id	sid	tid	token	lemma	pos
iajs-2378	1	1	119	119	NUM
iajs-2378	1	2	ibn	ibn	PROPN
iajs-2378	1	3	al	al	PROPN
iajs-2378	1	4	-	-	PUNCT
iajs-2378	1	5	haitham	haitham	PROPN
iajs-2378	1	6	jour	jour	X
iajs-2378	1	7	.	.	PROPN
iajs-2378	1	8	for	for	ADP
iajs-2378	1	9	pure	pure	ADJ
iajs-2378	1	10	&	&	CCONJ
iajs-2378	1	11	appl	appl	PROPN
iajs-2378	1	12	.	.	PUNCT
iajs-2378	2	1	sci	sci	PROPN
iajs-2378	2	2	.	.	PROPN
iajs-2378	3	1	33	33	NUM
iajs-2378	3	2	(	(	PUNCT
iajs-2378	3	3	1	1	NUM
iajs-2378	3	4	)	)	PUNCT
iajs-2378	3	5	2020	2020	NUM
iajs-2378	4	1	abstract	abstract	NOUN
iajs-2378	4	2	in	in	ADP
iajs-2378	4	3	this	this	DET
iajs-2378	4	4	paper	paper	NOUN
iajs-2378	4	5	,	,	PUNCT
iajs-2378	4	6	two	two	NUM
iajs-2378	4	7	of	of	ADP
iajs-2378	4	8	the	the	DET
iajs-2378	4	9	local	local	ADJ
iajs-2378	4	10	search	search	NOUN
iajs-2378	4	11	algorithms	algorithm	NOUN
iajs-2378	4	12	are	be	AUX
iajs-2378	4	13	used	use	VERB
iajs-2378	4	14	(	(	PUNCT
iajs-2378	4	15	genetic	genetic	ADJ
iajs-2378	4	16	algorithm	algorithm	NOUN
iajs-2378	4	17	and	and	CCONJ
iajs-2378	4	18	particle	particle	NOUN
iajs-2378	4	19	swarm	swarm	NOUN
iajs-2378	4	20	optimization	optimization	NOUN
iajs-2378	4	21	)	)	PUNCT
iajs-2378	4	22	,	,	PUNCT
iajs-2378	4	23	in	in	ADP
iajs-2378	4	24	scheduling	scheduling	NOUN
iajs-2378	4	25	number	number	NOUN
iajs-2378	4	26	of	of	ADP
iajs-2378	4	27	products	product	NOUN
iajs-2378	4	28	(	(	PUNCT
iajs-2378	4	29	n	n	CCONJ
iajs-2378	4	30	jobs	job	NOUN
iajs-2378	4	31	)	)	PUNCT
iajs-2378	4	32	on	on	ADP
iajs-2378	4	33	a	a	DET
iajs-2378	4	34	single	single	ADJ
iajs-2378	4	35	machine	machine	NOUN
iajs-2378	4	36	to	to	PART
iajs-2378	4	37	minimize	minimize	VERB
iajs-2378	4	38	a	a	DET
iajs-2378	4	39	multi	multi	ADJ
iajs-2378	4	40	-	-	ADJ
iajs-2378	4	41	objective	objective	ADJ
iajs-2378	4	42	function	function	NOUN
iajs-2378	4	43	which	which	PRON
iajs-2378	4	44	is	be	AUX
iajs-2378	4	45	denoted	denote	VERB
iajs-2378	4	46	as	as	ADP
iajs-2378	4	47	∑	∑	PROPN
iajs-2378	4	48	(	(	PUNCT
iajs-2378	4	49	total	total	ADJ
iajs-2378	4	50	completion	completion	NOUN
iajs-2378	4	51	time	time	NOUN
iajs-2378	4	52	,	,	PUNCT
iajs-2378	4	53	total	total	ADJ
iajs-2378	4	54	tardiness	tardiness	NOUN
iajs-2378	4	55	,	,	PUNCT
iajs-2378	4	56	total	total	ADJ
iajs-2378	4	57	earliness	earliness	NOUN
iajs-2378	4	58	and	and	CCONJ
iajs-2378	4	59	the	the	DET
iajs-2378	4	60	total	total	ADJ
iajs-2378	4	61	late	late	ADJ
iajs-2378	4	62	work	work	NOUN
iajs-2378	4	63	)	)	PUNCT
iajs-2378	4	64	.	.	PUNCT
iajs-2378	5	1	a	a	DET
iajs-2378	5	2	branch	branch	NOUN
iajs-2378	5	3	and	and	CCONJ
iajs-2378	5	4	bound	bind	VERB
iajs-2378	5	5	(	(	PUNCT
iajs-2378	5	6	bab	bab	PROPN
iajs-2378	5	7	)	)	PUNCT
iajs-2378	5	8	method	method	NOUN
iajs-2378	5	9	is	be	AUX
iajs-2378	5	10	used	use	VERB
iajs-2378	5	11	for	for	ADP
iajs-2378	5	12	comparing	compare	VERB
iajs-2378	5	13	the	the	DET
iajs-2378	5	14	results	result	NOUN
iajs-2378	5	15	for	for	ADP
iajs-2378	5	16	(	(	PUNCT
iajs-2378	5	17	n	n	CCONJ
iajs-2378	5	18	)	)	PUNCT
iajs-2378	5	19	jobs	job	NOUN
iajs-2378	5	20	starting	start	VERB
iajs-2378	5	21	from	from	ADP
iajs-2378	5	22	(	(	PUNCT
iajs-2378	5	23	5	5	NUM
iajs-2378	5	24	-	-	SYM
iajs-2378	5	25	18	18	NUM
iajs-2378	5	26	)	)	PUNCT
iajs-2378	5	27	.	.	PUNCT
iajs-2378	6	1	the	the	DET
iajs-2378	6	2	results	result	NOUN
iajs-2378	6	3	show	show	VERB
iajs-2378	6	4	that	that	SCONJ
iajs-2378	6	5	the	the	DET
iajs-2378	6	6	two	two	NUM
iajs-2378	6	7	algorithms	algorithm	NOUN
iajs-2378	6	8	have	have	AUX
iajs-2378	6	9	found	find	VERB
iajs-2378	6	10	the	the	DET
iajs-2378	6	11	optimal	optimal	ADJ
iajs-2378	6	12	and	and	CCONJ
iajs-2378	6	13	near	near	ADP
iajs-2378	6	14	optimal	optimal	ADJ
iajs-2378	6	15	solutions	solution	NOUN
iajs-2378	6	16	in	in	ADP
iajs-2378	6	17	an	an	DET
iajs-2378	6	18	appropriate	appropriate	ADJ
iajs-2378	6	19	time	time	NOUN
iajs-2378	6	20	.	.	PUNCT
iajs-2378	7	1	key	key	ADJ
iajs-2378	7	2	word	word	NOUN
iajs-2378	7	3	:	:	PUNCT
iajs-2378	7	4	the	the	DET
iajs-2378	7	5	branch	branch	NOUN
iajs-2378	7	6	and	and	CCONJ
iajs-2378	7	7	bound	bind	VERB
iajs-2378	7	8	method	method	NOUN
iajs-2378	7	9	(	(	PUNCT
iajs-2378	7	10	bab	bab	PROPN
iajs-2378	7	11	)	)	PUNCT
iajs-2378	7	12	,	,	PUNCT
iajs-2378	7	13	the	the	DET
iajs-2378	7	14	local	local	ADJ
iajs-2378	7	15	search	search	NOUN
iajs-2378	7	16	algorithms	algorithm	NOUN
iajs-2378	7	17	,	,	PUNCT
iajs-2378	7	18	the	the	DET
iajs-2378	7	19	genetic	genetic	ADJ
iajs-2378	7	20	algorithm	algorithm	NOUN
iajs-2378	7	21	(	(	PUNCT
iajs-2378	7	22	ga	ga	PROPN
iajs-2378	7	23	)	)	PUNCT
iajs-2378	7	24	,	,	PUNCT
iajs-2378	7	25	the	the	DET
iajs-2378	7	26	particle	particle	NOUN
iajs-2378	7	27	swarm	swarm	NOUN
iajs-2378	7	28	optimization	optimization	NOUN
iajs-2378	7	29	(	(	PUNCT
iajs-2378	7	30	pso	pso	NOUN
iajs-2378	7	31	)	)	PUNCT
iajs-2378	7	32	,	,	PUNCT
iajs-2378	7	33	the	the	DET
iajs-2378	7	34	multi	multi	ADJ
iajs-2378	7	35	-	-	ADJ
iajs-2378	7	36	objective	objective	ADJ
iajs-2378	7	37	problems	problem	NOUN
iajs-2378	7	38	.	.	PUNCT
iajs-2378	8	1	1.introduction	1.introduction	NUM
iajs-2378	8	2	in	in	ADP
iajs-2378	8	3	the	the	DET
iajs-2378	8	4	matter	matter	NOUN
iajs-2378	8	5	of	of	ADP
iajs-2378	8	6	dealing	deal	VERB
iajs-2378	8	7	with	with	ADP
iajs-2378	8	8	scheduling	scheduling	NOUN
iajs-2378	8	9	problems	problem	NOUN
iajs-2378	8	10	,	,	PUNCT
iajs-2378	8	11	there	there	PRON
iajs-2378	8	12	are	be	VERB
iajs-2378	8	13	given	give	VERB
iajs-2378	8	14	a	a	DET
iajs-2378	8	15	finite	finite	NOUN
iajs-2378	8	16	or	or	CCONJ
iajs-2378	8	17	countable	countable	ADJ
iajs-2378	8	18	infinite	infinite	ADJ
iajs-2378	8	19	set	set	NOUN
iajs-2378	8	20	of	of	ADP
iajs-2378	8	21	solutions	solution	NOUN
iajs-2378	8	22	in	in	ADP
iajs-2378	8	23	which	which	PRON
iajs-2378	8	24	we	we	PRON
iajs-2378	8	25	have	have	VERB
iajs-2378	8	26	to	to	PART
iajs-2378	8	27	find	find	VERB
iajs-2378	8	28	one	one	NUM
iajs-2378	8	29	solution	solution	NOUN
iajs-2378	8	30	of	of	ADP
iajs-2378	8	31	them	they	PRON
iajs-2378	8	32	that	that	PRON
iajs-2378	8	33	optimizes	optimize	VERB
iajs-2378	8	34	(	(	PUNCT
iajs-2378	8	35	minimizes	minimize	NOUN
iajs-2378	8	36	or	or	CCONJ
iajs-2378	8	37	maximizes	maximize	NOUN
iajs-2378	8	38	)	)	PUNCT
iajs-2378	8	39	a	a	DET
iajs-2378	8	40	given	give	VERB
iajs-2378	8	41	specific	specific	ADJ
iajs-2378	8	42	cost	cost	NOUN
iajs-2378	8	43	function	function	NOUN
iajs-2378	8	44	.	.	PUNCT
iajs-2378	9	1	the	the	DET
iajs-2378	9	2	computational	computational	ADJ
iajs-2378	9	3	complexity	complexity	NOUN
iajs-2378	9	4	theory	theory	NOUN
iajs-2378	9	5	shapes	shape	VERB
iajs-2378	9	6	the	the	DET
iajs-2378	9	7	difference	difference	NOUN
iajs-2378	9	8	between	between	ADP
iajs-2378	9	9	easiness	easiness	NOUN
iajs-2378	9	10	and	and	CCONJ
iajs-2378	9	11	hardiness	hardiness	ADJ
iajs-2378	9	12	of	of	ADP
iajs-2378	9	13	the	the	DET
iajs-2378	9	14	problems	problem	NOUN
iajs-2378	9	15	,	,	PUNCT
iajs-2378	9	16	where	where	SCONJ
iajs-2378	9	17	a	a	DET
iajs-2378	9	18	problem	problem	NOUN
iajs-2378	9	19	is	be	AUX
iajs-2378	9	20	easy	easy	ADJ
iajs-2378	9	21	if	if	SCONJ
iajs-2378	9	22	there	there	PRON
iajs-2378	9	23	is	be	VERB
iajs-2378	9	24	a	a	DET
iajs-2378	9	25	polynomial	polynomial	ADJ
iajs-2378	9	26	-	-	PUNCT
iajs-2378	9	27	time	time	NOUN
iajs-2378	9	28	algorithm	algorithm	NOUN
iajs-2378	9	29	solves	solve	VERB
iajs-2378	9	30	it	it	PRON
iajs-2378	9	31	and	and	CCONJ
iajs-2378	9	32	obtains	obtain	VERB
iajs-2378	9	33	an	an	DET
iajs-2378	9	34	optimal	optimal	ADJ
iajs-2378	9	35	solution	solution	NOUN
iajs-2378	9	36	.	.	PUNCT
iajs-2378	10	1	a	a	DET
iajs-2378	10	2	problem	problem	NOUN
iajs-2378	10	3	is	be	AUX
iajs-2378	10	4	said	say	VERB
iajs-2378	10	5	to	to	PART
iajs-2378	10	6	be	be	AUX
iajs-2378	10	7	hard	hard	ADJ
iajs-2378	10	8	(	(	PUNCT
iajs-2378	10	9	or	or	CCONJ
iajs-2378	10	10	np	np	INTJ
iajs-2378	10	11	-	-	PUNCT
iajs-2378	10	12	hard	hard	ADV
iajs-2378	10	13	)	)	PUNCT
iajs-2378	10	14	if	if	SCONJ
iajs-2378	10	15	there	there	PRON
iajs-2378	10	16	exist	exist	VERB
iajs-2378	10	17	no	no	DET
iajs-2378	10	18	such	such	ADJ
iajs-2378	10	19	polynomial	polynomial	ADJ
iajs-2378	10	20	-	-	PUNCT
iajs-2378	10	21	time	time	NOUN
iajs-2378	10	22	algorithm	algorithm	NOUN
iajs-2378	10	23	to	to	PART
iajs-2378	10	24	solve	solve	VERB
iajs-2378	10	25	it	it	PRON
iajs-2378	10	26	.	.	PUNCT
iajs-2378	11	1	so	so	ADV
iajs-2378	11	2	,	,	PUNCT
iajs-2378	11	3	when	when	SCONJ
iajs-2378	11	4	we	we	PRON
iajs-2378	11	5	deal	deal	VERB
iajs-2378	11	6	with	with	ADP
iajs-2378	11	7	an	an	DET
iajs-2378	11	8	np	np	NOUN
iajs-2378	11	9	-	-	PUNCT
iajs-2378	11	10	hard	hard	ADJ
iajs-2378	11	11	problem	problem	NOUN
iajs-2378	11	12	,	,	PUNCT
iajs-2378	11	13	there	there	PRON
iajs-2378	11	14	are	be	VERB
iajs-2378	11	15	two	two	NUM
iajs-2378	11	16	ways	way	NOUN
iajs-2378	11	17	for	for	ADP
iajs-2378	11	18	treating	treat	VERB
iajs-2378	11	19	it	it	PRON
iajs-2378	11	20	.	.	PUNCT
iajs-2378	12	1	the	the	DET
iajs-2378	12	2	first	first	ADJ
iajs-2378	12	3	one	one	NUM
iajs-2378	12	4	is	be	AUX
iajs-2378	12	5	to	to	PART
iajs-2378	12	6	target	target	VERB
iajs-2378	12	7	an	an	DET
iajs-2378	12	8	optimal	optimal	ADJ
iajs-2378	12	9	solution	solution	NOUN
iajs-2378	12	10	,	,	PUNCT
iajs-2378	12	11	while	while	SCONJ
iajs-2378	12	12	the	the	DET
iajs-2378	12	13	second	second	NOUN
iajs-2378	12	14	is	be	AUX
iajs-2378	12	15	by	by	ADP
iajs-2378	12	16	using	use	VERB
iajs-2378	12	17	a	a	DET
iajs-2378	12	18	heuristic	heuristic	ADJ
iajs-2378	12	19	algorithm	algorithm	NOUN
iajs-2378	12	20	.	.	PUNCT
iajs-2378	13	1	the	the	DET
iajs-2378	13	2	solutions	solution	NOUN
iajs-2378	13	3	which	which	PRON
iajs-2378	13	4	are	be	AUX
iajs-2378	13	5	found	find	VERB
iajs-2378	13	6	by	by	ADP
iajs-2378	13	7	the	the	DET
iajs-2378	13	8	heuristic	heuristic	ADJ
iajs-2378	13	9	algorithm	algorithm	NOUN
iajs-2378	13	10	do	do	AUX
iajs-2378	13	11	not	not	PART
iajs-2378	13	12	need	need	VERB
iajs-2378	13	13	to	to	PART
iajs-2378	13	14	be	be	AUX
iajs-2378	13	15	optimal	optimal	ADJ
iajs-2378	13	16	,	,	PUNCT
iajs-2378	13	17	but	but	CCONJ
iajs-2378	13	18	they	they	PRON
iajs-2378	13	19	are	be	AUX
iajs-2378	13	20	found	find	VERB
iajs-2378	13	21	with	with	ADP
iajs-2378	13	22	an	an	DET
iajs-2378	13	23	acceptable	acceptable	ADJ
iajs-2378	13	24	time	time	NOUN
iajs-2378	13	25	(	(	PUNCT
iajs-2378	13	26	i.e.	i.e.	X
iajs-2378	13	27	the	the	DET
iajs-2378	13	28	heuristic	heuristic	ADJ
iajs-2378	13	29	algorithms	algorithm	NOUN
iajs-2378	13	30	trade	trade	VERB
iajs-2378	13	31	off	off	ADP
iajs-2378	13	32	the	the	DET
iajs-2378	13	33	optimality	optimality	NOUN
iajs-2378	13	34	versus	versus	ADP
iajs-2378	13	35	the	the	DET
iajs-2378	13	36	computing	computing	NOUN
iajs-2378	13	37	time	time	NOUN
iajs-2378	13	38	)	)	PUNCT
iajs-2378	13	39	.	.	PUNCT
iajs-2378	14	1	the	the	DET
iajs-2378	14	2	heuristic	heuristic	ADJ
iajs-2378	14	3	algorithms	algorithm	NOUN
iajs-2378	14	4	can	can	AUX
iajs-2378	14	5	be	be	AUX
iajs-2378	14	6	classified	classify	VERB
iajs-2378	14	7	into	into	ADP
iajs-2378	14	8	constructive	constructive	ADJ
iajs-2378	14	9	algorithms	algorithm	NOUN
iajs-2378	14	10	and	and	CCONJ
iajs-2378	14	11	local	local	ADJ
iajs-2378	14	12	search	search	NOUN
iajs-2378	14	13	algorithms	algorithm	NOUN
iajs-2378	14	14	.	.	PUNCT
iajs-2378	15	1	the	the	DET
iajs-2378	15	2	constructive	constructive	ADJ
iajs-2378	15	3	algorithm	algorithm	NOUN
iajs-2378	15	4	generates	generate	VERB
iajs-2378	15	5	a	a	DET
iajs-2378	15	6	solution	solution	NOUN
iajs-2378	15	7	by	by	ADP
iajs-2378	15	8	a	a	DET
iajs-2378	15	9	number	number	NOUN
iajs-2378	15	10	of	of	ADP
iajs-2378	15	11	steps	step	NOUN
iajs-2378	15	12	,	,	PUNCT
iajs-2378	15	13	where	where	SCONJ
iajs-2378	15	14	in	in	ADP
iajs-2378	15	15	every	every	DET
iajs-2378	15	16	step	step	NOUN
iajs-2378	15	17	the	the	DET
iajs-2378	15	18	partial	partial	ADJ
iajs-2378	15	19	solution	solution	NOUN
iajs-2378	15	20	obtained	obtain	VERB
iajs-2378	15	21	is	be	AUX
iajs-2378	15	22	extended	extend	VERB
iajs-2378	15	23	till	till	SCONJ
iajs-2378	15	24	we	we	PRON
iajs-2378	15	25	get	get	VERB
iajs-2378	15	26	the	the	DET
iajs-2378	15	27	complete	complete	ADJ
iajs-2378	15	28	solution	solution	NOUN
iajs-2378	15	29	in	in	ADP
iajs-2378	15	30	the	the	DET
iajs-2378	15	31	last	last	ADJ
iajs-2378	15	32	step	step	NOUN
iajs-2378	15	33	.	.	PUNCT
iajs-2378	16	1	on	on	ADP
iajs-2378	16	2	the	the	DET
iajs-2378	16	3	other	other	ADJ
iajs-2378	16	4	hand	hand	NOUN
iajs-2378	16	5	,	,	PUNCT
iajs-2378	16	6	the	the	DET
iajs-2378	16	7	local	local	ADJ
iajs-2378	16	8	search	search	NOUN
iajs-2378	16	9	algorithms	algorithm	NOUN
iajs-2378	16	10	are	be	AUX
iajs-2378	16	11	search	search	NOUN
iajs-2378	16	12	in	in	ADP
iajs-2378	16	13	the	the	DET
iajs-2378	16	14	entire	entire	ADJ
iajs-2378	16	15	solution	solution	NOUN
iajs-2378	16	16	space	space	NOUN
iajs-2378	16	17	for	for	ADP
iajs-2378	16	18	the	the	DET
iajs-2378	16	19	best	good	ADJ
iajs-2378	16	20	solutions	solution	NOUN
iajs-2378	16	21	,	,	PUNCT
iajs-2378	16	22	in	in	ADP
iajs-2378	16	23	other	other	ADJ
iajs-2378	16	24	words	word	NOUN
iajs-2378	16	25	it	it	PRON
iajs-2378	16	26	begins	begin	VERB
iajs-2378	16	27	with	with	ADP
iajs-2378	16	28	an	an	DET
iajs-2378	16	29	initial	initial	ADJ
iajs-2378	16	30	solution	solution	NOUN
iajs-2378	16	31	and	and	CCONJ
iajs-2378	16	32	then	then	ADV
iajs-2378	16	33	recursively	recursively	ADV
iajs-2378	16	34	generate	generate	VERB
iajs-2378	16	35	a	a	DET
iajs-2378	16	36	new	new	ADJ
iajs-2378	16	37	solution	solution	NOUN
iajs-2378	16	38	which	which	PRON
iajs-2378	16	39	is	be	AUX
iajs-2378	16	40	near	near	ADJ
iajs-2378	16	41	to	to	ADP
iajs-2378	16	42	the	the	DET
iajs-2378	16	43	current	current	ADJ
iajs-2378	16	44	one	one	NUM
iajs-2378	16	45	.	.	PUNCT
iajs-2378	17	1	while	while	SCONJ
iajs-2378	17	2	the	the	DET
iajs-2378	17	3	solutions	solution	NOUN
iajs-2378	17	4	of	of	ADP
iajs-2378	17	5	many	many	ADJ
iajs-2378	17	6	scheduling	scheduling	NOUN
iajs-2378	17	7	problems	problem	NOUN
iajs-2378	17	8	can	can	AUX
iajs-2378	17	9	be	be	AUX
iajs-2378	17	10	represented	represent	VERB
iajs-2378	17	11	by	by	ADP
iajs-2378	17	12	sequences	sequence	NOUN
iajs-2378	17	13	,	,	PUNCT
iajs-2378	17	14	permutations	permutation	NOUN
iajs-2378	17	15	and	and	CCONJ
iajs-2378	17	16	graphs	graph	NOUN
iajs-2378	17	17	,	,	PUNCT
iajs-2378	17	18	the	the	DET
iajs-2378	17	19	local	local	ADJ
iajs-2378	17	20	search	search	NOUN
iajs-2378	17	21	algorithms	algorithm	NOUN
iajs-2378	17	22	can	can	AUX
iajs-2378	17	23	use	use	VERB
iajs-2378	17	24	these	these	DET
iajs-2378	17	25	representations	representation	NOUN
iajs-2378	17	26	by	by	ADP
iajs-2378	17	27	defining	define	VERB
iajs-2378	17	28	alaa	alaa	PROPN
iajs-2378	17	29	sabah	sabah	PROPN
iajs-2378	17	30	hameed	hameed	PROPN
iajs-2378	17	31	hanan	hanan	PROPN
iajs-2378	17	32	ali	ali	PROPN
iajs-2378	17	33	chachan	chachan	PROPN
iajs-2378	17	34	doi	doi	PROPN
iajs-2378	17	35	:	:	PUNCT
iajs-2378	17	36	10.30526/33.1.2378	10.30526/33.1.2378	PROPN
iajs-2378	17	37	article	article	NOUN
iajs-2378	17	38	history	history	NOUN
iajs-2378	17	39	:	:	PUNCT
iajs-2378	17	40	received	receive	VERB
iajs-2378	17	41	29	29	NUM
iajs-2378	17	42	april	april	PROPN
iajs-2378	17	43	2019	2019	NUM
iajs-2378	17	44	,	,	PUNCT
iajs-2378	17	45	accepted	accept	VERB
iajs-2378	17	46	11	11	NUM
iajs-2378	17	47	june	june	PROPN
iajs-2378	17	48	2019	2019	NUM
iajs-2378	17	49	,	,	PUNCT
iajs-2378	17	50	publish	publish	VERB
iajs-2378	17	51	january	january	PROPN
iajs-2378	17	52	2020	2020	NUM
iajs-2378	17	53	.	.	PUNCT
iajs-2378	18	1	alaasabah127@gmail.com	alaasabah127@gmail.com	X
iajs-2378	18	2	genetic	genetic	ADJ
iajs-2378	18	3	algorithm	algorithm	NOUN
iajs-2378	18	4	and	and	CCONJ
iajs-2378	18	5	particle	particle	NOUN
iajs-2378	18	6	swarm	swarm	NOUN
iajs-2378	18	7	optimization	optimization	NOUN
iajs-2378	18	8	techniques	technique	NOUN
iajs-2378	18	9	for	for	ADP
iajs-2378	18	10	solving	solve	VERB
iajs-2378	18	11	multi	multi	ADJ
iajs-2378	18	12	-	-	NOUN
iajs-2378	18	13	objectives	objective	NOUN
iajs-2378	18	14	on	on	ADP
iajs-2378	18	15	single	single	ADJ
iajs-2378	18	16	machine	machine	NOUN
iajs-2378	18	17	scheduling	scheduling	NOUN
iajs-2378	18	18	problem	problem	NOUN
iajs-2378	18	19	ibn	ibn	PROPN
iajs-2378	18	20	al	al	PROPN
iajs-2378	18	21	haitham	haitham	PROPN
iajs-2378	18	22	journal	journal	PROPN
iajs-2378	18	23	for	for	ADP
iajs-2378	18	24	pure	pure	ADJ
iajs-2378	18	25	and	and	CCONJ
iajs-2378	18	26	applied	apply	VERB
iajs-2378	18	27	science	science	NOUN
iajs-2378	18	28	journal	journal	PROPN
iajs-2378	18	29	homepage	homepage	NOUN
iajs-2378	18	30	:	:	PUNCT
iajs-2378	18	31	http://jih.uobaghdad.edu.iq/index.php/j/index	http://jih.uobaghdad.edu.iq/index.php/j/index	PROPN
iajs-2378	18	32	hanan_altaai@yahoo.com	hanan_altaai@yahoo.com	PROPN
iajs-2378	18	33	department	department	PROPN
iajs-2378	18	34	of	of	ADP
iajs-2378	18	35	mathematics	mathematics	PROPN
iajs-2378	18	36	college	college	PROPN
iajs-2378	18	37	of	of	ADP
iajs-2378	18	38	sciences	sciences	PROPN
iajs-2378	18	39	,	,	PUNCT
iajs-2378	18	40	al	al	PROPN
iajs-2378	18	41	-	-	PUNCT
iajs-2378	18	42	mustansireah	mustansireah	PROPN
iajs-2378	18	43	university	university	PROPN
iajs-2378	18	44	,	,	PUNCT
iajs-2378	18	45	iraq	iraq	PROPN
iajs-2378	18	46	.	.	PUNCT
iajs-2378	19	1	file:///d:/فزياء%20العدد%20الثالث%202019/moaayed99@gmail.com	file:///d:/فزياء%20العدد%20الثالث%202019/moaayed99@gmail.com	X
iajs-2378	19	2	alaasabah127@gmail.com	alaasabah127@gmail.com	X
iajs-2378	19	3	hanan_altaai@yahoo.com%20	hanan_altaai@yahoo.com%20	PROPN
iajs-2378	19	4	120	120	NUM
iajs-2378	19	5	ibn	ibn	PROPN
iajs-2378	19	6	al	al	PROPN
iajs-2378	19	7	-	-	PUNCT
iajs-2378	19	8	haitham	haitham	PROPN
iajs-2378	19	9	jour	jour	X
iajs-2378	19	10	.	.	PROPN
iajs-2378	20	1	for	for	ADP
iajs-2378	20	2	pure	pure	ADJ
iajs-2378	20	3	&	&	CCONJ
iajs-2378	20	4	appl	appl	PROPN
iajs-2378	20	5	.	.	PUNCT
iajs-2378	21	1	sci	sci	PROPN
iajs-2378	21	2	.	.	PROPN
iajs-2378	22	1	33	33	NUM
iajs-2378	22	2	(	(	PUNCT
iajs-2378	22	3	1	1	NUM
iajs-2378	22	4	)	)	PUNCT
iajs-2378	22	5	2020	2020	NUM
iajs-2378	22	6	neighborhood	neighborhood	NOUN
iajs-2378	22	7	functions	function	NOUN
iajs-2378	22	8	with	with	ADP
iajs-2378	22	9	conditions	condition	NOUN
iajs-2378	22	10	of	of	ADP
iajs-2378	22	11	reordering	reorder	VERB
iajs-2378	22	12	items	item	NOUN
iajs-2378	22	13	locally	locally	ADV
iajs-2378	22	14	to	to	PART
iajs-2378	22	15	get	get	VERB
iajs-2378	22	16	(	(	PUNCT
iajs-2378	22	17	obtain	obtain	VERB
iajs-2378	22	18	)	)	PUNCT
iajs-2378	22	19	a	a	DET
iajs-2378	22	20	neighboring	neighboring	NOUN
iajs-2378	22	21	solution	solution	NOUN
iajs-2378	22	22	[	[	X
iajs-2378	22	23	1	1	NUM
iajs-2378	22	24	]	]	PUNCT
iajs-2378	22	25	.	.	PUNCT
iajs-2378	23	1	since	since	SCONJ
iajs-2378	23	2	the	the	DET
iajs-2378	23	3	introduction	introduction	NOUN
iajs-2378	23	4	of	of	ADP
iajs-2378	23	5	the	the	DET
iajs-2378	23	6	local	local	ADJ
iajs-2378	23	7	search	search	NOUN
iajs-2378	23	8	techniques	technique	NOUN
iajs-2378	23	9	in	in	ADP
iajs-2378	23	10	the	the	DET
iajs-2378	23	11	combinatorial	combinatorial	ADJ
iajs-2378	23	12	optimization	optimization	NOUN
iajs-2378	23	13	problems	problem	NOUN
