id	sid	tid	token	lemma	pos
bracis-28406	1	1	binary	binary	ADJ
bracis-28406	1	2	flying	flying	NOUN
bracis-28406	1	3	squirrel	squirrel	NOUN
bracis-28406	1	4	optimizer	optimizer	NOUN
bracis-28406	1	5	for	for	ADP
bracis-28406	1	6	 	 	SPACE
bracis-28406	1	7	feature	feature	NOUN
bracis-28406	1	8	selection	selection	NOUN
bracis-28406	1	9	|	|	NOUN
bracis-28406	1	10	springer	springer	NOUN
bracis-28406	1	11	nature	nature	PROPN
bracis-28406	1	12	link	link	PROPN
bracis-28406	1	13	(	(	PUNCT
bracis-28406	1	14	formerly	formerly	ADV
bracis-28406	1	15	springerlink	springerlink	NOUN
bracis-28406	1	16	)	)	PUNCT
bracis-28406	1	17	skip	skip	VERB
bracis-28406	1	18	to	to	ADP
bracis-28406	1	19	main	main	ADJ
bracis-28406	1	20	content	content	NOUN
bracis-28406	1	21	advertisement	advertisement	NOUN
bracis-28406	1	22	log	log	NOUN
bracis-28406	1	23	in	in	ADP
bracis-28406	1	24	menu	menu	NOUN
bracis-28406	1	25	find	find	VERB
bracis-28406	1	26	a	a	DET
bracis-28406	1	27	journal	journal	NOUN
bracis-28406	1	28	publish	publish	VERB
bracis-28406	1	29	with	with	ADP
bracis-28406	1	30	us	we	PRON
bracis-28406	1	31	track	track	VERB
bracis-28406	1	32	your	your	PRON
bracis-28406	1	33	research	research	NOUN
bracis-28406	1	34	search	search	NOUN
bracis-28406	1	35	cart	cart	NOUN
bracis-28406	1	36	home	home	NOUN
bracis-28406	1	37	intelligent	intelligent	ADJ
bracis-28406	1	38	systems	system	NOUN
bracis-28406	1	39	conference	conference	NOUN
bracis-28406	1	40	paper	paper	NOUN
bracis-28406	1	41	binary	binary	NOUN
bracis-28406	1	42	flying	flying	NOUN
bracis-28406	1	43	squirrel	squirrel	NOUN
bracis-28406	1	44	optimizer	optimizer	NOUN
bracis-28406	1	45	for	for	ADP
bracis-28406	1	46	 	 	SPACE
bracis-28406	1	47	feature	feature	NOUN
bracis-28406	1	48	selection	selection	NOUN
bracis-28406	1	49	conference	conference	NOUN
bracis-28406	1	50	paper	paper	NOUN
bracis-28406	1	51	first	first	ADV
bracis-28406	1	52	online	online	ADV
bracis-28406	1	53	:	:	PUNCT
bracis-28406	1	54	12	12	NUM
bracis-28406	1	55	october	october	NOUN
bracis-28406	1	56	2023	2023	NUM
bracis-28406	1	57	pp	pp	ADP
bracis-28406	1	58	51–64	51–64	PROPN
bracis-28406	1	59	cite	cite	VERB
bracis-28406	1	60	this	this	DET
bracis-28406	1	61	conference	conference	NOUN
bracis-28406	1	62	paper	paper	NOUN
bracis-28406	1	63	access	access	NOUN
bracis-28406	1	64	provided	provide	VERB
bracis-28406	1	65	by	by	ADP
bracis-28406	1	66	university	university	PROPN
bracis-28406	1	67	of	of	ADP
bracis-28406	1	68	notre	notre	PROPN
bracis-28406	1	69	dame	dame	PROPN
bracis-28406	1	70	hesburgh	hesburgh	PROPN
bracis-28406	1	71	library	library	PROPN
bracis-28406	1	72	download	download	PROPN
bracis-28406	1	73	book	book	NOUN
bracis-28406	1	74	pdf	pdf	PROPN
bracis-28406	1	75	download	download	NOUN
bracis-28406	1	76	book	book	NOUN
bracis-28406	1	77	epub	epub	PROPN
bracis-28406	1	78	intelligent	intelligent	ADJ
bracis-28406	1	79	systems	system	NOUN
bracis-28406	1	80	(	(	PUNCT
bracis-28406	1	81	bracis	bracis	NOUN
bracis-28406	1	82	2023	2023	NUM
bracis-28406	1	83	)	)	PUNCT
bracis-28406	1	84	binary	binary	ADJ
bracis-28406	1	85	flying	flying	NOUN
bracis-28406	1	86	squirrel	squirrel	NOUN
bracis-28406	1	87	optimizer	optimizer	NOUN
bracis-28406	1	88	for	for	ADP
bracis-28406	1	89	 	 	SPACE
bracis-28406	1	90	feature	feature	NOUN
bracis-28406	1	91	selection	selection	NOUN
bracis-28406	1	92	download	download	NOUN
bracis-28406	1	93	book	book	NOUN
bracis-28406	1	94	pdf	pdf	PROPN
bracis-28406	1	95	download	download	NOUN
bracis-28406	1	96	book	book	PROPN
bracis-28406	1	97	epub	epub	PROPN
bracis-28406	1	98	luiz	luiz	PROPN
bracis-28406	1	99	fernando	fernando	PROPN
bracis-28406	1	100	merli	merli	PROPN
bracis-28406	1	101	de	de	PROPN
bracis-28406	1	102	oliveira	oliveira	PROPN
bracis-28406	1	103	sementille9	sementille9	PROPN
bracis-28406	1	104	,	,	PUNCT
bracis-28406	1	105	douglas	douglas	PROPN
bracis-28406	1	106	rodrigues9	rodrigues9	PROPN
bracis-28406	1	107	,	,	PUNCT
bracis-28406	1	108	andré	andré	VERB
bracis-28406	1	109	nunes	nunes	PROPN
bracis-28406	1	110	de	de	X
bracis-28406	1	111	souuza9	souuza9	PROPN
bracis-28406	1	112	&	&	CCONJ
bracis-28406	1	113	…	…	PUNCT
bracis-28406	1	114	joão	joão	PROPN
bracis-28406	1	115	paulo	paulo	PROPN
bracis-28406	1	116	papa9	papa9	PROPN
bracis-28406	1	117	  	  	SPACE
bracis-28406	1	118	show	show	NOUN
bracis-28406	1	119	authors	author	NOUN
bracis-28406	1	120	part	part	NOUN
bracis-28406	1	121	of	of	ADP
bracis-28406	1	122	the	the	DET
bracis-28406	1	123	book	book	NOUN
bracis-28406	1	124	series	series	NOUN
bracis-28406	1	125	:	:	PUNCT
bracis-28406	1	126	lecture	lecture	NOUN
bracis-28406	1	127	notes	note	NOUN
bracis-28406	1	128	in	in	ADP
bracis-28406	1	129	computer	computer	NOUN
bracis-28406	1	130	science	science	NOUN
bracis-28406	1	131	(	(	PUNCT
bracis-28406	1	132	(	(	PUNCT
bracis-28406	1	133	lnai	lnai	ADJ
bracis-28406	1	134	,	,	PUNCT
bracis-28406	1	135	volume	volume	NOUN
bracis-28406	1	136	14197	14197	NUM
bracis-28406	1	137	)	)	PUNCT
bracis-28406	1	138	)	)	PUNCT
bracis-28406	1	139	included	include	VERB
bracis-28406	1	140	in	in	ADP
bracis-28406	1	141	the	the	DET
bracis-28406	1	142	following	follow	VERB
bracis-28406	1	143	conference	conference	NOUN
bracis-28406	1	144	series	series	NOUN
bracis-28406	1	145	:	:	PUNCT
bracis-28406	1	146	brazilian	brazilian	ADJ
bracis-28406	1	147	conference	conference	NOUN
bracis-28406	1	148	on	on	ADP
bracis-28406	1	149	intelligent	intelligent	ADJ
bracis-28406	1	150	systems	system	NOUN
bracis-28406	1	151	532	532	NUM
bracis-28406	1	152	accesses	access	NOUN
bracis-28406	1	153	abstract	abstract	ADJ
bracis-28406	1	154	bio	bio	ADJ
bracis-28406	1	155	-	-	PUNCT
bracis-28406	1	156	inspired	inspire	VERB
bracis-28406	1	157	optimization	optimization	NOUN
bracis-28406	1	158	algorithms	algorithm	NOUN
bracis-28406	1	159	aim	aim	VERB
bracis-28406	1	160	to	to	PART
bracis-28406	1	161	address	address	VERB
bracis-28406	1	162	the	the	DET
bracis-28406	1	163	most	most	ADV
bracis-28406	1	164	diverse	diverse	ADJ
bracis-28406	1	165	problems	problem	NOUN
bracis-28406	1	166	without	without	ADP
bracis-28406	1	167	the	the	DET
bracis-28406	1	168	need	need	NOUN
bracis-28406	1	169	for	for	ADP
bracis-28406	1	170	derivatives	derivative	NOUN
bracis-28406	1	171	,	,	PUNCT
bracis-28406	1	172	and	and	CCONJ
bracis-28406	1	173	they	they	PRON
bracis-28406	1	174	are	be	AUX
bracis-28406	1	175	independent	independent	ADJ
bracis-28406	1	176	of	of	ADP
bracis-28406	1	177	the	the	DET
bracis-28406	1	178	shape	shape	NOUN
bracis-28406	1	179	of	of	ADP
bracis-28406	1	180	the	the	DET
bracis-28406	1	181	search	search	NOUN
bracis-28406	1	182	space	space	NOUN
bracis-28406	1	183	.	.	PUNCT
bracis-28406	2	1	the	the	DET
bracis-28406	2	2	flying	fly	VERB
bracis-28406	2	3	squirrel	squirrel	NOUN
bracis-28406	2	4	optimizer	optimizer	NOUN
bracis-28406	2	5	belongs	belong	VERB
bracis-28406	2	6	to	to	ADP
bracis-28406	2	7	the	the	DET
bracis-28406	2	8	family	family	NOUN
bracis-28406	2	9	of	of	ADP
bracis-28406	2	10	bio	bio	PROPN
bracis-28406	2	11	-	-	PUNCT
bracis-28406	2	12	inspired	inspire	VERB
bracis-28406	2	13	algorithms	algorithm	NOUN
bracis-28406	2	14	and	and	CCONJ
bracis-28406	2	15	simulates	simulate	VERB
bracis-28406	2	16	the	the	DET
bracis-28406	2	17	movement	movement	NOUN
bracis-28406	2	18	of	of	ADP
bracis-28406	2	19	flying	fly	VERB
bracis-28406	2	20	squirrels	squirrel	NOUN
bracis-28406	2	21	from	from	ADP
bracis-28406	2	22	tree	tree	NOUN
bracis-28406	2	23	to	to	ADP
bracis-28406	2	24	tree	tree	NOUN
bracis-28406	2	25	in	in	ADP
bracis-28406	2	26	search	search	NOUN
bracis-28406	2	27	of	of	ADP
bracis-28406	2	28	food	food	NOUN
bracis-28406	2	29	.	.	PUNCT
bracis-28406	3	1	this	this	DET
bracis-28406	3	2	paper	paper	NOUN
bracis-28406	3	3	proposes	propose	VERB
bracis-28406	3	4	a	a	DET
bracis-28406	3	5	binary	binary	ADJ
bracis-28406	3	6	version	version	NOUN
bracis-28406	3	7	of	of	ADP
bracis-28406	3	8	the	the	DET
bracis-28406	3	9	flying	fly	VERB
bracis-28406	3	10	squirrel	squirrel	NOUN
bracis-28406	3	11	optimizer	optimizer	NOUN
bracis-28406	3	12	for	for	ADP
bracis-28406	3	13	feature	feature	NOUN
bracis-28406	3	14	selection	selection	NOUN
bracis-28406	3	15	problems	problem	NOUN
bracis-28406	3	16	.	.	PUNCT
bracis-28406	4	1	to	to	PART
bracis-28406	4	2	elucidate	elucidate	VERB
bracis-28406	4	3	the	the	DET
bracis-28406	4	4	performance	performance	NOUN
bracis-28406	4	5	of	of	ADP
bracis-28406	4	6	the	the	DET
bracis-28406	4	7	proposed	propose	VERB
bracis-28406	4	8	algorithm	algorithm	NOUN
bracis-28406	4	9	,	,	PUNCT
bracis-28406	4	10	we	we	PRON
bracis-28406	4	11	employed	employ	VERB
bracis-28406	4	12	six	six	NUM
bracis-28406	4	13	other	other	ADJ
bracis-28406	4	14	well	well	ADV
bracis-28406	4	15	-	-	PUNCT
bracis-28406	4	16	known	know	VERB
bracis-28406	4	17	bio	bio	NOUN
bracis-28406	4	18	-	-	PUNCT
bracis-28406	4	19	inspired	inspire	VERB
bracis-28406	4	20	algorithms	algorithm	NOUN
bracis-28406	4	21	for	for	ADP
bracis-28406	4	22	comparison	comparison	NOUN
bracis-28406	4	23	purposes	purpose	NOUN
bracis-28406	4	24	in	in	ADP
bracis-28406	4	25	sixteen	sixteen	NUM
bracis-28406	4	26	benchmark	benchmark	ADJ
bracis-28406	4	27	datasets	dataset	NOUN
bracis-28406	4	28	widely	widely	ADV
bracis-28406	4	29	known	know	VERB
bracis-28406	4	30	in	in	ADP
bracis-28406	4	31	the	the	DET
bracis-28406	4	32	literature	literature	NOUN
bracis-28406	4	33	.	.	PUNCT
bracis-28406	5	1	furthermore	furthermore	ADV
bracis-28406	5	2	,	,	PUNCT
bracis-28406	5	3	we	we	PRON
bracis-28406	5	4	employ	employ	VERB
bracis-28406	5	5	the	the	DET
bracis-28406	5	6	binary	binary	ADJ
bracis-28406	5	7	flying	fly	VERB
bracis-28406	5	8	squirrel	squirrel	NOUN
bracis-28406	5	9	optimizer	optimizer	NOUN
bracis-28406	5	10	in	in	ADP
bracis-28406	5	11	selecting	select	VERB
bracis-28406	5	12	gas	gas	NOUN
bracis-28406	5	13	concentrations	concentration	NOUN
bracis-28406	5	14	to	to	PART
bracis-28406	5	15	identify	identify	VERB
bracis-28406	5	16	faults	fault	NOUN
bracis-28406	5	17	in	in	ADP
bracis-28406	5	18	power	power	NOUN
bracis-28406	5	19	transformers	transformer	NOUN
bracis-28406	5	20	.	.	PUNCT
bracis-28406	6	1	the	the	DET
bracis-28406	6	2	results	result	NOUN
bracis-28406	6	3	expressed	express	VERB
bracis-28406	6	4	that	that	SCONJ
bracis-28406	6	5	binary	binary	ADJ
bracis-28406	6	6	flying	fly	VERB
bracis-28406	6	7	squirrell	squirrell	NOUN
bracis-28406	6	8	optimizer	optimizer	NOUN
bracis-28406	6	9	can	can	AUX
bracis-28406	6	10	either	either	CCONJ
bracis-28406	6	11	find	find	VERB
bracis-28406	6	12	compact	compact	ADJ
bracis-28406	6	13	feature	feature	NOUN
bracis-28406	6	14	sets	set	NOUN
bracis-28406	6	15	or	or	CCONJ
bracis-28406	6	16	improve	improve	VERB
bracis-28406	6	17	classification	classification	NOUN
bracis-28406	6	18	effectiveness	effectiveness	NOUN
bracis-28406	6	19	,	,	PUNCT
bracis-28406	6	20	corroborating	corroborate	VERB
bracis-28406	6	21	its	its	PRON
bracis-28406	6	22	robustness	robustness	NOUN
bracis-28406	6	23	.	.	PUNCT
bracis-28406	7	1	access	access	NOUN
bracis-28406	7	2	provided	provide	VERB
bracis-28406	7	3	by	by	ADP
bracis-28406	7	4	university	university	PROPN
bracis-28406	7	5	of	of	ADP
bracis-28406	7	6	notre	notre	PROPN
bracis-28406	7	7	dame	dame	PROPN
bracis-28406	7	8	hesburgh	hesburgh	PROPN
bracis-28406	7	9	library	library	PROPN
bracis-28406	7	10	.	.	PUNCT
bracis-28406	8	1	download	download	PROPN
bracis-28406	8	2	conference	conference	NOUN
bracis-28406	8	3	paper	paper	NOUN
bracis-28406	8	4	pdf	pdf	NOUN
bracis-28406	8	5	similar	similar	ADJ
bracis-28406	8	6	content	content	NOUN
bracis-28406	8	7	being	be	AUX
bracis-28406	8	8	viewed	view	VERB
bracis-28406	8	9	by	by	ADP
bracis-28406	8	10	others	other	NOUN
bracis-28406	8	11	a	a	DET
bracis-28406	8	12	differential	differential	ADJ
bracis-28406	8	13	squirrel	squirrel	NOUN
bracis-28406	8	14	search	search	NOUN
bracis-28406	8	15	algorithm	algorithm	NOUN
bracis-28406	8	16	chapter	chapter	NOUN
bracis-28406	8	17	©	©	PROPN
bracis-28406	8	18	2021	2021	NUM
bracis-28406	8	19	eight	eight	NUM
bracis-28406	8	20	bio	bio	ADV
bracis-28406	8	21	-	-	PUNCT
bracis-28406	8	22	inspired	inspire	VERB
bracis-28406	8	23	algorithms	algorithm	NOUN
bracis-28406	8	24	evaluated	evaluate	VERB
bracis-28406	8	25	for	for	ADP
bracis-28406	8	26	solving	solve	VERB
bracis-28406	8	27	optimization	optimization	NOUN
bracis-28406	8	28	problems	problem	NOUN
bracis-28406	8	29	chapter	chapter	NOUN
bracis-28406	8	30	©	©	PROPN
bracis-28406	8	31	2018	2018	NUM
bracis-28406	8	32	squirrel	squirrel	NOUN
bracis-28406	8	33	search	search	NOUN
bracis-28406	8	34	optimizer	optimizer	NOUN
bracis-28406	8	35	for	for	ADP
bracis-28406	8	36	solving	solve	VERB
bracis-28406	8	37	economic	economic	ADJ
bracis-28406	8	38	load	load	NOUN
bracis-28406	8	39	dispatch	dispatch	NOUN
bracis-28406	8	40	problem	problem	NOUN
bracis-28406	8	41	chapter	chapter	NOUN
bracis-28406	8	42	©	©	PROPN
bracis-28406	8	43	2020	2020	NUM
bracis-28406	8	44	explore	explore	VERB
bracis-28406	8	45	related	relate	VERB
bracis-28406	8	46	subjects	subject	NOUN
bracis-28406	8	47	discover	discover	VERB
bracis-28406	8	48	the	the	DET
bracis-28406	8	49	latest	late	ADJ
bracis-28406	8	50	articles	article	NOUN
bracis-28406	8	51	,	,	PUNCT
bracis-28406	8	52	books	book	NOUN
bracis-28406	8	53	and	and	CCONJ
bracis-28406	8	54	news	news	NOUN
bracis-28406	8	55	in	in	ADP
bracis-28406	8	56	related	related	ADJ
bracis-28406	8	57	subjects	subject	NOUN
bracis-28406	8	58	,	,	PUNCT
bracis-28406	8	59	suggested	suggest	VERB
bracis-28406	8	60	using	use	VERB
bracis-28406	8	61	machine	machine	NOUN
bracis-28406	8	62	learning	learning	NOUN
bracis-28406	8	63	.	.	PUNCT
bracis-28406	9	1	algorithms	algorithm	NOUN
bracis-28406	9	2	bioinspired	bioinspire	VERB
bracis-28406	9	3	robotics	robotic	NOUN
bracis-28406	9	4	continuous	continuous	ADJ
bracis-28406	9	5	optimization	optimization	NOUN
bracis-28406	9	6	discrete	discrete	ADJ
bracis-28406	9	7	optimization	optimization	NOUN
bracis-28406	9	8	learning	learn	VERB
bracis-28406	9	9	algorithms	algorithm	NOUN
bracis-28406	9	10	optimization	optimization	NOUN
bracis-28406	9	11	1	1	NUM
bracis-28406	9	12	introduction	introduction	NOUN
bracis-28406	9	13	finding	find	VERB
bracis-28406	9	14	the	the	DET
bracis-28406	9	15	most	most	ADV
bracis-28406	9	16	cost	cost	NOUN
bracis-28406	9	17	-	-	PUNCT
bracis-28406	9	18	efficient	efficient	ADJ
bracis-28406	9	19	route	route	NOUN
bracis-28406	9	20	for	for	ADP
bracis-28406	9	21	transporting	transport	VERB
bracis-28406	9	22	goods	good	NOUN
bracis-28406	9	23	,	,	PUNCT
bracis-28406	9	24	the	the	DET
bracis-28406	9	25	ideal	ideal	ADJ
bracis-28406	9	26	amount	amount	NOUN
bracis-28406	9	27	of	of	ADP
bracis-28406	9	28	raw	raw	ADJ
bracis-28406	9	29	material	material	NOUN
bracis-28406	9	30	to	to	PART
bracis-28406	9	31	manufacture	manufacture	VERB
bracis-28406	9	32	a	a	DET
bracis-28406	9	33	product	product	NOUN
bracis-28406	9	34	,	,	PUNCT
bracis-28406	9	35	or	or	CCONJ
bracis-28406	9	36	even	even	ADV
bracis-28406	9	37	the	the	DET
bracis-28406	9	38	best	good	ADJ
bracis-28406	9	39	way	way	NOUN
bracis-28406	9	40	to	to	PART
bracis-28406	9	41	drill	drill	VERB
bracis-28406	9	42	oil	oil	NOUN
bracis-28406	9	43	wells	well	NOUN
bracis-28406	9	44	are	be	AUX
bracis-28406	9	45	just	just	ADV
bracis-28406	9	46	a	a	DET
bracis-28406	9	47	few	few	ADJ
bracis-28406	9	48	examples	example	NOUN
bracis-28406	9	49	of	of	ADP
bracis-28406	9	50	decision	decision	NOUN
bracis-28406	9	51	-	-	PUNCT
bracis-28406	9	52	making	make	VERB
bracis-28406	9	53	many	many	ADJ
bracis-28406	9	54	companies	company	NOUN
bracis-28406	9	55	face	face	VERB
bracis-28406	9	56	.	.	PUNCT
bracis-28406	10	1	in	in	ADP
bracis-28406	10	2	these	these	DET
bracis-28406	10	3	cases	case	NOUN
bracis-28406	10	4	and	and	CCONJ
bracis-28406	10	5	several	several	ADJ
bracis-28406	10	6	other	other	ADJ
bracis-28406	10	7	complex	complex	ADJ
bracis-28406	10	8	problems	problem	NOUN
bracis-28406	10	9	,	,	PUNCT
bracis-28406	10	10	mathematical	mathematical	ADJ
bracis-28406	10	11	optimization	optimization	NOUN
bracis-28406	10	12	can	can	AUX
bracis-28406	10	13	be	be	AUX
bracis-28406	10	14	used	use	VERB
bracis-28406	10	15	to	to	PART
bracis-28406	10	16	find	find	VERB
bracis-28406	10	17	feasible	feasible	ADJ
bracis-28406	10	18	and	and	CCONJ
bracis-28406	10	19	optimal	optimal	ADJ
bracis-28406	10	20	solutions	solution	NOUN
bracis-28406	10	21	.	.	PUNCT
bracis-28406	11	1	through	through	ADP
bracis-28406	11	2	mathematical	mathematical	ADJ
bracis-28406	11	3	models	model	NOUN
bracis-28406	11	4	,	,	PUNCT
bracis-28406	11	5	optimization	optimization	NOUN
bracis-28406	11	6	aims	aim	VERB
bracis-28406	11	7	for	for	ADP
bracis-28406	11	8	the	the	DET
bracis-28406	11	9	optimal	optimal	ADJ
bracis-28406	11	10	solution	solution	NOUN
bracis-28406	11	11	among	among	ADP
bracis-28406	11	12	the	the	DET
bracis-28406	11	13	feasible	feasible	ADJ
bracis-28406	11	14	candidates	candidate	NOUN
bracis-28406	11	15	in	in	ADP
bracis-28406	11	16	a	a	DET
bracis-28406	11	17	search	search	NOUN
bracis-28406	11	18	space	space	NOUN
bracis-28406	11	19	guided	guide	VERB
bracis-28406	11	20	by	by	ADP
bracis-28406	11	21	the	the	DET
bracis-28406	11	22	objective	objective	ADJ
bracis-28406	11	23	function	function	NOUN
bracis-28406	11	24	and	and	CCONJ
bracis-28406	11	25	the	the	DET
bracis-28406	11	26	problem	problem	NOUN
bracis-28406	11	27	’s	’s	PART
bracis-28406	11	28	constraints	constraint	NOUN
bracis-28406	11	29	.	.	PUNCT
bracis-28406	12	1	given	give	VERB
bracis-28406	12	2	the	the	DET
bracis-28406	12	3	nature	nature	NOUN
bracis-28406	12	4	of	of	ADP
bracis-28406	12	5	the	the	DET
bracis-28406	12	6	objective	objective	ADJ
bracis-28406	12	7	function	function	NOUN
bracis-28406	12	8	,	,	PUNCT
bracis-28406	12	9	classical	classical	ADJ
bracis-28406	12	10	mathematical	mathematical	ADJ
bracis-28406	12	11	optimization	optimization	NOUN
bracis-28406	12	12	algorithms	algorithm	NOUN
bracis-28406	12	13	can	can	AUX
bracis-28406	12	14	be	be	AUX
bracis-28406	12	15	inefficient	inefficient	ADJ
bracis-28406	12	16	due	due	ADP
bracis-28406	12	17	to	to	ADP
bracis-28406	12	18	the	the	DET
bracis-28406	12	19	function	function	NOUN
bracis-28406	12	20	’s	’s	PART
bracis-28406	12	21	dependence	dependence	NOUN
bracis-28406	12	22	on	on	ADP
bracis-28406	12	23	being	be	AUX
bracis-28406	12	24	continuous	continuous	ADJ
bracis-28406	12	25	and	and	CCONJ
bracis-28406	12	26	differentiable	differentiable	ADJ
bracis-28406	12	27	in	in	ADP
bracis-28406	12	28	the	the	DET
bracis-28406	12	29	search	search	NOUN
bracis-28406	12	30	space	space	NOUN
bracis-28406	12	31	.	.	PUNCT
bracis-28406	13	1	furthermore	furthermore	ADV
bracis-28406	13	2	,	,	PUNCT
bracis-28406	13	3	classical	classical	ADJ
bracis-28406	13	4	algorithms	algorithm	NOUN
bracis-28406	13	5	may	may	AUX
bracis-28406	13	6	lose	lose	VERB
bracis-28406	13	7	performance	performance	NOUN
bracis-28406	13	8	in	in	ADP
bracis-28406	13	9	cases	case	NOUN
bracis-28406	13	10	where	where	SCONJ
bracis-28406	13	11	the	the	DET
bracis-28406	13	12	function	function	NOUN
bracis-28406	13	13	is	be	AUX
bracis-28406	13	14	multimodal	multimodal	ADJ
bracis-28406	13	15	.	.	PUNCT
bracis-28406	14	1	bioor	bioor	NOUN
bracis-28406	14	2	nature	nature	NOUN
bracis-28406	14	3	-	-	PUNCT
bracis-28406	14	4	inspired	inspire	VERB
bracis-28406	14	5	algorithms	algorithm	NOUN
bracis-28406	14	6	emerge	emerge	VERB
bracis-28406	14	7	as	as	ADP
bracis-28406	14	8	an	an	DET
bracis-28406	14	9	elegant	elegant	ADJ
bracis-28406	14	10	alternative	alternative	NOUN
bracis-28406	14	11	for	for	ADP
bracis-28406	14	12	solving	solve	VERB
bracis-28406	14	13	complex	complex	ADJ
bracis-28406	14	14	optimization	optimization	NOUN
bracis-28406	14	15	problems	problem	NOUN
bracis-28406	14	16	,	,	PUNCT
bracis-28406	14	17	mitigating	mitigate	VERB
bracis-28406	14	18	the	the	DET
bracis-28406	14	19	disadvantages	disadvantage	NOUN
bracis-28406	14	20	of	of	ADP
bracis-28406	14	21	classical	classical	ADJ
bracis-28406	14	22	algorithms	algorithm	NOUN
bracis-28406	14	23	.	.	PUNCT
bracis-28406	15	1	through	through	ADP
bracis-28406	15	2	the	the	DET
bracis-28406	15	3	idea	idea	NOUN
bracis-28406	15	4	that	that	SCONJ
bracis-28406	15	5	natural	natural	ADJ
bracis-28406	15	6	processes	process	NOUN
bracis-28406	15	7	are	be	AUX
bracis-28406	15	8	essentially	essentially	ADV
bracis-28406	15	9	optimal	optimal	ADJ
bracis-28406	15	10	,	,	PUNCT
bracis-28406	15	11	many	many	ADJ
bracis-28406	15	12	algorithms	algorithm	NOUN
bracis-28406	15	13	were	be	AUX
bracis-28406	15	14	created	create	VERB
bracis-28406	15	15	following	follow	VERB
bracis-28406	15	16	metaphors	metaphor	NOUN
bracis-28406	15	17	of	of	ADP
bracis-28406	15	18	nature	nature	NOUN
bracis-28406	15	19	,	,	PUNCT
bracis-28406	15	20	such	such	ADJ
bracis-28406	15	21	as	as	ADP
bracis-28406	15	22	particle	particle	NOUN
bracis-28406	15	23	swarm	swarm	NOUN
bracis-28406	15	24	optimization	optimization	NOUN
bracis-28406	15	25	 	 	SPACE
bracis-28406	16	1	[	[	X
bracis-28406	16	2	10	10	NUM
bracis-28406	16	3	]	]	PUNCT
bracis-28406	16	4	,	,	PUNCT
bracis-28406	16	5	bat	bat	NOUN
bracis-28406	16	6	algorithm	algorithm	NOUN
bracis-28406	16	7	 	 	SPACE
bracis-28406	17	1	[	[	X
bracis-28406	17	2	19	19	NUM
bracis-28406	17	3	]	]	PUNCT
bracis-28406	17	4	,	,	PUNCT
bracis-28406	17	5	flower	flower	NOUN
bracis-28406	17	6	pollination	pollination	NOUN
bracis-28406	17	7	algorithm	algorithm	NOUN
bracis-28406	17	8	 	 	SPACE
bracis-28406	18	1	[	[	X
bracis-28406	18	2	18	18	NUM
bracis-28406	18	3	]	]	PUNCT
bracis-28406	18	4	,	,	PUNCT
bracis-28406	18	5	whale	whale	NOUN
bracis-28406	18	6	optimization	optimization	NOUN
bracis-28406	18	7	algorithm	algorithm	NOUN
bracis-28406	18	8	 	 	SPACE
bracis-28406	19	1	[	[	X
bracis-28406	19	2	13	13	NUM
bracis-28406	19	3	]	]	PUNCT
bracis-28406	19	4	,	,	PUNCT
bracis-28406	19	5	butterfly	butterfly	NOUN
bracis-28406	19	6	optimization	optimization	NOUN
bracis-28406	19	7	algorithm	algorithm	NOUN
bracis-28406	19	8	 	 	SPACE
bracis-28406	20	1	[	[	X
bracis-28406	20	2	2	2	NUM
bracis-28406	20	3	]	]	PUNCT
bracis-28406	20	4	,	,	PUNCT
bracis-28406	20	5	and	and	CCONJ
bracis-28406	20	6	jellyfish	jellyfish	VERB
bracis-28406	20	7	search	search	NOUN
bracis-28406	20	8	 	 	SPACE
bracis-28406	21	1	[	[	X
bracis-28406	21	2	4	4	NUM
bracis-28406	21	3	]	]	PUNCT
bracis-28406	21	4	,	,	PUNCT
bracis-28406	21	5	among	among	ADP
bracis-28406	21	6	others	other	NOUN
bracis-28406	21	7	.	.	PUNCT
bracis-28406	22	1	this	this	DET
bracis-28406	22	2	group	group	NOUN
bracis-28406	22	3	of	of	ADP
bracis-28406	22	4	bio	bio	PROPN
bracis-28406	22	5	-	-	PUNCT
bracis-28406	22	6	inspired	inspire	VERB
bracis-28406	22	7	algorithms	algorithm	NOUN
bracis-28406	22	8	offers	offer	VERB
bracis-28406	22	9	near	near	ADV
bracis-28406	22	10	-	-	PUNCT
bracis-28406	22	11	optimal	optimal	ADJ
bracis-28406	22	12	solutions	solution	NOUN
bracis-28406	22	13	in	in	ADP
bracis-28406	22	14	a	a	DET
