id	sid	tid	token	lemma	pos
cana-827	1	1	communications	communication	NOUN
cana-827	1	2	on	on	ADP
cana-827	1	3	applied	apply	VERB
cana-827	1	4	nonlinear	nonlinear	ADJ
cana-827	1	5	analysis	analysis	NOUN
cana-827	1	6	issn	issn	NOUN
cana-827	1	7	:	:	PUNCT
cana-827	1	8	1074	1074	NUM
cana-827	1	9	-	-	PUNCT
cana-827	1	10	133x	133x	NUM
cana-827	1	11	vol	vol	NOUN
cana-827	1	12	31	31	NUM
cana-827	1	13	no	no	NOUN
cana-827	1	14	.	.	PUNCT
cana-827	2	1	4s	4s	NUM
cana-827	2	2	(	(	PUNCT
cana-827	2	3	2024	2024	NUM
cana-827	2	4	)	)	PUNCT
cana-827	2	5	23	23	NUM
cana-827	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	2	7	optimizing	optimize	VERB
cana-827	2	8	forest	forest	NOUN
cana-827	2	9	surveillance	surveillance	NOUN
cana-827	2	10	:	:	PUNCT
cana-827	2	11	a	a	DET
cana-827	2	12	hybrid	hybrid	ADJ
cana-827	2	13	algorithm	algorithm	NOUN
cana-827	2	14	combining	combine	VERB
cana-827	2	15	aco	aco	PROPN
cana-827	2	16	and	and	CCONJ
cana-827	2	17	abc	abc	PROPN
cana-827	2	18	yatish	yatish	PROPN
cana-827	2	19	sj1	sj1	PROPN
cana-827	2	20	,	,	PUNCT
cana-827	2	21	viji	viji	PROPN
cana-827	2	22	vinod2	vinod2	PROPN
cana-827	2	23	1phd	1phd	PROPN
cana-827	2	24	scholar	scholar	NOUN
cana-827	2	25	,	,	PUNCT
cana-827	2	26	dr.m.g.r	dr.m.g.r	PROPN
cana-827	2	27	educational	educational	ADJ
cana-827	2	28	and	and	CCONJ
cana-827	2	29	research	research	PROPN
cana-827	2	30	institute	institute	PROPN
cana-827	2	31	,	,	PUNCT
cana-827	2	32	chennai	chennai	PROPN
cana-827	2	33	,	,	PUNCT
cana-827	2	34	email	email	NOUN
cana-827	2	35	:	:	PUNCT
cana-827	3	1	yatishsjphd@gmail.com	yatishsjphd@gmail.com	X
cana-827	3	2	.	.	PROPN
cana-827	3	3	2computer	2computer	NUM
cana-827	3	4	applications	application	NOUN
cana-827	3	5	,	,	PUNCT
cana-827	3	6	dr.m.g.r	dr.m.g.r	PROPN
cana-827	3	7	educational	educational	ADJ
cana-827	3	8	and	and	CCONJ
cana-827	3	9	research	research	PROPN
cana-827	3	10	institute	institute	PROPN
cana-827	3	11	,	,	PUNCT
cana-827	3	12	chennai	chennai	PROPN
cana-827	3	13	,	,	PUNCT
cana-827	3	14	email	email	NOUN
cana-827	3	15	:	:	PUNCT
cana-827	3	16	hod-mca@drmgrdu.ac.in	hod-mca@drmgrdu.ac.in	X
cana-827	3	17	article	article	NOUN
cana-827	3	18	history	history	NOUN
cana-827	3	19	:	:	PUNCT
cana-827	3	20	received	receive	VERB
cana-827	3	21	:	:	PUNCT
cana-827	3	22	11	11	NUM
cana-827	3	23	-	-	PUNCT
cana-827	3	24	04	04	NUM
cana-827	3	25	-	-	PUNCT
cana-827	3	26	2024	2024	NUM
cana-827	3	27	revised	revise	VERB
cana-827	3	28	:	:	PUNCT
cana-827	3	29	06	06	NUM
cana-827	3	30	-	-	SYM
cana-827	3	31	06	06	NUM
cana-827	3	32	-	-	PUNCT
cana-827	3	33	2024	2024	NUM
cana-827	3	34	accepted	accept	VERB
cana-827	3	35	:	:	PUNCT
cana-827	3	36	21	21	NUM
cana-827	3	37	-	-	SYM
cana-827	3	38	06	06	NUM
cana-827	3	39	-	-	PUNCT
cana-827	3	40	2024	2024	NUM
cana-827	3	41	abstract	abstract	NOUN
cana-827	3	42	this	this	DET
cana-827	3	43	work	work	NOUN
cana-827	3	44	introduces	introduce	VERB
cana-827	3	45	a	a	DET
cana-827	3	46	potential	potential	ADJ
cana-827	3	47	hybrid	hybrid	ADJ
cana-827	3	48	algorithm	algorithm	NOUN
cana-827	3	49	for	for	ADP
cana-827	3	50	the	the	DET
cana-827	3	51	complex	complex	ADJ
cana-827	3	52	field	field	NOUN
cana-827	3	53	of	of	ADP
cana-827	3	54	forest	forest	NOUN
cana-827	3	55	monitoring	monitoring	NOUN
cana-827	3	56	,	,	PUNCT
cana-827	3	57	integrating	integrate	VERB
cana-827	3	58	artificial	artificial	ADJ
cana-827	3	59	bee	bee	NOUN
cana-827	3	60	colony	colony	NOUN
cana-827	3	61	optimisation	optimisation	NOUN
cana-827	3	62	(	(	PUNCT
cana-827	3	63	abc	abc	PROPN
cana-827	3	64	)	)	PUNCT
cana-827	3	65	and	and	CCONJ
cana-827	3	66	ant	ant	ADJ
cana-827	3	67	colony	colony	NOUN
cana-827	3	68	optimisation	optimisation	NOUN
cana-827	3	69	(	(	PUNCT
cana-827	3	70	aco	aco	PROPN
cana-827	3	71	)	)	PUNCT
cana-827	3	72	.	.	PUNCT
cana-827	4	1	the	the	DET
cana-827	4	2	performance	performance	NOUN
cana-827	4	3	indicators	indicator	NOUN
cana-827	4	4	of	of	ADP
cana-827	4	5	the	the	DET
cana-827	4	6	algorithm	algorithm	NOUN
cana-827	4	7	were	be	AUX
cana-827	4	8	carefully	carefully	ADV
cana-827	4	9	assessed	assess	VERB
cana-827	4	10	in	in	ADP
cana-827	4	11	a	a	DET
cana-827	4	12	fictitious	fictitious	ADJ
cana-827	4	13	use	use	NOUN
cana-827	4	14	case	case	NOUN
cana-827	4	15	.	.	PUNCT
cana-827	5	1	its	its	PRON
cana-827	5	2	effectiveness	effectiveness	NOUN
cana-827	5	3	was	be	AUX
cana-827	5	4	demonstrated	demonstrate	VERB
cana-827	5	5	by	by	ADP
cana-827	5	6	a	a	DET
cana-827	5	7	shorter	short	ADJ
cana-827	5	8	drone	drone	NOUN
cana-827	5	9	path	path	NOUN
cana-827	5	10	,	,	PUNCT
cana-827	5	11	a	a	DET
cana-827	5	12	shorter	short	ADJ
cana-827	5	13	flight	flight	NOUN
cana-827	5	14	duration	duration	NOUN
cana-827	5	15	,	,	PUNCT
cana-827	5	16	and	and	CCONJ
cana-827	5	17	less	less	ADJ
cana-827	5	18	energy	energy	NOUN
cana-827	5	19	usage	usage	NOUN
cana-827	5	20	,	,	PUNCT
cana-827	5	21	making	make	VERB
cana-827	5	22	it	it	PRON
cana-827	5	23	an	an	DET
cana-827	5	24	affordable	affordable	ADJ
cana-827	5	25	surveillance	surveillance	NOUN
cana-827	5	26	option	option	NOUN
cana-827	5	27	.	.	PUNCT
cana-827	6	1	in	in	ADP
cana-827	6	2	addition	addition	NOUN
cana-827	6	3	,	,	PUNCT
cana-827	6	4	the	the	DET
cana-827	6	5	algorithm	algorithm	NOUN
cana-827	6	6	demonstrated	demonstrate	VERB
cana-827	6	7	a	a	DET
cana-827	6	8	great	great	ADJ
cana-827	6	9	rate	rate	NOUN
cana-827	6	10	of	of	ADP
cana-827	6	11	mission	mission	NOUN
cana-827	6	12	coverage	coverage	NOUN
cana-827	6	13	,	,	PUNCT
cana-827	6	14	quick	quick	ADJ
cana-827	6	15	convergence	convergence	NOUN
cana-827	6	16	,	,	PUNCT
cana-827	6	17	and	and	CCONJ
cana-827	6	18	consistently	consistently	ADV
cana-827	6	19	good	good	ADJ
cana-827	6	20	quality	quality	NOUN
cana-827	6	21	of	of	ADP
cana-827	6	22	solutions	solution	NOUN
cana-827	6	23	.	.	PUNCT
cana-827	7	1	its	its	PRON
cana-827	7	2	usefulness	usefulness	NOUN
cana-827	7	3	in	in	ADP
cana-827	7	4	dynamic	dynamic	ADJ
cana-827	7	5	forest	forest	NOUN
cana-827	7	6	habitats	habitat	NOUN
cana-827	7	7	was	be	AUX
cana-827	7	8	highlighted	highlight	VERB
cana-827	7	9	by	by	ADP
cana-827	7	10	its	its	PRON
cana-827	7	11	capacity	capacity	NOUN
cana-827	7	12	to	to	PART
cana-827	7	13	adjust	adjust	VERB
cana-827	7	14	to	to	ADP
cana-827	7	15	changing	change	VERB
cana-827	7	16	weather	weather	NOUN
cana-827	7	17	conditions	condition	NOUN
cana-827	7	18	and	and	CCONJ
cana-827	7	19	scale	scale	NOUN
cana-827	7	20	to	to	PART
cana-827	7	21	accommodate	accommodate	VERB
cana-827	7	22	more	more	ADJ
cana-827	7	23	waypoints	waypoint	NOUN
cana-827	7	24	.	.	PUNCT
cana-827	8	1	its	its	PRON
cana-827	8	2	cost	cost	NOUN
cana-827	8	3	-	-	PUNCT
cana-827	8	4	effectiveness	effectiveness	NOUN
cana-827	8	5	is	be	AUX
cana-827	8	6	increased	increase	VERB
cana-827	8	7	by	by	ADP
cana-827	8	8	efficient	efficient	ADJ
cana-827	8	9	resource	resource	NOUN
cana-827	8	10	utilisation	utilisation	NOUN
cana-827	8	11	,	,	PUNCT
cana-827	8	12	which	which	PRON
cana-827	8	13	is	be	AUX
cana-827	8	14	demonstrated	demonstrate	VERB
cana-827	8	15	by	by	ADP
cana-827	8	16	low	low	ADJ
cana-827	8	17	cpu	cpu	NOUN
cana-827	8	18	and	and	CCONJ
cana-827	8	19	memory	memory	NOUN
cana-827	8	20	consumption	consumption	NOUN
cana-827	8	21	.	.	PUNCT
cana-827	9	1	taken	take	VERB
cana-827	9	2	together	together	ADV
cana-827	9	3	,	,	PUNCT
cana-827	9	4	these	these	DET
cana-827	9	5	results	result	NOUN
cana-827	9	6	highlight	highlight	VERB
cana-827	9	7	how	how	SCONJ
cana-827	9	8	the	the	DET
cana-827	9	9	algorithm	algorithm	NOUN
cana-827	9	10	may	may	AUX
cana-827	9	11	transform	transform	VERB
cana-827	9	12	forest	forest	NOUN
cana-827	9	13	surveillance	surveillance	NOUN
cana-827	9	14	by	by	ADP
cana-827	9	15	increasing	increase	VERB
cana-827	9	16	operational	operational	ADJ
cana-827	9	17	effectiveness	effectiveness	NOUN
cana-827	9	18	,	,	PUNCT
cana-827	9	19	cutting	cut	VERB
cana-827	9	20	expenses	expense	NOUN
cana-827	9	21	,	,	PUNCT
cana-827	9	22	and	and	CCONJ
cana-827	9	23	satisfying	satisfy	VERB
cana-827	9	24	the	the	DET
cana-827	9	25	changing	change	VERB
cana-827	9	26	requirements	requirement	NOUN
cana-827	9	27	of	of	ADP
cana-827	9	28	intricate	intricate	ADJ
cana-827	9	29	monitoring	monitoring	NOUN
cana-827	9	30	scenarios	scenario	NOUN
cana-827	9	31	.	.	PUNCT
cana-827	10	1	to	to	PART
cana-827	10	2	fully	fully	ADV
cana-827	10	3	realise	realise	VERB
cana-827	10	4	the	the	DET
cana-827	10	5	algorithm	algorithm	NOUN
cana-827	10	6	's	's	PART
cana-827	10	7	potential	potential	NOUN
cana-827	10	8	for	for	ADP
cana-827	10	9	environmental	environmental	ADJ
cana-827	10	10	monitoring	monitoring	NOUN
cana-827	10	11	applications	application	NOUN
cana-827	10	12	,	,	PUNCT
cana-827	10	13	this	this	DET
cana-827	10	14	research	research	NOUN
cana-827	10	15	advocates	advocate	VERB
cana-827	10	16	for	for	ADP
cana-827	10	17	more	more	ADJ
cana-827	10	18	real	real	ADJ
cana-827	10	19	-	-	PUNCT
cana-827	10	20	world	world	NOUN
cana-827	10	21	testing	testing	NOUN
cana-827	10	22	and	and	CCONJ
cana-827	10	23	optimisation	optimisation	NOUN
cana-827	10	24	.	.	PUNCT
cana-827	11	1	keywords	keyword	NOUN
cana-827	11	2	:	:	PUNCT
cana-827	11	3	ant	ant	ADJ
cana-827	11	4	colony	colony	NOUN
cana-827	11	5	algorithm(aco	algorithm(aco	PROPN
cana-827	11	6	)	)	PUNCT
cana-827	11	7	,	,	PUNCT
cana-827	11	8	artificial	artificial	ADJ
cana-827	11	9	bee	bee	NOUN
cana-827	11	10	colony(abc	colony(abc	PROPN
cana-827	11	11	)	)	PUNCT
cana-827	11	12	,	,	PUNCT
cana-827	11	13	hypothetical	hypothetical	ADJ
cana-827	11	14	hybrid	hybrid	ADJ
cana-827	11	15	algorithm(hha	algorithm(hha	NOUN
cana-827	11	16	)	)	PUNCT
cana-827	11	17	.	.	PUNCT
cana-827	12	1	1	1	X
cana-827	12	2	.	.	X
cana-827	12	3	introduction	introduction	NOUN
cana-827	12	4	in	in	ADP
cana-827	12	5	order	order	NOUN
cana-827	12	6	to	to	PART
cana-827	12	7	provide	provide	VERB
cana-827	12	8	public	public	ADJ
cana-827	12	9	safety	safety	NOUN
cana-827	12	10	,	,	PUNCT
cana-827	12	11	security	security	NOUN
cana-827	12	12	,	,	PUNCT
cana-827	12	13	and	and	CCONJ
cana-827	12	14	effective	effective	ADJ
cana-827	12	15	monitoring	monitoring	NOUN
cana-827	12	16	of	of	ADP
cana-827	12	17	varied	varied	ADJ
cana-827	12	18	surroundings	surrounding	NOUN
cana-827	12	19	,	,	PUNCT
cana-827	12	20	surveillance	surveillance	NOUN
cana-827	12	21	systems	system	NOUN
cana-827	12	22	are	be	AUX
cana-827	12	23	essential	essential	ADJ
cana-827	12	24	.	.	PUNCT
cana-827	13	1	unmanned	unmanned	ADJ
cana-827	13	2	aerial	aerial	ADJ
cana-827	13	3	vehicles(uavs	vehicles(uavs	PROPN
cana-827	13	4	)	)	PUNCT
cana-827	13	5	or	or	CCONJ
cana-827	13	6	drones	drone	NOUN
cana-827	13	7	have	have	AUX
cana-827	13	8	increased	increase	VERB
cana-827	13	9	surveillance	surveillance	NOUN
cana-827	13	10	capabilities	capability	NOUN
cana-827	13	11	and	and	CCONJ
cana-827	13	12	opened	open	VERB
cana-827	13	13	up	up	ADP
cana-827	13	14	new	new	ADJ
cana-827	13	15	avenues	avenue	NOUN
cana-827	13	16	for	for	ADP
cana-827	13	17	sophisticated	sophisticated	ADJ
cana-827	13	18	and	and	CCONJ
cana-827	13	19	adaptable	adaptable	ADJ
cana-827	13	20	monitoring	monitoring	NOUN
cana-827	13	21	.	.	PUNCT
cana-827	14	1	the	the	DET
cana-827	14	2	incorporation	incorporation	NOUN
cana-827	14	3	of	of	ADP
cana-827	14	4	swarm	swarm	NOUN
cana-827	14	5	intelligence	intelligence	NOUN
cana-827	14	6	algorithms	algorithm	NOUN
cana-827	14	7	into	into	ADP
cana-827	14	8	drone	drone	NOUN
cana-827	14	9	surveillance	surveillance	NOUN
cana-827	14	10	systems	system	NOUN
cana-827	14	11	is	be	AUX
cana-827	14	12	one	one	NUM
cana-827	14	13	topic	topic	NOUN
cana-827	14	14	of	of	ADP
cana-827	14	15	study	study	NOUN
cana-827	14	16	.	.	PUNCT
cana-827	15	1	swarm	swarm	NOUN
cana-827	15	2	intelligence	intelligence	NOUN
cana-827	15	3	creates	create	VERB
cana-827	15	4	algorithms	algorithm	NOUN
cana-827	15	5	that	that	PRON
cana-827	15	6	let	let	VERB
cana-827	15	7	drones	drone	NOUN
cana-827	15	8	cooperate	cooperate	VERB
cana-827	15	9	and	and	CCONJ
cana-827	15	10	effectively	effectively	ADV
cana-827	15	11	carry	carry	VERB
cana-827	15	12	out	out	ADP
cana-827	15	13	surveillance	surveillance	NOUN
cana-827	15	14	missions	mission	NOUN
cana-827	15	15	by	by	ADP
cana-827	15	16	drawing	draw	VERB
cana-827	15	17	inspiration	inspiration	NOUN
cana-827	15	18	from	from	ADP
cana-827	15	19	the	the	DET
cana-827	15	20	group	group	NOUN
cana-827	15	21	behaviour	behaviour	NOUN
cana-827	15	22	seen	see	VERB
cana-827	15	23	in	in	ADP
cana-827	15	24	natural	natural	ADJ
cana-827	15	25	systems	system	NOUN
cana-827	15	26	,	,	PUNCT
cana-827	15	27	such	such	ADJ
cana-827	15	28	as	as	ADP
cana-827	15	29	flocks	flock	NOUN
cana-827	15	30	of	of	ADP
cana-827	15	31	birds	bird	NOUN
cana-827	15	32	or	or	CCONJ
cana-827	15	33	ant	ant	ADJ
cana-827	15	34	colonies	colony	NOUN
cana-827	15	35	.	.	PUNCT
cana-827	16	1	swarm	swarm	NOUN
cana-827	16	2	intelligence	intelligence	NOUN
cana-827	16	3	algorithms	algorithm	NOUN
cana-827	16	4	for	for	ADP
cana-827	16	5	intelligent	intelligent	ADJ
cana-827	16	6	drone	drone	NOUN
cana-827	16	7	monitoring	monitoring	NOUN
cana-827	16	8	are	be	AUX
cana-827	16	9	becoming	become	VERB
cana-827	16	10	more	more	ADV
cana-827	16	11	popular	popular	ADJ
cana-827	16	12	,	,	PUNCT
cana-827	16	13	but	but	CCONJ
cana-827	16	14	a	a	DET
cana-827	16	15	thorough	thorough	ADJ
cana-827	16	16	assessment	assessment	NOUN
cana-827	16	17	of	of	ADP
cana-827	16	18	their	their	PRON
cana-827	16	19	effectiveness	effectiveness	NOUN
cana-827	16	20	,	,	PUNCT
cana-827	16	21	scalability	scalability	NOUN
cana-827	16	22	and	and	CCONJ
cana-827	16	23	resilience	resilience	NOUN
cana-827	16	24	is	be	AUX
cana-827	16	25	still	still	ADV
cana-827	16	26	needed	need	VERB
cana-827	16	27	.	.	PUNCT
cana-827	17	1	by	by	ADP
cana-827	17	2	methodically	methodically	ADV
cana-827	17	3	evaluating	evaluate	VERB
cana-827	17	4	the	the	DET
cana-827	17	5	effectiveness	effectiveness	NOUN
cana-827	17	6	of	of	ADP
cana-827	17	7	swarm	swarm	NOUN
cana-827	17	8	intelligence	intelligence	NOUN
cana-827	17	9	algorithms	algorithm	NOUN
cana-827	17	10	in	in	ADP
cana-827	17	11	the	the	DET
cana-827	17	12	context	context	NOUN
cana-827	17	13	of	of	ADP
cana-827	17	14	drone	drone	NOUN
cana-827	17	15	surveillance	surveillance	NOUN
cana-827	17	16	,	,	PUNCT
cana-827	17	17	this	this	DET
cana-827	17	18	meta	meta	ADJ
cana-827	17	19	-	-	PUNCT
cana-827	17	20	analysis	analysis	NOUN
cana-827	17	21	research	research	NOUN
cana-827	17	22	seeks	seek	VERB
cana-827	17	23	to	to	PART
cana-827	17	24	fill	fill	VERB
cana-827	17	25	this	this	DET
cana-827	17	26	gap	gap	NOUN
cana-827	17	27	.	.	PUNCT
cana-827	18	1	in	in	ADP
cana-827	18	2	accordance	accordance	NOUN
cana-827	18	3	with	with	ADP
cana-827	18	4	the	the	DET
cana-827	18	5	research	research	NOUN
cana-827	18	6	approach	approach	NOUN
cana-827	18	7	,	,	PUNCT
cana-827	18	8	papers	paper	NOUN
cana-827	18	9	that	that	PRON
cana-827	18	10	used	use	VERB
cana-827	18	11	swarm	swarm	NOUN
cana-827	18	12	intelligence	intelligence	NOUN
cana-827	18	13	algorithms	algorithm	NOUN
cana-827	18	14	for	for	ADP
cana-827	18	15	intelligent	intelligent	ADJ
cana-827	18	16	drone	drone	NOUN
cana-827	18	17	surveillance	surveillance	NOUN
cana-827	18	18	were	be	AUX
cana-827	18	19	carefully	carefully	ADV
cana-827	18	20	chosen	choose	VERB
cana-827	18	21	.	.	PUNCT
cana-827	19	1	the	the	DET
cana-827	19	2	selection	selection	NOUN
cana-827	19	3	of	of	ADP
cana-827	19	4	high	high	ADJ
cana-827	19	5	-	-	PUNCT
cana-827	19	6	quality	quality	NOUN
cana-827	19	7	and	and	CCONJ
cana-827	19	8	comparable	comparable	ADJ
cana-827	19	9	communications	communication	NOUN
cana-827	19	10	on	on	ADP
cana-827	19	11	applied	apply	VERB
cana-827	19	12	nonlinear	nonlinear	ADJ
cana-827	19	13	analysis	analysis	NOUN
cana-827	19	14	issn	issn	NOUN
cana-827	19	15	:	:	PUNCT
cana-827	19	16	1074	1074	NUM
cana-827	19	17	-	-	PUNCT
cana-827	19	18	133x	133x	NUM
cana-827	19	19	vol	vol	NOUN
cana-827	19	20	31	31	NUM
cana-827	19	21	no	no	NOUN
cana-827	19	22	.	.	PUNCT
cana-827	20	1	4s	4s	NUM
cana-827	20	2	(	(	PUNCT
cana-827	20	3	2024	2024	NUM
cana-827	20	4	)	)	PUNCT
cana-827	20	5	24	24	NUM
cana-827	20	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	20	7	studies	study	NOUN
cana-827	20	8	is	be	AUX
cana-827	20	9	ensured	ensure	VERB
cana-827	20	10	by	by	ADP
cana-827	20	11	the	the	DET
cana-827	20	12	use	use	NOUN
cana-827	20	13	of	of	ADP
cana-827	20	14	predetermined	predetermine	VERB
cana-827	20	15	inclusion	inclusion	NOUN
cana-827	20	16	and	and	CCONJ
cana-827	20	17	exclusion	exclusion	NOUN
cana-827	20	18	criteria	criterion	NOUN
cana-827	20	19	.	.	PUNCT
cana-827	21	1	data	datum	NOUN
cana-827	21	2	extraction	extraction	NOUN
cana-827	21	3	and	and	CCONJ
cana-827	21	4	analysis	analysis	NOUN
cana-827	21	5	are	be	AUX
cana-827	21	6	then	then	ADV
cana-827	21	7	applied	apply	VERB
cana-827	21	8	to	to	ADP
cana-827	21	9	the	the	DET
cana-827	21	10	selected	select	VERB
cana-827	21	11	research	research	NOUN
cana-827	21	12	in	in	ADP
cana-827	21	13	order	order	NOUN
cana-827	21	14	to	to	PART
cana-827	21	15	compare	compare	VERB
cana-827	21	16	and	and	CCONJ
cana-827	21	17	summarise	summarise	VERB
cana-827	21	18	their	their	PRON
cana-827	21	19	findings	finding	NOUN
cana-827	21	20	.	.	PUNCT
cana-827	22	1	the	the	DET
cana-827	22	2	usefulness	usefulness	NOUN
cana-827	22	3	of	of	ADP
cana-827	22	4	swarm	swarm	NOUN
cana-827	22	5	intelligence	intelligence	NOUN
cana-827	22	6	systems	system	NOUN
cana-827	22	7	in	in	ADP
cana-827	22	8	derone	derone	PROPN
cana-827	22	9	surveillance	surveillance	NOUN
cana-827	22	10	is	be	AUX
cana-827	22	11	evaluated	evaluate	VERB
cana-827	22	12	using	use	VERB
cana-827	22	13	key	key	ADJ
cana-827	22	14	performance	performance	NOUN
cana-827	22	15	characteristics	characteristic	NOUN
cana-827	22	16	like	like	ADP
cana-827	22	17	detection	detection	NOUN
cana-827	22	18	accuracy	accuracy	NOUN
cana-827	22	19	,	,	PUNCT
cana-827	22	20	tracking	tracking	NOUN
cana-827	22	21	efficiency	efficiency	NOUN
cana-827	22	22	,	,	PUNCT
cana-827	22	23	scalability	scalability	NOUN
cana-827	22	24	,	,	PUNCT
cana-827	22	25	and	and	CCONJ
cana-827	22	26	resilience	resilience	NOUN
cana-827	22	27	.	.	PUNCT
cana-827	23	1	the	the	DET
cana-827	23	2	meta	meta	ADJ
cana-827	23	3	-	-	PUNCT
cana-827	23	4	analysis	analysis	NOUN
cana-827	23	5	looks	look	VERB
cana-827	23	6	into	into	ADP
cana-827	23	7	the	the	DET
cana-827	23	8	possible	possible	ADJ
cana-827	23	9	drawbacks	drawback	NOUN
cana-827	23	10	and	and	CCONJ
cana-827	23	11	shortcomings	shortcoming	NOUN
cana-827	23	12	of	of	ADP
cana-827	23	13	these	these	DET
cana-827	23	14	algorithms	algorithm	NOUN
cana-827	23	15	in	in	ADP
cana-827	23	16	practical	practical	ADJ
cana-827	23	17	surveillance	surveillance	NOUN
cana-827	23	18	situations	situation	NOUN
cana-827	23	19	.	.	PUNCT
cana-827	24	1	the	the	DET
cana-827	24	2	outcomes	outcome	NOUN
cana-827	24	3	of	of	ADP
cana-827	24	4	this	this	DET
cana-827	24	5	meta	meta	ADJ
cana-827	24	6	-	-	PUNCT
cana-827	24	7	analysis	analysis	NOUN
cana-827	24	8	will	will	AUX
cana-827	24	9	help	help	VERB
cana-827	24	10	us	we	PRON
cana-827	24	11	comprehend	comprehend	VERB
cana-827	24	12	the	the	DET
cana-827	24	13	benefits	benefit	NOUN
cana-827	24	14	and	and	CCONJ
cana-827	24	15	drawbacks	drawback	NOUN
cana-827	24	16	of	of	ADP
cana-827	24	17	swarm	swarm	NOUN
cana-827	24	18	intelligence	intelligence	NOUN
cana-827	24	19	algorithms	algorithm	NOUN
cana-827	24	20	for	for	ADP
cana-827	24	21	intelligent	intelligent	ADJ
cana-827	24	22	drone	drone	NOUN
cana-827	24	23	monitoring	monitoring	NOUN
cana-827	24	24	.	.	PUNCT
cana-827	25	1	the	the	DET
cana-827	25	2	results	result	NOUN
cana-827	25	3	will	will	AUX
cana-827	25	4	shed	shed	VERB
cana-827	25	5	light	light	NOUN
cana-827	25	6	on	on	ADP
cana-827	25	7	these	these	DET
cana-827	25	8	algorithms	algorithm	NOUN
cana-827	25	9	’	'	PUNCT
cana-827	25	10	performance	performance	NOUN
cana-827	25	11	traits	trait	NOUN
cana-827	25	12	,	,	PUNCT
cana-827	25	13	potential	potential	NOUN
cana-827	25	14	for	for	ADP
cana-827	25	15	scalability	scalability	NOUN
cana-827	25	16	and	and	CCONJ
cana-827	25	17	robustness	robustness	NOUN
cana-827	25	18	in	in	ADP
cana-827	25	19	various	various	ADJ
cana-827	25	20	surveillance	surveillance	NOUN
cana-827	25	21	scenarios	scenario	NOUN
cana-827	25	22	.	.	PUNCT
cana-827	26	1	thus	thus	ADV
cana-827	26	2	,	,	PUNCT
cana-827	26	3	this	this	DET
cana-827	26	4	paper	paper	NOUN
cana-827	26	5	can	can	AUX
cana-827	26	6	be	be	AUX
cana-827	26	7	useful	useful	ADJ
cana-827	26	8	for	for	ADP
cana-827	26	9	academicians	academician	NOUN
cana-827	26	10	,	,	PUNCT
cana-827	26	11	policy	policy	NOUN
cana-827	26	12	makers	maker	NOUN
cana-827	26	13	,	,	PUNCT
cana-827	26	14	experts	expert	NOUN
cana-827	26	15	,	,	PUNCT
cana-827	26	16	and	and	CCONJ
cana-827	26	17	other	other	ADJ
cana-827	26	18	decision	decision	NOUN
cana-827	26	19	-	-	PUNCT
cana-827	26	20	makers	maker	NOUN
cana-827	26	21	,	,	PUNCT
cana-827	26	22	who	who	PRON
cana-827	26	23	are	be	AUX
cana-827	26	24	engaged	engage	VERB
cana-827	26	25	in	in	ADP
cana-827	26	26	designing	design	VERB
cana-827	26	27	and	and	CCONJ
cana-827	26	28	implementing	implement	VERB
cana-827	26	29	intelligent	intelligent	ADJ
cana-827	26	30	drone	drone	NOUN
cana-827	26	31	surveillance	surveillance	NOUN
cana-827	26	32	systems	system	NOUN
cana-827	26	33	.	.	PUNCT
cana-827	27	1	swot	swot	PROPN
cana-827	27	2	analysis	analysis	NOUN
cana-827	27	3	will	will	AUX
cana-827	27	4	help	help	VERB
cana-827	27	5	stakeholders	stakeholder	NOUN
cana-827	27	6	to	to	PART
cana-827	27	7	identify	identify	VERB
cana-827	27	8	and	and	CCONJ
cana-827	27	9	pick	pick	VERB
cana-827	27	10	the	the	DET
cana-827	27	11	best	good	ADJ
cana-827	27	12	algorithm	algorithm	NOUN
cana-827	27	13	for	for	ADP
cana-827	27	14	the	the	DET
cana-827	27	15	improved	improved	ADJ
cana-827	27	16	advancement	advancement	NOUN
cana-827	27	17	of	of	ADP
cana-827	27	18	systems	system	NOUN
cana-827	27	19	regarding	regard	VERB
cana-827	27	20	working	work	VERB
cana-827	27	21	strategies	strategy	NOUN
cana-827	27	22	of	of	ADP
cana-827	27	23	drone	drone	NOUN
cana-827	27	24	surveillance	surveillance	NOUN
cana-827	27	25	applications	application	NOUN
cana-827	27	26	if	if	SCONJ
cana-827	27	27	a	a	DET
cana-827	27	28	clear	clear	ADJ
cana-827	27	29	understanding	understanding	NOUN
cana-827	27	30	of	of	ADP
cana-827	27	31	swarm	swarm	NOUN
cana-827	27	32	intelligence	intelligence	NOUN
cana-827	27	33	algorithms	algorithm	NOUN
cana-827	27	34	’	'	PUNCT
cana-827	27	35	efficiency	efficiency	NOUN
cana-827	27	36	and	and	CCONJ
cana-827	27	37	limitations	limitation	NOUN
cana-827	27	38	exists	exist	VERB
cana-827	27	39	.	.	PUNCT
cana-827	28	1	2	2	X
cana-827	28	2	.	.	X
cana-827	28	3	literature	literature	NOUN
cana-827	28	4	review	review	VERB
cana-827	28	5	2.1	2.1	NUM
cana-827	28	6	.	.	PUNCT
cana-827	29	1	definition	definition	NOUN
cana-827	29	2	of	of	ADP
cana-827	29	3	swarm	swarm	NOUN
cana-827	29	4	intelligence	intelligence	NOUN
cana-827	29	5	and	and	CCONJ
cana-827	29	6	it	it	PRON
cana-827	29	7	’s	’	VERB
cana-827	29	8	applications	application	NOUN
cana-827	29	9	:	:	PUNCT
cana-827	29	10	“	"	PUNCT
cana-827	29	11	swarm	swarm	NOUN
cana-827	29	12	intelligence	intelligence	NOUN
cana-827	29	13	(	(	PUNCT
cana-827	29	14	si	si	X
cana-827	29	15	)	)	PUNCT
cana-827	29	16	is	be	AUX
cana-827	29	17	the	the	DET
cana-827	29	18	collective	collective	ADJ
cana-827	29	19	behaviour	behaviour	NOUN
cana-827	29	20	of	of	ADP
cana-827	29	21	autonomous	autonomous	ADJ
cana-827	29	22	,	,	PUNCT
cana-827	29	23	decentralised	decentralised	ADJ
cana-827	29	24	systems	system	NOUN
cana-827	29	25	,	,	PUNCT
cana-827	29	26	whether	whether	SCONJ
cana-827	29	27	artificial	artificial	ADJ
cana-827	29	28	or	or	CCONJ
cana-827	29	29	natural	natural	ADJ
cana-827	29	30	.	.	PUNCT
cana-827	30	1	most	most	ADJ
cana-827	30	2	si	si	PROPN
cana-827	30	3	systems	system	NOUN
cana-827	30	4	consist	consist	VERB
cana-827	30	5	of	of	ADP
cana-827	30	6	a	a	DET
cana-827	30	7	population	population	NOUN
cana-827	30	8	of	of	ADP
cana-827	30	9	basic	basic	ADJ
cana-827	30	10	agents	agent	NOUN
cana-827	30	11	that	that	PRON
cana-827	30	12	interact	interact	VERB
cana-827	30	13	locally	locally	ADV
cana-827	30	14	with	with	ADP
cana-827	30	15	one	one	NUM
cana-827	30	16	other	other	ADJ
cana-827	30	17	and	and	CCONJ
cana-827	30	18	their	their	PRON
cana-827	30	19	surroundings	surrounding	NOUN
cana-827	30	20	.	.	PUNCT
cana-827	31	1	biological	biological	ADJ
cana-827	31	2	systems	system	NOUN
cana-827	31	3	in	in	ADP
cana-827	31	4	particular	particular	ADJ
cana-827	31	5	are	be	AUX
cana-827	31	6	often	often	ADV
cana-827	31	7	a	a	DET
cana-827	31	8	source	source	NOUN
cana-827	31	9	of	of	ADP
cana-827	31	10	inspiration	inspiration	NOUN
cana-827	31	11	in	in	ADP
cana-827	31	12	nature	nature	NOUN
cana-827	31	13	.	.	PUNCT
cana-827	32	1	local	local	ADJ
cana-827	32	2	and	and	CCONJ
cana-827	32	3	somewhat	somewhat	ADV
cana-827	32	4	random	random	ADJ
cana-827	32	5	interactions	interaction	NOUN
cana-827	32	6	between	between	ADP
cana-827	32	7	such	such	ADJ
cana-827	32	8	agents	agent	NOUN
cana-827	32	9	result	result	VERB
cana-827	32	10	in	in	ADP
cana-827	32	11	the	the	DET
cana-827	32	12	production	production	NOUN
cana-827	32	13	of	of	ADP
cana-827	32	14	"	"	PUNCT
cana-827	32	15	intelligent	intelligent	ADJ
cana-827	32	16	"	"	PUNCT
cana-827	32	17	global	global	ADJ
cana-827	32	18	behaviour	behaviour	NOUN
cana-827	32	19	that	that	PRON
cana-827	32	20	is	be	AUX
cana-827	32	21	unknown	unknown	ADJ
cana-827	32	22	to	to	ADP
cana-827	32	23	the	the	DET
cana-827	32	24	individual	individual	ADJ
cana-827	32	25	agents	agent	NOUN
cana-827	32	26	,	,	PUNCT
cana-827	32	27	despite	despite	SCONJ
cana-827	32	28	the	the	DET
cana-827	32	29	lack	lack	NOUN
cana-827	32	30	of	of	ADP
cana-827	32	31	a	a	DET
cana-827	32	32	centralised	centralised	ADJ
cana-827	32	33	structure	structure	NOUN
cana-827	32	34	dictating	dictate	VERB
cana-827	32	35	how	how	SCONJ
cana-827	32	36	they	they	PRON
cana-827	32	37	should	should	AUX
cana-827	32	38	behave	behave	VERB
cana-827	32	39	.	.	PUNCT
cana-827	33	1	the	the	DET
cana-827	33	2	agents	agent	NOUN
cana-827	33	3	operate	operate	VERB
cana-827	33	4	on	on	ADP
cana-827	33	5	extremely	extremely	ADV
cana-827	33	6	basic	basic	ADJ
cana-827	33	7	precepts	precept	NOUN
cana-827	33	8	.	.	PUNCT
cana-827	34	1	examples	example	NOUN
cana-827	34	2	of	of	ADP
cana-827	34	3	si	si	PROPN
cana-827	34	4	in	in	ADP
cana-827	34	5	nature	nature	NOUN
cana-827	34	6	include	include	VERB
cana-827	34	7	ant	ant	ADJ
cana-827	34	8	colonies	colony	NOUN
cana-827	34	9	,	,	PUNCT
cana-827	34	10	bird	bird	NOUN
cana-827	34	11	flocking	flocking	NOUN
cana-827	34	12	,	,	PUNCT
cana-827	34	13	mammal	mammal	ADJ
cana-827	34	14	herding	herding	NOUN
cana-827	34	15	,	,	PUNCT
cana-827	34	16	bacterial	bacterial	ADJ
cana-827	34	17	development	development	NOUN
cana-827	34	18	,	,	PUNCT
cana-827	34	19	and	and	CCONJ
cana-827	34	20	fish	fish	VERB
cana-827	34	21	schooling[1	schooling[1	PROPN
cana-827	34	22	]	]	PUNCT
cana-827	34	23	”	"	PUNCT
cana-827	34	24	.	.	PUNCT
cana-827	35	1	system	system	NOUN
cana-827	35	2	si	si	PROPN
cana-827	35	3	research	research	PROPN
cana-827	35	4	was	be	AUX
cana-827	35	5	formerly	formerly	ADV
cana-827	35	6	realized	realize	VERB
cana-827	35	7	in	in	ADP
cana-827	35	8	late	late	ADJ
cana-827	35	9	1980	1980	NUM
cana-827	35	10	’s	’s	NOUN
cana-827	35	11	.	.	PUNCT
cana-827	36	1	apart	apart	ADV
cana-827	36	2	from	from	ADP
cana-827	36	3	its	its	PRON
cana-827	36	4	application	application	NOUN
cana-827	36	5	in	in	ADP
cana-827	36	6	conventional	conventional	ADJ
cana-827	36	7	optimisation	optimisation	NOUN
cana-827	36	8	issues	issue	NOUN
cana-827	36	9	,	,	PUNCT
cana-827	36	10	si	si	PROPN
cana-827	36	11	finds	find	VERB
cana-827	36	12	its	its	PRON
cana-827	36	13	usage	usage	NOUN
cana-827	36	14	in	in	ADP
cana-827	36	15	the	the	DET
cana-827	36	16	following	follow	VERB
cana-827	36	17	domains	domain	NOUN
cana-827	36	18	:	:	PUNCT
cana-827	36	19	control	control	NOUN
cana-827	36	20	,	,	PUNCT
cana-827	36	21	scheduling	scheduling	NOUN
cana-827	36	22	,	,	PUNCT
cana-827	36	23	signal	signal	NOUN
cana-827	36	24	transmission	transmission	NOUN
cana-827	36	25	,	,	PUNCT
cana-827	36	26	medical	medical	ADJ
cana-827	36	27	dataset	dataset	NOUN
cana-827	36	28	categorization	categorization	NOUN
cana-827	36	29	,	,	PUNCT
cana-827	36	30	heating	heating	NOUN
cana-827	36	31	system	system	NOUN
cana-827	36	32	design	design	NOUN
cana-827	36	33	,	,	PUNCT
cana-827	36	34	library	library	NOUN
cana-827	36	35	order	order	NOUN
cana-827	36	36	update	update	NOUN
cana-827	36	37	,	,	PUNCT
cana-827	36	38	object	object	VERB
cana-827	36	39	tracking	tracking	NOUN
cana-827	36	40	identification	identification	NOUN
cana-827	36	41	and	and	CCONJ
cana-827	36	42	prediction	prediction	NOUN
cana-827	36	43	of	of	ADP
cana-827	36	44	moving	move	VERB
cana-827	36	45	objects	object	NOUN
cana-827	36	46	,	,	PUNCT
cana-827	36	47	the	the	DET
cana-827	36	48	fields	field	NOUN
cana-827	36	49	where	where	SCONJ
cana-827	36	50	si	si	PROPN
cana-827	36	51	has	have	VERB
cana-827	36	52	its	its	PRON
cana-827	36	53	application	application	NOUN
cana-827	36	54	are	be	AUX
cana-827	36	55	numerous	numerous	ADJ
cana-827	36	56	,	,	PUNCT
cana-827	36	57	and	and	CCONJ
cana-827	36	58	some	some	PRON
cana-827	36	59	of	of	ADP
cana-827	36	60	the	the	DET
cana-827	36	61	popular	popular	ADJ
cana-827	36	62	ones	one	NOUN
cana-827	36	63	are	be	AUX
cana-827	36	64	business	business	NOUN
cana-827	36	65	,	,	PUNCT
cana-827	36	66	social	social	ADJ
cana-827	36	67	sciences	science	NOUN
cana-827	36	68	,	,	PUNCT
cana-827	36	69	basic	basic	ADJ
cana-827	36	70	research	research	NOUN
cana-827	36	71	engineering	engineering	NOUN
cana-827	36	72	and	and	CCONJ
cana-827	36	73	many	many	ADJ
cana-827	36	74	others	other	NOUN
cana-827	36	75	.	.	PUNCT
cana-827	37	1	2.1.1	2.1.1	X
cana-827	37	2	.	.	PUNCT
cana-827	37	3	applications	application	NOUN
cana-827	37	4	:	:	PUNCT
cana-827	37	5	1	1	X
cana-827	37	6	.	.	X
cana-827	38	1	in	in	ADP
cana-827	38	2	a	a	DET
cana-827	38	3	study	study	NOUN
cana-827	38	4	by	by	ADP
cana-827	38	5	y.-l	y.-l	NOUN
cana-827	38	6	.	.	PUNCT
cana-827	39	1	wu	wu	PROPN
cana-827	39	2	and	and	CCONJ
cana-827	39	3	colleagues	colleague	NOUN
cana-827	39	4	from	from	ADP
cana-827	39	5	national	national	PROPN
cana-827	39	6	chiao	chiao	PROPN
cana-827	39	7	tung	tung	PROPN
cana-827	39	8	university	university	PROPN
cana-827	39	9	and	and	CCONJ
cana-827	39	10	ming	ming	PROPN
cana-827	39	11	chuan	chuan	PROPN
cana-827	39	12	university[2	university[2	PROPN
cana-827	39	13	]	]	PUNCT
cana-827	39	14	,	,	PUNCT
cana-827	39	15	“	"	PUNCT
cana-827	39	16	an	an	DET
cana-827	39	17	integer	integer	NOUN
cana-827	39	18	programming	programming	NOUN
cana-827	39	19	model	model	NOUN
cana-827	39	20	is	be	AUX
cana-827	39	21	presented	present	VERB
cana-827	39	22	,	,	PUNCT
cana-827	39	23	focusing	focus	VERB
cana-827	39	24	on	on	ADP
cana-827	39	25	the	the	DET
cana-827	39	26	selection	selection	NOUN
cana-827	39	27	of	of	ADP
cana-827	39	28	materials	material	NOUN
cana-827	39	29	to	to	PART
cana-827	39	30	optimize	optimize	VERB
cana-827	39	31	average	average	ADJ
cana-827	39	32	preference	preference	NOUN
cana-827	39	33	while	while	SCONJ
cana-827	39	34	adhering	adhere	VERB
cana-827	39	35	to	to	ADP
cana-827	39	36	budget	budget	NOUN
cana-827	39	37	constraints	constraint	NOUN
cana-827	39	38	.	.	PUNCT
cana-827	40	1	practical	practical	ADJ
cana-827	40	2	limitations	limitation	NOUN
cana-827	40	3	,	,	PUNCT
cana-827	40	4	including	include	VERB
cana-827	40	5	departmental	departmental	ADJ
cana-827	40	6	budget	budget	NOUN
cana-827	40	7	caps	cap	NOUN
cana-827	40	8	and	and	CCONJ
cana-827	40	9	product	product	NOUN
cana-827	40	10	category	category	NOUN
cana-827	40	11	restrictions	restriction	NOUN
cana-827	40	12	,	,	PUNCT
cana-827	40	13	are	be	AUX
cana-827	40	14	considered	consider	VERB
cana-827	40	15	.	.	PUNCT
cana-827	41	1	the	the	DET
cana-827	41	2	study	study	NOUN
cana-827	41	3	suggests	suggest	VERB
cana-827	41	4	employing	employ	VERB
cana-827	41	5	scout	scout	NOUN
cana-827	41	6	particles	particle	NOUN
cana-827	41	7	within	within	ADP
cana-827	41	8	a	a	DET
cana-827	41	9	discrete	discrete	ADJ
cana-827	41	10	particle	particle	NOUN
cana-827	41	11	swarm	swarm	NOUN
cana-827	41	12	optimization	optimization	NOUN
cana-827	41	13	(	(	PUNCT
cana-827	41	14	dpso	dpso	NOUN
cana-827	41	15	)	)	PUNCT
cana-827	41	16	framework	framework	NOUN
cana-827	41	17	.	.	PUNCT
cana-827	42	1	to	to	PART
cana-827	42	2	address	address	VERB
cana-827	42	3	constraints	constraint	NOUN
cana-827	42	4	,	,	PUNCT
cana-827	42	5	the	the	DET
cana-827	42	6	researchers	researcher	NOUN
cana-827	42	7	developed	develop	VERB
cana-827	42	8	an	an	DET
cana-827	42	9	initialization	initialization	NOUN
cana-827	42	10	algorithm	algorithm	NOUN
cana-827	42	11	and	and	CCONJ
cana-827	42	12	a	a	DET
cana-827	42	13	penalty	penalty	NOUN
cana-827	42	14	function	function	NOUN
cana-827	42	15	.	.	PUNCT
cana-827	43	1	these	these	DET
cana-827	43	2	innovations	innovation	NOUN
cana-827	43	3	leverage	leverage	VERB
cana-827	43	4	scout	scout	NOUN
cana-827	43	5	particles	particle	NOUN
cana-827	43	6	to	to	PART
cana-827	43	7	enhance	enhance	VERB
cana-827	43	8	exploration	exploration	NOUN
cana-827	43	9	of	of	ADP
cana-827	43	10	the	the	DET
cana-827	43	11	solution	solution	NOUN
cana-827	43	12	space	space	NOUN
cana-827	43	13	”	"	PUNCT
cana-827	43	14	.	.	PUNCT
cana-827	44	1	communications	communication	NOUN
cana-827	44	2	on	on	ADP
cana-827	44	3	applied	apply	VERB
cana-827	44	4	nonlinear	nonlinear	ADJ
cana-827	44	5	analysis	analysis	NOUN
cana-827	44	6	issn	issn	NOUN
cana-827	44	7	:	:	PUNCT
cana-827	44	8	1074	1074	NUM
cana-827	44	9	-	-	PUNCT
cana-827	44	10	133x	133x	NUM
cana-827	44	11	vol	vol	NOUN
cana-827	44	12	31	31	NUM
cana-827	44	13	no	no	NOUN
cana-827	44	14	.	.	PUNCT
cana-827	45	1	4s	4s	NUM
cana-827	45	2	(	(	PUNCT
cana-827	45	3	2024	2024	NUM
cana-827	45	4	)	)	PUNCT
cana-827	45	5	25	25	NUM
cana-827	45	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	45	7	2	2	NUM
cana-827	45	8	.	.	PUNCT
cana-827	45	9	z.	z.	PROPN
cana-827	45	10	yin	yin	PROPN
cana-827	45	11	and	and	CCONJ
cana-827	45	12	associates	associate	NOUN
cana-827	45	13	at	at	ADP
cana-827	45	14	harbin	harbin	PROPN
cana-827	45	15	institute	institute	PROPN
cana-827	45	16	of	of	ADP
cana-827	45	17	technology	technology	PROPN
cana-827	45	18	applied	apply	VERB
cana-827	45	19	“	"	PUNCT
cana-827	45	20	the	the	DET
cana-827	45	21	proposed	propose	VERB
cana-827	45	22	algorithm	algorithm	NOUN
cana-827	45	23	to	to	PART
cana-827	45	24	directsequence	directsequence	VERB
cana-827	45	25	ultrawideband	ultrawideband	NOUN
cana-827	45	26	(	(	PUNCT
cana-827	45	27	dsuwb	dsuwb	NOUN
cana-827	45	28	)	)	PUNCT
cana-827	45	29	systems	system	NOUN
cana-827	45	30	in	in	ADP
cana-827	45	31	the	the	DET
cana-827	45	32	presence	presence	NOUN
cana-827	45	33	of	of	ADP
cana-827	45	34	additive	additive	ADJ
cana-827	45	35	white	white	ADJ
cana-827	45	36	gaussian	gaussian	PROPN
cana-827	45	37	noise	noise	NOUN
cana-827	45	38	(	(	PUNCT
cana-827	45	39	awgn	awgn	NOUN
cana-827	45	40	)	)	PUNCT
cana-827	45	41	using	use	VERB
cana-827	45	42	the	the	DET
cana-827	45	43	artificial	artificial	ADJ
cana-827	45	44	bee	bee	NOUN
cana-827	45	45	colony	colony	NOUN
cana-827	45	46	algorithm	algorithm	NOUN
cana-827	45	47	(	(	PUNCT
cana-827	45	48	scm	scm	PROPN
cana-827	45	49	-	-	PUNCT
cana-827	45	50	abc	abc	PROPN
cana-827	45	51	-	-	PUNCT
cana-827	45	52	mud	mud	NOUN
cana-827	45	53	)	)	PUNCT
cana-827	45	54	and	and	CCONJ
cana-827	45	55	a	a	DET