iajs-2378	23	14	,	,	PUNCT
iajs-2378	23	15	the	the	DET
iajs-2378	23	16	specialists	specialist	NOUN
iajs-2378	23	17	have	have	AUX
iajs-2378	23	18	used	use	VERB
iajs-2378	23	19	these	these	DET
iajs-2378	23	20	techniques	technique	NOUN
iajs-2378	23	21	for	for	ADP
iajs-2378	23	22	solving	solve	VERB
iajs-2378	23	23	the	the	DET
iajs-2378	23	24	np	np	NOUN
iajs-2378	23	25	-	-	PUNCT
iajs-2378	23	26	hard	hard	ADJ
iajs-2378	23	27	problems	problem	NOUN
iajs-2378	23	28	.	.	PUNCT
iajs-2378	24	1	using	use	VERB
iajs-2378	24	2	these	these	DET
iajs-2378	24	3	techniques	technique	NOUN
iajs-2378	24	4	in	in	ADP
iajs-2378	24	5	scheduling	scheduling	NOUN
iajs-2378	24	6	makes	make	VERB
iajs-2378	24	7	an	an	DET
iajs-2378	24	8	allowance	allowance	NOUN
iajs-2378	24	9	for	for	SCONJ
iajs-2378	24	10	us	we	PRON
iajs-2378	24	11	to	to	PART
iajs-2378	24	12	test	test	VERB
iajs-2378	24	13	problems	problem	NOUN
iajs-2378	24	14	with	with	ADP
iajs-2378	24	15	a	a	DET
iajs-2378	24	16	large	large	ADJ
iajs-2378	24	17	number	number	NOUN
iajs-2378	24	18	of	of	ADP
iajs-2378	24	19	jobs	job	NOUN
iajs-2378	24	20	.	.	PUNCT
iajs-2378	25	1	minimizing	minimize	VERB
iajs-2378	25	2	the	the	DET
iajs-2378	25	3	total	total	ADJ
iajs-2378	25	4	late	late	ADJ
iajs-2378	25	5	work	work	NOUN
iajs-2378	25	6	on	on	ADP
iajs-2378	25	7	a	a	DET
iajs-2378	25	8	single	single	ADJ
iajs-2378	25	9	machine	machine	NOUN
iajs-2378	25	10	was	be	AUX
iajs-2378	25	11	treated	treat	VERB
iajs-2378	25	12	by	by	ADP
iajs-2378	25	13	chinchia	chinchia	PROPN
iajs-2378	25	14	wu	wu	PROPN
iajs-2378	26	1	[	[	X
iajs-2378	26	2	2	2	NUM
iajs-2378	26	3	]	]	PUNCT
iajs-2378	26	4	.	.	PUNCT
iajs-2378	27	1	where	where	SCONJ
iajs-2378	27	2	he	he	PRON
iajs-2378	27	3	proposed	propose	VERB
iajs-2378	27	4	three	three	NUM
iajs-2378	27	5	genetic	genetic	ADJ
iajs-2378	27	6	algorithms	algorithm	NOUN
iajs-2378	27	7	and	and	CCONJ
iajs-2378	27	8	combined	combine	VERB
iajs-2378	27	9	them	they	PRON
iajs-2378	27	10	to	to	PART
iajs-2378	27	11	get	get	VERB
iajs-2378	27	12	the	the	DET
iajs-2378	27	13	fourth	fourth	ADJ
iajs-2378	27	14	one	one	NOUN
iajs-2378	27	15	,	,	PUNCT
iajs-2378	27	16	his	his	PRON
iajs-2378	27	17	computational	computational	ADJ
iajs-2378	27	18	results	result	NOUN
iajs-2378	27	19	showed	show	VERB
iajs-2378	27	20	that	that	SCONJ
iajs-2378	27	21	the	the	DET
iajs-2378	27	22	three	three	NUM
iajs-2378	27	23	(	(	PUNCT
iajs-2378	27	24	ga	ga	NOUN
iajs-2378	27	25	)	)	PUNCT
iajs-2378	27	26	algorithms	algorithm	NOUN
iajs-2378	27	27	were	be	AUX
iajs-2378	27	28	getting	get	VERB
iajs-2378	27	29	the	the	DET
iajs-2378	27	30	stability	stability	NOUN
iajs-2378	27	31	state	state	NOUN
iajs-2378	27	32	when	when	SCONJ
iajs-2378	27	33	n	n	PRON
iajs-2378	27	34	becomes	become	VERB
iajs-2378	27	35	larger	large	ADJ
iajs-2378	27	36	.	.	PUNCT
iajs-2378	28	1	the	the	DET
iajs-2378	28	2	problem	problem	NOUN
iajs-2378	28	3	∑	∑	PUNCT
iajs-2378	28	4	was	be	AUX
iajs-2378	28	5	solved	solve	VERB
iajs-2378	28	6	by	by	ADP
iajs-2378	28	7	tariq	tariq	NOUN
iajs-2378	28	8	and	and	CCONJ
iajs-2378	28	9	doha	doha	PROPN
iajs-2378	28	10	[	[	X
iajs-2378	28	11	3	3	NUM
iajs-2378	28	12	]	]	PUNCT
iajs-2378	28	13	.	.	PUNCT
iajs-2378	29	1	by	by	ADP
iajs-2378	29	2	using	use	VERB
iajs-2378	29	3	simulated	simulated	ADJ
iajs-2378	29	4	annealing	annealing	NOUN
iajs-2378	29	5	(	(	PUNCT
iajs-2378	29	6	sa	sa	NOUN
iajs-2378	29	7	)	)	PUNCT
iajs-2378	29	8	and	and	CCONJ
iajs-2378	29	9	descent	descent	NOUN
iajs-2378	29	10	method	method	NOUN
iajs-2378	29	11	(	(	PUNCT
iajs-2378	29	12	dm	dm	NOUN
iajs-2378	29	13	)	)	PUNCT
iajs-2378	29	14	for	for	ADP
iajs-2378	29	15	(	(	PUNCT
iajs-2378	29	16	75,	75,	NOUN
iajs-2378	29	17	…	…	SYM
iajs-2378	29	18	,30000	,30000	NOUN
iajs-2378	29	19	)	)	PUNCT
iajs-2378	29	20	jobs	job	NOUN
iajs-2378	29	21	,	,	PUNCT
iajs-2378	29	22	and	and	CCONJ
iajs-2378	29	23	they	they	PRON
iajs-2378	29	24	show	show	VERB
iajs-2378	29	25	that	that	SCONJ
iajs-2378	29	26	the	the	DET
iajs-2378	29	27	(	(	PUNCT
iajs-2378	29	28	sa	sa	NOUN
iajs-2378	29	29	)	)	PUNCT
iajs-2378	29	30	gives	give	VERB
iajs-2378	29	31	a	a	DET
iajs-2378	29	32	reasonable	reasonable	ADJ
iajs-2378	29	33	results	result	NOUN
iajs-2378	29	34	for	for	ADP
iajs-2378	29	35	small	small	ADJ
iajs-2378	29	36	n	n	CCONJ
iajs-2378	29	37	,	,	PUNCT
iajs-2378	29	38	and	and	CCONJ
iajs-2378	29	39	the	the	DET
iajs-2378	29	40	times	time	NOUN
iajs-2378	29	41	for	for	ADP
iajs-2378	29	42	both	both	DET
iajs-2378	29	43	(	(	PUNCT
iajs-2378	29	44	dm	dm	NOUN
iajs-2378	29	45	)	)	PUNCT
iajs-2378	29	46	and	and	CCONJ
iajs-2378	29	47	(	(	PUNCT
iajs-2378	29	48	sa	sa	NOUN
iajs-2378	29	49	)	)	PUNCT
iajs-2378	29	50	algorithms	algorithm	NOUN
iajs-2378	29	51	are	be	AUX
iajs-2378	29	52	equal	equal	ADJ
iajs-2378	29	53	.	.	PUNCT
iajs-2378	30	1	tariq	tariq	NOUN
iajs-2378	30	2	and	and	CCONJ
iajs-2378	30	3	faez	faez	NOUN
iajs-2378	30	4	[	[	X
iajs-2378	30	5	4	4	NUM
iajs-2378	30	6	]	]	PUNCT
iajs-2378	30	7	.	.	PUNCT
iajs-2378	31	1	propose	propose	VERB
iajs-2378	31	2	the	the	DET
iajs-2378	31	3	(	(	PUNCT
iajs-2378	31	4	pso	pso	NOUN
iajs-2378	31	5	)	)	PUNCT
iajs-2378	31	6	and	and	CCONJ
iajs-2378	31	7	the	the	DET
iajs-2378	31	8	(	(	PUNCT
iajs-2378	31	9	ga	ga	NOUN
iajs-2378	31	10	)	)	PUNCT
iajs-2378	31	11	as	as	ADP
iajs-2378	31	12	heuristic	heuristic	ADJ
iajs-2378	31	13	methods	method	NOUN
iajs-2378	31	14	to	to	PART
iajs-2378	31	15	find	find	VERB
iajs-2378	31	16	approximation	approximation	NOUN
iajs-2378	31	17	solutions	solution	NOUN
iajs-2378	31	18	for	for	ADP
iajs-2378	31	19	∑	∑	PUNCT
iajs-2378	31	20	∑	∑	PUNCT
iajs-2378	31	21	and	and	CCONJ
iajs-2378	31	22	they	they	PRON
iajs-2378	31	23	found	find	VERB
iajs-2378	31	24	that	that	SCONJ
iajs-2378	31	25	these	these	DET
iajs-2378	31	26	local	local	ADJ
iajs-2378	31	27	search	search	NOUN
iajs-2378	31	28	algorithms	algorithm	NOUN
iajs-2378	31	29	solve	solve	VERB
iajs-2378	31	30	the	the	DET
iajs-2378	31	31	problem	problem	NOUN
iajs-2378	31	32	for	for	ADP
iajs-2378	31	33	jobs	job	NOUN
iajs-2378	31	34	with	with	ADP
iajs-2378	31	35	reasonable	reasonable	ADJ
iajs-2378	31	36	time	time	NOUN
iajs-2378	31	37	.	.	PUNCT
iajs-2378	32	1	the	the	DET
iajs-2378	32	2	(	(	PUNCT
iajs-2378	32	3	pso	pso	NOUN
iajs-2378	32	4	)	)	PUNCT
iajs-2378	32	5	algorithm	algorithm	NOUN
iajs-2378	32	6	were	be	AUX
iajs-2378	32	7	applied	apply	VERB
iajs-2378	32	8	by	by	ADP
iajs-2378	32	9	hanan	hanan	PROPN
iajs-2378	32	10	[	[	X
iajs-2378	32	11	5	5	NUM
iajs-2378	32	12	]	]	PUNCT
iajs-2378	32	13	.	.	PUNCT
iajs-2378	33	1	for	for	ADP
iajs-2378	33	2	solving	solve	VERB
iajs-2378	33	3	the	the	DET
iajs-2378	33	4	problem	problem	NOUN
iajs-2378	33	5	∑	∑	PUNCT
iajs-2378	33	6	where	where	SCONJ
iajs-2378	33	7	she	she	PRON
iajs-2378	33	8	proposed	propose	VERB
iajs-2378	33	9	a	a	DET
iajs-2378	33	10	new	new	ADJ
iajs-2378	33	11	style	style	NOUN
iajs-2378	33	12	of	of	ADP
iajs-2378	33	13	development	development	NOUN
iajs-2378	33	14	steps	step	NOUN
iajs-2378	33	15	to	to	PART
iajs-2378	33	16	achieve	achieve	VERB
iajs-2378	33	17	good	good	ADJ
iajs-2378	33	18	convergence	convergence	NOUN
iajs-2378	33	19	in	in	ADP
iajs-2378	33	20	application	application	NOUN
iajs-2378	33	21	,	,	PUNCT
iajs-2378	33	22	and	and	CCONJ
iajs-2378	33	23	made	make	VERB
iajs-2378	33	24	a	a	DET
iajs-2378	33	25	comparison	comparison	NOUN
iajs-2378	33	26	between	between	ADP
iajs-2378	33	27	(	(	PUNCT
iajs-2378	33	28	pso	pso	NOUN
iajs-2378	33	29	)	)	PUNCT
iajs-2378	33	30	and	and	CCONJ
iajs-2378	33	31	(	(	PUNCT
iajs-2378	33	32	ga	ga	NOUN
iajs-2378	33	33	)	)	PUNCT
iajs-2378	33	34	showed	show	VERB
iajs-2378	33	35	that	that	SCONJ
iajs-2378	33	36	the	the	DET
iajs-2378	33	37	results	result	NOUN
iajs-2378	33	38	of	of	ADP
iajs-2378	33	39	(	(	PUNCT
iajs-2378	33	40	pso	pso	NOUN
iajs-2378	33	41	)	)	PUNCT
iajs-2378	33	42	are	be	AUX
iajs-2378	33	43	better	well	ADJ
iajs-2378	33	44	than	than	ADP
iajs-2378	33	45	(	(	PUNCT
iajs-2378	33	46	ga	ga	NOUN
iajs-2378	33	47	)	)	PUNCT
iajs-2378	33	48	for	for	ADP
iajs-2378	33	49	jobs	job	NOUN
iajs-2378	33	50	.	.	PUNCT
iajs-2378	34	1	tariq	tariq	NOUN
iajs-2378	34	2	,	,	PUNCT
iajs-2378	34	3	and	and	CCONJ
iajs-2378	34	4	hafed	hafe	VERB
iajs-2378	34	5	reach	reach	NOUN
iajs-2378	34	6	jobs	job	NOUN
iajs-2378	34	7	by	by	ADP
iajs-2378	34	8	using	use	VERB
iajs-2378	34	9	three	three	NUM
iajs-2378	34	10	local	local	ADJ
iajs-2378	34	11	search	search	NOUN
iajs-2378	34	12	techniques	technique	NOUN
iajs-2378	34	13	;	;	PUNCT
iajs-2378	34	14	descent	descent	NOUN
iajs-2378	34	15	method	method	NOUN
iajs-2378	34	16	(	(	PUNCT
iajs-2378	34	17	dm	dm	PROPN
iajs-2378	34	18	)	)	PUNCT
iajs-2378	34	19	,	,	PUNCT
iajs-2378	34	20	simulated	simulate	VERB
iajs-2378	34	21	annealing	annealing	NOUN
iajs-2378	34	22	(	(	PUNCT
iajs-2378	34	23	sa	sa	NOUN
iajs-2378	34	24	)	)	PUNCT
iajs-2378	34	25	and	and	CCONJ
iajs-2378	34	26	tabu	tabu	NOUN
iajs-2378	34	27	search	search	NOUN
iajs-2378	34	28	(	(	PUNCT
iajs-2378	34	29	ts	ts	NOUN
iajs-2378	34	30	)	)	PUNCT
iajs-2378	34	31	in	in	ADP
iajs-2378	34	32	solving	solve	VERB
iajs-2378	34	33	the	the	DET
iajs-2378	34	34	problem	problem	NOUN
iajs-2378	34	35	∑	∑	ADP
iajs-2378	34	36	∑	∑	INTJ
iajs-2378	34	37	,	,	PUNCT
iajs-2378	34	38	where	where	SCONJ
iajs-2378	34	39	they	they	PRON
iajs-2378	34	40	showed	show	VERB
iajs-2378	34	41	that	that	SCONJ
iajs-2378	34	42	the	the	DET
iajs-2378	34	43	performance	performance	NOUN
iajs-2378	34	44	of	of	ADP
iajs-2378	34	45	the	the	DET
iajs-2378	34	46	algorithms	algorithms	NOUN
iajs-2378	34	47	is	be	AUX
iajs-2378	34	48	evaluated	evaluate	VERB
iajs-2378	34	49	on	on	ADP
iajs-2378	34	50	a	a	DET
iajs-2378	34	51	large	large	ADJ
iajs-2378	34	52	set	set	NOUN
iajs-2378	34	53	of	of	ADP
iajs-2378	34	54	test	test	NOUN
iajs-2378	34	55	problems	problem	NOUN
iajs-2378	34	56	and	and	CCONJ
iajs-2378	34	57	the	the	DET
iajs-2378	34	58	results	result	NOUN
iajs-2378	34	59	which	which	PRON
iajs-2378	34	60	are	be	AUX
iajs-2378	34	61	compared	compare	VERB
iajs-2378	34	62	showed	show	VERB
iajs-2378	34	63	that	that	SCONJ
iajs-2378	34	64	(	(	PUNCT
iajs-2378	34	65	sa	sa	NOUN
iajs-2378	34	66	)	)	PUNCT
iajs-2378	34	67	and	and	CCONJ
iajs-2378	34	68	(	(	PUNCT
iajs-2378	34	69	ts	ts	NOUN
iajs-2378	34	70	)	)	PUNCT
iajs-2378	34	71	algorithms	algorithm	NOUN
iajs-2378	34	72	are	be	AUX
iajs-2378	34	73	better	well	ADJ
iajs-2378	34	74	than	than	ADP
iajs-2378	34	75	(	(	PUNCT
iajs-2378	34	76	dm	dm	NOUN
iajs-2378	34	77	)	)	PUNCT
iajs-2378	34	78	with	with	ADP
iajs-2378	34	79	preference	preference	NOUN
iajs-2378	34	80	to	to	ADP
iajs-2378	34	81	(	(	PUNCT
iajs-2378	34	82	sa	sa	NOUN
iajs-2378	34	83	)	)	PUNCT
iajs-2378	34	84	algorithm	algorithm	NOUN
iajs-2378	34	85	,	,	PUNCT
iajs-2378	34	86	and	and	CCONJ
iajs-2378	34	87	showed	show	VERB
iajs-2378	34	88	that	that	SCONJ
iajs-2378	34	89	the	the	DET
iajs-2378	34	90	three	three	NUM
iajs-2378	34	91	algorithms	algorithm	NOUN
iajs-2378	34	92	find	find	VERB
iajs-2378	34	93	optimal	optimal	ADJ
iajs-2378	34	94	or	or	CCONJ
iajs-2378	34	95	near	near	ADP
iajs-2378	34	96	optimal	optimal	ADJ
iajs-2378	34	97	solutions	solution	NOUN
iajs-2378	34	98	in	in	ADP
iajs-2378	34	99	a	a	DET
iajs-2378	34	100	reasonable	reasonable	ADJ
iajs-2378	34	101	times	time	NOUN
iajs-2378	35	1	[	[	X
iajs-2378	35	2	6	6	NUM
iajs-2378	35	3	]	]	PUNCT
iajs-2378	35	4	.	.	PUNCT
iajs-2378	36	1	2.problem	2.problem	NUM
iajs-2378	36	2	representation	representation	NOUN
iajs-2378	36	3	a	a	DET
iajs-2378	36	4	multi	multi	ADJ
iajs-2378	36	5	-	-	ADJ
iajs-2378	36	6	objective	objective	ADJ
iajs-2378	36	7	problem	problem	NOUN
iajs-2378	36	8	is	be	AUX
iajs-2378	36	9	considered	consider	VERB
iajs-2378	36	10	,	,	PUNCT
iajs-2378	36	11	and	and	CCONJ
iajs-2378	36	12	the	the	DET
iajs-2378	36	13	formal	formal	ADJ
iajs-2378	36	14	description	description	NOUN
iajs-2378	36	15	of	of	ADP
iajs-2378	36	16	this	this	DET
iajs-2378	36	17	problem	problem	NOUN
iajs-2378	36	18	is	be	AUX
iajs-2378	36	19	set	set	VERB
iajs-2378	36	20	as	as	SCONJ
iajs-2378	36	21	follows	follow	VERB
iajs-2378	36	22	:	:	PUNCT
iajs-2378	36	23	scheduling	scheduling	NOUN
iajs-2378	36	24	jobs	job	NOUN
iajs-2378	36	25	on	on	ADP
iajs-2378	36	26	a	a	DET
iajs-2378	36	27	single	single	ADJ
iajs-2378	36	28	machine	machine	NOUN
iajs-2378	36	29	which	which	PRON
iajs-2378	36	30	is	be	AUX
iajs-2378	36	31	always	always	ADV
iajs-2378	36	32	available	available	ADJ
iajs-2378	36	33	can	can	AUX
iajs-2378	36	34	execute	execute	VERB
iajs-2378	36	35	them	they	PRON
iajs-2378	36	36	,	,	PUNCT
iajs-2378	36	37	where	where	SCONJ
iajs-2378	36	38	each	each	DET
iajs-2378	36	39	one	one	NUM
iajs-2378	36	40	of	of	ADP
iajs-2378	36	41	these	these	DET
iajs-2378	36	42	jobs	job	NOUN
iajs-2378	36	43	can	can	AUX
iajs-2378	36	44	be	be	AUX
iajs-2378	36	45	executed	execute	VERB
iajs-2378	36	46	on	on	ADP
iajs-2378	36	47	that	that	DET
iajs-2378	36	48	machine	machine	NOUN
iajs-2378	36	49	at	at	ADP
iajs-2378	36	50	its	its	PRON
iajs-2378	36	51	special	special	ADJ
iajs-2378	36	52	time	time	NOUN
iajs-2378	36	53	(	(	PUNCT
iajs-2378	36	54	i.e.	i.e.	X
iajs-2378	36	55	only	only	ADV
iajs-2378	36	56	one	one	NUM
iajs-2378	36	57	job	job	NOUN
iajs-2378	36	58	can	can	AUX
iajs-2378	36	59	be	be	AUX
iajs-2378	36	60	executed	execute	VERB
iajs-2378	36	61	at	at	ADP
iajs-2378	36	62	a	a	DET
iajs-2378	36	63	time	time	NOUN
iajs-2378	36	64	)	)	PUNCT
iajs-2378	36	65	,	,	PUNCT
iajs-2378	36	66	and	and	CCONJ
iajs-2378	36	67	the	the	DET
iajs-2378	36	68	machine	machine	NOUN
iajs-2378	36	69	can	can	AUX
iajs-2378	36	70	do	do	VERB
iajs-2378	36	71	only	only	ADV
iajs-2378	36	72	one	one	NUM
iajs-2378	36	73	job	job	NOUN
iajs-2378	36	74	at	at	ADP
iajs-2378	36	75	a	a	DET
iajs-2378	36	76	time	time	NOUN
iajs-2378	36	77	.	.	PUNCT
iajs-2378	37	1	for	for	SCONJ
iajs-2378	37	2	we	we	PRON
iajs-2378	37	3	will	will	AUX
iajs-2378	37	4	denote	denote	VERB
iajs-2378	37	5	and	and	CCONJ
iajs-2378	37	6	as	as	ADP
iajs-2378	37	7	the	the	DET
iajs-2378	37	8	processing	processing	NOUN
iajs-2378	37	9	time	time	NOUN
iajs-2378	37	10	and	and	CCONJ
iajs-2378	37	11	the	the	DET
iajs-2378	37	12	due	due	ADJ
iajs-2378	37	13	date	date	NOUN
iajs-2378	37	14	of	of	ADP
iajs-2378	37	15	the	the	DET
iajs-2378	37	16	job	job	NOUN
iajs-2378	37	17	respectively	respectively	ADV
iajs-2378	37	18	.	.	PUNCT
iajs-2378	38	1	the	the	DET
iajs-2378	38	2	schedule	schedule	NOUN
iajs-2378	38	3	(	(	PUNCT
iajs-2378	38	4	)	)	PUNCT
iajs-2378	38	5	will	will	AUX
iajs-2378	38	6	define	define	VERB
iajs-2378	38	7	a	a	DET
iajs-2378	38	8	completion	completion	NOUN
iajs-2378	38	9	time	time	NOUN
iajs-2378	38	10	∑	∑	PUNCT
iajs-2378	38	11	for	for	ADP
iajs-2378	38	12	every	every	DET
iajs-2378	38	13	job	job	NOUN
iajs-2378	38	14	.	.	PUNCT
iajs-2378	39	1	the	the	DET
iajs-2378	39	2	tardiness	tardiness	NOUN
iajs-2378	39	3	and	and	CCONJ
iajs-2378	39	4	the	the	DET
iajs-2378	39	5	earliness	earliness	NOUN
iajs-2378	39	6	will	will	AUX
iajs-2378	39	7	show	show	VERB
iajs-2378	39	8	up	up	ADP
iajs-2378	39	9	for	for	ADP
iajs-2378	39	10	every	every	DET
iajs-2378	39	11	job	job	NOUN
iajs-2378	39	12	.	.	PUNCT
iajs-2378	40	1	the	the	DET
iajs-2378	40	2	late	late	ADJ
iajs-2378	40	3	work	work	NOUN
iajs-2378	40	4	of	of	ADP
iajs-2378	40	5	job	job	NOUN
iajs-2378	40	6	is	be	AUX
iajs-2378	40	7	the	the	DET
iajs-2378	40	8	amount	amount	NOUN
iajs-2378	40	9	of	of	ADP
iajs-2378	40	10	the	the	DET
iajs-2378	40	11	processing	processing	NOUN
iajs-2378	40	12	time	time	NOUN
iajs-2378	40	13	that	that	PRON
iajs-2378	40	14	is	be	AUX
iajs-2378	40	15	performed	perform	VERB
iajs-2378	40	16	after	after	ADP
iajs-2378	40	17	the	the	DET
iajs-2378	40	18	due	due	ADJ
iajs-2378	40	19	date	date	NOUN
iajs-2378	40	20	,	,	PUNCT
iajs-2378	40	21	where	where	SCONJ
iajs-2378	40	22	if	if	SCONJ
iajs-2378	40	23	(	(	PUNCT
iajs-2378	40	24	,	,	PUNCT
iajs-2378	40	25	if	if	SCONJ
iajs-2378	40	26	(	(	PUNCT
iajs-2378	40	27	and	and	CCONJ
iajs-2378	40	28	if	if	SCONJ
iajs-2378	40	29	(	(	PUNCT
iajs-2378	40	30	[	[	X
iajs-2378	40	31	7	7	NUM
iajs-2378	40	32	]	]	PUNCT
iajs-2378	40	33	.	.	PUNCT
iajs-2378	41	1	every	every	DET
iajs-2378	41	2	job	job	NOUN
iajs-2378	41	3	will	will	AUX
iajs-2378	41	4	be	be	AUX
iajs-2378	41	5	ready	ready	ADJ
iajs-2378	41	6	to	to	PART
iajs-2378	41	7	be	be	AUX
iajs-2378	41	8	processed	process	VERB
iajs-2378	41	9	at	at	ADP
iajs-2378	41	10	time	time	NOUN
iajs-2378	41	11	zero	zero	NUM
iajs-2378	41	12	,	,	PUNCT
iajs-2378	41	13	where	where	SCONJ
iajs-2378	41	14	no	no	DET
iajs-2378	41	15	preemption	preemption	NOUN
iajs-2378	41	16	is	be	AUX
iajs-2378	41	17	allowed	allow	VERB
iajs-2378	41	18	and	and	CCONJ
iajs-2378	41	19	our	our	PRON
iajs-2378	41	20	objective	objective	NOUN
iajs-2378	41	21	is	be	AUX
iajs-2378	41	22	to	to	PART
iajs-2378	41	23	find	find	VERB
iajs-2378	41	24	a	a	DET
iajs-2378	41	25	feasible	feasible	ADJ
iajs-2378	41	26	solution	solution	NOUN
iajs-2378	41	27	that	that	PRON
iajs-2378	41	28	gives	give	VERB
iajs-2378	41	29	the	the	DET
iajs-2378	41	30	minimum	minimum	ADJ
iajs-2378	41	31	value	value	NOUN
iajs-2378	41	32	of	of	ADP
iajs-2378	41	33	the	the	DET
iajs-2378	41	34	multi	multi	ADJ
iajs-2378	41	35	-	-	ADJ
iajs-2378	41	36	objective	objective	ADJ
iajs-2378	41	37	function	function	NOUN
iajs-2378	41	38	∑	∑	PUNCT
iajs-2378	41	39	.	.	PUNCT
iajs-2378	42	1	using	use	VERB
iajs-2378	42	2	the	the	DET
iajs-2378	42	3	standard	standard	ADJ
iajs-2378	42	4	scheduling	scheduling	NOUN
iajs-2378	42	5	problem	problem	NOUN
iajs-2378	42	6	classification	classification	NOUN
iajs-2378	42	7	notation	notation	NOUN
iajs-2378	42	8	,	,	PUNCT
iajs-2378	42	9	our	our	PRON
iajs-2378	42	10	problem	problem	NOUN
iajs-2378	42	11	is	be	AUX
iajs-2378	42	12	denoted	denote	VERB
iajs-2378	42	13	by	by	ADP
iajs-2378	42	14	∑	∑	PUNCT
iajs-2378	42	15	and	and	CCONJ
iajs-2378	42	16	formulated	formulate	VERB
iajs-2378	42	17	as	as	ADP
iajs-2378	42	18	;	;	PUNCT
iajs-2378	42	19	121	121	NUM
iajs-2378	42	20	ibn	ibn	PROPN
iajs-2378	42	21	al	al	PROPN
iajs-2378	42	22	-	-	PUNCT
iajs-2378	42	23	haitham	haitham	PROPN
iajs-2378	42	24	jour	jour	X
iajs-2378	42	25	.	.	PROPN
iajs-2378	43	1	for	for	ADP
iajs-2378	43	2	pure	pure	ADJ
iajs-2378	43	3	&	&	CCONJ
iajs-2378	43	4	appl	appl	PROPN
iajs-2378	43	5	.	.	PUNCT
iajs-2378	44	1	sci	sci	PROPN
iajs-2378	44	2	.	.	PROPN
iajs-2378	45	1	33	33	NUM
iajs-2378	45	2	(	(	PUNCT
iajs-2378	45	3	1	1	NUM
iajs-2378	45	4	)	)	PUNCT
iajs-2378	45	5	2020	2020	NUM
iajs-2378	45	6	∑	∑	PUNCT
iajs-2378	45	7	{	{	PUNCT
iajs-2378	45	8	}	}	PUNCT
iajs-2378	45	9	{	{	PUNCT
iajs-2378	45	10	}	}	PUNCT
iajs-2378	45	11	{	{	PUNCT
iajs-2378	45	12	}	}	PUNCT
iajs-2378	45	13	}	}	PUNCT
iajs-2378	45	14	3	3	X
iajs-2378	45	15	.	.	X
iajs-2378	45	16	heuristics	heuristic	NOUN
iajs-2378	45	17	for	for	ADP
iajs-2378	45	18	the	the	DET
iajs-2378	45	19	problem	problem	NOUN
iajs-2378	45	20	in	in	ADP
iajs-2378	45	21	this	this	DET
iajs-2378	45	22	section	section	NOUN
iajs-2378	45	23	,	,	PUNCT
iajs-2378	45	24	we	we	PRON
iajs-2378	45	25	will	will	AUX
iajs-2378	45	26	mention	mention	VERB
iajs-2378	45	27	the	the	DET
iajs-2378	45	28	heuristics	heuristic	NOUN
iajs-2378	45	29	that	that	PRON
iajs-2378	45	30	are	be	AUX
iajs-2378	45	31	used	use	VERB
iajs-2378	45	32	for	for	ADP
iajs-2378	45	33	the	the	DET
iajs-2378	45	34	problem	problem	NOUN
