275	153	1	the	the	DET
ajema-8275	153	2	implementation	implementation	NOUN
ajema-8275	153	3	was	be	AUX
ajema-8275	153	4	accomplished	accomplish	VERB
ajema-8275	153	5	by	by	ADP
ajema-8275	153	6	using	use	VERB
ajema-8275	153	7	python	python	NOUN
ajema-8275	153	8	3.10	3.10	NUM
ajema-8275	153	9	,	,	PUNCT
ajema-8275	153	10	utilizing	utilize	VERB
ajema-8275	153	11	libraries	library	NOUN
ajema-8275	153	12	such	such	ADJ
ajema-8275	153	13	as	as	ADP
ajema-8275	153	14	numpy	numpy	NOUN
ajema-8275	153	15	,	,	PUNCT
ajema-8275	153	16	biopython	biopython	NOUN
ajema-8275	153	17	,	,	PUNCT
ajema-8275	153	18	and	and	CCONJ
ajema-8275	153	19	matplotlib	matplotlib	PROPN
ajema-8275	153	20	.	.	PUNCT
ajema-8275	154	1	experiments	experiment	NOUN
ajema-8275	154	2	were	be	AUX
ajema-8275	154	3	executed	execute	VERB
ajema-8275	154	4	on	on	ADP
ajema-8275	154	5	a	a	DET
ajema-8275	154	6	machine	machine	NOUN
ajema-8275	154	7	configured	configure	VERB
ajema-8275	154	8	with	with	ADP
ajema-8275	154	9	an	an	DET
ajema-8275	154	10	intel	intel	PROPN
ajema-8275	154	11	core	core	NOUN
ajema-8275	154	12	i7	i7	NOUN
ajema-8275	154	13	processor	processor	NOUN
ajema-8275	154	14	,	,	PUNCT
ajema-8275	154	15	16	16	NUM
ajema-8275	154	16	gb	gb	NOUN
ajema-8275	154	17	ram	ram	NOUN
ajema-8275	154	18	,	,	PUNCT
ajema-8275	154	19	and	and	CCONJ
ajema-8275	154	20	ubuntu	ubuntu	ADJ
ajema-8275	154	21	22.04	22.04	NUM
ajema-8275	154	22	lts	lts	NOUN
ajema-8275	154	23	.	.	PUNCT
ajema-8275	155	1	to	to	PART
ajema-8275	155	2	improve	improve	VERB
ajema-8275	155	3	reproducibility	reproducibility	NOUN
ajema-8275	155	4	and	and	CCONJ
ajema-8275	155	5	reduce	reduce	VERB
ajema-8275	155	6	stochastic	stochastic	ADJ
ajema-8275	155	7	variation	variation	NOUN
ajema-8275	155	8	,	,	PUNCT
ajema-8275	155	9	every	every	DET
ajema-8275	155	10	test	test	NOUN
ajema-8275	155	11	case	case	NOUN
ajema-8275	155	12	was	be	AUX
ajema-8275	155	13	run	run	VERB
ajema-8275	155	14	30	30	NUM
ajema-8275	155	15	times	time	NOUN
ajema-8275	155	16	,	,	PUNCT
ajema-8275	155	17	and	and	CCONJ
ajema-8275	155	18	the	the	DET
ajema-8275	155	19	average	average	ADJ
ajema-8275	155	20	values	value	NOUN
ajema-8275	155	21	with	with	ADP
ajema-8275	155	22	standard	standard	ADJ
ajema-8275	155	23	deviation	deviation	NOUN
ajema-8275	155	24	were	be	AUX
ajema-8275	155	25	reported	report	VERB
ajema-8275	155	26	.	.	PUNCT
ajema-8275	156	1	multi	multi	VERB
ajema-8275	156	2	-	-	ADJ
ajema-8275	156	3	threading	threading	NOUN
ajema-8275	156	4	was	be	AUX
ajema-8275	156	5	enabled	enable	VERB
ajema-8275	156	6	via	via	ADP
ajema-8275	156	7	python	python	PROPN
ajema-8275	156	8	’s	’s	PART
ajema-8275	156	9	multiprocessing	multiprocesse	VERB
ajema-8275	156	10	module	module	NOUN
ajema-8275	156	11	to	to	PART
ajema-8275	156	12	support	support	VERB
ajema-8275	156	13	scalability	scalability	NOUN
ajema-8275	156	14	testing	testing	NOUN
ajema-8275	156	15	.	.	PUNCT
ajema-8275	157	1	7.2	7.2	NUM
ajema-8275	157	2	fitness	fitness	NOUN
ajema-8275	157	3	function	function	NOUN
ajema-8275	157	4	with	with	ADP
ajema-8275	157	5	affine	affine	NOUN
ajema-8275	157	6	gap	gap	NOUN
ajema-8275	157	7	penalty	penalty	NOUN
ajema-8275	157	8	to	to	PART
ajema-8275	157	9	ensure	ensure	VERB
ajema-8275	157	10	biologically	biologically	ADV
ajema-8275	157	11	meaningful	meaningful	ADJ
ajema-8275	157	12	alignment	alignment	NOUN
ajema-8275	157	13	evaluation	evaluation	NOUN
ajema-8275	157	14	,	,	PUNCT
ajema-8275	157	15	we	we	PRON
ajema-8275	157	16	employed	employ	VERB
ajema-8275	157	17	the	the	DET
ajema-8275	157	18	sum	sum	NOUN
ajema-8275	157	19	-	-	PUNCT
ajema-8275	157	20	of	of	ADP
ajema-8275	157	21	-	-	PUNCT
ajema-8275	157	22	pairs	pair	NOUN
ajema-8275	157	23	(	(	PUNCT
ajema-8275	157	24	sp	sp	NOUN
ajema-8275	157	25	)	)	PUNCT
ajema-8275	157	26	score	score	NOUN
ajema-8275	157	27	,	,	PUNCT
ajema-8275	157	28	enhanced	enhance	VERB
ajema-8275	157	29	by	by	ADP
ajema-8275	157	30	incorporating	incorporate	VERB
ajema-8275	157	31	an	an	DET
ajema-8275	157	32	affine	affine	NOUN
ajema-8275	157	33	gap	gap	NOUN
ajema-8275	157	34	penalty	penalty	NOUN
ajema-8275	157	35	model	model	NOUN
ajema-8275	157	36	.	.	PUNCT
ajema-8275	158	1	this	this	DET
ajema-8275	158	2	fitness	fitness	NOUN
ajema-8275	158	3	function	function	NOUN
ajema-8275	158	4	evaluates	evaluate	VERB
ajema-8275	158	5	the	the	DET
ajema-8275	158	6	alignment	alignment	NOUN
ajema-8275	158	7	quality	quality	NOUN
ajema-8275	158	8	f(p)f(p)f(p	f(p)f(p)f(p	PROPN
ajema-8275	158	9	)	)	PUNCT
ajema-8275	158	10	for	for	ADP
ajema-8275	158	11	a	a	DET
ajema-8275	158	12	given	give	VERB
ajema-8275	158	13	candidate	candidate	NOUN
ajema-8275	158	14	solution	solution	NOUN
ajema-8275	158	15	ppp	ppp	NOUN
ajema-8275	158	16	,	,	PUNCT
ajema-8275	158	17	as	as	SCONJ
ajema-8275	158	18	follows	follow	VERB
ajema-8275	158	19	:	:	PUNCT
ajema-8275	158	20	𝒇(𝑷	𝒇(𝑷	NUM
ajema-8275	158	21	)	)	PUNCT
ajema-8275	159	1	=	=	PUNCT
ajema-8275	159	2	∑	∑	PUNCT
ajema-8275	159	3	∑	∑	PROPN
ajema-8275	159	4	∑	∑	PROPN
ajema-8275	159	5	s(𝑥𝑖,𝑘	s(𝑥𝑖,𝑘	PROPN
ajema-8275	159	6	,	,	PUNCT
ajema-8275	159	7	x𝑗,𝑘	x𝑗,𝑘	NUM
ajema-8275	159	8	)	)	PUNCT
ajema-8275	159	9	−	−	PROPN
ajema-8275	160	1	(	(	PUNCT
ajema-8275	160	2	𝐺𝑂	𝐺𝑂	PROPN
ajema-8275	160	3	+	+	CCONJ
ajema-8275	160	4	𝐺𝑒	𝐺𝑒	PROPN
ajema-8275	160	5	∙	∙	PROPN
ajema-8275	160	6	𝑙	𝑙	X
ajema-8275	160	7	)	)	PUNCT
ajema-8275	160	8	𝐿	𝐿	NOUN
ajema-8275	160	9	𝑘=1	𝑘=1	NOUN
ajema-8275	160	10	𝑁	𝑁	PROPN
ajema-8275	160	11	𝑗=𝑖+1	𝑗=𝑖+1	NOUN
ajema-8275	160	12	n	n	ADP
ajema-8275	161	1	𝑖−1	𝑖−1	PROPN
ajema-8275	162	1	where	where	SCONJ
ajema-8275	162	2	:	:	PUNCT
ajema-8275	162	3	➢	➢	VERB
ajema-8275	162	4	n	n	NOUN
ajema-8275	162	5	=	=	NOUN
ajema-8275	162	6	number	number	NOUN
ajema-8275	162	7	of	of	ADP
ajema-8275	162	8	input	input	NOUN
ajema-8275	162	9	sequences	sequence	NOUN
ajema-8275	162	10	➢	➢	NOUN
ajema-8275	162	11	l	l	NOUN
ajema-8275	162	12	=	=	NOUN
ajema-8275	162	13	alignment	alignment	NOUN
ajema-8275	162	14	length	length	NOUN
ajema-8275	162	15	after	after	ADP
ajema-8275	162	16	padding	padding	NOUN
ajema-8275	162	17	➢	➢	NOUN
ajema-8275	162	18	s(𝑥𝑖,𝑘	s(𝑥𝑖,𝑘	PROPN
ajema-8275	162	19	,	,	PUNCT
ajema-8275	162	20	x𝑗,𝑘	x𝑗,𝑘	PUNCT
ajema-8275	162	21	)	)	PUNCT
ajema-8275	163	1	=	=	SYM
ajema-8275	163	2	substitution	substitution	NOUN
ajema-8275	163	3	score	score	NOUN
ajema-8275	163	4	at	at	ADP
ajema-8275	163	5	position	position	NOUN
ajema-8275	163	6	kkk	kkk	PROPN
ajema-8275	163	7	,	,	PUNCT
ajema-8275	163	8	typically	typically	ADV
ajema-8275	163	9	based	base	VERB
ajema-8275	163	10	on	on	ADP
ajema-8275	163	11	blosum62	blosum62	NOUN
ajema-8275	163	12	➢	➢	NOUN
ajema-8275	163	13	𝐺𝑂	𝐺𝑂	NOUN
ajema-8275	163	14	=	=	NOUN
ajema-8275	163	15	gap	gap	NOUN
ajema-8275	163	16	opening	opening	NOUN
ajema-8275	163	17	penalty	penalty	NOUN
ajema-8275	163	18	(	(	PUNCT
ajema-8275	163	19	value	value	NOUN
ajema-8275	163	20	used	use	VERB
ajema-8275	163	21	:	:	PUNCT
ajema-8275	163	22	10	10	NUM
ajema-8275	163	23	)	)	PUNCT
ajema-8275	163	24	➢	➢	NOUN
ajema-8275	163	25	𝐺𝑒	𝐺𝑒	NOUN
ajema-8275	163	26	=	=	SYM
ajema-8275	163	27	gap	gap	NOUN
ajema-8275	163	28	extension	extension	NOUN
ajema-8275	163	29	penalty	penalty	NOUN
ajema-8275	163	30	(	(	PUNCT
ajema-8275	163	31	value	value	NOUN
ajema-8275	163	32	used	use	VERB
ajema-8275	163	33	:	:	PUNCT
ajema-8275	163	34	0.5	0.5	NUM
ajema-8275	163	35	)	)	PUNCT
ajema-8275	163	36	➢	➢	NOUN
ajema-8275	163	37	l	l	NOUN
ajema-8275	163	38	=	=	SYM
ajema-8275	163	39	length	length	NOUN
ajema-8275	163	40	of	of	ADP
ajema-8275	163	41	the	the	DET
ajema-8275	163	42	continuous	continuous	ADJ
ajema-8275	163	43	gap	gap	NOUN
ajema-8275	163	44	block	block	NOUN
ajema-8275	163	45	this	this	DET
ajema-8275	163	46	model	model	NOUN
ajema-8275	163	47	penalizes	penalize	NOUN
ajema-8275	163	48	long	long	ADJ
ajema-8275	163	49	gaps	gap	VERB
ajema-8275	163	50	more	more	ADV
ajema-8275	163	51	heavily	heavily	ADV
ajema-8275	163	52	than	than	ADP
ajema-8275	163	53	isolated	isolated	ADJ
ajema-8275	163	54	ones	one	NOUN
ajema-8275	163	55	,	,	PUNCT
ajema-8275	163	56	simulating	simulate	VERB
ajema-8275	163	57	biologically	biologically	ADV
ajema-8275	163	58	realistic	realistic	ADJ
ajema-8275	163	59	evolutionary	evolutionary	ADJ
ajema-8275	163	60	events	event	NOUN
ajema-8275	163	61	.	.	PUNCT
ajema-8275	164	1	the	the	DET
ajema-8275	164	2	overall	overall	ADJ
ajema-8275	164	3	objective	objective	NOUN
ajema-8275	164	4	is	be	AUX
ajema-8275	164	5	to	to	PART
ajema-8275	164	6	maximize	maximize	VERB
ajema-8275	164	7	similarity	similarity	NOUN
ajema-8275	164	8	while	while	SCONJ
ajema-8275	164	9	minimizing	minimize	VERB
ajema-8275	164	10	structural	structural	ADJ
ajema-8275	164	11	distortion	distortion	NOUN
ajema-8275	164	12	introduced	introduce	VERB
ajema-8275	164	13	by	by	ADP
ajema-8275	164	14	gaps	gap	NOUN
ajema-8275	164	15	.	.	PUNCT
ajema-8275	165	1	7.3	7.3	NUM
ajema-8275	165	2	adaptive	adaptive	ADJ
ajema-8275	165	3	mutation	mutation	NOUN
ajema-8275	165	4	and	and	CCONJ
ajema-8275	165	5	diversity	diversity	NOUN
ajema-8275	165	6	control	control	NOUN
ajema-8275	165	7	to	to	PART
ajema-8275	165	8	balance	balance	VERB
ajema-8275	165	9	exploration	exploration	NOUN
ajema-8275	165	10	and	and	CCONJ
ajema-8275	165	11	exploitation	exploitation	NOUN
ajema-8275	165	12	,	,	PUNCT
ajema-8275	165	13	we	we	PRON
ajema-8275	165	14	developed	develop	VERB
ajema-8275	165	15	an	an	DET
ajema-8275	165	16	adaptive	adaptive	ADJ
ajema-8275	165	17	mutation	mutation	NOUN
ajema-8275	165	18	probability	probability	NOUN
ajema-8275	165	19	function	function	NOUN
ajema-8275	165	20	that	that	PRON
ajema-8275	165	21	adjusts	adjust	VERB
ajema-8275	165	22	based	base	VERB
ajema-8275	165	23	on	on	ADP
ajema-8275	165	24	the	the	DET
ajema-8275	165	25	population	population	NOUN
ajema-8275	165	26	diversity	diversity	NOUN
ajema-8275	165	27	and	and	CCONJ
ajema-8275	165	28	the	the	DET
ajema-8275	165	29	iteration	iteration	NOUN
ajema-8275	165	30	number	number	NOUN
ajema-8275	165	31	.	.	PUNCT
ajema-8275	166	1	the	the	DET
ajema-8275	166	2	probability	probability	NOUN
ajema-8275	166	3	of	of	ADP
ajema-8275	166	4	mutation	mutation	NOUN
ajema-8275	166	5	for	for	ADP
ajema-8275	166	6	each	each	DET
ajema-8275	166	7	agent	agent	NOUN
ajema-8275	166	8	𝑃𝑚𝑢𝑡	𝑃𝑚𝑢𝑡	PROPN
ajema-8275	166	9	at	at	ADP
ajema-8275	166	10	iteration	iteration	NOUN
ajema-8275	166	11	t	t	PROPN
ajema-8275	166	12	is	be	AUX
ajema-8275	166	13	defined	define	VERB
ajema-8275	166	14	as	as	ADP
ajema-8275	166	15	:	:	PUNCT
ajema-8275	166	16	𝑃𝑚𝑢𝑡(t)𝑦	𝑃𝑚𝑢𝑡(t)𝑦	PROPN
ajema-8275	166	17	∙=	∙=	PROPN
ajema-8275	166	18	(	(	PUNCT
ajema-8275	166	19	1	1	NUM
ajema-8275	166	20	−	−	PROPN
ajema-8275	166	21	𝑡	𝑡	PROPN
ajema-8275	166	22	𝑇𝑚𝑎𝑥	𝑇𝑚𝑎𝑥	PROPN
ajema-8275	166	23	)	)	PUNCT
ajema-8275	166	24	.d(𝑡	.d(𝑡	PROPN
ajema-8275	166	25	)	)	PUNCT
ajema-8275	166	26	where	where	SCONJ
ajema-8275	166	27	:	:	PUNCT
ajema-8275	166	28	➢	➢	PROPN
ajema-8275	166	29	γ∈[0.1,0.9	γ∈[0.1,0.9	NOUN
ajema-8275	166	30	]	]	PUNCT
ajema-8275	167	1	=	=	SYM
ajema-8275	167	2	base	base	NOUN
ajema-8275	167	3	mutation	mutation	NOUN
ajema-8275	167	4	rate	rate	NOUN
ajema-8275	167	5	➢	➢	NOUN
ajema-8275	168	1	𝑇𝑚𝑎𝑥	𝑇𝑚𝑎𝑥	NOUN
ajema-8275	168	2	=	=	PUNCT
ajema-8275	168	3	total	total	ADJ
ajema-8275	168	4	number	number	NOUN
ajema-8275	168	5	of	of	ADP
ajema-8275	168	6	repetitions	repetition	NOUN
ajema-8275	168	7	➢	➢	VERB
ajema-8275	168	8	d(𝑡)=	d(𝑡)=	NOUN
ajema-8275	168	9	population	population	NOUN
ajema-8275	168	10	variation	variation	NOUN
ajema-8275	168	11	at	at	ADP
ajema-8275	168	12	iteration	iteration	NOUN
ajema-8275	168	13	t	t	PROPN
ajema-8275	168	14	48	48	NUM
ajema-8275	168	15	journal	journal	NOUN
ajema-8275	168	16	of	of	ADP
ajema-8275	168	17	engineering	engineering	NOUN
ajema-8275	168	18	,	,	PUNCT
ajema-8275	168	19	mechanics	mechanic	NOUN
ajema-8275	168	20	and	and	CCONJ
ajema-8275	168	21	architecture	architecture	NOUN
ajema-8275	168	22	www	www	NOUN
ajema-8275	168	23	.	.	PUNCT
ajema-8275	169	1	grnjournal.us	grnjournal.us	X
ajema-8275	169	2	the	the	DET
ajema-8275	169	3	diversity	diversity	NOUN
ajema-8275	169	4	d(𝑡	d(𝑡	PROPN
ajema-8275	169	5	)	)	PUNCT
ajema-8275	169	6	is	be	AUX
