id	sid	tid	token	lemma	pos
ajst-20198	1	1	academic	academic	ADJ
ajst-20198	1	2	journal	journal	NOUN
ajst-20198	1	3	of	of	ADP
ajst-20198	1	4	science	science	NOUN
ajst-20198	1	5	and	and	CCONJ
ajst-20198	1	6	technology	technology	NOUN
ajst-20198	1	7	issn	issn	NOUN
ajst-20198	1	8	:	:	PUNCT
ajst-20198	1	9	2771	2771	NUM
ajst-20198	1	10	-	-	SYM
ajst-20198	1	11	3032	3032	NUM
ajst-20198	1	12	|	|	NOUN
ajst-20198	1	13	vol	vol	NOUN
ajst-20198	1	14	.	.	PROPN
ajst-20198	2	1	10	10	NUM
ajst-20198	2	2	,	,	PUNCT
ajst-20198	2	3	no	no	INTJ
ajst-20198	2	4	.	.	NOUN
ajst-20198	2	5	2	2	NUM
ajst-20198	2	6	,	,	PUNCT
ajst-20198	2	7	2024	2024	NUM
ajst-20198	2	8	114	114	NUM
ajst-20198	2	9	improved	improve	VERB
ajst-20198	2	10	crab	crab	NOUN
ajst-20198	2	11	algorithm	algorithm	NOUN
ajst-20198	2	12	based	base	VERB
ajst-20198	2	13	on	on	ADP
ajst-20198	2	14	chaos	chaos	NOUN
ajst-20198	2	15	theory	theory	NOUN
ajst-20198	2	16	and	and	CCONJ
ajst-20198	2	17	its	its	PRON
ajst-20198	2	18	application	application	NOUN
ajst-20198	2	19	in	in	ADP
ajst-20198	2	20	parameter	parameter	NOUN
ajst-20198	2	21	identification	identification	NOUN
ajst-20198	2	22	of	of	ADP
ajst-20198	2	23	fresnel	fresnel	ADJ
ajst-20198	2	24	refractive	refractive	ADJ
ajst-20198	2	25	index	index	NOUN
ajst-20198	2	26	lifei	lifei	PROPN
ajst-20198	2	27	zhu	zhu	PROPN
ajst-20198	2	28	,	,	PUNCT
ajst-20198	2	29	lipu	lipu	PROPN
ajst-20198	2	30	zhang	zhang	PROPN
ajst-20198	2	31	*	*	PROPN
ajst-20198	2	32	college	college	PROPN
ajst-20198	2	33	of	of	ADP
ajst-20198	2	34	media	medium	NOUN
ajst-20198	2	35	engineering	engineering	NOUN
ajst-20198	2	36	,	,	PUNCT
ajst-20198	2	37	communication	communication	NOUN
ajst-20198	2	38	university	university	PROPN
ajst-20198	2	39	of	of	ADP
ajst-20198	2	40	zhejiang	zhejiang	PROPN
ajst-20198	2	41	,	,	PUNCT
ajst-20198	2	42	hangzhou	hangzhou	PROPN
ajst-20198	2	43	,	,	PUNCT
ajst-20198	2	44	310018	310018	NUM
ajst-20198	2	45	,	,	PUNCT
ajst-20198	2	46	china	china	PROPN
ajst-20198	2	47	*	*	PUNCT
ajst-20198	2	48	corresponding	correspond	VERB
ajst-20198	2	49	author	author	NOUN
ajst-20198	2	50	:	:	PUNCT
ajst-20198	2	51	215702224@stu.cuz.edu.cn	215702224@stu.cuz.edu.cn	NUM
ajst-20198	2	52	abstract	abstract	NOUN
ajst-20198	2	53	:	:	PUNCT
ajst-20198	2	54	the	the	DET
ajst-20198	2	55	crab	crab	NOUN
ajst-20198	2	56	algorithm	algorithm	NOUN
ajst-20198	2	57	is	be	AUX
ajst-20198	2	58	an	an	DET
ajst-20198	2	59	evolutionary	evolutionary	ADJ
ajst-20198	2	60	algorithm	algorithm	NOUN
ajst-20198	2	61	inspired	inspire	VERB
ajst-20198	2	62	by	by	ADP
ajst-20198	2	63	the	the	DET
ajst-20198	2	64	behavior	behavior	NOUN
ajst-20198	2	65	of	of	ADP
ajst-20198	2	66	crabs	crab	NOUN
ajst-20198	2	67	,	,	PUNCT
ajst-20198	2	68	which	which	PRON
ajst-20198	2	69	balances	balance	VERB
ajst-20198	2	70	global	global	ADJ
ajst-20198	2	71	search	search	NOUN
ajst-20198	2	72	and	and	CCONJ
ajst-20198	2	73	local	local	ADJ
ajst-20198	2	74	optimization	optimization	NOUN
ajst-20198	2	75	by	by	ADP
ajst-20198	2	76	simulating	simulate	VERB
ajst-20198	2	77	the	the	DET
ajst-20198	2	78	behavioral	behavioral	ADJ
ajst-20198	2	79	strategies	strategy	NOUN
ajst-20198	2	80	of	of	ADP
ajst-20198	2	81	crabs	crab	NOUN
ajst-20198	2	82	.	.	PUNCT
ajst-20198	3	1	this	this	DET
ajst-20198	3	2	paper	paper	NOUN
ajst-20198	3	3	introduces	introduce	NOUN
ajst-20198	3	4	chaos	chaos	NOUN
ajst-20198	3	5	theory	theory	NOUN
ajst-20198	3	6	and	and	CCONJ
ajst-20198	3	7	proposes	propose	VERB
ajst-20198	3	8	a	a	DET
ajst-20198	3	9	chaos	chaos	NOUN
ajst-20198	3	10	disturbance	disturbance	NOUN
ajst-20198	3	11	strategy	strategy	NOUN
ajst-20198	3	12	.	.	PUNCT
ajst-20198	4	1	chaos	chaos	NOUN
ajst-20198	4	2	variables	variable	NOUN
ajst-20198	4	3	are	be	AUX
ajst-20198	4	4	introduced	introduce	VERB
ajst-20198	4	5	into	into	ADP
ajst-20198	4	6	the	the	DET
ajst-20198	4	7	iteration	iteration	NOUN
ajst-20198	4	8	process	process	NOUN
ajst-20198	4	9	of	of	ADP
ajst-20198	4	10	the	the	DET
ajst-20198	4	11	crab	crab	NOUN
ajst-20198	4	12	algorithm	algorithm	NOUN
ajst-20198	4	13	to	to	PART
ajst-20198	4	14	perturb	perturb	VERB
ajst-20198	4	15	the	the	DET
ajst-20198	4	16	position	position	NOUN
ajst-20198	4	17	and	and	CCONJ
ajst-20198	4	18	velocity	velocity	NOUN
ajst-20198	4	19	of	of	ADP
ajst-20198	4	20	individuals	individual	NOUN
ajst-20198	4	21	,	,	PUNCT
ajst-20198	4	22	thereby	thereby	ADV
ajst-20198	4	23	escaping	escape	VERB
ajst-20198	4	24	local	local	ADJ
ajst-20198	4	25	optima	optima	NOUN
ajst-20198	4	26	and	and	CCONJ
ajst-20198	4	27	achieving	achieve	VERB
ajst-20198	4	28	global	global	ADJ
ajst-20198	4	29	optimization	optimization	NOUN
ajst-20198	4	30	.	.	PUNCT
ajst-20198	5	1	several	several	ADJ
ajst-20198	5	2	test	test	NOUN
ajst-20198	5	3	functions	function	NOUN
ajst-20198	5	4	are	be	AUX
ajst-20198	5	5	used	use	VERB
ajst-20198	5	6	to	to	PART
ajst-20198	5	7	compare	compare	VERB
ajst-20198	5	8	the	the	DET
ajst-20198	5	9	new	new	ADJ
ajst-20198	5	10	algorithm	algorithm	NOUN
ajst-20198	5	11	with	with	ADP
ajst-20198	5	12	the	the	DET
ajst-20198	5	13	original	original	ADJ
ajst-20198	5	14	one	one	NOUN
ajst-20198	5	15	,	,	PUNCT
ajst-20198	5	16	yielding	yield	VERB
ajst-20198	5	17	better	well	ADJ
ajst-20198	5	18	results	result	NOUN
ajst-20198	5	19	.	.	PUNCT
ajst-20198	6	1	in	in	ADP
ajst-20198	6	2	the	the	DET
ajst-20198	6	3	application	application	NOUN
ajst-20198	6	4	of	of	ADP
ajst-20198	6	5	parameter	parameter	NOUN
ajst-20198	6	6	identification	identification	NOUN
ajst-20198	6	7	of	of	ADP
ajst-20198	6	8	fresnel	fresnel	PROPN
ajst-20198	6	9	refractive	refractive	ADJ
ajst-20198	6	10	index	index	NOUN
ajst-20198	6	11	,	,	PUNCT
ajst-20198	6	12	an	an	DET
ajst-20198	6	13	optimization	optimization	NOUN
ajst-20198	6	14	model	model	NOUN
ajst-20198	6	15	is	be	AUX
ajst-20198	6	16	constructed	construct	VERB
ajst-20198	6	17	,	,	PUNCT
ajst-20198	6	18	and	and	CCONJ
ajst-20198	6	19	the	the	DET
ajst-20198	6	20	improved	improved	ADJ
ajst-20198	6	21	crab	crab	NOUN
ajst-20198	6	22	algorithm	algorithm	NOUN
ajst-20198	6	23	is	be	AUX
ajst-20198	6	24	applied	apply	VERB
ajst-20198	6	25	to	to	PART
ajst-20198	6	26	solve	solve	VERB
ajst-20198	6	27	the	the	DET
ajst-20198	6	28	model	model	NOUN
ajst-20198	6	29	.	.	PUNCT
ajst-20198	7	1	the	the	DET
ajst-20198	7	2	experimental	experimental	ADJ
ajst-20198	7	3	results	result	NOUN
ajst-20198	7	4	show	show	VERB
ajst-20198	7	5	that	that	SCONJ
ajst-20198	7	6	compared	compare	VERB
ajst-20198	7	7	with	with	ADP
ajst-20198	7	8	the	the	DET
ajst-20198	7	9	traditional	traditional	ADJ
ajst-20198	7	10	crab	crab	NOUN
ajst-20198	7	11	algorithm	algorithm	NOUN
ajst-20198	7	12	,	,	PUNCT
ajst-20198	7	13	the	the	DET
ajst-20198	7	14	improved	improved	ADJ
ajst-20198	7	15	algorithm	algorithm	NOUN
ajst-20198	7	16	proposed	propose	VERB
ajst-20198	7	17	in	in	ADP
ajst-20198	7	18	this	this	DET
ajst-20198	7	19	paper	paper	NOUN
ajst-20198	7	20	has	have	AUX
ajst-20198	7	21	significantly	significantly	ADV
ajst-20198	7	22	improved	improve	VERB
ajst-20198	7	23	identification	identification	NOUN
ajst-20198	7	24	accuracy	accuracy	NOUN
ajst-20198	7	25	and	and	CCONJ
ajst-20198	7	26	convergence	convergence	NOUN
ajst-20198	7	27	speed	speed	NOUN
ajst-20198	7	28	.	.	PUNCT
ajst-20198	8	1	in	in	ADP
ajst-20198	8	2	addition	addition	NOUN
ajst-20198	8	3	,	,	PUNCT
ajst-20198	8	4	by	by	ADP
ajst-20198	8	5	comparing	compare	VERB
ajst-20198	8	6	with	with	ADP
ajst-20198	8	7	other	other	ADJ
ajst-20198	8	8	optimization	optimization	NOUN
ajst-20198	8	9	algorithms	algorithm	NOUN
ajst-20198	8	10	,	,	PUNCT
ajst-20198	8	11	the	the	DET
ajst-20198	8	12	superiority	superiority	NOUN
ajst-20198	8	13	of	of	ADP
ajst-20198	8	14	this	this	DET
ajst-20198	8	15	paper	paper	NOUN
ajst-20198	8	16	's	's	PART
ajst-20198	8	17	algorithm	algorithm	NOUN
ajst-20198	8	18	is	be	AUX
ajst-20198	8	19	verified	verify	VERB
ajst-20198	8	20	.	.	PUNCT
ajst-20198	9	1	keywords	keyword	NOUN
ajst-20198	9	2	:	:	PUNCT
ajst-20198	9	3	hermit	hermit	ADJ
ajst-20198	9	4	crab	crab	NOUN
ajst-20198	9	5	algorithm	algorithm	NOUN
ajst-20198	9	6	,	,	PUNCT
ajst-20198	9	7	chaotic	chaotic	ADJ
ajst-20198	9	8	,	,	PUNCT
ajst-20198	9	9	optimization	optimization	NOUN
ajst-20198	9	10	,	,	PUNCT
ajst-20198	9	11	cec2005	cec2005	NOUN
ajst-20198	9	12	,	,	PUNCT
ajst-20198	9	13	intelligent	intelligent	ADJ
ajst-20198	9	14	algorithm	algorithm	NOUN
ajst-20198	9	15	.	.	PUNCT
ajst-20198	10	1	1	1	X
ajst-20198	10	2	.	.	X
ajst-20198	10	3	background	background	NOUN
ajst-20198	10	4	introduction	introduction	NOUN
ajst-20198	10	5	crab	crab	NOUN
ajst-20198	10	6	optimization	optimization	NOUN
ajst-20198	10	7	algorithms	algorithm	NOUN
ajst-20198	10	8	are	be	AUX
ajst-20198	10	9	a	a	DET
ajst-20198	10	10	type	type	NOUN
ajst-20198	10	11	of	of	ADP
ajst-20198	10	12	heuristic	heuristic	ADJ
ajst-20198	10	13	optimization	optimization	NOUN
ajst-20198	10	14	algorithm	algorithm	NOUN
ajst-20198	10	15	inspired	inspire	VERB
ajst-20198	10	16	by	by	ADP
ajst-20198	10	17	natural	natural	ADJ
ajst-20198	10	18	phenomena	phenomenon	NOUN
ajst-20198	10	19	or	or	CCONJ
ajst-20198	10	20	human	human	ADJ
ajst-20198	10	21	behavior	behavior	NOUN
ajst-20198	10	22	,	,	PUNCT
ajst-20198	10	23	which	which	PRON
ajst-20198	10	24	seeks	seek	VERB
ajst-20198	10	25	the	the	DET
ajst-20198	10	26	optimal	optimal	ADJ
ajst-20198	10	27	solution	solution	NOUN
ajst-20198	10	28	based	base	VERB
ajst-20198	10	29	on	on	ADP
ajst-20198	10	30	the	the	DET
ajst-20198	10	31	characteristics	characteristic	NOUN
ajst-20198	10	32	of	of	ADP
ajst-20198	10	33	natural	natural	ADJ
ajst-20198	10	34	phenomena	phenomenon	NOUN
ajst-20198	10	35	.	.	PUNCT
ajst-20198	11	1	heuristic	heuristic	ADJ
ajst-20198	11	2	optimization	optimization	NOUN
ajst-20198	11	3	algorithms	algorithm	NOUN
ajst-20198	11	4	include	include	VERB
ajst-20198	11	5	bat	bat	NOUN
ajst-20198	11	6	algorithm	algorithm	NOUN
ajst-20198	11	7	(	(	PUNCT
ajst-20198	11	8	ba	ba	NOUN
ajst-20198	11	9	)	)	PUNCT
ajst-20198	11	10	,	,	PUNCT
ajst-20198	11	11	particle	particle	NOUN
ajst-20198	11	12	swarm	swarm	NOUN
ajst-20198	11	13	optimization	optimization	NOUN
ajst-20198	11	14	(	(	PUNCT
ajst-20198	11	15	pso	pso	NOUN
ajst-20198	11	16	)	)	PUNCT
ajst-20198	11	17	,	,	PUNCT
ajst-20198	11	18	simulated	simulate	VERB
ajst-20198	11	19	annealing	annealing	NOUN
ajst-20198	11	20	(	(	PUNCT
ajst-20198	11	21	sa	sa	PROPN
ajst-20198	11	22	)	)	PUNCT
ajst-20198	11	23	,	,	PUNCT
ajst-20198	11	24	ant	ant	ADJ
ajst-20198	11	25	colony	colony	NOUN
ajst-20198	11	26	optimizer	optimizer	NOUN
ajst-20198	11	27	(	(	PUNCT
ajst-20198	11	28	aco	aco	PROPN
ajst-20198	11	29	)	)	PUNCT
ajst-20198	11	30	,	,	PUNCT
ajst-20198	11	31	differential	differential	ADJ
ajst-20198	11	32	evolution	evolution	NOUN
ajst-20198	11	33	(	(	PUNCT
ajst-20198	11	34	de	de	ADJ
ajst-20198	11	35	)	)	PUNCT
ajst-20198	11	36	,	,	PUNCT
ajst-20198	11	37	whale	whale	NOUN
ajst-20198	11	38	algorithm	algorithm	NOUN
ajst-20198	11	39	(	(	PUNCT
ajst-20198	11	40	wa	wa	PROPN
ajst-20198	11	41	)	)	PUNCT
ajst-20198	11	42	,	,	PUNCT
ajst-20198	11	43	etc	etc	X
ajst-20198	11	44	.	.	X
ajst-20198	12	1	these	these	DET
ajst-20198	12	2	algorithms	algorithm	NOUN
ajst-20198	12	3	can	can	AUX
ajst-20198	12	4	be	be	AUX
ajst-20198	12	5	combined	combine	VERB
ajst-20198	12	6	with	with	ADP
ajst-20198	12	7	different	different	ADJ
ajst-20198	12	8	algorithms	algorithm	NOUN
ajst-20198	12	9	for	for	ADP
ajst-20198	12	10	improvement	improvement	NOUN
ajst-20198	12	11	according	accord	VERB
ajst-20198	12	12	to	to	ADP
ajst-20198	12	13	different	different	ADJ
ajst-20198	12	14	situations	situation	NOUN
ajst-20198	12	15	.	.	PUNCT
ajst-20198	13	1	the	the	DET
ajst-20198	13	2	improved	improved	ADJ
ajst-20198	13	3	algorithms	algorithm	NOUN
ajst-20198	13	4	can	can	AUX
ajst-20198	13	5	be	be	AUX
ajst-20198	13	6	used	use	VERB
ajst-20198	13	7	to	to	PART
ajst-20198	13	8	solve	solve	VERB
ajst-20198	13	9	various	various	ADJ
ajst-20198	13	10	practical	practical	ADJ
ajst-20198	13	11	problems	problem	NOUN
ajst-20198	13	12	,	,	PUNCT
ajst-20198	13	13	such	such	ADJ
ajst-20198	13	14	as	as	ADP
ajst-20198	13	15	:	:	PUNCT
ajst-20198	13	16	the	the	DET
ajst-20198	13	17	improved	improve	VERB
ajst-20198	13	18	nlm	nlm	NOUN
ajst-20198	13	19	strategy	strategy	NOUN
ajst-20198	13	20	based	base	VERB
ajst-20198	13	21	on	on	ADP
ajst-20198	13	22	genetic	genetic	ADJ
ajst-20198	13	23	algorithm	algorithm	NOUN
ajst-20198	14	1	[	[	X
ajst-20198	14	2	1	1	NUM
ajst-20198	14	3	]	]	PUNCT
ajst-20198	14	4	,	,	PUNCT
ajst-20198	14	5	vehicle	vehicle	NOUN
ajst-20198	14	6	network	network	NOUN
ajst-20198	14	7	computing	computing	NOUN
ajst-20198	14	8	offloading	offloading	NOUN
ajst-20198	14	9	based	base	VERB
ajst-20198	14	10	on	on	ADP
ajst-20198	14	11	improved	improved	ADJ
ajst-20198	14	12	whale	whale	NOUN
ajst-20198	14	13	optimization	optimization	NOUN
ajst-20198	14	14	algorithm	algorithm	NOUN
ajst-20198	14	15	[	[	X
ajst-20198	14	16	2	2	NUM
ajst-20198	14	17	]	]	PUNCT
ajst-20198	14	18	,	,	PUNCT
ajst-20198	14	19	dv	dv	PROPN
ajst-20198	14	20	-	-	PUNCT
ajst-20198	14	21	hop	hop	PROPN
ajst-20198	14	22	positioning	positioning	NOUN
ajst-20198	14	23	algorithm	algorithm	NOUN
ajst-20198	14	24	optimized	optimize	VERB
ajst-20198	14	25	by	by	ADP
ajst-20198	14	26	improved	improve	VERB
ajst-20198	14	27	sparrow	sparrow	ADJ
ajst-20198	14	28	search	search	NOUN
ajst-20198	15	1	[	[	X
ajst-20198	15	2	3	3	NUM
ajst-20198	15	3	]	]	PUNCT
ajst-20198	15	4	,	,	PUNCT
ajst-20198	15	5	and	and	CCONJ
ajst-20198	15	6	wireless	wireless	ADJ
ajst-20198	15	7	sensor	sensor	NOUN
ajst-20198	15	8	network	network	NOUN
ajst-20198	15	9	coverage	coverage	NOUN
ajst-20198	15	10	optimization	optimization	NOUN
ajst-20198	15	11	based	base	VERB
ajst-20198	15	12	on	on	ADP
ajst-20198	15	13	improved	improve	VERB
ajst-20198	15	14	particle	particle	NOUN
ajst-20198	15	15	swarm	swarm	NOUN
ajst-20198	15	16	algorithm	algorithm	NOUN
ajst-20198	16	1	[	[	X
ajst-20198	16	2	4	4	NUM
ajst-20198	16	3	]	]	PUNCT
ajst-20198	16	4	.	.	PUNCT
ajst-20198	17	1	the	the	DET
ajst-20198	17	2	crab	crab	NOUN
ajst-20198	17	3	algorithm	algorithm	NOUN
ajst-20198	17	4	(	(	PUNCT
ajst-20198	17	5	ca	ca	NOUN
ajst-20198	17	6	)	)	PUNCT
ajst-20198	17	7	was	be	AUX
ajst-20198	17	8	proposed	propose	VERB
ajst-20198	17	9	by	by	ADP
ajst-20198	17	10	li	li	PROPN
ajst-20198	17	11	shuanglong	shuanglong	PROPN
ajst-20198	17	12	and	and	CCONJ
ajst-20198	17	13	gu	gu	NOUN
ajst-20198	17	14	siyu	siyu	PROPN
ajst-20198	17	15	in	in	ADP
ajst-20198	17	16	2012	2012	NUM
ajst-20198	17	17	,	,	PUNCT
ajst-20198	17	18	which	which	PRON
ajst-20198	17	19	simulates	simulate	VERB
ajst-20198	17	20	the	the	DET
ajst-20198	17	21	method	method	NOUN
ajst-20198	17	22	of	of	ADP
ajst-20198	17	23	crabs	crab	NOUN
ajst-20198	17	24	constantly	constantly	ADV
ajst-20198	17	25	searching	search	VERB
ajst-20198	17	26	for	for	ADP
ajst-20198	17	27	the	the	DET
ajst-20198	17	28	most	most	ADV
ajst-20198	17	29	suitable	suitable	ADJ
ajst-20198	17	30	shell	shell	NOUN
ajst-20198	17	31	for	for	ADP
ajst-20198	17	32	their	their	PRON
ajst-20198	17	33	survival	survival	NOUN
ajst-20198	17	34	in	in	ADP
ajst-20198	17	35	coastal	coastal	ADJ
ajst-20198	17	36	wetlands	wetland	NOUN
ajst-20198	17	37	.	.	PUNCT
ajst-20198	18	1	it	it	PRON
ajst-20198	18	2	has	have	VERB
ajst-20198	18	3	the	the	DET
ajst-20198	18	4	advantages	advantage	NOUN
ajst-20198	18	5	of	of	ADP
ajst-20198	18	6	strong	strong	ADJ
ajst-20198	18	7	global	global	ADJ
ajst-20198	18	8	search	search	NOUN
ajst-20198	18	9	ability	ability	NOUN
ajst-20198	18	10	and	and	CCONJ
ajst-20198	18	11	strong	strong	ADJ
ajst-20198	18	12	adaptability	adaptability	NOUN
ajst-20198	18	13	.	.	PUNCT
ajst-20198	19	1	however	however	ADV
ajst-20198	19	2	,	,	PUNCT
ajst-20198	19	3	there	there	PRON
ajst-20198	19	4	is	be	VERB
ajst-20198	19	5	still	still	ADV
ajst-20198	19	6	a	a	DET
ajst-20198	19	7	lot	lot	NOUN
ajst-20198	19	8	of	of	ADP
ajst-20198	19	9	room	room	NOUN
ajst-20198	19	10	for	for	ADP
ajst-20198	19	11	improvement	improvement	NOUN
ajst-20198	19	12	in	in	ADP
ajst-20198	19	13	parameter	parameter	NOUN
ajst-20198	19	14	setting	setting	NOUN
ajst-20198	19	15	and	and	CCONJ
ajst-20198	19	16	convergence	convergence	NOUN
ajst-20198	19	17	speed	speed	NOUN
ajst-20198	19	18	.	.	PUNCT
ajst-20198	20	1	in	in	ADP
ajst-20198	20	2	2023	2023	NUM
ajst-20198	20	3	,	,	PUNCT
ajst-20198	20	4	guo	guo	PROPN
ajst-20198	20	5	jia	jia	PROPN
ajst-20198	20	6	et	et	PROPN
ajst-20198	20	7	al	al	PROPN
ajst-20198	20	8	.	.	PROPN
ajst-20198	20	9	proposed	propose	VERB
ajst-20198	20	10	a	a	DET
ajst-20198	20	11	hermit	hermit	ADJ
ajst-20198	20	12	crab	crab	NOUN
ajst-20198	20	13	optimization	optimization	NOUN
ajst-20198	20	14	algorithm	algorithm	NOUN
ajst-20198	20	15	(	(	PUNCT
ajst-20198	20	16	hcoa	hcoa	NOUN
ajst-20198	20	17	)	)	PUNCT
ajst-20198	21	1	[	[	X
ajst-20198	21	2	5	5	NUM
ajst-20198	21	3	]	]	PUNCT
ajst-20198	21	4	,	,	PUNCT
ajst-20198	21	5	in	in	ADP
ajst-20198	21	6	which	which	PRON
ajst-20198	21	7	the	the	DET
ajst-20198	21	8	randomly	randomly	ADV
ajst-20198	21	9	wandering	wander	VERB
ajst-20198	21	10	crabs	crab	NOUN
ajst-20198	21	11	balance	balance	NOUN
ajst-20198	21	12	breadth	breadth	NOUN
ajst-20198	21	13	-	-	PUNCT
ajst-20198	21	14	first	first	ADJ
ajst-20198	21	15	search	search	NOUN
ajst-20198	21	16	and	and	CCONJ
ajst-20198	21	17	depth	depth	NOUN
ajst-20198	21	18	-	-	PUNCT
ajst-20198	21	19	first	first	ADJ
ajst-20198	21	20	search	search	NOUN
ajst-20198	21	21	based	base	VERB
ajst-20198	21	22	on	on	ADP
ajst-20198	21	23	the	the	DET
ajst-20198	21	24	two	two	NUM
ajst-20198	21	25	search	search	NOUN
ajst-20198	21	26	methods	method	NOUN
ajst-20198	21	27	of	of	ADP
ajst-20198	21	28	optimal	optimal	ADJ
ajst-20198	21	29	search	search	NOUN
ajst-20198	21	30	and	and	CCONJ
ajst-20198	21	31	historical	historical	ADJ
ajst-20198	21	32	path	path	NOUN
ajst-20198	21	33	search	search	NOUN
ajst-20198	21	34	,	,	PUNCT
ajst-20198	21	35	making	make	VERB
ajst-20198	21	36	them	they	PRON
ajst-20198	21	37	jump	jump	VERB
ajst-20198	21	38	out	out	ADP
ajst-20198	21	39	of	of	ADP
ajst-20198	21	40	local	local	ADJ
ajst-20198	21	41	optima	optima	NOUN
ajst-20198	21	42	.	.	PUNCT
ajst-20198	22	1	the	the	DET
ajst-20198	22	2	adaptability	adaptability	NOUN
ajst-20198	22	3	of	of	ADP
ajst-20198	22	4	each	each	DET
ajst-20198	22	5	crab	crab	NOUN
ajst-20198	22	6	is	be	AUX
ajst-20198	22	7	compared	compare	VERB
ajst-20198	22	8	,	,	PUNCT
ajst-20198	22	9	and	and	CCONJ
ajst-20198	22	10	the	the	DET
