id	sid	tid	token	lemma	pos
bracis-28405	1	1	assessment	assessment	NOUN
bracis-28405	1	2	of	of	ADP
bracis-28405	1	3	robust	robust	ADJ
bracis-28405	1	4	multi	multi	ADJ
bracis-28405	1	5	-	-	ADJ
bracis-28405	1	6	objective	objective	ADJ
bracis-28405	1	7	evolutionary	evolutionary	ADJ
bracis-28405	1	8	algorithms	algorithm	NOUN
bracis-28405	1	9	on	on	ADP
bracis-28405	1	10	robust	robust	ADJ
bracis-28405	1	11	and	and	CCONJ
bracis-28405	1	12	noisy	noisy	ADJ
bracis-28405	1	13	environments	environment	NOUN
bracis-28405	1	14	|	|	ADV
bracis-28405	1	15	springer	springer	NOUN
bracis-28405	1	16	nature	nature	PROPN
bracis-28405	1	17	link	link	PROPN
bracis-28405	1	18	(	(	PUNCT
bracis-28405	1	19	formerly	formerly	ADV
bracis-28405	1	20	springerlink	springerlink	NOUN
bracis-28405	1	21	)	)	PUNCT
bracis-28405	1	22	skip	skip	VERB
bracis-28405	1	23	to	to	ADP
bracis-28405	1	24	main	main	ADJ
bracis-28405	1	25	content	content	NOUN
bracis-28405	1	26	advertisement	advertisement	NOUN
bracis-28405	1	27	log	log	NOUN
bracis-28405	1	28	in	in	ADP
bracis-28405	1	29	menu	menu	NOUN
bracis-28405	1	30	find	find	VERB
bracis-28405	1	31	a	a	DET
bracis-28405	1	32	journal	journal	NOUN
bracis-28405	1	33	publish	publish	VERB
bracis-28405	1	34	with	with	ADP
bracis-28405	1	35	us	we	PRON
bracis-28405	1	36	track	track	VERB
bracis-28405	1	37	your	your	PRON
bracis-28405	1	38	research	research	NOUN
bracis-28405	1	39	search	search	NOUN
bracis-28405	1	40	cart	cart	NOUN
bracis-28405	1	41	home	home	NOUN
bracis-28405	1	42	intelligent	intelligent	ADJ
bracis-28405	1	43	systems	system	NOUN
bracis-28405	1	44	conference	conference	NOUN
bracis-28405	1	45	paper	paper	NOUN
bracis-28405	1	46	assessment	assessment	NOUN
bracis-28405	1	47	of	of	ADP
bracis-28405	1	48	robust	robust	ADJ
bracis-28405	1	49	multi	multi	ADJ
bracis-28405	1	50	-	-	ADJ
bracis-28405	1	51	objective	objective	ADJ
bracis-28405	1	52	evolutionary	evolutionary	ADJ
bracis-28405	1	53	algorithms	algorithm	NOUN
bracis-28405	1	54	on	on	ADP
bracis-28405	1	55	robust	robust	ADJ
bracis-28405	1	56	and	and	CCONJ
bracis-28405	1	57	noisy	noisy	ADJ
bracis-28405	1	58	environments	environment	NOUN
bracis-28405	1	59	conference	conference	NOUN
bracis-28405	1	60	paper	paper	NOUN
bracis-28405	1	61	first	first	ADV
bracis-28405	1	62	online	online	ADV
bracis-28405	1	63	:	:	PUNCT
bracis-28405	1	64	12	12	NUM
bracis-28405	1	65	october	october	NOUN
bracis-28405	1	66	2023	2023	NUM
bracis-28405	1	67	pp	pp	ADP
bracis-28405	1	68	33–48	33–48	NUM
bracis-28405	1	69	cite	cite	VERB
bracis-28405	1	70	this	this	DET
bracis-28405	1	71	conference	conference	NOUN
bracis-28405	1	72	paper	paper	NOUN
bracis-28405	1	73	access	access	NOUN
bracis-28405	1	74	provided	provide	VERB
bracis-28405	1	75	by	by	ADP
bracis-28405	1	76	university	university	PROPN
bracis-28405	1	77	of	of	ADP
bracis-28405	1	78	notre	notre	PROPN
bracis-28405	1	79	dame	dame	PROPN
bracis-28405	1	80	hesburgh	hesburgh	PROPN
bracis-28405	1	81	library	library	PROPN
bracis-28405	1	82	download	download	PROPN
bracis-28405	1	83	book	book	NOUN
bracis-28405	1	84	pdf	pdf	PROPN
bracis-28405	1	85	download	download	NOUN
bracis-28405	1	86	book	book	NOUN
bracis-28405	1	87	epub	epub	PROPN
bracis-28405	1	88	intelligent	intelligent	ADJ
bracis-28405	1	89	systems	system	NOUN
bracis-28405	1	90	(	(	PUNCT
bracis-28405	1	91	bracis	bracis	NOUN
bracis-28405	1	92	2023	2023	NUM
bracis-28405	1	93	)	)	PUNCT
bracis-28405	1	94	assessment	assessment	NOUN
bracis-28405	1	95	of	of	ADP
bracis-28405	1	96	robust	robust	ADJ
bracis-28405	1	97	multi	multi	ADJ
bracis-28405	1	98	-	-	ADJ
bracis-28405	1	99	objective	objective	ADJ
bracis-28405	1	100	evolutionary	evolutionary	ADJ
bracis-28405	1	101	algorithms	algorithm	NOUN
bracis-28405	1	102	on	on	ADP
bracis-28405	1	103	robust	robust	ADJ
bracis-28405	1	104	and	and	CCONJ
bracis-28405	1	105	noisy	noisy	ADJ
bracis-28405	1	106	environments	environment	NOUN
bracis-28405	1	107	download	download	VERB
bracis-28405	1	108	book	book	NOUN
bracis-28405	1	109	pdf	pdf	PROPN
bracis-28405	1	110	download	download	NOUN
bracis-28405	1	111	book	book	PROPN
bracis-28405	1	112	epub	epub	PROPN
bracis-28405	1	113	mateus	mateus	PROPN
bracis-28405	1	114	clemente	clemente	PROPN
bracis-28405	1	115	de	de	PROPN
bracis-28405	1	116	sousa9,12	sousa9,12	PROPN
bracis-28405	1	117	,	,	PUNCT
bracis-28405	1	118	ivan	ivan	PROPN
bracis-28405	1	119	reinaldo	reinaldo	PROPN
bracis-28405	1	120	meneghini10,12	meneghini10,12	PROPN
bracis-28405	1	121	&	&	CCONJ
bracis-28405	1	122	frederico	frederico	PROPN
bracis-28405	1	123	gadelha	gadelha	VERB
bracis-28405	1	124	guimarães11,12	guimarães11,12	PROPN
bracis-28405	1	125	  	  	SPACE
bracis-28405	1	126	part	part	NOUN
bracis-28405	1	127	of	of	ADP
bracis-28405	1	128	the	the	DET
bracis-28405	1	129	book	book	NOUN
bracis-28405	1	130	series	series	NOUN
bracis-28405	1	131	:	:	PUNCT
bracis-28405	1	132	lecture	lecture	NOUN
bracis-28405	1	133	notes	note	NOUN
bracis-28405	1	134	in	in	ADP
bracis-28405	1	135	computer	computer	NOUN
bracis-28405	1	136	science	science	NOUN
bracis-28405	1	137	(	(	PUNCT
bracis-28405	1	138	(	(	PUNCT
bracis-28405	1	139	lnai	lnai	ADJ
bracis-28405	1	140	,	,	PUNCT
bracis-28405	1	141	volume	volume	NOUN
bracis-28405	1	142	14197	14197	NUM
bracis-28405	1	143	)	)	PUNCT
bracis-28405	1	144	)	)	PUNCT
bracis-28405	1	145	included	include	VERB
bracis-28405	1	146	in	in	ADP
bracis-28405	1	147	the	the	DET
bracis-28405	1	148	following	follow	VERB
bracis-28405	1	149	conference	conference	NOUN
bracis-28405	1	150	series	series	NOUN
bracis-28405	1	151	:	:	PUNCT
bracis-28405	1	152	brazilian	brazilian	ADJ
bracis-28405	1	153	conference	conference	NOUN
bracis-28405	1	154	on	on	ADP
bracis-28405	1	155	intelligent	intelligent	ADJ
bracis-28405	1	156	systems	system	NOUN
bracis-28405	1	157	528	528	NUM
bracis-28405	1	158	accesses	access	VERB
bracis-28405	1	159	2	2	NUM
bracis-28405	1	160	citations	citation	NOUN
bracis-28405	1	161	abstract	abstract	ADJ
bracis-28405	1	162	robust	robust	ADJ
bracis-28405	1	163	optimization	optimization	NOUN
bracis-28405	1	164	considers	consider	VERB
bracis-28405	1	165	uncertainty	uncertainty	NOUN
bracis-28405	1	166	in	in	ADP
bracis-28405	1	167	the	the	DET
bracis-28405	1	168	decision	decision	NOUN
bracis-28405	1	169	variables	variable	NOUN
bracis-28405	1	170	while	while	SCONJ
bracis-28405	1	171	noisy	noisy	ADJ
bracis-28405	1	172	optimization	optimization	NOUN
bracis-28405	1	173	concerns	concern	NOUN
bracis-28405	1	174	with	with	ADP
bracis-28405	1	175	uncertainty	uncertainty	NOUN
bracis-28405	1	176	in	in	ADP
bracis-28405	1	177	the	the	DET
bracis-28405	1	178	evaluation	evaluation	NOUN
bracis-28405	1	179	of	of	ADP
bracis-28405	1	180	objective	objective	ADJ
bracis-28405	1	181	and	and	CCONJ
bracis-28405	1	182	constraint	constraint	NOUN
bracis-28405	1	183	functions	function	NOUN
bracis-28405	1	184	.	.	PUNCT
bracis-28405	2	1	although	although	SCONJ
bracis-28405	2	2	many	many	ADJ
bracis-28405	2	3	evolutionary	evolutionary	ADJ
bracis-28405	2	4	algorithms	algorithm	NOUN
bracis-28405	2	5	have	have	AUX
bracis-28405	2	6	been	be	AUX
bracis-28405	2	7	proposed	propose	VERB
bracis-28405	2	8	to	to	PART
bracis-28405	2	9	deal	deal	VERB
bracis-28405	2	10	with	with	ADP
bracis-28405	2	11	robust	robust	ADJ
bracis-28405	2	12	or	or	CCONJ
bracis-28405	2	13	noisy	noisy	ADJ
bracis-28405	2	14	optimization	optimization	NOUN
bracis-28405	2	15	problems	problem	NOUN
bracis-28405	2	16	,	,	PUNCT
bracis-28405	2	17	the	the	DET
bracis-28405	2	18	research	research	NOUN
bracis-28405	2	19	question	question	NOUN
bracis-28405	2	20	approached	approach	VERB
bracis-28405	2	21	here	here	ADV
bracis-28405	2	22	is	be	AUX
bracis-28405	2	23	whether	whether	SCONJ
bracis-28405	2	24	these	these	DET
bracis-28405	2	25	methods	method	NOUN
bracis-28405	2	26	can	can	AUX
bracis-28405	2	27	deal	deal	VERB
bracis-28405	2	28	with	with	ADP
bracis-28405	2	29	both	both	DET
bracis-28405	2	30	types	type	NOUN
bracis-28405	2	31	of	of	ADP
bracis-28405	2	32	uncertainties	uncertainty	NOUN
bracis-28405	2	33	at	at	ADP
bracis-28405	2	34	the	the	DET
bracis-28405	2	35	same	same	ADJ
bracis-28405	2	36	time	time	NOUN
bracis-28405	2	37	.	.	PUNCT
bracis-28405	3	1	in	in	ADP
bracis-28405	3	2	order	order	NOUN
bracis-28405	3	3	to	to	PART
bracis-28405	3	4	answer	answer	VERB
bracis-28405	3	5	this	this	DET
bracis-28405	3	6	question	question	NOUN
bracis-28405	3	7	,	,	PUNCT
bracis-28405	3	8	we	we	PRON
bracis-28405	3	9	extend	extend	VERB
bracis-28405	3	10	a	a	DET
bracis-28405	3	11	test	test	NOUN
bracis-28405	3	12	function	function	NOUN
bracis-28405	3	13	generator	generator	NOUN
bracis-28405	3	14	available	available	ADJ
bracis-28405	3	15	in	in	ADP
bracis-28405	3	16	the	the	DET
bracis-28405	3	17	literature	literature	NOUN
bracis-28405	3	18	for	for	ADP
bracis-28405	3	19	multi	multi	ADJ
bracis-28405	3	20	-	-	ADJ
bracis-28405	3	21	objective	objective	ADJ
bracis-28405	3	22	optimization	optimization	NOUN
bracis-28405	3	23	to	to	PART
bracis-28405	3	24	incorporate	incorporate	VERB
bracis-28405	3	25	uncertainties	uncertainty	NOUN
bracis-28405	3	26	in	in	ADP
bracis-28405	3	27	the	the	DET
bracis-28405	3	28	decision	decision	NOUN
bracis-28405	3	29	variables	variable	NOUN
bracis-28405	3	30	and	and	CCONJ
bracis-28405	3	31	in	in	ADP
bracis-28405	3	32	the	the	DET
bracis-28405	3	33	objective	objective	ADJ
bracis-28405	3	34	functions	function	NOUN
bracis-28405	3	35	.	.	PUNCT
bracis-28405	4	1	it	it	PRON
bracis-28405	4	2	allows	allow	VERB
bracis-28405	4	3	the	the	DET
bracis-28405	4	4	creation	creation	NOUN
bracis-28405	4	5	of	of	ADP
bracis-28405	4	6	scalable	scalable	ADJ
bracis-28405	4	7	and	and	CCONJ
bracis-28405	4	8	customizable	customizable	ADJ
bracis-28405	4	9	problems	problem	NOUN
bracis-28405	4	10	for	for	ADP
bracis-28405	4	11	any	any	DET
bracis-28405	4	12	number	number	NOUN
bracis-28405	4	13	of	of	ADP
bracis-28405	4	14	objectives	objective	NOUN
bracis-28405	4	15	.	.	PUNCT
bracis-28405	5	1	three	three	NUM
bracis-28405	5	2	evolutionary	evolutionary	ADJ
bracis-28405	5	3	algorithms	algorithm	NOUN
bracis-28405	5	4	specifically	specifically	ADV
bracis-28405	5	5	designed	design	VERB
bracis-28405	5	6	for	for	ADP
bracis-28405	5	7	robust	robust	ADJ
bracis-28405	5	8	or	or	CCONJ
bracis-28405	5	9	noisy	noisy	ADJ
bracis-28405	5	10	optimization	optimization	NOUN
bracis-28405	5	11	were	be	AUX
bracis-28405	5	12	selected	select	VERB
bracis-28405	5	13	:	:	PUNCT
bracis-28405	6	1	rnsga	rnsga	PROPN
bracis-28405	6	2	-	-	PUNCT
bracis-28405	6	3	ii	ii	PROPN
bracis-28405	6	4	and	and	CCONJ
bracis-28405	6	5	rmoea	rmoea	PROPN
bracis-28405	6	6	/	/	SYM
bracis-28405	6	7	d	d	NOUN
bracis-28405	6	8	,	,	PUNCT
bracis-28405	6	9	which	which	PRON
bracis-28405	6	10	utilize	utilize	VERB
bracis-28405	6	11	monte	monte	PROPN
bracis-28405	6	12	carlo	carlo	NOUN
bracis-28405	6	13	sampling	sampling	NOUN
bracis-28405	6	14	,	,	PUNCT
bracis-28405	6	15	and	and	CCONJ
bracis-28405	6	16	the	the	DET
bracis-28405	6	17	c	c	NOUN
bracis-28405	6	18	-	-	PUNCT
bracis-28405	6	19	rmoea	rmoea	NOUN
bracis-28405	6	20	/	/	SYM
bracis-28405	6	21	d	d	NOUN
bracis-28405	6	22	,	,	PUNCT
bracis-28405	6	23	which	which	PRON
bracis-28405	6	24	is	be	AUX
bracis-28405	6	25	a	a	DET
bracis-28405	6	26	coevolutionary	coevolutionary	ADJ
bracis-28405	6	27	moea	moea	NOUN
bracis-28405	6	28	/	/	SYM
bracis-28405	6	29	d	d	NOUN
bracis-28405	6	30	that	that	PRON
bracis-28405	6	31	uses	use	VERB
bracis-28405	6	32	a	a	DET
bracis-28405	6	33	deterministic	deterministic	ADJ
bracis-28405	6	34	robustness	robustness	NOUN
bracis-28405	6	35	measure	measure	NOUN
bracis-28405	6	36	.	.	PUNCT
bracis-28405	7	1	we	we	PRON
bracis-28405	7	2	did	do	VERB
bracis-28405	7	3	experiments	experiment	NOUN
bracis-28405	7	4	with	with	ADP
bracis-28405	7	5	these	these	DET
bracis-28405	7	6	algorithms	algorithm	NOUN
bracis-28405	7	7	on	on	ADP
bracis-28405	7	8	multi	multi	ADJ
bracis-28405	7	9	-	-	ADJ
bracis-28405	7	10	objective	objective	ADJ
bracis-28405	7	11	problems	problem	NOUN
bracis-28405	7	12	with	with	ADP
bracis-28405	7	13	(	(	PUNCT
bracis-28405	7	14	i	i	NOUN
bracis-28405	7	15	)	)	PUNCT
bracis-28405	7	16	uncertainty	uncertainty	NOUN
bracis-28405	7	17	in	in	ADP
bracis-28405	7	18	the	the	DET
bracis-28405	7	19	decision	decision	NOUN
bracis-28405	7	20	variables	variable	NOUN
bracis-28405	7	21	,	,	PUNCT
bracis-28405	7	22	(	(	PUNCT
bracis-28405	7	23	ii	ii	NOUN
bracis-28405	7	24	)	)	PUNCT
bracis-28405	7	25	noise	noise	NOUN
bracis-28405	7	26	in	in	ADP
bracis-28405	7	27	the	the	DET
bracis-28405	7	28	output	output	NOUN
bracis-28405	7	29	,	,	PUNCT
bracis-28405	7	30	and	and	CCONJ
bracis-28405	7	31	(	(	PUNCT
bracis-28405	7	32	iii	iii	NOUN
bracis-28405	7	33	)	)	PUNCT
bracis-28405	7	34	with	with	ADP
bracis-28405	7	35	both	both	CCONJ
bracis-28405	7	36	robust	robust	ADJ
bracis-28405	7	37	and	and	CCONJ
bracis-28405	7	38	noisy	noisy	ADJ
bracis-28405	7	39	problems	problem	NOUN
bracis-28405	7	40	.	.	PUNCT
bracis-28405	8	1	the	the	DET
bracis-28405	8	2	results	result	NOUN
bracis-28405	8	3	show	show	VERB
bracis-28405	8	4	that	that	SCONJ
bracis-28405	8	5	these	these	DET
bracis-28405	8	6	algorithms	algorithm	NOUN
bracis-28405	8	7	are	be	AUX
bracis-28405	8	8	not	not	PART
bracis-28405	8	9	able	able	ADJ
bracis-28405	8	10	to	to	PART
bracis-28405	8	11	deal	deal	VERB
bracis-28405	8	12	with	with	ADP
bracis-28405	8	13	simultaneous	simultaneous	ADJ
bracis-28405	8	14	uncertainties	uncertainty	NOUN
bracis-28405	8	15	(	(	PUNCT
bracis-28405	8	16	noise	noise	NOUN
bracis-28405	8	17	and	and	CCONJ
bracis-28405	8	18	perturbation	perturbation	NOUN
bracis-28405	8	19	)	)	PUNCT
bracis-28405	8	20	.	.	PUNCT
bracis-28405	9	1	therefore	therefore	ADV
bracis-28405	9	2	,	,	PUNCT
bracis-28405	9	3	there	there	PRON
bracis-28405	9	4	is	be	VERB
bracis-28405	9	5	a	a	DET
bracis-28405	9	6	need	need	NOUN
bracis-28405	9	7	for	for	ADP
bracis-28405	9	8	designing	design	VERB
bracis-28405	9	9	algorithms	algorithm	NOUN
bracis-28405	9	10	to	to	PART
bracis-28405	9	11	deal	deal	VERB
bracis-28405	9	12	with	with	ADP
bracis-28405	9	13	simultaneously	simultaneously	ADV
bracis-28405	9	14	robust	robust	ADJ
bracis-28405	9	15	and	and	CCONJ
bracis-28405	9	16	noisy	noisy	ADJ
bracis-28405	9	17	environments	environment	NOUN
bracis-28405	9	18	.	.	PUNCT
bracis-28405	10	1	access	access	NOUN
bracis-28405	10	2	provided	provide	VERB
bracis-28405	10	3	by	by	ADP
bracis-28405	10	4	university	university	PROPN
bracis-28405	10	5	of	of	ADP
bracis-28405	10	6	notre	notre	PROPN
bracis-28405	10	7	dame	dame	PROPN
bracis-28405	10	8	hesburgh	hesburgh	PROPN
bracis-28405	10	9	library	library	PROPN
bracis-28405	10	10	.	.	PUNCT
bracis-28405	11	1	download	download	PROPN
bracis-28405	11	2	conference	conference	NOUN
bracis-28405	11	3	paper	paper	NOUN
bracis-28405	11	4	pdf	pdf	NOUN
bracis-28405	11	5	similar	similar	ADJ
bracis-28405	11	6	content	content	NOUN
bracis-28405	11	7	being	be	AUX
bracis-28405	11	8	viewed	view	VERB
bracis-28405	11	9	by	by	ADP
bracis-28405	11	10	others	other	NOUN
bracis-28405	11	11	a	a	DET
bracis-28405	11	12	clustering	clustering	NOUN
bracis-28405	11	13	-	-	PUNCT
bracis-28405	11	14	based	base	VERB
bracis-28405	11	15	coevolutionary	coevolutionary	NOUN
bracis-28405	11	16	multi	multi	ADJ
bracis-28405	11	17	-	-	ADJ
bracis-28405	11	18	objective	objective	ADJ
bracis-28405	11	19	evolutionary	evolutionary	ADJ
bracis-28405	11	20	algorithm	algorithm	NOUN
bracis-28405	11	21	for	for	ADP
bracis-28405	11	22	handling	handle	VERB
bracis-28405	11	23	robust	robust	ADJ
bracis-28405	11	24	and	and	CCONJ
bracis-28405	11	25	noisy	noisy	ADJ
bracis-28405	11	26	optimization	optimization	NOUN
bracis-28405	11	27	article	article	NOUN
bracis-28405	11	28	24	24	NUM
bracis-28405	11	29	june	june	PROPN
bracis-28405	11	30	2024	2024	NUM
bracis-28405	11	31	a	a	DET
bracis-28405	11	32	novel	novel	ADJ
bracis-28405	11	33	robust	robust	ADJ
bracis-28405	11	34	multi	multi	ADJ
bracis-28405	11	35	-	-	ADJ
bracis-28405	11	36	objective	objective	ADJ
bracis-28405	11	37	evolutionary	evolutionary	ADJ
bracis-28405	11	38	optimization	optimization	NOUN
bracis-28405	11	39	algorithm	algorithm	NOUN
bracis-28405	11	40	based	base	VERB
bracis-28405	11	41	on	on	ADP
bracis-28405	11	42	surviving	survive	VERB
bracis-28405	11	43	rate	rate	NOUN
bracis-28405	11	44	article	article	NOUN
bracis-28405	11	45	open	open	ADJ
bracis-28405	11	46	access	access	NOUN
bracis-28405	11	47	28	28	NUM
bracis-28405	11	48	february	february	PROPN
bracis-28405	11	49	2025	2025	NUM
bracis-28405	11	50	variation	variation	NOUN
bracis-28405	11	51	rate	rate	NOUN
bracis-28405	11	52	:	:	PUNCT
bracis-28405	11	53	an	an	DET
bracis-28405	11	54	alternative	alternative	NOUN
bracis-28405	11	55	to	to	PART
bracis-28405	11	56	maintain	maintain	VERB
bracis-28405	11	57	diversity	diversity	NOUN
bracis-28405	11	58	in	in	ADP
bracis-28405	11	59	decision	decision	NOUN
bracis-28405	11	60	space	space	NOUN
bracis-28405	11	61	for	for	ADP
bracis-28405	11	62	multi	multi	ADJ
bracis-28405	11	63	-	-	ADJ
bracis-28405	11	64	objective	objective	ADJ
bracis-28405	11	65	evolutionary	evolutionary	ADJ
bracis-28405	11	66	algorithms	algorithm	NOUN
bracis-28405	11	67	chapter	chapter	NOUN
bracis-28405	11	68	©	©	PROPN
bracis-28405	11	69	2019	2019	NUM
bracis-28405	11	70	explore	explore	VERB
bracis-28405	11	71	related	relate	VERB
bracis-28405	11	72	subjects	subject	NOUN
bracis-28405	11	73	discover	discover	VERB
bracis-28405	11	74	the	the	DET
bracis-28405	11	75	latest	late	ADJ
bracis-28405	11	76	articles	article	NOUN
bracis-28405	11	77	,	,	PUNCT
bracis-28405	11	78	books	book	NOUN
bracis-28405	11	79	and	and	CCONJ
bracis-28405	11	80	news	news	NOUN
bracis-28405	11	81	in	in	ADP
bracis-28405	11	82	related	related	ADJ
bracis-28405	11	83	subjects	subject	NOUN
bracis-28405	11	84	,	,	PUNCT
bracis-28405	11	85	suggested	suggest	VERB
bracis-28405	11	86	using	use	VERB
bracis-28405	11	87	machine	machine	NOUN
bracis-28405	11	88	learning	learning	NOUN
bracis-28405	11	89	.	.	PUNCT
bracis-28405	12	1	computational	computational	ADJ
bracis-28405	12	2	methods	method	NOUN
bracis-28405	12	3	for	for	ADP
bracis-28405	12	4	stochastic	stochastic	ADJ
bracis-28405	12	5	equations	equation	NOUN
bracis-28405	12	6	continuous	continuous	ADJ
bracis-28405	12	7	optimization	optimization	NOUN
bracis-28405	12	8	optimization	optimization	NOUN
bracis-28405	12	9	system	system	NOUN
bracis-28405	12	10	robustness	robustness	NOUN
bracis-28405	12	11	calculus	calculus	NOUN
bracis-28405	12	12	of	of	ADP
bracis-28405	12	13	variations	variation	NOUN
bracis-28405	12	14	and	and	CCONJ
bracis-28405	12	15	optimization	optimization	NOUN
bracis-28405	12	16	probabilistic	probabilistic	ADJ
bracis-28405	12	17	methods	method	NOUN
bracis-28405	12	18	,	,	PUNCT
bracis-28405	12	19	simulation	simulation	NOUN
bracis-28405	12	20	and	and	CCONJ
bracis-28405	12	21	stochastic	stochastic	ADJ
bracis-28405	12	22	differential	differential	ADJ
bracis-28405	12	23	equations	equation	NOUN
bracis-28405	12	24	1	1	NUM
bracis-28405	12	25	introduction	introduction	NOUN
bracis-28405	12	26	uncertainties	uncertainty	NOUN
bracis-28405	12	27	exist	exist	VERB
bracis-28405	12	28	in	in	ADP
bracis-28405	12	29	the	the	DET
bracis-28405	12	30	real	real	ADJ
bracis-28405	12	31	world	world	NOUN
bracis-28405	12	32	,	,	PUNCT
bracis-28405	12	33	such	such	ADJ
bracis-28405	12	34	as	as	ADP
bracis-28405	12	35	in	in	ADP
bracis-28405	12	36	the	the	DET
bracis-28405	12	37	measurement	measurement	NOUN
bracis-28405	12	38	system	system	NOUN
bracis-28405	12	39	or	or	CCONJ
bracis-28405	12	40	final	final	ADJ
bracis-28405	12	41	control	control	NOUN
bracis-28405	12	42	element	element	NOUN
bracis-28405	12	43	.	.	PUNCT
bracis-28405	13	1	the	the	DET
bracis-28405	13	2	search	search	NOUN
bracis-28405	13	3	for	for	ADP
bracis-28405	13	4	optimal	optimal	ADJ
bracis-28405	13	5	solutions	solution	NOUN
bracis-28405	13	6	in	in	ADP
bracis-28405	13	7	the	the	DET
bracis-28405	13	8	presence	presence	NOUN
bracis-28405	13	9	of	of	ADP
bracis-28405	13	10	uncertainties	uncertainty	NOUN
bracis-28405	13	11	is	be	AUX
bracis-28405	13	12	often	often	ADV
bracis-28405	13	13	referred	refer	VERB
bracis-28405	13	14	to	to	ADP
bracis-28405	13	15	as	as	ADP
bracis-28405	13	16	robust	robust	ADJ
bracis-28405	13	17	optimization	optimization	NOUN
bracis-28405	13	18	in	in	ADP
bracis-28405	13	19	the	the	DET
bracis-28405	13	20	literature	literature	NOUN
bracis-28405	13	21	[	[	X
bracis-28405	13	22	3	3	NUM
bracis-28405	13	23	,	,	PUNCT
bracis-28405	13	24	4	4	NUM
bracis-28405	13	25	,	,	PUNCT
bracis-28405	13	26	9	9	NUM
bracis-28405	13	27	,	,	PUNCT
