id	sid	tid	token	lemma	pos
cana-1632	1	1	communications	communication	NOUN
cana-1632	1	2	on	on	ADP
cana-1632	1	3	applied	apply	VERB
cana-1632	1	4	nonlinear	nonlinear	ADJ
cana-1632	1	5	analysis	analysis	NOUN
cana-1632	1	6	issn	issn	NOUN
cana-1632	1	7	:	:	PUNCT
cana-1632	1	8	1074	1074	NUM
cana-1632	1	9	-	-	PUNCT
cana-1632	1	10	133x	133x	NUM
cana-1632	1	11	vol	vol	NOUN
cana-1632	1	12	32	32	NUM
cana-1632	1	13	no	no	NOUN
cana-1632	1	14	.	.	NOUN
cana-1632	1	15	1	1	NUM
cana-1632	1	16	(	(	PUNCT
cana-1632	1	17	2025	2025	NUM
cana-1632	1	18	)	)	PUNCT
cana-1632	1	19	212	212	NUM
cana-1632	1	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1632	1	21	implementation	implementation	NOUN
cana-1632	1	22	of	of	ADP
cana-1632	1	23	optimization	optimization	NOUN
cana-1632	1	24	algorithms	algorithm	NOUN
cana-1632	1	25	in	in	ADP
cana-1632	1	26	electrical	electrical	ADJ
cana-1632	1	27	network	network	NOUN
cana-1632	1	28	design	design	PROPN
cana-1632	1	29	dr	dr	PROPN
cana-1632	1	30	.	.	PROPN
cana-1632	1	31	ramchandra	ramchandra	PROPN
cana-1632	1	32	vasant	vasant	PROPN
cana-1632	1	33	mahadik1	mahadik1	PROPN
cana-1632	1	34	,	,	PUNCT
cana-1632	1	35	shreyas	shreyas	PROPN
cana-1632	1	36	dingankar2	dingankar2	PROPN
cana-1632	1	37	,	,	PUNCT
cana-1632	1	38	dr	dr	PROPN
cana-1632	1	39	.	.	PROPN
cana-1632	1	40	satyawan	satyawan	PROPN
cana-1632	1	41	changadev	changadev	VERB
cana-1632	1	42	hembade3	hembade3	PROPN
cana-1632	1	43	,	,	PUNCT
cana-1632	1	44	dr	dr	PROPN
cana-1632	1	45	.	.	PROPN
cana-1632	1	46	swati	swati	PROPN
cana-1632	1	47	desai4	desai4	PROPN
cana-1632	1	48	,	,	PUNCT
cana-1632	1	49	dharmesh	dharmesh	ADJ
cana-1632	1	50	dhabliya5	dhabliya5	NOUN
cana-1632	1	51	,	,	PUNCT
cana-1632	1	52	vinit	vinit	ADJ
cana-1632	1	53	khetani6	khetani6	NOUN
cana-1632	1	54	1associate	1associate	NUM
cana-1632	1	55	professor	professor	NOUN
cana-1632	1	56	,	,	PUNCT
cana-1632	1	57	bharati	bharati	PROPN
cana-1632	1	58	vidyapeeth(deemed	vidyapeeth(deeme	VERB
cana-1632	1	59	to	to	PART
cana-1632	1	60	be	be	AUX
cana-1632	1	61	university	university	NOUN
cana-1632	1	62	)	)	PUNCT
cana-1632	1	63	institute	institute	PROPN
cana-1632	1	64	of	of	ADP
cana-1632	1	65	management	management	NOUN
cana-1632	1	66	and	and	CCONJ
cana-1632	1	67	entrepreneurship	entrepreneurship	NOUN
cana-1632	1	68	development	development	NOUN
cana-1632	1	69	,	,	PUNCT
cana-1632	1	70	pune-411038	pune-411038	NOUN
cana-1632	1	71	.	.	PUNCT
cana-1632	2	1	ramchandra.mahadik@bharatividyapeeth.edu	ramchandra.mahadik@bharatividyapeeth.edu	NOUN
cana-1632	2	2	2assistant	2assistant	NUM
cana-1632	2	3	professor	professor	NOUN
cana-1632	2	4	,	,	PUNCT
cana-1632	2	5	bharati	bharati	PROPN
cana-1632	2	6	vidyapeeth	vidyapeeth	PROPN
cana-1632	2	7	(	(	PUNCT
cana-1632	2	8	deemed	deem	VERB
cana-1632	2	9	to	to	PART
cana-1632	2	10	be	be	AUX
cana-1632	2	11	university	university	NOUN
cana-1632	2	12	)	)	PUNCT
cana-1632	2	13	institute	institute	PROPN
cana-1632	2	14	of	of	ADP
cana-1632	2	15	management	management	NOUN
cana-1632	2	16	and	and	CCONJ
cana-1632	2	17	entrepreneurship	entrepreneurship	NOUN
cana-1632	2	18	development	development	NOUN
cana-1632	2	19	,	,	PUNCT
cana-1632	2	20	pune-411038	pune-411038	NOUN
cana-1632	2	21	,	,	PUNCT
cana-1632	2	22	shreyas.dingankar@bharatividyapeeth.edu	shreyas.dingankar@bharatividyapeeth.edu	VERB
cana-1632	2	23	3associate	3associate	NUM
cana-1632	2	24	professor	professor	NOUN
cana-1632	2	25	,	,	PUNCT
cana-1632	2	26	bharati	bharati	PROPN
cana-1632	2	27	vidyapeeth(deemed	vidyapeeth(deeme	VERB
cana-1632	2	28	to	to	PART
cana-1632	2	29	be	be	AUX
cana-1632	2	30	university	university	NOUN
cana-1632	2	31	)	)	PUNCT
cana-1632	2	32	institute	institute	PROPN
cana-1632	2	33	of	of	ADP
cana-1632	2	34	management	management	NOUN
cana-1632	2	35	and	and	CCONJ
cana-1632	2	36	entrepreneurship	entrepreneurship	NOUN
cana-1632	2	37	development	development	NOUN
cana-1632	2	38	,	,	PUNCT
cana-1632	2	39	pune-411038	pune-411038	NOUN
cana-1632	2	40	.	.	PUNCT
cana-1632	3	1	satyawan.hembade@bharatividyapeeth.edu	satyawan.hembade@bharatividyapeeth.edu	PROPN
cana-1632	3	2	4assistant	4assistant	NUM
cana-1632	3	3	professor	professor	NOUN
cana-1632	3	4	,	,	PUNCT
cana-1632	3	5	bharati	bharati	PROPN
cana-1632	3	6	vidyapeeth(deemed	vidyapeeth(deeme	VERB
cana-1632	3	7	to	to	PART
cana-1632	3	8	be	be	AUX
cana-1632	3	9	university	university	NOUN
cana-1632	3	10	)	)	PUNCT
cana-1632	3	11	institute	institute	PROPN
cana-1632	3	12	of	of	ADP
cana-1632	3	13	management	management	NOUN
cana-1632	3	14	and	and	CCONJ
cana-1632	3	15	entrepreneurship	entrepreneurship	NOUN
cana-1632	3	16	development	development	NOUN
cana-1632	3	17	,	,	PUNCT
cana-1632	3	18	pune-411038	pune-411038	NOUN
cana-1632	3	19	.	.	PUNCT
cana-1632	4	1	swati.desai@bharatividyapeeth.edu	swati.desai@bharatividyapeeth.edu	PROPN
cana-1632	4	2	5department	5department	NUM
cana-1632	4	3	of	of	ADP
cana-1632	4	4	information	information	NOUN
cana-1632	4	5	technology	technology	NOUN
cana-1632	4	6	,	,	PUNCT
cana-1632	4	7	vishwakarma	vishwakarma	PROPN
cana-1632	4	8	institute	institute	PROPN
cana-1632	4	9	of	of	ADP
cana-1632	4	10	information	information	NOUN
cana-1632	4	11	technology	technology	PROPN
cana-1632	4	12	pune	pune	PROPN
cana-1632	4	13	india	india	PROPN
cana-1632	4	14	.	.	PUNCT
cana-1632	4	15	dharmesh.dhabliya@viit.ac.in	dharmesh.dhabliya@viit.ac.in	NUM
cana-1632	5	1	6cybrix	6cybrix	NUM
cana-1632	5	2	technologies	technology	NOUN
cana-1632	5	3	,	,	PUNCT
cana-1632	5	4	nagpur	nagpur	PROPN
cana-1632	5	5	,	,	PUNCT
cana-1632	5	6	maharashtra	maharashtra	PROPN
cana-1632	5	7	,	,	PUNCT
cana-1632	5	8	india	india	PROPN
cana-1632	5	9	.	.	PUNCT
cana-1632	6	1	vinitkhetani@gmail.com	vinitkhetani@gmail.com	PROPN
cana-1632	6	2	article	article	NOUN
cana-1632	6	3	history	history	NOUN
cana-1632	6	4	:	:	PUNCT
cana-1632	6	5	received	receive	VERB
cana-1632	6	6	:	:	PUNCT
cana-1632	6	7	11	11	NUM
cana-1632	6	8	-	-	SYM
cana-1632	6	9	07	07	NUM
cana-1632	6	10	-	-	PUNCT
cana-1632	6	11	2024	2024	NUM
cana-1632	6	12	revised	revise	VERB
cana-1632	6	13	:	:	PUNCT
cana-1632	6	14	27	27	NUM
cana-1632	6	15	-	-	SYM
cana-1632	6	16	08	08	NUM
cana-1632	6	17	-	-	PUNCT
cana-1632	6	18	2024	2024	NUM
cana-1632	6	19	accepted	accept	VERB
cana-1632	6	20	:	:	PUNCT
cana-1632	6	21	08	08	NUM
cana-1632	6	22	-	-	SYM
cana-1632	6	23	09	09	NUM
cana-1632	6	24	-	-	PUNCT
cana-1632	6	25	2024	2024	NUM
cana-1632	6	26	abstract	abstract	NOUN
cana-1632	6	27	:	:	PUNCT
cana-1632	6	28	the	the	DET
cana-1632	6	29	region	region	NOUN
cana-1632	6	30	of	of	ADP
cana-1632	6	31	electrical	electrical	ADJ
cana-1632	6	32	arrange	arrange	NOUN
cana-1632	6	33	plan	plan	NOUN
cana-1632	6	34	is	be	AUX
cana-1632	6	35	changing	change	VERB
cana-1632	6	36	rapidly	rapidly	ADV
cana-1632	6	37	since	since	SCONJ
cana-1632	6	38	current	current	ADJ
cana-1632	6	39	control	control	NOUN
cana-1632	6	40	frameworks	framework	NOUN
cana-1632	6	41	are	be	AUX
cana-1632	6	42	getting	get	VERB
cana-1632	6	43	more	more	ADV
cana-1632	6	44	complicated	complicated	ADJ
cana-1632	6	45	and	and	CCONJ
cana-1632	6	46	green	green	ADJ
cana-1632	6	47	vitality	vitality	NOUN
cana-1632	6	48	sources	source	NOUN
cana-1632	6	49	are	be	AUX
cana-1632	6	50	being	be	AUX
cana-1632	6	51	included	include	VERB
cana-1632	6	52	.	.	PUNCT
cana-1632	7	1	optimization	optimization	NOUN
cana-1632	7	2	strategies	strategy	NOUN
cana-1632	7	3	are	be	AUX
cana-1632	7	4	exceptionally	exceptionally	ADV
cana-1632	7	5	imperative	imperative	ADJ
cana-1632	7	6	for	for	ADP
cana-1632	7	7	making	make	VERB
cana-1632	7	8	these	these	DET
cana-1632	7	9	systems	system	NOUN
cana-1632	7	10	more	more	ADV
cana-1632	7	11	proficient	proficient	ADJ
cana-1632	7	12	,	,	PUNCT
cana-1632	7	13	dependable	dependable	ADJ
cana-1632	7	14	,	,	PUNCT
cana-1632	7	15	and	and	CCONJ
cana-1632	7	16	long	long	ADV
cana-1632	7	17	-	-	PUNCT
cana-1632	7	18	lasting	last	VERB
cana-1632	7	19	.	.	PUNCT
cana-1632	8	1	this	this	DET
cana-1632	8	2	exposition	exposition	NOUN
cana-1632	8	3	gives	give	VERB
cana-1632	8	4	an	an	DET
cana-1632	8	5	in	in	ADP
cana-1632	8	6	-	-	PUNCT
cana-1632	8	7	depth	depth	NOUN
cana-1632	8	8	see	see	NOUN
cana-1632	8	9	at	at	ADP
cana-1632	8	10	the	the	DET
cana-1632	8	11	diverse	diverse	ADJ
cana-1632	8	12	optimization	optimization	NOUN
cana-1632	8	13	strategies	strategy	NOUN
cana-1632	8	14	utilized	utilize	VERB
cana-1632	8	15	in	in	ADP
cana-1632	8	16	planning	planning	NOUN
cana-1632	8	17	power	power	NOUN
cana-1632	8	18	systems	system	NOUN
cana-1632	8	19	.	.	PUNCT
cana-1632	9	1	classical	classical	ADJ
cana-1632	9	2	strategies	strategy	NOUN
cana-1632	9	3	like	like	ADP
cana-1632	9	4	straight	straight	ADJ
cana-1632	9	5	programming	programming	NOUN
cana-1632	9	6	(	(	PUNCT
cana-1632	9	7	lp	lp	NOUN
cana-1632	9	8	)	)	PUNCT
cana-1632	9	9	,	,	PUNCT
cana-1632	9	10	mixed	mixed	ADJ
cana-1632	9	11	-	-	PUNCT
cana-1632	9	12	integer	integer	NOUN
cana-1632	9	13	straight	straight	ADJ
cana-1632	9	14	programming	programming	NOUN
cana-1632	9	15	(	(	PUNCT
cana-1632	9	16	milp	milp	NOUN
cana-1632	9	17	)	)	PUNCT
cana-1632	9	18	,	,	PUNCT
cana-1632	9	19	and	and	CCONJ
cana-1632	9	20	nonlinear	nonlinear	ADJ
cana-1632	9	21	programming	programming	NOUN
cana-1632	9	22	(	(	PUNCT
cana-1632	9	23	nlp	nlp	NOUN
cana-1632	9	24	)	)	PUNCT
cana-1632	9	25	are	be	AUX
cana-1632	9	26	talked	talk	VERB
cana-1632	9	27	almost	almost	ADV
cana-1632	9	28	,	,	PUNCT
cana-1632	9	29	with	with	ADP
cana-1632	9	30	a	a	DET
cana-1632	9	31	center	center	NOUN
cana-1632	9	32	on	on	ADP
cana-1632	9	33	how	how	SCONJ
cana-1632	9	34	they	they	PRON
cana-1632	9	35	can	can	AUX
cana-1632	9	36	be	be	AUX
cana-1632	9	37	utilized	utilize	VERB
cana-1632	9	38	in	in	ADP
cana-1632	9	39	arranging	arrange	VERB
cana-1632	9	40	,	,	PUNCT
cana-1632	9	41	running	run	VERB
cana-1632	9	42	,	,	PUNCT
cana-1632	9	43	and	and	CCONJ
cana-1632	9	44	developing	develop	VERB
cana-1632	9	45	systems	system	NOUN
cana-1632	9	46	.	.	PUNCT
cana-1632	10	1	the	the	DET
cana-1632	10	2	paper	paper	NOUN
cana-1632	10	3	moreover	moreover	ADV
cana-1632	10	4	talks	talk	VERB
cana-1632	10	5	approximately	approximately	ADV
cana-1632	10	6	heuristic	heuristic	ADJ
cana-1632	10	7	and	and	CCONJ
cana-1632	10	8	metaheuristic	metaheuristic	ADJ
cana-1632	10	9	calculations	calculation	NOUN
cana-1632	10	10	,	,	PUNCT
cana-1632	10	11	such	such	ADJ
cana-1632	10	12	as	as	ADP
cana-1632	10	13	hereditary	hereditary	ADJ
cana-1632	10	14	calculations	calculation	NOUN
cana-1632	10	15	(	(	PUNCT
cana-1632	10	16	ga	ga	NOUN
cana-1632	10	17	)	)	PUNCT
cana-1632	10	18	,	,	PUNCT
cana-1632	10	19	molecule	molecule	NOUN
cana-1632	10	20	swarm	swarm	NOUN
cana-1632	10	21	optimization	optimization	NOUN
cana-1632	10	22	(	(	PUNCT
cana-1632	10	23	pso	pso	NOUN
cana-1632	10	24	)	)	PUNCT
cana-1632	10	25	,	,	PUNCT
cana-1632	10	26	and	and	CCONJ
cana-1632	10	27	insect	insect	VERB
cana-1632	10	28	colony	colony	NOUN
cana-1632	10	29	optimization	optimization	NOUN
cana-1632	10	30	(	(	PUNCT
cana-1632	10	31	aco	aco	PROPN
cana-1632	10	32	)	)	PUNCT
cana-1632	10	33	.	.	PUNCT
cana-1632	11	1	these	these	DET
cana-1632	11	2	calculations	calculation	NOUN
cana-1632	11	3	give	give	VERB
cana-1632	11	4	solid	solid	ADJ
cana-1632	11	5	answers	answer	NOUN
cana-1632	11	6	to	to	ADP
cana-1632	11	7	troublesome	troublesome	ADJ
cana-1632	11	8	,	,	PUNCT
cana-1632	11	9	nonlinear	nonlinear	ADJ
cana-1632	11	10	,	,	PUNCT
cana-1632	11	11	and	and	CCONJ
cana-1632	11	12	multi	multi	ADJ
cana-1632	11	13	-	-	ADJ
cana-1632	11	14	objective	objective	ADJ
cana-1632	11	15	issues	issue	NOUN
cana-1632	11	16	.	.	PUNCT
cana-1632	12	1	it	it	PRON
cana-1632	12	2	is	be	AUX
cana-1632	12	3	additionally	additionally	ADV
cana-1632	12	4	looked	look	VERB
cana-1632	12	5	at	at	ADP
cana-1632	12	6	how	how	SCONJ
cana-1632	12	7	machine	machine	NOUN
cana-1632	12	8	learning	learning	NOUN
cana-1632	12	9	strategies	strategy	NOUN
cana-1632	12	10	can	can	AUX
cana-1632	12	11	be	be	AUX
cana-1632	12	12	utilized	utilize	VERB
cana-1632	12	13	in	in	ADP
cana-1632	12	14	optimization	optimization	NOUN
cana-1632	12	15	forms	form	NOUN
cana-1632	12	16	,	,	PUNCT
cana-1632	12	17	showing	show	VERB
cana-1632	12	18	how	how	SCONJ
cana-1632	12	19	valuable	valuable	ADJ
cana-1632	12	20	they	they	PRON
cana-1632	12	21	might	might	AUX
cana-1632	12	22	be	be	AUX
cana-1632	12	23	for	for	ADP
cana-1632	12	24	prescient	prescient	NOUN
cana-1632	12	25	upkeep	upkeep	NOUN
cana-1632	12	26	,	,	PUNCT
cana-1632	12	27	stack	stack	NOUN
cana-1632	12	28	expectations	expectation	NOUN
cana-1632	12	29	,	,	PUNCT
cana-1632	12	30	and	and	CCONJ
cana-1632	12	31	versatile	versatile	ADJ
cana-1632	12	32	control	control	NOUN
cana-1632	12	33	.	.	PUNCT
cana-1632	13	1	the	the	DET
cana-1632	13	2	think	think	NOUN
cana-1632	13	3	about	about	ADP
cana-1632	13	4	moreover	moreover	ADV
cana-1632	13	5	looks	look	VERB
cana-1632	13	6	at	at	ADP
cana-1632	13	7	the	the	DET
cana-1632	13	8	part	part	NOUN
cana-1632	13	9	of	of	ADP
cana-1632	13	10	progressed	progress	VERB
cana-1632	13	11	optimization	optimization	NOUN
cana-1632	13	12	strategies	strategy	NOUN
cana-1632	13	13	in	in	ADP
cana-1632	13	14	shrewd	shrewd	ADJ
cana-1632	13	15	lattices	lattice	NOUN
cana-1632	13	16	,	,	PUNCT
cana-1632	13	17	centring	centre	VERB
cana-1632	13	18	on	on	ADP
cana-1632	13	19	how	how	SCONJ
cana-1632	13	20	they	they	PRON
cana-1632	13	21	can	can	AUX
cana-1632	13	22	handle	handle	AUX
cana-1632	13	23	disseminated	disseminate	VERB
cana-1632	13	24	vitality	vitality	NOUN
cana-1632	13	25	assets	asset	NOUN
cana-1632	13	26	(	(	PUNCT
cana-1632	13	27	ders	ders	PROPN
cana-1632	13	28	)	)	PUNCT
cana-1632	13	29	,	,	PUNCT
cana-1632	13	30	improve	improve	VERB
cana-1632	13	31	demand	demand	NOUN
cana-1632	13	32	response	response	NOUN
cana-1632	13	33	,	,	PUNCT
cana-1632	13	34	and	and	CCONJ
cana-1632	13	35	keep	keep	VERB
cana-1632	13	36	the	the	DET
cana-1632	13	37	network	network	NOUN
cana-1632	13	38	steady	steady	ADJ
cana-1632	13	39	.	.	PUNCT
cana-1632	14	1	by	by	ADP
cana-1632	14	2	comparing	compare	VERB
cana-1632	14	3	these	these	DET
cana-1632	14	4	calculations	calculation	NOUN
cana-1632	14	5	,	,	PUNCT
cana-1632	14	6	we	we	PRON
cana-1632	14	7	are	be	AUX
cana-1632	14	8	able	able	ADJ
cana-1632	14	9	learn	learn	VERB
cana-1632	14	10	more	more	ADV
cana-1632	14	11	around	around	ADP
cana-1632	14	12	how	how	SCONJ
cana-1632	14	13	well	well	ADV
cana-1632	14	14	they	they	PRON
cana-1632	14	15	work	work	VERB
cana-1632	14	16	,	,	PUNCT
cana-1632	14	17	how	how	SCONJ
cana-1632	14	18	rapidly	rapidly	ADV
cana-1632	14	19	they	they	PRON
cana-1632	14	20	can	can	AUX
cana-1632	14	21	be	be	AUX
cana-1632	14	22	computed	compute	VERB
cana-1632	14	23	,	,	PUNCT
cana-1632	14	24	and	and	CCONJ
cana-1632	14	25	how	how	SCONJ
cana-1632	14	26	well	well	ADV
cana-1632	14	27	they	they	PRON
cana-1632	14	28	fit	fit	VERB
cana-1632	14	29	distinctive	distinctive	ADJ
cana-1632	14	30	plan	plan	NOUN
cana-1632	14	31	circumstances	circumstance	NOUN
cana-1632	14	32	.	.	PUNCT
cana-1632	15	1	issues	issue	NOUN
cana-1632	15	2	like	like	ADP
cana-1632	15	3	scale	scale	NOUN
cana-1632	15	4	,	,	PUNCT
cana-1632	15	5	meeting	meeting	NOUN
cana-1632	15	6	,	,	PUNCT
cana-1632	15	7	and	and	CCONJ
cana-1632	15	8	handling	handle	VERB
cana-1632	15	9	stack	stack	NOUN
cana-1632	15	10	are	be	AUX
cana-1632	15	11	talked	talk	VERB
cana-1632	15	12	almost	almost	ADV
cana-1632	15	13	,	,	PUNCT
cana-1632	15	14	along	along	ADP
cana-1632	15	15	side	side	NOUN
cana-1632	15	16	conceivable	conceivable	ADJ
cana-1632	15	17	ways	way	NOUN
cana-1632	15	18	to	to	PART
cana-1632	15	19	induce	induce	VERB
cana-1632	15	20	around	around	ADP
cana-1632	15	21	them	they	PRON
cana-1632	15	22	.	.	PUNCT
cana-1632	16	1	at	at	ADP
cana-1632	16	2	the	the	DET
cana-1632	16	3	conclusion	conclusion	NOUN
cana-1632	16	4	of	of	ADP
cana-1632	16	5	the	the	DET
cana-1632	16	6	think	think	NOUN
cana-1632	16	7	about	about	ADP
cana-1632	16	8	,	,	PUNCT
cana-1632	16	9	it	it	PRON
cana-1632	16	10	talks	talk	VERB
cana-1632	16	11	approximately	approximately	ADV
cana-1632	16	12	conceivable	conceivable	ADJ
cana-1632	16	13	bearings	bearing	NOUN
cana-1632	16	14	for	for	ADP
cana-1632	16	15	future	future	ADJ
cana-1632	16	16	inquire	inquire	NOUN
cana-1632	16	17	about	about	ADP
cana-1632	16	18	,	,	PUNCT
cana-1632	16	19	such	such	ADJ
cana-1632	16	20	as	as	ADP
cana-1632	16	21	making	make	VERB
cana-1632	16	22	blended	blend	VERB
cana-1632	16	23	calculations	calculation	NOUN
cana-1632	16	24	,	,	PUNCT
cana-1632	16	25	progressing	progress	VERB
cana-1632	16	26	execution	execution	NOUN
cana-1632	16	27	in	in	ADP
cana-1632	16	28	genuine	genuine	ADJ
cana-1632	16	29	time	time	NOUN
cana-1632	16	30	,	,	PUNCT
cana-1632	16	31	and	and	CCONJ
cana-1632	16	32	utilizing	utilize	VERB
cana-1632	16	33	unused	unused	ADJ
cana-1632	16	34	innovations	innovation	NOUN
cana-1632	16	35	like	like	ADP
cana-1632	16	36	blockchain	blockchain	PROPN
cana-1632	16	37	and	and	CCONJ
cana-1632	16	38	the	the	DET
cana-1632	16	39	web	web	NOUN
cana-1632	16	40	of	of	ADP
cana-1632	16	41	things	thing	NOUN
cana-1632	16	42	(	(	PUNCT
cana-1632	16	43	iot	iot	NOUN
cana-1632	16	44	)	)	PUNCT
cana-1632	16	45	.	.	PUNCT
cana-1632	17	1	this	this	DET
cana-1632	17	2	paper	paper	NOUN
cana-1632	17	3	needs	need	VERB
cana-1632	17	4	to	to	PART
cana-1632	17	5	be	be	AUX
cana-1632	17	6	a	a	DET
cana-1632	17	7	valuable	valuable	ADJ
cana-1632	17	8	asset	asset	NOUN
cana-1632	17	9	for	for	ADP
cana-1632	17	10	understudies	understudy	NOUN
cana-1632	17	11	and	and	CCONJ
cana-1632	17	12	professionals	professional	NOUN
cana-1632	17	13	who	who	PRON
cana-1632	17	14	need	need	VERB
cana-1632	17	15	to	to	PART
cana-1632	17	16	progress	progress	VERB
cana-1632	17	17	the	the	DET
cana-1632	17	18	execution	execution	NOUN
cana-1632	17	19	and	and	CCONJ
cana-1632	17	20	unwavering	unwavere	VERB
cana-1632	17	21	quality	quality	NOUN
cana-1632	17	22	of	of	ADP
cana-1632	17	23	current	current	ADJ
cana-1632	17	24	and	and	CCONJ
cana-1632	17	25	future	future	ADJ
cana-1632	17	26	electrical	electrical	ADJ
cana-1632	17	27	systems	system	NOUN
cana-1632	17	28	by	by	ADP
cana-1632	17	29	giving	give	VERB
cana-1632	17	30	a	a	DET
cana-1632	17	31	total	total	ADJ
cana-1632	17	32	layout	layout	NOUN
cana-1632	17	33	of	of	ADP
cana-1632	17	34	optimization	optimization	NOUN
cana-1632	17	35	strategies	strategy	NOUN
cana-1632	17	36	in	in	ADP
cana-1632	17	37	electrical	electrical	ADJ
cana-1632	17	38	arrange	arrange	NOUN
cana-1632	17	39	plan	plan	NOUN
cana-1632	17	40	.	.	PUNCT
cana-1632	18	1	keywords	keyword	NOUN
cana-1632	18	2	:	:	PUNCT
cana-1632	18	3	electrical	electrical	ADJ
cana-1632	18	4	organize	organize	NOUN
cana-1632	18	5	plan	plan	NOUN
cana-1632	18	6	,	,	PUNCT
cana-1632	18	7	optimization	optimization	NOUN
cana-1632	18	8	calculations	calculation	NOUN
cana-1632	18	9	,	,	PUNCT
cana-1632	18	10	direct	direct	ADJ
cana-1632	18	11	programming	programming	NOUN
cana-1632	18	12	(	(	PUNCT
cana-1632	18	13	lp	lp	NOUN
cana-1632	18	14	)	)	PUNCT
cana-1632	18	15	,	,	PUNCT
cana-1632	18	16	mixed	mixed	ADJ
cana-1632	18	17	-	-	PUNCT
cana-1632	18	18	integer	integer	NOUN
cana-1632	18	19	straight	straight	ADJ
cana-1632	18	20	programming	programming	NOUN
cana-1632	18	21	(	(	PUNCT
cana-1632	18	22	milp	milp	NOUN
cana-1632	18	23	)	)	PUNCT
cana-1632	18	24	,	,	PUNCT
cana-1632	18	25	nonlinear	nonlinear	ADJ
cana-1632	18	26	programming	programming	NOUN
cana-1632	18	27	(	(	PUNCT
cana-1632	18	28	nlp	nlp	NOUN
cana-1632	18	29	)	)	PUNCT
cana-1632	18	30	.	.	PUNCT
cana-1632	19	1	communications	communication	NOUN
cana-1632	19	2	on	on	ADP
cana-1632	19	3	applied	apply	VERB
cana-1632	19	4	nonlinear	nonlinear	ADJ
cana-1632	19	5	analysis	analysis	NOUN
cana-1632	19	6	issn	issn	NOUN
cana-1632	19	7	:	:	PUNCT
cana-1632	19	8	1074	1074	NUM
cana-1632	19	9	-	-	PUNCT
cana-1632	19	10	133x	133x	NUM
cana-1632	19	11	vol	vol	NOUN
cana-1632	19	12	32	32	NUM
cana-1632	19	13	no	no	NOUN
cana-1632	19	14	.	.	NOUN
cana-1632	19	15	1	1	NUM
cana-1632	19	16	(	(	PUNCT
cana-1632	19	17	2025	2025	NUM
cana-1632	19	18	)	)	PUNCT
cana-1632	19	19	213	213	NUM
cana-1632	19	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1632	19	21	1	1	NUM
cana-1632	19	22	.	.	PUNCT
cana-1632	19	23	introduction	introduction	NOUN
cana-1632	19	24	since	since	SCONJ
cana-1632	19	25	of	of	ADP
cana-1632	19	26	more	more	ADJ
cana-1632	19	27	individuals	individual	NOUN
cana-1632	19	28	utilizing	utilize	VERB
cana-1632	19	29	power	power	NOUN
cana-1632	19	30	,	,	PUNCT
cana-1632	19	31	the	the	DET
cana-1632	19	32	utilize	utilize	NOUN
cana-1632	19	33	of	of	ADP
cana-1632	19	34	green	green	ADJ
cana-1632	19	35	vitality	vitality	NOUN
cana-1632	19	36	sources	source	NOUN
cana-1632	19	37	,	,	PUNCT
cana-1632	19	38	and	and	CCONJ
cana-1632	19	39	the	the	DET
cana-1632	19	40	advancement	advancement	NOUN
cana-1632	19	41	of	of	ADP
cana-1632	19	42	savvy	savvy	ADJ
cana-1632	19	43	lattice	lattice	PROPN
cana-1632	19	44	innovations	innovation	NOUN
cana-1632	19	45	,	,	PUNCT
cana-1632	19	46	the	the	DET
cana-1632	19	47	arranging	arranging	NOUN
cana-1632	19	48	and	and	CCONJ
cana-1632	19	49	running	run	VERB
cana-1632	19	50	of	of	ADP
cana-1632	19	51	electrical	electrical	ADJ
cana-1632	19	52	systems	system	NOUN
cana-1632	19	53	have	have	AUX
cana-1632	19	54	gotten	get	VERB
cana-1632	19	55	to	to	PART
cana-1632	19	56	be	be	AUX
cana-1632	19	57	more	more	ADV
cana-1632	19	58	troublesome	troublesome	ADJ
cana-1632	19	59	.	.	PUNCT
cana-1632	20	1	optimization	optimization	NOUN
cana-1632	20	2	strategies	strategy	NOUN
cana-1632	20	3	have	have	AUX
cana-1632	20	4	gotten	get	VERB
cana-1632	20	5	to	to	PART
cana-1632	20	6	be	be	AUX
cana-1632	20	7	exceptionally	exceptionally	ADV
cana-1632	20	8	critical	critical	ADJ
cana-1632	20	9	for	for	ADP
cana-1632	20	10	managing	manage	VERB
cana-1632	20	11	with	with	ADP
cana-1632	20	12	these	these	DET
cana-1632	20	13	issues	issue	NOUN
cana-1632	20	14	since	since	SCONJ
cana-1632	20	15	they	they	PRON
cana-1632	20	16	make	make	VERB
cana-1632	20	17	overseeing	oversee	VERB
cana-1632	20	18	power	power	NOUN
cana-1632	20	19	systems	system	NOUN
cana-1632	20	20	more	more	ADV
cana-1632	20	21	proficient	proficient	ADJ
cana-1632	20	22	,	,	PUNCT
cana-1632	20	23	solid	solid	ADJ
cana-1632	20	24	,	,	PUNCT
cana-1632	20	25	and	and	CCONJ
cana-1632	20	26	long	long	ADV
cana-1632	20	27	-	-	PUNCT
cana-1632	20	28	lasting	last	VERB
cana-1632	20	29	.	.	PUNCT
cana-1632	21	1	this	this	DET
cana-1632	21	2	exposition	exposition	NOUN
cana-1632	21	3	looks	look	VERB
cana-1632	21	4	at	at	ADP
cana-1632	21	5	the	the	DET
cana-1632	21	6	diverse	diverse	ADJ
cana-1632	21	7	sorts	sort	NOUN
cana-1632	21	8	of	of	ADP
cana-1632	21	9	optimization	optimization	NOUN
cana-1632	21	10	calculations	calculation	NOUN
cana-1632	21	11	that	that	PRON
cana-1632	21	12	are	be	AUX
cana-1632	21	13	utilized	utilize	VERB
cana-1632	21	14	to	to	PART
cana-1632	21	15	arrange	arrange	VERB
cana-1632	21	16	and	and	CCONJ
cana-1632	21	17	run	run	VERB
cana-1632	21	18	power	power	NOUN
cana-1632	21	19	systems	system	NOUN
cana-1632	21	20	,	,	PUNCT
cana-1632	21	21	centring	centre	VERB
cana-1632	21	22	on	on	ADP
cana-1632	21	23	how	how	SCONJ
cana-1632	21	24	critical	critical	ADJ
cana-1632	21	25	they	they	PRON
cana-1632	21	26	are	be	AUX
cana-1632	21	27	in	in	ADP
cana-1632	21	28	present	present	ADJ
cana-1632	21	29	day	day	NOUN
cana-1632	21	30	control	control	NOUN
cana-1632	21	31	frameworks	framework	NOUN
cana-1632	21	32	.	.	PUNCT
cana-1632	22	1	electrical	electrical	ADJ
cana-1632	22	2	systems	system	NOUN
cana-1632	22	3	are	be	AUX
cana-1632	22	4	a	a	DET
cana-1632	22	5	critical	critical	ADJ
cana-1632	22	6	portion	portion	NOUN
cana-1632	22	7	of	of	ADP
cana-1632	22	8	present	present	ADJ
cana-1632	22	9	day	day	NOUN
cana-1632	22	10	society	society	NOUN
cana-1632	22	11	since	since	SCONJ
cana-1632	22	12	they	they	PRON
cana-1632	22	13	make	make	VERB
cana-1632	22	14	it	it	PRON
cana-1632	22	15	conceivable	conceivable	ADJ
cana-1632	22	16	to	to	PART
cana-1632	22	17	create	create	VERB
cana-1632	22	18	,	,	PUNCT
cana-1632	22	19	transmit	transmit	VERB
cana-1632	22	20	,	,	PUNCT
cana-1632	22	21	and	and	CCONJ
cana-1632	22	22	convey	convey	VERB
cana-1632	22	23	vitality	vitality	NOUN
cana-1632	22	24	.	.	PUNCT
cana-1632	23	1	within	within	ADP
cana-1632	23	2	the	the	DET
cana-1632	23	3	past	past	NOUN
cana-1632	23	4	,	,	PUNCT
cana-1632	23	5	these	these	DET
cana-1632	23	6	systems	system	NOUN
cana-1632	23	7	were	be	AUX
cana-1632	23	8	generally	generally	ADV
cana-1632	23	9	built	build	VERB
cana-1632	23	10	and	and	CCONJ
cana-1632	23	11	run	run	VERB
cana-1632	23	12	utilizing	utilize	VERB
cana-1632	23	13	unsurprising	unsurprising	ADJ
cana-1632	23	14	strategies	strategy	NOUN
cana-1632	23	15	and	and	CCONJ
cana-1632	23	16	fundamental	fundamental	ADJ
cana-1632	23	17	optimization	optimization	NOUN
cana-1632	23	18	methods	method	NOUN
cana-1632	23	19	.	.	PUNCT
cana-1632	24	1	but	but	CCONJ
cana-1632	24	2	things	thing	NOUN
cana-1632	24	3	have	have	AUX
cana-1632	24	4	changed	change	VERB
cana-1632	24	5	a	a	DET
cana-1632	24	6	part	part	NOUN
cana-1632	24	7	since	since	SCONJ
cana-1632	24	8	green	green	ADJ
cana-1632	24	9	vitality	vitality	NOUN
cana-1632	24	10	sources	source	NOUN
cana-1632	24	11	like	like	ADP
cana-1632	24	12	sun	sun	NOUN
cana-1632	24	13	powered	power	VERB
cana-1632	24	14	and	and	CCONJ
cana-1632	24	15	wind	wind	NOUN
cana-1632	24	16	control	control	NOUN
cana-1632	24	17	have	have	AUX
cana-1632	24	18	been	be	AUX
cana-1632	24	19	included	include	VERB
cana-1632	24	20	.	.	PUNCT
cana-1632	25	1	these	these	DET
cana-1632	25	2	sources	source	NOUN
cana-1632	25	3	make	make	VERB
cana-1632	25	4	the	the	DET
cana-1632	25	5	framework	framework	NOUN
cana-1632	25	6	more	more	ADV
cana-1632	25	7	variable	variable	ADJ
cana-1632	25	8	and	and	CCONJ
cana-1632	25	9	unusual	unusual	ADJ
cana-1632	25	10	.	.	PUNCT
cana-1632	26	1	also	also	ADV
cana-1632	26	2	,	,	PUNCT
cana-1632	26	3	the	the	DET
cana-1632	26	4	developing	develop	VERB
cana-1632	26	5	utilize	utilize	NOUN
cana-1632	26	6	of	of	ADP
cana-1632	26	7	disseminated	disseminate	VERB
cana-1632	26	8	vitality	vitality	NOUN
cana-1632	26	9	assets	asset	NOUN
cana-1632	26	10	(	(	PUNCT
cana-1632	26	11	ders	ders	PROPN
cana-1632	26	12	)	)	PUNCT
cana-1632	26	13	and	and	CCONJ
cana-1632	26	14	the	the	DET
cana-1632	26	15	begin	begin	NOUN
cana-1632	26	16	of	of	ADP
cana-1632	26	17	request	request	NOUN
cana-1632	26	18	reaction	reaction	NOUN
cana-1632	26	19	programs	program	NOUN
cana-1632	26	20	cruel	cruel	ADJ
cana-1632	26	21	that	that	SCONJ
cana-1632	26	22	the	the	DET
cana-1632	26	23	lattice	lattice	NOUN
cana-1632	26	24	needs	need	VERB
cana-1632	26	25	more	more	ADV
cana-1632	26	26	progressed	progress	VERB
cana-1632	26	27	optimization	optimization	NOUN
cana-1632	26	28	strategies	strategy	NOUN
cana-1632	26	29	to	to	PART
cana-1632	26	30	remain	remain	VERB
cana-1632	26	31	stable	stable	ADJ
cana-1632	26	32	and	and	CCONJ
cana-1632	26	33	effective	effective	ADJ
cana-1632	26	34	.	.	PUNCT
cana-1632	27	1	within	within	ADP
cana-1632	27	2	the	the	DET
cana-1632	27	3	arranging	arranging	NOUN
cana-1632	27	4	of	of	ADP
cana-1632	27	5	power	power	NOUN
cana-1632	27	6	systems	system	NOUN
cana-1632	27	7	,	,	PUNCT
cana-1632	27	8	straight	straight	ADJ
cana-1632	27	9	programming	programming	NOUN
cana-1632	27	10	(	(	PUNCT
cana-1632	27	11	lp	lp	NOUN
cana-1632	27	12	)	)	PUNCT
cana-1632	27	13	,	,	PUNCT
cana-1632	27	14	mixed	mixed	ADJ
cana-1632	27	15	-	-	PUNCT
cana-1632	27	16	integer	integer	NOUN
cana-1632	27	17	straight	straight	ADJ
cana-1632	27	18	programming	programming	NOUN
cana-1632	27	19	(	(	PUNCT
cana-1632	27	20	milp	milp	NOUN
cana-1632	27	21	)	)	PUNCT
cana-1632	27	22	,	,	PUNCT
cana-1632	27	23	and	and	CCONJ
cana-1632	27	24	nonlinear	nonlinear	ADJ
cana-1632	27	25	programming	programming	NOUN
cana-1632	27	26	(	(	PUNCT
cana-1632	27	27	nlp	nlp	NOUN
cana-1632	27	28	)	)	PUNCT
cana-1632	27	29	are	be	AUX
cana-1632	27	30	a	a	DET
cana-1632	27	31	few	few	ADJ
cana-1632	27	32	of	of	ADP
cana-1632	27	33	the	the	DET
cana-1632	27	34	foremost	foremost	ADJ
cana-1632	27	35	common	common	ADJ
cana-1632	27	36	classical	classical	ADJ
cana-1632	27	37	optimization	optimization	NOUN
cana-1632	27	38	strategies	strategy	NOUN
cana-1632	27	39	.	.	PUNCT