ajst-20198	22	11	crab	crab	NOUN
ajst-20198	22	12	with	with	ADP
ajst-20198	22	13	the	the	DET
ajst-20198	22	14	highest	high	ADJ
ajst-20198	22	15	adaptability	adaptability	NOUN
ajst-20198	22	16	is	be	AUX
ajst-20198	22	17	set	set	VERB
ajst-20198	22	18	as	as	ADP
ajst-20198	22	19	the	the	DET
ajst-20198	22	20	alpha	alpha	NOUN
ajst-20198	22	21	crab	crab	NOUN
ajst-20198	22	22	.	.	PUNCT
ajst-20198	23	1	since	since	SCONJ
ajst-20198	23	2	the	the	DET
ajst-20198	23	3	alpha	alpha	PROPN
ajst-20198	23	4	crab	crab	NOUN
ajst-20198	23	5	has	have	VERB
ajst-20198	23	6	more	more	ADJ
ajst-20198	23	7	and	and	CCONJ
ajst-20198	23	8	better	well	ADJ
ajst-20198	23	9	survival	survival	NOUN
ajst-20198	23	10	experience	experience	NOUN
ajst-20198	23	11	,	,	PUNCT
ajst-20198	23	12	it	it	PRON
ajst-20198	23	13	is	be	AUX
ajst-20198	23	14	more	more	ADV
ajst-20198	23	15	likely	likely	ADJ
ajst-20198	23	16	to	to	PART
ajst-20198	23	17	attract	attract	VERB
ajst-20198	23	18	more	more	ADJ
ajst-20198	23	19	crabs	crab	NOUN
ajst-20198	23	20	to	to	PART
ajst-20198	23	21	wander	wander	VERB
ajst-20198	23	22	around	around	ADP
ajst-20198	23	23	the	the	DET
ajst-20198	23	24	highly	highly	ADV
ajst-20198	23	25	adaptable	adaptable	ADJ
ajst-20198	23	26	alpha	alpha	NOUN
ajst-20198	23	27	crab	crab	NOUN
ajst-20198	23	28	.	.	PUNCT
ajst-20198	24	1	the	the	DET
ajst-20198	24	2	search	search	NOUN
ajst-20198	24	3	range	range	NOUN
ajst-20198	24	4	for	for	ADP
ajst-20198	24	5	the	the	DET
ajst-20198	24	6	optimal	optimal	ADJ
ajst-20198	24	7	solution	solution	NOUN
ajst-20198	24	8	gradually	gradually	ADV
ajst-20198	24	9	decreases	decrease	VERB
ajst-20198	24	10	,	,	PUNCT
ajst-20198	24	11	making	make	VERB
ajst-20198	24	12	the	the	DET
ajst-20198	24	13	algorithm	algorithm	NOUN
ajst-20198	24	14	more	more	ADV
ajst-20198	24	15	likely	likely	ADJ
ajst-20198	24	16	to	to	PART
ajst-20198	24	17	fall	fall	VERB
ajst-20198	24	18	into	into	ADP
ajst-20198	24	19	local	local	ADJ
ajst-20198	24	20	optima	optima	NOUN
ajst-20198	24	21	.	.	PUNCT
ajst-20198	25	1	both	both	DET
ajst-20198	25	2	search	search	NOUN
ajst-20198	25	3	strategies	strategy	NOUN
ajst-20198	25	4	only	only	ADV
ajst-20198	25	5	produce	produce	VERB
ajst-20198	25	6	linear	linear	ADJ
ajst-20198	25	7	changes	change	NOUN
ajst-20198	25	8	in	in	ADP
ajst-20198	25	9	time	time	NOUN
ajst-20198	25	10	complexity	complexity	NOUN
ajst-20198	25	11	,	,	PUNCT
ajst-20198	25	12	without	without	ADP
ajst-20198	25	13	considering	consider	VERB
ajst-20198	25	14	non	non	ADJ
ajst-20198	25	15	-	-	ADJ
ajst-20198	25	16	linear	linear	ADJ
ajst-20198	25	17	changes	change	NOUN
ajst-20198	25	18	.	.	PUNCT
ajst-20198	26	1	chaos	chaos	NOUN
ajst-20198	26	2	algorithm	algorithm	NOUN
ajst-20198	26	3	(	(	PUNCT
ajst-20198	26	4	ca	ca	NOUN
ajst-20198	26	5	)	)	PUNCT
ajst-20198	26	6	was	be	AUX
ajst-20198	26	7	first	first	ADV
ajst-20198	26	8	proposed	propose	VERB
ajst-20198	26	9	by	by	ADP
ajst-20198	26	10	the	the	DET
ajst-20198	26	11	french	french	ADJ
ajst-20198	26	12	mathematician	mathematician	NOUN
ajst-20198	26	13	henri	henri	PROPN
ajst-20198	26	14	poincaré	poincaré	PROPN
ajst-20198	26	15	.	.	PUNCT
ajst-20198	27	1	chaos	chaos	NOUN
ajst-20198	27	2	search	search	NOUN
ajst-20198	27	3	strategy	strategy	NOUN
ajst-20198	27	4	is	be	AUX
ajst-20198	27	5	a	a	DET
ajst-20198	27	6	search	search	NOUN
ajst-20198	27	7	method	method	NOUN
ajst-20198	27	8	based	base	VERB
ajst-20198	27	9	on	on	ADP
ajst-20198	27	10	the	the	DET
ajst-20198	27	11	form	form	NOUN
ajst-20198	27	12	of	of	ADP
ajst-20198	27	13	chaos	chaos	NOUN
ajst-20198	27	14	variables	variable	NOUN
ajst-20198	27	15	,	,	PUNCT
ajst-20198	27	16	aimed	aim	VERB
ajst-20198	27	17	at	at	ADP
ajst-20198	27	18	improving	improve	VERB
ajst-20198	27	19	the	the	DET
ajst-20198	27	20	efficiency	efficiency	NOUN
ajst-20198	27	21	of	of	ADP
ajst-20198	27	22	later	later	ADJ
ajst-20198	27	23	searches	search	NOUN
ajst-20198	27	24	.	.	PUNCT
ajst-20198	28	1	chaos	chaos	NOUN
ajst-20198	28	2	is	be	AUX
ajst-20198	28	3	a	a	DET
ajst-20198	28	4	common	common	ADJ
ajst-20198	28	5	phenomenon	phenomenon	NOUN
ajst-20198	28	6	in	in	ADP
ajst-20198	28	7	nonlinear	nonlinear	ADJ
ajst-20198	28	8	systems	system	NOUN
ajst-20198	28	9	,	,	PUNCT
ajst-20198	28	10	and	and	CCONJ
ajst-20198	28	11	its	its	PRON
ajst-20198	28	12	search	search	NOUN
ajst-20198	28	13	has	have	AUX
ajst-20198	28	14	become	become	VERB
ajst-20198	28	15	a	a	DET
ajst-20198	28	16	novel	novel	ADJ
ajst-20198	28	17	global	global	ADJ
ajst-20198	28	18	optimization	optimization	NOUN
ajst-20198	28	19	technology	technology	NOUN
ajst-20198	28	20	.	.	PUNCT
ajst-20198	29	1	the	the	DET
ajst-20198	29	2	chaos	chaos	NOUN
ajst-20198	29	3	search	search	NOUN
ajst-20198	29	4	strategy	strategy	NOUN
ajst-20198	29	5	uses	use	VERB
ajst-20198	29	6	chaos	chaos	NOUN
ajst-20198	29	7	mapping	mapping	NOUN
ajst-20198	29	8	to	to	PART
ajst-20198	29	9	generate	generate	VERB
ajst-20198	29	10	chaos	chaos	NOUN
ajst-20198	29	11	sequences	sequence	NOUN
ajst-20198	29	12	and	and	CCONJ
ajst-20198	29	13	follows	follow	VERB
ajst-20198	29	14	specific	specific	ADJ
ajst-20198	29	15	rules	rule	NOUN
ajst-20198	29	16	during	during	ADP
ajst-20198	29	17	the	the	DET
ajst-20198	29	18	search	search	NOUN
ajst-20198	29	19	process	process	NOUN
ajst-20198	29	20	.	.	PUNCT
ajst-20198	30	1	this	this	DET
ajst-20198	30	2	strategy	strategy	NOUN
ajst-20198	30	3	is	be	AUX
ajst-20198	30	4	renewable	renewable	ADJ
ajst-20198	30	5	,	,	PUNCT
ajst-20198	30	6	can	can	AUX
ajst-20198	30	7	show	show	VERB
ajst-20198	30	8	ergodicity	ergodicity	NOUN
ajst-20198	30	9	in	in	ADP
ajst-20198	30	10	the	the	DET
ajst-20198	30	11	search	search	NOUN
ajst-20198	30	12	space	space	NOUN
ajst-20198	30	13	,	,	PUNCT
ajst-20198	30	14	and	and	CCONJ
ajst-20198	30	15	any	any	DET
ajst-20198	30	16	state	state	NOUN
ajst-20198	30	17	will	will	AUX
ajst-20198	30	18	not	not	PART
ajst-20198	30	19	reappear	reappear	VERB
ajst-20198	30	20	,	,	PUNCT
ajst-20198	30	21	thus	thus	ADV
ajst-20198	30	22	helping	help	VERB
ajst-20198	30	23	to	to	PART
ajst-20198	30	24	coordinate	coordinate	VERB
ajst-20198	30	25	global	global	ADJ
ajst-20198	30	26	search	search	NOUN
ajst-20198	30	27	and	and	CCONJ
ajst-20198	30	28	local	local	ADJ
ajst-20198	30	29	development	development	NOUN
ajst-20198	30	30	.	.	PUNCT
ajst-20198	31	1	applying	apply	VERB
ajst-20198	31	2	this	this	DET
ajst-20198	31	3	algorithm	algorithm	NOUN
ajst-20198	31	4	to	to	ADP
ajst-20198	31	5	other	other	ADJ
ajst-20198	31	6	optimization	optimization	NOUN
ajst-20198	31	7	algorithms	algorithm	NOUN
ajst-20198	31	8	can	can	AUX
ajst-20198	31	9	improve	improve	VERB
ajst-20198	31	10	the	the	DET
ajst-20198	31	11	search	search	NOUN
ajst-20198	31	12	ability	ability	NOUN
ajst-20198	31	13	of	of	ADP
ajst-20198	31	14	the	the	DET
ajst-20198	31	15	algorithm	algorithm	NOUN
ajst-20198	31	16	,	,	PUNCT
ajst-20198	31	17	such	such	ADJ
ajst-20198	31	18	as	as	ADP
ajst-20198	31	19	:	:	PUNCT
ajst-20198	31	20	multi	multi	ADJ
ajst-20198	31	21	-	-	ADJ
ajst-20198	31	22	robot	robot	ADJ
ajst-20198	31	23	conflict	conflict	NOUN
ajst-20198	31	24	resolution	resolution	NOUN
ajst-20198	31	25	simulation	simulation	NOUN
ajst-20198	31	26	study	study	NOUN
ajst-20198	31	27	based	base	VERB
ajst-20198	31	28	on	on	ADP
ajst-20198	31	29	improved	improved	ADJ
ajst-20198	31	30	chaos	chaos	NOUN
ajst-20198	31	31	ant	ant	ADJ
ajst-20198	31	32	algorithm	algorithm	NOUN
ajst-20198	31	33	[	[	X
ajst-20198	31	34	6	6	NUM
ajst-20198	31	35	]	]	PUNCT
ajst-20198	31	36	,	,	PUNCT
ajst-20198	31	37	improved	improve	VERB
ajst-20198	31	38	cuckoo	cuckoo	NOUN
ajst-20198	31	39	search	search	NOUN
ajst-20198	31	40	algorithm	algorithm	NOUN
ajst-20198	31	41	based	base	VERB
ajst-20198	31	42	on	on	ADP
ajst-20198	31	43	chaos	chaos	NOUN
ajst-20198	31	44	algorithm	algorithm	NOUN
ajst-20198	31	45	and	and	CCONJ
ajst-20198	31	46	its	its	PRON
ajst-20198	31	47	application	application	NOUN
ajst-20198	31	48	[	[	X
ajst-20198	31	49	7	7	NUM
ajst-20198	31	50	]	]	PUNCT
ajst-20198	31	51	,	,	PUNCT
ajst-20198	31	52	traffic	traffic	NOUN
ajst-20198	31	53	light	light	NOUN
ajst-20198	31	54	duration	duration	NOUN
ajst-20198	31	55	adjustment	adjustment	NOUN
ajst-20198	31	56	simulation	simulation	NOUN
ajst-20198	31	57	based	base	VERB
ajst-20198	31	58	on	on	ADP
ajst-20198	31	59	chaos	chaos	NOUN
ajst-20198	31	60	genetic	genetic	ADJ
ajst-20198	31	61	algorithm	algorithm	NOUN
ajst-20198	31	62	[	[	X
ajst-20198	31	63	8	8	NUM
ajst-20198	31	64	]	]	PUNCT
ajst-20198	31	65	.	.	PUNCT
ajst-20198	32	1	in	in	ADP
ajst-20198	32	2	general	general	ADJ
ajst-20198	32	3	,	,	PUNCT
ajst-20198	32	4	ordinary	ordinary	ADJ
ajst-20198	32	5	crabs	crab	NOUN
ajst-20198	32	6	will	will	AUX
ajst-20198	32	7	follow	follow	VERB
ajst-20198	32	8	the	the	DET
ajst-20198	32	9	alpha	alpha	NOUN
ajst-20198	32	10	crab	crab	NOUN
ajst-20198	32	11	to	to	PART
ajst-20198	32	12	find	find	VERB
ajst-20198	32	13	the	the	DET
ajst-20198	32	14	most	most	ADV
ajst-20198	32	15	suitable	suitable	ADJ
ajst-20198	32	16	shell	shell	NOUN
ajst-20198	32	17	,	,	PUNCT
ajst-20198	32	18	but	but	CCONJ
ajst-20198	32	19	in	in	ADP
ajst-20198	32	20	reality	reality	NOUN
ajst-20198	32	21	,	,	PUNCT
ajst-20198	32	22	some	some	DET
ajst-20198	32	23	crabs	crab	NOUN
ajst-20198	32	24	may	may	AUX
ajst-20198	32	25	not	not	PART
ajst-20198	32	26	closely	closely	ADV
ajst-20198	32	27	follow	follow	VERB
ajst-20198	32	28	the	the	DET
ajst-20198	32	29	alpha	alpha	NOUN
ajst-20198	32	30	crab	crab	NOUN
ajst-20198	32	31	.	.	PUNCT
ajst-20198	33	1	to	to	PART
ajst-20198	33	2	simulate	simulate	VERB
ajst-20198	33	3	this	this	DET
ajst-20198	33	4	phenomenon	phenomenon	NOUN
ajst-20198	33	5	,	,	PUNCT
ajst-20198	33	6	this	this	DET
ajst-20198	33	7	paper	paper	NOUN
ajst-20198	33	8	introduces	introduce	NOUN
ajst-20198	33	9	chaos	chaos	NOUN
ajst-20198	33	10	theory	theory	NOUN
ajst-20198	33	11	,	,	PUNCT
ajst-20198	33	12	and	and	CCONJ
ajst-20198	33	13	at	at	ADP
ajst-20198	33	14	each	each	DET
ajst-20198	33	15	iteration	iteration	NOUN
ajst-20198	33	16	,	,	PUNCT
ajst-20198	33	17	chaos	chaos	NOUN
ajst-20198	33	18	values	value	NOUN
ajst-20198	33	19	are	be	AUX
ajst-20198	33	20	introduced	introduce	VERB
ajst-20198	33	21	as	as	ADP
ajst-20198	33	22	step	step	NOUN
ajst-20198	33	23	lengths	length	NOUN
ajst-20198	33	24	,	,	PUNCT
ajst-20198	33	25	increasing	increase	VERB
ajst-20198	33	26	the	the	DET
ajst-20198	33	27	randomness	randomness	NOUN
ajst-20198	33	28	and	and	CCONJ
ajst-20198	33	29	ergodicity	ergodicity	NOUN
ajst-20198	33	30	in	in	ADP
ajst-20198	33	31	the	the	DET
ajst-20198	33	32	process	process	NOUN
ajst-20198	33	33	of	of	ADP
ajst-20198	33	34	crabs	crab	NOUN
ajst-20198	33	35	searching	search	VERB
ajst-20198	33	36	for	for	ADP
ajst-20198	33	37	shells	shell	NOUN
ajst-20198	33	38	.	.	PUNCT
ajst-20198	34	1	this	this	DET
ajst-20198	34	2	results	result	VERB
ajst-20198	34	3	in	in	ADP
ajst-20198	34	4	an	an	DET
ajst-20198	34	5	improved	improved	ADJ
ajst-20198	34	6	crab	crab	NOUN
ajst-20198	34	7	algorithm	algorithm	NOUN
ajst-20198	34	8	based	base	VERB
ajst-20198	34	9	on	on	ADP
ajst-20198	34	10	chaos	chaos	NOUN
ajst-20198	34	11	theory	theory	NOUN
ajst-20198	34	12	,	,	PUNCT
ajst-20198	34	13	which	which	PRON
ajst-20198	34	14	can	can	AUX
ajst-20198	34	15	dynamically	dynamically	ADV
ajst-20198	34	16	adjust	adjust	VERB
ajst-20198	34	17	the	the	DET
ajst-20198	34	18	search	search	NOUN
ajst-20198	34	19	direction	direction	NOUN
ajst-20198	34	20	and	and	CCONJ
ajst-20198	34	21	step	step	NOUN
ajst-20198	34	22	length	length	NOUN
ajst-20198	34	23	according	accord	VERB
ajst-20198	34	24	to	to	ADP
ajst-20198	34	25	the	the	DET
ajst-20198	34	26	progress	progress	NOUN
ajst-20198	34	27	of	of	ADP
ajst-20198	34	28	the	the	DET
ajst-20198	34	29	search	search	NOUN
ajst-20198	34	30	.	.	PUNCT
ajst-20198	35	1	when	when	SCONJ
ajst-20198	35	2	the	the	DET
ajst-20198	35	3	algorithm	algorithm	NOUN
ajst-20198	35	4	falls	fall	VERB
ajst-20198	35	5	into	into	ADP
ajst-20198	35	6	a	a	DET
ajst-20198	35	7	local	local	ADJ
ajst-20198	35	8	optimum	optimum	NOUN
ajst-20198	35	9	,	,	PUNCT
ajst-20198	35	10	the	the	DET
ajst-20198	35	11	chaos	chaos	NOUN
ajst-20198	35	12	search	search	NOUN
ajst-20198	35	13	strategy	strategy	NOUN
ajst-20198	35	14	can	can	AUX
ajst-20198	35	15	guide	guide	VERB
ajst-20198	35	16	the	the	DET
ajst-20198	35	17	crabs	crab	NOUN
ajst-20198	35	18	to	to	PART
ajst-20198	35	19	jump	jump	VERB
ajst-20198	35	20	out	out	ADP
ajst-20198	35	21	of	of	ADP
ajst-20198	35	22	the	the	DET
ajst-20198	35	23	current	current	ADJ
ajst-20198	35	24	area	area	NOUN
ajst-20198	35	25	and	and	CCONJ
ajst-20198	35	26	enter	enter	VERB
ajst-20198	35	27	a	a	DET
ajst-20198	35	28	new	new	ADJ
ajst-20198	35	29	search	search	NOUN
ajst-20198	35	30	space	space	NOUN
ajst-20198	35	31	,	,	PUNCT
ajst-20198	35	32	thus	thus	ADV
ajst-20198	35	33	avoiding	avoid	VERB
ajst-20198	35	34	premature	premature	ADJ
ajst-20198	35	35	convergence	convergence	NOUN
ajst-20198	35	36	.	.	PUNCT
ajst-20198	36	1	to	to	PART
ajst-20198	36	2	fully	fully	ADV
ajst-20198	36	3	verify	verify	VERB
ajst-20198	36	4	the	the	DET
ajst-20198	36	5	effectiveness	effectiveness	NOUN
ajst-20198	36	6	of	of	ADP
ajst-20198	36	7	the	the	DET
ajst-20198	36	8	two	two	NUM
ajst-20198	36	9	algorithms	algorithm	NOUN
ajst-20198	36	10	designed	design	VERB
ajst-20198	36	11	in	in	ADP
ajst-20198	36	12	this	this	DET
ajst-20198	36	13	paper	paper	NOUN
ajst-20198	36	14	the	the	DET
ajst-20198	36	15	crab	crab	NOUN
ajst-20198	36	16	algorithm	algorithm	NOUN
ajst-20198	36	17	based	base	VERB
ajst-20198	36	18	on	on	ADP
ajst-20198	36	19	chaos	chaos	NOUN
ajst-20198	36	20	search	search	NOUN
ajst-20198	36	21	strategy	strategy	NOUN
ajst-20198	36	22	(	(	PUNCT
ajst-20198	36	23	referred	refer	VERB
ajst-20198	36	24	to	to	ADP
ajst-20198	36	25	as	as	ADP
ajst-20198	36	26	hcoa	hcoa	NOUN
ajst-20198	36	27	-	-	PUNCT
ajst-20198	36	28	cs	cs	NOUN
ajst-20198	36	29	)	)	PUNCT
ajst-20198	36	30	and	and	CCONJ
ajst-20198	36	31	its	its	PRON
ajst-20198	36	32	original	original	ADJ
ajst-20198	36	33	algorithm	algorithm	NOUN
ajst-20198	36	34	hcoa	hcoa	NOUN
ajst-20198	36	35	,	,	PUNCT
ajst-20198	36	36	this	this	DET
ajst-20198	36	37	paper	paper	NOUN
ajst-20198	36	38	conducts	conduct	VERB
ajst-20198	36	39	a	a	DET
ajst-20198	36	40	series	series	NOUN
ajst-20198	36	41	of	of	ADP
ajst-20198	36	42	detailed	detailed	ADJ
ajst-20198	36	43	numerical	numerical	ADJ
ajst-20198	36	44	example	example	NOUN
ajst-20198	36	45	tests	test	NOUN
ajst-20198	36	46	.	.	PUNCT
ajst-20198	37	1	these	these	DET
ajst-20198	37	2	tests	test	NOUN
ajst-20198	37	3	cover	cover	VERB
ajst-20198	37	4	multiple	multiple	ADJ
ajst-20198	37	5	115	115	NUM
ajst-20198	37	6	commonly	commonly	ADV
ajst-20198	37	7	used	use	VERB
ajst-20198	37	8	cec	cec	PROPN
ajst-20198	37	9	(	(	PUNCT
ajst-20198	37	10	congress	congress	PROPN
ajst-20198	37	11	on	on	ADP
ajst-20198	37	12	evolutionary	evolutionary	ADJ
ajst-20198	37	13	computation	computation	NOUN
ajst-20198	37	14	)	)	PUNCT
ajst-20198	37	15	test	test	NOUN
ajst-20198	37	16	functions	function	NOUN
ajst-20198	37	17	to	to	PART
ajst-20198	37	18	ensure	ensure	VERB
ajst-20198	37	19	the	the	DET
ajst-20198	37	20	universality	universality	NOUN
ajst-20198	37	21	and	and	CCONJ
ajst-20198	37	22	robustness	robustness	NOUN
ajst-20198	37	23	of	of	ADP
ajst-20198	37	24	the	the	DET
ajst-20198	37	25	algorithms	algorithm	NOUN
ajst-20198	37	26	.	.	PUNCT
ajst-20198	38	1	and	and	CCONJ
ajst-20198	38	2	we	we	PRON
ajst-20198	38	3	use	use	VERB
ajst-20198	38	4	the	the	DET
ajst-20198	38	5	improved	improve	VERB
ajst-20198	38	6	hcoa	hcoa	NOUN
ajst-20198	38	7	-	-	PUNCT
ajst-20198	38	8	cs	cs	ADJ
ajst-20198	38	9	algorithm	algorithm	NOUN
ajst-20198	38	10	to	to	PART
ajst-20198	38	11	solve	solve	VERB
ajst-20198	38	12	the	the	DET
ajst-20198	38	13	problem	problem	NOUN
ajst-20198	38	14	of	of	ADP
ajst-20198	38	15	parameter	parameter	NOUN
ajst-20198	38	16	identification	identification	NOUN
ajst-20198	38	17	of	of	ADP
ajst-20198	38	18	fresnel	fresnel	ADJ
ajst-20198	38	19	refractive	refractive	ADJ
ajst-20198	38	20	index	index	NOUN
ajst-20198	38	21	.	.	PUNCT
ajst-20198	39	1	the	the	DET
ajst-20198	39	2	structure	structure	NOUN
ajst-20198	39	3	of	of	ADP
ajst-20198	39	4	this	this	DET
ajst-20198	39	5	paper	paper	NOUN
ajst-20198	39	6	is	be	AUX
ajst-20198	39	7	as	as	SCONJ
ajst-20198	39	8	follows	follow	VERB
ajst-20198	39	9	:	:	PUNCT
ajst-20198	39	10	chapter	chapter	NOUN
ajst-20198	39	11	1	1	NUM
ajst-20198	39	12	introduces	introduce	VERB
ajst-20198	39	13	the	the	DET
ajst-20198	39	14	background	background	NOUN
ajst-20198	39	15	;	;	PUNCT
ajst-20198	39	16	chapter	chapter	NOUN
ajst-20198	39	17	2	2	NUM
ajst-20198	39	18	introduces	introduce	VERB
ajst-20198	39	19	the	the	DET
ajst-20198	39	20	algorithm	algorithm	NOUN
ajst-20198	39	21	flow	flow	NOUN
ajst-20198	39	22	of	of	ADP
ajst-20198	39	23	the	the	DET
ajst-20198	39	24	crab	crab	NOUN
ajst-20198	39	25	algorithm	algorithm	NOUN
ajst-20198	39	26	,	,	PUNCT
ajst-20198	39	27	incorporates	incorporate	VERB
ajst-20198	39	28	the	the	DET
ajst-20198	39	29	chaos	chaos	NOUN
ajst-20198	39	30	search	search	NOUN
ajst-20198	39	31	strategy	strategy	NOUN
ajst-20198	39	32	into	into	ADP
ajst-20198	39	33	the	the	DET
ajst-20198	39	34	crab	crab	NOUN
ajst-20198	39	35	algorithm	algorithm	NOUN
ajst-20198	39	36	,	,	PUNCT
ajst-20198	39	37	and	and	CCONJ
ajst-20198	39	38	compares	compare	VERB
ajst-20198	39	39	the	the	DET
ajst-20198	39	40	algorithms	algorithm	NOUN
ajst-20198	39	41	;	;	PUNCT
ajst-20198	39	42	chapter	chapter	NOUN
ajst-20198	39	43	3	3	NUM
ajst-20198	39	44	applies	apply	VERB
ajst-20198	39	45	the	the	DET
ajst-20198	39	46	improved	improved	ADJ
ajst-20198	39	47	crab	crab	NOUN
ajst-20198	39	48	algorithm	algorithm	NOUN
ajst-20198	39	49	to	to	ADP
ajst-20198	39	50	the	the	DET
ajst-20198	39	51	problem	problem	NOUN
ajst-20198	39	52	of	of	ADP
ajst-20198	39	53	parameter	parameter	NOUN
ajst-20198	39	54	identification	identification	NOUN
ajst-20198	39	55	of	of	ADP
ajst-20198	39	56	fresnel	fresnel	PROPN
ajst-20198	39	57	refractive	refractive	ADJ
ajst-20198	39	58	index	index	NOUN
ajst-20198	39	59	;	;	PUNCT
ajst-20198	39	60	chapter	chapter	NOUN
ajst-20198	39	61	4	4	NUM
ajst-20198	39	62	summarizes	summarize	NOUN
ajst-20198	39	63	and	and	CCONJ
ajst-20198	39	64	generalizes	generalize	VERB
ajst-20198	39	65	the	the	DET
ajst-20198	39	66	paper	paper	NOUN
ajst-20198	39	67	.	.	PUNCT
ajst-20198	40	1	2	2	X
ajst-20198	40	2	.	.	NUM
ajst-20198	40	3	improved	improve	VERB
