id	sid	tid	token	lemma	pos
ejpam-5538	1	1	european	european	PROPN
ejpam-5538	1	2	journal	journal	PROPN
ejpam-5538	1	3	of	of	ADP
ejpam-5538	1	4	pure	pure	ADJ
ejpam-5538	1	5	and	and	CCONJ
ejpam-5538	1	6	applied	apply	VERB
ejpam-5538	1	7	mathematics	mathematic	NOUN
ejpam-5538	1	8	vol	vol	NOUN
ejpam-5538	1	9	.	.	PROPN
ejpam-5538	2	1	17	17	NUM
ejpam-5538	2	2	,	,	PUNCT
ejpam-5538	2	3	no	no	INTJ
ejpam-5538	2	4	.	.	NOUN
ejpam-5538	2	5	4	4	NUM
ejpam-5538	2	6	,	,	PUNCT
ejpam-5538	2	7	2024	2024	NUM
ejpam-5538	2	8	,	,	PUNCT
ejpam-5538	2	9	3994	3994	NUM
ejpam-5538	2	10	-	-	SYM
ejpam-5538	2	11	4002	4002	NUM
ejpam-5538	2	12	issn	issn	PROPN
ejpam-5538	2	13	1307	1307	NUM
ejpam-5538	2	14	-	-	SYM
ejpam-5538	2	15	5543	5543	NUM
ejpam-5538	2	16	–	–	PUNCT
ejpam-5538	2	17	ejpam.com	ejpam.com	X
ejpam-5538	2	18	published	publish	VERB
ejpam-5538	2	19	by	by	ADP
ejpam-5538	2	20	new	new	PROPN
ejpam-5538	2	21	york	york	PROPN
ejpam-5538	2	22	business	business	PROPN
ejpam-5538	2	23	global	global	ADJ
ejpam-5538	2	24	advancing	advance	VERB
ejpam-5538	2	25	graph	graph	NOUN
ejpam-5538	2	26	theory	theory	NOUN
ejpam-5538	2	27	with	with	ADP
ejpam-5538	2	28	genetic	genetic	ADJ
ejpam-5538	2	29	algorithms	algorithm	NOUN
ejpam-5538	2	30	:	:	PUNCT
ejpam-5538	2	31	a	a	DET
ejpam-5538	2	32	focus	focus	NOUN
ejpam-5538	2	33	on	on	ADP
ejpam-5538	2	34	non	non	ADJ
ejpam-5538	2	35	-	-	ADJ
ejpam-5538	2	36	inclusive	inclusive	ADJ
ejpam-5538	2	37	vertex	vertex	NOUN
ejpam-5538	2	38	irregular	irregular	ADJ
ejpam-5538	2	39	labeling	labeling	NOUN
ejpam-5538	2	40	kiswara	kiswara	PROPN
ejpam-5538	2	41	agung	agung	PROPN
ejpam-5538	2	42	santoso1,∗	santoso1,∗	PROPN
ejpam-5538	2	43	,	,	PUNCT
ejpam-5538	2	44	febyan	febyan	PROPN
ejpam-5538	2	45	gilang	gilang	PROPN
ejpam-5538	2	46	cristyanto1	cristyanto1	PROPN
ejpam-5538	2	47	,	,	PUNCT
ejpam-5538	2	48	ikhsanul	ikhsanul	NOUN
ejpam-5538	2	49	halikin1	halikin1	NOUN
ejpam-5538	2	50	,	,	PUNCT
ejpam-5538	2	51	ridho	ridho	ADJ
ejpam-5538	2	52	alfarisi1	alfarisi1	PROPN
ejpam-5538	2	53	1	1	NUM
ejpam-5538	2	54	department	department	NOUN
ejpam-5538	2	55	mathematics	mathematic	NOUN
ejpam-5538	2	56	,	,	PUNCT
ejpam-5538	2	57	jember	jember	PROPN
ejpam-5538	2	58	university	university	PROPN
ejpam-5538	2	59	,	,	PUNCT
ejpam-5538	2	60	jember	jember	PROPN
ejpam-5538	2	61	,	,	PUNCT
ejpam-5538	2	62	indonesia	indonesia	PROPN
ejpam-5538	2	63	abstract	abstract	NOUN
ejpam-5538	2	64	.	.	PUNCT
ejpam-5538	3	1	non	non	ADJ
ejpam-5538	3	2	-	-	ADJ
ejpam-5538	3	3	inclusive	inclusive	ADJ
ejpam-5538	3	4	irregular	irregular	ADJ
ejpam-5538	3	5	vertex	vertex	NOUN
ejpam-5538	3	6	labeling	labeling	NOUN
ejpam-5538	3	7	is	be	AUX
ejpam-5538	3	8	a	a	DET
ejpam-5538	3	9	labeling	labeling	NOUN
ejpam-5538	3	10	on	on	ADP
ejpam-5538	3	11	a	a	DET
ejpam-5538	3	12	graph	graph	NOUN
ejpam-5538	3	13	where	where	SCONJ
ejpam-5538	3	14	the	the	DET
ejpam-5538	3	15	vertex	vertex	NOUN
ejpam-5538	3	16	labels	label	NOUN
ejpam-5538	3	17	are	be	AUX
ejpam-5538	3	18	real	real	ADJ
ejpam-5538	3	19	numbers	number	NOUN
ejpam-5538	3	20	that	that	PRON
ejpam-5538	3	21	have	have	VERB
ejpam-5538	3	22	weights	weight	NOUN
ejpam-5538	3	23	.	.	PUNCT
ejpam-5538	4	1	the	the	DET
ejpam-5538	4	2	weight	weight	NOUN
ejpam-5538	4	3	is	be	AUX
ejpam-5538	4	4	defined	define	VERB
ejpam-5538	4	5	as	as	ADP
ejpam-5538	4	6	the	the	DET
ejpam-5538	4	7	sum	sum	NOUN
ejpam-5538	4	8	of	of	ADP
ejpam-5538	4	9	the	the	DET
ejpam-5538	4	10	labels	label	NOUN
ejpam-5538	4	11	of	of	ADP
ejpam-5538	4	12	the	the	DET
ejpam-5538	4	13	connected	connect	VERB
ejpam-5538	4	14	nodes	node	NOUN
ejpam-5538	4	15	.	.	PUNCT
ejpam-5538	5	1	the	the	DET
ejpam-5538	5	2	main	main	ADJ
ejpam-5538	5	3	problem	problem	NOUN
ejpam-5538	5	4	in	in	ADP
ejpam-5538	5	5	labeling	labeling	NOUN
ejpam-5538	5	6	graphs	graph	NOUN
ejpam-5538	5	7	is	be	AUX
ejpam-5538	5	8	how	how	SCONJ
ejpam-5538	5	9	to	to	PART
ejpam-5538	5	10	find	find	VERB
ejpam-5538	5	11	the	the	DET
ejpam-5538	5	12	formula	formula	NOUN
ejpam-5538	5	13	so	so	SCONJ
ejpam-5538	5	14	that	that	SCONJ
ejpam-5538	5	15	the	the	DET
ejpam-5538	5	16	required	require	VERB
ejpam-5538	5	17	labeling	labeling	NOUN
ejpam-5538	5	18	rules	rule	NOUN
ejpam-5538	5	19	can	can	AUX
ejpam-5538	5	20	be	be	AUX
ejpam-5538	5	21	applied	apply	VERB
ejpam-5538	5	22	.	.	PUNCT
ejpam-5538	6	1	to	to	PART
ejpam-5538	6	2	find	find	VERB
ejpam-5538	6	3	this	this	DET
ejpam-5538	6	4	formula	formula	NOUN
ejpam-5538	6	5	,	,	PUNCT
ejpam-5538	6	6	researchers	researcher	NOUN
ejpam-5538	6	7	must	must	AUX
ejpam-5538	6	8	try	try	VERB
ejpam-5538	6	9	to	to	PART
ejpam-5538	6	10	label	label	VERB
ejpam-5538	6	11	various	various	ADJ
ejpam-5538	6	12	kinds	kind	NOUN
ejpam-5538	6	13	of	of	ADP
ejpam-5538	6	14	graphs	graph	NOUN
ejpam-5538	6	15	to	to	PART
ejpam-5538	6	16	find	find	VERB
ejpam-5538	6	17	labeling	labeling	NOUN
ejpam-5538	6	18	patterns	pattern	NOUN
ejpam-5538	6	19	.	.	PUNCT
ejpam-5538	7	1	a	a	DET
ejpam-5538	7	2	heuristic	heuristic	ADJ
ejpam-5538	7	3	algorithm	algorithm	NOUN
ejpam-5538	7	4	is	be	AUX
ejpam-5538	7	5	an	an	DET
ejpam-5538	7	6	algorithm	algorithm	NOUN
ejpam-5538	7	7	that	that	PRON
ejpam-5538	7	8	can	can	AUX
ejpam-5538	7	9	always	always	ADV
ejpam-5538	7	10	provide	provide	VERB
ejpam-5538	7	11	solutions	solution	NOUN
ejpam-5538	7	12	and	and	CCONJ
ejpam-5538	7	13	is	be	AUX
ejpam-5538	7	14	approximate	approximate	ADJ
ejpam-5538	7	15	.	.	PUNCT
ejpam-5538	8	1	one	one	NUM
ejpam-5538	8	2	type	type	NOUN
ejpam-5538	8	3	of	of	ADP
ejpam-5538	8	4	heuristic	heuristic	ADJ
ejpam-5538	8	5	algorithm	algorithm	NOUN
ejpam-5538	8	6	is	be	AUX
ejpam-5538	8	7	a	a	DET
ejpam-5538	8	8	genetic	genetic	ADJ
ejpam-5538	8	9	algorithm	algorithm	NOUN
ejpam-5538	8	10	,	,	PUNCT
ejpam-5538	8	11	where	where	SCONJ
ejpam-5538	8	12	this	this	DET
ejpam-5538	8	13	algorithm	algorithm	NOUN
ejpam-5538	8	14	will	will	AUX
ejpam-5538	8	15	generate	generate	VERB
ejpam-5538	8	16	random	random	ADJ
ejpam-5538	8	17	numbers	number	NOUN
ejpam-5538	8	18	as	as	ADP
ejpam-5538	8	19	candidate	candidate	NOUN
ejpam-5538	8	20	solutions	solution	NOUN
ejpam-5538	8	21	and	and	CCONJ
ejpam-5538	8	22	after	after	ADP
ejpam-5538	8	23	going	go	VERB
ejpam-5538	8	24	through	through	ADP
ejpam-5538	8	25	several	several	ADJ
ejpam-5538	8	26	selection	selection	NOUN
ejpam-5538	8	27	,	,	PUNCT
ejpam-5538	8	28	evolution	evolution	NOUN
ejpam-5538	8	29	and	and	CCONJ
ejpam-5538	8	30	evaluation	evaluation	NOUN
ejpam-5538	8	31	processes	process	VERB
ejpam-5538	8	32	the	the	DET
ejpam-5538	8	33	most	most	ADV
ejpam-5538	8	34	appropriate	appropriate	ADJ
ejpam-5538	8	35	value	value	NOUN
ejpam-5538	8	36	for	for	ADP
ejpam-5538	8	37	the	the	DET
ejpam-5538	8	38	solution	solution	NOUN
ejpam-5538	8	39	will	will	AUX
ejpam-5538	8	40	be	be	AUX
ejpam-5538	8	41	found	find	VERB
ejpam-5538	8	42	.	.	PUNCT
ejpam-5538	9	1	this	this	DET
ejpam-5538	9	2	research	research	NOUN
ejpam-5538	9	3	discusses	discuss	VERB
ejpam-5538	9	4	the	the	DET
ejpam-5538	9	5	implementation	implementation	NOUN
ejpam-5538	9	6	of	of	ADP
ejpam-5538	9	7	a	a	DET
ejpam-5538	9	8	genetic	genetic	ADJ
ejpam-5538	9	9	algorithm	algorithm	NOUN
ejpam-5538	9	10	to	to	ADP
ejpam-5538	9	11	label	label	NOUN
ejpam-5538	9	12	graphs	graph	NOUN
ejpam-5538	9	13	(	(	PUNCT
ejpam-5538	9	14	all	all	DET
ejpam-5538	9	15	types	type	NOUN
ejpam-5538	9	16	of	of	ADP
ejpam-5538	9	17	graphs	graph	NOUN
ejpam-5538	9	18	)	)	PUNCT
ejpam-5538	9	19	in	in	ADP
ejpam-5538	9	20	a	a	DET
ejpam-5538	9	21	computerized	computerized	ADJ
ejpam-5538	9	22	manner	manner	NOUN
ejpam-5538	9	23	based	base	VERB
ejpam-5538	9	24	on	on	ADP
ejpam-5538	9	25	non	non	ADJ
ejpam-5538	9	26	-	-	ADJ
ejpam-5538	9	27	inclusive	inclusive	ADJ
ejpam-5538	9	28	irregular	irregular	ADJ
ejpam-5538	9	29	labeling	labeling	NOUN
ejpam-5538	9	30	.	.	PUNCT
ejpam-5538	10	1	it	it	PRON
ejpam-5538	10	2	is	be	AUX
ejpam-5538	10	3	hoped	hope	VERB
ejpam-5538	10	4	that	that	SCONJ
ejpam-5538	10	5	this	this	DET
ejpam-5538	10	6	program	program	NOUN
ejpam-5538	10	7	will	will	AUX
ejpam-5538	10	8	help	help	VERB
ejpam-5538	10	9	researchers	researcher	NOUN
ejpam-5538	10	10	find	find	VERB
ejpam-5538	10	11	non	non	ADJ
ejpam-5538	10	12	-	-	ADJ
ejpam-5538	10	13	inclusive	inclusive	ADJ
ejpam-5538	10	14	irregular	irregular	ADJ
ejpam-5538	10	15	labeling	labeling	NOUN
ejpam-5538	10	16	formulas	formula	NOUN
ejpam-5538	10	17	,	,	PUNCT
ejpam-5538	10	18	without	without	ADP
ejpam-5538	10	19	having	have	VERB
ejpam-5538	10	20	to	to	PART
ejpam-5538	10	21	label	label	VERB
ejpam-5538	10	22	graphs	graph	NOUN
ejpam-5538	10	23	manually	manually	ADV
ejpam-5538	10	24	.	.	PUNCT
ejpam-5538	11	1	2020	2020	NUM
ejpam-5538	11	2	mathematics	mathematic	NOUN
ejpam-5538	11	3	subject	subject	NOUN
ejpam-5538	11	4	classifications	classification	NOUN
ejpam-5538	11	5	:	:	PUNCT
ejpam-5538	11	6	05c78	05c78	NUM
ejpam-5538	11	7	key	key	ADJ
ejpam-5538	11	8	words	word	NOUN
ejpam-5538	11	9	and	and	CCONJ
ejpam-5538	11	10	phrases	phrase	NOUN
ejpam-5538	11	11	:	:	PUNCT
ejpam-5538	11	12	genetic	genetic	ADJ
ejpam-5538	11	13	algorithm	algorithm	NOUN
ejpam-5538	11	14	,	,	PUNCT
ejpam-5538	11	15	graph	graph	NOUN
ejpam-5538	11	16	theory	theory	NOUN
ejpam-5538	11	17	,	,	PUNCT
ejpam-5538	11	18	non	non	ADJ
ejpam-5538	11	19	-	-	ADJ
ejpam-5538	11	20	inclusive	inclusive	ADJ
ejpam-5538	11	21	vertex	vertex	NOUN
ejpam-5538	11	22	irregular	irregular	ADJ
ejpam-5538	11	23	labeling	labeling	NOUN
ejpam-5538	11	24	1	1	NUM
ejpam-5538	11	25	.	.	PUNCT
ejpam-5538	12	1	introduction	introduction	NOUN
ejpam-5538	12	2	graph	graph	NOUN
ejpam-5538	12	3	labeling	labeling	NOUN
ejpam-5538	12	4	is	be	AUX
ejpam-5538	12	5	the	the	DET
ejpam-5538	12	6	assignment	assignment	NOUN
ejpam-5538	12	7	of	of	ADP
ejpam-5538	12	8	labels	label	NOUN
ejpam-5538	12	9	,	,	PUNCT
ejpam-5538	12	10	usually	usually	ADV
ejpam-5538	12	11	represented	represent	VERB
ejpam-5538	12	12	by	by	ADP
ejpam-5538	12	13	integers	integer	NOUN
ejpam-5538	12	14	,	,	PUNCT
ejpam-5538	12	15	to	to	ADP
ejpam-5538	12	16	elements	element	NOUN
ejpam-5538	12	17	of	of	ADP
ejpam-5538	12	18	graph	graph	NOUN
ejpam-5538	12	19	(	(	PUNCT
ejpam-5538	12	20	vertices	vertex	NOUN
ejpam-5538	12	21	and	and	CCONJ
ejpam-5538	12	22	edges	edge	NOUN
ejpam-5538	12	23	)	)	PUNCT
ejpam-5538	12	24	.	.	PUNCT
ejpam-5538	13	1	marr	marr	PROPN
ejpam-5538	13	2	dan	dan	PROPN
ejpam-5538	13	3	wallis	wallis	PROPN
ejpam-5538	13	4	[	[	X
ejpam-5538	13	5	2	2	NUM
ejpam-5538	13	6	]	]	PUNCT
ejpam-5538	13	7	explained	explain	VERB
ejpam-5538	13	8	that	that	SCONJ
ejpam-5538	13	9	if	if	SCONJ
ejpam-5538	13	10	the	the	DET
ejpam-5538	13	11	domain	domain	NOUN
ejpam-5538	13	12	of	of	ADP
ejpam-5538	13	13	the	the	DET
ejpam-5538	13	14	function	function	NOUN
ejpam-5538	13	15	is	be	AUX
ejpam-5538	13	16	the	the	DET
ejpam-5538	13	17	set	set	NOUN
ejpam-5538	13	18	of	of	ADP
ejpam-5538	13	19	vertices	vertex	NOUN
ejpam-5538	13	20	,	,	PUNCT
ejpam-5538	13	21	then	then	ADV
ejpam-5538	13	22	it	it	PRON
ejpam-5538	13	23	called	call	VERB
ejpam-5538	13	24	vertex	vertex	NOUN
ejpam-5538	13	25	labeling	labeling	NOUN
ejpam-5538	13	26	.	.	PUNCT
ejpam-5538	14	1	slamin	slamin	PROPN
ejpam-5538	15	1	[	[	X
ejpam-5538	15	2	3	3	X
ejpam-5538	15	3	]	]	PUNCT
ejpam-5538	15	4	introduced	introduce	VERB
ejpam-5538	15	5	a	a	DET
ejpam-5538	15	6	concept	concept	NOUN
ejpam-5538	15	7	of	of	ADP
ejpam-5538	15	8	new	new	ADJ
ejpam-5538	15	9	labeling	labeling	NOUN
ejpam-5538	15	10	which	which	PRON
ejpam-5538	15	11	is	be	AUX
ejpam-5538	15	12	vertex	vertex	NOUN
ejpam-5538	15	13	irregular	irregular	ADJ
ejpam-5538	15	14	d	d	NOUN
ejpam-5538	15	15	-	-	PUNCT
ejpam-5538	15	16	distance	distance	NOUN
ejpam-5538	15	17	vertex	vertex	NOUN
ejpam-5538	15	18	labeling	labeling	NOUN
ejpam-5538	15	19	.	.	PUNCT
ejpam-5538	16	1	bong	bong	NOUN
ejpam-5538	16	2	et	et	PROPN
ejpam-5538	16	3	al	al	PROPN
ejpam-5538	16	4	.	.	PUNCT
ejpam-5538	17	1	[	[	X
ejpam-5538	17	2	4	4	X
ejpam-5538	17	3	]	]	PUNCT
ejpam-5538	17	4	then	then	ADV
ejpam-5538	17	5	generalized	generalize	VERB
ejpam-5538	17	6	the	the	DET
ejpam-5538	17	7	concept	concept	NOUN
ejpam-5538	17	8	to	to	ADP
ejpam-5538	17	9	inclusive	inclusive	ADJ
ejpam-5538	17	10	and	and	CCONJ
ejpam-5538	17	11	non	non	ADJ
ejpam-5538	17	12	-	-	ADJ
ejpam-5538	17	13	inclusive	inclusive	ADJ
ejpam-5538	17	14	vertex	vertex	NOUN
ejpam-5538	17	15	irregular	irregular	ADJ
ejpam-5538	17	16	d	d	NOUN
ejpam-5538	17	17	-	-	PUNCT
ejpam-5538	17	18	distance	distance	NOUN
ejpam-5538	17	19	vertex	vertex	NOUN
ejpam-5538	17	20	labeling	labeling	NOUN
ejpam-5538	17	21	.	.	PUNCT
ejpam-5538	18	1	we	we	PRON
ejpam-5538	18	2	will	will	AUX
ejpam-5538	18	3	limit	limit	VERB
ejpam-5538	18	4	our	our	PRON
ejpam-5538	18	5	research	research	NOUN
ejpam-5538	18	6	from	from	ADP