bracis-28406	22	15	reasonable	reasonable	ADJ
bracis-28406	22	16	time	time	NOUN
bracis-28406	22	17	,	,	PUNCT
bracis-28406	22	18	an	an	DET
bracis-28406	22	19	alternative	alternative	NOUN
bracis-28406	22	20	to	to	ADP
bracis-28406	22	21	solving	solve	VERB
bracis-28406	22	22	np	np	NOUN
bracis-28406	22	23	-	-	ADJ
bracis-28406	22	24	hard	hard	ADJ
bracis-28406	22	25	combinatorial	combinatorial	ADJ
bracis-28406	22	26	problems	problem	NOUN
bracis-28406	22	27	.	.	PUNCT
bracis-28406	23	1	artificial	artificial	ADJ
bracis-28406	23	2	intelligence	intelligence	NOUN
bracis-28406	23	3	has	have	AUX
bracis-28406	23	4	benefited	benefit	VERB
bracis-28406	23	5	from	from	ADP
bracis-28406	23	6	using	use	VERB
bracis-28406	23	7	bio	bio	NOUN
bracis-28406	23	8	-	-	PUNCT
bracis-28406	23	9	inspired	inspire	VERB
bracis-28406	23	10	algorithms	algorithm	NOUN
bracis-28406	23	11	to	to	PART
bracis-28406	23	12	optimize	optimize	VERB
bracis-28406	23	13	neural	neural	ADJ
bracis-28406	23	14	networks	network	NOUN
bracis-28406	23	15	,	,	PUNCT
bracis-28406	23	16	support	support	VERB
bracis-28406	23	17	vector	vector	NOUN
bracis-28406	23	18	machines	machine	NOUN
bracis-28406	23	19	,	,	PUNCT
bracis-28406	23	20	or	or	CCONJ
bracis-28406	23	21	optimum	optimum	ADJ
bracis-28406	23	22	-	-	PUNCT
bracis-28406	23	23	path	path	NOUN
bracis-28406	23	24	forest	forest	NOUN
bracis-28406	23	25	models	model	NOUN
bracis-28406	23	26	,	,	PUNCT
bracis-28406	23	27	among	among	ADP
bracis-28406	23	28	many	many	ADJ
bracis-28406	23	29	others	other	NOUN
bracis-28406	23	30	.	.	PUNCT
bracis-28406	24	1	in	in	ADP
bracis-28406	24	2	addition	addition	NOUN
bracis-28406	24	3	to	to	ADP
bracis-28406	24	4	hyperparameter	hyperparameter	NOUN
bracis-28406	24	5	adjustments	adjustment	NOUN
bracis-28406	24	6	to	to	PART
bracis-28406	24	7	minimize	minimize	VERB
bracis-28406	24	8	misclassification	misclassification	NOUN
bracis-28406	24	9	,	,	PUNCT
bracis-28406	24	10	the	the	DET
bracis-28406	24	11	dimensionality	dimensionality	NOUN
bracis-28406	24	12	of	of	ADP
bracis-28406	24	13	datasets	dataset	NOUN
bracis-28406	24	14	can	can	AUX
bracis-28406	24	15	negatively	negatively	ADV
bracis-28406	24	16	affect	affect	VERB
bracis-28406	24	17	the	the	DET
bracis-28406	24	18	classifier	classifier	NOUN
bracis-28406	24	19	’s	’s	PART
bracis-28406	24	20	performance	performance	NOUN
bracis-28406	24	21	during	during	ADP
bracis-28406	24	22	training	training	NOUN
bracis-28406	24	23	,	,	PUNCT
bracis-28406	24	24	increasing	increase	VERB
bracis-28406	24	25	the	the	DET
bracis-28406	24	26	computational	computational	ADJ
bracis-28406	24	27	burden	burden	NOUN
bracis-28406	24	28	and	and	CCONJ
bracis-28406	24	29	even	even	ADV
bracis-28406	24	30	decreasing	decrease	VERB
bracis-28406	24	31	accuracy	accuracy	NOUN
bracis-28406	24	32	.	.	PUNCT
bracis-28406	25	1	one	one	NUM
bracis-28406	25	2	way	way	NOUN
bracis-28406	25	3	to	to	PART
bracis-28406	25	4	solve	solve	VERB
bracis-28406	25	5	this	this	DET
bracis-28406	25	6	problem	problem	NOUN
bracis-28406	25	7	is	be	AUX
bracis-28406	25	8	through	through	ADP
bracis-28406	25	9	dimensionality	dimensionality	NOUN
bracis-28406	25	10	reduction	reduction	NOUN
bracis-28406	25	11	techniques	technique	NOUN
bracis-28406	25	12	,	,	PUNCT
bracis-28406	25	13	i.e.	i.e.	X
bracis-28406	25	14	,	,	PUNCT
bracis-28406	25	15	selecting	select	VERB
bracis-28406	25	16	the	the	DET
bracis-28406	25	17	most	most	ADV
bracis-28406	25	18	relevant	relevant	ADJ
bracis-28406	25	19	features	feature	NOUN
bracis-28406	25	20	for	for	ADP
bracis-28406	25	21	the	the	DET
bracis-28406	25	22	classification	classification	NOUN
bracis-28406	25	23	task	task	NOUN
bracis-28406	25	24	.	.	PUNCT
bracis-28406	26	1	in	in	ADP
bracis-28406	26	2	other	other	ADJ
bracis-28406	26	3	words	word	NOUN
bracis-28406	26	4	,	,	PUNCT
bracis-28406	26	5	we	we	PRON
bracis-28406	26	6	want	want	VERB
bracis-28406	26	7	to	to	PART
bracis-28406	26	8	remove	remove	VERB
bracis-28406	26	9	irrelevant	irrelevant	ADJ
bracis-28406	26	10	and	and	CCONJ
bracis-28406	26	11	redundant	redundant	ADJ
bracis-28406	26	12	features	feature	NOUN
bracis-28406	26	13	to	to	PART
bracis-28406	26	14	reduce	reduce	VERB
bracis-28406	26	15	the	the	DET
bracis-28406	26	16	computational	computational	ADJ
bracis-28406	26	17	cost	cost	NOUN
bracis-28406	26	18	required	require	VERB
bracis-28406	26	19	during	during	ADP
bracis-28406	26	20	training	training	NOUN
bracis-28406	26	21	and	and	CCONJ
bracis-28406	26	22	maximize	maximize	VERB
bracis-28406	26	23	the	the	DET
bracis-28406	26	24	classifier	classifier	NOUN
bracis-28406	26	25	’s	’s	PART
bracis-28406	26	26	hit	hit	VERB
bracis-28406	26	27	rate	rate	NOUN
bracis-28406	26	28	.	.	PUNCT
bracis-28406	27	1	over	over	ADP
bracis-28406	27	2	the	the	DET
bracis-28406	27	3	last	last	ADJ
bracis-28406	27	4	few	few	ADJ
bracis-28406	27	5	years	year	NOUN
bracis-28406	27	6	,	,	PUNCT
bracis-28406	27	7	bio	bio	ADJ
bracis-28406	27	8	-	-	PUNCT
bracis-28406	27	9	inspired	inspire	VERB
bracis-28406	27	10	algorithms	algorithm	NOUN
bracis-28406	27	11	have	have	AUX
bracis-28406	27	12	successfully	successfully	ADV
bracis-28406	27	13	addressed	address	VERB
bracis-28406	27	14	feature	feature	NOUN
bracis-28406	27	15	selection	selection	NOUN
bracis-28406	27	16	problems	problem	NOUN
bracis-28406	27	17	,	,	PUNCT
bracis-28406	27	18	for	for	SCONJ
bracis-28406	27	19	they	they	PRON
bracis-28406	27	20	can	can	AUX
bracis-28406	27	21	obtain	obtain	VERB
bracis-28406	27	22	good	good	ADJ
bracis-28406	27	23	solutions	solution	NOUN
bracis-28406	27	24	in	in	ADP
bracis-28406	27	25	a	a	DET
bracis-28406	27	26	reasonable	reasonable	ADJ
bracis-28406	27	27	time	time	NOUN
bracis-28406	27	28	,	,	PUNCT
bracis-28406	27	29	even	even	ADV
bracis-28406	27	30	if	if	SCONJ
bracis-28406	27	31	the	the	DET
bracis-28406	27	32	problem	problem	NOUN
bracis-28406	27	33	is	be	AUX
bracis-28406	27	34	complex	complex	ADJ
bracis-28406	27	35	.	.	PUNCT
bracis-28406	28	1	the	the	DET
bracis-28406	28	2	literature	literature	NOUN
bracis-28406	28	3	is	be	AUX
bracis-28406	28	4	vast	vast	ADJ
bracis-28406	28	5	and	and	CCONJ
bracis-28406	28	6	with	with	ADP
bracis-28406	28	7	promising	promising	ADJ
bracis-28406	28	8	results	result	NOUN
bracis-28406	28	9	.	.	PUNCT
bracis-28406	29	1	nakamura	nakamura	PROPN
bracis-28406	29	2	et	et	PROPN
bracis-28406	29	3	al	al	PROPN
bracis-28406	29	4	.	.	PUNCT
bracis-28406	29	5	 	 	SPACE
bracis-28406	30	1	[	[	X
bracis-28406	30	2	14	14	NUM
bracis-28406	30	3	]	]	PUNCT
bracis-28406	30	4	proposed	propose	VERB
bracis-28406	30	5	the	the	DET
bracis-28406	30	6	binary	binary	ADJ
bracis-28406	30	7	bat	bat	NOUN
bracis-28406	30	8	algorithm	algorithm	NOUN
bracis-28406	30	9	(	(	PUNCT
bracis-28406	30	10	bba	bba	NOUN
bracis-28406	30	11	)	)	PUNCT
bracis-28406	30	12	for	for	ADP
bracis-28406	30	13	feature	feature	NOUN
bracis-28406	30	14	selection	selection	NOUN
bracis-28406	30	15	.	.	PUNCT
bracis-28406	31	1	although	although	SCONJ
bracis-28406	31	2	ba	ba	PROPN
bracis-28406	31	3	is	be	AUX
bracis-28406	31	4	effective	effective	ADJ
bracis-28406	31	5	for	for	ADP
bracis-28406	31	6	such	such	DET
bracis-28406	31	7	a	a	DET
bracis-28406	31	8	purpose	purpose	NOUN
bracis-28406	31	9	,	,	PUNCT
bracis-28406	31	10	it	it	PRON
bracis-28406	31	11	lacks	lack	VERB
bracis-28406	31	12	efficiency	efficiency	NOUN
bracis-28406	31	13	compared	compare	VERB
bracis-28406	31	14	to	to	ADP
bracis-28406	31	15	other	other	ADJ
bracis-28406	31	16	metaheuristics	metaheuristic	NOUN
bracis-28406	31	17	.	.	PUNCT
bracis-28406	32	1	rodrigues	rodrigues	PROPN
bracis-28406	32	2	et	et	PROPN
bracis-28406	32	3	al	al	PROPN
bracis-28406	32	4	.	.	PUNCT
bracis-28406	32	5	 	 	SPACE
bracis-28406	33	1	[	[	X
bracis-28406	33	2	16	16	NUM
bracis-28406	33	3	]	]	PUNCT
bracis-28406	33	4	introduced	introduce	VERB
bracis-28406	33	5	the	the	DET
bracis-28406	33	6	binary	binary	ADJ
bracis-28406	33	7	cuckoo	cuckoo	NOUN
bracis-28406	33	8	search	search	NOUN
bracis-28406	33	9	(	(	PUNCT
bracis-28406	33	10	bcs	bcs	NOUN
bracis-28406	33	11	)	)	PUNCT
bracis-28406	33	12	to	to	ADP
bracis-28406	33	13	the	the	DET
bracis-28406	33	14	same	same	ADJ
bracis-28406	33	15	context	context	NOUN
bracis-28406	33	16	,	,	PUNCT
bracis-28406	33	17	and	and	CCONJ
bracis-28406	33	18	rodrigues	rodrigue	VERB
bracis-28406	33	19	et	et	PROPN
bracis-28406	33	20	al	al	PROPN
bracis-28406	33	21	.	.	PUNCT
bracis-28406	33	22	 	 	SPACE
bracis-28406	34	1	[	[	X
bracis-28406	34	2	16	16	NUM
bracis-28406	34	3	]	]	PUNCT
bracis-28406	34	4	designed	design	VERB
bracis-28406	34	5	a	a	DET
bracis-28406	34	6	binary	binary	ADV
bracis-28406	34	7	-	-	PUNCT
bracis-28406	34	8	valued	value	VERB
bracis-28406	34	9	flower	flower	NOUN
bracis-28406	34	10	pollination	pollination	NOUN
bracis-28406	34	11	algorithm	algorithm	NOUN
bracis-28406	34	12	(	(	PUNCT
bracis-28406	34	13	bfpa	bfpa	PROPN
bracis-28406	34	14	)	)	PUNCT
bracis-28406	34	15	to	to	PART
bracis-28406	34	16	select	select	VERB
bracis-28406	34	17	the	the	DET
bracis-28406	34	18	most	most	ADV
bracis-28406	34	19	critical	critical	ADJ
bracis-28406	34	20	sensors	sensor	NOUN
bracis-28406	34	21	to	to	PART
bracis-28406	34	22	person	person	VERB
bracis-28406	34	23	identification	identification	NOUN
bracis-28406	34	24	using	use	VERB
bracis-28406	34	25	electroencephalogram	electroencephalogram	NOUN
bracis-28406	34	26	signals	signal	NOUN
bracis-28406	34	27	.	.	PUNCT
bracis-28406	35	1	this	this	DET
bracis-28406	35	2	paper	paper	NOUN
bracis-28406	35	3	proposes	propose	VERB
bracis-28406	35	4	a	a	DET
bracis-28406	35	5	binary	binary	ADJ
bracis-28406	35	6	version	version	NOUN
bracis-28406	35	7	of	of	ADP
bracis-28406	35	8	the	the	DET
bracis-28406	35	9	flying	fly	VERB
bracis-28406	35	10	squirrel	squirrel	NOUN
bracis-28406	35	11	optimizer	optimizer	NOUN
bracis-28406	35	12	 	 	SPACE
bracis-28406	35	13	(	(	PUNCT
bracis-28406	35	14	fso	fso	PROPN
bracis-28406	35	15	)	)	PUNCT
bracis-28406	35	16	for	for	ADP
bracis-28406	35	17	feature	feature	NOUN
bracis-28406	35	18	selection	selection	NOUN
bracis-28406	35	19	,	,	PUNCT
bracis-28406	35	20	called	call	VERB
bracis-28406	35	21	bfso	bfso	NOUN
bracis-28406	35	22	.	.	PUNCT
bracis-28406	36	1	the	the	DET
bracis-28406	36	2	fso	fso	NOUN
bracis-28406	36	3	was	be	AUX
bracis-28406	36	4	proposed	propose	VERB
bracis-28406	36	5	by	by	ADP
bracis-28406	36	6	azizyan	azizyan	ADJ
bracis-28406	36	7	et	et	PROPN
bracis-28406	36	8	al	al	PROPN
bracis-28406	36	9	.	.	PROPN
bracis-28406	36	10	 	 	SPACE
bracis-28406	37	1	[	[	X
bracis-28406	37	2	3	3	X
bracis-28406	37	3	]	]	PUNCT
bracis-28406	37	4	inspired	inspire	VERB
bracis-28406	37	5	by	by	ADP
bracis-28406	37	6	flying	fly	VERB
bracis-28406	37	7	squirrels	squirrel	NOUN
bracis-28406	37	8	moving	move	VERB
bracis-28406	37	9	from	from	ADP
bracis-28406	37	10	one	one	NUM
bracis-28406	37	11	tree	tree	NOUN
bracis-28406	37	12	to	to	ADP
bracis-28406	37	13	another	another	PRON
bracis-28406	37	14	in	in	ADP
bracis-28406	37	15	search	search	NOUN
bracis-28406	37	16	of	of	ADP
bracis-28406	37	17	food	food	NOUN
bracis-28406	37	18	.	.	PUNCT
bracis-28406	38	1	this	this	DET
bracis-28406	38	2	work	work	NOUN
bracis-28406	38	3	’s	’s	PART
bracis-28406	38	4	main	main	ADJ
bracis-28406	38	5	contributions	contribution	NOUN
bracis-28406	38	6	lie	lie	VERB
bracis-28406	38	7	in	in	ADP
bracis-28406	38	8	using	use	VERB
bracis-28406	38	9	a	a	DET
bracis-28406	38	10	wrapper	wrapper	NOUN
bracis-28406	38	11	-	-	PUNCT
bracis-28406	38	12	based	base	VERB
bracis-28406	38	13	approach	approach	NOUN
bracis-28406	38	14	employing	employ	VERB
bracis-28406	38	15	bfso	bfso	NOUN
bracis-28406	38	16	and	and	CCONJ
bracis-28406	38	17	the	the	DET
bracis-28406	38	18	naive	naive	ADJ
bracis-28406	38	19	bayes	bayes	NOUN
bracis-28406	38	20	classifier	classifier	NOUN
bracis-28406	38	21	for	for	ADP
bracis-28406	38	22	the	the	DET
bracis-28406	38	23	feature	feature	NOUN
bracis-28406	38	24	selection	selection	NOUN
bracis-28406	38	25	task	task	NOUN
bracis-28406	38	26	.	.	PUNCT
bracis-28406	39	1	however	however	ADV
bracis-28406	39	2	,	,	PUNCT
bracis-28406	39	3	any	any	DET
bracis-28406	39	4	other	other	ADJ
bracis-28406	39	5	supervised	supervised	ADJ
bracis-28406	39	6	classifier	classifier	NOUN
bracis-28406	39	7	can	can	AUX
bracis-28406	39	8	be	be	AUX
bracis-28406	39	9	used	use	VERB
bracis-28406	39	10	.	.	PUNCT
bracis-28406	40	1	we	we	PRON
bracis-28406	40	2	considered	consider	VERB
bracis-28406	40	3	16	16	NUM
bracis-28406	40	4	benchmark	benchmark	NOUN
bracis-28406	40	5	datasets	dataset	NOUN
bracis-28406	40	6	to	to	PART
bracis-28406	40	7	evaluate	evaluate	VERB
bracis-28406	40	8	the	the	DET
bracis-28406	40	9	proposed	propose	VERB
bracis-28406	40	10	approach	approach	NOUN
bracis-28406	40	11	’s	’s	PART
bracis-28406	40	12	performance	performance	NOUN
bracis-28406	40	13	.	.	PUNCT
bracis-28406	41	1	the	the	DET
bracis-28406	41	2	performance	performance	NOUN
bracis-28406	41	3	of	of	ADP
bracis-28406	41	4	the	the	DET
bracis-28406	41	5	bfso	bfso	NOUN
bracis-28406	41	6	was	be	AUX
bracis-28406	41	7	also	also	ADV
bracis-28406	41	8	validated	validate	VERB
bracis-28406	41	9	to	to	PART
bracis-28406	41	10	select	select	VERB
bracis-28406	41	11	relevant	relevant	ADJ
bracis-28406	41	12	gas	gas	NOUN
bracis-28406	41	13	concentrations	concentration	NOUN
bracis-28406	41	14	to	to	PART
bracis-28406	41	15	identify	identify	VERB
bracis-28406	41	16	faults	fault	NOUN
bracis-28406	41	17	in	in	ADP
bracis-28406	41	18	power	power	NOUN
bracis-28406	41	19	transformers	transformer	NOUN
bracis-28406	41	20	.	.	PUNCT
bracis-28406	42	1	in	in	ADP
bracis-28406	42	2	short	short	ADJ
bracis-28406	42	3	,	,	PUNCT
bracis-28406	42	4	this	this	DET
bracis-28406	42	5	paper	paper	NOUN
bracis-28406	42	6	figures	figure	VERB
bracis-28406	42	7	the	the	DET
bracis-28406	42	8	following	follow	VERB
bracis-28406	42	9	contributions	contribution	NOUN
bracis-28406	42	10	:	:	PUNCT
bracis-28406	42	11	to	to	PART
bracis-28406	42	12	propose	propose	VERB
bracis-28406	42	13	the	the	DET
bracis-28406	42	14	binary	binary	ADJ
bracis-28406	42	15	flying	fly	VERB
bracis-28406	42	16	squirrel	squirrel	NOUN
bracis-28406	42	17	optimizer	optimizer	NOUN
bracis-28406	42	18	;	;	PUNCT
bracis-28406	42	19	to	to	PART
bracis-28406	42	20	evaluate	evaluate	VERB
bracis-28406	42	21	the	the	DET
bracis-28406	42	22	proposed	propose	VERB
bracis-28406	42	23	approach	approach	NOUN
bracis-28406	42	24	for	for	ADP
bracis-28406	42	25	feature	feature	NOUN
bracis-28406	42	26	selection	selection	NOUN
bracis-28406	42	27	;	;	PUNCT
bracis-28406	42	28	and	and	CCONJ
bracis-28406	42	29	to	to	PART
bracis-28406	42	30	employ	employ	VERB
bracis-28406	42	31	bfso	bfso	VERB
bracis-28406	42	32	for	for	ADP
bracis-28406	42	33	fault	fault	NOUN
bracis-28406	42	34	diagnosis	diagnosis	NOUN
bracis-28406	42	35	in	in	ADP
bracis-28406	42	36	power	power	NOUN
bracis-28406	42	37	transformers	transformer	NOUN
bracis-28406	42	38	using	use	VERB
bracis-28406	42	39	gas	gas	NOUN
bracis-28406	42	40	concentration	concentration	NOUN
bracis-28406	42	41	.	.	PUNCT
bracis-28406	43	1	the	the	DET
bracis-28406	43	2	remainder	remainder	NOUN
bracis-28406	43	3	of	of	ADP
bracis-28406	43	4	this	this	DET
bracis-28406	43	5	paper	paper	NOUN
bracis-28406	43	6	is	be	AUX
bracis-28406	43	7	organized	organize	VERB
bracis-28406	43	8	as	as	SCONJ
bracis-28406	43	9	follows	follow	VERB
bracis-28406	43	10	.	.	PUNCT
bracis-28406	44	1	section	section	NOUN
bracis-28406	44	2	 	 	SPACE
bracis-28406	44	3	2	2	NUM
bracis-28406	44	4	presents	present	VERB
bracis-28406	44	5	the	the	DET
bracis-28406	44	6	theoretical	theoretical	ADJ
bracis-28406	44	7	background	background	NOUN
bracis-28406	44	8	concerning	concern	VERB
bracis-28406	44	9	the	the	DET
bracis-28406	44	10	flying	fly	VERB
bracis-28406	44	11	squirrel	squirrel	NOUN
bracis-28406	44	12	optimizer	optimizer	NOUN
bracis-28406	44	13	,	,	PUNCT
bracis-28406	44	14	while	while	SCONJ
bracis-28406	44	15	sects	sect	NOUN
bracis-28406	44	16	.	.	PUNCT
bracis-28406	44	17	 	 	SPACE
bracis-28406	44	18	3	3	NUM
bracis-28406	44	19	and	and	CCONJ
bracis-28406	44	20	4	4	NUM
bracis-28406	44	21	discuss	discuss	VERB
bracis-28406	44	22	the	the	DET
bracis-28406	44	23	methodology	methodology	NOUN
bracis-28406	44	24	and	and	CCONJ
bracis-28406	44	25	experimental	experimental	ADJ
bracis-28406	44	26	results	result	NOUN
bracis-28406	44	27	,	,	PUNCT
bracis-28406	44	28	respectively	respectively	ADV
bracis-28406	44	29	.	.	PUNCT
bracis-28406	45	1	section	section	NOUN
bracis-28406	45	2	 	 	SPACE
bracis-28406	45	3	5	5	NUM
bracis-28406	45	4	states	state	VERB
bracis-28406	45	5	conclusions	conclusion	NOUN
bracis-28406	45	6	and	and	CCONJ
bracis-28406	45	7	future	future	ADJ
bracis-28406	45	8	works	work	NOUN
bracis-28406	45	9	.	.	PUNCT
bracis-28406	46	1	2	2	NUM
bracis-28406	46	2	flying	fly	VERB
bracis-28406	46	3	squirrel	squirrel	NOUN
bracis-28406	46	4	optimizer	optimizer	NOUN
bracis-28406	46	5	flying	fly	VERB
bracis-28406	46	6	squirrel	squirrel	NOUN
bracis-28406	46	7	optimizer	optimizer	NOUN
bracis-28406	46	8	 	 	SPACE
bracis-28406	47	1	[	[	X
bracis-28406	47	2	3	3	X
bracis-28406	47	3	]	]	PUNCT
bracis-28406	47	4	is	be	AUX
bracis-28406	47	5	a	a	DET
bracis-28406	47	6	flying	fly	VERB
bracis-28406	47	7	squirrel	squirrel	NOUN
bracis-28406	47	8	swarm	swarm	NOUN
bracis-28406	47	9	-	-	PUNCT
bracis-28406	47	10	based	base	VERB
bracis-28406	47	11	algorithm	algorithm	NOUN
bracis-28406	47	12	whose	whose	DET
bracis-28406	47	13	population	population	NOUN
bracis-28406	47	14	is	be	AUX
bracis-28406	47	15	given	give	VERB
bracis-28406	47	16	by	by	ADP
bracis-28406	47	17	\(\mathcal{x	\(\mathcal{x	NOUN
bracis-28406	47	18	}	}	PUNCT
bracis-28406	47	19	=	=	SYM
bracis-28406	47	20	\{\textbf{x}_1,\textbf{x}_2	\{\textbf{x}_1,\textbf{x}_2	NOUN
bracis-28406	47	21	\ldots	\ldot	NOUN
bracis-28406	47	22	,	,	PUNCT
bracis-28406	47	23	\textbf{x}_m	\textbf{x}_m	NOUN
bracis-28406	47	24	\}\	\}\	NOUN
bracis-28406	47	25	)	)	PUNCT
bracis-28406	47	26	,	,	PUNCT
bracis-28406	47	27	where	where	SCONJ
bracis-28406	47	28	m	m	NOUN
bracis-28406	47	29	is	be	AUX
bracis-28406	47	30	the	the	DET
bracis-28406	47	31	number	number	NOUN
bracis-28406	47	32	of	of	ADP
bracis-28406	47	33	squirrels	squirrel	NOUN
bracis-28406	47	34	and	and	CCONJ
bracis-28406	47	35	\(\textbf{x}_i\in	\(\textbf{x}_i\in	PUNCT
bracis-28406	47	36	\re	\re	PROPN
bracis-28406	47	37	^n\	^n\	NUM
bracis-28406	47	38	)	)	PUNCT
bracis-28406	47	39	denotes	denote	VERB
bracis-28406	47	40	a	a	DET
bracis-28406	47	41	single	single	ADJ
bracis-28406	47	42	possible	possible	ADJ
bracis-28406	47	43	solution	solution	NOUN
bracis-28406	47	44	.	.	PUNCT
bracis-28406	48	1	the	the	DET
bracis-28406	48	2	proposed	propose	VERB
bracis-28406	48	3	model	model	NOUN
bracis-28406	48	4	follows	follow	VERB
bracis-28406	48	5	two	two	NUM
bracis-28406	48	6	movements	movement	NOUN
bracis-28406	48	7	squirrels	squirrel	NOUN
bracis-28406	48	8	perform	perform	VERB
bracis-28406	48	9	in	in	ADP
bracis-28406	48	10	their	their	PRON
bracis-28406	48	11	pursuit	pursuit	NOUN
bracis-28406	48	12	of	of	ADP
bracis-28406	48	13	food	food	NOUN
bracis-28406	48	14	.	.	PUNCT
bracis-28406	49	1	the	the	DET
bracis-28406	49	2	first	first	ADJ
bracis-28406	49	3	simulates	simulate	NOUN
bracis-28406	49	4	the	the	DET
bracis-28406	49	5	awkward	awkward	ADJ
bracis-28406	49	6	gait	gait	NOUN
bracis-28406	49	7	of	of	ADP
bracis-28406	49	8	squirrels	squirrel	NOUN
bracis-28406	49	9	when	when	SCONJ
bracis-28406	49	10	they	they	PRON
bracis-28406	49	11	are	be	AUX
bracis-28406	49	12	on	on	ADP
bracis-28406	49	13	the	the	DET
bracis-28406	49	14	ground	ground	NOUN
bracis-28406	49	15	.	.	PUNCT
bracis-28406	50	1	this	this	DET
bracis-28406	50	2	motion	motion	NOUN
bracis-28406	50	3	is	be	AUX
bracis-28406	50	4	modeled	model	VERB
bracis-28406	50	5	as	as	ADP
bracis-28406	50	6	random	random	ADJ
bracis-28406	50	7	walks	walk	NOUN
bracis-28406	50	8	following	follow	VERB
bracis-28406	50	9	a	a	DET
bracis-28406	50	10	normal	normal	ADJ
bracis-28406	50	11	distribution	distribution	NOUN
bracis-28406	50	12	\(\textbf{r	\(\textbf{r	PROPN
bracis-28406	50	13	}	}	PUNCT
bracis-28406	50	14	\sim	\sim	NOUN
bracis-28406	50	15	\mathcal	\mathcal	PROPN
bracis-28406	50	16	{	{	PUNCT
bracis-28406	50	17	n}(\mu	n}(\mu	NOUN
bracis-28406	50	18	,	,	PUNCT
bracis-28406	50	19	\,\sigma	\,\sigma	PROPN
bracis-28406	50	20	^{2})\	^{2})\	NUM
bracis-28406	50	21	)	)	PUNCT
bracis-28406	50	22	in	in	ADP
bracis-28406	50	23	which	which	PRON
bracis-28406	50	24	\(\mu	\(\mu	ADP
bracis-28406	50	25	\	\	NOUN
bracis-28406	50	26	)	)	PUNCT
bracis-28406	50	27	is	be	AUX
bracis-28406	50	28	the	the	DET
bracis-28406	50	29	mean	mean	ADJ
bracis-28406	50	30	position	position	NOUN
bracis-28406	50	31	of	of	ADP
bracis-28406	50	32	all	all	DET
bracis-28406	50	33	flying	fly	VERB
bracis-28406	50	34	squirrels	squirrel	NOUN
bracis-28406	50	35	and	and	CCONJ
bracis-28406	50	36	\(\sigma	\(\sigma	NOUN
bracis-28406	50	37	\	\	NOUN
bracis-28406	50	38	)	)	PUNCT
bracis-28406	50	39	is	be	AUX
bracis-28406	50	40	given	give	VERB
bracis-28406	50	41	as	as	SCONJ
bracis-28406	50	42	follows	follow	VERB
bracis-28406	50	43	:	:	PUNCT
bracis-28406	51	1	$	$	SYM
bracis-28406	51	2	$	$	SYM
bracis-28406	51	3	\begin{aligned	\begin{aligne	VERB
bracis-28406	51	4	}	}	PUNCT
bracis-28406	51	5	\sigma	\sigma	PROPN
bracis-28406	51	6	=	=	PUNCT
bracis-28406	51	7	-\ln	-\ln	PUNCT
bracis-28406	51	8	\left	\left	PROPN
bracis-28406	51	9	(	(	PUNCT
bracis-28406	51	10	1	1	NUM
bracis-28406	51	11	\frac{1}{\sqrt{t	\frac{1}{\sqrt{t	PROPN
bracis-28406	51	12	+	+	CCONJ
bracis-28406	51	13	2	2	NUM
bracis-28406	51	14	}	}	PUNCT
bracis-28406	51	15	}	}	PUNCT
bracis-28406	51	16	\right	\right	PROPN
bracis-28406	51	17	)	)	PUNCT
bracis-28406	51	18	^2	^2	NUM
bracis-28406	51	19	,	,	PUNCT
bracis-28406	51	20	\end{aligned}$$	\end{aligned}$$	X
bracis-28406	51	21	(	(	PUNCT
bracis-28406	51	22	1	1	NUM
bracis-28406	51	23	)	)	PUNCT
bracis-28406	51	24	where	where	SCONJ
bracis-28406	51	25	t	t	PROPN
bracis-28406	51	26	corresponds	correspond	VERB
bracis-28406	51	27	to	to	ADP
bracis-28406	51	28	the	the	DET
bracis-28406	51	29	current	current	ADJ
bracis-28406	51	30	iteration	iteration	NOUN
bracis-28406	51	31	.	.	PUNCT
bracis-28406	52	1	in	in	ADP
bracis-28406	52	2	the	the	DET
bracis-28406	52	3	second	second	ADJ
bracis-28406	52	4	movement	movement	NOUN
bracis-28406	52	5	,	,	PUNCT
bracis-28406	52	6	the	the	DET
bracis-28406	52	7	squirrels	squirrel	NOUN
bracis-28406	52	8	fly	fly	VERB
bracis-28406	52	9	from	from	ADP
bracis-28406	52	10	one	one	NUM
bracis-28406	52	11	tree	tree	NOUN
bracis-28406	52	12	to	to	ADP
bracis-28406	52	13	another	another	PRON
bracis-28406	52	14	through	through	ADP
bracis-28406	52	15	a	a	DET
bracis-28406	52	16	lévy	lévy	ADJ
bracis-28406	52	17	flight	flight	NOUN
bracis-28406	52	18	distribution	distribution	NOUN
bracis-28406	52	19	,	,	PUNCT
bracis-28406	52	20	as	as	SCONJ
bracis-28406	52	21	follows	follow	VERB
bracis-28406	52	22	:	:	PUNCT