bracis-28405	13	28	11	11	NUM
bracis-28405	13	29	]	]	PUNCT
bracis-28405	13	30	.	.	PUNCT
bracis-28405	14	1	however	however	ADV
bracis-28405	14	2	,	,	PUNCT
bracis-28405	14	3	the	the	DET
bracis-28405	14	4	term	term	NOUN
bracis-28405	14	5	robust	robust	ADJ
bracis-28405	14	6	optimization	optimization	NOUN
bracis-28405	14	7	can	can	AUX
bracis-28405	14	8	be	be	AUX
bracis-28405	14	9	used	use	VERB
bracis-28405	14	10	to	to	PART
bracis-28405	14	11	encompass	encompass	VERB
bracis-28405	14	12	uncertainties	uncertainty	NOUN
bracis-28405	14	13	in	in	ADP
bracis-28405	14	14	both	both	CCONJ
bracis-28405	14	15	the	the	DET
bracis-28405	14	16	decision	decision	NOUN
bracis-28405	14	17	variables	variable	NOUN
bracis-28405	14	18	and	and	CCONJ
bracis-28405	14	19	the	the	DET
bracis-28405	14	20	parameters	parameter	NOUN
bracis-28405	14	21	of	of	ADP
bracis-28405	14	22	the	the	DET
bracis-28405	14	23	problem	problem	NOUN
bracis-28405	14	24	,	,	PUNCT
bracis-28405	14	25	as	as	SCONJ
bracis-28405	14	26	discussed	discuss	VERB
bracis-28405	14	27	by	by	ADP
bracis-28405	14	28	ben	ben	PROPN
bracis-28405	14	29	-	-	PROPN
bracis-28405	14	30	tal	tal	PROPN
bracis-28405	14	31	,	,	PUNCT
bracis-28405	14	32	el	el	PROPN
bracis-28405	14	33	ghaoui	ghaoui	ADJ
bracis-28405	14	34	,	,	PUNCT
bracis-28405	14	35	and	and	CCONJ
bracis-28405	14	36	nemirovski	nemirovski	VERB
bracis-28405	14	37	in	in	ADP
bracis-28405	14	38	their	their	PRON
bracis-28405	14	39	book	book	NOUN
bracis-28405	14	40	on	on	ADP
bracis-28405	14	41	robust	robust	ADJ
bracis-28405	14	42	optimization	optimization	NOUN
bracis-28405	14	43	[	[	X
bracis-28405	14	44	2	2	NUM
bracis-28405	14	45	]	]	PUNCT
bracis-28405	14	46	.	.	PUNCT
bracis-28405	15	1	this	this	PRON
bracis-28405	15	2	includes	include	VERB
bracis-28405	15	3	considering	consider	VERB
bracis-28405	15	4	uncertainty	uncertainty	NOUN
bracis-28405	15	5	in	in	ADP
bracis-28405	15	6	the	the	DET
bracis-28405	15	7	input	input	NOUN
bracis-28405	15	8	of	of	ADP
bracis-28405	15	9	the	the	DET
bracis-28405	15	10	mathematical	mathematical	ADJ
bracis-28405	15	11	model	model	NOUN
bracis-28405	15	12	of	of	ADP
bracis-28405	15	13	the	the	DET
bracis-28405	15	14	optimization	optimization	NOUN
bracis-28405	15	15	problem	problem	NOUN
bracis-28405	15	16	.	.	PUNCT
bracis-28405	16	1	in	in	ADP
bracis-28405	16	2	this	this	DET
bracis-28405	16	3	article	article	NOUN
bracis-28405	16	4	,	,	PUNCT
bracis-28405	16	5	our	our	PRON
bracis-28405	16	6	focus	focus	NOUN
bracis-28405	16	7	is	be	AUX
bracis-28405	16	8	specifically	specifically	ADV
bracis-28405	16	9	on	on	ADP
bracis-28405	16	10	uncertainties	uncertainty	NOUN
bracis-28405	16	11	in	in	ADP
bracis-28405	16	12	the	the	DET
bracis-28405	16	13	decision	decision	NOUN
bracis-28405	16	14	variables	variable	NOUN
bracis-28405	16	15	,	,	PUNCT
bracis-28405	16	16	referred	refer	VERB
bracis-28405	16	17	to	to	ADP
bracis-28405	16	18	as	as	ADP
bracis-28405	16	19	perturbations	perturbation	NOUN
bracis-28405	16	20	within	within	ADP
bracis-28405	16	21	the	the	DET
bracis-28405	16	22	context	context	NOUN
bracis-28405	16	23	of	of	ADP
bracis-28405	16	24	robust	robust	ADJ
bracis-28405	16	25	optimization	optimization	NOUN
bracis-28405	16	26	.	.	PUNCT
bracis-28405	17	1	on	on	ADP
bracis-28405	17	2	the	the	DET
bracis-28405	17	3	other	other	ADJ
bracis-28405	17	4	hand	hand	NOUN
bracis-28405	17	5	,	,	PUNCT
bracis-28405	17	6	uncertainties	uncertainty	NOUN
bracis-28405	17	7	in	in	ADP
bracis-28405	17	8	the	the	DET
bracis-28405	17	9	objective	objective	ADJ
bracis-28405	17	10	functions	function	NOUN
bracis-28405	17	11	,	,	PUNCT
bracis-28405	17	12	which	which	PRON
bracis-28405	17	13	pertain	pertain	VERB
bracis-28405	17	14	to	to	ADP
bracis-28405	17	15	the	the	DET
bracis-28405	17	16	output	output	NOUN
bracis-28405	17	17	of	of	ADP
bracis-28405	17	18	the	the	DET
bracis-28405	17	19	process	process	NOUN
bracis-28405	17	20	,	,	PUNCT
bracis-28405	17	21	are	be	AUX
bracis-28405	17	22	referred	refer	VERB
bracis-28405	17	23	to	to	ADP
bracis-28405	17	24	as	as	ADP
bracis-28405	17	25	noise	noise	NOUN
bracis-28405	17	26	within	within	ADP
bracis-28405	17	27	the	the	DET
bracis-28405	17	28	context	context	NOUN
bracis-28405	17	29	of	of	ADP
bracis-28405	17	30	noisy	noisy	ADJ
bracis-28405	17	31	optimization	optimization	NOUN
bracis-28405	17	32	.	.	PUNCT
bracis-28405	18	1	figure	figure	NOUN
bracis-28405	18	2	 	 	SPACE
bracis-28405	18	3	1	1	NUM
bracis-28405	18	4	illustrates	illustrate	VERB
bracis-28405	18	5	these	these	DET
bracis-28405	18	6	definitions	definition	NOUN
bracis-28405	18	7	and	and	CCONJ
bracis-28405	18	8	the	the	DET
bracis-28405	18	9	distinctions	distinction	NOUN
bracis-28405	18	10	between	between	ADP
bracis-28405	18	11	noisy	noisy	ADJ
bracis-28405	18	12	and	and	CCONJ
bracis-28405	18	13	robust	robust	ADJ
bracis-28405	18	14	optimization	optimization	NOUN
bracis-28405	18	15	.	.	PUNCT
bracis-28405	19	1	fig	fig	NOUN
bracis-28405	19	2	.	.	PUNCT
bracis-28405	20	1	1	1	X
bracis-28405	20	2	.	.	X
bracis-28405	20	3	robust	robust	ADJ
bracis-28405	20	4	optimization	optimization	NOUN
bracis-28405	20	5	(	(	PUNCT
bracis-28405	20	6	perturbation	perturbation	NOUN
bracis-28405	20	7	in	in	ADP
bracis-28405	20	8	the	the	DET
bracis-28405	20	9	decision	decision	NOUN
bracis-28405	20	10	variables	variable	NOUN
bracis-28405	20	11	/	/	SYM
bracis-28405	20	12	parameters	parameter	NOUN
bracis-28405	20	13	)	)	PUNCT
bracis-28405	20	14	versus	versus	ADP
bracis-28405	20	15	noisy	noisy	ADJ
bracis-28405	20	16	optimization	optimization	NOUN
bracis-28405	20	17	(	(	PUNCT
bracis-28405	20	18	noise	noise	NOUN
bracis-28405	20	19	in	in	ADP
bracis-28405	20	20	the	the	DET
bracis-28405	20	21	function	function	NOUN
bracis-28405	20	22	output	output	NOUN
bracis-28405	20	23	)	)	PUNCT
bracis-28405	20	24	.	.	PUNCT
bracis-28405	21	1	full	full	ADJ
bracis-28405	21	2	size	size	NOUN
bracis-28405	21	3	image	image	NOUN
bracis-28405	21	4	real	real	ADJ
bracis-28405	21	5	optimization	optimization	NOUN
bracis-28405	21	6	problems	problem	NOUN
bracis-28405	21	7	can	can	AUX
bracis-28405	21	8	have	have	VERB
bracis-28405	21	9	different	different	ADJ
bracis-28405	21	10	types	type	NOUN
bracis-28405	21	11	of	of	ADP
bracis-28405	21	12	uncertainties	uncertainty	NOUN
bracis-28405	21	13	.	.	PUNCT
bracis-28405	22	1	these	these	DET
bracis-28405	22	2	uncertainties	uncertainty	NOUN
bracis-28405	22	3	can	can	AUX
bracis-28405	22	4	prevent	prevent	VERB
bracis-28405	22	5	the	the	DET
bracis-28405	22	6	implementation	implementation	NOUN
bracis-28405	22	7	of	of	ADP
bracis-28405	22	8	practical	practical	ADJ
bracis-28405	22	9	solutions	solution	NOUN
bracis-28405	22	10	if	if	SCONJ
bracis-28405	22	11	not	not	PART
bracis-28405	22	12	taken	take	VERB
bracis-28405	22	13	into	into	ADP
bracis-28405	22	14	account	account	NOUN
bracis-28405	22	15	.	.	PUNCT
bracis-28405	23	1	the	the	DET
bracis-28405	23	2	designer	designer	NOUN
bracis-28405	23	3	(	(	PUNCT
bracis-28405	23	4	optimizer	optimizer	NOUN
bracis-28405	23	5	)	)	PUNCT
bracis-28405	23	6	therefore	therefore	ADV
bracis-28405	23	7	faces	face	VERB
bracis-28405	23	8	the	the	DET
bracis-28405	23	9	challenge	challenge	NOUN
bracis-28405	23	10	of	of	ADP
bracis-28405	23	11	finding	find	VERB
bracis-28405	23	12	solutions	solution	NOUN
bracis-28405	23	13	that	that	PRON
bracis-28405	23	14	are	be	AUX
bracis-28405	23	15	less	less	ADV
bracis-28405	23	16	sensitive	sensitive	ADJ
bracis-28405	23	17	to	to	ADP
bracis-28405	23	18	uncertainties	uncertainty	NOUN
bracis-28405	23	19	.	.	PUNCT
bracis-28405	24	1	optimization	optimization	NOUN
bracis-28405	24	2	with	with	ADP
bracis-28405	24	3	uncertainty	uncertainty	NOUN
bracis-28405	24	4	is	be	AUX
bracis-28405	24	5	a	a	DET
bracis-28405	24	6	relatively	relatively	ADV
bracis-28405	24	7	new	new	ADJ
bracis-28405	24	8	and	and	CCONJ
bracis-28405	24	9	rapidly	rapidly	ADV
bracis-28405	24	10	growing	grow	VERB
bracis-28405	24	11	research	research	NOUN
bracis-28405	24	12	field	field	NOUN
bracis-28405	24	13	that	that	PRON
bracis-28405	24	14	has	have	AUX
bracis-28405	24	15	gained	gain	VERB
bracis-28405	24	16	significant	significant	ADJ
bracis-28405	24	17	attention	attention	NOUN
bracis-28405	24	18	in	in	ADP
bracis-28405	24	19	the	the	DET
bracis-28405	24	20	past	past	ADJ
bracis-28405	24	21	decade	decade	NOUN
bracis-28405	24	22	[	[	X
bracis-28405	24	23	10	10	NUM
bracis-28405	24	24	]	]	PUNCT
bracis-28405	24	25	.	.	PUNCT
bracis-28405	25	1	some	some	PRON
bracis-28405	25	2	works	work	VERB
bracis-28405	25	3	with	with	ADP
bracis-28405	25	4	applications	application	NOUN
bracis-28405	25	5	using	use	VERB
bracis-28405	25	6	optimization	optimization	NOUN
bracis-28405	25	7	under	under	ADP
bracis-28405	25	8	uncertainties	uncertainty	NOUN
bracis-28405	25	9	are	be	AUX
bracis-28405	25	10	[	[	X
bracis-28405	25	11	1	1	NUM
bracis-28405	25	12	,	,	PUNCT
bracis-28405	25	13	7	7	NUM
bracis-28405	25	14	,	,	PUNCT
bracis-28405	25	15	12	12	NUM
bracis-28405	25	16	,	,	PUNCT
bracis-28405	25	17	17	17	NUM
bracis-28405	25	18	,	,	PUNCT
bracis-28405	25	19	20	20	NUM
bracis-28405	25	20	,	,	PUNCT
bracis-28405	25	21	25	25	NUM
bracis-28405	25	22	]	]	PUNCT
bracis-28405	25	23	.	.	PUNCT
bracis-28405	26	1	examples	example	NOUN
bracis-28405	26	2	of	of	ADP
bracis-28405	26	3	uncertainties	uncertainty	NOUN
bracis-28405	26	4	include	include	VERB
bracis-28405	26	5	noise	noise	NOUN
bracis-28405	26	6	,	,	PUNCT
bracis-28405	26	7	model	model	NOUN
bracis-28405	26	8	inaccuracies	inaccuracy	NOUN
bracis-28405	26	9	,	,	PUNCT
bracis-28405	26	10	time	time	NOUN
bracis-28405	26	11	variations	variation	NOUN
bracis-28405	26	12	,	,	PUNCT
bracis-28405	26	13	measurement	measurement	NOUN
bracis-28405	26	14	inaccuracies	inaccuracy	NOUN
bracis-28405	26	15	,	,	PUNCT
bracis-28405	26	16	disturbances	disturbance	NOUN
bracis-28405	26	17	,	,	PUNCT
bracis-28405	26	18	and	and	CCONJ
bracis-28405	26	19	other	other	ADJ
bracis-28405	26	20	uncontrolled	uncontrolled	ADJ
bracis-28405	26	21	factors	factor	NOUN
bracis-28405	26	22	that	that	PRON
bracis-28405	26	23	can	can	AUX
bracis-28405	26	24	degrade	degrade	VERB
bracis-28405	26	25	the	the	DET
bracis-28405	26	26	performance	performance	NOUN
bracis-28405	26	27	of	of	ADP
bracis-28405	26	28	the	the	DET
bracis-28405	26	29	designed	design	VERB
bracis-28405	26	30	solutions	solution	NOUN
bracis-28405	26	31	[	[	X
bracis-28405	26	32	19	19	NUM
bracis-28405	26	33	]	]	PUNCT
bracis-28405	26	34	.	.	PUNCT
bracis-28405	27	1	recently	recently	ADV
bracis-28405	27	2	,	,	PUNCT
bracis-28405	27	3	shaaban	shaaban	ADJ
bracis-28405	27	4	sahmoud	sahmoud	NOUN
bracis-28405	27	5	and	and	CCONJ
bracis-28405	27	6	haluk	haluk	PROPN
bracis-28405	27	7	rahm	rahm	PROPN
bracis-28405	28	1	[	[	X
bracis-28405	28	2	22	22	NUM
bracis-28405	28	3	]	]	PUNCT
bracis-28405	28	4	worked	work	VERB
bracis-28405	28	5	on	on	ADP
bracis-28405	28	6	noisy	noisy	ADJ
bracis-28405	28	7	and	and	CCONJ
bracis-28405	28	8	dynamic	dynamic	ADJ
bracis-28405	28	9	optimization	optimization	NOUN
bracis-28405	28	10	.	.	PUNCT
bracis-28405	29	1	we	we	PRON
bracis-28405	29	2	aim	aim	VERB
bracis-28405	29	3	to	to	PART
bracis-28405	29	4	fill	fill	VERB
bracis-28405	29	5	a	a	DET
bracis-28405	29	6	gap	gap	NOUN
bracis-28405	29	7	in	in	ADP
bracis-28405	29	8	the	the	DET
bracis-28405	29	9	literature	literature	NOUN
bracis-28405	29	10	by	by	ADP
bracis-28405	29	11	conducting	conduct	VERB
bracis-28405	29	12	a	a	DET
bracis-28405	29	13	study	study	NOUN
bracis-28405	29	14	that	that	PRON
bracis-28405	29	15	tests	test	VERB
bracis-28405	29	16	evolutionary	evolutionary	ADJ
bracis-28405	29	17	algorithms	algorithm	NOUN
bracis-28405	29	18	in	in	ADP
bracis-28405	29	19	the	the	DET
bracis-28405	29	20	presence	presence	NOUN
bracis-28405	29	21	of	of	ADP
bracis-28405	29	22	both	both	DET
bracis-28405	29	23	types	type	NOUN
bracis-28405	29	24	of	of	ADP
bracis-28405	29	25	uncertainties	uncertainty	NOUN
bracis-28405	29	26	;	;	PUNCT
bracis-28405	29	27	in	in	ADP
bracis-28405	29	28	decision	decision	NOUN
bracis-28405	29	29	variables	variable	NOUN
bracis-28405	29	30	and	and	CCONJ
bracis-28405	29	31	objective	objective	ADJ
bracis-28405	29	32	functions	function	NOUN
bracis-28405	29	33	.	.	PUNCT
bracis-28405	30	1	in	in	ADP
bracis-28405	30	2	order	order	NOUN
bracis-28405	30	3	to	to	PART
bracis-28405	30	4	answer	answer	VERB
bracis-28405	30	5	this	this	DET
bracis-28405	30	6	research	research	NOUN
bracis-28405	30	7	question	question	NOUN
bracis-28405	30	8	,	,	PUNCT
bracis-28405	30	9	we	we	PRON
bracis-28405	30	10	extend	extend	VERB
bracis-28405	30	11	a	a	DET
bracis-28405	30	12	test	test	NOUN
bracis-28405	30	13	function	function	NOUN
bracis-28405	30	14	generator	generator	NOUN
bracis-28405	30	15	available	available	ADJ
bracis-28405	30	16	in	in	ADP
bracis-28405	30	17	the	the	DET
bracis-28405	30	18	literature	literature	NOUN
bracis-28405	30	19	for	for	ADP
bracis-28405	30	20	multi	multi	ADJ
bracis-28405	30	21	-	-	ADJ
bracis-28405	30	22	objective	objective	ADJ
bracis-28405	30	23	optimization	optimization	NOUN
bracis-28405	30	24	.	.	PUNCT
bracis-28405	31	1	the	the	DET
bracis-28405	31	2	goal	goal	NOUN
bracis-28405	31	3	is	be	AUX
bracis-28405	31	4	to	to	PART
bracis-28405	31	5	provide	provide	VERB
bracis-28405	31	6	an	an	DET
bracis-28405	31	7	examination	examination	NOUN
bracis-28405	31	8	of	of	ADP
bracis-28405	31	9	the	the	DET
bracis-28405	31	10	behavior	behavior	NOUN
bracis-28405	31	11	of	of	ADP
bracis-28405	31	12	these	these	DET
bracis-28405	31	13	algorithms	algorithm	NOUN
bracis-28405	31	14	under	under	ADP
bracis-28405	31	15	such	such	ADJ
bracis-28405	31	16	conditions	condition	NOUN
bracis-28405	31	17	.	.	PUNCT
bracis-28405	32	1	the	the	DET
bracis-28405	32	2	generator	generator	NOUN
bracis-28405	32	3	of	of	ADP
bracis-28405	32	4	benchmark	benchmark	NOUN
bracis-28405	32	5	problems	problem	NOUN
bracis-28405	32	6	from	from	ADP
bracis-28405	32	7	[	[	X
bracis-28405	32	8	18	18	NUM
bracis-28405	32	9	]	]	PUNCT
bracis-28405	32	10	uses	use	VERB
bracis-28405	32	11	a	a	DET
bracis-28405	32	12	bottom	bottom	ADJ
bracis-28405	32	13	-	-	PUNCT
bracis-28405	32	14	up	up	ADP
bracis-28405	32	15	approach	approach	NOUN
bracis-28405	32	16	and	and	CCONJ
bracis-28405	32	17	generates	generate	VERB
bracis-28405	32	18	problems	problem	NOUN
bracis-28405	32	19	with	with	ADP
bracis-28405	32	20	various	various	ADJ
bracis-28405	32	21	features	feature	NOUN
bracis-28405	32	22	,	,	PUNCT
bracis-28405	32	23	the	the	DET
bracis-28405	32	24	objective	objective	ADJ
bracis-28405	32	25	space	space	NOUN
bracis-28405	32	26	,	,	PUNCT
bracis-28405	32	27	and	and	CCONJ
bracis-28405	32	28	the	the	DET
bracis-28405	32	29	decision	decision	NOUN
bracis-28405	32	30	space	space	NOUN
bracis-28405	32	31	separately	separately	ADV
bracis-28405	32	32	.	.	PUNCT
bracis-28405	33	1	it	it	PRON
bracis-28405	33	2	allows	allow	VERB
bracis-28405	33	3	the	the	DET
bracis-28405	33	4	creation	creation	NOUN
bracis-28405	33	5	of	of	ADP
bracis-28405	33	6	scalable	scalable	ADJ
bracis-28405	33	7	and	and	CCONJ
bracis-28405	33	8	customizable	customizable	ADJ
bracis-28405	33	9	problems	problem	NOUN
bracis-28405	33	10	for	for	ADP
bracis-28405	33	11	any	any	DET
bracis-28405	33	12	number	number	NOUN
bracis-28405	33	13	of	of	ADP
bracis-28405	33	14	objectives	objective	NOUN
bracis-28405	33	15	and	and	CCONJ
bracis-28405	33	16	pareto	pareto	ADJ
bracis-28405	33	17	fronts	front	NOUN
bracis-28405	33	18	with	with	ADP
bracis-28405	33	19	different	different	ADJ
bracis-28405	33	20	shapes	shape	NOUN
bracis-28405	33	21	and	and	CCONJ
bracis-28405	33	22	topologies	topology	NOUN
bracis-28405	33	23	,	,	PUNCT
bracis-28405	33	24	and	and	CCONJ
bracis-28405	33	25	can	can	AUX
bracis-28405	33	26	incorporate	incorporate	VERB
bracis-28405	33	27	different	different	ADJ
bracis-28405	33	28	features	feature	NOUN
bracis-28405	33	29	such	such	ADJ
bracis-28405	33	30	as	as	ADP
bracis-28405	33	31	dissimilarity	dissimilarity	NOUN
bracis-28405	33	32	,	,	PUNCT
bracis-28405	33	33	robustness	robustness	NOUN
bracis-28405	33	34	,	,	PUNCT
bracis-28405	33	35	and	and	CCONJ
bracis-28405	33	36	modality	modality	NOUN
bracis-28405	33	37	.	.	PUNCT
bracis-28405	34	1	the	the	DET
bracis-28405	34	2	objective	objective	ADJ
bracis-28405	34	3	space	space	NOUN
bracis-28405	34	4	can	can	AUX
bracis-28405	34	5	always	always	ADV
bracis-28405	34	6	be	be	AUX
bracis-28405	34	7	represented	represent	VERB
bracis-28405	34	8	as	as	ADP
bracis-28405	34	9	a	a	DET
bracis-28405	34	10	vector	vector	NOUN
bracis-28405	34	11	\(({\textbf	\(({\textbf	NOUN
bracis-28405	34	12	{	{	PUNCT
bracis-28405	34	13	x}}_p	x}}_p	PROPN
bracis-28405	34	14	,	,	PUNCT
bracis-28405	34	15	{	{	PUNCT
bracis-28405	34	16	\textbf	\textbf	PROPN
bracis-28405	34	17	{	{	PUNCT
bracis-28405	34	18	x}}_d)\	x}}_d)\	NOUN
bracis-28405	34	19	)	)	PUNCT
bracis-28405	34	20	,	,	PUNCT
bracis-28405	34	21	where	where	SCONJ
bracis-28405	34	22	\({\textbf	\({\textbf	PROPN
bracis-28405	34	23	{	{	PUNCT
bracis-28405	34	24	x}}_p\	x}}_p\	PROPN
bracis-28405	34	25	)	)	PUNCT
bracis-28405	34	26	responsible	responsible	ADJ
bracis-28405	34	27	for	for	ADP
bracis-28405	34	28	the	the	DET
bracis-28405	34	29	spatial	spatial	ADJ
bracis-28405	34	30	location	location	NOUN
bracis-28405	34	31	of	of	ADP
bracis-28405	34	32	the	the	DET
bracis-28405	34	33	points	point	NOUN
bracis-28405	34	34	in	in	ADP
bracis-28405	34	35	the	the	DET
bracis-28405	34	36	objective	objective	ADJ
bracis-28405	34	37	space	space	NOUN
bracis-28405	34	38	and	and	CCONJ
bracis-28405	34	39	\({\textbf	\({\textbf	PROPN
bracis-28405	34	40	{	{	PUNCT
bracis-28405	34	41	x}}_d\	x}}_d\	PROPN
bracis-28405	34	42	)	)	PUNCT
bracis-28405	34	43	governs	govern	VERB
bracis-28405	34	44	the	the	DET
bracis-28405	34	45	convergence	convergence	NOUN
bracis-28405	34	46	.	.	PUNCT
bracis-28405	35	1	the	the	DET
bracis-28405	35	2	extension	extension	NOUN
bracis-28405	35	3	introduces	introduce	VERB
bracis-28405	35	4	different	different	ADJ
bracis-28405	35	5	types	type	NOUN
bracis-28405	35	6	of	of	ADP
bracis-28405	35	7	noise	noise	NOUN
bracis-28405	35	8	(	(	PUNCT
bracis-28405	35	9	gaussian	gaussian	ADJ
bracis-28405	35	10	,	,	PUNCT
bracis-28405	35	11	uniform	uniform	ADJ
bracis-28405	35	12	,	,	PUNCT
bracis-28405	35	13	and	and	CCONJ
bracis-28405	35	14	cauchy	cauchy	NOUN
bracis-28405	35	15	)	)	PUNCT
bracis-28405	35	16	for	for	ADP
bracis-28405	35	17	the	the	DET
bracis-28405	35	18	objective	objective	ADJ
bracis-28405	35	19	functions	function	NOUN
bracis-28405	35	20	.	.	PUNCT
bracis-28405	36	1	these	these	DET
bracis-28405	36	2	noises	noise	NOUN
bracis-28405	36	3	have	have	VERB
bracis-28405	36	4	different	different	ADJ
bracis-28405	36	5	properties	property	NOUN
bracis-28405	36	6	,	,	PUNCT
bracis-28405	36	7	such	such	ADJ
bracis-28405	36	8	as	as	ADP
bracis-28405	36	9	being	be	AUX
bracis-28405	36	10	additive	additive	ADJ
bracis-28405	36	11	or	or	CCONJ
bracis-28405	36	12	multiplicative	multiplicative	ADJ
bracis-28405	36	13	,	,	PUNCT
bracis-28405	36	14	and	and	CCONJ
bracis-28405	36	15	can	can	AUX
bracis-28405	36	16	have	have	VERB
bracis-28405	36	17	different	different	ADJ
bracis-28405	36	18	intensities	intensity	NOUN
bracis-28405	36	19	.	.	PUNCT
bracis-28405	37	1	the	the	DET
bracis-28405	37	2	noise	noise	NOUN
bracis-28405	37	3	intensities	intensity	NOUN
bracis-28405	37	4	were	be	AUX
bracis-28405	37	5	taken	take	VERB
bracis-28405	37	6	from	from	ADP
bracis-28405	37	7	the	the	DET
bracis-28405	37	8	work	work	NOUN
bracis-28405	37	9	of	of	ADP
bracis-28405	37	10	[	[	X
bracis-28405	37	11	8	8	NUM
bracis-28405	37	12	]	]	PUNCT
bracis-28405	37	13	.	.	PUNCT
bracis-28405	38	1	proposed	propose	VERB
bracis-28405	38	2	intensities	intensity	NOUN
bracis-28405	38	3	were	be	AUX
bracis-28405	38	4	implemented	implement	VERB
bracis-28405	38	5	,	,	PUNCT
bracis-28405	38	6	along	along	ADP
bracis-28405	38	7	with	with	ADP
bracis-28405	38	8	a	a	DET
bracis-28405	38	9	third	third	ADJ
bracis-28405	38	10	intensity	intensity	NOUN
bracis-28405	38	11	we	we	PRON
bracis-28405	38	12	specifically	specifically	ADV
bracis-28405	38	13	proposed	propose	VERB
bracis-28405	38	14	for	for	ADP
bracis-28405	38	15	the	the	DET
bracis-28405	38	16	gaussian	gaussian	ADJ
bracis-28405	38	17	and	and	CCONJ
bracis-28405	38	18	uniform	uniform	ADJ
bracis-28405	38	19	noises	noise	NOUN
bracis-28405	38	20	.	.	PUNCT
bracis-28405	39	1	then	then	ADV
bracis-28405	39	2	,	,	PUNCT
bracis-28405	39	3	three	three	NUM
bracis-28405	39	4	evolutionary	evolutionary	ADJ
bracis-28405	39	5	algorithms	algorithm	NOUN
bracis-28405	39	6	designed	design	VERB
bracis-28405	39	7	for	for	ADP
bracis-28405	39	8	robust	robust	ADJ