ejpam-5538	18	7	distance	distance	NOUN
ejpam-5538	18	8	d	d	NOUN
ejpam-5538	18	9	to	to	PART
ejpam-5538	18	10	distance	distance	NOUN
ejpam-5538	18	11	1	1	NUM
ejpam-5538	18	12	in	in	ADP
ejpam-5538	18	13	this	this	DET
ejpam-5538	18	14	paper	paper	NOUN
ejpam-5538	18	15	.	.	PUNCT
ejpam-5538	19	1	let	let	VERB
ejpam-5538	19	2	k	k	PRON
ejpam-5538	19	3	be	be	AUX
ejpam-5538	19	4	positive	positive	ADJ
ejpam-5538	19	5	integer	integer	NOUN
ejpam-5538	19	6	.	.	PUNCT
ejpam-5538	20	1	a	a	DET
ejpam-5538	20	2	non	non	ADJ
ejpam-5538	20	3	-	-	ADJ
ejpam-5538	20	4	inclusive	inclusive	ADJ
ejpam-5538	20	5	vertex	vertex	NOUN
ejpam-5538	20	6	irregular	irregular	ADJ
ejpam-5538	20	7	labeling	labeling	NOUN
ejpam-5538	20	8	of	of	ADP
ejpam-5538	20	9	graph	graph	NOUN
ejpam-5538	20	10	g	g	PROPN
ejpam-5538	20	11	with	with	ADP
ejpam-5538	20	12	vertex	vertex	NOUN
ejpam-5538	20	13	set	set	VERB
ejpam-5538	20	14	v	v	NOUN
ejpam-5538	20	15	is	be	AUX
ejpam-5538	20	16	an	an	DET
ejpam-5538	20	17	assignment	assignment	NOUN
ejpam-5538	20	18	:	:	PUNCT
ejpam-5538	20	19	v	v	X
ejpam-5538	20	20	→	→	SYM
ejpam-5538	20	21	{	{	PUNCT
ejpam-5538	20	22	1	1	NUM
ejpam-5538	20	23	,	,	PUNCT
ejpam-5538	20	24	2	2	NUM
ejpam-5538	20	25	,	,	PUNCT
ejpam-5538	20	26	.	.	PUNCT
ejpam-5538	20	27	.	.	PUNCT
ejpam-5538	21	1	.	.	PUNCT
ejpam-5538	22	1	,	,	PUNCT
ejpam-5538	22	2	k	k	X
ejpam-5538	22	3	}	}	PUNCT
ejpam-5538	22	4	such	such	DET
ejpam-5538	22	5	a	a	DET
ejpam-5538	22	6	way	way	NOUN
ejpam-5538	22	7	that	that	PRON
ejpam-5538	22	8	the	the	DET
ejpam-5538	22	9	weight	weight	NOUN
ejpam-5538	22	10	calculated	calculate	VERB
ejpam-5538	22	11	are	be	AUX
ejpam-5538	22	12	distinct	distinct	ADJ
ejpam-5538	22	13	.	.	PUNCT
ejpam-5538	23	1	∗corresponding	∗corresponde	VERB
ejpam-5538	23	2	author	author	NOUN
ejpam-5538	23	3	.	.	PUNCT
ejpam-5538	24	1	doi	doi	NOUN
ejpam-5538	24	2	:	:	PUNCT
ejpam-5538	24	3	https://doi.org/10.29020/nybg.ejpam.v17i4.5538	https://doi.org/10.29020/nybg.ejpam.v17i4.5538	PROPN
ejpam-5538	24	4	email	email	NOUN
ejpam-5538	24	5	addresses	address	NOUN
ejpam-5538	24	6	:	:	PUNCT
ejpam-5538	24	7	kiswara.fmipa@unej.ac.id	kiswara.fmipa@unej.ac.id	NOUN
ejpam-5538	24	8	(	(	PUNCT
ejpam-5538	24	9	k.	k.	PROPN
ejpam-5538	24	10	a.	a.	PROPN
ejpam-5538	24	11	santoso	santoso	PROPN
ejpam-5538	24	12	)	)	PUNCT
ejpam-5538	24	13	,	,	PUNCT
ejpam-5538	24	14	febyangilang@gmail.com	febyangilang@gmail.com	X
ejpam-5538	24	15	(	(	PUNCT
ejpam-5538	24	16	f.	f.	PROPN
ejpam-5538	24	17	g.	g.	PROPN
ejpam-5538	24	18	cristyanto	cristyanto	PROPN
ejpam-5538	24	19	)	)	PUNCT
ejpam-5538	24	20	,	,	PUNCT
ejpam-5538	24	21	ikhsan.fmipa@unej.ac.id	ikhsan.fmipa@unej.ac.id	NUM
ejpam-5538	24	22	(	(	PUNCT
ejpam-5538	24	23	i.	i.	NOUN
ejpam-5538	24	24	halikin	halikin	PROPN
ejpam-5538	24	25	)	)	PUNCT
ejpam-5538	24	26	,	,	PUNCT
ejpam-5538	24	27	alfarisi.fkip@unej.ac.id	alfarisi.fkip@unej.ac.id	PUNCT
ejpam-5538	24	28	(	(	PUNCT
ejpam-5538	24	29	r.	r.	PROPN
ejpam-5538	24	30	alfarisi	alfarisi	PROPN
ejpam-5538	24	31	)	)	PUNCT
ejpam-5538	24	32	https://www.ejpam.com	https://www.ejpam.com	NOUN
ejpam-5538	24	33	3994	3994	NUM
ejpam-5538	25	1	copyright	copyright	NOUN
ejpam-5538	25	2	:	:	PUNCT
ejpam-5538	25	3	©	©	PROPN
ejpam-5538	25	4	2024	2024	NUM
ejpam-5538	25	5	the	the	DET
ejpam-5538	25	6	author(s	author(s	NOUN
ejpam-5538	25	7	)	)	PUNCT
ejpam-5538	25	8	.	.	PUNCT
ejpam-5538	26	1	(	(	PUNCT
ejpam-5538	26	2	cc	cc	NOUN
ejpam-5538	26	3	by	by	ADP
ejpam-5538	26	4	-	-	PUNCT
ejpam-5538	26	5	nc	nc	PROPN
ejpam-5538	26	6	4.0	4.0	NUM
ejpam-5538	26	7	)	)	PUNCT
ejpam-5538	26	8	k.	k.	PROPN
ejpam-5538	26	9	a.	a.	PROPN
ejpam-5538	26	10	santoso	santoso	PROPN
ejpam-5538	26	11	et	et	PROPN
ejpam-5538	26	12	al	al	PROPN
ejpam-5538	26	13	.	.	PUNCT
ejpam-5538	26	14	/	/	SYM
ejpam-5538	26	15	eur	eur	PROPN
ejpam-5538	26	16	.	.	PUNCT
ejpam-5538	27	1	j.	j.	PROPN
ejpam-5538	27	2	pure	pure	PROPN
ejpam-5538	27	3	appl	appl	PROPN
ejpam-5538	27	4	.	.	PROPN
ejpam-5538	27	5	math	math	PROPN
ejpam-5538	27	6	,	,	PUNCT
ejpam-5538	27	7	17	17	NUM
ejpam-5538	27	8	(	(	PUNCT
ejpam-5538	27	9	4	4	NUM
ejpam-5538	27	10	)	)	PUNCT
ejpam-5538	27	11	(	(	PUNCT
ejpam-5538	27	12	2024	2024	NUM
ejpam-5538	27	13	)	)	PUNCT
ejpam-5538	27	14	,	,	PUNCT
ejpam-5538	27	15	3994	3994	NUM
ejpam-5538	27	16	-	-	SYM
ejpam-5538	27	17	4002	4002	NUM
ejpam-5538	27	18	3995	3995	NUM
ejpam-5538	27	19	the	the	DET
ejpam-5538	27	20	weight	weight	NOUN
ejpam-5538	27	21	wt(x	wt(x	NUM
ejpam-5538	27	22	)	)	PUNCT
ejpam-5538	27	23	of	of	ADP
ejpam-5538	27	24	vertex	vertex	NOUN
ejpam-5538	27	25	x	x	NOUN
ejpam-5538	27	26	in	in	ADP
ejpam-5538	27	27	g	g	PROPN
ejpam-5538	27	28	is	be	AUX
ejpam-5538	27	29	defined	define	VERB
ejpam-5538	27	30	as	as	ADP
ejpam-5538	27	31	the	the	DET
ejpam-5538	27	32	sum	sum	NOUN
ejpam-5538	27	33	of	of	ADP
ejpam-5538	27	34	the	the	DET
ejpam-5538	27	35	labels	label	NOUN
ejpam-5538	27	36	of	of	ADP
ejpam-5538	27	37	all	all	DET
ejpam-5538	27	38	vertices	vertex	NOUN
ejpam-5538	27	39	adjacent	adjacent	ADJ
ejpam-5538	27	40	to	to	ADP
ejpam-5538	27	41	x	x	SYM
ejpam-5538	27	42	(	(	PUNCT
ejpam-5538	27	43	distance	distance	NOUN
ejpam-5538	27	44	1	1	NUM
ejpam-5538	27	45	from	from	ADP
ejpam-5538	27	46	x	x	NOUN
ejpam-5538	27	47	)	)	PUNCT
ejpam-5538	27	48	,	,	PUNCT
ejpam-5538	27	49	wt(x	wt(x	NUM
ejpam-5538	27	50	)	)	PUNCT
ejpam-5538	28	1	=	=	PUNCT
ejpam-5538	28	2	σy∈n(x)(y	σy∈n(x)(y	PROPN
ejpam-5538	28	3	)	)	PUNCT
ejpam-5538	28	4	with	with	ADP
ejpam-5538	28	5	n(x	n(x	PROPN
ejpam-5538	28	6	)	)	PUNCT
ejpam-5538	28	7	is	be	AUX
ejpam-5538	28	8	the	the	DET
ejpam-5538	28	9	set	set	VERB
ejpam-5538	28	10	x	x	NOUN
ejpam-5538	28	11	neighbors	neighbor	NOUN
ejpam-5538	28	12	.	.	PUNCT
ejpam-5538	29	1	the	the	DET
ejpam-5538	29	2	smallest	small	ADJ
ejpam-5538	29	3	integer	integer	NOUN
ejpam-5538	29	4	k	k	PROPN
ejpam-5538	29	5	in	in	ADP
ejpam-5538	29	6	this	this	DET
ejpam-5538	29	7	labeling	labeling	NOUN
ejpam-5538	29	8	is	be	AUX
ejpam-5538	29	9	the	the	DET
ejpam-5538	29	10	distance	distance	NOUN
ejpam-5538	29	11	irregularity	irregularity	NOUN
ejpam-5538	29	12	strength	strength	NOUN
ejpam-5538	29	13	of	of	ADP
ejpam-5538	29	14	g	g	NOUN
ejpam-5538	29	15	and	and	CCONJ
ejpam-5538	29	16	denoted	denote	VERB
ejpam-5538	29	17	as	as	ADP
ejpam-5538	29	18	dis(g	dis(g	PROPN
ejpam-5538	29	19	)	)	PUNCT
ejpam-5538	29	20	.	.	PUNCT
ejpam-5538	30	1	the	the	DET
ejpam-5538	30	2	difference	difference	NOUN
ejpam-5538	30	3	between	between	ADP
ejpam-5538	30	4	inclusive	inclusive	ADJ
ejpam-5538	30	5	and	and	CCONJ
ejpam-5538	30	6	non	non	ADJ
ejpam-5538	30	7	-	-	ADJ
ejpam-5538	30	8	inclusive	inclusive	ADJ
ejpam-5538	30	9	vertex	vertex	NOUN
ejpam-5538	30	10	irregular	irregular	ADJ
ejpam-5538	30	11	labeling	labeling	NOUN
ejpam-5538	30	12	depend	depend	VERB
ejpam-5538	30	13	on	on	ADP
ejpam-5538	30	14	the	the	DET
ejpam-5538	30	15	way	way	NOUN
ejpam-5538	30	16	to	to	PART
ejpam-5538	30	17	calculate	calculate	VERB
ejpam-5538	30	18	the	the	DET
ejpam-5538	30	19	vertex	vertex	NOUN
ejpam-5538	30	20	weight	weight	NOUN
ejpam-5538	30	21	whether	whether	SCONJ
ejpam-5538	30	22	the	the	DET
ejpam-5538	30	23	label	label	NOUN
ejpam-5538	30	24	of	of	ADP
ejpam-5538	30	25	vertex	vertex	NOUN
ejpam-5538	30	26	we	we	PRON
ejpam-5538	30	27	calculate	calculate	VERB
ejpam-5538	30	28	its	its	PRON
ejpam-5538	30	29	weight	weight	NOUN
ejpam-5538	30	30	is	be	AUX
ejpam-5538	30	31	included	include	VERB
ejpam-5538	30	32	or	or	CCONJ
ejpam-5538	30	33	not	not	PART
ejpam-5538	30	34	.	.	PUNCT
ejpam-5538	31	1	consequently	consequently	ADV
ejpam-5538	31	2	,	,	PUNCT
ejpam-5538	31	3	the	the	DET
ejpam-5538	31	4	first	first	ADJ
ejpam-5538	31	5	concept	concept	NOUN
ejpam-5538	31	6	that	that	PRON
ejpam-5538	31	7	slamin	slamin	PROPN
ejpam-5538	31	8	introduced	introduce	VERB
ejpam-5538	31	9	is	be	AUX
ejpam-5538	31	10	categorized	categorize	VERB
ejpam-5538	31	11	as	as	ADP
ejpam-5538	31	12	non	non	ADJ
ejpam-5538	31	13	-	-	ADJ
ejpam-5538	31	14	inclusive	inclusive	ADJ
ejpam-5538	31	15	vertex	vertex	NOUN
ejpam-5538	31	16	irregular	irregular	ADJ
ejpam-5538	31	17	labeling	labeling	NOUN
ejpam-5538	31	18	.	.	PUNCT
ejpam-5538	32	1	representation	representation	NOUN
ejpam-5538	32	2	of	of	ADP
ejpam-5538	32	3	graph	graph	NOUN
ejpam-5538	32	4	normally	normally	ADV
ejpam-5538	32	5	modeled	model	VERB
ejpam-5538	32	6	by	by	ADP
ejpam-5538	32	7	circles	circle	NOUN
ejpam-5538	32	8	and	and	CCONJ
ejpam-5538	32	9	lines	line	NOUN
ejpam-5538	32	10	,	,	PUNCT
ejpam-5538	32	11	but	but	CCONJ
ejpam-5538	32	12	this	this	DET
ejpam-5538	32	13	model	model	NOUN
ejpam-5538	32	14	is	be	AUX
ejpam-5538	32	15	not	not	PART
ejpam-5538	32	16	suited	suit	VERB
ejpam-5538	32	17	for	for	ADP
ejpam-5538	32	18	big	big	ADJ
ejpam-5538	32	19	sized	sized	ADJ
ejpam-5538	32	20	graph	graph	NOUN
ejpam-5538	32	21	.	.	PUNCT
ejpam-5538	33	1	another	another	DET
ejpam-5538	33	2	way	way	NOUN
ejpam-5538	33	3	to	to	PART
ejpam-5538	33	4	represent	represent	VERB
ejpam-5538	33	5	graph	graph	NOUN
ejpam-5538	33	6	is	be	AUX
ejpam-5538	33	7	with	with	ADP
ejpam-5538	33	8	listing	list	VERB
ejpam-5538	33	9	the	the	DET
ejpam-5538	33	10	adjacent	adjacent	ADJ
ejpam-5538	33	11	vertices	vertex	NOUN
ejpam-5538	33	12	for	for	ADP
ejpam-5538	33	13	every	every	DET
ejpam-5538	33	14	vertex	vertex	NOUN
ejpam-5538	33	15	in	in	ADP
ejpam-5538	33	16	the	the	DET
ejpam-5538	33	17	graph	graph	NOUN
ejpam-5538	33	18	,	,	PUNCT
ejpam-5538	33	19	called	call	VERB
ejpam-5538	33	20	adjacency	adjacency	NOUN
ejpam-5538	33	21	matrix	matrix	NOUN
ejpam-5538	33	22	and	and	CCONJ
ejpam-5538	33	23	denoted	denote	VERB
ejpam-5538	33	24	as	as	ADP
ejpam-5538	33	25	a(g	a(g	PROPN
ejpam-5538	33	26	)	)	PUNCT
ejpam-5538	33	27	.	.	PUNCT
ejpam-5538	34	1	elements	element	NOUN
ejpam-5538	34	2	of	of	ADP
ejpam-5538	34	3	a(i	a(i	PROPN
ejpam-5538	34	4	,	,	PUNCT
ejpam-5538	34	5	j	j	NOUN
ejpam-5538	34	6	)	)	PUNCT
ejpam-5538	34	7	=	=	SYM
ejpam-5538	34	8	1	1	NUM
ejpam-5538	34	9	if	if	SCONJ
ejpam-5538	34	10	there	there	PRON
ejpam-5538	34	11	exist	exist	VERB
ejpam-5538	34	12	edge	edge	NOUN
ejpam-5538	34	13	that	that	PRON
ejpam-5538	34	14	connect	connect	VERB
ejpam-5538	34	15	vertex	vertex	NOUN
ejpam-5538	34	16	i	i	PRON
ejpam-5538	34	17	and	and	CCONJ
ejpam-5538	34	18	vertex	vertex	PROPN
ejpam-5538	34	19	j	j	PROPN
ejpam-5538	34	20	,	,	PUNCT
ejpam-5538	34	21	otherwise	otherwise	ADV
ejpam-5538	34	22	a(i	a(i	VERB
ejpam-5538	34	23	,	,	PUNCT
ejpam-5538	34	24	j	j	NOUN
ejpam-5538	34	25	)	)	PUNCT
ejpam-5538	34	26	=	=	SYM
ejpam-5538	35	1	0	0	X
ejpam-5538	35	2	.	.	PUNCT
ejpam-5538	35	3	li	li	PROPN
ejpam-5538	36	1	[	[	X
ejpam-5538	36	2	5	5	NUM
ejpam-5538	36	3	]	]	PUNCT
ejpam-5538	36	4	explained	explain	VERB
ejpam-5538	36	5	that	that	SCONJ
ejpam-5538	36	6	there	there	PRON
ejpam-5538	36	7	are	be	VERB
ejpam-5538	36	8	several	several	ADJ
ejpam-5538	36	9	ways	way	NOUN
ejpam-5538	36	10	to	to	PART
ejpam-5538	36	11	increase	increase	VERB
ejpam-5538	36	12	storage	storage	NOUN
ejpam-5538	36	13	space	space	NOUN
ejpam-5538	36	14	efficiency	efficiency	NOUN
ejpam-5538	36	15	in	in	ADP
ejpam-5538	36	16	graph	graph	NOUN
ejpam-5538	36	17	data	datum	NOUN
ejpam-5538	36	18	.	.	PUNCT
ejpam-5538	37	1	for	for	ADP
ejpam-5538	37	2	example	example	NOUN
ejpam-5538	37	3	adjacency	adjacency	NOUN
ejpam-5538	37	4	matrix	matrix	NOUN
ejpam-5538	37	5	of	of	ADP
ejpam-5538	37	6	undirected	undirected	ADJ
ejpam-5538	37	7	simple	simple	ADJ
ejpam-5538	37	8	graph	graph	NOUN
ejpam-5538	37	9	always	always	ADV
ejpam-5538	37	10	symmetric	symmetric	ADJ
ejpam-5538	37	11	in	in	ADP
ejpam-5538	37	12	its	its	PRON
ejpam-5538	37	13	main	main	ADJ
ejpam-5538	37	14	diagonal	diagonal	NOUN
ejpam-5538	37	15	.	.	PUNCT
ejpam-5538	38	1	so	so	ADV
ejpam-5538	38	2	,	,	PUNCT
ejpam-5538	38	3	we	we	PRON
ejpam-5538	38	4	can	can	AUX
ejpam-5538	38	5	cut	cut	VERB
ejpam-5538	38	6	off	off	ADP
ejpam-5538	38	7	the	the	DET
ejpam-5538	38	8	upper	upper	ADJ
ejpam-5538	38	9	or	or	CCONJ
ejpam-5538	38	10	lower	low	ADJ
ejpam-5538	38	11	triangular	triangular	NOUN
ejpam-5538	38	12	matrix	matrix	NOUN
ejpam-5538	38	13	to	to	PART
ejpam-5538	38	14	reduce	reduce	VERB
ejpam-5538	38	15	its	its	PRON
ejpam-5538	38	16	storage	storage	NOUN
ejpam-5538	38	17	space	space	NOUN
ejpam-5538	38	18	.	.	PUNCT
ejpam-5538	39	1	genetic	genetic	ADJ
ejpam-5538	39	2	algorithm	algorithm	NOUN
ejpam-5538	39	3	is	be	AUX
ejpam-5538	39	4	a	a	DET
ejpam-5538	39	5	searching	searching	NOUN
ejpam-5538	39	6	method	method	NOUN
ejpam-5538	39	7	inspired	inspire	VERB
ejpam-5538	39	8	from	from	ADP
ejpam-5538	39	9	darwin	darwin	PROPN
ejpam-5538	39	10	’s	’s	PART
ejpam-5538	39	11	theory	theory	NOUN
ejpam-5538	39	12	of	of	ADP
ejpam-5538	39	13	evolution	evolution	NOUN
ejpam-5538	39	14	,	,	PUNCT
ejpam-5538	39	15	which	which	PRON
ejpam-5538	39	16	states	state	VERB