ajema-8275	169	7	calculated	calculate	VERB
ajema-8275	169	8	using	use	VERB
ajema-8275	169	9	the	the	DET
ajema-8275	169	10	average	average	NOUN
ajema-8275	169	11	normalized	normalize	VERB
ajema-8275	169	12	hamming	hamming	NOUN
ajema-8275	169	13	distance	distance	NOUN
ajema-8275	169	14	among	among	ADP
ajema-8275	169	15	all	all	DET
ajema-8275	169	16	pairs	pair	NOUN
ajema-8275	169	17	of	of	ADP
ajema-8275	169	18	solutions	solution	NOUN
ajema-8275	169	19	in	in	ADP
ajema-8275	169	20	the	the	DET
ajema-8275	169	21	population	population	NOUN
ajema-8275	169	22	:	:	PUNCT
ajema-8275	169	23	𝑫(𝒕	𝑫(𝒕	NUM
ajema-8275	169	24	)	)	PUNCT
ajema-8275	169	25	=	=	SYM
ajema-8275	169	26	2	2	NUM
ajema-8275	169	27	𝑛(𝑛	𝑛(𝑛	PROPN
ajema-8275	169	28	−	−	PROPN
ajema-8275	169	29	1	1	NUM
ajema-8275	169	30	)	)	PUNCT
ajema-8275	169	31	∑	∑	ADV
ajema-8275	169	32	∑	∑	ADV
ajema-8275	169	33	𝐻(𝑋𝑖	𝐻(𝑋𝑖	NOUN
ajema-8275	169	34	,	,	PUNCT
ajema-8275	169	35	𝑋𝑗	𝑋𝑗	PROPN
ajema-8275	169	36	)	)	PUNCT
ajema-8275	169	37	𝐿	𝐿	PROPN
ajema-8275	169	38	𝑛	𝑛	ADP
ajema-8275	169	39	𝑗=𝑖+1	𝑗=𝑖+1	PROPN
ajema-8275	169	40	n	n	ADP
ajema-8275	169	41	𝑖−1	𝑖−1	PROPN
ajema-8275	169	42	here	here	ADV
ajema-8275	169	43	,	,	PUNCT
ajema-8275	169	44	nnn	nnn	PROPN
ajema-8275	169	45	is	be	AUX
ajema-8275	169	46	the	the	DET
ajema-8275	169	47	population	population	NOUN
ajema-8275	169	48	size	size	NOUN
ajema-8275	169	49	,	,	PUNCT
ajema-8275	169	50	𝐻(𝑋𝑖	𝐻(𝑋𝑖	NOUN
ajema-8275	169	51	,	,	PUNCT
ajema-8275	169	52	𝑋𝑗	𝑋𝑗	PROPN
ajema-8275	169	53	)	)	PUNCT
ajema-8275	169	54	denotes	denote	VERB
ajema-8275	169	55	the	the	DET
ajema-8275	169	56	hamming	hamming	NOUN
ajema-8275	169	57	distance	distance	NOUN
ajema-8275	169	58	between	between	ADP
ajema-8275	169	59	two	two	NUM
ajema-8275	169	60	aligned	aligned	ADJ
ajema-8275	169	61	sequences	sequence	NOUN
ajema-8275	169	62	𝑋𝑖	𝑋𝑖	PROPN
ajema-8275	169	63	,	,	PUNCT
ajema-8275	169	64	and	and	CCONJ
ajema-8275	169	65	𝑋𝑗	𝑋𝑗	PROPN
ajema-8275	169	66	,	,	PUNCT
ajema-8275	169	67	and	and	CCONJ
ajema-8275	169	68	l	l	NOUN
ajema-8275	169	69	is	be	AUX
ajema-8275	169	70	the	the	DET
ajema-8275	169	71	alignment	alignment	ADJ
ajema-8275	169	72	length	length	NOUN
ajema-8275	169	73	.	.	PUNCT
ajema-8275	170	1	this	this	DET
ajema-8275	170	2	model	model	NOUN
ajema-8275	170	3	ensures	ensure	VERB
ajema-8275	170	4	that	that	SCONJ
ajema-8275	170	5	early	early	ADJ
ajema-8275	170	6	iterations	iteration	NOUN
ajema-8275	170	7	focus	focus	VERB
ajema-8275	170	8	on	on	ADP
ajema-8275	170	9	discovering	discover	VERB
ajema-8275	170	10	diverse	diverse	ADJ
ajema-8275	170	11	solutions	solution	NOUN
ajema-8275	170	12	,	,	PUNCT
ajema-8275	170	13	while	while	SCONJ
ajema-8275	170	14	later	later	ADV
ajema-8275	170	15	iterations	iteration	NOUN
ajema-8275	170	16	shift	shift	VERB
ajema-8275	170	17	toward	toward	ADP
ajema-8275	170	18	refining	refine	VERB
ajema-8275	170	19	the	the	DET
ajema-8275	170	20	best	good	ADJ
ajema-8275	170	21	candidates	candidate	NOUN
ajema-8275	170	22	.	.	PUNCT
ajema-8275	171	1	7.4	7.4	NUM
ajema-8275	171	2	time	time	NOUN
ajema-8275	171	3	complexity	complexity	NOUN
ajema-8275	171	4	estimation	estimation	NOUN
ajema-8275	171	5	the	the	DET
ajema-8275	171	6	theoretical	theoretical	ADJ
ajema-8275	171	7	time	time	NOUN
ajema-8275	171	8	complexity	complexity	NOUN
ajema-8275	171	9	per	per	ADP
ajema-8275	171	10	iteration	iteration	NOUN
ajema-8275	171	11	of	of	ADP
ajema-8275	171	12	the	the	DET
ajema-8275	171	13	algorithm	algorithm	NOUN
ajema-8275	171	14	is	be	AUX
ajema-8275	171	15	analyzed	analyze	VERB
ajema-8275	171	16	to	to	PART
ajema-8275	171	17	determine	determine	VERB
ajema-8275	171	18	its	its	PRON
ajema-8275	171	19	scalability	scalability	NOUN
ajema-8275	171	20	.	.	PUNCT
ajema-8275	172	1	for	for	ADP
ajema-8275	172	2	each	each	DET
ajema-8275	172	3	iteration	iteration	NOUN
ajema-8275	172	4	,	,	PUNCT
ajema-8275	172	5	the	the	DET
ajema-8275	172	6	time	time	NOUN
ajema-8275	172	7	required	require	VERB
ajema-8275	172	8	includes	include	VERB
ajema-8275	172	9	:	:	PUNCT
ajema-8275	172	10	➢	➢	VERB
ajema-8275	172	11	fitness	fitness	NOUN
ajema-8275	172	12	evaluation	evaluation	NOUN
ajema-8275	172	13	of	of	ADP
ajema-8275	172	14	all	all	DET
ajema-8275	172	15	wolves	wolf	NOUN
ajema-8275	172	16	:	:	PUNCT
ajema-8275	172	17	𝑂(𝑛	𝑂(𝑛	NUM
ajema-8275	172	18	∙	∙	PROPN
ajema-8275	172	19	𝑁2	𝑁2	NOUN
ajema-8275	172	20	∙	∙	PROPN
ajema-8275	172	21	𝐿	𝐿	PROPN
ajema-8275	172	22	)	)	PUNCT
ajema-8275	172	23	➢	➢	NOUN
ajema-8275	172	24	crossover	crossover	NOUN
ajema-8275	172	25	and	and	CCONJ
ajema-8275	172	26	mutation	mutation	NOUN
ajema-8275	172	27	operations	operation	NOUN
ajema-8275	172	28	:	:	PUNCT
ajema-8275	172	29	𝑂(𝑛	𝑂(𝑛	NUM
ajema-8275	172	30	∙	∙	PROPN
ajema-8275	172	31	𝐿	𝐿	PROPN
ajema-8275	172	32	)	)	PUNCT
ajema-8275	172	33	➢	➢	NOUN
ajema-8275	172	34	sorting	sorting	NOUN
ajema-8275	172	35	based	base	VERB
ajema-8275	172	36	on	on	ADP
ajema-8275	172	37	fitness	fitness	NOUN
ajema-8275	172	38	:	:	PUNCT
ajema-8275	172	39	𝑂(𝑛	𝑂(𝑛	PUNCT
ajema-8275	172	40	∙	∙	PROPN
ajema-8275	172	41	𝑙𝑜𝑔	𝑙𝑜𝑔	ADP
ajema-8275	172	42	𝑛	𝑛	NOUN
ajema-8275	172	43	)	)	PUNCT
ajema-8275	172	44	thus	thus	ADV
ajema-8275	172	45	,	,	PUNCT
ajema-8275	172	46	the	the	DET
ajema-8275	172	47	total	total	ADJ
ajema-8275	172	48	complexity	complexity	NOUN
ajema-8275	172	49	per	per	ADP
ajema-8275	172	50	iteration	iteration	NOUN
ajema-8275	172	51	can	can	AUX
ajema-8275	172	52	be	be	AUX
ajema-8275	172	53	approximated	approximate	VERB
ajema-8275	172	54	as	as	ADP
ajema-8275	172	55	:	:	PUNCT
ajema-8275	172	56	𝑇	𝑇	PROPN
ajema-8275	172	57	=	=	SYM
ajema-8275	173	1	𝑂(𝑛	𝑂(𝑛	NUM
ajema-8275	173	2	∙	∙	PROPN
ajema-8275	173	3	𝑁2	𝑁2	NOUN
ajema-8275	173	4	∙	∙	PROPN
ajema-8275	173	5	𝐿	𝐿	PROPN
ajema-8275	173	6	+	+	PROPN
ajema-8275	173	7	𝑛	𝑛	VERB
ajema-8275	173	8	∙	∙	PROPN
ajema-8275	173	9	𝑙𝑜𝑔	𝑙𝑜𝑔	NOUN
ajema-8275	173	10	𝑛	𝑛	NOUN
ajema-8275	173	11	)	)	PUNCT
ajema-8275	173	12	where	where	SCONJ
ajema-8275	173	13	:	:	PUNCT
ajema-8275	173	14	➢	➢	VERB
ajema-8275	173	15	n	n	CCONJ
ajema-8275	173	16	:	:	PUNCT
ajema-8275	173	17	number	number	NOUN
ajema-8275	173	18	of	of	ADP
ajema-8275	173	19	wolves	wolf	NOUN
ajema-8275	173	20	(	(	PUNCT
ajema-8275	173	21	population	population	NOUN
ajema-8275	173	22	size	size	NOUN
ajema-8275	173	23	)	)	PUNCT
ajema-8275	173	24	➢	➢	NOUN
ajema-8275	173	25	n	n	CCONJ
ajema-8275	173	26	:	:	PUNCT
ajema-8275	173	27	number	number	NOUN
ajema-8275	173	28	of	of	ADP
ajema-8275	173	29	sequences	sequence	NOUN
ajema-8275	173	30	➢	➢	NOUN
ajema-8275	173	31	l	l	NOUN
ajema-8275	173	32	:	:	PUNCT
ajema-8275	173	33	alignment	alignment	ADJ
ajema-8275	173	34	length	length	NOUN
ajema-8275	173	35	despite	despite	SCONJ
ajema-8275	173	36	the	the	DET
ajema-8275	173	37	additional	additional	ADJ
ajema-8275	173	38	mutation	mutation	NOUN
ajema-8275	173	39	step	step	NOUN
ajema-8275	173	40	,	,	PUNCT
ajema-8275	173	41	the	the	DET
ajema-8275	173	42	convergence	convergence	NOUN
ajema-8275	173	43	is	be	AUX
ajema-8275	173	44	faster	fast	ADJ
ajema-8275	173	45	due	due	ADJ
ajema-8275	173	46	to	to	ADP
ajema-8275	173	47	early	early	ADJ
ajema-8275	173	48	exploration	exploration	NOUN
ajema-8275	173	49	and	and	CCONJ
ajema-8275	173	50	latestage	latestage	NOUN
ajema-8275	173	51	refinement	refinement	NOUN
ajema-8275	173	52	,	,	PUNCT
ajema-8275	173	53	leading	lead	VERB
ajema-8275	173	54	to	to	ADP
ajema-8275	173	55	a	a	DET
ajema-8275	173	56	net	net	ADJ
ajema-8275	173	57	reduction	reduction	NOUN
ajema-8275	173	58	in	in	ADP
ajema-8275	173	59	runtime	runtime	NOUN
ajema-8275	173	60	.	.	PUNCT
ajema-8275	174	1	7.5	7.5	NUM
ajema-8275	174	2	parameter	parameter	NOUN
ajema-8275	174	3	settings	setting	NOUN
ajema-8275	174	4	and	and	CCONJ
ajema-8275	174	5	experimental	experimental	ADJ
ajema-8275	174	6	design	design	NOUN
ajema-8275	174	7	the	the	DET
ajema-8275	174	8	following	follow	VERB
ajema-8275	174	9	table	table	NOUN
ajema-8275	174	10	outlines	outline	VERB
ajema-8275	174	11	the	the	DET
ajema-8275	174	12	parameters	parameter	NOUN
ajema-8275	174	13	used	use	VERB
ajema-8275	174	14	in	in	ADP
ajema-8275	174	15	the	the	DET
ajema-8275	174	16	experimental	experimental	ADJ
ajema-8275	174	17	setup	setup	NOUN
ajema-8275	174	18	:	:	PUNCT
ajema-8275	174	19	parameter	parameter	NOUN
ajema-8275	174	20	value	value	NOUN
ajema-8275	174	21	population	population	NOUN
ajema-8275	174	22	size	size	NOUN
ajema-8275	174	23	𝑛	𝑛	PROPN
ajema-8275	174	24	30	30	NUM
ajema-8275	174	25	wolves	wolf	NOUN
ajema-8275	174	26	max	max	PROPN
ajema-8275	174	27	iterations	iteration	NOUN
ajema-8275	174	28	t	t	PROPN
ajema-8275	174	29	1000	1000	NUM
ajema-8275	174	30	iterations	iteration	NOUN
ajema-8275	174	31	mutation	mutation	NOUN
ajema-8275	174	32	probability	probability	NOUN
ajema-8275	174	33	𝑃𝑚𝑢𝑡	𝑃𝑚𝑢𝑡	PROPN
ajema-8275	174	34	adaptive	adaptive	NOUN
ajema-8275	174	35	(	(	PUNCT
ajema-8275	174	36	0.1	0.1	NUM
ajema-8275	174	37	to	to	PART
ajema-8275	174	38	0.9	0.9	NUM
ajema-8275	174	39	)	)	PUNCT
ajema-8275	174	40	alignment	alignment	NOUN
ajema-8275	174	41	length	length	NOUN
ajema-8275	174	42	cap	cap	NOUN
ajema-8275	174	43	𝐿𝑚𝑎𝑥	𝐿𝑚𝑎𝑥	PROPN
ajema-8275	174	44	1.5×1.5	1.5×1.5	NUM
ajema-8275	174	45	\times1.5×	\times1.5×	PROPN
ajema-8275	174	46	max	max	PROPN
ajema-8275	174	47	sequence	sequence	NOUN
ajema-8275	174	48	length	length	NOUN
ajema-8275	174	49	gap	gap	NOUN
ajema-8275	174	50	opening	opening	NOUN
ajema-8275	174	51	penalty	penalty	NOUN
ajema-8275	174	52	𝐺𝑂	𝐺𝑂	NOUN
ajema-8275	174	53	10	10	NUM
ajema-8275	174	54	gap	gap	NOUN
ajema-8275	174	55	extension	extension	NOUN
ajema-8275	174	56	penalty	penalty	NOUN
ajema-8275	174	57	𝐺𝑒	𝐺𝑒	ADP
ajema-8275	174	58	0.5	0.5	NUM
ajema-8275	174	59	scoring	scoring	NOUN
ajema-8275	174	60	matrix	matrix	NOUN
ajema-8275	174	61	blosum62	blosum62	NOUN
ajema-8275	174	62	diversity	diversity	NOUN
ajema-8275	174	63	metric	metric	ADJ
ajema-8275	174	64	average	average	NOUN
ajema-8275	174	65	normalized	normalize	VERB
ajema-8275	174	66	hamming	hamming	NOUN
ajema-8275	174	67	distance	distance	NOUN
ajema-8275	174	68	evaluation	evaluation	NOUN
ajema-8275	174	69	metric	metric	NOUN
ajema-8275	174	70	sp	sp	ADP
ajema-8275	174	71	score	score	NOUN
ajema-8275	174	72	,	,	PUNCT
ajema-8275	174	73	tc	tc	NOUN
ajema-8275	174	74	score	score	NOUN
ajema-8275	174	75	,	,	PUNCT
ajema-8275	174	76	execution	execution	NOUN
ajema-8275	174	77	time	time	NOUN
ajema-8275	174	78	7.6	7.6	NUM
ajema-8275	174	79	evaluation	evaluation	NOUN
ajema-8275	174	80	metrics	metric	NOUN
ajema-8275	174	81	to	to	PART
ajema-8275	174	82	deliver	deliver	VERB
ajema-8275	174	83	a	a	DET
ajema-8275	174	84	comprehensive	comprehensive	ADJ
ajema-8275	174	85	evaluation	evaluation	NOUN
ajema-8275	174	86	,	,	PUNCT
ajema-8275	174	87	these	these	DET
ajema-8275	174	88	quantitative	quantitative	ADJ
ajema-8275	174	89	performance	performance	NOUN
ajema-8275	174	90	metrics	metric	NOUN
ajema-8275	174	91	or	or	CCONJ
ajema-8275	174	92	indicators	indicator	NOUN
ajema-8275	174	93	were	be	AUX
ajema-8275	174	94	used	use	VERB
ajema-8275	174	95	:	:	PUNCT
ajema-8275	174	96	➢	➢	VERB
ajema-8275	174	97	sum	sum	NOUN
ajema-8275	174	98	-	-	PUNCT
ajema-8275	174	99	of	of	ADP
ajema-8275	174	100	-	-	PUNCT
ajema-8275	174	101	pairs	pair	NOUN
ajema-8275	174	102	(	(	PUNCT
ajema-8275	174	103	sp	sp	NOUN
ajema-8275	174	104	)	)	PUNCT
ajema-8275	174	105	score	score	NOUN
ajema-8275	174	106	:	:	PUNCT
ajema-8275	174	107	measures	measure	NOUN
ajema-8275	174	108	overall	overall	ADJ
ajema-8275	174	109	alignment	alignment	NOUN
ajema-8275	174	110	accuracy	accuracy	NOUN
ajema-8275	174	111	between	between	ADP
ajema-8275	174	112	all	all	DET
ajema-8275	174	113	pairs	pair	NOUN
ajema-8275	174	114	.	.	PUNCT
ajema-8275	175	1	➢	➢	NOUN
ajema-8275	175	2	total	total	ADJ
ajema-8275	175	3	column	column	NOUN
ajema-8275	175	4	(	(	PUNCT
ajema-8275	175	5	tc	tc	NOUN
ajema-8275	175	6	)	)	PUNCT
ajema-8275	175	7	score	score	NOUN
ajema-8275	175	8	:	:	PUNCT
ajema-8275	175	9	measures	measure	VERB
ajema-8275	175	10	conservation	conservation	NOUN
ajema-8275	175	11	by	by	ADP
ajema-8275	175	12	counting	count	VERB
ajema-8275	175	13	fully	fully	ADV
ajema-8275	175	14	matched	match	VERB
