id	sid	tid	token	lemma	pos
cet-3927	1	1	chemical	chemical	NOUN
cet-3927	1	2	engineering	engineering	NOUN
cet-3927	1	3	transactions	transaction	NOUN
cet-3927	1	4	vol	vol	NOUN
cet-3927	1	5	.	.	PROPN
cet-3927	2	1	51	51	NUM
cet-3927	2	2	,	,	PUNCT
cet-3927	2	3	2016	2016	NUM
cet-3927	2	4	a	a	DET
cet-3927	2	5	publication	publication	NOUN
cet-3927	2	6	of	of	ADP
cet-3927	2	7	the	the	DET
cet-3927	2	8	italian	italian	ADJ
cet-3927	2	9	association	association	NOUN
cet-3927	2	10	of	of	ADP
cet-3927	2	11	chemical	chemical	PROPN
cet-3927	2	12	engineering	engineering	NOUN
cet-3927	2	13	online	online	ADV
cet-3927	2	14	at	at	ADP
cet-3927	2	15	www.aidic.it/cet	www.aidic.it/cet	PROPN
cet-3927	2	16	guest	guest	NOUN
cet-3927	2	17	editors	editor	NOUN
cet-3927	2	18	:	:	PUNCT
cet-3927	2	19	tichun	tichun	PROPN
cet-3927	2	20	wang	wang	PROPN
cet-3927	2	21	,	,	PUNCT
cet-3927	2	22	hongyang	hongyang	PROPN
cet-3927	2	23	zhang	zhang	PROPN
cet-3927	2	24	,	,	PUNCT
cet-3927	2	25	lei	lei	PROPN
cet-3927	2	26	tian	tian	ADJ
cet-3927	2	27	copyright	copyright	NOUN
cet-3927	2	28	©	©	PROPN
cet-3927	2	29	2016	2016	NUM
cet-3927	2	30	,	,	PUNCT
cet-3927	2	31	aidic	aidic	ADJ
cet-3927	2	32	servizi	servizi	PROPN
cet-3927	2	33	s.r.l	s.r.l	NOUN
cet-3927	2	34	.	.	PUNCT
cet-3927	2	35	,	,	PUNCT
cet-3927	2	36	isbn	isbn	PROPN
cet-3927	2	37	978	978	NUM
cet-3927	2	38	-	-	SYM
cet-3927	2	39	88	88	NUM
cet-3927	2	40	-	-	PUNCT
cet-3927	2	41	95608	95608	NUM
cet-3927	2	42	-	-	PUNCT
cet-3927	2	43	43	43	NUM
cet-3927	2	44	-	-	SYM
cet-3927	2	45	3	3	NUM
cet-3927	2	46	;	;	PUNCT
cet-3927	2	47	issn	issn	PROPN
cet-3927	2	48	2283	2283	NUM
cet-3927	2	49	-	-	SYM
cet-3927	2	50	9216	9216	NUM
cet-3927	2	51	application	application	NOUN
cet-3927	2	52	of	of	ADP
cet-3927	2	53	an	an	DET
cet-3927	2	54	improved	improved	ADJ
cet-3927	2	55	ant	ant	ADJ
cet-3927	2	56	colony	colony	NOUN
cet-3927	2	57	algorithm	algorithm	NOUN
cet-3927	2	58	in	in	ADP
cet-3927	2	59	tsp	tsp	NOUN
cet-3927	2	60	problem	problem	NOUN
cet-3927	2	61	solving	solve	VERB
cet-3927	2	62	weide	weide	NOUN
cet-3927	2	63	ren	ren	PROPN
cet-3927	2	64	*	*	PROPN
cet-3927	2	65	,	,	PUNCT
cet-3927	2	66	wenxin	wenxin	PROPN
cet-3927	2	67	sun	sun	PROPN
cet-3927	2	68	hebi	hebi	PROPN
cet-3927	2	69	polytechnic	polytechnic	PROPN
cet-3927	2	70	,	,	PUNCT
cet-3927	2	71	hebi	hebi	PROPN
cet-3927	2	72	,	,	PUNCT
cet-3927	2	73	458030	458030	NUM
cet-3927	2	74	,	,	PUNCT
cet-3927	2	75	china	china	PROPN
cet-3927	2	76	rwd121@126.com	rwd121@126.com	PROPN
cet-3927	2	77	ant	ant	ADJ
cet-3927	2	78	colony	colony	NOUN
cet-3927	2	79	algorithm	algorithm	NOUN
cet-3927	2	80	(	(	PUNCT
cet-3927	2	81	aca	aca	PROPN
cet-3927	2	82	)	)	PUNCT
cet-3927	2	83	is	be	AUX
cet-3927	2	84	a	a	DET
cet-3927	2	85	kind	kind	NOUN
cet-3927	2	86	of	of	ADP
cet-3927	2	87	heuristic	heuristic	ADJ
cet-3927	2	88	search	search	NOUN
cet-3927	2	89	algorithm	algorithm	NOUN
cet-3927	2	90	based	base	VERB
cet-3927	2	91	on	on	ADP
cet-3927	2	92	population	population	NOUN
cet-3927	2	93	search	search	NOUN
cet-3927	2	94	.	.	PUNCT
cet-3927	3	1	as	as	ADP
cet-3927	3	2	a	a	DET
cet-3927	3	3	new	new	ADJ
cet-3927	3	4	bionic	bionic	ADJ
cet-3927	3	5	algorithm	algorithm	NOUN
cet-3927	3	6	,	,	PUNCT
cet-3927	3	7	aca	aca	PROPN
cet-3927	3	8	has	have	AUX
cet-3927	3	9	attracted	attract	VERB
cet-3927	3	10	a	a	DET
cet-3927	3	11	lot	lot	NOUN
cet-3927	3	12	of	of	ADP
cet-3927	3	13	experts	expert	NOUN
cet-3927	3	14	and	and	CCONJ
cet-3927	3	15	scholars	scholar	NOUN
cet-3927	3	16	'	'	PART
cet-3927	3	17	attention	attention	NOUN
cet-3927	3	18	.	.	PUNCT
cet-3927	4	1	and	and	CCONJ
cet-3927	4	2	they	they	PRON
cet-3927	4	3	deduct	deduct	VERB
cet-3927	4	4	many	many	ADJ
cet-3927	4	5	different	different	ADJ
cet-3927	4	6	improved	improved	ADJ
cet-3927	4	7	versions	version	NOUN
cet-3927	4	8	.	.	PUNCT
cet-3927	5	1	because	because	SCONJ
cet-3927	5	2	of	of	ADP
cet-3927	5	3	the	the	DET
cet-3927	5	4	advantages	advantage	NOUN
cet-3927	5	5	of	of	ADP
cet-3927	5	6	ant	ant	ADJ
cet-3927	5	7	colony	colony	NOUN
cet-3927	5	8	algorithm	algorithm	NOUN
cet-3927	5	9	in	in	ADP
cet-3927	5	10	solving	solve	VERB
cet-3927	5	11	combinatorial	combinatorial	ADJ
cet-3927	5	12	optimization	optimization	NOUN
cet-3927	5	13	problems	problem	NOUN
cet-3927	5	14	,	,	PUNCT
cet-3927	5	15	it	it	PRON
cet-3927	5	16	has	have	AUX
cet-3927	5	17	been	be	AUX
cet-3927	5	18	widely	widely	ADV
cet-3927	5	19	applied	apply	VERB
cet-3927	5	20	to	to	ADP
cet-3927	5	21	various	various	ADJ
cet-3927	5	22	fields	field	NOUN
cet-3927	5	23	such	such	ADJ
cet-3927	5	24	as	as	ADP
cet-3927	5	25	academic	academic	ADJ
cet-3927	5	26	,	,	PUNCT
cet-3927	5	27	industrial	industrial	ADJ
cet-3927	5	28	and	and	CCONJ
cet-3927	5	29	commercial	commercial	ADJ
cet-3927	5	30	fields	field	NOUN
cet-3927	5	31	.	.	PUNCT
cet-3927	6	1	traveling	travel	VERB
cet-3927	6	2	salesman	salesman	ADJ
cet-3927	6	3	problem	problem	NOUN
cet-3927	6	4	(	(	PUNCT
cet-3927	6	5	tsp	tsp	NOUN
cet-3927	6	6	)	)	PUNCT
cet-3927	6	7	is	be	AUX
cet-3927	6	8	one	one	NUM
cet-3927	6	9	of	of	ADP
cet-3927	6	10	the	the	DET
cet-3927	6	11	classical	classical	ADJ
cet-3927	6	12	problems	problem	NOUN
cet-3927	6	13	in	in	ADP
cet-3927	6	14	the	the	DET
cet-3927	6	15	field	field	NOUN
cet-3927	6	16	of	of	ADP
cet-3927	6	17	combinatorial	combinatorial	ADJ
cet-3927	6	18	optimization	optimization	NOUN
cet-3927	6	19	.	.	PUNCT
cet-3927	7	1	the	the	DET
cet-3927	7	2	traditional	traditional	ADJ
cet-3927	7	3	ant	ant	ADJ
cet-3927	7	4	colony	colony	NOUN
cet-3927	7	5	algorithm	algorithm	NOUN
cet-3927	7	6	is	be	AUX
cet-3927	7	7	early	early	ADV
cet-3927	7	8	used	used	ADJ
cet-3927	7	9	to	to	PART
cet-3927	7	10	solve	solve	VERB
cet-3927	7	11	the	the	DET
cet-3927	7	12	tsp	tsp	NOUN
cet-3927	7	13	problem	problem	NOUN
cet-3927	7	14	,	,	PUNCT
cet-3927	7	15	but	but	CCONJ
cet-3927	7	16	it	it	PRON
cet-3927	7	17	is	be	AUX
cet-3927	7	18	limited	limit	VERB
cet-3927	7	19	by	by	ADP
cet-3927	7	20	its	its	PRON
cet-3927	7	21	own	own	ADJ
cet-3927	7	22	defects	defect	NOUN
cet-3927	7	23	such	such	ADJ
cet-3927	7	24	as	as	ADP
cet-3927	7	25	slow	slow	ADJ
cet-3927	7	26	convergence	convergence	NOUN
cet-3927	7	27	,	,	PUNCT
cet-3927	7	28	easy	easy	ADJ
cet-3927	7	29	to	to	PART
cet-3927	7	30	fall	fall	VERB
cet-3927	7	31	into	into	ADP
cet-3927	7	32	the	the	DET
cet-3927	7	33	local	local	ADJ
cet-3927	7	34	optimal	optimal	ADJ
cet-3927	7	35	solution	solution	NOUN
cet-3927	7	36	and	and	CCONJ
cet-3927	7	37	so	so	ADV
cet-3927	7	38	on	on	ADV
cet-3927	7	39	.	.	PUNCT
cet-3927	8	1	this	this	DET
cet-3927	8	2	paper	paper	NOUN
cet-3927	8	3	improves	improve	VERB
cet-3927	8	4	the	the	DET
cet-3927	8	5	traditional	traditional	ADJ
cet-3927	8	6	ant	ant	ADJ
cet-3927	8	7	colony	colony	NOUN
cet-3927	8	8	algorithm	algorithm	NOUN
cet-3927	8	9	,	,	PUNCT
cet-3927	8	10	and	and	CCONJ
cet-3927	8	11	it	it	PRON
cet-3927	8	12	is	be	AUX
cet-3927	8	13	applied	apply	VERB
cet-3927	8	14	to	to	PART
cet-3927	8	15	solve	solve	VERB
cet-3927	8	16	the	the	DET
cet-3927	8	17	tsp	tsp	NOUN
cet-3927	8	18	problem	problem	NOUN
cet-3927	8	19	.	.	PUNCT
cet-3927	9	1	first	first	ADV
cet-3927	9	2	of	of	ADP
cet-3927	9	3	all	all	PRON
cet-3927	9	4	,	,	PUNCT
cet-3927	9	5	we	we	PRON
cet-3927	9	6	use	use	VERB
cet-3927	9	7	genetic	genetic	ADJ
cet-3927	9	8	algorithm	algorithm	NOUN
cet-3927	9	9	to	to	PART
cet-3927	9	10	improve	improve	VERB
cet-3927	9	11	ant	ant	ADJ
cet-3927	9	12	colony	colony	NOUN
cet-3927	9	13	algorithm	algorithm	NOUN
cet-3927	9	14	.	.	PUNCT
cet-3927	10	1	by	by	ADP
cet-3927	10	2	introducing	introduce	VERB
cet-3927	10	3	the	the	DET
cet-3927	10	4	mutation	mutation	NOUN
cet-3927	10	5	factor	factor	NOUN
cet-3927	10	6	is	be	AUX
cet-3927	10	7	in	in	ADP
cet-3927	10	8	the	the	DET
cet-3927	10	9	algorithm	algorithm	NOUN
cet-3927	10	10	,	,	PUNCT
cet-3927	10	11	we	we	PRON
cet-3927	10	12	can	can	AUX
cet-3927	10	13	adjust	adjust	VERB
cet-3927	10	14	the	the	DET
cet-3927	10	15	numerical	numerical	ADJ
cet-3927	10	16	value	value	NOUN
cet-3927	10	17	of	of	ADP
cet-3927	10	18	the	the	DET
cet-3927	10	19	mutation	mutation	NOUN
cet-3927	10	20	factor	factor	NOUN
cet-3927	10	21	with	with	ADP
cet-3927	10	22	the	the	DET
cet-3927	10	23	algorithm	algorithm	NOUN
cet-3927	10	24	.	.	PUNCT
cet-3927	11	1	therefore	therefore	ADV
cet-3927	11	2	,	,	PUNCT
cet-3927	11	3	in	in	ADP
cet-3927	11	4	the	the	DET
cet-3927	11	5	initial	initial	ADJ
cet-3927	11	6	stage	stage	NOUN
cet-3927	11	7	of	of	ADP
cet-3927	11	8	the	the	DET
cet-3927	11	9	algorithm	algorithm	NOUN
cet-3927	11	10	,	,	PUNCT
cet-3927	11	11	we	we	PRON
cet-3927	11	12	can	can	AUX
cet-3927	11	13	guarantee	guarantee	VERB
cet-3927	11	14	that	that	SCONJ
cet-3927	11	15	the	the	DET
cet-3927	11	16	search	search	NOUN
cet-3927	11	17	scope	scope	NOUN
cet-3927	11	18	of	of	ADP
cet-3927	11	19	the	the	DET
cet-3927	11	20	ant	ant	ADJ
cet-3927	11	21	colony	colony	NOUN
cet-3927	11	22	is	be	AUX
cet-3927	11	23	large	large	ADJ
cet-3927	11	24	enough	enough	ADV
cet-3927	11	25	to	to	PART
cet-3927	11	26	prevent	prevent	VERB
cet-3927	11	27	the	the	DET
cet-3927	11	28	local	local	ADJ
cet-3927	11	29	convergence	convergence	NOUN
cet-3927	11	30	of	of	ADP
cet-3927	11	31	the	the	DET
cet-3927	11	32	algorithm	algorithm	NOUN
cet-3927	11	33	.	.	PUNCT
cet-3927	12	1	secondly	secondly	ADV
cet-3927	12	2	,	,	PUNCT
cet-3927	12	3	in	in	ADP
cet-3927	12	4	order	order	NOUN
cet-3927	12	5	to	to	PART
cet-3927	12	6	improve	improve	VERB
cet-3927	12	7	the	the	DET
cet-3927	12	8	operation	operation	NOUN
cet-3927	12	9	speed	speed	NOUN
cet-3927	12	10	of	of	ADP
cet-3927	12	11	the	the	DET
cet-3927	12	12	algorithm	algorithm	NOUN
cet-3927	12	13	,	,	PUNCT
cet-3927	12	14	we	we	PRON
cet-3927	12	15	can	can	AUX
cet-3927	12	16	optimize	optimize	VERB
cet-3927	12	17	the	the	DET
cet-3927	12	18	operation	operation	NOUN
cet-3927	12	19	process	process	NOUN
cet-3927	12	20	by	by	ADP
cet-3927	12	21	uniform	uniform	ADJ
cet-3927	12	22	design	design	NOUN
cet-3927	12	23	in	in	ADP
cet-3927	12	24	the	the	DET
cet-3927	12	25	initial	initial	ADJ
cet-3927	12	26	stage	stage	NOUN
cet-3927	12	27	of	of	ADP
cet-3927	12	28	the	the	DET
cet-3927	12	29	algorithm	algorithm	NOUN
cet-3927	12	30	.	.	PUNCT
cet-3927	13	1	finally	finally	ADV
cet-3927	13	2	,	,	PUNCT
cet-3927	13	3	by	by	ADP
cet-3927	13	4	integrating	integrate	VERB
cet-3927	13	5	these	these	DET
cet-3927	13	6	two	two	NUM
cet-3927	13	7	methods	method	NOUN
cet-3927	13	8	together	together	ADV
cet-3927	13	9	,	,	PUNCT
cet-3927	13	10	we	we	PRON
cet-3927	13	11	use	use	VERB
cet-3927	13	12	the	the	DET
cet-3927	13	13	improved	improved	ADJ
cet-3927	13	14	ant	ant	ADJ
cet-3927	13	15	colony	colony	NOUN
cet-3927	13	16	algorithm	algorithm	NOUN
cet-3927	13	17	to	to	PART
cet-3927	13	18	solve	solve	VERB
cet-3927	13	19	the	the	DET
cet-3927	13	20	tsp	tsp	NOUN
cet-3927	13	21	problem	problem	NOUN
cet-3927	13	22	effectively	effectively	ADV
cet-3927	13	23	.	.	PUNCT
cet-3927	14	1	1	1	X
cet-3927	14	2	.	.	X
cet-3927	14	3	introduction	introduction	NOUN
cet-3927	14	4	ant	ant	ADJ
cet-3927	14	5	colony	colony	NOUN
cet-3927	14	6	algorithm	algorithm	NOUN
cet-3927	14	7	was	be	AUX
cet-3927	14	8	a	a	DET
cet-3927	14	9	kind	kind	NOUN
cet-3927	14	10	of	of	ADP
cet-3927	14	11	bionic	bionic	ADJ
cet-3927	14	12	optimization	optimization	NOUN
cet-3927	14	13	algorithm	algorithm	NOUN
cet-3927	14	14	which	which	PRON
cet-3927	14	15	simulated	simulate	VERB
cet-3927	14	16	the	the	DET
cet-3927	14	17	foraging	forage	VERB
cet-3927	14	18	behavior	behavior	NOUN
cet-3927	14	19	of	of	ADP
cet-3927	14	20	ants	ant	NOUN
cet-3927	14	21	in	in	ADP
cet-3927	14	22	the	the	DET
cet-3927	14	23	real	real	ADJ
cet-3927	14	24	world	world	NOUN
cet-3927	14	25	(	(	PUNCT
cet-3927	14	26	ma	ma	PROPN
cet-3927	14	27	et	et	PROPN
cet-3927	14	28	al	al	PROPN
cet-3927	14	29	,	,	PUNCT
cet-3927	14	30	2008	2008	NUM
cet-3927	14	31	)	)	PUNCT
cet-3927	14	32	.	.	PUNCT
cet-3927	15	1	there	there	PRON
cet-3927	15	2	was	be	VERB
cet-3927	15	3	a	a	DET
cet-3927	15	4	very	very	ADV
cet-3927	15	5	important	important	ADJ
cet-3927	15	6	feature	feature	NOUN
cet-3927	15	7	of	of	ADP
cet-3927	15	8	ant	ant	NOUN
cet-3927	15	9	in	in	ADP
cet-3927	15	10	nature	nature	NOUN
cet-3927	15	11	.	.	PUNCT
cet-3927	16	1	no	no	ADV
cet-3927	16	2	matter	matter	ADV
cet-3927	16	3	how	how	SCONJ
cet-3927	16	4	complex	complex	ADJ
cet-3927	16	5	environment	environment	NOUN
cet-3927	16	6	was	be	AUX
cet-3927	16	7	,	,	PUNCT
cet-3927	16	8	ant	ant	PROPN
cet-3927	16	9	could	could	AUX
cet-3927	16	10	always	always	ADV
cet-3927	16	11	find	find	VERB
cet-3927	16	12	the	the	DET
cet-3927	16	13	shortest	short	ADJ
cet-3927	16	14	path	path	NOUN
cet-3927	16	15	between	between	ADP
cet-3927	16	16	the	the	DET
cet-3927	16	17	nest	nest	NOUN
cet-3927	16	18	and	and	CCONJ
cet-3927	16	19	the	the	DET
cet-3927	16	20	food	food	NOUN
cet-3927	16	21	(	(	PUNCT
cet-3927	16	22	li	li	PROPN
cet-3927	16	23	,	,	PUNCT
cet-3927	16	24	2003	2003	NUM
cet-3927	16	25	)	)	PUNCT
cet-3927	16	26	.	.	PUNCT
cet-3927	17	1	it	it	PRON