ejpam-5538	39	17	that	that	SCONJ
ejpam-5538	39	18	the	the	DET
ejpam-5538	39	19	survival	survival	NOUN
ejpam-5538	39	20	of	of	ADP
ejpam-5538	39	21	a	a	DET
ejpam-5538	39	22	creature	creature	NOUN
ejpam-5538	39	23	is	be	AUX
ejpam-5538	39	24	influenced	influence	VERB
ejpam-5538	39	25	by	by	ADP
ejpam-5538	39	26	the	the	DET
ejpam-5538	39	27	strong	strong	ADJ
ejpam-5538	39	28	rule	rule	NOUN
ejpam-5538	39	29	to	to	PART
ejpam-5538	39	30	produce	produce	VERB
ejpam-5538	39	31	offspring	offspring	NOUN
ejpam-5538	39	32	of	of	ADP
ejpam-5538	39	33	the	the	DET
ejpam-5538	39	34	next	next	ADJ
ejpam-5538	39	35	generation	generation	NOUN
ejpam-5538	40	1	[	[	X
ejpam-5538	40	2	6	6	NUM
ejpam-5538	40	3	]	]	PUNCT
ejpam-5538	40	4	.	.	PUNCT
ejpam-5538	41	1	based	base	VERB
ejpam-5538	41	2	on	on	ADP
ejpam-5538	41	3	theory	theory	NOUN
ejpam-5538	41	4	of	of	ADP
ejpam-5538	41	5	evolution	evolution	NOUN
ejpam-5538	41	6	,	,	PUNCT
ejpam-5538	41	7	genetic	genetic	ADJ
ejpam-5538	41	8	algorithm	algorithm	NOUN
ejpam-5538	41	9	can	can	AUX
ejpam-5538	41	10	be	be	AUX
ejpam-5538	41	11	used	use	VERB
ejpam-5538	41	12	to	to	PART
ejpam-5538	41	13	find	find	VERB
ejpam-5538	41	14	a	a	DET
ejpam-5538	41	15	solution	solution	NOUN
ejpam-5538	41	16	to	to	ADP
ejpam-5538	41	17	optimization	optimization	NOUN
ejpam-5538	41	18	problems	problem	NOUN
ejpam-5538	41	19	[	[	X
ejpam-5538	41	20	7	7	NUM
ejpam-5538	41	21	]	]	PUNCT
ejpam-5538	41	22	.	.	PUNCT
ejpam-5538	42	1	genetic	genetic	ADJ
ejpam-5538	42	2	algorithm	algorithm	NOUN
ejpam-5538	42	3	has	have	AUX
ejpam-5538	42	4	been	be	AUX
ejpam-5538	42	5	used	use	VERB
ejpam-5538	42	6	widely	widely	ADV
ejpam-5538	42	7	in	in	ADP
ejpam-5538	42	8	the	the	DET
ejpam-5538	42	9	fields	field	NOUN
ejpam-5538	42	10	of	of	ADP
ejpam-5538	42	11	science	science	NOUN
ejpam-5538	42	12	and	and	CCONJ
ejpam-5538	42	13	technology	technology	NOUN
ejpam-5538	42	14	.	.	PUNCT
ejpam-5538	43	1	its	its	PRON
ejpam-5538	43	2	famous	famous	ADJ
ejpam-5538	43	3	applications	application	NOUN
ejpam-5538	43	4	are	be	AUX
ejpam-5538	43	5	finding	find	VERB
ejpam-5538	43	6	optimal	optimal	ADJ
ejpam-5538	43	7	solutions	solution	NOUN
ejpam-5538	43	8	to	to	ADP
ejpam-5538	43	9	multi	multi	ADJ
ejpam-5538	43	10	-	-	ADJ
ejpam-5538	43	11	objective	objective	ADJ
ejpam-5538	43	12	optimization	optimization	NOUN
ejpam-5538	43	13	problems	problem	NOUN
ejpam-5538	43	14	[	[	X
ejpam-5538	43	15	8	8	NUM
ejpam-5538	43	16	]	]	PUNCT
ejpam-5538	43	17	.	.	PUNCT
ejpam-5538	44	1	genetic	genetic	ADJ
ejpam-5538	44	2	algorithm	algorithm	NOUN
ejpam-5538	44	3	consists	consist	VERB
ejpam-5538	44	4	of	of	ADP
ejpam-5538	44	5	generate	generate	VERB
ejpam-5538	44	6	initial	initial	ADJ
ejpam-5538	44	7	popolation	popolation	NOUN
ejpam-5538	44	8	chromosome	chromosome	NOUN
ejpam-5538	44	9	,	,	PUNCT
ejpam-5538	44	10	evaluate	evaluate	VERB
ejpam-5538	44	11	fitness	fitness	NOUN
ejpam-5538	44	12	function	function	NOUN
ejpam-5538	44	13	,	,	PUNCT
ejpam-5538	44	14	and	and	CCONJ
ejpam-5538	44	15	genetic	genetic	ADJ
ejpam-5538	44	16	operations	operation	NOUN
ejpam-5538	44	17	which	which	PRON
ejpam-5538	44	18	are	be	AUX
ejpam-5538	44	19	selection	selection	NOUN
ejpam-5538	44	20	,	,	PUNCT
ejpam-5538	44	21	crossover	crossover	NOUN
ejpam-5538	44	22	,	,	PUNCT
ejpam-5538	44	23	and	and	CCONJ
ejpam-5538	44	24	mutation	mutation	NOUN
ejpam-5538	44	25	[	[	X
ejpam-5538	44	26	9	9	NUM
ejpam-5538	44	27	]	]	PUNCT
ejpam-5538	44	28	.	.	PUNCT
ejpam-5538	45	1	genetic	genetic	ADJ
ejpam-5538	45	2	operation	operation	NOUN
ejpam-5538	45	3	will	will	AUX
ejpam-5538	45	4	produce	produce	VERB
ejpam-5538	45	5	new	new	ADJ
ejpam-5538	45	6	chromosome	chromosome	NOUN
ejpam-5538	45	7	that	that	PRON
ejpam-5538	45	8	will	will	AUX
ejpam-5538	45	9	be	be	AUX
ejpam-5538	45	10	the	the	DET
ejpam-5538	45	11	next	next	ADJ
ejpam-5538	45	12	generation	generation	NOUN
ejpam-5538	46	1	[	[	X
ejpam-5538	46	2	10	10	NUM
ejpam-5538	46	3	]	]	PUNCT
ejpam-5538	46	4	.	.	PUNCT
ejpam-5538	47	1	this	this	DET
ejpam-5538	47	2	method	method	NOUN
ejpam-5538	47	3	already	already	ADV
ejpam-5538	47	4	used	use	VERB
ejpam-5538	47	5	in	in	ADP
ejpam-5538	47	6	various	various	ADJ
ejpam-5538	47	7	fields	field	NOUN
ejpam-5538	47	8	,	,	PUNCT
ejpam-5538	47	9	especially	especially	ADV
ejpam-5538	47	10	in	in	ADP
ejpam-5538	47	11	optimization	optimization	NOUN
ejpam-5538	47	12	problems	problem	NOUN
ejpam-5538	47	13	[	[	X
ejpam-5538	47	14	11	11	NUM
ejpam-5538	47	15	,	,	PUNCT
ejpam-5538	47	16	12	12	NUM
ejpam-5538	47	17	,	,	PUNCT
ejpam-5538	47	18	13	13	NUM
ejpam-5538	47	19	]	]	PUNCT
ejpam-5538	47	20	.	.	PUNCT
ejpam-5538	48	1	in	in	ADP
ejpam-5538	48	2	[	[	X
ejpam-5538	48	3	14	14	NUM
ejpam-5538	48	4	]	]	X
ejpam-5538	48	5	,	,	PUNCT
ejpam-5538	48	6	genetic	genetic	ADJ
ejpam-5538	48	7	algorithm	algorithm	NOUN
ejpam-5538	48	8	also	also	ADV
ejpam-5538	48	9	used	use	VERB
ejpam-5538	48	10	in	in	ADP
ejpam-5538	48	11	covid-19	covid-19	PROPN
ejpam-5538	48	12	problems	problem	NOUN
ejpam-5538	48	13	with	with	ADP
ejpam-5538	48	14	graph	graph	NOUN
ejpam-5538	48	15	as	as	ADP
ejpam-5538	48	16	the	the	DET
ejpam-5538	48	17	representation	representation	NOUN
ejpam-5538	48	18	of	of	ADP
ejpam-5538	48	19	the	the	DET
ejpam-5538	48	20	problem	problem	NOUN
ejpam-5538	48	21	.	.	PUNCT
ejpam-5538	49	1	in	in	ADP
ejpam-5538	49	2	previous	previous	ADJ
ejpam-5538	49	3	research	research	NOUN
ejpam-5538	49	4	,	,	PUNCT
ejpam-5538	49	5	genetic	genetic	ADJ
ejpam-5538	49	6	algorithms	algorithm	NOUN
ejpam-5538	49	7	were	be	AUX
ejpam-5538	49	8	used	use	VERB
ejpam-5538	49	9	to	to	PART
ejpam-5538	49	10	solve	solve	VERB
ejpam-5538	49	11	the	the	DET
ejpam-5538	49	12	labeling	labeling	NOUN
ejpam-5538	49	13	of	of	ADP
ejpam-5538	49	14	inclusive	inclusive	ADJ
ejpam-5538	49	15	irregular	irregular	ADJ
ejpam-5538	49	16	vertex	vertex	NOUN
ejpam-5538	49	17	.	.	PUNCT
ejpam-5538	50	1	in	in	ADP
ejpam-5538	50	2	this	this	DET
ejpam-5538	50	3	research	research	NOUN
ejpam-5538	50	4	,	,	PUNCT
ejpam-5538	50	5	genetic	genetic	ADJ
ejpam-5538	50	6	algorithms	algorithm	NOUN
ejpam-5538	50	7	are	be	AUX
ejpam-5538	50	8	used	use	VERB
ejpam-5538	50	9	to	to	PART
ejpam-5538	50	10	solve	solve	VERB
ejpam-5538	50	11	the	the	DET
ejpam-5538	50	12	problem	problem	NOUN
ejpam-5538	50	13	of	of	ADP
ejpam-5538	50	14	labeling	label	VERB
ejpam-5538	50	15	non	non	ADJ
ejpam-5538	50	16	-	-	ADJ
ejpam-5538	50	17	inclusive	inclusive	ADJ
ejpam-5538	50	18	irregular	irregular	ADJ
ejpam-5538	50	19	vertex	vertex	NOUN
ejpam-5538	50	20	.	.	PUNCT
ejpam-5538	51	1	2	2	X
ejpam-5538	51	2	.	.	X
ejpam-5538	51	3	the	the	DET
ejpam-5538	51	4	method	method	NOUN
ejpam-5538	51	5	the	the	DET
ejpam-5538	51	6	following	follow	VERB
ejpam-5538	51	7	are	be	AUX
ejpam-5538	51	8	steps	step	NOUN
ejpam-5538	51	9	to	to	PART
ejpam-5538	51	10	solve	solve	VERB
ejpam-5538	51	11	the	the	DET
ejpam-5538	51	12	problem	problem	NOUN
ejpam-5538	51	13	of	of	ADP
ejpam-5538	51	14	labeling	label	VERB
ejpam-5538	51	15	non	non	ADJ
ejpam-5538	51	16	-	-	ADJ
ejpam-5538	51	17	inclusive	inclusive	ADJ
ejpam-5538	51	18	irregular	irregular	ADJ
ejpam-5538	51	19	points	point	NOUN
ejpam-5538	51	20	using	use	VERB
ejpam-5538	51	21	a	a	DET
ejpam-5538	51	22	genetic	genetic	ADJ
ejpam-5538	51	23	algorithm	algorithm	NOUN
ejpam-5538	51	24	.	.	PUNCT
ejpam-5538	52	1	1	1	X
ejpam-5538	52	2	.	.	X
ejpam-5538	52	3	change	change	VERB
ejpam-5538	52	4	the	the	DET
ejpam-5538	52	5	graph	graph	NOUN
ejpam-5538	52	6	to	to	PART
ejpam-5538	52	7	be	be	AUX
ejpam-5538	52	8	labeled	label	VERB
ejpam-5538	52	9	into	into	ADP
ejpam-5538	52	10	an	an	DET
ejpam-5538	52	11	adjacency	adjacency	NOUN
ejpam-5538	52	12	matrix	matrix	NOUN
ejpam-5538	52	13	(	(	PUNCT
ejpam-5538	52	14	a	a	X
ejpam-5538	52	15	)	)	PUNCT
ejpam-5538	52	16	as	as	SCONJ
ejpam-5538	52	17	shown	show	VERB
ejpam-5538	52	18	in	in	ADP
ejpam-5538	52	19	figure	figure	NOUN
ejpam-5538	52	20	1	1	NUM
ejpam-5538	52	21	as	as	ADP
ejpam-5538	52	22	the	the	DET
ejpam-5538	52	23	example	example	NOUN
ejpam-5538	52	24	.	.	PUNCT
ejpam-5538	53	1	2	2	X
ejpam-5538	53	2	.	.	X
ejpam-5538	53	3	generate	generate	VERB
ejpam-5538	53	4	chromosomes	chromosome	NOUN
ejpam-5538	53	5	with	with	ADP
ejpam-5538	53	6	n	n	NOUN
ejpam-5538	53	7	genes	gene	NOUN
ejpam-5538	53	8	as	as	ADP
ejpam-5538	53	9	random	random	ADJ
ejpam-5538	53	10	numbers	number	NOUN
ejpam-5538	53	11	(	(	PUNCT
ejpam-5538	53	12	0	0	NUM
ejpam-5538	53	13	-	-	PUNCT
ejpam-5538	53	14	n	n	NUM
ejpam-5538	53	15	)	)	PUNCT
ejpam-5538	53	16	,	,	PUNCT
ejpam-5538	53	17	with	with	ADP
ejpam-5538	53	18	n	n	PRON
ejpam-5538	53	19	being	be	AUX
ejpam-5538	53	20	the	the	DET
ejpam-5538	53	21	number	number	NOUN
ejpam-5538	53	22	of	of	ADP
ejpam-5538	53	23	points	point	NOUN
ejpam-5538	53	24	on	on	ADP
ejpam-5538	53	25	the	the	DET
ejpam-5538	53	26	labeled	label	VERB
ejpam-5538	53	27	label	label	NOUN
ejpam-5538	53	28	.	.	PUNCT
ejpam-5538	54	1	chromosomes	chromosome	NOUN
ejpam-5538	54	2	here	here	ADV
ejpam-5538	54	3	can	can	AUX
ejpam-5538	54	4	be	be	AUX
ejpam-5538	54	5	interpreted	interpret	VERB
ejpam-5538	54	6	as	as	ADP
ejpam-5538	54	7	possible	possible	ADJ
ejpam-5538	54	8	solutions	solution	NOUN
ejpam-5538	54	9	.	.	PUNCT
ejpam-5538	55	1	figure	figure	NOUN
ejpam-5538	55	2	2	2	NUM
ejpam-5538	55	3	shows	show	VERB
ejpam-5538	55	4	possible	possible	ADJ
ejpam-5538	55	5	solutions	solution	NOUN
ejpam-5538	55	6	/	/	SYM
ejpam-5538	55	7	chromosomes	chromosome	NOUN
ejpam-5538	55	8	k.	k.	PROPN
ejpam-5538	55	9	a.	a.	PROPN
ejpam-5538	55	10	santoso	santoso	PROPN
ejpam-5538	55	11	et	et	PROPN
ejpam-5538	55	12	al	al	PROPN
ejpam-5538	55	13	.	.	PUNCT
ejpam-5538	55	14	/	/	SYM
ejpam-5538	55	15	eur	eur	PROPN
ejpam-5538	55	16	.	.	PUNCT
ejpam-5538	56	1	j.	j.	PROPN
ejpam-5538	56	2	pure	pure	PROPN
ejpam-5538	56	3	appl	appl	PROPN
ejpam-5538	56	4	.	.	PROPN
ejpam-5538	56	5	math	math	PROPN
ejpam-5538	56	6	,	,	PUNCT
ejpam-5538	56	7	17	17	NUM
ejpam-5538	56	8	(	(	PUNCT
ejpam-5538	56	9	4	4	NUM
ejpam-5538	56	10	)	)	PUNCT
ejpam-5538	56	11	(	(	PUNCT
ejpam-5538	56	12	2024	2024	NUM
ejpam-5538	56	13	)	)	PUNCT
ejpam-5538	56	14	,	,	PUNCT
ejpam-5538	56	15	3994	3994	NUM
ejpam-5538	56	16	-	-	SYM
ejpam-5538	56	17	4002	4002	NUM
ejpam-5538	56	18	3996	3996	NUM
ejpam-5538	56	19	figure	figure	NOUN
ejpam-5538	56	20	1	1	NUM
ejpam-5538	56	21	:	:	PUNCT
ejpam-5538	56	22	graph	graph	NOUN
ejpam-5538	56	23	and	and	CCONJ
ejpam-5538	56	24	adjacency	adjacency	NOUN
ejpam-5538	56	25	matrix	matrix	NOUN
ejpam-5538	56	26	figure	figure	NOUN
ejpam-5538	56	27	2	2	NUM
ejpam-5538	56	28	:	:	PUNCT
ejpam-5538	56	29	chromosome	chromosome	VERB
ejpam-5538	56	30	/	/	SYM
ejpam-5538	56	31	possible	possible	ADJ
ejpam-5538	56	32	solution	solution	NOUN
ejpam-5538	56	33	3	3	NUM
ejpam-5538	56	34	.	.	PUNCT
ejpam-5538	56	35	find	find	VERB
ejpam-5538	56	36	the	the	DET
ejpam-5538	56	37	weight	weight	NOUN
ejpam-5538	56	38	of	of	ADP
ejpam-5538	56	39	each	each	DET
ejpam-5538	56	40	point	point	NOUN
ejpam-5538	56	41	by	by	ADP
ejpam-5538	56	42	multiplying	multiply	VERB
ejpam-5538	56	43	the	the	DET
ejpam-5538	56	44	adjacency	adjacency	NOUN
ejpam-5538	56	45	matrix	matrix	NOUN
ejpam-5538	56	46	by	by	ADP
ejpam-5538	56	47	a	a	DET
ejpam-5538	56	48	random	random	ADJ
ejpam-5538	56	49	number	number	NOUN
ejpam-5538	56	50	(	(	PUNCT
ejpam-5538	56	51	chromosome	chromosome	NOUN
ejpam-5538	56	52	)	)	PUNCT
ejpam-5538	56	53	.	.	PUNCT
ejpam-5538	57	1	figure	figure	NOUN
ejpam-5538	57	2	3	3	NUM
ejpam-5538	57	3	is	be	AUX
ejpam-5538	57	4	the	the	DET
ejpam-5538	57	5	process	process	NOUN
ejpam-5538	57	6	of	of	ADP
ejpam-5538	57	7	calculating	calculate	VERB
ejpam-5538	57	8	the	the	DET
ejpam-5538	57	9	weight	weight	NOUN
ejpam-5538	57	10	value	value	NOUN
ejpam-5538	57	11	of	of	ADP
ejpam-5538	57	12	each	each	DET
ejpam-5538	57	13	vertex	vertex	NOUN
ejpam-5538	57	14	.	.	PUNCT
ejpam-5538	58	1	4	4	X
ejpam-5538	58	2	.	.	X
ejpam-5538	58	3	multiply	multiply	VERB
ejpam-5538	58	4	each	each	DET
ejpam-5538	58	5	row	row	NOUN
ejpam-5538	58	6	of	of	ADP
ejpam-5538	58	7	the	the	DET
ejpam-5538	58	8	adjacency	adjacency	NOUN
ejpam-5538	58	9	matrix	matrix	NOUN
ejpam-5538	58	10	by	by	ADP
ejpam-5538	58	11	the	the	DET
ejpam-5538	58	12	chromosome	chromosome	NOUN
ejpam-5538	58	13	weight	weight	NOUN
ejpam-5538	58	14	(	(	PUNCT
ejpam-5538	58	15	a.*wi	a.*wi	X
ejpam-5538	58	16	)	)	PUNCT
ejpam-5538	58	17	.	.	PUNCT
ejpam-5538	59	1	figure	figure	NOUN
ejpam-5538	59	2	4	4	NUM
ejpam-5538	59	3	shows	show	VERB
ejpam-5538	59	4	the	the	DET
ejpam-5538	59	5	result	result	NOUN
ejpam-5538	59	6	of	of	ADP
ejpam-5538	59	7	multiplying	multiply	VERB
ejpam-5538	59	8	the	the	DET
ejpam-5538	59	9	adjacency	adjacency	NOUN
ejpam-5538	59	10	matrix	matrix	NOUN
ejpam-5538	59	11	by	by	ADP
ejpam-5538	59	12	chromosome	chromosome	NOUN