iajs-2378	45	35	(	(	PUNCT
iajs-2378	45	36	a	a	X
iajs-2378	45	37	)	)	PUNCT
iajs-2378	45	38	where	where	SCONJ
iajs-2378	45	39	there	there	PRON
iajs-2378	45	40	are	be	VERB
iajs-2378	45	41	two	two	NUM
iajs-2378	45	42	simple	simple	ADJ
iajs-2378	45	43	known	know	VERB
iajs-2378	45	44	heuristics	heuristic	NOUN
iajs-2378	45	45	used	use	VERB
iajs-2378	45	46	as	as	ADP
iajs-2378	45	47	an	an	DET
iajs-2378	45	48	initialization	initialization	NOUN
iajs-2378	45	49	for	for	ADP
iajs-2378	45	50	looking	look	VERB
iajs-2378	45	51	at	at	ADP
iajs-2378	45	52	feasibility	feasibility	NOUN
iajs-2378	45	53	of	of	ADP
iajs-2378	45	54	the	the	DET
iajs-2378	45	55	solutions	solution	NOUN
iajs-2378	45	56	in	in	ADP
iajs-2378	45	57	the	the	DET
iajs-2378	45	58	entire	entire	ADJ
iajs-2378	45	59	search	search	NOUN
iajs-2378	45	60	space	space	NOUN
iajs-2378	45	61	.	.	PUNCT
iajs-2378	46	1	3.1	3.1	NUM
iajs-2378	46	2	.	.	PUNCT
iajs-2378	47	1	first	first	PROPN
iajs-2378	47	2	heuristic	heuristic	ADJ
iajs-2378	47	3	(	(	PUNCT
iajs-2378	47	4	h1	h1	PROPN
iajs-2378	47	5	):	):	PUNCT
iajs-2378	47	6	this	this	DET
iajs-2378	47	7	heuristic	heuristic	NOUN
iajs-2378	47	8	is	be	AUX
iajs-2378	47	9	obtained	obtain	VERB
iajs-2378	47	10	by	by	ADP
iajs-2378	47	11	applying	apply	VERB
iajs-2378	47	12	the	the	DET
iajs-2378	47	13	shortest	short	ADJ
iajs-2378	47	14	processing	processing	NOUN
iajs-2378	47	15	time	time	NOUN
iajs-2378	47	16	(	(	PUNCT
iajs-2378	47	17	spt	spt	NOUN
iajs-2378	47	18	)	)	PUNCT
iajs-2378	47	19	rule	rule	NOUN
iajs-2378	47	20	(	(	PUNCT
iajs-2378	47	21	i.e.	i.e.	X
iajs-2378	47	22	sorting	sort	VERB
iajs-2378	47	23	the	the	DET
iajs-2378	47	24	jobs	job	NOUN
iajs-2378	47	25	in	in	ADP
iajs-2378	47	26	order	order	NOUN
iajs-2378	47	27	of	of	ADP
iajs-2378	47	28	)	)	PUNCT
iajs-2378	47	29	.	.	PUNCT
iajs-2378	48	1	3.2	3.2	NUM
iajs-2378	48	2	.	.	PUNCT
iajs-2378	49	1	second	second	ADJ
iajs-2378	49	2	heuristic	heuristic	NOUN
iajs-2378	49	3	(	(	PUNCT
iajs-2378	49	4	h2	h2	NOUN
iajs-2378	49	5	):	):	PUNCT
iajs-2378	49	6	this	this	DET
iajs-2378	49	7	heuristic	heuristic	NOUN
iajs-2378	49	8	is	be	AUX
iajs-2378	49	9	obtained	obtain	VERB
iajs-2378	49	10	by	by	ADP
iajs-2378	49	11	applying	apply	VERB
iajs-2378	49	12	the	the	DET
iajs-2378	49	13	earliest	early	ADJ
iajs-2378	49	14	due	due	ADJ
iajs-2378	49	15	date	date	NOUN
iajs-2378	49	16	(	(	PUNCT
iajs-2378	49	17	edd	edd	PROPN
iajs-2378	49	18	)	)	PUNCT
iajs-2378	49	19	rule	rule	NOUN
iajs-2378	49	20	(	(	PUNCT
iajs-2378	49	21	i.e.	i.e.	X
iajs-2378	49	22	sorting	sort	VERB
iajs-2378	49	23	the	the	DET
iajs-2378	49	24	jobs	job	NOUN
iajs-2378	49	25	in	in	ADP
iajs-2378	49	26	order	order	NOUN
iajs-2378	49	27	of	of	ADP
iajs-2378	49	28	)	)	PUNCT
iajs-2378	49	29	.	.	PUNCT
iajs-2378	50	1	4	4	X
iajs-2378	50	2	.	.	X
iajs-2378	50	3	(	(	PUNCT
iajs-2378	50	4	bab	bab	PROPN
iajs-2378	50	5	)	)	PUNCT
iajs-2378	50	6	method	method	VERB
iajs-2378	50	7	the	the	DET
iajs-2378	50	8	(	(	PUNCT
iajs-2378	50	9	bab	bab	PROPN
iajs-2378	50	10	)	)	PUNCT
iajs-2378	50	11	method	method	NOUN
iajs-2378	50	12	depends	depend	VERB
iajs-2378	50	13	basically	basically	ADV
iajs-2378	50	14	on	on	ADP
iajs-2378	50	15	the	the	DET
iajs-2378	50	16	complete	complete	ADJ
iajs-2378	50	17	enumeration	enumeration	NOUN
iajs-2378	50	18	in	in	ADP
iajs-2378	50	19	the	the	DET
iajs-2378	50	20	search	search	NOUN
iajs-2378	50	21	area	area	NOUN
iajs-2378	50	22	.	.	PUNCT
iajs-2378	51	1	it	it	PRON
iajs-2378	51	2	consists	consist	VERB
iajs-2378	51	3	of	of	ADP
iajs-2378	51	4	two	two	NUM
iajs-2378	51	5	procedures	procedure	NOUN
iajs-2378	51	6	;	;	PUNCT
iajs-2378	51	7	branching	branch	VERB
iajs-2378	51	8	and	and	CCONJ
iajs-2378	51	9	bounding	bound	VERB
iajs-2378	51	10	.	.	PUNCT
iajs-2378	52	1	the	the	DET
iajs-2378	52	2	branching	branch	VERB
iajs-2378	52	3	procedure	procedure	NOUN
iajs-2378	52	4	is	be	AUX
iajs-2378	52	5	the	the	DET
iajs-2378	52	6	dividing	dividing	NOUN
iajs-2378	52	7	of	of	ADP
iajs-2378	52	8	a	a	DET
iajs-2378	52	9	large	large	ADJ
iajs-2378	52	10	problem	problem	NOUN
iajs-2378	52	11	into	into	ADP
iajs-2378	52	12	two	two	NUM
iajs-2378	52	13	or	or	CCONJ
iajs-2378	52	14	more	more	ADJ
iajs-2378	52	15	sub	sub	NOUN
iajs-2378	52	16	-	-	NOUN
iajs-2378	52	17	problems	problem	NOUN
iajs-2378	52	18	,	,	PUNCT
iajs-2378	52	19	while	while	SCONJ
iajs-2378	52	20	the	the	DET
iajs-2378	52	21	bounding	bounding	NOUN
iajs-2378	52	22	calculates	calculate	VERB
iajs-2378	52	23	a	a	DET
iajs-2378	52	24	lower	low	ADJ
iajs-2378	52	25	bound	bind	VERB
iajs-2378	52	26	on	on	ADP
iajs-2378	52	27	the	the	DET
iajs-2378	52	28	optimal	optimal	ADJ
iajs-2378	52	29	solution	solution	NOUN
iajs-2378	52	30	's	's	PART
iajs-2378	52	31	value	value	NOUN
iajs-2378	52	32	for	for	ADP
iajs-2378	52	33	every	every	DET
iajs-2378	52	34	sub	sub	NOUN
iajs-2378	52	35	-	-	NOUN
iajs-2378	52	36	problem	problem	NOUN
iajs-2378	52	37	[	[	X
iajs-2378	52	38	8	8	NUM
iajs-2378	52	39	]	]	PUNCT
iajs-2378	52	40	.	.	PUNCT
iajs-2378	53	1	4.1	4.1	NUM
iajs-2378	53	2	upper	upper	ADJ
iajs-2378	53	3	bounds	bound	NOUN
iajs-2378	53	4	:	:	PUNCT
iajs-2378	53	5	as	as	ADP
iajs-2378	53	6	initialization	initialization	NOUN
iajs-2378	53	7	of	of	ADP
iajs-2378	53	8	searching	search	VERB
iajs-2378	53	9	in	in	ADP
iajs-2378	53	10	the	the	DET
iajs-2378	53	11	search	search	NOUN
iajs-2378	53	12	tree	tree	NOUN
iajs-2378	53	13	by	by	ADP
iajs-2378	53	14	using	use	VERB
iajs-2378	53	15	the	the	DET
iajs-2378	53	16	(	(	PUNCT
iajs-2378	53	17	bab	bab	PROPN
iajs-2378	53	18	)	)	PUNCT
iajs-2378	53	19	method	method	NOUN
iajs-2378	53	20	,	,	PUNCT
iajs-2378	53	21	the	the	DET
iajs-2378	53	22	two	two	NUM
iajs-2378	53	23	heuristics	heuristic	NOUN
iajs-2378	53	24	in	in	ADP
iajs-2378	53	25	(	(	PUNCT
iajs-2378	53	26	3.1	3.1	NUM
iajs-2378	53	27	)	)	PUNCT
iajs-2378	53	28	and	and	CCONJ
iajs-2378	53	29	(	(	PUNCT
iajs-2378	53	30	3.2	3.2	NUM
iajs-2378	53	31	)	)	PUNCT
iajs-2378	53	32	are	be	AUX
iajs-2378	53	33	used	use	VERB
iajs-2378	53	34	to	to	PART
iajs-2378	53	35	play	play	VERB
iajs-2378	53	36	as	as	ADP
iajs-2378	53	37	the	the	DET
iajs-2378	53	38	upper	upper	ADJ
iajs-2378	53	39	bounds	bound	NOUN
iajs-2378	53	40	of	of	ADP
iajs-2378	53	41	our	our	PRON
iajs-2378	53	42	problem	problem	NOUN
iajs-2378	53	43	in	in	ADP
iajs-2378	53	44	this	this	DET
iajs-2378	53	45	paper	paper	NOUN
iajs-2378	53	46	.	.	PUNCT
iajs-2378	54	1	4.2	4.2	NUM
iajs-2378	54	2	.	.	PUNCT
iajs-2378	55	1	lower	lower	ADV
iajs-2378	55	2	bound	bind	VERB
iajs-2378	55	3	:	:	PUNCT
iajs-2378	55	4	for	for	ADP
iajs-2378	55	5	deriving	derive	VERB
iajs-2378	55	6	a	a	DET
iajs-2378	55	7	lower	lower	ADV
iajs-2378	55	8	bound	bind	VERB
iajs-2378	55	9	,	,	PUNCT
iajs-2378	55	10	the	the	DET
iajs-2378	55	11	problem	problem	NOUN
iajs-2378	55	12	can	can	AUX
iajs-2378	55	13	be	be	AUX
iajs-2378	55	14	decomposed	decompose	VERB
iajs-2378	55	15	into	into	ADP
iajs-2378	55	16	two	two	NUM
iajs-2378	55	17	sub	sub	NOUN
iajs-2378	55	18	-	-	NOUN
iajs-2378	55	19	problems	problem	NOUN
iajs-2378	55	20	,	,	PUNCT
iajs-2378	55	21	where	where	SCONJ
iajs-2378	55	22	:	:	PUNCT
iajs-2378	55	23	∑	∑	PROPN
iajs-2378	55	24	(	(	PUNCT
iajs-2378	55	25	)	)	PUNCT
iajs-2378	55	26	{	{	PUNCT
iajs-2378	55	27	}	}	PUNCT
iajs-2378	55	28	{	{	PUNCT
iajs-2378	55	29	}	}	PUNCT
iajs-2378	55	30	}	}	PUNCT
iajs-2378	55	31	for	for	ADP
iajs-2378	55	32	this	this	DET
iajs-2378	55	33	sub	sub	NOUN
iajs-2378	55	34	-	-	NOUN
iajs-2378	55	35	problem	problem	NOUN
iajs-2378	55	36	,	,	PUNCT
iajs-2378	55	37	the	the	DET
iajs-2378	55	38	lower	lower	ADV
iajs-2378	55	39	bound	bind	VERB
iajs-2378	55	40	,	,	PUNCT
iajs-2378	55	41	which	which	PRON
iajs-2378	55	42	was	be	AUX
iajs-2378	55	43	applied	apply	VERB
iajs-2378	55	44	by	by	ADP
iajs-2378	55	45	hussam	hussam	PROPN
iajs-2378	55	46	abid	abid	PROPN
iajs-2378	55	47	ali	ali	PROPN
iajs-2378	56	1	[	[	X
iajs-2378	56	2	9	9	NUM
iajs-2378	56	3	]	]	PUNCT
iajs-2378	56	4	.	.	PUNCT
iajs-2378	57	1	is	be	AUX
iajs-2378	57	2	used	use	VERB
iajs-2378	57	3	to	to	PART
iajs-2378	57	4	obtain	obtain	VERB
iajs-2378	58	1	the	the	DET
iajs-2378	58	2	first	first	ADJ
iajs-2378	58	3	lower	lower	ADV
iajs-2378	58	4	bound	bind	VERB
iajs-2378	58	5	(	(	PUNCT
iajs-2378	58	6	)	)	PUNCT
iajs-2378	58	7	,	,	PUNCT
iajs-2378	58	8	where	where	SCONJ
iajs-2378	58	9	:	:	PUNCT
iajs-2378	58	10	∑	∑	PUNCT
iajs-2378	58	11	(	(	PUNCT
iajs-2378	58	12	)	)	PUNCT
iajs-2378	58	13	{	{	PUNCT
iajs-2378	58	14	∑	∑	PROPN
iajs-2378	58	15	∑	∑	PROPN
iajs-2378	58	16	{	{	PUNCT
iajs-2378	58	17	}	}	PUNCT
iajs-2378	58	18	}	}	PUNCT
iajs-2378	58	19	(	(	PUNCT
iajs-2378	58	20	1	1	X
iajs-2378	58	21	)	)	PUNCT
iajs-2378	58	22	122	122	NUM
iajs-2378	58	23	ibn	ibn	PROPN
iajs-2378	58	24	al	al	PROPN
iajs-2378	58	25	-	-	PUNCT
iajs-2378	58	26	haitham	haitham	PROPN
iajs-2378	58	27	jour	jour	X
iajs-2378	58	28	.	.	PROPN
iajs-2378	59	1	for	for	ADP
iajs-2378	59	2	pure	pure	ADJ
iajs-2378	59	3	&	&	CCONJ
iajs-2378	59	4	appl	appl	PROPN
iajs-2378	59	5	.	.	PUNCT
iajs-2378	60	1	sci	sci	PROPN
iajs-2378	60	2	.	.	PROPN
iajs-2378	61	1	33	33	NUM
iajs-2378	61	2	(	(	PUNCT
iajs-2378	61	3	1	1	NUM
iajs-2378	61	4	)	)	PUNCT
iajs-2378	61	5	2020	2020	NUM
iajs-2378	61	6	∑	∑	PUNCT
iajs-2378	61	7	{	{	PUNCT
iajs-2378	61	8	}	}	PUNCT
iajs-2378	61	9	{	{	PUNCT
iajs-2378	61	10	}	}	PUNCT
iajs-2378	61	11	}	}	PUNCT
iajs-2378	61	12	here	here	ADV
iajs-2378	61	13	,	,	PUNCT
iajs-2378	61	14	the	the	DET
iajs-2378	61	15	lower	lower	ADV
iajs-2378	61	16	bound	bind	VERB
iajs-2378	61	17	in	in	ADP
iajs-2378	61	18	the	the	DET
iajs-2378	61	19	theorem	theorem	NOUN
iajs-2378	61	20	(	(	PUNCT
iajs-2378	61	21	4.1	4.1	NUM
iajs-2378	61	22	)	)	PUNCT
iajs-2378	61	23	below	below	ADV
iajs-2378	61	24	is	be	AUX
iajs-2378	61	25	used	use	VERB
iajs-2378	61	26	for	for	ADP
iajs-2378	61	27	to	to	PART
iajs-2378	61	28	get	get	VERB
iajs-2378	61	29	the	the	DET
iajs-2378	61	30	second	second	ADV
iajs-2378	61	31	lower	lower	ADV
iajs-2378	61	32	bound	bind	VERB
iajs-2378	61	33	(	(	PUNCT
iajs-2378	61	34	)	)	PUNCT
iajs-2378	61	35	.	.	PUNCT
iajs-2378	62	1	theorem	theorem	VERB
iajs-2378	62	2	1[7	1[7	NUM
iajs-2378	62	3	]	]	PUNCT
iajs-2378	62	4	.	.	PUNCT
iajs-2378	63	1	if	if	SCONJ
iajs-2378	63	2	{	{	PUNCT
iajs-2378	63	3	}	}	PUNCT
iajs-2378	63	4	and	and	CCONJ
iajs-2378	63	5	{	{	PUNCT
iajs-2378	63	6	}	}	PUNCT
iajs-2378	63	7	where	where	SCONJ
iajs-2378	63	8	,	,	PUNCT
iajs-2378	63	9	then	then	ADV
iajs-2378	63	10	we	we	PRON
iajs-2378	63	11	have	have	VERB
iajs-2378	63	12	that	that	PRON
iajs-2378	63	13	;	;	PUNCT
iajs-2378	63	14	∑	∑	PUNCT
iajs-2378	63	15	.	.	PUNCT
iajs-2378	64	1	now	now	ADV
iajs-2378	64	2	,	,	PUNCT
iajs-2378	64	3	the	the	DET
iajs-2378	64	4	following	follow	VERB
iajs-2378	64	5	lemma	lemma	PROPN
iajs-2378	64	6	allows	allow	VERB
iajs-2378	64	7	us	we	PRON
iajs-2378	64	8	to	to	PART
iajs-2378	64	9	use	use	VERB
iajs-2378	64	10	as	as	ADP
iajs-2378	64	11	the	the	DET
iajs-2378	64	12	lower	lower	ADV
iajs-2378	64	13	bound	bind	VERB
iajs-2378	64	14	for	for	ADP
iajs-2378	64	15	the	the	DET
iajs-2378	64	16	problem	problem	NOUN
iajs-2378	64	17	(	(	PUNCT
iajs-2378	64	18	)	)	PUNCT
iajs-2378	64	19	.	.	PUNCT
iajs-2378	65	1	lemma	lemma	PROPN
iajs-2378	65	2	1	1	NUM
iajs-2378	66	1	[	[	X
iajs-2378	66	2	10	10	NUM
iajs-2378	66	3	]	]	PUNCT
iajs-2378	66	4	.	.	PUNCT
iajs-2378	67	1	if	if	SCONJ
iajs-2378	67	2	and	and	CCONJ
iajs-2378	67	3	are	be	AUX
iajs-2378	67	4	the	the	DET
iajs-2378	67	5	lower	low	ADJ
iajs-2378	67	6	bounds	bound	NOUN
iajs-2378	67	7	of	of	ADP
iajs-2378	67	8	the	the	DET
iajs-2378	67	9	problems	problem	NOUN
iajs-2378	67	10	(	(	PUNCT
iajs-2378	67	11	respectively	respectively	ADV
iajs-2378	67	12	,	,	PUNCT
iajs-2378	67	13	then	then	ADV
iajs-2378	67	14	,	,	PUNCT
iajs-2378	67	15	is	be	AUX
iajs-2378	67	16	the	the	DET
iajs-2378	67	17	lower	low	ADJ
iajs-2378	67	18	bound	bind	VERB
iajs-2378	67	19	of	of	ADP
iajs-2378	67	20	the	the	DET
iajs-2378	67	21	main	main	ADJ
iajs-2378	67	22	problem	problem	NOUN
iajs-2378	67	23	.	.	PUNCT
iajs-2378	68	1	4.2.1	4.2.1	X
iajs-2378	68	2	.	.	PUNCT
iajs-2378	69	1	(	(	PUNCT
iajs-2378	69	2	lb	lb	NOUN
iajs-2378	69	3	)	)	PUNCT
iajs-2378	69	4	procedure	procedure	NOUN
iajs-2378	69	5	for	for	ADP
iajs-2378	69	6	where	where	SCONJ
iajs-2378	69	7	represents	represent	VERB
iajs-2378	69	8	the	the	DET
iajs-2378	69	9	set	set	NOUN
iajs-2378	69	10	of	of	ADP
iajs-2378	69	11	all	all	DET
iajs-2378	69	12	jobs	job	NOUN
iajs-2378	69	13	,	,	PUNCT
iajs-2378	69	14	is	be	AUX
iajs-2378	69	15	equal	equal	ADJ
iajs-2378	69	16	to	to	ADP
iajs-2378	69	17	the	the	DET
iajs-2378	69	18	set	set	NOUN
iajs-2378	69	19	of	of	ADP
iajs-2378	69	20	the	the	DET
iajs-2378	69	21	scheduled	schedule	VERB
iajs-2378	69	22	jobs	job	NOUN
iajs-2378	69	23	and	and	CCONJ
iajs-2378	69	24	is	be	AUX
iajs-2378	69	25	the	the	DET
iajs-2378	69	26	set	set	NOUN
iajs-2378	69	27	of	of	ADP
iajs-2378	69	28	the	the	DET
iajs-2378	69	29	un	un	ADJ
iajs-2378	69	30	-	-	ADJ
iajs-2378	69	31	scheduled	schedule	VERB
iajs-2378	69	32	jobs	job	NOUN
iajs-2378	69	33	,	,	PUNCT
iajs-2378	69	34	then	then	ADV
iajs-2378	69	35	the	the	DET
iajs-2378	69	36	procedure	procedure	NOUN
iajs-2378	69	37	is	be	AUX
iajs-2378	69	38	:	:	PUNCT
iajs-2378	69	39	1.starting	1.starting	NUM
iajs-2378	69	40	with	with	ADP
iajs-2378	69	41	empty	empty	ADJ
iajs-2378	69	42	set	set	NOUN
iajs-2378	69	43	of	of	ADP
iajs-2378	69	44	the	the	DET
iajs-2378	69	45	scheduled	schedule	VERB
iajs-2378	69	46	jobs	job	NOUN
iajs-2378	69	47	(	(	PUNCT
iajs-2378	69	48	i.e.	i.e.	X
iajs-2378	69	49	)	)	PUNCT
iajs-2378	69	50	,	,	PUNCT
iajs-2378	69	51	and	and	CCONJ
iajs-2378	69	52	begin	begin	VERB
iajs-2378	69	53	to	to	PART
iajs-2378	69	54	sort	sort	VERB
iajs-2378	69	55	the	the	DET
iajs-2378	69	56	jobs	job	NOUN
iajs-2378	69	57	(	(	PUNCT
iajs-2378	69	58	one	one	NUM
iajs-2378	69	59	by	by	ADP
iajs-2378	69	60	one	one	NUM
iajs-2378	69	61	)	)	PUNCT
iajs-2378	69	62	until	until	SCONJ
iajs-2378	69	63	we	we	PRON
iajs-2378	69	64	have	have	VERB
iajs-2378	69	65	|s|	|s|	NOUN
iajs-2378	69	66	,	,	PUNCT
iajs-2378	69	67	and	and	CCONJ
iajs-2378	69	68	the	the	DET
iajs-2378	69	69	job	job	NOUN
iajs-2378	69	70	will	will	AUX
iajs-2378	69	71	be	be	AUX
iajs-2378	69	72	add	add	VERB
iajs-2378	69	73	to	to	ADP
iajs-2378	69	74	the	the	DET
iajs-2378	69	75	set	set	NOUN
iajs-2378	69	76	then	then	ADV
iajs-2378	69	77	we	we	PRON
iajs-2378	69	78	solve	solve	VERB
iajs-2378	69	79	the	the	DET
iajs-2378	69	80	last	last	ADJ
iajs-2378	69	81	sequence	sequence	NOUN
iajs-2378	69	82	by	by	ADP
iajs-2378	69	83	the	the	DET
iajs-2378	69	84	complete	complete	ADJ
iajs-2378	69	85	enumerate	enumerate	NOUN
iajs-2378	69	86	method	method	NOUN
iajs-2378	69	87	(	(	PUNCT
iajs-2378	69	88	cem	cem	NOUN
iajs-2378	69	89	)	)	PUNCT
iajs-2378	69	90	.	.	PUNCT
iajs-2378	70	1	at	at	ADP
iajs-2378	70	2	every	every	DET
iajs-2378	70	3	step	step	NOUN
iajs-2378	70	4	we	we	PRON
iajs-2378	70	5	calculate	calculate	VERB
iajs-2378	70	6	the	the	DET
iajs-2378	70	7	cost	cost	NOUN
iajs-2378	70	8	∑	∑	PUNCT
iajs-2378	70	9	(	(	PUNCT
iajs-2378	70	10	)	)	PUNCT
iajs-2378	70	11	.	.	PUNCT
iajs-2378	71	1	2	2	X
iajs-2378	71	2	.	.	X
iajs-2378	71	3	for	for	ADP
iajs-2378	71	4	the	the	DET
iajs-2378	71	5	set	set	NOUN
iajs-2378	71	6	,	,	PUNCT
iajs-2378	71	7	the	the	DET
iajs-2378	71	8	jobs	job	NOUN
iajs-2378	71	9	have	have	AUX
iajs-2378	71	10	been	be	AUX
iajs-2378	71	11	sorted	sort	VERB
iajs-2378	71	12	in	in	ADP
iajs-2378	71	13	two	two	NUM
iajs-2378	71	14	rules	rule	NOUN
iajs-2378	71	15	for	for	ADP
iajs-2378	71	16	calculating	calculate	VERB
iajs-2378	71	17	the	the	DET
iajs-2378	71	18	costs	cost	NOUN
iajs-2378	71	19	for	for	ADP
iajs-2378	71	20	the	the	DET
iajs-2378	71	21	two	two	NUM
iajs-2378	71	22	subproblems	subproblem	NOUN
iajs-2378	71	23	by	by	ADP
iajs-2378	71	24	doing	do	VERB
iajs-2378	71	25	the	the	DET
iajs-2378	71	26	following	follow	VERB
iajs-2378	71	27	steps	step	NOUN
iajs-2378	71	28	;	;	PUNCT
iajs-2378	71	29	step	step	NOUN
iajs-2378	71	30	(	(	PUNCT
iajs-2378	71	31	1	1	NUM
iajs-2378	71	32	):	):	PUNCT
iajs-2378	71	33	sorting	sort	VERB
iajs-2378	71	34	the	the	DET
iajs-2378	71	35	jobs	job	NOUN
iajs-2378	71	36	in	in	ADP
iajs-2378	71	37	the	the	DET
iajs-2378	71	38	set	set	NOUN
iajs-2378	71	39	by	by	ADP
iajs-2378	71	40	(	(	PUNCT
iajs-2378	71	41	spt	spt	PROPN
iajs-2378	71	42	)	)	PUNCT
iajs-2378	71	43	rule	rule	NOUN
iajs-2378	71	44	,	,	PUNCT
iajs-2378	71	45	and	and	CCONJ
iajs-2378	71	46	then	then	ADV
iajs-2378	71	47	calculate	calculate	VERB
iajs-2378	71	48	∑	∑	VERB
iajs-2378	71	49	by	by	ADP
iajs-2378	71	50	using	use	VERB
iajs-2378	71	51	equation	equation	NOUN
iajs-2378	71	52	(	(	PUNCT
iajs-2378	71	53	1	1	NUM
iajs-2378	71	54	)	)	PUNCT
iajs-2378	71	55	.	.	PUNCT
iajs-2378	72	1	step	step	NOUN
iajs-2378	72	2	(	(	PUNCT
iajs-2378	72	3	2	2	NUM
iajs-2378	72	4	):	):	PUNCT
iajs-2378	72	5	re	re	VERB
iajs-2378	72	6	-	-	VERB
iajs-2378	72	7	sorting	sort	VERB
iajs-2378	72	8	the	the	DET
iajs-2378	72	9	jobs	job	NOUN
iajs-2378	72	10	in	in	ADP
iajs-2378	72	11	the	the	DET
iajs-2378	72	12	set	set	NOUN
iajs-2378	72	13	by	by	ADP
iajs-2378	72	14	(	(	PUNCT
iajs-2378	72	15	edd	edd	PROPN
iajs-2378	72	16	)	)	PUNCT
iajs-2378	72	17	rule	rule	NOUN
iajs-2378	72	18	,	,	PUNCT
iajs-2378	72	19	and	and	CCONJ
iajs-2378	72	20	calculate	calculate	NOUN
iajs-2378	72	21	(	(	PUNCT
iajs-2378	72	22	∑	∑	PROPN
iajs-2378	72	23	)	)	PUNCT
iajs-2378	72	24	by	by	ADP
iajs-2378	72	25	using	use	VERB
iajs-2378	72	26	theorem	theorem	NOUN
iajs-2378	72	27	(	(	PUNCT
iajs-2378	72	28	4.1	4.1	NUM
iajs-2378	72	29	)	)	PUNCT
iajs-2378	72	30	.	.	PUNCT
iajs-2378	73	1	step	step	NOUN
iajs-2378	73	2	(	(	PUNCT
iajs-2378	73	3	3	3	NUM
iajs-2378	73	4	):	):	PUNCT
iajs-2378	73	5	calculate	calculate	VERB
iajs-2378	73	6	the	the	DET
iajs-2378	73	7	total	total	ADJ
iajs-2378	73	8	cost	cost	NOUN
iajs-2378	73	9	∑	∑	PUNCT
iajs-2378	73	10	as	as	SCONJ
iajs-2378	73	11	follows	follow	VERB
iajs-2378	73	12	:	:	PUNCT
iajs-2378	73	13	total	total	ADJ
iajs-2378	73	14	cost	cost	NOUN
iajs-2378	73	15	∑	∑	PUNCT
iajs-2378	73	16	∑	∑	PROPN
iajs-2378	73	17	∑	∑	PROPN
iajs-2378	73	18	(	(	PUNCT
iajs-2378	73	19	2	2	NUM
iajs-2378	73	20	)	)	PUNCT
iajs-2378	73	21	5	5	NUM
iajs-2378	73	22	.	.	PUNCT
iajs-2378	73	23	local	local	ADJ
iajs-2378	73	24	search	search	NOUN
iajs-2378	73	25	methods	method	NOUN
iajs-2378	73	26	in	in	ADP
iajs-2378	73	27	a	a	DET
iajs-2378	73	28	matter	matter	NOUN
iajs-2378	73	29	of	of	ADP
iajs-2378	73	30	using	use	VERB
iajs-2378	73	31	the	the	DET
iajs-2378	73	32	local	local	ADJ
iajs-2378	73	33	search	search	NOUN
iajs-2378	73	34	methods	method	NOUN
iajs-2378	73	35	,	,	PUNCT
iajs-2378	73	36	there	there	PRON
iajs-2378	73	37	is	be	VERB
iajs-2378	73	38	no	no	DET
iajs-2378	73	39	guarantee	guarantee	NOUN
iajs-2378	73	40	of	of	ADP
iajs-2378	73	41	obtaining	obtain	VERB
iajs-2378	73	42	optimality	optimality	NOUN
iajs-2378	73	43	,	,	PUNCT
iajs-2378	73	44	but	but	CCONJ
iajs-2378	73	45	using	use	VERB
iajs-2378	73	46	them	they	PRON
iajs-2378	73	47	may	may	AUX
iajs-2378	73	48	give	give	VERB
iajs-2378	73	49	us	we	PRON
iajs-2378	73	50	solutions	solution	NOUN
iajs-2378	73	51	that	that	PRON
iajs-2378	73	52	are	be	AUX
iajs-2378	73	53	near	near	ADP
iajs-2378	73	54	the	the	DET
iajs-2378	73	55	optimal	optimal	ADJ
iajs-2378	73	56	.	.	PUNCT
iajs-2378	74	1	therefore	therefore	ADV