bracis-28406	52	23	$	$	SYM
bracis-28406	52	24	$	$	SYM
bracis-28406	52	25	\begin{aligned	\begin{aligne	VERB
bracis-28406	52	26	}	}	PUNCT
bracis-28406	52	27	l(\lambda	l(\lambda	PROPN
bracis-28406	52	28	,	,	PUNCT
bracis-28406	52	29	s	s	X
bracis-28406	52	30	,	,	PUNCT
bracis-28406	52	31	\alpha	\alpha	ADJ
bracis-28406	52	32	)	)	PUNCT
bracis-28406	53	1	=	=	NOUN
bracis-28406	53	2	\frac{\lambda	\frac{\lambda	DET
bracis-28406	53	3	\cdot	\cdot	NOUN
bracis-28406	53	4	\vargamma	\vargamma	PROPN
bracis-28406	53	5	(	(	PUNCT
bracis-28406	53	6	\lambda	\lambda	PROPN
bracis-28406	53	7	)	)	PUNCT
bracis-28406	53	8	\cdot	\cdot	NOUN
bracis-28406	53	9	\text	\text	NOUN
bracis-28406	53	10	{	{	PUNCT
bracis-28406	53	11	sin	sin	NOUN
bracis-28406	53	12	}	}	PUNCT
bracis-28406	53	13	(	(	PUNCT
bracis-28406	53	14	\lambda	\lambda	PROPN
bracis-28406	53	15	)	)	PUNCT
bracis-28406	53	16	}	}	PUNCT
bracis-28406	53	17	{	{	PUNCT
bracis-28406	53	18	\pi	\pi	NOUN
bracis-28406	53	19	}	}	PUNCT
bracis-28406	53	20	\cdot	\cdot	NOUN
bracis-28406	53	21	\frac{\alpha	\frac{\alpha	VERB
bracis-28406	53	22	}	}	PUNCT
bracis-28406	53	23	{	{	PUNCT
bracis-28406	53	24	s	s	NOUN
bracis-28406	53	25	^{1+\lambda	^{1+\lambda	PRON
bracis-28406	53	26	}	}	PUNCT
bracis-28406	53	27	}	}	PUNCT
bracis-28406	53	28	,	,	PUNCT
bracis-28406	53	29	\quad	\quad	PROPN
bracis-28406	53	30	|s|\rightarrow	|s|\rightarrow	NUM
bracis-28406	53	31	\infty	\infty	PROPN
bracis-28406	53	32	,	,	PUNCT
bracis-28406	53	33	\end{aligned}$$	\end{aligned}$$	X
bracis-28406	53	34	(	(	PUNCT
bracis-28406	53	35	2	2	NUM
bracis-28406	53	36	)	)	PUNCT
bracis-28406	53	37	where	where	SCONJ
bracis-28406	53	38	\(\vargamma	\(\vargamma	PROPN
bracis-28406	53	39	(	(	PUNCT
bracis-28406	53	40	\lambda	\lambda	PROPN
bracis-28406	53	41	)	)	PUNCT
bracis-28406	53	42	\	\	NOUN
bracis-28406	53	43	)	)	PUNCT
bracis-28406	53	44	stands	stand	VERB
bracis-28406	53	45	for	for	ADP
bracis-28406	53	46	the	the	DET
bracis-28406	53	47	gamma	gamma	PROPN
bracis-28406	53	48	function	function	NOUN
bracis-28406	53	49	with	with	ADP
bracis-28406	53	50	index	index	NOUN
bracis-28406	53	51	\(\lambda	\(\lambda	NOUN
bracis-28406	53	52	\	\	PROPN
bracis-28406	53	53	)	)	PUNCT
bracis-28406	53	54	,	,	PUNCT
bracis-28406	53	55	\(\alpha	\(\alpha	PROPN
bracis-28406	53	56	\	\	NOUN
bracis-28406	53	57	)	)	PUNCT
bracis-28406	53	58	is	be	AUX
bracis-28406	53	59	a	a	DET
bracis-28406	53	60	control	control	NOUN
bracis-28406	53	61	parameter	parameter	NOUN
bracis-28406	53	62	for	for	ADP
bracis-28406	53	63	the	the	DET
bracis-28406	53	64	tail	tail	NOUN
bracis-28406	53	65	distribution	distribution	NOUN
bracis-28406	53	66	(	(	PUNCT
bracis-28406	53	67	\(\alpha	\(\alpha	NOUN
bracis-28406	53	68	=	=	SYM
bracis-28406	53	69	1\	1\	NUM
bracis-28406	53	70	)	)	PUNCT
bracis-28406	53	71	)	)	PUNCT
bracis-28406	53	72	,	,	PUNCT
bracis-28406	53	73	and	and	CCONJ
bracis-28406	53	74	s	s	VERB
bracis-28406	53	75	is	be	AUX
bracis-28406	53	76	the	the	DET
bracis-28406	53	77	step	step	NOUN
bracis-28406	53	78	size	size	NOUN
bracis-28406	53	79	.	.	PUNCT
bracis-28406	54	1	according	accord	VERB
bracis-28406	54	2	to	to	ADP
bracis-28406	54	3	mantegna	mantegna	PROPN
bracis-28406	54	4	 	 	SPACE
bracis-28406	54	5	[	[	X
bracis-28406	54	6	12	12	NUM
bracis-28406	54	7	]	]	PUNCT
bracis-28406	54	8	,	,	PUNCT
bracis-28406	54	9	for	for	ADP
bracis-28406	54	10	large	large	ADJ
bracis-28406	54	11	steps	step	NOUN
bracis-28406	54	12	\(s	\(s	ADJ
bracis-28406	54	13	\gg	\gg	PROPN
bracis-28406	54	14	s_0	s_0	ADJ
bracis-28406	54	15	>	>	X
bracis-28406	54	16	0\	0\	PROPN
bracis-28406	54	17	)	)	PUNCT
bracis-28406	54	18	,	,	PUNCT
bracis-28406	54	19	s	s	VERB
bracis-28406	54	20	can	can	AUX
bracis-28406	54	21	be	be	AUX
bracis-28406	54	22	computed	compute	VERB
bracis-28406	54	23	through	through	ADP
bracis-28406	54	24	a	a	DET
bracis-28406	54	25	linear	linear	ADJ
bracis-28406	54	26	transformation	transformation	NOUN
bracis-28406	54	27	as	as	SCONJ
bracis-28406	54	28	follows	follow	VERB
bracis-28406	54	29	:	:	PUNCT
bracis-28406	55	1	$	$	SYM
bracis-28406	55	2	$	$	SYM
bracis-28406	55	3	\begin{aligned	\begin{aligne	VERB
bracis-28406	55	4	}	}	PUNCT
bracis-28406	55	5	s	s	PART
bracis-28406	55	6	=	=	NOUN
bracis-28406	55	7	\frac{\psi	\frac{\psi	NOUN
bracis-28406	55	8	}	}	PUNCT
bracis-28406	55	9	{	{	PUNCT
bracis-28406	55	10	\eta	\eta	PROPN
bracis-28406	55	11	^{\lambda	^{\lambda	NUM
bracis-28406	55	12	-1	-1	PUNCT
bracis-28406	55	13	}	}	PUNCT
bracis-28406	55	14	}	}	PUNCT
bracis-28406	55	15	,	,	PUNCT
bracis-28406	55	16	\end{aligned}$$	\end{aligned}$$	X
bracis-28406	55	17	(	(	PUNCT
bracis-28406	55	18	3	3	NUM
bracis-28406	55	19	)	)	PUNCT
bracis-28406	55	20	where	where	SCONJ
bracis-28406	55	21	\(\psi	\(\psi	VERB
bracis-28406	55	22	\	\	NOUN
bracis-28406	55	23	)	)	PUNCT
bracis-28406	55	24	and	and	CCONJ
bracis-28406	55	25	\(\eta	\(\eta	X
bracis-28406	55	26	\	\	NOUN
bracis-28406	55	27	)	)	PUNCT
bracis-28406	55	28	are	be	AUX
bracis-28406	55	29	drawn	draw	VERB
bracis-28406	55	30	from	from	ADP
bracis-28406	55	31	a	a	DET
bracis-28406	55	32	gaussian	gaussian	ADJ
bracis-28406	55	33	distribution	distribution	NOUN
bracis-28406	55	34	with	with	ADP
bracis-28406	55	35	zero	zero	NUM
bracis-28406	55	36	mean	mean	NOUN
bracis-28406	55	37	and	and	CCONJ
bracis-28406	55	38	standard	standard	ADJ
bracis-28406	55	39	deviations	deviation	NOUN
bracis-28406	55	40	\(\sigma	\(\sigma	NOUN
bracis-28406	55	41	_	_	PRON
bracis-28406	55	42	\psi	\psi	PROPN
bracis-28406	55	43	\	\	NOUN
bracis-28406	55	44	)	)	PUNCT
bracis-28406	55	45	and	and	CCONJ
bracis-28406	55	46	\(\sigma	\(\sigma	NOUN
bracis-28406	55	47	_	_	PUNCT
bracis-28406	56	1	\eta	\eta	ADJ
bracis-28406	56	2	\	\	NOUN
bracis-28406	56	3	)	)	PUNCT
bracis-28406	56	4	computed	compute	VERB
bracis-28406	56	5	as	as	SCONJ
bracis-28406	56	6	follows	follow	VERB
bracis-28406	56	7	$	$	SYM
bracis-28406	56	8	$	$	SYM
bracis-28406	56	9	\begin{aligned	\begin{aligne	VERB
bracis-28406	56	10	}	}	PUNCT
bracis-28406	56	11	\sigma	\sigma	PROPN
bracis-28406	56	12	_	_	PUNCT
bracis-28406	57	1	\psi	\psi	PROPN
bracis-28406	57	2	=	=	SYM
bracis-28406	57	3	\left	\left	PROPN
bracis-28406	57	4	[	[	PUNCT
bracis-28406	57	5	\frac{\vargamma	\frac{\vargamma	X
bracis-28406	57	6	(	(	PUNCT
bracis-28406	57	7	1+\lambda	1+\lambda	NUM
bracis-28406	57	8	)	)	PUNCT
bracis-28406	57	9	}	}	PUNCT
bracis-28406	57	10	{	{	PUNCT
bracis-28406	57	11	\lambda	\lambda	PROPN
bracis-28406	57	12	\vargamma	\vargamma	PROPN
bracis-28406	57	13	(	(	PUNCT
bracis-28406	57	14	(	(	PUNCT
bracis-28406	57	15	1+\lambda	1+\lambda	NUM
bracis-28406	57	16	)	)	PUNCT
bracis-28406	57	17	/2)}\frac{\sin	/2)}\frac{\sin	PROPN
bracis-28406	57	18	(	(	PUNCT
bracis-28406	57	19	\frac{\pi	\frac{\pi	VERB
bracis-28406	57	20	\lambda	\lambda	PROPN
bracis-28406	57	21	}	}	PUNCT
bracis-28406	57	22	{	{	PUNCT
bracis-28406	57	23	2})}{2^{(\lambda	2})}{2^{(\lambda	NUM
bracis-28406	57	24	-1)/2}}\right	-1)/2}}\right	NOUN
bracis-28406	57	25	]	]	X
bracis-28406	57	26	,	,	PUNCT
bracis-28406	57	27	\sigma	\sigma	PROPN
bracis-28406	57	28	_	_	PUNCT
bracis-28406	58	1	\eta	\eta	ADJ
bracis-28406	58	2	=	=	ADJ
bracis-28406	58	3	1	1	X
bracis-28406	58	4	.	.	NUM
bracis-28406	58	5	\end{aligned}$$	\end{aligned}$$	PROPN
bracis-28406	58	6	(	(	PUNCT
bracis-28406	58	7	4	4	NUM
bracis-28406	58	8	)	)	PUNCT
bracis-28406	58	9	in	in	ADP
bracis-28406	58	10	this	this	DET
bracis-28406	58	11	algorithm	algorithm	NOUN
bracis-28406	58	12	,	,	PUNCT
bracis-28406	58	13	\(\lambda	\(\lambda	NOUN
bracis-28406	58	14	\	\	NOUN
bracis-28406	58	15	)	)	PUNCT
bracis-28406	58	16	grows	grow	VERB
bracis-28406	58	17	linearly	linearly	ADV
bracis-28406	58	18	at	at	ADP
bracis-28406	58	19	each	each	DET
bracis-28406	58	20	iteration	iteration	NOUN
bracis-28406	58	21	,	,	PUNCT
bracis-28406	58	22	increasing	increase	VERB
bracis-28406	58	23	the	the	DET
bracis-28406	58	24	length	length	NOUN
bracis-28406	58	25	of	of	ADP
bracis-28406	58	26	steps	step	NOUN
bracis-28406	58	27	of	of	ADP
bracis-28406	58	28	the	the	DET
bracis-28406	58	29	lévy	lévy	ADJ
bracis-28406	58	30	flight	flight	NOUN
bracis-28406	58	31	.	.	PUNCT
bracis-28406	59	1	moreover	moreover	ADV
bracis-28406	59	2	,	,	PUNCT
bracis-28406	59	3	\(\lambda	\(\lambda	NOUN
bracis-28406	59	4	\	\	NOUN
bracis-28406	59	5	)	)	PUNCT
bracis-28406	59	6	is	be	AUX
bracis-28406	59	7	computed	compute	VERB
bracis-28406	59	8	as	as	SCONJ
bracis-28406	59	9	follows	follow	VERB
bracis-28406	59	10	:	:	PUNCT
bracis-28406	59	11	$	$	SYM
bracis-28406	59	12	$	$	SYM
bracis-28406	59	13	\begin{aligned	\begin{aligne	VERB
bracis-28406	59	14	}	}	PUNCT
bracis-28406	60	1	\lambda	\lambda	PROPN
bracis-28406	60	2	=	=	PUNCT
bracis-28406	60	3	\beta	\beta	PROPN
bracis-28406	60	4	+	+	CCONJ
bracis-28406	60	5	(	(	PUNCT
bracis-28406	60	6	2	2	NUM
bracis-28406	60	7	\beta	\beta	PROPN
bracis-28406	60	8	)	)	PUNCT
bracis-28406	60	9	*	*	PUNCT
bracis-28406	61	1	(	(	PUNCT
bracis-28406	61	2	(	(	PUNCT
bracis-28406	61	3	t	t	NOUN
bracis-28406	61	4	+	+	NOUN
bracis-28406	61	5	1	1	NUM
bracis-28406	61	6	)	)	PUNCT
bracis-28406	61	7	/	/	SYM
bracis-28406	61	8	t	t	PROPN
bracis-28406	61	9	)	)	PUNCT
bracis-28406	61	10	,	,	PUNCT
bracis-28406	61	11	\end{aligned}$$	\end{aligned}$$	X
bracis-28406	61	12	(	(	PUNCT
bracis-28406	61	13	5	5	NUM
bracis-28406	61	14	)	)	PUNCT
bracis-28406	61	15	in	in	ADP
bracis-28406	61	16	which	which	PRON
bracis-28406	61	17	\(\beta	\(\beta	X
bracis-28406	61	18	\	\	NOUN
bracis-28406	61	19	)	)	PUNCT
bracis-28406	61	20	is	be	AUX
bracis-28406	61	21	a	a	DET
bracis-28406	61	22	user	user	NOUN
bracis-28406	61	23	-	-	PUNCT
bracis-28406	61	24	configured	configure	VERB
bracis-28406	61	25	parameter	parameter	NOUN
bracis-28406	61	26	,	,	PUNCT
bracis-28406	61	27	and	and	CCONJ
bracis-28406	61	28	t	t	NOUN
bracis-28406	61	29	corresponds	correspond	VERB
bracis-28406	61	30	to	to	ADP
bracis-28406	61	31	the	the	DET
bracis-28406	61	32	maximum	maximum	ADJ
bracis-28406	61	33	number	number	NOUN
bracis-28406	61	34	of	of	ADP
bracis-28406	61	35	iterations	iteration	NOUN
bracis-28406	61	36	.	.	PUNCT
bracis-28406	62	1	the	the	DET
bracis-28406	62	2	position	position	NOUN
bracis-28406	62	3	of	of	ADP
bracis-28406	62	4	each	each	DET
bracis-28406	62	5	squirrel	squirrel	NOUN
bracis-28406	62	6	is	be	AUX
bracis-28406	62	7	updated	update	VERB
bracis-28406	62	8	as	as	SCONJ
bracis-28406	62	9	follows	follow	VERB
bracis-28406	62	10	:	:	PUNCT
bracis-28406	63	1	$	$	SYM
bracis-28406	63	2	$	$	SYM
bracis-28406	63	3	\begin{aligned	\begin{aligne	VERB
bracis-28406	63	4	}	}	PUNCT
bracis-28406	63	5	\textbf{x}_i(t+1	\textbf{x}_i(t+1	NOUN
bracis-28406	63	6	)	)	PUNCT
bracis-28406	63	7	=	=	SYM
bracis-28406	63	8	\textbf{x}_i(t	\textbf{x}_i(t	NOUN
bracis-28406	63	9	)	)	PUNCT
bracis-28406	64	1	+	+	CCONJ
bracis-28406	64	2	l(\lambda	l(\lambda	PROPN
bracis-28406	64	3	,	,	PUNCT
bracis-28406	64	4	s,\alpha	s,\alpha	ADJ
bracis-28406	64	5	)	)	PUNCT
bracis-28406	64	6	\cdot	\cdot	PROPN
bracis-28406	64	7	\textbf{r	\textbf{r	PROPN
bracis-28406	64	8	}	}	PUNCT
bracis-28406	64	9	\otimes	\otimes	PROPN
bracis-28406	64	10	(	(	PUNCT
bracis-28406	64	11	\textbf{x}_i(t	\textbf{x}_i(t	PROPN
bracis-28406	64	12	)	)	PUNCT
bracis-28406	64	13	\textbf{x}_{best	\textbf{x}_{best	NUM
bracis-28406	64	14	}	}	PUNCT
bracis-28406	64	15	)	)	PUNCT
bracis-28406	64	16	,	,	PUNCT
bracis-28406	64	17	\end{aligned}$$	\end{aligned}$$	X
bracis-28406	64	18	(	(	PUNCT
bracis-28406	64	19	6	6	NUM
bracis-28406	64	20	)	)	PUNCT
bracis-28406	64	21	where	where	SCONJ
bracis-28406	64	22	\(\textbf{x}_{best}\	\(\textbf{x}_{best}\	NOUN
bracis-28406	64	23	)	)	PUNCT
bracis-28406	64	24	is	be	AUX
bracis-28406	64	25	the	the	DET
bracis-28406	64	26	best	good	ADJ
bracis-28406	64	27	solution	solution	NOUN
bracis-28406	64	28	found	find	VERB
bracis-28406	64	29	so	so	ADV
bracis-28406	64	30	far	far	ADV
bracis-28406	64	31	,	,	PUNCT
bracis-28406	64	32	and	and	CCONJ
bracis-28406	64	33	\(\otimes	\(\otime	NOUN
bracis-28406	64	34	\	\	NOUN
bracis-28406	64	35	)	)	PUNCT
bracis-28406	64	36	denotes	denote	VERB
bracis-28406	64	37	the	the	DET
bracis-28406	64	38	pointwise	pointwise	ADJ
bracis-28406	64	39	multiplication	multiplication	NOUN
bracis-28406	64	40	.	.	PUNCT
bracis-28406	65	1	2.1	2.1	NUM
bracis-28406	65	2	algorithmic	algorithmic	ADJ
bracis-28406	65	3	analysis	analysis	NOUN
bracis-28406	65	4	algorithm	algorithm	NOUN
bracis-28406	65	5	 	 	SPACE
bracis-28406	65	6	1	1	NUM
bracis-28406	65	7	describes	describe	VERB
bracis-28406	65	8	how	how	SCONJ
bracis-28406	65	9	fso	fso	NOUN
bracis-28406	65	10	works	work	VERB
bracis-28406	65	11	in	in	ADP
bracis-28406	65	12	more	more	ADJ
bracis-28406	65	13	detail	detail	NOUN
bracis-28406	65	14	.	.	PUNCT
bracis-28406	66	1	lines	line	NOUN
bracis-28406	66	2	1–4	1–4	PROPN
bracis-28406	66	3	initialize	initialize	VERB
bracis-28406	66	4	each	each	DET
bracis-28406	66	5	possible	possible	ADJ
bracis-28406	66	6	solution	solution	NOUN
bracis-28406	66	7	(	(	PUNCT
bracis-28406	66	8	squirrel	squirrel	NOUN
bracis-28406	66	9	)	)	PUNCT
bracis-28406	66	10	with	with	ADP
bracis-28406	66	11	random	random	ADJ
bracis-28406	66	12	values	value	NOUN
bracis-28406	66	13	uniformly	uniformly	ADV
bracis-28406	66	14	distributed	distribute	VERB
bracis-28406	66	15	within	within	ADP
bracis-28406	66	16	[	[	X
bracis-28406	66	17	0	0	NUM
bracis-28406	66	18	,	,	PUNCT
bracis-28406	66	19	 	 	SPACE
bracis-28406	66	20	1	1	NUM
bracis-28406	66	21	]	]	PUNCT
bracis-28406	66	22	.	.	PUNCT
bracis-28406	67	1	the	the	DET
bracis-28406	67	2	fitness	fitness	NOUN
bracis-28406	67	3	value	value	NOUN
bracis-28406	67	4	of	of	ADP
bracis-28406	67	5	each	each	DET
bracis-28406	67	6	solution	solution	NOUN
bracis-28406	67	7	is	be	AUX
bracis-28406	67	8	set	set	VERB
bracis-28406	67	9	to	to	ADP
bracis-28406	67	10	a	a	DET
bracis-28406	67	11	great	great	ADJ
bracis-28406	67	12	value	value	NOUN
bracis-28406	67	13	in	in	ADP
bracis-28406	67	14	line	line	NOUN
bracis-28406	67	15	4	4	NUM
bracis-28406	67	16	.	.	PUNCT
bracis-28406	68	1	this	this	DET
bracis-28406	68	2	loop	loop	NOUN
bracis-28406	68	3	takes	take	VERB
bracis-28406	68	4	\(\theta	\(\theta	NOUN
bracis-28406	68	5	(	(	PUNCT
bracis-28406	68	6	mn)\	mn)\	PROPN
bracis-28406	68	7	)	)	PUNCT
bracis-28406	68	8	operations	operation	NOUN
bracis-28406	68	9	.	.	PUNCT
bracis-28406	69	1	the	the	DET
bracis-28406	69	2	main	main	ADJ
bracis-28406	69	3	loop	loop	NOUN
bracis-28406	69	4	in	in	ADP
bracis-28406	69	5	lines	line	NOUN
bracis-28406	69	6	6–24	6–24	PROPN
bracis-28406	69	7	controls	control	VERB
bracis-28406	69	8	the	the	DET
bracis-28406	69	9	fso	fso	NOUN
bracis-28406	69	10	mechanism	mechanism	NOUN
bracis-28406	69	11	,	,	PUNCT
bracis-28406	69	12	taking	take	VERB
bracis-28406	69	13	\(\theta	\(\theta	NOUN
bracis-28406	69	14	(	(	PUNCT
bracis-28406	69	15	t)\	t)\	NOUN
bracis-28406	69	16	)	)	PUNCT
bracis-28406	69	17	steps	step	NOUN
bracis-28406	69	18	.	.	PUNCT
bracis-28406	70	1	as	as	SCONJ
bracis-28406	70	2	mentioned	mention	VERB
bracis-28406	70	3	earlier	early	ADV
bracis-28406	70	4	,	,	PUNCT
bracis-28406	70	5	squirrels	squirrel	NOUN
bracis-28406	70	6	follow	follow	VERB
bracis-28406	70	7	two	two	NUM
bracis-28406	70	8	main	main	ADJ
bracis-28406	70	9	movements	movement	NOUN
bracis-28406	70	10	.	.	PUNCT
bracis-28406	71	1	the	the	DET
bracis-28406	71	2	parameter	parameter	NOUN
bracis-28406	71	3	\(\sigma	\(\sigma	NOUN
bracis-28406	71	4	\	\	PROPN
bracis-28406	71	5	)	)	PUNCT
bracis-28406	71	6	of	of	ADP
bracis-28406	71	7	the	the	DET
bracis-28406	71	8	first	first	ADJ
bracis-28406	71	9	(	(	PUNCT
bracis-28406	71	10	eq	eq	NOUN
bracis-28406	71	11	.	.	PUNCT
bracis-28406	71	12	 	 	SPACE
bracis-28406	71	13	1	1	X
bracis-28406	71	14	)	)	PUNCT
bracis-28406	71	15	is	be	AUX
bracis-28406	71	16	computed	compute	VERB
bracis-28406	71	17	in	in	ADP
bracis-28406	71	18	line	line	NOUN
bracis-28406	71	19	7	7	NUM
bracis-28406	71	20	,	,	PUNCT
bracis-28406	71	21	and	and	CCONJ
bracis-28406	71	22	variable	variable	ADJ
bracis-28406	71	23	\(\lambda	\(\lambda	NOUN
bracis-28406	71	24	\	\	NOUN
bracis-28406	71	25	)	)	PUNCT
bracis-28406	71	26	,	,	PUNCT
bracis-28406	71	27	which	which	PRON
bracis-28406	71	28	concerns	concern	VERB
bracis-28406	71	29	the	the	DET
bracis-28406	71	30	second	second	ADJ
bracis-28406	71	31	movement	movement	NOUN
bracis-28406	71	32	,	,	PUNCT
bracis-28406	71	33	is	be	AUX
bracis-28406	71	34	obtained	obtain	VERB
bracis-28406	71	35	in	in	ADP
bracis-28406	71	36	line	line	NOUN
bracis-28406	71	37	8	8	NUM
bracis-28406	71	38	.	.	PUNCT
bracis-28406	72	1	the	the	DET
bracis-28406	72	2	inner	inner	ADJ
bracis-28406	72	3	loop	loop	NOUN
bracis-28406	72	4	in	in	ADP
bracis-28406	72	5	lines	line	NOUN
bracis-28406	72	6	10–19	10–19	NUM
bracis-28406	72	7	computes	compute	VERB
bracis-28406	72	8	a	a	DET
bracis-28406	72	9	new	new	ADJ
bracis-28406	72	10	position	position	NOUN
bracis-28406	72	11	for	for	ADP
bracis-28406	72	12	each	each	DET
bracis-28406	72	13	squirrel	squirrel	NOUN
bracis-28406	72	14	(	(	PUNCT
bracis-28406	72	15	lines	line	NOUN
bracis-28406	72	16	13–14	13–14	NUM
bracis-28406	72	17	)	)	PUNCT
bracis-28406	72	18	,	,	PUNCT
bracis-28406	72	19	evaluates	evaluate	VERB
bracis-28406	72	20	its	its	PRON
bracis-28406	72	21	fitness	fitness	NOUN
bracis-28406	72	22	value	value	NOUN
bracis-28406	72	23	(	(	PUNCT
bracis-28406	72	24	line	line	NOUN
bracis-28406	72	25	15	15	NUM
bracis-28406	72	26	)	)	PUNCT
bracis-28406	72	27	,	,	PUNCT
bracis-28406	72	28	and	and	CCONJ
bracis-28406	72	29	updates	update	VERB
bracis-28406	72	30	its	its	PRON
bracis-28406	72	31	position	position	NOUN
bracis-28406	72	32	if	if	SCONJ
bracis-28406	72	33	it	it	PRON
bracis-28406	72	34	has	have	VERB
bracis-28406	72	35	a	a	DET
bracis-28406	72	36	better	well	ADJ
bracis-28406	72	37	solution	solution	NOUN
bracis-28406	72	38	(	(	PUNCT
bracis-28406	72	39	lines	line	NOUN
bracis-28406	72	40	16–19	16–19	NUM
bracis-28406	72	41	)	)	PUNCT
bracis-28406	72	42	.	.	PUNCT
bracis-28406	73	1	these	these	DET
bracis-28406	73	2	steps	step	NOUN
bracis-28406	73	3	take	take	VERB
bracis-28406	73	4	\(\theta	\(\theta	NOUN
bracis-28406	73	5	(	(	PUNCT
bracis-28406	73	6	mn)\	mn)\	PROPN
bracis-28406	73	7	)	)	PUNCT
bracis-28406	73	8	calculations	calculation	NOUN
bracis-28406	73	9	.	.	PUNCT
bracis-28406	74	1	last	last	ADJ
bracis-28406	74	2	but	but	CCONJ
bracis-28406	74	3	not	not	PART
bracis-28406	74	4	least	least	ADJ
bracis-28406	74	5	,	,	PUNCT
bracis-28406	74	6	lines	line	NOUN
bracis-28406	74	7	20–24	20–24	NUM
bracis-28406	74	8	update	update	VERB
bracis-28406	74	9	the	the	DET
bracis-28406	74	10	best	good	ADJ
bracis-28406	74	11	solution	solution	NOUN
bracis-28406	74	12	whithin	whithin	VERB
bracis-28406	74	13	the	the	DET
bracis-28406	74	14	swarm	swarm	NOUN
bracis-28406	74	15	.	.	PUNCT
bracis-28406	75	1	this	this	DET
bracis-28406	75	2	loop	loop	NOUN
bracis-28406	75	3	takes	take	VERB
bracis-28406	75	4	o(mn	o(mn	NOUN
bracis-28406	75	5	)	)	PUNCT
bracis-28406	75	6	operations	operation	NOUN
bracis-28406	75	7	.	.	PUNCT
bracis-28406	76	1	the	the	DET
bracis-28406	76	2	overall	overall	ADJ
bracis-28406	76	3	complexity	complexity	NOUN
bracis-28406	76	4	is	be	AUX
bracis-28406	76	5	given	give	VERB
bracis-28406	76	6	by	by	ADP
bracis-28406	76	7	\(\theta	\(\theta	NOUN
bracis-28406	76	8	(	(	PUNCT
bracis-28406	76	9	tmno)\	tmno)\	NOUN
bracis-28406	76	10	)	)	PUNCT
bracis-28406	76	11	operations	operation	NOUN
bracis-28406	76	12	in	in	ADP
bracis-28406	76	13	which	which	PRON
bracis-28406	76	14	\(\theta	\(\theta	NOUN
bracis-28406	76	15	(	(	PUNCT
bracis-28406	76	16	o)\	o)\	NOUN
bracis-28406	76	17	)	)	PUNCT
bracis-28406	76	18	represents	represent	VERB
bracis-28406	76	19	the	the	DET
bracis-28406	76	20	complexity	complexity	NOUN
bracis-28406	76	21	to	to	PART
bracis-28406	76	22	compute	compute	VERB
bracis-28406	76	23	the	the	DET
bracis-28406	76	24	fitness	fitness	NOUN
bracis-28406	76	25	function	function	NOUN
bracis-28406	76	26	.	.	PUNCT
bracis-28406	77	1	algorithm	algorithm	NOUN
bracis-28406	77	2	1	1	NUM
bracis-28406	77	3	flying	fly	VERB
bracis-28406	77	4	squirrel	squirrel	NOUN
bracis-28406	77	5	optimizer	optimizer	NOUN
bracis-28406	77	6	full	full	ADJ
bracis-28406	77	7	size	size	NOUN
bracis-28406	77	8	image	image	NOUN
bracis-28406	77	9	3	3	NUM
bracis-28406	77	10	methodology	methodology	NOUN
bracis-28406	77	11	table	table	NOUN
bracis-28406	77	12	 	 	SPACE
bracis-28406	77	13	1	1	NUM
bracis-28406	77	14	presents	present	VERB
bracis-28406	77	15	the	the	DET
bracis-28406	77	16	datasets	dataset	NOUN
bracis-28406	77	17	used	use	VERB
bracis-28406	77	18	to	to	PART
bracis-28406	77	19	evaluate	evaluate	VERB
bracis-28406	77	20	the	the	DET
bracis-28406	77	21	robustness	robustness	NOUN
bracis-28406	77	22	of	of	ADP
bracis-28406	77	23	bfso	bfso	NOUN
bracis-28406	77	24	in	in	ADP
bracis-28406	77	25	the	the	DET
bracis-28406	77	26	context	context	NOUN
bracis-28406	77	27	of	of	ADP
bracis-28406	77	28	feature	feature	NOUN
bracis-28406	77	29	selection	selection	NOUN
bracis-28406	77	30	.	.	PUNCT
bracis-28406	78	1	note	note	VERB
bracis-28406	78	2	that	that	SCONJ
bracis-28406	78	3	for	for	ADP
bracis-28406	78	4	this	this	DET
bracis-28406	78	5	work	work	NOUN
bracis-28406	78	6	,	,	PUNCT
bracis-28406	78	7	we	we	PRON
bracis-28406	78	8	used	use	VERB
bracis-28406	78	9	publicly	publicly	ADV
bracis-28406	78	10	available	available	ADJ
bracis-28406	78	11	datasets	dataset	NOUN
bracis-28406	78	12	in	in	ADP
bracis-28406	78	13	the	the	DET
bracis-28406	78	14	uci	uci	PROPN
bracis-28406	78	15	repositoryfootnote	repositoryfootnote	PROPN
bracis-28406	78	16	1	1	NUM
bracis-28406	78	17	and	and	CCONJ
bracis-28406	78	18	six	six	NUM
bracis-28406	78	19	datasets	dataset	NOUN
bracis-28406	78	20	,	,	PUNCT
bracis-28406	78	21	i.e.	i.e.	X
bracis-28406	78	22	,	,	PUNCT
bracis-28406	78	23	the	the	DET
bracis-28406	78	24	last	last	ADJ
bracis-28406	78	25	six	six	NUM
bracis-28406	78	26	items	item	NOUN
bracis-28406	78	27	presented	present	VERB
bracis-28406	78	28	in	in	ADP
bracis-28406	78	29	table	table	NOUN
bracis-28406	78	30	 	 	SPACE
bracis-28406	78	31	1	1	NUM
bracis-28406	78	32	,	,	PUNCT
bracis-28406	78	33	which	which	PRON
bracis-28406	78	34	will	will	AUX
bracis-28406	78	35	be	be	AUX
bracis-28406	78	36	used	use	VERB
bracis-28406	78	37	to	to	PART
bracis-28406	78	38	validate	validate	VERB
bracis-28406	78	39	the	the	DET
bracis-28406	78	40	bfso	bfso	NOUN
bracis-28406	78	41	in	in	ADP
bracis-28406	78	42	the	the	DET
bracis-28406	78	43	context	context	NOUN
bracis-28406	78	44	of	of	ADP
bracis-28406	78	45	identifying	identify	VERB
bracis-28406	78	46	faults	fault	NOUN
bracis-28406	78	47	in	in	ADP
bracis-28406	78	48	power	power	NOUN
bracis-28406	78	49	transformers	transformer	NOUN
bracis-28406	78	50	.	.	PUNCT
bracis-28406	79	1	the	the	DET
bracis-28406	79	2	data	datum	NOUN
bracis-28406	79	3	used	use	VERB
bracis-28406	79	4	to	to	PART
bracis-28406	79	5	form	form	VERB
bracis-28406	79	6	these	these	DET
bracis-28406	79	7	six	six	NUM
bracis-28406	79	8	data	datum	NOUN