ejpam-5538	59	13	w1	w1	NOUN
ejpam-5538	59	14	.	.	PUNCT
ejpam-5538	60	1	5	5	NUM
ejpam-5538	60	2	.	.	X
ejpam-5538	60	3	evaluate	evaluate	VERB
ejpam-5538	60	4	the	the	DET
ejpam-5538	60	5	results	result	NOUN
ejpam-5538	60	6	of	of	ADP
ejpam-5538	60	7	the	the	DET
ejpam-5538	60	8	matrix	matrix	NOUN
ejpam-5538	60	9	multiplication	multiplication	NOUN
ejpam-5538	60	10	in	in	ADP
ejpam-5538	60	11	step	step	NOUN
ejpam-5538	60	12	3	3	NUM
ejpam-5538	60	13	.	.	PUNCT
ejpam-5538	61	1	if	if	SCONJ
ejpam-5538	61	2	in	in	ADP
ejpam-5538	61	3	one	one	NUM
ejpam-5538	61	4	row	row	NOUN
ejpam-5538	61	5	of	of	ADP
ejpam-5538	61	6	the	the	DET
ejpam-5538	61	7	matrix	matrix	NOUN
ejpam-5538	61	8	,	,	PUNCT
ejpam-5538	61	9	there	there	PRON
ejpam-5538	61	10	are	be	VERB
ejpam-5538	61	11	the	the	DET
ejpam-5538	61	12	same	same	ADJ
ejpam-5538	61	13	numbers	number	NOUN
ejpam-5538	61	14	>	>	X
ejpam-5538	61	15	0	0	PUNCT
ejpam-5538	62	1	then	then	ADV
ejpam-5538	62	2	the	the	DET
ejpam-5538	62	3	chromosome	chromosome	NOUN
ejpam-5538	62	4	is	be	AUX
ejpam-5538	62	5	not	not	PART
ejpam-5538	62	6	a	a	DET
ejpam-5538	62	7	non	non	ADJ
ejpam-5538	62	8	-	-	ADJ
ejpam-5538	62	9	inclusive	inclusive	ADJ
ejpam-5538	62	10	vertex	vertex	NOUN
ejpam-5538	62	11	labeling	labeling	NOUN
ejpam-5538	62	12	and	and	CCONJ
ejpam-5538	62	13	the	the	DET
ejpam-5538	62	14	process	process	NOUN
ejpam-5538	62	15	continues	continue	VERB
ejpam-5538	62	16	to	to	PART
ejpam-5538	62	17	step	step	VERB
ejpam-5538	62	18	5	5	NUM
ejpam-5538	62	19	.	.	PUNCT
ejpam-5538	63	1	if	if	SCONJ
ejpam-5538	63	2	in	in	ADP
ejpam-5538	63	3	each	each	DET
ejpam-5538	63	4	row	row	NOUN
ejpam-5538	63	5	of	of	ADP
ejpam-5538	63	6	the	the	DET
ejpam-5538	63	7	matrix	matrix	NOUN
ejpam-5538	63	8	,	,	PUNCT
ejpam-5538	63	9	there	there	PRON
ejpam-5538	63	10	are	be	VERB
ejpam-5538	63	11	no	no	DET
ejpam-5538	63	12	same	same	ADJ
ejpam-5538	63	13	numbers	number	NOUN
ejpam-5538	63	14	>	>	X
ejpam-5538	63	15	0	0	PUNCT
ejpam-5538	64	1	then	then	ADV
ejpam-5538	64	2	the	the	DET
ejpam-5538	64	3	chromosome	chromosome	NOUN
ejpam-5538	64	4	is	be	AUX
ejpam-5538	64	5	a	a	DET
ejpam-5538	64	6	non	non	ADJ
ejpam-5538	64	7	-	-	ADJ
ejpam-5538	64	8	inclusive	inclusive	ADJ
ejpam-5538	64	9	vertex	vertex	NOUN
ejpam-5538	64	10	labeling	labeling	NOUN
ejpam-5538	64	11	solution	solution	NOUN
ejpam-5538	64	12	and	and	CCONJ
ejpam-5538	64	13	the	the	DET
ejpam-5538	64	14	process	process	NOUN
ejpam-5538	64	15	ends	end	VERB
ejpam-5538	64	16	.	.	PUNCT
ejpam-5538	65	1	in	in	ADP
ejpam-5538	65	2	figure	figure	NOUN
ejpam-5538	65	3	4	4	NUM
ejpam-5538	65	4	,	,	PUNCT
ejpam-5538	65	5	column	column	NOUN
ejpam-5538	65	6	4	4	NUM
ejpam-5538	65	7	equal	equal	ADJ
ejpam-5538	65	8	to	to	ADP
ejpam-5538	65	9	column	column	NOUN
ejpam-5538	65	10	5	5	NUM
ejpam-5538	65	11	shows	show	VERB
ejpam-5538	65	12	that	that	SCONJ
ejpam-5538	65	13	this	this	DET
ejpam-5538	65	14	chromosome	chromosome	NOUN
ejpam-5538	65	15	is	be	AUX
ejpam-5538	65	16	not	not	PART
ejpam-5538	65	17	a	a	DET
ejpam-5538	65	18	solution	solution	NOUN
ejpam-5538	65	19	column	column	NOUN
ejpam-5538	65	20	4	4	NUM
ejpam-5538	65	21	shows	show	VERB
ejpam-5538	65	22	that	that	SCONJ
ejpam-5538	65	23	column	column	NOUN
ejpam-5538	65	24	1	1	NUM
ejpam-5538	65	25	equal	equal	ADJ
ejpam-5538	65	26	to	to	ADP
ejpam-5538	65	27	column	column	NOUN
ejpam-5538	65	28	3,so	3,so	NOUN
ejpam-5538	65	29	this	this	DET
ejpam-5538	65	30	chromosome	chromosome	NOUN
ejpam-5538	65	31	is	be	AUX
ejpam-5538	65	32	not	not	PART
ejpam-5538	65	33	a	a	DET
ejpam-5538	65	34	solution	solution	NOUN
ejpam-5538	65	35	based	base	VERB
ejpam-5538	65	36	on	on	ADP
ejpam-5538	65	37	the	the	DET
ejpam-5538	65	38	explanation	explanation	NOUN
ejpam-5538	65	39	above	above	ADV
ejpam-5538	65	40	,	,	PUNCT
ejpam-5538	65	41	it	it	PRON
ejpam-5538	65	42	can	can	AUX
ejpam-5538	65	43	be	be	AUX
ejpam-5538	65	44	concluded	conclude	VERB
ejpam-5538	65	45	that	that	SCONJ
ejpam-5538	65	46	this	this	DET
ejpam-5538	65	47	chromosome	chromosome	NOUN
ejpam-5538	65	48	is	be	AUX
ejpam-5538	65	49	not	not	PART
ejpam-5538	65	50	a	a	DET
ejpam-5538	65	51	non	non	ADJ
ejpam-5538	65	52	-	-	ADJ
ejpam-5538	65	53	inclusive	inclusive	ADJ
ejpam-5538	65	54	vertex	vertex	NOUN
ejpam-5538	65	55	labeling	labeling	NOUN
ejpam-5538	65	56	solution	solution	NOUN
ejpam-5538	65	57	.	.	PUNCT
ejpam-5538	66	1	because	because	SCONJ
ejpam-5538	66	2	the	the	DET
ejpam-5538	66	3	chromosome	chromosome	NOUN
ejpam-5538	66	4	does	do	AUX
ejpam-5538	66	5	not	not	PART
ejpam-5538	66	6	meet	meet	VERB
ejpam-5538	66	7	the	the	DET
ejpam-5538	66	8	labeling	labeling	NOUN
ejpam-5538	66	9	rules	rule	NOUN
ejpam-5538	66	10	,	,	PUNCT
ejpam-5538	66	11	the	the	DET
ejpam-5538	66	12	process	process	NOUN
ejpam-5538	66	13	continues	continue	VERB
ejpam-5538	66	14	to	to	PART
ejpam-5538	66	15	step	step	VERB
ejpam-5538	66	16	5	5	NUM
ejpam-5538	66	17	.	.	NOUN
ejpam-5538	67	1	6	6	NUM
ejpam-5538	67	2	.	.	X
ejpam-5538	67	3	cross	cross	ADJ
ejpam-5538	67	4	chromosomes	chromosome	NOUN
ejpam-5538	67	5	1	1	NUM
ejpam-5538	67	6	and	and	CCONJ
ejpam-5538	67	7	2	2	NUM
ejpam-5538	67	8	by	by	ADP
ejpam-5538	67	9	exchanging	exchange	VERB
ejpam-5538	67	10	the	the	DET
ejpam-5538	67	11	third	third	ADJ
ejpam-5538	67	12	gene	gene	NOUN
ejpam-5538	67	13	with	with	ADP
ejpam-5538	67	14	the	the	DET
ejpam-5538	67	15	first	first	ADJ
ejpam-5538	67	16	gene	gene	NOUN
ejpam-5538	67	17	and	and	CCONJ
ejpam-5538	67	18	the	the	DET
ejpam-5538	67	19	fourth	fourth	ADJ
ejpam-5538	67	20	gene	gene	NOUN
ejpam-5538	67	21	with	with	ADP
ejpam-5538	67	22	the	the	DET
ejpam-5538	67	23	third	third	ADJ
ejpam-5538	67	24	gene	gene	NOUN
ejpam-5538	67	25	.	.	PUNCT
ejpam-5538	68	1	the	the	DET
ejpam-5538	68	2	same	same	ADJ
ejpam-5538	68	3	thing	thing	NOUN
ejpam-5538	68	4	is	be	AUX
ejpam-5538	68	5	done	do	VERB
ejpam-5538	68	6	for	for	ADP
ejpam-5538	68	7	the	the	DET
ejpam-5538	68	8	cross	cross	NOUN
ejpam-5538	68	9	chromosomes	chromosome	NOUN
ejpam-5538	68	10	3	3	NUM
ejpam-5538	68	11	and	and	CCONJ
ejpam-5538	68	12	4	4	NUM
ejpam-5538	68	13	.	.	X
ejpam-5538	68	14	figure	figure	NOUN
ejpam-5538	68	15	5	5	NUM
ejpam-5538	68	16	shows	show	VERB
ejpam-5538	68	17	the	the	DET
ejpam-5538	68	18	crossover	crossover	NOUN
ejpam-5538	68	19	process	process	NOUN
ejpam-5538	68	20	and	and	CCONJ
ejpam-5538	68	21	results	result	NOUN
ejpam-5538	68	22	.	.	PUNCT
ejpam-5538	69	1	figure	figure	VERB
ejpam-5538	69	2	3	3	NUM
ejpam-5538	69	3	:	:	PUNCT
ejpam-5538	69	4	weight	weight	NOUN
ejpam-5538	69	5	of	of	ADP
ejpam-5538	69	6	vertex	vertex	PROPN
ejpam-5538	69	7	k.	k.	PROPN
ejpam-5538	69	8	a.	a.	PROPN
ejpam-5538	69	9	santoso	santoso	PROPN
ejpam-5538	69	10	et	et	PROPN
ejpam-5538	69	11	al	al	PROPN
ejpam-5538	69	12	.	.	PUNCT
ejpam-5538	69	13	/	/	SYM
ejpam-5538	69	14	eur	eur	PROPN
ejpam-5538	69	15	.	.	PUNCT
ejpam-5538	70	1	j.	j.	PROPN
ejpam-5538	70	2	pure	pure	PROPN
ejpam-5538	70	3	appl	appl	PROPN
ejpam-5538	70	4	.	.	PROPN
ejpam-5538	70	5	math	math	PROPN
ejpam-5538	70	6	,	,	PUNCT
ejpam-5538	70	7	17	17	NUM
ejpam-5538	70	8	(	(	PUNCT
ejpam-5538	70	9	4	4	NUM
ejpam-5538	70	10	)	)	PUNCT
ejpam-5538	70	11	(	(	PUNCT
ejpam-5538	70	12	2024	2024	NUM
ejpam-5538	70	13	)	)	PUNCT
ejpam-5538	70	14	,	,	PUNCT
ejpam-5538	70	15	3994	3994	NUM
ejpam-5538	70	16	-	-	SYM
ejpam-5538	70	17	4002	4002	NUM
ejpam-5538	70	18	3997	3997	NUM
ejpam-5538	70	19	figure	figure	NOUN
ejpam-5538	70	20	4	4	NUM
ejpam-5538	70	21	:	:	PUNCT
ejpam-5538	70	22	evaluation	evaluation	NOUN
ejpam-5538	70	23	process	process	NOUN
ejpam-5538	70	24	figure	figure	NOUN
ejpam-5538	70	25	5	5	NUM
ejpam-5538	70	26	:	:	PUNCT
ejpam-5538	70	27	the	the	DET
ejpam-5538	70	28	crossover	crossover	NOUN
ejpam-5538	70	29	process	process	NOUN
ejpam-5538	70	30	and	and	CCONJ
ejpam-5538	70	31	result	result	VERB
ejpam-5538	70	32	7	7	NUM
ejpam-5538	70	33	.	.	PUNCT
ejpam-5538	71	1	we	we	PRON
ejpam-5538	71	2	analyze	analyze	VERB
ejpam-5538	71	3	chromosome	chromosome	NOUN
ejpam-5538	71	4	6	6	NUM
ejpam-5538	71	5	by	by	ADP
ejpam-5538	71	6	calculating	calculate	VERB
ejpam-5538	71	7	the	the	DET
ejpam-5538	71	8	weight	weight	NOUN
ejpam-5538	71	9	matrix	matrix	NOUN
ejpam-5538	71	10	w	w	ADP
ejpam-5538	71	11	(	(	PUNCT
ejpam-5538	71	12	6	6	NUM
ejpam-5538	71	13	)	)	PUNCT
ejpam-5538	71	14	as	as	ADP
ejpam-5538	71	15	in	in	ADP
ejpam-5538	71	16	step	step	NOUN
ejpam-5538	71	17	4	4	NUM
ejpam-5538	71	18	.	.	PUNCT
ejpam-5538	71	19	from	from	ADP
ejpam-5538	71	20	the	the	DET
ejpam-5538	71	21	results	result	NOUN
ejpam-5538	71	22	of	of	ADP
ejpam-5538	71	23	the	the	DET
ejpam-5538	71	24	multiplication	multiplication	NOUN
ejpam-5538	71	25	between	between	ADP
ejpam-5538	71	26	the	the	DET
ejpam-5538	71	27	adjacency	adjacency	NOUN
ejpam-5538	71	28	matrix	matrix	NOUN
ejpam-5538	71	29	and	and	CCONJ
ejpam-5538	71	30	the	the	DET
ejpam-5538	71	31	weight	weight	NOUN
ejpam-5538	71	32	matrix	matrix	NOUN
ejpam-5538	71	33	,	,	PUNCT
ejpam-5538	71	34	it	it	PRON
ejpam-5538	71	35	can	can	AUX
ejpam-5538	71	36	be	be	AUX
ejpam-5538	71	37	seen	see	VERB
ejpam-5538	71	38	in	in	ADP
ejpam-5538	71	39	figure	figure	NOUN
ejpam-5538	71	40	6	6	NUM
ejpam-5538	71	41	that	that	SCONJ
ejpam-5538	71	42	there	there	PRON
ejpam-5538	71	43	are	be	VERB
ejpam-5538	71	44	no	no	DET
ejpam-5538	71	45	identical	identical	ADJ
ejpam-5538	71	46	numbers	number	NOUN
ejpam-5538	71	47	in	in	ADP
ejpam-5538	71	48	each	each	DET
ejpam-5538	71	49	row	row	NOUN
ejpam-5538	71	50	,	,	PUNCT
ejpam-5538	71	51	so	so	SCONJ
ejpam-5538	71	52	it	it	PRON
ejpam-5538	71	53	can	can	AUX
ejpam-5538	71	54	be	be	AUX
ejpam-5538	71	55	said	say	VERB
ejpam-5538	71	56	that	that	PRON
ejpam-5538	71	57	chromosome	chromosome	NOUN
ejpam-5538	71	58	6	6	NUM
ejpam-5538	71	59	is	be	AUX
ejpam-5538	71	60	a	a	DET
ejpam-5538	71	61	solution	solution	NOUN
ejpam-5538	71	62	to	to	ADP
ejpam-5538	71	63	non	non	ADJ
ejpam-5538	71	64	-	-	ADJ
ejpam-5538	71	65	inclusive	inclusive	ADJ
ejpam-5538	71	66	labeling	labeling	NOUN
ejpam-5538	71	67	.	.	PUNCT
ejpam-5538	72	1	if	if	SCONJ
ejpam-5538	72	2	the	the	DET
ejpam-5538	72	3	analysis	analysis	NOUN
ejpam-5538	72	4	results	result	NOUN
ejpam-5538	72	5	show	show	VERB
ejpam-5538	72	6	that	that	SCONJ
ejpam-5538	72	7	the	the	DET
ejpam-5538	72	8	chromosome	chromosome	NOUN
ejpam-5538	72	9	is	be	AUX
ejpam-5538	72	10	not	not	PART
ejpam-5538	72	11	a	a	DET
ejpam-5538	72	12	non	non	ADJ
ejpam-5538	72	13	-	-	ADJ
ejpam-5538	72	14	inclusive	inclusive	ADJ
ejpam-5538	72	15	labeling	labeling	NOUN
ejpam-5538	72	16	,	,	PUNCT
ejpam-5538	72	17	repeat	repeat	NOUN
ejpam-5538	72	18	steps	step	NOUN
ejpam-5538	72	19	1	1	NUM
ejpam-5538	72	20	to	to	PART
ejpam-5538	72	21	6	6	NUM
ejpam-5538	72	22	until	until	SCONJ
ejpam-5538	72	23	the	the	DET
ejpam-5538	72	24	iteration	iteration	NOUN
ejpam-5538	72	25	is	be	AUX
ejpam-5538	72	26	fulfilled	fulfil	VERB
ejpam-5538	72	27	.	.	PUNCT
ejpam-5538	73	1	if	if	SCONJ
ejpam-5538	73	2	the	the	DET
ejpam-5538	73	3	iteration	iteration	NOUN
ejpam-5538	73	4	has	have	AUX
ejpam-5538	73	5	been	be	AUX
ejpam-5538	73	6	fulfilled	fulfil	VERB
ejpam-5538	73	7	but	but	CCONJ
ejpam-5538	73	8	the	the	DET
ejpam-5538	73	9	chromosome	chromosome	NOUN
ejpam-5538	73	10	that	that	PRON
ejpam-5538	73	11	satisfies	satisfy	VERB
ejpam-5538	73	12	the	the	DET
ejpam-5538	73	13	labeling	labeling	NOUN
ejpam-5538	73	14	rule	rule	NOUN
ejpam-5538	73	15	has	have	AUX
ejpam-5538	73	16	not	not	PART
ejpam-5538	73	17	been	be	AUX
ejpam-5538	73	18	found	find	VERB
ejpam-5538	73	19	,	,	PUNCT
ejpam-5538	73	20	then	then	ADV
ejpam-5538	73	21	it	it	PRON
ejpam-5538	73	22	can	can	AUX
ejpam-5538	73	23	be	be	AUX
ejpam-5538	73	24	said	say	VERB
ejpam-5538	73	25	that	that	SCONJ
ejpam-5538	73	26	the	the	DET
ejpam-5538	73	27	graph	graph	NOUN
ejpam-5538	73	28	can	can	AUX
ejpam-5538	73	29	not	not	PART
ejpam-5538	73	30	be	be	AUX
ejpam-5538	73	31	labeled	label	VERB
ejpam-5538	73	32	according	accord	VERB
ejpam-5538	73	33	to	to	ADP
ejpam-5538	73	34	the	the	DET
ejpam-5538	73	35	irregular	irregular	ADJ
ejpam-5538	73	36	non	non	ADJ
ejpam-5538	73	37	-	-	ADJ
ejpam-5538	73	38	inclusive	inclusive	ADJ
ejpam-5538	73	39	rule	rule	NOUN
ejpam-5538	73	40	.	.	PUNCT
ejpam-5538	74	1	3	3	X
ejpam-5538	74	2	.	.	X
ejpam-5538	74	3	results	result	NOUN
ejpam-5538	74	4	this	this	DET
ejpam-5538	74	5	section	section	NOUN
ejpam-5538	74	6	discusses	discuss	VERB
ejpam-5538	74	7	implementation	implementation	NOUN
ejpam-5538	74	8	of	of	ADP
ejpam-5538	74	9	genetic	genetic	ADJ
ejpam-5538	74	10	algorithm	algorithm	NOUN
ejpam-5538	74	11	on	on	ADP
ejpam-5538	74	12	non	non	ADJ
ejpam-5538	74	13	-	-	ADJ
ejpam-5538	74	14	inclusive	inclusive	ADJ
ejpam-5538	74	15	vertex	vertex	NOUN
ejpam-5538	74	16	irregular	irregular	ADJ
ejpam-5538	74	17	labelings	labeling	NOUN
ejpam-5538	74	18	for	for	ADP