iajs-2378	74	2	,	,	PUNCT
iajs-2378	74	3	the	the	DET
iajs-2378	74	4	local	local	ADJ
iajs-2378	74	5	search	search	NOUN
iajs-2378	74	6	methods	method	NOUN
iajs-2378	74	7	considered	consider	VERB
iajs-2378	74	8	as	as	ADP
iajs-2378	74	9	the	the	DET
iajs-2378	74	10	second	second	ADJ
iajs-2378	74	11	choice	choice	NOUN
iajs-2378	74	12	of	of	ADP
iajs-2378	74	13	solving	solve	VERB
iajs-2378	74	14	the	the	DET
iajs-2378	74	15	np	np	NOUN
iajs-2378	74	16	-	-	PUNCT
iajs-2378	74	17	hard	hard	ADJ
iajs-2378	74	18	problems	problem	NOUN
iajs-2378	74	19	.	.	PUNCT
iajs-2378	75	1	in	in	ADP
iajs-2378	75	2	this	this	DET
iajs-2378	75	3	paper	paper	NOUN
iajs-2378	75	4	,	,	PUNCT
iajs-2378	75	5	two	two	NUM
iajs-2378	75	6	of	of	ADP
iajs-2378	75	7	these	these	DET
iajs-2378	75	8	methods	method	NOUN
iajs-2378	75	9	are	be	AUX
iajs-2378	75	10	applied	apply	VERB
iajs-2378	75	11	the	the	DET
iajs-2378	75	12	genetic	genetic	ADJ
iajs-2378	75	13	algorithm	algorithm	NOUN
iajs-2378	75	14	(	(	PUNCT
iajs-2378	75	15	ga	ga	NOUN
iajs-2378	75	16	)	)	PUNCT
iajs-2378	75	17	and	and	CCONJ
iajs-2378	75	18	the	the	DET
iajs-2378	75	19	particle	particle	NOUN
iajs-2378	75	20	swarm	swarm	NOUN
iajs-2378	75	21	optimization	optimization	NOUN
iajs-2378	75	22	(	(	PUNCT
iajs-2378	75	23	pso	pso	NOUN
iajs-2378	75	24	)	)	PUNCT
iajs-2378	75	25	.	.	PUNCT
iajs-2378	76	1	5.1	5.1	NUM
iajs-2378	76	2	.	.	PUNCT
iajs-2378	77	1	genetic	genetic	ADJ
iajs-2378	77	2	algorithm	algorithm	NOUN
iajs-2378	77	3	(	(	PUNCT
iajs-2378	77	4	ga	ga	PROPN
iajs-2378	77	5	):	):	PUNCT
iajs-2378	77	6	the	the	DET
iajs-2378	77	7	genetic	genetic	ADJ
iajs-2378	77	8	algorithm	algorithm	NOUN
iajs-2378	77	9	(	(	PUNCT
iajs-2378	77	10	ga	ga	NOUN
iajs-2378	77	11	)	)	PUNCT
iajs-2378	77	12	is	be	AUX
iajs-2378	77	13	an	an	DET
iajs-2378	77	14	evolutionary	evolutionary	ADJ
iajs-2378	77	15	search	search	NOUN
iajs-2378	77	16	technique	technique	NOUN
iajs-2378	77	17	used	use	VERB
iajs-2378	77	18	for	for	ADP
iajs-2378	77	19	the	the	DET
iajs-2378	77	20	scheduling	scheduling	NOUN
iajs-2378	77	21	problems	problem	NOUN
iajs-2378	77	22	to	to	PART
iajs-2378	77	23	obtain	obtain	VERB
iajs-2378	77	24	a	a	DET
iajs-2378	77	25	near	near	ADJ
iajs-2378	77	26	optimal	optimal	ADJ
iajs-2378	77	27	solution	solution	NOUN
iajs-2378	77	28	for	for	ADP
iajs-2378	77	29	complex	complex	ADJ
iajs-2378	77	30	problems	problem	NOUN
iajs-2378	77	31	[	[	X
iajs-2378	77	32	11	11	NUM
iajs-2378	77	33	]	]	PUNCT
iajs-2378	77	34	.	.	PUNCT
iajs-2378	78	1	it	it	PRON
iajs-2378	78	2	begins	begin	VERB
iajs-2378	78	3	with	with	ADP
iajs-2378	78	4	a	a	DET
iajs-2378	78	5	randomly	randomly	NOUN
iajs-2378	78	6	123	123	NUM
iajs-2378	78	7	ibn	ibn	PROPN
iajs-2378	78	8	al	al	PROPN
iajs-2378	78	9	-	-	PUNCT
iajs-2378	78	10	haitham	haitham	PROPN
iajs-2378	78	11	jour	jour	X
iajs-2378	78	12	.	.	PROPN
iajs-2378	79	1	for	for	ADP
iajs-2378	79	2	pure	pure	ADJ
iajs-2378	79	3	&	&	CCONJ
iajs-2378	79	4	appl	appl	PROPN
iajs-2378	79	5	.	.	PUNCT
iajs-2378	80	1	sci	sci	PROPN
iajs-2378	80	2	.	.	PROPN
iajs-2378	81	1	33	33	NUM
iajs-2378	81	2	(	(	PUNCT
iajs-2378	81	3	1	1	NUM
iajs-2378	81	4	)	)	PUNCT
iajs-2378	81	5	2020	2020	NUM
iajs-2378	81	6	generated	generate	VERB
iajs-2378	81	7	population	population	NOUN
iajs-2378	81	8	of	of	ADP
iajs-2378	81	9	chromosomes	chromosome	NOUN
iajs-2378	81	10	(	(	PUNCT
iajs-2378	81	11	feasible	feasible	ADJ
iajs-2378	81	12	solutions	solution	NOUN
iajs-2378	81	13	)	)	PUNCT
iajs-2378	81	14	and	and	CCONJ
iajs-2378	81	15	replaces	replace	VERB
iajs-2378	81	16	(	(	PUNCT
iajs-2378	81	17	iteratively	iteratively	ADV
iajs-2378	81	18	)	)	PUNCT
iajs-2378	81	19	this	this	DET
iajs-2378	81	20	population	population	NOUN
iajs-2378	81	21	with	with	ADP
iajs-2378	81	22	a	a	DET
iajs-2378	81	23	new	new	ADJ
iajs-2378	81	24	one	one	NUM
iajs-2378	81	25	.	.	PUNCT
iajs-2378	82	1	the	the	DET
iajs-2378	82	2	(	(	PUNCT
iajs-2378	82	3	ga	ga	NOUN
iajs-2378	82	4	)	)	PUNCT
iajs-2378	82	5	requires	require	VERB
iajs-2378	82	6	for	for	ADP
iajs-2378	82	7	the	the	DET
iajs-2378	82	8	problem	problem	NOUN
iajs-2378	82	9	a	a	DET
iajs-2378	82	10	good	good	ADJ
iajs-2378	82	11	representation	representation	NOUN
iajs-2378	82	12	,	,	PUNCT
iajs-2378	82	13	and	and	CCONJ
iajs-2378	82	14	a	a	DET
iajs-2378	82	15	fitness	fitness	NOUN
iajs-2378	82	16	function	function	NOUN
iajs-2378	82	17	that	that	PRON
iajs-2378	82	18	measures	measure	VERB
iajs-2378	82	19	the	the	DET
iajs-2378	82	20	chromosome	chromosome	NOUN
iajs-2378	82	21	's	's	PART
iajs-2378	82	22	quality	quality	NOUN
iajs-2378	82	23	.	.	PUNCT
iajs-2378	83	1	regeneration	regeneration	NOUN
iajs-2378	83	2	technique	technique	NOUN
iajs-2378	83	3	depends	depend	VERB
iajs-2378	83	4	on	on	ADP
iajs-2378	83	5	selection	selection	NOUN
iajs-2378	83	6	of	of	ADP
iajs-2378	83	7	ancestors	ancestor	NOUN
iajs-2378	83	8	(	(	PUNCT
iajs-2378	83	9	parents	parent	NOUN
iajs-2378	83	10	)	)	PUNCT
iajs-2378	83	11	and	and	CCONJ
iajs-2378	83	12	reunites	reunite	VERB
iajs-2378	83	13	them	they	PRON
iajs-2378	83	14	by	by	ADP
iajs-2378	83	15	using	use	VERB
iajs-2378	83	16	the	the	DET
iajs-2378	83	17	crossover	crossover	NOUN
iajs-2378	83	18	to	to	PART
iajs-2378	83	19	get	get	VERB
iajs-2378	83	20	successor	successor	NOUN
iajs-2378	83	21	(	(	PUNCT
iajs-2378	83	22	children	child	NOUN
iajs-2378	83	23	)	)	PUNCT
iajs-2378	83	24	,	,	PUNCT
iajs-2378	83	25	then	then	ADV
iajs-2378	83	26	applying	apply	VERB
iajs-2378	83	27	the	the	DET
iajs-2378	83	28	mutation	mutation	NOUN
iajs-2378	83	29	to	to	PART
iajs-2378	83	30	change	change	VERB
iajs-2378	83	31	them	they	PRON
iajs-2378	83	32	(	(	PUNCT
iajs-2378	83	33	locally	locally	ADV
iajs-2378	83	34	)	)	PUNCT
iajs-2378	83	35	for	for	ADP
iajs-2378	83	36	obtaining	obtain	VERB
iajs-2378	83	37	better	well	ADJ
iajs-2378	83	38	results	result	NOUN
iajs-2378	83	39	[	[	X
iajs-2378	83	40	12	12	NUM
iajs-2378	83	41	]	]	PUNCT
iajs-2378	83	42	.	.	PUNCT
iajs-2378	84	1	5.1.1	5.1.1	X
iajs-2378	84	2	.	.	PUNCT
iajs-2378	84	3	(	(	PUNCT
iajs-2378	84	4	ga	ga	NOUN
iajs-2378	84	5	)	)	PUNCT
iajs-2378	84	6	operators	operator	NOUN
iajs-2378	84	7	the	the	DET
iajs-2378	84	8	(	(	PUNCT
iajs-2378	84	9	ga	ga	NOUN
iajs-2378	84	10	)	)	PUNCT
iajs-2378	84	11	has	have	VERB
iajs-2378	84	12	a	a	DET
iajs-2378	84	13	number	number	NOUN
iajs-2378	84	14	of	of	ADP
iajs-2378	84	15	operators	operator	NOUN
iajs-2378	84	16	:	:	PUNCT
iajs-2378	85	1	1	1	X
iajs-2378	85	2	.	.	X
iajs-2378	85	3	representation	representation	NOUN
iajs-2378	85	4	:	:	PUNCT
iajs-2378	85	5	in	in	ADP
iajs-2378	85	6	this	this	DET
iajs-2378	85	7	paper	paper	NOUN
iajs-2378	85	8	,	,	PUNCT
iajs-2378	85	9	a	a	DET
iajs-2378	85	10	chromosome	chromosome	NOUN
iajs-2378	85	11	is	be	AUX
iajs-2378	85	12	represented	represent	VERB
iajs-2378	85	13	by	by	ADP
iajs-2378	85	14	a	a	DET
iajs-2378	85	15	sequence	sequence	NOUN
iajs-2378	85	16	of	of	ADP
iajs-2378	85	17	jobs	job	NOUN
iajs-2378	85	18	where	where	SCONJ
iajs-2378	85	19	every	every	DET
iajs-2378	85	20	gene	gene	NOUN
iajs-2378	85	21	refers	refer	VERB
iajs-2378	85	22	to	to	ADP
iajs-2378	85	23	a	a	DET
iajs-2378	85	24	job	job	NOUN
iajs-2378	85	25	[	[	X
iajs-2378	85	26	13	13	NUM
iajs-2378	85	27	]	]	SYM
iajs-2378	85	28	.	.	PUNCT
iajs-2378	86	1	2	2	X
iajs-2378	86	2	.	.	X
iajs-2378	86	3	initialization	initialization	NOUN
iajs-2378	86	4	:	:	PUNCT
iajs-2378	86	5	the	the	DET
iajs-2378	86	6	initial	initial	ADJ
iajs-2378	86	7	population	population	NOUN
iajs-2378	86	8	can	can	AUX
iajs-2378	86	9	be	be	AUX
iajs-2378	86	10	obtained	obtain	VERB
iajs-2378	86	11	by	by	ADP
iajs-2378	86	12	either	either	CCONJ
iajs-2378	86	13	introducing	introduce	VERB
iajs-2378	86	14	heuristics	heuristic	NOUN
iajs-2378	86	15	or	or	CCONJ
iajs-2378	86	16	random	random	ADJ
iajs-2378	86	17	arranging	arrange	VERB
iajs-2378	86	18	[	[	X
iajs-2378	86	19	13	13	NUM
iajs-2378	86	20	]	]	PUNCT
iajs-2378	86	21	.	.	PUNCT
iajs-2378	87	1	in	in	ADP
iajs-2378	87	2	our	our	PRON
iajs-2378	87	3	paper	paper	NOUN
iajs-2378	87	4	,	,	PUNCT
iajs-2378	87	5	we	we	PRON
iajs-2378	87	6	choose	choose	VERB
iajs-2378	87	7	the	the	DET
iajs-2378	87	8	first	first	ADJ
iajs-2378	87	9	way	way	NOUN
iajs-2378	87	10	(	(	PUNCT
iajs-2378	87	11	i.e.	i.e.	X
iajs-2378	87	12	introducing	introduce	VERB
iajs-2378	87	13	heuristics	heuristic	NOUN
iajs-2378	87	14	)	)	PUNCT
iajs-2378	87	15	,	,	PUNCT
iajs-2378	87	16	and	and	CCONJ
iajs-2378	87	17	we	we	PRON
iajs-2378	87	18	take	take	VERB
iajs-2378	87	19	50	50	NUM
iajs-2378	87	20	chromosomes	chromosome	NOUN
iajs-2378	87	21	as	as	ADP
iajs-2378	87	22	the	the	DET
iajs-2378	87	23	size	size	NOUN
iajs-2378	87	24	of	of	ADP
iajs-2378	87	25	our	our	PRON
iajs-2378	87	26	initial	initial	ADJ
iajs-2378	87	27	population	population	NOUN
iajs-2378	87	28	as	as	SCONJ
iajs-2378	87	29	follows	follow	VERB
iajs-2378	87	30	:	:	PUNCT
iajs-2378	87	31	create	create	VERB
iajs-2378	87	32	an	an	DET
iajs-2378	87	33	initial	initial	ADJ
iajs-2378	87	34	population	population	NOUN
iajs-2378	87	35	of	of	ADP
iajs-2378	87	36	(	(	PUNCT
iajs-2378	87	37	50	50	NUM
iajs-2378	87	38	)	)	PUNCT
iajs-2378	87	39	chromosomes	chromosome	NOUN
iajs-2378	87	40	,	,	PUNCT
iajs-2378	87	41	choose	choose	VERB
iajs-2378	87	42	five	five	NUM
iajs-2378	87	43	chromosomes	chromosome	NOUN
iajs-2378	87	44	where	where	SCONJ
iajs-2378	87	45	three	three	NUM
iajs-2378	87	46	of	of	ADP
iajs-2378	87	47	them	they	PRON
iajs-2378	87	48	are	be	AUX
iajs-2378	87	49	randomly	randomly	ADV
iajs-2378	87	50	selected	select	VERB
iajs-2378	87	51	while	while	SCONJ
iajs-2378	87	52	the	the	PRON
iajs-2378	87	53	remain	remain	VERB
iajs-2378	87	54	two	two	NUM
iajs-2378	87	55	chromosomes	chromosome	NOUN
iajs-2378	87	56	by	by	ADP
iajs-2378	87	57	applying	apply	VERB
iajs-2378	87	58	the	the	DET
iajs-2378	87	59	earliest	early	ADJ
iajs-2378	87	60	due	due	ADJ
iajs-2378	87	61	date	date	NOUN
iajs-2378	87	62	(	(	PUNCT
iajs-2378	87	63	edd	edd	PROPN
iajs-2378	87	64	)	)	PUNCT
iajs-2378	87	65	and	and	CCONJ
iajs-2378	87	66	the	the	DET
iajs-2378	87	67	shortest	short	ADJ
iajs-2378	87	68	processing	processing	NOUN
iajs-2378	87	69	time	time	NOUN
iajs-2378	87	70	(	(	PUNCT
iajs-2378	87	71	spt	spt	NOUN
iajs-2378	87	72	)	)	PUNCT
iajs-2378	87	73	(	(	PUNCT
iajs-2378	87	74	i.e.	i.e.	X
iajs-2378	87	75	seeding	seed	VERB
iajs-2378	87	76	good	good	ADJ
iajs-2378	87	77	parents	parent	NOUN
iajs-2378	87	78	)	)	PUNCT
iajs-2378	87	79	.	.	PUNCT
iajs-2378	88	1	3	3	X
iajs-2378	88	2	.	.	X
iajs-2378	88	3	selection	selection	NOUN
iajs-2378	88	4	:	:	PUNCT
iajs-2378	88	5	we	we	PRON
iajs-2378	88	6	use	use	VERB
iajs-2378	88	7	the	the	DET
iajs-2378	88	8	roulette	roulette	NOUN
iajs-2378	88	9	wheel	wheel	NOUN
iajs-2378	88	10	selection	selection	NOUN
iajs-2378	88	11	method	method	NOUN
iajs-2378	88	12	,	,	PUNCT
iajs-2378	88	13	where	where	SCONJ
iajs-2378	88	14	we	we	PRON
iajs-2378	88	15	choose	choose	VERB
iajs-2378	88	16	the	the	DET
iajs-2378	88	17	chromosome	chromosome	NOUN
iajs-2378	88	18	with	with	ADP
iajs-2378	88	19	the	the	DET
iajs-2378	88	20	lowest	low	ADJ
iajs-2378	88	21	fitness	fitness	NOUN
iajs-2378	88	22	value	value	NOUN
iajs-2378	88	23	since	since	SCONJ
iajs-2378	88	24	it	it	PRON
iajs-2378	88	25	has	have	VERB
iajs-2378	88	26	a	a	DET
iajs-2378	88	27	higher	high	ADJ
iajs-2378	88	28	probability	probability	NOUN
iajs-2378	88	29	of	of	ADP
iajs-2378	88	30	participating	participate	VERB
iajs-2378	88	31	in	in	ADP
iajs-2378	88	32	one	one	NUM
iajs-2378	88	33	or	or	CCONJ
iajs-2378	88	34	more	more	ADJ
iajs-2378	88	35	children	child	NOUN
iajs-2378	88	36	to	to	ADP
iajs-2378	88	37	the	the	DET
iajs-2378	88	38	new	new	ADJ
iajs-2378	88	39	generation	generation	NOUN
iajs-2378	88	40	.	.	PUNCT
iajs-2378	89	1	4	4	X
iajs-2378	89	2	.	.	X
iajs-2378	89	3	fitness	fitness	NOUN
iajs-2378	89	4	function	function	NOUN
iajs-2378	89	5	:	:	PUNCT
iajs-2378	89	6	the	the	DET
iajs-2378	89	7	fitness	fitness	NOUN
iajs-2378	89	8	function	function	NOUN
iajs-2378	89	9	specifies	specify	VERB
iajs-2378	89	10	a	a	DET
iajs-2378	89	11	value	value	NOUN
iajs-2378	89	12	reflects	reflect	VERB
iajs-2378	89	13	the	the	DET
iajs-2378	89	14	quality	quality	NOUN
iajs-2378	89	15	(	(	PUNCT
iajs-2378	89	16	goodness	goodness	NOUN
iajs-2378	89	17	or	or	CCONJ
iajs-2378	89	18	badness	badness	NOUN
iajs-2378	89	19	)	)	PUNCT
iajs-2378	89	20	of	of	ADP
iajs-2378	89	21	the	the	DET
iajs-2378	89	22	chromosome	chromosome	NOUN
iajs-2378	89	23	[	[	X
iajs-2378	89	24	14	14	NUM
iajs-2378	89	25	]	]	PUNCT
iajs-2378	89	26	.	.	PUNCT
iajs-2378	90	1	here	here	ADV
iajs-2378	90	2	,	,	PUNCT
iajs-2378	90	3	in	in	ADP
iajs-2378	90	4	this	this	DET
iajs-2378	90	5	paper	paper	NOUN
iajs-2378	90	6	,	,	PUNCT
iajs-2378	90	7	the	the	DET
iajs-2378	90	8	considered	consider	VERB
iajs-2378	90	9	function	function	NOUN
iajs-2378	90	10	is	be	AUX
iajs-2378	90	11	;	;	PUNCT
iajs-2378	90	12	∑	∑	PUNCT
iajs-2378	90	13	.	.	PUNCT
iajs-2378	91	1	5	5	X
iajs-2378	91	2	.	.	X
iajs-2378	91	3	crossover	crossover	NOUN
iajs-2378	91	4	:	:	PUNCT
iajs-2378	91	5	the	the	DET
iajs-2378	91	6	1	1	NUM
iajs-2378	91	7	-	-	PUNCT
iajs-2378	91	8	point	point	NOUN
iajs-2378	91	9	legitimate	legitimate	ADJ
iajs-2378	91	10	crossover	crossover	NOUN
iajs-2378	91	11	(	(	PUNCT
iajs-2378	91	12	legx	legx	NOUN
iajs-2378	91	13	)	)	PUNCT
iajs-2378	92	1	[	[	X
iajs-2378	92	2	15	15	NUM
iajs-2378	92	3	]	]	PUNCT
iajs-2378	92	4	.	.	PUNCT
iajs-2378	92	5	is	be	AUX
iajs-2378	92	6	used	use	VERB
iajs-2378	92	7	.	.	PUNCT
iajs-2378	93	1	the	the	DET
iajs-2378	93	2	cut	cut	VERB
iajs-2378	93	3	probability	probability	NOUN
iajs-2378	93	4	is	be	AUX
iajs-2378	93	5	0.2	0.2	NUM
iajs-2378	93	6	when	when	SCONJ
iajs-2378	93	7	and	and	CCONJ
iajs-2378	93	8	when	when	SCONJ
iajs-2378	93	9	we	we	PRON
iajs-2378	93	10	cut	cut	VERB
iajs-2378	93	11	at	at	ADP
iajs-2378	93	12	every	every	DET
iajs-2378	93	13	1000	1000	NUM
iajs-2378	93	14	jobs	job	NOUN
iajs-2378	93	15	.	.	PUNCT
iajs-2378	94	1	in	in	ADP
iajs-2378	94	2	parent	parent	NOUN
iajs-2378	94	3	1	1	NUM
iajs-2378	94	4	the	the	DET
iajs-2378	94	5	cut	cut	NOUN
iajs-2378	94	6	will	will	AUX
iajs-2378	94	7	be	be	AUX
iajs-2378	94	8	at	at	ADP
iajs-2378	94	9	the	the	DET
iajs-2378	94	10	end	end	NOUN
iajs-2378	94	11	,	,	PUNCT
iajs-2378	94	12	while	while	SCONJ
iajs-2378	94	13	in	in	ADP
iajs-2378	94	14	the	the	DET
iajs-2378	94	15	parent	parent	NOUN
iajs-2378	94	16	2	2	NUM
iajs-2378	94	17	,	,	PUNCT
iajs-2378	94	18	the	the	DET
iajs-2378	94	19	cut	cut	NOUN
iajs-2378	94	20	will	will	AUX
iajs-2378	94	21	be	be	AUX
iajs-2378	94	22	at	at	ADP
iajs-2378	94	23	the	the	DET
iajs-2378	94	24	beginning	beginning	NOUN
iajs-2378	94	25	,	,	PUNCT
iajs-2378	94	26	as	as	ADP
iajs-2378	94	27	the	the	DET
iajs-2378	94	28	following	follow	VERB
iajs-2378	94	29	example	example	NOUN
iajs-2378	94	30	;	;	PUNCT
iajs-2378	94	31	parent	parent	NOUN
iajs-2378	94	32	(	(	PUNCT
iajs-2378	94	33	1	1	NUM
iajs-2378	94	34	):	):	PUNCT
iajs-2378	94	35	6	6	NUM
iajs-2378	94	36	4	4	NUM
iajs-2378	94	37	5	5	NUM
iajs-2378	94	38	2	2	NUM
iajs-2378	94	39	0	0	NUM
iajs-2378	94	40	9	9	NUM
iajs-2378	94	41	8	8	NUM
iajs-2378	94	42	7	7	NUM
iajs-2378	94	43	1	1	NUM
iajs-2378	94	44	3	3	NUM
iajs-2378	94	45	child	child	NOUN
iajs-2378	94	46	(	(	PUNCT
iajs-2378	94	47	1	1	NUM
iajs-2378	94	48	):	):	PUNCT
iajs-2378	94	49	6	6	NUM
iajs-2378	94	50	4	4	NUM
iajs-2378	94	51	5	5	NUM
iajs-2378	94	52	2	2	NUM
iajs-2378	94	53	0	0	NUM
iajs-2378	94	54	9	9	NUM
iajs-2378	94	55	8	8	NUM
iajs-2378	94	56	7	7	NUM
iajs-2378	94	57	3	3	NUM
iajs-2378	94	58	1	1	NUM
iajs-2378	94	59	parent	parent	NOUN
iajs-2378	94	60	(	(	PUNCT
iajs-2378	94	61	2	2	NUM
iajs-2378	94	62	):	):	PUNCT
iajs-2378	94	63	0	0	NUM
iajs-2378	94	64	2	2	NUM
iajs-2378	94	65	3	3	NUM
iajs-2378	94	66	9	9	NUM
iajs-2378	94	67	4	4	NUM
iajs-2378	94	68	5	5	NUM
iajs-2378	94	69	1	1	NUM
iajs-2378	94	70	7	7	NUM
iajs-2378	94	71	6	6	NUM
iajs-2378	94	72	8	8	NUM
iajs-2378	94	73	child	child	NOUN
iajs-2378	94	74	(	(	PUNCT
iajs-2378	94	75	2	2	NUM
iajs-2378	94	76	):	):	PUNCT
iajs-2378	94	77	2	2	NUM
iajs-2378	94	78	0	0	NUM
iajs-2378	94	79	3	3	NUM
iajs-2378	94	80	9	9	NUM
iajs-2378	94	81	4	4	NUM
iajs-2378	94	82	5	5	NUM
iajs-2378	94	83	1	1	NUM
iajs-2378	94	84	7	7	NUM
iajs-2378	94	85	6	6	NUM
iajs-2378	94	86	8	8	NUM
iajs-2378	94	87	where	where	SCONJ
iajs-2378	94	88	we	we	PRON
iajs-2378	94	89	generate	generate	VERB
iajs-2378	94	90	the	the	DET
iajs-2378	94	91	new	new	ADJ
iajs-2378	94	92	population	population	NOUN
iajs-2378	94	93	by	by	ADP
iajs-2378	94	94	mating	mate	VERB
iajs-2378	94	95	each	each	DET
iajs-2378	94	96	chromosome	chromosome	NOUN
iajs-2378	94	97	from	from	ADP
iajs-2378	94	98	step	step	NOUN
iajs-2378	94	99	2	2	NUM
iajs-2378	94	100	with	with	ADP
iajs-2378	94	101	the	the	DET
iajs-2378	94	102	whole	whole	ADJ
iajs-2378	94	103	five	five	NUM
iajs-2378	94	104	chromosomes	chromosome	NOUN
iajs-2378	94	105	,	,	PUNCT
iajs-2378	94	106	and	and	CCONJ
iajs-2378	94	107	every	every	DET
iajs-2378	94	108	parent	parent	NOUN
iajs-2378	94	109	chromosome	chromosome	NOUN
iajs-2378	94	110	will	will	AUX
iajs-2378	94	111	produce	produce	VERB
iajs-2378	94	112	10	10	NUM
iajs-2378	94	113	children	child	NOUN
iajs-2378	94	114	chromosomes	chromosome	NOUN
iajs-2378	94	115	,	,	PUNCT
iajs-2378	94	116	so	so	ADV
iajs-2378	94	117	the	the	DET
iajs-2378	94	118	resulting	result	VERB
iajs-2378	94	119	new	new	ADJ
iajs-2378	94	120	population	population	NOUN
iajs-2378	94	121	will	will	AUX
iajs-2378	94	122	consists	consist	VERB
iajs-2378	94	123	of	of	ADP
iajs-2378	94	124	50	50	NUM
iajs-2378	94	125	new	new	ADJ
iajs-2378	94	126	chromosomes	chromosome	NOUN
iajs-2378	94	127	.	.	PUNCT
iajs-2378	95	1	6	6	X
iajs-2378	95	2	.	.	X
iajs-2378	95	3	mutation	mutation	NOUN
iajs-2378	95	4	:	:	PUNCT
iajs-2378	95	5	in	in	ADP
iajs-2378	95	6	getting	get	VERB
iajs-2378	95	7	better	well	ADJ
iajs-2378	95	8	results	result	NOUN
iajs-2378	95	9	,	,	PUNCT
iajs-2378	95	10	the	the	DET
iajs-2378	95	11	mutation	mutation	NOUN
iajs-2378	95	12	operator	operator	NOUN
iajs-2378	95	13	inside	inside	ADP
iajs-2378	95	14	the	the	DET
iajs-2378	95	15	sequence	sequence	NOUN
iajs-2378	95	16	as	as	ADP
iajs-2378	95	17	an	an	DET
iajs-2378	95	18	intent	intent	NOUN
iajs-2378	95	19	to	to	PART
iajs-2378	95	20	get	get	VERB
iajs-2378	95	21	an	an	DET
iajs-2378	95	22	improvement	improvement	NOUN
iajs-2378	95	23	[	[	X
iajs-2378	95	24	16	16	NUM
iajs-2378	95	25	]	]	PUNCT
iajs-2378	95	26	.	.	PUNCT
iajs-2378	96	1	for	for	ADP
iajs-2378	96	2	our	our	PRON
iajs-2378	96	3	problem	problem	NOUN
iajs-2378	96	4	,	,	PUNCT
iajs-2378	96	5	the	the	DET
iajs-2378	96	6	random	random	ADJ
iajs-2378	96	7	swap	swap	NOUN
iajs-2378	96	8	between	between	ADP
iajs-2378	96	9	jobs	job	NOUN
iajs-2378	96	10	is	be	AUX
iajs-2378	96	11	applied	apply	VERB
iajs-2378	96	12	.	.	PUNCT
iajs-2378	97	1	7	7	X
iajs-2378	97	2	.	.	X
iajs-2378	97	3	termination	termination	NOUN
iajs-2378	97	4	:	:	PUNCT
iajs-2378	97	5	the	the	DET
iajs-2378	97	6	stopping	stop	VERB
iajs-2378	97	7	criterion	criterion	NOUN
iajs-2378	97	8	is	be	AUX
iajs-2378	97	9	600	600	NUM
iajs-2378	97	10	seconds	second	NOUN
iajs-2378	97	11	.	.	PUNCT
iajs-2378	98	1	figure	figure	NOUN
iajs-2378	98	2	1	1	NUM
iajs-2378	98	3	:	:	PUNCT
iajs-2378	98	4	the	the	DET
iajs-2378	98	5	(	(	PUNCT
iajs-2378	98	6	ga	ga	NOUN