ajema-8275	175	15	columns	column	NOUN
ajema-8275	175	16	.	.	PUNCT
ajema-8275	176	1	➢	➢	NOUN
ajema-8275	176	2	execution	execution	NOUN
ajema-8275	176	3	time	time	NOUN
ajema-8275	176	4	:	:	PUNCT
ajema-8275	176	5	total	total	ADJ
ajema-8275	176	6	runtime	runtime	NOUN
ajema-8275	176	7	in	in	ADP
ajema-8275	176	8	seconds	second	NOUN
ajema-8275	176	9	.	.	PUNCT
ajema-8275	177	1	➢	➢	VERB
ajema-8275	177	2	convergence	convergence	NOUN
ajema-8275	177	3	plot	plot	NOUN
ajema-8275	177	4	:	:	PUNCT
ajema-8275	177	5	average	average	ADJ
ajema-8275	177	6	fitness	fitness	NOUN
ajema-8275	177	7	value	value	NOUN
ajema-8275	177	8	across	across	ADP
ajema-8275	177	9	iterations	iteration	NOUN
ajema-8275	177	10	.	.	PUNCT
ajema-8275	178	1	49	49	NUM
ajema-8275	178	2	journal	journal	NOUN
ajema-8275	178	3	of	of	ADP
ajema-8275	178	4	engineering	engineering	NOUN
ajema-8275	178	5	,	,	PUNCT
ajema-8275	178	6	mechanics	mechanic	NOUN
ajema-8275	178	7	and	and	CCONJ
ajema-8275	178	8	architecture	architecture	NOUN
ajema-8275	178	9	www	www	NOUN
ajema-8275	178	10	.	.	PUNCT
ajema-8275	179	1	grnjournal.us	grnjournal.us	X
ajema-8275	179	2	➢	➢	VERB
ajema-8275	179	3	standard	standard	ADJ
ajema-8275	179	4	deviation	deviation	NOUN
ajema-8275	179	5	:	:	PUNCT
ajema-8275	179	6	to	to	PART
ajema-8275	179	7	assess	assess	VERB
ajema-8275	179	8	the	the	DET
ajema-8275	179	9	stability	stability	NOUN
ajema-8275	179	10	of	of	ADP
ajema-8275	179	11	results	result	NOUN
ajema-8275	179	12	over	over	ADP
ajema-8275	179	13	30	30	NUM
ajema-8275	179	14	runs	run	NOUN
ajema-8275	179	15	.	.	PUNCT
ajema-8275	180	1	this	this	DET
ajema-8275	180	2	mathematically	mathematically	ADV
ajema-8275	180	3	grounded	ground	VERB
ajema-8275	180	4	experimental	experimental	ADJ
ajema-8275	180	5	setup	setup	NOUN
ajema-8275	180	6	provides	provide	VERB
ajema-8275	180	7	both	both	CCONJ
ajema-8275	180	8	biological	biological	ADJ
ajema-8275	180	9	and	and	CCONJ
ajema-8275	180	10	computational	computational	ADJ
ajema-8275	180	11	validation	validation	NOUN
ajema-8275	180	12	for	for	ADP
ajema-8275	180	13	the	the	DET
ajema-8275	180	14	proposed	propose	VERB
ajema-8275	180	15	gwo	gwo	PROPN
ajema-8275	180	16	-	-	ADJ
ajema-8275	180	17	agmo	agmo	ADJ
ajema-8275	180	18	model	model	NOUN
ajema-8275	180	19	.	.	PUNCT
ajema-8275	181	1	by	by	ADP
ajema-8275	181	2	integrating	integrate	VERB
ajema-8275	181	3	affine	affine	NOUN
ajema-8275	181	4	gap	gap	NOUN
ajema-8275	181	5	penalties	penalty	NOUN
ajema-8275	181	6	,	,	PUNCT
ajema-8275	181	7	adaptive	adaptive	ADJ
ajema-8275	181	8	mutation	mutation	NOUN
ajema-8275	181	9	control	control	NOUN
ajema-8275	181	10	,	,	PUNCT
ajema-8275	181	11	and	and	CCONJ
ajema-8275	181	12	diversity	diversity	NOUN
ajema-8275	181	13	-	-	PUNCT
ajema-8275	181	14	aware	aware	ADJ
ajema-8275	181	15	mechanisms	mechanism	NOUN
ajema-8275	181	16	,	,	PUNCT
ajema-8275	181	17	the	the	DET
ajema-8275	181	18	system	system	NOUN
ajema-8275	181	19	ensures	ensure	VERB
ajema-8275	181	20	high	high	ADJ
ajema-8275	181	21	-	-	PUNCT
ajema-8275	181	22	quality	quality	NOUN
ajema-8275	181	23	alignment	alignment	NOUN
ajema-8275	181	24	solutions	solution	NOUN
ajema-8275	181	25	across	across	ADP
ajema-8275	181	26	diverse	diverse	ADJ
ajema-8275	181	27	sequence	sequence	NOUN
ajema-8275	181	28	datasets	dataset	NOUN
ajema-8275	181	29	.	.	PUNCT
ajema-8275	182	1	the	the	DET
ajema-8275	182	2	inclusion	inclusion	NOUN
ajema-8275	182	3	of	of	ADP
ajema-8275	182	4	hamming	hamming	NOUN
ajema-8275	182	5	distance	distance	NOUN
ajema-8275	182	6	as	as	ADP
ajema-8275	182	7	a	a	DET
ajema-8275	182	8	diversity	diversity	NOUN
ajema-8275	182	9	control	control	NOUN
ajema-8275	182	10	mechanism	mechanism	NOUN
ajema-8275	182	11	,	,	PUNCT
ajema-8275	182	12	together	together	ADV
ajema-8275	182	13	with	with	ADP
ajema-8275	182	14	convergence	convergence	NOUN
ajema-8275	182	15	acceleration	acceleration	NOUN
ajema-8275	182	16	techniques	technique	NOUN
ajema-8275	182	17	,	,	PUNCT
ajema-8275	182	18	results	result	NOUN
ajema-8275	182	19	in	in	ADP
ajema-8275	182	20	both	both	DET
ajema-8275	182	21	improved	improved	ADJ
ajema-8275	182	22	accuracy	accuracy	NOUN
ajema-8275	182	23	and	and	CCONJ
ajema-8275	182	24	reduced	reduced	ADJ
ajema-8275	182	25	computation	computation	NOUN
ajema-8275	182	26	time	time	NOUN
ajema-8275	182	27	—	—	PUNCT
ajema-8275	182	28	making	make	VERB
ajema-8275	182	29	this	this	DET
ajema-8275	182	30	approach	approach	NOUN
ajema-8275	182	31	suitable	suitable	ADJ
ajema-8275	182	32	for	for	ADP
ajema-8275	182	33	real	real	ADJ
ajema-8275	182	34	-	-	PUNCT
ajema-8275	182	35	world	world	NOUN
ajema-8275	182	36	bioinformatics	bioinformatics	NOUN
ajema-8275	182	37	applications	application	NOUN
ajema-8275	182	38	.	.	PUNCT
ajema-8275	183	1	8	8	X
ajema-8275	183	2	.	.	X
ajema-8275	183	3	results	result	NOUN
ajema-8275	183	4	and	and	CCONJ
ajema-8275	183	5	discussion	discussion	NOUN
ajema-8275	183	6	the	the	DET
ajema-8275	183	7	proposed	propose	VERB
ajema-8275	183	8	gwo	gwo	PROPN
ajema-8275	183	9	-	-	ADJ
ajema-8275	183	10	agmo	agmo	ADJ
ajema-8275	183	11	(	(	PUNCT
ajema-8275	183	12	grey	grey	ADJ
ajema-8275	183	13	wolf	wolf	PROPN
ajema-8275	183	14	optimization	optimization	NOUN
ajema-8275	183	15	with	with	ADP
ajema-8275	183	16	adaptive	adaptive	ADJ
ajema-8275	183	17	guided	guide	VERB
ajema-8275	183	18	mutation	mutation	NOUN
ajema-8275	183	19	operator	operator	NOUN
ajema-8275	183	20	)	)	PUNCT
ajema-8275	183	21	demonstrated	demonstrate	VERB
ajema-8275	183	22	superior	superior	ADJ
ajema-8275	183	23	performance	performance	NOUN
ajema-8275	183	24	in	in	ADP
ajema-8275	183	25	solving	solve	VERB
ajema-8275	183	26	the	the	DET
ajema-8275	183	27	multiple	multiple	ADJ
ajema-8275	183	28	sequence	sequence	NOUN
ajema-8275	183	29	alignment	alignment	NOUN
ajema-8275	183	30	(	(	PUNCT
ajema-8275	183	31	msa	msa	PROPN
ajema-8275	183	32	)	)	PUNCT
ajema-8275	183	33	problem	problem	NOUN
ajema-8275	183	34	across	across	ADP
ajema-8275	183	35	various	various	ADJ
ajema-8275	183	36	evaluation	evaluation	NOUN
ajema-8275	183	37	metrics	metric	NOUN
ajema-8275	183	38	.	.	PUNCT
ajema-8275	184	1	this	this	DET
ajema-8275	184	2	section	section	NOUN
ajema-8275	184	3	presents	present	VERB
ajema-8275	184	4	a	a	DET
ajema-8275	184	5	comparative	comparative	ADJ
ajema-8275	184	6	analysis	analysis	NOUN
ajema-8275	184	7	of	of	ADP
ajema-8275	184	8	alignment	alignment	NOUN
ajema-8275	184	9	scores	score	NOUN
ajema-8275	184	10	,	,	PUNCT
ajema-8275	184	11	convergence	convergence	NOUN
ajema-8275	184	12	behavior	behavior	NOUN
ajema-8275	184	13	,	,	PUNCT
ajema-8275	184	14	statistical	statistical	ADJ
ajema-8275	184	15	validation	validation	NOUN
ajema-8275	184	16	,	,	PUNCT
ajema-8275	184	17	runtime	runtime	NOUN
ajema-8275	184	18	,	,	PUNCT
ajema-8275	184	19	and	and	CCONJ
ajema-8275	184	20	algorithmic	algorithmic	ADJ
ajema-8275	184	21	stability	stability	NOUN
ajema-8275	184	22	,	,	PUNCT
ajema-8275	184	23	offering	offer	VERB
ajema-8275	184	24	a	a	DET
ajema-8275	184	25	comprehensive	comprehensive	ADJ
ajema-8275	184	26	perspective	perspective	NOUN
ajema-8275	184	27	on	on	ADP
ajema-8275	184	28	the	the	DET
ajema-8275	184	29	method	method	NOUN
ajema-8275	184	30	’s	’s	PART
ajema-8275	184	31	effectiveness	effectiveness	NOUN
ajema-8275	184	32	.	.	PUNCT
ajema-8275	185	1	comparison	comparison	NOUN
ajema-8275	185	2	of	of	ADP
ajema-8275	185	3	alignment	alignment	NOUN
ajema-8275	185	4	scores	score	NOUN
ajema-8275	185	5	:	:	PUNCT
ajema-8275	185	6	the	the	DET
ajema-8275	185	7	algorithm	algorithm	NOUN
ajema-8275	185	8	was	be	AUX
ajema-8275	185	9	evaluated	evaluate	VERB
ajema-8275	185	10	on	on	ADP
ajema-8275	185	11	the	the	DET
ajema-8275	185	12	balibase	balibase	NOUN
ajema-8275	185	13	3.0	3.0	NUM
ajema-8275	185	14	benchmark	benchmark	NOUN
ajema-8275	185	15	datasets	dataset	NOUN
ajema-8275	185	16	using	use	VERB
ajema-8275	185	17	two	two	NUM
ajema-8275	185	18	widely	widely	ADV
ajema-8275	185	19	accepted	accept	VERB
ajema-8275	185	20	alignment	alignment	NOUN
ajema-8275	185	21	quality	quality	NOUN
ajema-8275	185	22	metrics	metric	NOUN
ajema-8275	185	23	:	:	PUNCT
ajema-8275	185	24	sum	sum	NOUN
ajema-8275	185	25	-	-	PUNCT
ajema-8275	185	26	of	of	ADP
ajema-8275	185	27	-	-	PUNCT
ajema-8275	185	28	pairs	pair	NOUN
ajema-8275	185	29	(	(	PUNCT
ajema-8275	185	30	sp	sp	NOUN
ajema-8275	185	31	)	)	PUNCT
ajema-8275	185	32	score	score	NOUN
ajema-8275	185	33	and	and	CCONJ
ajema-8275	185	34	total	total	ADJ
ajema-8275	185	35	column	column	NOUN
ajema-8275	185	36	(	(	PUNCT
ajema-8275	185	37	tc	tc	NOUN
ajema-8275	185	38	)	)	PUNCT
ajema-8275	185	39	score	score	NOUN
ajema-8275	185	40	.	.	PUNCT
ajema-8275	186	1	results	result	NOUN
ajema-8275	186	2	show	show	VERB
ajema-8275	186	3	that	that	SCONJ
ajema-8275	186	4	gwo	gwo	PROPN
ajema-8275	186	5	-	-	ADJ
ajema-8275	186	6	agmo	agmo	ADJ
ajema-8275	186	7	consistently	consistently	ADV
ajema-8275	186	8	outperformed	outperform	VERB
ajema-8275	186	9	traditional	traditional	ADJ
ajema-8275	186	10	tools	tool	NOUN
ajema-8275	186	11	[	[	X
ajema-8275	186	12	24	24	NUM
ajema-8275	186	13	]	]	X
ajema-8275	186	14	:	:	PUNCT
ajema-8275	186	15	dataset	dataset	ADJ
ajema-8275	186	16	algorithm	algorithm	NOUN
ajema-8275	186	17	sp	sp	ADP
ajema-8275	186	18	score	score	NOUN
ajema-8275	186	19	(	(	PUNCT
ajema-8275	186	20	%	%	INTJ
ajema-8275	186	21	)	)	PUNCT
ajema-8275	186	22	tc	tc	NOUN
ajema-8275	186	23	score	score	NOUN
ajema-8275	186	24	(	(	PUNCT
ajema-8275	186	25	%	%	INTJ
ajema-8275	186	26	)	)	PUNCT
ajema-8275	187	1	rv11	rv11	PROPN
ajema-8275	187	2	gwo	gwo	NOUN
ajema-8275	187	3	-	-	ADJ
ajema-8275	187	4	agmo	agmo	ADJ
ajema-8275	187	5	92.3	92.3	NUM
ajema-8275	187	6	78.5	78.5	NUM
ajema-8275	187	7	muscle	muscle	NOUN
ajema-8275	187	8	88.1	88.1	NUM
ajema-8275	187	9	72.6	72.6	NUM
ajema-8275	187	10	clustalw	clustalw	NOUN
ajema-8275	187	11	85.0	85.0	NUM
ajema-8275	187	12	69.2	69.2	NUM
ajema-8275	187	13	rv12	rv12	PROPN
ajema-8275	187	14	gwo	gwo	PROPN
ajema-8275	187	15	-	-	ADJ
ajema-8275	187	16	agmo	agmo	ADJ
ajema-8275	187	17	87.6	87.6	NUM
ajema-8275	187	18	74.1	74.1	NUM
ajema-8275	187	19	rv20	rv20	PROPN
ajema-8275	187	20	gwo	gwo	PROPN
ajema-8275	187	21	-	-	ADJ
ajema-8275	187	22	agmo	agmo	ADJ
ajema-8275	187	23	81.4	81.4	NUM
ajema-8275	187	24	68.0	68.0	NUM
ajema-8275	187	25	the	the	DET
ajema-8275	187	26	improved	improved	ADJ
ajema-8275	187	27	sp	sp	ADP
ajema-8275	187	28	and	and	CCONJ
ajema-8275	187	29	tc	tc	NOUN
ajema-8275	187	30	scores	score	NOUN
ajema-8275	187	31	highlight	highlight	VERB
ajema-8275	187	32	gwo	gwo	PROPN
ajema-8275	187	33	-	-	ADJ
ajema-8275	187	34	agmo	agmo	ADJ
ajema-8275	187	35	’s	’s	PART
ajema-8275	187	36	ability	ability	NOUN
ajema-8275	187	37	to	to	PART
ajema-8275	187	38	align	align	VERB
ajema-8275	187	39	conserved	conserved	ADJ
ajema-8275	187	40	motifs	motif	NOUN
ajema-8275	187	41	and	and	CCONJ
ajema-8275	187	42	handle	handle	VERB
ajema-8275	187	43	gaps	gap	NOUN
ajema-8275	187	44	effectively	effectively	ADV
ajema-8275	187	45	,	,	PUNCT
ajema-8275	187	46	especially	especially	ADV
ajema-8275	187	47	in	in	ADP
ajema-8275	187	48	datasets	dataset	NOUN
ajema-8275	187	49	with	with	ADP
ajema-8275	187	50	high	high	ADJ
ajema-8275	187	51	divergence	divergence	NOUN
ajema-8275	187	52	(	(	PUNCT
ajema-8275	187	53	rv20	rv20	PROPN
ajema-8275	187	54	)	)	PUNCT
ajema-8275	187	55	.	.	PUNCT
ajema-8275	188	1	➢	➢	VERB
ajema-8275	188	2	convergence	convergence	NOUN
ajema-8275	188	3	curves	curve	NOUN
ajema-8275	188	4	:	:	PUNCT
ajema-8275	188	5	the	the	DET
ajema-8275	188	6	convergence	convergence	NOUN
ajema-8275	188	7	curves	curve	NOUN
ajema-8275	188	8	of	of	ADP
ajema-8275	188	9	gwo	gwo	PROPN
ajema-8275	188	10	-	-	ADJ
ajema-8275	188	11	agmo	agmo	NOUN
ajema-8275	188	12	demonstrated	demonstrate	VERB
ajema-8275	188	13	faster	fast	ADV
ajema-8275	188	14	and	and	CCONJ
ajema-8275	188	15	more	more	ADV
ajema-8275	188	16	stable	stable	ADJ
ajema-8275	188	17	optimization	optimization	NOUN
ajema-8275	188	18	behavior	behavior	NOUN
ajema-8275	188	19	compared	compare	VERB
ajema-8275	188	20	to	to	ADP
ajema-8275	188	21	standard	standard	PROPN
ajema-8275	188	22	gwo	gwo	PROPN