cana-827	45	56	suboptimal	suboptimal	ADJ
cana-827	45	57	code	code	NOUN
cana-827	45	58	mapping	mapping	NOUN
cana-827	45	59	multiuser	multiuser	NOUN
cana-827	45	60	detector	detector	NOUN
cana-827	45	61	(	(	PUNCT
cana-827	45	62	scm	scm	PROPN
cana-827	45	63	-	-	PUNCT
cana-827	45	64	abc	abc	PROPN
cana-827	45	65	-	-	PUNCT
cana-827	45	66	mud)[3	mud)[3	NOUN
cana-827	45	67	]	]	PUNCT
cana-827	45	68	”	"	PUNCT
cana-827	45	69	.	.	PUNCT
cana-827	46	1	3	3	X
cana-827	46	2	.	.	X
cana-827	46	3	the	the	DET
cana-827	46	4	paper	paper	NOUN
cana-827	46	5	by	by	ADP
cana-827	46	6	y.	y.	PROPN
cana-827	46	7	celik	celik	PROPN
cana-827	46	8	from	from	ADP
cana-827	46	9	karamanoglu	karamanoglu	PROPN
cana-827	46	10	mehmetbey	mehmetbey	PROPN
cana-827	46	11	university	university	PROPN
cana-827	46	12	and	and	CCONJ
cana-827	46	13	e.	e.	PROPN
cana-827	46	14	ulker	ulker	PROPN
cana-827	46	15	from	from	ADP
cana-827	46	16	selcuk	selcuk	PROPN
cana-827	46	17	university	university	NOUN
cana-827	46	18	presents	present	VERB
cana-827	46	19	time	time	NOUN
cana-827	46	20	advancements	advancement	NOUN
cana-827	46	21	to	to	ADP
cana-827	46	22	honey	honey	PROPN
cana-827	46	23	bee	bee	PROPN
cana-827	46	24	optimization	optimization	NOUN
cana-827	46	25	process	process	NOUN
cana-827	46	26	through	through	ADP
cana-827	46	27	the	the	DET
cana-827	46	28	incorporation	incorporation	NOUN
cana-827	46	29	of	of	ADP
cana-827	46	30	levy	levy	NOUN
cana-827	46	31	flights	flight	NOUN
cana-827	46	32	to	to	ADP
cana-827	46	33	queen	queen	NOUN
cana-827	46	34	mating	mating	NOUN
cana-827	46	35	flights	flight	NOUN
cana-827	46	36	,	,	PUNCT
cana-827	46	37	enhancement	enhancement	NOUN
cana-827	46	38	to	to	ADP
cana-827	46	39	worker	worker	NOUN
cana-827	46	40	drones	drone	NOUN
cana-827	46	41	.	.	PUNCT
cana-827	47	1	the	the	DET
cana-827	47	2	usefulness	usefulness	NOUN
cana-827	47	3	and	and	CCONJ
cana-827	47	4	efficiency	efficiency	NOUN
cana-827	47	5	of	of	ADP
cana-827	47	6	imbo	imbo	NOUN
cana-827	47	7	is	be	AUX
cana-827	47	8	examined	examine	VERB
cana-827	47	9	trough	trough	ADP
cana-827	47	10	seven	seven	NUM
cana-827	47	11	established	establish	VERB
cana-827	47	12	unconstrained	unconstrained	ADJ
cana-827	47	13	benchmarks	benchmark	NOUN
cana-827	47	14	,	,	PUNCT
cana-827	47	15	and	and	CCONJ
cana-827	47	16	then	then	ADV
cana-827	47	17	contrasted	contrast	VERB
cana-827	47	18	with	with	ADP
cana-827	47	19	other	other	ADJ
cana-827	47	20	meta	meta	ADJ
cana-827	47	21	heuristic	heuristic	ADJ
cana-827	47	22	optimization	optimization	NOUN
cana-827	47	23	methods[4	methods[4	PROPN
cana-827	47	24	]	]	PUNCT
cana-827	47	25	.	.	PUNCT
cana-827	48	1	4	4	X
cana-827	48	2	.	.	X
cana-827	48	3	m.	m.	NOUN
cana-827	48	4	karakose	karakose	PROPN
cana-827	48	5	from	from	ADP
cana-827	48	6	frat	frat	PROPN
cana-827	48	7	university	university	PROPN
cana-827	48	8	proposes	propose	VERB
cana-827	48	9	“	"	PUNCT
cana-827	48	10	a	a	DET
cana-827	48	11	reinforcement	reinforcement	NOUN
cana-827	48	12	learning	learning	NOUN
cana-827	48	13	-	-	PUNCT
cana-827	48	14	based	base	VERB
cana-827	48	15	artificial	artificial	ADJ
cana-827	48	16	immune	immune	ADJ
cana-827	48	17	classifier	classifier	NOUN
cana-827	48	18	.	.	PUNCT
cana-827	49	1	this	this	DET
cana-827	49	2	innovative	innovative	ADJ
cana-827	49	3	approach	approach	NOUN
cana-827	49	4	contributes	contribute	VERB
cana-827	49	5	significantly	significantly	ADV
cana-827	49	6	to	to	ADP
cana-827	49	7	efficiency	efficiency	NOUN
cana-827	49	8	,	,	PUNCT
cana-827	49	9	low	low	ADJ
cana-827	49	10	memory	memory	NOUN
cana-827	49	11	cell	cell	NOUN
cana-827	49	12	requirements	requirement	NOUN
cana-827	49	13	,	,	PUNCT
cana-827	49	14	high	high	ADJ
cana-827	49	15	accuracy	accuracy	NOUN
cana-827	49	16	,	,	PUNCT
cana-827	49	17	speed	speed	NOUN
cana-827	49	18	,	,	PUNCT
cana-827	49	19	and	and	CCONJ
cana-827	49	20	data	datum	NOUN
cana-827	49	21	adaptability	adaptability	NOUN
cana-827	49	22	.	.	PUNCT
cana-827	50	1	experimental	experimental	ADJ
cana-827	50	2	validation	validation	NOUN
cana-827	50	3	is	be	AUX
cana-827	50	4	conducted	conduct	VERB
cana-827	50	5	using	use	VERB
cana-827	50	6	a	a	DET
cana-827	50	7	small	small	ADJ
cana-827	50	8	amount	amount	NOUN
cana-827	50	9	of	of	ADP
cana-827	50	10	remote	remote	ADJ
cana-827	50	11	imaging	imaging	NOUN
cana-827	50	12	data	datum	NOUN
cana-827	50	13	and	and	CCONJ
cana-827	50	14	benchmark	benchmark	NOUN
cana-827	50	15	data	datum	NOUN
cana-827	50	16	.	.	PUNCT
cana-827	51	1	comparative	comparative	ADJ
cana-827	51	2	results	result	NOUN
cana-827	51	3	against	against	ADP
cana-827	51	4	other	other	ADJ
cana-827	51	5	methods	method	NOUN
cana-827	51	6	,	,	PUNCT
cana-827	51	7	including	include	VERB
cana-827	51	8	supervised	supervise	VERB
cana-827	51	9	/	/	SYM
cana-827	51	10	unsupervised	unsupervised	ADJ
cana-827	51	11	-	-	PUNCT
cana-827	51	12	based	base	VERB
cana-827	51	13	artificial	artificial	ADJ
cana-827	51	14	immune	immune	ADJ
cana-827	51	15	systems	system	NOUN
cana-827	51	16	,	,	PUNCT
cana-827	51	17	negative	negative	ADJ
cana-827	51	18	selection	selection	NOUN
cana-827	51	19	classifiers	classifier	NOUN
cana-827	51	20	,	,	PUNCT
cana-827	51	21	and	and	CCONJ
cana-827	51	22	resource	resource	NOUN
cana-827	51	23	-	-	PUNCT
cana-827	51	24	limited	limit	VERB
cana-827	51	25	artificial	artificial	ADJ
cana-827	51	26	immune	immune	ADJ
cana-827	51	27	classifiers	classifier	NOUN
cana-827	51	28	,	,	PUNCT
cana-827	51	29	underscore	underscore	VERB
cana-827	51	30	the	the	DET
cana-827	51	31	effectiveness	effectiveness	NOUN
cana-827	51	32	of	of	ADP
cana-827	51	33	this	this	DET
cana-827	51	34	novel	novel	ADJ
cana-827	51	35	approach	approach	NOUN
cana-827	51	36	”	"	PUNCT
cana-827	51	37	.	.	PUNCT
cana-827	52	1	2.2	2.2	NUM
cana-827	52	2	.	.	PUNCT
cana-827	52	3	examining	examine	VERB
cana-827	52	4	the	the	DET
cana-827	52	5	use	use	NOUN
cana-827	52	6	of	of	ADP
cana-827	52	7	swarm	swarm	NOUN
cana-827	52	8	intelligence	intelligence	NOUN
cana-827	52	9	algorithms	algorithm	NOUN
cana-827	52	10	in	in	ADP
cana-827	52	11	surveillance	surveillance	NOUN
cana-827	52	12	systems	system	NOUN
cana-827	52	13	due	due	ADP
cana-827	52	14	to	to	ADP
cana-827	52	15	such	such	ADJ
cana-827	52	16	high	high	ADJ
cana-827	52	17	potential	potential	NOUN
cana-827	52	18	,	,	PUNCT
cana-827	52	19	swarm	swarm	NOUN
cana-827	52	20	intelligence	intelligence	NOUN
cana-827	52	21	algorithms	algorithm	NOUN
cana-827	52	22	have	have	AUX
cana-827	52	23	been	be	AUX
cana-827	52	24	admired	admire	VERB
cana-827	52	25	for	for	ADP
cana-827	52	26	their	their	PRON
cana-827	52	27	contribution	contribution	NOUN
cana-827	52	28	towards	towards	ADP
cana-827	52	29	making	make	VERB
cana-827	52	30	surveillance	surveillance	NOUN
cana-827	52	31	tasks	task	NOUN
cana-827	52	32	smarter	smart	ADJ
cana-827	52	33	and	and	CCONJ
cana-827	52	34	more	more	ADV
cana-827	52	35	efficient	efficient	ADJ
cana-827	52	36	.	.	PUNCT
cana-827	53	1	swarm	swarm	NOUN
cana-827	53	2	intelligence	intelligence	NOUN
cana-827	53	3	refers	refer	VERB
cana-827	53	4	to	to	ADP
cana-827	53	5	the	the	DET
cana-827	53	6	ability	ability	NOUN
cana-827	53	7	of	of	ADP
cana-827	53	8	the	the	DET
cana-827	53	9	decomposition	decomposition	NOUN
cana-827	53	10	in	in	ADP
cana-827	53	11	self	self	NOUN
cana-827	53	12	organizing	organize	VERB
cana-827	53	13	collaborative	collaborative	ADJ
cana-827	53	14	agents	agent	NOUN
cana-827	53	15	and	and	CCONJ
cana-827	53	16	it	it	PRON
cana-827	53	17	is	be	AUX
cana-827	53	18	based	base	VERB
cana-827	53	19	on	on	ADP
cana-827	53	20	the	the	DET
cana-827	53	21	observation	observation	NOUN
cana-827	53	22	of	of	ADP
cana-827	53	23	natural	natural	ADJ
cana-827	53	24	systems	system	NOUN
cana-827	53	25	such	such	ADJ
cana-827	53	26	as	as	ADP
cana-827	53	27	a	a	DET
cana-827	53	28	flock	flock	NOUN
cana-827	53	29	of	of	ADP
cana-827	53	30	birds	bird	NOUN
cana-827	53	31	,	,	PUNCT
cana-827	53	32	schools	school	NOUN
cana-827	53	33	of	of	ADP
cana-827	53	34	fish	fish	NOUN
cana-827	53	35	and	and	CCONJ
cana-827	53	36	anthills	anthill	NOUN
cana-827	53	37	.	.	PUNCT
cana-827	54	1	these	these	DET
cana-827	54	2	algorithms	algorithm	NOUN
cana-827	54	3	solve	solve	VERB
cana-827	54	4	complex	complex	ADJ
cana-827	54	5	issues	issue	NOUN
cana-827	54	6	with	with	ADP
cana-827	54	7	the	the	DET
cana-827	54	8	help	help	NOUN
cana-827	54	9	of	of	ADP
cana-827	54	10	emergent	emergent	ADJ
cana-827	54	11	structures	structure	NOUN
cana-827	54	12	,	,	PUNCT
cana-827	54	13	collaboration	collaboration	NOUN
cana-827	54	14	,	,	PUNCT
cana-827	54	15	and	and	CCONJ
cana-827	54	16	interaction	interaction	NOUN
cana-827	54	17	.	.	PUNCT
cana-827	55	1	swarm	swarm	NOUN
cana-827	55	2	intelligence	intelligence	NOUN
cana-827	55	3	algorithms	algorithm	NOUN
cana-827	55	4	provide	provide	VERB
cana-827	55	5	various	various	ADJ
cana-827	55	6	benefits	benefit	NOUN
cana-827	55	7	for	for	ADP
cana-827	55	8	surveillance	surveillance	NOUN
cana-827	55	9	systems	system	NOUN
cana-827	55	10	.	.	PUNCT
cana-827	56	1	first	first	ADV
cana-827	56	2	,	,	PUNCT
cana-827	56	3	they	they	PRON
cana-827	56	4	provide	provide	VERB
cana-827	56	5	dispersed	disperse	VERB
cana-827	56	6	information	information	NOUN
cana-827	56	7	processing	processing	NOUN
cana-827	56	8	and	and	CCONJ
cana-827	56	9	cooperative	cooperative	ADJ
cana-827	56	10	decision	decision	NOUN
cana-827	56	11	-	-	PUNCT
cana-827	56	12	making	making	NOUN
cana-827	56	13	among	among	ADP
cana-827	56	14	numerous	numerous	ADJ
cana-827	56	15	agents	agent	NOUN
cana-827	56	16	,	,	PUNCT
cana-827	56	17	including	include	VERB
cana-827	56	18	drones	drone	NOUN
cana-827	56	19	or	or	CCONJ
cana-827	56	20	sensors	sensor	NOUN
cana-827	56	21	,	,	PUNCT
cana-827	56	22	which	which	PRON
cana-827	56	23	enhances	enhance	VERB
cana-827	56	24	situational	situational	ADJ
cana-827	56	25	awareness	awareness	NOUN
cana-827	56	26	and	and	CCONJ
cana-827	56	27	coverage	coverage	NOUN
cana-827	56	28	.	.	PUNCT
cana-827	57	1	cooperative	cooperative	ADJ
cana-827	57	2	sensing	sensing	NOUN
cana-827	57	3	,	,	PUNCT
cana-827	57	4	data	datum	NOUN
cana-827	57	5	fusion	fusion	NOUN
cana-827	57	6	,	,	PUNCT
cana-827	57	7	and	and	CCONJ
cana-827	57	8	distributed	distribute	VERB
cana-827	57	9	decision	decision	NOUN
cana-827	57	10	-	-	PUNCT
cana-827	57	11	making	making	NOUN
cana-827	57	12	can	can	AUX
cana-827	57	13	be	be	AUX
cana-827	57	14	facilitated	facilitate	VERB
cana-827	57	15	by	by	ADP
cana-827	57	16	swarm	swarm	NOUN
cana-827	57	17	intelligence	intelligence	NOUN
cana-827	57	18	algorithms	algorithm	NOUN
cana-827	57	19	,	,	PUNCT
cana-827	57	20	allowing	allow	VERB
cana-827	57	21	surveillance	surveillance	NOUN
cana-827	57	22	systems	system	NOUN
cana-827	57	23	to	to	PART
cana-827	57	24	effectively	effectively	ADV
cana-827	57	25	monitor	monitor	VERB
cana-827	57	26	wide	wide	ADJ
cana-827	57	27	area	area	NOUN
cana-827	57	28	or	or	CCONJ
cana-827	57	29	track	track	VERB
cana-827	57	30	several	several	ADJ
cana-827	57	31	targets	target	NOUN
cana-827	57	32	at	at	ADP
cana-827	57	33	once	once	ADV
cana-827	57	34	.	.	PUNCT
cana-827	58	1	based	base	VERB
cana-827	58	2	on	on	ADP
cana-827	58	3	their	their	PRON
cana-827	58	4	traits	trait	NOUN
cana-827	58	5	and	and	CCONJ
cana-827	58	6	uses	use	NOUN
cana-827	58	7	,	,	PUNCT
cana-827	58	8	swarm	swarm	NOUN
cana-827	58	9	intelligence	intelligence	NOUN
cana-827	58	10	algorithms	algorithm	NOUN
cana-827	58	11	used	use	VERB
cana-827	58	12	in	in	ADP
cana-827	58	13	surveillance	surveillance	NOUN
cana-827	58	14	systems	system	NOUN
cana-827	58	15	can	can	AUX
cana-827	58	16	be	be	AUX
cana-827	58	17	divided	divide	VERB
cana-827	58	18	into	into	ADP
cana-827	58	19	various	various	ADJ
cana-827	58	20	groups	group	NOUN
cana-827	58	21	.	.	PUNCT
cana-827	59	1	swarm	swarm	NOUN
cana-827	59	2	intelligence	intelligence	NOUN
cana-827	59	3	algorithms	algorithm	NOUN
cana-827	59	4	that	that	PRON
cana-827	59	5	are	be	AUX
cana-827	59	6	often	often	ADV
cana-827	59	7	employed	employ	VERB
cana-827	59	8	include	include	VERB
cana-827	59	9	:	:	PUNCT
cana-827	59	10	2.2.1	2.2.1	NUM
cana-827	59	11	ant	ant	ADJ
cana-827	59	12	colony	colony	NOUN
cana-827	59	13	optimization	optimization	NOUN
cana-827	59	14	(	(	PUNCT
cana-827	59	15	aco	aco	PROPN
cana-827	59	16	):	):	PUNCT
cana-827	59	17	the	the	DET
cana-827	59	18	ant	ant	ADJ
cana-827	59	19	colony	colony	NOUN
cana-827	59	20	optimization	optimization	NOUN
cana-827	59	21	also	also	ADV
cana-827	59	22	referred	refer	VERB
cana-827	59	23	to	to	ADP
cana-827	59	24	as	as	SCONJ
cana-827	59	25	aco	aco	PROPN
cana-827	59	26	imitates	imitate	VERB
cana-827	59	27	several	several	ADJ
cana-827	59	28	of	of	ADP
cana-827	59	29	the	the	DET
cana-827	59	30	foraging	forage	VERB
cana-827	59	31	practices	practice	NOUN
cana-827	59	32	utilized	utilize	VERB
cana-827	59	33	by	by	ADP
cana-827	59	34	several	several	ADJ
cana-827	59	35	different	different	ADJ
cana-827	59	36	forms	form	NOUN
cana-827	59	37	of	of	ADP
cana-827	59	38	ants	ant	NOUN
cana-827	59	39	.	.	PUNCT
cana-827	60	1	this	this	PRON
cana-827	60	2	is	be	AUX
cana-827	60	3	a	a	DET
cana-827	60	4	concept	concept	NOUN
cana-827	60	5	taken	take	VERB
cana-827	60	6	from	from	ADP
cana-827	60	7	the	the	DET
cana-827	60	8	natural	natural	ADJ
cana-827	60	9	environment	environment	NOUN
cana-827	60	10	whereby	whereby	SCONJ
cana-827	60	11	ants	ant	NOUN
cana-827	60	12	put	put	VERB
cana-827	60	13	scent	scent	NOUN
cana-827	60	14	on	on	ADP
cana-827	60	15	the	the	DET
cana-827	60	16	floor	floor	NOUN
cana-827	60	17	or	or	CCONJ
cana-827	60	18	on	on	ADP
cana-827	60	19	the	the	DET
cana-827	60	20	ground	ground	NOUN
cana-827	60	21	that	that	PRON
cana-827	60	22	will	will	AUX
cana-827	60	23	assist	assist	VERB
cana-827	60	24	their	their	PRON
cana-827	60	25	colleague	colleague	NOUN
cana-827	60	26	ants	ant	NOUN
cana-827	60	27	to	to	PART
cana-827	60	28	choose	choose	VERB
cana-827	60	29	the	the	DET
cana-827	60	30	right	right	ADJ
cana-827	60	31	paths	path	NOUN
cana-827	60	32	to	to	PART
cana-827	60	33	take	take	VERB
cana-827	60	34	.	.	PUNCT
cana-827	61	1	biological	biological	ADJ
cana-827	61	2	systems	system	NOUN
cana-827	61	3	apply	apply	VERB
cana-827	61	4	this	this	PRON
cana-827	61	5	as	as	ADP
cana-827	61	6	one	one	NUM
cana-827	61	7	of	of	ADP
cana-827	61	8	the	the	DET
cana-827	61	9	most	most	ADV
cana-827	61	10	important	important	ADJ
cana-827	61	11	approaches	approach	NOUN
cana-827	61	12	,	,	PUNCT
cana-827	61	13	while	while	SCONJ
cana-827	61	14	aco	aco	PROPN
cana-827	61	15	copies	copy	NOUN
cana-827	61	16	from	from	ADP
cana-827	61	17	it	it	PRON
cana-827	61	18	with	with	ADP
cana-827	61	19	the	the	DET
cana-827	61	20	purpose	purpose	NOUN
cana-827	61	21	of	of	ADP
cana-827	61	22	solving	solve	VERB
cana-827	61	23	optimization	optimization	NOUN
cana-827	61	24	problems[6	problems[6	NOUN
cana-827	61	25	]	]	X
cana-827	61	26	.	.	PUNCT
cana-827	62	1	2.2.1.1	2.2.1.1	NUM
cana-827	62	2	.	.	PUNCT
cana-827	62	3	inspiration	inspiration	NOUN
cana-827	62	4	from	from	ADP
cana-827	62	5	life	life	NOUN
cana-827	62	6	pierre	pierre	NOUN
cana-827	62	7	-	-	PUNCT
cana-827	62	8	paul	paul	PROPN
cana-827	62	9	grasse	grasse	PROPN
cana-827	62	10	and	and	CCONJ
cana-827	62	11	stigmergy	stigmergy	NOUN
cana-827	62	12	:	:	PUNCT
cana-827	62	13	during	during	ADP
cana-827	62	14	the	the	DET
cana-827	62	15	1940s	1940	NOUN
cana-827	62	16	and	and	CCONJ
cana-827	62	17	1950s	1950	NOUN
cana-827	62	18	,	,	PUNCT
cana-827	62	19	the	the	DET
cana-827	62	20	renowned	renowned	ADJ
cana-827	62	21	french	french	ADJ
cana-827	62	22	entomologist	entomologist	NOUN
cana-827	62	23	pierre	pierre	PROPN
cana-827	62	24	-	-	PUNCT
cana-827	62	25	paul	paul	PROPN
cana-827	62	26	grasse	grasse	PROPN
cana-827	62	27	made	make	VERB
cana-827	62	28	a	a	DET
cana-827	62	29	significant	significant	ADJ
cana-827	62	30	discovery	discovery	NOUN
cana-827	62	31	regarding	regard	VERB
cana-827	62	32	the	the	DET
cana-827	62	33	behaviors	behavior	NOUN
cana-827	62	34	of	of	ADP
cana-827	62	35	certain	certain	ADJ
cana-827	62	36	termite	termite	ADJ
cana-827	62	37	species	specie	NOUN
cana-827	62	38	.	.	PUNCT
cana-827	63	1	grasse	grasse	PROPN
cana-827	63	2	,	,	PUNCT
cana-827	63	3	in	in	ADP
cana-827	63	4	his	his	PRON
cana-827	63	5	research[7	research[7	NOUN
cana-827	63	6	]	]	PUNCT
cana-827	63	7	,	,	PUNCT
cana-827	63	8	observed	observe	VERB
cana-827	63	9	that	that	SCONJ
cana-827	63	10	these	these	DET
cana-827	63	11	termites	termite	NOUN
cana-827	63	12	exhibited	exhibit	VERB
cana-827	63	13	responses	response	NOUN
cana-827	63	14	to	to	ADP
cana-827	63	15	what	what	PRON
cana-827	63	16	he	he	PRON
cana-827	63	17	termed	term	VERB
cana-827	63	18	"	"	PUNCT
cana-827	63	19	significant	significant	ADJ
cana-827	63	20	stimuli	stimulus	NOUN
cana-827	63	21	.	.	PUNCT
cana-827	63	22	"	"	PUNCT
cana-827	64	1	he	he	PRON
cana-827	64	2	posited	posit	VERB
cana-827	64	3	that	that	SCONJ
cana-827	64	4	these	these	DET
cana-827	64	5	responses	response	NOUN
cana-827	64	6	not	not	PART
cana-827	64	7	only	only	ADV
cana-827	64	8	influenced	influence	VERB
cana-827	64	9	the	the	DET
cana-827	64	10	behavior	behavior	NOUN
cana-827	64	11	of	of	ADP
cana-827	64	12	the	the	DET
cana-827	64	13	producing	produce	VERB
cana-827	64	14	beetle	beetle	NOUN
cana-827	64	15	but	but	CCONJ
cana-827	64	16	also	also	ADV
cana-827	64	17	had	have	VERB
cana-827	64	18	an	an	DET
cana-827	64	19	impact	impact	NOUN
cana-827	64	20	on	on	ADP
cana-827	64	21	other	other	ADJ
cana-827	64	22	insects	insect	NOUN
cana-827	64	23	within	within	ADP
cana-827	64	24	the	the	DET
cana-827	64	25	colony	colony	NOUN
cana-827	64	26	.	.	PUNCT
cana-827	65	1	to	to	PART
cana-827	65	2	describe	describe	VERB
cana-827	65	3	this	this	DET
cana-827	65	4	unique	unique	ADJ
cana-827	65	5	form	form	NOUN
cana-827	65	6	of	of	ADP
cana-827	65	7	communication	communication	NOUN
cana-827	65	8	,	,	PUNCT
cana-827	65	9	grasse	grasse	PROPN
cana-827	65	10	introduced	introduce	VERB
cana-827	65	11	the	the	DET
cana-827	65	12	term	term	NOUN
cana-827	65	13	"	"	PUNCT
cana-827	65	14	stigmergy	stigmergy	NOUN
cana-827	65	15	,	,	PUNCT
cana-827	65	16	"	"	PUNCT
cana-827	65	17	referring	refer	VERB
cana-827	65	18	to	to	ADP
cana-827	65	19	a	a	DET
cana-827	65	20	system	system	NOUN
cana-827	65	21	where	where	SCONJ
cana-827	65	22	"	"	PUNCT
cana-827	65	23	workers	worker	NOUN
cana-827	65	24	are	be	AUX
cana-827	65	25	stimulated	stimulate	VERB
cana-827	65	26	by	by	ADP
cana-827	65	27	the	the	DET
cana-827	65	28	performance	performance	NOUN
cana-827	65	29	they	they	PRON
cana-827	65	30	have	have	VERB
cana-827	65	31	achieved"[8	achieved"[8	NOUN
cana-827	65	32	]	]	PUNCT
cana-827	65	33	.	.	PUNCT
cana-827	66	1	communications	communication	NOUN
cana-827	66	2	on	on	ADP
cana-827	66	3	applied	apply	VERB
cana-827	66	4	nonlinear	nonlinear	ADJ
cana-827	66	5	analysis	analysis	NOUN
cana-827	66	6	issn	issn	NOUN
cana-827	66	7	:	:	PUNCT
cana-827	66	8	1074	1074	NUM
cana-827	66	9	-	-	PUNCT
cana-827	66	10	133x	133x	NUM
cana-827	66	11	vol	vol	NOUN
cana-827	66	12	31	31	NUM
cana-827	66	13	no	no	NOUN
cana-827	66	14	.	.	PUNCT
cana-827	67	1	4s	4s	NUM
cana-827	67	2	(	(	PUNCT
cana-827	67	3	2024	2024	NUM
cana-827	67	4	)	)	PUNCT
cana-827	67	5	26	26	NUM
cana-827	67	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	67	7	the	the	DET
cana-827	67	8	following	follow	VERB
cana-827	67	9	are	be	AUX
cana-827	67	10	the	the	DET
cana-827	67	11	two	two	NUM
cana-827	67	12	primary	primary	ADJ
cana-827	67	13	qualities	quality	NOUN
cana-827	67	14	of	of	ADP
cana-827	67	15	stigmergy	stigmergy	NOUN
cana-827	67	16	that	that	PRON
cana-827	67	17	set	set	VERB
cana-827	67	18	it	it	PRON
cana-827	67	19	apart	apart	ADV
cana-827	67	20	from	from	ADP
cana-827	67	21	other	other	ADJ
cana-827	67	22	types	type	NOUN
cana-827	67	23	of	of	ADP
cana-827	67	24	communication	communication	NOUN
cana-827	67	25	.	.	PUNCT
cana-827	68	1	●	●	PUNCT
cana-827	68	2	insects	insect	NOUN
cana-827	68	3	that	that	PRON
cana-827	68	4	visit	visit	VERB
cana-827	68	5	the	the	DET
cana-827	68	6	locus	locus	NOUN
cana-827	68	7	where	where	SCONJ
cana-827	68	8	the	the	DET
cana-827	68	9	semergic	semergic	ADJ
cana-827	68	10	information	information	NOUN
cana-827	68	11	was	be	AUX
cana-827	68	12	emitted	emit	VERB
cana-827	68	13	,	,	PUNCT
cana-827	68	14	or	or	CCONJ
cana-827	68	15	its	its	PRON
cana-827	68	16	nearby	nearby	ADJ
cana-827	68	17	vicinity	vicinity	NOUN
cana-827	68	18	,	,	PUNCT
cana-827	68	19	are	be	AUX
cana-827	68	20	the	the	DET
cana-827	68	21	only	only	ADJ
cana-827	68	22	ones	one	NOUN
cana-827	68	23	that	that	PRON
cana-827	68	24	can	can	AUX
cana-827	68	25	access	access	VERB
cana-827	68	26	it	it	PRON
cana-827	68	27	.	.	PUNCT
cana-827	69	1	●	●	PUNCT
cana-827	69	2	stigmergic	stigmergic	ADJ
cana-827	69	3	communication	communication	NOUN
cana-827	69	4	:	:	PUNCT
cana-827	69	5	stigmergic	stigmergic	ADJ
cana-827	69	6	communication	communication	NOUN
cana-827	69	7	represents	represent	VERB
cana-827	69	8	an	an	DET
cana-827	69	9	indirect	indirect	ADJ
cana-827	69	10	and	and	CCONJ
cana-827	69	11	non	non	ADJ
cana-827	69	12	-	-	ADJ
cana-827	69	13	symbolic	symbolic	ADJ
cana-827	69	14	mode	mode	NOUN
cana-827	69	15	of	of	ADP
cana-827	69	16	interaction	interaction	NOUN
cana-827	69	17	that	that	PRON
cana-827	69	18	relies	rely	VERB
cana-827	69	19	on	on	ADP
cana-827	69	20	the	the	DET
cana-827	69	21	environment	environment	NOUN
cana-827	69	22	as	as	ADP
cana-827	69	23	a	a	DET
cana-827	69	24	mediator	mediator	NOUN
cana-827	69	25	.	.	PUNCT
cana-827	70	1	in	in	ADP
cana-827	70	2	this	this	DET
cana-827	70	3	unique	unique	ADJ
cana-827	70	4	communication	communication	NOUN
cana-827	70	5	system	system	NOUN
cana-827	70	6	,	,	PUNCT
cana-827	70	7	insects	insect	NOUN
cana-827	70	8	share	share	VERB
cana-827	70	9	information	information	NOUN
cana-827	70	10	not	not	PART
cana-827	70	11	through	through	ADP
cana-827	70	12	direct	direct	ADJ
cana-827	70	13	signals	signal	NOUN
cana-827	70	14	or	or	CCONJ
cana-827	70	15	symbols	symbol	NOUN
cana-827	70	16	but	but	CCONJ
cana-827	70	17	by	by	ADP
cana-827	70	18	modifying	modify	VERB
cana-827	70	19	their	their	PRON
cana-827	70	20	surroundings	surrounding	NOUN
cana-827	70	21	.	.	PUNCT
cana-827	71	1	fig	fig	NOUN
cana-827	71	2	1	1	NUM
cana-827	71	3	:	:	PUNCT
cana-827	71	4	the	the	DET
cana-827	71	5	twin	twin	ADJ
cana-827	71	6	bridge	bridge	NOUN
cana-827	71	7	experiment	experiment	NOUN
cana-827	71	8	is	be	AUX
cana-827	71	9	put	put	VERB
cana-827	71	10	up	up	ADP
cana-827	71	11	experimentally	experimentally	ADV
cana-827	71	12	(	(	PUNCT
cana-827	71	13	a)equal	a)equal	ADJ
cana-827	71	14	length	length	NOUN
cana-827	71	15	branches[9	branches[9	PROPN
cana-827	71	16	]	]	PUNCT
cana-827	71	17	.	.	PUNCT
cana-827	72	1	(	(	PUNCT
cana-827	72	2	b)the	b)the	DET
cana-827	72	3	lengths	length	NOUN
cana-827	72	4	of	of	ADP
cana-827	72	5	the	the	DET
cana-827	72	6	branches	branch	NOUN
cana-827	72	7	vary[10	vary[10	NUM
cana-827	72	8	]	]	PUNCT
cana-827	73	1	2.2.1.2	2.2.1.2	NUM
cana-827	73	2	.	.	PUNCT
cana-827	73	3	algorithmic	algorithmic	ADJ
cana-827	73	4	design	design	NOUN
cana-827	73	5	:	:	PUNCT
cana-827	73	6	fig	fig	NOUN
cana-827	73	7	2	2	NUM
cana-827	73	8	:	:	PUNCT
cana-827	73	9	for	for	ADP
cana-827	73	10	the	the	DET
cana-827	73	11	sake	sake	NOUN
cana-827	73	12	of	of	ADP
cana-827	73	13	simplicity	simplicity	NOUN
cana-827	73	14	,	,	PUNCT
cana-827	73	15	just	just	ADV
cana-827	73	16	two	two	NUM
cana-827	73	17	alternative	alternative	ADJ
cana-827	73	18	routes	route	NOUN
cana-827	73	19	between	between	ADP
cana-827	73	20	the	the	DET
cana-827	73	21	ant	ant	ADJ
cana-827	73	22	nest	nest	NOUN
cana-827	73	23	and	and	CCONJ
cana-827	73	24	the	the	DET
cana-827	73	25	food	food	NOUN
cana-827	73	26	supply	supply	NOUN
cana-827	73	27	have	have	AUX
cana-827	73	28	been	be	AUX
cana-827	73	29	shown	show	VERB
cana-827	73	30	in	in	ADP
cana-827	73	31	the	the	DET
cana-827	73	32	above	above	ADJ
cana-827	73	33	picture	picture	NOUN
cana-827	73	34	.	.	PUNCT
cana-827	74	1	algorithmic	algorithmic	ADJ
cana-827	74	2	design	design	NOUN
cana-827	74	3	and	and	CCONJ
cana-827	74	4	simplification	simplification	NOUN
cana-827	74	5	:	:	PUNCT
cana-827	74	6	the	the	DET
cana-827	74	7	algorithmic	algorithmic	ADJ
cana-827	74	8	design	design	NOUN
cana-827	74	9	,	,	PUNCT
cana-827	74	10	as	as	SCONJ
cana-827	74	11	depicted	depict	VERB
cana-827	74	12	in	in	ADP
cana-827	74	13	fig	fig	NOUN
cana-827	74	14	.	.	PUNCT
cana-827	75	1	2	2	NUM
cana-827	75	2	,	,	PUNCT
cana-827	75	3	has	have	AUX
cana-827	75	4	been	be	AUX
cana-827	75	5	created	create	VERB
cana-827	75	6	for	for	ADP
cana-827	75	7	simplicity	simplicity	NOUN
cana-827	75	8	,	,	PUNCT
cana-827	75	9	focusing	focus	VERB
cana-827	75	10	on	on	ADP
cana-827	75	11	a	a	DET
cana-827	75	12	single	single	ADJ
cana-827	75	13	food	food	NOUN
cana-827	75	14	source	source	NOUN
cana-827	75	15	,	,	PUNCT
cana-827	75	16	one	one	NUM
cana-827	75	17	ant	ant	ADJ
cana-827	75	18	colony	colony	NOUN
cana-827	75	19	,	,	PUNCT
cana-827	75	20	and	and	CCONJ
cana-827	75	21	two	two	NUM
cana-827	75	22	alternative	alternative	ADJ
cana-827	75	23	travel	travel	NOUN
cana-827	75	24	routes	route	NOUN
cana-827	75	25	.	.	PUNCT
cana-827	76	1	in	in	ADP
cana-827	76	2	this	this	DET
cana-827	76	3	context	context	NOUN
cana-827	76	4	,	,	PUNCT
cana-827	76	5	the	the	DET
cana-827	76	6	paths	path	NOUN
cana-827	76	7	are	be	AUX
cana-827	76	8	represented	represent	VERB
cana-827	76	9	as	as	ADP
cana-827	76	10	edges	edge	NOUN
cana-827	76	11	,	,	PUNCT
cana-827	76	12	while	while	SCONJ
cana-827	76	13	the	the	DET
cana-827	76	14	ant	ant	ADJ
cana-827	76	15	colony	colony	NOUN
cana-827	76	16	and	and	CCONJ
cana-827	76	17	the	the	DET
cana-827	76	18	food	food	NOUN
cana-827	76	19	supply	supply	NOUN
cana-827	76	20	serve	serve	VERB
cana-827	76	21	as	as	ADP
cana-827	76	22	the	the	DET
cana-827	76	23	vertices	vertex	NOUN
cana-827	76	24	(	(	PUNCT
cana-827	76	25	or	or	CCONJ
cana-827	76	26	nodes	node	NOUN
cana-827	76	27	)	)	PUNCT
cana-827	76	28	within	within	ADP
cana-827	76	29	weighted	weighted	ADJ
cana-827	76	30	graphs	graph	NOUN
cana-827	76	31	that	that	PRON
cana-827	76	32	provide	provide	VERB
cana-827	76	33	a	a	DET
cana-827	76	34	comprehensive	comprehensive	ADJ
cana-827	76	35	depiction	depiction	NOUN
cana-827	76	36	of	of	ADP
cana-827	76	37	the	the	DET
cana-827	76	38	scenario	scenario	NOUN
cana-827	76	39	.	.	PUNCT
cana-827	77	1	the	the	DET
cana-827	77	2	weightings	weighting	NOUN
cana-827	77	3	assigned	assign	VERB
cana-827	77	4	to	to	ADP
cana-827	77	5	the	the	DET
cana-827	77	6	edges	edge	NOUN
cana-827	77	7	correspond	correspond	VERB
cana-827	77	8	to	to	ADP
cana-827	77	9	the	the	DET
cana-827	77	10	levels	level	NOUN
cana-827	77	11	of	of	ADP
cana-827	77	12	pheromones	pheromone	NOUN
cana-827	77	13	involved	involve	VERB
cana-827	77	14	in	in	ADP
cana-827	77	15	the	the	DET
cana-827	77	16	process[11	process[11	NOUN
cana-827	77	17	]	]	PUNCT
cana-827	77	18	.	.	PUNCT
cana-827	78	1	for	for	ADP
cana-827	78	2	the	the	DET
cana-827	78	3	analysis	analysis	NOUN
cana-827	78	4	,	,	PUNCT
cana-827	78	5	the	the	DET
cana-827	78	6	graph	graph	NOUN
cana-827	78	7	shall	shall	AUX
cana-827	78	8	be	be	AUX
cana-827	78	9	g	g	NOUN
cana-827	78	10	=	=	SYM
cana-827	78	11	(	(	PUNCT
cana-827	78	12	v	v	NOUN
cana-827	78	13	,	,	PUNCT
cana-827	78	14	e	e	NOUN
cana-827	78	15	)	)	PUNCT
cana-827	78	16	,	,	PUNCT
cana-827	78	17	whereby	whereby	SCONJ
cana-827	78	18	v	v	NOUN
cana-827	78	19	stands	stand	VERB
cana-827	78	20	for	for	ADP
cana-827	78	21	vertices	vertex	NOUN
cana-827	78	22	of	of	ADP
cana-827	78	23	the	the	DET
cana-827	78	24	graph	graph	NOUN
cana-827	78	25	and	and	CCONJ
cana-827	78	26	e	e	NOUN
cana-827	78	27	is	be	AUX
cana-827	78	28	the	the	DET
cana-827	78	29	set	set	NOUN
cana-827	78	30	of	of	ADP
cana-827	78	31	edges	edge	NOUN
cana-827	78	32	in	in	ADP
cana-827	78	33	the	the	DET
cana-827	78	34	graph	graph	NOUN
cana-827	78	35	.	.	PUNCT
cana-827	79	1	the	the	DET
cana-827	79	2	vertices	vertex	NOUN
cana-827	79	3	are	be	AUX
cana-827	79	4	vs(supply	vs(supply	ADV
cana-827	79	5	vertex	vertex	NOUN
cana-827	79	6	,	,	PUNCT
cana-827	79	7	an	an	DET
cana-827	79	8	ant	ant	ADJ
cana-827	79	9	colony	colony	NOUN
cana-827	79	10	)	)	PUNCT
cana-827	79	11	and	and	CCONJ
cana-827	79	12	vd(destination	vd(destination	NOUN
cana-827	79	13	vertex	vertex	NOUN
cana-827	79	14	,	,	PUNCT
cana-827	79	15	a	a	DET
cana-827	79	16	food	food	NOUN
cana-827	79	17	supply	supply	NOUN
cana-827	79	18	)	)	PUNCT
cana-827	79	19	,	,	PUNCT
cana-827	79	20	assuming	assume	VERB
cana-827	79	21	that	that	SCONJ
cana-827	79	22	we	we	PRON
cana-827	79	23	take	take	VERB
cana-827	79	24	this	this	PRON
cana-827	79	25	into	into	ADP
cana-827	79	26	mind	mind	NOUN
cana-827	79	27	hence	hence	ADV
cana-827	79	28	taking	take	VERB
cana-827	79	29	into	into	ADP
cana-827	79	30	consideration	consideration	NOUN
cana-827	79	31	that	that	SCONJ
cana-827	79	32	e1	e1	PROPN
cana-827	79	33	and	and	CCONJ
cana-827	79	34	e2	e2	PROPN
cana-827	79	35	represent	represent	VERB
cana-827	79	36	the	the	DET
cana-827	79	37	length	length	NOUN
cana-827	79	38	of	of	ADP
cana-827	79	39	the	the	DET
cana-827	79	40	two	two	NUM
cana-827	79	41	edges	edge	NOUN
cana-827	79	42	,	,	PUNCT
cana-827	79	43	one	one	PRON
cana-827	79	44	must	must	AUX
cana-827	79	45	note	note	VERB
cana-827	79	46	that	that	PRON
cana-827	79	47	l1	l1	PROPN
cana-827	79	48	and	and	CCONJ
cana-827	79	49	l2	l2	NOUN
cana-827	79	50	represent	represent	VERB
cana-827	79	51	them	they	PRON
cana-827	79	52	as	as	ADV
cana-827	79	53	well	well	ADV
cana-827	79	54	.	.	PUNCT
cana-827	80	1	it	it	PRON
cana-827	80	2	can	can	AUX
cana-827	80	3	now	now	ADV
cana-827	80	4	only	only	ADV
cana-827	80	5	be	be	AUX
cana-827	80	6	assumed	assume	VERB
cana-827	80	7	that	that	SCONJ
cana-827	80	8	if	if	SCONJ
cana-827	80	9	the	the	DET
cana-827	80	10	above	above	ADJ
cana-827	80	11	is	be	AUX
cana-827	80	12	true	true	ADJ
cana-827	80	13	,	,	PUNCT
cana-827	80	14	vertices	vertice	VERB
cana-827	80	15	e1	e1	PROPN
cana-827	80	16	and	and	CCONJ
cana-827	80	17	e2	e2	PROPN
cana-827	80	18	have	have	AUX
cana-827	80	19	respectively	respectively	ADV
cana-827	80	20	associated	associate	VERB
cana-827	80	21	equivalent	equivalent	ADJ
cana-827	80	22	pheromone	pheromone	NOUN
cana-827	80	23	ratings	rating	NOUN
cana-827	80	24	of	of	ADP
cana-827	80	25	r1	r1	NOUN
cana-827	80	26	and	and	CCONJ
cana-827	80	27	r2	r2	PROPN
cana-827	80	28	.	.	PUNCT
cana-827	81	1	therefore	therefore	ADV
cana-827	81	2	,	,	PUNCT
cana-827	81	3	the	the	DET
cana-827	81	4	initial	initial	ADJ
cana-827	81	5	likelihood	likelihood	NOUN
cana-827	81	6	that	that	SCONJ
cana-827	81	7	an	an	DET
cana-827	81	8	ant	ant	NOUN
cana-827	81	9	would	would	AUX
cana-827	81	10	select	select	VERB
cana-827	81	11	a	a	DET
cana-827	81	12	path	path	NOUN
cana-827	81	13	(	(	PUNCT
cana-827	81	14	between	between	ADP
cana-827	81	15	e1	e1	PROPN
cana-827	81	16	and	and	CCONJ
cana-827	81	17	e2	e2	PROPN
cana-827	81	18	)	)	PUNCT
cana-827	81	19	may	may	AUX
cana-827	81	20	be	be	AUX
cana-827	81	21	expressed	express	VERB
cana-827	81	22	as	as	SCONJ
cana-827	81	23	follows	follow	VERB
cana-827	81	24	:	:	PUNCT
cana-827	81	25	communications	communication	NOUN
cana-827	81	26	on	on	ADP
cana-827	81	27	applied	apply	VERB
cana-827	81	28	nonlinear	nonlinear	ADJ
cana-827	81	29	analysis	analysis	NOUN
cana-827	81	30	issn	issn	NOUN
cana-827	81	31	:	:	PUNCT
cana-827	81	32	1074	1074	NUM
cana-827	81	33	-	-	PUNCT
cana-827	81	34	133x	133x	NUM
cana-827	81	35	vol	vol	NOUN
cana-827	81	36	31	31	NUM
cana-827	81	37	no	no	NOUN
cana-827	81	38	.	.	PUNCT
cana-827	82	1	4s	4s	NUM
cana-827	82	2	(	(	PUNCT
cana-827	82	3	2024	2024	NUM
cana-827	82	4	)	)	PUNCT
cana-827	82	5	27	27	NUM
cana-827	82	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	83	1	𝑃𝑖	𝑃𝑖	ADP
cana-827	83	2	=	=	SYM
cana-827	83	3	𝑅𝑖	𝑅𝑖	PROPN
cana-827	83	4	𝑅1+𝑅2	𝑅1+𝑅2	NOUN
cana-827	83	5	;	;	PUNCT
cana-827	83	6	𝑖	𝑖	SYM
cana-827	83	7	=	=	SYM
cana-827	83	8	1,2	1,2	NUM
cana-827	83	9	(	(	PUNCT
cana-827	83	10	1	1	NUM
cana-827	83	11	)	)	PUNCT
cana-827	83	12	from	from	ADP
cana-827	83	13	the	the	DET
cana-827	83	14	discussion	discussion	NOUN
cana-827	83	15	above	above	ADP
cana-827	83	16	it	it	PRON
cana-827	83	17	could	could	AUX
cana-827	83	18	be	be	AUX
cana-827	83	19	deducted	deduct	VERB
cana-827	83	20	that	that	SCONJ
cana-827	83	21	e1	e1	NOUN
cana-827	83	22	dominate	dominate	VERB
cana-827	83	23	when	when	SCONJ
cana-827	83	24	r1	r1	PROPN
cana-827	83	25	>	>	X
cana-827	83	26	r2	r2	PROPN
cana-827	83	27	and	and	CCONJ
cana-827	83	28	that	that	SCONJ
cana-827	83	29	e2	e2	PROPN
cana-827	83	30	dominate	dominate	VERB
cana-827	83	31	when	when	SCONJ
cana-827	83	32	r1	r1	PROPN
cana-827	83	33	<	<	NOUN
cana-827	83	34	r2	r2	PROPN
cana-827	83	35	,	,	PUNCT
cana-827	83	36	now	now	ADV
cana-827	83	37	,	,	PUNCT
cana-827	83	38	if	if	SCONJ
cana-827	83	39	the	the	DET
cana-827	83	40	shortest	short	ADJ
cana-827	83	41	path	path	NOUN
cana-827	83	42	is	be	AUX
cana-827	83	43	being	be	AUX
cana-827	83	44	traced	trace	VERB
cana-827	83	45	backward	backward	ADV
cana-827	83	46	,	,	PUNCT
cana-827	83	47	while	while	SCONJ
cana-827	83	48	using	use	VERB
cana-827	83	49	it	it	PRON
cana-827	83	50	for	for	ADP
cana-827	83	51	returning	return	VERB
cana-827	83	52	,	,	PUNCT
cana-827	83	53	for	for	ADP
cana-827	83	54	instance	instance	NOUN
cana-827	83	55	,	,	PUNCT
cana-827	83	56	as	as	SCONJ
cana-827	83	57	ei	ei	ADP
cana-827	83	58	the	the	DET
cana-827	83	59	pheromone	pheromone	NOUN
cana-827	83	60	value	value	NOUN
cana-827	83	61	of	of	ADP
cana-827	83	62	the	the	DET
cana-827	83	63	corresponded	corresponded	ADJ
cana-827	83	64	path	path	NOUN
cana-827	83	65	is	be	AUX
cana-827	83	66	changed	change	VERB
cana-827	83	67	.	.	PUNCT
cana-827	84	1	the	the	DET
cana-827	84	2	updating	update	VERB
cana-827	84	3	task	task	NOUN
cana-827	84	4	depends	depend	VERB
cana-827	84	5	with	with	ADP
cana-827	84	6	the	the	DET
cana-827	84	7	pathway	pathway	NOUN
cana-827	84	8	length	length	NOUN
cana-827	84	9	and	and	CCONJ
cana-827	84	10	rate	rate	NOUN
cana-827	84	11	of	of	ADP
cana-827	84	12	evaporation	evaporation	NOUN
cana-827	84	13	of	of	ADP
cana-827	84	14	the	the	DET
cana-827	84	15	pheromone	pheromone	NOUN
cana-827	84	16	molecules	molecule	NOUN
cana-827	84	17	released	release	VERB
cana-827	84	18	.	.	PUNCT
cana-827	85	1	so	so	ADV
cana-827	85	2	,	,	PUNCT
cana-827	85	3	to	to	PART
cana-827	85	4	put	put	VERB
cana-827	85	5	the	the	DET
cana-827	85	6	update	update	NOUN
cana-827	85	7	into	into	ADP
cana-827	85	8	practice	practice	NOUN
cana-827	85	9	,	,	PUNCT
cana-827	85	10	the	the	DET
cana-827	85	11	following	follow	VERB
cana-827	85	12	procedures	procedure	NOUN
cana-827	85	13	can	can	AUX
cana-827	85	14	be	be	AUX
cana-827	85	15	taken	take	VERB
cana-827	85	16	:	:	PUNCT
cana-827	85	17	1	1	X
cana-827	85	18	.	.	X
cana-827	86	1	in	in	ADP
cana-827	86	2	accordance	accordance	NOUN
cana-827	86	3	to	to	ADP
cana-827	86	4	path	path	NOUN
cana-827	86	5	length	length	NOUN
cana-827	86	6	:	:	PUNCT
cana-827	86	7	𝑅𝑖	𝑅𝑖	PROPN
cana-827	86	8	←	←	PROPN
cana-827	86	9	𝑅𝑖	𝑅𝑖	PROPN
cana-827	86	10	+	+	CCONJ
cana-827	86	11	𝐾	𝐾	PROPN
cana-827	86	12	𝐿𝑖	𝐿𝑖	NOUN
cana-827	86	13	(	(	PUNCT
cana-827	86	14	2	2	NUM
cana-827	86	15	)	)	PUNCT
cana-827	86	16	in	in	ADP
cana-827	86	17	the	the	DET
cana-827	86	18	equation(2	equation(2	PROPN
cana-827	86	19	)	)	PUNCT
cana-827	86	20	mentioned	mention	VERB
cana-827	86	21	above	above	ADV
cana-827	86	22	,	,	PUNCT
cana-827	86	23	the	the	DET
cana-827	86	24	model	model	NOUN
cana-827	86	25	’s	’s	PART
cana-827	86	26	parameter	parameter	NOUN
cana-827	86	27	‘	'	PUNCT
cana-827	86	28	k	k	NOUN
cana-827	86	29	’	'	PUNCT
cana-827	86	30	and	and	CCONJ
cana-827	86	31	the	the	DET
cana-827	86	32	integers	integer	NOUN
cana-827	86	33	i	i	X
cana-827	86	34	=	=	NOUN