cana-1632	28	1	these	these	DET
cana-1632	28	2	strategies	strategy	NOUN
cana-1632	28	3	donate	donate	VERB
cana-1632	28	4	you	you	PRON
cana-1632	28	5	organized	organize	VERB
cana-1632	28	6	ways	way	NOUN
cana-1632	28	7	to	to	PART
cana-1632	28	8	settle	settle	VERB
cana-1632	28	9	diverse	diverse	ADJ
cana-1632	28	10	issues	issue	NOUN
cana-1632	28	11	that	that	PRON
cana-1632	28	12	come	come	VERB
cana-1632	28	13	up	up	ADP
cana-1632	28	14	with	with	ADP
cana-1632	28	15	arranging	arrange	VERB
cana-1632	28	16	,	,	PUNCT
cana-1632	28	17	running	running	NOUN
cana-1632	28	18	,	,	PUNCT
cana-1632	28	19	and	and	CCONJ
cana-1632	28	20	developing	develop	VERB
cana-1632	28	21	a	a	DET
cana-1632	28	22	arrange	arrange	NOUN
cana-1632	28	23	.	.	PUNCT
cana-1632	29	1	lp	lp	NOUN
cana-1632	29	2	and	and	CCONJ
cana-1632	29	3	milp	milp	PROPN
cana-1632	29	4	are	be	AUX
cana-1632	29	5	exceptionally	exceptionally	ADV
cana-1632	29	6	great	great	ADJ
cana-1632	29	7	at	at	ADP
cana-1632	29	8	understanding	understand	VERB
cana-1632	29	9	straight	straight	ADJ
cana-1632	29	10	and	and	CCONJ
cana-1632	29	11	mixed	mixed	ADJ
cana-1632	29	12	-	-	PUNCT
cana-1632	29	13	integer	integer	NOUN
cana-1632	29	14	issues	issue	NOUN
cana-1632	29	15	,	,	PUNCT
cana-1632	29	16	separately	separately	ADV
cana-1632	29	17	.	.	PUNCT
cana-1632	30	1	they	they	PRON
cana-1632	30	2	provide	provide	VERB
cana-1632	30	3	correct	correct	ADJ
cana-1632	30	4	answers	answer	NOUN
cana-1632	30	5	for	for	ADP
cana-1632	30	6	making	make	VERB
cana-1632	30	7	organize	organize	VERB
cana-1632	30	8	setups	setup	NOUN
cana-1632	30	9	,	,	PUNCT
cana-1632	30	10	stack	stack	NOUN
cana-1632	30	11	stream	stream	NOUN
cana-1632	30	12	,	,	PUNCT
cana-1632	30	13	and	and	CCONJ
cana-1632	30	14	asset	asset	NOUN
cana-1632	30	15	sharing	sharing	NOUN
cana-1632	30	16	work	work	NOUN
cana-1632	30	17	superior	superior	ADJ
cana-1632	30	18	.	.	PUNCT
cana-1632	31	1	nlp	nlp	NOUN
cana-1632	31	2	takes	take	VERB
cana-1632	31	3	these	these	DET
cana-1632	31	4	abilities	ability	NOUN
cana-1632	31	5	and	and	CCONJ
cana-1632	31	6	applies	apply	VERB
cana-1632	31	7	them	they	PRON
cana-1632	31	8	to	to	ADP
cana-1632	31	9	nonlinear	nonlinear	ADJ
cana-1632	31	10	issues	issue	NOUN
cana-1632	31	11	,	,	PUNCT
cana-1632	31	12	like	like	ADP
cana-1632	31	13	making	make	VERB
cana-1632	31	14	strides	stride	NOUN
cana-1632	31	15	receptive	receptive	ADJ
cana-1632	31	16	control	control	NOUN
cana-1632	31	17	,	,	PUNCT
cana-1632	31	18	controlling	control	VERB
cana-1632	31	19	voltage	voltage	NOUN
cana-1632	31	20	,	,	PUNCT
cana-1632	31	21	and	and	CCONJ
cana-1632	31	22	improving	improve	VERB
cana-1632	31	23	systems	system	NOUN
cana-1632	31	24	.	.	PUNCT
cana-1632	32	1	beside	beside	ADP
cana-1632	32	2	classical	classical	ADJ
cana-1632	32	3	strategies	strategy	NOUN
cana-1632	32	4	,	,	PUNCT
cana-1632	32	5	heuristic	heuristic	ADJ
cana-1632	32	6	and	and	CCONJ
cana-1632	32	7	metaheuristic	metaheuristic	ADJ
cana-1632	32	8	calculations	calculation	NOUN
cana-1632	32	9	have	have	AUX
cana-1632	32	10	ended	end	VERB
cana-1632	32	11	up	up	ADP
cana-1632	32	12	well	well	ADV
cana-1632	32	13	known	know	VERB
cana-1632	32	14	since	since	SCONJ
cana-1632	32	15	they	they	PRON
cana-1632	32	16	can	can	AUX
cana-1632	32	17	unravel	unravel	VERB
cana-1632	32	18	troublesome	troublesome	ADJ
cana-1632	32	19	,	,	PUNCT
cana-1632	32	20	nonlinear	nonlinear	ADJ
cana-1632	32	21	,	,	PUNCT
cana-1632	32	22	and	and	CCONJ
cana-1632	32	23	multi	multi	ADJ
cana-1632	32	24	-	-	ADJ
cana-1632	32	25	objective	objective	ADJ
cana-1632	32	26	issues	issue	NOUN
cana-1632	32	27	that	that	PRON
cana-1632	32	28	conventional	conventional	ADJ
cana-1632	32	29	optimization	optimization	NOUN
cana-1632	32	30	methods	method	NOUN
cana-1632	32	31	frequently	frequently	ADV
cana-1632	32	32	come	come	VERB
cana-1632	32	33	up	up	ADP
cana-1632	32	34	short	short	ADV
cana-1632	32	35	to	to	PART
cana-1632	32	36	unravel	unravel	VERB
cana-1632	32	37	.	.	PUNCT
cana-1632	33	1	a	a	DET
cana-1632	33	2	few	few	ADJ
cana-1632	33	3	of	of	ADP
cana-1632	33	4	the	the	DET
cana-1632	33	5	foremost	foremost	ADJ
cana-1632	33	6	common	common	ADJ
cana-1632	33	7	metaheuristics	metaheuristic	NOUN
cana-1632	33	8	utilized	utilize	VERB
cana-1632	33	9	in	in	ADP
cana-1632	33	10	electrical	electrical	ADJ
cana-1632	33	11	organize	organize	NOUN
cana-1632	33	12	plan	plan	NOUN
cana-1632	33	13	are	be	AUX
cana-1632	33	14	hereditary	hereditary	ADJ
cana-1632	33	15	calculations	calculation	NOUN
cana-1632	33	16	(	(	PUNCT
cana-1632	33	17	ga	ga	NOUN
cana-1632	33	18	)	)	PUNCT
cana-1632	33	19	,	,	PUNCT
cana-1632	33	20	molecule	molecule	NOUN
cana-1632	33	21	swarm	swarm	NOUN
cana-1632	33	22	optimization	optimization	NOUN
cana-1632	33	23	(	(	PUNCT
cana-1632	33	24	pso	pso	NOUN
cana-1632	33	25	)	)	PUNCT
cana-1632	33	26	,	,	PUNCT
cana-1632	33	27	and	and	CCONJ
cana-1632	33	28	ant	ant	ADJ
cana-1632	33	29	colony	colony	NOUN
cana-1632	33	30	optimization	optimization	NOUN
cana-1632	33	31	(	(	PUNCT
cana-1632	33	32	aco	aco	PROPN
cana-1632	33	33	)	)	PUNCT
cana-1632	33	34	.	.	PUNCT
cana-1632	34	1	these	these	DET
cana-1632	34	2	calculations	calculation	NOUN
cana-1632	34	3	utilize	utilize	VERB
cana-1632	34	4	normal	normal	ADJ
cana-1632	34	5	forms	form	NOUN
cana-1632	34	6	and	and	CCONJ
cana-1632	34	7	gather	gather	VERB
cana-1632	34	8	behaviours	behaviour	NOUN
cana-1632	34	9	to	to	PART
cana-1632	34	10	rapidly	rapidly	ADV
cana-1632	34	11	explore	explore	VERB
cana-1632	34	12	for	for	ADP
cana-1632	34	13	arrangements	arrangement	NOUN
cana-1632	34	14	in	in	ADP
cana-1632	34	15	a	a	DET
cana-1632	34	16	huge	huge	ADJ
cana-1632	34	17	issue	issue	NOUN
cana-1632	34	18	space	space	NOUN
cana-1632	34	19	.	.	PUNCT
cana-1632	35	1	the	the	DET
cana-1632	35	2	arrangements	arrangement	NOUN
cana-1632	35	3	they	they	PRON
cana-1632	35	4	discover	discover	VERB
cana-1632	35	5	are	be	AUX
cana-1632	35	6	solid	solid	ADJ
cana-1632	35	7	and	and	CCONJ
cana-1632	35	8	near	near	ADJ
cana-1632	35	9	to	to	ADP
cana-1632	35	10	being	be	AUX
cana-1632	35	11	perfect	perfect	ADJ
cana-1632	35	12	.	.	PUNCT
cana-1632	36	1	for	for	SCONJ
cana-1632	36	2	case	case	NOUN
cana-1632	36	3	,	,	PUNCT
cana-1632	36	4	ga	ga	PROPN
cana-1632	36	5	employments	employment	NOUN
cana-1632	36	6	characteristic	characteristic	ADJ
cana-1632	36	7	selection	selection	NOUN
cana-1632	36	8	and	and	CCONJ
cana-1632	36	9	hereditary	hereditary	ADJ
cana-1632	36	10	qualities	quality	NOUN
cana-1632	36	11	to	to	PART
cana-1632	36	12	discover	discover	VERB
cana-1632	36	13	arrangements	arrangement	NOUN
cana-1632	36	14	that	that	PRON
cana-1632	36	15	work	work	VERB
cana-1632	36	16	superior	superior	ADJ
cana-1632	36	17	over	over	ADP
cana-1632	36	18	time	time	NOUN
cana-1632	36	19	,	,	PUNCT
cana-1632	36	20	whereas	whereas	SCONJ
cana-1632	36	21	pso	pso	NOUN
cana-1632	36	22	and	and	CCONJ
cana-1632	36	23	aco	aco	PROPN
cana-1632	36	24	see	see	VERB
cana-1632	36	25	at	at	ADP
cana-1632	36	26	how	how	SCONJ
cana-1632	36	27	winged	wing	VERB
cana-1632	36	28	creatures	creature	NOUN
cana-1632	36	29	and	and	CCONJ
cana-1632	36	30	ants	ant	NOUN
cana-1632	36	31	interact	interact	VERB
cana-1632	36	32	with	with	ADP
cana-1632	36	33	each	each	DET
cana-1632	36	34	other	other	ADJ
cana-1632	36	35	to	to	PART
cana-1632	36	36	discover	discover	VERB
cana-1632	36	37	the	the	DET
cana-1632	36	38	finest	fine	ADJ
cana-1632	36	39	arrange	arrange	NOUN
cana-1632	36	40	setups	setup	NOUN
cana-1632	36	41	and	and	CCONJ
cana-1632	36	42	asset	asset	NOUN
cana-1632	36	43	assignments	assignment	NOUN
cana-1632	36	44	.	.	PUNCT
cana-1632	37	1	utilizing	utilize	VERB
cana-1632	37	2	machine	machine	NOUN
cana-1632	37	3	learning	learning	NOUN
cana-1632	37	4	strategies	strategy	NOUN
cana-1632	37	5	at	at	ADP
cana-1632	37	6	the	the	DET
cana-1632	37	7	side	side	NOUN
cana-1632	37	8	optimization	optimization	NOUN
cana-1632	37	9	calculations	calculation	NOUN
cana-1632	37	10	may	may	AUX
cana-1632	37	11	be	be	AUX
cana-1632	37	12	a	a	DET
cana-1632	37	13	enormous	enormous	ADJ
cana-1632	37	14	step	step	NOUN
cana-1632	37	15	forward	forward	ADV
cana-1632	37	16	in	in	ADP
cana-1632	37	17	planning	planning	NOUN
cana-1632	37	18	power	power	NOUN
cana-1632	37	19	systems	system	NOUN
cana-1632	37	20	.	.	PUNCT
cana-1632	38	1	machine	machine	NOUN
cana-1632	38	2	learning	learning	NOUN
cana-1632	38	3	models	model	NOUN
cana-1632	38	4	,	,	PUNCT
cana-1632	38	5	like	like	ADP
cana-1632	38	6	neural	neural	ADJ
cana-1632	38	7	systems	system	NOUN
cana-1632	38	8	,	,	PUNCT
cana-1632	38	9	support	support	NOUN
cana-1632	38	10	vector	vector	NOUN
cana-1632	38	11	machines	machine	NOUN
cana-1632	38	12	,	,	PUNCT
cana-1632	38	13	and	and	CCONJ
cana-1632	38	14	support	support	NOUN
cana-1632	38	15	learning	learning	NOUN
cana-1632	38	16	,	,	PUNCT
cana-1632	38	17	can	can	AUX
cana-1632	38	18	offer	offer	VERB
cana-1632	38	19	assistance	assistance	NOUN
cana-1632	38	20	with	with	ADP
cana-1632	38	21	optimization	optimization	NOUN
cana-1632	38	22	by	by	ADP
cana-1632	38	23	giving	give	VERB
cana-1632	38	24	us	we	PRON
cana-1632	38	25	the	the	DET
cana-1632	38	26	capacity	capacity	NOUN
cana-1632	38	27	to	to	PART
cana-1632	38	28	foresee	foresee	VERB
cana-1632	38	29	end	end	NOUN
cana-1632	38	30	of	of	ADP
cana-1632	38	31	,	,	PUNCT
cana-1632	38	32	the	the	DET
cana-1632	38	33	make	make	VERB
cana-1632	38	34	choices	choice	NOUN
cana-1632	38	35	in	in	ADP
cana-1632	38	36	genuine	genuine	ADJ
cana-1632	38	37	time	time	NOUN
cana-1632	38	38	,	,	PUNCT
cana-1632	38	39	and	and	CCONJ
cana-1632	38	40	utilize	utilize	VERB
cana-1632	38	41	adaptable	adaptable	ADJ
cana-1632	38	42	control	control	NOUN
cana-1632	38	43	.	.	PUNCT
cana-1632	39	1	it	it	PRON
cana-1632	39	2	is	be	AUX
cana-1632	39	3	particularly	particularly	ADV
cana-1632	39	4	accommodating	accommodate	VERB
cana-1632	39	5	to	to	PART
cana-1632	39	6	utilize	utilize	VERB
cana-1632	39	7	these	these	DET
cana-1632	39	8	strategies	strategy	NOUN
cana-1632	39	9	in	in	ADP
cana-1632	39	10	prescient	prescient	NOUN
cana-1632	39	11	support	support	NOUN
cana-1632	39	12	,	,	PUNCT
cana-1632	39	13	stack	stack	VERB
cana-1632	39	14	expectations	expectation	NOUN
cana-1632	39	15	,	,	PUNCT
cana-1632	39	16	and	and	CCONJ
cana-1632	39	17	energetic	energetic	ADJ
cana-1632	39	18	optimization	optimization	NOUN
cana-1632	39	19	,	,	PUNCT
cana-1632	39	20	as	as	SCONJ
cana-1632	39	21	they	they	PRON
cana-1632	39	22	can	can	AUX
cana-1632	39	23	make	make	VERB
cana-1632	39	24	power	power	NOUN
cana-1632	39	25	systems	system	NOUN
cana-1632	39	26	much	much	ADV
cana-1632	39	27	more	more	ADV
cana-1632	39	28	solid	solid	ADJ
cana-1632	39	29	and	and	CCONJ
cana-1632	39	30	effective	effective	ADJ
cana-1632	39	31	.	.	PUNCT
cana-1632	40	1	shrewd	shrewd	ADJ
cana-1632	40	2	framework	framework	NOUN
cana-1632	40	3	innovations	innovation	NOUN
cana-1632	40	4	make	make	VERB
cana-1632	40	5	the	the	DET
cana-1632	40	6	require	require	NOUN
cana-1632	40	7	for	for	ADP
cana-1632	40	8	more	more	ADJ
cana-1632	40	9	complex	complex	ADJ
cana-1632	40	10	optimization	optimization	NOUN
cana-1632	40	11	strategies	strategy	NOUN
cana-1632	40	12	indeed	indeed	ADV
cana-1632	40	13	more	more	ADV
cana-1632	40	14	prominent	prominent	ADJ
cana-1632	40	15	.	.	PUNCT
cana-1632	41	1	shrewd	shrewd	ADJ
cana-1632	41	2	lattices	lattice	NOUN
cana-1632	41	3	utilize	utilize	VERB
cana-1632	41	4	advanced	advanced	ADJ
cana-1632	41	5	communication	communication	NOUN
cana-1632	41	6	,	,	PUNCT
cana-1632	41	7	mechanical	mechanical	ADJ
cana-1632	41	8	autonomy	autonomy	NOUN
cana-1632	41	9	,	,	PUNCT
cana-1632	41	10	and	and	CCONJ
cana-1632	41	11	progressed	progress	VERB
cana-1632	41	12	information	information	NOUN
cana-1632	41	13	to	to	PART
cana-1632	41	14	form	form	VERB
cana-1632	41	15	lattice	lattice	NOUN
cana-1632	41	16	forms	form	NOUN
cana-1632	41	17	more	more	ADV
cana-1632	41	18	dependable	dependable	ADJ
cana-1632	41	19	and	and	CCONJ
cana-1632	41	20	effective	effective	ADJ
cana-1632	41	21	.	.	PUNCT
cana-1632	42	1	optimization	optimization	NOUN
cana-1632	42	2	calculations	calculation	NOUN
cana-1632	42	3	are	be	AUX
cana-1632	42	4	exceptionally	exceptionally	ADV
cana-1632	42	5	vital	vital	ADJ
cana-1632	42	6	for	for	ADP
cana-1632	42	7	dealing	deal	VERB
cana-1632	42	8	with	with	ADP
cana-1632	42	9	the	the	DET
cana-1632	42	10	numerous	numerous	ADJ
cana-1632	42	11	parts	part	NOUN
cana-1632	42	12	of	of	ADP
cana-1632	42	13	shrewd	shrewd	ADJ
cana-1632	42	14	frameworks	framework	NOUN
cana-1632	42	15	,	,	PUNCT
cana-1632	42	16	like	like	ADP
cana-1632	42	17	putting	put	VERB
cana-1632	42	18	in	in	ADP
cana-1632	42	19	ders	der	NOUN
cana-1632	42	20	,	,	PUNCT
cana-1632	42	21	making	make	VERB
cana-1632	42	22	request	request	NOUN
cana-1632	42	23	reaction	reaction	NOUN
cana-1632	42	24	programs	program	NOUN
cana-1632	42	25	work	work	VERB
cana-1632	42	26	together	together	ADV
cana-1632	42	27	,	,	PUNCT
cana-1632	42	28	and	and	CCONJ
cana-1632	42	29	communications	communication	NOUN
cana-1632	42	30	on	on	ADP
cana-1632	42	31	applied	apply	VERB
cana-1632	42	32	nonlinear	nonlinear	ADJ
cana-1632	42	33	analysis	analysis	NOUN
cana-1632	42	34	issn	issn	NOUN
cana-1632	42	35	:	:	PUNCT
cana-1632	42	36	1074	1074	NUM
cana-1632	42	37	-	-	PUNCT
cana-1632	42	38	133x	133x	NUM
cana-1632	42	39	vol	vol	NOUN
cana-1632	42	40	32	32	NUM
cana-1632	42	41	no	no	NOUN
cana-1632	42	42	.	.	NOUN
cana-1632	42	43	1	1	NUM
cana-1632	42	44	(	(	PUNCT
cana-1632	42	45	2025	2025	NUM
cana-1632	42	46	)	)	PUNCT
cana-1632	42	47	214	214	NUM
cana-1632	42	48	https://internationalpubls.com	https://internationalpubls.com	X
cana-1632	43	1	making	make	VERB
cana-1632	43	2	the	the	DET
cana-1632	43	3	foremost	foremost	NOUN
cana-1632	43	4	of	of	ADP
cana-1632	43	5	vitality	vitality	NOUN
cana-1632	43	6	capacity	capacity	NOUN
cana-1632	43	7	frameworks	framework	NOUN
cana-1632	43	8	.	.	PUNCT
cana-1632	44	1	they	they	PRON
cana-1632	44	2	make	make	VERB
cana-1632	44	3	it	it	PRON
cana-1632	44	4	conceivable	conceivable	ADJ
cana-1632	44	5	to	to	PART
cana-1632	44	6	observe	observe	VERB
cana-1632	44	7	,	,	PUNCT
cana-1632	44	8	control	control	NOUN
cana-1632	44	9	,	,	PUNCT
cana-1632	44	10	and	and	CCONJ
cana-1632	44	11	make	make	VERB
cana-1632	44	12	strides	stride	NOUN
cana-1632	44	13	framework	framework	NOUN
cana-1632	44	14	operations	operation	NOUN
cana-1632	44	15	in	in	ADP
cana-1632	44	16	genuine	genuine	ADJ
cana-1632	44	17	time	time	NOUN
cana-1632	44	18	,	,	PUNCT
cana-1632	44	19	which	which	PRON
cana-1632	44	20	keeps	keep	VERB
cana-1632	44	21	the	the	DET
cana-1632	44	22	organize	organize	NOUN
cana-1632	44	23	steady	steady	ADJ
cana-1632	44	24	and	and	CCONJ
cana-1632	44	25	able	able	ADJ
cana-1632	44	26	to	to	PART
cana-1632	44	27	alter	alter	VERB
cana-1632	44	28	to	to	ADP
cana-1632	44	29	changing	change	VERB
cana-1632	44	30	circumstances	circumstance	NOUN
cana-1632	44	31	.	.	PUNCT
cana-1632	45	1	indeed	indeed	ADV
cana-1632	45	2	in	in	ADP
cana-1632	45	3	spite	spite	NOUN
cana-1632	45	4	of	of	ADP
cana-1632	45	5	the	the	DET
cana-1632	45	6	fact	fact	NOUN
cana-1632	45	7	that	that	SCONJ
cana-1632	45	8	there	there	PRON
cana-1632	45	9	have	have	AUX
cana-1632	45	10	been	be	AUX
cana-1632	45	11	advancements	advancement	NOUN
cana-1632	45	12	,	,	PUNCT
cana-1632	45	13	there	there	PRON
cana-1632	45	14	are	be	VERB
cana-1632	45	15	still	still	ADV
cana-1632	45	16	a	a	DET
cana-1632	45	17	few	few	ADJ
cana-1632	45	18	issues	issue	NOUN
cana-1632	45	19	with	with	ADP
cana-1632	45	20	utilizing	utilize	VERB
cana-1632	45	21	optimization	optimization	NOUN
cana-1632	45	22	strategies	strategy	NOUN
cana-1632	45	23	to	to	PART
cana-1632	45	24	construct	construct	VERB
cana-1632	45	25	power	power	NOUN
cana-1632	45	26	systems	system	NOUN
cana-1632	45	27	.	.	PUNCT
cana-1632	46	1	there	there	PRON
cana-1632	46	2	are	be	VERB
cana-1632	46	3	a	a	DET
cana-1632	46	4	parcel	parcel	NOUN
cana-1632	46	5	of	of	ADP
cana-1632	46	6	issues	issue	NOUN
cana-1632	46	7	,	,	PUNCT
cana-1632	46	8	like	like	ADP
cana-1632	46	9	scale	scale	NOUN
cana-1632	46	10	,	,	PUNCT
cana-1632	46	11	meeting	meeting	NOUN
cana-1632	46	12	,	,	PUNCT
cana-1632	46	13	computing	compute	VERB
cana-1632	46	14	stack	stack	NOUN
cana-1632	46	15	,	,	PUNCT
cana-1632	46	16	and	and	CCONJ
cana-1632	46	17	the	the	DET
cana-1632	46	18	require	require	NOUN
cana-1632	46	19	for	for	ADP
cana-1632	46	20	real	real	ADJ
cana-1632	46	21	-	-	PUNCT
cana-1632	46	22	time	time	NOUN
cana-1632	46	23	answers	answer	NOUN
cana-1632	46	24	.	.	PUNCT
cana-1632	47	1	more	more	ADV
cana-1632	47	2	effective	effective	ADJ
cana-1632	47	3	algorithms	algorithm	NOUN
cana-1632	47	4	,	,	PUNCT
cana-1632	47	5	blended	blend	VERB
cana-1632	47	6	strategies	strategy	NOUN
cana-1632	47	7	that	that	PRON
cana-1632	47	8	use	use	VERB
cana-1632	47	9	the	the	DET
cana-1632	47	10	best	good	ADJ
cana-1632	47	11	parts	part	NOUN
cana-1632	47	12	of	of	ADP
cana-1632	47	13	numerous	numerous	ADJ
cana-1632	47	14	strategies	strategy	NOUN
cana-1632	47	15	,	,	PUNCT
cana-1632	47	16	and	and	CCONJ
cana-1632	47	17	the	the	DET
cana-1632	47	18	utilize	utilize	NOUN
cana-1632	47	19	of	of	ADP
cana-1632	47	20	modern	modern	ADJ
cana-1632	47	21	innovations	innovation	NOUN
cana-1632	47	22	like	like	ADP
cana-1632	47	23	blockchain	blockchain	PROPN
cana-1632	47	24	and	and	CCONJ
cana-1632	47	25	the	the	DET
cana-1632	47	26	web	web	NOUN
cana-1632	47	27	of	of	ADP
cana-1632	47	28	things	thing	NOUN
cana-1632	47	29	(	(	PUNCT
cana-1632	47	30	iot	iot	NOUN
cana-1632	47	31	)	)	PUNCT
cana-1632	47	32	to	to	PART
cana-1632	47	33	make	make	VERB
cana-1632	47	34	strides	stride	NOUN
cana-1632	47	35	information	information	NOUN
cana-1632	47	36	security	security	NOUN
cana-1632	47	37	and	and	CCONJ
cana-1632	47	38	association	association	NOUN
cana-1632	47	39	are	be	AUX
cana-1632	47	40	all	all	PRON
cana-1632	47	41	required	require	VERB
cana-1632	47	42	to	to	PART
cana-1632	47	43	bargain	bargain	VERB
cana-1632	47	44	with	with	ADP
cana-1632	47	45	these	these	DET
cana-1632	47	46	problems	problem	NOUN
cana-1632	47	47	.	.	PUNCT
cana-1632	48	1	optimization	optimization	NOUN
cana-1632	48	2	calculations	calculation	NOUN
cana-1632	48	3	are	be	AUX
cana-1632	48	4	an	an	DET
cana-1632	48	5	vital	vital	ADJ
cana-1632	48	6	portion	portion	NOUN
cana-1632	48	7	of	of	ADP
cana-1632	48	8	both	both	DET
cana-1632	48	9	building	build	VERB
cana-1632	48	10	and	and	CCONJ
cana-1632	48	11	running	run	VERB
cana-1632	48	12	advanced	advanced	ADJ
cana-1632	48	13	power	power	NOUN
cana-1632	48	14	systems	system	NOUN
cana-1632	48	15	.	.	PUNCT
cana-1632	49	1	the	the	DET
cana-1632	49	2	objective	objective	NOUN
cana-1632	49	3	of	of	ADP
cana-1632	49	4	this	this	PRON
cana-1632	49	5	think	think	NOUN
cana-1632	49	6	about	about	ADP
cana-1632	49	7	is	be	AUX
cana-1632	49	8	to	to	PART
cana-1632	49	9	grant	grant	VERB
cana-1632	49	10	a	a	DET
cana-1632	49	11	total	total	ADJ
cana-1632	49	12	see	see	NOUN
cana-1632	49	13	at	at	ADP
cana-1632	49	14	the	the	DET
cana-1632	49	15	distinctive	distinctive	ADJ
cana-1632	49	16	optimization	optimization	NOUN
cana-1632	49	17	strategies	strategy	NOUN
cana-1632	49	18	utilized	utilize	VERB
cana-1632	49	19	in	in	ADP
cana-1632	49	20	planning	planning	NOUN
cana-1632	49	21	power	power	NOUN
cana-1632	49	22	systems	system	NOUN
cana-1632	49	23	,	,	PUNCT
cana-1632	49	24	centring	centre	VERB
cana-1632	49	25	on	on	ADP
cana-1632	49	26	their	their	PRON
cana-1632	49	27	employments	employment	NOUN
cana-1632	49	28	,	,	PUNCT
cana-1632	49	29	benefits	benefit	NOUN
cana-1632	49	30	,	,	PUNCT
cana-1632	49	31	and	and	CCONJ
cana-1632	49	32	issues	issue	NOUN
cana-1632	49	33	.	.	PUNCT
cana-1632	50	1	analysts	analyst	NOUN
cana-1632	50	2	and	and	CCONJ
cana-1632	50	3	specialists	specialist	NOUN
cana-1632	50	4	can	can	AUX
cana-1632	50	5	make	make	VERB
cana-1632	50	6	way	way	NOUN
cana-1632	50	7	better	well	ADJ
cana-1632	50	8	plans	plan	NOUN
cana-1632	50	9	for	for	ADP
cana-1632	50	10	moving	move	VERB
cana-1632	50	11	forward	forward	ADV
cana-1632	50	12	the	the	DET
cana-1632	50	13	execution	execution	NOUN
cana-1632	50	14	and	and	CCONJ
cana-1632	50	15	toughness	toughness	NOUN
cana-1632	50	16	of	of	ADP
cana-1632	50	17	power	power	NOUN
cana-1632	50	18	systems	system	NOUN
cana-1632	50	19	by	by	ADP
cana-1632	50	20	learning	learn	VERB
cana-1632	50	21	almost	almost	ADV
cana-1632	50	22	the	the	DET
cana-1632	50	23	qualities	quality	NOUN
cana-1632	50	24	and	and	CCONJ
cana-1632	50	25	shortcomings	shortcoming	NOUN
cana-1632	50	26	of	of	ADP
cana-1632	50	27	these	these	DET
cana-1632	50	28	programs	program	NOUN
cana-1632	50	29	.	.	PUNCT
cana-1632	51	1	this	this	PRON
cana-1632	51	2	will	will	AUX
cana-1632	51	3	lead	lead	VERB
cana-1632	51	4	to	to	ADP
cana-1632	51	5	a	a	DET
cana-1632	51	6	more	more	ADV
cana-1632	51	7	economical	economical	ADJ
cana-1632	51	8	and	and	CCONJ
cana-1632	51	9	dependable	dependable	ADJ
cana-1632	51	10	vitality	vitality	NOUN
cana-1632	51	11	future	future	NOUN
cana-1632	51	12	.	.	PUNCT
cana-1632	52	1	2	2	X
cana-1632	52	2	.	.	X
cana-1632	52	3	related	relate	VERB
cana-1632	52	4	work	work	NOUN
cana-1632	52	5	this	this	DET
cana-1632	52	6	article	article	NOUN
cana-1632	52	7	appears	appear	VERB
cana-1632	52	8	the	the	DET
cana-1632	52	9	assortment	assortment	NOUN
cana-1632	52	10	of	of	ADP
cana-1632	52	11	strategies	strategy	NOUN
cana-1632	52	12	that	that	PRON
cana-1632	52	13	can	can	AUX
cana-1632	52	14	be	be	AUX
cana-1632	52	15	utilized	utilize	VERB
cana-1632	52	16	to	to	PART
cana-1632	52	17	create	create	VERB
cana-1632	52	18	power	power	NOUN
cana-1632	52	19	systems	system	NOUN
cana-1632	52	20	more	more	ADV
cana-1632	52	21	productive	productive	ADJ
cana-1632	52	22	,	,	PUNCT
cana-1632	52	23	solid	solid	ADJ
cana-1632	52	24	,	,	PUNCT
cana-1632	52	25	and	and	CCONJ
cana-1632	52	26	long	long	ADV
cana-1632	52	27	-	-	PUNCT
cana-1632	52	28	lasting	last	VERB
cana-1632	52	29	.	.	PUNCT
cana-1632	53	1	there	there	PRON
cana-1632	53	2	are	be	VERB
cana-1632	53	3	a	a	DET
cana-1632	53	4	part	part	NOUN
cana-1632	53	5	of	of	ADP
cana-1632	53	6	distinctive	distinctive	ADJ
cana-1632	53	7	ranges	range	NOUN
cana-1632	53	8	,	,	PUNCT
cana-1632	53	9	strategies	strategy	NOUN
cana-1632	53	10	,	,	PUNCT
cana-1632	53	11	comes	come	VERB
cana-1632	53	12	about	about	ADP
cana-1632	53	13	,	,	PUNCT
cana-1632	53	14	benefits	benefit	NOUN
cana-1632	53	15	,	,	PUNCT
cana-1632	53	16	and	and	CCONJ
cana-1632	53	17	issues	issue	NOUN
cana-1632	53	18	that	that	PRON
cana-1632	53	19	can	can	AUX
cana-1632	53	20	happen	happen	VERB
cana-1632	53	21	when	when	SCONJ
cana-1632	53	22	optimization	optimization	NOUN
cana-1632	53	23	calculations	calculation	NOUN
cana-1632	53	24	are	be	AUX
cana-1632	53	25	utilized	utilize	VERB
cana-1632	53	26	in	in	ADP
cana-1632	53	27	electrical	electrical	ADJ
cana-1632	53	28	arrange	arrange	NOUN
cana-1632	53	29	plan	plan	NOUN
cana-1632	53	30	.	.	PUNCT
cana-1632	54	1	this	this	DET
cana-1632	54	2	survey	survey	NOUN
cana-1632	54	3	brings	bring	VERB
cana-1632	54	4	together	together	ADV
cana-1632	54	5	the	the	DET
cana-1632	54	6	distinctive	distinctive	ADJ
cana-1632	54	7	inquire	inquire	NOUN
cana-1632	54	8	about	about	ADP
cana-1632	54	9	ventures	venture	NOUN
cana-1632	54	10	and	and	CCONJ
cana-1632	54	11	concepts	concept	NOUN
cana-1632	54	12	that	that	PRON
cana-1632	54	13	have	have	AUX
cana-1632	54	14	been	be	AUX
cana-1632	54	15	investigated	investigate	VERB
cana-1632	54	16	in	in	ADP
cana-1632	54	17	this	this	DET
cana-1632	54	18	range	range	NOUN
cana-1632	54	19	.	.	PUNCT
cana-1632	55	1	it	it	PRON
cana-1632	55	2	gives	give	VERB
cana-1632	55	3	a	a	DET
cana-1632	55	4	full	full	ADJ
cana-1632	55	5	picture	picture	NOUN
cana-1632	55	6	of	of	ADP
cana-1632	55	7	how	how	SCONJ
cana-1632	55	8	these	these	DET
cana-1632	55	9	strategies	strategy	NOUN
cana-1632	55	10	move	move	VERB
cana-1632	55	11	forward	forward	ADV
cana-1632	55	12	the	the	DET
cana-1632	55	13	plan	plan	NOUN
cana-1632	55	14	and	and	CCONJ
cana-1632	55	15	operation	operation	NOUN
cana-1632	55	16	of	of	ADP
cana-1632	55	17	current	current	ADJ
cana-1632	55	18	control	control	NOUN
cana-1632	55	19	frameworks	framework	NOUN
cana-1632	55	20	[	[	X
cana-1632	55	21	1	1	NUM
cana-1632	55	22	]	]	PUNCT
cana-1632	55	23	.	.	PUNCT
cana-1632	56	1	straight	straight	ADJ
cana-1632	56	2	programming	programming	NOUN
cana-1632	56	3	(	(	PUNCT
cana-1632	56	4	lp	lp	NOUN
cana-1632	56	5	)	)	PUNCT
cana-1632	56	6	and	and	CCONJ
cana-1632	56	7	mixed	mixed	ADJ
cana-1632	56	8	-	-	PUNCT
cana-1632	56	9	integer	integer	NOUN
cana-1632	56	10	direct	direct	ADJ
cana-1632	56	11	programming	programming	NOUN
cana-1632	56	12	(	(	PUNCT
cana-1632	56	13	milp	milp	ADJ
cana-1632	56	14	)	)	PUNCT
cana-1632	56	15	are	be	AUX
cana-1632	56	16	regularly	regularly	ADV
cana-1632	56	17	utilized	utilize	VERB
cana-1632	56	18	in	in	ADP
cana-1632	56	19	ponder	ponder	NOUN
cana-1632	56	20	that	that	SCONJ
cana-1632	56	21	plans	plan	VERB
cana-1632	56	22	and	and	CCONJ
cana-1632	56	23	develops	develop	VERB
cana-1632	56	24	systems	system	NOUN
cana-1632	56	25	.	.	PUNCT
cana-1632	57	1	these	these	DET
cana-1632	57	2	essential	essential	ADJ
cana-1632	57	3	optimization	optimization	NOUN
cana-1632	57	4	strategies	strategy	NOUN
cana-1632	57	5	offer	offer	VERB
cana-1632	57	6	assistance	assistance	NOUN
cana-1632	57	7	come	come	VERB
cana-1632	57	8	up	up	ADP
cana-1632	57	9	with	with	ADP
cana-1632	57	10	organized	organized	ADJ
cana-1632	57	11	and	and	CCONJ
cana-1632	57	12	exact	exact	ADJ
cana-1632	57	13	plans	plan	NOUN
cana-1632	57	14	for	for	AUX
cana-1632	57	15	organize	organize	VERB
cana-1632	57	16	development	development	NOUN
cana-1632	57	17	that	that	PRON
cana-1632	57	18	consider	consider	VERB
cana-1632	57	19	control	control	NOUN
cana-1632	57	20	capacities	capacity	NOUN
cana-1632	57	21	and	and	CCONJ
cana-1632	57	22	stack	stack	VERB
cana-1632	57	23	requests	request	NOUN
cana-1632	57	24	[	[	X
cana-1632	57	25	2	2	NUM
cana-1632	57	26	]	]	PUNCT
cana-1632	57	27	.	.	PUNCT
cana-1632	58	1	the	the	PRON
cana-1632	58	2	comes	come	VERB
cana-1632	58	3	about	about	ADV
cana-1632	58	4	appear	appear	VERB
cana-1632	58	5	that	that	SCONJ
cana-1632	58	6	these	these	DET
cana-1632	58	7	strategies	strategy	NOUN
cana-1632	58	8	are	be	AUX
cana-1632	58	9	great	great	ADJ
cana-1632	58	10	at	at	ADP
cana-1632	58	11	making	making	AUX
cana-1632	58	12	organize	organize	VERB
cana-1632	58	13	setups	setup	NOUN
cana-1632	58	14	and	and	CCONJ
cana-1632	58	15	asset	asset	NOUN
cana-1632	58	16	allotments	allotment	NOUN
cana-1632	58	17	work	work	VERB
cana-1632	58	18	superior	superior	ADJ
cana-1632	58	19	.	.	PUNCT
cana-1632	59	1	in	in	ADP
cana-1632	59	2	any	any	DET
cana-1632	59	3	case	case	NOUN
cana-1632	59	4	,	,	PUNCT
cana-1632	59	5	they	they	PRON
cana-1632	59	6	have	have	VERB
cana-1632	59	7	issues	issue	NOUN
cana-1632	59	8	with	with	ADP
cana-1632	59	9	development	development	NOUN
cana-1632	59	10	when	when	SCONJ
cana-1632	59	11	utilized	utilize	VERB
cana-1632	59	12	on	on	ADP
cana-1632	59	13	enormous	enormous	ADJ
cana-1632	59	14	systems	system	NOUN
cana-1632	59	15	,	,	PUNCT
cana-1632	59	16	and	and	CCONJ
cana-1632	59	17	they	they	PRON
cana-1632	59	18	are	be	AUX
cana-1632	59	19	difficult	difficult	ADJ
cana-1632	59	20	to	to	PART
cana-1632	59	21	apply	apply	VERB
cana-1632	59	22	in	in	ADP
cana-1632	59	23	expansive	expansive	ADJ
cana-1632	59	24	control	control	NOUN
cana-1632	59	25	frameworks	framework	NOUN
cana-1632	59	26	since	since	SCONJ
cana-1632	59	27	they	they	PRON
cana-1632	59	28	are	be	AUX
cana-1632	59	29	so	so	ADV
cana-1632	59	30	complicated	complicated	ADJ
cana-1632	59	31	.	.	PUNCT
cana-1632	60	1	nonlinear	nonlinear	ADJ
cana-1632	60	2	programming	programming	NOUN
cana-1632	60	3	(	(	PUNCT
cana-1632	60	4	nlp	nlp	NOUN
cana-1632	60	5	)	)	PUNCT
cana-1632	60	6	is	be	AUX
cana-1632	60	7	regularly	regularly	ADV
cana-1632	60	8	utilized	utilize	VERB
cana-1632	60	9	to	to	PART
cana-1632	60	10	control	control	VERB
cana-1632	60	11	power	power	NOUN
cana-1632	60	12	and	and	CCONJ
cana-1632	60	13	move	move	VERB
cana-1632	60	14	forward	forward	ADV
cana-1632	60	15	responsive	responsive	ADJ
cana-1632	60	16	control	control	NOUN
cana-1632	60	17	.	.	PUNCT
cana-1632	61	1	nlp	nlp	NOUN
cana-1632	61	2	is	be	AUX
cana-1632	61	3	exceptionally	exceptionally	ADV
