id	sid	tid	token	lemma	pos
ejpam-4780	1	1	european	european	PROPN
ejpam-4780	1	2	journal	journal	PROPN
ejpam-4780	1	3	of	of	ADP
ejpam-4780	1	4	pure	pure	ADJ
ejpam-4780	1	5	and	and	CCONJ
ejpam-4780	1	6	applied	apply	VERB
ejpam-4780	1	7	mathematics	mathematic	NOUN
ejpam-4780	1	8	vol	vol	NOUN
ejpam-4780	1	9	.	.	PUNCT
ejpam-4780	2	1	16	16	NUM
ejpam-4780	2	2	,	,	PUNCT
ejpam-4780	2	3	no	no	INTJ
ejpam-4780	2	4	.	.	NOUN
ejpam-4780	2	5	3	3	NUM
ejpam-4780	2	6	,	,	PUNCT
ejpam-4780	2	7	2023	2023	NUM
ejpam-4780	2	8	,	,	PUNCT
ejpam-4780	2	9	1608	1608	NUM
ejpam-4780	2	10	-	-	SYM
ejpam-4780	2	11	1623	1623	NUM
ejpam-4780	2	12	issn	issn	PROPN
ejpam-4780	2	13	1307	1307	NUM
ejpam-4780	2	14	-	-	SYM
ejpam-4780	2	15	5543	5543	NUM
ejpam-4780	2	16	–	–	PUNCT
ejpam-4780	2	17	ejpam.com	ejpam.com	X
ejpam-4780	2	18	published	publish	VERB
ejpam-4780	2	19	by	by	ADP
ejpam-4780	2	20	new	new	PROPN
ejpam-4780	2	21	york	york	PROPN
ejpam-4780	2	22	business	business	PROPN
ejpam-4780	2	23	global	global	ADJ
ejpam-4780	2	24	using	use	VERB
ejpam-4780	2	25	the	the	DET
ejpam-4780	2	26	modified	modify	VERB
ejpam-4780	2	27	artificial	artificial	ADJ
ejpam-4780	2	28	bee	bee	NOUN
ejpam-4780	2	29	colony	colony	NOUN
ejpam-4780	2	30	algorithm	algorithm	NOUN
ejpam-4780	2	31	to	to	PART
ejpam-4780	2	32	find	find	VERB
ejpam-4780	2	33	the	the	DET
ejpam-4780	2	34	non	non	ADJ
ejpam-4780	2	35	-	-	ADJ
ejpam-4780	2	36	archimedean	archimedean	ADJ
ejpam-4780	2	37	epsilon	epsilon	NOUN
ejpam-4780	2	38	for	for	ADP
ejpam-4780	2	39	evaluating	evaluate	VERB
ejpam-4780	2	40	the	the	DET
ejpam-4780	2	41	efficiency	efficiency	NOUN
ejpam-4780	2	42	in	in	ADP
ejpam-4780	2	43	dea	dea	PROPN
ejpam-4780	2	44	sara	sara	PROPN
ejpam-4780	2	45	zeidani1	zeidani1	PROPN
ejpam-4780	2	46	,	,	PUNCT
ejpam-4780	2	47	babak	babak	PROPN
ejpam-4780	2	48	asady2	asady2	PROPN
ejpam-4780	2	49	,	,	PUNCT
ejpam-4780	2	50	mohsen	mohsen	PROPN
ejpam-4780	2	51	rostamymalkhalifeh3,∗	rostamymalkhalifeh3,∗	PROPN
ejpam-4780	2	52	,	,	PUNCT
ejpam-4780	2	53	taher	taher	PROPN
ejpam-4780	2	54	lotfi1	lotfi1	NOUN
ejpam-4780	2	55	1	1	NUM
ejpam-4780	2	56	department	department	NOUN
ejpam-4780	2	57	of	of	ADP
ejpam-4780	2	58	mathematics	mathematic	NOUN
ejpam-4780	2	59	,	,	PUNCT
ejpam-4780	2	60	hamedan	hamedan	PROPN
ejpam-4780	2	61	branch	branch	PROPN
ejpam-4780	2	62	,	,	PUNCT
ejpam-4780	2	63	islamic	islamic	PROPN
ejpam-4780	2	64	azad	azad	PROPN
ejpam-4780	2	65	university	university	PROPN
ejpam-4780	2	66	,	,	PUNCT
ejpam-4780	2	67	hamedan	hamedan	PROPN
ejpam-4780	2	68	,	,	PUNCT
ejpam-4780	2	69	iran	iran	PROPN
ejpam-4780	2	70	2	2	NUM
ejpam-4780	2	71	department	department	NOUN
ejpam-4780	2	72	of	of	ADP
ejpam-4780	2	73	mathematics	mathematics	PROPN
ejpam-4780	2	74	,	,	PUNCT
ejpam-4780	2	75	arak	arak	PROPN
ejpam-4780	2	76	branch	branch	PROPN
ejpam-4780	2	77	,	,	PUNCT
ejpam-4780	2	78	islamic	islamic	PROPN
ejpam-4780	2	79	azad	azad	PROPN
ejpam-4780	2	80	university	university	PROPN
ejpam-4780	2	81	,	,	PUNCT
ejpam-4780	2	82	arak	arak	PROPN
ejpam-4780	2	83	,	,	PUNCT
ejpam-4780	2	84	iran	iran	PROPN
ejpam-4780	2	85	3	3	NUM
ejpam-4780	2	86	department	department	NOUN
ejpam-4780	2	87	of	of	ADP
ejpam-4780	2	88	mathematics	mathematic	NOUN
ejpam-4780	2	89	,	,	PUNCT
ejpam-4780	2	90	science	science	NOUN
ejpam-4780	2	91	and	and	CCONJ
ejpam-4780	2	92	research	research	NOUN
ejpam-4780	2	93	branch	branch	NOUN
ejpam-4780	2	94	,	,	PUNCT
ejpam-4780	2	95	islamic	islamic	PROPN
ejpam-4780	2	96	azad	azad	PROPN
ejpam-4780	2	97	university	university	PROPN
ejpam-4780	2	98	,	,	PUNCT
ejpam-4780	2	99	tehran	tehran	PROPN
ejpam-4780	2	100	,	,	PUNCT
ejpam-4780	2	101	iran	iran	PROPN
ejpam-4780	2	102	abstract	abstract	ADJ
ejpam-4780	2	103	.	.	PUNCT
ejpam-4780	3	1	the	the	DET
ejpam-4780	3	2	artificial	artificial	ADJ
ejpam-4780	3	3	bee	bee	PROPN
ejpam-4780	3	4	colony	colony	NOUN
ejpam-4780	3	5	algorithm	algorithm	NOUN
ejpam-4780	3	6	is	be	AUX
ejpam-4780	3	7	one	one	NUM
ejpam-4780	3	8	of	of	ADP
ejpam-4780	3	9	the	the	DET
ejpam-4780	3	10	population	population	NOUN
ejpam-4780	3	11	-	-	PUNCT
ejpam-4780	3	12	based	base	VERB
ejpam-4780	3	13	optimization	optimization	NOUN
ejpam-4780	3	14	methods	method	NOUN
ejpam-4780	3	15	inspired	inspire	VERB
ejpam-4780	3	16	by	by	ADP
ejpam-4780	3	17	the	the	DET
ejpam-4780	3	18	evolutionary	evolutionary	ADJ
ejpam-4780	3	19	principles	principle	NOUN
ejpam-4780	3	20	of	of	ADP
ejpam-4780	3	21	the	the	DET
ejpam-4780	3	22	social	social	ADJ
ejpam-4780	3	23	behavior	behavior	NOUN
ejpam-4780	3	24	of	of	ADP
ejpam-4780	3	25	bees	bee	NOUN
ejpam-4780	3	26	.	.	PUNCT
ejpam-4780	4	1	on	on	ADP
ejpam-4780	4	2	the	the	DET
ejpam-4780	4	3	other	other	ADJ
ejpam-4780	4	4	hand	hand	NOUN
ejpam-4780	4	5	,	,	PUNCT
ejpam-4780	4	6	one	one	NUM
ejpam-4780	4	7	of	of	ADP
ejpam-4780	4	8	the	the	DET
ejpam-4780	4	9	sub	sub	NOUN
ejpam-4780	4	10	-	-	NOUN
ejpam-4780	4	11	fields	field	NOUN
ejpam-4780	4	12	of	of	ADP
ejpam-4780	4	13	operations	operation	NOUN
ejpam-4780	4	14	research	research	NOUN
ejpam-4780	4	15	science	science	NOUN
ejpam-4780	4	16	is	be	AUX
ejpam-4780	4	17	data	datum	NOUN
ejpam-4780	4	18	envelopment	envelopment	ADJ
ejpam-4780	4	19	analysis	analysis	NOUN
ejpam-4780	4	20	.	.	PUNCT
ejpam-4780	5	1	there	there	PRON
ejpam-4780	5	2	are	be	VERB
ejpam-4780	5	3	some	some	DET
ejpam-4780	5	4	difficulties	difficulty	NOUN
ejpam-4780	5	5	in	in	ADP
ejpam-4780	5	6	dea	dea	NOUN
ejpam-4780	5	7	models	model	NOUN
ejpam-4780	5	8	for	for	ADP
ejpam-4780	5	9	selecting	select	VERB
ejpam-4780	5	10	the	the	DET
ejpam-4780	5	11	appropriate	appropriate	ADJ
ejpam-4780	5	12	numerical	numerical	ADJ
ejpam-4780	5	13	value	value	NOUN
ejpam-4780	5	14	for	for	ADP
ejpam-4780	5	15	an	an	DET
ejpam-4780	5	16	infinitesimal	infinitesimal	ADJ
ejpam-4780	5	17	non	non	ADJ
ejpam-4780	5	18	-	-	ADJ
ejpam-4780	5	19	archimedean	archimedean	ADJ
ejpam-4780	5	20	epsilon	epsilon	PROPN
ejpam-4780	5	21	.	.	PUNCT
ejpam-4780	6	1	so	so	ADV
ejpam-4780	6	2	far	far	ADV
ejpam-4780	6	3	,	,	PUNCT
ejpam-4780	6	4	various	various	ADJ
ejpam-4780	6	5	methods	method	NOUN
ejpam-4780	6	6	have	have	AUX
ejpam-4780	6	7	been	be	AUX
ejpam-4780	6	8	proposed	propose	VERB
ejpam-4780	6	9	to	to	PART
ejpam-4780	6	10	solve	solve	VERB
ejpam-4780	6	11	this	this	DET
ejpam-4780	6	12	problem	problem	NOUN
ejpam-4780	6	13	and	and	CCONJ
ejpam-4780	6	14	choose	choose	VERB
ejpam-4780	6	15	the	the	DET
ejpam-4780	6	16	suitable	suitable	ADJ
ejpam-4780	6	17	non	non	ADJ
ejpam-4780	6	18	-	-	ADJ
ejpam-4780	6	19	archimedean	archimedean	ADJ
ejpam-4780	6	20	epsilon	epsilon	PROPN
ejpam-4780	6	21	.	.	PUNCT
ejpam-4780	7	1	in	in	ADP
ejpam-4780	7	2	order	order	NOUN
ejpam-4780	7	3	to	to	PART
ejpam-4780	7	4	solve	solve	VERB
ejpam-4780	7	5	the	the	DET
ejpam-4780	7	6	problem	problem	NOUN
ejpam-4780	7	7	,	,	PUNCT
ejpam-4780	7	8	the	the	DET
ejpam-4780	7	9	artificial	artificial	ADJ
ejpam-4780	7	10	bee	bee	NOUN
ejpam-4780	7	11	colony	colony	NOUN
ejpam-4780	7	12	algorithm	algorithm	NOUN
ejpam-4780	7	13	(	(	PUNCT
ejpam-4780	7	14	abc	abc	PROPN
ejpam-4780	7	15	)	)	PUNCT
ejpam-4780	7	16	,	,	PUNCT
ejpam-4780	7	17	and	and	CCONJ
ejpam-4780	7	18	modification	modification	NOUN
ejpam-4780	7	19	of	of	ADP
ejpam-4780	7	20	the	the	DET
ejpam-4780	7	21	original	original	ADJ
ejpam-4780	7	22	abc	abc	PROPN
ejpam-4780	7	23	algorithm	algorithm	PROPN
ejpam-4780	7	24	(	(	PUNCT
ejpam-4780	7	25	mabc	mabc	PROPN
ejpam-4780	7	26	)	)	PUNCT
ejpam-4780	7	27	are	be	AUX
ejpam-4780	7	28	adopted	adopt	VERB
ejpam-4780	7	29	and	and	CCONJ
ejpam-4780	7	30	proposed	propose	VERB
ejpam-4780	7	31	in	in	ADP
ejpam-4780	7	32	this	this	DET
ejpam-4780	7	33	paper	paper	NOUN
ejpam-4780	7	34	.	.	PUNCT
ejpam-4780	8	1	the	the	DET
ejpam-4780	8	2	impacts	impact	NOUN
ejpam-4780	8	3	of	of	ADP
ejpam-4780	8	4	our	our	PRON
ejpam-4780	8	5	proposed	propose	VERB
ejpam-4780	8	6	algorithms	algorithm	NOUN
ejpam-4780	8	7	on	on	ADP
ejpam-4780	8	8	the	the	DET
ejpam-4780	8	9	suitable	suitable	ADJ
ejpam-4780	8	10	non	non	ADJ
ejpam-4780	8	11	-	-	ADJ
ejpam-4780	8	12	archimedean	archimedean	ADJ
ejpam-4780	8	13	epsilon	epsilon	NOUN
ejpam-4780	8	14	by	by	ADP
ejpam-4780	8	15	solving	solve	VERB
ejpam-4780	8	16	only	only	ADV
ejpam-4780	8	17	one	one	NUM
ejpam-4780	8	18	linear	linear	ADJ
ejpam-4780	8	19	programming	programming	NOUN
ejpam-4780	8	20	(	(	PUNCT
ejpam-4780	8	21	lp	lp	NOUN
ejpam-4780	8	22	)	)	PUNCT
ejpam-4780	8	23	,	,	PUNCT
ejpam-4780	8	24	instead	instead	ADV
ejpam-4780	8	25	of	of	ADP
ejpam-4780	8	26	n	n	PRON
ejpam-4780	8	27	lp	lp	NOUN
ejpam-4780	8	28	are	be	AUX
ejpam-4780	8	29	investigated	investigate	VERB
ejpam-4780	8	30	.	.	PUNCT
ejpam-4780	9	1	finally	finally	ADV
ejpam-4780	9	2	,	,	PUNCT
ejpam-4780	9	3	the	the	DET
ejpam-4780	9	4	performance	performance	NOUN
ejpam-4780	9	5	of	of	ADP
ejpam-4780	9	6	the	the	DET
ejpam-4780	9	7	proposed	propose	VERB
ejpam-4780	9	8	algorithms	algorithms	NOUN
ejpam-4780	9	9	is	be	AUX
ejpam-4780	9	10	evaluated	evaluate	VERB
ejpam-4780	9	11	by	by	ADP
ejpam-4780	9	12	comparing	compare	VERB
ejpam-4780	9	13	the	the	DET
ejpam-4780	9	14	solutions	solution	NOUN
ejpam-4780	9	15	obtained	obtain	VERB
ejpam-4780	9	16	from	from	ADP
ejpam-4780	9	17	gams	gams	PROPN
ejpam-4780	9	18	software	software	NOUN
ejpam-4780	9	19	based	base	VERB
ejpam-4780	9	20	on	on	ADP
ejpam-4780	9	21	the	the	DET
ejpam-4780	9	22	presented	present	VERB
ejpam-4780	9	23	examples	example	NOUN
ejpam-4780	9	24	.	.	PUNCT
ejpam-4780	10	1	2020	2020	NUM
ejpam-4780	10	2	mathematics	mathematic	NOUN
ejpam-4780	10	3	subject	subject	NOUN
ejpam-4780	10	4	classifications	classification	NOUN
ejpam-4780	10	5	:	:	PUNCT
ejpam-4780	10	6	90c08	90c08	NUM
ejpam-4780	10	7	,	,	PUNCT
ejpam-4780	10	8	68t20	68t20	NUM
ejpam-4780	10	9	,	,	PUNCT
ejpam-4780	10	10	68w20	68w20	NUM
ejpam-4780	10	11	key	key	ADJ
ejpam-4780	10	12	words	word	NOUN
ejpam-4780	10	13	and	and	CCONJ
ejpam-4780	10	14	phrases	phrase	NOUN
ejpam-4780	10	15	:	:	PUNCT
ejpam-4780	10	16	artificial	artificial	ADJ
ejpam-4780	10	17	bee	bee	NOUN
ejpam-4780	10	18	colony	colony	NOUN
ejpam-4780	10	19	algorithm	algorithm	NOUN
ejpam-4780	10	20	,	,	PUNCT
ejpam-4780	10	21	data	data	VERB
ejpam-4780	10	22	envelopment	envelopment	ADJ
ejpam-4780	10	23	analysis	analysis	NOUN
ejpam-4780	10	24	,	,	PUNCT
ejpam-4780	10	25	linear	linear	PROPN
ejpam-4780	10	26	programming	programming	NOUN
ejpam-4780	10	27	,	,	PUNCT
ejpam-4780	10	28	non	non	ADJ
ejpam-4780	10	29	-	-	ADJ
ejpam-4780	10	30	archimedean	archimedean	ADJ
ejpam-4780	10	31	infinitesimal	infinitesimal	ADJ
ejpam-4780	10	32	1	1	NUM
ejpam-4780	10	33	.	.	PUNCT
ejpam-4780	10	34	introduction	introduction	NOUN
ejpam-4780	10	35	well	well	ADV
ejpam-4780	10	36	-	-	PUNCT
ejpam-4780	10	37	known	know	VERB
ejpam-4780	10	38	population	population	NOUN
ejpam-4780	10	39	-	-	PUNCT
ejpam-4780	10	40	based	base	VERB
ejpam-4780	10	41	meta	meta	ADJ
ejpam-4780	10	42	-	-	PUNCT
ejpam-4780	10	43	heuristic	heuristic	ADJ
ejpam-4780	10	44	algorithms	algorithm	NOUN
ejpam-4780	10	45	include	include	VERB
ejpam-4780	10	46	evolutionary	evolutionary	ADJ
ejpam-4780	10	47	computation	computation	NOUN
ejpam-4780	10	48	[	[	X
ejpam-4780	10	49	23	23	NUM
ejpam-4780	10	50	]	]	PUNCT
ejpam-4780	10	51	,	,	PUNCT
ejpam-4780	10	52	particle	particle	NOUN
ejpam-4780	10	53	swarm	swarm	NOUN
ejpam-4780	10	54	optimization	optimization	NOUN
ejpam-4780	10	55	method	method	NOUN
ejpam-4780	10	56	[	[	X
ejpam-4780	10	57	18	18	NUM
ejpam-4780	10	58	]	]	PUNCT
ejpam-4780	10	59	,	,	PUNCT
ejpam-4780	10	60	genetic	genetic	ADJ
ejpam-4780	10	61	algorithm	algorithm	NOUN
ejpam-4780	10	62	[	[	X
ejpam-4780	10	63	13	13	NUM
ejpam-4780	10	64	]	]	PUNCT
ejpam-4780	10	65	,	,	PUNCT
ejpam-4780	10	66	ant	ant	ADJ
ejpam-4780	10	67	colony	colony	NOUN
ejpam-4780	10	68	optimization[10	optimization[10	PROPN
ejpam-4780	10	69	]	]	PUNCT
ejpam-4780	10	70	,	,	PUNCT
ejpam-4780	10	71	artificial	artificial	ADJ
ejpam-4780	10	72	bee	bee	NOUN
ejpam-4780	10	73	colony	colony	NOUN
ejpam-4780	10	74	algorithm	algorithm	NOUN
ejpam-4780	10	75	[	[	X
ejpam-4780	10	76	15	15	NUM
ejpam-4780	10	77	]	]	PUNCT
ejpam-4780	10	78	,	,	PUNCT
ejpam-4780	10	79	and	and	CCONJ
ejpam-4780	10	80	so	so	ADV
ejpam-4780	10	81	on	on	ADV
ejpam-4780	10	82	.	.	PUNCT
ejpam-4780	11	1	the	the	DET
ejpam-4780	11	2	abc	abc	PROPN
ejpam-4780	11	3	algorithm	algorithm	PROPN
ejpam-4780	11	4	has	have	AUX
ejpam-4780	11	5	been	be	AUX
ejpam-4780	11	6	used	use	VERB
ejpam-4780	11	7	in	in	ADP
ejpam-4780	11	8	many	many	ADJ
ejpam-4780	11	9	topics	topic	NOUN
ejpam-4780	11	10	such	such	ADJ
ejpam-4780	11	11	as	as	ADP
ejpam-4780	11	12	the	the	DET
ejpam-4780	11	13	numerical	numerical	ADJ
ejpam-4780	11	14	function	function	PROPN
ejpam-4780	11	15	optimization	optimization	NOUN
ejpam-4780	11	16	[	[	X
ejpam-4780	11	17	16	16	NUM
ejpam-4780	11	18	]	]	PUNCT
ejpam-4780	11	19	,	,	PUNCT
ejpam-4780	11	20	neural	neural	ADJ
ejpam-4780	11	21	networks	network	NOUN
ejpam-4780	12	1	[	[	X
ejpam-4780	12	2	17	17	NUM
ejpam-4780	12	3	]	]	PUNCT
ejpam-4780	12	4	,	,	PUNCT
ejpam-4780	12	5	real	real	ADJ
ejpam-4780	12	6	parameter	parameter	NOUN
ejpam-4780	12	7	optimization	optimization	NOUN
ejpam-4780	12	8	or	or	CCONJ
ejpam-4780	12	9	fuzzy	fuzzy	ADJ
ejpam-4780	12	10	polynomial	polynomial	ADJ
ejpam-4780	12	11	interpolation	interpolation	NOUN
ejpam-4780	12	12	(	(	PUNCT
ejpam-4780	12	13	[	[	X
ejpam-4780	12	14	1	1	NUM
ejpam-4780	12	15	]	]	PUNCT
ejpam-4780	12	16	,	,	PUNCT
ejpam-4780	13	1	[	[	X
ejpam-4780	13	2	6	6	NUM
ejpam-4780	13	3	]	]	PUNCT
ejpam-4780	13	4	,	,	PUNCT
ejpam-4780	13	5	and	and	CCONJ
ejpam-4780	13	6	[	[	X
ejpam-4780	13	7	19	19	NUM
ejpam-4780	13	8	]	]	NUM
ejpam-4780	13	9	)	)	PUNCT
ejpam-4780	13	10	.	.	PUNCT
ejpam-4780	14	1	it	it	PRON
ejpam-4780	14	2	should	should	AUX
ejpam-4780	14	3	be	be	AUX
ejpam-4780	14	4	noted	note	VERB
ejpam-4780	14	5	that	that	SCONJ
ejpam-4780	14	6	this	this	DET
ejpam-4780	14	7	algorithm	algorithm	NOUN
ejpam-4780	14	8	was	be	AUX
ejpam-4780	14	9	introduced	introduce	VERB
ejpam-4780	14	10	by	by	ADP
ejpam-4780	14	11	[	[	X
ejpam-4780	14	12	15	15	NUM
ejpam-4780	14	13	]	]	PUNCT
ejpam-4780	14	14	.	.	PUNCT
ejpam-4780	15	1	also	also	ADV
ejpam-4780	15	2	,	,	PUNCT
ejpam-4780	15	3	the	the	DET
ejpam-4780	15	4	different	different	ADJ
ejpam-4780	15	5	∗corresponding	∗corresponding	NOUN
ejpam-4780	15	6	author	author	NOUN
ejpam-4780	15	7	.	.	PUNCT
ejpam-4780	16	1	doi	doi	NOUN
ejpam-4780	16	2	:	:	PUNCT
ejpam-4780	16	3	https://doi.org/10.29020/nybg.ejpam.v16i3.4780	https://doi.org/10.29020/nybg.ejpam.v16i3.4780	PROPN
ejpam-4780	16	4	email	email	NOUN
ejpam-4780	16	5	addresses	address	NOUN
ejpam-4780	16	6	:	:	PUNCT
ejpam-4780	16	7	sara.zeidani@gmail.com	sara.zeidani@gmail.com	X
ejpam-4780	16	8	(	(	PUNCT
ejpam-4780	16	9	s.	s.	PROPN
ejpam-4780	16	10	zeidani	zeidani	PROPN
ejpam-4780	16	11	)	)	PUNCT
ejpam-4780	16	12	,	,	PUNCT
ejpam-4780	16	13	basadi@iau-arak.ac.ir	basadi@iau-arak.ac.ir	PROPN
ejpam-4780	16	14	(	(	PUNCT
ejpam-4780	16	15	b.	b.	PROPN
ejpam-4780	16	16	asady	asady	PROPN
ejpam-4780	16	17	)	)	PUNCT
ejpam-4780	16	18	,	,	PUNCT
ejpam-4780	16	19	mohsen	mohsen	PROPN
ejpam-4780	16	20	rostamy@yahoo.com	rostamy@yahoo.com	PROPN
ejpam-4780	16	21	(	(	PUNCT
ejpam-4780	16	22	m.	m.	NOUN
ejpam-4780	16	23	rostamy	rostamy	NOUN
ejpam-4780	16	24	-	-	PUNCT
ejpam-4780	16	25	malkhalifeh	malkhalifeh	NOUN
ejpam-4780	16	26	)	)	PUNCT
ejpam-4780	16	27	,	,	PUNCT
ejpam-4780	16	28	lotfi@iauh.ac.ir	lotfi@iauh.ac.ir	PROPN
ejpam-4780	16	29	(	(	PUNCT
ejpam-4780	16	30	t.	t.	NOUN
ejpam-4780	16	31	lotfi	lotfi	PROPN
ejpam-4780	16	32	)	)	PUNCT
ejpam-4780	16	33	https://www.ejpam.com	https://www.ejpam.com	X
ejpam-4780	16	34	1608	1608	NUM
ejpam-4780	17	1	©	©	ADP
ejpam-4780	17	2	2023	2023	NUM
ejpam-4780	17	3	ejpam	ejpam	NOUN
ejpam-4780	17	4	all	all	DET
ejpam-4780	17	5	rights	right	NOUN
ejpam-4780	17	6	reserved	reserve	VERB
ejpam-4780	17	7	.	.	PUNCT
ejpam-4780	18	1	s.	s.	PROPN
ejpam-4780	18	2	zeidani	zeidani	PROPN
ejpam-4780	18	3	et	et	PROPN
ejpam-4780	18	4	al	al	PROPN
ejpam-4780	18	5	.	.	PUNCT
ejpam-4780	18	6	/	/	SYM
ejpam-4780	18	7	eur	eur	PROPN
ejpam-4780	18	8	.	.	PUNCT
ejpam-4780	19	1	j.	j.	PROPN
ejpam-4780	19	2	pure	pure	PROPN
ejpam-4780	19	3	appl	appl	PROPN
ejpam-4780	19	4	.	.	PROPN
ejpam-4780	19	5	math	math	PROPN
ejpam-4780	19	6	,	,	PUNCT
ejpam-4780	19	7	16	16	NUM
ejpam-4780	19	8	(	(	PUNCT
ejpam-4780	19	9	3	3	NUM
ejpam-4780	19	10	)	)	PUNCT
ejpam-4780	19	11	(	(	PUNCT
ejpam-4780	19	12	2023	2023	NUM
ejpam-4780	19	13	)	)	PUNCT
ejpam-4780	19	14	,	,	PUNCT
ejpam-4780	19	15	1608	1608	NUM
ejpam-4780	19	16	-	-	SYM
ejpam-4780	19	17	1623	1623	NUM
ejpam-4780	19	18	1609	1609	NUM
ejpam-4780	19	19	ratios	ratio	NOUN
ejpam-4780	19	20	of	of	ADP
ejpam-4780	19	21	the	the	DET
ejpam-4780	19	22	onlooker	onlooker	NOUN
ejpam-4780	19	23	and	and	CCONJ
ejpam-4780	19	24	employee	employee	NOUN
ejpam-4780	19	25	bees	bee	NOUN
ejpam-4780	19	26	for	for	ADP
ejpam-4780	19	27	the	the	DET
ejpam-4780	19	28	first	first	ADJ
ejpam-4780	19	29	modifications	modification	NOUN
ejpam-4780	19	30	of	of	ADP
ejpam-4780	19	31	the	the	DET
ejpam-4780	19	32	artificial	artificial	ADJ
ejpam-4780	19	33	bee	bee	NOUN
ejpam-4780	19	34	colony	colony	NOUN
ejpam-4780	19	35	algorithm	algorithm	NOUN
ejpam-4780	19	36	suggested	suggest	VERB
ejpam-4780	19	37	by	by	ADP
ejpam-4780	19	38	[	[	X
ejpam-4780	19	39	4	4	NUM
ejpam-4780	19	40	]	]	PUNCT
ejpam-4780	19	41	.	.	PUNCT
ejpam-4780	20	1	they	they	PRON
ejpam-4780	20	2	have	have	AUX
ejpam-4780	20	3	proposed	propose	VERB
ejpam-4780	20	4	these	these	DET
ejpam-4780	20	5	ratios	ratio	NOUN
ejpam-4780	20	6	{	{	PUNCT
ejpam-4780	20	7	1:1	1:1	NUM
ejpam-4780	20	8	,	,	PUNCT
ejpam-4780	20	9	1:2	1:2	NUM
ejpam-4780	20	10	,	,	PUNCT
ejpam-4780	20	11	1:3	1:3	NUM
ejpam-4780	20	12	,	,	PUNCT
ejpam-4780	20	13	1:4	1:4	NUM
ejpam-4780	20	14	,	,	PUNCT
ejpam-4780	20	15	2:1	2:1	NUM
ejpam-4780	20	16	,	,	PUNCT
ejpam-4780	20	17	3:1	3:1	NUM
ejpam-4780	20	18	,	,	PUNCT
ejpam-4780	20	19	4:1	4:1	NUM
ejpam-4780	20	20	,	,	PUNCT
ejpam-4780	20	21	2:2	2:2	NUM
ejpam-4780	20	22	,	,	PUNCT
ejpam-4780	20	23	2:3	2:3	NUM
ejpam-4780	20	24	,	,	PUNCT
ejpam-4780	20	25	3:2	3:2	NUM
ejpam-4780	20	26	}	}	PUNCT
ejpam-4780	20	27	and	and	CCONJ
ejpam-4780	20	28	also	also	ADV
ejpam-4780	20	29	have	have	AUX
ejpam-4780	20	30	considered	consider	VERB
ejpam-4780	20	31	the	the	DET
ejpam-4780	20	32	execution	execution	NOUN
ejpam-4780	20	33	of	of	ADP
ejpam-4780	20	34	the	the	DET
ejpam-4780	20	35	main	main	ADJ
ejpam-4780	20	36	loop	loop	NOUN
ejpam-4780	20	37	of	of	ADP
ejpam-4780	20	38	the	the	DET
ejpam-4780	20	39	algorithm	algorithm	NOUN
ejpam-4780	20	40	to	to	PART
ejpam-4780	20	41	be	be	AUX
ejpam-4780	20	42	constant	constant	ADJ
ejpam-4780	20	43	for	for	ADP
ejpam-4780	20	44	different	different	ADJ
ejpam-4780	20	45	ratios	ratio	NOUN
ejpam-4780	20	46	.	.	PUNCT
ejpam-4780	21	1	[	[	X
ejpam-4780	21	2	4	4	X
ejpam-4780	21	3	]	]	PUNCT
ejpam-4780	21	4	showed	show	VERB
ejpam-4780	21	5	that	that	SCONJ
ejpam-4780	21	6	in	in	ADP
ejpam-4780	21	7	the	the	DET
ejpam-4780	21	8	modified	modify	VERB
ejpam-4780	21	9	abc	abc	PROPN
ejpam-4780	21	10	algorithm	algorithm	NOUN
ejpam-4780	21	11	,	,	PUNCT
ejpam-4780	21	12	more	more	ADJ
ejpam-4780	21	13	onlooker	onlooker	NOUN
ejpam-4780	21	14	bees	bee	NOUN
ejpam-4780	21	15	had	have	VERB
ejpam-4780	21	16	a	a	DET
ejpam-4780	21	17	better	well	ADJ
ejpam-4780	21	18	effect	effect	NOUN
ejpam-4780	21	19	on	on	ADP
ejpam-4780	21	20	the	the	DET
ejpam-4780	21	21	results	result	NOUN
ejpam-4780	21	22	.	.	PUNCT
ejpam-4780	22	1	on	on	ADP
ejpam-4780	22	2	the	the	DET
ejpam-4780	22	3	other	other	ADJ
ejpam-4780	22	4	hand	hand	NOUN
ejpam-4780	22	5	,	,	PUNCT
ejpam-4780	22	6	one	one	NUM
ejpam-4780	22	7	of	of	ADP
ejpam-4780	22	8	the	the	DET
ejpam-4780	22	9	sub	sub	NOUN
ejpam-4780	22	10	-	-	NOUN
ejpam-4780	22	11	fields	field	NOUN
ejpam-4780	22	12	of	of	ADP
ejpam-4780	22	13	operations	operation	NOUN
ejpam-4780	22	14	research	research	NOUN
ejpam-4780	22	15	science	science	NOUN
ejpam-4780	22	16	is	be	AUX
ejpam-4780	22	17	data	datum	NOUN
ejpam-4780	22	18	envelopment	envelopment	ADJ
ejpam-4780	22	19	analysis	analysis	NOUN
ejpam-4780	22	20	.	.	PUNCT
ejpam-4780	23	1	data	datum	NOUN
ejpam-4780	23	2	envelopment	envelopment	ADJ
ejpam-4780	23	3	analysis	analysis	NOUN
ejpam-4780	23	4	is	be	AUX
ejpam-4780	23	5	an	an	DET
ejpam-4780	23	6	effective	effective	ADJ
ejpam-4780	23	7	way	way	NOUN
ejpam-4780	23	8	to	to	PART
ejpam-4780	23	9	evaluate	evaluate	VERB
ejpam-4780	23	10	and	and	CCONJ
ejpam-4780	23	11	analyze	analyze	VERB
ejpam-4780	23	12	the	the	DET
ejpam-4780	23	13	efficiency	efficiency	NOUN
ejpam-4780	23	14	of	of	ADP
ejpam-4780	23	15	systems	system	NOUN
ejpam-4780	23	16	with	with	ADP
ejpam-4780	23	17	multiple	multiple	ADJ
ejpam-4780	23	18	inputs	input	NOUN
ejpam-4780	23	19	and	and	CCONJ
ejpam-4780	23	20	outputs	output	NOUN
ejpam-4780	23	21	.	.	PUNCT
ejpam-4780	24	1	one	one	NUM
ejpam-4780	24	2	of	of	ADP
ejpam-4780	24	3	the	the	DET
ejpam-4780	24	4	practical	practical	ADJ
ejpam-4780	24	5	topics	topic	NOUN
ejpam-4780	24	6	in	in	ADP
ejpam-4780	24	7	data	datum	NOUN
ejpam-4780	24	8	envelopment	envelopment	ADJ
ejpam-4780	24	9	analysis	analysis	NOUN
ejpam-4780	24	10	is	be	AUX
ejpam-4780	24	11	finding	find	VERB
ejpam-4780	24	12	the	the	DET
ejpam-4780	24	13	efficiency	efficiency	NOUN
ejpam-4780	24	14	of	of	ADP
ejpam-4780	24	15	decision	decision	NOUN
ejpam-4780	24	16	-	-	PUNCT
ejpam-4780	24	17	making	make	VERB
ejpam-4780	24	18	units	unit	NOUN
ejpam-4780	24	19	based	base	VERB
ejpam-4780	24	20	on	on	ADP
ejpam-4780	24	21	the	the	DET
ejpam-4780	24	22	indicators	indicator	NOUN
ejpam-4780	24	23	considered	consider	VERB
ejpam-4780	24	24	in	in	ADP
ejpam-4780	24	25	the	the	DET
ejpam-4780	24	26	problem	problem	NOUN
ejpam-4780	24	27	.	.	PUNCT
ejpam-4780	25	1	the	the	DET
ejpam-4780	25	2	first	first	PROPN
ejpam-4780	25	3	dea	dea	PROPN
ejpam-4780	25	4	model	model	NOUN
ejpam-4780	25	5	introduced	introduce	VERB
ejpam-4780	25	6	by	by	ADP
ejpam-4780	25	7	professor	professor	NOUN
ejpam-4780	25	8	cooper	cooper	PROPN
ejpam-4780	25	9	,	,	PUNCT
ejpam-4780	25	10	charnes	charne	NOUN
ejpam-4780	25	11	and	and	CCONJ
ejpam-4780	25	12	rhodes	rhode	NOUN
ejpam-4780	25	13	in	in	ADP
ejpam-4780	25	14	1978	1978	NUM
ejpam-4780	25	15	was	be	AUX
ejpam-4780	25	16	the	the	DET
ejpam-4780	25	17	ccr	ccr	PROPN
ejpam-4780	25	18	model	model	NOUN
ejpam-4780	25	19	[	[	X
ejpam-4780	25	20	7	7	NUM
ejpam-4780	25	21	]	]	PUNCT
ejpam-4780	25	22	.	.	PUNCT
ejpam-4780	26	1	this	this	DET
ejpam-4780	26	2	model	model	NOUN
ejpam-4780	26	3	became	become	VERB
ejpam-4780	26	4	the	the	DET
ejpam-4780	26	5	basis	basis	NOUN
ejpam-4780	26	6	of	of	ADP
ejpam-4780	26	7	many	many	ADJ
ejpam-4780	26	8	studies	study	NOUN
ejpam-4780	26	9	in	in	ADP
ejpam-4780	26	10	the	the	DET
ejpam-4780	26	11	dea	dea	NOUN
ejpam-4780	26	12	.	.	PUNCT
ejpam-4780	27	1	one	one	NUM
ejpam-4780	27	2	of	of	ADP
ejpam-4780	27	3	the	the	DET
ejpam-4780	27	4	problems	problem	NOUN
ejpam-4780	27	5	in	in	ADP
ejpam-4780	27	6	solving	solve	VERB
ejpam-4780	27	7	this	this	DET
ejpam-4780	27	8	model	model	NOUN
ejpam-4780	27	9	is	be	AUX
ejpam-4780	27	10	that	that	SCONJ
ejpam-4780	27	11	it	it	PRON
ejpam-4780	27	12	declares	declare	VERB
ejpam-4780	27	13	inefficient	inefficient	ADJ
ejpam-4780	27	14	units	unit	NOUN
ejpam-4780	27	15	as	as	ADP
ejpam-4780	27	16	efficient	efficient	ADJ
ejpam-4780	27	17	,	,	PUNCT
ejpam-4780	27	18	which	which	PRON
ejpam-4780	27	19	happens	happen	VERB
ejpam-4780	27	20	due	due	ADJ
ejpam-4780	27	21	to	to	ADP
ejpam-4780	27	22	finding	find	VERB
ejpam-4780	27	23	zero	zero	NUM
ejpam-4780	27	24	weights	weight	NOUN
ejpam-4780	27	25	.	.	PUNCT
ejpam-4780	28	1	the	the	DET
ejpam-4780	28	2	first	first	ADJ
ejpam-4780	28	3	version	version	NOUN
ejpam-4780	28	4	of	of	ADP
ejpam-4780	28	5	the	the	DET
ejpam-4780	28	6	dea	dea	PROPN
ejpam-4780	28	7	model	model	NOUN
ejpam-4780	28	8	was	be	AUX
ejpam-4780	28	9	updated	update	VERB
ejpam-4780	28	10	in	in	ADP
ejpam-4780	28	11	1979	1979	NUM
ejpam-4780	28	12	with	with	ADP
ejpam-4780	28	13	the	the	DET
ejpam-4780	28	14	addition	addition	NOUN
ejpam-4780	28	15	of	of	ADP
ejpam-4780	28	16	a	a	DET
ejpam-4780	28	17	non	non	ADJ
ejpam-4780	28	18	-	-	ADJ
ejpam-4780	28	19	archimedean	archimedean	ADJ
ejpam-4780	28	20	ε	ε	PROPN
ejpam-4780	28	21	as	as	ADP
ejpam-4780	28	22	the	the	DET
ejpam-4780	28	23	lower	low	ADJ
ejpam-4780	28	24	limit	limit	NOUN
ejpam-4780	28	25	for	for	ADP
ejpam-4780	28	26	inputs	input	NOUN
ejpam-4780	28	27	and	and	CCONJ
ejpam-4780	28	28	outputs	output	VERB
ejpam-4780	28	29	weights	weight	NOUN
ejpam-4780	28	30	of	of	ADP
ejpam-4780	28	31	dmu	dmu	PROPN
ejpam-4780	28	32	under	under	ADP
ejpam-4780	28	33	evaluation	evaluation	NOUN
ejpam-4780	28	34	[	[	X
ejpam-4780	28	35	8	8	NUM
ejpam-4780	28	36	]	]	PUNCT
ejpam-4780	28	37	.	.	PUNCT
ejpam-4780	29	1	various	various	ADJ
ejpam-4780	29	2	methods	method	NOUN
ejpam-4780	29	3	have	have	AUX
ejpam-4780	29	4	been	be	AUX
ejpam-4780	29	5	suggested	suggest	VERB
ejpam-4780	29	6	to	to	PART
ejpam-4780	29	7	calculate	calculate	VERB
ejpam-4780	29	8	the	the	DET
ejpam-4780	29	9	appropriate	appropriate	ADJ
ejpam-4780	29	10	value	value	NOUN
ejpam-4780	29	11	for	for	ADP
ejpam-4780	29	12	ε	ε	PROPN
ejpam-4780	29	13	.	.	PUNCT
ejpam-4780	30	1	[	[	X
ejpam-4780	30	2	2	2	X
ejpam-4780	30	3	]	]	PUNCT
ejpam-4780	30	4	proposed	propose	VERB
ejpam-4780	30	5	a	a	DET
ejpam-4780	30	6	method	method	NOUN
ejpam-4780	30	7	for	for	ADP
ejpam-4780	30	8	finding	find	VERB
ejpam-4780	30	9	a	a	DET
ejpam-4780	30	10	suitable	suitable	ADJ
ejpam-4780	30	11	value	value	NOUN
ejpam-4780	30	12	for	for	ADP
ejpam-4780	30	13	ε	ε	PROPN
ejpam-4780	30	14	.	.	PUNCT
ejpam-4780	31	1	[	[	X
ejpam-4780	31	2	20	20	NUM
ejpam-4780	31	3	]	]	PUNCT
ejpam-4780	31	4	modified	modify	VERB
ejpam-4780	31	5	this	this	DET
ejpam-4780	31	6	technique	technique	NOUN
ejpam-4780	31	7	and	and	CCONJ
ejpam-4780	31	8	presented	present	VERB
ejpam-4780	31	9	an	an	DET
ejpam-4780	31	10	lp	lp	NOUN
ejpam-4780	31	11	to	to	PART
ejpam-4780	31	12	select	select	VERB
ejpam-4780	31	13	a	a	DET
ejpam-4780	31	14	suitable	suitable	ADJ
ejpam-4780	31	15	value	value	NOUN
ejpam-4780	31	16	for	for	ADP
ejpam-4780	31	17	ε	ε	PROPN
ejpam-4780	31	18	.	.	PUNCT
ejpam-4780	32	1	[	[	X
ejpam-4780	32	2	21	21	NUM
ejpam-4780	32	3	]	]	PUNCT
ejpam-4780	32	4	showed	show	VERB
ejpam-4780	32	5	that	that	SCONJ
ejpam-4780	32	6	there	there	PRON
ejpam-4780	32	7	exists	exist	VERB
ejpam-4780	32	8	threshold	threshold	NOUN
ejpam-4780	32	9	value	value	NOUN
ejpam-4780	32	10	and	and	CCONJ
ejpam-4780	32	11	if	if	SCONJ
ejpam-4780	32	12	the	the	DET
ejpam-4780	32	13	epsilon	epsilon	PROPN
ejpam-4780	32	14	is	be	AUX
ejpam-4780	32	15	smaller	small	ADJ
ejpam-4780	32	16	than	than	ADP