bracis-28406	79	9	sets	set	NOUN
bracis-28406	79	10	were	be	AUX
bracis-28406	79	11	obtained	obtain	VERB
bracis-28406	79	12	from	from	ADP
bracis-28406	79	13	iec	iec	NOUN
bracis-28406	79	14	tc10	tc10	PROPN
bracis-28406	79	15	 	 	SPACE
bracis-28406	80	1	[	[	X
bracis-28406	80	2	1	1	NUM
bracis-28406	80	3	]	]	PUNCT
bracis-28406	80	4	and	and	CCONJ
bracis-28406	80	5	scientific	scientific	ADJ
bracis-28406	80	6	papers	paper	NOUN
bracis-28406	80	7	 	 	SPACE
bracis-28406	81	1	[	[	X
bracis-28406	81	2	5	5	NUM
bracis-28406	81	3	]	]	PUNCT
bracis-28406	81	4	.	.	PUNCT
bracis-28406	82	1	one	one	PRON
bracis-28406	82	2	can	can	AUX
bracis-28406	82	3	observe	observe	VERB
bracis-28406	82	4	the	the	DET
bracis-28406	82	5	different	different	ADJ
bracis-28406	82	6	scenarios	scenario	NOUN
bracis-28406	82	7	,	,	PUNCT
bracis-28406	82	8	i.e.	i.e.	X
bracis-28406	82	9	,	,	PUNCT
bracis-28406	82	10	datasets	dataset	NOUN
bracis-28406	82	11	with	with	ADP
bracis-28406	82	12	varying	vary	VERB
bracis-28406	82	13	size	size	NOUN
bracis-28406	82	14	,	,	PUNCT
bracis-28406	82	15	from	from	ADP
bracis-28406	82	16	different	different	ADJ
bracis-28406	82	17	domains	domain	NOUN
bracis-28406	82	18	,	,	PUNCT
bracis-28406	82	19	and	and	CCONJ
bracis-28406	82	20	with	with	ADP
bracis-28406	82	21	a	a	DET
bracis-28406	82	22	wide	wide	ADJ
bracis-28406	82	23	range	range	NOUN
bracis-28406	82	24	concerning	concern	VERB
bracis-28406	82	25	the	the	DET
bracis-28406	82	26	number	number	NOUN
bracis-28406	82	27	of	of	ADP
bracis-28406	82	28	features	feature	NOUN
bracis-28406	82	29	.	.	PUNCT
bracis-28406	83	1	each	each	DET
bracis-28406	83	2	dataset	dataset	NOUN
bracis-28406	83	3	was	be	AUX
bracis-28406	83	4	split	split	VERB
bracis-28406	83	5	into	into	ADP
bracis-28406	83	6	training	training	NOUN
bracis-28406	83	7	,	,	PUNCT
bracis-28406	83	8	validation	validation	NOUN
bracis-28406	83	9	,	,	PUNCT
bracis-28406	83	10	and	and	CCONJ
bracis-28406	83	11	testing	testing	NOUN
bracis-28406	83	12	sets	set	NOUN
bracis-28406	83	13	using	use	VERB
bracis-28406	83	14	a	a	DET
bracis-28406	83	15	2	2	NUM
bracis-28406	83	16	 	 	SPACE
bracis-28406	83	17	:	:	PUNCT
bracis-28406	83	18	 	 	SPACE
bracis-28406	83	19	1	1	NUM
bracis-28406	83	20	 	 	SPACE
bracis-28406	83	21	:	:	PUNCT
bracis-28406	83	22	 	 	SPACE
bracis-28406	83	23	1	1	NUM
bracis-28406	83	24	ratio	ratio	NOUN
bracis-28406	83	25	.	.	PUNCT
bracis-28406	84	1	the	the	DET
bracis-28406	84	2	pipeline	pipeline	NOUN
bracis-28406	84	3	of	of	ADP
bracis-28406	84	4	the	the	DET
bracis-28406	84	5	proposed	propose	VERB
bracis-28406	84	6	approach	approach	NOUN
bracis-28406	84	7	is	be	AUX
bracis-28406	84	8	depicted	depict	VERB
bracis-28406	84	9	in	in	ADP
bracis-28406	84	10	fig	fig	NOUN
bracis-28406	84	11	.	.	PUNCT
bracis-28406	84	12	 	 	SPACE
bracis-28406	85	1	1	1	NUM
bracis-28406	85	2	,	,	PUNCT
bracis-28406	85	3	in	in	ADP
bracis-28406	85	4	which	which	DET
bracis-28406	85	5	fig	fig	NOUN
bracis-28406	85	6	.	.	PUNCT
bracis-28406	85	7	 	 	SPACE
bracis-28406	85	8	1a	1a	PROPN
bracis-28406	85	9	ilustrates	ilustrate	VERB
bracis-28406	85	10	the	the	DET
bracis-28406	85	11	optimization	optimization	NOUN
bracis-28406	85	12	process	process	NOUN
bracis-28406	85	13	to	to	PART
bracis-28406	85	14	find	find	VERB
bracis-28406	85	15	the	the	DET
bracis-28406	85	16	best	good	ADJ
bracis-28406	85	17	subswt	subswt	NOUN
bracis-28406	85	18	of	of	ADP
bracis-28406	85	19	features	feature	NOUN
bracis-28406	85	20	and	and	CCONJ
bracis-28406	85	21	fig	fig	NOUN
bracis-28406	85	22	.	.	PUNCT
bracis-28406	85	23	 	 	SPACE
bracis-28406	86	1	1b	1b	PROPN
bracis-28406	86	2	ilustrates	ilustrate	VERB
bracis-28406	86	3	the	the	DET
bracis-28406	86	4	final	final	ADJ
bracis-28406	86	5	evaluation	evaluation	NOUN
bracis-28406	86	6	step	step	NOUN
bracis-28406	86	7	,	,	PUNCT
bracis-28406	86	8	where	where	SCONJ
bracis-28406	86	9	the	the	DET
bracis-28406	86	10	selected	select	VERB
bracis-28406	86	11	features	feature	NOUN
bracis-28406	86	12	are	be	AUX
bracis-28406	86	13	employed	employ	VERB
bracis-28406	86	14	to	to	PART
bracis-28406	86	15	classify	classify	VERB
bracis-28406	86	16	the	the	DET
bracis-28406	86	17	test	test	NOUN
bracis-28406	86	18	subset	subset	NOUN
bracis-28406	86	19	.	.	PUNCT
bracis-28406	87	1	table	table	NOUN
bracis-28406	87	2	1	1	NUM
bracis-28406	87	3	.	.	PUNCT
bracis-28406	88	1	datasets	dataset	NOUN
bracis-28406	88	2	used	use	VERB
bracis-28406	88	3	in	in	ADP
bracis-28406	88	4	the	the	DET
bracis-28406	88	5	comparative	comparative	ADJ
bracis-28406	88	6	study.full	study.full	NOUN
bracis-28406	88	7	size	size	NOUN
bracis-28406	88	8	table	table	NOUN
bracis-28406	88	9	fig	fig	NOUN
bracis-28406	88	10	.	.	PUNCT
bracis-28406	89	1	1	1	X
bracis-28406	89	2	.	.	NUM
bracis-28406	89	3	proposed	propose	VERB
bracis-28406	89	4	approach	approach	NOUN
bracis-28406	89	5	pipeline	pipeline	NOUN
bracis-28406	89	6	:	:	PUNCT
bracis-28406	89	7	(	(	PUNCT
bracis-28406	89	8	a	a	X
bracis-28406	89	9	)	)	PUNCT
bracis-28406	89	10	feature	feature	NOUN
bracis-28406	89	11	optimization	optimization	NOUN
bracis-28406	89	12	and	and	CCONJ
bracis-28406	89	13	(	(	PUNCT
bracis-28406	89	14	b	b	NOUN
bracis-28406	89	15	)	)	PUNCT
bracis-28406	89	16	final	final	ADJ
bracis-28406	89	17	evaluation	evaluation	NOUN
bracis-28406	89	18	.	.	PUNCT
bracis-28406	90	1	full	full	ADJ
bracis-28406	90	2	size	size	NOUN
bracis-28406	90	3	image	image	NOUN
bracis-28406	90	4	at	at	ADP
bracis-28406	90	5	each	each	DET
bracis-28406	90	6	iteration	iteration	NOUN
bracis-28406	90	7	,	,	PUNCT
bracis-28406	90	8	the	the	DET
bracis-28406	90	9	agent	agent	NOUN
bracis-28406	90	10	’s	’s	PART
bracis-28406	90	11	position	position	NOUN
bracis-28406	90	12	in	in	ADP
bracis-28406	90	13	the	the	DET
bracis-28406	90	14	search	search	NOUN
bracis-28406	90	15	space	space	NOUN
bracis-28406	90	16	is	be	AUX
bracis-28406	90	17	updated	update	VERB
bracis-28406	90	18	,	,	PUNCT
bracis-28406	90	19	and	and	CCONJ
bracis-28406	90	20	the	the	DET
bracis-28406	90	21	fitness	fitness	NOUN
bracis-28406	90	22	value	value	NOUN
bracis-28406	90	23	is	be	AUX
bracis-28406	90	24	computed	compute	VERB
bracis-28406	90	25	by	by	ADP
bracis-28406	90	26	evaluating	evaluate	VERB
bracis-28406	90	27	the	the	DET
bracis-28406	90	28	objective	objective	ADJ
bracis-28406	90	29	function	function	NOUN
bracis-28406	90	30	.	.	PUNCT
bracis-28406	91	1	given	give	VERB
bracis-28406	91	2	that	that	SCONJ
bracis-28406	91	3	agents	agent	NOUN
bracis-28406	91	4	move	move	VERB
bracis-28406	91	5	through	through	ADP
bracis-28406	91	6	the	the	DET
bracis-28406	91	7	search	search	NOUN
bracis-28406	91	8	space	space	NOUN
bracis-28406	91	9	with	with	ADP
bracis-28406	91	10	real	real	ADJ
bracis-28406	91	11	values	value	NOUN
bracis-28406	91	12	,	,	PUNCT
bracis-28406	91	13	we	we	PRON
bracis-28406	91	14	propose	propose	VERB
bracis-28406	91	15	to	to	PART
bracis-28406	91	16	use	use	VERB
bracis-28406	91	17	a	a	DET
bracis-28406	91	18	transfer	transfer	NOUN
bracis-28406	91	19	function	function	NOUN
bracis-28406	91	20	to	to	PART
bracis-28406	91	21	convert	convert	VERB
bracis-28406	91	22	real	real	ADJ
bracis-28406	91	23	to	to	ADP
bracis-28406	91	24	binary	binary	ADJ
bracis-28406	91	25	values	value	NOUN
bracis-28406	91	26	before	before	ADP
bracis-28406	91	27	evaluating	evaluate	VERB
bracis-28406	91	28	the	the	DET
bracis-28406	91	29	objective	objective	ADJ
bracis-28406	91	30	function	function	NOUN
bracis-28406	91	31	.	.	PUNCT
bracis-28406	92	1	the	the	DET
bracis-28406	92	2	transfer	transfer	NOUN
bracis-28406	92	3	function	function	NOUN
bracis-28406	92	4	is	be	AUX
bracis-28406	92	5	given	give	VERB
bracis-28406	92	6	as	as	SCONJ
bracis-28406	92	7	follows	follow	VERB
bracis-28406	92	8	:	:	PUNCT
bracis-28406	93	1	$	$	SYM
bracis-28406	93	2	$	$	SYM
bracis-28406	93	3	\begin{aligned	\begin{aligne	VERB
bracis-28406	93	4	}	}	PUNCT
bracis-28406	93	5	\textbf{x}_i	\textbf{x}_i	ADJ
bracis-28406	93	6	&	&	CCONJ
bracis-28406	93	7	=	=	PROPN
bracis-28406	93	8	&	&	CCONJ
bracis-28406	93	9	\left\	\left\	PROPN
bracis-28406	93	10	{	{	PUNCT
bracis-28406	93	11	\begin{array}{ll	\begin{array}{ll	PROPN
bracis-28406	93	12	}	}	PUNCT
bracis-28406	93	13	1\quad	1\quad	NUM
bracis-28406	93	14	&	&	CCONJ
bracis-28406	93	15	{	{	PUNCT
bracis-28406	93	16	}	}	PUNCT
bracis-28406	93	17	\text	\text	NOUN
bracis-28406	93	18	{	{	PUNCT
bracis-28406	93	19	if	if	SCONJ
bracis-28406	93	20	}	}	PUNCT
bracis-28406	93	21	t(\textbf{x}_i)>\phi	t(\textbf{x}_i)>\phi	VERB
bracis-28406	93	22	\text	\text	NOUN
bracis-28406	93	23	{	{	PUNCT
bracis-28406	93	24	,	,	PUNCT
bracis-28406	93	25	}	}	PUNCT
bracis-28406	93	26	\\	\\	NOUN
bracis-28406	93	27	0	0	NUM
bracis-28406	93	28	&	&	CCONJ
bracis-28406	93	29	{	{	PUNCT
bracis-28406	93	30	}	}	PUNCT
bracis-28406	93	31	\text	\text	ADV
bracis-28406	93	32	{	{	PUNCT
bracis-28406	93	33	otherwise	otherwise	ADV
bracis-28406	93	34	}	}	PUNCT
bracis-28406	93	35	\end{array}\right	\end{array}\right	PROPN
bracis-28406	93	36	.	.	PUNCT
bracis-28406	94	1	\end{aligned}$$	\end{aligned}$$	X
bracis-28406	94	2	(	(	PUNCT
bracis-28406	94	3	7	7	NUM
bracis-28406	94	4	)	)	PUNCT
bracis-28406	94	5	in	in	ADP
bracis-28406	94	6	which	which	PRON
bracis-28406	94	7	\(\textbf{x}_{i}\	\(\textbf{x}_{i}\	AUX
bracis-28406	94	8	)	)	PUNCT
bracis-28406	94	9	represents	represent	VERB
bracis-28406	94	10	the	the	DET
bracis-28406	94	11	i	i	PROPN
bracis-28406	94	12	-	-	PUNCT
bracis-28406	94	13	th	th	X
bracis-28406	94	14	agent	agent	NOUN
bracis-28406	94	15	,	,	PUNCT
bracis-28406	94	16	\(\phi	\(\phi	NOUN
bracis-28406	94	17	\sim	\sim	PROPN
bracis-28406	94	18	\mathcal	\mathcal	PROPN
bracis-28406	94	19	{	{	PUNCT
bracis-28406	94	20	u}(0	u}(0	ADJ
bracis-28406	94	21	,	,	PUNCT
bracis-28406	94	22	1)\	1)\	NUM
bracis-28406	94	23	)	)	PUNCT
bracis-28406	94	24	,	,	PUNCT
bracis-28406	94	25	and	and	CCONJ
bracis-28406	94	26	\(t(\cdot	\(t(\cdot	NOUN
bracis-28406	94	27	)	)	PUNCT
bracis-28406	95	1	\	\	NOUN
bracis-28406	95	2	)	)	PUNCT
bracis-28406	95	3	stands	stand	VERB
bracis-28406	95	4	for	for	ADP
bracis-28406	95	5	a	a	DET
bracis-28406	95	6	transfer	transfer	NOUN
bracis-28406	95	7	function	function	NOUN
bracis-28406	95	8	described	describe	VERB
bracis-28406	95	9	as	as	ADP
bracis-28406	95	10	follows	follow	VERB
bracis-28406	95	11	:	:	PUNCT
bracis-28406	95	12	$	$	SYM
bracis-28406	95	13	$	$	SYM
bracis-28406	95	14	\begin{aligned	\begin{aligne	VERB
bracis-28406	95	15	}	}	PUNCT
bracis-28406	95	16	t(\textbf{z	t(\textbf{z	NUM
bracis-28406	95	17	}	}	PUNCT
bracis-28406	95	18	)	)	PUNCT
bracis-28406	96	1	=	=	PUNCT
bracis-28406	97	1	\frac{1}{1	\frac{1}{1	X
bracis-28406	97	2	+	+	CCONJ
bracis-28406	97	3	e^{-\textbf{z	e^{-\textbf{z	VERB
bracis-28406	97	4	}	}	PUNCT
bracis-28406	97	5	}	}	PUNCT
bracis-28406	97	6	}	}	PUNCT
bracis-28406	97	7	.	.	PUNCT
bracis-28406	98	1	\end{aligned}$$	\end{aligned}$$	PROPN
bracis-28406	98	2	(	(	PUNCT
bracis-28406	98	3	8)	8)	NUM
bracis-28406	98	4	after	after	ADP
bracis-28406	98	5	applying	apply	VERB
bracis-28406	98	6	the	the	DET
bracis-28406	98	7	transfer	transfer	NOUN
bracis-28406	98	8	function	function	NOUN
bracis-28406	98	9	,	,	PUNCT
bracis-28406	98	10	a	a	DET
bracis-28406	98	11	binary	binary	ADJ
bracis-28406	98	12	vector	vector	NOUN
bracis-28406	98	13	will	will	AUX
bracis-28406	98	14	originate	originate	VERB
bracis-28406	98	15	a	a	DET
bracis-28406	98	16	new	new	ADJ
bracis-28406	98	17	subset	subset	NOUN
bracis-28406	98	18	,	,	PUNCT
bracis-28406	98	19	selecting	select	VERB
bracis-28406	98	20	only	only	ADV
bracis-28406	98	21	the	the	DET
bracis-28406	98	22	representative	representative	ADJ
bracis-28406	98	23	characteristics	characteristic	NOUN
bracis-28406	98	24	of	of	ADP
bracis-28406	98	25	the	the	DET
bracis-28406	98	26	original	original	ADJ
bracis-28406	98	27	set	set	NOUN
bracis-28406	98	28	.	.	PUNCT
bracis-28406	99	1	this	this	DET
bracis-28406	99	2	process	process	NOUN
bracis-28406	99	3	is	be	AUX
bracis-28406	99	4	accomplished	accomplish	VERB
bracis-28406	99	5	by	by	ADP
bracis-28406	99	6	multiplying	multiply	VERB
bracis-28406	99	7	the	the	DET
bracis-28406	99	8	binary	binary	ADJ
bracis-28406	99	9	vector	vector	NOUN
bracis-28406	99	10	that	that	PRON
bracis-28406	99	11	represents	represent	VERB
bracis-28406	99	12	the	the	DET
bracis-28406	99	13	agent	agent	NOUN
bracis-28406	99	14	’s	’s	PART
bracis-28406	99	15	position	position	NOUN
bracis-28406	99	16	by	by	ADP
bracis-28406	99	17	the	the	DET
bracis-28406	99	18	feature	feature	NOUN
bracis-28406	99	19	vector	vector	NOUN
bracis-28406	99	20	of	of	ADP
bracis-28406	99	21	the	the	DET
bracis-28406	99	22	data	datum	NOUN
bracis-28406	99	23	set	set	VERB
bracis-28406	99	24	,	,	PUNCT
bracis-28406	99	25	i.e.	i.e.	X
bracis-28406	99	26	,	,	PUNCT
bracis-28406	99	27	the	the	DET
bracis-28406	99	28	position	position	NOUN
bracis-28406	99	29	of	of	ADP
bracis-28406	99	30	the	the	DET
bracis-28406	99	31	vector	vector	NOUN
bracis-28406	99	32	that	that	PRON
bracis-28406	99	33	has	have	VERB
bracis-28406	99	34	the	the	DET
bracis-28406	99	35	value	value	NOUN
bracis-28406	99	36	1	1	NUM
bracis-28406	99	37	indicates	indicate	VERB
bracis-28406	99	38	that	that	SCONJ
bracis-28406	99	39	the	the	DET
bracis-28406	99	40	characteristic	characteristic	NOUN
bracis-28406	99	41	corresponding	corresponding	NOUN
bracis-28406	99	42	to	to	ADP
bracis-28406	99	43	that	that	DET
bracis-28406	99	44	position	position	NOUN
bracis-28406	99	45	in	in	ADP
bracis-28406	99	46	the	the	DET
bracis-28406	99	47	feature	feature	NOUN
bracis-28406	99	48	vector	vector	NOUN
bracis-28406	99	49	will	will	AUX
bracis-28406	99	50	be	be	AUX
bracis-28406	99	51	selected	select	VERB
bracis-28406	99	52	to	to	PART
bracis-28406	99	53	compose	compose	VERB
bracis-28406	99	54	the	the	DET
bracis-28406	99	55	new	new	ADJ
bracis-28406	99	56	subset	subset	NOUN
bracis-28406	99	57	.	.	PUNCT
bracis-28406	100	1	on	on	ADP
bracis-28406	100	2	the	the	DET
bracis-28406	100	3	other	other	ADJ
bracis-28406	100	4	hand	hand	NOUN
bracis-28406	100	5	,	,	PUNCT
bracis-28406	100	6	a	a	DET
bracis-28406	100	7	0	0	NUM
bracis-28406	100	8	value	value	NOUN
bracis-28406	100	9	indicates	indicate	VERB
bracis-28406	100	10	the	the	DET
bracis-28406	100	11	feature	feature	NOUN
bracis-28406	100	12	will	will	AUX
bracis-28406	100	13	not	not	PART
bracis-28406	100	14	be	be	AUX
bracis-28406	100	15	selected	select	VERB
bracis-28406	100	16	.	.	PUNCT
bracis-28406	101	1	therefore	therefore	ADV
bracis-28406	101	2	,	,	PUNCT
bracis-28406	101	3	with	with	ADP
bracis-28406	101	4	a	a	DET
bracis-28406	101	5	new	new	ADJ
bracis-28406	101	6	training	training	NOUN
bracis-28406	101	7	and	and	CCONJ
bracis-28406	101	8	validation	validation	NOUN
bracis-28406	101	9	subsets	subset	NOUN
bracis-28406	101	10	in	in	ADP
bracis-28406	101	11	hand	hand	NOUN
bracis-28406	101	12	,	,	PUNCT
bracis-28406	101	13	the	the	DET
bracis-28406	101	14	classifier	classifier	NOUN
bracis-28406	101	15	is	be	AUX
bracis-28406	101	16	trained	train	VERB
bracis-28406	101	17	on	on	ADP
bracis-28406	101	18	the	the	DET
bracis-28406	101	19	new	new	ADJ
bracis-28406	101	20	training	training	NOUN
bracis-28406	101	21	set	set	NOUN
bracis-28406	101	22	and	and	CCONJ
bracis-28406	101	23	classifies	classify	VERB
bracis-28406	101	24	the	the	DET
bracis-28406	101	25	samples	sample	NOUN
bracis-28406	101	26	of	of	ADP
bracis-28406	101	27	the	the	DET
bracis-28406	101	28	new	new	ADJ
bracis-28406	101	29	validation	validation	NOUN
bracis-28406	101	30	set	set	NOUN
bracis-28406	101	31	.	.	PUNCT
bracis-28406	102	1	the	the	DET
bracis-28406	102	2	classifier	classifier	NOUN
bracis-28406	102	3	’s	’s	PART
bracis-28406	102	4	hit	hit	VERB
bracis-28406	102	5	rate	rate	NOUN
bracis-28406	102	6	is	be	AUX
bracis-28406	102	7	a	a	DET
bracis-28406	102	8	fitness	fitness	NOUN
bracis-28406	102	9	value	value	NOUN
bracis-28406	102	10	to	to	PART
bracis-28406	102	11	guide	guide	VERB
bracis-28406	102	12	the	the	DET
bracis-28406	102	13	optimization	optimization	NOUN
bracis-28406	102	14	process	process	NOUN
bracis-28406	102	15	.	.	PUNCT
bracis-28406	103	1	the	the	DET
bracis-28406	103	2	feature	feature	NOUN
bracis-28406	103	3	subset	subset	VERB
bracis-28406	103	4	that	that	PRON
bracis-28406	103	5	achieves	achieve	VERB
bracis-28406	103	6	the	the	DET
bracis-28406	103	7	highest	high	ADJ
bracis-28406	103	8	accuracy	accuracy	NOUN
bracis-28406	103	9	in	in	ADP
bracis-28406	103	10	this	this	DET
bracis-28406	103	11	process	process	NOUN
bracis-28406	103	12	will	will	AUX
bracis-28406	103	13	be	be	AUX
bracis-28406	103	14	stored	store	VERB
bracis-28406	103	15	and	and	CCONJ
bracis-28406	103	16	used	use	VERB
bracis-28406	103	17	later	later	ADV
bracis-28406	103	18	to	to	PART
bracis-28406	103	19	train	train	VERB
bracis-28406	103	20	the	the	DET
bracis-28406	103	21	classifier	classifier	NOUN
bracis-28406	103	22	once	once	ADV
bracis-28406	103	23	again	again	ADV
bracis-28406	103	24	and	and	CCONJ
bracis-28406	103	25	classify	classify	VERB
bracis-28406	103	26	the	the	DET
bracis-28406	103	27	test	test	NOUN
bracis-28406	103	28	subset	subset	VERB
bracis-28406	103	29	to	to	PART
bracis-28406	103	30	determine	determine	VERB
bracis-28406	103	31	the	the	DET
bracis-28406	103	32	real	real	ADJ
bracis-28406	103	33	accuracy	accuracy	NOUN
bracis-28406	103	34	of	of	ADP
bracis-28406	103	35	the	the	DET
bracis-28406	103	36	model	model	NOUN
bracis-28406	103	37	.	.	PUNCT
bracis-28406	104	1	we	we	PRON
bracis-28406	104	2	used	use	VERB
bracis-28406	104	3	naïve	naïve	ADJ
bracis-28406	104	4	bayes	bayes	NOUN
bracis-28406	104	5	classifier	classifier	NOUN
bracis-28406	104	6	in	in	ADP
bracis-28406	104	7	this	this	DET
bracis-28406	104	8	paper	paper	NOUN
bracis-28406	104	9	,	,	PUNCT
bracis-28406	104	10	for	for	SCONJ
bracis-28406	104	11	it	it	PRON
bracis-28406	104	12	is	be	AUX
bracis-28406	104	13	parameterless	parameterless	ADJ
bracis-28406	104	14	and	and	CCONJ
bracis-28406	104	15	fast	fast	VERB
bracis-28406	104	16	for	for	ADP
bracis-28406	104	17	trainingfootnote	trainingfootnote	NOUN
bracis-28406	104	18	2	2	NUM
bracis-28406	104	19	.	.	PUNCT
bracis-28406	105	1	regarding	regard	VERB
bracis-28406	105	2	fso	fso	NOUN
bracis-28406	105	3	running	running	NOUN
bracis-28406	105	4	parameters	parameter	NOUN
bracis-28406	105	5	,	,	PUNCT
bracis-28406	105	6	we	we	PRON
bracis-28406	105	7	used	use	VERB
bracis-28406	105	8	the	the	DET
bracis-28406	105	9	same	same	ADJ
bracis-28406	105	10	recommended	recommend	VERB
bracis-28406	105	11	by	by	ADP
bracis-28406	105	12	azizyan	azizyan	ADJ
bracis-28406	105	13	et	et	PROPN
bracis-28406	105	14	al	al	PROPN
bracis-28406	105	15	.	.	PROPN
bracis-28406	105	16	 	 	SPACE
bracis-28406	106	1	[	[	X
bracis-28406	106	2	3	3	NUM
bracis-28406	106	3	]	]	PUNCT
bracis-28406	106	4	,	,	PUNCT
bracis-28406	106	5	i.e.	i.e.	X
bracis-28406	106	6	,	,	PUNCT
bracis-28406	106	7	\(\beta	\(\beta	NOUN
bracis-28406	106	8	=	=	NOUN
bracis-28406	106	9	0.5\	0.5\	NUM
bracis-28406	106	10	)	)	PUNCT
bracis-28406	106	11	,	,	PUNCT
bracis-28406	106	12	and	and	CCONJ
bracis-28406	106	13	the	the	DET
bracis-28406	106	14	number	number	NOUN
bracis-28406	106	15	of	of	ADP
bracis-28406	106	16	agents	agent	NOUN
bracis-28406	106	17	and	and	CCONJ
bracis-28406	106	18	iterations	iteration	NOUN
bracis-28406	106	19	were	be	AUX
bracis-28406	106	20	set	set	VERB
bracis-28406	106	21	to	to	ADP
bracis-28406	106	22	30	30	NUM
bracis-28406	106	23	and	and	CCONJ
bracis-28406	106	24	60	60	NUM
bracis-28406	106	25	,	,	PUNCT
bracis-28406	106	26	respectively	respectively	ADV
bracis-28406	106	27	.	.	PUNCT
bracis-28406	107	1	once	once	SCONJ
bracis-28406	107	2	metaheuristics	metaheuristic	NOUN
bracis-28406	107	3	are	be	AUX
bracis-28406	107	4	stochastic	stochastic	ADJ
bracis-28406	107	5	processes	process	NOUN
bracis-28406	107	6	,	,	PUNCT
bracis-28406	107	7	we	we	PRON
bracis-28406	107	8	performed	perform	VERB
bracis-28406	107	9	20	20	NUM
bracis-28406	107	10	independent	independent	ADJ
bracis-28406	107	11	runs	run	NOUN
bracis-28406	107	12	to	to	PART
bracis-28406	107	13	allow	allow	VERB
bracis-28406	107	14	the	the	DET
bracis-28406	107	15	calculation	calculation	NOUN
bracis-28406	107	16	of	of	ADP
bracis-28406	107	17	the	the	DET
bracis-28406	107	18	mean	mean	ADJ
bracis-28406	107	19	and	and	CCONJ
bracis-28406	107	20	standard	standard	ADJ
bracis-28406	107	21	deviation	deviation	NOUN
bracis-28406	107	22	.	.	PUNCT
bracis-28406	108	1	besides	besides	SCONJ
bracis-28406	108	2	,	,	PUNCT
bracis-28406	108	3	different	different	ADJ
bracis-28406	108	4	seeds	seed	NOUN
bracis-28406	108	5	were	be	AUX
bracis-28406	108	6	generated	generate	VERB
bracis-28406	108	7	for	for	ADP
bracis-28406	108	8	each	each	DET
bracis-28406	108	9	run	run	NOUN
bracis-28406	108	10	so	so	SCONJ
bracis-28406	108	11	that	that	SCONJ
bracis-28406	108	12	distinct	distinct	ADJ
bracis-28406	108	13	samples	sample	NOUN
bracis-28406	108	14	constituted	constitute	VERB
bracis-28406	108	15	the	the	DET
bracis-28406	108	16	division	division	NOUN
bracis-28406	108	17	of	of	ADP
bracis-28406	108	18	training	training	NOUN
bracis-28406	108	19	,	,	PUNCT
bracis-28406	108	20	validation	validation	NOUN
bracis-28406	108	21	,	,	PUNCT
bracis-28406	108	22	and	and	CCONJ
bracis-28406	108	23	test	test	NOUN
bracis-28406	108	24	subsets	subset	NOUN
bracis-28406	108	25	.	.	PUNCT
bracis-28406	109	1	to	to	PART
bracis-28406	109	2	provide	provide	VERB
bracis-28406	109	3	robust	robust	ADJ
bracis-28406	109	4	analysis	analysis	NOUN
bracis-28406	109	5	,	,	PUNCT
bracis-28406	109	6	we	we	PRON
bracis-28406	109	7	chose	choose	VERB
bracis-28406	109	8	five	five	NUM
bracis-28406	109	9	widely	widely	ADV
bracis-28406	109	10	known	know	VERB
bracis-28406	109	11	bio	bio	NOUN
bracis-28406	109	12	-	-	PUNCT
bracis-28406	109	13	inspired	inspired	ADJ
bracis-28406	109	14	algorithmsfootnote	algorithmsfootnote	NOUN
bracis-28406	109	15	3	3	NUM
bracis-28406	109	16	for	for	ADP
bracis-28406	109	17	comparison	comparison	NOUN
bracis-28406	109	18	purposes	purpose	NOUN
bracis-28406	109	19	with	with	ADP
bracis-28406	109	20	the	the	DET
bracis-28406	109	21	bfso	bfso	NOUN
bracis-28406	109	22	:	:	PUNCT
bracis-28406	109	23	binary	binary	ADJ
bracis-28406	109	24	aquila	aquila	PROPN
bracis-28406	109	25	optimizer	optimizer	NOUN
bracis-28406	109	26	(	(	PUNCT
bracis-28406	109	27	bao	bao	PROPN
bracis-28406	109	28	)	)	PUNCT
bracis-28406	109	29	 	 	SPACE
bracis-28406	110	1	[	[	X
bracis-28406	110	2	11	11	NUM
bracis-28406	110	3	]	]	X
bracis-28406	110	4	;	;	PUNCT
bracis-28406	110	5	binary	binary	ADJ
bracis-28406	110	6	bat	bat	NOUN
bracis-28406	110	7	algorithm	algorithm	NOUN
bracis-28406	110	8	(	(	PUNCT
bracis-28406	110	9	bba	bba	NOUN
bracis-28406	110	10	)	)	PUNCT
bracis-28406	110	11	 	 	SPACE
bracis-28406	111	1	[	[	X
bracis-28406	111	2	14	14	NUM
bracis-28406	111	3	]	]	X
bracis-28406	111	4	;	;	PUNCT
bracis-28406	111	5	binary	binary	ADJ
bracis-28406	111	6	firefly	firefly	NOUN
bracis-28406	111	7	algorithm	algorithm	PROPN
bracis-28406	111	8	(	(	PUNCT