ajst-20198	40	4	crab	crab	NOUN
ajst-20198	40	5	algorithm	algorithm	NOUN
ajst-20198	40	6	based	base	VERB
ajst-20198	40	7	on	on	ADP
ajst-20198	40	8	chaos	chaos	NOUN
ajst-20198	40	9	theory	theory	NOUN
ajst-20198	40	10	2.1	2.1	NUM
ajst-20198	40	11	.	.	PUNCT
ajst-20198	41	1	crab	crab	NOUN
ajst-20198	41	2	optimization	optimization	NOUN
ajst-20198	41	3	algorithm	algorithm	NOUN
ajst-20198	41	4	the	the	DET
ajst-20198	41	5	crab	crab	NOUN
ajst-20198	41	6	optimization	optimization	NOUN
ajst-20198	41	7	algorithm	algorithm	NOUN
ajst-20198	41	8	simulates	simulate	VERB
ajst-20198	41	9	the	the	DET
ajst-20198	41	10	method	method	NOUN
ajst-20198	41	11	of	of	ADP
ajst-20198	41	12	crabs	crab	NOUN
ajst-20198	41	13	in	in	ADP
ajst-20198	41	14	reality	reality	NOUN
ajst-20198	41	15	to	to	PART
ajst-20198	41	16	find	find	VERB
ajst-20198	41	17	shells	shell	NOUN
ajst-20198	41	18	as	as	ADP
ajst-20198	41	19	their	their	PRON
ajst-20198	41	20	homes	home	NOUN
ajst-20198	41	21	.	.	PUNCT
ajst-20198	42	1	the	the	DET
ajst-20198	42	2	alpha	alpha	NOUN
ajst-20198	42	3	crab	crab	NOUN
ajst-20198	42	4	,	,	PUNCT
ajst-20198	42	5	with	with	ADP
ajst-20198	42	6	more	more	ADV
ajst-20198	42	7	valuable	valuable	ADJ
ajst-20198	42	8	experience	experience	NOUN
ajst-20198	42	9	,	,	PUNCT
ajst-20198	42	10	allows	allow	VERB
ajst-20198	42	11	other	other	ADJ
ajst-20198	42	12	crabs	crab	NOUN
ajst-20198	42	13	to	to	PART
ajst-20198	42	14	find	find	VERB
ajst-20198	42	15	more	more	ADV
ajst-20198	42	16	suitable	suitable	ADJ
ajst-20198	42	17	homes	home	NOUN
ajst-20198	42	18	near	near	ADP
ajst-20198	42	19	the	the	DET
ajst-20198	42	20	alpha	alpha	NOUN
ajst-20198	42	21	crab	crab	NOUN
ajst-20198	42	22	.	.	PUNCT
ajst-20198	43	1	however	however	ADV
ajst-20198	43	2	,	,	PUNCT
ajst-20198	43	3	when	when	SCONJ
ajst-20198	43	4	it	it	PRON
ajst-20198	43	5	does	do	AUX
ajst-20198	43	6	n't	not	PART
ajst-20198	43	7	find	find	VERB
ajst-20198	43	8	a	a	DET
ajst-20198	43	9	more	more	ADV
ajst-20198	43	10	suitable	suitable	ADJ
ajst-20198	43	11	home	home	NOUN
ajst-20198	43	12	,	,	PUNCT
ajst-20198	43	13	it	it	PRON
ajst-20198	43	14	will	will	AUX
ajst-20198	43	15	return	return	VERB
ajst-20198	43	16	to	to	ADP
ajst-20198	43	17	its	its	PRON
ajst-20198	43	18	original	original	ADJ
ajst-20198	43	19	home	home	NOUN
ajst-20198	43	20	.	.	PUNCT
ajst-20198	44	1	for	for	ADP
ajst-20198	44	2	crabs	crab	NOUN
ajst-20198	44	3	,	,	PUNCT
ajst-20198	44	4	a	a	DET
ajst-20198	44	5	home	home	NOUN
ajst-20198	44	6	is	be	AUX
ajst-20198	44	7	the	the	DET
ajst-20198	44	8	foundation	foundation	NOUN
ajst-20198	44	9	of	of	ADP
ajst-20198	44	10	their	their	PRON
ajst-20198	44	11	survival	survival	NOUN
ajst-20198	44	12	.	.	PUNCT
ajst-20198	45	1	without	without	ADP
ajst-20198	45	2	a	a	DET
ajst-20198	45	3	home	home	NOUN
ajst-20198	45	4	,	,	PUNCT
ajst-20198	45	5	there	there	PRON
ajst-20198	45	6	is	be	VERB
ajst-20198	45	7	nothing	nothing	PRON
ajst-20198	45	8	to	to	PART
ajst-20198	45	9	provide	provide	VERB
ajst-20198	45	10	protection	protection	NOUN
ajst-20198	45	11	and	and	CCONJ
ajst-20198	45	12	shelter	shelter	NOUN
ajst-20198	45	13	,	,	PUNCT
ajst-20198	45	14	and	and	CCONJ
ajst-20198	45	15	they	they	PRON
ajst-20198	45	16	will	will	AUX
ajst-20198	45	17	be	be	AUX
ajst-20198	45	18	exposed	expose	VERB
ajst-20198	45	19	to	to	ADP
ajst-20198	45	20	predators	predator	NOUN
ajst-20198	45	21	.	.	PUNCT
ajst-20198	46	1	moreover	moreover	ADV
ajst-20198	46	2	,	,	PUNCT
ajst-20198	46	3	the	the	DET
ajst-20198	46	4	shell	shell	NOUN
ajst-20198	46	5	can	can	AUX
ajst-20198	46	6	protect	protect	VERB
ajst-20198	46	7	the	the	DET
ajst-20198	46	8	crab	crab	NOUN
ajst-20198	46	9	's	's	PART
ajst-20198	46	10	abdomen	abdomen	NOUN
ajst-20198	46	11	,	,	PUNCT
ajst-20198	46	12	maintaining	maintain	VERB
ajst-20198	46	13	body	body	NOUN
ajst-20198	46	14	humidity	humidity	NOUN
ajst-20198	46	15	and	and	CCONJ
ajst-20198	46	16	temperature	temperature	NOUN
ajst-20198	46	17	.	.	PUNCT
ajst-20198	47	1	without	without	ADP
ajst-20198	47	2	a	a	DET
ajst-20198	47	3	shell	shell	NOUN
ajst-20198	47	4	,	,	PUNCT
ajst-20198	47	5	crabs	crab	NOUN
ajst-20198	47	6	will	will	AUX
ajst-20198	47	7	die	die	VERB
ajst-20198	47	8	due	due	ADP
ajst-20198	47	9	to	to	ADP
ajst-20198	47	10	environmental	environmental	ADJ
ajst-20198	47	11	factors	factor	NOUN
ajst-20198	47	12	(	(	PUNCT
ajst-20198	47	13	wind	wind	NOUN
ajst-20198	47	14	,	,	PUNCT
ajst-20198	47	15	sun	sun	NOUN
ajst-20198	47	16	,	,	PUNCT
ajst-20198	47	17	dryness	dryness	NOUN
ajst-20198	47	18	,	,	PUNCT
ajst-20198	47	19	cold	cold	ADJ
ajst-20198	47	20	,	,	PUNCT
ajst-20198	47	21	etc	etc	X
ajst-20198	47	22	.	.	X
ajst-20198	47	23	)	)	PUNCT
ajst-20198	47	24	.	.	PUNCT
ajst-20198	48	1	the	the	DET
ajst-20198	48	2	crab	crab	NOUN
ajst-20198	48	3	optimization	optimization	NOUN
ajst-20198	48	4	algorithm	algorithm	NOUN
ajst-20198	48	5	simulates	simulate	VERB
ajst-20198	48	6	the	the	DET
ajst-20198	48	7	process	process	NOUN
ajst-20198	48	8	of	of	ADP
ajst-20198	48	9	crabs	crab	NOUN
ajst-20198	48	10	constantly	constantly	ADV
ajst-20198	48	11	searching	search	VERB
ajst-20198	48	12	for	for	ADP
ajst-20198	48	13	a	a	DET
ajst-20198	48	14	more	more	ADV
ajst-20198	48	15	suitable	suitable	ADJ
ajst-20198	48	16	home	home	NOUN
ajst-20198	48	17	for	for	ADP
ajst-20198	48	18	their	their	PRON
ajst-20198	48	19	survival	survival	NOUN
ajst-20198	48	20	.	.	PUNCT
ajst-20198	49	1	in	in	ADP
ajst-20198	49	2	this	this	DET
ajst-20198	49	3	algorithm	algorithm	NOUN
ajst-20198	49	4	,	,	PUNCT
ajst-20198	49	5	there	there	PRON
ajst-20198	49	6	are	be	VERB
ajst-20198	49	7	two	two	NUM
ajst-20198	49	8	types	type	NOUN
ajst-20198	49	9	of	of	ADP
ajst-20198	49	10	crabs	crab	NOUN
ajst-20198	49	11	:	:	PUNCT
ajst-20198	49	12	ordinary	ordinary	ADJ
ajst-20198	49	13	crabs	crab	NOUN
ajst-20198	49	14	and	and	CCONJ
ajst-20198	49	15	alpha	alpha	NOUN
ajst-20198	49	16	crabs	crab	NOUN
ajst-20198	49	17	.	.	PUNCT
ajst-20198	50	1	in	in	ADP
ajst-20198	50	2	each	each	DET
ajst-20198	50	3	iteration	iteration	NOUN
ajst-20198	50	4	,	,	PUNCT
ajst-20198	50	5	the	the	DET
ajst-20198	50	6	alpha	alpha	NOUN
ajst-20198	50	7	crab	crab	NOUN
ajst-20198	50	8	is	be	AUX
ajst-20198	50	9	selected	select	VERB
ajst-20198	50	10	through	through	ADP
ajst-20198	50	11	the	the	DET
ajst-20198	50	12	optimal	optimal	ADJ
ajst-20198	50	13	search	search	NOUN
ajst-20198	50	14	algorithm	algorithm	NOUN
ajst-20198	50	15	and	and	CCONJ
ajst-20198	50	16	is	be	AUX
ajst-20198	50	17	used	use	VERB
ajst-20198	50	18	as	as	ADP
ajst-20198	50	19	a	a	DET
ajst-20198	50	20	temporary	temporary	ADJ
ajst-20198	50	21	optimal	optimal	ADJ
ajst-20198	50	22	solution	solution	NOUN
ajst-20198	50	23	.	.	PUNCT
ajst-20198	51	1	crabs	crab	NOUN
ajst-20198	51	2	wander	wander	VERB
ajst-20198	51	3	around	around	ADP
ajst-20198	51	4	the	the	DET
ajst-20198	51	5	selected	select	VERB
ajst-20198	51	6	alpha	alpha	NOUN
ajst-20198	51	7	crab	crab	NOUN
ajst-20198	51	8	,	,	PUNCT
ajst-20198	51	9	and	and	CCONJ
ajst-20198	51	10	in	in	ADP
ajst-20198	51	11	order	order	NOUN
ajst-20198	51	12	to	to	PART
ajst-20198	51	13	better	well	ADV
ajst-20198	51	14	find	find	VERB
ajst-20198	51	15	suitable	suitable	ADJ
ajst-20198	51	16	homes	home	NOUN
ajst-20198	51	17	for	for	ADP
ajst-20198	51	18	themselves	themselves	PRON
ajst-20198	51	19	,	,	PUNCT
ajst-20198	51	20	they	they	PRON
ajst-20198	51	21	search	search	VERB
ajst-20198	51	22	near	near	ADP
ajst-20198	51	23	the	the	DET
ajst-20198	51	24	five	five	NUM
ajst-20198	51	25	houses	house	NOUN
ajst-20198	51	26	recently	recently	ADV
ajst-20198	51	27	left	leave	VERB
ajst-20198	51	28	by	by	ADP
ajst-20198	51	29	the	the	DET
ajst-20198	51	30	alpha	alpha	NOUN
ajst-20198	51	31	crab	crab	NOUN
ajst-20198	51	32	through	through	ADP
ajst-20198	51	33	the	the	DET
ajst-20198	51	34	historical	historical	ADJ
ajst-20198	51	35	path	path	NOUN
ajst-20198	51	36	search	search	NOUN
ajst-20198	51	37	algorithm	algorithm	NOUN
ajst-20198	51	38	,	,	PUNCT
ajst-20198	51	39	updating	update	VERB
ajst-20198	51	40	the	the	DET
ajst-20198	51	41	position	position	NOUN
ajst-20198	51	42	of	of	ADP
ajst-20198	51	43	the	the	DET
ajst-20198	51	44	crabs	crab	NOUN
ajst-20198	51	45	.	.	PUNCT
ajst-20198	52	1	2.2	2.2	NUM
ajst-20198	52	2	.	.	PUNCT
ajst-20198	53	1	main	main	ADJ
ajst-20198	53	2	steps	step	NOUN
ajst-20198	53	3	of	of	ADP
ajst-20198	53	4	hcoa	hcoa	NOUN
ajst-20198	53	5	the	the	DET
ajst-20198	53	6	specific	specific	ADJ
ajst-20198	53	7	steps	step	NOUN
ajst-20198	53	8	of	of	ADP
ajst-20198	53	9	the	the	DET
ajst-20198	53	10	crab	crab	NOUN
ajst-20198	53	11	optimization	optimization	NOUN
ajst-20198	53	12	algorithm	algorithm	NOUN
ajst-20198	53	13	are	be	AUX
ajst-20198	53	14	as	as	SCONJ
ajst-20198	53	15	follows	follow	VERB
ajst-20198	53	16	:	:	PUNCT
ajst-20198	53	17	(	(	PUNCT
ajst-20198	53	18	1	1	X
ajst-20198	53	19	)	)	PUNCT
ajst-20198	53	20	initialize	initialize	VERB
ajst-20198	53	21	data	datum	NOUN
ajst-20198	53	22	.	.	PUNCT
ajst-20198	54	1	set	set	VERB
ajst-20198	54	2	the	the	DET
ajst-20198	54	3	number	number	NOUN
ajst-20198	54	4	of	of	ADP
ajst-20198	54	5	populations	population	NOUN
ajst-20198	54	6	,	,	PUNCT
ajst-20198	54	7	dimensions	dimension	NOUN
ajst-20198	54	8	,	,	PUNCT
ajst-20198	54	9	iteration	iteration	NOUN
ajst-20198	54	10	times	time	NOUN
ajst-20198	54	11	,	,	PUNCT
ajst-20198	54	12	and	and	CCONJ
ajst-20198	54	13	other	other	ADJ
ajst-20198	54	14	parameters	parameter	NOUN
ajst-20198	54	15	,	,	PUNCT
ajst-20198	54	16	and	and	CCONJ
ajst-20198	54	17	initialize	initialize	VERB
ajst-20198	54	18	the	the	DET
ajst-20198	54	19	positions	position	NOUN
ajst-20198	54	20	of	of	ADP
ajst-20198	54	21	crabs	crab	NOUN
ajst-20198	54	22	within	within	ADP
ajst-20198	54	23	the	the	DET
ajst-20198	54	24	limit	limit	NOUN
ajst-20198	54	25	range	range	NOUN
ajst-20198	54	26	,	,	PUNCT
ajst-20198	54	27	and	and	CCONJ
ajst-20198	54	28	calculate	calculate	VERB
ajst-20198	54	29	the	the	DET
ajst-20198	54	30	fitness	fitness	NOUN
ajst-20198	54	31	.	.	PUNCT
ajst-20198	55	1	record	record	VERB
ajst-20198	55	2	the	the	DET
ajst-20198	55	3	historical	historical	ADJ
ajst-20198	55	4	position	position	NOUN
ajst-20198	55	5	and	and	CCONJ
ajst-20198	55	6	fitness	fitness	NOUN
ajst-20198	55	7	value	value	NOUN
ajst-20198	55	8	of	of	ADP
ajst-20198	55	9	the	the	DET
ajst-20198	55	10	global	global	ADJ
ajst-20198	55	11	best	good	ADJ
ajst-20198	55	12	house	house	NOUN
ajst-20198	55	13	(	(	PUNCT
ajst-20198	55	14	shell	shell	PROPN
ajst-20198	55	15	)	)	PUNCT
ajst-20198	55	16	.	.	PUNCT
ajst-20198	56	1	(	(	PUNCT
ajst-20198	56	2	2	2	X
ajst-20198	56	3	)	)	PUNCT
ajst-20198	56	4	determine	determine	VERB
ajst-20198	56	5	the	the	DET
ajst-20198	56	6	alpha	alpha	NOUN
ajst-20198	56	7	crab	crab	NOUN
ajst-20198	56	8	.	.	PUNCT
ajst-20198	57	1	select	select	VERB
ajst-20198	57	2	the	the	DET
ajst-20198	57	3	crab	crab	NOUN
ajst-20198	57	4	with	with	ADP
ajst-20198	57	5	the	the	DET
ajst-20198	57	6	best	good	ADJ
ajst-20198	57	7	fitness	fitness	NOUN
ajst-20198	57	8	from	from	ADP
ajst-20198	57	9	the	the	DET
ajst-20198	57	10	initialized	initialize	VERB
ajst-20198	57	11	crab	crab	NOUN
ajst-20198	57	12	population	population	NOUN
ajst-20198	57	13	as	as	ADP
ajst-20198	57	14	the	the	DET
ajst-20198	57	15	alpha	alpha	NOUN
ajst-20198	57	16	crab	crab	NOUN
ajst-20198	57	17	.	.	PUNCT
ajst-20198	58	1	(	(	PUNCT
ajst-20198	58	2	3	3	X
ajst-20198	58	3	)	)	PUNCT
ajst-20198	58	4	use	use	VERB
ajst-20198	58	5	the	the	DET
ajst-20198	58	6	optimal	optimal	ADJ
ajst-20198	58	7	search	search	NOUN
ajst-20198	58	8	algorithm	algorithm	NOUN
ajst-20198	58	9	to	to	PART
ajst-20198	58	10	select	select	VERB
ajst-20198	58	11	an	an	DET
ajst-20198	58	12	alpha	alpha	NOUN
ajst-20198	58	13	crab	crab	NOUN
ajst-20198	58	14	for	for	ADP
ajst-20198	58	15	each	each	DET
ajst-20198	58	16	crab	crab	NOUN
ajst-20198	58	17	,	,	PUNCT
ajst-20198	58	18	and	and	CCONJ
ajst-20198	58	19	update	update	VERB
ajst-20198	58	20	the	the	DET
ajst-20198	58	21	parameter	parameter	NOUN
ajst-20198	58	22	values	value	NOUN
ajst-20198	58	23	according	accord	VERB
ajst-20198	58	24	to	to	ADP
ajst-20198	58	25	the	the	DET
ajst-20198	58	26	position	position	NOUN
ajst-20198	58	27	of	of	ADP
ajst-20198	58	28	the	the	DET
ajst-20198	58	29	alpha	alpha	NOUN
ajst-20198	58	30	crab	crab	NOUN
ajst-20198	58	31	.	.	PUNCT
ajst-20198	59	1	crabs	crab	NOUN
ajst-20198	59	2	wander	wander	VERB
ajst-20198	59	3	around	around	ADP
ajst-20198	59	4	the	the	DET
ajst-20198	59	5	selected	select	VERB
ajst-20198	59	6	alpha	alpha	NOUN
ajst-20198	59	7	crab	crab	NOUN
ajst-20198	59	8	,	,	PUNCT
ajst-20198	59	9	and	and	CCONJ
ajst-20198	59	10	in	in	ADP
ajst-20198	59	11	order	order	NOUN
ajst-20198	59	12	to	to	PART
ajst-20198	59	13	better	well	ADV
ajst-20198	59	14	find	find	VERB
ajst-20198	59	15	suitable	suitable	ADJ
ajst-20198	59	16	homes	home	NOUN
ajst-20198	59	17	for	for	ADP
ajst-20198	59	18	themselves	themselves	PRON
ajst-20198	59	19	,	,	PUNCT
ajst-20198	59	20	they	they	PRON
ajst-20198	59	21	search	search	VERB
ajst-20198	59	22	near	near	ADP
ajst-20198	59	23	the	the	DET
ajst-20198	59	24	five	five	NUM
ajst-20198	59	25	houses	house	NOUN
ajst-20198	59	26	recently	recently	ADV
ajst-20198	59	27	left	leave	VERB
ajst-20198	59	28	by	by	ADP
ajst-20198	59	29	the	the	DET
ajst-20198	59	30	alpha	alpha	NOUN
ajst-20198	59	31	crab	crab	NOUN
ajst-20198	59	32	through	through	ADP
ajst-20198	59	33	the	the	DET
ajst-20198	59	34	historical	historical	ADJ
ajst-20198	59	35	path	path	NOUN
ajst-20198	59	36	search	search	NOUN
ajst-20198	59	37	algorithm	algorithm	NOUN
ajst-20198	59	38	,	,	PUNCT
ajst-20198	59	39	updating	update	VERB
ajst-20198	59	40	the	the	DET
ajst-20198	59	41	position	position	NOUN
ajst-20198	59	42	of	of	ADP
ajst-20198	59	43	the	the	DET
ajst-20198	59	44	crabs	crab	NOUN
ajst-20198	59	45	.	.	PUNCT
ajst-20198	60	1	(	(	PUNCT
ajst-20198	60	2	4	4	X
ajst-20198	60	3	)	)	PUNCT
ajst-20198	60	4	calculate	calculate	VERB
ajst-20198	60	5	the	the	DET
ajst-20198	60	6	fitness	fitness	NOUN
ajst-20198	60	7	values	value	NOUN
ajst-20198	60	8	of	of	ADP
ajst-20198	60	9	crabs	crab	NOUN
ajst-20198	60	10	and	and	CCONJ
ajst-20198	60	11	alpha	alpha	NOUN
ajst-20198	60	12	crabs	crab	NOUN
ajst-20198	60	13	,	,	PUNCT
ajst-20198	60	14	and	and	CCONJ
ajst-20198	60	15	update	update	VERB
ajst-20198	60	16	the	the	DET
ajst-20198	60	17	position	position	NOUN
ajst-20198	60	18	of	of	ADP
ajst-20198	60	19	the	the	DET
ajst-20198	60	20	alpha	alpha	NOUN
ajst-20198	60	21	crab	crab	NOUN
ajst-20198	60	22	according	accord	VERB
ajst-20198	60	23	to	to	ADP
ajst-20198	60	24	the	the	DET
ajst-20198	60	25	position	position	NOUN
ajst-20198	60	26	and	and	CCONJ
ajst-20198	60	27	fitness	fitness	NOUN
ajst-20198	60	28	of	of	ADP
ajst-20198	60	29	the	the	DET
ajst-20198	60	30	crabs	crab	NOUN
ajst-20198	60	31	.	.	PUNCT
ajst-20198	61	1	the	the	DET
ajst-20198	61	2	best	good	ADJ
ajst-20198	61	3	position	position	NOUN
ajst-20198	61	4	is	be	AUX
ajst-20198	61	5	the	the	DET
ajst-20198	61	6	new	new	ADJ
ajst-20198	61	7	alpha	alpha	NOUN
ajst-20198	61	8	crab	crab	NOUN
ajst-20198	61	9	's	's	PART
ajst-20198	61	10	position	position	NOUN
ajst-20198	61	11	.	.	PUNCT
ajst-20198	62	1	(	(	PUNCT
ajst-20198	62	2	5	5	X
ajst-20198	62	3	)	)	PUNCT
ajst-20198	62	4	determine	determine	VERB
ajst-20198	62	5	whether	whether	SCONJ
ajst-20198	62	6	the	the	DET
ajst-20198	62	7	algorithm	algorithm	NOUN
ajst-20198	62	8	's	's	PART
ajst-20198	62	9	stopping	stopping	NOUN
ajst-20198	62	10	conditions	condition	NOUN
ajst-20198	62	11	are	be	AUX
ajst-20198	62	12	met	meet	VERB
ajst-20198	62	13	.	.	PUNCT
ajst-20198	63	1	if	if	SCONJ
ajst-20198	63	2	so	so	ADV
ajst-20198	63	3	,	,	PUNCT
ajst-20198	63	4	output	output	VERB
ajst-20198	63	5	the	the	DET
ajst-20198	63	6	results	result	NOUN
ajst-20198	63	7	,	,	PUNCT
ajst-20198	63	8	return	return	VERB
ajst-20198	63	9	the	the	DET
ajst-20198	63	10	position	position	NOUN
ajst-20198	63	11	and	and	CCONJ
ajst-20198	63	12	fitness	fitness	NOUN
ajst-20198	63	13	of	of	ADP
ajst-20198	63	14	the	the	DET
ajst-20198	63	15	alpha	alpha	NOUN
ajst-20198	63	16	crab	crab	NOUN
ajst-20198	63	17	,	,	PUNCT
ajst-20198	63	18	and	and	CCONJ
ajst-20198	63	19	end	end	VERB
ajst-20198	63	20	the	the	DET
ajst-20198	63	21	iteration	iteration	NOUN
ajst-20198	63	22	;	;	PUNCT
ajst-20198	63	23	otherwise	otherwise	ADV
ajst-20198	63	24	,	,	PUNCT
ajst-20198	63	25	go	go	VERB
ajst-20198	63	26	back	back	ADV
ajst-20198	63	27	to	to	ADP
ajst-20198	63	28	step	step	NOUN
ajst-20198	63	29	(	(	PUNCT
ajst-20198	63	30	3	3	NUM
ajst-20198	63	31	)	)	PUNCT
ajst-20198	63	32	.	.	PUNCT
ajst-20198	64	1	2.3	2.3	NUM
ajst-20198	64	2	.	.	X
ajst-20198	65	1	optimal	optimal	ADJ
ajst-20198	65	2	search	search	NOUN
ajst-20198	65	3	strategy	strategy	NOUN
ajst-20198	65	4	and	and	CCONJ
ajst-20198	65	5	historical	historical	ADJ
ajst-20198	65	6	path	path	NOUN
ajst-20198	65	7	search	search	NOUN
ajst-20198	65	8	strategy	strategy	NOUN
ajst-20198	65	9	the	the	DET
ajst-20198	65	10	optimal	optimal	ADJ
ajst-20198	65	11	search	search	NOUN
ajst-20198	65	12	strategy	strategy	NOUN
ajst-20198	65	13	is	be	AUX
ajst-20198	65	14	a	a	DET
ajst-20198	65	15	mechanism	mechanism	NOUN
ajst-20198	65	16	in	in	ADP
ajst-20198	65	17	the	the	DET
ajst-20198	65	18	crab	crab	NOUN
ajst-20198	65	19	optimization	optimization	NOUN
ajst-20198	65	20	algorithm	algorithm	NOUN
ajst-20198	65	21	used	use	VERB
ajst-20198	65	22	to	to	PART
ajst-20198	65	23	guide	guide	VERB
ajst-20198	65	24	individual	individual	ADJ
ajst-20198	65	25	crabs	crab	NOUN
ajst-20198	65	26	to	to	PART
ajst-20198	65	27	search	search	VERB
ajst-20198	65	28	towards	towards	ADP
ajst-20198	65	29	the	the	DET
ajst-20198	65	30	currently	currently	ADV
ajst-20198	65	31	found	find	VERB
ajst-20198	65	32	optimal	optimal	ADJ
ajst-20198	65	33	solution	solution	NOUN
ajst-20198	65	34	.	.	PUNCT
ajst-20198	66	1	in	in	ADP
ajst-20198	66	2	each	each	DET
ajst-20198	66	3	iteration	iteration	NOUN
ajst-20198	66	4	of	of	ADP
ajst-20198	66	5	the	the	DET
ajst-20198	66	6	algorithm	algorithm	NOUN
ajst-20198	66	7	,	,	PUNCT
ajst-20198	66	8	each	each	DET
ajst-20198	66	9	crab	crab	NOUN
ajst-20198	66	10	individual	individual	NOUN
ajst-20198	66	11	updates	update	VERB
ajst-20198	66	12	its	its	PRON
ajst-20198	66	13	position	position	NOUN
ajst-20198	66	14	and	and	CCONJ
ajst-20198	66	15	search	search	NOUN
ajst-20198	66	16	direction	direction	NOUN
ajst-20198	66	17	based	base	VERB
ajst-20198	66	18	on	on	ADP
ajst-20198	66	19	the	the	DET
ajst-20198	66	20	information	information	NOUN
ajst-20198	66	21	of	of	ADP