cet-3927	17	2	was	be	AUX
cet-3927	17	3	well	well	ADV
cet-3927	17	4	suited	suited	ADJ
cet-3927	17	5	to	to	PART
cet-3927	17	6	solve	solve	VERB
cet-3927	17	7	large	large	ADJ
cet-3927	17	8	-	-	PUNCT
cet-3927	17	9	scale	scale	NOUN
cet-3927	17	10	distributed	distribute	VERB
cet-3927	17	11	optimization	optimization	NOUN
cet-3927	17	12	problems	problem	NOUN
cet-3927	17	13	without	without	ADP
cet-3927	17	14	providing	provide	VERB
cet-3927	17	15	global	global	ADJ
cet-3927	17	16	models	model	NOUN
cet-3927	17	17	and	and	CCONJ
cet-3927	17	18	without	without	ADP
cet-3927	17	19	centralized	centralized	ADJ
cet-3927	17	20	control	control	NOUN
cet-3927	17	21	(	(	PUNCT
cet-3927	17	22	wu	wu	PROPN
cet-3927	17	23	and	and	CCONJ
cet-3927	17	24	wang	wang	PROPN
cet-3927	17	25	,	,	PUNCT
cet-3927	17	26	2004	2004	NUM
cet-3927	17	27	)	)	PUNCT
cet-3927	17	28	.	.	PUNCT
cet-3927	18	1	in	in	ADP
cet-3927	18	2	1991	1991	NUM
cet-3927	18	3	,	,	PUNCT
cet-3927	18	4	the	the	DET
cet-3927	18	5	italy	italy	PROPN
cet-3927	18	6	scholar	scholar	PROPN
cet-3927	18	7	dorigo	dorigo	PROPN
cet-3927	18	8	et	et	PROPN
cet-3927	18	9	al	al	PROPN
cet-3927	18	10	,	,	PUNCT
cet-3927	18	11	(	(	PUNCT
cet-3927	18	12	1991	1991	NUM
cet-3927	18	13	)	)	PUNCT
cet-3927	18	14	put	put	VERB
cet-3927	18	15	forward	forward	ADP
cet-3927	18	16	the	the	DET
cet-3927	18	17	ant	ant	ADJ
cet-3927	18	18	colony	colony	NOUN
cet-3927	18	19	algorithm	algorithm	NOUN
cet-3927	18	20	.	.	PUNCT
cet-3927	19	1	subsequently	subsequently	ADV
cet-3927	19	2	,	,	PUNCT
cet-3927	19	3	many	many	ADJ
cet-3927	19	4	scholars	scholar	NOUN
cet-3927	19	5	had	have	AUX
cet-3927	19	6	entered	enter	VERB
cet-3927	19	7	this	this	DET
cet-3927	19	8	field	field	NOUN
cet-3927	19	9	to	to	PART
cet-3927	19	10	study	study	VERB
cet-3927	19	11	the	the	DET
cet-3927	19	12	algorithm	algorithm	NOUN
cet-3927	19	13	.	.	PUNCT
cet-3927	20	1	dorigo	dorigo	PROPN
cet-3927	20	2	(	(	PUNCT
cet-3927	20	3	1992	1992	NUM
cet-3927	20	4	)	)	PUNCT
cet-3927	20	5	further	far	ADV
cet-3927	20	6	illustrated	illustrate	VERB
cet-3927	20	7	the	the	DET
cet-3927	20	8	core	core	ADJ
cet-3927	20	9	idea	idea	NOUN
cet-3927	20	10	of	of	ADP
cet-3927	20	11	ant	ant	ADJ
cet-3927	20	12	colony	colony	NOUN
cet-3927	20	13	algorithm	algorithm	NOUN
cet-3927	20	14	in	in	ADP
cet-3927	20	15	the	the	DET
cet-3927	20	16	doctoral	doctoral	ADJ
cet-3927	20	17	dissertation	dissertation	NOUN
cet-3927	20	18	.	.	PUNCT
cet-3927	21	1	on	on	ADP
cet-3927	21	2	the	the	DET
cet-3927	21	3	basis	basis	NOUN
cet-3927	21	4	of	of	ADP
cet-3927	21	5	previous	previous	ADJ
cet-3927	21	6	studies	study	NOUN
cet-3927	21	7	,	,	PUNCT
cet-3927	21	8	maniezzo	maniezzo	PROPN
cet-3927	21	9	and	and	CCONJ
cet-3927	21	10	dorigo	dorigo	PROPN
cet-3927	21	11	(	(	PUNCT
cet-3927	21	12	1996	1996	NUM
cet-3927	21	13	)	)	PUNCT
cet-3927	21	14	further	far	ADV
cet-3927	21	15	summarized	summarize	VERB
cet-3927	21	16	and	and	CCONJ
cet-3927	21	17	put	put	VERB
cet-3927	21	18	forward	forward	ADP
cet-3927	21	19	an	an	DET
cet-3927	21	20	ant	ant	ADJ
cet-3927	21	21	algorithm	algorithm	NOUN
cet-3927	21	22	model	model	NOUN
cet-3927	21	23	which	which	PRON
cet-3927	21	24	was	be	AUX
cet-3927	21	25	ant	ant	ADJ
cet-3927	21	26	colony	colony	NOUN
cet-3927	21	27	optimization	optimization	NOUN
cet-3927	21	28	(	(	PUNCT
cet-3927	21	29	aco	aco	PROPN
cet-3927	21	30	)	)	PUNCT
cet-3927	21	31	for	for	ADP
cet-3927	21	32	solving	solve	VERB
cet-3927	21	33	combinatorial	combinatorial	ADJ
cet-3927	21	34	optimization	optimization	NOUN
cet-3927	21	35	problems	problem	NOUN
cet-3927	21	36	.	.	PUNCT
cet-3927	22	1	bullnheimer	bullnheimer	PROPN
cet-3927	22	2	et	et	PROPN
cet-3927	22	3	al	al	PROPN
cet-3927	22	4	(	(	PUNCT
cet-3927	22	5	1999	1999	NUM
cet-3927	22	6	)	)	PUNCT
cet-3927	22	7	proposed	propose	VERB
cet-3927	22	8	rank	rank	NOUN
cet-3927	22	9	-	-	PUNCT
cet-3927	22	10	based	base	VERB
cet-3927	22	11	version	version	NOUN
cet-3927	22	12	of	of	ADP
cet-3927	22	13	ant	ant	ADJ
cet-3927	22	14	system	system	NOUN
cet-3927	22	15	(	(	PUNCT
cet-3927	22	16	asrank	asrank	NOUN
cet-3927	22	17	)	)	PUNCT
cet-3927	22	18	.	.	PUNCT
cet-3927	23	1	according	accord	VERB
cet-3927	23	2	to	to	ADP
cet-3927	23	3	the	the	DET
cet-3927	23	4	different	different	ADJ
cet-3927	23	5	levels	level	NOUN
cet-3927	23	6	of	of	ADP
cet-3927	23	7	the	the	DET
cet-3927	23	8	solution	solution	NOUN
cet-3927	23	9	,	,	PUNCT
cet-3927	23	10	the	the	DET
cet-3927	23	11	algorithm	algorithm	NOUN
cet-3927	23	12	updated	update	VERB
cet-3927	23	13	the	the	DET
cet-3927	23	14	pheromone	pheromone	NOUN
cet-3927	23	15	differently	differently	ADV
cet-3927	23	16	.	.	PUNCT
cet-3927	24	1	stützle	stützle	NOUN
cet-3927	24	2	and	and	CCONJ
cet-3927	24	3	hoos	hoos	PROPN
cet-3927	24	4	(	(	PUNCT
cet-3927	24	5	1996	1996	NUM
cet-3927	24	6	)	)	PUNCT
cet-3927	24	7	proposed	propose	VERB
cet-3927	24	8	another	another	DET
cet-3927	24	9	improved	improve	VERB
cet-3927	24	10	ant	ant	ADJ
cet-3927	24	11	colony	colony	NOUN
cet-3927	24	12	algorithm	algorithm	NOUN
cet-3927	24	13	,	,	PUNCT
cet-3927	24	14	namely	namely	ADV
cet-3927	24	15	,	,	PUNCT
cet-3927	24	16	max	max	PROPN
cet-3927	24	17	-	-	PUNCT
cet-3927	24	18	min	min	NOUN
cet-3927	24	19	ant	ant	ADJ
cet-3927	24	20	system	system	NOUN
cet-3927	24	21	(	(	PUNCT
cet-3927	24	22	mmas	mmas	PROPN
cet-3927	24	23	)	)	PUNCT
cet-3927	24	24	.	.	PUNCT
cet-3927	25	1	the	the	DET
cet-3927	25	2	algorithm	algorithm	NOUN
cet-3927	25	3	defined	define	VERB
cet-3927	25	4	the	the	DET
cet-3927	25	5	upper	upper	ADJ
cet-3927	25	6	and	and	CCONJ
cet-3927	25	7	lower	low	ADJ
cet-3927	25	8	bounds	bound	NOUN
cet-3927	25	9	of	of	ADP
cet-3927	25	10	the	the	DET
cet-3927	25	11	value	value	NOUN
cet-3927	25	12	of	of	ADP
cet-3927	25	13	the	the	DET
cet-3927	25	14	information	information	NOUN
cet-3927	25	15	,	,	PUNCT
cet-3927	25	16	and	and	CCONJ
cet-3927	25	17	the	the	DET
cet-3927	25	18	trail	trail	NOUN
cet-3927	25	19	smoothing	smoothing	NOUN
cet-3927	25	20	mechanism	mechanism	NOUN
cet-3927	25	21	(	(	PUNCT
cet-3927	25	22	tsm	tsm	NOUN
cet-3927	25	23	)	)	PUNCT
cet-3927	25	24	was	be	AUX
cet-3927	25	25	adopted	adopt	VERB
cet-3927	25	26	in	in	ADP
cet-3927	25	27	the	the	DET
cet-3927	25	28	algorithm	algorithm	NOUN
cet-3927	25	29	.	.	PUNCT
cet-3927	26	1	watanabe	watanabe	PROPN
cet-3927	26	2	i	i	PROPN
cet-3927	26	3	and	and	CCONJ
cet-3927	26	4	matsui	matsui	PROPN
cet-3927	26	5	s	s	X
cet-3927	26	6	(	(	PUNCT
cet-3927	26	7	2003	2003	NUM
cet-3927	26	8	)	)	PUNCT
cet-3927	26	9	proposed	propose	VERB
cet-3927	26	10	adaptive	adaptive	ADJ
cet-3927	26	11	ant	ant	ADJ
cet-3927	26	12	colony	colony	NOUN
cet-3927	26	13	algorithm	algorithm	NOUN
cet-3927	26	14	(	(	PUNCT
cet-3927	26	15	aaca	aaca	PROPN
cet-3927	26	16	)	)	PUNCT
cet-3927	26	17	.	.	PUNCT
cet-3927	27	1	li	li	PROPN
cet-3927	27	2	yue	yue	PROPN
cet-3927	27	3	-	-	PUNCT
cet-3927	27	4	guang	guang	PROPN
cet-3927	27	5	(	(	PUNCT
cet-3927	27	6	2008	2008	NUM
cet-3927	27	7	)	)	PUNCT
cet-3927	27	8	proposed	propose	VERB
cet-3927	27	9	quantum	quantum	NOUN
cet-3927	27	10	and	and	CCONJ
cet-3927	27	11	ant	ant	ADJ
cet-3927	27	12	colony	colony	NOUN
cet-3927	27	13	algorithm	algorithm	NOUN
cet-3927	27	14	(	(	PUNCT
cet-3927	27	15	qaca	qaca	NOUN
cet-3927	27	16	)	)	PUNCT
cet-3927	27	17	.	.	PUNCT
cet-3927	28	1	tsp	tsp	NOUN
cet-3927	28	2	problem	problem	NOUN
cet-3927	28	3	was	be	AUX
cet-3927	28	4	always	always	ADV
cet-3927	28	5	the	the	DET
cet-3927	28	6	first	first	ADJ
cet-3927	28	7	choice	choice	NOUN
cet-3927	28	8	for	for	ADP
cet-3927	28	9	the	the	DET
cet-3927	28	10	research	research	NOUN
cet-3927	28	11	of	of	ADP
cet-3927	28	12	ant	ant	ADJ
cet-3927	28	13	colony	colony	NOUN
cet-3927	28	14	algorithm	algorithm	NOUN
cet-3927	28	15	.	.	PUNCT
cet-3927	29	1	in	in	ADP
cet-3927	29	2	a	a	DET
cet-3927	29	3	fixed	fix	VERB
cet-3927	29	4	urban	urban	ADJ
cet-3927	29	5	transportation	transportation	NOUN
cet-3927	29	6	network	network	NOUN
cet-3927	29	7	,	,	PUNCT
cet-3927	29	8	we	we	PRON
cet-3927	29	9	chose	choose	VERB
cet-3927	29	10	the	the	DET
cet-3927	29	11	shortest	short	ADJ
cet-3927	29	12	route	route	NOUN
cet-3927	29	13	for	for	ADP
cet-3927	29	14	the	the	DET
cet-3927	29	15	salesman	salesman	NOUN
cet-3927	29	16	,	,	PUNCT
cet-3927	29	17	which	which	PRON
cet-3927	29	18	started	start	VERB
cet-3927	29	19	from	from	ADP
cet-3927	29	20	a	a	DET
cet-3927	29	21	point	point	NOUN
cet-3927	29	22	of	of	ADP
cet-3927	29	23	the	the	DET
cet-3927	29	24	network	network	NOUN
cet-3927	29	25	,	,	PUNCT
cet-3927	29	26	and	and	CCONJ
cet-3927	29	27	went	go	VERB
cet-3927	29	28	back	back	ADV
cet-3927	29	29	to	to	ADP
cet-3927	29	30	it	it	PRON
cet-3927	29	31	after	after	ADP
cet-3927	29	32	going	go	VERB
cet-3927	29	33	through	through	ADP
cet-3927	29	34	each	each	DET
cet-3927	29	35	node	node	NOUN
cet-3927	29	36	(	(	PUNCT
cet-3927	29	37	chen	chen	PROPN
cet-3927	29	38	and	and	CCONJ
cet-3927	29	39	dai	dai	PROPN
cet-3927	29	40	,	,	PUNCT
cet-3927	29	41	2006	2006	NUM
cet-3927	29	42	)	)	PUNCT
cet-3927	29	43	.	.	PUNCT
cet-3927	30	1	the	the	DET
cet-3927	30	2	search	search	NOUN
cet-3927	30	3	space	space	NOUN
cet-3927	30	4	of	of	ADP
cet-3927	30	5	tsp	tsp	NOUN
cet-3927	30	6	is	be	AUX
cet-3927	30	7	the	the	DET
cet-3927	30	8	set	set	NOUN
cet-3927	30	9	of	of	ADP
cet-3927	30	10	all	all	DET
cet-3927	30	11	permutations	permutation	NOUN
cet-3927	30	12	of	of	ADP
cet-3927	30	13	n	n	DET
cet-3927	30	14	city	city	NOUN
cet-3927	30	15	,	,	PUNCT
cet-3927	30	16	the	the	DET
cet-3927	30	17	size	size	NOUN
cet-3927	30	18	is	be	AUX
cet-3927	30	19	!	!	PUNCT
cet-3927	31	1	n	n	X
cet-3927	31	2	.	.	PUNCT
cet-3927	32	1	a	a	DET
cet-3927	32	2	single	single	ADJ
cet-3927	32	3	arrangement	arrangement	NOUN
cet-3927	32	4	of	of	ADP
cet-3927	32	5	any	any	DET
cet-3927	32	6	n	n	PRON
cet-3927	32	7	cities	city	NOUN
cet-3927	32	8	produces	produce	VERB
cet-3927	32	9	a	a	DET
cet-3927	32	10	solution	solution	NOUN
cet-3927	32	11	,	,	PUNCT
cet-3927	32	12	which	which	PRON
cet-3927	32	13	is	be	AUX
cet-3927	32	14	interpreted	interpret	VERB
cet-3927	32	15	as	as	ADP
cet-3927	32	16	a	a	DET
cet-3927	32	17	full	full	ADJ
cet-3927	32	18	path	path	NOUN
cet-3927	32	19	,	,	PUNCT
cet-3927	32	20	and	and	CCONJ
cet-3927	32	21	is	be	AUX
cet-3927	32	22	implied	imply	VERB
cet-3927	32	23	to	to	PART
cet-3927	32	24	return	return	VERB
cet-3927	32	25	to	to	ADP
cet-3927	32	26	the	the	DET
cet-3927	32	27	starting	starting	NOUN
cet-3927	32	28	point	point	NOUN
cet-3927	32	29	immediately	immediately	ADV
cet-3927	32	30	after	after	ADP
cet-3927	32	31	visiting	visit	VERB
cet-3927	32	32	the	the	DET
cet-3927	32	33	last	last	ADJ
cet-3927	32	34	city	city	NOUN
cet-3927	32	35	.	.	PUNCT
cet-3927	33	1	tsp	tsp	NOUN
cet-3927	33	2	problem	problem	NOUN
cet-3927	33	3	is	be	AUX
cet-3927	33	4	an	an	DET
cet-3927	33	5	abstract	abstract	ADJ
cet-3927	33	6	form	form	NOUN
cet-3927	33	7	of	of	ADP
cet-3927	33	8	complex	complex	ADJ
cet-3927	33	9	engineering	engineering	NOUN
cet-3927	33	10	optimization	optimization	NOUN
cet-3927	33	11	problems	problem	NOUN
cet-3927	33	12	in	in	ADP
cet-3927	33	13	many	many	ADJ
cet-3927	33	14	fields	field	NOUN
cet-3927	33	15	.	.	PUNCT
cet-3927	34	1	it	it	PRON
cet-3927	34	2	is	be	AUX
cet-3927	34	3	widely	widely	ADV
cet-3927	34	4	used	use	VERB
cet-3927	34	5	in	in	ADP
cet-3927	34	6	the	the	DET
cet-3927	34	7	fields	field	NOUN
cet-3927	34	8	of	of	ADP
cet-3927	34	9	chip	chip	NOUN
cet-3927	34	10	design	design	NOUN
cet-3927	34	11	,	,	PUNCT
cet-3927	34	12	network	network	NOUN
cet-3927	34	13	routing	routing	NOUN
cet-3927	34	14	and	and	CCONJ
cet-3927	34	15	vehicle	vehicle	NOUN
cet-3927	34	16	routing	routing	NOUN
cet-3927	34	17	(	(	PUNCT
cet-3927	34	18	zhang	zhang	PROPN
cet-3927	34	19	et	et	PROPN
cet-3927	34	20	al	al	PROPN
cet-3927	34	21	,	,	PUNCT
cet-3927	34	22	2009	2009	NUM
cet-3927	34	23	)	)	PUNCT
cet-3927	34	24	.	.	PUNCT
cet-3927	35	1	now	now	ADV
cet-3927	35	2	,	,	PUNCT
cet-3927	35	3	tsp	tsp	NOUN
cet-3927	35	4	is	be	AUX
cet-3927	35	5	more	more	ADV
cet-3927	35	6	widely	widely	ADV
cet-3927	35	7	used	use	VERB
cet-3927	35	8	in	in	ADP
cet-3927	35	9	how	how	SCONJ
cet-3927	35	10	to	to	PART
cet-3927	35	11	plan	plan	VERB
cet-3927	35	12	the	the	DET
cet-3927	35	13	most	most	ADV
cet-3927	35	14	reasonable	reasonable	ADJ
cet-3927	35	15	road	road	NOUN
cet-3927	35	16	construction	construction	NOUN
cet-3927	35	17	to	to	PART
cet-3927	35	18	reduce	reduce	VERB
cet-3927	35	19	the	the	DET
cet-3927	35	20	traffic	traffic	NOUN
cet-3927	35	21	congestion	congestion	NOUN
cet-3927	35	22	.	.	PUNCT
cet-3927	36	1	besides	besides	SCONJ
cet-3927	36	2	,	,	PUNCT
cet-3927	36	3	it	it	PRON
cet-3927	36	4	doi	doi	NOUN
cet-3927	36	5	:	:	PUNCT
cet-3927	36	6	10.3303	10.3303	NUM
cet-3927	36	7	/	/	SYM
cet-3927	36	8	cet1651063	cet1651063	NOUN
cet-3927	36	9	please	please	INTJ
cet-3927	36	10	cite	cite	VERB
cet-3927	36	11	this	this	DET
cet-3927	36	12	article	article	NOUN
cet-3927	36	13	as	as	ADP
cet-3927	36	14	:	:	PUNCT
cet-3927	36	15	ren	ren	PROPN
cet-3927	36	16	w.d	w.d	PROPN