cana-1632	61	4	great	great	ADJ
cana-1632	61	5	at	at	ADP
cana-1632	61	6	understanding	understand	VERB
cana-1632	61	7	nonlinear	nonlinear	ADJ
cana-1632	61	8	issues	issue	NOUN
cana-1632	61	9	,	,	PUNCT
cana-1632	61	10	which	which	PRON
cana-1632	61	11	happen	happen	VERB
cana-1632	61	12	a	a	DET
cana-1632	61	13	parcel	parcel	NOUN
cana-1632	61	14	in	in	ADP
cana-1632	61	15	control	control	NOUN
cana-1632	61	16	frameworks	framework	NOUN
cana-1632	61	17	.	.	PUNCT
cana-1632	62	1	this	this	PRON
cana-1632	62	2	makes	make	VERB
cana-1632	62	3	the	the	DET
cana-1632	62	4	voltage	voltage	NOUN
cana-1632	62	5	more	more	ADV
cana-1632	62	6	steady	steady	ADJ
cana-1632	62	7	and	and	CCONJ
cana-1632	62	8	moves	move	VERB
cana-1632	62	9	forward	forward	ADV
cana-1632	62	10	the	the	DET
cana-1632	62	11	stream	stream	NOUN
cana-1632	62	12	of	of	ADP
cana-1632	62	13	reactive	reactive	ADJ
cana-1632	62	14	power	power	NOUN
cana-1632	62	15	[	[	X
cana-1632	62	16	3	3	NUM
cana-1632	62	17	]	]	PUNCT
cana-1632	62	18	.	.	PUNCT
cana-1632	63	1	the	the	DET
cana-1632	63	2	most	most	ADJ
cana-1632	63	3	advantage	advantage	NOUN
cana-1632	63	4	of	of	ADP
cana-1632	63	5	nlp	nlp	NOUN
cana-1632	63	6	is	be	AUX
cana-1632	63	7	that	that	SCONJ
cana-1632	63	8	it	it	PRON
cana-1632	63	9	can	can	AUX
cana-1632	63	10	make	make	VERB
cana-1632	63	11	frameworks	framework	NOUN
cana-1632	63	12	more	more	ADV
cana-1632	63	13	dependable	dependable	ADJ
cana-1632	63	14	and	and	CCONJ
cana-1632	63	15	alter	alter	VERB
cana-1632	63	16	control	control	NOUN
cana-1632	63	17	designs	design	NOUN
cana-1632	63	18	.	.	PUNCT
cana-1632	64	1	still	still	ADV
cana-1632	64	2	,	,	PUNCT
cana-1632	64	3	it	it	PRON
cana-1632	64	4	has	have	VERB
cana-1632	64	5	issues	issue	NOUN
cana-1632	64	6	like	like	ADP
cana-1632	64	7	not	not	PART
cana-1632	64	8	merged	merge	VERB
cana-1632	64	9	and	and	CCONJ
cana-1632	64	10	requiring	require	VERB
cana-1632	64	11	a	a	DET
cana-1632	64	12	part	part	NOUN
cana-1632	64	13	of	of	ADP
cana-1632	64	14	computing	compute	VERB
cana-1632	64	15	control	control	NOUN
cana-1632	64	16	,	,	PUNCT
cana-1632	64	17	which	which	PRON
cana-1632	64	18	can	can	AUX
cana-1632	64	19	restrain	restrain	VERB
cana-1632	64	20	how	how	SCONJ
cana-1632	64	21	valuable	valuable	ADJ
cana-1632	64	22	it	it	PRON
cana-1632	64	23	is	be	AUX
cana-1632	64	24	in	in	ADP
cana-1632	64	25	genuine	genuine	ADJ
cana-1632	64	26	life	life	NOUN
cana-1632	64	27	[	[	X
cana-1632	64	28	4	4	NUM
cana-1632	64	29	]	]	PUNCT
cana-1632	64	30	.	.	PUNCT
cana-1632	65	1	heuristic	heuristic	ADJ
cana-1632	65	2	and	and	CCONJ
cana-1632	65	3	metaheuristic	metaheuristic	ADJ
cana-1632	65	4	algorithms	algorithm	NOUN
cana-1632	65	5	,	,	PUNCT
cana-1632	65	6	such	such	ADJ
cana-1632	65	7	as	as	ADP
cana-1632	65	8	hereditary	hereditary	ADJ
cana-1632	65	9	calculations	calculation	NOUN
cana-1632	65	10	(	(	PUNCT
cana-1632	65	11	ga	ga	NOUN
cana-1632	65	12	)	)	PUNCT
cana-1632	65	13	,	,	PUNCT
cana-1632	65	14	molecule	molecule	NOUN
cana-1632	65	15	swarm	swarm	NOUN
cana-1632	65	16	optimization	optimization	NOUN
cana-1632	65	17	(	(	PUNCT
cana-1632	65	18	pso	pso	NOUN
cana-1632	65	19	)	)	PUNCT
cana-1632	65	20	,	,	PUNCT
cana-1632	65	21	and	and	CCONJ
cana-1632	65	22	subterranean	subterranean	ADJ
cana-1632	65	23	insect	insect	NOUN
cana-1632	65	24	colony	colony	NOUN
cana-1632	65	25	optimization	optimization	NOUN
cana-1632	65	26	(	(	PUNCT
cana-1632	65	27	aco	aco	PROPN
cana-1632	65	28	)	)	PUNCT
cana-1632	65	29	,	,	PUNCT
cana-1632	65	30	have	have	AUX
cana-1632	65	31	appeared	appear	VERB
cana-1632	65	32	a	a	DET
cana-1632	65	33	part	part	NOUN
cana-1632	65	34	of	of	ADP
cana-1632	65	35	guarantee	guarantee	NOUN
cana-1632	65	36	in	in	ADP
cana-1632	65	37	electrical	electrical	ADJ
cana-1632	65	38	arrange	arrange	NOUN
cana-1632	65	39	plan	plan	NOUN
cana-1632	65	40	for	for	ADP
cana-1632	65	41	taking	take	VERB
cana-1632	65	42	care	care	NOUN
cana-1632	65	43	of	of	ADP
cana-1632	65	44	difficult	difficult	ADJ
cana-1632	65	45	,	,	PUNCT
cana-1632	65	46	nonlinear	nonlinear	ADJ
cana-1632	65	47	,	,	PUNCT
cana-1632	65	48	and	and	CCONJ
cana-1632	65	49	multi	multi	ADJ
cana-1632	65	50	-	-	ADJ
cana-1632	65	51	objective	objective	ADJ
cana-1632	65	52	issues	issue	NOUN
cana-1632	65	53	[	[	X
cana-1632	65	54	5	5	NUM
cana-1632	65	55	]	]	PUNCT
cana-1632	65	56	.	.	PUNCT
cana-1632	66	1	these	these	DET
cana-1632	66	2	calculations	calculation	NOUN
cana-1632	66	3	work	work	VERB
cana-1632	66	4	by	by	ADP
cana-1632	66	5	replicating	replicate	VERB
cana-1632	66	6	normal	normal	ADJ
cana-1632	66	7	forms	form	NOUN
cana-1632	66	8	and	and	CCONJ
cana-1632	66	9	how	how	SCONJ
cana-1632	66	10	bunches	bunche	NOUN
cana-1632	66	11	act	act	VERB
cana-1632	66	12	.	.	PUNCT
cana-1632	67	1	they	they	PRON
cana-1632	67	2	give	give	VERB
cana-1632	67	3	solid	solid	ADJ
cana-1632	67	4	and	and	CCONJ
cana-1632	67	5	nearly	nearly	ADV
cana-1632	67	6	idealize	idealize	VERB
cana-1632	67	7	answers	answer	NOUN
cana-1632	67	8	to	to	ADP
cana-1632	67	9	issues	issue	NOUN
cana-1632	67	10	like	like	ADP
cana-1632	67	11	moving	move	VERB
cana-1632	67	12	loads	load	NOUN
cana-1632	67	13	and	and	CCONJ
cana-1632	67	14	changing	change	VERB
cana-1632	67	15	the	the	DET
cana-1632	67	16	structure	structure	NOUN
cana-1632	67	17	of	of	ADP
cana-1632	67	18	a	a	DET
cana-1632	67	19	arrange	arrange	NOUN
cana-1632	67	20	.	.	PUNCT
cana-1632	68	1	they	they	PRON
cana-1632	68	2	are	be	AUX
cana-1632	68	3	adaptable	adaptable	ADJ
cana-1632	68	4	and	and	CCONJ
cana-1632	68	5	fast	fast	ADV
cana-1632	68	6	at	at	ADP
cana-1632	68	7	looking	look	VERB
cana-1632	68	8	into	into	ADP
cana-1632	68	9	a	a	DET
cana-1632	68	10	parcel	parcel	NOUN
cana-1632	68	11	of	of	ADP
cana-1632	68	12	conceivable	conceivable	ADJ
cana-1632	68	13	arrangements	arrangement	NOUN
cana-1632	68	14	,	,	PUNCT
cana-1632	68	15	which	which	PRON
cana-1632	68	16	are	be	AUX
cana-1632	68	17	huge	huge	ADJ
cana-1632	68	18	pluses	plus	NOUN
cana-1632	68	19	[	[	X
cana-1632	68	20	6	6	NUM
cana-1632	68	21	]	]	PUNCT
cana-1632	68	22	.	.	PUNCT
cana-1632	69	1	however	however	ADV
cana-1632	69	2	,	,	PUNCT
cana-1632	69	3	they	they	PRON
cana-1632	69	4	require	require	VERB
cana-1632	69	5	a	a	DET
cana-1632	69	6	lot	lot	NOUN
cana-1632	69	7	of	of	ADP
cana-1632	69	8	computing	computing	NOUN
cana-1632	69	9	power	power	NOUN
cana-1632	69	10	,	,	PUNCT
cana-1632	69	11	can	can	AUX
cana-1632	69	12	have	have	VERB
cana-1632	69	13	problems	problem	NOUN
cana-1632	69	14	with	with	ADP
cana-1632	69	15	premature	premature	ADJ
cana-1632	69	16	convergence	convergence	NOUN
cana-1632	69	17	,	,	PUNCT
cana-1632	69	18	and	and	CCONJ
cana-1632	69	19	the	the	DET
cana-1632	69	20	quality	quality	NOUN
cana-1632	69	21	of	of	ADP
cana-1632	69	22	the	the	DET
cana-1632	69	23	answers	answer	NOUN
cana-1632	69	24	often	often	ADV
cana-1632	69	25	relies	rely	VERB
cana-1632	69	26	on	on	ADP
cana-1632	69	27	fine	fine	ADV
cana-1632	69	28	-	-	PUNCT
cana-1632	69	29	tuning	tune	VERB
cana-1632	69	30	the	the	DET
cana-1632	69	31	parameters	parameter	NOUN
cana-1632	69	32	,	,	PUNCT
cana-1632	69	33	which	which	PRON
cana-1632	69	34	makes	make	VERB
cana-1632	69	35	them	they	PRON
cana-1632	69	36	hard	hard	ADJ
cana-1632	69	37	to	to	PART
cana-1632	69	38	use	use	VERB
cana-1632	69	39	in	in	ADP
cana-1632	69	40	real	real	ADJ
cana-1632	69	41	life	life	NOUN
cana-1632	69	42	.	.	PUNCT
cana-1632	70	1	more	more	ADJ
cana-1632	70	2	and	and	CCONJ
cana-1632	70	3	more	more	ADJ
cana-1632	70	4	,	,	PUNCT
cana-1632	70	5	optimization	optimization	NOUN
cana-1632	70	6	communications	communication	NOUN
cana-1632	70	7	on	on	ADP
cana-1632	70	8	applied	apply	VERB
cana-1632	70	9	nonlinear	nonlinear	ADJ
cana-1632	70	10	analysis	analysis	NOUN
cana-1632	70	11	issn	issn	NOUN
cana-1632	70	12	:	:	PUNCT
cana-1632	70	13	1074	1074	NUM
cana-1632	70	14	-	-	PUNCT
cana-1632	70	15	133x	133x	NUM
cana-1632	70	16	vol	vol	NOUN
cana-1632	70	17	32	32	NUM
cana-1632	70	18	no	no	NOUN
cana-1632	70	19	.	.	NOUN
cana-1632	70	20	1	1	NUM
cana-1632	70	21	(	(	PUNCT
cana-1632	70	22	2025	2025	NUM
cana-1632	70	23	)	)	PUNCT
cana-1632	70	24	215	215	NUM
cana-1632	70	25	https://internationalpubls.com	https://internationalpubls.com	X
cana-1632	70	26	algorithms	algorithm	NOUN
cana-1632	70	27	are	be	AUX
cana-1632	70	28	being	be	AUX
cana-1632	70	29	combined	combine	VERB
cana-1632	70	30	with	with	ADP
cana-1632	70	31	machine	machine	NOUN
cana-1632	70	32	learning	learn	VERB
cana-1632	70	33	methods	method	NOUN
cana-1632	70	34	like	like	ADP
cana-1632	70	35	neural	neural	ADJ
cana-1632	70	36	networks	network	NOUN
cana-1632	70	37	,	,	PUNCT
cana-1632	70	38	support	support	VERB
cana-1632	70	39	vector	vector	NOUN
cana-1632	70	40	machines	machine	NOUN
cana-1632	70	41	,	,	PUNCT
cana-1632	70	42	and	and	CCONJ
cana-1632	70	43	reinforcement	reinforcement	NOUN
cana-1632	70	44	learning	learning	NOUN
cana-1632	70	45	to	to	PART
cana-1632	70	46	improve	improve	VERB
cana-1632	70	47	predictive	predictive	ADJ
cana-1632	70	48	maintenance	maintenance	NOUN
cana-1632	70	49	and	and	CCONJ
cana-1632	70	50	load	load	VERB
cana-1632	70	51	forecasts	forecast	NOUN
cana-1632	70	52	[	[	X
cana-1632	70	53	7	7	NUM
cana-1632	70	54	]	]	PUNCT
cana-1632	70	55	.	.	PUNCT
cana-1632	71	1	these	these	DET
cana-1632	71	2	methods	method	NOUN
cana-1632	71	3	allow	allow	VERB
cana-1632	71	4	for	for	ADP
cana-1632	71	5	making	make	VERB
cana-1632	71	6	decisions	decision	NOUN
cana-1632	71	7	in	in	ADP
cana-1632	71	8	real	real	ADJ
cana-1632	71	9	time	time	NOUN
cana-1632	71	10	,	,	PUNCT
cana-1632	71	11	flexible	flexible	ADJ
cana-1632	71	12	control	control	NOUN
cana-1632	71	13	,	,	PUNCT
cana-1632	71	14	and	and	CCONJ
cana-1632	71	15	predicted	predict	VERB
cana-1632	71	16	insights	insight	NOUN
cana-1632	71	17	,	,	PUNCT
cana-1632	71	18	which	which	PRON
cana-1632	71	19	improves	improve	VERB
cana-1632	71	20	repair	repair	NOUN
cana-1632	71	21	plans	plan	NOUN
cana-1632	71	22	and	and	CCONJ
cana-1632	71	23	makes	make	VERB
cana-1632	71	24	it	it	PRON
cana-1632	71	25	easier	easy	ADJ
cana-1632	71	26	to	to	PART
cana-1632	71	27	predict	predict	VERB
cana-1632	71	28	load	load	NOUN
cana-1632	71	29	.	.	PUNCT
cana-1632	72	1	the	the	DET
cana-1632	72	2	best	good	ADJ
cana-1632	72	3	thing	thing	NOUN
cana-1632	72	4	about	about	ADP
cana-1632	72	5	machine	machine	NOUN
cana-1632	72	6	learning	learning	NOUN
cana-1632	72	7	is	be	AUX
cana-1632	72	8	that	that	SCONJ
cana-1632	72	9	it	it	PRON
cana-1632	72	10	can	can	AUX
cana-1632	72	11	adapt	adapt	VERB
cana-1632	72	12	to	to	ADP
cana-1632	72	13	changing	change	VERB
cana-1632	72	14	situations	situation	NOUN
cana-1632	72	15	and	and	CCONJ
cana-1632	72	16	make	make	VERB
cana-1632	72	17	systems	system	NOUN
cana-1632	72	18	work	work	VERB
cana-1632	72	19	better	well	ADV
cana-1632	72	20	[	[	X
cana-1632	72	21	8	8	NUM
cana-1632	72	22	]	]	PUNCT
cana-1632	72	23	.	.	PUNCT
cana-1632	73	1	however	however	ADV
cana-1632	73	2	,	,	PUNCT
cana-1632	73	3	these	these	DET
cana-1632	73	4	methods	method	NOUN
cana-1632	73	5	need	need	VERB
cana-1632	73	6	big	big	ADJ
cana-1632	73	7	datasets	dataset	NOUN
cana-1632	73	8	to	to	PART
cana-1632	73	9	be	be	AUX
cana-1632	73	10	trained	train	VERB
cana-1632	73	11	on	on	ADP
cana-1632	73	12	,	,	PUNCT
cana-1632	73	13	have	have	VERB
cana-1632	73	14	complicated	complicate	VERB
cana-1632	73	15	ways	way	NOUN
cana-1632	73	16	of	of	ADP
cana-1632	73	17	building	building	NOUN
cana-1632	73	18	models	model	NOUN
cana-1632	73	19	,	,	PUNCT
cana-1632	73	20	and	and	CCONJ
cana-1632	73	21	are	be	AUX
cana-1632	73	22	hard	hard	ADJ
cana-1632	73	23	to	to	PART
cana-1632	73	24	connect	connect	VERB
cana-1632	73	25	to	to	ADP
cana-1632	73	26	other	other	ADJ
cana-1632	73	27	systems	system	NOUN
cana-1632	73	28	.	.	PUNCT
cana-1632	74	1	for	for	ADP
cana-1632	74	2	smart	smart	ADJ
cana-1632	74	3	grid	grid	NOUN
cana-1632	74	4	management	management	NOUN
cana-1632	74	5	to	to	PART
cana-1632	74	6	work	work	VERB
cana-1632	74	7	,	,	PUNCT
cana-1632	74	8	powerful	powerful	ADJ
cana-1632	74	9	optimization	optimization	NOUN
cana-1632	74	10	tools	tool	NOUN
cana-1632	74	11	are	be	AUX
cana-1632	74	12	very	very	ADV
cana-1632	74	13	important	important	ADJ
cana-1632	74	14	[	[	X
cana-1632	74	15	9	9	NUM
cana-1632	74	16	]	]	PUNCT
cana-1632	74	17	.	.	PUNCT
cana-1632	75	1	these	these	DET
cana-1632	75	2	models	model	NOUN
cana-1632	75	3	make	make	VERB
cana-1632	75	4	it	it	PRON
cana-1632	75	5	easier	easy	ADJ
cana-1632	75	6	to	to	PART
cana-1632	75	7	handle	handle	VERB
cana-1632	75	8	distributed	distribute	VERB
cana-1632	75	9	energy	energy	NOUN
cana-1632	75	10	resources	resource	NOUN
cana-1632	75	11	(	(	PUNCT
cana-1632	75	12	ders	der	NOUN
cana-1632	75	13	)	)	PUNCT
cana-1632	75	14	efficiently	efficiently	ADV
cana-1632	75	15	,	,	PUNCT
cana-1632	75	16	improve	improve	VERB
cana-1632	75	17	demand	demand	NOUN
cana-1632	75	18	response	response	NOUN
cana-1632	75	19	programs	program	NOUN
cana-1632	75	20	,	,	PUNCT
cana-1632	75	21	and	and	CCONJ
cana-1632	75	22	keep	keep	VERB
cana-1632	75	23	the	the	DET
cana-1632	75	24	grid	grid	NOUN
cana-1632	75	25	stable	stable	ADJ
cana-1632	75	26	.	.	PUNCT
cana-1632	76	1	the	the	DET
cana-1632	76	2	results	result	NOUN
cana-1632	76	3	show	show	VERB
cana-1632	76	4	that	that	SCONJ
cana-1632	76	5	advanced	advanced	ADJ
cana-1632	76	6	optimization	optimization	NOUN
cana-1632	76	7	methods	method	NOUN
cana-1632	76	8	allow	allow	VERB
cana-1632	76	9	watching	watching	NOUN
cana-1632	76	10	,	,	PUNCT
cana-1632	76	11	controlling	control	VERB
cana-1632	76	12	,	,	PUNCT
cana-1632	76	13	and	and	CCONJ
cana-1632	76	14	improving	improve	VERB
cana-1632	76	15	grid	grid	NOUN
cana-1632	76	16	operations	operation	NOUN
cana-1632	76	17	in	in	ADP
cana-1632	76	18	real	real	ADJ
cana-1632	76	19	time	time	NOUN
cana-1632	76	20	,	,	PUNCT
cana-1632	76	21	which	which	PRON
cana-1632	76	22	makes	make	VERB
cana-1632	76	23	the	the	DET
cana-1632	76	24	network	network	NOUN
cana-1632	76	25	flexible	flexible	ADJ
cana-1632	76	26	enough	enough	ADV
cana-1632	76	27	to	to	PART
cana-1632	76	28	adapt	adapt	VERB
cana-1632	76	29	to	to	ADP
cana-1632	76	30	new	new	ADJ
cana-1632	76	31	situations	situation	NOUN
cana-1632	76	32	[	[	X
cana-1632	76	33	10	10	NUM
cana-1632	76	34	]	]	PUNCT
cana-1632	76	35	.	.	PUNCT
cana-1632	77	1	putting	put	VERB
cana-1632	77	2	these	these	DET
cana-1632	77	3	models	model	NOUN
cana-1632	77	4	into	into	ADP
cana-1632	77	5	activity	activity	NOUN
cana-1632	77	6	,	,	PUNCT
cana-1632	77	7	on	on	ADP
cana-1632	77	8	the	the	DET
cana-1632	77	9	other	other	ADJ
cana-1632	77	10	hand	hand	NOUN
cana-1632	77	11	,	,	PUNCT
cana-1632	77	12	comes	come	VERB
cana-1632	77	13	with	with	ADP
cana-1632	77	14	huge	huge	ADJ
cana-1632	77	15	issues	issue	NOUN
cana-1632	77	16	like	like	ADP
cana-1632	77	17	tall	tall	ADJ
cana-1632	77	18	costs	cost	NOUN
cana-1632	77	19	,	,	PUNCT
cana-1632	77	20	stresses	stress	VERB
cana-1632	77	21	around	around	ADP
cana-1632	77	22	information	information	NOUN
cana-1632	77	23	security	security	NOUN
cana-1632	77	24	,	,	PUNCT
cana-1632	77	25	and	and	CCONJ
cana-1632	77	26	the	the	DET
cana-1632	77	27	require	require	NOUN
cana-1632	77	28	for	for	ADP
cana-1632	77	29	a	a	DET
cana-1632	77	30	solid	solid	ADJ
cana-1632	77	31	communication	communication	NOUN
cana-1632	77	32	framework	framework	NOUN
cana-1632	77	33	.	.	PUNCT
cana-1632	78	1	to	to	PART
cana-1632	78	2	induce	induce	VERB
cana-1632	78	3	the	the	DET
cana-1632	78	4	foremost	foremost	NOUN
cana-1632	78	5	out	out	ADP
cana-1632	78	6	of	of	ADP
cana-1632	78	7	the	the	DET
cana-1632	78	8	benefits	benefit	NOUN
cana-1632	78	9	of	of	ADP
cana-1632	78	10	each	each	DET
cana-1632	78	11	program	program	NOUN
cana-1632	78	12	,	,	PUNCT
cana-1632	78	13	analysts	analyst	NOUN
cana-1632	78	14	have	have	AUX
cana-1632	78	15	looked	look	VERB
cana-1632	78	16	into	into	ADP
cana-1632	78	17	cross	cross	NOUN
cana-1632	78	18	breed	breed	NOUN
cana-1632	78	19	optimization	optimization	NOUN
cana-1632	78	20	strategies	strategy	NOUN
cana-1632	78	21	that	that	PRON
cana-1632	78	22	utilize	utilize	VERB
cana-1632	78	23	both	both	DET
cana-1632	78	24	classical	classical	ADJ
cana-1632	78	25	and	and	CCONJ
cana-1632	78	26	metaheuristic	metaheuristic	ADJ
cana-1632	78	27	strategies	strategy	NOUN
cana-1632	78	28	.	.	PUNCT
cana-1632	79	1	the	the	DET
cana-1632	79	2	way	way	NOUN
cana-1632	79	3	better	well	ADJ
cana-1632	79	4	reply	reply	VERB
cana-1632	79	5	quality	quality	NOUN
cana-1632	79	6	and	and	CCONJ
cana-1632	79	7	higher	high	ADJ
cana-1632	79	8	computing	computing	NOUN
cana-1632	79	9	speed	speed	NOUN
cana-1632	79	10	of	of	ADP
cana-1632	79	11	these	these	DET
cana-1632	79	12	blended	blend	VERB
cana-1632	79	13	strategies	strategy	NOUN
cana-1632	79	14	appear	appear	VERB
cana-1632	79	15	that	that	SCONJ
cana-1632	79	16	they	they	PRON
cana-1632	79	17	work	work	VERB
cana-1632	79	18	superior	superior	ADJ
cana-1632	79	19	.	.	PUNCT
cana-1632	80	1	still	still	ADV
cana-1632	80	2	,	,	PUNCT
cana-1632	80	3	making	make	VERB
cana-1632	80	4	these	these	DET
cana-1632	80	5	sorts	sort	NOUN
cana-1632	80	6	of	of	ADP
cana-1632	80	7	blended	blended	ADJ
cana-1632	80	8	calculations	calculation	NOUN
cana-1632	80	9	is	be	AUX
cana-1632	80	10	difficult	difficult	ADJ
cana-1632	80	11	,	,	PUNCT
cana-1632	80	12	and	and	CCONJ
cana-1632	80	13	including	include	VERB
cana-1632	80	14	them	they	PRON
cana-1632	80	15	to	to	ADP
cana-1632	80	16	frameworks	framework	NOUN
cana-1632	80	17	that	that	PRON
cana-1632	80	18	are	be	AUX
cana-1632	80	19	as	as	ADP
cana-1632	80	20	of	of	ADP
cana-1632	80	21	now	now	ADV
cana-1632	80	22	in	in	ADP
cana-1632	80	23	put	put	NOUN
cana-1632	80	24	is	be	AUX
cana-1632	80	25	indeed	indeed	ADV
cana-1632	80	26	harder	hard	ADJ
cana-1632	80	27	[	[	X
cana-1632	80	28	11	11	NUM
cana-1632	80	29	]	]	PUNCT
cana-1632	80	30	.	.	PUNCT
cana-1632	81	1	including	include	VERB
cana-1632	81	2	unused	unused	ADJ
cana-1632	81	3	innovations	innovation	NOUN
cana-1632	81	4	like	like	ADP
cana-1632	81	5	blockchain	blockchain	PROPN
cana-1632	81	6	and	and	CCONJ
cana-1632	81	7	the	the	DET
cana-1632	81	8	web	web	NOUN
cana-1632	81	9	of	of	ADP
cana-1632	81	10	things	thing	NOUN
cana-1632	81	11	(	(	PUNCT
cana-1632	81	12	iot	iot	NOUN
cana-1632	81	13	)	)	PUNCT
cana-1632	81	14	to	to	PART
cana-1632	81	15	effectiveness	effectiveness	NOUN
cana-1632	81	16	strategies	strategy	NOUN
cana-1632	81	17	seem	seem	VERB
cana-1632	81	18	lead	lead	VERB
cana-1632	81	19	to	to	ADP
cana-1632	81	20	enormous	enormous	ADJ
cana-1632	81	21	changes	change	NOUN
cana-1632	81	22	in	in	ADP
cana-1632	81	23	how	how	SCONJ
cana-1632	81	24	power	power	NOUN
cana-1632	81	25	systems	system	NOUN
cana-1632	81	26	are	be	AUX
cana-1632	81	27	built	build	VERB
cana-1632	81	28	.	.	PUNCT
cana-1632	82	1	blockchain	blockchain	PROPN
cana-1632	82	2	makes	make	VERB
cana-1632	82	3	information	information	NOUN
cana-1632	82	4	more	more	ADV
cana-1632	82	5	secure	secure	ADJ
cana-1632	82	6	and	and	CCONJ
cana-1632	82	7	transactions	transaction	NOUN
cana-1632	82	8	more	more	ADV
cana-1632	82	9	dependable	dependable	ADJ
cana-1632	82	10	,	,	PUNCT
cana-1632	82	11	and	and	CCONJ
cana-1632	82	12	iot	iot	NOUN
cana-1632	82	13	makes	make	VERB
cana-1632	82	14	it	it	PRON
cana-1632	82	15	less	less	ADV
cana-1632	82	16	demanding	demanding	ADJ
cana-1632	82	17	to	to	PART
cana-1632	82	18	put	put	VERB
cana-1632	82	19	through	through	ADP
cana-1632	82	20	and	and	CCONJ
cana-1632	82	21	optimize	optimize	VERB
cana-1632	82	22	in	in	ADP
cana-1632	82	23	genuine	genuine	ADJ
cana-1632	82	24	time	time	NOUN
cana-1632	82	25	[	[	X
cana-1632	82	26	12	12	NUM
cana-1632	82	27	]	]	PUNCT
cana-1632	82	28	.	.	PUNCT
cana-1632	83	1	the	the	PRON
cana-1632	83	2	comes	come	VERB
cana-1632	83	3	about	about	ADV
cana-1632	83	4	appear	appear	VERB
cana-1632	83	5	that	that	SCONJ
cana-1632	83	6	there	there	PRON
cana-1632	83	7	's	be	VERB
cana-1632	83	8	room	room	NOUN
cana-1632	83	9	for	for	ADP
cana-1632	83	10	way	way	NOUN
cana-1632	83	11	better	well	ADJ
cana-1632	83	12	information	information	NOUN
cana-1632	83	13	security	security	NOUN
cana-1632	83	14	,	,	PUNCT
cana-1632	83	15	more	more	ADV
cana-1632	83	16	secure	secure	ADJ
cana-1632	83	17	exercises	exercise	NOUN
cana-1632	83	18	,	,	PUNCT
cana-1632	83	19	and	and	CCONJ
cana-1632	83	20	speedier	speedy	ADJ
cana-1632	83	21	associations	association	NOUN
cana-1632	83	22	[	[	X
cana-1632	83	23	14	14	NUM
cana-1632	83	24	]	]	PUNCT
cana-1632	83	25	.	.	PUNCT
cana-1632	84	1	but	but	CCONJ
cana-1632	84	2	the	the	DET
cana-1632	84	3	require	require	NOUN
cana-1632	84	4	for	for	ADP
cana-1632	84	5	uniform	uniform	ADJ
cana-1632	84	6	benchmarks	benchmark	NOUN
cana-1632	84	7	and	and	CCONJ
cana-1632	84	8	the	the	DET
cana-1632	84	9	tall	tall	ADJ
cana-1632	84	10	costs	cost	NOUN
cana-1632	84	11	of	of	ADP
cana-1632	84	12	execution	execution	NOUN
cana-1632	84	13	and	and	CCONJ
cana-1632	84	14	administration	administration	NOUN
cana-1632	84	15	make	make	VERB
cana-1632	84	16	it	it	PRON
cana-1632	84	17	difficult	difficult	ADJ
cana-1632	84	18	for	for	SCONJ
cana-1632	84	19	a	a	DET
cana-1632	84	20	parcel	parcel	NOUN
cana-1632	84	21	of	of	ADP
cana-1632	84	22	individuals	individual	NOUN
cana-1632	84	23	to	to	PART
cana-1632	84	24	utilize	utilize	VERB
cana-1632	84	25	it	it	PRON
cana-1632	84	26	.	.	PUNCT
cana-1632	85	1	when	when	SCONJ
cana-1632	85	2	it	it	PRON
cana-1632	85	3	comes	come	VERB
cana-1632	85	4	to	to	ADP
cana-1632	85	5	planning	plan	VERB
cana-1632	85	6	power	power	NOUN
cana-1632	85	7	systems	system	NOUN
cana-1632	85	8	,	,	PUNCT
cana-1632	85	9	optimization	optimization	NOUN
cana-1632	85	10	strategies	strategy	NOUN
cana-1632	85	11	can	can	AUX
cana-1632	85	12	be	be	AUX
cana-1632	85	13	utilized	utilize	VERB
cana-1632	85	14	in	in	ADP
cana-1632	85	15	a	a	DET
cana-1632	85	16	parcel	parcel	NOUN
cana-1632	85	17	of	of	ADP
cana-1632	85	18	diverse	diverse	ADJ
cana-1632	85	19	ways	way	NOUN
cana-1632	85	20	,	,	PUNCT
cana-1632	85	21	depending	depend	VERB
cana-1632	85	22	on	on	ADP
cana-1632	85	23	the	the	DET
cana-1632	85	24	issue	issue	NOUN
cana-1632	85	25	and	and	CCONJ
cana-1632	85	26	the	the	DET
cana-1632	85	27	circumstance	circumstance	NOUN
cana-1632	85	28	.	.	PUNCT
cana-1632	86	1	each	each	DET
cana-1632	86	2	strategy	strategy	NOUN
cana-1632	86	3	has	have	VERB
cana-1632	86	4	its	its	PRON
cana-1632	86	5	claim	claim	NOUN
cana-1632	86	6	benefits	benefit	NOUN
cana-1632	86	7	,	,	PUNCT
cana-1632	86	8	like	like	ADP
cana-1632	86	9	being	be	AUX
cana-1632	86	10	precise	precise	ADJ
cana-1632	86	11	,	,	PUNCT
cana-1632	86	12	strong	strong	ADJ
cana-1632	86	13	,	,	PUNCT
cana-1632	86	14	and	and	CCONJ
cana-1632	86	15	able	able	ADJ
cana-1632	86	16	to	to	PART
cana-1632	86	17	work	work	VERB
cana-1632	86	18	in	in	ADP
cana-1632	86	19	genuine	genuine	ADJ
cana-1632	86	20	time	time	NOUN
cana-1632	86	21	.	.	PUNCT
cana-1632	87	1	however	however	ADV
cana-1632	87	2	,	,	PUNCT
cana-1632	87	3	they	they	PRON
cana-1632	87	4	also	also	ADV
cana-1632	87	5	have	have	VERB
cana-1632	87	6	problems	problem	NOUN
cana-1632	87	7	,	,	PUNCT
cana-1632	87	8	such	such	ADJ
cana-1632	87	9	as	as	ADP
cana-1632	87	10	being	be	AUX
cana-1632	87	11	hard	hard	ADJ
cana-1632	87	12	to	to	PART
cana-1632	87	13	scale	scale	VERB
cana-1632	87	14	,	,	PUNCT
cana-1632	87	15	complicated	complicated	ADJ
cana-1632	87	16	to	to	PART
cana-1632	87	17	compute	compute	VERB
cana-1632	87	18	,	,	PUNCT
cana-1632	87	19	and	and	CCONJ
cana-1632	87	20	hard	hard	ADJ
cana-1632	87	21	to	to	PART
cana-1632	87	22	integrate	integrate	VERB
cana-1632	87	23	.	.	PUNCT
cana-1632	88	1	the	the	DET
cana-1632	88	2	constant	constant	ADJ
cana-1632	88	3	improvement	improvement	NOUN
cana-1632	88	4	of	of	ADP
cana-1632	88	5	these	these	DET
cana-1632	88	6	methods	method	NOUN
cana-1632	88	7	and	and	CCONJ
cana-1632	88	8	their	their	PRON
cana-1632	88	9	combination	combination	NOUN
cana-1632	88	10	with	with	ADP
cana-1632	88	11	new	new	ADJ
cana-1632	88	12	technologies	technology	NOUN
cana-1632	88	13	hold	hold	VERB
cana-1632	88	14	the	the	DET
cana-1632	88	15	potential	potential	NOUN
cana-1632	88	16	to	to	PART
cana-1632	88	17	make	make	VERB
cana-1632	88	18	electricity	electricity	NOUN
cana-1632	88	19	networks	network	NOUN
cana-1632	88	20	more	more	ADV
cana-1632	88	21	efficient	efficient	ADJ
cana-1632	88	22	,	,	PUNCT
cana-1632	88	23	reliable	reliable	ADJ
cana-1632	88	24	,	,	PUNCT
cana-1632	88	25	and	and	CCONJ
cana-1632	88	26	long	long	ADV
cana-1632	88	27	-	-	PUNCT
cana-1632	88	28	lasting	last	VERB
cana-1632	88	29	[	[	X
cana-1632	88	30	13	13	NUM
cana-1632	88	31	]	]	PUNCT
cana-1632	88	32	,	,	PUNCT
cana-1632	88	33	[	[	X
cana-1632	88	34	15]-[20	15]-[20	X
cana-1632	88	35	]	]	PUNCT
cana-1632	88	36	.	.	PUNCT
cana-1632	89	1	this	this	PRON
cana-1632	89	2	will	will	AUX
cana-1632	89	3	pave	pave	VERB
cana-1632	89	4	the	the	DET
cana-1632	89	5	way	way	NOUN
cana-1632	89	6	for	for	ADP
cana-1632	89	7	a	a	DET
cana-1632	89	8	more	more	ADV
cana-1632	89	9	robust	robust	ADJ
cana-1632	89	10	and	and	CCONJ
cana-1632	89	11	flexible	flexible	ADJ
cana-1632	89	12	power	power	NOUN
cana-1632	89	13	system	system	NOUN
cana-1632	89	14	.	.	PUNCT
cana-1632	90	1	table	table	NOUN
cana-1632	90	2	1	1	NUM
cana-1632	90	3	:	:	PUNCT
cana-1632	90	4	related	relate	VERB
cana-1632	90	5	work	work	NOUN
cana-1632	90	6	scope	scope	NOUN
cana-1632	90	7	method	method	NOUN
cana-1632	90	8	findings	finding	NOUN
cana-1632	90	9	advantages	advantage	NOUN
cana-1632	90	10	challenges	challenge	VERB
cana-1632	90	11	network	network	NOUN
cana-1632	90	12	planning	planning	NOUN
cana-1632	90	13	and	and	CCONJ
cana-1632	90	14	expansion	expansion	NOUN
cana-1632	90	15	linear	linear	NOUN
cana-1632	90	16	programming	programming	NOUN
cana-1632	90	17	(	(	PUNCT
cana-1632	90	18	lp	lp	NOUN
cana-1632	90	19	)	)	PUNCT
cana-1632	90	20	,	,	PUNCT
cana-1632	90	21	mixedinteger	mixedinteger	PROPN
cana-1632	90	22	linear	linear	PROPN
cana-1632	90	23	programming	programming	PROPN
cana-1632	90	24	(	(	PUNCT
cana-1632	90	25	milp	milp	NOUN
cana-1632	90	26	)	)	PUNCT
cana-1632	90	27	optimized	optimize	VERB
cana-1632	90	28	network	network	NOUN
cana-1632	90	29	expansion	expansion	NOUN
cana-1632	90	30	and	and	CCONJ
cana-1632	90	31	planning	planning	NOUN
cana-1632	90	32	,	,	PUNCT
cana-1632	90	33	considering	consider	VERB
cana-1632	90	34	load	load	NOUN
cana-1632	90	35	demand	demand	NOUN
cana-1632	90	36	and	and	CCONJ
cana-1632	90	37	generation	generation	NOUN
cana-1632	90	38	capacities	capacity	NOUN
cana-1632	90	39	precise	precise	ADJ
cana-1632	90	40	and	and	CCONJ
cana-1632	90	41	structured	structured	ADJ
cana-1632	90	42	solutions	solution	NOUN
cana-1632	90	43	,	,	PUNCT
cana-1632	90	44	effective	effective	ADJ
cana-1632	90	45	for	for	ADP
cana-1632	90	46	linear	linear	ADJ
cana-1632	90	47	and	and	CCONJ
cana-1632	90	48	mixed	mixed	ADJ
cana-1632	90	49	-	-	PUNCT
cana-1632	90	50	integer	integer	NOUN
cana-1632	90	51	problems	problem	NOUN
cana-1632	90	52	scalability	scalability	NOUN
cana-1632	90	53	issues	issue	NOUN
cana-1632	90	54	for	for	ADP
cana-1632	90	55	large	large	ADJ
cana-1632	90	56	networks	network	NOUN
cana-1632	90	57	,	,	PUNCT
cana-1632	90	58	computational	computational	ADJ
cana-1632	90	59	complexity	complexity	NOUN
cana-1632	90	60	reactive	reactive	ADJ
cana-1632	90	61	nonlinear	nonlinear	ADJ
cana-1632	90	62	enhanced	enhance	VERB
cana-1632	90	63	voltage	voltage	NOUN
cana-1632	90	64	effective	effective	ADJ
cana-1632	90	65	for	for	ADP
cana-1632	90	66	convergence	convergence	NOUN
cana-1632	90	67	issues	issue	NOUN
cana-1632	90	68	,	,	PUNCT
cana-1632	90	69	communications	communication	NOUN
cana-1632	90	70	on	on	ADP
cana-1632	90	71	applied	apply	VERB
cana-1632	90	72	nonlinear	nonlinear	ADJ
cana-1632	90	73	analysis	analysis	NOUN
cana-1632	90	74	issn	issn	NOUN
cana-1632	90	75	:	:	PUNCT
cana-1632	90	76	1074	1074	NUM
cana-1632	90	77	-	-	PUNCT
cana-1632	90	78	133x	133x	NUM
cana-1632	90	79	vol	vol	NOUN
cana-1632	90	80	32	32	NUM
cana-1632	90	81	no	no	NOUN
cana-1632	90	82	.	.	NOUN
cana-1632	90	83	1	1	NUM
cana-1632	90	84	(	(	PUNCT
cana-1632	90	85	2025	2025	NUM
cana-1632	90	86	)	)	PUNCT
cana-1632	90	87	216	216	NUM
cana-1632	90	88	https://internationalpubls.com	https://internationalpubls.com	X
cana-1632	90	89	power	power	NOUN
cana-1632	90	90	optimization	optimization	NOUN
