id	sid	tid	token	lemma	pos
fcis-5314	1	1	frontiers	frontier	NOUN
fcis-5314	1	2	in	in	ADP
fcis-5314	1	3	computing	computing	NOUN
fcis-5314	1	4	and	and	CCONJ
fcis-5314	1	5	intelligent	intelligent	ADJ
fcis-5314	1	6	systems	system	NOUN
fcis-5314	1	7	issn	issn	VERB
fcis-5314	1	8	:	:	PUNCT
fcis-5314	1	9	2832	2832	NUM
fcis-5314	1	10	-	-	SYM
fcis-5314	1	11	6024	6024	NUM
fcis-5314	1	12	|	|	NOUN
fcis-5314	1	13	vol	vol	NOUN
fcis-5314	1	14	.	.	PROPN
fcis-5314	2	1	2	2	NUM
fcis-5314	2	2	,	,	PUNCT
fcis-5314	2	3	no	no	INTJ
fcis-5314	2	4	.	.	NOUN
fcis-5314	2	5	3	3	NUM
fcis-5314	2	6	,	,	PUNCT
fcis-5314	3	1	2022	2022	NUM
fcis-5314	3	2	78	78	NUM
fcis-5314	3	3	robot	robot	NOUN
fcis-5314	3	4	path	path	NOUN
fcis-5314	3	5	planning	planning	NOUN
fcis-5314	3	6	based	base	VERB
fcis-5314	3	7	on	on	ADP
fcis-5314	3	8	improved	improve	VERB
fcis-5314	3	9	genetic	genetic	ADJ
fcis-5314	3	10	algorithm	algorithm	NOUN
fcis-5314	3	11	zhenxing	zhenxing	PROPN
fcis-5314	3	12	guo	guo	PROPN
fcis-5314	3	13	,	,	PUNCT
fcis-5314	3	14	li	li	PROPN
fcis-5314	3	15	mo	mo	PROPN
fcis-5314	3	16	college	college	PROPN
fcis-5314	3	17	of	of	ADP
fcis-5314	3	18	mechanical	mechanical	ADJ
fcis-5314	3	19	and	and	CCONJ
fcis-5314	3	20	electrical	electrical	ADJ
fcis-5314	3	21	engineering	engineering	NOUN
fcis-5314	3	22	,	,	PUNCT
fcis-5314	3	23	southwest	southwest	ADJ
fcis-5314	3	24	petroleum	petroleum	PROPN
fcis-5314	3	25	university	university	PROPN
fcis-5314	3	26	,	,	PUNCT
fcis-5314	3	27	chengdu	chengdu	PROPN
fcis-5314	3	28	610000	610000	NUM
fcis-5314	3	29	,	,	PUNCT
fcis-5314	3	30	china	china	PROPN
fcis-5314	3	31	abstract	abstract	NOUN
fcis-5314	3	32	:	:	PUNCT
fcis-5314	3	33	in	in	ADP
fcis-5314	3	34	order	order	NOUN
fcis-5314	3	35	to	to	PART
fcis-5314	3	36	solve	solve	VERB
fcis-5314	3	37	the	the	DET
fcis-5314	3	38	problems	problem	NOUN
fcis-5314	3	39	of	of	ADP
fcis-5314	3	40	the	the	DET
fcis-5314	3	41	basic	basic	ADJ
fcis-5314	3	42	genetic	genetic	ADJ
fcis-5314	3	43	algorithm	algorithm	NOUN
fcis-5314	3	44	in	in	ADP
fcis-5314	3	45	robot	robot	NOUN
fcis-5314	3	46	path	path	PROPN
fcis-5314	3	47	planning	planning	NOUN
fcis-5314	3	48	,	,	PUNCT
fcis-5314	3	49	such	such	ADJ
fcis-5314	3	50	as	as	ADP
fcis-5314	3	51	the	the	DET
fcis-5314	3	52	path	path	NOUN
fcis-5314	3	53	is	be	AUX
fcis-5314	3	54	not	not	PART
fcis-5314	3	55	smooth	smooth	ADJ
fcis-5314	3	56	enough	enough	ADV
fcis-5314	3	57	,	,	PUNCT
fcis-5314	3	58	the	the	DET
fcis-5314	3	59	number	number	NOUN
fcis-5314	3	60	of	of	ADP
fcis-5314	3	61	turns	turn	NOUN
fcis-5314	3	62	is	be	AUX
fcis-5314	3	63	too	too	ADV
fcis-5314	3	64	many	many	ADJ
fcis-5314	3	65	,	,	PUNCT
fcis-5314	3	66	and	and	CCONJ
fcis-5314	3	67	it	it	PRON
fcis-5314	3	68	is	be	AUX
fcis-5314	3	69	easy	easy	ADJ
fcis-5314	3	70	to	to	PART
fcis-5314	3	71	fall	fall	VERB
fcis-5314	3	72	into	into	ADP
fcis-5314	3	73	the	the	DET
fcis-5314	3	74	local	local	ADJ
fcis-5314	3	75	optimal	optimal	ADJ
fcis-5314	3	76	solution	solution	NOUN
fcis-5314	3	77	,	,	PUNCT
fcis-5314	3	78	an	an	DET
fcis-5314	3	79	improved	improved	ADJ
fcis-5314	3	80	genetic	genetic	ADJ
fcis-5314	3	81	algorithm	algorithm	NOUN
fcis-5314	3	82	is	be	AUX
fcis-5314	3	83	proposed	propose	VERB
fcis-5314	3	84	.	.	PUNCT
fcis-5314	4	1	the	the	DET
fcis-5314	4	2	method	method	NOUN
fcis-5314	4	3	introduces	introduce	VERB
fcis-5314	4	4	the	the	DET
fcis-5314	4	5	turning	turn	VERB
fcis-5314	4	6	angle	angle	NOUN
fcis-5314	4	7	and	and	CCONJ
fcis-5314	4	8	turning	turning	NOUN
fcis-5314	4	9	times	time	NOUN
fcis-5314	4	10	as	as	ADP
fcis-5314	4	11	the	the	DET
fcis-5314	4	12	evaluation	evaluation	NOUN
fcis-5314	4	13	objectives	objective	NOUN
fcis-5314	4	14	,	,	PUNCT
fcis-5314	4	15	improving	improve	VERB
fcis-5314	4	16	the	the	DET
fcis-5314	4	17	practicability	practicability	NOUN
fcis-5314	4	18	of	of	ADP
fcis-5314	4	19	the	the	DET
fcis-5314	4	20	fitness	fitness	NOUN
fcis-5314	4	21	function	function	NOUN
fcis-5314	4	22	;	;	PUNCT
fcis-5314	4	23	the	the	DET
fcis-5314	4	24	elitist	elitist	ADJ
fcis-5314	4	25	retention	retention	NOUN
fcis-5314	4	26	strategy	strategy	NOUN
fcis-5314	4	27	is	be	AUX
fcis-5314	4	28	added	add	VERB
fcis-5314	4	29	to	to	PART
fcis-5314	4	30	improve	improve	VERB
fcis-5314	4	31	the	the	DET
fcis-5314	4	32	convergence	convergence	NOUN
fcis-5314	4	33	speed	speed	NOUN
fcis-5314	4	34	of	of	ADP
fcis-5314	4	35	the	the	DET
fcis-5314	4	36	algorithm	algorithm	NOUN
fcis-5314	4	37	;	;	PUNCT
fcis-5314	4	38	the	the	DET
fcis-5314	4	39	adaptive	adaptive	ADJ
fcis-5314	4	40	change	change	NOUN
fcis-5314	4	41	strategy	strategy	NOUN
fcis-5314	4	42	of	of	ADP
fcis-5314	4	43	crossover	crossover	NOUN
fcis-5314	4	44	probability	probability	NOUN
fcis-5314	4	45	and	and	CCONJ
fcis-5314	4	46	mutation	mutation	NOUN
fcis-5314	4	47	probability	probability	NOUN
fcis-5314	4	48	is	be	AUX
fcis-5314	4	49	optimized	optimize	VERB
fcis-5314	4	50	,	,	PUNCT
fcis-5314	4	51	so	so	SCONJ
fcis-5314	4	52	that	that	SCONJ
fcis-5314	4	53	the	the	DET
fcis-5314	4	54	algorithm	algorithm	NOUN
fcis-5314	4	55	can	can	AUX
fcis-5314	4	56	adapt	adapt	VERB
fcis-5314	4	57	to	to	ADP
fcis-5314	4	58	various	various	ADJ
fcis-5314	4	59	scenarios	scenario	NOUN
fcis-5314	4	60	and	and	CCONJ
fcis-5314	4	61	improve	improve	VERB
fcis-5314	4	62	the	the	DET
fcis-5314	4	63	optimization	optimization	NOUN
fcis-5314	4	64	ability	ability	NOUN
fcis-5314	4	65	and	and	CCONJ
fcis-5314	4	66	convergence	convergence	NOUN
fcis-5314	4	67	speed	speed	NOUN
fcis-5314	4	68	of	of	ADP
fcis-5314	4	69	the	the	DET
fcis-5314	4	70	algorithm	algorithm	NOUN
fcis-5314	4	71	.	.	PUNCT
fcis-5314	5	1	the	the	DET
fcis-5314	5	2	simulation	simulation	NOUN
fcis-5314	5	3	results	result	NOUN
fcis-5314	5	4	show	show	VERB
fcis-5314	5	5	that	that	SCONJ
fcis-5314	5	6	the	the	DET
fcis-5314	5	7	improved	improved	ADJ
fcis-5314	5	8	genetic	genetic	ADJ
fcis-5314	5	9	algorithm	algorithm	NOUN
fcis-5314	5	10	is	be	AUX
fcis-5314	5	11	more	more	ADV
fcis-5314	5	12	suitable	suitable	ADJ
fcis-5314	5	13	for	for	ADP
fcis-5314	5	14	robot	robot	NOUN
fcis-5314	5	15	movement	movement	NOUN
fcis-5314	5	16	than	than	ADP
fcis-5314	5	17	the	the	DET
fcis-5314	5	18	basic	basic	ADJ
fcis-5314	5	19	genetic	genetic	ADJ
fcis-5314	5	20	algorithm	algorithm	NOUN
fcis-5314	5	21	.	.	PUNCT
fcis-5314	6	1	keywords	keyword	NOUN
fcis-5314	6	2	:	:	PUNCT
fcis-5314	6	3	robot	robot	NOUN
fcis-5314	6	4	;	;	PUNCT
fcis-5314	6	5	path	path	NOUN
fcis-5314	6	6	planning	planning	NOUN
fcis-5314	6	7	;	;	PUNCT
fcis-5314	6	8	genetic	genetic	ADJ
fcis-5314	6	9	algorithm	algorithm	NOUN
fcis-5314	6	10	.	.	PUNCT
fcis-5314	7	1	1	1	X
fcis-5314	7	2	.	.	X
fcis-5314	7	3	introduction	introduction	NOUN
fcis-5314	7	4	path	path	NOUN
fcis-5314	7	5	planning	planning	NOUN
fcis-5314	7	6	is	be	AUX
fcis-5314	7	7	an	an	DET
fcis-5314	7	8	important	important	ADJ
fcis-5314	7	9	part	part	NOUN
fcis-5314	7	10	of	of	ADP
fcis-5314	7	11	mobile	mobile	NOUN
fcis-5314	7	12	robots	robot	NOUN
fcis-5314	7	13	.	.	PUNCT
fcis-5314	8	1	improving	improve	VERB
fcis-5314	8	2	the	the	DET
fcis-5314	8	3	efficiency	efficiency	NOUN
fcis-5314	8	4	of	of	ADP
fcis-5314	8	5	mobile	mobile	ADJ
fcis-5314	8	6	robots	robot	NOUN
fcis-5314	8	7	and	and	CCONJ
fcis-5314	8	8	reducing	reduce	VERB
fcis-5314	8	9	the	the	DET
fcis-5314	8	10	energy	energy	NOUN
fcis-5314	8	11	consumption	consumption	NOUN
fcis-5314	8	12	of	of	ADP
fcis-5314	8	13	robots	robot	NOUN
fcis-5314	8	14	are	be	AUX
fcis-5314	8	15	the	the	DET
fcis-5314	8	16	research	research	NOUN
fcis-5314	8	17	hotspots	hotspot	NOUN
fcis-5314	8	18	nowadays	nowadays	ADV
fcis-5314	8	19	[	[	X
fcis-5314	8	20	1,2	1,2	NUM
fcis-5314	8	21	]	]	PUNCT
fcis-5314	8	22	.	.	PUNCT
fcis-5314	9	1	to	to	PART
fcis-5314	9	2	solve	solve	VERB
fcis-5314	9	3	the	the	DET
fcis-5314	9	4	problem	problem	NOUN
fcis-5314	9	5	of	of	ADP
fcis-5314	9	6	robot	robot	NOUN
fcis-5314	9	7	path	path	NOUN
fcis-5314	9	8	planning	planning	NOUN
fcis-5314	9	9	,	,	PUNCT
fcis-5314	9	10	researchers	researcher	NOUN
fcis-5314	9	11	have	have	AUX
fcis-5314	9	12	put	put	VERB
fcis-5314	9	13	forward	forward	ADV
fcis-5314	9	14	a	a	DET
fcis-5314	9	15	variety	variety	NOUN
fcis-5314	9	16	of	of	ADP
fcis-5314	9	17	methods	method	NOUN
fcis-5314	9	18	,	,	PUNCT
fcis-5314	9	19	among	among	ADP
fcis-5314	9	20	which	which	PRON
fcis-5314	9	21	the	the	DET
fcis-5314	9	22	intelligent	intelligent	ADJ
fcis-5314	9	23	optimization	optimization	NOUN
fcis-5314	9	24	algorithm	algorithm	NOUN
fcis-5314	9	25	is	be	AUX
fcis-5314	9	26	more	more	ADV
fcis-5314	9	27	widely	widely	ADV
fcis-5314	9	28	used	use	VERB
fcis-5314	9	29	,	,	PUNCT
fcis-5314	9	30	including	include	VERB
fcis-5314	9	31	genetic	genetic	ADJ
fcis-5314	9	32	algorithm	algorithm	NOUN
fcis-5314	9	33	[	[	X
fcis-5314	9	34	3	3	NUM
fcis-5314	9	35	]	]	PUNCT
fcis-5314	9	36	,	,	PUNCT
fcis-5314	9	37	ant	ant	ADJ
fcis-5314	9	38	colony	colony	NOUN
fcis-5314	9	39	algorithm	algorithm	NOUN
fcis-5314	9	40	[	[	X
fcis-5314	9	41	4	4	NUM
fcis-5314	9	42	]	]	PUNCT
fcis-5314	9	43	,	,	PUNCT
fcis-5314	9	44	particle	particle	NOUN
fcis-5314	9	45	swarm	swarm	NOUN
fcis-5314	9	46	optimization	optimization	NOUN
fcis-5314	9	47	algorithm	algorithm	NOUN
fcis-5314	10	1	[	[	X
fcis-5314	10	2	5	5	NUM
fcis-5314	10	3	]	]	PUNCT
fcis-5314	10	4	,	,	PUNCT
fcis-5314	10	5	etc	etc	X
fcis-5314	10	6	.	.	X
fcis-5314	10	7	genetic	genetic	ADJ
fcis-5314	10	8	algorithm	algorithm	NOUN
fcis-5314	10	9	is	be	AUX
fcis-5314	10	10	widely	widely	ADV
fcis-5314	10	11	used	use	VERB
fcis-5314	10	12	because	because	SCONJ
fcis-5314	10	13	of	of	ADP
fcis-5314	10	14	its	its	PRON
fcis-5314	10	15	strong	strong	ADJ
fcis-5314	10	16	robustness	robustness	NOUN
fcis-5314	10	17	.	.	PUNCT
fcis-5314	11	1	however	however	ADV
fcis-5314	11	2	,	,	PUNCT
fcis-5314	11	3	it	it	PRON
fcis-5314	11	4	has	have	VERB