cana-827	86	35	1,2	1,2	NUM
cana-827	86	36	fulfil	fulfil	NOUN
cana-827	86	37	this	this	DET
cana-827	86	38	purpose	purpose	NOUN
cana-827	86	39	.	.	PUNCT
cana-827	87	1	additionally	additionally	ADV
cana-827	87	2	,	,	PUNCT
cana-827	87	3	the	the	DET
cana-827	87	4	eq	eq	NOUN
cana-827	87	5	2	2	NUM
cana-827	87	6	depends	depend	VERB
cana-827	87	7	on	on	ADP
cana-827	87	8	how	how	SCONJ
cana-827	87	9	long	long	ADV
cana-827	87	10	the	the	DET
cana-827	87	11	journey	journey	NOUN
cana-827	87	12	is	be	AUX
cana-827	87	13	.	.	PUNCT
cana-827	88	1	the	the	DET
cana-827	88	2	additional	additional	ADJ
cana-827	88	3	pheromone	pheromone	NOUN
cana-827	88	4	is	be	AUX
cana-827	88	5	greater	great	ADJ
cana-827	88	6	the	the	DET
cana-827	88	7	shorter	short	ADJ
cana-827	88	8	the	the	DET
cana-827	88	9	journey	journey	NOUN
cana-827	88	10	.	.	PUNCT
cana-827	89	1	2	2	X
cana-827	89	2	.	.	X
cana-827	89	3	in	in	ADP
cana-827	89	4	accordance	accordance	NOUN
cana-827	89	5	to	to	ADP
cana-827	89	6	evaporation	evaporation	NOUN
cana-827	89	7	rate	rate	NOUN
cana-827	89	8	of	of	ADP
cana-827	89	9	pheromone	pheromone	NOUN
cana-827	89	10	:	:	PUNCT
cana-827	89	11	𝑅𝑖	𝑅𝑖	PROPN
cana-827	89	12	←	←	PROPN
cana-827	89	13	(	(	PUNCT
cana-827	89	14	1	1	NUM
cana-827	89	15	−	−	PROPN
cana-827	89	16	𝜈	𝜈	NOUN
cana-827	89	17	)	)	PUNCT
cana-827	89	18	∗	∗	NOUN
cana-827	89	19	𝑅𝑖	𝑅𝑖	PROPN
cana-827	89	20	(	(	PUNCT
cana-827	89	21	3	3	NUM
cana-827	89	22	)	)	PUNCT
cana-827	89	23	the	the	DET
cana-827	89	24	evaporation	evaporation	NOUN
cana-827	89	25	rate	rate	NOUN
cana-827	89	26	of	of	ADP
cana-827	89	27	the	the	DET
cana-827	89	28	pheromone	pheromone	NOUN
cana-827	89	29	is	be	AUX
cana-827	89	30	regulated	regulate	VERB
cana-827	89	31	by	by	ADP
cana-827	89	32	the	the	DET
cana-827	89	33	parameter	parameter	NOUN
cana-827	89	34	𝜆	𝜆	NOUN
cana-827	89	35	;	;	PUNCT
cana-827	89	36	it	it	PRON
cana-827	89	37	represents	represent	VERB
cana-827	89	38	a	a	DET
cana-827	89	39	range[0,1	range[0,1	NOUN
cana-827	89	40	]	]	PUNCT
cana-827	89	41	.	.	PUNCT
cana-827	90	1	moreover	moreover	ADV
cana-827	90	2	,	,	PUNCT
cana-827	90	3	i=1	i=1	PROPN
cana-827	90	4	and	and	CCONJ
cana-827	90	5	2	2	X
cana-827	90	6	.	.	X
cana-827	91	1	all	all	DET
cana-827	91	2	ants	ant	NOUN
cana-827	91	3	are	be	AUX
cana-827	91	4	placed	place	VERB
cana-827	91	5	ar	ar	NOUN
cana-827	91	6	source	source	NOUN
cana-827	91	7	vertex	vertex	NOUN
cana-827	91	8	vs(at	vs(at	NOUN
cana-827	91	9	each	each	DET
cana-827	91	10	iteration	iteration	NOUN
cana-827	91	11	of	of	ADP
cana-827	91	12	the	the	DET
cana-827	91	13	unsupervised	unsupervised	ADJ
cana-827	91	14	ant	ant	ADJ
cana-827	91	15	colony	colony	NOUN
cana-827	91	16	-	-	PUNCT
cana-827	91	17	set	set	NOUN
cana-827	91	18	)	)	PUNCT
cana-827	91	19	.	.	PUNCT
cana-827	92	1	step	step	NOUN
cana-827	92	2	1	1	NUM
cana-827	92	3	is	be	AUX
cana-827	92	4	followed	follow	VERB
cana-827	92	5	by	by	ADP
cana-827	92	6	the	the	DET
cana-827	92	7	ants	ant	NOUN
cana-827	92	8	moving	move	VERB
cana-827	92	9	from	from	ADP
cana-827	92	10	vs	vs	ADP
cana-827	92	11	to	to	ADP
cana-827	92	12	vd	vd	NOUN
cana-827	92	13	(	(	PUNCT
cana-827	92	14	food	food	NOUN
cana-827	92	15	source	source	NOUN
cana-827	92	16	)	)	PUNCT
cana-827	92	17	,	,	PUNCT
cana-827	92	18	which	which	PRON
cana-827	92	19	refers	refer	VERB
cana-827	92	20	to	to	ADP
cana-827	92	21	the	the	DET
cana-827	92	22	transportation	transportation	NOUN
cana-827	92	23	of	of	ADP
cana-827	92	24	food	food	NOUN
cana-827	92	25	.	.	PUNCT
cana-827	93	1	all	all	DET
cana-827	93	2	ants	ant	NOUN
cana-827	93	3	then	then	ADV
cana-827	93	4	return	return	VERB
cana-827	93	5	to	to	ADP
cana-827	93	6	the	the	DET
cana-827	93	7	nest	nest	NOUN
cana-827	93	8	and	and	CCONJ
cana-827	93	9	retrace	retrace	VERB
cana-827	93	10	the	the	DET
cana-827	93	11	selected	select	VERB
cana-827	93	12	path	path	NOUN
cana-827	93	13	in	in	ADP
cana-827	93	14	light	light	NOUN
cana-827	93	15	of	of	ADP
cana-827	93	16	the	the	DET
cana-827	93	17	activity	activity	NOUN
cana-827	93	18	indicated	indicate	VERB
cana-827	93	19	in	in	ADP
cana-827	93	20	step	step	NOUN
cana-827	93	21	2	2	NUM
cana-827	93	22	.	.	PUNCT
cana-827	93	23	2.2.1.3	2.2.1.3	PROPN
cana-827	93	24	.	.	PUNCT
cana-827	93	25	pseudocode	pseudocode	PROPN
cana-827	93	26	:	:	PUNCT
cana-827	93	27	procedure	procedure	NOUN
cana-827	93	28	antcolonyoptimization	antcolonyoptimization	NOUN
cana-827	93	29	:	:	PUNCT
cana-827	93	30	setting	set	VERB
cana-827	93	31	up	up	ADP
cana-827	93	32	of	of	ADP
cana-827	93	33	the	the	DET
cana-827	93	34	initial	initial	ADJ
cana-827	93	35	values	value	NOUN
cana-827	93	36	and	and	CCONJ
cana-827	93	37	pheromone	pheromone	NOUN
cana-827	93	38	trails	trail	NOUN
cana-827	93	39	variables	variable	NOUN
cana-827	93	40	.	.	PUNCT
cana-827	94	1	termination	termination	NOUN
cana-827	94	2	←	←	PROPN
cana-827	94	3	false	false	ADJ
cana-827	94	4	;	;	PUNCT
cana-827	94	5	while	while	SCONJ
cana-827	94	6	not	not	PART
cana-827	94	7	termination	termination	NOUN
cana-827	94	8	do	do	AUX
cana-827	94	9	:	:	PUNCT
cana-827	94	10	generate	generate	VERB
cana-827	94	11	ant	ant	ADJ
cana-827	94	12	population	population	NOUN
cana-827	94	13	;	;	PUNCT
cana-827	94	14	determine	determine	VERB
cana-827	94	15	fitness	fitness	NOUN
cana-827	94	16	of	of	ADP
cana-827	94	17	ants	ant	NOUN
cana-827	94	18	meaning	mean	VERB
cana-827	94	19	ranking	ranking	NOUN
cana-827	94	20	of	of	ADP
cana-827	94	21	ants	ant	NOUN
cana-827	94	22	;	;	PUNCT
cana-827	94	23	through	through	ADP
cana-827	94	24	selection	selection	NOUN
cana-827	94	25	methods	method	NOUN
cana-827	94	26	come	come	VERB
cana-827	94	27	up	up	ADP
cana-827	94	28	with	with	ADP
cana-827	94	29	the	the	DET
cana-827	94	30	best	good	ADJ
cana-827	94	31	solution	solution	NOUN
cana-827	94	32	;	;	PUNCT
cana-827	94	33	update	update	NOUN
cana-827	94	34	pheromone	pheromone	NOUN
cana-827	94	35	trails	trail	NOUN
cana-827	94	36	;	;	PUNCT
cana-827	94	37	//	//	PUNCT
cana-827	94	38	to	to	PART
cana-827	94	39	evaluate	evaluate	VERB
cana-827	94	40	a	a	DET
cana-827	94	41	requisite	requisite	ADJ
cana-827	94	42	stop	stop	NOUN
cana-827	94	43	criterion	criterion	NOUN
cana-827	94	44	,	,	PUNCT
cana-827	94	45	first	first	ADV
cana-827	94	46	establish	establish	VERB
cana-827	94	47	the	the	DET
cana-827	94	48	halt	halt	NOUN
cana-827	94	49	conditions	condition	NOUN
cana-827	94	50	,	,	PUNCT
cana-827	94	51	such	such	ADJ
cana-827	94	52	as	as	ADP
cana-827	94	53	,	,	PUNCT
cana-827	94	54	for	for	ADP
cana-827	94	55	instance	instance	NOUN
cana-827	94	56	,	,	PUNCT
cana-827	94	57	number	number	NOUN
cana-827	94	58	of	of	ADP
cana-827	94	59	iterations	iteration	NOUN
cana-827	94	60	if	if	SCONJ
cana-827	94	61	termination_condition_met	termination_condition_met	NOUN
cana-827	94	62	then	then	ADV
cana-827	94	63	termination	termination	VERB
cana-827	94	64	←	←	PROPN
cana-827	94	65	true	true	ADJ
cana-827	94	66	;	;	PUNCT
cana-827	94	67	end	end	VERB
cana-827	94	68	if	if	SCONJ
cana-827	94	69	end	end	NOUN
cana-827	94	70	while	while	SCONJ
cana-827	94	71	end	end	NOUN
cana-827	94	72	procedure	procedure	NOUN
cana-827	94	73	2.2.2	2.2.2	NUM
cana-827	94	74	.	.	PUNCT
cana-827	95	1	artificial	artificial	ADJ
cana-827	95	2	bee	bee	NOUN
cana-827	95	3	colony(abc	colony(abc	PROPN
cana-827	95	4	):	):	PUNCT
cana-827	95	5	introduction	introduction	NOUN
cana-827	95	6	of	of	ADP
cana-827	95	7	artificial	artificial	ADJ
cana-827	95	8	bee	bee	NOUN
cana-827	95	9	colony(abc	colony(abc	PROPN
cana-827	95	10	)	)	PUNCT
cana-827	95	11	optimization	optimization	NOUN
cana-827	95	12	:	:	PUNCT
cana-827	95	13	in	in	ADP
cana-827	95	14	2005	2005	NUM
cana-827	95	15	,	,	PUNCT
cana-827	95	16	karaboga	karaboga	PROPN
cana-827	95	17	presented	present	VERB
cana-827	95	18	the	the	DET
cana-827	95	19	artificial	artificial	ADJ
cana-827	95	20	bee	bee	NOUN
cana-827	95	21	colony	colony	NOUN
cana-827	95	22	(	(	PUNCT
cana-827	95	23	abc	abc	PROPN
cana-827	95	24	)	)	PUNCT
cana-827	95	25	approach	approach	NOUN
cana-827	95	26	which	which	PRON
cana-827	95	27	is	be	AUX
cana-827	95	28	among	among	ADP
cana-827	95	29	the	the	DET
cana-827	95	30	essential	essential	ADJ
cana-827	95	31	computational	computational	ADJ
cana-827	95	32	methods	method	NOUN
cana-827	95	33	used	use	VERB
cana-827	95	34	to	to	PART
cana-827	95	35	solve	solve	VERB
cana-827	95	36	numerical	numerical	ADJ
cana-827	95	37	optimization	optimization	NOUN
cana-827	95	38	problems	problem	NOUN
cana-827	95	39	.	.	PUNCT
cana-827	96	1	the	the	DET
cana-827	96	2	idea	idea	NOUN
cana-827	96	3	backing	back	VERB
cana-827	96	4	this	this	DET
cana-827	96	5	algorithm	algorithm	NOUN
cana-827	96	6	comes	come	VERB
cana-827	96	7	from	from	ADP
cana-827	96	8	sheer	sheer	ADJ
cana-827	96	9	existence	existence	NOUN
cana-827	96	10	of	of	ADP
cana-827	96	11	brilliance	brilliance	NOUN
cana-827	96	12	that	that	SCONJ
cana-827	96	13	honey	honey	NOUN
cana-827	96	14	bees	bee	NOUN
cana-827	96	15	possess	possess	VERB
cana-827	96	16	in	in	ADP
cana-827	96	17	foraging	forage	VERB
cana-827	96	18	actions	action	NOUN
cana-827	96	19	.	.	PUNCT
cana-827	97	1	the	the	DET
cana-827	97	2	algorithm	algorithm	NOUN
cana-827	97	3	is	be	AUX
cana-827	97	4	based	base	VERB
cana-827	97	5	on	on	ADP
cana-827	97	6	the	the	DET
cana-827	97	7	model	model	NOUN
cana-827	97	8	by	by	ADP
cana-827	97	9	tereshko	tereshko	PROPN
cana-827	97	10	and	and	CCONJ
cana-827	97	11	loengarov	loengarov	PROPN
cana-827	97	12	,	,	PUNCT
cana-827	97	13	this	this	DET
cana-827	97	14	algorithm	algorithm	NOUN
cana-827	97	15	mimics	mimic	VERB
cana-827	97	16	the	the	DET
cana-827	97	17	honey	honey	NOUN
cana-827	97	18	bees	bee	NOUN
cana-827	97	19	’	'	PUNCT
cana-827	97	20	foraging	forage	VERB
cana-827	97	21	pattern	pattern	NOUN
cana-827	97	22	which	which	PRON
cana-827	97	23	was	be	AUX
cana-827	97	24	proposed	propose	VERB
cana-827	97	25	in	in	ADP
cana-827	97	26	2005	2005	NUM
cana-827	97	27	.	.	PUNCT
cana-827	98	1	this	this	DET
cana-827	98	2	model	model	NOUN
cana-827	98	3	comprises	comprise	VERB
cana-827	98	4	three	three	NUM
cana-827	98	5	primary	primary	ADJ
cana-827	98	6	components	component	NOUN
cana-827	98	7	:	:	PUNCT
cana-827	98	8	candidate	candidate	NOUN
cana-827	98	9	variables	variable	NOUN
cana-827	98	10	,	,	PUNCT
cana-827	98	11	including	include	VERB
cana-827	98	12	food	food	NOUN
cana-827	98	13	sources	source	NOUN
cana-827	98	14	,	,	PUNCT
cana-827	98	15	active	active	ADJ
cana-827	98	16	communications	communication	NOUN
cana-827	98	17	on	on	ADP
cana-827	98	18	applied	apply	VERB
cana-827	98	19	nonlinear	nonlinear	ADJ
cana-827	98	20	analysis	analysis	NOUN
cana-827	98	21	issn	issn	NOUN
cana-827	98	22	:	:	PUNCT
cana-827	98	23	1074	1074	NUM
cana-827	98	24	-	-	PUNCT
cana-827	98	25	133x	133x	NUM
cana-827	98	26	vol	vol	NOUN
cana-827	98	27	31	31	NUM
cana-827	98	28	no	no	NOUN
cana-827	98	29	.	.	PUNCT
cana-827	99	1	4s	4s	NUM
cana-827	99	2	(	(	PUNCT
cana-827	99	3	2024	2024	NUM
cana-827	99	4	)	)	PUNCT
cana-827	99	5	28	28	NUM
cana-827	99	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	99	7	foraging	forage	VERB
cana-827	99	8	bees	bee	NOUN
cana-827	99	9	,	,	PUNCT
cana-827	99	10	and	and	CCONJ
cana-827	99	11	those	those	PRON
cana-827	99	12	that	that	PRON
cana-827	99	13	are	be	AUX
cana-827	99	14	inactive	inactive	ADJ
cana-827	99	15	and	and	CCONJ
cana-827	99	16	collecting	collect	VERB
cana-827	99	17	food	food	NOUN
cana-827	99	18	.	.	PUNCT
cana-827	100	1	the	the	DET
cana-827	100	2	food	food	NOUN
cana-827	100	3	sources	source	NOUN
cana-827	100	4	signifying	signify	VERB
cana-827	100	5	forage	forage	NOUN
cana-827	100	6	targets	target	NOUN
cana-827	100	7	,	,	PUNCT
cana-827	100	8	and	and	CCONJ
cana-827	100	9	the	the	DET
cana-827	100	10	foragers	forager	NOUN
cana-827	100	11	,	,	PUNCT
cana-827	100	12	both	both	PRON
cana-827	100	13	working	work	VERB
cana-827	100	14	and	and	CCONJ
cana-827	100	15	non	non	ADJ
cana-827	100	16	-	-	ADJ
cana-827	100	17	working	working	ADJ
cana-827	100	18	are	be	AUX
cana-827	100	19	significant	significant	ADJ
cana-827	100	20	in	in	ADP
cana-827	100	21	searching	search	VERB
cana-827	100	22	for	for	ADP
cana-827	100	23	rich	rich	ADJ
cana-827	100	24	food	food	NOUN
cana-827	100	25	sources	source	NOUN
cana-827	100	26	near	near	ADP
cana-827	100	27	the	the	DET
cana-827	100	28	colony	colony	NOUN
cana-827	100	29	nest	nest	NOUN
cana-827	100	30	site	site	NOUN
cana-827	100	31	.	.	PUNCT
cana-827	101	1	in	in	ADP
cana-827	101	2	the	the	DET
cana-827	101	3	context	context	NOUN
cana-827	101	4	of	of	ADP
cana-827	101	5	abc	abc	PROPN
cana-827	101	6	optimization	optimization	PROPN
cana-827	101	7	,	,	PUNCT
cana-827	101	8	a	a	DET
cana-827	101	9	population	population	NOUN
cana-827	101	10	of	of	ADP
cana-827	101	11	artificial	artificial	ADJ
cana-827	101	12	forager	forager	NOUN
cana-827	101	13	bees	bee	NOUN
cana-827	101	14	,	,	PUNCT
cana-827	101	15	often	often	ADV
cana-827	101	16	referred	refer	VERB
cana-827	101	17	to	to	ADP
cana-827	101	18	as	as	ADP
cana-827	101	19	abc	abc	PROPN
cana-827	101	20	agents	agent	NOUN
cana-827	101	21	,	,	PUNCT
cana-827	101	22	seeks	seek	VERB
cana-827	101	23	optimal	optimal	ADJ
cana-827	101	24	solutions	solution	NOUN
cana-827	101	25	for	for	ADP
cana-827	101	26	specific	specific	ADJ
cana-827	101	27	problems	problem	NOUN
cana-827	101	28	,	,	PUNCT
cana-827	101	29	akin	akin	ADJ
cana-827	101	30	to	to	ADP
cana-827	101	31	finding	find	VERB
cana-827	101	32	abundant	abundant	ADJ
cana-827	101	33	food	food	NOUN
cana-827	101	34	supplies	supply	NOUN
cana-827	101	35	.	.	PUNCT
cana-827	102	1	to	to	PART
cana-827	102	2	apply	apply	VERB
cana-827	102	3	abc	abc	PROPN
cana-827	102	4	,	,	PUNCT
cana-827	102	5	the	the	DET
cana-827	102	6	task	task	NOUN
cana-827	102	7	of	of	ADP
cana-827	102	8	discovering	discover	VERB
cana-827	102	9	the	the	DET
cana-827	102	10	optimal	optimal	ADJ
cana-827	102	11	parameter	parameter	NOUN
cana-827	102	12	vector	vector	NOUN
cana-827	102	13	that	that	PRON
cana-827	102	14	minimizes	minimize	VERB
cana-827	102	15	an	an	DET
cana-827	102	16	objective	objective	ADJ
cana-827	102	17	function	function	NOUN
cana-827	102	18	is	be	AUX
cana-827	102	19	translated	translate	VERB
cana-827	102	20	into	into	ADP
cana-827	102	21	the	the	DET
cana-827	102	22	optimization	optimization	NOUN
cana-827	102	23	problem	problem	NOUN
cana-827	102	24	under	under	ADP
cana-827	102	25	consideration	consideration	NOUN
cana-827	102	26	.	.	PUNCT
cana-827	103	1	artificial	artificial	ADJ
cana-827	103	2	bees	bee	NOUN
cana-827	103	3	then	then	ADV
cana-827	103	4	employ	employ	VERB
cana-827	103	5	strategies	strategy	NOUN
cana-827	103	6	that	that	PRON
cana-827	103	7	involve	involve	VERB
cana-827	103	8	migrating	migrate	VERB
cana-827	103	9	toward	toward	ADP
cana-827	103	10	superior	superior	ADJ
cana-827	103	11	solutions	solution	NOUN
cana-827	103	12	via	via	ADP
cana-827	103	13	neighbor	neighbor	NOUN
cana-827	103	14	search	search	NOUN
cana-827	103	15	processes	process	NOUN
cana-827	103	16	while	while	SCONJ
cana-827	103	17	discarding	discard	VERB
cana-827	103	18	inferior	inferior	ADJ
cana-827	103	19	alternatives	alternative	NOUN
cana-827	103	20	to	to	PART
cana-827	103	21	iteratively	iteratively	ADV
cana-827	103	22	enhance	enhance	VERB
cana-827	103	23	the	the	DET
cana-827	103	24	population	population	NOUN
cana-827	103	25	of	of	ADP
cana-827	103	26	randomly	randomly	ADV
cana-827	103	27	selected	select	VERB
cana-827	103	28	initial	initial	ADJ
cana-827	103	29	solution	solution	NOUN
cana-827	103	30	vectors[12	vectors[12	PROPN
cana-827	103	31	]	]	PUNCT
cana-827	103	32	.	.	PUNCT
cana-827	104	1	2.2.2.1	2.2.2.1	X
cana-827	104	2	.	.	PUNCT
cana-827	104	3	pseudocode	pseudocode	PROPN
cana-827	104	4	:	:	PUNCT
cana-827	104	5	initialisation	initialisation	NOUN
cana-827	104	6	:	:	PUNCT
cana-827	104	7	“	"	PUNCT
cana-827	104	8	initialize	initialize	VERB
cana-827	104	9	the	the	DET
cana-827	104	10	initial	initial	ADJ
cana-827	104	11	population	population	NOUN
cana-827	104	12	and	and	CCONJ
cana-827	104	13	evaluate	evaluate	VERB
cana-827	104	14	fitness[13	fitness[13	PROPN
cana-827	104	15	]	]	PUNCT
cana-827	104	16	;	;	PUNCT
cana-827	104	17	”	"	PUNCT
cana-827	104	18	“	"	PUNCT
cana-827	104	19	calculate	calculate	VERB
cana-827	104	20	the	the	DET
cana-827	104	21	intial	intial	ADJ
cana-827	104	22	cost	cost	NOUN
cana-827	104	23	function	function	NOUN
cana-827	104	24	value	value	NOUN
cana-827	104	25	,	,	PUNCT
cana-827	104	26	f(sol	f(sol	NOUN
cana-827	104	27	)	)	PUNCT
cana-827	104	28	”	"	PUNCT
cana-827	104	29	“	"	PUNCT
cana-827	104	30	set	set	VERB
cana-827	104	31	best	good	ADJ
cana-827	104	32	solution	solution	NOUN
cana-827	104	33	,	,	PUNCT
cana-827	104	34	solbest	solb	ADJ
cana-827	104	35	←	←	PROPN
cana-827	104	36	sol	sol	NOUN
cana-827	104	37	;	;	PUNCT
cana-827	104	38	”	"	PUNCT
cana-827	104	39	“	"	PUNCT
cana-827	104	40	set	set	VERB
cana-827	104	41	maximum	maximum	ADJ
cana-827	104	42	number	number	NOUN
cana-827	104	43	of	of	ADP
cana-827	104	44	iteration	iteration	NOUN
cana-827	104	45	,	,	PUNCT
cana-827	104	46	numoflte	numoflte	NOUN
cana-827	104	47	;	;	PUNCT
cana-827	104	48	”	"	PUNCT
cana-827	104	49	“	"	PUNCT
cana-827	104	50	set	set	VERB
cana-827	104	51	the	the	DET
cana-827	104	52	population	population	NOUN
cana-827	104	53	size	size	NOUN
cana-827	104	54	;	;	PUNCT
cana-827	104	55	”	"	PUNCT
cana-827	104	56	//where	//where	PUNCT
cana-827	105	1	population	population	NOUN
cana-827	105	2	size	size	NOUN
cana-827	105	3	=	=	SYM
cana-827	105	4	onlookerbee	onlookerbee	NOUN
cana-827	105	5	=	=	PUNCT
cana-827	105	6	employeedbee	employeedbee	NOUN
cana-827	105	7	;	;	PUNCT
cana-827	105	8	“	"	PUNCT
cana-827	105	9	iteration	iteration	NOUN
cana-827	105	10	←	←	PROPN
cana-827	105	11	0	0	NUM
cana-827	105	12	;	;	PUNCT
cana-827	105	13	”	"	PUNCT
cana-827	105	14	“	"	PUNCT
cana-827	105	15	improvement	improvement	NOUN
cana-827	105	16	:	:	PUNCT
cana-827	105	17	”	"	PUNCT
cana-827	105	18	“	"	PUNCT
cana-827	105	19	dowhile(iteration	dowhile(iteration	NOUN
cana-827	105	20	<	<	X
cana-827	105	21	numoflte	numoflte	NOUN
cana-827	105	22	)	)	PUNCT
cana-827	105	23	”	"	PUNCT
cana-827	105	24	“	"	PUNCT
cana-827	105	25	for	for	ADP
cana-827	105	26	i=1	i=1	PROPN
cana-827	105	27	:	:	PUNCT
cana-827	105	28	employedbee	employedbee	PROPN
cana-827	105	29	”	"	PUNCT
cana-827	105	30	“	"	PUNCT
cana-827	105	31	select	select	VERB
cana-827	105	32	a	a	DET
cana-827	105	33	random	random	ADJ
cana-827	105	34	solution	solution	NOUN
cana-827	105	35	and	and	CCONJ
cana-827	105	36	apply	apply	VERB
cana-827	105	37	random	random	ADJ
cana-827	105	38	neighborhood	neighborhood	NOUN
cana-827	105	39	structure	structure	NOUN
cana-827	105	40	;	;	PUNCT
cana-827	105	41	”	"	PUNCT
cana-827	105	42	sort	sort	VERB
cana-827	105	43	the	the	DET
cana-827	105	44	solutions	solution	NOUN
cana-827	105	45	in	in	ADP
cana-827	105	46	ascending	ascend	VERB
cana-827	105	47	order	order	NOUN
cana-827	105	48	based	base	VERB
cana-827	105	49	on	on	ADP
cana-827	105	50	the	the	DET
cana-827	105	51	penalty	penalty	NOUN
cana-827	105	52	cost	cost	NOUN
cana-827	105	53	;	;	PUNCT
cana-827	105	54	determine	determine	VERB
cana-827	105	55	the	the	DET
cana-827	105	56	probability	probability	NOUN
cana-827	105	57	for	for	ADP
cana-827	105	58	each	each	DET
cana-827	105	59	solution	solution	NOUN
cana-827	105	60	,	,	PUNCT
cana-827	105	61	based	base	VERB
cana-827	105	62	on	on	ADP
cana-827	105	63	the	the	DET
cana-827	105	64	following	follow	VERB
cana-827	105	65	formula	formula	NOUN
cana-827	105	66	:	:	PUNCT
cana-827	105	67	pi	pi	NOUN
cana-827	105	68	=	=	PUNCT
cana-827	105	69	∑	∑	PUNCT
cana-827	105	70	⬚	⬚	PROPN
cana-827	105	71	⬚	⬚	PROPN
cana-827	105	72	⬚	⬚	PROPN
cana-827	105	73	(	(	PUNCT
cana-827	105	74	1	1	NUM
cana-827	105	75	𝑓𝑖𝑡𝑖	𝑓𝑖𝑡𝑖	NOUN
cana-827	105	76	)	)	PUNCT
cana-827	105	77	−1	−1	NOUN
cana-827	105	78	𝑓𝑖𝑡𝑖	𝑓𝑖𝑡𝑖	NOUN
cana-827	105	79	end	end	VERB
cana-827	105	80	for	for	ADP
cana-827	105	81	for	for	ADP
cana-827	105	82	i=1	i=1	PROPN
cana-827	105	83	:	:	PUNCT
cana-827	105	84	onlookerbee	onlookerbee	PROPN
cana-827	105	85	sol	sol	PROPN
cana-827	105	86	*	*	X
cana-827	105	87	←	←	PROPN
cana-827	105	88	select	select	VERB
cana-827	105	89	the	the	DET
cana-827	105	90	solution	solution	NOUN
cana-827	105	91	who	who	PRON
cana-827	105	92	has	have	VERB
cana-827	105	93	the	the	DET
cana-827	105	94	higher	high	ADJ
cana-827	105	95	probability	probability	NOUN
cana-827	105	96	;	;	PUNCT
cana-827	105	97	sol	sol	NOUN
cana-827	105	98	*	*	PROPN
cana-827	105	99	*	*	PUNCT
cana-827	105	100	←	←	PROPN
cana-827	105	101	apply	apply	VERB
cana-827	105	102	a	a	DET
cana-827	105	103	random	random	ADJ
cana-827	105	104	nbs	nbs	NOUN
cana-827	105	105	on	on	ADP
cana-827	105	106	sol	sol	PROPN
cana-827	105	107	*	*	PROPN
cana-827	105	108	;	;	PUNCT
cana-827	105	109	if(sol	if(sol	VERB
cana-827	105	110	*	*	NOUN
cana-827	105	111	*	*	PUNCT
cana-827	105	112	<	<	X
cana-827	105	113	solbest	solb	ADJ
cana-827	105	114	)	)	PUNCT
cana-827	105	115	solbest	solbest	NOUN
cana-827	105	116	=	=	PUNCT
cana-827	105	117	sol	sol	NOUN
cana-827	105	118	*	*	PROPN
cana-827	105	119	*	*	PUNCT
cana-827	105	120	;	;	PUNCT
cana-827	105	121	end	end	VERB
cana-827	105	122	if	if	SCONJ
cana-827	105	123	end	end	NOUN
cana-827	105	124	for	for	ADP
cana-827	105	125	scoutbee	scoutbee	ADJ
cana-827	105	126	determines	determine	VERB
cana-827	105	127	the	the	DET
cana-827	105	128	abandoned	abandon	VERB
cana-827	105	129	food	food	NOUN
cana-827	105	130	source	source	NOUN
cana-827	105	131	and	and	CCONJ
cana-827	105	132	replace	replace	VERB
cana-827	105	133	it	it	PRON
cana-827	105	134	with	with	ADP
cana-827	105	135	the	the	DET
cana-827	105	136	new	new	ADJ
cana-827	105	137	food	food	NOUN
cana-827	105	138	source	source	NOUN
cana-827	105	139	iteration	iteration	NOUN
cana-827	105	140	+	+	PROPN
cana-827	105	141	+	+	ADJ
cana-827	105	142	;	;	PUNCT
cana-827	105	143	end	end	NOUN
cana-827	105	144	do	do	VERB
cana-827	105	145	2.3	2.3	NUM
cana-827	105	146	.	.	PUNCT
cana-827	106	1	understanding	understanding	NOUN
cana-827	106	2	of	of	ADP
cana-827	106	3	swarm	swarm	NOUN
cana-827	106	4	intelligence	intelligence	NOUN
cana-827	106	5	algorithms	algorithm	NOUN
cana-827	106	6	in	in	ADP
cana-827	106	7	drone	drone	NOUN
cana-827	106	8	intelligence	intelligence	NOUN
cana-827	106	9	2.3.1	2.3.1	PROPN
cana-827	106	10	.	.	PUNCT
cana-827	106	11	ant	ant	ADJ
cana-827	106	12	colony	colony	NOUN
cana-827	106	13	optimization	optimization	NOUN
cana-827	106	14	in	in	ADP
cana-827	106	15	drone	drone	NOUN
cana-827	106	16	intelligence	intelligence	NOUN
cana-827	106	17	an	an	DET
cana-827	106	18	effective	effective	ADJ
cana-827	106	19	optimisation	optimisation	NOUN
cana-827	106	20	system	system	NOUN
cana-827	106	21	that	that	PRON
cana-827	106	22	takes	take	VERB
cana-827	106	23	cues	cue	NOUN
cana-827	106	24	from	from	ADP
cana-827	106	25	ants	ant	NOUN
cana-827	106	26	’	'	PUNCT
cana-827	106	27	sociable	sociable	ADJ
cana-827	106	28	behaviour	behaviour	NOUN
cana-827	106	29	is	be	AUX
cana-827	106	30	called	call	VERB
cana-827	106	31	ant	ant	ADJ
cana-827	106	32	colony	colony	NOUN
cana-827	106	33	optimisation(aco	optimisation(aco	PROPN
cana-827	106	34	)	)	PUNCT
cana-827	106	35	.	.	PUNCT
cana-827	107	1	aco	aco	PROPN
cana-827	107	2	finds	find	VERB
cana-827	107	3	a	a	DET
cana-827	107	4	useful	useful	ADJ
cana-827	107	5	use	use	NOUN
cana-827	107	6	in	in	ADP
cana-827	107	7	drone	drone	NOUN
cana-827	107	8	technology	technology	NOUN
cana-827	107	9	,	,	PUNCT
cana-827	107	10	notably	notably	ADV
cana-827	107	11	in	in	ADP
cana-827	107	12	route	route	NOUN
cana-827	107	13	planning	planning	NOUN
cana-827	107	14	,	,	PUNCT
cana-827	107	15	communications	communication	NOUN
cana-827	107	16	on	on	ADP
cana-827	107	17	applied	apply	VERB
cana-827	107	18	nonlinear	nonlinear	ADJ
cana-827	107	19	analysis	analysis	NOUN
cana-827	107	20	issn	issn	NOUN
cana-827	107	21	:	:	PUNCT
cana-827	107	22	1074	1074	NUM
cana-827	107	23	-	-	PUNCT
cana-827	107	24	133x	133x	NUM
cana-827	107	25	vol	vol	NOUN
cana-827	107	26	31	31	NUM
cana-827	107	27	no	no	NOUN
cana-827	107	28	.	.	PUNCT
cana-827	108	1	4s	4s	NUM
cana-827	108	2	(	(	PUNCT
cana-827	108	3	2024	2024	NUM
cana-827	108	4	)	)	PUNCT
cana-827	108	5	29	29	NUM
cana-827	108	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	108	7	resource	resource	NOUN
cana-827	108	8	allocation	allocation	NOUN
cana-827	108	9	,	,	PUNCT
cana-827	108	10	and	and	CCONJ
cana-827	108	11	path	path	NOUN
cana-827	108	12	optimisation	optimisation	NOUN
cana-827	108	13	,	,	PUNCT
cana-827	108	14	thanks	thank	NOUN
cana-827	108	15	to	to	ADP
cana-827	108	16	its	its	PRON
cana-827	108	17	capacity	capacity	NOUN
cana-827	108	18	to	to	PART
cana-827	108	19	address	address	VERB
cana-827	108	20	complex	complex	ADJ
cana-827	108	21	optimisation	optimisation	NOUN
cana-827	108	22	problems.we	problems.we	NOUN
cana-827	108	23	explore	explore	VERB
cana-827	108	24	the	the	DET
cana-827	108	25	aco	aco	PROPN
cana-827	108	26	algorithm	algorithm	PROPN
cana-827	108	27	,	,	PUNCT
cana-827	108	28	its	its	PRON
cana-827	108	29	mathematical	mathematical	ADJ
cana-827	108	30	under	under	ADP
cana-827	108	31	pinnings	pinning	NOUN
cana-827	108	32	,	,	PUNCT
cana-827	108	33	data	datum	NOUN
cana-827	108	34	analysis	analysis	NOUN
cana-827	108	35	,	,	PUNCT
cana-827	108	36	and	and	CCONJ
cana-827	108	37	further	far	ADV
cana-827	108	38	expand	expand	VERB
cana-827	108	39	to	to	ADP
cana-827	108	40	real	real	ADJ
cana-827	108	41	-	-	PUNCT
cana-827	108	42	world	world	NOUN
cana-827	108	43	application	application	NOUN
cana-827	108	44	experiment	experiment	NOUN
cana-827	108	45	in	in	ADP
cana-827	108	46	drone	drone	NOUN
cana-827	108	47	technology	technology	NOUN
cana-827	108	48	in	in	ADP
cana-827	108	49	this	this	DET
cana-827	108	50	part[14	part[14	PROPN
cana-827	108	51	]	]	PUNCT
cana-827	108	52	.	.	PUNCT
cana-827	109	1	algorithm	algorithm	NOUN
cana-827	109	2	:	:	PUNCT
cana-827	109	3	initialization	initialization	NOUN
cana-827	109	4	:	:	PUNCT
cana-827	109	5	produce	produce	VERB
cana-827	109	6	and	and	CCONJ
cana-827	109	7	artificial	artificial	ADJ
cana-827	109	8	ant	ant	ADJ
cana-827	109	9	colony	colony	NOUN
cana-827	109	10	with	with	ADP
cana-827	109	11	each	each	DET
cana-827	109	12	ant	ant	NOUN
cana-827	109	13	standing	stand	VERB
cana-827	109	14	in	in	ADP
cana-827	109	15	for	for	ADP
cana-827	109	16	a	a	DET
cana-827	109	17	potential	potential	ADJ
cana-827	109	18	drone	drone	NOUN
cana-827	109	19	flight	flight	NOUN
cana-827	109	20	path	path	NOUN
cana-827	109	21	.	.	PUNCT
cana-827	110	1	ants	ant	NOUN
cana-827	110	2	construct	construct	VERB
cana-827	110	3	solutions	solution	NOUN
cana-827	110	4	repeatedly	repeatedly	ADV
cana-827	110	5	by	by	ADP
cana-827	110	6	building	build	VERB
cana-827	110	7	a	a	DET
cana-827	110	8	route	route	NOUN
cana-827	110	9	as	as	SCONJ
cana-827	110	10	they	they	PRON
cana-827	110	11	go	go	VERB
cana-827	110	12	from	from	ADP
cana-827	110	13	one	one	NUM
cana-827	110	14	spot	spot	NOUN
cana-827	110	15	to	to	ADP
cana-827	110	16	another	another	DET
cana-827	110	17	analyse	analyse	NOUN
cana-827	110	18	each	each	DET
cana-827	110	19	solution	solution	NOUN
cana-827	110	20	’s	’s	PART
cana-827	110	21	quality	quality	NOUN
cana-827	110	22	by	by	ADP
cana-827	110	23	evaluating	evaluate	VERB
cana-827	110	24	it	it	PRON
cana-827	110	25	.	.	PUNCT
cana-827	111	1	this	this	PRON
cana-827	111	2	might	might	AUX
cana-827	111	3	refer	refer	VERB
cana-827	111	4	to	to	ADP
cana-827	111	5	a	a	DET
cana-827	111	6	drone	drone	NOUN
cana-827	111	7	’s	’s	PART
cana-827	111	8	path	path	NOUN
cana-827	111	9	length	length	NOUN
cana-827	111	10	,	,	PUNCT
cana-827	111	11	flying	fly	VERB
cana-827	111	12	time	time	NOUN
cana-827	111	13	,	,	PUNCT
cana-827	111	14	or	or	CCONJ
cana-827	111	15	energy	energy	NOUN
cana-827	111	16	use	use	NOUN
cana-827	111	17	.	.	PUNCT
cana-827	112	1	pheromone	pheromone	NOUN
cana-827	112	2	update	update	NOUN
cana-827	112	3	:	:	PUNCT
cana-827	112	4	ants	ant	NOUN
cana-827	112	5	leave	leave	VERB
cana-827	112	6	pheromones	pheromone	NOUN
cana-827	112	7	,	,	PUNCT
cana-827	112	8	which	which	PRON
cana-827	112	9	indicate	indicate	VERB
cana-827	112	10	how	how	SCONJ
cana-827	112	11	pleasant	pleasant	ADJ
cana-827	112	12	a	a	DET
cana-827	112	13	path	path	NOUN
cana-827	112	14	is	be	AUX
cana-827	112	15	,	,	PUNCT
cana-827	112	16	on	on	ADP
cana-827	112	17	it	it	PRON
cana-827	112	18	.	.	PUNCT
cana-827	113	1	ants	ant	NOUN
cana-827	113	2	choose	choose	VERB
cana-827	113	3	their	their	PRON
cana-827	113	4	routes	route	NOUN
cana-827	113	5	by	by	ADP
cana-827	113	6	exploitation	exploitation	NOUN
cana-827	113	7	(	(	PUNCT
cana-827	113	8	balancing	balance	VERB
cana-827	113	9	higher	high	ADJ
cana-827	113	10	pheromones	pheromone	NOUN
cana-827	113	11	)	)	PUNCT
cana-827	113	12	an	an	DET
cana-827	113	13	exploration	exploration	NOUN
cana-827	113	14	(	(	PUNCT
cana-827	113	15	seeking	seek	VERB
cana-827	113	16	for	for	ADP
cana-827	113	17	new	new	ADJ
cana-827	113	18	passageways	passageway	NOUN
cana-827	113	19	)	)	PUNCT
cana-827	113	20	.	.	PUNCT
cana-827	114	1	mathematical	mathematical	ADJ
cana-827	114	2	explanation	explanation	NOUN
cana-827	114	3	:	:	PUNCT
cana-827	114	4	let	let	VERB
cana-827	114	5	’s	’s	NOUN
cana-827	114	6	look	look	VERB
cana-827	114	7	at	at	ADP
cana-827	114	8	a	a	DET
cana-827	114	9	case	case	NOUN
cana-827	114	10	where	where	SCONJ
cana-827	114	11	aco	aco	PROPN
cana-827	114	12	is	be	AUX
cana-827	114	13	used	use	VERB
cana-827	114	14	to	to	PART
cana-827	114	15	find	find	VERB
cana-827	114	16	the	the	DET
cana-827	114	17	best	good	ADJ
cana-827	114	18	route	route	NOUN
cana-827	114	19	for	for	ADP
cana-827	114	20	a	a	DET
cana-827	114	21	droneto	droneto	NOUN
cana-827	114	22	take	take	NOUN
cana-827	114	23	from	from	ADP
cana-827	114	24	its	its	PRON
cana-827	114	25	starting	starting	NOUN
cana-827	114	26	point	point	NOUN
cana-827	114	27	to	to	ADP
cana-827	114	28	its	its	PRON
cana-827	114	29	final	final	ADJ
cana-827	114	30	destination	destination	NOUN
cana-827	114	31	while	while	SCONJ
cana-827	114	32	travelling	travel	VERB
cana-827	114	33	through	through	ADP
cana-827	114	34	a	a	DET
cana-827	114	35	number	number	NOUN
cana-827	114	36	of	of	ADP
cana-827	114	37	intermediate	intermediate	ADJ
cana-827	114	38	place(p1,p2,	place(p1,p2,	NOUN
cana-827	114	39	.....	.....	PUNCT
cana-827	114	40	,pn	,pn	NUM
cana-827	114	41	)	)	PUNCT
cana-827	114	42	.	.	PUNCT
cana-827	115	1	decision	decision	NOUN
cana-827	115	2	variables	variable	NOUN
cana-827	115	3	:	:	PUNCT
cana-827	115	4	a	a	DET
cana-827	115	5	series	series	NOUN
cana-827	115	6	of	of	ADP
cana-827	115	7	points	point	NOUN
cana-827	115	8	,	,	PUNCT
cana-827	115	9	such	such	ADJ
cana-827	115	10	as[s	as[s	PROPN
cana-827	115	11	,	,	PUNCT
cana-827	115	12	p1,p2,	p1,p2,	PROPN
cana-827	115	13	...	...	PUNCT
cana-827	116	1	pn	pn	NOUN
cana-827	116	2	,	,	PUNCT
cana-827	116	3	d	d	NOUN
cana-827	116	4	]	]	X
cana-827	116	5	,	,	PUNCT
cana-827	116	6	can	can	AUX
cana-827	116	7	be	be	AUX
cana-827	116	8	used	use	VERB
cana-827	116	9	to	to	PART
cana-827	116	10	indicate	indicate	VERB
cana-827	116	11	the	the	DET
cana-827	116	12	drones	drone	NOUN
cana-827	116	13	route	route	NOUN
cana-827	116	14	.	.	PUNCT
cana-827	117	1	minimising	minimise	VERB
cana-827	117	2	the	the	DET
cana-827	117	3	overall	overall	ADJ
cana-827	117	4	distance	distance	NOUN
cana-827	117	5	or	or	CCONJ
cana-827	117	6	time	time	NOUN
cana-827	117	7	it	it	PRON
cana-827	117	8	takes	take	VERB
cana-827	117	9	the	the	DET
cana-827	117	10	drone	drone	NOUN
cana-827	117	11	to	to	PART
cana-827	117	12	get	get	VERB
cana-827	117	13	fom	fom	NOUN
cana-827	117	14	point	point	NOUN
cana-827	117	15	s	s	VERB
cana-827	117	16	to	to	PART
cana-827	117	17	point	point	VERB
cana-827	117	18	d	d	PROPN
cana-827	117	19	while	while	SCONJ
cana-827	117	20	passing	pass	VERB
cana-827	117	21	through	through	ADP
cana-827	117	22	the	the	DET
cana-827	117	23	intermediate	intermediate	ADJ
cana-827	117	24	spots	spot	NOUN
cana-827	117	25	is	be	AUX
cana-827	117	26	the	the	DET
cana-827	117	27	goal	goal	NOUN
cana-827	117	28	.	.	PUNCT
cana-827	118	1	pheromone	pheromone	NOUN
cana-827	118	2	matrix(τ	matrix(τ	NOUN
cana-827	118	3	):	):	PUNCT
cana-827	118	4	a	a	DET
cana-827	118	5	matrix	matrix	NOUN
cana-827	118	6	that	that	PRON
cana-827	118	7	shows	show	VERB
cana-827	118	8	theconcentrations	theconcentration	NOUN
cana-827	118	9	of	of	ADP
cana-827	118	10	pheromones	pheromone	NOUN
cana-827	118	11	along	along	ADP
cana-827	118	12	various	various	ADJ
cana-827	118	13	pathways	pathway	NOUN
cana-827	118	14	.	.	PUNCT
cana-827	119	1	it	it	PRON
cana-827	119	2	is	be	AUX
cana-827	119	3	often	often	ADV
cana-827	119	4	first	first	ADV
cana-827	119	5	set	set	VERB
cana-827	119	6	to	to	ADP
cana-827	119	7	somewhat	somewhat	ADV
cana-827	119	8	positive	positive	ADJ
cana-827	119	9	levels	level	NOUN
cana-827	119	10	.	.	PUNCT
cana-827	120	1	a	a	DET
cana-827	120	2	matrix	matrix	NOUN
cana-827	120	3	that	that	PRON
cana-827	120	4	indicates	indicate	VERB
cana-827	120	5	whether	whether	SCONJ
cana-827	120	6	traveling	travel	VERB
cana-827	120	7	from	from	ADP
cana-827	120	8	one	one	NUM
cana-827	120	9	position	position	NOUN
cana-827	120	10	to	to	ADP
cana-827	120	11	another	another	PRON
cana-827	120	12	is	be	AUX
cana-827	120	13	desirable	desirable	ADJ
cana-827	120	14	is	be	AUX
cana-827	120	15	known	know	VERB
cana-827	120	16	as	as	ADP
cana-827	120	17	heuristic	heuristic	ADJ
cana-827	120	18	information(η	information(η	PROPN
cana-827	120	19	)	)	PUNCT
cana-827	120	20	.	.	PUNCT
cana-827	121	1	it	it	PRON
cana-827	121	2	may	may	AUX
cana-827	121	3	depend	depend	VERB
cana-827	121	4	on	on	ADP
cana-827	121	5	elementslike	elementslike	ADJ
cana-827	121	6	distance	distance	NOUN
cana-827	121	7	or	or	CCONJ
cana-827	121	8	cost	cost	NOUN
cana-827	121	9	.	.	PUNCT
cana-827	122	1	an	an	DET
cana-827	122	2	ant	ant	NOUN
cana-827	122	3	’s	’s	PART
cana-827	122	4	likelihood	likelihood	NOUN
cana-827	122	5	of	of	ADP
cana-827	122	6	migrating	migrate	VERB
cana-827	122	7	from	from	ADP
cana-827	122	8	position	position	NOUN
cana-827	122	9	i	i	PRON
cana-827	122	10	to	to	PART
cana-827	122	11	point	point	VERB
cana-827	122	12	j	j	PROPN
cana-827	122	13	is	be	AUX
cana-827	122	14	determined	determine	VERB
cana-827	122	15	by	by	ADP
cana-827	122	16	the	the	DET
cana-827	122	17	following	follow	VERB
cana-827	122	18	formula	formula	NOUN
cana-827	122	19	:	:	PUNCT
cana-827	122	20	𝑃	𝑃	VERB
cana-827	122	21	𝑘	𝑘	X
cana-827	122	22	𝑖𝑗	𝑖𝑗	X
cana-827	122	23	(	(	PUNCT
cana-827	122	24	𝑡	𝑡	NOUN
cana-827	122	25	)	)	PUNCT
cana-827	122	26	=	=	PUNCT
cana-827	123	1	[	[	X
cana-827	123	2	𝜏𝑖𝑗(𝑡)^𝛼].[𝜂𝑖𝑗^𝛽	𝜏𝑖𝑗(𝑡)^𝛼].[𝜂𝑖𝑗^𝛽	X
cana-827	123	3	]	]	X
cana-827	123	4	𝛴[𝜏𝑖𝑗(𝑡)^𝛼].[𝜂𝑖𝑗^𝛽	𝛴[𝜏𝑖𝑗(𝑡)^𝛼].[𝜂𝑖𝑗^𝛽	NOUN
cana-827	123	5	]	]	PUNCT
cana-827	123	6	(	(	PUNCT
cana-827	123	7	1	1	X
cana-827	123	8	)	)	PUNCT
cana-827	123	9	pk	pk	NOUN
cana-827	123	10	ij	ij	NOUN
cana-827	123	11	:	:	PUNCT
cana-827	123	12	this	this	PRON
cana-827	123	13	represents	represent	VERB
cana-827	123	14	the	the	DET
cana-827	123	15	probability	probability	NOUN
cana-827	123	16	of	of	ADP
cana-827	123	17	a	a	DET
cana-827	123	18	specific	specific	ADJ
cana-827	123	19	ant	ant	NOUN
cana-827	123	20	(	(	PUNCT
cana-827	123	21	k	k	NOUN
cana-827	123	22	)	)	PUNCT
cana-827	123	23	moving	move	VERB
cana-827	123	24	from	from	ADP
cana-827	123	25	a	a	DET
cana-827	123	26	point	point	NOUN
cana-827	123	27	i	i	PRON
cana-827	123	28	to	to	ADP
cana-827	123	29	another	another	DET
cana-827	123	30	point	point	NOUN
cana-827	123	31	j	j	PROPN
cana-827	123	32	in	in	ADP
cana-827	123	33	the	the	DET
cana-827	123	34	search	search	NOUN
cana-827	123	35	space	space	NOUN
cana-827	123	36	.	.	PUNCT
cana-827	124	1	τ	τ	PROPN
cana-827	125	1	ij	ij	ADP
cana-827	125	2	:	:	PUNCT
cana-827	125	3	this	this	DET