ajst-20198	66	22	the	the	DET
ajst-20198	66	23	current	current	ADJ
ajst-20198	66	24	optimal	optimal	ADJ
ajst-20198	66	25	solution	solution	NOUN
ajst-20198	66	26	.	.	PUNCT
ajst-20198	67	1	the	the	DET
ajst-20198	67	2	optimal	optimal	ADJ
ajst-20198	67	3	search	search	NOUN
ajst-20198	67	4	strategy	strategy	NOUN
ajst-20198	67	5	calculates	calculate	VERB
ajst-20198	67	6	the	the	DET
ajst-20198	67	7	distance	distance	NOUN
ajst-20198	67	8	and	and	CCONJ
ajst-20198	67	9	direction	direction	NOUN
ajst-20198	67	10	between	between	ADP
ajst-20198	67	11	the	the	DET
ajst-20198	67	12	current	current	ADJ
ajst-20198	67	13	optimal	optimal	ADJ
ajst-20198	67	14	solution	solution	NOUN
ajst-20198	67	15	and	and	CCONJ
ajst-20198	67	16	the	the	DET
ajst-20198	67	17	crab	crab	NOUN
ajst-20198	67	18	individual	individual	NOUN
ajst-20198	67	19	,	,	PUNCT
ajst-20198	67	20	guiding	guide	VERB
ajst-20198	67	21	the	the	DET
ajst-20198	67	22	crab	crab	NOUN
ajst-20198	67	23	individual	individual	NOUN
ajst-20198	67	24	to	to	PART
ajst-20198	67	25	approach	approach	VERB
ajst-20198	67	26	the	the	DET
ajst-20198	67	27	optimal	optimal	ADJ
ajst-20198	67	28	solution	solution	NOUN
ajst-20198	67	29	.	.	PUNCT
ajst-20198	68	1	this	this	DET
ajst-20198	68	2	strategy	strategy	NOUN
ajst-20198	68	3	allows	allow	VERB
ajst-20198	68	4	the	the	DET
ajst-20198	68	5	algorithm	algorithm	NOUN
ajst-20198	68	6	to	to	PART
ajst-20198	68	7	continuously	continuously	ADV
ajst-20198	68	8	approach	approach	VERB
ajst-20198	68	9	the	the	DET
ajst-20198	68	10	global	global	ADJ
ajst-20198	68	11	optimal	optimal	ADJ
ajst-20198	68	12	solution	solution	NOUN
ajst-20198	68	13	during	during	ADP
ajst-20198	68	14	the	the	DET
ajst-20198	68	15	search	search	NOUN
ajst-20198	68	16	process	process	NOUN
ajst-20198	68	17	,	,	PUNCT
ajst-20198	68	18	thereby	thereby	ADV
ajst-20198	68	19	improving	improve	VERB
ajst-20198	68	20	the	the	DET
ajst-20198	68	21	convergence	convergence	NOUN
ajst-20198	68	22	speed	speed	NOUN
ajst-20198	68	23	and	and	CCONJ
ajst-20198	68	24	solution	solution	NOUN
ajst-20198	68	25	accuracy	accuracy	NOUN
ajst-20198	68	26	of	of	ADP
ajst-20198	68	27	the	the	DET
ajst-20198	68	28	algorithm	algorithm	NOUN
ajst-20198	68	29	.	.	PUNCT
ajst-20198	69	1	the	the	DET
ajst-20198	69	2	implementation	implementation	NOUN
ajst-20198	69	3	of	of	ADP
ajst-20198	69	4	the	the	DET
ajst-20198	69	5	optimal	optimal	ADJ
ajst-20198	69	6	search	search	NOUN
ajst-20198	69	7	strategy	strategy	NOUN
ajst-20198	69	8	usually	usually	ADV
ajst-20198	69	9	involves	involve	VERB
ajst-20198	69	10	the	the	DET
ajst-20198	69	11	storage	storage	NOUN
ajst-20198	69	12	and	and	CCONJ
ajst-20198	69	13	update	update	NOUN
ajst-20198	69	14	mechanism	mechanism	NOUN
ajst-20198	69	15	of	of	ADP
ajst-20198	69	16	the	the	DET
ajst-20198	69	17	optimal	optimal	ADJ
ajst-20198	69	18	solution	solution	NOUN
ajst-20198	69	19	.	.	PUNCT
ajst-20198	70	1	the	the	DET
ajst-20198	70	2	algorithm	algorithm	NOUN
ajst-20198	70	3	maintains	maintain	VERB
ajst-20198	70	4	a	a	DET
ajst-20198	70	5	global	global	ADJ
ajst-20198	70	6	optimal	optimal	ADJ
ajst-20198	70	7	solution	solution	NOUN
ajst-20198	70	8	list	list	NOUN
ajst-20198	70	9	to	to	PART
ajst-20198	70	10	record	record	VERB
ajst-20198	70	11	the	the	DET
ajst-20198	70	12	current	current	ADJ
ajst-20198	70	13	optimal	optimal	ADJ
ajst-20198	70	14	solution	solution	NOUN
ajst-20198	70	15	information	information	NOUN
ajst-20198	70	16	.	.	PUNCT
ajst-20198	71	1	in	in	ADP
ajst-20198	71	2	each	each	DET
ajst-20198	71	3	iteration	iteration	NOUN
ajst-20198	71	4	,	,	PUNCT
ajst-20198	71	5	the	the	DET
ajst-20198	71	6	algorithm	algorithm	NOUN
ajst-20198	71	7	updates	update	VERB
ajst-20198	71	8	this	this	DET
ajst-20198	71	9	list	list	NOUN
ajst-20198	71	10	,	,	PUNCT
ajst-20198	71	11	adding	add	VERB
ajst-20198	71	12	new	new	ADJ
ajst-20198	71	13	better	well	ADJ
ajst-20198	71	14	solutions	solution	NOUN
ajst-20198	71	15	to	to	ADP
ajst-20198	71	16	it	it	PRON
ajst-20198	71	17	.	.	PUNCT
ajst-20198	72	1	then	then	ADV
ajst-20198	72	2	,	,	PUNCT
ajst-20198	72	3	crab	crab	NOUN
ajst-20198	72	4	individuals	individual	NOUN
ajst-20198	72	5	formulate	formulate	VERB
ajst-20198	72	6	their	their	PRON
ajst-20198	72	7	search	search	NOUN
ajst-20198	72	8	strategy	strategy	NOUN
ajst-20198	72	9	based	base	VERB
ajst-20198	72	10	on	on	ADP
ajst-20198	72	11	the	the	DET
ajst-20198	72	12	optimal	optimal	ADJ
ajst-20198	72	13	solution	solution	NOUN
ajst-20198	72	14	information	information	NOUN
ajst-20198	72	15	in	in	ADP
ajst-20198	72	16	this	this	DET
ajst-20198	72	17	list	list	NOUN
ajst-20198	72	18	.	.	PUNCT
ajst-20198	73	1	this	this	DET
ajst-20198	73	2	strategy	strategy	NOUN
ajst-20198	73	3	allows	allow	VERB
ajst-20198	73	4	the	the	DET
ajst-20198	73	5	algorithm	algorithm	NOUN
ajst-20198	73	6	to	to	PART
ajst-20198	73	7	make	make	VERB
ajst-20198	73	8	full	full	ADJ
ajst-20198	73	9	use	use	NOUN
ajst-20198	73	10	of	of	ADP
ajst-20198	73	11	known	know	VERB
ajst-20198	73	12	optimal	optimal	ADJ
ajst-20198	73	13	solution	solution	NOUN
ajst-20198	73	14	information	information	NOUN
ajst-20198	73	15	,	,	PUNCT
ajst-20198	73	16	avoiding	avoid	VERB
ajst-20198	73	17	redundant	redundant	ADJ
ajst-20198	73	18	searches	search	NOUN
ajst-20198	73	19	of	of	ADP
ajst-20198	73	20	already	already	ADV
ajst-20198	73	21	explored	explore	VERB
ajst-20198	73	22	areas	area	NOUN
ajst-20198	73	23	,	,	PUNCT
ajst-20198	73	24	thereby	thereby	ADV
ajst-20198	73	25	improving	improve	VERB
ajst-20198	73	26	search	search	NOUN
ajst-20198	73	27	efficiency	efficiency	NOUN
ajst-20198	73	28	.	.	PUNCT
ajst-20198	74	1	the	the	DET
ajst-20198	74	2	historical	historical	ADJ
ajst-20198	74	3	path	path	NOUN
ajst-20198	74	4	search	search	NOUN
ajst-20198	74	5	strategy	strategy	NOUN
ajst-20198	74	6	is	be	AUX
ajst-20198	74	7	a	a	DET
ajst-20198	74	8	mechanism	mechanism	NOUN
ajst-20198	74	9	in	in	ADP
ajst-20198	74	10	the	the	DET
ajst-20198	74	11	crab	crab	NOUN
ajst-20198	74	12	optimization	optimization	NOUN
ajst-20198	74	13	algorithm	algorithm	NOUN
ajst-20198	74	14	used	use	VERB
ajst-20198	74	15	to	to	PART
ajst-20198	74	16	guide	guide	VERB
ajst-20198	74	17	individual	individual	ADJ
ajst-20198	74	18	crabs	crab	NOUN
ajst-20198	74	19	to	to	PART
ajst-20198	74	20	search	search	VERB
ajst-20198	74	21	based	base	VERB
ajst-20198	74	22	on	on	ADP
ajst-20198	74	23	their	their	PRON
ajst-20198	74	24	past	past	ADJ
ajst-20198	74	25	search	search	NOUN
ajst-20198	74	26	paths	path	NOUN
ajst-20198	74	27	.	.	PUNCT
ajst-20198	75	1	during	during	ADP
ajst-20198	75	2	the	the	DET
ajst-20198	75	3	search	search	NOUN
ajst-20198	75	4	process	process	NOUN
ajst-20198	75	5	of	of	ADP
ajst-20198	75	6	the	the	DET
ajst-20198	75	7	algorithm	algorithm	NOUN
ajst-20198	75	8	,	,	PUNCT
ajst-20198	75	9	each	each	DET
ajst-20198	75	10	crab	crab	NOUN
ajst-20198	75	11	individual	individual	NOUN
ajst-20198	75	12	records	record	VERB
ajst-20198	75	13	its	its	PRON
ajst-20198	75	14	search	search	NOUN
ajst-20198	75	15	history	history	NOUN
ajst-20198	75	16	,	,	PUNCT
ajst-20198	75	17	including	include	VERB
ajst-20198	75	18	previously	previously	ADV
ajst-20198	75	19	visited	visit	VERB
ajst-20198	75	20	positions	position	NOUN
ajst-20198	75	21	and	and	CCONJ
ajst-20198	75	22	search	search	NOUN
ajst-20198	75	23	directions	direction	NOUN
ajst-20198	75	24	.	.	PUNCT
ajst-20198	76	1	the	the	DET
ajst-20198	76	2	historical	historical	ADJ
ajst-20198	76	3	path	path	NOUN
ajst-20198	76	4	search	search	NOUN
ajst-20198	76	5	strategy	strategy	NOUN
ajst-20198	76	6	uses	use	VERB
ajst-20198	76	7	this	this	DET
ajst-20198	76	8	information	information	NOUN
ajst-20198	76	9	to	to	PART
ajst-20198	76	10	guide	guide	VERB
ajst-20198	76	11	crab	crab	NOUN
ajst-20198	76	12	individuals	individual	NOUN
ajst-20198	76	13	to	to	PART
ajst-20198	76	14	avoid	avoid	VERB
ajst-20198	76	15	revisiting	revisit	VERB
ajst-20198	76	16	areas	area	NOUN
ajst-20198	76	17	that	that	PRON
ajst-20198	76	18	have	have	AUX
ajst-20198	76	19	been	be	AUX
ajst-20198	76	20	fully	fully	ADV
ajst-20198	76	21	explored	explore	VERB
ajst-20198	76	22	in	in	ADP
ajst-20198	76	23	the	the	DET
ajst-20198	76	24	current	current	ADJ
ajst-20198	76	25	search	search	NOUN
ajst-20198	76	26	and	and	CCONJ
ajst-20198	76	27	instead	instead	ADV
ajst-20198	76	28	turn	turn	VERB
ajst-20198	76	29	to	to	ADP
ajst-20198	76	30	areas	area	NOUN
ajst-20198	76	31	that	that	PRON
ajst-20198	76	32	have	have	AUX
ajst-20198	76	33	not	not	PART
ajst-20198	76	34	been	be	AUX
ajst-20198	76	35	fully	fully	ADV
ajst-20198	76	36	explored	explore	VERB
ajst-20198	76	37	for	for	ADP
ajst-20198	76	38	search	search	NOUN
ajst-20198	76	39	.	.	PUNCT
ajst-20198	77	1	if	if	SCONJ
ajst-20198	77	2	the	the	DET
ajst-20198	77	3	current	current	ADJ
ajst-20198	77	4	position	position	NOUN
ajst-20198	77	5	is	be	AUX
ajst-20198	77	6	similar	similar	ADJ
ajst-20198	77	7	to	to	ADP
ajst-20198	77	8	a	a	DET
ajst-20198	77	9	historical	historical	ADJ
ajst-20198	77	10	position	position	NOUN
ajst-20198	77	11	,	,	PUNCT
ajst-20198	77	12	the	the	DET
ajst-20198	77	13	algorithm	algorithm	NOUN
ajst-20198	77	14	will	will	AUX
ajst-20198	77	15	guide	guide	VERB
ajst-20198	77	16	the	the	DET
ajst-20198	77	17	crab	crab	NOUN
ajst-20198	77	18	individual	individual	NOUN
ajst-20198	77	19	to	to	PART
ajst-20198	77	20	search	search	VERB
ajst-20198	77	21	in	in	ADP
ajst-20198	77	22	another	another	DET
ajst-20198	77	23	direction	direction	NOUN
ajst-20198	77	24	to	to	PART
ajst-20198	77	25	avoid	avoid	VERB
ajst-20198	77	26	falling	fall	VERB
ajst-20198	77	27	into	into	ADP
ajst-20198	77	28	local	local	ADJ
ajst-20198	77	29	optima	optima	NOUN
ajst-20198	77	30	.	.	PUNCT
ajst-20198	78	1	2.4	2.4	NUM
ajst-20198	78	2	.	.	PUNCT
ajst-20198	78	3	chaos	chaos	NOUN
ajst-20198	78	4	search	search	NOUN
ajst-20198	78	5	strategy	strategy	NOUN
ajst-20198	78	6	chaos	chaos	NOUN
ajst-20198	78	7	mapping	mapping	NOUN
ajst-20198	78	8	is	be	AUX
ajst-20198	78	9	used	use	VERB
ajst-20198	78	10	to	to	PART
ajst-20198	78	11	describe	describe	VERB
ajst-20198	78	12	and	and	CCONJ
ajst-20198	78	13	generate	generate	VERB
ajst-20198	78	14	chaotic	chaotic	ADJ
ajst-20198	78	15	behavior	behavior	NOUN
ajst-20198	78	16	,	,	PUNCT
ajst-20198	78	17	and	and	CCONJ
ajst-20198	78	18	common	common	ADJ
ajst-20198	78	19	chaos	chaos	NOUN
ajst-20198	78	20	mappings	mapping	NOUN
ajst-20198	78	21	include	include	VERB
ajst-20198	78	22	onedimensional	onedimensional	ADJ
ajst-20198	78	23	logistic	logistic	ADJ
ajst-20198	78	24	mapping	mapping	NOUN
ajst-20198	78	25	,	,	PUNCT
ajst-20198	78	26	two	two	NUM
ajst-20198	78	27	-	-	PUNCT
ajst-20198	78	28	dimensional	dimensional	ADJ
ajst-20198	78	29	he'non	he'non	PROPN
ajst-20198	78	30	mapping	mapping	NOUN
ajst-20198	78	31	,	,	PUNCT
ajst-20198	78	32	three	three	NUM
ajst-20198	78	33	-	-	PUNCT
ajst-20198	78	34	dimensional	dimensional	ADJ
ajst-20198	78	35	lorenz	lorenz	PROPN
ajst-20198	78	36	mapping	mapping	NOUN
ajst-20198	78	37	,	,	PUNCT
ajst-20198	78	38	piece	piece	NOUN
ajst-20198	78	39	wise	wise	ADJ
ajst-20198	78	40	linear	linear	PROPN
ajst-20198	78	41	chaos	chaos	NOUN
ajst-20198	78	42	mapping	mapping	NOUN
ajst-20198	78	43	,	,	PUNCT
ajst-20198	78	44	piecewise	piecewise	PROPN
ajst-20198	78	45	nonlinear	nonlinear	ADJ
ajst-20198	78	46	chaos	chaos	NOUN
ajst-20198	78	47	mapping	mapping	NOUN
ajst-20198	78	48	,	,	PUNCT
ajst-20198	78	49	etc	etc	X
ajst-20198	78	50	.	.	X
ajst-20198	79	1	this	this	DET
ajst-20198	79	2	paper	paper	NOUN
ajst-20198	79	3	selects	select	VERB
ajst-20198	79	4	the	the	DET
ajst-20198	79	5	one	one	NUM
ajst-20198	79	6	-	-	PUNCT
ajst-20198	79	7	dimensional	dimensional	ADJ
ajst-20198	79	8	logistic	logistic	ADJ
ajst-20198	79	9	mapping	mapping	NOUN
ajst-20198	79	10	to	to	PART
ajst-20198	79	11	affect	affect	VERB
ajst-20198	79	12	the	the	DET
ajst-20198	79	13	position	position	NOUN
ajst-20198	79	14	update	update	NOUN
ajst-20198	79	15	of	of	ADP
ajst-20198	79	16	crabs	crab	NOUN
ajst-20198	79	17	.	.	PUNCT
ajst-20198	80	1	the	the	DET
ajst-20198	80	2	one	one	NUM
ajst-20198	80	3	-	-	PUNCT
ajst-20198	80	4	dimensional	dimensional	ADJ
ajst-20198	80	5	logistic	logistic	ADJ
ajst-20198	80	6	mapping	mapping	NOUN
ajst-20198	80	7	is	be	AUX
ajst-20198	80	8	a	a	DET
ajst-20198	80	9	simple	simple	ADJ
ajst-20198	80	10	chaotic	chaotic	ADJ
ajst-20198	80	11	mapping	mapping	NOUN
ajst-20198	80	12	with	with	ADP
ajst-20198	80	13	extremely	extremely	ADV
ajst-20198	80	14	complex	complex	ADJ
ajst-20198	80	15	dynamic	dynamic	ADJ
ajst-20198	80	16	behavior	behavior	NOUN
ajst-20198	80	17	.	.	PUNCT
ajst-20198	81	1	its	its	PRON
ajst-20198	81	2	mathematical	mathematical	ADJ
ajst-20198	81	3	expression	expression	NOUN
ajst-20198	81	4	is	be	AUX
ajst-20198	81	5	as	as	SCONJ
ajst-20198	81	6	follows	follow	VERB
ajst-20198	81	7	:	:	PUNCT
ajst-20198	81	8	xn	xn	PROPN
ajst-20198	82	1	1	1	NUM
ajst-20198	82	2	xn	xn	PROPN
ajst-20198	82	3	μ	μ	PROPN
ajst-20198	82	4	1	1	NUM
ajst-20198	82	5	xn	xn	PROPN
ajst-20198	82	6	,	,	PUNCT
ajst-20198	82	7	(	(	PUNCT
ajst-20198	82	8	1	1	X
ajst-20198	82	9	)	)	PUNCT
ajst-20198	82	10	μ	μ	NOUN
ajst-20198	82	11	is	be	AUX
ajst-20198	82	12	called	call	VERB
ajst-20198	82	13	the	the	DET
ajst-20198	82	14	logistic	logistic	ADJ
ajst-20198	82	15	parameter	parameter	NOUN
ajst-20198	82	16	,	,	PUNCT
ajst-20198	82	17	which	which	PRON
ajst-20198	82	18	is	be	AUX
ajst-20198	82	19	the	the	DET
ajst-20198	82	20	value	value	NOUN
ajst-20198	82	21	of	of	ADP
ajst-20198	82	22	the	the	DET
ajst-20198	82	23	chaotic	chaotic	ADJ
ajst-20198	82	24	parameter	parameter	NOUN
ajst-20198	82	25	introduced	introduce	VERB
ajst-20198	82	26	in	in	ADP
ajst-20198	82	27	this	this	DET
ajst-20198	82	28	paper	paper	NOUN
ajst-20198	82	29	,	,	PUNCT
ajst-20198	82	30	x∈	x∈	PROPN
ajst-20198	83	1	[	[	X
ajst-20198	83	2	0,1	0,1	NUM
ajst-20198	83	3	]	]	PUNCT
ajst-20198	83	4	.	.	PUNCT
ajst-20198	84	1	the	the	DET
ajst-20198	84	2	original	original	ADJ
ajst-20198	84	3	search	search	NOUN
ajst-20198	84	4	method	method	NOUN
ajst-20198	84	5	is	be	AUX
ajst-20198	84	6	as	as	SCONJ
ajst-20198	84	7	follows	follow	VERB
ajst-20198	84	8	:	:	PUNCT
ajst-20198	84	9	step_size	step_size	VERB
ajst-20198	84	10	rand	rand	NOUN
ajst-20198	84	11	1	1	NUM
ajst-20198	84	12	,	,	PUNCT
ajst-20198	84	13	dim	dim	ADJ
ajst-20198	84	14	(	(	PUNCT
ajst-20198	84	15	2	2	NUM
ajst-20198	84	16	)	)	PUNCT
ajst-20198	84	17	after	after	ADP
ajst-20198	84	18	introducing	introduce	VERB
ajst-20198	84	19	chaos	chaos	NOUN
ajst-20198	84	20	mapping	mapping	NOUN
ajst-20198	84	21	:	:	PUNCT
ajst-20198	84	22	step_sizes	step_size	NOUN
ajst-20198	84	23	chaos_values	chaos_value	NOUN
ajst-20198	84	24	;	;	PUNCT
ajst-20198	84	25	(	(	PUNCT
ajst-20198	84	26	3	3	X
ajst-20198	84	27	)	)	PUNCT
ajst-20198	84	28	chaos_values	chaos_value	NOUN
ajst-20198	84	29	=	=	SYM
ajst-20198	85	1	chaos_function(rand(1	chaos_function(rand(1	NOUN
ajst-20198	85	2	,	,	PUNCT
ajst-20198	85	3	dim	dim	NOUN
ajst-20198	85	4	)	)	PUNCT
ajst-20198	85	5	,	,	PUNCT
ajst-20198	85	6	116	116	NUM
ajst-20198	85	7	chaos_parameter	chaos_parameter	NOUN
ajst-20198	85	8	,	,	PUNCT
ajst-20198	85	9	dim	dim	NOUN
ajst-20198	85	10	)	)	PUNCT
ajst-20198	85	11	;	;	PUNCT
ajst-20198	85	12	and	and	CCONJ
ajst-20198	85	13	the	the	DET
ajst-20198	85	14	chaos_values	chaos_value	NOUN
ajst-20198	85	15	are	be	AUX
ajst-20198	85	16	obtained	obtain	VERB
ajst-20198	85	17	by	by	ADP
ajst-20198	85	18	applying	apply	VERB
ajst-20198	85	19	the	the	DET
ajst-20198	85	20	formula	formula	NOUN
ajst-20198	85	21	(	(	PUNCT
ajst-20198	85	22	1	1	NUM
ajst-20198	85	23	)	)	PUNCT
ajst-20198	85	24	in	in	ADP
ajst-20198	85	25	the	the	DET
ajst-20198	85	26	chaos_function.then	chaos_function.then	NOUN
ajst-20198	85	27	,	,	PUNCT
ajst-20198	85	28	according	accord	VERB
ajst-20198	85	29	to	to	ADP
ajst-20198	85	30	the	the	DET
ajst-20198	85	31	obtained	obtain	VERB
ajst-20198	85	32	step_sizes	step_size	NOUN
ajst-20198	85	33	,	,	PUNCT
ajst-20198	85	34	the	the	DET
ajst-20198	85	35	position	position	NOUN
ajst-20198	85	36	is	be	AUX
ajst-20198	85	37	updated	update	VERB
ajst-20198	85	38	and	and	CCONJ
ajst-20198	85	39	the	the	DET
ajst-20198	85	40	fitness	fitness	NOUN
ajst-20198	85	41	value	value	NOUN
ajst-20198	85	42	after	after	SCONJ
ajst-20198	85	43	position	position	NOUN
ajst-20198	85	44	update	update	NOUN
ajst-20198	85	45	is	be	AUX
ajst-20198	85	46	calculated	calculate	VERB
ajst-20198	85	47	.	.	PUNCT
ajst-20198	86	1	new_individual	new_individual	ADJ
ajst-20198	86	2	=	=	ADJ
ajst-20198	86	3	best_individual	best_individual	PROPN
ajst-20198	86	4	+	+	CCONJ
ajst-20198	86	5	step_sizes	step_size	NOUN
ajst-20198	86	6	.	.	PUNCT
ajst-20198	87	1	*	*	PUNCT
ajst-20198	87	2	(	(	PUNCT
ajst-20198	87	3	population(i	population(i	PROPN
ajst-20198	87	4	,	,	PUNCT
ajst-20198	87	5	:	:	PUNCT
ajst-20198	87	6	best_individual	best_individual	ADJ
ajst-20198	87	7	)	)	PUNCT
ajst-20198	87	8	;	;	PUNCT
ajst-20198	87	9	(	(	PUNCT
ajst-20198	87	10	4	4	X
ajst-20198	87	11	)	)	PUNCT
ajst-20198	87	12	2.5	2.5	NUM
ajst-20198	87	13	.	.	PUNCT
ajst-20198	88	1	main	main	ADJ
ajst-20198	88	2	steps	step	NOUN
ajst-20198	88	3	of	of	ADP
ajst-20198	88	4	hcoa	hcoa	NOUN
ajst-20198	88	5	based	base	VERB
ajst-20198	88	6	on	on	ADP
ajst-20198	88	7	chaos	chaos	NOUN
ajst-20198	88	8	search	search	NOUN
ajst-20198	88	9	strategy	strategy	NOUN
ajst-20198	88	10	the	the	DET
ajst-20198	88	11	steps	step	NOUN
ajst-20198	88	12	of	of	ADP
ajst-20198	88	13	the	the	DET
ajst-20198	88	14	improved	improved	ADJ
ajst-20198	88	15	algorithm	algorithm	NOUN
ajst-20198	88	16	are	be	AUX
ajst-20198	88	17	as	as	SCONJ
ajst-20198	88	18	follows	follow	VERB
ajst-20198	88	19	:	:	PUNCT
ajst-20198	88	20	(	(	PUNCT
ajst-20198	88	21	1	1	X
ajst-20198	88	22	)	)	PUNCT
ajst-20198	88	23	initialize	initialize	VERB
ajst-20198	88	24	data	datum	NOUN
ajst-20198	88	25	.	.	PUNCT
ajst-20198	89	1	set	set	VERB
ajst-20198	89	2	the	the	DET
ajst-20198	89	3	number	number	NOUN
ajst-20198	89	4	of	of	ADP
ajst-20198	89	5	populations	population	NOUN
ajst-20198	89	6	,	,	PUNCT
ajst-20198	89	7	dimensions	dimension	NOUN
ajst-20198	89	8	,	,	PUNCT
ajst-20198	89	9	iteration	iteration	NOUN
ajst-20198	89	10	times	time	NOUN
ajst-20198	89	11	,	,	PUNCT
ajst-20198	89	12	and	and	CCONJ
ajst-20198	89	13	other	other	ADJ
ajst-20198	89	14	parameters	parameter	NOUN
ajst-20198	89	15	,	,	PUNCT
ajst-20198	89	16	and	and	CCONJ
ajst-20198	89	17	initialize	initialize	VERB
ajst-20198	89	18	the	the	DET
ajst-20198	89	19	positions	position	NOUN
ajst-20198	89	20	of	of	ADP