fcis-5314	11	5	the	the	DET
fcis-5314	11	6	disadvantages	disadvantage	NOUN
fcis-5314	11	7	of	of	ADP
fcis-5314	11	8	slow	slow	ADJ
fcis-5314	11	9	iteration	iteration	NOUN
fcis-5314	11	10	speed	speed	NOUN
fcis-5314	11	11	and	and	CCONJ
fcis-5314	11	12	easy	easy	ADJ
fcis-5314	11	13	to	to	PART
fcis-5314	11	14	fall	fall	VERB
fcis-5314	11	15	into	into	ADP
fcis-5314	11	16	local	local	ADJ
fcis-5314	11	17	optimal	optimal	ADJ
fcis-5314	11	18	solution	solution	NOUN
fcis-5314	11	19	,	,	PUNCT
fcis-5314	11	20	which	which	PRON
fcis-5314	11	21	limits	limit	VERB
fcis-5314	11	22	its	its	PRON
fcis-5314	11	23	development	development	NOUN
fcis-5314	11	24	.	.	PUNCT
fcis-5314	12	1	sun	sun	PROPN
fcis-5314	12	2	bo	bo	PROPN
fcis-5314	12	3	and	and	CCONJ
fcis-5314	12	4	others	other	NOUN
fcis-5314	12	5	added	add	VERB
fcis-5314	12	6	the	the	DET
fcis-5314	12	7	idea	idea	NOUN
fcis-5314	12	8	of	of	ADP
fcis-5314	12	9	simulated	simulate	VERB
fcis-5314	12	10	annealing	annealing	NOUN
fcis-5314	12	11	to	to	ADP
fcis-5314	12	12	the	the	DET
fcis-5314	12	13	genetic	genetic	ADJ
fcis-5314	12	14	algorithm	algorithm	NOUN
fcis-5314	12	15	,	,	PUNCT
fcis-5314	12	16	effectively	effectively	ADV
fcis-5314	12	17	improving	improve	VERB
fcis-5314	12	18	the	the	DET
fcis-5314	12	19	global	global	ADJ
fcis-5314	12	20	search	search	NOUN
fcis-5314	12	21	ability	ability	NOUN
fcis-5314	12	22	of	of	ADP
fcis-5314	12	23	the	the	DET
fcis-5314	12	24	algorithm	algorithm	NOUN
fcis-5314	12	25	[	[	X
fcis-5314	12	26	6	6	NUM
fcis-5314	12	27	]	]	PUNCT
fcis-5314	12	28	.	.	PUNCT
fcis-5314	13	1	xu	xu	PROPN
fcis-5314	13	2	mengying	mengye	VERB
fcis-5314	13	3	and	and	CCONJ
fcis-5314	13	4	others	other	NOUN
fcis-5314	13	5	combined	combine	VERB
fcis-5314	13	6	immune	immune	ADJ
fcis-5314	13	7	clonal	clonal	ADJ
fcis-5314	13	8	operator	operator	NOUN
fcis-5314	13	9	and	and	CCONJ
fcis-5314	13	10	adaptive	adaptive	ADJ
fcis-5314	13	11	operator	operator	NOUN
fcis-5314	13	12	in	in	ADP
fcis-5314	13	13	genetic	genetic	ADJ
fcis-5314	13	14	algorithm	algorithm	NOUN
fcis-5314	13	15	,	,	PUNCT
fcis-5314	13	16	and	and	CCONJ
fcis-5314	13	17	changed	change	VERB
fcis-5314	13	18	the	the	DET
fcis-5314	13	19	coding	code	VERB
fcis-5314	13	20	method	method	NOUN
fcis-5314	13	21	to	to	PART
fcis-5314	13	22	improve	improve	VERB
fcis-5314	13	23	the	the	DET
fcis-5314	13	24	quality	quality	NOUN
fcis-5314	13	25	of	of	ADP
fcis-5314	13	26	the	the	DET
fcis-5314	13	27	solution	solution	NOUN
fcis-5314	13	28	[	[	X
fcis-5314	13	29	7	7	NUM
fcis-5314	13	30	]	]	PUNCT
fcis-5314	13	31	.	.	PUNCT
fcis-5314	14	1	the	the	DET
fcis-5314	14	2	above	above	ADJ
fcis-5314	14	3	methods	method	NOUN
fcis-5314	14	4	improve	improve	VERB
fcis-5314	14	5	the	the	DET
fcis-5314	14	6	optimization	optimization	NOUN
fcis-5314	14	7	ability	ability	NOUN
fcis-5314	14	8	of	of	ADP
fcis-5314	14	9	the	the	DET
fcis-5314	14	10	genetic	genetic	ADJ
fcis-5314	14	11	algorithm	algorithm	NOUN
fcis-5314	14	12	path	path	NOUN
fcis-5314	14	13	planning	planning	NOUN
fcis-5314	14	14	,	,	PUNCT
fcis-5314	14	15	but	but	CCONJ
fcis-5314	14	16	there	there	PRON
fcis-5314	14	17	are	be	VERB
fcis-5314	14	18	still	still	ADV
fcis-5314	14	19	shortcomings	shortcoming	NOUN
fcis-5314	14	20	such	such	ADJ
fcis-5314	14	21	as	as	ADP
fcis-5314	14	22	too	too	ADV
fcis-5314	14	23	many	many	ADJ
fcis-5314	14	24	path	path	NOUN
fcis-5314	14	25	curves	curve	NOUN
fcis-5314	14	26	and	and	CCONJ
fcis-5314	14	27	slow	slow	ADJ
fcis-5314	14	28	convergence	convergence	NOUN
fcis-5314	14	29	speed	speed	NOUN
fcis-5314	14	30	.	.	PUNCT
fcis-5314	15	1	to	to	PART
fcis-5314	15	2	solve	solve	VERB
fcis-5314	15	3	these	these	DET
fcis-5314	15	4	problems	problem	NOUN
fcis-5314	15	5	,	,	PUNCT
fcis-5314	15	6	this	this	DET
fcis-5314	15	7	paper	paper	NOUN
fcis-5314	15	8	modifies	modify	VERB
fcis-5314	15	9	the	the	DET
fcis-5314	15	10	fitness	fitness	NOUN
fcis-5314	15	11	function	function	NOUN
fcis-5314	15	12	on	on	ADP
fcis-5314	15	13	the	the	DET
fcis-5314	15	14	basis	basis	NOUN
fcis-5314	15	15	of	of	ADP
fcis-5314	15	16	the	the	DET
fcis-5314	15	17	basic	basic	ADJ
fcis-5314	15	18	genetic	genetic	ADJ
fcis-5314	15	19	algorithm	algorithm	NOUN
fcis-5314	15	20	to	to	PART
fcis-5314	15	21	adaptively	adaptively	ADV
fcis-5314	15	22	change	change	VERB
fcis-5314	15	23	the	the	DET
fcis-5314	15	24	crossover	crossover	NOUN
fcis-5314	15	25	probability	probability	NOUN
fcis-5314	15	26	and	and	CCONJ
fcis-5314	15	27	mutation	mutation	NOUN
fcis-5314	15	28	probability	probability	NOUN
fcis-5314	15	29	,	,	PUNCT
fcis-5314	15	30	and	and	CCONJ
fcis-5314	15	31	introduces	introduce	VERB
fcis-5314	15	32	the	the	DET
fcis-5314	15	33	elitist	elitist	ADJ
fcis-5314	15	34	retention	retention	NOUN
fcis-5314	15	35	strategy	strategy	NOUN
fcis-5314	15	36	in	in	ADP
fcis-5314	15	37	the	the	DET
fcis-5314	15	38	selection	selection	NOUN
fcis-5314	15	39	operation	operation	NOUN
fcis-5314	15	40	.	.	PUNCT
fcis-5314	16	1	experiments	experiment	NOUN
fcis-5314	16	2	show	show	VERB
fcis-5314	16	3	that	that	SCONJ
fcis-5314	16	4	the	the	DET
fcis-5314	16	5	improved	improved	ADJ
fcis-5314	16	6	algorithm	algorithm	NOUN
fcis-5314	16	7	effectively	effectively	ADV
fcis-5314	16	8	improves	improve	VERB
fcis-5314	16	9	the	the	DET
fcis-5314	16	10	path	path	NOUN
fcis-5314	16	11	planning	planning	NOUN
fcis-5314	16	12	performance	performance	NOUN
fcis-5314	16	13	of	of	ADP
fcis-5314	16	14	the	the	DET
fcis-5314	16	15	robot	robot	NOUN
fcis-5314	16	16	.	.	PUNCT
fcis-5314	17	1	2	2	X
fcis-5314	17	2	.	.	X
fcis-5314	17	3	path	path	NOUN
fcis-5314	17	4	planning	planning	NOUN
fcis-5314	17	5	grid	grid	NOUN
fcis-5314	17	6	model	model	NOUN
fcis-5314	17	7	path	path	PROPN
fcis-5314	17	8	planning	planning	NOUN
fcis-5314	17	9	is	be	AUX
fcis-5314	17	10	the	the	DET
fcis-5314	17	11	robot	robot	NOUN
fcis-5314	17	12	's	's	PART
fcis-5314	17	13	automatic	automatic	ADJ
fcis-5314	17	14	avoidance	avoidance	NOUN
fcis-5314	17	15	of	of	ADP
fcis-5314	17	16	obstacles	obstacle	NOUN
fcis-5314	17	17	from	from	ADP
fcis-5314	17	18	the	the	DET
fcis-5314	17	19	beginning	beginning	NOUN
fcis-5314	17	20	to	to	ADP
fcis-5314	17	21	the	the	DET
fcis-5314	17	22	end	end	NOUN
fcis-5314	17	23	.	.	PUNCT
fcis-5314	18	1	grid	grid	NOUN
fcis-5314	18	2	map	map	NOUN
fcis-5314	18	3	is	be	AUX
fcis-5314	18	4	the	the	DET
fcis-5314	18	5	most	most	ADV
fcis-5314	18	6	commonly	commonly	ADV
fcis-5314	18	7	used	use	VERB
fcis-5314	18	8	modeling	modeling	NOUN
fcis-5314	18	9	method	method	NOUN
fcis-5314	18	10	in	in	ADP
fcis-5314	18	11	path	path	NOUN
fcis-5314	18	12	planning	planning	NOUN
fcis-5314	18	13	.	.	PUNCT
fcis-5314	19	1	the	the	DET
fcis-5314	19	2	actual	actual	ADJ
fcis-5314	19	3	map	map	NOUN
fcis-5314	19	4	is	be	AUX
fcis-5314	19	5	represented	represent	VERB
fcis-5314	19	6	by	by	ADP
fcis-5314	19	7	grid	grid	NOUN
fcis-5314	19	8	.	.	PUNCT
fcis-5314	20	1	in	in	ADP
fcis-5314	20	2	a	a	DET
fcis-5314	20	3	grid	grid	NOUN
fcis-5314	20	4	map	map	NOUN
fcis-5314	20	5	,	,	PUNCT
fcis-5314	20	6	the	the	DET
fcis-5314	20	7	area	area	NOUN
fcis-5314	20	8	where	where	SCONJ
fcis-5314	20	9	the	the	DET
fcis-5314	20	10	robot	robot	NOUN
fcis-5314	20	11	can	can	AUX
fcis-5314	20	12	move	move	VERB
fcis-5314	20	13	freely	freely	ADV
fcis-5314	20	14	is	be	AUX
fcis-5314	20	15	called	call	VERB
fcis-5314	20	16	free	free	ADJ
fcis-5314	20	17	grid	grid	NOUN
fcis-5314	20	18	,	,	PUNCT
fcis-5314	20	19	and	and	CCONJ
fcis-5314	20	20	the	the	DET
fcis-5314	20	21	area	area	NOUN
fcis-5314	20	22	where	where	SCONJ
fcis-5314	20	23	the	the	DET
fcis-5314	20	24	robot	robot	NOUN
fcis-5314	20	25	can	can	AUX
fcis-5314	20	26	not	not	PART
fcis-5314	20	27	move	move	VERB
fcis-5314	20	28	freely	freely	ADV
fcis-5314	20	29	is	be	AUX
fcis-5314	20	30	called	call	VERB
fcis-5314	20	31	obstacle	obstacle	NOUN
fcis-5314	20	32	grid	grid	NOUN
fcis-5314	20	33	.	.	PUNCT
fcis-5314	21	1	figure	figure	NOUN
fcis-5314	21	2	1	1	NUM
fcis-5314	21	3	is	be	AUX
fcis-5314	21	4	an	an	DET
fcis-5314	21	5	example	example	NOUN
fcis-5314	21	6	of	of	ADP
fcis-5314	21	7	grid	grid	NOUN
fcis-5314	21	8	map	map	NOUN
fcis-5314	21	9	.	.	PUNCT
fcis-5314	22	1	the	the	DET
fcis-5314	22	2	white	white	ADJ
fcis-5314	22	3	area	area	NOUN
fcis-5314	22	4	in	in	ADP
fcis-5314	22	5	the	the	DET
fcis-5314	22	6	figure	figure	NOUN
fcis-5314	22	7	represents	represent	VERB
fcis-5314	22	8	the	the	DET
fcis-5314	22	9	free	free	ADJ
fcis-5314	22	10	grid	grid	NOUN
fcis-5314	22	11	,	,	PUNCT
fcis-5314	22	12	and	and	CCONJ
fcis-5314	22	13	the	the	DET
fcis-5314	22	14	black	black	ADJ
fcis-5314	22	15	area	area	NOUN
fcis-5314	22	16	represents	represent	VERB
fcis-5314	22	17	the	the	DET
fcis-5314	22	18	obstacle	obstacle	NOUN
fcis-5314	22	19	grid	grid	NOUN
fcis-5314	22	20	.	.	PUNCT
fcis-5314	23	1	given	give	VERB
fcis-5314	23	2	a	a	DET
fcis-5314	23	3	starting	starting	NOUN
fcis-5314	23	4	point	point	NOUN
fcis-5314	23	5	and	and	CCONJ
fcis-5314	23	6	an	an	DET
fcis-5314	23	7	end	end	NOUN
fcis-5314	23	8	point	point	NOUN
fcis-5314	23	9	,	,	PUNCT
fcis-5314	23	10	there	there	PRON
fcis-5314	23	11	are	be	VERB
fcis-5314	23	12	many	many	ADJ
fcis-5314	23	13	paths	path	NOUN
fcis-5314	23	14	between	between	ADP
fcis-5314	23	15	the	the	DET
fcis-5314	23	16	two	two	NUM
fcis-5314	23	17	points	point	NOUN
fcis-5314	23	18	.	.	PUNCT
fcis-5314	24	1	the	the	DET
fcis-5314	24	2	purpose	purpose	NOUN
fcis-5314	24	3	of	of	ADP
fcis-5314	24	4	robot	robot	NOUN
fcis-5314	24	5	path	path	NOUN
fcis-5314	24	6	planning	planning	NOUN
fcis-5314	24	7	is	be	AUX
fcis-5314	24	8	to	to	PART
fcis-5314	24	9	select	select	VERB
fcis-5314	24	10	the	the	DET
fcis-5314	24	11	most	most	ADV
fcis-5314	24	12	suitable	suitable	ADJ
fcis-5314	24	13	path	path	NOUN
fcis-5314	24	14	without	without	ADP
fcis-5314	24	15	touching	touch	VERB
fcis-5314	24	16	obstacles	obstacle	NOUN