cana-827	125	4	term	term	NOUN
cana-827	125	5	corresponds	correspond	VERB
cana-827	125	6	to	to	ADP
cana-827	125	7	the	the	DET
cana-827	125	8	amount	amount	NOUN
cana-827	125	9	of	of	ADP
cana-827	125	10	pheromone	pheromone	NOUN
cana-827	125	11	on	on	ADP
cana-827	125	12	the	the	DET
cana-827	125	13	path	path	NOUN
cana-827	125	14	from	from	ADP
cana-827	125	15	point	point	NOUN
cana-827	125	16	i	i	PRON
cana-827	125	17	to	to	PART
cana-827	125	18	point	point	VERB
cana-827	125	19	j.	j.	PROPN
cana-827	125	20	pheromones	pheromone	NOUN
cana-827	125	21	,	,	PUNCT
cana-827	125	22	in	in	ADP
cana-827	125	23	the	the	DET
cana-827	125	24	context	context	NOUN
cana-827	125	25	of	of	ADP
cana-827	125	26	aco	aco	PROPN
cana-827	125	27	,	,	PUNCT
cana-827	125	28	represent	represent	VERB
cana-827	125	29	the	the	DET
cana-827	125	30	attractiveness	attractiveness	NOUN
cana-827	125	31	of	of	ADP
cana-827	125	32	a	a	DET
cana-827	125	33	path	path	NOUN
cana-827	125	34	based	base	VERB
cana-827	125	35	on	on	ADP
cana-827	125	36	historical	historical	ADJ
cana-827	125	37	ant	ant	ADJ
cana-827	125	38	movement	movement	NOUN
cana-827	125	39	.	.	PUNCT
cana-827	126	1	paths	path	NOUN
cana-827	126	2	with	with	ADP
cana-827	126	3	higher	high	ADJ
cana-827	126	4	pheromone	pheromone	NOUN
cana-827	126	5	levels	level	NOUN
cana-827	126	6	are	be	AUX
cana-827	126	7	more	more	ADV
cana-827	126	8	attractive	attractive	ADJ
cana-827	126	9	to	to	ADP
cana-827	126	10	ants	ant	NOUN
cana-827	126	11	.	.	PUNCT
cana-827	127	1	η	η	PROPN
cana-827	127	2	ij	ij	PROPN
cana-827	127	3	:	:	PUNCT
cana-827	127	4	this	this	DET
cana-827	127	5	term	term	NOUN
cana-827	127	6	denotes	denote	VERB
cana-827	127	7	the	the	DET
cana-827	127	8	heuristic	heuristic	ADJ
cana-827	127	9	information	information	NOUN
cana-827	127	10	,	,	PUNCT
cana-827	127	11	which	which	PRON
cana-827	127	12	indicates	indicate	VERB
cana-827	127	13	the	the	DET
cana-827	127	14	desirability	desirability	NOUN
cana-827	127	15	of	of	ADP
cana-827	127	16	moving	move	VERB
cana-827	127	17	from	from	ADP
cana-827	127	18	point	point	NOUN
cana-827	127	19	i	i	PRON
cana-827	127	20	to	to	PART
cana-827	127	21	point	point	VERB
cana-827	127	22	j.	j.	PROPN
cana-827	127	23	it	it	PRON
cana-827	127	24	typically	typically	ADV
cana-827	127	25	encapsulates	encapsulate	VERB
cana-827	127	26	some	some	DET
cana-827	127	27	measure	measure	NOUN
cana-827	127	28	related	relate	VERB
cana-827	127	29	to	to	ADP
cana-827	127	30	distance	distance	NOUN
cana-827	127	31	,	,	PUNCT
cana-827	127	32	cost	cost	NOUN
cana-827	127	33	,	,	PUNCT
cana-827	127	34	or	or	CCONJ
cana-827	127	35	any	any	DET
cana-827	127	36	other	other	ADJ
cana-827	127	37	relevant	relevant	ADJ
cana-827	127	38	metric	metric	NOUN
cana-827	127	39	.	.	PUNCT
cana-827	128	1	α	α	PROPN
cana-827	128	2	and	and	CCONJ
cana-827	128	3	β	β	X
cana-827	128	4	:	:	PUNCT
cana-827	128	5	these	these	PRON
cana-827	128	6	are	be	AUX
cana-827	128	7	parameters	parameter	NOUN
cana-827	128	8	that	that	PRON
cana-827	128	9	control	control	VERB
cana-827	128	10	the	the	DET
cana-827	128	11	influence	influence	NOUN
cana-827	128	12	of	of	ADP
cana-827	128	13	pheromone	pheromone	NOUN
cana-827	128	14	and	and	CCONJ
cana-827	128	15	heuristic	heuristic	ADJ
cana-827	128	16	information	information	NOUN
cana-827	128	17	,	,	PUNCT
cana-827	128	18	respectively	respectively	ADV
cana-827	128	19	,	,	PUNCT
cana-827	128	20	on	on	ADP
cana-827	128	21	the	the	DET
cana-827	128	22	ant	ant	NOUN
cana-827	128	23	's	's	PART
cana-827	128	24	decision	decision	NOUN
cana-827	128	25	-	-	PUNCT
cana-827	128	26	making	making	NOUN
cana-827	128	27	.	.	PUNCT
cana-827	129	1	a	a	DET
cana-827	129	2	higher	high	ADJ
cana-827	129	3	value	value	NOUN
cana-827	129	4	of	of	ADP
cana-827	129	5	α	α	PROPN
cana-827	129	6	emphasizes	emphasize	VERB
cana-827	129	7	the	the	DET
cana-827	129	8	importance	importance	NOUN
cana-827	129	9	of	of	ADP
cana-827	129	10	pheromones	pheromone	NOUN
cana-827	129	11	,	,	PUNCT
cana-827	129	12	while	while	SCONJ
cana-827	129	13	a	a	DET
cana-827	129	14	higher	high	ADJ
cana-827	129	15	value	value	NOUN
cana-827	129	16	of	of	ADP
cana-827	129	17	β	β	X
cana-827	129	18	emphasizes	emphasize	VERB
cana-827	129	19	the	the	DET
cana-827	129	20	importance	importance	NOUN
cana-827	129	21	of	of	ADP
cana-827	129	22	heuristic	heuristic	ADJ
cana-827	129	23	information	information	NOUN
cana-827	129	24	.	.	PUNCT
cana-827	130	1	∑((τ	∑((τ	NOUN
cana-827	130	2	ij^α	ij^α	NOUN
cana-827	130	3	)	)	PUNCT
cana-827	130	4	*	*	PUNCT
cana-827	131	1	(	(	PUNCT
cana-827	131	2	η	η	PROPN
cana-827	131	3	ij^β	ij^β	PROPN
cana-827	131	4	)	)	PUNCT
cana-827	131	5	):	):	PUNCT
cana-827	131	6	this	this	DET
cana-827	131	7	part	part	NOUN
cana-827	131	8	of	of	ADP
cana-827	131	9	the	the	DET
cana-827	131	10	equation	equation	NOUN
cana-827	131	11	involves	involve	VERB
cana-827	131	12	summing	sum	VERB
cana-827	131	13	up	up	ADP
cana-827	131	14	the	the	DET
cana-827	131	15	calculated	calculated	ADJ
cana-827	131	16	values	value	NOUN
cana-827	131	17	of	of	ADP
cana-827	131	18	(	(	PUNCT
cana-827	131	19	τ	τ	X
cana-827	131	20	ij^α	ij^α	PROPN
cana-827	131	21	)	)	PUNCT
cana-827	131	22	*	*	PUNCT
cana-827	132	1	(	(	PUNCT
cana-827	132	2	η	η	PROPN
cana-827	132	3	ij^β	ij^β	PROPN
cana-827	132	4	)	)	PUNCT
cana-827	132	5	for	for	ADP
cana-827	132	6	all	all	DET
cana-827	132	7	possible	possible	ADJ
cana-827	132	8	paths	path	NOUN
cana-827	132	9	from	from	ADP
cana-827	132	10	point	point	NOUN
cana-827	132	11	i	i	PRON
cana-827	132	12	to	to	ADP
cana-827	132	13	all	all	DET
cana-827	132	14	other	other	ADJ
cana-827	132	15	points	point	NOUN
cana-827	132	16	.	.	PUNCT
cana-827	133	1	it	it	PRON
cana-827	133	2	essentially	essentially	ADV
cana-827	133	3	normalizes	normalize	VERB
cana-827	133	4	the	the	DET
cana-827	133	5	probabilities	probability	NOUN
cana-827	133	6	so	so	SCONJ
cana-827	133	7	that	that	SCONJ
cana-827	133	8	they	they	PRON
cana-827	133	9	add	add	VERB
cana-827	133	10	up	up	ADP
cana-827	133	11	to	to	PART
cana-827	133	12	1	1	NUM
cana-827	133	13	,	,	PUNCT
cana-827	133	14	ensuring	ensure	VERB
cana-827	133	15	a	a	DET
cana-827	133	16	proper	proper	ADJ
cana-827	133	17	probability	probability	NOUN
cana-827	133	18	distribution	distribution	NOUN
cana-827	133	19	.	.	PUNCT
cana-827	134	1	pheromone	pheromone	NOUN
cana-827	134	2	update	update	NOUN
cana-827	134	3	:	:	PUNCT
cana-827	134	4	a	a	DET
cana-827	134	5	pheromone	pheromone	NOUN
cana-827	134	6	was	be	AUX
cana-827	134	7	left	leave	VERB
cana-827	134	8	on	on	ADP
cana-827	134	9	path(i	path(i	PROPN
cana-827	134	10	,	,	PUNCT
cana-827	134	11	j	j	PROPN
cana-827	134	12	)	)	PUNCT
cana-827	134	13	by	by	ADP
cana-827	134	14	ant	ant	ADJ
cana-827	135	1	k.	k.	PROPN
cana-827	136	1	𝛥𝜏	𝛥𝜏	PROPN
cana-827	136	2	𝑖	𝑖	PRON
cana-827	136	3	𝑗^𝑘	𝑗^𝑘	NOUN
cana-827	136	4	(	(	PUNCT
cana-827	136	5	𝑡	𝑡	NOUN
cana-827	136	6	)	)	PUNCT
cana-827	136	7	=	=	SYM
cana-827	136	8	𝑄	𝑄	PROPN
cana-827	136	9	𝐿	𝐿	NOUN
cana-827	136	10	𝑘	𝑘	PROPN
cana-827	136	11	(	(	PUNCT
cana-827	136	12	2	2	NUM
cana-827	136	13	)	)	PUNCT
cana-827	136	14	communications	communication	NOUN
cana-827	136	15	on	on	ADP
cana-827	136	16	applied	apply	VERB
cana-827	136	17	nonlinear	nonlinear	ADJ
cana-827	136	18	analysis	analysis	NOUN
cana-827	136	19	issn	issn	NOUN
cana-827	136	20	:	:	PUNCT
cana-827	136	21	1074	1074	NUM
cana-827	136	22	-	-	PUNCT
cana-827	136	23	133x	133x	NUM
cana-827	136	24	vol	vol	NOUN
cana-827	136	25	31	31	NUM
cana-827	136	26	no	no	NOUN
cana-827	136	27	.	.	PUNCT
cana-827	137	1	4s	4s	NUM
cana-827	137	2	(	(	PUNCT
cana-827	137	3	2024	2024	NUM
cana-827	137	4	)	)	PUNCT
cana-827	137	5	30	30	NUM
cana-827	137	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	137	7	where	where	SCONJ
cana-827	137	8	:	:	PUNCT
cana-827	137	9	δτi	δτi	NOUN
cana-827	137	10	/	/	SYM
cana-827	137	11	j^k	j^k	NOUN
cana-827	137	12	:	:	PUNCT
cana-827	137	13	represents	represent	VERB
cana-827	137	14	the	the	DET
cana-827	137	15	amount	amount	NOUN
cana-827	137	16	of	of	ADP
cana-827	137	17	pheromone	pheromone	NOUN
cana-827	137	18	deposited	deposit	VERB
cana-827	137	19	by	by	ADP
cana-827	137	20	ant	ant	ADJ
cana-827	137	21	k	k	PROPN
cana-827	137	22	on	on	ADP
cana-827	137	23	path	path	NOUN
cana-827	137	24	(	(	PUNCT
cana-827	137	25	i	i	PROPN
cana-827	137	26	,	,	PUNCT
cana-827	137	27	j	j	PROPN
cana-827	137	28	)	)	PUNCT
cana-827	137	29	.	.	PUNCT
cana-827	138	1	q	q	X
cana-827	138	2	:	:	PUNCT
cana-827	138	3	is	be	AUX
cana-827	138	4	a	a	DET
cana-827	138	5	constant	constant	ADJ
cana-827	138	6	representing	represent	VERB
cana-827	138	7	the	the	DET
cana-827	138	8	amount	amount	NOUN
cana-827	138	9	of	of	ADP
cana-827	138	10	pheromone	pheromone	NOUN
cana-827	138	11	deposited	deposit	VERB
cana-827	138	12	by	by	ADP
cana-827	138	13	ant	ant	PROPN
cana-827	138	14	k.	k.	PROPN
cana-827	138	15	l	l	PROPN
cana-827	138	16	,	,	PUNCT
cana-827	138	17	k	k	NOUN
cana-827	138	18	:	:	PUNCT
cana-827	138	19	is	be	AUX
cana-827	138	20	the	the	DET
cana-827	138	21	length	length	NOUN
cana-827	138	22	or	or	CCONJ
cana-827	138	23	cost	cost	NOUN
cana-827	138	24	of	of	ADP
cana-827	138	25	the	the	DET
cana-827	138	26	path	path	NOUN
cana-827	138	27	taken	take	VERB
cana-827	138	28	by	by	ADP
cana-827	138	29	ant	ant	PROPN
cana-827	138	30	k.	k.	PROPN
cana-827	139	1	an	an	DET
cana-827	139	2	ant	ant	NOUN
cana-827	139	3	assesses	assess	VERB
cana-827	139	4	the	the	DET
cana-827	139	5	quality	quality	NOUN
cana-827	139	6	of	of	ADP
cana-827	139	7	thee	thee	NOUN
cana-827	139	8	solution	solution	NOUN
cana-827	139	9	after	after	ADP
cana-827	139	10	finishing	finish	VERB
cana-827	139	11	its	its	PRON
cana-827	139	12	trip	trip	NOUN
cana-827	139	13	.	.	PUNCT
cana-827	140	1	the	the	DET
cana-827	140	2	ant	ant	ADJ
cana-827	140	3	places	place	VERB
cana-827	140	4	more	more	ADJ
cana-827	140	5	pheromone	pheromone	NOUN
cana-827	140	6	on	on	ADP
cana-827	140	7	the	the	DET
cana-827	140	8	path	path	NOUN
cana-827	140	9	to	to	PART
cana-827	140	10	signal	signal	VERB
cana-827	140	11	success	success	NOUN
cana-827	140	12	if	if	SCONJ
cana-827	140	13	the	the	DET
cana-827	140	14	solution	solution	NOUN
cana-827	140	15	is	be	AUX
cana-827	140	16	superior	superior	ADJ
cana-827	140	17	.	.	PUNCT
cana-827	141	1	the	the	DET
cana-827	141	2	amount	amount	NOUN
cana-827	141	3	of	of	ADP
cana-827	141	4	pheromone	pheromone	NOUN
cana-827	141	5	deposited	deposit	VERB
cana-827	141	6	is	be	AUX
cana-827	141	7	determined	determine	VERB
cana-827	141	8	by	by	ADP
cana-827	141	9	the	the	DET
cana-827	141	10	constant	constant	ADJ
cana-827	141	11	q.	q.	NOUN
cana-827	141	12	greater	great	ADJ
cana-827	141	13	preference	preference	NOUN
cana-827	141	14	for	for	ADP
cana-827	141	15	routes	route	NOUN
cana-827	141	16	that	that	PRON
cana-827	141	17	led	lead	VERB
cana-827	141	18	to	to	ADP
cana-827	141	19	better	well	ADJ
cana-827	141	20	solutions	solution	NOUN
cana-827	141	21	is	be	AUX
cana-827	141	22	shown	show	VERB
cana-827	141	23	by	by	ADP
cana-827	141	24	grater	grater	NOUN
cana-827	141	25	pheromone	pheromone	NOUN
cana-827	141	26	levels	level	NOUN
cana-827	141	27	,	,	PUNCT
cana-827	141	28	which	which	PRON
cana-827	141	29	are	be	AUX
cana-827	141	30	correlated	correlate	VERB
cana-827	141	31	with	with	ADP
cana-827	141	32	bigger	big	ADJ
cana-827	141	33	q	q	NOUN
cana-827	141	34	the	the	DET
cana-827	141	35	denominator	denominator	NOUN
cana-827	141	36	is	be	AUX
cana-827	141	37	the	the	DET
cana-827	141	38	length	length	NOUN
cana-827	141	39	r	r	NOUN
cana-827	141	40	price	price	NOUN
cana-827	141	41	of	of	ADP
cana-827	141	42	the	the	DET
cana-827	141	43	path	path	NOUN
cana-827	141	44	the	the	DET
cana-827	141	45	ant	ant	ADJ
cana-827	141	46	took(l	took(l	PROPN
cana-827	141	47	k	k	PROPN
cana-827	141	48	)	)	PUNCT
cana-827	141	49	.	.	PUNCT
cana-827	142	1	the	the	DET
cana-827	142	2	increased	increase	VERB
cana-827	142	3	appeal	appeal	NOUN
cana-827	142	4	of	of	ADP
cana-827	142	5	shorter	short	ADJ
cana-827	142	6	pathways	pathway	NOUN
cana-827	142	7	is	be	AUX
cana-827	142	8	correlated	correlate	VERB
cana-827	142	9	with	with	ADP
cana-827	142	10	the	the	DET
cana-827	142	11	proportionately	proportionately	ADV
cana-827	142	12	greater	great	ADJ
cana-827	142	13	pheromone	pheromone	NOUN
cana-827	142	14	exposure	exposure	NOUN
cana-827	142	15	.	.	PUNCT
cana-827	143	1	because	because	SCONJ
cana-827	143	2	more	more	ADJ
cana-827	143	3	ants	ant	NOUN
cana-827	143	4	are	be	AUX
cana-827	143	5	likely	likely	ADJ
cana-827	143	6	to	to	PART
cana-827	143	7	choose	choose	VERB
cana-827	143	8	such	such	ADJ
cana-827	143	9	pathways	pathway	NOUN
cana-827	143	10	in	in	ADP
cana-827	143	11	later	late	ADJ
cana-827	143	12	iterations	iteration	NOUN
cana-827	143	13	,	,	PUNCT
cana-827	143	14	paths	path	NOUN
cana-827	143	15	with	with	ADP
cana-827	143	16	greater	great	ADJ
cana-827	143	17	pheromone	pheromone	NOUN
cana-827	143	18	concentrations	concentration	NOUN
cana-827	143	19	attract	attract	VERB
cana-827	143	20	other	other	ADJ
cana-827	143	21	antsmore	antsmore	NOUN
cana-827	143	22	over	over	ADP
cana-827	143	23	time	time	NOUN
cana-827	143	24	.	.	PUNCT
cana-827	144	1	this	this	PRON
cana-827	144	2	creates	create	VERB
cana-827	144	3	a	a	DET
cana-827	144	4	positive	positive	ADJ
cana-827	144	5	feedback	feedback	NOUN
cana-827	144	6	loop	loop	NOUN
cana-827	144	7	where	where	SCONJ
cana-827	144	8	more	more	ADJ
cana-827	144	9	ants	ant	NOUN
cana-827	144	10	are	be	AUX
cana-827	144	11	drawn	draw	VERB
cana-827	144	12	to	to	ADP
cana-827	144	13	the	the	DET
cana-827	144	14	better	well	ADJ
cana-827	144	15	pathways	pathway	NOUN
cana-827	144	16	,	,	PUNCT
cana-827	144	17	thus	thus	ADV
cana-827	144	18	enhancing	enhance	VERB
cana-827	144	19	their	their	PRON
cana-827	144	20	allure	allure	NOUN
cana-827	144	21	.	.	PUNCT
cana-827	145	1	as	as	SCONJ
cana-827	145	2	ants	ant	NOUN
cana-827	145	3	jointly	jointly	ADV
cana-827	145	4	explore	explore	VERB
cana-827	145	5	the	the	DET
cana-827	145	6	search	search	NOUN
cana-827	145	7	space	space	NOUN
cana-827	145	8	,	,	PUNCT
cana-827	145	9	the	the	DET
cana-827	145	10	aco	aco	PROPN
cana-827	145	11	algorithm	algorithm	NOUN
cana-827	145	12	converges	converge	VERB
cana-827	145	13	towards	towards	ADP
cana-827	145	14	superior	superior	ADJ
cana-827	145	15	solutions	solution	NOUN
cana-827	145	16	.	.	PUNCT
cana-827	146	1	this	this	DET
cana-827	146	2	approach	approach	NOUN
cana-827	146	3	may	may	AUX
cana-827	146	4	be	be	AUX
cana-827	146	5	compared	compare	VERB
cana-827	146	6	to	to	ADP
cana-827	146	7	drones	drone	NOUN
cana-827	146	8	choosing	choose	VERB
cana-827	146	9	flight	flight	NOUN
cana-827	146	10	paths	path	NOUN
cana-827	146	11	that	that	PRON
cana-827	146	12	previously	previously	ADV
cana-827	146	13	resulted	result	VERB
cana-827	146	14	in	in	ADP
cana-827	146	15	more	more	ADV
cana-827	146	16	effective	effective	ADJ
cana-827	146	17	flights	flight	NOUN
cana-827	146	18	,	,	PUNCT
cana-827	146	19	such	such	ADJ
cana-827	146	20	as	as	ADP
cana-827	146	21	those	those	PRON
cana-827	146	22	with	with	ADP
cana-827	146	23	shorter	short	ADJ
cana-827	146	24	lengths	length	NOUN
cana-827	146	25	or	or	CCONJ
cana-827	146	26	lower	low	ADJ
cana-827	146	27	energy	energy	NOUN
cana-827	146	28	requirements	requirement	NOUN
cana-827	146	29	.	.	PUNCT
cana-827	147	1	based	base	VERB
cana-827	147	2	on	on	ADP
cana-827	147	3	the	the	DET
cana-827	147	4	quantity	quantity	NOUN
cana-827	147	5	of	of	ADP
cana-827	147	6	pheromone	pheromone	NOUN
cana-827	147	7	left	leave	VERB
cana-827	147	8	by	by	ADP
cana-827	147	9	their	their	PRON
cana-827	147	10	forebearsm	forebearsm	PROPN
cana-827	147	11	drones	drone	NOUN
cana-827	147	12	collectively	collectively	ADV
cana-827	147	13	learn	learn	VERB
cana-827	147	14	to	to	PART
cana-827	147	15	select	select	VERB
cana-827	147	16	courses	course	NOUN
cana-827	147	17	that	that	PRON
cana-827	147	18	yield	yield	VERB
cana-827	147	19	better	well	ADJ
cana-827	147	20	results	result	NOUN
cana-827	147	21	over	over	ADP
cana-827	147	22	iterations	iteration	NOUN
cana-827	147	23	.	.	PUNCT
cana-827	148	1	2.3.2	2.3.2	NUM
cana-827	148	2	artificial	artificial	ADJ
cana-827	148	3	bee	bee	NOUN
cana-827	148	4	colony	colony	NOUN
cana-827	148	5	optimization	optimization	NOUN
cana-827	148	6	in	in	ADP
cana-827	148	7	drone	drone	NOUN
cana-827	148	8	intelligence	intelligence	NOUN
cana-827	148	9	.	.	PUNCT
cana-827	149	1	the	the	DET
cana-827	149	2	linked	link	VERB
cana-827	149	3	employed	employ	VERB
cana-827	149	4	bee	bee	NOUN
cana-827	149	5	will	will	AUX
cana-827	149	6	become	become	VERB
cana-827	149	7	a	a	DET
cana-827	149	8	scout	scout	NOUN
cana-827	149	9	bee	bee	NOUN
cana-827	149	10	,	,	PUNCT
cana-827	149	11	selected	select	VERB
cana-827	149	12	at	at	ADP
cana-827	149	13	random	random	ADJ
cana-827	149	14	by	by	ADP
cana-827	149	15	eq(1	eq(1	NOUN
cana-827	149	16	)	)	PUNCT
cana-827	149	17	,	,	PUNCT
cana-827	149	18	if	if	SCONJ
cana-827	149	19	a	a	DET
cana-827	149	20	food	food	NOUN
cana-827	149	21	source	source	NOUN
cana-827	149	22	xi	xi	X
cana-827	149	23	can	can	AUX
cana-827	149	24	not	not	PART
cana-827	149	25	be	be	AUX
cana-827	149	26	improved	improve	VERB
cana-827	149	27	after	after	ADP
cana-827	149	28	a	a	DET
cana-827	149	29	specific	specific	ADJ
cana-827	149	30	number	number	NOUN
cana-827	149	31	of	of	ADP
cana-827	149	32	trial	trial	NOUN
cana-827	149	33	counts(limit	counts(limit	PROPN
cana-827	149	34	)	)	PUNCT
cana-827	149	35	.	.	PUNCT
cana-827	150	1	the	the	DET
cana-827	150	2	algorithm	algorithm	NOUN
cana-827	150	3	will	will	AUX
cana-827	150	4	terminate	terminate	VERB
cana-827	150	5	after	after	ADP
cana-827	150	6	repeating	repeat	VERB
cana-827	150	7	max_cycles	max_cycle	NOUN
cana-827	150	8	,	,	PUNCT
cana-827	150	9	the	the	DET
cana-827	150	10	maximum	maximum	ADJ
cana-827	150	11	number	number	NOUN
cana-827	150	12	of	of	ADP
cana-827	150	13	cycles	cycle	NOUN
cana-827	150	14	that	that	PRON
cana-827	150	15	are	be	AUX
cana-827	150	16	predetermined[6	predetermined[6	PROPN
cana-827	150	17	]	]	PUNCT
cana-827	150	18	.	.	PUNCT
cana-827	151	1	2.3.2.1	2.3.2.1	NUM
cana-827	151	2	explanation	explanation	NOUN
cana-827	151	3	:	:	PUNCT
cana-827	151	4	the	the	DET
cana-827	151	5	foraging	forage	VERB
cana-827	151	6	activity	activity	NOUN
cana-827	151	7	of	of	ADP
cana-827	151	8	bees	bee	NOUN
cana-827	151	9	,	,	PUNCT
cana-827	151	10	which	which	PRON
cana-827	151	11	includes	include	VERB
cana-827	151	12	scout	scout	NOUN
cana-827	151	13	bees(looking	bees(looking	NOUN
cana-827	151	14	for	for	ADP
cana-827	151	15	new	new	ADJ
cana-827	151	16	food	food	NOUN
cana-827	151	17	sources	source	NOUN
cana-827	151	18	)	)	PUNCT
cana-827	151	19	,	,	PUNCT
cana-827	151	20	employeed	employeed	ADJ
cana-827	151	21	bees(foragers	bees(forager	NOUN
cana-827	151	22	)	)	PUNCT
cana-827	151	23	,	,	PUNCT
cana-827	151	24	and	and	CCONJ
cana-827	151	25	observer	observer	NOUN
cana-827	151	26	bees(observing	bees(observe	VERB
cana-827	151	27	foragers	forager	NOUN
cana-827	151	28	)	)	PUNCT
cana-827	151	29	is	be	AUX
cana-827	151	30	the	the	DET
cana-827	151	31	basics	basic	NOUN
cana-827	151	32	for	for	ADP
cana-827	151	33	abc	abc	PROPN
cana-827	151	34	.	.	PUNCT
cana-827	151	35	similar	similar	ADJ
cana-827	151	36	to	to	ADP
cana-827	151	37	this	this	DET
cana-827	151	38	abc	abc	PROPN
cana-827	151	39	algorithm	algorithm	PROPN
cana-827	151	40	has	have	VERB
cana-827	151	41	three	three	NUM
cana-827	151	42	primary	primary	ADJ
cana-827	151	43	stages[16	stages[16	NOUN
cana-827	151	44	]	]	X
cana-827	151	45	:	:	PUNCT
cana-827	151	46	employed	employ	VERB
cana-827	151	47	bees	bee	NOUN
cana-827	151	48	phase	phase	NOUN
cana-827	151	49	:	:	PUNCT
cana-827	151	50	a	a	DET
cana-827	151	51	colony	colony	NOUN
cana-827	151	52	of	of	ADP
cana-827	151	53	working	working	NOUN
cana-827	151	54	bees	bee	NOUN
cana-827	151	55	investigates	investigate	VERB
cana-827	151	56	the	the	DET
cana-827	151	57	solution	solution	NOUN
cana-827	151	58	space	space	NOUN
cana-827	151	59	during	during	ADP
cana-827	151	60	this	this	DET
cana-827	151	61	phase	phase	NOUN
cana-827	151	62	.	.	PUNCT
cana-827	152	1	every	every	DET
cana-827	152	2	bee	bee	NOUN
cana-827	152	3	is	be	AUX
cana-827	152	4	a	a	DET
cana-827	152	5	possible	possible	ADJ
cana-827	152	6	drone	drone	NOUN
cana-827	152	7	path	path	NOUN
cana-827	152	8	(	(	PUNCT
cana-827	152	9	solution	solution	NOUN
cana-827	152	10	)	)	PUNCT
cana-827	152	11	.	.	PUNCT
cana-827	153	1	by	by	ADP
cana-827	153	2	taking	take	VERB
cana-827	153	3	advantage	advantage	NOUN
cana-827	153	4	of	of	ADP
cana-827	153	5	the	the	DET
cana-827	153	6	area	area	NOUN
cana-827	153	7	around	around	ADP
cana-827	153	8	their	their	PRON
cana-827	153	9	present	present	ADJ
cana-827	153	10	solutions	solution	NOUN
cana-827	153	11	,	,	PUNCT
cana-827	153	12	employed	employ	VERB
cana-827	153	13	bees	bee	NOUN
cana-827	153	14	iteratively	iteratively	ADV
cana-827	153	15	improve	improve	VERB
cana-827	153	16	their	their	PRON
cana-827	153	17	solutions	solution	NOUN
cana-827	153	18	.	.	PUNCT
cana-827	154	1	onlooker	onlooker	NOUN
cana-827	154	2	bees	bee	NOUN
cana-827	154	3	phase	phase	NOUN
cana-827	154	4	:	:	PUNCT
cana-827	154	5	onlooker	onlooker	NOUN
cana-827	154	6	bees	bee	NOUN
cana-827	154	7	or	or	CCONJ
cana-827	154	8	observer	observer	NOUN
cana-827	154	9	bees	bee	NOUN
cana-827	154	10	assess	assess	VERB
cana-827	154	11	the	the	DET
cana-827	154	12	solution	solution	NOUN
cana-827	154	13	produced	produce	VERB
cana-827	154	14	by	by	ADP
cana-827	154	15	working	working	NOUN
cana-827	154	16	bees	bee	NOUN
cana-827	154	17	.	.	PUNCT
cana-827	155	1	based	base	VERB
cana-827	155	2	on	on	ADP
cana-827	155	3	the	the	DET
cana-827	155	4	value	value	NOUN
cana-827	155	5	of	of	ADP
cana-827	155	6	their	their	PRON
cana-827	155	7	fitness	fitness	NOUN
cana-827	155	8	,	,	PUNCT
cana-827	155	9	they	they	PRON
cana-827	155	10	select	select	VERB
cana-827	155	11	which	which	DET
cana-827	155	12	solution	solution	NOUN
cana-827	155	13	to	to	PART
cana-827	155	14	investigate	investigate	VERB
cana-827	155	15	.	.	PUNCT
cana-827	156	1	a	a	DET
cana-827	156	2	solution	solution	NOUN
cana-827	156	3	’s	’s	PART
cana-827	156	4	likelihood	likelihood	NOUN
cana-827	156	5	of	of	ADP
cana-827	156	6	being	be	AUX
cana-827	156	7	chosen	choose	VERB
cana-827	156	8	is	be	AUX
cana-827	156	9	correlated	correlate	VERB
cana-827	156	10	with	with	ADP
cana-827	156	11	its	its	PRON
cana-827	156	12	fitness	fitness	NOUN
cana-827	156	13	.	.	PUNCT
cana-827	157	1	scout	scout	NOUN
cana-827	157	2	bees	bee	NOUN
cana-827	157	3	phase	phase	NOUN
cana-827	157	4	:	:	PUNCT
cana-827	157	5	a	a	DET
cana-827	157	6	solution	solution	NOUN
cana-827	157	7	is	be	AUX
cana-827	157	8	abandoned	abandon	VERB
cana-827	157	9	,	,	PUNCT
cana-827	157	10	if	if	SCONJ
cana-827	157	11	after	after	ADP
cana-827	157	12	a	a	DET
cana-827	157	13	predetermined	predetermine	VERB
cana-827	157	14	number	number	NOUN
cana-827	157	15	of	of	ADP
cana-827	157	16	iterations	iteration	NOUN
cana-827	157	17	,	,	PUNCT
cana-827	157	18	it	it	PRON
cana-827	157	19	still	still	ADV
cana-827	157	20	can	can	AUX
cana-827	157	21	not	not	PART
cana-827	157	22	be	be	AUX
cana-827	157	23	made	make	VERB
cana-827	157	24	better	well	ADJ
cana-827	157	25	.	.	PUNCT
cana-827	158	1	scout	scout	NOUN
cana-827	158	2	bees	bee	NOUN
cana-827	158	3	encourage	encourage	VERB
cana-827	158	4	variety	variety	NOUN
cana-827	158	5	in	in	ADP
cana-827	158	6	the	the	DET
cana-827	158	7	search	search	NOUN
cana-827	158	8	by	by	ADP
cana-827	158	9	producing	produce	VERB
cana-827	158	10	fresh	fresh	ADJ
cana-827	158	11	answers	answer	NOUN
cana-827	158	12	at	at	ADP
cana-827	158	13	random	random	ADJ
cana-827	158	14	.	.	PUNCT
cana-827	159	1	2.3.2.2	2.3.2.2	NUM
cana-827	159	2	pseudocode	pseudocode	NOUN
cana-827	159	3	:	:	PUNCT
cana-827	159	4	here	here	ADV
cana-827	159	5	's	be	AUX
cana-827	159	6	a	a	DET
cana-827	159	7	simplified	simplified	ADJ
cana-827	159	8	algorithm	algorithm	NOUN
cana-827	159	9	for	for	ADP
cana-827	159	10	abc	abc	PROPN
cana-827	159	11	in	in	ADP
cana-827	159	12	the	the	DET
cana-827	159	13	context	context	NOUN
cana-827	159	14	of	of	ADP
cana-827	159	15	optimizing	optimize	VERB
cana-827	159	16	drone	drone	NOUN
cana-827	159	17	paths	path	NOUN
cana-827	159	18	:	:	PUNCT
cana-827	159	19	1	1	X
cana-827	159	20	.	.	X
cana-827	159	21	initialize	initialize	VERB
cana-827	159	22	the	the	DET
cana-827	159	23	population	population	NOUN
cana-827	159	24	of	of	ADP
cana-827	159	25	employed	employ	VERB
cana-827	159	26	bees	bee	NOUN
cana-827	159	27	with	with	ADP
cana-827	159	28	random	random	ADJ
cana-827	159	29	solutions	solution	NOUN
cana-827	159	30	.	.	PUNCT
cana-827	160	1	2	2	X
cana-827	160	2	.	.	X
cana-827	160	3	evaluate	evaluate	VERB
cana-827	160	4	the	the	DET
cana-827	160	5	fitness	fitness	NOUN
cana-827	160	6	of	of	ADP
cana-827	160	7	each	each	DET
cana-827	160	8	solution	solution	NOUN
cana-827	160	9	based	base	VERB
cana-827	160	10	on	on	ADP
cana-827	160	11	the	the	DET
cana-827	160	12	objective	objective	ADJ
cana-827	160	13	function	function	NOUN
cana-827	160	14	.	.	PUNCT
cana-827	161	1	3	3	X
cana-827	161	2	.	.	X
cana-827	161	3	while	while	SCONJ
cana-827	161	4	a	a	DET
cana-827	161	5	termination	termination	NOUN
cana-827	161	6	criterion	criterion	NOUN
cana-827	161	7	is	be	AUX
cana-827	161	8	not	not	PART
cana-827	161	9	met	meet	VERB
cana-827	161	10	:	:	PUNCT
cana-827	161	11	a.	a.	NOUN
cana-827	161	12	employed	employ	VERB
cana-827	161	13	bees	bee	NOUN
cana-827	161	14	phase	phase	NOUN
cana-827	161	15	:	:	PUNCT
cana-827	161	16	i.	i.	PROPN
cana-827	161	17	each	each	PRON
cana-827	161	18	employed	employ	VERB
cana-827	161	19	bee	bee	NOUN
cana-827	161	20	modifies	modify	VERB
cana-827	161	21	its	its	PRON
cana-827	161	22	solution	solution	NOUN
cana-827	161	23	using	use	VERB
cana-827	161	24	the	the	DET
cana-827	161	25	formula	formula	NOUN
cana-827	161	26	.	.	PUNCT
cana-827	162	1	communications	communication	NOUN
cana-827	162	2	on	on	ADP
cana-827	162	3	applied	apply	VERB
cana-827	162	4	nonlinear	nonlinear	ADJ
cana-827	162	5	analysis	analysis	NOUN
cana-827	162	6	issn	issn	NOUN
cana-827	162	7	:	:	PUNCT
cana-827	162	8	1074	1074	NUM
cana-827	162	9	-	-	PUNCT
cana-827	162	10	133x	133x	NUM
cana-827	162	11	vol	vol	NOUN
cana-827	162	12	31	31	NUM
cana-827	162	13	no	no	NOUN
cana-827	162	14	.	.	PUNCT
cana-827	163	1	4s	4s	NUM
cana-827	163	2	(	(	PUNCT
cana-827	163	3	2024	2024	NUM
cana-827	163	4	)	)	PUNCT
cana-827	163	5	31	31	NUM
cana-827	163	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	163	7	ii	ii	PROPN
cana-827	163	8	.	.	PROPN
cana-827	163	9	evaluate	evaluate	VERB
cana-827	163	10	the	the	DET
cana-827	163	11	fitness	fitness	NOUN
cana-827	163	12	of	of	ADP
cana-827	163	13	the	the	DET
cana-827	163	14	new	new	ADJ
cana-827	163	15	solution	solution	NOUN
cana-827	163	16	.	.	PUNCT
cana-827	164	1	b.	b.	PROPN
cana-827	164	2	onlooker	onlooker	PROPN
cana-827	164	3	bees	bee	NOUN
cana-827	164	4	phase	phase	NOUN
cana-827	164	5	:	:	PUNCT
cana-827	164	6	i.	i.	NOUN
cana-827	164	7	calculate	calculate	VERB
cana-827	164	8	the	the	DET
cana-827	164	9	selection	selection	NOUN
cana-827	164	10	probability	probability	NOUN
cana-827	164	11	for	for	ADP
cana-827	164	12	each	each	DET
cana-827	164	13	solution	solution	NOUN
cana-827	164	14	based	base	VERB
cana-827	164	15	on	on	ADP
cana-827	164	16	fitness	fitness	PROPN
cana-827	164	17	.	.	PUNCT
cana-827	165	1	ii	ii	PROPN
cana-827	165	2	.	.	PUNCT
cana-827	166	1	choose	choose	VERB
cana-827	166	2	solutions	solution	NOUN
cana-827	166	3	for	for	ADP
cana-827	166	4	onlooker	onlooker	NOUN
cana-827	166	5	bees	bee	NOUN
cana-827	166	6	based	base	VERB
cana-827	166	7	on	on	ADP
cana-827	166	8	the	the	DET
cana-827	166	9	probabilities	probability	NOUN
cana-827	166	10	.	.	PUNCT
cana-827	167	1	c.	c.	PROPN
cana-827	167	2	scout	scout	PROPN
cana-827	167	3	bees	bee	NOUN
cana-827	167	4	phase	phase	NOUN
cana-827	167	5	:	:	PUNCT
cana-827	167	6	i.	i.	NOUN
cana-827	167	7	solutions	solution	NOUN
cana-827	167	8	that	that	PRON
cana-827	167	9	have	have	AUX
cana-827	167	10	n't	not	PART
cana-827	167	11	improved	improve	VERB
cana-827	167	12	after	after	SCONJ
cana-827	167	13	a	a	DET
cana-827	167	14	certain	certain	ADJ
cana-827	167	15	number	number	NOUN
cana-827	167	16	of	of	ADP
cana-827	167	17	iterations	iteration	NOUN
cana-827	167	18	are	be	AUX
cana-827	167	19	abandoned	abandon	VERB
cana-827	167	20	.	.	PUNCT
cana-827	168	1	ii	ii	X
cana-827	168	2	.	.	PROPN
cana-827	168	3	generate	generate	VERB
cana-827	168	4	new	new	ADJ
cana-827	168	5	solutions	solution	NOUN
cana-827	168	6	for	for	ADP
cana-827	168	7	scout	scout	NOUN
cana-827	168	8	bees	bee	NOUN
cana-827	168	9	randomly	randomly	ADV
cana-827	168	10	.	.	PUNCT
cana-827	169	1	return	return	VERB
cana-827	169	2	the	the	DET
cana-827	169	3	best	good	ADJ
cana-827	169	4	solution	solution	NOUN
cana-827	169	5	found	find	VERB
cana-827	169	6	.	.	PUNCT
cana-827	170	1	2.3.2.3	2.3.2.3	NUM
cana-827	170	2	the	the	DET
cana-827	170	3	basic	basic	ADJ
cana-827	170	4	abc	abc	PROPN
cana-827	170	5	algorithm	algorithm	PROPN
cana-827	170	6	in	in	ADP
cana-827	170	7	abc	abc	PROPN
cana-827	170	8	algorithm	algorithm	PROPN
cana-827	170	9	there	there	PRON
cana-827	170	10	are	be	VERB
cana-827	170	11	three	three	NUM
cana-827	170	12	types	type	NOUN
cana-827	170	13	of	of	ADP
cana-827	170	14	bees	bee	NOUN
cana-827	170	15	:	:	PUNCT
cana-827	170	16	scout	scout	NOUN
cana-827	170	17	bees	bee	NOUN
cana-827	170	18	onlooker	onlooker	VERB
cana-827	170	19	bee	bee	NOUN
cana-827	170	20	and	and	CCONJ
cana-827	170	21	employed	employ	VERB
cana-827	170	22	bees	bee	NOUN
cana-827	170	23	.	.	PUNCT
cana-827	171	1	the	the	DET
cana-827	171	2	population	population	NOUN
cana-827	171	3	as	as	ADP
cana-827	171	4	a	a	DET
cana-827	171	5	whole	whole	NOUN
cana-827	171	6	is	be	AUX
cana-827	171	7	𝑁𝑠	𝑁𝑠	PROPN
cana-827	171	8	;	;	PUNCT
cana-827	171	9	the	the	DET
cana-827	171	10	number	number	NOUN
cana-827	171	11	of	of	ADP
cana-827	171	12	employed	employ	VERB
cana-827	171	13	bees	bee	NOUN
cana-827	171	14	is	be	AUX
cana-827	171	15	𝑁𝑒	𝑁𝑒	ADJ
cana-827	171	16	and	and	CCONJ
cana-827	171	17	onlookers	onlooker	NOUN
cana-827	171	18	is	be	AUX
cana-827	171	19	𝑁𝑢	𝑁𝑢	PROPN
cana-827	171	20	(	(	PUNCT
cana-827	171	21	general	general	ADJ
cana-827	171	22	define	define	VERB
cana-827	171	23	𝑁𝑒	𝑁𝑒	PROPN
cana-827	171	24	=	=	PUNCT
cana-827	171	25	𝑁𝑢	𝑁𝑢	PROPN
cana-827	171	26	=	=	SYM
cana-827	171	27	𝑁𝑠	𝑁𝑠	PROPN
cana-827	171	28	2[17	2[17	NUM
cana-827	171	29	]	]	PUNCT
cana-827	171	30	.	.	PUNCT
cana-827	172	1	during	during	ADP
cana-827	172	2	the	the	DET
cana-827	172	3	initiation	initiation	NOUN
cana-827	172	4	phase	phase	NOUN
cana-827	172	5	employed	employ	VERB
cana-827	172	6	bees	bee	NOUN
cana-827	172	7	are	be	AUX
cana-827	172	8	randomly	randomly	ADV
cana-827	172	9	assigned	assign	VERB
cana-827	172	10	to	to	ADP
cana-827	172	11	food	food	NOUN
cana-827	172	12	sources	source	NOUN
cana-827	172	13	throught	throught	VERB
cana-827	172	14	the	the	DET
cana-827	172	15	community	community	NOUN
cana-827	172	16	.	.	PUNCT
cana-827	173	1	𝑋𝑖	𝑋𝑖	NOUN
cana-827	173	2	𝑗	𝑗	X
cana-827	173	3	=	=	ADJ
cana-827	173	4	𝑋𝑚𝑖𝑛	𝑋𝑚𝑖𝑛	NOUN
cana-827	173	5	𝑗	𝑗	NOUN
cana-827	173	6	+	+	NOUN
cana-827	173	7	𝑟𝑎𝑛𝑑(0,1	𝑟𝑎𝑛𝑑(0,1	NOUN
cana-827	173	8	)	)	PUNCT
cana-827	174	1	(	(	PUNCT
cana-827	174	2	𝑋𝑚𝑎𝑥	𝑋𝑚𝑎𝑥	PROPN
cana-827	174	3	𝑗	𝑗	NOUN
cana-827	174	4	−	−	PROPN
cana-827	174	5	𝑋𝑚𝑖𝑛	𝑋𝑚𝑖𝑛	PROPN
cana-827	174	6	𝑗	𝑗	NOUN
cana-827	174	7	)	)	PUNCT
cana-827	174	8	,	,	PUNCT
cana-827	174	9	(	(	PUNCT
cana-827	174	10	1	1	X
cana-827	174	11	)	)	PUNCT
cana-827	174	12	where	where	SCONJ
cana-827	174	13	𝑗𝜖{1,2	𝑗𝜖{1,2	ADJ
cana-827	174	14	,	,	PUNCT
cana-827	174	15	.	.	PUNCT
cana-827	174	16	.	.	PUNCT
cana-827	174	17	.	.	PUNCT
cana-827	175	1	.	.	PUNCT
cana-827	176	1	,	,	PUNCT
cana-827	176	2	𝐷	𝐷	NOUN
cana-827	176	3	}	}	PUNCT
cana-827	176	4	,	,	PUNCT
cana-827	176	5	𝑋𝑚𝑎𝑥	𝑋𝑚𝑎𝑥	PROPN
cana-827	176	6	,	,	PUNCT
cana-827	176	7	𝑋𝑚𝑖𝑛	𝑋𝑚𝑖𝑛	PROPN
cana-827	176	8	are	be	AUX
cana-827	176	9	the	the	DET
cana-827	176	10	solution	solution	NOUN
cana-827	176	11	vectors	vector	NOUN
cana-827	176	12	’	'	PUNCT
cana-827	176	13	upper	upper	ADJ
cana-827	176	14	and	and	CCONJ
cana-827	176	15	lower	low	ADJ
cana-827	176	16	limits	limit	NOUN
cana-827	176	17	,	,	PUNCT
cana-827	176	18	and	and	CCONJ
cana-827	176	19	d	d	NOUN
cana-827	176	20	is	be	AUX
cana-827	176	21	the	the	DET
cana-827	176	22	decision	decision	NOUN
cana-827	176	23	variables	variable	NOUN
cana-827	176	24	’	'	PUNCT
cana-827	176	25	dimension	dimension	NOUN
cana-827	176	26	.	.	PUNCT
cana-827	177	1	each	each	PRON
cana-827	177	2	employed	employ	VERB
cana-827	177	3	bee	bee	NOUN
cana-827	177	4	𝑋𝑖	𝑋𝑖	PROPN
cana-827	177	5	generates	generate	VERB
cana-827	177	6	a	a	DET
cana-827	177	7	new	new	ADJ
cana-827	177	8	food	food	NOUN
cana-827	177	9	source	source	NOUN
cana-827	178	1	𝑉𝑖	𝑉𝑖	PROPN
cana-827	178	2	in	in	ADP
cana-827	178	3	the	the	DET
cana-827	178	4	neighborhood	neighborhood	NOUN
cana-827	178	5	of	of	ADP
cana-827	178	6	its	its	PRON
cana-827	178	7	present	present	ADJ
cana-827	178	8	position	position	NOUN
cana-827	178	9	𝑉𝑖	𝑉𝑖	PROPN
cana-827	178	10	𝑗	𝑗	PROPN
cana-827	179	1	=	=	ADJ
cana-827	179	2	𝑋𝑖	𝑋𝑖	NOUN
cana-827	179	3	𝑗	𝑗	PROPN
cana-827	180	1	+	+	NUM
cana-827	180	2	𝜙𝑖	𝜙𝑖	NOUN
cana-827	180	3	𝑗	𝑗	INTJ
cana-827	180	4	(	(	PUNCT
cana-827	180	5	𝑋𝑖	𝑋𝑖	NOUN
cana-827	180	6	𝑗	𝑗	INTJ
cana-827	180	7	−	−	X
cana-827	180	8	𝑋𝑘	𝑋𝑘	PROPN
cana-827	180	9	𝑖	𝑖	NOUN
cana-827	180	10	)	)	PUNCT
cana-827	180	11	,	,	PUNCT
cana-827	180	12	(	(	PUNCT
cana-827	180	13	2	2	X
cana-827	180	14	)	)	PUNCT
cana-827	181	1	where	where	SCONJ
cana-827	181	2	j𝜖{1,2,	j𝜖{1,2,	PROPN
cana-827	181	3	....	....	PUNCT
cana-827	181	4	,d},k𝜖{1,2,	,d},k𝜖{1,2,	PROPN
cana-827	181	5	....	....	PUNCT
cana-827	181	6	,𝑁𝑒},k	,𝑁𝑒},k	PUNCT
cana-827	181	7	must	must	AUX
cana-827	181	8	be	be	AUX
cana-827	181	9	distinct	distinct	ADJ
cana-827	181	10	from	from	ADP
cana-827	181	11	i	i	PRON
cana-827	181	12	,	,	PUNCT
cana-827	181	13	k	k	PROPN
cana-827	181	14	and	and	CCONJ
cana-827	181	15	j	j	PROPN
cana-827	181	16	are	be	AUX
cana-827	181	17	random	random	ADJ
cana-827	181	18	generating	generating	NOUN
cana-827	181	19	indexes	index	NOUN
cana-827	181	20	,	,	PUNCT
cana-827	181	21	ijis	iji	VERB
cana-827	181	22	a	a	DET
cana-827	181	23	random	random	ADJ
cana-827	181	24	number	number	NOUN
cana-827	181	25	between[-1,1	between[-1,1	NOUN
cana-827	181	26	]	]	PUNCT
cana-827	181	27	.	.	PUNCT
cana-827	182	1	we	we	PRON
cana-827	182	2	should	should	AUX
cana-827	182	3	also	also	ADV
cana-827	182	4	ensure	ensure	VERB
cana-827	182	5	vi	vi	PROPN
cana-827	182	6	in	in	ADP
cana-827	182	7	the	the	DET
cana-827	182	8	definition	definition	NOUN
cana-827	182	9	domain	domain	NOUN
cana-827	182	10	at	at	ADP
cana-827	182	11	the	the	DET
cana-827	182	12	same	same	ADJ
cana-827	182	13	time	time	NOUN
cana-827	182	14	.	.	PUNCT
cana-827	183	1	eq(3	eq(3	NOUN
cana-827	183	2	)	)	PUNCT
cana-827	183	3	compares	compare	VERB
cana-827	183	4	vi	vi	NOUN
cana-827	183	5	to	to	ADP
cana-827	183	6	xi	xi	PROPN
cana-827	183	7	,	,	PUNCT
cana-827	183	8	and	and	CCONJ
cana-827	183	9	the	the	DET
cana-827	183	10	working	work	VERB
cana-827	183	11	bee	bee	NOUN
cana-827	183	12	uses	use	VERB
cana-827	183	13	its	its	PRON
cana-827	183	14	greedy	greedy	ADJ
cana-827	183	15	selection	selection	NOUN
cana-827	183	16	process	process	NOUN
cana-827	183	17	to	to	PART
cana-827	183	18	take	take	VERB
cana-827	183	19	advantage	advantage	NOUN
cana-827	183	20	of	of	ADP
cana-827	183	21	the	the	DET
cana-827	183	22	superior	superior	ADJ
cana-827	183	23	food	food	NOUN
cana-827	183	24	supply	supply	NOUN
cana-827	183	25	:	:	PUNCT
cana-827	183	26	𝑓𝑖𝑡𝑖	𝑓𝑖𝑡𝑖	NOUN
cana-827	183	27	=	=	PUNCT
cana-827	183	28	{	{	PUNCT
cana-827	183	29	1	1	NUM
cana-827	183	30	1+𝑓𝑖	1+𝑓𝑖	NUM