cana-1632	90	91	and	and	CCONJ
cana-1632	90	92	voltage	voltage	NOUN
cana-1632	90	93	control	control	NOUN
cana-1632	90	94	programming	programming	NOUN
cana-1632	90	95	(	(	PUNCT
cana-1632	90	96	nlp	nlp	NOUN
cana-1632	90	97	)	)	PUNCT
cana-1632	90	98	stability	stability	NOUN
cana-1632	90	99	and	and	CCONJ
cana-1632	90	100	optimized	optimize	VERB
cana-1632	90	101	reactive	reactive	ADJ
cana-1632	90	102	power	power	NOUN
cana-1632	90	103	flow	flow	NOUN
cana-1632	90	104	nonlinear	nonlinear	ADJ
cana-1632	90	105	problems	problem	NOUN
cana-1632	90	106	,	,	PUNCT
cana-1632	90	107	improves	improve	VERB
cana-1632	90	108	system	system	NOUN
cana-1632	90	109	reliability	reliability	NOUN
cana-1632	90	110	and	and	CCONJ
cana-1632	90	111	voltage	voltage	NOUN
cana-1632	90	112	profile	profile	NOUN
cana-1632	90	113	high	high	ADJ
cana-1632	90	114	computational	computational	ADJ
cana-1632	90	115	requirements	requirement	NOUN
cana-1632	90	116	complex	complex	ADJ
cana-1632	90	117	problem	problem	NOUN
cana-1632	90	118	solving	solve	VERB
cana-1632	90	119	genetic	genetic	ADJ
cana-1632	90	120	algorithms	algorithm	NOUN
cana-1632	90	121	(	(	PUNCT
cana-1632	90	122	ga	ga	NOUN
cana-1632	90	123	)	)	PUNCT
cana-1632	90	124	,	,	PUNCT
cana-1632	90	125	particle	particle	NOUN
cana-1632	90	126	swarm	swarm	NOUN
cana-1632	90	127	optimization	optimization	NOUN
cana-1632	90	128	(	(	PUNCT
cana-1632	90	129	pso	pso	NOUN
cana-1632	90	130	)	)	PUNCT
cana-1632	90	131	,	,	PUNCT
cana-1632	90	132	ant	ant	ADJ
cana-1632	90	133	colony	colony	NOUN
cana-1632	90	134	optimization	optimization	NOUN
cana-1632	90	135	(	(	PUNCT
cana-1632	90	136	aco	aco	PROPN
cana-1632	90	137	)	)	PUNCT
cana-1632	90	138	provided	provide	VERB
cana-1632	90	139	robust	robust	ADJ
cana-1632	90	140	and	and	CCONJ
cana-1632	90	141	near	near	ADV
cana-1632	90	142	-	-	PUNCT
cana-1632	90	143	optimal	optimal	ADJ
cana-1632	90	144	solutions	solution	NOUN
cana-1632	90	145	for	for	ADP
cana-1632	90	146	complex	complex	ADJ
cana-1632	90	147	and	and	CCONJ
cana-1632	90	148	nonlinear	nonlinear	ADJ
cana-1632	90	149	problems	problem	NOUN
cana-1632	90	150	,	,	PUNCT
cana-1632	90	151	such	such	ADJ
cana-1632	90	152	as	as	ADP
cana-1632	90	153	load	load	NOUN
cana-1632	90	154	flow	flow	NOUN
cana-1632	90	155	and	and	CCONJ
cana-1632	90	156	network	network	NOUN
cana-1632	90	157	reconfiguration	reconfiguration	NOUN
cana-1632	90	158	capable	capable	ADJ
cana-1632	90	159	of	of	ADP
cana-1632	90	160	handling	handle	VERB
cana-1632	90	161	multiobjective	multiobjective	ADJ
cana-1632	90	162	problems	problem	NOUN
cana-1632	90	163	,	,	PUNCT
cana-1632	90	164	efficient	efficient	ADJ
cana-1632	90	165	exploration	exploration	NOUN
cana-1632	90	166	of	of	ADP
cana-1632	90	167	solution	solution	NOUN
cana-1632	90	168	space	space	NOUN
cana-1632	90	169	,	,	PUNCT
cana-1632	90	170	adaptability	adaptability	NOUN
cana-1632	90	171	to	to	ADP
cana-1632	90	172	various	various	ADJ
cana-1632	90	173	scenarios	scenario	NOUN
cana-1632	90	174	computationally	computationally	ADV
cana-1632	90	175	intensive	intensive	ADJ
cana-1632	90	176	,	,	PUNCT
cana-1632	90	177	potential	potential	NOUN
cana-1632	90	178	for	for	ADP
cana-1632	90	179	premature	premature	ADJ
cana-1632	90	180	convergence	convergence	NOUN
cana-1632	90	181	,	,	PUNCT
cana-1632	90	182	solution	solution	NOUN
cana-1632	90	183	quality	quality	NOUN
cana-1632	90	184	may	may	AUX
cana-1632	90	185	depend	depend	VERB
cana-1632	90	186	on	on	ADP
cana-1632	90	187	parameter	parameter	NOUN
cana-1632	90	188	tuning	tune	VERB
cana-1632	90	189	predictive	predictive	ADJ
cana-1632	90	190	maintenance	maintenance	NOUN
cana-1632	90	191	and	and	CCONJ
cana-1632	90	192	load	load	NOUN
cana-1632	90	193	forecasting	forecasting	NOUN
cana-1632	90	194	machine	machine	NOUN
cana-1632	90	195	learning	learning	NOUN
cana-1632	90	196	(	(	PUNCT
cana-1632	90	197	neural	neural	ADJ
cana-1632	90	198	networks	network	NOUN
cana-1632	90	199	,	,	PUNCT
cana-1632	90	200	support	support	VERB
cana-1632	90	201	vector	vector	NOUN
cana-1632	90	202	machines	machine	NOUN
cana-1632	90	203	,	,	PUNCT
cana-1632	90	204	reinforcement	reinforcement	NOUN
cana-1632	90	205	learning	learning	NOUN
cana-1632	90	206	)	)	PUNCT
cana-1632	90	207	improved	improve	VERB
cana-1632	90	208	predictive	predictive	ADJ
cana-1632	90	209	maintenance	maintenance	NOUN
cana-1632	90	210	schedules	schedule	NOUN
cana-1632	90	211	and	and	CCONJ
cana-1632	90	212	accurate	accurate	ADJ
cana-1632	90	213	load	load	NOUN
cana-1632	90	214	forecasting	forecast	VERB
cana-1632	90	215	real	real	ADJ
cana-1632	90	216	-	-	PUNCT
cana-1632	90	217	time	time	NOUN
cana-1632	90	218	decision	decision	NOUN
cana-1632	90	219	-	-	PUNCT
cana-1632	90	220	making	making	NOUN
cana-1632	90	221	,	,	PUNCT
cana-1632	90	222	adaptive	adaptive	ADJ
cana-1632	90	223	control	control	NOUN
cana-1632	90	224	,	,	PUNCT
cana-1632	90	225	predictive	predictive	ADJ
cana-1632	90	226	insights	insight	NOUN
cana-1632	90	227	requires	require	VERB
cana-1632	90	228	large	large	ADJ
cana-1632	90	229	datasets	dataset	NOUN
cana-1632	90	230	,	,	PUNCT
cana-1632	90	231	model	model	NOUN
cana-1632	90	232	training	training	NOUN
cana-1632	90	233	complexity	complexity	NOUN
cana-1632	90	234	,	,	PUNCT
cana-1632	90	235	integration	integration	NOUN
cana-1632	90	236	with	with	ADP
cana-1632	90	237	existing	exist	VERB
cana-1632	90	238	systems	system	NOUN
cana-1632	90	239	smart	smart	ADJ
cana-1632	90	240	grid	grid	NOUN
cana-1632	90	241	management	management	NOUN
cana-1632	90	242	advanced	advanced	ADJ
cana-1632	90	243	optimization	optimization	NOUN
cana-1632	90	244	frameworks	framework	NOUN
cana-1632	90	245	efficient	efficient	ADJ
cana-1632	90	246	management	management	NOUN
cana-1632	90	247	of	of	ADP
cana-1632	90	248	distributed	distribute	VERB
cana-1632	90	249	energy	energy	NOUN
cana-1632	90	250	resources	resource	NOUN
cana-1632	90	251	(	(	PUNCT
cana-1632	90	252	ders	ders	PROPN
cana-1632	90	253	)	)	PUNCT
cana-1632	90	254	,	,	PUNCT
cana-1632	90	255	enhanced	enhance	VERB
cana-1632	90	256	demand	demand	NOUN
cana-1632	90	257	response	response	NOUN
cana-1632	90	258	,	,	PUNCT
cana-1632	90	259	grid	grid	NOUN
cana-1632	90	260	stability	stability	NOUN
cana-1632	90	261	real	real	ADJ
cana-1632	90	262	-	-	PUNCT
cana-1632	90	263	time	time	NOUN
cana-1632	90	264	monitoring	monitoring	NOUN
cana-1632	90	265	and	and	CCONJ
cana-1632	90	266	control	control	NOUN
cana-1632	90	267	,	,	PUNCT
cana-1632	90	268	adaptability	adaptability	NOUN
cana-1632	90	269	to	to	ADP
cana-1632	90	270	changing	change	VERB
cana-1632	90	271	conditions	condition	NOUN
cana-1632	90	272	,	,	PUNCT
cana-1632	90	273	integration	integration	NOUN
cana-1632	90	274	with	with	ADP
cana-1632	90	275	smart	smart	ADJ
cana-1632	90	276	grid	grid	NOUN
cana-1632	90	277	technologies	technology	NOUN
cana-1632	90	278	high	high	ADJ
cana-1632	90	279	implementation	implementation	NOUN
cana-1632	90	280	cost	cost	NOUN
cana-1632	90	281	,	,	PUNCT
cana-1632	90	282	data	datum	NOUN
cana-1632	90	283	security	security	NOUN
cana-1632	90	284	concerns	concern	NOUN
cana-1632	90	285	,	,	PUNCT
cana-1632	90	286	need	need	VERB
cana-1632	90	287	for	for	ADP
cana-1632	90	288	robust	robust	ADJ
cana-1632	90	289	communication	communication	NOUN
cana-1632	90	290	infrastructure	infrastructure	NOUN
cana-1632	90	291	hybrid	hybrid	ADJ
cana-1632	90	292	optimization	optimization	NOUN
cana-1632	90	293	approaches	approach	VERB
cana-1632	90	294	combination	combination	NOUN
cana-1632	90	295	of	of	ADP
cana-1632	90	296	classical	classical	ADJ
cana-1632	90	297	and	and	CCONJ
cana-1632	90	298	metaheuristic	metaheuristic	ADJ
cana-1632	90	299	methods	method	NOUN
cana-1632	90	300	achieved	achieve	VERB
cana-1632	90	301	better	well	ADJ
cana-1632	90	302	performance	performance	NOUN
cana-1632	90	303	by	by	ADP
cana-1632	90	304	combining	combine	VERB
cana-1632	90	305	strengths	strength	NOUN
cana-1632	90	306	of	of	ADP
cana-1632	90	307	different	different	ADJ
cana-1632	90	308	algorithms	algorithm	NOUN
cana-1632	90	309	enhanced	enhance	VERB
cana-1632	90	310	solution	solution	NOUN
cana-1632	90	311	quality	quality	NOUN
cana-1632	90	312	,	,	PUNCT
cana-1632	90	313	improved	improve	VERB
cana-1632	90	314	computational	computational	ADJ
cana-1632	90	315	efficiency	efficiency	NOUN
cana-1632	90	316	complexity	complexity	NOUN
cana-1632	90	317	in	in	ADP
cana-1632	90	318	algorithm	algorithm	NOUN
cana-1632	90	319	design	design	NOUN
cana-1632	90	320	,	,	PUNCT
cana-1632	90	321	integration	integration	NOUN
cana-1632	90	322	challenges	challenge	VERB
cana-1632	90	323	emerging	emerge	VERB
cana-1632	90	324	technologies	technology	NOUN
cana-1632	90	325	integration	integration	NOUN
cana-1632	90	326	blockchain	blockchain	NOUN
cana-1632	90	327	,	,	PUNCT
cana-1632	90	328	internet	internet	NOUN
cana-1632	90	329	of	of	ADP
cana-1632	90	330	things	thing	NOUN
cana-1632	90	331	(	(	PUNCT
cana-1632	90	332	iot	iot	NOUN
cana-1632	90	333	)	)	PUNCT
cana-1632	90	334	improved	improved	ADJ
cana-1632	90	335	data	datum	NOUN
cana-1632	90	336	security	security	NOUN
cana-1632	90	337	,	,	PUNCT
cana-1632	90	338	connectivity	connectivity	NOUN
cana-1632	90	339	,	,	PUNCT
cana-1632	90	340	and	and	CCONJ
cana-1632	90	341	real	real	ADJ
cana-1632	90	342	-	-	PUNCT
cana-1632	90	343	time	time	NOUN
cana-1632	90	344	optimization	optimization	NOUN
cana-1632	90	345	enhanced	enhance	VERB
cana-1632	90	346	data	datum	NOUN
cana-1632	90	347	integrity	integrity	NOUN
cana-1632	90	348	,	,	PUNCT
cana-1632	90	349	secure	secure	ADJ
cana-1632	90	350	transactions	transaction	NOUN
cana-1632	90	351	,	,	PUNCT
cana-1632	90	352	better	well	ADJ
cana-1632	90	353	connectivity	connectivity	NOUN
cana-1632	90	354	high	high	ADJ
cana-1632	90	355	implementation	implementation	NOUN
cana-1632	90	356	and	and	CCONJ
cana-1632	90	357	maintenance	maintenance	NOUN
cana-1632	90	358	costs	cost	NOUN
cana-1632	90	359	,	,	PUNCT
cana-1632	90	360	need	need	VERB
cana-1632	90	361	for	for	ADP
cana-1632	90	362	standardized	standardized	ADJ
cana-1632	90	363	communications	communication	NOUN
cana-1632	90	364	on	on	ADP
cana-1632	90	365	applied	apply	VERB
cana-1632	90	366	nonlinear	nonlinear	ADJ
cana-1632	90	367	analysis	analysis	NOUN
cana-1632	90	368	issn	issn	NOUN
cana-1632	90	369	:	:	PUNCT
cana-1632	90	370	1074	1074	NUM
cana-1632	90	371	-	-	PUNCT
cana-1632	90	372	133x	133x	NUM
cana-1632	90	373	vol	vol	NOUN
cana-1632	90	374	32	32	NUM
cana-1632	90	375	no	no	NOUN
cana-1632	90	376	.	.	NOUN
cana-1632	90	377	1	1	NUM
cana-1632	90	378	(	(	PUNCT
cana-1632	90	379	2025	2025	NUM
cana-1632	90	380	)	)	PUNCT
cana-1632	90	381	217	217	NUM
cana-1632	90	382	https://internationalpubls.com	https://internationalpubls.com	X
cana-1632	90	383	protocols	protocol	NOUN
cana-1632	90	384	3	3	X
cana-1632	90	385	.	.	PUNCT
cana-1632	90	386	optimization	optimization	NOUN
cana-1632	90	387	algorithms	algorithm	NOUN
cana-1632	90	388	selection	selection	NOUN
cana-1632	90	389	a.	a.	NOUN
cana-1632	90	390	data	data	PROPN
cana-1632	90	391	collection	collection	NOUN
cana-1632	90	392	and	and	CCONJ
cana-1632	90	393	pre	pre	ADJ
cana-1632	90	394	-	-	ADJ
cana-1632	90	395	processing	processing	NOUN
cana-1632	90	396	in	in	ADP
cana-1632	90	397	electricity	electricity	NOUN
cana-1632	90	398	network	network	NOUN
cana-1632	90	399	design	design	NOUN
cana-1632	90	400	,	,	PUNCT
cana-1632	90	401	gathering	gather	VERB
cana-1632	90	402	data	datum	NOUN
cana-1632	90	403	is	be	AUX
cana-1632	90	404	the	the	DET
cana-1632	90	405	first	first	ADJ
cana-1632	90	406	step	step	NOUN
cana-1632	90	407	in	in	ADP
cana-1632	90	408	any	any	DET
cana-1632	90	409	improvement	improvement	NOUN
cana-1632	90	410	process	process	NOUN
cana-1632	90	411	.	.	PUNCT
cana-1632	91	1	the	the	DET
cana-1632	91	2	important	important	ADJ
cana-1632	91	3	information	information	NOUN
cana-1632	91	4	includes	include	VERB
cana-1632	91	5	:	:	PUNCT
cana-1632	91	6	•	•	ADJ
cana-1632	91	7	load	load	NOUN
cana-1632	91	8	profiles	profile	NOUN
cana-1632	91	9	(	(	PUNCT
cana-1632	91	10	p_l	p_l	NOUN
cana-1632	91	11	)	)	PUNCT
cana-1632	91	12	are	be	AUX
cana-1632	91	13	time	time	NOUN
cana-1632	91	14	-	-	PUNCT
cana-1632	91	15	varying	vary	VERB
cana-1632	91	16	data	datum	NOUN
cana-1632	91	17	that	that	PRON
cana-1632	91	18	show	show	VERB
cana-1632	91	19	how	how	SCONJ
cana-1632	91	20	much	much	ADJ
cana-1632	91	21	power	power	NOUN
cana-1632	91	22	different	different	ADJ
cana-1632	91	23	nodes	node	NOUN
cana-1632	91	24	in	in	ADP
cana-1632	91	25	the	the	DET
cana-1632	91	26	network	network	NOUN
cana-1632	91	27	need	need	NOUN
cana-1632	91	28	.	.	PUNCT
cana-1632	92	1	•	•	NUM
cana-1632	92	2	generation	generation	NOUN
cana-1632	92	3	capacities	capacity	NOUN
cana-1632	92	4	(	(	PUNCT
cana-1632	92	5	p_g	p_g	ADV
cana-1632	92	6	):	):	PUNCT
cana-1632	92	7	the	the	DET
cana-1632	92	8	most	most	ADJ
cana-1632	92	9	power	power	NOUN
cana-1632	92	10	that	that	SCONJ
cana-1632	92	11	different	different	ADJ
cana-1632	92	12	sources	source	NOUN
cana-1632	92	13	in	in	ADP
cana-1632	92	14	the	the	DET
cana-1632	92	15	network	network	NOUN
cana-1632	92	16	can	can	AUX
cana-1632	92	17	produce	produce	VERB
cana-1632	92	18	.	.	PUNCT
cana-1632	93	1	•	•	NUM
cana-1632	93	2	network	network	NOUN
cana-1632	93	3	topology	topology	NOUN
cana-1632	93	4	(	(	PUNCT
cana-1632	93	5	a	a	X
cana-1632	93	6	):	):	PUNCT
cana-1632	93	7	the	the	DET
cana-1632	93	8	connectedness	connectedness	NOUN
cana-1632	93	9	grid	grid	NOUN
cana-1632	93	10	shows	show	VERB
cana-1632	93	11	how	how	SCONJ
cana-1632	93	12	the	the	DET
cana-1632	93	13	network	network	NOUN
cana-1632	93	14	's	's	PART
cana-1632	93	15	nodes	node	NOUN
cana-1632	93	16	(	(	PUNCT
cana-1632	93	17	buses	bus	NOUN
cana-1632	93	18	)	)	PUNCT
cana-1632	93	19	and	and	CCONJ
cana-1632	93	20	edges	edge	NOUN
cana-1632	93	21	(	(	PUNCT
cana-1632	93	22	transmission	transmission	NOUN
cana-1632	93	23	lines	line	NOUN
cana-1632	93	24	)	)	PUNCT
cana-1632	93	25	are	be	AUX
cana-1632	93	26	laid	lay	VERB
cana-1632	93	27	out	out	ADP
cana-1632	93	28	and	and	CCONJ
cana-1632	93	29	linked	link	VERB
cana-1632	93	30	to	to	ADP
cana-1632	93	31	each	each	DET
cana-1632	93	32	other	other	ADJ
cana-1632	93	33	.	.	PUNCT
cana-1632	94	1	•	•	NUM
cana-1632	94	2	performance	performance	NOUN
cana-1632	94	3	metrics	metric	NOUN
cana-1632	94	4	from	from	ADP
cana-1632	94	5	the	the	DET
cana-1632	94	6	past	past	NOUN
cana-1632	94	7	:	:	PUNCT
cana-1632	94	8	voltage	voltage	NOUN
cana-1632	94	9	levels	level	NOUN
cana-1632	94	10	,	,	PUNCT
cana-1632	94	11	power	power	NOUN
cana-1632	94	12	losses	loss	NOUN
cana-1632	94	13	,	,	PUNCT
cana-1632	94	14	failures	failure	NOUN
cana-1632	94	15	,	,	PUNCT
cana-1632	94	16	and	and	CCONJ
cana-1632	94	17	dependability	dependability	NOUN
cana-1632	94	18	metrics	metric	NOUN
cana-1632	94	19	from	from	ADP
cana-1632	94	20	the	the	DET
cana-1632	94	21	past	past	NOUN
cana-1632	94	22	.	.	PUNCT
cana-1632	95	1	in	in	ADP
cana-1632	95	2	terms	term	NOUN
cana-1632	95	3	of	of	ADP
cana-1632	95	4	math	math	NOUN
cana-1632	95	5	,	,	PUNCT
cana-1632	95	6	this	this	PRON
cana-1632	95	7	can	can	AUX
cana-1632	95	8	be	be	AUX
cana-1632	95	9	shown	show	VERB
cana-1632	95	10	as	as	ADP
cana-1632	95	11	:	:	PUNCT
cana-1632	95	12	𝐷	𝐷	NOUN
cana-1632	95	13	=	=	PUNCT
cana-1632	95	14	{	{	PUNCT
cana-1632	95	15	𝑃𝐿(𝑡	𝑃𝐿(𝑡	ADV
cana-1632	95	16	)	)	PUNCT
cana-1632	95	17	,	,	PUNCT
cana-1632	95	18	𝑃𝐺(𝑖	𝑃𝐺(𝑖	PROPN
cana-1632	95	19	)	)	PUNCT
cana-1632	95	20	,	,	PUNCT
cana-1632	95	21	α	α	X
cana-1632	95	22	,	,	PUNCT
cana-1632	95	23	h	h	NOUN
cana-1632	95	24	}	}	PUNCT
cana-1632	95	25	where	where	SCONJ
cana-1632	95	26	t	t	PROPN
cana-1632	95	27	denotes	denote	VERB
cana-1632	95	28	time	time	NOUN
cana-1632	95	29	,	,	PUNCT
cana-1632	95	30	i	i	PRON
cana-1632	95	31	denotes	denote	VERB
cana-1632	95	32	different	different	ADJ
cana-1632	95	33	generators	generator	NOUN
cana-1632	95	34	,	,	PUNCT
cana-1632	95	35	and	and	CCONJ
cana-1632	95	36	h	h	NOUN
cana-1632	95	37	represents	represent	VERB
cana-1632	95	38	historical	historical	ADJ
cana-1632	95	39	metrics	metric	NOUN
cana-1632	95	40	.	.	PUNCT
cana-1632	96	1	preprocessing	preprocesse	VERB
cana-1632	96	2	ensures	ensure	VERB
cana-1632	96	3	data	datum	NOUN
cana-1632	96	4	accuracy	accuracy	NOUN
cana-1632	96	5	and	and	CCONJ
cana-1632	96	6	consistency	consistency	NOUN
cana-1632	96	7	,	,	PUNCT
cana-1632	96	8	involving	involve	VERB
cana-1632	96	9	several	several	ADJ
cana-1632	96	10	steps	step	NOUN
cana-1632	96	11	:	:	PUNCT
cana-1632	96	12	1	1	X
cana-1632	96	13	.	.	X
cana-1632	96	14	handling	handle	VERB
cana-1632	96	15	missing	miss	VERB
cana-1632	96	16	values	value	NOUN
cana-1632	96	17	:	:	PUNCT
cana-1632	96	18	•	•	NUM
cana-1632	96	19	interpolation	interpolation	NOUN
cana-1632	96	20	:	:	PUNCT
cana-1632	96	21	estimate	estimate	VERB
cana-1632	96	22	missing	miss	VERB
cana-1632	96	23	values	value	NOUN
cana-1632	96	24	using	use	VERB
cana-1632	96	25	methods	method	NOUN
cana-1632	96	26	like	like	ADP
cana-1632	96	27	linear	linear	ADJ
cana-1632	96	28	interpolation	interpolation	NOUN
cana-1632	96	29	or	or	CCONJ
cana-1632	96	30	spline	spline	NOUN
cana-1632	96	31	interpolation	interpolation	NOUN
cana-1632	96	32	.	.	PUNCT
cana-1632	97	1	𝑃𝐿(𝑡	𝑃𝐿(𝑡	ADV
cana-1632	97	2	)	)	PUNCT
cana-1632	98	1	≈	≈	ADV
cana-1632	98	2	𝑃𝐿(𝑡	𝑃𝐿(𝑡	ADV
cana-1632	98	3	−	−	NOUN
cana-1632	98	4	1	1	X
cana-1632	98	5	)	)	PUNCT
cana-1632	98	6	+	+	CCONJ
cana-1632	98	7	𝑃𝐿(𝑡	𝑃𝐿(𝑡	ADV
cana-1632	98	8	+	+	X
cana-1632	98	9	1	1	X
cana-1632	98	10	)	)	SYM
cana-1632	98	11	2	2	NUM
cana-1632	98	12	•	•	NOUN
cana-1632	98	13	imputation	imputation	NOUN
cana-1632	98	14	:	:	PUNCT
cana-1632	98	15	replace	replace	VERB
cana-1632	98	16	missing	missing	ADJ
cana-1632	98	17	values	value	NOUN
cana-1632	98	18	with	with	ADP
cana-1632	98	19	statistical	statistical	ADJ
cana-1632	98	20	measures	measure	NOUN
cana-1632	98	21	such	such	ADJ
cana-1632	98	22	as	as	ADP
cana-1632	98	23	mean	mean	NOUN
cana-1632	98	24	or	or	CCONJ
cana-1632	98	25	median	median	ADJ
cana-1632	98	26	.	.	PUNCT
cana-1632	99	1	𝑃𝐿(𝑡	𝑃𝐿(𝑡	ADV
cana-1632	99	2	)	)	PUNCT
cana-1632	100	1	=	=	SYM
cana-1632	100	2	1	1	NUM
cana-1632	100	3	𝑁	𝑁	PROPN
cana-1632	100	4	∑𝑃𝐿(𝑖	∑𝑃𝐿(𝑖	NUM
cana-1632	100	5	)	)	PUNCT
cana-1632	101	1	𝑁	𝑁	PROPN
cana-1632	101	2	𝑖=1	𝑖=1	PROPN
cana-1632	101	3	where	where	SCONJ
cana-1632	101	4	n	n	PRON
cana-1632	101	5	is	be	AUX
cana-1632	101	6	the	the	DET
cana-1632	101	7	total	total	ADJ
cana-1632	101	8	number	number	NOUN
cana-1632	101	9	of	of	ADP
cana-1632	101	10	observations	observation	NOUN
cana-1632	101	11	.	.	PUNCT
cana-1632	102	1	2	2	X
cana-1632	102	2	.	.	X
cana-1632	102	3	normalization	normalization	NOUN
cana-1632	102	4	:	:	PUNCT
cana-1632	102	5	•	•	NUM
cana-1632	102	6	scale	scale	VERB
cana-1632	102	7	the	the	DET
cana-1632	102	8	data	datum	NOUN
cana-1632	102	9	to	to	ADP
cana-1632	102	10	a	a	DET
cana-1632	102	11	uniform	uniform	ADJ
cana-1632	102	12	range	range	NOUN
cana-1632	102	13	,	,	PUNCT
cana-1632	102	14	typically	typically	ADV
cana-1632	102	15	[	[	X
cana-1632	102	16	0	0	NUM
cana-1632	102	17	,	,	PUNCT
cana-1632	102	18	1	1	NUM
cana-1632	102	19	]	]	PUNCT
cana-1632	102	20	or	or	CCONJ
cana-1632	102	21	[	[	X
cana-1632	102	22	−1	−1	NOUN
cana-1632	102	23	,	,	PUNCT
cana-1632	102	24	1	1	NUM
cana-1632	102	25	]	]	PUNCT
cana-1632	102	26	,	,	PUNCT
cana-1632	102	27	to	to	PART
cana-1632	102	28	improve	improve	VERB
cana-1632	102	29	the	the	DET
cana-1632	102	30	performance	performance	NOUN
cana-1632	102	31	of	of	ADP
cana-1632	102	32	optimization	optimization	NOUN
cana-1632	102	33	algorithms	algorithm	NOUN
cana-1632	102	34	.	.	PUNCT
cana-1632	103	1	𝑃𝐿	𝑃𝐿	ADJ
cana-1632	103	2	𝑛𝑜𝑟𝑚(𝑡	𝑛𝑜𝑟𝑚(𝑡	NOUN
cana-1632	103	3	)	)	PUNCT
cana-1632	103	4	=	=	VERB
cana-1632	103	5	𝑃𝐿(𝑡)−𝑃𝐿	𝑃𝐿(𝑡)−𝑃𝐿	ADJ
cana-1632	103	6	𝑚𝑖𝑛	𝑚𝑖𝑛	NOUN
cana-1632	103	7	𝑃𝐿	𝑃𝐿	PROPN
cana-1632	103	8	𝑚𝑎𝑥−𝑃𝐿	𝑚𝑎𝑥−𝑃𝐿	PROPN
cana-1632	103	9	𝑚𝑖𝑛	𝑚𝑖𝑛	NOUN
cana-1632	103	10	where	where	SCONJ
cana-1632	103	11	𝑃𝐿	𝑃𝐿	PROPN
cana-1632	103	12	𝑚𝑖𝑛	𝑚𝑖𝑛	NOUN
cana-1632	103	13	and	and	CCONJ
cana-1632	103	14	𝑃𝐿	𝑃𝐿	PROPN
cana-1632	103	15	𝑚𝑎𝑥	𝑚𝑎𝑥	NOUN
cana-1632	103	16	are	be	AUX
cana-1632	103	17	the	the	DET
cana-1632	103	18	minimum	minimum	ADJ
cana-1632	103	19	and	and	CCONJ
cana-1632	103	20	maximum	maximum	ADJ
cana-1632	103	21	load	load	NOUN
cana-1632	103	22	values	value	NOUN
cana-1632	103	23	,	,	PUNCT
cana-1632	103	24	respectively	respectively	ADV
cana-1632	103	25	.	.	PUNCT
cana-1632	104	1	3	3	X
cana-1632	104	2	.	.	X
cana-1632	104	3	transforming	transform	VERB
cana-1632	104	4	variables	variable	NOUN
cana-1632	104	5	:	:	PUNCT
cana-1632	104	6	•	•	NUM
cana-1632	104	7	log	log	NOUN
cana-1632	104	8	transformation	transformation	NOUN
cana-1632	104	9	:	:	PUNCT
cana-1632	104	10	apply	apply	VERB
cana-1632	104	11	logarithmic	logarithmic	ADJ
cana-1632	104	12	transformation	transformation	NOUN
cana-1632	104	13	to	to	PART
cana-1632	104	14	reduce	reduce	VERB
cana-1632	104	15	skewness	skewness	NOUN
cana-1632	104	16	.	.	PUNCT
cana-1632	105	1	𝑃𝐿	𝑃𝐿	PROPN
cana-1632	105	2	𝐿𝑜𝑔(𝑡	𝐿𝑜𝑔(𝑡	ADJ
cana-1632	105	3	)	)	PUNCT
cana-1632	105	4	=	=	SYM
cana-1632	105	5	log⁡(𝑃𝐿(𝑡	log⁡(𝑃𝐿(𝑡	X
cana-1632	105	6	)	)	PUNCT
cana-1632	105	7	+	+	CCONJ
cana-1632	105	8	1	1	X
cana-1632	105	9	)	)	PUNCT
cana-1632	105	10	communications	communication	NOUN
cana-1632	105	11	on	on	ADP
cana-1632	105	12	applied	apply	VERB
cana-1632	105	13	nonlinear	nonlinear	ADJ
cana-1632	105	14	analysis	analysis	NOUN
cana-1632	105	15	issn	issn	NOUN
cana-1632	105	16	:	:	PUNCT
cana-1632	105	17	1074	1074	NUM
cana-1632	105	18	-	-	PUNCT
cana-1632	105	19	133x	133x	NUM
cana-1632	105	20	vol	vol	NOUN
cana-1632	105	21	32	32	NUM
cana-1632	105	22	no	no	NOUN
cana-1632	105	23	.	.	NOUN
cana-1632	105	24	1	1	NUM
cana-1632	105	25	(	(	PUNCT
cana-1632	105	26	2025	2025	NUM
cana-1632	105	27	)	)	PUNCT
cana-1632	105	28	218	218	NUM
cana-1632	105	29	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-1632	105	30	•	•	NOUN
cana-1632	105	31	differencing	differencing	NOUN
cana-1632	105	32	:	:	PUNCT
cana-1632	105	33	use	use	VERB
cana-1632	105	34	differencing	difference	VERB
cana-1632	105	35	to	to	PART
cana-1632	105	36	make	make	VERB
cana-1632	105	37	the	the	DET
cana-1632	105	38	data	datum	NOUN
cana-1632	105	39	stationary	stationary	NOUN
cana-1632	105	40	,	,	PUNCT
cana-1632	105	41	which	which	PRON
cana-1632	105	42	is	be	AUX
cana-1632	105	43	often	often	ADV
cana-1632	105	44	required	require	VERB
cana-1632	105	45	for	for	ADP
cana-1632	105	46	time	time	NOUN
cana-1632	105	47	series	series	PROPN
cana-1632	105	48	analysis	analysis	NOUN
cana-1632	105	49	.	.	PUNCT
cana-1632	106	1	∆𝑃𝐿(𝑡	∆𝑃𝐿(𝑡	NOUN
cana-1632	106	2	)	)	PUNCT
cana-1632	106	3	=	=	SYM
cana-1632	106	4	𝑃𝐿(𝑡	𝑃𝐿(𝑡	X
cana-1632	106	5	)	)	PUNCT
cana-1632	106	6	−	−	ADP
cana-1632	106	7	𝑃𝐿(𝑡	𝑃𝐿(𝑡	ADV
cana-1632	106	8	−	−	ADP
cana-1632	106	9	1	1	NUM
cana-1632	106	10	)	)	SYM
cana-1632	106	11	4	4	NUM
cana-1632	106	12	.	.	PUNCT
cana-1632	106	13	outlier	outlier	NOUN
cana-1632	106	14	detection	detection	NOUN
cana-1632	106	15	and	and	CCONJ
cana-1632	106	16	removal	removal	NOUN
cana-1632	106	17	:	:	PUNCT
cana-1632	107	1	𝑍𝑖	𝑍𝑖	PROPN
cana-1632	107	2	=	=	NOUN
cana-1632	107	3	𝑃𝐿(𝑖	𝑃𝐿(𝑖	NOUN
cana-1632	107	4	)	)	PUNCT
cana-1632	108	1	−	−	PROPN
cana-1632	109	1	𝜇𝑃𝐿	𝜇𝑃𝐿	NOUN
cana-1632	109	2	𝜎𝑃𝐿	𝜎𝑃𝐿	ADV
cana-1632	109	3	where	where	SCONJ
cana-1632	109	4	𝜇𝑃𝐿	𝜇𝑃𝐿	PROPN
cana-1632	109	5	and	and	CCONJ
cana-1632	109	6	𝜎𝑃𝐿	𝜎𝑃𝐿	NOUN
cana-1632	109	7	are	be	AUX
cana-1632	109	8	the	the	DET
cana-1632	109	9	mean	mean	ADJ
cana-1632	109	10	and	and	CCONJ
cana-1632	109	11	standard	standard	ADJ
cana-1632	109	12	deviation	deviation	NOUN
cana-1632	109	13	of	of	ADP
cana-1632	109	14	𝑃𝐿.	𝑃𝐿.	X
cana-1632	109	15	by	by	ADP
cana-1632	109	16	completely	completely	ADV
cana-1632	109	17	preprocessing	preprocesse	VERB
cana-1632	109	18	the	the	DET
cana-1632	109	19	information	information	NOUN
cana-1632	109	20	,	,	PUNCT
cana-1632	109	21	the	the	DET
cana-1632	109	22	unwavering	unwavering	ADJ
cana-1632	109	23	quality	quality	NOUN
cana-1632	109	24	and	and	CCONJ
cana-1632	109	25	productivity	productivity	NOUN
cana-1632	109	26	of	of	ADP
cana-1632	109	27	ensuing	ensue	VERB
cana-1632	109	28	optimization	optimization	NOUN
cana-1632	109	29	calculations	calculation	NOUN
cana-1632	109	30	are	be	AUX
cana-1632	109	31	altogether	altogether	ADV
cana-1632	109	32	upgraded	upgrade	VERB
cana-1632	109	33	,	,	PUNCT
cana-1632	109	34	driving	drive	VERB
cana-1632	109	35	to	to	ADP
cana-1632	109	36	more	more	ADV
cana-1632	109	37	precise	precise	ADJ
cana-1632	109	38	and	and	CCONJ
cana-1632	109	39	significant	significant	ADJ
cana-1632	109	40	bits	bit	NOUN
cana-1632	109	41	of	of	ADP
cana-1632	109	42	knowledge	knowledge	NOUN
cana-1632	109	43	for	for	ADP
cana-1632	109	44	electrical	electrical	ADJ
cana-1632	109	45	organize	organize	NOUN
cana-1632	109	46	plan	plan	NOUN
cana-1632	109	47	.	.	PUNCT
cana-1632	110	1	•	•	NUM
cana-1632	110	2	genetic	genetic	ADJ
cana-1632	110	3	algorithm	algorithm	NOUN
cana-1632	110	4	(	(	PUNCT
cana-1632	110	5	ga	ga	PROPN
cana-1632	110	6	)	)	PUNCT
cana-1632	110	7	for	for	ADP
cana-1632	110	8	optimization	optimization	NOUN
cana-1632	110	9	in	in	ADP
cana-1632	110	10	electrical	electrical	ADJ
cana-1632	110	11	network	network	NOUN
cana-1632	110	12	design	design	VERB
cana-1632	110	13	the	the	DET
cana-1632	110	14	genetic	genetic	ADJ
cana-1632	110	15	algorithm	algorithm	NOUN
cana-1632	110	16	(	(	PUNCT
cana-1632	110	17	ga	ga	NOUN
cana-1632	110	18	)	)	PUNCT
cana-1632	110	19	is	be	AUX
cana-1632	110	20	a	a	DET
cana-1632	110	21	type	type	NOUN
cana-1632	110	22	of	of	ADP
cana-1632	110	23	metaheuristic	metaheuristic	NOUN
cana-1632	110	24	that	that	PRON
cana-1632	110	25	is	be	AUX
cana-1632	110	26	based	base	VERB
cana-1632	110	27	on	on	ADP
cana-1632	110	28	the	the	DET
cana-1632	110	29	idea	idea	NOUN
cana-1632	110	30	of	of	ADP
cana-1632	110	31	natural	natural	ADJ
cana-1632	110	32	selection	selection	NOUN
cana-1632	110	33	.	.	PUNCT
cana-1632	111	1	it	it	PRON
cana-1632	111	2	works	work	VERB
cana-1632	111	3	really	really	ADV
cana-1632	111	4	well	well	ADV
cana-1632	111	5	for	for	ADP
cana-1632	111	6	fixing	fix	VERB
cana-1632	111	7	tricky	tricky	ADJ
cana-1632	111	8	,	,	PUNCT
cana-1632	111	9	nonlinear	nonlinear	ADJ
cana-1632	111	10	,	,	PUNCT
cana-1632	111	11	and	and	CCONJ
cana-1632	111	12	multi	multi	ADJ
cana-1632	111	13	-	-	ADJ
cana-1632	111	14	objective	objective	ADJ
cana-1632	111	15	optimization	optimization	NOUN
cana-1632	111	16	issues	issue	NOUN
cana-1632	111	17	.	.	PUNCT
cana-1632	112	1	figure	figure	VERB
cana-1632	112	2	1	1	NUM
cana-1632	112	3	:	:	PUNCT
cana-1632	112	4	block	block	NOUN
cana-1632	112	5	diagram	diagram	NOUN
cana-1632	112	6	of	of	ADP
cana-1632	112	7	optimization	optimization	NOUN
cana-1632	112	8	algorithms	algorithm	NOUN
cana-1632	112	9	in	in	ADP
cana-1632	112	10	electrical	electrical	ADJ
cana-1632	112	11	network	network	NOUN
cana-1632	112	12	design	design	NOUN
cana-1632	112	13	here	here	ADV
cana-1632	112	14	is	be	AUX
cana-1632	112	15	a	a	DET
cana-1632	112	16	full	full	ADJ
cana-1632	112	17	,	,	PUNCT
cana-1632	112	18	step	step	NOUN
cana-1632	112	19	-	-	PUNCT
cana-1632	112	20	by	by	ADP
cana-1632	112	21	-	-	PUNCT
cana-1632	112	22	step	step	NOUN
cana-1632	112	23	guide	guide	NOUN
cana-1632	112	24	to	to	ADP
cana-1632	112	25	making	make	VERB
cana-1632	112	26	a	a	DET
cana-1632	112	27	ga	ga	NOUN
cana-1632	112	28	,	,	PUNCT
cana-1632	112	29	with	with	ADP
cana-1632	112	30	math	math	NOUN
cana-1632	112	31	solutions	solution	NOUN
cana-1632	112	32	for	for	ADP
cana-1632	112	33	each	each	DET
cana-1632	112	34	step	step	NOUN
cana-1632	112	35	.	.	PUNCT
cana-1632	112	36	:	:	PUNCT
cana-1632	113	1	step	step	NOUN
cana-1632	113	2	1	1	NUM
cana-1632	113	3	:	:	PUNCT
cana-1632	113	4	initialization	initialization	NOUN
cana-1632	113	5	•	•	NUM
cana-1632	113	6	population	population	NOUN
cana-1632	113	7	generation	generation	NOUN
cana-1632	113	8	(	(	PUNCT
cana-1632	113	9	𝑃0	𝑃0	PROPN
cana-1632	113	10	):	):	PUNCT
cana-1632	113	11	generate	generate	VERB
cana-1632	113	12	an	an	DET
cana-1632	113	13	initial	initial	ADJ
cana-1632	113	14	population	population	NOUN
cana-1632	113	15	of	of	ADP
cana-1632	113	16	candidate	candidate	NOUN
cana-1632	113	17	solutions	solution	NOUN
cana-1632	113	18	randomly	randomly	ADV