cet-3927	36	17	.	.	PROPN
cet-3927	36	18	,	,	PUNCT
cet-3927	36	19	sun	sun	PROPN
cet-3927	36	20	w.x	w.x	PROPN
cet-3927	36	21	.	.	PROPN
cet-3927	36	22	,	,	PUNCT
cet-3927	36	23	2016	2016	NUM
cet-3927	36	24	,	,	PUNCT
cet-3927	36	25	application	application	NOUN
cet-3927	36	26	of	of	ADP
cet-3927	36	27	an	an	DET
cet-3927	36	28	improved	improve	VERB
cet-3927	36	29	ant	ant	ADJ
cet-3927	36	30	colony	colony	NOUN
cet-3927	36	31	algorithm	algorithm	NOUN
cet-3927	36	32	in	in	ADP
cet-3927	36	33	tsp	tsp	NOUN
cet-3927	36	34	problem	problem	NOUN
cet-3927	36	35	solving	solving	NOUN
cet-3927	36	36	,	,	PUNCT
cet-3927	36	37	chemical	chemical	ADJ
cet-3927	36	38	engineering	engineering	NOUN
cet-3927	36	39	transactions	transaction	NOUN
cet-3927	36	40	,	,	PUNCT
cet-3927	36	41	51	51	NUM
cet-3927	36	42	,	,	PUNCT
cet-3927	36	43	373	373	NUM
cet-3927	36	44	-	-	SYM
cet-3927	36	45	378	378	NUM
cet-3927	36	46	doi:10.3303	doi:10.3303	NOUN
cet-3927	36	47	/	/	SYM
cet-3927	36	48	cet1651063	cet1651063	NOUN
cet-3927	36	49	373	373	NUM
cet-3927	36	50	is	be	AUX
cet-3927	36	51	adopted	adopt	VERB
cet-3927	36	52	in	in	ADP
cet-3927	36	53	how	how	SCONJ
cet-3927	36	54	to	to	PART
cet-3927	36	55	set	set	VERB
cet-3927	36	56	the	the	DET
cet-3927	36	57	node	node	NOUN
cet-3927	36	58	to	to	PART
cet-3927	36	59	spread	spread	VERB
cet-3927	36	60	the	the	DET
cet-3927	36	61	information	information	NOUN
cet-3927	36	62	better	well	ADV
cet-3927	36	63	in	in	ADP
cet-3927	36	64	the	the	DET
cet-3927	36	65	internet	internet	NOUN
cet-3927	36	66	environment	environment	NOUN
cet-3927	36	67	,	,	PUNCT
cet-3927	36	68	etc	etc	X
cet-3927	36	69	.	.	X
cet-3927	37	1	in	in	ADP
cet-3927	37	2	this	this	DET
cet-3927	37	3	paper	paper	NOUN
cet-3927	37	4	,	,	PUNCT
cet-3927	37	5	based	base	VERB
cet-3927	37	6	on	on	ADP
cet-3927	37	7	the	the	DET
cet-3927	37	8	traditional	traditional	ADJ
cet-3927	37	9	ant	ant	ADJ
cet-3927	37	10	colony	colony	NOUN
cet-3927	37	11	algorithm	algorithm	NOUN
cet-3927	37	12	,	,	PUNCT
cet-3927	37	13	the	the	DET
cet-3927	37	14	ant	ant	ADJ
cet-3927	37	15	colony	colony	NOUN
cet-3927	37	16	algorithm	algorithm	NOUN
cet-3927	37	17	is	be	AUX
cet-3927	37	18	improved	improve	VERB
cet-3927	37	19	to	to	PART
cet-3927	37	20	meet	meet	VERB
cet-3927	37	21	the	the	DET
cet-3927	37	22	need	need	NOUN
cet-3927	37	23	of	of	ADP
cet-3927	37	24	expanding	expand	VERB
cet-3927	37	25	the	the	DET
cet-3927	37	26	tsp	tsp	NOUN
cet-3927	37	27	application	application	NOUN
cet-3927	37	28	field	field	NOUN
cet-3927	37	29	.	.	PUNCT
cet-3927	38	1	2	2	X
cet-3927	38	2	.	.	X
cet-3927	38	3	ant	ant	ADJ
cet-3927	38	4	colony	colony	NOUN
cet-3927	38	5	algorithm	algorithm	NOUN
cet-3927	38	6	2.1	2.1	NUM
cet-3927	38	7	the	the	DET
cet-3927	38	8	principle	principle	NOUN
cet-3927	38	9	of	of	ADP
cet-3927	38	10	ant	ant	ADJ
cet-3927	38	11	colony	colony	NOUN
cet-3927	38	12	algorithm	algorithm	NOUN
cet-3927	38	13	according	accord	VERB
cet-3927	38	14	to	to	ADP
cet-3927	38	15	the	the	DET
cet-3927	38	16	long	long	ADJ
cet-3927	38	17	-	-	PUNCT
cet-3927	38	18	term	term	NOUN
cet-3927	38	19	observation	observation	NOUN
cet-3927	38	20	and	and	CCONJ
cet-3927	38	21	research	research	NOUN
cet-3927	38	22	of	of	ADP
cet-3927	38	23	biologists	biologist	NOUN
cet-3927	38	24	,	,	PUNCT
cet-3927	38	25	ants	ant	NOUN
cet-3927	38	26	search	search	NOUN
cet-3927	38	27	path	path	NOUN
cet-3927	38	28	of	of	ADP
cet-3927	38	29	backing	back	VERB
cet-3927	38	30	home	home	NOUN
cet-3927	38	31	relying	rely	VERB
cet-3927	38	32	on	on	ADP
cet-3927	38	33	crawling	crawl	VERB
cet-3927	38	34	pheromone	pheromone	NOUN
cet-3927	38	35	which	which	PRON
cet-3927	38	36	is	be	AUX
cet-3927	38	37	secreted	secrete	VERB
cet-3927	38	38	by	by	ADP
cet-3927	38	39	their	their	PRON
cet-3927	38	40	selves	self	NOUN
cet-3927	38	41	in	in	ADP
cet-3927	38	42	their	their	PRON
cet-3927	38	43	path	path	NOUN
cet-3927	38	44	.	.	PUNCT
cet-3927	39	1	studies	study	NOUN
cet-3927	39	2	have	have	AUX
cet-3927	39	3	shown	show	VERB
cet-3927	39	4	that	that	SCONJ
cet-3927	39	5	ants	ant	NOUN
cet-3927	39	6	in	in	ADP
cet-3927	39	7	finding	find	VERB
cet-3927	39	8	the	the	DET
cet-3927	39	9	source	source	NOUN
cet-3927	39	10	of	of	ADP
cet-3927	39	11	food	food	NOUN
cet-3927	39	12	,	,	PUNCT
cet-3927	39	13	always	always	ADV
cet-3927	39	14	release	release	VERB
cet-3927	39	15	a	a	DET
cet-3927	39	16	special	special	ADJ
cet-3927	39	17	secretions	secretion	NOUN
cet-3927	39	18	informationpheromone	informationpheromone	NOUN
cet-3927	39	19	,	,	PUNCT
cet-3927	39	20	to	to	PART
cet-3927	39	21	make	make	VERB
cet-3927	39	22	the	the	DET
cet-3927	39	23	other	other	ADJ
cet-3927	39	24	ants	ant	NOUN
cet-3927	39	25	within	within	ADP
cet-3927	39	26	a	a	DET
cet-3927	39	27	certain	certain	ADJ
cet-3927	39	28	range	range	NOUN
cet-3927	39	29	perceive	perceive	NOUN
cet-3927	39	30	and	and	CCONJ
cet-3927	39	31	affect	affect	VERB
cet-3927	39	32	their	their	PRON
cet-3927	39	33	future	future	ADJ
cet-3927	39	34	behavior	behavior	NOUN
cet-3927	39	35	.	.	PUNCT
cet-3927	40	1	the	the	DET
cet-3927	40	2	ants	ant	NOUN
cet-3927	40	3	will	will	AUX
cet-3927	40	4	give	give	VERB
cet-3927	40	5	preference	preference	NOUN
cet-3927	40	6	to	to	ADP
cet-3927	40	7	those	those	DET
cet-3927	40	8	paths	path	NOUN
cet-3927	40	9	with	with	ADP
cet-3927	40	10	high	high	ADJ
cet-3927	40	11	concentration	concentration	NOUN
cet-3927	40	12	of	of	ADP
cet-3927	40	13	pheromone	pheromone	NOUN
cet-3927	40	14	,	,	PUNCT
cet-3927	40	15	according	accord	VERB
cet-3927	40	16	to	to	ADP
cet-3927	40	17	the	the	DET
cet-3927	40	18	paths	path	NOUN
cet-3927	40	19	’	'	PUNCT
cet-3927	40	20	pheromone	pheromone	NOUN
cet-3927	40	21	concentration	concentration	NOUN
cet-3927	40	22	.	.	PUNCT
cet-3927	41	1	the	the	DET
cet-3927	41	2	pheromone	pheromone	NOUN
cet-3927	41	3	will	will	AUX
cet-3927	41	4	gradually	gradually	ADV
cet-3927	41	5	evaporate	evaporate	VERB
cet-3927	41	6	with	with	ADP
cet-3927	41	7	time	time	NOUN
cet-3927	41	8	,	,	PUNCT
cet-3927	41	9	and	and	CCONJ
cet-3927	41	10	the	the	DET
cet-3927	41	11	intensity	intensity	NOUN
cet-3927	41	12	will	will	AUX
cet-3927	41	13	gradually	gradually	ADV
cet-3927	41	14	weaken	weaken	VERB
cet-3927	41	15	(	(	PUNCT
cet-3927	41	16	hossein	hossein	PROPN
cet-3927	41	17	and	and	CCONJ
cet-3927	41	18	taherinejad	taherinejad	PROPN
cet-3927	41	19	,	,	PUNCT
cet-3927	41	20	2009	2009	NUM
cet-3927	41	21	)	)	PUNCT
cet-3927	41	22	.	.	PUNCT
cet-3927	42	1	the	the	DET
cet-3927	42	2	shorter	short	ADJ
cet-3927	42	3	the	the	DET
cet-3927	42	4	path	path	NOUN
cet-3927	42	5	,	,	PUNCT
cet-3927	42	6	the	the	PRON
cet-3927	42	7	higher	high	ADJ
cet-3927	42	8	the	the	DET
cet-3927	42	9	pheromone	pheromone	NOUN
cet-3927	42	10	concentration	concentration	NOUN
cet-3927	42	11	,	,	PUNCT
cet-3927	42	12	and	and	CCONJ
cet-3927	42	13	there	there	PRON
cet-3927	42	14	will	will	AUX
cet-3927	42	15	be	be	AUX
cet-3927	42	16	more	more	ADJ
cet-3927	42	17	of	of	ADP
cet-3927	42	18	the	the	DET
cet-3927	42	19	ants	ant	NOUN
cet-3927	42	20	.	.	PUNCT
cet-3927	43	1	the	the	DET
cet-3927	43	2	foraging	forage	VERB
cet-3927	43	3	process	process	NOUN
cet-3927	43	4	of	of	ADP
cet-3927	43	5	ant	ant	ADJ
cet-3927	43	6	colony	colony	NOUN
cet-3927	43	7	is	be	AUX
cet-3927	43	8	a	a	DET
cet-3927	43	9	positive	positive	ADJ
cet-3927	43	10	feedback	feedback	NOUN
cet-3927	43	11	process	process	NOUN
cet-3927	43	12	.	.	PUNCT
cet-3927	44	1	figure	figure	NOUN
cet-3927	44	2	1	1	NUM
cet-3927	44	3	describes	describe	VERB
cet-3927	44	4	the	the	DET
cet-3927	44	5	operation	operation	NOUN
cet-3927	44	6	mechanism	mechanism	NOUN
cet-3927	44	7	of	of	ADP
cet-3927	44	8	ant	ant	ADJ
cet-3927	44	9	colony	colony	NOUN
cet-3927	44	10	algorithm	algorithm	NOUN
cet-3927	44	11	through	through	ADP
cet-3927	44	12	the	the	DET
cet-3927	44	13	foraging	forage	VERB
cet-3927	44	14	process	process	NOUN
cet-3927	44	15	of	of	ADP
cet-3927	44	16	ants	ant	NOUN
cet-3927	44	17	.	.	PUNCT
cet-3927	45	1	x	x	X
cet-3927	46	1	ya	ya	PROPN
cet-3927	46	2	b	b	PROPN
cet-3927	46	3	c	c	PROPN
cet-3927	46	4	d	d	PROPN
cet-3927	46	5	10d	10d	NUM
cet-3927	46	6	5d	5d	NUM
cet-3927	46	7	x	x	PUNCT
cet-3927	46	8	ya	ya	PROPN
cet-3927	46	9	b	b	PROPN
cet-3927	46	10	c	c	PROPN
cet-3927	46	11	d	d	PROPN
cet-3927	46	12	10d	10d	NUM
cet-3927	46	13	5d	5d	NUM
cet-3927	46	14	x	x	PUNCT
cet-3927	46	15	ya	ya	PROPN
cet-3927	46	16	b	b	PROPN
cet-3927	46	17	c	c	PROPN
cet-3927	46	18	d	d	PROPN
cet-3927	46	19	10d	10d	NUM
cet-3927	46	20	5d	5d	PROPN
cet-3927	46	21	(	(	PUNCT
cet-3927	46	22	a	a	NOUN
cet-3927	46	23	)	)	PUNCT
cet-3927	46	24	(	(	PUNCT
cet-3927	46	25	b	b	X
cet-3927	46	26	)	)	PUNCT
cet-3927	46	27	(	(	PUNCT
cet-3927	46	28	c	c	X
cet-3927	46	29	)	)	PUNCT
cet-3927	46	30	figure	figure	NOUN
cet-3927	46	31	1	1	NUM
cet-3927	46	32	:	:	PUNCT
cet-3927	46	33	the	the	DET
cet-3927	46	34	foraging	forage	VERB
cet-3927	46	35	process	process	NOUN
cet-3927	46	36	of	of	ADP
cet-3927	46	37	ants	ant	NOUN
cet-3927	46	38	as	as	SCONJ
cet-3927	46	39	shown	show	VERB
cet-3927	46	40	in	in	ADP
cet-3927	46	41	figure	figure	NOUN
cet-3927	46	42	1	1	NUM
cet-3927	46	43	(	(	PUNCT
cet-3927	46	44	a	a	X
cet-3927	46	45	)	)	PUNCT
cet-3927	46	46	,	,	PUNCT
cet-3927	46	47	suppose	suppose	VERB
cet-3927	46	48	that	that	SCONJ
cet-3927	46	49	x	x	PRON
cet-3927	46	50	is	be	AUX
cet-3927	46	51	a	a	DET
cet-3927	46	52	nest	nest	NOUN
cet-3927	46	53	,	,	PUNCT
cet-3927	46	54	y	y	PROPN
cet-3927	46	55	is	be	AUX
cet-3927	46	56	food	food	NOUN
cet-3927	46	57	,	,	PUNCT
cet-3927	46	58	cd	cd	PROPN
cet-3927	46	59	is	be	AUX
cet-3927	46	60	an	an	DET
cet-3927	46	61	obstacle	obstacle	NOUN
cet-3927	46	62	.	.	PUNCT
cet-3927	47	1	initially	initially	ADV
cet-3927	47	2	,	,	PUNCT
cet-3927	47	3	ants	ant	NOUN
cet-3927	47	4	look	look	VERB
cet-3927	47	5	for	for	ADP
cet-3927	47	6	food	food	NOUN
cet-3927	47	7	out	out	ADP
cet-3927	47	8	of	of	ADP
cet-3927	47	9	the	the	DET
cet-3927	47	10	nest	nest	NOUN
cet-3927	47	11	,	,	PUNCT
cet-3927	47	12	and	and	CCONJ
cet-3927	47	13	they	they	PRON
cet-3927	47	14	will	will	AUX
cet-3927	47	15	randomly	randomly	ADV
cet-3927	47	16	select	select	VERB
cet-3927	47	17	the	the	DET
cet-3927	47	18	acb	acb	NOUN
cet-3927	47	19	line	line	NOUN
cet-3927	47	20	and	and	CCONJ
cet-3927	47	21	adb	adb	NOUN
cet-3927	47	22	line	line	NOUN
cet-3927	47	23	.	.	PUNCT
cet-3927	48	1	as	as	SCONJ
cet-3927	48	2	shown	show	VERB
cet-3927	48	3	in	in	ADP
cet-3927	48	4	figure	figure	NOUN
cet-3927	48	5	1	1	NUM
cet-3927	48	6	(	(	PUNCT
cet-3927	48	7	b	b	NOUN
cet-3927	48	8	)	)	PUNCT
cet-3927	48	9	,	,	PUNCT
cet-3927	48	10	over	over	ADP
cet-3927	48	11	time	time	NOUN
cet-3927	48	12	,	,	PUNCT
cet-3927	48	13	the	the	DET
cet-3927	48	14	distribution	distribution	NOUN
cet-3927	48	15	of	of	ADP
cet-3927	48	16	ants	ant	NOUN
cet-3927	48	17	on	on	ADP
cet-3927	48	18	the	the	DET
cet-3927	48	19	two	two	NUM
cet-3927	48	20	routes	route	NOUN
cet-3927	48	21	will	will	AUX
cet-3927	48	22	be	be	AUX
cet-3927	48	23	more	more	ADV
cet-3927	48	24	uniform	uniform	ADJ
cet-3927	48	25	.	.	PUNCT
cet-3927	49	1	because	because	SCONJ
cet-3927	49	2	the	the	DET
cet-3927	49	3	adb	adb	PROPN
cet-3927	49	4	route	route	NOUN
cet-3927	49	5	is	be	AUX
cet-3927	49	6	shorter	short	ADJ
cet-3927	49	7	,	,	PUNCT
cet-3927	49	8	ants	ant	NOUN
cet-3927	49	9	on	on	ADP
cet-3927	49	10	the	the	DET
cet-3927	49	11	route	route	NOUN
cet-3927	49	12	come	come	VERB
cet-3927	49	13	and	and	CCONJ
cet-3927	49	14	go	go	VERB
cet-3927	49	15	faster	fast	ADV
cet-3927	49	16	,	,	PUNCT
cet-3927	49	17	leaving	leave	VERB
cet-3927	49	18	behind	behind	ADP
cet-3927	49	19	the	the	DET
cet-3927	49	20	pheromone	pheromone	NOUN
cet-3927	49	21	will	will	AUX
cet-3927	49	22	be	be	AUX
cet-3927	49	23	more	more	ADV
cet-3927	49	24	and	and	CCONJ
cet-3927	49	25	more	more	ADJ
cet-3927	49	26	.	.	PUNCT
cet-3927	50	1	after	after	ADP
cet-3927	50	2	a	a	DET
cet-3927	50	3	period	period	NOUN
cet-3927	50	4	of	of	ADP
cet-3927	50	5	time	time	NOUN
cet-3927	50	6	,	,	PUNCT
cet-3927	50	7	the	the	DET
cet-3927	50	8	ants	ant	NOUN
cet-3927	50	9	will	will	AUX
cet-3927	50	10	gradually	gradually	ADV
cet-3927	50	11	choose	choose	VERB
cet-3927	50	12	a	a	DET
cet-3927	50	13	more	more	ADJ
cet-3927	50	14	pheromone	pheromone	NOUN
cet-3927	50	15	distribution	distribution	NOUN
cet-3927	50	16	path	path	NOUN
cet-3927	50	17	.	.	PUNCT
cet-3927	51	1	as	as	SCONJ
cet-3927	51	2	shown	show	VERB
cet-3927	51	3	in	in	ADP
cet-3927	51	4	figure	figure	NOUN
cet-3927	51	5	1	1	NUM
cet-3927	51	6	(	(	PUNCT
cet-3927	51	7	c	c	NOUN
cet-3927	51	8	)	)	PUNCT
cet-3927	51	9	,	,	PUNCT
cet-3927	51	10	all	all	DET
cet-3927	51	11	the	the	DET
cet-3927	51	12	ants	ant	NOUN
cet-3927	51	13	will	will	AUX
cet-3927	51	14	eventually	eventually	ADV
cet-3927	51	15	choose	choose	VERB
cet-3927	51	16	path	path	NOUN
cet-3927	51	17	adb	adb	PROPN
cet-3927	51	18	,	,	PUNCT
cet-3927	51	19	which	which	PRON
cet-3927	51	20	is	be	AUX
cet-3927	51	21	the	the	DET
cet-3927	51	22	shortest	short	ADJ
cet-3927	51	23	path	path	NOUN