iajs-2378	98	7	)	)	PUNCT
iajs-2378	98	8	algorithm	algorithm	NOUN
iajs-2378	98	9	.	.	PUNCT
iajs-2378	99	1	initialization	initialization	NOUN
iajs-2378	99	2	selection	selection	NOUN
iajs-2378	99	3	crossover	crossover	ADP
iajs-2378	99	4	new	new	ADJ
iajs-2378	99	5	population	population	NOUN
iajs-2378	99	6	save	save	VERB
iajs-2378	99	7	best	good	ADJ
iajs-2378	99	8	solutions	solution	NOUN
iajs-2378	99	9	mutation	mutation	NOUN
iajs-2378	99	10	124	124	NUM
iajs-2378	99	11	ibn	ibn	PROPN
iajs-2378	99	12	al	al	PROPN
iajs-2378	99	13	-	-	PUNCT
iajs-2378	99	14	haitham	haitham	PROPN
iajs-2378	99	15	jour	jour	X
iajs-2378	99	16	.	.	PROPN
iajs-2378	100	1	for	for	ADP
iajs-2378	100	2	pure	pure	ADJ
iajs-2378	100	3	&	&	CCONJ
iajs-2378	100	4	appl	appl	PROPN
iajs-2378	100	5	.	.	PUNCT
iajs-2378	101	1	sci	sci	PROPN
iajs-2378	101	2	.	.	PROPN
iajs-2378	102	1	33	33	NUM
iajs-2378	102	2	(	(	PUNCT
iajs-2378	102	3	1	1	NUM
iajs-2378	102	4	)	)	PUNCT
iajs-2378	102	5	2020	2020	NUM
iajs-2378	103	1	5.2	5.2	NUM
iajs-2378	103	2	.	.	PUNCT
iajs-2378	104	1	particle	particle	NOUN
iajs-2378	104	2	swarm	swarm	NOUN
iajs-2378	104	3	optimization	optimization	NOUN
iajs-2378	104	4	(	(	PUNCT
iajs-2378	104	5	pso	pso	NOUN
iajs-2378	104	6	):	):	PUNCT
iajs-2378	104	7	the	the	DET
iajs-2378	104	8	(	(	PUNCT
iajs-2378	104	9	pso	pso	NOUN
iajs-2378	104	10	)	)	PUNCT
iajs-2378	104	11	is	be	AUX
iajs-2378	104	12	a	a	DET
iajs-2378	104	13	very	very	ADV
iajs-2378	104	14	simple	simple	ADJ
iajs-2378	104	15	algorithm	algorithm	NOUN
iajs-2378	104	16	and	and	CCONJ
iajs-2378	104	17	effective	effective	ADJ
iajs-2378	104	18	optimizer	optimizer	NOUN
iajs-2378	104	19	for	for	ADP
iajs-2378	104	20	functions	function	NOUN
iajs-2378	104	21	from	from	ADP
iajs-2378	104	22	wide	wide	ADJ
iajs-2378	104	23	range	range	NOUN
iajs-2378	104	24	developed	develop	VERB
iajs-2378	104	25	by	by	ADP
iajs-2378	104	26	eberhart	eberhart	NOUN
iajs-2378	104	27	[	[	X
iajs-2378	104	28	17	17	NUM
iajs-2378	104	29	]	]	PUNCT
iajs-2378	104	30	.	.	PUNCT
iajs-2378	105	1	it	it	PRON
iajs-2378	105	2	is	be	AUX
iajs-2378	105	3	based	base	VERB
iajs-2378	105	4	on	on	ADP
iajs-2378	105	5	social	social	ADJ
iajs-2378	105	6	simulation	simulation	NOUN
iajs-2378	105	7	models	model	NOUN
iajs-2378	105	8	.	.	PUNCT
iajs-2378	106	1	this	this	DET
iajs-2378	106	2	algorithm	algorithm	NOUN
iajs-2378	106	3	assigns	assign	VERB
iajs-2378	106	4	a	a	DET
iajs-2378	106	5	collection	collection	NOUN
iajs-2378	106	6	(	(	PUNCT
iajs-2378	106	7	population	population	NOUN
iajs-2378	106	8	)	)	PUNCT
iajs-2378	106	9	of	of	ADP
iajs-2378	106	10	search	search	NOUN
iajs-2378	106	11	points	point	NOUN
iajs-2378	106	12	(	(	PUNCT
iajs-2378	106	13	solutions	solution	NOUN
iajs-2378	106	14	)	)	PUNCT
iajs-2378	106	15	moving	move	VERB
iajs-2378	106	16	randomly	randomly	ADV
iajs-2378	106	17	in	in	ADP
iajs-2378	106	18	the	the	DET
iajs-2378	106	19	search	search	NOUN
iajs-2378	106	20	space	space	NOUN
iajs-2378	106	21	,	,	PUNCT
iajs-2378	106	22	and	and	CCONJ
iajs-2378	106	23	the	the	DET
iajs-2378	106	24	best	good	ADJ
iajs-2378	106	25	position	position	NOUN
iajs-2378	106	26	found	find	VERB
iajs-2378	106	27	by	by	ADP
iajs-2378	106	28	every	every	DET
iajs-2378	106	29	individual	individual	NOUN
iajs-2378	106	30	which	which	PRON
iajs-2378	106	31	is	be	AUX
iajs-2378	106	32	also	also	ADV
iajs-2378	106	33	said	say	VERB
iajs-2378	106	34	to	to	PART
iajs-2378	106	35	be	be	AUX
iajs-2378	106	36	is	be	AUX
iajs-2378	106	37	saved	save	VERB
iajs-2378	106	38	in	in	ADP
iajs-2378	106	39	memory	memory	NOUN
iajs-2378	106	40	.	.	PUNCT
iajs-2378	107	1	then	then	ADV
iajs-2378	107	2	,	,	PUNCT
iajs-2378	107	3	this	this	DET
iajs-2378	107	4	experience	experience	NOUN
iajs-2378	107	5	of	of	ADP
iajs-2378	107	6	the	the	DET
iajs-2378	107	7	individual	individual	NOUN
iajs-2378	107	8	is	be	AUX
iajs-2378	107	9	connected	connect	VERB
iajs-2378	107	10	with	with	ADP
iajs-2378	107	11	the	the	DET
iajs-2378	107	12	part	part	NOUN
iajs-2378	107	13	or	or	CCONJ
iajs-2378	107	14	whole	whole	NOUN
iajs-2378	107	15	of	of	ADP
iajs-2378	107	16	the	the	DET
iajs-2378	107	17	swarm	swarm	NOUN
iajs-2378	107	18	to	to	PART
iajs-2378	107	19	change	change	VERB
iajs-2378	107	20	the	the	DET
iajs-2378	107	21	movement	movement	NOUN
iajs-2378	107	22	direction	direction	NOUN
iajs-2378	107	23	to	to	ADP
iajs-2378	107	24	the	the	DET
iajs-2378	107	25	best	good	ADJ
iajs-2378	107	26	locations	location	NOUN
iajs-2378	107	27	were	be	AUX
iajs-2378	107	28	found	find	VERB
iajs-2378	107	29	till	till	SCONJ
iajs-2378	107	30	now	now	ADV
iajs-2378	107	31	.	.	PUNCT
iajs-2378	108	1	the	the	DET
iajs-2378	108	2	swarming	swarm	VERB
iajs-2378	108	3	behavior	behavior	NOUN
iajs-2378	108	4	is	be	AUX
iajs-2378	108	5	produced	produce	VERB
iajs-2378	108	6	by	by	ADP
iajs-2378	108	7	employing	employ	VERB
iajs-2378	108	8	main	main	ADJ
iajs-2378	108	9	rules	rule	NOUN
iajs-2378	108	10	which	which	PRON
iajs-2378	108	11	are	be	AUX
iajs-2378	108	12	;	;	PUNCT
iajs-2378	108	13	the	the	DET
iajs-2378	108	14	velocity	velocity	NOUN
iajs-2378	108	15	matching	matching	NOUN
iajs-2378	108	16	and	and	CCONJ
iajs-2378	108	17	acceleration	acceleration	NOUN
iajs-2378	108	18	by	by	ADP
iajs-2378	108	19	the	the	DET
iajs-2378	108	20	distance	distance	NOUN
iajs-2378	108	21	applying	apply	VERB
iajs-2378	108	22	by	by	ADP
iajs-2378	108	23	every	every	DET
iajs-2378	108	24	individual	individual	NOUN
iajs-2378	108	25	in	in	ADP
iajs-2378	108	26	the	the	DET
iajs-2378	108	27	swarm	swarm	NOUN
iajs-2378	108	28	in	in	ADP
iajs-2378	108	29	their	their	PRON
iajs-2378	108	30	searching	searching	NOUN
iajs-2378	108	31	of	of	ADP
iajs-2378	108	32	food	food	NOUN
iajs-2378	108	33	[	[	X
iajs-2378	108	34	18	18	NUM
iajs-2378	108	35	]	]	PUNCT
iajs-2378	108	36	.	.	PUNCT
iajs-2378	109	1	where	where	SCONJ
iajs-2378	109	2	:	:	PUNCT
iajs-2378	109	3	(	(	PUNCT
iajs-2378	109	4	)	)	PUNCT
iajs-2378	109	5	(	(	PUNCT
iajs-2378	109	6	)	)	PUNCT
iajs-2378	109	7	(	(	PUNCT
iajs-2378	109	8	3	3	NUM
iajs-2378	109	9	)	)	PUNCT
iajs-2378	109	10	,	,	PUNCT
iajs-2378	109	11	.	.	PUNCT
iajs-2378	110	1	(	(	PUNCT
iajs-2378	110	2	4	4	X
iajs-2378	110	3	)	)	PUNCT
iajs-2378	110	4	where	where	SCONJ
iajs-2378	110	5	is	be	AUX
iajs-2378	110	6	the	the	DET
iajs-2378	110	7	inertia	inertia	NOUN
iajs-2378	110	8	parameter	parameter	NOUN
iajs-2378	110	9	,	,	PUNCT
iajs-2378	110	10	are	be	AUX
iajs-2378	110	11	two	two	NUM
iajs-2378	110	12	arbitrary	arbitrary	ADJ
iajs-2378	110	13	functions	function	NOUN
iajs-2378	110	14	of	of	ADP
iajs-2378	110	15	the	the	DET
iajs-2378	110	16	(	(	PUNCT
iajs-2378	110	17	0	0	NUM
iajs-2378	110	18	,	,	PUNCT
iajs-2378	110	19	1	1	X
iajs-2378	110	20	)	)	PUNCT
iajs-2378	110	21	range	range	NOUN
iajs-2378	110	22	,	,	PUNCT
iajs-2378	110	23	are	be	AUX
iajs-2378	110	24	two	two	NUM
iajs-2378	110	25	constants	constant	NOUN
iajs-2378	110	26	,	,	PUNCT
iajs-2378	110	27	the	the	DET
iajs-2378	110	28	swarm	swarm	NOUN
iajs-2378	110	29	(	(	PUNCT
iajs-2378	110	30	or	or	CCONJ
iajs-2378	110	31	population	population	NOUN
iajs-2378	110	32	)	)	PUNCT
iajs-2378	110	33	is	be	AUX
iajs-2378	110	34	a	a	DET
iajs-2378	110	35	set	set	NOUN
iajs-2378	110	36	of	of	ADP
iajs-2378	110	37	(	(	PUNCT
iajs-2378	110	38	y	y	NOUN
iajs-2378	110	39	)	)	PUNCT
iajs-2378	110	40	particles	particle	NOUN
iajs-2378	110	41	positioned	position	VERB
iajs-2378	110	42	in	in	ADP
iajs-2378	110	43	ldimensional	ldimensional	ADJ
iajs-2378	110	44	space	space	NOUN
iajs-2378	110	45	.	.	PUNCT
iajs-2378	111	1	at	at	ADP
iajs-2378	111	2	every	every	DET
iajs-2378	111	3	iteration	iteration	NOUN
iajs-2378	111	4	t	t	NOUN
iajs-2378	111	5	(	(	PUNCT
iajs-2378	111	6	where	where	SCONJ
iajs-2378	111	7	t	t	PROPN
iajs-2378	111	8	=	=	SYM
iajs-2378	111	9	1,	1,	NUM
iajs-2378	111	10	…	…	SYM
iajs-2378	111	11	,t	,t	NUM
iajs-2378	111	12	)	)	PUNCT
iajs-2378	111	13	,	,	PUNCT
iajs-2378	111	14	the	the	DET
iajs-2378	111	15	particle	particle	NOUN
iajs-2378	111	16	(	(	PUNCT
iajs-2378	111	17	i=1,	i=1,	NOUN
iajs-2378	111	18	…	…	PUNCT
iajs-2378	111	19	,y	,y	NUM
iajs-2378	111	20	)	)	PUNCT
iajs-2378	111	21	has	have	VERB
iajs-2378	111	22	a	a	DET
iajs-2378	111	23	position	position	NOUN
iajs-2378	111	24	where	where	SCONJ
iajs-2378	111	25	j=1	j=1	NOUN
iajs-2378	111	26	,	,	PUNCT
iajs-2378	111	27	…	…	PUNCT
iajs-2378	111	28	,	,	PUNCT
iajs-2378	111	29	l	l	NOUN
iajs-2378	111	30	and	and	CCONJ
iajs-2378	111	31	a	a	DET
iajs-2378	111	32	velocity	velocity	NOUN
iajs-2378	111	33	.	.	PUNCT
iajs-2378	112	1	the	the	DET
iajs-2378	112	2	velocity	velocity	NOUN
iajs-2378	112	3	is	be	AUX
iajs-2378	112	4	the	the	DET
iajs-2378	112	5	rate	rate	NOUN
iajs-2378	112	6	of	of	ADP
iajs-2378	112	7	moving	move	VERB
iajs-2378	112	8	the	the	DET
iajs-2378	112	9	particle	particle	NOUN
iajs-2378	112	10	from	from	ADP
iajs-2378	112	11	to	to	ADP
iajs-2378	112	12	.	.	PUNCT
iajs-2378	113	1	every	every	DET
iajs-2378	113	2	position	position	NOUN
iajs-2378	113	3	may	may	AUX
iajs-2378	113	4	be	be	AUX
iajs-2378	113	5	(	(	PUNCT
iajs-2378	113	6	directly	directly	ADV
iajs-2378	113	7	or	or	CCONJ
iajs-2378	113	8	indirectly	indirectly	ADV
iajs-2378	113	9	)	)	PUNCT
iajs-2378	113	10	represent	represent	VERB
iajs-2378	113	11	a	a	DET
iajs-2378	113	12	solution	solution	NOUN
iajs-2378	113	13	for	for	ADP
iajs-2378	113	14	a	a	DET
iajs-2378	113	15	problem	problem	NOUN
iajs-2378	113	16	.	.	PUNCT
iajs-2378	114	1	the	the	DET
iajs-2378	114	2	objective	objective	ADJ
iajs-2378	114	3	function	function	NOUN
iajs-2378	114	4	is	be	AUX
iajs-2378	114	5	denoted	denote	VERB
iajs-2378	114	6	as	as	ADP
iajs-2378	114	7	,	,	PUNCT
iajs-2378	114	8	which	which	PRON
iajs-2378	114	9	is	be	AUX
iajs-2378	114	10	also	also	ADV
iajs-2378	114	11	called	call	VERB
iajs-2378	114	12	the	the	DET
iajs-2378	114	13	fitness	fitness	NOUN
iajs-2378	114	14	function	function	NOUN
iajs-2378	114	15	.	.	PUNCT
iajs-2378	115	1	in	in	ADP
iajs-2378	115	2	the	the	DET
iajs-2378	115	3	minimization	minimization	NOUN
iajs-2378	115	4	problem	problem	NOUN
iajs-2378	115	5	(	(	PUNCT
iajs-2378	115	6	as	as	ADP
iajs-2378	115	7	in	in	ADP
iajs-2378	115	8	this	this	DET
iajs-2378	115	9	paper	paper	NOUN
iajs-2378	115	10	)	)	PUNCT
iajs-2378	115	11	is	be	AUX
iajs-2378	115	12	better	well	ADJ
iajs-2378	115	13	than	than	ADP
iajs-2378	115	14	(	(	PUNCT
iajs-2378	115	15	where	where	SCONJ
iajs-2378	115	16	a	a	DET
iajs-2378	115	17	,	,	PUNCT
iajs-2378	115	18	b	b	NOUN
iajs-2378	115	19	)	)	PUNCT
iajs-2378	115	20	when	when	SCONJ
iajs-2378	115	21	.	.	PUNCT
iajs-2378	116	1	the	the	DET
iajs-2378	116	2	particle	particle	NOUN
iajs-2378	116	3	pest	pest	NOUN
iajs-2378	116	4	position	position	NOUN
iajs-2378	116	5	is	be	AUX
iajs-2378	116	6	the	the	DET
iajs-2378	116	7	position	position	NOUN
iajs-2378	116	8	when	when	SCONJ
iajs-2378	116	9	the	the	DET
iajs-2378	116	10	function	function	NOUN
iajs-2378	116	11	takes	take	VERB
iajs-2378	116	12	the	the	DET
iajs-2378	116	13	minimum	minimum	ADJ
iajs-2378	116	14	value	value	NOUN
iajs-2378	116	15	till	till	SCONJ
iajs-2378	116	16	now	now	ADV
iajs-2378	116	17	and	and	CCONJ
iajs-2378	116	18	denoted	denote	VERB
iajs-2378	116	19	as	as	ADP
iajs-2378	116	20	.	.	PUNCT
iajs-2378	117	1	the	the	DET
iajs-2378	117	2	global	global	ADJ
iajs-2378	117	3	best	good	ADJ
iajs-2378	117	4	position	position	NOUN
iajs-2378	117	5	(	(	PUNCT
iajs-2378	117	6	)	)	PUNCT
iajs-2378	117	7	is	be	AUX
iajs-2378	117	8	denoted	denote	VERB
iajs-2378	117	9	as	as	ADP
iajs-2378	117	10	which	which	PRON
iajs-2378	117	11	is	be	AUX
iajs-2378	117	12	the	the	DET
iajs-2378	117	13	best	good	ADJ
iajs-2378	117	14	position	position	NOUN
iajs-2378	117	15	found	find	VERB
iajs-2378	117	16	by	by	ADP
iajs-2378	117	17	the	the	DET
iajs-2378	117	18	entire	entire	ADJ
iajs-2378	117	19	swarm	swarm	NOUN
iajs-2378	117	20	.	.	PUNCT
iajs-2378	118	1	[	[	X
iajs-2378	118	2	19	19	NUM
iajs-2378	118	3	]	]	PUNCT
iajs-2378	118	4	.	.	PUNCT
iajs-2378	119	1	then	then	ADV
iajs-2378	119	2	the	the	DET
iajs-2378	119	3	algorithm	algorithm	NOUN
iajs-2378	119	4	is	be	AUX
iajs-2378	119	5	:	:	PUNCT
iajs-2378	119	6	5.2.1	5.2.1	X
iajs-2378	119	7	.	.	PUNCT
iajs-2378	119	8	(	(	PUNCT
iajs-2378	119	9	pso	pso	NOUN
iajs-2378	119	10	)	)	PUNCT
iajs-2378	119	11	algorithm	algorithm	NOUN
iajs-2378	119	12	[	[	X
iajs-2378	119	13	17	17	NUM
iajs-2378	119	14	]	]	PUNCT
iajs-2378	119	15	.	.	PUNCT
iajs-2378	120	1	step	step	NOUN
iajs-2378	120	2	1	1	NUM
iajs-2378	120	3	:	:	PUNCT
iajs-2378	120	4	initialize	initialize	VERB
iajs-2378	120	5	the	the	DET
iajs-2378	120	6	population	population	NOUN
iajs-2378	120	7	with	with	ADP
iajs-2378	120	8	7	7	NUM
iajs-2378	120	9	particles	particle	NOUN
iajs-2378	120	10	in	in	ADP
iajs-2378	120	11	which	which	PRON
iajs-2378	120	12	have	have	VERB
iajs-2378	120	13	random	random	ADJ
iajs-2378	120	14	positions	position	NOUN
iajs-2378	120	15	and	and	CCONJ
iajs-2378	120	16	velocities	velocity	NOUN
iajs-2378	120	17	.	.	PUNCT
iajs-2378	121	1	step	step	NOUN
iajs-2378	121	2	2	2	NUM
iajs-2378	121	3	:	:	PUNCT
iajs-2378	121	4	evaluate	evaluate	VERB
iajs-2378	121	5	the	the	DET
iajs-2378	121	6	objective	objective	NOUN
iajs-2378	121	7	(	(	PUNCT
iajs-2378	121	8	the	the	DET
iajs-2378	121	9	fitness	fitness	NOUN
iajs-2378	121	10	)	)	PUNCT
iajs-2378	121	11	function	function	NOUN
iajs-2378	121	12	for	for	ADP
iajs-2378	121	13	each	each	DET
iajs-2378	121	14	particle	particle	NOUN
iajs-2378	121	15	in	in	ADP
iajs-2378	121	16	the	the	DET
iajs-2378	121	17	swarm	swarm	NOUN
iajs-2378	121	18	to	to	PART
iajs-2378	121	19	get	get	VERB
iajs-2378	121	20	the	the	DET
iajs-2378	121	21	best	good	ADJ
iajs-2378	121	22	solution	solution	NOUN
iajs-2378	121	23	.	.	PUNCT
iajs-2378	122	1	step	step	NOUN
iajs-2378	122	2	3	3	NUM
iajs-2378	122	3	:	:	PUNCT
iajs-2378	122	4	from	from	ADP
iajs-2378	122	5	we	we	PRON
iajs-2378	122	6	generate	generate	VERB
iajs-2378	122	7	the	the	DET
iajs-2378	122	8	new	new	ADJ
iajs-2378	122	9	population	population	NOUN
iajs-2378	122	10	of	of	ADP
iajs-2378	122	11	7	7	NUM
iajs-2378	122	12	other	other	ADJ
iajs-2378	122	13	solutions	solution	NOUN
iajs-2378	122	14	,	,	PUNCT
iajs-2378	122	15	as	as	SCONJ
iajs-2378	122	16	follows	follow	VERB
iajs-2378	122	17	:	:	PUNCT
iajs-2378	122	18			NOUN
iajs-2378	122	19	:	:	PUNCT
iajs-2378	122	20	swapping	swap	VERB
iajs-2378	122	21	two	two	NUM
iajs-2378	122	22	jobs	job	NOUN
iajs-2378	122	23	in	in	ADP
iajs-2378	122	24	the	the	DET
iajs-2378	122	25	sequence	sequence	NOUN
iajs-2378	122	26	of	of	ADP
iajs-2378	122	27	.	.	PUNCT
iajs-2378	123	1			X
iajs-2378	123	2	:	:	PUNCT
iajs-2378	123	3	swapping	swap	VERB
iajs-2378	123	4	two	two	NUM
iajs-2378	123	5	jobs	job	NOUN
iajs-2378	123	6	(	(	PUNCT
iajs-2378	123	7	deferent	deferent	ADJ
iajs-2378	123	8	than	than	ADP
iajs-2378	123	9	)	)	PUNCT
iajs-2378	123	10	in	in	ADP
iajs-2378	123	11	.	.	PUNCT
iajs-2378	124	1			PUNCT
iajs-2378	124	2	:	:	PUNCT
iajs-2378	124	3	swapping	swap	VERB
iajs-2378	124	4	two	two	NUM
iajs-2378	124	5	jobs	job	NOUN
iajs-2378	124	6	(	(	PUNCT
iajs-2378	124	7	deferent	deferent	ADJ
iajs-2378	124	8	than	than	ADP
iajs-2378	124	9	and	and	CCONJ
iajs-2378	124	10	)	)	PUNCT
iajs-2378	124	11	in	in	ADP
iajs-2378	124	12	.	.	PUNCT
iajs-2378	125	1			X
iajs-2378	125	2	:	:	PUNCT
iajs-2378	125	3	ordering	order	VERB
iajs-2378	125	4	the	the	DET
iajs-2378	125	5	first	first	ADJ
iajs-2378	125	6	half	half	NOUN
iajs-2378	125	7	of	of	ADP
iajs-2378	125	8	in	in	ADP
iajs-2378	125	9	edd	edd	PROPN
iajs-2378	125	10	rule	rule	NOUN
iajs-2378	125	11	.	.	PUNCT
iajs-2378	126	1			PUNCT
iajs-2378	126	2	:	:	PUNCT
iajs-2378	126	3	ordering	order	VERB
iajs-2378	126	4	the	the	DET
iajs-2378	126	5	second	second	ADJ
iajs-2378	126	6	half	half	NOUN
iajs-2378	126	7	of	of	ADP
iajs-2378	126	8	in	in	ADP
iajs-2378	126	9	edd	edd	PROPN
iajs-2378	126	10	rule	rule	NOUN
iajs-2378	126	11	.	.	PUNCT
iajs-2378	127	1			PUNCT
iajs-2378	127	2	:	:	PUNCT
iajs-2378	127	3	ordering	order	VERB
iajs-2378	127	4	the	the	DET
iajs-2378	127	5	first	first	ADJ
iajs-2378	127	6	half	half	NOUN
iajs-2378	127	7	of	of	ADP
iajs-2378	127	8	in	in	ADP
iajs-2378	127	9	spt	spt	PROPN
iajs-2378	127	10	rule	rule	NOUN
iajs-2378	127	11	.	.	PUNCT
iajs-2378	128	1			PUNCT
iajs-2378	128	2	:	:	PUNCT
iajs-2378	128	3	ordering	order	VERB
iajs-2378	128	4	the	the	DET
iajs-2378	128	5	second	second	ADJ
iajs-2378	128	6	half	half	NOUN
iajs-2378	128	7	of	of	ADP
iajs-2378	128	8	in	in	ADP
iajs-2378	128	9	spt	spt	PROPN
iajs-2378	128	10	rule	rule	NOUN
iajs-2378	128	11	.	.	PUNCT
iajs-2378	129	1	step	step	NOUN
iajs-2378	129	2	3	3	NUM
iajs-2378	129	3	:	:	PUNCT
iajs-2378	129	4	compare	compare	VERB
iajs-2378	129	5	the	the	DET
iajs-2378	129	6	particle	particle	NOUN
iajs-2378	129	7	's	's	PART
iajs-2378	129	8	fitness	fitness	NOUN
iajs-2378	129	9	evaluation	evaluation	NOUN
iajs-2378	129	10	with	with	ADP
iajs-2378	129	11	its	its	PRON
iajs-2378	129	12	,	,	PUNCT
iajs-2378	129	13	if	if	SCONJ
iajs-2378	129	14	the	the	DET
iajs-2378	129	15	then	then	ADV
iajs-2378	129	16	set	set	NOUN
iajs-2378	129	17	:	:	PUNCT
iajs-2378	129	18	(	(	PUNCT
iajs-2378	129	19	)	)	PUNCT
iajs-2378	129	20	and	and	CCONJ
iajs-2378	129	21	)	)	PUNCT
iajs-2378	129	22	.	.	PUNCT
iajs-2378	130	1	step	step	NOUN
iajs-2378	130	2	4	4	NUM
iajs-2378	130	3	:	:	PUNCT
iajs-2378	130	4	compare	compare	VERB
iajs-2378	130	5	evaluation	evaluation	NOUN
iajs-2378	130	6	with	with	ADP
iajs-2378	130	7	,	,	PUNCT
iajs-2378	130	8	if	if	SCONJ
iajs-2378	130	9	current	current	ADJ
iajs-2378	130	10	value	value	NOUN
iajs-2378	130	11	then	then	ADV
iajs-2378	130	12	set	set	VERB
iajs-2378	130	13	=	=	PUNCT
iajs-2378	130	14	particle	particle	NOUN
iajs-2378	130	15	's	's	PART
iajs-2378	130	16	index	index	NOUN
iajs-2378	130	17	.	.	PUNCT
iajs-2378	131	1	step	step	NOUN
iajs-2378	131	2	5	5	NUM
iajs-2378	131	3	:	:	PUNCT
iajs-2378	131	4	update	update	VERB
iajs-2378	131	5	the	the	DET
iajs-2378	131	6	velocity	velocity	NOUN
iajs-2378	131	7	by	by	ADP
iajs-2378	131	8	(	(	PUNCT
iajs-2378	131	9	3	3	NUM
iajs-2378	131	10	)	)	PUNCT
iajs-2378	131	11	and	and	CCONJ
iajs-2378	131	12	the	the	DET
iajs-2378	131	13	position	position	NOUN
iajs-2378	131	14	by	by	ADP
iajs-2378	131	15	(	(	PUNCT
iajs-2378	131	16	4	4	NUM
iajs-2378	131	17	)	)	PUNCT
iajs-2378	131	18	.	.	PUNCT
iajs-2378	132	1	step	step	NOUN
iajs-2378	132	2	6	6	NUM
iajs-2378	132	3	:	:	PUNCT
iajs-2378	132	4	go	go	VERB
iajs-2378	132	5	back	back	ADV
iajs-2378	132	6	to	to	PART
iajs-2378	132	7	step	step	NOUN
iajs-2378	132	8	2	2	NUM
iajs-2378	132	9	.	.	NUM
iajs-2378	132	10	125	125	NUM
iajs-2378	132	11	ibn	ibn	PROPN
iajs-2378	132	12	al	al	PROPN
iajs-2378	132	13	-	-	PUNCT
iajs-2378	132	14	haitham	haitham	PROPN
iajs-2378	132	15	jour	jour	X
iajs-2378	132	16	.	.	PROPN
iajs-2378	133	1	for	for	ADP
iajs-2378	133	2	pure	pure	ADJ
iajs-2378	133	3	&	&	CCONJ
iajs-2378	133	4	appl	appl	PROPN
iajs-2378	133	5	.	.	PUNCT
iajs-2378	134	1	sci	sci	PROPN
iajs-2378	134	2	.	.	PROPN
iajs-2378	135	1	33	33	NUM
iajs-2378	135	2	(	(	PUNCT
iajs-2378	135	3	1	1	NUM
iajs-2378	135	4	)	)	PUNCT
iajs-2378	135	5	2020	2020	NUM
iajs-2378	135	6	6	6	NUM
iajs-2378	135	7	.	.	PUNCT
iajs-2378	136	1	experimental	experimental	ADJ
iajs-2378	136	2	results	result	NOUN
iajs-2378	136	3	6.1	6.1	NUM
iajs-2378	136	4	.	.	PUNCT
iajs-2378	137	1	the	the	DET
iajs-2378	137	2	problems	problem	NOUN