bracis-28406	111	9	bfa	bfa	PROPN
bracis-28406	111	10	)	)	PUNCT
bracis-28406	111	11	 	 	SPACE
bracis-28406	112	1	[	[	X
bracis-28406	112	2	6	6	NUM
bracis-28406	112	3	]	]	PUNCT
bracis-28406	112	4	;	;	PUNCT
bracis-28406	112	5	binary	binary	ADJ
bracis-28406	112	6	flower	flower	NOUN
bracis-28406	112	7	pollination	pollination	NOUN
bracis-28406	112	8	algorithm	algorithm	NOUN
bracis-28406	112	9	(	(	PUNCT
bracis-28406	112	10	bfpa	bfpa	NOUN
bracis-28406	112	11	)	)	PUNCT
bracis-28406	112	12	 	 	SPACE
bracis-28406	113	1	[	[	X
bracis-28406	113	2	16	16	NUM
bracis-28406	113	3	]	]	X
bracis-28406	113	4	;	;	PUNCT
bracis-28406	113	5	and	and	CCONJ
bracis-28406	113	6	binary	binary	ADJ
bracis-28406	113	7	particle	particle	NOUN
bracis-28406	113	8	swarm	swarm	NOUN
bracis-28406	113	9	optimization	optimization	NOUN
bracis-28406	113	10	(	(	PUNCT
bracis-28406	113	11	bpso	bpso	NOUN
bracis-28406	113	12	)	)	PUNCT
bracis-28406	113	13	 	 	SPACE
bracis-28406	114	1	[	[	X
bracis-28406	114	2	9	9	NUM
bracis-28406	114	3	]	]	PUNCT
bracis-28406	114	4	.	.	PUNCT
bracis-28406	115	1	it	it	PRON
bracis-28406	115	2	is	be	AUX
bracis-28406	115	3	worth	worth	ADJ
bracis-28406	115	4	noting	note	VERB
bracis-28406	115	5	that	that	SCONJ
bracis-28406	115	6	the	the	DET
bracis-28406	115	7	values	value	NOUN
bracis-28406	115	8	of	of	ADP
bracis-28406	115	9	the	the	DET
bracis-28406	115	10	hyperparameters	hyperparameter	NOUN
bracis-28406	115	11	of	of	ADP
bracis-28406	115	12	each	each	DET
bracis-28406	115	13	algorithm	algorithm	NOUN
bracis-28406	115	14	are	be	AUX
bracis-28406	115	15	the	the	DET
bracis-28406	115	16	same	same	ADJ
bracis-28406	115	17	proposed	propose	VERB
bracis-28406	115	18	by	by	ADP
bracis-28406	115	19	their	their	PRON
bracis-28406	115	20	respective	respective	ADJ
bracis-28406	115	21	authors	author	NOUN
bracis-28406	115	22	.	.	PUNCT
bracis-28406	116	1	4	4	NUM
bracis-28406	116	2	experimental	experimental	ADJ
bracis-28406	116	3	results	result	NOUN
bracis-28406	116	4	table	table	NOUN
bracis-28406	116	5	 	 	SPACE
bracis-28406	116	6	2	2	NUM
bracis-28406	116	7	presents	present	VERB
bracis-28406	116	8	the	the	DET
bracis-28406	116	9	f1	f1	NOUN
bracis-28406	116	10	-	-	PUNCT
bracis-28406	116	11	score	score	NOUN
bracis-28406	116	12	obtained	obtain	VERB
bracis-28406	116	13	using	use	VERB
bracis-28406	116	14	the	the	DET
bracis-28406	116	15	methodology	methodology	NOUN
bracis-28406	116	16	described	describe	VERB
bracis-28406	116	17	in	in	ADP
bracis-28406	116	18	sect	sect	NOUN
bracis-28406	116	19	.	.	PUNCT
bracis-28406	116	20	 	 	SPACE
bracis-28406	117	1	3	3	NUM
bracis-28406	117	2	with	with	ADP
bracis-28406	117	3	regard	regard	NOUN
bracis-28406	117	4	to	to	ADP
bracis-28406	117	5	the	the	DET
bracis-28406	117	6	final	final	ADJ
bracis-28406	117	7	evaluation	evaluation	NOUN
bracis-28406	117	8	,	,	PUNCT
bracis-28406	117	9	as	as	SCONJ
bracis-28406	117	10	illustrated	illustrate	VERB
bracis-28406	117	11	in	in	ADP
bracis-28406	117	12	fig	fig	NOUN
bracis-28406	117	13	.	.	PUNCT
bracis-28406	117	14	 	 	SPACE
bracis-28406	118	1	1b	1b	NUM
bracis-28406	118	2	.	.	PUNCT
bracis-28406	119	1	the	the	DET
bracis-28406	119	2	values	value	NOUN
bracis-28406	119	3	are	be	AUX
bracis-28406	119	4	the	the	DET
bracis-28406	119	5	mean	mean	ADJ
bracis-28406	119	6	and	and	CCONJ
bracis-28406	119	7	standard	standard	ADJ
bracis-28406	119	8	deviation	deviation	NOUN
bracis-28406	119	9	for	for	ADP
bracis-28406	119	10	each	each	PRON
bracis-28406	119	11	of	of	ADP
bracis-28406	119	12	the	the	DET
bracis-28406	119	13	seventeen	seventeen	NUM
bracis-28406	119	14	benchmark	benchmark	NOUN
bracis-28406	119	15	datasets	dataset	NOUN
bracis-28406	119	16	.	.	PUNCT
bracis-28406	120	1	note	note	VERB
bracis-28406	120	2	that	that	SCONJ
bracis-28406	120	3	the	the	DET
bracis-28406	120	4	values	value	NOUN
bracis-28406	120	5	highlighted	highlight	VERB
bracis-28406	120	6	in	in	ADP
bracis-28406	120	7	bold	bold	ADJ
bracis-28406	120	8	represent	represent	VERB
bracis-28406	120	9	the	the	DET
bracis-28406	120	10	best	good	ADJ
bracis-28406	120	11	results	result	NOUN
bracis-28406	120	12	for	for	ADP
bracis-28406	120	13	each	each	DET
bracis-28406	120	14	dataset	dataset	NOUN
bracis-28406	120	15	.	.	PUNCT
bracis-28406	121	1	bfso	bfso	NOUN
bracis-28406	121	2	achieved	achieve	VERB
bracis-28406	121	3	the	the	DET
bracis-28406	121	4	highest	high	ADJ
bracis-28406	121	5	mean	mean	ADJ
bracis-28406	121	6	values	value	NOUN
bracis-28406	121	7	in	in	ADP
bracis-28406	121	8	twelve	twelve	NUM
bracis-28406	121	9	datasets	dataset	NOUN
bracis-28406	121	10	,	,	PUNCT
bracis-28406	121	11	followed	follow	VERB
bracis-28406	121	12	by	by	ADP
bracis-28406	121	13	bfa	bfa	PROPN
bracis-28406	121	14	,	,	PUNCT
bracis-28406	121	15	which	which	PRON
bracis-28406	121	16	obtained	obtain	VERB
bracis-28406	121	17	the	the	DET
bracis-28406	121	18	highest	high	ADJ
bracis-28406	121	19	mean	mean	ADJ
bracis-28406	121	20	values	value	NOUN
bracis-28406	121	21	in	in	ADP
bracis-28406	121	22	arcene	arcene	NOUN
bracis-28406	121	23	and	and	CCONJ
bracis-28406	121	24	basehock	basehock	NOUN
bracis-28406	121	25	datasets	dataset	NOUN
bracis-28406	121	26	.	.	PUNCT
bracis-28406	122	1	bao	bao	PROPN
bracis-28406	122	2	obtained	obtain	VERB
bracis-28406	122	3	the	the	DET
bracis-28406	122	4	highest	high	ADJ
bracis-28406	122	5	average	average	ADJ
bracis-28406	122	6	value	value	NOUN
bracis-28406	122	7	only	only	ADV
bracis-28406	122	8	in	in	ADP
bracis-28406	122	9	the	the	DET
bracis-28406	122	10	wine	wine	NOUN
bracis-28406	122	11	set	set	NOUN
bracis-28406	122	12	.	.	PUNCT
bracis-28406	123	1	the	the	DET
bracis-28406	123	2	highest	high	ADJ
bracis-28406	123	3	mean	mean	ADJ
bracis-28406	123	4	value	value	NOUN
bracis-28406	123	5	in	in	ADP
bracis-28406	123	6	the	the	DET
bracis-28406	123	7	pcmac	pcmac	NOUN
bracis-28406	123	8	set	set	NOUN
bracis-28406	123	9	was	be	AUX
bracis-28406	123	10	obtained	obtain	VERB
bracis-28406	123	11	in	in	ADP
bracis-28406	123	12	the	the	DET
bracis-28406	123	13	original	original	ADJ
bracis-28406	123	14	set	set	NOUN
bracis-28406	123	15	,	,	PUNCT
bracis-28406	123	16	i.e.	i.e.	X
bracis-28406	123	17	,	,	PUNCT
bracis-28406	123	18	without	without	ADP
bracis-28406	123	19	feature	feature	NOUN
bracis-28406	123	20	selection	selection	NOUN
bracis-28406	123	21	,	,	PUNCT
bracis-28406	123	22	indicated	indicate	VERB
bracis-28406	123	23	in	in	ADP
bracis-28406	123	24	the	the	DET
bracis-28406	123	25	table	table	NOUN
bracis-28406	123	26	using	use	VERB
bracis-28406	123	27	the	the	DET
bracis-28406	123	28	naïve	naïve	ADJ
bracis-28406	123	29	bayes	bayes	NOUN
bracis-28406	123	30	(	(	PUNCT
bracis-28406	123	31	nb	nb	NOUN
bracis-28406	123	32	)	)	PUNCT
bracis-28406	123	33	classifier	classifier	NOUN
bracis-28406	123	34	.	.	PUNCT
bracis-28406	124	1	table	table	NOUN
bracis-28406	124	2	2	2	NUM
bracis-28406	124	3	.	.	PUNCT
bracis-28406	124	4	results	result	NOUN
bracis-28406	124	5	concerning	concern	VERB
bracis-28406	124	6	the	the	DET
bracis-28406	124	7	test	test	NOUN
bracis-28406	124	8	set	set	VERB
bracis-28406	124	9	over	over	ADP
bracis-28406	124	10	all	all	DET
bracis-28406	124	11	datasets.full	datasets.full	NUM
bracis-28406	124	12	size	size	NOUN
bracis-28406	124	13	table	table	NOUN
bracis-28406	124	14	figure	figure	NOUN
bracis-28406	124	15	 	 	SPACE
bracis-28406	124	16	2	2	NUM
bracis-28406	124	17	illustrates	illustrate	VERB
bracis-28406	124	18	the	the	DET
bracis-28406	124	19	average	average	ADJ
bracis-28406	124	20	number	number	NOUN
bracis-28406	124	21	of	of	ADP
bracis-28406	124	22	features	feature	NOUN
bracis-28406	124	23	selected	select	VERB
bracis-28406	124	24	for	for	ADP
bracis-28406	124	25	the	the	DET
bracis-28406	124	26	arcene	arcene	NOUN
bracis-28406	124	27	,	,	PUNCT
bracis-28406	124	28	basehock	basehock	NOUN
bracis-28406	124	29	,	,	PUNCT
bracis-28406	124	30	coil20	coil20	PROPN
bracis-28406	124	31	,	,	PUNCT
bracis-28406	124	32	orl	orl	PROPN
bracis-28406	124	33	,	,	PUNCT
bracis-28406	124	34	segment	segment	NOUN
bracis-28406	124	35	,	,	PUNCT
bracis-28406	124	36	and	and	CCONJ
bracis-28406	124	37	spambase	spambase	PROPN
bracis-28406	124	38	datasets	dataset	NOUN
bracis-28406	124	39	.	.	PUNCT
bracis-28406	125	1	bfso	bfso	AUX
bracis-28406	125	2	selected	select	VERB
bracis-28406	125	3	the	the	DET
bracis-28406	125	4	lowest	low	ADJ
bracis-28406	125	5	number	number	NOUN
bracis-28406	125	6	of	of	ADP
bracis-28406	125	7	features	feature	NOUN
bracis-28406	125	8	in	in	ADP
bracis-28406	125	9	the	the	DET
bracis-28406	125	10	spambase	spambase	NOUN
bracis-28406	125	11	set	set	NOUN
bracis-28406	125	12	compared	compare	VERB
bracis-28406	125	13	to	to	ADP
bracis-28406	125	14	the	the	DET
bracis-28406	125	15	other	other	ADJ
bracis-28406	125	16	bio	bio	ADJ
bracis-28406	125	17	-	-	PUNCT
bracis-28406	125	18	inspired	inspire	VERB
bracis-28406	125	19	algorithms	algorithm	NOUN
bracis-28406	125	20	and	and	CCONJ
bracis-28406	125	21	was	be	AUX
bracis-28406	125	22	the	the	DET
bracis-28406	125	23	second	second	ADV
bracis-28406	125	24	-	-	PUNCT
bracis-28406	125	25	best	good	ADJ
bracis-28406	125	26	technique	technique	NOUN
bracis-28406	125	27	in	in	ADP
bracis-28406	125	28	the	the	DET
bracis-28406	125	29	orl	orl	PROPN
bracis-28406	125	30	and	and	CCONJ
bracis-28406	125	31	coil20	coil20	NOUN
bracis-28406	125	32	datasets	dataset	NOUN
bracis-28406	125	33	,	,	PUNCT
bracis-28406	125	34	second	second	ADJ
bracis-28406	125	35	only	only	ADV
bracis-28406	125	36	to	to	PART
bracis-28406	125	37	bao	bao	VERB
bracis-28406	125	38	.	.	PUNCT
bracis-28406	126	1	furthermore	furthermore	ADV
bracis-28406	126	2	,	,	PUNCT
bracis-28406	126	3	it	it	PRON
bracis-28406	126	4	is	be	AUX
bracis-28406	126	5	worth	worth	ADJ
bracis-28406	126	6	the	the	DET
bracis-28406	126	7	caveat	caveat	NOUN
bracis-28406	126	8	of	of	ADP
bracis-28406	126	9	the	the	DET
bracis-28406	126	10	size	size	NOUN
bracis-28406	126	11	of	of	ADP
bracis-28406	126	12	the	the	DET
bracis-28406	126	13	standard	standard	ADJ
bracis-28406	126	14	deviation	deviation	NOUN
bracis-28406	126	15	of	of	ADP
bracis-28406	126	16	the	the	DET
bracis-28406	126	17	bao	bao	PROPN
bracis-28406	126	18	in	in	ADP
bracis-28406	126	19	these	these	DET
bracis-28406	126	20	datasets	dataset	NOUN
bracis-28406	126	21	.	.	PUNCT
bracis-28406	127	1	in	in	ADP
bracis-28406	127	2	the	the	DET
bracis-28406	127	3	arcene	arcene	NOUN
bracis-28406	127	4	and	and	CCONJ
bracis-28406	127	5	basehock	basehock	NOUN
bracis-28406	127	6	datasets	dataset	NOUN
bracis-28406	127	7	,	,	PUNCT
bracis-28406	127	8	bfso	bfso	NOUN
bracis-28406	127	9	was	be	AUX
bracis-28406	127	10	not	not	PART
bracis-28406	127	11	among	among	ADP
bracis-28406	127	12	the	the	DET
bracis-28406	127	13	best	good	ADJ
bracis-28406	127	14	feature	feature	NOUN
bracis-28406	127	15	selection	selection	NOUN
bracis-28406	127	16	algorithms	algorithm	NOUN
bracis-28406	127	17	.	.	PUNCT
bracis-28406	128	1	fig	fig	NOUN
bracis-28406	128	2	.	.	PUNCT
bracis-28406	129	1	2	2	X
bracis-28406	129	2	.	.	X
bracis-28406	129	3	average	average	ADJ
bracis-28406	129	4	selected	select	VERB
bracis-28406	129	5	features	feature	NOUN
bracis-28406	129	6	considering	consider	VERB
bracis-28406	129	7	each	each	DET
bracis-28406	129	8	metaheuristic	metaheuristic	ADJ
bracis-28406	129	9	algorithm	algorithm	NOUN
bracis-28406	129	10	on	on	ADP
bracis-28406	129	11	:	:	PUNCT
bracis-28406	129	12	(	(	PUNCT
bracis-28406	129	13	a	a	X
bracis-28406	129	14	)	)	PUNCT
bracis-28406	129	15	arcene	arcene	NOUN
bracis-28406	129	16	(	(	PUNCT
bracis-28406	129	17	b	b	NOUN
bracis-28406	129	18	)	)	PUNCT
bracis-28406	129	19	basehock	basehock	NOUN
bracis-28406	129	20	(	(	PUNCT
bracis-28406	129	21	c	c	NOUN
bracis-28406	129	22	)	)	PUNCT
bracis-28406	129	23	coil20	coil20	NOUN
bracis-28406	129	24	(	(	PUNCT
bracis-28406	129	25	d	d	X
bracis-28406	129	26	)	)	PUNCT
bracis-28406	129	27	orl	orl	PROPN
bracis-28406	129	28	(	(	PUNCT
bracis-28406	129	29	e	e	NOUN
bracis-28406	129	30	)	)	PUNCT
bracis-28406	129	31	segment	segment	NOUN
bracis-28406	129	32	datasets	dataset	NOUN
bracis-28406	129	33	.	.	PUNCT
bracis-28406	130	1	(	(	PUNCT
bracis-28406	130	2	f	f	X
bracis-28406	130	3	)	)	PUNCT
bracis-28406	130	4	spambase	spambase	NOUN
bracis-28406	130	5	datasets	dataset	NOUN
bracis-28406	130	6	.	.	PUNCT
bracis-28406	131	1	full	full	ADJ
bracis-28406	131	2	size	size	NOUN
bracis-28406	131	3	image	image	NOUN
bracis-28406	131	4	moreover	moreover	ADV
bracis-28406	131	5	,	,	PUNCT
bracis-28406	131	6	we	we	PRON
bracis-28406	131	7	performed	perform	VERB
bracis-28406	131	8	the	the	DET
bracis-28406	131	9	friedman	friedman	PROPN
bracis-28406	131	10	test	test	NOUN
bracis-28406	131	11	 	 	SPACE
bracis-28406	132	1	[	[	X
bracis-28406	132	2	7	7	NUM
bracis-28406	132	3	,	,	PUNCT
bracis-28406	132	4	8	8	NUM
bracis-28406	132	5	]	]	PUNCT
bracis-28406	132	6	with	with	ADP
bracis-28406	132	7	a	a	DET
bracis-28406	132	8	significance	significance	NOUN
bracis-28406	132	9	of	of	ADP
bracis-28406	132	10	0.05	0.05	NUM
bracis-28406	132	11	(	(	PUNCT
bracis-28406	132	12	\(5\%\	\(5\%\	ADJ
bracis-28406	132	13	)	)	PUNCT
bracis-28406	132	14	)	)	PUNCT
bracis-28406	132	15	to	to	PART
bracis-28406	132	16	assess	assess	VERB
bracis-28406	132	17	whether	whether	SCONJ
bracis-28406	132	18	the	the	DET
bracis-28406	132	19	average	average	ADJ
bracis-28406	132	20	f1	f1	NOUN
bracis-28406	132	21	-	-	PUNCT
bracis-28406	132	22	score	score	NOUN
bracis-28406	132	23	obtained	obtain	VERB
bracis-28406	132	24	using	use	VERB
bracis-28406	132	25	each	each	DET
bracis-28406	132	26	bio	bio	ADJ
bracis-28406	132	27	-	-	PUNCT
bracis-28406	132	28	inspired	inspire	VERB
bracis-28406	132	29	algorithm	algorithm	NOUN
bracis-28406	132	30	is	be	AUX
bracis-28406	132	31	similar	similar	ADJ
bracis-28406	132	32	,	,	PUNCT
bracis-28406	132	33	i.e.	i.e.	X
bracis-28406	132	34	,	,	PUNCT
bracis-28406	132	35	null	null	ADJ
bracis-28406	132	36	hypothesis	hypothesis	NOUN
bracis-28406	132	37	\(h_0\	\(h_0\	PROPN
bracis-28406	132	38	)	)	PUNCT
bracis-28406	132	39	for	for	ADP
bracis-28406	132	40	this	this	DET
bracis-28406	132	41	test	test	NOUN
bracis-28406	132	42	.	.	PUNCT
bracis-28406	133	1	then	then	ADV
bracis-28406	133	2	we	we	PRON
bracis-28406	133	3	employed	employ	VERB
bracis-28406	133	4	the	the	DET
bracis-28406	133	5	nemenyi	nemenyi	NOUN
bracis-28406	133	6	post	post	ADJ
bracis-28406	133	7	-	-	ADJ
bracis-28406	133	8	hoc	hoc	ADJ
bracis-28406	133	9	test	test	NOUN
bracis-28406	133	10	 	 	SPACE
bracis-28406	134	1	[	[	X
bracis-28406	134	2	15	15	NUM
bracis-28406	134	3	]	]	PUNCT
bracis-28406	134	4	.	.	PUNCT
bracis-28406	135	1	figure	figure	NOUN
bracis-28406	135	2	 	 	SPACE
bracis-28406	135	3	3c	3c	PROPN
bracis-28406	135	4	illustrates	illustrate	VERB
bracis-28406	135	5	the	the	DET
bracis-28406	135	6	test	test	NOUN
bracis-28406	135	7	performed	perform	VERB
bracis-28406	135	8	for	for	ADP
bracis-28406	135	9	the	the	DET
bracis-28406	135	10	coil20	coil20	NOUN
bracis-28406	135	11	dataset	dataset	NOUN
bracis-28406	135	12	,	,	PUNCT
bracis-28406	135	13	where	where	SCONJ
bracis-28406	135	14	it	it	PRON
bracis-28406	135	15	can	can	AUX
bracis-28406	135	16	be	be	AUX
bracis-28406	135	17	seen	see	VERB
bracis-28406	135	18	that	that	SCONJ
bracis-28406	135	19	bfso	bfso	AUX
bracis-28406	135	20	performed	perform	VERB
bracis-28406	135	21	similarly	similarly	ADV
bracis-28406	135	22	to	to	ADP
bracis-28406	135	23	bfpa	bfpa	NOUN
bracis-28406	135	24	.	.	PUNCT
bracis-28406	136	1	in	in	ADP
bracis-28406	136	2	the	the	DET
bracis-28406	136	3	segment	segment	NOUN
bracis-28406	136	4	set	set	NOUN
bracis-28406	136	5	,	,	PUNCT
bracis-28406	136	6	illustrated	illustrate	VERB
bracis-28406	136	7	in	in	ADP
bracis-28406	136	8	fig	fig	NOUN
bracis-28406	136	9	.	.	PUNCT
bracis-28406	136	10	 	 	SPACE
bracis-28406	137	1	3e	3e	NOUN
bracis-28406	137	2	,	,	PUNCT
bracis-28406	137	3	we	we	PRON
bracis-28406	137	4	notice	notice	VERB
bracis-28406	137	5	the	the	DET
bracis-28406	137	6	similarity	similarity	NOUN
bracis-28406	137	7	in	in	ADP
bracis-28406	137	8	the	the	DET
bracis-28406	137	9	performance	performance	NOUN
bracis-28406	137	10	of	of	ADP
bracis-28406	137	11	bfso	bfso	NOUN
bracis-28406	137	12	with	with	ADP
bracis-28406	137	13	bfpa	bfpa	NOUN
bracis-28406	137	14	and	and	CCONJ
bracis-28406	137	15	bao	bao	PROPN
bracis-28406	137	16	.	.	PUNCT
bracis-28406	138	1	finally	finally	ADV
bracis-28406	138	2	,	,	PUNCT
bracis-28406	138	3	in	in	ADP
bracis-28406	138	4	the	the	DET
bracis-28406	138	5	spambase	spambase	NOUN
bracis-28406	138	6	set	set	NOUN
bracis-28406	138	7	,	,	PUNCT
bracis-28406	138	8	illustrated	illustrate	VERB
bracis-28406	138	9	in	in	ADP
bracis-28406	138	10	fig	fig	NOUN
bracis-28406	138	11	.	.	PUNCT
bracis-28406	138	12	 	 	SPACE
bracis-28406	138	13	3f	3f	PROPN
bracis-28406	138	14	,	,	PUNCT
bracis-28406	138	15	note	note	VERB
bracis-28406	138	16	the	the	DET
bracis-28406	138	17	similarity	similarity	NOUN
bracis-28406	138	18	between	between	ADP
bracis-28406	138	19	bfso	bfso	PROPN
bracis-28406	138	20	,	,	PUNCT
bracis-28406	138	21	bfpa	bfpa	NOUN
bracis-28406	138	22	,	,	PUNCT
bracis-28406	138	23	bao	bao	PROPN
bracis-28406	138	24	,	,	PUNCT
bracis-28406	138	25	and	and	CCONJ
bracis-28406	138	26	bpso	bpso	NOUN
bracis-28406	138	27	.	.	PUNCT
bracis-28406	139	1	fig	fig	NOUN
bracis-28406	139	2	.	.	PUNCT
bracis-28406	140	1	3	3	X
bracis-28406	140	2	.	.	X
bracis-28406	140	3	nemenyi	nemenyi	PROPN
bracis-28406	140	4	test	test	NOUN
bracis-28406	140	5	on	on	ADP
bracis-28406	140	6	:	:	PUNCT
bracis-28406	140	7	(	(	PUNCT
bracis-28406	140	8	a	a	X
bracis-28406	140	9	)	)	PUNCT
bracis-28406	140	10	arcene	arcene	NOUN
bracis-28406	140	11	(	(	PUNCT
bracis-28406	140	12	b	b	NOUN
bracis-28406	140	13	)	)	PUNCT
bracis-28406	140	14	basehock	basehock	NOUN
bracis-28406	140	15	(	(	PUNCT
bracis-28406	140	16	c	c	NOUN
bracis-28406	140	17	)	)	PUNCT
bracis-28406	140	18	coil20	coil20	NOUN
bracis-28406	140	19	(	(	PUNCT
bracis-28406	140	20	d	d	X
bracis-28406	140	21	)	)	PUNCT
bracis-28406	140	22	orl	orl	PROPN
bracis-28406	140	23	(	(	PUNCT
bracis-28406	140	24	e	e	NOUN
bracis-28406	140	25	)	)	PUNCT
bracis-28406	140	26	segment	segment	NOUN
bracis-28406	140	27	(	(	PUNCT
bracis-28406	140	28	f	f	X
bracis-28406	140	29	)	)	PUNCT
bracis-28406	140	30	spambase	spambase	NOUN
bracis-28406	140	31	datasets	dataset	NOUN
bracis-28406	140	32	.	.	PUNCT
bracis-28406	141	1	full	full	ADJ
bracis-28406	141	2	size	size	NOUN
bracis-28406	141	3	image	image	NOUN
bracis-28406	141	4	additionally	additionally	ADV
bracis-28406	141	5	,	,	PUNCT
bracis-28406	141	6	the	the	DET
bracis-28406	141	7	wilcoxon	wilcoxon	ADJ
bracis-28406	141	8	signed	sign	VERB
bracis-28406	141	9	-	-	PUNCT
bracis-28406	141	10	rank	rank	NOUN
bracis-28406	141	11	test	test	NOUN
bracis-28406	141	12	 	 	SPACE
bracis-28406	142	1	[	[	X
bracis-28406	142	2	17	17	NUM
bracis-28406	142	3	]	]	PUNCT
bracis-28406	142	4	with	with	ADP
bracis-28406	142	5	a	a	DET
bracis-28406	142	6	significance	significance	NOUN
bracis-28406	142	7	of	of	ADP
bracis-28406	142	8	0.05	0.05	NUM
bracis-28406	142	9	(	(	PUNCT
bracis-28406	142	10	\(5\%\	\(5\%\	ADJ
bracis-28406	142	11	)	)	PUNCT
bracis-28406	142	12	)	)	PUNCT
bracis-28406	142	13	was	be	AUX
bracis-28406	142	14	performed	perform	VERB
bracis-28406	142	15	to	to	PART
bracis-28406	142	16	validate	validate	VERB
bracis-28406	142	17	the	the	DET
bracis-28406	142	18	data	datum	NOUN
bracis-28406	142	19	obtained	obtain	VERB
bracis-28406	142	20	more	more	ADV
bracis-28406	142	21	robustly	robustly	ADV
bracis-28406	142	22	.	.	PUNCT
bracis-28406	143	1	table	table	NOUN
bracis-28406	143	2	 	 	SPACE
bracis-28406	143	3	3	3	NUM
bracis-28406	143	4	presents	present	VERB
bracis-28406	143	5	the	the	DET
bracis-28406	143	6	test	test	NOUN
bracis-28406	143	7	result	result	NOUN
bracis-28406	143	8	considering	consider	VERB
bracis-28406	143	9	f1	f1	NOUN
bracis-28406	143	10	-	-	PUNCT
bracis-28406	143	11	score	score	NOUN
bracis-28406	143	12	metric	metric	NOUN
bracis-28406	143	13	obtained	obtain	VERB
bracis-28406	143	14	during	during	ADP
bracis-28406	143	15	the	the	DET
bracis-28406	143	16	20	20	NUM
bracis-28406	143	17	independent	independent	ADJ
bracis-28406	143	18	runs	run	NOUN
bracis-28406	143	19	.	.	PUNCT
bracis-28406	144	1	the	the	DET
bracis-28406	144	2	symbol	symbol	NOUN
bracis-28406	144	3	\(=\	\(=\	PUNCT
bracis-28406	144	4	)	)	PUNCT
bracis-28406	144	5	indicates	indicate	VERB
bracis-28406	144	6	that	that	SCONJ
bracis-28406	144	7	the	the	DET
bracis-28406	144	8	result	result	NOUN
bracis-28406	144	9	obtained	obtain	VERB
bracis-28406	144	10	after	after	ADP
bracis-28406	144	11	feature	feature	NOUN
bracis-28406	144	12	selection	selection	NOUN
bracis-28406	144	13	using	use	VERB
bracis-28406	144	14	the	the	DET
bracis-28406	144	15	bio	bio	NOUN
bracis-28406	144	16	-	-	PUNCT
bracis-28406	144	17	inspired	inspire	VERB
bracis-28406	144	18	algorithms	algorithm	NOUN
bracis-28406	144	19	performed	perform	VERB
bracis-28406	144	20	statistically	statistically	ADV
bracis-28406	144	21	similar	similar	ADJ
bracis-28406	144	22	to	to	ADP
bracis-28406	144	23	that	that	PRON
bracis-28406	144	24	obtained	obtain	VERB
bracis-28406	144	25	using	use	VERB
bracis-28406	144	26	the	the	DET
bracis-28406	144	27	original	original	ADJ
bracis-28406	144	28	dataset	dataset	NOUN
bracis-28406	144	29	,	,	PUNCT
bracis-28406	144	30	i.e.	i.e.	X
bracis-28406	144	31	,	,	PUNCT
bracis-28406	144	32	we	we	PRON
bracis-28406	144	33	accept	accept	VERB
bracis-28406	144	34	the	the	DET
bracis-28406	144	35	null	null	ADJ
bracis-28406	144	36	hypothesis	hypothesis	NOUN
bracis-28406	144	37	\(h_0\	\(h_0\	PROPN
bracis-28406	144	38	)	)	PUNCT
bracis-28406	144	39	.	.	PUNCT
bracis-28406	145	1	in	in	ADP
bracis-28406	145	2	contrast	contrast	NOUN
bracis-28406	145	3	,	,	PUNCT
bracis-28406	145	4	the	the	DET
bracis-28406	145	5	symbol	symbol	NOUN
bracis-28406	145	6	\(\ne	\(\ne	PROPN
bracis-28406	145	7	\	\	PROPN
bracis-28406	145	8	)	)	PUNCT
bracis-28406	145	9	indicates	indicate	VERB
bracis-28406	145	10	that	that	SCONJ
bracis-28406	145	11	the	the	DET
bracis-28406	145	12	results	result	NOUN
bracis-28406	145	13	were	be	AUX
bracis-28406	145	14	statistically	statistically	ADV
bracis-28406	145	15	different	different	ADJ
bracis-28406	145	16	,	,	PUNCT
bracis-28406	145	17	i.e.	i.e.	X
bracis-28406	145	18	,	,	PUNCT
bracis-28406	145	19	we	we	PRON
bracis-28406	145	20	rejected	reject	VERB
bracis-28406	145	21	the	the	DET
bracis-28406	145	22	null	null	ADJ
bracis-28406	145	23	hypothesis	hypothesis	NOUN
bracis-28406	145	24	.	.	PUNCT
bracis-28406	146	1	one	one	PRON
bracis-28406	146	2	may	may	AUX
bracis-28406	146	3	observe	observe	VERB
bracis-28406	146	4	that	that	SCONJ
bracis-28406	146	5	bfso	bfso	NOUN
bracis-28406	146	6	performed	perform	VERB
bracis-28406	146	7	statistically	statistically	ADV
bracis-28406	146	8	similar	similar	ADJ
bracis-28406	146	9	to	to	ADP
bracis-28406	146	10	the	the	DET
bracis-28406	146	11	nb	nb	NOUN
bracis-28406	146	12	only	only	ADV