ajema-8275	188	23	.	.	PUNCT
ajema-8275	189	1	on	on	ADP
ajema-8275	189	2	average	average	ADJ
ajema-8275	189	3	,	,	PUNCT
ajema-8275	189	4	gwo	gwo	ADJ
ajema-8275	189	5	-	-	ADJ
ajema-8275	189	6	agmo	agmo	ADJ
ajema-8275	189	7	converged	converge	VERB
ajema-8275	189	8	in	in	ADP
ajema-8275	189	9	550	550	NUM
ajema-8275	189	10	iterations	iteration	NOUN
ajema-8275	189	11	,	,	PUNCT
ajema-8275	189	12	whereas	whereas	SCONJ
ajema-8275	189	13	standard	standard	ADJ
ajema-8275	189	14	gwo	gwo	NOUN
ajema-8275	189	15	required	require	VERB
ajema-8275	189	16	over	over	ADP
ajema-8275	189	17	800	800	NUM
ajema-8275	189	18	iterations	iteration	NOUN
ajema-8275	189	19	.	.	PUNCT
ajema-8275	190	1	early	early	ADJ
ajema-8275	190	2	improvements	improvement	NOUN
ajema-8275	190	3	in	in	ADP
ajema-8275	190	4	fitness	fitness	NOUN
ajema-8275	190	5	were	be	AUX
ajema-8275	190	6	sharper	sharp	ADJ
ajema-8275	190	7	due	due	ADP
ajema-8275	190	8	to	to	ADP
ajema-8275	190	9	the	the	DET
ajema-8275	190	10	adaptive	adaptive	ADJ
ajema-8275	190	11	mutation	mutation	NOUN
ajema-8275	190	12	boosting	boost	VERB
ajema-8275	190	13	exploration	exploration	NOUN
ajema-8275	190	14	in	in	ADP
ajema-8275	190	15	initial	initial	ADJ
ajema-8275	190	16	phases	phase	NOUN
ajema-8275	190	17	.	.	PUNCT
ajema-8275	191	1	➢	➢	VERB
ajema-8275	191	2	statistical	statistical	ADJ
ajema-8275	191	3	validation	validation	NOUN
ajema-8275	191	4	:	:	PUNCT
ajema-8275	191	5	to	to	PART
ajema-8275	191	6	assess	assess	VERB
ajema-8275	191	7	the	the	DET
ajema-8275	191	8	statistical	statistical	ADJ
ajema-8275	191	9	significance	significance	NOUN
ajema-8275	191	10	of	of	ADP
ajema-8275	191	11	improvements	improvement	NOUN
ajema-8275	191	12	,	,	PUNCT
ajema-8275	191	13	we	we	PRON
ajema-8275	191	14	conducted	conduct	VERB
ajema-8275	191	15	paired	pair	VERB
ajema-8275	191	16	t	t	NOUN
ajema-8275	191	17	-	-	PUNCT
ajema-8275	191	18	tests	test	NOUN
ajema-8275	191	19	and	and	CCONJ
ajema-8275	191	20	wilcoxon	wilcoxon	VERB
ajema-8275	191	21	signed	sign	VERB
ajema-8275	191	22	-	-	PUNCT
ajema-8275	191	23	rank	rank	NOUN
ajema-8275	191	24	tests	test	NOUN
ajema-8275	191	25	between	between	ADP
ajema-8275	191	26	gwo	gwo	PROPN
ajema-8275	191	27	-	-	ADJ
ajema-8275	191	28	agmo	agmo	ADJ
ajema-8275	191	29	and	and	CCONJ
ajema-8275	191	30	baseline	baseline	NOUN
ajema-8275	191	31	models	model	NOUN
ajema-8275	191	32	across	across	ADP
ajema-8275	191	33	30	30	NUM
ajema-8275	191	34	runs	run	NOUN
ajema-8275	191	35	.	.	PUNCT
ajema-8275	192	1	for	for	ADP
ajema-8275	192	2	both	both	PRON
ajema-8275	192	3	sp	sp	ADP
ajema-8275	192	4	and	and	CCONJ
ajema-8275	192	5	tc	tc	NUM
ajema-8275	192	6	scores	score	NOUN
ajema-8275	192	7	,	,	PUNCT
ajema-8275	192	8	p	p	NOUN
ajema-8275	192	9	-	-	PUNCT
ajema-8275	192	10	values	value	NOUN
ajema-8275	192	11	were	be	AUX
ajema-8275	192	12	<	<	X
ajema-8275	192	13	0.01	0.01	NUM
ajema-8275	192	14	,	,	PUNCT
ajema-8275	192	15	indicating	indicate	VERB
ajema-8275	192	16	that	that	SCONJ
ajema-8275	192	17	the	the	DET
ajema-8275	192	18	variations	variation	NOUN
ajema-8275	192	19	in	in	ADP
ajema-8275	192	20	performance	performance	NOUN
ajema-8275	192	21	were	be	AUX
ajema-8275	192	22	statistically	statistically	ADV
ajema-8275	192	23	significant	significant	ADJ
ajema-8275	192	24	at	at	ADP
ajema-8275	192	25	a	a	DET
ajema-8275	192	26	99	99	NUM
ajema-8275	192	27	%	%	NOUN
ajema-8275	192	28	confidence	confidence	NOUN
ajema-8275	192	29	level	level	NOUN
ajema-8275	192	30	.	.	PUNCT
ajema-8275	193	1	this	this	PRON
ajema-8275	193	2	confirms	confirm	VERB
ajema-8275	193	3	that	that	SCONJ
ajema-8275	193	4	the	the	DET
ajema-8275	193	5	mentioned	mention	VERB
ajema-8275	193	6	or	or	CCONJ
ajema-8275	193	7	noted	note	VERB
ajema-8275	193	8	improvements	improvement	NOUN
ajema-8275	193	9	are	be	AUX
ajema-8275	193	10	not	not	PART
ajema-8275	193	11	due	due	ADJ
ajema-8275	193	12	to	to	ADP
ajema-8275	193	13	random	random	ADJ
ajema-8275	193	14	variation	variation	NOUN
ajema-8275	193	15	.	.	PUNCT
ajema-8275	194	1	➢	➢	NOUN
ajema-8275	194	2	runtime	runtime	NOUN
ajema-8275	194	3	and	and	CCONJ
ajema-8275	194	4	stability	stability	NOUN
ajema-8275	194	5	:	:	PUNCT
ajema-8275	194	6	while	while	SCONJ
ajema-8275	194	7	gwo	gwo	ADJ
ajema-8275	194	8	-	-	ADJ
ajema-8275	194	9	agmo	agmo	ADJ
ajema-8275	194	10	integrates	integrate	NOUN
ajema-8275	194	11	additional	additional	ADJ
ajema-8275	194	12	mutation	mutation	NOUN
ajema-8275	194	13	steps	step	NOUN
ajema-8275	194	14	,	,	PUNCT
ajema-8275	194	15	it	it	PRON
ajema-8275	194	16	still	still	ADV
ajema-8275	194	17	reduced	reduce	VERB
ajema-8275	194	18	total	total	ADJ
ajema-8275	194	19	runtime	runtime	NOUN
ajema-8275	194	20	by	by	ADP
ajema-8275	194	21	~18	~18	NOUN
ajema-8275	194	22	%	%	NOUN
ajema-8275	194	23	due	due	ADP
ajema-8275	194	24	to	to	ADP
ajema-8275	194	25	faster	fast	ADJ
ajema-8275	194	26	convergence	convergence	NOUN
ajema-8275	194	27	.	.	PUNCT
ajema-8275	195	1	the	the	DET
ajema-8275	195	2	adaptive	adaptive	ADJ
ajema-8275	195	3	operator	operator	NOUN
ajema-8275	195	4	guided	guide	VERB
ajema-8275	195	5	the	the	DET
ajema-8275	195	6	population	population	NOUN
ajema-8275	195	7	away	away	ADV
ajema-8275	195	8	from	from	ADP
ajema-8275	195	9	local	local	ADJ
ajema-8275	195	10	optima	optima	NOUN
ajema-8275	195	11	,	,	PUNCT
ajema-8275	195	12	reducing	reduce	VERB
ajema-8275	195	13	the	the	DET
ajema-8275	195	14	number	number	NOUN
ajema-8275	195	15	of	of	ADP
ajema-8275	195	16	iterations	iteration	NOUN
ajema-8275	195	17	needed	need	VERB
ajema-8275	195	18	for	for	ADP
ajema-8275	195	19	convergence	convergence	NOUN
ajema-8275	195	20	.	.	PUNCT
ajema-8275	196	1	in	in	ADP
ajema-8275	196	2	terms	term	NOUN
ajema-8275	196	3	of	of	ADP
ajema-8275	196	4	stability	stability	NOUN
ajema-8275	196	5	,	,	PUNCT
ajema-8275	196	6	gwo	gwo	PROPN
ajema-8275	196	7	-	-	ADJ
ajema-8275	196	8	agmo	agmo	NOUN
ajema-8275	196	9	showed	show	VERB
ajema-8275	196	10	lower	low	ADJ
ajema-8275	196	11	standard	standard	ADJ
ajema-8275	196	12	deviation	deviation	NOUN
ajema-8275	196	13	in	in	ADP
ajema-8275	196	14	sp	sp	ADP
ajema-8275	196	15	scores	score	NOUN
ajema-8275	196	16	(	(	PUNCT
ajema-8275	196	17	<	<	X
ajema-8275	196	18	2	2	NUM
ajema-8275	196	19	%	%	NOUN
ajema-8275	196	20	)	)	PUNCT
ajema-8275	196	21	,	,	PUNCT
ajema-8275	196	22	reinforcing	reinforce	VERB
ajema-8275	196	23	its	its	PRON
ajema-8275	196	24	robustness	robustness	NOUN
ajema-8275	196	25	and	and	CCONJ
ajema-8275	196	26	reliability	reliability	NOUN
ajema-8275	196	27	.	.	PUNCT
ajema-8275	197	1	➢	➢	VERB
ajema-8275	197	2	visual	visual	ADJ
ajema-8275	197	3	comparison	comparison	NOUN
ajema-8275	197	4	(	(	PUNCT
ajema-8275	197	5	optional	optional	ADJ
ajema-8275	197	6	insight	insight	NOUN
ajema-8275	197	7	):	):	PUNCT
ajema-8275	197	8	visual	visual	ADJ
ajema-8275	197	9	plots	plot	NOUN
ajema-8275	197	10	of	of	ADP
ajema-8275	197	11	aligned	aligned	ADJ
ajema-8275	197	12	sequences	sequence	NOUN
ajema-8275	197	13	from	from	ADP
ajema-8275	197	14	gwoagmo	gwoagmo	PROPN
ajema-8275	197	15	showed	show	VERB
ajema-8275	197	16	better	well	ADJ
ajema-8275	197	17	conservation	conservation	NOUN
ajema-8275	197	18	of	of	ADP
ajema-8275	197	19	biologically	biologically	ADV
ajema-8275	197	20	meaningful	meaningful	ADJ
ajema-8275	197	21	regions	region	NOUN
ajema-8275	197	22	,	,	PUNCT
ajema-8275	197	23	especially	especially	ADV
ajema-8275	197	24	in	in	ADP
ajema-8275	197	25	rv20	rv20	PROPN
ajema-8275	197	26	datasets	dataset	NOUN
ajema-8275	197	27	.	.	PUNCT
ajema-8275	198	1	conserved	conserved	ADJ
ajema-8275	198	2	motifs	motif	NOUN
ajema-8275	198	3	were	be	AUX
ajema-8275	198	4	more	more	ADV
ajema-8275	198	5	accurately	accurately	ADV
ajema-8275	198	6	aligned	align	VERB
ajema-8275	198	7	,	,	PUNCT
ajema-8275	198	8	with	with	ADP
ajema-8275	198	9	fewer	few	ADJ
ajema-8275	198	10	misplaced	misplaced	ADJ
ajema-8275	198	11	gaps	gap	NOUN
ajema-8275	198	12	compared	compare	VERB
ajema-8275	198	13	to	to	ADP
ajema-8275	198	14	clustalw	clustalw	NOUN
ajema-8275	198	15	and	and	CCONJ
ajema-8275	198	16	muscle	muscle	NOUN
ajema-8275	198	17	.	.	PUNCT
ajema-8275	199	1	➢	➢	VERB
ajema-8275	199	2	the	the	DET
ajema-8275	199	3	experimental	experimental	ADJ
ajema-8275	199	4	outcomes	outcome	NOUN
ajema-8275	199	5	derived	derive	VERB
ajema-8275	199	6	from	from	ADP
ajema-8275	199	7	using	use	VERB
ajema-8275	199	8	the	the	DET
ajema-8275	199	9	proposed	propose	VERB
ajema-8275	199	10	grey	grey	NOUN
ajema-8275	199	11	wolf	wolf	PROPN
ajema-8275	199	12	optimization	optimization	NOUN
ajema-8275	199	13	with	with	ADP
ajema-8275	199	14	adaptive	adaptive	ADJ
ajema-8275	199	15	guided	guide	VERB
ajema-8275	199	16	mutation	mutation	NOUN
ajema-8275	199	17	operator	operator	NOUN
ajema-8275	199	18	(	(	PUNCT
ajema-8275	199	19	gwo	gwo	NOUN
ajema-8275	199	20	-	-	ADJ
ajema-8275	199	21	agmo	agmo	NOUN
ajema-8275	199	22	)	)	PUNCT
ajema-8275	199	23	to	to	ADP
ajema-8275	199	24	the	the	DET
ajema-8275	199	25	multiple	multiple	ADJ
ajema-8275	199	26	sequence	sequence	NOUN
ajema-8275	199	27	50	50	NUM
ajema-8275	199	28	journal	journal	NOUN
ajema-8275	199	29	of	of	ADP
ajema-8275	199	30	engineering	engineering	NOUN
ajema-8275	199	31	,	,	PUNCT
ajema-8275	199	32	mechanics	mechanic	NOUN
ajema-8275	199	33	and	and	CCONJ
ajema-8275	199	34	architecture	architecture	NOUN
ajema-8275	199	35	www	www	NOUN
ajema-8275	199	36	.	.	PUNCT
ajema-8275	200	1	grnjournal.us	grnjournal.us	X
ajema-8275	200	2	alignment	alignment	NOUN
ajema-8275	200	3	(	(	PUNCT
ajema-8275	200	4	msa	msa	PROPN
ajema-8275	200	5	)	)	PUNCT
ajema-8275	200	6	problem	problem	NOUN
ajema-8275	200	7	clearly	clearly	ADV
ajema-8275	200	8	demonstrate	demonstrate	VERB
ajema-8275	200	9	its	its	PRON
ajema-8275	200	10	effectiveness	effectiveness	NOUN
ajema-8275	200	11	and	and	CCONJ
ajema-8275	200	12	superiority	superiority	NOUN
ajema-8275	200	13	over	over	ADP
ajema-8275	200	14	conventional	conventional	ADJ
ajema-8275	200	15	methods	method	NOUN
ajema-8275	200	16	.	.	PUNCT
ajema-8275	201	1	the	the	DET
ajema-8275	201	2	performance	performance	NOUN
ajema-8275	201	3	was	be	AUX
ajema-8275	201	4	assessed	assess	VERB
ajema-8275	201	5	using	use	VERB
ajema-8275	201	6	multiple	multiple	ADJ
ajema-8275	201	7	benchmark	benchmark	ADJ
ajema-8275	201	8	datasets	dataset	NOUN
ajema-8275	201	9	from	from	ADP
ajema-8275	201	10	the	the	DET
ajema-8275	201	11	balibase	balibase	NOUN
ajema-8275	201	12	3.0	3.0	NUM
ajema-8275	201	13	suite	suite	NOUN
ajema-8275	201	14	,	,	PUNCT
ajema-8275	201	15	with	with	ADP
ajema-8275	201	16	an	an	DET
ajema-8275	201	17	emphasis	emphasis	NOUN
ajema-8275	201	18	on	on	ADP
ajema-8275	201	19	alignment	alignment	ADJ
ajema-8275	201	20	quality	quality	NOUN
ajema-8275	201	21	,	,	PUNCT
ajema-8275	201	22	convergence	convergence	NOUN
ajema-8275	201	23	speed	speed	NOUN
ajema-8275	201	24	,	,	PUNCT
ajema-8275	201	25	and	and	CCONJ
ajema-8275	201	26	computational	computational	ADJ
ajema-8275	201	27	efficiency	efficiency	NOUN
ajema-8275	201	28	.	.	PUNCT
ajema-8275	202	1	1	1	X
ajema-8275	202	2	.	.	X
ajema-8275	202	3	alignment	alignment	ADJ
ajema-8275	202	4	accuracy	accuracy	NOUN
ajema-8275	202	5	:	:	PUNCT
ajema-8275	202	6	the	the	DET
ajema-8275	202	7	most	most	ADV
ajema-8275	202	8	important	important	ADJ
ajema-8275	202	9	metric	metric	ADJ
ajema-8275	202	10	,	,	PUNCT
ajema-8275	202	11	sum	sum	NOUN
ajema-8275	202	12	-	-	PUNCT
ajema-8275	202	13	of	of	ADP
ajema-8275	202	14	-	-	PUNCT
ajema-8275	202	15	pairs	pair	NOUN
ajema-8275	202	16	(	(	PUNCT
ajema-8275	202	17	sp	sp	NOUN
ajema-8275	202	18	)	)	PUNCT
ajema-8275	202	19	score	score	NOUN
ajema-8275	202	20	,	,	PUNCT
ajema-8275	202	21	was	be	AUX
ajema-8275	202	22	used	use	VERB
ajema-8275	202	23	to	to	PART
ajema-8275	202	24	assess	assess	VERB
ajema-8275	202	25	how	how	SCONJ
ajema-8275	202	26	well	well	ADV
ajema-8275	202	27	the	the	DET
ajema-8275	202	28	proposed	propose	VERB
ajema-8275	202	29	method	method	NOUN
ajema-8275	202	30	aligns	align	VERB
ajema-8275	202	31	homologous	homologous	ADJ
ajema-8275	202	32	sequences	sequence	NOUN
ajema-8275	202	33	.	.	PUNCT
ajema-8275	203	1	gwo	gwo	PROPN
ajema-8275	203	2	-	-	ADJ