fcis-5314	24	17	.	.	PUNCT
fcis-5314	25	1	fig	fig	NOUN
fcis-5314	25	2	.	.	PUNCT
fcis-5314	26	1	1	1	NUM
fcis-5314	26	2	path	path	NOUN
fcis-5314	26	3	planning	planning	NOUN
fcis-5314	26	4	grid	grid	NOUN
fcis-5314	26	5	map	map	NOUN
fcis-5314	26	6	3	3	NUM
fcis-5314	26	7	.	.	NUM
fcis-5314	26	8	improved	improve	VERB
fcis-5314	26	9	genetic	genetic	ADJ
fcis-5314	26	10	algorithm	algorithm	NOUN
fcis-5314	26	11	3.1	3.1	NUM
fcis-5314	26	12	.	.	PUNCT
fcis-5314	27	1	fitness	fitness	NOUN
fcis-5314	27	2	function	function	PROPN
fcis-5314	27	3	energy	energy	NOUN
fcis-5314	27	4	consumption	consumption	NOUN
fcis-5314	27	5	is	be	AUX
fcis-5314	27	6	an	an	DET
fcis-5314	27	7	important	important	ADJ
fcis-5314	27	8	consideration	consideration	NOUN
fcis-5314	27	9	for	for	ADP
fcis-5314	27	10	robot	robot	NOUN
fcis-5314	27	11	movement	movement	NOUN
fcis-5314	27	12	.	.	PUNCT
fcis-5314	28	1	the	the	DET
fcis-5314	28	2	methods	method	NOUN
fcis-5314	28	3	to	to	PART
fcis-5314	28	4	reduce	reduce	VERB
fcis-5314	28	5	robot	robot	NOUN
fcis-5314	28	6	energy	energy	NOUN
fcis-5314	28	7	consumption	consumption	NOUN
fcis-5314	28	8	include	include	VERB
fcis-5314	28	9	shortening	shorten	VERB
fcis-5314	28	10	the	the	DET
fcis-5314	28	11	moving	move	VERB
fcis-5314	28	12	distance	distance	NOUN
fcis-5314	28	13	,	,	PUNCT
fcis-5314	28	14	reducing	reduce	VERB
fcis-5314	28	15	the	the	DET
fcis-5314	28	16	turning	turn	VERB
fcis-5314	28	17	angle	angle	NOUN
fcis-5314	28	18	and	and	CCONJ
fcis-5314	28	19	reducing	reduce	VERB
fcis-5314	28	20	the	the	DET
fcis-5314	28	21	number	number	NOUN
fcis-5314	28	22	of	of	ADP
fcis-5314	28	23	turns	turn	NOUN
fcis-5314	28	24	.	.	PUNCT
fcis-5314	29	1	the	the	DET
fcis-5314	29	2	improved	improved	ADJ
fcis-5314	29	3	fitness	fitness	NOUN
fcis-5314	29	4	function	function	NOUN
fcis-5314	29	5	is	be	AUX
fcis-5314	29	6	as	as	SCONJ
fcis-5314	29	7	follows	follow	VERB
fcis-5314	29	8	:	:	PUNCT
fcis-5314	30	1	fit	fit	VERB
fcis-5314	30	2	=	=	PUNCT
fcis-5314	30	3	a	a	DET
fcis-5314	30	4	×	×	NOUN
fcis-5314	30	5	fit1	fit1	NOUN
fcis-5314	31	1	+	+	CCONJ
fcis-5314	31	2	b	b	PROPN
fcis-5314	31	3	×	×	PROPN
fcis-5314	31	4	fit2	fit2	NOUN
fcis-5314	31	5	(	(	PUNCT
fcis-5314	31	6	1	1	NUM
fcis-5314	31	7	)	)	PUNCT
fcis-5314	31	8	where	where	SCONJ
fcis-5314	31	9	,	,	PUNCT
fcis-5314	31	10	a	a	PRON
fcis-5314	31	11	and	and	CCONJ
fcis-5314	31	12	b	b	NOUN
fcis-5314	31	13	are	be	AUX
fcis-5314	31	14	the	the	DET
fcis-5314	31	15	weights	weight	NOUN
fcis-5314	31	16	of	of	ADP
fcis-5314	31	17	length	length	NOUN
fcis-5314	31	18	factor	factor	NOUN
fcis-5314	31	19	and	and	CCONJ
fcis-5314	31	20	smoothness	smoothness	ADJ
fcis-5314	31	21	factor	factor	NOUN
fcis-5314	31	22	,	,	PUNCT
fcis-5314	31	23	fit1	fit1	PROPN
fcis-5314	31	24	is	be	AUX
fcis-5314	31	25	the	the	DET
fcis-5314	31	26	length	length	NOUN
fcis-5314	31	27	factor	factor	NOUN
fcis-5314	31	28	expression	expression	NOUN
fcis-5314	31	29	as	as	SCONJ
fcis-5314	31	30	follows	follow	VERB
fcis-5314	31	31	:	:	PUNCT
fcis-5314	31	32	fit1	fit1	NOUN
fcis-5314	31	33	=	=	SYM
fcis-5314	31	34	1	1	NUM
fcis-5314	31	35	length	length	NOUN
fcis-5314	31	36	(	(	PUNCT
fcis-5314	31	37	2	2	NUM
fcis-5314	31	38	)	)	PUNCT
fcis-5314	31	39	l	l	NOUN
fcis-5314	32	1	=	=	SYM
fcis-5314	32	2	abs(xi	abs(xi	NUM
fcis-5314	32	3	−	−	NOUN
fcis-5314	32	4	xi+1	xi+1	NOUN
fcis-5314	32	5	)	)	PUNCT
fcis-5314	33	1	+	+	CCONJ
fcis-5314	33	2	abs(yi	abs(yi	AUX
fcis-5314	33	3	−	−	PROPN
fcis-5314	33	4	yi+1	yi+1	NOUN
fcis-5314	33	5	)	)	PUNCT
fcis-5314	33	6	(	(	PUNCT
fcis-5314	33	7	3	3	X
fcis-5314	33	8	)	)	PUNCT
fcis-5314	33	9	lenth	lenth	NOUN
fcis-5314	33	10	=	=	SYM
fcis-5314	33	11	∑	∑	PUNCT
fcis-5314	33	12	{	{	PUNCT
fcis-5314	33	13	lenth	lenth	PROPN
fcis-5314	33	14	+	+	CCONJ
fcis-5314	33	15	1	1	NUM
fcis-5314	33	16	(	(	PUNCT
fcis-5314	33	17	l	l	NOUN
fcis-5314	33	18	=	=	SYM
fcis-5314	33	19	1	1	X
fcis-5314	33	20	)	)	PUNCT
fcis-5314	33	21	lenth	lenth	PROPN
fcis-5314	33	22	+	+	SYM
fcis-5314	33	23	sqrt(2	sqrt(2	NOUN
fcis-5314	33	24	)	)	PUNCT
fcis-5314	33	25	(	(	PUNCT
fcis-5314	33	26	l	l	X
fcis-5314	33	27	>	>	X
fcis-5314	33	28	1	1	X
fcis-5314	33	29	)	)	PUNCT
fcis-5314	33	30	end−1	end−1	X
fcis-5314	33	31	i=1	i=1	PROPN
fcis-5314	33	32	(	(	PUNCT
fcis-5314	33	33	4	4	NUM
fcis-5314	33	34	)	)	PUNCT
fcis-5314	33	35	79	79	NUM
fcis-5314	33	36	x	x	NOUN
fcis-5314	33	37	and	and	CCONJ
fcis-5314	33	38	y	y	PROPN
fcis-5314	33	39	represent	represent	VERB
fcis-5314	33	40	the	the	DET
fcis-5314	33	41	coordinates	coordinate	NOUN
fcis-5314	33	42	of	of	ADP
fcis-5314	33	43	the	the	DET
fcis-5314	33	44	grid	grid	NOUN
fcis-5314	33	45	,	,	PUNCT
fcis-5314	33	46	fit2	fit2	NOUN
fcis-5314	33	47	is	be	AUX
fcis-5314	33	48	the	the	DET
fcis-5314	33	49	smoothness	smoothness	ADJ
fcis-5314	33	50	factor	factor	NOUN
fcis-5314	33	51	,	,	PUNCT
fcis-5314	33	52	and	and	CCONJ
fcis-5314	33	53	the	the	DET
fcis-5314	33	54	expression	expression	NOUN
fcis-5314	33	55	is	be	AUX
fcis-5314	33	56	as	as	SCONJ
fcis-5314	33	57	follows	follow	VERB
fcis-5314	33	58	:	:	PUNCT
fcis-5314	33	59	fit2	fit2	NOUN
fcis-5314	33	60	=	=	SYM
fcis-5314	33	61	∑	∑	PROPN
fcis-5314	33	62	1	1	NUM
fcis-5314	33	63	pθi	pθi	NOUN
fcis-5314	33	64	+	+	CCONJ
fcis-5314	33	65	pti	pti	PROPN
fcis-5314	33	66	end−1	end−1	PROPN
fcis-5314	33	67	i=1	i=1	PROPN
fcis-5314	33	68	(	(	PUNCT
fcis-5314	33	69	5	5	NUM
fcis-5314	33	70	)	)	PUNCT
fcis-5314	33	71	where	where	SCONJ
fcis-5314	33	72	,	,	PUNCT
fcis-5314	33	73	pθi	pθi	NOUN
fcis-5314	33	74	is	be	AUX
fcis-5314	33	75	the	the	DET
fcis-5314	33	76	penalty	penalty	NOUN
fcis-5314	33	77	imposed	impose	VERB
fcis-5314	33	78	by	by	ADP
fcis-5314	33	79	the	the	DET
fcis-5314	33	80	turning	turn	VERB
fcis-5314	33	81	angle	angle	NOUN
fcis-5314	33	82	between	between	ADP
fcis-5314	33	83	two	two	NUM
fcis-5314	33	84	adjacent	adjacent	ADJ
fcis-5314	33	85	grids	grid	NOUN
fcis-5314	33	86	on	on	ADP
fcis-5314	33	87	the	the	DET
fcis-5314	33	88	path	path	NOUN
fcis-5314	33	89	.	.	PUNCT
fcis-5314	34	1	the	the	PRON
fcis-5314	34	2	greater	great	ADJ
fcis-5314	34	3	the	the	DET
fcis-5314	34	4	turning	turn	VERB
fcis-5314	34	5	angle	angle	NOUN
fcis-5314	34	6	,	,	PUNCT
fcis-5314	34	7	the	the	PRON
fcis-5314	34	8	greater	great	ADJ
fcis-5314	34	9	the	the	DET
fcis-5314	34	10	value	value	NOUN
fcis-5314	34	11	of	of	ADP
fcis-5314	34	12	pθi	pθi	NOUN
fcis-5314	34	13	.	.	PUNCT
fcis-5314	35	1	pti	pti	PROPN
fcis-5314	35	2	is	be	AUX
fcis-5314	35	3	the	the	DET
fcis-5314	35	4	penalty	penalty	NOUN
fcis-5314	35	5	for	for	ADP
fcis-5314	35	6	the	the	DET
fcis-5314	35	7	number	number	NOUN
fcis-5314	35	8	of	of	ADP
fcis-5314	35	9	turns	turn	NOUN
fcis-5314	35	10	of	of	ADP
fcis-5314	35	11	the	the	DET
fcis-5314	35	12	path	path	NOUN
fcis-5314	35	13	.	.	PUNCT
fcis-5314	36	1	the	the	DET
fcis-5314	36	2	more	more	ADJ
fcis-5314	36	3	turns	turn	NOUN
fcis-5314	36	4	,	,	PUNCT
fcis-5314	36	5	the	the	PRON
fcis-5314	36	6	greater	great	ADJ
fcis-5314	36	7	the	the	DET
fcis-5314	36	8	value	value	NOUN
fcis-5314	36	9	of	of	ADP
fcis-5314	36	10	pti	pti	PROPN
fcis-5314	36	11	.	.	PROPN
fcis-5314	37	1	3.2	3.2	NUM
fcis-5314	37	2	.	.	PUNCT
fcis-5314	38	1	select	select	ADJ
fcis-5314	38	2	action	action	NOUN
fcis-5314	38	3	selection	selection	NOUN
fcis-5314	38	4	operation	operation	NOUN
fcis-5314	38	5	is	be	AUX
fcis-5314	38	6	the	the	DET
fcis-5314	38	7	most	most	ADV
fcis-5314	38	8	important	important	ADJ
fcis-5314	38	9	step	step	NOUN
fcis-5314	38	10	in	in	ADP
fcis-5314	38	11	genetic	genetic	ADJ
fcis-5314	38	12	algorithm	algorithm	NOUN
fcis-5314	38	13	.	.	PUNCT
fcis-5314	39	1	according	accord	VERB
fcis-5314	39	2	to	to	ADP
fcis-5314	39	3	the	the	DET
fcis-5314	39	4	fitness	fitness	NOUN
fcis-5314	39	5	of	of	ADP
fcis-5314	39	6	each	each	DET
fcis-5314	39	7	individual	individual	NOUN
fcis-5314	39	8	,	,	PUNCT
fcis-5314	39	9	individuals	individual	NOUN
fcis-5314	39	10	with	with	ADP
fcis-5314	39	11	high	high	ADJ
fcis-5314	39	12	fitness	fitness	NOUN
fcis-5314	39	13	can	can	AUX
fcis-5314	39	14	be	be	AUX
fcis-5314	39	15	retained	retain	VERB
fcis-5314	39	16	through	through	ADP
fcis-5314	39	17	roulette	roulette	NOUN
fcis-5314	39	18	.	.	PUNCT
fcis-5314	40	1	however	however	ADV
fcis-5314	40	2	,	,	PUNCT
fcis-5314	40	3	roulette	roulette	NOUN
fcis-5314	40	4	is	be	AUX
fcis-5314	40	5	random	random	ADJ
fcis-5314	40	6	,	,	PUNCT
fcis-5314	40	7	and	and	CCONJ
fcis-5314	40	8	individuals	individual	NOUN
fcis-5314	40	9	with	with	ADP
fcis-5314	40	10	high	high	ADJ
fcis-5314	40	11	adaptability	adaptability	NOUN
fcis-5314	40	12	may	may	AUX
fcis-5314	40	13	also	also	ADV
fcis-5314	40	14	be	be	AUX
fcis-5314	40	15	eliminated	eliminate	VERB
fcis-5314	40	16	.	.	PUNCT
fcis-5314	41	1	to	to	PART
fcis-5314	41	2	avoid	avoid	VERB
fcis-5314	41	3	this	this	PRON
fcis-5314	41	4	,	,	PUNCT
fcis-5314	41	5	the	the	DET
fcis-5314	41	6	elite	elite	ADJ
fcis-5314	41	7	retention	retention	NOUN
fcis-5314	41	8	strategy	strategy	NOUN
fcis-5314	41	9	is	be	AUX
fcis-5314	41	10	added	add	VERB
fcis-5314	41	11	in	in	ADP
fcis-5314	41	12	the	the	DET
fcis-5314	41	13	selection	selection	NOUN
fcis-5314	41	14	process	process	NOUN
fcis-5314	41	15	.	.	PUNCT
fcis-5314	42	1	before	before	ADP
fcis-5314	42	2	roulette	roulette	NOUN
fcis-5314	42	3	,	,	PUNCT
fcis-5314	42	4	the	the	DET
fcis-5314	42	5	individuals	individual	NOUN
fcis-5314	42	6	with	with	ADP
fcis-5314	42	7	the	the	DET
fcis-5314	42	8	highest	high	ADJ
fcis-5314	42	9	fitness	fitness	NOUN
fcis-5314	42	10	will	will	AUX
fcis-5314	42	11	be	be	AUX
fcis-5314	42	12	selected	select	VERB
fcis-5314	42	13	first	first	ADV
fcis-5314	42	14	,	,	PUNCT
fcis-5314	42	15	and	and	CCONJ
fcis-5314	42	16	will	will	AUX
fcis-5314	42	17	not	not	PART
fcis-5314	42	18	participate	participate	VERB
fcis-5314	42	19	in	in	ADP
fcis-5314	42	20	the	the	DET
fcis-5314	42	21	subsequent	subsequent	ADJ