ejpam-4780	32	17	this	this	DET
ejpam-4780	32	18	value	value	NOUN
ejpam-4780	32	19	,	,	PUNCT
ejpam-4780	32	20	the	the	DET
ejpam-4780	32	21	solution	solution	NOUN
ejpam-4780	32	22	to	to	ADP
ejpam-4780	32	23	the	the	DET
ejpam-4780	32	24	single	single	ADJ
ejpam-4780	32	25	stage	stage	NOUN
ejpam-4780	32	26	program	program	NOUN
ejpam-4780	32	27	is	be	AUX
ejpam-4780	32	28	exact	exact	ADJ
ejpam-4780	32	29	.	.	PUNCT
ejpam-4780	33	1	so	so	ADV
ejpam-4780	33	2	far	far	ADV
ejpam-4780	33	3	,	,	PUNCT
ejpam-4780	33	4	some	some	DET
ejpam-4780	33	5	researchers	researcher	NOUN
ejpam-4780	33	6	have	have	VERB
ejpam-4780	33	7	prepared	prepare	VERB
ejpam-4780	33	8	methods	method	NOUN
ejpam-4780	33	9	and	and	CCONJ
ejpam-4780	33	10	studies	study	NOUN
ejpam-4780	33	11	about	about	ADP
ejpam-4780	33	12	the	the	DET
ejpam-4780	33	13	nonarchimedean	nonarchimedean	ADJ
ejpam-4780	33	14	ε	ε	PROPN
ejpam-4780	33	15	such	such	ADJ
ejpam-4780	33	16	as	as	ADP
ejpam-4780	33	17	[	[	X
ejpam-4780	33	18	5	5	NUM
ejpam-4780	33	19	]	]	PUNCT
ejpam-4780	33	20	,	,	PUNCT
ejpam-4780	33	21	[	[	X
ejpam-4780	33	22	3	3	NUM
ejpam-4780	33	23	]	]	PUNCT
ejpam-4780	33	24	,	,	PUNCT
ejpam-4780	33	25	[	[	X
ejpam-4780	33	26	11	11	NUM
ejpam-4780	33	27	]	]	PUNCT
ejpam-4780	33	28	,	,	PUNCT
ejpam-4780	33	29	[	[	X
ejpam-4780	33	30	24	24	NUM
ejpam-4780	33	31	]	]	PUNCT
ejpam-4780	33	32	,	,	PUNCT
ejpam-4780	33	33	[	[	X
ejpam-4780	33	34	25	25	NUM
ejpam-4780	33	35	]	]	PUNCT
ejpam-4780	33	36	,	,	PUNCT
ejpam-4780	33	37	and	and	CCONJ
ejpam-4780	33	38	[	[	X
ejpam-4780	33	39	27	27	NUM
ejpam-4780	33	40	]	]	PUNCT
ejpam-4780	33	41	but	but	CCONJ
ejpam-4780	33	42	some	some	DET
ejpam-4780	33	43	proposed	propose	VERB
ejpam-4780	33	44	techniques	technique	NOUN
ejpam-4780	33	45	may	may	AUX
ejpam-4780	33	46	not	not	PART
ejpam-4780	33	47	lead	lead	VERB
ejpam-4780	33	48	to	to	ADP
ejpam-4780	33	49	the	the	DET
ejpam-4780	33	50	correct	correct	ADJ
ejpam-4780	33	51	recognition	recognition	NOUN
ejpam-4780	33	52	of	of	ADP
ejpam-4780	33	53	efficient	efficient	ADJ
ejpam-4780	33	54	and	and	CCONJ
ejpam-4780	33	55	inefficient	inefficient	ADJ
ejpam-4780	33	56	dmus	dmus	NOUN
ejpam-4780	33	57	.	.	PUNCT
ejpam-4780	34	1	[	[	X
ejpam-4780	34	2	9	9	NUM
ejpam-4780	34	3	]	]	PUNCT
ejpam-4780	34	4	,	,	PUNCT
ejpam-4780	34	5	as	as	SCONJ
ejpam-4780	34	6	the	the	DET
ejpam-4780	34	7	first	first	ADJ
ejpam-4780	34	8	and	and	CCONJ
ejpam-4780	34	9	most	most	ADV
ejpam-4780	34	10	significant	significant	ADJ
ejpam-4780	34	11	alternative	alternative	ADJ
ejpam-4780	34	12	technique	technique	NOUN
ejpam-4780	34	13	to	to	ADP
ejpam-4780	34	14	epsilon	epsilon	PROPN
ejpam-4780	34	15	based	base	VERB
ejpam-4780	34	16	dea	dea	PROPN
ejpam-4780	34	17	solutions	solution	NOUN
ejpam-4780	34	18	proposed	propose	VERB
ejpam-4780	34	19	the	the	DET
ejpam-4780	34	20	two	two	NUM
ejpam-4780	34	21	-	-	PUNCT
ejpam-4780	34	22	phase	phase	NOUN
ejpam-4780	34	23	method	method	NOUN
ejpam-4780	34	24	for	for	ADP
ejpam-4780	34	25	evaluating	evaluate	VERB
ejpam-4780	34	26	efficiency	efficiency	NOUN
ejpam-4780	34	27	in	in	ADP
ejpam-4780	34	28	dea	dea	NOUN
ejpam-4780	34	29	without	without	ADP
ejpam-4780	34	30	helping	help	VERB
ejpam-4780	34	31	of	of	ADP
ejpam-4780	34	32	ε	ε	PROPN
ejpam-4780	34	33	.	.	PUNCT
ejpam-4780	35	1	in	in	ADP
ejpam-4780	35	2	this	this	DET
ejpam-4780	35	3	proposed	propose	VERB
ejpam-4780	35	4	method	method	NOUN
ejpam-4780	35	5	,	,	PUNCT
ejpam-4780	35	6	the	the	DET
ejpam-4780	35	7	efficiency	efficiency	NOUN
ejpam-4780	35	8	of	of	ADP
ejpam-4780	35	9	each	each	DET
ejpam-4780	35	10	dmu	dmu	PROPN
ejpam-4780	35	11	obtains	obtain	VERB
ejpam-4780	35	12	by	by	ADP
ejpam-4780	35	13	solving	solve	VERB
ejpam-4780	35	14	two	two	NUM
ejpam-4780	35	15	lps	lp	NOUN
ejpam-4780	35	16	.	.	PUNCT
ejpam-4780	36	1	besides	besides	SCONJ
ejpam-4780	36	2	,	,	PUNCT
ejpam-4780	36	3	dea	dea	NOUN
ejpam-4780	36	4	requires	require	VERB
ejpam-4780	36	5	huge	huge	ADJ
ejpam-4780	36	6	computer	computer	NOUN
ejpam-4780	36	7	resources	resource	NOUN
ejpam-4780	36	8	in	in	ADP
ejpam-4780	36	9	terms	term	NOUN
ejpam-4780	36	10	of	of	ADP
ejpam-4780	36	11	memory	memory	NOUN
ejpam-4780	36	12	and	and	CCONJ
ejpam-4780	36	13	cpu	cpu	ADJ
ejpam-4780	36	14	time	time	NOUN
ejpam-4780	36	15	for	for	ADP
ejpam-4780	36	16	a	a	DET
ejpam-4780	36	17	large	large	ADJ
ejpam-4780	36	18	data	datum	NOUN
ejpam-4780	36	19	set	set	VERB
ejpam-4780	36	20	with	with	ADP
ejpam-4780	36	21	many	many	ADJ
ejpam-4780	36	22	input	input	NOUN
ejpam-4780	36	23	/	/	SYM
ejpam-4780	36	24	output	output	NOUN
ejpam-4780	36	25	variables	variable	NOUN
ejpam-4780	36	26	and/or	and/or	CCONJ
ejpam-4780	36	27	dmus	dmus	VERB
ejpam-4780	36	28	and	and	CCONJ
ejpam-4780	36	29	takes	take	VERB
ejpam-4780	36	30	a	a	DET
ejpam-4780	36	31	long	long	ADJ
ejpam-4780	36	32	time	time	NOUN
ejpam-4780	36	33	even	even	ADV
ejpam-4780	36	34	with	with	ADP
ejpam-4780	36	35	a	a	DET
ejpam-4780	36	36	very	very	ADV
ejpam-4780	36	37	fast	fast	ADJ
ejpam-4780	36	38	computer	computer	NOUN
ejpam-4780	36	39	[	[	X
ejpam-4780	36	40	12	12	NUM
ejpam-4780	36	41	]	]	PUNCT
ejpam-4780	36	42	.	.	PUNCT
ejpam-4780	37	1	in	in	ADP
ejpam-4780	37	2	addition	addition	NOUN
ejpam-4780	37	3	,	,	PUNCT
ejpam-4780	37	4	for	for	ADP
ejpam-4780	37	5	each	each	DET
ejpam-4780	37	6	dmu	dmu	PROPN
ejpam-4780	37	7	unit	unit	NOUN
ejpam-4780	37	8	,	,	PUNCT
ejpam-4780	37	9	a	a	DET
ejpam-4780	37	10	mathematical	mathematical	ADJ
ejpam-4780	37	11	programming	programming	NOUN
ejpam-4780	37	12	problem	problem	NOUN
ejpam-4780	37	13	must	must	AUX
ejpam-4780	37	14	be	be	AUX
ejpam-4780	37	15	solved	solve	VERB
ejpam-4780	37	16	separately	separately	ADV
ejpam-4780	37	17	.	.	PUNCT
ejpam-4780	38	1	therefore	therefore	ADV
ejpam-4780	38	2	,	,	PUNCT
ejpam-4780	38	3	to	to	PART
ejpam-4780	38	4	solve	solve	VERB
ejpam-4780	38	5	this	this	DET
ejpam-4780	38	6	problem	problem	NOUN
ejpam-4780	38	7	,	,	PUNCT
ejpam-4780	38	8	some	some	DET
ejpam-4780	38	9	methods	method	NOUN
ejpam-4780	38	10	have	have	AUX
ejpam-4780	38	11	been	be	AUX
ejpam-4780	38	12	proposed	propose	VERB
ejpam-4780	38	13	and	and	CCONJ
ejpam-4780	38	14	used	use	VERB
ejpam-4780	38	15	in	in	ADP
ejpam-4780	38	16	related	related	ADJ
ejpam-4780	38	17	works	work	NOUN
ejpam-4780	38	18	.	.	PUNCT
ejpam-4780	39	1	for	for	ADP
ejpam-4780	39	2	example	example	NOUN
ejpam-4780	39	3	,	,	PUNCT
ejpam-4780	39	4	to	to	PART
ejpam-4780	39	5	estimate	estimate	VERB
ejpam-4780	39	6	efficiency	efficiency	NOUN
ejpam-4780	39	7	frontiers	frontier	NOUN
ejpam-4780	39	8	,	,	PUNCT
ejpam-4780	39	9	neural	neural	ADJ
ejpam-4780	39	10	networks	network	NOUN
ejpam-4780	39	11	(	(	PUNCT
ejpam-4780	39	12	nn	nn	NOUN
ejpam-4780	39	13	)	)	PUNCT
ejpam-4780	39	14	can	can	AUX
ejpam-4780	39	15	be	be	AUX
ejpam-4780	39	16	considered	consider	VERB
ejpam-4780	39	17	as	as	ADP
ejpam-4780	39	18	a	a	DET
ejpam-4780	39	19	possible	possible	ADJ
ejpam-4780	39	20	alternative	alternative	NOUN
ejpam-4780	39	21	to	to	PART
ejpam-4780	39	22	replace	replace	VERB
ejpam-4780	39	23	or	or	CCONJ
ejpam-4780	39	24	complement	complement	VERB
ejpam-4780	39	25	the	the	DET
ejpam-4780	39	26	dea	dea	PROPN
ejpam-4780	39	27	technique	technique	NOUN
ejpam-4780	39	28	[	[	X
ejpam-4780	39	29	26	26	NUM
ejpam-4780	39	30	]	]	PUNCT
ejpam-4780	39	31	.	.	PUNCT
ejpam-4780	40	1	one	one	NUM
ejpam-4780	40	2	of	of	ADP
ejpam-4780	40	3	the	the	DET
ejpam-4780	40	4	studies	study	NOUN
ejpam-4780	40	5	that	that	PRON
ejpam-4780	40	6	explicitly	explicitly	ADV
ejpam-4780	40	7	considered	consider	VERB
ejpam-4780	40	8	the	the	DET
ejpam-4780	40	9	big	big	ADJ
ejpam-4780	40	10	data	datum	NOUN
ejpam-4780	40	11	set	set	VERB
ejpam-4780	40	12	is	be	AUX
ejpam-4780	40	13	the	the	DET
ejpam-4780	40	14	work	work	NOUN
ejpam-4780	40	15	of	of	ADP
ejpam-4780	40	16	[	[	X
ejpam-4780	40	17	12	12	NUM
ejpam-4780	40	18	]	]	PUNCT
ejpam-4780	40	19	.	.	PUNCT
ejpam-4780	41	1	they	they	PRON
ejpam-4780	41	2	considered	consider	VERB
ejpam-4780	41	3	five	five	NUM
ejpam-4780	41	4	large	large	ADJ
ejpam-4780	41	5	random	random	ADJ
ejpam-4780	41	6	data	data	NOUN
ejpam-4780	41	7	sets	set	NOUN
ejpam-4780	41	8	of	of	ADP
ejpam-4780	41	9	dmus	dmus	NOUN
ejpam-4780	41	10	to	to	PART
ejpam-4780	41	11	measure	measure	VERB
ejpam-4780	41	12	efficiency	efficiency	NOUN
ejpam-4780	41	13	and	and	CCONJ
ejpam-4780	41	14	by	by	ADP
ejpam-4780	41	15	analyzing	analyze	VERB
ejpam-4780	41	16	the	the	DET
ejpam-4780	41	17	results	result	NOUN
ejpam-4780	41	18	obtained	obtain	VERB
ejpam-4780	41	19	by	by	ADP
ejpam-4780	41	20	conventional	conventional	ADJ
ejpam-4780	41	21	dea	dea	NOUN
ejpam-4780	41	22	with	with	ADP
ejpam-4780	41	23	a	a	DET
ejpam-4780	41	24	back	back	ADJ
ejpam-4780	41	25	-	-	PUNCT
ejpam-4780	41	26	propagation	propagation	NOUN
ejpam-4780	41	27	neural	neural	ADJ
ejpam-4780	41	28	network	network	NOUN
ejpam-4780	41	29	;	;	PUNCT
ejpam-4780	41	30	they	they	PRON
ejpam-4780	41	31	showed	show	VERB
ejpam-4780	41	32	that	that	SCONJ
ejpam-4780	41	33	the	the	DET
ejpam-4780	41	34	estimation	estimation	NOUN
ejpam-4780	41	35	error	error	NOUN
ejpam-4780	41	36	decreases	decrease	VERB
ejpam-4780	41	37	for	for	ADP
ejpam-4780	41	38	larger	large	ADJ
ejpam-4780	41	39	data	datum	NOUN
ejpam-4780	41	40	sets	set	NOUN
ejpam-4780	41	41	.	.	PUNCT
ejpam-4780	42	1	as	as	ADP
ejpam-4780	42	2	determining	determine	VERB
ejpam-4780	42	3	an	an	DET
ejpam-4780	42	4	appropriate	appropriate	ADJ
ejpam-4780	42	5	value	value	NOUN
ejpam-4780	42	6	for	for	ADP
ejpam-4780	42	7	epsilon	epsilon	PROPN
ejpam-4780	42	8	is	be	AUX
ejpam-4780	42	9	a	a	DET
ejpam-4780	42	10	challenging	challenging	ADJ
ejpam-4780	42	11	issue	issue	NOUN
ejpam-4780	42	12	in	in	ADP
ejpam-4780	42	13	the	the	DET
ejpam-4780	42	14	literature	literature	NOUN
ejpam-4780	42	15	of	of	ADP
ejpam-4780	42	16	dea	dea	PROPN
ejpam-4780	42	17	,	,	PUNCT
ejpam-4780	42	18	as	as	ADV
ejpam-4780	42	19	well	well	ADV
ejpam-4780	42	20	as	as	ADP
ejpam-4780	42	21	in	in	ADP
ejpam-4780	42	22	recent	recent	ADJ
ejpam-4780	42	23	years	year	NOUN
ejpam-4780	42	24	,	,	PUNCT
ejpam-4780	42	25	the	the	DET
ejpam-4780	42	26	population	population	NOUN
ejpam-4780	42	27	-	-	PUNCT
ejpam-4780	42	28	based	base	VERB
ejpam-4780	42	29	algorithms	algorithm	NOUN
ejpam-4780	42	30	have	have	AUX
ejpam-4780	42	31	been	be	AUX
ejpam-4780	42	32	used	use	VERB
ejpam-4780	42	33	a	a	DET
ejpam-4780	42	34	lot	lot	NOUN
ejpam-4780	42	35	to	to	PART
ejpam-4780	42	36	solve	solve	VERB
ejpam-4780	42	37	various	various	ADJ
ejpam-4780	42	38	problems	problem	NOUN
ejpam-4780	42	39	in	in	ADP
ejpam-4780	42	40	data	datum	NOUN
ejpam-4780	42	41	envelopment	envelopment	ADJ
ejpam-4780	42	42	analysis	analysis	NOUN
ejpam-4780	42	43	(	(	PUNCT
ejpam-4780	42	44	see	see	VERB
ejpam-4780	42	45	[	[	X
ejpam-4780	42	46	14	14	NUM
ejpam-4780	42	47	]	]	PUNCT
ejpam-4780	42	48	and	and	CCONJ
ejpam-4780	43	1	[	[	X
ejpam-4780	43	2	28	28	NUM
ejpam-4780	43	3	]	]	NUM
ejpam-4780	43	4	)	)	PUNCT
ejpam-4780	43	5	.	.	PUNCT
ejpam-4780	44	1	in	in	ADP
ejpam-4780	44	2	this	this	DET
ejpam-4780	44	3	work	work	NOUN
ejpam-4780	44	4	,	,	PUNCT
ejpam-4780	44	5	in	in	ADP
ejpam-4780	44	6	order	order	NOUN
ejpam-4780	44	7	to	to	PART
ejpam-4780	44	8	surmount	surmount	VERB
ejpam-4780	44	9	the	the	DET
ejpam-4780	44	10	mentioned	mention	VERB
ejpam-4780	44	11	drawbacks	drawback	NOUN
ejpam-4780	44	12	,	,	PUNCT
ejpam-4780	44	13	by	by	ADP
ejpam-4780	44	14	finding	find	VERB
ejpam-4780	44	15	strictly	strictly	ADV
ejpam-4780	44	16	positive	positive	ADJ
ejpam-4780	44	17	weights	weight	NOUN
ejpam-4780	44	18	and	and	CCONJ
ejpam-4780	44	19	estimating	estimate	VERB
ejpam-4780	44	20	the	the	DET
ejpam-4780	44	21	efficiency	efficiency	NOUN
ejpam-4780	44	22	of	of	ADP
ejpam-4780	44	23	dmus	dmus	NOUN
ejpam-4780	44	24	,	,	PUNCT
ejpam-4780	44	25	we	we	PRON
ejpam-4780	44	26	developed	develop	VERB
ejpam-4780	44	27	an	an	DET
ejpam-4780	44	28	efficient	efficient	ADJ
ejpam-4780	44	29	metaheuristic	metaheuristic	ADJ
ejpam-4780	44	30	algorithm	algorithm	NOUN
ejpam-4780	44	31	:	:	PUNCT
ejpam-4780	44	32	the	the	DET
ejpam-4780	44	33	mabc	mabc	PROPN
ejpam-4780	44	34	algorithm	algorithm	NOUN
ejpam-4780	44	35	.	.	PUNCT
ejpam-4780	45	1	as	as	SCONJ
ejpam-4780	45	2	explained	explain	VERB
ejpam-4780	45	3	earlier	early	ADV
ejpam-4780	45	4	,	,	PUNCT
ejpam-4780	45	5	many	many	ADJ
ejpam-4780	45	6	methods	method	NOUN
ejpam-4780	45	7	to	to	PART
ejpam-4780	45	8	find	find	VERB
ejpam-4780	45	9	a	a	DET
ejpam-4780	45	10	suitable	suitable	ADJ
ejpam-4780	45	11	value	value	NOUN
ejpam-4780	45	12	for	for	ADP
ejpam-4780	45	13	the	the	DET
ejpam-4780	45	14	non	non	ADJ
ejpam-4780	45	15	-	-	ADJ
ejpam-4780	45	16	archimedean	archimedean	ADJ
ejpam-4780	45	17	epsilon	epsilon	PROPN
ejpam-4780	45	18	have	have	AUX
ejpam-4780	45	19	been	be	AUX
ejpam-4780	45	20	used	use	VERB
ejpam-4780	45	21	in	in	ADP
ejpam-4780	45	22	previous	previous	ADJ
ejpam-4780	45	23	works	work	NOUN
ejpam-4780	45	24	.	.	PUNCT
ejpam-4780	46	1	here	here	ADV
ejpam-4780	46	2	,	,	PUNCT
ejpam-4780	46	3	our	our	PRON
ejpam-4780	46	4	novelty	novelty	NOUN
ejpam-4780	46	5	approach	approach	NOUN
ejpam-4780	46	6	is	be	AUX
ejpam-4780	46	7	to	to	PART
ejpam-4780	46	8	use	use	VERB
ejpam-4780	46	9	mabc	mabc	NOUN
ejpam-4780	46	10	for	for	ADP
ejpam-4780	46	11	the	the	DET
ejpam-4780	46	12	first	first	ADJ
ejpam-4780	46	13	time	time	NOUN
ejpam-4780	46	14	in	in	ADP
ejpam-4780	46	15	this	this	DET
ejpam-4780	46	16	area	area	NOUN
ejpam-4780	46	17	.	.	PUNCT
ejpam-4780	47	1	then	then	ADV
ejpam-4780	47	2	the	the	DET
ejpam-4780	47	3	performance	performance	NOUN
ejpam-4780	47	4	of	of	ADP
ejpam-4780	47	5	our	our	PRON
ejpam-4780	47	6	proposed	propose	VERB
ejpam-4780	47	7	algorithm	algorithm	NOUN
ejpam-4780	47	8	is	be	AUX
ejpam-4780	47	9	evaluated	evaluate	VERB
ejpam-4780	47	10	based	base	VERB
ejpam-4780	47	11	on	on	ADP
ejpam-4780	47	12	the	the	DET
ejpam-4780	47	13	provided	provide	VERB
ejpam-4780	47	14	examples	example	NOUN
ejpam-4780	47	15	.	.	PUNCT
ejpam-4780	48	1	as	as	ADP
ejpam-4780	48	2	a	a	DET
ejpam-4780	48	3	result	result	NOUN
ejpam-4780	48	4	,	,	PUNCT
ejpam-4780	48	5	we	we	PRON
ejpam-4780	48	6	can	can	AUX
ejpam-4780	48	7	s.	s.	PROPN
ejpam-4780	48	8	zeidani	zeidani	PROPN
ejpam-4780	48	9	et	et	PROPN
ejpam-4780	48	10	al	al	PROPN
ejpam-4780	48	11	.	.	PUNCT
ejpam-4780	48	12	/	/	SYM
ejpam-4780	48	13	eur	eur	PROPN
ejpam-4780	48	14	.	.	PUNCT
ejpam-4780	49	1	j.	j.	PROPN
ejpam-4780	49	2	pure	pure	PROPN
ejpam-4780	49	3	appl	appl	PROPN
ejpam-4780	49	4	.	.	PROPN
ejpam-4780	49	5	math	math	PROPN
ejpam-4780	49	6	,	,	PUNCT
ejpam-4780	49	7	16	16	NUM
ejpam-4780	49	8	(	(	PUNCT
ejpam-4780	49	9	3	3	NUM
ejpam-4780	49	10	)	)	PUNCT
ejpam-4780	49	11	(	(	PUNCT
ejpam-4780	49	12	2023	2023	NUM
ejpam-4780	49	13	)	)	PUNCT
ejpam-4780	49	14	,	,	PUNCT
ejpam-4780	49	15	1608	1608	NUM
ejpam-4780	49	16	-	-	SYM
ejpam-4780	49	17	1623	1623	NUM
ejpam-4780	49	18	1610	1610	NUM
ejpam-4780	49	19	evaluate	evaluate	VERB
ejpam-4780	49	20	technical	technical	ADJ
ejpam-4780	49	21	efficiency	efficiency	NOUN
ejpam-4780	49	22	of	of	ADP
ejpam-4780	49	23	dmus	dmus	NOUN
ejpam-4780	49	24	based	base	VERB
ejpam-4780	49	25	on	on	ADP
ejpam-4780	49	26	the	the	DET
ejpam-4780	49	27	mabc	mabc	ADJ
ejpam-4780	49	28	algorithm	algorithm	NOUN
ejpam-4780	49	29	.	.	PUNCT
ejpam-4780	50	1	finally	finally	ADV
ejpam-4780	50	2	,	,	PUNCT
ejpam-4780	50	3	the	the	DET
ejpam-4780	50	4	mabc	mabc	ADJ
ejpam-4780	50	5	algorithm	algorithm	NOUN
ejpam-4780	50	6	can	can	AUX
ejpam-4780	50	7	help	help	VERB
ejpam-4780	50	8	the	the	DET
ejpam-4780	50	9	decision	decision	NOUN
ejpam-4780	50	10	maker	maker	NOUN
ejpam-4780	50	11	to	to	PART
ejpam-4780	50	12	correctly	correctly	ADV
ejpam-4780	50	13	identify	identify	VERB
ejpam-4780	50	14	the	the	DET
ejpam-4780	50	15	efficient	efficient	ADJ
ejpam-4780	50	16	unit	unit	NOUN
ejpam-4780	50	17	without	without	ADP
ejpam-4780	50	18	the	the	DET
ejpam-4780	50	19	need	need	NOUN
ejpam-4780	50	20	to	to	PART
ejpam-4780	50	21	solve	solve	VERB
ejpam-4780	50	22	many	many	ADJ
ejpam-4780	50	23	linear	linear	ADJ
ejpam-4780	50	24	programming	programming	NOUN
ejpam-4780	50	25	models	model	NOUN
ejpam-4780	50	26	and	and	CCONJ
ejpam-4780	50	27	regardless	regardless	ADV
ejpam-4780	50	28	of	of	ADP
ejpam-4780	50	29	the	the	DET
ejpam-4780	50	30	size	size	NOUN
ejpam-4780	50	31	of	of	ADP
ejpam-4780	50	32	the	the	DET
ejpam-4780	50	33	problem	problem	NOUN
ejpam-4780	50	34	.	.	PUNCT
ejpam-4780	51	1	the	the	DET
ejpam-4780	51	2	paper	paper	NOUN
ejpam-4780	51	3	is	be	AUX
ejpam-4780	51	4	organized	organize	VERB
ejpam-4780	51	5	as	as	SCONJ
ejpam-4780	51	6	follows	follow	VERB
ejpam-4780	51	7	.	.	PUNCT
ejpam-4780	52	1	section	section	NOUN
ejpam-4780	52	2	2	2	NUM
ejpam-4780	52	3	reviews	review	VERB
ejpam-4780	52	4	the	the	DET
ejpam-4780	52	5	preliminaries	preliminary	NOUN
ejpam-4780	52	6	of	of	ADP
ejpam-4780	52	7	dea	dea	PROPN
ejpam-4780	52	8	and	and	CCONJ
ejpam-4780	52	9	this	this	DET
ejpam-4780	52	10	section	section	NOUN
ejpam-4780	52	11	also	also	ADV
ejpam-4780	52	12	contains	contain	VERB
ejpam-4780	52	13	the	the	DET
ejpam-4780	52	14	procedure	procedure	NOUN
ejpam-4780	52	15	of	of	ADP
ejpam-4780	52	16	abc	abc	PROPN
ejpam-4780	52	17	and	and	CCONJ
ejpam-4780	52	18	mabc	mabc	ADJ
ejpam-4780	52	19	algorithms	algorithm	NOUN
ejpam-4780	52	20	.	.	PUNCT
ejpam-4780	53	1	the	the	DET
ejpam-4780	53	2	analyses	analysis	NOUN
ejpam-4780	53	3	and	and	CCONJ
ejpam-4780	53	4	results	result	NOUN
ejpam-4780	53	5	from	from	ADP
ejpam-4780	53	6	abc	abc	PROPN
ejpam-4780	53	7	and	and	CCONJ
ejpam-4780	53	8	modified	modify	VERB
ejpam-4780	53	9	abc	abc	PROPN
ejpam-4780	53	10	algorithms	algorithms	PROPN
ejpam-4780	53	11	and	and	CCONJ
ejpam-4780	53	12	gams	gams	PROPN
ejpam-4780	53	13	software	software	NOUN
ejpam-4780	53	14	for	for	ADP
ejpam-4780	53	15	finding	find	VERB
ejpam-4780	53	16	the	the	DET
ejpam-4780	53	17	non	non	ADJ
ejpam-4780	53	18	archimedean	archimedean	PROPN
ejpam-4780	53	19	epsilon	epsilon	PROPN
ejpam-4780	53	20	are	be	AUX
ejpam-4780	53	21	detailed	detail	VERB
ejpam-4780	53	22	in	in	ADP
ejpam-4780	53	23	sections	section	NOUN
ejpam-4780	53	24	3	3	NUM
ejpam-4780	53	25	and	and	CCONJ
ejpam-4780	53	26	4	4	NUM
ejpam-4780	53	27	.	.	PUNCT
ejpam-4780	54	1	finally	finally	ADV
ejpam-4780	54	2	,	,	PUNCT
ejpam-4780	54	3	section	section	NOUN
ejpam-4780	54	4	5	5	NUM
ejpam-4780	54	5	concludes	conclude	VERB
ejpam-4780	54	6	this	this	DET
ejpam-4780	54	7	work	work	NOUN
ejpam-4780	54	8	.	.	PUNCT
ejpam-4780	55	1	2	2	X
ejpam-4780	55	2	.	.	X
ejpam-4780	55	3	preliminaries	preliminary	NOUN
ejpam-4780	55	4	2.1	2.1	NUM
ejpam-4780	55	5	.	.	PUNCT
ejpam-4780	56	1	data	datum	NOUN
ejpam-4780	56	2	envelopment	envelopment	ADJ
ejpam-4780	56	3	analysis	analysis	NOUN
ejpam-4780	56	4	the	the	DET
ejpam-4780	56	5	first	first	ADJ
ejpam-4780	56	6	model	model	NOUN
ejpam-4780	56	7	of	of	ADP
ejpam-4780	56	8	data	datum	NOUN
ejpam-4780	56	9	envelopment	envelopment	ADJ
ejpam-4780	56	10	analysis	analysis	NOUN
ejpam-4780	56	11	is	be	AUX
ejpam-4780	56	12	called	call	VERB
ejpam-4780	56	13	ccr	ccr	PROPN
ejpam-4780	56	14	[	[	X
ejpam-4780	56	15	7	7	NUM
ejpam-4780	56	16	]	]	PUNCT
ejpam-4780	56	17	.	.	PUNCT
ejpam-4780	57	1	in	in	ADP
ejpam-4780	57	2	this	this	DET
ejpam-4780	57	3	model	model	NOUN
ejpam-4780	57	4	,	,	PUNCT
ejpam-4780	57	5	in	in	ADP
ejpam-4780	57	6	order	order	NOUN
ejpam-4780	57	7	to	to	PART
ejpam-4780	57	8	include	include	VERB
ejpam-4780	57	9	the	the	DET
ejpam-4780	57	10	inputs	input	NOUN
ejpam-4780	57	11	and	and	CCONJ
ejpam-4780	57	12	outputs	output	NOUN
ejpam-4780	57	13	of	of	ADP
ejpam-4780	57	14	other	other	ADJ
ejpam-4780	57	15	decision	decision	NOUN
ejpam-4780	57	16	-	-	PUNCT
ejpam-4780	57	17	making	make	VERB
ejpam-4780	57	18	units	unit	NOUN
ejpam-4780	57	19	to	to	PART
ejpam-4780	57	20	determine	determine	VERB
ejpam-4780	57	21	the	the	DET
ejpam-4780	57	22	optimal	optimal	ADJ
ejpam-4780	57	23	weight	weight	NOUN
ejpam-4780	57	24	of	of	ADP
ejpam-4780	57	25	the	the	DET
ejpam-4780	57	26	unit	unit	NOUN
ejpam-4780	57	27	under	under	ADP
ejpam-4780	57	28	study	study	NOUN
ejpam-4780	57	29	and	and	CCONJ
ejpam-4780	57	30	also	also	ADV
ejpam-4780	57	31	to	to	PART
ejpam-4780	57	32	determine	determine	VERB
ejpam-4780	57	33	the	the	DET
ejpam-4780	57	34	highest	high	ADJ
ejpam-4780	57	35	efficiency	efficiency	NOUN
ejpam-4780	57	36	ratio	ratio	NOUN
ejpam-4780	57	37	.	.	PUNCT
ejpam-4780	58	1	assume	assume	VERB
ejpam-4780	58	2	that	that	SCONJ
ejpam-4780	58	3	we	we	PRON
ejpam-4780	58	4	have	have	VERB
ejpam-4780	58	5	n	n	NUM
ejpam-4780	58	6	dmus	dmus	VERB
ejpam-4780	58	7	,	,	PUNCT
ejpam-4780	58	8	dmuj	dmuj	INTJ
ejpam-4780	58	9	,	,	PUNCT
ejpam-4780	58	10	j	j	PROPN
ejpam-4780	58	11	∈	∈	PROPN
ejpam-4780	58	12	{	{	PUNCT
ejpam-4780	58	13	1	1	NUM
ejpam-4780	58	14	,	,	PUNCT
ejpam-4780	58	15	2	2	NUM
ejpam-4780	58	16	,	,	PUNCT
ejpam-4780	58	17	...	...	PUNCT
ejpam-4780	58	18	,	,	PUNCT
ejpam-4780	58	19	n	n	CCONJ
ejpam-4780	58	20	}	}	PUNCT
ejpam-4780	58	21	to	to	PART
ejpam-4780	58	22	be	be	AUX
ejpam-4780	58	23	evaluated	evaluate	VERB
ejpam-4780	58	24	,	,	PUNCT
ejpam-4780	58	25	each	each	DET
ejpam-4780	58	26	dmu	dmu	PROPN
ejpam-4780	58	27	using	use	VERB
ejpam-4780	58	28	m	m	PROPN
ejpam-4780	58	29	inputs	input	NOUN
ejpam-4780	58	30	to	to	PART
ejpam-4780	58	31	produce	produce	VERB
ejpam-4780	58	32	s	s	PART
ejpam-4780	58	33	outputs	output	NOUN
ejpam-4780	58	34	.	.	PUNCT
ejpam-4780	59	1	xj={x1j	xj={x1j	PROPN
ejpam-4780	59	2	,	,	PUNCT
ejpam-4780	59	3	...	...	PUNCT
ejpam-4780	59	4	,	,	PUNCT
ejpam-4780	59	5	xmj	xmj	PART
ejpam-4780	59	6	}	}	PUNCT
ejpam-4780	59	7	and	and	CCONJ
ejpam-4780	59	8	y	y	PROPN
ejpam-4780	59	9	j={y1j	j={y1j	PROPN
ejpam-4780	59	10	,	,	PUNCT
ejpam-4780	59	11	...	...	PUNCT
ejpam-4780	59	12	,	,	PUNCT
ejpam-4780	59	13	ysj	ysj	NOUN
ejpam-4780	59	14	}	}	PUNCT
ejpam-4780	59	15	are	be	AUX
ejpam-4780	59	16	the	the	DET
ejpam-4780	59	17	input	input	NOUN
ejpam-4780	59	18	and	and	CCONJ
ejpam-4780	59	19	output	output	NOUN
ejpam-4780	59	20	vectors	vector	NOUN
ejpam-4780	59	21	of	of	ADP
ejpam-4780	59	22	dmuj	dmuj	NOUN
ejpam-4780	59	23	respectively	respectively	ADV
ejpam-4780	59	24	,	,	PUNCT
ejpam-4780	59	25	in	in	ADP
ejpam-4780	59	26	which	which	PRON
ejpam-4780	59	27	xjyj	xjyj	PROPN
ejpam-4780	59	28	≥	≥	X
ejpam-4780	59	29	0	0	NUM
ejpam-4780	59	30	and	and	CCONJ
ejpam-4780	59	31	xj	xj	PROPN
ejpam-4780	59	32	,	,	PUNCT
ejpam-4780	59	33	yj	yj	PROPN
ejpam-4780	59	34	̸=	̸=	PROPN
ejpam-4780	59	35	0	0	NUM
ejpam-4780	59	36	.	.	PUNCT
ejpam-4780	60	1	the	the	DET
ejpam-4780	60	2	virtual	virtual	ADJ
ejpam-4780	60	3	input	input	NOUN
ejpam-4780	60	4	and	and	CCONJ
ejpam-4780	60	5	output	output	NOUN
ejpam-4780	60	6	are	be	AUX
ejpam-4780	60	7	formed	form	VERB
ejpam-4780	60	8	with	with	ADP
ejpam-4780	60	9	weights	weight	NOUN
ejpam-4780	60	10	vi	vi	PROPN
ejpam-4780	60	11	and	and	CCONJ
ejpam-4780	60	12	ur	ur	INTJ
ejpam-4780	60	13	(	(	PUNCT
ejpam-4780	60	14	yet	yet	ADV
ejpam-4780	60	15	unknown	unknown	ADJ
ejpam-4780	60	16	)	)	PUNCT
ejpam-4780	60	17	.	.	PUNCT
ejpam-4780	61	1	virtual	virtual	ADJ
ejpam-4780	61	2	input	input	NOUN
ejpam-4780	61	3	=	=	PUNCT
ejpam-4780	61	4	v1x1o	v1x1o	PRON
ejpam-4780	61	5	+	+	NUM
ejpam-4780	61	6	...	...	PUNCT
ejpam-4780	62	1	+	+	CCONJ
ejpam-4780	62	2	vmxmo	vmxmo	ADJ
ejpam-4780	62	3	.	.	PUNCT
ejpam-4780	63	1	virtual	virtual	ADJ
ejpam-4780	63	2	output	output	NOUN
ejpam-4780	63	3	=	=	SYM
ejpam-4780	63	4	u1y1o	u1y1o	PUNCT
ejpam-4780	63	5	+	+	CCONJ
ejpam-4780	63	6	...	...	PUNCT
ejpam-4780	64	1	+	+	NUM
ejpam-4780	64	2	usyso	usyso	NOUN
ejpam-4780	64	3	.	.	PUNCT
ejpam-4780	65	1	then	then	ADV
ejpam-4780	65	2	,	,	PUNCT
ejpam-4780	65	3	using	use	VERB
ejpam-4780	65	4	the	the	DET
ejpam-4780	65	5	basic	basic	ADJ
ejpam-4780	65	6	model	model	NOUN
ejpam-4780	65	7	introduced	introduce	VERB
ejpam-4780	65	8	below	below	ADV
ejpam-4780	65	9	,	,	PUNCT
ejpam-4780	65	10	the	the	DET
ejpam-4780	65	11	weight	weight	NOUN
ejpam-4780	65	12	is	be	AUX
ejpam-4780	65	13	determined	determine	VERB
ejpam-4780	65	14	to	to	PART
ejpam-4780	65	15	reach	reach	VERB
ejpam-4780	65	16	the	the	DET
ejpam-4780	65	17	maximum	maximum	ADJ
ejpam-4780	65	18	ratio	ratio	NOUN
ejpam-4780	65	19	.	.	PUNCT
ejpam-4780	66	1	max	max	PROPN
ejpam-4780	66	2	∑s	∑s	PROPN
ejpam-4780	66	3	r=1	r=1	PROPN
ejpam-4780	66	4	uryro∑m	uryro∑m	X
ejpam-4780	66	5	i=1	i=1	PROPN
ejpam-4780	66	6	vixio	vixio	PROPN
ejpam-4780	66	7	∑s	∑s	PROPN
ejpam-4780	66	8	r=1	r=1	NOUN
ejpam-4780	66	9	uryrj∑m	uryrj∑m	ADJ
ejpam-4780	66	10	i=1	i=1	PROPN
ejpam-4780	66	11	vixij	vixij	PROPN
ejpam-4780	66	12	≤	≤	ADV
ejpam-4780	66	13	1	1	NUM
ejpam-4780	66	14	j	j	NOUN
ejpam-4780	66	15	=	=	SYM
ejpam-4780	66	16	1	1	NUM
ejpam-4780	66	17	,	,	PUNCT
ejpam-4780	66	18	2	2	NUM
ejpam-4780	66	19	,	,	PUNCT
ejpam-4780	66	20	...	...	PUNCT
ejpam-4780	66	21	,	,	PUNCT
ejpam-4780	66	22	n	n	PROPN
ejpam-4780	66	23	vi	vi	NOUN
ejpam-4780	66	24	≥	≥	NOUN
ejpam-4780	66	25	0	0	PUNCT
ejpam-4780	67	1	i	i	NOUN
ejpam-4780	67	2	=	=	NOUN
ejpam-4780	67	3	1	1	NUM
ejpam-4780	67	4	,	,	PUNCT
ejpam-4780	67	5	2	2	NUM
ejpam-4780	67	6	,	,	PUNCT
ejpam-4780	67	7	...	...	PUNCT
ejpam-4780	67	8	,	,	PUNCT
ejpam-4780	67	9	m	m	VERB
ejpam-4780	67	10	ur	ur	INTJ
ejpam-4780	67	11	≥	≥	NOUN
ejpam-4780	67	12	0	0	NUM
ejpam-4780	67	13	r	r	NOUN
ejpam-4780	67	14	=	=	SYM
ejpam-4780	67	15	1	1	NUM
ejpam-4780	67	16	,	,	PUNCT
ejpam-4780	67	17	2	2	NUM
ejpam-4780	67	18	,	,	PUNCT
ejpam-4780	67	19	...	...	PUNCT
ejpam-4780	67	20	,	,	PUNCT
ejpam-4780	67	21	s	s	X
ejpam-4780	67	22	(	(	PUNCT
ejpam-4780	67	23	1	1	NUM
ejpam-4780	67	24	)	)	PUNCT
ejpam-4780	67	25	this	this	DET
ejpam-4780	67	26	problem	problem	NOUN
ejpam-4780	67	27	is	be	AUX
ejpam-4780	67	28	denominated	denominate	VERB
ejpam-4780	67	29	the	the	DET
ejpam-4780	67	30	ccr	ccr	PROPN
ejpam-4780	67	31	fractional	fractional	PROPN
ejpam-4780	67	32	model	model	NOUN
ejpam-4780	67	33	.	.	PUNCT
ejpam-4780	68	1	at	at	ADP
ejpam-4780	68	2	the	the	DET
ejpam-4780	68	3	suggestion	suggestion	NOUN
ejpam-4780	68	4	of	of	ADP
ejpam-4780	68	5	charnes	charne	NOUN
ejpam-4780	68	6	and	and	CCONJ
ejpam-4780	68	7	cooper	cooper	NOUN
ejpam-4780	68	8	,	,	PUNCT
ejpam-4780	68	9	by	by	ADP
ejpam-4780	68	10	imposing	impose	VERB
ejpam-4780	68	11	constraints	constraint	NOUN
ejpam-4780	68	12	on	on	ADP
ejpam-4780	68	13	the	the	DET
ejpam-4780	68	14	ccr	ccr	PROPN
ejpam-4780	68	15	fractional	fractional	PROPN
ejpam-4780	68	16	programming	programming	NOUN
ejpam-4780	68	17	model	model	NOUN
ejpam-4780	68	18	,	,	PUNCT
ejpam-4780	68	19	this	this	DET
ejpam-4780	68	20	model	model	NOUN
ejpam-4780	68	21	became	become	VERB
ejpam-4780	68	22	the	the	DET
ejpam-4780	68	23	following	follow	VERB
ejpam-4780	68	24	linear	linear	PROPN
ejpam-4780	68	25	programming	programming	NOUN