ejpam-5538	74	19	graphs	graph	NOUN
ejpam-5538	74	20	in	in	ADP
ejpam-5538	74	21	several	several	ADJ
ejpam-5538	74	22	existing	exist	VERB
ejpam-5538	74	23	researches	research	NOUN
ejpam-5538	74	24	.	.	PUNCT
ejpam-5538	75	1	we	we	PRON
ejpam-5538	75	2	modeled	model	VERB
ejpam-5538	75	3	the	the	DET
ejpam-5538	75	4	graph	graph	NOUN
ejpam-5538	75	5	in	in	ADP
ejpam-5538	75	6	the	the	DET
ejpam-5538	75	7	form	form	NOUN
ejpam-5538	75	8	of	of	ADP
ejpam-5538	75	9	an	an	DET
ejpam-5538	75	10	adjacency	adjacency	NOUN
ejpam-5538	75	11	matrix	matrix	NOUN
ejpam-5538	75	12	and	and	CCONJ
ejpam-5538	75	13	stored	store	VERB
ejpam-5538	75	14	the	the	DET
ejpam-5538	75	15	data	datum	NOUN
ejpam-5538	75	16	using	use	VERB
ejpam-5538	75	17	microsoft	microsoft	PROPN
ejpam-5538	75	18	excel	excel	VERB
ejpam-5538	75	19	as	as	ADP
ejpam-5538	75	20	an	an	DET
ejpam-5538	75	21	intermediary	intermediary	NOUN
ejpam-5538	75	22	.	.	PUNCT
ejpam-5538	76	1	figure	figure	NOUN
ejpam-5538	76	2	6	6	NUM
ejpam-5538	76	3	shows	show	VERB
ejpam-5538	76	4	the	the	DET
ejpam-5538	76	5	lower	low	ADJ
ejpam-5538	76	6	triangle	triangle	NOUN
ejpam-5538	76	7	of	of	ADP
ejpam-5538	76	8	the	the	DET
ejpam-5538	76	9	adjacency	adjacency	NOUN
ejpam-5538	76	10	matrix	matrix	NOUN
ejpam-5538	76	11	of	of	ADP
ejpam-5538	76	12	the	the	DET
ejpam-5538	76	13	cycle	cycle	NOUN
ejpam-5538	76	14	graph	graph	NOUN
ejpam-5538	76	15	c12	c12	PROPN
ejpam-5538	76	16	,	,	PUNCT
ejpam-5538	76	17	with	with	ADP
ejpam-5538	76	18	the	the	DET
ejpam-5538	76	19	help	help	NOUN
ejpam-5538	76	20	of	of	ADP
ejpam-5538	76	21	matlab	matlab	PROPN
ejpam-5538	76	22	,	,	PUNCT
ejpam-5538	76	23	the	the	DET
ejpam-5538	76	24	data	data	NOUN
ejpam-5538	76	25	is	be	AUX
ejpam-5538	76	26	processed	process	VERB
ejpam-5538	76	27	and	and	CCONJ
ejpam-5538	76	28	genetic	genetic	ADJ
ejpam-5538	76	29	algorithm	algorithm	NOUN
ejpam-5538	76	30	is	be	AUX
ejpam-5538	76	31	applied	apply	VERB
ejpam-5538	76	32	to	to	PART
ejpam-5538	76	33	find	find	VERB
ejpam-5538	76	34	the	the	DET
ejpam-5538	76	35	solution	solution	NOUN
ejpam-5538	76	36	of	of	ADP
ejpam-5538	76	37	non	non	ADJ
ejpam-5538	76	38	-	-	ADJ
ejpam-5538	76	39	inclusive	inclusive	ADJ
ejpam-5538	76	40	irregular	irregular	ADJ
ejpam-5538	76	41	vertex	vertex	NOUN
ejpam-5538	76	42	labeling	labeling	NOUN
ejpam-5538	76	43	problems	problem	NOUN
ejpam-5538	76	44	.	.	PUNCT
ejpam-5538	77	1	figure	figure	NOUN
ejpam-5538	77	2	7	7	NUM
ejpam-5538	77	3	is	be	AUX
ejpam-5538	77	4	the	the	DET
ejpam-5538	77	5	output	output	NOUN
ejpam-5538	77	6	of	of	ADP
ejpam-5538	77	7	the	the	DET
ejpam-5538	77	8	genetic	genetic	ADJ
ejpam-5538	77	9	algorithm	algorithm	NOUN
ejpam-5538	77	10	program	program	NOUN
ejpam-5538	77	11	for	for	ADP
ejpam-5538	77	12	vertex	vertex	NOUN
ejpam-5538	77	13	irregular	irregular	ADJ
ejpam-5538	77	14	labeling	labeling	NOUN
ejpam-5538	77	15	using	use	VERB
ejpam-5538	77	16	matlab	matlab	PROPN
ejpam-5538	77	17	.	.	PUNCT
ejpam-5538	78	1	we	we	PRON
ejpam-5538	78	2	set	set	VERB
ejpam-5538	78	3	the	the	DET
ejpam-5538	78	4	number	number	NOUN
ejpam-5538	78	5	of	of	ADP
ejpam-5538	78	6	chromosomes	chromosome	NOUN
ejpam-5538	78	7	by	by	ADP
ejpam-5538	78	8	4	4	NUM
ejpam-5538	78	9	and	and	CCONJ
ejpam-5538	78	10	mutation	mutation	NOUN
ejpam-5538	78	11	rate	rate	NOUN
ejpam-5538	78	12	of	of	ADP
ejpam-5538	78	13	0.1	0.1	NUM
ejpam-5538	78	14	.	.	PUNCT
ejpam-5538	79	1	figure	figure	NOUN
ejpam-5538	79	2	k.	k.	PROPN
ejpam-5538	79	3	a.	a.	PROPN
ejpam-5538	79	4	santoso	santoso	PROPN
ejpam-5538	79	5	et	et	PROPN
ejpam-5538	79	6	al	al	PROPN
ejpam-5538	79	7	.	.	PUNCT
ejpam-5538	79	8	/	/	SYM
ejpam-5538	79	9	eur	eur	PROPN
ejpam-5538	79	10	.	.	PUNCT
ejpam-5538	80	1	j.	j.	PROPN
ejpam-5538	80	2	pure	pure	PROPN
ejpam-5538	80	3	appl	appl	PROPN
ejpam-5538	80	4	.	.	PROPN
ejpam-5538	80	5	math	math	PROPN
ejpam-5538	80	6	,	,	PUNCT
ejpam-5538	80	7	17	17	NUM
ejpam-5538	80	8	(	(	PUNCT
ejpam-5538	80	9	4	4	NUM
ejpam-5538	80	10	)	)	PUNCT
ejpam-5538	80	11	(	(	PUNCT
ejpam-5538	80	12	2024	2024	NUM
ejpam-5538	80	13	)	)	PUNCT
ejpam-5538	80	14	,	,	PUNCT
ejpam-5538	80	15	3994	3994	NUM
ejpam-5538	80	16	-	-	SYM
ejpam-5538	80	17	4002	4002	NUM
ejpam-5538	80	18	3998	3998	NUM
ejpam-5538	80	19	figure	figure	NOUN
ejpam-5538	80	20	6	6	NUM
ejpam-5538	80	21	:	:	PUNCT
ejpam-5538	80	22	cycle	cycle	NOUN
ejpam-5538	80	23	graph	graph	NOUN
ejpam-5538	80	24	c12	c12	PROPN
ejpam-5538	80	25	data	datum	NOUN
ejpam-5538	80	26	7	7	NUM
ejpam-5538	80	27	shows	show	VERB
ejpam-5538	80	28	that	that	SCONJ
ejpam-5538	80	29	there	there	PRON
ejpam-5538	80	30	are	be	VERB
ejpam-5538	80	31	4	4	NUM
ejpam-5538	80	32	chromosomes	chromosome	NOUN
ejpam-5538	80	33	in	in	ADP
ejpam-5538	80	34	the	the	DET
ejpam-5538	80	35	last	last	ADJ
ejpam-5538	80	36	generation	generation	NOUN
ejpam-5538	80	37	population	population	NOUN
ejpam-5538	80	38	which	which	PRON
ejpam-5538	80	39	are	be	AUX
ejpam-5538	80	40	potential	potential	ADJ
ejpam-5538	80	41	solutions	solution	NOUN
ejpam-5538	80	42	to	to	ADP
ejpam-5538	80	43	the	the	DET
ejpam-5538	80	44	labeling	labeling	NOUN
ejpam-5538	80	45	problem	problem	NOUN
ejpam-5538	80	46	.	.	PUNCT
ejpam-5538	81	1	of	of	ADP
ejpam-5538	81	2	all	all	DET
ejpam-5538	81	3	chromosomes	chromosome	NOUN
ejpam-5538	81	4	,	,	PUNCT
ejpam-5538	81	5	the	the	DET
ejpam-5538	81	6	one	one	NOUN
ejpam-5538	81	7	that	that	PRON
ejpam-5538	81	8	has	have	VERB
ejpam-5538	81	9	the	the	DET
ejpam-5538	81	10	best	good	ADJ
ejpam-5538	81	11	fitness	fitness	NOUN
ejpam-5538	81	12	value	value	NOUN
ejpam-5538	81	13	and	and	CCONJ
ejpam-5538	81	14	has	have	VERB
ejpam-5538	81	15	no	no	DET
ejpam-5538	81	16	weight	weight	NOUN
ejpam-5538	81	17	error	error	NOUN
ejpam-5538	81	18	is	be	AUX
ejpam-5538	81	19	selected	select	VERB
ejpam-5538	81	20	as	as	ADP
ejpam-5538	81	21	the	the	DET
ejpam-5538	81	22	final	final	ADJ
ejpam-5538	81	23	solution	solution	NOUN
ejpam-5538	81	24	.	.	PUNCT
ejpam-5538	82	1	the	the	DET
ejpam-5538	82	2	following	follow	VERB
ejpam-5538	82	3	table	table	NOUN
ejpam-5538	82	4	are	be	AUX
ejpam-5538	82	5	labelings	labeling	NOUN
ejpam-5538	82	6	using	use	VERB
ejpam-5538	82	7	genetic	genetic	ADJ
ejpam-5538	82	8	algorithm	algorithm	NOUN
ejpam-5538	82	9	application	application	NOUN
ejpam-5538	82	10	with	with	ADP
ejpam-5538	82	11	the	the	DET
ejpam-5538	82	12	same	same	ADJ
ejpam-5538	82	13	rules	rule	NOUN
ejpam-5538	82	14	as	as	SCONJ
ejpam-5538	82	15	figure	figure	NOUN
ejpam-5538	82	16	7	7	NUM
ejpam-5538	82	17	labeling	labeling	NOUN
ejpam-5538	82	18	in	in	ADP
ejpam-5538	82	19	several	several	ADJ
ejpam-5538	82	20	previous	previous	ADJ
ejpam-5538	82	21	researches	research	NOUN
ejpam-5538	82	22	[	[	X
ejpam-5538	82	23	3	3	NUM
ejpam-5538	82	24	,	,	PUNCT
ejpam-5538	82	25	15	15	NUM
ejpam-5538	82	26	]	]	PUNCT
ejpam-5538	82	27	.	.	PUNCT
ejpam-5538	83	1	this	this	DET
ejpam-5538	83	2	labeling	labeling	NOUN
ejpam-5538	83	3	is	be	AUX
ejpam-5538	83	4	not	not	PART
ejpam-5538	83	5	unique	unique	ADJ
ejpam-5538	83	6	,	,	PUNCT
ejpam-5538	83	7	meaning	mean	VERB
ejpam-5538	83	8	that	that	SCONJ
ejpam-5538	83	9	a	a	DET
ejpam-5538	83	10	graph	graph	NOUN
ejpam-5538	83	11	can	can	AUX
ejpam-5538	83	12	have	have	VERB
ejpam-5538	83	13	more	more	ADJ
ejpam-5538	83	14	than	than	ADP
ejpam-5538	83	15	one	one	NUM
ejpam-5538	83	16	possible	possible	ADJ
ejpam-5538	83	17	non	non	ADJ
ejpam-5538	83	18	-	-	ADJ
ejpam-5538	83	19	inclusive	inclusive	ADJ
ejpam-5538	83	20	irregular	irregular	ADJ
ejpam-5538	83	21	labeling	labeling	NOUN
ejpam-5538	83	22	.	.	PUNCT
ejpam-5538	84	1	if	if	SCONJ
ejpam-5538	84	2	in	in	ADP
ejpam-5538	84	3	step	step	NOUN
ejpam-5538	84	4	6	6	NUM
ejpam-5538	84	5	of	of	ADP
ejpam-5538	84	6	the	the	DET
ejpam-5538	84	7	methodology	methodology	NOUN
ejpam-5538	84	8	above	above	ADP
ejpam-5538	84	9	the	the	DET
ejpam-5538	84	10	process	process	NOUN
ejpam-5538	84	11	is	be	AUX
ejpam-5538	84	12	not	not	PART
ejpam-5538	84	13	stopped	stop	VERB
ejpam-5538	84	14	even	even	ADV
ejpam-5538	84	15	though	though	SCONJ
ejpam-5538	84	16	the	the	DET
ejpam-5538	84	17	labeling	labeling	NOUN
ejpam-5538	84	18	has	have	AUX
ejpam-5538	84	19	been	be	AUX
ejpam-5538	84	20	found	find	VERB
ejpam-5538	84	21	(	(	PUNCT
ejpam-5538	84	22	the	the	DET
ejpam-5538	84	23	process	process	NOUN
ejpam-5538	84	24	stops	stop	VERB
ejpam-5538	84	25	only	only	ADV
ejpam-5538	84	26	if	if	SCONJ
ejpam-5538	84	27	the	the	DET
ejpam-5538	84	28	iteration	iteration	NOUN
ejpam-5538	84	29	is	be	AUX
ejpam-5538	84	30	fulfilled	fulfil	VERB
ejpam-5538	84	31	)	)	PUNCT
ejpam-5538	84	32	then	then	ADV
ejpam-5538	84	33	there	there	PRON
ejpam-5538	84	34	is	be	VERB
ejpam-5538	84	35	a	a	DET
ejpam-5538	84	36	possibility	possibility	NOUN
ejpam-5538	84	37	that	that	SCONJ
ejpam-5538	84	38	more	more	ADJ
ejpam-5538	84	39	than	than	ADP
ejpam-5538	84	40	one	one	NUM
ejpam-5538	84	41	labeling	labeling	NOUN
ejpam-5538	84	42	is	be	AUX
ejpam-5538	84	43	found	find	VERB
ejpam-5538	84	44	.	.	PUNCT
ejpam-5538	85	1	4	4	X
ejpam-5538	85	2	.	.	X
ejpam-5538	85	3	discussion	discussion	NOUN
ejpam-5538	85	4	this	this	DET
ejpam-5538	85	5	research	research	NOUN
ejpam-5538	85	6	using	use	VERB
ejpam-5538	85	7	the	the	DET
ejpam-5538	85	8	genetic	genetic	ADJ
ejpam-5538	85	9	algorithm	algorithm	NOUN
ejpam-5538	85	10	to	to	PART
ejpam-5538	85	11	solve	solve	VERB
ejpam-5538	85	12	non	non	ADJ
ejpam-5538	85	13	-	-	ADJ
ejpam-5538	85	14	inclusive	inclusive	ADJ
ejpam-5538	85	15	vertex	vertex	NOUN
ejpam-5538	85	16	irregular	irregular	ADJ
ejpam-5538	85	17	labeling	labeling	NOUN
ejpam-5538	85	18	of	of	ADP
ejpam-5538	85	19	graph	graph	NOUN
ejpam-5538	85	20	.	.	PUNCT
ejpam-5538	86	1	there	there	PRON
ejpam-5538	86	2	are	be	VERB
ejpam-5538	86	3	some	some	DET
ejpam-5538	86	4	process	process	NOUN
ejpam-5538	86	5	for	for	AUX
ejpam-5538	86	6	determine	determine	VERB
ejpam-5538	86	7	the	the	DET
ejpam-5538	86	8	non	non	ADJ
ejpam-5538	86	9	-	-	ADJ
ejpam-5538	86	10	inclusive	inclusive	ADJ
ejpam-5538	86	11	vertex	vertex	NOUN
ejpam-5538	86	12	irregular	irregular	ADJ
ejpam-5538	86	13	labeling	labeling	NOUN
ejpam-5538	86	14	using	use	VERB
ejpam-5538	86	15	the	the	DET
ejpam-5538	86	16	genetic	genetic	ADJ
ejpam-5538	86	17	algorithm	algorithm	NOUN
ejpam-5538	86	18	namely	namely	ADV
ejpam-5538	86	19	the	the	DET
ejpam-5538	86	20	first	first	ADJ
ejpam-5538	86	21	step	step	NOUN
ejpam-5538	86	22	a	a	DET
ejpam-5538	86	23	graph	graph	NOUN
ejpam-5538	86	24	g	g	PROPN
ejpam-5538	86	25	represented	represent	VERB
ejpam-5538	86	26	to	to	PART
ejpam-5538	86	27	be	be	AUX
ejpam-5538	86	28	adjacency	adjacency	NOUN
ejpam-5538	86	29	matrix	matrix	NOUN
ejpam-5538	86	30	,	,	PUNCT
ejpam-5538	86	31	second	second	ADJ
ejpam-5538	86	32	step	step	NOUN
ejpam-5538	86	33	using	use	VERB
ejpam-5538	86	34	genetic	genetic	ADJ
ejpam-5538	86	35	algorithm	algorithm	NOUN
ejpam-5538	86	36	procedure	procedure	NOUN
ejpam-5538	86	37	.	.	PUNCT
ejpam-5538	87	1	the	the	DET
ejpam-5538	87	2	final	final	ADJ
ejpam-5538	87	3	step	step	NOUN
ejpam-5538	87	4	,	,	PUNCT
ejpam-5538	87	5	we	we	PRON
ejpam-5538	87	6	get	get	VERB
ejpam-5538	87	7	the	the	DET
ejpam-5538	87	8	noninclusive	noninclusive	ADJ
ejpam-5538	87	9	vertex	vertex	NOUN
ejpam-5538	87	10	irregular	irregular	ADJ
ejpam-5538	87	11	labeling	labeling	NOUN
ejpam-5538	87	12	from	from	ADP
ejpam-5538	87	13	genetic	genetic	ADJ
ejpam-5538	87	14	algorithm	algorithm	NOUN
ejpam-5538	87	15	procedure	procedure	NOUN
ejpam-5538	87	16	but	but	CCONJ
ejpam-5538	87	17	we	we	PRON
ejpam-5538	87	18	need	need	VERB
ejpam-5538	87	19	show	show	NOUN
ejpam-5538	87	20	using	use	VERB
ejpam-5538	87	21	the	the	DET
ejpam-5538	87	22	lower	low	ADJ
ejpam-5538	87	23	bound	bind	VERB
ejpam-5538	87	24	of	of	ADP
ejpam-5538	87	25	non	non	ADJ
ejpam-5538	87	26	-	-	ADJ
ejpam-5538	87	27	inclusive	inclusive	ADJ
ejpam-5538	87	28	vertex	vertex	NOUN
ejpam-5538	87	29	irregular	irregular	ADJ
ejpam-5538	87	30	.	.	PUNCT
ejpam-5538	88	1	the	the	DET
ejpam-5538	88	2	selection	selection	NOUN
ejpam-5538	88	3	process	process	NOUN
ejpam-5538	88	4	is	be	AUX
ejpam-5538	88	5	carried	carry	VERB
ejpam-5538	88	6	out	out	ADP
ejpam-5538	88	7	on	on	ADP
ejpam-5538	88	8	each	each	DET
ejpam-5538	88	9	generation	generation	NOUN
ejpam-5538	88	10	to	to	PART
ejpam-5538	88	11	selected	select	VERB
ejpam-5538	88	12	the	the	DET
ejpam-5538	88	13	best	good	ADJ
ejpam-5538	88	14	chromosomes	chromosome	NOUN
ejpam-5538	88	15	.	.	PUNCT
ejpam-5538	89	1	this	this	DET
ejpam-5538	89	2	research	research	NOUN
ejpam-5538	89	3	is	be	AUX
ejpam-5538	89	4	using	use	VERB
ejpam-5538	89	5	tournament	tournament	NOUN
ejpam-5538	89	6	selection	selection	NOUN
ejpam-5538	89	7	method	method	NOUN
ejpam-5538	89	8	as	as	ADP
ejpam-5538	89	9	the	the	DET
ejpam-5538	89	10	selection	selection	NOUN
ejpam-5538	89	11	process	process	NOUN