bracis-28406	146	13	in	in	ADP
bracis-28406	146	14	the	the	DET
bracis-28406	146	15	caltech101	caltech101	PROPN
bracis-28406	146	16	set	set	NOUN
bracis-28406	146	17	.	.	PUNCT
bracis-28406	147	1	based	base	VERB
bracis-28406	147	2	on	on	ADP
bracis-28406	147	3	the	the	DET
bracis-28406	147	4	bfso	bfso	NOUN
bracis-28406	147	5	results	result	NOUN
bracis-28406	147	6	shown	show	VERB
bracis-28406	147	7	in	in	ADP
bracis-28406	147	8	table	table	NOUN
bracis-28406	147	9	 	 	SPACE
bracis-28406	147	10	2	2	NUM
bracis-28406	147	11	together	together	ADV
bracis-28406	147	12	with	with	ADP
bracis-28406	147	13	the	the	DET
bracis-28406	147	14	wilcoxon	wilcoxon	PROPN
bracis-28406	147	15	test	test	NOUN
bracis-28406	147	16	obtained	obtain	VERB
bracis-28406	147	17	,	,	PUNCT
bracis-28406	147	18	bfso	bfso	NOUN
bracis-28406	147	19	obtained	obtain	VERB
bracis-28406	147	20	the	the	DET
bracis-28406	147	21	best	good	ADJ
bracis-28406	147	22	result	result	NOUN
bracis-28406	147	23	by	by	ADP
bracis-28406	147	24	significantly	significantly	ADV
bracis-28406	147	25	increasing	increase	VERB
bracis-28406	147	26	the	the	DET
bracis-28406	147	27	classifier	classifier	NOUN
bracis-28406	147	28	’s	’s	PART
bracis-28406	147	29	hit	hit	VERB
bracis-28406	147	30	rate	rate	NOUN
bracis-28406	147	31	when	when	SCONJ
bracis-28406	147	32	removing	remove	VERB
bracis-28406	147	33	degrading	degrade	VERB
bracis-28406	147	34	features	feature	NOUN
bracis-28406	147	35	.	.	PUNCT
bracis-28406	148	1	table	table	NOUN
bracis-28406	148	2	3	3	NUM
bracis-28406	148	3	.	.	PUNCT
bracis-28406	148	4	results	result	NOUN
bracis-28406	148	5	concerning	concern	VERB
bracis-28406	148	6	the	the	DET
bracis-28406	148	7	wilcoxon	wilcoxon	ADJ
bracis-28406	148	8	signed	sign	VERB
bracis-28406	148	9	-	-	PUNCT
bracis-28406	148	10	rank	rank	NOUN
bracis-28406	148	11	test	test	NOUN
bracis-28406	148	12	set	set	VERB
bracis-28406	148	13	over	over	ADP
bracis-28406	148	14	all	all	DET
bracis-28406	148	15	datasets.full	datasets.full	NUM
bracis-28406	148	16	size	size	NOUN
bracis-28406	148	17	table	table	NOUN
bracis-28406	148	18	following	following	NOUN
bracis-28406	149	1	,	,	PUNCT
bracis-28406	149	2	we	we	PRON
bracis-28406	149	3	tested	test	VERB
bracis-28406	149	4	the	the	DET
bracis-28406	149	5	performance	performance	NOUN
bracis-28406	149	6	of	of	ADP
bracis-28406	149	7	bio	bio	NOUN
bracis-28406	149	8	-	-	PUNCT
bracis-28406	149	9	inspired	inspire	VERB
bracis-28406	149	10	algorithms	algorithm	NOUN
bracis-28406	149	11	in	in	ADP
bracis-28406	149	12	dissolved	dissolved	ADJ
bracis-28406	149	13	gas	gas	NOUN
bracis-28406	149	14	analysis	analysis	NOUN
bracis-28406	149	15	(	(	PUNCT
bracis-28406	149	16	dga	dga	NOUN
bracis-28406	149	17	)	)	PUNCT
bracis-28406	149	18	datasets	dataset	NOUN
bracis-28406	149	19	for	for	ADP
bracis-28406	149	20	the	the	DET
bracis-28406	149	21	task	task	NOUN
bracis-28406	149	22	of	of	ADP
bracis-28406	149	23	gas	gas	NOUN
bracis-28406	149	24	concentration	concentration	NOUN
bracis-28406	149	25	selection	selection	NOUN
bracis-28406	149	26	for	for	ADP
bracis-28406	149	27	fault	fault	NOUN
bracis-28406	149	28	identification	identification	NOUN
bracis-28406	149	29	in	in	ADP
bracis-28406	149	30	power	power	NOUN
bracis-28406	149	31	transformers	transformer	NOUN
bracis-28406	149	32	.	.	PUNCT
bracis-28406	150	1	table	table	NOUN
bracis-28406	150	2	 	 	SPACE
bracis-28406	150	3	4	4	NUM
bracis-28406	150	4	presents	present	VERB
bracis-28406	150	5	the	the	DET
bracis-28406	150	6	mean	mean	ADJ
bracis-28406	150	7	values	value	NOUN
bracis-28406	150	8	and	and	CCONJ
bracis-28406	150	9	the	the	DET
bracis-28406	150	10	standard	standard	ADJ
bracis-28406	150	11	deviation	deviation	NOUN
bracis-28406	150	12	for	for	ADP
bracis-28406	150	13	each	each	PRON
bracis-28406	150	14	of	of	ADP
bracis-28406	150	15	the	the	DET
bracis-28406	150	16	six	six	NUM
bracis-28406	150	17	datasets	dataset	NOUN
bracis-28406	150	18	.	.	PUNCT
bracis-28406	151	1	also	also	ADV
bracis-28406	151	2	,	,	PUNCT
bracis-28406	151	3	note	note	VERB
bracis-28406	151	4	that	that	SCONJ
bracis-28406	151	5	the	the	DET
bracis-28406	151	6	top	top	ADJ
bracis-28406	151	7	performers	performer	NOUN
bracis-28406	151	8	are	be	AUX
bracis-28406	151	9	highlighted	highlight	VERB
bracis-28406	151	10	in	in	ADP
bracis-28406	151	11	bold	bold	ADJ
bracis-28406	151	12	.	.	PUNCT
bracis-28406	152	1	nb	nb	PROPN
bracis-28406	152	2	obtained	obtain	VERB
bracis-28406	152	3	the	the	DET
bracis-28406	152	4	highest	high	ADJ
bracis-28406	152	5	average	average	ADJ
bracis-28406	152	6	values	value	NOUN
bracis-28406	152	7	in	in	ADP
bracis-28406	152	8	the	the	DET
bracis-28406	152	9	datasets	dataset	NOUN
bracis-28406	152	10	1069_5gt	1069_5gt	NUM
bracis-28406	152	11	,	,	PUNCT
bracis-28406	152	12	1069_7gt	1069_7gt	NUM
bracis-28406	152	13	,	,	PUNCT
bracis-28406	152	14	1143_5gte	1143_5gte	NUM
bracis-28406	152	15	,	,	PUNCT
bracis-28406	152	16	and	and	CCONJ
bracis-28406	152	17	1143_7gte	1143_7gte	PROPN
bracis-28406	152	18	.	.	PROPN
bracis-28406	152	19	bba	bba	PROPN
bracis-28406	152	20	and	and	CCONJ
bracis-28406	152	21	bfa	bfa	PROPN
bracis-28406	152	22	obtained	obtain	VERB
bracis-28406	152	23	the	the	DET
bracis-28406	152	24	highest	high	ADJ
bracis-28406	152	25	mean	mean	ADJ
bracis-28406	152	26	values	value	NOUN
bracis-28406	152	27	in	in	ADP
bracis-28406	152	28	the	the	DET
bracis-28406	152	29	1086_5ge	1086_5ge	NUM
bracis-28406	152	30	and	and	CCONJ
bracis-28406	152	31	1086_7ge	1086_7ge	NUM
bracis-28406	152	32	datasets	dataset	NOUN
bracis-28406	152	33	,	,	PUNCT
bracis-28406	152	34	respectively	respectively	ADV
bracis-28406	152	35	.	.	PUNCT
bracis-28406	153	1	figure	figure	NOUN
bracis-28406	153	2	 	 	SPACE
bracis-28406	153	3	4	4	NUM
bracis-28406	153	4	illustrates	illustrate	VERB
bracis-28406	153	5	the	the	DET
bracis-28406	153	6	mean	mean	NOUN
bracis-28406	153	7	of	of	ADP
bracis-28406	153	8	the	the	DET
bracis-28406	153	9	selected	select	VERB
bracis-28406	153	10	features	feature	NOUN
bracis-28406	153	11	for	for	ADP
bracis-28406	153	12	the	the	DET
bracis-28406	153	13	datasets	dataset	NOUN
bracis-28406	153	14	1069_5gt	1069_5gt	NUM
bracis-28406	153	15	,	,	PUNCT
bracis-28406	153	16	1069_7gt	1069_7gt	NUM
bracis-28406	153	17	,	,	PUNCT
bracis-28406	153	18	1086_5ge	1086_5ge	NUM
bracis-28406	153	19	,	,	PUNCT
bracis-28406	153	20	1086_7	1086_7	NOUN
bracis-28406	153	21	g	g	NOUN
bracis-28406	153	22	,	,	PUNCT
bracis-28406	153	23	and	and	CCONJ
bracis-28406	153	24	1143_5gte	1143_5gte	NUM
bracis-28406	153	25	,	,	PUNCT
bracis-28406	153	26	and	and	CCONJ
bracis-28406	153	27	1143_7gte	1143_7gte	NUM
bracis-28406	153	28	.	.	PUNCT
bracis-28406	154	1	it	it	PRON
bracis-28406	154	2	is	be	AUX
bracis-28406	154	3	important	important	ADJ
bracis-28406	154	4	to	to	PART
bracis-28406	154	5	note	note	VERB
bracis-28406	154	6	that	that	SCONJ
bracis-28406	154	7	the	the	DET
bracis-28406	154	8	bio	bio	NOUN
bracis-28406	154	9	-	-	PUNCT
bracis-28406	154	10	inspired	inspire	VERB
bracis-28406	154	11	algorithms	algorithm	NOUN
bracis-28406	154	12	selected	select	VERB
bracis-28406	154	13	,	,	PUNCT
bracis-28406	154	14	on	on	ADP
bracis-28406	154	15	average	average	ADJ
bracis-28406	154	16	,	,	PUNCT
bracis-28406	154	17	half	half	NOUN
bracis-28406	154	18	of	of	ADP
bracis-28406	154	19	the	the	DET
bracis-28406	154	20	features	feature	NOUN
bracis-28406	154	21	of	of	ADP
bracis-28406	154	22	the	the	DET
bracis-28406	154	23	original	original	ADJ
bracis-28406	154	24	set	set	NOUN
bracis-28406	154	25	,	,	PUNCT
bracis-28406	154	26	i.e.	i.e.	X
bracis-28406	154	27	,	,	PUNCT
bracis-28406	154	28	even	even	ADV
bracis-28406	154	29	if	if	SCONJ
bracis-28406	154	30	there	there	PRON
bracis-28406	154	31	is	be	VERB
bracis-28406	154	32	a	a	DET
bracis-28406	154	33	little	little	ADJ
bracis-28406	154	34	loss	loss	NOUN
bracis-28406	154	35	in	in	ADP
bracis-28406	154	36	the	the	DET
bracis-28406	154	37	hit	hit	NOUN
bracis-28406	154	38	rate	rate	NOUN
bracis-28406	154	39	,	,	PUNCT
bracis-28406	154	40	the	the	DET
bracis-28406	154	41	computational	computational	ADJ
bracis-28406	154	42	cost	cost	NOUN
bracis-28406	154	43	for	for	ADP
bracis-28406	154	44	training	training	NOUN
bracis-28406	154	45	can	can	AUX
bracis-28406	154	46	compensate	compensate	VERB
bracis-28406	154	47	in	in	ADP
bracis-28406	154	48	these	these	DET
bracis-28406	154	49	cases	case	NOUN
bracis-28406	154	50	,	,	PUNCT
bracis-28406	154	51	as	as	ADV
bracis-28406	154	52	well	well	ADV
bracis-28406	154	53	as	as	ADP
bracis-28406	154	54	the	the	DET
bracis-28406	154	55	cost	cost	NOUN
bracis-28406	154	56	for	for	ADP
bracis-28406	154	57	feature	feature	NOUN
bracis-28406	154	58	extraction	extraction	NOUN
bracis-28406	154	59	.	.	PUNCT
bracis-28406	155	1	fig	fig	NOUN
bracis-28406	155	2	.	.	PUNCT
bracis-28406	156	1	4	4	X
bracis-28406	156	2	.	.	X
bracis-28406	156	3	average	average	ADJ
bracis-28406	156	4	selected	select	VERB
bracis-28406	156	5	features	feature	NOUN
bracis-28406	156	6	considering	consider	VERB
bracis-28406	156	7	each	each	DET
bracis-28406	156	8	metaheuristic	metaheuristic	ADJ
bracis-28406	156	9	algorithm	algorithm	NOUN
bracis-28406	156	10	on	on	ADP
bracis-28406	156	11	:	:	PUNCT
bracis-28406	156	12	(	(	PUNCT
bracis-28406	156	13	a	a	X
bracis-28406	156	14	)	)	PUNCT
bracis-28406	156	15	1069_5gt	1069_5gt	NUM
bracis-28406	156	16	(	(	PUNCT
bracis-28406	156	17	b	b	NOUN
bracis-28406	156	18	)	)	PUNCT
bracis-28406	156	19	1069_7gt	1069_7gt	NUM
bracis-28406	156	20	(	(	PUNCT
bracis-28406	156	21	c	c	X
bracis-28406	156	22	)	)	PUNCT
bracis-28406	156	23	1086_5ge	1086_5ge	NUM
bracis-28406	156	24	(	(	PUNCT
bracis-28406	156	25	d	d	NOUN
bracis-28406	156	26	)	)	PUNCT
bracis-28406	156	27	1086_7ge	1086_7ge	NUM
bracis-28406	156	28	(	(	PUNCT
bracis-28406	156	29	e	e	NOUN
bracis-28406	156	30	)	)	PUNCT
bracis-28406	156	31	1143_5gte	1143_5gte	PROPN
bracis-28406	156	32	(	(	PUNCT
bracis-28406	156	33	f	f	X
bracis-28406	156	34	)	)	PUNCT
bracis-28406	156	35	1143_7gte	1143_7gte	NUM
bracis-28406	156	36	datasets	dataset	NOUN
bracis-28406	156	37	.	.	PUNCT
bracis-28406	157	1	full	full	ADJ
bracis-28406	157	2	size	size	NOUN
bracis-28406	157	3	image	image	NOUN
bracis-28406	157	4	table	table	NOUN
bracis-28406	157	5	 	 	SPACE
bracis-28406	157	6	5	5	NUM
bracis-28406	157	7	present	present	VERB
bracis-28406	157	8	the	the	DET
bracis-28406	157	9	wilcoxon	wilcoxon	ADJ
bracis-28406	157	10	signed	sign	VERB
bracis-28406	157	11	-	-	PUNCT
bracis-28406	157	12	rank	rank	NOUN
bracis-28406	157	13	test	test	NOUN
bracis-28406	157	14	on	on	ADP
bracis-28406	157	15	dga	dga	NOUN
bracis-28406	157	16	datasets	dataset	NOUN
bracis-28406	157	17	.	.	PUNCT
bracis-28406	158	1	all	all	DET
bracis-28406	158	2	bio	bio	ADJ
bracis-28406	158	3	-	-	PUNCT
bracis-28406	158	4	inspired	inspire	VERB
bracis-28406	158	5	algorithms	algorithm	NOUN
bracis-28406	158	6	performed	perform	VERB
bracis-28406	158	7	similarly	similarly	ADV
bracis-28406	158	8	to	to	ADP
bracis-28406	158	9	nb	nb	PROPN
bracis-28406	158	10	statistically	statistically	ADV
bracis-28406	158	11	except	except	SCONJ
bracis-28406	158	12	in	in	ADP
bracis-28406	158	13	the	the	DET
bracis-28406	158	14	1143_5gte	1143_5gte	NUM
bracis-28406	158	15	set	set	NOUN
bracis-28406	158	16	and	and	CCONJ
bracis-28406	158	17	the	the	DET
bracis-28406	158	18	bpso	bpso	NOUN
bracis-28406	158	19	in	in	ADP
bracis-28406	158	20	the	the	DET
bracis-28406	158	21	1143_7gte	1143_7gte	PROPN
bracis-28406	158	22	set	set	NOUN
bracis-28406	158	23	.	.	PUNCT
bracis-28406	159	1	the	the	DET
bracis-28406	159	2	difference	difference	NOUN
bracis-28406	159	3	in	in	ADP
bracis-28406	159	4	the	the	DET
bracis-28406	159	5	hit	hit	NOUN
bracis-28406	159	6	rate	rate	NOUN
bracis-28406	159	7	obtained	obtain	VERB
bracis-28406	159	8	by	by	ADP
bracis-28406	159	9	the	the	DET
bracis-28406	159	10	nb	nb	NOUN
bracis-28406	159	11	to	to	ADP
bracis-28406	159	12	the	the	DET
bracis-28406	159	13	bio	bio	NOUN
bracis-28406	159	14	-	-	PUNCT
bracis-28406	159	15	inspired	inspire	VERB
bracis-28406	159	16	algorithms	algorithm	NOUN
bracis-28406	159	17	was	be	AUX
bracis-28406	159	18	insignificant	insignificant	ADJ
bracis-28406	159	19	,	,	PUNCT
bracis-28406	159	20	which	which	PRON
bracis-28406	159	21	further	far	ADV
bracis-28406	159	22	emphasizes	emphasize	VERB
bracis-28406	159	23	the	the	DET
bracis-28406	159	24	advantage	advantage	NOUN
bracis-28406	159	25	of	of	ADP
bracis-28406	159	26	training	training	NOUN
bracis-28406	159	27	in	in	ADP
bracis-28406	159	28	reduced	reduce	VERB
bracis-28406	159	29	datasets	dataset	NOUN
bracis-28406	159	30	.	.	PUNCT
bracis-28406	160	1	table	table	NOUN
bracis-28406	160	2	4	4	NUM
bracis-28406	160	3	.	.	PUNCT
bracis-28406	160	4	average	average	ADJ
bracis-28406	160	5	f1	f1	ADJ
bracis-28406	160	6	-	-	PUNCT
bracis-28406	160	7	score	score	NOUN
bracis-28406	160	8	values	value	NOUN
bracis-28406	160	9	considering	consider	VERB
bracis-28406	160	10	the	the	DET
bracis-28406	160	11	comparison	comparison	NOUN
bracis-28406	160	12	among	among	ADP
bracis-28406	160	13	the	the	DET
bracis-28406	160	14	bio	bio	NOUN
bracis-28406	160	15	-	-	PUNCT
bracis-28406	160	16	inspired	inspire	VERB
bracis-28406	160	17	algorithms	algorithm	NOUN
bracis-28406	160	18	on	on	ADP
bracis-28406	160	19	dga	dga	NOUN
bracis-28406	160	20	datasets.full	datasets.full	NOUN
bracis-28406	160	21	size	size	NOUN
bracis-28406	160	22	table	table	NOUN
bracis-28406	160	23	table	table	NOUN
bracis-28406	160	24	5	5	NUM
bracis-28406	160	25	.	.	PUNCT
bracis-28406	161	1	wilcoxon	wilcoxon	PROPN
bracis-28406	161	2	signed	sign	VERB
bracis-28406	161	3	-	-	PUNCT
bracis-28406	161	4	rank	rank	NOUN
bracis-28406	161	5	test	test	NOUN
bracis-28406	161	6	for	for	ADP
bracis-28406	161	7	the	the	DET
bracis-28406	161	8	bio	bio	NOUN
bracis-28406	161	9	-	-	PUNCT
bracis-28406	161	10	inspired	inspire	VERB
bracis-28406	161	11	algorithms	algorithm	NOUN
bracis-28406	161	12	in	in	ADP
bracis-28406	161	13	comparison	comparison	NOUN
bracis-28406	161	14	to	to	ADP
bracis-28406	161	15	naíve	naíve	PROPN
bracis-28406	161	16	bayes	bayes	PROPN
bracis-28406	161	17	classifier	classifier	NOUN
bracis-28406	161	18	on	on	ADP
bracis-28406	161	19	dga	dga	NOUN
bracis-28406	161	20	datasets.full	datasets.full	NOUN
bracis-28406	161	21	size	size	NOUN
bracis-28406	161	22	table	table	NOUN
bracis-28406	161	23	5	5	NUM
bracis-28406	161	24	conclusions	conclusion	NOUN
bracis-28406	161	25	in	in	ADP
bracis-28406	161	26	this	this	DET
bracis-28406	161	27	work	work	NOUN
bracis-28406	161	28	,	,	PUNCT
bracis-28406	161	29	we	we	PRON
bracis-28406	161	30	propose	propose	VERB
bracis-28406	161	31	the	the	DET
bracis-28406	161	32	binary	binary	ADJ
bracis-28406	161	33	version	version	NOUN
bracis-28406	161	34	of	of	ADP
bracis-28406	161	35	the	the	DET
bracis-28406	161	36	flying	fly	VERB
bracis-28406	161	37	squirrel	squirrel	NOUN
bracis-28406	161	38	optimizer	optimizer	NOUN
bracis-28406	161	39	.	.	PUNCT
bracis-28406	162	1	considering	consider	VERB
bracis-28406	162	2	the	the	DET
bracis-28406	162	3	feature	feature	NOUN
bracis-28406	162	4	selection	selection	NOUN
bracis-28406	162	5	task	task	NOUN
bracis-28406	162	6	,	,	PUNCT
bracis-28406	162	7	we	we	PRON
bracis-28406	162	8	validated	validate	VERB
bracis-28406	162	9	its	its	PRON
bracis-28406	162	10	robustness	robustness	NOUN
bracis-28406	162	11	and	and	CCONJ
bracis-28406	162	12	performance	performance	NOUN
bracis-28406	162	13	on	on	ADP
bracis-28406	162	14	sixteen	sixteen	NUM
bracis-28406	162	15	benchmark	benchmark	ADJ
bracis-28406	162	16	datasets	dataset	NOUN
bracis-28406	162	17	.	.	PUNCT
bracis-28406	163	1	next	next	ADV
bracis-28406	163	2	,	,	PUNCT
bracis-28406	163	3	we	we	PRON
bracis-28406	163	4	employ	employ	VERB
bracis-28406	163	5	the	the	DET
bracis-28406	163	6	bfso	bfso	NOUN
bracis-28406	163	7	to	to	PART
bracis-28406	163	8	select	select	VERB
bracis-28406	163	9	gaseous	gaseous	ADJ
bracis-28406	163	10	concentrations	concentration	NOUN
bracis-28406	163	11	for	for	ADP
bracis-28406	163	12	fault	fault	NOUN
bracis-28406	163	13	identification	identification	NOUN
bracis-28406	163	14	in	in	ADP
bracis-28406	163	15	power	power	NOUN
bracis-28406	163	16	transformers	transformer	NOUN
bracis-28406	163	17	.	.	PUNCT
bracis-28406	164	1	for	for	ADP
bracis-28406	164	2	bfso	bfso	VERB
bracis-28406	164	3	performance	performance	NOUN
bracis-28406	164	4	comparison	comparison	NOUN
bracis-28406	164	5	purposes	purpose	NOUN
bracis-28406	164	6	,	,	PUNCT
bracis-28406	164	7	we	we	PRON
bracis-28406	164	8	used	use	VERB
bracis-28406	164	9	the	the	DET
bracis-28406	164	10	bioinspired	bioinspire	VERB
bracis-28406	164	11	algorithms	algorithm	NOUN
bracis-28406	164	12	bao	bao	PROPN
bracis-28406	164	13	,	,	PUNCT
bracis-28406	164	14	bba	bba	NOUN
bracis-28406	164	15	,	,	PUNCT
bracis-28406	164	16	bcs	bc	NOUN
bracis-28406	164	17	,	,	PUNCT
bracis-28406	164	18	bfa	bfa	PROPN
bracis-28406	164	19	,	,	PUNCT
bracis-28406	164	20	bfpa	bfpa	NOUN
bracis-28406	164	21	,	,	PUNCT
bracis-28406	164	22	and	and	CCONJ
bracis-28406	164	23	bpso	bpso	NOUN
bracis-28406	164	24	.	.	PUNCT
bracis-28406	165	1	the	the	DET
bracis-28406	165	2	results	result	NOUN
bracis-28406	165	3	showed	show	VERB
bracis-28406	165	4	that	that	SCONJ
bracis-28406	165	5	the	the	DET
bracis-28406	165	6	bfso	bfso	NOUN
bracis-28406	165	7	can	can	AUX
bracis-28406	165	8	greatly	greatly	ADV
bracis-28406	165	9	reduce	reduce	VERB
bracis-28406	165	10	the	the	DET
bracis-28406	165	11	set	set	NOUN
bracis-28406	165	12	of	of	ADP
bracis-28406	165	13	features	feature	NOUN
bracis-28406	165	14	in	in	ADP
bracis-28406	165	15	all	all	DET
bracis-28406	165	16	used	used	ADJ
bracis-28406	165	17	datasets	dataset	NOUN
bracis-28406	165	18	.	.	PUNCT
bracis-28406	166	1	furthermore	furthermore	ADV
bracis-28406	166	2	,	,	PUNCT
bracis-28406	166	3	in	in	ADP
bracis-28406	166	4	some	some	DET
bracis-28406	166	5	cases	case	NOUN
bracis-28406	166	6	,	,	PUNCT
bracis-28406	166	7	it	it	PRON
bracis-28406	166	8	achieved	achieve	VERB
bracis-28406	166	9	better	well	ADJ
bracis-28406	166	10	predictive	predictive	ADJ
bracis-28406	166	11	performance	performance	NOUN
bracis-28406	166	12	than	than	ADP
bracis-28406	166	13	the	the	DET
bracis-28406	166	14	other	other	ADJ
bracis-28406	166	15	bioinspired	bioinspire	VERB
bracis-28406	166	16	algorithms	algorithm	NOUN
bracis-28406	166	17	used	use	VERB
bracis-28406	166	18	for	for	ADP
bracis-28406	166	19	comparison	comparison	NOUN
bracis-28406	166	20	.	.	PUNCT
bracis-28406	167	1	thus	thus	ADV
bracis-28406	167	2	,	,	PUNCT
bracis-28406	167	3	the	the	DET
bracis-28406	167	4	performance	performance	NOUN
bracis-28406	167	5	of	of	ADP
bracis-28406	167	6	the	the	DET
bracis-28406	167	7	bfso	bfso	NOUN
bracis-28406	167	8	demonstrated	demonstrate	VERB
bracis-28406	167	9	in	in	ADP
bracis-28406	167	10	the	the	DET
bracis-28406	167	11	feature	feature	NOUN
bracis-28406	167	12	selection	selection	NOUN
bracis-28406	167	13	task	task	NOUN
bracis-28406	167	14	makes	make	VERB
bracis-28406	167	15	it	it	PRON
bracis-28406	167	16	a	a	DET
bracis-28406	167	17	viable	viable	ADJ
bracis-28406	167	18	tool	tool	NOUN
bracis-28406	167	19	for	for	ADP
bracis-28406	167	20	its	its	PRON
bracis-28406	167	21	performance	performance	NOUN
bracis-28406	167	22	and	and	CCONJ
bracis-28406	167	23	low	low	ADJ
bracis-28406	167	24	complexity	complexity	NOUN
bracis-28406	167	25	.	.	PUNCT
bracis-28406	168	1	for	for	ADP
bracis-28406	168	2	future	future	ADJ
bracis-28406	168	3	work	work	NOUN
bracis-28406	168	4	,	,	PUNCT
bracis-28406	168	5	one	one	NUM
bracis-28406	168	6	idea	idea	NOUN
bracis-28406	168	7	would	would	AUX
bracis-28406	168	8	be	be	AUX
bracis-28406	168	9	to	to	PART
bracis-28406	168	10	use	use	VERB
bracis-28406	168	11	chaotic	chaotic	ADJ
bracis-28406	168	12	maps	map	NOUN
bracis-28406	168	13	for	for	ADP
bracis-28406	168	14	initializing	initialize	VERB
bracis-28406	168	15	the	the	DET
bracis-28406	168	16	flying	fly	VERB
bracis-28406	168	17	squirrels	squirrel	NOUN
bracis-28406	168	18	and	and	CCONJ
bracis-28406	168	19	employ	employ	VERB
bracis-28406	168	20	opposition	opposition	NOUN
bracis-28406	168	21	-	-	PUNCT
bracis-28406	168	22	based	base	VERB
bracis-28406	168	23	learning	learning	NOUN
bracis-28406	168	24	further	far	ADV
bracis-28406	168	25	to	to	PART
bracis-28406	168	26	improve	improve	VERB
bracis-28406	168	27	the	the	DET
bracis-28406	168	28	exploration	exploration	NOUN
bracis-28406	168	29	and	and	CCONJ
bracis-28406	168	30	exploitation	exploitation	NOUN
bracis-28406	168	31	of	of	ADP
bracis-28406	168	32	the	the	DET
bracis-28406	168	33	algorithm	algorithm	NOUN
bracis-28406	168	34	.	.	PUNCT
bracis-28406	169	1	notes	note	VERB
bracis-28406	169	2	1.https://archive.ics.uci.edu/.	1.https://archive.ics.uci.edu/.	NUM
bracis-28406	169	3	2.it	2.it	NUM
bracis-28406	169	4	is	be	AUX
bracis-28406	169	5	worthy	worthy	ADJ
bracis-28406	169	6	to	to	PART
bracis-28406	169	7	say	say	VERB
bracis-28406	169	8	that	that	SCONJ
bracis-28406	169	9	any	any	DET
bracis-28406	169	10	other	other	ADJ
bracis-28406	169	11	supervised	supervised	ADJ
bracis-28406	169	12	classifier	classifier	NOUN
bracis-28406	169	13	can	can	AUX
bracis-28406	169	14	be	be	AUX
bracis-28406	169	15	used	use	VERB
bracis-28406	169	16	.	.	PUNCT
bracis-28406	170	1	we	we	PRON
bracis-28406	170	2	recommend	recommend	VERB
bracis-28406	170	3	models	model	NOUN
bracis-28406	170	4	that	that	PRON
bracis-28406	170	5	figure	figure	VERB
bracis-28406	170	6	a	a	DET
bracis-28406	170	7	reasonably	reasonably	ADV
bracis-28406	170	8	efficient	efficient	ADJ
bracis-28406	170	9	training	training	NOUN
bracis-28406	170	10	step	step	NOUN
bracis-28406	170	11	,	,	PUNCT
bracis-28406	170	12	for	for	SCONJ
bracis-28406	170	13	the	the	DET
bracis-28406	170	14	fitness	fitness	NOUN
bracis-28406	170	15	function	function	NOUN
bracis-28406	170	16	might	might	AUX
bracis-28406	170	17	be	be	AUX
bracis-28406	170	18	evaluated	evaluate	VERB
bracis-28406	170	19	several	several	ADJ
bracis-28406	170	20	times	time	NOUN
bracis-28406	170	21	during	during	ADP
bracis-28406	170	22	the	the	DET
bracis-28406	170	23	optimization	optimization	NOUN
bracis-28406	170	24	process	process	NOUN
bracis-28406	170	25	.	.	PUNCT
bracis-28406	171	1	3.the	3.the	DET
bracis-28406	171	2	algorithms	algorithm	NOUN
bracis-28406	171	3	used	use	VERB
bracis-28406	171	4	for	for	ADP
bracis-28406	171	5	comparison	comparison	NOUN
bracis-28406	171	6	purposes	purpose	NOUN
bracis-28406	171	7	and	and	CCONJ
bracis-28406	171	8	fso	fso	NOUN
bracis-28406	171	9	are	be	AUX
bracis-28406	171	10	part	part	NOUN
bracis-28406	171	11	of	of	ADP
bracis-28406	171	12	opytimizer	opytimizer	NOUN
bracis-28406	171	13	library	library	NOUN
bracis-28406	171	14	,	,	PUNCT
bracis-28406	171	15	which	which	PRON
bracis-28406	171	16	contains	contain	VERB
bracis-28406	171	17	several	several	ADJ
bracis-28406	171	18	implementations	implementation	NOUN
bracis-28406	171	19	of	of	ADP
bracis-28406	171	20	metaheuristics	metaheuristic	NOUN