bracis-28405	39	9	or	or	CCONJ
bracis-28405	39	10	noisy	noisy	ADJ
bracis-28405	39	11	optimization	optimization	NOUN
bracis-28405	39	12	are	be	AUX
bracis-28405	39	13	selected	select	VERB
bracis-28405	39	14	:	:	PUNCT
bracis-28405	39	15	rnsga	rnsga	PROPN
bracis-28405	39	16	-	-	PUNCT
bracis-28405	39	17	ii	ii	PROPN
bracis-28405	39	18	,	,	PUNCT
bracis-28405	39	19	rmoea	rmoea	PROPN
bracis-28405	39	20	/	/	SYM
bracis-28405	39	21	d	d	PROPN
bracis-28405	39	22	,	,	PUNCT
bracis-28405	39	23	and	and	CCONJ
bracis-28405	39	24	c	c	NOUN
bracis-28405	39	25	-	-	PUNCT
bracis-28405	39	26	rmoea	rmoea	VERB
bracis-28405	39	27	/	/	SYM
bracis-28405	39	28	d.	d.	PROPN
bracis-28405	39	29	the	the	DET
bracis-28405	39	30	results	result	NOUN
bracis-28405	39	31	of	of	ADP
bracis-28405	39	32	the	the	DET
bracis-28405	39	33	tests	test	NOUN
bracis-28405	39	34	show	show	VERB
bracis-28405	39	35	that	that	SCONJ
bracis-28405	39	36	the	the	DET
bracis-28405	39	37	algorithms	algorithm	NOUN
bracis-28405	39	38	were	be	AUX
bracis-28405	39	39	not	not	PART
bracis-28405	39	40	able	able	ADJ
bracis-28405	39	41	to	to	PART
bracis-28405	39	42	handle	handle	VERB
bracis-28405	39	43	simultaneous	simultaneous	ADJ
bracis-28405	39	44	uncertainties	uncertainty	NOUN
bracis-28405	39	45	in	in	ADP
bracis-28405	39	46	decision	decision	NOUN
bracis-28405	39	47	variables	variable	NOUN
bracis-28405	39	48	and	and	CCONJ
bracis-28405	39	49	objective	objective	ADJ
bracis-28405	39	50	functions	function	NOUN
bracis-28405	39	51	,	,	PUNCT
bracis-28405	39	52	leading	lead	VERB
bracis-28405	39	53	to	to	ADP
bracis-28405	39	54	a	a	DET
bracis-28405	39	55	degradation	degradation	NOUN
bracis-28405	39	56	in	in	ADP
bracis-28405	39	57	the	the	DET
bracis-28405	39	58	quality	quality	NOUN
bracis-28405	39	59	of	of	ADP
bracis-28405	39	60	the	the	DET
bracis-28405	39	61	solutions	solution	NOUN
bracis-28405	39	62	compared	compare	VERB
bracis-28405	39	63	to	to	ADP
bracis-28405	39	64	only	only	ADV
bracis-28405	39	65	one	one	NUM
bracis-28405	39	66	type	type	NOUN
bracis-28405	39	67	of	of	ADP
bracis-28405	39	68	uncertainty	uncertainty	NOUN
bracis-28405	39	69	(	(	PUNCT
bracis-28405	39	70	either	either	CCONJ
bracis-28405	39	71	perturbation	perturbation	NOUN
bracis-28405	39	72	or	or	CCONJ
bracis-28405	39	73	noise	noise	NOUN
bracis-28405	39	74	)	)	PUNCT
bracis-28405	39	75	.	.	PUNCT
bracis-28405	40	1	thus	thus	ADV
bracis-28405	40	2	,	,	PUNCT
bracis-28405	40	3	we	we	PRON
bracis-28405	40	4	conclude	conclude	VERB
bracis-28405	40	5	that	that	SCONJ
bracis-28405	40	6	there	there	PRON
bracis-28405	40	7	is	be	VERB
bracis-28405	40	8	a	a	DET
bracis-28405	40	9	need	need	NOUN
bracis-28405	40	10	for	for	ADP
bracis-28405	40	11	designing	design	VERB
bracis-28405	40	12	algorithms	algorithm	NOUN
bracis-28405	40	13	specifically	specifically	ADV
bracis-28405	40	14	for	for	ADP
bracis-28405	40	15	handling	handle	VERB
bracis-28405	40	16	simultaneous	simultaneous	ADJ
bracis-28405	40	17	uncertainties	uncertainty	NOUN
bracis-28405	40	18	.	.	PUNCT
bracis-28405	41	1	in	in	ADP
bracis-28405	41	2	this	this	DET
bracis-28405	41	3	work	work	NOUN
bracis-28405	41	4	,	,	PUNCT
bracis-28405	41	5	the	the	DET
bracis-28405	41	6	preliminary	preliminary	ADJ
bracis-28405	41	7	definitions	definition	NOUN
bracis-28405	41	8	and	and	CCONJ
bracis-28405	41	9	concepts	concept	NOUN
bracis-28405	41	10	such	such	ADJ
bracis-28405	41	11	as	as	ADP
bracis-28405	41	12	uncertainties	uncertainty	NOUN
bracis-28405	41	13	and	and	CCONJ
bracis-28405	41	14	robustness	robustness	NOUN
bracis-28405	41	15	measures	measure	NOUN
bracis-28405	41	16	are	be	AUX
bracis-28405	41	17	presented	present	VERB
bracis-28405	41	18	in	in	ADP
bracis-28405	41	19	sect	sect	NOUN
bracis-28405	41	20	.	.	PUNCT
bracis-28405	41	21	 	 	SPACE
bracis-28405	42	1	2	2	X
bracis-28405	42	2	.	.	PUNCT
bracis-28405	42	3	in	in	ADP
bracis-28405	42	4	sect	sect	NOUN
bracis-28405	42	5	.	.	PUNCT
bracis-28405	42	6	 	 	SPACE
bracis-28405	43	1	3	3	NUM
bracis-28405	43	2	presents	present	VERB
bracis-28405	43	3	the	the	DET
bracis-28405	43	4	extension	extension	NOUN
bracis-28405	43	5	of	of	ADP
bracis-28405	43	6	the	the	DET
bracis-28405	43	7	function	function	NOUN
bracis-28405	43	8	generator	generator	NOUN
bracis-28405	43	9	proposed	propose	VERB
bracis-28405	43	10	in	in	ADP
bracis-28405	43	11	this	this	DET
bracis-28405	43	12	work	work	NOUN
bracis-28405	43	13	.	.	PUNCT
bracis-28405	44	1	the	the	DET
bracis-28405	44	2	results	result	NOUN
bracis-28405	44	3	of	of	ADP
bracis-28405	44	4	the	the	DET
bracis-28405	44	5	computational	computational	ADJ
bracis-28405	44	6	experiment	experiment	NOUN
bracis-28405	44	7	,	,	PUNCT
bracis-28405	44	8	including	include	VERB
bracis-28405	44	9	a	a	DET
bracis-28405	44	10	brief	brief	ADJ
bracis-28405	44	11	description	description	NOUN
bracis-28405	44	12	of	of	ADP
bracis-28405	44	13	the	the	DET
bracis-28405	44	14	three	three	NUM
bracis-28405	44	15	algorithms	algorithm	NOUN
bracis-28405	44	16	used	use	VERB
bracis-28405	44	17	and	and	CCONJ
bracis-28405	44	18	the	the	DET
bracis-28405	44	19	experimental	experimental	ADJ
bracis-28405	44	20	setup	setup	NOUN
bracis-28405	44	21	,	,	PUNCT
bracis-28405	44	22	are	be	AUX
bracis-28405	44	23	presented	present	VERB
bracis-28405	44	24	in	in	ADP
bracis-28405	44	25	sect	sect	NOUN
bracis-28405	44	26	.	.	PUNCT
bracis-28405	44	27	 	 	SPACE
bracis-28405	45	1	4	4	X
bracis-28405	45	2	.	.	PUNCT
bracis-28405	46	1	finally	finally	ADV
bracis-28405	46	2	,	,	PUNCT
bracis-28405	46	3	the	the	DET
bracis-28405	46	4	conclusion	conclusion	NOUN
bracis-28405	46	5	of	of	ADP
bracis-28405	46	6	the	the	DET
bracis-28405	46	7	work	work	NOUN
bracis-28405	46	8	is	be	AUX
bracis-28405	46	9	presented	present	VERB
bracis-28405	46	10	in	in	ADP
bracis-28405	46	11	sect	sect	NOUN
bracis-28405	46	12	.	.	PUNCT
bracis-28405	46	13	 	 	SPACE
bracis-28405	47	1	5	5	NUM
bracis-28405	47	2	.	.	SYM
bracis-28405	47	3	2	2	NUM
bracis-28405	47	4	preliminary	preliminary	ADJ
bracis-28405	47	5	concepts	concept	NOUN
bracis-28405	47	6	some	some	PRON
bracis-28405	47	7	of	of	ADP
bracis-28405	47	8	the	the	DET
bracis-28405	47	9	main	main	ADJ
bracis-28405	47	10	concepts	concept	NOUN
bracis-28405	47	11	covered	cover	VERB
bracis-28405	47	12	in	in	ADP
bracis-28405	47	13	this	this	DET
bracis-28405	47	14	section	section	NOUN
bracis-28405	47	15	include	include	VERB
bracis-28405	47	16	types	type	NOUN
bracis-28405	47	17	of	of	ADP
bracis-28405	47	18	uncertainties	uncertainty	NOUN
bracis-28405	47	19	and	and	CCONJ
bracis-28405	47	20	robustness	robustness	NOUN
bracis-28405	47	21	measures	measure	NOUN
bracis-28405	47	22	.	.	PUNCT
bracis-28405	48	1	these	these	DET
bracis-28405	48	2	concepts	concept	NOUN
bracis-28405	48	3	provide	provide	VERB
bracis-28405	48	4	the	the	DET
bracis-28405	48	5	foundation	foundation	NOUN
bracis-28405	48	6	for	for	ADP
bracis-28405	48	7	the	the	DET
bracis-28405	48	8	later	later	ADJ
bracis-28405	48	9	discussions	discussion	NOUN
bracis-28405	48	10	in	in	ADP
bracis-28405	48	11	the	the	DET
bracis-28405	48	12	paper	paper	NOUN
bracis-28405	48	13	about	about	ADP
bracis-28405	48	14	robust	robust	ADJ
bracis-28405	48	15	and	and	CCONJ
bracis-28405	48	16	noisy	noisy	ADJ
bracis-28405	48	17	multi	multi	ADJ
bracis-28405	48	18	-	-	ADJ
bracis-28405	48	19	objective	objective	ADJ
bracis-28405	48	20	optimization	optimization	NOUN
bracis-28405	48	21	.	.	PUNCT
bracis-28405	49	1	2.1	2.1	NUM
bracis-28405	49	2	types	type	NOUN
bracis-28405	49	3	of	of	ADP
bracis-28405	49	4	uncertainties	uncertainty	NOUN
bracis-28405	49	5	there	there	PRON
bracis-28405	49	6	are	be	VERB
bracis-28405	49	7	several	several	ADJ
bracis-28405	49	8	classifications	classification	NOUN
bracis-28405	49	9	of	of	ADP
bracis-28405	49	10	uncertainties	uncertainty	NOUN
bracis-28405	49	11	in	in	ADP
bracis-28405	49	12	the	the	DET
bracis-28405	49	13	literature	literature	NOUN
bracis-28405	49	14	.	.	PUNCT
bracis-28405	50	1	three	three	NUM
bracis-28405	50	2	prevalent	prevalent	ADJ
bracis-28405	50	3	classifications	classification	NOUN
bracis-28405	50	4	of	of	ADP
bracis-28405	50	5	uncertainties	uncertainty	NOUN
bracis-28405	50	6	are	be	AUX
bracis-28405	50	7	presented	present	VERB
bracis-28405	50	8	in	in	ADP
bracis-28405	50	9	table	table	NOUN
bracis-28405	50	10	 	 	SPACE
bracis-28405	50	11	1	1	NUM
bracis-28405	50	12	.	.	PUNCT
bracis-28405	51	1	the	the	DET
bracis-28405	51	2	parameter	parameter	NOUN
bracis-28405	51	3	\(\delta	\(\delta	NOUN
bracis-28405	51	4	\	\	NOUN
bracis-28405	51	5	)	)	PUNCT
bracis-28405	51	6	represents	represent	VERB
bracis-28405	51	7	uncertainties	uncertainty	NOUN
bracis-28405	51	8	in	in	ADP
bracis-28405	51	9	the	the	DET
bracis-28405	51	10	decision	decision	NOUN
bracis-28405	51	11	variables	variable	NOUN
bracis-28405	51	12	(	(	PUNCT
bracis-28405	51	13	perturbation	perturbation	NOUN
bracis-28405	51	14	)	)	PUNCT
bracis-28405	51	15	,	,	PUNCT
bracis-28405	51	16	\(f({\textbf	\(f({\textbf	NOUN
bracis-28405	51	17	{	{	PUNCT
bracis-28405	51	18	x}}+\delta	x}}+\delta	PROPN
bracis-28405	51	19	)	)	PUNCT
bracis-28405	51	20	\	\	PROPN
bracis-28405	51	21	)	)	PUNCT
bracis-28405	51	22	,	,	PUNCT
bracis-28405	51	23	or	or	CCONJ
bracis-28405	51	24	in	in	ADP
bracis-28405	51	25	the	the	DET
bracis-28405	51	26	objective	objective	ADJ
bracis-28405	51	27	functions	function	NOUN
bracis-28405	51	28	(	(	PUNCT
bracis-28405	51	29	noise	noise	NOUN
bracis-28405	51	30	)	)	PUNCT
bracis-28405	51	31	,	,	PUNCT
bracis-28405	51	32	\(f({\textbf	\(f({\textbf	NOUN
bracis-28405	51	33	{	{	PUNCT
bracis-28405	51	34	x}})+\delta	x}})+\delta	PROPN
bracis-28405	51	35	\	\	PROPN
bracis-28405	51	36	)	)	PUNCT
bracis-28405	51	37	.	.	PUNCT
bracis-28405	52	1	table	table	NOUN
bracis-28405	52	2	1	1	NUM
bracis-28405	52	3	.	.	PUNCT
bracis-28405	53	1	classifications	classification	NOUN
bracis-28405	53	2	of	of	ADP
bracis-28405	53	3	types	type	NOUN
bracis-28405	53	4	of	of	ADP
bracis-28405	53	5	uncertainties	uncertainty	NOUN
bracis-28405	53	6	,	,	PUNCT
bracis-28405	53	7	according	accord	VERB
bracis-28405	53	8	to	to	ADP
bracis-28405	53	9	[	[	X
bracis-28405	53	10	4	4	NUM
bracis-28405	53	11	,	,	PUNCT
bracis-28405	53	12	13	13	NUM
bracis-28405	53	13	,	,	PUNCT
bracis-28405	53	14	21].full	21].full	NUM
bracis-28405	53	15	size	size	NOUN
bracis-28405	53	16	table	table	NOUN
bracis-28405	53	17	according	accord	VERB
bracis-28405	53	18	to	to	ADP
bracis-28405	53	19	[	[	X
bracis-28405	53	20	4	4	NUM
bracis-28405	53	21	]	]	PUNCT
bracis-28405	53	22	,	,	PUNCT
bracis-28405	53	23	uncertainties	uncertainty	NOUN
bracis-28405	53	24	are	be	AUX
bracis-28405	53	25	categorized	categorize	VERB
bracis-28405	53	26	based	base	VERB
bracis-28405	53	27	on	on	ADP
bracis-28405	53	28	their	their	PRON
bracis-28405	53	29	sources	source	NOUN
bracis-28405	53	30	,	,	PUNCT
bracis-28405	53	31	with	with	ADP
bracis-28405	53	32	some	some	DET
bracis-28405	53	33	sources	source	NOUN
bracis-28405	53	34	of	of	ADP
bracis-28405	53	35	different	different	ADJ
bracis-28405	53	36	types	type	NOUN
bracis-28405	53	37	of	of	ADP
bracis-28405	53	38	uncertainties	uncertainty	NOUN
bracis-28405	53	39	being	be	AUX
bracis-28405	53	40	identified	identify	VERB
bracis-28405	53	41	in	in	ADP
bracis-28405	53	42	the	the	DET
bracis-28405	53	43	design	design	NOUN
bracis-28405	53	44	and	and	CCONJ
bracis-28405	53	45	optimization	optimization	NOUN
bracis-28405	53	46	process	process	NOUN
bracis-28405	53	47	.	.	PUNCT
bracis-28405	54	1	ong	ong	INTJ
bracis-28405	54	2	et	et	PROPN
bracis-28405	54	3	al	al	PROPN
bracis-28405	54	4	.	.	PUNCT
bracis-28405	55	1	[	[	X
bracis-28405	55	2	21	21	NUM
bracis-28405	55	3	]	]	PUNCT
bracis-28405	55	4	consider	consider	VERB
bracis-28405	55	5	which	which	DET
bracis-28405	55	6	elements	element	NOUN
bracis-28405	55	7	of	of	ADP
bracis-28405	55	8	the	the	DET
bracis-28405	55	9	model	model	NOUN
bracis-28405	55	10	are	be	AUX
bracis-28405	55	11	affected	affect	VERB
bracis-28405	55	12	,	,	PUNCT
bracis-28405	55	13	such	such	ADJ
bracis-28405	55	14	as	as	ADP
bracis-28405	55	15	the	the	DET
bracis-28405	55	16	objective	objective	ADJ
bracis-28405	55	17	function	function	NOUN
bracis-28405	55	18	,	,	PUNCT
bracis-28405	55	19	variables	variable	NOUN
bracis-28405	55	20	,	,	PUNCT
bracis-28405	55	21	or	or	CCONJ
bracis-28405	55	22	environment	environment	NOUN
bracis-28405	55	23	.	.	PUNCT
bracis-28405	56	1	finally	finally	ADV
bracis-28405	56	2	,	,	PUNCT
bracis-28405	56	3	jin	jin	NOUN
bracis-28405	56	4	and	and	CCONJ
bracis-28405	56	5	branke	branke	ADJ
bracis-28405	57	1	[	[	X
bracis-28405	57	2	13	13	NUM
bracis-28405	57	3	]	]	PUNCT
bracis-28405	57	4	classify	classify	VERB
bracis-28405	57	5	uncertainties	uncertainty	NOUN
bracis-28405	57	6	in	in	ADP
bracis-28405	57	7	optimization	optimization	NOUN
bracis-28405	57	8	problems	problem	NOUN
bracis-28405	57	9	according	accord	VERB
bracis-28405	57	10	to	to	ADP
bracis-28405	57	11	how	how	SCONJ
bracis-28405	57	12	they	they	PRON
bracis-28405	57	13	impact	impact	VERB
bracis-28405	57	14	the	the	DET
bracis-28405	57	15	optimization	optimization	NOUN
bracis-28405	57	16	process	process	NOUN
bracis-28405	57	17	.	.	PUNCT
bracis-28405	58	1	we	we	PRON
bracis-28405	58	2	observed	observe	VERB
bracis-28405	58	3	that	that	SCONJ
bracis-28405	58	4	there	there	PRON
bracis-28405	58	5	is	be	VERB
bracis-28405	58	6	an	an	DET
bracis-28405	58	7	equivalence	equivalence	NOUN
bracis-28405	58	8	between	between	ADP
bracis-28405	58	9	the	the	DET
bracis-28405	58	10	classifications	classification	NOUN
bracis-28405	58	11	of	of	ADP
bracis-28405	58	12	uncertainties	uncertainty	NOUN
bracis-28405	58	13	mentioned	mention	VERB
bracis-28405	58	14	in	in	ADP
bracis-28405	58	15	the	the	DET
bracis-28405	58	16	literature	literature	NOUN
bracis-28405	58	17	.	.	PUNCT
bracis-28405	59	1	this	this	DET
bracis-28405	59	2	equivalence	equivalence	NOUN
bracis-28405	59	3	is	be	AUX
bracis-28405	59	4	depicted	depict	VERB
bracis-28405	59	5	in	in	ADP
bracis-28405	59	6	table	table	NOUN
bracis-28405	59	7	 	 	SPACE
bracis-28405	59	8	2	2	NUM
bracis-28405	59	9	.	.	PUNCT
bracis-28405	59	10	to	to	PART
bracis-28405	59	11	illustrate	illustrate	VERB
bracis-28405	59	12	this	this	DET
bracis-28405	59	13	equivalence	equivalence	NOUN
bracis-28405	59	14	,	,	PUNCT
bracis-28405	59	15	consider	consider	VERB
bracis-28405	59	16	type	type	NOUN
bracis-28405	59	17	b	b	NOUN
bracis-28405	59	18	,	,	PUNCT
bracis-28405	59	19	which	which	PRON
bracis-28405	59	20	classifies	classify	VERB
bracis-28405	59	21	the	the	DET
bracis-28405	59	22	source	source	NOUN
bracis-28405	59	23	of	of	ADP
bracis-28405	59	24	uncertainty	uncertainty	NOUN
bracis-28405	59	25	as	as	ADP
bracis-28405	59	26	production	production	NOUN
bracis-28405	59	27	tolerance	tolerance	NOUN
bracis-28405	59	28	.	.	PUNCT
bracis-28405	60	1	for	for	ADP
bracis-28405	60	2	example	example	NOUN
bracis-28405	60	3	,	,	PUNCT
bracis-28405	60	4	a	a	DET
bracis-28405	60	5	final	final	ADJ
bracis-28405	60	6	control	control	NOUN
bracis-28405	60	7	element	element	NOUN
bracis-28405	60	8	has	have	VERB
bracis-28405	60	9	uncertainty	uncertainty	NOUN
bracis-28405	60	10	(	(	PUNCT
bracis-28405	60	11	a	a	DET
bracis-28405	60	12	hypothetical	hypothetical	ADJ
bracis-28405	60	13	example	example	NOUN
bracis-28405	60	14	would	would	AUX
bracis-28405	60	15	be	be	AUX
bracis-28405	60	16	a	a	DET
bracis-28405	60	17	drill	drill	NOUN
bracis-28405	60	18	that	that	PRON
bracis-28405	60	19	aims	aim	VERB
bracis-28405	60	20	to	to	PART
bracis-28405	60	21	drill	drill	VERB
bracis-28405	60	22	5	5	NUM
bracis-28405	60	23	 	 	SPACE
bracis-28405	60	24	m	m	PROPN
bracis-28405	60	25	,	,	PUNCT
bracis-28405	60	26	but	but	CCONJ
bracis-28405	60	27	may	may	AUX
bracis-28405	60	28	have	have	VERB
bracis-28405	60	29	a	a	DET
bracis-28405	60	30	\({\pm	\({\pm	ADJ
bracis-28405	60	31	}	}	PUNCT
bracis-28405	60	32	10\%\	10\%\	ADJ
bracis-28405	60	33	)	)	PUNCT
bracis-28405	60	34	error	error	NOUN
bracis-28405	60	35	)	)	PUNCT
bracis-28405	60	36	.	.	PUNCT
bracis-28405	61	1	this	this	DET
bracis-28405	61	2	error	error	NOUN
bracis-28405	61	3	in	in	ADP
bracis-28405	61	4	the	the	DET
bracis-28405	61	5	final	final	ADJ
bracis-28405	61	6	control	control	NOUN
bracis-28405	61	7	element	element	NOUN
bracis-28405	61	8	generates	generate	VERB
bracis-28405	61	9	a	a	DET
bracis-28405	61	10	perturbation	perturbation	NOUN
bracis-28405	61	11	in	in	ADP
bracis-28405	61	12	the	the	DET
bracis-28405	61	13	decision	decision	NOUN
bracis-28405	61	14	variables	variable	NOUN
bracis-28405	61	15	,	,	PUNCT
bracis-28405	61	16	thus	thus	ADV
bracis-28405	61	17	making	make	VERB
bracis-28405	61	18	it	it	PRON
bracis-28405	61	19	both	both	PRON
bracis-28405	61	20	type	type	NOUN
bracis-28405	61	21	ii	ii	NOUN
bracis-28405	61	22	and	and	CCONJ
bracis-28405	61	23	category	category	NOUN
bracis-28405	61	24	 	 	SPACE
bracis-28405	61	25	ii	ii	PROPN
bracis-28405	61	26	.	.	PUNCT
bracis-28405	61	27	table	table	NOUN
bracis-28405	61	28	2	2	NUM
bracis-28405	61	29	.	.	PUNCT
bracis-28405	61	30	equivalence	equivalence	NOUN
bracis-28405	61	31	between	between	ADP
bracis-28405	61	32	classifications	classification	NOUN
bracis-28405	61	33	of	of	ADP
bracis-28405	61	34	uncertainties	uncertainty	NOUN
bracis-28405	61	35	,	,	PUNCT
bracis-28405	61	36	according	accord	VERB
bracis-28405	61	37	to	to	ADP
bracis-28405	61	38	[	[	X
bracis-28405	61	39	4	4	NUM
bracis-28405	61	40	,	,	PUNCT
bracis-28405	61	41	13	13	NUM
bracis-28405	61	42	,	,	PUNCT
bracis-28405	61	43	21].full	21].full	NUM
bracis-28405	61	44	size	size	NOUN
bracis-28405	61	45	table	table	NOUN
bracis-28405	61	46	2.2	2.2	NUM
bracis-28405	61	47	robustness	robustness	NOUN
bracis-28405	61	48	measurements	measurement	NOUN
bracis-28405	61	49	mathematically	mathematically	ADV
bracis-28405	61	50	,	,	PUNCT
bracis-28405	61	51	there	there	PRON
bracis-28405	61	52	are	be	VERB
bracis-28405	61	53	different	different	ADJ
bracis-28405	61	54	ways	way	NOUN
bracis-28405	61	55	to	to	PART
bracis-28405	61	56	quantify	quantify	VERB
bracis-28405	61	57	the	the	DET
bracis-28405	61	58	uncertainties	uncertainty	NOUN
bracis-28405	61	59	classified	classify	VERB
bracis-28405	61	60	above	above	ADV
bracis-28405	61	61	.	.	PUNCT
bracis-28405	62	1	one	one	NUM
bracis-28405	62	2	paper	paper	NOUN
bracis-28405	62	3	that	that	PRON
bracis-28405	62	4	defined	define	VERB
bracis-28405	62	5	robustness	robustness	NOUN
bracis-28405	62	6	measures	measure	NOUN
bracis-28405	62	7	was	be	AUX
bracis-28405	62	8	by	by	ADP
bracis-28405	62	9	[	[	X
bracis-28405	62	10	4	4	NUM
bracis-28405	62	11	]	]	PUNCT
bracis-28405	62	12	.	.	PUNCT
bracis-28405	63	1	according	accord	VERB
bracis-28405	63	2	to	to	ADP
bracis-28405	63	3	this	this	DET
bracis-28405	63	4	work	work	NOUN
bracis-28405	63	5	,	,	PUNCT
bracis-28405	63	6	uncertainties	uncertainty	NOUN
bracis-28405	63	7	can	can	AUX
bracis-28405	63	8	basically	basically	ADV
bracis-28405	63	9	be	be	AUX
bracis-28405	63	10	modeled	model	VERB
bracis-28405	63	11	deterministically	deterministically	ADV
bracis-28405	63	12	,	,	PUNCT
bracis-28405	63	13	probabilistically	probabilistically	ADV
bracis-28405	63	14	,	,	PUNCT
bracis-28405	63	15	or	or	CCONJ
bracis-28405	63	16	possibilistically	possibilistically	ADV
bracis-28405	63	17	:	:	PUNCT
bracis-28405	64	1	1	1	X
bracis-28405	64	2	.	.	PUNCT
bracis-28405	64	3	the	the	DET
bracis-28405	64	4	deterministic	deterministic	ADJ
bracis-28405	64	5	type	type	NOUN
bracis-28405	64	6	defines	define	NOUN
bracis-28405	64	7	domains	domain	NOUN
bracis-28405	64	8	of	of	ADP
bracis-28405	64	9	uncertainty	uncertainty	NOUN
bracis-28405	64	10	parameters	parameter	NOUN
bracis-28405	64	11	.	.	PUNCT
bracis-28405	65	1	an	an	DET
bracis-28405	65	2	example	example	NOUN
bracis-28405	65	3	is	be	AUX
bracis-28405	65	4	the	the	DET
bracis-28405	65	5	worst	bad	ADJ
bracis-28405	65	6	-	-	PUNCT
bracis-28405	65	7	case	case	NOUN
bracis-28405	65	8	measure	measure	NOUN
bracis-28405	65	9	:	:	PUNCT
bracis-28405	65	10	$	$	SYM
bracis-28405	65	11	$	$	SYM
bracis-28405	65	12	\begin{aligned	\begin{aligne	VERB
bracis-28405	65	13	}	}	PUNCT
bracis-28405	65	14	r({\textbf	r({\textbf	PROPN
bracis-28405	65	15	{	{	PUNCT
bracis-28405	65	16	x}},\delta	x}},\delta	PROPN
bracis-28405	65	17	)	)	PUNCT
bracis-28405	66	1	=	=	PUNCT
bracis-28405	66	2	\max	\max	PROPN
bracis-28405	66	3	_	_	PUNCT
bracis-28405	66	4	{	{	PUNCT
bracis-28405	66	5	\delta	\delta	PROPN
bracis-28405	66	6	\in	\in	PROPN
bracis-28405	66	7	\vardelta	\vardelta	PROPN
bracis-28405	66	8	}	}	PUNCT
bracis-28405	66	9	f({\textbf	f({\textbf	PROPN
bracis-28405	66	10	{	{	PUNCT
bracis-28405	66	11	x}},\delta	x}},\delta	PROPN
bracis-28405	66	12	)	)	PUNCT