ajema-8275	203	3	agmo	agmo	NOUN
ajema-8275	203	4	consistently	consistently	ADV
ajema-8275	203	5	delivered	deliver	VERB
ajema-8275	203	6	higher	higher	ADV
ajema-8275	203	7	sp	sp	ADP
ajema-8275	203	8	scores	score	NOUN
ajema-8275	203	9	across	across	ADP
ajema-8275	203	10	all	all	DET
ajema-8275	203	11	dataset	dataset	ADJ
ajema-8275	203	12	types	type	NOUN
ajema-8275	203	13	.	.	PUNCT
ajema-8275	204	1	specifically	specifically	ADV
ajema-8275	204	2	:	:	PUNCT
ajema-8275	204	3	➢	➢	VERB
ajema-8275	205	1	rv11	rv11	ADJ
ajema-8275	205	2	dataset	dataset	NOUN
ajema-8275	205	3	(	(	PUNCT
ajema-8275	205	4	closely	closely	ADV
ajema-8275	205	5	related	relate	VERB
ajema-8275	205	6	sequences	sequence	NOUN
ajema-8275	205	7	):	):	PUNCT
ajema-8275	205	8	o	o	PROPN
ajema-8275	205	9	gwo	gwo	PROPN
ajema-8275	205	10	-	-	ADJ
ajema-8275	205	11	agmo	agmo	ADJ
ajema-8275	205	12	:	:	PUNCT
ajema-8275	205	13	92.3	92.3	NUM
ajema-8275	205	14	%	%	NOUN
ajema-8275	205	15	o	o	X
ajema-8275	205	16	standard	standard	PROPN
ajema-8275	205	17	gwo	gwo	NOUN
ajema-8275	205	18	:	:	PUNCT
ajema-8275	205	19	86.4	86.4	NUM
ajema-8275	205	20	%	%	NOUN
ajema-8275	205	21	o	o	NOUN
ajema-8275	205	22	muscle	muscle	NOUN
ajema-8275	205	23	:	:	PUNCT
ajema-8275	205	24	88.1	88.1	NUM
ajema-8275	205	25	%	%	NOUN
ajema-8275	205	26	o	o	PROPN
ajema-8275	205	27	clustalw	clustalw	NOUN
ajema-8275	205	28	:	:	PUNCT
ajema-8275	205	29	85.0	85.0	NUM
ajema-8275	205	30	%	%	NOUN
ajema-8275	205	31	➢	➢	NOUN
ajema-8275	206	1	rv12	rv12	PROPN
ajema-8275	206	2	dataset	dataset	NOUN
ajema-8275	206	3	(	(	PUNCT
ajema-8275	206	4	moderate	moderate	ADJ
ajema-8275	206	5	divergence	divergence	NOUN
ajema-8275	206	6	):	):	PUNCT
ajema-8275	206	7	o	o	PROPN
ajema-8275	206	8	gwo	gwo	PROPN
ajema-8275	206	9	-	-	ADJ
ajema-8275	206	10	agmo	agmo	ADJ
ajema-8275	206	11	:	:	PUNCT
ajema-8275	206	12	87.6	87.6	NUM
ajema-8275	206	13	%	%	NOUN
ajema-8275	206	14	o	o	X
ajema-8275	206	15	standard	standard	PROPN
ajema-8275	206	16	gwo	gwo	NOUN
ajema-8275	206	17	:	:	PUNCT
ajema-8275	206	18	82.2	82.2	NUM
ajema-8275	206	19	%	%	NOUN
ajema-8275	206	20	o	o	NOUN
ajema-8275	206	21	mafft	mafft	PROPN
ajema-8275	206	22	:	:	PUNCT
ajema-8275	206	23	84.3	84.3	NUM
ajema-8275	206	24	%	%	NOUN
ajema-8275	206	25	➢	➢	NOUN
ajema-8275	207	1	rv20	rv20	PROPN
ajema-8275	207	2	dataset	dataset	NOUN
ajema-8275	207	3	(	(	PUNCT
ajema-8275	207	4	long	long	ADJ
ajema-8275	207	5	indels	indel	NOUN
ajema-8275	207	6	and	and	CCONJ
ajema-8275	207	7	high	high	ADJ
ajema-8275	207	8	divergence	divergence	NOUN
ajema-8275	207	9	):	):	PUNCT
ajema-8275	207	10	o	o	PROPN
ajema-8275	207	11	gwo	gwo	PROPN
ajema-8275	207	12	-	-	ADJ
ajema-8275	207	13	agmo	agmo	ADJ
ajema-8275	207	14	:	:	PUNCT
ajema-8275	207	15	81.4	81.4	NUM
ajema-8275	207	16	%	%	NOUN
ajema-8275	207	17	o	o	X
ajema-8275	207	18	standard	standard	PROPN
ajema-8275	207	19	gwo	gwo	NOUN
ajema-8275	207	20	:	:	PUNCT
ajema-8275	207	21	74.2	74.2	NUM
ajema-8275	207	22	%	%	NOUN
ajema-8275	207	23	o	o	NOUN
ajema-8275	207	24	clustalw	clustalw	NOUN
ajema-8275	207	25	:	:	PUNCT
ajema-8275	207	26	74.8	74.8	NUM
ajema-8275	207	27	%	%	NOUN
ajema-8275	207	28	the	the	DET
ajema-8275	207	29	total	total	ADJ
ajema-8275	207	30	column	column	NOUN
ajema-8275	207	31	(	(	PUNCT
ajema-8275	207	32	tc	tc	NOUN
ajema-8275	207	33	)	)	PUNCT
ajema-8275	207	34	score	score	NOUN
ajema-8275	207	35	—	—	PUNCT
ajema-8275	207	36	which	which	PRON
ajema-8275	207	37	indicates	indicate	VERB
ajema-8275	207	38	how	how	SCONJ
ajema-8275	207	39	many	many	ADJ
ajema-8275	207	40	columns	column	NOUN
ajema-8275	207	41	in	in	ADP
ajema-8275	207	42	the	the	DET
ajema-8275	207	43	alignment	alignment	NOUN
ajema-8275	207	44	exactly	exactly	ADV
ajema-8275	207	45	match	match	VERB
ajema-8275	207	46	the	the	DET
ajema-8275	207	47	reference	reference	NOUN
ajema-8275	207	48	—	—	PUNCT
ajema-8275	207	49	was	be	AUX
ajema-8275	207	50	also	also	ADV
ajema-8275	207	51	higher	high	ADJ
ajema-8275	207	52	in	in	ADP
ajema-8275	207	53	gwo	gwo	PROPN
ajema-8275	207	54	-	-	ADJ
ajema-8275	207	55	agmo	agmo	ADJ
ajema-8275	207	56	,	,	PUNCT
ajema-8275	207	57	further	far	ADV
ajema-8275	207	58	confirming	confirm	VERB
ajema-8275	207	59	that	that	SCONJ
ajema-8275	207	60	the	the	DET
ajema-8275	207	61	algorithm	algorithm	NOUN
ajema-8275	207	62	preserves	preserve	VERB
ajema-8275	207	63	biologically	biologically	ADV
ajema-8275	207	64	meaningful	meaningful	ADJ
ajema-8275	207	65	alignments	alignment	NOUN
ajema-8275	207	66	.	.	PUNCT
ajema-8275	208	1	2	2	X
ajema-8275	208	2	.	.	X
ajema-8275	208	3	convergence	convergence	NOUN
ajema-8275	208	4	speed	speed	NOUN
ajema-8275	208	5	:	:	PUNCT
ajema-8275	208	6	another	another	DET
ajema-8275	208	7	key	key	ADJ
ajema-8275	208	8	outcome	outcome	NOUN
ajema-8275	208	9	of	of	ADP
ajema-8275	208	10	the	the	DET
ajema-8275	208	11	experimentation	experimentation	NOUN
ajema-8275	208	12	was	be	AUX
ajema-8275	208	13	the	the	DET
ajema-8275	208	14	faster	fast	ADJ
ajema-8275	208	15	convergence	convergence	NOUN
ajema-8275	208	16	of	of	ADP
ajema-8275	208	17	the	the	DET
ajema-8275	208	18	proposed	propose	VERB
ajema-8275	208	19	model	model	NOUN
ajema-8275	208	20	.	.	PUNCT
ajema-8275	209	1	traditional	traditional	ADJ
ajema-8275	209	2	gwo	gwo	PROPN
ajema-8275	209	3	required	require	VERB
ajema-8275	209	4	800–1000	800–1000	NUM
ajema-8275	209	5	iterations	iteration	NOUN
ajema-8275	209	6	to	to	PART
ajema-8275	209	7	stabilize	stabilize	VERB
ajema-8275	209	8	,	,	PUNCT
ajema-8275	209	9	whereas	whereas	SCONJ
ajema-8275	209	10	gwo	gwo	ADJ
ajema-8275	209	11	-	-	ADJ
ajema-8275	209	12	agmo	agmo	NOUN
ajema-8275	209	13	generally	generally	ADV
ajema-8275	209	14	achieved	achieve	VERB
ajema-8275	209	15	high	high	ADJ
ajema-8275	209	16	-	-	PUNCT
ajema-8275	209	17	quality	quality	NOUN
ajema-8275	209	18	solutions	solution	NOUN
ajema-8275	209	19	in	in	ADP
ajema-8275	209	20	500–600	500–600	NUM
ajema-8275	209	21	iterations	iteration	NOUN
ajema-8275	209	22	.	.	PUNCT
ajema-8275	210	1	this	this	PRON
ajema-8275	210	2	reflects	reflect	VERB
ajema-8275	210	3	the	the	DET
ajema-8275	210	4	effective	effective	ADJ
ajema-8275	210	5	role	role	NOUN
ajema-8275	210	6	of	of	ADP
ajema-8275	210	7	the	the	DET
ajema-8275	210	8	adaptive	adaptive	ADJ
ajema-8275	210	9	guided	guide	VERB
ajema-8275	210	10	mutation	mutation	NOUN
ajema-8275	210	11	mechanism	mechanism	NOUN
ajema-8275	210	12	in	in	ADP
ajema-8275	210	13	accelerating	accelerate	VERB
ajema-8275	210	14	the	the	DET
ajema-8275	210	15	optimization	optimization	NOUN
ajema-8275	210	16	process	process	NOUN
ajema-8275	210	17	by	by	ADP
ajema-8275	210	18	encouraging	encourage	VERB
ajema-8275	210	19	diversity	diversity	NOUN
ajema-8275	210	20	early	early	ADV
ajema-8275	210	21	on	on	ADP
ajema-8275	210	22	and	and	CCONJ
ajema-8275	210	23	focusing	focus	VERB
ajema-8275	210	24	exploitation	exploitation	NOUN
ajema-8275	210	25	in	in	ADP
ajema-8275	210	26	later	later	ADJ
ajema-8275	210	27	stages	stage	NOUN
ajema-8275	210	28	.	.	PUNCT
ajema-8275	211	1	3	3	X
ajema-8275	211	2	.	.	PUNCT
ajema-8275	211	3	computational	computational	ADJ
ajema-8275	211	4	time	time	NOUN
ajema-8275	211	5	:	:	PUNCT
ajema-8275	211	6	despite	despite	SCONJ
ajema-8275	211	7	the	the	DET
ajema-8275	211	8	introduction	introduction	NOUN
ajema-8275	211	9	of	of	ADP
ajema-8275	211	10	mutation	mutation	NOUN
ajema-8275	211	11	operators	operator	NOUN
ajema-8275	211	12	,	,	PUNCT
ajema-8275	211	13	the	the	DET
ajema-8275	211	14	overall	overall	ADJ
ajema-8275	211	15	runtime	runtime	NOUN
ajema-8275	211	16	of	of	ADP
ajema-8275	211	17	gwo	gwo	PROPN
ajema-8275	211	18	-	-	ADJ
ajema-8275	211	19	agmo	agmo	NOUN
ajema-8275	211	20	was	be	AUX
ajema-8275	211	21	15	15	NUM
ajema-8275	211	22	–	–	SYM
ajema-8275	211	23	20	20	NUM
ajema-8275	211	24	%	%	NOUN
ajema-8275	211	25	shorter	short	ADJ
ajema-8275	211	26	than	than	ADP
ajema-8275	211	27	standard	standard	PROPN
ajema-8275	211	28	gwo	gwo	PROPN
ajema-8275	211	29	,	,	PUNCT
ajema-8275	211	30	due	due	ADP
ajema-8275	211	31	to	to	ADP
ajema-8275	211	32	faster	fast	ADJ
ajema-8275	211	33	convergence	convergence	NOUN
ajema-8275	211	34	and	and	CCONJ
ajema-8275	211	35	fewer	few	ADJ
ajema-8275	211	36	function	function	NOUN
ajema-8275	211	37	evaluations	evaluation	NOUN
ajema-8275	211	38	.	.	PUNCT
ajema-8275	212	1	for	for	ADP
ajema-8275	212	2	datasets	dataset	NOUN
ajema-8275	212	3	with	with	ADP
ajema-8275	212	4	longer	long	ADJ
ajema-8275	212	5	sequences	sequence	NOUN
ajema-8275	212	6	and	and	CCONJ
ajema-8275	212	7	more	more	ADV
ajema-8275	212	8	complex	complex	ADJ
ajema-8275	212	9	evolutionary	evolutionary	ADJ
ajema-8275	212	10	distances	distance	NOUN
ajema-8275	212	11	(	(	PUNCT
ajema-8275	212	12	e.g.	e.g.	ADV
ajema-8275	212	13	,	,	PUNCT
ajema-8275	212	14	rv20	rv20	PROPN
ajema-8275	212	15	)	)	PUNCT
ajema-8275	212	16	,	,	PUNCT
ajema-8275	212	17	this	this	DET
ajema-8275	212	18	efficiency	efficiency	NOUN
ajema-8275	212	19	gain	gain	NOUN
ajema-8275	212	20	was	be	AUX
ajema-8275	212	21	particularly	particularly	ADV
ajema-8275	212	22	noticeable	noticeable	ADJ
ajema-8275	212	23	.	.	PUNCT
ajema-8275	213	1	4	4	X
ajema-8275	213	2	.	.	X
ajema-8275	213	3	stability	stability	NOUN
ajema-8275	213	4	and	and	CCONJ
ajema-8275	213	5	robustness	robustness	NOUN
ajema-8275	213	6	:	:	PUNCT
ajema-8275	213	7	each	each	DET
ajema-8275	213	8	experiment	experiment	NOUN
ajema-8275	213	9	was	be	AUX
ajema-8275	213	10	repeated	repeat	VERB
ajema-8275	213	11	30	30	NUM
ajema-8275	213	12	times	time	NOUN
ajema-8275	213	13	,	,	PUNCT
ajema-8275	213	14	and	and	CCONJ
ajema-8275	213	15	the	the	DET
ajema-8275	213	16	standard	standard	ADJ
ajema-8275	213	17	deviation	deviation	NOUN
ajema-8275	213	18	in	in	ADP
ajema-8275	213	19	final	final	ADJ
ajema-8275	213	20	sp	sp	NOUN
ajema-8275	213	21	scores	score	NOUN
ajema-8275	213	22	was	be	AUX
ajema-8275	213	23	consistently	consistently	ADV
ajema-8275	213	24	low	low	ADJ
ajema-8275	213	25	for	for	ADP
ajema-8275	213	26	gwo	gwo	NOUN
ajema-8275	213	27	-	-	ADJ
ajema-8275	213	28	agmo	agmo	ADJ
ajema-8275	213	29	,	,	PUNCT
ajema-8275	213	30	indicating	indicate	VERB
ajema-8275	213	31	that	that	SCONJ
ajema-8275	213	32	the	the	DET
ajema-8275	213	33	algorithm	algorithm	NOUN
ajema-8275	213	34	performs	perform	VERB
ajema-8275	213	35	reliably	reliably	ADV
ajema-8275	213	36	even	even	ADV
ajema-8275	213	37	with	with	ADP
ajema-8275	213	38	its	its	PRON
ajema-8275	213	39	stochastic	stochastic	ADJ
ajema-8275	213	40	nature	nature	NOUN
ajema-8275	213	41	.	.	PUNCT
ajema-8275	214	1	the	the	DET
ajema-8275	214	2	diversity	diversity	NOUN
ajema-8275	214	3	mechanism	mechanism	NOUN
ajema-8275	214	4	built	build	VERB
ajema-8275	214	5	into	into	ADP
ajema-8275	214	6	the	the	DET
ajema-8275	214	7	mutation	mutation	NOUN
ajema-8275	214	8	operator	operator	NOUN
ajema-8275	214	9	helped	helped	AUX
ajema-8275	214	10	avoid	avoid	VERB
ajema-8275	214	11	premature	premature	ADJ
ajema-8275	214	12	convergence	convergence	NOUN
ajema-8275	214	13	and	and	CCONJ
ajema-8275	214	14	ensured	ensure	VERB
ajema-8275	214	15	a	a	DET
ajema-8275	214	16	broad	broad	ADJ
ajema-8275	214	17	search	search	NOUN
ajema-8275	214	18	of	of	ADP
ajema-8275	214	19	the	the	DET
ajema-8275	214	20	solution	solution	NOUN
ajema-8275	214	21	space	space	NOUN
ajema-8275	214	22	.	.	PUNCT
ajema-8275	215	1	9	9	NUM
ajema-8275	215	2	.conclusion	.conclusion	PUNCT
ajema-8275	215	3	this	this	DET
ajema-8275	215	4	study	study	NOUN
ajema-8275	215	5	presented	present	VERB
ajema-8275	215	6	a	a	DET
ajema-8275	215	7	novel	novel	ADJ
ajema-8275	215	8	enhancement	enhancement	NOUN
ajema-8275	215	9	to	to	ADP
ajema-8275	215	10	the	the	DET
ajema-8275	215	11	grey	grey	ADJ
ajema-8275	215	12	wolf	wolf	PROPN
ajema-8275	215	13	optimization	optimization	NOUN
ajema-8275	215	14	(	(	PUNCT
ajema-8275	215	15	gwo	gwo	NOUN
ajema-8275	215	16	)	)	PUNCT
ajema-8275	215	17	algorithm	algorithm	NOUN
ajema-8275	215	18	by	by	ADP
ajema-8275	215	19	integrating	integrate	VERB
ajema-8275	215	20	an	an	DET
ajema-8275	215	21	adaptive	adaptive	ADJ
ajema-8275	215	22	guided	guide	VERB
ajema-8275	215	23	mutation	mutation	NOUN
ajema-8275	215	24	operator	operator	NOUN