ejpam-4780	68	26	model	model	NOUN
ejpam-4780	68	27	,	,	PUNCT
ejpam-4780	68	28	in	in	ADP
ejpam-4780	68	29	which	which	PRON
ejpam-4780	68	30	dmuo	dmuo	NOUN
ejpam-4780	68	31	,	,	PUNCT
ejpam-4780	68	32	o	o	PROPN
ejpam-4780	68	33	∈	∈	PROPN
ejpam-4780	68	34	{	{	PUNCT
ejpam-4780	68	35	1	1	NUM
ejpam-4780	68	36	,	,	PUNCT
ejpam-4780	68	37	2	2	NUM
ejpam-4780	68	38	,	,	PUNCT
ejpam-4780	68	39	...	...	PUNCT
ejpam-4780	68	40	,	,	PUNCT
ejpam-4780	68	41	n	n	CCONJ
ejpam-4780	68	42	}	}	PUNCT
ejpam-4780	68	43	is	be	AUX
ejpam-4780	68	44	the	the	DET
ejpam-4780	68	45	unit	unit	NOUN
ejpam-4780	68	46	under	under	ADP
ejpam-4780	68	47	evaluation	evaluation	NOUN
ejpam-4780	68	48	.	.	PUNCT
ejpam-4780	69	1	maxzo=	maxzo=	NUM
ejpam-4780	69	2	∑s	∑s	PROPN
ejpam-4780	69	3	r=1	r=1	ADJ
ejpam-4780	69	4	uryro∑s	uryro∑s	NOUN
ejpam-4780	69	5	r=1	r=1	NOUN
ejpam-4780	69	6	uryrj	uryrj	NOUN
ejpam-4780	69	7	−	−	PROPN
ejpam-4780	69	8	∑m	∑m	PROPN
ejpam-4780	69	9	i=1	i=1	PROPN
ejpam-4780	70	1	vixij	vixij	PROPN
ejpam-4780	70	2	≤	≤	PROPN
ejpam-4780	70	3	0	0	NUM
ejpam-4780	71	1	j	j	NOUN
ejpam-4780	71	2	=	=	SYM
ejpam-4780	71	3	1	1	NUM
ejpam-4780	71	4	,	,	PUNCT
ejpam-4780	71	5	2	2	NUM
ejpam-4780	71	6	,	,	PUNCT
ejpam-4780	71	7	...	...	PUNCT
ejpam-4780	71	8	,	,	PUNCT
ejpam-4780	71	9	n∑m	n∑m	PROPN
ejpam-4780	71	10	i=1	i=1	PROPN
ejpam-4780	71	11	vixio	vixio	NOUN
ejpam-4780	71	12	=	=	SYM
ejpam-4780	71	13	1	1	NUM
ejpam-4780	71	14	vi	vi	NOUN
ejpam-4780	71	15	≥	≥	NOUN
ejpam-4780	71	16	0	0	PUNCT
ejpam-4780	72	1	i	i	NOUN
ejpam-4780	72	2	=	=	NOUN
ejpam-4780	72	3	1	1	NUM
ejpam-4780	72	4	,	,	PUNCT
ejpam-4780	72	5	2	2	NUM
ejpam-4780	72	6	,	,	PUNCT
ejpam-4780	72	7	...	...	PUNCT
ejpam-4780	72	8	,	,	PUNCT
ejpam-4780	72	9	m	m	VERB
ejpam-4780	72	10	ur	ur	INTJ
ejpam-4780	72	11	≥	≥	NOUN
ejpam-4780	72	12	0	0	NUM
ejpam-4780	72	13	r	r	NOUN
ejpam-4780	72	14	=	=	SYM
ejpam-4780	72	15	1	1	NUM
ejpam-4780	72	16	,	,	PUNCT
ejpam-4780	72	17	2	2	NUM
ejpam-4780	72	18	,	,	PUNCT
ejpam-4780	72	19	...	...	PUNCT
ejpam-4780	72	20	,	,	PUNCT
ejpam-4780	72	21	s	s	X
ejpam-4780	72	22	(	(	PUNCT
ejpam-4780	72	23	2	2	NUM
ejpam-4780	72	24	)	)	PUNCT
ejpam-4780	72	25	model	model	NOUN
ejpam-4780	72	26	(	(	PUNCT
ejpam-4780	72	27	2	2	NUM
ejpam-4780	72	28	)	)	PUNCT
ejpam-4780	72	29	states	state	VERB
ejpam-4780	72	30	that	that	SCONJ
ejpam-4780	72	31	if	if	SCONJ
ejpam-4780	72	32	the	the	DET
ejpam-4780	72	33	optimal	optimal	ADJ
ejpam-4780	72	34	value	value	NOUN
ejpam-4780	72	35	of	of	ADP
ejpam-4780	72	36	the	the	DET
ejpam-4780	72	37	objective	objective	ADJ
ejpam-4780	72	38	function	function	NOUN
ejpam-4780	72	39	is	be	AUX
ejpam-4780	72	40	equal	equal	ADJ
ejpam-4780	72	41	to	to	ADP
ejpam-4780	72	42	1	1	NUM
ejpam-4780	72	43	and	and	CCONJ
ejpam-4780	72	44	there	there	PRON
ejpam-4780	72	45	is	be	VERB
ejpam-4780	72	46	at	at	ADV
ejpam-4780	72	47	least	least	ADJ
ejpam-4780	72	48	one	one	NUM
ejpam-4780	72	49	optimal	optimal	ADJ
ejpam-4780	72	50	solution	solution	NOUN
ejpam-4780	72	51	with	with	ADP
ejpam-4780	72	52	all	all	DET
ejpam-4780	72	53	i	i	PRON
ejpam-4780	72	54	and	and	CCONJ
ejpam-4780	72	55	r	r	PROPN
ejpam-4780	72	56	,	,	PUNCT
ejpam-4780	72	57	vi	vi	NOUN
ejpam-4780	72	58	>	>	NOUN
ejpam-4780	72	59	0,ur	0,ur	NOUN
ejpam-4780	72	60	>	>	X
ejpam-4780	72	61	0	0	NUM
ejpam-4780	73	1	it	it	PRON
ejpam-4780	73	2	will	will	AUX
ejpam-4780	73	3	be	be	AUX
ejpam-4780	73	4	strong	strong	ADJ
ejpam-4780	73	5	efficient	efficient	ADJ
ejpam-4780	73	6	.	.	PUNCT
ejpam-4780	74	1	in	in	ADP
ejpam-4780	74	2	s.	s.	PROPN
ejpam-4780	74	3	zeidani	zeidani	PROPN
ejpam-4780	74	4	et	et	PROPN
ejpam-4780	74	5	al	al	PROPN
ejpam-4780	74	6	.	.	PUNCT
ejpam-4780	74	7	/	/	SYM
ejpam-4780	74	8	eur	eur	PROPN
ejpam-4780	74	9	.	.	PUNCT
ejpam-4780	75	1	j.	j.	PROPN
ejpam-4780	75	2	pure	pure	PROPN
ejpam-4780	75	3	appl	appl	PROPN
ejpam-4780	75	4	.	.	PROPN
ejpam-4780	75	5	math	math	PROPN
ejpam-4780	75	6	,	,	PUNCT
ejpam-4780	75	7	16	16	NUM
ejpam-4780	75	8	(	(	PUNCT
ejpam-4780	75	9	3	3	NUM
ejpam-4780	75	10	)	)	PUNCT
ejpam-4780	75	11	(	(	PUNCT
ejpam-4780	75	12	2023	2023	NUM
ejpam-4780	75	13	)	)	PUNCT
ejpam-4780	75	14	,	,	PUNCT
ejpam-4780	75	15	1608	1608	NUM
ejpam-4780	75	16	-	-	SYM
ejpam-4780	75	17	1623	1623	NUM
ejpam-4780	75	18	1611	1611	NUM
ejpam-4780	75	19	order	order	NOUN
ejpam-4780	75	20	to	to	PART
ejpam-4780	75	21	find	find	VERB
ejpam-4780	75	22	the	the	DET
ejpam-4780	75	23	strong	strong	ADJ
ejpam-4780	75	24	efficiency	efficiency	NOUN
ejpam-4780	75	25	units	unit	NOUN
ejpam-4780	75	26	,	,	PUNCT
ejpam-4780	75	27	both	both	DET
ejpam-4780	75	28	models	model	NOUN
ejpam-4780	75	29	3	3	NUM
ejpam-4780	75	30	and	and	CCONJ
ejpam-4780	75	31	4	4	NUM
ejpam-4780	75	32	are	be	AUX
ejpam-4780	75	33	solved	solve	VERB
ejpam-4780	75	34	simultaneously	simultaneously	ADV
ejpam-4780	75	35	.	.	PUNCT
ejpam-4780	76	1	max	max	PROPN
ejpam-4780	76	2	ε∑s	ε∑s	PROPN
ejpam-4780	76	3	r=1	r=1	NOUN
ejpam-4780	76	4	uryrj	uryrj	NOUN
ejpam-4780	76	5	−	−	PROPN
ejpam-4780	76	6	∑m	∑m	PROPN
ejpam-4780	76	7	i=1	i=1	PROPN
ejpam-4780	77	1	vixij	vixij	PROPN
ejpam-4780	77	2	≤	≤	PROPN
ejpam-4780	77	3	0	0	NUM
ejpam-4780	78	1	j	j	NOUN
ejpam-4780	78	2	=	=	SYM
ejpam-4780	78	3	1	1	NUM
ejpam-4780	78	4	,	,	PUNCT
ejpam-4780	78	5	2	2	NUM
ejpam-4780	78	6	,	,	PUNCT
ejpam-4780	78	7	...	...	PUNCT
ejpam-4780	78	8	,	,	PUNCT
ejpam-4780	78	9	n∑m	n∑m	PROPN
ejpam-4780	78	10	i=1	i=1	PROPN
ejpam-4780	78	11	vixij	vixij	PROPN
ejpam-4780	78	12	≤	≤	PROPN
ejpam-4780	78	13	1	1	NUM
ejpam-4780	78	14	j	j	NOUN
ejpam-4780	78	15	=	=	SYM
ejpam-4780	78	16	1	1	NUM
ejpam-4780	78	17	,	,	PUNCT
ejpam-4780	78	18	2	2	NUM
ejpam-4780	78	19	,	,	PUNCT
ejpam-4780	78	20	...	...	PUNCT
ejpam-4780	78	21	,	,	PUNCT
ejpam-4780	78	22	n	n	PROPN
ejpam-4780	78	23	vi	vi	NOUN
ejpam-4780	78	24	−	−	PROPN
ejpam-4780	78	25	ε	ε	PROPN
ejpam-4780	78	26	≥	≥	NOUN
ejpam-4780	78	27	0	0	PUNCT
ejpam-4780	78	28	i	i	NOUN
ejpam-4780	78	29	=	=	NOUN
ejpam-4780	78	30	1	1	NUM
ejpam-4780	78	31	,	,	PUNCT
ejpam-4780	78	32	2	2	NUM
ejpam-4780	78	33	,	,	PUNCT
ejpam-4780	78	34	...	...	PUNCT
ejpam-4780	78	35	,	,	PUNCT
ejpam-4780	78	36	m	m	VERB
ejpam-4780	78	37	ur	ur	INTJ
ejpam-4780	78	38	−	−	PROPN
ejpam-4780	78	39	ε	ε	PROPN
ejpam-4780	78	40	≥	≥	NOUN
ejpam-4780	78	41	0	0	NUM
ejpam-4780	78	42	r	r	NOUN
ejpam-4780	78	43	=	=	SYM
ejpam-4780	78	44	1	1	NUM
ejpam-4780	78	45	,	,	PUNCT
ejpam-4780	78	46	2	2	NUM
ejpam-4780	78	47	,	,	PUNCT
ejpam-4780	78	48	...	...	PUNCT
ejpam-4780	78	49	,	,	PUNCT
ejpam-4780	78	50	s	s	X
ejpam-4780	78	51	(	(	PUNCT
ejpam-4780	78	52	3	3	NUM
ejpam-4780	78	53	)	)	PUNCT
ejpam-4780	78	54	optimal	optimal	ADJ
ejpam-4780	78	55	solution	solution	NOUN
ejpam-4780	78	56	of	of	ADP
ejpam-4780	78	57	this	this	DET
ejpam-4780	78	58	model	model	NOUN
ejpam-4780	78	59	(	(	PUNCT
ejpam-4780	78	60	ε∗	ε∗	PROPN
ejpam-4780	78	61	)	)	PUNCT
ejpam-4780	78	62	can	can	AUX
ejpam-4780	78	63	be	be	AUX
ejpam-4780	78	64	considered	consider	VERB
ejpam-4780	78	65	as	as	ADP
ejpam-4780	78	66	a	a	DET
ejpam-4780	78	67	lower	lower	ADV
ejpam-4780	78	68	bound	bind	VERB
ejpam-4780	78	69	for	for	ADP
ejpam-4780	78	70	the	the	DET
ejpam-4780	78	71	variables	variable	NOUN
ejpam-4780	78	72	vi	vi	PROPN
ejpam-4780	79	1	and	and	CCONJ
ejpam-4780	79	2	ur	ur	INTJ
ejpam-4780	79	3	in	in	ADP
ejpam-4780	79	4	the	the	DET
ejpam-4780	79	5	multiplier	multipli	ADJ
ejpam-4780	79	6	ccr	ccr	PROPN
ejpam-4780	79	7	model	model	PROPN
ejpam-4780	79	8	.	.	PUNCT
ejpam-4780	80	1	maxzo=	maxzo=	NUM
ejpam-4780	80	2	∑s	∑s	PROPN
ejpam-4780	80	3	r=1	r=1	ADJ
ejpam-4780	80	4	uryro∑s	uryro∑s	NOUN
ejpam-4780	80	5	r=1	r=1	NOUN
ejpam-4780	80	6	uryrj	uryrj	NOUN
ejpam-4780	80	7	−	−	PROPN
ejpam-4780	80	8	∑m	∑m	PROPN
ejpam-4780	80	9	i=1	i=1	PROPN
ejpam-4780	81	1	vixij	vixij	PROPN
ejpam-4780	81	2	≤	≤	PROPN
ejpam-4780	81	3	0	0	NUM
ejpam-4780	82	1	j	j	NOUN
ejpam-4780	82	2	=	=	SYM
ejpam-4780	82	3	1	1	NUM
ejpam-4780	82	4	,	,	PUNCT
ejpam-4780	82	5	2	2	NUM
ejpam-4780	82	6	,	,	PUNCT
ejpam-4780	82	7	...	...	PUNCT
ejpam-4780	82	8	,	,	PUNCT
ejpam-4780	82	9	n∑m	n∑m	PROPN
ejpam-4780	82	10	i=1	i=1	PROPN
ejpam-4780	82	11	vixio	vixio	NOUN
ejpam-4780	82	12	=	=	SYM
ejpam-4780	82	13	1	1	NUM
ejpam-4780	82	14	vi	vi	NOUN
ejpam-4780	82	15	≥	≥	NOUN
ejpam-4780	82	16	ε∗	ε∗	PROPN
ejpam-4780	82	17	,	,	PUNCT
ejpam-4780	82	18	i	i	NOUN
ejpam-4780	82	19	=	=	NOUN
ejpam-4780	82	20	1	1	NUM
ejpam-4780	82	21	,	,	PUNCT
ejpam-4780	82	22	2	2	NUM
ejpam-4780	82	23	,	,	PUNCT
ejpam-4780	82	24	...	...	PUNCT
ejpam-4780	82	25	,	,	PUNCT
ejpam-4780	82	26	m	m	AUX
ejpam-4780	82	27	ur	ur	INTJ
ejpam-4780	82	28	≥	≥	NOUN
ejpam-4780	82	29	ε∗	ε∗	PROPN
ejpam-4780	82	30	,	,	PUNCT
ejpam-4780	82	31	r	r	NOUN
ejpam-4780	82	32	=	=	SYM
ejpam-4780	82	33	1	1	NUM
ejpam-4780	82	34	,	,	PUNCT
ejpam-4780	82	35	2	2	NUM
ejpam-4780	82	36	,	,	PUNCT
ejpam-4780	82	37	...	...	PUNCT
ejpam-4780	82	38	,	,	PUNCT
ejpam-4780	82	39	s	s	X
ejpam-4780	82	40	(	(	PUNCT
ejpam-4780	82	41	4	4	NUM
ejpam-4780	82	42	)	)	PUNCT
ejpam-4780	82	43	epsilon	epsilon	PROPN
ejpam-4780	82	44	is	be	AUX
ejpam-4780	82	45	used	use	VERB
ejpam-4780	82	46	to	to	PART
ejpam-4780	82	47	prevent	prevent	VERB
ejpam-4780	82	48	the	the	DET
ejpam-4780	82	49	removal	removal	NOUN
ejpam-4780	82	50	of	of	ADP
ejpam-4780	82	51	inputs	input	NOUN
ejpam-4780	82	52	and	and	CCONJ
ejpam-4780	82	53	outputs	output	NOUN
ejpam-4780	82	54	due	due	ADP
ejpam-4780	82	55	to	to	ADP
ejpam-4780	82	56	weights	weight	NOUN
ejpam-4780	82	57	being	be	AUX
ejpam-4780	82	58	zero	zero	NUM
ejpam-4780	82	59	.	.	PUNCT
ejpam-4780	83	1	also	also	ADV
ejpam-4780	83	2	,	,	PUNCT
ejpam-4780	83	3	epsilon	epsilon	PROPN
ejpam-4780	83	4	is	be	AUX
ejpam-4780	83	5	called	call	VERB
ejpam-4780	83	6	a	a	DET
ejpam-4780	83	7	non	non	ADJ
ejpam-4780	83	8	-	-	ADJ
ejpam-4780	83	9	archimedean	archimedean	ADJ
ejpam-4780	83	10	infinitesimal	infinitesimal	NOUN
ejpam-4780	83	11	.	.	PUNCT
ejpam-4780	84	1	2.2	2.2	NUM
ejpam-4780	84	2	.	.	PUNCT
ejpam-4780	84	3	artificial	artificial	ADJ
ejpam-4780	84	4	bee	bee	PROPN
ejpam-4780	84	5	colony	colony	NOUN
ejpam-4780	84	6	algorithm	algorithm	NOUN
ejpam-4780	84	7	the	the	DET
ejpam-4780	84	8	abc	abc	PROPN
ejpam-4780	84	9	algorithm	algorithm	PROPN
ejpam-4780	84	10	consists	consist	VERB
ejpam-4780	84	11	of	of	ADP
ejpam-4780	84	12	two	two	NUM
ejpam-4780	84	13	search	search	NOUN
ejpam-4780	84	14	methods	method	NOUN
ejpam-4780	84	15	:	:	PUNCT
ejpam-4780	84	16	local	local	ADJ
ejpam-4780	84	17	search	search	NOUN
ejpam-4780	84	18	and	and	CCONJ
ejpam-4780	84	19	global	global	ADJ
ejpam-4780	84	20	search	search	NOUN
ejpam-4780	84	21	,	,	PUNCT
ejpam-4780	84	22	employed	employ	VERB
ejpam-4780	84	23	and	and	CCONJ
ejpam-4780	84	24	onlooker	onlooker	NOUN
ejpam-4780	84	25	bees	bee	NOUN
ejpam-4780	84	26	performed	perform	VERB
ejpam-4780	84	27	the	the	DET
ejpam-4780	84	28	local	local	ADJ
ejpam-4780	84	29	search	search	NOUN
ejpam-4780	84	30	,	,	PUNCT
ejpam-4780	84	31	and	and	CCONJ
ejpam-4780	84	32	onlookers	onlooker	NOUN
ejpam-4780	84	33	and	and	CCONJ
ejpam-4780	84	34	scouts	scout	NOUN
ejpam-4780	84	35	managed	manage	VERB
ejpam-4780	84	36	the	the	DET
ejpam-4780	84	37	global	global	ADJ
ejpam-4780	84	38	search	search	NOUN
ejpam-4780	85	1	[	[	X
ejpam-4780	85	2	15	15	NUM
ejpam-4780	85	3	]	]	PUNCT
ejpam-4780	85	4	.	.	PUNCT
ejpam-4780	86	1	in	in	ADP
ejpam-4780	86	2	the	the	DET
ejpam-4780	86	3	search	search	NOUN
ejpam-4780	86	4	space	space	NOUN
ejpam-4780	86	5	of	of	ADP
ejpam-4780	86	6	the	the	DET
ejpam-4780	86	7	abc	abc	PROPN
ejpam-4780	86	8	algorithm	algorithm	PROPN
ejpam-4780	86	9	,	,	PUNCT
ejpam-4780	86	10	employed	employ	VERB
ejpam-4780	86	11	bees	bee	NOUN
ejpam-4780	86	12	are	be	AUX
ejpam-4780	86	13	sent	send	VERB
ejpam-4780	86	14	to	to	ADP
ejpam-4780	86	15	food	food	NOUN
ejpam-4780	86	16	sources	source	NOUN
ejpam-4780	86	17	to	to	PART
ejpam-4780	86	18	measure	measure	VERB
ejpam-4780	86	19	their	their	PRON
ejpam-4780	86	20	nectar	nectar	NOUN
ejpam-4780	86	21	.	.	PUNCT
ejpam-4780	87	1	after	after	ADP
ejpam-4780	87	2	sharing	share	VERB
ejpam-4780	87	3	information	information	NOUN
ejpam-4780	87	4	with	with	ADP
ejpam-4780	87	5	the	the	DET
ejpam-4780	87	6	employed	employ	VERB
ejpam-4780	87	7	bees	bee	NOUN
ejpam-4780	87	8	,	,	PUNCT
ejpam-4780	87	9	the	the	DET
ejpam-4780	87	10	amount	amount	NOUN
ejpam-4780	87	11	of	of	ADP
ejpam-4780	87	12	nectar	nectar	NOUN
ejpam-4780	87	13	in	in	ADP
ejpam-4780	87	14	the	the	DET
ejpam-4780	87	15	food	food	NOUN
ejpam-4780	87	16	source	source	NOUN
ejpam-4780	87	17	is	be	AUX
ejpam-4780	87	18	determined	determine	VERB
ejpam-4780	87	19	and	and	CCONJ
ejpam-4780	87	20	the	the	DET
ejpam-4780	87	21	onlooker	onlooker	NOUN
ejpam-4780	87	22	bees	bee	NOUN
ejpam-4780	87	23	select	select	VERB
ejpam-4780	87	24	the	the	DET
ejpam-4780	87	25	food	food	NOUN
ejpam-4780	87	26	sources	source	NOUN
ejpam-4780	87	27	.	.	PUNCT
ejpam-4780	88	1	then	then	ADV
ejpam-4780	88	2	the	the	DET
ejpam-4780	88	3	scout	scout	NOUN
ejpam-4780	88	4	bees	bee	NOUN
ejpam-4780	88	5	are	be	AUX
ejpam-4780	88	6	sent	send	VERB
ejpam-4780	88	7	to	to	ADP
ejpam-4780	88	8	food	food	NOUN
ejpam-4780	88	9	sources	source	NOUN
ejpam-4780	88	10	after	after	ADP
ejpam-4780	88	11	identification	identification	NOUN
ejpam-4780	88	12	.	.	PUNCT
ejpam-4780	89	1	in	in	ADP
ejpam-4780	89	2	summary	summary	NOUN
ejpam-4780	89	3	,	,	PUNCT
ejpam-4780	89	4	the	the	DET
ejpam-4780	89	5	abc	abc	PROPN
ejpam-4780	89	6	algorithm	algorithm	PROPN
ejpam-4780	89	7	actually	actually	ADV
ejpam-4780	89	8	employs	employ	VERB
ejpam-4780	89	9	different	different	ADJ
ejpam-4780	89	10	selection	selection	NOUN
ejpam-4780	89	11	processes	process	NOUN
ejpam-4780	89	12	:	:	PUNCT
ejpam-4780	90	1	01	01	NUM
ejpam-4780	90	2	.	.	PUNCT
ejpam-4780	91	1	the	the	DET
ejpam-4780	91	2	overall	overall	ADJ
ejpam-4780	91	3	selection	selection	NOUN
ejpam-4780	91	4	process	process	NOUN
ejpam-4780	91	5	described	describe	VERB
ejpam-4780	91	6	by	by	ADP
ejpam-4780	91	7	artificial	artificial	ADJ
ejpam-4780	91	8	onlooker	onlooker	NOUN
ejpam-4780	91	9	bees	bee	NOUN
ejpam-4780	91	10	to	to	PART
ejpam-4780	91	11	explore	explore	VERB
ejpam-4780	91	12	the	the	DET
ejpam-4780	91	13	promising	promising	ADJ
ejpam-4780	91	14	areas	area	NOUN
ejpam-4780	91	15	described	describe	VERB
ejpam-4780	91	16	.	.	PUNCT
ejpam-4780	92	1	the	the	DET
ejpam-4780	92	2	onlooker	onlooker	NOUN
ejpam-4780	92	3	bee	bee	NOUN
ejpam-4780	92	4	selects	select	VERB
ejpam-4780	92	5	each	each	DET
ejpam-4780	92	6	food	food	NOUN
ejpam-4780	92	7	source	source	NOUN
ejpam-4780	92	8	based	base	VERB
ejpam-4780	92	9	on	on	ADP
ejpam-4780	92	10	the	the	DET
ejpam-4780	92	11	probability	probability	NOUN
ejpam-4780	92	12	value	value	NOUN
ejpam-4780	92	13	associated	associate	VERB
ejpam-4780	92	14	with	with	ADP
ejpam-4780	92	15	it	it	PRON
ejpam-4780	92	16	,	,	PUNCT
ejpam-4780	92	17	and	and	CCONJ
ejpam-4780	92	18	this	this	DET
ejpam-4780	92	19	selection	selection	NOUN
ejpam-4780	92	20	is	be	AUX
ejpam-4780	92	21	calculated	calculate	VERB
ejpam-4780	92	22	using	use	VERB
ejpam-4780	92	23	the	the	DET
ejpam-4780	92	24	following	follow	VERB
ejpam-4780	92	25	formula	formula	NOUN
ejpam-4780	92	26	:	:	PUNCT
ejpam-4780	92	27	fitnessi	fitnessi	PROPN
ejpam-4780	92	28	=	=	SYM
ejpam-4780	92	29	{	{	PUNCT
ejpam-4780	92	30	1	1	NUM
ejpam-4780	92	31	(	(	PUNCT
ejpam-4780	92	32	1+fi	1+fi	NUM
ejpam-4780	92	33	)	)	PUNCT
ejpam-4780	92	34	if	if	SCONJ
ejpam-4780	92	35	fi	fi	NOUN
ejpam-4780	92	36	≥	≥	NOUN
ejpam-4780	92	37	0	0	NUM
ejpam-4780	92	38	1	1	NUM
ejpam-4780	92	39	+	+	CCONJ
ejpam-4780	92	40	abs(fi	abs(fi	NOUN
ejpam-4780	92	41	)	)	PUNCT
ejpam-4780	92	42	if	if	SCONJ
ejpam-4780	92	43	fi	fi	NOUN
ejpam-4780	92	44	<	<	X
ejpam-4780	92	45	0	0	NUM
ejpam-4780	92	46	(	(	PUNCT
ejpam-4780	92	47	5	5	NUM
ejpam-4780	92	48	)	)	PUNCT
ejpam-4780	92	49	and	and	CCONJ
ejpam-4780	92	50	pi	pi	NOUN
ejpam-4780	92	51	=	=	SYM
ejpam-4780	92	52	fiti∑sn	fiti∑sn	PROPN
ejpam-4780	92	53	n=1	n=1	PROPN
ejpam-4780	92	54	fitn	fitn	NOUN
ejpam-4780	92	55	(	(	PUNCT
ejpam-4780	92	56	6	6	NUM
ejpam-4780	92	57	)	)	PUNCT
ejpam-4780	92	58	also	also	ADV
ejpam-4780	92	59	,	,	PUNCT
ejpam-4780	92	60	fi	fi	NOUN
ejpam-4780	92	61	is	be	AUX
ejpam-4780	92	62	the	the	DET
ejpam-4780	92	63	suitability	suitability	NOUN
ejpam-4780	92	64	of	of	ADP
ejpam-4780	92	65	solution	solution	NOUN
ejpam-4780	92	66	i	i	PRON
ejpam-4780	92	67	,	,	PUNCT
ejpam-4780	92	68	which	which	PRON
ejpam-4780	92	69	is	be	AUX
ejpam-4780	92	70	obtained	obtain	VERB
ejpam-4780	92	71	by	by	ADP
ejpam-4780	92	72	evaluating	evaluate	VERB
ejpam-4780	92	73	the	the	DET
ejpam-4780	92	74	amount	amount	NOUN
ejpam-4780	92	75	of	of	ADP
ejpam-4780	92	76	nectar	nectar	NOUN
ejpam-4780	92	77	in	in	ADP
ejpam-4780	92	78	position	position	NOUN
ejpam-4780	92	79	i.	i.	PROPN
ejpam-4780	92	80	s.	s.	PROPN
ejpam-4780	92	81	zeidani	zeidani	PROPN
ejpam-4780	92	82	et	et	PROPN
ejpam-4780	92	83	al	al	PROPN
ejpam-4780	92	84	.	.	PUNCT
ejpam-4780	92	85	/	/	SYM
ejpam-4780	92	86	eur	eur	PROPN
ejpam-4780	92	87	.	.	PUNCT
ejpam-4780	93	1	j.	j.	PROPN
ejpam-4780	93	2	pure	pure	PROPN
ejpam-4780	93	3	appl	appl	PROPN
ejpam-4780	93	4	.	.	PROPN
ejpam-4780	93	5	math	math	PROPN
ejpam-4780	93	6	,	,	PUNCT
ejpam-4780	93	7	16	16	NUM
ejpam-4780	93	8	(	(	PUNCT
ejpam-4780	93	9	3	3	NUM
ejpam-4780	93	10	)	)	PUNCT
ejpam-4780	93	11	(	(	PUNCT
ejpam-4780	93	12	2023	2023	NUM
ejpam-4780	93	13	)	)	PUNCT
ejpam-4780	93	14	,	,	PUNCT
ejpam-4780	93	15	1608	1608	NUM
ejpam-4780	93	16	-	-	SYM
ejpam-4780	93	17	1623	1623	NUM
ejpam-4780	93	18	1612	1612	NUM
ejpam-4780	93	19	02	02	NUM
ejpam-4780	93	20	.	.	PUNCT
ejpam-4780	94	1	a	a	DET
ejpam-4780	94	2	local	local	ADJ
ejpam-4780	94	3	selection	selection	NOUN
ejpam-4780	94	4	process	process	NOUN
ejpam-4780	94	5	in	in	ADP
ejpam-4780	94	6	the	the	DET
ejpam-4780	94	7	area	area	NOUN
ejpam-4780	94	8	is	be	AUX
ejpam-4780	94	9	performed	perform	VERB
ejpam-4780	94	10	by	by	ADP
ejpam-4780	94	11	artificial	artificial	ADJ
ejpam-4780	94	12	bees	bee	NOUN
ejpam-4780	94	13	and	and	CCONJ
ejpam-4780	94	14	the	the	DET
ejpam-4780	94	15	onlookers	onlooker	NOUN
ejpam-4780	94	16	are	be	AUX
ejpam-4780	94	17	given	give	VERB
ejpam-4780	94	18	the	the	DET
ejpam-4780	94	19	local	local	ADJ
ejpam-4780	94	20	information	information	NOUN
ejpam-4780	94	21	to	to	PART
ejpam-4780	94	22	determine	determine	VERB
ejpam-4780	94	23	a	a	DET
ejpam-4780	94	24	food	food	NOUN
ejpam-4780	94	25	source	source	NOUN
ejpam-4780	94	26	neighbor	neighbor	NOUN
ejpam-4780	94	27	around	around	ADP
ejpam-4780	94	28	a	a	DET
ejpam-4780	94	29	previously	previously	ADV
ejpam-4780	94	30	defined	define	VERB
ejpam-4780	94	31	source	source	NOUN
ejpam-4780	94	32	of	of	ADP
ejpam-4780	94	33	memory	memory	NOUN
ejpam-4780	94	34	;	;	PUNCT
ejpam-4780	94	35	this	this	DET
ejpam-4780	94	36	greedy	greedy	ADJ
ejpam-4780	94	37	selection	selection	NOUN
ejpam-4780	94	38	is	be	AUX
ejpam-4780	94	39	computed	compute	VERB
ejpam-4780	94	40	by	by	ADP
ejpam-4780	94	41	:	:	PUNCT
ejpam-4780	94	42	vij	vij	PROPN
ejpam-4780	94	43	=	=	PUNCT
ejpam-4780	94	44	xij	xij	PROPN
ejpam-4780	95	1	+	+	CCONJ
ejpam-4780	95	2	ϕij(xij	ϕij(xij	PROPN
ejpam-4780	96	1	−	−	PROPN
ejpam-4780	96	2	xkj	xkj	PROPN
ejpam-4780	96	3	)	)	PUNCT
ejpam-4780	96	4	,	,	PUNCT
ejpam-4780	96	5	k	k	PROPN
ejpam-4780	96	6	∈	∈	PROPN
ejpam-4780	96	7	{	{	PUNCT
ejpam-4780	96	8	1	1	NUM
ejpam-4780	96	9	,	,	PUNCT
ejpam-4780	96	10	2	2	NUM
ejpam-4780	96	11	,	,	PUNCT
ejpam-4780	96	12	...	...	PUNCT
ejpam-4780	96	13	,	,	PUNCT
ejpam-4780	96	14	sn},j	sn},j	PROPN
ejpam-4780	96	15	=	=	PUNCT
ejpam-4780	96	16	{	{	PUNCT
ejpam-4780	96	17	1	1	NUM
ejpam-4780	96	18	,	,	PUNCT
ejpam-4780	96	19	2	2	NUM
ejpam-4780	96	20	,	,	PUNCT
ejpam-4780	96	21	...	...	PUNCT
ejpam-4780	96	22	,	,	PUNCT
ejpam-4780	96	23	d	d	X
ejpam-4780	96	24	}	}	PUNCT
ejpam-4780	96	25	,	,	PUNCT
ejpam-4780	96	26	k	k	PROPN
ejpam-4780	96	27	̸=	̸=	PROPN
ejpam-4780	96	28	i	i	PRON
ejpam-4780	96	29	,	,	PUNCT
ejpam-4780	96	30	ϕij	ϕij	NOUN
ejpam-4780	96	31	∈	∈	PROPN
ejpam-4780	97	1	[	[	X
ejpam-4780	97	2	−1	−1	NOUN
ejpam-4780	97	3	,	,	PUNCT
ejpam-4780	97	4	1	1	NUM
ejpam-4780	97	5	]	]	PUNCT
ejpam-4780	97	6	(	(	PUNCT
ejpam-4780	97	7	7	7	NUM
ejpam-4780	97	8	)	)	PUNCT
ejpam-4780	97	9	from	from	ADP
ejpam-4780	97	10	the	the	DET
ejpam-4780	97	11	above	above	ADJ
ejpam-4780	97	12	explanation	explanation	NOUN
ejpam-4780	97	13	,	,	PUNCT
ejpam-4780	97	14	it	it	PRON
ejpam-4780	97	15	is	be	AUX
ejpam-4780	97	16	clear	clear	ADJ
ejpam-4780	97	17	that	that	SCONJ
ejpam-4780	97	18	three	three	NUM
ejpam-4780	97	19	control	control	NOUN
ejpam-4780	97	20	parameters	parameter	NOUN
ejpam-4780	97	21	of	of	ADP
ejpam-4780	97	22	the	the	DET
ejpam-4780	97	23	main	main	ADJ
ejpam-4780	97	24	artificial	artificial	ADJ
ejpam-4780	97	25	bee	bee	NOUN
ejpam-4780	97	26	colony	colony	NOUN
ejpam-4780	97	27	algorithm	algorithm	NOUN
ejpam-4780	97	28	are	be	AUX
ejpam-4780	97	29	used	use	VERB
ejpam-4780	97	30	:	:	PUNCT
ejpam-4780	98	1	01	01	NUM
ejpam-4780	98	2	.	.	PUNCT
ejpam-4780	99	1	the	the	DET
ejpam-4780	99	2	number	number	NOUN
ejpam-4780	99	3	of	of	ADP
ejpam-4780	99	4	food	food	NOUN
ejpam-4780	99	5	sources	source	NOUN
ejpam-4780	99	6	(	(	PUNCT
ejpam-4780	99	7	sn	sn	PROPN
ejpam-4780	99	8	)	)	PUNCT
ejpam-4780	99	9	02	02	NUM
ejpam-4780	99	10	.	.	PUNCT
ejpam-4780	100	1	limit	limit	NOUN
ejpam-4780	100	2	value	value	NOUN
ejpam-4780	100	3	03	03	NUM
ejpam-4780	100	4	.	.	PUNCT
ejpam-4780	101	1	maximum	maximum	ADJ
ejpam-4780	101	2	number	number	NOUN
ejpam-4780	101	3	of	of	ADP
ejpam-4780	101	4	cycles	cycle	NOUN
ejpam-4780	101	5	2.3	2.3	NUM
ejpam-4780	101	6	.	.	PUNCT
ejpam-4780	102	1	modified	modify	VERB
ejpam-4780	102	2	abc	abc	PROPN
ejpam-4780	102	3	algorithm	algorithm	PROPN
ejpam-4780	102	4	the	the	DET
ejpam-4780	102	5	different	different	ADJ
ejpam-4780	102	6	ratios	ratio	NOUN
ejpam-4780	102	7	of	of	ADP
ejpam-4780	102	8	the	the	DET
ejpam-4780	102	9	onlooker	onlooker	NOUN
ejpam-4780	102	10	and	and	CCONJ
ejpam-4780	102	11	employee	employee	NOUN
ejpam-4780	102	12	bees	bee	NOUN
ejpam-4780	102	13	for	for	ADP
ejpam-4780	102	14	the	the	DET
ejpam-4780	102	15	first	first	ADJ
ejpam-4780	102	16	modifications	modification	NOUN
ejpam-4780	102	17	of	of	ADP
ejpam-4780	102	18	the	the	DET
ejpam-4780	102	19	artificial	artificial	ADJ
ejpam-4780	102	20	bee	bee	NOUN
ejpam-4780	102	21	colony	colony	NOUN
ejpam-4780	102	22	algorithm	algorithm	NOUN
ejpam-4780	102	23	suggested	suggest	VERB
ejpam-4780	102	24	by	by	ADP
ejpam-4780	102	25	[	[	X
ejpam-4780	102	26	4	4	NUM
ejpam-4780	102	27	]	]	PUNCT
ejpam-4780	102	28	.	.	PUNCT
ejpam-4780	103	1	their	their	PRON
ejpam-4780	103	2	proposed	propose	VERB
ejpam-4780	103	3	algorithms	algorithm	NOUN
ejpam-4780	103	4	have	have	AUX
ejpam-4780	103	5	been	be	AUX
ejpam-4780	103	6	tested	test	VERB
ejpam-4780	103	7	for	for	ADP
ejpam-4780	103	8	optimizing	optimize	VERB
ejpam-4780	103	9	some	some	DET
ejpam-4780	103	10	wellknown	wellknown	ADJ
ejpam-4780	103	11	numerical	numerical	ADJ
ejpam-4780	103	12	functions	function	NOUN
ejpam-4780	103	13	.	.	PUNCT
ejpam-4780	104	1	the	the	DET
ejpam-4780	104	2	details	detail	NOUN
ejpam-4780	104	3	of	of	ADP
ejpam-4780	104	4	examples	example	NOUN
ejpam-4780	104	5	are	be	AUX
ejpam-4780	104	6	shown	show	VERB
ejpam-4780	104	7	in	in	ADP
ejpam-4780	104	8	[	[	X
ejpam-4780	104	9	4	4	NUM
ejpam-4780	104	10	]	]	PUNCT
ejpam-4780	104	11	.	.	PUNCT
ejpam-4780	105	1	they	they	PRON
ejpam-4780	105	2	have	have	AUX
ejpam-4780	105	3	proposed	propose	VERB
ejpam-4780	105	4	these	these	DET
ejpam-4780	105	5	ratios	ratio	NOUN
ejpam-4780	105	6	{	{	PUNCT
ejpam-4780	105	7	1:1	1:1	NUM
ejpam-4780	105	8	,	,	PUNCT
ejpam-4780	105	9	1:2	1:2	NUM
ejpam-4780	105	10	,	,	PUNCT
ejpam-4780	105	11	1:3	1:3	NUM
ejpam-4780	105	12	,	,	PUNCT
ejpam-4780	105	13	1:4	1:4	NUM
ejpam-4780	105	14	,	,	PUNCT
ejpam-4780	105	15	2:1	2:1	NUM
ejpam-4780	105	16	,	,	PUNCT
ejpam-4780	105	17	3:1	3:1	NUM
ejpam-4780	105	18	,	,	PUNCT
ejpam-4780	105	19	4:1	4:1	NUM
ejpam-4780	105	20	,	,	PUNCT
ejpam-4780	105	21	2:2	2:2	NUM
ejpam-4780	105	22	,	,	PUNCT
ejpam-4780	105	23	2:3	2:3	NUM
ejpam-4780	105	24	,	,	PUNCT
ejpam-4780	105	25	3:2	3:2	NUM
ejpam-4780	105	26	}	}	PUNCT
ejpam-4780	105	27	and	and	CCONJ
ejpam-4780	105	28	also	also	ADV
ejpam-4780	105	29	have	have	AUX
ejpam-4780	105	30	considered	consider	VERB
ejpam-4780	105	31	the	the	DET
ejpam-4780	105	32	execution	execution	NOUN
ejpam-4780	105	33	of	of	ADP
ejpam-4780	105	34	the	the	DET
ejpam-4780	105	35	main	main	ADJ
ejpam-4780	105	36	loop	loop	NOUN
ejpam-4780	105	37	of	of	ADP
ejpam-4780	105	38	the	the	DET
ejpam-4780	105	39	algorithm	algorithm	NOUN
ejpam-4780	105	40	to	to	PART
ejpam-4780	105	41	be	be	AUX
ejpam-4780	105	42	constant	constant	ADJ
ejpam-4780	105	43	for	for	ADP
ejpam-4780	105	44	different	different	ADJ
ejpam-4780	105	45	ratios	ratio	NOUN
ejpam-4780	105	46	.	.	PUNCT
ejpam-4780	106	1	[	[	X
ejpam-4780	106	2	4	4	X
ejpam-4780	106	3	]	]	PUNCT
ejpam-4780	106	4	showed	show	VERB
ejpam-4780	106	5	that	that	SCONJ
ejpam-4780	106	6	in	in	ADP
ejpam-4780	106	7	the	the	DET
ejpam-4780	106	8	modified	modify	VERB
ejpam-4780	106	9	abc	abc	PROPN
ejpam-4780	106	10	algorithm	algorithm	NOUN
ejpam-4780	106	11	,	,	PUNCT
ejpam-4780	106	12	more	more	ADJ
ejpam-4780	106	13	onlooker	onlooker	NOUN
ejpam-4780	106	14	bees	bee	NOUN
ejpam-4780	106	15	had	have	VERB
ejpam-4780	106	16	a	a	DET
ejpam-4780	106	17	better	well	ADJ
ejpam-4780	106	18	effect	effect	NOUN
ejpam-4780	106	19	on	on	ADP
ejpam-4780	106	20	the	the	DET
ejpam-4780	106	21	results	result	NOUN
ejpam-4780	106	22	.	.	PUNCT
ejpam-4780	107	1	3	3	X
ejpam-4780	107	2	.	.	NUM
ejpam-4780	107	3	proposed	propose	VERB
ejpam-4780	107	4	modified	modify	VERB
ejpam-4780	107	5	artificial	artificial	ADJ
ejpam-4780	107	6	bee	bee	NOUN
ejpam-4780	107	7	colony	colony	NOUN
ejpam-4780	107	8	algorithm	algorithm	NOUN
ejpam-4780	107	9	for	for	ADP
ejpam-4780	107	10	finding	find	VERB
ejpam-4780	107	11	the	the	DET
ejpam-4780	107	12	non	non	ADJ
ejpam-4780	107	13	-	-	ADJ
ejpam-4780	107	14	archimedean	archimedean	ADJ
ejpam-4780	107	15	epsilon	epsilon	PROPN
ejpam-4780	107	16	in	in	ADP
ejpam-4780	107	17	this	this	DET
ejpam-4780	107	18	paper	paper	NOUN
ejpam-4780	107	19	,	,	PUNCT
ejpam-4780	107	20	we	we	PRON
ejpam-4780	107	21	have	have	AUX
ejpam-4780	107	22	used	use	VERB
ejpam-4780	107	23	these	these	DET
ejpam-4780	107	24	ratios	ratio	NOUN
ejpam-4780	107	25	{	{	PUNCT
ejpam-4780	107	26	1:2	1:2	NUM
ejpam-4780	107	27	,	,	PUNCT
ejpam-4780	107	28	1:3	1:3	NUM
ejpam-4780	107	29	,	,	PUNCT
ejpam-4780	107	30	1:4	1:4	NUM
ejpam-4780	107	31	,	,	PUNCT
ejpam-4780	107	32	2:1	2:1	NUM
ejpam-4780	107	33	,	,	PUNCT
ejpam-4780	107	34	3:1	3:1	NUM
ejpam-4780	107	35	,	,	PUNCT
ejpam-4780	107	36	4:1	4:1	NUM
ejpam-4780	107	37	}	}	PUNCT
ejpam-4780	107	38	taken	take	VERB