cet-3927	51	24	from	from	ADP
cet-3927	51	25	their	their	PRON
cet-3927	51	26	nest	nest	NOUN
cet-3927	51	27	to	to	ADP
cet-3927	51	28	food	food	NOUN
cet-3927	51	29	source	source	NOUN
cet-3927	51	30	.	.	PUNCT
cet-3927	52	1	2.2	2.2	NUM
cet-3927	52	2	model	model	NOUN
cet-3927	52	3	of	of	ADP
cet-3927	52	4	ant	ant	ADJ
cet-3927	52	5	colony	colony	NOUN
cet-3927	52	6	algorithm	algorithm	NOUN
cet-3927	52	7	ant	ant	ADJ
cet-3927	52	8	colony	colony	NOUN
cet-3927	52	9	algorithm	algorithm	NOUN
cet-3927	52	10	is	be	AUX
cet-3927	52	11	first	first	ADV
cet-3927	52	12	used	use	VERB
cet-3927	52	13	to	to	PART
cet-3927	52	14	solve	solve	VERB
cet-3927	52	15	the	the	DET
cet-3927	52	16	tsp	tsp	NOUN
cet-3927	52	17	problem	problem	NOUN
cet-3927	52	18	.	.	PUNCT
cet-3927	53	1	through	through	ADP
cet-3927	53	2	the	the	DET
cet-3927	53	3	tsp	tsp	NOUN
cet-3927	53	4	problem	problem	NOUN
cet-3927	53	5	,	,	PUNCT
cet-3927	53	6	we	we	PRON
cet-3927	53	7	further	far	ADV
cet-3927	53	8	analyze	analyze	VERB
cet-3927	53	9	the	the	DET
cet-3927	53	10	model	model	NOUN
cet-3927	53	11	of	of	ADP
cet-3927	53	12	ant	ant	ADJ
cet-3927	53	13	colony	colony	NOUN
cet-3927	53	14	algorithm	algorithm	NOUN
cet-3927	53	15	.	.	PUNCT
cet-3927	54	1	suppose	suppose	VERB
cet-3927	54	2	m	m	NOUN
cet-3927	54	3	is	be	AUX
cet-3927	54	4	the	the	DET
cet-3927	54	5	number	number	NOUN
cet-3927	54	6	of	of	ADP
cet-3927	54	7	ants	ant	NOUN
cet-3927	54	8	in	in	ADP
cet-3927	54	9	the	the	DET
cet-3927	54	10	ant	ant	ADJ
cet-3927	54	11	colony	colony	NOUN
cet-3927	54	12	;	;	PUNCT
cet-3927	54	13	dij	dij	PROPN
cet-3927	54	14	is	be	AUX
cet-3927	54	15	the	the	DET
cet-3927	54	16	distance	distance	NOUN
cet-3927	54	17	between	between	ADP
cet-3927	54	18	city	city	NOUN
cet-3927	54	19	i	i	PROPN
cet-3927	54	20	and	and	CCONJ
cet-3927	54	21	city	city	PROPN
cet-3927	54	22	j	j	PROPN
cet-3927	54	23	;	;	PUNCT
cet-3927	54	24	bi(t	bi(t	NOUN
cet-3927	54	25	)	)	PUNCT
cet-3927	54	26	represents	represent	VERB
cet-3927	54	27	the	the	DET
cet-3927	54	28	number	number	NOUN
cet-3927	54	29	of	of	ADP
cet-3927	54	30	ant	ant	NOUN
cet-3927	54	31	in	in	ADP
cet-3927	54	32	city	city	NOUN
cet-3927	54	33	i	i	PRON
cet-3927	54	34	in	in	ADP
cet-3927	54	35	time	time	NOUN
cet-3927	54	36	t	t	PROPN
cet-3927	54	37	;	;	PUNCT
cet-3927	54	38	ij	ij	NOUN
cet-3927	54	39	represents	represent	VERB
cet-3927	54	40	the	the	DET
cet-3927	54	41	residual	residual	ADJ
cet-3927	54	42	amount	amount	NOUN
cet-3927	54	43	of	of	ADP
cet-3927	54	44	pheromone	pheromone	NOUN
cet-3927	54	45	in	in	ADP
cet-3927	54	46	path	path	NOUN
cet-3927	54	47	(	(	PUNCT
cet-3927	54	48	i	i	PROPN
cet-3927	54	49	,	,	PUNCT
cet-3927	54	50	j	j	PROPN
cet-3927	54	51	)	)	PUNCT
cet-3927	54	52	;	;	PUNCT
cet-3927	55	1	△	△	X
cet-3927	55	2			NOUN
cet-3927	55	3	k	k	NOUN
cet-3927	55	4	ij	ij	NOUN
cet-3927	55	5	is	be	AUX
cet-3927	55	6	the	the	DET
cet-3927	55	7	amount	amount	NOUN
cet-3927	55	8	of	of	ADP
cet-3927	55	9	pheromone	pheromone	NOUN
cet-3927	55	10	released	release	VERB
cet-3927	55	11	by	by	ADP
cet-3927	55	12	the	the	DET
cet-3927	55	13	k	k	PROPN
cet-3927	55	14	th	th	X
cet-3927	55	15	ant	ant	NOUN
cet-3927	55	16	on	on	ADP
cet-3927	55	17	the	the	DET
cet-3927	55	18	path	path	NOUN
cet-3927	55	19	(	(	PUNCT
cet-3927	55	20	i	i	PROPN
cet-3927	55	21	,	,	PUNCT
cet-3927	55	22	j	j	PROPN
cet-3927	55	23	)	)	PUNCT
cet-3927	55	24	;	;	PUNCT
cet-3927	55	25	((0,1	((0,1	NOUN
cet-3927	55	26	)	)	PUNCT
cet-3927	55	27	)	)	PUNCT
cet-3927	55	28	indicates	indicate	VERB
cet-3927	55	29	the	the	DET
cet-3927	55	30	degree	degree	NOUN
cet-3927	55	31	of	of	ADP
cet-3927	55	32	volatilization	volatilization	NOUN
cet-3927	55	33	in	in	ADP
cet-3927	55	34	the	the	DET
cet-3927	55	35	unit	unit	NOUN
cet-3927	55	36	time	time	NOUN
cet-3927	55	37	of	of	ADP
cet-3927	55	38	residual	residual	ADJ
cet-3927	55	39	pheromone	pheromone	NOUN
cet-3927	55	40	;	;	PUNCT
cet-3927	55	41	ij	ij	ADJ
cet-3927	55	42	represents	represent	VERB
cet-3927	55	43	heuristic	heuristic	ADJ
cet-3927	55	44	information	information	NOUN
cet-3927	55	45	of	of	ADP
cet-3927	55	46	path	path	NOUN
cet-3927	55	47	(	(	PUNCT
cet-3927	55	48	i	i	PROPN
cet-3927	55	49	,	,	PUNCT
cet-3927	55	50	j	j	PROPN
cet-3927	55	51	)	)	PUNCT
cet-3927	55	52	,	,	PUNCT
cet-3927	55	53	general	general	ADJ
cet-3927	55	54	ij=1	ij=1	NOUN
cet-3927	55	55	/	/	SYM
cet-3927	55	56	dij	dij	PROPN
cet-3927	55	57	;	;	PUNCT
cet-3927	55	58			PRON
cet-3927	55	59	represents	represent	VERB
cet-3927	55	60	the	the	DET
cet-3927	55	61	weight	weight	NOUN
cet-3927	55	62	of	of	ADP
cet-3927	55	63	the	the	DET
cet-3927	55	64	pheromone	pheromone	NOUN
cet-3927	55	65	,	,	PUNCT
cet-3927	55	66			PROPN
cet-3927	55	67	represents	represent	VERB
cet-3927	55	68	the	the	DET
cet-3927	55	69	weight	weight	NOUN
cet-3927	55	70	of	of	ADP
cet-3927	55	71	the	the	DET
cet-3927	55	72	heuristic	heuristic	ADJ
cet-3927	55	73	information	information	NOUN
cet-3927	55	74	,	,	PUNCT
cet-3927	55	75	tabuk	tabuk	NOUN
cet-3927	55	76	records	record	VERB
cet-3927	55	77	the	the	DET
cet-3927	55	78	cities	city	NOUN
cet-3927	55	79	ant	ant	NOUN
cet-3927	55	80	k	k	PROPN
cet-3927	55	81	has	have	AUX
cet-3927	55	82	passed	pass	VERB
cet-3927	55	83	by	by	ADP
cet-3927	55	84	;	;	PUNCT
cet-3927	55	85	allowedk	allowedk	NOUN
cet-3927	55	86	represents	represent	VERB
cet-3927	55	87	the	the	DET
cet-3927	55	88	next	next	ADJ
cet-3927	55	89	city	city	NOUN
cet-3927	55	90	location	location	NOUN
cet-3927	55	91	of	of	ADP
cet-3927	55	92	the	the	DET
cet-3927	55	93	ant	ant	ADJ
cet-3927	55	94	k	k	PROPN
cet-3927	55	95	selection	selection	NOUN
cet-3927	55	96	;	;	PUNCT
cet-3927	55	97	lk	lk	PROPN
cet-3927	55	98	represents	represent	VERB
cet-3927	55	99	the	the	DET
cet-3927	55	100	distance	distance	NOUN
cet-3927	55	101	the	the	DET
cet-3927	55	102	ant	ant	NOUN
cet-3927	55	103	k	k	PROPN
cet-3927	55	104	has	have	AUX
cet-3927	55	105	walking	walk	VERB
cet-3927	55	106	by	by	ADP
cet-3927	55	107	;	;	PUNCT
cet-3927	55	108	p	p	PROPN
cet-3927	55	109	k	k	PROPN
cet-3927	55	110	ij	ij	NOUN
cet-3927	55	111	represents	represent	VERB
cet-3927	55	112	the	the	DET
cet-3927	55	113	choice	choice	NOUN
cet-3927	55	114	probability	probability	NOUN
cet-3927	55	115	of	of	ADP
cet-3927	55	116	ant	ant	NOUN
cet-3927	55	117	k	k	PROPN
cet-3927	55	118	transferred	transfer	VERB
cet-3927	55	119	from	from	ADP
cet-3927	55	120	position	position	NOUN
cet-3927	55	121	i	i	PRON
cet-3927	55	122	to	to	PART
cet-3927	55	123	position	position	VERB
cet-3927	55	124	j.	j.	PROPN
cet-3927	55	125	[	[	PUNCT
cet-3927	55	126	(	(	PUNCT
cet-3927	55	127	)	)	PUNCT
cet-3927	55	128	]	]	PUNCT
cet-3927	56	1	[	[	PUNCT
cet-3927	56	2	(	(	PUNCT
cet-3927	56	3	)	)	PUNCT
cet-3927	56	4	]	]	PUNCT
cet-3927	56	5	[	[	PUNCT
cet-3927	56	6	(	(	PUNCT
cet-3927	56	7	)	)	PUNCT
cet-3927	56	8	]	]	PUNCT
cet-3927	56	9	[	[	PUNCT
cet-3927	56	10	(	(	PUNCT
cet-3927	56	11	)	)	PUNCT
cet-3927	56	12	]	]	PUNCT
cet-3927	56	13	(	(	PUNCT
cet-3927	56	14	)	)	PUNCT
cet-3927	56	15	0	0	NUM
cet-3927	57	1	k	k	NOUN
cet-3927	58	1	ij	ij	INTJ
cet-3927	58	2	ij	ij	INTJ
cet-3927	59	1	k	k	PROPN
cet-3927	59	2	k	k	PROPN
cet-3927	59	3	is	be	AUX
cet-3927	59	4	is	be	AUX
cet-3927	59	5	ij	ij	NOUN
cet-3927	59	6	s	s	AUX
cet-3927	59	7	allowed	allow	VERB
cet-3927	59	8	k	k	PROPN
cet-3927	59	9	t	t	PROPN
cet-3927	59	10	t	t	PROPN
cet-3927	59	11	j	j	PROPN
cet-3927	59	12	allowed	allow	VERB
cet-3927	59	13	t	t	PROPN
cet-3927	59	14	tp	tp	PROPN
cet-3927	59	15	t	t	PROPN
cet-3927	59	16	j	j	PROPN
cet-3927	59	17	allowed	allow	VERB
cet-3927	59	18			X
cet-3927	59	19			PROPN
cet-3927	59	20			NOUN
cet-3927	59	21			PROPN
cet-3927	59	22			NOUN
cet-3927	59	23			AUX
cet-3927	59	24			PROPN
cet-3927	59	25			NUM
cet-3927	59	26			NOUN
cet-3927	59	27			ADP
cet-3927	59	28			X
cet-3927	60	1			NUM
cet-3927	60	2			NUM
cet-3927	60	3			NUM
cet-3927	60	4			X
cet-3927	60	5			X
cet-3927	60	6	(	(	PUNCT
cet-3927	60	7	1	1	X
cet-3927	60	8	)	)	PUNCT
cet-3927	60	9	374	374	NUM
cet-3927	60	10	if	if	SCONJ
cet-3927	60	11	ants	ant	NOUN
cet-3927	60	12	complete	complete	VERB
cet-3927	60	13	a	a	DET
cet-3927	60	14	traversal	traversal	NOUN
cet-3927	60	15	,	,	PUNCT
cet-3927	60	16	that	that	ADV
cet-3927	60	17	is	is	ADV
cet-3927	60	18	,	,	PUNCT
cet-3927	60	19	the	the	DET
cet-3927	60	20	ants	ant	NOUN
cet-3927	60	21	find	find	VERB
cet-3927	60	22	a	a	DET
cet-3927	60	23	traversal	traversal	NOUN
cet-3927	60	24	of	of	ADP
cet-3927	60	25	all	all	DET
cet-3927	60	26	the	the	DET
cet-3927	60	27	cities	city	NOUN
cet-3927	60	28	,	,	PUNCT
cet-3927	60	29	the	the	DET
cet-3927	60	30	pheromone	pheromone	NOUN
cet-3927	60	31	update	update	NOUN
cet-3927	60	32	on	on	ADP
cet-3927	60	33	each	each	DET
cet-3927	60	34	path	path	NOUN
cet-3927	60	35	according	accord	VERB
cet-3927	60	36	to	to	ADP
cet-3927	60	37	the	the	DET
cet-3927	60	38	formula	formula	NOUN
cet-3927	60	39	2	2	NUM
cet-3927	60	40	.	.	SYM
cet-3927	60	41	1	1	NUM
cet-3927	60	42	(	(	PUNCT
cet-3927	60	43	)	)	PUNCT
cet-3927	60	44	(	(	PUNCT
cet-3927	60	45	1	1	X
cet-3927	60	46	)	)	PUNCT
cet-3927	60	47	(	(	PUNCT
cet-3927	60	48	)	)	PUNCT
cet-3927	60	49	,	,	PUNCT
cet-3927	60	50	m	m	VERB
cet-3927	60	51	k	k	X
cet-3927	61	1	ij	ij	INTJ
cet-3927	61	2	ij	ij	INTJ
cet-3927	61	3	ij	ij	INTJ
cet-3927	61	4	ij	ij	INTJ
cet-3927	61	5	ij	ij	INTJ
cet-3927	61	6	k	k	PROPN
cet-3927	61	7	t	t	PROPN
cet-3927	61	8	n	n	CCONJ
cet-3927	61	9	t	t	PROPN
cet-3927	61	10			NOUN
cet-3927	61	11			NOUN
cet-3927	61	12			NOUN
cet-3927	61	13			NOUN
cet-3927	61	14			NOUN
cet-3927	61	15			PROPN
cet-3927	61	16			PUNCT
cet-3927	61	17			NUM
cet-3927	61	18			PROPN
cet-3927	61	19			PROPN
cet-3927	61	20			PUNCT
cet-3927	62	1			PROPN
cet-3927	62	2			NOUN
cet-3927	62	3	(	(	PUNCT
cet-3927	62	4	2	2	NUM
cet-3927	62	5	)	)	PUNCT
cet-3927	62	6	in	in	ADP
cet-3927	62	7	ant	ant	ADJ
cet-3927	62	8	colony	colony	NOUN
cet-3927	62	9	algorithm	algorithm	NOUN
cet-3927	62	10	,	,	PUNCT
cet-3927	62	11	the	the	DET
cet-3927	62	12	update	update	NOUN
cet-3927	62	13	strategy	strategy	NOUN
cet-3927	62	14	of	of	ADP
cet-3927	62	15	pheromone	pheromone	NOUN
cet-3927	62	16	is	be	AUX
cet-3927	62	17	directly	directly	ADV
cet-3927	62	18	related	relate	VERB
cet-3927	62	19	to	to	ADP
cet-3927	62	20	the	the	DET
cet-3927	62	21	efficiency	efficiency	NOUN
cet-3927	62	22	and	and	CCONJ
cet-3927	62	23	success	success	NOUN
cet-3927	62	24	of	of	ADP
cet-3927	62	25	the	the	DET
cet-3927	62	26	algorithm	algorithm	NOUN
cet-3927	62	27	,	,	PUNCT
cet-3927	62	28	and	and	CCONJ
cet-3927	62	29	update	update	VERB
cet-3927	62	30	strategy	strategy	NOUN
cet-3927	62	31	of	of	ADP
cet-3927	62	32	pheromone	pheromone	NOUN
cet-3927	62	33	will	will	AUX
cet-3927	62	34	be	be	AUX
cet-3927	62	35	chosen	choose	VERB
cet-3927	62	36	based	base	VERB
cet-3927	62	37	on	on	ADP
cet-3927	62	38	the	the	DET
cet-3927	62	39	characteristics	characteristic	NOUN
cet-3927	62	40	of	of	ADP
cet-3927	62	41	the	the	DET
cet-3927	62	42	problem	problem	NOUN
cet-3927	62	43	to	to	PART
cet-3927	62	44	be	be	AUX
cet-3927	62	45	solved	solve	VERB
cet-3927	62	46	.	.	PUNCT
cet-3927	63	1	some	some	DET
cet-3927	63	2	scholars	scholar	NOUN
cet-3927	63	3	proposed	propose	VERB
cet-3927	63	4	three	three	NUM
cet-3927	63	5	different	different	ADJ
cet-3927	63	6	basic	basic	ADJ
cet-3927	63	7	ant	ant	ADJ
cet-3927	63	8	colony	colony	NOUN
cet-3927	63	9	algorithm	algorithm	NOUN
cet-3927	63	10	models	model	NOUN
cet-3927	63	11	:	:	PUNCT
cet-3927	63	12	ant	ant	ADJ
cet-3927	63	13	-	-	PUNCT
cet-3927	63	14	quantity	quantity	NOUN
cet-3927	63	15	system	system	NOUN
cet-3927	63	16	,	,	PUNCT
cet-3927	63	17	ant	ant	ADJ
cet-3927	63	18	-	-	PUNCT
cet-3927	63	19	density	density	NOUN
cet-3927	63	20	system	system	NOUN
cet-3927	63	21	,	,	PUNCT
cet-3927	63	22	and	and	CCONJ
cet-3927	63	23	ant	ant	ADJ
cet-3927	63	24	-	-	PUNCT
cet-3927	63	25	cycle	cycle	NOUN
cet-3927	63	26	system	system	NOUN
cet-3927	63	27	.	.	PUNCT
cet-3927	64	1	figure	figure	NOUN
cet-3927	64	2	2	2	NUM
cet-3927	64	3	is	be	AUX
cet-3927	64	4	the	the	DET
cet-3927	64	5	basic	basic	ADJ
cet-3927	64	6	framework	framework	NOUN
cet-3927	64	7	of	of	ADP
cet-3927	64	8	ant	ant	ADJ
cet-3927	64	9	colony	colony	NOUN
cet-3927	64	10	algorithm	algorithm	NOUN
cet-3927	64	11	.	.	PUNCT
cet-3927	65	1	initialization	initialization	PROPN
cet-3927	65	2	parameter	parameter	PROPN
cet-3927	65	3	start	start	VERB
cet-3927	65	4	end	end	VERB
cet-3927	65	5	constructing	construct	VERB
cet-3927	65	6	colution	colution	NOUN
cet-3927	65	7	space	space	NOUN
cet-3927	65	8	updating	update	VERB
cet-3927	65	9	pheromone	pheromone	NOUN
cet-3927	65	10	number	number	NOUN
cet-3927	65	11	of	of	ADP
cet-3927	65	12	iterations	iteration	NOUN
cet-3927	65	13	plus	plus	CCONJ
cet-3927	65	14	one	one	NUM
cet-3927	65	15	outputing	output	VERB
cet-3927	65	16	optimal	optimal	ADJ
cet-3927	65	17	solution	solution	NOUN
cet-3927	65	18	maximum	maximum	ADJ
cet-3927	65	19	number	number	NOUN
cet-3927	65	20	of	of	ADP
cet-3927	65	21	iterations	iteration	NOUN
cet-3927	65	22	y	y	PROPN
cet-3927	65	23	n	n	PRON