bracis-28406	171	21	in	in	ADP
bracis-28406	171	22	python	python	PROPN
bracis-28406	171	23	.	.	PUNCT
bracis-28406	172	1	the	the	DET
bracis-28406	172	2	opytimizer	opytimizer	NOUN
bracis-28406	172	3	library	library	NOUN
bracis-28406	172	4	is	be	AUX
bracis-28406	172	5	available	available	ADJ
bracis-28406	172	6	in	in	ADP
bracis-28406	172	7	:	:	PUNCT
bracis-28406	172	8	https://github.com/gugarosa/opytimizer	https://github.com/gugarosa/opytimizer	NOUN
bracis-28406	172	9	.	.	PUNCT
bracis-28406	173	1	references	reference	NOUN
bracis-28406	173	2	iec	iec	NOUN
bracis-28406	173	3	60599:2022	60599:2022	PROPN
bracis-28406	173	4	mineral	mineral	VERB
bracis-28406	173	5	oil	oil	NOUN
bracis-28406	173	6	-	-	PUNCT
bracis-28406	173	7	filled	fill	VERB
bracis-28406	173	8	electrical	electrical	ADJ
bracis-28406	173	9	equipment	equipment	NOUN
bracis-28406	173	10	in	in	ADP
bracis-28406	173	11	service	service	NOUN
bracis-28406	173	12	guidance	guidance	NOUN
bracis-28406	173	13	on	on	ADP
bracis-28406	173	14	the	the	DET
bracis-28406	173	15	interpretation	interpretation	NOUN
bracis-28406	173	16	of	of	ADP
bracis-28406	173	17	dissolved	dissolved	ADJ
bracis-28406	173	18	and	and	CCONJ
bracis-28406	173	19	free	free	ADJ
bracis-28406	173	20	gases	gas	NOUN
bracis-28406	173	21	analysis	analysis	NOUN
bracis-28406	173	22	.	.	PUNCT
bracis-28406	174	1	iec	iec	PROPN
bracis-28406	174	2	,	,	PUNCT
bracis-28406	174	3	geneva	geneva	PROPN
bracis-28406	174	4	,	,	PUNCT
bracis-28406	174	5	switzerland	switzerland	PROPN
bracis-28406	174	6	,	,	PUNCT
bracis-28406	174	7	4	4	NUM
bracis-28406	174	8	edn	edn	NOUN
bracis-28406	174	9	.	.	PUNCT
bracis-28406	175	1	(	(	PUNCT
bracis-28406	175	2	2022	2022	NUM
bracis-28406	175	3	)	)	PUNCT
bracis-28406	175	4	google	google	PROPN
bracis-28406	175	5	scholar	scholar	NOUN
bracis-28406	175	6	  	  	SPACE
bracis-28406	175	7	arora	arora	PROPN
bracis-28406	175	8	,	,	PUNCT
bracis-28406	175	9	s.	s.	PROPN
bracis-28406	175	10	,	,	PUNCT
bracis-28406	175	11	singh	singh	PROPN
bracis-28406	175	12	,	,	PUNCT
bracis-28406	175	13	s.	s.	PROPN
bracis-28406	175	14	:	:	PUNCT
bracis-28406	175	15	butterfly	butterfly	NOUN
bracis-28406	175	16	optimization	optimization	NOUN
bracis-28406	175	17	algorithm	algorithm	NOUN
bracis-28406	175	18	:	:	PUNCT
bracis-28406	175	19	a	a	DET
bracis-28406	175	20	novel	novel	ADJ
bracis-28406	175	21	approach	approach	NOUN
bracis-28406	175	22	for	for	ADP
bracis-28406	175	23	global	global	ADJ
bracis-28406	175	24	optimization	optimization	NOUN
bracis-28406	175	25	.	.	PUNCT
bracis-28406	176	1	soft	soft	ADJ
bracis-28406	176	2	.	.	PUNCT
bracis-28406	177	1	comput	comput	NOUN
bracis-28406	177	2	.	.	PUNCT
bracis-28406	178	1	23(3	23(3	NUM
bracis-28406	178	2	)	)	PUNCT
bracis-28406	178	3	,	,	PUNCT
bracis-28406	179	1	715–734	715–734	NUM
bracis-28406	179	2	(	(	PUNCT
bracis-28406	179	3	2019	2019	NUM
bracis-28406	179	4	)	)	PUNCT
bracis-28406	179	5	.	.	PUNCT
bracis-28406	180	1	https://doi.org/10.1007/s00500-018-3102-4	https://doi.org/10.1007/s00500-018-3102-4	NUM
bracis-28406	180	2	article	article	NOUN
bracis-28406	180	3	  	  	SPACE
bracis-28406	180	4	google	google	PROPN
bracis-28406	180	5	scholar	scholar	NOUN
bracis-28406	180	6	  	  	SPACE
bracis-28406	180	7	azizyan	azizyan	ADJ
bracis-28406	180	8	,	,	PUNCT
bracis-28406	180	9	g.	g.	PROPN
bracis-28406	180	10	,	,	PUNCT
bracis-28406	180	11	miarnaeimi	miarnaeimi	PROPN
bracis-28406	180	12	,	,	PUNCT
bracis-28406	180	13	f.	f.	PROPN
bracis-28406	180	14	,	,	PUNCT
bracis-28406	180	15	rashki	rashki	PROPN
bracis-28406	180	16	,	,	PUNCT
bracis-28406	180	17	m.	m.	NOUN
bracis-28406	180	18	,	,	PUNCT
bracis-28406	180	19	shabakhty	shabakhty	ADJ
bracis-28406	180	20	,	,	PUNCT
bracis-28406	180	21	n.	n.	NOUN
bracis-28406	180	22	:	:	PUNCT
bracis-28406	180	23	flying	fly	VERB
bracis-28406	180	24	squirrel	squirrel	NOUN
bracis-28406	180	25	optimizer	optimizer	NOUN
bracis-28406	180	26	(	(	PUNCT
bracis-28406	180	27	fso	fso	NOUN
bracis-28406	180	28	):	):	PUNCT
bracis-28406	180	29	a	a	DET
bracis-28406	180	30	novel	novel	ADJ
bracis-28406	180	31	si	si	NOUN
bracis-28406	180	32	-	-	PUNCT
bracis-28406	180	33	based	base	VERB
bracis-28406	180	34	optimization	optimization	NOUN
bracis-28406	180	35	algorithm	algorithm	NOUN
bracis-28406	180	36	for	for	ADP
bracis-28406	180	37	engineering	engineering	NOUN
bracis-28406	180	38	problems	problem	NOUN
bracis-28406	180	39	.	.	PUNCT
bracis-28406	181	1	iranian	iranian	PROPN
bracis-28406	181	2	j.	j.	PROPN
bracis-28406	181	3	optimiz	optimiz	PROPN
bracis-28406	181	4	.	.	PUNCT
bracis-28406	182	1	11(2	11(2	X
bracis-28406	182	2	)	)	PUNCT
bracis-28406	182	3	,	,	PUNCT
bracis-28406	182	4	177–205	177–205	NUM
bracis-28406	182	5	(	(	PUNCT
bracis-28406	182	6	2019	2019	NUM
bracis-28406	182	7	)	)	PUNCT
bracis-28406	182	8	google	google	NOUN
bracis-28406	182	9	scholar	scholar	NOUN
bracis-28406	182	10	  	  	SPACE
bracis-28406	182	11	chou	chou	NOUN
bracis-28406	182	12	,	,	PUNCT
bracis-28406	182	13	j.s	j.s	PROPN
bracis-28406	182	14	.	.	PROPN
bracis-28406	182	15	,	,	PUNCT
bracis-28406	182	16	truong	truong	PROPN
bracis-28406	182	17	,	,	PUNCT
bracis-28406	182	18	d.n	d.n	PROPN
bracis-28406	182	19	.	.	PROPN
bracis-28406	182	20	:	:	PUNCT
bracis-28406	182	21	a	a	DET
bracis-28406	182	22	novel	novel	ADJ
bracis-28406	182	23	metaheuristic	metaheuristic	ADJ
bracis-28406	182	24	optimizer	optimizer	NOUN
bracis-28406	182	25	inspired	inspire	VERB
bracis-28406	182	26	by	by	ADP
bracis-28406	182	27	behavior	behavior	NOUN
bracis-28406	182	28	of	of	ADP
bracis-28406	182	29	jellyfish	jellyfish	NOUN
bracis-28406	182	30	in	in	ADP
bracis-28406	182	31	ocean	ocean	PROPN
bracis-28406	182	32	.	.	PUNCT
bracis-28406	183	1	appl	appl	PROPN
bracis-28406	183	2	.	.	PROPN
bracis-28406	183	3	math	math	PROPN
bracis-28406	183	4	.	.	PUNCT
bracis-28406	184	1	comput	comput	NOUN
bracis-28406	184	2	.	.	PUNCT
bracis-28406	185	1	389	389	NUM
bracis-28406	185	2	,	,	PUNCT
bracis-28406	185	3	125535	125535	NUM
bracis-28406	185	4	(	(	PUNCT
bracis-28406	185	5	2021	2021	NUM
bracis-28406	185	6	)	)	PUNCT
bracis-28406	185	7	mathscinet	mathscinet	NOUN
bracis-28406	185	8	  	  	SPACE
bracis-28406	185	9	math	math	NOUN
bracis-28406	185	10	  	  	SPACE
bracis-28406	185	11	google	google	PROPN
bracis-28406	185	12	scholar	scholar	NOUN
bracis-28406	185	13	  	  	SPACE
bracis-28406	185	14	equbal	equbal	NOUN
bracis-28406	185	15	,	,	PUNCT
bracis-28406	185	16	m.d	m.d	PROPN
bracis-28406	185	17	.	.	PROPN
bracis-28406	185	18	,	,	PUNCT
bracis-28406	185	19	khan	khan	PROPN
bracis-28406	185	20	,	,	PUNCT
bracis-28406	185	21	s.a	s.a	PROPN
bracis-28406	185	22	.	.	PROPN
bracis-28406	185	23	,	,	PUNCT
bracis-28406	185	24	islam	islam	PROPN
bracis-28406	185	25	,	,	PUNCT
bracis-28406	185	26	t.	t.	PROPN
bracis-28406	185	27	:	:	PUNCT
bracis-28406	185	28	transformer	transformer	ADJ
bracis-28406	185	29	incipient	incipient	ADJ
bracis-28406	185	30	fault	fault	NOUN
bracis-28406	185	31	diagnosis	diagnosis	NOUN
bracis-28406	185	32	on	on	ADP
bracis-28406	185	33	the	the	DET
bracis-28406	185	34	basis	basis	NOUN
bracis-28406	185	35	of	of	ADP
bracis-28406	185	36	energy	energy	NOUN
bracis-28406	185	37	-	-	PUNCT
bracis-28406	185	38	weighted	weight	VERB
bracis-28406	185	39	dga	dga	NOUN
bracis-28406	185	40	using	use	VERB
bracis-28406	185	41	an	an	DET
bracis-28406	185	42	artificial	artificial	ADJ
bracis-28406	185	43	neural	neural	ADJ
bracis-28406	185	44	network	network	NOUN
bracis-28406	185	45	.	.	PUNCT
bracis-28406	186	1	turk	turk	PROPN
bracis-28406	186	2	.	.	PUNCT
bracis-28406	187	1	j.	j.	PROPN
bracis-28406	187	2	electr	electr	PROPN
bracis-28406	187	3	.	.	PUNCT
bracis-28406	188	1	eng	eng	PROPN
bracis-28406	188	2	.	.	PUNCT
bracis-28406	189	1	comput	comput	PROPN
bracis-28406	189	2	.	.	PUNCT
bracis-28406	190	1	sci	sci	PROPN
bracis-28406	190	2	.	.	PROPN
bracis-28406	190	3	26(1	26(1	NUM
bracis-28406	190	4	)	)	PUNCT
bracis-28406	190	5	,	,	PUNCT
bracis-28406	190	6	77–88	77–88	NUM
bracis-28406	190	7	(	(	PUNCT
bracis-28406	190	8	2018	2018	NUM
bracis-28406	190	9	)	)	PUNCT
bracis-28406	190	10	article	article	NOUN
bracis-28406	190	11	  	  	SPACE
bracis-28406	190	12	google	google	PROPN
bracis-28406	190	13	scholar	scholar	NOUN
bracis-28406	190	14	  	  	SPACE
bracis-28406	190	15	falcón	falcón	NOUN
bracis-28406	190	16	,	,	PUNCT
bracis-28406	190	17	r.	r.	PROPN
bracis-28406	190	18	,	,	PUNCT
bracis-28406	190	19	almeida	almeida	PROPN
bracis-28406	190	20	,	,	PUNCT
bracis-28406	190	21	m.	m.	NOUN
bracis-28406	190	22	,	,	PUNCT
bracis-28406	190	23	nayak	nayak	PROPN
bracis-28406	190	24	,	,	PUNCT
bracis-28406	190	25	a.	a.	NOUN
bracis-28406	190	26	:	:	PUNCT
bracis-28406	190	27	fault	fault	VERB
bracis-28406	190	28	identification	identification	NOUN
bracis-28406	190	29	with	with	ADP
bracis-28406	190	30	binary	binary	ADJ
bracis-28406	190	31	adaptive	adaptive	ADJ
bracis-28406	190	32	fireflies	firefly	NOUN
bracis-28406	190	33	in	in	ADP
bracis-28406	190	34	parallel	parallel	ADJ
bracis-28406	190	35	and	and	CCONJ
bracis-28406	190	36	distributed	distributed	ADJ
bracis-28406	190	37	systems	system	NOUN
bracis-28406	190	38	.	.	PUNCT
bracis-28406	191	1	in	in	ADP
bracis-28406	191	2	:	:	PUNCT
bracis-28406	191	3	proceedings	proceeding	NOUN
bracis-28406	191	4	of	of	ADP
bracis-28406	191	5	the	the	DET
bracis-28406	191	6	ieee	ieee	PROPN
bracis-28406	191	7	congress	congress	PROPN
bracis-28406	191	8	on	on	ADP
bracis-28406	191	9	evolutionary	evolutionary	ADJ
bracis-28406	191	10	computation	computation	NOUN
bracis-28406	191	11	,	,	PUNCT
bracis-28406	191	12	pp	pp	X
bracis-28406	191	13	.	.	PUNCT
bracis-28406	192	1	1359–1366	1359–1366	NUM
bracis-28406	192	2	.	.	PUNCT
bracis-28406	193	1	ieee	ieee	NOUN
bracis-28406	193	2	(	(	PUNCT
bracis-28406	193	3	2011	2011	NUM
bracis-28406	193	4	)	)	PUNCT
bracis-28406	193	5	google	google	PROPN
bracis-28406	193	6	scholar	scholar	NOUN
bracis-28406	193	7	  	  	SPACE
bracis-28406	193	8	friedman	friedman	PROPN
bracis-28406	193	9	,	,	PUNCT
bracis-28406	193	10	m.	m.	NOUN
bracis-28406	193	11	:	:	PUNCT
bracis-28406	193	12	the	the	DET
bracis-28406	193	13	use	use	NOUN
bracis-28406	193	14	of	of	ADP
bracis-28406	193	15	ranks	rank	NOUN
bracis-28406	193	16	to	to	PART
bracis-28406	193	17	avoid	avoid	VERB
bracis-28406	193	18	the	the	DET
bracis-28406	193	19	assumption	assumption	NOUN
bracis-28406	193	20	of	of	ADP
bracis-28406	193	21	normality	normality	NOUN
bracis-28406	193	22	implicit	implicit	NOUN
bracis-28406	193	23	in	in	ADP
bracis-28406	193	24	the	the	DET
bracis-28406	193	25	analysis	analysis	NOUN
bracis-28406	193	26	of	of	ADP
bracis-28406	193	27	variance	variance	NOUN
bracis-28406	193	28	.	.	PUNCT
bracis-28406	194	1	j.	j.	PROPN
bracis-28406	194	2	am	am	PROPN
bracis-28406	194	3	.	.	PUNCT
bracis-28406	195	1	stat	stat	PROPN
bracis-28406	195	2	.	.	PUNCT
bracis-28406	196	1	assoc	assoc	PROPN
bracis-28406	196	2	.	.	PUNCT
bracis-28406	197	1	32(200	32(200	PROPN
bracis-28406	197	2	)	)	PUNCT
bracis-28406	197	3	,	,	PUNCT
bracis-28406	197	4	675–701	675–701	NUM
bracis-28406	197	5	(	(	PUNCT
bracis-28406	197	6	1937	1937	NUM
bracis-28406	197	7	)	)	PUNCT
bracis-28406	197	8	article	article	NOUN
bracis-28406	197	9	  	  	SPACE
bracis-28406	197	10	math	math	NOUN
bracis-28406	197	11	  	  	SPACE
bracis-28406	197	12	google	google	PROPN
bracis-28406	197	13	scholar	scholar	NOUN
bracis-28406	197	14	  	  	SPACE
bracis-28406	197	15	friedman	friedman	NOUN
bracis-28406	197	16	,	,	PUNCT
bracis-28406	197	17	m.	m.	NOUN
bracis-28406	197	18	:	:	PUNCT
bracis-28406	197	19	a	a	DET
bracis-28406	197	20	comparison	comparison	NOUN
bracis-28406	197	21	of	of	ADP
bracis-28406	197	22	alternative	alternative	ADJ
bracis-28406	197	23	tests	test	NOUN
bracis-28406	197	24	of	of	ADP
bracis-28406	197	25	significance	significance	NOUN
bracis-28406	197	26	for	for	ADP
bracis-28406	197	27	the	the	DET
bracis-28406	197	28	problem	problem	NOUN
bracis-28406	197	29	of	of	ADP
bracis-28406	197	30	m	m	PROPN
bracis-28406	197	31	rankings	ranking	NOUN
bracis-28406	197	32	.	.	PUNCT
bracis-28406	198	1	ann	ann	PROPN
bracis-28406	198	2	.	.	PUNCT
bracis-28406	198	3	math	math	PROPN
bracis-28406	198	4	.	.	PUNCT
bracis-28406	199	1	stat	stat	PROPN
bracis-28406	199	2	.	.	PUNCT
bracis-28406	200	1	11(1	11(1	NUM
bracis-28406	200	2	)	)	PUNCT
bracis-28406	200	3	,	,	PUNCT
bracis-28406	200	4	86–92	86–92	NUM
bracis-28406	200	5	(	(	PUNCT
bracis-28406	200	6	1940	1940	NUM
bracis-28406	200	7	)	)	PUNCT
bracis-28406	200	8	article	article	NOUN
bracis-28406	200	9	  	  	SPACE
bracis-28406	200	10	mathscinet	mathscinet	NOUN
bracis-28406	200	11	  	  	SPACE
bracis-28406	200	12	math	math	NOUN
bracis-28406	200	13	  	  	SPACE
bracis-28406	200	14	google	google	PROPN
bracis-28406	200	15	scholar	scholar	NOUN
bracis-28406	200	16	  	  	SPACE
bracis-28406	200	17	kennedy	kennedy	PROPN
bracis-28406	200	18	,	,	PUNCT
bracis-28406	200	19	j.	j.	PROPN
bracis-28406	200	20	,	,	PUNCT
bracis-28406	200	21	eberhart	eberhart	PROPN
bracis-28406	200	22	,	,	PUNCT
bracis-28406	200	23	r.c	r.c	PROPN
bracis-28406	200	24	.	.	PROPN
bracis-28406	200	25	:	:	PUNCT
bracis-28406	201	1	a	a	DET
bracis-28406	201	2	discrete	discrete	ADJ
bracis-28406	201	3	binary	binary	ADJ
bracis-28406	201	4	version	version	NOUN
bracis-28406	201	5	of	of	ADP
bracis-28406	201	6	the	the	DET
bracis-28406	201	7	particle	particle	NOUN
bracis-28406	201	8	swarm	swarm	NOUN
bracis-28406	201	9	algorithm	algorithm	NOUN
bracis-28406	201	10	.	.	PUNCT
bracis-28406	202	1	in	in	ADP
bracis-28406	202	2	:	:	PUNCT
bracis-28406	202	3	ieee	ieee	PROPN
bracis-28406	202	4	international	international	ADJ
bracis-28406	202	5	conference	conference	NOUN
bracis-28406	202	6	on	on	ADP
bracis-28406	202	7	systems	system	NOUN
bracis-28406	202	8	,	,	PUNCT
bracis-28406	202	9	man	man	NOUN
bracis-28406	202	10	,	,	PUNCT
bracis-28406	202	11	and	and	CCONJ
bracis-28406	202	12	cybernetics	cybernetic	NOUN
bracis-28406	202	13	,	,	PUNCT
bracis-28406	202	14	vol	vol	NOUN
bracis-28406	202	15	.	.	PROPN
bracis-28406	202	16	5	5	NUM
bracis-28406	202	17	,	,	PUNCT
bracis-28406	202	18	pp	pp	ADJ
bracis-28406	202	19	.	.	PUNCT
bracis-28406	202	20	4104–4108	4104–4108	NUM
bracis-28406	202	21	(	(	PUNCT
bracis-28406	202	22	1997	1997	NUM
bracis-28406	202	23	)	)	PUNCT
bracis-28406	202	24	google	google	PROPN
bracis-28406	202	25	scholar	scholar	NOUN
bracis-28406	202	26	  	  	SPACE
bracis-28406	202	27	kennedy	kennedy	PROPN
bracis-28406	202	28	,	,	PUNCT
bracis-28406	202	29	j.	j.	PROPN
bracis-28406	202	30	,	,	PUNCT
bracis-28406	202	31	eberhart	eberhart	PROPN
bracis-28406	202	32	,	,	PUNCT
bracis-28406	202	33	r.	r.	PROPN
bracis-28406	202	34	:	:	PUNCT
bracis-28406	202	35	particle	particle	NOUN
bracis-28406	202	36	swarm	swarm	NOUN
bracis-28406	202	37	optimization	optimization	NOUN
bracis-28406	202	38	.	.	PUNCT
bracis-28406	203	1	in	in	ADP
bracis-28406	203	2	:	:	PUNCT
bracis-28406	203	3	proceedings	proceeding	NOUN
bracis-28406	203	4	of	of	ADP
bracis-28406	203	5	icnn	icnn	PROPN
bracis-28406	203	6	1995	1995	NUM
bracis-28406	203	7	-	-	PUNCT
bracis-28406	203	8	international	international	ADJ
bracis-28406	203	9	conference	conference	NOUN
bracis-28406	203	10	on	on	ADP
bracis-28406	203	11	neural	neural	ADJ
bracis-28406	203	12	networks	network	NOUN
bracis-28406	203	13	,	,	PUNCT
bracis-28406	203	14	vol	vol	NOUN
bracis-28406	203	15	.	.	PROPN
bracis-28406	203	16	4	4	NUM
bracis-28406	203	17	,	,	PUNCT
bracis-28406	203	18	pp	pp	ADJ
bracis-28406	203	19	.	.	PUNCT
bracis-28406	203	20	1942–1948	1942–1948	NUM
bracis-28406	203	21	.	.	PUNCT
bracis-28406	204	1	ieee	ieee	NOUN
bracis-28406	204	2	(	(	PUNCT
bracis-28406	204	3	1995	1995	NUM
bracis-28406	204	4	)	)	PUNCT
bracis-28406	204	5	google	google	PROPN
bracis-28406	204	6	scholar	scholar	NOUN
bracis-28406	204	7	  	  	SPACE
bracis-28406	204	8	li	li	PROPN
bracis-28406	204	9	,	,	PUNCT
bracis-28406	204	10	l.	l.	PROPN
bracis-28406	204	11	,	,	PUNCT
bracis-28406	204	12	pan	pan	PROPN
bracis-28406	204	13	,	,	PUNCT
bracis-28406	204	14	j.s	j.s	PROPN
bracis-28406	204	15	.	.	PROPN
bracis-28406	204	16	,	,	PUNCT
bracis-28406	204	17	zhuang	zhuang	PROPN
bracis-28406	204	18	,	,	PUNCT
bracis-28406	204	19	z.	z.	PROPN
bracis-28406	204	20	,	,	PUNCT
bracis-28406	204	21	chu	chu	PROPN
bracis-28406	204	22	,	,	PUNCT
bracis-28406	204	23	s.c	s.c	PROPN
bracis-28406	204	24	.	.	PROPN
bracis-28406	204	25	:	:	PUNCT
bracis-28406	204	26	a	a	DET
bracis-28406	204	27	novel	novel	ADJ
bracis-28406	204	28	feature	feature	NOUN
bracis-28406	204	29	selection	selection	NOUN
bracis-28406	204	30	algorithm	algorithm	NOUN
bracis-28406	204	31	based	base	VERB
bracis-28406	204	32	on	on	ADP
bracis-28406	204	33	aquila	aquila	ADJ
bracis-28406	204	34	optimizer	optimizer	NOUN
bracis-28406	204	35	for	for	ADP
bracis-28406	204	36	covid-19	covid-19	PROPN
bracis-28406	204	37	classification	classification	NOUN
bracis-28406	204	38	.	.	PUNCT
bracis-28406	205	1	in	in	ADP
bracis-28406	205	2	:	:	PUNCT
bracis-28406	205	3	shi	shi	PROPN
bracis-28406	205	4	,	,	PUNCT
bracis-28406	205	5	z.	z.	PROPN
bracis-28406	205	6	,	,	PUNCT
bracis-28406	205	7	zucker	zucker	PROPN
bracis-28406	205	8	,	,	PUNCT
bracis-28406	205	9	j.d	j.d	PROPN
bracis-28406	205	10	.	.	PROPN
bracis-28406	205	11	,	,	PUNCT
bracis-28406	205	12	an	an	PROPN
bracis-28406	205	13	,	,	PUNCT
bracis-28406	205	14	b.	b.	PROPN
bracis-28406	205	15	(	(	PUNCT
bracis-28406	205	16	eds	ed	NOUN
bracis-28406	205	17	.	.	PUNCT
bracis-28406	205	18	)	)	PUNCT
bracis-28406	205	19	intelligent	intelligent	ADJ
bracis-28406	205	20	information	information	NOUN
bracis-28406	205	21	processing	processing	NOUN
bracis-28406	205	22	xi	xi	PROPN
bracis-28406	205	23	,	,	PUNCT
bracis-28406	205	24	pp	pp	PROPN
bracis-28406	205	25	.	.	PUNCT
bracis-28406	206	1	30–41	30–41	NUM
bracis-28406	206	2	.	.	PUNCT
bracis-28406	207	1	springer	springer	NOUN
bracis-28406	207	2	international	international	ADJ
bracis-28406	207	3	publishing	publishing	NOUN
bracis-28406	207	4	,	,	PUNCT
bracis-28406	207	5	cham	cham	PROPN
bracis-28406	207	6	(	(	PUNCT
bracis-28406	207	7	2022	2022	NUM
bracis-28406	207	8	)	)	PUNCT
bracis-28406	207	9	.	.	PUNCT
bracis-28406	208	1	https://doi.org/10.1007/978-3-031-03948-5_3	https://doi.org/10.1007/978-3-031-03948-5_3	ADJ
bracis-28406	208	2	chapter	chapter	NOUN
bracis-28406	208	3	  	  	SPACE
bracis-28406	208	4	google	google	PROPN
bracis-28406	208	5	scholar	scholar	NOUN
bracis-28406	208	6	  	  	SPACE
bracis-28406	208	7	mantegna	mantegna	PROPN
bracis-28406	208	8	,	,	PUNCT
bracis-28406	208	9	r.n	r.n	PROPN
bracis-28406	208	10	.	.	PROPN
bracis-28406	208	11	:	:	PUNCT
bracis-28406	209	1	fast	fast	ADJ
bracis-28406	209	2	,	,	PUNCT
bracis-28406	209	3	accurate	accurate	ADJ
bracis-28406	209	4	algorithm	algorithm	NOUN
bracis-28406	209	5	for	for	ADP
bracis-28406	209	6	numerical	numerical	ADJ
bracis-28406	209	7	simulation	simulation	NOUN
bracis-28406	209	8	of	of	ADP
bracis-28406	209	9	lévy	lévy	ADJ
bracis-28406	209	10	stable	stable	ADJ
bracis-28406	209	11	stochastic	stochastic	NOUN
bracis-28406	209	12	processes	process	NOUN
bracis-28406	209	13	.	.	PUNCT
bracis-28406	210	1	phys	phy	NOUN
bracis-28406	210	2	.	.	PUNCT
bracis-28406	211	1	rev	rev	PROPN
bracis-28406	211	2	.	.	PUNCT
bracis-28406	212	1	e	e	PROPN
bracis-28406	212	2	49	49	NUM
bracis-28406	212	3	,	,	PUNCT
bracis-28406	212	4	4677–4683	4677–4683	NUM
bracis-28406	212	5	(	(	PUNCT
bracis-28406	212	6	1994	1994	NUM
bracis-28406	212	7	)	)	PUNCT
bracis-28406	212	8	article	article	NOUN
bracis-28406	212	9	  	  	SPACE
bracis-28406	212	10	google	google	PROPN
bracis-28406	212	11	scholar	scholar	NOUN
bracis-28406	212	12	  	  	SPACE
bracis-28406	212	13	mirjalili	mirjalili	NOUN
bracis-28406	212	14	,	,	PUNCT
bracis-28406	212	15	s.	s.	PROPN
bracis-28406	212	16	,	,	PUNCT
bracis-28406	212	17	lewis	lewis	PROPN
bracis-28406	212	18	,	,	PUNCT
bracis-28406	212	19	a.	a.	NOUN
bracis-28406	212	20	:	:	PUNCT
bracis-28406	212	21	the	the	DET
bracis-28406	212	22	whale	whale	NOUN
bracis-28406	212	23	optimization	optimization	NOUN
bracis-28406	212	24	algorithm	algorithm	NOUN
bracis-28406	212	25	.	.	PUNCT
bracis-28406	213	1	adv	adv	PROPN
bracis-28406	213	2	.	.	PUNCT
bracis-28406	214	1	eng	eng	PROPN
bracis-28406	214	2	.	.	PUNCT
bracis-28406	215	1	softw	softw	PROPN
bracis-28406	215	2	.	.	PUNCT
bracis-28406	216	1	95	95	NUM
bracis-28406	216	2	,	,	PUNCT
bracis-28406	216	3	51–67	51–67	NUM
bracis-28406	216	4	(	(	PUNCT
bracis-28406	216	5	2016	2016	NUM
bracis-28406	216	6	)	)	PUNCT
bracis-28406	216	7	.	.	PUNCT
bracis-28406	217	1	https://doi.org/10.1016/j.advengsoft.2016.01.008	https://doi.org/10.1016/j.advengsoft.2016.01.008	NOUN
bracis-28406	217	2	article	article	NOUN
bracis-28406	217	3	  	  	SPACE
bracis-28406	217	4	google	google	PROPN
bracis-28406	217	5	scholar	scholar	NOUN
bracis-28406	217	6	  	  	SPACE
bracis-28406	217	7	nakamura	nakamura	NOUN
bracis-28406	217	8	,	,	PUNCT
bracis-28406	217	9	r.y.m	r.y.m	NOUN
bracis-28406	217	10	.	.	PROPN
bracis-28406	217	11	,	,	PUNCT
bracis-28406	217	12	pereira	pereira	PROPN
bracis-28406	217	13	,	,	PUNCT
bracis-28406	217	14	l.a.m	l.a.m	PROPN
bracis-28406	217	15	.	.	PROPN
bracis-28406	217	16	,	,	PUNCT
bracis-28406	217	17	costa	costa	PROPN
bracis-28406	217	18	,	,	PUNCT
bracis-28406	217	19	k.a	k.a	PROPN
bracis-28406	217	20	.	.	PROPN
bracis-28406	217	21	,	,	PUNCT
bracis-28406	217	22	rodrigues	rodrigues	PROPN
bracis-28406	217	23	,	,	PUNCT
bracis-28406	217	24	d.	d.	PROPN
bracis-28406	217	25	,	,	PUNCT
bracis-28406	217	26	papa	papa	PROPN
bracis-28406	217	27	,	,	PUNCT
bracis-28406	217	28	j.p	j.p	PROPN
bracis-28406	217	29	.	.	PROPN
bracis-28406	217	30	,	,	PUNCT
bracis-28406	217	31	yang	yang	PROPN
bracis-28406	217	32	,	,	PUNCT
bracis-28406	217	33	x.s	x.s	PROPN
bracis-28406	217	34	.	.	PUNCT
bracis-28406	217	35	:	:	PUNCT
bracis-28406	217	36	bba	bba	NOUN
bracis-28406	217	37	:	:	PUNCT
bracis-28406	217	38	a	a	DET
bracis-28406	217	39	binary	binary	ADJ
bracis-28406	217	40	bat	bat	NOUN
bracis-28406	217	41	algorithm	algorithm	NOUN
bracis-28406	217	42	for	for	ADP
bracis-28406	217	43	feature	feature	NOUN
bracis-28406	217	44	selection	selection	NOUN
bracis-28406	217	45	.	.	PUNCT
bracis-28406	218	1	in	in	ADP
bracis-28406	218	2	:	:	PUNCT
bracis-28406	218	3	2012	2012	NUM
bracis-28406	218	4	25th	25th	NOUN
bracis-28406	218	5	sibgrapi	sibgrapi	ADJ
bracis-28406	218	6	conference	conference	NOUN
bracis-28406	218	7	on	on	ADP
bracis-28406	218	8	graphics	graphic	NOUN
bracis-28406	218	9	,	,	PUNCT
bracis-28406	218	10	patterns	pattern	NOUN
bracis-28406	218	11	and	and	CCONJ
bracis-28406	218	12	images	image	NOUN
bracis-28406	218	13	,	,	PUNCT
bracis-28406	218	14	pp	pp	ADJ
bracis-28406	218	15	.	.	PUNCT
bracis-28406	219	1	291–297	291–297	NUM
bracis-28406	219	2	(	(	PUNCT
bracis-28406	219	3	2012	2012	NUM
bracis-28406	219	4	)	)	PUNCT
bracis-28406	219	5	google	google	PROPN
bracis-28406	219	6	scholar	scholar	NOUN
bracis-28406	219	7	  	  	SPACE
bracis-28406	219	8	nemenyi	nemenyi	PROPN
bracis-28406	219	9	,	,	PUNCT