iajs-2378	137	3	instances	instance	VERB
iajs-2378	137	4	:	:	PUNCT
iajs-2378	137	5	the	the	DET
iajs-2378	137	6	performance	performance	NOUN
iajs-2378	137	7	of	of	ADP
iajs-2378	137	8	the	the	DET
iajs-2378	137	9	(	(	PUNCT
iajs-2378	137	10	bab	bab	PROPN
iajs-2378	137	11	)	)	PUNCT
iajs-2378	137	12	procedure	procedure	NOUN
iajs-2378	137	13	is	be	AUX
iajs-2378	137	14	compared	compare	VERB
iajs-2378	137	15	on	on	ADP
iajs-2378	137	16	5	5	NUM
iajs-2378	137	17	problem	problem	NOUN
iajs-2378	137	18	instances	instance	NOUN
iajs-2378	137	19	,	,	PUNCT
iajs-2378	137	20	the	the	DET
iajs-2378	137	21	sizes	size	NOUN
iajs-2378	137	22	of	of	ADP
iajs-2378	137	23	these	these	DET
iajs-2378	137	24	examples	example	NOUN
iajs-2378	137	25	are	be	AUX
iajs-2378	137	26	n	n	PRON
iajs-2378	137	27	=	=	PUNCT
iajs-2378	138	1	[	[	X
iajs-2378	138	2	5	5	NUM
iajs-2378	138	3	,	,	PUNCT
iajs-2378	138	4	18	18	NUM
iajs-2378	138	5	]	]	PUNCT
iajs-2378	138	6	.	.	PUNCT
iajs-2378	139	1	the	the	DET
iajs-2378	139	2	problem	problem	NOUN
iajs-2378	139	3	instances	instance	NOUN
iajs-2378	139	4	were	be	AUX
iajs-2378	139	5	generated	generate	VERB
iajs-2378	139	6	randomly	randomly	ADV
iajs-2378	139	7	,	,	PUNCT
iajs-2378	139	8	and	and	CCONJ
iajs-2378	139	9	for	for	ADP
iajs-2378	139	10	each	each	DET
iajs-2378	139	11	job	job	NOUN
iajs-2378	139	12	where	where	SCONJ
iajs-2378	139	13	,	,	PUNCT
iajs-2378	139	14	the	the	DET
iajs-2378	139	15	processing	processing	NOUN
iajs-2378	139	16	time	time	NOUN
iajs-2378	139	17	was	be	AUX
iajs-2378	139	18	uniformly	uniformly	ADV
iajs-2378	139	19	generated	generate	VERB
iajs-2378	139	20	in	in	ADP
iajs-2378	139	21	[	[	X
iajs-2378	139	22	1	1	NUM
iajs-2378	139	23	,	,	PUNCT
iajs-2378	139	24	10	10	NUM
iajs-2378	139	25	]	]	PUNCT
iajs-2378	139	26	.	.	PUNCT
iajs-2378	140	1	while	while	SCONJ
iajs-2378	140	2	the	the	DET
iajs-2378	140	3	due	due	ADJ
iajs-2378	140	4	date	date	NOUN
iajs-2378	140	5	was	be	AUX
iajs-2378	140	6	uniformly	uniformly	ADV
iajs-2378	140	7	generated	generate	VERB
iajs-2378	140	8	in	in	ADP
iajs-2378	140	9	the	the	DET
iajs-2378	140	10	interval	interval	NOUN
iajs-2378	140	11	[	[	PUNCT
iajs-2378	140	12	]	]	X
iajs-2378	140	13	as	as	SCONJ
iajs-2378	140	14	it	it	PRON
iajs-2378	140	15	has	have	AUX
iajs-2378	140	16	been	be	AUX
iajs-2378	140	17	showed	show	VERB
iajs-2378	140	18	in	in	ADP
iajs-2378	140	19	the	the	DET
iajs-2378	140	20	literature	literature	NOUN
iajs-2378	141	1	[	[	X
iajs-2378	141	2	20	20	NUM
iajs-2378	141	3	]	]	PUNCT
iajs-2378	141	4	.	.	PUNCT
iajs-2378	142	1	where	where	SCONJ
iajs-2378	142	2	∑	∑	PUNCT
iajs-2378	142	3	and	and	CCONJ
iajs-2378	142	4	the	the	DET
iajs-2378	142	5	two	two	NUM
iajs-2378	142	6	parameters	parameter	NOUN
iajs-2378	142	7	(	(	PUNCT
iajs-2378	142	8	tp	tp	NOUN
iajs-2378	142	9	and	and	CCONJ
iajs-2378	142	10	rdd	rdd	NOUN
iajs-2378	142	11	)	)	PUNCT
iajs-2378	142	12	are	be	AUX
iajs-2378	142	13	said	say	VERB
iajs-2378	142	14	to	to	PART
iajs-2378	142	15	be	be	AUX
iajs-2378	142	16	the	the	DET
iajs-2378	142	17	tardiness	tardiness	ADJ
iajs-2378	142	18	factor	factor	NOUN
iajs-2378	142	19	and	and	CCONJ
iajs-2378	142	20	related	related	ADJ
iajs-2378	142	21	range	range	NOUN
iajs-2378	142	22	of	of	ADP
iajs-2378	142	23	due	due	ADJ
iajs-2378	142	24	dates	date	NOUN
iajs-2378	142	25	respectively	respectively	ADV
iajs-2378	142	26	,	,	PUNCT
iajs-2378	142	27	and	and	CCONJ
iajs-2378	142	28	have	have	VERB
iajs-2378	142	29	the	the	DET
iajs-2378	142	30	following	follow	VERB
iajs-2378	142	31	values	value	NOUN
iajs-2378	142	32	:	:	PUNCT
iajs-2378	142	33	and	and	CCONJ
iajs-2378	143	1	6.2	6.2	NUM
iajs-2378	143	2	.	.	PUNCT
iajs-2378	144	1	computational	computational	ADJ
iajs-2378	144	2	results	result	NOUN
iajs-2378	144	3	in	in	ADP
iajs-2378	144	4	this	this	DET
iajs-2378	144	5	subsection	subsection	NOUN
iajs-2378	144	6	,	,	PUNCT
iajs-2378	144	7	the	the	DET
iajs-2378	144	8	computational	computational	ADJ
iajs-2378	144	9	results	result	NOUN
iajs-2378	144	10	is	be	AUX
iajs-2378	144	11	given	give	VERB
iajs-2378	144	12	in	in	ADP
iajs-2378	144	13	tables	table	NOUN
iajs-2378	144	14	,	,	PUNCT
iajs-2378	144	15	each	each	DET
iajs-2378	144	16	table	table	NOUN
iajs-2378	144	17	of	of	ADP
iajs-2378	144	18	them	they	PRON
iajs-2378	144	19	gives	give	VERB
iajs-2378	144	20	the	the	DET
iajs-2378	144	21	results	result	NOUN
iajs-2378	144	22	.	.	PUNCT
iajs-2378	145	1	in	in	ADP
iajs-2378	145	2	table	table	NOUN
iajs-2378	145	3	1	1	X
iajs-2378	145	4	.	.	PUNCT
iajs-2378	146	1	we	we	PRON
iajs-2378	146	2	put	put	VERB
iajs-2378	146	3	the	the	DET
iajs-2378	146	4	comparison	comparison	NOUN
iajs-2378	146	5	among	among	ADP
iajs-2378	146	6	bab	bab	PROPN
iajs-2378	146	7	,	,	PUNCT
iajs-2378	146	8	ga	ga	PROPN
iajs-2378	146	9	and	and	CCONJ
iajs-2378	146	10	pso	pso	NOUN
iajs-2378	146	11	for	for	ADP
iajs-2378	146	12	n	n	NOUN
iajs-2378	146	13	=	=	PUNCT
iajs-2378	147	1	[	[	X
iajs-2378	147	2	5	5	NUM
iajs-2378	147	3	,	,	PUNCT
iajs-2378	147	4	18	18	NUM
iajs-2378	147	5	]	]	PUNCT
iajs-2378	147	6	.	.	PUNCT
iajs-2378	148	1	the	the	DET
iajs-2378	148	2	table	table	NOUN
iajs-2378	148	3	2	2	X
iajs-2378	148	4	.	.	PUNCT
iajs-2378	148	5	is	be	AUX
iajs-2378	148	6	contained	contain	VERB
iajs-2378	148	7	the	the	DET
iajs-2378	148	8	values	value	NOUN
iajs-2378	148	9	and	and	CCONJ
iajs-2378	148	10	times	time	NOUN
iajs-2378	148	11	by	by	ADP
iajs-2378	148	12	averages	average	NOUN
iajs-2378	148	13	for	for	ADP
iajs-2378	148	14	n	n	NOUN
iajs-2378	148	15	=	=	PUNCT
iajs-2378	149	1	[	[	X
iajs-2378	149	2	50	50	NUM
iajs-2378	149	3	,	,	PUNCT
iajs-2378	149	4	20000	20000	NUM
iajs-2378	149	5	]	]	PUNCT
iajs-2378	149	6	.	.	PUNCT
iajs-2378	150	1	for	for	ADP
iajs-2378	150	2	each	each	DET
iajs-2378	150	3	n	n	NOUN
iajs-2378	150	4	there	there	PRON
iajs-2378	150	5	is	be	VERB
iajs-2378	150	6	5	5	NUM
iajs-2378	150	7	problems	problem	NOUN
iajs-2378	150	8	examples	example	NOUN
iajs-2378	150	9	are	be	AUX
iajs-2378	150	10	tested	test	VERB
iajs-2378	150	11	.	.	PUNCT
iajs-2378	151	1	the	the	DET
iajs-2378	151	2	symbols	symbol	NOUN
iajs-2378	151	3	which	which	PRON
iajs-2378	151	4	used	use	VERB
iajs-2378	151	5	in	in	ADP
iajs-2378	151	6	the	the	DET
iajs-2378	151	7	tables	table	NOUN
iajs-2378	151	8	are	be	AUX
iajs-2378	151	9	:	:	PUNCT
iajs-2378	151	10	n	n	CCONJ
iajs-2378	151	11	:	:	PUNCT
iajs-2378	151	12	the	the	DET
iajs-2378	151	13	number	number	NOUN
iajs-2378	151	14	of	of	ADP
iajs-2378	151	15	jobs	job	NOUN
iajs-2378	151	16	,	,	PUNCT
iajs-2378	151	17	bab	bab	PROPN
iajs-2378	151	18	:	:	PUNCT
iajs-2378	151	19	the	the	DET
iajs-2378	151	20	branch	branch	NOUN
iajs-2378	151	21	and	and	CCONJ
iajs-2378	151	22	bound	bind	VERB
iajs-2378	151	23	method	method	NOUN
iajs-2378	151	24	,	,	PUNCT
iajs-2378	151	25	ga	ga	PROPN
iajs-2378	151	26	:	:	PUNCT
iajs-2378	151	27	the	the	DET
iajs-2378	151	28	genetic	genetic	ADJ
iajs-2378	151	29	algorithm	algorithm	NOUN
iajs-2378	151	30	,	,	PUNCT
iajs-2378	151	31	pso	pso	NOUN
iajs-2378	151	32	:	:	PUNCT
iajs-2378	151	33	the	the	DET
iajs-2378	151	34	particle	particle	NOUN
iajs-2378	151	35	swarm	swarm	NOUN
iajs-2378	151	36	optimization	optimization	NOUN
iajs-2378	151	37	,	,	PUNCT
iajs-2378	151	38	:	:	PUNCT
iajs-2378	151	39	the	the	DET
iajs-2378	151	40	average	average	NOUN
iajs-2378	151	41	of	of	ADP
iajs-2378	151	42	the	the	DET
iajs-2378	151	43	value	value	NOUN
iajs-2378	151	44	,	,	PUNCT
iajs-2378	151	45	:	:	PUNCT
iajs-2378	151	46	the	the	DET
iajs-2378	151	47	average	average	NOUN
iajs-2378	151	48	of	of	ADP
iajs-2378	151	49	the	the	DET
iajs-2378	151	50	execution	execution	NOUN
iajs-2378	151	51	time	time	NOUN
iajs-2378	151	52	of	of	ADP
iajs-2378	151	53	the	the	DET
iajs-2378	151	54	problem	problem	NOUN
iajs-2378	151	55	(	(	PUNCT
iajs-2378	151	56	by	by	ADP
iajs-2378	151	57	second	second	ADJ
iajs-2378	151	58	)	)	PUNCT
iajs-2378	151	59	.	.	PUNCT
iajs-2378	152	1	best	good	ADJ
iajs-2378	152	2	:	:	PUNCT
iajs-2378	152	3	the	the	DET
iajs-2378	152	4	best	good	ADJ
iajs-2378	152	5	(	(	PUNCT
iajs-2378	152	6	value	value	NOUN
iajs-2378	152	7	&	&	CCONJ
iajs-2378	152	8	time	time	NOUN
iajs-2378	152	9	)	)	PUNCT
iajs-2378	152	10	average	average	NOUN
iajs-2378	152	11	.	.	PUNCT
iajs-2378	153	1	no	no	INTJ
iajs-2378	153	2	.	.	PUNCT
iajs-2378	154	1	:	:	PUNCT
iajs-2378	154	2	the	the	DET
iajs-2378	154	3	number	number	NOUN
iajs-2378	154	4	of	of	ADP
iajs-2378	154	5	(	(	PUNCT
iajs-2378	154	6	*	*	PUNCT
iajs-2378	154	7	)	)	PUNCT
iajs-2378	154	8	and	and	CCONJ
iajs-2378	154	9	the	the	DET
iajs-2378	154	10	number	number	NOUN
iajs-2378	154	11	of	of	ADP
iajs-2378	154	12	(	(	PUNCT
iajs-2378	154	13	#	#	NOUN
iajs-2378	154	14	)	)	PUNCT
iajs-2378	154	15	.	.	PUNCT
iajs-2378	155	1	note	note	VERB
iajs-2378	155	2	:	:	PUNCT
iajs-2378	155	3	the	the	DET
iajs-2378	155	4	symbol	symbol	NOUN
iajs-2378	155	5	(	(	PUNCT
iajs-2378	155	6	*	*	NOUN
iajs-2378	155	7	)	)	PUNCT
iajs-2378	155	8	refers	refer	VERB
iajs-2378	155	9	to	to	ADP
iajs-2378	155	10	the	the	DET
iajs-2378	155	11	minimum	minimum	ADJ
iajs-2378	155	12	value	value	NOUN
iajs-2378	155	13	's	's	PART
iajs-2378	155	14	average	average	NOUN
iajs-2378	155	15	,	,	PUNCT
iajs-2378	155	16	and	and	CCONJ
iajs-2378	155	17	the	the	DET
iajs-2378	155	18	symbol	symbol	NOUN
iajs-2378	155	19	(	(	PUNCT
iajs-2378	155	20	#	#	NOUN
iajs-2378	155	21	)	)	PUNCT
iajs-2378	155	22	refers	refer	VERB
iajs-2378	155	23	to	to	ADP
iajs-2378	155	24	the	the	DET
iajs-2378	155	25	minimum	minimum	ADJ
iajs-2378	155	26	time	time	NOUN
iajs-2378	155	27	's	's	PART
iajs-2378	155	28	average	average	NOUN
iajs-2378	155	29	of	of	ADP
iajs-2378	155	30	each	each	PRON
iajs-2378	155	31	(	(	PUNCT
iajs-2378	155	32	n	n	CCONJ
iajs-2378	155	33	)	)	PUNCT
iajs-2378	155	34	.	.	PUNCT
iajs-2378	156	1	6.3	6.3	NUM
iajs-2378	156	2	.	.	PUNCT
iajs-2378	157	1	the	the	DET
iajs-2378	157	2	tables	table	NOUN
iajs-2378	157	3	of	of	ADP
iajs-2378	157	4	results	result	NOUN
iajs-2378	157	5	in	in	ADP
iajs-2378	157	6	table	table	NOUN
iajs-2378	157	7	1	1	NUM
iajs-2378	157	8	.	.	PUNCT
iajs-2378	158	1	the	the	DET
iajs-2378	158	2	results	result	NOUN
iajs-2378	158	3	of	of	ADP
iajs-2378	158	4	applying	apply	VERB
iajs-2378	158	5	(	(	PUNCT
iajs-2378	158	6	bab	bab	PROPN
iajs-2378	158	7	,	,	PUNCT
iajs-2378	158	8	ga	ga	PROPN
iajs-2378	158	9	and	and	CCONJ
iajs-2378	158	10	pso	pso	NOUN
iajs-2378	158	11	)	)	PUNCT
iajs-2378	158	12	are	be	AUX
iajs-2378	158	13	showed	show	VERB
iajs-2378	158	14	for	for	ADP
iajs-2378	158	15	n=	n=	ADJ
iajs-2378	158	16	[	[	X
iajs-2378	158	17	5	5	NUM
iajs-2378	158	18	,	,	PUNCT
iajs-2378	158	19	18	18	NUM
iajs-2378	158	20	]	]	PUNCT
iajs-2378	158	21	.	.	PUNCT
iajs-2378	159	1	jobs	job	NOUN
iajs-2378	159	2	.	.	PUNCT
iajs-2378	160	1	for	for	ADP
iajs-2378	160	2	each	each	DET
iajs-2378	160	3	n	n	NOUN
iajs-2378	160	4	there	there	PRON
iajs-2378	160	5	are	be	VERB
iajs-2378	160	6	5	5	NUM
iajs-2378	160	7	different	different	ADJ
iajs-2378	160	8	examples	example	NOUN
iajs-2378	160	9	are	be	AUX
iajs-2378	160	10	tested	test	VERB
iajs-2378	160	11	.	.	PUNCT
iajs-2378	161	1	these	these	DET
iajs-2378	161	2	results	result	NOUN
iajs-2378	161	3	showed	show	VERB
iajs-2378	161	4	that	that	SCONJ
iajs-2378	161	5	the	the	DET
iajs-2378	161	6	value	value	NOUN
iajs-2378	161	7	averages	average	VERB
iajs-2378	161	8	for	for	ADP
iajs-2378	161	9	n={5,6,7,8,9,10,11,12,15	n={5,6,7,8,9,10,11,12,15	PROPN
iajs-2378	161	10	}	}	PUNCT
iajs-2378	161	11	of	of	ADP
iajs-2378	161	12	using	use	VERB
iajs-2378	161	13	(	(	PUNCT
iajs-2378	161	14	bab	bab	PROPN
iajs-2378	161	15	and	and	CCONJ
iajs-2378	161	16	ga	ga	PROPN
iajs-2378	161	17	)	)	PUNCT
iajs-2378	161	18	are	be	AUX
iajs-2378	161	19	equal	equal	ADJ
iajs-2378	161	20	,	,	PUNCT
iajs-2378	161	21	while	while	SCONJ
iajs-2378	161	22	the	the	DET
iajs-2378	161	23	averages	average	NOUN
iajs-2378	161	24	of	of	ADP
iajs-2378	161	25	using	use	VERB
iajs-2378	161	26	(	(	PUNCT
iajs-2378	161	27	pso	pso	NOUN
iajs-2378	161	28	)	)	PUNCT
iajs-2378	161	29	are	be	AUX
iajs-2378	161	30	bigger	big	ADJ
iajs-2378	161	31	with	with	ADP
iajs-2378	161	32	small	small	ADJ
iajs-2378	161	33	differences	difference	NOUN
iajs-2378	161	34	.	.	PUNCT
iajs-2378	162	1	the	the	DET
iajs-2378	162	2	execution	execution	NOUN
iajs-2378	162	3	time	time	NOUN
iajs-2378	162	4	's	's	PART
iajs-2378	162	5	average	average	ADJ
iajs-2378	162	6	results	result	NOUN
iajs-2378	162	7	showed	show	VERB
iajs-2378	162	8	the	the	DET
iajs-2378	162	9	priority	priority	NOUN
iajs-2378	162	10	of	of	ADP
iajs-2378	162	11	(	(	PUNCT
iajs-2378	162	12	ga	ga	NOUN
iajs-2378	162	13	)	)	PUNCT
iajs-2378	162	14	among	among	ADP
iajs-2378	162	15	them	they	PRON
iajs-2378	162	16	(	(	PUNCT
iajs-2378	162	17	i.	i.	PROPN
iajs-2378	162	18	e.	e.	PROPN
iajs-2378	162	19	the	the	DET
iajs-2378	162	20	(	(	PUNCT
iajs-2378	162	21	ga	ga	NOUN
iajs-2378	162	22	)	)	PUNCT
iajs-2378	162	23	is	be	AUX
iajs-2378	162	24	faster	fast	ADJ
iajs-2378	162	25	than	than	ADP
iajs-2378	162	26	the	the	DET
iajs-2378	162	27	others	other	NOUN
iajs-2378	162	28	)	)	PUNCT
iajs-2378	162	29	.	.	PUNCT
iajs-2378	163	1	table	table	NOUN
iajs-2378	163	2	1	1	NUM
iajs-2378	163	3	:	:	PUNCT
iajs-2378	163	4	comparison	comparison	NOUN
iajs-2378	163	5	among	among	ADP
iajs-2378	163	6	bab	bab	PROPN
iajs-2378	163	7	,	,	PUNCT
iajs-2378	163	8	ga	ga	PROPN
iajs-2378	163	9	and	and	CCONJ
iajs-2378	163	10	pso	pso	NOUN
iajs-2378	163	11	.	.	PUNCT
iajs-2378	164	1	n	n	PROPN
iajs-2378	164	2	bab	bab	PROPN
iajs-2378	164	3	ga	ga	PROPN
iajs-2378	164	4	pso	pso	PROPN
iajs-2378	164	5	best	well	ADV
iajs-2378	164	6	5	5	NUM
iajs-2378	164	7	124.2	124.2	NUM
iajs-2378	164	8	*	*	PUNCT
iajs-2378	164	9	0.0777	0.0777	NUM
iajs-2378	164	10	124.2	124.2	NUM
iajs-2378	164	11	*	*	SYM
iajs-2378	164	12	0.0367	0.0367	NUM
iajs-2378	164	13	#	#	NOUN
iajs-2378	164	14	124.2	124.2	NUM
iajs-2378	164	15	*	*	PUNCT
iajs-2378	164	16	0.0949	0.0949	NUM
iajs-2378	165	1	124.2	124.2	NUM
iajs-2378	165	2	0.0367	0.0367	NUM
iajs-2378	165	3	6	6	NUM
iajs-2378	165	4	145	145	NUM
iajs-2378	165	5	*	*	NUM
iajs-2378	165	6	0.0877	0.0877	NUM
iajs-2378	165	7	145	145	NUM
iajs-2378	165	8	*	*	SYM
iajs-2378	165	9	0.0422	0.0422	NUM
iajs-2378	165	10	#	#	NOUN
iajs-2378	165	11	145	145	NUM
iajs-2378	165	12	*	*	PUNCT
iajs-2378	165	13	0.0975	0.0975	NUM
iajs-2378	165	14	145	145	NUM
iajs-2378	165	15	0.0422	0.0422	NUM
iajs-2378	165	16	7	7	NUM
iajs-2378	165	17	184.4	184.4	NUM
iajs-2378	165	18	*	*	NUM
iajs-2378	165	19	0.1559	0.1559	NUM
iajs-2378	165	20	184.4	184.4	NUM
iajs-2378	165	21	*	*	PUNCT
iajs-2378	165	22	0.0430	0.0430	NUM
iajs-2378	165	23	#	#	NOUN
iajs-2378	165	24	184.4	184.4	NUM
iajs-2378	165	25	*	*	PUNCT
iajs-2378	165	26	0.0900	0.0900	NUM
iajs-2378	165	27	184.4	184.4	NUM
iajs-2378	165	28	0.0430	0.0430	NUM
iajs-2378	165	29	8	8	NUM
iajs-2378	165	30	343	343	NUM
iajs-2378	165	31	*	*	NOUN
iajs-2378	165	32	0.1998	0.1998	NUM
iajs-2378	165	33	343	343	NUM
iajs-2378	165	34	*	*	SYM
iajs-2378	165	35	0.0421	0.0421	NUM
iajs-2378	165	36	#	#	NOUN
iajs-2378	165	37	343	343	NUM
iajs-2378	165	38	*	*	NOUN
iajs-2378	166	1	0.1145	0.1145	NUM
iajs-2378	166	2	343	343	NUM
iajs-2378	166	3	0.0421	0.0421	NUM
iajs-2378	166	4	9	9	NUM
iajs-2378	166	5	327.6	327.6	NUM
iajs-2378	166	6	*	*	NUM
iajs-2378	166	7	0.2573	0.2573	NUM
iajs-2378	166	8	327.6	327.6	NUM
iajs-2378	166	9	*	*	PUNCT
iajs-2378	166	10	0.0608	0.0608	NUM
iajs-2378	166	11	#	#	NOUN
iajs-2378	166	12	328.8	328.8	NUM
iajs-2378	166	13	0.1205	0.1205	NUM
iajs-2378	166	14	327.6	327.6	NUM
iajs-2378	166	15	0.0608	0.0608	NUM
iajs-2378	166	16	10	10	NUM
iajs-2378	166	17	432	432	NUM
iajs-2378	166	18	*	*	NOUN
iajs-2378	166	19	0.9539	0.9539	NUM
iajs-2378	166	20	432	432	NUM
iajs-2378	166	21	*	*	SYM
iajs-2378	166	22	0.0464	0.0464	NUM
iajs-2378	166	23	#	#	NOUN
iajs-2378	166	24	433.8	433.8	NUM
iajs-2378	166	25	0.0979	0.0979	NUM
iajs-2378	166	26	432	432	NUM
iajs-2378	166	27	0.0464	0.0464	NUM
iajs-2378	166	28	11	11	NUM
iajs-2378	166	29	469.6	469.6	NUM
iajs-2378	166	30	*	*	SYM
iajs-2378	166	31	1.8399	1.8399	NUM
iajs-2378	166	32	469.6	469.6	NUM
iajs-2378	166	33	*	*	SYM
iajs-2378	166	34	0.0415	0.0415	NUM
iajs-2378	166	35	#	#	NOUN
iajs-2378	166	36	469.8	469.8	NUM
iajs-2378	166	37	0.0903	0.0903	NUM
iajs-2378	166	38	469.6	469.6	NUM
iajs-2378	166	39	0.0415	0.0415	NUM
iajs-2378	166	40	126	126	NUM
iajs-2378	166	41	ibn	ibn	PROPN
iajs-2378	166	42	al	al	PROPN
iajs-2378	166	43	-	-	PUNCT
iajs-2378	166	44	haitham	haitham	PROPN
iajs-2378	166	45	jour	jour	X
iajs-2378	166	46	.	.	PROPN
iajs-2378	167	1	for	for	ADP
iajs-2378	167	2	pure	pure	ADJ
iajs-2378	167	3	&	&	CCONJ
iajs-2378	167	4	appl	appl	PROPN
iajs-2378	167	5	.	.	PUNCT
iajs-2378	168	1	sci	sci	PROPN
iajs-2378	168	2	.	.	PROPN
iajs-2378	169	1	33	33	NUM
iajs-2378	169	2	(	(	PUNCT
iajs-2378	169	3	1	1	NUM
iajs-2378	169	4	)	)	PUNCT
iajs-2378	169	5	2020	2020	NUM
iajs-2378	169	6	12	12	NUM
iajs-2378	169	7	658.6	658.6	NUM
iajs-2378	169	8	*	*	PUNCT
iajs-2378	169	9	2.6089	2.6089	NUM
iajs-2378	169	10	658.6	658.6	NUM
iajs-2378	169	11	*	*	PUNCT
iajs-2378	169	12	0.0530	0.0530	NUM
iajs-2378	169	13	#	#	NOUN
iajs-2378	169	14	659.6	659.6	NUM
iajs-2378	169	15	0.0894	0.0894	NUM
iajs-2378	169	16	658.6	658.6	NUM
iajs-2378	169	17	0.0530	0.0530	NUM
iajs-2378	169	18	13	13	NUM
iajs-2378	169	19	905	905	NUM
iajs-2378	169	20	*	*	NOUN
iajs-2378	169	21	11.4598	11.4598	NUM
iajs-2378	169	22	907.8	907.8	NUM
iajs-2378	169	23	0.0370	0.0370	NUM
iajs-2378	169	24	#	#	NOUN
iajs-2378	169	25	910.2	910.2	NUM
iajs-2378	169	26	0.0896	0.0896	NUM
iajs-2378	169	27	905	905	NUM
iajs-2378	169	28	0.0370	0.0370	NUM
iajs-2378	169	29	14	14	NUM
iajs-2378	169	30	773.2	773.2	NUM
iajs-2378	169	31	*	*	SYM
iajs-2378	169	32	26.6837	26.6837	NUM
iajs-2378	169	33	773.6	773.6	NUM
iajs-2378	169	34	0.0541	0.0541	NUM
iajs-2378	169	35	#	#	NOUN
iajs-2378	169	36	774.4	774.4	NUM
iajs-2378	169	37	0.1144	0.1144	NUM
iajs-2378	169	38	773.2	773.2	NUM
iajs-2378	169	39	0.0541	0.0541	NUM
iajs-2378	169	40	15	15	NUM
iajs-2378	169	41	905	905	NUM
iajs-2378	169	42	*	*	SYM
iajs-2378	169	43	109.5314	109.5314	NUM
iajs-2378	169	44	905	905	NUM
iajs-2378	169	45	*	*	PUNCT
iajs-2378	169	46	0.0456	0.0456	NUM
iajs-2378	169	47	#	#	NOUN
iajs-2378	169	48	909.6	909.6	NUM
iajs-2378	169	49	0.1090	0.1090	NUM
iajs-2378	169	50	905	905	NUM
iajs-2378	169	51	0.0456	0.0456	NUM
iajs-2378	169	52	16	16	NUM
iajs-2378	169	53	1053.4	1053.4	NUM
iajs-2378	169	54	*	*	SYM
iajs-2378	169	55	884.5501	884.5501	NUM
iajs-2378	169	56	1053.8	1053.8	NUM
iajs-2378	169	57	0.0383	0.0383	NUM
iajs-2378	169	58	#	#	NOUN
iajs-2378	169	59	1059.4	1059.4	NUM
iajs-2378	169	60	0.1078	0.1078	NUM
iajs-2378	169	61	1053.4	1053.4	NUM
iajs-2378	169	62	0.0383	0.0383	NUM
iajs-2378	169	63	17	17	NUM
iajs-2378	169	64	1147.8	1147.8	NUM
iajs-2378	169	65	*	*	PUNCT
iajs-2378	169	66	796.4961	796.4961	NUM
iajs-2378	169	67	1153.4	1153.4	NUM
iajs-2378	169	68	0.0470	0.0470	NUM
iajs-2378	169	69	#	#	NOUN
iajs-2378	169	70	1153.4	1153.4	NUM
iajs-2378	169	71	0.1008	0.1008	NUM
iajs-2378	169	72	1147.8	1147.8	NUM
iajs-2378	169	73	0.0470	0.0470	NUM
iajs-2378	169	74	18	18	NUM
iajs-2378	169	75	1298.2	1298.2	NUM
iajs-2378	169	76	*	*	NUM
iajs-2378	169	77	1.2675	1.2675	NUM
iajs-2378	169	78	1300.6	1300.6	NUM
iajs-2378	169	79	0.0528	0.0528	NUM
iajs-2378	169	80	#	#	NOUN
iajs-2378	169	81	1306.4	1306.4	NUM