cet-3927	65	24	figure	figure	VERB
cet-3927	65	25	2	2	NUM
cet-3927	65	26	:	:	PUNCT
cet-3927	65	27	the	the	DET
cet-3927	65	28	basic	basic	ADJ
cet-3927	65	29	framework	framework	NOUN
cet-3927	65	30	of	of	ADP
cet-3927	65	31	ant	ant	ADJ
cet-3927	65	32	colony	colony	NOUN
cet-3927	65	33	algorithm	algorithm	NOUN
cet-3927	65	34	3	3	NUM
cet-3927	65	35	.	.	PUNCT
cet-3927	65	36	uniform	uniform	ADJ
cet-3927	65	37	discrete	discrete	ADJ
cet-3927	65	38	process	process	NOUN
cet-3927	65	39	optimization	optimization	NOUN
cet-3927	65	40	based	base	VERB
cet-3927	65	41	aca	aca	PROPN
cet-3927	65	42	uniform	uniform	PROPN
cet-3927	65	43	design	design	PROPN
cet-3927	65	44	is	be	AUX
cet-3927	65	45	an	an	DET
cet-3927	65	46	experimental	experimental	ADJ
cet-3927	65	47	design	design	NOUN
cet-3927	65	48	method	method	NOUN
cet-3927	65	49	.	.	PUNCT
cet-3927	66	1	uniform	uniform	PROPN
cet-3927	66	2	design	design	PROPN
cet-3927	66	3	only	only	ADV
cet-3927	66	4	considers	consider	VERB
cet-3927	66	5	the	the	DET
cet-3927	66	6	uniform	uniform	ADJ
cet-3927	66	7	dispersion	dispersion	NOUN
cet-3927	66	8	of	of	ADP
cet-3927	66	9	the	the	DET
cet-3927	66	10	test	test	NOUN
cet-3927	66	11	point	point	NOUN
cet-3927	66	12	in	in	ADP
cet-3927	66	13	the	the	DET
cet-3927	66	14	experimental	experimental	ADJ
cet-3927	66	15	range	range	NOUN
cet-3927	66	16	,	,	PUNCT
cet-3927	66	17	the	the	DET
cet-3927	66	18	selection	selection	NOUN
cet-3927	66	19	of	of	ADP
cet-3927	66	20	the	the	DET
cet-3927	66	21	starting	starting	NOUN
cet-3927	66	22	point	point	NOUN
cet-3927	66	23	of	of	ADP
cet-3927	66	24	the	the	DET
cet-3927	66	25	representative	representative	ADJ
cet-3927	66	26	point	point	NOUN
cet-3927	66	27	is	be	AUX
cet-3927	66	28	evenly	evenly	ADV
cet-3927	66	29	dispersed	disperse	VERB
cet-3927	66	30	,	,	PUNCT
cet-3927	66	31	without	without	ADP
cet-3927	66	32	considering	consider	VERB
cet-3927	66	33	the	the	DET
cet-3927	66	34	uniformity	uniformity	NOUN
cet-3927	66	35	ratio	ratio	NOUN
cet-3927	66	36	.	.	PUNCT
cet-3927	67	1	using	use	VERB
cet-3927	67	2	uniform	uniform	ADJ
cet-3927	67	3	discrete	discrete	ADJ
cet-3927	67	4	process	process	NOUN
cet-3927	67	5	optimization	optimization	NOUN
cet-3927	67	6	based	base	VERB
cet-3927	67	7	ant	ant	ADJ
cet-3927	67	8	colony	colony	NOUN
cet-3927	67	9	algorithm	algorithm	NOUN
cet-3927	67	10	to	to	PART
cet-3927	67	11	solve	solve	VERB
cet-3927	67	12	the	the	DET
cet-3927	67	13	tsp	tsp	NOUN
cet-3927	67	14	problem	problem	NOUN
cet-3927	67	15	,	,	PUNCT
cet-3927	67	16	we	we	PRON
cet-3927	67	17	first	first	ADV
cet-3927	67	18	build	build	VERB
cet-3927	67	19	a	a	DET
cet-3927	67	20	uniform	uniform	ADJ
cet-3927	67	21	discrete	discrete	ADJ
cet-3927	67	22	process	process	NOUN
cet-3927	67	23	,	,	PUNCT
cet-3927	67	24	which	which	PRON
cet-3927	67	25	can	can	AUX
cet-3927	67	26	form	form	VERB
cet-3927	67	27	the	the	DET
cet-3927	67	28	deeply	deeply	ADV
cet-3927	67	29	uniform	uniform	ADJ
cet-3927	67	30	discrete	discrete	ADJ
cet-3927	67	31	sub	sub	NOUN
cet-3927	67	32	population	population	NOUN
cet-3927	67	33	search	search	NOUN
cet-3927	67	34	map	map	NOUN
cet-3927	67	35	and	and	CCONJ
cet-3927	67	36	globally	globally	ADV
cet-3927	67	37	uniform	uniform	ADJ
cet-3927	67	38	discrete	discrete	ADJ
cet-3927	67	39	search	search	NOUN
cet-3927	67	40	map	map	NOUN
cet-3927	67	41	.	.	PUNCT
cet-3927	68	1	secondly	secondly	ADV
cet-3927	68	2	,	,	PUNCT
cet-3927	68	3	in	in	ADP
cet-3927	68	4	each	each	DET
cet-3927	68	5	sub	sub	NOUN
cet-3927	68	6	population	population	NOUN
cet-3927	68	7	,	,	PUNCT
cet-3927	68	8	we	we	PRON
cet-3927	68	9	implement	implement	VERB
cet-3927	68	10	the	the	DET
cet-3927	68	11	deeply	deeply	ADV
cet-3927	68	12	uniform	uniform	ADJ
cet-3927	68	13	discrete	discrete	ADJ
cet-3927	68	14	search	search	NOUN
cet-3927	68	15	,	,	PUNCT
cet-3927	68	16	that	that	ADV
cet-3927	68	17	is	is	ADV
cet-3927	68	18	,	,	PUNCT
cet-3927	68	19	the	the	DET
cet-3927	68	20	repeated	repeat	VERB
cet-3927	68	21	uniform	uniform	ADJ
cet-3927	68	22	discrete	discrete	ADJ
cet-3927	68	23	search	search	NOUN
cet-3927	68	24	.	.	PUNCT
cet-3927	69	1	we	we	PRON
cet-3927	69	2	judge	judge	VERB
cet-3927	69	3	the	the	DET
cet-3927	69	4	change	change	NOUN
cet-3927	69	5	tendency	tendency	NOUN
cet-3927	69	6	of	of	ADP
cet-3927	69	7	the	the	DET
cet-3927	69	8	objective	objective	ADJ
cet-3927	69	9	function	function	NOUN
cet-3927	69	10	value	value	NOUN
cet-3927	69	11	,	,	PUNCT
cet-3927	69	12	and	and	CCONJ
cet-3927	69	13	then	then	ADV
cet-3927	69	14	seek	seek	VERB
cet-3927	69	15	the	the	DET
cet-3927	69	16	extreme	extreme	NOUN
cet-3927	69	17	to	to	PART
cet-3927	69	18	obtain	obtain	VERB
cet-3927	69	19	the	the	DET
cet-3927	69	20	local	local	ADJ
cet-3927	69	21	optimal	optimal	ADJ
cet-3927	69	22	solution	solution	NOUN
cet-3927	69	23	of	of	ADP
cet-3927	69	24	the	the	DET
cet-3927	69	25	sub	sub	NOUN
cet-3927	69	26	population	population	NOUN
cet-3927	69	27	.	.	PUNCT
cet-3927	70	1	finally	finally	ADV
cet-3927	70	2	,	,	PUNCT
cet-3927	70	3	we	we	PRON
cet-3927	70	4	put	put	VERB
cet-3927	70	5	the	the	DET
cet-3927	70	6	local	local	ADJ
cet-3927	70	7	optimal	optimal	ADJ
cet-3927	70	8	solution	solution	NOUN
cet-3927	70	9	of	of	ADP
cet-3927	70	10	each	each	DET
cet-3927	70	11	sub	sub	NOUN
cet-3927	70	12	population	population	NOUN
cet-3927	70	13	association	association	NOUN
cet-3927	70	14	into	into	ADP
cet-3927	70	15	the	the	DET
cet-3927	70	16	global	global	ADJ
cet-3927	70	17	space	space	NOUN
cet-3927	70	18	uniform	uniform	NOUN
cet-3927	70	19	discrete	discrete	VERB
cet-3927	70	20	node	node	ADJ
cet-3927	70	21	path	path	NOUN
cet-3927	70	22	,	,	PUNCT
cet-3927	70	23	and	and	CCONJ
cet-3927	70	24	then	then	ADV
cet-3927	70	25	carry	carry	VERB
cet-3927	70	26	on	on	ADP
cet-3927	70	27	the	the	DET
cet-3927	70	28	global	global	ADJ
cet-3927	70	29	uniform	uniform	ADJ
cet-3927	70	30	discrete	discrete	ADJ
cet-3927	70	31	search	search	NOUN
cet-3927	70	32	to	to	PART
cet-3927	70	33	find	find	VERB
cet-3927	70	34	out	out	ADP
cet-3927	70	35	the	the	DET
cet-3927	70	36	optimal	optimal	ADJ
cet-3927	70	37	solution	solution	NOUN
cet-3927	70	38	of	of	ADP
cet-3927	70	39	objective	objective	ADJ
cet-3927	70	40	function	function	NOUN
cet-3927	70	41	.	.	PUNCT
cet-3927	71	1	4	4	X
cet-3927	71	2	.	.	X
cet-3927	71	3	genetic	genetic	ADJ
cet-3927	71	4	algorithm	algorithm	NOUN
cet-3927	71	5	genetic	genetic	ADJ
cet-3927	71	6	algorithm	algorithm	NOUN
cet-3927	71	7	is	be	AUX
cet-3927	71	8	a	a	DET
cet-3927	71	9	random	random	ADJ
cet-3927	71	10	search	search	NOUN
cet-3927	71	11	algorithm	algorithm	NOUN
cet-3927	71	12	,	,	PUNCT
cet-3927	71	13	which	which	PRON
cet-3927	71	14	introduces	introduce	VERB
cet-3927	71	15	biological	biological	ADJ
cet-3927	71	16	evolution	evolution	NOUN
cet-3927	71	17	into	into	ADP
cet-3927	71	18	the	the	DET
cet-3927	71	19	mathematical	mathematical	ADJ
cet-3927	71	20	model	model	NOUN
cet-3927	71	21	,	,	PUNCT
cet-3927	71	22	and	and	CCONJ
cet-3927	71	23	has	have	VERB
cet-3927	71	24	a	a	DET
cet-3927	71	25	global	global	ADJ
cet-3927	71	26	and	and	CCONJ
cet-3927	71	27	strong	strong	ADJ
cet-3927	71	28	robustness	robustness	NOUN
cet-3927	71	29	.	.	PUNCT
cet-3927	72	1	the	the	DET
cet-3927	72	2	general	general	ADJ
cet-3927	72	3	genetic	genetic	ADJ
cet-3927	72	4	algorithm	algorithm	NOUN
cet-3927	72	5	consists	consist	VERB
cet-3927	72	6	of	of	ADP
cet-3927	72	7	4	4	NUM
cet-3927	72	8	parts	part	NOUN
cet-3927	72	9	:	:	PUNCT
cet-3927	72	10	the	the	DET
cet-3927	72	11	coding	code	VERB
cet-3927	72	12	mechanism	mechanism	NOUN
cet-3927	72	13	,	,	PUNCT
cet-3927	72	14	the	the	DET
cet-3927	72	15	control	control	NOUN
cet-3927	72	16	parameter	parameter	NOUN
cet-3927	72	17	,	,	PUNCT
cet-3927	72	18	the	the	DET
cet-3927	72	19	fitness	fitness	NOUN
cet-3927	72	20	function	function	NOUN
cet-3927	72	21	and	and	CCONJ
cet-3927	72	22	the	the	DET
cet-3927	72	23	genetic	genetic	ADJ
cet-3927	72	24	operator	operator	NOUN
cet-3927	72	25	.	.	PUNCT
cet-3927	73	1	according	accord	VERB
cet-3927	73	2	to	to	ADP
cet-3927	73	3	the	the	DET
cet-3927	73	4	375	375	NUM
cet-3927	73	5	characteristics	characteristic	NOUN
cet-3927	73	6	of	of	ADP
cet-3927	73	7	global	global	ADJ
cet-3927	73	8	search	search	NOUN
cet-3927	73	9	capability	capability	NOUN
cet-3927	73	10	of	of	ADP
cet-3927	73	11	genetic	genetic	ADJ
cet-3927	73	12	algorithm	algorithm	NOUN
cet-3927	73	13	,	,	PUNCT
cet-3927	73	14	this	this	DET
cet-3927	73	15	paper	paper	NOUN
cet-3927	73	16	applies	apply	VERB
cet-3927	73	17	the	the	DET
cet-3927	73	18	idea	idea	NOUN
cet-3927	73	19	of	of	ADP
cet-3927	73	20	genetic	genetic	ADJ
cet-3927	73	21	algorithm	algorithm	NOUN
cet-3927	73	22	in	in	ADP
cet-3927	73	23	ant	ant	ADJ
cet-3927	73	24	colony	colony	NOUN
cet-3927	73	25	algorithm	algorithm	NOUN
cet-3927	73	26	,	,	PUNCT
cet-3927	73	27	which	which	PRON
cet-3927	73	28	strengthens	strengthen	VERB
cet-3927	73	29	the	the	DET
cet-3927	73	30	search	search	NOUN
cet-3927	73	31	ability	ability	NOUN
cet-3927	73	32	of	of	ADP
cet-3927	73	33	ant	ant	ADJ
cet-3927	73	34	colony	colony	NOUN
cet-3927	73	35	algorithm	algorithm	NOUN
cet-3927	73	36	,	,	PUNCT
cet-3927	73	37	and	and	CCONJ
cet-3927	73	38	avoids	avoid	VERB
cet-3927	73	39	the	the	DET
cet-3927	73	40	premature	premature	ADJ
cet-3927	73	41	convergence	convergence	NOUN
cet-3927	73	42	.	.	PUNCT
cet-3927	74	1	5	5	X
cet-3927	74	2	.	.	X
cet-3927	74	3	improvement	improvement	NOUN
cet-3927	74	4	and	and	CCONJ
cet-3927	74	5	implementation	implementation	NOUN
cet-3927	74	6	of	of	ADP
cet-3927	74	7	algorithm	algorithm	NOUN
cet-3927	74	8	in	in	ADP
cet-3927	74	9	this	this	DET
cet-3927	74	10	paper	paper	NOUN
cet-3927	74	11	,	,	PUNCT
cet-3927	74	12	the	the	DET
cet-3927	74	13	improved	improved	ADJ
cet-3927	74	14	algorithm	algorithm	NOUN
cet-3927	74	15	combines	combine	VERB
cet-3927	74	16	the	the	DET
cet-3927	74	17	advantages	advantage	NOUN
cet-3927	74	18	of	of	ADP
cet-3927	74	19	fast	fast	ADJ
cet-3927	74	20	discrete	discrete	ADJ
cet-3927	74	21	search	search	NOUN
cet-3927	74	22	based	base	VERB
cet-3927	74	23	on	on	ADP
cet-3927	74	24	uniform	uniform	NOUN
cet-3927	74	25	discrete	discrete	ADJ
cet-3927	74	26	and	and	CCONJ
cet-3927	74	27	the	the	DET
cet-3927	74	28	global	global	ADJ
cet-3927	74	29	search	search	NOUN
cet-3927	74	30	capability	capability	NOUN
cet-3927	74	31	of	of	ADP
cet-3927	74	32	genetic	genetic	ADJ
cet-3927	74	33	algorithm	algorithm	NOUN
cet-3927	74	34	.	.	PUNCT
cet-3927	75	1	the	the	DET
cet-3927	75	2	improved	improve	VERB
cet-3927	75	3	ant	ant	ADJ
cet-3927	75	4	colony	colony	NOUN
cet-3927	75	5	algorithm	algorithm	NOUN
cet-3927	75	6	not	not	PART
cet-3927	75	7	only	only	ADV
cet-3927	75	8	has	have	VERB
cet-3927	75	9	fast	fast	ADJ
cet-3927	75	10	convergence	convergence	NOUN
cet-3927	75	11	rate	rate	NOUN
cet-3927	75	12	,	,	PUNCT
cet-3927	75	13	but	but	CCONJ
cet-3927	75	14	also	also	ADV
cet-3927	75	15	avoids	avoid	VERB
cet-3927	75	16	the	the	DET
cet-3927	75	17	defects	defect	NOUN
cet-3927	75	18	of	of	ADP
cet-3927	75	19	fast	fast	ADJ
cet-3927	75	20	convergence	convergence	NOUN
cet-3927	75	21	that	that	PRON
cet-3927	75	22	is	be	AUX
cet-3927	75	23	easy	easy	ADJ
cet-3927	75	24	to	to	PART
cet-3927	75	25	fall	fall	VERB
cet-3927	75	26	into	into	ADP
cet-3927	75	27	local	local	ADJ
cet-3927	75	28	optimum	optimum	NOUN
cet-3927	75	29	in	in	ADP
cet-3927	75	30	solving	solve	VERB
cet-3927	75	31	tsp	tsp	NOUN
cet-3927	75	32	problem	problem	NOUN
cet-3927	75	33	.	.	PUNCT
cet-3927	76	1	1	1	NUM
cet-3927	76	2	)	)	PUNCT
cet-3927	76	3	first	first	ADV
cet-3927	76	4	,	,	PUNCT
cet-3927	76	5	ants	ant	NOUN
cet-3927	76	6	are	be	AUX
cet-3927	76	7	distributed	distribute	VERB
cet-3927	76	8	in	in	ADP
cet-3927	76	9	the	the	DET
cet-3927	76	10	solution	solution	NOUN
cet-3927	76	11	space	space	NOUN
cet-3927	76	12	according	accord	VERB
cet-3927	76	13	to	to	ADP
cet-3927	76	14	the	the	DET
cet-3927	76	15	uniform	uniform	ADJ
cet-3927	76	16	discretization	discretization	NOUN
cet-3927	76	17	method	method	NOUN
cet-3927	76	18	,	,	PUNCT
cet-3927	76	19	and	and	CCONJ
cet-3927	76	20	we	we	PRON
cet-3927	76	21	record	record	VERB
cet-3927	76	22	the	the	DET
cet-3927	76	23	coordinates	coordinate	NOUN
cet-3927	76	24	of	of	ADP
cet-3927	76	25	ants	ant	NOUN
cet-3927	76	26	in	in	ADP
cet-3927	76	27	the	the	DET
cet-3927	76	28	problem	problem	NOUN
cet-3927	76	29	space	space	NOUN
cet-3927	76	30	position	position	NOUN
cet-3927	76	31	at	at	ADP
cet-3927	76	32	a	a	DET
cet-3927	76	33	fixed	fix	VERB
cet-3927	76	34	time	time	NOUN
cet-3927	76	35	.	.	PUNCT
cet-3927	77	1	2	2	NUM
cet-3927	77	2	)	)	PUNCT
cet-3927	77	3	second	second	ADJ
cet-3927	77	4	,	,	PUNCT
cet-3927	77	5	the	the	DET
cet-3927	77	6	pheromone	pheromone	NOUN
cet-3927	77	7	value	value	NOUN
cet-3927	77	8	on	on	ADP
cet-3927	77	9	each	each	DET
cet-3927	77	10	path	path	NOUN
cet-3927	77	11	is	be	AUX
cet-3927	77	12	not	not	PART
cet-3927	77	13	unlimited	unlimited	ADJ
cet-3927	77	14	,	,	PUNCT
cet-3927	77	15	but	but	CCONJ