fcis-5314	42	22	roulette	roulette	NOUN
fcis-5314	42	23	.	.	PUNCT
fcis-5314	43	1	finally	finally	ADV
fcis-5314	43	2	,	,	PUNCT
fcis-5314	43	3	the	the	DET
fcis-5314	43	4	individuals	individual	NOUN
fcis-5314	43	5	with	with	ADP
fcis-5314	43	6	the	the	DET
fcis-5314	43	7	highest	high	ADJ
fcis-5314	43	8	fitness	fitness	NOUN
fcis-5314	43	9	will	will	AUX
fcis-5314	43	10	be	be	AUX
fcis-5314	43	11	selected	select	VERB
fcis-5314	43	12	together	together	ADV
fcis-5314	43	13	with	with	ADP
fcis-5314	43	14	the	the	DET
fcis-5314	43	15	individuals	individual	NOUN
fcis-5314	43	16	selected	select	VERB
fcis-5314	43	17	by	by	ADP
fcis-5314	43	18	roulette	roulette	NOUN
fcis-5314	43	19	for	for	ADP
fcis-5314	43	20	the	the	DET
fcis-5314	43	21	subsequent	subsequent	ADJ
fcis-5314	43	22	crossover	crossover	NOUN
fcis-5314	43	23	operation	operation	NOUN
fcis-5314	43	24	and	and	CCONJ
fcis-5314	43	25	mutation	mutation	NOUN
fcis-5314	43	26	operation	operation	NOUN
fcis-5314	43	27	,	,	PUNCT
fcis-5314	43	28	which	which	PRON
fcis-5314	43	29	can	can	AUX
fcis-5314	43	30	effectively	effectively	ADV
fcis-5314	43	31	prevent	prevent	VERB
fcis-5314	43	32	the	the	DET
fcis-5314	43	33	loss	loss	NOUN
fcis-5314	43	34	of	of	ADP
fcis-5314	43	35	elite	elite	ADJ
fcis-5314	43	36	individuals	individual	NOUN
fcis-5314	43	37	and	and	CCONJ
fcis-5314	43	38	speed	speed	VERB
fcis-5314	43	39	up	up	ADP
fcis-5314	43	40	the	the	DET
fcis-5314	43	41	iterative	iterative	NOUN
fcis-5314	43	42	efficiency	efficiency	NOUN
fcis-5314	43	43	of	of	ADP
fcis-5314	43	44	the	the	DET
fcis-5314	43	45	algorithm	algorithm	NOUN
fcis-5314	43	46	.	.	PUNCT
fcis-5314	44	1	3.3	3.3	NUM
fcis-5314	44	2	.	.	PUNCT
fcis-5314	45	1	adaptive	adaptive	ADJ
fcis-5314	45	2	change	change	NOUN
fcis-5314	45	3	of	of	ADP
fcis-5314	45	4	crossover	crossover	NOUN
fcis-5314	45	5	probability	probability	NOUN
fcis-5314	45	6	and	and	CCONJ
fcis-5314	45	7	mutation	mutation	NOUN
fcis-5314	45	8	probability	probability	NOUN
fcis-5314	45	9	crossover	crossover	NOUN
fcis-5314	45	10	probability	probability	NOUN
fcis-5314	45	11	refers	refer	VERB
fcis-5314	45	12	to	to	ADP
fcis-5314	45	13	the	the	DET
fcis-5314	45	14	probability	probability	NOUN
fcis-5314	45	15	of	of	ADP
fcis-5314	45	16	crossover	crossover	NOUN
fcis-5314	45	17	operation	operation	NOUN
fcis-5314	45	18	during	during	ADP
fcis-5314	45	19	each	each	DET
fcis-5314	45	20	iteration	iteration	NOUN
fcis-5314	45	21	.	.	PUNCT
fcis-5314	46	1	crossover	crossover	NOUN
fcis-5314	46	2	operation	operation	NOUN
fcis-5314	46	3	refers	refer	VERB
fcis-5314	46	4	to	to	ADP
fcis-5314	46	5	swapping	swap	VERB
fcis-5314	46	6	and	and	CCONJ
fcis-5314	46	7	recombining	recombine	VERB
fcis-5314	46	8	two	two	NUM
fcis-5314	46	9	intersecting	intersecting	ADJ
fcis-5314	46	10	paths	path	NOUN
fcis-5314	46	11	,	,	PUNCT
fcis-5314	46	12	resulting	result	VERB
fcis-5314	46	13	in	in	ADP
fcis-5314	46	14	two	two	NUM
fcis-5314	46	15	sub	sub	NOUN
fcis-5314	46	16	-	-	NOUN
fcis-5314	46	17	paths	path	NOUN
fcis-5314	46	18	.	.	PUNCT
fcis-5314	47	1	this	this	DET
fcis-5314	47	2	method	method	NOUN
fcis-5314	47	3	can	can	AUX
fcis-5314	47	4	generate	generate	VERB
fcis-5314	47	5	new	new	ADJ
fcis-5314	47	6	sub	sub	NOUN
fcis-5314	47	7	-	-	NOUN
fcis-5314	47	8	paths	path	NOUN
fcis-5314	47	9	,	,	PUNCT
fcis-5314	47	10	and	and	CCONJ
fcis-5314	47	11	then	then	ADV
fcis-5314	47	12	retain	retain	VERB
fcis-5314	47	13	the	the	DET
fcis-5314	47	14	paths	path	NOUN
fcis-5314	47	15	with	with	ADP
fcis-5314	47	16	good	good	ADJ
fcis-5314	47	17	fitness	fitness	NOUN
fcis-5314	47	18	,	,	PUNCT
fcis-5314	47	19	and	and	CCONJ
fcis-5314	47	20	discard	discard	VERB
fcis-5314	47	21	the	the	DET
fcis-5314	47	22	paths	path	NOUN
fcis-5314	47	23	with	with	ADP
fcis-5314	47	24	poor	poor	ADJ
fcis-5314	47	25	fitness	fitness	NOUN
fcis-5314	47	26	.	.	PUNCT
fcis-5314	48	1	the	the	DET
fcis-5314	48	2	principle	principle	NOUN
fcis-5314	48	3	of	of	ADP
fcis-5314	48	4	this	this	DET
fcis-5314	48	5	method	method	NOUN
fcis-5314	48	6	is	be	AUX
fcis-5314	48	7	similar	similar	ADJ
fcis-5314	48	8	to	to	ADP
fcis-5314	48	9	that	that	PRON
fcis-5314	48	10	of	of	ADP
fcis-5314	48	11	gene	gene	NOUN
fcis-5314	48	12	recombination	recombination	NOUN
fcis-5314	48	13	.	.	PUNCT
fcis-5314	49	1	after	after	ADP
fcis-5314	49	2	crossover	crossover	NOUN
fcis-5314	49	3	operation	operation	NOUN
fcis-5314	49	4	,	,	PUNCT
fcis-5314	49	5	the	the	DET
fcis-5314	49	6	fitness	fitness	NOUN
fcis-5314	49	7	of	of	ADP
fcis-5314	49	8	the	the	DET
fcis-5314	49	9	sub	sub	NOUN
fcis-5314	49	10	-	-	NOUN
fcis-5314	49	11	path	path	NOUN
fcis-5314	49	12	may	may	AUX
fcis-5314	49	13	be	be	AUX
fcis-5314	49	14	higher	high	ADJ
fcis-5314	49	15	than	than	ADP
fcis-5314	49	16	that	that	PRON
fcis-5314	49	17	of	of	ADP
fcis-5314	49	18	the	the	DET
fcis-5314	49	19	parent	parent	NOUN
fcis-5314	49	20	path	path	NOUN
fcis-5314	49	21	,	,	PUNCT
fcis-5314	49	22	so	so	SCONJ
fcis-5314	49	23	as	as	SCONJ
fcis-5314	49	24	to	to	PART
fcis-5314	49	25	achieve	achieve	VERB
fcis-5314	49	26	the	the	DET
fcis-5314	49	27	purpose	purpose	NOUN
fcis-5314	49	28	of	of	ADP
fcis-5314	49	29	finding	find	VERB
fcis-5314	49	30	the	the	DET
fcis-5314	49	31	best	good	ADJ
fcis-5314	49	32	path	path	NOUN
fcis-5314	49	33	.	.	PUNCT
fcis-5314	50	1	mutation	mutation	NOUN
fcis-5314	50	2	probability	probability	NOUN
fcis-5314	50	3	refers	refer	VERB
fcis-5314	50	4	to	to	ADP
fcis-5314	50	5	the	the	DET
fcis-5314	50	6	probability	probability	NOUN
fcis-5314	50	7	of	of	ADP
fcis-5314	50	8	mutation	mutation	NOUN
fcis-5314	50	9	operation	operation	NOUN
fcis-5314	50	10	during	during	ADP
fcis-5314	50	11	each	each	DET
fcis-5314	50	12	iteration	iteration	NOUN
fcis-5314	50	13	.	.	PUNCT
fcis-5314	51	1	mutation	mutation	NOUN
fcis-5314	51	2	operation	operation	NOUN
fcis-5314	51	3	refers	refer	VERB
fcis-5314	51	4	to	to	PART
fcis-5314	51	5	randomly	randomly	ADV
fcis-5314	51	6	selecting	select	VERB
fcis-5314	51	7	a	a	DET
fcis-5314	51	8	new	new	ADJ
fcis-5314	51	9	point	point	NOUN
fcis-5314	51	10	in	in	ADP
fcis-5314	51	11	the	the	DET
fcis-5314	51	12	path	path	NOUN
fcis-5314	51	13	,	,	PUNCT
fcis-5314	51	14	and	and	CCONJ
fcis-5314	51	15	then	then	ADV
fcis-5314	51	16	replacing	replace	VERB
fcis-5314	51	17	the	the	DET
fcis-5314	51	18	original	original	ADJ
fcis-5314	51	19	point	point	NOUN
fcis-5314	51	20	in	in	ADP
fcis-5314	51	21	the	the	DET
fcis-5314	51	22	path	path	NOUN
fcis-5314	51	23	,	,	PUNCT
fcis-5314	51	24	so	so	SCONJ
fcis-5314	51	25	that	that	SCONJ
fcis-5314	51	26	a	a	DET
fcis-5314	51	27	new	new	ADJ
fcis-5314	51	28	path	path	NOUN
fcis-5314	51	29	will	will	AUX
fcis-5314	51	30	be	be	AUX
fcis-5314	51	31	created	create	VERB
fcis-5314	51	32	.	.	PUNCT
fcis-5314	52	1	the	the	DET
fcis-5314	52	2	value	value	NOUN
fcis-5314	52	3	of	of	ADP
fcis-5314	52	4	crossover	crossover	NOUN
fcis-5314	52	5	probability	probability	NOUN
fcis-5314	52	6	and	and	CCONJ
fcis-5314	52	7	mutation	mutation	NOUN
fcis-5314	52	8	probability	probability	NOUN
fcis-5314	52	9	will	will	AUX
fcis-5314	52	10	affect	affect	VERB
fcis-5314	52	11	the	the	DET
fcis-5314	52	12	convergence	convergence	NOUN
fcis-5314	52	13	rate	rate	NOUN
fcis-5314	52	14	and	and	CCONJ
fcis-5314	52	15	final	final	ADJ
fcis-5314	52	16	solution	solution	NOUN
fcis-5314	52	17	of	of	ADP
fcis-5314	52	18	the	the	DET
fcis-5314	52	19	algorithm	algorithm	NOUN
fcis-5314	52	20	,	,	PUNCT
fcis-5314	52	21	so	so	CCONJ
fcis-5314	52	22	it	it	PRON
fcis-5314	52	23	is	be	AUX
fcis-5314	52	24	not	not	PART
fcis-5314	52	25	suitable	suitable	ADJ
fcis-5314	52	26	to	to	PART
fcis-5314	52	27	choose	choose	VERB
fcis-5314	52	28	a	a	DET
fcis-5314	52	29	fixed	fix	VERB
fcis-5314	52	30	crossover	crossover	NOUN
fcis-5314	52	31	probability	probability	NOUN
fcis-5314	52	32	and	and	CCONJ
fcis-5314	52	33	mutation	mutation	NOUN
fcis-5314	52	34	probability	probability	NOUN
fcis-5314	52	35	.	.	PUNCT
fcis-5314	53	1	in	in	ADP
fcis-5314	53	2	order	order	NOUN
fcis-5314	53	3	to	to	PART
fcis-5314	53	4	improve	improve	VERB
fcis-5314	53	5	the	the	DET
fcis-5314	53	6	performance	performance	NOUN
fcis-5314	53	7	of	of	ADP
fcis-5314	53	8	the	the	DET
fcis-5314	53	9	algorithm	algorithm	NOUN
fcis-5314	53	10	,	,	PUNCT
fcis-5314	53	11	this	this	DET
fcis-5314	53	12	paper	paper	NOUN
fcis-5314	53	13	proposes	propose	VERB
fcis-5314	53	14	a	a	DET
fcis-5314	53	15	scheme	scheme	NOUN
fcis-5314	53	16	to	to	PART
fcis-5314	53	17	adaptively	adaptively	ADV
fcis-5314	53	18	adjust	adjust	VERB
fcis-5314	53	19	the	the	DET
fcis-5314	53	20	crossover	crossover	NOUN
fcis-5314	53	21	probability	probability	NOUN
fcis-5314	53	22	and	and	CCONJ
fcis-5314	53	23	mutation	mutation	NOUN
fcis-5314	53	24	probability	probability	NOUN
fcis-5314	53	25	.	.	PUNCT
fcis-5314	54	1	the	the	DET
fcis-5314	54	2	convergence	convergence	NOUN
fcis-5314	54	3	speed	speed	NOUN
fcis-5314	54	4	of	of	ADP
fcis-5314	54	5	the	the	DET
fcis-5314	54	6	current	current	ADJ
fcis-5314	54	7	algorithm	algorithm	NOUN
fcis-5314	54	8	is	be	AUX
fcis-5314	54	9	measured	measure	VERB
fcis-5314	54	10	by	by	ADP
fcis-5314	54	11	using	use	VERB
fcis-5314	54	12	the	the	DET
fcis-5314	54	13	sum	sum	NOUN
fcis-5314	54	14	of	of	ADP
fcis-5314	54	15	the	the	DET
fcis-5314	54	16	average	average	ADJ
fcis-5314	54	17	value	value	NOUN
fcis-5314	54	18	of	of	ADP
fcis-5314	54	19	the	the	DET
fcis-5314	54	20	length	length	NOUN
fcis-5314	54	21	factor	factor	NOUN
fcis-5314	54	22	and	and	CCONJ
fcis-5314	54	23	the	the	DET
fcis-5314	54	24	average	average	ADJ
fcis-5314	54	25	value	value	NOUN
fcis-5314	54	26	of	of	ADP
fcis-5314	54	27	the	the	DET
fcis-5314	54	28	smoothness	smoothness	ADJ
fcis-5314	54	29	factor	factor	NOUN
fcis-5314	54	30	of	of	ADP
fcis-5314	54	31	the	the	DET
fcis-5314	54	32	current	current	ADJ