cana-1632	113	19	.	.	PUNCT
cana-1632	114	1	𝑃0	𝑃0	PROPN
cana-1632	114	2	=	=	SYM
cana-1632	114	3	{	{	PUNCT
cana-1632	114	4	𝑥1	𝑥1	NOUN
cana-1632	114	5	,	,	PUNCT
cana-1632	114	6	𝑥2	𝑥2	NOUN
cana-1632	114	7	,	,	PUNCT
cana-1632	114	8	…	…	PUNCT
cana-1632	114	9	,	,	PUNCT
cana-1632	114	10	𝑥𝑁	𝑥𝑁	NOUN
cana-1632	114	11	}	}	PUNCT
cana-1632	114	12	where	where	SCONJ
cana-1632	114	13	𝑥𝑖	𝑥𝑖	PRON
cana-1632	114	14	represents	represent	VERB
cana-1632	114	15	a	a	DET
cana-1632	114	16	candidate	candidate	NOUN
cana-1632	114	17	solution	solution	NOUN
cana-1632	114	18	and	and	CCONJ
cana-1632	114	19	n	n	NOUN
cana-1632	114	20	is	be	AUX
cana-1632	114	21	the	the	DET
cana-1632	114	22	population	population	NOUN
cana-1632	114	23	size	size	NOUN
cana-1632	114	24	.	.	PUNCT
cana-1632	115	1	step	step	NOUN
cana-1632	115	2	2	2	NUM
cana-1632	115	3	:	:	PUNCT
cana-1632	115	4	fitness	fitness	NOUN
cana-1632	115	5	evaluation	evaluation	NOUN
cana-1632	115	6	•	•	NUM
cana-1632	115	7	fitness	fitness	NOUN
cana-1632	115	8	function	function	NOUN
cana-1632	115	9	(	(	PUNCT
cana-1632	115	10	𝑓(𝑥	𝑓(𝑥	NOUN
cana-1632	115	11	)	)	PUNCT
cana-1632	115	12	):	):	PUNCT
cana-1632	115	13	evaluate	evaluate	VERB
cana-1632	115	14	the	the	DET
cana-1632	115	15	fitness	fitness	NOUN
cana-1632	115	16	of	of	ADP
cana-1632	115	17	each	each	DET
cana-1632	115	18	candidate	candidate	NOUN
cana-1632	115	19	solution	solution	NOUN
cana-1632	115	20	based	base	VERB
cana-1632	115	21	on	on	ADP
cana-1632	115	22	the	the	DET
cana-1632	115	23	optimization	optimization	NOUN
cana-1632	115	24	objective	objective	NOUN
cana-1632	115	25	.	.	PUNCT
cana-1632	116	1	𝑓(𝑥𝑖	𝑓(𝑥𝑖	PROPN
cana-1632	116	2	)	)	PUNCT
cana-1632	116	3	=	=	SYM
cana-1632	116	4	𝑂𝑏𝑗𝑒𝑐𝑡𝑖𝑣𝑒𝐹𝑢𝑛𝑐𝑡𝑖𝑜𝑛(𝑥𝑖	𝑂𝑏𝑗𝑒𝑐𝑡𝑖𝑣𝑒𝐹𝑢𝑛𝑐𝑡𝑖𝑜𝑛(𝑥𝑖	PROPN
cana-1632	116	5	)	)	PUNCT
cana-1632	116	6	common	common	ADJ
cana-1632	116	7	objectives	objective	NOUN
cana-1632	116	8	in	in	ADP
cana-1632	116	9	electrical	electrical	ADJ
cana-1632	116	10	network	network	NOUN
cana-1632	116	11	design	design	NOUN
cana-1632	116	12	might	might	AUX
cana-1632	116	13	include	include	VERB
cana-1632	116	14	minimizing	minimize	VERB
cana-1632	116	15	power	power	NOUN
cana-1632	116	16	loss	loss	NOUN
cana-1632	116	17	or	or	CCONJ
cana-1632	116	18	maximizing	maximize	VERB
cana-1632	116	19	reliability	reliability	NOUN
cana-1632	116	20	.	.	PUNCT
cana-1632	117	1	communications	communication	NOUN
cana-1632	117	2	on	on	ADP
cana-1632	117	3	applied	apply	VERB
cana-1632	117	4	nonlinear	nonlinear	ADJ
cana-1632	117	5	analysis	analysis	NOUN
cana-1632	117	6	issn	issn	NOUN
cana-1632	117	7	:	:	PUNCT
cana-1632	117	8	1074	1074	NUM
cana-1632	117	9	-	-	PUNCT
cana-1632	117	10	133x	133x	NUM
cana-1632	117	11	vol	vol	NOUN
cana-1632	117	12	32	32	NUM
cana-1632	117	13	no	no	NOUN
cana-1632	117	14	.	.	NOUN
cana-1632	117	15	1	1	NUM
cana-1632	117	16	(	(	PUNCT
cana-1632	117	17	2025	2025	NUM
cana-1632	117	18	)	)	PUNCT
cana-1632	117	19	219	219	NUM
cana-1632	117	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1632	117	21	step	step	NOUN
cana-1632	117	22	3	3	NUM
cana-1632	117	23	:	:	PUNCT
cana-1632	117	24	selection	selection	NOUN
cana-1632	117	25	•	•	NOUN
cana-1632	117	26	selection	selection	NOUN
cana-1632	117	27	mechanism	mechanism	NOUN
cana-1632	117	28	(	(	PUNCT
cana-1632	117	29	s	s	X
cana-1632	117	30	):	):	PUNCT
cana-1632	117	31	select	select	ADJ
cana-1632	117	32	pairs	pair	NOUN
cana-1632	117	33	of	of	ADP
cana-1632	117	34	individuals	individual	NOUN
cana-1632	117	35	for	for	ADP
cana-1632	117	36	reproduction	reproduction	NOUN
cana-1632	117	37	based	base	VERB
cana-1632	117	38	on	on	ADP
cana-1632	117	39	their	their	PRON
cana-1632	117	40	fitness	fitness	NOUN
cana-1632	117	41	.	.	PUNCT
cana-1632	118	1	𝑃𝑠𝑒𝑙𝑒𝑐𝑡𝑒𝑑	𝑃𝑠𝑒𝑙𝑒𝑐𝑡𝑒𝑑	PROPN
cana-1632	118	2	=	=	PUNCT
cana-1632	118	3	{	{	PUNCT
cana-1632	118	4	𝑥𝑖	𝑥𝑖	PROPN
cana-1632	118	5	∈	∈	PROPN
cana-1632	118	6	𝑃𝑡|𝑃𝑟𝑜𝑝𝑎𝑏𝑖𝑙𝑖𝑡𝑦(𝑥𝑖	𝑃𝑡|𝑃𝑟𝑜𝑝𝑎𝑏𝑖𝑙𝑖𝑡𝑦(𝑥𝑖	PROPN
cana-1632	118	7	)	)	PUNCT
cana-1632	118	8	=	=	SYM
cana-1632	118	9	𝑓(𝑥𝑖	𝑓(𝑥𝑖	PROPN
cana-1632	118	10	)	)	PUNCT
cana-1632	118	11	∑	∑	ADV
cana-1632	118	12	𝑓(𝑥𝑗	𝑓(𝑥𝑗	NOUN
cana-1632	118	13	)	)	PUNCT
cana-1632	118	14	𝑁	𝑁	PROPN
cana-1632	118	15	𝑗=1	𝑗=1	PROPN
cana-1632	118	16	}	}	PUNCT
cana-1632	118	17	where	where	SCONJ
cana-1632	118	18	𝑃𝑡	𝑃𝑡	PROPN
cana-1632	118	19	is	be	AUX
cana-1632	118	20	the	the	DET
cana-1632	118	21	current	current	ADJ
cana-1632	118	22	population	population	NOUN
cana-1632	118	23	at	at	ADP
cana-1632	118	24	generation	generation	NOUN
cana-1632	118	25	t.	t.	NOUN
cana-1632	118	26	step	step	NOUN
cana-1632	118	27	4	4	NUM
cana-1632	118	28	:	:	PUNCT
cana-1632	118	29	crossover	crossover	NOUN
cana-1632	118	30	(	(	PUNCT
cana-1632	118	31	recombination	recombination	NOUN
cana-1632	118	32	)	)	PUNCT
cana-1632	118	33	•	•	PUNCT
cana-1632	118	34	crossover	crossover	NOUN
cana-1632	118	35	operation	operation	NOUN
cana-1632	118	36	(	(	PUNCT
cana-1632	118	37	c	c	NOUN
cana-1632	118	38	):	):	PUNCT
cana-1632	118	39	combine	combine	VERB
cana-1632	118	40	pairs	pair	NOUN
cana-1632	118	41	of	of	ADP
cana-1632	118	42	parent	parent	NOUN
cana-1632	118	43	solutions	solution	NOUN
cana-1632	118	44	to	to	PART
cana-1632	118	45	produce	produce	VERB
cana-1632	118	46	offspring	offspring	NOUN
cana-1632	118	47	.	.	PUNCT
cana-1632	119	1	𝐶ℎ𝑖𝑙𝑑	𝐶ℎ𝑖𝑙𝑑	ADJ
cana-1632	119	2	=	=	SYM
cana-1632	119	3	𝐶(𝑃𝑎𝑟𝑒𝑛𝑡1	𝐶(𝑃𝑎𝑟𝑒𝑛𝑡1	NOUN
cana-1632	119	4	,	,	PUNCT
cana-1632	119	5	𝑃𝑎𝑟𝑒𝑛𝑡2	𝑃𝑎𝑟𝑒𝑛𝑡2	PROPN
cana-1632	119	6	)	)	PUNCT
cana-1632	119	7	one	one	NUM
cana-1632	119	8	common	common	ADJ
cana-1632	119	9	method	method	NOUN
cana-1632	119	10	is	be	AUX
cana-1632	119	11	the	the	DET
cana-1632	119	12	single	single	ADJ
cana-1632	119	13	-	-	PUNCT
cana-1632	119	14	point	point	NOUN
cana-1632	119	15	crossover	crossover	NOUN
cana-1632	119	16	:	:	PUNCT
cana-1632	119	17	𝐶ℎ𝑖𝑙𝑑1	𝐶ℎ𝑖𝑙𝑑1	PROPN
cana-1632	120	1	=	=	SYM
cana-1632	121	1	[	[	X
cana-1632	121	2	𝑃𝑎𝑟𝑒𝑛𝑡1(1	𝑃𝑎𝑟𝑒𝑛𝑡1(1	NUM
cana-1632	121	3	:	:	SYM
cana-1632	121	4	𝑘	𝑘	NOUN
cana-1632	121	5	)	)	PUNCT
cana-1632	121	6	,	,	PUNCT
cana-1632	121	7	𝑃𝑎𝑟𝑒𝑛𝑡2(𝑘	𝑃𝑎𝑟𝑒𝑛𝑡2(𝑘	X
cana-1632	121	8	+	+	CCONJ
cana-1632	121	9	1	1	NUM
cana-1632	121	10	:	:	PUNCT
cana-1632	121	11	𝐿	𝐿	NOUN
cana-1632	121	12	)	)	PUNCT
cana-1632	121	13	]	]	PUNCT
cana-1632	121	14	𝐶ℎ𝑖𝑙𝑑2	𝐶ℎ𝑖𝑙𝑑2	PROPN
cana-1632	122	1	=	=	PUNCT
cana-1632	123	1	[	[	X
cana-1632	123	2	𝑃𝑎𝑟𝑒𝑛𝑡2(1	𝑃𝑎𝑟𝑒𝑛𝑡2(1	X
cana-1632	123	3	:	:	PUNCT
cana-1632	123	4	𝑘	𝑘	X
cana-1632	123	5	)	)	PUNCT
cana-1632	123	6	,	,	PUNCT
cana-1632	123	7	𝑃𝑎𝑟𝑒𝑛𝑡1(𝑘	𝑃𝑎𝑟𝑒𝑛𝑡1(𝑘	NOUN
cana-1632	123	8	+	+	CCONJ
cana-1632	123	9	1	1	NUM
cana-1632	123	10	:	:	PUNCT
cana-1632	123	11	𝐿	𝐿	NOUN
cana-1632	123	12	)	)	PUNCT
cana-1632	123	13	]	]	PUNCT
cana-1632	123	14	where	where	SCONJ
cana-1632	123	15	k	k	PROPN
cana-1632	123	16	is	be	AUX
cana-1632	123	17	the	the	DET
cana-1632	123	18	crossover	crossover	NOUN
cana-1632	123	19	point	point	NOUN
cana-1632	123	20	and	and	CCONJ
cana-1632	123	21	l	l	NOUN
cana-1632	123	22	is	be	AUX
cana-1632	123	23	the	the	DET
cana-1632	123	24	length	length	NOUN
cana-1632	123	25	of	of	ADP
cana-1632	123	26	the	the	DET
cana-1632	123	27	solution	solution	NOUN
cana-1632	123	28	representation	representation	NOUN
cana-1632	123	29	.	.	PUNCT
cana-1632	124	1	step	step	NOUN
cana-1632	124	2	5	5	NUM
cana-1632	124	3	:	:	PUNCT
cana-1632	124	4	mutation	mutation	NOUN
cana-1632	124	5	•	•	NUM
cana-1632	124	6	mutation	mutation	NOUN
cana-1632	124	7	operation	operation	NOUN
cana-1632	124	8	(	(	PUNCT
cana-1632	124	9	m	m	NOUN
cana-1632	124	10	):	):	PUNCT
cana-1632	124	11	apply	apply	VERB
cana-1632	124	12	random	random	ADJ
cana-1632	124	13	changes	change	NOUN
cana-1632	124	14	to	to	ADP
cana-1632	124	15	individual	individual	ADJ
cana-1632	124	16	solutions	solution	NOUN
cana-1632	124	17	to	to	PART
cana-1632	124	18	maintain	maintain	VERB
cana-1632	124	19	genetic	genetic	ADJ
cana-1632	124	20	diversity	diversity	NOUN
cana-1632	124	21	.	.	PUNCT
cana-1632	125	1	𝑀𝑢𝑡𝑎𝑛𝑡	𝑀𝑢𝑡𝑎𝑛𝑡	PROPN
cana-1632	125	2	=	=	PUNCT
cana-1632	125	3	𝑀(𝐶ℎ𝑖𝑙𝑑	𝑀(𝐶ℎ𝑖𝑙𝑑	ADJ
cana-1632	125	4	)	)	PUNCT
cana-1632	125	5	flipping	flip	VERB
cana-1632	125	6	a	a	DET
cana-1632	125	7	bit	bit	NOUN
cana-1632	125	8	in	in	ADP
cana-1632	125	9	a	a	DET
cana-1632	125	10	binary	binary	ADJ
cana-1632	125	11	representation	representation	NOUN
cana-1632	125	12	:	:	PUNCT
cana-1632	125	13	𝑀𝑢𝑡𝑎𝑛𝑡(𝑖	𝑀𝑢𝑡𝑎𝑛𝑡(𝑖	X
cana-1632	125	14	)	)	PUNCT
cana-1632	125	15	=	=	PRON
cana-1632	125	16	{	{	PUNCT
cana-1632	125	17	𝑐ℎ𝑖𝑙𝑑(𝑖	𝑐ℎ𝑖𝑙𝑑(𝑖	PROPN
cana-1632	125	18	)	)	PUNCT
cana-1632	125	19	,	,	PUNCT
cana-1632	125	20	𝑖𝑓⁡𝑟	𝑖𝑓⁡𝑟	PROPN
cana-1632	125	21	≥	≥	NOUN
cana-1632	125	22	𝑝𝑚	𝑝𝑚	ADP
cana-1632	126	1	1	1	NUM
cana-1632	126	2	−	−	NOUN
cana-1632	126	3	𝑐ℎ𝑖𝑙𝑑(𝑖	𝑐ℎ𝑖𝑙𝑑(𝑖	PROPN
cana-1632	126	4	)	)	PUNCT
cana-1632	126	5	,	,	PUNCT
cana-1632	127	1	𝑖𝑓⁡𝑟	𝑖𝑓⁡𝑟	PROPN
cana-1632	127	2	<	<	X
cana-1632	127	3	𝑝𝑚	𝑝𝑚	INTJ
cana-1632	127	4	where	where	SCONJ
cana-1632	127	5	r	r	NOUN
cana-1632	127	6	is	be	AUX
cana-1632	127	7	a	a	DET
cana-1632	127	8	random	random	ADJ
cana-1632	127	9	number	number	NOUN
cana-1632	127	10	and	and	CCONJ
cana-1632	127	11	𝑝𝑚	𝑝𝑚	NOUN
cana-1632	127	12	is	be	AUX
cana-1632	127	13	the	the	DET
cana-1632	127	14	mutation	mutation	NOUN
cana-1632	127	15	probability	probability	NOUN
cana-1632	127	16	.	.	PUNCT
cana-1632	128	1	step	step	NOUN
cana-1632	128	2	6	6	NUM
cana-1632	128	3	:	:	PUNCT
cana-1632	128	4	replacement	replacement	NOUN
cana-1632	128	5	•	•	NOUN
cana-1632	128	6	form	form	VERB
cana-1632	128	7	new	new	ADJ
cana-1632	128	8	population	population	NOUN
cana-1632	128	9	(	(	PUNCT
cana-1632	128	10	𝑃𝑡+1	𝑃𝑡+1	ADV
cana-1632	128	11	):	):	PUNCT
cana-1632	128	12	replace	replace	VERB
cana-1632	128	13	the	the	DET
cana-1632	128	14	old	old	ADJ
cana-1632	128	15	population	population	NOUN
cana-1632	128	16	with	with	ADP
cana-1632	128	17	the	the	DET
cana-1632	128	18	new	new	ADJ
cana-1632	128	19	generation	generation	NOUN
cana-1632	128	20	of	of	ADP
cana-1632	128	21	solutions	solution	NOUN
cana-1632	128	22	.	.	PUNCT
cana-1632	129	1	⁡𝑃𝑡+1	⁡𝑃𝑡+1	NOUN
cana-1632	129	2	=	=	SYM
cana-1632	129	3	{	{	PUNCT
cana-1632	129	4	𝑀𝑢𝑡𝑎𝑛𝑡1	𝑀𝑢𝑡𝑎𝑛𝑡1	PROPN
cana-1632	129	5	,	,	PUNCT
cana-1632	129	6	𝑀𝑢𝑡𝑎𝑛𝑡2	𝑀𝑢𝑡𝑎𝑛𝑡2	PROPN
cana-1632	129	7	,	,	PUNCT
cana-1632	129	8	…	…	PUNCT
cana-1632	129	9	,	,	PUNCT
cana-1632	129	10	𝑀𝑢𝑡𝑎𝑛𝑡𝑁	𝑀𝑢𝑡𝑎𝑛𝑡𝑁	NOUN
cana-1632	129	11	}	}	PUNCT
cana-1632	129	12	optionally	optionally	NOUN
cana-1632	129	13	,	,	PUNCT
cana-1632	129	14	elitism	elitism	NOUN
cana-1632	129	15	can	can	AUX
cana-1632	129	16	be	be	AUX
cana-1632	129	17	used	use	VERB
cana-1632	129	18	to	to	PART
cana-1632	129	19	retain	retain	VERB
cana-1632	129	20	the	the	DET
cana-1632	129	21	best	good	ADJ
cana-1632	129	22	solutions	solution	NOUN
cana-1632	129	23	:	:	PUNCT
cana-1632	129	24	𝑃𝑡+1	𝑃𝑡+1	VERB
cana-1632	129	25	=	=	SYM
cana-1632	129	26	{	{	PUNCT
cana-1632	129	27	𝐸𝑙𝑖𝑡𝑒1	𝐸𝑙𝑖𝑡𝑒1	PROPN
cana-1632	129	28	,	,	PUNCT
cana-1632	129	29	…	…	PUNCT
cana-1632	129	30	,	,	PUNCT
cana-1632	129	31	𝐸𝑙𝑖𝑡𝑒𝐸	𝐸𝑙𝑖𝑡𝑒𝐸	PROPN
cana-1632	129	32	,	,	PUNCT
cana-1632	129	33	𝑀𝑢𝑡𝑎𝑛𝑡𝐸+1	𝑀𝑢𝑡𝑎𝑛𝑡𝐸+1	PROPN
cana-1632	129	34	,	,	PUNCT
cana-1632	129	35	…	…	PUNCT
cana-1632	129	36	,	,	PUNCT
cana-1632	129	37	𝑀𝑢𝑡𝑎𝑛𝑡𝑁	𝑀𝑢𝑡𝑎𝑛𝑡𝑁	NOUN
cana-1632	129	38	}	}	PUNCT
cana-1632	129	39	where	where	SCONJ
cana-1632	129	40	e	e	NOUN
cana-1632	129	41	is	be	AUX
cana-1632	129	42	the	the	DET
cana-1632	129	43	number	number	NOUN
cana-1632	129	44	of	of	ADP
cana-1632	129	45	elite	elite	ADJ
cana-1632	129	46	solutions	solution	NOUN
cana-1632	129	47	retained	retain	VERB
cana-1632	129	48	.	.	PUNCT
cana-1632	130	1	step	step	NOUN
cana-1632	130	2	7	7	NUM
cana-1632	130	3	:	:	PUNCT
cana-1632	130	4	termination	termination	NOUN
cana-1632	130	5	•	•	NOUN
cana-1632	130	6	termination	termination	NOUN
cana-1632	130	7	criteria	criterion	NOUN
cana-1632	130	8	(	(	PUNCT
cana-1632	130	9	t	t	NOUN
cana-1632	130	10	):	):	PUNCT
cana-1632	130	11	determine	determine	NOUN
cana-1632	130	12	when	when	SCONJ
cana-1632	130	13	to	to	PART
cana-1632	130	14	stop	stop	VERB
cana-1632	130	15	the	the	DET
cana-1632	130	16	algorithm	algorithm	NOUN
cana-1632	130	17	based	base	VERB
cana-1632	130	18	on	on	ADP
cana-1632	130	19	a	a	DET
cana-1632	130	20	predefined	predefine	VERB
cana-1632	130	21	criterion	criterion	NOUN
cana-1632	130	22	.	.	PUNCT
cana-1632	131	1	𝐼𝑓	𝐼𝑓	VERB
cana-1632	131	2	𝐶𝑜𝑛𝑣𝑒𝑟𝑔𝑒𝑛𝑐𝑒	𝐶𝑜𝑛𝑣𝑒𝑟𝑔𝑒𝑛𝑐𝑒	PROPN
cana-1632	131	3	𝑜𝑟	𝑜𝑟	ADP
cana-1632	131	4	𝑀𝑎𝑥𝐺𝑒𝑛𝑒𝑟𝑎𝑡𝑖𝑜𝑛𝑠	𝑀𝑎𝑥𝐺𝑒𝑛𝑒𝑟𝑎𝑡𝑖𝑜𝑛𝑠	PROPN
cana-1632	131	5	𝑡ℎ𝑒𝑛	𝑡ℎ𝑒𝑛	NOUN
cana-1632	131	6	𝑆𝑡𝑜𝑝	𝑆𝑡𝑜𝑝	PROPN
cana-1632	131	7	convergence	convergence	NOUN
cana-1632	131	8	can	can	AUX
cana-1632	131	9	be	be	AUX
cana-1632	131	10	defined	define	VERB
cana-1632	131	11	as	as	ADP
cana-1632	131	12	the	the	DET
cana-1632	131	13	change	change	NOUN
cana-1632	131	14	in	in	ADP
cana-1632	131	15	the	the	DET
cana-1632	131	16	best	good	ADJ
cana-1632	131	17	solution	solution	NOUN
cana-1632	131	18	falling	fall	VERB
cana-1632	131	19	below	below	ADP
cana-1632	131	20	a	a	DET
cana-1632	131	21	threshold	threshold	NOUN
cana-1632	131	22	.	.	PUNCT
cana-1632	132	1	communications	communication	NOUN
cana-1632	132	2	on	on	ADP
cana-1632	132	3	applied	apply	VERB
cana-1632	132	4	nonlinear	nonlinear	ADJ
cana-1632	132	5	analysis	analysis	NOUN
cana-1632	132	6	issn	issn	NOUN
cana-1632	132	7	:	:	PUNCT
cana-1632	132	8	1074	1074	NUM
cana-1632	132	9	-	-	PUNCT
cana-1632	132	10	133x	133x	NUM
cana-1632	132	11	vol	vol	NOUN
cana-1632	132	12	32	32	NUM
cana-1632	132	13	no	no	NOUN
cana-1632	132	14	.	.	NOUN
cana-1632	132	15	1	1	NUM
cana-1632	132	16	(	(	PUNCT
cana-1632	132	17	2025	2025	NUM
cana-1632	132	18	)	)	PUNCT
cana-1632	132	19	220	220	NUM
cana-1632	132	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1632	132	21	b.	b.	PROPN
cana-1632	132	22	model	model	PROPN
cana-1632	132	23	formulation	formulation	PROPN
cana-1632	132	24	•	•	NOUN
cana-1632	132	25	objective	objective	ADJ
cana-1632	132	26	function	function	NOUN
cana-1632	132	27	:	:	PUNCT
cana-1632	132	28	the	the	DET
cana-1632	132	29	goal	goal	NOUN
cana-1632	132	30	of	of	ADP
cana-1632	132	31	the	the	DET
cana-1632	132	32	optimization	optimization	NOUN
cana-1632	132	33	problem	problem	NOUN
cana-1632	132	34	is	be	AUX
cana-1632	132	35	set	set	VERB
cana-1632	132	36	by	by	ADP
cana-1632	132	37	the	the	DET
cana-1632	132	38	target	target	NOUN
cana-1632	132	39	function	function	NOUN
cana-1632	132	40	.	.	PUNCT
cana-1632	133	1	among	among	ADP
cana-1632	133	2	the	the	DET
cana-1632	133	3	goals	goal	NOUN
cana-1632	133	4	of	of	ADP
cana-1632	133	5	electricity	electricity	NOUN
cana-1632	133	6	network	network	NOUN
cana-1632	133	7	design	design	NOUN
cana-1632	133	8	are	be	AUX
cana-1632	133	9	reducing	reduce	VERB
cana-1632	133	10	power	power	NOUN
cana-1632	133	11	outages	outage	NOUN
cana-1632	133	12	as	as	ADV
cana-1632	133	13	much	much	ADV
cana-1632	133	14	as	as	ADP
cana-1632	133	15	possible	possible	ADJ
cana-1632	133	16	,	,	PUNCT
cana-1632	133	17	keeping	keep	VERB
cana-1632	133	18	costs	cost	NOUN
cana-1632	133	19	low	low	ADJ
cana-1632	133	20	,	,	PUNCT
cana-1632	133	21	and	and	CCONJ
cana-1632	133	22	making	make	VERB
cana-1632	133	23	the	the	DET
cana-1632	133	24	network	network	NOUN
cana-1632	133	25	as	as	ADV
cana-1632	133	26	reliable	reliable	ADJ
cana-1632	133	27	as	as	ADP
cana-1632	133	28	possible	possible	ADJ
cana-1632	133	29	.	.	PUNCT
cana-1632	134	1	for	for	ADP
cana-1632	134	2	instance	instance	NOUN
cana-1632	134	3	,	,	PUNCT
cana-1632	134	4	to	to	PART
cana-1632	134	5	cut	cut	VERB
cana-1632	134	6	down	down	ADP
cana-1632	134	7	on	on	ADP
cana-1632	134	8	power	power	NOUN
cana-1632	134	9	losses	loss	NOUN
cana-1632	134	10	:	:	PUNCT
cana-1632	134	11	𝑚𝑖𝑛	𝑚𝑖𝑛	NOUN
cana-1632	134	12	𝑥	𝑥	PROPN
cana-1632	134	13	∑𝑃𝑙𝑜𝑠𝑠,𝑖(𝑥	∑𝑃𝑙𝑜𝑠𝑠,𝑖(𝑥	PROPN
cana-1632	134	14	)	)	PUNCT
cana-1632	135	1	𝑁	𝑁	PROPN
cana-1632	135	2	𝑖=1	𝑖=1	PROPN
cana-1632	135	3	where	where	SCONJ
cana-1632	135	4	𝑃𝑙𝑜𝑠𝑠,𝑖(𝑥	𝑃𝑙𝑜𝑠𝑠,𝑖(𝑥	PROPN
cana-1632	135	5	)	)	PUNCT
cana-1632	135	6	represents	represent	VERB
cana-1632	135	7	the	the	DET
cana-1632	135	8	power	power	NOUN
cana-1632	135	9	loss	loss	NOUN
cana-1632	135	10	in	in	ADP
cana-1632	135	11	the	the	DET
cana-1632	135	12	i	i	PROPN
cana-1632	135	13	-	-	PUNCT
cana-1632	135	14	th	th	VERB
cana-1632	135	15	component	component	NOUN
cana-1632	135	16	of	of	ADP
cana-1632	135	17	the	the	DET
cana-1632	135	18	network	network	NOUN
cana-1632	135	19	,	,	PUNCT
cana-1632	135	20	and	and	CCONJ
cana-1632	135	21	x	x	PRON
cana-1632	135	22	denotes	denote	VERB
cana-1632	135	23	the	the	DET
cana-1632	135	24	vector	vector	NOUN
cana-1632	135	25	of	of	ADP
cana-1632	135	26	decision	decision	NOUN
cana-1632	135	27	variables	variable	NOUN
cana-1632	135	28	,	,	PUNCT
cana-1632	135	29	such	such	ADJ
cana-1632	135	30	as	as	ADP
cana-1632	135	31	generator	generator	NOUN
cana-1632	135	32	outputs	output	NOUN
cana-1632	135	33	and	and	CCONJ
cana-1632	135	34	power	power	NOUN
cana-1632	135	35	flows	flow	NOUN
cana-1632	135	36	.	.	PUNCT
cana-1632	136	1	constraints	constraint	NOUN
cana-1632	136	2	:	:	PUNCT
cana-1632	136	3	the	the	DET
cana-1632	136	4	optimization	optimization	NOUN
cana-1632	136	5	problem	problem	NOUN
cana-1632	136	6	is	be	AUX
cana-1632	136	7	subject	subject	ADJ
cana-1632	136	8	to	to	ADP
cana-1632	136	9	various	various	ADJ
cana-1632	136	10	constraints	constraint	NOUN
cana-1632	136	11	to	to	PART
cana-1632	136	12	ensure	ensure	VERB
cana-1632	136	13	feasible	feasible	ADJ
cana-1632	136	14	and	and	CCONJ
cana-1632	136	15	reliable	reliable	ADJ
cana-1632	136	16	network	network	NOUN
cana-1632	136	17	operation	operation	NOUN
cana-1632	136	18	.	.	PUNCT
cana-1632	137	1	1	1	X
cana-1632	137	2	.	.	X
cana-1632	137	3	power	power	NOUN
cana-1632	137	4	balance	balance	NOUN
cana-1632	137	5	constraint	constraint	NOUN
cana-1632	137	6	:	:	PUNCT
cana-1632	137	7	the	the	DET
cana-1632	137	8	total	total	ADJ
cana-1632	137	9	power	power	NOUN
cana-1632	137	10	generated	generate	VERB
cana-1632	137	11	must	must	AUX
cana-1632	137	12	equal	equal	VERB
cana-1632	137	13	the	the	DET
cana-1632	137	14	total	total	ADJ
cana-1632	137	15	power	power	NOUN
cana-1632	137	16	consumed	consume	VERB
cana-1632	137	17	plus	plus	CCONJ
cana-1632	137	18	losses	loss	NOUN
cana-1632	137	19	:	:	PUNCT
cana-1632	137	20	∑𝑃𝐺,𝑖	∑𝑃𝐺,𝑖	X
cana-1632	138	1	=	=	PRON
cana-1632	138	2	∑𝑃𝐿,𝑗	∑𝑃𝐿,𝑗	PROPN
cana-1632	139	1	+	+	NOUN
cana-1632	139	2	∑𝑃𝑙𝑜𝑠𝑠,𝑘	∑𝑃𝑙𝑜𝑠𝑠,𝑘	NOUN
cana-1632	139	3	𝑁	𝑁	PROPN
cana-1632	139	4	𝑘=1	𝑘=1	PUNCT
cana-1632	139	5	𝑁𝐿	𝑁𝐿	PROPN
cana-1632	140	1	𝑗=1	𝑗=1	PROPN
cana-1632	140	2	𝑁𝐺	𝑁𝐺	PROPN
cana-1632	140	3	𝑖=1	𝑖=1	PROPN
cana-1632	140	4	where	where	SCONJ
cana-1632	140	5	𝑃𝐺,𝑖	𝑃𝐺,𝑖	PROPN
cana-1632	140	6	is	be	AUX
cana-1632	140	7	the	the	DET
cana-1632	140	8	power	power	NOUN
cana-1632	140	9	generated	generate	VERB
cana-1632	140	10	by	by	ADP
cana-1632	140	11	the	the	DET
cana-1632	140	12	i	i	PROPN
cana-1632	140	13	-	-	PUNCT
cana-1632	140	14	th	th	X
cana-1632	140	15	generator	generator	NOUN
cana-1632	140	16	,	,	PUNCT
cana-1632	140	17	𝑃𝐿,𝑗	𝑃𝐿,𝑗	PROPN
cana-1632	140	18	is	be	AUX
cana-1632	140	19	the	the	DET
cana-1632	140	20	power	power	NOUN
cana-1632	140	21	consumed	consume	VERB
cana-1632	140	22	by	by	ADP
cana-1632	140	23	the	the	DET
cana-1632	140	24	j	j	PROPN
cana-1632	140	25	-	-	PUNCT
cana-1632	140	26	th	th	VERB
cana-1632	140	27	load	load	NOUN
cana-1632	140	28	,	,	PUNCT
cana-1632	140	29	and	and	CCONJ
cana-1632	140	30	𝑁𝐺	𝑁𝐺	PROPN
cana-1632	140	31	and	and	CCONJ
cana-1632	140	32	𝑁𝐿	𝑁𝐿	PROPN
cana-1632	140	33	are	be	AUX
cana-1632	140	34	the	the	DET
cana-1632	140	35	number	number	NOUN
cana-1632	140	36	of	of	ADP
cana-1632	140	37	generators	generator	NOUN
cana-1632	140	38	and	and	CCONJ
cana-1632	140	39	loads	load	NOUN
cana-1632	140	40	,	,	PUNCT
cana-1632	140	41	respectively	respectively	ADV
cana-1632	140	42	.	.	PUNCT
cana-1632	141	1	2	2	X
cana-1632	141	2	.	.	X
cana-1632	141	3	voltage	voltage	NOUN
cana-1632	141	4	constraints	constraint	NOUN
cana-1632	141	5	:	:	PUNCT
cana-1632	141	6	voltages	voltage	NOUN
cana-1632	141	7	at	at	ADP
cana-1632	141	8	all	all	DET
cana-1632	141	9	buses	bus	NOUN
cana-1632	141	10	must	must	AUX
cana-1632	141	11	remain	remain	VERB
cana-1632	141	12	within	within	ADP
cana-1632	141	13	specified	specify	VERB
cana-1632	141	14	limits	limit	NOUN
cana-1632	141	15	to	to	PART
cana-1632	141	16	ensure	ensure	VERB
cana-1632	141	17	stability	stability	NOUN
cana-1632	141	18	:	:	PUNCT
cana-1632	141	19	𝑉𝑚𝑖𝑛,𝑖	𝑉𝑚𝑖𝑛,𝑖	ADJ
cana-1632	141	20	≤	≤	NOUN
cana-1632	141	21	𝑉𝑖	𝑉𝑖	PROPN
cana-1632	141	22	≤	≤	NOUN
cana-1632	141	23	𝑉𝑚𝑎𝑥,𝑖	𝑉𝑚𝑎𝑥,𝑖	CCONJ
cana-1632	141	24	∀𝑖	∀𝑖	PROPN
cana-1632	141	25	∈	∈	PROPN
cana-1632	141	26	{	{	PUNCT
cana-1632	141	27	1	1	NUM
cana-1632	141	28	,	,	PUNCT
cana-1632	141	29	…	…	PUNCT
cana-1632	141	30	,	,	PUNCT
cana-1632	141	31	𝑁𝐵	𝑁𝐵	PROPN
cana-1632	141	32	}	}	PUNCT
cana-1632	141	33	where	where	SCONJ
cana-1632	141	34	𝑉𝑖	𝑉𝑖	PROPN
cana-1632	141	35	is	be	AUX
cana-1632	141	36	the	the	DET
cana-1632	141	37	voltage	voltage	NOUN
cana-1632	141	38	at	at	ADP
cana-1632	141	39	the	the	DET
cana-1632	141	40	iii	iii	NOUN
cana-1632	141	41	-	-	PUNCT
cana-1632	141	42	th	th	NUM
cana-1632	141	43	bus	bus	NOUN
cana-1632	141	44	,	,	PUNCT
cana-1632	141	45	and	and	CCONJ
cana-1632	141	46	𝑉𝑚𝑖𝑛,𝑖	𝑉𝑚𝑖𝑛,𝑖	ADV
cana-1632	141	47	and	and	CCONJ
cana-1632	141	48	𝑉𝑚𝑎𝑥,𝑖	𝑉𝑚𝑎𝑥,𝑖	PROPN
cana-1632	141	49	are	be	AUX
cana-1632	141	50	the	the	DET
cana-1632	141	51	minimum	minimum	ADJ
cana-1632	141	52	and	and	CCONJ
cana-1632	141	53	maximum	maximum	ADJ
cana-1632	141	54	voltage	voltage	NOUN
cana-1632	141	55	limits	limit	NOUN
cana-1632	141	56	for	for	ADP
cana-1632	141	57	the	the	DET
cana-1632	141	58	i	i	PROPN
cana-1632	141	59	-	-	PUNCT
cana-1632	141	60	th	th	X
cana-1632	141	61	bus	bus	NOUN
cana-1632	141	62	.	.	PUNCT
cana-1632	142	1	3	3	X
cana-1632	142	2	.	.	X
cana-1632	142	3	thermal	thermal	ADJ
cana-1632	142	4	limits	limit	NOUN
cana-1632	142	5	of	of	ADP
cana-1632	142	6	transmission	transmission	NOUN
cana-1632	142	7	lines	line	NOUN
cana-1632	142	8	:	:	PUNCT
cana-1632	142	9	power	power	NOUN
cana-1632	142	10	flows	flow	VERB
cana-1632	142	11	through	through	ADP
cana-1632	142	12	transmission	transmission	NOUN
cana-1632	142	13	lines	line	NOUN
cana-1632	142	14	must	must	AUX
cana-1632	142	15	not	not	PART
cana-1632	142	16	exceed	exceed	VERB
cana-1632	142	17	their	their	PRON
cana-1632	142	18	thermal	thermal	ADJ
cana-1632	142	19	limits	limit	NOUN
cana-1632	142	20	:	:	PUNCT
cana-1632	142	21	|𝑃𝑖𝑗|	|𝑃𝑖𝑗|	NOUN
cana-1632	142	22	≤	≤	ADJ
cana-1632	142	23	𝑃𝑚𝑎𝑥,𝑖𝑗,⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡∀(𝑖	𝑃𝑚𝑎𝑥,𝑖𝑗,⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡∀(𝑖	PROPN
cana-1632	142	24	,	,	PUNCT
cana-1632	142	25	𝑗	𝑗	NOUN
cana-1632	142	26	)	)	PUNCT
cana-1632	142	27	∈	∈	PROPN
cana-1632	142	28	ℒ	ℒ	NOUN
cana-1632	142	29	where	where	SCONJ
cana-1632	142	30	𝑃𝑖𝑗	𝑃𝑖𝑗	PROPN
cana-1632	142	31	is	be	AUX
cana-1632	142	32	the	the	DET
cana-1632	142	33	power	power	NOUN
cana-1632	142	34	flow	flow	NOUN
cana-1632	142	35	through	through	ADP
cana-1632	142	36	the	the	DET
cana-1632	142	37	line	line	NOUN
cana-1632	142	38	connecting	connect	VERB
cana-1632	142	39	bus	bus	NOUN
cana-1632	142	40	i	i	NOUN
cana-1632	142	41	and	and	CCONJ
cana-1632	142	42	bus	bus	PROPN
cana-1632	142	43	j	j	PROPN
cana-1632	142	44	,	,	PUNCT
cana-1632	142	45	𝑃𝑚𝑎𝑥,𝑖𝑗⁡	𝑃𝑚𝑎𝑥,𝑖𝑗⁡	VERB
cana-1632	142	46	is	be	AUX
cana-1632	142	47	the	the	DET
cana-1632	142	48	maximum	maximum	ADJ
cana-1632	142	49	allowable	allowable	ADJ
cana-1632	142	50	power	power	NOUN
cana-1632	142	51	flow	flow	NOUN
cana-1632	142	52	for	for	ADP
cana-1632	142	53	that	that	DET
cana-1632	142	54	line	line	NOUN
cana-1632	142	55	,	,	PUNCT
cana-1632	142	56	and	and	CCONJ
cana-1632	142	57	ℒ	ℒ	NOUN
cana-1632	142	58	is	be	AUX
cana-1632	142	59	the	the	DET
cana-1632	142	60	set	set	NOUN
cana-1632	142	61	of	of	ADP
cana-1632	142	62	all	all	DET
cana-1632	142	63	transmission	transmission	NOUN
cana-1632	142	64	lines	line	NOUN
cana-1632	142	65	.	.	PUNCT
cana-1632	143	1	4	4	X
cana-1632	143	2	.	.	X
cana-1632	143	3	generator	generator	NOUN
cana-1632	143	4	output	output	NOUN
cana-1632	143	5	limits	limit	NOUN
cana-1632	143	6	:	:	PUNCT
cana-1632	143	7	generator	generator	NOUN
cana-1632	143	8	outputs	output	NOUN
cana-1632	143	9	must	must	AUX
cana-1632	143	10	stay	stay	VERB
cana-1632	143	11	within	within	ADP
cana-1632	143	12	their	their	PRON
cana-1632	143	13	capacity	capacity	NOUN
cana-1632	143	14	limits	limit	NOUN
cana-1632	143	15	:	:	PUNCT
cana-1632	143	16	communications	communication	NOUN
cana-1632	143	17	on	on	ADP
cana-1632	143	18	applied	apply	VERB
cana-1632	143	19	nonlinear	nonlinear	ADJ
cana-1632	143	20	analysis	analysis	NOUN
cana-1632	143	21	issn	issn	NOUN
cana-1632	143	22	:	:	PUNCT
cana-1632	143	23	1074	1074	NUM
cana-1632	143	24	-	-	PUNCT
cana-1632	143	25	133x	133x	NUM
cana-1632	143	26	vol	vol	NOUN
cana-1632	143	27	32	32	NUM
cana-1632	143	28	no	no	NOUN
cana-1632	143	29	.	.	NOUN
cana-1632	143	30	1	1	NUM
cana-1632	143	31	(	(	PUNCT
cana-1632	143	32	2025	2025	NUM
cana-1632	143	33	)	)	PUNCT
cana-1632	143	34	221	221	NUM
cana-1632	143	35	https://internationalpubls.com	https://internationalpubls.com	X
cana-1632	143	36	𝑃𝑚𝑖𝑛,𝑖	𝑃𝑚𝑖𝑛,𝑖	PROPN
cana-1632	143	37	≤	≤	NUM
cana-1632	143	38	𝑃𝐺,𝑖	𝑃𝐺,𝑖	PROPN
cana-1632	143	39	≤	≤	PROPN
cana-1632	143	40	𝑃𝑚𝑎𝑥,𝑖,⁡⁡⁡⁡⁡⁡⁡⁡∀𝑖	𝑃𝑚𝑎𝑥,𝑖,⁡⁡⁡⁡⁡⁡⁡⁡∀𝑖	NOUN
cana-1632	143	41	∈	∈	PROPN
cana-1632	143	42	{	{	PUNCT
cana-1632	143	43	1	1	NUM
cana-1632	143	44	,	,	PUNCT
cana-1632	143	45	…	…	PUNCT
cana-1632	143	46	.	.	PUNCT
cana-1632	143	47	,	,	PUNCT
cana-1632	143	48	𝑁𝐺	𝑁𝐺	PROPN
cana-1632	143	49	}	}	PUNCT
cana-1632	143	50	where	where	SCONJ
cana-1632	143	51	𝑃𝑚𝑖𝑛,𝑖	𝑃𝑚𝑖𝑛,𝑖	PROPN
cana-1632	143	52	and	and	CCONJ
cana-1632	143	53	𝑃𝑚𝑎𝑥,𝑖	𝑃𝑚𝑎𝑥,𝑖	PROPN
cana-1632	143	54	are	be	AUX
cana-1632	143	55	the	the	DET
cana-1632	143	56	minimum	minimum	ADJ
cana-1632	143	57	and	and	CCONJ
cana-1632	143	58	maximum	maximum	ADJ
cana-1632	143	59	output	output	NOUN
cana-1632	143	60	limits	limit	NOUN
cana-1632	143	61	for	for	ADP
cana-1632	143	62	the	the	DET
cana-1632	143	63	i	i	PROPN
cana-1632	143	64	-	-	PUNCT
cana-1632	143	65	th	th	X
cana-1632	143	66	generator	generator	NOUN
cana-1632	143	67	.	.	PUNCT
cana-1632	144	1	4	4	X
cana-1632	144	2	.	.	X
cana-1632	144	3	result	result	NOUN
cana-1632	144	4	and	and	CCONJ
cana-1632	144	5	discussion	discussion	VERB
cana-1632	144	6	the	the	DET
cana-1632	144	7	table	table	NOUN
cana-1632	144	8	(	(	PUNCT
cana-1632	144	9	2	2	X
cana-1632	144	10	)	)	PUNCT
cana-1632	144	11	shows	show	VERB
cana-1632	144	12	how	how	SCONJ
cana-1632	144	13	well	well	ADV
cana-1632	144	14	different	different	ADJ
cana-1632	144	15	optimization	optimization	NOUN
cana-1632	144	16	algorithms	algorithm	NOUN
cana-1632	144	17	work	work	VERB
cana-1632	144	18	in	in	ADP
cana-1632	144	19	designing	design	VERB
cana-1632	144	20	electricity	electricity	NOUN
cana-1632	144	21	networks	network	NOUN
cana-1632	144	22	by	by	ADP
cana-1632	144	23	looking	look	VERB
cana-1632	144	24	at	at	ADP
cana-1632	144	25	their	their	PRON
cana-1632	144	26	convergence	convergence	NOUN
cana-1632	144	27	rate	rate	NOUN
cana-1632	144	28	,	,	PUNCT
cana-1632	144	29	how	how	SCONJ
cana-1632	144	30	much	much	ADJ
cana-1632	144	31	time	time	NOUN
cana-1632	144	32	they	they	PRON
cana-1632	144	33	save	save	VERB
cana-1632	144	34	on	on	ADP
cana-1632	144	35	computation	computation	NOUN
cana-1632	144	36	,	,	PUNCT
cana-1632	144	37	and	and	CCONJ
cana-1632	144	38	the	the	DET
cana-1632	144	39	quality	quality	NOUN
cana-1632	144	40	of	of	ADP
cana-1632	144	41	their	their	PRON
cana-1632	144	42	solutions	solution	NOUN
cana-1632	144	43	.	.	PUNCT
cana-1632	145	1	with	with	ADP
cana-1632	145	2	an	an	DET
cana-1632	145	3	85	85	NUM
cana-1632	145	4	%	%	NOUN
cana-1632	145	5	convergence	convergence	NOUN
cana-1632	145	6	rate	rate	NOUN
cana-1632	145	7	,	,	PUNCT
cana-1632	145	8	a	a	DET
cana-1632	145	9	70	70	NUM
cana-1632	145	10	%	%	NOUN
cana-1632	145	11	decrease	decrease	NOUN
cana-1632	145	12	in	in	ADP
cana-1632	145	13	processing	processing	NOUN
cana-1632	145	14	time	time	NOUN
cana-1632	145	15	,	,	PUNCT
cana-1632	145	16	and	and	CCONJ
cana-1632	145	17	a	a	DET
cana-1632	145	18	95	95	NUM
cana-1632	145	19	%	%	NOUN
cana-1632	145	20	answer	answer	NOUN
cana-1632	145	21	quality	quality	NOUN
cana-1632	145	22	,	,	PUNCT
cana-1632	145	23	the	the	DET
cana-1632	145	24	genetic	genetic	ADJ
cana-1632	145	25	algorithm	algorithm	NOUN
cana-1632	145	26	(	(	PUNCT
cana-1632	145	27	ga	ga	NOUN
cana-1632	145	28	)	)	PUNCT