bracis-28405	66	13	\end{aligned}$$	\end{aligned}$$	PROPN
bracis-28405	66	14	(	(	PUNCT
bracis-28405	66	15	1	1	NUM
bracis-28405	66	16	)	)	PUNCT
bracis-28405	66	17	2	2	NUM
bracis-28405	66	18	.	.	PUNCT
bracis-28405	67	1	the	the	DET
bracis-28405	67	2	probabilistic	probabilistic	ADJ
bracis-28405	67	3	type	type	NOUN
bracis-28405	67	4	defines	define	VERB
bracis-28405	67	5	probability	probability	NOUN
bracis-28405	67	6	measures	measure	NOUN
bracis-28405	67	7	that	that	PRON
bracis-28405	67	8	describe	describe	VERB
bracis-28405	67	9	the	the	DET
bracis-28405	67	10	probability	probability	NOUN
bracis-28405	67	11	by	by	ADP
bracis-28405	67	12	which	which	PRON
bracis-28405	67	13	a	a	DET
bracis-28405	67	14	given	give	VERB
bracis-28405	67	15	event	event	NOUN
bracis-28405	67	16	can	can	AUX
bracis-28405	67	17	occur	occur	VERB
bracis-28405	67	18	.	.	PUNCT
bracis-28405	68	1	an	an	DET
bracis-28405	68	2	example	example	NOUN
bracis-28405	68	3	is	be	AUX
bracis-28405	68	4	the	the	DET
bracis-28405	68	5	monte	monte	PROPN
bracis-28405	68	6	carlo	carlo	NOUN
bracis-28405	68	7	integration	integration	NOUN
bracis-28405	68	8	followed	follow	VERB
bracis-28405	68	9	by	by	ADP
bracis-28405	68	10	the	the	DET
bracis-28405	68	11	mean	mean	NOUN
bracis-28405	68	12	:	:	PUNCT
bracis-28405	68	13	$	$	SYM
bracis-28405	68	14	$	$	SYM
bracis-28405	68	15	\begin{aligned	\begin{aligne	VERB
bracis-28405	68	16	}	}	PUNCT
bracis-28405	68	17	\hat{r}({\textbf	\hat{r}({\textbf	PRON
bracis-28405	68	18	{	{	PUNCT
bracis-28405	68	19	x}},\delta	x}},\delta	PROPN
bracis-28405	68	20	)	)	PUNCT
bracis-28405	69	1	=	=	PUNCT
bracis-28405	69	2	\frac{1}{k	\frac{1}{k	NOUN
bracis-28405	69	3	}	}	PUNCT
bracis-28405	69	4	\sum	\sum	NOUN
bracis-28405	69	5	_	_	PUNCT
bracis-28405	69	6	{	{	PUNCT
bracis-28405	69	7	i=1}^{k	i=1}^{k	NOUN
bracis-28405	69	8	}	}	PUNCT
bracis-28405	70	1	[	[	X
bracis-28405	70	2	f({\textbf	f({\textbf	NOUN
bracis-28405	70	3	{	{	PUNCT
bracis-28405	70	4	x}}+\delta	x}}+\delta	NOUN
bracis-28405	70	5	^i	^i	PROPN
bracis-28405	70	6	)	)	PUNCT
bracis-28405	70	7	]	]	PUNCT
bracis-28405	70	8	\end{aligned}$$	\end{aligned}$$	X
bracis-28405	70	9	(	(	PUNCT
bracis-28405	70	10	2	2	NUM
bracis-28405	70	11	)	)	PUNCT
bracis-28405	70	12	3	3	NUM
bracis-28405	70	13	.	.	PUNCT
bracis-28405	71	1	the	the	DET
bracis-28405	71	2	possibilistic	possibilistic	ADJ
bracis-28405	71	3	type	type	NOUN
bracis-28405	71	4	defines	define	VERB
bracis-28405	71	5	fuzzy	fuzzy	ADJ
bracis-28405	71	6	rules	rule	NOUN
bracis-28405	71	7	that	that	PRON
bracis-28405	71	8	describe	describe	VERB
bracis-28405	71	9	the	the	DET
bracis-28405	71	10	degree	degree	NOUN
bracis-28405	71	11	of	of	ADP
bracis-28405	71	12	adherence	adherence	NOUN
bracis-28405	71	13	by	by	ADP
bracis-28405	71	14	which	which	PRON
bracis-28405	71	15	a	a	DET
bracis-28405	71	16	given	give	VERB
bracis-28405	71	17	event	event	NOUN
bracis-28405	71	18	may	may	AUX
bracis-28405	71	19	be	be	AUX
bracis-28405	71	20	acceptable	acceptable	ADJ
bracis-28405	71	21	.	.	PUNCT
bracis-28405	72	1	an	an	DET
bracis-28405	72	2	example	example	NOUN
bracis-28405	72	3	is	be	AUX
bracis-28405	72	4	the	the	DET
bracis-28405	72	5	treatment	treatment	NOUN
bracis-28405	72	6	of	of	ADP
bracis-28405	72	7	uncertainty	uncertainty	NOUN
bracis-28405	72	8	sets	set	NOUN
bracis-28405	72	9	using	use	VERB
bracis-28405	72	10	fuzzy	fuzzy	ADJ
bracis-28405	72	11	logic	logic	NOUN
bracis-28405	72	12	and	and	CCONJ
bracis-28405	72	13	the	the	DET
bracis-28405	72	14	theory	theory	NOUN
bracis-28405	72	15	of	of	ADP
bracis-28405	72	16	evidence	evidence	NOUN
bracis-28405	72	17	[	[	X
bracis-28405	72	18	14	14	NUM
bracis-28405	72	19	]	]	SYM
bracis-28405	72	20	.	.	PUNCT
bracis-28405	73	1	3	3	NUM
bracis-28405	73	2	function	function	NOUN
bracis-28405	73	3	generator	generator	NOUN
bracis-28405	73	4	extension	extension	NOUN
bracis-28405	73	5	robust	robust	ADJ
bracis-28405	73	6	optimization	optimization	NOUN
bracis-28405	73	7	and/or	and/or	CCONJ
bracis-28405	73	8	noisy	noisy	ADJ
bracis-28405	73	9	optimization	optimization	NOUN
bracis-28405	73	10	a	a	DET
bracis-28405	73	11	contribution	contribution	NOUN
bracis-28405	73	12	of	of	ADP
bracis-28405	73	13	this	this	DET
bracis-28405	73	14	work	work	NOUN
bracis-28405	73	15	is	be	AUX
bracis-28405	73	16	the	the	DET
bracis-28405	73	17	proposal	proposal	NOUN
bracis-28405	73	18	of	of	ADP
bracis-28405	73	19	an	an	DET
bracis-28405	73	20	extension	extension	NOUN
bracis-28405	73	21	to	to	ADP
bracis-28405	73	22	the	the	DET
bracis-28405	73	23	function	function	NOUN
bracis-28405	73	24	generator	generator	NOUN
bracis-28405	73	25	described	describe	VERB
bracis-28405	73	26	in	in	ADP
bracis-28405	73	27	[	[	X
bracis-28405	73	28	18	18	NUM
bracis-28405	73	29	]	]	PUNCT
bracis-28405	73	30	.	.	PUNCT
bracis-28405	74	1	the	the	DET
bracis-28405	74	2	main	main	ADJ
bracis-28405	74	3	aspect	aspect	NOUN
bracis-28405	74	4	of	of	ADP
bracis-28405	74	5	this	this	DET
bracis-28405	74	6	extension	extension	NOUN
bracis-28405	74	7	is	be	AUX
bracis-28405	74	8	the	the	DET
bracis-28405	74	9	integration	integration	NOUN
bracis-28405	74	10	of	of	ADP
bracis-28405	74	11	concepts	concept	NOUN
bracis-28405	74	12	from	from	ADP
bracis-28405	74	13	robust	robust	ADJ
bracis-28405	74	14	and	and	CCONJ
bracis-28405	74	15	noisy	noisy	ADJ
bracis-28405	74	16	optimization	optimization	NOUN
bracis-28405	74	17	.	.	PUNCT
bracis-28405	75	1	the	the	DET
bracis-28405	75	2	gaussian	gaussian	ADJ
bracis-28405	75	3	,	,	PUNCT
bracis-28405	75	4	uniform	uniform	ADJ
bracis-28405	75	5	,	,	PUNCT
bracis-28405	75	6	and	and	CCONJ
bracis-28405	75	7	cauchy	cauchy	PROPN
bracis-28405	75	8	noise	noise	NOUN
bracis-28405	75	9	models	model	NOUN
bracis-28405	75	10	present	present	ADJ
bracis-28405	75	11	in	in	ADP
bracis-28405	75	12	the	the	DET
bracis-28405	75	13	bbob	bbob	NOUN
bracis-28405	75	14	functions	function	NOUN
bracis-28405	75	15	[	[	X
bracis-28405	75	16	8	8	NUM
bracis-28405	75	17	]	]	PUNCT
bracis-28405	75	18	are	be	AUX
bracis-28405	75	19	incorporated	incorporate	VERB
bracis-28405	75	20	into	into	ADP
bracis-28405	75	21	the	the	DET
bracis-28405	75	22	function	function	NOUN
bracis-28405	75	23	generator	generator	NOUN
bracis-28405	75	24	,	,	PUNCT
bracis-28405	75	25	resulting	result	VERB
bracis-28405	75	26	in	in	ADP
bracis-28405	75	27	an	an	DET
bracis-28405	75	28	optimization	optimization	NOUN
bracis-28405	75	29	problem	problem	NOUN
bracis-28405	75	30	formulation	formulation	NOUN
bracis-28405	75	31	with	with	ADP
bracis-28405	75	32	uncertainty	uncertainty	NOUN
bracis-28405	75	33	in	in	ADP
bracis-28405	75	34	both	both	CCONJ
bracis-28405	75	35	the	the	DET
bracis-28405	75	36	decision	decision	NOUN
bracis-28405	75	37	variables	variable	NOUN
bracis-28405	75	38	and	and	CCONJ
bracis-28405	75	39	the	the	DET
bracis-28405	75	40	objective	objective	ADJ
bracis-28405	75	41	functions	function	NOUN
bracis-28405	75	42	.	.	PUNCT
bracis-28405	76	1	mathematically	mathematically	ADV
bracis-28405	76	2	:	:	PUNCT
bracis-28405	76	3	$	$	SYM
bracis-28405	76	4	$	$	SYM
bracis-28405	76	5	\begin{aligned	\begin{aligne	VERB
bracis-28405	76	6	}	}	PUNCT
bracis-28405	76	7	f({\textbf	f({\textbf	NOUN
bracis-28405	76	8	{	{	PUNCT
bracis-28405	76	9	x}},\delta	x}},\delta	X
bracis-28405	77	1	_	_	PUNCT
bracis-28405	77	2	x	x	X
bracis-28405	77	3	,	,	PUNCT
bracis-28405	77	4	\delta	\delta	PROPN
bracis-28405	77	5	_	_	PUNCT
bracis-28405	77	6	f	f	X
bracis-28405	77	7	)	)	PUNCT
bracis-28405	78	1	=	=	SYM
bracis-28405	78	2	f({\textbf	f({\textbf	NOUN
bracis-28405	78	3	{	{	PUNCT
bracis-28405	78	4	x	x	NOUN
bracis-28405	78	5	}	}	PUNCT
bracis-28405	78	6	}	}	PUNCT
bracis-28405	78	7	+	+	CCONJ
bracis-28405	78	8	\delta	\delta	PROPN
bracis-28405	78	9	_	_	NOUN
bracis-28405	78	10	x	x	X
bracis-28405	78	11	)	)	PUNCT
bracis-28405	79	1	+	+	CCONJ
bracis-28405	80	1	\delta	\delta	PROPN
bracis-28405	80	2	_	_	PUNCT
bracis-28405	80	3	f	f	PROPN
bracis-28405	80	4	\end{aligned}$$	\end{aligned}$$	X
bracis-28405	80	5	(	(	PUNCT
bracis-28405	80	6	3	3	NUM
bracis-28405	80	7	)	)	PUNCT
bracis-28405	80	8	where	where	SCONJ
bracis-28405	80	9	\(\delta	\(\delta	NOUN
bracis-28405	80	10	_	_	PUNCT
bracis-28405	80	11	x\	x\	NOUN
bracis-28405	80	12	)	)	PUNCT
bracis-28405	80	13	indicates	indicate	VERB
bracis-28405	80	14	the	the	DET
bracis-28405	80	15	uncertainties	uncertainty	NOUN
bracis-28405	80	16	in	in	ADP
bracis-28405	80	17	the	the	DET
bracis-28405	80	18	decision	decision	NOUN
bracis-28405	80	19	variables	variable	NOUN
bracis-28405	80	20	and	and	CCONJ
bracis-28405	80	21	\(\delta	\(\delta	NOUN
bracis-28405	80	22	_	_	NOUN
bracis-28405	80	23	f\	f\	X
bracis-28405	80	24	)	)	PUNCT
bracis-28405	80	25	indicates	indicate	VERB
bracis-28405	80	26	the	the	DET
bracis-28405	80	27	uncertainties	uncertainty	NOUN
bracis-28405	80	28	in	in	ADP
bracis-28405	80	29	the	the	DET
bracis-28405	80	30	objective	objective	ADJ
bracis-28405	80	31	functions	function	NOUN
bracis-28405	80	32	.	.	PUNCT
bracis-28405	81	1	in	in	ADP
bracis-28405	81	2	eq	eq	PROPN
bracis-28405	81	3	.	.	PUNCT
bracis-28405	81	4	 	 	SPACE
bracis-28405	81	5	3	3	NUM
bracis-28405	81	6	,	,	PUNCT
bracis-28405	81	7	the	the	DET
bracis-28405	81	8	noise	noise	NOUN
bracis-28405	81	9	is	be	AUX
bracis-28405	81	10	considered	consider	VERB
bracis-28405	81	11	additive	additive	ADJ
bracis-28405	81	12	,	,	PUNCT
bracis-28405	81	13	but	but	CCONJ
bracis-28405	81	14	it	it	PRON
bracis-28405	81	15	can	can	AUX
bracis-28405	81	16	also	also	ADV
bracis-28405	81	17	be	be	AUX
bracis-28405	81	18	multiplicative	multiplicative	ADJ
bracis-28405	81	19	:	:	PUNCT
bracis-28405	81	20	$	$	SYM
bracis-28405	81	21	$	$	SYM
bracis-28405	81	22	\begin{aligned	\begin{aligne	VERB
bracis-28405	81	23	}	}	PUNCT
bracis-28405	81	24	f({\textbf	f({\textbf	NOUN
bracis-28405	81	25	{	{	PUNCT
bracis-28405	81	26	x}},\delta	x}},\delta	X
bracis-28405	82	1	_	_	PUNCT
bracis-28405	82	2	x	x	X
bracis-28405	82	3	,	,	PUNCT
bracis-28405	82	4	\delta	\delta	PROPN
bracis-28405	82	5	_	_	PUNCT
bracis-28405	82	6	f	f	X
bracis-28405	82	7	)	)	PUNCT
bracis-28405	83	1	=	=	SYM
bracis-28405	83	2	f({\textbf	f({\textbf	NOUN
bracis-28405	83	3	{	{	PUNCT
bracis-28405	83	4	x	x	NOUN
bracis-28405	83	5	}	}	PUNCT
bracis-28405	83	6	}	}	PUNCT
bracis-28405	83	7	+	+	CCONJ
bracis-28405	83	8	\delta	\delta	PROPN
bracis-28405	83	9	_	_	NOUN
bracis-28405	83	10	x	x	X
bracis-28405	83	11	)	)	PUNCT
bracis-28405	83	12	\times	\times	ADP
bracis-28405	83	13	\delta	\delta	PROPN
bracis-28405	83	14	_	_	PUNCT
bracis-28405	83	15	f	f	X
bracis-28405	83	16	\end{aligned}$$	\end{aligned}$$	X
bracis-28405	83	17	(	(	PUNCT
bracis-28405	83	18	4	4	NUM
bracis-28405	83	19	)	)	PUNCT
bracis-28405	83	20	the	the	DET
bracis-28405	83	21	main	main	ADJ
bracis-28405	83	22	objective	objective	NOUN
bracis-28405	83	23	of	of	ADP
bracis-28405	83	24	the	the	DET
bracis-28405	83	25	proposed	propose	VERB
bracis-28405	83	26	extension	extension	NOUN
bracis-28405	83	27	is	be	AUX
bracis-28405	83	28	to	to	PART
bracis-28405	83	29	evaluate	evaluate	VERB
bracis-28405	83	30	the	the	DET
bracis-28405	83	31	behavior	behavior	NOUN
bracis-28405	83	32	of	of	ADP
bracis-28405	83	33	algorithms	algorithm	NOUN
bracis-28405	83	34	in	in	ADP
bracis-28405	83	35	problems	problem	NOUN
bracis-28405	83	36	with	with	ADP
bracis-28405	83	37	uncertainty	uncertainty	NOUN
bracis-28405	83	38	in	in	ADP
bracis-28405	83	39	both	both	CCONJ
bracis-28405	83	40	the	the	DET
bracis-28405	83	41	decision	decision	NOUN
bracis-28405	83	42	variables	variable	NOUN
bracis-28405	83	43	and	and	CCONJ
bracis-28405	83	44	the	the	DET
bracis-28405	83	45	objective	objective	ADJ
bracis-28405	83	46	functions	function	NOUN
bracis-28405	83	47	.	.	PUNCT
bracis-28405	84	1	to	to	ADP
bracis-28405	84	2	date	date	NOUN
bracis-28405	84	3	,	,	PUNCT
bracis-28405	84	4	the	the	DET
bracis-28405	84	5	algorithms	algorithm	NOUN
bracis-28405	84	6	have	have	AUX
bracis-28405	84	7	only	only	ADV
bracis-28405	84	8	been	be	AUX
bracis-28405	84	9	tested	test	VERB
bracis-28405	84	10	in	in	ADP
bracis-28405	84	11	either	either	CCONJ
bracis-28405	84	12	robust	robust	ADJ
bracis-28405	84	13	optimization	optimization	NOUN
bracis-28405	84	14	or	or	CCONJ
bracis-28405	84	15	noisy	noisy	ADJ
bracis-28405	84	16	optimization	optimization	NOUN
bracis-28405	84	17	.	.	PUNCT
bracis-28405	85	1	they	they	PRON
bracis-28405	85	2	were	be	AUX
bracis-28405	85	3	designed	design	VERB
bracis-28405	85	4	specifically	specifically	ADV
bracis-28405	85	5	for	for	ADP
bracis-28405	85	6	one	one	NUM
bracis-28405	85	7	type	type	NOUN
bracis-28405	85	8	of	of	ADP
bracis-28405	85	9	uncertainty	uncertainty	NOUN
bracis-28405	85	10	,	,	PUNCT
bracis-28405	85	11	so	so	SCONJ
bracis-28405	85	12	the	the	DET
bracis-28405	85	13	question	question	NOUN
bracis-28405	85	14	is	be	AUX
bracis-28405	85	15	whether	whether	SCONJ
bracis-28405	85	16	they	they	PRON
bracis-28405	85	17	will	will	AUX
bracis-28405	85	18	perform	perform	VERB
bracis-28405	85	19	well	well	ADV
bracis-28405	85	20	in	in	ADP
bracis-28405	85	21	the	the	DET
bracis-28405	85	22	presence	presence	NOUN
bracis-28405	85	23	of	of	ADP
bracis-28405	85	24	two	two	NUM
bracis-28405	85	25	types	type	NOUN
bracis-28405	85	26	of	of	ADP
bracis-28405	85	27	uncertainty	uncertainty	NOUN
bracis-28405	85	28	simultaneously	simultaneously	ADV
bracis-28405	85	29	.	.	PUNCT
bracis-28405	86	1	the	the	DET
bracis-28405	86	2	test	test	NOUN
bracis-28405	86	3	function	function	NOUN
bracis-28405	86	4	used	use	VERB
bracis-28405	86	5	in	in	ADP
bracis-28405	86	6	this	this	DET
bracis-28405	86	7	study	study	NOUN
bracis-28405	86	8	is	be	AUX
bracis-28405	86	9	called	call	VERB
bracis-28405	86	10	gpd	gpd	PROPN
bracis-28405	86	11	and	and	CCONJ
bracis-28405	86	12	is	be	AUX
bracis-28405	86	13	taken	take	VERB
bracis-28405	86	14	from	from	ADP
bracis-28405	86	15	[	[	X
bracis-28405	86	16	18	18	NUM
bracis-28405	86	17	]	]	PUNCT
bracis-28405	86	18	.	.	PUNCT
bracis-28405	87	1	this	this	DET
bracis-28405	87	2	problem	problem	NOUN
bracis-28405	87	3	allows	allow	VERB
bracis-28405	87	4	for	for	ADP
bracis-28405	87	5	changing	change	VERB
bracis-28405	87	6	the	the	DET
bracis-28405	87	7	format	format	NOUN
bracis-28405	87	8	of	of	ADP
bracis-28405	87	9	the	the	DET
bracis-28405	87	10	pareto	pareto	ADJ
bracis-28405	87	11	front	front	NOUN
bracis-28405	87	12	through	through	ADP
bracis-28405	87	13	a	a	DET
bracis-28405	87	14	parameter	parameter	NOUN
bracis-28405	87	15	p.	p.	NOUN
bracis-28405	87	16	the	the	DET
bracis-28405	87	17	parameter	parameter	NOUN
bracis-28405	87	18	p	p	PROPN
bracis-28405	87	19	defines	define	VERB
bracis-28405	87	20	the	the	DET
bracis-28405	87	21	norm	norm	NOUN
bracis-28405	87	22	(	(	PUNCT
bracis-28405	87	23	\(p	\(p	PROPN
bracis-28405	87	24	\ge	\ge	PROPN
bracis-28405	87	25	1\	1\	NUM
bracis-28405	87	26	)	)	PUNCT
bracis-28405	87	27	)	)	PUNCT
bracis-28405	87	28	or	or	CCONJ
bracis-28405	87	29	quasi	quasi	NOUN
bracis-28405	87	30	-	-	NOUN
bracis-28405	87	31	norm	norm	NOUN
bracis-28405	87	32	(	(	PUNCT
bracis-28405	87	33	\(0	\(0	PROPN
bracis-28405	87	34	<	<	X
bracis-28405	87	35	p	p	X
bracis-28405	87	36	<	<	X
bracis-28405	87	37	1\	1\	NUM
bracis-28405	87	38	)	)	PUNCT
bracis-28405	87	39	)	)	PUNCT
bracis-28405	88	1	used	use	VERB
bracis-28405	88	2	in	in	ADP
bracis-28405	88	3	the	the	DET
bracis-28405	88	4	function	function	NOUN
bracis-28405	88	5	\(h({\textbf	\(h({\textbf	NOUN
bracis-28405	88	6	{	{	PUNCT
bracis-28405	88	7	x	x	NOUN
bracis-28405	88	8	}	}	PUNCT
bracis-28405	88	9	}	}	PUNCT
bracis-28405	88	10	)	)	PUNCT
bracis-28405	89	1	=	=	SYM
bracis-28405	90	1	||	||	NUM
bracis-28405	90	2	t({\textbf	t({\textbf	NOUN
bracis-28405	90	3	{	{	PUNCT
bracis-28405	90	4	x	x	NOUN
bracis-28405	90	5	}	}	PUNCT
bracis-28405	90	6	}	}	PUNCT
bracis-28405	90	7	)	)	PUNCT
bracis-28405	90	8	||_p\	||_p\	PROPN
bracis-28405	90	9	)	)	PUNCT
bracis-28405	90	10	.	.	PUNCT
bracis-28405	91	1	if	if	SCONJ
bracis-28405	91	2	\(0	\(0	PROPN
bracis-28405	91	3	<	<	X
bracis-28405	91	4	p	p	X
bracis-28405	91	5	<	<	X
bracis-28405	91	6	1\	1\	NUM
bracis-28405	91	7	)	)	PUNCT
bracis-28405	92	1	,	,	PUNCT
bracis-28405	92	2	the	the	DET
bracis-28405	92	3	pareto	pareto	ADJ
bracis-28405	92	4	front	front	NOUN
bracis-28405	92	5	is	be	AUX
bracis-28405	92	6	convex	convex	ADJ
bracis-28405	92	7	.	.	PUNCT
bracis-28405	93	1	if	if	SCONJ
bracis-28405	93	2	\(p=1\	\(p=1\	PROPN
bracis-28405	93	3	)	)	PUNCT
bracis-28405	93	4	,	,	PUNCT
bracis-28405	93	5	it	it	PRON
bracis-28405	93	6	is	be	AUX
bracis-28405	93	7	a	a	DET
bracis-28405	93	8	hyperplane	hyperplane	NOUN
bracis-28405	93	9	,	,	PUNCT
bracis-28405	93	10	and	and	CCONJ
bracis-28405	93	11	if	if	SCONJ
bracis-28405	93	12	\(p	\(p	PROPN
bracis-28405	93	13	>	>	X
bracis-28405	93	14	1\	1\	NUM
bracis-28405	93	15	)	)	PUNCT
bracis-28405	93	16	,	,	PUNCT
bracis-28405	93	17	it	it	PRON
bracis-28405	93	18	is	be	AUX
bracis-28405	93	19	concave	concave	VERB
bracis-28405	93	20	.	.	PUNCT
bracis-28405	94	1	in	in	ADP
bracis-28405	94	2	this	this	DET
bracis-28405	94	3	article	article	NOUN
bracis-28405	94	4	,	,	PUNCT
bracis-28405	94	5	it	it	PRON
bracis-28405	94	6	was	be	AUX
bracis-28405	94	7	defined	define	VERB
bracis-28405	94	8	as	as	SCONJ
bracis-28405	94	9	follows	follow	VERB
bracis-28405	94	10	:	:	PUNCT
bracis-28405	94	11	\(p	\(p	NOUN
bracis-28405	94	12	=	=	SYM
bracis-28405	94	13	0.5\	0.5\	NUM
bracis-28405	94	14	)	)	PUNCT
bracis-28405	94	15	or	or	CCONJ
bracis-28405	94	16	\(p	\(p	X
bracis-28405	94	17	=	=	SYM
bracis-28405	94	18	1\	1\	NUM
bracis-28405	94	19	)	)	PUNCT
bracis-28405	94	20	or	or	CCONJ
bracis-28405	94	21	\(p	\(p	X
bracis-28405	94	22	=	=	SYM
bracis-28405	94	23	2\	2\	PROPN
bracis-28405	94	24	)	)	PUNCT
bracis-28405	94	25	.	.	PUNCT
bracis-28405	95	1	the	the	DET
bracis-28405	95	2	focus	focus	NOUN
bracis-28405	95	3	of	of	ADP
bracis-28405	95	4	this	this	DET
bracis-28405	95	5	work	work	NOUN
bracis-28405	95	6	is	be	AUX
bracis-28405	95	7	to	to	PART
bracis-28405	95	8	assess	assess	VERB
bracis-28405	95	9	the	the	DET
bracis-28405	95	10	robustness	robustness	NOUN
bracis-28405	95	11	and	and	CCONJ
bracis-28405	95	12	noise	noise	NOUN
bracis-28405	95	13	tolerance	tolerance	NOUN
bracis-28405	95	14	of	of	ADP
bracis-28405	95	15	the	the	DET
bracis-28405	95	16	algorithms	algorithm	NOUN
bracis-28405	95	17	.	.	PUNCT
bracis-28405	96	1	to	to	PART
bracis-28405	96	2	achieve	achieve	VERB
bracis-28405	96	3	this	this	PRON
bracis-28405	96	4	,	,	PUNCT
bracis-28405	96	5	unrestricted	unrestricted	ADJ
bracis-28405	96	6	and	and	CCONJ
bracis-28405	96	7	bi	bi	ADJ
bracis-28405	96	8	-	-	ADJ
bracis-28405	96	9	objective	objective	ADJ
bracis-28405	96	10	problems	problem	NOUN
bracis-28405	96	11	were	be	AUX
bracis-28405	96	12	chosen	choose	VERB
bracis-28405	96	13	.	.	PUNCT
bracis-28405	97	1	the	the	DET
bracis-28405	97	2	problem	problem	NOUN
bracis-28405	97	3	gpd	gpd	PROPN
bracis-28405	97	4	is	be	AUX
bracis-28405	97	5	evaluated	evaluate	VERB
bracis-28405	97	6	according	accord	VERB
bracis-28405	97	7	to	to	ADP
bracis-28405	97	8	the	the	DET
bracis-28405	97	9	methodology	methodology	NOUN
bracis-28405	97	10	described	describe	VERB
bracis-28405	97	11	in	in	ADP
bracis-28405	97	12	[	[	X
bracis-28405	97	13	18	18	NUM
bracis-28405	97	14	]	]	PUNCT
bracis-28405	97	15	.	.	PUNCT
bracis-28405	98	1	as	as	SCONJ
bracis-28405	98	2	previously	previously	ADV
bracis-28405	98	3	stated	state	VERB
bracis-28405	98	4	,	,	PUNCT
bracis-28405	98	5	this	this	DET
bracis-28405	98	6	work	work	NOUN
bracis-28405	98	7	utilizes	utilize	VERB
bracis-28405	98	8	three	three	NUM
bracis-28405	98	9	models	model	NOUN
bracis-28405	98	10	of	of	ADP
bracis-28405	98	11	noise	noise	NOUN
bracis-28405	98	12	:	:	PUNCT
bracis-28405	98	13	gaussian	gaussian	ADJ
bracis-28405	98	14	,	,	PUNCT
bracis-28405	98	15	uniform	uniform	ADJ
bracis-28405	98	16	,	,	PUNCT
bracis-28405	98	17	and	and	CCONJ
bracis-28405	98	18	cauchy	cauchy	PROPN
bracis-28405	98	19	(	(	PUNCT
bracis-28405	98	20	\(\delta	\(\delta	NOUN
bracis-28405	98	21	_	_	NOUN
bracis-28405	98	22	f\	f\	NOUN
bracis-28405	98	23	)	)	PUNCT
bracis-28405	98	24	of	of	ADP
bracis-28405	98	25	eqs	eqs	PROPN
bracis-28405	98	26	.	.	PUNCT
bracis-28405	98	27	 	 	SPACE
bracis-28405	98	28	3	3	NUM
bracis-28405	98	29	and	and	CCONJ
bracis-28405	98	30	4	4	NUM
bracis-28405	98	31	)	)	PUNCT
bracis-28405	98	32	.	.	PUNCT
bracis-28405	99	1	these	these	DET
bracis-28405	99	2	noises	noise	NOUN
bracis-28405	99	3	will	will	AUX
bracis-28405	99	4	be	be	AUX
bracis-28405	99	5	incorporated	incorporate	VERB
bracis-28405	99	6	into	into	ADP
bracis-28405	99	7	the	the	DET
bracis-28405	99	8	function	function	NOUN
bracis-28405	99	9	generator	generator	NOUN
bracis-28405	99	10	.	.	PUNCT
bracis-28405	100	1	these	these	DET