cet-3927	77	16	gives	give	VERB
cet-3927	77	17	it	it	PRON
cet-3927	77	18	a	a	DET
cet-3927	77	19	range	range	NOUN
cet-3927	77	20	[	[	X
cet-3927	77	21	min,max	min,max	ADV
cet-3927	77	22	]	]	X
cet-3927	77	23	.	.	PUNCT
cet-3927	78	1	in	in	ADP
cet-3927	78	2	this	this	DET
cet-3927	78	3	way	way	NOUN
cet-3927	78	4	,	,	PUNCT
cet-3927	78	5	we	we	PRON
cet-3927	78	6	can	can	AUX
cet-3927	78	7	prevent	prevent	VERB
cet-3927	78	8	the	the	DET
cet-3927	78	9	colony	colony	NOUN
cet-3927	78	10	from	from	ADP
cet-3927	78	11	falling	fall	VERB
cet-3927	78	12	into	into	ADP
cet-3927	78	13	local	local	ADJ
cet-3927	78	14	convergence	convergence	NOUN
cet-3927	78	15	which	which	PRON
cet-3927	78	16	is	be	AUX
cet-3927	78	17	caused	cause	VERB
cet-3927	78	18	by	by	ADP
cet-3927	78	19	an	an	DET
cet-3927	78	20	increase	increase	NOUN
cet-3927	78	21	in	in	ADP
cet-3927	78	22	the	the	DET
cet-3927	78	23	local	local	ADJ
cet-3927	78	24	pheromone	pheromone	NOUN
cet-3927	78	25	.	.	PUNCT
cet-3927	79	1	3	3	X
cet-3927	79	2	)	)	PUNCT
cet-3927	79	3	global	global	ADJ
cet-3927	79	4	pheromone	pheromone	NOUN
cet-3927	79	5	update	update	NOUN
cet-3927	79	6	(	(	PUNCT
cet-3927	79	7	1	1	NUM
cet-3927	79	8	)	)	PUNCT
cet-3927	79	9	(	(	PUNCT
cet-3927	79	10	t)+ij	t)+ij	NOUN
cet-3927	79	11	ij	ij	X
cet-3927	79	12	q	q	PROPN
cet-3927	79	13			ADP
cet-3927	79	14			NOUN
cet-3927	79	15			NOUN
cet-3927	79	16			NOUN
cet-3927	79	17			PRON
cet-3927	79	18			NOUN
cet-3927	80	1	(	(	PUNCT
cet-3927	80	2	3	3	X
cet-3927	80	3	)	)	PUNCT
cet-3927	80	4	among	among	ADP
cet-3927	80	5	them	they	PRON
cet-3927	80	6	,	,	PUNCT
cet-3927	80	7			ADP
cet-3927	80	8	is	be	AUX
cet-3927	80	9	the	the	DET
cet-3927	80	10	volatile	volatile	ADJ
cet-3927	80	11	coefficient	coefficient	NOUN
cet-3927	80	12	of	of	ADP
cet-3927	80	13	pheromone	pheromone	NOUN
cet-3927	80	14	,	,	PUNCT
cet-3927	80	15	and	and	CCONJ
cet-3927	80	16	its	its	PRON
cet-3927	80	17	value	value	NOUN
cet-3927	80	18	range	range	NOUN
cet-3927	80	19	is	be	AUX
cet-3927	80	20	[	[	X
cet-3927	80	21	0	0	NUM
cet-3927	80	22	,	,	PUNCT
cet-3927	80	23	1	1	NUM
cet-3927	80	24	]	]	PUNCT
cet-3927	80	25	.	.	PUNCT
cet-3927	81	1	q	q	PUNCT
cet-3927	81	2	is	be	AUX
cet-3927	81	3	the	the	DET
cet-3927	81	4	value	value	NOUN
cet-3927	81	5	of	of	ADP
cet-3927	81	6	the	the	DET
cet-3927	81	7	initial	initial	ADJ
cet-3927	81	8	pheromone	pheromone	NOUN
cet-3927	81	9	.	.	PUNCT
cet-3927	82	1	in	in	ADP
cet-3927	82	2	order	order	NOUN
cet-3927	82	3	to	to	PART
cet-3927	82	4	increase	increase	VERB
cet-3927	82	5	the	the	DET
cet-3927	82	6	search	search	NOUN
cet-3927	82	7	range	range	NOUN
cet-3927	82	8	at	at	ADP
cet-3927	82	9	the	the	DET
cet-3927	82	10	start	start	NOUN
cet-3927	82	11	time	time	NOUN
cet-3927	82	12	,	,	PUNCT
cet-3927	82	13	q	q	PROPN
cet-3927	82	14	is	be	AUX
cet-3927	82	15	usually	usually	ADV
cet-3927	82	16	taken	take	VERB
cet-3927	82	17	q=max	q=max	NOUN
cet-3927	82	18	.	.	PUNCT
cet-3927	83	1	4	4	X
cet-3927	83	2	)	)	PUNCT
cet-3927	83	3	local	local	ADJ
cet-3927	83	4	pheromone	pheromone	NOUN
cet-3927	83	5	update	update	NOUN
cet-3927	83	6	1	1	NUM
cet-3927	83	7	0	0	NUM
cet-3927	83	8	best	good	ADJ
cet-3927	83	9	ib	ib	NOUN
cet-3927	83	10	ij	ij	X
cet-3927	83	11	c	c	X
cet-3927	83	12			NOUN
cet-3927	83	13			NUM
cet-3927	83	14			NOUN
cet-3927	83	15			NUM
cet-3927	83	16			NUM
cet-3927	83	17			NUM
cet-3927	83	18			PROPN
cet-3927	83	19	(	(	PUNCT
cet-3927	83	20	4	4	NUM
cet-3927	83	21	)	)	PUNCT
cet-3927	83	22	if	if	SCONJ
cet-3927	83	23	(	(	PUNCT
cet-3927	83	24	i	i	PROPN
cet-3927	83	25	,	,	PUNCT
cet-3927	83	26	j	j	PROPN
cet-3927	83	27	)	)	PUNCT
cet-3927	83	28	belongs	belong	VERB
cet-3927	83	29	to	to	ADP
cet-3927	83	30	the	the	DET
cet-3927	83	31	optimal	optimal	ADJ
cet-3927	83	32	path	path	NOUN
cet-3927	83	33	of	of	ADP
cet-3927	83	34	this	this	DET
cet-3927	83	35	iteration	iteration	NOUN
cet-3927	83	36	,	,	PUNCT
cet-3927	83	37	local	local	ADJ
cet-3927	83	38	pheromone	pheromone	NOUN
cet-3927	83	39	will	will	AUX
cet-3927	83	40	take	take	VERB
cet-3927	83	41	1/	1/	NUM
cet-3927	83	42	cib	cib	NOUN
cet-3927	83	43	,	,	PUNCT
cet-3927	83	44	after	after	ADP
cet-3927	83	45	the	the	DET
cet-3927	83	46	end	end	NOUN
cet-3927	83	47	of	of	ADP
cet-3927	83	48	the	the	DET
cet-3927	83	49	iteration	iteration	NOUN
cet-3927	83	50	process	process	NOUN
cet-3927	83	51	,	,	PUNCT
cet-3927	83	52	only	only	ADV
cet-3927	83	53	the	the	DET
cet-3927	83	54	optimal	optimal	ADJ
cet-3927	83	55	path	path	NOUN
cet-3927	83	56	is	be	AUX
cet-3927	83	57	updated	update	VERB
cet-3927	83	58	,	,	PUNCT
cet-3927	83	59	and	and	CCONJ
cet-3927	83	60	the	the	DET
cet-3927	83	61	cib	cib	PROPN
cet-3927	83	62	is	be	AUX
cet-3927	83	63	the	the	DET
cet-3927	83	64	length	length	NOUN
cet-3927	83	65	of	of	ADP
cet-3927	83	66	the	the	DET
cet-3927	83	67	optimal	optimal	ADJ
cet-3927	83	68	path	path	NOUN
cet-3927	83	69	found	find	VERB
cet-3927	83	70	in	in	ADP
cet-3927	83	71	this	this	DET
cet-3927	83	72	iteration	iteration	NOUN
cet-3927	83	73	.	.	PUNCT
cet-3927	84	1	5	5	X
cet-3927	84	2	)	)	PUNCT
cet-3927	84	3	adding	add	VERB
cet-3927	84	4	mutation	mutation	NOUN
cet-3927	84	5	factor	factor	NOUN
cet-3927	84	6	0arg	0arg	PROPN
cet-3927	84	7	max	max	PROPN
cet-3927	84	8	{	{	PUNCT
cet-3927	84	9	(	(	PUNCT
cet-3927	84	10	,	,	PUNCT
cet-3927	84	11	)	)	PUNCT
cet-3927	84	12	(	(	PUNCT
cet-3927	84	13	,	,	PUNCT
cet-3927	84	14	)	)	PUNCT
cet-3927	84	15	}	}	PUNCT
cet-3927	84	16	0	0	NUM
cet-3927	85	1	j	j	NOUN
cet-3927	85	2	allowed	allow	VERB
cet-3927	85	3	ij	ij	INTJ
cet-3927	86	1	i	i	PRON
cet-3927	86	2	j	j	PROPN
cet-3927	87	1	i	i	PRON
cet-3927	87	2	j	j	PROPN
cet-3927	88	1	q	q	X
cet-3927	88	2	q	q	X
cet-3927	88	3	c	c	X
cet-3927	88	4	otherwise	otherwise	ADV
cet-3927	88	5			PROPN
cet-3927	88	6			X
cet-3927	88	7			ADV
cet-3927	88	8			NOUN
cet-3927	89	1			NOUN
cet-3927	89	2			NOUN
cet-3927	89	3			NUM
cet-3927	89	4			NOUN
cet-3927	89	5	(	(	PUNCT
cet-3927	89	6	5	5	NUM
cet-3927	89	7	)	)	PUNCT
cet-3927	89	8	cij	cij	PROPN
cet-3927	89	9	is	be	AUX
cet-3927	89	10	a	a	DET
cet-3927	89	11	state	state	NOUN
cet-3927	89	12	variable	variable	NOUN
cet-3927	89	13	.	.	PUNCT
cet-3927	90	1	q0	q0	PROPN
cet-3927	90	2	is	be	AUX
cet-3927	90	3	a	a	DET
cet-3927	90	4	constant	constant	ADJ
cet-3927	90	5	,	,	PUNCT
cet-3927	90	6	and	and	CCONJ
cet-3927	90	7	its	its	PRON
cet-3927	90	8	value	value	NOUN
cet-3927	90	9	range	range	NOUN
cet-3927	90	10	is[0	is[0	PROPN
cet-3927	90	11	,	,	PUNCT
cet-3927	90	12	1	1	NUM
cet-3927	90	13	]	]	PUNCT
cet-3927	90	14	.	.	PUNCT
cet-3927	91	1	q	q	PUNCT
cet-3927	91	2	is	be	AUX
cet-3927	91	3	a	a	DET
cet-3927	91	4	random	random	ADJ
cet-3927	91	5	number	number	NOUN
cet-3927	91	6	(	(	PUNCT
cet-3927	91	7	0,1	0,1	NOUN
cet-3927	91	8	]	]	PUNCT
cet-3927	91	9	,	,	PUNCT
cet-3927	91	10	ant	ant	ADJ
cet-3927	91	11	colony	colony	NOUN
cet-3927	91	12	in	in	ADP
cet-3927	91	13	the	the	DET
cet-3927	91	14	selection	selection	NOUN
cet-3927	91	15	of	of	ADP
cet-3927	91	16	the	the	DET
cet-3927	91	17	next	next	ADJ
cet-3927	91	18	city	city	NOUN
cet-3927	91	19	randomly	randomly	ADV
cet-3927	91	20	generate	generate	VERB
cet-3927	91	21	q	q	NOUN
cet-3927	91	22	value	value	NOUN
cet-3927	91	23	.	.	PUNCT
cet-3927	92	1	when	when	SCONJ
cet-3927	92	2	the	the	DET
cet-3927	92	3	value	value	NOUN
cet-3927	92	4	of	of	ADP
cet-3927	92	5	q	q	NOUN
cet-3927	92	6	is	be	AUX
cet-3927	92	7	less	less	ADJ
cet-3927	92	8	than	than	ADP
cet-3927	92	9	or	or	CCONJ
cet-3927	92	10	equal	equal	ADJ
cet-3927	92	11	to	to	PART
cet-3927	92	12	q0	q0	PROPN
cet-3927	92	13	,	,	PUNCT
cet-3927	92	14	the	the	DET
cet-3927	92	15	next	next	ADJ
cet-3927	92	16	shortest	short	ADJ
cet-3927	92	17	distance	distance	NOUN
cet-3927	92	18	is	be	AUX
cet-3927	92	19	selected	select	VERB
cet-3927	92	20	.	.	PUNCT
cet-3927	93	1	if	if	SCONJ
cet-3927	93	2	q	q	NOUN
cet-3927	93	3	is	be	AUX
cet-3927	93	4	greater	great	ADJ
cet-3927	93	5	than	than	ADP
cet-3927	93	6	q0	q0	PROPN
cet-3927	93	7	,	,	PUNCT
cet-3927	93	8	we	we	PRON
cet-3927	93	9	select	select	VERB
cet-3927	93	10	the	the	DET
cet-3927	93	11	city	city	NOUN
cet-3927	93	12	following	follow	VERB
cet-3927	93	13	the	the	DET
cet-3927	93	14	following	follow	VERB
cet-3927	93	15	formula	formula	NOUN
cet-3927	93	16	.	.	PUNCT
cet-3927	94	1	[	[	PUNCT
cet-3927	94	2	(	(	PUNCT
cet-3927	94	3	)	)	PUNCT
cet-3927	94	4	]	]	PUNCT
cet-3927	94	5	[	[	PUNCT
cet-3927	94	6	(	(	PUNCT
cet-3927	94	7	)	)	PUNCT
cet-3927	94	8	]	]	PUNCT
cet-3927	94	9	(	(	PUNCT
cet-3927	94	10	)	)	PUNCT
cet-3927	94	11	[	[	PUNCT
cet-3927	94	12	(	(	PUNCT
cet-3927	94	13	)	)	PUNCT
cet-3927	94	14	]	]	PUNCT
cet-3927	94	15	[	[	PUNCT
cet-3927	94	16	(	(	PUNCT
cet-3927	94	17	)	)	PUNCT
cet-3927	94	18	]	]	PUNCT
cet-3927	94	19	0	0	PUNCT
cet-3927	95	1	ij	ij	INTJ
cet-3927	96	1	ij	ij	INTJ
cet-3927	96	2	kk	kk	INTJ
cet-3927	97	1	ij	ij	INTJ
cet-3927	97	2	ij	ij	INTJ
cet-3927	98	1	ij	ij	INTJ
cet-3927	98	2	k	k	PROPN
cet-3927	98	3	t	t	PROPN
cet-3927	98	4	t	t	PROPN
cet-3927	98	5	j	j	PROPN
cet-3927	98	6	allowed	allow	VERB
cet-3927	98	7	p	p	PROPN
cet-3927	98	8	t	t	PROPN
cet-3927	98	9	t	t	PROPN
cet-3927	98	10	t	t	PROPN
cet-3927	98	11	j	j	PROPN
cet-3927	98	12	allowed	allow	VERB
cet-3927	98	13			X
cet-3927	98	14			PROPN
cet-3927	98	15			NOUN
cet-3927	98	16			PROPN
cet-3927	98	17			NOUN
cet-3927	98	18			AUX
cet-3927	98	19			NOUN
cet-3927	98	20			PUNCT
cet-3927	98	21			ADV
cet-3927	98	22			PRON
cet-3927	98	23			PUNCT
cet-3927	98	24			PRON
cet-3927	98	25			PUNCT
cet-3927	99	1			NUM
cet-3927	99	2			PROPN
cet-3927	99	3			X
cet-3927	99	4	(	(	PUNCT
cet-3927	99	5	6	6	X
cet-3927	99	6	)	)	PUNCT
cet-3927	99	7	adding	add	VERB
cet-3927	99	8	the	the	DET
cet-3927	99	9	mutation	mutation	NOUN
cet-3927	99	10	operation	operation	NOUN
cet-3927	99	11	can	can	AUX
cet-3927	99	12	make	make	VERB
cet-3927	99	13	the	the	DET
cet-3927	99	14	ants	ant	NOUN
cet-3927	99	15	in	in	ADP
cet-3927	99	16	the	the	DET
cet-3927	99	17	first	first	ADJ
cet-3927	99	18	will	will	AUX
cet-3927	99	19	not	not	PART
cet-3927	99	20	blindly	blindly	ADV
cet-3927	99	21	follow	follow	VERB
cet-3927	99	22	the	the	DET
cet-3927	99	23	guidelines	guideline	NOUN
cet-3927	99	24	of	of	ADP
cet-3927	99	25	pheromone	pheromone	NOUN
cet-3927	99	26	search	search	NOUN
cet-3927	99	27	path	path	NOUN
cet-3927	99	28	.	.	PUNCT
cet-3927	100	1	this	this	PRON
cet-3927	100	2	will	will	AUX
cet-3927	100	3	expand	expand	VERB
cet-3927	100	4	the	the	DET
cet-3927	100	5	scope	scope	NOUN
cet-3927	100	6	of	of	ADP
cet-3927	100	7	the	the	DET
cet-3927	100	8	search	search	NOUN
cet-3927	100	9	,	,	PUNCT
cet-3927	100	10	and	and	CCONJ
cet-3927	100	11	avoid	avoid	VERB
cet-3927	100	12	falling	fall	VERB
cet-3927	100	13	into	into	ADP
cet-3927	100	14	quickly	quickly	ADV
cet-3927	100	15	local	local	ADJ
cet-3927	100	16	optimum	optimum	NOUN
cet-3927	100	17	that	that	PRON
cet-3927	100	18	leads	lead	VERB
cet-3927	100	19	to	to	ADP
cet-3927	100	20	stagnation	stagnation	NOUN
cet-3927	100	21	.	.	PUNCT
cet-3927	101	1	6	6	NUM
cet-3927	101	2	)	)	PUNCT
cet-3927	101	3	depth	depth	NOUN
cet-3927	101	4	-	-	PUNCT
cet-3927	101	5	uniform	uniform	NOUN
cet-3927	101	6	discrete	discrete	ADJ
cet-3927	101	7	sub	sub	NOUN
cet-3927	101	8	-	-	NOUN
cet-3927	101	9	populations	population	NOUN
cet-3927	101	10	search	search	NOUN
cet-3927	101	11	7	7	NUM
cet-3927	101	12	)	)	PUNCT
cet-3927	101	13	global	global	ADJ
cet-3927	101	14	uniform	uniform	ADJ
cet-3927	101	15	discrete	discrete	ADJ
cet-3927	101	16	search	search	NOUN
cet-3927	101	17	according	accord	VERB
cet-3927	101	18	to	to	ADP
cet-3927	101	19	the	the	DET
cet-3927	101	20	principle	principle	NOUN
cet-3927	101	21	of	of	ADP
cet-3927	101	22	dynamic	dynamic	ADJ
cet-3927	101	23	transition	transition	NOUN
cet-3927	101	24	probability	probability	NOUN
cet-3927	101	25	and	and	CCONJ
cet-3927	101	26	pheromone	pheromone	NOUN
cet-3927	101	27	update	update	NOUN
cet-3927	101	28	,	,	PUNCT
cet-3927	101	29	we	we	PRON
cet-3927	101	30	move	move	VERB
cet-3927	101	31	all	all	DET
cet-3927	101	32	ants	ant	NOUN
cet-3927	101	33	within	within	ADP
cet-3927	101	34	the	the	DET
cet-3927	101	35	ant	ant	ADJ
cet-3927	101	36	colony	colony	NOUN
cet-3927	101	37	.	.	PUNCT
cet-3927	102	1	6	6	X
cet-3927	102	2	.	.	X
cet-3927	102	3	experiment	experiment	NOUN
cet-3927	102	4	and	and	CCONJ
cet-3927	102	5	analysis	analysis	NOUN
cet-3927	102	6	6.1	6.1	NUM
cet-3927	102	7	introduction	introduction	NOUN
cet-3927	102	8	of	of	ADP
cet-3927	102	9	experimental	experimental	ADJ
cet-3927	102	10	environment	environment	NOUN
cet-3927	102	11	first	first	ADV
cet-3927	102	12	,	,	PUNCT
cet-3927	102	13	before	before	ADP
cet-3927	102	14	the	the	DET
cet-3927	102	15	experiment	experiment	NOUN
cet-3927	102	16	,	,	PUNCT
cet-3927	102	17	the	the	DET
cet-3927	102	18	parameters	parameter	NOUN
cet-3927	102	19	of	of	ADP
cet-3927	102	20	the	the	DET
cet-3927	102	21	algorithm	algorithm	NOUN
cet-3927	102	22	need	need	VERB
cet-3927	102	23	to	to	PART
cet-3927	102	24	be	be	AUX
cet-3927	102	25	determined	determine	VERB
cet-3927	102	26	.	.	PUNCT