ajst-20198	89	21	crabs	crab	NOUN
ajst-20198	89	22	within	within	ADP
ajst-20198	89	23	the	the	DET
ajst-20198	89	24	limit	limit	NOUN
ajst-20198	89	25	range	range	NOUN
ajst-20198	89	26	,	,	PUNCT
ajst-20198	89	27	and	and	CCONJ
ajst-20198	89	28	calculate	calculate	VERB
ajst-20198	89	29	the	the	DET
ajst-20198	89	30	fitness	fitness	NOUN
ajst-20198	89	31	.	.	PUNCT
ajst-20198	90	1	record	record	VERB
ajst-20198	90	2	the	the	DET
ajst-20198	90	3	historical	historical	ADJ
ajst-20198	90	4	position	position	NOUN
ajst-20198	90	5	and	and	CCONJ
ajst-20198	90	6	fitness	fitness	NOUN
ajst-20198	90	7	value	value	NOUN
ajst-20198	90	8	of	of	ADP
ajst-20198	90	9	the	the	DET
ajst-20198	90	10	global	global	ADJ
ajst-20198	90	11	best	good	ADJ
ajst-20198	90	12	house	house	NOUN
ajst-20198	90	13	(	(	PUNCT
ajst-20198	90	14	shell	shell	PROPN
ajst-20198	90	15	)	)	PUNCT
ajst-20198	90	16	.	.	PUNCT
ajst-20198	91	1	(	(	PUNCT
ajst-20198	91	2	2	2	X
ajst-20198	91	3	)	)	PUNCT
ajst-20198	91	4	determine	determine	VERB
ajst-20198	91	5	the	the	DET
ajst-20198	91	6	alpha	alpha	NOUN
ajst-20198	91	7	crab	crab	NOUN
ajst-20198	91	8	.	.	PUNCT
ajst-20198	92	1	select	select	VERB
ajst-20198	92	2	the	the	DET
ajst-20198	92	3	crab	crab	NOUN
ajst-20198	92	4	with	with	ADP
ajst-20198	92	5	the	the	DET
ajst-20198	92	6	best	good	ADJ
ajst-20198	92	7	fitness	fitness	NOUN
ajst-20198	92	8	from	from	ADP
ajst-20198	92	9	the	the	DET
ajst-20198	92	10	initialized	initialize	VERB
ajst-20198	92	11	crab	crab	NOUN
ajst-20198	92	12	population	population	NOUN
ajst-20198	92	13	as	as	ADP
ajst-20198	92	14	the	the	DET
ajst-20198	92	15	alpha	alpha	NOUN
ajst-20198	92	16	crab	crab	NOUN
ajst-20198	92	17	.	.	PUNCT
ajst-20198	93	1	(	(	PUNCT
ajst-20198	93	2	3	3	X
ajst-20198	93	3	)	)	PUNCT
ajst-20198	93	4	use	use	VERB
ajst-20198	93	5	the	the	DET
ajst-20198	93	6	optimal	optimal	ADJ
ajst-20198	93	7	search	search	NOUN
ajst-20198	93	8	algorithm	algorithm	NOUN
ajst-20198	93	9	to	to	PART
ajst-20198	93	10	select	select	VERB
ajst-20198	93	11	an	an	DET
ajst-20198	93	12	alpha	alpha	NOUN
ajst-20198	93	13	crab	crab	NOUN
ajst-20198	93	14	for	for	ADP
ajst-20198	93	15	each	each	DET
ajst-20198	93	16	crab	crab	NOUN
ajst-20198	93	17	,	,	PUNCT
ajst-20198	93	18	and	and	CCONJ
ajst-20198	93	19	update	update	VERB
ajst-20198	93	20	the	the	DET
ajst-20198	93	21	parameter	parameter	NOUN
ajst-20198	93	22	values	value	NOUN
ajst-20198	93	23	according	accord	VERB
ajst-20198	93	24	to	to	ADP
ajst-20198	93	25	the	the	DET
ajst-20198	93	26	position	position	NOUN
ajst-20198	93	27	of	of	ADP
ajst-20198	93	28	the	the	DET
ajst-20198	93	29	alpha	alpha	NOUN
ajst-20198	93	30	crab	crab	NOUN
ajst-20198	93	31	.	.	PUNCT
ajst-20198	94	1	crabs	crab	NOUN
ajst-20198	94	2	wander	wander	VERB
ajst-20198	94	3	around	around	ADP
ajst-20198	94	4	the	the	DET
ajst-20198	94	5	selected	select	VERB
ajst-20198	94	6	alpha	alpha	NOUN
ajst-20198	94	7	crab	crab	NOUN
ajst-20198	94	8	,	,	PUNCT
ajst-20198	94	9	and	and	CCONJ
ajst-20198	94	10	in	in	ADP
ajst-20198	94	11	order	order	NOUN
ajst-20198	94	12	to	to	PART
ajst-20198	94	13	better	well	ADV
ajst-20198	94	14	find	find	VERB
ajst-20198	94	15	suitable	suitable	ADJ
ajst-20198	94	16	homes	home	NOUN
ajst-20198	94	17	for	for	ADP
ajst-20198	94	18	themselves	themselves	PRON
ajst-20198	94	19	,	,	PUNCT
ajst-20198	94	20	they	they	PRON
ajst-20198	94	21	search	search	VERB
ajst-20198	94	22	near	near	ADP
ajst-20198	94	23	the	the	DET
ajst-20198	94	24	five	five	NUM
ajst-20198	94	25	houses	house	NOUN
ajst-20198	94	26	recently	recently	ADV
ajst-20198	94	27	left	leave	VERB
ajst-20198	94	28	by	by	ADP
ajst-20198	94	29	the	the	DET
ajst-20198	94	30	alpha	alpha	NOUN
ajst-20198	94	31	crab	crab	NOUN
ajst-20198	94	32	through	through	ADP
ajst-20198	94	33	the	the	DET
ajst-20198	94	34	historical	historical	ADJ
ajst-20198	94	35	path	path	NOUN
ajst-20198	94	36	search	search	NOUN
ajst-20198	94	37	algorithm	algorithm	NOUN
ajst-20198	94	38	,	,	PUNCT
ajst-20198	94	39	updating	update	VERB
ajst-20198	94	40	the	the	DET
ajst-20198	94	41	position	position	NOUN
ajst-20198	94	42	of	of	ADP
ajst-20198	94	43	the	the	DET
ajst-20198	94	44	crabs	crab	NOUN
ajst-20198	94	45	.	.	PUNCT
ajst-20198	95	1	(	(	PUNCT
ajst-20198	95	2	4	4	X
ajst-20198	95	3	)	)	PUNCT
ajst-20198	95	4	introduce	introduce	VERB
ajst-20198	95	5	the	the	DET
ajst-20198	95	6	chaos	chaos	NOUN
ajst-20198	95	7	search	search	NOUN
ajst-20198	95	8	algorithm	algorithm	NOUN
ajst-20198	95	9	,	,	PUNCT
ajst-20198	95	10	and	and	CCONJ
ajst-20198	95	11	the	the	DET
ajst-20198	95	12	position	position	NOUN
ajst-20198	95	13	of	of	ADP
ajst-20198	95	14	crabs	crab	NOUN
ajst-20198	95	15	is	be	AUX
ajst-20198	95	16	updated	update	VERB
ajst-20198	95	17	according	accord	VERB
ajst-20198	95	18	to	to	ADP
ajst-20198	95	19	formula	formula	NOUN
ajst-20198	95	20	(	(	PUNCT
ajst-20198	95	21	4	4	NUM
ajst-20198	95	22	)	)	PUNCT
ajst-20198	95	23	.	.	PUNCT
ajst-20198	96	1	(	(	PUNCT
ajst-20198	96	2	5	5	X
ajst-20198	96	3	)	)	PUNCT
ajst-20198	96	4	calculate	calculate	VERB
ajst-20198	96	5	the	the	DET
ajst-20198	96	6	fitness	fitness	NOUN
ajst-20198	96	7	values	value	NOUN
ajst-20198	96	8	of	of	ADP
ajst-20198	96	9	crabs	crab	NOUN
ajst-20198	96	10	and	and	CCONJ
ajst-20198	96	11	alpha	alpha	NOUN
ajst-20198	96	12	crabs	crab	NOUN
ajst-20198	96	13	,	,	PUNCT
ajst-20198	96	14	and	and	CCONJ
ajst-20198	96	15	update	update	VERB
ajst-20198	96	16	the	the	DET
ajst-20198	96	17	position	position	NOUN
ajst-20198	96	18	of	of	ADP
ajst-20198	96	19	the	the	DET
ajst-20198	96	20	alpha	alpha	NOUN
ajst-20198	96	21	crab	crab	NOUN
ajst-20198	96	22	according	accord	VERB
ajst-20198	96	23	to	to	ADP
ajst-20198	96	24	the	the	DET
ajst-20198	96	25	position	position	NOUN
ajst-20198	96	26	and	and	CCONJ
ajst-20198	96	27	fitness	fitness	NOUN
ajst-20198	96	28	of	of	ADP
ajst-20198	96	29	the	the	DET
ajst-20198	96	30	crabs	crab	NOUN
ajst-20198	96	31	.	.	PUNCT
ajst-20198	97	1	the	the	DET
ajst-20198	97	2	best	good	ADJ
ajst-20198	97	3	position	position	NOUN
ajst-20198	97	4	is	be	AUX
ajst-20198	97	5	the	the	DET
ajst-20198	97	6	new	new	ADJ
ajst-20198	97	7	alpha	alpha	NOUN
ajst-20198	97	8	crab	crab	NOUN
ajst-20198	97	9	's	's	PART
ajst-20198	97	10	position	position	NOUN
ajst-20198	97	11	.	.	PUNCT
ajst-20198	98	1	(	(	PUNCT
ajst-20198	98	2	6	6	X
ajst-20198	98	3	)	)	PUNCT
ajst-20198	98	4	determine	determine	VERB
ajst-20198	98	5	whether	whether	SCONJ
ajst-20198	98	6	the	the	DET
ajst-20198	98	7	algorithm	algorithm	NOUN
ajst-20198	98	8	's	's	PART
ajst-20198	98	9	stopping	stopping	NOUN
ajst-20198	98	10	conditions	condition	NOUN
ajst-20198	98	11	are	be	AUX
ajst-20198	98	12	met	meet	VERB
ajst-20198	98	13	.	.	PUNCT
ajst-20198	99	1	if	if	SCONJ
ajst-20198	99	2	so	so	ADV
ajst-20198	99	3	,	,	PUNCT
ajst-20198	99	4	output	output	VERB
ajst-20198	99	5	the	the	DET
ajst-20198	99	6	results	result	NOUN
ajst-20198	99	7	,	,	PUNCT
ajst-20198	99	8	return	return	VERB
ajst-20198	99	9	the	the	DET
ajst-20198	99	10	position	position	NOUN
ajst-20198	99	11	and	and	CCONJ
ajst-20198	99	12	fitness	fitness	NOUN
ajst-20198	99	13	of	of	ADP
ajst-20198	99	14	the	the	DET
ajst-20198	99	15	alpha	alpha	NOUN
ajst-20198	99	16	crab	crab	NOUN
ajst-20198	99	17	,	,	PUNCT
ajst-20198	99	18	and	and	CCONJ
ajst-20198	99	19	end	end	VERB
ajst-20198	99	20	the	the	DET
ajst-20198	99	21	iteration	iteration	NOUN
ajst-20198	99	22	;	;	PUNCT
ajst-20198	99	23	otherwise	otherwise	ADV
ajst-20198	99	24	,	,	PUNCT
ajst-20198	99	25	go	go	VERB
ajst-20198	99	26	back	back	ADV
ajst-20198	99	27	to	to	ADP
ajst-20198	99	28	step	step	NOUN
ajst-20198	99	29	(	(	PUNCT
ajst-20198	99	30	3	3	NUM
ajst-20198	99	31	)	)	PUNCT
ajst-20198	99	32	.	.	PUNCT
ajst-20198	100	1	2.6	2.6	NUM
ajst-20198	100	2	.	.	PUNCT
ajst-20198	100	3	experiment	experiment	NOUN
ajst-20198	100	4	and	and	CCONJ
ajst-20198	100	5	analysis	analysis	NOUN
ajst-20198	100	6	this	this	DET
ajst-20198	100	7	section	section	NOUN
ajst-20198	100	8	compares	compare	VERB
ajst-20198	100	9	the	the	DET
ajst-20198	100	10	newly	newly	ADV
ajst-20198	100	11	proposed	propose	VERB
ajst-20198	100	12	crab	crab	NOUN
ajst-20198	100	13	optimization	optimization	NOUN
ajst-20198	100	14	algorithm	algorithm	NOUN
ajst-20198	100	15	based	base	VERB
ajst-20198	100	16	on	on	ADP
ajst-20198	100	17	chaos	chaos	NOUN
ajst-20198	100	18	mapping	mapping	NOUN
ajst-20198	100	19	(	(	PUNCT
ajst-20198	100	20	hcoacs	hcoacs	PROPN
ajst-20198	100	21	)	)	PUNCT
ajst-20198	100	22	,	,	PUNCT
ajst-20198	100	23	particle	particle	NOUN
ajst-20198	100	24	swarm	swarm	NOUN
ajst-20198	100	25	optimization	optimization	NOUN
ajst-20198	100	26	algorithm	algorithm	NOUN
ajst-20198	100	27	(	(	PUNCT
ajst-20198	100	28	pso	pso	NOUN
ajst-20198	100	29	)	)	PUNCT
ajst-20198	100	30	,	,	PUNCT
ajst-20198	100	31	bat	bat	NOUN
ajst-20198	100	32	algorithm	algorithm	NOUN
ajst-20198	100	33	(	(	PUNCT
ajst-20198	100	34	ba	ba	NOUN
ajst-20198	100	35	)	)	PUNCT
ajst-20198	100	36	,	,	PUNCT
ajst-20198	100	37	and	and	CCONJ
ajst-20198	100	38	the	the	DET
ajst-20198	100	39	original	original	ADJ
ajst-20198	100	40	crab	crab	NOUN
ajst-20198	100	41	optimization	optimization	NOUN
ajst-20198	100	42	algorithm	algorithm	NOUN
ajst-20198	100	43	(	(	PUNCT
ajst-20198	100	44	hoca	hoca	PROPN
ajst-20198	100	45	)	)	PUNCT
ajst-20198	100	46	through	through	ADP
ajst-20198	100	47	comparative	comparative	ADJ
ajst-20198	100	48	experiments	experiment	NOUN
ajst-20198	100	49	.	.	PUNCT
ajst-20198	101	1	by	by	ADP
ajst-20198	101	2	comparing	compare	VERB
ajst-20198	101	3	the	the	DET
ajst-20198	101	4	solutions	solution	NOUN
ajst-20198	101	5	of	of	ADP
ajst-20198	101	6	some	some	DET
ajst-20198	101	7	test	test	NOUN
ajst-20198	101	8	functions	function	NOUN
ajst-20198	101	9	in	in	ADP
ajst-20198	101	10	cec2005	cec2005	NOUN
ajst-20198	101	11	,	,	PUNCT
ajst-20198	101	12	the	the	DET
ajst-20198	101	13	effectiveness	effectiveness	NOUN
ajst-20198	101	14	of	of	ADP
ajst-20198	101	15	the	the	DET
ajst-20198	101	16	algorithm	algorithm	NOUN
ajst-20198	101	17	improvement	improvement	NOUN
ajst-20198	101	18	is	be	AUX
ajst-20198	101	19	analyzed	analyze	VERB
ajst-20198	101	20	.	.	PUNCT
ajst-20198	102	1	the	the	DET
ajst-20198	102	2	test	test	NOUN
ajst-20198	102	3	functions	function	NOUN
ajst-20198	102	4	used	use	VERB
ajst-20198	102	5	in	in	ADP
ajst-20198	102	6	the	the	DET
ajst-20198	102	7	experiments	experiment	NOUN
ajst-20198	102	8	are	be	AUX
ajst-20198	102	9	shown	show	VERB
ajst-20198	102	10	in	in	ADP
ajst-20198	102	11	the	the	DET
ajst-20198	102	12	table	table	NOUN
ajst-20198	102	13	1	1	NUM
ajst-20198	102	14	below	below	ADV
ajst-20198	102	15	:	:	PUNCT
ajst-20198	102	16	table	table	NOUN
ajst-20198	102	17	1	1	NUM
ajst-20198	102	18	.	.	PUNCT
ajst-20198	103	1	some	some	DET
ajst-20198	103	2	cec2005	cec2005	NOUN
ajst-20198	103	3	test	test	NOUN
ajst-20198	103	4	functions	function	NOUN
ajst-20198	103	5	no	no	DET
ajst-20198	103	6	functions	function	NOUN
ajst-20198	103	7	d	d	NOUN
ajst-20198	103	8	search	search	NOUN
ajst-20198	103	9	space	space	NOUN
ajst-20198	103	10	f	f	PROPN
ajst-20198	103	11	f1	f1	NOUN
ajst-20198	103	12	𝐹	𝐹	PROPN
ajst-20198	104	1	𝑥	𝑥	NOUN
ajst-20198	104	2	𝑥	𝑥	NUM
ajst-20198	104	3	30	30	NUM
ajst-20198	104	4	100,100	100,100	NUM
ajst-20198	104	5	0	0	NUM
ajst-20198	105	1	f2	f2	INTJ
ajst-20198	105	2	𝐹	𝐹	PROPN
ajst-20198	106	1	𝑥	𝑥	PROPN
ajst-20198	106	2	|𝑥	|𝑥	NOUN
ajst-20198	106	3	|	|	ADV
ajst-20198	106	4	|𝑥	|𝑥	NOUN
ajst-20198	106	5	|	|	ADV
ajst-20198	106	6	30	30	NUM
ajst-20198	106	7	10,10	10,10	NUM
ajst-20198	106	8	0	0	NUM
ajst-20198	106	9	f3	f3	ADJ
ajst-20198	106	10	𝐹	𝐹	PROPN
ajst-20198	106	11	𝑥	𝑥	INTJ
ajst-20198	106	12	𝑥	𝑥	NUM
ajst-20198	106	13	30	30	NUM
ajst-20198	106	14	100,100	100,100	NUM
ajst-20198	106	15	0	0	NUM
ajst-20198	107	1	f4	f4	NUM
ajst-20198	107	2	𝐹	𝐹	PROPN
ajst-20198	108	1	𝑥	𝑥	DET
ajst-20198	108	2	𝑚𝑎𝑥	𝑚𝑎𝑥	ADJ
ajst-20198	108	3	|𝑥	|𝑥	NOUN
ajst-20198	108	4	|	|	ADV
ajst-20198	108	5	,	,	PUNCT
ajst-20198	108	6	𝑖	𝑖	NOUN
ajst-20198	108	7	𝑖	𝑖	VERB
ajst-20198	108	8	𝑛	𝑛	PROPN
ajst-20198	108	9	30	30	NUM
ajst-20198	108	10	100,100	100,100	NUM
ajst-20198	108	11	0	0	NUM
ajst-20198	108	12	f5	f5	PROPN
ajst-20198	108	13	𝐹	𝐹	PROPN
ajst-20198	108	14	𝑥	𝑥	NOUN
ajst-20198	108	15	100	100	NUM
ajst-20198	108	16	𝑥	𝑥	PRON
ajst-20198	108	17	𝑥	𝑥	PRON
ajst-20198	108	18	𝑥	𝑥	NOUN
ajst-20198	108	19	1	1	NUM
ajst-20198	108	20	30	30	NUM
ajst-20198	108	21	30,30	30,30	NUM
ajst-20198	108	22	0	0	NUM
ajst-20198	108	23	f6	f6	NUM
ajst-20198	108	24	𝐹	𝐹	PROPN
ajst-20198	109	1	𝑥	𝑥	PRON
ajst-20198	109	2	𝑥	𝑥	ADV
ajst-20198	109	3	0.5	0.5	NUM
ajst-20198	109	4	30	30	NUM
ajst-20198	109	5	100,100	100,100	NUM
ajst-20198	109	6	0	0	NUM
ajst-20198	110	1	f7	f7	INTJ
ajst-20198	110	2	𝐹	𝐹	PROPN
ajst-20198	111	1	𝑥	𝑥	INTJ
ajst-20198	111	2	𝑖𝑥	𝑖𝑥	INTJ
ajst-20198	111	3	𝑟𝑎𝑛𝑑𝑜𝑚	𝑟𝑎𝑛𝑑𝑜𝑚	PROPN
ajst-20198	111	4	0,1	0,1	NUM
ajst-20198	111	5	30	30	NUM
ajst-20198	111	6	1.28,1.28	1.28,1.28	NUM
ajst-20198	111	7	0	0	NUM
ajst-20198	112	1	f8	f8	PROPN
ajst-20198	112	2	𝐹	𝐹	PROPN
ajst-20198	113	1	𝑥	𝑥	NOUN
ajst-20198	114	1	𝑥	𝑥	NOUN
ajst-20198	114	2	10𝑐𝑜𝑠	10𝑐𝑜𝑠	NUM
ajst-20198	114	3	2𝜋𝑥	2𝜋𝑥	ADJ
ajst-20198	115	1	10	10	NUM
ajst-20198	115	2	30	30	NUM
ajst-20198	115	3	5.12,5.12	5.12,5.12	NUM
ajst-20198	115	4	0	0	NUM
ajst-20198	115	5	f9	f9	PROPN
ajst-20198	115	6	𝐹	𝐹	PROPN
ajst-20198	116	1	𝑥	𝑥	PRON
ajst-20198	116	2	20𝑒𝑥𝑝	20𝑒𝑥𝑝	NOUN
ajst-20198	116	3	0.2	0.2	NUM
ajst-20198	116	4	1	1	NUM
ajst-20198	116	5	𝑛	𝑛	PRON
ajst-20198	116	6	𝑥	𝑥	X
ajst-20198	116	7	𝑒𝑥𝑝	𝑒𝑥𝑝	INTJ
ajst-20198	116	8	1	1	NUM
ajst-20198	116	9	𝑛	𝑛	PRON
ajst-20198	116	10	cos	cos	PROPN
ajst-20198	117	1	2𝜋𝑥	2𝜋𝑥	ADJ
ajst-20198	118	1	20	20	NUM
ajst-20198	118	2	𝑒	𝑒	PROPN
ajst-20198	118	3	30	30	NUM
ajst-20198	118	4	32,32	32,32	NUM
ajst-20198	118	5	0	0	NUM
ajst-20198	118	6	f10	f10	AUX
ajst-20198	118	7	𝐹	𝐹	PROPN
ajst-20198	118	8	𝑥	𝑥	NOUN
ajst-20198	118	9	1	1	NUM
ajst-20198	118	10	4000	4000	NUM
ajst-20198	118	11	𝑥	𝑥	INTJ
ajst-20198	118	12	cos	cos	ADP
ajst-20198	118	13	𝑥	𝑥	X
ajst-20198	118	14	√𝑖	√𝑖	SYM
ajst-20198	118	15	1	1	NUM
ajst-20198	118	16	30	30	NUM
ajst-20198	118	17	600,600	600,600	NUM
ajst-20198	118	18	0	0	NUM
ajst-20198	118	19	f11	f11	NOUN
ajst-20198	118	20	𝐹	𝐹	PROPN
ajst-20198	118	21	𝑥	𝑥	NOUN
ajst-20198	118	22	𝜋	𝜋	NOUN
ajst-20198	118	23	𝑛	𝑛	VERB
ajst-20198	118	24	10sin	10sin	VERB
ajst-20198	118	25	𝜋𝑦	𝜋𝑦	PROPN
ajst-20198	118	26	𝑦	𝑦	NOUN
ajst-20198	118	27	1	1	NUM
ajst-20198	118	28	1	1	NUM
ajst-20198	118	29	10sin	10sin	NOUN
ajst-20198	118	30	𝜋𝑦	𝜋𝑦	PROPN
ajst-20198	118	31	𝑦	𝑦	PROPN
ajst-20198	118	32	1	1	NUM
ajst-20198	118	33	𝑢	𝑢	PART
ajst-20198	118	34	𝑥	𝑥	X
ajst-20198	118	35	,	,	PUNCT
ajst-20198	118	36	10,100,4	10,100,4	NUM
ajst-20198	118	37	30	30	NUM
ajst-20198	118	38	50,50	50,50	NUM
ajst-20198	118	39	0	0	NUM
ajst-20198	118	40	f12	f12	NOUN
ajst-20198	118	41	𝐹	𝐹	PROPN
ajst-20198	118	42	𝑥	𝑥	NOUN
ajst-20198	118	43	0.1	0.1	NUM
ajst-20198	118	44	sin	sin	NOUN
ajst-20198	118	45	3𝜋𝑥	3𝜋𝑥	ADJ
ajst-20198	118	46	𝑥	𝑥	NOUN
ajst-20198	118	47	1	1	NUM
ajst-20198	118	48	1	1	NUM
ajst-20198	118	49	sin	sin	NOUN
ajst-20198	118	50	3𝜋𝑥	3𝜋𝑥	ADJ
ajst-20198	118	51	𝑥	𝑥	NOUN
ajst-20198	118	52	1	1	NUM
ajst-20198	118	53	1	1	NUM
ajst-20198	118	54	sin	sin	NOUN
ajst-20198	118	55	2𝜋𝑥	2𝜋𝑥	NOUN
ajst-20198	118	56	𝑢	𝑢	ADP
ajst-20198	118	57	𝑥	𝑥	X
ajst-20198	118	58	,	,	PUNCT
ajst-20198	118	59	5,100,4	5,100,4	NUM
ajst-20198	118	60	30	30	NUM
ajst-20198	118	61	50,50	50,50	NUM
ajst-20198	118	62	0	0	NUM
ajst-20198	118	63	f13	f13	NOUN
ajst-20198	118	64	𝐹	𝐹	PROPN
ajst-20198	118	65	𝑥	𝑥	NOUN
ajst-20198	118	66	=	=	PUNCT
ajst-20198	118	67	∑	∑	PROPN
ajst-20198	118	68	∑	∑	PROPN
ajst-20198	118	69	2	2	NUM
ajst-20198	118	70	65.536	65.536	NUM
ajst-20198	118	71	,	,	PUNCT
ajst-20198	118	72	65.536	65.536	NUM
ajst-20198	118	73	0.99800383779445	0.99800383779445	NUM
ajst-20198	118	74	f14	f14	NOUN
ajst-20198	118	75	𝐹	𝐹	PROPN
ajst-20198	118	76	𝑥	𝑥	NOUN
ajst-20198	119	1	𝑎	𝑎	X
ajst-20198	119	2	𝑥	𝑥	X
ajst-20198	119	3	𝑏	𝑏	NOUN
ajst-20198	119	4	𝑏	𝑏	NOUN
ajst-20198	119	5	𝑥	𝑥	PROPN
ajst-20198	119	6	𝑏	𝑏	NOUN
ajst-20198	119	7	𝑥	𝑥	X
ajst-20198	119	8	𝑏	𝑏	NOUN
ajst-20198	119	9	𝑥	𝑥	DET
ajst-20198	119	10	4	4	NUM
ajst-20198	119	11	5,5	5,5	NUM
ajst-20198	119	12	0.0003075	0.0003075	NUM
ajst-20198	120	1	f15	f15	NOUN
ajst-20198	120	2	𝐹	𝐹	PROPN
ajst-20198	121	1	𝑥	𝑥	PROPN
ajst-20198	121	2	4𝑥	4𝑥	NOUN
ajst-20198	121	3	2.1𝑥	2.1𝑥	NUM
ajst-20198	121	4	1	1	NUM
ajst-20198	121	5	3	3	NUM
ajst-20198	121	6	𝑥	𝑥	DET
ajst-20198	121	7	𝑥	𝑥	DET
ajst-20198	121	8	𝑥	𝑥	PROPN
ajst-20198	121	9	4𝑥	4𝑥	ADJ
ajst-20198	121	10	4𝑥	4𝑥	NOUN
ajst-20198	121	11	2	2	NUM
ajst-20198	121	12	5,5	5,5	NUM
ajst-20198	121	13	0.99800383779445	0.99800383779445	NUM
ajst-20198	121	14	f16	f16	NOUN
ajst-20198	121	15	𝐹	𝐹	PROPN
ajst-20198	121	16	𝑥	𝑥	PROPN
ajst-20198	121	17	1	1	NUM
ajst-20198	121	18	𝑥	𝑥	DET
ajst-20198	121	19	𝑥	𝑥	NUM
ajst-20198	121	20	1	1	NUM
ajst-20198	121	21	19	19	NUM
ajst-20198	121	22	14𝑥	14𝑥	NOUN
ajst-20198	121	23	3𝑥	3𝑥	NUM
ajst-20198	121	24	14𝑥	14𝑥	NOUN
ajst-20198	121	25	6𝑥	6𝑥	NUM
ajst-20198	121	26	𝑥	𝑥	DET
ajst-20198	121	27	3𝑥	3𝑥	NUM
ajst-20198	121	28	30	30	NUM
ajst-20198	121	29	2𝑥	2𝑥	NOUN
ajst-20198	121	30	3𝑥	3𝑥	NUM
ajst-20198	121	31	18	18	NUM
ajst-20198	121	32	32𝑥	32𝑥	NOUN
ajst-20198	121	33	12𝑥	12𝑥	NOUN
ajst-20198	121	34	48𝑥	48𝑥	NOUN
ajst-20198	121	35	36𝑥	36𝑥	ADP
ajst-20198	121	36	𝑥	𝑥	PROPN
ajst-20198	121	37	27𝑥	27𝑥	NUM
ajst-20198	121	38	2	2	NUM
ajst-20198	121	39	2,2	2,2	NUM
ajst-20198	121	40	2.99999999999992	2.99999999999992	NUM
ajst-20198	121	41	117	117	NUM
ajst-20198	121	42	the	the	DET
ajst-20198	121	43	experimental	experimental	ADJ
ajst-20198	121	44	parameters	parameter	NOUN
ajst-20198	121	45	are	be	AUX
ajst-20198	121	46	set	set	VERB
ajst-20198	121	47	as	as	SCONJ
ajst-20198	121	48	follows	follow	VERB
ajst-20198	121	49	:	:	PUNCT
ajst-20198	121	50	the	the	DET
ajst-20198	121	51	population	population	NOUN
ajst-20198	121	52	size	size	NOUN
ajst-20198	121	53	is	be	AUX
ajst-20198	121	54	40	40	NUM
ajst-20198	121	55	,	,	PUNCT
ajst-20198	121	56	the	the	DET
ajst-20198	121	57	maximum	maximum	ADJ
ajst-20198	121	58	number	number	NOUN
ajst-20198	121	59	of	of	ADP
ajst-20198	121	60	iterations	iteration	NOUN
ajst-20198	121	61	is	be	AUX
ajst-20198	121	62	10,000	10,000	NUM
ajst-20198	121	63	,	,	PUNCT
ajst-20198	121	64	and	and	CCONJ
ajst-20198	121	65	the	the	DET
ajst-20198	121	66	chaos	chaos	NOUN
ajst-20198	121	67	value	value	NOUN
ajst-20198	121	68	is	be	AUX
ajst-20198	121	69	6	6	NUM
ajst-20198	121	70	.	.	PUNCT
ajst-20198	121	71	to	to	PART
ajst-20198	121	72	ensure	ensure	VERB
ajst-20198	121	73	the	the	DET