bracis-28405	100	2	noise	noise	NOUN
bracis-28405	100	3	models	model	NOUN
bracis-28405	100	4	were	be	AUX
bracis-28405	100	5	adopted	adopt	VERB
bracis-28405	100	6	from	from	ADP
bracis-28405	100	7	the	the	DET
bracis-28405	100	8	work	work	NOUN
bracis-28405	100	9	of	of	ADP
bracis-28405	100	10	[	[	X
bracis-28405	100	11	8	8	NUM
bracis-28405	100	12	]	]	PUNCT
bracis-28405	100	13	(	(	PUNCT
bracis-28405	100	14	bbob	bbob	NOUN
bracis-28405	100	15	functions	function	NOUN
bracis-28405	100	16	)	)	PUNCT
bracis-28405	100	17	.	.	PUNCT
bracis-28405	101	1	finck	finck	INTJ
bracis-28405	101	2	et	et	PROPN
bracis-28405	101	3	al	al	PROPN
bracis-28405	101	4	.	.	PUNCT
bracis-28405	102	1	[	[	X
bracis-28405	102	2	8	8	NUM
bracis-28405	102	3	]	]	PUNCT
bracis-28405	102	4	defined	define	VERB
bracis-28405	102	5	two	two	NUM
bracis-28405	102	6	levels	level	NOUN
bracis-28405	102	7	of	of	ADP
bracis-28405	102	8	intensity	intensity	NOUN
bracis-28405	102	9	for	for	ADP
bracis-28405	102	10	the	the	DET
bracis-28405	102	11	noise	noise	NOUN
bracis-28405	102	12	:	:	PUNCT
bracis-28405	102	13	moderate	moderate	ADJ
bracis-28405	102	14	and	and	CCONJ
bracis-28405	102	15	severe	severe	ADJ
bracis-28405	102	16	.	.	PUNCT
bracis-28405	103	1	the	the	DET
bracis-28405	103	2	mathematical	mathematical	ADJ
bracis-28405	103	3	description	description	NOUN
bracis-28405	103	4	of	of	ADP
bracis-28405	103	5	the	the	DET
bracis-28405	103	6	three	three	NUM
bracis-28405	103	7	noise	noise	NOUN
bracis-28405	103	8	models	model	NOUN
bracis-28405	103	9	is	be	AUX
bracis-28405	103	10	presented	present	VERB
bracis-28405	103	11	below	below	ADV
bracis-28405	103	12	.	.	PUNCT
bracis-28405	104	1	gaussian	gaussian	ADJ
bracis-28405	104	2	noise	noise	NOUN
bracis-28405	104	3	$	$	SYM
bracis-28405	104	4	$	$	SYM
bracis-28405	104	5	\begin{aligned	\begin{aligne	VERB
bracis-28405	104	6	}	}	PUNCT
bracis-28405	104	7	f_{gn}(f,\beta	f_{gn}(f,\beta	NOUN
bracis-28405	104	8	)	)	PUNCT
bracis-28405	105	1	=	=	PUNCT
bracis-28405	106	1	f	f	PROPN
bracis-28405	106	2	\times	\times	ADP
bracis-28405	106	3	\exp	\exp	PROPN
bracis-28405	106	4	(	(	PUNCT
bracis-28405	106	5	\beta	\beta	PROPN
bracis-28405	106	6	\mathcal	\mathcal	PROPN
bracis-28405	106	7	{	{	PUNCT
bracis-28405	106	8	n}(0,1	n}(0,1	NOUN
bracis-28405	106	9	)	)	PUNCT
bracis-28405	106	10	)	)	PUNCT
bracis-28405	106	11	\end{aligned}$$	\end{aligned}$$	X
bracis-28405	106	12	(	(	PUNCT
bracis-28405	106	13	5	5	NUM
bracis-28405	106	14	)	)	PUNCT
bracis-28405	106	15	where	where	SCONJ
bracis-28405	106	16	\(\beta	\(\beta	PROPN
bracis-28405	106	17	\	\	PROPN
bracis-28405	106	18	)	)	PUNCT
bracis-28405	106	19	controls	control	VERB
bracis-28405	106	20	the	the	DET
bracis-28405	106	21	intensity	intensity	NOUN
bracis-28405	106	22	of	of	ADP
bracis-28405	106	23	the	the	DET
bracis-28405	106	24	noise	noise	NOUN
bracis-28405	106	25	and	and	CCONJ
bracis-28405	106	26	\(\mathcal	\(\mathcal	ADJ
bracis-28405	106	27	{	{	PUNCT
bracis-28405	106	28	n}(0,1)\	n}(0,1)\	PROPN
bracis-28405	106	29	)	)	PUNCT
bracis-28405	106	30	is	be	AUX
bracis-28405	106	31	a	a	DET
bracis-28405	106	32	random	random	ADJ
bracis-28405	106	33	variable	variable	NOUN
bracis-28405	106	34	with	with	ADP
bracis-28405	106	35	a	a	DET
bracis-28405	106	36	normal	normal	ADJ
bracis-28405	106	37	distribution	distribution	NOUN
bracis-28405	106	38	with	with	ADP
bracis-28405	106	39	a	a	DET
bracis-28405	106	40	mean	mean	NOUN
bracis-28405	106	41	of	of	ADP
bracis-28405	106	42	0	0	NUM
bracis-28405	106	43	and	and	CCONJ
bracis-28405	106	44	a	a	DET
bracis-28405	106	45	variance	variance	NOUN
bracis-28405	106	46	of	of	ADP
bracis-28405	106	47	1	1	NUM
bracis-28405	106	48	.	.	PUNCT
bracis-28405	106	49	uniform	uniform	NOUN
bracis-28405	106	50	noise	noise	VERB
bracis-28405	106	51	$	$	SYM
bracis-28405	106	52	$	$	SYM
bracis-28405	106	53	\begin{aligned	\begin{aligne	VERB
bracis-28405	106	54	}	}	PUNCT
bracis-28405	106	55	f_{un}(f,\alpha	f_{un}(f,\alpha	VERB
bracis-28405	106	56	,	,	PUNCT
bracis-28405	106	57	\beta	\beta	PROPN
bracis-28405	106	58	)	)	PUNCT
bracis-28405	107	1	=	=	PUNCT
bracis-28405	107	2	f	f	X
bracis-28405	108	1	\times	\times	ADP
bracis-28405	108	2	\mathcal	\mathcal	PROPN
bracis-28405	108	3	{	{	PUNCT
bracis-28405	108	4	u}(0,1)^\beta	u}(0,1)^\beta	PROPN
bracis-28405	108	5	\max	\max	PROPN
bracis-28405	108	6	\left	\left	PROPN
bracis-28405	108	7	(	(	PUNCT
bracis-28405	108	8	\begin{array}{c	\begin{array}{c	PROPN
bracis-28405	108	9	}	}	PUNCT
bracis-28405	108	10	1,(\frac{10	1,(\frac{10	NUM
bracis-28405	108	11	^	^	NOUN
bracis-28405	108	12	9}{f	9}{f	NUM
bracis-28405	108	13	+	+	NUM
bracis-28405	108	14	\epsilon	\epsilon	NOUN
bracis-28405	108	15	}	}	PUNCT
bracis-28405	108	16	)	)	PUNCT
bracis-28405	108	17	^{\alpha	^{\alpha	PUNCT
bracis-28405	109	1	\mathcal	\mathcal	ADJ
bracis-28405	109	2	{	{	PUNCT
bracis-28405	109	3	u}(0,1	u}(0,1	NOUN
bracis-28405	109	4	)	)	PUNCT
bracis-28405	109	5	}	}	PUNCT
bracis-28405	109	6	\end{array	\end{array	ADJ
bracis-28405	109	7	}	}	PUNCT
bracis-28405	109	8	\right	\right	PROPN
bracis-28405	109	9	)	)	PUNCT
bracis-28405	109	10	\end{aligned}$$	\end{aligned}$$	X
bracis-28405	109	11	(	(	PUNCT
bracis-28405	109	12	6	6	NUM
bracis-28405	109	13	)	)	PUNCT
bracis-28405	109	14	where	where	SCONJ
bracis-28405	109	15	\(\mathcal	\(\mathcal	ADJ
bracis-28405	109	16	{	{	PUNCT
bracis-28405	109	17	u}(0,1)\	u}(0,1)\	PROPN
bracis-28405	109	18	)	)	PUNCT
bracis-28405	109	19	represents	represent	VERB
bracis-28405	109	20	a	a	DET
bracis-28405	109	21	random	random	ADJ
bracis-28405	109	22	,	,	PUNCT
bracis-28405	109	23	uniformly	uniformly	ADV
bracis-28405	109	24	distributed	distribute	VERB
bracis-28405	109	25	number	number	NOUN
bracis-28405	109	26	in	in	ADP
bracis-28405	109	27	the	the	DET
bracis-28405	109	28	interval	interval	NOUN
bracis-28405	109	29	(	(	PUNCT
bracis-28405	109	30	0	0	NUM
bracis-28405	109	31	,	,	PUNCT
bracis-28405	109	32	 	 	SPACE
bracis-28405	109	33	1	1	NUM
bracis-28405	109	34	)	)	PUNCT
bracis-28405	109	35	and	and	CCONJ
bracis-28405	109	36	\(\alpha	\(\alpha	PROPN
bracis-28405	109	37	\	\	NOUN
bracis-28405	109	38	)	)	PUNCT
bracis-28405	109	39	is	be	AUX
bracis-28405	109	40	a	a	DET
bracis-28405	109	41	parameter	parameter	NOUN
bracis-28405	109	42	that	that	PRON
bracis-28405	109	43	controls	control	VERB
bracis-28405	109	44	the	the	DET
bracis-28405	109	45	intensity	intensity	NOUN
bracis-28405	109	46	of	of	ADP
bracis-28405	109	47	the	the	DET
bracis-28405	109	48	noise	noise	NOUN
bracis-28405	109	49	in	in	ADP
bracis-28405	109	50	conjunction	conjunction	NOUN
bracis-28405	109	51	with	with	ADP
bracis-28405	109	52	the	the	DET
bracis-28405	109	53	parameter	parameter	NOUN
bracis-28405	109	54	\(\beta	\(\beta	X
bracis-28405	109	55	\	\	PROPN
bracis-28405	109	56	)	)	PUNCT
bracis-28405	109	57	,	,	PUNCT
bracis-28405	109	58	resulting	result	VERB
bracis-28405	109	59	in	in	ADP
bracis-28405	109	60	two	two	NUM
bracis-28405	109	61	random	random	ADJ
bracis-28405	109	62	factors	factor	NOUN
bracis-28405	109	63	.	.	PUNCT
bracis-28405	110	1	the	the	DET
bracis-28405	110	2	first	first	ADJ
bracis-28405	110	3	factor	factor	NOUN
bracis-28405	110	4	is	be	AUX
bracis-28405	110	5	uniformly	uniformly	ADV
bracis-28405	110	6	distributed	distribute	VERB
bracis-28405	110	7	in	in	ADP
bracis-28405	110	8	the	the	DET
bracis-28405	110	9	interval	interval	NOUN
bracis-28405	110	10	[	[	X
bracis-28405	110	11	0,1	0,1	X
bracis-28405	110	12	]	]	PUNCT
bracis-28405	110	13	for	for	ADP
bracis-28405	110	14	\(\beta	\(\beta	NOUN
bracis-28405	110	15	=	=	SYM
bracis-28405	110	16	1\	1\	NUM
bracis-28405	110	17	)	)	PUNCT
bracis-28405	110	18	.	.	PUNCT
bracis-28405	111	1	the	the	DET
bracis-28405	111	2	second	second	ADJ
bracis-28405	111	3	factor	factor	NOUN
bracis-28405	111	4	(	(	PUNCT
bracis-28405	111	5	\(\max	\(\max	X
bracis-28405	111	6	\	\	PROPN
bracis-28405	111	7	)	)	PUNCT
bracis-28405	111	8	)	)	PUNCT
bracis-28405	111	9	is	be	AUX
bracis-28405	111	10	greater	great	ADJ
bracis-28405	111	11	than	than	ADP
bracis-28405	111	12	or	or	CCONJ
bracis-28405	111	13	equal	equal	ADJ
bracis-28405	111	14	to	to	ADP
bracis-28405	111	15	1	1	NUM
bracis-28405	111	16	.	.	PUNCT
bracis-28405	112	1	finally	finally	ADV
bracis-28405	112	2	,	,	PUNCT
bracis-28405	112	3	the	the	DET
bracis-28405	112	4	factor	factor	NOUN
bracis-28405	112	5	\(\epsilon	\(\epsilon	NOUN
bracis-28405	112	6	\	\	NOUN
bracis-28405	112	7	)	)	PUNCT
bracis-28405	112	8	is	be	AUX
bracis-28405	112	9	introduced	introduce	VERB
bracis-28405	112	10	to	to	PART
bracis-28405	112	11	avoid	avoid	VERB
bracis-28405	112	12	division	division	NOUN
bracis-28405	112	13	by	by	ADP
bracis-28405	112	14	zero	zero	NUM
bracis-28405	112	15	,	,	PUNCT
bracis-28405	112	16	with	with	ADP
bracis-28405	112	17	a	a	DET
bracis-28405	112	18	value	value	NOUN
bracis-28405	112	19	of	of	ADP
bracis-28405	112	20	\(10^{-99}\	\(10^{-99}\	PROPN
bracis-28405	112	21	)	)	PUNCT
bracis-28405	112	22	being	be	AUX
bracis-28405	112	23	adopted	adopt	VERB
bracis-28405	112	24	.	.	PUNCT
bracis-28405	113	1	the	the	DET
bracis-28405	113	2	uniform	uniform	ADJ
bracis-28405	113	3	noise	noise	NOUN
bracis-28405	113	4	is	be	AUX
bracis-28405	113	5	considered	consider	VERB
bracis-28405	113	6	to	to	PART
bracis-28405	113	7	be	be	AUX
bracis-28405	113	8	more	more	ADV
bracis-28405	113	9	severe	severe	ADJ
bracis-28405	113	10	than	than	ADP
bracis-28405	113	11	gaussian	gaussian	ADJ
bracis-28405	113	12	noise	noise	NOUN
bracis-28405	113	13	.	.	PUNCT
bracis-28405	114	1	cauchy	cauchy	PROPN
bracis-28405	114	2	noise	noise	VERB
bracis-28405	114	3	$	$	SYM
bracis-28405	114	4	$	$	SYM
bracis-28405	114	5	\begin{aligned	\begin{aligne	VERB
bracis-28405	114	6	}	}	PUNCT
bracis-28405	114	7	f_{cn}(f,\alpha	f_{cn}(f,\alpha	PUNCT
bracis-28405	114	8	,	,	PUNCT
bracis-28405	114	9	\text	\text	ADP
bracis-28405	114	10	{	{	PUNCT
bracis-28405	114	11	p	p	NOUN
bracis-28405	114	12	}	}	PUNCT
bracis-28405	114	13	)	)	PUNCT
bracis-28405	115	1	=	=	SYM
bracis-28405	115	2	f	f	X
bracis-28405	115	3	+	+	PROPN
bracis-28405	115	4	\alpha	\alpha	PROPN
bracis-28405	115	5	\left	\left	PROPN
bracis-28405	115	6	(	(	PUNCT
bracis-28405	115	7	\begin{array}{c	\begin{array}{c	PROPN
bracis-28405	115	8	}	}	PUNCT
bracis-28405	115	9	1000	1000	NUM
bracis-28405	115	10	+	+	CCONJ
bracis-28405	115	11	\mathbb	\mathbb	PROPN
bracis-28405	115	12	{	{	PUNCT
bracis-28405	115	13	i}_{\{\mathcal	i}_{\{\mathcal	NOUN
bracis-28405	115	14	{	{	PUNCT
bracis-28405	115	15	u}(0,1)<\text	u}(0,1)<\text	PROPN
bracis-28405	115	16	{	{	PUNCT
bracis-28405	115	17	p}\	p}\	NOUN
bracis-28405	115	18	}	}	PUNCT
bracis-28405	115	19	}	}	PUNCT
bracis-28405	115	20	\frac{\mathcal	\frac{\mathcal	ADJ
bracis-28405	115	21	{	{	PUNCT
bracis-28405	115	22	n}(0,1)}{|\mathcal	n}(0,1)}{|\mathcal	PROPN
bracis-28405	115	23	{	{	PUNCT
bracis-28405	115	24	n	n	NOUN
bracis-28405	115	25	}	}	PUNCT
bracis-28405	115	26	(	(	PUNCT
bracis-28405	115	27	0,1)|	0,1)|	NUM
bracis-28405	115	28	+	+	CCONJ
bracis-28405	115	29	\epsilon	\epsilon	NOUN
bracis-28405	115	30	}	}	PUNCT
bracis-28405	115	31	\end{array	\end{array	ADJ
bracis-28405	115	32	}	}	PUNCT
bracis-28405	115	33	\right	\right	PROPN
bracis-28405	115	34	)	)	PUNCT
bracis-28405	115	35	\end{aligned}$$	\end{aligned}$$	X
bracis-28405	116	1	(	(	PUNCT
bracis-28405	116	2	7	7	NUM
bracis-28405	116	3	)	)	PUNCT
bracis-28405	116	4	where	where	SCONJ
bracis-28405	116	5	\(\alpha	\(\alpha	ADV
bracis-28405	116	6	\	\	NOUN
bracis-28405	116	7	)	)	PUNCT
bracis-28405	116	8	defines	define	VERB
bracis-28405	116	9	the	the	DET
bracis-28405	116	10	intensity	intensity	NOUN
bracis-28405	116	11	of	of	ADP
bracis-28405	116	12	the	the	DET
bracis-28405	116	13	noise	noise	NOUN
bracis-28405	116	14	and	and	CCONJ
bracis-28405	116	15	p	p	NOUN
bracis-28405	116	16	determines	determine	VERB
bracis-28405	116	17	the	the	DET
bracis-28405	116	18	frequency	frequency	NOUN
bracis-28405	116	19	of	of	ADP
bracis-28405	116	20	the	the	DET
bracis-28405	116	21	noise	noise	NOUN
bracis-28405	116	22	disturbance	disturbance	NOUN
bracis-28405	116	23	.	.	PUNCT
bracis-28405	117	1	the	the	DET
bracis-28405	117	2	value	value	NOUN
bracis-28405	117	3	of	of	ADP
bracis-28405	117	4	\(\epsilon	\(\epsilon	NOUN
bracis-28405	117	5	\	\	NOUN
bracis-28405	117	6	)	)	PUNCT
bracis-28405	117	7	is	be	AUX
bracis-28405	117	8	\(10^{-199}\	\(10^{-199}\	NOUN
bracis-28405	117	9	)	)	PUNCT
bracis-28405	117	10	.	.	PUNCT
bracis-28405	118	1	this	this	DET
bracis-28405	118	2	noise	noise	NOUN
bracis-28405	118	3	model	model	NOUN
bracis-28405	118	4	has	have	VERB
bracis-28405	118	5	two	two	NUM
bracis-28405	118	6	important	important	ADJ
bracis-28405	118	7	characteristics	characteristic	NOUN
bracis-28405	118	8	.	.	PUNCT
bracis-28405	119	1	first	first	ADV
bracis-28405	119	2	,	,	PUNCT
bracis-28405	119	3	only	only	ADV
bracis-28405	119	4	a	a	DET
bracis-28405	119	5	small	small	ADJ
bracis-28405	119	6	percentage	percentage	NOUN
bracis-28405	119	7	of	of	ADP
bracis-28405	119	8	the	the	DET
bracis-28405	119	9	function	function	NOUN
bracis-28405	119	10	values	value	NOUN
bracis-28405	119	11	are	be	AUX
bracis-28405	119	12	affected	affect	VERB
bracis-28405	119	13	by	by	ADP
bracis-28405	119	14	noise	noise	NOUN
bracis-28405	119	15	.	.	PUNCT
bracis-28405	120	1	second	second	ADJ
bracis-28405	120	2	,	,	PUNCT
bracis-28405	120	3	the	the	DET
bracis-28405	120	4	noise	noise	NOUN
bracis-28405	120	5	distribution	distribution	NOUN
bracis-28405	120	6	is	be	AUX
bracis-28405	120	7	considered	consider	VERB
bracis-28405	120	8	to	to	PART
bracis-28405	120	9	be	be	AUX
bracis-28405	120	10	unusual	unusual	ADJ
bracis-28405	120	11	,	,	PUNCT
bracis-28405	120	12	with	with	ADP
bracis-28405	120	13	outliers	outlier	NOUN
bracis-28405	120	14	occurring	occur	VERB
bracis-28405	120	15	from	from	ADP
bracis-28405	120	16	time	time	NOUN
bracis-28405	120	17	to	to	ADP
bracis-28405	120	18	time	time	NOUN
bracis-28405	120	19	.	.	PUNCT
bracis-28405	121	1	the	the	DET
bracis-28405	121	2	gaussian	gaussian	ADJ
bracis-28405	121	3	and	and	CCONJ
bracis-28405	121	4	uniform	uniform	ADJ
bracis-28405	121	5	noises	noise	NOUN
bracis-28405	121	6	are	be	AUX
bracis-28405	121	7	multiplicative	multiplicative	ADJ
bracis-28405	121	8	,	,	PUNCT
bracis-28405	121	9	so	so	SCONJ
bracis-28405	121	10	the	the	DET
bracis-28405	121	11	intensity	intensity	NOUN
bracis-28405	121	12	remains	remain	VERB
bracis-28405	121	13	constant	constant	ADJ
bracis-28405	121	14	regardless	regardless	ADV
bracis-28405	121	15	of	of	ADP
bracis-28405	121	16	the	the	DET
bracis-28405	121	17	range	range	NOUN
bracis-28405	121	18	of	of	ADP
bracis-28405	121	19	values	value	NOUN
bracis-28405	121	20	in	in	ADP
bracis-28405	121	21	the	the	DET
bracis-28405	121	22	objective	objective	ADJ
bracis-28405	121	23	function	function	NOUN
bracis-28405	121	24	.	.	PUNCT
bracis-28405	122	1	for	for	ADP
bracis-28405	122	2	example	example	NOUN
bracis-28405	122	3	,	,	PUNCT
bracis-28405	122	4	if	if	SCONJ
bracis-28405	122	5	the	the	DET
bracis-28405	122	6	maximum	maximum	ADJ
bracis-28405	122	7	noise	noise	NOUN
bracis-28405	122	8	value	value	NOUN
bracis-28405	122	9	is	be	AUX
bracis-28405	122	10	5	5	NUM
bracis-28405	122	11	,	,	PUNCT
bracis-28405	122	12	the	the	DET
bracis-28405	122	13	effect	effect	NOUN
bracis-28405	122	14	on	on	ADP
bracis-28405	122	15	the	the	DET
bracis-28405	122	16	objective	objective	ADJ
bracis-28405	122	17	function	function	NOUN
bracis-28405	122	18	will	will	AUX
bracis-28405	122	19	be	be	AUX
bracis-28405	122	20	to	to	PART
bracis-28405	122	21	increase	increase	VERB
bracis-28405	122	22	its	its	PRON
bracis-28405	122	23	value	value	NOUN
bracis-28405	122	24	by	by	ADP
bracis-28405	122	25	5	5	NUM
bracis-28405	122	26	times	time	NOUN
bracis-28405	122	27	,	,	PUNCT
bracis-28405	122	28	whether	whether	SCONJ
bracis-28405	122	29	the	the	DET
bracis-28405	122	30	value	value	NOUN
bracis-28405	122	31	ranges	range	VERB
bracis-28405	122	32	from	from	ADP
bracis-28405	122	33	[	[	X
bracis-28405	122	34	0,1	0,1	NUM
bracis-28405	122	35	]	]	PUNCT
bracis-28405	122	36	or	or	CCONJ
bracis-28405	122	37	[	[	X
bracis-28405	122	38	0,100	0,100	NUM
bracis-28405	122	39	]	]	PUNCT
bracis-28405	122	40	.	.	PUNCT
bracis-28405	123	1	cauchy	cauchy	PROPN
bracis-28405	123	2	’s	’s	PART
bracis-28405	123	3	noise	noise	PROPN
bracis-28405	123	4	differs	differ	VERB
bracis-28405	123	5	from	from	ADP
bracis-28405	123	6	the	the	DET
bracis-28405	123	7	previous	previous	ADJ
bracis-28405	123	8	two	two	NUM
bracis-28405	123	9	in	in	ADP
bracis-28405	123	10	that	that	SCONJ
bracis-28405	123	11	it	it	PRON
bracis-28405	123	12	is	be	AUX
bracis-28405	123	13	additive	additive	ADJ
bracis-28405	123	14	.	.	PUNCT
bracis-28405	124	1	in	in	ADP
bracis-28405	124	2	this	this	DET
bracis-28405	124	3	case	case	NOUN
bracis-28405	124	4	,	,	PUNCT
bracis-28405	124	5	the	the	DET
bracis-28405	124	6	scale	scale	NOUN
bracis-28405	124	7	of	of	ADP
bracis-28405	124	8	the	the	DET
bracis-28405	124	9	objective	objective	ADJ
bracis-28405	124	10	function	function	NOUN
bracis-28405	124	11	must	must	AUX
bracis-28405	124	12	be	be	AUX
bracis-28405	124	13	considered	consider	VERB
bracis-28405	124	14	.	.	PUNCT
bracis-28405	125	1	for	for	ADP
bracis-28405	125	2	example	example	NOUN
bracis-28405	125	3	,	,	PUNCT
bracis-28405	125	4	if	if	SCONJ
bracis-28405	125	5	the	the	DET
bracis-28405	125	6	range	range	NOUN
bracis-28405	125	7	of	of	ADP
bracis-28405	125	8	values	value	NOUN
bracis-28405	125	9	for	for	ADP
bracis-28405	125	10	one	one	NUM
bracis-28405	125	11	problem	problem	NOUN
bracis-28405	125	12	is	be	AUX
bracis-28405	125	13	[	[	X
bracis-28405	125	14	0,1	0,1	NUM
bracis-28405	125	15	]	]	PUNCT
bracis-28405	125	16	and	and	CCONJ
bracis-28405	125	17	for	for	ADP
bracis-28405	125	18	another	another	DET
bracis-28405	125	19	problem	problem	NOUN
bracis-28405	125	20	is	be	AUX
bracis-28405	125	21	[	[	X
bracis-28405	125	22	0,100	0,100	NUM
bracis-28405	125	23	]	]	PUNCT
bracis-28405	125	24	,	,	PUNCT
bracis-28405	125	25	and	and	CCONJ
bracis-28405	125	26	the	the	DET
bracis-28405	125	27	noise	noise	NOUN
bracis-28405	125	28	peak	peak	NOUN
bracis-28405	125	29	has	have	VERB
bracis-28405	125	30	an	an	DET
bracis-28405	125	31	intensity	intensity	NOUN
bracis-28405	125	32	of	of	ADP
bracis-28405	125	33	1	1	NUM
bracis-28405	125	34	,	,	PUNCT
bracis-28405	125	35	the	the	DET
bracis-28405	125	36	intensity	intensity	NOUN
bracis-28405	125	37	for	for	ADP
bracis-28405	125	38	the	the	DET
bracis-28405	125	39	first	first	ADJ
bracis-28405	125	40	problem	problem	NOUN
bracis-28405	125	41	will	will	AUX
bracis-28405	125	42	be	be	AUX
bracis-28405	125	43	\(100\%\	\(100\%\	ADJ
bracis-28405	125	44	)	)	PUNCT
bracis-28405	125	45	since	since	SCONJ
bracis-28405	125	46	the	the	DET
bracis-28405	125	47	noise	noise	NOUN
bracis-28405	125	48	is	be	AUX
bracis-28405	125	49	additive	additive	ADJ
bracis-28405	125	50	,	,	PUNCT
bracis-28405	125	51	whereas	whereas	SCONJ
bracis-28405	125	52	,	,	PUNCT
bracis-28405	125	53	for	for	ADP
bracis-28405	125	54	the	the	DET
bracis-28405	125	55	second	second	ADJ
bracis-28405	125	56	problem	problem	NOUN
bracis-28405	125	57	,	,	PUNCT
bracis-28405	125	58	it	it	PRON
bracis-28405	125	59	will	will	AUX
bracis-28405	125	60	only	only	ADV
bracis-28405	125	61	be	be	AUX
bracis-28405	125	62	\(1\%\	\(1\%\	NOUN
bracis-28405	125	63	)	)	PUNCT
bracis-28405	125	64	.	.	PUNCT
bracis-28405	126	1	therefore	therefore	ADV
bracis-28405	126	2	,	,	PUNCT
bracis-28405	126	3	in	in	ADP
bracis-28405	126	4	this	this	DET
bracis-28405	126	5	article	article	NOUN
bracis-28405	126	6	,	,	PUNCT
bracis-28405	126	7	eq	eq	PROPN
bracis-28405	126	8	.	.	PROPN
bracis-28405	126	9	 	 	SPACE
bracis-28405	126	10	7	7	NUM
bracis-28405	126	11	will	will	AUX
bracis-28405	126	12	not	not	PART
bracis-28405	126	13	include	include	VERB
bracis-28405	126	14	the	the	DET
bracis-28405	126	15	1000	1000	NUM
bracis-28405	126	16	summation	summation	NOUN
bracis-28405	126	17	term	term	NOUN
bracis-28405	126	18	.	.	PUNCT
bracis-28405	127	1	in	in	ADP
bracis-28405	127	2	this	this	DET
bracis-28405	127	3	article	article	NOUN
bracis-28405	127	4	,	,	PUNCT
bracis-28405	127	5	the	the	DET
bracis-28405	127	6	intensity	intensity	NOUN
bracis-28405	127	7	values	value	VERB
bracis-28405	127	8	from	from	ADP
bracis-28405	127	9	[	[	X
bracis-28405	127	10	8	8	NUM
bracis-28405	127	11	]	]	PUNCT
bracis-28405	127	12	are	be	AUX
bracis-28405	127	13	kept.footnote	kept.footnote	NUM
bracis-28405	127	14	1	1	NUM
bracis-28405	127	15	4	4	NUM
bracis-28405	127	16	computational	computational	ADJ
bracis-28405	127	17	experiment	experiment	NOUN
bracis-28405	127	18	in	in	ADP
bracis-28405	127	19	this	this	DET
bracis-28405	127	20	section	section	NOUN