cana-827	183	31	𝑓𝑖	𝑓𝑖	PROPN
cana-827	183	32	≥	≥	NUM
cana-827	183	33	0	0	NUM
cana-827	183	34	⬚	⬚	PROPN
cana-827	183	35	𝑓𝑖𝑡𝑖	𝑓𝑖𝑡𝑖	NOUN
cana-827	183	36	=	=	PUNCT
cana-827	183	37	{	{	PUNCT
cana-827	183	38	1+abs(𝑓𝑖	1+abs(𝑓𝑖	NUM
cana-827	183	39	)	)	PUNCT
cana-827	183	40	𝑓𝑖	𝑓𝑖	NOUN
cana-827	183	41	<	<	X
cana-827	183	42	0	0	NUM
cana-827	183	43	⬚	⬚	PROPN
cana-827	183	44	(	(	PUNCT
cana-827	183	45	3	3	NUM
cana-827	183	46	)	)	PUNCT
cana-827	183	47	where	where	SCONJ
cana-827	183	48	𝑓𝑖	𝑓𝑖	PROPN
cana-827	183	49	is	be	AUX
cana-827	183	50	the	the	DET
cana-827	183	51	objective	objective	ADJ
cana-827	183	52	value	value	NOUN
cana-827	183	53	of	of	ADP
cana-827	183	54	solution	solution	NOUN
cana-827	183	55	𝑋𝑖	𝑋𝑖	PROPN
cana-827	183	56	or	or	CCONJ
cana-827	183	57	𝑉𝑖	𝑉𝑖	PROPN
cana-827	183	58	⬚	⬚	PROPN
cana-827	183	59	.	.	PUNCT
cana-827	184	1	for	for	ADP
cana-827	184	2	minimization	minimization	NOUN
cana-827	184	3	issues	issue	NOUN
cana-827	184	4	,	,	PUNCT
cana-827	184	5	the	the	DET
cana-827	184	6	objective	objective	ADJ
cana-827	184	7	function	function	NOUN
cana-827	184	8	may	may	AUX
cana-827	184	9	be	be	AUX
cana-827	184	10	utilised	utilise	VERB
cana-827	184	11	directly	directly	ADV
cana-827	184	12	as	as	ADP
cana-827	184	13	a	a	DET
cana-827	184	14	fitness	fitness	NOUN
cana-827	184	15	function	function	NOUN
cana-827	184	16	;	;	PUNCT
cana-827	184	17	however	however	ADV
cana-827	184	18	,	,	PUNCT
cana-827	184	19	for	for	ADP
cana-827	184	20	maximisation	maximisation	NOUN
cana-827	184	21	problems	problem	NOUN
cana-827	184	22	,	,	PUNCT
cana-827	184	23	fitness	fitness	NOUN
cana-827	184	24	values	value	NOUN
cana-827	184	25	can	can	AUX
cana-827	184	26	be	be	AUX
cana-827	184	27	computed	compute	VERB
cana-827	184	28	using	use	VERB
cana-827	184	29	equation	equation	NOUN
cana-827	184	30	(	(	PUNCT
cana-827	184	31	3	3	NUM
cana-827	184	32	)	)	PUNCT
cana-827	184	33	.	.	PUNCT
cana-827	185	1	an	an	DET
cana-827	185	2	observer	observer	NOUN
cana-827	185	3	bee	bee	NOUN
cana-827	185	4	use	use	VERB
cana-827	185	5	the	the	DET
cana-827	185	6	roulette	roulette	NOUN
cana-827	185	7	wheel	wheel	NOUN
cana-827	185	8	approach	approach	NOUN
cana-827	185	9	to	to	PART
cana-827	185	10	choose	choose	VERB
cana-827	185	11	a	a	DET
cana-827	185	12	food	food	NOUN
cana-827	185	13	source	source	NOUN
cana-827	185	14	after	after	ADP
cana-827	185	15	assessing	assess	VERB
cana-827	185	16	each	each	DET
cana-827	185	17	hired	hire	VERB
cana-827	185	18	bee	bee	NOUN
cana-827	185	19	's	's	PART
cana-827	185	20	fitness	fitness	NOUN
cana-827	185	21	value	value	NOUN
cana-827	185	22	.	.	PUNCT
cana-827	186	1	in	in	ADP
cana-827	186	2	accordance	accordance	NOUN
cana-827	186	3	with	with	ADP
cana-827	186	4	its	its	PRON
cana-827	186	5	probability	probability	NOUN
cana-827	186	6	value	value	NOUN
cana-827	186	7	p	p	NOUN
cana-827	186	8	,	,	PUNCT
cana-827	186	9	which	which	PRON
cana-827	186	10	is	be	AUX
cana-827	186	11	determined	determine	VERB
cana-827	186	12	by	by	ADP
cana-827	186	13	the	the	DET
cana-827	186	14	following	follow	VERB
cana-827	186	15	formula	formula	NOUN
cana-827	186	16	,	,	PUNCT
cana-827	186	17	𝑋𝑖	𝑋𝑖	PROPN
cana-827	186	18	updated	update	VERB
cana-827	186	19	the	the	DET
cana-827	186	20	same	same	ADJ
cana-827	186	21	as	as	ADP
cana-827	186	22	employed	employ	VERB
cana-827	186	23	bees	bee	NOUN
cana-827	186	24	.	.	PUNCT
cana-827	187	1	𝑃	𝑃	NOUN
cana-827	187	2	=	=	NOUN
cana-827	187	3	0.9	0.9	NUM
cana-827	187	4	𝑓𝑖𝑡(𝑋𝑖	𝑓𝑖𝑡(𝑋𝑖	NOUN
cana-827	187	5	)	)	PUNCT
cana-827	187	6	𝑚𝑎𝑥𝑚=1	𝑚𝑎𝑥𝑚=1	PUNCT
cana-827	188	1	𝑁𝑒	𝑁𝑒	VERB
cana-827	188	2	𝑓𝑖𝑡(𝑋𝑚	𝑓𝑖𝑡(𝑋𝑚	PROPN
cana-827	188	3	)	)	PUNCT
cana-827	188	4	+	+	NUM
cana-827	188	5	0.1	0.1	NUM
cana-827	188	6	,	,	PUNCT
cana-827	188	7	(	(	PUNCT
cana-827	188	8	4	4	X
cana-827	188	9	)	)	PUNCT
cana-827	188	10	the	the	DET
cana-827	188	11	linked	link	VERB
cana-827	188	12	employed	employ	VERB
cana-827	188	13	bee	bee	NOUN
cana-827	188	14	will	will	AUX
cana-827	188	15	become	become	VERB
cana-827	188	16	a	a	DET
cana-827	188	17	scout	scout	NOUN
cana-827	188	18	bee	bee	NOUN
cana-827	188	19	,	,	PUNCT
cana-827	188	20	selected	select	VERB
cana-827	188	21	at	at	ADP
cana-827	188	22	random	random	ADJ
cana-827	188	23	by	by	ADP
cana-827	188	24	eq(1	eq(1	NOUN
cana-827	188	25	)	)	PUNCT
cana-827	188	26	,	,	PUNCT
cana-827	188	27	if	if	SCONJ
cana-827	188	28	a	a	DET
cana-827	188	29	food	food	NOUN
cana-827	188	30	sourcexi	sourcexi	NOUN
cana-827	188	31	can	can	AUX
cana-827	188	32	not	not	PART
cana-827	188	33	be	be	AUX
cana-827	188	34	improved	improve	VERB
cana-827	188	35	after	after	ADP
cana-827	188	36	a	a	DET
cana-827	188	37	specific	specific	ADJ
cana-827	188	38	number	number	NOUN
cana-827	188	39	of	of	ADP
cana-827	188	40	trial	trial	NOUN
cana-827	188	41	counts(limit	counts(limit	PROPN
cana-827	188	42	)	)	PUNCT
cana-827	188	43	.	.	PUNCT
cana-827	189	1	the	the	DET
cana-827	189	2	algorithm	algorithm	NOUN
cana-827	189	3	will	will	AUX
cana-827	189	4	terminate	terminate	VERB
cana-827	189	5	after	after	ADP
cana-827	189	6	repeating	repeat	VERB
cana-827	189	7	after	after	ADP
cana-827	189	8	repeating	repeat	VERB
cana-827	189	9	max_cycles	max_cycle	NOUN
cana-827	189	10	,	,	PUNCT
cana-827	189	11	the	the	DET
cana-827	189	12	maximum	maximum	ADJ
cana-827	189	13	number	number	NOUN
cana-827	189	14	of	of	ADP
cana-827	189	15	cycles	cycle	NOUN
cana-827	189	16	that	that	PRON
cana-827	189	17	are	be	AUX
cana-827	189	18	determined	determine	VERB
cana-827	189	19	.	.	PUNCT
cana-827	190	1	3	3	X
cana-827	190	2	.	.	X
cana-827	190	3	comparison	comparison	NOUN
cana-827	190	4	analysis	analysis	NOUN
cana-827	190	5	between	between	ADP
cana-827	190	6	aco	aco	PROPN
cana-827	190	7	and	and	CCONJ
cana-827	190	8	abc	abc	PROPN
cana-827	190	9	algorithm	algorithm	PROPN
cana-827	190	10	two	two	NUM
cana-827	190	11	well	well	ADV
cana-827	190	12	-	-	PUNCT
cana-827	190	13	known	know	VERB
cana-827	190	14	algorithms	algorithm	NOUN
cana-827	190	15	used	use	VERB
cana-827	190	16	to	to	PART
cana-827	190	17	optimize	optimize	VERB
cana-827	190	18	a	a	DET
cana-827	190	19	swarm	swarm	NOUN
cana-827	190	20	of	of	ADP
cana-827	190	21	drones	drone	NOUN
cana-827	190	22	’	’	PART
cana-827	190	23	flight	flight	NOUN
cana-827	190	24	routes	route	NOUN
cana-827	190	25	are	be	AUX
cana-827	190	26	ant	ant	ADJ
cana-827	190	27	colony	colony	NOUN
cana-827	190	28	optimization	optimization	NOUN
cana-827	190	29	(	(	PUNCT
cana-827	190	30	aco	aco	PROPN
cana-827	190	31	)	)	PUNCT
cana-827	190	32	and	and	CCONJ
cana-827	190	33	artificial	artificial	ADJ
cana-827	190	34	bee	bee	NOUN
cana-827	190	35	colony	colony	NOUN
cana-827	190	36	optimization	optimization	NOUN
cana-827	190	37	(	(	PUNCT
cana-827	190	38	abc	abc	PROPN
cana-827	190	39	)	)	PUNCT
cana-827	190	40	in	in	ADP
cana-827	190	41	the	the	DET
cana-827	190	42	field	field	NOUN
cana-827	190	43	of	of	ADP
cana-827	190	44	swarm	swarm	NOUN
cana-827	190	45	intelligence	intelligence	NOUN
cana-827	190	46	for	for	ADP
cana-827	190	47	drone	drone	NOUN
cana-827	190	48	surveillance	surveillance	NOUN
cana-827	190	49	.	.	PUNCT
cana-827	191	1	the	the	DET
cana-827	191	2	comparison	comparison	NOUN
cana-827	191	3	analysis	analysis	NOUN
cana-827	191	4	that	that	PRON
cana-827	191	5	follows	follow	VERB
cana-827	191	6	focuses	focus	VERB
cana-827	191	7	on	on	ADP
cana-827	191	8	statistical	statistical	ADJ
cana-827	191	9	values	value	NOUN
cana-827	191	10	,	,	PUNCT
cana-827	191	11	performance	performance	NOUN
cana-827	191	12	indicators	indicator	NOUN
cana-827	191	13	,	,	PUNCT
cana-827	191	14	and	and	CCONJ
cana-827	191	15	the	the	DET
cana-827	191	16	effectiveness	effectiveness	NOUN
cana-827	191	17	of	of	ADP
cana-827	191	18	both	both	DET
cana-827	191	19	algorithms	algorithm	NOUN
cana-827	191	20	:	:	PUNCT
cana-827	191	21	communications	communication	NOUN
cana-827	191	22	on	on	ADP
cana-827	191	23	applied	apply	VERB
cana-827	191	24	nonlinear	nonlinear	ADJ
cana-827	191	25	analysis	analysis	NOUN
cana-827	191	26	issn	issn	NOUN
cana-827	191	27	:	:	PUNCT
cana-827	191	28	1074	1074	NUM
cana-827	191	29	-	-	PUNCT
cana-827	191	30	133x	133x	NUM
cana-827	191	31	vol	vol	NOUN
cana-827	191	32	31	31	NUM
cana-827	191	33	no	no	NOUN
cana-827	191	34	.	.	PUNCT
cana-827	192	1	4s	4s	NUM
cana-827	192	2	(	(	PUNCT
cana-827	192	3	2024	2024	NUM
cana-827	192	4	)	)	PUNCT
cana-827	192	5	32	32	NUM
cana-827	192	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	192	7	3.1	3.1	NUM
cana-827	192	8	.	.	PUNCT
cana-827	193	1	analysis	analysis	NOUN
cana-827	193	2	of	of	ADP
cana-827	193	3	aco	aco	PROPN
cana-827	193	4	in	in	ADP
cana-827	193	5	swarm	swarm	NOUN
cana-827	193	6	of	of	ADP
cana-827	193	7	drone	drone	NOUN
cana-827	193	8	surveillance	surveillance	NOUN
cana-827	193	9	using	use	VERB
cana-827	193	10	performance	performance	NOUN
cana-827	193	11	metrics	metric	NOUN
cana-827	193	12	,	,	PUNCT
cana-827	193	13	statistical	statistical	ADJ
cana-827	193	14	values	value	NOUN
cana-827	193	15	,	,	PUNCT
cana-827	193	16	and	and	CCONJ
cana-827	193	17	the	the	DET
cana-827	193	18	efficiency	efficiency	NOUN
cana-827	193	19	of	of	ADP
cana-827	193	20	the	the	DET
cana-827	193	21	algorithms	algorithm	NOUN
cana-827	193	22	metric	metric	ADJ
cana-827	193	23	performance	performance	NOUN
cana-827	193	24	(	(	PUNCT
cana-827	193	25	mean	mean	PROPN
cana-827	193	26	±	±	NUM
cana-827	193	27	standard	standard	ADJ
cana-827	193	28	deviation	deviation	NOUN
cana-827	193	29	)	)	PUNCT
cana-827	193	30	efficiency	efficiency	NOUN
cana-827	193	31	path	path	NOUN
cana-827	193	32	length	length	NOUN
cana-827	193	33	(	(	PUNCT
cana-827	193	34	units	unit	NOUN
cana-827	193	35	)	)	PUNCT
cana-827	193	36	1050	1050	NUM
cana-827	193	37	±	±	NUM
cana-827	193	38	100	100	NUM
cana-827	193	39	moderate	moderate	ADJ
cana-827	193	40	flight	flight	NOUN
cana-827	193	41	time	time	NOUN
cana-827	193	42	(	(	PUNCT
cana-827	193	43	minutes	minute	NOUN
cana-827	193	44	)	)	PUNCT
cana-827	193	45	47	47	NUM
cana-827	193	46	±	±	NUM
cana-827	193	47	5	5	NUM
cana-827	193	48	moderate	moderate	ADJ
cana-827	193	49	energy	energy	NOUN
cana-827	193	50	consumption	consumption	NOUN
cana-827	193	51	(	(	PUNCT
cana-827	193	52	kwh	kwh	NOUN
cana-827	193	53	)	)	PUNCT
cana-827	193	54	12.5	12.5	NUM
cana-827	193	55	±	±	NUM
cana-827	193	56	1	1	NUM
cana-827	193	57	moderate	moderate	ADJ
cana-827	193	58	convergence	convergence	NOUN
cana-827	193	59	speed	speed	NOUN
cana-827	193	60	120	120	NUM
cana-827	193	61	iterations	iteration	NOUN
cana-827	193	62	moderate	moderate	ADJ
cana-827	193	63	solution	solution	NOUN
cana-827	193	64	quality	quality	NOUN
cana-827	193	65	90	90	NUM
cana-827	193	66	%	%	NOUN
cana-827	193	67	optimal	optimal	ADJ
cana-827	193	68	solutions	solution	NOUN
cana-827	193	69	good	good	ADJ
cana-827	193	70	robustness	robustness	NOUN
cana-827	193	71	sensitive	sensitive	ADJ
cana-827	193	72	to	to	ADP
cana-827	193	73	weather	weather	NOUN
cana-827	193	74	conditions	condition	NOUN
cana-827	193	75	moderate	moderate	ADJ
cana-827	193	76	scalability	scalability	NOUN
cana-827	193	77	effective	effective	ADJ
cana-827	193	78	for	for	ADP
cana-827	193	79	moderate	moderate	ADJ
cana-827	193	80	scenarios	scenario	NOUN
cana-827	193	81	moderate	moderate	ADJ
cana-827	193	82	resource	resource	NOUN
cana-827	193	83	usage	usage	NOUN
cana-827	193	84	moderate	moderate	ADJ
cana-827	193	85	cpu	cpu	NOUN
cana-827	193	86	and	and	CCONJ
cana-827	193	87	memory	memory	NOUN
cana-827	193	88	usage	usage	NOUN
cana-827	193	89	moderate	moderate	ADJ
cana-827	193	90	communications	communication	NOUN
cana-827	193	91	on	on	ADP
cana-827	193	92	applied	apply	VERB
cana-827	193	93	nonlinear	nonlinear	ADJ
cana-827	193	94	analysis	analysis	NOUN
cana-827	193	95	issn	issn	NOUN
cana-827	193	96	:	:	PUNCT
cana-827	193	97	1074	1074	NUM
cana-827	193	98	-	-	PUNCT
cana-827	193	99	133x	133x	NUM
cana-827	193	100	vol	vol	NOUN
cana-827	193	101	31	31	NUM
cana-827	193	102	no	no	NOUN
cana-827	193	103	.	.	PUNCT
cana-827	194	1	4s	4s	NUM
cana-827	194	2	(	(	PUNCT
cana-827	194	3	2024	2024	NUM
cana-827	194	4	)	)	PUNCT
cana-827	194	5	33	33	NUM
cana-827	194	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	194	7	table	table	NOUN
cana-827	194	8	1	1	NUM
cana-827	194	9	represents	represent	VERB
cana-827	194	10	the	the	DET
cana-827	194	11	performace	performace	NOUN
cana-827	194	12	of	of	ADP
cana-827	194	13	aco	aco	PROPN
cana-827	194	14	algorithm	algorithm	PROPN
cana-827	194	15	in	in	ADP
cana-827	194	16	drone	drone	NOUN
cana-827	194	17	surveillance	surveillance	NOUN
cana-827	194	18	for	for	ADP
cana-827	194	19	the	the	DET
cana-827	194	20	scenario	scenario	NOUN
cana-827	194	21	1	1	NUM
cana-827	194	22	and	and	CCONJ
cana-827	194	23	2	2	NUM
cana-827	194	24	path	path	NOUN
cana-827	194	25	length	length	NOUN
cana-827	194	26	:	:	PUNCT
cana-827	194	27	aco	aco	PROPN
cana-827	194	28	finds	find	VERB
cana-827	194	29	relatively	relatively	ADV
cana-827	194	30	efficient	efficient	ADJ
cana-827	194	31	routes	route	NOUN
cana-827	194	32	for	for	ADP
cana-827	194	33	drone	drone	NOUN
cana-827	194	34	surveillance	surveillance	NOUN
cana-827	194	35	missions	mission	NOUN
cana-827	194	36	,	,	PUNCT
cana-827	194	37	as	as	SCONJ
cana-827	194	38	seen	see	VERB
cana-827	194	39	by	by	ADP
cana-827	194	40	its	its	PRON
cana-827	194	41	moderate	moderate	ADJ
cana-827	194	42	path	path	NOUN
cana-827	194	43	length	length	NOUN
cana-827	194	44	optimization	optimization	NOUN
cana-827	194	45	.	.	PUNCT
cana-827	195	1	flight	flight	NOUN
cana-827	195	2	time	time	NOUN
cana-827	195	3	:	:	PUNCT
cana-827	195	4	the	the	DET
cana-827	195	5	method	method	NOUN
cana-827	195	6	allows	allow	VERB
cana-827	195	7	drones	drone	NOUN
cana-827	195	8	to	to	PART
cana-827	195	9	operate	operate	VERB
cana-827	195	10	more	more	ADV
cana-827	195	11	effectively	effectively	ADV
cana-827	195	12	while	while	SCONJ
cana-827	195	13	still	still	ADV
cana-827	195	14	leaving	leave	VERB
cana-827	195	15	potential	potential	NOUN
cana-827	195	16	for	for	ADP
cana-827	195	17	modest	modest	ADJ
cana-827	195	18	optimization	optimization	NOUN
cana-827	195	19	gains	gain	NOUN
cana-827	195	20	in	in	ADP
cana-827	195	21	terms	term	NOUN
cana-827	195	22	of	of	ADP
cana-827	195	23	flight	flight	NOUN
cana-827	195	24	time	time	NOUN
cana-827	195	25	.	.	PUNCT
cana-827	196	1	energy	energy	NOUN
cana-827	196	2	consumption	consumption	NOUN
cana-827	196	3	:	:	PUNCT
cana-827	196	4	aco	aco	PROPN
cana-827	196	5	uses	use	VERB
cana-827	196	6	a	a	DET
cana-827	196	7	moderate	moderate	ADJ
cana-827	196	8	amount	amount	NOUN
cana-827	196	9	of	of	ADP
cana-827	196	10	energy	energy	NOUN
cana-827	196	11	to	to	PART
cana-827	196	12	carry	carry	VERB
cana-827	196	13	out	out	ADP
cana-827	196	14	its	its	PRON
cana-827	196	15	surveillance	surveillance	NOUN
cana-827	196	16	operations	operation	NOUN
cana-827	196	17	,	,	PUNCT
cana-827	196	18	exhibiting	exhibit	VERB
cana-827	196	19	a	a	DET
cana-827	196	20	moderate	moderate	ADJ
cana-827	196	21	level	level	NOUN
cana-827	196	22	of	of	ADP
cana-827	196	23	energy	energy	NOUN
cana-827	196	24	efficiency	efficiency	NOUN
cana-827	196	25	.	.	PUNCT
cana-827	197	1	convergence	convergence	NOUN
cana-827	197	2	speed	speed	NOUN
cana-827	197	3	:	:	PUNCT
cana-827	197	4	aco	aco	PROPN
cana-827	197	5	needs	need	VERB
cana-827	197	6	a	a	DET
cana-827	197	7	fair	fair	ADJ
cana-827	197	8	amount	amount	NOUN
cana-827	197	9	of	of	ADP
cana-827	197	10	iterations	iteration	NOUN
cana-827	197	11	to	to	PART
cana-827	197	12	arrive	arrive	VERB
cana-827	197	13	at	at	ADP
cana-827	197	14	optimal	optimal	ADJ
cana-827	197	15	or	or	CCONJ
cana-827	197	16	nearly	nearly	ADV
cana-827	197	17	optimal	optimal	ADJ
cana-827	197	18	solutions	solution	NOUN
cana-827	197	19	,	,	PUNCT
cana-827	197	20	with	with	ADP
cana-827	197	21	a	a	DET
cana-827	197	22	moderate	moderate	ADJ
cana-827	197	23	convergence	convergence	NOUN
cana-827	197	24	speed	speed	NOUN
cana-827	197	25	.	.	PUNCT
cana-827	198	1	solution	solution	NOUN
cana-827	198	2	quality	quality	NOUN
cana-827	198	3	:	:	PUNCT
cana-827	198	4	during	during	ADP
cana-827	198	5	drone	drone	NOUN
cana-827	198	6	surveillance	surveillance	NOUN
cana-827	198	7	,	,	PUNCT
cana-827	198	8	the	the	DET
cana-827	198	9	performance	performance	NOUN
cana-827	198	10	of	of	ADP
cana-827	198	11	the	the	DET
cana-827	198	12	aco	aco	PROPN
cana-827	198	13	leads	lead	VERB
cana-827	198	14	to	to	ADP
cana-827	198	15	good	good	ADJ
cana-827	198	16	solution	solution	NOUN
cana-827	198	17	quality	quality	NOUN
cana-827	198	18	and	and	CCONJ
cana-827	198	19	a	a	DET
cana-827	198	20	high	high	ADJ
cana-827	198	21	rate	rate	NOUN
cana-827	198	22	of	of	ADP
cana-827	198	23	optimal	optimal	ADJ
cana-827	198	24	solutions	solution	NOUN
cana-827	198	25	.	.	PUNCT
cana-827	199	1	robustness	robustness	NOUN
cana-827	199	2	:	:	PUNCT
cana-827	199	3	the	the	DET
cana-827	199	4	algorithm	algorithm	NOUN
cana-827	199	5	has	have	VERB
cana-827	199	6	to	to	PART
cana-827	199	7	be	be	AUX
cana-827	199	8	adjusted	adjust	VERB
cana-827	199	9	for	for	ADP
cana-827	199	10	robust	robust	ADJ
cana-827	199	11	monitoring	monitoring	NOUN
cana-827	199	12	in	in	ADP
cana-827	199	13	dynamic	dynamic	ADJ
cana-827	199	14	contexts	context	NOUN
cana-827	199	15	because	because	SCONJ
cana-827	199	16	it	it	PRON
cana-827	199	17	is	be	AUX
cana-827	199	18	somewhat	somewhat	ADV
cana-827	199	19	susceptible	susceptible	ADJ
cana-827	199	20	to	to	ADP
cana-827	199	21	changing	change	VERB
cana-827	199	22	weather	weather	NOUN
cana-827	199	23	conditions	condition	NOUN
cana-827	199	24	.	.	PUNCT
cana-827	200	1	scalability	scalability	NOUN
cana-827	200	2	:	:	PUNCT
cana-827	200	3	while	while	SCONJ
cana-827	200	4	aco	aco	PROPN
cana-827	200	5	works	work	VERB
cana-827	200	6	well	well	ADV
cana-827	200	7	in	in	ADP
cana-827	200	8	moderate	moderate	ADJ
cana-827	200	9	surveillance	surveillance	NOUN
cana-827	200	10	situations	situation	NOUN
cana-827	200	11	,	,	PUNCT
cana-827	200	12	it	it	PRON
cana-827	200	13	may	may	AUX
cana-827	200	14	not	not	PART
cana-827	200	15	be	be	AUX
cana-827	200	16	as	as	ADV
cana-827	200	17	successful	successful	ADJ
cana-827	200	18	in	in	ADP
cana-827	200	19	bigger	big	ADJ
cana-827	200	20	or	or	CCONJ
cana-827	200	21	more	more	ADV
cana-827	200	22	complicated	complicated	ADJ
cana-827	200	23	operations	operation	NOUN
cana-827	200	24	.	.	PUNCT
cana-827	201	1	resource	resource	NOUN
cana-827	201	2	usage	usage	NOUN
cana-827	201	3	:	:	PUNCT
cana-827	201	4	aco	aco	PROPN
cana-827	201	5	may	may	AUX
cana-827	201	6	be	be	AUX
cana-827	201	7	deployed	deploy	VERB
cana-827	201	8	on	on	ADP
cana-827	201	9	normal	normal	ADJ
cana-827	201	10	hardware	hardware	NOUN
cana-827	201	11	because	because	SCONJ
cana-827	201	12	it	it	PRON
cana-827	201	13	uses	use	VERB
cana-827	201	14	a	a	DET
cana-827	201	15	moderate	moderate	ADJ
cana-827	201	16	amount	amount	NOUN
cana-827	201	17	of	of	ADP
cana-827	201	18	cpu	cpu	NOUN
cana-827	201	19	and	and	CCONJ
cana-827	201	20	memory	memory	NOUN
cana-827	201	21	resources	resource	NOUN
cana-827	201	22	.	.	PUNCT
cana-827	202	1	the	the	DET
cana-827	202	2	particular	particular	ADJ
cana-827	202	3	application	application	NOUN
cana-827	202	4	and	and	CCONJ
cana-827	202	5	its	its	PRON
cana-827	202	6	tolerance	tolerance	NOUN
cana-827	202	7	for	for	ADP
cana-827	202	8	moderate	moderate	ADJ
cana-827	202	9	optimization	optimization	NOUN
cana-827	202	10	and	and	CCONJ
cana-827	202	11	resource	resource	NOUN
cana-827	202	12	utilization	utilization	NOUN
cana-827	202	13	determine	determine	VERB
cana-827	202	14	the	the	DET
cana-827	202	15	efficiency	efficiency	NOUN
cana-827	202	16	of	of	ADP
cana-827	202	17	aco	aco	PROPN
cana-827	202	18	in	in	ADP
cana-827	202	19	swarm	swarm	NOUN
cana-827	202	20	drone	drone	NOUN
cana-827	202	21	surveillance	surveillance	NOUN
cana-827	202	22	.	.	PUNCT
cana-827	203	1	although	although	SCONJ
cana-827	203	2	it	it	PRON
cana-827	203	3	offers	offer	VERB
cana-827	203	4	high	high	ADJ
cana-827	203	5	-	-	PUNCT
cana-827	203	6	quality	quality	NOUN
cana-827	203	7	solutions	solution	NOUN
cana-827	203	8	,	,	PUNCT
cana-827	203	9	it	it	PRON
cana-827	203	10	may	may	AUX
cana-827	203	11	be	be	AUX
cana-827	203	12	better	well	ADJ
cana-827	203	13	in	in	ADP
cana-827	203	14	some	some	DET
cana-827	203	15	areas	area	NOUN
cana-827	203	16	,	,	PUNCT
cana-827	203	17	including	include	VERB
cana-827	203	18	path	path	NOUN
cana-827	203	19	length	length	NOUN
cana-827	203	20	optimization	optimization	NOUN
cana-827	203	21	,	,	PUNCT
cana-827	203	22	resilience	resilience	NOUN
cana-827	203	23	to	to	ADP
cana-827	203	24	changing	change	VERB
cana-827	203	25	environments	environment	NOUN
cana-827	203	26	,	,	PUNCT
cana-827	203	27	and	and	CCONJ
cana-827	203	28	scalability	scalability	NOUN
cana-827	203	29	to	to	ADP
cana-827	203	30	more	more	ADV
cana-827	203	31	difficult	difficult	ADJ
cana-827	203	32	missions	mission	NOUN
cana-827	203	33	.	.	PUNCT
cana-827	204	1	3.2	3.2	NUM
cana-827	204	2	..	..	PUNCT
cana-827	204	3	analysis	analysis	NOUN
cana-827	204	4	of	of	ADP
cana-827	204	5	abc	abc	PROPN
cana-827	204	6	in	in	ADP
cana-827	204	7	swarm	swarm	NOUN
cana-827	204	8	of	of	ADP
cana-827	204	9	drone	drone	NOUN
cana-827	204	10	surveillance	surveillance	NOUN
cana-827	204	11	using	use	VERB
cana-827	204	12	performance	performance	NOUN
cana-827	204	13	metrics	metric	NOUN
cana-827	204	14	,	,	PUNCT
cana-827	204	15	statistical	statistical	ADJ
cana-827	204	16	values	value	NOUN
cana-827	204	17	,	,	PUNCT
cana-827	204	18	and	and	CCONJ
cana-827	204	19	the	the	DET
cana-827	204	20	efficiency	efficiency	NOUN
cana-827	204	21	of	of	ADP
cana-827	204	22	the	the	DET
cana-827	204	23	algorithms	algorithms	NOUN
cana-827	204	24	fig	fig	NOUN
cana-827	204	25	3	3	NUM
cana-827	204	26	represents	represent	VERB
cana-827	204	27	the	the	DET
cana-827	204	28	swarm	swarm	NOUN
cana-827	204	29	in	in	ADP
cana-827	204	30	surveillance	surveillance	NOUN
cana-827	204	31	using	use	VERB
cana-827	204	32	abc	abc	PROPN
cana-827	204	33	optimization	optimization	NOUN
cana-827	204	34	metric	metric	ADJ
cana-827	204	35	performance	performance	NOUN
cana-827	204	36	(	(	PUNCT
cana-827	204	37	mean	mean	PROPN
cana-827	204	38	±	±	NUM
cana-827	204	39	standard	standard	ADJ
cana-827	204	40	deviation	deviation	NOUN
cana-827	204	41	)	)	PUNCT
cana-827	204	42	efficiency	efficiency	NOUN
cana-827	204	43	path	path	NOUN
cana-827	204	44	length	length	NOUN
cana-827	204	45	(	(	PUNCT
cana-827	204	46	units	unit	NOUN
cana-827	204	47	)	)	PUNCT
cana-827	204	48	950	950	NUM
cana-827	204	49	±	±	NUM
cana-827	204	50	75	75	NUM
cana-827	204	51	improved	improve	VERB
cana-827	204	52	flight	flight	NOUN
cana-827	204	53	time	time	NOUN
cana-827	204	54	(	(	PUNCT
cana-827	204	55	minutes	minute	NOUN
cana-827	204	56	)	)	PUNCT
cana-827	204	57	42	42	NUM
cana-827	204	58	±	±	NUM
cana-827	204	59	4	4	NUM
cana-827	204	60	improved	improve	VERB
cana-827	204	61	energy	energy	NOUN
cana-827	204	62	consumption	consumption	NOUN
cana-827	204	63	(	(	PUNCT
cana-827	204	64	kwh	kwh	NOUN
cana-827	204	65	)	)	PUNCT
cana-827	204	66	11	11	NUM
cana-827	204	67	±	±	NUM
cana-827	204	68	1	1	NUM
cana-827	204	69	improved	improve	VERB
cana-827	204	70	convergence	convergence	NOUN
cana-827	204	71	speed	speed	NOUN
cana-827	204	72	100	100	NUM
cana-827	204	73	iterations	iteration	NOUN
cana-827	204	74	improved	improve	VERB
cana-827	204	75	solution	solution	NOUN
cana-827	204	76	quality	quality	NOUN
cana-827	204	77	92	92	NUM
cana-827	204	78	%	%	NOUN
cana-827	204	79	optimal	optimal	ADJ
cana-827	204	80	solutions	solution	NOUN
cana-827	204	81	very	very	ADV
cana-827	204	82	good	good	ADJ
cana-827	204	83	robustness	robustness	NOUN
cana-827	204	84	resilient	resilient	ADJ
cana-827	204	85	to	to	ADP
cana-827	204	86	varying	vary	VERB
cana-827	204	87	conditions	condition	NOUN
cana-827	204	88	very	very	ADV
cana-827	204	89	good	good	ADJ
cana-827	204	90	communications	communication	NOUN
cana-827	204	91	on	on	ADP
cana-827	204	92	applied	apply	VERB
cana-827	204	93	nonlinear	nonlinear	ADJ
cana-827	204	94	analysis	analysis	NOUN
cana-827	204	95	issn	issn	NOUN
cana-827	204	96	:	:	PUNCT
cana-827	204	97	1074	1074	NUM
cana-827	204	98	-	-	PUNCT
cana-827	204	99	133x	133x	NUM
cana-827	204	100	vol	vol	NOUN
cana-827	204	101	31	31	NUM
cana-827	204	102	no	no	NOUN
cana-827	204	103	.	.	PUNCT
cana-827	205	1	4s	4s	NUM
cana-827	205	2	(	(	PUNCT
cana-827	205	3	2024	2024	NUM
cana-827	205	4	)	)	PUNCT
cana-827	205	5	34	34	NUM
cana-827	205	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	205	7	scalability	scalability	NOUN
cana-827	205	8	effective	effective	ADJ
cana-827	205	9	for	for	ADP
cana-827	205	10	various	various	ADJ
cana-827	205	11	scenarios	scenario	NOUN
cana-827	205	12	very	very	ADV
cana-827	205	13	good	good	ADJ
cana-827	205	14	resource	resource	NOUN
cana-827	205	15	usage	usage	NOUN
cana-827	205	16	low	low	ADJ
cana-827	205	17	cpu	cpu	NOUN
cana-827	205	18	and	and	CCONJ
cana-827	205	19	memory	memory	NOUN
cana-827	205	20	usage	usage	NOUN
cana-827	205	21	very	very	ADV
cana-827	205	22	good	good	ADJ
cana-827	205	23	table	table	NOUN
cana-827	205	24	2	2	NUM
cana-827	205	25	represents	represent	VERB
cana-827	205	26	the	the	DET
cana-827	205	27	performace	performace	NOUN
cana-827	205	28	of	of	ADP
cana-827	205	29	abc	abc	PROPN
cana-827	205	30	algorithm	algorithm	PROPN
cana-827	205	31	in	in	ADP
cana-827	205	32	drone	drone	NOUN
cana-827	205	33	surveillance	surveillance	NOUN
cana-827	205	34	for	for	ADP
cana-827	205	35	the	the	DET
cana-827	205	36	fig	fig	NOUN
cana-827	205	37	3	3	NUM
cana-827	205	38	path	path	NOUN
cana-827	205	39	length	length	NOUN
cana-827	205	40	:	:	PUNCT
cana-827	205	41	abc	abc	PROPN
cana-827	205	42	regularly	regularly	ADV
cana-827	205	43	finds	find	VERB
cana-827	205	44	shorter	short	ADJ
cana-827	205	45	and	and	CCONJ
cana-827	205	46	more	more	ADV
cana-827	205	47	effective	effective	ADJ
cana-827	205	48	paths	path	NOUN
cana-827	205	49	for	for	ADP
cana-827	205	50	drone	drone	NOUN
cana-827	205	51	surveillance	surveillance	NOUN
cana-827	205	52	missions	mission	NOUN
cana-827	205	53	,	,	PUNCT
cana-827	205	54	demonstrating	demonstrate	VERB
cana-827	205	55	enhanced	enhanced	ADJ
cana-827	205	56	path	path	NOUN
cana-827	205	57	length	length	PROPN
cana-827	205	58	optimization	optimization	NOUN
cana-827	205	59	.	.	PUNCT
cana-827	206	1	flight	flight	NOUN
cana-827	206	2	time	time	NOUN
cana-827	206	3	:	:	PUNCT
cana-827	206	4	the	the	DET
cana-827	206	5	algorithm	algorithm	NOUN
cana-827	206	6	greatly	greatly	ADV
cana-827	206	7	increases	increase	VERB
cana-827	206	8	flight	flight	NOUN
cana-827	206	9	time	time	NOUN
cana-827	206	10	,	,	PUNCT
cana-827	206	11	enabling	enable	VERB
cana-827	206	12	drones	drone	NOUN
cana-827	206	13	to	to	PART
cana-827	206	14	work	work	VERB
cana-827	206	15	more	more	ADV
cana-827	206	16	productively	productively	ADV
cana-827	206	17	and	and	CCONJ
cana-827	206	18	complete	complete	ADJ
cana-827	206	19	missions	mission	NOUN
cana-827	206	20	sooner	soon	ADV
cana-827	206	21	.	.	PUNCT
cana-827	207	1	energy	energy	NOUN
cana-827	207	2	consumption	consumption	NOUN
cana-827	207	3	:	:	PUNCT
cana-827	207	4	abc	abc	PROPN
cana-827	207	5	exhibits	exhibit	VERB
cana-827	207	6	increased	increase	VERB
cana-827	207	7	operational	operational	ADJ
cana-827	207	8	efficiency	efficiency	NOUN
cana-827	207	9	and	and	CCONJ
cana-827	207	10	reduced	reduce	VERB
cana-827	207	11	energy	energy	NOUN
cana-827	207	12	consumption	consumption	NOUN
cana-827	207	13	,	,	PUNCT
cana-827	207	14	using	use	VERB
cana-827	207	15	less	less	ADJ
cana-827	207	16	energy	energy	NOUN
cana-827	207	17	to	to	PART
cana-827	207	18	fulfill	fulfill	VERB
cana-827	207	19	surveillance	surveillance	NOUN
cana-827	207	20	tasks	task	NOUN
cana-827	207	21	.	.	PUNCT
cana-827	208	1	convergence	convergence	NOUN
cana-827	208	2	speed	speed	NOUN
cana-827	208	3	:	:	PUNCT
cana-827	208	4	compared	compare	VERB
cana-827	208	5	to	to	ADP
cana-827	208	6	many	many	ADJ
cana-827	208	7	other	other	ADJ
cana-827	208	8	algorithms	algorithm	NOUN
cana-827	208	9	,	,	PUNCT
cana-827	208	10	abc	abc	PROPN
cana-827	208	11	has	have	VERB
cana-827	208	12	a	a	DET
cana-827	208	13	faster	fast	ADJ
cana-827	208	14	convergence	convergence	NOUN
cana-827	208	15	speed	speed	NOUN
cana-827	208	16	and	and	CCONJ
cana-827	208	17	requires	require	VERB
cana-827	208	18	less	less	ADJ
cana-827	208	19	iterations	iteration	NOUN
cana-827	208	20	to	to	PART
cana-827	208	21	reach	reach	VERB
cana-827	208	22	optimal	optimal	ADJ
cana-827	208	23	or	or	CCONJ
cana-827	208	24	nearly	nearly	ADV
cana-827	208	25	ideal	ideal	ADJ
cana-827	208	26	solutions	solution	NOUN
cana-827	208	27	.	.	PUNCT
cana-827	209	1	solution	solution	NOUN
cana-827	209	2	quality	quality	NOUN
cana-827	209	3	:	:	PUNCT
cana-827	209	4	during	during	ADP
cana-827	209	5	drone	drone	NOUN
cana-827	209	6	observation	observation	NOUN
cana-827	209	7	,	,	PUNCT
cana-827	209	8	abc	abc	PROPN
cana-827	209	9	performs	perform	VERB
cana-827	209	10	exceptionally	exceptionally	ADV
cana-827	209	11	well	well	ADV
cana-827	209	12	,	,	PUNCT
cana-827	209	13	achieving	achieve	VERB
cana-827	209	14	a	a	DET
cana-827	209	15	high	high	ADJ
cana-827	209	16	percentage	percentage	NOUN
cana-827	209	17	of	of	ADP
cana-827	209	18	ideal	ideal	ADJ
cana-827	209	19	solutions	solution	NOUN
cana-827	209	20	.	.	PUNCT
cana-827	210	1	robustness	robustness	NOUN
cana-827	210	2	:	:	PUNCT
cana-827	210	3	the	the	DET
cana-827	210	4	algorithm	algorithm	NOUN
cana-827	210	5	is	be	AUX
cana-827	210	6	extremely	extremely	ADV
cana-827	210	7	adaptive	adaptive	ADJ
cana-827	210	8	and	and	CCONJ
cana-827	210	9	appropriate	appropriate	ADJ
cana-827	210	10	for	for	ADP
cana-827	210	11	a	a	DET
cana-827	210	12	variety	variety	NOUN
cana-827	210	13	of	of	ADP
cana-827	210	14	monitoring	monitor	VERB
cana-827	210	15	scenarios	scenario	NOUN
cana-827	210	16	due	due	ADP
cana-827	210	17	to	to	ADP
cana-827	210	18	its	its	PRON
cana-827	210	19	strong	strong	ADJ
cana-827	210	20	resilience	resilience	NOUN
cana-827	210	21	to	to	ADP
cana-827	210	22	changing	change	VERB
cana-827	210	23	weather	weather	NOUN
cana-827	210	24	conditions	condition	NOUN
cana-827	210	25	.	.	PUNCT
cana-827	211	1	scalability	scalability	NOUN
cana-827	211	2	:	:	PUNCT
cana-827	211	3	abc	abc	PROPN
cana-827	211	4	can	can	AUX
cana-827	211	5	handle	handle	VERB
cana-827	211	6	complex	complex	ADJ
cana-827	211	7	missions	mission	NOUN
cana-827	211	8	and	and	CCONJ
cana-827	211	9	is	be	AUX
cana-827	211	10	versatile	versatile	ADV
cana-827	211	11	enough	enough	ADV
cana-827	211	12	to	to	PART
cana-827	211	13	work	work	VERB
cana-827	211	14	in	in	ADP
cana-827	211	15	a	a	DET
cana-827	211	16	variety	variety	NOUN
cana-827	211	17	of	of	ADP
cana-827	211	18	surveillance	surveillance	NOUN
cana-827	211	19	scenarios	scenario	NOUN
cana-827	211	20	.	.	PUNCT
cana-827	212	1	resource	resource	NOUN
cana-827	212	2	utilization	utilization	NOUN
cana-827	212	3	:	:	PUNCT
cana-827	212	4	abc	abc	PROPN
cana-827	212	5	uses	use	VERB
cana-827	212	6	very	very	ADV
cana-827	212	7	little	little	ADJ
cana-827	212	8	cpu	cpu	NOUN
cana-827	212	9	and	and	CCONJ
cana-827	212	10	memory	memory	NOUN
cana-827	212	11	resources	resource	NOUN
cana-827	212	12	,	,	PUNCT
cana-827	212	13	which	which	PRON
cana-827	212	14	helps	help	VERB
cana-827	212	15	to	to	PART
cana-827	212	16	promote	promote	VERB
cana-827	212	17	effective	effective	ADJ
cana-827	212	18	resource	resource	NOUN
cana-827	212	19	management	management	NOUN
cana-827	212	20	.	.	PUNCT
cana-827	213	1	notable	notable	ADJ
cana-827	213	2	is	be	AUX
cana-827	213	3	the	the	DET
cana-827	213	4	effectiveness	effectiveness	NOUN
cana-827	213	5	of	of	ADP
cana-827	213	6	abc	abc	PROPN
cana-827	213	7	in	in	ADP
cana-827	213	8	swarm	swarm	NOUN
cana-827	213	9	drone	drone	NOUN
cana-827	213	10	surveillance	surveillance	NOUN
cana-827	213	11	,	,	PUNCT
cana-827	213	12	particularly	particularly	ADV
cana-827	213	13	when	when	SCONJ
cana-827	213	14	path	path	NOUN
cana-827	213	15	length	length	NOUN
cana-827	213	16	,	,	PUNCT
cana-827	213	17	flight	flight	NOUN
cana-827	213	18	time	time	NOUN
cana-827	213	19	,	,	PUNCT
cana-827	213	20	energy	energy	NOUN
cana-827	213	21	consumption	consumption	NOUN
cana-827	213	22	,	,	PUNCT
cana-827	213	23	and	and	CCONJ
cana-827	213	24	solution	solution	NOUN
cana-827	213	25	quality	quality	NOUN
cana-827	213	26	are	be	AUX
cana-827	213	27	the	the	DET
cana-827	213	28	main	main	ADJ
cana-827	213	29	goals	goal	NOUN
cana-827	213	30	.	.	PUNCT
cana-827	214	1	it	it	PRON
cana-827	214	2	is	be	AUX
cana-827	214	3	a	a	DET
cana-827	214	4	great	great	ADJ
cana-827	214	5	option	option	NOUN
cana-827	214	6	for	for	ADP
cana-827	214	7	successful	successful	ADJ
cana-827	214	8	and	and	CCONJ
cana-827	214	9	efficient	efficient	ADJ
cana-827	214	10	drone	drone	NOUN
cana-827	214	11	surveillance	surveillance	NOUN
cana-827	214	12	operations	operation	NOUN
cana-827	214	13	due	due	ADP
cana-827	214	14	to	to	ADP
cana-827	214	15	its	its	PRON
cana-827	214	16	adaptability	adaptability	NOUN
cana-827	214	17	to	to	ADP
cana-827	214	18	various	various	ADJ
cana-827	214	19	scenarios	scenario	NOUN
cana-827	214	20	and	and	CCONJ
cana-827	214	21	resilience	resilience	NOUN
cana-827	214	22	in	in	ADP
cana-827	214	23	changing	change	VERB
cana-827	214	24	conditions	condition	NOUN
cana-827	214	25	.	.	PUNCT
cana-827	215	1	3.3	3.3	NUM
cana-827	215	2	.	.	PUNCT
cana-827	216	1	comparison	comparison	NOUN
cana-827	216	2	analysis	analysis	NOUN
cana-827	216	3	between	between	ADP
cana-827	216	4	ant	ant	ADJ
cana-827	216	5	colony	colony	NOUN
cana-827	216	6	optimization	optimization	NOUN
cana-827	216	7	(	(	PUNCT
cana-827	216	8	aco	aco	PROPN
cana-827	216	9	)	)	PUNCT
cana-827	216	10	and	and	CCONJ
cana-827	216	11	artificial	artificial	ADJ
cana-827	216	12	bee	bee	NOUN
cana-827	216	13	colony	colony	NOUN
cana-827	216	14	optimization	optimization	NOUN
cana-827	216	15	(	(	PUNCT
cana-827	216	16	abc	abc	PROPN
cana-827	216	17	)	)	PUNCT
cana-827	216	18	in	in	ADP
cana-827	216	19	swarm	swarm	NOUN
cana-827	216	20	of	of	ADP
cana-827	216	21	drone	drone	NOUN
cana-827	216	22	surveillance	surveillance	NOUN
cana-827	216	23	performance	performance	NOUN
cana-827	216	24	metrics	metric	NOUN
cana-827	216	25	:	:	PUNCT
cana-827	216	26	path	path	NOUN
cana-827	216	27	length	length	NOUN
cana-827	216	28	:	:	PUNCT
cana-827	217	1	aco	aco	PROPN
cana-827	217	2	tends	tend	VERB
cana-827	217	3	to	to	PART
cana-827	217	4	exhibit	exhibit	VERB
cana-827	217	5	moderate	moderate	ADJ
cana-827	217	6	performance	performance	NOUN
cana-827	217	7	in	in	ADP
cana-827	217	8	optimizing	optimize	VERB
cana-827	217	9	path	path	NOUN
cana-827	217	10	length	length	NOUN
cana-827	217	11	,	,	PUNCT
cana-827	217	12	whereas	whereas	SCONJ
cana-827	217	13	abc	abc	PROPN
cana-827	217	14	often	often	ADV
cana-827	217	15	excels	excel	VERB
cana-827	217	16	in	in	ADP
cana-827	217	17	finding	find	VERB
cana-827	217	18	shorter	short	ADJ
cana-827	217	19	and	and	CCONJ
cana-827	217	20	more	more	ADV
cana-827	217	21	efficient	efficient	ADJ
cana-827	217	22	paths	path	NOUN
cana-827	217	23	.	.	PUNCT
cana-827	218	1	flight	flight	NOUN
cana-827	218	2	time	time	NOUN
cana-827	218	3	:	:	PUNCT
cana-827	218	4	abc	abc	PROPN
cana-827	218	5	typically	typically	ADV
cana-827	218	6	results	result	VERB
cana-827	218	7	in	in	ADP
cana-827	218	8	improved	improved	ADJ
cana-827	218	9	flight	flight	NOUN
cana-827	218	10	times	time	NOUN
cana-827	218	11	,	,	PUNCT
cana-827	218	12	optimizing	optimize	VERB
cana-827	218	13	the	the	DET
cana-827	218	14	duration	duration	NOUN
cana-827	218	15	of	of	ADP
cana-827	218	16	surveillance	surveillance	NOUN
cana-827	218	17	missions	mission	NOUN
cana-827	218	18	.	.	PUNCT
cana-827	219	1	aco	aco	PROPN
cana-827	219	2	's	's	PART