ejpam-4780	107	39	from	from	ADP
ejpam-4780	107	40	the	the	DET
ejpam-4780	107	41	modified	modify	VERB
ejpam-4780	107	42	abc	abc	PROPN
ejpam-4780	107	43	algorithm	algorithm	PROPN
ejpam-4780	107	44	presented	present	VERB
ejpam-4780	107	45	by	by	ADP
ejpam-4780	107	46	[	[	X
ejpam-4780	107	47	4	4	NUM
ejpam-4780	107	48	]	]	PUNCT
ejpam-4780	107	49	.	.	PUNCT
ejpam-4780	108	1	therefore	therefore	ADV
ejpam-4780	108	2	,	,	PUNCT
ejpam-4780	108	3	for	for	ADP
ejpam-4780	108	4	these	these	DET
ejpam-4780	108	5	ratios	ratio	NOUN
ejpam-4780	108	6	,	,	PUNCT
ejpam-4780	108	7	the	the	DET
ejpam-4780	108	8	population	population	NOUN
ejpam-4780	108	9	size	size	NOUN
ejpam-4780	108	10	will	will	AUX
ejpam-4780	108	11	be	be	AUX
ejpam-4780	108	12	{	{	PUNCT
ejpam-4780	108	13	66	66	NUM
ejpam-4780	108	14	,	,	PUNCT
ejpam-4780	108	15	50	50	NUM
ejpam-4780	108	16	,	,	PUNCT
ejpam-4780	108	17	40	40	NUM
ejpam-4780	108	18	,	,	PUNCT
ejpam-4780	108	19	66	66	NUM
ejpam-4780	108	20	,	,	PUNCT
ejpam-4780	108	21	50	50	NUM
ejpam-4780	108	22	,	,	PUNCT
ejpam-4780	108	23	40	40	NUM
ejpam-4780	108	24	}	}	PUNCT
ejpam-4780	108	25	,	,	PUNCT
ejpam-4780	108	26	respectively	respectively	ADV
ejpam-4780	108	27	.	.	PUNCT
ejpam-4780	109	1	also	also	ADV
ejpam-4780	109	2	,	,	PUNCT
ejpam-4780	109	3	the	the	DET
ejpam-4780	109	4	maximum	maximum	ADJ
ejpam-4780	109	5	number	number	NOUN
ejpam-4780	109	6	of	of	ADP
ejpam-4780	109	7	cycle	cycle	NOUN
ejpam-4780	109	8	iterations	iteration	NOUN
ejpam-4780	109	9	is	be	AUX
ejpam-4780	109	10	3000	3000	NUM
ejpam-4780	109	11	for	for	ADP
ejpam-4780	109	12	two	two	NUM
ejpam-4780	109	13	examples	example	NOUN
ejpam-4780	109	14	.	.	PUNCT
ejpam-4780	110	1	furthermore	furthermore	ADV
ejpam-4780	110	2	,	,	PUNCT
ejpam-4780	110	3	we	we	PRON
ejpam-4780	110	4	have	have	AUX
ejpam-4780	110	5	determined	determine	VERB
ejpam-4780	110	6	ε∗	ε∗	PROPN
ejpam-4780	110	7	from	from	ADP
ejpam-4780	110	8	the	the	DET
ejpam-4780	110	9	multiplier	multipli	ADJ
ejpam-4780	110	10	ccr	ccr	PROPN
ejpam-4780	110	11	model	model	NOUN
ejpam-4780	110	12	without	without	ADP
ejpam-4780	110	13	needing	need	VERB
ejpam-4780	110	14	to	to	PART
ejpam-4780	110	15	solve	solve	VERB
ejpam-4780	110	16	two	two	NUM
ejpam-4780	110	17	-	-	PUNCT
ejpam-4780	110	18	stage	stage	NOUN
ejpam-4780	110	19	approach	approach	NOUN
ejpam-4780	110	20	.	.	PUNCT
ejpam-4780	111	1	so	so	ADV
ejpam-4780	111	2	,	,	PUNCT
ejpam-4780	111	3	ε∗	ε∗	PROPN
ejpam-4780	111	4	may	may	AUX
ejpam-4780	111	5	be	be	AUX
ejpam-4780	111	6	non	non	ADJ
ejpam-4780	111	7	-	-	ADJ
ejpam-4780	111	8	unique	unique	ADJ
ejpam-4780	111	9	but	but	CCONJ
ejpam-4780	111	10	positive	positive	ADJ
ejpam-4780	111	11	.	.	PUNCT
ejpam-4780	112	1	it	it	PRON
ejpam-4780	112	2	has	have	AUX
ejpam-4780	112	3	been	be	AUX
ejpam-4780	112	4	shown	show	VERB
ejpam-4780	112	5	that	that	SCONJ
ejpam-4780	112	6	using	use	VERB
ejpam-4780	112	7	the	the	DET
ejpam-4780	112	8	modified	modify	VERB
ejpam-4780	112	9	abc	abc	PROPN
ejpam-4780	112	10	algorithm	algorithm	PROPN
ejpam-4780	112	11	determines	determine	VERB
ejpam-4780	112	12	the	the	DET
ejpam-4780	112	13	magnitude	magnitude	NOUN
ejpam-4780	112	14	of	of	ADP
ejpam-4780	112	15	epsilon	epsilon	PROPN
ejpam-4780	112	16	referring	refer	VERB
ejpam-4780	112	17	to	to	ADP
ejpam-4780	112	18	two	two	NUM
ejpam-4780	112	19	illustrative	illustrative	ADJ
ejpam-4780	112	20	examples	example	NOUN
ejpam-4780	112	21	,	,	PUNCT
ejpam-4780	112	22	however	however	ADV
ejpam-4780	112	23	,	,	PUNCT
ejpam-4780	112	24	it	it	PRON
ejpam-4780	112	25	has	have	AUX
ejpam-4780	112	26	not	not	PART
ejpam-4780	112	27	been	be	AUX
ejpam-4780	112	28	mentioned	mention	VERB
ejpam-4780	112	29	how	how	SCONJ
ejpam-4780	112	30	one	one	PRON
ejpam-4780	112	31	can	can	AUX
ejpam-4780	112	32	determine	determine	VERB
ejpam-4780	112	33	an	an	DET
ejpam-4780	112	34	assurance	assurance	NOUN
ejpam-4780	112	35	value	value	NOUN
ejpam-4780	112	36	for	for	ADP
ejpam-4780	112	37	the	the	DET
ejpam-4780	112	38	non	non	ADJ
ejpam-4780	112	39	-	-	ADJ
ejpam-4780	112	40	archimedean	archimedean	ADJ
ejpam-4780	112	41	ε∗.	ε∗.	NOUN
ejpam-4780	112	42	the	the	DET
ejpam-4780	112	43	pseudo	pseudo	NOUN
ejpam-4780	112	44	-	-	NOUN
ejpam-4780	112	45	code	code	NOUN
ejpam-4780	112	46	of	of	ADP
ejpam-4780	112	47	our	our	PRON
ejpam-4780	112	48	proposed	propose	VERB
ejpam-4780	112	49	modified	modify	VERB
ejpam-4780	112	50	abc	abc	PROPN
ejpam-4780	112	51	algorithm	algorithm	PROPN
ejpam-4780	112	52	for	for	ADP
ejpam-4780	112	53	solving	solve	VERB
ejpam-4780	112	54	the	the	DET
ejpam-4780	112	55	multiplier	multipli	ADJ
ejpam-4780	112	56	ccr	ccr	PROPN
ejpam-4780	112	57	model	model	NOUN
ejpam-4780	112	58	is	be	AUX
ejpam-4780	112	59	given	give	VERB
ejpam-4780	112	60	below	below	ADP
ejpam-4780	112	61	:	:	PUNCT
ejpam-4780	112	62	01	01	NUM
ejpam-4780	112	63	.	.	X
ejpam-4780	112	64	initialize	initialize	VERB
ejpam-4780	112	65	population	population	NOUN
ejpam-4780	112	66	solutions	solution	NOUN
ejpam-4780	112	67	vi	vi	PROPN
ejpam-4780	112	68	and	and	CCONJ
ejpam-4780	112	69	ur	ur	INTJ
ejpam-4780	112	70	02	02	NUM
ejpam-4780	112	71	.	.	PUNCT
ejpam-4780	113	1	set	set	VERB
ejpam-4780	113	2	maximum	maximum	ADJ
ejpam-4780	113	3	cycle	cycle	NOUN
ejpam-4780	113	4	number	number	NOUN
ejpam-4780	113	5	(	(	PUNCT
ejpam-4780	113	6	mcn=3000	mcn=3000	PROPN
ejpam-4780	113	7	)	)	PUNCT
ejpam-4780	113	8	,	,	PUNCT
ejpam-4780	113	9	03	03	NUM
ejpam-4780	113	10	.	.	PUNCT
ejpam-4780	114	1	evaluate	evaluate	VERB
ejpam-4780	114	2	the	the	DET
ejpam-4780	114	3	fitness	fitness	NOUN
ejpam-4780	114	4	function	function	NOUN
ejpam-4780	114	5	value	value	NOUN
ejpam-4780	114	6	(	(	PUNCT
ejpam-4780	114	7	the	the	DET
ejpam-4780	114	8	ccr	ccr	PROPN
ejpam-4780	114	9	model	model	NOUN
ejpam-4780	114	10	(	(	PUNCT
ejpam-4780	114	11	2	2	NUM
ejpam-4780	114	12	)	)	PUNCT
ejpam-4780	114	13	)	)	PUNCT
ejpam-4780	114	14	04	04	NUM
ejpam-4780	114	15	.	.	PUNCT
ejpam-4780	115	1	for	for	ADP
ejpam-4780	115	2	each	each	DET
ejpam-4780	115	3	decision	decision	NOUN
ejpam-4780	115	4	maker	maker	NOUN
ejpam-4780	115	5	unit	unit	NOUN
ejpam-4780	115	6	05	05	NUM
ejpam-4780	115	7	.	.	PUNCT
ejpam-4780	115	8	assessment	assessment	NOUN
ejpam-4780	115	9	of	of	ADP
ejpam-4780	115	10	the	the	DET
ejpam-4780	115	11	fitness	fitness	NOUN
ejpam-4780	115	12	value	value	NOUN
ejpam-4780	115	13	for	for	ADP
ejpam-4780	115	14	each	each	DET
ejpam-4780	115	15	solution	solution	NOUN
ejpam-4780	115	16	,	,	PUNCT
ejpam-4780	115	17	s.	s.	PROPN
ejpam-4780	115	18	zeidani	zeidani	PROPN
ejpam-4780	115	19	et	et	PROPN
ejpam-4780	115	20	al	al	PROPN
ejpam-4780	115	21	.	.	PUNCT
ejpam-4780	115	22	/	/	SYM
ejpam-4780	115	23	eur	eur	PROPN
ejpam-4780	115	24	.	.	PUNCT
ejpam-4780	116	1	j.	j.	PROPN
ejpam-4780	116	2	pure	pure	PROPN
ejpam-4780	116	3	appl	appl	PROPN
ejpam-4780	116	4	.	.	PROPN
ejpam-4780	116	5	math	math	PROPN
ejpam-4780	116	6	,	,	PUNCT
ejpam-4780	116	7	16	16	NUM
ejpam-4780	116	8	(	(	PUNCT
ejpam-4780	116	9	3	3	NUM
ejpam-4780	116	10	)	)	PUNCT
ejpam-4780	116	11	(	(	PUNCT
ejpam-4780	116	12	2023	2023	NUM
ejpam-4780	116	13	)	)	PUNCT
ejpam-4780	116	14	,	,	PUNCT
ejpam-4780	116	15	1608	1608	NUM
ejpam-4780	116	16	-	-	SYM
ejpam-4780	116	17	1623	1623	NUM
ejpam-4780	116	18	1613	1613	NUM
ejpam-4780	116	19	06	06	NUM
ejpam-4780	116	20	.	.	PUNCT
ejpam-4780	117	1	repeat	repeat	PROPN
ejpam-4780	117	2	,	,	PUNCT
ejpam-4780	117	3	cycle=1	cycle=1	PROPN
ejpam-4780	117	4	,	,	PUNCT
ejpam-4780	117	5	for	for	ADP
ejpam-4780	117	6	the	the	DET
ejpam-4780	117	7	different	different	ADJ
ejpam-4780	117	8	ratios	ratio	NOUN
ejpam-4780	117	9	of	of	ADP
ejpam-4780	117	10	employed	employ	VERB
ejpam-4780	117	11	and	and	CCONJ
ejpam-4780	117	12	onlooker	onlooker	NOUN
ejpam-4780	117	13	bees	bee	NOUN
ejpam-4780	117	14	{	{	PUNCT
ejpam-4780	117	15	1:2	1:2	NUM
ejpam-4780	117	16	,	,	PUNCT
ejpam-4780	117	17	1:3	1:3	NUM
ejpam-4780	117	18	,	,	PUNCT
ejpam-4780	117	19	1:4	1:4	NUM
ejpam-4780	117	20	,	,	PUNCT
ejpam-4780	117	21	2:1	2:1	NUM
ejpam-4780	117	22	,	,	PUNCT
ejpam-4780	117	23	3:1	3:1	NUM
ejpam-4780	117	24	,	,	PUNCT
ejpam-4780	117	25	4:1	4:1	NUM
ejpam-4780	117	26	}	}	PUNCT
ejpam-4780	117	27	,	,	PUNCT
ejpam-4780	117	28	also	also	ADV
ejpam-4780	117	29	for	for	ADP
ejpam-4780	117	30	the	the	DET
ejpam-4780	117	31	ratios	ratio	NOUN
ejpam-4780	117	32	mentioned	mention	VERB
ejpam-4780	117	33	above	above	ADV
ejpam-4780	117	34	,	,	PUNCT
ejpam-4780	117	35	the	the	DET
ejpam-4780	117	36	population	population	NOUN
ejpam-4780	117	37	size	size	NOUN
ejpam-4780	117	38	will	will	AUX
ejpam-4780	117	39	be	be	AUX
ejpam-4780	117	40	{	{	PUNCT
ejpam-4780	117	41	66	66	NUM
ejpam-4780	117	42	,	,	PUNCT
ejpam-4780	117	43	50	50	NUM
ejpam-4780	117	44	,	,	PUNCT
ejpam-4780	117	45	40	40	NUM
ejpam-4780	117	46	,	,	PUNCT
ejpam-4780	117	47	66	66	NUM
ejpam-4780	117	48	,	,	PUNCT
ejpam-4780	117	49	50	50	NUM
ejpam-4780	117	50	,	,	PUNCT
ejpam-4780	117	51	40	40	NUM
ejpam-4780	117	52	}	}	PUNCT
ejpam-4780	117	53	}	}	PUNCT
ejpam-4780	117	54	,	,	PUNCT
ejpam-4780	117	55	07	07	NUM
ejpam-4780	117	56	.	.	PUNCT
ejpam-4780	118	1	produce	produce	VERB
ejpam-4780	118	2	the	the	DET
ejpam-4780	118	3	new	new	ADJ
ejpam-4780	118	4	solution	solution	NOUN
ejpam-4780	118	5	vij	vij	NOUN
ejpam-4780	118	6	for	for	ADP
ejpam-4780	118	7	the	the	DET
ejpam-4780	118	8	employed	employ	VERB
ejpam-4780	118	9	bees	bee	NOUN
ejpam-4780	118	10	by	by	ADP
ejpam-4780	118	11	(	(	PUNCT
ejpam-4780	118	12	7	7	NUM
ejpam-4780	118	13	)	)	PUNCT
ejpam-4780	118	14	,	,	PUNCT
ejpam-4780	118	15	08	08	NUM
ejpam-4780	118	16	.	.	PUNCT
ejpam-4780	118	17	apply	apply	VERB
ejpam-4780	118	18	the	the	DET
ejpam-4780	118	19	greedy	greedy	ADJ
ejpam-4780	118	20	selection	selection	NOUN
ejpam-4780	118	21	process	process	NOUN
ejpam-4780	118	22	,	,	PUNCT
ejpam-4780	118	23	09	09	X
ejpam-4780	118	24	.	.	PUNCT
ejpam-4780	119	1	calculate	calculate	VERB
ejpam-4780	119	2	the	the	DET
ejpam-4780	119	3	probability	probability	NOUN
ejpam-4780	119	4	values	value	NOUN
ejpam-4780	119	5	by	by	ADP
ejpam-4780	119	6	using	use	VERB
ejpam-4780	119	7	(	(	PUNCT
ejpam-4780	119	8	6	6	NUM
ejpam-4780	119	9	)	)	PUNCT
ejpam-4780	119	10	,	,	PUNCT
ejpam-4780	119	11	10	10	NUM
ejpam-4780	119	12	.	.	PUNCT
ejpam-4780	120	1	apply	apply	VERB
ejpam-4780	120	2	the	the	DET
ejpam-4780	120	3	greedy	greedy	ADJ
ejpam-4780	120	4	selection	selection	NOUN
ejpam-4780	120	5	process	process	NOUN
ejpam-4780	120	6	between	between	ADP
ejpam-4780	120	7	the	the	DET
ejpam-4780	120	8	old	old	ADJ
ejpam-4780	120	9	solution	solution	NOUN
ejpam-4780	120	10	and	and	CCONJ
ejpam-4780	120	11	new	new	ADJ
ejpam-4780	120	12	solution	solution	NOUN
ejpam-4780	120	13	,	,	PUNCT
ejpam-4780	120	14	11	11	NUM
ejpam-4780	120	15	.	.	PUNCT
ejpam-4780	121	1	determine	determine	VERB
ejpam-4780	121	2	the	the	DET
ejpam-4780	121	3	abandoned	abandon	VERB
ejpam-4780	121	4	solution	solution	NOUN
ejpam-4780	121	5	and	and	CCONJ
ejpam-4780	121	6	replace	replace	VERB
ejpam-4780	121	7	it	it	PRON
ejpam-4780	121	8	with	with	ADP
ejpam-4780	121	9	a	a	DET
ejpam-4780	121	10	new	new	ADJ
ejpam-4780	121	11	randomly	randomly	ADV
ejpam-4780	121	12	produced	produce	VERB
ejpam-4780	121	13	solution	solution	NOUN
ejpam-4780	121	14	,	,	PUNCT
ejpam-4780	121	15	12	12	NUM
ejpam-4780	121	16	.	.	PUNCT
ejpam-4780	122	1	memorize	memorize	VERB
ejpam-4780	122	2	the	the	DET
ejpam-4780	122	3	optimized	optimize	VERB
ejpam-4780	122	4	solution	solution	NOUN
ejpam-4780	122	5	achieved	achieve	VERB
ejpam-4780	122	6	so	so	ADV
ejpam-4780	122	7	far	far	ADV
ejpam-4780	122	8	,	,	PUNCT
ejpam-4780	122	9	13	13	NUM
ejpam-4780	122	10	.	.	PUNCT
ejpam-4780	123	1	cycle=	cycle=	PUNCT
ejpam-4780	123	2	cycle+1	cycle+1	NOUN
ejpam-4780	123	3	,	,	PUNCT
ejpam-4780	123	4	until	until	ADP
ejpam-4780	123	5	cycle=	cycle=	NUM
ejpam-4780	123	6	mcn	mcn	PROPN
ejpam-4780	123	7	,	,	PUNCT
ejpam-4780	123	8	14	14	NUM
ejpam-4780	123	9	.	.	PUNCT
ejpam-4780	123	10	end	end	NOUN
ejpam-4780	123	11	.	.	PUNCT
ejpam-4780	124	1	4	4	X
ejpam-4780	124	2	.	.	X
ejpam-4780	124	3	experiments	experiment	NOUN
ejpam-4780	124	4	most	most	ADJ
ejpam-4780	124	5	classical	classical	ADJ
ejpam-4780	124	6	mathematical	mathematical	ADJ
ejpam-4780	124	7	methods	method	NOUN
ejpam-4780	124	8	consider	consider	VERB
ejpam-4780	124	9	the	the	DET
ejpam-4780	124	10	local	local	ADJ
ejpam-4780	124	11	optimal	optimal	ADJ
ejpam-4780	124	12	point	point	NOUN
ejpam-4780	124	13	as	as	ADP
ejpam-4780	124	14	a	a	DET
ejpam-4780	124	15	global	global	ADJ
ejpam-4780	124	16	optimal	optimal	ADJ
ejpam-4780	124	17	.	.	PUNCT
ejpam-4780	125	1	in	in	ADP
ejpam-4780	125	2	each	each	PRON
ejpam-4780	125	3	of	of	ADP
ejpam-4780	125	4	these	these	DET
ejpam-4780	125	5	techniques	technique	NOUN
ejpam-4780	125	6	,	,	PUNCT
ejpam-4780	125	7	the	the	DET
ejpam-4780	125	8	number	number	NOUN
ejpam-4780	125	9	of	of	ADP
ejpam-4780	125	10	calculations	calculation	NOUN
ejpam-4780	125	11	increases	increase	NOUN
ejpam-4780	125	12	exponentially	exponentially	ADV
ejpam-4780	125	13	and	and	CCONJ
ejpam-4780	125	14	is	be	AUX
ejpam-4780	125	15	used	use	VERB
ejpam-4780	125	16	for	for	ADP
ejpam-4780	125	17	difficult	difficult	ADJ
ejpam-4780	125	18	and	and	CCONJ
ejpam-4780	125	19	special	special	ADJ
ejpam-4780	125	20	problems	problem	NOUN
ejpam-4780	125	21	.	.	PUNCT
ejpam-4780	126	1	one	one	NUM
ejpam-4780	126	2	of	of	ADP
ejpam-4780	126	3	these	these	DET
ejpam-4780	126	4	problems	problem	NOUN
ejpam-4780	126	5	is	be	AUX
ejpam-4780	126	6	determining	determine	VERB
ejpam-4780	126	7	ε∗	ε∗	PROPN
ejpam-4780	126	8	in	in	ADP
ejpam-4780	126	9	the	the	DET
ejpam-4780	126	10	dea	dea	PROPN
ejpam-4780	126	11	model	model	NOUN
ejpam-4780	126	12	which	which	PRON
ejpam-4780	126	13	has	have	AUX
ejpam-4780	126	14	been	be	AUX
ejpam-4780	126	15	a	a	DET
ejpam-4780	126	16	controversial	controversial	ADJ
ejpam-4780	126	17	subject	subject	NOUN
ejpam-4780	126	18	for	for	ADP
ejpam-4780	126	19	a	a	DET
ejpam-4780	126	20	long	long	ADJ
ejpam-4780	126	21	time	time	NOUN
ejpam-4780	126	22	,	,	PUNCT
ejpam-4780	126	23	so	so	ADV
ejpam-4780	126	24	we	we	PRON
ejpam-4780	126	25	used	use	VERB
ejpam-4780	126	26	abc	abc	PROPN
ejpam-4780	126	27	and	and	CCONJ
ejpam-4780	126	28	modified	modify	VERB
ejpam-4780	126	29	abc	abc	PROPN
ejpam-4780	126	30	method	method	NOUN
ejpam-4780	126	31	for	for	ADP
ejpam-4780	126	32	solving	solve	VERB
ejpam-4780	126	33	the	the	DET
ejpam-4780	126	34	above	above	ADJ
ejpam-4780	126	35	ccr	ccr	PROPN
ejpam-4780	126	36	model	model	NOUN
ejpam-4780	126	37	(	(	PUNCT
ejpam-4780	126	38	2	2	NUM
ejpam-4780	126	39	)	)	PUNCT
ejpam-4780	126	40	optimization	optimization	NOUN
ejpam-4780	126	41	problem	problem	NOUN
ejpam-4780	126	42	and	and	CCONJ
ejpam-4780	126	43	we	we	PRON
ejpam-4780	126	44	find	find	VERB
ejpam-4780	126	45	the	the	DET
ejpam-4780	126	46	best	good	ADJ
ejpam-4780	126	47	values	value	NOUN
ejpam-4780	126	48	of	of	ADP
ejpam-4780	126	49	weight	weight	NOUN
ejpam-4780	126	50	coefficients	coefficient	NOUN
ejpam-4780	126	51	and	and	CCONJ
ejpam-4780	126	52	ε∗.	ε∗.	VERB
ejpam-4780	126	53	the	the	DET
ejpam-4780	126	54	accuracy	accuracy	NOUN
ejpam-4780	126	55	of	of	ADP
ejpam-4780	126	56	abc	abc	PROPN
ejpam-4780	126	57	and	and	CCONJ
ejpam-4780	126	58	mabc	mabc	NOUN
ejpam-4780	126	59	algorithms	algorithm	NOUN
ejpam-4780	126	60	is	be	AUX
ejpam-4780	126	61	compared	compare	VERB
ejpam-4780	126	62	with	with	ADP
ejpam-4780	126	63	the	the	DET
ejpam-4780	126	64	gams	gams	PROPN
ejpam-4780	126	65	software	software	NOUN
ejpam-4780	126	66	.	.	PUNCT
ejpam-4780	127	1	all	all	DET
ejpam-4780	127	2	numerical	numerical	ADJ
ejpam-4780	127	3	examples	example	NOUN
ejpam-4780	127	4	and	and	CCONJ
ejpam-4780	127	5	results	result	NOUN
ejpam-4780	127	6	will	will	AUX
ejpam-4780	127	7	be	be	AUX
ejpam-4780	127	8	explained	explain	VERB
ejpam-4780	127	9	in	in	ADP
ejpam-4780	127	10	4.1	4.1	NUM
ejpam-4780	127	11	and	and	CCONJ
ejpam-4780	127	12	4.2	4.2	NUM
ejpam-4780	127	13	,	,	PUNCT
ejpam-4780	127	14	respectively	respectively	ADV
ejpam-4780	127	15	.	.	PUNCT
ejpam-4780	128	1	4.1	4.1	NUM
ejpam-4780	128	2	.	.	PUNCT
ejpam-4780	128	3	example	example	NOUN
ejpam-4780	128	4	1	1	NUM
ejpam-4780	128	5	:	:	PUNCT
ejpam-4780	128	6	table	table	NOUN
ejpam-4780	128	7	1	1	NUM
ejpam-4780	128	8	exhibits	exhibit	VERB
ejpam-4780	128	9	a	a	DET
ejpam-4780	128	10	numerical	numerical	ADJ
ejpam-4780	128	11	example	example	NOUN
ejpam-4780	128	12	that	that	PRON
ejpam-4780	128	13	was	be	AUX
ejpam-4780	128	14	previously	previously	ADV
ejpam-4780	128	15	used	use	VERB
ejpam-4780	128	16	by	by	ADP
ejpam-4780	128	17	[	[	X
ejpam-4780	128	18	27	27	NUM
ejpam-4780	128	19	]	]	PUNCT
ejpam-4780	128	20	.	.	PUNCT
ejpam-4780	129	1	in	in	ADP
ejpam-4780	129	2	this	this	DET
ejpam-4780	129	3	example	example	NOUN
ejpam-4780	129	4	,	,	PUNCT
ejpam-4780	129	5	there	there	PRON
ejpam-4780	129	6	are	be	VERB
ejpam-4780	129	7	five	five	NUM
ejpam-4780	129	8	dmus	dmus	NOUN
ejpam-4780	129	9	,	,	PUNCT
ejpam-4780	129	10	each	each	PRON
ejpam-4780	129	11	using	use	VERB
ejpam-4780	129	12	two	two	NUM
ejpam-4780	129	13	inputs	input	NOUN
ejpam-4780	129	14	to	to	PART
ejpam-4780	129	15	generate	generate	VERB
ejpam-4780	129	16	a	a	DET
ejpam-4780	129	17	single	single	ADJ
ejpam-4780	129	18	unitized	unitized	ADJ
ejpam-4780	129	19	output	output	NOUN
ejpam-4780	129	20	.	.	PUNCT
ejpam-4780	130	1	we	we	PRON
ejpam-4780	130	2	obtain	obtain	VERB
ejpam-4780	130	3	the	the	DET
ejpam-4780	130	4	weight	weight	NOUN
ejpam-4780	130	5	coefficients	coefficient	NOUN
ejpam-4780	130	6	v1	v1	PROPN
ejpam-4780	130	7	,	,	PUNCT
ejpam-4780	130	8	v2	v2	PROPN
ejpam-4780	130	9	and	and	CCONJ
ejpam-4780	130	10	u1	u1	NOUN
ejpam-4780	130	11	by	by	ADP
ejpam-4780	130	12	solving	solve	VERB
ejpam-4780	130	13	gams	gams	NOUN
ejpam-4780	130	14	software	software	NOUN
ejpam-4780	130	15	and	and	CCONJ
ejpam-4780	130	16	the	the	DET
ejpam-4780	130	17	original	original	ADJ
ejpam-4780	130	18	abc	abc	PROPN
ejpam-4780	130	19	and	and	CCONJ
ejpam-4780	130	20	mabc	mabc	ADJ
ejpam-4780	130	21	algorithms	algorithm	NOUN
ejpam-4780	130	22	.	.	PUNCT
ejpam-4780	131	1	s.	s.	PROPN
ejpam-4780	131	2	zeidani	zeidani	PROPN
ejpam-4780	131	3	et	et	PROPN
ejpam-4780	131	4	al	al	PROPN
ejpam-4780	131	5	.	.	PUNCT
ejpam-4780	131	6	/	/	SYM
ejpam-4780	131	7	eur	eur	PROPN
ejpam-4780	131	8	.	.	PUNCT
ejpam-4780	132	1	j.	j.	PROPN
ejpam-4780	132	2	pure	pure	PROPN
ejpam-4780	132	3	appl	appl	PROPN
ejpam-4780	132	4	.	.	PROPN
ejpam-4780	132	5	math	math	PROPN
ejpam-4780	132	6	,	,	PUNCT
ejpam-4780	132	7	16	16	NUM
ejpam-4780	132	8	(	(	PUNCT
ejpam-4780	132	9	3	3	NUM
ejpam-4780	132	10	)	)	PUNCT
ejpam-4780	132	11	(	(	PUNCT
ejpam-4780	132	12	2023	2023	NUM
ejpam-4780	132	13	)	)	PUNCT
ejpam-4780	132	14	,	,	PUNCT
ejpam-4780	132	15	1608	1608	NUM
ejpam-4780	132	16	-	-	SYM
ejpam-4780	132	17	1623	1623	NUM
ejpam-4780	132	18	1614	1614	NUM
ejpam-4780	132	19	table	table	NOUN
ejpam-4780	132	20	1	1	NUM
ejpam-4780	132	21	:	:	PUNCT
ejpam-4780	132	22	the	the	DET
ejpam-4780	132	23	data	datum	NOUN
ejpam-4780	132	24	set	set	VERB
ejpam-4780	132	25	of	of	ADP
ejpam-4780	132	26	first	first	PROPN
ejpam-4780	132	27	numerical	numerical	PROPN
ejpam-4780	132	28	example	example	NOUN
ejpam-4780	132	29	.	.	PUNCT
ejpam-4780	133	1	dmu	dmu	PROPN
ejpam-4780	133	2	i1	i1	PROPN
ejpam-4780	133	3	i2	i2	PROPN
ejpam-4780	133	4	o1	o1	PROPN
ejpam-4780	133	5	1	1	NUM
ejpam-4780	133	6	1	1	NUM
ejpam-4780	133	7	2	2	NUM
ejpam-4780	133	8	1	1	NUM
ejpam-4780	133	9	2	2	NUM
ejpam-4780	133	10	2	2	NUM
ejpam-4780	133	11	1	1	NUM
ejpam-4780	133	12	1	1	NUM
ejpam-4780	133	13	3	3	NUM
ejpam-4780	133	14	4	4	NUM
ejpam-4780	133	15	1	1	NUM
ejpam-4780	133	16	1	1	NUM
ejpam-4780	133	17	4	4	NUM
ejpam-4780	133	18	1	1	NUM
ejpam-4780	133	19	4	4	NUM
ejpam-4780	133	20	1	1	NUM
ejpam-4780	133	21	5	5	NUM
ejpam-4780	133	22	1	1	NUM
ejpam-4780	133	23	8	8	NUM
ejpam-4780	133	24	1	1	NUM
ejpam-4780	133	25	table	table	NOUN
ejpam-4780	133	26	2	2	NUM
ejpam-4780	133	27	:	:	PUNCT
ejpam-4780	133	28	the	the	DET
ejpam-4780	133	29	results	result	NOUN
ejpam-4780	133	30	of	of	ADP
ejpam-4780	133	31	a	a	DET
ejpam-4780	133	32	multiplier	multipli	ADJ
ejpam-4780	133	33	ccr	ccr	PROPN
ejpam-4780	133	34	model	model	NOUN
ejpam-4780	133	35	(	(	PUNCT
ejpam-4780	133	36	2	2	NUM
ejpam-4780	133	37	)	)	PUNCT
ejpam-4780	133	38	by	by	ADP
ejpam-4780	133	39	using	use	VERB
ejpam-4780	133	40	gams	gams	PROPN
ejpam-4780	133	41	software	software	NOUN
ejpam-4780	133	42	.	.	PUNCT
ejpam-4780	134	1	dmu	dmu	PROPN
ejpam-4780	134	2	efficiency	efficiency	NOUN
ejpam-4780	134	3	v1	v1	PROPN
ejpam-4780	134	4	v2	v2	PROPN
ejpam-4780	134	5	u1	u1	NOUN
ejpam-4780	134	6	1	1	NUM
ejpam-4780	134	7	1.00000	1.00000	NUM
ejpam-4780	134	8	1.00000	1.00000	NUM
ejpam-4780	134	9	0.00000	0.00000	NUM
ejpam-4780	134	10	1.00000	1.00000	NUM
ejpam-4780	134	11	2	2	NUM
ejpam-4780	134	12	1.00000	1.00000	NUM
ejpam-4780	134	13	0.00000	0.00000	NUM
ejpam-4780	134	14	1.00000	1.00000	NUM
ejpam-4780	134	15	1.00000	1.00000	NUM
ejpam-4780	134	16	3	3	NUM
ejpam-4780	134	17	1.00000	1.00000	NUM
ejpam-4780	134	18	0.00000	0.00000	NUM
ejpam-4780	134	19	1.00000	1.00000	NUM
ejpam-4780	134	20	1.00000	1.00000	NUM
ejpam-4780	134	21	4	4	NUM
ejpam-4780	134	22	1.00000	1.00000	NUM
ejpam-4780	134	23	1.00000	1.00000	NUM
ejpam-4780	134	24	0.00000	0.00000	NUM
ejpam-4780	134	25	1.00000	1.00000	NUM
ejpam-4780	134	26	5	5	NUM
ejpam-4780	134	27	1.00000	1.00000	NUM
ejpam-4780	134	28	1.00000	1.00000	NUM
ejpam-4780	134	29	0.00000	0.00000	NUM
ejpam-4780	134	30	1.00000	1.00000	NUM
ejpam-4780	134	31	table	table	NOUN
ejpam-4780	134	32	3	3	NUM
ejpam-4780	134	33	:	:	PUNCT
ejpam-4780	134	34	the	the	DET
ejpam-4780	134	35	results	result	NOUN
ejpam-4780	134	36	of	of	ADP
ejpam-4780	134	37	the	the	DET
ejpam-4780	134	38	ccr	ccr	PROPN
ejpam-4780	134	39	models	model	NOUN
ejpam-4780	134	40	3	3	NUM
ejpam-4780	134	41	and	and	CCONJ
ejpam-4780	134	42	4	4	NUM
ejpam-4780	134	43	by	by	ADP
ejpam-4780	134	44	using	use	VERB
ejpam-4780	134	45	gams	gam	NOUN
ejpam-4780	134	46	software(ε∗	software(ε∗	NOUN
ejpam-4780	134	47	=	=	SYM
ejpam-4780	134	48	0.11111	0.11111	NUM
ejpam-4780	134	49	)	)	PUNCT
ejpam-4780	134	50	.	.	PUNCT
ejpam-4780	135	1	dmu	dmu	PROPN
ejpam-4780	135	2	z	z	PROPN
ejpam-4780	135	3	v1	v1	PROPN
ejpam-4780	135	4	v2	v2	PROPN
ejpam-4780	135	5	u1	u1	NOUN
ejpam-4780	135	6	1	1	NUM
ejpam-4780	135	7	1.00000	1.00000	NUM
ejpam-4780	135	8	0.77778	0.77778	NUM
ejpam-4780	135	9	0.11111	0.11111	NUM
ejpam-4780	135	10	1.00000	1.00000	NUM
ejpam-4780	135	11	2	2	NUM
ejpam-4780	135	12	1.00000	1.00000	NUM
ejpam-4780	135	13	0.11111	0.11111	NUM
ejpam-4780	135	14	0.77778	0.77778	NUM
ejpam-4780	135	15	1.00000	1.00000	NUM
ejpam-4780	135	16	3	3	NUM
ejpam-4780	135	17	0.77778	0.77778	NUM
ejpam-4780	135	18	0.11111	0.11111	NUM
ejpam-4780	135	19	0.55556	0.55556	NUM
ejpam-4780	135	20	0.77778	0.77778	NUM
ejpam-4780	135	21	4	4	NUM
ejpam-4780	135	22	0.77778	0.77778	NUM
ejpam-4780	135	23	0.55556	0.55556	NUM
ejpam-4780	135	24	0.11111	0.11111	NUM
ejpam-4780	135	25	0.77778	0.77778	NUM
ejpam-4780	135	26	5	5	NUM
ejpam-4780	135	27	0.33333	0.33333	NUM
ejpam-4780	135	28	0.11111	0.11111	NUM
ejpam-4780	135	29	0.11111	0.11111	NUM
ejpam-4780	135	30	0.33333	0.33333	NUM
ejpam-4780	135	31	table	table	NOUN
ejpam-4780	135	32	4	4	NUM
ejpam-4780	135	33	:	:	PUNCT
ejpam-4780	135	34	the	the	DET
ejpam-4780	135	35	results	result	NOUN
ejpam-4780	135	36	of	of	ADP
ejpam-4780	135	37	the	the	DET
ejpam-4780	135	38	basic	basic	ADJ
ejpam-4780	135	39	abc	abc	PROPN
ejpam-4780	135	40	algorithm	algorithm	NOUN
ejpam-4780	136	1	[	[	X
ejpam-4780	136	2	sn=100	sn=100	NOUN
ejpam-4780	136	3	and	and	CCONJ
ejpam-4780	136	4	ratio	ratio	NOUN
ejpam-4780	136	5	1:1	1:1	NUM
ejpam-4780	136	6	]	]	PUNCT
ejpam-4780	136	7	on	on	ADP
ejpam-4780	136	8	ccr	ccr	PROPN
ejpam-4780	136	9	model	model	PROPN
ejpam-4780	136	10	(	(	PUNCT
ejpam-4780	136	11	2	2	NUM
ejpam-4780	136	12	)	)	PUNCT
ejpam-4780	136	13	.	.	PUNCT
ejpam-4780	137	1	dmu	dmu	PROPN
ejpam-4780	137	2	z∗	z∗	PROPN
ejpam-4780	137	3	v1	v1	PROPN
ejpam-4780	137	4	v2	v2	PROPN
ejpam-4780	137	5	u1	u1	NOUN
ejpam-4780	137	6	|z	|z	PROPN
ejpam-4780	137	7	−	−	PROPN
ejpam-4780	137	8	z∗|	z∗|	PROPN
ejpam-4780	137	9	1	1	NUM
ejpam-4780	137	10	1.00133	1.00133	NUM
ejpam-4780	137	11	0.77618	0.77618	NUM
ejpam-4780	137	12	0.11291	0.11291	NUM
ejpam-4780	137	13	1.00133	1.00133	NUM
ejpam-4780	137	14	0.00133	0.00133	NUM
ejpam-4780	137	15	2	2	NUM
ejpam-4780	137	16	1.00131	1.00131	NUM
ejpam-4780	137	17	0.11292	0.11292	NUM
ejpam-4780	137	18	0.77616	0.77616	NUM
ejpam-4780	137	19	1.00131	1.00131	NUM
ejpam-4780	137	20	0.00131	0.00131	NUM
ejpam-4780	137	21	3	3	NUM
ejpam-4780	137	22	0.77904	0.77904	NUM
ejpam-4780	137	23	0.11407	0.11407	NUM
ejpam-4780	137	24	0.54572	0.54572	NUM
ejpam-4780	137	25	0.77904	0.77904	NUM
ejpam-4780	137	26	0.00126	0.00126	NUM
ejpam-4780	137	27	4	4	NUM
ejpam-4780	137	28	0.77901	0.77901	NUM
ejpam-4780	137	29	0.54564	0.54564	NUM
ejpam-4780	137	30	0.11409	0.11409	NUM
ejpam-4780	137	31	0.77901	0.77901	NUM
ejpam-4780	137	32	0.00123	0.00123	NUM
ejpam-4780	137	33	5	5	NUM
ejpam-4780	137	34	0.33460	0.33460	NUM
ejpam-4780	137	35	0.11114	0.11114	NUM
ejpam-4780	137	36	0.11123	0.11123	NUM
ejpam-4780	137	37	0.33460	0.33460	NUM
ejpam-4780	137	38	0.00127	0.00127	NUM
ejpam-4780	137	39	table	table	NOUN
ejpam-4780	137	40	5	5	NUM
ejpam-4780	137	41	:	:	PUNCT
ejpam-4780	137	42	the	the	DET
ejpam-4780	137	43	results	result	NOUN
ejpam-4780	137	44	of	of	ADP
ejpam-4780	137	45	mabc	mabc	ADJ
ejpam-4780	137	46	algorithm	algorithm	NOUN
ejpam-4780	137	47	on	on	ADP
ejpam-4780	137	48	ccr	ccr	PROPN
ejpam-4780	137	49	model	model	PROPN
ejpam-4780	137	50	(	(	PUNCT
ejpam-4780	137	51	2	2	NUM
ejpam-4780	137	52	)	)	PUNCT
ejpam-4780	137	53	for	for	ADP
ejpam-4780	137	54	ratio	ratio	NOUN
ejpam-4780	137	55	4:1	4:1	NUM
ejpam-4780	137	56	(	(	PUNCT
ejpam-4780	137	57	employed	employ	VERB
ejpam-4780	137	58	/	/	SYM
ejpam-4780	137	59	onlooker	onlooker	NOUN
ejpam-4780	137	60	)	)	PUNCT
ejpam-4780	137	61	)	)	PUNCT
ejpam-4780	137	62	.	.	PUNCT
ejpam-4780	138	1	dmu	dmu	PROPN
ejpam-4780	138	2	z∗	z∗	PROPN
ejpam-4780	138	3	v1	v1	PROPN
ejpam-4780	138	4	v2	v2	PROPN
ejpam-4780	138	5	u1	u1	NOUN
ejpam-4780	138	6	|z	|z	PROPN
ejpam-4780	138	7	−	−	PROPN
ejpam-4780	138	8	z∗|	z∗|	PROPN
ejpam-4780	138	9	1	1	NUM
ejpam-4780	138	10	1.00104	1.00104	NUM
ejpam-4780	138	11	0.77644	0.77644	NUM
ejpam-4780	138	12	0.11218	0.11218	NUM
ejpam-4780	138	13	1.00104	1.00104	NUM
ejpam-4780	138	14	0.00104	0.00104	NUM
ejpam-4780	138	15	2	2	NUM
ejpam-4780	138	16	1.00105	1.00105	NUM
ejpam-4780	138	17	0.11219	0.11219	NUM
ejpam-4780	138	18	0.77642	0.77642	NUM
ejpam-4780	138	19	1.00105	1.00105	NUM
ejpam-4780	138	20	0.00105	0.00105	NUM
ejpam-4780	138	21	3	3	NUM
ejpam-4780	138	22	0.77883	0.77883	NUM