bracis-28405	127	21	,	,	PUNCT
bracis-28405	127	22	the	the	DET
bracis-28405	127	23	computational	computational	ADJ
bracis-28405	127	24	experiments	experiment	NOUN
bracis-28405	127	25	will	will	AUX
bracis-28405	127	26	be	be	AUX
bracis-28405	127	27	presented	present	VERB
bracis-28405	127	28	.	.	PUNCT
bracis-28405	128	1	a	a	DET
bracis-28405	128	2	brief	brief	ADJ
bracis-28405	128	3	description	description	NOUN
bracis-28405	128	4	of	of	ADP
bracis-28405	128	5	the	the	DET
bracis-28405	128	6	three	three	NUM
bracis-28405	128	7	selected	select	VERB
bracis-28405	128	8	algorithms	algorithm	NOUN
bracis-28405	128	9	and	and	CCONJ
bracis-28405	128	10	the	the	DET
bracis-28405	128	11	testing	testing	NOUN
bracis-28405	128	12	setup	setup	NOUN
bracis-28405	128	13	will	will	AUX
bracis-28405	128	14	be	be	AUX
bracis-28405	128	15	provided	provide	VERB
bracis-28405	128	16	.	.	PUNCT
bracis-28405	129	1	subsequently	subsequently	ADV
bracis-28405	129	2	,	,	PUNCT
bracis-28405	129	3	the	the	DET
bracis-28405	129	4	solutions	solution	NOUN
bracis-28405	129	5	that	that	PRON
bracis-28405	129	6	the	the	DET
bracis-28405	129	7	algorithms	algorithm	NOUN
bracis-28405	129	8	found	find	VERB
bracis-28405	129	9	for	for	ADP
bracis-28405	129	10	problems	problem	NOUN
bracis-28405	129	11	with	with	ADP
bracis-28405	129	12	perturbation	perturbation	NOUN
bracis-28405	129	13	and/or	and/or	CCONJ
bracis-28405	129	14	noise	noise	NOUN
bracis-28405	129	15	will	will	AUX
bracis-28405	129	16	be	be	AUX
bracis-28405	129	17	displayed	display	VERB
bracis-28405	129	18	.	.	PUNCT
bracis-28405	130	1	finally	finally	ADV
bracis-28405	130	2	,	,	PUNCT
bracis-28405	130	3	a	a	DET
bracis-28405	130	4	discussion	discussion	NOUN
bracis-28405	130	5	of	of	ADP
bracis-28405	130	6	the	the	DET
bracis-28405	130	7	results	result	NOUN
bracis-28405	130	8	will	will	AUX
bracis-28405	130	9	be	be	AUX
bracis-28405	130	10	made	make	VERB
bracis-28405	130	11	.	.	PUNCT
bracis-28405	131	1	4.1	4.1	NUM
bracis-28405	131	2	algorithms	algorithm	NOUN
bracis-28405	131	3	typically	typically	ADV
bracis-28405	131	4	,	,	PUNCT
bracis-28405	131	5	robustness	robustness	NOUN
bracis-28405	131	6	measures	measure	NOUN
bracis-28405	131	7	(	(	PUNCT
bracis-28405	131	8	discussed	discuss	VERB
bracis-28405	131	9	in	in	ADP
bracis-28405	131	10	sect	sect	NOUN
bracis-28405	131	11	.	.	PUNCT
bracis-28405	131	12	 	 	SPACE
bracis-28405	131	13	2.2	2.2	NUM
bracis-28405	131	14	)	)	PUNCT
bracis-28405	131	15	are	be	AUX
bracis-28405	131	16	employed	employ	VERB
bracis-28405	131	17	to	to	PART
bracis-28405	131	18	account	account	VERB
bracis-28405	131	19	for	for	ADP
bracis-28405	131	20	uncertainties	uncertainty	NOUN
bracis-28405	131	21	,	,	PUNCT
bracis-28405	131	22	resulting	result	VERB
bracis-28405	131	23	in	in	ADP
bracis-28405	131	24	a	a	DET
bracis-28405	131	25	new	new	ADJ
bracis-28405	131	26	objective	objective	ADJ
bracis-28405	131	27	function	function	NOUN
bracis-28405	131	28	.	.	PUNCT
bracis-28405	132	1	as	as	ADP
bracis-28405	132	2	a	a	DET
bracis-28405	132	3	result	result	NOUN
bracis-28405	132	4	,	,	PUNCT
bracis-28405	132	5	existing	exist	VERB
bracis-28405	132	6	algorithms	algorithm	NOUN
bracis-28405	132	7	in	in	ADP
bracis-28405	132	8	the	the	DET
bracis-28405	132	9	literature	literature	NOUN
bracis-28405	132	10	are	be	AUX
bracis-28405	132	11	transformed	transform	VERB
bracis-28405	132	12	into	into	ADP
bracis-28405	132	13	robust	robust	ADJ
bracis-28405	132	14	versions	version	NOUN
bracis-28405	132	15	.	.	PUNCT
bracis-28405	133	1	for	for	ADP
bracis-28405	133	2	instance	instance	NOUN
bracis-28405	133	3	,	,	PUNCT
bracis-28405	133	4	the	the	DET
bracis-28405	133	5	rmoea	rmoea	NOUN
bracis-28405	133	6	/	/	SYM
bracis-28405	133	7	d	d	NOUN
bracis-28405	133	8	employs	employ	VERB
bracis-28405	133	9	moea	moea	NOUN
bracis-28405	133	10	/	/	SYM
bracis-28405	133	11	d	d	PROPN
bracis-28405	134	1	[	[	X
bracis-28405	134	2	27	27	NUM
bracis-28405	134	3	]	]	PUNCT
bracis-28405	134	4	and	and	CCONJ
bracis-28405	134	5	the	the	DET
bracis-28405	134	6	rnsga	rnsga	PROPN
bracis-28405	134	7	-	-	PUNCT
bracis-28405	134	8	ii	ii	PROPN
bracis-28405	134	9	employs	employ	VERB
bracis-28405	134	10	nsga	nsga	NOUN
bracis-28405	134	11	-	-	PUNCT
bracis-28405	134	12	ii	ii	NOUN
bracis-28405	135	1	[	[	X
bracis-28405	135	2	5	5	NUM
bracis-28405	135	3	]	]	PUNCT
bracis-28405	135	4	,	,	PUNCT
bracis-28405	135	5	with	with	ADP
bracis-28405	135	6	the	the	DET
bracis-28405	135	7	addition	addition	NOUN
bracis-28405	135	8	of	of	ADP
bracis-28405	135	9	monte	monte	PROPN
bracis-28405	135	10	carlo	carlo	NOUN
bracis-28405	135	11	sampling	sample	VERB
bracis-28405	135	12	in	in	ADP
bracis-28405	135	13	the	the	DET
bracis-28405	135	14	uncertainty	uncertainty	NOUN
bracis-28405	135	15	space	space	NOUN
bracis-28405	135	16	.	.	PUNCT
bracis-28405	136	1	the	the	DET
bracis-28405	136	2	average	average	NOUN
bracis-28405	136	3	of	of	ADP
bracis-28405	136	4	this	this	DET
bracis-28405	136	5	sampling	sampling	NOUN
bracis-28405	136	6	is	be	AUX
bracis-28405	136	7	then	then	ADV
bracis-28405	136	8	calculated	calculate	VERB
bracis-28405	136	9	[	[	X
bracis-28405	136	10	6	6	NUM
bracis-28405	136	11	]	]	PUNCT
bracis-28405	136	12	.	.	PUNCT
bracis-28405	137	1	the	the	DET
bracis-28405	137	2	rmoea	rmoea	NOUN
bracis-28405	137	3	/	/	SYM
bracis-28405	137	4	d	d	NOUN
bracis-28405	137	5	selects	select	VERB
bracis-28405	137	6	a	a	DET
bracis-28405	137	7	set	set	NOUN
bracis-28405	137	8	of	of	ADP
bracis-28405	137	9	vectors	vector	NOUN
bracis-28405	137	10	with	with	ADP
bracis-28405	137	11	the	the	DET
bracis-28405	137	12	best	good	ADJ
bracis-28405	137	13	weighting	weighting	NOUN
bracis-28405	137	14	.	.	PUNCT
bracis-28405	138	1	c	c	X
bracis-28405	138	2	-	-	PUNCT
bracis-28405	138	3	rmoea	rmoea	VERB
bracis-28405	138	4	/	/	SYM
bracis-28405	139	1	d	d	PROPN
bracis-28405	140	1	[	[	X
bracis-28405	140	2	19	19	NUM
bracis-28405	140	3	]	]	PUNCT
bracis-28405	140	4	is	be	AUX
bracis-28405	140	5	a	a	DET
bracis-28405	140	6	coevolutionary	coevolutionary	ADJ
bracis-28405	140	7	algorithm	algorithm	NOUN
bracis-28405	140	8	for	for	ADP
bracis-28405	140	9	robust	robust	ADJ
bracis-28405	140	10	multi	multi	ADJ
bracis-28405	140	11	-	-	ADJ
bracis-28405	140	12	objective	objective	ADJ
bracis-28405	140	13	optimization	optimization	NOUN
bracis-28405	140	14	that	that	PRON
bracis-28405	140	15	employs	employ	VERB
bracis-28405	140	16	the	the	DET
bracis-28405	140	17	worst	bad	ADJ
bracis-28405	140	18	-	-	PUNCT
bracis-28405	140	19	case	case	NOUN
bracis-28405	140	20	minimization	minimization	NOUN
bracis-28405	140	21	methodology	methodology	NOUN
bracis-28405	140	22	and	and	CCONJ
bracis-28405	140	23	the	the	DET
bracis-28405	140	24	decomposition	decomposition	NOUN
bracis-28405	140	25	/	/	SYM
bracis-28405	140	26	aggregation	aggregation	NOUN
bracis-28405	140	27	strategy	strategy	NOUN
bracis-28405	140	28	.	.	PUNCT
bracis-28405	141	1	the	the	DET
bracis-28405	141	2	decomposition	decomposition	NOUN
bracis-28405	141	3	approach	approach	NOUN
bracis-28405	141	4	facilitates	facilitate	VERB
bracis-28405	141	5	the	the	DET
bracis-28405	141	6	implementation	implementation	NOUN
bracis-28405	141	7	of	of	ADP
bracis-28405	141	8	a	a	DET
bracis-28405	141	9	coevolutionary	coevolutionary	ADJ
bracis-28405	141	10	approach	approach	NOUN
bracis-28405	141	11	[	[	X
bracis-28405	141	12	19	19	NUM
bracis-28405	141	13	]	]	PUNCT
bracis-28405	141	14	.	.	PUNCT
bracis-28405	142	1	the	the	DET
bracis-28405	142	2	algorithm	algorithm	NOUN
bracis-28405	142	3	uses	use	VERB
bracis-28405	142	4	a	a	DET
bracis-28405	142	5	competitive	competitive	ADJ
bracis-28405	142	6	strategy	strategy	NOUN
bracis-28405	142	7	between	between	ADP
bracis-28405	142	8	two	two	NUM
bracis-28405	142	9	populations	population	NOUN
bracis-28405	142	10	of	of	ADP
bracis-28405	142	11	candidate	candidate	NOUN
bracis-28405	142	12	solutions	solution	NOUN
bracis-28405	142	13	,	,	PUNCT
bracis-28405	142	14	with	with	ADP
bracis-28405	142	15	x	x	PUNCT
bracis-28405	142	16	being	be	AUX
bracis-28405	142	17	a	a	DET
bracis-28405	142	18	set	set	NOUN
bracis-28405	142	19	of	of	ADP
bracis-28405	142	20	vectors	vector	NOUN
bracis-28405	142	21	from	from	ADP
bracis-28405	142	22	the	the	DET
bracis-28405	142	23	decision	decision	NOUN
bracis-28405	142	24	space	space	NOUN
bracis-28405	142	25	and	and	CCONJ
bracis-28405	142	26	\(\vardelta	\(\vardelta	NOUN
bracis-28405	142	27	\	\	ADJ
bracis-28405	142	28	)	)	PUNCT
bracis-28405	142	29	being	be	AUX
bracis-28405	142	30	a	a	DET
bracis-28405	142	31	set	set	NOUN
bracis-28405	142	32	of	of	ADP
bracis-28405	142	33	perturbation	perturbation	NOUN
bracis-28405	142	34	vectors	vector	NOUN
bracis-28405	142	35	.	.	PUNCT
bracis-28405	143	1	the	the	DET
bracis-28405	143	2	rnsga	rnsga	PROPN
bracis-28405	143	3	-	-	PUNCT
bracis-28405	143	4	ii	ii	PROPN
bracis-28405	143	5	and	and	CCONJ
bracis-28405	143	6	rmoea	rmoea	NOUN
bracis-28405	143	7	/	/	SYM
bracis-28405	143	8	d	d	NOUN
bracis-28405	143	9	employ	employ	VERB
bracis-28405	143	10	a	a	DET
bracis-28405	143	11	probabilistic	probabilistic	ADJ
bracis-28405	143	12	robustness	robustness	NOUN
bracis-28405	143	13	measure	measure	NOUN
bracis-28405	143	14	,	,	PUNCT
bracis-28405	143	15	whereas	whereas	SCONJ
bracis-28405	143	16	c	c	NOUN
bracis-28405	143	17	-	-	PUNCT
bracis-28405	143	18	rmoea	rmoea	VERB
bracis-28405	143	19	/	/	SYM
bracis-28405	143	20	d	d	NOUN
bracis-28405	143	21	is	be	AUX
bracis-28405	143	22	a	a	DET
bracis-28405	143	23	coevolutionary	coevolutionary	ADJ
bracis-28405	143	24	algorithm	algorithm	NOUN
bracis-28405	143	25	that	that	PRON
bracis-28405	143	26	uses	use	VERB
bracis-28405	143	27	a	a	DET
bracis-28405	143	28	deterministic	deterministic	ADJ
bracis-28405	143	29	robustness	robustness	NOUN
bracis-28405	143	30	measure	measure	NOUN
bracis-28405	143	31	.	.	PUNCT
bracis-28405	144	1	other	other	ADJ
bracis-28405	144	2	recent	recent	ADJ
bracis-28405	144	3	strategies	strategy	NOUN
bracis-28405	144	4	for	for	ADP
bracis-28405	144	5	robust	robust	ADJ
bracis-28405	144	6	optimization	optimization	NOUN
bracis-28405	144	7	or	or	CCONJ
bracis-28405	144	8	noisy	noisy	ADJ
bracis-28405	144	9	optimization	optimization	NOUN
bracis-28405	144	10	can	can	AUX
bracis-28405	144	11	be	be	AUX
bracis-28405	144	12	found	find	VERB
bracis-28405	144	13	at	at	ADP
bracis-28405	144	14	[	[	X
bracis-28405	144	15	15	15	NUM
bracis-28405	144	16	,	,	PUNCT
bracis-28405	144	17	16	16	NUM
bracis-28405	144	18	,	,	PUNCT
bracis-28405	144	19	26	26	NUM
bracis-28405	144	20	]	]	PUNCT
bracis-28405	144	21	.	.	PUNCT
bracis-28405	145	1	4.2	4.2	NUM
bracis-28405	145	2	experimental	experimental	ADJ
bracis-28405	145	3	setup	setup	NOUN
bracis-28405	145	4	the	the	DET
bracis-28405	145	5	function	function	NOUN
bracis-28405	145	6	generator	generator	NOUN
bracis-28405	145	7	extension	extension	NOUN
bracis-28405	145	8	(	(	PUNCT
bracis-28405	145	9	sect	sect	NOUN
bracis-28405	145	10	.	.	PUNCT
bracis-28405	145	11	 	 	SPACE
bracis-28405	145	12	3	3	X
bracis-28405	145	13	)	)	PUNCT
bracis-28405	145	14	will	will	AUX
bracis-28405	145	15	be	be	AUX
bracis-28405	145	16	utilized	utilize	VERB
bracis-28405	145	17	in	in	ADP
bracis-28405	145	18	the	the	DET
bracis-28405	145	19	experiments	experiment	NOUN
bracis-28405	145	20	.	.	PUNCT
bracis-28405	146	1	the	the	DET
bracis-28405	146	2	pareto	pareto	ADJ
bracis-28405	146	3	front	front	NOUN
bracis-28405	146	4	will	will	AUX
bracis-28405	146	5	be	be	AUX
bracis-28405	146	6	tested	test	VERB
bracis-28405	146	7	with	with	ADP
bracis-28405	146	8	convex	convex	PROPN
bracis-28405	146	9	,	,	PUNCT
bracis-28405	146	10	linear	linear	ADJ
bracis-28405	146	11	,	,	PUNCT
bracis-28405	146	12	and	and	CCONJ
bracis-28405	146	13	concave	concave	VERB
bracis-28405	146	14	formats	format	NOUN
bracis-28405	146	15	with	with	ADP
bracis-28405	146	16	simultaneous	simultaneous	ADJ
bracis-28405	146	17	uncertainties	uncertainty	NOUN
bracis-28405	146	18	.	.	PUNCT
bracis-28405	147	1	problems	problem	NOUN
bracis-28405	147	2	with	with	ADP
bracis-28405	147	3	only	only	ADJ
bracis-28405	147	4	perturbations	perturbation	NOUN
bracis-28405	147	5	or	or	CCONJ
bracis-28405	147	6	noise	noise	NOUN
bracis-28405	147	7	will	will	AUX
bracis-28405	147	8	be	be	AUX
bracis-28405	147	9	demonstrated	demonstrate	VERB
bracis-28405	147	10	using	use	VERB
bracis-28405	147	11	the	the	DET
bracis-28405	147	12	concave	concave	ADJ
bracis-28405	147	13	pareto	pareto	ADJ
bracis-28405	147	14	front	front	NOUN
bracis-28405	147	15	.	.	PUNCT
bracis-28405	148	1	the	the	DET
bracis-28405	148	2	primary	primary	ADJ
bracis-28405	148	3	aim	aim	NOUN
bracis-28405	148	4	of	of	ADP
bracis-28405	148	5	this	this	DET
bracis-28405	148	6	study	study	NOUN
bracis-28405	148	7	is	be	AUX
bracis-28405	148	8	to	to	PART
bracis-28405	148	9	evaluate	evaluate	VERB
bracis-28405	148	10	algorithms	algorithm	NOUN
bracis-28405	148	11	in	in	ADP
bracis-28405	148	12	the	the	DET
bracis-28405	148	13	presence	presence	NOUN
bracis-28405	148	14	of	of	ADP
bracis-28405	148	15	simultaneous	simultaneous	ADJ
bracis-28405	148	16	uncertainties	uncertainty	NOUN
bracis-28405	148	17	.	.	PUNCT
bracis-28405	149	1	to	to	PART
bracis-28405	149	2	achieve	achieve	VERB
bracis-28405	149	3	this	this	PRON
bracis-28405	149	4	,	,	PUNCT
bracis-28405	149	5	the	the	DET
bracis-28405	149	6	tests	test	NOUN
bracis-28405	149	7	will	will	AUX
bracis-28405	149	8	be	be	AUX
bracis-28405	149	9	conducted	conduct	VERB
bracis-28405	149	10	with	with	ADP
bracis-28405	149	11	bi	bi	ADJ
bracis-28405	149	12	-	-	ADJ
bracis-28405	149	13	objective	objective	ADJ
bracis-28405	149	14	and	and	CCONJ
bracis-28405	149	15	unconstrained	unconstrained	ADJ
bracis-28405	149	16	scenarios	scenario	NOUN
bracis-28405	149	17	.	.	PUNCT
bracis-28405	150	1	as	as	SCONJ
bracis-28405	150	2	mentioned	mention	VERB
bracis-28405	150	3	earlier	early	ADV
bracis-28405	150	4	,	,	PUNCT
bracis-28405	150	5	the	the	DET
bracis-28405	150	6	function	function	NOUN
bracis-28405	150	7	generator	generator	NOUN
bracis-28405	150	8	is	be	AUX
bracis-28405	150	9	adaptable	adaptable	ADJ
bracis-28405	150	10	to	to	ADP
bracis-28405	150	11	these	these	DET
bracis-28405	150	12	parameters	parameter	NOUN
bracis-28405	150	13	.	.	PUNCT
bracis-28405	151	1	tests	test	NOUN
bracis-28405	151	2	with	with	ADP
bracis-28405	151	3	perturbations	perturbation	NOUN
bracis-28405	151	4	only	only	ADV
bracis-28405	151	5	(	(	PUNCT
bracis-28405	151	6	robust	robust	ADJ
bracis-28405	151	7	optimization	optimization	NOUN
bracis-28405	151	8	)	)	PUNCT
bracis-28405	151	9	are	be	AUX
bracis-28405	151	10	conducted	conduct	VERB
bracis-28405	151	11	as	as	SCONJ
bracis-28405	151	12	shown	show	VERB
bracis-28405	151	13	in	in	ADP
bracis-28405	151	14	[	[	X
bracis-28405	151	15	18	18	NUM
bracis-28405	151	16	]	]	PUNCT
bracis-28405	151	17	.	.	PUNCT
bracis-28405	152	1	the	the	DET
bracis-28405	152	2	following	follow	VERB
bracis-28405	152	3	parameters	parameter	NOUN
bracis-28405	152	4	were	be	AUX
bracis-28405	152	5	used	use	VERB
bracis-28405	152	6	for	for	ADP
bracis-28405	152	7	all	all	DET
bracis-28405	152	8	tests	test	NOUN
bracis-28405	152	9	:	:	PUNCT
bracis-28405	152	10	a	a	DET
bracis-28405	152	11	population	population	NOUN
bracis-28405	152	12	size	size	NOUN
bracis-28405	152	13	of	of	ADP
bracis-28405	152	14	210	210	NUM
bracis-28405	152	15	;	;	PUNCT
bracis-28405	152	16	a	a	DET
bracis-28405	152	17	total	total	NOUN
bracis-28405	152	18	of	of	ADP
bracis-28405	152	19	24	24	NUM
bracis-28405	152	20	decision	decision	NOUN
bracis-28405	152	21	variables	variable	NOUN
bracis-28405	152	22	;	;	PUNCT
bracis-28405	152	23	the	the	DET
bracis-28405	152	24	stopping	stop	VERB
bracis-28405	152	25	criterion	criterion	NOUN
bracis-28405	152	26	is	be	AUX
bracis-28405	152	27	the	the	DET
bracis-28405	152	28	maximum	maximum	ADJ
bracis-28405	152	29	number	number	NOUN
bracis-28405	152	30	of	of	ADP
bracis-28405	152	31	evaluations	evaluation	NOUN
bracis-28405	152	32	of	of	ADP
bracis-28405	152	33	the	the	DET
bracis-28405	152	34	objective	objective	ADJ
bracis-28405	152	35	function	function	NOUN
bracis-28405	152	36	,	,	PUNCT
bracis-28405	152	37	equal	equal	ADJ
bracis-28405	152	38	to	to	ADP
bracis-28405	152	39	150,000	150,000	NUM
bracis-28405	152	40	.	.	PUNCT
bracis-28405	153	1	the	the	DET
bracis-28405	153	2	rnsga	rnsga	PROPN
bracis-28405	153	3	-	-	PUNCT
bracis-28405	153	4	ii	ii	PROPN
bracis-28405	153	5	and	and	CCONJ
bracis-28405	153	6	rmoea	rmoea	NOUN
bracis-28405	153	7	/	/	SYM
bracis-28405	153	8	d	d	NOUN
bracis-28405	153	9	algorithms	algorithm	NOUN
bracis-28405	153	10	used	use	VERB
bracis-28405	153	11	100	100	NUM
bracis-28405	153	12	samples	sample	NOUN
bracis-28405	153	13	for	for	ADP
bracis-28405	153	14	averaging	average	VERB
bracis-28405	153	15	.	.	PUNCT
bracis-28405	154	1	the	the	DET
bracis-28405	154	2	c	c	NOUN
bracis-28405	154	3	-	-	PUNCT
bracis-28405	154	4	rmoea	rmoea	NOUN
bracis-28405	154	5	/	/	SYM
bracis-28405	154	6	d	d	NOUN
bracis-28405	154	7	used	use	VERB
bracis-28405	154	8	the	the	DET
bracis-28405	154	9	pbifootnote	pbifootnote	ADJ
bracis-28405	154	10	2	2	NUM
bracis-28405	154	11	(	(	PUNCT
bracis-28405	154	12	penalty	penalty	NOUN
bracis-28405	154	13	boundary	boundary	NOUN
bracis-28405	154	14	intersection	intersection	NOUN
bracis-28405	154	15	)	)	PUNCT
bracis-28405	154	16	aggregation	aggregation	NOUN
bracis-28405	154	17	function	function	NOUN
bracis-28405	154	18	and	and	CCONJ
bracis-28405	154	19	a	a	DET
bracis-28405	154	20	subpopulation	subpopulation	NOUN
bracis-28405	154	21	size	size	NOUN
bracis-28405	154	22	of	of	ADP
bracis-28405	154	23	15	15	NUM
bracis-28405	154	24	.	.	PUNCT
bracis-28405	155	1	the	the	DET
bracis-28405	155	2	rmoea	rmoea	NOUN
bracis-28405	155	3	/	/	SYM
bracis-28405	155	4	d	d	PROPN
bracis-28405	155	5	also	also	ADV
bracis-28405	155	6	utilized	utilize	VERB
bracis-28405	155	7	a	a	DET
bracis-28405	155	8	subpopulation	subpopulation	NOUN
bracis-28405	155	9	size	size	NOUN
bracis-28405	155	10	of	of	ADP
bracis-28405	155	11	15	15	NUM
bracis-28405	155	12	.	.	PUNCT
bracis-28405	156	1	4.3	4.3	NUM
bracis-28405	156	2	results	result	VERB
bracis-28405	156	3	the	the	DET
bracis-28405	156	4	results	result	NOUN
bracis-28405	156	5	will	will	AUX
bracis-28405	156	6	be	be	AUX
bracis-28405	156	7	presented	present	VERB
bracis-28405	156	8	in	in	ADP
bracis-28405	156	9	three	three	NUM
bracis-28405	156	10	parts	part	NOUN
bracis-28405	156	11	:	:	PUNCT
bracis-28405	156	12	(	(	PUNCT
bracis-28405	156	13	i	i	NOUN
bracis-28405	156	14	)	)	PUNCT
bracis-28405	156	15	robust	robust	ADJ
bracis-28405	156	16	optimization	optimization	NOUN
bracis-28405	156	17	(	(	PUNCT
bracis-28405	156	18	with	with	ADP
bracis-28405	156	19	only	only	ADJ
bracis-28405	156	20	perturbation	perturbation	NOUN
bracis-28405	156	21	)	)	PUNCT
bracis-28405	156	22	;	;	PUNCT
bracis-28405	156	23	(	(	PUNCT
bracis-28405	156	24	ii	ii	NOUN
bracis-28405	156	25	)	)	PUNCT
bracis-28405	156	26	noisy	noisy	ADJ
bracis-28405	156	27	optimization	optimization	NOUN
bracis-28405	156	28	(	(	PUNCT
bracis-28405	156	29	with	with	ADP
bracis-28405	156	30	only	only	ADJ
bracis-28405	156	31	noise	noise	NOUN
bracis-28405	156	32	)	)	PUNCT
bracis-28405	156	33	;	;	PUNCT
bracis-28405	156	34	(	(	PUNCT
bracis-28405	156	35	iii	iii	NOUN
bracis-28405	156	36	)	)	PUNCT
bracis-28405	156	37	robust	robust	ADJ
bracis-28405	156	38	and	and	CCONJ
bracis-28405	156	39	noisy	noisy	ADJ
bracis-28405	156	40	optimization	optimization	NOUN
bracis-28405	156	41	(	(	PUNCT
bracis-28405	156	42	with	with	ADP
bracis-28405	156	43	both	both	CCONJ
bracis-28405	156	44	perturbation	perturbation	NOUN
bracis-28405	156	45	and	and	CCONJ
bracis-28405	156	46	noise	noise	VERB
bracis-28405	156	47	simultaneous	simultaneous	ADJ
bracis-28405	156	48	uncertainties	uncertainty	NOUN
bracis-28405	156	49	)	)	PUNCT
bracis-28405	156	50	.	.	PUNCT
bracis-28405	157	1	robust	robust	ADJ
bracis-28405	157	2	optimization	optimization	NOUN
bracis-28405	157	3	.	.	PUNCT
bracis-28405	158	1	figure	figure	NOUN
bracis-28405	158	2	 	 	SPACE
bracis-28405	158	3	2	2	NUM
bracis-28405	158	4	shows	show	VERB
bracis-28405	158	5	the	the	DET
bracis-28405	158	6	results	result	NOUN
bracis-28405	158	7	for	for	ADP
bracis-28405	158	8	\(\delta	\(\delta	NOUN
bracis-28405	158	9	_	_	PUNCT
bracis-28405	158	10	x	x	SYM
bracis-28405	158	11	=	=	SYM
bracis-28405	158	12	0.1\	0.1\	PROPN
bracis-28405	158	13	)	)	PUNCT
bracis-28405	158	14	,	,	PUNCT
bracis-28405	158	15	which	which	PRON
bracis-28405	158	16	is	be	AUX
bracis-28405	158	17	considered	consider	VERB
bracis-28405	158	18	a	a	DET
bracis-28405	158	19	high	high	ADJ
bracis-28405	158	20	perturbation	perturbation	NOUN