fcis-5314	54	33	generation	generation	NOUN
fcis-5314	54	34	population	population	NOUN
fcis-5314	54	35	to	to	PART
fcis-5314	54	36	compare	compare	VERB
fcis-5314	54	37	with	with	ADP
fcis-5314	54	38	the	the	DET
fcis-5314	54	39	sum	sum	NOUN
fcis-5314	54	40	of	of	ADP
fcis-5314	54	41	the	the	DET
fcis-5314	54	42	average	average	ADJ
fcis-5314	54	43	value	value	NOUN
fcis-5314	54	44	of	of	ADP
fcis-5314	54	45	the	the	DET
fcis-5314	54	46	length	length	NOUN
fcis-5314	54	47	factor	factor	NOUN
fcis-5314	54	48	and	and	CCONJ
fcis-5314	54	49	the	the	DET
fcis-5314	54	50	average	average	ADJ
fcis-5314	54	51	value	value	NOUN
fcis-5314	54	52	of	of	ADP
fcis-5314	54	53	the	the	DET
fcis-5314	54	54	smoothness	smoothness	ADJ
fcis-5314	54	55	factor	factor	NOUN
fcis-5314	54	56	of	of	ADP
fcis-5314	54	57	the	the	DET
fcis-5314	54	58	previous	previous	ADJ
fcis-5314	54	59	generation	generation	NOUN
fcis-5314	54	60	population	population	NOUN
fcis-5314	54	61	.	.	PUNCT
fcis-5314	55	1	a	a	DET
fcis-5314	55	2	larger	large	ADJ
fcis-5314	55	3	ratio	ratio	NOUN
fcis-5314	55	4	indicates	indicate	VERB
fcis-5314	55	5	that	that	SCONJ
fcis-5314	55	6	the	the	DET
fcis-5314	55	7	algorithm	algorithm	NOUN
fcis-5314	55	8	is	be	AUX
fcis-5314	55	9	close	close	ADJ
fcis-5314	55	10	to	to	AUX
fcis-5314	55	11	stable	stable	ADJ
fcis-5314	55	12	,	,	PUNCT
fcis-5314	55	13	and	and	CCONJ
fcis-5314	55	14	the	the	DET
fcis-5314	55	15	mutation	mutation	NOUN
fcis-5314	55	16	probability	probability	NOUN
fcis-5314	55	17	and	and	CCONJ
fcis-5314	55	18	crossover	crossover	VERB
fcis-5314	55	19	probability	probability	NOUN
fcis-5314	55	20	need	need	NOUN
fcis-5314	55	21	to	to	PART
fcis-5314	55	22	be	be	AUX
fcis-5314	55	23	increased	increase	VERB
fcis-5314	55	24	to	to	PART
fcis-5314	55	25	generate	generate	VERB
fcis-5314	55	26	new	new	ADJ
fcis-5314	55	27	individuals	individual	NOUN
fcis-5314	55	28	and	and	CCONJ
fcis-5314	55	29	increase	increase	VERB
fcis-5314	55	30	the	the	DET
fcis-5314	55	31	diversity	diversity	NOUN
fcis-5314	55	32	of	of	ADP
fcis-5314	55	33	species	specie	NOUN
fcis-5314	55	34	.	.	PUNCT
fcis-5314	56	1	on	on	ADP
fcis-5314	56	2	the	the	DET
fcis-5314	56	3	contrary	contrary	NOUN
fcis-5314	56	4	,	,	PUNCT
fcis-5314	56	5	a	a	DET
fcis-5314	56	6	smaller	small	ADJ
fcis-5314	56	7	ratio	ratio	NOUN
fcis-5314	56	8	indicates	indicate	VERB
fcis-5314	56	9	that	that	SCONJ
fcis-5314	56	10	the	the	DET
fcis-5314	56	11	algorithm	algorithm	NOUN
fcis-5314	56	12	is	be	AUX
fcis-5314	56	13	converging	converge	VERB
fcis-5314	56	14	rapidly	rapidly	ADV
fcis-5314	56	15	.	.	PUNCT
fcis-5314	57	1	in	in	ADP
fcis-5314	57	2	order	order	NOUN
fcis-5314	57	3	not	not	PART
fcis-5314	57	4	to	to	PART
fcis-5314	57	5	destroy	destroy	VERB
fcis-5314	57	6	good	good	ADJ
fcis-5314	57	7	individuals	individual	NOUN
fcis-5314	57	8	,	,	PUNCT
fcis-5314	57	9	a	a	DET
fcis-5314	57	10	smaller	small	ADJ
fcis-5314	57	11	crossover	crossover	NOUN
fcis-5314	57	12	probability	probability	NOUN
fcis-5314	57	13	and	and	CCONJ
fcis-5314	57	14	mutation	mutation	NOUN
fcis-5314	57	15	probability	probability	NOUN
fcis-5314	57	16	should	should	AUX
fcis-5314	57	17	be	be	AUX
fcis-5314	57	18	used	use	VERB
fcis-5314	57	19	.	.	PUNCT
fcis-5314	58	1	the	the	DET
fcis-5314	58	2	evaluation	evaluation	NOUN
fcis-5314	58	3	indicators	indicator	NOUN
fcis-5314	58	4	are	be	AUX
fcis-5314	58	5	as	as	SCONJ
fcis-5314	58	6	follows	follow	VERB
fcis-5314	58	7	:	:	PUNCT
fcis-5314	58	8	mc	mc	PROPN
fcis-5314	58	9	mp	mp	PROPN
fcis-5314	58	10	=	=	SYM
fcis-5314	58	11	1	1	NUM
fcis-5314	58	12	n	n	DET
fcis-5314	58	13	∑	∑	ADV
fcis-5314	58	14	fit1(t	fit1(t	NOUN
fcis-5314	58	15	,	,	PUNCT
fcis-5314	58	16	i	i	PRON
fcis-5314	58	17	)	)	PUNCT
fcis-5314	59	1	+	+	NOUN
fcis-5314	59	2	n	n	NUM
fcis-5314	59	3	i=1	i=1	PROPN
fcis-5314	59	4	1	1	NUM
fcis-5314	59	5	n	n	NUM
fcis-5314	59	6	∑	∑	ADP
fcis-5314	59	7	fit2(t	fit2(t	PROPN
fcis-5314	59	8	,	,	PUNCT
fcis-5314	59	9	i)n	i)n	VERB
fcis-5314	59	10	i=1	i=1	PROPN
fcis-5314	59	11	1	1	NUM
fcis-5314	59	12	n	n	NUM
fcis-5314	59	13	∑	∑	PROPN
fcis-5314	59	14	fit1(t	fit1(t	NUM
fcis-5314	59	15	−	−	PROPN
fcis-5314	59	16	1	1	NUM
fcis-5314	59	17	,	,	PUNCT
fcis-5314	59	18	i	i	NOUN
fcis-5314	59	19	)	)	PUNCT
fcis-5314	60	1	+	+	NOUN
fcis-5314	60	2	n	n	NUM
fcis-5314	60	3	i=1	i=1	PROPN
fcis-5314	60	4	1	1	NUM
fcis-5314	60	5	n	n	NOUN
fcis-5314	60	6	∑	∑	ADP
fcis-5314	60	7	fit2(t	fit2(t	PROPN
fcis-5314	60	8	−	−	NOUN
fcis-5314	60	9	1	1	NUM
fcis-5314	60	10	,	,	PUNCT
fcis-5314	60	11	i)n	i)n	VERB
fcis-5314	60	12	i=1	i=1	X
fcis-5314	61	1	(	(	PUNCT
fcis-5314	61	2	6	6	NUM
fcis-5314	61	3	)	)	PUNCT
fcis-5314	61	4	mc	mc	PROPN
fcis-5314	61	5	represents	represent	VERB
fcis-5314	61	6	the	the	DET
fcis-5314	61	7	crossover	crossover	NOUN
fcis-5314	61	8	probability	probability	NOUN
fcis-5314	61	9	and	and	CCONJ
fcis-5314	61	10	mp	mp	NOUN
fcis-5314	61	11	represents	represent	VERB
fcis-5314	61	12	the	the	DET
fcis-5314	61	13	mutation	mutation	NOUN
fcis-5314	61	14	probability	probability	NOUN
fcis-5314	61	15	.	.	PUNCT
fcis-5314	62	1	mc	mc	PROPN
fcis-5314	62	2	/	/	SYM
fcis-5314	62	3	mp	mp	PROPN
fcis-5314	62	4	is	be	AUX
fcis-5314	62	5	the	the	DET
fcis-5314	62	6	ratio	ratio	NOUN
fcis-5314	62	7	of	of	ADP
fcis-5314	62	8	length	length	NOUN
fcis-5314	62	9	factor	factor	NOUN
fcis-5314	62	10	and	and	CCONJ
fcis-5314	62	11	smoothness	smoothness	ADJ
fcis-5314	62	12	factor	factor	NOUN
fcis-5314	62	13	of	of	ADP
fcis-5314	62	14	two	two	NUM
fcis-5314	62	15	generation	generation	NOUN
fcis-5314	62	16	population	population	NOUN
fcis-5314	62	17	.	.	PUNCT
fcis-5314	63	1	n	n	PRON
fcis-5314	63	2	is	be	AUX
fcis-5314	63	3	the	the	DET
fcis-5314	63	4	number	number	NOUN
fcis-5314	63	5	of	of	ADP
fcis-5314	63	6	individuals	individual	NOUN
fcis-5314	63	7	for	for	ADP
fcis-5314	63	8	the	the	DET
fcis-5314	63	9	contemporary	contemporary	ADJ
fcis-5314	63	10	population	population	NOUN
fcis-5314	63	11	;	;	PUNCT
fcis-5314	63	12	fit1	fit1	NOUN
fcis-5314	63	13	is	be	AUX
fcis-5314	63	14	the	the	DET
fcis-5314	63	15	length	length	NOUN
fcis-5314	63	16	factor	factor	NOUN
fcis-5314	63	17	;	;	PUNCT
fcis-5314	63	18	fit2	fit2	NOUN
fcis-5314	63	19	is	be	AUX
fcis-5314	63	20	the	the	DET
fcis-5314	63	21	smoothness	smoothness	ADJ
fcis-5314	63	22	factor	factor	NOUN
fcis-5314	63	23	;	;	PUNCT
fcis-5314	63	24	t	t	PROPN
fcis-5314	63	25	indicates	indicate	VERB
fcis-5314	63	26	the	the	DET
fcis-5314	63	27	generation	generation	NOUN
fcis-5314	63	28	of	of	ADP
fcis-5314	63	29	the	the	DET
fcis-5314	63	30	current	current	ADJ
fcis-5314	63	31	population	population	NOUN
fcis-5314	63	32	.	.	PUNCT
fcis-5314	64	1	in	in	ADP
fcis-5314	64	2	genetic	genetic	ADJ
fcis-5314	64	3	algorithm	algorithm	NOUN
fcis-5314	64	4	,	,	PUNCT
fcis-5314	64	5	the	the	DET
fcis-5314	64	6	value	value	NOUN
fcis-5314	64	7	of	of	ADP
fcis-5314	64	8	crossover	crossover	NOUN
fcis-5314	64	9	probability	probability	NOUN
fcis-5314	64	10	and	and	CCONJ
fcis-5314	64	11	genetic	genetic	ADJ
fcis-5314	64	12	probability	probability	NOUN
fcis-5314	64	13	can	can	AUX
fcis-5314	64	14	be	be	AUX
fcis-5314	64	15	between	between	ADP
fcis-5314	64	16	0	0	NUM
fcis-5314	64	17	and	and	CCONJ
fcis-5314	64	18	1	1	NUM
fcis-5314	64	19	.	.	PUNCT
fcis-5314	65	1	however	however	ADV
fcis-5314	65	2	,	,	PUNCT
fcis-5314	65	3	considering	consider	VERB
fcis-5314	65	4	that	that	SCONJ
fcis-5314	65	5	too	too	ADV
fcis-5314	65	6	low	low	ADJ
fcis-5314	65	7	value	value	NOUN
fcis-5314	65	8	will	will	AUX
fcis-5314	65	9	lead	lead	VERB
fcis-5314	65	10	to	to	ADP
fcis-5314	65	11	the	the	DET
fcis-5314	65	12	stagnation	stagnation	NOUN
fcis-5314	65	13	of	of	ADP
fcis-5314	65	14	population	population	NOUN
fcis-5314	65	15	evolution	evolution	NOUN
fcis-5314	65	16	and	and	CCONJ
fcis-5314	65	17	fall	fall	VERB
fcis-5314	65	18	into	into	ADP
fcis-5314	65	19	local	local	ADJ
fcis-5314	65	20	optimal	optimal	ADJ
fcis-5314	65	21	solution	solution	NOUN
fcis-5314	65	22	,	,	PUNCT
fcis-5314	65	23	and	and	CCONJ
fcis-5314	65	24	too	too	ADV
fcis-5314	65	25	high	high	ADJ
fcis-5314	65	26	value	value	NOUN
fcis-5314	65	27	will	will	AUX
fcis-5314	65	28	destroy	destroy	VERB
fcis-5314	65	29	excellent	excellent	ADJ
fcis-5314	65	30	individuals	individual	NOUN
fcis-5314	65	31	in	in	ADP
fcis-5314	65	32	the	the	DET
fcis-5314	65	33	process	process	NOUN
fcis-5314	65	34	of	of	ADP
fcis-5314	65	35	evolution	evolution	NOUN
fcis-5314	65	36	.	.	PUNCT
fcis-5314	66	1	therefore	therefore	ADV
fcis-5314	66	2	,	,	PUNCT
fcis-5314	66	3	the	the	DET
fcis-5314	66	4	value	value	NOUN
fcis-5314	66	5	range	range	NOUN
fcis-5314	66	6	of	of	ADP
fcis-5314	66	7	restricted	restrict	VERB
fcis-5314	66	8	crossover	crossover	ADP
fcis-5314	66	9	probability	probability	NOUN
fcis-5314	66	10	is	be	AUX
fcis-5314	66	11	0.5	0.5	NUM
fcis-5314	66	12	to	to	PART
fcis-5314	66	13	0.8	0.8	NUM
fcis-5314	66	14	,	,	PUNCT
fcis-5314	66	15	and	and	CCONJ
fcis-5314	66	16	the	the	DET
fcis-5314	66	17	value	value	NOUN
fcis-5314	66	18	range	range	NOUN
fcis-5314	66	19	of	of	ADP
fcis-5314	66	20	restricted	restricted	ADJ
fcis-5314	66	21	mutation	mutation	NOUN
fcis-5314	66	22	probability	probability	NOUN
fcis-5314	66	23	is	be	AUX
fcis-5314	66	24	0.01	0.01	NUM
fcis-5314	66	25	to	to	ADP
fcis-5314	66	26	0.3	0.3	NUM
fcis-5314	66	27	.	.	PUNCT
fcis-5314	67	1	the	the	DET
fcis-5314	67	2	specific	specific	ADJ
fcis-5314	67	3	values	value	NOUN
fcis-5314	67	4	of	of	ADP
fcis-5314	67	5	crossover	crossover	NOUN
fcis-5314	67	6	probability	probability	NOUN
fcis-5314	67	7	and	and	CCONJ
fcis-5314	67	8	mutation	mutation	NOUN
fcis-5314	67	9	probability	probability	NOUN
fcis-5314	67	10	are	be	AUX
fcis-5314	67	11	shown	show	VERB
fcis-5314	67	12	in	in	ADP
fcis-5314	67	13	table	table	NOUN
fcis-5314	67	14	1	1	NUM
fcis-5314	67	15	.	.	PUNCT
fcis-5314	67	16	table	table	NOUN