ejpam-4780	138	23	0.11328	0.11328	NUM
ejpam-4780	138	24	0.54778	0.54778	NUM
ejpam-4780	138	25	0.77883	0.77883	NUM
ejpam-4780	138	26	0.00105	0.00105	NUM
ejpam-4780	138	27	4	4	NUM
ejpam-4780	138	28	0.77882	0.77882	NUM
ejpam-4780	138	29	0.54766	0.54766	NUM
ejpam-4780	138	30	0.11331	0.11331	NUM
ejpam-4780	138	31	0.77882	0.77882	NUM
ejpam-4780	138	32	0.00104	0.00104	NUM
ejpam-4780	138	33	5	5	NUM
ejpam-4780	138	34	0.33436	0.33436	NUM
ejpam-4780	138	35	0.11112	0.11112	NUM
ejpam-4780	138	36	0.11121	0.11121	NUM
ejpam-4780	138	37	0.33436	0.33436	NUM
ejpam-4780	138	38	0.00103	0.00103	NUM
ejpam-4780	138	39	s.	s.	PROPN
ejpam-4780	138	40	zeidani	zeidani	PROPN
ejpam-4780	138	41	et	et	PROPN
ejpam-4780	138	42	al	al	PROPN
ejpam-4780	138	43	.	.	PUNCT
ejpam-4780	138	44	/	/	SYM
ejpam-4780	138	45	eur	eur	PROPN
ejpam-4780	138	46	.	.	PUNCT
ejpam-4780	139	1	j.	j.	PROPN
ejpam-4780	139	2	pure	pure	PROPN
ejpam-4780	139	3	appl	appl	PROPN
ejpam-4780	139	4	.	.	PROPN
ejpam-4780	139	5	math	math	PROPN
ejpam-4780	139	6	,	,	PUNCT
ejpam-4780	139	7	16	16	NUM
ejpam-4780	139	8	(	(	PUNCT
ejpam-4780	139	9	3	3	NUM
ejpam-4780	139	10	)	)	PUNCT
ejpam-4780	139	11	(	(	PUNCT
ejpam-4780	139	12	2023	2023	NUM
ejpam-4780	139	13	)	)	PUNCT
ejpam-4780	139	14	,	,	PUNCT
ejpam-4780	139	15	1608	1608	NUM
ejpam-4780	139	16	-	-	SYM
ejpam-4780	139	17	1623	1623	NUM
ejpam-4780	139	18	1615	1615	NUM
ejpam-4780	139	19	table	table	NOUN
ejpam-4780	139	20	6	6	NUM
ejpam-4780	139	21	:	:	PUNCT
ejpam-4780	139	22	the	the	DET
ejpam-4780	139	23	results	result	NOUN
ejpam-4780	139	24	mabc	mabc	ADJ
ejpam-4780	139	25	algorithm	algorithm	NOUN
ejpam-4780	139	26	on	on	ADP
ejpam-4780	139	27	ccr	ccr	PROPN
ejpam-4780	139	28	model	model	PROPN
ejpam-4780	139	29	(	(	PUNCT
ejpam-4780	139	30	2	2	NUM
ejpam-4780	139	31	)	)	PUNCT
ejpam-4780	139	32	for	for	ADP
ejpam-4780	139	33	ratio	ratio	NOUN
ejpam-4780	139	34	3:1	3:1	NUM
ejpam-4780	139	35	.	.	PUNCT
ejpam-4780	140	1	dmu	dmu	PROPN
ejpam-4780	140	2	z∗	z∗	PROPN
ejpam-4780	140	3	v1	v1	PROPN
ejpam-4780	140	4	v2	v2	PROPN
ejpam-4780	140	5	u1	u1	NOUN
ejpam-4780	140	6	|z	|z	PROPN
ejpam-4780	140	7	−	−	PROPN
ejpam-4780	140	8	z∗|	z∗|	PROPN
ejpam-4780	140	9	1	1	NUM
ejpam-4780	140	10	1.00078	1.00078	NUM
ejpam-4780	140	11	0.77658	0.77658	NUM
ejpam-4780	140	12	0.11196	0.11196	NUM
ejpam-4780	140	13	1.00078	1.00078	NUM
ejpam-4780	140	14	0.00078	0.00078	NUM
ejpam-4780	140	15	2	2	NUM
ejpam-4780	140	16	1.00076	1.00076	NUM
ejpam-4780	140	17	0.11197	0.11197	NUM
ejpam-4780	140	18	0.77656	0.77656	NUM
ejpam-4780	140	19	1.00076	1.00076	NUM
ejpam-4780	140	20	0.00076	0.00076	NUM
ejpam-4780	140	21	3	3	NUM
ejpam-4780	140	22	0.77852	0.77852	NUM
ejpam-4780	140	23	0.11251	0.11251	NUM
ejpam-4780	140	24	0.55046	0.55046	NUM
ejpam-4780	140	25	0.77852	0.77852	NUM
ejpam-4780	140	26	0.00074	0.00074	NUM
ejpam-4780	140	27	4	4	NUM
ejpam-4780	140	28	0.77853	0.77853	NUM
ejpam-4780	140	29	0.55050	0.55050	NUM
ejpam-4780	140	30	0.11250	0.11250	NUM
ejpam-4780	140	31	0.77853	0.77853	NUM
ejpam-4780	140	32	0.00075	0.00075	NUM
ejpam-4780	140	33	5	5	NUM
ejpam-4780	140	34	0.33408	0.33408	NUM
ejpam-4780	140	35	0.11111	0.11111	NUM
ejpam-4780	140	36	0.11120	0.11120	NUM
ejpam-4780	140	37	0.33408	0.33408	NUM
ejpam-4780	141	1	0.00075	0.00075	NUM
ejpam-4780	141	2	table	table	NOUN
ejpam-4780	141	3	7	7	NUM
ejpam-4780	141	4	:	:	PUNCT
ejpam-4780	141	5	the	the	DET
ejpam-4780	141	6	results	result	NOUN
ejpam-4780	141	7	mabc	mabc	ADJ
ejpam-4780	141	8	algorithm	algorithm	NOUN
ejpam-4780	141	9	on	on	ADP
ejpam-4780	141	10	ccr	ccr	PROPN
ejpam-4780	141	11	model	model	PROPN
ejpam-4780	141	12	(	(	PUNCT
ejpam-4780	141	13	2	2	NUM
ejpam-4780	141	14	)	)	PUNCT
ejpam-4780	141	15	for	for	ADP
ejpam-4780	141	16	ratio	ratio	NOUN
ejpam-4780	141	17	2:1	2:1	NUM
ejpam-4780	141	18	.	.	PUNCT
ejpam-4780	142	1	dmu	dmu	PROPN
ejpam-4780	142	2	z∗	z∗	PROPN
ejpam-4780	142	3	v1	v1	PROPN
ejpam-4780	142	4	v2	v2	PROPN
ejpam-4780	142	5	u1	u1	NOUN
ejpam-4780	142	6	|z	|z	PROPN
ejpam-4780	142	7	−	−	PROPN
ejpam-4780	142	8	z∗|	z∗|	PROPN
ejpam-4780	142	9	1	1	NUM
ejpam-4780	142	10	1.00042	1.00042	NUM
ejpam-4780	142	11	0.77724	0.77724	NUM
ejpam-4780	142	12	0.11148	0.11148	NUM
ejpam-4780	142	13	1.00042	1.00042	NUM
ejpam-4780	142	14	0.00042	0.00042	NUM
ejpam-4780	142	15	2	2	NUM
ejpam-4780	142	16	1.00044	1.00044	NUM
ejpam-4780	142	17	0.11147	0.11147	NUM
ejpam-4780	142	18	0.77726	0.77726	NUM
ejpam-4780	142	19	1.00044	1.00044	NUM
ejpam-4780	142	20	0.00044	0.00044	NUM
ejpam-4780	142	21	3	3	NUM
ejpam-4780	142	22	0.77817	0.77817	NUM
ejpam-4780	142	23	0.11213	0.11213	NUM
ejpam-4780	142	24	0.55168	0.55168	NUM
ejpam-4780	142	25	0.77817	0.77817	NUM
ejpam-4780	142	26	0.00039	0.00039	NUM
ejpam-4780	142	27	4	4	NUM
ejpam-4780	142	28	0.77815	0.77815	NUM
ejpam-4780	142	29	0.55170	0.55170	NUM
ejpam-4780	142	30	0.11215	0.11215	NUM
ejpam-4780	142	31	0.77815	0.77815	NUM
ejpam-4780	142	32	0.00037	0.00037	NUM
ejpam-4780	142	33	5	5	NUM
ejpam-4780	142	34	0.33374	0.33374	NUM
ejpam-4780	142	35	0.11109	0.11109	NUM
ejpam-4780	142	36	0.11118	0.11118	NUM
ejpam-4780	142	37	0.33374	0.33374	NUM
ejpam-4780	142	38	0.00041	0.00041	PRON
ejpam-4780	142	39	table	table	NOUN
ejpam-4780	142	40	8	8	NUM
ejpam-4780	142	41	:	:	PUNCT
ejpam-4780	142	42	the	the	DET
ejpam-4780	142	43	results	result	NOUN
ejpam-4780	142	44	mabc	mabc	ADJ
ejpam-4780	142	45	algorithm	algorithm	NOUN
ejpam-4780	142	46	on	on	ADP
ejpam-4780	142	47	ccr	ccr	PROPN
ejpam-4780	142	48	model	model	PROPN
ejpam-4780	142	49	(	(	PUNCT
ejpam-4780	142	50	2	2	NUM
ejpam-4780	142	51	)	)	PUNCT
ejpam-4780	142	52	for	for	ADP
ejpam-4780	142	53	ratio	ratio	NOUN
ejpam-4780	142	54	1:2	1:2	NUM
ejpam-4780	142	55	.	.	PUNCT
ejpam-4780	143	1	dmu	dmu	PROPN
ejpam-4780	143	2	z∗	z∗	PROPN
ejpam-4780	143	3	v1	v1	PROPN
ejpam-4780	143	4	v2	v2	PROPN
ejpam-4780	143	5	u1	u1	NOUN
ejpam-4780	143	6	|z	|z	PROPN
ejpam-4780	143	7	−	−	PROPN
ejpam-4780	143	8	z∗|	z∗|	PROPN
ejpam-4780	143	9	1	1	NUM
ejpam-4780	143	10	1.00025	1.00025	NUM
ejpam-4780	143	11	0.77757	0.77757	NUM
ejpam-4780	143	12	0.11125	0.11125	NUM
ejpam-4780	143	13	1.00025	1.00025	NUM
ejpam-4780	143	14	0.00025	0.00025	NUM
ejpam-4780	143	15	2	2	NUM
ejpam-4780	143	16	1.00023	1.00023	NUM
ejpam-4780	143	17	0.11125	0.11125	NUM
ejpam-4780	143	18	0.77758	0.77758	NUM
ejpam-4780	143	19	1.00023	1.00023	NUM
ejpam-4780	143	20	0.00023	0.00023	NUM
ejpam-4780	143	21	3	3	NUM
ejpam-4780	143	22	0.77803	0.77803	NUM
ejpam-4780	143	23	0.11157	0.11157	NUM
ejpam-4780	143	24	0.55380	0.55380	NUM
ejpam-4780	143	25	0.77803	0.77803	NUM
ejpam-4780	143	26	0.00025	0.00025	NUM
ejpam-4780	143	27	4	4	NUM
ejpam-4780	143	28	0.77802	0.77802	NUM
ejpam-4780	143	29	0.55381	0.55381	NUM
ejpam-4780	143	30	0.11157	0.11157	NUM
ejpam-4780	143	31	0.77802	0.77802	NUM
ejpam-4780	143	32	0.00024	0.00024	NUM
ejpam-4780	143	33	5	5	NUM
ejpam-4780	143	34	0.33356	0.33356	NUM
ejpam-4780	143	35	0.11106	0.11106	NUM
ejpam-4780	143	36	0.11117	0.11117	NUM
ejpam-4780	143	37	0.33356	0.33356	NUM
ejpam-4780	143	38	0.00023	0.00023	NUM
ejpam-4780	143	39	table	table	NOUN
ejpam-4780	143	40	9	9	NUM
ejpam-4780	143	41	:	:	PUNCT
ejpam-4780	143	42	the	the	DET
ejpam-4780	143	43	results	result	NOUN
ejpam-4780	143	44	mabc	mabc	ADJ
ejpam-4780	143	45	algorithm	algorithm	NOUN
ejpam-4780	143	46	on	on	ADP
ejpam-4780	143	47	ccr	ccr	PROPN
ejpam-4780	143	48	model	model	PROPN
ejpam-4780	143	49	(	(	PUNCT
ejpam-4780	143	50	2	2	NUM
ejpam-4780	143	51	)	)	PUNCT
ejpam-4780	143	52	for	for	ADP
ejpam-4780	143	53	ratio	ratio	NOUN
ejpam-4780	143	54	1:3	1:3	NUM
ejpam-4780	143	55	.	.	PUNCT
ejpam-4780	144	1	dmu	dmu	PROPN
ejpam-4780	144	2	z∗	z∗	PROPN
ejpam-4780	144	3	v1	v1	PROPN
ejpam-4780	144	4	v2	v2	PROPN
ejpam-4780	144	5	u1	u1	NOUN
ejpam-4780	144	6	|z	|z	PROPN
ejpam-4780	144	7	−	−	PROPN
ejpam-4780	144	8	z∗|	z∗|	PROPN
ejpam-4780	144	9	1	1	NUM
ejpam-4780	144	10	1.00008	1.00008	NUM
ejpam-4780	144	11	0.77870	0.77870	NUM
ejpam-4780	144	12	0.11067	0.11067	NUM
ejpam-4780	144	13	1.00008	1.00008	NUM
ejpam-4780	144	14	0.00008	0.00008	NUM
ejpam-4780	144	15	2	2	NUM
ejpam-4780	144	16	1.00007	1.00007	NUM
ejpam-4780	144	17	0.11066	0.11066	NUM
ejpam-4780	144	18	0.77872	0.77872	NUM
ejpam-4780	144	19	1.00007	1.00007	NUM
ejpam-4780	144	20	0.00007	0.00007	NUM
ejpam-4780	144	21	3	3	NUM
ejpam-4780	144	22	0.77788	0.77788	NUM
ejpam-4780	144	23	0.11106	0.11106	NUM
ejpam-4780	144	24	0.55580	0.55580	NUM
ejpam-4780	144	25	0.77788	0.77788	NUM
ejpam-4780	144	26	0.00010	0.00010	NUM
ejpam-4780	144	27	4	4	NUM
ejpam-4780	144	28	0.77787	0.77787	NUM
ejpam-4780	144	29	0.55580	0.55580	NUM
ejpam-4780	144	30	0.11111	0.11111	NUM
ejpam-4780	144	31	0.77787	0.77787	NUM
ejpam-4780	144	32	0.00009	0.00009	NUM
ejpam-4780	144	33	5	5	NUM
ejpam-4780	144	34	0.33341	0.33341	NUM
ejpam-4780	144	35	0.11104	0.11104	NUM
ejpam-4780	144	36	0.11113	0.11113	NUM
ejpam-4780	144	37	0.33341	0.33341	NUM
ejpam-4780	144	38	0.00008	0.00008	NUM
ejpam-4780	144	39	table	table	NOUN
ejpam-4780	144	40	10	10	NUM
ejpam-4780	144	41	:	:	PUNCT
ejpam-4780	144	42	the	the	DET
ejpam-4780	144	43	results	result	NOUN
ejpam-4780	144	44	mabc	mabc	ADJ
ejpam-4780	144	45	algorithm	algorithm	NOUN
ejpam-4780	144	46	on	on	ADP
ejpam-4780	144	47	ccr	ccr	PROPN
ejpam-4780	144	48	model	model	PROPN
ejpam-4780	144	49	(	(	PUNCT
ejpam-4780	144	50	2	2	NUM
ejpam-4780	144	51	)	)	PUNCT
ejpam-4780	144	52	for	for	ADP
ejpam-4780	144	53	ratio	ratio	NOUN
ejpam-4780	144	54	1:4	1:4	NUM
ejpam-4780	144	55	.	.	PUNCT
ejpam-4780	145	1	dmu	dmu	PROPN
ejpam-4780	145	2	z∗	z∗	PROPN
ejpam-4780	145	3	v1	v1	PROPN
ejpam-4780	145	4	v2	v2	PROPN
ejpam-4780	145	5	u1	u1	NOUN
ejpam-4780	145	6	|z	|z	PROPN
ejpam-4780	145	7	−	−	PROPN
ejpam-4780	145	8	z∗|	z∗|	NOUN
ejpam-4780	145	9	1	1	NUM
ejpam-4780	145	10	1.00002	1.00002	NUM
ejpam-4780	145	11	0.77889	0.77889	NUM
ejpam-4780	145	12	0.11056	0.11056	NUM
ejpam-4780	145	13	1.00002	1.00002	NUM
ejpam-4780	145	14	0.00002	0.00002	NUM
ejpam-4780	145	15	2	2	NUM
ejpam-4780	145	16	1.00002	1.00002	NUM
ejpam-4780	145	17	0.11056	0.11056	NUM
ejpam-4780	145	18	0.77890	0.77890	NUM
ejpam-4780	145	19	1.00002	1.00002	NUM
ejpam-4780	145	20	0.00002	0.00002	NUM
ejpam-4780	145	21	3	3	NUM
ejpam-4780	145	22	0.77779	0.77779	NUM
ejpam-4780	145	23	0.11094	0.11094	NUM
ejpam-4780	145	24	0.55626	0.55626	NUM
ejpam-4780	145	25	0.77779	0.77779	NUM
ejpam-4780	146	1	0.00001	0.00001	NUM
ejpam-4780	146	2	4	4	NUM
ejpam-4780	146	3	0.77777	0.77777	NUM
ejpam-4780	146	4	0.55654	0.55654	NUM
ejpam-4780	146	5	0.11087	0.11087	NUM
ejpam-4780	146	6	0.77777	0.77777	NUM
ejpam-4780	146	7	0.00001	0.00001	NUM
ejpam-4780	146	8	5	5	NUM
ejpam-4780	146	9	0.33335	0.33335	NUM
ejpam-4780	146	10	0.11101	0.11101	NUM
ejpam-4780	146	11	0.11112	0.11112	NUM
ejpam-4780	146	12	0.33335	0.33335	NUM
ejpam-4780	146	13	0.00002	0.00002	NUM
ejpam-4780	146	14	s.	s.	PROPN
ejpam-4780	146	15	zeidani	zeidani	PROPN
ejpam-4780	146	16	et	et	PROPN
ejpam-4780	146	17	al	al	PROPN
ejpam-4780	146	18	.	.	PUNCT
ejpam-4780	146	19	/	/	SYM
ejpam-4780	146	20	eur	eur	PROPN
ejpam-4780	146	21	.	.	PUNCT
ejpam-4780	147	1	j.	j.	PROPN
ejpam-4780	147	2	pure	pure	PROPN
ejpam-4780	147	3	appl	appl	PROPN
ejpam-4780	147	4	.	.	PROPN
ejpam-4780	147	5	math	math	PROPN
ejpam-4780	147	6	,	,	PUNCT
ejpam-4780	147	7	16	16	NUM
ejpam-4780	147	8	(	(	PUNCT
ejpam-4780	147	9	3	3	NUM
ejpam-4780	147	10	)	)	PUNCT
ejpam-4780	147	11	(	(	PUNCT
ejpam-4780	147	12	2023	2023	NUM
ejpam-4780	147	13	)	)	PUNCT
ejpam-4780	147	14	,	,	PUNCT
ejpam-4780	147	15	1608	1608	NUM
ejpam-4780	147	16	-	-	SYM
ejpam-4780	147	17	1623	1623	NUM
ejpam-4780	147	18	1616	1616	NUM
ejpam-4780	147	19	figure	figure	NOUN
ejpam-4780	147	20	1	1	NUM
ejpam-4780	147	21	:	:	PUNCT
ejpam-4780	147	22	comparison	comparison	NOUN
ejpam-4780	147	23	of	of	ADP
ejpam-4780	147	24	gams	gams	PROPN
ejpam-4780	147	25	,	,	PUNCT
ejpam-4780	147	26	abc	abc	PROPN
ejpam-4780	147	27	and	and	CCONJ
ejpam-4780	147	28	mabc	mabc	NOUN
ejpam-4780	147	29	in	in	ADP
ejpam-4780	147	30	terms	term	NOUN
ejpam-4780	147	31	of	of	ADP
ejpam-4780	147	32	ε∗.	ε∗.	NOUN
ejpam-4780	147	33	using	use	VERB
ejpam-4780	147	34	gams	gams	PROPN
ejpam-4780	147	35	software	software	NOUN
ejpam-4780	147	36	,	,	PUNCT
ejpam-4780	147	37	the	the	DET
ejpam-4780	147	38	basic	basic	ADJ
ejpam-4780	147	39	ccr	ccr	PROPN
ejpam-4780	147	40	model	model	NOUN
ejpam-4780	147	41	(	(	PUNCT
ejpam-4780	147	42	2	2	NUM
ejpam-4780	147	43	)	)	PUNCT
ejpam-4780	147	44	and	and	CCONJ
ejpam-4780	147	45	both	both	DET
ejpam-4780	147	46	models	model	NOUN
ejpam-4780	147	47	3	3	NUM
ejpam-4780	147	48	and	and	CCONJ
ejpam-4780	147	49	4	4	NUM
ejpam-4780	147	50	are	be	AUX
ejpam-4780	147	51	solved	solve	VERB
ejpam-4780	147	52	and	and	CCONJ
ejpam-4780	147	53	the	the	DET
ejpam-4780	147	54	results	result	NOUN
ejpam-4780	147	55	are	be	AUX
ejpam-4780	147	56	presented	present	VERB
ejpam-4780	147	57	in	in	ADP
ejpam-4780	147	58	tables	table	NOUN
ejpam-4780	147	59	2	2	NUM
ejpam-4780	147	60	and	and	CCONJ
ejpam-4780	147	61	3	3	NUM
ejpam-4780	147	62	.	.	X
ejpam-4780	148	1	there	there	PRON
ejpam-4780	148	2	are	be	VERB
ejpam-4780	148	3	two	two	NUM
ejpam-4780	148	4	ccr	ccr	PROPN
ejpam-4780	148	5	-	-	PUNCT
ejpam-4780	148	6	efficient	efficient	ADJ
ejpam-4780	148	7	dmus	dmus	NOUN
ejpam-4780	148	8	from	from	ADP
ejpam-4780	148	9	both	both	DET
ejpam-4780	148	10	models	model	NOUN
ejpam-4780	148	11	3	3	NUM
ejpam-4780	148	12	and	and	CCONJ
ejpam-4780	148	13	4	4	NUM
ejpam-4780	148	14	simultaneously	simultaneously	ADV
ejpam-4780	148	15	.	.	PUNCT
ejpam-4780	149	1	it	it	PRON
ejpam-4780	149	2	should	should	AUX
ejpam-4780	149	3	be	be	AUX
ejpam-4780	149	4	noticed	notice	VERB
ejpam-4780	149	5	that	that	SCONJ
ejpam-4780	149	6	model	model	NOUN
ejpam-4780	149	7	(	(	PUNCT
ejpam-4780	149	8	2	2	NUM
ejpam-4780	149	9	)	)	PUNCT
ejpam-4780	149	10	is	be	AUX
ejpam-4780	149	11	unable	unable	ADJ
ejpam-4780	149	12	to	to	PART
ejpam-4780	149	13	accurately	accurately	ADV
ejpam-4780	149	14	determine	determine	VERB
ejpam-4780	149	15	the	the	DET
ejpam-4780	149	16	efficient	efficient	ADJ
ejpam-4780	149	17	dmu	dmu	PROPN
ejpam-4780	149	18	.	.	PUNCT
ejpam-4780	150	1	in	in	ADP
ejpam-4780	150	2	order	order	NOUN
ejpam-4780	150	3	to	to	PART
ejpam-4780	150	4	handle	handle	VERB
ejpam-4780	150	5	this	this	DET
ejpam-4780	150	6	inconsistency	inconsistency	NOUN
ejpam-4780	150	7	,	,	PUNCT
ejpam-4780	150	8	we	we	PRON
ejpam-4780	150	9	propose	propose	VERB
ejpam-4780	150	10	the	the	DET
ejpam-4780	150	11	following	follow	VERB
ejpam-4780	150	12	modified	modify	VERB
ejpam-4780	150	13	abc	abc	PROPN
ejpam-4780	150	14	algorithm	algorithm	PROPN
ejpam-4780	150	15	to	to	PART
ejpam-4780	150	16	determine	determine	VERB
ejpam-4780	150	17	an	an	DET
ejpam-4780	150	18	appropriate	appropriate	ADJ
ejpam-4780	150	19	epsilon	epsilon	NOUN
ejpam-4780	150	20	for	for	ADP
ejpam-4780	150	21	the	the	DET
ejpam-4780	150	22	model	model	NOUN
ejpam-4780	150	23	(	(	PUNCT
ejpam-4780	150	24	2	2	NUM
ejpam-4780	150	25	)	)	PUNCT
ejpam-4780	150	26	.	.	PUNCT
ejpam-4780	151	1	the	the	DET
ejpam-4780	151	2	results	result	NOUN
ejpam-4780	151	3	of	of	ADP
ejpam-4780	151	4	the	the	DET
ejpam-4780	151	5	above	above	ADJ
ejpam-4780	151	6	example	example	NOUN
ejpam-4780	151	7	,	,	PUNCT
ejpam-4780	151	8	it	it	PRON
ejpam-4780	151	9	can	can	AUX
ejpam-4780	151	10	be	be	AUX
ejpam-4780	151	11	seen	see	VERB
ejpam-4780	151	12	that	that	SCONJ
ejpam-4780	151	13	the	the	DET
ejpam-4780	151	14	group	group	NOUN
ejpam-4780	151	15	of	of	ADP
ejpam-4780	151	16	onlooker	onlooker	NOUN
ejpam-4780	151	17	bees	bee	NOUN
ejpam-4780	151	18	with	with	ADP
ejpam-4780	151	19	a	a	DET
ejpam-4780	151	20	higher	high	ADJ
ejpam-4780	151	21	ratio	ratio	NOUN
ejpam-4780	151	22	has	have	VERB
ejpam-4780	151	23	a	a	DET
ejpam-4780	151	24	better	well	ADJ
ejpam-4780	151	25	effect	effect	NOUN
ejpam-4780	151	26	on	on	ADP
ejpam-4780	151	27	the	the	DET
ejpam-4780	151	28	obtained	obtain	VERB
ejpam-4780	151	29	results	result	NOUN
ejpam-4780	151	30	.	.	PUNCT
ejpam-4780	152	1	in	in	ADP
ejpam-4780	152	2	addition	addition	NOUN
ejpam-4780	152	3	,	,	PUNCT
ejpam-4780	152	4	by	by	ADP
ejpam-4780	152	5	using	use	VERB
ejpam-4780	152	6	gams	gam	NOUN
ejpam-4780	152	7	software	software	VERB
ejpam-4780	152	8	the	the	DET
ejpam-4780	152	9	optimal	optimal	ADJ
ejpam-4780	152	10	epsilon	epsilon	PROPN
ejpam-4780	152	11	value	value	NOUN
ejpam-4780	152	12	of	of	ADP
ejpam-4780	152	13	models	model	NOUN
ejpam-4780	152	14	(	(	PUNCT
ejpam-4780	152	15	3	3	NUM
ejpam-4780	152	16	)	)	PUNCT
ejpam-4780	152	17	and	and	CCONJ
ejpam-4780	152	18	(	(	PUNCT
ejpam-4780	152	19	4	4	X
ejpam-4780	152	20	)	)	PUNCT
ejpam-4780	152	21	for	for	ADP
ejpam-4780	152	22	this	this	DET
ejpam-4780	152	23	data	datum	NOUN
ejpam-4780	152	24	set	set	VERB
ejpam-4780	152	25	is	be	AUX
ejpam-4780	152	26	equal	equal	ADJ
ejpam-4780	152	27	to	to	PART
ejpam-4780	152	28	ε∗	ε∗	PROPN
ejpam-4780	152	29	=	=	SYM
ejpam-4780	152	30	0.11111	0.11111	NUM
ejpam-4780	152	31	.	.	PUNCT
ejpam-4780	153	1	obviously	obviously	ADV
ejpam-4780	153	2	,	,	PUNCT
ejpam-4780	153	3	in	in	ADP
ejpam-4780	153	4	this	this	DET
ejpam-4780	153	5	situation	situation	NOUN
ejpam-4780	153	6	,	,	PUNCT
ejpam-4780	153	7	the	the	DET
ejpam-4780	153	8	decision	decision	NOUN
ejpam-4780	153	9	maker	maker	NOUN
ejpam-4780	153	10	to	to	PART
ejpam-4780	153	11	select	select	VERB
ejpam-4780	153	12	efficient	efficient	ADJ
ejpam-4780	153	13	units	unit	NOUN
ejpam-4780	153	14	must	must	AUX
ejpam-4780	153	15	solve	solve	VERB
ejpam-4780	153	16	two	two	NUM
ejpam-4780	153	17	models	model	NOUN
ejpam-4780	153	18	to	to	PART
ejpam-4780	153	19	achieve	achieve	VERB
ejpam-4780	153	20	a	a	DET
ejpam-4780	153	21	more	more	ADV
ejpam-4780	153	22	accurate	accurate	ADJ
ejpam-4780	153	23	solution	solution	NOUN
ejpam-4780	153	24	.	.	PUNCT
ejpam-4780	154	1	so	so	ADV
ejpam-4780	154	2	,	,	PUNCT
ejpam-4780	154	3	according	accord	VERB
ejpam-4780	154	4	to	to	ADP
ejpam-4780	154	5	the	the	DET
ejpam-4780	154	6	obtained	obtain	VERB
ejpam-4780	154	7	results	result	NOUN
ejpam-4780	154	8	,	,	PUNCT
ejpam-4780	154	9	dmu3	dmu3	NOUN
ejpam-4780	154	10	and	and	CCONJ
ejpam-4780	154	11	dmu4	dmu4	PROPN
ejpam-4780	154	12	and	and	CCONJ
ejpam-4780	154	13	dmu5	dmu5	NOUN
ejpam-4780	154	14	drop	drop	NOUN
ejpam-4780	154	15	to	to	ADP
ejpam-4780	154	16	inefficient	inefficient	ADJ
ejpam-4780	154	17	for	for	ADP
ejpam-4780	154	18	the	the	DET
ejpam-4780	154	19	gams	gams	PROPN
ejpam-4780	154	20	software	software	NOUN
ejpam-4780	154	21	and	and	CCONJ
ejpam-4780	154	22	the	the	DET
ejpam-4780	154	23	original	original	ADJ
ejpam-4780	154	24	abc	abc	NOUN
ejpam-4780	154	25	and	and	CCONJ
ejpam-4780	154	26	modified	modify	VERB
ejpam-4780	154	27	abc	abc	PROPN
ejpam-4780	154	28	algorithms	algorithms	PROPN
ejpam-4780	154	29	(	(	PUNCT
ejpam-4780	154	30	see	see	VERB
ejpam-4780	154	31	figure	figure	NOUN
ejpam-4780	154	32	1	1	NUM
ejpam-4780	154	33	)	)	PUNCT
ejpam-4780	154	34	.	.	PUNCT
ejpam-4780	155	1	also	also	ADV
ejpam-4780	155	2	,	,	PUNCT
ejpam-4780	155	3	|z−	|z−	PROPN
ejpam-4780	155	4	z∗|	z∗|	NOUN
ejpam-4780	155	5	is	be	AUX
ejpam-4780	155	6	the	the	DET
ejpam-4780	155	7	difference	difference	NOUN
ejpam-4780	155	8	between	between	ADP
ejpam-4780	155	9	z	z	NOUN
ejpam-4780	155	10	from	from	ADP
ejpam-4780	155	11	the	the	DET
ejpam-4780	155	12	multiplier	multipli	ADJ
ejpam-4780	155	13	ccr	ccr	PROPN
ejpam-4780	155	14	models	model	NOUN
ejpam-4780	155	15	3	3	NUM
ejpam-4780	155	16	and	and	CCONJ
ejpam-4780	155	17	4	4	NUM
ejpam-4780	155	18	(	(	PUNCT
ejpam-4780	155	19	red	red	ADJ
ejpam-4780	155	20	star	star	NOUN
ejpam-4780	155	21	in	in	ADP
ejpam-4780	155	22	figure	figure	NOUN
ejpam-4780	155	23	1	1	NUM
ejpam-4780	155	24	)	)	PUNCT
ejpam-4780	155	25	,	,	PUNCT
ejpam-4780	155	26	and	and	CCONJ
ejpam-4780	155	27	z∗	z∗	NOUN
ejpam-4780	155	28	from	from	ADP
ejpam-4780	155	29	the	the	DET
ejpam-4780	155	30	basic	basic	ADJ
ejpam-4780	155	31	abc	abc	PROPN
ejpam-4780	155	32	and	and	CCONJ
ejpam-4780	155	33	mabc	mabc	ADJ
ejpam-4780	155	34	algorithms	algorithm	NOUN
ejpam-4780	155	35	.	.	PUNCT
ejpam-4780	156	1	as	as	SCONJ
ejpam-4780	156	2	tables	table	NOUN
ejpam-4780	156	3	4	4	NUM
ejpam-4780	156	4	-	-	SYM
ejpam-4780	156	5	10	10	NUM
ejpam-4780	156	6	indicate	indicate	VERB
ejpam-4780	156	7	,	,	PUNCT
ejpam-4780	156	8	ε∗	ε∗	PROPN
ejpam-4780	156	9	is	be	AUX
ejpam-4780	156	10	a	a	DET
ejpam-4780	156	11	parameter	parameter	NOUN
ejpam-4780	156	12	ranging	range	VERB
ejpam-4780	156	13	the	the	DET
ejpam-4780	156	14	interval	interval	NOUN
ejpam-4780	156	15	[	[	X
ejpam-4780	156	16	0	0	NUM
ejpam-4780	156	17	,	,	PUNCT
ejpam-4780	156	18	1	1	NUM
ejpam-4780	156	19	]	]	PUNCT
ejpam-4780	156	20	,	,	PUNCT
ejpam-4780	156	21	and	and	CCONJ
ejpam-4780	156	22	ε∗	ε∗	PROPN
ejpam-4780	156	23	had	have	VERB
ejpam-4780	156	24	the	the	DET
ejpam-4780	156	25	most	most	ADJ
ejpam-4780	156	26	decrease	decrease	NOUN
ejpam-4780	156	27	in	in	ADP
ejpam-4780	156	28	table	table	NOUN
ejpam-4780	156	29	10	10	NUM
ejpam-4780	156	30	.	.	PUNCT
ejpam-4780	157	1	4.2	4.2	NUM
ejpam-4780	157	2	.	.	PUNCT
ejpam-4780	157	3	example	example	NOUN
ejpam-4780	157	4	2	2	NUM
ejpam-4780	157	5	:	:	PUNCT
ejpam-4780	157	6	this	this	DET
ejpam-4780	157	7	example	example	NOUN
ejpam-4780	157	8	has	have	AUX
ejpam-4780	157	9	been	be	AUX
ejpam-4780	157	10	sketched	sketch	VERB
ejpam-4780	157	11	for	for	ADP
ejpam-4780	157	12	nine	nine	NUM
ejpam-4780	157	13	units	unit	NOUN
ejpam-4780	157	14	with	with	ADP
ejpam-4780	157	15	two	two	NUM
ejpam-4780	157	16	inputs	input	NOUN
ejpam-4780	157	17	and	and	CCONJ
ejpam-4780	157	18	two	two	NUM
ejpam-4780	157	19	outputs	output	NOUN
ejpam-4780	157	20	.	.	PUNCT
ejpam-4780	158	1	whose	whose	DET
ejpam-4780	158	2	data	datum	NOUN
ejpam-4780	158	3	has	have	AUX
ejpam-4780	158	4	been	be	AUX
ejpam-4780	158	5	listed	list	VERB
ejpam-4780	158	6	in	in	ADP
ejpam-4780	158	7	table	table	NOUN
ejpam-4780	158	8	11	11	NUM
ejpam-4780	159	1	[	[	X
ejpam-4780	159	2	22	22	NUM
ejpam-4780	159	3	]	]	PUNCT
ejpam-4780	159	4	.	.	PUNCT
ejpam-4780	160	1	we	we	PRON
ejpam-4780	160	2	obtained	obtain	VERB
ejpam-4780	160	3	the	the	DET
ejpam-4780	160	4	weight	weight	NOUN
ejpam-4780	160	5	coefficients	coefficient	NOUN
ejpam-4780	160	6	v1	v1	PROPN
ejpam-4780	160	7	,	,	PUNCT
ejpam-4780	160	8	v2	v2	PROPN
ejpam-4780	160	9	and	and	CCONJ
ejpam-4780	160	10	u1	u1	NOUN
ejpam-4780	160	11	,	,	PUNCT
ejpam-4780	160	12	u2	u2	NOUN
ejpam-4780	160	13	by	by	ADP
ejpam-4780	160	14	using	use	VERB
ejpam-4780	160	15	gams	gams	PROPN
ejpam-4780	160	16	software	software	NOUN
ejpam-4780	160	17	and	and	CCONJ
ejpam-4780	160	18	the	the	DET
ejpam-4780	160	19	original	original	ADJ
ejpam-4780	160	20	abc	abc	PROPN
ejpam-4780	160	21	and	and	CCONJ
ejpam-4780	160	22	mabc	mabc	ADJ
ejpam-4780	160	23	algorithms	algorithm	NOUN
ejpam-4780	160	24	.	.	PUNCT
ejpam-4780	161	1	comparison	comparison	NOUN
ejpam-4780	161	2	of	of	ADP
ejpam-4780	161	3	gams	gams	PROPN
ejpam-4780	161	4	,	,	PUNCT
ejpam-4780	161	5	abc	abc	PROPN
ejpam-4780	161	6	,	,	PUNCT
ejpam-4780	161	7	and	and	CCONJ
ejpam-4780	161	8	mabc	mabc	NOUN
ejpam-4780	161	9	in	in	ADP
ejpam-4780	161	10	terms	term	NOUN
ejpam-4780	161	11	of	of	ADP
ejpam-4780	161	12	ε∗	ε∗	PROPN
ejpam-4780	161	13	shows	show	NOUN
ejpam-4780	161	14	in	in	ADP
ejpam-4780	161	15	figure	figure	NOUN
ejpam-4780	161	16	2	2	NUM
ejpam-4780	161	17	.	.	PUNCT
ejpam-4780	162	1	s.	s.	PROPN
ejpam-4780	162	2	zeidani	zeidani	PROPN
ejpam-4780	162	3	et	et	PROPN
ejpam-4780	162	4	al	al	PROPN
ejpam-4780	162	5	.	.	PUNCT
ejpam-4780	162	6	/	/	SYM
ejpam-4780	162	7	eur	eur	PROPN
ejpam-4780	162	8	.	.	PUNCT
ejpam-4780	163	1	j.	j.	PROPN
ejpam-4780	163	2	pure	pure	PROPN
ejpam-4780	163	3	appl	appl	PROPN
ejpam-4780	163	4	.	.	PROPN
ejpam-4780	163	5	math	math	PROPN
ejpam-4780	163	6	,	,	PUNCT
ejpam-4780	163	7	16	16	NUM
ejpam-4780	163	8	(	(	PUNCT
ejpam-4780	163	9	3	3	NUM
ejpam-4780	163	10	)	)	PUNCT
ejpam-4780	163	11	(	(	PUNCT
ejpam-4780	163	12	2023	2023	NUM
ejpam-4780	163	13	)	)	PUNCT
ejpam-4780	163	14	,	,	PUNCT
ejpam-4780	163	15	1608	1608	NUM
ejpam-4780	163	16	-	-	SYM
ejpam-4780	163	17	1623	1623	NUM
ejpam-4780	163	18	1617	1617	NUM
ejpam-4780	163	19	table	table	NOUN
ejpam-4780	163	20	11	11	NUM
ejpam-4780	163	21	:	:	PUNCT
ejpam-4780	163	22	the	the	DET
ejpam-4780	163	23	data	datum	NOUN
ejpam-4780	163	24	set	set	VERB
ejpam-4780	163	25	of	of	ADP
ejpam-4780	163	26	second	second	ADJ
ejpam-4780	163	27	numerical	numerical	ADJ
ejpam-4780	163	28	example	example	NOUN
ejpam-4780	163	29	.	.	PUNCT
ejpam-4780	164	1	dmu	dmu	PROPN
ejpam-4780	164	2	i1	i1	PROPN
ejpam-4780	164	3	i2	i2	PROPN
ejpam-4780	164	4	o1	o1	PROPN
ejpam-4780	164	5	o2	o2	PROPN
ejpam-4780	164	6	1	1	NUM
ejpam-4780	164	7	3	3	NUM
ejpam-4780	164	8	4	4	NUM
ejpam-4780	164	9	2	2	NUM
ejpam-4780	164	10	3	3	NUM
ejpam-4780	164	11	2	2	NUM
ejpam-4780	164	12	2	2	NUM
ejpam-4780	164	13	1	1	NUM
ejpam-4780	164	14	3	3	NUM
ejpam-4780	164	15	5	5	NUM
ejpam-4780	164	16	3	3	NUM
ejpam-4780	164	17	1	1	NUM
ejpam-4780	164	18	1	1	NUM
ejpam-4780	164	19	4	4	NUM
ejpam-4780	164	20	6	6	NUM
ejpam-4780	164	21	4	4	NUM
ejpam-4780	164	22	5	5	NUM
ejpam-4780	164	23	1	1	NUM
ejpam-4780	164	24	7	7	NUM
ejpam-4780	164	25	6	6	NUM
ejpam-4780	164	26	5	5	NUM
ejpam-4780	164	27	10	10	NUM
ejpam-4780	164	28	1	1	NUM
ejpam-4780	164	29	1	1	NUM
ejpam-4780	164	30	8	8	NUM
ejpam-4780	164	31	6	6	NUM
ejpam-4780	164	32	2	2	NUM
ejpam-4780	164	33	3	3	NUM
ejpam-4780	164	34	3	3	NUM
ejpam-4780	164	35	4	4	NUM
ejpam-4780	164	36	7	7	NUM
ejpam-4780	164	37	3	3	NUM
ejpam-4780	164	38	4	4	NUM
ejpam-4780	164	39	8	8	NUM
ejpam-4780	164	40	5	5	NUM
ejpam-4780	164	41	8	8	NUM
ejpam-4780	164	42	2	2	NUM
ejpam-4780	164	43	6	6	NUM
ejpam-4780	164	44	2	2	NUM
ejpam-4780	164	45	4	4	NUM
ejpam-4780	164	46	9	9	NUM
ejpam-4780	164	47	0.5	0.5	NUM
ejpam-4780	164	48	0.5	0.5	NUM
ejpam-4780	164	49	1	1	NUM
ejpam-4780	164	50	1	1	NUM
ejpam-4780	164	51	table	table	NOUN
ejpam-4780	164	52	12	12	NUM
ejpam-4780	164	53	:	:	PUNCT
ejpam-4780	164	54	the	the	DET
ejpam-4780	164	55	results	result	NOUN
ejpam-4780	164	56	of	of	ADP
ejpam-4780	164	57	a	a	DET
ejpam-4780	164	58	multiplier	multipli	ADJ
ejpam-4780	164	59	ccr	ccr	PROPN
ejpam-4780	164	60	model	model	NOUN
ejpam-4780	164	61	(	(	PUNCT
ejpam-4780	164	62	2	2	NUM
ejpam-4780	164	63	)	)	PUNCT
ejpam-4780	164	64	by	by	ADP
ejpam-4780	164	65	using	use	VERB
ejpam-4780	164	66	gams	gams	PROPN
ejpam-4780	164	67	software	software	NOUN
ejpam-4780	164	68	.	.	PUNCT
ejpam-4780	165	1	dmu	dmu	PROPN
ejpam-4780	165	2	efficiency	efficiency	NOUN
ejpam-4780	165	3	v1	v1	PROPN
ejpam-4780	165	4	v2	v2	NOUN
ejpam-4780	165	5	u1	u1	NOUN
ejpam-4780	165	6	u2	u2	NOUN
ejpam-4780	165	7	1	1	NUM
ejpam-4780	165	8	0.16667	0.16667	NUM
ejpam-4780	165	9	0.33333	0.33333	NUM
ejpam-4780	165	10	0.00000	0.00000	NUM