cet-3927	103	1	in	in	ADP
cet-3927	103	2	this	this	DET
cet-3927	103	3	paper	paper	NOUN
cet-3927	103	4	,	,	PUNCT
cet-3927	103	5	the	the	DET
cet-3927	103	6	selected	select	VERB
cet-3927	103	7	experimental	experimental	ADJ
cet-3927	103	8	examples	example	NOUN
cet-3927	103	9	are	be	AUX
cet-3927	103	10	oliver30	oliver30	ADJ
cet-3927	103	11	in	in	ADP
cet-3927	103	12	the	the	DET
cet-3927	103	13	tsplib	tsplib	NOUN
cet-3927	103	14	.	.	PUNCT
cet-3927	104	1	according	accord	VERB
cet-3927	104	2	to	to	ADP
cet-3927	104	3	the	the	DET
cet-3927	104	4	uniform	uniform	ADJ
cet-3927	104	5	design	design	NOUN
cet-3927	104	6	method	method	NOUN
cet-3927	104	7	,	,	PUNCT
cet-3927	104	8	the	the	DET
cet-3927	104	9	376	376	NUM
cet-3927	104	10	optimal	optimal	ADJ
cet-3927	104	11	parameter	parameter	NOUN
cet-3927	104	12	combination	combination	NOUN
cet-3927	104	13	is	be	AUX
cet-3927	104	14	obtained	obtain	VERB
cet-3927	104	15	through	through	ADP
cet-3927	104	16	repeated	repeat	VERB
cet-3927	104	17	iteration	iteration	NOUN
cet-3927	104	18	.	.	PUNCT
cet-3927	105	1	=4.5	=4.5	NOUN
cet-3927	105	2	,	,	PUNCT
cet-3927	105	3	=0.47	=0.47	PROPN
cet-3927	105	4	,	,	PUNCT
cet-3927	105	5	m=18	m=18	NOUN
cet-3927	105	6	,	,	PUNCT
cet-3927	105	7	=3.8	=3.8	PROPN
cet-3927	105	8	,	,	PUNCT
cet-3927	105	9	because	because	SCONJ
cet-3927	105	10	of	of	ADP
cet-3927	105	11	the	the	DET
cet-3927	105	12	effect	effect	NOUN
cet-3927	105	13	of	of	ADP
cet-3927	105	14	the	the	DET
cet-3927	105	15	total	total	ADJ
cet-3927	105	16	amount	amount	NOUN
cet-3927	105	17	of	of	ADP
cet-3927	105	18	pheromone	pheromone	NOUN
cet-3927	105	19	q	q	NOUN
cet-3927	105	20	on	on	ADP
cet-3927	105	21	the	the	DET
cet-3927	105	22	algorithm	algorithm	NOUN
cet-3927	105	23	is	be	AUX
cet-3927	105	24	not	not	PART
cet-3927	105	25	obvious	obvious	ADJ
cet-3927	105	26	,	,	PUNCT
cet-3927	105	27	we	we	PRON
cet-3927	105	28	take	take	VERB
cet-3927	105	29	q=89	q=89	NOUN
cet-3927	105	30	.	.	PUNCT
cet-3927	106	1	6.2	6.2	NUM
cet-3927	106	2	experimental	experimental	ADJ
cet-3927	106	3	results	result	NOUN
cet-3927	106	4	and	and	CCONJ
cet-3927	106	5	analysis	analysis	NOUN
cet-3927	106	6	this	this	DET
cet-3927	106	7	paper	paper	NOUN
cet-3927	106	8	compares	compare	VERB
cet-3927	106	9	the	the	DET
cet-3927	106	10	traditional	traditional	ADJ
cet-3927	106	11	ant	ant	ADJ
cet-3927	106	12	colony	colony	NOUN
cet-3927	106	13	algorithm	algorithm	NOUN
cet-3927	106	14	and	and	CCONJ
cet-3927	106	15	the	the	DET
cet-3927	106	16	improved	improve	VERB
cet-3927	106	17	ant	ant	ADJ
cet-3927	106	18	colony	colony	NOUN
cet-3927	106	19	algorithm	algorithm	NOUN
cet-3927	106	20	.	.	PUNCT
cet-3927	107	1	the	the	DET
cet-3927	107	2	iteration	iteration	NOUN
cet-3927	107	3	times	time	NOUN
cet-3927	107	4	of	of	ADP
cet-3927	107	5	the	the	DET
cet-3927	107	6	experiment	experiment	NOUN
cet-3927	107	7	are	be	AUX
cet-3927	107	8	50	50	NUM
cet-3927	107	9	,	,	PUNCT
cet-3927	107	10	100	100	NUM
cet-3927	107	11	,	,	PUNCT
cet-3927	107	12	300	300	NUM
cet-3927	107	13	,	,	PUNCT
cet-3927	107	14	500	500	NUM
cet-3927	107	15	and	and	CCONJ
cet-3927	107	16	1000	1000	NUM
cet-3927	107	17	times	time	NOUN
cet-3927	107	18	.	.	PUNCT
cet-3927	108	1	table	table	NOUN
cet-3927	108	2	1	1	NUM
cet-3927	108	3	shows	show	VERB
cet-3927	108	4	the	the	DET
cet-3927	108	5	experimental	experimental	ADJ
cet-3927	108	6	results	result	NOUN
cet-3927	108	7	of	of	ADP
cet-3927	108	8	the	the	DET
cet-3927	108	9	traditional	traditional	ADJ
cet-3927	108	10	ant	ant	ADJ
cet-3927	108	11	colony	colony	NOUN
cet-3927	108	12	algorithm	algorithm	NOUN
cet-3927	108	13	,	,	PUNCT
cet-3927	108	14	table	table	NOUN
cet-3927	108	15	2	2	NUM
cet-3927	108	16	shows	show	VERB
cet-3927	108	17	the	the	DET
cet-3927	108	18	experimental	experimental	ADJ
cet-3927	108	19	results	result	NOUN
cet-3927	108	20	of	of	ADP
cet-3927	108	21	the	the	DET
cet-3927	108	22	improved	improve	VERB
cet-3927	108	23	ant	ant	ADJ
cet-3927	108	24	colony	colony	NOUN
cet-3927	108	25	algorithm	algorithm	NOUN
cet-3927	108	26	.	.	PUNCT
cet-3927	109	1	table	table	NOUN
cet-3927	109	2	1	1	NUM
cet-3927	109	3	:	:	PUNCT
cet-3927	109	4	the	the	DET
cet-3927	109	5	results	result	NOUN
cet-3927	109	6	of	of	ADP
cet-3927	109	7	traditional	traditional	ADJ
cet-3927	109	8	ant	ant	ADJ
cet-3927	109	9	colony	colony	NOUN
cet-3927	109	10	algorithm	algorithm	PROPN
cet-3927	109	11	shortest	short	ADJ
cet-3927	109	12	path	path	NOUN
cet-3927	109	13	length	length	NOUN
cet-3927	109	14	average	average	ADJ
cet-3927	109	15	path	path	NOUN
cet-3927	109	16	length	length	NOUN
cet-3927	109	17	number	number	NOUN
cet-3927	109	18	of	of	ADP
cet-3927	109	19	iteration	iteration	NOUN
cet-3927	109	20	472.436	472.436	NUM
cet-3927	109	21	495.147	495.147	NUM
cet-3927	109	22	50	50	NUM
cet-3927	109	23	464.592	464.592	NUM
cet-3927	109	24	483.223	483.223	NUM
cet-3927	109	25	100	100	NUM
cet-3927	109	26	454.267	454.267	NUM
cet-3927	109	27	468.812	468.812	NUM
cet-3927	109	28	300	300	NUM
cet-3927	109	29	448.677	448.677	NUM
cet-3927	109	30	462.954	462.954	NUM
cet-3927	109	31	500	500	NUM
cet-3927	109	32	442.217	442.217	NUM
cet-3927	109	33	452.651	452.651	NUM
cet-3927	109	34	1000	1000	NUM
cet-3927	109	35	table	table	NOUN
cet-3927	109	36	2	2	NUM
cet-3927	109	37	:	:	PUNCT
cet-3927	109	38	the	the	DET
cet-3927	109	39	results	result	NOUN
cet-3927	109	40	of	of	ADP
cet-3927	109	41	improved	improved	ADJ
cet-3927	109	42	ant	ant	ADJ
cet-3927	109	43	colony	colony	NOUN
cet-3927	109	44	algorithm	algorithm	PROPN
cet-3927	109	45	shortest	short	ADJ
cet-3927	109	46	path	path	NOUN
cet-3927	109	47	length	length	NOUN
cet-3927	109	48	average	average	ADJ
cet-3927	109	49	path	path	NOUN
cet-3927	109	50	length	length	NOUN
cet-3927	109	51	number	number	NOUN
cet-3927	109	52	of	of	ADP
cet-3927	109	53	iteration	iteration	NOUN
cet-3927	109	54	427.368	427.368	NUM
cet-3927	109	55	443.429	443.429	NUM
cet-3927	109	56	50	50	NUM
cet-3927	109	57	425.445	425.445	NUM
cet-3927	109	58	438.186	438.186	NUM
cet-3927	109	59	100	100	NUM
cet-3927	109	60	423.678	423.678	NUM
cet-3927	109	61	428.741	428.741	NUM
cet-3927	109	62	300	300	NUM
cet-3927	109	63	423.173	423.173	NUM
cet-3927	109	64	426.985	426.985	NUM
cet-3927	109	65	500	500	NUM
cet-3927	109	66	420.863	420.863	NUM
cet-3927	109	67	423.434	423.434	NUM
cet-3927	109	68	1000	1000	NUM
cet-3927	109	69	it	it	PRON
cet-3927	109	70	can	can	AUX
cet-3927	109	71	be	be	AUX
cet-3927	109	72	seen	see	VERB
cet-3927	109	73	from	from	ADP
cet-3927	109	74	the	the	DET
cet-3927	109	75	tables	table	NOUN
cet-3927	109	76	that	that	PRON
cet-3927	109	77	the	the	DET
cet-3927	109	78	improved	improved	ADJ
cet-3927	109	79	ant	ant	ADJ
cet-3927	109	80	colony	colony	NOUN
cet-3927	109	81	algorithm	algorithm	NOUN
cet-3927	109	82	has	have	VERB
cet-3927	109	83	obvious	obvious	ADJ
cet-3927	109	84	advantages	advantage	NOUN
cet-3927	109	85	in	in	ADP
cet-3927	109	86	dealing	deal	VERB
cet-3927	109	87	with	with	ADP
cet-3927	109	88	the	the	DET
cet-3927	109	89	tsp	tsp	NOUN
cet-3927	109	90	problem	problem	NOUN
cet-3927	109	91	.	.	PUNCT
cet-3927	110	1	first	first	ADV
cet-3927	110	2	of	of	ADP
cet-3927	110	3	all	all	PRON
cet-3927	110	4	,	,	PUNCT
cet-3927	110	5	through	through	ADP
cet-3927	110	6	the	the	DET
cet-3927	110	7	uniform	uniform	ADJ
cet-3927	110	8	design	design	NOUN
cet-3927	110	9	of	of	ADP
cet-3927	110	10	the	the	DET
cet-3927	110	11	idea	idea	NOUN
cet-3927	110	12	to	to	PART
cet-3927	110	13	set	set	VERB
cet-3927	110	14	up	up	ADP
cet-3927	110	15	a	a	DET
cet-3927	110	16	good	good	ADJ
cet-3927	110	17	parameter	parameter	NOUN
cet-3927	110	18	in	in	ADP
cet-3927	110	19	advance	advance	NOUN
cet-3927	110	20	.	.	PUNCT
cet-3927	111	1	at	at	ADP
cet-3927	111	2	the	the	DET
cet-3927	111	3	same	same	ADJ
cet-3927	111	4	time	time	NOUN
cet-3927	111	5	,	,	PUNCT
cet-3927	111	6	we	we	PRON
cet-3927	111	7	add	add	VERB
cet-3927	111	8	the	the	DET
cet-3927	111	9	mutation	mutation	NOUN
cet-3927	111	10	factor	factor	NOUN
cet-3927	111	11	to	to	PART
cet-3927	111	12	enhance	enhance	VERB
cet-3927	111	13	the	the	DET
cet-3927	111	14	searching	search	VERB
cet-3927	111	15	ability	ability	NOUN
cet-3927	111	16	of	of	ADP
cet-3927	111	17	the	the	DET
cet-3927	111	18	ant	ant	ADJ
cet-3927	111	19	colony	colony	NOUN
cet-3927	111	20	algorithm	algorithm	NOUN
cet-3927	111	21	,	,	PUNCT
cet-3927	111	22	and	and	CCONJ
cet-3927	111	23	the	the	DET
cet-3927	111	24	convergence	convergence	NOUN
cet-3927	111	25	speed	speed	NOUN
cet-3927	111	26	is	be	AUX
cet-3927	111	27	improved	improve	VERB
cet-3927	111	28	.	.	PUNCT
cet-3927	112	1	in	in	ADP
cet-3927	112	2	this	this	DET
cet-3927	112	3	paper	paper	NOUN
cet-3927	112	4	,	,	PUNCT
cet-3927	112	5	the	the	DET
cet-3927	112	6	algorithm	algorithm	NOUN
cet-3927	112	7	has	have	VERB
cet-3927	112	8	obvious	obvious	ADJ
cet-3927	112	9	advantages	advantage	NOUN
cet-3927	112	10	in	in	ADP
cet-3927	112	11	dealing	deal	VERB
cet-3927	112	12	with	with	ADP
cet-3927	112	13	tsp	tsp	NOUN
cet-3927	112	14	problem	problem	NOUN
cet-3927	112	15	.	.	PUNCT
cet-3927	113	1	7	7	X
cet-3927	113	2	.	.	X
cet-3927	113	3	conclusions	conclusion	NOUN
cet-3927	113	4	the	the	DET
cet-3927	113	5	convergence	convergence	NOUN
cet-3927	113	6	speed	speed	NOUN
cet-3927	113	7	of	of	ADP
cet-3927	113	8	ant	ant	ADJ
cet-3927	113	9	colony	colony	NOUN
cet-3927	113	10	algorithm	algorithm	NOUN
cet-3927	113	11	is	be	AUX
cet-3927	113	12	greatly	greatly	ADV
cet-3927	113	13	improved	improve	VERB
cet-3927	113	14	by	by	ADP
cet-3927	113	15	using	use	VERB
cet-3927	113	16	the	the	DET
cet-3927	113	17	uniform	uniform	ADJ
cet-3927	113	18	design	design	NOUN
cet-3927	113	19	idea	idea	NOUN
cet-3927	113	20	to	to	PART
cet-3927	113	21	add	add	VERB
cet-3927	113	22	uniform	uniform	ADJ
cet-3927	113	23	discrete	discrete	ADJ
cet-3927	113	24	process	process	NOUN
cet-3927	113	25	and	and	CCONJ
cet-3927	113	26	the	the	DET
cet-3927	113	27	reasonable	reasonable	ADJ
cet-3927	113	28	setting	setting	NOUN
cet-3927	113	29	of	of	ADP
cet-3927	113	30	the	the	DET
cet-3927	113	31	parameters	parameter	NOUN
cet-3927	113	32	of	of	ADP
cet-3927	113	33	ant	ant	ADJ
cet-3927	113	34	colony	colony	NOUN
cet-3927	113	35	algorithm	algorithm	NOUN
cet-3927	113	36	.	.	PUNCT
cet-3927	114	1	by	by	ADP
cet-3927	114	2	introducing	introduce	VERB
cet-3927	114	3	the	the	DET
cet-3927	114	4	idea	idea	NOUN
cet-3927	114	5	of	of	ADP
cet-3927	114	6	genetic	genetic	ADJ
cet-3927	114	7	algorithm	algorithm	NOUN
cet-3927	114	8	and	and	CCONJ
cet-3927	114	9	adding	add	VERB
cet-3927	114	10	the	the	DET
cet-3927	114	11	variation	variation	NOUN
cet-3927	114	12	factor	factor	NOUN
cet-3927	114	13	,	,	PUNCT
cet-3927	114	14	the	the	DET
cet-3927	114	15	improved	improved	ADJ
cet-3927	114	16	ant	ant	ADJ
cet-3927	114	17	colony	colony	NOUN
cet-3927	114	18	algorithm	algorithm	NOUN
cet-3927	114	19	has	have	VERB
cet-3927	114	20	a	a	DET
cet-3927	114	21	fast	fast	ADJ
cet-3927	114	22	convergence	convergence	NOUN
cet-3927	114	23	speed	speed	NOUN
cet-3927	114	24	and	and	CCONJ
cet-3927	114	25	very	very	ADV
cet-3927	114	26	good	good	ADJ
cet-3927	114	27	global	global	ADJ
cet-3927	114	28	optimization	optimization	NOUN
cet-3927	114	29	ability	ability	NOUN
cet-3927	114	30	,	,	PUNCT
cet-3927	114	31	thus	thus	ADV
cet-3927	114	32	avoiding	avoid	VERB
cet-3927	114	33	the	the	DET
cet-3927	114	34	local	local	ADJ
cet-3927	114	35	convergence	convergence	NOUN
cet-3927	114	36	of	of	ADP
cet-3927	114	37	the	the	DET
cet-3927	114	38	situation	situation	NOUN
cet-3927	114	39	.	.	PUNCT
cet-3927	115	1	through	through	ADP
cet-3927	115	2	experiments	experiment	NOUN
cet-3927	115	3	,	,	PUNCT
cet-3927	115	4	we	we	PRON
cet-3927	115	5	verify	verify	VERB
cet-3927	115	6	that	that	SCONJ
cet-3927	115	7	the	the	DET
cet-3927	115	8	improved	improved	ADJ
cet-3927	115	9	ant	ant	ADJ
cet-3927	115	10	colony	colony	NOUN
cet-3927	115	11	algorithm	algorithm	NOUN
cet-3927	115	12	has	have	VERB
cet-3927	115	13	a	a	DET
cet-3927	115	14	very	very	ADV
cet-3927	115	15	good	good	ADJ
cet-3927	115	16	performance	performance	NOUN
cet-3927	115	17	in	in	ADP
cet-3927	115	18	dealing	deal	VERB
cet-3927	115	19	with	with	ADP
cet-3927	115	20	the	the	DET
cet-3927	115	21	tsp	tsp	NOUN
cet-3927	115	22	problem	problem	NOUN
cet-3927	115	23	.	.	PUNCT
cet-3927	116	1	and	and	CCONJ
cet-3927	116	2	it	it	PRON
cet-3927	116	3	is	be	AUX
cet-3927	116	4	proved	prove	VERB
cet-3927	116	5	that	that	SCONJ
cet-3927	116	6	the	the	DET
cet-3927	116	7	improved	improved	ADJ
cet-3927	116	8	algorithm	algorithm	NOUN
cet-3927	116	9	can	can	AUX
cet-3927	116	10	effectively	effectively	ADV
cet-3927	116	11	solve	solve	VERB
cet-3927	116	12	the	the	DET
cet-3927	116	13	problem	problem	NOUN
cet-3927	116	14	of	of	ADP
cet-3927	116	15	other	other	ADJ
cet-3927	116	16	combinatorial	combinatorial	ADJ
cet-3927	116	17	optimization	optimization	NOUN
cet-3927	116	18	problems	problem	NOUN
cet-3927	116	19	.	.	PUNCT
cet-3927	117	1	377	377	NUM
cet-3927	117	2	references	reference	NOUN