ajst-20198	121	74	accuracy	accuracy	NOUN
ajst-20198	121	75	of	of	ADP
ajst-20198	121	76	the	the	DET
ajst-20198	121	77	results	result	NOUN
ajst-20198	121	78	,	,	PUNCT
ajst-20198	121	79	both	both	DET
ajst-20198	121	80	algorithms	algorithm	NOUN
ajst-20198	121	81	will	will	AUX
ajst-20198	121	82	be	be	AUX
ajst-20198	121	83	independently	independently	ADV
ajst-20198	121	84	run	run	VERB
ajst-20198	121	85	30	30	NUM
ajst-20198	121	86	times	time	NOUN
ajst-20198	121	87	in	in	ADP
ajst-20198	121	88	the	the	DET
ajst-20198	121	89	same	same	ADJ
ajst-20198	121	90	version	version	NOUN
ajst-20198	121	91	of	of	ADP
ajst-20198	121	92	matlab	matlab	PROPN
ajst-20198	121	93	software	software	NOUN
ajst-20198	121	94	,	,	PUNCT
ajst-20198	121	95	and	and	CCONJ
ajst-20198	121	96	the	the	DET
ajst-20198	121	97	mean	mean	ADJ
ajst-20198	121	98	(	(	PUNCT
ajst-20198	121	99	mean	mean	ADJ
ajst-20198	121	100	)	)	PUNCT
ajst-20198	121	101	and	and	CCONJ
ajst-20198	121	102	standard	standard	ADJ
ajst-20198	121	103	deviation	deviation	NOUN
ajst-20198	121	104	(	(	PUNCT
ajst-20198	121	105	std	std	NOUN
ajst-20198	121	106	)	)	PUNCT
ajst-20198	121	107	of	of	ADP
ajst-20198	121	108	each	each	DET
ajst-20198	121	109	benchmark	benchmark	NOUN
ajst-20198	121	110	function	function	NOUN
ajst-20198	121	111	will	will	AUX
ajst-20198	121	112	be	be	AUX
ajst-20198	121	113	calculated	calculate	VERB
ajst-20198	121	114	.	.	PUNCT
ajst-20198	122	1	the	the	DET
ajst-20198	122	2	experimental	experimental	ADJ
ajst-20198	122	3	results	result	NOUN
ajst-20198	122	4	are	be	AUX
ajst-20198	122	5	shown	show	VERB
ajst-20198	122	6	in	in	ADP
ajst-20198	122	7	table	table	NOUN
ajst-20198	122	8	2	2	NUM
ajst-20198	122	9	table	table	NOUN
ajst-20198	122	10	2	2	NUM
ajst-20198	122	11	.	.	PUNCT
ajst-20198	122	12	comparison	comparison	NOUN
ajst-20198	122	13	of	of	ADP
ajst-20198	122	14	results	result	NOUN
ajst-20198	122	15	for	for	ADP
ajst-20198	122	16	solving	solve	VERB
ajst-20198	122	17	test	test	NOUN
ajst-20198	122	18	functions	function	NOUN
ajst-20198	122	19	f	f	PROPN
ajst-20198	122	20	index	index	PROPN
ajst-20198	122	21	hcoa	hcoa	NOUN
ajst-20198	122	22	hcoa	hcoa	PROPN
ajst-20198	122	23	-	-	PUNCT
ajst-20198	122	24	cs	cs	PROPN
ajst-20198	122	25	pos	pos	NOUN
ajst-20198	123	1	ba	ba	PROPN
ajst-20198	123	2	f	f	NOUN
ajst-20198	123	3	x	x	NOUN
ajst-20198	123	4	mean	mean	VERB
ajst-20198	123	5	6.96009e+03	6.96009e+03	NUM
ajst-20198	123	6	3.82009e-16	3.82009e-16	NUM
ajst-20198	123	7	2.8431e-01	2.8431e-01	NUM
ajst-20198	123	8	3.0287e+00	3.0287e+00	NUM
ajst-20198	123	9	std	std	NOUN
ajst-20198	123	10	1.21585e+06	1.21585e+06	NUM
ajst-20198	124	1	2.60852e-30	2.60852e-30	NUM
ajst-20198	124	2	6.3156e-03	6.3156e-03	NUM
ajst-20198	124	3	1.1864e-01	1.1864e-01	NUM
ajst-20198	124	4	f	f	NOUN
ajst-20198	124	5	x	x	NOUN
ajst-20198	124	6	mean	mean	VERB
ajst-20198	124	7	3.33325e+01	3.33325e+01	NUM
ajst-20198	125	1	7.64726e-86	7.64726e-86	NUM
ajst-20198	125	2	2.7590e-02	2.7590e-02	NUM
ajst-20198	125	3	7.6621e+00	7.6621e+00	NUM
ajst-20198	125	4	std	std	NOUN
ajst-20198	125	5	4.67371e+01	4.67371e+01	NUM
ajst-20198	125	6	2.35289e-171	2.35289e-171	NUM
ajst-20198	125	7	3.5397e-04	3.5397e-04	NUM
ajst-20198	125	8	2.0926e-01	2.0926e-01	NUM
ajst-20198	125	9	f	f	NOUN
ajst-20198	125	10	x	x	NOUN
ajst-20198	125	11	mean	mean	VERB
ajst-20198	125	12	9.16933e+03	9.16933e+03	NUM
ajst-20198	125	13	4.28676e+00	4.28676e+00	NUM
ajst-20198	125	14	3.2065e+00	3.2065e+00	NUM
ajst-20198	126	1	5.2386e+00	5.2386e+00	NUM
ajst-20198	126	2	std	std	VERB
ajst-20198	126	3	3.48270e+06	3.48270e+06	NUM
ajst-20198	126	4	1.59863e+01	1.59863e+01	NUM
ajst-20198	126	5	1.9552e-01	1.9552e-01	NUM
ajst-20198	126	6	2.9499e-01	2.9499e-01	NUM
ajst-20198	126	7	f	f	NOUN
ajst-20198	126	8	x	x	PRON
ajst-20198	126	9	mean	mean	VERB
ajst-20198	126	10	3.58488e+01	3.58488e+01	PROPN
ajst-20198	127	1	1.06552e+01	1.06552e+01	NUM
ajst-20198	127	2	4.0499e-01	4.0499e-01	NUM
ajst-20198	127	3	6.5580e-01	6.5580e-01	NUM
ajst-20198	127	4	std	std	NOUN
ajst-20198	127	5	8.31680e+00	8.31680e+00	NUM
ajst-20198	127	6	4.36604e+00	4.36604e+00	NUM
ajst-20198	127	7	1.8465e-03	1.8465e-03	NUM
ajst-20198	127	8	1.4393e-03	1.4393e-03	NUM
ajst-20198	127	9	f	f	NOUN
ajst-20198	127	10	x	x	NOUN
ajst-20198	127	11	mean	mean	NOUN
ajst-20198	127	12	3.31712e+06	3.31712e+06	NUM
ajst-20198	127	13	2.81164e+01	2.81164e+01	NUM
ajst-20198	127	14	5.2637e-01	5.2637e-01	NUM
ajst-20198	127	15	3.7003e+02	3.7003e+02	NUM
ajst-20198	127	16	std	std	NOUN
ajst-20198	127	17	7.41495e+11	7.41495e+11	VERB
ajst-20198	127	18	3.68310e+02	3.68310e+02	PROPN
ajst-20198	127	19	2.0322e-02	2.0322e-02	NUM
ajst-20198	127	20	1.4062e+03	1.4062e+03	NUM
ajst-20198	127	21	f	f	NOUN
ajst-20198	127	22	x	x	PRON
ajst-20198	127	23	mean	mean	VERB
ajst-20198	128	1	7.15686e+03	7.15686e+03	NUM
ajst-20198	128	2	8.07189e-12	8.07189e-12	NUM
ajst-20198	128	3	6.08095e-01	6.08095e-01	NUM
ajst-20198	128	4	3.1273e+00	3.1273e+00	NUM
ajst-20198	128	5	std	std	NOUN
ajst-20198	128	6	1.38309e+06	1.38309e+06	NUM
ajst-20198	128	7	1.26931e-21	1.26931e-21	NUM
ajst-20198	128	8	9.70426e-03	9.70426e-03	NUM
ajst-20198	128	9	5.1356e-02	5.1356e-02	NUM
ajst-20198	128	10	f	f	NOUN
ajst-20198	128	11	x	x	PRON
ajst-20198	128	12	mean	mean	VERB
ajst-20198	128	13	2.75649e+00	2.75649e+00	NUM
ajst-20198	128	14	3.31727e-01	3.31727e-01	NUM
ajst-20198	128	15	1.55748e-01	1.55748e-01	NUM
ajst-20198	128	16	1.0920e+01	1.0920e+01	NUM
ajst-20198	128	17	std	std	NOUN
ajst-20198	128	18	1.52481e-01	1.52481e-01	NUM
ajst-20198	128	19	8.93019e-03	8.93019e-03	NUM
ajst-20198	128	20	9.97981e-04	9.97981e-04	NUM
ajst-20198	128	21	2.7477e+00	2.7477e+00	NUM
ajst-20198	128	22	𝐹	𝐹	NOUN
ajst-20198	129	1	𝑥	𝑥	PRON
ajst-20198	129	2	mean	mean	VERB
ajst-20198	129	3	1.40078e+02	1.40078e+02	NUM
ajst-20198	129	4	1.22279e+01	1.22279e+01	NUM
ajst-20198	129	5	4.27201e+01	4.27201e+01	NUM
ajst-20198	129	6	1.8838e+02	1.8838e+02	NUM
ajst-20198	129	7	std	std	VERB
ajst-20198	129	8	7.33128e+01	7.33128e+01	NUM
ajst-20198	129	9	3.92991e+00	3.92991e+00	NUM
ajst-20198	129	10	4.74940e+01	4.74940e+01	NUM
ajst-20198	129	11	1.2603e+02	1.2603e+02	NUM
ajst-20198	129	12	𝐹	𝐹	NOUN
ajst-20198	130	1	𝑥	𝑥	PRON
ajst-20198	130	2	mean	mean	VERB
ajst-20198	130	3	1.40515e+01	1.40515e+01	NUM
ajst-20198	130	4	7.04206e-07	7.04206e-07	NUM
ajst-20198	130	5	1.59951e+00	1.59951e+00	NUM
ajst-20198	130	6	2.9700e+00	2.9700e+00	NUM
ajst-20198	130	7	std	std	NOUN
ajst-20198	130	8	2.81215e-01	2.81215e-01	NUM
ajst-20198	130	9	4.60463e-12	4.60463e-12	NUM
ajst-20198	130	10	2.80632e-02	2.80632e-02	NUM
ajst-20198	130	11	1.8230e-02	1.8230e-02	NUM
ajst-20198	130	12	𝐹	𝐹	PRON
ajst-20198	131	1	𝑥	𝑥	PRON
ajst-20198	131	2	mean	mean	VERB
ajst-20198	131	3	6.69868e+01	6.69868e+01	NUM
ajst-20198	131	4	1.04419e-12	1.04419e-12	NUM
ajst-20198	131	5	3.31032e-02	3.31032e-02	NUM
ajst-20198	131	6	1.5080e-01	1.5080e-01	NUM
ajst-20198	131	7	std	std	NOUN
ajst-20198	131	8	1.11385e+02	1.11385e+02	NUM
ajst-20198	131	9	9.52328e-24	9.52328e-24	NUM
ajst-20198	131	10	2.07988e-05	2.07988e-05	NUM
ajst-20198	131	11	2.1080e-04	2.1080e-04	NUM
ajst-20198	131	12	𝐹	𝐹	PRON
ajst-20198	132	1	𝑥	𝑥	PRON
ajst-20198	132	2	mean	mean	VERB
ajst-20198	132	3	2.36775e+05	2.36775e+05	NUM
ajst-20198	132	4	2.58009e-08	2.58009e-08	NUM
ajst-20198	132	5	2.65789e-02	2.65789e-02	NUM
ajst-20198	132	6	1.1030e+01	1.1030e+01	NUM
ajst-20198	132	7	std	std	NOUN
ajst-20198	132	8	1.06020e+10	1.06020e+10	NUM
ajst-20198	132	9	1.18660e-14	1.18660e-14	NUM
ajst-20198	132	10	2.70534e-05	2.70534e-05	NUM
ajst-20198	132	11	1.8471e+00	1.8471e+00	NUM
ajst-20198	132	12	𝐹	𝐹	NOUN
ajst-20198	132	13	𝑥	𝑥	PRON
ajst-20198	132	14	mean	mean	VERB
ajst-20198	132	15	6.83287e+06	6.83287e+06	NUM
ajst-20198	132	16	2.61707e-04	2.61707e-04	NUM
ajst-20198	132	17	4.99101e-01	4.99101e-01	NUM
ajst-20198	132	18	4.7660e-01	4.7660e-01	NUM
ajst-20198	132	19	std	std	VERB
ajst-20198	132	20	2.43027e+13	2.43027e+13	NUM
ajst-20198	132	21	5.81193e-07	5.81193e-07	NUM
ajst-20198	132	22	9.45255e-03	9.45255e-03	NUM
ajst-20198	133	1	1.7206e-03	1.7206e-03	NUM
ajst-20198	133	2	𝐹	𝐹	NOUN
ajst-20198	134	1	𝑥	𝑥	INTJ
ajst-20198	134	2	mean	mean	VERB
ajst-20198	135	1	1.0489e+00	1.0489e+00	NUM
ajst-20198	135	2	9.98004e-01	9.98004e-01	NUM
ajst-20198	135	3	1.26705e+01	1.26705e+01	NUM
ajst-20198	135	4	1.0311e+00	1.0311e+00	NUM
ajst-20198	135	5	std	std	NOUN
ajst-20198	135	6	4.02780e-02	4.02780e-02	NUM
ajst-20198	135	7	0	0	NUM
ajst-20198	135	8	0	0	NUM
ajst-20198	136	1	3.2936e-02	3.2936e-02	NUM
ajst-20198	136	2	𝐹	𝐹	NOUN
ajst-20198	137	1	𝑥	𝑥	PRON
ajst-20198	137	2	mean	mean	VERB
ajst-20198	138	1	6.28932e-04	6.28932e-04	NUM
ajst-20198	138	2	4.2898e-04	4.2898e-04	NUM
ajst-20198	138	3	3.07487e-04	3.07487e-04	NUM
ajst-20198	138	4	4.4827e-04	4.4827e-04	PROPN
ajst-20198	138	5	std	std	VERB
ajst-20198	138	6	6.76832e-08	6.76832e-08	NUM
ajst-20198	138	7	6.32091e-09	6.32091e-09	NUM
ajst-20198	138	8	0	0	NUM
ajst-20198	138	9	4.19197e-09	4.19197e-09	NUM
ajst-20198	139	1	𝐹	𝐹	NOUN
ajst-20198	140	1	𝑥	𝑥	INTJ
ajst-20198	140	2	mean	mean	VERB
ajst-20198	140	3	-1.031628e+00	-1.031628e+00	PROPN
ajst-20198	140	4	-1.031628e+00	-1.031628e+00	PROPN
ajst-20198	140	5	-1.031628e+00	-1.031628e+00	PROPN
ajst-20198	140	6	-1.031627e+00	-1.031627e+00	PROPN
ajst-20198	140	7	std	std	VERB
ajst-20198	140	8	0	0	NUM
ajst-20198	140	9	0	0	NUM
ajst-20198	140	10	0	0	NUM
ajst-20198	140	11	1.55417e-12	1.55417e-12	NUM
ajst-20198	140	12	𝐹	𝐹	NOUN
ajst-20198	140	13	𝑥	𝑥	PRON
ajst-20198	140	14	mean	mean	VERB
ajst-20198	140	15	2.9999e+00	2.9999e+00	NUM
ajst-20198	140	16	2.9999e+00	2.9999e+00	NUM
ajst-20198	140	17	2.9999e+00	2.9999e+00	NUM
ajst-20198	140	18	3.0001e+00	3.0001e+00	NUM
ajst-20198	140	19	std	std	VERB
ajst-20198	140	20	3.2915e-30	3.2915e-30	NUM
ajst-20198	140	21	0	0	NUM
ajst-20198	140	22	0	0	NUM
ajst-20198	140	23	2.4440e-09	2.4440e-09	NUM
ajst-20198	140	24	the	the	DET
ajst-20198	140	25	following	following	NOUN
ajst-20198	140	26	is	be	AUX
ajst-20198	140	27	a	a	DET
ajst-20198	140	28	statistical	statistical	ADJ
ajst-20198	140	29	chart	chart	NOUN
ajst-20198	140	30	of	of	ADP
ajst-20198	140	31	the	the	DET
ajst-20198	140	32	number	number	NOUN
ajst-20198	140	33	of	of	ADP
ajst-20198	140	34	times	time	NOUN
ajst-20198	140	35	the	the	DET
ajst-20198	140	36	four	four	NUM
ajst-20198	140	37	algorithms	algorithm	NOUN
ajst-20198	140	38	achieve	achieve	VERB
ajst-20198	140	39	the	the	DET
ajst-20198	140	40	optimal	optimal	ADJ
ajst-20198	140	41	mean	mean	NOUN
ajst-20198	140	42	and	and	CCONJ
ajst-20198	140	43	standard	standard	ADJ
ajst-20198	140	44	deviation	deviation	NOUN
ajst-20198	140	45	in	in	ADP
ajst-20198	140	46	solving	solve	VERB
ajst-20198	140	47	the	the	DET
ajst-20198	140	48	above	above	ADJ
ajst-20198	140	49	16	16	NUM
ajst-20198	140	50	functions	function	NOUN
ajst-20198	140	51	,	,	PUNCT
ajst-20198	140	52	as	as	SCONJ
ajst-20198	140	53	shown	show	VERB
ajst-20198	140	54	in	in	ADP
ajst-20198	140	55	figure	figure	NOUN
ajst-20198	140	56	1	1	NUM
ajst-20198	140	57	.	.	PUNCT
ajst-20198	141	1	among	among	ADP
ajst-20198	141	2	them	they	PRON
ajst-20198	141	3	,	,	PUNCT
ajst-20198	141	4	the	the	DET
ajst-20198	141	5	hcoa	hcoa	NOUN
ajst-20198	141	6	-	-	PUNCT
ajst-20198	141	7	cs	cs	PROPN
ajst-20198	141	8	algorithm	algorithm	NOUN
ajst-20198	141	9	's	's	PART
ajst-20198	141	10	solution	solution	NOUN
ajst-20198	141	11	results	result	NOUN
ajst-20198	141	12	are	be	AUX
ajst-20198	141	13	mostly	mostly	ADV
ajst-20198	141	14	optimal	optimal	ADJ
ajst-20198	141	15	,	,	PUNCT
ajst-20198	141	16	and	and	CCONJ
ajst-20198	141	17	the	the	DET
ajst-20198	141	18	stability	stability	NOUN
ajst-20198	141	19	is	be	AUX
ajst-20198	141	20	strong	strong	ADJ
ajst-20198	141	21	,	,	PUNCT
ajst-20198	141	22	indicating	indicate	VERB
ajst-20198	141	23	that	that	SCONJ
ajst-20198	141	24	the	the	DET
ajst-20198	141	25	improvement	improvement	NOUN
ajst-20198	141	26	of	of	ADP
ajst-20198	141	27	the	the	DET
ajst-20198	141	28	crab	crab	NOUN
ajst-20198	141	29	algorithm	algorithm	NOUN
ajst-20198	141	30	with	with	ADP
ajst-20198	141	31	chaos	chaos	NOUN
ajst-20198	141	32	algorithm	algorithm	NOUN
ajst-20198	141	33	has	have	VERB
ajst-20198	141	34	a	a	DET
ajst-20198	141	35	certain	certain	ADJ
ajst-20198	141	36	effect	effect	NOUN
ajst-20198	141	37	.	.	PUNCT
ajst-20198	142	1	figure	figure	VERB
ajst-20198	142	2	1	1	NUM
ajst-20198	142	3	.	.	NOUN
ajst-20198	142	4	proportion	proportion	NOUN
ajst-20198	142	5	of	of	ADP
ajst-20198	142	6	optimal	optimal	ADJ
ajst-20198	142	7	mean	mean	NOUN
ajst-20198	142	8	and	and	CCONJ
ajst-20198	142	9	standard	standard	ADJ
ajst-20198	142	10	deviation	deviation	NOUN
ajst-20198	142	11	achieved	achieve	VERB
ajst-20198	142	12	by	by	ADP
ajst-20198	142	13	four	four	NUM
ajst-20198	142	14	algorithms	algorithm	NOUN
ajst-20198	142	15	0	0	NUM
ajst-20198	142	16	%	%	NOUN
ajst-20198	142	17	10	10	NUM
ajst-20198	142	18	%	%	NOUN
ajst-20198	142	19	20	20	NUM
ajst-20198	142	20	%	%	NOUN
ajst-20198	142	21	30	30	NUM
ajst-20198	142	22	%	%	NOUN
ajst-20198	142	23	40	40	NUM
ajst-20198	142	24	%	%	NOUN
ajst-20198	142	25	50	50	NUM
ajst-20198	142	26	%	%	NOUN
ajst-20198	142	27	60	60	NUM
ajst-20198	142	28	%	%	NOUN
ajst-20198	142	29	70	70	NUM
ajst-20198	142	30	%	%	NOUN
ajst-20198	142	31	80	80	NUM
ajst-20198	142	32	%	%	NOUN
ajst-20198	142	33	90	90	NUM
ajst-20198	142	34	%	%	NOUN
ajst-20198	142	35	100	100	NUM
ajst-20198	142	36	%	%	NOUN
ajst-20198	142	37	mean	mean	NOUN
ajst-20198	142	38	std	std	NOUN
ajst-20198	142	39	hcoa	hcoa	NOUN
ajst-20198	142	40	118	118	NUM
ajst-20198	142	41	to	to	PART
ajst-20198	142	42	more	more	ADV
ajst-20198	142	43	intuitively	intuitively	ADV
ajst-20198	142	44	reflect	reflect	VERB
ajst-20198	142	45	the	the	DET
ajst-20198	142	46	superiority	superiority	NOUN
ajst-20198	142	47	of	of	ADP
ajst-20198	142	48	the	the	DET
ajst-20198	142	49	hcoa	hcoa	NOUN
ajst-20198	142	50	-	-	PUNCT
ajst-20198	142	51	cs	cs	PROPN
ajst-20198	142	52	algorithm	algorithm	NOUN
ajst-20198	142	53	,	,	PUNCT
ajst-20198	142	54	the	the	DET
ajst-20198	142	55	following	follow	VERB
ajst-20198	142	56	are	be	AUX
ajst-20198	142	57	some	some	DET
ajst-20198	142	58	convergence	convergence	NOUN
ajst-20198	142	59	diagrams	diagram	NOUN
ajst-20198	142	60	of	of	ADP
ajst-20198	142	61	pso	pso	NOUN
ajst-20198	142	62	,	,	PUNCT
ajst-20198	142	63	ba	ba	PROPN
ajst-20198	142	64	,	,	PUNCT
ajst-20198	142	65	and	and	CCONJ
ajst-20198	142	66	hcoa	hcoa	NOUN
ajst-20198	142	67	algorithms	algorithm	NOUN
ajst-20198	142	68	in	in	ADP
ajst-20198	142	69	solving	solve	VERB
ajst-20198	142	70	the	the	DET
ajst-20198	142	71	above	above	ADJ
ajst-20198	142	72	partial	partial	ADJ
ajst-20198	142	73	test	test	NOUN
ajst-20198	142	74	functions	function	NOUN
ajst-20198	142	75	under	under	ADP
ajst-20198	142	76	1000	1000	NUM
ajst-20198	142	77	iterations	iteration	NOUN
ajst-20198	142	78	,	,	PUNCT
ajst-20198	142	79	as	as	SCONJ
ajst-20198	142	80	shown	show	VERB
ajst-20198	142	81	in	in	ADP
ajst-20198	142	82	the	the	DET
ajst-20198	142	83	figure2	figure2	NOUN
ajst-20198	142	84	below.the	below.the	DET
ajst-20198	142	85	horizontal	horizontal	ADJ
ajst-20198	142	86	axis	axis	NOUN
ajst-20198	142	87	of	of	ADP
ajst-20198	142	88	all	all	DET
ajst-20198	142	89	the	the	DET
ajst-20198	142	90	following	follow	VERB
ajst-20198	142	91	figures	figure	NOUN
ajst-20198	142	92	represents	represent	VERB
ajst-20198	142	93	the	the	DET
ajst-20198	142	94	number	number	NOUN
ajst-20198	142	95	of	of	ADP
ajst-20198	142	96	iterations	iteration	NOUN
ajst-20198	142	97	,	,	PUNCT
ajst-20198	142	98	and	and	CCONJ
ajst-20198	142	99	the	the	DET
ajst-20198	142	100	vertical	vertical	ADJ
ajst-20198	142	101	axis	axis	NOUN
ajst-20198	142	102	represents	represent	VERB
ajst-20198	142	103	the	the	DET
ajst-20198	142	104	convergence	convergence	NOUN
ajst-20198	142	105	value	value	NOUN
ajst-20198	142	106	.	.	PUNCT
ajst-20198	143	1	the	the	DET
ajst-20198	143	2	convergence	convergence	NOUN
ajst-20198	143	3	curves	curve	NOUN
ajst-20198	143	4	of	of	ADP
ajst-20198	143	5	four	four	NUM
ajst-20198	143	6	different	different	ADJ
ajst-20198	143	7	algorithms	algorithm	NOUN
ajst-20198	143	8	are	be	AUX
ajst-20198	143	9	displayed	display	VERB
ajst-20198	143	10	.	.	PUNCT
ajst-20198	144	1	f1	f1	PROPN
ajst-20198	144	2	f2	f2	PROPN
ajst-20198	144	3	f3	f3	VERB
ajst-20198	144	4	f4	f4	NUM
ajst-20198	144	5	f5	f5	PROPN
ajst-20198	144	6	f6	f6	PROPN
ajst-20198	144	7	f8	f8	PROPN
ajst-20198	144	8	f9	f9	PROPN
ajst-20198	144	9	119	119	NUM
ajst-20198	144	10	f10	f10	NOUN
ajst-20198	144	11	f11	f11	PROPN
ajst-20198	144	12	figure	figure	NOUN
ajst-20198	144	13	1	1	NUM
ajst-20198	144	14	.	.	PUNCT
ajst-20198	144	15	partial	partial	ADJ
ajst-20198	144	16	test	test	NOUN
ajst-20198	144	17	function	function	NOUN
ajst-20198	144	18	convergence	convergence	NOUN
ajst-20198	144	19	result	result	VERB
ajst-20198	144	20	3	3	NUM
ajst-20198	144	21	.	.	X
ajst-20198	144	22	application	application	NOUN
ajst-20198	144	23	of	of	ADP
ajst-20198	144	24	improved	improved	ADJ
ajst-20198	144	25	crab	crab	NOUN
ajst-20198	144	26	algorithm	algorithm	NOUN
ajst-20198	144	27	in	in	ADP
ajst-20198	144	28	identification	identification	NOUN
ajst-20198	144	29	of	of	ADP
ajst-20198	144	30	fresnel	fresnel	ADJ
ajst-20198	144	31	refractive	refractive	ADJ
ajst-20198	144	32	index	index	NOUN
ajst-20198	144	33	parameters	parameter	NOUN
ajst-20198	144	34	3.1	3.1	NUM
ajst-20198	144	35	.	.	PUNCT
ajst-20198	144	36	fresnel	fresnel	PROPN
ajst-20198	144	37	formula	formula	NOUN
ajst-20198	144	38	𝑟	𝑟	X
ajst-20198	144	39	𝑛	𝑛	PROPN
ajst-20198	144	40	cos	cos	PROPN
ajst-20198	144	41	𝜃	𝜃	X
ajst-20198	144	42	𝑛	𝑛	NOUN
ajst-20198	144	43	cos	cos	ADP
ajst-20198	144	44	𝜃	𝜃	NOUN
ajst-20198	144	45	𝑛	𝑛	NOUN
ajst-20198	144	46	cos	cos	ADP
ajst-20198	144	47	𝜃	𝜃	NOUN
ajst-20198	144	48	𝑛	𝑛	NOUN
ajst-20198	144	49	cos	cos	ADP
ajst-20198	144	50	𝜃	𝜃	NOUN
ajst-20198	144	51	𝑟	𝑟	X
ajst-20198	144	52	𝑛	𝑛	PROPN
ajst-20198	144	53	cos	cos	PROPN
ajst-20198	144	54	𝜃	𝜃	X
ajst-20198	144	55	𝑛	𝑛	NOUN
ajst-20198	144	56	cos	cos	ADP
ajst-20198	144	57	𝜃	𝜃	NOUN
ajst-20198	144	58	𝑛	𝑛	NOUN
ajst-20198	144	59	cos	cos	ADP
ajst-20198	144	60	𝜃	𝜃	NOUN
ajst-20198	144	61	𝑛	𝑛	NOUN
ajst-20198	144	62	cos	cos	ADP
ajst-20198	144	63	𝜃	𝜃	PROPN
ajst-20198	144	64	𝑡	𝑡	PROPN
ajst-20198	144	65	2𝑛	2𝑛	PROPN
ajst-20198	144	66	cos	cos	PROPN
ajst-20198	144	67	𝜃	𝜃	PROPN
ajst-20198	144	68	𝑛	𝑛	VERB
ajst-20198	144	69	cos	cos	ADP
ajst-20198	144	70	𝜃	𝜃	NOUN
ajst-20198	144	71	𝑛	𝑛	NOUN
ajst-20198	144	72	cos	cos	ADP
ajst-20198	144	73	𝜃	𝜃	PROPN