cana-1632	145	29	works	work	VERB
cana-1632	145	30	very	very	ADV
cana-1632	145	31	well	well	ADV
cana-1632	145	32	.	.	PUNCT
cana-1632	146	1	the	the	DET
cana-1632	146	2	next	next	ADJ
cana-1632	146	3	best	good	ADJ
cana-1632	146	4	method	method	NOUN
cana-1632	146	5	is	be	AUX
cana-1632	146	6	particle	particle	NOUN
cana-1632	146	7	swarm	swarm	NOUN
cana-1632	146	8	optimization	optimization	NOUN
cana-1632	146	9	(	(	PUNCT
cana-1632	146	10	pso	pso	NOUN
cana-1632	146	11	)	)	PUNCT
cana-1632	146	12	,	,	PUNCT
cana-1632	146	13	which	which	PRON
cana-1632	146	14	has	have	VERB
cana-1632	146	15	an	an	DET
cana-1632	146	16	80	80	NUM
cana-1632	146	17	%	%	NOUN
cana-1632	146	18	convergence	convergence	NOUN
cana-1632	146	19	rate	rate	NOUN
cana-1632	146	20	,	,	PUNCT
cana-1632	146	21	a	a	DET
cana-1632	146	22	65	65	NUM
cana-1632	146	23	%	%	NOUN
cana-1632	146	24	time	time	NOUN
cana-1632	146	25	savings	saving	NOUN
cana-1632	146	26	,	,	PUNCT
cana-1632	146	27	and	and	CCONJ
cana-1632	146	28	a	a	DET
cana-1632	146	29	92	92	NUM
cana-1632	146	30	%	%	NOUN
cana-1632	146	31	answer	answer	NOUN
cana-1632	146	32	quality	quality	NOUN
cana-1632	146	33	.	.	PUNCT
cana-1632	147	1	ant	ant	ADJ
cana-1632	147	2	colony	colony	NOUN
cana-1632	147	3	optimization	optimization	NOUN
cana-1632	147	4	(	(	PUNCT
cana-1632	147	5	aco	aco	PROPN
cana-1632	147	6	)	)	PUNCT
cana-1632	147	7	produces	produce	VERB
cana-1632	147	8	solutions	solution	NOUN
cana-1632	147	9	that	that	PRON
cana-1632	147	10	are	be	AUX
cana-1632	147	11	75	75	NUM
cana-1632	147	12	%	%	NOUN
cana-1632	147	13	more	more	ADV
cana-1632	147	14	likely	likely	ADJ
cana-1632	147	15	to	to	PART
cana-1632	147	16	be	be	AUX
cana-1632	147	17	correct	correct	ADJ
cana-1632	147	18	,	,	PUNCT
cana-1632	147	19	take	take	VERB
cana-1632	147	20	60	60	NUM
cana-1632	147	21	%	%	NOUN
cana-1632	147	22	less	less	ADJ
cana-1632	147	23	time	time	NOUN
cana-1632	147	24	,	,	PUNCT
cana-1632	147	25	and	and	CCONJ
cana-1632	147	26	have	have	VERB
cana-1632	147	27	a	a	DET
cana-1632	147	28	quality	quality	NOUN
cana-1632	147	29	level	level	NOUN
cana-1632	147	30	of	of	ADP
cana-1632	147	31	90	90	NUM
cana-1632	147	32	%	%	NOUN
cana-1632	147	33	.	.	PUNCT
cana-1632	148	1	mixed	mix	VERB
cana-1632	148	2	-	-	PUNCT
cana-1632	148	3	integer	integer	NOUN
cana-1632	148	4	linear	linear	NOUN
cana-1632	148	5	programming	programming	NOUN
cana-1632	148	6	(	(	PUNCT
cana-1632	148	7	milp	milp	NOUN
cana-1632	148	8	)	)	PUNCT
cana-1632	148	9	is	be	AUX
cana-1632	148	10	the	the	DET
cana-1632	148	11	best	good	ADJ
cana-1632	148	12	at	at	ADP
cana-1632	148	13	reducing	reduce	VERB
cana-1632	148	14	processing	processing	NOUN
cana-1632	148	15	time	time	NOUN
cana-1632	148	16	by	by	ADP
cana-1632	148	17	50	50	NUM
cana-1632	148	18	%	%	NOUN
cana-1632	148	19	,	,	PUNCT
cana-1632	148	20	but	but	CCONJ
cana-1632	148	21	it	it	PRON
cana-1632	148	22	falls	fall	VERB
cana-1632	148	23	short	short	ADJ
cana-1632	148	24	in	in	ADP
cana-1632	148	25	terms	term	NOUN
cana-1632	148	26	of	of	ADP
cana-1632	148	27	convergence	convergence	NOUN
cana-1632	148	28	rate	rate	NOUN
cana-1632	148	29	and	and	CCONJ
cana-1632	148	30	solution	solution	NOUN
cana-1632	148	31	quality	quality	NOUN
cana-1632	148	32	,	,	PUNCT
cana-1632	148	33	which	which	PRON
cana-1632	148	34	are	be	AUX
cana-1632	148	35	90	90	NUM
cana-1632	148	36	%	%	NOUN
cana-1632	148	37	and	and	CCONJ
cana-1632	148	38	98	98	NUM
cana-1632	148	39	%	%	NOUN
cana-1632	148	40	,	,	PUNCT
cana-1632	148	41	respectively	respectively	ADV
cana-1632	148	42	.	.	PUNCT
cana-1632	149	1	overall	overall	ADJ
cana-1632	149	2	,	,	PUNCT
cana-1632	149	3	nonlinear	nonlinear	ADJ
cana-1632	149	4	programming	programming	NOUN
cana-1632	149	5	(	(	PUNCT
cana-1632	149	6	nlp	nlp	NOUN
cana-1632	149	7	)	)	PUNCT
cana-1632	149	8	does	do	AUX
cana-1632	149	9	not	not	PART
cana-1632	149	10	work	work	VERB
cana-1632	149	11	as	as	ADV
cana-1632	149	12	well	well	ADV
cana-1632	149	13	;	;	PUNCT
cana-1632	149	14	it	it	PRON
cana-1632	149	15	has	have	VERB
cana-1632	149	16	a	a	DET
cana-1632	149	17	70	70	NUM
cana-1632	149	18	%	%	NOUN
cana-1632	149	19	convergence	convergence	NOUN
cana-1632	149	20	rate	rate	NOUN
cana-1632	149	21	,	,	PUNCT
cana-1632	149	22	saves	save	VERB
cana-1632	149	23	55	55	NUM
cana-1632	149	24	%	%	NOUN
cana-1632	149	25	of	of	ADP
cana-1632	149	26	the	the	DET
cana-1632	149	27	time	time	NOUN
cana-1632	149	28	,	,	PUNCT
cana-1632	149	29	and	and	CCONJ
cana-1632	149	30	gives	give	VERB
cana-1632	149	31	88	88	NUM
cana-1632	149	32	%	%	NOUN
cana-1632	149	33	better	well	ADJ
cana-1632	149	34	solutions	solution	NOUN
cana-1632	149	35	.	.	PUNCT
cana-1632	150	1	overall	overall	ADV
cana-1632	150	2	,	,	PUNCT
cana-1632	150	3	ga	ga	PROPN
cana-1632	150	4	and	and	CCONJ
cana-1632	150	5	milp	milp	PROPN
cana-1632	150	6	stand	stand	VERB
cana-1632	150	7	out	out	ADP
cana-1632	150	8	.	.	PUNCT
cana-1632	151	1	ga	ga	PROPN
cana-1632	151	2	does	do	VERB
cana-1632	151	3	a	a	DET
cana-1632	151	4	good	good	ADJ
cana-1632	151	5	job	job	NOUN
cana-1632	151	6	of	of	ADP
cana-1632	151	7	matching	match	VERB
cana-1632	151	8	all	all	DET
cana-1632	151	9	measures	measure	NOUN
cana-1632	151	10	.	.	PUNCT
cana-1632	152	1	table	table	NOUN
cana-1632	152	2	2	2	NUM
cana-1632	152	3	:	:	PUNCT
cana-1632	152	4	performance	performance	NOUN
cana-1632	152	5	metrics	metric	NOUN
cana-1632	152	6	comparison	comparison	NOUN
cana-1632	152	7	performance	performance	NOUN
cana-1632	152	8	metric	metric	ADJ
cana-1632	152	9	genetic	genetic	ADJ
cana-1632	152	10	algorithm	algorithm	NOUN
cana-1632	152	11	(	(	PUNCT
cana-1632	152	12	ga	ga	NOUN
cana-1632	152	13	)	)	PUNCT
cana-1632	152	14	particle	particle	NOUN
cana-1632	152	15	swarm	swarm	NOUN
cana-1632	152	16	optimization	optimization	NOUN
cana-1632	152	17	(	(	PUNCT
cana-1632	152	18	pso	pso	NOUN
cana-1632	152	19	)	)	PUNCT
cana-1632	152	20	ant	ant	ADJ
cana-1632	152	21	colony	colony	NOUN
cana-1632	152	22	optimization	optimization	NOUN
cana-1632	152	23	(	(	PUNCT
cana-1632	152	24	aco	aco	PROPN
cana-1632	152	25	)	)	PUNCT
cana-1632	152	26	mixed	mix	VERB
cana-1632	152	27	-	-	PUNCT
cana-1632	152	28	integer	integer	NOUN
cana-1632	152	29	linear	linear	NOUN
cana-1632	152	30	programming	programming	NOUN
cana-1632	152	31	(	(	PUNCT
cana-1632	152	32	milp	milp	NOUN
cana-1632	152	33	)	)	PUNCT
cana-1632	152	34	nonlinear	nonlinear	ADJ
cana-1632	152	35	programming	programming	NOUN
cana-1632	152	36	(	(	PUNCT
cana-1632	152	37	nlp	nlp	NOUN
cana-1632	152	38	)	)	PUNCT
cana-1632	152	39	convergence	convergence	NOUN
cana-1632	152	40	rate	rate	NOUN
cana-1632	152	41	(	(	PUNCT
cana-1632	152	42	%	%	NOUN
cana-1632	152	43	)	)	PUNCT
cana-1632	152	44	85	85	NUM
cana-1632	152	45	80	80	NUM
cana-1632	152	46	75	75	NUM
cana-1632	152	47	90	90	NUM
cana-1632	152	48	70	70	NUM
cana-1632	152	49	computational	computational	ADJ
cana-1632	152	50	time	time	NOUN
cana-1632	152	51	reduction	reduction	NOUN
cana-1632	152	52	(	(	PUNCT
cana-1632	152	53	%	%	NOUN
cana-1632	152	54	)	)	PUNCT
cana-1632	152	55	70	70	NUM
cana-1632	152	56	65	65	NUM
cana-1632	152	57	60	60	NUM
cana-1632	152	58	50	50	NUM
cana-1632	152	59	55	55	NUM
cana-1632	152	60	solution	solution	NOUN
cana-1632	152	61	quality	quality	NOUN
cana-1632	152	62	(	(	PUNCT
cana-1632	152	63	%	%	NOUN
cana-1632	152	64	)	)	PUNCT
cana-1632	152	65	95	95	NUM
cana-1632	152	66	92	92	NUM
cana-1632	152	67	90	90	NUM
cana-1632	152	68	98	98	NUM
cana-1632	152	69	88	88	NUM
cana-1632	152	70	figure	figure	NOUN
cana-1632	152	71	2	2	NUM
cana-1632	152	72	:	:	PUNCT
cana-1632	152	73	performance	performance	NOUN
cana-1632	152	74	comparison	comparison	NOUN
cana-1632	152	75	of	of	ADP
cana-1632	152	76	optimization	optimization	NOUN
cana-1632	152	77	algorithm	algorithm	NOUN
cana-1632	152	78	the	the	DET
cana-1632	152	79	table	table	NOUN
cana-1632	152	80	(	(	PUNCT
cana-1632	152	81	3	3	X
cana-1632	152	82	)	)	PUNCT
cana-1632	152	83	shows	show	VERB
cana-1632	152	84	how	how	SCONJ
cana-1632	152	85	well	well	ADV
cana-1632	152	86	the	the	DET
cana-1632	152	87	different	different	ADJ
cana-1632	152	88	optimization	optimization	NOUN
cana-1632	152	89	algorithms	algorithm	NOUN
cana-1632	152	90	(	(	PUNCT
cana-1632	152	91	ga	ga	PROPN
cana-1632	152	92	,	,	PUNCT
cana-1632	152	93	pso	pso	PROPN
cana-1632	152	94	,	,	PUNCT
cana-1632	152	95	aco	aco	PROPN
cana-1632	152	96	,	,	PUNCT
cana-1632	152	97	milp	milp	PROPN
cana-1632	152	98	,	,	PUNCT
cana-1632	152	99	and	and	CCONJ
cana-1632	152	100	nlp	nlp	ADJ
cana-1632	152	101	)	)	PUNCT
cana-1632	152	102	work	work	NOUN
cana-1632	152	103	in	in	ADP
cana-1632	152	104	terms	term	NOUN
cana-1632	152	105	of	of	ADP
cana-1632	152	106	being	be	AUX
cana-1632	152	107	stable	stable	ADJ
cana-1632	152	108	,	,	PUNCT
cana-1632	152	109	scalable	scalable	ADJ
cana-1632	152	110	,	,	PUNCT
cana-1632	152	111	and	and	CCONJ
cana-1632	152	112	flexible	flexible	ADJ
cana-1632	152	113	.	.	PUNCT
cana-1632	153	1	strong	strong	ADJ
cana-1632	153	2	stability	stability	NOUN
cana-1632	153	3	(	(	PUNCT
cana-1632	153	4	95	95	NUM
cana-1632	153	5	%	%	NOUN
cana-1632	153	6	)	)	PUNCT
cana-1632	153	7	,	,	PUNCT
cana-1632	153	8	great	great	ADJ
cana-1632	153	9	growth	growth	NOUN
cana-1632	153	10	(	(	PUNCT
cana-1632	153	11	90	90	NUM
cana-1632	153	12	%	%	NOUN
cana-1632	153	13	)	)	PUNCT
cana-1632	153	14	,	,	PUNCT
cana-1632	153	15	and	and	CCONJ
cana-1632	153	16	strong	strong	ADJ
cana-1632	153	17	adaptability	adaptability	NOUN
cana-1632	153	18	(	(	PUNCT
cana-1632	153	19	88	88	NUM
cana-1632	153	20	%	%	NOUN
cana-1632	153	21	)	)	PUNCT
cana-1632	153	22	.	.	PUNCT
cana-1632	154	1	that	that	PRON
cana-1632	154	2	's	be	AUX
cana-1632	154	3	the	the	DET
cana-1632	154	4	genetic	genetic	ADJ
cana-1632	154	5	algorithm	algorithm	NOUN
cana-1632	154	6	(	(	PUNCT
cana-1632	154	7	ga	ga	PROPN
cana-1632	154	8	)	)	PUNCT
cana-1632	154	9	.	.	PUNCT
cana-1632	155	1	particle	particle	NOUN
cana-1632	155	2	swarm	swarm	NOUN
cana-1632	155	3	communications	communication	NOUN
cana-1632	155	4	on	on	ADP
cana-1632	155	5	applied	apply	VERB
cana-1632	155	6	nonlinear	nonlinear	ADJ
cana-1632	155	7	analysis	analysis	NOUN
cana-1632	155	8	issn	issn	NOUN
cana-1632	155	9	:	:	PUNCT
cana-1632	155	10	1074	1074	NUM
cana-1632	155	11	-	-	PUNCT
cana-1632	155	12	133x	133x	NUM
cana-1632	155	13	vol	vol	NOUN
cana-1632	155	14	32	32	NUM
cana-1632	155	15	no	no	NOUN
cana-1632	155	16	.	.	NOUN
cana-1632	155	17	1	1	NUM
cana-1632	155	18	(	(	PUNCT
cana-1632	155	19	2025	2025	NUM
cana-1632	155	20	)	)	PUNCT
cana-1632	155	21	222	222	NUM
cana-1632	155	22	https://internationalpubls.com	https://internationalpubls.com	X
cana-1632	155	23	optimization	optimization	NOUN
cana-1632	155	24	(	(	PUNCT
cana-1632	155	25	pso	pso	NOUN
cana-1632	155	26	)	)	PUNCT
cana-1632	155	27	also	also	ADV
cana-1632	155	28	does	do	VERB
cana-1632	155	29	well	well	ADV
cana-1632	155	30	;	;	PUNCT
cana-1632	155	31	it	it	PRON
cana-1632	155	32	has	have	VERB
cana-1632	155	33	an	an	DET
cana-1632	155	34	86	86	NUM
cana-1632	155	35	%	%	NOUN
cana-1632	155	36	flexibility	flexibility	NOUN
cana-1632	155	37	score	score	NOUN
cana-1632	155	38	,	,	PUNCT
cana-1632	155	39	an	an	DET
cana-1632	155	40	85	85	NUM
cana-1632	155	41	%	%	NOUN
cana-1632	155	42	stability	stability	NOUN
cana-1632	155	43	score	score	NOUN
cana-1632	155	44	,	,	PUNCT
cana-1632	155	45	and	and	CCONJ
cana-1632	155	46	an	an	DET
cana-1632	155	47	85	85	NUM
cana-1632	155	48	%	%	NOUN
cana-1632	155	49	scaling	scaling	NOUN
cana-1632	155	50	score	score	NOUN
cana-1632	155	51	.	.	PUNCT
cana-1632	156	1	ant	ant	ADJ
cana-1632	156	2	colony	colony	NOUN
cana-1632	156	3	optimization	optimization	NOUN
cana-1632	156	4	(	(	PUNCT
cana-1632	156	5	aco	aco	PROPN
cana-1632	156	6	)	)	PUNCT
cana-1632	156	7	does	do	VERB
cana-1632	156	8	pretty	pretty	ADV
cana-1632	156	9	well	well	ADV
cana-1632	156	10	.	.	PUNCT
cana-1632	157	1	it	it	PRON
cana-1632	157	2	got	get	VERB
cana-1632	157	3	80	80	NUM
cana-1632	157	4	%	%	NOUN
cana-1632	157	5	for	for	ADP
cana-1632	157	6	stability	stability	NOUN
cana-1632	157	7	,	,	PUNCT
cana-1632	157	8	75	75	NUM
cana-1632	157	9	%	%	NOUN
cana-1632	157	10	for	for	ADP
cana-1632	157	11	scale	scale	NOUN
cana-1632	157	12	,	,	PUNCT
cana-1632	157	13	and	and	CCONJ
cana-1632	157	14	80	80	NUM
cana-1632	157	15	%	%	NOUN
cana-1632	157	16	for	for	ADP
cana-1632	157	17	flexibility	flexibility	NOUN
cana-1632	157	18	.	.	PUNCT
cana-1632	158	1	mixed	mix	VERB
cana-1632	158	2	-	-	PUNCT
cana-1632	158	3	integer	integer	NOUN
cana-1632	158	4	linear	linear	NOUN
cana-1632	158	5	programming	programming	NOUN
cana-1632	158	6	(	(	PUNCT
cana-1632	158	7	milp	milp	NOUN
cana-1632	158	8	)	)	PUNCT
cana-1632	158	9	is	be	AUX
cana-1632	158	10	strong	strong	ADJ
cana-1632	158	11	(	(	PUNCT
cana-1632	158	12	90	90	NUM
cana-1632	158	13	%	%	NOUN
cana-1632	158	14	)	)	PUNCT
cana-1632	158	15	,	,	PUNCT
cana-1632	158	16	but	but	CCONJ
cana-1632	158	17	it	it	PRON
cana-1632	158	18	's	be	AUX
cana-1632	158	19	not	not	PART
cana-1632	158	20	as	as	ADV
cana-1632	158	21	flexible	flexible	ADJ
cana-1632	158	22	(	(	PUNCT
cana-1632	158	23	70	70	NUM
cana-1632	158	24	%	%	NOUN
cana-1632	158	25	)	)	PUNCT
cana-1632	158	26	,	,	PUNCT
cana-1632	158	27	or	or	CCONJ
cana-1632	158	28	able	able	ADJ
cana-1632	158	29	to	to	PART
cana-1632	158	30	change	change	VERB
cana-1632	158	31	to	to	ADP
cana-1632	158	32	new	new	ADJ
cana-1632	158	33	situations	situation	NOUN
cana-1632	158	34	(	(	PUNCT
cana-1632	158	35	75	75	NUM
cana-1632	158	36	%	%	NOUN
cana-1632	158	37	)	)	PUNCT
cana-1632	158	38	.	.	PUNCT
cana-1632	159	1	overall	overall	ADV
cana-1632	159	2	,	,	PUNCT
cana-1632	159	3	nonlinear	nonlinear	ADJ
cana-1632	159	4	programming	programming	NOUN
cana-1632	159	5	(	(	PUNCT
cana-1632	159	6	nlp	nlp	NOUN
cana-1632	159	7	)	)	PUNCT
cana-1632	159	8	has	have	VERB
cana-1632	159	9	the	the	DET
cana-1632	159	10	worst	bad	ADJ
cana-1632	159	11	results	result	NOUN
cana-1632	159	12	.	.	PUNCT
cana-1632	160	1	its	its	PRON
cana-1632	160	2	scores	score	NOUN
cana-1632	160	3	for	for	ADP
cana-1632	160	4	stability	stability	NOUN
cana-1632	160	5	are	be	AUX
cana-1632	160	6	82	82	NUM
cana-1632	160	7	%	%	NOUN
cana-1632	160	8	,	,	PUNCT
cana-1632	160	9	scale	scale	NOUN
cana-1632	160	10	are	be	AUX
cana-1632	160	11	65	65	NUM
cana-1632	160	12	%	%	NOUN
cana-1632	160	13	,	,	PUNCT
cana-1632	160	14	and	and	CCONJ
cana-1632	160	15	adaptability	adaptability	NOUN
cana-1632	160	16	are	be	AUX
cana-1632	160	17	78	78	NUM
cana-1632	160	18	%	%	NOUN
cana-1632	160	19	.	.	PUNCT
cana-1632	161	1	overall	overall	ADJ
cana-1632	161	2	,	,	PUNCT
cana-1632	161	3	ga	ga	PROPN
cana-1632	161	4	and	and	CCONJ
cana-1632	161	5	pso	pso	NOUN
cana-1632	161	6	are	be	AUX
cana-1632	161	7	the	the	DET
cana-1632	161	8	most	most	ADV
cana-1632	161	9	balanced	balanced	ADJ
cana-1632	161	10	across	across	ADP
cana-1632	161	11	these	these	DET
cana-1632	161	12	performance	performance	NOUN
cana-1632	161	13	measures	measure	NOUN
cana-1632	161	14	.	.	PUNCT
cana-1632	162	1	milp	milp	PROPN
cana-1632	162	2	and	and	CCONJ
cana-1632	162	3	nlp	nlp	ADJ
cana-1632	162	4	,	,	PUNCT
cana-1632	162	5	on	on	ADP
cana-1632	162	6	the	the	DET
cana-1632	162	7	other	other	ADJ
cana-1632	162	8	hand	hand	NOUN
cana-1632	162	9	,	,	PUNCT
cana-1632	162	10	have	have	VERB
cana-1632	162	11	trouble	trouble	NOUN
cana-1632	162	12	with	with	ADP
cana-1632	162	13	being	be	AUX
cana-1632	162	14	able	able	ADJ
cana-1632	162	15	to	to	PART
cana-1632	162	16	grow	grow	VERB
cana-1632	162	17	and	and	CCONJ
cana-1632	162	18	change	change	VERB
cana-1632	162	19	.	.	PUNCT
cana-1632	163	1	table	table	NOUN
cana-1632	163	2	3	3	NUM
cana-1632	163	3	:	:	PUNCT
cana-1632	163	4	performance	performance	NOUN
cana-1632	163	5	comparison	comparison	NOUN
cana-1632	163	6	of	of	ADP
cana-1632	163	7	ga	ga	PROPN
cana-1632	163	8	algorithm	algorithm	NOUN
cana-1632	163	9	vs	vs	ADP
cana-1632	163	10	other	other	ADJ
cana-1632	163	11	algorithm	algorithm	NOUN
cana-1632	163	12	performance	performance	NOUN
cana-1632	163	13	metric	metric	ADJ
cana-1632	163	14	genetic	genetic	ADJ
cana-1632	163	15	algorithm	algorithm	NOUN
cana-1632	163	16	(	(	PUNCT
cana-1632	163	17	ga	ga	NOUN
cana-1632	163	18	)	)	PUNCT
cana-1632	163	19	particle	particle	NOUN
cana-1632	163	20	swarm	swarm	NOUN
cana-1632	163	21	optimization	optimization	NOUN
cana-1632	163	22	(	(	PUNCT
cana-1632	163	23	pso	pso	NOUN
cana-1632	163	24	)	)	PUNCT
cana-1632	163	25	ant	ant	ADJ
cana-1632	163	26	colony	colony	NOUN
cana-1632	163	27	optimization	optimization	NOUN
cana-1632	163	28	(	(	PUNCT
cana-1632	163	29	aco	aco	PROPN
cana-1632	163	30	)	)	PUNCT
cana-1632	163	31	mixed	mix	VERB
cana-1632	163	32	-	-	PUNCT
cana-1632	163	33	integer	integer	NOUN
cana-1632	163	34	linear	linear	NOUN
cana-1632	163	35	programming	programming	NOUN
cana-1632	163	36	(	(	PUNCT
cana-1632	163	37	milp	milp	NOUN
cana-1632	163	38	)	)	PUNCT
cana-1632	163	39	nonlinear	nonlinear	ADJ
cana-1632	163	40	programming	programming	NOUN
cana-1632	163	41	(	(	PUNCT
cana-1632	163	42	nlp	nlp	NOUN
cana-1632	163	43	)	)	PUNCT
cana-1632	163	44	robustness	robustness	NOUN
cana-1632	163	45	(	(	PUNCT
cana-1632	163	46	%	%	NOUN
cana-1632	163	47	)	)	PUNCT
cana-1632	163	48	95	95	NUM
cana-1632	163	49	85	85	NUM
cana-1632	163	50	80	80	NUM
cana-1632	163	51	90	90	NUM
cana-1632	163	52	82	82	NUM
cana-1632	163	53	scalability	scalability	NOUN
cana-1632	163	54	(	(	PUNCT
cana-1632	163	55	%	%	NOUN
cana-1632	163	56	)	)	PUNCT
cana-1632	163	57	90	90	NUM
cana-1632	163	58	85	85	NUM
cana-1632	163	59	75	75	NUM
cana-1632	163	60	70	70	NUM
cana-1632	163	61	65	65	NUM
cana-1632	163	62	adaptability	adaptability	NOUN
cana-1632	163	63	(	(	PUNCT
cana-1632	163	64	%	%	NOUN
cana-1632	163	65	)	)	PUNCT
cana-1632	163	66	88	88	NUM
cana-1632	163	67	86	86	NUM
cana-1632	163	68	80	80	NUM
cana-1632	163	69	75	75	NUM
cana-1632	163	70	78	78	NUM
cana-1632	163	71	the	the	DET
cana-1632	163	72	table	table	NOUN
cana-1632	163	73	(	(	PUNCT
cana-1632	163	74	3	3	X
cana-1632	163	75	)	)	PUNCT
cana-1632	163	76	shows	show	VERB
cana-1632	163	77	how	how	SCONJ
cana-1632	163	78	well	well	ADV
cana-1632	163	79	the	the	DET
cana-1632	163	80	different	different	ADJ
cana-1632	163	81	optimization	optimization	NOUN
cana-1632	163	82	algorithms	algorithm	NOUN
cana-1632	163	83	(	(	PUNCT
cana-1632	163	84	ga	ga	PROPN
cana-1632	163	85	,	,	PUNCT
cana-1632	163	86	pso	pso	PROPN
cana-1632	163	87	,	,	PUNCT
cana-1632	163	88	aco	aco	PROPN
cana-1632	163	89	,	,	PUNCT
cana-1632	163	90	milp	milp	PROPN
cana-1632	163	91	,	,	PUNCT
cana-1632	163	92	and	and	CCONJ
cana-1632	163	93	nlp	nlp	ADJ
cana-1632	163	94	)	)	PUNCT
cana-1632	163	95	work	work	NOUN
cana-1632	163	96	in	in	ADP
cana-1632	163	97	terms	term	NOUN
cana-1632	163	98	of	of	ADP
cana-1632	163	99	being	be	AUX
cana-1632	163	100	stable	stable	ADJ
cana-1632	163	101	,	,	PUNCT
cana-1632	163	102	scalable	scalable	ADJ
cana-1632	163	103	,	,	PUNCT
cana-1632	163	104	and	and	CCONJ
cana-1632	163	105	flexible	flexible	ADJ
cana-1632	163	106	.	.	PUNCT
cana-1632	164	1	strong	strong	ADJ
cana-1632	164	2	stability	stability	NOUN
cana-1632	164	3	(	(	PUNCT
cana-1632	164	4	95	95	NUM
cana-1632	164	5	%	%	NOUN
cana-1632	164	6	)	)	PUNCT
cana-1632	164	7	,	,	PUNCT
cana-1632	164	8	great	great	ADJ
cana-1632	164	9	growth	growth	NOUN
cana-1632	164	10	(	(	PUNCT
cana-1632	164	11	90	90	NUM
cana-1632	164	12	%	%	NOUN
cana-1632	164	13	)	)	PUNCT
cana-1632	164	14	,	,	PUNCT
cana-1632	164	15	and	and	CCONJ
cana-1632	164	16	strong	strong	ADJ
cana-1632	164	17	adaptability	adaptability	NOUN
cana-1632	164	18	(	(	PUNCT
cana-1632	164	19	88	88	NUM
cana-1632	164	20	%	%	NOUN
cana-1632	164	21	)	)	PUNCT
cana-1632	164	22	.	.	PUNCT
cana-1632	165	1	that	that	PRON
cana-1632	165	2	's	be	AUX
cana-1632	165	3	the	the	DET
cana-1632	165	4	genetic	genetic	ADJ
cana-1632	165	5	algorithm	algorithm	NOUN
cana-1632	165	6	(	(	PUNCT
cana-1632	165	7	ga	ga	PROPN
cana-1632	165	8	)	)	PUNCT
cana-1632	165	9	.	.	PUNCT
cana-1632	166	1	particle	particle	NOUN
cana-1632	166	2	swarm	swarm	NOUN
cana-1632	166	3	optimization	optimization	NOUN
cana-1632	166	4	(	(	PUNCT
cana-1632	166	5	pso	pso	NOUN
cana-1632	166	6	)	)	PUNCT
cana-1632	166	7	also	also	ADV
cana-1632	166	8	does	do	VERB
cana-1632	166	9	well	well	ADV
cana-1632	166	10	;	;	PUNCT
cana-1632	166	11	it	it	PRON
cana-1632	166	12	has	have	VERB
cana-1632	166	13	an	an	DET
cana-1632	166	14	86	86	NUM
cana-1632	166	15	%	%	NOUN
cana-1632	166	16	flexibility	flexibility	NOUN
cana-1632	166	17	score	score	NOUN
cana-1632	166	18	,	,	PUNCT
cana-1632	166	19	an	an	DET
cana-1632	166	20	85	85	NUM
cana-1632	166	21	%	%	NOUN
cana-1632	166	22	stability	stability	NOUN
cana-1632	166	23	score	score	NOUN
cana-1632	166	24	,	,	PUNCT
cana-1632	166	25	and	and	CCONJ
cana-1632	166	26	an	an	DET
cana-1632	166	27	85	85	NUM
cana-1632	166	28	%	%	NOUN
cana-1632	166	29	scaling	scaling	NOUN
cana-1632	166	30	score	score	NOUN
cana-1632	166	31	.	.	PUNCT
cana-1632	167	1	ant	ant	ADJ
cana-1632	167	2	colony	colony	NOUN
cana-1632	167	3	optimization	optimization	NOUN
cana-1632	167	4	(	(	PUNCT
cana-1632	167	5	aco	aco	PROPN
cana-1632	167	6	)	)	PUNCT
cana-1632	167	7	does	do	VERB
cana-1632	167	8	pretty	pretty	ADV
cana-1632	167	9	well	well	ADV
cana-1632	167	10	.	.	PUNCT
cana-1632	168	1	it	it	PRON
cana-1632	168	2	got	get	VERB
cana-1632	168	3	80	80	NUM
cana-1632	168	4	%	%	NOUN
cana-1632	168	5	for	for	ADP
cana-1632	168	6	stability	stability	NOUN
cana-1632	168	7	,	,	PUNCT
cana-1632	168	8	75	75	NUM
cana-1632	168	9	%	%	NOUN
cana-1632	168	10	for	for	ADP
cana-1632	168	11	scale	scale	NOUN
cana-1632	168	12	,	,	PUNCT
cana-1632	168	13	and	and	CCONJ
cana-1632	168	14	80	80	NUM
cana-1632	168	15	%	%	NOUN
cana-1632	168	16	for	for	ADP
cana-1632	168	17	flexibility	flexibility	NOUN
cana-1632	168	18	.	.	PUNCT
cana-1632	169	1	figure	figure	VERB
cana-1632	169	2	3	3	NUM
cana-1632	169	3	:	:	PUNCT
cana-1632	169	4	representation	representation	NOUN
cana-1632	169	5	of	of	ADP
cana-1632	169	6	performance	performance	NOUN
cana-1632	169	7	comparison	comparison	NOUN
cana-1632	169	8	of	of	ADP
cana-1632	169	9	different	different	ADJ
cana-1632	169	10	optimization	optimization	NOUN
cana-1632	169	11	algorithm	algorithm	NOUN
cana-1632	169	12	mixed	mix	VERB
cana-1632	169	13	-	-	PUNCT
cana-1632	169	14	integer	integer	NOUN
cana-1632	169	15	linear	linear	NOUN
cana-1632	169	16	programming	programming	NOUN
cana-1632	169	17	(	(	PUNCT
cana-1632	169	18	milp	milp	NOUN
cana-1632	169	19	)	)	PUNCT
cana-1632	169	20	is	be	AUX
cana-1632	169	21	strong	strong	ADJ
cana-1632	169	22	(	(	PUNCT
cana-1632	169	23	90	90	NUM
cana-1632	169	24	%	%	NOUN
cana-1632	169	25	)	)	PUNCT
cana-1632	169	26	,	,	PUNCT
cana-1632	169	27	but	but	CCONJ
cana-1632	169	28	it	it	PRON
cana-1632	169	29	's	be	AUX
cana-1632	169	30	not	not	PART
cana-1632	169	31	as	as	ADV
cana-1632	169	32	flexible	flexible	ADJ
cana-1632	169	33	(	(	PUNCT
cana-1632	169	34	70	70	NUM
cana-1632	169	35	%	%	NOUN
cana-1632	169	36	)	)	PUNCT
cana-1632	169	37	,	,	PUNCT
cana-1632	169	38	or	or	CCONJ
cana-1632	169	39	able	able	ADJ
cana-1632	169	40	to	to	PART
cana-1632	169	41	change	change	VERB
cana-1632	169	42	to	to	ADP
cana-1632	169	43	new	new	ADJ
cana-1632	169	44	situations	situation	NOUN
cana-1632	169	45	(	(	PUNCT
cana-1632	169	46	75	75	NUM
cana-1632	169	47	%	%	NOUN
cana-1632	169	48	)	)	PUNCT
cana-1632	169	49	.	.	PUNCT
cana-1632	170	1	overall	overall	ADV
cana-1632	170	2	,	,	PUNCT
cana-1632	170	3	nonlinear	nonlinear	ADJ
cana-1632	170	4	programming	programming	NOUN
cana-1632	170	5	(	(	PUNCT
cana-1632	170	6	nlp	nlp	NOUN
cana-1632	170	7	)	)	PUNCT
cana-1632	170	8	has	have	VERB
cana-1632	170	9	the	the	DET
cana-1632	170	10	worst	bad	ADJ
cana-1632	170	11	results	result	NOUN
cana-1632	170	12	.	.	PUNCT
cana-1632	171	1	its	its	PRON
cana-1632	171	2	scores	score	NOUN
cana-1632	171	3	for	for	ADP
cana-1632	171	4	stability	stability	NOUN
cana-1632	171	5	are	be	AUX
cana-1632	171	6	82	82	NUM
cana-1632	171	7	%	%	NOUN
cana-1632	171	8	,	,	PUNCT
cana-1632	171	9	scale	scale	NOUN
cana-1632	171	10	are	be	AUX
cana-1632	171	11	65	65	NUM
cana-1632	171	12	%	%	NOUN
cana-1632	171	13	,	,	PUNCT
cana-1632	171	14	and	and	CCONJ
cana-1632	171	15	adaptability	adaptability	NOUN
cana-1632	171	16	are	be	AUX
cana-1632	171	17	78	78	NUM
cana-1632	171	18	%	%	NOUN
cana-1632	171	19	.	.	PUNCT
cana-1632	172	1	overall	overall	ADJ
cana-1632	172	2	,	,	PUNCT
cana-1632	172	3	ga	ga	PROPN
cana-1632	172	4	and	and	CCONJ
cana-1632	172	5	pso	pso	NOUN
cana-1632	172	6	are	be	AUX
cana-1632	172	7	the	the	DET
cana-1632	172	8	most	most	ADV
cana-1632	172	9	balanced	balanced	ADJ
cana-1632	172	10	across	across	ADP
cana-1632	172	11	these	these	DET
cana-1632	172	12	performance	performance	NOUN
cana-1632	172	13	measures	measure	NOUN
cana-1632	172	14	.	.	PUNCT
cana-1632	173	1	milp	milp	PROPN
cana-1632	173	2	and	and	CCONJ
cana-1632	173	3	nlp	nlp	ADJ
cana-1632	173	4	,	,	PUNCT
cana-1632	173	5	on	on	ADP
cana-1632	173	6	the	the	DET
cana-1632	173	7	other	other	ADJ
cana-1632	173	8	hand	hand	NOUN
cana-1632	173	9	,	,	PUNCT
cana-1632	173	10	have	have	VERB
cana-1632	173	11	trouble	trouble	NOUN
cana-1632	173	12	with	with	ADP
cana-1632	173	13	being	be	AUX
cana-1632	173	14	able	able	ADJ
cana-1632	173	15	to	to	PART
cana-1632	173	16	grow	grow	VERB
cana-1632	173	17	and	and	CCONJ
cana-1632	173	18	change	change	VERB
cana-1632	173	19	.	.	PUNCT
cana-1632	174	1	figure	figure	NOUN
cana-1632	174	2	3	3	NUM
cana-1632	174	3	shows	show	VERB
cana-1632	174	4	how	how	SCONJ
cana-1632	174	5	well	well	ADV
cana-1632	174	6	genetic	genetic	ADJ
cana-1632	174	7	algorithm	algorithm	NOUN
cana-1632	174	8	(	(	PUNCT
cana-1632	174	9	ga	ga	PROPN
cana-1632	174	10	)	)	PUNCT
cana-1632	174	11	,	,	PUNCT
cana-1632	174	12	particle	particle	NOUN
cana-1632	174	13	swarm	swarm	NOUN
cana-1632	174	14	optimization	optimization	NOUN
cana-1632	174	15	(	(	PUNCT
cana-1632	174	16	pso	pso	NOUN
cana-1632	174	17	)	)	PUNCT
cana-1632	174	18	,	,	PUNCT
cana-1632	174	19	ant	ant	ADJ
cana-1632	174	20	colony	colony	NOUN
cana-1632	174	21	optimization	optimization	NOUN
cana-1632	174	22	(	(	PUNCT
cana-1632	174	23	aco	aco	PROPN
cana-1632	174	24	)	)	PUNCT
cana-1632	174	25	,	,	PUNCT
cana-1632	174	26	mixed	mixed	ADJ
cana-1632	174	27	-	-	PUNCT
cana-1632	174	28	integer	integer	NOUN
cana-1632	174	29	linear	linear	NOUN
cana-1632	174	30	programming	programming	NOUN
cana-1632	174	31	(	(	PUNCT
cana-1632	174	32	milp	milp	NOUN
cana-1632	174	33	)	)	PUNCT
cana-1632	174	34	,	,	PUNCT
cana-1632	174	35	and	and	CCONJ
cana-1632	174	36	nonlinear	nonlinear	ADJ
cana-1632	174	37	programming	programming	NOUN
cana-1632	174	38	(	(	PUNCT
cana-1632	174	39	nlp	nlp	NOUN
cana-1632	174	40	)	)	PUNCT
cana-1632	174	41	work	work	NOUN
cana-1632	174	42	by	by	ADP
cana-1632	174	43	looking	look	VERB
cana-1632	174	44	at	at	ADP
cana-1632	174	45	three	three	NUM
cana-1632	174	46	factors	factor	NOUN
cana-1632	174	47	:	:	PUNCT
cana-1632	174	48	how	how	SCONJ
cana-1632	174	49	robust	robust	ADJ
cana-1632	174	50	they	they	PRON
cana-1632	174	51	are	be	AUX
cana-1632	174	52	,	,	PUNCT
cana-1632	174	53	how	how	SCONJ
cana-1632	174	54	well	well	ADV
cana-1632	174	55	they	they	PRON
cana-1632	174	56	can	can	AUX
cana-1632	174	57	scale	scale	VERB
cana-1632	174	58	,	,	PUNCT
cana-1632	174	59	and	and	CCONJ
cana-1632	174	60	how	how	SCONJ
cana-1632	174	61	well	well	ADV
cana-1632	174	62	they	they	PRON
cana-1632	174	63	can	can	AUX
cana-1632	174	64	adapt	adapt	VERB
cana-1632	174	65	.	.	PUNCT
cana-1632	175	1	the	the	DET
cana-1632	175	2	graph	graph	NOUN
cana-1632	175	3	shows	show	VERB
cana-1632	175	4	that	that	SCONJ
cana-1632	175	5	ga	ga	PROPN
cana-1632	175	6	always	always	ADV
cana-1632	175	7	gets	get	VERB
cana-1632	175	8	high	high	ADJ
cana-1632	175	9	communications	communication	NOUN
cana-1632	175	10	on	on	ADP
cana-1632	175	11	applied	apply	VERB
cana-1632	175	12	nonlinear	nonlinear	ADJ
cana-1632	175	13	analysis	analysis	NOUN
cana-1632	175	14	issn	issn	NOUN
cana-1632	175	15	:	:	PUNCT
cana-1632	175	16	1074	1074	NUM
cana-1632	175	17	-	-	PUNCT
cana-1632	175	18	133x	133x	NUM
cana-1632	175	19	vol	vol	NOUN
cana-1632	175	20	32	32	NUM
cana-1632	175	21	no	no	NOUN
cana-1632	175	22	.	.	NOUN
cana-1632	175	23	1	1	NUM
cana-1632	175	24	(	(	PUNCT
cana-1632	175	25	2025	2025	NUM
cana-1632	175	26	)	)	PUNCT
cana-1632	176	1	223	223	NUM
cana-1632	177	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1632	177	2	marks	mark	NOUN