ejpam-4780	165	11	0.00000	0.00000	NUM
ejpam-4780	165	12	0.05556	0.05556	NUM
ejpam-4780	165	13	2	2	NUM
ejpam-4780	165	14	0.80515	0.80515	NUM
ejpam-4780	165	15	0.02206	0.02206	NUM
ejpam-4780	165	16	0.95588	0.95588	NUM
ejpam-4780	166	1	0.02941	0.02941	NUM
ejpam-4780	166	2	0.14338	0.14338	NUM
ejpam-4780	166	3	3	3	NUM
ejpam-4780	166	4	1.00000	1.00000	NUM
ejpam-4780	166	5	1.00000	1.00000	NUM
ejpam-4780	166	6	0.00000	0.00000	NUM
ejpam-4780	166	7	0.00000	0.00000	NUM
ejpam-4780	166	8	0.16667	0.16667	NUM
ejpam-4780	166	9	4	4	NUM
ejpam-4780	166	10	1.00000	1.00000	NUM
ejpam-4780	166	11	0.10714	0.10714	NUM
ejpam-4780	166	12	0.46429	0.46429	NUM
ejpam-4780	166	13	0.14286	0.14286	NUM
ejpam-4780	166	14	0.00000	0.00000	NUM
ejpam-4780	166	15	5	5	NUM
ejpam-4780	166	16	1.00000	1.00000	NUM
ejpam-4780	166	17	0.00000	0.00000	NUM
ejpam-4780	166	18	1.00000	1.00000	NUM
ejpam-4780	166	19	0.04000	0.04000	NUM
ejpam-4780	166	20	0.12000	0.12000	NUM
ejpam-4780	166	21	6	6	NUM
ejpam-4780	166	22	0.37500	0.37500	NUM
ejpam-4780	166	23	0.50000	0.50000	NUM
ejpam-4780	166	24	0.00000	0.00000	NUM
ejpam-4780	166	25	0.12500	0.12500	NUM
ejpam-4780	166	26	0.00000	0.00000	NUM
ejpam-4780	166	27	7	7	NUM
ejpam-4780	166	28	0.66667	0.66667	NUM
ejpam-4780	166	29	0.33333	0.33333	NUM
ejpam-4780	166	30	0.00000	0.00000	NUM
ejpam-4780	166	31	0.08333	0.08333	NUM
ejpam-4780	166	32	0.00000	0.00000	NUM
ejpam-4780	166	33	8	8	NUM
ejpam-4780	166	34	0.33333	0.33333	NUM
ejpam-4780	166	35	0.50000	0.50000	NUM
ejpam-4780	166	36	0.00000	0.00000	NUM
ejpam-4780	166	37	0.00000	0.00000	NUM
ejpam-4780	166	38	0.08333	0.08333	NUM
ejpam-4780	166	39	9	9	NUM
ejpam-4780	166	40	0.50000	0.50000	NUM
ejpam-4780	166	41	2.00000	2.00000	NUM
ejpam-4780	166	42	0.00000	0.00000	NUM
ejpam-4780	166	43	0.50000	0.50000	NUM
ejpam-4780	166	44	0.00000	0.00000	NUM
ejpam-4780	166	45	table	table	NOUN
ejpam-4780	166	46	13	13	NUM
ejpam-4780	166	47	:	:	PUNCT
ejpam-4780	166	48	the	the	DET
ejpam-4780	166	49	results	result	NOUN
ejpam-4780	166	50	of	of	ADP
ejpam-4780	166	51	the	the	DET
ejpam-4780	166	52	ccr	ccr	PROPN
ejpam-4780	166	53	models	model	NOUN
ejpam-4780	166	54	3	3	NUM
ejpam-4780	166	55	and	and	CCONJ
ejpam-4780	166	56	4	4	NUM
ejpam-4780	166	57	by	by	ADP
ejpam-4780	166	58	using	use	VERB
ejpam-4780	166	59	gams	gams	PROPN
ejpam-4780	166	60	software	software	NOUN
ejpam-4780	166	61	(	(	PUNCT
ejpam-4780	166	62	ε∗	ε∗	PROPN
ejpam-4780	166	63	=	=	PUNCT
ejpam-4780	166	64	0.02241	0.02241	NUM
ejpam-4780	166	65	)	)	PUNCT
ejpam-4780	166	66	.	.	PUNCT
ejpam-4780	167	1	dmu	dmu	PROPN
ejpam-4780	167	2	efficiency	efficiency	NOUN
ejpam-4780	167	3	v1	v1	PROPN
ejpam-4780	167	4	v2	v2	NOUN
ejpam-4780	167	5	u1	u1	NOUN
ejpam-4780	167	6	u2	u2	NOUN
ejpam-4780	167	7	1	1	NUM
ejpam-4780	167	8	0.16293	0.16293	NUM
ejpam-4780	167	9	0.30345	0.30345	NUM
ejpam-4780	167	10	0.02241	0.02241	NUM
ejpam-4780	167	11	0.02241	0.02241	NUM
ejpam-4780	167	12	0.03937	0.03937	NUM
ejpam-4780	167	13	2	2	NUM
ejpam-4780	167	14	0.80511	0.80511	NUM
ejpam-4780	167	15	0.02241	0.02241	NUM
ejpam-4780	168	1	0.95517	0.95517	NUM
ejpam-4780	168	2	0.02865	0.02865	NUM
ejpam-4780	168	3	0.14383	0.14383	NUM
ejpam-4780	168	4	3	3	NUM
ejpam-4780	168	5	1.00000	1.00000	NUM
ejpam-4780	168	6	0.97759	0.97759	NUM
ejpam-4780	168	7	0.02241	0.02241	NUM
ejpam-4780	168	8	0.02241	0.02241	NUM
ejpam-4780	168	9	0.15172	0.15172	NUM
ejpam-4780	168	10	4	4	NUM
ejpam-4780	168	11	1.00000	1.00000	NUM
ejpam-4780	168	12	0.02241	0.02241	NUM
ejpam-4780	168	13	0.88793	0.88793	NUM
ejpam-4780	168	14	0.12365	0.12365	NUM
ejpam-4780	168	15	0.02241	0.02241	NUM
ejpam-4780	168	16	5	5	NUM
ejpam-4780	168	17	0.96724	0.96724	NUM
ejpam-4780	168	18	0.02241	0.02241	NUM
ejpam-4780	168	19	0.77586	0.77586	NUM
ejpam-4780	168	20	0.02241	0.02241	NUM
ejpam-4780	168	21	0.11810	0.11810	NUM
ejpam-4780	168	22	6	6	NUM
ejpam-4780	168	23	0.35539	0.35539	NUM
ejpam-4780	168	24	0.46638	0.46638	NUM
ejpam-4780	168	25	0.02241	0.02241	NUM
ejpam-4780	168	26	0.08858	0.08858	NUM
ejpam-4780	168	27	0.02241	0.02241	NUM
ejpam-4780	168	28	7	7	NUM
ejpam-4780	168	29	0.49483	0.49483	NUM
ejpam-4780	168	30	0.30345	0.30345	NUM
ejpam-4780	168	31	0.02241	0.02241	NUM
ejpam-4780	168	32	0.04784	0.04784	NUM
ejpam-4780	168	33	0.02241	0.02241	NUM
ejpam-4780	168	34	8	8	NUM
ejpam-4780	168	35	0.28851	0.28851	NUM
ejpam-4780	168	36	0.43276	0.43276	NUM
ejpam-4780	168	37	0.02241	0.02241	NUM
ejpam-4780	168	38	0.02241	0.02241	NUM
ejpam-4780	168	39	0.06092	0.06092	NUM
ejpam-4780	168	40	9	9	NUM
ejpam-4780	168	41	0.48879	0.48879	NUM
ejpam-4780	168	42	1.97759	1.97759	NUM
ejpam-4780	168	43	0.02241	0.02241	NUM
ejpam-4780	168	44	0.46638	0.46638	NUM
ejpam-4780	168	45	0.02241	0.02241	NUM
ejpam-4780	168	46	s.	s.	PROPN
ejpam-4780	168	47	zeidani	zeidani	PROPN
ejpam-4780	168	48	et	et	PROPN
ejpam-4780	168	49	al	al	PROPN
ejpam-4780	168	50	.	.	PUNCT
ejpam-4780	168	51	/	/	SYM
ejpam-4780	168	52	eur	eur	PROPN
ejpam-4780	168	53	.	.	PUNCT
ejpam-4780	169	1	j.	j.	PROPN
ejpam-4780	169	2	pure	pure	PROPN
ejpam-4780	169	3	appl	appl	PROPN
ejpam-4780	169	4	.	.	PROPN
ejpam-4780	169	5	math	math	PROPN
ejpam-4780	169	6	,	,	PUNCT
ejpam-4780	169	7	16	16	NUM
ejpam-4780	169	8	(	(	PUNCT
ejpam-4780	169	9	3	3	NUM
ejpam-4780	169	10	)	)	PUNCT
ejpam-4780	169	11	(	(	PUNCT
ejpam-4780	169	12	2023	2023	NUM
ejpam-4780	169	13	)	)	PUNCT
ejpam-4780	169	14	,	,	PUNCT
ejpam-4780	169	15	1608	1608	NUM
ejpam-4780	169	16	-	-	SYM
ejpam-4780	169	17	1623	1623	NUM
ejpam-4780	169	18	1618	1618	NUM
ejpam-4780	169	19	table	table	NOUN
ejpam-4780	169	20	14	14	NUM
ejpam-4780	169	21	:	:	PUNCT
ejpam-4780	169	22	the	the	DET
ejpam-4780	169	23	results	result	NOUN
ejpam-4780	169	24	of	of	ADP
ejpam-4780	169	25	the	the	DET
ejpam-4780	169	26	basic	basic	ADJ
ejpam-4780	169	27	abc	abc	PROPN
ejpam-4780	169	28	algorithm	algorithm	NOUN
ejpam-4780	169	29	on	on	ADP
ejpam-4780	169	30	ccr	ccr	PROPN
ejpam-4780	169	31	model	model	PROPN
ejpam-4780	169	32	(	(	PUNCT
ejpam-4780	169	33	2	2	NUM
ejpam-4780	169	34	)	)	PUNCT
ejpam-4780	169	35	.	.	PUNCT
ejpam-4780	170	1	dmu	dmu	PROPN
ejpam-4780	170	2	z∗	z∗	PROPN
ejpam-4780	170	3	v1	v1	PROPN
ejpam-4780	170	4	v2	v2	PROPN
ejpam-4780	170	5	u1	u1	NOUN
ejpam-4780	170	6	u2	u2	PROPN
ejpam-4780	170	7	|z	|z	PROPN
ejpam-4780	171	1	−	−	PROPN
ejpam-4780	171	2	z∗|	z∗|	NOUN
ejpam-4780	171	3	1	1	NUM
ejpam-4780	171	4	0.16718	0.16718	NUM
ejpam-4780	171	5	0.30255	0.30255	NUM
ejpam-4780	171	6	0.02409	0.02409	NUM
ejpam-4780	171	7	0.02408	0.02408	NUM
ejpam-4780	171	8	0.03967	0.03967	NUM
ejpam-4780	171	9	0.00425	0.00425	NUM
ejpam-4780	171	10	2	2	NUM
ejpam-4780	171	11	0.80912	0.80912	NUM
ejpam-4780	171	12	0.02473	0.02473	NUM
ejpam-4780	171	13	0.95314	0.95314	NUM
ejpam-4780	171	14	0.03081	0.03081	NUM
ejpam-4780	171	15	0.14334	0.14334	NUM
ejpam-4780	171	16	0.00401	0.00401	NUM
ejpam-4780	171	17	3	3	NUM
ejpam-4780	171	18	1.00466	1.00466	NUM
ejpam-4780	171	19	0.97999	0.97999	NUM
ejpam-4780	171	20	0.02401	0.02401	NUM
ejpam-4780	171	21	0.02405	0.02405	NUM
ejpam-4780	171	22	0.15141	0.15141	NUM
ejpam-4780	171	23	0.00466	0.00466	NUM
ejpam-4780	171	24	4	4	NUM
ejpam-4780	171	25	1.00285	1.00285	NUM
ejpam-4780	171	26	0.02355	0.02355	NUM
ejpam-4780	171	27	0.88510	0.88510	NUM
ejpam-4780	171	28	0.12309	0.12309	NUM
ejpam-4780	171	29	0.02354	0.02354	NUM
ejpam-4780	171	30	0.00285	0.00285	NUM
ejpam-4780	171	31	5	5	NUM
ejpam-4780	171	32	0.97375	0.97375	NUM
ejpam-4780	171	33	0.02473	0.02473	NUM
ejpam-4780	171	34	0.75770	0.75770	NUM
ejpam-4780	171	35	0.02472	0.02472	NUM
ejpam-4780	171	36	0.11860	0.11860	NUM
ejpam-4780	171	37	0.00651	0.00651	NUM
ejpam-4780	171	38	6	6	NUM
ejpam-4780	171	39	0.35900	0.35900	NUM
ejpam-4780	171	40	0.46565	0.46565	NUM
ejpam-4780	171	41	0.02390	0.02390	NUM
ejpam-4780	171	42	0.08784	0.08784	NUM
ejpam-4780	171	43	0.02387	0.02387	NUM
ejpam-4780	171	44	0.00361	0.00361	NUM
ejpam-4780	171	45	7	7	NUM
ejpam-4780	171	46	0.49838	0.49838	NUM
ejpam-4780	171	47	0.30232	0.30232	NUM
ejpam-4780	171	48	0.02401	0.02401	NUM
ejpam-4780	171	49	0.04732	0.04732	NUM
ejpam-4780	171	50	0.02396	0.02396	NUM
ejpam-4780	171	51	0.00355	0.00355	NUM
ejpam-4780	171	52	8	8	NUM
ejpam-4780	171	53	0.29195	0.29195	NUM
ejpam-4780	171	54	0.43102	0.43102	NUM
ejpam-4780	171	55	0.02351	0.02351	NUM
ejpam-4780	171	56	0.02348	0.02348	NUM
ejpam-4780	171	57	0.06125	0.06125	NUM
ejpam-4780	171	58	0.00344	0.00344	NUM
ejpam-4780	171	59	9	9	NUM
ejpam-4780	171	60	0.49280	0.49280	NUM
ejpam-4780	171	61	1.98319	1.98319	NUM
ejpam-4780	171	62	0.02441	0.02441	NUM
ejpam-4780	171	63	0.46840	0.46840	NUM
ejpam-4780	171	64	0.02440	0.02440	NUM
ejpam-4780	171	65	0.00401	0.00401	NUM
ejpam-4780	171	66	table	table	NOUN
ejpam-4780	171	67	15	15	NUM
ejpam-4780	171	68	:	:	PUNCT
ejpam-4780	171	69	the	the	DET
ejpam-4780	171	70	results	result	NOUN
ejpam-4780	171	71	of	of	ADP
ejpam-4780	171	72	mabc	mabc	ADJ
ejpam-4780	171	73	algorithm	algorithm	NOUN
ejpam-4780	171	74	on	on	ADP
ejpam-4780	171	75	ccr	ccr	PROPN
ejpam-4780	171	76	model	model	PROPN
ejpam-4780	171	77	(	(	PUNCT
ejpam-4780	171	78	2	2	NUM
ejpam-4780	171	79	)	)	PUNCT
ejpam-4780	171	80	for	for	ADP
ejpam-4780	171	81	ratio	ratio	NOUN
ejpam-4780	171	82	4:1	4:1	NUM
ejpam-4780	171	83	(	(	PUNCT
ejpam-4780	171	84	employed	employ	VERB
ejpam-4780	171	85	/	/	SYM
ejpam-4780	171	86	onlooker	onlooker	NOUN
ejpam-4780	171	87	)	)	PUNCT
ejpam-4780	171	88	)	)	PUNCT
ejpam-4780	171	89	.	.	PUNCT
ejpam-4780	172	1	dmu	dmu	PROPN
ejpam-4780	172	2	z∗	z∗	PROPN
ejpam-4780	172	3	v1	v1	PROPN
ejpam-4780	172	4	v2	v2	PROPN
ejpam-4780	172	5	u1	u1	NOUN
ejpam-4780	172	6	u2	u2	PROPN
ejpam-4780	172	7	|z	|z	PROPN
ejpam-4780	173	1	−	−	PROPN
ejpam-4780	173	2	z∗|	z∗|	NOUN
ejpam-4780	173	3	1	1	NUM
ejpam-4780	173	4	0.16696	0.16696	NUM
ejpam-4780	173	5	0.30277	0.30277	NUM
ejpam-4780	173	6	0.02380	0.02380	NUM
ejpam-4780	173	7	0.02382	0.02382	NUM
ejpam-4780	173	8	0.03977	0.03977	NUM
ejpam-4780	173	9	0.00403	0.00403	NUM
ejpam-4780	173	10	2	2	NUM
ejpam-4780	173	11	0.80886	0.80886	NUM
ejpam-4780	173	12	0.02433	0.02433	NUM
ejpam-4780	173	13	0.95344	0.95344	NUM
ejpam-4780	173	14	0.03057	0.03057	NUM
ejpam-4780	173	15	0.14343	0.14343	NUM
ejpam-4780	173	16	0.00375	0.00375	NUM
ejpam-4780	173	17	3	3	NUM
ejpam-4780	173	18	1.00446	1.00446	NUM
ejpam-4780	173	19	0.97970	0.97970	NUM
ejpam-4780	173	20	0.02380	0.02380	NUM
ejpam-4780	173	21	0.02381	0.02381	NUM
ejpam-4780	173	22	0.15154	0.15154	NUM
ejpam-4780	173	23	0.00446	0.00446	NUM
ejpam-4780	173	24	4	4	NUM
ejpam-4780	173	25	1.00261	1.00261	NUM
ejpam-4780	173	26	0.02324	0.02324	NUM
ejpam-4780	173	27	0.88630	0.88630	NUM
ejpam-4780	173	28	0.12333	0.12333	NUM
ejpam-4780	173	29	0.02322	0.02322	NUM
ejpam-4780	173	30	0.00261	0.00261	NUM
ejpam-4780	173	31	5	5	NUM
ejpam-4780	173	32	0.97336	0.97336	NUM
ejpam-4780	173	33	0.02422	0.02422	NUM
ejpam-4780	173	34	0.76240	0.76240	NUM
ejpam-4780	173	35	0.02422	0.02422	NUM
ejpam-4780	173	36	0.11864	0.11864	NUM
ejpam-4780	173	37	0.00612	0.00612	NUM
ejpam-4780	173	38	6	6	NUM
ejpam-4780	173	39	0.35851	0.35851	NUM
ejpam-4780	173	40	0.46583	0.46583	NUM
ejpam-4780	173	41	0.02361	0.02361	NUM
ejpam-4780	173	42	0.08802	0.08802	NUM
ejpam-4780	173	43	0.02361	0.02361	NUM
ejpam-4780	173	44	0.00312	0.00312	NUM
ejpam-4780	173	45	7	7	NUM
ejpam-4780	173	46	0.49790	0.49790	NUM
ejpam-4780	173	47	0.30241	0.30241	NUM
ejpam-4780	173	48	0.02382	0.02382	NUM
ejpam-4780	173	49	0.04736	0.04736	NUM
ejpam-4780	173	50	0.02380	0.02380	NUM
ejpam-4780	173	51	0.00307	0.00307	NUM
ejpam-4780	173	52	8	8	NUM
ejpam-4780	173	53	0.29172	0.29172	NUM
ejpam-4780	173	54	0.43188	0.43188	NUM
ejpam-4780	173	55	0.02314	0.02314	NUM
ejpam-4780	173	56	0.02309	0.02309	NUM
ejpam-4780	173	57	0.06138	0.06138	NUM
ejpam-4780	173	58	0.00321	0.00321	NUM
ejpam-4780	173	59	9	9	NUM
ejpam-4780	173	60	0.49265	0.49265	NUM
ejpam-4780	173	61	1.98331	1.98331	NUM
ejpam-4780	173	62	0.02409	0.02409	NUM
ejpam-4780	173	63	0.46858	0.46858	NUM
ejpam-4780	173	64	0.02407	0.02407	NUM
ejpam-4780	173	65	0.00386	0.00386	NUM
ejpam-4780	173	66	table	table	NOUN
ejpam-4780	173	67	16	16	NUM
ejpam-4780	173	68	:	:	PUNCT
ejpam-4780	173	69	the	the	DET
ejpam-4780	173	70	results	result	NOUN
ejpam-4780	173	71	of	of	ADP
ejpam-4780	173	72	mabc	mabc	ADJ
ejpam-4780	173	73	algorithm	algorithm	NOUN
ejpam-4780	173	74	on	on	ADP
ejpam-4780	173	75	ccr	ccr	PROPN
ejpam-4780	173	76	model	model	PROPN
ejpam-4780	173	77	(	(	PUNCT
ejpam-4780	173	78	2	2	NUM
ejpam-4780	173	79	)	)	PUNCT
ejpam-4780	173	80	for	for	ADP
ejpam-4780	173	81	ratio	ratio	NOUN
ejpam-4780	173	82	3:1	3:1	NUM
ejpam-4780	173	83	.	.	PUNCT
ejpam-4780	174	1	dmu	dmu	PROPN
ejpam-4780	174	2	z∗	z∗	PROPN
ejpam-4780	174	3	v1	v1	PROPN
ejpam-4780	174	4	v2	v2	PROPN
ejpam-4780	174	5	u1	u1	NOUN
ejpam-4780	174	6	u2	u2	PROPN
ejpam-4780	174	7	|z	|z	PROPN
ejpam-4780	175	1	−	−	PROPN
ejpam-4780	175	2	z∗|	z∗|	PROPN
ejpam-4780	175	3	1	1	NUM
ejpam-4780	175	4	0.16669	0.16669	NUM
ejpam-4780	175	5	0.30280	0.30280	NUM
ejpam-4780	175	6	0.02365	0.02365	NUM
ejpam-4780	175	7	0.02365	0.02365	NUM
ejpam-4780	175	8	0.03980	0.03980	NUM
ejpam-4780	176	1	0.00376	0.00376	NUM
ejpam-4780	176	2	2	2	NUM
ejpam-4780	176	3	0.80841	0.80841	NUM
ejpam-4780	176	4	0.02390	0.02390	NUM
ejpam-4780	176	5	0.95350	0.95350	NUM
ejpam-4780	177	1	0.03033	0.03033	NUM
ejpam-4780	177	2	0.14348	0.14348	NUM
ejpam-4780	177	3	0.00330	0.00330	NUM
ejpam-4780	177	4	3	3	NUM
ejpam-4780	177	5	1.00415	1.00415	NUM
ejpam-4780	177	6	0.97955	0.97955	NUM
ejpam-4780	177	7	0.02355	0.02355	NUM
ejpam-4780	177	8	0.02355	0.02355	NUM
ejpam-4780	178	1	0.15166	0.15166	NUM
ejpam-4780	178	2	0.00415	0.00415	NUM
ejpam-4780	178	3	4	4	NUM
ejpam-4780	178	4	1.00242	1.00242	NUM
ejpam-4780	179	1	0.02304	0.02304	NUM
ejpam-4780	179	2	0.88680	0.88680	NUM
ejpam-4780	179	3	0.12348	0.12348	NUM
ejpam-4780	179	4	0.02301	0.02301	NUM
ejpam-4780	179	5	0.00242	0.00242	NUM
ejpam-4780	179	6	5	5	NUM
ejpam-4780	179	7	0.97303	0.97303	NUM
ejpam-4780	179	8	0.02397	0.02397	NUM
ejpam-4780	179	9	0.76440	0.76440	NUM
ejpam-4780	179	10	0.02396	0.02396	NUM
ejpam-4780	179	11	0.11867	0.11867	NUM
ejpam-4780	179	12	0.00579	0.00579	NUM
ejpam-4780	179	13	6	6	NUM
ejpam-4780	179	14	0.35835	0.35835	NUM
ejpam-4780	179	15	0.46585	0.46585	NUM
ejpam-4780	179	16	0.02343	0.02343	NUM
ejpam-4780	179	17	0.08820	0.08820	NUM
ejpam-4780	179	18	0.02344	0.02344	NUM
ejpam-4780	179	19	0.00296	0.00296	NUM
ejpam-4780	179	20	7	7	NUM
ejpam-4780	179	21	0.49758	0.49758	NUM
ejpam-4780	179	22	0.30253	0.30253	NUM
ejpam-4780	179	23	0.02363	0.02363	NUM
ejpam-4780	179	24	0.04743	0.04743	NUM
ejpam-4780	179	25	0.02362	0.02362	NUM
ejpam-4780	179	26	0.00275	0.00275	NUM
ejpam-4780	179	27	8	8	NUM
ejpam-4780	179	28	0.29154	0.29154	NUM
ejpam-4780	179	29	0.43215	0.43215	NUM
ejpam-4780	179	30	0.02295	0.02295	NUM
ejpam-4780	179	31	0.02291	0.02291	NUM
ejpam-4780	179	32	0.06143	0.06143	NUM
ejpam-4780	179	33	0.00303	0.00303	NUM
ejpam-4780	179	34	9	9	NUM
ejpam-4780	179	35	0.49249	0.49249	NUM
ejpam-4780	179	36	1.98333	1.98333	NUM
ejpam-4780	179	37	0.02387	0.02387	NUM
ejpam-4780	179	38	0.46863	0.46863	NUM
ejpam-4780	179	39	0.02386	0.02386	NUM
ejpam-4780	179	40	0.00370	0.00370	NUM
ejpam-4780	179	41	s.	s.	PROPN
ejpam-4780	179	42	zeidani	zeidani	PROPN
ejpam-4780	179	43	et	et	PROPN
ejpam-4780	179	44	al	al	PROPN
ejpam-4780	179	45	.	.	PUNCT
ejpam-4780	179	46	/	/	SYM
ejpam-4780	179	47	eur	eur	PROPN
ejpam-4780	179	48	.	.	PUNCT
ejpam-4780	180	1	j.	j.	PROPN
ejpam-4780	180	2	pure	pure	PROPN
ejpam-4780	180	3	appl	appl	PROPN
ejpam-4780	180	4	.	.	PROPN
ejpam-4780	180	5	math	math	PROPN
ejpam-4780	180	6	,	,	PUNCT
ejpam-4780	180	7	16	16	NUM
ejpam-4780	180	8	(	(	PUNCT
ejpam-4780	180	9	3	3	NUM
ejpam-4780	180	10	)	)	PUNCT
ejpam-4780	180	11	(	(	PUNCT
ejpam-4780	180	12	2023	2023	NUM
ejpam-4780	180	13	)	)	PUNCT
ejpam-4780	180	14	,	,	PUNCT
ejpam-4780	180	15	1608	1608	NUM
ejpam-4780	180	16	-	-	SYM
ejpam-4780	180	17	1623	1623	NUM
ejpam-4780	180	18	1619	1619	NUM
ejpam-4780	180	19	table	table	NOUN
ejpam-4780	180	20	17	17	NUM
ejpam-4780	180	21	:	:	PUNCT
ejpam-4780	180	22	the	the	DET
ejpam-4780	180	23	results	result	NOUN
ejpam-4780	180	24	of	of	ADP
ejpam-4780	180	25	mabc	mabc	ADJ
ejpam-4780	180	26	algorithm	algorithm	NOUN
ejpam-4780	180	27	on	on	ADP
ejpam-4780	180	28	ccr	ccr	PROPN
ejpam-4780	180	29	model	model	PROPN
ejpam-4780	180	30	(	(	PUNCT
ejpam-4780	180	31	2	2	NUM
ejpam-4780	180	32	)	)	PUNCT
ejpam-4780	180	33	for	for	ADP
ejpam-4780	180	34	ratio	ratio	NOUN
ejpam-4780	180	35	2:1	2:1	NUM
ejpam-4780	180	36	.	.	PUNCT
ejpam-4780	181	1	dmu	dmu	PROPN
ejpam-4780	181	2	z∗	z∗	PROPN
ejpam-4780	181	3	v1	v1	PROPN
ejpam-4780	181	4	v2	v2	PROPN
ejpam-4780	181	5	u1	u1	NOUN
ejpam-4780	181	6	u2	u2	PROPN
ejpam-4780	181	7	|z	|z	PROPN
ejpam-4780	182	1	−	−	PROPN
ejpam-4780	182	2	z∗|	z∗|	PROPN
ejpam-4780	182	3	1	1	NUM
ejpam-4780	182	4	0.16648	0.16648	NUM
ejpam-4780	182	5	0.30293	0.30293	NUM
ejpam-4780	182	6	0.02343	0.02343	NUM
ejpam-4780	182	7	0.02341	0.02341	NUM
ejpam-4780	182	8	0.03989	0.03989	NUM
ejpam-4780	182	9	0.00355	0.00355	NUM
ejpam-4780	182	10	2	2	NUM
ejpam-4780	182	11	0.80808	0.80808	NUM
ejpam-4780	182	12	0.02356	0.02356	NUM
ejpam-4780	182	13	0.95358	0.95358	NUM
ejpam-4780	182	14	0.03002	0.03002	NUM
ejpam-4780	182	15	0.14360	0.14360	NUM
ejpam-4780	182	16	0.00297	0.00297	NUM
ejpam-4780	182	17	3	3	NUM
ejpam-4780	182	18	1.00391	1.00391	NUM
ejpam-4780	182	19	0.97934	0.97934	NUM
ejpam-4780	182	20	0.02326	0.02326	NUM
ejpam-4780	182	21	0.02328	0.02328	NUM
ejpam-4780	182	22	0.15180	0.15180	NUM
ejpam-4780	182	23	0.00391	0.00391	NUM
ejpam-4780	182	24	4	4	NUM
ejpam-4780	182	25	1.00215	1.00215	NUM
ejpam-4780	182	26	0.02278	0.02278	NUM
ejpam-4780	182	27	0.88772	0.88772	NUM
ejpam-4780	182	28	0.12363	0.12363	NUM
ejpam-4780	182	29	0.02279	0.02279	NUM
ejpam-4780	182	30	0.00215	0.00215	NUM
ejpam-4780	182	31	5	5	NUM
ejpam-4780	182	32	0.97277	0.97277	NUM
ejpam-4780	182	33	0.02371	0.02371	NUM
ejpam-4780	182	34	0.76590	0.76590	NUM
ejpam-4780	182	35	0.02373	0.02373	NUM
ejpam-4780	182	36	0.11868	0.11868	NUM
ejpam-4780	182	37	0.00553	0.00553	NUM
ejpam-4780	182	38	6	6	NUM
ejpam-4780	182	39	0.35810	0.35810	NUM
ejpam-4780	182	40	0.46610	0.46610	NUM
ejpam-4780	182	41	0.02313	0.02313	NUM
ejpam-4780	182	42	0.08854	0.08854	NUM
ejpam-4780	182	43	0.02312	0.02312	NUM
ejpam-4780	182	44	0.00271	0.00271	NUM
ejpam-4780	182	45	7	7	NUM
ejpam-4780	182	46	0.49739	0.49739	NUM
ejpam-4780	182	47	0.30268	0.30268	NUM
ejpam-4780	182	48	0.02344	0.02344	NUM
ejpam-4780	182	49	0.04752	0.04752	NUM
ejpam-4780	182	50	0.02344	0.02344	NUM
ejpam-4780	182	51	0.00256	0.00256	NUM
ejpam-4780	182	52	8	8	NUM
ejpam-4780	182	53	0.29130	0.29130	NUM
ejpam-4780	182	54	0.43256	0.43256	NUM
ejpam-4780	182	55	0.02273	0.02273	NUM
ejpam-4780	182	56	0.02274	0.02274	NUM
ejpam-4780	182	57	0.06146	0.06146	NUM
ejpam-4780	182	58	0.00279	0.00279	NUM
ejpam-4780	182	59	9	9	NUM
ejpam-4780	182	60	0.49232	0.49232	NUM
ejpam-4780	182	61	1.98335	1.98335	NUM
ejpam-4780	182	62	0.02365	0.02365	NUM
ejpam-4780	182	63	0.46867	0.46867	NUM
ejpam-4780	182	64	0.02365	0.02365	NUM
ejpam-4780	182	65	0.00353	0.00353	NUM
ejpam-4780	182	66	table	table	NOUN
ejpam-4780	182	67	18	18	NUM
ejpam-4780	182	68	:	:	PUNCT
ejpam-4780	182	69	the	the	DET
ejpam-4780	182	70	results	result	NOUN
ejpam-4780	182	71	of	of	ADP
ejpam-4780	182	72	mabc	mabc	ADJ
ejpam-4780	182	73	algorithm	algorithm	NOUN
ejpam-4780	182	74	on	on	ADP
ejpam-4780	182	75	ccr	ccr	PROPN
ejpam-4780	182	76	model	model	PROPN
ejpam-4780	182	77	(	(	PUNCT
ejpam-4780	182	78	2	2	NUM
ejpam-4780	182	79	)	)	PUNCT
ejpam-4780	182	80	for	for	ADP
ejpam-4780	182	81	ratio	ratio	NOUN
ejpam-4780	182	82	1:2	1:2	NUM
ejpam-4780	182	83	.	.	PUNCT
ejpam-4780	183	1	dmu	dmu	PROPN
ejpam-4780	183	2	z∗	z∗	PROPN
ejpam-4780	183	3	v1	v1	PROPN
ejpam-4780	183	4	v2	v2	PROPN
ejpam-4780	183	5	u1	u1	NOUN
ejpam-4780	183	6	u2	u2	PROPN
ejpam-4780	183	7	|z	|z	PROPN
ejpam-4780	184	1	−	−	PROPN
ejpam-4780	184	2	z∗|	z∗|	NOUN
ejpam-4780	184	3	1	1	NUM
ejpam-4780	184	4	0.16622	0.16622	NUM
ejpam-4780	184	5	0.30311	0.30311	NUM
ejpam-4780	184	6	0.02317	0.02317	NUM
ejpam-4780	184	7	0.02316	0.02316	NUM
ejpam-4780	184	8	0.03997	0.03997	NUM
ejpam-4780	184	9	0.00329	0.00329	NUM
ejpam-4780	184	10	2	2	NUM
ejpam-4780	184	11	0.80782	0.80782	NUM
ejpam-4780	184	12	0.02320	0.02320	NUM
ejpam-4780	184	13	0.95390	0.95390	NUM
ejpam-4780	184	14	0.02972	0.02972	NUM
ejpam-4780	184	15	0.14373	0.14373	NUM
ejpam-4780	184	16	0.00271	0.00271	NUM
ejpam-4780	184	17	3	3	NUM
ejpam-4780	184	18	1.00375	1.00375	NUM
ejpam-4780	184	19	0.97910	0.97910	NUM
ejpam-4780	184	20	0.02310	0.02310	NUM
ejpam-4780	184	21	0.02309	0.02309	NUM
ejpam-4780	184	22	0.15190	0.15190	NUM
ejpam-4780	184	23	0.00375	0.00375	NUM
ejpam-4780	184	24	4	4	NUM
ejpam-4780	184	25	1.00184	1.00184	NUM
ejpam-4780	184	26	0.02253	0.02253	NUM
ejpam-4780	184	27	0.88856	0.88856	NUM
ejpam-4780	184	28	0.12381	0.12381	NUM
ejpam-4780	184	29	0.02253	0.02253	NUM
ejpam-4780	184	30	0.00184	0.00184	NUM
ejpam-4780	184	31	5	5	NUM
ejpam-4780	184	32	0.97235	0.97235	NUM
ejpam-4780	184	33	0.02345	0.02345	NUM
ejpam-4780	184	34	0.76791	0.76791	NUM
ejpam-4780	184	35	0.02344	0.02344	NUM
ejpam-4780	184	36	0.11868	0.11868	NUM
ejpam-4780	184	37	0.00511	0.00511	NUM
ejpam-4780	184	38	6	6	NUM
ejpam-4780	184	39	0.35784	0.35784	NUM
ejpam-4780	184	40	0.46627	0.46627	NUM
ejpam-4780	184	41	0.02285	0.02285	NUM
ejpam-4780	184	42	0.08881	0.08881	NUM
ejpam-4780	184	43	0.02285	0.02285	NUM
ejpam-4780	184	44	0.00245	0.00245	NUM
ejpam-4780	184	45	7	7	NUM
ejpam-4780	184	46	0.49697	0.49697	NUM
ejpam-4780	184	47	0.30299	0.30299	NUM
ejpam-4780	184	48	0.02313	0.02313	NUM
ejpam-4780	184	49	0.04768	0.04768	NUM
ejpam-4780	184	50	0.02310	0.02310	NUM
ejpam-4780	184	51	0.00214	0.00214	NUM
ejpam-4780	184	52	8	8	NUM
ejpam-4780	184	53	0.29105	0.29105	NUM
ejpam-4780	184	54	0.43276	0.43276	NUM
ejpam-4780	184	55	0.02258	0.02258	NUM
ejpam-4780	184	56	0.02256	0.02256	NUM
ejpam-4780	184	57	0.06148	0.06148	NUM
ejpam-4780	184	58	0.00254	0.00254	NUM
ejpam-4780	184	59	9	9	NUM
ejpam-4780	184	60	0.49220	0.49220	NUM
ejpam-4780	184	61	1.98357	1.98357	NUM
ejpam-4780	184	62	0.02343	0.02343	NUM
ejpam-4780	184	63	0.46880	0.46880	NUM
ejpam-4780	184	64	0.02340	0.02340	NUM
ejpam-4780	184	65	0.00341	0.00341	NUM
ejpam-4780	184	66	table	table	NOUN
ejpam-4780	184	67	19	19	NUM
ejpam-4780	184	68	:	:	PUNCT
ejpam-4780	184	69	the	the	DET
ejpam-4780	184	70	results	result	NOUN
ejpam-4780	184	71	of	of	ADP
ejpam-4780	184	72	mabc	mabc	ADJ
ejpam-4780	184	73	algorithm	algorithm	NOUN
ejpam-4780	184	74	on	on	ADP
ejpam-4780	184	75	ccr	ccr	PROPN
ejpam-4780	184	76	model	model	PROPN
ejpam-4780	184	77	(	(	PUNCT
ejpam-4780	184	78	2	2	NUM
ejpam-4780	184	79	)	)	PUNCT
ejpam-4780	184	80	for	for	ADP
ejpam-4780	184	81	ratio	ratio	NOUN
ejpam-4780	184	82	1:3	1:3	NUM
ejpam-4780	184	83	.	.	PUNCT
ejpam-4780	185	1	dmu	dmu	PROPN
ejpam-4780	185	2	z∗	z∗	PROPN
ejpam-4780	185	3	v1	v1	PROPN
ejpam-4780	185	4	v2	v2	PROPN
ejpam-4780	185	5	u1	u1	NOUN
ejpam-4780	185	6	u2	u2	PROPN
ejpam-4780	185	7	|z	|z	PROPN
ejpam-4780	186	1	−	−	PROPN
ejpam-4780	186	2	z∗|	z∗|	NOUN
ejpam-4780	186	3	1	1	NUM
ejpam-4780	186	4	0.16594	0.16594	NUM
ejpam-4780	186	5	0.30331	0.30331	NUM
ejpam-4780	186	6	0.02292	0.02292	NUM
ejpam-4780	186	7	0.02290	0.02290	NUM
ejpam-4780	186	8	0.04005	0.04005	NUM
ejpam-4780	186	9	0.00301	0.00301	NUM
ejpam-4780	186	10	2	2	NUM
ejpam-4780	186	11	0.80764	0.80764	NUM
ejpam-4780	186	12	0.02295	0.02295	NUM
ejpam-4780	186	13	0.95430	0.95430	NUM
ejpam-4780	186	14	0.02926	0.02926	NUM
ejpam-4780	186	15	0.14397	0.14397	NUM
ejpam-4780	186	16	0.00253	0.00253	NUM
ejpam-4780	186	17	3	3	NUM
ejpam-4780	186	18	1.00354	1.00354	NUM
ejpam-4780	186	19	0.97901	0.97901	NUM
ejpam-4780	186	20	0.02279	0.02279	NUM
ejpam-4780	186	21	0.02278	0.02278	NUM
ejpam-4780	186	22	0.15207	0.15207	NUM
ejpam-4780	186	23	0.00354	0.00354	NUM
ejpam-4780	186	24	4	4	NUM
ejpam-4780	186	25	1.00153	1.00153	NUM
ejpam-4780	186	26	0.02230	0.02230	NUM
ejpam-4780	186	27	0.88931	0.88931	NUM
ejpam-4780	186	28	0.12396	0.12396	NUM
ejpam-4780	186	29	0.02230	0.02230	NUM
ejpam-4780	186	30	0.00153	0.00153	NUM
ejpam-4780	186	31	5	5	NUM
ejpam-4780	186	32	0.97209	0.97209	NUM
ejpam-4780	186	33	0.02315	0.02315	NUM
ejpam-4780	186	34	0.77050	0.77050	NUM
ejpam-4780	186	35	0.02315	0.02315	NUM
ejpam-4780	186	36	0.11870	0.11870	NUM
ejpam-4780	186	37	0.00485	0.00485	NUM
ejpam-4780	186	38	6	6	NUM
ejpam-4780	186	39	0.35752	0.35752	NUM
ejpam-4780	186	40	0.46648	0.46648	NUM
ejpam-4780	186	41	0.02258	0.02258	NUM
ejpam-4780	186	42	0.08909	0.08909	NUM
ejpam-4780	186	43	0.02256	0.02256	NUM
ejpam-4780	186	44	0.00213	0.00213	NUM
ejpam-4780	186	45	7	7	NUM
ejpam-4780	186	46	0.49676	0.49676	NUM
ejpam-4780	186	47	0.30320	0.30320	NUM
ejpam-4780	186	48	0.02285	0.02285	NUM
ejpam-4780	186	49	0.04781	0.04781	NUM
ejpam-4780	186	50	0.02285	0.02285	NUM
ejpam-4780	186	51	0.00193	0.00193	NUM
ejpam-4780	186	52	8	8	NUM
ejpam-4780	186	53	0.29091	0.29091	NUM
ejpam-4780	186	54	0.43295	0.43295	NUM
ejpam-4780	186	55	0.02245	0.02245	NUM
ejpam-4780	186	56	0.02245	0.02245	NUM
ejpam-4780	186	57	0.06151	0.06151	NUM
ejpam-4780	186	58	0.00240	0.00240	NUM
ejpam-4780	186	59	9	9	NUM
ejpam-4780	186	60	0.49205	0.49205	NUM
ejpam-4780	186	61	1.98372	1.98372	NUM
ejpam-4780	186	62	0.02328	0.02328	NUM
ejpam-4780	186	63	0.46882	0.46882	NUM
ejpam-4780	186	64	0.02323	0.02323	NUM
ejpam-4780	186	65	0.00326	0.00326	NUM
ejpam-4780	186	66	s.	s.	PROPN
ejpam-4780	186	67	zeidani	zeidani	PROPN
ejpam-4780	186	68	et	et	PROPN
ejpam-4780	186	69	al	al	PROPN
ejpam-4780	186	70	.	.	PUNCT
ejpam-4780	186	71	/	/	SYM
ejpam-4780	186	72	eur	eur	PROPN
ejpam-4780	186	73	.	.	PUNCT
ejpam-4780	187	1	j.	j.	PROPN
ejpam-4780	187	2	pure	pure	PROPN
ejpam-4780	187	3	appl	appl	PROPN
ejpam-4780	187	4	.	.	PROPN
ejpam-4780	187	5	math	math	PROPN
ejpam-4780	187	6	,	,	PUNCT
ejpam-4780	187	7	16	16	NUM
ejpam-4780	187	8	(	(	PUNCT
ejpam-4780	187	9	3	3	NUM
ejpam-4780	187	10	)	)	PUNCT
ejpam-4780	187	11	(	(	PUNCT
ejpam-4780	187	12	2023	2023	NUM
ejpam-4780	187	13	)	)	PUNCT
ejpam-4780	187	14	,	,	PUNCT
ejpam-4780	187	15	1608	1608	NUM
ejpam-4780	187	16	-	-	SYM
ejpam-4780	187	17	1623	1623	NUM
ejpam-4780	187	18	1620	1620	NUM
ejpam-4780	187	19	table	table	NOUN
ejpam-4780	187	20	20	20	NUM
ejpam-4780	187	21	:	:	PUNCT
ejpam-4780	187	22	the	the	DET
ejpam-4780	187	23	results	result	NOUN
ejpam-4780	187	24	of	of	ADP
ejpam-4780	187	25	mabc	mabc	ADJ
ejpam-4780	187	26	algorithm	algorithm	NOUN
ejpam-4780	187	27	on	on	ADP
ejpam-4780	187	28	ccr	ccr	PROPN
ejpam-4780	187	29	model	model	PROPN
ejpam-4780	187	30	(	(	PUNCT
ejpam-4780	187	31	2	2	NUM
ejpam-4780	187	32	)	)	PUNCT
ejpam-4780	187	33	for	for	ADP
ejpam-4780	187	34	ratio	ratio	NOUN
ejpam-4780	187	35	1:4	1:4	NUM