ajst-20198	144	74	𝑡	𝑡	PROPN
ajst-20198	144	75	2𝑛	2𝑛	PROPN
ajst-20198	144	76	cos	cos	PROPN
ajst-20198	144	77	𝜃	𝜃	PROPN
ajst-20198	144	78	𝑛	𝑛	VERB
ajst-20198	144	79	cos	cos	ADP
ajst-20198	144	80	𝜃	𝜃	NOUN
ajst-20198	144	81	𝑛	𝑛	NOUN
ajst-20198	144	82	cos	cos	ADP
ajst-20198	144	83	𝜃	𝜃	NUM
ajst-20198	144	84	when	when	SCONJ
ajst-20198	144	85	the	the	DET
ajst-20198	144	86	reflected	reflect	VERB
ajst-20198	144	87	light	light	ADJ
ajst-20198	144	88	wave	wave	NOUN
ajst-20198	144	89	only	only	ADV
ajst-20198	144	90	contains	contain	VERB
ajst-20198	144	91	the	the	DET
ajst-20198	144	92	component	component	NOUN
ajst-20198	144	93	perpendicular	perpendicular	NOUN
ajst-20198	144	94	to	to	ADP
ajst-20198	144	95	the	the	DET
ajst-20198	144	96	incident	incident	NOUN
ajst-20198	144	97	plane	plane	NOUN
ajst-20198	144	98	,	,	PUNCT
ajst-20198	144	99	i.e.	i.e.	X
ajst-20198	144	100	,	,	PUNCT
ajst-20198	144	101	the	the	DET
ajst-20198	144	102	s	s	NOUN
ajst-20198	144	103	wave	wave	NOUN
ajst-20198	144	104	,	,	PUNCT
ajst-20198	144	105	with	with	ADP
ajst-20198	144	106	θ	θ	PROPN
ajst-20198	144	107	θ	θ	PROPN
ajst-20198	144	108	,	,	PUNCT
ajst-20198	144	109	we	we	PRON
ajst-20198	144	110	call	call	VERB
ajst-20198	144	111	θ	θ	PROPN
ajst-20198	144	112	the	the	DET
ajst-20198	144	113	brewster	brewster	NOUN
ajst-20198	144	114	angle	angle	NOUN
ajst-20198	144	115	.	.	PUNCT
ajst-20198	145	1	in	in	ADP
ajst-20198	145	2	this	this	DET
ajst-20198	145	3	case	case	NOUN
ajst-20198	145	4	,	,	PUNCT
ajst-20198	145	5	the	the	DET
ajst-20198	145	6	reflected	reflect	VERB
ajst-20198	145	7	light	light	ADJ
ajst-20198	145	8	wave	wave	NOUN
ajst-20198	145	9	only	only	ADV
ajst-20198	145	10	contains	contain	VERB
ajst-20198	145	11	s	s	PART
ajst-20198	145	12	-	-	PUNCT
ajst-20198	145	13	polarized	polarize	VERB
ajst-20198	145	14	light	light	NOUN
ajst-20198	145	15	,	,	PUNCT
ajst-20198	145	16	with	with	ADP
ajst-20198	145	17	r	r	NOUN
ajst-20198	145	18	=	=	SYM
ajst-20198	145	19	0	0	NUM
ajst-20198	145	20	.	.	PUNCT
ajst-20198	146	1	when	when	SCONJ
ajst-20198	146	2	θ	θ	PROPN
ajst-20198	146	3	is	be	AUX
ajst-20198	146	4	the	the	DET
ajst-20198	146	5	brewster	brewster	NOUN
ajst-20198	146	6	angle	angle	NOUN
ajst-20198	146	7	,	,	PUNCT
ajst-20198	146	8	θ	θ	PROPN
ajst-20198	146	9	θ	θ	NOUN
ajst-20198	146	10	,	,	PUNCT
ajst-20198	146	11	and	and	CCONJ
ajst-20198	146	12	it	it	PRON
ajst-20198	146	13	is	be	AUX
ajst-20198	146	14	known	know	VERB
ajst-20198	146	15	that	that	SCONJ
ajst-20198	146	16	sin	sin	NOUN
ajst-20198	146	17	θ	θ	PROPN
ajst-20198	146	18	cos	cos	PROPN
ajst-20198	146	19	θ	θ	PROPN
ajst-20198	146	20	=	=	PROPN
ajst-20198	146	21	1	1	NUM
ajst-20198	146	22	.	.	PUNCT
ajst-20198	147	1	these	these	DET
ajst-20198	147	2	two	two	NUM
ajst-20198	147	3	formulas	formula	NOUN
ajst-20198	147	4	can	can	AUX
ajst-20198	147	5	be	be	AUX
ajst-20198	147	6	substituted	substitute	VERB
ajst-20198	147	7	into	into	ADP
ajst-20198	147	8	a	a	DET
ajst-20198	147	9	certain	certain	ADJ
ajst-20198	147	10	formula	formula	NOUN
ajst-20198	147	11	.	.	PUNCT
ajst-20198	148	1	r	r	NOUN
ajst-20198	148	2	,	,	PUNCT
ajst-20198	148	3	and	and	CCONJ
ajst-20198	148	4	the	the	DET
ajst-20198	148	5	results	result	NOUN
ajst-20198	148	6	are	be	AUX
ajst-20198	148	7	obtained	obtain	VERB
ajst-20198	148	8	r	r	NOUN
ajst-20198	148	9	r	r	NOUN
ajst-20198	148	10	in	in	ADP
ajst-20198	148	11	this	this	DET
ajst-20198	148	12	context	context	NOUN
ajst-20198	148	13	,	,	PUNCT
ajst-20198	148	14	𝑟	𝑟	PRON
ajst-20198	148	15	represents	represent	VERB
ajst-20198	148	16	the	the	DET
ajst-20198	148	17	amplitude	amplitude	NOUN
ajst-20198	148	18	reflectivity	reflectivity	NOUN
ajst-20198	148	19	of	of	ADP
ajst-20198	148	20	the	the	DET
ajst-20198	148	21	p	p	NOUN
ajst-20198	148	22	-	-	PUNCT
ajst-20198	148	23	component	component	NOUN
ajst-20198	148	24	when	when	SCONJ
ajst-20198	148	25	the	the	DET
ajst-20198	148	26	incident	incident	NOUN
ajst-20198	148	27	angle	angle	NOUN
ajst-20198	148	28	is	be	AUX
ajst-20198	148	29	𝜃	𝜃	NOUN
ajst-20198	148	30	,	,	PUNCT
ajst-20198	148	31	and	and	CCONJ
ajst-20198	148	32	𝑟	𝑟	PRON
ajst-20198	148	33	represents	represent	VERB
ajst-20198	148	34	the	the	DET
ajst-20198	148	35	amplitude	amplitude	NOUN
ajst-20198	148	36	reflectivity	reflectivity	NOUN
ajst-20198	148	37	of	of	ADP
ajst-20198	148	38	the	the	DET
ajst-20198	148	39	s	s	NOUN
ajst-20198	148	40	-	-	NOUN
ajst-20198	148	41	component	component	NOUN
ajst-20198	148	42	when	when	SCONJ
ajst-20198	148	43	the	the	DET
ajst-20198	148	44	incident	incident	NOUN
ajst-20198	148	45	angle	angle	NOUN
ajst-20198	148	46	is	be	AUX
ajst-20198	148	47	𝜃	𝜃	NOUN
ajst-20198	148	48	.	.	PUNCT
ajst-20198	149	1	additionally	additionally	ADV
ajst-20198	149	2	,	,	PUNCT
ajst-20198	149	3	𝑛1	𝑛1	NOUN
ajst-20198	149	4	and	and	CCONJ
ajst-20198	149	5	𝑛2	𝑛2	NOUN
ajst-20198	149	6	represent	represent	VERB
ajst-20198	149	7	the	the	DET
ajst-20198	149	8	refractive	refractive	ADJ
ajst-20198	149	9	indices	index	NOUN
ajst-20198	149	10	of	of	ADP
ajst-20198	149	11	the	the	DET
ajst-20198	149	12	media	medium	NOUN
ajst-20198	149	13	.	.	PUNCT
ajst-20198	150	1	3.2	3.2	NUM
ajst-20198	150	2	.	.	PUNCT
ajst-20198	150	3	apply	apply	VERB
ajst-20198	150	4	the	the	DET
ajst-20198	150	5	improved	improved	ADJ
ajst-20198	150	6	hermit	hermit	ADJ
ajst-20198	150	7	crab	crab	NOUN
ajst-20198	150	8	algorithm	algorithm	NOUN
ajst-20198	150	9	to	to	ADP
ajst-20198	150	10	the	the	DET
ajst-20198	150	11	identification	identification	NOUN
ajst-20198	150	12	problem	problem	NOUN
ajst-20198	150	13	of	of	ADP
ajst-20198	150	14	fresnel	fresnel	ADJ
ajst-20198	150	15	refractive	refractive	ADJ
ajst-20198	150	16	index	index	NOUN
ajst-20198	150	17	parameters	parameter	NOUN
ajst-20198	150	18	.	.	PUNCT
ajst-20198	151	1	(	(	PUNCT
ajst-20198	151	2	1	1	X
ajst-20198	151	3	)	)	PUNCT
ajst-20198	151	4	the	the	DET
ajst-20198	151	5	steps	step	NOUN
ajst-20198	151	6	for	for	ADP
ajst-20198	151	7	applying	apply	VERB
ajst-20198	151	8	the	the	DET
ajst-20198	151	9	improved	improved	ADJ
ajst-20198	151	10	algorithm	algorithm	NOUN
ajst-20198	151	11	to	to	PART
ajst-20198	151	12	parameter	parameter	NOUN
ajst-20198	151	13	identification	identification	NOUN
ajst-20198	151	14	problems	problem	NOUN
ajst-20198	151	15	are	be	AUX
ajst-20198	151	16	as	as	SCONJ
ajst-20198	151	17	follows	follow	VERB
ajst-20198	151	18	:	:	PUNCT
ajst-20198	151	19	through	through	ADP
ajst-20198	151	20	various	various	ADJ
ajst-20198	151	21	experimental	experimental	ADJ
ajst-20198	151	22	data	datum	NOUN
ajst-20198	151	23	,	,	PUNCT
ajst-20198	151	24	the	the	DET
ajst-20198	151	25	refractive	refractive	ADJ
ajst-20198	151	26	index	index	NOUN
ajst-20198	151	27	of	of	ADP
ajst-20198	151	28	a	a	DET
ajst-20198	151	29	specific	specific	ADJ
ajst-20198	151	30	medium	medium	NOUN
ajst-20198	151	31	and	and	CCONJ
ajst-20198	151	32	the	the	DET
ajst-20198	151	33	corresponding	corresponding	ADJ
ajst-20198	151	34	incident	incident	NOUN
ajst-20198	151	35	angle	angle	NOUN
ajst-20198	151	36	are	be	AUX
ajst-20198	151	37	known	know	VERB
ajst-20198	151	38	,	,	PUNCT
ajst-20198	151	39	and	and	CCONJ
ajst-20198	151	40	the	the	DET
ajst-20198	151	41	specific	specific	ADJ
ajst-20198	151	42	data	datum	NOUN
ajst-20198	151	43	are	be	AUX
ajst-20198	151	44	added	add	VERB
ajst-20198	151	45	to	to	ADP
ajst-20198	151	46	the	the	DET
ajst-20198	151	47	algorithm	algorithm	NOUN
ajst-20198	151	48	.	.	PUNCT
ajst-20198	152	1	(	(	PUNCT
ajst-20198	152	2	2	2	X
ajst-20198	152	3	)	)	PUNCT
ajst-20198	152	4	define	define	VERB
ajst-20198	152	5	the	the	DET
ajst-20198	152	6	loss	loss	NOUN
ajst-20198	152	7	function	function	NOUN
ajst-20198	152	8	as	as	ADP
ajst-20198	152	9	:	:	PUNCT
ajst-20198	152	10	f	f	PROPN
ajst-20198	152	11	0.5	0.5	NUM
ajst-20198	152	12	（	（	NUM
ajst-20198	152	13	rp_estimated	rp_estimate	VERB
ajst-20198	152	14	rp_true	rp_true	NOUN
ajst-20198	152	15	rs_estimated	rs_estimate	VERB
ajst-20198	152	16	rs_true	rs_true	X
ajst-20198	152	17	）	）	PUNCT
ajst-20198	153	1	in	in	ADP
ajst-20198	153	2	this	this	DET
ajst-20198	153	3	context	context	NOUN
ajst-20198	153	4	,	,	PUNCT
ajst-20198	153	5	rp_estimated	rp_estimate	VERB
ajst-20198	153	6	represents	represent	VERB
ajst-20198	153	7	the	the	DET
ajst-20198	153	8	amplitude	amplitude	NOUN
ajst-20198	153	9	reflectivity	reflectivity	NOUN
ajst-20198	153	10	of	of	ADP
ajst-20198	153	11	the	the	DET
ajst-20198	153	12	p	p	NOUN
ajst-20198	153	13	-	-	PUNCT
ajst-20198	153	14	component	component	NOUN
ajst-20198	153	15	calculated	calculate	VERB
ajst-20198	153	16	by	by	ADP
ajst-20198	153	17	the	the	DET
ajst-20198	153	18	algorithm	algorithm	NOUN
ajst-20198	153	19	optimization	optimization	NOUN
ajst-20198	153	20	,	,	PUNCT
ajst-20198	153	21	while	while	SCONJ
ajst-20198	153	22	rp_true	rp_true	NOUN
ajst-20198	153	23	is	be	AUX
ajst-20198	153	24	the	the	DET
ajst-20198	153	25	amplitude	amplitude	NOUN
ajst-20198	153	26	reflectivity	reflectivity	NOUN
ajst-20198	153	27	of	of	ADP
ajst-20198	153	28	the	the	DET
ajst-20198	153	29	p	p	NOUN
ajst-20198	153	30	-	-	PUNCT
ajst-20198	153	31	component	component	NOUN
ajst-20198	153	32	obtained	obtain	VERB
ajst-20198	153	33	by	by	ADP
ajst-20198	153	34	substituting	substitute	VERB
ajst-20198	153	35	the	the	DET
ajst-20198	153	36	actual	actual	ADJ
ajst-20198	153	37	values	value	NOUN
ajst-20198	153	38	into	into	ADP
ajst-20198	153	39	the	the	DET
ajst-20198	153	40	formula	formula	NOUN
ajst-20198	153	41	.	.	PUNCT
ajst-20198	154	1	similarly	similarly	ADV
ajst-20198	154	2	,	,	PUNCT
ajst-20198	154	3	rp_estimated	rp_estimate	VERB
ajst-20198	154	4	represents	represent	VERB
ajst-20198	154	5	the	the	DET
ajst-20198	154	6	120	120	NUM
ajst-20198	154	7	amplitude	amplitude	NOUN
ajst-20198	154	8	reflectivity	reflectivity	NOUN
ajst-20198	154	9	of	of	ADP
ajst-20198	154	10	the	the	DET
ajst-20198	154	11	s	s	NOUN
ajst-20198	154	12	-	-	PUNCT
ajst-20198	154	13	component	component	NOUN
ajst-20198	154	14	calculated	calculate	VERB
ajst-20198	154	15	by	by	ADP
ajst-20198	154	16	the	the	DET
ajst-20198	154	17	algorithm	algorithm	NOUN
ajst-20198	154	18	optimization	optimization	NOUN
ajst-20198	154	19	,	,	PUNCT
ajst-20198	154	20	and	and	CCONJ
ajst-20198	154	21	rp_true	rp_true	NOUN
ajst-20198	154	22	is	be	AUX
ajst-20198	154	23	also	also	ADV
ajst-20198	154	24	the	the	DET
ajst-20198	154	25	amplitude	amplitude	NOUN
ajst-20198	154	26	reflectivity	reflectivity	NOUN
ajst-20198	154	27	of	of	ADP
ajst-20198	154	28	the	the	DET
ajst-20198	154	29	s	s	NOUN
ajst-20198	154	30	-	-	NOUN
ajst-20198	154	31	component	component	NOUN
ajst-20198	154	32	derived	derive	VERB
ajst-20198	154	33	from	from	ADP
ajst-20198	154	34	the	the	DET
ajst-20198	154	35	formula	formula	NOUN
ajst-20198	154	36	with	with	ADP
ajst-20198	154	37	the	the	DET
ajst-20198	154	38	real	real	ADJ
ajst-20198	154	39	values	value	NOUN
ajst-20198	154	40	.	.	PUNCT
ajst-20198	155	1	(	(	PUNCT
ajst-20198	155	2	3	3	X
ajst-20198	155	3	)	)	PUNCT
ajst-20198	155	4	set	set	VERB
ajst-20198	155	5	the	the	DET
ajst-20198	155	6	dimension	dimension	NOUN
ajst-20198	155	7	of	of	ADP
ajst-20198	155	8	the	the	DET
ajst-20198	155	9	algorithm	algorithm	NOUN
ajst-20198	155	10	to	to	ADP
ajst-20198	155	11	2	2	NUM
ajst-20198	155	12	,	,	PUNCT
ajst-20198	155	13	and	and	CCONJ
ajst-20198	155	14	use	use	VERB
ajst-20198	155	15	the	the	DET
ajst-20198	155	16	improved	improve	VERB
ajst-20198	155	17	hermit	hermit	ADJ
ajst-20198	155	18	crab	crab	NOUN
ajst-20198	155	19	algorithm	algorithm	NOUN
ajst-20198	155	20	to	to	PART
ajst-20198	155	21	optimize	optimize	VERB
ajst-20198	155	22	the	the	DET
ajst-20198	155	23	fresnel	fresnel	PROPN
ajst-20198	155	24	refractive	refractive	ADJ
ajst-20198	155	25	index	index	NOUN
ajst-20198	155	26	.	.	PUNCT
ajst-20198	156	1	the	the	DET
ajst-20198	156	2	two	two	NUM
ajst-20198	156	3	values	value	NOUN
ajst-20198	156	4	corresponding	correspond	VERB
ajst-20198	156	5	to	to	ADP
ajst-20198	156	6	the	the	DET
ajst-20198	156	7	best_solution	best_solution	NOUN
ajst-20198	156	8	in	in	ADP
ajst-20198	156	9	the	the	DET
ajst-20198	156	10	algorithm	algorithm	NOUN
ajst-20198	156	11	code	code	NOUN
ajst-20198	156	12	represent	represent	VERB
ajst-20198	156	13	the	the	DET
ajst-20198	156	14	optimized	optimize	VERB
ajst-20198	156	15	𝑛1	𝑛1	ADJ
ajst-20198	156	16	and	and	CCONJ
ajst-20198	156	17	𝑛2	𝑛2	NOUN
ajst-20198	156	18	values	value	NOUN
ajst-20198	156	19	.	.	PUNCT
ajst-20198	157	1	the	the	DET
ajst-20198	157	2	fitness_value	fitness_value	PROPN
ajst-20198	157	3	obtained	obtain	VERB
ajst-20198	157	4	after	after	ADP
ajst-20198	157	5	optimization	optimization	NOUN
ajst-20198	157	6	is	be	AUX
ajst-20198	157	7	the	the	DET
ajst-20198	157	8	optimal	optimal	ADJ
ajst-20198	157	9	solution	solution	NOUN
ajst-20198	157	10	of	of	ADP
ajst-20198	157	11	the	the	DET
ajst-20198	157	12	defined	define	VERB
ajst-20198	157	13	loss	loss	NOUN
ajst-20198	157	14	function	function	NOUN
ajst-20198	157	15	when	when	SCONJ
ajst-20198	157	16	used	use	VERB
ajst-20198	157	17	as	as	ADP
ajst-20198	157	18	the	the	DET
ajst-20198	157	19	test	test	NOUN
ajst-20198	157	20	function	function	NOUN
ajst-20198	157	21	.	.	PUNCT
ajst-20198	158	1	(	(	PUNCT
ajst-20198	158	2	4	4	X
ajst-20198	158	3	)	)	PUNCT
ajst-20198	158	4	estimate	estimate	VERB
ajst-20198	158	5	the	the	DET
ajst-20198	158	6	refractive	refractive	ADJ
ajst-20198	158	7	indices	index	NOUN
ajst-20198	158	8	of	of	ADP
ajst-20198	158	9	the	the	DET
ajst-20198	158	10	media	medium	NOUN
ajst-20198	158	11	under	under	ADP
ajst-20198	158	12	three	three	NUM
ajst-20198	158	13	different	different	ADJ
ajst-20198	158	14	refraction	refraction	NOUN
ajst-20198	158	15	scenarios	scenario	NOUN
ajst-20198	158	16	.	.	PUNCT
ajst-20198	159	1	the	the	DET
ajst-20198	159	2	estimation	estimation	NOUN
ajst-20198	159	3	results	result	NOUN
ajst-20198	159	4	are	be	AUX
ajst-20198	159	5	shown	show	VERB
ajst-20198	159	6	in	in	ADP
ajst-20198	159	7	the	the	DET
ajst-20198	159	8	table3	table3	NOUN
ajst-20198	159	9	below	below	ADV
ajst-20198	159	10	.	.	PUNCT
ajst-20198	160	1	table	table	NOUN
ajst-20198	160	2	3	3	NUM
ajst-20198	160	3	.	.	PUNCT
ajst-20198	161	1	the	the	DET
ajst-20198	161	2	result	result	NOUN
ajst-20198	161	3	of	of	ADP
ajst-20198	161	4	hcoa	hcoa	NOUN
ajst-20198	161	5	-	-	PUNCT
ajst-20198	161	6	cs	cs	PROPN
ajst-20198	161	7	for	for	ADP
ajst-20198	161	8	estimating	estimate	VERB
ajst-20198	161	9	the	the	DET
ajst-20198	161	10	refractive	refractive	ADJ
ajst-20198	161	11	index	index	NOUN
ajst-20198	161	12	of	of	ADP
ajst-20198	161	13	different	different	ADJ
ajst-20198	161	14	media	medium	NOUN
ajst-20198	161	15	the	the	DET
ajst-20198	161	16	type	type	NOUN
ajst-20198	161	17	of	of	ADP
ajst-20198	161	18	medium	medium	NOUN
ajst-20198	161	19	.	.	PUNCT
ajst-20198	162	1	the	the	DET
ajst-20198	162	2	true	true	ADJ
ajst-20198	162	3	refractive	refractive	ADJ
ajst-20198	162	4	index	index	NOUN
ajst-20198	162	5	value	value	NOUN
ajst-20198	162	6	the	the	DET
ajst-20198	162	7	optimized	optimize	VERB
ajst-20198	162	8	value	value	NOUN
ajst-20198	162	9	obtained	obtain	VERB
ajst-20198	162	10	by	by	ADP
ajst-20198	162	11	the	the	DET
ajst-20198	162	12	algorithm	algorithm	NOUN
ajst-20198	162	13	the	the	DET
ajst-20198	162	14	optimal	optimal	ADJ
ajst-20198	162	15	solution	solution	NOUN
ajst-20198	162	16	of	of	ADP
ajst-20198	162	17	the	the	DET
ajst-20198	162	18	loss	loss	NOUN
ajst-20198	162	19	function	function	NOUN
ajst-20198	162	20	air	air	NOUN
ajst-20198	162	21	and	and	CCONJ
ajst-20198	162	22	water	water	NOUN
ajst-20198	162	23	air：1	air：1	PRON
ajst-20198	162	24	water：1.33	water：1.33	VERB
ajst-20198	162	25	air：1.017	air：1.017	NOUN
ajst-20198	162	26	water：1.353	water：1.353	PRON
ajst-20198	162	27	7.120e-26	7.120e-26	NUM
ajst-20198	162	28	glycerin	glycerin	NOUN
ajst-20198	162	29	and	and	CCONJ
ajst-20198	162	30	alcohol	alcohol	NOUN
ajst-20198	162	31	glycerin：1.47	glycerin：1.47	PROPN
ajst-20198	162	32	alcohol：1.36	alcohol：1.36	PROPN
ajst-20198	162	33	glycerin：1.477	glycerin：1.477	PROPN
ajst-20198	162	34	alcohol：1.367	alcohol：1.367	PUNCT
ajst-20198	162	35	6.0487e-17	6.0487e-17	NUM
ajst-20198	162	36	diamond	diamond	NOUN
ajst-20198	162	37	and	and	CCONJ
ajst-20198	162	38	water	water	NOUN
ajst-20198	162	39	diamond：2.42	diamond：2.42	NOUN
ajst-20198	162	40	water：1.33	water：1.33	ADJ
ajst-20198	162	41	diamond：2.435	diamond：2.435	INTJ
ajst-20198	162	42	water：1.339	water：1.339	PROPN
ajst-20198	162	43	3.0965e-19	3.0965e-19	NUM
ajst-20198	162	44	it	it	PRON
ajst-20198	162	45	can	can	AUX
ajst-20198	162	46	be	be	AUX
ajst-20198	162	47	seen	see	VERB
ajst-20198	162	48	that	that	SCONJ
ajst-20198	162	49	the	the	DET
ajst-20198	162	50	results	result	NOUN
ajst-20198	162	51	of	of	ADP
ajst-20198	162	52	the	the	DET
ajst-20198	162	53	identification	identification	NOUN
ajst-20198	162	54	of	of	ADP
ajst-20198	162	55	fresnel	fresnel	ADJ
ajst-20198	162	56	refractive	refractive	ADJ
ajst-20198	162	57	index	index	NOUN
ajst-20198	162	58	parameters	parameter	NOUN
ajst-20198	162	59	estimated	estimate	VERB
ajst-20198	162	60	by	by	ADP
ajst-20198	162	61	the	the	DET
ajst-20198	162	62	improved	improved	ADJ
ajst-20198	162	63	crab	crab	NOUN
ajst-20198	162	64	algorithm	algorithm	NOUN
ajst-20198	162	65	based	base	VERB
ajst-20198	162	66	on	on	ADP
ajst-20198	162	67	chaos	chaos	NOUN
ajst-20198	162	68	theory	theory	NOUN
ajst-20198	162	69	are	be	AUX
ajst-20198	162	70	quite	quite	ADV
ajst-20198	162	71	ideal	ideal	ADJ
ajst-20198	162	72	,	,	PUNCT
ajst-20198	162	73	showing	show	VERB
ajst-20198	162	74	excellent	excellent	ADJ
ajst-20198	162	75	performance	performance	NOUN
ajst-20198	162	76	,	,	PUNCT
ajst-20198	162	77	which	which	PRON
ajst-20198	162	78	proves	prove	VERB
ajst-20198	162	79	that	that	SCONJ
ajst-20198	162	80	the	the	DET
ajst-20198	162	81	improved	improved	ADJ
ajst-20198	162	82	crab	crab	NOUN
ajst-20198	162	83	algorithm	algorithm	NOUN
ajst-20198	162	84	based	base	VERB
ajst-20198	162	85	on	on	ADP
ajst-20198	162	86	chaos	chaos	NOUN
ajst-20198	162	87	theory	theory	NOUN
ajst-20198	162	88	has	have	VERB
ajst-20198	162	89	a	a	DET
ajst-20198	162	90	certain	certain	ADJ
ajst-20198	162	91	value	value	NOUN
ajst-20198	162	92	in	in	ADP
ajst-20198	162	93	practical	practical	ADJ
ajst-20198	162	94	applications	application	NOUN
ajst-20198	162	95	.	.	PUNCT
ajst-20198	163	1	it	it	PRON
ajst-20198	163	2	fully	fully	ADV
ajst-20198	163	3	verifies	verify	VERB
ajst-20198	163	4	the	the	DET
ajst-20198	163	5	practicality	practicality	NOUN
ajst-20198	163	6	and	and	CCONJ
ajst-20198	163	7	effectiveness	effectiveness	NOUN