cana-1632	177	3	for	for	ADP
cana-1632	177	4	all	all	DET
cana-1632	177	5	metrics	metric	NOUN
cana-1632	177	6	,	,	PUNCT
cana-1632	177	7	with	with	ADP
cana-1632	177	8	the	the	DET
cana-1632	177	9	highest	high	ADJ
cana-1632	177	10	scores	score	NOUN
cana-1632	177	11	being	be	AUX
cana-1632	177	12	95	95	NUM
cana-1632	177	13	%	%	NOUN
cana-1632	177	14	for	for	ADP
cana-1632	177	15	reliability	reliability	NOUN
cana-1632	177	16	and	and	CCONJ
cana-1632	177	17	90	90	NUM
cana-1632	177	18	%	%	NOUN
cana-1632	177	19	for	for	ADP
cana-1632	177	20	scale	scale	NOUN
cana-1632	177	21	.	.	PUNCT
cana-1632	178	1	pso	pso	NOUN
cana-1632	178	2	also	also	ADV
cana-1632	178	3	does	do	VERB
cana-1632	178	4	well	well	ADV
cana-1632	178	5	,	,	PUNCT
cana-1632	178	6	especially	especially	ADV
cana-1632	178	7	when	when	SCONJ
cana-1632	178	8	it	it	PRON
cana-1632	178	9	comes	come	VERB
cana-1632	178	10	to	to	ADP
cana-1632	178	11	flexibility	flexibility	NOUN
cana-1632	178	12	(	(	PUNCT
cana-1632	178	13	86	86	NUM
cana-1632	178	14	%	%	NOUN
cana-1632	178	15	)	)	PUNCT
cana-1632	178	16	.	.	PUNCT
cana-1632	179	1	aco	aco	PROPN
cana-1632	179	2	's	's	PART
cana-1632	179	3	speed	speed	NOUN
cana-1632	179	4	is	be	AUX
cana-1632	179	5	average	average	ADJ
cana-1632	179	6	,	,	PUNCT
cana-1632	179	7	and	and	CCONJ
cana-1632	179	8	it	it	PRON
cana-1632	179	9	's	be	AUX
cana-1632	179	10	not	not	PART
cana-1632	179	11	very	very	ADV
cana-1632	179	12	scalable	scalable	ADJ
cana-1632	179	13	(	(	PUNCT
cana-1632	179	14	75	75	NUM
cana-1632	179	15	%	%	NOUN
cana-1632	179	16	)	)	PUNCT
cana-1632	179	17	.	.	PUNCT
cana-1632	180	1	milp	milp	PROPN
cana-1632	180	2	is	be	AUX
cana-1632	180	3	strong	strong	ADJ
cana-1632	180	4	(	(	PUNCT
cana-1632	180	5	90	90	NUM
cana-1632	180	6	%	%	NOUN
cana-1632	180	7	)	)	PUNCT
cana-1632	180	8	,	,	PUNCT
cana-1632	180	9	but	but	CCONJ
cana-1632	180	10	not	not	PART
cana-1632	180	11	as	as	ADV
cana-1632	180	12	scalable	scalable	ADJ
cana-1632	180	13	(	(	PUNCT
cana-1632	180	14	70	70	NUM
cana-1632	180	15	%	%	NOUN
cana-1632	180	16	)	)	PUNCT
cana-1632	180	17	,	,	PUNCT
cana-1632	180	18	or	or	CCONJ
cana-1632	180	19	flexible	flexible	ADJ
cana-1632	180	20	(	(	PUNCT
cana-1632	180	21	75	75	NUM
cana-1632	180	22	%	%	NOUN
cana-1632	180	23	)	)	PUNCT
cana-1632	180	24	.	.	PUNCT
cana-1632	181	1	overall	overall	ADV
cana-1632	181	2	,	,	PUNCT
cana-1632	181	3	nlp	nlp	NOUN
cana-1632	181	4	has	have	VERB
cana-1632	181	5	the	the	DET
cana-1632	181	6	worst	bad	ADJ
cana-1632	181	7	results	result	NOUN
cana-1632	181	8	,	,	PUNCT
cana-1632	181	9	especially	especially	ADV
cana-1632	181	10	when	when	SCONJ
cana-1632	181	11	it	it	PRON
cana-1632	181	12	comes	come	VERB
cana-1632	181	13	to	to	ADP
cana-1632	181	14	growth	growth	NOUN
cana-1632	181	15	(	(	PUNCT
cana-1632	181	16	65	65	NUM
cana-1632	181	17	%	%	NOUN
cana-1632	181	18	)	)	PUNCT
cana-1632	181	19	.	.	PUNCT
cana-1632	182	1	table	table	NOUN
cana-1632	182	2	4	4	NUM
cana-1632	182	3	:	:	PUNCT
cana-1632	182	4	comparison	comparison	NOUN
cana-1632	182	5	of	of	ADP
cana-1632	182	6	execution	execution	NOUN
cana-1632	182	7	&	&	CCONJ
cana-1632	182	8	processing	processing	NOUN
cana-1632	182	9	speed	speed	NOUN
cana-1632	182	10	performance	performance	NOUN
cana-1632	182	11	metric	metric	ADJ
cana-1632	182	12	genetic	genetic	ADJ
cana-1632	182	13	algorithm	algorithm	NOUN
cana-1632	182	14	(	(	PUNCT
cana-1632	182	15	ga	ga	NOUN
cana-1632	182	16	)	)	PUNCT
cana-1632	182	17	particle	particle	NOUN
cana-1632	182	18	swarm	swarm	NOUN
cana-1632	182	19	optimization	optimization	NOUN
cana-1632	182	20	(	(	PUNCT
cana-1632	182	21	pso	pso	NOUN
cana-1632	182	22	)	)	PUNCT
cana-1632	182	23	ant	ant	ADJ
cana-1632	182	24	colony	colony	NOUN
cana-1632	182	25	optimization	optimization	NOUN
cana-1632	182	26	(	(	PUNCT
cana-1632	182	27	aco	aco	PROPN
cana-1632	182	28	)	)	PUNCT
cana-1632	182	29	mixed	mix	VERB
cana-1632	182	30	-	-	PUNCT
cana-1632	182	31	integer	integer	NOUN
cana-1632	182	32	linear	linear	NOUN
cana-1632	182	33	programming	programming	NOUN
cana-1632	182	34	(	(	PUNCT
cana-1632	182	35	milp	milp	NOUN
cana-1632	182	36	)	)	PUNCT
cana-1632	182	37	nonlinear	nonlinear	ADJ
cana-1632	182	38	programming	programming	NOUN
cana-1632	182	39	(	(	PUNCT
cana-1632	182	40	nlp	nlp	NOUN
cana-1632	182	41	)	)	PUNCT
cana-1632	182	42	execution	execution	NOUN
cana-1632	182	43	speed	speed	NOUN
cana-1632	182	44	(	(	PUNCT
cana-1632	182	45	%	%	NOUN
cana-1632	182	46	)	)	PUNCT
cana-1632	182	47	75	75	NUM
cana-1632	182	48	70	70	NUM
cana-1632	182	49	65	65	NUM
cana-1632	182	50	60	60	NUM
cana-1632	182	51	55	55	NUM
cana-1632	182	52	processing	processing	NOUN
cana-1632	182	53	speed	speed	NOUN
cana-1632	182	54	(	(	PUNCT
cana-1632	182	55	%	%	NOUN
cana-1632	182	56	)	)	PUNCT
cana-1632	182	57	80	80	NUM
cana-1632	182	58	75	75	NUM
cana-1632	182	59	70	70	NUM
cana-1632	182	60	65	65	NUM
cana-1632	182	61	60	60	NUM
cana-1632	182	62	this	this	DET
cana-1632	182	63	table	table	NOUN
cana-1632	182	64	(	(	PUNCT
cana-1632	182	65	4	4	X
cana-1632	182	66	)	)	PUNCT
cana-1632	182	67	shows	show	VERB
cana-1632	182	68	a	a	DET
cana-1632	182	69	full	full	ADJ
cana-1632	182	70	comparison	comparison	NOUN
cana-1632	182	71	of	of	ADP
cana-1632	182	72	ga	ga	PROPN
cana-1632	182	73	against	against	ADP
cana-1632	182	74	other	other	ADJ
cana-1632	182	75	optimization	optimization	NOUN
cana-1632	182	76	algorithms	algorithm	NOUN
cana-1632	182	77	.	.	PUNCT
cana-1632	183	1	it	it	PRON
cana-1632	183	2	shows	show	VERB
cana-1632	183	3	how	how	SCONJ
cana-1632	183	4	ga	ga	PROPN
cana-1632	183	5	performs	perform	VERB
cana-1632	183	6	well	well	ADV
cana-1632	183	7	in	in	ADP
cana-1632	183	8	terms	term	NOUN
cana-1632	183	9	of	of	ADP
cana-1632	183	10	execution	execution	NOUN
cana-1632	183	11	and	and	CCONJ
cana-1632	183	12	processing	processing	NOUN
cana-1632	183	13	speeds	speed	NOUN
cana-1632	183	14	,	,	PUNCT
cana-1632	183	15	as	as	ADV
cana-1632	183	16	well	well	ADV
cana-1632	183	17	as	as	ADP
cana-1632	183	18	other	other	ADJ
cana-1632	183	19	performance	performance	NOUN
cana-1632	183	20	measures	measure	NOUN
cana-1632	183	21	.	.	PUNCT
cana-1632	184	1	figure	figure	VERB
cana-1632	184	2	4	4	NUM
cana-1632	184	3	:	:	PUNCT
cana-1632	184	4	representation	representation	NOUN
cana-1632	184	5	of	of	ADP
cana-1632	184	6	execution	execution	NOUN
cana-1632	184	7	&	&	CCONJ
cana-1632	184	8	processing	processing	NOUN
cana-1632	184	9	speed	speed	NOUN
cana-1632	184	10	comparison	comparison	NOUN
cana-1632	184	11	figure	figure	NOUN
cana-1632	184	12	(	(	PUNCT
cana-1632	184	13	4	4	NUM
cana-1632	184	14	)	)	PUNCT
cana-1632	184	15	shows	show	VERB
cana-1632	184	16	how	how	SCONJ
cana-1632	184	17	well	well	ADV
cana-1632	184	18	different	different	ADJ
cana-1632	184	19	optimization	optimization	NOUN
cana-1632	184	20	methods	method	NOUN
cana-1632	184	21	(	(	PUNCT
cana-1632	184	22	genetic	genetic	ADJ
cana-1632	184	23	algorithm	algorithm	NOUN
cana-1632	184	24	(	(	PUNCT
cana-1632	184	25	ga	ga	PROPN
cana-1632	184	26	)	)	PUNCT
cana-1632	184	27	,	,	PUNCT
cana-1632	184	28	particle	particle	NOUN
cana-1632	184	29	swarm	swarm	NOUN
cana-1632	184	30	optimization	optimization	NOUN
cana-1632	184	31	(	(	PUNCT
cana-1632	184	32	pso	pso	NOUN
cana-1632	184	33	)	)	PUNCT
cana-1632	184	34	,	,	PUNCT
cana-1632	184	35	ant	ant	ADJ
cana-1632	184	36	colony	colony	NOUN
cana-1632	184	37	optimization	optimization	NOUN
cana-1632	184	38	(	(	PUNCT
cana-1632	184	39	aco	aco	PROPN
cana-1632	184	40	)	)	PUNCT
cana-1632	184	41	,	,	PUNCT
cana-1632	184	42	mixed	mixed	ADJ
cana-1632	184	43	-	-	PUNCT
cana-1632	184	44	integer	integer	NOUN
cana-1632	184	45	linear	linear	NOUN
cana-1632	184	46	programming	programming	NOUN
cana-1632	184	47	(	(	PUNCT
cana-1632	184	48	milp	milp	NOUN
cana-1632	184	49	)	)	PUNCT
cana-1632	184	50	,	,	PUNCT
cana-1632	184	51	and	and	CCONJ
cana-1632	184	52	nonlinear	nonlinear	ADJ
cana-1632	184	53	programming	programming	NOUN
cana-1632	184	54	(	(	PUNCT
cana-1632	184	55	nlp	nlp	NOUN
cana-1632	184	56	)	)	PUNCT
cana-1632	184	57	)	)	PUNCT
cana-1632	184	58	work	work	NOUN
cana-1632	184	59	by	by	ADP
cana-1632	184	60	looking	look	VERB
cana-1632	184	61	at	at	ADP
cana-1632	184	62	how	how	SCONJ
cana-1632	184	63	fast	fast	ADV
cana-1632	184	64	they	they	PRON
cana-1632	184	65	run	run	VERB
cana-1632	184	66	and	and	CCONJ
cana-1632	184	67	how	how	SCONJ
cana-1632	184	68	fast	fast	ADV
cana-1632	184	69	they	they	PRON
cana-1632	184	70	handle	handle	VERB
cana-1632	184	71	information	information	NOUN
cana-1632	184	72	.	.	PUNCT
cana-1632	185	1	ga	ga	PROPN
cana-1632	185	2	has	have	VERB
cana-1632	185	3	the	the	DET
cana-1632	185	4	fastest	fast	ADJ
cana-1632	185	5	execution	execution	NOUN
cana-1632	185	6	speed	speed	NOUN
cana-1632	185	7	(	(	PUNCT
cana-1632	185	8	75	75	NUM
cana-1632	185	9	%	%	NOUN
cana-1632	185	10	of	of	ADP
cana-1632	185	11	the	the	DET
cana-1632	185	12	time	time	NOUN
cana-1632	185	13	)	)	PUNCT
cana-1632	185	14	and	and	CCONJ
cana-1632	185	15	the	the	DET
cana-1632	185	16	fastest	fast	ADJ
cana-1632	185	17	processing	processing	NOUN
cana-1632	185	18	speed	speed	NOUN
cana-1632	185	19	(	(	PUNCT
cana-1632	185	20	80	80	NUM
cana-1632	185	21	%	%	NOUN
cana-1632	185	22	of	of	ADP
cana-1632	185	23	the	the	DET
cana-1632	185	24	time	time	NOUN
cana-1632	185	25	)	)	PUNCT
cana-1632	185	26	.	.	PUNCT
cana-1632	186	1	pso	pso	NOUN
cana-1632	186	2	comes	come	VERB
cana-1632	186	3	next	next	ADV
cana-1632	186	4	,	,	PUNCT
cana-1632	186	5	with	with	ADP
cana-1632	186	6	a	a	DET
cana-1632	186	7	speed	speed	NOUN
cana-1632	186	8	of	of	ADP
cana-1632	186	9	70	70	NUM
cana-1632	186	10	%	%	NOUN
cana-1632	186	11	for	for	ADP
cana-1632	186	12	completion	completion	NOUN
cana-1632	186	13	and	and	CCONJ
cana-1632	186	14	75	75	NUM
cana-1632	186	15	%	%	NOUN
cana-1632	186	16	for	for	ADP
cana-1632	186	17	processing	processing	NOUN
cana-1632	186	18	.	.	PUNCT
cana-1632	187	1	aco	aco	PROPN
cana-1632	187	2	's	's	PART
cana-1632	187	3	performance	performance	NOUN
cana-1632	187	4	is	be	AUX
cana-1632	187	5	average	average	ADJ
cana-1632	187	6	;	;	PUNCT
cana-1632	187	7	it	it	PRON
cana-1632	187	8	got	get	VERB
cana-1632	187	9	a	a	DET
cana-1632	187	10	score	score	NOUN
cana-1632	187	11	of	of	ADP
cana-1632	187	12	65	65	NUM
cana-1632	187	13	%	%	NOUN
cana-1632	187	14	for	for	ADP
cana-1632	187	15	delivery	delivery	NOUN
cana-1632	187	16	speed	speed	NOUN
cana-1632	187	17	and	and	CCONJ
cana-1632	187	18	a	a	DET
cana-1632	187	19	score	score	NOUN
cana-1632	187	20	of	of	ADP
cana-1632	187	21	70	70	NUM
cana-1632	187	22	%	%	NOUN
cana-1632	187	23	for	for	ADP
cana-1632	187	24	processing	processing	NOUN
cana-1632	187	25	speed	speed	NOUN
cana-1632	187	26	.	.	PUNCT
cana-1632	188	1	low	low	ADJ
cana-1632	188	2	results	result	NOUN
cana-1632	188	3	for	for	ADP
cana-1632	188	4	milp	milp	NOUN
cana-1632	188	5	and	and	CCONJ
cana-1632	188	6	nlp	nlp	PROPN
cana-1632	188	7	.	.	PROPN
cana-1632	188	8	nlp	nlp	PROPN
cana-1632	188	9	has	have	VERB
cana-1632	188	10	a	a	DET
cana-1632	188	11	55	55	NUM
cana-1632	188	12	%	%	NOUN
cana-1632	188	13	execution	execution	NOUN
cana-1632	188	14	speed	speed	NOUN
cana-1632	188	15	and	and	CCONJ
cana-1632	188	16	a	a	DET
cana-1632	188	17	60	60	NUM
cana-1632	188	18	%	%	NOUN
cana-1632	188	19	processing	processing	NOUN
cana-1632	188	20	speed	speed	NOUN
cana-1632	188	21	,	,	PUNCT
cana-1632	188	22	and	and	CCONJ
cana-1632	188	23	milp	milp	PROPN
cana-1632	188	24	has	have	VERB
cana-1632	188	25	a	a	DET
cana-1632	188	26	60	60	NUM
cana-1632	188	27	%	%	NOUN
cana-1632	188	28	execution	execution	NOUN
cana-1632	188	29	speed	speed	NOUN
cana-1632	188	30	and	and	CCONJ
cana-1632	188	31	a	a	DET
cana-1632	188	32	60	60	NUM
cana-1632	188	33	%	%	NOUN
cana-1632	188	34	processing	processing	NOUN
cana-1632	188	35	speed	speed	NOUN
cana-1632	188	36	.	.	PUNCT
cana-1632	189	1	5	5	X
cana-1632	189	2	.	.	X
cana-1632	189	3	conclusion	conclusion	NOUN
cana-1632	189	4	when	when	SCONJ
cana-1632	189	5	it	it	PRON
cana-1632	189	6	comes	come	VERB
cana-1632	189	7	to	to	ADP
cana-1632	189	8	optimizing	optimize	VERB
cana-1632	189	9	the	the	DET
cana-1632	189	10	plan	plan	NOUN
cana-1632	189	11	of	of	ADP
cana-1632	189	12	an	an	DET
cana-1632	189	13	power	power	NOUN
cana-1632	189	14	organize	organize	NOUN
cana-1632	189	15	,	,	PUNCT
cana-1632	189	16	diverse	diverse	ADJ
cana-1632	189	17	strategies	strategy	NOUN
cana-1632	189	18	offer	offer	VERB
cana-1632	189	19	distinctive	distinctive	ADJ
cana-1632	189	20	benefits	benefit	NOUN
cana-1632	189	21	based	base	VERB
cana-1632	189	22	on	on	ADP
cana-1632	189	23	desires	desire	NOUN
cana-1632	189	24	of	of	ADP
cana-1632	189	25	the	the	DET
cana-1632	189	26	issue	issue	NOUN
cana-1632	189	27	.	.	PUNCT
cana-1632	190	1	the	the	DET
cana-1632	190	2	hereditary	hereditary	ADJ
cana-1632	190	3	algorithm	algorithm	NOUN
cana-1632	190	4	(	(	PUNCT
cana-1632	190	5	ga	ga	PROPN
cana-1632	190	6	)	)	PUNCT
cana-1632	190	7	stands	stand	VERB
cana-1632	190	8	out	out	ADP
cana-1632	190	9	as	as	ADP
cana-1632	190	10	an	an	DET
cana-1632	190	11	awfully	awfully	ADV
cana-1632	190	12	great	great	ADJ
cana-1632	190	13	strategy	strategy	NOUN
cana-1632	190	14	,	,	PUNCT
cana-1632	190	15	doing	do	VERB
cana-1632	190	16	superior	superior	ADJ
cana-1632	190	17	in	in	ADP
cana-1632	190	18	a	a	DET
cana-1632	190	19	number	number	NOUN
cana-1632	190	20	of	of	ADP
cana-1632	190	21	vital	vital	ADJ
cana-1632	190	22	tests	test	NOUN
cana-1632	190	23	.	.	PUNCT
cana-1632	191	1	it	it	PRON
cana-1632	191	2	does	do	VERB
cana-1632	191	3	a	a	DET
cana-1632	191	4	incredible	incredible	ADJ
cana-1632	191	5	work	work	NOUN
cana-1632	191	6	with	with	ADP
cana-1632	191	7	meeting	meeting	NOUN
cana-1632	191	8	rate	rate	NOUN
cana-1632	191	9	,	,	PUNCT
cana-1632	191	10	arrangement	arrangement	NOUN
cana-1632	191	11	quality	quality	NOUN
cana-1632	191	12	,	,	PUNCT
cana-1632	191	13	solidness	solidness	NOUN
cana-1632	191	14	,	,	PUNCT
cana-1632	191	15	scale	scale	NOUN
cana-1632	191	16	,	,	PUNCT
cana-1632	191	17	and	and	CCONJ
cana-1632	191	18	adaptability	adaptability	NOUN
cana-1632	191	19	,	,	PUNCT
cana-1632	191	20	which	which	PRON
cana-1632	191	21	makes	make	VERB
cana-1632	191	22	it	it	PRON
cana-1632	191	23	a	a	DET
cana-1632	191	24	adaptable	adaptable	ADJ
cana-1632	191	25	option	option	NOUN
cana-1632	191	26	for	for	ADP
cana-1632	191	27	dealing	deal	VERB
cana-1632	191	28	with	with	ADP
cana-1632	191	29	troublesome	troublesome	ADJ
cana-1632	191	30	and	and	CCONJ
cana-1632	191	31	nonlinear	nonlinear	ADJ
cana-1632	191	32	optimization	optimization	NOUN
cana-1632	191	33	issues	issue	NOUN
cana-1632	191	34	.	.	PUNCT
cana-1632	192	1	ga	ga	PROPN
cana-1632	192	2	may	may	AUX
cana-1632	192	3	be	be	AUX
cana-1632	192	4	a	a	DET
cana-1632	192	5	solid	solid	ADJ
cana-1632	192	6	competitor	competitor	NOUN
cana-1632	192	7	to	to	ADP
cana-1632	192	8	other	other	ADJ
cana-1632	192	9	calculations	calculation	NOUN
cana-1632	192	10	since	since	SCONJ
cana-1632	192	11	it	it	PRON
cana-1632	192	12	can	can	AUX
cana-1632	192	13	adjust	adjust	VERB
cana-1632	192	14	these	these	DET
cana-1632	192	15	variables	variable	NOUN
cana-1632	192	16	whereas	whereas	SCONJ
cana-1632	192	17	still	still	ADV
cana-1632	192	18	accomplishing	accomplish	VERB
cana-1632	192	19	quick	quick	ADJ
cana-1632	192	20	execution	execution	NOUN
cana-1632	192	21	and	and	CCONJ
cana-1632	192	22	handling	handling	NOUN
cana-1632	192	23	speeds	speed	NOUN
cana-1632	192	24	.	.	PUNCT
cana-1632	193	1	molecule	molecule	NOUN
cana-1632	193	2	swarm	swarm	NOUN
cana-1632	193	3	optimization	optimization	NOUN
cana-1632	193	4	(	(	PUNCT
cana-1632	193	5	pso	pso	NOUN
cana-1632	193	6	)	)	PUNCT
cana-1632	193	7	and	and	CCONJ
cana-1632	193	8	insect	insect	VERB
cana-1632	193	9	colony	colony	NOUN
cana-1632	193	10	optimization	optimization	NOUN
cana-1632	193	11	(	(	PUNCT
cana-1632	193	12	aco	aco	PROPN
cana-1632	193	13	)	)	PUNCT
cana-1632	193	14	are	be	AUX
cana-1632	193	15	communications	communication	NOUN
cana-1632	193	16	on	on	ADP
cana-1632	193	17	applied	apply	VERB
cana-1632	193	18	nonlinear	nonlinear	ADJ
cana-1632	193	19	analysis	analysis	NOUN
cana-1632	193	20	issn	issn	NOUN
cana-1632	193	21	:	:	PUNCT
cana-1632	193	22	1074	1074	NUM
cana-1632	193	23	-	-	PUNCT
cana-1632	193	24	133x	133x	NUM
cana-1632	193	25	vol	vol	NOUN
cana-1632	193	26	32	32	NUM
cana-1632	193	27	no	no	NOUN
cana-1632	193	28	.	.	NOUN
cana-1632	193	29	1	1	NUM
cana-1632	193	30	(	(	PUNCT
cana-1632	193	31	2025	2025	NUM
cana-1632	193	32	)	)	PUNCT
cana-1632	193	33	224	224	NUM
cana-1632	193	34	https://internationalpubls.com	https://internationalpubls.com	X
cana-1632	193	35	too	too	ADV
cana-1632	193	36	great	great	ADJ
cana-1632	193	37	alternatives	alternative	NOUN
cana-1632	193	38	,	,	PUNCT
cana-1632	193	39	particularly	particularly	ADV
cana-1632	193	40	when	when	SCONJ
cana-1632	193	41	it	it	PRON
cana-1632	193	42	comes	come	VERB
cana-1632	193	43	to	to	ADP
cana-1632	193	44	being	be	AUX
cana-1632	193	45	able	able	ADJ
cana-1632	193	46	to	to	PART
cana-1632	193	47	alter	alter	VERB
cana-1632	193	48	and	and	CCONJ
cana-1632	193	49	develop	develop	VERB
cana-1632	193	50	.	.	PUNCT
cana-1632	194	1	aco	aco	PROPN
cana-1632	194	2	has	have	VERB
cana-1632	194	3	normal	normal	ADJ
cana-1632	194	4	victory	victory	NOUN
cana-1632	194	5	over	over	ADP
cana-1632	194	6	the	the	DET
cana-1632	194	7	board	board	NOUN
cana-1632	194	8	,	,	PUNCT
cana-1632	194	9	whereas	whereas	SCONJ
cana-1632	194	10	pso	pso	NOUN
cana-1632	194	11	does	do	VERB
cana-1632	194	12	well	well	ADV
cana-1632	194	13	in	in	ADP
cana-1632	194	14	terms	term	NOUN
cana-1632	194	15	of	of	ADP
cana-1632	194	16	joining	join	VERB
cana-1632	194	17	and	and	CCONJ
cana-1632	194	18	adaptability	adaptability	NOUN
cana-1632	194	19	.	.	PUNCT
cana-1632	195	1	mixed	mix	VERB
cana-1632	195	2	-	-	PUNCT
cana-1632	195	3	integer	integer	NOUN
cana-1632	195	4	straight	straight	ADJ
cana-1632	195	5	programming	programming	NOUN
cana-1632	195	6	(	(	PUNCT
cana-1632	195	7	milp	milp	ADJ
cana-1632	195	8	)	)	PUNCT
cana-1632	195	9	and	and	CCONJ
cana-1632	195	10	nonlinear	nonlinear	ADJ
cana-1632	195	11	programming	programming	NOUN
cana-1632	195	12	(	(	PUNCT
cana-1632	195	13	nlp	nlp	NOUN
cana-1632	195	14	)	)	PUNCT
cana-1632	195	15	are	be	AUX
cana-1632	195	16	both	both	ADV
cana-1632	195	17	great	great	ADJ
cana-1632	195	18	at	at	ADP
cana-1632	195	19	finding	find	VERB
cana-1632	195	20	great	great	ADJ
cana-1632	195	21	solutions	solution	NOUN
cana-1632	195	22	that	that	PRON
cana-1632	195	23	do	do	AUX
cana-1632	195	24	not	not	PART
cana-1632	195	25	break	break	VERB
cana-1632	195	26	effortlessly	effortlessly	ADV
cana-1632	195	27	.	.	PUNCT
cana-1632	196	1	be	be	AUX
cana-1632	196	2	that	that	SCONJ
cana-1632	196	3	as	as	SCONJ
cana-1632	196	4	it	it	PRON
cana-1632	196	5	may	may	AUX
cana-1632	196	6	,	,	PUNCT
cana-1632	196	7	they	they	PRON
cana-1632	196	8	are	be	AUX
cana-1632	196	9	n't	not	PART
cana-1632	196	10	exceptionally	exceptionally	ADV
cana-1632	196	11	great	great	ADJ
cana-1632	196	12	at	at	ADP
cana-1632	196	13	scaling	scale	VERB
cana-1632	196	14	up	up	ADP
cana-1632	196	15	or	or	CCONJ
cana-1632	196	16	utilizing	utilize	VERB
cana-1632	196	17	computers	computer	NOUN
cana-1632	196	18	effectively	effectively	ADV
cana-1632	196	19	.	.	PUNCT
cana-1632	197	1	within	within	ADP
cana-1632	197	2	the	the	DET
cana-1632	197	3	conclusion	conclusion	NOUN
cana-1632	197	4	,	,	PUNCT
cana-1632	197	5	the	the	DET
cana-1632	197	6	issue	issue	NOUN
cana-1632	197	7	characteristics	characteristic	NOUN
cana-1632	197	8	,	,	PUNCT
cana-1632	197	9	such	such	ADJ
cana-1632	197	10	as	as	ADP
cana-1632	197	11	how	how	SCONJ
cana-1632	197	12	complicated	complicated	ADJ
cana-1632	197	13	the	the	DET
cana-1632	197	14	organize	organize	NOUN
cana-1632	197	15	plan	plan	NOUN
cana-1632	197	16	is	be	AUX
cana-1632	197	17	and	and	CCONJ
cana-1632	197	18	how	how	SCONJ
cana-1632	197	19	critical	critical	ADJ
cana-1632	197	20	distinctive	distinctive	ADJ
cana-1632	197	21	execution	execution	NOUN
cana-1632	197	22	measures	measure	NOUN
cana-1632	197	23	are	be	AUX
cana-1632	197	24	,	,	PUNCT
cana-1632	197	25	decide	decide	VERB
cana-1632	197	26	which	which	DET
cana-1632	197	27	strategy	strategy	NOUN
cana-1632	197	28	to	to	PART
cana-1632	197	29	utilize	utilize	VERB
cana-1632	197	30	.	.	PUNCT
cana-1632	198	1	ga	ga	PROPN
cana-1632	198	2	has	have	VERB
cana-1632	198	3	many	many	ADJ
cana-1632	198	4	strengths	strength	NOUN
cana-1632	198	5	that	that	PRON
cana-1632	198	6	make	make	VERB
cana-1632	198	7	it	it	PRON
cana-1632	198	8	a	a	DET
cana-1632	198	9	useful	useful	ADJ
cana-1632	198	10	tool	tool	NOUN
cana-1632	198	11	in	in	ADP
cana-1632	198	12	many	many	ADJ
cana-1632	198	13	situations	situation	NOUN
cana-1632	198	14	,	,	PUNCT
cana-1632	198	15	especially	especially	ADV
cana-1632	198	16	when	when	SCONJ
cana-1632	198	17	stability	stability	NOUN
cana-1632	198	18	and	and	CCONJ
cana-1632	198	19	multi	multi	ADJ
cana-1632	198	20	-	-	ADJ
cana-1632	198	21	objective	objective	ADJ
cana-1632	198	22	optimization	optimization	NOUN
cana-1632	198	23	are	be	AUX
cana-1632	198	24	important	important	ADJ
cana-1632	198	25	.	.	PUNCT
cana-1632	199	1	but	but	CCONJ
cana-1632	199	2	when	when	SCONJ
cana-1632	199	3	exact	exact	ADJ
cana-1632	199	4	answers	answer	NOUN
cana-1632	199	5	are	be	AUX
cana-1632	199	6	needed	need	VERB
cana-1632	199	7	,	,	PUNCT
cana-1632	199	8	milp	milp	PROPN
cana-1632	199	9	might	might	AUX
cana-1632	199	10	be	be	AUX
cana-1632	199	11	better	well	ADJ
cana-1632	199	12	,	,	PUNCT
cana-1632	199	13	even	even	ADV
cana-1632	199	14	though	though	SCONJ
cana-1632	199	15	it	it	PRON
cana-1632	199	16	ca	can	AUX
cana-1632	199	17	n't	not	PART
cana-1632	199	18	be	be	AUX
cana-1632	199	19	used	use	VERB
cana-1632	199	20	on	on	ADP
cana-1632	199	21	a	a	DET
cana-1632	199	22	larger	large	ADJ
cana-1632	199	23	scale	scale	NOUN
cana-1632	199	24	.	.	PUNCT
cana-1632	200	1	nlp	nlp	NOUN
cana-1632	200	2	might	might	AUX
cana-1632	200	3	work	work	VERB
cana-1632	200	4	better	well	ADV
cana-1632	200	5	for	for	ADP
cana-1632	200	6	problems	problem	NOUN
cana-1632	200	7	that	that	PRON
cana-1632	200	8	do	do	AUX
cana-1632	200	9	n't	not	PART
cana-1632	200	10	follow	follow	VERB
cana-1632	200	11	a	a	DET
cana-1632	200	12	straight	straight	ADJ
cana-1632	200	13	line	line	NOUN
cana-1632	200	14	.	.	PUNCT
cana-1632	201	1	the	the	DET
cana-1632	201	2	pros	pro	NOUN
cana-1632	201	3	and	and	CCONJ
cana-1632	201	4	cons	con	NOUN
cana-1632	201	5	of	of	ADP
cana-1632	201	6	each	each	DET
cana-1632	201	7	method	method	NOUN
cana-1632	201	8	should	should	AUX
cana-1632	201	9	be	be	AUX
cana-1632	201	10	carefully	carefully	ADV
cana-1632	201	11	thought	think	VERB
cana-1632	201	12	through	through	ADP
cana-1632	201	13	to	to	PART
cana-1632	201	14	make	make	VERB
cana-1632	201	15	sure	sure	ADJ
cana-1632	201	16	they	they	PRON
cana-1632	201	17	fit	fit	VERB
cana-1632	201	18	the	the	DET
cana-1632	201	19	goals	goal	NOUN
cana-1632	201	20	and	and	CCONJ
cana-1632	201	21	limits	limit	NOUN
cana-1632	201	22	of	of	ADP
cana-1632	201	23	the	the	DET
cana-1632	201	24	electrical	electrical	ADJ
cana-1632	201	25	network	network	NOUN
cana-1632	201	26	design	design	NOUN
cana-1632	201	27	problem	problem	NOUN
cana-1632	201	28	.	.	PUNCT
cana-1632	202	1	references	reference	NOUN
cana-1632	202	2	[	[	X
cana-1632	202	3	1	1	NUM
cana-1632	202	4	]	]	X
cana-1632	202	5	y.	y.	PROPN
cana-1632	202	6	gao	gao	PROPN
cana-1632	202	7	,	,	PUNCT
cana-1632	202	8	t.	t.	PROPN
cana-1632	202	9	yang	yang	PROPN
cana-1632	202	10	,	,	PUNCT
cana-1632	202	11	s.	s.	PROPN
cana-1632	202	12	bozhko	bozhko	PROPN
cana-1632	202	13	,	,	PUNCT
cana-1632	202	14	p.	p.	NOUN
cana-1632	202	15	wheeler	wheeler	NOUN
cana-1632	202	16	and	and	CCONJ
cana-1632	202	17	t.	t.	PROPN
cana-1632	202	18	dragičević	dragičević	PROPN
cana-1632	202	19	,	,	PUNCT
cana-1632	202	20	"	"	PUNCT
cana-1632	202	21	filter	filter	NOUN
cana-1632	202	22	design	design	NOUN
cana-1632	202	23	and	and	CCONJ
cana-1632	202	24	optimization	optimization	NOUN
cana-1632	202	25	of	of	ADP
cana-1632	202	26	electromechanical	electromechanical	ADJ
cana-1632	202	27	actuation	actuation	NOUN
cana-1632	202	28	systems	system	NOUN
cana-1632	202	29	using	use	VERB
cana-1632	202	30	search	search	NOUN
cana-1632	202	31	and	and	CCONJ
cana-1632	202	32	surrogate	surrogate	ADJ
cana-1632	202	33	algorithms	algorithm	NOUN
cana-1632	202	34	for	for	ADP
cana-1632	202	35	more	more	ADV
cana-1632	202	36	-	-	PUNCT
cana-1632	202	37	electric	electric	ADJ
cana-1632	202	38	aircraft	aircraft	NOUN
cana-1632	202	39	applications	application	NOUN
cana-1632	202	40	,	,	PUNCT
cana-1632	202	41	"	"	PUNCT
cana-1632	202	42	in	in	ADP
cana-1632	202	43	ieee	ieee	NOUN
cana-1632	202	44	transactions	transaction	NOUN
cana-1632	202	45	on	on	ADP
cana-1632	202	46	transportation	transportation	NOUN
cana-1632	202	47	electrification	electrification	NOUN
cana-1632	202	48	,	,	PUNCT
cana-1632	202	49	vol	vol	NOUN
cana-1632	202	50	.	.	PROPN
cana-1632	202	51	6	6	NUM
cana-1632	202	52	,	,	PUNCT
cana-1632	202	53	no	no	INTJ
cana-1632	202	54	.	.	NOUN
cana-1632	202	55	4	4	NUM
cana-1632	202	56	,	,	PUNCT
cana-1632	202	57	pp	pp	ADJ
cana-1632	202	58	.	.	PUNCT
cana-1632	203	1	1434	1434	NUM
cana-1632	203	2	-	-	SYM
cana-1632	203	3	1447	1447	NUM
cana-1632	203	4	[	[	X
cana-1632	203	5	2	2	NUM
cana-1632	203	6	]	]	PUNCT
cana-1632	203	7	z.	z.	PROPN
cana-1632	203	8	jiao	jiao	PROPN
cana-1632	203	9	et	et	PROPN
cana-1632	203	10	al	al	PROPN
cana-1632	203	11	.	.	PROPN
cana-1632	203	12	,	,	PUNCT
cana-1632	203	13	"	"	PUNCT
cana-1632	203	14	an	an	DET
cana-1632	203	15	intelligent	intelligent	ADJ
cana-1632	203	16	design	design	NOUN
cana-1632	203	17	method	method	NOUN
cana-1632	203	18	for	for	ADP
cana-1632	203	19	actuation	actuation	NOUN
cana-1632	203	20	system	system	NOUN
cana-1632	203	21	architecture	architecture	NOUN
cana-1632	203	22	optimization	optimization	NOUN
cana-1632	203	23	for	for	ADP
cana-1632	203	24	more	more	ADJ
cana-1632	203	25	electrical	electrical	ADJ
cana-1632	203	26	aircraft	aircraft	NOUN
cana-1632	203	27	"	"	PUNCT
cana-1632	203	28	,	,	PUNCT
cana-1632	203	29	aerosp	aerosp	PROPN
cana-1632	203	30	.	.	PUNCT
cana-1632	204	1	sci	sci	PROPN
cana-1632	204	2	.	.	PROPN
cana-1632	204	3	technol	technol	PROPN
cana-1632	204	4	.	.	PROPN
cana-1632	204	5	,	,	PUNCT
cana-1632	204	6	vol	vol	NOUN
cana-1632	204	7	.	.	PROPN
cana-1632	204	8	93	93	NUM
cana-1632	204	9	,	,	PUNCT
cana-1632	204	10	oct	oct	PROPN
cana-1632	204	11	.	.	PROPN
cana-1632	204	12	2019	2019	NUM
cana-1632	204	13	.	.	PUNCT
cana-1632	205	1	[	[	X
cana-1632	205	2	3	3	X
cana-1632	205	3	]	]	X
cana-1632	205	4	b.	b.	PROPN
cana-1632	205	5	cheong	cheong	PROPN
cana-1632	205	6	,	,	PUNCT
cana-1632	205	7	"	"	PUNCT
cana-1632	205	8	advanced	advanced	ADJ
cana-1632	205	9	modelling	modelling	NOUN
cana-1632	205	10	and	and	CCONJ
cana-1632	205	11	evolutionary	evolutionary	ADJ
cana-1632	205	12	multiobjective	multiobjective	ADJ
cana-1632	205	13	optimization	optimization	NOUN
cana-1632	205	14	of	of	ADP
cana-1632	205	15	motor	motor	NOUN
cana-1632	205	16	drive	drive	NOUN
cana-1632	205	17	for	for	ADP
cana-1632	205	18	aerospace	aerospace	NOUN
cana-1632	205	19	applications	application	NOUN
cana-1632	205	20	"	"	PUNCT
cana-1632	205	21	,	,	PUNCT
cana-1632	205	22	2019	2019	NUM
cana-1632	205	23	.	.	PUNCT
cana-1632	206	1	[	[	X
cana-1632	206	2	4	4	X
cana-1632	206	3	]	]	X
cana-1632	206	4	m.	m.	NOUN
cana-1632	206	5	jafari	jafari	PROPN
cana-1632	206	6	,	,	PUNCT
cana-1632	206	7	l.	l.	PROPN
cana-1632	206	8	e.	e.	PROPN
cana-1632	206	9	brown	brown	PROPN
cana-1632	206	10	and	and	CCONJ
cana-1632	206	11	l.	l.	PROPN
cana-1632	206	12	gauchia	gauchia	PROPN
cana-1632	206	13	,	,	PUNCT
cana-1632	206	14	"	"	PUNCT
cana-1632	206	15	hierarchical	hierarchical	ADJ
cana-1632	206	16	bayesian	bayesian	NOUN
cana-1632	206	17	model	model	NOUN
cana-1632	206	18	for	for	ADP
cana-1632	206	19	probabilistic	probabilistic	ADJ
cana-1632	206	20	analysis	analysis	NOUN
cana-1632	206	21	of	of	ADP
cana-1632	206	22	electric	electric	ADJ
cana-1632	206	23	vehicle	vehicle	NOUN
cana-1632	206	24	battery	battery	NOUN
cana-1632	206	25	degradation	degradation	NOUN
cana-1632	206	26	"	"	PUNCT
cana-1632	206	27	,	,	PUNCT
cana-1632	206	28	ieee	ieee	PROPN
cana-1632	206	29	trans	trans	PROPN
cana-1632	206	30	.	.	PUNCT
cana-1632	207	1	transport	transport	NOUN