iajs-2378	169	82	0.1100	0.1100	NUM
iajs-2378	169	83	1298.2	1298.2	NUM
iajs-2378	169	84	0.0528	0.0528	NUM
iajs-2378	169	85	no	no	NOUN
iajs-2378	169	86	.	.	NOUN
iajs-2378	169	87	14	14	NUM
iajs-2378	169	88	(	(	PUNCT
iajs-2378	169	89	*	*	NOUN
iajs-2378	169	90	)	)	PUNCT
iajs-2378	169	91	0	0	NUM
iajs-2378	169	92	(	(	PUNCT
iajs-2378	169	93	#	#	NOUN
iajs-2378	169	94	)	)	PUNCT
iajs-2378	169	95	9	9	NUM
iajs-2378	169	96	(	(	PUNCT
iajs-2378	169	97	*	*	NOUN
iajs-2378	169	98	)	)	PUNCT
iajs-2378	169	99	14	14	NUM
iajs-2378	169	100	(	(	PUNCT
iajs-2378	169	101	#	#	NOUN
iajs-2378	169	102	)	)	PUNCT
iajs-2378	169	103	4	4	NUM
iajs-2378	169	104	(	(	PUNCT
iajs-2378	169	105	*	*	NOUN
iajs-2378	169	106	)	)	PUNCT
iajs-2378	169	107	0	0	NUM
iajs-2378	169	108	(	(	PUNCT
iajs-2378	169	109	#	#	NOUN
iajs-2378	169	110	)	)	PUNCT
iajs-2378	169	111	in	in	ADP
iajs-2378	169	112	table	table	NOUN
iajs-2378	169	113	2	2	NUM
iajs-2378	169	114	.	.	PUNCT
iajs-2378	170	1	for	for	ADP
iajs-2378	170	2	each	each	PRON
iajs-2378	170	3	(	(	PUNCT
iajs-2378	170	4	n	n	CCONJ
iajs-2378	170	5	)	)	PUNCT
iajs-2378	170	6	there	there	PRON
iajs-2378	170	7	are	be	VERB
iajs-2378	170	8	(	(	PUNCT
iajs-2378	170	9	5	5	NUM
iajs-2378	170	10	)	)	PUNCT
iajs-2378	170	11	problems	problem	VERB
iajs-2378	170	12	examples	example	NOUN
iajs-2378	170	13	for	for	ADP
iajs-2378	170	14	testing	testing	NOUN
iajs-2378	170	15	.	.	PUNCT
iajs-2378	171	1	the	the	DET
iajs-2378	171	2	table	table	NOUN
iajs-2378	171	3	2	2	NUM
iajs-2378	171	4	.	.	PUNCT
iajs-2378	171	5	begins	begin	VERB
iajs-2378	171	6	with	with	ADP
iajs-2378	171	7	n	n	NOUN
iajs-2378	171	8	=	=	SYM
iajs-2378	171	9	50(50)100	50(50)100	PROPN
iajs-2378	171	10	,	,	PUNCT
iajs-2378	171	11	100(100)1000	100(100)1000	NUM
iajs-2378	171	12	,	,	PUNCT
iajs-2378	171	13	1000(1000)5000	1000(1000)5000	NUM
iajs-2378	171	14	,	,	PUNCT
iajs-2378	171	15	5000(5000)20000	5000(5000)20000	NUM
iajs-2378	171	16	.	.	PUNCT
iajs-2378	172	1	the	the	DET
iajs-2378	172	2	results	result	NOUN
iajs-2378	172	3	showed	show	VERB
iajs-2378	172	4	that	that	SCONJ
iajs-2378	172	5	value	value	NOUN
iajs-2378	172	6	's	's	PART
iajs-2378	172	7	averages	average	NOUN
iajs-2378	172	8	of	of	ADP
iajs-2378	172	9	(	(	PUNCT
iajs-2378	172	10	ga	ga	NOUN
iajs-2378	172	11	)	)	PUNCT
iajs-2378	172	12	are	be	AUX
iajs-2378	172	13	better	well	ADJ
iajs-2378	172	14	than	than	ADP
iajs-2378	172	15	the	the	DET
iajs-2378	172	16	(	(	PUNCT
iajs-2378	172	17	pso	pso	NOUN
iajs-2378	172	18	's	's	PART
iajs-2378	172	19	)	)	PUNCT
iajs-2378	172	20	averages	average	NOUN
iajs-2378	172	21	except	except	SCONJ
iajs-2378	172	22	when	when	SCONJ
iajs-2378	172	23	(	(	PUNCT
iajs-2378	172	24	n=600	n=600	NUM
iajs-2378	172	25	)	)	PUNCT
iajs-2378	172	26	jobs	job	NOUN
iajs-2378	172	27	.	.	PUNCT
iajs-2378	173	1	the	the	DET
iajs-2378	173	2	execution	execution	NOUN
iajs-2378	173	3	time	time	NOUN
iajs-2378	173	4	's	's	PART
iajs-2378	173	5	average	average	ADJ
iajs-2378	173	6	results	result	NOUN
iajs-2378	173	7	showed	show	VERB
iajs-2378	173	8	that	that	SCONJ
iajs-2378	173	9	the	the	DET
iajs-2378	173	10	(	(	PUNCT
iajs-2378	173	11	pso	pso	NOUN
iajs-2378	173	12	)	)	PUNCT
iajs-2378	173	13	is	be	AUX
iajs-2378	173	14	faster	fast	ADJ
iajs-2378	173	15	than	than	ADP
iajs-2378	173	16	(	(	PUNCT
iajs-2378	173	17	ga	ga	NOUN
iajs-2378	173	18	)	)	PUNCT
iajs-2378	173	19	in	in	ADP
iajs-2378	173	20	all	all	DET
iajs-2378	173	21	problems	problem	NOUN
iajs-2378	173	22	which	which	PRON
iajs-2378	173	23	are	be	AUX
iajs-2378	173	24	tested	test	VERB
iajs-2378	173	25	.	.	PUNCT
iajs-2378	174	1	table	table	NOUN
iajs-2378	174	2	2	2	NUM
iajs-2378	174	3	.	.	PUNCT
iajs-2378	175	1	the	the	DET
iajs-2378	175	2	averages	average	NOUN
iajs-2378	175	3	of	of	ADP
iajs-2378	175	4	the	the	DET
iajs-2378	175	5	(	(	PUNCT
iajs-2378	175	6	values	value	NOUN
iajs-2378	175	7	&	&	CCONJ
iajs-2378	175	8	times	time	NOUN
iajs-2378	175	9	)	)	PUNCT
iajs-2378	175	10	of	of	ADP
iajs-2378	175	11	(	(	PUNCT
iajs-2378	175	12	ga	ga	PROPN
iajs-2378	175	13	)	)	PUNCT
iajs-2378	175	14	and	and	CCONJ
iajs-2378	175	15	(	(	PUNCT
iajs-2378	175	16	pso	pso	NOUN
iajs-2378	175	17	)	)	PUNCT
iajs-2378	175	18	.	.	PUNCT
iajs-2378	176	1	n	n	PROPN
iajs-2378	176	2	ga	ga	PROPN
iajs-2378	177	1	p.so	p.so	VERB
iajs-2378	177	2	best	good	ADJ
iajs-2378	177	3	50	50	NUM
iajs-2378	177	4	8.7386	8.7386	NUM
iajs-2378	177	5	*	*	PUNCT
iajs-2378	177	6	0.2869	0.2869	NUM
iajs-2378	177	7	8.8758	8.8758	NUM
iajs-2378	177	8	0.0931	0.0931	NUM
iajs-2378	177	9	#	#	NOUN
iajs-2378	177	10	8.7386	8.7386	NUM
iajs-2378	177	11	0.0931	0.0931	NUM
iajs-2378	177	12	100	100	NUM
iajs-2378	177	13	3.2820	3.2820	NUM
iajs-2378	177	14	*	*	NOUN
iajs-2378	177	15	0.5605	0.5605	NUM
iajs-2378	177	16	3.3680	3.3680	NUM
iajs-2378	177	17	0.1092	0.1092	NUM
iajs-2378	177	18	#	#	NOUN
iajs-2378	177	19	3.2820	3.2820	NUM
iajs-2378	177	20	0.1092	0.1092	NUM
iajs-2378	177	21	200	200	NUM
iajs-2378	177	22	1.2328	1.2328	NUM
iajs-2378	177	23	*	*	PUNCT
iajs-2378	178	1	1.5239	1.5239	NUM
iajs-2378	178	2	1.3286	1.3286	NUM
iajs-2378	178	3	0.1832	0.1832	NUM
iajs-2378	178	4	#	#	NOUN
iajs-2378	178	5	1.2328	1.2328	NUM
iajs-2378	178	6	0.1832	0.1832	NUM
iajs-2378	178	7	300	300	NUM
iajs-2378	178	8	3.0913	3.0913	NUM
iajs-2378	178	9	*	*	PUNCT
iajs-2378	178	10	3.0638	3.0638	NUM
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iajs-2378	178	12	0.2609	0.2609	NUM
iajs-2378	178	13	#	#	NOUN
iajs-2378	178	14	3.0913	3.0913	NUM
iajs-2378	178	15	0.2609	0.2609	NUM
iajs-2378	178	16	400	400	NUM
iajs-2378	178	17	560652	560652	NUM
iajs-2378	178	18	*	*	PUNCT
iajs-2378	178	19	5.0216	5.0216	NUM
iajs-2378	178	20	5.7567	5.7567	NUM
iajs-2378	178	21	0.3218	0.3218	NUM
iajs-2378	178	22	#	#	NOUN
iajs-2378	178	23	560652	560652	NUM
iajs-2378	178	24	0.3218	0.3218	NUM
iajs-2378	178	25	500	500	NUM
iajs-2378	178	26	7.8883	7.8883	NUM
iajs-2378	178	27	*	*	PUNCT
iajs-2378	178	28	7.6416	7.6416	NUM
iajs-2378	178	29	8.4154	8.4154	NUM
iajs-2378	178	30	0.4022	0.4022	NUM
iajs-2378	178	31	#	#	NOUN
iajs-2378	178	32	7.8883	7.8883	NUM
iajs-2378	178	33	0.4022	0.4022	NUM
iajs-2378	178	34	600	600	NUM
iajs-2378	178	35	2.2137	2.2137	NUM
iajs-2378	178	36	10.7515	10.7515	NUM
iajs-2378	178	37	1.2308	1.2308	NUM
iajs-2378	178	38	*	*	SYM
iajs-2378	178	39	0.4589	0.4589	NUM
iajs-2378	178	40	#	#	NOUN
iajs-2378	178	41	1.2308	1.2308	NUM
iajs-2378	178	42	0.4589	0.4589	NUM
iajs-2378	178	43	700	700	NUM
iajs-2378	178	44	1.5772	1.5772	NUM
iajs-2378	178	45	*	*	SYM
iajs-2378	178	46	14.3291	14.3291	NUM
iajs-2378	178	47	1.6959	1.6959	NUM
iajs-2378	178	48	0.5702	0.5702	NUM
iajs-2378	178	49	#	#	SYM
iajs-2378	178	50	1.5772	1.5772	NUM
iajs-2378	178	51	0.5702	0.5702	NUM
iajs-2378	178	52	800	800	NUM
iajs-2378	178	53	1.9744	1.9744	NUM
iajs-2378	178	54	*	*	NUM
iajs-2378	178	55	18.4993	18.4993	NUM
iajs-2378	178	56	2.1872	2.1872	NUM
iajs-2378	178	57	0.6434	0.6434	NUM
iajs-2378	178	58	#	#	NOUN
iajs-2378	178	59	1.9744	1.9744	NUM
iajs-2378	178	60	0.6434	0.6434	NUM
iajs-2378	178	61	900	900	NUM
iajs-2378	178	62	2.8095	2.8095	NUM
iajs-2378	178	63	*	*	NUM
iajs-2378	178	64	23.3777	23.3777	NUM
iajs-2378	178	65	2.8550	2.8550	NUM
iajs-2378	178	66	0.6884	0.6884	NUM
iajs-2378	178	67	#	#	NOUN
iajs-2378	178	68	2.8095	2.8095	NUM
iajs-2378	178	69	0.6884	0.6884	NUM
iajs-2378	178	70	1000	1000	NUM
iajs-2378	178	71	3.2910	3.2910	NUM
iajs-2378	178	72	*	*	SYM
iajs-2378	178	73	31.1993	31.1993	NUM
iajs-2378	179	1	3.4474	3.4474	NUM
iajs-2378	179	2	0.7588	0.7588	NUM
iajs-2378	179	3	#	#	NOUN
iajs-2378	179	4	3.2910	3.2910	NUM
iajs-2378	179	5	0.7588	0.7588	NUM
iajs-2378	179	6	2000	2000	NUM
iajs-2378	179	7	1.2931	1.2931	NUM
iajs-2378	179	8	*	*	PUNCT
iajs-2378	179	9	111.7079	111.7079	NUM
iajs-2378	179	10	1.3696	1.3696	NUM
iajs-2378	179	11	1.5034	1.5034	NUM
iajs-2378	179	12	#	#	NOUN
iajs-2378	179	13	1.2931	1.2931	NUM
iajs-2378	179	14	1.5034	1.5034	NUM
iajs-2378	179	15	3000	3000	NUM
iajs-2378	179	16	3.0102	3.0102	NUM
iajs-2378	179	17	*	*	SYM
iajs-2378	179	18	264.6768	264.6768	NUM
iajs-2378	179	19	3.1087	3.1087	NUM
iajs-2378	179	20	2.4566	2.4566	NUM
iajs-2378	179	21	#	#	NOUN
iajs-2378	179	22	3.0102	3.0102	NUM
iajs-2378	179	23	2.4566	2.4566	NUM
iajs-2378	179	24	4000	4000	NUM
iajs-2378	179	25	5.1718	5.1718	NUM
iajs-2378	179	26	*	*	PUNCT
iajs-2378	179	27	537.8838	537.8838	NUM
iajs-2378	179	28	5.5883	5.5883	NUM
iajs-2378	179	29	4.0436	4.0436	NUM
iajs-2378	179	30	#	#	NOUN
iajs-2378	179	31	5.1718	5.1718	NUM
iajs-2378	179	32	4.0436	4.0436	NUM
iajs-2378	179	33	5000	5000	NUM
iajs-2378	179	34	8.5145	8.5145	NUM
iajs-2378	179	35	*	*	PUNCT
iajs-2378	179	36	603.6106	603.6106	NUM
iajs-2378	179	37	8.8628	8.8628	NUM
iajs-2378	179	38	3.6652	3.6652	NUM
iajs-2378	179	39	#	#	NOUN
iajs-2378	179	40	8.5145	8.5145	NUM
iajs-2378	179	41	3.6652	3.6652	NUM
iajs-2378	179	42	127	127	NUM
iajs-2378	179	43	ibn	ibn	PROPN
iajs-2378	179	44	al	al	PROPN
iajs-2378	179	45	-	-	PUNCT
iajs-2378	179	46	haitham	haitham	PROPN
iajs-2378	179	47	jour	jour	X
iajs-2378	179	48	.	.	PROPN
iajs-2378	179	49	for	for	ADP
iajs-2378	179	50	pure	pure	ADJ
iajs-2378	179	51	&	&	CCONJ
iajs-2378	179	52	appl	appl	PROPN
iajs-2378	179	53	.	.	PUNCT
iajs-2378	180	1	sci	sci	PROPN
iajs-2378	180	2	.	.	PROPN
iajs-2378	181	1	33	33	NUM
iajs-2378	181	2	(	(	PUNCT
iajs-2378	181	3	1	1	NUM
iajs-2378	181	4	)	)	PUNCT
iajs-2378	181	5	2020	2020	NUM
iajs-2378	181	6	10000	10000	NUM
iajs-2378	182	1	3.4796	3.4796	NUM
iajs-2378	182	2	*	*	SYM
iajs-2378	182	3	617.5982	617.5982	NUM
iajs-2378	182	4	352058926	352058926	NUM
iajs-2378	182	5	7.5153	7.5153	NUM
iajs-2378	182	6	#	#	NOUN
iajs-2378	182	7	3.4796	3.4796	NUM
iajs-2378	182	8	7.5153	7.5153	NUM
iajs-2378	182	9	15000	15000	NUM
iajs-2378	182	10	7.8295	7.8295	NUM
iajs-2378	182	11	*	*	PUNCT
iajs-2378	182	12	632.2623	632.2623	NUM
iajs-2378	182	13	7.8615	7.8615	NUM
iajs-2378	182	14	11.4529	11.4529	NUM
iajs-2378	182	15	#	#	NOUN
iajs-2378	182	16	7.8295	7.8295	NUM
iajs-2378	182	17	11.4529	11.4529	NUM
iajs-2378	182	18	20000	20000	NUM
iajs-2378	182	19	1.3522	1.3522	NUM
iajs-2378	182	20	*	*	SYM
iajs-2378	182	21	628.5472	628.5472	NUM
iajs-2378	182	22	1.3655	1.3655	NUM
iajs-2378	182	23	15.4144	15.4144	NUM
iajs-2378	182	24	#	#	NOUN
iajs-2378	182	25	1.3522	1.3522	NUM
iajs-2378	182	26	15.4144	15.4144	NUM
iajs-2378	182	27	no	no	NOUN
iajs-2378	182	28	.	.	PROPN
iajs-2378	182	29	17	17	NUM
iajs-2378	182	30	(	(	PUNCT
iajs-2378	182	31	*	*	NOUN
iajs-2378	182	32	)	)	PUNCT
iajs-2378	182	33	0	0	NUM
iajs-2378	182	34	(	(	PUNCT
iajs-2378	182	35	#	#	NOUN
iajs-2378	182	36	)	)	PUNCT
iajs-2378	182	37	1	1	NUM
iajs-2378	182	38	(	(	PUNCT
iajs-2378	182	39	*	*	NOUN
iajs-2378	182	40	)	)	PUNCT
iajs-2378	182	41	18	18	NUM
iajs-2378	182	42	(	(	PUNCT
iajs-2378	182	43	#	#	NOUN
iajs-2378	182	44	)	)	PUNCT
iajs-2378	182	45	7	7	NUM
iajs-2378	182	46	.	.	PUNCT
iajs-2378	182	47	conclusions	conclusion	NOUN
iajs-2378	182	48	in	in	ADP
iajs-2378	182	49	solving	solve	VERB
iajs-2378	182	50	the	the	DET
iajs-2378	182	51	problem	problem	NOUN
iajs-2378	182	52	a	a	PRON
iajs-2378	182	53	,	,	PUNCT
iajs-2378	182	54	two	two	NUM
iajs-2378	182	55	local	local	ADJ
iajs-2378	182	56	search	search	NOUN
iajs-2378	182	57	methods	method	NOUN
iajs-2378	182	58	(	(	PUNCT
iajs-2378	182	59	ga	ga	NOUN
iajs-2378	182	60	and	and	CCONJ
iajs-2378	182	61	pso	pso	NOUN
iajs-2378	182	62	)	)	PUNCT
iajs-2378	182	63	are	be	AUX
iajs-2378	182	64	used	use	VERB
iajs-2378	182	65	,	,	PUNCT
iajs-2378	182	66	the	the	DET
iajs-2378	182	67	results	result	NOUN
iajs-2378	182	68	showed	show	VERB
iajs-2378	182	69	that	that	SCONJ
iajs-2378	182	70	the	the	DET
iajs-2378	182	71	two	two	NUM
iajs-2378	182	72	methods	method	NOUN
iajs-2378	182	73	have	have	VERB
iajs-2378	182	74	a	a	DET
iajs-2378	182	75	good	good	ADJ
iajs-2378	182	76	efficiency	efficiency	NOUN
iajs-2378	182	77	in	in	ADP
iajs-2378	182	78	finding	find	VERB
iajs-2378	182	79	the	the	DET
iajs-2378	182	80	optimal	optimal	ADJ
iajs-2378	182	81	or	or	CCONJ
iajs-2378	182	82	near	near	ADP
iajs-2378	182	83	optimal	optimal	ADJ
iajs-2378	182	84	solutions	solution	NOUN
iajs-2378	182	85	comparing	compare	VERB
iajs-2378	182	86	with	with	ADP
iajs-2378	182	87	the	the	DET
iajs-2378	182	88	(	(	PUNCT
iajs-2378	182	89	bab	bab	PROPN
iajs-2378	182	90	)	)	PUNCT
iajs-2378	182	91	method	method	NOUN
iajs-2378	182	92	which	which	PRON
iajs-2378	182	93	is	be	AUX
iajs-2378	182	94	used	use	VERB
iajs-2378	182	95	,	,	PUNCT
iajs-2378	182	96	where	where	SCONJ
iajs-2378	182	97	(	(	PUNCT
iajs-2378	182	98	ga	ga	NOUN
iajs-2378	182	99	)	)	PUNCT
iajs-2378	182	100	showed	show	VERB
iajs-2378	182	101	that	that	SCONJ
iajs-2378	182	102	it	it	PRON
iajs-2378	182	103	has	have	AUX
iajs-2378	182	104	reached	reach	VERB
iajs-2378	182	105	the	the	DET
iajs-2378	182	106	optimal	optimal	ADJ
iajs-2378	182	107	solutions	solution	NOUN
iajs-2378	182	108	many	many	ADJ
iajs-2378	182	109	times	time	NOUN
iajs-2378	182	110	as	as	ADV
iajs-2378	182	111	well	well	ADV
iajs-2378	182	112	as	as	ADP
iajs-2378	182	113	the	the	DET
iajs-2378	182	114	(	(	PUNCT
iajs-2378	182	115	bab	bab	PROPN
iajs-2378	182	116	)	)	PUNCT
iajs-2378	182	117	,	,	PUNCT
iajs-2378	182	118	and	and	CCONJ
iajs-2378	182	119	the	the	DET
iajs-2378	182	120	(	(	PUNCT
iajs-2378	182	121	pso	pso	NOUN
iajs-2378	182	122	)	)	PUNCT
iajs-2378	182	123	showed	show	VERB
iajs-2378	182	124	the	the	DET
iajs-2378	182	125	advantage	advantage	NOUN
iajs-2378	182	126	in	in	ADP
iajs-2378	182	127	the	the	DET
iajs-2378	182	128	execution	execution	NOUN
iajs-2378	182	129	times	time	NOUN
iajs-2378	182	130	,	,	PUNCT
iajs-2378	182	131	where	where	SCONJ
iajs-2378	182	132	it	it	PRON
iajs-2378	182	133	is	be	AUX
iajs-2378	182	134	faster	fast	ADJ
iajs-2378	182	135	than	than	ADP
iajs-2378	182	136	(	(	PUNCT
iajs-2378	182	137	ga	ga	NOUN
iajs-2378	182	138	)	)	PUNCT
iajs-2378	182	139	in	in	ADP
iajs-2378	182	140	solving	solve	VERB
iajs-2378	182	141	the	the	DET
iajs-2378	182	142	problems	problem	NOUN
iajs-2378	182	143	.	.	PUNCT
iajs-2378	183	1	references	reference	NOUN
iajs-2378	183	2	1	1	NUM
iajs-2378	183	3	.	.	PUNCT
iajs-2378	183	4	michiels	michiel	NOUN
iajs-2378	183	5	,	,	PUNCT
iajs-2378	183	6	w.	w.	NOUN
iajs-2378	183	7	;	;	PUNCT
iajs-2378	183	8	aarts	aart	NOUN
iajs-2378	183	9	,	,	PUNCT
iajs-2378	183	10	e.	e.	PROPN
iajs-2378	183	11	;	;	PUNCT
iajs-2378	183	12	korst	korst	PROPN
iajs-2378	183	13	,	,	PUNCT
iajs-2378	183	14	j.	j.	PROPN
iajs-2378	183	15	theoretical	theoretical	ADJ
iajs-2378	183	16	aspects	aspect	NOUN
iajs-2378	183	17	of	of	ADP
iajs-2378	183	18	local	local	ADJ
iajs-2378	183	19	search	search	NOUN
iajs-2378	183	20	.	.	PUNCT
iajs-2378	184	1	isbn-13	isbn-13	PROPN
iajs-2378	184	2	978	978	NUM
iajs-2378	184	3	-	-	PUNCT
iajs-2378	184	4	3540	3540	NUM
iajs-2378	184	5	-	-	PUNCT
iajs-2378	184	6	35853	35853	NUM
iajs-2378	184	7	-	-	PUNCT
iajs-2378	184	8	4	4	NUM
iajs-2378	184	9	.	.	PUNCT
iajs-2378	184	10	springer	springer	NOUN
iajs-2378	184	11	.	.	PUNCT
iajs-2378	185	1	berlin	berlin	PROPN
iajs-2378	185	2	,	,	PUNCT
iajs-2378	185	3	heidelberg	heidelberg	PROPN
iajs-2378	185	4	.	.	PUNCT
iajs-2378	186	1	new	new	PROPN
iajs-2378	186	2	york.2000	york.2000	PROPN
iajs-2378	186	3	.	.	PROPN
iajs-2378	186	4	2	2	NUM
iajs-2378	186	5	.	.	X
iajs-2378	186	6	wu	wu	PROPN
iajs-2378	186	7	,	,	PUNCT
iajs-2378	186	8	c.	c.	PROPN
iajs-2378	186	9	;	;	PUNCT
iajs-2378	186	10	yin	yin	PROPN
iajs-2378	186	11	,	,	PUNCT
iajs-2378	186	12	y.	y.	PROPN
iajs-2378	186	13	;	;	PUNCT
iajs-2378	186	14	wu	wu	PROPN
iajs-2378	186	15	,	,	PUNCT
iajs-2378	186	16	w.	w.	PROPN
iajs-2378	186	17	;	;	PUNCT
iajs-2378	186	18	chen	chen	PROPN
iajs-2378	186	19	,	,	PUNCT
iajs-2378	186	20	h.	h.	PROPN
iajs-2378	186	21	;	;	PUNCT
iajs-2378	186	22	cheng	cheng	PROPN
iajs-2378	186	23	,	,	PUNCT
iajs-2378	186	24	s.	s.	PROPN
iajs-2378	186	25	using	use	VERB
iajs-2378	186	26	a	a	DET
iajs-2378	186	27	branch	branch	NOUN
iajs-2378	186	28	-	-	PUNCT
iajs-2378	186	29	and	and	CCONJ
iajs-2378	186	30	-	-	PUNCT
iajs-2378	186	31	bound	bind	VERB
iajs-2378	186	32	and	and	CCONJ
iajs-2378	186	33	a	a	DET
iajs-2378	186	34	genetic	genetic	ADJ
iajs-2378	186	35	algorithm	algorithm	NOUN
iajs-2378	186	36	for	for	ADP
iajs-2378	186	37	a	a	DET
iajs-2378	186	38	single	single	ADJ
iajs-2378	186	39	-	-	PUNCT
iajs-2378	186	40	machine	machine	NOUN
iajs-2378	186	41	total	total	NOUN
iajs-2378	186	42	late	late	ADJ
iajs-2378	186	43	work	work	NOUN
iajs-2378	186	44	scheduling	scheduling	NOUN
iajs-2378	186	45	problem	problem	NOUN
iajs-2378	186	46	.	.	PUNCT
iajs-2378	187	1	soft	soft	ADJ
iajs-2378	187	2	computing	compute	VERB
iajs-2378	187	3	a	a	DET
iajs-2378	187	4	fusion	fusion	NOUN
iajs-2378	187	5	of	of	ADP
iajs-2378	187	6	foundations	foundation	NOUN
iajs-2378	187	7	,	,	PUNCT
iajs-2378	187	8	methodologies	methodology	NOUN
iajs-2378	187	9	and	and	CCONJ
iajs-2378	187	10	applications.2016	applications.2016	PROPN
iajs-2378	187	11	,	,	PUNCT
iajs-2378	187	12	20	20	NUM
iajs-2378	187	13	,	,	PUNCT
iajs-2378	187	14	4	4	NUM
iajs-2378	187	15	,	,	PUNCT
iajs-2378	187	16	1329–1339	1329–1339	NUM
iajs-2378	187	17	.	.	PUNCT
iajs-2378	188	1	3	3	X
iajs-2378	188	2	.	.	X
iajs-2378	188	3	abdul	abdul	PROPN
iajs-2378	188	4	-	-	PUNCT
iajs-2378	188	5	razaq	razaq	PROPN
iajs-2378	188	6	,	,	PUNCT
iajs-2378	188	7	t.s	t.s	PROPN
iajs-2378	188	8	.	.	PROPN
iajs-2378	188	9	;	;	PUNCT
iajs-2378	188	10	abbas	abbas	PROPN
iajs-2378	188	11	,	,	PUNCT
iajs-2378	188	12	d.a	d.a	PROPN
iajs-2378	188	13	.	.	PROPN
iajs-2378	188	14	a	a	DET
iajs-2378	188	15	function	function	NOUN
iajs-2378	188	16	of	of	ADP
iajs-2378	188	17	two	two	NUM
iajs-2378	188	18	or	or	CCONJ
iajs-2378	188	19	three	three	NUM
iajs-2378	188	20	cost	cost	NOUN
iajs-2378	188	21	criteria	criterion	NOUN
iajs-2378	188	22	to	to	PART
iajs-2378	188	23	be	be	AUX
iajs-2378	188	24	optimized	optimize	VERB
iajs-2378	188	25	.	.	PUNCT
iajs-2378	189	1	almustansiriyah	almustansiriyah	PROPN
iajs-2378	189	2	journal	journal	PROPN
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iajs-2378	189	4	,	,	PUNCT
iajs-2378	189	5	24	24	NUM
iajs-2378	189	6	,	,	PUNCT
iajs-2378	189	7	2	2	NUM
iajs-2378	189	8	,	,	PUNCT
iajs-2378	189	9	113	113	NUM
iajs-2378	189	10	-	-	SYM
iajs-2378	189	11	132	132	NUM
iajs-2378	189	12	.	.	NOUN
iajs-2378	190	1	4	4	X
iajs-2378	190	2	.	.	X
iajs-2378	190	3	abdul	abdul	PROPN
iajs-2378	190	4	-	-	PUNCT
iajs-2378	190	5	razaq	razaq	PROPN
iajs-2378	190	6	,	,	PUNCT
iajs-2378	190	7	t.s	t.s	PROPN
iajs-2378	190	8	.	.	PROPN
iajs-2378	190	9	;	;	PUNCT
iajs-2378	190	10	ali	ali	PROPN
iajs-2378	190	11	,	,	PUNCT
iajs-2378	190	12	f.h	f.h	PROPN
iajs-2378	190	13	.	.	PROPN
iajs-2378	190	14	algorithms	algorithm	NOUN
iajs-2378	190	15	for	for	ADP
iajs-2378	190	16	scheduling	schedule	VERB
iajs-2378	190	17	a	a	DET
iajs-2378	190	18	single	single	ADJ
iajs-2378	190	19	machine	machine	NOUN
iajs-2378	190	20	to	to	PART
iajs-2378	190	21	minimize	minimize	VERB
iajs-2378	190	22	total	total	ADJ
iajs-2378	190	23	completion	completion	NOUN
iajs-2378	190	24	time	time	NOUN
iajs-2378	190	25	and	and	CCONJ
iajs-2378	190	26	total	total	ADJ
iajs-2378	190	27	tardiness	tardiness	NOUN
iajs-2378	190	28	.	.	PUNCT
iajs-2378	191	1	basrah	basrah	PROPN
iajs-2378	191	2	journal	journal	PROPN
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iajs-2378	191	4	science.2016	science.2016	PROPN