ejpam-5538	89	12	.	.	PUNCT
ejpam-5538	90	1	the	the	DET
ejpam-5538	90	2	crossover	crossover	NOUN
ejpam-5538	90	3	process	process	NOUN
ejpam-5538	90	4	aim	aim	NOUN
ejpam-5538	90	5	is	be	AUX
ejpam-5538	90	6	to	to	PART
ejpam-5538	90	7	produce	produce	VERB
ejpam-5538	90	8	new	new	ADJ
ejpam-5538	90	9	offspring	offspring	NOUN
ejpam-5538	90	10	chromosomes	chromosome	NOUN
ejpam-5538	90	11	.	.	PUNCT
ejpam-5538	91	1	chromosomes	chromosome	NOUN
ejpam-5538	91	2	that	that	PRON
ejpam-5538	91	3	have	have	AUX
ejpam-5538	91	4	gone	go	VERB
ejpam-5538	91	5	through	through	ADP
ejpam-5538	91	6	selection	selection	NOUN
ejpam-5538	91	7	process	process	NOUN
ejpam-5538	91	8	will	will	AUX
ejpam-5538	91	9	be	be	AUX
ejpam-5538	91	10	paired	pair	VERB
ejpam-5538	91	11	in	in	ADP
ejpam-5538	91	12	a	a	DET
ejpam-5538	91	13	crossover	crossover	NOUN
ejpam-5538	91	14	process	process	NOUN
ejpam-5538	91	15	.	.	PUNCT
ejpam-5538	92	1	the	the	DET
ejpam-5538	92	2	crossover	crossover	NOUN
ejpam-5538	92	3	process	process	NOUN
ejpam-5538	92	4	is	be	AUX
ejpam-5538	92	5	conducted	conduct	VERB
ejpam-5538	92	6	at	at	ADP
ejpam-5538	92	7	a	a	DET
ejpam-5538	92	8	predetermined	predetermined	ADJ
ejpam-5538	92	9	point	point	NOUN
ejpam-5538	92	10	.	.	PUNCT
ejpam-5538	93	1	the	the	DET
ejpam-5538	93	2	mutation	mutation	NOUN
ejpam-5538	93	3	process	process	NOUN
ejpam-5538	93	4	conducted	conduct	VERB
ejpam-5538	93	5	on	on	ADP
ejpam-5538	93	6	each	each	DET
ejpam-5538	93	7	genes	gene	NOUN
ejpam-5538	93	8	in	in	ADP
ejpam-5538	93	9	offspring	offspring	NOUN
ejpam-5538	93	10	chromosomes	chromosome	NOUN
ejpam-5538	93	11	based	base	VERB
ejpam-5538	93	12	on	on	ADP
ejpam-5538	93	13	the	the	DET
ejpam-5538	93	14	predetermined	predetermine	VERB
ejpam-5538	93	15	mutation	mutation	NOUN
ejpam-5538	93	16	rate	rate	NOUN
ejpam-5538	93	17	,	,	PUNCT
ejpam-5538	93	18	which	which	PRON
ejpam-5538	93	19	is	be	AUX
ejpam-5538	93	20	0.1	0.1	NUM
ejpam-5538	93	21	.	.	PUNCT
ejpam-5538	94	1	a	a	DET
ejpam-5538	94	2	random	random	ADJ
ejpam-5538	94	3	number	number	NOUN
ejpam-5538	94	4	will	will	AUX
ejpam-5538	94	5	be	be	AUX
ejpam-5538	94	6	taken	take	VERB
ejpam-5538	94	7	and	and	CCONJ
ejpam-5538	94	8	if	if	SCONJ
ejpam-5538	94	9	the	the	DET
ejpam-5538	94	10	number	number	NOUN
ejpam-5538	94	11	is	be	AUX
ejpam-5538	94	12	less	less	ADJ
ejpam-5538	94	13	than	than	ADP
ejpam-5538	94	14	or	or	CCONJ
ejpam-5538	94	15	equal	equal	ADJ
ejpam-5538	94	16	to	to	ADP
ejpam-5538	94	17	the	the	DET
ejpam-5538	94	18	mutation	mutation	NOUN
ejpam-5538	94	19	rate	rate	NOUN
ejpam-5538	94	20	,	,	PUNCT
ejpam-5538	94	21	the	the	DET
ejpam-5538	94	22	gene	gene	NOUN
ejpam-5538	94	23	will	will	AUX
ejpam-5538	94	24	mutated	mutate	VERB
ejpam-5538	94	25	.	.	PUNCT
ejpam-5538	95	1	after	after	SCONJ
ejpam-5538	95	2	the	the	DET
ejpam-5538	95	3	mutation	mutation	NOUN
ejpam-5538	95	4	process	process	NOUN
ejpam-5538	95	5	is	be	AUX
ejpam-5538	95	6	complete	complete	ADJ
ejpam-5538	95	7	,	,	PUNCT
ejpam-5538	95	8	2	2	NUM
ejpam-5538	95	9	offering	offer	VERB
ejpam-5538	95	10	chromosomes	chromosome	NOUN
ejpam-5538	95	11	are	be	AUX
ejpam-5538	95	12	obtained	obtain	VERB
ejpam-5538	95	13	which	which	PRON
ejpam-5538	95	14	will	will	AUX
ejpam-5538	95	15	enter	enter	VERB
ejpam-5538	95	16	the	the	DET
ejpam-5538	95	17	new	new	ADJ
ejpam-5538	95	18	population	population	NOUN
ejpam-5538	95	19	.	.	PUNCT
ejpam-5538	96	1	the	the	DET
ejpam-5538	96	2	previous	previous	ADJ
ejpam-5538	96	3	population	population	NOUN
ejpam-5538	96	4	will	will	AUX
ejpam-5538	96	5	erase	erase	VERB
ejpam-5538	96	6	the	the	DET
ejpam-5538	96	7	2	2	NUM
ejpam-5538	96	8	worst	bad	ADJ
ejpam-5538	96	9	chromosomes	chromosome	NOUN
ejpam-5538	96	10	based	base	VERB
ejpam-5538	96	11	on	on	ADP
ejpam-5538	96	12	their	their	PRON
ejpam-5538	96	13	fitness	fitness	NOUN
ejpam-5538	96	14	value	value	NOUN
ejpam-5538	96	15	and	and	CCONJ
ejpam-5538	96	16	replace	replace	VERB
ejpam-5538	96	17	them	they	PRON
ejpam-5538	96	18	with	with	ADP
ejpam-5538	96	19	2	2	NUM
ejpam-5538	96	20	offspring	offspring	NOUN
ejpam-5538	96	21	chromosomes	chromosome	NOUN
ejpam-5538	96	22	after	after	ADP
ejpam-5538	96	23	the	the	DET
ejpam-5538	96	24	mutation	mutation	NOUN
ejpam-5538	96	25	process	process	NOUN
ejpam-5538	96	26	.	.	PUNCT
ejpam-5538	97	1	the	the	DET
ejpam-5538	97	2	initial	initial	ADJ
ejpam-5538	97	3	generation	generation	NOUN
ejpam-5538	97	4	population	population	NOUN
ejpam-5538	97	5	or	or	CCONJ
ejpam-5538	97	6	generation	generation	NOUN
ejpam-5538	97	7	0	0	NUM
ejpam-5538	97	8	will	will	AUX
ejpam-5538	97	9	k.	k.	PROPN
ejpam-5538	97	10	a.	a.	PROPN
ejpam-5538	97	11	santoso	santoso	PROPN
ejpam-5538	97	12	et	et	PROPN
ejpam-5538	97	13	al	al	PROPN
ejpam-5538	97	14	.	.	PUNCT
ejpam-5538	97	15	/	/	SYM
ejpam-5538	97	16	eur	eur	PROPN
ejpam-5538	97	17	.	.	PUNCT
ejpam-5538	98	1	j.	j.	PROPN
ejpam-5538	98	2	pure	pure	PROPN
ejpam-5538	98	3	appl	appl	PROPN
ejpam-5538	98	4	.	.	PROPN
ejpam-5538	98	5	math	math	PROPN
ejpam-5538	98	6	,	,	PUNCT
ejpam-5538	98	7	17	17	NUM
ejpam-5538	98	8	(	(	PUNCT
ejpam-5538	98	9	4	4	NUM
ejpam-5538	98	10	)	)	PUNCT
ejpam-5538	98	11	(	(	PUNCT
ejpam-5538	98	12	2024	2024	NUM
ejpam-5538	98	13	)	)	PUNCT
ejpam-5538	98	14	,	,	PUNCT
ejpam-5538	98	15	3994	3994	NUM
ejpam-5538	98	16	-	-	SYM
ejpam-5538	98	17	4002	4002	NUM
ejpam-5538	98	18	3999	3999	NUM
ejpam-5538	98	19	figure	figure	NOUN
ejpam-5538	98	20	7	7	NUM
ejpam-5538	98	21	:	:	PUNCT
ejpam-5538	98	22	the	the	DET
ejpam-5538	98	23	vertex	vertex	NOUN
ejpam-5538	98	24	weight	weight	NOUN
ejpam-5538	98	25	of	of	ADP
ejpam-5538	98	26	c12	c12	PROPN
ejpam-5538	98	27	in	in	ADP
ejpam-5538	98	28	matlab	matlab	PROPN
ejpam-5538	98	29	become	become	VERB
ejpam-5538	98	30	the	the	DET
ejpam-5538	98	31	population	population	NOUN
ejpam-5538	98	32	of	of	ADP
ejpam-5538	98	33	generation	generation	NOUN
ejpam-5538	98	34	1	1	NUM
ejpam-5538	98	35	after	after	ADP
ejpam-5538	98	36	the	the	DET
ejpam-5538	98	37	genetic	genetic	ADJ
ejpam-5538	98	38	algorithm	algorithm	NOUN
ejpam-5538	98	39	process	process	NOUN
ejpam-5538	98	40	.	.	PUNCT
ejpam-5538	99	1	each	each	DET
ejpam-5538	99	2	generation	generation	NOUN
ejpam-5538	99	3	will	will	AUX
ejpam-5538	99	4	choose	choose	VERB
ejpam-5538	99	5	one	one	NUM
ejpam-5538	99	6	chromosome	chromosome	NOUN
ejpam-5538	99	7	that	that	PRON
ejpam-5538	99	8	has	have	VERB
ejpam-5538	99	9	the	the	DET
ejpam-5538	99	10	highest	high	ADJ
ejpam-5538	99	11	fitness	fitness	NOUN
ejpam-5538	99	12	value	value	NOUN
ejpam-5538	99	13	as	as	ADP
ejpam-5538	99	14	the	the	DET
ejpam-5538	99	15	solution	solution	NOUN
ejpam-5538	99	16	labeling	labeling	NOUN
ejpam-5538	99	17	.	.	PUNCT
ejpam-5538	100	1	the	the	DET
ejpam-5538	100	2	first	first	ADJ
ejpam-5538	100	3	generation	generation	NOUN
ejpam-5538	100	4	result	result	NOUN
ejpam-5538	100	5	of	of	ADP
ejpam-5538	100	6	genetic	genetic	ADJ
ejpam-5538	100	7	algorithm	algorithm	NOUN
ejpam-5538	100	8	was	be	AUX
ejpam-5538	100	9	not	not	PART
ejpam-5538	100	10	producing	produce	VERB
ejpam-5538	100	11	good	good	ADJ
ejpam-5538	100	12	results	result	NOUN
ejpam-5538	100	13	.	.	PUNCT
ejpam-5538	101	1	all	all	DET
ejpam-5538	101	2	chromosomes	chromosome	NOUN
ejpam-5538	101	3	still	still	ADV
ejpam-5538	101	4	have	have	VERB
ejpam-5538	101	5	labeling	labeling	NOUN
ejpam-5538	101	6	errors	error	NOUN
ejpam-5538	101	7	that	that	PRON
ejpam-5538	101	8	cause	cause	VERB
ejpam-5538	101	9	repeated	repeat	VERB
ejpam-5538	101	10	weights	weight	NOUN
ejpam-5538	101	11	.	.	PUNCT
ejpam-5538	102	1	the	the	DET
ejpam-5538	102	2	evolution	evolution	NOUN
ejpam-5538	102	3	process	process	NOUN
ejpam-5538	102	4	will	will	AUX
ejpam-5538	102	5	be	be	AUX
ejpam-5538	102	6	repeated	repeat	VERB
ejpam-5538	102	7	until	until	SCONJ
ejpam-5538	102	8	it	it	PRON
ejpam-5538	102	9	gets	get	VERB
ejpam-5538	102	10	the	the	DET
ejpam-5538	102	11	result	result	NOUN
ejpam-5538	102	12	that	that	SCONJ
ejpam-5538	102	13	close	close	ADJ
ejpam-5538	102	14	or	or	CCONJ
ejpam-5538	102	15	equal	equal	ADJ
ejpam-5538	102	16	to	to	ADP
ejpam-5538	102	17	optimal	optimal	ADJ
ejpam-5538	102	18	.	.	PUNCT
ejpam-5538	103	1	if	if	SCONJ
ejpam-5538	103	2	the	the	DET
ejpam-5538	103	3	fitness	fitness	NOUN
ejpam-5538	103	4	value	value	NOUN
ejpam-5538	103	5	of	of	ADP
ejpam-5538	103	6	solution	solution	NOUN
ejpam-5538	103	7	of	of	ADP
ejpam-5538	103	8	one	one	NUM
ejpam-5538	103	9	generation	generation	NOUN
ejpam-5538	103	10	is	be	AUX
ejpam-5538	103	11	equal	equal	ADJ
ejpam-5538	103	12	to	to	ADP
ejpam-5538	103	13	the	the	DET
ejpam-5538	103	14	previous	previous	ADJ
ejpam-5538	103	15	generation	generation	NOUN
ejpam-5538	103	16	,	,	PUNCT
ejpam-5538	103	17	then	then	ADV
ejpam-5538	103	18	the	the	DET
ejpam-5538	103	19	fitness	fitness	NOUN
ejpam-5538	103	20	value	value	NOUN
ejpam-5538	103	21	of	of	ADP
ejpam-5538	103	22	solution	solution	NOUN
ejpam-5538	103	23	is	be	AUX
ejpam-5538	103	24	said	say	VERB
ejpam-5538	103	25	to	to	PART
ejpam-5538	103	26	be	be	AUX
ejpam-5538	103	27	convergent	convergent	ADJ
ejpam-5538	103	28	.	.	PUNCT
ejpam-5538	104	1	if	if	SCONJ
ejpam-5538	104	2	the	the	DET
ejpam-5538	104	3	convergence	convergence	NOUN
ejpam-5538	104	4	has	have	AUX
ejpam-5538	104	5	reached	reach	VERB
ejpam-5538	104	6	a	a	DET
ejpam-5538	104	7	certain	certain	ADJ
ejpam-5538	104	8	value	value	NOUN
ejpam-5538	104	9	but	but	CCONJ
ejpam-5538	104	10	the	the	DET
ejpam-5538	104	11	labeling	labeling	NOUN
ejpam-5538	104	12	errors	error	NOUN
ejpam-5538	104	13	still	still	ADV
ejpam-5538	104	14	exist	exist	VERB
ejpam-5538	104	15	,	,	PUNCT
ejpam-5538	104	16	then	then	ADV
ejpam-5538	104	17	it	it	PRON
ejpam-5538	104	18	will	will	AUX
ejpam-5538	104	19	be	be	AUX
ejpam-5538	104	20	assumed	assume	VERB
ejpam-5538	104	21	that	that	SCONJ
ejpam-5538	104	22	the	the	DET
ejpam-5538	104	23	graph	graph	NOUN
ejpam-5538	104	24	g	g	NOUN
ejpam-5538	104	25	has	have	VERB
ejpam-5538	104	26	no	no	DET
ejpam-5538	104	27	labeling	labeling	NOUN
ejpam-5538	104	28	with	with	ADP
ejpam-5538	104	29	dis(g	dis(g	PROPN
ejpam-5538	104	30	)	)	PUNCT
ejpam-5538	104	31	=	=	PUNCT
ejpam-5538	105	1	k.	k.	PROPN
ejpam-5538	105	2	if	if	SCONJ
ejpam-5538	105	3	this	this	PRON
ejpam-5538	105	4	happens	happen	VERB
ejpam-5538	105	5	,	,	PUNCT
ejpam-5538	105	6	then	then	ADV
ejpam-5538	105	7	the	the	DET
ejpam-5538	105	8	algorithm	algorithm	NOUN
ejpam-5538	105	9	needs	need	VERB
ejpam-5538	105	10	to	to	PART
ejpam-5538	105	11	increase	increase	VERB
ejpam-5538	105	12	its	its	PRON
ejpam-5538	105	13	dis(g	dis(g	NOUN
ejpam-5538	105	14	)	)	PUNCT
ejpam-5538	105	15	to	to	ADP
ejpam-5538	105	16	dis(g	dis(g	VERB
ejpam-5538	105	17	)	)	PUNCT
ejpam-5538	105	18	=	=	PUNCT
ejpam-5538	105	19	k+1	k+1	X
ejpam-5538	105	20	.	.	NOUN
ejpam-5538	105	21	changes	change	NOUN
ejpam-5538	105	22	in	in	ADP
ejpam-5538	105	23	the	the	DET
ejpam-5538	105	24	value	value	NOUN
ejpam-5538	105	25	will	will	AUX
ejpam-5538	105	26	occur	occur	VERB
ejpam-5538	105	27	in	in	ADP
ejpam-5538	105	28	the	the	DET
ejpam-5538	105	29	next	next	ADJ
ejpam-5538	105	30	generation	generation	NOUN
ejpam-5538	105	31	mutation	mutation	NOUN
ejpam-5538	105	32	process	process	NOUN
ejpam-5538	105	33	.	.	PUNCT
ejpam-5538	106	1	this	this	DET
ejpam-5538	106	2	process	process	NOUN
ejpam-5538	106	3	will	will	AUX
ejpam-5538	106	4	always	always	ADV
ejpam-5538	106	5	repeated	repeat	VERB
ejpam-5538	106	6	until	until	SCONJ
ejpam-5538	106	7	the	the	DET
ejpam-5538	106	8	optimal	optimal	ADJ
ejpam-5538	106	9	solution	solution	NOUN
ejpam-5538	106	10	is	be	AUX
ejpam-5538	106	11	found	find	VERB
ejpam-5538	106	12	.	.	PUNCT
ejpam-5538	107	1	in	in	ADP
ejpam-5538	107	2	this	this	DET
ejpam-5538	107	3	case	case	NOUN
ejpam-5538	107	4	the	the	DET
ejpam-5538	107	5	process	process	NOUN
ejpam-5538	107	6	of	of	ADP
ejpam-5538	107	7	evolution	evolution	NOUN
ejpam-5538	107	8	stops	stop	VERB
ejpam-5538	107	9	at	at	ADP
ejpam-5538	107	10	the	the	DET
ejpam-5538	107	11	9th	9th	ADJ
ejpam-5538	107	12	generation	generation	NOUN
ejpam-5538	107	13	.	.	PUNCT
ejpam-5538	108	1	the	the	DET
ejpam-5538	108	2	application	application	NOUN
ejpam-5538	108	3	of	of	ADP
ejpam-5538	108	4	genetic	genetic	ADJ
ejpam-5538	108	5	algorithms	algorithm	NOUN
ejpam-5538	108	6	to	to	ADP
ejpam-5538	108	7	non	non	ADJ
ejpam-5538	108	8	-	-	ADJ
ejpam-5538	108	9	inclusive	inclusive	ADJ
ejpam-5538	108	10	vertex	vertex	NOUN
ejpam-5538	108	11	irregular	irregular	ADJ
ejpam-5538	108	12	labeling	labeling	NOUN
ejpam-5538	108	13	of	of	ADP
ejpam-5538	108	14	graph	graph	NOUN
ejpam-5538	108	15	resulting	result	VERB
ejpam-5538	108	16	produce	produce	VERB
ejpam-5538	108	17	a	a	DET
ejpam-5538	108	18	solution	solution	NOUN
ejpam-5538	108	19	to	to	ADP
ejpam-5538	108	20	the	the	DET
ejpam-5538	108	21	problem	problem	NOUN