ajst-20198	163	8	of	of	ADP
ajst-20198	163	9	this	this	DET
ajst-20198	163	10	algorithm	algorithm	NOUN
ajst-20198	163	11	in	in	ADP
ajst-20198	163	12	practical	practical	ADJ
ajst-20198	163	13	applications	application	NOUN
ajst-20198	163	14	.	.	PUNCT
ajst-20198	164	1	4	4	X
ajst-20198	164	2	.	.	X
ajst-20198	164	3	conclusion	conclusion	NOUN
ajst-20198	164	4	this	this	DET
ajst-20198	164	5	paper	paper	NOUN
ajst-20198	164	6	combines	combine	VERB
ajst-20198	164	7	chaos	chaos	NOUN
ajst-20198	164	8	theory	theory	NOUN
ajst-20198	164	9	and	and	CCONJ
ajst-20198	164	10	crab	crab	NOUN
ajst-20198	164	11	optimization	optimization	NOUN
ajst-20198	164	12	algorithm	algorithm	NOUN
ajst-20198	164	13	,	,	PUNCT
ajst-20198	164	14	proposing	propose	VERB
ajst-20198	164	15	an	an	DET
ajst-20198	164	16	improved	improved	ADJ
ajst-20198	164	17	crab	crab	NOUN
ajst-20198	164	18	algorithm	algorithm	NOUN
ajst-20198	164	19	based	base	VERB
ajst-20198	164	20	on	on	ADP
ajst-20198	164	21	chaos	chaos	NOUN
ajst-20198	164	22	theory	theory	NOUN
ajst-20198	164	23	,	,	PUNCT
ajst-20198	164	24	which	which	PRON
ajst-20198	164	25	effectively	effectively	ADV
ajst-20198	164	26	solves	solve	VERB
ajst-20198	164	27	the	the	DET
ajst-20198	164	28	problem	problem	NOUN
ajst-20198	164	29	of	of	ADP
ajst-20198	164	30	the	the	DET
ajst-20198	164	31	original	original	ADJ
ajst-20198	164	32	algorithm	algorithm	NOUN
ajst-20198	164	33	easily	easily	ADV
ajst-20198	164	34	falling	fall	VERB
ajst-20198	164	35	into	into	ADP
ajst-20198	164	36	local	local	ADJ
ajst-20198	164	37	optima	optima	NOUN
ajst-20198	164	38	.	.	PUNCT
ajst-20198	165	1	the	the	DET
ajst-20198	165	2	improved	improved	ADJ
ajst-20198	165	3	crab	crab	NOUN
ajst-20198	165	4	algorithm	algorithm	NOUN
ajst-20198	165	5	based	base	VERB
ajst-20198	165	6	on	on	ADP
ajst-20198	165	7	chaos	chaos	NOUN
ajst-20198	165	8	theory	theory	NOUN
ajst-20198	165	9	is	be	AUX
ajst-20198	165	10	applied	apply	VERB
ajst-20198	165	11	to	to	ADP
ajst-20198	165	12	the	the	DET
ajst-20198	165	13	problem	problem	NOUN
ajst-20198	165	14	of	of	ADP
ajst-20198	165	15	parameter	parameter	NOUN
ajst-20198	165	16	identification	identification	NOUN
ajst-20198	165	17	of	of	ADP
ajst-20198	165	18	fresnel	fresnel	PROPN
ajst-20198	165	19	refractive	refractive	ADJ
ajst-20198	165	20	index	index	NOUN
ajst-20198	165	21	,	,	PUNCT
ajst-20198	165	22	achieving	achieve	VERB
ajst-20198	165	23	good	good	ADJ
ajst-20198	165	24	results	result	NOUN
ajst-20198	165	25	.	.	PUNCT
ajst-20198	166	1	this	this	DET
ajst-20198	166	2	improvement	improvement	NOUN
ajst-20198	166	3	not	not	PART
ajst-20198	166	4	only	only	ADV
ajst-20198	166	5	enhances	enhance	VERB
ajst-20198	166	6	the	the	DET
ajst-20198	166	7	accuracy	accuracy	NOUN
ajst-20198	166	8	and	and	CCONJ
ajst-20198	166	9	efficiency	efficiency	NOUN
ajst-20198	166	10	of	of	ADP
ajst-20198	166	11	the	the	DET
ajst-20198	166	12	algorithm	algorithm	NOUN
ajst-20198	166	13	but	but	CCONJ
ajst-20198	166	14	also	also	ADV
ajst-20198	166	15	expands	expand	VERB
ajst-20198	166	16	its	its	PRON
ajst-20198	166	17	scope	scope	NOUN
ajst-20198	166	18	of	of	ADP
ajst-20198	166	19	application	application	NOUN
ajst-20198	166	20	in	in	ADP
ajst-20198	166	21	practical	practical	ADJ
ajst-20198	166	22	applications	application	NOUN
ajst-20198	166	23	.	.	PUNCT
ajst-20198	167	1	this	this	DET
ajst-20198	167	2	optimization	optimization	NOUN
ajst-20198	167	3	work	work	VERB
ajst-20198	167	4	not	not	PART
ajst-20198	167	5	only	only	ADV
ajst-20198	167	6	verifies	verifie	NOUN
ajst-20198	167	7	the	the	DET
ajst-20198	167	8	effectiveness	effectiveness	NOUN
ajst-20198	167	9	of	of	ADP
ajst-20198	167	10	chaos	chaos	NOUN
ajst-20198	167	11	theory	theory	NOUN
ajst-20198	167	12	in	in	ADP
ajst-20198	167	13	the	the	DET
ajst-20198	167	14	crab	crab	NOUN
ajst-20198	167	15	algorithm	algorithm	NOUN
ajst-20198	167	16	but	but	CCONJ
ajst-20198	167	17	also	also	ADV
ajst-20198	167	18	demonstrates	demonstrate	VERB
ajst-20198	167	19	the	the	DET
ajst-20198	167	20	potential	potential	NOUN
ajst-20198	167	21	and	and	CCONJ
ajst-20198	167	22	value	value	NOUN
ajst-20198	167	23	of	of	ADP
ajst-20198	167	24	the	the	DET
ajst-20198	167	25	algorithm	algorithm	NOUN
ajst-20198	167	26	in	in	ADP
ajst-20198	167	27	solving	solve	VERB
ajst-20198	167	28	complex	complex	ADJ
ajst-20198	167	29	optimization	optimization	NOUN
ajst-20198	167	30	problems	problem	NOUN
ajst-20198	167	31	.	.	PUNCT
ajst-20198	168	1	we	we	PRON
ajst-20198	168	2	believe	believe	VERB
ajst-20198	168	3	that	that	SCONJ
ajst-20198	168	4	with	with	ADP
ajst-20198	168	5	in	in	ADP
ajst-20198	168	6	-	-	PUNCT
ajst-20198	168	7	depth	depth	NOUN
ajst-20198	168	8	research	research	NOUN
ajst-20198	168	9	,	,	PUNCT
ajst-20198	168	10	the	the	DET
ajst-20198	168	11	improved	improved	ADJ
ajst-20198	168	12	crab	crab	NOUN
ajst-20198	168	13	algorithm	algorithm	NOUN
ajst-20198	168	14	based	base	VERB
ajst-20198	168	15	on	on	ADP
ajst-20198	168	16	chaos	chaos	NOUN
ajst-20198	168	17	theory	theory	NOUN
ajst-20198	168	18	will	will	AUX
ajst-20198	168	19	play	play	VERB
ajst-20198	168	20	an	an	DET
ajst-20198	168	21	important	important	ADJ
ajst-20198	168	22	role	role	NOUN
ajst-20198	168	23	in	in	ADP
ajst-20198	168	24	more	more	ADJ
ajst-20198	168	25	fields	field	NOUN
ajst-20198	168	26	,	,	PUNCT
ajst-20198	168	27	providing	provide	VERB
ajst-20198	168	28	strong	strong	ADJ
ajst-20198	168	29	support	support	NOUN
ajst-20198	168	30	for	for	ADP
ajst-20198	168	31	scientific	scientific	ADJ
ajst-20198	168	32	research	research	NOUN
ajst-20198	168	33	and	and	CCONJ
ajst-20198	168	34	technological	technological	ADJ
ajst-20198	168	35	innovation	innovation	NOUN
ajst-20198	168	36	.	.	PUNCT
ajst-20198	169	1	and	and	CCONJ
ajst-20198	169	2	there	there	PRON
ajst-20198	169	3	are	be	VERB
ajst-20198	169	4	not	not	PART
ajst-20198	169	5	many	many	ADJ
ajst-20198	169	6	algorithms	algorithm	NOUN
ajst-20198	169	7	related	relate	VERB
ajst-20198	169	8	to	to	ADP
ajst-20198	169	9	crabs	crab	NOUN
ajst-20198	169	10	at	at	ADP
ajst-20198	169	11	present	present	ADJ
ajst-20198	169	12	,	,	PUNCT
ajst-20198	169	13	we	we	PRON
ajst-20198	169	14	believe	believe	VERB
ajst-20198	169	15	that	that	SCONJ
ajst-20198	169	16	in	in	ADP
ajst-20198	169	17	the	the	DET
ajst-20198	169	18	future	future	NOUN
ajst-20198	169	19	,	,	PUNCT
ajst-20198	169	20	there	there	PRON
ajst-20198	169	21	will	will	AUX
ajst-20198	169	22	be	be	AUX
ajst-20198	169	23	more	more	ADV
ajst-20198	169	24	mature	mature	ADJ
ajst-20198	169	25	and	and	CCONJ
ajst-20198	169	26	excellent	excellent	ADJ
ajst-20198	169	27	algorithms	algorithm	NOUN
ajst-20198	169	28	.	.	PUNCT
ajst-20198	170	1	references	reference	NOUN
ajst-20198	170	2	[	[	X
ajst-20198	170	3	1	1	NUM
ajst-20198	170	4	]	]	PUNCT
ajst-20198	170	5	yu	yu	PROPN
ajst-20198	170	6	yang	yang	PROPN
ajst-20198	170	7	,	,	PUNCT
ajst-20198	170	8	zhang	zhang	PROPN
ajst-20198	170	9	jun	jun	PROPN
ajst-20198	170	10	,	,	PUNCT
ajst-20198	170	11	wang	wang	PROPN
ajst-20198	170	12	lei	lei	PROPN
ajst-20198	170	13	,	,	PUNCT
ajst-20198	170	14	et	et	PROPN
ajst-20198	170	15	al	al	PROPN
ajst-20198	170	16	.	.	PROPN
ajst-20198	170	17	optimized	optimize	VERB
ajst-20198	170	18	strategy	strategy	NOUN
ajst-20198	170	19	for	for	ADP
ajst-20198	170	20	multi	multi	ADJ
ajst-20198	170	21	-	-	ADJ
ajst-20198	170	22	source	source	ADJ
ajst-20198	170	23	data	datum	NOUN
ajst-20198	170	24	relay	relay	NOUN
ajst-20198	170	25	protection	protection	NOUN
ajst-20198	170	26	setting	setting	NOUN
ajst-20198	170	27	based	base	VERB
ajst-20198	170	28	on	on	ADP
ajst-20198	170	29	improved	improve	VERB
ajst-20198	170	30	genetic	genetic	ADJ
ajst-20198	170	31	algorithm	algorithm	NOUN
ajst-20198	171	1	[	[	X
ajst-20198	171	2	j	j	X
ajst-20198	171	3	]	]	X
ajst-20198	171	4	.	.	PUNCT
ajst-20198	172	1	electronic	electronic	ADJ
ajst-20198	172	2	design	design	NOUN
ajst-20198	172	3	engineering	engineering	NOUN
ajst-20198	172	4	,	,	PUNCT
ajst-20198	172	5	2024	2024	NUM
ajst-20198	172	6	,	,	PUNCT
ajst-20198	172	7	32(06	32(06	NUM
ajst-20198	172	8	):	):	PUNCT
ajst-20198	172	9	81	81	NUM
ajst-20198	172	10	-	-	SYM
ajst-20198	172	11	85	85	NUM
ajst-20198	172	12	.	.	PUNCT
ajst-20198	173	1	doi	doi	NOUN
ajst-20198	173	2	:	:	PUNCT
ajst-20198	173	3	10.14022	10.14022	NUM
ajst-20198	173	4	/	/	SYM
ajst-20198	173	5	j.issn1674	j.issn1674	PROPN
ajst-20198	173	6	-	-	PUNCT
ajst-20198	173	7	6236.2024.06.017	6236.2024.06.017	PROPN
ajst-20198	173	8	.	.	PUNCT
ajst-20198	174	1	[	[	X
ajst-20198	174	2	2	2	NUM
ajst-20198	174	3	]	]	X
ajst-20198	174	4	zhao	zhao	PROPN
ajst-20198	174	5	zhenbo	zhenbo	PROPN
ajst-20198	174	6	,	,	PUNCT
ajst-20198	174	7	ren	ren	PROPN
ajst-20198	174	8	xuerong	xuerong	NOUN
ajst-20198	174	9	,	,	PUNCT
ajst-20198	174	10	fu	fu	PROPN
ajst-20198	174	11	qingkun	qingkun	PROPN
ajst-20198	174	12	.	.	PUNCT
ajst-20198	175	1	vehicle	vehicle	NOUN
ajst-20198	175	2	network	network	NOUN
ajst-20198	175	3	computing	computing	PROPN
ajst-20198	175	4	unloading	unloading	NOUN
ajst-20198	175	5	based	base	VERB
ajst-20198	175	6	on	on	ADP
ajst-20198	175	7	improved	improved	ADJ
ajst-20198	175	8	whale	whale	NOUN
ajst-20198	175	9	optimization	optimization	NOUN
ajst-20198	175	10	algorithm	algorithm	NOUN
ajst-20198	176	1	[	[	X
ajst-20198	176	2	j	j	X
ajst-20198	176	3	/	/	SYM
ajst-20198	176	4	ol	ol	PROPN
ajst-20198	176	5	]	]	PUNCT
ajst-20198	176	6	.	.	PUNCT
ajst-20198	177	1	computer	computer	NOUN
ajst-20198	177	2	systems	system	NOUN
ajst-20198	177	3	&	&	CCONJ
ajst-20198	177	4	applications	application	NOUN
ajst-20198	177	5	,	,	PUNCT
ajst-20198	177	6	1	1	NUM
ajst-20198	177	7	-	-	SYM
ajst-20198	177	8	11	11	NUM
ajst-20198	178	1	[	[	X
ajst-20198	178	2	2024	2024	NUM
ajst-20198	178	3	-	-	SYM
ajst-20198	178	4	03	03	NUM
ajst-20198	178	5	-	-	SYM
ajst-20198	178	6	21	21	NUM
ajst-20198	178	7	]	]	PUNCT
ajst-20198	178	8	.	.	PUNCT
ajst-20198	179	1	https://doi.org/10.15888/j.cnki.csa.009478	https://doi.org/10.15888/j.cnki.csa.009478	PROPN
ajst-20198	179	2	.	.	PUNCT
ajst-20198	180	1	[	[	X
ajst-20198	180	2	3	3	X
ajst-20198	180	3	]	]	PUNCT
ajst-20198	180	4	xing	xing	PROPN
ajst-20198	180	5	yuhua	yuhua	PROPN
ajst-20198	180	6	,	,	PUNCT
ajst-20198	180	7	wu	wu	PROPN
ajst-20198	180	8	qi	qi	PROPN
ajst-20198	180	9	,	,	PUNCT
ajst-20198	180	10	&	&	CCONJ
ajst-20198	180	11	wang	wang	PROPN
ajst-20198	180	12	mingjun	mingjun	PROPN
ajst-20198	180	13	.	.	PUNCT
ajst-20198	181	1	improved	improve	VERB
ajst-20198	181	2	sparrow	sparrow	ADJ
ajst-20198	181	3	search	search	NOUN
ajst-20198	181	4	algorithm	algorithm	NOUN
ajst-20198	181	5	for	for	ADP
ajst-20198	181	6	dv	dv	PROPN
ajst-20198	181	7	-	-	ADJ
ajst-20198	181	8	hop	hop	PROPN
ajst-20198	181	9	localization	localization	NOUN
ajst-20198	181	10	optimization	optimization	NOUN
ajst-20198	181	11	[	[	X
ajst-20198	181	12	j	j	X
ajst-20198	181	13	]	]	X
ajst-20198	181	14	.	.	PUNCT
ajst-20198	182	1	microelectronics	microelectronic	NOUN
ajst-20198	182	2	&	&	CCONJ
ajst-20198	182	3	computer	computer	PROPN
ajst-20198	182	4	,	,	PUNCT
ajst-20198	182	5	1	1	NUM
ajst-20198	182	6	-	-	SYM
ajst-20198	182	7	10	10	NUM
ajst-20198	182	8	.	.	PUNCT
ajst-20198	183	1	[	[	X
ajst-20198	183	2	4	4	X
ajst-20198	183	3	]	]	X
ajst-20198	183	4	ren	ren	PROPN
ajst-20198	183	5	jin	jin	PROPN
ajst-20198	183	6	,	,	PUNCT
ajst-20198	183	7	li	li	PROPN
ajst-20198	183	8	yibo	yibo	PROPN
ajst-20198	183	9	,	,	PUNCT
ajst-20198	183	10	&	&	CCONJ
ajst-20198	183	11	min	min	PROPN
ajst-20198	183	12	chang	chang	PROPN
ajst-20198	183	13	.	.	PROPN
ajst-20198	184	1	wireless	wireless	PROPN
ajst-20198	184	2	sensor	sensor	NOUN
ajst-20198	184	3	network	network	NOUN
ajst-20198	184	4	coverage	coverage	NOUN
ajst-20198	184	5	optimization	optimization	NOUN
ajst-20198	184	6	based	base	VERB
ajst-20198	184	7	on	on	ADP
ajst-20198	184	8	improved	improve	VERB
ajst-20198	184	9	particle	particle	NOUN
ajst-20198	184	10	swarm	swarm	NOUN
ajst-20198	184	11	algorithm	algorithm	NOUN
ajst-20198	185	1	[	[	X
ajst-20198	185	2	j	j	X
ajst-20198	185	3	]	]	X
ajst-20198	185	4	.	.	PUNCT
ajst-20198	186	1	radio	radio	NOUN
ajst-20198	186	2	engineering	engineering	NOUN
ajst-20198	186	3	,	,	PUNCT
ajst-20198	186	4	1	1	NUM
ajst-20198	186	5	-	-	SYM
ajst-20198	186	6	8	8	NUM
ajst-20198	186	7	.	.	PUNCT
ajst-20198	187	1	[	[	X
ajst-20198	187	2	5	5	NUM
ajst-20198	187	3	]	]	X
ajst-20198	187	4	guo	guo	PROPN
ajst-20198	187	5	,	,	PUNCT
ajst-20198	187	6	j.	j.	PROPN
ajst-20198	187	7	,	,	PUNCT
ajst-20198	187	8	zhou	zhou	PROPN
ajst-20198	187	9	,	,	PUNCT
ajst-20198	187	10	g.	g.	PROPN
ajst-20198	187	11	,	,	PUNCT
ajst-20198	187	12	yan	yan	PROPN
ajst-20198	187	13	,	,	PUNCT
ajst-20198	187	14	k.	k.	PROPN
ajst-20198	187	15	,	,	PUNCT
ajst-20198	187	16	shi	shi	PROPN
ajst-20198	187	17	,	,	PUNCT
ajst-20198	187	18	b.	b.	PROPN
ajst-20198	187	19	,	,	PUNCT
ajst-20198	187	20	di	di	PROPN
ajst-20198	187	21	,	,	PUNCT
ajst-20198	187	22	y.	y.	PROPN
ajst-20198	187	23	,	,	PUNCT
ajst-20198	187	24	&	&	CCONJ
ajst-20198	187	25	sato	sato	PROPN
ajst-20198	187	26	,	,	PUNCT
ajst-20198	187	27	y.	y.	PROPN
ajst-20198	187	28	(	(	PUNCT
ajst-20198	187	29	2023	2023	NUM
ajst-20198	187	30	)	)	PUNCT
ajst-20198	187	31	.	.	PUNCT
ajst-20198	188	1	a	a	DET
ajst-20198	188	2	novel	novel	ADJ
ajst-20198	188	3	hermit	hermit	NOUN
ajst-20198	188	4	crab	crab	NOUN
ajst-20198	188	5	optimization	optimization	NOUN
ajst-20198	188	6	algorithm	algorithm	NOUN
ajst-20198	188	7	.	.	PUNCT
ajst-20198	189	1	scientific	scientific	ADJ
ajst-20198	189	2	reports	report	NOUN
ajst-20198	189	3	,	,	PUNCT
ajst-20198	189	4	13	13	NUM
ajst-20198	189	5	,	,	PUNCT
ajst-20198	189	6	9934	9934	NUM
ajst-20198	189	7	.	.	PUNCT
ajst-20198	190	1	https://www.nature.com/articles/s41598-023-371296	https://www.nature.com/articles/s41598-023-371296	NOUN
ajst-20198	190	2	.	.	PUNCT
ajst-20198	191	1	[	[	X
ajst-20198	191	2	6	6	NUM
ajst-20198	191	3	]	]	X
ajst-20198	191	4	tong	tong	PROPN
ajst-20198	191	5	liang	liang	PROPN
ajst-20198	191	6	,	,	PUNCT
ajst-20198	191	7	yang	yang	PROPN
ajst-20198	191	8	jie	jie	PROPN
ajst-20198	191	9	,	,	PUNCT
ajst-20198	191	10	gan	gan	PROPN
ajst-20198	191	11	xusheng	xusheng	PROPN
ajst-20198	191	12	,	,	PUNCT
ajst-20198	191	13	shen	shen	PROPN
ajst-20198	191	14	di	di	PROPN
ajst-20198	191	15	,	,	PUNCT
ajst-20198	191	16	yang	yang	PROPN
ajst-20198	191	17	wenda	wenda	PROPN
ajst-20198	191	18	,	,	PUNCT
ajst-20198	191	19	&	&	CCONJ
ajst-20198	191	20	chen	chen	PROPN
ajst-20198	191	21	daxiong	daxiong	PROPN
ajst-20198	191	22	.	.	PUNCT
ajst-20198	192	1	multi	multi	ADJ
ajst-20198	192	2	-	-	ADJ
ajst-20198	192	3	robot	robot	ADJ
ajst-20198	192	4	conflict	conflict	NOUN
ajst-20198	192	5	resolution	resolution	NOUN
ajst-20198	192	6	simulation	simulation	NOUN
ajst-20198	192	7	based	base	VERB
ajst-20198	192	8	on	on	ADP
ajst-20198	192	9	improved	improved	ADJ
ajst-20198	192	10	chaos	chaos	NOUN
ajst-20198	192	11	ant	ant	ADJ
ajst-20198	192	12	algorithm	algorithm	NOUN
ajst-20198	192	13	[	[	X
ajst-20198	192	14	j	j	X
ajst-20198	192	15	]	]	X
ajst-20198	192	16	.	.	PUNCT
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ajst-20198	193	2	of	of	ADP
ajst-20198	193	3	system	system	NOUN
ajst-20198	193	4	simulation	simulation	NOUN
ajst-20198	193	5	,	,	PUNCT
ajst-20198	193	6	1	1	NUM
ajst-20198	193	7	-	-	SYM
ajst-20198	193	8	11	11	NUM
ajst-20198	193	9	.	.	PUNCT
ajst-20198	194	1	doi	doi	NOUN
ajst-20198	194	2	:	:	PUNCT
ajst-20198	194	3	10.16182	10.16182	NUM
ajst-20198	194	4	/	/	SYM
ajst-20198	194	5	j.issn1004731x.joss.23	j.issn1004731x.joss.23	PROPN
ajst-20198	194	6	-	-	PUNCT
ajst-20198	194	7	1117	1117	NUM
ajst-20198	194	8	.	.	PUNCT
ajst-20198	195	1	[	[	X
ajst-20198	195	2	7	7	X
ajst-20198	195	3	]	]	X
ajst-20198	195	4	yin	yin	NOUN
ajst-20198	195	5	wenming	wenming	NOUN
ajst-20198	195	6	&	&	CCONJ
ajst-20198	195	7	li	li	PROPN
ajst-20198	195	8	hui	hui	PROPN
ajst-20198	195	9	.	.	PUNCT
ajst-20198	196	1	(	(	PUNCT
ajst-20198	196	2	2021	2021	NUM
ajst-20198	196	3	)	)	PUNCT
ajst-20198	196	4	.	.	PUNCT
ajst-20198	197	1	improved	improve	VERB
ajst-20198	197	2	cuckoo	cuckoo	NOUN
ajst-20198	197	3	search	search	NOUN
ajst-20198	197	4	algorithm	algorithm	NOUN
ajst-20198	197	5	based	base	VERB
ajst-20198	197	6	on	on	ADP
ajst-20198	197	7	chaos	chaos	NOUN
ajst-20198	197	8	theory	theory	NOUN
ajst-20198	197	9	and	and	CCONJ
ajst-20198	197	10	its	its	PRON
ajst-20198	197	11	applications	application	NOUN
ajst-20198	197	12	[	[	X
ajst-20198	197	13	j	j	X
ajst-20198	197	14	]	]	X
ajst-20198	197	15	.	.	PUNCT
ajst-20198	198	1	journal	journal	PROPN
ajst-20198	198	2	of	of	ADP
ajst-20198	198	3	mathematical	mathematical	ADJ
ajst-20198	198	4	modeling	modeling	NOUN
ajst-20198	198	5	and	and	CCONJ
ajst-20198	198	6	application	application	NOUN
ajst-20198	198	7	,	,	PUNCT
ajst-20198	198	8	(	(	PUNCT
ajst-20198	198	9	02	02	NUM
ajst-20198	198	10	)	)	PUNCT
ajst-20198	198	11	,	,	PUNCT
ajst-20198	198	12	2531	2531	NUM
ajst-20198	198	13	.	.	PUNCT
ajst-20198	199	1	doi	doi	NOUN
ajst-20198	199	2	:	:	PUNCT
ajst-20198	199	3	10.19943	10.19943	NUM
ajst-20198	199	4	/	/	SYM
ajst-20198	199	5	j.2095	j.2095	NOUN
ajst-20198	199	6	-	-	PUNCT
ajst-20198	199	7	3070.jmmia.2021.02.03	3070.jmmia.2021.02.03	NUM
ajst-20198	199	8	.	.	PUNCT
ajst-20198	200	1	[	[	X
ajst-20198	200	2	8	8	NUM
ajst-20198	200	3	]	]	X
ajst-20198	200	4	yang	yang	PROPN
ajst-20198	200	5	daoping	daoping	PROPN
ajst-20198	200	6	,	,	PUNCT
ajst-20198	200	7	ge	ge	PROPN
ajst-20198	200	8	gengyu	gengyu	PROPN
ajst-20198	200	9	,	,	PUNCT
ajst-20198	200	10	&	&	CCONJ
ajst-20198	200	11	xia	xia	PROPN
ajst-20198	200	12	deyou	deyou	PROPN
ajst-20198	200	13	.	.	PUNCT
ajst-20198	201	1	(	(	PUNCT
ajst-20198	201	2	2023	2023	NUM
ajst-20198	201	3	)	)	PUNCT
ajst-20198	201	4	.	.	PUNCT
ajst-20198	202	1	traffic	traffic	NOUN
ajst-20198	202	2	light	light	NOUN
ajst-20198	202	3	duration	duration	NOUN
ajst-20198	202	4	regulation	regulation	NOUN
ajst-20198	202	5	simulation	simulation	NOUN
ajst-20198	202	6	based	base	VERB
ajst-20198	202	7	on	on	ADP
ajst-20198	202	8	chaos	chaos	NOUN
ajst-20198	202	9	genetic	genetic	ADJ
ajst-20198	202	10	algorithm	algorithm	NOUN
ajst-20198	203	1	[	[	X
ajst-20198	203	2	j	j	X
ajst-20198	203	3	]	]	X
ajst-20198	203	4	.	.	PUNCT
ajst-20198	204	1	computer	computer	NOUN
ajst-20198	204	2	simulation	simulation	PROPN
ajst-20198	204	3	,	,	PUNCT
ajst-20198	204	4	(	(	PUNCT
ajst-20198	204	5	05	05	NUM
ajst-20198	204	6	)	)	PUNCT
ajst-20198	204	7	,	,	PUNCT
ajst-20198	204	8	192	192	NUM
ajst-20198	204	9	-	-	SYM
ajst-20198	204	10	196	196	NUM
ajst-20198	204	11	.	.	PUNCT