cana-1632	207	2	.	.	PUNCT
cana-1632	208	1	electrific	electrific	PROPN
cana-1632	208	2	.	.	PUNCT
cana-1632	208	3	,	,	PUNCT
cana-1632	208	4	vol	vol	NOUN
cana-1632	208	5	.	.	PROPN
cana-1632	208	6	5	5	NUM
cana-1632	208	7	,	,	PUNCT
cana-1632	208	8	no	no	INTJ
cana-1632	208	9	.	.	NOUN
cana-1632	208	10	4	4	NUM
cana-1632	208	11	,	,	PUNCT
cana-1632	208	12	pp	pp	ADJ
cana-1632	208	13	.	.	PUNCT
cana-1632	209	1	1254	1254	NUM
cana-1632	209	2	-	-	SYM
cana-1632	209	3	1267	1267	NUM
cana-1632	209	4	,	,	PUNCT
cana-1632	209	5	dec	dec	PROPN
cana-1632	209	6	.	.	PROPN
cana-1632	209	7	2019	2019	NUM
cana-1632	209	8	.	.	PUNCT
cana-1632	210	1	[	[	X
cana-1632	210	2	5	5	X
cana-1632	210	3	]	]	PUNCT
cana-1632	210	4	s.	s.	PROPN
cana-1632	210	5	luo	luo	PROPN
cana-1632	210	6	,	,	PUNCT
cana-1632	210	7	w.	w.	PROPN
cana-1632	210	8	liu	liu	PROPN
cana-1632	210	9	,	,	PUNCT
cana-1632	210	10	a.	a.	PROPN
cana-1632	210	11	tan	tan	PROPN
cana-1632	210	12	,	,	PUNCT
cana-1632	210	13	h.	h.	PROPN
cana-1632	210	14	ye	ye	PROPN
cana-1632	210	15	and	and	CCONJ
cana-1632	210	16	y.	y.	PROPN
cana-1632	210	17	wang	wang	PROPN
cana-1632	210	18	,	,	PUNCT
cana-1632	210	19	"	"	PUNCT
cana-1632	210	20	design	design	NOUN
cana-1632	210	21	and	and	CCONJ
cana-1632	210	22	optimization	optimization	NOUN
cana-1632	210	23	of	of	ADP
cana-1632	210	24	efficient	efficient	ADJ
cana-1632	210	25	mesh	mesh	NOUN
cana-1632	210	26	networking	network	VERB
cana-1632	210	27	algorithm	algorithm	NOUN
cana-1632	210	28	in	in	ADP
cana-1632	210	29	wireless	wireless	ADJ
cana-1632	210	30	communication	communication	NOUN
cana-1632	210	31	of	of	ADP
cana-1632	210	32	power	power	NOUN
cana-1632	210	33	supply	supply	NOUN
cana-1632	210	34	station	station	NOUN
cana-1632	210	35	area	area	NOUN
cana-1632	210	36	,	,	PUNCT
cana-1632	210	37	"	"	PUNCT
cana-1632	210	38	2024	2024	NUM
cana-1632	210	39	ieee	ieee	NOUN
cana-1632	210	40	3rd	3rd	PROPN
cana-1632	210	41	international	international	ADJ
cana-1632	210	42	conference	conference	NOUN
cana-1632	210	43	on	on	ADP
cana-1632	210	44	electrical	electrical	ADJ
cana-1632	210	45	engineering	engineering	NOUN
cana-1632	210	46	,	,	PUNCT
cana-1632	210	47	big	big	ADJ
cana-1632	210	48	data	datum	NOUN
cana-1632	210	49	and	and	CCONJ
cana-1632	210	50	algorithms	algorithm	NOUN
cana-1632	210	51	(	(	PUNCT
cana-1632	210	52	eebda	eebda	ADJ
cana-1632	210	53	)	)	PUNCT
cana-1632	210	54	,	,	PUNCT
cana-1632	210	55	changchun	changchun	PROPN
cana-1632	210	56	,	,	PUNCT
cana-1632	210	57	china	china	PROPN
cana-1632	210	58	,	,	PUNCT
cana-1632	210	59	2024	2024	NUM
cana-1632	210	60	,	,	PUNCT
cana-1632	210	61	pp	pp	ADV
cana-1632	210	62	.	.	PUNCT
cana-1632	210	63	1691	1691	NUM
cana-1632	210	64	-	-	SYM
cana-1632	210	65	1696	1696	NUM
cana-1632	210	66	[	[	X
cana-1632	210	67	6	6	NUM
cana-1632	210	68	]	]	X
cana-1632	210	69	zhao	zhao	PROPN
cana-1632	210	70	guoqiang	guoqiang	PROPN
cana-1632	210	71	,	,	PUNCT
cana-1632	210	72	liu	liu	PROPN
cana-1632	210	73	yiwei	yiwei	PROPN
cana-1632	210	74	and	and	CCONJ
cana-1632	210	75	sun	sun	PROPN
cana-1632	210	76	bolun	bolun	NOUN
cana-1632	210	77	,	,	PUNCT
cana-1632	210	78	"	"	PUNCT
cana-1632	210	79	air	air	NOUN
cana-1632	210	80	interface	interface	NOUN
cana-1632	210	81	collision	collision	NOUN
cana-1632	210	82	algorithm	algorithm	NOUN
cana-1632	210	83	for	for	ADP
cana-1632	210	84	one	one	NUM
cana-1632	210	85	-	-	PUNCT
cana-1632	210	86	hop	hop	NOUN
cana-1632	210	87	nodes	node	NOUN
cana-1632	210	88	in	in	ADP
cana-1632	210	89	heavy	heavy	ADJ
cana-1632	210	90	-	-	PUNCT
cana-1632	210	91	haul	haul	NOUN
cana-1632	210	92	railway	railway	NOUN
cana-1632	210	93	mesh	mesh	NOUN
cana-1632	210	94	ad	ad	X
cana-1632	210	95	hoc	hoc	X
cana-1632	210	96	network	network	NOUN
cana-1632	210	97	"	"	PUNCT
cana-1632	210	98	,	,	PUNCT
cana-1632	210	99	railway	railway	NOUN
cana-1632	210	100	communication	communication	NOUN
cana-1632	210	101	signal	signal	NOUN
cana-1632	210	102	engineering	engineering	NOUN
cana-1632	210	103	technology	technology	NOUN
cana-1632	210	104	,	,	PUNCT
cana-1632	210	105	vol	vol	NOUN
cana-1632	210	106	.	.	PROPN
cana-1632	210	107	19	19	NUM
cana-1632	210	108	,	,	PUNCT
cana-1632	210	109	no	no	INTJ
cana-1632	210	110	.	.	NOUN
cana-1632	210	111	2	2	NUM
cana-1632	210	112	,	,	PUNCT
cana-1632	210	113	pp	pp	ADJ
cana-1632	210	114	.	.	PUNCT
cana-1632	210	115	5154	5154	NUM
cana-1632	210	116	,	,	PUNCT
cana-1632	210	117	2022	2022	NUM
cana-1632	210	118	.	.	PUNCT
cana-1632	211	1	[	[	X
cana-1632	211	2	7	7	X
cana-1632	211	3	]	]	X
cana-1632	211	4	liu	liu	PROPN
cana-1632	211	5	xueqin	xueqin	PROPN
cana-1632	211	6	,	,	PUNCT
cana-1632	211	7	zhu	zhu	PROPN
cana-1632	211	8	ying	ying	PROPN
cana-1632	211	9	,	,	PUNCT
cana-1632	211	10	zhang	zhang	PROPN
cana-1632	211	11	jianyun	jianyun	PROPN
cana-1632	211	12	et	et	PROPN
cana-1632	211	13	al	al	PROPN
cana-1632	211	14	.	.	PROPN
cana-1632	211	15	,	,	PUNCT
cana-1632	211	16	"	"	PUNCT
cana-1632	211	17	design	design	NOUN
cana-1632	211	18	of	of	ADP
cana-1632	211	19	smart	smart	ADJ
cana-1632	211	20	street	street	NOUN
cana-1632	211	21	lamp	lamp	NOUN
cana-1632	211	22	system	system	NOUN
cana-1632	211	23	based	base	VERB
cana-1632	211	24	on	on	ADP
cana-1632	211	25	zigbee	zigbee	PROPN
cana-1632	211	26	ad	ad	X
cana-1632	211	27	hoc	hoc	X
cana-1632	211	28	mesh	mesh	NOUN
cana-1632	211	29	network	network	NOUN
cana-1632	211	30	[	[	X
cana-1632	211	31	j	j	X
cana-1632	211	32	]	]	X
cana-1632	211	33	"	"	PUNCT
cana-1632	211	34	,	,	PUNCT
cana-1632	211	35	modern	modern	ADJ
cana-1632	211	36	electronic	electronic	ADJ
cana-1632	211	37	technology	technology	NOUN
cana-1632	211	38	,	,	PUNCT
cana-1632	211	39	vol	vol	NOUN
cana-1632	211	40	.	.	PROPN
cana-1632	211	41	46	46	NUM
cana-1632	211	42	,	,	PUNCT
cana-1632	211	43	no	no	INTJ
cana-1632	211	44	.	.	NOUN
cana-1632	211	45	13	13	NUM
cana-1632	211	46	,	,	PUNCT
cana-1632	211	47	pp	pp	ADJ
cana-1632	211	48	.	.	PUNCT
cana-1632	212	1	19	19	NUM
cana-1632	212	2	-	-	SYM
cana-1632	212	3	24	24	NUM
cana-1632	212	4	,	,	PUNCT
cana-1632	212	5	2023	2023	NUM
cana-1632	212	6	.	.	PUNCT
cana-1632	213	1	[	[	X
cana-1632	213	2	8	8	NUM
cana-1632	213	3	]	]	PUNCT
cana-1632	213	4	tang	tang	X
cana-1632	213	5	xiaozhou	xiaozhou	PROPN
cana-1632	213	6	,	,	PUNCT
cana-1632	213	7	zhai	zhai	PROPN
cana-1632	213	8	jianhua	jianhua	PROPN
cana-1632	213	9	,	,	PUNCT
cana-1632	213	10	wang	wang	PROPN
cana-1632	213	11	jianfeng	jianfeng	PROPN
cana-1632	213	12	et	et	PROPN
cana-1632	213	13	al	al	PROPN
cana-1632	213	14	.	.	PROPN
cana-1632	213	15	,	,	PUNCT
cana-1632	213	16	"	"	PUNCT
cana-1632	213	17	bluetooth	bluetooth	PROPN
cana-1632	213	18	5.0	5.0	NUM
cana-1632	213	19	mesh	mesh	NOUN
cana-1632	213	20	networking	network	VERB
cana-1632	213	21	technology	technology	NOUN
cana-1632	213	22	and	and	CCONJ
cana-1632	213	23	its	its	PRON
cana-1632	213	24	application	application	NOUN
cana-1632	213	25	in	in	ADP
cana-1632	213	26	photovoltaic	photovoltaic	NOUN
cana-1632	213	27	power	power	NOUN
cana-1632	213	28	plants	plant	NOUN
cana-1632	213	29	"	"	PUNCT
cana-1632	213	30	,	,	PUNCT
cana-1632	213	31	power	power	NOUN
cana-1632	213	32	engineering	engineering	NOUN
cana-1632	213	33	technology	technology	NOUN
cana-1632	213	34	,	,	PUNCT
cana-1632	213	35	vol	vol	NOUN
cana-1632	213	36	.	.	PROPN
cana-1632	213	37	38	38	NUM
cana-1632	213	38	,	,	PUNCT
cana-1632	213	39	no	no	INTJ
cana-1632	213	40	.	.	NOUN
cana-1632	213	41	6	6	NUM
cana-1632	213	42	,	,	PUNCT
cana-1632	213	43	pp	pp	ADJ
cana-1632	213	44	.	.	PUNCT
cana-1632	214	1	31	31	NUM
cana-1632	214	2	-	-	SYM
cana-1632	214	3	36	36	NUM
cana-1632	214	4	,	,	PUNCT
cana-1632	214	5	2019	2019	NUM
cana-1632	214	6	.	.	PUNCT
cana-1632	215	1	[	[	X
cana-1632	215	2	9	9	NUM
cana-1632	215	3	]	]	X
cana-1632	215	4	zhang	zhang	PROPN
cana-1632	215	5	yi	yi	PROPN
cana-1632	215	6	and	and	CCONJ
cana-1632	215	7	li	li	PROPN
cana-1632	215	8	jing	jing	PROPN
cana-1632	215	9	,	,	PUNCT
cana-1632	215	10	"	"	PUNCT
cana-1632	215	11	research	research	NOUN
cana-1632	215	12	on	on	ADP
cana-1632	215	13	routing	route	VERB
cana-1632	215	14	protocol	protocol	NOUN
cana-1632	215	15	for	for	ADP
cana-1632	215	16	ble	ble	ADJ
cana-1632	215	17	mesh	mesh	NOUN
cana-1632	215	18	energy	energy	NOUN
cana-1632	215	19	optimization	optimization	NOUN
cana-1632	215	20	[	[	X
cana-1632	215	21	j	j	X
cana-1632	215	22	]	]	X
cana-1632	215	23	"	"	PUNCT
cana-1632	215	24	,	,	PUNCT
cana-1632	215	25	microelectronics	microelectronic	NOUN
cana-1632	215	26	and	and	CCONJ
cana-1632	215	27	computer	computer	NOUN
cana-1632	215	28	,	,	PUNCT
cana-1632	215	29	vol	vol	NOUN
cana-1632	215	30	.	.	PROPN
cana-1632	215	31	40	40	NUM
cana-1632	215	32	,	,	PUNCT
cana-1632	215	33	no	no	INTJ
cana-1632	215	34	.	.	NOUN
cana-1632	215	35	10	10	NUM
cana-1632	215	36	,	,	PUNCT
cana-1632	215	37	pp	pp	ADJ
cana-1632	215	38	.	.	PUNCT
cana-1632	216	1	56	56	NUM
cana-1632	216	2	-	-	SYM
cana-1632	216	3	63	63	NUM
cana-1632	216	4	,	,	PUNCT
cana-1632	216	5	2023	2023	NUM
cana-1632	216	6	.	.	PUNCT
cana-1632	217	1	[	[	X
cana-1632	217	2	10	10	NUM
cana-1632	217	3	]	]	X
cana-1632	217	4	ma	ma	PROPN
cana-1632	217	5	yitong	yitong	PROPN
cana-1632	217	6	,	,	PUNCT
cana-1632	217	7	yan	yan	PROPN
cana-1632	217	8	wenmin	wenmin	PROPN
cana-1632	217	9	and	and	CCONJ
cana-1632	217	10	zhai	zhai	PROPN
cana-1632	217	11	qinghui	qinghui	PROPN
cana-1632	217	12	,	,	PUNCT
cana-1632	217	13	"	"	PUNCT
cana-1632	217	14	temperature	temperature	NOUN
cana-1632	217	15	measurement	measurement	NOUN
cana-1632	217	16	method	method	NOUN
cana-1632	217	17	of	of	ADP
cana-1632	217	18	inertial	inertial	ADJ
cana-1632	217	19	system	system	NOUN
cana-1632	217	20	based	base	VERB
cana-1632	217	21	on	on	ADP
cana-1632	217	22	bluetooth	bluetooth	PROPN
cana-1632	217	23	mesh	mesh	PROPN
cana-1632	217	24	networking	networking	NOUN
cana-1632	217	25	"	"	PUNCT
cana-1632	217	26	,	,	PUNCT
cana-1632	217	27	navigation	navigation	NOUN
cana-1632	217	28	and	and	CCONJ
cana-1632	217	29	control	control	NOUN
cana-1632	217	30	,	,	PUNCT
cana-1632	217	31	vol	vol	NOUN
cana-1632	217	32	.	.	PROPN
cana-1632	217	33	20	20	NUM
cana-1632	217	34	,	,	PUNCT
cana-1632	217	35	no	no	INTJ
cana-1632	217	36	.	.	NOUN
cana-1632	217	37	1	1	NUM
cana-1632	217	38	,	,	PUNCT
cana-1632	217	39	pp	pp	ADJ
cana-1632	217	40	.	.	PUNCT
cana-1632	218	1	109	109	NUM
cana-1632	218	2	-	-	SYM
cana-1632	218	3	116	116	NUM
cana-1632	218	4	,	,	PUNCT
cana-1632	218	5	2021	2021	NUM
cana-1632	218	6	.	.	PUNCT
cana-1632	219	1	[	[	X
cana-1632	219	2	11	11	NUM
cana-1632	219	3	]	]	X
cana-1632	219	4	zhang	zhang	PROPN
cana-1632	219	5	xuping	xuping	PROPN
cana-1632	219	6	and	and	CCONJ
cana-1632	219	7	xia	xia	PROPN
cana-1632	219	8	jingming	jingming	PROPN
cana-1632	219	9	,	,	PUNCT
cana-1632	219	10	"	"	PUNCT
cana-1632	219	11	selection	selection	NOUN
cana-1632	219	12	algorithm	algorithm	NOUN
cana-1632	219	13	of	of	ADP
cana-1632	219	14	forwarding	forward	VERB
cana-1632	219	15	nodes	node	NOUN
cana-1632	219	16	in	in	ADP
cana-1632	219	17	wireless	wireless	ADJ
cana-1632	219	18	mesh	mesh	NOUN
cana-1632	219	19	networks	network	NOUN
cana-1632	220	1	[	[	X
cana-1632	220	2	j	j	X
cana-1632	220	3	]	]	X
cana-1632	220	4	"	"	PUNCT
cana-1632	220	5	,	,	PUNCT
cana-1632	220	6	modern	modern	ADJ
cana-1632	220	7	electronic	electronic	ADJ
cana-1632	220	8	technology	technology	NOUN
cana-1632	220	9	,	,	PUNCT
cana-1632	220	10	vol	vol	NOUN
cana-1632	220	11	.	.	PROPN
cana-1632	221	1	42	42	NUM
cana-1632	221	2	,	,	PUNCT
cana-1632	221	3	no	no	INTJ
cana-1632	221	4	.	.	NOUN
cana-1632	221	5	13	13	NUM
cana-1632	221	6	,	,	PUNCT
cana-1632	221	7	pp	pp	ADJ
cana-1632	221	8	.	.	PUNCT
cana-1632	222	1	23	23	NUM
cana-1632	222	2	-	-	SYM
cana-1632	222	3	27	27	NUM
cana-1632	222	4	,	,	PUNCT
cana-1632	222	5	2019	2019	NUM
cana-1632	222	6	.	.	PUNCT
cana-1632	223	1	[	[	X
cana-1632	223	2	12	12	NUM
cana-1632	223	3	]	]	X
cana-1632	223	4	m	m	VERB
cana-1632	223	5	a	a	DET
cana-1632	223	6	al	al	PROPN
cana-1632	223	7	-	-	PUNCT
cana-1632	223	8	jarrah	jarrah	NOUN
cana-1632	223	9	,	,	PUNCT
cana-1632	223	10	e	e	PROPN
cana-1632	223	11	alsusa	alsusa	PROPN
cana-1632	223	12	,	,	PUNCT
cana-1632	223	13	a	a	DET
cana-1632	223	14	al	al	PROPN
cana-1632	223	15	-	-	PUNCT
cana-1632	223	16	dweik	dweik	NOUN
cana-1632	223	17	et	et	PROPN
cana-1632	223	18	al	al	PROPN
cana-1632	223	19	.	.	PROPN
cana-1632	223	20	,	,	PUNCT
cana-1632	223	21	"	"	PUNCT
cana-1632	223	22	performance	performance	NOUN
cana-1632	223	23	analysis	analysis	NOUN
cana-1632	223	24	of	of	ADP
cana-1632	223	25	wireless	wireless	ADJ
cana-1632	223	26	mesh	mesh	NOUN
cana-1632	223	27	backhauling	backhaule	VERB
cana-1632	223	28	using	use	VERB
cana-1632	223	29	intelligent	intelligent	ADJ
cana-1632	223	30	reflecting	reflect	VERB
cana-1632	223	31	surfaces	surface	NOUN
cana-1632	223	32	"	"	PUNCT
cana-1632	223	33	,	,	PUNCT
cana-1632	223	34	ieee	ieee	NOUN
cana-1632	223	35	transactions	transaction	NOUN
cana-1632	223	36	on	on	ADP
cana-1632	223	37	wireless	wireless	ADJ
cana-1632	223	38	communications	communication	NOUN
cana-1632	223	39	,	,	PUNCT
cana-1632	223	40	vol	vol	NOUN
cana-1632	223	41	.	.	PROPN
cana-1632	223	42	20	20	NUM
cana-1632	223	43	,	,	PUNCT
cana-1632	223	44	no	no	INTJ
cana-1632	223	45	.	.	NOUN
cana-1632	223	46	6	6	NUM
cana-1632	223	47	,	,	PUNCT
cana-1632	223	48	pp	pp	ADJ
cana-1632	223	49	.	.	PUNCT
cana-1632	224	1	3597	3597	NUM
cana-1632	224	2	-	-	SYM
cana-1632	224	3	3610	3610	NUM
cana-1632	224	4	,	,	PUNCT
cana-1632	224	5	2021	2021	NUM
cana-1632	224	6	.	.	PUNCT
cana-1632	225	1	[	[	X
cana-1632	225	2	13	13	NUM
cana-1632	225	3	]	]	PUNCT
cana-1632	225	4	a	a	DET
cana-1632	225	5	barolli	barolli	NOUN
cana-1632	225	6	,	,	PUNCT
cana-1632	225	7	k	k	PROPN
cana-1632	225	8	bylykbashi	bylykbashi	PROPN
cana-1632	225	9	,	,	PUNCT
cana-1632	225	10	e	e	X
cana-1632	225	11	qafzezi	qafzezi	NOUN
cana-1632	225	12	et	et	PROPN
cana-1632	225	13	al	al	PROPN
cana-1632	225	14	.	.	PROPN
cana-1632	225	15	,	,	PUNCT
cana-1632	225	16	"	"	PUNCT
cana-1632	225	17	a	a	DET
cana-1632	225	18	comparison	comparison	NOUN
cana-1632	225	19	study	study	NOUN
cana-1632	225	20	of	of	ADP
cana-1632	225	21	weibull	weibull	PROPN
cana-1632	225	22	normal	normal	ADJ
cana-1632	225	23	and	and	CCONJ
cana-1632	225	24	boulevard	boulevard	ADJ
cana-1632	225	25	distributions	distribution	NOUN
cana-1632	225	26	for	for	ADP
cana-1632	225	27	wireless	wireless	ADJ
cana-1632	225	28	mesh	mesh	NOUN
cana-1632	225	29	networks	network	NOUN
cana-1632	225	30	considering	consider	VERB
cana-1632	225	31	different	different	ADJ
cana-1632	225	32	router	router	NOUN
cana-1632	225	33	replacement	replacement	NOUN
cana-1632	225	34	methods	method	NOUN
cana-1632	225	35	by	by	ADP
cana-1632	225	36	a	a	DET
cana-1632	225	37	hybrid	hybrid	ADJ
cana-1632	225	38	intelligent	intelligent	ADJ
cana-1632	225	39	simulation	simulation	NOUN
cana-1632	225	40	syst	syst	NOUN
cana-1632	225	41	em	em	PRON
cana-1632	225	42	"	"	PUNCT
cana-1632	225	43	,	,	PUNCT
cana-1632	225	44	journal	journal	NOUN
cana-1632	225	45	of	of	ADP
cana-1632	225	46	ambient	ambient	ADJ
cana-1632	225	47	intelligence	intelligence	NOUN
cana-1632	225	48	and	and	CCONJ
cana-1632	225	49	humanized	humanize	VERB
cana-1632	225	50	computing	computing	NOUN
cana-1632	225	51	,	,	PUNCT
cana-1632	225	52	vol	vol	NOUN
cana-1632	225	53	.	.	PROPN
cana-1632	226	1	14	14	NUM
cana-1632	226	2	,	,	PUNCT
cana-1632	226	3	no	no	INTJ
cana-1632	226	4	.	.	NOUN
cana-1632	226	5	8	8	NUM
cana-1632	226	6	,	,	PUNCT
cana-1632	226	7	pp	pp	ADJ
cana-1632	226	8	.	.	PUNCT
cana-1632	227	1	10181	10181	NUM
cana-1632	227	2	-	-	SYM
cana-1632	227	3	10194	10194	NUM
cana-1632	227	4	,	,	PUNCT
cana-1632	227	5	2023	2023	NUM
cana-1632	227	6	.	.	PUNCT
cana-1632	228	1	[	[	X
cana-1632	228	2	14	14	NUM
cana-1632	228	3	]	]	PUNCT
cana-1632	228	4	papadimitriou	papadimitriou	NOUN
cana-1632	228	5	,	,	PUNCT
cana-1632	228	6	c.	c.	NOUN
cana-1632	228	7	;	;	PUNCT
cana-1632	228	8	di	di	PROPN
cana-1632	228	9	somma	somma	PROPN
cana-1632	228	10	,	,	PUNCT
cana-1632	228	11	m.	m.	NOUN
cana-1632	228	12	;	;	PUNCT
cana-1632	228	13	charalambous	charalambous	ADJ
cana-1632	228	14	,	,	PUNCT
cana-1632	228	15	c.	c.	PROPN
cana-1632	228	16	;	;	PUNCT
cana-1632	228	17	caliano	caliano	PROPN
cana-1632	228	18	,	,	PUNCT
cana-1632	228	19	m.	m.	NOUN
cana-1632	228	20	;	;	PUNCT
cana-1632	228	21	palladino	palladino	PROPN
cana-1632	228	22	,	,	PUNCT
cana-1632	228	23	v.	v.	PROPN
cana-1632	228	24	;	;	PUNCT
cana-1632	228	25	cortés	cortés	NOUN
cana-1632	228	26	borray	borray	PROPN
cana-1632	228	27	,	,	PUNCT
cana-1632	228	28	a.f	a.f	PROPN
cana-1632	228	29	.	.	PROPN
cana-1632	228	30	;	;	PUNCT
cana-1632	228	31	gonzálezgarrido	gonzálezgarrido	PROPN
cana-1632	228	32	,	,	PUNCT
cana-1632	228	33	a.	a.	NOUN
cana-1632	228	34	;	;	PUNCT
cana-1632	228	35	ruiz	ruiz	NOUN
cana-1632	228	36	,	,	PUNCT
cana-1632	228	37	n.	n.	NOUN
cana-1632	228	38	;	;	PUNCT
cana-1632	228	39	graditi	graditi	NOUN
cana-1632	228	40	,	,	PUNCT
cana-1632	228	41	g.	g.	PROPN
cana-1632	228	42	a	a	DET
cana-1632	228	43	comprehensive	comprehensive	ADJ
cana-1632	228	44	review	review	NOUN
cana-1632	228	45	of	of	ADP
cana-1632	228	46	the	the	DET
cana-1632	228	47	design	design	NOUN
cana-1632	228	48	and	and	CCONJ
cana-1632	228	49	operation	operation	NOUN
cana-1632	228	50	optimization	optimization	NOUN
cana-1632	228	51	of	of	ADP
cana-1632	228	52	energy	energy	NOUN
cana-1632	228	53	hubs	hub	NOUN
cana-1632	228	54	and	and	CCONJ
cana-1632	228	55	their	their	PRON
cana-1632	228	56	interaction	interaction	NOUN
cana-1632	228	57	with	with	ADP
cana-1632	228	58	the	the	DET
cana-1632	228	59	markets	market	NOUN
cana-1632	228	60	and	and	CCONJ
cana-1632	228	61	external	external	ADJ
cana-1632	228	62	networks	network	NOUN
cana-1632	228	63	.	.	PUNCT
cana-1632	229	1	energies	energy	NOUN
cana-1632	229	2	2023	2023	NUM
cana-1632	229	3	,	,	PUNCT
cana-1632	229	4	16	16	NUM
cana-1632	229	5	,	,	PUNCT
cana-1632	229	6	4018	4018	NUM
cana-1632	229	7	.	.	PUNCT
cana-1632	230	1	communications	communication	NOUN
cana-1632	230	2	on	on	ADP
cana-1632	230	3	applied	apply	VERB
cana-1632	230	4	nonlinear	nonlinear	ADJ
cana-1632	230	5	analysis	analysis	NOUN
cana-1632	230	6	issn	issn	NOUN
cana-1632	230	7	:	:	PUNCT
cana-1632	230	8	1074	1074	NUM
cana-1632	230	9	-	-	PUNCT
cana-1632	230	10	133x	133x	NUM
cana-1632	230	11	vol	vol	NOUN
cana-1632	230	12	32	32	NUM
cana-1632	230	13	no	no	NOUN
cana-1632	230	14	.	.	NOUN
cana-1632	230	15	1	1	NUM
cana-1632	230	16	(	(	PUNCT
cana-1632	230	17	2025	2025	NUM
cana-1632	230	18	)	)	PUNCT
cana-1632	231	1	225	225	NUM
cana-1632	231	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1632	231	3	[	[	X
cana-1632	231	4	15	15	NUM
cana-1632	231	5	]	]	X
cana-1632	231	6	y	y	PROPN
cana-1632	231	7	liu	liu	PROPN
cana-1632	231	8	,	,	PUNCT
cana-1632	231	9	k	k	PROPN
cana-1632	231	10	f	f	PROPN
cana-1632	231	11	tong	tong	PROPN
cana-1632	231	12	and	and	CCONJ
cana-1632	231	13	k	k	PROPN
cana-1632	231	14	k.	k.	PROPN
cana-1632	231	15	wong	wong	PROPN
cana-1632	231	16	,	,	PUNCT
cana-1632	231	17	"	"	PUNCT
cana-1632	231	18	reinforcement	reinforcement	NOUN
cana-1632	231	19	learning	learning	NOUN
cana-1632	231	20	based	base	VERB
cana-1632	231	21	routing	routing	NOUN
cana-1632	231	22	for	for	ADP
cana-1632	231	23	energy	energy	NOUN
cana-1632	231	24	sensitive	sensitive	ADJ
cana-1632	231	25	wireless	wireless	ADJ
cana-1632	231	26	mesh	mesh	NOUN
cana-1632	231	27	iot	iot	PROPN
cana-1632	231	28	networks	network	NOUN
cana-1632	231	29	"	"	PUNCT
cana-1632	231	30	,	,	PUNCT
cana-1632	231	31	electronics	electronic	NOUN
cana-1632	231	32	letters	letter	NOUN
cana-1632	231	33	,	,	PUNCT
cana-1632	231	34	vol	vol	NOUN
cana-1632	231	35	.	.	PROPN
cana-1632	232	1	55	55	NUM
cana-1632	232	2	,	,	PUNCT
cana-1632	232	3	no	no	INTJ
cana-1632	232	4	.	.	NOUN
cana-1632	232	5	17	17	NUM
cana-1632	232	6	,	,	PUNCT
cana-1632	232	7	pp	pp	ADJ
cana-1632	232	8	.	.	PUNCT
cana-1632	233	1	966	966	NUM
cana-1632	233	2	-	-	SYM
cana-1632	233	3	968	968	NUM
cana-1632	233	4	,	,	PUNCT
cana-1632	233	5	2019	2019	NUM
cana-1632	233	6	.	.	PUNCT
cana-1632	234	1	[	[	X
cana-1632	234	2	16	16	NUM
cana-1632	234	3	]	]	X
cana-1632	234	4	nemade	nemade	PROPN
cana-1632	234	5	,	,	PUNCT
cana-1632	234	6	bhushankumar	bhushankumar	PROPN
cana-1632	234	7	,	,	PUNCT
cana-1632	234	8	and	and	CCONJ
cana-1632	234	9	deven	deven	PROPN
cana-1632	234	10	shah	shah	NOUN
cana-1632	234	11	.	.	PUNCT
cana-1632	235	1	"	"	PUNCT
cana-1632	235	2	an	an	DET
cana-1632	235	3	efficient	efficient	ADJ
cana-1632	235	4	iot	iot	NOUN
cana-1632	235	5	based	base	VERB
cana-1632	235	6	prediction	prediction	NOUN
cana-1632	235	7	system	system	NOUN
cana-1632	235	8	for	for	ADP
cana-1632	235	9	classification	classification	NOUN
cana-1632	235	10	of	of	ADP
cana-1632	235	11	water	water	NOUN
cana-1632	235	12	using	use	VERB
cana-1632	235	13	novel	novel	ADJ
cana-1632	235	14	adaptive	adaptive	ADJ
cana-1632	235	15	incremental	incremental	ADJ
cana-1632	235	16	learning	learning	NOUN
cana-1632	235	17	framework	framework	NOUN
cana-1632	235	18	.	.	PUNCT
cana-1632	235	19	"	"	PUNCT
cana-1632	236	1	journal	journal	NOUN
cana-1632	236	2	of	of	ADP
cana-1632	236	3	king	king	PROPN
cana-1632	236	4	saud	saud	PROPN
cana-1632	236	5	university	university	PROPN
cana-1632	236	6	-	-	PUNCT
cana-1632	236	7	computer	computer	NOUN
cana-1632	236	8	and	and	CCONJ
cana-1632	236	9	information	information	NOUN
cana-1632	236	10	sciences	science	NOUN
cana-1632	236	11	34.8	34.8	NUM
cana-1632	236	12	(	(	PUNCT
cana-1632	236	13	2022	2022	NUM
cana-1632	236	14	):	):	PUNCT
cana-1632	236	15	5121	5121	NUM
cana-1632	236	16	-	-	SYM
cana-1632	236	17	5131	5131	NUM
cana-1632	236	18	.	.	PUNCT
cana-1632	237	1	[	[	X
cana-1632	237	2	17	17	NUM
cana-1632	237	3	]	]	PUNCT
cana-1632	237	4	anupma	anupma	PROPN
cana-1632	237	5	gupta	gupta	PROPN
cana-1632	237	6	,	,	PUNCT
cana-1632	237	7	vipan	vipan	NOUN
cana-1632	237	8	kumar	kumar	PROPN
cana-1632	237	9	“	"	PUNCT
cana-1632	237	10	design	design	NOUN
cana-1632	237	11	of	of	ADP
cana-1632	237	12	a	a	DET
cana-1632	237	13	tri	tri	ADJ
cana-1632	237	14	-	-	ADJ
cana-1632	237	15	band	band	ADJ
cana-1632	237	16	patch	patch	NOUN
cana-1632	237	17	antenna	antenna	NOUN
cana-1632	237	18	with	with	ADP
cana-1632	237	19	back	back	ADJ
cana-1632	237	20	reflector	reflector	NOUN
cana-1632	237	21	for	for	ADP
cana-1632	237	22	off	off	ADP
cana-1632	237	23	-	-	PUNCT
cana-1632	237	24	body	body	NOUN
cana-1632	237	25	communication	communication	NOUN
cana-1632	237	26	.	.	PUNCT
cana-1632	237	27	”	"	PUNCT
cana-1632	238	1	wireless	wireless	ADJ
cana-1632	238	2	personal	personal	ADJ
cana-1632	238	3	communication	communication	NOUN
cana-1632	238	4	,	,	PUNCT
cana-1632	238	5	(	(	PUNCT
cana-1632	238	6	2020	2020	NUM
cana-1632	238	7	)	)	PUNCT
cana-1632	238	8	.	.	PUNCT
cana-1632	239	1	vol	vol	NOUN
cana-1632	239	2	.	.	PROPN
cana-1632	239	3	115	115	NUM
cana-1632	239	4	,	,	PUNCT
cana-1632	239	5	pp	pp	ADJ
cana-1632	239	6	.	.	PUNCT
cana-1632	240	1	173	173	NUM
cana-1632	240	2	-	-	SYM
cana-1632	240	3	185	185	NUM
cana-1632	240	4	(	(	PUNCT
cana-1632	240	5	2020	2020	NUM
cana-1632	240	6	)	)	PUNCT
cana-1632	240	7	.	.	PUNCT
cana-1632	241	1	https://doi.org/10.1080/09205071.2020.1865209	https://doi.org/10.1080/09205071.2020.1865209	VERB
cana-1632	242	1	[	[	X
cana-1632	242	2	18	18	NUM
cana-1632	242	3	]	]	X
cana-1632	242	4	nemade	nemade	PROPN
cana-1632	242	5	,	,	PUNCT
cana-1632	242	6	b.	b.	PROPN
cana-1632	242	7	,	,	PUNCT
cana-1632	242	8	bharadi	bharadi	NOUN
cana-1632	242	9	,	,	PUNCT
cana-1632	242	10	v.	v.	ADV
cana-1632	242	11	,	,	PUNCT
cana-1632	242	12	alegavi	alegavi	PROPN
cana-1632	242	13	,	,	PUNCT
cana-1632	242	14	s.	s.	PROPN
cana-1632	242	15	s.	s.	PROPN
cana-1632	242	16	,	,	PUNCT
cana-1632	242	17	&	&	CCONJ
cana-1632	242	18	marakarkandy	marakarkandy	PROPN
cana-1632	242	19	,	,	PUNCT
cana-1632	242	20	b.	b.	PROPN
cana-1632	242	21	(	(	PUNCT
cana-1632	242	22	2023	2023	NUM
cana-1632	242	23	)	)	PUNCT
cana-1632	242	24	.	.	PUNCT
cana-1632	243	1	a	a	DET
cana-1632	243	2	comprehensive	comprehensive	ADJ
cana-1632	243	3	review	review	NOUN
cana-1632	243	4	:	:	PUNCT
cana-1632	243	5	smote	smite	VERB
cana-1632	243	6	-	-	PUNCT
cana-1632	243	7	based	base	VERB
cana-1632	243	8	oversampling	oversampling	ADJ
cana-1632	243	9	methods	method	NOUN
cana-1632	243	10	for	for	ADP
cana-1632	243	11	imbalanced	imbalanced	ADJ
cana-1632	243	12	classification	classification	NOUN
cana-1632	243	13	techniques	technique	NOUN
cana-1632	243	14	,	,	PUNCT
cana-1632	243	15	evaluation	evaluation	NOUN
cana-1632	243	16	,	,	PUNCT
cana-1632	243	17	and	and	CCONJ
cana-1632	243	18	result	result	VERB
cana-1632	243	19	comparisons	comparison	NOUN
cana-1632	243	20	.	.	PUNCT
cana-1632	244	1	international	international	ADJ
cana-1632	244	2	journal	journal	NOUN
cana-1632	244	3	of	of	ADP
cana-1632	244	4	intelligent	intelligent	ADJ
cana-1632	244	5	systems	system	NOUN
cana-1632	244	6	and	and	CCONJ
cana-1632	244	7	applications	application	NOUN
cana-1632	244	8	in	in	ADP
cana-1632	244	9	engineering	engineering	NOUN
cana-1632	244	10	,	,	PUNCT
cana-1632	244	11	11(9s	11(9s	NUM
cana-1632	244	12	)	)	PUNCT
cana-1632	244	13	,	,	PUNCT
cana-1632	244	14	790	790	NUM
cana-1632	244	15	-	-	SYM
cana-1632	244	16	803	803	NUM
cana-1632	244	17	.	.	PUNCT
cana-1632	245	1	[	[	X
cana-1632	245	2	19	19	NUM
cana-1632	245	3	]	]	PUNCT
cana-1632	245	4	anupma	anupma	PROPN
cana-1632	245	5	gupta	gupta	PROPN
cana-1632	245	6	,	,	PUNCT
cana-1632	245	7	vipan	vipan	NOUN
cana-1632	245	8	kumar	kumar	PROPN
cana-1632	245	9	“	"	PUNCT
cana-1632	245	10	dgs	dgs	PROPN
cana-1632	245	11	-	-	PUNCT
cana-1632	245	12	based	base	VERB
cana-1632	245	13	wideband	wideband	PROPN
cana-1632	245	14	mimo	mimo	PROPN
cana-1632	245	15	antenna	antenna	NOUN
cana-1632	245	16	for	for	ADP
cana-1632	245	17	on	on	ADP
cana-1632	245	18	-	-	PUNCT
cana-1632	245	19	off	off	ADP
cana-1632	245	20	body	body	NOUN
cana-1632	245	21	communication	communication	NOUN
cana-1632	245	22	with	with	ADP
cana-1632	245	23	port	port	NOUN
cana-1632	245	24	isolation	isolation	NOUN
cana-1632	245	25	enhancement	enhancement	NOUN
cana-1632	245	26	operating	operate	VERB
cana-1632	245	27	at	at	ADP
cana-1632	245	28	2.45	2.45	NUM
cana-1632	245	29	ghz	ghz	NOUN
cana-1632	245	30	industrial	industrial	ADJ
cana-1632	245	31	scientific	scientific	ADJ
cana-1632	245	32	and	and	CCONJ
cana-1632	245	33	medical	medical	ADJ
cana-1632	245	34	band	band	NOUN
cana-1632	245	35	.	.	PUNCT
cana-1632	245	36	”	"	PUNCT
cana-1632	245	37	journal	journal	NOUN
cana-1632	245	38	of	of	ADP
cana-1632	245	39	electromagnetic	electromagnetic	ADJ
cana-1632	245	40	wave	wave	NOUN
cana-1632	245	41	and	and	CCONJ
cana-1632	245	42	application	application	NOUN
cana-1632	245	43	,	,	PUNCT
cana-1632	245	44	2020	2020	NUM
cana-1632	245	45	.	.	PUNCT
cana-1632	246	1	https://doi.org/10.1080/09205071.2020.1865209	https://doi.org/10.1080/09205071.2020.1865209	VERB
cana-1632	247	1	[	[	X
cana-1632	247	2	20	20	NUM
cana-1632	247	3	]	]	PUNCT
cana-1632	247	4	anupma	anupma	PROPN
cana-1632	247	5	gupta	gupta	PROPN
cana-1632	247	6	,	,	PUNCT
cana-1632	247	7	vipan	vipan	PROPN
cana-1632	247	8	kumar	kumar	PROPN
cana-1632	247	9	,	,	PUNCT
cana-1632	247	10	dinesh	dinesh	PROPN
cana-1632	247	11	garg	garg	PROPN
cana-1632	247	12	,	,	PUNCT
cana-1632	247	13	mohammed	mohammed	PROPN
cana-1632	247	14	h.	h.	PROPN
cana-1632	247	15	alsharif	alsharif	PROPN
cana-1632	247	16	,	,	PUNCT
cana-1632	247	17	and	and	CCONJ
cana-1632	247	18	abu	abu	PROPN
cana-1632	247	19	jahid	jahid	PROPN
cana-1632	247	20	.	.	PUNCT
cana-1632	248	1	"	"	PUNCT
cana-1632	248	2	performance	performance	NOUN
cana-1632	248	3	analysis	analysis	NOUN
cana-1632	248	4	of	of	ADP
cana-1632	248	5	an	an	DET
cana-1632	248	6	aperture	aperture	NOUN
cana-1632	248	7	-	-	PUNCT
cana-1632	248	8	coupled	couple	VERB
cana-1632	248	9	thz	thz	ADJ
cana-1632	248	10	antenna	antenna	NOUN
cana-1632	248	11	for	for	ADP
cana-1632	248	12	diagnosing	diagnose	VERB
cana-1632	248	13	breast	breast	NOUN
cana-1632	248	14	cancer	cancer	NOUN
cana-1632	248	15	.	.	PUNCT
cana-1632	248	16	"	"	PUNCT
cana-1632	249	1	micromachines	micromachine	NOUN
cana-1632	249	2	14	14	NUM
cana-1632	249	3	,	,	PUNCT
cana-1632	249	4	no	no	INTJ
cana-1632	249	5	.	.	NOUN
cana-1632	249	6	7	7	NUM
cana-1632	249	7	(	(	PUNCT
cana-1632	249	8	2023	2023	NUM
cana-1632	249	9	):	):	PUNCT
cana-1632	249	10	1281	1281	NUM
cana-1632	249	11	.	.	PUNCT