bracis-28405	158	21	as	as	SCONJ
bracis-28405	158	22	it	it	PRON
bracis-28405	158	23	represents	represent	VERB
bracis-28405	158	24	an	an	DET
bracis-28405	158	25	uncertainty	uncertainty	NOUN
bracis-28405	158	26	of	of	ADP
bracis-28405	158	27	\(\pm	\(\pm	PROPN
bracis-28405	158	28	10\%\	10\%\	PROPN
bracis-28405	158	29	)	)	PUNCT
bracis-28405	158	30	.	.	PUNCT
bracis-28405	159	1	the	the	DET
bracis-28405	159	2	rnsga	rnsga	PROPN
bracis-28405	159	3	-	-	PUNCT
bracis-28405	159	4	ii	ii	PROPN
bracis-28405	159	5	and	and	CCONJ
bracis-28405	159	6	rmoea	rmoea	NOUN
bracis-28405	159	7	/	/	SYM
bracis-28405	159	8	d	d	PROPN
bracis-28405	159	9	(	(	PUNCT
bracis-28405	159	10	using	use	VERB
bracis-28405	159	11	a	a	DET
bracis-28405	159	12	mean	mean	ADJ
bracis-28405	159	13	-	-	PUNCT
bracis-28405	159	14	based	base	VERB
bracis-28405	159	15	robustness	robustness	NOUN
bracis-28405	159	16	measure	measure	NOUN
bracis-28405	159	17	)	)	PUNCT
bracis-28405	159	18	mapped	map	VERB
bracis-28405	159	19	the	the	DET
bracis-28405	159	20	robust	robust	ADJ
bracis-28405	159	21	front	front	NOUN
bracis-28405	159	22	.	.	PUNCT
bracis-28405	160	1	the	the	DET
bracis-28405	160	2	algorithm	algorithm	NOUN
bracis-28405	160	3	based	base	VERB
bracis-28405	160	4	on	on	ADP
bracis-28405	160	5	a	a	DET
bracis-28405	160	6	worst	bad	ADJ
bracis-28405	160	7	-	-	PUNCT
bracis-28405	160	8	case	case	NOUN
bracis-28405	160	9	measure	measure	NOUN
bracis-28405	160	10	,	,	PUNCT
bracis-28405	160	11	c	c	NOUN
bracis-28405	160	12	-	-	PUNCT
bracis-28405	160	13	rmoea	rmoea	VERB
bracis-28405	160	14	/	/	SYM
bracis-28405	160	15	d	d	NOUN
bracis-28405	160	16	,	,	PUNCT
bracis-28405	160	17	also	also	ADV
bracis-28405	160	18	mapped	map	VERB
bracis-28405	160	19	the	the	DET
bracis-28405	160	20	robust	robust	ADJ
bracis-28405	160	21	front	front	NOUN
bracis-28405	160	22	.	.	PUNCT
bracis-28405	161	1	the	the	DET
bracis-28405	161	2	results	result	NOUN
bracis-28405	161	3	with	with	ADP
bracis-28405	161	4	convex	convex	NOUN
bracis-28405	161	5	and	and	CCONJ
bracis-28405	161	6	linear	linear	ADJ
bracis-28405	161	7	fronts	front	NOUN
bracis-28405	161	8	are	be	AUX
bracis-28405	161	9	not	not	PART
bracis-28405	161	10	displayed	display	VERB
bracis-28405	161	11	due	due	ADP
bracis-28405	161	12	to	to	ADP
bracis-28405	161	13	page	page	NOUN
bracis-28405	161	14	limitations	limitation	NOUN
bracis-28405	161	15	.	.	PUNCT
bracis-28405	162	1	the	the	DET
bracis-28405	162	2	results	result	NOUN
bracis-28405	162	3	are	be	AUX
bracis-28405	162	4	similar	similar	ADJ
bracis-28405	162	5	to	to	ADP
bracis-28405	162	6	those	those	PRON
bracis-28405	162	7	obtained	obtain	VERB
bracis-28405	162	8	with	with	ADP
bracis-28405	162	9	a	a	DET
bracis-28405	162	10	concave	concave	ADJ
bracis-28405	162	11	front	front	NOUN
bracis-28405	162	12	.	.	PUNCT
bracis-28405	163	1	fig	fig	NOUN
bracis-28405	163	2	.	.	PUNCT
bracis-28405	164	1	2	2	X
bracis-28405	164	2	.	.	X
bracis-28405	164	3	result	result	VERB
bracis-28405	164	4	with	with	ADP
bracis-28405	164	5	\(\delta	\(\delta	NOUN
bracis-28405	164	6	_	_	PUNCT
bracis-28405	164	7	x	x	SYM
bracis-28405	164	8	=	=	SYM
bracis-28405	164	9	0.1\	0.1\	PROPN
bracis-28405	164	10	)	)	PUNCT
bracis-28405	164	11	.	.	PUNCT
bracis-28405	165	1	full	full	ADJ
bracis-28405	165	2	size	size	NOUN
bracis-28405	165	3	image	image	NOUN
bracis-28405	165	4	noisy	noisy	ADJ
bracis-28405	165	5	optimization	optimization	NOUN
bracis-28405	165	6	.	.	PUNCT
bracis-28405	166	1	the	the	DET
bracis-28405	166	2	c	c	NOUN
bracis-28405	166	3	-	-	PUNCT
bracis-28405	166	4	rmoea	rmoea	NOUN
bracis-28405	166	5	/	/	SYM
bracis-28405	166	6	d	d	NOUN
bracis-28405	166	7	does	do	AUX
bracis-28405	166	8	not	not	PART
bracis-28405	166	9	incorporate	incorporate	VERB
bracis-28405	166	10	coevolution	coevolution	NOUN
bracis-28405	166	11	with	with	ADP
bracis-28405	166	12	noise	noise	NOUN
bracis-28405	166	13	only	only	ADV
bracis-28405	166	14	.	.	PUNCT
bracis-28405	167	1	hence	hence	ADV
bracis-28405	167	2	,	,	PUNCT
bracis-28405	167	3	it	it	PRON
bracis-28405	167	4	becomes	become	VERB
bracis-28405	167	5	the	the	DET
bracis-28405	167	6	moea	moea	NOUN
bracis-28405	167	7	/	/	SYM
bracis-28405	167	8	d	d	NOUN
bracis-28405	167	9	algorithm	algorithm	NOUN
bracis-28405	167	10	,	,	PUNCT
bracis-28405	167	11	without	without	ADP
bracis-28405	167	12	a	a	DET
bracis-28405	167	13	second	second	ADJ
bracis-28405	167	14	evolutionary	evolutionary	ADJ
bracis-28405	167	15	cycle	cycle	NOUN
bracis-28405	167	16	.	.	PUNCT
bracis-28405	168	1	the	the	DET
bracis-28405	168	2	results	result	NOUN
bracis-28405	168	3	were	be	AUX
bracis-28405	168	4	compared	compare	VERB
bracis-28405	168	5	between	between	ADP
bracis-28405	168	6	moea	moea	NOUN
bracis-28405	168	7	/	/	SYM
bracis-28405	168	8	d	d	NOUN
bracis-28405	168	9	and	and	CCONJ
bracis-28405	168	10	rmoea	rmoea	NOUN
bracis-28405	168	11	/	/	SYM
bracis-28405	168	12	d	d	PROPN
bracis-28405	168	13	and	and	CCONJ
bracis-28405	168	14	between	between	ADP
bracis-28405	168	15	nsga	nsga	NOUN
bracis-28405	168	16	-	-	PUNCT
bracis-28405	168	17	ii	ii	PROPN
bracis-28405	168	18	and	and	CCONJ
bracis-28405	168	19	rnsga	rnsga	PROPN
bracis-28405	168	20	-	-	PUNCT
bracis-28405	168	21	ii	ii	PROPN
bracis-28405	168	22	.	.	PUNCT
bracis-28405	169	1	this	this	DET
bracis-28405	169	2	comparison	comparison	NOUN
bracis-28405	169	3	was	be	AUX
bracis-28405	169	4	made	make	VERB
bracis-28405	169	5	between	between	ADP
bracis-28405	169	6	the	the	DET
bracis-28405	169	7	original	original	ADJ
bracis-28405	169	8	algorithm	algorithm	NOUN
bracis-28405	169	9	without	without	ADP
bracis-28405	169	10	any	any	DET
bracis-28405	169	11	uncertainty	uncertainty	NOUN
bracis-28405	169	12	handling	handling	NOUN
bracis-28405	169	13	,	,	PUNCT
bracis-28405	169	14	and	and	CCONJ
bracis-28405	169	15	the	the	DET
bracis-28405	169	16	algorithm	algorithm	NOUN
bracis-28405	169	17	that	that	PRON
bracis-28405	169	18	uses	use	VERB
bracis-28405	169	19	sampling	sampling	NOUN
bracis-28405	169	20	followed	follow	VERB
bracis-28405	169	21	by	by	ADP
bracis-28405	169	22	the	the	DET
bracis-28405	169	23	mean	mean	ADJ
bracis-28405	169	24	metric	metric	NOUN
bracis-28405	169	25	.	.	PUNCT
bracis-28405	170	1	figure	figure	NOUN
bracis-28405	170	2	 	 	SPACE
bracis-28405	170	3	3	3	NUM
bracis-28405	170	4	presents	present	VERB
bracis-28405	170	5	the	the	DET
bracis-28405	170	6	solutions	solution	NOUN
bracis-28405	170	7	obtained	obtain	VERB
bracis-28405	170	8	from	from	ADP
bracis-28405	170	9	rnsga	rnsga	PROPN
bracis-28405	170	10	-	-	PUNCT
bracis-28405	170	11	ii	ii	PROPN
bracis-28405	170	12	and	and	CCONJ
bracis-28405	170	13	nsga	nsga	PROPN
bracis-28405	170	14	-	-	PUNCT
bracis-28405	170	15	ii	ii	NOUN
bracis-28405	170	16	.	.	PUNCT
bracis-28405	171	1	the	the	DET
bracis-28405	171	2	results	result	NOUN
bracis-28405	171	3	were	be	AUX
bracis-28405	171	4	similar	similar	ADJ
bracis-28405	171	5	for	for	ADP
bracis-28405	171	6	gaussian	gaussian	ADJ
bracis-28405	171	7	and	and	CCONJ
bracis-28405	171	8	uniform	uniform	ADJ
bracis-28405	171	9	noise	noise	NOUN
bracis-28405	171	10	.	.	PUNCT
bracis-28405	172	1	the	the	DET
bracis-28405	172	2	algorithms	algorithm	NOUN
bracis-28405	172	3	showed	show	VERB
bracis-28405	172	4	good	good	ADJ
bracis-28405	172	5	convergence	convergence	NOUN
bracis-28405	172	6	and	and	CCONJ
bracis-28405	172	7	dispersion	dispersion	NOUN
bracis-28405	172	8	from	from	ADP
bracis-28405	172	9	the	the	DET
bracis-28405	172	10	global	global	ADJ
bracis-28405	172	11	front	front	NOUN
bracis-28405	172	12	with	with	ADP
bracis-28405	172	13	moderate	moderate	ADJ
bracis-28405	172	14	intensity	intensity	NOUN
bracis-28405	172	15	.	.	PUNCT
bracis-28405	173	1	however	however	ADV
bracis-28405	173	2	,	,	PUNCT
bracis-28405	173	3	they	they	PRON
bracis-28405	173	4	did	do	AUX
bracis-28405	173	5	not	not	PART
bracis-28405	173	6	produce	produce	VERB
bracis-28405	173	7	any	any	DET
bracis-28405	173	8	mapping	mapping	NOUN
bracis-28405	173	9	for	for	ADP
bracis-28405	173	10	severe	severe	ADJ
bracis-28405	173	11	intensity	intensity	NOUN
bracis-28405	173	12	.	.	PUNCT
bracis-28405	174	1	finally	finally	ADV
bracis-28405	174	2	,	,	PUNCT
bracis-28405	174	3	both	both	CCONJ
bracis-28405	174	4	rnsga	rnsga	PROPN
bracis-28405	174	5	-	-	PUNCT
bracis-28405	174	6	ii	ii	PROPN
bracis-28405	174	7	and	and	CCONJ
bracis-28405	174	8	nsga	nsga	NOUN
bracis-28405	174	9	-	-	PUNCT
bracis-28405	174	10	ii	ii	NOUN
bracis-28405	174	11	mapped	map	VERB
bracis-28405	174	12	the	the	DET
bracis-28405	174	13	global	global	ADJ
bracis-28405	174	14	front	front	NOUN
bracis-28405	174	15	well	well	INTJ
bracis-28405	174	16	for	for	ADP
bracis-28405	174	17	cauchy	cauchy	NOUN
bracis-28405	174	18	noise	noise	NOUN
bracis-28405	174	19	(	(	PUNCT
bracis-28405	174	20	single	single	ADJ
bracis-28405	174	21	additive	additive	ADJ
bracis-28405	174	22	noise	noise	NOUN
bracis-28405	174	23	)	)	PUNCT
bracis-28405	174	24	at	at	ADP
bracis-28405	174	25	both	both	DET
bracis-28405	174	26	intensities	intensity	NOUN
bracis-28405	174	27	.	.	PUNCT
bracis-28405	175	1	due	due	ADP
bracis-28405	175	2	to	to	ADP
bracis-28405	175	3	page	page	NOUN
bracis-28405	175	4	limitations	limitation	NOUN
bracis-28405	175	5	,	,	PUNCT
bracis-28405	175	6	the	the	DET
bracis-28405	175	7	results	result	NOUN
bracis-28405	175	8	of	of	ADP
bracis-28405	175	9	moea	moea	NOUN
bracis-28405	175	10	/	/	SYM
bracis-28405	175	11	d	d	NOUN
bracis-28405	175	12	and	and	CCONJ
bracis-28405	175	13	rmoea	rmoea	NOUN
bracis-28405	175	14	/	/	SYM
bracis-28405	175	15	d	d	NOUN
bracis-28405	175	16	will	will	AUX
bracis-28405	175	17	not	not	PART
bracis-28405	175	18	be	be	AUX
bracis-28405	175	19	shown	show	VERB
bracis-28405	175	20	.	.	PUNCT
bracis-28405	176	1	these	these	DET
bracis-28405	176	2	results	result	NOUN
bracis-28405	176	3	were	be	AUX
bracis-28405	176	4	similar	similar	ADJ
bracis-28405	176	5	to	to	ADP
bracis-28405	176	6	those	those	PRON
bracis-28405	176	7	of	of	ADP
bracis-28405	176	8	nsga	nsga	NOUN
bracis-28405	176	9	-	-	PUNCT
bracis-28405	176	10	ii	ii	PROPN
bracis-28405	176	11	and	and	CCONJ
bracis-28405	176	12	rnsga	rnsga	PROPN
bracis-28405	176	13	-	-	PUNCT
bracis-28405	176	14	ii	ii	PROPN
bracis-28405	176	15	from	from	ADP
bracis-28405	176	16	the	the	DET
bracis-28405	176	17	fig	fig	NOUN
bracis-28405	176	18	.	.	PUNCT
bracis-28405	176	19	 	 	SPACE
bracis-28405	177	1	3	3	NUM
bracis-28405	177	2	.	.	X
bracis-28405	177	3	fig	fig	NOUN
bracis-28405	177	4	.	.	PUNCT
bracis-28405	178	1	3	3	X
bracis-28405	178	2	.	.	X
bracis-28405	178	3	result	result	VERB
bracis-28405	178	4	for	for	ADP
bracis-28405	178	5	function	function	NOUN
bracis-28405	178	6	generator	generator	NOUN
bracis-28405	178	7	extension	extension	NOUN
bracis-28405	178	8	with	with	ADP
bracis-28405	178	9	noise	noise	NOUN
bracis-28405	178	10	for	for	ADP
bracis-28405	178	11	nsgaii	nsgaii	NOUN
bracis-28405	178	12	and	and	CCONJ
bracis-28405	178	13	rnsgaii	rnsgaii	NOUN
bracis-28405	178	14	.	.	PUNCT
bracis-28405	179	1	full	full	ADJ
bracis-28405	179	2	size	size	NOUN
bracis-28405	179	3	image	image	NOUN
bracis-28405	179	4	robust	robust	ADJ
bracis-28405	179	5	and	and	CCONJ
bracis-28405	179	6	noisy	noisy	ADJ
bracis-28405	179	7	optimization	optimization	NOUN
bracis-28405	179	8	.	.	PUNCT
bracis-28405	180	1	figure	figure	NOUN
bracis-28405	180	2	 	 	SPACE
bracis-28405	180	3	4	4	NUM
bracis-28405	180	4	displays	display	VERB
bracis-28405	180	5	the	the	DET
bracis-28405	180	6	outcome	outcome	NOUN
bracis-28405	180	7	of	of	ADP
bracis-28405	180	8	extending	extend	VERB
bracis-28405	180	9	the	the	DET
bracis-28405	180	10	function	function	NOUN
bracis-28405	180	11	generator	generator	NOUN
bracis-28405	180	12	with	with	ADP
bracis-28405	180	13	gaussian	gaussian	ADJ
bracis-28405	180	14	noise	noise	NOUN
bracis-28405	180	15	and	and	CCONJ
bracis-28405	180	16	\(\delta	\(\delta	NOUN
bracis-28405	180	17	_	_	NOUN
bracis-28405	180	18	x=0.1\	x=0.1\	PROPN
bracis-28405	180	19	)	)	PUNCT
bracis-28405	180	20	.	.	PUNCT
bracis-28405	181	1	the	the	DET
bracis-28405	181	2	three	three	NUM
bracis-28405	181	3	algorithms	algorithm	NOUN
bracis-28405	181	4	failed	fail	VERB
bracis-28405	181	5	to	to	PART
bracis-28405	181	6	converge	converge	VERB
bracis-28405	181	7	for	for	ADP
bracis-28405	181	8	high	high	ADJ
bracis-28405	181	9	-	-	PUNCT
bracis-28405	181	10	intensity	intensity	NOUN
bracis-28405	181	11	noise	noise	NOUN
bracis-28405	181	12	.	.	PUNCT
bracis-28405	182	1	this	this	DET
bracis-28405	182	2	outcome	outcome	NOUN
bracis-28405	182	3	was	be	AUX
bracis-28405	182	4	predictable	predictable	ADJ
bracis-28405	182	5	because	because	SCONJ
bracis-28405	182	6	the	the	DET
bracis-28405	182	7	severe	severe	ADJ
bracis-28405	182	8	noise	noise	NOUN
bracis-28405	182	9	greatly	greatly	ADV
bracis-28405	182	10	impacted	impact	VERB
bracis-28405	182	11	the	the	DET
bracis-28405	182	12	original	original	ADJ
bracis-28405	182	13	function	function	NOUN
bracis-28405	182	14	.	.	PUNCT
bracis-28405	183	1	however	however	ADV
bracis-28405	183	2	,	,	PUNCT
bracis-28405	183	3	the	the	DET
bracis-28405	183	4	c	c	NOUN
bracis-28405	183	5	-	-	PUNCT
bracis-28405	183	6	rmoea	rmoea	NOUN
bracis-28405	183	7	/	/	SYM
bracis-28405	183	8	d	d	NOUN
bracis-28405	183	9	solutions	solution	NOUN
bracis-28405	183	10	exhibited	exhibit	VERB
bracis-28405	183	11	a	a	DET
bracis-28405	183	12	tendency	tendency	NOUN
bracis-28405	183	13	towards	towards	ADP
bracis-28405	183	14	the	the	DET
bracis-28405	183	15	robust	robust	ADJ
bracis-28405	183	16	front	front	NOUN
bracis-28405	183	17	.	.	PUNCT
bracis-28405	184	1	for	for	ADP
bracis-28405	184	2	moderate	moderate	ADJ
bracis-28405	184	3	-	-	PUNCT
bracis-28405	184	4	intensity	intensity	NOUN
bracis-28405	184	5	noise	noise	NOUN
bracis-28405	184	6	,	,	PUNCT
bracis-28405	184	7	the	the	DET
bracis-28405	184	8	algorithms	algorithm	NOUN
bracis-28405	184	9	achieved	achieve	VERB
bracis-28405	184	10	convergence	convergence	NOUN
bracis-28405	184	11	and	and	CCONJ
bracis-28405	184	12	good	good	ADJ
bracis-28405	184	13	dispersion	dispersion	NOUN
bracis-28405	184	14	.	.	PUNCT
bracis-28405	185	1	nonetheless	nonetheless	ADV
bracis-28405	185	2	,	,	PUNCT
bracis-28405	185	3	the	the	DET
bracis-28405	185	4	rmoea	rmoea	NOUN
bracis-28405	185	5	/	/	SYM
bracis-28405	185	6	d	d	PROPN
bracis-28405	185	7	had	have	VERB
bracis-28405	185	8	some	some	DET
bracis-28405	185	9	poor	poor	ADJ
bracis-28405	185	10	solutions	solution	NOUN
bracis-28405	185	11	,	,	PUNCT
bracis-28405	185	12	but	but	CCONJ
bracis-28405	185	13	,	,	PUNCT
bracis-28405	185	14	generally	generally	ADV
bracis-28405	185	15	,	,	PUNCT
bracis-28405	185	16	the	the	DET
bracis-28405	185	17	solutions	solution	NOUN
bracis-28405	185	18	converged	converge	VERB
bracis-28405	185	19	.	.	PUNCT
bracis-28405	186	1	the	the	DET
bracis-28405	186	2	same	same	ADJ
bracis-28405	186	3	can	can	AUX
bracis-28405	186	4	be	be	AUX
bracis-28405	186	5	said	say	VERB
bracis-28405	186	6	for	for	ADP
bracis-28405	186	7	the	the	DET
bracis-28405	186	8	c	c	NOUN
bracis-28405	186	9	-	-	PUNCT
bracis-28405	186	10	rmoea	rmoea	VERB
bracis-28405	186	11	/	/	SYM
bracis-28405	186	12	d	d	NOUN
bracis-28405	186	13	algorithm	algorithm	NOUN
bracis-28405	186	14	with	with	ADP
bracis-28405	186	15	concave	concave	PROPN
bracis-28405	186	16	pf	pf	PROPN
bracis-28405	186	17	.	.	PROPN
bracis-28405	186	18	fig	fig	NOUN
bracis-28405	186	19	.	.	PUNCT
bracis-28405	187	1	4	4	X
bracis-28405	187	2	.	.	X
bracis-28405	187	3	result	result	VERB
bracis-28405	187	4	for	for	ADP
bracis-28405	187	5	function	function	NOUN
bracis-28405	187	6	generator	generator	NOUN
bracis-28405	187	7	extension	extension	NOUN
bracis-28405	187	8	gaussian	gaussian	NOUN
bracis-28405	187	9	noise	noise	NOUN
bracis-28405	187	10	and	and	CCONJ
bracis-28405	187	11	\(\delta	\(\delta	NOUN
bracis-28405	187	12	_	_	NOUN
bracis-28405	187	13	x	x	SYM
bracis-28405	187	14	=	=	SYM
bracis-28405	187	15	0.1\	0.1\	PROPN
bracis-28405	187	16	)	)	PUNCT
bracis-28405	187	17	.	.	PUNCT
bracis-28405	188	1	full	full	ADJ
bracis-28405	188	2	size	size	NOUN
bracis-28405	188	3	image	image	NOUN
bracis-28405	188	4	figure	figure	NOUN
bracis-28405	188	5	 	 	SPACE
bracis-28405	188	6	5	5	NUM
bracis-28405	188	7	displays	display	VERB
bracis-28405	188	8	the	the	DET
bracis-28405	188	9	results	result	NOUN
bracis-28405	188	10	of	of	ADP
bracis-28405	188	11	extending	extend	VERB
bracis-28405	188	12	the	the	DET
bracis-28405	188	13	function	function	NOUN
bracis-28405	188	14	generator	generator	NOUN
bracis-28405	188	15	with	with	ADP
bracis-28405	188	16	uniform	uniform	ADJ
bracis-28405	188	17	noise	noise	NOUN
bracis-28405	188	18	and	and	CCONJ
bracis-28405	188	19	\(\delta	\(\delta	NOUN
bracis-28405	188	20	_	_	PROPN
bracis-28405	188	21	x=0.1\	x=0.1\	PROPN
bracis-28405	188	22	)	)	PUNCT
bracis-28405	188	23	.	.	PUNCT
bracis-28405	189	1	the	the	DET
bracis-28405	189	2	analysis	analysis	NOUN
bracis-28405	189	3	of	of	ADP
bracis-28405	189	4	results	result	NOUN
bracis-28405	189	5	for	for	ADP
bracis-28405	189	6	uniform	uniform	ADJ
bracis-28405	189	7	noise	noise	NOUN
bracis-28405	189	8	is	be	AUX
bracis-28405	189	9	similar	similar	ADJ
bracis-28405	189	10	to	to	ADP
bracis-28405	189	11	gaussian	gaussian	ADJ
bracis-28405	189	12	noise	noise	NOUN
bracis-28405	189	13	.	.	PUNCT
bracis-28405	190	1	the	the	DET
bracis-28405	190	2	three	three	NUM
bracis-28405	190	3	algorithms	algorithm	NOUN
bracis-28405	190	4	did	do	AUX
bracis-28405	190	5	not	not	PART
bracis-28405	190	6	converge	converge	VERB
bracis-28405	190	7	for	for	ADP
bracis-28405	190	8	high	high	ADJ
bracis-28405	190	9	-	-	PUNCT
bracis-28405	190	10	intensity	intensity	NOUN
bracis-28405	190	11	noise	noise	NOUN
bracis-28405	190	12	.	.	PUNCT
bracis-28405	191	1	the	the	DET
bracis-28405	191	2	algorithms	algorithm	NOUN
bracis-28405	191	3	converged	converge	VERB
bracis-28405	191	4	and	and	CCONJ
bracis-28405	191	5	had	have	VERB
bracis-28405	191	6	good	good	ADJ
bracis-28405	191	7	dispersion	dispersion	NOUN
bracis-28405	191	8	for	for	ADP
bracis-28405	191	9	moderate	moderate	ADJ
bracis-28405	191	10	-	-	PUNCT
bracis-28405	191	11	intensity	intensity	NOUN
bracis-28405	191	12	noise	noise	NOUN
bracis-28405	191	13	.	.	PUNCT
bracis-28405	192	1	however	however	ADV
bracis-28405	192	2	,	,	PUNCT
bracis-28405	192	3	the	the	DET
bracis-28405	192	4	rmoea	rmoea	NOUN
bracis-28405	192	5	/	/	SYM
bracis-28405	192	6	d	d	PROPN
bracis-28405	192	7	and	and	CCONJ
bracis-28405	192	8	c	c	NOUN
bracis-28405	192	9	-	-	PUNCT
bracis-28405	192	10	rmoea	rmoea	NOUN
bracis-28405	192	11	/	/	SYM
bracis-28405	192	12	d	d	PROPN
bracis-28405	192	13	had	have	VERB
bracis-28405	192	14	some	some	DET
bracis-28405	192	15	poor	poor	ADJ
bracis-28405	192	16	solutions	solution	NOUN
bracis-28405	192	17	.	.	PUNCT
bracis-28405	193	1	rnsga	rnsga	PROPN
bracis-28405	193	2	-	-	PUNCT
bracis-28405	193	3	ii	ii	PROPN
bracis-28405	193	4	had	have	VERB
bracis-28405	193	5	some	some	DET
bracis-28405	193	6	poor	poor	ADJ
bracis-28405	193	7	solutions	solution	NOUN
bracis-28405	193	8	for	for	ADP
bracis-28405	193	9	concave	concave	NOUN
bracis-28405	193	10	pf	pf	PROPN
bracis-28405	193	11	.	.	PROPN
bracis-28405	194	1	as	as	ADP
bracis-28405	194	2	a	a	DET
bracis-28405	194	3	result	result	NOUN
bracis-28405	194	4	,	,	PUNCT
bracis-28405	194	5	it	it	PRON
bracis-28405	194	6	becomes	become	VERB
bracis-28405	194	7	evident	evident	ADJ
bracis-28405	194	8	that	that	SCONJ
bracis-28405	194	9	these	these	DET
bracis-28405	194	10	algorithms	algorithm	NOUN
bracis-28405	194	11	with	with	ADP
bracis-28405	194	12	simultaneous	simultaneous	ADJ
bracis-28405	194	13	uncertainties	uncertainty	NOUN
bracis-28405	194	14	begin	begin	VERB
bracis-28405	194	15	to	to	PART
bracis-28405	194	16	deteriorate	deteriorate	VERB
bracis-28405	194	17	(	(	PUNCT
bracis-28405	194	18	even	even	ADV
bracis-28405	194	19	with	with	ADP
bracis-28405	194	20	small	small	ADJ
bracis-28405	194	21	noise	noise	NOUN
bracis-28405	194	22	)	)	PUNCT
bracis-28405	194	23	.	.	PUNCT
bracis-28405	195	1	fig	fig	NOUN
bracis-28405	195	2	.	.	PUNCT
bracis-28405	196	1	5	5	X
bracis-28405	196	2	.	.	X
bracis-28405	196	3	result	result	VERB
bracis-28405	196	4	for	for	ADP
bracis-28405	196	5	function	function	NOUN
bracis-28405	196	6	generator	generator	NOUN
bracis-28405	196	7	extension	extension	NOUN
bracis-28405	196	8	uniform	uniform	NOUN
bracis-28405	196	9	noise	noise	NOUN
bracis-28405	196	10	and	and	CCONJ
bracis-28405	196	11	\(\delta	\(\delta	NOUN
bracis-28405	196	12	_	_	NOUN
bracis-28405	196	13	x	x	SYM
bracis-28405	196	14	=	=	SYM
bracis-28405	196	15	0.1\	0.1\	PROPN
bracis-28405	196	16	)	)	PUNCT
bracis-28405	196	17	.	.	PUNCT
bracis-28405	197	1	full	full	ADJ