ajema-8275	215	25	(	(	PUNCT
ajema-8275	215	26	agmo	agmo	ADJ
ajema-8275	215	27	)	)	PUNCT
ajema-8275	215	28	for	for	ADP
ajema-8275	215	29	resolving	resolve	VERB
ajema-8275	215	30	the	the	DET
ajema-8275	215	31	complex	complex	ADJ
ajema-8275	215	32	and	and	CCONJ
ajema-8275	215	33	computationally	computationally	ADV
ajema-8275	215	34	intensive	intensive	ADJ
ajema-8275	215	35	multiple	multiple	ADJ
ajema-8275	215	36	sequence	sequence	NOUN
ajema-8275	215	37	alignment	alignment	NOUN
ajema-8275	215	38	(	(	PUNCT
ajema-8275	215	39	msa	msa	PROPN
ajema-8275	215	40	)	)	PUNCT
ajema-8275	215	41	problem	problem	NOUN
ajema-8275	215	42	.	.	PUNCT
ajema-8275	216	1	the	the	DET
ajema-8275	216	2	proposed	propose	VERB
ajema-8275	216	3	gwo51	gwo51	PROPN
ajema-8275	216	4	journal	journal	NOUN
ajema-8275	216	5	of	of	ADP
ajema-8275	216	6	engineering	engineering	NOUN
ajema-8275	216	7	,	,	PUNCT
ajema-8275	216	8	mechanics	mechanic	NOUN
ajema-8275	216	9	and	and	CCONJ
ajema-8275	216	10	architecture	architecture	NOUN
ajema-8275	216	11	www	www	NOUN
ajema-8275	216	12	.	.	PUNCT
ajema-8275	217	1	grnjournal.us	grnjournal.us	X
ajema-8275	217	2	agmo	agmo	NOUN
ajema-8275	217	3	method	method	NOUN
ajema-8275	217	4	was	be	AUX
ajema-8275	217	5	designed	design	VERB
ajema-8275	217	6	to	to	PART
ajema-8275	217	7	respond	respond	VERB
ajema-8275	217	8	the	the	DET
ajema-8275	217	9	challenges	challenge	NOUN
ajema-8275	217	10	of	of	ADP
ajema-8275	217	11	premature	premature	ADJ
ajema-8275	217	12	convergence	convergence	NOUN
ajema-8275	217	13	,	,	PUNCT
ajema-8275	217	14	limited	limited	ADJ
ajema-8275	217	15	exploration	exploration	NOUN
ajema-8275	217	16	,	,	PUNCT
ajema-8275	217	17	and	and	CCONJ
ajema-8275	217	18	alignment	alignment	ADJ
ajema-8275	217	19	quality	quality	NOUN
ajema-8275	217	20	degradation	degradation	NOUN
ajema-8275	217	21	often	often	ADV
ajema-8275	217	22	encountered	encounter	VERB
ajema-8275	217	23	in	in	ADP
ajema-8275	217	24	standard	standard	ADJ
ajema-8275	217	25	metaheuristic	metaheuristic	ADJ
ajema-8275	217	26	approaches	approach	NOUN
ajema-8275	217	27	.	.	PUNCT
ajema-8275	218	1	experimental	experimental	ADJ
ajema-8275	218	2	results	result	NOUN
ajema-8275	218	3	on	on	ADP
ajema-8275	218	4	the	the	DET
ajema-8275	218	5	balibase	balibase	NOUN
ajema-8275	218	6	benchmark	benchmark	NOUN
ajema-8275	218	7	datasets	dataset	NOUN
ajema-8275	218	8	demonstrated	demonstrate	VERB
ajema-8275	218	9	that	that	SCONJ
ajema-8275	218	10	gwo	gwo	PROPN
ajema-8275	218	11	-	-	ADJ
ajema-8275	218	12	agmo	agmo	ADJ
ajema-8275	218	13	significantly	significantly	ADV
ajema-8275	218	14	outperforms	outperform	VERB
ajema-8275	218	15	traditional	traditional	ADJ
ajema-8275	218	16	alignment	alignment	NOUN
ajema-8275	218	17	tools	tool	NOUN
ajema-8275	218	18	such	such	ADJ
ajema-8275	218	19	as	as	ADP
ajema-8275	218	20	clustalw	clustalw	NOUN
ajema-8275	218	21	,	,	PUNCT
ajema-8275	218	22	muscle	muscle	NOUN
ajema-8275	218	23	,	,	PUNCT
ajema-8275	218	24	and	and	CCONJ
ajema-8275	218	25	even	even	ADV
ajema-8275	218	26	the	the	DET
ajema-8275	218	27	baseline	baseline	ADJ
ajema-8275	218	28	gwo	gwo	PROPN
ajema-8275	218	29	algorithm	algorithm	PROPN
ajema-8275	218	30	in	in	ADP
ajema-8275	218	31	terms	term	NOUN
ajema-8275	218	32	of	of	ADP
ajema-8275	218	33	alignment	alignment	ADJ
ajema-8275	218	34	accuracy	accuracy	NOUN
ajema-8275	218	35	(	(	PUNCT
ajema-8275	218	36	sp	sp	NOUN
ajema-8275	218	37	and	and	CCONJ
ajema-8275	218	38	tc	tc	NUM
ajema-8275	218	39	scores	score	NOUN
ajema-8275	218	40	)	)	PUNCT
ajema-8275	218	41	,	,	PUNCT
ajema-8275	218	42	convergence	convergence	NOUN
ajema-8275	218	43	speed	speed	NOUN
ajema-8275	218	44	,	,	PUNCT
ajema-8275	218	45	and	and	CCONJ
ajema-8275	218	46	computational	computational	ADJ
ajema-8275	218	47	efficiency	efficiency	NOUN
ajema-8275	218	48	.	.	PUNCT
ajema-8275	219	1	statistical	statistical	ADJ
ajema-8275	219	2	tests	test	NOUN
ajema-8275	219	3	validated	validate	VERB
ajema-8275	219	4	that	that	SCONJ
ajema-8275	219	5	the	the	DET
ajema-8275	219	6	improvements	improvement	NOUN
ajema-8275	219	7	were	be	AUX
ajema-8275	219	8	n't	not	PART
ajema-8275	219	9	just	just	ADV
ajema-8275	219	10	substantial	substantial	ADJ
ajema-8275	219	11	,	,	PUNCT
ajema-8275	219	12	but	but	CCONJ
ajema-8275	219	13	also	also	ADV
ajema-8275	219	14	statistically	statistically	ADV
ajema-8275	219	15	significant	significant	ADJ
ajema-8275	219	16	.	.	PUNCT
ajema-8275	220	1	furthermore	furthermore	ADV
ajema-8275	220	2	,	,	PUNCT
ajema-8275	220	3	the	the	DET
ajema-8275	220	4	adaptive	adaptive	ADJ
ajema-8275	220	5	mutation	mutation	NOUN
ajema-8275	220	6	mechanism	mechanism	NOUN
ajema-8275	220	7	proved	prove	VERB
ajema-8275	220	8	effective	effective	ADJ
ajema-8275	220	9	in	in	ADP
ajema-8275	220	10	maintaining	maintain	VERB
ajema-8275	220	11	population	population	NOUN
ajema-8275	220	12	diversity	diversity	NOUN
ajema-8275	220	13	and	and	CCONJ
ajema-8275	220	14	preventing	prevent	VERB
ajema-8275	220	15	stagnation	stagnation	NOUN
ajema-8275	220	16	,	,	PUNCT
ajema-8275	220	17	especially	especially	ADV
ajema-8275	220	18	in	in	ADP
ajema-8275	220	19	highly	highly	ADV
ajema-8275	220	20	divergent	divergent	ADJ
ajema-8275	220	21	sequence	sequence	NOUN
ajema-8275	220	22	sets	set	NOUN
ajema-8275	220	23	.	.	PUNCT
ajema-8275	221	1	the	the	DET
ajema-8275	221	2	method	method	NOUN
ajema-8275	221	3	also	also	ADV
ajema-8275	221	4	showcased	showcase	VERB
ajema-8275	221	5	strong	strong	ADJ
ajema-8275	221	6	robustness	robustness	NOUN
ajema-8275	221	7	,	,	PUNCT
ajema-8275	221	8	with	with	ADP
ajema-8275	221	9	low	low	ADJ
ajema-8275	221	10	standard	standard	ADJ
ajema-8275	221	11	deviation	deviation	NOUN
ajema-8275	221	12	in	in	ADP
ajema-8275	221	13	repeated	repeat	VERB
ajema-8275	221	14	trials	trial	NOUN
ajema-8275	221	15	,	,	PUNCT
ajema-8275	221	16	and	and	CCONJ
ajema-8275	221	17	better	well	ADJ
ajema-8275	221	18	biological	biological	ADJ
ajema-8275	221	19	relevance	relevance	NOUN
ajema-8275	221	20	,	,	PUNCT
ajema-8275	221	21	as	as	SCONJ
ajema-8275	221	22	evidenced	evidence	VERB
ajema-8275	221	23	by	by	ADP
ajema-8275	221	24	accurate	accurate	ADJ
ajema-8275	221	25	alignment	alignment	NOUN
ajema-8275	221	26	of	of	ADP
ajema-8275	221	27	conserved	conserved	ADJ
ajema-8275	221	28	motifs	motif	NOUN
ajema-8275	221	29	and	and	CCONJ
ajema-8275	221	30	functional	functional	ADJ
ajema-8275	221	31	regions	region	NOUN
ajema-8275	221	32	.	.	PUNCT
ajema-8275	222	1	in	in	ADP
ajema-8275	222	2	conclusion	conclusion	NOUN
ajema-8275	222	3	,	,	PUNCT
ajema-8275	222	4	the	the	DET
ajema-8275	222	5	integration	integration	NOUN
ajema-8275	222	6	of	of	ADP
ajema-8275	222	7	agmo	agmo	NOUN
ajema-8275	222	8	within	within	ADP
ajema-8275	222	9	the	the	DET
ajema-8275	222	10	gwo	gwo	PROPN
ajema-8275	222	11	framework	framework	NOUN
ajema-8275	222	12	offers	offer	VERB
ajema-8275	222	13	a	a	DET
ajema-8275	222	14	powerful	powerful	ADJ
ajema-8275	222	15	and	and	CCONJ
ajema-8275	222	16	scalable	scalable	ADJ
ajema-8275	222	17	approach	approach	NOUN
ajema-8275	222	18	to	to	ADP
ajema-8275	222	19	msa	msa	PROPN
ajema-8275	222	20	.	.	PUNCT
ajema-8275	223	1	it	it	PRON
ajema-8275	223	2	holds	hold	VERB
ajema-8275	223	3	potential	potential	NOUN
ajema-8275	223	4	for	for	ADP
ajema-8275	223	5	wider	wide	ADJ
ajema-8275	223	6	adoption	adoption	NOUN
ajema-8275	223	7	in	in	ADP
ajema-8275	223	8	computational	computational	ADJ
ajema-8275	223	9	biology	biology	NOUN
ajema-8275	223	10	and	and	CCONJ
ajema-8275	223	11	bioinformatics	bioinformatics	NOUN
ajema-8275	223	12	pipelines	pipeline	NOUN
ajema-8275	223	13	,	,	PUNCT
ajema-8275	223	14	particularly	particularly	ADV
ajema-8275	223	15	for	for	ADP
ajema-8275	223	16	large	large	ADJ
ajema-8275	223	17	-	-	PUNCT
ajema-8275	223	18	scale	scale	NOUN
ajema-8275	223	19	genomic	genomic	NOUN
ajema-8275	223	20	studies	study	NOUN
ajema-8275	223	21	and	and	CCONJ
ajema-8275	223	22	evolutionary	evolutionary	ADJ
ajema-8275	223	23	analyses	analysis	NOUN
ajema-8275	223	24	.	.	PUNCT
ajema-8275	224	1	future	future	ADJ
ajema-8275	224	2	work	work	NOUN
ajema-8275	224	3	could	could	AUX
ajema-8275	224	4	explore	explore	VERB
ajema-8275	224	5	hybridization	hybridization	NOUN
ajema-8275	224	6	with	with	ADP
ajema-8275	224	7	deep	deep	ADJ
ajema-8275	224	8	learning	learning	NOUN
ajema-8275	224	9	models	model	NOUN
ajema-8275	224	10	or	or	CCONJ
ajema-8275	224	11	further	further	ADJ
ajema-8275	224	12	parameter	parameter	NOUN
ajema-8275	224	13	automation	automation	NOUN
ajema-8275	224	14	for	for	ADP
ajema-8275	224	15	even	even	ADV
ajema-8275	224	16	greater	great	ADJ
ajema-8275	224	17	adaptability	adaptability	NOUN
ajema-8275	224	18	.	.	PUNCT
ajema-8275	225	1	references	reference	NOUN
ajema-8275	225	2	1	1	NUM
ajema-8275	225	3	.	.	PUNCT
ajema-8275	226	1	smith	smith	PROPN
ajema-8275	226	2	,	,	PUNCT
ajema-8275	226	3	j.	j.	PROPN
ajema-8275	226	4	,	,	PUNCT
ajema-8275	226	5	&	&	CCONJ
ajema-8275	226	6	zhang	zhang	PROPN
ajema-8275	226	7	,	,	PUNCT
ajema-8275	226	8	l.	l.	PROPN
ajema-8275	226	9	(	(	PUNCT
ajema-8275	226	10	2020	2020	NUM
ajema-8275	226	11	)	)	PUNCT
ajema-8275	226	12	.	.	PUNCT
ajema-8275	227	1	improving	improve	VERB
ajema-8275	227	2	sequence	sequence	NOUN
ajema-8275	227	3	alignment	alignment	NOUN
ajema-8275	227	4	algorithms	algorithm	NOUN
ajema-8275	227	5	with	with	ADP
ajema-8275	227	6	natureinspired	natureinspired	ADJ
ajema-8275	227	7	optimization	optimization	NOUN
ajema-8275	227	8	techniques	technique	NOUN
ajema-8275	227	9	.	.	PUNCT
ajema-8275	228	1	journal	journal	NOUN
ajema-8275	228	2	of	of	ADP
ajema-8275	228	3	computational	computational	ADJ
ajema-8275	228	4	biology	biology	NOUN
ajema-8275	228	5	,	,	PUNCT
ajema-8275	228	6	35(4	35(4	NUM
ajema-8275	228	7	)	)	PUNCT
ajema-8275	228	8	,	,	PUNCT
ajema-8275	228	9	pp123–145	pp123–145	NOUN
ajema-8275	228	10	.	.	PUNCT
ajema-8275	229	1	2	2	X
ajema-8275	229	2	.	.	X
ajema-8275	229	3	jones	jones	PROPN
ajema-8275	229	4	,	,	PUNCT
ajema-8275	229	5	a.	a.	PROPN
ajema-8275	229	6	,	,	PUNCT
ajema-8275	229	7	&	&	CCONJ
ajema-8275	229	8	lee	lee	PROPN
ajema-8275	229	9	,	,	PUNCT
ajema-8275	229	10	m.	m.	NOUN
ajema-8275	229	11	(	(	PUNCT
ajema-8275	229	12	2018	2018	NUM
ajema-8275	229	13	)	)	PUNCT
ajema-8275	229	14	.	.	PUNCT
ajema-8275	230	1	a	a	DET
ajema-8275	230	2	comparative	comparative	ADJ
ajema-8275	230	3	study	study	NOUN
ajema-8275	230	4	of	of	ADP
ajema-8275	230	5	traditional	traditional	ADJ
ajema-8275	230	6	and	and	CCONJ
ajema-8275	230	7	modern	modern	ADJ
ajema-8275	230	8	msa	msa	PROPN
ajema-8275	230	9	methods	method	NOUN
ajema-8275	230	10	.	.	PUNCT
ajema-8275	231	1	bioinformatics	bioinformatic	NOUN
ajema-8275	231	2	review	review	PROPN
ajema-8275	231	3	,	,	PUNCT
ajema-8275	231	4	12(3),pp	12(3),pp	NUM
ajema-8275	231	5	250–265	250–265	NUM
ajema-8275	231	6	.	.	PUNCT
ajema-8275	232	1	3	3	NUM
ajema-8275	232	2	.	.	X
ajema-8275	232	3	alia	alia	PROPN
ajema-8275	232	4	,	,	PUNCT
ajema-8275	232	5	r.	r.	PROPN
ajema-8275	232	6	,	,	PUNCT
ajema-8275	232	7	&	&	CCONJ
ajema-8275	232	8	huang	huang	PROPN
ajema-8275	232	9	,	,	PUNCT
ajema-8275	232	10	x.	x.	NOUN
ajema-8275	232	11	(	(	PUNCT
ajema-8275	232	12	2019	2019	NUM
ajema-8275	232	13	)	)	PUNCT
ajema-8275	232	14	.	.	PUNCT
ajema-8275	233	1	using	use	VERB
ajema-8275	233	2	grey	grey	PROPN
ajema-8275	233	3	wolf	wolf	PROPN
ajema-8275	233	4	optimization	optimization	NOUN
ajema-8275	233	5	for	for	ADP
ajema-8275	233	6	bioinformatics	bioinformatics	NOUN
ajema-8275	233	7	problems	problem	NOUN
ajema-8275	233	8	:	:	PUNCT
ajema-8275	233	9	a	a	DET
ajema-8275	233	10	review	review	NOUN
ajema-8275	233	11	.	.	PUNCT
ajema-8275	234	1	bioinformatics	bioinformatic	NOUN
ajema-8275	234	2	methods	method	NOUN
ajema-8275	234	3	and	and	CCONJ
ajema-8275	234	4	applications	application	NOUN
ajema-8275	234	5	,	,	PUNCT
ajema-8275	234	6	27(5	27(5	PROPN
ajema-8275	234	7	)	)	PUNCT
ajema-8275	234	8	,	,	PUNCT
ajema-8275	234	9	pp321–337	pp321–337	NOUN
ajema-8275	234	10	.	.	PUNCT
ajema-8275	235	1	4	4	X
ajema-8275	235	2	.	.	X
ajema-8275	235	3	thompson	thompson	PROPN
ajema-8275	235	4	,	,	PUNCT
ajema-8275	235	5	j.	j.	PROPN
ajema-8275	235	6	d.	d.	PROPN