bracis-28406	219	10	p.	p.	NOUN
bracis-28406	219	11	:	:	PUNCT
bracis-28406	219	12	distribution	distribution	NOUN
bracis-28406	219	13	-	-	PUNCT
bracis-28406	219	14	free	free	ADJ
bracis-28406	219	15	multiple	multiple	ADJ
bracis-28406	219	16	comparisons	comparison	NOUN
bracis-28406	219	17	.	.	PUNCT
bracis-28406	220	1	princeton	princeton	PROPN
bracis-28406	220	2	university	university	PROPN
bracis-28406	220	3	(	(	PUNCT
bracis-28406	220	4	1963	1963	NUM
bracis-28406	220	5	)	)	PUNCT
bracis-28406	220	6	google	google	PROPN
bracis-28406	220	7	scholar	scholar	NOUN
bracis-28406	220	8	  	  	SPACE
bracis-28406	220	9	rodrigues	rodrigue	NOUN
bracis-28406	220	10	,	,	PUNCT
bracis-28406	220	11	d.	d.	PROPN
bracis-28406	220	12	,	,	PUNCT
bracis-28406	220	13	et	et	PROPN
bracis-28406	220	14	al	al	PROPN
bracis-28406	220	15	.	.	PUNCT
bracis-28406	220	16	:	:	PUNCT
bracis-28406	221	1	bcs	bc	NOUN
bracis-28406	221	2	:	:	PUNCT
bracis-28406	221	3	a	a	DET
bracis-28406	221	4	binary	binary	ADJ
bracis-28406	221	5	cuckoo	cuckoo	NOUN
bracis-28406	221	6	search	search	NOUN
bracis-28406	221	7	algorithm	algorithm	NOUN
bracis-28406	221	8	for	for	ADP
bracis-28406	221	9	feature	feature	NOUN
bracis-28406	221	10	selection	selection	NOUN
bracis-28406	221	11	.	.	PUNCT
bracis-28406	222	1	in	in	ADP
bracis-28406	222	2	:	:	PUNCT
bracis-28406	222	3	ieee	ieee	PROPN
bracis-28406	222	4	international	international	ADJ
bracis-28406	222	5	symposium	symposium	NOUN
bracis-28406	222	6	on	on	ADP
bracis-28406	222	7	circuits	circuit	NOUN
bracis-28406	222	8	and	and	CCONJ
bracis-28406	222	9	systems	system	NOUN
bracis-28406	222	10	,	,	PUNCT
bracis-28406	222	11	pp	pp	ADV
bracis-28406	222	12	.	.	PUNCT
bracis-28406	223	1	465–468	465–468	NUM
bracis-28406	223	2	(	(	PUNCT
bracis-28406	223	3	2013	2013	NUM
bracis-28406	223	4	)	)	PUNCT
bracis-28406	223	5	google	google	PROPN
bracis-28406	223	6	scholar	scholar	NOUN
bracis-28406	223	7	  	  	SPACE
bracis-28406	223	8	wilcoxon	wilcoxon	ADJ
bracis-28406	223	9	,	,	PUNCT
bracis-28406	223	10	f.	f.	PROPN
bracis-28406	223	11	:	:	PUNCT
bracis-28406	223	12	individual	individual	ADJ
bracis-28406	223	13	comparisons	comparison	NOUN
bracis-28406	223	14	by	by	ADP
bracis-28406	223	15	ranking	rank	VERB
bracis-28406	223	16	methods	method	NOUN
bracis-28406	223	17	.	.	PUNCT
bracis-28406	224	1	biometrics	biometric	NOUN
bracis-28406	224	2	bull	bull	PROPN
bracis-28406	224	3	.	.	PUNCT
bracis-28406	225	1	1(6	1(6	NUM
bracis-28406	225	2	)	)	PUNCT
bracis-28406	225	3	,	,	PUNCT
bracis-28406	225	4	80–83	80–83	NUM
bracis-28406	225	5	(	(	PUNCT
bracis-28406	225	6	1945	1945	NUM
bracis-28406	225	7	)	)	PUNCT
bracis-28406	225	8	article	article	NOUN
bracis-28406	225	9	  	  	SPACE
bracis-28406	225	10	google	google	PROPN
bracis-28406	225	11	scholar	scholar	NOUN
bracis-28406	225	12	  	  	SPACE
bracis-28406	225	13	yang	yang	PROPN
bracis-28406	225	14	,	,	PUNCT
bracis-28406	225	15	x.s	x.s	PROPN
bracis-28406	225	16	.	.	PUNCT
bracis-28406	225	17	:	:	PUNCT
bracis-28406	225	18	flower	flower	VERB
bracis-28406	225	19	pollination	pollination	NOUN
bracis-28406	225	20	algorithm	algorithm	NOUN
bracis-28406	225	21	for	for	ADP
bracis-28406	225	22	global	global	ADJ
bracis-28406	225	23	optimization	optimization	NOUN
bracis-28406	225	24	.	.	PUNCT
bracis-28406	226	1	in	in	ADP
bracis-28406	226	2	:	:	PUNCT
bracis-28406	226	3	international	international	ADJ
bracis-28406	226	4	conference	conference	NOUN
bracis-28406	226	5	on	on	ADP
bracis-28406	226	6	unconventional	unconventional	ADJ
bracis-28406	226	7	computing	computing	NOUN
bracis-28406	226	8	and	and	CCONJ
bracis-28406	226	9	natural	natural	ADJ
bracis-28406	226	10	computation	computation	NOUN
bracis-28406	226	11	,	,	PUNCT
bracis-28406	226	12	pp	pp	ADJ
bracis-28406	226	13	.	.	PUNCT
bracis-28406	227	1	240–249	240–249	NUM
bracis-28406	227	2	.	.	PUNCT
bracis-28406	227	3	springer	springer	NOUN
bracis-28406	227	4	(	(	PUNCT
bracis-28406	227	5	2012	2012	NUM
bracis-28406	227	6	)	)	PUNCT
bracis-28406	227	7	.	.	PUNCT
bracis-28406	228	1	https://doi.org/10.1007/978-3-031-03948-5_3	https://doi.org/10.1007/978-3-031-03948-5_3	PROPN
bracis-28406	228	2	yang	yang	PROPN
bracis-28406	228	3	,	,	PUNCT
bracis-28406	228	4	x.s	x.s	PROPN
bracis-28406	228	5	.	.	PROPN
bracis-28406	228	6	,	,	PUNCT
bracis-28406	228	7	gandomi	gandomi	PROPN
bracis-28406	228	8	,	,	PUNCT
bracis-28406	228	9	a.h	a.h	PROPN
bracis-28406	228	10	.	.	PROPN
bracis-28406	228	11	:	:	PUNCT
bracis-28406	228	12	bat	bat	NOUN
bracis-28406	228	13	algorithm	algorithm	NOUN
bracis-28406	228	14	:	:	PUNCT
bracis-28406	228	15	a	a	DET
bracis-28406	228	16	novel	novel	ADJ
bracis-28406	228	17	approach	approach	NOUN
bracis-28406	228	18	for	for	ADP
bracis-28406	228	19	global	global	ADJ
bracis-28406	228	20	engineering	engineering	NOUN
bracis-28406	228	21	optimization	optimization	NOUN
bracis-28406	228	22	.	.	PUNCT
bracis-28406	229	1	eng	eng	PROPN
bracis-28406	229	2	.	.	PUNCT
bracis-28406	230	1	comput	comput	PROPN
bracis-28406	230	2	.	.	PUNCT
bracis-28406	231	1	(	(	PUNCT
bracis-28406	231	2	2012	2012	NUM
bracis-28406	231	3	)	)	PUNCT
bracis-28406	231	4	google	google	PROPN
bracis-28406	231	5	scholar	scholar	NOUN
bracis-28406	231	6	  	  	SPACE
bracis-28406	231	7	download	download	NOUN
bracis-28406	231	8	references	reference	NOUN
bracis-28406	231	9	author	author	NOUN
bracis-28406	231	10	information	information	NOUN
bracis-28406	231	11	authors	author	NOUN
bracis-28406	231	12	and	and	CCONJ
bracis-28406	231	13	affiliations	affiliation	NOUN
bracis-28406	231	14	são	são	PROPN
bracis-28406	231	15	paulo	paulo	PROPN
bracis-28406	231	16	state	state	PROPN
bracis-28406	231	17	university	university	PROPN
bracis-28406	231	18	,	,	PUNCT
bracis-28406	231	19	bauru	bauru	PROPN
bracis-28406	231	20	,	,	PUNCT
bracis-28406	231	21	sp	sp	PROPN
bracis-28406	231	22	,	,	PUNCT
bracis-28406	231	23	brazil	brazil	PROPN
bracis-28406	231	24	luiz	luiz	PROPN
bracis-28406	231	25	fernando	fernando	PROPN
bracis-28406	231	26	merli	merli	PROPN
bracis-28406	231	27	de	de	PROPN
bracis-28406	231	28	oliveira	oliveira	PROPN
bracis-28406	231	29	sementille	sementille	PROPN
bracis-28406	231	30	,	,	PUNCT
bracis-28406	231	31	 	 	SPACE
bracis-28406	231	32	douglas	douglas	PROPN
bracis-28406	231	33	rodrigues	rodrigues	PROPN
bracis-28406	231	34	,	,	PUNCT
bracis-28406	231	35	 	 	SPACE
bracis-28406	231	36	andré	andré	VERB
bracis-28406	231	37	nunes	nunes	PROPN
bracis-28406	231	38	de	de	ADP
bracis-28406	231	39	souuza	souuza	PROPN
bracis-28406	231	40	 	 	SPACE
bracis-28406	231	41	&	&	CCONJ
bracis-28406	231	42	 	 	SPACE
bracis-28406	231	43	joão	joão	PROPN
bracis-28406	231	44	paulo	paulo	PROPN
bracis-28406	231	45	papa	papa	PROPN
bracis-28406	231	46	authors	authors	PROPN
bracis-28406	231	47	luiz	luiz	PROPN
bracis-28406	231	48	fernando	fernando	PROPN
bracis-28406	231	49	merli	merli	PROPN
bracis-28406	231	50	de	de	PROPN
bracis-28406	231	51	oliveira	oliveira	PROPN
bracis-28406	231	52	sementilleview	sementilleview	PROPN
bracis-28406	231	53	author	author	NOUN
bracis-28406	231	54	publications	publication	NOUN
bracis-28406	231	55	search	search	NOUN
bracis-28406	231	56	author	author	NOUN
bracis-28406	231	57	on	on	ADP
bracis-28406	231	58	:	:	PUNCT
bracis-28406	231	59	pubmed	pubmed	PROPN
bracis-28406	231	60	 	 	SPACE
bracis-28406	231	61	google	google	PROPN
bracis-28406	231	62	scholar	scholar	NOUN
bracis-28406	231	63	douglas	douglas	PROPN
bracis-28406	231	64	rodriguesview	rodriguesview	PROPN
bracis-28406	231	65	author	author	NOUN
bracis-28406	231	66	publications	publication	NOUN
bracis-28406	231	67	search	search	NOUN
bracis-28406	231	68	author	author	NOUN
bracis-28406	231	69	on	on	ADP
bracis-28406	231	70	:	:	PUNCT
bracis-28406	231	71	pubmed	pubmed	PROPN
bracis-28406	231	72	 	 	SPACE
bracis-28406	231	73	google	google	PROPN
bracis-28406	231	74	scholar	scholar	NOUN
bracis-28406	231	75	andré	andré	VERB
bracis-28406	231	76	nunes	nunes	PROPN
bracis-28406	231	77	de	de	PROPN
bracis-28406	231	78	souuzaview	souuzaview	NOUN
bracis-28406	231	79	author	author	NOUN
bracis-28406	231	80	publications	publication	NOUN
bracis-28406	231	81	search	search	NOUN
bracis-28406	231	82	author	author	NOUN
bracis-28406	231	83	on	on	ADP
bracis-28406	231	84	:	:	PUNCT
bracis-28406	231	85	pubmed	pubmed	PROPN
bracis-28406	231	86	 	 	SPACE
bracis-28406	231	87	google	google	PROPN
bracis-28406	231	88	scholar	scholar	PROPN
bracis-28406	231	89	joão	joão	PROPN
bracis-28406	231	90	paulo	paulo	PROPN
bracis-28406	231	91	papaview	papaview	PROPN
bracis-28406	231	92	author	author	NOUN
bracis-28406	231	93	publications	publication	NOUN
bracis-28406	231	94	search	search	NOUN
bracis-28406	231	95	author	author	NOUN
bracis-28406	231	96	on	on	ADP
bracis-28406	231	97	:	:	PUNCT
bracis-28406	231	98	pubmed	pubmed	PROPN
bracis-28406	231	99	 	 	SPACE
bracis-28406	231	100	google	google	PROPN
bracis-28406	231	101	scholar	scholar	NOUN
bracis-28406	231	102	corresponding	correspond	VERB
bracis-28406	231	103	author	author	NOUN
bracis-28406	231	104	correspondence	correspondence	NOUN
bracis-28406	231	105	to	to	ADP
bracis-28406	231	106	douglas	douglas	PROPN
bracis-28406	231	107	rodrigues	rodrigues	PROPN
bracis-28406	231	108	.	.	PUNCT
bracis-28406	232	1	editor	editor	NOUN
bracis-28406	232	2	information	information	NOUN
bracis-28406	232	3	editors	editor	NOUN
bracis-28406	232	4	and	and	CCONJ
bracis-28406	232	5	affiliations	affiliation	NOUN
bracis-28406	232	6	federal	federal	PROPN
bracis-28406	232	7	university	university	PROPN
bracis-28406	232	8	of	of	ADP
bracis-28406	232	9	são	são	PROPN
bracis-28406	232	10	carlos	carlos	PROPN
bracis-28406	232	11	,	,	PUNCT
bracis-28406	232	12	são	são	PROPN
bracis-28406	232	13	carlos	carlos	PROPN
bracis-28406	232	14	,	,	PUNCT
bracis-28406	232	15	brazil	brazil	PROPN
bracis-28406	232	16	murilo	murilo	PROPN
bracis-28406	232	17	c.	c.	PROPN
bracis-28406	232	18	naldi	naldi	PROPN
bracis-28406	232	19	centro	centro	PROPN
bracis-28406	232	20	universitario	universitario	PROPN
bracis-28406	232	21	da	da	PROPN
bracis-28406	232	22	fei	fei	PROPN
bracis-28406	232	23	,	,	PUNCT
bracis-28406	232	24	são	são	PROPN
bracis-28406	232	25	bernardo	bernardo	PROPN
bracis-28406	232	26	do	do	AUX
bracis-28406	232	27	campo	campo	PROPN
bracis-28406	232	28	,	,	PUNCT
bracis-28406	232	29	brazil	brazil	PROPN
bracis-28406	232	30	reinaldo	reinaldo	PROPN
bracis-28406	232	31	a.	a.	PROPN
bracis-28406	232	32	c.	c.	PROPN
bracis-28406	232	33	bianchi	bianchi	PROPN
bracis-28406	232	34	rights	right	NOUN
bracis-28406	232	35	and	and	CCONJ
bracis-28406	232	36	permissions	permission	NOUN
bracis-28406	232	37	reprints	reprint	NOUN
bracis-28406	232	38	and	and	CCONJ
bracis-28406	232	39	permissions	permission	VERB
bracis-28406	232	40	copyright	copyright	NOUN
bracis-28406	232	41	information	information	NOUN
bracis-28406	232	42	©	©	ADP
bracis-28406	232	43	2023	2023	NUM
bracis-28406	232	44	the	the	DET
bracis-28406	232	45	author(s	author(s	NOUN
bracis-28406	232	46	)	)	PUNCT
bracis-28406	232	47	,	,	PUNCT
bracis-28406	232	48	under	under	ADP
bracis-28406	232	49	exclusive	exclusive	ADJ
bracis-28406	232	50	license	license	NOUN
bracis-28406	232	51	to	to	ADP
bracis-28406	232	52	springer	springer	NOUN
bracis-28406	232	53	nature	nature	PROPN
bracis-28406	232	54	switzerland	switzerland	PROPN
bracis-28406	232	55	ag	ag	PROPN
bracis-28406	232	56	about	about	ADP
bracis-28406	232	57	this	this	DET
bracis-28406	232	58	paper	paper	NOUN
bracis-28406	232	59	cite	cite	VERB
bracis-28406	232	60	this	this	DET
bracis-28406	232	61	paper	paper	NOUN
bracis-28406	232	62	de	de	PROPN
bracis-28406	232	63	oliveira	oliveira	PROPN
bracis-28406	232	64	sementille	sementille	PROPN
bracis-28406	232	65	,	,	PUNCT
bracis-28406	232	66	l.f.m	l.f.m	PROPN
bracis-28406	232	67	.	.	PROPN
bracis-28406	232	68	,	,	PUNCT
bracis-28406	232	69	rodrigues	rodrigues	PROPN
bracis-28406	232	70	,	,	PUNCT
bracis-28406	232	71	d.	d.	PROPN
bracis-28406	232	72	,	,	PUNCT
bracis-28406	232	73	de	de	PROPN
bracis-28406	232	74	souuza	souuza	PROPN
bracis-28406	232	75	,	,	PUNCT
bracis-28406	232	76	a.n	a.n	PROPN
bracis-28406	232	77	.	.	PROPN
bracis-28406	232	78	,	,	PUNCT
bracis-28406	232	79	papa	papa	PROPN
bracis-28406	232	80	,	,	PUNCT
bracis-28406	232	81	j.p	j.p	PROPN
bracis-28406	232	82	.	.	PROPN
bracis-28406	232	83	(	(	PUNCT
bracis-28406	232	84	2023	2023	NUM
bracis-28406	232	85	)	)	PUNCT
bracis-28406	232	86	.	.	PUNCT
bracis-28406	233	1	binary	binary	ADJ
bracis-28406	233	2	flying	flying	NOUN
bracis-28406	233	3	squirrel	squirrel	NOUN
bracis-28406	233	4	optimizer	optimizer	NOUN
bracis-28406	233	5	for	for	ADP
bracis-28406	233	6	 	 	SPACE
bracis-28406	233	7	feature	feature	NOUN
bracis-28406	233	8	selection	selection	NOUN
bracis-28406	233	9	.	.	PUNCT
bracis-28406	234	1	in	in	ADP
bracis-28406	234	2	:	:	PUNCT
bracis-28406	234	3	naldi	naldi	PROPN
bracis-28406	234	4	,	,	PUNCT
bracis-28406	234	5	m.c	m.c	PROPN
bracis-28406	234	6	.	.	PROPN
bracis-28406	234	7	,	,	PUNCT
bracis-28406	234	8	bianchi	bianchi	PROPN
bracis-28406	234	9	,	,	PUNCT
bracis-28406	234	10	r.a.c	r.a.c	ADP
bracis-28406	234	11	.	.	PUNCT
bracis-28406	234	12	(	(	PUNCT
bracis-28406	234	13	eds	ed	NOUN
bracis-28406	234	14	)	)	PUNCT
bracis-28406	234	15	intelligent	intelligent	ADJ
bracis-28406	234	16	systems	system	NOUN
bracis-28406	234	17	.	.	PUNCT
bracis-28406	235	1	bracis	bracis	PROPN
bracis-28406	235	2	2023	2023	NUM
bracis-28406	235	3	.	.	PUNCT
bracis-28406	236	1	lecture	lecture	NOUN
bracis-28406	236	2	notes	note	NOUN
bracis-28406	236	3	in	in	ADP
bracis-28406	236	4	computer	computer	NOUN
bracis-28406	236	5	science	science	NOUN
bracis-28406	236	6	(	(	PUNCT
bracis-28406	236	7	)	)	PUNCT
bracis-28406	236	8	,	,	PUNCT
bracis-28406	236	9	vol	vol	NOUN
bracis-28406	236	10	14197	14197	NUM
bracis-28406	236	11	.	.	PUNCT
bracis-28406	237	1	springer	springer	NOUN
bracis-28406	237	2	,	,	PUNCT
bracis-28406	237	3	cham	cham	PROPN
bracis-28406	237	4	.	.	PUNCT
bracis-28406	238	1	https://doi.org/10.1007/978-3-031-45392-2_4	https://doi.org/10.1007/978-3-031-45392-2_4	PROPN
bracis-28406	238	2	download	download	PROPN
bracis-28406	238	3	citation	citation	NOUN
bracis-28406	238	4	.ris	.ris	PUNCT
bracis-28406	238	5	.enw	.enw	PROPN
bracis-28406	238	6	.bib	.bib	PUNCT
bracis-28406	239	1	doi	doi	PROPN
bracis-28406	239	2	:	:	PUNCT
bracis-28406	239	3	https://doi.org/10.1007/978-3-031-45392-2_4	https://doi.org/10.1007/978-3-031-45392-2_4	PROPN
bracis-28406	239	4	published	publish	VERB
bracis-28406	239	5	:	:	PUNCT
bracis-28406	239	6	12	12	NUM
bracis-28406	239	7	october	october	PROPN
bracis-28406	239	8	2023	2023	NUM
bracis-28406	239	9	publisher	publisher	NOUN
bracis-28406	239	10	name	name	NOUN
bracis-28406	239	11	:	:	PUNCT
bracis-28406	239	12	springer	springer	NOUN
bracis-28406	239	13	,	,	PUNCT
bracis-28406	239	14	cham	cham	PROPN
bracis-28406	239	15	print	print	PROPN
bracis-28406	239	16	isbn	isbn	PROPN
bracis-28406	239	17	:	:	PUNCT
bracis-28406	239	18	978	978	NUM
bracis-28406	239	19	-	-	SYM
bracis-28406	239	20	3	3	NUM
bracis-28406	239	21	-	-	PUNCT
bracis-28406	239	22	031	031	NUM
bracis-28406	239	23	-	-	PUNCT
bracis-28406	239	24	45391	45391	NUM
bracis-28406	239	25	-	-	SYM
bracis-28406	239	26	5	5	NUM
bracis-28406	239	27	online	online	ADJ
bracis-28406	239	28	isbn	isbn	NOUN
bracis-28406	239	29	:	:	PUNCT
bracis-28406	239	30	978	978	NUM
bracis-28406	239	31	-	-	SYM
bracis-28406	239	32	3	3	NUM
bracis-28406	239	33	-	-	PUNCT
bracis-28406	239	34	031	031	NUM
bracis-28406	239	35	-	-	PUNCT
bracis-28406	239	36	45392	45392	NUM
bracis-28406	239	37	-	-	SYM
bracis-28406	239	38	2	2	NUM
bracis-28406	239	39	ebook	ebook	NOUN
bracis-28406	239	40	packages	package	NOUN
bracis-28406	239	41	:	:	PUNCT
bracis-28406	239	42	computer	computer	NOUN
bracis-28406	239	43	sciencecomputer	sciencecomputer	NOUN
bracis-28406	239	44	science	science	NOUN
bracis-28406	239	45	(	(	PUNCT
bracis-28406	239	46	r0	r0	NOUN
bracis-28406	239	47	)	)	PUNCT
bracis-28406	239	48	share	share	VERB
bracis-28406	239	49	this	this	DET
bracis-28406	239	50	paper	paper	NOUN
bracis-28406	239	51	anyone	anyone	PRON
bracis-28406	239	52	you	you	PRON
bracis-28406	239	53	share	share	VERB
bracis-28406	239	54	the	the	DET
bracis-28406	239	55	following	follow	VERB
bracis-28406	239	56	link	link	NOUN
bracis-28406	239	57	with	with	ADP
bracis-28406	239	58	will	will	AUX
bracis-28406	239	59	be	be	AUX
bracis-28406	239	60	able	able	ADJ
bracis-28406	239	61	to	to	PART
bracis-28406	239	62	read	read	VERB
bracis-28406	239	63	this	this	DET
bracis-28406	239	64	content	content	NOUN
bracis-28406	239	65	:	:	PUNCT
bracis-28406	239	66	get	get	VERB
bracis-28406	239	67	shareable	shareable	ADJ
bracis-28406	239	68	linksorry	linksorry	NOUN
bracis-28406	239	69	,	,	PUNCT
bracis-28406	239	70	a	a	DET
bracis-28406	239	71	shareable	shareable	ADJ
bracis-28406	239	72	link	link	NOUN
bracis-28406	239	73	is	be	AUX
bracis-28406	239	74	not	not	PART
bracis-28406	239	75	currently	currently	ADV
bracis-28406	239	76	available	available	ADJ
bracis-28406	239	77	for	for	ADP
bracis-28406	239	78	this	this	DET
bracis-28406	239	79	article	article	NOUN
bracis-28406	239	80	.	.	PUNCT
bracis-28406	240	1	copy	copy	VERB
bracis-28406	240	2	shareable	shareable	ADJ
bracis-28406	240	3	link	link	NOUN
bracis-28406	240	4	to	to	PART
bracis-28406	240	5	clipboard	clipboard	NOUN
bracis-28406	240	6	provided	provide	VERB
bracis-28406	240	7	by	by	ADP
bracis-28406	240	8	the	the	DET
bracis-28406	240	9	springer	springer	NOUN
bracis-28406	240	10	nature	nature	PROPN
bracis-28406	240	11	sharedit	sharedit	PROPN
bracis-28406	240	12	content	content	NOUN
bracis-28406	240	13	-	-	PUNCT
bracis-28406	240	14	sharing	share	VERB
bracis-28406	240	15	initiative	initiative	NOUN
bracis-28406	240	16	keywords	keyword	NOUN
bracis-28406	240	17	flying	fly	VERB
bracis-28406	240	18	squirrel	squirrel	NOUN
bracis-28406	240	19	optimizer	optimizer	NOUN
bracis-28406	240	20	metaheuristic	metaheuristic	ADJ
bracis-28406	240	21	feature	feature	NOUN
bracis-28406	240	22	selection	selection	NOUN
bracis-28406	240	23	publish	publish	VERB
bracis-28406	240	24	with	with	ADP
bracis-28406	240	25	us	us	PROPN
bracis-28406	240	26	policies	policy	NOUN
bracis-28406	240	27	and	and	CCONJ
bracis-28406	240	28	ethics	ethic	NOUN
bracis-28406	240	29	search	search	NOUN
bracis-28406	240	30	search	search	NOUN
bracis-28406	240	31	by	by	ADP
bracis-28406	240	32	keyword	keyword	NOUN
bracis-28406	240	33	or	or	CCONJ
bracis-28406	240	34	author	author	NOUN
bracis-28406	240	35	search	search	NOUN
bracis-28406	240	36	navigation	navigation	NOUN
bracis-28406	240	37	find	find	VERB
bracis-28406	240	38	a	a	DET
bracis-28406	240	39	journal	journal	NOUN
bracis-28406	240	40	publish	publish	VERB
bracis-28406	240	41	with	with	ADP
bracis-28406	240	42	us	we	PRON
bracis-28406	240	43	track	track	VERB
bracis-28406	240	44	your	your	PRON
bracis-28406	240	45	research	research	NOUN
bracis-28406	240	46	discover	discover	VERB
bracis-28406	240	47	content	content	NOUN
bracis-28406	240	48	journals	journal	NOUN
bracis-28406	240	49	a	a	DET
bracis-28406	240	50	-	-	PUNCT
bracis-28406	240	51	z	z	NOUN
bracis-28406	240	52	books	book	NOUN
bracis-28406	240	53	a	a	DET
bracis-28406	240	54	-	-	PUNCT
bracis-28406	240	55	z	z	NOUN
bracis-28406	240	56	publish	publish	NOUN
bracis-28406	240	57	with	with	ADP
bracis-28406	240	58	us	us	PROPN
bracis-28406	240	59	journal	journal	PROPN
bracis-28406	240	60	finder	finder	PROPN
bracis-28406	240	61	publish	publish	VERB
bracis-28406	240	62	your	your	PRON
bracis-28406	240	63	research	research	NOUN
bracis-28406	240	64	language	language	NOUN
bracis-28406	240	65	editing	edit	VERB
bracis-28406	240	66	open	open	ADJ
bracis-28406	240	67	access	access	NOUN
bracis-28406	240	68	publishing	publishing	NOUN
bracis-28406	240	69	products	product	NOUN
bracis-28406	240	70	and	and	CCONJ
bracis-28406	240	71	services	service	NOUN
bracis-28406	240	72	our	our	PRON
bracis-28406	240	73	products	product	NOUN
bracis-28406	240	74	librarians	librarian	VERB
bracis-28406	240	75	societies	society	NOUN
bracis-28406	240	76	partners	partner	NOUN
bracis-28406	240	77	and	and	CCONJ
bracis-28406	240	78	advertisers	advertiser	NOUN
bracis-28406	240	79	our	our	PRON
bracis-28406	240	80	brands	brand	NOUN
bracis-28406	240	81	springer	springer	NOUN
bracis-28406	240	82	nature	nature	PROPN
bracis-28406	240	83	portfolio	portfolio	PROPN
bracis-28406	240	84	bmc	bmc	PROPN
bracis-28406	240	85	palgrave	palgrave	PROPN
bracis-28406	240	86	macmillan	macmillan	PROPN
bracis-28406	240	87	apress	apress	PROPN
bracis-28406	240	88	discover	discover	VERB
bracis-28406	240	89	your	your	PRON
bracis-28406	240	90	privacy	privacy	NOUN
bracis-28406	240	91	choices	choice	NOUN
bracis-28406	240	92	/	/	SYM
bracis-28406	240	93	manage	manage	NOUN
bracis-28406	240	94	cookies	cookie	NOUN
bracis-28406	240	95	your	your	PRON
bracis-28406	240	96	us	us	PROPN
bracis-28406	241	1	state	state	NOUN
bracis-28406	241	2	privacy	privacy	NOUN
bracis-28406	241	3	rights	right	NOUN
bracis-28406	241	4	accessibility	accessibility	NOUN
bracis-28406	241	5	statement	statement	NOUN
bracis-28406	241	6	terms	term	NOUN
bracis-28406	241	7	and	and	CCONJ
bracis-28406	241	8	conditions	condition	NOUN
bracis-28406	241	9	privacy	privacy	NOUN
bracis-28406	241	10	policy	policy	NOUN
bracis-28406	241	11	help	help	NOUN
bracis-28406	241	12	and	and	CCONJ
bracis-28406	241	13	support	support	VERB
bracis-28406	241	14	legal	legal	ADJ
bracis-28406	241	15	notice	notice	NOUN
bracis-28406	241	16	cancel	cancel	VERB
bracis-28406	241	17	contracts	contract	NOUN
bracis-28406	241	18	here	here	ADV
bracis-28406	241	19	129.74.145.123	129.74.145.123	NUM
bracis-28406	241	20	hesburgh	hesburgh	PROPN
bracis-28406	241	21	library	library	PROPN
bracis-28406	241	22	er	er	INTJ
bracis-28406	241	23	unit	unit	NOUN
bracis-28406	241	24	(	(	PUNCT
bracis-28406	241	25	3005732405	3005732405	NUM
bracis-28406	241	26	)	)	PUNCT
bracis-28406	241	27	northeast	northeast	ADJ
bracis-28406	241	28	research	research	NOUN
bracis-28406	241	29	libraries	library	NOUN
bracis-28406	241	30	(	(	PUNCT
bracis-28406	241	31	nerl	nerl	PROPN
bracis-28406	241	32	)	)	PUNCT
bracis-28406	241	33	(	(	PUNCT
bracis-28406	241	34	8200828607	8200828607	NUM
bracis-28406	241	35	)	)	PUNCT
bracis-28406	241	36	nerl	nerl	VERB
bracis-28406	241	37	ta	ta	X
bracis-28406	241	38	account	account	NOUN
bracis-28406	241	39	(	(	PUNCT
bracis-28406	241	40	3006206169	3006206169	NUM
bracis-28406	241	41	)	)	PUNCT
bracis-28406	241	42	university	university	NOUN
bracis-28406	241	43	of	of	ADP
bracis-28406	241	44	notre	notre	PROPN
bracis-28406	241	45	dame	dame	PROPN
bracis-28406	241	46	hesburgh	hesburgh	PROPN
bracis-28406	241	47	library	library	NOUN
bracis-28406	241	48	(	(	PUNCT
bracis-28406	241	49	3000184373	3000184373	NUM
bracis-28406	241	50	)	)	PUNCT
bracis-28406	242	1	©	©	ADP
bracis-28406	242	2	2025	2025	NUM
bracis-28406	242	3	springer	springer	NOUN
bracis-28406	242	4	nature	nature	NOUN