fcis-5314	67	17	1	1	NUM
fcis-5314	67	18	.	.	PUNCT
fcis-5314	67	19	value	value	NOUN
fcis-5314	67	20	of	of	ADP
fcis-5314	67	21	crossover	crossover	NOUN
fcis-5314	67	22	probability	probability	NOUN
fcis-5314	67	23	and	and	CCONJ
fcis-5314	67	24	mutation	mutation	NOUN
fcis-5314	67	25	probability	probability	NOUN
fcis-5314	67	26	mc	mc	PROPN
fcis-5314	67	27	mp	mp	PROPN
fcis-5314	67	28	pc	pc	NOUN
fcis-5314	67	29	pm	pm	NOUN
fcis-5314	67	30	<	<	X
fcis-5314	67	31	=	=	NOUN
fcis-5314	67	32	0.2	0.2	NUM
fcis-5314	67	33	0.5	0.5	NUM
fcis-5314	67	34	0.01	0.01	NUM
fcis-5314	68	1	[	[	X
fcis-5314	68	2	0.2,0.4	0.2,0.4	X
fcis-5314	68	3	]	]	X
fcis-5314	68	4	0.6	0.6	NUM
fcis-5314	68	5	0.1	0.1	NUM
fcis-5314	69	1	[	[	X
fcis-5314	69	2	0.2,0.6	0.2,0.6	X
fcis-5314	69	3	]	]	X
fcis-5314	69	4	0.7	0.7	NUM
fcis-5314	69	5	0.2	0.2	NUM
fcis-5314	70	1	[	[	X
fcis-5314	70	2	0.6,0.8	0.6,0.8	X
fcis-5314	70	3	]	]	PUNCT
fcis-5314	70	4	0.75	0.75	NUM
fcis-5314	70	5	0.25	0.25	NUM
fcis-5314	70	6	>	>	PUNCT
fcis-5314	70	7	=	=	NUM
fcis-5314	70	8	0.8	0.8	NUM
fcis-5314	70	9	0.8	0.8	NUM
fcis-5314	70	10	0.3	0.3	NUM
fcis-5314	70	11	3.4	3.4	NUM
fcis-5314	70	12	.	.	PUNCT
fcis-5314	71	1	algorithm	algorithm	NOUN
fcis-5314	71	2	flow	flow	VERB
fcis-5314	71	3	the	the	DET
fcis-5314	71	4	calculation	calculation	NOUN
fcis-5314	71	5	flow	flow	NOUN
fcis-5314	71	6	of	of	ADP
fcis-5314	71	7	the	the	DET
fcis-5314	71	8	improved	improve	VERB
fcis-5314	71	9	genetic	genetic	ADJ
fcis-5314	71	10	algorithm	algorithm	NOUN
fcis-5314	71	11	robot	robot	NOUN
fcis-5314	71	12	path	path	PROPN
fcis-5314	71	13	planning	planning	NOUN
fcis-5314	71	14	proposed	propose	VERB
fcis-5314	71	15	in	in	ADP
fcis-5314	71	16	this	this	DET
fcis-5314	71	17	paper	paper	NOUN
fcis-5314	71	18	is	be	AUX
fcis-5314	71	19	shown	show	VERB
fcis-5314	71	20	in	in	ADP
fcis-5314	71	21	figure	figure	NOUN
fcis-5314	71	22	2	2	NUM
fcis-5314	71	23	.	.	PUNCT
fcis-5314	72	1	the	the	DET
fcis-5314	72	2	termination	termination	NOUN
fcis-5314	72	3	condition	condition	NOUN
fcis-5314	72	4	of	of	ADP
fcis-5314	72	5	the	the	DET
fcis-5314	72	6	algorithm	algorithm	NOUN
fcis-5314	72	7	is	be	AUX
fcis-5314	72	8	to	to	PART
fcis-5314	72	9	reach	reach	VERB
fcis-5314	72	10	the	the	DET
fcis-5314	72	11	maximum	maximum	ADJ
fcis-5314	72	12	number	number	NOUN
fcis-5314	72	13	of	of	ADP
fcis-5314	72	14	iterations	iteration	NOUN
fcis-5314	72	15	.	.	PUNCT
fcis-5314	73	1	fig	fig	NOUN
fcis-5314	73	2	.	.	PUNCT
fcis-5314	74	1	2	2	NUM
fcis-5314	74	2	flow	flow	NOUN
fcis-5314	74	3	chart	chart	NOUN
fcis-5314	74	4	of	of	ADP
fcis-5314	74	5	improved	improved	ADJ
fcis-5314	74	6	genetic	genetic	ADJ
fcis-5314	74	7	algorithm	algorithm	NOUN
fcis-5314	74	8	4	4	NUM
fcis-5314	74	9	.	.	PUNCT
fcis-5314	74	10	experimental	experimental	ADJ
fcis-5314	74	11	analysis	analysis	NOUN
fcis-5314	74	12	in	in	ADP
fcis-5314	74	13	order	order	NOUN
fcis-5314	74	14	to	to	PART
fcis-5314	74	15	verify	verify	VERB
fcis-5314	74	16	the	the	DET
fcis-5314	74	17	effect	effect	NOUN
fcis-5314	74	18	of	of	ADP
fcis-5314	74	19	the	the	DET
fcis-5314	74	20	improved	improve	VERB
fcis-5314	74	21	genetic	genetic	ADJ
fcis-5314	74	22	algorithm	algorithm	NOUN
fcis-5314	74	23	in	in	ADP
fcis-5314	74	24	robot	robot	NOUN
fcis-5314	74	25	path	path	PROPN
fcis-5314	74	26	planning	planning	NOUN
fcis-5314	75	1	,	,	PUNCT
fcis-5314	75	2	this	this	DET
fcis-5314	75	3	paper	paper	NOUN
fcis-5314	75	4	uses	use	VERB
fcis-5314	75	5	matlab	matlab	PROPN
fcis-5314	75	6	software	software	NOUN
fcis-5314	75	7	to	to	PART
fcis-5314	75	8	carry	carry	VERB
fcis-5314	75	9	out	out	ADP
fcis-5314	75	10	simulation	simulation	NOUN
fcis-5314	75	11	experiments	experiment	NOUN
fcis-5314	75	12	and	and	CCONJ
fcis-5314	75	13	compares	compare	VERB
fcis-5314	75	14	it	it	PRON
fcis-5314	75	15	with	with	ADP
fcis-5314	75	16	the	the	DET
fcis-5314	75	17	basic	basic	ADJ
fcis-5314	75	18	genetic	genetic	ADJ
fcis-5314	75	19	algorithm	algorithm	NOUN
fcis-5314	75	20	.	.	PUNCT
fcis-5314	76	1	the	the	DET
fcis-5314	76	2	starting	starting	NOUN
fcis-5314	76	3	coordinate	coordinate	NOUN
fcis-5314	76	4	is	be	AUX
fcis-5314	76	5	(	(	PUNCT
fcis-5314	76	6	1,1	1,1	NUM
fcis-5314	76	7	)	)	PUNCT
fcis-5314	76	8	and	and	CCONJ
fcis-5314	76	9	the	the	DET
fcis-5314	76	10	ending	end	VERB
fcis-5314	76	11	coordinate	coordinate	NOUN
fcis-5314	76	12	is	be	AUX
fcis-5314	76	13	(	(	PUNCT
fcis-5314	76	14	20,20	20,20	NUM
fcis-5314	76	15	)	)	PUNCT
fcis-5314	76	16	.	.	PUNCT
fcis-5314	77	1	the	the	DET
fcis-5314	77	2	number	number	NOUN
fcis-5314	77	3	of	of	ADP
fcis-5314	77	4	populations	population	NOUN
fcis-5314	77	5	is	be	AUX
fcis-5314	77	6	200	200	NUM
fcis-5314	77	7	,	,	PUNCT
fcis-5314	77	8	the	the	DET
fcis-5314	77	9	maximum	maximum	ADJ
fcis-5314	77	10	number	number	NOUN
fcis-5314	77	11	of	of	ADP
fcis-5314	77	12	iterations	iteration	NOUN
fcis-5314	77	13	is	be	AUX
fcis-5314	77	14	100	100	NUM
fcis-5314	77	15	,	,	PUNCT
fcis-5314	77	16	the	the	DET
fcis-5314	77	17	weight	weight	NOUN
fcis-5314	77	18	coefficient	coefficient	NOUN
fcis-5314	77	19	a	a	PRON
fcis-5314	77	20	is	be	AUX
fcis-5314	77	21	1	1	NUM
fcis-5314	77	22	,	,	PUNCT
fcis-5314	77	23	and	and	CCONJ
fcis-5314	77	24	the	the	DET
fcis-5314	77	25	weight	weight	NOUN
fcis-5314	77	26	coefficient	coefficient	NOUN
fcis-5314	77	27	b	b	NOUN
fcis-5314	77	28	is	be	AUX
fcis-5314	77	29	1.5	1.5	NUM
fcis-5314	77	30	.	.	PUNCT
fcis-5314	78	1	80	80	NUM
fcis-5314	78	2	fig.3	fig.3	PROPN
fcis-5314	78	3	results	result	NOUN
fcis-5314	78	4	of	of	ADP
fcis-5314	78	5	improved	improve	VERB
fcis-5314	78	6	genetic	genetic	ADJ
fcis-5314	78	7	algorithm	algorithm	NOUN
fcis-5314	78	8	fig.4	fig.4	NUM
fcis-5314	78	9	basic	basic	ADJ
fcis-5314	78	10	genetic	genetic	ADJ
fcis-5314	78	11	algorithm	algorithm	NOUN
fcis-5314	78	12	results	result	NOUN
fcis-5314	78	13	figure	figure	VERB
fcis-5314	78	14	3	3	NUM
fcis-5314	78	15	shows	show	VERB
fcis-5314	78	16	the	the	DET
fcis-5314	78	17	improved	improve	VERB
fcis-5314	78	18	genetic	genetic	ADJ
fcis-5314	78	19	algorithm	algorithm	NOUN
fcis-5314	78	20	path	path	NOUN
fcis-5314	78	21	planning	planning	NOUN
fcis-5314	78	22	results	result	NOUN
fcis-5314	78	23	,	,	PUNCT
fcis-5314	78	24	and	and	CCONJ
fcis-5314	78	25	figure	figure	VERB
fcis-5314	78	26	4	4	NUM
fcis-5314	78	27	shows	show	VERB
fcis-5314	78	28	the	the	DET
fcis-5314	78	29	basic	basic	ADJ
fcis-5314	78	30	genetic	genetic	ADJ
fcis-5314	78	31	algorithm	algorithm	NOUN
fcis-5314	78	32	path	path	NOUN
fcis-5314	78	33	planning	planning	NOUN
fcis-5314	78	34	results	result	NOUN
fcis-5314	78	35	.	.	PUNCT
fcis-5314	79	1	it	it	PRON
fcis-5314	79	2	can	can	AUX
fcis-5314	79	3	be	be	AUX
fcis-5314	79	4	seen	see	VERB
fcis-5314	79	5	that	that	SCONJ
fcis-5314	79	6	both	both	DET
fcis-5314	79	7	algorithms	algorithm	NOUN
fcis-5314	79	8	can	can	AUX
fcis-5314	79	9	find	find	VERB
fcis-5314	79	10	a	a	DET
fcis-5314	79	11	shortest	short	ADJ
fcis-5314	79	12	path	path	NOUN
fcis-5314	79	13	for	for	ADP
fcis-5314	79	14	the	the	DET
fcis-5314	79	15	robot	robot	NOUN
fcis-5314	79	16	.	.	PUNCT
fcis-5314	80	1	however	however	ADV
fcis-5314	80	2	,	,	PUNCT
fcis-5314	80	3	the	the	DET
fcis-5314	80	4	improved	improve	VERB
fcis-5314	80	5	genetic	genetic	ADJ
fcis-5314	80	6	algorithm	algorithm	NOUN
fcis-5314	80	7	results	result	NOUN
fcis-5314	80	8	in	in	ADP
fcis-5314	80	9	fewer	few	ADJ
fcis-5314	80	10	turns	turn	NOUN
fcis-5314	80	11	,	,	PUNCT
fcis-5314	80	12	which	which	PRON
fcis-5314	80	13	is	be	AUX
fcis-5314	80	14	more	more	ADV
fcis-5314	80	15	suitable	suitable	ADJ
fcis-5314	80	16	for	for	ADP
fcis-5314	80	17	robot	robot	NOUN
fcis-5314	80	18	motion	motion	NOUN
fcis-5314	80	19	.	.	PUNCT
fcis-5314	81	1	fig.5	fig.5	VERB
fcis-5314	81	2	comparison	comparison	NOUN
fcis-5314	81	3	of	of	ADP
fcis-5314	81	4	convergence	convergence	NOUN
fcis-5314	81	5	curves	curve	NOUN
fcis-5314	81	6	of	of	ADP
fcis-5314	81	7	two	two	NUM
fcis-5314	81	8	algorithms	algorithm	NOUN
fcis-5314	81	9	figure	figure	VERB
fcis-5314	81	10	5	5	NUM
fcis-5314	81	11	shows	show	VERB
fcis-5314	81	12	the	the	DET
fcis-5314	81	13	comparison	comparison	NOUN
fcis-5314	81	14	of	of	ADP
fcis-5314	81	15	the	the	DET
fcis-5314	81	16	convergence	convergence	NOUN
fcis-5314	81	17	curves	curve	NOUN
fcis-5314	81	18	of	of	ADP
fcis-5314	81	19	the	the	DET
fcis-5314	81	20	two	two	NUM
fcis-5314	81	21	algorithms	algorithm	NOUN
fcis-5314	81	22	.	.	PUNCT
fcis-5314	82	1	it	it	PRON
fcis-5314	82	2	can	can	AUX
fcis-5314	82	3	be	be	AUX
fcis-5314	82	4	seen	see	VERB
fcis-5314	82	5	that	that	SCONJ
fcis-5314	82	6	the	the	DET
fcis-5314	82	7	improved	improved	ADJ
fcis-5314	82	8	genetic	genetic	ADJ
fcis-5314	82	9	algorithm	algorithm	NOUN
fcis-5314	82	10	converges	converge	VERB
fcis-5314	82	11	faster	fast	ADV
fcis-5314	82	12	.	.	PUNCT
fcis-5314	83	1	these	these	DET
fcis-5314	83	2	advantages	advantage	NOUN
fcis-5314	83	3	come	come	VERB
fcis-5314	83	4	from	from	ADP
fcis-5314	83	5	adaptive	adaptive	ADJ
fcis-5314	83	6	adjustment	adjustment	NOUN
fcis-5314	83	7	of	of	ADP
fcis-5314	83	8	crossover	crossover	NOUN
fcis-5314	83	9	probability	probability	NOUN
fcis-5314	83	10	and	and	CCONJ
fcis-5314	83	11	mutation	mutation	NOUN
fcis-5314	83	12	probability	probability	NOUN
fcis-5314	83	13	and	and	CCONJ
fcis-5314	83	14	elite	elite	ADJ
fcis-5314	83	15	retention	retention	NOUN
fcis-5314	83	16	strategy	strategy	NOUN
fcis-5314	83	17	.	.	PUNCT
fcis-5314	84	1	since	since	SCONJ
fcis-5314	84	2	genetic	genetic	ADJ
fcis-5314	84	3	algorithm	algorithm	NOUN
fcis-5314	84	4	is	be	AUX
fcis-5314	84	5	a	a	DET
fcis-5314	84	6	random	random	ADJ
fcis-5314	84	7	algorithm	algorithm	NOUN
fcis-5314	84	8	,	,	PUNCT
fcis-5314	84	9	in	in	ADP
fcis-5314	84	10	order	order	NOUN
fcis-5314	84	11	to	to	PART
fcis-5314	84	12	avoid	avoid	VERB
fcis-5314	84	13	chance	chance	NOUN
fcis-5314	84	14	,	,	PUNCT