iajs-2378	191	5	,	,	PUNCT
iajs-2378	191	6	34	34	NUM
iajs-2378	191	7	,	,	PUNCT
iajs-2378	191	8	2	2	NUM
iajs-2378	191	9	,	,	PUNCT
iajs-2378	191	10	113132	113132	NUM
iajs-2378	191	11	.	.	PUNCT
iajs-2378	192	1	5	5	NUM
iajs-2378	192	2	.	.	X
iajs-2378	192	3	chachan	chachan	PROPN
iajs-2378	192	4	,	,	PUNCT
iajs-2378	192	5	h.	h.	PROPN
iajs-2378	192	6	a.	a.	NOUN
iajs-2378	192	7	solving	solve	VERB
iajs-2378	192	8	machine	machine	NOUN
iajs-2378	192	9	scheduling	scheduling	NOUN
iajs-2378	192	10	problem	problem	NOUN
iajs-2378	192	11	using	use	VERB
iajs-2378	192	12	particle	particle	NOUN
iajs-2378	192	13	swarm	swarm	NOUN
iajs-2378	192	14	optimization	optimization	NOUN
iajs-2378	192	15	method	method	NOUN
iajs-2378	192	16	.	.	PUNCT
iajs-2378	193	1	the	the	DET
iajs-2378	193	2	iraqi	iraqi	ADJ
iajs-2378	193	3	magazine	magazine	NOUN
iajs-2378	193	4	for	for	ADP
iajs-2378	193	5	managerial	managerial	ADJ
iajs-2378	193	6	sciences.2012	sciences.2012	PROPN
iajs-2378	193	7	,	,	PUNCT
iajs-2378	193	8	8	8	NUM
iajs-2378	193	9	,	,	PUNCT
iajs-2378	193	10	33	33	NUM
iajs-2378	193	11	,	,	PUNCT
iajs-2378	193	12	197	197	NUM
iajs-2378	193	13	-	-	SYM
iajs-2378	193	14	213	213	NUM
iajs-2378	193	15	.	.	NOUN
iajs-2378	193	16	6	6	NUM
iajs-2378	193	17	.	.	X
iajs-2378	194	1	abdul	abdul	PROPN
iajs-2378	194	2	-	-	PUNCT
iajs-2378	194	3	razaq	razaq	PROPN
iajs-2378	194	4	,	,	PUNCT
iajs-2378	194	5	t.s	t.s	PROPN
iajs-2378	194	6	.	.	PROPN
iajs-2378	194	7	;	;	PUNCT
iajs-2378	194	8	motair	motair	PROPN
iajs-2378	194	9	,	,	PUNCT
iajs-2378	194	10	h.m	h.m	PROPN
iajs-2378	194	11	.	.	NOUN
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iajs-2378	194	13	composite	composite	ADJ
iajs-2378	194	14	multi	multi	ADJ
iajs-2378	194	15	objective	objective	ADJ
iajs-2378	194	16	single	single	ADJ
iajs-2378	194	17	machine	machine	NOUN
iajs-2378	194	18	scheduling	scheduling	NOUN
iajs-2378	194	19	problem	problem	NOUN
iajs-2378	194	20	using	use	VERB
iajs-2378	194	21	branch	branch	NOUN
iajs-2378	194	22	and	and	CCONJ
iajs-2378	194	23	bound	bind	VERB
iajs-2378	194	24	and	and	CCONJ
iajs-2378	194	25	local	local	ADJ
iajs-2378	194	26	search	search	NOUN
iajs-2378	194	27	algorithms	algorithm	NOUN
iajs-2378	194	28	.	.	PUNCT
iajs-2378	195	1	almustansiriyah	almustansiriyah	PROPN
iajs-2378	195	2	journal	journal	PROPN
iajs-2378	195	3	of	of	ADP
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iajs-2378	195	5	,	,	PUNCT
iajs-2378	195	6	28	28	NUM
iajs-2378	195	7	,	,	PUNCT
iajs-2378	195	8	3	3	NUM
iajs-2378	195	9	,	,	PUNCT
iajs-2378	195	10	200	200	NUM
iajs-2378	195	11	-	-	SYM
iajs-2378	195	12	208	208	NUM
iajs-2378	195	13	.	.	PUNCT
iajs-2378	196	1	7	7	X
iajs-2378	196	2	.	.	X
iajs-2378	196	3	potts	potts	PROPN
iajs-2378	196	4	,	,	PUNCT
iajs-2378	196	5	c.n	c.n	PROPN
iajs-2378	196	6	.	.	PROPN
iajs-2378	196	7	;	;	PUNCT
iajs-2378	196	8	van	van	PROPN
iajs-2378	196	9	wassenhove	wassenhove	NOUN
iajs-2378	196	10	,	,	PUNCT
iajs-2378	196	11	l.n	l.n	PROPN
iajs-2378	196	12	.	.	PROPN
iajs-2378	196	13	single	single	ADJ
iajs-2378	196	14	machine	machine	NOUN
iajs-2378	196	15	scheduling	scheduling	NOUN
iajs-2378	196	16	to	to	PART
iajs-2378	196	17	minimize	minimize	VERB
iajs-2378	196	18	total	total	ADJ
iajs-2378	196	19	late	late	ADJ
iajs-2378	196	20	work	work	NOUN
iajs-2378	196	21	.	.	PUNCT
iajs-2378	197	1	operations	operation	NOUN
iajs-2378	197	2	research.1992	research.1992	PROPN
iajs-2378	197	3	,	,	PUNCT
iajs-2378	197	4	40	40	NUM
iajs-2378	197	5	,	,	PUNCT
iajs-2378	197	6	3	3	NUM
iajs-2378	197	7	,	,	PUNCT
iajs-2378	197	8	586	586	NUM
iajs-2378	197	9	-	-	SYM
iajs-2378	197	10	595	595	NUM
iajs-2378	197	11	.	.	PUNCT
iajs-2378	197	12	8	8	NUM
iajs-2378	197	13	.	.	X
iajs-2378	197	14	blazewicz	blazewicz	PROPN
iajs-2378	197	15	,	,	PUNCT
iajs-2378	197	16	j.	j.	PROPN
iajs-2378	197	17	;	;	PUNCT
iajs-2378	197	18	ecker	ecker	PROPN
iajs-2378	197	19	,	,	PUNCT
iajs-2378	197	20	k.h	k.h	PROPN
iajs-2378	197	21	.	.	PROPN
iajs-2378	197	22	;	;	PUNCT
iajs-2378	197	23	pesch	pesch	PROPN
iajs-2378	197	24	,	,	PUNCT
iajs-2378	197	25	e.	e.	PROPN
iajs-2378	197	26	;	;	PUNCT
iajs-2378	197	27	schmidt	schmidt	PROPN
iajs-2378	197	28	,	,	PUNCT
iajs-2378	197	29	g.	g.	PROPN
iajs-2378	197	30	;	;	PUNCT
iajs-2378	197	31	weglarz	weglarz	PROPN
iajs-2378	197	32	,	,	PUNCT
iajs-2378	197	33	j.	j.	PROPN
iajs-2378	197	34	handbook	handbook	PROPN
iajs-2378	197	35	on	on	ADP
iajs-2378	197	36	scheduling	scheduling	NOUN
iajs-2378	197	37	:	:	PUNCT
iajs-2378	197	38	from	from	ADP
iajs-2378	197	39	theory	theory	NOUN
iajs-2378	197	40	to	to	ADP
iajs-2378	197	41	applications	application	NOUN
iajs-2378	197	42	.	.	PUNCT
iajs-2378	198	1	springer	springer	NOUN
iajs-2378	198	2	.	.	PUNCT
iajs-2378	199	1	berlin	berlin	PROPN
iajs-2378	199	2	.	.	PUNCT
iajs-2378	200	1	heidelberg	heidelberg	PROPN
iajs-2378	200	2	.	.	PUNCT
iajs-2378	201	1	new	new	PROPN
iajs-2378	201	2	york	york	PROPN
iajs-2378	201	3	,	,	PUNCT
iajs-2378	201	4	2007	2007	NUM
iajs-2378	201	5	.	.	PUNCT
iajs-2378	202	1	9	9	X
iajs-2378	202	2	.	.	X
iajs-2378	202	3	mohammed	mohammed	PROPN
iajs-2378	202	4	,	,	PUNCT
iajs-2378	202	5	h.	h.	PROPN
iajs-2378	202	6	a.	a.	PROPN
iajs-2378	202	7	genetic	genetic	PROPN
iajs-2378	202	8	and	and	CCONJ
iajs-2378	202	9	local	local	ADJ
iajs-2378	202	10	search	search	NOUN
iajs-2378	202	11	algorithms	algorithm	NOUN
iajs-2378	202	12	as	as	ADP
iajs-2378	202	13	robust	robust	ADJ
iajs-2378	202	14	and	and	CCONJ
iajs-2378	202	15	simple	simple	ADJ
iajs-2378	202	16	optimization	optimization	NOUN
iajs-2378	202	17	tools	tool	NOUN
iajs-2378	202	18	.	.	PUNCT
iajs-2378	203	1	m.	m.	PROPN
iajs-2378	203	2	sc	sc	PROPN
iajs-2378	203	3	.	.	PUNCT
iajs-2378	204	1	thesis	thesis	NOUN
iajs-2378	204	2	.	.	PUNCT
iajs-2378	205	1	university	university	NOUN
iajs-2378	205	2	of	of	ADP
iajs-2378	205	3	al	al	PROPN
iajs-2378	205	4	-	-	PUNCT
iajs-2378	205	5	mustansiriyah	mustansiriyah	NOUN
iajs-2378	205	6	,	,	PUNCT
iajs-2378	205	7	college	college	NOUN
iajs-2378	205	8	of	of	ADP
iajs-2378	205	9	science	science	NOUN
iajs-2378	205	10	,	,	PUNCT
iajs-2378	205	11	department	department	NOUN
iajs-2378	205	12	of	of	ADP
iajs-2378	205	13	mathematics	mathematic	NOUN
iajs-2378	205	14	,	,	PUNCT
iajs-2378	205	15	2005	2005	NUM
iajs-2378	205	16	.	.	PUNCT
iajs-2378	206	1	https://booksc.xyz/journal/22430	https://booksc.xyz/journal/22430	NOUN
iajs-2378	206	2	https://booksc.xyz/journal/22430	https://booksc.xyz/journal/22430	NOUN
iajs-2378	206	3	128	128	NUM
iajs-2378	206	4	ibn	ibn	PROPN
iajs-2378	206	5	al	al	PROPN
iajs-2378	206	6	-	-	PUNCT
iajs-2378	206	7	haitham	haitham	PROPN
iajs-2378	206	8	jour	jour	X
iajs-2378	206	9	.	.	PROPN
iajs-2378	206	10	for	for	ADP
iajs-2378	206	11	pure	pure	ADJ
iajs-2378	206	12	&	&	CCONJ
iajs-2378	206	13	appl	appl	PROPN
iajs-2378	206	14	.	.	PUNCT
iajs-2378	207	1	sci	sci	PROPN
iajs-2378	207	2	.	.	PROPN
iajs-2378	208	1	33	33	NUM
iajs-2378	208	2	(	(	PUNCT
iajs-2378	208	3	1	1	NUM
iajs-2378	208	4	)	)	PUNCT
iajs-2378	208	5	2020	2020	NUM
iajs-2378	208	6	10	10	NUM
iajs-2378	208	7	.	.	PUNCT
iajs-2378	209	1	ramadhan	ramadhan	PROPN
iajs-2378	209	2	,	,	PUNCT
iajs-2378	209	3	a.m.	a.m.	NOUN
iajs-2378	210	1	single	single	ADJ
iajs-2378	210	2	machine	machine	NOUN
iajs-2378	210	3	scheduling	scheduling	NOUN
iajs-2378	210	4	using	use	VERB
iajs-2378	210	5	branch	branch	NOUN
iajs-2378	210	6	and	and	CCONJ
iajs-2378	210	7	bound	bound	ADJ
iajs-2378	210	8	techniques	technique	NOUN
iajs-2378	210	9	.	.	PUNCT
iajs-2378	211	1	m.	m.	PROPN
iajs-2378	211	2	sc	sc	PROPN
iajs-2378	211	3	.	.	PUNCT
iajs-2378	212	1	thesis	thesis	NOUN
iajs-2378	212	2	.	.	PUNCT
iajs-2378	213	1	university	university	NOUN
iajs-2378	213	2	of	of	ADP
iajs-2378	213	3	al	al	PROPN
iajs-2378	213	4	-	-	PUNCT
iajs-2378	213	5	mustansiriyah	mustansiriyah	NOUN
iajs-2378	213	6	,	,	PUNCT
iajs-2378	213	7	college	college	NOUN
iajs-2378	213	8	of	of	ADP
iajs-2378	213	9	science	science	NOUN
iajs-2378	213	10	,	,	PUNCT
iajs-2378	213	11	department	department	NOUN
iajs-2378	213	12	of	of	ADP
iajs-2378	213	13	mathematics	mathematic	NOUN
iajs-2378	213	14	,	,	PUNCT
iajs-2378	213	15	1998	1998	NUM
iajs-2378	213	16	.	.	PUNCT
iajs-2378	214	1	11	11	NUM
iajs-2378	214	2	.	.	PUNCT
iajs-2378	215	1	chen	chen	PROPN
iajs-2378	215	2	,	,	PUNCT
iajs-2378	215	3	z.	z.	PROPN
iajs-2378	215	4	;	;	PUNCT
iajs-2378	215	5	tsai	tsai	PROPN
iajs-2378	215	6	,	,	PUNCT
iajs-2378	215	7	c.	c.	PROPN
iajs-2378	215	8	;	;	PUNCT
iajs-2378	215	9	eberle	eberle	PROPN
iajs-2378	215	10	,	,	PUNCT
iajs-2378	215	11	w.	w.	PROPN
iajs-2378	215	12	;	;	PUNCT
iajs-2378	215	13	lin	lin	PROPN
iajs-2378	215	14	,	,	PUNCT
iajs-2378	215	15	w.	w.	PROPN
iajs-2378	215	16	;	;	PUNCT
iajs-2378	215	17	ke	ke	PROPN
iajs-2378	215	18	,	,	PUNCT
iajs-2378	215	19	s.	s.	PROPN
iajs-2378	215	20	instance	instance	PROPN
iajs-2378	215	21	selection	selection	NOUN
iajs-2378	215	22	by	by	ADP
iajs-2378	215	23	genetic	genetic	NOUN
iajs-2378	215	24	-	-	PUNCT
iajs-2378	215	25	based	base	VERB
iajs-2378	215	26	biological	biological	ADJ
iajs-2378	215	27	algorithm	algorithm	NOUN
iajs-2378	215	28	.	.	PUNCT
iajs-2378	216	1	soft	soft	ADJ
iajs-2378	216	2	computing.2014	computing.2014	PROPN
iajs-2378	216	3	,	,	PUNCT
iajs-2378	216	4	19	19	NUM
iajs-2378	216	5	,	,	PUNCT
iajs-2378	216	6	5	5	NUM
iajs-2378	216	7	,	,	PUNCT
iajs-2378	216	8	1269–1282	1269–1282	NUM
iajs-2378	216	9	.	.	PUNCT
iajs-2378	216	10	12	12	NUM
iajs-2378	216	11	.	.	PUNCT
iajs-2378	217	1	essafi	essafi	PROPN
iajs-2378	217	2	,	,	PUNCT
iajs-2378	217	3	i.	i.	PROPN
iajs-2378	217	4	;	;	PUNCT
iajs-2378	217	5	mati	mati	PROPN
iajs-2378	217	6	,	,	PUNCT
iajs-2378	217	7	y.	y.	PROPN
iajs-2378	217	8	;	;	PUNCT
iajs-2378	217	9	dauzere	dauzere	NOUN
iajs-2378	217	10	-	-	PUNCT
iajs-2378	217	11	peres	peres	PROPN
iajs-2378	217	12	,	,	PUNCT
iajs-2378	217	13	s.	s.	PROPN
iajs-2378	217	14	a	a	DET
iajs-2378	217	15	genetic	genetic	ADJ
iajs-2378	217	16	local	local	ADJ
iajs-2378	217	17	search	search	NOUN
iajs-2378	217	18	algorithm	algorithm	NOUN
iajs-2378	217	19	for	for	ADP
iajs-2378	217	20	minimizing	minimize	VERB
iajs-2378	217	21	total	total	NOUN
iajs-2378	217	22	weighted	weight	VERB
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iajs-2378	217	24	in	in	ADP
iajs-2378	217	25	the	the	DET
iajs-2378	217	26	job	job	NOUN
iajs-2378	217	27	-	-	PUNCT
iajs-2378	217	28	shop	shop	NOUN
iajs-2378	217	29	scheduling	scheduling	NOUN
iajs-2378	217	30	problem	problem	NOUN
iajs-2378	217	31	.	.	PUNCT
iajs-2378	218	1	computers	computer	NOUN
iajs-2378	218	2	&	&	CCONJ
iajs-2378	218	3	operations	operations	PROPN
iajs-2378	218	4	research.2008	research.2008	PROPN
iajs-2378	218	5	,	,	PUNCT
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iajs-2378	218	7	,	,	PUNCT
iajs-2378	218	8	8	8	NUM
iajs-2378	218	9	,	,	PUNCT
iajs-2378	218	10	2599	2599	NUM
iajs-2378	218	11	–	–	PUNCT
iajs-2378	218	12	2616	2616	NUM
iajs-2378	218	13	.	.	PUNCT
iajs-2378	219	1	13	13	NUM
iajs-2378	219	2	.	.	PUNCT
iajs-2378	219	3	etiler	etiler	NOUN
iajs-2378	219	4	,	,	PUNCT
iajs-2378	219	5	o.	o.	PROPN
iajs-2378	219	6	;	;	PUNCT
iajs-2378	219	7	toklu	toklu	PROPN
iajs-2378	219	8	,	,	PUNCT
iajs-2378	219	9	b.	b.	PROPN
iajs-2378	219	10	;	;	PUNCT
iajs-2378	219	11	atak	atak	PROPN
iajs-2378	219	12	,	,	PUNCT
iajs-2378	219	13	m.	m.	NOUN
iajs-2378	219	14	;	;	PUNCT
iajs-2378	219	15	wilson	wilson	PROPN
iajs-2378	219	16	,	,	PUNCT
iajs-2378	219	17	j.	j.	PROPN
iajs-2378	219	18	a	a	DET
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iajs-2378	219	21	for	for	ADP
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iajs-2378	219	26	.	.	PUNCT
iajs-2378	220	1	journal	journal	NOUN
iajs-2378	220	2	of	of	ADP
iajs-2378	220	3	the	the	DET
iajs-2378	220	4	operational	operational	ADJ
iajs-2378	220	5	research	research	PROPN
iajs-2378	220	6	society.2004	society.2004	PROPN
iajs-2378	220	7	,	,	PUNCT
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iajs-2378	220	9	,	,	PUNCT
iajs-2378	220	10	830–835	830–835	NUM
iajs-2378	220	11	.	.	PUNCT
iajs-2378	221	1	14	14	NUM
iajs-2378	221	2	.	.	X
iajs-2378	222	1	iyer	iyer	PROPN
iajs-2378	222	2	,	,	PUNCT
iajs-2378	222	3	s.k	s.k	PROPN
iajs-2378	222	4	.	.	PROPN
iajs-2378	222	5	;	;	PUNCT
iajs-2378	222	6	saxena	saxena	PROPN
iajs-2378	222	7	,	,	PUNCT
iajs-2378	222	8	b.	b.	PROPN
iajs-2378	222	9	improved	improve	VERB
iajs-2378	222	10	genetic	genetic	ADJ
iajs-2378	222	11	algorithm	algorithm	NOUN
iajs-2378	222	12	for	for	ADP
iajs-2378	222	13	the	the	DET
iajs-2378	222	14	permutation	permutation	NOUN
iajs-2378	222	15	flowshop	flowshop	NOUN
iajs-2378	222	16	scheduling	scheduling	NOUN
iajs-2378	222	17	problem	problem	NOUN
iajs-2378	222	18	.	.	PUNCT
iajs-2378	223	1	computers	computer	NOUN
iajs-2378	223	2	&	&	CCONJ
iajs-2378	223	3	operations	operations	PROPN
iajs-2378	223	4	research.2004	research.2004	PROPN
iajs-2378	223	5	,	,	PUNCT
iajs-2378	223	6	31	31	NUM
iajs-2378	223	7	,	,	PUNCT
iajs-2378	223	8	593–606	593–606	NUM
iajs-2378	223	9	.	.	PUNCT
iajs-2378	223	10	15	15	NUM
iajs-2378	223	11	.	.	PUNCT
iajs-2378	224	1	reeves	reeves	PROPN
iajs-2378	224	2	,	,	PUNCT
iajs-2378	224	3	c.	c.	PROPN
iajs-2378	224	4	r.	r.	PROPN
iajs-2378	224	5	a	a	DET
iajs-2378	224	6	genetic	genetic	ADJ
iajs-2378	224	7	algorithm	algorithm	NOUN
iajs-2378	224	8	for	for	ADP
iajs-2378	224	9	flow	flow	NOUN
iajs-2378	224	10	shop	shop	NOUN
iajs-2378	224	11	sequencing	sequence	VERB
iajs-2378	224	12	.	.	PUNCT
iajs-2378	225	1	computers	computer	NOUN
iajs-2378	225	2	and	and	CCONJ
iajs-2378	225	3	operations	operation	NOUN
iajs-2378	225	4	research.1995	research.1995	PROPN
iajs-2378	225	5	,	,	PUNCT
iajs-2378	225	6	22	22	NUM
iajs-2378	225	7	,	,	PUNCT
iajs-2378	225	8	1	1	NUM
iajs-2378	225	9	,	,	PUNCT
iajs-2378	225	10	5	5	NUM
iajs-2378	225	11	-	-	SYM
iajs-2378	225	12	13	13	NUM
iajs-2378	225	13	.	.	PUNCT
iajs-2378	225	14	16	16	NUM
iajs-2378	225	15	.	.	PUNCT
iajs-2378	226	1	nordstorm	nordstorm	PROPN
iajs-2378	226	2	,	,	PUNCT
iajs-2378	226	3	a.	a.	NOUN
iajs-2378	226	4	;	;	PUNCT
iajs-2378	226	5	tufekci	tufekci	PROPN
iajs-2378	226	6	,	,	PUNCT
iajs-2378	226	7	s.	s.	PROPN
iajs-2378	226	8	a	a	DET
iajs-2378	226	9	genetic	genetic	ADJ
iajs-2378	226	10	algorithm	algorithm	NOUN
iajs-2378	226	11	for	for	ADP
iajs-2378	226	12	the	the	DET
iajs-2378	226	13	talent	talent	NOUN
iajs-2378	226	14	scheduling	scheduling	NOUN
iajs-2378	226	15	problem	problem	NOUN
iajs-2378	226	16	.	.	PUNCT
iajs-2378	227	1	computers	computer	NOUN
iajs-2378	227	2	and	and	CCONJ
iajs-2378	227	3	operations	operation	NOUN
iajs-2378	227	4	research.1994	research.1994	PROPN
iajs-2378	227	5	,	,	PUNCT
iajs-2378	227	6	21	21	NUM
iajs-2378	227	7	,	,	PUNCT
iajs-2378	227	8	8	8	NUM
iajs-2378	227	9	,	,	PUNCT
iajs-2378	227	10	927	927	NUM
iajs-2378	227	11	-	-	SYM
iajs-2378	227	12	940	940	NUM
iajs-2378	227	13	.	.	PUNCT
iajs-2378	228	1	17	17	NUM
iajs-2378	228	2	.	.	PUNCT
iajs-2378	229	1	eberhart	eberhart	PROPN
iajs-2378	229	2	,	,	PUNCT
iajs-2378	229	3	r.	r.	PROPN
iajs-2378	229	4	;	;	PUNCT
iajs-2378	229	5	kennedy	kennedy	PROPN
iajs-2378	229	6	,	,	PUNCT
iajs-2378	229	7	j.	j.	PROPN
iajs-2378	229	8	a	a	DET
iajs-2378	229	9	new	new	ADJ
iajs-2378	229	10	optimizer	optimizer	NOUN
iajs-2378	229	11	using	use	VERB
iajs-2378	229	12	particle	particle	NOUN
iajs-2378	229	13	swarm	swarm	NOUN
iajs-2378	229	14	theory	theory	NOUN
iajs-2378	229	15	.	.	PUNCT
iajs-2378	230	1	in	in	ADP
iajs-2378	230	2	proceedings	proceeding	NOUN
iajs-2378	230	3	of	of	ADP
iajs-2378	230	4	the	the	DET
iajs-2378	230	5	6th	6th	ADJ
iajs-2378	230	6	symposium	symposium	NOUN
iajs-2378	230	7	on	on	ADP
iajs-2378	230	8	micro	micro	ADJ
iajs-2378	230	9	machine	machine	NOUN
iajs-2378	230	10	and	and	CCONJ
iajs-2378	230	11	human	human	ADJ
iajs-2378	230	12	science	science	NOUN
iajs-2378	230	13	,	,	PUNCT
iajs-2378	230	14	nagoya	nagoya	PROPN
iajs-2378	230	15	,	,	PUNCT
iajs-2378	230	16	japan.1995	japan.1995	PROPN
iajs-2378	230	17	,	,	PUNCT
iajs-2378	230	18	39	39	NUM
iajs-2378	230	19	-	-	SYM
iajs-2378	230	20	43	43	NUM
iajs-2378	230	21	.	.	PUNCT
iajs-2378	230	22	18	18	NUM
iajs-2378	230	23	.	.	PUNCT
iajs-2378	231	1	konstantinos	konstantinos	PROPN
iajs-2378	231	2	,	,	PUNCT
iajs-2378	231	3	e.p	e.p	PROPN
iajs-2378	231	4	.	.	PROPN
iajs-2378	231	5	;	;	PUNCT
iajs-2378	231	6	michael	michael	PROPN
iajs-2378	231	7	,	,	PUNCT
iajs-2378	231	8	n.v	n.v	PROPN
iajs-2378	231	9	.	.	PROPN
iajs-2378	231	10	particle	particle	NOUN
iajs-2378	231	11	swarm	swarm	NOUN
iajs-2378	231	12	optimization	optimization	NOUN
iajs-2378	231	13	and	and	CCONJ
iajs-2378	231	14	intelligence	intelligence	NOUN
iajs-2378	231	15	:	:	PUNCT
iajs-2378	231	16	advances	advance	NOUN
iajs-2378	231	17	and	and	CCONJ
iajs-2378	231	18	applications	application	NOUN
iajs-2378	231	19	.	.	PUNCT
iajs-2378	232	1	information	information	NOUN
iajs-2378	232	2	science	science	NOUN
iajs-2378	232	3	reference	reference	NOUN
iajs-2378	232	4	,	,	PUNCT
iajs-2378	232	5	hershey	hershey	PROPN
iajs-2378	232	6	,	,	PUNCT
iajs-2378	232	7	new	new	PROPN
iajs-2378	232	8	york,2010	york,2010	PROPN
iajs-2378	232	9	.	.	PROPN
iajs-2378	233	1	19	19	NUM
iajs-2378	233	2	.	.	PUNCT
iajs-2378	233	3	pongchairerks	pongchairerk	NOUN
iajs-2378	233	4	,	,	PUNCT
iajs-2378	233	5	p.	p.	NOUN
iajs-2378	233	6	particle	particle	NOUN
iajs-2378	233	7	swarm	swarm	NOUN
iajs-2378	233	8	optimization	optimization	NOUN
iajs-2378	233	9	algorithm	algorithm	NOUN
iajs-2378	233	10	applied	apply	VERB
iajs-2378	233	11	to	to	ADP
iajs-2378	233	12	scheduling	scheduling	NOUN
iajs-2378	233	13	problems	problem	NOUN
iajs-2378	233	14	.	.	PUNCT
iajs-2378	234	1	scienceasia.2009	scienceasia.2009	PROPN
iajs-2378	234	2	,	,	PUNCT
iajs-2378	234	3	35	35	NUM
iajs-2378	234	4	,	,	PUNCT
iajs-2378	234	5	89–94	89–94	NUM
iajs-2378	234	6	.	.	PUNCT
iajs-2378	235	1	20	20	NUM
iajs-2378	235	2	.	.	PUNCT
iajs-2378	235	3	arroyo	arroyo	PROPN
iajs-2378	235	4	,	,	PUNCT
iajs-2378	235	5	c.	c.	PROPN
iajs-2378	235	6	;	;	PUNCT
iajs-2378	235	7	elias	elias	PROPN
iajs-2378	235	8	,	,	PUNCT
iajs-2378	235	9	j.	j.	PROPN
iajs-2378	235	10	;	;	PUNCT
iajs-2378	235	11	ottoni	ottoni	PROPN
iajs-2378	235	12	,	,	PUNCT
iajs-2378	235	13	r.	r.	PROPN
iajs-2378	235	14	;	;	PUNCT
iajs-2378	235	15	oliveira	oliveira	PROPN
iajs-2378	235	16	,	,	PUNCT
iajs-2378	235	17	a.	a.	PROPN
iajs-2378	235	18	multi	multi	ADJ
iajs-2378	235	19	-	-	ADJ
iajs-2378	235	20	objective	objective	ADJ
iajs-2378	235	21	variable	variable	ADJ
iajs-2378	235	22	neighborhood	neighborhood	NOUN
iajs-2378	235	23	search	search	NOUN
iajs-2378	235	24	algorithms	algorithm	NOUN
iajs-2378	235	25	for	for	ADP
iajs-2378	235	26	a	a	DET
iajs-2378	235	27	single	single	ADJ
iajs-2378	235	28	machine	machine	NOUN
iajs-2378	235	29	scheduling	scheduling	NOUN
iajs-2378	235	30	problem	problem	NOUN
iajs-2378	235	31	with	with	ADP
iajs-2378	235	32	distinct	distinct	ADJ
iajs-2378	235	33	due	due	ADJ
iajs-2378	235	34	windows	window	NOUN
iajs-2378	235	35	.	.	PUNCT
iajs-2378	236	1	electronic	electronic	ADJ
iajs-2378	236	2	notes	note	NOUN
iajs-2378	236	3	in	in	ADP
iajs-2378	236	4	theoretical	theoretical	ADJ
iajs-2378	236	5	computer	computer	NOUN
iajs-2378	236	6	science.2011	science.2011	PROPN
iajs-2378	236	7	,	,	PUNCT
iajs-2378	236	8	28	28	NUM
iajs-2378	236	9	,	,	PUNCT
iajs-2378	236	10	15–19	15–19	NUM
iajs-2378	236	11	.	.	PUNCT