cet-3927	117	3	bullnheimer	bullnheimer	PROPN
cet-3927	117	4	b.	b.	PROPN
cet-3927	117	5	,	,	PUNCT
cet-3927	117	6	hartl	hartl	PROPN
cet-3927	117	7	r.f	r.f	PROPN
cet-3927	117	8	.	.	PROPN
cet-3927	117	9	,	,	PUNCT
cet-3927	117	10	strauss	strauss	PROPN
cet-3927	117	11	c.	c.	PROPN
cet-3927	117	12	,	,	PUNCT
cet-3927	117	13	1999	1999	NUM
cet-3927	117	14	,	,	PUNCT
cet-3927	117	15	a	a	DET
cet-3927	117	16	new	new	ADJ
cet-3927	117	17	rank	rank	NOUN
cet-3927	117	18	-	-	PUNCT
cet-3927	117	19	based	base	VERB
cet-3927	117	20	version	version	NOUN
cet-3927	117	21	of	of	ADP
cet-3927	117	22	the	the	DET
cet-3927	117	23	ant	ant	ADJ
cet-3927	117	24	system	system	NOUN
cet-3927	117	25	:	:	PUNCT
cet-3927	117	26	a	a	DET
cet-3927	117	27	computational	computational	ADJ
cet-3927	117	28	study	study	NOUN
cet-3927	117	29	.	.	PUNCT
cet-3927	118	1	central	central	ADJ
cet-3927	118	2	european	european	PROPN
cet-3927	118	3	journal	journal	PROPN
cet-3927	118	4	for	for	ADP
cet-3927	118	5	operations	operation	NOUN
cet-3927	118	6	research	research	NOUN
cet-3927	118	7	and	and	CCONJ
cet-3927	118	8	econmics	econmic	NOUN
cet-3927	118	9	,	,	PUNCT
cet-3927	118	10	7(1	7(1	NUM
cet-3927	118	11	):	):	PUNCT
cet-3927	118	12	25~38	25~38	NUM
cet-3927	118	13	chen	chen	PROPN
cet-3927	118	14	w.l	w.l	PROPN
cet-3927	118	15	.	.	PROPN
cet-3927	118	16	,	,	PUNCT
cet-3927	118	17	dai	dai	PROPN
cet-3927	118	18	s.g	s.g	PROPN
cet-3927	118	19	.	.	PROPN
cet-3927	118	20	,	,	PUNCT
cet-3927	118	21	2006	2006	NUM
cet-3927	118	22	,	,	PUNCT
cet-3927	118	23	review	review	NOUN
cet-3927	118	24	of	of	ADP
cet-3927	118	25	traveling	travel	VERB
cet-3927	118	26	salesman	salesman	ADJ
cet-3927	118	27	problem	problem	NOUN
cet-3927	118	28	algorithm	algorithm	NOUN
cet-3927	119	1	[	[	X
cet-3927	119	2	j	j	X
cet-3927	119	3	]	]	X
cet-3927	119	4	.	.	PUNCT
cet-3927	120	1	journal	journal	PROPN
cet-3927	120	2	of	of	ADP
cet-3927	120	3	chuzhou	chuzhou	PROPN
cet-3927	120	4	university	university	PROPN
cet-3927	120	5	,	,	PUNCT
cet-3927	120	6	8(3	8(3	NUM
cet-3927	120	7	):	):	PUNCT
cet-3927	120	8	1	1	NUM
cet-3927	120	9	-	-	SYM
cet-3927	120	10	6	6	NUM
cet-3927	120	11	.	.	PUNCT
cet-3927	121	1	colorni	colorni	PROPN
cet-3927	121	2	a.	a.	PROPN
cet-3927	121	3	,	,	PUNCT
cet-3927	121	4	dorigo	dorigo	PROPN
cet-3927	121	5	m.	m.	PROPN
cet-3927	121	6	,	,	PUNCT
cet-3927	121	7	maniezzo	maniezzo	PROPN
cet-3927	121	8	v.	v.	PROPN
cet-3927	121	9	,	,	PUNCT
cet-3927	121	10	et	et	PROPN
cet-3927	121	11	al	al	PROPN
cet-3927	121	12	,	,	PUNCT
cet-3927	121	13	1991	1991	NUM
cet-3927	121	14	.	.	PUNCT
cet-3927	122	1	distributed	distribute	VERB
cet-3927	122	2	optimization	optimization	NOUN
cet-3927	122	3	by	by	ADP
cet-3927	122	4	ant	ant	ADJ
cet-3927	122	5	colonies	colony	NOUN
cet-3927	122	6	[	[	X
cet-3927	122	7	c	c	X
cet-3927	122	8	]	]	PUNCT
cet-3927	122	9	.	.	PUNCT
cet-3927	123	1	proceedings	proceeding	NOUN
cet-3927	123	2	of	of	ADP
cet-3927	123	3	the	the	DET
cet-3927	123	4	1st	1st	ADJ
cet-3927	123	5	european	european	ADJ
cet-3927	123	6	conference	conference	NOUN
cet-3927	123	7	on	on	ADP
cet-3927	123	8	artificial	artificial	ADJ
cet-3927	123	9	lift	lift	NOUN
cet-3927	123	10	:	:	PUNCT
cet-3927	123	11	134	134	NUM
cet-3927	123	12	-	-	SYM
cet-3927	123	13	142	142	NUM
cet-3927	123	14	dorigo	dorigo	ADJ
cet-3927	123	15	m.	m.	NOUN
cet-3927	123	16	,	,	PUNCT
cet-3927	123	17	maniezzo	maniezzo	PROPN
cet-3927	123	18	v.	v.	ADV
cet-3927	123	19	,	,	PUNCT
cet-3927	123	20	colorni	colorni	PROPN
cet-3927	123	21	a.	a.	NOUN
cet-3927	123	22	,	,	PUNCT
cet-3927	123	23	1996	1996	NUM
cet-3927	123	24	.	.	PUNCT
cet-3927	124	1	ant	ant	ADJ
cet-3927	124	2	system	system	NOUN
cet-3927	124	3	:	:	PUNCT
cet-3927	124	4	optimization	optimization	NOUN
cet-3927	124	5	by	by	ADP
cet-3927	124	6	a	a	DET
cet-3927	124	7	colony	colony	NOUN
cet-3927	124	8	of	of	ADP
cet-3927	124	9	cooperating	cooperate	VERB
cet-3927	124	10	agents	agent	NOUN
cet-3927	124	11	.	.	PUNCT
cet-3927	125	1	ieee	ieee	NOUN
cet-3927	125	2	transation	transation	NOUN
cet-3927	125	3	on	on	ADP
cet-3927	125	4	systems	system	NOUN
cet-3927	125	5	,	,	PUNCT
cet-3927	125	6	man	man	NOUN
cet-3927	125	7	,	,	PUNCT
cet-3927	125	8	and	and	CCONJ
cet-3927	125	9	cybernetics	cybernetic	NOUN
cet-3927	125	10	-	-	PUNCT
cet-3927	125	11	part	part	NOUN
cet-3927	125	12	b	b	PROPN
cet-3927	125	13	,	,	PUNCT
cet-3927	125	14	26(1	26(1	NUM
cet-3927	125	15	):	):	PUNCT
cet-3927	125	16	29	29	NUM
cet-3927	125	17	-	-	SYM
cet-3927	125	18	41	41	NUM
cet-3927	125	19	dorigo	dorigo	ADJ
cet-3927	125	20	m.	m.	NOUN
cet-3927	125	21	,	,	PUNCT
cet-3927	125	22	1992	1992	NUM
cet-3927	125	23	.	.	PUNCT
cet-3927	126	1	optimization	optimization	NOUN
cet-3927	126	2	,	,	PUNCT
cet-3927	126	3	learning	learning	NOUN
cet-3927	126	4	and	and	CCONJ
cet-3927	126	5	natural	natural	ADJ
cet-3927	126	6	algorithms	algorithm	NOUN
cet-3927	126	7	.	.	PUNCT
cet-3927	127	1	ph.d	ph.d	PROPN
cet-3927	127	2	.	.	PUNCT
cet-3927	128	1	thesis	thesis	NOUN
cet-3927	128	2	,	,	PUNCT
cet-3927	128	3	department	department	NOUN
cet-3927	128	4	of	of	ADP
cet-3927	128	5	electronics	electronic	NOUN
cet-3927	128	6	,	,	PUNCT
cet-3927	128	7	politecnico	politecnico	PROPN
cet-3927	128	8	di	di	X
cet-3927	128	9	milano	milano	PROPN
cet-3927	128	10	,	,	PUNCT
cet-3927	128	11	italy	italy	PROPN
cet-3927	128	12	.	.	PUNCT
cet-3927	129	1	hossein	hossein	PROPN
cet-3927	129	2	m.n	m.n	PROPN
cet-3927	129	3	.	.	PROPN
cet-3927	129	4	,	,	PUNCT
cet-3927	129	5	taherinejad	taherinejad	PROPN
cet-3927	129	6	n.	n.	PROPN
cet-3927	129	7	,	,	PUNCT
cet-3927	129	8	2009	2009	NUM
cet-3927	129	9	.	.	PUNCT
cet-3927	130	1	new	new	ADJ
cet-3927	130	2	robust	robust	ADJ
cet-3927	130	3	and	and	CCONJ
cet-3927	130	4	efficient	efficient	ADJ
cet-3927	130	5	ant	ant	ADJ
cet-3927	130	6	colony	colony	NOUN
cet-3927	130	7	algorithms	algorithm	NOUN
cet-3927	130	8	:	:	PUNCT
cet-3927	130	9	using	use	VERB
cet-3927	130	10	new	new	ADJ
cet-3927	130	11	interpretation	interpretation	NOUN
cet-3927	130	12	of	of	ADP
cet-3927	130	13	local	local	ADJ
cet-3927	130	14	updating	updating	NOUN
cet-3927	130	15	process	process	NOUN
cet-3927	130	16	.	.	PUNCT
cet-3927	131	1	expert	expert	ADJ
cet-3927	131	2	system	system	NOUN
cet-3927	131	3	with	with	ADP
cet-3927	131	4	application	application	NOUN
cet-3927	131	5	,	,	PUNCT
cet-3927	131	6	36	36	NUM
cet-3927	131	7	:	:	PUNCT
cet-3927	131	8	481	481	NUM
cet-3927	131	9	-	-	SYM
cet-3927	131	10	488	488	NUM
cet-3927	131	11	li	li	PROPN
cet-3927	131	12	s.y	s.y	PROPN
cet-3927	131	13	.	.	PROPN
cet-3927	131	14	,	,	PUNCT
cet-3927	131	15	2003	2003	NUM
cet-3927	131	16	,	,	PUNCT
cet-3927	131	17	progresses	progress	NOUN
cet-3927	131	18	in	in	ADP
cet-3927	131	19	ant	ant	ADJ
cet-3927	131	20	colony	colony	NOUN
cet-3927	131	21	optimization	optimization	NOUN
cet-3927	131	22	algorithm	algorithm	NOUN
cet-3927	131	23	with	with	ADP
cet-3927	131	24	applications	application	NOUN
cet-3927	131	25	[	[	X
cet-3927	131	26	j]/	j]/	X
cet-3927	131	27	computer	computer	NOUN
cet-3927	131	28	automated	automate	VERB
cet-3927	131	29	measurement	measurement	NOUN
cet-3927	131	30	&	&	CCONJ
cet-3927	131	31	control	control	PROPN
cet-3927	131	32	,	,	PUNCT
cet-3927	131	33	11(12	11(12	NUM
cet-3927	131	34	):	):	PUNCT
cet-3927	131	35	911	911	NUM
cet-3927	131	36	-	-	SYM
cet-3927	131	37	913	913	NUM
cet-3927	131	38	.	.	PUNCT
cet-3927	132	1	li	li	PROPN
cet-3927	132	2	y.g	y.g	PROPN
cet-3927	132	3	.	.	PROPN
cet-3927	132	4	,	,	PUNCT
cet-3927	132	5	2008	2008	NUM
cet-3927	132	6	,	,	PUNCT
cet-3927	132	7	quantum	quantum	ADJ
cet-3927	132	8	ant	ant	ADJ
cet-3927	132	9	colony	colony	NOUN
cet-3927	132	10	algorithm	algorithm	NOUN
cet-3927	132	11	and	and	CCONJ
cet-3927	132	12	its	its	PRON
cet-3927	132	13	application	application	NOUN
cet-3927	133	1	[	[	X
cet-3927	133	2	d	d	X
cet-3927	133	3	]	]	X
cet-3927	133	4	.	.	PUNCT
cet-3927	134	1	lanzhou	lanzhou	PROPN
cet-3927	134	2	university	university	PROPN
cet-3927	134	3	of	of	ADP
cet-3927	134	4	technology	technology	PROPN
cet-3927	134	5	.	.	PUNCT
cet-3927	135	1	ma	ma	PROPN
cet-3927	135	2	l.	l.	PROPN
cet-3927	135	3	,	,	PUNCT
cet-3927	135	4	zhu	zhu	PROPN
cet-3927	135	5	g.	g.	PROPN
cet-3927	135	6	,	,	PUNCT
cet-3927	135	7	ning	ning	PROPN
cet-3927	135	8	a.b	a.b	PROPN
cet-3927	135	9	.	.	PROPN
cet-3927	135	10	,	,	PUNCT
cet-3927	135	11	2008	2008	NUM
cet-3927	135	12	,	,	PUNCT
cet-3927	135	13	ant	ant	ADJ
cet-3927	135	14	colony	colony	NOUN
cet-3927	135	15	optimization	optimization	NOUN
cet-3927	135	16	algorithm	algorithm	NOUN
cet-3927	135	17	,	,	PUNCT
cet-3927	135	18	beijing	beijing	PROPN
cet-3927	135	19	:	:	PUNCT
cet-3927	135	20	science	science	NOUN
cet-3927	135	21	press	press	PROPN
cet-3927	135	22	.	.	PUNCT
cet-3927	136	1	stützle	stützle	NOUN
cet-3927	136	2	t.	t.	PROPN
cet-3927	136	3	,	,	PUNCT
cet-3927	136	4	hoos	hoos	PROPN
cet-3927	136	5	h.	h.	PROPN
cet-3927	136	6	,	,	PUNCT
cet-3927	136	7	1996	1996	NUM
cet-3927	136	8	,	,	PUNCT
cet-3927	136	9	improving	improve	VERB
cet-3927	136	10	the	the	DET
cet-3927	136	11	ant	ant	ADJ
cet-3927	136	12	system	system	NOUN
cet-3927	136	13	:	:	PUNCT
cet-3927	136	14	a	a	DET
cet-3927	136	15	detailed	detailed	ADJ
cet-3927	136	16	report	report	NOUN
cet-3927	136	17	on	on	ADP
cet-3927	136	18	the	the	DET
cet-3927	136	19	max	max	PROPN
cet-3927	136	20	-	-	PUNCT
cet-3927	136	21	min	min	PROPN
cet-3927	136	22	ant	ant	ADJ
cet-3927	136	23	system	system	NOUN
cet-3927	136	24	.	.	PUNCT
cet-3927	137	1	technical	technical	PROPN
cet-3927	137	2	reprot	reprot	VERB
cet-3927	137	3	aida-96	aida-96	NOUN
cet-3927	137	4	-	-	NOUN
cet-3927	137	5	11	11	NUM
cet-3927	137	6	,	,	PUNCT
cet-3927	137	7	fg	fg	PROPN
cet-3927	137	8	intellektik	intellektik	PROPN
cet-3927	137	9	,	,	PUNCT
cet-3927	137	10	th	th	PROPN
cet-3927	137	11	darmstadt	darmstadt	PROPN
cet-3927	137	12	,	,	PUNCT
cet-3927	137	13	watanabe	watanabe	PROPN
cet-3927	137	14	i.	i.	PROPN
cet-3927	137	15	,	,	PUNCT
cet-3927	137	16	matsui	matsui	PROPN
cet-3927	137	17	s.	s.	PROPN
cet-3927	137	18	,	,	PUNCT
cet-3927	137	19	1996	1996	NUM
cet-3927	137	20	,	,	PUNCT
cet-3927	137	21	improving	improve	VERB
cet-3927	137	22	the	the	DET
cet-3927	137	23	performance	performance	NOUN
cet-3927	137	24	of	of	ADP
cet-3927	137	25	aco	aco	PROPN
cet-3927	137	26	algorithms	algorithm	NOUN
cet-3927	137	27	by	by	ADP
cet-3927	137	28	adaptive	adaptive	ADJ
cet-3927	137	29	control	control	NOUN
cet-3927	137	30	of	of	ADP
cet-3927	137	31	candidate	candidate	NOUN
cet-3927	137	32	set	set	NOUN
cet-3927	137	33	.	.	PUNCT
cet-3927	138	1	proceedings	proceeding	NOUN
cet-3927	138	2	of	of	ADP
cet-3927	138	3	the	the	DET
cet-3927	138	4	2003	2003	NUM
cet-3927	138	5	congress	congress	PROPN
cet-3927	138	6	on	on	ADP
cet-3927	138	7	evolutionary	evolutionary	ADJ
cet-3927	138	8	computation	computation	NOUN
cet-3927	138	9	,	,	PUNCT
cet-3927	138	10	2	2	NUM
cet-3927	138	11	:	:	SYM
cet-3927	138	12	1355	1355	NUM
cet-3927	138	13	-	-	SYM
cet-3927	138	14	1362	1362	NUM
cet-3927	138	15	wu	wu	PROPN
cet-3927	138	16	q.d	q.d	PROPN
cet-3927	138	17	.	.	PROPN
cet-3927	138	18	,	,	PUNCT
cet-3927	138	19	wang	wang	PROPN
cet-3927	138	20	l.	l.	PROPN
cet-3927	138	21	,	,	PUNCT
cet-3927	138	22	2004	2004	NUM
cet-3927	138	23	,	,	PUNCT
cet-3927	138	24	intelligent	intelligent	ADJ
cet-3927	138	25	ant	ant	ADJ
cet-3927	138	26	colony	colony	NOUN
cet-3927	138	27	algorithm	algorithm	NOUN
cet-3927	138	28	and	and	CCONJ
cet-3927	138	29	application	application	NOUN
cet-3927	138	30	[	[	X
cet-3927	138	31	m	m	X
cet-3927	138	32	]	]	X
cet-3927	138	33	.	.	PUNCT
cet-3927	139	1	shanghai	shanghai	PROPN
cet-3927	139	2	scientific	scientific	ADJ
cet-3927	139	3	and	and	CCONJ
cet-3927	139	4	technological	technological	ADJ
cet-3927	139	5	education	education	NOUN
cet-3927	139	6	publishing	publishing	NOUN
cet-3927	139	7	house	house	NOUN
cet-3927	139	8	,	,	PUNCT
cet-3927	139	9	1	1	NUM
cet-3927	139	10	-	-	SYM
cet-3927	139	11	200	200	NUM
cet-3927	139	12	zhang	zhang	PROPN
cet-3927	139	13	y.d	y.d	PROPN
cet-3927	139	14	.	.	PROPN
cet-3927	139	15	,	,	PUNCT
cet-3927	139	16	wu	wu	PROPN
cet-3927	139	17	l.n	l.n	PROPN
cet-3927	139	18	.	.	PROPN
cet-3927	139	19	,	,	PUNCT
cet-3927	139	20	wei	wei	PROPN
cet-3927	139	21	g.	g.	PROPN
cet-3927	139	22	,	,	PUNCT
cet-3927	139	23	2009	2009	NUM
cet-3927	139	24	,	,	PUNCT
cet-3927	139	25	comparison	comparison	NOUN
cet-3927	139	26	on	on	ADP
cet-3927	139	27	solving	solve	VERB
cet-3927	139	28	tsp	tsp	NOUN
cet-3927	139	29	via	via	ADP
cet-3927	139	30	intelligent	intelligent	ADJ
cet-3927	139	31	algorithm	algorithm	NOUN
cet-3927	140	1	[	[	X
cet-3927	140	2	j	j	X
cet-3927	140	3	]	]	X
cet-3927	140	4	,	,	PUNCT
cet-3927	140	5	computer	computer	NOUN
cet-3927	140	6	engineering	engineering	NOUN
cet-3927	140	7	and	and	CCONJ
cet-3927	140	8	applications	application	NOUN
cet-3927	140	9	,	,	PUNCT
cet-3927	140	10	45(11	45(11	NUM
cet-3927	140	11	):	):	PUNCT
cet-3927	140	12	11	11	NUM
cet-3927	140	13	-	-	SYM
cet-3927	140	14	15	15	NUM
cet-3927	140	15	.	.	NOUN
cet-3927	140	16	378	378	NUM