cana-827	219	3	performance	performance	NOUN
cana-827	219	4	in	in	ADP
cana-827	219	5	this	this	DET
cana-827	219	6	aspect	aspect	NOUN
cana-827	219	7	is	be	AUX
cana-827	219	8	relatively	relatively	ADV
cana-827	219	9	moderate	moderate	ADJ
cana-827	219	10	.	.	PUNCT
cana-827	220	1	energy	energy	NOUN
cana-827	220	2	consumption	consumption	NOUN
cana-827	220	3	:	:	PUNCT
cana-827	220	4	abc	abc	PROPN
cana-827	220	5	generally	generally	ADV
cana-827	220	6	demonstrates	demonstrate	VERB
cana-827	220	7	superior	superior	ADJ
cana-827	220	8	energy	energy	NOUN
cana-827	220	9	efficiency	efficiency	NOUN
cana-827	220	10	,	,	PUNCT
cana-827	220	11	leading	lead	VERB
cana-827	220	12	to	to	ADP
cana-827	220	13	lower	low	ADJ
cana-827	220	14	energy	energy	NOUN
cana-827	220	15	consumption	consumption	NOUN
cana-827	220	16	during	during	ADP
cana-827	220	17	drone	drone	NOUN
cana-827	220	18	surveillance	surveillance	NOUN
cana-827	220	19	.	.	PUNCT
cana-827	221	1	aco	aco	PROPN
cana-827	221	2	tends	tend	VERB
cana-827	221	3	to	to	PART
cana-827	221	4	consume	consume	VERB
cana-827	221	5	more	more	ADJ
cana-827	221	6	energy	energy	NOUN
cana-827	221	7	for	for	ADP
cana-827	221	8	similar	similar	ADJ
cana-827	221	9	tasks	task	NOUN
cana-827	221	10	.	.	PUNCT
cana-827	222	1	statistical	statistical	ADJ
cana-827	222	2	values	value	NOUN
cana-827	222	3	:	:	PUNCT
cana-827	222	4	mean	mean	ADJ
cana-827	222	5	and	and	CCONJ
cana-827	222	6	standard	standard	ADJ
cana-827	222	7	deviation	deviation	NOUN
cana-827	222	8	:	:	PUNCT
cana-827	222	9	in	in	ADP
cana-827	222	10	empirical	empirical	ADJ
cana-827	222	11	testing	testing	NOUN
cana-827	222	12	,	,	PUNCT
cana-827	222	13	abc	abc	PROPN
cana-827	222	14	often	often	ADV
cana-827	222	15	yields	yield	VERB
cana-827	222	16	lower	low	ADJ
cana-827	222	17	means	mean	NOUN
cana-827	222	18	and	and	CCONJ
cana-827	222	19	standard	standard	ADJ
cana-827	222	20	deviations	deviation	NOUN
cana-827	222	21	for	for	ADP
cana-827	222	22	path	path	NOUN
cana-827	222	23	length	length	NOUN
cana-827	222	24	,	,	PUNCT
cana-827	222	25	flight	flight	NOUN
cana-827	222	26	time	time	NOUN
cana-827	222	27	,	,	PUNCT
cana-827	222	28	and	and	CCONJ
cana-827	222	29	energy	energy	NOUN
cana-827	222	30	consumption	consumption	NOUN
cana-827	222	31	,	,	PUNCT
cana-827	222	32	indicating	indicate	VERB
cana-827	222	33	more	more	ADV
cana-827	222	34	consistent	consistent	ADJ
cana-827	222	35	and	and	CCONJ
cana-827	222	36	efficient	efficient	ADJ
cana-827	222	37	results	result	NOUN
cana-827	222	38	.	.	PUNCT
cana-827	223	1	convergence	convergence	NOUN
cana-827	223	2	speed	speed	NOUN
cana-827	223	3	:	:	PUNCT
cana-827	223	4	abc	abc	PROPN
cana-827	223	5	typically	typically	ADV
cana-827	223	6	converges	converge	VERB
cana-827	223	7	faster	fast	ADV
cana-827	223	8	to	to	ADP
cana-827	223	9	optimal	optimal	ADJ
cana-827	223	10	or	or	CCONJ
cana-827	223	11	near	near	ADV
cana-827	223	12	-	-	PUNCT
cana-827	223	13	optimal	optimal	ADJ
cana-827	223	14	solutions	solution	NOUN
cana-827	223	15	,	,	PUNCT
cana-827	223	16	reflecting	reflect	VERB
cana-827	223	17	quicker	quick	ADJ
cana-827	223	18	decision	decision	NOUN
cana-827	223	19	-	-	PUNCT
cana-827	223	20	making	making	NOUN
cana-827	223	21	and	and	CCONJ
cana-827	223	22	adaptability	adaptability	NOUN
cana-827	223	23	during	during	ADP
cana-827	223	24	surveillance	surveillance	NOUN
cana-827	223	25	missions	mission	NOUN
cana-827	223	26	.	.	PUNCT
cana-827	224	1	aco	aco	PROPN
cana-827	224	2	converges	converge	VERB
cana-827	224	3	at	at	ADP
cana-827	224	4	a	a	DET
cana-827	224	5	more	more	ADV
cana-827	224	6	moderate	moderate	ADJ
cana-827	224	7	pace	pace	NOUN
cana-827	224	8	.	.	PUNCT
cana-827	225	1	solution	solution	NOUN
cana-827	225	2	quality	quality	NOUN
cana-827	225	3	:	:	PUNCT
cana-827	225	4	abc	abc	PROPN
cana-827	225	5	frequently	frequently	ADV
cana-827	225	6	achieves	achieve	VERB
cana-827	225	7	very	very	ADV
cana-827	225	8	good	good	ADJ
cana-827	225	9	or	or	CCONJ
cana-827	225	10	excellent	excellent	ADJ
cana-827	225	11	solution	solution	NOUN
cana-827	225	12	quality	quality	NOUN
cana-827	225	13	,	,	PUNCT
cana-827	225	14	with	with	ADP
cana-827	225	15	a	a	DET
cana-827	225	16	higher	high	ADJ
cana-827	225	17	rate	rate	NOUN
cana-827	225	18	of	of	ADP
cana-827	225	19	optimal	optimal	ADJ
cana-827	225	20	solutions	solution	NOUN
cana-827	225	21	compared	compare	VERB
cana-827	225	22	to	to	ADP
cana-827	225	23	aco	aco	PROPN
cana-827	225	24	's	's	PART
cana-827	225	25	good	good	ADJ
cana-827	225	26	solution	solution	NOUN
cana-827	225	27	quality	quality	NOUN
cana-827	225	28	.	.	PUNCT
cana-827	226	1	communications	communication	NOUN
cana-827	226	2	on	on	ADP
cana-827	226	3	applied	apply	VERB
cana-827	226	4	nonlinear	nonlinear	ADJ
cana-827	226	5	analysis	analysis	NOUN
cana-827	226	6	issn	issn	NOUN
cana-827	226	7	:	:	PUNCT
cana-827	226	8	1074	1074	NUM
cana-827	226	9	-	-	PUNCT
cana-827	226	10	133x	133x	NUM
cana-827	226	11	vol	vol	NOUN
cana-827	226	12	31	31	NUM
cana-827	226	13	no	no	NOUN
cana-827	226	14	.	.	PUNCT
cana-827	227	1	4s	4s	NUM
cana-827	227	2	(	(	PUNCT
cana-827	227	3	2024	2024	NUM
cana-827	227	4	)	)	PUNCT
cana-827	227	5	35	35	NUM
cana-827	227	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	227	7	efficiency	efficiency	NOUN
cana-827	227	8	:	:	PUNCT
cana-827	227	9	aco	aco	PROPN
cana-827	227	10	efficiency	efficiency	PROPN
cana-827	227	11	:	:	PUNCT
cana-827	227	12	aco	aco	PROPN
cana-827	227	13	is	be	AUX
cana-827	227	14	efficient	efficient	ADJ
cana-827	227	15	for	for	ADP
cana-827	227	16	various	various	ADJ
cana-827	227	17	surveillance	surveillance	NOUN
cana-827	227	18	scenarios	scenario	NOUN
cana-827	227	19	,	,	PUNCT
cana-827	227	20	especially	especially	ADV
cana-827	227	21	when	when	SCONJ
cana-827	227	22	precise	precise	ADJ
cana-827	227	23	path	path	NOUN
cana-827	227	24	optimization	optimization	NOUN
cana-827	227	25	is	be	AUX
cana-827	227	26	required	require	VERB
cana-827	227	27	.	.	PUNCT
cana-827	228	1	however	however	ADV
cana-827	228	2	,	,	PUNCT
cana-827	228	3	it	it	PRON
cana-827	228	4	may	may	AUX
cana-827	228	5	consume	consume	VERB
cana-827	228	6	more	more	ADJ
cana-827	228	7	resources	resource	NOUN
cana-827	228	8	,	,	PUNCT
cana-827	228	9	such	such	ADJ
cana-827	228	10	as	as	ADP
cana-827	228	11	energy	energy	NOUN
cana-827	228	12	,	,	PUNCT
cana-827	228	13	and	and	CCONJ
cana-827	228	14	may	may	AUX
cana-827	228	15	be	be	AUX
cana-827	228	16	less	less	ADV
cana-827	228	17	adaptable	adaptable	ADJ
cana-827	228	18	to	to	ADP
cana-827	228	19	real	real	ADJ
cana-827	228	20	-	-	PUNCT
cana-827	228	21	time	time	NOUN
cana-827	228	22	changes	change	NOUN
cana-827	228	23	in	in	ADP
cana-827	228	24	environmental	environmental	ADJ
cana-827	228	25	conditions	condition	NOUN
cana-827	228	26	.	.	PUNCT
cana-827	229	1	abc	abc	PROPN
cana-827	229	2	efficiency	efficiency	PROPN
cana-827	229	3	:	:	PUNCT
cana-827	229	4	abc	abc	PROPN
cana-827	229	5	is	be	AUX
cana-827	229	6	often	often	ADV
cana-827	229	7	considered	consider	VERB
cana-827	229	8	more	more	ADV
cana-827	229	9	efficient	efficient	ADJ
cana-827	229	10	due	due	ADP
cana-827	229	11	to	to	ADP
cana-827	229	12	its	its	PRON
cana-827	229	13	ability	ability	NOUN
cana-827	229	14	to	to	PART
cana-827	229	15	find	find	VERB
cana-827	229	16	shorter	short	ADJ
cana-827	229	17	paths	path	NOUN
cana-827	229	18	,	,	PUNCT
cana-827	229	19	minimize	minimize	VERB
cana-827	229	20	flight	flight	NOUN
cana-827	229	21	time	time	NOUN
cana-827	229	22	,	,	PUNCT
cana-827	229	23	and	and	CCONJ
cana-827	229	24	optimize	optimize	VERB
cana-827	229	25	energy	energy	NOUN
cana-827	229	26	consumption	consumption	NOUN
cana-827	229	27	.	.	PUNCT
cana-827	230	1	it	it	PRON
cana-827	230	2	demonstrates	demonstrate	VERB
cana-827	230	3	resilience	resilience	NOUN
cana-827	230	4	in	in	ADP
cana-827	230	5	diverse	diverse	ADJ
cana-827	230	6	conditions	condition	NOUN
cana-827	230	7	,	,	PUNCT
cana-827	230	8	making	make	VERB
cana-827	230	9	it	it	PRON
cana-827	230	10	a	a	DET
cana-827	230	11	practical	practical	ADJ
cana-827	230	12	choice	choice	NOUN
cana-827	230	13	for	for	ADP
cana-827	230	14	robust	robust	ADJ
cana-827	230	15	surveillance	surveillance	NOUN
cana-827	230	16	.	.	PUNCT
cana-827	231	1	4	4	X
cana-827	231	2	.	.	X
cana-827	231	3	improvised	improvise	VERB
cana-827	231	4	solution	solution	NOUN
cana-827	231	5	by	by	ADP
cana-827	231	6	developing	develop	VERB
cana-827	231	7	hypothetical	hypothetical	ADJ
cana-827	231	8	hybrid	hybrid	ADJ
cana-827	231	9	algorithm	algorithm	NOUN
cana-827	231	10	4.1	4.1	NUM
cana-827	231	11	.	.	PUNCT
cana-827	232	1	hypothetical	hypothetical	ADJ
cana-827	232	2	hybrid	hybrid	ADJ
cana-827	232	3	algorithm	algorithm	NOUN
cana-827	232	4	’s	’s	PART
cana-827	232	5	pseudocode	pseudocode	PROPN
cana-827	232	6	#	#	NOUN
cana-827	232	7	hybrid	hybrid	NOUN
cana-827	232	8	algorithm	algorithm	NOUN
cana-827	232	9	pseudocode	pseudocode	NOUN
cana-827	232	10	(	(	PUNCT
cana-827	232	11	aco	aco	PROPN
cana-827	232	12	+	+	CCONJ
cana-827	232	13	abc	abc	PROPN
cana-827	232	14	)	)	PUNCT
cana-827	232	15	#	#	NOUN
cana-827	232	16	initialize	initialize	NOUN
cana-827	232	17	parameters	parameter	NOUN
cana-827	232	18	for	for	ADP
cana-827	232	19	both	both	DET
cana-827	232	20	aco	aco	PROPN
cana-827	232	21	and	and	CCONJ
cana-827	232	22	abc	abc	PROPN
cana-827	232	23	aco_params	aco_param	VERB
cana-827	232	24	=	=	PUNCT
cana-827	232	25	{	{	PUNCT
cana-827	232	26	...	...	PUNCT
cana-827	232	27	}	}	PUNCT
cana-827	232	28	#	#	NOUN
cana-827	232	29	parameters	parameter	NOUN
cana-827	232	30	for	for	ADP
cana-827	232	31	aco	aco	PROPN
cana-827	232	32	abc_params	abc_params	PUNCT
cana-827	232	33	=	=	PRON
cana-827	232	34	{	{	PUNCT
cana-827	232	35	...	...	PUNCT
cana-827	232	36	}	}	PUNCT
cana-827	232	37	#	#	NOUN
cana-827	232	38	parameters	parameter	NOUN
cana-827	232	39	for	for	ADP
cana-827	232	40	abc	abc	PROPN
cana-827	232	41	#	#	NOUN
cana-827	232	42	initialize	initialize	NOUN
cana-827	232	43	pheromone	pheromone	NOUN
cana-827	232	44	matrices	matrix	NOUN
cana-827	232	45	and	and	CCONJ
cana-827	232	46	other	other	ADJ
cana-827	232	47	variables	variable	NOUN
cana-827	232	48	for	for	ADP
cana-827	232	49	aco	aco	PROPN
cana-827	232	50	pheromone_matrix	pheromone_matrix	NOUN
cana-827	232	51	=	=	SYM
cana-827	232	52	initialize_pheromone_matrix	initialize_pheromone_matrix	X
cana-827	232	53	(	(	PUNCT
cana-827	232	54	)	)	PUNCT
cana-827	232	55	...	...	PUNCT
cana-827	233	1	#	#	NOUN
cana-827	233	2	initialize	initialize	NOUN
cana-827	233	3	populations	population	NOUN
cana-827	233	4	and	and	CCONJ
cana-827	233	5	other	other	ADJ
cana-827	233	6	variables	variable	NOUN
cana-827	233	7	for	for	ADP
cana-827	233	8	abc	abc	PROPN
cana-827	233	9	employed_bees	employed_bee	NOUN
cana-827	233	10	=	=	SYM
cana-827	233	11	initialize_employed_bees	initialize_employed_bee	NOUN
cana-827	233	12	(	(	PUNCT
cana-827	233	13	)	)	PUNCT
cana-827	233	14	onlooker_bees	onlooker_bee	NOUN
cana-827	233	15	=	=	SYM
cana-827	233	16	initialize_onlooker_bees	initialize_onlooker_bee	NOUN
cana-827	233	17	(	(	PUNCT
cana-827	233	18	)	)	PUNCT
cana-827	233	19	scout_bees	scout_bee	NOUN
cana-827	233	20	=	=	SYM
cana-827	233	21	initialize_scout_bees	initialize_scout_bee	NOUN
cana-827	233	22	(	(	PUNCT
cana-827	233	23	)	)	PUNCT
cana-827	233	24	...	...	PUNCT
cana-827	234	1	#	#	NOUN
cana-827	234	2	set	set	VERB
cana-827	234	3	the	the	DET
cana-827	234	4	number	number	NOUN
cana-827	234	5	of	of	ADP
cana-827	234	6	iterations	iteration	NOUN
cana-827	234	7	max_iterations	max_iteration	NOUN
cana-827	234	8	=	=	SYM
cana-827	234	9	...	...	PUNCT
cana-827	234	10	#	#	NOUN
cana-827	234	11	main	main	ADJ
cana-827	234	12	optimization	optimization	NOUN
cana-827	234	13	loop	loop	NOUN
cana-827	234	14	for	for	ADP
cana-827	234	15	iteration	iteration	NOUN
cana-827	234	16	in	in	ADP
cana-827	234	17	range(max_iterations	range(max_iteration	NOUN
cana-827	234	18	):	):	PUNCT
cana-827	234	19	#	#	NOUN
cana-827	234	20	aco	aco	NOUN
cana-827	234	21	phase	phase	NOUN
cana-827	234	22	aco_solutions	aco_solution	VERB
cana-827	234	23	=	=	PUNCT
cana-827	235	1	[	[	X
cana-827	235	2	]	]	X
cana-827	235	3	for	for	ADP
cana-827	235	4	ant	ant	NOUN
cana-827	235	5	in	in	ADP
cana-827	235	6	range(aco_params['num_ants	range(aco_params['num_ant	NOUN
cana-827	235	7	'	'	PART
cana-827	235	8	]	]	PUNCT
cana-827	235	9	):	):	PUNCT
cana-827	235	10	aco_solution	aco_solution	X
cana-827	235	11	=	=	SYM
cana-827	235	12	aco_construct_solution(pheromone_matrix	aco_construct_solution(pheromone_matrix	NOUN
cana-827	235	13	)	)	PUNCT
cana-827	235	14	aco_solutions.append(aco_solution	aco_solutions.append(aco_solution	NOUN
cana-827	235	15	)	)	PUNCT
cana-827	235	16	#	#	NOUN
cana-827	235	17	update	update	NOUN
cana-827	235	18	pheromone	pheromone	NOUN
cana-827	235	19	matrix	matrix	NOUN
cana-827	235	20	based	base	VERB
cana-827	235	21	on	on	ADP
cana-827	235	22	aco	aco	PROPN
cana-827	235	23	solutions	solution	NOUN
cana-827	235	24	update_pheromone_matrix(aco_solutions	update_pheromone_matrix(aco_solution	NOUN
cana-827	235	25	)	)	PUNCT
cana-827	235	26	#	#	NOUN
cana-827	235	27	abc	abc	NOUN
cana-827	235	28	phase	phase	NOUN
cana-827	235	29	abc_solutions	abc_solution	NOUN
cana-827	235	30	=	=	PUNCT
cana-827	236	1	[	[	X
cana-827	236	2	]	]	X
cana-827	236	3	for	for	ADP
cana-827	236	4	employed_bee	employed_bee	NUM
cana-827	236	5	in	in	ADP
cana-827	236	6	employed_bees	employed_bee	NOUN
cana-827	236	7	:	:	PUNCT
cana-827	236	8	abc_solution	abc_solution	NOUN
cana-827	236	9	=	=	SYM
cana-827	236	10	abc_modify_solution(employed_bee['solution	abc_modify_solution(employed_bee['solution	NOUN
cana-827	236	11	'	'	PUNCT
cana-827	236	12	]	]	PUNCT
cana-827	236	13	)	)	PUNCT
cana-827	236	14	abc_solutions.append(abc_solution	abc_solutions.append(abc_solution	NOUN
cana-827	236	15	)	)	PUNCT
cana-827	236	16	#	#	NOUN
cana-827	236	17	update	update	NOUN
cana-827	236	18	employed	employ	VERB
cana-827	236	19	bees	bee	NOUN
cana-827	236	20	based	base	VERB
cana-827	236	21	on	on	ADP
cana-827	236	22	abc	abc	PROPN
cana-827	236	23	solutions	solution	NOUN
cana-827	236	24	update_employed_bees(abc_solutions	update_employed_bees(abc_solution	NOUN
cana-827	236	25	)	)	PUNCT
cana-827	236	26	#	#	NOUN
cana-827	236	27	onlooker	onlooker	NOUN
cana-827	236	28	bees	bee	NOUN
cana-827	236	29	phase	phase	NOUN
cana-827	236	30	(	(	PUNCT
cana-827	236	31	abc	abc	PROPN
cana-827	236	32	)	)	PUNCT
cana-827	236	33	#	#	NOUN
cana-827	236	34	...	...	PUNCT
cana-827	236	35	(	(	PUNCT
cana-827	236	36	same	same	ADJ
cana-827	236	37	as	as	ADP
cana-827	236	38	in	in	ADP
cana-827	236	39	the	the	DET
cana-827	236	40	abc	abc	PROPN
cana-827	236	41	algorithm	algorithm	PROPN
cana-827	236	42	)	)	PUNCT
cana-827	236	43	communications	communication	NOUN
cana-827	236	44	on	on	ADP
cana-827	236	45	applied	apply	VERB
cana-827	236	46	nonlinear	nonlinear	ADJ
cana-827	236	47	analysis	analysis	NOUN
cana-827	236	48	issn	issn	NOUN
cana-827	236	49	:	:	PUNCT
cana-827	236	50	1074	1074	NUM
cana-827	236	51	-	-	PUNCT
cana-827	236	52	133x	133x	NUM
cana-827	236	53	vol	vol	NOUN
cana-827	236	54	31	31	NUM
cana-827	236	55	no	no	NOUN
cana-827	236	56	.	.	PUNCT
cana-827	237	1	4s	4s	NUM
cana-827	237	2	(	(	PUNCT
cana-827	237	3	2024	2024	NUM
cana-827	237	4	)	)	PUNCT
cana-827	237	5	36	36	NUM
cana-827	237	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	237	7	#	#	NOUN
cana-827	237	8	scout	scout	NOUN
cana-827	237	9	bees	bee	NOUN
cana-827	237	10	phase	phase	NOUN
cana-827	237	11	(	(	PUNCT
cana-827	237	12	abc	abc	PROPN
cana-827	237	13	)	)	PUNCT
cana-827	237	14	#	#	NOUN
cana-827	237	15	...	...	PUNCT
cana-827	237	16	(	(	PUNCT
cana-827	237	17	same	same	ADJ
cana-827	237	18	as	as	ADP
cana-827	237	19	in	in	ADP
cana-827	237	20	the	the	DET
cana-827	237	21	abc	abc	PROPN
cana-827	237	22	algorithm	algorithm	PROPN
cana-827	237	23	)	)	PUNCT
cana-827	237	24	#	#	NOUN
cana-827	237	25	select	select	VERB
cana-827	237	26	the	the	DET
cana-827	237	27	best	good	ADJ
cana-827	237	28	solution	solution	NOUN
cana-827	237	29	among	among	ADP
cana-827	237	30	aco	aco	PROPN
cana-827	237	31	and	and	CCONJ
cana-827	237	32	abc	abc	PROPN
cana-827	237	33	solutions	solutions	PROPN
cana-827	237	34	best_aco_solution	best_aco_solution	NOUN
cana-827	237	35	=	=	SYM
cana-827	237	36	select_best_solution(aco_solutions	select_best_solution(aco_solution	NOUN
cana-827	237	37	)	)	PUNCT
cana-827	237	38	best_abc_solution	best_abc_solution	NOUN
cana-827	237	39	=	=	SYM
cana-827	237	40	select_best_solution(abc_solutions	select_best_solution(abc_solution	NOUN
cana-827	237	41	)	)	PUNCT
cana-827	237	42	if	if	SCONJ
cana-827	237	43	best_aco_solution.fitness	best_aco_solution.fitness	PROPN
cana-827	237	44	<	<	X
cana-827	237	45	best_abc_solution.fitness	best_abc_solution.fitness	PROPN
cana-827	237	46	:	:	PUNCT
cana-827	237	47	best_solution	best_solution	NOUN
cana-827	237	48	=	=	SYM
cana-827	237	49	best_aco_solution	best_aco_solution	NOUN
cana-827	237	50	else	else	ADV
cana-827	237	51	:	:	PUNCT
cana-827	237	52	best_solution	best_solution	NOUN
cana-827	237	53	=	=	SYM
cana-827	237	54	best_abc_solution	best_abc_solution	NOUN
cana-827	237	55	#	#	NOUN
cana-827	237	56	return	return	VERB
cana-827	237	57	the	the	DET
cana-827	237	58	best	good	ADJ
cana-827	237	59	solution	solution	NOUN
cana-827	237	60	found	find	VERB
cana-827	237	61	return	return	NOUN
cana-827	237	62	best_solution	best_solution	NOUN
cana-827	237	63	4.2	4.2	NUM
cana-827	237	64	.	.	PUNCT
cana-827	238	1	algorithm	algorithm	NOUN
cana-827	238	2	it	it	PRON
cana-827	238	3	is	be	AUX
cana-827	238	4	a	a	DET
cana-827	238	5	difficult	difficult	ADJ
cana-827	238	6	undertaking	undertaking	NOUN
cana-827	238	7	that	that	PRON
cana-827	238	8	usually	usually	ADV
cana-827	238	9	takes	take	VERB
cana-827	238	10	a	a	DET
cana-827	238	11	large	large	ADJ
cana-827	238	12	amount	amount	NOUN
cana-827	238	13	of	of	ADP
cana-827	238	14	research	research	NOUN
cana-827	238	15	and	and	CCONJ
cana-827	238	16	development	development	NOUN
cana-827	238	17	to	to	PART
cana-827	238	18	combine	combine	VERB
cana-827	238	19	two	two	NUM
cana-827	238	20	optimisation	optimisation	NOUN
cana-827	238	21	algorithms	algorithm	NOUN
cana-827	238	22	,	,	PUNCT
cana-827	238	23	such	such	ADJ
cana-827	238	24	as	as	ADP
cana-827	238	25	ant	ant	ADJ
cana-827	238	26	colony	colony	NOUN
cana-827	238	27	optimisation	optimisation	NOUN
cana-827	238	28	(	(	PUNCT
cana-827	238	29	aco	aco	PROPN
cana-827	238	30	)	)	PUNCT
cana-827	238	31	and	and	CCONJ
cana-827	238	32	artificial	artificial	ADJ
cana-827	238	33	bee	bee	NOUN
cana-827	238	34	colony	colony	NOUN
cana-827	238	35	optimisation	optimisation	NOUN
cana-827	238	36	(	(	PUNCT
cana-827	238	37	abc	abc	PROPN
cana-827	238	38	)	)	PUNCT
cana-827	238	39	,	,	PUNCT
cana-827	238	40	into	into	ADP
cana-827	238	41	a	a	DET
cana-827	238	42	single	single	ADJ
cana-827	238	43	hybrid	hybrid	ADJ
cana-827	238	44	algorithm	algorithm	NOUN
cana-827	238	45	.	.	PUNCT
cana-827	239	1	these	these	DET
cana-827	239	2	hybrids	hybrid	NOUN
cana-827	239	3	are	be	AUX
cana-827	239	4	frequently	frequently	ADV
cana-827	239	5	designed	design	VERB
cana-827	239	6	to	to	PART
cana-827	239	7	address	address	VERB
cana-827	239	8	specific	specific	ADJ
cana-827	239	9	optimisation	optimisation	NOUN
cana-827	239	10	issues	issue	NOUN
cana-827	239	11	and	and	CCONJ
cana-827	239	12	are	be	AUX
cana-827	239	13	problem	problem	NOUN
cana-827	239	14	-	-	PUNCT
cana-827	239	15	specific	specific	ADJ
cana-827	239	16	.	.	PUNCT
cana-827	239	17	finding	find	VERB
cana-827	239	18	complimentary	complimentary	ADJ
cana-827	239	19	ways	way	NOUN
cana-827	239	20	for	for	SCONJ
cana-827	239	21	these	these	DET
cana-827	239	22	algorithms	algorithm	NOUN
cana-827	239	23	to	to	PART
cana-827	239	24	work	work	VERB
cana-827	239	25	together	together	ADV
cana-827	239	26	and	and	CCONJ
cana-827	239	27	coordinate	coordinate	VERB
cana-827	239	28	is	be	AUX
cana-827	239	29	the	the	DET
cana-827	239	30	first	first	ADJ
cana-827	239	31	step	step	NOUN
cana-827	239	32	in	in	ADP
cana-827	239	33	combining	combine	VERB
cana-827	239	34	them	they	PRON
cana-827	239	35	.	.	PUNCT
cana-827	240	1	i	i	PRON
cana-827	240	2	am	be	AUX
cana-827	240	3	unable	unable	ADJ
cana-827	240	4	to	to	PART
cana-827	240	5	supply	supply	VERB
cana-827	240	6	you	you	PRON
cana-827	240	7	a	a	DET
cana-827	240	8	specific	specific	ADJ
cana-827	240	9	merged	merge	VERB
cana-827	240	10	technique	technique	NOUN
cana-827	240	11	or	or	CCONJ
cana-827	240	12	dataset	dataset	NOUN
cana-827	240	13	for	for	ADP
cana-827	240	14	the	the	DET
cana-827	240	15	metrics	metric	NOUN
cana-827	240	16	you	you	PRON
cana-827	240	17	requested	request	VERB
cana-827	240	18	,	,	PUNCT
cana-827	240	19	as	as	SCONJ
cana-827	240	20	merging	merge	VERB
cana-827	240	21	these	these	DET
cana-827	240	22	algorithms	algorithm	NOUN
cana-827	240	23	is	be	AUX
cana-827	240	24	very	very	ADV
cana-827	240	25	problem	problem	NOUN
cana-827	240	26	-	-	PUNCT
cana-827	240	27	dependent	dependent	ADJ
cana-827	240	28	and	and	CCONJ
cana-827	240	29	necessitates	necessitate	VERB
cana-827	240	30	significant	significant	ADJ
cana-827	240	31	research	research	NOUN
cana-827	240	32	and	and	CCONJ
cana-827	240	33	finetuning	finetuning	NOUN
cana-827	240	34	.	.	PUNCT
cana-827	241	1	but	but	CCONJ
cana-827	241	2	i	i	PRON
cana-827	241	3	can	can	AUX
cana-827	241	4	provide	provide	VERB
cana-827	241	5	the	the	DET
cana-827	241	6	general	general	ADJ
cana-827	241	7	procedure	procedure	NOUN
cana-827	241	8	for	for	ADP
cana-827	241	9	developing	develop	VERB
cana-827	241	10	a	a	DET
cana-827	241	11	hybrid	hybrid	ADJ
cana-827	241	12	algorithm	algorithm	NOUN
cana-827	241	13	and	and	CCONJ
cana-827	241	14	how	how	SCONJ
cana-827	241	15	you	you	PRON
cana-827	241	16	may	may	AUX
cana-827	241	17	assess	assess	VERB
cana-827	241	18	its	its	PRON
cana-827	241	19	effectiveness	effectiveness	NOUN
cana-827	241	20	:	:	PUNCT
cana-827	241	21	creating	create	VERB
cana-827	241	22	hybrid	hybrid	ADJ
cana-827	241	23	algorithms	algorithm	NOUN
cana-827	241	24	:	:	PUNCT
cana-827	241	25	algorithm	algorithm	NOUN
cana-827	241	26	selection	selection	NOUN
cana-827	241	27	:	:	PUNCT
cana-827	241	28	decide	decide	VERB
cana-827	241	29	which	which	DET
cana-827	241	30	particular	particular	ADJ
cana-827	241	31	aco	aco	PROPN
cana-827	241	32	and	and	CCONJ
cana-827	241	33	abc	abc	PROPN
cana-827	241	34	versions	version	NOUN
cana-827	241	35	to	to	PART
cana-827	241	36	mix	mix	VERB
cana-827	241	37	.	.	PUNCT
cana-827	242	1	integration	integration	NOUN
cana-827	242	2	approach	approach	NOUN
cana-827	242	3	:	:	PUNCT
cana-827	242	4	determine	determine	VERB
cana-827	242	5	the	the	DET
cana-827	242	6	relationship	relationship	NOUN
cana-827	242	7	between	between	ADP
cana-827	242	8	the	the	DET
cana-827	242	9	two	two	NUM
cana-827	242	10	algorithms	algorithm	NOUN
cana-827	242	11	.	.	PUNCT
cana-827	243	1	will	will	AUX
cana-827	243	2	they	they	PRON
cana-827	243	3	cooperate	cooperate	VERB
cana-827	243	4	,	,	PUNCT
cana-827	243	5	operate	operate	VERB
cana-827	243	6	in	in	ADP
cana-827	243	7	parallel	parallel	NOUN
cana-827	243	8	,	,	PUNCT
cana-827	243	9	or	or	CCONJ
cana-827	243	10	in	in	ADP
cana-827	243	11	steps	step	NOUN
cana-827	243	12	?	?	PUNCT
cana-827	244	1	specify	specify	VERB
cana-827	244	2	how	how	SCONJ
cana-827	244	3	they	they	PRON
cana-827	244	4	will	will	AUX
cana-827	244	5	exchange	exchange	VERB
cana-827	244	6	information	information	NOUN
cana-827	244	7	and	and	CCONJ
cana-827	244	8	affect	affect	VERB
cana-827	244	9	one	one	NUM
cana-827	244	10	another	another	PRON
cana-827	244	11	's	's	PART
cana-827	244	12	choices	choice	NOUN
cana-827	244	13	.	.	PUNCT
cana-827	245	1	determine	determine	VERB
cana-827	245	2	the	the	DET
cana-827	245	3	parameters	parameter	NOUN
cana-827	245	4	for	for	ADP
cana-827	245	5	the	the	DET
cana-827	245	6	hybrid	hybrid	ADJ
cana-827	245	7	algorithm	algorithm	NOUN
cana-827	245	8	;	;	PUNCT
cana-827	245	9	they	they	PRON
cana-827	245	10	may	may	AUX
cana-827	245	11	need	need	VERB
cana-827	245	12	to	to	PART
cana-827	245	13	be	be	AUX
cana-827	245	14	adjusted	adjust	VERB
cana-827	245	15	and	and	CCONJ
cana-827	245	16	optimised	optimise	VERB
cana-827	245	17	.	.	PUNCT
cana-827	246	1	these	these	DET
cana-827	246	2	characteristics	characteristic	NOUN
cana-827	246	3	might	might	AUX
cana-827	246	4	be	be	AUX
cana-827	246	5	related	relate	VERB
cana-827	246	6	to	to	ADP
cana-827	246	7	scout	scout	VERB
cana-827	246	8	bee	bee	PROPN
cana-827	246	9	exploration	exploration	NOUN
cana-827	246	10	,	,	PUNCT
cana-827	246	11	pheromone	pheromone	NOUN
cana-827	246	12	updating	updating	NOUN
cana-827	246	13	,	,	PUNCT
cana-827	246	14	and	and	CCONJ
cana-827	246	15	solution	solution	NOUN
cana-827	246	16	generation	generation	NOUN
cana-827	246	17	.	.	PUNCT
cana-827	247	1	implementation	implementation	NOUN
cana-827	247	2	:	:	PUNCT
cana-827	247	3	put	put	VERB
cana-827	247	4	the	the	DET
cana-827	247	5	selected	select	VERB
cana-827	247	6	techniques	technique	NOUN
cana-827	247	7	and	and	CCONJ
cana-827	247	8	parameters	parameter	NOUN
cana-827	247	9	into	into	ADP
cana-827	247	10	practise	practise	NOUN
cana-827	247	11	to	to	PART
cana-827	247	12	create	create	VERB
cana-827	247	13	the	the	DET
cana-827	247	14	hybrid	hybrid	ADJ
cana-827	247	15	algorithm	algorithm	NOUN
cana-827	247	16	.	.	PUNCT
cana-827	248	1	4.3	4.3	NUM
cana-827	248	2	.	.	PUNCT
cana-827	249	1	analysis	analysis	NOUN
cana-827	249	2	using	use	VERB
cana-827	249	3	use	use	NOUN
cana-827	249	4	case	case	NOUN
cana-827	249	5	it	it	PRON
cana-827	249	6	's	be	AUX
cana-827	249	7	critical	critical	ADJ
cana-827	249	8	to	to	PART
cana-827	249	9	identify	identify	VERB
cana-827	249	10	and	and	CCONJ
cana-827	249	11	comprehend	comprehend	VERB
cana-827	249	12	the	the	DET
cana-827	249	13	performance	performance	NOUN
cana-827	249	14	metrics	metric	NOUN
cana-827	249	15	that	that	PRON
cana-827	249	16	can	can	AUX
cana-827	249	17	be	be	AUX
cana-827	249	18	used	use	VERB
cana-827	249	19	to	to	PART
cana-827	249	20	evaluate	evaluate	VERB
cana-827	249	21	the	the	DET
cana-827	249	22	efficacy	efficacy	NOUN
cana-827	249	23	and	and	CCONJ
cana-827	249	24	efficiency	efficiency	NOUN
cana-827	249	25	of	of	ADP
cana-827	249	26	a	a	DET
cana-827	249	27	hypothetical	hypothetical	ADJ
cana-827	249	28	hybrid	hybrid	ADJ
cana-827	249	29	algorithm	algorithm	NOUN
cana-827	249	30	that	that	PRON
cana-827	249	31	combines	combine	VERB
cana-827	249	32	artificial	artificial	ADJ
cana-827	249	33	bee	bee	NOUN
cana-827	249	34	colony	colony	NOUN
cana-827	249	35	optimisation	optimisation	NOUN
cana-827	249	36	(	(	PUNCT
cana-827	249	37	abc	abc	PROPN
cana-827	249	38	)	)	PUNCT
cana-827	249	39	and	and	CCONJ
cana-827	249	40	ant	ant	ADJ
cana-827	249	41	colony	colony	NOUN
cana-827	249	42	optimisation	optimisation	NOUN
cana-827	249	43	(	(	PUNCT
cana-827	249	44	aco	aco	PROPN
cana-827	249	45	)	)	PUNCT
cana-827	249	46	in	in	ADP
cana-827	249	47	order	order	NOUN
cana-827	249	48	to	to	PART
cana-827	249	49	optimise	optimise	VERB
cana-827	249	50	drone	drone	NOUN
cana-827	249	51	surveillance	surveillance	NOUN
cana-827	249	52	in	in	ADP
cana-827	249	53	a	a	DET
cana-827	249	54	forest	forest	NOUN
cana-827	249	55	environment	environment	NOUN
cana-827	249	56	.	.	PUNCT
cana-827	250	1	path	path	NOUN
cana-827	250	2	length	length	NOUN
cana-827	250	3	:	:	PUNCT
cana-827	250	4	this	this	DET
cana-827	250	5	indicator	indicator	NOUN
cana-827	250	6	shows	show	VERB
cana-827	250	7	how	how	SCONJ
cana-827	250	8	far	far	ADV
cana-827	250	9	the	the	DET
cana-827	250	10	drone	drone	NOUN
cana-827	250	11	flew	fly	VERB
cana-827	250	12	in	in	ADP
cana-827	250	13	order	order	NOUN
cana-827	250	14	to	to	PART
cana-827	250	15	scan	scan	VERB
cana-827	250	16	the	the	DET
cana-827	250	17	forest	forest	NOUN
cana-827	250	18	.	.	PUNCT
cana-827	251	1	shorter	short	ADJ
cana-827	251	2	path	path	NOUN
cana-827	251	3	lengths	length	NOUN
cana-827	251	4	are	be	AUX
cana-827	251	5	preferable	preferable	ADJ
cana-827	251	6	in	in	ADP
cana-827	251	7	a	a	DET
cana-827	251	8	forest	forest	NOUN
cana-827	251	9	surveillance	surveillance	NOUN
cana-827	251	10	situation	situation	NOUN
cana-827	251	11	because	because	SCONJ
cana-827	251	12	they	they	PRON
cana-827	251	13	minimise	minimise	VERB
cana-827	251	14	the	the	DET
cana-827	251	15	chance	chance	NOUN
cana-827	251	16	of	of	ADP
cana-827	251	17	a	a	DET
cana-827	251	18	drone	drone	NOUN
cana-827	251	19	colliding	collide	VERB
cana-827	251	20	with	with	ADP
cana-827	251	21	trees	tree	NOUN
cana-827	251	22	,	,	PUNCT
cana-827	251	23	optimise	optimise	ADJ
cana-827	251	24	fuel	fuel	NOUN
cana-827	251	25	or	or	CCONJ
cana-827	251	26	battery	battery	NOUN
cana-827	251	27	usage	usage	NOUN
cana-827	251	28	,	,	PUNCT
cana-827	251	29	and	and	CCONJ
cana-827	251	30	shorten	shorten	VERB
cana-827	251	31	the	the	DET
cana-827	251	32	mission	mission	NOUN
cana-827	251	33	duration	duration	NOUN
cana-827	251	34	overall	overall	NOUN
cana-827	251	35	.	.	PUNCT
cana-827	252	1	the	the	DET
cana-827	252	2	goal	goal	NOUN
cana-827	252	3	of	of	ADP
cana-827	252	4	the	the	DET
cana-827	252	5	hybrid	hybrid	ADJ
cana-827	252	6	algorithm	algorithm	NOUN
cana-827	252	7	should	should	AUX
cana-827	252	8	be	be	AUX
cana-827	252	9	to	to	PART
cana-827	252	10	reduce	reduce	VERB
cana-827	252	11	path	path	NOUN
cana-827	252	12	length	length	NOUN
cana-827	252	13	,	,	PUNCT
cana-827	252	14	which	which	PRON
cana-827	252	15	will	will	AUX
cana-827	252	16	aid	aid	VERB
cana-827	252	17	in	in	ADP
cana-827	252	18	effective	effective	ADJ
cana-827	252	19	and	and	CCONJ
cana-827	252	20	secure	secure	ADJ
cana-827	252	21	monitoring	monitoring	NOUN
cana-827	252	22	.	.	PUNCT
cana-827	253	1	flight	flight	NOUN
cana-827	253	2	time	time	NOUN
cana-827	253	3	:	:	PUNCT
cana-827	253	4	this	this	PRON
cana-827	253	5	is	be	AUX
cana-827	253	6	the	the	DET
cana-827	253	7	amount	amount	NOUN
cana-827	253	8	of	of	ADP
cana-827	253	9	time	time	NOUN
cana-827	253	10	needed	need	VERB
cana-827	253	11	for	for	SCONJ
cana-827	253	12	the	the	DET
cana-827	253	13	drone	drone	NOUN
cana-827	253	14	to	to	PART
cana-827	253	15	finish	finish	VERB
cana-827	253	16	its	its	PRON
cana-827	253	17	surveillance	surveillance	NOUN
cana-827	253	18	task	task	NOUN
cana-827	253	19	.	.	PUNCT
cana-827	254	1	by	by	ADP
cana-827	254	2	preserving	preserve	VERB
cana-827	254	3	energy	energy	NOUN
cana-827	254	4	and	and	CCONJ
cana-827	254	5	cutting	cut	VERB
cana-827	254	6	expenses	expense	NOUN
cana-827	254	7	associated	associate	VERB
cana-827	254	8	with	with	ADP
cana-827	254	9	operations	operation	NOUN
cana-827	254	10	,	,	PUNCT
cana-827	254	11	a	a	DET
cana-827	254	12	shorter	short	ADJ
cana-827	254	13	flight	flight	NOUN
cana-827	254	14	duration	duration	NOUN
cana-827	254	15	improves	improve	VERB
cana-827	254	16	communications	communication	NOUN
cana-827	254	17	on	on	ADP
cana-827	254	18	applied	apply	VERB
cana-827	254	19	nonlinear	nonlinear	ADJ
cana-827	254	20	analysis	analysis	NOUN
cana-827	254	21	issn	issn	NOUN
cana-827	254	22	:	:	PUNCT
cana-827	254	23	1074	1074	NUM
cana-827	254	24	-	-	PUNCT
cana-827	254	25	133x	133x	NUM
cana-827	254	26	vol	vol	NOUN
cana-827	254	27	31	31	NUM
cana-827	254	28	no	no	NOUN
cana-827	254	29	.	.	PUNCT
cana-827	255	1	4s	4s	NUM
cana-827	255	2	(	(	PUNCT
cana-827	255	3	2024	2024	NUM
cana-827	255	4	)	)	PUNCT
cana-827	255	5	37	37	NUM
cana-827	255	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	255	7	efficiency	efficiency	NOUN
cana-827	255	8	.	.	PUNCT
cana-827	256	1	additionally	additionally	ADV
cana-827	256	2	,	,	PUNCT
cana-827	256	3	it	it	PRON
cana-827	256	4	reduces	reduce	VERB
cana-827	256	5	the	the	DET
cana-827	256	6	window	window	NOUN
cana-827	256	7	of	of	ADP
cana-827	256	8	opportunity	opportunity	NOUN
cana-827	256	9	for	for	ADP
cana-827	256	10	any	any	DET
cana-827	256	11	disruptions	disruption	NOUN
cana-827	256	12	or	or	CCONJ
cana-827	256	13	alterations	alteration	NOUN
cana-827	256	14	to	to	ADP
cana-827	256	15	the	the	DET
cana-827	256	16	forest	forest	NOUN
cana-827	256	17	ecosystem	ecosystem	NOUN
cana-827	256	18	.	.	PUNCT
cana-827	257	1	energy	energy	NOUN
cana-827	257	2	consumption	consumption	NOUN
cana-827	257	3	:	:	PUNCT
cana-827	257	4	this	this	DET
cana-827	257	5	indicator	indicator	NOUN
cana-827	257	6	shows	show	VERB
cana-827	257	7	how	how	SCONJ
cana-827	257	8	much	much	ADJ
cana-827	257	9	energy	energy	NOUN
cana-827	257	10	,	,	PUNCT
cana-827	257	11	such	such	ADJ
cana-827	257	12	as	as	ADP
cana-827	257	13	fuel	fuel	NOUN
cana-827	257	14	or	or	CCONJ
cana-827	257	15	battery	battery	NOUN
cana-827	257	16	power	power	NOUN
cana-827	257	17	,	,	PUNCT
cana-827	257	18	was	be	AUX
cana-827	257	19	utilised	utilise	VERB
cana-827	257	20	by	by	ADP
cana-827	257	21	the	the	DET
cana-827	257	22	drone	drone	NOUN
cana-827	257	23	to	to	PART
cana-827	257	24	carry	carry	VERB
cana-827	257	25	out	out	ADP
cana-827	257	26	its	its	PRON
cana-827	257	27	surveillance	surveillance	NOUN
cana-827	257	28	task	task	NOUN
cana-827	257	29	.	.	PUNCT
cana-827	258	1	optimising	optimise	VERB
cana-827	258	2	energy	energy	NOUN
cana-827	258	3	usage	usage	NOUN
cana-827	258	4	is	be	AUX
cana-827	258	5	crucial	crucial	ADJ
cana-827	258	6	in	in	ADP
cana-827	258	7	a	a	DET
cana-827	258	8	forest	forest	NOUN
cana-827	258	9	environment	environment	NOUN
cana-827	258	10	so	so	SCONJ
cana-827	258	11	that	that	SCONJ
cana-827	258	12	the	the	DET
cana-827	258	13	drone	drone	NOUN
cana-827	258	14	can	can	AUX
cana-827	258	15	cover	cover	VERB
cana-827	258	16	more	more	ADJ
cana-827	258	17	ground	ground	NOUN
cana-827	258	18	and	and	CCONJ
cana-827	258	19	not	not	PART
cana-827	258	20	require	require	VERB
cana-827	258	21	frequent	frequent	ADJ
cana-827	258	22	refuelling	refuelling	NOUN
cana-827	258	23	or	or	CCONJ
cana-827	258	24	charging	charging	NOUN
cana-827	258	25	.	.	PUNCT
cana-827	259	1	lower	low	ADJ
cana-827	259	2	energy	energy	NOUN
cana-827	259	3	use	use	NOUN
cana-827	259	4	also	also	ADV
cana-827	259	5	lessens	lessen	VERB
cana-827	259	6	the	the	DET
cana-827	259	7	monitoring	monitoring	NOUN
cana-827	259	8	mission	mission	NOUN
cana-827	259	9	's	's	PART
cana-827	259	10	environmental	environmental	ADJ
cana-827	259	11	effect	effect	NOUN
cana-827	259	12	.	.	PUNCT
cana-827	260	1	solution	solution	NOUN
cana-827	260	2	quality	quality	NOUN
cana-827	260	3	:	:	PUNCT
cana-827	260	4	a	a	DET
cana-827	260	5	solution	solution	NOUN
cana-827	260	6	's	's	PART
cana-827	260	7	quality	quality	NOUN
cana-827	260	8	reveals	reveal	VERB
cana-827	260	9	how	how	SCONJ
cana-827	260	10	effectively	effectively	ADV
cana-827	260	11	the	the	DET
cana-827	260	12	drone	drone	NOUN
cana-827	260	13	's	's	PART
cana-827	260	14	flight	flight	NOUN
cana-827	260	15	route	route	NOUN
cana-827	260	16	accomplishes	accomplish	VERB
cana-827	260	17	the	the	DET
cana-827	260	18	surveillance	surveillance	NOUN
cana-827	260	19	goals	goal	NOUN
cana-827	260	20	.	.	PUNCT
cana-827	261	1	it	it	PRON
cana-827	261	2	can	can	AUX
cana-827	261	3	be	be	AUX
cana-827	261	4	assessed	assess	VERB
cana-827	261	5	by	by	ADP
cana-827	261	6	looking	look	VERB
cana-827	261	7	at	at	ADP
cana-827	261	8	how	how	SCONJ
cana-827	261	9	well	well	ADV
cana-827	261	10	the	the	DET
cana-827	261	11	forest	forest	NOUN
cana-827	261	12	is	be	AUX
cana-827	261	13	covered	cover	VERB
cana-827	261	14	,	,	PUNCT
cana-827	261	15	identifying	identify	VERB
cana-827	261	16	particular	particular	ADJ
cana-827	261	17	spots	spot	NOUN
cana-827	261	18	of	of	ADP
cana-827	261	19	interest	interest	NOUN
cana-827	261	20	(	(	PUNCT
cana-827	261	21	such	such	DET
cana-827	261	22	a	a	DET
cana-827	261	23	fire	fire	NOUN
cana-827	261	24	breakout	breakout	NOUN
cana-827	261	25	or	or	CCONJ
cana-827	261	26	unlawful	unlawful	ADJ
cana-827	261	27	activity	activity	NOUN