ejpam-4780	187	36	.	.	PUNCT
ejpam-4780	188	1	dmu	dmu	PROPN
ejpam-4780	188	2	z∗	z∗	PROPN
ejpam-4780	188	3	v1	v1	PROPN
ejpam-4780	188	4	v2	v2	PROPN
ejpam-4780	188	5	u1	u1	NOUN
ejpam-4780	188	6	u2	u2	PROPN
ejpam-4780	188	7	|z	|z	PROPN
ejpam-4780	189	1	−	−	PROPN
ejpam-4780	189	2	z∗|	z∗|	NOUN
ejpam-4780	189	3	1	1	NUM
ejpam-4780	189	4	0.16573	0.16573	NUM
ejpam-4780	189	5	0.30338	0.30338	NUM
ejpam-4780	189	6	0.02274	0.02274	NUM
ejpam-4780	189	7	0.02274	0.02274	NUM
ejpam-4780	189	8	0.04008	0.04008	NUM
ejpam-4780	189	9	0.00280	0.00280	NUM
ejpam-4780	189	10	2	2	NUM
ejpam-4780	189	11	0.80749	0.80749	NUM
ejpam-4780	189	12	0.02274	0.02274	NUM
ejpam-4780	189	13	0.95453	0.95453	NUM
ejpam-4780	189	14	0.02898	0.02898	NUM
ejpam-4780	189	15	0.14411	0.14411	NUM
ejpam-4780	190	1	0.00238	0.00238	NUM
ejpam-4780	190	2	3	3	NUM
ejpam-4780	190	3	1.00337	1.00337	NUM
ejpam-4780	190	4	0.97893	0.97893	NUM
ejpam-4780	190	5	0.02257	0.02257	NUM
ejpam-4780	190	6	0.02257	0.02257	NUM
ejpam-4780	190	7	0.15218	0.15218	NUM
ejpam-4780	190	8	0.00337	0.00337	NUM
ejpam-4780	190	9	4	4	NUM
ejpam-4780	190	10	1.00131	1.00131	NUM
ejpam-4780	190	11	0.02220	0.02220	NUM
ejpam-4780	190	12	0.88955	0.88955	NUM
ejpam-4780	190	13	0.12402	0.12402	NUM
ejpam-4780	190	14	0.02219	0.02219	NUM
ejpam-4780	190	15	0.00131	0.00131	NUM
ejpam-4780	190	16	5	5	NUM
ejpam-4780	190	17	0.97133	0.97133	NUM
ejpam-4780	190	18	0.02290	0.02290	NUM
ejpam-4780	190	19	0.77280	0.77280	NUM
ejpam-4780	190	20	0.02289	0.02289	NUM
ejpam-4780	190	21	0.11874	0.11874	NUM
ejpam-4780	190	22	0.00444	0.00444	NUM
ejpam-4780	190	23	6	6	NUM
ejpam-4780	190	24	0.35720	0.35720	NUM
ejpam-4780	190	25	0.46656	0.46656	NUM
ejpam-4780	190	26	0.02239	0.02239	NUM
ejpam-4780	190	27	0.08923	0.08923	NUM
ejpam-4780	190	28	0.02238	0.02238	NUM
ejpam-4780	190	29	0.00181	0.00181	NUM
ejpam-4780	190	30	7	7	NUM
ejpam-4780	190	31	0.49663	0.49663	NUM
ejpam-4780	190	32	0.30324	0.30324	NUM
ejpam-4780	190	33	0.02272	0.02272	NUM
ejpam-4780	190	34	0.04788	0.04788	NUM
ejpam-4780	190	35	0.02271	0.02271	NUM
ejpam-4780	190	36	0.00180	0.00180	NUM
ejpam-4780	190	37	8	8	NUM
ejpam-4780	190	38	0.29069	0.29069	NUM
ejpam-4780	190	39	0.43317	0.43317	NUM
ejpam-4780	190	40	0.02229	0.02229	NUM
ejpam-4780	191	1	0.02230	0.02230	NUM
ejpam-4780	191	2	0.06153	0.06153	NUM
ejpam-4780	191	3	0.00218	0.00218	NUM
ejpam-4780	191	4	9	9	NUM
ejpam-4780	191	5	0.49179	0.49179	NUM
ejpam-4780	191	6	1.98379	1.98379	NUM
ejpam-4780	191	7	0.02301	0.02301	NUM
ejpam-4780	191	8	0.46885	0.46885	NUM
ejpam-4780	191	9	0.02294	0.02294	NUM
ejpam-4780	191	10	0.00300	0.00300	NUM
ejpam-4780	191	11	figure	figure	NOUN
ejpam-4780	191	12	2	2	NUM
ejpam-4780	191	13	:	:	PUNCT
ejpam-4780	191	14	comparison	comparison	NOUN
ejpam-4780	191	15	of	of	ADP
ejpam-4780	191	16	gams	gams	PROPN
ejpam-4780	191	17	,	,	PUNCT
ejpam-4780	191	18	abc	abc	PROPN
ejpam-4780	191	19	and	and	CCONJ
ejpam-4780	191	20	mabc	mabc	NOUN
ejpam-4780	191	21	in	in	ADP
ejpam-4780	191	22	terms	term	NOUN
ejpam-4780	191	23	of	of	ADP
ejpam-4780	191	24	ε∗.	ε∗.	NOUN
ejpam-4780	191	25	references	reference	NOUN
ejpam-4780	191	26	1621	1621	NUM
ejpam-4780	191	27	we	we	PRON
ejpam-4780	191	28	have	have	VERB
ejpam-4780	191	29	three	three	NUM
ejpam-4780	191	30	efficient	efficient	ADJ
ejpam-4780	191	31	dmus	dmus	NOUN
ejpam-4780	191	32	from	from	ADP
ejpam-4780	191	33	table	table	NOUN
ejpam-4780	191	34	12	12	NUM
ejpam-4780	191	35	,	,	PUNCT
ejpam-4780	191	36	but	but	CCONJ
ejpam-4780	191	37	their	their	PRON
ejpam-4780	191	38	efficiency	efficiency	NOUN
ejpam-4780	191	39	scores	score	NOUN
ejpam-4780	191	40	have	have	AUX
ejpam-4780	191	41	decreased	decrease	VERB
ejpam-4780	191	42	in	in	ADP
ejpam-4780	191	43	table	table	NOUN
ejpam-4780	191	44	13	13	NUM
ejpam-4780	191	45	.	.	PUNCT
ejpam-4780	192	1	now	now	ADV
ejpam-4780	192	2	we	we	PRON
ejpam-4780	192	3	apply	apply	VERB
ejpam-4780	192	4	the	the	DET
ejpam-4780	192	5	modified	modify	VERB
ejpam-4780	192	6	abc	abc	PROPN
ejpam-4780	192	7	algorithm	algorithm	NOUN
ejpam-4780	192	8	for	for	ADP
ejpam-4780	192	9	table	table	NOUN
ejpam-4780	192	10	11	11	NUM
ejpam-4780	192	11	(	(	PUNCT
ejpam-4780	192	12	model	model	NOUN
ejpam-4780	192	13	2	2	NUM
ejpam-4780	192	14	)	)	PUNCT
ejpam-4780	192	15	which	which	PRON
ejpam-4780	192	16	gives	give	VERB
ejpam-4780	192	17	us	we	PRON
ejpam-4780	192	18	ε∗	ε∗	PROPN
ejpam-4780	192	19	=	=	PUNCT
ejpam-4780	192	20	0.02219	0.02219	NUM
ejpam-4780	192	21	for	for	ADP
ejpam-4780	192	22	dmu4	dmu4	PROPN
ejpam-4780	192	23	.	.	PUNCT
ejpam-4780	193	1	as	as	SCONJ
ejpam-4780	193	2	we	we	PRON
ejpam-4780	193	3	expected	expect	VERB
ejpam-4780	193	4	,	,	PUNCT
ejpam-4780	193	5	this	this	DET
ejpam-4780	193	6	value	value	NOUN
ejpam-4780	193	7	is	be	AUX
ejpam-4780	193	8	less	less	ADJ
ejpam-4780	193	9	than	than	ADP
ejpam-4780	193	10	ε∗	ε∗	ADJ
ejpam-4780	193	11	=	=	PUNCT
ejpam-4780	193	12	0.02241	0.02241	NUM
ejpam-4780	193	13	.	.	PUNCT
ejpam-4780	194	1	as	as	SCONJ
ejpam-4780	194	2	we	we	PRON
ejpam-4780	194	3	pointed	point	VERB
ejpam-4780	194	4	out	out	ADP
ejpam-4780	194	5	,	,	PUNCT
ejpam-4780	194	6	better	well	ADJ
ejpam-4780	194	7	results	result	NOUN
ejpam-4780	194	8	are	be	AUX
ejpam-4780	194	9	obtained	obtain	VERB
ejpam-4780	194	10	when	when	SCONJ
ejpam-4780	194	11	the	the	DET
ejpam-4780	194	12	ratio	ratio	NOUN
ejpam-4780	194	13	of	of	ADP
ejpam-4780	194	14	onlooker	onlooker	NOUN
ejpam-4780	194	15	bees	bee	NOUN
ejpam-4780	194	16	is	be	AUX
ejpam-4780	194	17	higher	high	ADJ
ejpam-4780	194	18	.	.	PUNCT
ejpam-4780	195	1	it	it	PRON
ejpam-4780	195	2	can	can	AUX
ejpam-4780	195	3	be	be	AUX
ejpam-4780	195	4	easily	easily	ADV
ejpam-4780	195	5	seen	see	VERB
ejpam-4780	195	6	that	that	SCONJ
ejpam-4780	195	7	in	in	ADP
ejpam-4780	195	8	model	model	NOUN
ejpam-4780	195	9	(	(	PUNCT
ejpam-4780	195	10	2	2	NUM
ejpam-4780	195	11	)	)	PUNCT
ejpam-4780	195	12	,	,	PUNCT
ejpam-4780	195	13	alternative	alternative	ADJ
ejpam-4780	195	14	optimal	optimal	ADJ
ejpam-4780	195	15	solutions	solution	NOUN
ejpam-4780	195	16	exist	exist	VERB
ejpam-4780	195	17	and	and	CCONJ
ejpam-4780	195	18	consequently	consequently	ADV
ejpam-4780	195	19	the	the	DET
ejpam-4780	195	20	best	good	ADJ
ejpam-4780	195	21	dmu	dmu	PROPN
ejpam-4780	195	22	can	can	AUX
ejpam-4780	195	23	not	not	PART
ejpam-4780	195	24	be	be	AUX
ejpam-4780	195	25	determined	determine	VERB
ejpam-4780	195	26	,	,	PUNCT
ejpam-4780	195	27	correctly	correctly	ADV
ejpam-4780	195	28	.	.	PUNCT
ejpam-4780	196	1	on	on	ADP
ejpam-4780	196	2	the	the	DET
ejpam-4780	196	3	other	other	ADJ
ejpam-4780	196	4	hand	hand	NOUN
ejpam-4780	196	5	,	,	PUNCT
ejpam-4780	196	6	as	as	SCONJ
ejpam-4780	196	7	shown	show	VERB
ejpam-4780	196	8	in	in	ADP
ejpam-4780	196	9	table	table	NOUN
ejpam-4780	196	10	12	12	NUM
ejpam-4780	196	11	,	,	PUNCT
ejpam-4780	196	12	for	for	ADP
ejpam-4780	196	13	dmu5	dmu5	NOUN
ejpam-4780	196	14	,	,	PUNCT
ejpam-4780	196	15	the	the	DET
ejpam-4780	196	16	optimal	optimal	ADJ
ejpam-4780	196	17	weight	weight	NOUN
ejpam-4780	196	18	of	of	ADP
ejpam-4780	196	19	the	the	DET
ejpam-4780	196	20	first	first	ADJ
ejpam-4780	196	21	input	input	NOUN
ejpam-4780	196	22	is	be	AUX
ejpam-4780	196	23	equal	equal	ADJ
ejpam-4780	196	24	to	to	ADP
ejpam-4780	196	25	zero	zero	NUM
ejpam-4780	196	26	,	,	PUNCT
ejpam-4780	196	27	hence	hence	ADV
ejpam-4780	196	28	dmu5	dmu5	NOUN
ejpam-4780	196	29	is	be	AUX
ejpam-4780	196	30	efficient	efficient	ADJ
ejpam-4780	196	31	.	.	PUNCT
ejpam-4780	197	1	indeed	indeed	ADV
ejpam-4780	197	2	,	,	PUNCT
ejpam-4780	197	3	in	in	ADP
ejpam-4780	197	4	this	this	DET
ejpam-4780	197	5	stage	stage	NOUN
ejpam-4780	197	6	,	,	PUNCT
ejpam-4780	197	7	this	this	DET
ejpam-4780	197	8	model	model	NOUN
ejpam-4780	197	9	fails	fail	VERB
ejpam-4780	197	10	to	to	PART
ejpam-4780	197	11	find	find	VERB
ejpam-4780	197	12	efficient	efficient	ADJ
ejpam-4780	197	13	dmus	dmus	NOUN
ejpam-4780	197	14	.	.	PUNCT
ejpam-4780	198	1	in	in	ADP
ejpam-4780	198	2	conclusion	conclusion	NOUN
ejpam-4780	198	3	,	,	PUNCT
ejpam-4780	198	4	the	the	DET
ejpam-4780	198	5	efficiency	efficiency	NOUN
ejpam-4780	198	6	of	of	ADP
ejpam-4780	198	7	each	each	DET
ejpam-4780	198	8	dmu	dmu	PROPN
ejpam-4780	198	9	obtains	obtain	VERB
ejpam-4780	198	10	by	by	ADP
ejpam-4780	198	11	solving	solve	VERB
ejpam-4780	198	12	two	two	NUM
ejpam-4780	198	13	lps	lp	NOUN
ejpam-4780	198	14	.	.	PUNCT
ejpam-4780	199	1	similar	similar	ADJ
ejpam-4780	199	2	to	to	ADP
ejpam-4780	199	3	the	the	DET
ejpam-4780	199	4	previous	previous	ADJ
ejpam-4780	199	5	example	example	NOUN
ejpam-4780	199	6	,	,	PUNCT
ejpam-4780	199	7	|z	|z	PROPN
ejpam-4780	199	8	−	−	PROPN
ejpam-4780	199	9	z∗|	z∗|	PROPN
ejpam-4780	199	10	value	value	NOUN
ejpam-4780	199	11	shows	show	VERB
ejpam-4780	199	12	the	the	DET
ejpam-4780	199	13	convergence	convergence	NOUN
ejpam-4780	199	14	rate	rate	NOUN
ejpam-4780	199	15	of	of	ADP
ejpam-4780	199	16	algorithms	algorithm	NOUN
ejpam-4780	199	17	and	and	CCONJ
ejpam-4780	199	18	it	it	PRON
ejpam-4780	199	19	’s	’	VERB
ejpam-4780	199	20	a	a	DET
ejpam-4780	199	21	variable	variable	NOUN
ejpam-4780	199	22	that	that	PRON
ejpam-4780	199	23	is	be	AUX
ejpam-4780	199	24	a	a	DET
ejpam-4780	199	25	good	good	ADJ
ejpam-4780	199	26	criterion	criterion	NOUN
ejpam-4780	199	27	for	for	ADP
ejpam-4780	199	28	comparing	compare	VERB
ejpam-4780	199	29	the	the	DET
ejpam-4780	199	30	exact	exact	ADJ
ejpam-4780	199	31	results	result	NOUN
ejpam-4780	199	32	from	from	ADP
ejpam-4780	199	33	gams	gam	NOUN
ejpam-4780	199	34	and	and	CCONJ
ejpam-4780	199	35	the	the	DET
ejpam-4780	199	36	goodness	goodness	NOUN
ejpam-4780	199	37	of	of	ADP
ejpam-4780	199	38	various	various	ADJ
ejpam-4780	199	39	algorithms	algorithm	NOUN
ejpam-4780	199	40	.	.	PUNCT
ejpam-4780	200	1	it	it	PRON
ejpam-4780	200	2	is	be	AUX
ejpam-4780	200	3	noteworthy	noteworthy	ADJ
ejpam-4780	200	4	that	that	SCONJ
ejpam-4780	200	5	the	the	DET
ejpam-4780	200	6	abc	abc	PROPN
ejpam-4780	200	7	and	and	CCONJ
ejpam-4780	200	8	mabc	mabc	PROPN
ejpam-4780	200	9	are	be	AUX
ejpam-4780	200	10	simulated	simulate	VERB
ejpam-4780	200	11	by	by	ADP
ejpam-4780	200	12	randomly	randomly	ADV
ejpam-4780	200	13	generating	generate	VERB
ejpam-4780	200	14	a	a	DET
ejpam-4780	200	15	situation	situation	NOUN
ejpam-4780	200	16	.	.	PUNCT
ejpam-4780	201	1	5	5	X
ejpam-4780	201	2	.	.	X
ejpam-4780	201	3	conclusion	conclusion	NOUN
ejpam-4780	201	4	in	in	ADP
ejpam-4780	201	5	this	this	DET
ejpam-4780	201	6	work	work	NOUN
ejpam-4780	201	7	,	,	PUNCT
ejpam-4780	201	8	we	we	PRON
ejpam-4780	201	9	used	use	VERB
ejpam-4780	201	10	abc	abc	PROPN
ejpam-4780	201	11	and	and	CCONJ
ejpam-4780	201	12	mabc	mabc	NOUN
ejpam-4780	201	13	methods	method	NOUN
ejpam-4780	201	14	for	for	ADP
ejpam-4780	201	15	solving	solve	VERB
ejpam-4780	201	16	the	the	DET
ejpam-4780	201	17	ccr	ccr	PROPN
ejpam-4780	201	18	model	model	NOUN
ejpam-4780	201	19	(	(	PUNCT
ejpam-4780	201	20	multiplier	multipli	ADJ
ejpam-4780	201	21	form	form	NOUN
ejpam-4780	201	22	)	)	PUNCT
ejpam-4780	201	23	of	of	ADP
ejpam-4780	201	24	the	the	DET
ejpam-4780	201	25	optimization	optimization	NOUN
ejpam-4780	201	26	problems	problem	NOUN
ejpam-4780	201	27	.	.	PUNCT
ejpam-4780	202	1	using	use	VERB
ejpam-4780	202	2	the	the	DET
ejpam-4780	202	3	proposed	propose	VERB
ejpam-4780	202	4	method	method	NOUN
ejpam-4780	202	5	,	,	PUNCT
ejpam-4780	202	6	the	the	DET
ejpam-4780	202	7	decision	decision	NOUN
ejpam-4780	202	8	maker	maker	NOUN
ejpam-4780	202	9	is	be	AUX
ejpam-4780	202	10	able	able	ADJ
ejpam-4780	202	11	to	to	PART
ejpam-4780	202	12	detect	detect	VERB
ejpam-4780	202	13	the	the	DET
ejpam-4780	202	14	strong	strong	ADJ
ejpam-4780	202	15	efficiency	efficiency	NOUN
ejpam-4780	202	16	units	unit	NOUN
ejpam-4780	202	17	by	by	ADP
ejpam-4780	202	18	solving	solve	VERB
ejpam-4780	202	19	only	only	ADV
ejpam-4780	202	20	one	one	NUM
ejpam-4780	202	21	lp	lp	NOUN
ejpam-4780	202	22	,	,	PUNCT
ejpam-4780	202	23	instead	instead	ADV
ejpam-4780	202	24	of	of	ADP
ejpam-4780	202	25	n	n	DET
ejpam-4780	202	26	lp	lp	NOUN
ejpam-4780	202	27	,	,	PUNCT
ejpam-4780	202	28	therefore	therefore	ADV
ejpam-4780	202	29	,	,	PUNCT
ejpam-4780	202	30	can	can	AUX
ejpam-4780	202	31	achieve	achieve	VERB
ejpam-4780	202	32	faster	fast	ADJ
ejpam-4780	202	33	results	result	NOUN
ejpam-4780	202	34	.	.	PUNCT
ejpam-4780	203	1	in	in	ADP
ejpam-4780	203	2	abc	abc	PROPN
ejpam-4780	203	3	and	and	CCONJ
ejpam-4780	203	4	mabc	mabc	PROPN
ejpam-4780	203	5	,	,	PUNCT
ejpam-4780	203	6	we	we	PRON
ejpam-4780	203	7	attempt	attempt	VERB
ejpam-4780	203	8	to	to	PART
ejpam-4780	203	9	find	find	VERB
ejpam-4780	203	10	an	an	DET
ejpam-4780	203	11	optimal	optimal	ADJ
ejpam-4780	203	12	solution	solution	NOUN
ejpam-4780	203	13	to	to	ADP
ejpam-4780	203	14	the	the	DET
ejpam-4780	203	15	ccr	ccr	PROPN
ejpam-4780	203	16	model	model	NOUN
ejpam-4780	203	17	which	which	PRON
ejpam-4780	203	18	satisfies	satisfy	VERB
ejpam-4780	203	19	all	all	DET
ejpam-4780	203	20	the	the	DET
ejpam-4780	203	21	constraints	constraint	NOUN
ejpam-4780	203	22	.	.	PUNCT
ejpam-4780	204	1	solving	solve	VERB
ejpam-4780	204	2	models	model	NOUN
ejpam-4780	204	3	by	by	ADP
ejpam-4780	204	4	using	use	VERB
ejpam-4780	204	5	the	the	DET
ejpam-4780	204	6	mabc	mabc	ADJ
ejpam-4780	204	7	algorithm	algorithm	NOUN
ejpam-4780	204	8	for	for	ADP
ejpam-4780	204	9	computing	compute	VERB
ejpam-4780	204	10	the	the	DET
ejpam-4780	204	11	suitable	suitable	ADJ
ejpam-4780	204	12	non	non	ADJ
ejpam-4780	204	13	-	-	ADJ
ejpam-4780	204	14	archimedean	archimedean	ADJ
ejpam-4780	204	15	epsilon	epsilon	PROPN
ejpam-4780	204	16	without	without	ADP
ejpam-4780	204	17	needing	need	VERB
ejpam-4780	204	18	to	to	PART
ejpam-4780	204	19	solve	solve	VERB
ejpam-4780	204	20	the	the	DET
ejpam-4780	204	21	two	two	NUM
ejpam-4780	204	22	-	-	PUNCT
ejpam-4780	204	23	stage	stage	NOUN
ejpam-4780	204	24	approach	approach	NOUN
ejpam-4780	204	25	and	and	CCONJ
ejpam-4780	204	26	the	the	DET
ejpam-4780	204	27	ability	ability	NOUN
ejpam-4780	204	28	to	to	PART
ejpam-4780	204	29	find	find	VERB
ejpam-4780	204	30	efficient	efficient	ADJ
ejpam-4780	204	31	dmus	dmus	NOUN
ejpam-4780	204	32	are	be	AUX
ejpam-4780	204	33	the	the	DET
ejpam-4780	204	34	advantages	advantage	NOUN
ejpam-4780	204	35	of	of	ADP
ejpam-4780	204	36	the	the	DET
ejpam-4780	204	37	new	new	ADJ
ejpam-4780	204	38	method	method	NOUN
ejpam-4780	204	39	.	.	PUNCT
ejpam-4780	205	1	theoretically	theoretically	ADV
ejpam-4780	205	2	,	,	PUNCT
ejpam-4780	205	3	we	we	PRON
ejpam-4780	205	4	will	will	AUX
ejpam-4780	205	5	emphasize	emphasize	VERB
ejpam-4780	205	6	that	that	SCONJ
ejpam-4780	205	7	this	this	DET
ejpam-4780	205	8	one	one	NUM
ejpam-4780	205	9	-	-	PUNCT
ejpam-4780	205	10	stage	stage	NOUN
ejpam-4780	205	11	mabc	mabc	NOUN
ejpam-4780	205	12	algorithm	algorithm	NOUN
ejpam-4780	205	13	is	be	AUX
ejpam-4780	205	14	solvable	solvable	ADJ
ejpam-4780	205	15	,	,	PUNCT
ejpam-4780	205	16	although	although	SCONJ
ejpam-4780	205	17	we	we	PRON
ejpam-4780	205	18	have	have	AUX
ejpam-4780	205	19	already	already	ADV
ejpam-4780	205	20	done	do	VERB
ejpam-4780	205	21	this	this	PRON
ejpam-4780	205	22	practically	practically	ADV
ejpam-4780	205	23	.	.	PUNCT
ejpam-4780	206	1	unfortunately	unfortunately	ADV
ejpam-4780	206	2	,	,	PUNCT
ejpam-4780	206	3	there	there	PRON
ejpam-4780	206	4	is	be	VERB
ejpam-4780	206	5	no	no	DET
ejpam-4780	206	6	single	single	ADJ
ejpam-4780	206	7	solution	solution	NOUN
ejpam-4780	206	8	for	for	ADP
ejpam-4780	206	9	dealing	deal	VERB
ejpam-4780	206	10	with	with	ADP
ejpam-4780	206	11	the	the	DET
ejpam-4780	206	12	general	general	ADJ
ejpam-4780	206	13	dea	dea	PROPN
ejpam-4780	206	14	models	model	NOUN
ejpam-4780	206	15	,	,	PUNCT
ejpam-4780	206	16	because	because	SCONJ
ejpam-4780	206	17	of	of	ADP
ejpam-4780	206	18	the	the	DET
ejpam-4780	206	19	unstable	unstable	ADJ
ejpam-4780	206	20	behavior	behavior	NOUN
ejpam-4780	206	21	of	of	ADP
ejpam-4780	206	22	the	the	DET
ejpam-4780	206	23	meta	meta	ADJ
ejpam-4780	206	24	-	-	PUNCT
ejpam-4780	206	25	heuristic	heuristic	ADJ
ejpam-4780	206	26	algorithms	algorithm	NOUN
ejpam-4780	206	27	.	.	PUNCT
ejpam-4780	207	1	it	it	PRON
ejpam-4780	207	2	is	be	AUX
ejpam-4780	207	3	worth	worth	ADJ
ejpam-4780	207	4	noting	note	VERB
ejpam-4780	207	5	that	that	SCONJ
ejpam-4780	207	6	the	the	DET
ejpam-4780	207	7	model	model	NOUN
ejpam-4780	207	8	used	use	VERB
ejpam-4780	207	9	in	in	ADP
ejpam-4780	207	10	this	this	DET
ejpam-4780	207	11	paper	paper	NOUN
ejpam-4780	207	12	is	be	AUX
ejpam-4780	207	13	inputoriented	inputoriente	VERB
ejpam-4780	207	14	,	,	PUNCT
ejpam-4780	207	15	but	but	CCONJ
ejpam-4780	207	16	can	can	AUX
ejpam-4780	207	17	also	also	ADV
ejpam-4780	207	18	be	be	AUX
ejpam-4780	207	19	extended	extend	VERB
ejpam-4780	207	20	to	to	ADP
ejpam-4780	207	21	output	output	NOUN
ejpam-4780	207	22	-	-	PUNCT
ejpam-4780	207	23	oriented	orient	VERB
ejpam-4780	207	24	.	.	PUNCT
ejpam-4780	208	1	although	although	SCONJ
ejpam-4780	208	2	in	in	ADP
ejpam-4780	208	3	this	this	DET
ejpam-4780	208	4	paper	paper	NOUN
ejpam-4780	208	5	,	,	PUNCT
ejpam-4780	208	6	we	we	PRON
ejpam-4780	208	7	have	have	AUX
ejpam-4780	208	8	dealt	deal	VERB
ejpam-4780	208	9	with	with	ADP
ejpam-4780	208	10	the	the	DET
ejpam-4780	208	11	case	case	NOUN
ejpam-4780	208	12	of	of	ADP
ejpam-4780	208	13	constant	constant	ADJ
ejpam-4780	208	14	returns	return	NOUN
ejpam-4780	208	15	to	to	PART
ejpam-4780	208	16	scale	scale	VERB
ejpam-4780	208	17	,	,	PUNCT
ejpam-4780	208	18	we	we	PRON
ejpam-4780	208	19	can	can	AUX
ejpam-4780	208	20	apply	apply	VERB
ejpam-4780	208	21	this	this	DET
ejpam-4780	208	22	model	model	NOUN
ejpam-4780	208	23	to	to	ADP
ejpam-4780	208	24	other	other	ADJ
ejpam-4780	208	25	cases	case	NOUN
ejpam-4780	208	26	of	of	ADP
ejpam-4780	208	27	returns	return	NOUN
ejpam-4780	208	28	to	to	PART
ejpam-4780	208	29	scale	scale	VERB
ejpam-4780	208	30	by	by	ADP
ejpam-4780	208	31	imposing	impose	VERB
ejpam-4780	208	32	restrictions	restriction	NOUN
ejpam-4780	208	33	on	on	ADP
ejpam-4780	208	34	the	the	DET
ejpam-4780	208	35	initial	initial	ADJ
ejpam-4780	208	36	intensity	intensity	NOUN
ejpam-4780	208	37	vector	vector	NOUN
ejpam-4780	208	38	.	.	PUNCT
ejpam-4780	209	1	also	also	ADV
ejpam-4780	209	2	,	,	PUNCT
ejpam-4780	209	3	despite	despite	SCONJ
ejpam-4780	209	4	this	this	DET
ejpam-4780	209	5	modification	modification	NOUN
ejpam-4780	209	6	that	that	PRON
ejpam-4780	209	7	is	be	AUX
ejpam-4780	209	8	mentioned	mention	VERB
ejpam-4780	209	9	,	,	PUNCT
ejpam-4780	209	10	there	there	PRON
ejpam-4780	209	11	can	can	AUX
ejpam-4780	209	12	be	be	AUX
ejpam-4780	209	13	some	some	DET
ejpam-4780	209	14	new	new	ADJ
ejpam-4780	209	15	modifications	modification	NOUN
ejpam-4780	209	16	on	on	ADP
ejpam-4780	209	17	other	other	ADJ
ejpam-4780	209	18	aspects	aspect	NOUN
ejpam-4780	209	19	of	of	ADP
ejpam-4780	209	20	abc	abc	PROPN
ejpam-4780	209	21	algorithm	algorithm	PROPN
ejpam-4780	209	22	that	that	PRON
ejpam-4780	209	23	are	be	AUX
ejpam-4780	209	24	remained	remain	VERB
ejpam-4780	209	25	for	for	ADP
ejpam-4780	209	26	future	future	ADJ
ejpam-4780	209	27	works	work	NOUN
ejpam-4780	209	28	.	.	PUNCT
ejpam-4780	210	1	references	reference	NOUN
ejpam-4780	210	2	[	[	X
ejpam-4780	210	3	1	1	NUM
ejpam-4780	210	4	]	]	PUNCT
ejpam-4780	210	5	bahriye	bahriye	NOUN
ejpam-4780	210	6	akay	akay	PROPN
ejpam-4780	210	7	and	and	CCONJ
ejpam-4780	210	8	dervis	dervis	PROPN
ejpam-4780	210	9	karaboga	karaboga	NOUN
ejpam-4780	210	10	.	.	PUNCT
ejpam-4780	211	1	a	a	DET
ejpam-4780	211	2	modified	modify	VERB
ejpam-4780	211	3	artificial	artificial	ADJ
ejpam-4780	211	4	bee	bee	NOUN
ejpam-4780	211	5	colony	colony	NOUN
ejpam-4780	211	6	algorithm	algorithm	NOUN
ejpam-4780	211	7	for	for	ADP
ejpam-4780	211	8	real	real	ADJ
ejpam-4780	211	9	-	-	PUNCT
ejpam-4780	211	10	parameter	parameter	NOUN
ejpam-4780	211	11	optimization	optimization	NOUN
ejpam-4780	211	12	.	.	PUNCT
ejpam-4780	212	1	information	information	NOUN
ejpam-4780	212	2	sciences	sciences	PROPN
ejpam-4780	212	3	,	,	PUNCT
ejpam-4780	212	4	192:120–142	192:120–142	NUM
ejpam-4780	212	5	,	,	PUNCT
ejpam-4780	212	6	2012	2012	NUM
ejpam-4780	212	7	.	.	PUNCT
ejpam-4780	213	1	[	[	X
ejpam-4780	213	2	2	2	NUM
ejpam-4780	213	3	]	]	PUNCT
ejpam-4780	213	4	agha	agha	PROPN
ejpam-4780	213	5	iqbal	iqbal	PROPN
ejpam-4780	213	6	ali	ali	PROPN
ejpam-4780	213	7	and	and	CCONJ
ejpam-4780	213	8	lawrence	lawrence	PROPN
ejpam-4780	213	9	m.	m.	PROPN
ejpam-4780	213	10	seiford	seiford	PROPN
ejpam-4780	213	11	.	.	PUNCT
ejpam-4780	214	1	computational	computational	ADJ
ejpam-4780	214	2	accuracy	accuracy	NOUN
ejpam-4780	214	3	and	and	CCONJ
ejpam-4780	214	4	infinitesimals	infinitesimal	NOUN
ejpam-4780	214	5	in	in	ADP
ejpam-4780	214	6	data	datum	NOUN
ejpam-4780	214	7	envelopment	envelopment	ADJ
ejpam-4780	214	8	analysis	analysis	NOUN
ejpam-4780	214	9	.	.	PUNCT
ejpam-4780	215	1	infor	infor	PROPN
ejpam-4780	215	2	,	,	PUNCT
ejpam-4780	215	3	31(4):290–297	31(4):290–297	PROPN
ejpam-4780	215	4	,	,	PUNCT
ejpam-4780	215	5	1993	1993	NUM
ejpam-4780	215	6	.	.	PUNCT
ejpam-4780	216	1	[	[	X
ejpam-4780	216	2	3	3	X
ejpam-4780	216	3	]	]	X
ejpam-4780	216	4	mohammadreza	mohammadreza	NOUN
ejpam-4780	216	5	alirezaee	alirezaee	PROPN
ejpam-4780	216	6	and	and	CCONJ
ejpam-4780	216	7	masoud	masoud	PROPN
ejpam-4780	216	8	khalili	khalili	PROPN
ejpam-4780	216	9	.	.	PUNCT
ejpam-4780	217	1	recognizing	recognize	VERB
ejpam-4780	217	2	the	the	DET
ejpam-4780	217	3	efficiency	efficiency	NOUN
ejpam-4780	217	4	,	,	PUNCT
ejpam-4780	217	5	weak	weak	ADJ
ejpam-4780	217	6	efficiency	efficiency	NOUN
ejpam-4780	217	7	and	and	CCONJ
ejpam-4780	217	8	inefficiency	inefficiency	NOUN
ejpam-4780	217	9	of	of	ADP
ejpam-4780	217	10	dmus	dmus	NOUN
ejpam-4780	217	11	with	with	ADP
ejpam-4780	217	12	an	an	DET
ejpam-4780	217	13	epsilon	epsilon	PROPN
ejpam-4780	217	14	independent	independent	PROPN
ejpam-4780	217	15	linear	linear	PROPN
ejpam-4780	217	16	program	program	NOUN
ejpam-4780	217	17	.	.	PUNCT
ejpam-4780	218	1	applied	apply	VERB
ejpam-4780	218	2	mathematics	mathematic	NOUN
ejpam-4780	218	3	and	and	CCONJ
ejpam-4780	218	4	computation	computation	NOUN
ejpam-4780	218	5	,	,	PUNCT
ejpam-4780	218	6	183:1323–1327	183:1323–1327	NUM
ejpam-4780	218	7	,	,	PUNCT
ejpam-4780	218	8	2006	2006	NUM
ejpam-4780	218	9	.	.	PUNCT
ejpam-4780	219	1	references	reference	NOUN
ejpam-4780	219	2	1622	1622	NUM
ejpam-4780	219	3	[	[	X
ejpam-4780	219	4	4	4	NUM
ejpam-4780	219	5	]	]	PUNCT
ejpam-4780	219	6	amir	amir	X
ejpam-4780	219	7	alizadegan	alizadegan	NOUN
ejpam-4780	219	8	,	,	PUNCT
ejpam-4780	219	9	babak	babak	PROPN
ejpam-4780	219	10	asady	asady	PROPN
ejpam-4780	219	11	,	,	PUNCT
ejpam-4780	219	12	and	and	CCONJ
ejpam-4780	219	13	mohammad	mohammad	PROPN
ejpam-4780	219	14	ahmadpour	ahmadpour	PROPN
ejpam-4780	219	15	.	.	PUNCT
ejpam-4780	220	1	two	two	NUM
ejpam-4780	220	2	modified	modify	VERB
ejpam-4780	220	3	versions	version	NOUN
ejpam-4780	220	4	of	of	ADP
ejpam-4780	220	5	artificial	artificial	ADJ
ejpam-4780	220	6	bee	bee	NOUN
ejpam-4780	220	7	colony	colony	NOUN
ejpam-4780	220	8	algorithm	algorithm	NOUN
ejpam-4780	220	9	.	.	PUNCT
ejpam-4780	221	1	applied	apply	VERB
ejpam-4780	221	2	mathematics	mathematic	NOUN
ejpam-4780	221	3	and	and	CCONJ
ejpam-4780	221	4	computation	computation	NOUN
ejpam-4780	221	5	,	,	PUNCT
ejpam-4780	221	6	225:601	225:601	NOUN
ejpam-4780	221	7	–	–	PUNCT
ejpam-4780	221	8	609	609	NUM
ejpam-4780	221	9	,	,	PUNCT
ejpam-4780	221	10	2013	2013	NUM
ejpam-4780	221	11	.	.	PUNCT
ejpam-4780	222	1	[	[	X
ejpam-4780	222	2	5	5	NUM
ejpam-4780	222	3	]	]	PUNCT
ejpam-4780	222	4	gholam.r	gholam.r	VERB
ejpam-4780	222	5	.	.	PUNCT
ejpam-4780	223	1	amin	amin	PROPN
ejpam-4780	223	2	and	and	CCONJ
ejpam-4780	223	3	mehdi	mehdi	PROPN
ejpam-4780	223	4	toloo	toloo	NOUN
ejpam-4780	223	5	.	.	PUNCT
ejpam-4780	224	1	a	a	DET
ejpam-4780	224	2	polynomial	polynomial	ADJ
ejpam-4780	224	3	-	-	PUNCT
ejpam-4780	224	4	time	time	NOUN
ejpam-4780	224	5	algorithm	algorithm	NOUN
ejpam-4780	224	6	for	for	ADP
ejpam-4780	224	7	finding	find	VERB
ejpam-4780	224	8	epsilon	epsilon	PROPN
ejpam-4780	224	9	in	in	ADP
ejpam-4780	224	10	dea	dea	PROPN
ejpam-4780	224	11	models	model	NOUN
ejpam-4780	224	12	.	.	PUNCT
ejpam-4780	225	1	computers	computer	NOUN
ejpam-4780	225	2	and	and	CCONJ
ejpam-4780	225	3	operations	operation	NOUN
ejpam-4780	225	4	research	research	NOUN
ejpam-4780	225	5	,	,	PUNCT
ejpam-4780	225	6	31(5):803–805	31(5):803–805	PROPN
ejpam-4780	225	7	,	,	PUNCT
ejpam-4780	225	8	2004	2004	NUM
ejpam-4780	225	9	.	.	PUNCT
ejpam-4780	226	1	[	[	X
ejpam-4780	226	2	6	6	NUM
ejpam-4780	226	3	]	]	X
ejpam-4780	226	4	babak	babak	PROPN
ejpam-4780	226	5	asady	asady	PROPN
ejpam-4780	226	6	,	,	PUNCT
ejpam-4780	226	7	parvaneh	parvaneh	PROPN
ejpam-4780	226	8	mansouri	mansouri	PROPN
ejpam-4780	226	9	,	,	PUNCT
ejpam-4780	226	10	and	and	CCONJ
ejpam-4780	226	11	neelima	neelima	PROPN
ejpam-4780	226	12	gupta	gupta	PROPN
ejpam-4780	226	13	.	.	PUNCT
ejpam-4780	227	1	the	the	DET
ejpam-4780	227	2	modify	modify	VERB
ejpam-4780	227	3	version	version	NOUN
ejpam-4780	227	4	of	of	ADP
ejpam-4780	227	5	artificial	artificial	ADJ
ejpam-4780	227	6	bee	bee	NOUN
ejpam-4780	227	7	colony	colony	NOUN
ejpam-4780	227	8	algorithm	algorithm	NOUN
ejpam-4780	227	9	to	to	PART
ejpam-4780	227	10	solve	solve	VERB
ejpam-4780	227	11	real	real	ADJ
ejpam-4780	227	12	optimization	optimization	NOUN
ejpam-4780	227	13	problems	problem	NOUN
ejpam-4780	227	14	.	.	PUNCT
ejpam-4780	228	1	international	international	ADJ
ejpam-4780	228	2	journal	journal	NOUN
ejpam-4780	228	3	of	of	ADP
ejpam-4780	228	4	electrical	electrical	ADJ
ejpam-4780	228	5	and	and	CCONJ
ejpam-4780	228	6	computer	computer	NOUN
ejpam-4780	228	7	engineering	engineering	NOUN
ejpam-4780	228	8	,	,	PUNCT
ejpam-4780	228	9	2:473–480	2:473–480	NUM
ejpam-4780	228	10	,	,	PUNCT
ejpam-4780	228	11	2012	2012	NUM
ejpam-4780	228	12	.	.	PUNCT
ejpam-4780	229	1	[	[	X
ejpam-4780	229	2	7	7	X
ejpam-4780	229	3	]	]	X
ejpam-4780	229	4	abraham	abraham	PROPN
ejpam-4780	229	5	charnes	charnes	PROPN
ejpam-4780	229	6	,	,	PUNCT
ejpam-4780	229	7	william	william	PROPN
ejpam-4780	229	8	w.	w.	PROPN
ejpam-4780	229	9	cooper	cooper	PROPN
ejpam-4780	229	10	,	,	PUNCT
ejpam-4780	229	11	and	and	CCONJ
ejpam-4780	229	12	edwardo	edwardo	PROPN
ejpam-4780	229	13	rhodes	rhode	NOUN
ejpam-4780	229	14	.	.	PUNCT
ejpam-4780	230	1	measuring	measure	VERB
ejpam-4780	230	2	the	the	DET
ejpam-4780	230	3	efficiency	efficiency	NOUN
ejpam-4780	230	4	of	of	ADP
ejpam-4780	230	5	decision	decision	NOUN
ejpam-4780	230	6	making	make	VERB
ejpam-4780	230	7	units	unit	NOUN
ejpam-4780	230	8	.	.	PUNCT
ejpam-4780	231	1	european	european	PROPN
ejpam-4780	231	2	journal	journal	PROPN
ejpam-4780	231	3	of	of	ADP
ejpam-4780	231	4	operational	operational	ADJ