ejpam-5538	108	22	.	.	PUNCT
ejpam-5538	109	1	the	the	DET
ejpam-5538	109	2	pursuit	pursuit	NOUN
ejpam-5538	109	3	for	for	ADP
ejpam-5538	109	4	labeling	labeling	NOUN
ejpam-5538	109	5	solutions	solution	NOUN
ejpam-5538	109	6	using	use	VERB
ejpam-5538	109	7	human	human	ADJ
ejpam-5538	109	8	assistance	assistance	NOUN
ejpam-5538	109	9	can	can	AUX
ejpam-5538	109	10	take	take	VERB
ejpam-5538	109	11	a	a	DET
ejpam-5538	109	12	relatively	relatively	ADV
ejpam-5538	109	13	long	long	ADJ
ejpam-5538	109	14	time	time	NOUN
ejpam-5538	109	15	,	,	PUNCT
ejpam-5538	109	16	especially	especially	ADV
ejpam-5538	109	17	in	in	ADP
ejpam-5538	109	18	graphs	graph	NOUN
ejpam-5538	109	19	with	with	ADP
ejpam-5538	109	20	a	a	DET
ejpam-5538	109	21	large	large	ADJ
ejpam-5538	109	22	number	number	NOUN
ejpam-5538	109	23	of	of	ADP
ejpam-5538	109	24	vertices	vertex	NOUN
ejpam-5538	109	25	and	and	CCONJ
ejpam-5538	109	26	without	without	ADP
ejpam-5538	109	27	patterns	pattern	NOUN
ejpam-5538	109	28	.	.	PUNCT
ejpam-5538	110	1	genetic	genetic	ADJ
ejpam-5538	110	2	algorithms	algorithm	NOUN
ejpam-5538	110	3	can	can	AUX
ejpam-5538	110	4	be	be	AUX
ejpam-5538	110	5	applied	apply	VERB
ejpam-5538	110	6	with	with	ADP
ejpam-5538	110	7	the	the	DET
ejpam-5538	110	8	help	help	NOUN
ejpam-5538	110	9	of	of	ADP
ejpam-5538	110	10	computer	computer	NOUN
ejpam-5538	110	11	as	as	ADP
ejpam-5538	110	12	one	one	NUM
ejpam-5538	110	13	option	option	NOUN
ejpam-5538	110	14	to	to	PART
ejpam-5538	110	15	find	find	VERB
ejpam-5538	110	16	solutions	solution	NOUN
ejpam-5538	110	17	to	to	ADP
ejpam-5538	110	18	problems	problem	NOUN
ejpam-5538	110	19	.	.	PUNCT
ejpam-5538	111	1	k.	k.	PROPN
ejpam-5538	111	2	a.	a.	PROPN
ejpam-5538	111	3	santoso	santoso	PROPN
ejpam-5538	111	4	et	et	PROPN
ejpam-5538	111	5	al	al	PROPN
ejpam-5538	111	6	.	.	PUNCT
ejpam-5538	111	7	/	/	SYM
ejpam-5538	111	8	eur	eur	PROPN
ejpam-5538	111	9	.	.	PUNCT
ejpam-5538	112	1	j.	j.	PROPN
ejpam-5538	112	2	pure	pure	PROPN
ejpam-5538	112	3	appl	appl	PROPN
ejpam-5538	112	4	.	.	PROPN
ejpam-5538	112	5	math	math	PROPN
ejpam-5538	112	6	,	,	PUNCT
ejpam-5538	112	7	17	17	NUM
ejpam-5538	112	8	(	(	PUNCT
ejpam-5538	112	9	4	4	NUM
ejpam-5538	112	10	)	)	PUNCT
ejpam-5538	112	11	(	(	PUNCT
ejpam-5538	112	12	2024	2024	NUM
ejpam-5538	112	13	)	)	PUNCT
ejpam-5538	112	14	,	,	PUNCT
ejpam-5538	112	15	3994	3994	NUM
ejpam-5538	112	16	-	-	SYM
ejpam-5538	112	17	4002	4002	NUM
ejpam-5538	112	18	4000	4000	NUM
ejpam-5538	112	19	5	5	NUM
ejpam-5538	112	20	.	.	PUNCT
ejpam-5538	112	21	conclusion	conclusion	NOUN
ejpam-5538	112	22	the	the	PRON
ejpam-5538	112	23	based	base	VERB
ejpam-5538	112	24	on	on	ADP
ejpam-5538	112	25	the	the	DET
ejpam-5538	112	26	explanation	explanation	NOUN
ejpam-5538	112	27	above	above	ADV
ejpam-5538	112	28	,	,	PUNCT
ejpam-5538	112	29	it	it	PRON
ejpam-5538	112	30	can	can	AUX
ejpam-5538	112	31	be	be	AUX
ejpam-5538	112	32	concluded	conclude	VERB
ejpam-5538	112	33	that	that	SCONJ
ejpam-5538	112	34	;	;	PUNCT
ejpam-5538	112	35	genetic	genetic	ADJ
ejpam-5538	112	36	algorithms	algorithm	NOUN
ejpam-5538	112	37	can	can	AUX
ejpam-5538	112	38	be	be	AUX
ejpam-5538	112	39	used	use	VERB
ejpam-5538	112	40	to	to	PART
ejpam-5538	112	41	label	label	VERB
ejpam-5538	112	42	the	the	DET
ejpam-5538	112	43	vertex	vertex	NOUN
ejpam-5538	112	44	of	of	ADP
ejpam-5538	112	45	graphs	graph	NOUN
ejpam-5538	112	46	according	accord	VERB
ejpam-5538	112	47	to	to	ADP
ejpam-5538	112	48	non	non	ADJ
ejpam-5538	112	49	-	-	ADJ
ejpam-5538	112	50	inclusive	inclusive	ADJ
ejpam-5538	112	51	irregular	irregular	ADJ
ejpam-5538	112	52	rules	rule	NOUN
ejpam-5538	112	53	.	.	PUNCT
ejpam-5538	113	1	if	if	SCONJ
ejpam-5538	113	2	conventional	conventional	ADJ
ejpam-5538	113	3	methods	method	NOUN
ejpam-5538	113	4	take	take	VERB
ejpam-5538	113	5	a	a	DET
ejpam-5538	113	6	very	very	ADV
ejpam-5538	113	7	long	long	ADJ
ejpam-5538	113	8	time	time	NOUN
ejpam-5538	113	9	to	to	PART
ejpam-5538	113	10	label	label	NOUN
ejpam-5538	113	11	graphs	graph	NOUN
ejpam-5538	113	12	,	,	PUNCT
ejpam-5538	113	13	then	then	ADV
ejpam-5538	113	14	with	with	ADP
ejpam-5538	113	15	this	this	DET
ejpam-5538	113	16	algorithm	algorithm	NOUN
ejpam-5538	113	17	the	the	DET
ejpam-5538	113	18	time	time	NOUN
ejpam-5538	113	19	needed	need	VERB
ejpam-5538	113	20	is	be	AUX
ejpam-5538	113	21	only	only	ADV
ejpam-5538	113	22	a	a	DET
ejpam-5538	113	23	matter	matter	NOUN
ejpam-5538	113	24	of	of	ADP
ejpam-5538	113	25	seconds	second	NOUN
ejpam-5538	113	26	.	.	PUNCT
ejpam-5538	114	1	if	if	SCONJ
ejpam-5538	114	2	in	in	ADP
ejpam-5538	114	3	conventional	conventional	ADJ
ejpam-5538	114	4	methods	method	NOUN
ejpam-5538	114	5	the	the	DET
ejpam-5538	114	6	labeling	labeling	NOUN
ejpam-5538	114	7	pattern	pattern	NOUN
ejpam-5538	114	8	can	can	AUX
ejpam-5538	114	9	only	only	ADV
ejpam-5538	114	10	be	be	AUX
ejpam-5538	114	11	used	use	VERB
ejpam-5538	114	12	for	for	ADP
ejpam-5538	114	13	specific	specific	ADJ
ejpam-5538	114	14	graphs	graph	NOUN
ejpam-5538	114	15	,	,	PUNCT
ejpam-5538	114	16	then	then	ADV
ejpam-5538	114	17	with	with	ADP
ejpam-5538	114	18	this	this	DET
ejpam-5538	114	19	method	method	NOUN
ejpam-5538	114	20	the	the	DET
ejpam-5538	114	21	labeling	labeling	NOUN
ejpam-5538	114	22	can	can	AUX
ejpam-5538	114	23	be	be	AUX
ejpam-5538	114	24	applied	apply	VERB
ejpam-5538	114	25	to	to	ADP
ejpam-5538	114	26	all	all	DET
ejpam-5538	114	27	types	type	NOUN
ejpam-5538	114	28	of	of	ADP
ejpam-5538	114	29	graphs	graph	NOUN
ejpam-5538	114	30	or	or	CCONJ
ejpam-5538	114	31	is	be	AUX
ejpam-5538	114	32	universal	universal	ADJ
ejpam-5538	114	33	.	.	PUNCT
ejpam-5538	115	1	acknowledgment	acknowledgment	NOUN
ejpam-5538	115	2	we	we	PRON
ejpam-5538	115	3	gratefully	gratefully	ADV
ejpam-5538	115	4	acknowledge	acknowledge	VERB
ejpam-5538	115	5	the	the	DET
ejpam-5538	115	6	support	support	NOUN
ejpam-5538	115	7	from	from	ADP
ejpam-5538	115	8	university	university	NOUN
ejpam-5538	115	9	of	of	ADP
ejpam-5538	115	10	jember	jember	PROPN
ejpam-5538	115	11	of	of	ADP
ejpam-5538	115	12	year	year	NOUN
ejpam-5538	115	13	2024	2024	NUM
ejpam-5538	115	14	.	.	PUNCT
ejpam-5538	116	1	references	reference	NOUN
ejpam-5538	116	2	4001	4001	NUM
ejpam-5538	116	3	references	reference	NOUN
ejpam-5538	116	4	[	[	X
ejpam-5538	116	5	1	1	NUM
ejpam-5538	116	6	]	]	X
ejpam-5538	116	7	b.	b.	PROPN
ejpam-5538	116	8	h.	h.	PROPN
ejpam-5538	116	9	gwee	gwee	PROPN
ejpam-5538	116	10	,	,	PUNCT
ejpam-5538	116	11	m.	m.	PROPN
ejpam-5538	116	12	h.	h.	PROPN
ejpam-5538	116	13	lim	lim	PROPN
ejpam-5538	116	14	,	,	PUNCT
ejpam-5538	116	15	and	and	CCONJ
ejpam-5538	116	16	j.	j.	PROPN
ejpam-5538	116	17	s.	s.	PROPN
ejpam-5538	116	18	ho	ho	PROPN
ejpam-5538	116	19	,	,	PUNCT
ejpam-5538	116	20	solving	solve	VERB
ejpam-5538	116	21	four	four	NUM
ejpam-5538	116	22	-	-	PUNCT
ejpam-5538	116	23	colouring	colouring	NOUN
ejpam-5538	116	24	map	map	NOUN
ejpam-5538	116	25	problem	problem	NOUN
ejpam-5538	116	26	using	use	VERB
ejpam-5538	116	27	genetic	genetic	ADJ
ejpam-5538	116	28	algorithm	algorithm	NOUN
ejpam-5538	116	29	,	,	PUNCT
ejpam-5538	116	30	in	in	ADP
ejpam-5538	116	31	proceedings	proceeding	NOUN
ejpam-5538	116	32	of	of	ADP
ejpam-5538	116	33	first	first	ADJ
ejpam-5538	116	34	new	new	PROPN
ejpam-5538	116	35	zealand	zealand	PROPN
ejpam-5538	116	36	international	international	ADJ
ejpam-5538	116	37	two	two	NUM
ejpam-5538	116	38	-	-	PUNCT
ejpam-5538	116	39	stream	stream	NOUN
ejpam-5538	116	40	conference	conference	NOUN
ejpam-5538	116	41	on	on	ADP
ejpam-5538	116	42	artificial	artificial	ADJ
ejpam-5538	116	43	neural	neural	ADJ
ejpam-5538	116	44	networks	network	NOUN
ejpam-5538	116	45	and	and	CCONJ
ejpam-5538	116	46	expert	expert	NOUN
ejpam-5538	116	47	systems	system	NOUN
ejpam-5538	116	48	,	,	PUNCT
ejpam-5538	116	49	new	new	PROPN
ejpam-5538	116	50	zealand	zealand	PROPN
ejpam-5538	116	51	.	.	PUNCT
ejpam-5538	117	1	(	(	PUNCT
ejpam-5538	117	2	1993	1993	NUM
ejpam-5538	117	3	)	)	PUNCT
ejpam-5538	117	4	,	,	PUNCT
ejpam-5538	117	5	332	332	NUM
ejpam-5538	117	6	-	-	SYM
ejpam-5538	117	7	333	333	NUM
ejpam-5538	117	8	.	.	PUNCT
ejpam-5538	118	1	[	[	X
ejpam-5538	118	2	2	2	NUM
ejpam-5538	118	3	]	]	PUNCT
ejpam-5538	118	4	m.	m.	NOUN
ejpam-5538	118	5	a.	a.	NOUN
ejpam-5538	118	6	marr	marr	PROPN
ejpam-5538	118	7	and	and	CCONJ
ejpam-5538	118	8	w.	w.	PROPN
ejpam-5538	118	9	d.	d.	PROPN
ejpam-5538	118	10	wallis	wallis	PROPN
ejpam-5538	118	11	,	,	PUNCT
ejpam-5538	118	12	magic	magic	ADJ
ejpam-5538	118	13	graph	graph	NOUN
ejpam-5538	118	14	,	,	PUNCT
ejpam-5538	118	15	basel	basel	PROPN
ejpam-5538	118	16	:	:	PUNCT
ejpam-5538	118	17	birkhäuser	birkhäuser	X
ejpam-5538	118	18	.	.	PUNCT
ejpam-5538	119	1	(	(	PUNCT
ejpam-5538	119	2	2001	2001	NUM
ejpam-5538	119	3	)	)	PUNCT
ejpam-5538	119	4	.	.	PUNCT
ejpam-5538	120	1	[	[	X
ejpam-5538	120	2	3	3	NUM
ejpam-5538	120	3	]	]	X
ejpam-5538	120	4	slamin	slamin	NOUN
ejpam-5538	120	5	.	.	PUNCT
ejpam-5538	121	1	on	on	ADP
ejpam-5538	121	2	distance	distance	NOUN
ejpam-5538	121	3	irregular	irregular	ADJ
ejpam-5538	121	4	labelling	labelling	NOUN
ejpam-5538	121	5	of	of	ADP
ejpam-5538	121	6	graphs	graph	NOUN
ejpam-5538	121	7	.	.	PUNCT
ejpam-5538	122	1	far	far	PROPN
ejpam-5538	122	2	east	east	PROPN
ejpam-5538	122	3	journal	journal	PROPN
ejpam-5538	122	4	of	of	ADP
ejpam-5538	122	5	mathematical	mathematical	ADJ
ejpam-5538	122	6	sciences	science	NOUN
ejpam-5538	122	7	.	.	PUNCT
ejpam-5538	123	1	102	102	NUM
ejpam-5538	123	2	(	(	PUNCT
ejpam-5538	123	3	2017	2017	NUM
ejpam-5538	123	4	)	)	PUNCT
ejpam-5538	123	5	,	,	PUNCT
ejpam-5538	123	6	919	919	NUM
ejpam-5538	123	7	-	-	SYM
ejpam-5538	123	8	932	932	NUM
ejpam-5538	123	9	.	.	PUNCT
ejpam-5538	124	1	[	[	X
ejpam-5538	124	2	4	4	NUM
ejpam-5538	124	3	]	]	X
ejpam-5538	124	4	n.	n.	PROPN
ejpam-5538	124	5	h.	h.	PROPN
ejpam-5538	124	6	bong	bong	PROPN
ejpam-5538	124	7	,	,	PUNCT
ejpam-5538	124	8	y.	y.	PROPN
ejpam-5538	124	9	lin	lin	PROPN
ejpam-5538	124	10	,	,	PUNCT
ejpam-5538	124	11	and	and	CCONJ
ejpam-5538	124	12	slamin	slamin	PROPN
ejpam-5538	124	13	,	,	PUNCT
ejpam-5538	124	14	on	on	ADP
ejpam-5538	124	15	inclusive	inclusive	ADJ
ejpam-5538	124	16	and	and	CCONJ
ejpam-5538	124	17	non	non	ADJ
ejpam-5538	124	18	-	-	ADJ
ejpam-5538	124	19	inclusive	inclusive	ADJ
ejpam-5538	124	20	vertex	vertex	NOUN
ejpam-5538	124	21	irregular	irregular	ADJ
ejpam-5538	124	22	ddistance	ddistance	NOUN
ejpam-5538	124	23	vertex	vertex	NOUN
ejpam-5538	124	24	labelings	labeling	NOUN
ejpam-5538	124	25	,	,	PUNCT
ejpam-5538	124	26	j.	j.	PROPN
ejpam-5538	124	27	comb	comb	PROPN
ejpam-5538	124	28	.	.	PUNCT
ejpam-5538	125	1	(	(	PUNCT
ejpam-5538	125	2	2020	2020	NUM
ejpam-5538	125	3	)	)	PUNCT
ejpam-5538	125	4	.	.	PUNCT
ejpam-5538	126	1	[	[	X
ejpam-5538	126	2	5	5	NUM
ejpam-5538	126	3	]	]	X
ejpam-5538	126	4	santoso	santoso	NOUN
ejpam-5538	126	5	k	k	PROPN
ejpam-5538	126	6	,	,	PUNCT
ejpam-5538	126	7	setiawan	setiawan	PROPN
ejpam-5538	126	8	b	b	PROPN
ejpam-5538	126	9	,	,	PUNCT
ejpam-5538	126	10	kusbudiono	kusbudiono	PROPN
ejpam-5538	126	11	k	k	NOUN
ejpam-5538	126	12	,	,	PUNCT
ejpam-5538	126	13	application	application	NOUN
ejpam-5538	126	14	of	of	ADP
ejpam-5538	126	15	genetic	genetic	ADJ
ejpam-5538	126	16	algorithm	algorithm	NOUN
ejpam-5538	126	17	on	on	ADP
ejpam-5538	126	18	inclusive	inclusive	ADJ
ejpam-5538	126	19	5	5	NUM
ejpam-5538	126	20	of	of	ADP
ejpam-5538	126	21	a	a	DET
ejpam-5538	126	22	graph	graph	NOUN
ejpam-5538	126	23	,	,	PUNCT
ejpam-5538	126	24	indonesian	indonesian	ADJ
ejpam-5538	126	25	journal	journal	NOUN
ejpam-5538	126	26	of	of	ADP
ejpam-5538	126	27	pure	pure	ADJ
ejpam-5538	126	28	and	and	CCONJ
ejpam-5538	126	29	applied	applied	ADJ
ejpam-5538	126	30	mathematics	mathematic	NOUN
ejpam-5538	126	31	.	.	PUNCT
ejpam-5538	127	1	(	(	PUNCT
ejpam-5538	127	2	2022	2022	NUM
ejpam-5538	127	3	)	)	PUNCT
ejpam-5538	127	4	.	.	PUNCT
ejpam-5538	128	1	[	[	X
ejpam-5538	128	2	6	6	NUM
ejpam-5538	128	3	]	]	PUNCT
ejpam-5538	128	4	h.	h.	PROPN
ejpam-5538	128	5	li	li	PROPN
ejpam-5538	128	6	.	.	PUNCT
ejpam-5538	129	1	a	a	DET
ejpam-5538	129	2	visual	visual	ADJ
ejpam-5538	129	3	canonical	canonical	ADJ
ejpam-5538	129	4	adjacency	adjacency	NOUN
ejpam-5538	129	5	matrix	matrix	NOUN
ejpam-5538	129	6	for	for	ADP
ejpam-5538	129	7	graphs	graph	NOUN
ejpam-5538	129	8	,	,	PUNCT
ejpam-5538	129	9	lowell	lowell	PROPN
ejpam-5538	129	10	:	:	PUNCT
ejpam-5538	129	11	department	department	NOUN
ejpam-5538	129	12	of	of	ADP
ejpam-5538	129	13	computer	computer	NOUN
ejpam-5538	129	14	science	science	NOUN
ejpam-5538	129	15	.	.	PUNCT
ejpam-5538	130	1	university	university	PROPN
ejpam-5538	130	2	of	of	ADP
ejpam-5538	130	3	massachusetts	massachusetts	PROPN
ejpam-5538	130	4	lowell	lowell	PROPN
ejpam-5538	130	5	.	.	PUNCT
ejpam-5538	131	1	(	(	PUNCT
ejpam-5538	131	2	2009	2009	NUM