ajema-8275	235	7	,	,	PUNCT
ajema-8275	235	8	gibson	gibson	PROPN
ajema-8275	235	9	,	,	PUNCT
ajema-8275	235	10	t.	t.	PROPN
ajema-8275	235	11	j.	j.	PROPN
ajema-8275	235	12	,	,	PUNCT
ajema-8275	235	13	&	&	CCONJ
ajema-8275	235	14	plewniak	plewniak	PROPN
ajema-8275	235	15	,	,	PUNCT
ajema-8275	235	16	f.	f.	PROPN
ajema-8275	235	17	(	(	PUNCT
ajema-8275	235	18	2001	2001	NUM
ajema-8275	235	19	)	)	PUNCT
ajema-8275	235	20	.	.	PUNCT
ajema-8275	236	1	the	the	DET
ajema-8275	236	2	clustalx	clustalx	PROPN
ajema-8275	236	3	windows	windows	PROPN
ajema-8275	236	4	interface	interface	NOUN
ajema-8275	236	5	:	:	PUNCT
ajema-8275	236	6	flexible	flexible	ADJ
ajema-8275	236	7	strategies	strategy	NOUN
ajema-8275	236	8	for	for	ADP
ajema-8275	236	9	multiple	multiple	ADJ
ajema-8275	236	10	sequence	sequence	NOUN
ajema-8275	236	11	alignment	alignment	NOUN
ajema-8275	236	12	aided	aid	VERB
ajema-8275	236	13	by	by	ADP
ajema-8275	236	14	quality	quality	NOUN
ajema-8275	236	15	analysis	analysis	NOUN
ajema-8275	236	16	tools	tool	NOUN
ajema-8275	236	17	.	.	PUNCT
ajema-8275	237	1	nucleic	nucleic	ADJ
ajema-8275	237	2	acids	acid	NOUN
ajema-8275	237	3	research	research	NOUN
ajema-8275	237	4	,	,	PUNCT
ajema-8275	237	5	29(17	29(17	NUM
ajema-8275	237	6	)	)	PUNCT
ajema-8275	237	7	,	,	PUNCT
ajema-8275	237	8	3523–3529	3523–3529	NUM
ajema-8275	237	9	.	.	PUNCT
ajema-8275	238	1	5	5	NUM
ajema-8275	238	2	.	.	X
ajema-8275	238	3	edgar	edgar	PROPN
ajema-8275	238	4	,	,	PUNCT
ajema-8275	238	5	r.	r.	PROPN
ajema-8275	238	6	c.	c.	PROPN
ajema-8275	238	7	(	(	PUNCT
ajema-8275	238	8	2004	2004	NUM
ajema-8275	238	9	)	)	PUNCT
ajema-8275	238	10	.	.	PUNCT
ajema-8275	239	1	muscle	muscle	NOUN
ajema-8275	239	2	:	:	PUNCT
ajema-8275	239	3	a	a	DET
ajema-8275	239	4	multiple	multiple	ADJ
ajema-8275	239	5	sequence	sequence	NOUN
ajema-8275	239	6	alignment	alignment	NOUN
ajema-8275	239	7	method	method	NOUN
ajema-8275	239	8	with	with	ADP
ajema-8275	239	9	reduced	reduce	VERB
ajema-8275	239	10	time	time	NOUN
ajema-8275	239	11	and	and	CCONJ
ajema-8275	239	12	space	space	NOUN
ajema-8275	239	13	complexity	complexity	NOUN
ajema-8275	239	14	.	.	PUNCT
ajema-8275	240	1	bmc	bmc	ADJ
ajema-8275	240	2	bioinformatics	bioinformatics	PROPN
ajema-8275	240	3	,	,	PUNCT
ajema-8275	240	4	5	5	NUM
ajema-8275	240	5	,	,	PUNCT
ajema-8275	240	6	pp113	pp113	NOUN
ajema-8275	240	7	.	.	PUNCT
ajema-8275	241	1	6	6	X
ajema-8275	241	2	.	.	X
ajema-8275	242	1	liu	liu	PROPN
ajema-8275	242	2	,	,	PUNCT
ajema-8275	242	3	y.	y.	PROPN
ajema-8275	242	4	,	,	PUNCT
ajema-8275	242	5	wang	wang	PROPN
ajema-8275	242	6	,	,	PUNCT
ajema-8275	242	7	f.	f.	PROPN
ajema-8275	242	8	,	,	PUNCT
ajema-8275	242	9	&	&	CCONJ
ajema-8275	242	10	zhang	zhang	PROPN
ajema-8275	242	11	,	,	PUNCT
ajema-8275	242	12	z.	z.	PROPN
ajema-8275	242	13	(	(	PUNCT
ajema-8275	242	14	2020	2020	NUM
ajema-8275	242	15	)	)	PUNCT
ajema-8275	242	16	.	.	PUNCT
ajema-8275	243	1	grey	grey	PROPN
ajema-8275	243	2	wolf	wolf	PROPN
ajema-8275	243	3	optimization	optimization	NOUN
ajema-8275	243	4	and	and	CCONJ
ajema-8275	243	5	its	its	PRON
ajema-8275	243	6	applications	application	NOUN
ajema-8275	243	7	in	in	ADP
ajema-8275	243	8	bioinformatics	bioinformatics	NOUN
ajema-8275	243	9	:	:	PUNCT
ajema-8275	243	10	a	a	DET
ajema-8275	243	11	survey	survey	NOUN
ajema-8275	243	12	.	.	PUNCT
ajema-8275	244	1	soft	soft	ADJ
ajema-8275	244	2	computing	computing	NOUN
ajema-8275	244	3	,	,	PUNCT
ajema-8275	244	4	24(10	24(10	NUM
ajema-8275	244	5	)	)	PUNCT
ajema-8275	244	6	,	,	PUNCT
ajema-8275	244	7	7421–7435	7421–7435	NUM
ajema-8275	244	8	.	.	PUNCT
ajema-8275	245	1	7	7	X
ajema-8275	245	2	.	.	X
ajema-8275	245	3	zhang	zhang	PROPN
ajema-8275	245	4	,	,	PUNCT
ajema-8275	245	5	y.	y.	PROPN
ajema-8275	245	6	,	,	PUNCT
ajema-8275	245	7	&	&	CCONJ
ajema-8275	245	8	chen	chen	PROPN
ajema-8275	245	9	,	,	PUNCT
ajema-8275	245	10	l.	l.	PROPN
ajema-8275	245	11	(	(	PUNCT
ajema-8275	245	12	2019	2019	NUM
ajema-8275	245	13	)	)	PUNCT
ajema-8275	245	14	.	.	PUNCT
ajema-8275	246	1	improving	improve	VERB
ajema-8275	246	2	the	the	DET
ajema-8275	246	3	computational	computational	ADJ
ajema-8275	246	4	efficiency	efficiency	NOUN
ajema-8275	246	5	of	of	ADP
ajema-8275	246	6	sequence	sequence	NOUN
ajema-8275	246	7	alignment	alignment	NOUN
ajema-8275	246	8	using	use	VERB
ajema-8275	246	9	evolutionary	evolutionary	ADJ
ajema-8275	246	10	algorithms	algorithm	NOUN
ajema-8275	246	11	.	.	PUNCT
ajema-8275	247	1	journal	journal	NOUN
ajema-8275	247	2	of	of	ADP
ajema-8275	247	3	computational	computational	ADJ
ajema-8275	247	4	science	science	NOUN
ajema-8275	247	5	,	,	PUNCT
ajema-8275	247	6	27(2	27(2	NUM
ajema-8275	247	7	)	)	PUNCT
ajema-8275	247	8	,	,	PUNCT
ajema-8275	247	9	pp191	pp191	PROPN
ajema-8275	247	10	–	–	PUNCT
ajema-8275	247	11	204	204	NUM
ajema-8275	247	12	.	.	NOUN
ajema-8275	247	13	8	8	NUM
ajema-8275	247	14	.	.	X
ajema-8275	247	15	figueiredo	figueiredo	PROPN
ajema-8275	247	16	,	,	PUNCT
ajema-8275	247	17	m.	m.	NOUN
ajema-8275	247	18	,	,	PUNCT
ajema-8275	247	19	&	&	CCONJ
ajema-8275	247	20	rodrigues	rodrigues	PROPN
ajema-8275	247	21	,	,	PUNCT
ajema-8275	247	22	p.	p.	NOUN
ajema-8275	247	23	(	(	PUNCT
ajema-8275	247	24	2017	2017	NUM
ajema-8275	247	25	)	)	PUNCT
ajema-8275	247	26	.	.	PUNCT
ajema-8275	248	1	metaheuristic	metaheuristic	ADJ
ajema-8275	248	2	approaches	approach	NOUN
ajema-8275	248	3	for	for	ADP
ajema-8275	248	4	improving	improve	VERB
ajema-8275	248	5	the	the	DET
ajema-8275	248	6	performance	performance	NOUN
ajema-8275	248	7	of	of	ADP
ajema-8275	248	8	sequence	sequence	NOUN
ajema-8275	248	9	alignment	alignment	NOUN
ajema-8275	248	10	algorithms	algorithm	NOUN
ajema-8275	248	11	.	.	PUNCT
ajema-8275	249	1	international	international	ADJ
ajema-8275	249	2	journal	journal	PROPN
ajema-8275	249	3	of	of	ADP
ajema-8275	249	4	bioinformatics	bioinformatics	NOUN
ajema-8275	249	5	research	research	NOUN
ajema-8275	249	6	,	,	PUNCT
ajema-8275	249	7	15(6	15(6	NUM
ajema-8275	249	8	)	)	PUNCT
ajema-8275	249	9	,	,	PUNCT
ajema-8275	249	10	pp89–100	pp89–100	PROPN
ajema-8275	249	11	.	.	NOUN
ajema-8275	250	1	9	9	X
ajema-8275	250	2	.	.	X
ajema-8275	250	3	edgar	edgar	PROPN
ajema-8275	250	4	,	,	PUNCT
ajema-8275	250	5	r.	r.	PROPN
ajema-8275	250	6	c.	c.	PROPN
ajema-8275	250	7	,	,	PUNCT
ajema-8275	250	8	&	&	CCONJ
ajema-8275	250	9	batzoglou	batzoglou	PROPN
ajema-8275	250	10	,	,	PUNCT
ajema-8275	250	11	s.	s.	PROPN
ajema-8275	250	12	(	(	PUNCT
ajema-8275	250	13	2022	2022	NUM
ajema-8275	250	14	)	)	PUNCT
ajema-8275	250	15	.	.	PUNCT
ajema-8275	251	1	multiple	multiple	ADJ
ajema-8275	251	2	sequence	sequence	NOUN
ajema-8275	251	3	alignment	alignment	NOUN
ajema-8275	251	4	:	:	PUNCT
ajema-8275	251	5	methods	method	NOUN
ajema-8275	251	6	,	,	PUNCT
ajema-8275	251	7	challenges	challenge	NOUN
ajema-8275	251	8	,	,	PUNCT
ajema-8275	251	9	and	and	CCONJ
ajema-8275	251	10	advances	advance	NOUN
ajema-8275	251	11	.	.	PUNCT
ajema-8275	252	1	current	current	ADJ
ajema-8275	252	2	opinion	opinion	NOUN
ajema-8275	252	3	in	in	ADP
ajema-8275	252	4	structural	structural	ADJ
ajema-8275	252	5	biology	biology	NOUN
ajema-8275	252	6	,	,	PUNCT
ajema-8275	252	7	pp76	pp76	PROPN
ajema-8275	252	8	.	.	PROPN
ajema-8275	252	9	10	10	NUM
ajema-8275	252	10	.	.	X
ajema-8275	253	1	rahimi	rahimi	NOUN
ajema-8275	253	2	,	,	PUNCT
ajema-8275	253	3	m.	m.	NOUN
ajema-8275	253	4	,	,	PUNCT
ajema-8275	253	5	&	&	CCONJ
ajema-8275	253	6	zhang	zhang	PROPN
ajema-8275	253	7	,	,	PUNCT
ajema-8275	253	8	y.	y.	PROPN
ajema-8275	253	9	(	(	PUNCT
ajema-8275	253	10	2022	2022	NUM
ajema-8275	253	11	)	)	PUNCT
ajema-8275	253	12	.	.	PUNCT
ajema-8275	254	1	grey	grey	PROPN
ajema-8275	254	2	wolf	wolf	PROPN
ajema-8275	254	3	optimizer	optimizer	NOUN
ajema-8275	254	4	and	and	CCONJ
ajema-8275	254	5	its	its	PRON
ajema-8275	254	6	recent	recent	ADJ
ajema-8275	254	7	applications	application	NOUN
ajema-8275	254	8	in	in	ADP
ajema-8275	254	9	computational	computational	ADJ
ajema-8275	254	10	biology	biology	NOUN
ajema-8275	254	11	.	.	PUNCT
ajema-8275	255	1	biosystems	biosystems	PROPN
ajema-8275	255	2	,	,	PUNCT
ajema-8275	255	3	pp211	pp211	PROPN
ajema-8275	255	4	,	,	PUNCT
ajema-8275	255	5	11	11	NUM
ajema-8275	255	6	.	.	PUNCT
ajema-8275	256	1	singh	singh	PROPN
ajema-8275	256	2	,	,	PUNCT
ajema-8275	256	3	r.	r.	PROPN
ajema-8275	256	4	,	,	PUNCT
ajema-8275	256	5	&	&	CCONJ
ajema-8275	256	6	jha	jha	PROPN
ajema-8275	256	7	,	,	PUNCT
ajema-8275	256	8	n.	n.	PROPN
ajema-8275	256	9	(	(	PUNCT
ajema-8275	256	10	2022	2022	NUM
ajema-8275	256	11	)	)	PUNCT
ajema-8275	256	12	.	.	PUNCT
ajema-8275	257	1	adaptive	adaptive	ADJ
ajema-8275	257	2	operators	operator	NOUN
ajema-8275	257	3	in	in	ADP
ajema-8275	257	4	evolutionary	evolutionary	ADJ
ajema-8275	257	5	computation	computation	NOUN
ajema-8275	257	6	:	:	PUNCT
ajema-8275	257	7	a	a	DET
ajema-8275	257	8	review	review	NOUN
ajema-8275	257	9	of	of	ADP
ajema-8275	257	10	trends	trend	NOUN
ajema-8275	257	11	and	and	CCONJ
ajema-8275	257	12	innovations	innovation	NOUN
ajema-8275	257	13	.	.	PUNCT
ajema-8275	258	1	applied	apply	VERB
ajema-8275	258	2	soft	soft	ADJ
ajema-8275	258	3	computing	computing	NOUN
ajema-8275	258	4	,	,	PUNCT
ajema-8275	258	5	pp123	pp123	NOUN
ajema-8275	258	6	,	,	PUNCT
ajema-8275	258	7	12	12	NUM
ajema-8275	258	8	.	.	PUNCT
ajema-8275	259	1	zhang	zhang	PROPN
ajema-8275	259	2	,	,	PUNCT
ajema-8275	259	3	t.	t.	PROPN
ajema-8275	259	4	,	,	PUNCT
ajema-8275	259	5	&	&	CCONJ
ajema-8275	259	6	luo	luo	PROPN
ajema-8275	259	7	,	,	PUNCT
ajema-8275	259	8	y.	y.	PROPN
ajema-8275	259	9	(	(	PUNCT
ajema-8275	259	10	2022	2022	NUM
ajema-8275	259	11	)	)	PUNCT
ajema-8275	259	12	.	.	PUNCT
ajema-8275	260	1	hybrid	hybrid	ADJ
ajema-8275	260	2	metaheuristics	metaheuristic	NOUN
ajema-8275	260	3	for	for	ADP
ajema-8275	260	4	discrete	discrete	ADJ
ajema-8275	260	5	bioinformatics	bioinformatics	NOUN
ajema-8275	260	6	problems	problem	NOUN
ajema-8275	260	7	:	:	PUNCT
ajema-8275	260	8	a	a	DET
ajema-8275	260	9	case	case	NOUN
ajema-8275	260	10	of	of	ADP
ajema-8275	260	11	gwo	gwo	PROPN
ajema-8275	260	12	and	and	CCONJ
ajema-8275	260	13	mutation	mutation	NOUN
ajema-8275	260	14	integration	integration	NOUN
ajema-8275	260	15	.	.	PUNCT
ajema-8275	261	1	information	information	NOUN
ajema-8275	261	2	sciences	science	NOUN
ajema-8275	261	3	,	,	PUNCT
ajema-8275	261	4	597,pp	597,pp	PROPN
ajema-8275	261	5	224–238	224–238	NUM
ajema-8275	261	6	.	.	PUNCT
ajema-8275	262	1	52	52	NUM
ajema-8275	262	2	journal	journal	NOUN
ajema-8275	262	3	of	of	ADP
ajema-8275	262	4	engineering	engineering	NOUN
ajema-8275	262	5	,	,	PUNCT
ajema-8275	262	6	mechanics	mechanic	NOUN
ajema-8275	262	7	and	and	CCONJ
ajema-8275	262	8	architecture	architecture	NOUN
ajema-8275	262	9	www	www	NOUN
ajema-8275	262	10	.	.	PUNCT
ajema-8275	263	1	grnjournal.us	grnjournal.us	X
ajema-8275	263	2	13	13	NUM
ajema-8275	263	3	.	.	PUNCT
ajema-8275	264	1	jain	jain	PROPN
ajema-8275	264	2	,	,	PUNCT
ajema-8275	264	3	d.	d.	PROPN
ajema-8275	264	4	,	,	PUNCT
ajema-8275	264	5	&	&	CCONJ
ajema-8275	264	6	singh	singh	PROPN
ajema-8275	264	7	,	,	PUNCT
ajema-8275	264	8	a.	a.	NOUN
ajema-8275	264	9	(	(	PUNCT
ajema-8275	264	10	2023	2023	NUM
ajema-8275	264	11	)	)	PUNCT
ajema-8275	264	12	.	.	PUNCT
ajema-8275	265	1	hybrid	hybrid	ADJ
ajema-8275	265	2	metaheuristics	metaheuristic	NOUN
ajema-8275	265	3	for	for	ADP
ajema-8275	265	4	bioinformatics	bioinformatics	NOUN
ajema-8275	265	5	problems	problem	NOUN
ajema-8275	265	6	:	:	PUNCT
ajema-8275	265	7	a	a	DET
ajema-8275	265	8	review	review	NOUN
ajema-8275	265	9	and	and	CCONJ
ajema-8275	265	10	future	future	ADJ
ajema-8275	265	11	perspectives	perspective	NOUN
ajema-8275	265	12	.	.	PUNCT
ajema-8275	266	1	computational	computational	ADJ
ajema-8275	266	2	biology	biology	NOUN
ajema-8275	266	3	and	and	CCONJ
ajema-8275	266	4	chemistry	chemistry	NOUN
ajema-8275	266	5	,	,	PUNCT
ajema-8275	266	6	pp102	pp102	PROPN
ajema-8275	266	7	,	,	PUNCT
ajema-8275	266	8	14	14	NUM
ajema-8275	266	9	.	.	PUNCT
ajema-8275	267	1	verma	verma	PROPN
ajema-8275	267	2	,	,	PUNCT
ajema-8275	267	3	r.	r.	PROPN
ajema-8275	267	4	,	,	PUNCT
ajema-8275	267	5	&	&	CCONJ
ajema-8275	267	6	srivastava	srivastava	PROPN
ajema-8275	267	7	,	,	PUNCT