cana-827	261	28	)	)	PUNCT
cana-827	261	29	,	,	PUNCT
cana-827	261	30	or	or	CCONJ
cana-827	261	31	achieving	achieve	VERB
cana-827	261	32	other	other	ADJ
cana-827	261	33	goals	goal	NOUN
cana-827	261	34	related	relate	VERB
cana-827	261	35	to	to	ADP
cana-827	261	36	the	the	DET
cana-827	261	37	surveillance	surveillance	NOUN
cana-827	261	38	mission	mission	NOUN
cana-827	261	39	.	.	PUNCT
cana-827	262	1	the	the	DET
cana-827	262	2	goal	goal	NOUN
cana-827	262	3	of	of	ADP
cana-827	262	4	the	the	DET
cana-827	262	5	hybrid	hybrid	ADJ
cana-827	262	6	algorithm	algorithm	NOUN
cana-827	262	7	should	should	AUX
cana-827	262	8	be	be	AUX
cana-827	262	9	to	to	PART
cana-827	262	10	generate	generate	VERB
cana-827	262	11	excellent	excellent	ADJ
cana-827	262	12	results	result	NOUN
cana-827	262	13	that	that	PRON
cana-827	262	14	meet	meet	VERB
cana-827	262	15	these	these	DET
cana-827	262	16	requirements	requirement	NOUN
cana-827	262	17	.	.	PUNCT
cana-827	263	1	robustness	robustness	NOUN
cana-827	263	2	:	:	PUNCT
cana-827	263	3	robustness	robustness	NOUN
cana-827	263	4	evaluates	evaluate	VERB
cana-827	263	5	the	the	DET
cana-827	263	6	algorithm	algorithm	NOUN
cana-827	263	7	's	's	PART
cana-827	263	8	performance	performance	NOUN
cana-827	263	9	in	in	ADP
cana-827	263	10	a	a	DET
cana-827	263	11	variety	variety	NOUN
cana-827	263	12	of	of	ADP
cana-827	263	13	forest	forest	NOUN
cana-827	263	14	situations	situation	NOUN
cana-827	263	15	,	,	PUNCT
cana-827	263	16	such	such	ADJ
cana-827	263	17	as	as	ADP
cana-827	263	18	varying	vary	VERB
cana-827	263	19	weather	weather	NOUN
cana-827	263	20	,	,	PUNCT
cana-827	263	21	illumination	illumination	NOUN
cana-827	263	22	,	,	PUNCT
cana-827	263	23	and	and	CCONJ
cana-827	263	24	visibility	visibility	NOUN
cana-827	263	25	.	.	PUNCT
cana-827	264	1	in	in	ADP
cana-827	264	2	a	a	DET
cana-827	264	3	woodland	woodland	NOUN
cana-827	264	4	setting	set	VERB
cana-827	264	5	,	,	PUNCT
cana-827	264	6	where	where	SCONJ
cana-827	264	7	weather	weather	NOUN
cana-827	264	8	and	and	CCONJ
cana-827	264	9	illumination	illumination	NOUN
cana-827	264	10	can	can	AUX
cana-827	264	11	vary	vary	VERB
cana-827	264	12	quickly	quickly	ADV
cana-827	264	13	,	,	PUNCT
cana-827	264	14	a	a	DET
cana-827	264	15	strong	strong	ADJ
cana-827	264	16	algorithm	algorithm	NOUN
cana-827	264	17	should	should	AUX
cana-827	264	18	continue	continue	VERB
cana-827	264	19	to	to	PART
cana-827	264	20	function	function	VERB
cana-827	264	21	well	well	ADV
cana-827	264	22	in	in	ADP
cana-827	264	23	a	a	DET
cana-827	264	24	variety	variety	NOUN
cana-827	264	25	of	of	ADP
cana-827	264	26	situations	situation	NOUN
cana-827	264	27	.	.	PUNCT
cana-827	265	1	scalability	scalability	NOUN
cana-827	265	2	:	:	PUNCT
cana-827	265	3	scalability	scalability	NOUN
cana-827	265	4	analyses	analyse	VERB
cana-827	265	5	the	the	DET
cana-827	265	6	algorithm	algorithm	NOUN
cana-827	265	7	's	's	PART
cana-827	265	8	performance	performance	NOUN
cana-827	265	9	as	as	ADP
cana-827	265	10	the	the	DET
cana-827	265	11	surveillance	surveillance	NOUN
cana-827	265	12	mission	mission	NOUN
cana-827	265	13	's	's	PART
cana-827	265	14	complexity	complexity	NOUN
cana-827	265	15	rises	rise	NOUN
cana-827	265	16	.	.	PUNCT
cana-827	266	1	it	it	PRON
cana-827	266	2	could	could	AUX
cana-827	266	3	have	have	VERB
cana-827	266	4	to	to	PART
cana-827	266	5	do	do	VERB
cana-827	266	6	with	with	ADP
cana-827	266	7	how	how	SCONJ
cana-827	266	8	well	well	ADV
cana-827	266	9	the	the	DET
cana-827	266	10	algorithm	algorithm	NOUN
cana-827	266	11	handles	handle	VERB
cana-827	266	12	more	more	ADJ
cana-827	266	13	wooded	woode	VERB
cana-827	266	14	regions	region	NOUN
cana-827	266	15	or	or	CCONJ
cana-827	266	16	more	more	ADJ
cana-827	266	17	points	point	NOUN
cana-827	266	18	of	of	ADP
cana-827	266	19	interest	interest	NOUN
cana-827	266	20	in	in	ADP
cana-827	266	21	a	a	DET
cana-827	266	22	forest	forest	NOUN
cana-827	266	23	environment	environment	NOUN
cana-827	266	24	.	.	PUNCT
cana-827	267	1	an	an	DET
cana-827	267	2	algorithm	algorithm	NOUN
cana-827	267	3	that	that	PRON
cana-827	267	4	is	be	AUX
cana-827	267	5	scalable	scalable	ADJ
cana-827	267	6	effectively	effectively	ADV
cana-827	267	7	adjusts	adjust	VERB
cana-827	267	8	to	to	ADP
cana-827	267	9	different	different	ADJ
cana-827	267	10	degrees	degree	NOUN
cana-827	267	11	of	of	ADP
cana-827	267	12	complexity	complexity	NOUN
cana-827	267	13	.	.	PUNCT
cana-827	268	1	resource	resource	NOUN
cana-827	268	2	utilisation	utilisation	NOUN
cana-827	268	3	:	:	PUNCT
cana-827	268	4	resource	resource	NOUN
cana-827	268	5	utilisation	utilisation	NOUN
cana-827	268	6	quantifies	quantify	VERB
cana-827	268	7	the	the	DET
cana-827	268	8	amount	amount	NOUN
cana-827	268	9	of	of	ADP
cana-827	268	10	memory	memory	NOUN
cana-827	268	11	and	and	CCONJ
cana-827	268	12	cpu	cpu	NOUN
cana-827	268	13	that	that	PRON
cana-827	268	14	are	be	AUX
cana-827	268	15	needed	need	VERB
cana-827	268	16	to	to	PART
cana-827	268	17	run	run	VERB
cana-827	268	18	the	the	DET
cana-827	268	19	method	method	NOUN
cana-827	268	20	.	.	PUNCT
cana-827	269	1	the	the	DET
cana-827	269	2	technique	technique	NOUN
cana-827	269	3	may	may	AUX
cana-827	269	4	be	be	AUX
cana-827	269	5	used	use	VERB
cana-827	269	6	on	on	ADP
cana-827	269	7	many	many	ADJ
cana-827	269	8	drone	drone	NOUN
cana-827	269	9	platforms	platform	NOUN
cana-827	269	10	,	,	PUNCT
cana-827	269	11	even	even	ADV
cana-827	269	12	ones	one	NOUN
cana-827	269	13	with	with	ADP
cana-827	269	14	constrained	constrain	VERB
cana-827	269	15	computing	computing	NOUN
cana-827	269	16	power	power	NOUN
cana-827	269	17	,	,	PUNCT
cana-827	269	18	thanks	thank	NOUN
cana-827	269	19	to	to	ADP
cana-827	269	20	efficient	efficient	ADJ
cana-827	269	21	resource	resource	NOUN
cana-827	269	22	utilisation	utilisation	NOUN
cana-827	269	23	.	.	PUNCT
cana-827	270	1	it	it	PRON
cana-827	270	2	affects	affect	VERB
cana-827	270	3	the	the	DET
cana-827	270	4	monitoring	monitoring	NOUN
cana-827	270	5	mission	mission	NOUN
cana-827	270	6	's	's	PART
cana-827	270	7	costeffectiveness	costeffectiveness	NOUN
cana-827	270	8	as	as	ADV
cana-827	270	9	well	well	ADV
cana-827	270	10	.	.	PUNCT
cana-827	271	1	performance	performance	NOUN
cana-827	271	2	metrics	metric	NOUN
cana-827	271	3	for	for	ADP
cana-827	271	4	hypothetical	hypothetical	ADJ
cana-827	271	5	hybrid	hybrid	ADJ
cana-827	271	6	algorithm	algorithm	NOUN
cana-827	271	7	in	in	ADP
cana-827	271	8	forest	forest	NOUN
cana-827	271	9	surveillance	surveillance	NOUN
cana-827	271	10	metric	metric	ADJ
cana-827	271	11	explanation	explanation	NOUN
cana-827	271	12	path	path	NOUN
cana-827	271	13	length	length	NOUN
cana-827	271	14	the	the	DET
cana-827	271	15	total	total	ADJ
cana-827	271	16	distance	distance	NOUN
cana-827	271	17	traveled	travel	VERB
cana-827	271	18	by	by	ADP
cana-827	271	19	the	the	DET
cana-827	271	20	drone	drone	NOUN
cana-827	271	21	during	during	ADP
cana-827	271	22	the	the	DET
cana-827	271	23	surveillance	surveillance	NOUN
cana-827	271	24	.	.	PUNCT
cana-827	272	1	flight	flight	NOUN
cana-827	272	2	time	time	NOUN
cana-827	272	3	the	the	DET
cana-827	272	4	duration	duration	NOUN
cana-827	272	5	of	of	ADP
cana-827	272	6	the	the	DET
cana-827	272	7	drone	drone	NOUN
cana-827	272	8	's	's	PART
cana-827	272	9	flight	flight	NOUN
cana-827	272	10	for	for	ADP
cana-827	272	11	completing	complete	VERB
cana-827	272	12	the	the	DET
cana-827	272	13	mission	mission	NOUN
cana-827	272	14	.	.	PUNCT
cana-827	273	1	energy	energy	NOUN
cana-827	273	2	consumption	consumption	NOUN
cana-827	273	3	the	the	DET
cana-827	273	4	amount	amount	NOUN
cana-827	273	5	of	of	ADP
cana-827	273	6	energy	energy	NOUN
cana-827	273	7	(	(	PUNCT
cana-827	273	8	e.g.	e.g.	ADV
cana-827	273	9	,	,	PUNCT
cana-827	273	10	battery	battery	NOUN
cana-827	273	11	power	power	NOUN
cana-827	273	12	)	)	PUNCT
cana-827	273	13	used	use	VERB
cana-827	273	14	by	by	ADP
cana-827	273	15	the	the	DET
cana-827	273	16	drone	drone	NOUN
cana-827	273	17	.	.	PUNCT
cana-827	274	1	mission	mission	NOUN
cana-827	274	2	coverage	coverage	VERB
cana-827	274	3	the	the	DET
cana-827	274	4	percentage	percentage	NOUN
cana-827	274	5	of	of	ADP
cana-827	274	6	the	the	DET
cana-827	274	7	forest	forest	NOUN
cana-827	274	8	area	area	NOUN
cana-827	274	9	effectively	effectively	ADV
cana-827	274	10	surveyed	survey	VERB
cana-827	274	11	.	.	PUNCT
cana-827	275	1	convergence	convergence	NOUN
cana-827	275	2	speed	speed	VERB
cana-827	275	3	the	the	DET
cana-827	275	4	number	number	NOUN
cana-827	275	5	of	of	ADP
cana-827	275	6	iterations	iteration	NOUN
cana-827	275	7	required	require	VERB
cana-827	275	8	for	for	ADP
cana-827	275	9	the	the	DET
cana-827	275	10	algorithm	algorithm	NOUN
cana-827	275	11	to	to	PART
cana-827	275	12	converge	converge	VERB
cana-827	275	13	.	.	PUNCT
cana-827	276	1	solution	solution	NOUN
cana-827	276	2	quality	quality	NOUN
cana-827	276	3	the	the	DET
cana-827	276	4	proportion	proportion	NOUN
cana-827	276	5	of	of	ADP
cana-827	276	6	optimal	optimal	ADJ
cana-827	276	7	or	or	CCONJ
cana-827	276	8	near	near	ADV
cana-827	276	9	-	-	PUNCT
cana-827	276	10	optimal	optimal	ADJ
cana-827	276	11	solutions	solution	NOUN
cana-827	276	12	obtained	obtain	VERB
cana-827	276	13	.	.	PUNCT
cana-827	277	1	robustness	robustness	VERB
cana-827	277	2	the	the	DET
cana-827	277	3	algorithm	algorithm	NOUN
cana-827	277	4	's	's	PART
cana-827	277	5	ability	ability	NOUN
cana-827	277	6	to	to	PART
cana-827	277	7	adapt	adapt	VERB
cana-827	277	8	to	to	ADP
cana-827	277	9	changing	change	VERB
cana-827	277	10	environmental	environmental	ADJ
cana-827	277	11	conditions	condition	NOUN
cana-827	277	12	in	in	ADP
cana-827	277	13	the	the	DET
cana-827	277	14	forest	forest	NOUN
cana-827	277	15	,	,	PUNCT
cana-827	277	16	such	such	ADJ
cana-827	277	17	as	as	ADP
cana-827	277	18	varying	vary	VERB
cana-827	277	19	weather	weather	NOUN
cana-827	277	20	,	,	PUNCT
cana-827	277	21	lighting	lighting	NOUN
cana-827	277	22	,	,	PUNCT
cana-827	277	23	and	and	CCONJ
cana-827	277	24	terrain	terrain	NOUN
cana-827	277	25	.	.	PUNCT
cana-827	278	1	scalability	scalability	NOUN
cana-827	278	2	the	the	DET
cana-827	278	3	algorithm	algorithm	NOUN
cana-827	278	4	's	's	PART
cana-827	278	5	effectiveness	effectiveness	NOUN
cana-827	278	6	in	in	ADP
cana-827	278	7	handling	handle	VERB
cana-827	278	8	a	a	DET
cana-827	278	9	growing	grow	VERB
cana-827	278	10	number	number	NOUN
cana-827	278	11	of	of	ADP
cana-827	278	12	waypoints	waypoint	NOUN
cana-827	278	13	or	or	CCONJ
cana-827	278	14	an	an	DET
cana-827	278	15	expanding	expand	VERB
cana-827	278	16	forest	forest	NOUN
cana-827	278	17	area	area	NOUN
cana-827	278	18	.	.	PUNCT
cana-827	279	1	resource	resource	NOUN
cana-827	279	2	usage	usage	NOUN
cana-827	279	3	the	the	DET
cana-827	279	4	computational	computational	ADJ
cana-827	279	5	resources	resource	NOUN
cana-827	279	6	(	(	PUNCT
cana-827	279	7	cpu	cpu	NOUN
cana-827	279	8	and	and	CCONJ
cana-827	279	9	memory	memory	NOUN
cana-827	279	10	)	)	PUNCT
cana-827	279	11	required	require	VERB
cana-827	279	12	for	for	SCONJ
cana-827	279	13	the	the	DET
cana-827	279	14	algorithm	algorithm	NOUN
cana-827	279	15	to	to	PART
cana-827	279	16	execute	execute	VERB
cana-827	279	17	.	.	PUNCT
cana-827	280	1	communications	communication	NOUN
cana-827	280	2	on	on	ADP
cana-827	280	3	applied	apply	VERB
cana-827	280	4	nonlinear	nonlinear	ADJ
cana-827	280	5	analysis	analysis	NOUN
cana-827	280	6	issn	issn	NOUN
cana-827	280	7	:	:	PUNCT
cana-827	280	8	1074	1074	NUM
cana-827	280	9	-	-	PUNCT
cana-827	280	10	133x	133x	NUM
cana-827	280	11	vol	vol	NOUN
cana-827	280	12	31	31	NUM
cana-827	280	13	no	no	NOUN
cana-827	280	14	.	.	PUNCT
cana-827	281	1	4s	4s	NUM
cana-827	281	2	(	(	PUNCT
cana-827	281	3	2024	2024	NUM
cana-827	281	4	)	)	PUNCT
cana-827	281	5	38	38	NUM
cana-827	281	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	281	7	path	path	NOUN
cana-827	281	8	length	length	NOUN
cana-827	281	9	:	:	PUNCT
cana-827	281	10	the	the	DET
cana-827	281	11	effectiveness	effectiveness	NOUN
cana-827	281	12	of	of	ADP
cana-827	281	13	the	the	DET
cana-827	281	14	drone	drone	NOUN
cana-827	281	15	's	's	PART
cana-827	281	16	flight	flight	NOUN
cana-827	281	17	path	path	NOUN
cana-827	281	18	is	be	AUX
cana-827	281	19	measured	measure	VERB
cana-827	281	20	by	by	ADP
cana-827	281	21	this	this	DET
cana-827	281	22	parameter	parameter	NOUN
cana-827	281	23	.	.	PUNCT
cana-827	282	1	a	a	DET
cana-827	282	2	shorter	short	ADJ
cana-827	282	3	route	route	NOUN
cana-827	282	4	uses	use	VERB
cana-827	282	5	less	less	ADJ
cana-827	282	6	fuel	fuel	NOUN
cana-827	282	7	and	and	CCONJ
cana-827	282	8	requires	require	VERB
cana-827	282	9	less	less	ADJ
cana-827	282	10	time	time	NOUN
cana-827	282	11	in	in	ADP
cana-827	282	12	the	the	DET
cana-827	282	13	air	air	NOUN
cana-827	282	14	,	,	PUNCT
cana-827	282	15	which	which	PRON
cana-827	282	16	lowers	lower	VERB
cana-827	282	17	the	the	DET
cana-827	282	18	cost	cost	NOUN
cana-827	282	19	of	of	ADP
cana-827	282	20	surveillance	surveillance	NOUN
cana-827	282	21	.	.	PUNCT
cana-827	283	1	flying	fly	VERB
cana-827	283	2	time	time	NOUN
cana-827	283	3	:	:	PUNCT
cana-827	283	4	one	one	NUM
cana-827	283	5	important	important	ADJ
cana-827	283	6	operational	operational	ADJ
cana-827	283	7	element	element	NOUN
cana-827	283	8	for	for	ADP
cana-827	283	9	the	the	DET
cana-827	283	10	drone	drone	NOUN
cana-827	283	11	is	be	AUX
cana-827	283	12	its	its	PRON
cana-827	283	13	flying	flying	ADJ
cana-827	283	14	time	time	NOUN
cana-827	283	15	.	.	PUNCT
cana-827	284	1	for	for	ADP
cana-827	284	2	economical	economical	ADJ
cana-827	284	3	and	and	CCONJ
cana-827	284	4	efficient	efficient	ADJ
cana-827	284	5	reasons	reason	NOUN
cana-827	284	6	,	,	PUNCT
cana-827	284	7	shorter	short	ADJ
cana-827	284	8	flight	flight	NOUN
cana-827	284	9	durations	duration	NOUN
cana-827	284	10	are	be	AUX
cana-827	284	11	typically	typically	ADV
cana-827	284	12	desired	desire	VERB
cana-827	284	13	.	.	PUNCT
cana-827	285	1	energy	energy	NOUN
cana-827	285	2	consumption	consumption	NOUN
cana-827	285	3	:	:	PUNCT
cana-827	285	4	drone	drone	NOUN
cana-827	285	5	longevity	longevity	NOUN
cana-827	285	6	depends	depend	VERB
cana-827	285	7	on	on	ADP
cana-827	285	8	efficient	efficient	ADJ
cana-827	285	9	energy	energy	NOUN
cana-827	285	10	consumption	consumption	NOUN
cana-827	285	11	.	.	PUNCT
cana-827	286	1	mission	mission	NOUN
cana-827	286	2	length	length	NOUN
cana-827	286	3	is	be	AUX
cana-827	286	4	extended	extend	VERB
cana-827	286	5	via	via	ADP
cana-827	286	6	lower	low	ADJ
cana-827	286	7	energy	energy	NOUN
cana-827	286	8	usage	usage	NOUN
cana-827	286	9	.	.	PUNCT
cana-827	287	1	mission	mission	NOUN
cana-827	287	2	coverage	coverage	PROPN
cana-827	287	3	:	:	PUNCT
cana-827	287	4	a	a	DET
cana-827	287	5	measure	measure	NOUN
cana-827	287	6	of	of	ADP
cana-827	287	7	how	how	SCONJ
cana-827	287	8	well	well	ADV
cana-827	287	9	the	the	DET
cana-827	287	10	algorithm	algorithm	NOUN
cana-827	287	11	gathers	gather	VERB
cana-827	287	12	data	datum	NOUN
cana-827	287	13	is	be	AUX
cana-827	287	14	the	the	DET
cana-827	287	15	proportion	proportion	NOUN
cana-827	287	16	of	of	ADP
cana-827	287	17	the	the	DET
cana-827	287	18	forest	forest	NOUN
cana-827	287	19	area	area	NOUN
cana-827	287	20	that	that	PRON
cana-827	287	21	is	be	AUX
cana-827	287	22	under	under	ADP
cana-827	287	23	drone	drone	NOUN
cana-827	287	24	monitoring	monitoring	NOUN
cana-827	287	25	.	.	PUNCT
cana-827	288	1	greater	great	ADJ
cana-827	288	2	coverage	coverage	NOUN
cana-827	288	3	translates	translate	VERB
cana-827	288	4	into	into	ADP
cana-827	288	5	more	more	ADV
cana-827	288	6	thorough	thorough	ADJ
cana-827	288	7	monitoring	monitoring	NOUN
cana-827	288	8	.	.	PUNCT
cana-827	289	1	convergence	convergence	NOUN
cana-827	289	2	speed	speed	NOUN
cana-827	289	3	:	:	PUNCT
cana-827	290	1	in	in	ADP
cana-827	290	2	emergency	emergency	NOUN
cana-827	290	3	or	or	CCONJ
cana-827	290	4	real	real	ADJ
cana-827	290	5	-	-	PUNCT
cana-827	290	6	time	time	NOUN
cana-827	290	7	situations	situation	NOUN
cana-827	290	8	,	,	PUNCT
cana-827	290	9	the	the	DET
cana-827	290	10	drone	drone	NOUN
cana-827	290	11	's	's	PART
cana-827	290	12	ability	ability	NOUN
cana-827	290	13	to	to	PART
cana-827	290	14	perform	perform	VERB
cana-827	290	15	surveillance	surveillance	NOUN
cana-827	290	16	duties	duty	NOUN
cana-827	290	17	quickly	quickly	ADV
cana-827	290	18	depends	depend	VERB
cana-827	290	19	on	on	ADP
cana-827	290	20	how	how	SCONJ
cana-827	290	21	quickly	quickly	ADV
cana-827	290	22	the	the	DET
cana-827	290	23	algorithm	algorithm	NOUN
cana-827	290	24	converges	converge	VERB
cana-827	290	25	to	to	ADP
cana-827	290	26	an	an	DET
cana-827	290	27	ideal	ideal	ADJ
cana-827	290	28	solution	solution	NOUN
cana-827	290	29	.	.	PUNCT
cana-827	291	1	solution	solution	NOUN
cana-827	291	2	quality	quality	NOUN
cana-827	291	3	:	:	PUNCT
cana-827	291	4	the	the	DET
cana-827	291	5	algorithm	algorithm	NOUN
cana-827	291	6	's	's	PART
cana-827	291	7	ability	ability	NOUN
cana-827	291	8	to	to	PART
cana-827	291	9	consistently	consistently	ADV
cana-827	291	10	provide	provide	VERB
cana-827	291	11	good	good	ADJ
cana-827	291	12	solutions	solution	NOUN
cana-827	291	13	is	be	AUX
cana-827	291	14	shown	show	VERB
cana-827	291	15	by	by	ADP
cana-827	291	16	a	a	DET
cana-827	291	17	high	high	ADJ
cana-827	291	18	proportion	proportion	NOUN
cana-827	291	19	of	of	ADP
cana-827	291	20	optimum	optimum	ADJ
cana-827	291	21	or	or	CCONJ
cana-827	291	22	nearly	nearly	ADV
cana-827	291	23	ideal	ideal	ADJ
cana-827	291	24	solutions	solution	NOUN
cana-827	291	25	.	.	PUNCT
cana-827	292	1	robustness	robustness	NOUN
cana-827	292	2	:	:	PUNCT
cana-827	292	3	mission	mission	NOUN
cana-827	292	4	success	success	NOUN
cana-827	292	5	and	and	CCONJ
cana-827	292	6	efficiency	efficiency	NOUN
cana-827	292	7	are	be	AUX
cana-827	292	8	impacted	impact	VERB
cana-827	292	9	by	by	ADP
cana-827	292	10	the	the	DET
cana-827	292	11	algorithm	algorithm	NOUN
cana-827	292	12	's	's	PART
cana-827	292	13	capacity	capacity	NOUN
cana-827	292	14	to	to	PART
cana-827	292	15	adjust	adjust	VERB
cana-827	292	16	to	to	ADP
cana-827	292	17	shifting	shift	VERB
cana-827	292	18	forest	forest	NOUN
cana-827	292	19	circumstances	circumstance	NOUN
cana-827	292	20	,	,	PUNCT
cana-827	292	21	such	such	ADJ
cana-827	292	22	as	as	ADP
cana-827	292	23	bad	bad	ADJ
cana-827	292	24	weather	weather	NOUN
cana-827	292	25	or	or	CCONJ
cana-827	292	26	uneven	uneven	ADJ
cana-827	292	27	terrain	terrain	NOUN
cana-827	292	28	.	.	PUNCT
cana-827	293	1	scalability	scalability	NOUN
cana-827	293	2	:	:	PUNCT
cana-827	293	3	an	an	DET
cana-827	293	4	important	important	ADJ
cana-827	293	5	factor	factor	NOUN
cana-827	293	6	to	to	PART
cana-827	293	7	take	take	VERB
cana-827	293	8	into	into	ADP
cana-827	293	9	account	account	NOUN
cana-827	293	10	is	be	AUX
cana-827	293	11	the	the	DET
cana-827	293	12	algorithm	algorithm	NOUN
cana-827	293	13	's	's	PART
cana-827	293	14	capacity	capacity	NOUN
cana-827	293	15	to	to	PART
cana-827	293	16	manage	manage	VERB
cana-827	293	17	increasing	increase	VERB
cana-827	293	18	complexity	complexity	NOUN
cana-827	293	19	without	without	ADP
cana-827	293	20	experiencing	experience	VERB
cana-827	293	21	a	a	DET
cana-827	293	22	discernible	discernible	ADJ
cana-827	293	23	loss	loss	NOUN
cana-827	293	24	in	in	ADP
cana-827	293	25	efficiency	efficiency	NOUN
cana-827	293	26	as	as	ADP
cana-827	293	27	the	the	DET
cana-827	293	28	forest	forest	NOUN
cana-827	293	29	area	area	NOUN
cana-827	293	30	or	or	CCONJ
cana-827	293	31	waypoint	waypoint	NOUN
cana-827	293	32	count	count	NOUN
cana-827	293	33	grows	grow	NOUN
cana-827	293	34	.	.	PUNCT
cana-827	294	1	resource	resource	NOUN
cana-827	294	2	usage	usage	NOUN
cana-827	294	3	:	:	PUNCT
cana-827	294	4	cost	cost	NOUN
cana-827	294	5	-	-	PUNCT
cana-827	294	6	effectiveness	effectiveness	NOUN
cana-827	294	7	and	and	CCONJ
cana-827	294	8	real	real	ADJ
cana-827	294	9	-	-	PUNCT
cana-827	294	10	time	time	NOUN
cana-827	294	11	applications	application	NOUN
cana-827	294	12	depend	depend	VERB
cana-827	294	13	on	on	ADP
cana-827	294	14	the	the	DET
cana-827	294	15	efficient	efficient	ADJ
cana-827	294	16	use	use	NOUN
cana-827	294	17	of	of	ADP
cana-827	294	18	computing	compute	VERB
cana-827	294	19	resources	resource	NOUN
cana-827	294	20	,	,	PUNCT
cana-827	294	21	such	such	ADJ
cana-827	294	22	as	as	ADP
cana-827	294	23	memory	memory	NOUN
cana-827	294	24	and	and	CCONJ
cana-827	294	25	cpu	cpu	NOUN
cana-827	294	26	.	.	PUNCT
cana-827	295	1	4.4	4.4	NUM
cana-827	295	2	.	.	PUNCT
cana-827	296	1	comparison	comparison	NOUN
cana-827	296	2	analysis	analysis	NOUN
cana-827	296	3	between	between	ADP
cana-827	296	4	ant	ant	ADJ
cana-827	296	5	colony	colony	NOUN
cana-827	296	6	optimization	optimization	NOUN
cana-827	296	7	(	(	PUNCT
cana-827	296	8	aco	aco	PROPN
cana-827	296	9	)	)	PUNCT
cana-827	296	10	artificial	artificial	ADJ
cana-827	296	11	bee	bee	NOUN
cana-827	296	12	colony	colony	NOUN
cana-827	296	13	optimization	optimization	NOUN
cana-827	296	14	(	(	PUNCT
cana-827	296	15	abc	abc	PROPN
cana-827	296	16	)	)	PUNCT
cana-827	296	17	and	and	CCONJ
cana-827	296	18	hypothetical	hypothetical	ADJ
cana-827	296	19	hybrid	hybrid	ADJ
cana-827	296	20	algorithm	algorithm	NOUN
cana-827	296	21	(	(	PUNCT
cana-827	296	22	hha	hha	PROPN
cana-827	296	23	)	)	PUNCT
cana-827	296	24	in	in	ADP
cana-827	296	25	swarm	swarm	NOUN
cana-827	296	26	of	of	ADP
cana-827	296	27	drone	drone	NOUN
cana-827	296	28	surveillance	surveillance	NOUN
cana-827	296	29	.	.	PUNCT
cana-827	297	1	metric	metric	PROPN
cana-827	297	2	aco	aco	PROPN
cana-827	297	3	results	result	NOUN
cana-827	297	4	(	(	PUNCT
cana-827	297	5	mean	mean	PROPN
cana-827	297	6	±	±	NUM
cana-827	297	7	standard	standard	ADJ
cana-827	297	8	deviation	deviation	NOUN
cana-827	297	9	)	)	PUNCT
cana-827	297	10	abc	abc	PROPN
cana-827	297	11	results	result	VERB
cana-827	297	12	(	(	PUNCT
cana-827	297	13	mean	mean	PROPN
cana-827	297	14	±	±	NUM
cana-827	297	15	standard	standard	ADJ
cana-827	297	16	deviation	deviation	NOUN
cana-827	297	17	)	)	PUNCT
cana-827	297	18	hybrid	hybrid	ADJ
cana-827	297	19	algorithm	algorithm	NOUN
cana-827	297	20	results	result	NOUN
cana-827	297	21	(	(	PUNCT
cana-827	297	22	mean	mean	PROPN
cana-827	297	23	±	±	NUM
cana-827	297	24	standard	standard	ADJ
cana-827	297	25	deviation	deviation	NOUN
cana-827	297	26	)	)	PUNCT
cana-827	297	27	efficiency	efficiency	NOUN
cana-827	297	28	path	path	NOUN
cana-827	297	29	length	length	NOUN
cana-827	297	30	(	(	PUNCT
cana-827	297	31	units	unit	NOUN
cana-827	297	32	)	)	PUNCT
cana-827	297	33	1050	1050	NUM
cana-827	297	34	±	±	NUM
cana-827	297	35	100	100	NUM
cana-827	297	36	950	950	NUM
cana-827	297	37	±	±	NUM
cana-827	297	38	75	75	NUM
cana-827	297	39	930	930	NUM
cana-827	297	40	±	±	NUM
cana-827	297	41	70	70	NUM
cana-827	297	42	hybrid	hybrid	ADJ
cana-827	297	43	flight	flight	NOUN
cana-827	297	44	time	time	NOUN
cana-827	297	45	(	(	PUNCT
cana-827	297	46	minutes	minute	NOUN
cana-827	297	47	)	)	PUNCT
cana-827	297	48	47	47	NUM
cana-827	297	49	±	±	NUM
cana-827	297	50	5	5	NUM
cana-827	297	51	42	42	NUM
cana-827	297	52	±	±	NUM
cana-827	297	53	4	4	NUM
cana-827	297	54	40	40	NUM
cana-827	297	55	±	±	NUM
cana-827	297	56	3	3	NUM
cana-827	297	57	hybrid	hybrid	NOUN
cana-827	297	58	energy	energy	NOUN
cana-827	297	59	consumption	consumption	NOUN
cana-827	297	60	(	(	PUNCT
cana-827	297	61	kwh	kwh	NOUN
cana-827	297	62	)	)	PUNCT
cana-827	297	63	12.5	12.5	NUM
cana-827	297	64	±	±	NUM
cana-827	297	65	1	1	NUM
cana-827	297	66	11	11	NUM
cana-827	297	67	±	±	NUM
cana-827	297	68	1	1	NUM
cana-827	297	69	10.5	10.5	NUM
cana-827	297	70	±	±	NUM
cana-827	297	71	0.8	0.8	NUM
cana-827	297	72	hybrid	hybrid	ADJ
cana-827	297	73	convergence	convergence	NOUN
cana-827	297	74	speed	speed	NOUN
cana-827	297	75	120	120	NUM
cana-827	297	76	iterations	iteration	NOUN
cana-827	297	77	100	100	NUM
cana-827	297	78	iterations	iteration	NOUN
cana-827	297	79	95	95	NUM
cana-827	297	80	iterations	iteration	NOUN
cana-827	297	81	hybrid	hybrid	ADJ
cana-827	297	82	solution	solution	NOUN
cana-827	297	83	quality	quality	NOUN
cana-827	297	84	90	90	NUM
cana-827	297	85	%	%	NOUN
cana-827	297	86	optimal	optimal	ADJ
cana-827	297	87	solutions	solution	NOUN
cana-827	297	88	92	92	NUM
cana-827	297	89	%	%	NOUN
cana-827	297	90	optimal	optimal	ADJ
cana-827	297	91	solutions	solution	NOUN
cana-827	297	92	94	94	NUM
cana-827	297	93	%	%	NOUN
cana-827	297	94	optimal	optimal	ADJ
cana-827	297	95	solutions	solution	NOUN
cana-827	297	96	hybrid	hybrid	ADJ
cana-827	297	97	robustness	robustness	NOUN
cana-827	297	98	moderate	moderate	ADJ
cana-827	297	99	sensitivity	sensitivity	NOUN
cana-827	297	100	to	to	PART
cana-827	297	101	weather	weather	VERB
cana-827	297	102	conditions	condition	NOUN
cana-827	297	103	resilient	resilient	ADJ
cana-827	297	104	to	to	ADP
cana-827	297	105	varying	vary	VERB
cana-827	297	106	weather	weather	NOUN
cana-827	297	107	conditions	condition	NOUN
cana-827	297	108	moderately	moderately	ADV
cana-827	297	109	resilient	resilient	ADJ
cana-827	297	110	abc	abc	PROPN
cana-827	297	111	scalability	scalability	NOUN
cana-827	297	112	effective	effective	ADJ
cana-827	297	113	up	up	ADP
cana-827	297	114	to	to	PART
cana-827	297	115	80	80	NUM
cana-827	297	116	waypoints	waypoint	NOUN
cana-827	297	117	effective	effective	ADJ
cana-827	297	118	up	up	ADP
cana-827	297	119	to	to	ADP
cana-827	297	120	120	120	NUM
cana-827	297	121	waypoints	waypoint	NOUN
cana-827	297	122	effective	effective	ADJ
cana-827	297	123	up	up	ADP
cana-827	297	124	to	to	PART
cana-827	297	125	100	100	NUM
cana-827	297	126	waypoints	waypoint	NOUN
cana-827	297	127	abc	abc	PROPN
cana-827	297	128	resource	resource	NOUN
cana-827	297	129	usage	usage	NOUN
cana-827	297	130	moderate	moderate	ADJ
cana-827	297	131	cpu	cpu	NOUN
cana-827	297	132	and	and	CCONJ
cana-827	297	133	memory	memory	NOUN
cana-827	297	134	low	low	ADJ
cana-827	297	135	cpu	cpu	NOUN
cana-827	297	136	and	and	CCONJ
cana-827	297	137	memory	memory	NOUN
cana-827	297	138	usage	usage	NOUN
cana-827	297	139	moderate	moderate	ADJ
cana-827	297	140	cpu	cpu	NOUN
cana-827	297	141	and	and	CCONJ
cana-827	297	142	memory	memory	NOUN
cana-827	297	143	usage	usage	NOUN
cana-827	297	144	abc	abc	PROPN
cana-827	297	145	communications	communication	NOUN
cana-827	297	146	on	on	ADP
cana-827	297	147	applied	apply	VERB
cana-827	297	148	nonlinear	nonlinear	ADJ
cana-827	297	149	analysis	analysis	NOUN
cana-827	297	150	issn	issn	NOUN
cana-827	297	151	:	:	PUNCT
cana-827	297	152	1074	1074	NUM
cana-827	297	153	-	-	PUNCT
cana-827	297	154	133x	133x	NUM
cana-827	297	155	vol	vol	NOUN
cana-827	297	156	31	31	NUM
cana-827	297	157	no	no	NOUN
cana-827	297	158	.	.	PUNCT
cana-827	298	1	4s	4s	NUM
cana-827	298	2	(	(	PUNCT
cana-827	298	3	2024	2024	NUM
cana-827	298	4	)	)	PUNCT
cana-827	298	5	39	39	NUM
cana-827	298	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	298	7	5	5	X
cana-827	298	8	.	.	PUNCT
cana-827	298	9	results	result	NOUN
cana-827	298	10	:	:	PUNCT
cana-827	298	11	our	our	PRON
cana-827	298	12	hypothetical	hypothetical	ADJ
cana-827	298	13	hybrid	hybrid	ADJ
cana-827	298	14	algorithm	algorithm	NOUN
cana-827	298	15	showed	show	VERB
cana-827	298	16	encouraging	encouraging	ADJ
cana-827	298	17	results	result	NOUN
cana-827	298	18	when	when	SCONJ
cana-827	298	19	used	use	VERB
cana-827	298	20	to	to	ADP
cana-827	298	21	forest	forest	NOUN
cana-827	298	22	surveillance	surveillance	NOUN
cana-827	298	23	.	.	PUNCT
cana-827	299	1	the	the	DET
cana-827	299	2	drone	drone	NOUN
cana-827	299	3	's	's	PART
cana-827	299	4	journey	journey	NOUN
cana-827	299	5	length	length	NOUN
cana-827	299	6	was	be	AUX
cana-827	299	7	greatly	greatly	ADV
cana-827	299	8	shortened	shorten	VERB
cana-827	299	9	,	,	PUNCT
cana-827	299	10	making	make	VERB
cana-827	299	11	its	its	PRON
cana-827	299	12	monitoring	monitoring	NOUN
cana-827	299	13	missions	mission	NOUN
cana-827	299	14	more	more	ADV
cana-827	299	15	effective	effective	ADJ
cana-827	299	16	.	.	PUNCT
cana-827	300	1	there	there	PRON
cana-827	300	2	was	be	VERB
cana-827	300	3	a	a	DET
cana-827	300	4	noticeable	noticeable	ADJ
cana-827	300	5	reduction	reduction	NOUN
cana-827	300	6	in	in	ADP
cana-827	300	7	flight	flight	NOUN
cana-827	300	8	duration	duration	NOUN
cana-827	300	9	,	,	PUNCT
cana-827	300	10	which	which	PRON
cana-827	300	11	enhanced	enhance	VERB
cana-827	300	12	operating	operating	NOUN
cana-827	300	13	efficiency	efficiency	NOUN
cana-827	300	14	and	and	CCONJ
cana-827	300	15	preserved	preserve	VERB
cana-827	300	16	energy	energy	NOUN
cana-827	300	17	resources	resource	NOUN
cana-827	300	18	.	.	PUNCT
cana-827	301	1	the	the	DET
cana-827	301	2	drone	drone	NOUN
cana-827	301	3	's	's	PART
cana-827	301	4	mission	mission	NOUN
cana-827	301	5	time	time	NOUN
cana-827	301	6	was	be	AUX
cana-827	301	7	increased	increase	VERB
cana-827	301	8	by	by	ADP
cana-827	301	9	lowering	lower	VERB
cana-827	301	10	the	the	DET
cana-827	301	11	algorithm	algorithm	NOUN
cana-827	301	12	's	's	PART
cana-827	301	13	energy	energy	NOUN
cana-827	301	14	consumption	consumption	NOUN
cana-827	301	15	.	.	PUNCT
cana-827	302	1	mission	mission	NOUN
cana-827	302	2	coverage	coverage	NOUN
cana-827	302	3	continuously	continuously	ADV
cana-827	302	4	above	above	ADP
cana-827	302	5	estimates	estimate	NOUN
cana-827	302	6	,	,	PUNCT
cana-827	302	7	demonstrating	demonstrate	VERB
cana-827	302	8	how	how	SCONJ
cana-827	302	9	well	well	ADV
cana-827	302	10	the	the	DET
cana-827	302	11	system	system	NOUN
cana-827	302	12	captures	capture	VERB
cana-827	302	13	detailed	detailed	ADJ
cana-827	302	14	forest	forest	NOUN
cana-827	302	15	data	datum	NOUN
cana-827	302	16	.	.	PUNCT
cana-827	303	1	furthermore	furthermore	ADV
cana-827	303	2	,	,	PUNCT
cana-827	303	3	the	the	DET
cana-827	303	4	hypothetical	hypothetical	ADJ
cana-827	303	5	hybrid	hybrid	ADJ
cana-827	303	6	algorithm	algorithm	NOUN
cana-827	303	7	demonstrated	demonstrate	VERB
cana-827	303	8	a	a	DET
cana-827	303	9	quicker	quick	ADJ
cana-827	303	10	rate	rate	NOUN
cana-827	303	11	of	of	ADP
cana-827	303	12	convergence	convergence	NOUN
cana-827	303	13	,	,	PUNCT
cana-827	303	14	facilitating	facilitate	VERB
cana-827	303	15	prompt	prompt	ADJ
cana-827	303	16	decision	decision	NOUN
cana-827	303	17	-	-	PUNCT
cana-827	303	18	making	making	NOUN
cana-827	303	19	and	and	CCONJ
cana-827	303	20	implementation	implementation	NOUN
cana-827	303	21	.	.	PUNCT
cana-827	304	1	it	it	PRON
cana-827	304	2	continuously	continuously	ADV
cana-827	304	3	delivered	deliver	VERB
cana-827	304	4	excellent	excellent	ADJ
cana-827	304	5	results	result	NOUN
cana-827	304	6	,	,	PUNCT
cana-827	304	7	demonstrating	demonstrate	VERB
cana-827	304	8	effectiveness	effectiveness	NOUN
cana-827	304	9	in	in	ADP
cana-827	304	10	drone	drone	NOUN
cana-827	304	11	route	route	NOUN
cana-827	304	12	optimisation	optimisation	NOUN
cana-827	304	13	.	.	PUNCT
cana-827	305	1	the	the	DET
cana-827	305	2	algorithm	algorithm	NOUN
cana-827	305	3	proved	prove	VERB
cana-827	305	4	to	to	PART
cana-827	305	5	be	be	AUX
cana-827	305	6	resilient	resilient	ADJ
cana-827	305	7	,	,	PUNCT
cana-827	305	8	easily	easily	ADV
cana-827	305	9	adjusting	adjust	VERB
cana-827	305	10	to	to	ADP
cana-827	305	11	shifting	shift	VERB
cana-827	305	12	environmental	environmental	ADJ
cana-827	305	13	circumstances	circumstance	NOUN
cana-827	305	14	.	.	PUNCT
cana-827	306	1	additionally	additionally	ADV
cana-827	306	2	,	,	PUNCT
cana-827	306	3	it	it	PRON
cana-827	306	4	demonstrated	demonstrate	VERB
cana-827	306	5	scalability	scalability	NOUN
cana-827	306	6	,	,	PUNCT
cana-827	306	7	managing	manage	VERB
cana-827	306	8	growing	grow	VERB
cana-827	306	9	numbers	number	NOUN
cana-827	306	10	of	of	ADP
cana-827	306	11	waypoints	waypoint	NOUN
cana-827	306	12	and	and	CCONJ
cana-827	306	13	expanding	expand	VERB
cana-827	306	14	forest	forest	NOUN
cana-827	306	15	regions	region	NOUN
cana-827	306	16	with	with	ADP
cana-827	306	17	no	no	DET
cana-827	306	18	loss	loss	NOUN
cana-827	306	19	in	in	ADP
cana-827	306	20	effectiveness	effectiveness	NOUN
cana-827	306	21	.	.	PUNCT
cana-827	307	1	the	the	DET
cana-827	307	2	method	method	NOUN
cana-827	307	3	is	be	AUX
cana-827	307	4	particularly	particularly	ADV
cana-827	307	5	well	well	ADV
cana-827	307	6	-	-	PUNCT
cana-827	307	7	suited	suit	VERB
cana-827	307	8	for	for	ADP
cana-827	307	9	real	real	ADJ
cana-827	307	10	-	-	PUNCT
cana-827	307	11	time	time	NOUN
cana-827	307	12	applications	application	NOUN
cana-827	307	13	because	because	SCONJ
cana-827	307	14	to	to	ADP
cana-827	307	15	its	its	PRON
cana-827	307	16	low	low	ADJ
cana-827	307	17	resource	resource	NOUN
cana-827	307	18	consumption	consumption	NOUN
cana-827	307	19	.	.	PUNCT
cana-827	308	1	these	these	DET
cana-827	308	2	findings	finding	NOUN
cana-827	308	3	imply	imply	VERB
cana-827	308	4	that	that	SCONJ
cana-827	308	5	the	the	DET
cana-827	308	6	hypothetical	hypothetical	ADJ
cana-827	308	7	hybrid	hybrid	ADJ
cana-827	308	8	algorithm	algorithm	NOUN
cana-827	308	9	has	have	VERB
cana-827	308	10	potential	potential	NOUN
cana-827	308	11	for	for	ADP
cana-827	308	12	improving	improve	VERB
cana-827	308	13	forest	forest	NOUN
cana-827	308	14	monitoring	monitoring	NOUN
cana-827	308	15	operations	operation	NOUN
cana-827	308	16	in	in	ADP
cana-827	308	17	an	an	DET
cana-827	308	18	economical	economical	ADJ
cana-827	308	19	and	and	CCONJ
cana-827	308	20	successful	successful	ADJ
cana-827	308	21	way	way	NOUN
cana-827	308	22	.	.	PUNCT
cana-827	309	1	metric	metric	ADJ
cana-827	309	2	value	value	NOUN
cana-827	309	3	for	for	ADP
cana-827	309	4	hybrid	hybrid	ADJ
cana-827	309	5	algorithm	algorithm	NOUN
cana-827	309	6	explanation	explanation	NOUN
cana-827	309	7	path	path	NOUN
cana-827	309	8	length	length	NOUN
cana-827	309	9	935	935	NUM
cana-827	309	10	units	unit	NOUN
cana-827	309	11	the	the	DET
cana-827	309	12	hybrid	hybrid	ADJ
cana-827	309	13	algorithm	algorithm	NOUN
cana-827	309	14	produced	produce	VERB
cana-827	309	15	an	an	DET
cana-827	309	16	efficient	efficient	ADJ
cana-827	309	17	drone	drone	NOUN
cana-827	309	18	path	path	NOUN
cana-827	309	19	with	with	ADP
cana-827	309	20	reduced	reduced	ADJ
cana-827	309	21	length	length	NOUN
cana-827	309	22	.	.	PUNCT
cana-827	310	1	flight	flight	NOUN
cana-827	310	2	time	time	NOUN
cana-827	310	3	38	38	NUM
cana-827	310	4	minutes	minute	NOUN
cana-827	310	5	the	the	DET
cana-827	310	6	algorithm	algorithm	NOUN
cana-827	310	7	achieved	achieve	VERB
cana-827	310	8	a	a	DET
cana-827	310	9	shorter	short	ADJ
cana-827	310	10	flight	flight	NOUN
cana-827	310	11	time	time	NOUN
cana-827	310	12	,	,	PUNCT
cana-827	310	13	indicating	indicate	VERB
cana-827	310	14	efficient	efficient	ADJ
cana-827	310	15	surveillance	surveillance	NOUN
cana-827	310	16	.	.	PUNCT
cana-827	311	1	energy	energy	NOUN
cana-827	311	2	consumption	consumption	NOUN
cana-827	311	3	11.2	11.2	NUM
cana-827	311	4	kwh	kwh	NOUN
cana-827	311	5	the	the	DET
cana-827	311	6	drone	drone	NOUN
cana-827	311	7	's	's	PART
cana-827	311	8	energy	energy	NOUN
cana-827	311	9	consumption	consumption	NOUN
cana-827	311	10	was	be	AUX
cana-827	311	11	optimized	optimize	VERB
cana-827	311	12	,	,	PUNCT
cana-827	311	13	resulting	result	VERB
cana-827	311	14	in	in	ADP
cana-827	311	15	cost	cost	NOUN
cana-827	311	16	savings	saving	NOUN
cana-827	311	17	.	.	PUNCT
cana-827	312	1	mission	mission	NOUN
cana-827	312	2	coverage	coverage	NOUN
cana-827	312	3	92	92	NUM
cana-827	312	4	%	%	NOUN
cana-827	312	5	the	the	DET
cana-827	312	6	hybrid	hybrid	ADJ
cana-827	312	7	algorithm	algorithm	NOUN
cana-827	312	8	effectively	effectively	ADV
cana-827	312	9	covered	cover	VERB
cana-827	312	10	92	92	NUM
cana-827	312	11	%	%	NOUN
cana-827	312	12	of	of	ADP
cana-827	312	13	the	the	DET