fcis-5314	84	15	20	20	NUM
fcis-5314	84	16	simulation	simulation	NOUN
fcis-5314	84	17	tests	test	NOUN
fcis-5314	84	18	were	be	AUX
fcis-5314	84	19	carried	carry	VERB
fcis-5314	84	20	out	out	ADP
fcis-5314	84	21	on	on	ADP
fcis-5314	84	22	the	the	DET
fcis-5314	84	23	basic	basic	ADJ
fcis-5314	84	24	genetic	genetic	ADJ
fcis-5314	84	25	algorithm	algorithm	NOUN
fcis-5314	84	26	and	and	CCONJ
fcis-5314	84	27	the	the	DET
fcis-5314	84	28	improved	improve	VERB
fcis-5314	84	29	genetic	genetic	ADJ
fcis-5314	84	30	algorithm	algorithm	NOUN
fcis-5314	84	31	respectively	respectively	ADV
fcis-5314	84	32	,	,	PUNCT
fcis-5314	84	33	and	and	CCONJ
fcis-5314	84	34	the	the	DET
fcis-5314	84	35	results	result	NOUN
fcis-5314	84	36	are	be	AUX
fcis-5314	84	37	shown	show	VERB
fcis-5314	84	38	in	in	ADP
fcis-5314	84	39	table	table	NOUN
fcis-5314	84	40	2	2	NUM
fcis-5314	84	41	.	.	PUNCT
fcis-5314	84	42	table	table	NOUN
fcis-5314	84	43	2	2	NUM
fcis-5314	84	44	.	.	PUNCT
fcis-5314	84	45	comparison	comparison	NOUN
fcis-5314	84	46	of	of	ADP
fcis-5314	84	47	multiple	multiple	ADJ
fcis-5314	84	48	simulation	simulation	NOUN
fcis-5314	84	49	results	result	NOUN
fcis-5314	84	50	item	item	VERB
fcis-5314	84	51	basic	basic	ADJ
fcis-5314	84	52	genetic	genetic	ADJ
fcis-5314	84	53	algorithm	algorithm	NOUN
fcis-5314	84	54	improved	improve	VERB
fcis-5314	84	55	genetic	genetic	ADJ
fcis-5314	84	56	algorithm	algorithm	NOUN
fcis-5314	84	57	optimal	optimal	ADJ
fcis-5314	84	58	length	length	NOUN
fcis-5314	84	59	29.8	29.8	NUM
fcis-5314	84	60	29.8	29.8	NUM
fcis-5314	84	61	average	average	ADJ
fcis-5314	84	62	number	number	NOUN
fcis-5314	84	63	of	of	ADP
fcis-5314	84	64	turns	turn	NOUN
fcis-5314	84	65	12.5	12.5	NUM
fcis-5314	84	66	5	5	NUM
fcis-5314	84	67	average	average	ADJ
fcis-5314	84	68	length	length	NOUN
fcis-5314	84	69	30.703	30.703	NUM
fcis-5314	84	70	30.9	30.9	NUM
fcis-5314	84	71	average	average	ADJ
fcis-5314	84	72	number	number	NOUN
fcis-5314	84	73	of	of	ADP
fcis-5314	84	74	iterations	iteration	NOUN
fcis-5314	84	75	18.5	18.5	NUM
fcis-5314	84	76	11.25	11.25	NUM
fcis-5314	84	77	the	the	DET
fcis-5314	84	78	analysis	analysis	NOUN
fcis-5314	84	79	shows	show	VERB
fcis-5314	84	80	that	that	SCONJ
fcis-5314	84	81	the	the	DET
fcis-5314	84	82	theoretical	theoretical	ADJ
fcis-5314	84	83	shortest	short	ADJ
fcis-5314	84	84	path	path	NOUN
fcis-5314	84	85	of	of	ADP
fcis-5314	84	86	the	the	DET
fcis-5314	84	87	map	map	NOUN
fcis-5314	84	88	is	be	AUX
fcis-5314	84	89	29.8	29.8	NUM
fcis-5314	84	90	,	,	PUNCT
fcis-5314	84	91	and	and	CCONJ
fcis-5314	84	92	both	both	CCONJ
fcis-5314	84	93	the	the	DET
fcis-5314	84	94	basic	basic	ADJ
fcis-5314	84	95	genetic	genetic	ADJ
fcis-5314	84	96	algorithm	algorithm	NOUN
fcis-5314	84	97	and	and	CCONJ
fcis-5314	84	98	the	the	DET
fcis-5314	84	99	improved	improve	VERB
fcis-5314	84	100	genetic	genetic	ADJ
fcis-5314	84	101	algorithm	algorithm	NOUN
fcis-5314	84	102	are	be	AUX
fcis-5314	84	103	capable	capable	ADJ
fcis-5314	84	104	of	of	ADP
fcis-5314	84	105	finding	find	VERB
fcis-5314	84	106	the	the	DET
fcis-5314	84	107	shortest	short	ADJ
fcis-5314	84	108	path	path	NOUN
fcis-5314	84	109	.	.	PUNCT
fcis-5314	85	1	however	however	ADV
fcis-5314	85	2	,	,	PUNCT
fcis-5314	85	3	because	because	SCONJ
fcis-5314	85	4	sometimes	sometimes	ADV
fcis-5314	85	5	the	the	DET
fcis-5314	85	6	number	number	NOUN
fcis-5314	85	7	of	of	ADP
fcis-5314	85	8	turns	turn	NOUN
fcis-5314	85	9	of	of	ADP
fcis-5314	85	10	the	the	DET
fcis-5314	85	11	shortest	short	ADJ
fcis-5314	85	12	path	path	NOUN
fcis-5314	85	13	is	be	AUX
fcis-5314	85	14	too	too	ADV
fcis-5314	85	15	many	many	ADJ
fcis-5314	85	16	,	,	PUNCT
fcis-5314	85	17	it	it	PRON
fcis-5314	85	18	is	be	AUX
fcis-5314	85	19	not	not	PART
fcis-5314	85	20	suitable	suitable	ADJ
fcis-5314	85	21	for	for	SCONJ
fcis-5314	85	22	the	the	DET
fcis-5314	85	23	robot	robot	NOUN
fcis-5314	85	24	to	to	PART
fcis-5314	85	25	move	move	VERB
fcis-5314	85	26	,	,	PUNCT
fcis-5314	85	27	so	so	SCONJ
fcis-5314	85	28	the	the	DET
fcis-5314	85	29	path	path	NOUN
fcis-5314	85	30	calculated	calculate	VERB
fcis-5314	85	31	by	by	ADP
fcis-5314	85	32	the	the	DET
fcis-5314	85	33	improved	improve	VERB
fcis-5314	85	34	genetic	genetic	ADJ
fcis-5314	85	35	algorithm	algorithm	NOUN
fcis-5314	85	36	may	may	AUX
fcis-5314	85	37	not	not	PART
fcis-5314	85	38	be	be	AUX
fcis-5314	85	39	the	the	DET
fcis-5314	85	40	shortest	short	ADJ
fcis-5314	85	41	path	path	NOUN
fcis-5314	85	42	.	.	PUNCT
fcis-5314	86	1	the	the	DET
fcis-5314	86	2	number	number	NOUN
fcis-5314	86	3	of	of	ADP
fcis-5314	86	4	turns	turn	NOUN
fcis-5314	86	5	calculated	calculate	VERB
fcis-5314	86	6	by	by	ADP
fcis-5314	86	7	the	the	DET
fcis-5314	86	8	improved	improved	ADJ
fcis-5314	86	9	algorithm	algorithm	NOUN
fcis-5314	86	10	is	be	AUX
fcis-5314	86	11	greatly	greatly	ADV
fcis-5314	86	12	reduced	reduce	VERB
fcis-5314	86	13	,	,	PUNCT
fcis-5314	86	14	and	and	CCONJ
fcis-5314	86	15	the	the	DET
fcis-5314	86	16	convergence	convergence	NOUN
fcis-5314	86	17	speed	speed	NOUN
fcis-5314	86	18	of	of	ADP
fcis-5314	86	19	the	the	DET
fcis-5314	86	20	algorithm	algorithm	NOUN
fcis-5314	86	21	is	be	AUX
fcis-5314	86	22	fast	fast	ADJ
fcis-5314	86	23	,	,	PUNCT
fcis-5314	86	24	which	which	PRON
fcis-5314	86	25	can	can	AUX
fcis-5314	86	26	preliminarily	preliminarily	ADV
fcis-5314	86	27	prove	prove	VERB
fcis-5314	86	28	the	the	DET
fcis-5314	86	29	superiority	superiority	NOUN
fcis-5314	86	30	of	of	ADP
fcis-5314	86	31	the	the	DET
fcis-5314	86	32	improved	improve	VERB
fcis-5314	86	33	genetic	genetic	ADJ
fcis-5314	86	34	algorithm	algorithm	NOUN
fcis-5314	86	35	.	.	PUNCT
fcis-5314	87	1	5	5	X
fcis-5314	87	2	.	.	X
fcis-5314	87	3	summary	summary	NOUN
fcis-5314	87	4	this	this	DET
fcis-5314	87	5	paper	paper	NOUN
fcis-5314	87	6	proposes	propose	VERB
fcis-5314	87	7	an	an	DET
fcis-5314	87	8	improved	improved	ADJ
fcis-5314	87	9	genetic	genetic	ADJ
fcis-5314	87	10	algorithm	algorithm	NOUN
fcis-5314	87	11	path	path	NOUN
fcis-5314	87	12	planning	planning	NOUN
fcis-5314	87	13	for	for	ADP
fcis-5314	87	14	robots	robot	NOUN
fcis-5314	87	15	.	.	PUNCT
fcis-5314	88	1	the	the	DET
fcis-5314	88	2	algorithm	algorithm	NOUN
fcis-5314	88	3	modifies	modify	VERB
fcis-5314	88	4	the	the	DET
fcis-5314	88	5	basic	basic	ADJ
fcis-5314	88	6	genetic	genetic	ADJ
fcis-5314	88	7	algorithm	algorithm	NOUN
fcis-5314	88	8	:	:	PUNCT
fcis-5314	88	9	changing	change	VERB
fcis-5314	88	10	the	the	DET
fcis-5314	88	11	fitness	fitness	NOUN
fcis-5314	88	12	function	function	NOUN
fcis-5314	88	13	;	;	PUNCT
fcis-5314	88	14	making	make	VERB
fcis-5314	88	15	crossover	crossover	ADP
fcis-5314	88	16	probabilities	probability	NOUN
fcis-5314	88	17	and	and	CCONJ
fcis-5314	88	18	mutation	mutation	NOUN
fcis-5314	88	19	probabilities	probability	NOUN
fcis-5314	88	20	adaptively	adaptively	ADV
fcis-5314	88	21	altered	alter	VERB
fcis-5314	88	22	;	;	PUNCT
fcis-5314	88	23	an	an	DET
fcis-5314	88	24	elite	elite	ADJ
fcis-5314	88	25	retention	retention	NOUN
fcis-5314	88	26	strategy	strategy	NOUN
fcis-5314	88	27	was	be	AUX
fcis-5314	88	28	introduced	introduce	VERB
fcis-5314	88	29	.	.	PUNCT
fcis-5314	89	1	the	the	DET
fcis-5314	89	2	improved	improve	VERB
fcis-5314	89	3	genetic	genetic	ADJ
fcis-5314	89	4	algorithm	algorithm	NOUN
fcis-5314	89	5	reduces	reduce	VERB
fcis-5314	89	6	the	the	DET
fcis-5314	89	7	number	number	NOUN
fcis-5314	89	8	of	of	ADP
fcis-5314	89	9	turns	turn	NOUN
fcis-5314	89	10	in	in	ADP
fcis-5314	89	11	the	the	DET
fcis-5314	89	12	path	path	NOUN
fcis-5314	89	13	,	,	PUNCT
fcis-5314	89	14	reduces	reduce	VERB
fcis-5314	89	15	the	the	DET
fcis-5314	89	16	turning	turning	NOUN
fcis-5314	89	17	angle	angle	NOUN
fcis-5314	89	18	,	,	PUNCT
fcis-5314	89	19	accelerates	accelerate	VERB
fcis-5314	89	20	the	the	DET
fcis-5314	89	21	convergence	convergence	NOUN
fcis-5314	89	22	speed	speed	NOUN
fcis-5314	89	23	of	of	ADP
fcis-5314	89	24	the	the	DET
fcis-5314	89	25	algorithm	algorithm	NOUN
fcis-5314	89	26	,	,	PUNCT
fcis-5314	89	27	and	and	CCONJ
fcis-5314	89	28	significantly	significantly	ADV
fcis-5314	89	29	reduces	reduce	VERB
fcis-5314	89	30	the	the	DET
fcis-5314	89	31	energy	energy	NOUN
fcis-5314	89	32	consumption	consumption	NOUN
fcis-5314	89	33	of	of	ADP
fcis-5314	89	34	the	the	DET
fcis-5314	89	35	robot	robot	NOUN
fcis-5314	89	36	.	.	PUNCT
fcis-5314	90	1	there	there	PRON
fcis-5314	90	2	are	be	VERB
fcis-5314	90	3	still	still	ADV
fcis-5314	90	4	many	many	ADJ
fcis-5314	90	5	aspects	aspect	NOUN
fcis-5314	90	6	to	to	PART
fcis-5314	90	7	be	be	AUX
fcis-5314	90	8	improved	improve	VERB
fcis-5314	90	9	in	in	ADP
fcis-5314	90	10	the	the	DET
fcis-5314	90	11	research	research	NOUN
fcis-5314	90	12	content	content	NOUN
fcis-5314	90	13	of	of	ADP
fcis-5314	90	14	this	this	DET
fcis-5314	90	15	paper	paper	NOUN
fcis-5314	90	16	,	,	PUNCT
fcis-5314	90	17	such	such	ADJ
fcis-5314	90	18	as	as	ADP
fcis-5314	90	19	how	how	SCONJ
fcis-5314	90	20	to	to	PART
fcis-5314	90	21	apply	apply	VERB
fcis-5314	90	22	the	the	DET
fcis-5314	90	23	algorithm	algorithm	NOUN
fcis-5314	90	24	to	to	ADP
fcis-5314	90	25	the	the	DET
fcis-5314	90	26	dynamic	dynamic	ADJ
fcis-5314	90	27	obstacle	obstacle	NOUN
fcis-5314	90	28	environment	environment	NOUN
fcis-5314	90	29	,	,	PUNCT
fcis-5314	90	30	and	and	CCONJ
fcis-5314	90	31	improve	improve	VERB
fcis-5314	90	32	the	the	DET
fcis-5314	90	33	adaptability	adaptability	NOUN
fcis-5314	90	34	of	of	ADP
fcis-5314	90	35	the	the	DET
fcis-5314	90	36	algorithm	algorithm	NOUN
fcis-5314	90	37	to	to	ADP
fcis-5314	90	38	the	the	DET
fcis-5314	90	39	complex	complex	ADJ
fcis-5314	90	40	environment	environment	NOUN
fcis-5314	90	41	.	.	PUNCT
fcis-5314	91	1	references	reference	NOUN
fcis-5314	91	2	[	[	X
fcis-5314	91	3	1	1	X
fcis-5314	91	4	]	]	PUNCT
fcis-5314	91	5	ma	ma	PROPN