ejpam-5538	131	3	)	)	PUNCT
ejpam-5538	131	4	.	.	PUNCT
ejpam-5538	132	1	[	[	X
ejpam-5538	132	2	7	7	X
ejpam-5538	132	3	]	]	X
ejpam-5538	132	4	h.	h.	NOUN
ejpam-5538	132	5	tomori	tomori	PROPN
ejpam-5538	132	6	and	and	CCONJ
ejpam-5538	132	7	k.	k.	PROPN
ejpam-5538	132	8	hiyoshi	hiyoshi	PROPN
ejpam-5538	132	9	,	,	PUNCT
ejpam-5538	132	10	control	control	NOUN
ejpam-5538	132	11	of	of	ADP
ejpam-5538	132	12	pneumatic	pneumatic	ADJ
ejpam-5538	132	13	artificial	artificial	ADJ
ejpam-5538	132	14	muscles	muscle	NOUN
ejpam-5538	132	15	using	use	VERB
ejpam-5538	132	16	local	local	ADJ
ejpam-5538	132	17	cyclic	cyclic	ADJ
ejpam-5538	132	18	inputs	input	NOUN
ejpam-5538	132	19	and	and	CCONJ
ejpam-5538	132	20	genetic	genetic	ADJ
ejpam-5538	132	21	algorithm	algorithm	NOUN
ejpam-5538	132	22	,	,	PUNCT
ejpam-5538	132	23	actuators	actuator	NOUN
ejpam-5538	132	24	.	.	PUNCT
ejpam-5538	133	1	7	7	NUM
ejpam-5538	133	2	(	(	PUNCT
ejpam-5538	133	3	2018	2018	NUM
ejpam-5538	133	4	)	)	PUNCT
ejpam-5538	133	5	.	.	PUNCT
ejpam-5538	134	1	[	[	X
ejpam-5538	134	2	8	8	X
ejpam-5538	134	3	]	]	PUNCT
ejpam-5538	134	4	t.	t.	PROPN
ejpam-5538	134	5	s.	s.	PROPN
ejpam-5538	134	6	widodo	widodo	PROPN
ejpam-5538	134	7	,	,	PUNCT
ejpam-5538	134	8	evolutionary	evolutionary	ADJ
ejpam-5538	134	9	computation	computation	NOUN
ejpam-5538	134	10	genetic	genetic	ADJ
ejpam-5538	134	11	algorithm	algorithm	NOUN
ejpam-5538	134	12	,	,	PUNCT
ejpam-5538	134	13	genetic	genetic	ADJ
ejpam-5538	134	14	programming	programming	NOUN
ejpam-5538	134	15	,	,	PUNCT
ejpam-5538	134	16	and	and	CCONJ
ejpam-5538	134	17	evolutionary	evolutionary	ADJ
ejpam-5538	134	18	programming	programming	NOUN
ejpam-5538	134	19	,	,	PUNCT
ejpam-5538	134	20	yogyakarta	yogyakarta	PROPN
ejpam-5538	134	21	:	:	PUNCT
ejpam-5538	134	22	graha	graha	NOUN
ejpam-5538	134	23	.	.	PUNCT
ejpam-5538	135	1	(	(	PUNCT
ejpam-5538	135	2	2012	2012	NUM
ejpam-5538	135	3	)	)	PUNCT
ejpam-5538	135	4	.	.	PUNCT
ejpam-5538	136	1	[	[	X
ejpam-5538	136	2	9	9	NUM
ejpam-5538	136	3	]	]	X
ejpam-5538	136	4	t.	t.	PROPN
ejpam-5538	136	5	m.	m.	PROPN
ejpam-5538	136	6	hung	hung	PROPN
ejpam-5538	136	7	,	,	PUNCT
ejpam-5538	136	8	optimal	optimal	ADJ
ejpam-5538	136	9	selection	selection	NOUN
ejpam-5538	136	10	for	for	ADP
ejpam-5538	136	11	an	an	DET
ejpam-5538	136	12	air	air	NOUN
ejpam-5538	136	13	suspension	suspension	NOUN
ejpam-5538	136	14	system	system	NOUN
ejpam-5538	136	15	on	on	ADP
ejpam-5538	136	16	buses	bus	NOUN
ejpam-5538	136	17	through	through	ADP
ejpam-5538	136	18	a	a	DET
ejpam-5538	136	19	unique	unique	ADJ
ejpam-5538	136	20	high	high	ADJ
ejpam-5538	136	21	level	level	NOUN
ejpam-5538	136	22	parameter	parameter	NOUN
ejpam-5538	136	23	in	in	ADP
ejpam-5538	136	24	genetic	genetic	ADJ
ejpam-5538	136	25	algorithms	algorithm	NOUN
ejpam-5538	136	26	,	,	PUNCT
ejpam-5538	136	27	heliyon	heliyon	NOUN
ejpam-5538	136	28	.	.	PUNCT
ejpam-5538	136	29	8	8	NUM
ejpam-5538	136	30	(	(	PUNCT
ejpam-5538	136	31	2022	2022	NUM
ejpam-5538	136	32	)	)	PUNCT
ejpam-5538	136	33	.	.	PUNCT
ejpam-5538	137	1	[	[	X
ejpam-5538	137	2	10	10	NUM
ejpam-5538	137	3	]	]	X
ejpam-5538	137	4	o.	o.	PROPN
ejpam-5538	137	5	a.	a.	PROPN
ejpam-5538	137	6	alimi	alimi	PROPN
ejpam-5538	137	7	,	,	PUNCT
ejpam-5538	137	8	k.	k.	PROPN
ejpam-5538	137	9	ouahada	ouahada	PROPN
ejpam-5538	137	10	,	,	PUNCT
ejpam-5538	137	11	a.	a.	PROPN
ejpam-5538	137	12	m.	m.	PROPN
ejpam-5538	137	13	abu	abu	PROPN
ejpam-5538	137	14	-	-	PUNCT
ejpam-5538	137	15	mahfouz	mahfouz	PROPN
ejpam-5538	137	16	,	,	PUNCT
ejpam-5538	137	17	s.	s.	PROPN
ejpam-5538	137	18	rimer	rimer	PROPN
ejpam-5538	137	19	,	,	PUNCT
ejpam-5538	137	20	power	power	NOUN
ejpam-5538	137	21	system	system	NOUN
ejpam-5538	137	22	events	event	VERB
ejpam-5538	137	23	classification	classification	NOUN
ejpam-5538	137	24	using	use	VERB
ejpam-5538	137	25	genetic	genetic	ADJ
ejpam-5538	137	26	algorithm	algorithm	NOUN
ejpam-5538	137	27	based	base	VERB
ejpam-5538	137	28	feature	feature	NOUN
ejpam-5538	137	29	weighting	weighting	NOUN
ejpam-5538	137	30	technique	technique	NOUN
ejpam-5538	137	31	for	for	ADP
ejpam-5538	137	32	support	support	NOUN
ejpam-5538	137	33	vector	vector	NOUN
ejpam-5538	137	34	machine	machine	NOUN
ejpam-5538	137	35	,	,	PUNCT
ejpam-5538	137	36	heliyon	heliyon	NOUN
ejpam-5538	137	37	.	.	PUNCT
ejpam-5538	138	1	7	7	NUM
ejpam-5538	138	2	(	(	PUNCT
ejpam-5538	138	3	2020	2020	NUM
ejpam-5538	138	4	)	)	PUNCT
ejpam-5538	138	5	.	.	PUNCT
ejpam-5538	139	1	[	[	X
ejpam-5538	139	2	11	11	NUM
ejpam-5538	139	3	]	]	PUNCT
ejpam-5538	139	4	m.	m.	NOUN
ejpam-5538	139	5	putnins	putnin	NOUN
ejpam-5538	139	6	and	and	CCONJ
ejpam-5538	139	7	j.	j.	PROPN
ejpam-5538	139	8	p.	p.	PROPN
ejpam-5538	139	9	androulakis	androulakis	PROPN
ejpam-5538	139	10	,	,	PUNCT
ejpam-5538	139	11	self	self	NOUN
ejpam-5538	139	12	-	-	PUNCT
ejpam-5538	139	13	selection	selection	NOUN
ejpam-5538	139	14	of	of	ADP
ejpam-5538	139	15	evolutionary	evolutionary	ADJ
ejpam-5538	139	16	strategies	strategy	NOUN
ejpam-5538	139	17	:	:	PUNCT
ejpam-5538	139	18	adaptive	adaptive	ADJ
ejpam-5538	139	19	versus	versus	ADP
ejpam-5538	139	20	non	non	ADJ
ejpam-5538	139	21	-	-	ADJ
ejpam-5538	139	22	adaptive	adaptive	ADJ
ejpam-5538	139	23	forces	force	NOUN
ejpam-5538	139	24	,	,	PUNCT
ejpam-5538	139	25	heliyon	heliyon	NOUN
ejpam-5538	139	26	.	.	PUNCT
ejpam-5538	139	27	7	7	NUM
ejpam-5538	139	28	(	(	PUNCT
ejpam-5538	139	29	2021	2021	NUM
ejpam-5538	139	30	)	)	PUNCT
ejpam-5538	139	31	.	.	PUNCT
ejpam-5538	140	1	[	[	X
ejpam-5538	140	2	12	12	NUM
ejpam-5538	140	3	]	]	PUNCT
ejpam-5538	140	4	x.	x.	PROPN
ejpam-5538	140	5	shi	shi	PROPN
ejpam-5538	140	6	,	,	PUNCT
ejpam-5538	140	7	w.	w.	PROPN
ejpam-5538	140	8	long	long	PROPN
ejpam-5538	140	9	,	,	PUNCT
ejpam-5538	140	10	y.	y.	PROPN
ejpam-5538	140	11	li	li	PROPN
ejpam-5538	140	12	,	,	PUNCT
ejpam-5538	140	13	and	and	CCONJ
ejpam-5538	140	14	d.	d.	PROPN
ejpam-5538	140	15	deng	deng	PROPN
ejpam-5538	140	16	,	,	PUNCT
ejpam-5538	140	17	multi	multi	ADJ
ejpam-5538	140	18	-	-	ADJ
ejpam-5538	140	19	population	population	ADJ
ejpam-5538	140	20	genetic	genetic	ADJ
ejpam-5538	140	21	algorithm	algorithm	NOUN
ejpam-5538	140	22	with	with	ADP
ejpam-5538	140	23	er	er	INTJ
ejpam-5538	140	24	network	network	NOUN
ejpam-5538	140	25	for	for	ADP
ejpam-5538	140	26	solving	solve	VERB
ejpam-5538	140	27	flexible	flexible	ADJ
ejpam-5538	140	28	job	job	NOUN
ejpam-5538	140	29	shop	shop	NOUN
ejpam-5538	140	30	scheduling	scheduling	NOUN
ejpam-5538	140	31	problems	problem	NOUN
ejpam-5538	140	32	,	,	PUNCT
ejpam-5538	140	33	plos	plos	PROPN
ejpam-5538	140	34	one	one	NUM
ejpam-5538	140	35	.	.	PUNCT
ejpam-5538	140	36	15	15	NUM
ejpam-5538	140	37	,	,	PUNCT
ejpam-5538	140	38	(	(	PUNCT
ejpam-5538	140	39	2020	2020	NUM
ejpam-5538	140	40	)	)	PUNCT
ejpam-5538	140	41	.	.	PUNCT
ejpam-5538	141	1	[	[	X
ejpam-5538	141	2	13	13	NUM
ejpam-5538	141	3	]	]	PUNCT
ejpam-5538	141	4	k.	k.	PROPN
ejpam-5538	141	5	t.	t.	PROPN
ejpam-5538	141	6	hidayat	hidayat	PROPN
ejpam-5538	141	7	,	,	PUNCT
ejpam-5538	141	8	r.	r.	PROPN
ejpam-5538	141	9	arifudin	arifudin	PROPN
ejpam-5538	141	10	,	,	PUNCT
ejpam-5538	141	11	and	and	CCONJ
ejpam-5538	141	12	alamsyah	alamsyah	NOUN
ejpam-5538	141	13	,	,	PUNCT
ejpam-5538	141	14	genetic	genetic	ADJ
ejpam-5538	141	15	algorithm	algorithm	NOUN
ejpam-5538	141	16	for	for	ADP
ejpam-5538	141	17	relational	relational	ADJ
ejpam-5538	141	18	database	database	NOUN
ejpam-5538	141	19	optimization	optimization	NOUN
ejpam-5538	141	20	in	in	ADP
ejpam-5538	141	21	reducing	reduce	VERB
ejpam-5538	141	22	query	query	NOUN
ejpam-5538	141	23	execution	execution	NOUN
ejpam-5538	141	24	time	time	NOUN
ejpam-5538	141	25	,	,	PUNCT
ejpam-5538	141	26	scientific	scientific	ADJ
ejpam-5538	141	27	journal	journal	NOUN
ejpam-5538	141	28	of	of	ADP
ejpam-5538	141	29	informatics	informatics	PROPN
ejpam-5538	141	30	.	.	PUNCT
ejpam-5538	142	1	5	5	NUM
ejpam-5538	142	2	(	(	PUNCT
ejpam-5538	142	3	2018	2018	NUM
ejpam-5538	142	4	)	)	PUNCT
ejpam-5538	142	5	.	.	PUNCT
ejpam-5538	143	1	[	[	X
ejpam-5538	143	2	14	14	NUM
ejpam-5538	143	3	]	]	X
ejpam-5538	143	4	l.	l.	PROPN
ejpam-5538	143	5	t.	t.	PROPN
ejpam-5538	143	6	utomoa	utomoa	PROPN
ejpam-5538	143	7	,	,	PUNCT
ejpam-5538	143	8	f.	f.	PROPN
ejpam-5538	143	9	wahyudi	wahyudi	PROPN
ejpam-5538	143	10	,	,	PUNCT
ejpam-5538	143	11	implementation	implementation	NOUN
ejpam-5538	143	12	of	of	ADP
ejpam-5538	143	13	genetic	genetic	ADJ
ejpam-5538	143	14	algorithm	algorithm	NOUN
ejpam-5538	143	15	in	in	ADP
ejpam-5538	143	16	optimization	optimization	NOUN
ejpam-5538	143	17	of	of	ADP
ejpam-5538	143	18	subject	subject	ADJ
ejpam-5538	143	19	scheduling	scheduling	NOUN
ejpam-5538	143	20	,	,	PUNCT
ejpam-5538	143	21	jeemecs	jeemec	NOUN
ejpam-5538	143	22	.	.	PUNCT
ejpam-5538	144	1	3	3	NUM
ejpam-5538	144	2	(	(	PUNCT
ejpam-5538	144	3	2020	2020	NUM
ejpam-5538	144	4	)	)	PUNCT
ejpam-5538	144	5	,	,	PUNCT
ejpam-5538	144	6	125	125	NUM
ejpam-5538	144	7	-	-	SYM
ejpam-5538	144	8	134	134	NUM
ejpam-5538	144	9	.	.	PUNCT
ejpam-5538	145	1	[	[	X
ejpam-5538	145	2	15	15	NUM
ejpam-5538	145	3	]	]	X
ejpam-5538	145	4	t.	t.	PROPN
ejpam-5538	145	5	schlick	schlick	PROPN
ejpam-5538	145	6	,	,	PUNCT
ejpam-5538	145	7	q.	q.	PROPN
ejpam-5538	145	8	zhu	zhu	PROPN
ejpam-5538	145	9	,	,	PUNCT
ejpam-5538	145	10	s.	s.	PROPN
ejpam-5538	145	11	jain	jain	PROPN
ejpam-5538	145	12	,	,	PUNCT
ejpam-5538	145	13	and	and	CCONJ
ejpam-5538	145	14	s.	s.	PROPN
ejpam-5538	145	15	yan	yan	PROPN
ejpam-5538	145	16	,	,	PUNCT
ejpam-5538	145	17	structure	structure	NOUN
ejpam-5538	145	18	-	-	PUNCT
ejpam-5538	145	19	altering	alter	VERB
ejpam-5538	145	20	mutations	mutation	NOUN
ejpam-5538	145	21	of	of	ADP
ejpam-5538	145	22	the	the	DET
ejpam-5538	145	23	sars	sar	NOUN
ejpam-5538	145	24	-	-	PUNCT
ejpam-5538	145	25	cov-2	cov-2	NOUN
ejpam-5538	145	26	frameshifting	frameshifte	VERB
ejpam-5538	145	27	rna	rna	NOUN
ejpam-5538	145	28	element	element	NOUN
ejpam-5538	145	29	,	,	PUNCT
ejpam-5538	145	30	biophysical	biophysical	ADJ
ejpam-5538	145	31	journal	journal	NOUN
ejpam-5538	145	32	.	.	PUNCT
ejpam-5538	146	1	119	119	NUM
ejpam-5538	146	2	(	(	PUNCT
ejpam-5538	146	3	2021	2021	NUM
ejpam-5538	146	4	)	)	PUNCT
ejpam-5538	146	5	,	,	PUNCT
ejpam-5538	146	6	1040–1053	1040–1053	NUM
ejpam-5538	146	7	.	.	PUNCT
ejpam-5538	147	1	references	reference	NOUN
ejpam-5538	147	2	4002	4002	NUM
ejpam-5538	148	1	[	[	X
ejpam-5538	148	2	16	16	NUM
ejpam-5538	148	3	]	]	X
ejpam-5538	148	4	n.	n.	PROPN
ejpam-5538	148	5	h.	h.	PROPN
ejpam-5538	148	6	bong	bong	PROPN
ejpam-5538	148	7	,	,	PUNCT
ejpam-5538	148	8	y.	y.	PROPN
ejpam-5538	148	9	lin	lin	PROPN
ejpam-5538	148	10	,	,	PUNCT
ejpam-5538	148	11	and	and	CCONJ
ejpam-5538	148	12	slamin	slamin	PROPN
ejpam-5538	148	13	,	,	PUNCT
ejpam-5538	148	14	on	on	ADP
ejpam-5538	148	15	distance	distance	NOUN
ejpam-5538	148	16	-	-	PUNCT
ejpam-5538	148	17	irregular	irregular	ADJ
ejpam-5538	148	18	labelings	labeling	NOUN
ejpam-5538	148	19	of	of	ADP
ejpam-5538	148	20	cycles	cycle	NOUN
ejpam-5538	148	21	and	and	CCONJ
ejpam-5538	148	22	wheels	wheel	NOUN
ejpam-5538	148	23	,	,	PUNCT
ejpam-5538	148	24	australasian	australasian	ADJ
ejpam-5538	148	25	journal	journal	NOUN
ejpam-5538	148	26	of	of	ADP
ejpam-5538	148	27	combinatorics	combinatoric	NOUN
ejpam-5538	148	28	.	.	PUNCT
ejpam-5538	149	1	69	69	NUM
ejpam-5538	149	2	(	(	PUNCT
ejpam-5538	149	3	2017	2017	NUM
ejpam-5538	149	4	)	)	PUNCT
ejpam-5538	149	5	,	,	PUNCT
ejpam-5538	149	6	315	315	NUM
ejpam-5538	149	7	-	-	SYM
ejpam-5538	149	8	322	322	NUM
ejpam-5538	149	9	.	.	PUNCT
ejpam-5538	150	1	[	[	X
ejpam-5538	150	2	17	17	NUM
ejpam-5538	150	3	]	]	SYM
ejpam-5538	150	4	7	7	NUM
ejpam-5538	150	5	l.	l.	PROPN
ejpam-5538	150	6	a.	a.	NOUN
ejpam-5538	150	7	anggraini	anggraini	PROPN
ejpam-5538	150	8	,	,	PUNCT
ejpam-5538	150	9	i.	i.	PROPN
ejpam-5538	150	10	rosyida	rosyida	PROPN
ejpam-5538	150	11	,	,	PUNCT
ejpam-5538	150	12	and	and	CCONJ
ejpam-5538	150	13	t.	t.	PROPN
ejpam-5538	150	14	s.	s.	PROPN
ejpam-5538	150	15	n.	n.	PROPN
ejpam-5538	150	16	asih	asih	PROPN
ejpam-5538	150	17	,	,	PUNCT
ejpam-5538	150	18	graph	graph	NOUN
ejpam-5538	150	19	coloring	coloring	NOUN
ejpam-5538	150	20	problem	problem	NOUN
ejpam-5538	150	21	solving	solve	VERB
ejpam-5538	150	22	using	use	VERB
ejpam-5538	150	23	genetic	genetic	ADJ
ejpam-5538	150	24	algorithm	algorithm	NOUN
ejpam-5538	150	25	,	,	PUNCT
ejpam-5538	150	26	unnes	unne	NOUN
ejpam-5538	150	27	journal	journal	NOUN
ejpam-5538	150	28	of	of	ADP
ejpam-5538	150	29	mathematics	mathematic	NOUN
ejpam-5538	150	30	.	.	PUNCT
ejpam-5538	151	1	8	8	NUM
ejpam-5538	151	2	(	(	PUNCT
ejpam-5538	151	3	2019	2019	NUM
ejpam-5538	151	4	)	)	PUNCT
ejpam-5538	151	5	,	,	PUNCT
ejpam-5538	151	6	30	30	NUM
ejpam-5538	151	7	-	-	SYM
ejpam-5538	151	8	39	39	NUM
ejpam-5538	151	9	.	.	PUNCT