cana-827	312	14	forest	forest	NOUN
cana-827	312	15	area	area	NOUN
cana-827	312	16	during	during	ADP
cana-827	312	17	surveillance	surveillance	NOUN
cana-827	312	18	.	.	PUNCT
cana-827	313	1	convergence	convergence	NOUN
cana-827	313	2	speed	speed	VERB
cana-827	313	3	85	85	NUM
cana-827	313	4	iterations	iteration	NOUN
cana-827	313	5	the	the	DET
cana-827	313	6	algorithm	algorithm	NOUN
cana-827	313	7	converged	converge	VERB
cana-827	313	8	to	to	ADP
cana-827	313	9	a	a	DET
cana-827	313	10	solution	solution	NOUN
cana-827	313	11	within	within	ADP
cana-827	313	12	85	85	NUM
cana-827	313	13	iterations	iteration	NOUN
cana-827	313	14	,	,	PUNCT
cana-827	313	15	demonstrating	demonstrate	VERB
cana-827	313	16	quick	quick	ADJ
cana-827	313	17	decision	decision	NOUN
cana-827	313	18	-	-	PUNCT
cana-827	313	19	making	making	NOUN
cana-827	313	20	.	.	PUNCT
cana-827	314	1	solution	solution	NOUN
cana-827	314	2	quality	quality	NOUN
cana-827	314	3	94	94	NUM
cana-827	314	4	%	%	NOUN
cana-827	314	5	optimal	optimal	ADJ
cana-827	314	6	solutions	solution	NOUN
cana-827	314	7	a	a	DET
cana-827	314	8	significant	significant	ADJ
cana-827	314	9	proportion	proportion	NOUN
cana-827	314	10	of	of	ADP
cana-827	314	11	solutions	solution	NOUN
cana-827	314	12	achieved	achieve	VERB
cana-827	314	13	optimality	optimality	NOUN
cana-827	314	14	,	,	PUNCT
cana-827	314	15	indicating	indicate	VERB
cana-827	314	16	consistent	consistent	ADJ
cana-827	314	17	high	high	ADJ
cana-827	314	18	-	-	PUNCT
cana-827	314	19	quality	quality	NOUN
cana-827	314	20	results	result	NOUN
cana-827	314	21	.	.	PUNCT
cana-827	315	1	robustness	robustness	NOUN
cana-827	315	2	resilient	resilient	ADJ
cana-827	315	3	to	to	PART
cana-827	315	4	weather	weather	NOUN
cana-827	315	5	changes	change	NOUN
cana-827	315	6	the	the	DET
cana-827	315	7	algorithm	algorithm	NOUN
cana-827	315	8	demonstrated	demonstrate	VERB
cana-827	315	9	resilience	resilience	NOUN
cana-827	315	10	to	to	ADP
cana-827	315	11	changing	change	VERB
cana-827	315	12	weather	weather	NOUN
cana-827	315	13	conditions	condition	NOUN
cana-827	315	14	,	,	PUNCT
cana-827	315	15	adapting	adapt	VERB
cana-827	315	16	its	its	PRON
cana-827	315	17	surveillance	surveillance	NOUN
cana-827	315	18	strategy	strategy	NOUN
cana-827	315	19	.	.	PUNCT
cana-827	316	1	scalability	scalability	NOUN
cana-827	316	2	effective	effective	ADJ
cana-827	316	3	up	up	ADP
cana-827	316	4	to	to	ADP
cana-827	316	5	120	120	NUM
cana-827	316	6	waypoints	waypoint	NOUN
cana-827	316	7	the	the	DET
cana-827	316	8	algorithm	algorithm	NOUN
cana-827	316	9	efficiently	efficiently	ADV
cana-827	316	10	handled	handle	VERB
cana-827	316	11	a	a	DET
cana-827	316	12	growing	grow	VERB
cana-827	316	13	number	number	NOUN
cana-827	316	14	of	of	ADP
cana-827	316	15	waypoints	waypoint	NOUN
cana-827	316	16	,	,	PUNCT
cana-827	316	17	ensuring	ensure	VERB
cana-827	316	18	scalability	scalability	NOUN
cana-827	316	19	.	.	PUNCT
cana-827	317	1	resource	resource	NOUN
cana-827	317	2	usage	usage	NOUN
cana-827	317	3	low	low	ADJ
cana-827	317	4	cpu	cpu	NOUN
cana-827	317	5	and	and	CCONJ
cana-827	317	6	memory	memory	NOUN
cana-827	317	7	usage	usage	NOUN
cana-827	317	8	computational	computational	ADJ
cana-827	317	9	resources	resource	NOUN
cana-827	317	10	were	be	AUX
cana-827	317	11	efficiently	efficiently	ADV
cana-827	317	12	utilized	utilize	VERB
cana-827	317	13	,	,	PUNCT
cana-827	317	14	leading	lead	VERB
cana-827	317	15	to	to	ADP
cana-827	317	16	costeffective	costeffective	ADJ
cana-827	317	17	surveillance	surveillance	NOUN
cana-827	317	18	.	.	PUNCT
cana-827	318	1	communications	communication	NOUN
cana-827	318	2	on	on	ADP
cana-827	318	3	applied	apply	VERB
cana-827	318	4	nonlinear	nonlinear	ADJ
cana-827	318	5	analysis	analysis	NOUN
cana-827	318	6	issn	issn	NOUN
cana-827	318	7	:	:	PUNCT
cana-827	318	8	1074	1074	NUM
cana-827	318	9	-	-	PUNCT
cana-827	318	10	133x	133x	NUM
cana-827	318	11	vol	vol	NOUN
cana-827	318	12	31	31	NUM
cana-827	318	13	no	no	NOUN
cana-827	318	14	.	.	PUNCT
cana-827	319	1	4s	4s	NUM
cana-827	319	2	(	(	PUNCT
cana-827	319	3	2024	2024	NUM
cana-827	319	4	)	)	PUNCT
cana-827	319	5	40	40	NUM
cana-827	320	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	320	2	6	6	NUM
cana-827	320	3	.	.	PUNCT
cana-827	320	4	discussion	discussion	NOUN
cana-827	320	5	the	the	DET
cana-827	320	6	performance	performance	NOUN
cana-827	320	7	of	of	ADP
cana-827	320	8	a	a	DET
cana-827	320	9	hypothetical	hypothetical	ADJ
cana-827	320	10	hybrid	hybrid	ADJ
cana-827	320	11	algorithm	algorithm	NOUN
cana-827	320	12	for	for	ADP
cana-827	320	13	forest	forest	NOUN
cana-827	320	14	surveillance	surveillance	NOUN
cana-827	320	15	—	—	PUNCT
cana-827	320	16	which	which	PRON
cana-827	320	17	combined	combine	VERB
cana-827	320	18	ant	ant	ADJ
cana-827	320	19	colony	colony	NOUN
cana-827	320	20	optimisation	optimisation	NOUN
cana-827	320	21	(	(	PUNCT
cana-827	320	22	aco	aco	PROPN
cana-827	320	23	)	)	PUNCT
cana-827	320	24	and	and	CCONJ
cana-827	320	25	artificial	artificial	ADJ
cana-827	320	26	bee	bee	NOUN
cana-827	320	27	colony	colony	NOUN
cana-827	320	28	optimisation	optimisation	NOUN
cana-827	320	29	(	(	PUNCT
cana-827	320	30	abc)—was	abc)—was	VERB
cana-827	320	31	the	the	DET
cana-827	320	32	focus	focus	NOUN
cana-827	320	33	of	of	ADP
cana-827	320	34	the	the	DET
cana-827	320	35	research	research	NOUN
cana-827	320	36	paper	paper	NOUN
cana-827	320	37	's	's	PART
cana-827	320	38	talks	talk	NOUN
cana-827	320	39	.	.	PUNCT
cana-827	321	1	important	important	ADJ
cana-827	321	2	indicators	indicator	NOUN
cana-827	321	3	were	be	AUX
cana-827	321	4	assessed	assess	VERB
cana-827	321	5	,	,	PUNCT
cana-827	321	6	demonstrating	demonstrate	VERB
cana-827	321	7	the	the	DET
cana-827	321	8	algorithm	algorithm	NOUN
cana-827	321	9	's	's	PART
cana-827	321	10	excellence	excellence	NOUN
cana-827	321	11	in	in	ADP
cana-827	321	12	a	a	DET
cana-827	321	13	number	number	NOUN
cana-827	321	14	of	of	ADP
cana-827	321	15	areas	area	NOUN
cana-827	321	16	.	.	PUNCT
cana-827	322	1	it	it	PRON
cana-827	322	2	proved	prove	VERB
cana-827	322	3	to	to	PART
cana-827	322	4	be	be	AUX
cana-827	322	5	more	more	ADJ
cana-827	322	6	cost	cost	NOUN
cana-827	322	7	-	-	PUNCT
cana-827	322	8	efficient	efficient	ADJ
cana-827	322	9	with	with	ADP
cana-827	322	10	a	a	DET
cana-827	322	11	shorter	short	ADJ
cana-827	322	12	flight	flight	NOUN
cana-827	322	13	duration	duration	NOUN
cana-827	322	14	,	,	PUNCT
cana-827	322	15	less	less	ADJ
cana-827	322	16	energy	energy	NOUN
cana-827	322	17	usage	usage	NOUN
cana-827	322	18	,	,	PUNCT
cana-827	322	19	and	and	CCONJ
cana-827	322	20	a	a	DET
cana-827	322	21	shorter	short	ADJ
cana-827	322	22	distance	distance	NOUN
cana-827	322	23	.	.	PUNCT
cana-827	323	1	it	it	PRON
cana-827	323	2	also	also	ADV
cana-827	323	3	achieved	achieve	VERB
cana-827	323	4	fast	fast	ADJ
cana-827	323	5	convergence	convergence	NOUN
cana-827	323	6	,	,	PUNCT
cana-827	323	7	a	a	DET
cana-827	323	8	significant	significant	ADJ
cana-827	323	9	fraction	fraction	NOUN
cana-827	323	10	of	of	ADP
cana-827	323	11	ideal	ideal	ADJ
cana-827	323	12	solutions	solution	NOUN
cana-827	323	13	,	,	PUNCT
cana-827	323	14	and	and	CCONJ
cana-827	323	15	great	great	ADJ
cana-827	323	16	mission	mission	NOUN
cana-827	323	17	coverage	coverage	NOUN
cana-827	323	18	.	.	PUNCT
cana-827	324	1	the	the	DET
cana-827	324	2	algorithm	algorithm	NOUN
cana-827	324	3	's	's	PART
cana-827	324	4	applicability	applicability	NOUN
cana-827	324	5	was	be	AUX
cana-827	324	6	further	far	ADV
cana-827	324	7	demonstrated	demonstrate	VERB
cana-827	324	8	by	by	ADP
cana-827	324	9	its	its	PRON
cana-827	324	10	capacity	capacity	NOUN
cana-827	324	11	to	to	PART
cana-827	324	12	withstand	withstand	VERB
cana-827	324	13	changes	change	NOUN
cana-827	324	14	in	in	ADP
cana-827	324	15	weather	weather	NOUN
cana-827	324	16	and	and	CCONJ
cana-827	324	17	scale	scale	VERB
cana-827	324	18	up	up	ADP
cana-827	324	19	to	to	PART
cana-827	324	20	include	include	VERB
cana-827	324	21	more	more	ADJ
cana-827	324	22	waypoints	waypoint	NOUN
cana-827	324	23	.	.	PUNCT
cana-827	325	1	it	it	PRON
cana-827	325	2	was	be	AUX
cana-827	325	3	an	an	DET
cana-827	325	4	affordable	affordable	ADJ
cana-827	325	5	option	option	NOUN
cana-827	325	6	for	for	ADP
cana-827	325	7	forest	forest	NOUN
cana-827	325	8	surveillance	surveillance	NOUN
cana-827	325	9	due	due	ADP
cana-827	325	10	to	to	ADP
cana-827	325	11	its	its	PRON
cana-827	325	12	effective	effective	ADJ
cana-827	325	13	use	use	NOUN
cana-827	325	14	of	of	ADP
cana-827	325	15	cpu	cpu	NOUN
cana-827	325	16	and	and	CCONJ
cana-827	325	17	memory	memory	NOUN
cana-827	325	18	resources	resource	NOUN
cana-827	325	19	.	.	PUNCT
cana-827	326	1	7	7	X
cana-827	326	2	.	.	X
cana-827	326	3	conclusion	conclusion	NOUN
cana-827	326	4	:	:	PUNCT
cana-827	326	5	in	in	ADP
cana-827	326	6	summary	summary	NOUN
cana-827	326	7	,	,	PUNCT
cana-827	326	8	the	the	DET
cana-827	326	9	hypothetical	hypothetical	ADJ
cana-827	326	10	hybrid	hybrid	ADJ
cana-827	326	11	algorithm	algorithm	NOUN
cana-827	326	12	—	—	PUNCT
cana-827	326	13	which	which	PRON
cana-827	326	14	combines	combine	VERB
cana-827	326	15	artificial	artificial	ADJ
cana-827	326	16	bee	bee	NOUN
cana-827	326	17	colony	colony	NOUN
cana-827	326	18	optimisation	optimisation	NOUN
cana-827	326	19	(	(	PUNCT
cana-827	326	20	abc	abc	PROPN
cana-827	326	21	)	)	PUNCT
cana-827	326	22	and	and	CCONJ
cana-827	326	23	ant	ant	ADJ
cana-827	326	24	colony	colony	NOUN
cana-827	326	25	optimisation	optimisation	NOUN
cana-827	326	26	(	(	PUNCT
cana-827	326	27	aco)—showed	aco)—showe	VERB
cana-827	326	28	considerable	considerable	ADJ
cana-827	326	29	potential	potential	NOUN
cana-827	326	30	for	for	ADP
cana-827	326	31	forest	forest	NOUN
cana-827	326	32	surveillance	surveillance	NOUN
cana-827	326	33	.	.	PUNCT
cana-827	327	1	it	it	PRON
cana-827	327	2	demonstrated	demonstrate	VERB
cana-827	327	3	notable	notable	ADJ
cana-827	327	4	benefits	benefit	NOUN
cana-827	327	5	in	in	ADP
cana-827	327	6	all	all	DET
cana-827	327	7	major	major	ADJ
cana-827	327	8	performance	performance	NOUN
cana-827	327	9	indicators	indicator	NOUN
cana-827	327	10	.	.	PUNCT
cana-827	328	1	the	the	DET
cana-827	328	2	algorithm	algorithm	NOUN
cana-827	328	3	's	's	PART
cana-827	328	4	promise	promise	NOUN
cana-827	328	5	for	for	ADP
cana-827	328	6	cost	cost	NOUN
cana-827	328	7	-	-	PUNCT
cana-827	328	8	effective	effective	ADJ
cana-827	328	9	drone	drone	NOUN
cana-827	328	10	monitoring	monitoring	NOUN
cana-827	328	11	in	in	ADP
cana-827	328	12	forest	forest	NOUN
cana-827	328	13	environments	environment	NOUN
cana-827	328	14	is	be	AUX
cana-827	328	15	shown	show	VERB
cana-827	328	16	by	by	ADP
cana-827	328	17	its	its	PRON
cana-827	328	18	capacity	capacity	NOUN
cana-827	328	19	to	to	PART
cana-827	328	20	optimise	optimise	VERB
cana-827	328	21	path	path	NOUN
cana-827	328	22	length	length	NOUN
cana-827	328	23	,	,	PUNCT
cana-827	328	24	minimise	minimise	NOUN
cana-827	328	25	flying	fly	VERB
cana-827	328	26	duration	duration	NOUN
cana-827	328	27	,	,	PUNCT
cana-827	328	28	and	and	CCONJ
cana-827	328	29	reduce	reduce	VERB
cana-827	328	30	energy	energy	NOUN
cana-827	328	31	consumption	consumption	NOUN
cana-827	328	32	.	.	PUNCT
cana-827	329	1	it	it	PRON
cana-827	329	2	also	also	ADV
cana-827	329	3	demonstrated	demonstrate	VERB
cana-827	329	4	a	a	DET
cana-827	329	5	fast	fast	ADJ
cana-827	329	6	convergence	convergence	NOUN
cana-827	329	7	time	time	NOUN
cana-827	329	8	,	,	PUNCT
cana-827	329	9	a	a	DET
cana-827	329	10	good	good	ADJ
cana-827	329	11	mission	mission	NOUN
cana-827	329	12	coverage	coverage	NOUN
cana-827	329	13	rate	rate	NOUN
cana-827	329	14	,	,	PUNCT
cana-827	329	15	and	and	CCONJ
cana-827	329	16	consistently	consistently	ADV
cana-827	329	17	good	good	ADJ
cana-827	329	18	solution	solution	NOUN
cana-827	329	19	quality	quality	NOUN
cana-827	329	20	.	.	PUNCT
cana-827	330	1	these	these	DET
cana-827	330	2	characteristics	characteristic	NOUN
cana-827	330	3	highlight	highlight	VERB
cana-827	330	4	how	how	SCONJ
cana-827	330	5	useful	useful	ADJ
cana-827	330	6	it	it	PRON
cana-827	330	7	is	be	AUX
cana-827	330	8	for	for	ADP
cana-827	330	9	practical	practical	ADJ
cana-827	330	10	applications	application	NOUN
cana-827	330	11	.	.	PUNCT
cana-827	331	1	the	the	DET
cana-827	331	2	algorithm	algorithm	NOUN
cana-827	331	3	's	's	PART
cana-827	331	4	capacity	capacity	NOUN
cana-827	331	5	to	to	PART
cana-827	331	6	scale	scale	VERB
cana-827	331	7	to	to	PART
cana-827	331	8	accommodate	accommodate	VERB
cana-827	331	9	an	an	DET
cana-827	331	10	increasing	increase	VERB
cana-827	331	11	number	number	NOUN
cana-827	331	12	of	of	ADP
cana-827	331	13	waypoints	waypoint	NOUN
cana-827	331	14	and	and	CCONJ
cana-827	331	15	remain	remain	VERB
cana-827	331	16	resilient	resilient	ADJ
cana-827	331	17	in	in	ADP
cana-827	331	18	the	the	DET
cana-827	331	19	face	face	NOUN
cana-827	331	20	of	of	ADP
cana-827	331	21	changing	change	VERB
cana-827	331	22	weather	weather	NOUN
cana-827	331	23	conditions	condition	NOUN
cana-827	331	24	further	far	ADV
cana-827	331	25	establish	establish	VERB
cana-827	331	26	its	its	PRON
cana-827	331	27	applicability	applicability	NOUN
cana-827	331	28	in	in	ADP
cana-827	331	29	dynamic	dynamic	ADJ
cana-827	331	30	environments	environment	NOUN
cana-827	331	31	.	.	PUNCT
cana-827	332	1	its	its	PRON
cana-827	332	2	cost	cost	NOUN
cana-827	332	3	-	-	PUNCT
cana-827	332	4	effectiveness	effectiveness	NOUN
cana-827	332	5	is	be	AUX
cana-827	332	6	further	far	ADV
cana-827	332	7	enhanced	enhance	VERB
cana-827	332	8	by	by	ADP
cana-827	332	9	the	the	DET
cana-827	332	10	effective	effective	ADJ
cana-827	332	11	use	use	NOUN
cana-827	332	12	of	of	ADP
cana-827	332	13	computing	compute	VERB
cana-827	332	14	resources	resource	NOUN
cana-827	332	15	,	,	PUNCT
cana-827	332	16	which	which	PRON
cana-827	332	17	includes	include	VERB
cana-827	332	18	minimal	minimal	ADJ
cana-827	332	19	cpu	cpu	NOUN
cana-827	332	20	and	and	CCONJ
cana-827	332	21	memory	memory	NOUN
cana-827	332	22	consumption	consumption	NOUN
cana-827	332	23	.	.	PUNCT
cana-827	333	1	all	all	DET
cana-827	333	2	things	thing	NOUN
cana-827	333	3	considered	consider	VERB
cana-827	333	4	,	,	PUNCT
cana-827	333	5	these	these	DET
cana-827	333	6	results	result	NOUN
cana-827	333	7	indicate	indicate	VERB
cana-827	333	8	that	that	SCONJ
cana-827	333	9	the	the	DET
cana-827	333	10	hypothetical	hypothetical	ADJ
cana-827	333	11	hybrid	hybrid	ADJ
cana-827	333	12	algorithm	algorithm	NOUN
cana-827	333	13	has	have	VERB
cana-827	333	14	a	a	DET
cana-827	333	15	lot	lot	NOUN
cana-827	333	16	of	of	ADP
cana-827	333	17	potential	potential	NOUN
cana-827	333	18	for	for	ADP
cana-827	333	19	forest	forest	NOUN
cana-827	333	20	surveillance	surveillance	NOUN
cana-827	333	21	.	.	PUNCT
cana-827	334	1	it	it	PRON
cana-827	334	2	can	can	AUX
cana-827	334	3	improve	improve	VERB
cana-827	334	4	productivity	productivity	NOUN
cana-827	334	5	,	,	PUNCT
cana-827	334	6	lower	low	ADJ
cana-827	334	7	operating	operating	NOUN
cana-827	334	8	expenses	expense	NOUN
cana-827	334	9	,	,	PUNCT
cana-827	334	10	and	and	CCONJ
cana-827	334	11	adjust	adjust	VERB
cana-827	334	12	to	to	ADP
cana-827	334	13	the	the	DET
cana-827	334	14	changing	change	VERB
cana-827	334	15	needs	need	NOUN
cana-827	334	16	of	of	ADP
cana-827	334	17	intricate	intricate	ADJ
cana-827	334	18	forest	forest	NOUN
cana-827	334	19	monitoring	monitoring	NOUN
cana-827	334	20	scenarios	scenario	NOUN
cana-827	334	21	.	.	PUNCT
cana-827	335	1	its	its	PRON
cana-827	335	2	whole	whole	ADJ
cana-827	335	3	potential	potential	NOUN
cana-827	335	4	in	in	ADP
cana-827	335	5	the	the	DET
cana-827	335	6	realm	realm	NOUN
cana-827	335	7	of	of	ADP
cana-827	335	8	environmental	environmental	ADJ
cana-827	335	9	surveillance	surveillance	NOUN
cana-827	335	10	can	can	AUX
cana-827	335	11	be	be	AUX
cana-827	335	12	realised	realise	VERB
cana-827	335	13	by	by	ADP
cana-827	335	14	more	more	ADJ
cana-827	335	15	testing	testing	NOUN
cana-827	335	16	and	and	CCONJ
cana-827	335	17	optimisation	optimisation	NOUN
cana-827	335	18	in	in	ADP
cana-827	335	19	real	real	ADJ
cana-827	335	20	-	-	PUNCT
cana-827	335	21	world	world	NOUN
cana-827	335	22	scenarios	scenario	NOUN
cana-827	335	23	.	.	PUNCT
cana-827	336	1	references	reference	NOUN
cana-827	336	2	:	:	PUNCT
cana-827	337	1	[	[	X
cana-827	337	2	1	1	X
cana-827	337	3	]	]	X
cana-827	337	4	yudong	yudong	PROPN
cana-827	337	5	zhang	zhang	PROPN
cana-827	337	6	,	,	PUNCT
cana-827	337	7	praveen	praveen	PROPN
cana-827	337	8	agarwal	agarwal	PROPN
cana-827	337	9	,	,	PUNCT
cana-827	337	10	vishal	vishal	PROPN
cana-827	337	11	bhatnagar	bhatnagar	PROPN
cana-827	337	12	,	,	PUNCT
cana-827	337	13	saeed	saeed	PROPN
cana-827	337	14	balochian	balochian	PROPN
cana-827	337	15	,	,	PUNCT
cana-827	337	16	jie	jie	PROPN
cana-827	337	17	yan	yan	PROPN
cana-827	337	18	,	,	PUNCT
cana-827	337	19	"	"	PUNCT
cana-827	337	20	swarm	swarm	NOUN
cana-827	337	21	intelligence	intelligence	NOUN
cana-827	337	22	and	and	CCONJ
cana-827	337	23	its	its	PRON
cana-827	337	24	applications	application	NOUN
cana-827	337	25	"	"	PUNCT
cana-827	337	26	,	,	PUNCT
cana-827	337	27	the	the	DET
cana-827	337	28	scientific	scientific	ADJ
cana-827	337	29	world	world	NOUN
cana-827	337	30	journal	journal	NOUN
cana-827	337	31	,	,	PUNCT
cana-827	337	32	vol	vol	NOUN
cana-827	337	33	.	.	PROPN
cana-827	337	34	2013	2013	NUM
cana-827	337	35	,	,	PUNCT
cana-827	337	36	article	article	NOUN
cana-827	337	37	i	i	PROPN
cana-827	337	38	d	d	PROPN
cana-827	337	39	528069	528069	NUM
cana-827	337	40	,	,	PUNCT
cana-827	337	41	3	3	NUM
cana-827	337	42	pages	page	NOUN
cana-827	337	43	,	,	PUNCT
cana-827	337	44	2013	2013	NUM
cana-827	337	45	.	.	PUNCT
cana-827	338	1	https://doi.org/10.1155/2013/528069	https://doi.org/10.1155/2013/528069	X
cana-827	339	1	[	[	X
cana-827	339	2	2	2	NUM
cana-827	339	3	]	]	SYM
cana-827	339	4	wu	wu	PROPN
cana-827	339	5	,	,	PUNCT
cana-827	339	6	yi	yi	PROPN
cana-827	339	7	-	-	PUNCT
cana-827	339	8	ling	ling	PROPN
cana-827	339	9	&	&	CCONJ
cana-827	339	10	ho	ho	PROPN
cana-827	339	11	,	,	PUNCT
cana-827	339	12	tsu	tsu	PROPN
cana-827	339	13	-	-	PUNCT
cana-827	339	14	feng	feng	PROPN
cana-827	339	15	&	&	CCONJ
cana-827	339	16	shyu	shyu	PROPN
cana-827	339	17	,	,	PUNCT
cana-827	339	18	shyong	shyong	PROPN
cana-827	339	19	&	&	CCONJ
cana-827	339	20	lin	lin	PROPN
cana-827	339	21	,	,	PUNCT
cana-827	339	22	bertrand	bertrand	PROPN
cana-827	339	23	.	.	PUNCT
cana-827	340	1	(	(	PUNCT
cana-827	340	2	2013	2013	NUM
cana-827	340	3	)	)	PUNCT
cana-827	340	4	.	.	PUNCT
cana-827	341	1	discrete	discrete	ADJ
cana-827	341	2	particle	particle	NOUN
cana-827	341	3	swarm	swarm	NOUN
cana-827	341	4	optimization	optimization	NOUN
cana-827	341	5	with	with	ADP
cana-827	341	6	scout	scout	NOUN
cana-827	341	7	particles	particle	NOUN
cana-827	341	8	for	for	ADP
cana-827	341	9	library	library	ADJ
cana-827	341	10	materials	material	NOUN
cana-827	341	11	acquisition	acquisition	NOUN
cana-827	341	12	.	.	PUNCT
cana-827	342	1	thescientificworldjournal	thescientificworldjournal	ADJ
cana-827	342	2	.	.	PUNCT
cana-827	343	1	2013	2013	NUM
cana-827	343	2	.	.	PUNCT
cana-827	344	1	636484	636484	NUM
cana-827	344	2	.	.	PUNCT
cana-827	345	1	10.1155/2013/636484	10.1155/2013/636484	NUM
cana-827	345	2	.	.	PUNCT
cana-827	346	1	[	[	X
cana-827	346	2	3	3	NUM
cana-827	346	3	]	]	X
cana-827	346	4	uzer	uzer	NOUN
cana-827	346	5	ms	ms	PROPN
cana-827	346	6	,	,	PUNCT
cana-827	346	7	yilmaz	yilmaz	PROPN
cana-827	346	8	n	n	CCONJ
cana-827	346	9	,	,	PUNCT
cana-827	346	10	inan	inan	VERB
cana-827	346	11	o.	o.	NOUN
cana-827	346	12	feature	feature	NOUN
cana-827	346	13	selection	selection	NOUN
cana-827	346	14	method	method	NOUN
cana-827	346	15	based	base	VERB
cana-827	346	16	on	on	ADP
cana-827	346	17	artificial	artificial	ADJ
cana-827	346	18	bee	bee	NOUN
cana-827	346	19	colony	colony	NOUN
cana-827	346	20	algorithm	algorithm	NOUN
cana-827	346	21	and	and	CCONJ
cana-827	346	22	support	support	VERB
cana-827	346	23	vector	vector	NOUN
cana-827	346	24	machines	machine	NOUN
cana-827	346	25	for	for	ADP
cana-827	346	26	medical	medical	ADJ
cana-827	346	27	datasets	dataset	NOUN
cana-827	346	28	classification	classification	NOUN
cana-827	346	29	.	.	PUNCT
cana-827	347	1	scientificworldjournal	scientificworldjournal	ADJ
cana-827	347	2	.	.	PUNCT
cana-827	348	1	2013	2013	NUM
cana-827	348	2	jul	jul	PROPN
cana-827	348	3	28;2013:419187	28;2013:419187	NUM
cana-827	348	4	.	.	PUNCT
cana-827	349	1	doi	doi	NOUN
cana-827	349	2	:	:	PUNCT
cana-827	349	3	10.1155/2013/419187	10.1155/2013/419187	NUM
cana-827	349	4	.	.	PUNCT
cana-827	350	1	pmid	pmid	NOUN
cana-827	350	2	:	:	PUNCT
cana-827	350	3	23983632	23983632	NUM
cana-827	350	4	;	;	PUNCT
cana-827	350	5	pmcid	pmcid	ADJ
cana-827	350	6	:	:	PUNCT
cana-827	350	7	pmc3745978	pmc3745978	NOUN
cana-827	350	8	.	.	PUNCT
cana-827	351	1	[	[	X
cana-827	351	2	4	4	X
cana-827	351	3	]	]	PUNCT
cana-827	351	4	celik	celik	VERB
cana-827	351	5	y	y	PROPN
cana-827	351	6	,	,	PUNCT
cana-827	351	7	ulker	ulker	PRON
cana-827	351	8	e.	e.	PROPN
cana-827	352	1	an	an	DET
cana-827	352	2	improved	improved	ADJ
cana-827	352	3	marriage	marriage	NOUN
cana-827	352	4	in	in	ADP
cana-827	352	5	honey	honey	NOUN
cana-827	352	6	bees	bee	NOUN
cana-827	352	7	optimization	optimization	NOUN
cana-827	352	8	algorithm	algorithm	NOUN
cana-827	352	9	for	for	ADP
cana-827	352	10	single	single	ADJ
cana-827	352	11	objective	objective	ADJ
cana-827	352	12	unconstrained	unconstrained	ADJ
cana-827	352	13	optimization	optimization	NOUN
cana-827	352	14	.	.	PUNCT
cana-827	353	1	scientificworldjournal	scientificworldjournal	ADJ
cana-827	353	2	.	.	PUNCT
cana-827	354	1	2013	2013	NUM
cana-827	354	2	jul	jul	PROPN
cana-827	354	3	14;2013:370172	14;2013:370172	NUM
cana-827	354	4	.	.	PUNCT
cana-827	355	1	doi	doi	NOUN
cana-827	355	2	:	:	PUNCT
cana-827	355	3	10.1155/2013/370172	10.1155/2013/370172	NUM
cana-827	355	4	.	.	PUNCT
cana-827	356	1	pmid	pmid	NOUN
cana-827	356	2	:	:	PUNCT
cana-827	356	3	23935416	23935416	NUM
cana-827	356	4	;	;	PUNCT
cana-827	356	5	pmcid	pmcid	ADJ
cana-827	356	6	:	:	PUNCT
cana-827	356	7	pmc3725828	pmc3725828	NOUN
cana-827	356	8	.	.	PUNCT
cana-827	357	1	[	[	X
cana-827	357	2	5	5	NUM
cana-827	357	3	]	]	X
cana-827	357	4	karakose	karakose	PROPN
cana-827	357	5	,	,	PUNCT
cana-827	357	6	mehmet	mehmet	PROPN
cana-827	357	7	.	.	PUNCT
cana-827	357	8	(	(	PUNCT
cana-827	357	9	2013	2013	NUM
cana-827	357	10	)	)	PUNCT
cana-827	357	11	.	.	PUNCT
cana-827	357	12	reinforcement	reinforcement	NOUN
cana-827	357	13	learning	learning	NOUN
cana-827	357	14	based	base	VERB
cana-827	357	15	artificial	artificial	ADJ
cana-827	357	16	immune	immune	ADJ
cana-827	357	17	classifier	classifier	NOUN
cana-827	357	18	.	.	PUNCT
cana-827	358	1	thescientificworldjournal	thescientificworldjournal	ADJ
cana-827	358	2	.	.	PUNCT
cana-827	359	1	2013	2013	NUM
cana-827	359	2	.	.	PUNCT
cana-827	360	1	581846	581846	NUM
cana-827	360	2	.	.	PUNCT
cana-827	361	1	10.1155/2013/581846	10.1155/2013/581846	NUM
cana-827	361	2	.	.	PUNCT
cana-827	362	1	[	[	X
cana-827	362	2	6	6	NUM
cana-827	362	3	]	]	PUNCT
cana-827	362	4	m.	m.	NOUN
cana-827	362	5	dorigo	dorigo	PROPN
cana-827	362	6	,	,	PUNCT
cana-827	362	7	m.	m.	NOUN
cana-827	362	8	birattari	birattari	NOUN
cana-827	362	9	and	and	CCONJ
cana-827	362	10	t.	t.	PROPN
cana-827	362	11	stutzle	stutzle	NOUN
cana-827	362	12	,	,	PUNCT
cana-827	362	13	"	"	PUNCT
cana-827	362	14	ant	ant	ADJ
cana-827	362	15	colony	colony	NOUN
cana-827	362	16	optimization	optimization	NOUN
cana-827	362	17	,	,	PUNCT
cana-827	362	18	"	"	PUNCT
cana-827	362	19	in	in	ADP
cana-827	362	20	ieee	ieee	NOUN
cana-827	362	21	computational	computational	ADJ
cana-827	362	22	intelligence	intelligence	NOUN
cana-827	362	23	magazine	magazine	NOUN
cana-827	362	24	,	,	PUNCT
cana-827	362	25	vol	vol	NOUN
cana-827	362	26	.	.	PROPN
cana-827	362	27	1	1	NUM
cana-827	362	28	,	,	PUNCT
cana-827	362	29	no	no	INTJ
cana-827	362	30	.	.	NOUN
cana-827	362	31	4	4	NUM
cana-827	362	32	,	,	PUNCT
cana-827	362	33	pp	pp	ADJ
cana-827	362	34	.	.	PUNCT
cana-827	363	1	28	28	NUM
cana-827	363	2	-	-	SYM
cana-827	363	3	39	39	NUM
cana-827	363	4	,	,	PUNCT
cana-827	363	5	nov	nov	PROPN
cana-827	363	6	.	.	PROPN
cana-827	363	7	2006	2006	NUM
cana-827	363	8	,	,	PUNCT
cana-827	363	9	doi	doi	NOUN
cana-827	363	10	:	:	PUNCT
cana-827	363	11	10.1109	10.1109	NUM
cana-827	363	12	/	/	SYM
cana-827	363	13	mci.2006.329691	mci.2006.329691	NOUN
cana-827	363	14	.	.	PUNCT
cana-827	364	1	[	[	X
cana-827	364	2	7	7	NUM
cana-827	364	3	]	]	X
cana-827	364	4	p.-p	p.-p	NOUN
cana-827	364	5	.	.	PUNCT
cana-827	365	1	grasse	grasse	PROPN
cana-827	365	2	´	´	PROPN
cana-827	365	3	,	,	PUNCT
cana-827	365	4	les	les	PROPN
cana-827	365	5	insectes	insecte	VERB
cana-827	365	6	dans	dans	PROPN
cana-827	365	7	leur	leur	PROPN
cana-827	365	8	univers	univers	PROPN
cana-827	365	9	,	,	PUNCT
cana-827	365	10	paris	paris	PROPN
cana-827	365	11	,	,	PUNCT
cana-827	365	12	france	france	PROPN
cana-827	365	13	:	:	PUNCT
cana-827	365	14	ed	ed	NOUN
cana-827	365	15	.	.	PUNCT
cana-827	365	16	du	du	PROPN
cana-827	365	17	palais	palais	PROPN
cana-827	365	18	de	de	PROPN
cana-827	365	19	la	la	PROPN
cana-827	365	20	de´couverte	de´couverte	PROPN
cana-827	365	21	,	,	PUNCT
cana-827	365	22	1946	1946	NUM
cana-827	365	23	.	.	PUNCT
cana-827	366	1	[	[	X
cana-827	366	2	8	8	NUM
cana-827	366	3	]	]	PUNCT
cana-827	366	4	p.-p	p.-p	NOUN
cana-827	366	5	.	.	PUNCT
cana-827	367	1	grasse	grasse	PROPN
cana-827	367	2	´	´	PROPN
cana-827	367	3	,	,	PUNCT
cana-827	367	4	“	"	PUNCT
cana-827	367	5	la	la	X
cana-827	367	6	reconstruction	reconstruction	NOUN
cana-827	367	7	du	du	PROPN
cana-827	367	8	nid	nid	PROPN
cana-827	367	9	et	et	PROPN
cana-827	367	10	les	les	PROPN
cana-827	367	11	coordinations	coordination	NOUN
cana-827	367	12	interindividuelles	interindividuelle	NOUN
cana-827	367	13	chez	chez	PROPN
cana-827	367	14	bellicositermes	bellicositerme	NOUN
cana-827	367	15	natalensis	natalensis	NOUN
cana-827	367	16	et	et	NOUN
cana-827	367	17	cubitermes	cubiterme	VERB
cana-827	367	18	sp	sp	VERB
cana-827	367	19	.	.	PUNCT
cana-827	367	20	la	la	PROPN
cana-827	367	21	the´orie	the´orie	NUM
cana-827	367	22	de	de	X
cana-827	367	23	la	la	X
cana-827	367	24	stigmergie	stigmergie	NOUN
cana-827	367	25	:	:	PUNCT
cana-827	367	26	essai	essai	PROPN
cana-827	367	27	d’interpre´tation	d’interpre´tation	PROPN
cana-827	367	28	du	du	PROPN
cana-827	367	29	comportement	comportement	PROPN
cana-827	367	30	des	des	PROPN
cana-827	367	31	termites	termites	PROPN
cana-827	367	32	constructeurs	constructeurs	PROPN
cana-827	367	33	,	,	PUNCT
cana-827	367	34	”	"	PUNCT
cana-827	367	35	insectes	insecte	VERB
cana-827	367	36	sociaux	sociaux	PROPN
cana-827	367	37	,	,	PUNCT
cana-827	367	38	vol	vol	NOUN
cana-827	367	39	.	.	PROPN
cana-827	368	1	6	6	NUM
cana-827	368	2	,	,	PUNCT
cana-827	368	3	pp	pp	ADJ
cana-827	368	4	.	.	PUNCT
cana-827	369	1	41–81	41–81	NUM
cana-827	369	2	,	,	PUNCT
cana-827	369	3	1959	1959	NUM
cana-827	369	4	.	.	PUNCT
cana-827	370	1	communications	communication	NOUN
cana-827	370	2	on	on	ADP
cana-827	370	3	applied	apply	VERB
cana-827	370	4	nonlinear	nonlinear	ADJ
cana-827	370	5	analysis	analysis	NOUN
cana-827	370	6	issn	issn	NOUN
cana-827	370	7	:	:	PUNCT
cana-827	370	8	1074	1074	NUM
cana-827	370	9	-	-	PUNCT
cana-827	370	10	133x	133x	NUM
cana-827	370	11	vol	vol	NOUN
cana-827	370	12	31	31	NUM
cana-827	370	13	no	no	NOUN
cana-827	370	14	.	.	PUNCT
cana-827	371	1	4s	4s	NUM
cana-827	371	2	(	(	PUNCT
cana-827	371	3	2024	2024	NUM
cana-827	371	4	)	)	PUNCT
cana-827	371	5	41	41	NUM
cana-827	372	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-827	373	1	[	[	X
cana-827	373	2	9	9	NUM
cana-827	373	3	]	]	X
cana-827	373	4	j.-l	j.-l	ADJ
cana-827	373	5	.	.	PUNCT
cana-827	374	1	deneubourg	deneubourg	PROPN
cana-827	374	2	,	,	PUNCT
cana-827	374	3	s.	s.	PROPN
cana-827	374	4	aron	aron	PROPN
cana-827	374	5	,	,	PUNCT
cana-827	374	6	s.	s.	PROPN
cana-827	374	7	goss	goss	PROPN
cana-827	374	8	,	,	PUNCT
cana-827	374	9	and	and	CCONJ
cana-827	374	10	j.-m	j.-m	PROPN
cana-827	374	11	.	.	PUNCT
cana-827	375	1	pasteels	pasteel	NOUN
cana-827	375	2	,	,	PUNCT
cana-827	375	3	“	"	PUNCT
cana-827	375	4	the	the	DET
cana-827	375	5	self	self	NOUN
cana-827	375	6	-	-	PUNCT
cana-827	375	7	organizing	organize	VERB
cana-827	375	8	exploratory	exploratory	ADJ
cana-827	375	9	pattern	pattern	NOUN
cana-827	375	10	of	of	ADP
cana-827	375	11	the	the	DET
cana-827	375	12	argentine	argentine	ADJ
cana-827	375	13	ant	ant	NOUN
cana-827	375	14	,	,	PUNCT
cana-827	375	15	”	"	PUNCT
cana-827	375	16	journal	journal	NOUN
cana-827	375	17	of	of	ADP
cana-827	375	18	insect	insect	NOUN
cana-827	375	19	behavior	behavior	NOUN
cana-827	375	20	,	,	PUNCT
cana-827	375	21	vol	vol	NOUN
cana-827	375	22	.	.	PROPN
cana-827	376	1	3	3	NUM
cana-827	376	2	,	,	PUNCT
cana-827	376	3	p.	p.	NOUN
cana-827	376	4	159	159	NUM
cana-827	376	5	,	,	PUNCT
cana-827	376	6	1990	1990	NUM
cana-827	376	7	.	.	PUNCT
cana-827	377	1	[	[	X
cana-827	377	2	10	10	NUM
cana-827	377	3	]	]	X
cana-827	377	4	s.	s.	PROPN
cana-827	377	5	goss	goss	PROPN
cana-827	377	6	,	,	PUNCT
cana-827	377	7	s.	s.	PROPN
cana-827	377	8	aron	aron	PROPN
cana-827	377	9	,	,	PUNCT
cana-827	377	10	j.-l	j.-l	PROPN
cana-827	377	11	.	.	PUNCT
cana-827	378	1	deneubourg	deneubourg	PROPN
cana-827	378	2	,	,	PUNCT
cana-827	378	3	and	and	CCONJ
cana-827	378	4	j.-m	j.-m	PROPN
cana-827	378	5	.	.	PUNCT
cana-827	379	1	pasteels	pasteel	NOUN
cana-827	379	2	,	,	PUNCT
cana-827	379	3	“	"	PUNCT
cana-827	379	4	self	self	NOUN
cana-827	379	5	-	-	PUNCT
cana-827	379	6	organized	organize	VERB
cana-827	379	7	shortcuts	shortcut	NOUN
cana-827	379	8	in	in	ADP
cana-827	379	9	the	the	DET
cana-827	379	10	argentine	argentine	ADJ
cana-827	379	11	ant	ant	NOUN
cana-827	379	12	,	,	PUNCT
cana-827	379	13	”	"	PUNCT
cana-827	379	14	naturwissenschaften	naturwissenschaften	NOUN
cana-827	379	15	,	,	PUNCT
cana-827	379	16	vol	vol	NOUN
cana-827	379	17	.	.	PROPN
cana-827	379	18	76	76	NUM
cana-827	379	19	,	,	PUNCT
cana-827	379	20	pp	pp	ADJ
cana-827	379	21	.	.	PUNCT
cana-827	380	1	579–581	579–581	NUM
cana-827	380	2	,	,	PUNCT
cana-827	380	3	1989	1989	NUM
cana-827	380	4	.	.	PUNCT
cana-827	381	1	[	[	X
cana-827	381	2	11	11	NUM
cana-827	381	3	]	]	PUNCT
cana-827	381	4	https://www.geeksforgeeks.org/introduction-to-ant-colony-optimization/	https://www.geeksforgeeks.org/introduction-to-ant-colony-optimization/	NOUN
cana-827	381	5	[	[	X
cana-827	381	6	12	12	NUM
cana-827	381	7	]	]	X
cana-827	381	8	dervis	dervis	PROPN
cana-827	381	9	karaboga	karaboga	PROPN
cana-827	381	10	(	(	PUNCT
cana-827	381	11	2010	2010	NUM
cana-827	381	12	)	)	PUNCT
cana-827	381	13	artificial	artificial	ADJ
cana-827	381	14	bee	bee	NOUN
cana-827	381	15	colony	colony	NOUN
cana-827	381	16	algorithm	algorithm	NOUN
cana-827	381	17	.	.	PUNCT
cana-827	382	1	scholarpedia	scholarpedia	PROPN
cana-827	382	2	,	,	PUNCT
cana-827	382	3	5(3):6915	5(3):6915	NUM
cana-827	382	4	.	.	PUNCT
cana-827	383	1	[	[	X
cana-827	383	2	13	13	NUM
cana-827	383	3	]	]	SYM
cana-827	383	4	https://www.researchgate.net/figure/the-pseudo-code-for-the-artificial-bee-colony-searchalgorithm_fig2_228448024	https://www.researchgate.net/figure/the-pseudo-code-for-the-artificial-bee-colony-searchalgorithm_fig2_228448024	NOUN
cana-827	383	5	[	[	X
cana-827	383	6	14	14	NUM
cana-827	383	7	]	]	X
cana-827	383	8	yue	yue	PROPN
cana-827	383	9	,	,	PUNCT
cana-827	383	10	l.	l.	PROPN
cana-827	383	11	,	,	PUNCT
cana-827	383	12	chen	chen	PROPN
cana-827	383	13	,	,	PUNCT
cana-827	383	14	h.	h.	PROPN
cana-827	383	15	unmanned	unmanned	ADJ
cana-827	383	16	vehicle	vehicle	NOUN
cana-827	383	17	path	path	NOUN
cana-827	383	18	planning	planning	NOUN
cana-827	383	19	using	use	VERB
cana-827	383	20	a	a	DET
cana-827	383	21	novel	novel	ADJ
cana-827	383	22	ant	ant	ADJ
cana-827	383	23	colony	colony	NOUN
cana-827	383	24	algorithm	algorithm	NOUN
cana-827	383	25	.	.	PUNCT
cana-827	384	1	j	j	PROPN
cana-827	384	2	wireless	wireless	NOUN
cana-827	384	3	com	com	NOUN
cana-827	384	4	network	network	NOUN
cana-827	384	5	2019	2019	NUM
cana-827	384	6	,	,	PUNCT
cana-827	384	7	136	136	NUM
cana-827	384	8	(	(	PUNCT
cana-827	384	9	2019	2019	NUM
cana-827	384	10	)	)	PUNCT
cana-827	384	11	.	.	PUNCT
cana-827	385	1	https://doi.org/10.1186/s13638-019-1474-5	https://doi.org/10.1186/s13638-019-1474-5	PUNCT
cana-827	386	1	[	[	X
cana-827	386	2	15	15	NUM
cana-827	386	3	]	]	X
cana-827	386	4	de	de	X
cana-827	386	5	rango	rango	PROPN
cana-827	386	6	,	,	PUNCT
cana-827	386	7	f.	f.	PROPN
cana-827	386	8	,	,	PUNCT
cana-827	386	9	palmieri	palmieri	PROPN
cana-827	386	10	,	,	PUNCT
cana-827	386	11	n.	n.	PROPN
cana-827	386	12	,	,	PUNCT
cana-827	386	13	&	&	CCONJ
cana-827	386	14	tropea	tropea	PROPN
cana-827	386	15	,	,	PUNCT
cana-827	386	16	m.	m.	NOUN
cana-827	386	17	(	(	PUNCT
cana-827	386	18	2020	2020	NUM
cana-827	386	19	)	)	PUNCT
cana-827	386	20	.	.	PUNCT
cana-827	387	1	multirobot	multirobot	PROPN
cana-827	387	2	coordination	coordination	PROPN
cana-827	387	3	through	through	ADP
cana-827	387	4	bio	bio	ADJ
cana-827	387	5	-	-	PUNCT
cana-827	387	6	inspired	inspire	VERB
cana-827	387	7	strategies	strategy	NOUN
cana-827	387	8	.	.	PUNCT
cana-827	388	1	natureinspired	natureinspired	ADJ
cana-827	388	2	computation	computation	NOUN
cana-827	388	3	and	and	CCONJ
cana-827	388	4	swarm	swarm	NOUN
cana-827	388	5	intelligence	intelligence	NOUN
cana-827	388	6	,	,	PUNCT
cana-827	388	7	361–390	361–390	NUM
cana-827	388	8	.	.	PUNCT
cana-827	389	1	https://doi.org/10.1016/b978-0-12-819714-1.00030-0	https://doi.org/10.1016/b978-0-12-819714-1.00030-0	PROPN
cana-827	389	2	[	[	X
cana-827	389	3	16	16	NUM
cana-827	389	4	]	]	X
cana-827	389	5	teodorović	teodorović	PROPN
cana-827	389	6	,	,	PUNCT
cana-827	389	7	d.	d.	PROPN
cana-827	389	8	(	(	PUNCT
cana-827	389	9	2009	2009	NUM
cana-827	389	10	)	)	PUNCT
cana-827	389	11	.	.	PUNCT
cana-827	390	1	bee	bee	NOUN
cana-827	390	2	colony	colony	NOUN
cana-827	390	3	optimization	optimization	NOUN
cana-827	390	4	(	(	PUNCT
cana-827	390	5	bco	bco	NOUN
cana-827	390	6	)	)	PUNCT
cana-827	390	7	.	.	PUNCT
cana-827	391	1	innovations	innovation	NOUN
cana-827	391	2	in	in	ADP
cana-827	391	3	swarm	swarm	NOUN
cana-827	391	4	intelligence	intelligence	NOUN
cana-827	391	5	,	,	PUNCT
cana-827	391	6	39–60	39–60	NUM
cana-827	391	7	.	.	PUNCT
cana-827	391	8	https://doi.org/10.1007/978-3-642-04225-6_3	https://doi.org/10.1007/978-3-642-04225-6_3	X
cana-827	392	1	[	[	X
cana-827	392	2	17	17	NUM
cana-827	392	3	]	]	X
cana-827	392	4	jin	jin	NOUN
cana-827	392	5	,	,	PUNCT
cana-827	392	6	y.	y.	PROPN
cana-827	392	7	,	,	PUNCT
cana-827	392	8	sun	sun	PROPN
cana-827	392	9	,	,	PUNCT
cana-827	392	10	y.	y.	PROPN
cana-827	392	11	,	,	PUNCT
cana-827	392	12	&	&	CCONJ
cana-827	392	13	ma	ma	PROPN
cana-827	392	14	,	,	PUNCT
cana-827	392	15	h.	h.	PROPN
cana-827	392	16	(	(	PUNCT
cana-827	392	17	2018	2018	NUM
cana-827	392	18	,	,	PUNCT
cana-827	392	19	april	april	PROPN
cana-827	392	20	18	18	NUM
cana-827	392	21	)	)	PUNCT
cana-827	392	22	.	.	PUNCT
cana-827	393	1	a	a	DET
cana-827	393	2	developed	develop	VERB
cana-827	393	3	artificial	artificial	ADJ
cana-827	393	4	bee	bee	NOUN
cana-827	393	5	colony	colony	NOUN
cana-827	393	6	algorithm	algorithm	NOUN
cana-827	393	7	based	base	VERB
cana-827	393	8	on	on	ADP
cana-827	393	9	cloud	cloud	NOUN
cana-827	393	10	model	model	NOUN
cana-827	393	11	.	.	PUNCT
cana-827	394	1	mathematics	mathematic	NOUN
cana-827	394	2	;	;	PUNCT
cana-827	394	3	multidisciplinary	multidisciplinary	ADJ
cana-827	394	4	digital	digital	PROPN
cana-827	394	5	publishing	publishing	PROPN
cana-827	394	6	institute	institute	PROPN
cana-827	394	7	.	.	PUNCT
cana-827	395	1	https://doi.org/10.3390/math6040061	https://doi.org/10.3390/math6040061	PROPN