ejpam-4780	231	5	research	research	NOUN
ejpam-4780	231	6	,	,	PUNCT
ejpam-4780	231	7	2(6):429	2(6):429	NUM
ejpam-4780	231	8	–	–	PUNCT
ejpam-4780	231	9	444	444	NUM
ejpam-4780	231	10	,	,	PUNCT
ejpam-4780	231	11	1978	1978	NUM
ejpam-4780	231	12	.	.	PUNCT
ejpam-4780	232	1	[	[	X
ejpam-4780	232	2	8	8	NUM
ejpam-4780	232	3	]	]	X
ejpam-4780	232	4	abraham	abraham	PROPN
ejpam-4780	232	5	charnes	charnes	PROPN
ejpam-4780	232	6	,	,	PUNCT
ejpam-4780	232	7	william	william	PROPN
ejpam-4780	232	8	w.	w.	PROPN
ejpam-4780	232	9	cooper	cooper	PROPN
ejpam-4780	232	10	,	,	PUNCT
ejpam-4780	232	11	and	and	CCONJ
ejpam-4780	232	12	edwardo	edwardo	PROPN
ejpam-4780	232	13	rhodes	rhode	NOUN
ejpam-4780	232	14	.	.	PUNCT
ejpam-4780	233	1	short	short	ADJ
ejpam-4780	233	2	communication	communication	NOUN
ejpam-4780	233	3	:	:	PUNCT
ejpam-4780	233	4	measuring	measure	VERB
ejpam-4780	233	5	the	the	DET
ejpam-4780	233	6	efficiency	efficiency	NOUN
ejpam-4780	233	7	of	of	ADP
ejpam-4780	233	8	decision	decision	NOUN
ejpam-4780	233	9	making	make	VERB
ejpam-4780	233	10	units	unit	NOUN
ejpam-4780	233	11	.	.	PUNCT
ejpam-4780	234	1	european	european	PROPN
ejpam-4780	234	2	journal	journal	PROPN
ejpam-4780	234	3	of	of	ADP
ejpam-4780	234	4	operational	operational	ADJ
ejpam-4780	234	5	research	research	NOUN
ejpam-4780	234	6	,	,	PUNCT
ejpam-4780	234	7	3(4):338–339	3(4):338–339	NUM
ejpam-4780	234	8	,	,	PUNCT
ejpam-4780	234	9	1979	1979	NUM
ejpam-4780	234	10	.	.	PUNCT
ejpam-4780	235	1	[	[	X
ejpam-4780	235	2	9	9	NUM
ejpam-4780	235	3	]	]	PUNCT
ejpam-4780	235	4	william	william	PROPN
ejpam-4780	235	5	w.	w.	PROPN
ejpam-4780	235	6	cooper	cooper	PROPN
ejpam-4780	235	7	,	,	PUNCT
ejpam-4780	235	8	lawrence	lawrence	PROPN
ejpam-4780	235	9	m.	m.	PROPN
ejpam-4780	235	10	seiford	seiford	PROPN
ejpam-4780	235	11	,	,	PUNCT
ejpam-4780	235	12	and	and	CCONJ
ejpam-4780	235	13	kaoru	kaoru	PROPN
ejpam-4780	235	14	tone	tone	PROPN
ejpam-4780	235	15	.	.	PUNCT
ejpam-4780	236	1	data	datum	NOUN
ejpam-4780	236	2	envelopment	envelopment	ADJ
ejpam-4780	236	3	analysis	analysis	NOUN
ejpam-4780	236	4	:	:	PUNCT
ejpam-4780	236	5	a	a	DET
ejpam-4780	236	6	comprehensive	comprehensive	ADJ
ejpam-4780	236	7	text	text	NOUN
ejpam-4780	236	8	with	with	ADP
ejpam-4780	236	9	models	model	NOUN
ejpam-4780	236	10	,	,	PUNCT
ejpam-4780	236	11	applications	application	NOUN
ejpam-4780	236	12	,	,	PUNCT
ejpam-4780	236	13	references	reference	NOUN
ejpam-4780	236	14	and	and	CCONJ
ejpam-4780	236	15	dea	dea	NOUN
ejpam-4780	236	16	-	-	ADJ
ejpam-4780	236	17	solver	solver	ADJ
ejpam-4780	236	18	software	software	NOUN
ejpam-4780	236	19	.	.	PUNCT
ejpam-4780	237	1	kluwer	kluwer	NOUN
ejpam-4780	237	2	academic	academic	ADJ
ejpam-4780	237	3	publishers	publisher	NOUN
ejpam-4780	237	4	,	,	PUNCT
ejpam-4780	237	5	1999	1999	NUM
ejpam-4780	237	6	.	.	PUNCT
ejpam-4780	238	1	[	[	X
ejpam-4780	238	2	10	10	NUM
ejpam-4780	238	3	]	]	X
ejpam-4780	238	4	marco	marco	PROPN
ejpam-4780	238	5	.	.	PROPN
ejpam-4780	238	6	dorigo	dorigo	PROPN
ejpam-4780	238	7	,	,	PUNCT
ejpam-4780	238	8	vittorio	vittorio	PROPN
ejpam-4780	238	9	maniezzo	maniezzo	PROPN
ejpam-4780	238	10	,	,	PUNCT
ejpam-4780	238	11	and	and	CCONJ
ejpam-4780	238	12	alberto	alberto	PROPN
ejpam-4780	238	13	colorni	colorni	PROPN
ejpam-4780	238	14	.	.	PUNCT
ejpam-4780	239	1	the	the	DET
ejpam-4780	239	2	ant	ant	ADJ
ejpam-4780	239	3	system	system	NOUN
ejpam-4780	239	4	:	:	PUNCT
ejpam-4780	239	5	optimization	optimization	NOUN
ejpam-4780	239	6	by	by	ADP
ejpam-4780	239	7	a	a	DET
ejpam-4780	239	8	colony	colony	NOUN
ejpam-4780	239	9	of	of	ADP
ejpam-4780	239	10	cooperating	cooperate	VERB
ejpam-4780	239	11	agents	agent	NOUN
ejpam-4780	239	12	.	.	PUNCT
ejpam-4780	240	1	ieee	ieee	NOUN
ejpam-4780	240	2	transactions	transaction	NOUN
ejpam-4780	240	3	on	on	ADP
ejpam-4780	240	4	systems	system	NOUN
ejpam-4780	240	5	man	man	NOUN
ejpam-4780	240	6	and	and	CCONJ
ejpam-4780	240	7	cybernetics	cybernetic	NOUN
ejpam-4780	240	8	part	part	NOUN
ejpam-4780	240	9	b	b	PROPN
ejpam-4780	240	10	,	,	PUNCT
ejpam-4780	240	11	26:1–13	26:1–13	NUM
ejpam-4780	240	12	,	,	PUNCT
ejpam-4780	240	13	1996	1996	NUM
ejpam-4780	240	14	.	.	PUNCT
ejpam-4780	241	1	[	[	X
ejpam-4780	241	2	11	11	NUM
ejpam-4780	241	3	]	]	PUNCT
ejpam-4780	241	4	bohlool	bohlool	NOUN
ejpam-4780	241	5	ebrahimi	ebrahimi	PROPN
ejpam-4780	241	6	and	and	CCONJ
ejpam-4780	241	7	ehsan	ehsan	PROPN
ejpam-4780	241	8	hajizadeh	hajizadeh	PROPN
ejpam-4780	241	9	.	.	PUNCT
ejpam-4780	242	1	a	a	DET
ejpam-4780	242	2	novel	novel	ADJ
ejpam-4780	242	3	dea	dea	NOUN
ejpam-4780	242	4	model	model	NOUN
ejpam-4780	242	5	for	for	ADP
ejpam-4780	242	6	solving	solve	VERB
ejpam-4780	242	7	performance	performance	NOUN
ejpam-4780	242	8	measurement	measurement	NOUN
ejpam-4780	242	9	problems	problem	NOUN
ejpam-4780	242	10	with	with	ADP
ejpam-4780	242	11	flexible	flexible	ADJ
ejpam-4780	242	12	measures	measure	NOUN
ejpam-4780	242	13	:	:	PUNCT
ejpam-4780	242	14	an	an	DET
ejpam-4780	242	15	application	application	NOUN
ejpam-4780	242	16	to	to	ADP
ejpam-4780	242	17	tehran	tehran	PROPN
ejpam-4780	242	18	stock	stock	PROPN
ejpam-4780	242	19	exchange	exchange	PROPN
ejpam-4780	242	20	.	.	PUNCT
ejpam-4780	243	1	measurement	measurement	NOUN
ejpam-4780	243	2	,	,	PUNCT
ejpam-4780	243	3	179:109444	179:109444	NUM
ejpam-4780	243	4	,	,	PUNCT
ejpam-4780	243	5	2021	2021	NUM
ejpam-4780	243	6	.	.	PUNCT
ejpam-4780	244	1	[	[	X
ejpam-4780	244	2	12	12	NUM
ejpam-4780	244	3	]	]	X
ejpam-4780	244	4	ali	ali	PROPN
ejpam-4780	244	5	emrouznejad	emrouznejad	PROPN
ejpam-4780	244	6	and	and	CCONJ
ejpam-4780	244	7	estelle	estelle	PROPN
ejpam-4780	244	8	shale	shale	PROPN
ejpam-4780	244	9	.	.	PUNCT
ejpam-4780	245	1	a	a	DET
ejpam-4780	245	2	combined	combine	VERB
ejpam-4780	245	3	neural	neural	ADJ
ejpam-4780	245	4	network	network	NOUN
ejpam-4780	245	5	and	and	CCONJ
ejpam-4780	245	6	dea	dea	NOUN
ejpam-4780	245	7	for	for	ADP
ejpam-4780	245	8	measuring	measure	VERB
ejpam-4780	245	9	efficiency	efficiency	NOUN
ejpam-4780	245	10	of	of	ADP
ejpam-4780	245	11	large	large	ADJ
ejpam-4780	245	12	scale	scale	NOUN
ejpam-4780	245	13	datasets	dataset	NOUN
ejpam-4780	245	14	.	.	PUNCT
ejpam-4780	246	1	computers	computer	NOUN
ejpam-4780	246	2	and	and	CCONJ
ejpam-4780	246	3	industrial	industrial	ADJ
ejpam-4780	246	4	engineering	engineering	NOUN
ejpam-4780	246	5	,	,	PUNCT
ejpam-4780	246	6	56(1):249	56(1):249	NUM
ejpam-4780	246	7	–	–	PUNCT
ejpam-4780	246	8	254	254	NUM
ejpam-4780	246	9	,	,	PUNCT
ejpam-4780	246	10	2009	2009	NUM
ejpam-4780	246	11	.	.	PUNCT
ejpam-4780	247	1	[	[	X
ejpam-4780	247	2	13	13	NUM
ejpam-4780	247	3	]	]	X
ejpam-4780	247	4	david	david	PROPN
ejpam-4780	247	5	e.	e.	PROPN
ejpam-4780	247	6	goldberg	goldberg	PROPN
ejpam-4780	247	7	.	.	PUNCT
ejpam-4780	248	1	genetic	genetic	ADJ
ejpam-4780	248	2	algorithms	algorithm	NOUN
ejpam-4780	248	3	in	in	ADP
ejpam-4780	248	4	search	search	NOUN
ejpam-4780	248	5	,	,	PUNCT
ejpam-4780	248	6	optimization	optimization	NOUN
ejpam-4780	248	7	,	,	PUNCT
ejpam-4780	248	8	and	and	CCONJ
ejpam-4780	248	9	machine	machine	NOUN
ejpam-4780	248	10	learning	learning	NOUN
ejpam-4780	248	11	.	.	PUNCT
ejpam-4780	249	1	addison	addison	PROPN
ejpam-4780	249	2	-	-	PUNCT
ejpam-4780	249	3	wesley	wesley	PROPN
ejpam-4780	249	4	professional	professional	PROPN
ejpam-4780	249	5	,	,	PUNCT
ejpam-4780	249	6	new	new	PROPN
ejpam-4780	249	7	york	york	PROPN
ejpam-4780	249	8	,	,	PUNCT
ejpam-4780	249	9	1989	1989	NUM
ejpam-4780	249	10	.	.	PUNCT
ejpam-4780	250	1	[	[	X
ejpam-4780	250	2	14	14	NUM
ejpam-4780	250	3	]	]	X
ejpam-4780	250	4	martin	martin	PROPN
ejpam-4780	250	5	gonzalez	gonzalez	PROPN
ejpam-4780	250	6	,	,	PUNCT
ejpam-4780	250	7	jose	jose	PROPN
ejpam-4780	250	8	j.	j.	PROPN
ejpam-4780	250	9	lopez	lopez	PROPN
ejpam-4780	250	10	-	-	PUNCT
ejpam-4780	250	11	espin	espin	NOUN
ejpam-4780	250	12	,	,	PUNCT
ejpam-4780	250	13	juan	juan	PROPN
ejpam-4780	250	14	aparicio	aparicio	PROPN
ejpam-4780	250	15	,	,	PUNCT
ejpam-4780	250	16	domingo	domingo	PROPN
ejpam-4780	250	17	gimenez	gimenez	PROPN
ejpam-4780	250	18	,	,	PUNCT
ejpam-4780	250	19	and	and	CCONJ
ejpam-4780	250	20	jesus	jesus	PROPN
ejpam-4780	250	21	t.	t.	PROPN
ejpam-4780	250	22	pastor	pastor	PROPN
ejpam-4780	250	23	.	.	PUNCT
ejpam-4780	251	1	using	use	VERB
ejpam-4780	251	2	genetic	genetic	ADJ
ejpam-4780	251	3	algorithms	algorithm	NOUN
ejpam-4780	251	4	for	for	ADP
ejpam-4780	251	5	maximizing	maximize	VERB
ejpam-4780	251	6	technical	technical	ADJ
ejpam-4780	251	7	efficiency	efficiency	NOUN
ejpam-4780	251	8	in	in	ADP
ejpam-4780	251	9	data	datum	NOUN
ejpam-4780	251	10	envelopment	envelopment	ADJ
ejpam-4780	251	11	analysis	analysis	NOUN
ejpam-4780	251	12	.	.	PUNCT
ejpam-4780	252	1	procedia	procedia	NOUN
ejpam-4780	252	2	computer	computer	NOUN
ejpam-4780	252	3	science	science	NOUN
ejpam-4780	252	4	,	,	PUNCT
ejpam-4780	252	5	51:374–383	51:374–383	PROPN
ejpam-4780	252	6	,	,	PUNCT
ejpam-4780	252	7	2015	2015	NUM
ejpam-4780	252	8	.	.	PUNCT
ejpam-4780	253	1	[	[	X
ejpam-4780	253	2	15	15	NUM
ejpam-4780	253	3	]	]	X
ejpam-4780	253	4	dervis	dervis	ADJ
ejpam-4780	253	5	karaboga	karaboga	NOUN
ejpam-4780	253	6	.	.	PUNCT
ejpam-4780	254	1	an	an	DET
ejpam-4780	254	2	idea	idea	NOUN
ejpam-4780	254	3	based	base	VERB
ejpam-4780	254	4	on	on	ADP
ejpam-4780	254	5	honey	honey	PROPN
ejpam-4780	254	6	bee	bee	PROPN
ejpam-4780	254	7	swarm	swarm	NOUN
ejpam-4780	254	8	for	for	ADP
ejpam-4780	254	9	numerical	numerical	ADJ
ejpam-4780	254	10	optimization	optimization	NOUN
ejpam-4780	254	11	.	.	PUNCT
ejpam-4780	255	1	in	in	ADP
ejpam-4780	255	2	technical	technical	ADJ
ejpam-4780	255	3	report	report	NOUN
ejpam-4780	255	4	-	-	PUNCT
ejpam-4780	255	5	tr06	tr06	PROPN
ejpam-4780	255	6	.	.	NOUN
ejpam-4780	255	7	,	,	PUNCT
ejpam-4780	255	8	erciyes	erciye	NOUN
ejpam-4780	255	9	university	university	NOUN
ejpam-4780	255	10	,	,	PUNCT
ejpam-4780	255	11	2005	2005	NUM
ejpam-4780	255	12	.	.	PUNCT
ejpam-4780	256	1	engineering	engineering	NOUN
ejpam-4780	256	2	faculty	faculty	NOUN
ejpam-4780	256	3	.	.	PUNCT
ejpam-4780	257	1	[	[	X
ejpam-4780	257	2	16	16	NUM
ejpam-4780	257	3	]	]	X
ejpam-4780	257	4	dervis	dervis	PROPN
ejpam-4780	257	5	karaboga	karaboga	PROPN
ejpam-4780	257	6	and	and	CCONJ
ejpam-4780	257	7	bahriye	bahriye	PROPN
ejpam-4780	257	8	basturk	basturk	PROPN
ejpam-4780	257	9	.	.	PUNCT
ejpam-4780	258	1	a	a	DET
ejpam-4780	258	2	powerful	powerful	ADJ
ejpam-4780	258	3	and	and	CCONJ
ejpam-4780	258	4	efficient	efficient	ADJ
ejpam-4780	258	5	algorithm	algorithm	NOUN
ejpam-4780	258	6	for	for	ADP
ejpam-4780	258	7	numerical	numerical	ADJ
ejpam-4780	258	8	function	function	PROPN
ejpam-4780	258	9	optimization	optimization	NOUN
ejpam-4780	258	10	:	:	PUNCT
ejpam-4780	258	11	artificial	artificial	ADJ
ejpam-4780	258	12	bee	bee	NOUN
ejpam-4780	258	13	colony	colony	NOUN
ejpam-4780	258	14	(	(	PUNCT
ejpam-4780	258	15	abc	abc	PROPN
ejpam-4780	258	16	)	)	PUNCT
ejpam-4780	258	17	algorithm	algorithm	NOUN
ejpam-4780	258	18	.	.	PUNCT
ejpam-4780	259	1	procedia	procedia	PROPN
ejpam-4780	259	2	computer	computer	NOUN
ejpam-4780	259	3	science	science	NOUN
ejpam-4780	259	4	,	,	PUNCT
ejpam-4780	259	5	39(3):459–471	39(3):459–471	PROPN
ejpam-4780	259	6	,	,	PUNCT
ejpam-4780	259	7	2007	2007	NUM
ejpam-4780	259	8	.	.	PUNCT
ejpam-4780	260	1	references	reference	NOUN
ejpam-4780	260	2	1623	1623	NUM
ejpam-4780	260	3	[	[	X
ejpam-4780	260	4	17	17	NUM
ejpam-4780	260	5	]	]	X
ejpam-4780	260	6	dervis	dervis	PROPN
ejpam-4780	260	7	karaboga	karaboga	NOUN
ejpam-4780	260	8	,	,	PUNCT
ejpam-4780	260	9	bahriye	bahriye	PROPN
ejpam-4780	260	10	basturk	basturk	PROPN
ejpam-4780	260	11	,	,	PUNCT
ejpam-4780	260	12	and	and	CCONJ
ejpam-4780	260	13	celal	celal	PROPN
ejpam-4780	260	14	ozturk	ozturk	PROPN
ejpam-4780	260	15	.	.	PUNCT
ejpam-4780	261	1	artificial	artificial	ADJ
ejpam-4780	261	2	bee	bee	PROPN
ejpam-4780	261	3	colony	colony	NOUN
ejpam-4780	261	4	(	(	PUNCT
ejpam-4780	261	5	abc	abc	PROPN
ejpam-4780	261	6	)	)	PUNCT
ejpam-4780	261	7	optimization	optimization	NOUN
ejpam-4780	261	8	algorithm	algorithm	NOUN
ejpam-4780	261	9	for	for	ADP
ejpam-4780	261	10	training	train	VERB
ejpam-4780	261	11	feed	feed	NOUN
ejpam-4780	261	12	-	-	PUNCT
ejpam-4780	261	13	forward	forward	NOUN
ejpam-4780	261	14	neural	neural	ADJ
ejpam-4780	261	15	networks	network	NOUN
ejpam-4780	261	16	.	.	PUNCT
ejpam-4780	262	1	lncs	lncs	PROPN
ejpam-4780	262	2	:	:	PUNCT
ejpam-4780	262	3	modeling	model	VERB
ejpam-4780	262	4	173	173	NUM
ejpam-4780	262	5	decisions	decision	NOUN
ejpam-4780	262	6	for	for	ADP
ejpam-4780	262	7	artificial	artificial	ADJ
ejpam-4780	262	8	intelligence	intelligence	NOUN
ejpam-4780	262	9	,	,	PUNCT
ejpam-4780	262	10	4617(springer	4617(springer	NUM
ejpam-4780	262	11	-	-	SYM
ejpam-4780	262	12	verlag):318–329	verlag):318–329	PROPN
ejpam-4780	262	13	,	,	PUNCT
ejpam-4780	262	14	2007	2007	NUM
ejpam-4780	262	15	.	.	PUNCT
ejpam-4780	263	1	[	[	X
ejpam-4780	263	2	18	18	NUM
ejpam-4780	263	3	]	]	X
ejpam-4780	263	4	james	james	PROPN
ejpam-4780	263	5	kennedy	kennedy	PROPN
ejpam-4780	263	6	and	and	CCONJ
ejpam-4780	263	7	russell	russell	PROPN
ejpam-4780	263	8	c.	c.	PROPN
ejpam-4780	263	9	eberhart	eberhart	PROPN
ejpam-4780	263	10	.	.	PUNCT
ejpam-4780	264	1	particle	particle	NOUN
ejpam-4780	264	2	swarm	swarm	NOUN
ejpam-4780	264	3	optimization	optimization	NOUN
ejpam-4780	264	4	.	.	PUNCT
ejpam-4780	265	1	in	in	ADP
ejpam-4780	265	2	proceedings	proceeding	NOUN
ejpam-4780	265	3	of	of	ADP
ejpam-4780	265	4	icnn’95	icnn’95	PROPN
ejpam-4780	265	5	international	international	ADJ
ejpam-4780	265	6	conference	conference	NOUN
ejpam-4780	265	7	on	on	ADP
ejpam-4780	265	8	neural	neural	ADJ
ejpam-4780	265	9	networks	network	NOUN
ejpam-4780	265	10	.	.	PUNCT
ejpam-4780	265	11	,	,	PUNCT
ejpam-4780	265	12	volume	volume	NOUN
ejpam-4780	265	13	4	4	NUM
ejpam-4780	265	14	,	,	PUNCT
ejpam-4780	265	15	pages	page	NOUN
ejpam-4780	265	16	1942	1942	NUM
ejpam-4780	265	17	–	–	PUNCT
ejpam-4780	265	18	1948	1948	NUM
ejpam-4780	265	19	vol.4	vol.4	PROPN
ejpam-4780	265	20	,	,	PUNCT
ejpam-4780	265	21	1995	1995	NUM
ejpam-4780	265	22	.	.	PUNCT
ejpam-4780	266	1	[	[	X
ejpam-4780	266	2	19	19	NUM
ejpam-4780	266	3	]	]	X
ejpam-4780	266	4	parvaneh	parvaneh	PROPN
ejpam-4780	266	5	mansouri	mansouri	PROPN
ejpam-4780	266	6	,	,	PUNCT
ejpam-4780	266	7	babak	babak	PROPN
ejpam-4780	266	8	asady	asady	NOUN
ejpam-4780	266	9	,	,	PUNCT
ejpam-4780	266	10	and	and	CCONJ
ejpam-4780	266	11	neelima	neelima	PROPN
ejpam-4780	266	12	gupta	gupta	PROPN
ejpam-4780	266	13	.	.	PUNCT
ejpam-4780	267	1	an	an	DET
ejpam-4780	267	2	approximation	approximation	NOUN
ejpam-4780	267	3	algorithm	algorithm	NOUN
ejpam-4780	267	4	for	for	ADP
ejpam-4780	267	5	fuzzy	fuzzy	ADJ
ejpam-4780	267	6	polynomial	polynomial	ADJ
ejpam-4780	267	7	interpolation	interpolation	NOUN
ejpam-4780	267	8	with	with	ADP
ejpam-4780	267	9	artificial	artificial	ADJ
ejpam-4780	267	10	bee	bee	NOUN
ejpam-4780	267	11	colony	colony	NOUN
ejpam-4780	267	12	algorithm	algorithm	NOUN
ejpam-4780	267	13	.	.	PUNCT
ejpam-4780	268	1	applied	apply	VERB
ejpam-4780	268	2	soft	soft	ADJ
ejpam-4780	268	3	computing	computing	NOUN
ejpam-4780	268	4	,	,	PUNCT
ejpam-4780	268	5	13:1997–2002	13:1997–2002	NUM
ejpam-4780	268	6	,	,	PUNCT
ejpam-4780	268	7	2013	2013	NUM
ejpam-4780	268	8	.	.	PUNCT
ejpam-4780	269	1	[	[	X
ejpam-4780	269	2	20	20	NUM
ejpam-4780	269	3	]	]	PUNCT
ejpam-4780	269	4	saeid	saeid	PROPN
ejpam-4780	269	5	mehrabian	mehrabian	PROPN
ejpam-4780	269	6	,	,	PUNCT
ejpam-4780	269	7	gholam	gholam	PROPN
ejpam-4780	269	8	r.	r.	PROPN
ejpam-4780	269	9	jahanshahloo	jahanshahloo	PROPN
ejpam-4780	269	10	,	,	PUNCT
ejpam-4780	269	11	mohammadreza	mohammadreza	NOUN
ejpam-4780	269	12	alirezaee	alirezaee	ADJ
ejpam-4780	269	13	,	,	PUNCT
ejpam-4780	269	14	and	and	CCONJ
ejpam-4780	269	15	gholam	gholam	PROPN
ejpam-4780	269	16	r.	r.	PROPN
ejpam-4780	269	17	amin	amin	PROPN
ejpam-4780	269	18	.	.	PUNCT
ejpam-4780	270	1	an	an	DET
ejpam-4780	270	2	assurance	assurance	NOUN
ejpam-4780	270	3	interval	interval	NOUN
ejpam-4780	270	4	for	for	ADP
ejpam-4780	270	5	the	the	DET
ejpam-4780	270	6	non	non	ADJ
ejpam-4780	270	7	-	-	ADJ
ejpam-4780	270	8	archimedean	archimedean	ADJ
ejpam-4780	270	9	epsilon	epsilon	PROPN
ejpam-4780	270	10	in	in	ADP
ejpam-4780	270	11	dea	dea	PROPN
ejpam-4780	270	12	models	model	NOUN
ejpam-4780	270	13	.	.	PUNCT
ejpam-4780	271	1	operations	operation	NOUN
ejpam-4780	271	2	research	research	NOUN
ejpam-4780	271	3	,	,	PUNCT
ejpam-4780	271	4	48(2):3444–3447	48(2):3444–3447	PROPN
ejpam-4780	271	5	,	,	PUNCT
ejpam-4780	271	6	2000	2000	NUM
ejpam-4780	271	7	.	.	PUNCT
ejpam-4780	272	1	[	[	X
ejpam-4780	272	2	21	21	NUM
ejpam-4780	272	3	]	]	X
ejpam-4780	272	4	victor	victor	PROPN
ejpam-4780	272	5	v.	v.	ADP
ejpam-4780	272	6	podinovski	podinovski	PROPN
ejpam-4780	272	7	and	and	CCONJ
ejpam-4780	272	8	tatiana	tatiana	PROPN
ejpam-4780	272	9	bouzdine	bouzdine	PROPN
ejpam-4780	272	10	-	-	PUNCT
ejpam-4780	272	11	chameeva	chameeva	PROPN
ejpam-4780	272	12	.	.	PUNCT
ejpam-4780	273	1	solving	solve	VERB
ejpam-4780	273	2	dea	dea	NOUN
ejpam-4780	273	3	models	model	NOUN
ejpam-4780	273	4	in	in	ADP
ejpam-4780	273	5	a	a	DET
ejpam-4780	273	6	single	single	ADJ
ejpam-4780	273	7	optimization	optimization	NOUN
ejpam-4780	273	8	stage	stage	NOUN
ejpam-4780	273	9	:	:	PUNCT
ejpam-4780	273	10	can	can	AUX
ejpam-4780	273	11	the	the	DET
ejpam-4780	273	12	non	non	ADJ
ejpam-4780	273	13	-	-	ADJ
ejpam-4780	273	14	archimedean	archimedean	ADJ
ejpam-4780	273	15	infinitesimal	infinitesimal	NOUN
ejpam-4780	273	16	be	be	AUX
ejpam-4780	273	17	replaced	replace	VERB
ejpam-4780	273	18	by	by	ADP
ejpam-4780	273	19	a	a	DET
ejpam-4780	273	20	small	small	ADJ
ejpam-4780	273	21	finite	finite	ADJ
ejpam-4780	273	22	epsilon	epsilon	PROPN
ejpam-4780	273	23	?	?	PUNCT
ejpam-4780	274	1	european	european	PROPN
ejpam-4780	274	2	journal	journal	PROPN
ejpam-4780	274	3	of	of	ADP
ejpam-4780	274	4	operational	operational	ADJ
ejpam-4780	274	5	research	research	NOUN
ejpam-4780	274	6	,	,	PUNCT
ejpam-4780	274	7	257(2):412–419	257(2):412–419	NUM
ejpam-4780	274	8	,	,	PUNCT
ejpam-4780	274	9	2017	2017	NUM
ejpam-4780	274	10	.	.	PUNCT
ejpam-4780	275	1	[	[	X
ejpam-4780	275	2	22	22	NUM
ejpam-4780	275	3	]	]	X
ejpam-4780	275	4	majid	majid	PROPN
ejpam-4780	275	5	soleimani	soleimani	PROPN
ejpam-4780	275	6	-	-	PUNCT
ejpam-4780	275	7	damaneh	damaneh	PROPN
ejpam-4780	275	8	and	and	CCONJ
ejpam-4780	275	9	amin	amin	PROPN
ejpam-4780	275	10	mostafaee	mostafaee	PROPN
ejpam-4780	275	11	.	.	PUNCT
ejpam-4780	276	1	stability	stability	NOUN
ejpam-4780	276	2	of	of	ADP
ejpam-4780	276	3	the	the	DET
ejpam-4780	276	4	classification	classification	NOUN
ejpam-4780	276	5	of	of	ADP
ejpam-4780	276	6	returns	return	NOUN
ejpam-4780	276	7	to	to	PART
ejpam-4780	276	8	scale	scale	VERB
ejpam-4780	276	9	in	in	ADP
ejpam-4780	276	10	fdh	fdh	PROPN
ejpam-4780	276	11	models	model	NOUN
ejpam-4780	276	12	.	.	PUNCT
ejpam-4780	277	1	european	european	ADJ
ejpam-4780	277	2	journal	journal	PROPN
ejpam-4780	277	3	of	of	ADP
ejpam-4780	277	4	operational	operational	ADJ
ejpam-4780	277	5	research	research	NOUN
ejpam-4780	277	6	,	,	PUNCT
ejpam-4780	277	7	196:1223	196:1223	NUM
ejpam-4780	277	8	–	–	PUNCT
ejpam-4780	277	9	1228	1228	NUM
ejpam-4780	277	10	,	,	PUNCT
ejpam-4780	277	11	2009	2009	NUM
ejpam-4780	277	12	.	.	PUNCT
ejpam-4780	278	1	[	[	X
ejpam-4780	278	2	23	23	NUM
ejpam-4780	278	3	]	]	PUNCT
ejpam-4780	278	4	rainer	rainer	NOUN
ejpam-4780	278	5	m.	m.	NOUN
ejpam-4780	278	6	storn	storn	PROPN
ejpam-4780	278	7	and	and	CCONJ
ejpam-4780	278	8	kenneth	kenneth	PROPN
ejpam-4780	278	9	price	price	PROPN
ejpam-4780	278	10	.	.	PUNCT
ejpam-4780	279	1	differential	differential	ADJ
ejpam-4780	279	2	evolution	evolution	NOUN
ejpam-4780	279	3	a	a	DET
ejpam-4780	279	4	simple	simple	ADJ
ejpam-4780	279	5	and	and	CCONJ
ejpam-4780	279	6	efficient	efficient	ADJ
ejpam-4780	279	7	heuristic	heuristic	NOUN
ejpam-4780	279	8	for	for	ADP
ejpam-4780	279	9	global	global	ADJ
ejpam-4780	279	10	optimization	optimization	NOUN
ejpam-4780	279	11	over	over	ADP
ejpam-4780	279	12	continuous	continuous	ADJ
ejpam-4780	279	13	.	.	PUNCT
ejpam-4780	280	1	journal	journal	PROPN
ejpam-4780	280	2	of	of	ADP
ejpam-4780	280	3	global	global	ADJ
ejpam-4780	280	4	optimization	optimization	NOUN
ejpam-4780	280	5	,	,	PUNCT
ejpam-4780	280	6	11:341–359	11:341–359	NUM
ejpam-4780	280	7	,	,	PUNCT
ejpam-4780	280	8	1997	1997	NUM
ejpam-4780	280	9	.	.	PUNCT
ejpam-4780	281	1	[	[	X
ejpam-4780	281	2	24	24	NUM
ejpam-4780	281	3	]	]	X
ejpam-4780	281	4	mehdi	mehdi	PROPN
ejpam-4780	281	5	toloo	toloo	NOUN
ejpam-4780	281	6	.	.	PUNCT
ejpam-4780	282	1	the	the	DET
ejpam-4780	282	2	role	role	NOUN
ejpam-4780	282	3	of	of	ADP
ejpam-4780	282	4	non	non	ADJ
ejpam-4780	282	5	-	-	ADJ
ejpam-4780	282	6	archimedean	archimedean	ADJ
ejpam-4780	282	7	epsilon	epsilon	PROPN
ejpam-4780	282	8	in	in	ADP
ejpam-4780	282	9	finding	find	VERB
ejpam-4780	282	10	the	the	DET
ejpam-4780	282	11	most	most	ADV
ejpam-4780	282	12	efficient	efficient	ADJ
ejpam-4780	282	13	unit	unit	NOUN
ejpam-4780	282	14	:	:	PUNCT
ejpam-4780	282	15	with	with	ADP
ejpam-4780	282	16	an	an	DET
ejpam-4780	282	17	application	application	NOUN
ejpam-4780	282	18	of	of	ADP
ejpam-4780	282	19	professional	professional	ADJ
ejpam-4780	282	20	tennis	tennis	NOUN
ejpam-4780	282	21	players	player	NOUN
ejpam-4780	282	22	.	.	PUNCT
ejpam-4780	283	1	applied	apply	VERB
ejpam-4780	283	2	mathematical	mathematical	ADJ
ejpam-4780	283	3	modelling	modelling	NOUN
ejpam-4780	283	4	,	,	PUNCT
ejpam-4780	283	5	38:5334–5346	38:5334–5346	NUM
ejpam-4780	283	6	,	,	PUNCT
ejpam-4780	283	7	2014	2014	NUM
ejpam-4780	283	8	.	.	PUNCT
ejpam-4780	284	1	[	[	X
ejpam-4780	284	2	25	25	NUM
ejpam-4780	284	3	]	]	X
ejpam-4780	284	4	mehdi	mehdi	PROPN
ejpam-4780	284	5	toloo	toloo	PROPN
ejpam-4780	284	6	,	,	PUNCT
ejpam-4780	284	7	bohlool	bohlool	NOUN
ejpam-4780	284	8	ebrahimi	ebrahimi	PROPN
ejpam-4780	284	9	,	,	PUNCT
ejpam-4780	284	10	and	and	CCONJ
ejpam-4780	284	11	gholam	gholam	PROPN
ejpam-4780	284	12	r.	r.	PROPN
ejpam-4780	284	13	amin	amin	PROPN
ejpam-4780	284	14	.	.	PUNCT
ejpam-4780	285	1	new	new	ADJ
ejpam-4780	285	2	data	datum	NOUN
ejpam-4780	285	3	envelopment	envelopment	ADJ
ejpam-4780	285	4	analysis	analysis	NOUN
ejpam-4780	285	5	models	model	NOUN
ejpam-4780	285	6	for	for	ADP
ejpam-4780	285	7	classifying	classify	VERB
ejpam-4780	285	8	flexible	flexible	ADJ
ejpam-4780	285	9	measures	measure	NOUN
ejpam-4780	285	10	:	:	PUNCT
ejpam-4780	285	11	the	the	DET
ejpam-4780	285	12	role	role	NOUN
ejpam-4780	285	13	of	of	ADP
ejpam-4780	285	14	non	non	ADJ
ejpam-4780	285	15	-	-	ADJ
ejpam-4780	285	16	archimedean	archimedean	ADJ
ejpam-4780	285	17	epsilon	epsilon	PROPN
ejpam-4780	285	18	.	.	PUNCT
ejpam-4780	286	1	european	european	PROPN
ejpam-4780	286	2	journal	journal	PROPN
ejpam-4780	286	3	of	of	ADP
ejpam-4780	286	4	operational	operational	ADJ
ejpam-4780	286	5	research	research	NOUN
ejpam-4780	286	6	,	,	PUNCT
ejpam-4780	286	7	292(3):1037–1050	292(3):1037–1050	PROPN
ejpam-4780	286	8	,	,	PUNCT
ejpam-4780	286	9	2021	2021	NUM
ejpam-4780	286	10	.	.	PUNCT
ejpam-4780	287	1	[	[	X
ejpam-4780	287	2	26	26	NUM
ejpam-4780	287	3	]	]	X
ejpam-4780	287	4	mehdi	mehdi	PROPN
ejpam-4780	287	5	toloo	toloo	PROPN
ejpam-4780	287	6	,	,	PUNCT
ejpam-4780	287	7	ameneh	ameneh	PROPN
ejpam-4780	287	8	zandi	zandi	PROPN
ejpam-4780	287	9	,	,	PUNCT
ejpam-4780	287	10	and	and	CCONJ
ejpam-4780	287	11	ali	ali	PROPN
ejpam-4780	287	12	emrouznejad	emrouznejad	PROPN
ejpam-4780	287	13	.	.	PUNCT
ejpam-4780	288	1	evaluation	evaluation	NOUN
ejpam-4780	288	2	efficiency	efficiency	NOUN
ejpam-4780	288	3	of	of	ADP
ejpam-4780	288	4	largescale	largescale	NOUN
ejpam-4780	288	5	data	datum	NOUN
ejpam-4780	288	6	set	set	VERB
ejpam-4780	288	7	with	with	ADP
ejpam-4780	288	8	negative	negative	ADJ
ejpam-4780	288	9	data	datum	NOUN
ejpam-4780	288	10	:	:	PUNCT
ejpam-4780	288	11	an	an	DET
ejpam-4780	288	12	artificial	artificial	ADJ
ejpam-4780	288	13	neural	neural	ADJ
ejpam-4780	288	14	network	network	NOUN
ejpam-4780	288	15	approach	approach	NOUN
ejpam-4780	288	16	.	.	PUNCT
ejpam-4780	289	1	the	the	DET
ejpam-4780	289	2	journal	journal	NOUN
ejpam-4780	289	3	of	of	ADP
ejpam-4780	289	4	supercomputing	supercomputing	NOUN
ejpam-4780	289	5	,	,	PUNCT
ejpam-4780	289	6	71(7):2397–2411	71(7):2397–2411	NOUN
ejpam-4780	289	7	,	,	PUNCT
ejpam-4780	289	8	2015	2015	NUM
ejpam-4780	289	9	.	.	PUNCT
ejpam-4780	290	1	[	[	X
ejpam-4780	290	2	27	27	NUM
ejpam-4780	290	3	]	]	X
ejpam-4780	290	4	kaoru	kaoru	PROPN
ejpam-4780	290	5	tone	tone	PROPN
ejpam-4780	290	6	and	and	CCONJ
ejpam-4780	290	7	miki	miki	PROPN
ejpam-4780	290	8	tsutsui	tsutsui	PROPN
ejpam-4780	290	9	.	.	PUNCT
ejpam-4780	291	1	an	an	DET
ejpam-4780	291	2	epsilon	epsilon	NOUN
ejpam-4780	291	3	-	-	PUNCT
ejpam-4780	291	4	based	base	VERB
ejpam-4780	291	5	measure	measure	NOUN
ejpam-4780	291	6	of	of	ADP
ejpam-4780	291	7	efficiency	efficiency	NOUN
ejpam-4780	291	8	in	in	ADP
ejpam-4780	291	9	dea	dea	PROPN
ejpam-4780	291	10	revisiteda	revisiteda	PROPN
ejpam-4780	291	11	third	third	ADJ
ejpam-4780	291	12	pole	pole	NOUN
ejpam-4780	291	13	of	of	ADP
ejpam-4780	291	14	technical	technical	ADJ
ejpam-4780	291	15	efficiency	efficiency	NOUN
ejpam-4780	291	16	.	.	PUNCT
ejpam-4780	292	1	european	european	ADJ
ejpam-4780	292	2	journal	journal	PROPN
ejpam-4780	292	3	of	of	ADP
ejpam-4780	292	4	operational	operational	ADJ
ejpam-4780	292	5	research	research	NOUN
ejpam-4780	292	6	,	,	PUNCT
ejpam-4780	292	7	207(3):1554–1563	207(3):1554–1563	NUM
ejpam-4780	292	8	,	,	PUNCT
ejpam-4780	292	9	2010	2010	NUM
ejpam-4780	292	10	.	.	PUNCT
ejpam-4780	293	1	[	[	X
ejpam-4780	293	2	28	28	NUM
ejpam-4780	293	3	]	]	X
ejpam-4780	293	4	yeboon	yeboon	PROPN
ejpam-4780	293	5	yun	yun	PROPN
ejpam-4780	293	6	,	,	PUNCT
ejpam-4780	293	7	hirotaka	hirotaka	NOUN
ejpam-4780	293	8	nakayama	nakayama	PROPN
ejpam-4780	293	9	,	,	PUNCT
ejpam-4780	293	10	and	and	CCONJ
ejpam-4780	293	11	min	min	PROPN
ejpam-4780	293	12	yoon	yoon	PROPN
ejpam-4780	293	13	.	.	PUNCT
ejpam-4780	294	1	generation	generation	NOUN
ejpam-4780	294	2	of	of	ADP
ejpam-4780	294	3	pareto	pareto	ADJ
ejpam-4780	294	4	optimal	optimal	ADJ
ejpam-4780	294	5	solutions	solution	NOUN
ejpam-4780	294	6	using	use	VERB
ejpam-4780	294	7	generalized	generalized	ADJ
ejpam-4780	294	8	dea	dea	NOUN
ejpam-4780	294	9	and	and	CCONJ
ejpam-4780	294	10	pso	pso	NOUN
ejpam-4780	294	11	.	.	PUNCT
ejpam-4780	295	1	journal	journal	PROPN
ejpam-4780	295	2	of	of	ADP
ejpam-4780	295	3	global	global	ADJ
ejpam-4780	295	4	optimization	optimization	NOUN
ejpam-4780	295	5	,	,	PUNCT
ejpam-4780	295	6	64(1):49–61	64(1):49–61	NUM
ejpam-4780	295	7	,	,	PUNCT
ejpam-4780	295	8	2016	2016	NUM
ejpam-4780	295	9	.	.	PUNCT