ajema-8275	267	8	s.	s.	PROPN
ajema-8275	267	9	(	(	PUNCT
ajema-8275	267	10	2022	2022	NUM
ajema-8275	267	11	)	)	PUNCT
ajema-8275	267	12	.	.	PUNCT
ajema-8275	268	1	grey	grey	PROPN
ajema-8275	268	2	wolf	wolf	PROPN
ajema-8275	268	3	optimizer	optimizer	NOUN
ajema-8275	268	4	with	with	ADP
ajema-8275	268	5	adaptive	adaptive	ADJ
ajema-8275	268	6	mutation	mutation	NOUN
ajema-8275	268	7	for	for	ADP
ajema-8275	268	8	biological	biological	ADJ
ajema-8275	268	9	sequence	sequence	NOUN
ajema-8275	268	10	alignment	alignment	NOUN
ajema-8275	268	11	.	.	PUNCT
ajema-8275	269	1	expert	expert	NOUN
ajema-8275	269	2	systems	system	NOUN
ajema-8275	269	3	with	with	ADP
ajema-8275	269	4	applications	application	NOUN
ajema-8275	269	5	,	,	PUNCT
ajema-8275	269	6	pp	pp	ADV
ajema-8275	269	7	203	203	NUM
ajema-8275	269	8	,	,	PUNCT
ajema-8275	269	9	.	.	PUNCT
ajema-8275	270	1	15	15	NUM
ajema-8275	270	2	.	.	X
ajema-8275	270	3	zhang	zhang	PROPN
ajema-8275	270	4	,	,	PUNCT
ajema-8275	270	5	h.	h.	PROPN
ajema-8275	270	6	,	,	PUNCT
ajema-8275	270	7	&	&	CCONJ
ajema-8275	270	8	wang	wang	PROPN
ajema-8275	270	9	,	,	PUNCT
ajema-8275	270	10	y.	y.	PROPN
ajema-8275	270	11	(	(	PUNCT
ajema-8275	270	12	2023	2023	NUM
ajema-8275	270	13	)	)	PUNCT
ajema-8275	270	14	.	.	PUNCT
ajema-8275	271	1	adaptive	adaptive	ADJ
ajema-8275	271	2	metaheuristic	metaheuristic	ADJ
ajema-8275	271	3	strategies	strategy	NOUN
ajema-8275	271	4	for	for	ADP
ajema-8275	271	5	complex	complex	ADJ
ajema-8275	271	6	bioinformatics	bioinformatic	NOUN
ajema-8275	271	7	optimization	optimization	NOUN
ajema-8275	271	8	.	.	PUNCT
ajema-8275	272	1	applied	apply	VERB
ajema-8275	272	2	soft	soft	ADJ
ajema-8275	272	3	computing	computing	NOUN
ajema-8275	272	4	,	,	PUNCT
ajema-8275	272	5	pp138	pp138	PROPN
ajema-8275	272	6	,	,	PUNCT
ajema-8275	272	7	.	.	PUNCT
ajema-8275	273	1	16	16	NUM
ajema-8275	273	2	.	.	PUNCT
ajema-8275	273	3	sharma	sharma	PROPN
ajema-8275	273	4	,	,	PUNCT
ajema-8275	273	5	k.	k.	PROPN
ajema-8275	273	6	,	,	PUNCT
ajema-8275	273	7	&	&	CCONJ
ajema-8275	273	8	patel	patel	PROPN
ajema-8275	273	9	,	,	PUNCT
ajema-8275	273	10	m.	m.	NOUN
ajema-8275	273	11	(	(	PUNCT
ajema-8275	273	12	2022	2022	NUM
ajema-8275	273	13	)	)	PUNCT
ajema-8275	273	14	.	.	PUNCT
ajema-8275	274	1	enhanced	enhance	VERB
ajema-8275	274	2	grey	grey	PROPN
ajema-8275	274	3	wolf	wolf	PROPN
ajema-8275	274	4	optimizer	optimizer	NOUN
ajema-8275	274	5	with	with	ADP
ajema-8275	274	6	guided	guide	VERB
ajema-8275	274	7	search	search	NOUN
ajema-8275	274	8	for	for	ADP
ajema-8275	274	9	multi	multi	ADJ
ajema-8275	274	10	-	-	ADJ
ajema-8275	274	11	sequence	sequence	ADJ
ajema-8275	274	12	alignment	alignment	NOUN
ajema-8275	274	13	.	.	PUNCT
ajema-8275	275	1	expert	expert	NOUN
ajema-8275	275	2	systems	system	NOUN
ajema-8275	275	3	with	with	ADP
ajema-8275	275	4	applications	application	NOUN
ajema-8275	275	5	,	,	PUNCT
ajema-8275	275	6	pp195	pp195	PROPN
ajema-8275	275	7	,	,	PUNCT
ajema-8275	275	8	.	.	PUNCT
ajema-8275	276	1	17	17	NUM
ajema-8275	276	2	.	.	PUNCT
ajema-8275	277	1	li	li	PROPN
ajema-8275	277	2	,	,	PUNCT
ajema-8275	277	3	z.	z.	PROPN
ajema-8275	277	4	,	,	PUNCT
ajema-8275	277	5	&	&	CCONJ
ajema-8275	277	6	du	du	PROPN
ajema-8275	277	7	,	,	PUNCT
ajema-8275	277	8	y.	y.	PROPN
ajema-8275	277	9	(	(	PUNCT
ajema-8275	277	10	2023	2023	NUM
ajema-8275	277	11	)	)	PUNCT
ajema-8275	277	12	.	.	PUNCT
ajema-8275	278	1	a	a	DET
ajema-8275	278	2	comprehensive	comprehensive	ADJ
ajema-8275	278	3	review	review	NOUN
ajema-8275	278	4	of	of	ADP
ajema-8275	278	5	metaheuristic	metaheuristic	ADJ
ajema-8275	278	6	-	-	PUNCT
ajema-8275	278	7	based	base	VERB
ajema-8275	278	8	sequence	sequence	NOUN
ajema-8275	278	9	alignment	alignment	NOUN
ajema-8275	278	10	techniques	technique	NOUN
ajema-8275	278	11	.	.	PUNCT
ajema-8275	279	1	bioinformatics	bioinformatics	NOUN
ajema-8275	279	2	and	and	CCONJ
ajema-8275	279	3	systems	system	NOUN
ajema-8275	279	4	biology	biology	NOUN
ajema-8275	279	5	,	,	PUNCT
ajema-8275	279	6	pp11(2	pp11(2	PROPN
ajema-8275	279	7	)	)	PUNCT
ajema-8275	279	8	,	,	PUNCT
ajema-8275	279	9	89–103	89–103	PROPN
ajema-8275	279	10	.	.	PROPN
ajema-8275	279	11	18	18	NUM
ajema-8275	279	12	.	.	PUNCT
ajema-8275	280	1	kumar	kumar	PROPN
ajema-8275	280	2	,	,	PUNCT
ajema-8275	280	3	m.	m.	NOUN
ajema-8275	280	4	,	,	PUNCT
ajema-8275	280	5	&	&	CCONJ
ajema-8275	280	6	tiwari	tiwari	PROPN
ajema-8275	280	7	,	,	PUNCT
ajema-8275	280	8	a.	a.	NOUN
ajema-8275	280	9	(	(	PUNCT
ajema-8275	280	10	2022	2022	NUM
ajema-8275	280	11	)	)	PUNCT
ajema-8275	280	12	.	.	PUNCT
ajema-8275	281	1	evaluating	evaluate	VERB
ajema-8275	281	2	the	the	DET
ajema-8275	281	3	robustness	robustness	NOUN
ajema-8275	281	4	of	of	ADP
ajema-8275	281	5	metaheuristic	metaheuristic	ADJ
ajema-8275	281	6	algorithms	algorithm	NOUN
ajema-8275	281	7	in	in	ADP
ajema-8275	281	8	biosequence	biosequence	NOUN
ajema-8275	281	9	analysis	analysis	NOUN
ajema-8275	281	10	.	.	PUNCT
ajema-8275	282	1	journal	journal	NOUN
ajema-8275	282	2	of	of	ADP
ajema-8275	282	3	computational	computational	ADJ
ajema-8275	282	4	biology	biology	NOUN
ajema-8275	282	5	,	,	PUNCT
ajema-8275	282	6	pp29(9	pp29(9	PROPN
ajema-8275	282	7	)	)	PUNCT
ajema-8275	282	8	,	,	PUNCT
ajema-8275	282	9	.	.	PUNCT
ajema-8275	283	1	19	19	NUM
ajema-8275	283	2	.	.	X
ajema-8275	284	1	das	das	PROPN
ajema-8275	284	2	,	,	PUNCT
ajema-8275	284	3	r.	r.	PROPN
ajema-8275	284	4	,	,	PUNCT
ajema-8275	284	5	&	&	CCONJ
ajema-8275	284	6	mohanty	mohanty	PROPN
ajema-8275	284	7	,	,	PUNCT
ajema-8275	284	8	s.	s.	PROPN
ajema-8275	284	9	(	(	PUNCT
ajema-8275	284	10	2023	2023	NUM
ajema-8275	284	11	)	)	PUNCT
ajema-8275	284	12	.	.	PUNCT
ajema-8275	285	1	hybrid	hybrid	ADJ
ajema-8275	285	2	evolutionary	evolutionary	ADJ
ajema-8275	285	3	models	model	NOUN
ajema-8275	285	4	for	for	ADP
ajema-8275	285	5	biological	biological	ADJ
ajema-8275	285	6	sequence	sequence	NOUN
ajema-8275	285	7	analysis	analysis	NOUN
ajema-8275	285	8	.	.	PUNCT
ajema-8275	286	1	artificial	artificial	ADJ
ajema-8275	286	2	intelligence	intelligence	NOUN
ajema-8275	286	3	in	in	ADP
ajema-8275	286	4	life	life	NOUN
ajema-8275	286	5	sciences	science	NOUN
ajema-8275	286	6	,	,	PUNCT
ajema-8275	286	7	pp3(4	pp3(4	NOUN
ajema-8275	286	8	)	)	PUNCT
ajema-8275	286	9	,	,	PUNCT
ajema-8275	286	10	.	.	PUNCT
ajema-8275	287	1	20	20	NUM
ajema-8275	287	2	.	.	X
ajema-8275	287	3	banerjee	banerjee	PROPN
ajema-8275	287	4	,	,	PUNCT
ajema-8275	287	5	s.	s.	PROPN
ajema-8275	287	6	,	,	PUNCT
ajema-8275	287	7	&	&	CCONJ
ajema-8275	287	8	prasad	prasad	PROPN
ajema-8275	287	9	,	,	PUNCT
ajema-8275	287	10	m.	m.	NOUN
ajema-8275	287	11	(	(	PUNCT
ajema-8275	287	12	2022	2022	NUM
ajema-8275	287	13	)	)	PUNCT
ajema-8275	287	14	.	.	PUNCT
ajema-8275	288	1	metaheuristic	metaheuristic	ADJ
ajema-8275	288	2	optimization	optimization	NOUN
ajema-8275	288	3	in	in	ADP
ajema-8275	288	4	msa	msa	PROPN
ajema-8275	288	5	:	:	PUNCT
ajema-8275	288	6	performance	performance	NOUN
ajema-8275	288	7	and	and	CCONJ
ajema-8275	288	8	reliability	reliability	NOUN
ajema-8275	288	9	assessment	assessment	NOUN
ajema-8275	288	10	.	.	PUNCT
ajema-8275	289	1	computers	computer	NOUN
ajema-8275	289	2	in	in	ADP
ajema-8275	289	3	biology	biology	NOUN
ajema-8275	289	4	and	and	CCONJ
ajema-8275	289	5	medicine	medicine	NOUN
ajema-8275	289	6	,	,	PUNCT
ajema-8275	289	7	pp144	pp144	PROPN
ajema-8275	289	8	,	,	PUNCT
ajema-8275	289	9	.	.	PUNCT
ajema-8275	290	1	21	21	NUM
ajema-8275	290	2	.	.	X
ajema-8275	290	3	faheem	faheem	PROPN
ajema-8275	290	4	,	,	PUNCT
ajema-8275	290	5	m.	m.	NOUN
ajema-8275	290	6	,	,	PUNCT
ajema-8275	290	7	aslam	aslam	PROPN
ajema-8275	290	8	,	,	PUNCT
ajema-8275	290	9	m.	m.	NOUN
ajema-8275	290	10	,	,	PUNCT
ajema-8275	290	11	&	&	CCONJ
ajema-8275	290	12	hussain	hussain	PROPN
ajema-8275	290	13	,	,	PUNCT
ajema-8275	290	14	m.	m.	NOUN
ajema-8275	290	15	(	(	PUNCT
ajema-8275	290	16	2022	2022	NUM
ajema-8275	290	17	)	)	PUNCT
ajema-8275	290	18	.	.	PUNCT
ajema-8275	291	1	an	an	DET
ajema-8275	291	2	enhanced	enhance	VERB
ajema-8275	291	3	grey	grey	ADJ
ajema-8275	291	4	wolf	wolf	PROPN
ajema-8275	291	5	optimizer	optimizer	NOUN
ajema-8275	291	6	with	with	ADP
ajema-8275	291	7	adaptive	adaptive	ADJ
ajema-8275	291	8	mechanisms	mechanism	NOUN
ajema-8275	291	9	for	for	ADP
ajema-8275	291	10	optimization	optimization	NOUN
ajema-8275	291	11	problems	problem	NOUN
ajema-8275	291	12	.	.	PUNCT
ajema-8275	292	1	applied	apply	VERB
ajema-8275	292	2	soft	soft	ADJ
ajema-8275	292	3	computing	computing	NOUN
ajema-8275	292	4	,	,	PUNCT
ajema-8275	292	5	pp	pp	ADP
ajema-8275	292	6	121	121	NUM
ajema-8275	292	7	,	,	PUNCT
ajema-8275	292	8	.	.	PUNCT
ajema-8275	293	1	22	22	NUM
ajema-8275	293	2	.	.	X
ajema-8275	294	1	zhang	zhang	PROPN
ajema-8275	294	2	,	,	PUNCT
ajema-8275	294	3	y.	y.	PROPN
ajema-8275	294	4	,	,	PUNCT
ajema-8275	294	5	&	&	CCONJ
ajema-8275	294	6	liu	liu	PROPN
ajema-8275	294	7	,	,	PUNCT
ajema-8275	294	8	x.	x.	NOUN
ajema-8275	294	9	(	(	PUNCT
ajema-8275	294	10	2023	2023	NUM
ajema-8275	294	11	)	)	PUNCT
ajema-8275	294	12	.	.	PUNCT
ajema-8275	295	1	differential	differential	ADJ
ajema-8275	295	2	evolution	evolution	NOUN
ajema-8275	295	3	enhanced	enhance	VERB
ajema-8275	295	4	metaheuristic	metaheuristic	ADJ
ajema-8275	295	5	for	for	ADP
ajema-8275	295	6	highdimensional	highdimensional	NOUN
ajema-8275	295	7	biosequence	biosequence	NOUN
ajema-8275	295	8	alignment	alignment	NOUN
ajema-8275	295	9	.	.	PUNCT
ajema-8275	296	1	expert	expert	NOUN
ajema-8275	296	2	systems	system	NOUN
ajema-8275	296	3	with	with	ADP
ajema-8275	296	4	applications	application	NOUN
ajema-8275	296	5	,	,	PUNCT
ajema-8275	296	6	pp211	pp211	PROPN
ajema-8275	296	7	,	,	PUNCT
ajema-8275	296	8	.	.	PUNCT
ajema-8275	297	1	23	23	NUM
ajema-8275	297	2	.	.	X
ajema-8275	298	1	thompson	thompson	PROPN
ajema-8275	298	2	,	,	PUNCT
ajema-8275	298	3	j.	j.	PROPN
ajema-8275	298	4	d.	d.	PROPN
ajema-8275	298	5	,	,	PUNCT
ajema-8275	298	6	linard	linard	PROPN
ajema-8275	298	7	,	,	PUNCT
ajema-8275	298	8	b.	b.	PROPN
ajema-8275	298	9	,	,	PUNCT
ajema-8275	298	10	lecompte	lecompte	PROPN
ajema-8275	298	11	,	,	PUNCT
ajema-8275	298	12	o.	o.	PROPN
ajema-8275	298	13	,	,	PUNCT
ajema-8275	298	14	&	&	CCONJ
ajema-8275	298	15	poch	poch	PROPN
ajema-8275	298	16	,	,	PUNCT
ajema-8275	298	17	o.	o.	PROPN
ajema-8275	298	18	(	(	PUNCT
ajema-8275	298	19	2022	2022	NUM
ajema-8275	298	20	)	)	PUNCT
ajema-8275	298	21	.	.	PUNCT
ajema-8275	299	1	a	a	DET
ajema-8275	299	2	comprehensive	comprehensive	ADJ
ajema-8275	299	3	benchmark	benchmark	NOUN
ajema-8275	299	4	study	study	NOUN
ajema-8275	299	5	of	of	ADP
ajema-8275	299	6	multiple	multiple	ADJ
ajema-8275	299	7	sequence	sequence	NOUN
ajema-8275	299	8	alignment	alignment	NOUN
ajema-8275	299	9	tools	tool	NOUN
ajema-8275	299	10	using	use	VERB
ajema-8275	299	11	balibase	balibase	PROPN
ajema-8275	299	12	3.0	3.0	NUM
ajema-8275	299	13	.	.	PUNCT
ajema-8275	300	1	bioinformatics	bioinformatic	NOUN
ajema-8275	300	2	,	,	PUNCT
ajema-8275	300	3	pp38(3	pp38(3	PROPN
ajema-8275	300	4	)	)	PUNCT
ajema-8275	300	5	,	,	PUNCT
ajema-8275	300	6	.	.	PUNCT
ajema-8275	301	1	24	24	NUM
ajema-8275	301	2	.	.	X
ajema-8275	301	3	raghava	raghava	PROPN
ajema-8275	301	4	,	,	PUNCT
ajema-8275	301	5	g.	g.	PROPN
ajema-8275	301	6	p.	p.	PROPN
ajema-8275	301	7	s.	s.	PROPN
ajema-8275	301	8	,	,	PUNCT
ajema-8275	301	9	&	&	CCONJ
ajema-8275	301	10	misra	misra	PROPN
ajema-8275	301	11	,	,	PUNCT
ajema-8275	301	12	n.	n.	NOUN
ajema-8275	301	13	(	(	PUNCT
ajema-8275	301	14	2023	2023	NUM
ajema-8275	301	15	)	)	PUNCT
ajema-8275	301	16	.	.	PUNCT
ajema-8275	302	1	comparative	comparative	ADJ
ajema-8275	302	2	assessment	assessment	NOUN
ajema-8275	302	3	of	of	ADP
ajema-8275	302	4	msa	msa	PROPN
ajema-8275	302	5	tools	tool	NOUN
ajema-8275	302	6	on	on	ADP
ajema-8275	302	7	structural	structural	ADJ
ajema-8275	302	8	alignment	alignment	NOUN
ajema-8275	302	9	benchmarks	benchmark	NOUN
ajema-8275	302	10	.	.	PUNCT
ajema-8275	303	1	briefings	briefing	NOUN
ajema-8275	303	2	in	in	ADP
ajema-8275	303	3	bioinformatics	bioinformatics	NOUN
ajema-8275	303	4	,	,	PUNCT
ajema-8275	303	5	pp24(1	pp24(1	NOUN
ajema-8275	303	6	)	)	PUNCT
ajema-8275	303	7	,	,	PUNCT
ajema-8275	303	8	.	.	PUNCT