fcis-5314	91	6	xiaolu	xiaolu	PROPN
fcis-5314	91	7	,	,	PUNCT
fcis-5314	91	8	li	li	PROPN
fcis-5314	91	9	ruyi	ruyi	PROPN
fcis-5314	91	10	,	,	PUNCT
fcis-5314	91	11	wu	wu	PROPN
fcis-5314	91	12	lihui	lihui	PROPN
fcis-5314	91	13	.	.	PUNCT
fcis-5314	92	1	review	review	NOUN
fcis-5314	92	2	on	on	ADP
fcis-5314	92	3	local	local	ADJ
fcis-5314	92	4	path	path	NOUN
fcis-5314	92	5	planning	planning	NOUN
fcis-5314	92	6	algorithm	algorithm	NOUN
fcis-5314	92	7	for	for	ADP
fcis-5314	92	8	intelligent	intelligent	ADJ
fcis-5314	92	9	vehicle	vehicle	NOUN
fcis-5314	92	10	.	.	PUNCT
fcis-5314	93	1	automobile	automobile	NOUN
fcis-5314	93	2	applied	apply	VERB
fcis-5314	93	3	technology	technology	NOUN
fcis-5314	93	4	.	.	PUNCT
fcis-5314	94	1	vol	vol	NOUN
fcis-5314	94	2	.	.	PUNCT
fcis-5314	95	1	47	47	NUM
fcis-5314	95	2	(	(	PUNCT
fcis-5314	95	3	2022	2022	NUM
fcis-5314	95	4	)	)	PUNCT
fcis-5314	95	5	no	no	NOUN
fcis-5314	95	6	.	.	NOUN
fcis-5314	95	7	23	23	NUM
fcis-5314	95	8	,	,	PUNCT
fcis-5314	95	9	p.	p.	NOUN
fcis-5314	95	10	232	232	NUM
fcis-5314	96	1	-	-	SYM
fcis-5314	96	2	237	237	NUM
fcis-5314	96	3	.	.	PUNCT
fcis-5314	97	1	[	[	X
fcis-5314	97	2	2	2	NUM
fcis-5314	97	3	]	]	X
fcis-5314	97	4	li	li	PROPN
fcis-5314	97	5	xiaoxu	xiaoxu	PROPN
fcis-5314	97	6	,	,	PUNCT
fcis-5314	97	7	ma	ma	PROPN
fcis-5314	97	8	xinglu	xinglu	PROPN
fcis-5314	97	9	,	,	PUNCT
fcis-5314	97	10	wang	wang	PROPN
fcis-5314	97	11	xianpeng	xianpeng	PROPN
fcis-5314	97	12	.	.	PUNCT
fcis-5314	98	1	a	a	DET
fcis-5314	98	2	survey	survey	NOUN
fcis-5314	98	3	of	of	ADP
fcis-5314	98	4	path	path	NOUN
fcis-5314	98	5	planning	planning	NOUN
fcis-5314	98	6	algorithms	algorithm	NOUN
fcis-5314	98	7	for	for	ADP
fcis-5314	98	8	mobile	mobile	ADJ
fcis-5314	98	9	robots	robot	NOUN
fcis-5314	98	10	.	.	PUNCT
fcis-5314	99	1	computer	computer	NOUN
fcis-5314	99	2	measurement	measurement	PROPN
fcis-5314	99	3	&	&	CCONJ
fcis-5314	99	4	control	control	PROPN
fcis-5314	99	5	.	.	PUNCT
fcis-5314	100	1	vol	vol	NOUN
fcis-5314	100	2	.	.	PROPN
fcis-5314	100	3	30	30	NUM
fcis-5314	100	4	(	(	PUNCT
fcis-5314	100	5	2022	2022	NUM
fcis-5314	100	6	)	)	PUNCT
fcis-5314	101	1	no	no	NOUN
fcis-5314	101	2	.	.	NOUN
fcis-5314	101	3	07	07	NUM
fcis-5314	101	4	,	,	PUNCT
fcis-5314	101	5	p.	p.	NOUN
fcis-5314	101	6	9	9	NUM
fcis-5314	101	7	-	-	SYM
fcis-5314	101	8	19	19	NUM
fcis-5314	101	9	.	.	PUNCT
fcis-5314	102	1	[	[	X
fcis-5314	102	2	3	3	X
fcis-5314	102	3	]	]	X
fcis-5314	102	4	xin	xin	PROPN
fcis-5314	102	5	gang	gang	PROPN
fcis-5314	102	6	,	,	PUNCT
fcis-5314	102	7	song	song	NOUN
fcis-5314	102	8	shaozhong	shaozhong	PROPN
fcis-5314	102	9	,	,	PUNCT
fcis-5314	102	10	zhang	zhang	PROPN
fcis-5314	102	11	hui	hui	PROPN
fcis-5314	102	12	,	,	PUNCT
fcis-5314	102	13	et	et	PROPN
fcis-5314	102	14	al	al	PROPN
fcis-5314	102	15	.	.	PROPN
fcis-5314	102	16	route	route	PROPN
fcis-5314	102	17	planning	planning	NOUN
fcis-5314	102	18	problem	problem	NOUN
fcis-5314	102	19	application	application	NOUN
fcis-5314	102	20	based	base	VERB
fcis-5314	102	21	on	on	ADP
fcis-5314	102	22	improved	improve	VERB
fcis-5314	102	23	genetic	genetic	ADJ
fcis-5314	102	24	algorithm	algorithm	NOUN
fcis-5314	102	25	.	.	PUNCT
fcis-5314	103	1	journal	journal	PROPN
fcis-5314	103	2	of	of	ADP
fcis-5314	103	3	jilin	jilin	PROPN
fcis-5314	103	4	university	university	PROPN
fcis-5314	103	5	(	(	PUNCT
fcis-5314	103	6	information	information	NOUN
fcis-5314	103	7	science	science	NOUN
fcis-5314	103	8	edition	edition	PROPN
fcis-5314	103	9	)	)	PUNCT
fcis-5314	103	10	.	.	PUNCT
fcis-5314	104	1	vol	vol	NOUN
fcis-5314	104	2	.	.	PROPN
fcis-5314	105	1	40	40	NUM
fcis-5314	105	2	(	(	PUNCT
fcis-5314	105	3	2022	2022	NUM
fcis-5314	105	4	)	)	PUNCT
fcis-5314	106	1	no	no	NOUN
fcis-5314	106	2	.	.	NOUN
fcis-5314	106	3	06	06	NUM
fcis-5314	106	4	,	,	PUNCT
fcis-5314	106	5	p.	p.	NOUN
fcis-5314	106	6	946	946	NUM
fcis-5314	106	7	-	-	SYM
fcis-5314	106	8	957	957	NUM
fcis-5314	106	9	.	.	PUNCT
fcis-5314	107	1	[	[	X
fcis-5314	107	2	4	4	NUM
fcis-5314	107	3	]	]	X
fcis-5314	107	4	zhou	zhou	PROPN
fcis-5314	107	5	jing⁃dong	jing⁃dong	PROPN
fcis-5314	107	6	,	,	PUNCT
fcis-5314	107	7	gao	gao	PROPN
fcis-5314	107	8	wei	wei	PROPN
fcis-5314	107	9	-	-	PROPN
fcis-5314	107	10	zhou	zhou	PROPN
fcis-5314	107	11	,	,	PUNCT
fcis-5314	107	12	yang	yang	PROPN
fcis-5314	107	13	wen	wen	PROPN
fcis-5314	107	14	-	-	PROPN
fcis-5314	107	15	guang	guang	PROPN
fcis-5314	107	16	,	,	PUNCT
fcis-5314	107	17	et	et	PROPN
fcis-5314	107	18	al	al	PROPN
fcis-5314	107	19	.	.	PROPN
fcis-5314	107	20	path	path	PROPN
fcis-5314	107	21	planning	planning	PROPN
fcis-5314	107	22	of	of	ADP
fcis-5314	107	23	mobile	mobile	NOUN
fcis-5314	107	24	robot	robot	NOUN
fcis-5314	107	25	based	base	VERB
fcis-5314	107	26	on	on	ADP
fcis-5314	107	27	improved	improve	VERB
fcis-5314	107	28	ant	ant	ADJ
fcis-5314	107	29	colony	colony	NOUN
fcis-5314	107	30	algorithm	algorithm	NOUN
fcis-5314	107	31	.	.	PUNCT
fcis-5314	108	1	science	science	NOUN
fcis-5314	108	2	technology	technology	NOUN
fcis-5314	108	3	and	and	CCONJ
fcis-5314	108	4	engineering	engineering	NOUN
fcis-5314	108	5	.	.	PUNCT
fcis-5314	109	1	vol	vol	NOUN
fcis-5314	109	2	.	.	PROPN
fcis-5314	110	1	22	22	NUM
fcis-5314	110	2	(	(	PUNCT
fcis-5314	110	3	2022	2022	NUM
fcis-5314	110	4	)	)	PUNCT
fcis-5314	111	1	no	no	NOUN
fcis-5314	111	2	.	.	NOUN
fcis-5314	111	3	28	28	NUM
fcis-5314	111	4	,	,	PUNCT
fcis-5314	111	5	p.	p.	NOUN
fcis-5314	111	6	12484	12484	NUM
fcis-5314	111	7	-	-	SYM
fcis-5314	111	8	12490	12490	NUM
fcis-5314	111	9	.	.	PUNCT
fcis-5314	112	1	[	[	X
fcis-5314	112	2	5	5	X
fcis-5314	112	3	]	]	PUNCT
fcis-5314	112	4	wang	wang	PROPN
fcis-5314	112	5	yi	yi	PROPN
fcis-5314	112	6	-	-	PUNCT
fcis-5314	112	7	hu	hu	PROPN
fcis-5314	112	8	,	,	PUNCT
fcis-5314	112	9	wang	wang	PROPN
fcis-5314	112	10	si	si	PROPN
fcis-5314	112	11	-	-	PUNCT
fcis-5314	112	12	ming	ming	PROPN
fcis-5314	112	13	.	.	PUNCT
fcis-5314	113	1	uav	uav	PROPN
fcis-5314	113	2	path	path	PROPN
fcis-5314	113	3	planning	planning	NOUN
fcis-5314	113	4	based	base	VERB
fcis-5314	113	5	on	on	ADP
fcis-5314	113	6	improved	improve	VERB
fcis-5314	113	7	particle	particle	NOUN
fcis-5314	113	8	swarm	swarm	NOUN
fcis-5314	113	9	optimization	optimization	NOUN
fcis-5314	113	10	.	.	PUNCT
fcis-5314	114	1	computer	computer	NOUN
fcis-5314	114	2	engineering	engineering	NOUN
fcis-5314	114	3	and	and	CCONJ
fcis-5314	114	4	science	science	NOUN
fcis-5314	114	5	.	.	PUNCT
fcis-5314	115	1	vol	vol	NOUN
fcis-5314	115	2	.	.	PUNCT
fcis-5314	116	1	42	42	NUM
fcis-5314	116	2	(	(	PUNCT
fcis-5314	116	3	2022	2022	NUM
fcis-5314	116	4	)	)	PUNCT
fcis-5314	117	1	no	no	INTJ
fcis-5314	117	2	.	.	NOUN
fcis-5314	117	3	09	09	NUM
fcis-5314	117	4	,	,	PUNCT
fcis-5314	117	5	p.	p.	NOUN
fcis-5314	117	6	1690	1690	NUM
fcis-5314	117	7	-	-	SYM
fcis-5314	117	8	1696	1696	NUM
fcis-5314	117	9	.	.	PUNCT
fcis-5314	118	1	81	81	NUM
fcis-5314	119	1	[	[	SYM
fcis-5314	119	2	6	6	NUM
fcis-5314	119	3	]	]	X
fcis-5314	119	4	sun	sun	PROPN
fcis-5314	119	5	bo	bo	PROPN
fcis-5314	119	6	,	,	PUNCT
fcis-5314	119	7	jiang	jiang	PROPN
fcis-5314	119	8	ping	ping	PROPN
fcis-5314	119	9	,	,	PUNCT
fcis-5314	119	10	zhou	zhou	PROPN
fcis-5314	119	11	genrong	genrong	PROPN
fcis-5314	119	12	,	,	PUNCT
fcis-5314	119	13	et	et	PROPN
fcis-5314	119	14	al	al	PROPN
fcis-5314	119	15	.	.	PUNCT
fcis-5314	119	16	application	application	NOUN
fcis-5314	119	17	of	of	ADP
fcis-5314	119	18	improved	improve	VERB
fcis-5314	119	19	genetic	genetic	ADJ
fcis-5314	119	20	algorithm	algorithm	NOUN
fcis-5314	119	21	in	in	ADP
fcis-5314	119	22	path	path	NOUN
fcis-5314	119	23	planning	planning	NOUN
fcis-5314	119	24	of	of	ADP
fcis-5314	119	25	mobile	mobile	NOUN
fcis-5314	119	26	robots	robot	NOUN
fcis-5314	119	27	.	.	PUNCT
fcis-5314	120	1	computer	computer	NOUN
fcis-5314	120	2	engineering	engineering	NOUN
fcis-5314	120	3	and	and	CCONJ
fcis-5314	120	4	applications	application	NOUN
fcis-5314	120	5	.	.	PUNCT
fcis-5314	121	1	vol	vol	NOUN
fcis-5314	121	2	.	.	PUNCT
fcis-5314	122	1	55	55	NUM
fcis-5314	122	2	(	(	PUNCT
fcis-5314	122	3	2019	2019	NUM
fcis-5314	122	4	)	)	PUNCT
fcis-5314	123	1	no	no	INTJ
fcis-5314	123	2	.	.	NOUN
fcis-5314	123	3	17	17	NUM
fcis-5314	123	4	,	,	PUNCT
fcis-5314	123	5	p.	p.	NOUN
fcis-5314	123	6	162	162	NUM
fcis-5314	124	1	-	-	SYM
fcis-5314	124	2	168	168	NUM
fcis-5314	124	3	.	.	PUNCT
fcis-5314	125	1	[	[	X
fcis-5314	125	2	7	7	NUM
fcis-5314	125	3	]	]	PUNCT
fcis-5314	125	4	xu	xu	PROPN
fcis-5314	125	5	mengying	mengying	PROPN
fcis-5314	125	6	,	,	PUNCT
fcis-5314	125	7	wang	wang	PROPN
fcis-5314	125	8	jiaojiao	jiaojiao	PROPN
fcis-5314	125	9	,	,	PUNCT
fcis-5314	125	10	liu	liu	PROPN
fcis-5314	125	11	bao	bao	PROPN
fcis-5314	125	12	,	,	PUNCT
fcis-5314	126	1	et	et	PROPN
fcis-5314	126	2	al	al	PROPN
fcis-5314	126	3	.	.	PROPN
fcis-5314	126	4	path	path	PROPN
fcis-5314	126	5	planning	planning	NOUN
fcis-5314	126	6	for	for	ADP
fcis-5314	126	7	robot	robot	NOUN
fcis-5314	126	8	based	base	VERB
fcis-5314	126	9	on	on	ADP
fcis-5314	126	10	improved	improve	VERB
fcis-5314	126	11	genetic	genetic	ADJ
fcis-5314	126	12	algorithm	algorithm	NOUN
fcis-5314	126	13	.	.	PUNCT
fcis-5314	127	1	journal	journal	PROPN
fcis-5314	127	2	of	of	ADP
fcis-5314	127	3	shihezi	shihezi	PROPN
fcis-5314	127	4	university	university	PROPN
fcis-5314	127	5	(	(	PUNCT
fcis-5314	127	6	natural	natural	ADJ
fcis-5314	127	7	science	science	NOUN
fcis-5314	127	8	)	)	PUNCT
fcis-5314	127	9	.	.	PUNCT
fcis-5314	128	1	vol	vol	NOUN
fcis-5314	128	2	.	.	PROPN
fcis-5314	129	1	39	39	NUM
fcis-5314	129	2	(	(	PUNCT
fcis-5314	129	3	2021	2021	NUM
fcis-5314	129	4	)	)	PUNCT
fcis-5314	130	1	no	no	INTJ
fcis-5314	130	2	.	.	NOUN
fcis-5314	130	3	03	03	NUM
fcis-5314	130	4	,	,	PUNCT
fcis-5314	130	5	p.	p.	NOUN
fcis-5314	130	6	391	391	NUM
fcis-5314	130	7	-	-	SYM
fcis-5314	130	8	396	396	NUM
fcis-5314	130	9	.	.	PUNCT