bracis-28405	197	2	size	size	NOUN
bracis-28405	197	3	image	image	NOUN
bracis-28405	197	4	figure	figure	NOUN
bracis-28405	197	5	 	 	SPACE
bracis-28405	197	6	6	6	NUM
bracis-28405	197	7	displays	display	VERB
bracis-28405	197	8	the	the	DET
bracis-28405	197	9	result	result	NOUN
bracis-28405	197	10	of	of	ADP
bracis-28405	197	11	extending	extend	VERB
bracis-28405	197	12	the	the	DET
bracis-28405	197	13	function	function	NOUN
bracis-28405	197	14	generator	generator	NOUN
bracis-28405	197	15	with	with	ADP
bracis-28405	197	16	cauchy	cauchy	PROPN
bracis-28405	197	17	noise	noise	NOUN
bracis-28405	197	18	and	and	CCONJ
bracis-28405	197	19	\(\delta	\(\delta	NOUN
bracis-28405	197	20	_	_	NOUN
bracis-28405	197	21	x=0.1\	x=0.1\	PROPN
bracis-28405	197	22	)	)	PUNCT
bracis-28405	197	23	.	.	PUNCT
bracis-28405	198	1	this	this	DET
bracis-28405	198	2	noise	noise	NOUN
bracis-28405	198	3	differs	differ	VERB
bracis-28405	198	4	from	from	ADP
bracis-28405	198	5	the	the	DET
bracis-28405	198	6	previous	previous	ADJ
bracis-28405	198	7	ones	one	NOUN
bracis-28405	198	8	in	in	ADP
bracis-28405	198	9	that	that	SCONJ
bracis-28405	198	10	it	it	PRON
bracis-28405	198	11	is	be	AUX
bracis-28405	198	12	additive	additive	ADJ
bracis-28405	198	13	and	and	CCONJ
bracis-28405	198	14	not	not	PART
bracis-28405	198	15	multiplicative	multiplicative	VERB
bracis-28405	198	16	.	.	PUNCT
bracis-28405	199	1	the	the	DET
bracis-28405	199	2	c	c	NOUN
bracis-28405	199	3	-	-	PUNCT
bracis-28405	199	4	rmoea	rmoea	VERB
bracis-28405	199	5	/	/	SYM
bracis-28405	199	6	d	d	PROPN
bracis-28405	199	7	and	and	CCONJ
bracis-28405	199	8	rnsga	rnsga	PROPN
bracis-28405	199	9	-	-	PUNCT
bracis-28405	199	10	ii	ii	PROPN
bracis-28405	199	11	showed	show	VERB
bracis-28405	199	12	good	good	ADJ
bracis-28405	199	13	convergence	convergence	NOUN
bracis-28405	199	14	and	and	CCONJ
bracis-28405	199	15	dispersion	dispersion	NOUN
bracis-28405	199	16	for	for	ADP
bracis-28405	199	17	all	all	DET
bracis-28405	199	18	pf	pf	NOUN
bracis-28405	199	19	formats	format	NOUN
bracis-28405	199	20	and	and	CCONJ
bracis-28405	199	21	intensities	intensity	NOUN
bracis-28405	199	22	.	.	PUNCT
bracis-28405	200	1	for	for	ADP
bracis-28405	200	2	high	high	ADJ
bracis-28405	200	3	-	-	PUNCT
bracis-28405	200	4	intensity	intensity	NOUN
bracis-28405	200	5	noise	noise	NOUN
bracis-28405	200	6	,	,	PUNCT
bracis-28405	200	7	the	the	DET
bracis-28405	200	8	c	c	NOUN
bracis-28405	200	9	-	-	PUNCT
bracis-28405	200	10	rmoea	rmoea	NOUN
bracis-28405	200	11	/	/	SYM
bracis-28405	200	12	d	d	PROPN
bracis-28405	200	13	had	have	VERB
bracis-28405	200	14	some	some	DET
bracis-28405	200	15	solutions	solution	NOUN
bracis-28405	200	16	without	without	ADP
bracis-28405	200	17	convergence	convergence	NOUN
bracis-28405	200	18	,	,	PUNCT
bracis-28405	200	19	and	and	CCONJ
bracis-28405	200	20	for	for	ADP
bracis-28405	200	21	the	the	DET
bracis-28405	200	22	convex	convex	NOUN
bracis-28405	200	23	pf	pf	INTJ
bracis-28405	200	24	it	it	PRON
bracis-28405	200	25	failed	fail	VERB
bracis-28405	200	26	to	to	PART
bracis-28405	200	27	map	map	VERB
bracis-28405	200	28	the	the	DET
bracis-28405	200	29	robust	robust	ADJ
bracis-28405	200	30	pf	pf	NOUN
bracis-28405	200	31	at	at	ADP
bracis-28405	200	32	the	the	DET
bracis-28405	200	33	extremes	extreme	NOUN
bracis-28405	200	34	.	.	PUNCT
bracis-28405	201	1	the	the	DET
bracis-28405	201	2	rmoea	rmoea	NOUN
bracis-28405	201	3	/	/	SYM
bracis-28405	201	4	d	d	NOUN
bracis-28405	201	5	algorithm	algorithm	NOUN
bracis-28405	201	6	showed	show	VERB
bracis-28405	201	7	good	good	ADJ
bracis-28405	201	8	convergence	convergence	NOUN
bracis-28405	201	9	and	and	CCONJ
bracis-28405	201	10	dispersion	dispersion	NOUN
bracis-28405	201	11	for	for	ADP
bracis-28405	201	12	moderate	moderate	ADJ
bracis-28405	201	13	-	-	PUNCT
bracis-28405	201	14	intensity	intensity	NOUN
bracis-28405	201	15	noise	noise	NOUN
bracis-28405	201	16	.	.	PUNCT
bracis-28405	202	1	only	only	ADV
bracis-28405	202	2	some	some	DET
bracis-28405	202	3	final	final	ADJ
bracis-28405	202	4	solutions	solution	NOUN
bracis-28405	202	5	were	be	AUX
bracis-28405	202	6	poor	poor	ADJ
bracis-28405	202	7	.	.	PUNCT
bracis-28405	203	1	finally	finally	ADV
bracis-28405	203	2	,	,	PUNCT
bracis-28405	203	3	rmoea	rmoea	PROPN
bracis-28405	203	4	/	/	SYM
bracis-28405	203	5	d	d	PROPN
bracis-28405	203	6	produced	produce	VERB
bracis-28405	203	7	some	some	DET
bracis-28405	203	8	solutions	solution	NOUN
bracis-28405	203	9	that	that	PRON
bracis-28405	203	10	mapped	map	VERB
bracis-28405	203	11	small	small	ADJ
bracis-28405	203	12	parts	part	NOUN
bracis-28405	203	13	of	of	ADP
bracis-28405	203	14	the	the	DET
bracis-28405	203	15	pf	pf	PROPN
bracis-28405	203	16	to	to	ADP
bracis-28405	203	17	high	high	ADJ
bracis-28405	203	18	-	-	PUNCT
bracis-28405	203	19	intensity	intensity	NOUN
bracis-28405	203	20	noise	noise	NOUN
bracis-28405	203	21	.	.	PUNCT
bracis-28405	204	1	therefore	therefore	ADV
bracis-28405	204	2	,	,	PUNCT
bracis-28405	204	3	the	the	DET
bracis-28405	204	4	solutions	solution	NOUN
bracis-28405	204	5	did	do	AUX
bracis-28405	204	6	not	not	PART
bracis-28405	204	7	have	have	VERB
bracis-28405	204	8	good	good	ADJ
bracis-28405	204	9	dispersion	dispersion	NOUN
bracis-28405	204	10	and	and	CCONJ
bracis-28405	204	11	most	most	ADJ
bracis-28405	204	12	of	of	ADP
bracis-28405	204	13	them	they	PRON
bracis-28405	204	14	did	do	AUX
bracis-28405	204	15	not	not	PART
bracis-28405	204	16	converge	converge	VERB
bracis-28405	204	17	.	.	PUNCT
bracis-28405	205	1	the	the	DET
bracis-28405	205	2	worst	bad	ADJ
bracis-28405	205	3	convergence	convergence	NOUN
bracis-28405	205	4	result	result	NOUN
bracis-28405	205	5	was	be	AUX
bracis-28405	205	6	for	for	ADP
bracis-28405	205	7	convex	convex	PROPN
bracis-28405	205	8	pf	pf	PROPN
bracis-28405	205	9	.	.	PROPN
bracis-28405	205	10	fig	fig	PROPN
bracis-28405	205	11	.	.	PUNCT
bracis-28405	206	1	6	6	NUM
bracis-28405	206	2	.	.	X
bracis-28405	206	3	result	result	VERB
bracis-28405	206	4	for	for	ADP
bracis-28405	206	5	function	function	NOUN
bracis-28405	206	6	generator	generator	NOUN
bracis-28405	206	7	extension	extension	NOUN
bracis-28405	206	8	cauchy	cauchy	NOUN
bracis-28405	206	9	noise	noise	NOUN
bracis-28405	206	10	and	and	CCONJ
bracis-28405	206	11	\(\delta	\(\delta	NOUN
bracis-28405	206	12	_	_	NOUN
bracis-28405	206	13	x	x	SYM
bracis-28405	206	14	=	=	SYM
bracis-28405	206	15	0.1\	0.1\	PROPN
bracis-28405	206	16	)	)	PUNCT
bracis-28405	206	17	.	.	PUNCT
bracis-28405	207	1	full	full	ADJ
bracis-28405	207	2	size	size	NOUN
bracis-28405	207	3	image	image	NOUN
bracis-28405	207	4	as	as	SCONJ
bracis-28405	207	5	stated	state	VERB
bracis-28405	207	6	in	in	ADP
bracis-28405	207	7	the	the	DET
bracis-28405	207	8	previous	previous	ADJ
bracis-28405	207	9	results	result	NOUN
bracis-28405	207	10	,	,	PUNCT
bracis-28405	207	11	the	the	DET
bracis-28405	207	12	original	original	ADJ
bracis-28405	207	13	function	function	NOUN
bracis-28405	207	14	is	be	AUX
bracis-28405	207	15	severely	severely	ADV
bracis-28405	207	16	contaminated	contaminate	VERB
bracis-28405	207	17	by	by	ADP
bracis-28405	207	18	high	high	ADJ
bracis-28405	207	19	gaussian	gaussian	NOUN
bracis-28405	207	20	and	and	CCONJ
bracis-28405	207	21	uniform	uniform	ADJ
bracis-28405	207	22	noise	noise	NOUN
bracis-28405	207	23	.	.	PUNCT
bracis-28405	208	1	therefore	therefore	ADV
bracis-28405	208	2	,	,	PUNCT
bracis-28405	208	3	we	we	PRON
bracis-28405	208	4	created	create	VERB
bracis-28405	208	5	an	an	DET
bracis-28405	208	6	intermediate	intermediate	ADJ
bracis-28405	208	7	-	-	PUNCT
bracis-28405	208	8	intensity	intensity	NOUN
bracis-28405	208	9	noise	noise	NOUN
bracis-28405	208	10	for	for	ADP
bracis-28405	208	11	further	further	ADJ
bracis-28405	208	12	testing	testing	NOUN
bracis-28405	208	13	.	.	PUNCT
bracis-28405	209	1	the	the	DET
bracis-28405	209	2	value	value	NOUN
bracis-28405	209	3	was	be	AUX
bracis-28405	209	4	\(\beta	\(\beta	PRON
bracis-28405	209	5	=	=	NOUN
bracis-28405	209	6	0.5\	0.5\	NUM
bracis-28405	209	7	)	)	PUNCT
bracis-28405	209	8	for	for	ADP
bracis-28405	209	9	gaussian	gaussian	ADJ
bracis-28405	209	10	noise	noise	NOUN
bracis-28405	209	11	.	.	PUNCT
bracis-28405	210	1	for	for	ADP
bracis-28405	210	2	uniform	uniform	ADJ
bracis-28405	210	3	noise	noise	NOUN
bracis-28405	210	4	,	,	PUNCT
bracis-28405	210	5	the	the	DET
bracis-28405	210	6	parameters	parameter	NOUN
bracis-28405	210	7	were	be	AUX
bracis-28405	210	8	\(\beta	\(\beta	PRON
bracis-28405	210	9	=	=	NOUN
bracis-28405	210	10	0.5\	0.5\	NUM
bracis-28405	210	11	)	)	PUNCT
bracis-28405	210	12	and	and	CCONJ
bracis-28405	210	13	\(\alpha	\(\alpha	NOUN
bracis-28405	210	14	=	=	ADJ
bracis-28405	210	15	0.2*(0.49	0.2*(0.49	NUM
bracis-28405	210	16	+	+	ADJ
bracis-28405	210	17	1	1	NUM
bracis-28405	210	18	/	/	SYM
bracis-28405	210	19	d)\	d)\	ADJ
bracis-28405	210	20	)	)	PUNCT
bracis-28405	210	21	.	.	PUNCT
bracis-28405	211	1	the	the	DET
bracis-28405	211	2	effect	effect	NOUN
bracis-28405	211	3	of	of	ADP
bracis-28405	211	4	intermediate	intermediate	ADJ
bracis-28405	211	5	-	-	PUNCT
bracis-28405	211	6	intensity	intensity	NOUN
bracis-28405	211	7	noise	noise	NOUN
bracis-28405	211	8	showed	show	VERB
bracis-28405	211	9	that	that	SCONJ
bracis-28405	211	10	the	the	DET
bracis-28405	211	11	trend	trend	NOUN
bracis-28405	211	12	of	of	ADP
bracis-28405	211	13	the	the	DET
bracis-28405	211	14	original	original	ADJ
bracis-28405	211	15	function	function	NOUN
bracis-28405	211	16	remained	remain	VERB
bracis-28405	211	17	.	.	PUNCT
bracis-28405	212	1	consequently	consequently	ADV
bracis-28405	212	2	,	,	PUNCT
bracis-28405	212	3	eas	ea	NOUN
bracis-28405	212	4	must	must	AUX
bracis-28405	212	5	be	be	AUX
bracis-28405	212	6	able	able	ADJ
bracis-28405	212	7	to	to	PART
bracis-28405	212	8	eliminate	eliminate	VERB
bracis-28405	212	9	the	the	DET
bracis-28405	212	10	effect	effect	NOUN
bracis-28405	212	11	of	of	ADP
bracis-28405	212	12	noise	noise	NOUN
bracis-28405	212	13	at	at	ADP
bracis-28405	212	14	this	this	DET
bracis-28405	212	15	intensity	intensity	NOUN
bracis-28405	212	16	.	.	PUNCT
bracis-28405	213	1	for	for	ADP
bracis-28405	213	2	this	this	DET
bracis-28405	213	3	test	test	NOUN
bracis-28405	213	4	set	set	NOUN
bracis-28405	213	5	(	(	PUNCT
bracis-28405	213	6	intermediate	intermediate	ADJ
bracis-28405	213	7	-	-	PUNCT
bracis-28405	213	8	intensity	intensity	NOUN
bracis-28405	213	9	)	)	PUNCT
bracis-28405	213	10	,	,	PUNCT
bracis-28405	213	11	30	30	NUM
bracis-28405	213	12	simulations	simulation	NOUN
bracis-28405	213	13	were	be	AUX
bracis-28405	213	14	performed	perform	VERB
bracis-28405	213	15	for	for	ADP
bracis-28405	213	16	each	each	DET
bracis-28405	213	17	front	front	NOUN
bracis-28405	213	18	and	and	CCONJ
bracis-28405	213	19	algorithm	algorithm	NOUN
bracis-28405	213	20	.	.	PUNCT
bracis-28405	214	1	the	the	DET
bracis-28405	214	2	igd	igd	NOUN
bracis-28405	214	3	(	(	PUNCT
bracis-28405	214	4	inverted	inverted	ADJ
bracis-28405	214	5	generational	generational	ADJ
bracis-28405	214	6	distance	distance	NOUN
bracis-28405	214	7	)	)	PUNCT
bracis-28405	214	8	evaluation	evaluation	NOUN
bracis-28405	214	9	metric	metric	NOUN
bracis-28405	214	10	[	[	X
bracis-28405	214	11	24	24	NUM
bracis-28405	214	12	]	]	PUNCT
bracis-28405	214	13	was	be	AUX
bracis-28405	214	14	calculated	calculate	VERB
bracis-28405	214	15	for	for	ADP
bracis-28405	214	16	each	each	DET
bracis-28405	214	17	simulation	simulation	NOUN
bracis-28405	214	18	,	,	PUNCT
bracis-28405	214	19	using	use	VERB
bracis-28405	214	20	the	the	DET
bracis-28405	214	21	robust	robust	ADJ
bracis-28405	214	22	front	front	NOUN
bracis-28405	214	23	as	as	SCONJ
bracis-28405	214	24	the	the	DET
bracis-28405	214	25	reference	reference	NOUN
bracis-28405	214	26	set	set	VERB
bracis-28405	214	27	.	.	PUNCT
bracis-28405	215	1	the	the	DET
bracis-28405	215	2	solution	solution	NOUN
bracis-28405	215	3	set	set	VERB
bracis-28405	215	4	that	that	PRON
bracis-28405	215	5	performed	perform	VERB
bracis-28405	215	6	best	well	ADV
bracis-28405	215	7	according	accord	VERB
bracis-28405	215	8	to	to	ADP
bracis-28405	215	9	the	the	DET
bracis-28405	215	10	igd	igd	NOUN
bracis-28405	215	11	metric	metric	ADJ
bracis-28405	215	12	(	(	PUNCT
bracis-28405	215	13	closest	close	ADJ
bracis-28405	215	14	to	to	ADP
bracis-28405	215	15	zero	zero	NUM
bracis-28405	215	16	)	)	PUNCT
bracis-28405	215	17	was	be	AUX
bracis-28405	215	18	chosen	choose	VERB
bracis-28405	215	19	,	,	PUNCT
bracis-28405	215	20	and	and	CCONJ
bracis-28405	215	21	fig	fig	NOUN
bracis-28405	215	22	.	.	PUNCT
bracis-28405	215	23	 	 	SPACE
bracis-28405	216	1	7	7	NUM
bracis-28405	216	2	shows	show	VERB
bracis-28405	216	3	these	these	DET
bracis-28405	216	4	results	result	NOUN
bracis-28405	216	5	for	for	ADP
bracis-28405	216	6	tests	test	NOUN
bracis-28405	216	7	of	of	ADP
bracis-28405	216	8	the	the	DET
bracis-28405	216	9	function	function	NOUN
bracis-28405	216	10	generator	generator	NOUN
bracis-28405	216	11	extension	extension	NOUN
bracis-28405	216	12	with	with	ADP
bracis-28405	216	13	intermediate	intermediate	ADJ
bracis-28405	216	14	noise	noise	NOUN
bracis-28405	216	15	intensity	intensity	NOUN
bracis-28405	216	16	and	and	CCONJ
bracis-28405	216	17	\(\delta	\(\delta	NOUN
bracis-28405	216	18	_	_	PROPN
bracis-28405	216	19	x=0.1\	x=0.1\	PROPN
bracis-28405	216	20	)	)	PUNCT
bracis-28405	216	21	.	.	PUNCT
bracis-28405	217	1	the	the	DET
bracis-28405	217	2	algorithms	algorithm	NOUN
bracis-28405	217	3	did	do	AUX
bracis-28405	217	4	not	not	PART
bracis-28405	217	5	achieve	achieve	VERB
bracis-28405	217	6	good	good	ADJ
bracis-28405	217	7	convergence	convergence	NOUN
bracis-28405	217	8	,	,	PUNCT
bracis-28405	217	9	regardless	regardless	ADV
bracis-28405	217	10	of	of	ADP
bracis-28405	217	11	the	the	DET
bracis-28405	217	12	geometry	geometry	NOUN
bracis-28405	217	13	of	of	ADP
bracis-28405	217	14	the	the	DET
bracis-28405	217	15	pf	pf	PROPN
bracis-28405	217	16	(	(	PUNCT
bracis-28405	217	17	convex	convex	PROPN
bracis-28405	217	18	,	,	PUNCT
bracis-28405	217	19	linear	linear	ADJ
bracis-28405	217	20	,	,	PUNCT
bracis-28405	217	21	or	or	CCONJ
bracis-28405	217	22	concave	concave	X
bracis-28405	217	23	)	)	PUNCT
bracis-28405	217	24	or	or	CCONJ
bracis-28405	217	25	the	the	DET
bracis-28405	217	26	type	type	NOUN
bracis-28405	217	27	of	of	ADP
bracis-28405	217	28	noise	noise	NOUN
bracis-28405	217	29	(	(	PUNCT
bracis-28405	217	30	gaussian	gaussian	NOUN
bracis-28405	217	31	or	or	CCONJ
bracis-28405	217	32	uniform	uniform	ADJ
bracis-28405	217	33	)	)	PUNCT
bracis-28405	217	34	.	.	PUNCT
bracis-28405	218	1	this	this	PRON
bracis-28405	218	2	indicates	indicate	VERB
bracis-28405	218	3	that	that	SCONJ
bracis-28405	218	4	,	,	PUNCT
bracis-28405	218	5	when	when	SCONJ
bracis-28405	218	6	the	the	DET
bracis-28405	218	7	noise	noise	NOUN
bracis-28405	218	8	has	have	VERB
bracis-28405	218	9	a	a	DET
bracis-28405	218	10	greater	great	ADJ
bracis-28405	218	11	effect	effect	NOUN
bracis-28405	218	12	(	(	PUNCT
bracis-28405	218	13	intermediate	intermediate	ADJ
bracis-28405	218	14	intensity	intensity	NOUN
bracis-28405	218	15	)	)	PUNCT
bracis-28405	218	16	,	,	PUNCT
bracis-28405	218	17	the	the	DET
bracis-28405	218	18	tested	test	VERB
bracis-28405	218	19	algorithms	algorithm	NOUN
bracis-28405	218	20	were	be	AUX
bracis-28405	218	21	unable	unable	ADJ
bracis-28405	218	22	to	to	PART
bracis-28405	218	23	eliminate	eliminate	VERB
bracis-28405	218	24	its	its	PRON
bracis-28405	218	25	effect	effect	NOUN
bracis-28405	218	26	with	with	ADP
bracis-28405	218	27	perturbation	perturbation	NOUN
bracis-28405	218	28	.	.	PUNCT
bracis-28405	219	1	specifically	specifically	ADV
bracis-28405	219	2	,	,	PUNCT
bracis-28405	219	3	rnsga	rnsga	PROPN
bracis-28405	219	4	-	-	PUNCT
bracis-28405	219	5	ii	ii	PROPN
bracis-28405	219	6	started	start	VERB
bracis-28405	219	7	to	to	PART
bracis-28405	219	8	converge	converge	VERB
bracis-28405	219	9	at	at	ADP
bracis-28405	219	10	the	the	DET
bracis-28405	219	11	extremes	extreme	NOUN
bracis-28405	219	12	and	and	CCONJ
bracis-28405	219	13	in	in	ADP
bracis-28405	219	14	the	the	DET
bracis-28405	219	15	middle	middle	NOUN
bracis-28405	219	16	of	of	ADP
bracis-28405	219	17	the	the	DET
bracis-28405	219	18	pf	pf	NOUN
bracis-28405	219	19	for	for	ADP
bracis-28405	219	20	gaussian	gaussian	ADJ
bracis-28405	219	21	noise	noise	NOUN
bracis-28405	219	22	and	and	CCONJ
bracis-28405	219	23	convex	convex	ADJ
bracis-28405	219	24	pf	pf	PROPN
bracis-28405	219	25	.	.	PUNCT
bracis-28405	220	1	the	the	DET
bracis-28405	220	2	same	same	ADJ
bracis-28405	220	3	happened	happen	VERB
bracis-28405	220	4	for	for	ADP
bracis-28405	220	5	linear	linear	PROPN
bracis-28405	220	6	pf	pf	NOUN
bracis-28405	220	7	,	,	PUNCT
bracis-28405	220	8	but	but	CCONJ
bracis-28405	220	9	with	with	ADP
bracis-28405	220	10	a	a	DET
bracis-28405	220	11	smaller	small	ADJ
bracis-28405	220	12	number	number	NOUN
bracis-28405	220	13	of	of	ADP
bracis-28405	220	14	solutions	solution	NOUN
bracis-28405	220	15	.	.	PUNCT
bracis-28405	221	1	some	some	DET
bracis-28405	221	2	rmoea	rmoea	NOUN
bracis-28405	221	3	/	/	SYM
bracis-28405	221	4	d	d	NOUN
bracis-28405	221	5	solutions	solution	NOUN
bracis-28405	221	6	also	also	ADV
bracis-28405	221	7	converged	converge	VERB
bracis-28405	221	8	in	in	ADP
bracis-28405	221	9	the	the	DET
bracis-28405	221	10	central	central	ADJ
bracis-28405	221	11	region	region	NOUN
bracis-28405	221	12	of	of	ADP
bracis-28405	221	13	the	the	DET
bracis-28405	221	14	robust	robust	ADJ
bracis-28405	221	15	pf	pf	NOUN
bracis-28405	221	16	(	(	PUNCT
bracis-28405	221	17	linear	linear	ADJ
bracis-28405	221	18	pf	pf	NOUN
bracis-28405	221	19	and	and	CCONJ
bracis-28405	221	20	gaussian	gaussian	ADJ
bracis-28405	221	21	noise	noise	NOUN
bracis-28405	221	22	)	)	PUNCT
bracis-28405	221	23	.	.	PUNCT
bracis-28405	222	1	these	these	DET
bracis-28405	222	2	algorithms	algorithm	NOUN
bracis-28405	222	3	did	do	AUX
bracis-28405	222	4	not	not	PART
bracis-28405	222	5	show	show	VERB
bracis-28405	222	6	convergence	convergence	NOUN
bracis-28405	222	7	when	when	SCONJ
bracis-28405	222	8	the	the	DET
bracis-28405	222	9	pf	pf	PROPN
bracis-28405	222	10	was	be	AUX
bracis-28405	222	11	concave	concave	VERB
bracis-28405	222	12	.	.	PUNCT
bracis-28405	223	1	the	the	DET
bracis-28405	223	2	solutions	solution	NOUN
bracis-28405	223	3	of	of	ADP
bracis-28405	223	4	the	the	DET
bracis-28405	223	5	c	c	NOUN
bracis-28405	223	6	-	-	PUNCT
bracis-28405	223	7	rmoea	rmoea	NOUN
bracis-28405	223	8	/	/	SYM
bracis-28405	223	9	d	d	NOUN
bracis-28405	223	10	algorithm	algorithm	NOUN
bracis-28405	223	11	showed	show	VERB
bracis-28405	223	12	a	a	DET
bracis-28405	223	13	trend	trend	NOUN
bracis-28405	223	14	of	of	ADP
bracis-28405	223	15	robust	robust	ADJ
bracis-28405	223	16	pf	pf	NOUN
bracis-28405	223	17	shapes	shape	NOUN
bracis-28405	223	18	for	for	ADP
bracis-28405	223	19	gaussian	gaussian	ADJ
bracis-28405	223	20	noise	noise	NOUN
bracis-28405	223	21	,	,	PUNCT
bracis-28405	223	22	mainly	mainly	ADV
bracis-28405	223	23	the	the	DET
bracis-28405	223	24	convex	convex	PROPN
bracis-28405	223	25	pf	pf	PROPN
bracis-28405	223	26	.	.	PROPN
bracis-28405	223	27	uniform	uniform	PROPN
bracis-28405	223	28	noise	noise	PROPN
bracis-28405	223	29	had	have	VERB
bracis-28405	223	30	a	a	DET
bracis-28405	223	31	more	more	ADV
bracis-28405	223	32	significant	significant	ADJ
bracis-28405	223	33	detrimental	detrimental	ADJ
bracis-28405	223	34	effect	effect	NOUN
bracis-28405	223	35	(	(	PUNCT
bracis-28405	223	36	compared	compare	VERB
bracis-28405	223	37	to	to	ADP
bracis-28405	223	38	gaussian	gaussian	NOUN
bracis-28405	223	39	)	)	PUNCT
bracis-28405	223	40	on	on	ADP
bracis-28405	223	41	the	the	DET
bracis-28405	223	42	original	original	ADJ
bracis-28405	223	43	function	function	NOUN
bracis-28405	223	44	.	.	PUNCT
bracis-28405	224	1	the	the	DET
bracis-28405	224	2	results	result	NOUN
bracis-28405	224	3	(	(	PUNCT
bracis-28405	224	4	fig	fig	NOUN
bracis-28405	224	5	.	.	PUNCT
bracis-28405	224	6	 	 	SPACE
bracis-28405	224	7	7	7	X
bracis-28405	224	8	)	)	PUNCT
bracis-28405	224	9	were	be	AUX
bracis-28405	224	10	consistent	consistent	ADJ
bracis-28405	224	11	for	for	ADP
bracis-28405	224	12	all	all	DET
bracis-28405	224	13	pf	pf	NOUN
bracis-28405	224	14	formats	format	NOUN
bracis-28405	224	15	and	and	CCONJ
bracis-28405	224	16	uniform	uniform	ADJ
bracis-28405	224	17	noise	noise	NOUN
bracis-28405	224	18	.	.	PUNCT
bracis-28405	225	1	the	the	DET
bracis-28405	225	2	algorithms	algorithm	NOUN
bracis-28405	225	3	did	do	AUX
bracis-28405	225	4	not	not	PART
bracis-28405	225	5	converge	converge	VERB
bracis-28405	225	6	.	.	PUNCT
bracis-28405	226	1	the	the	DET
bracis-28405	226	2	c	c	NOUN
bracis-28405	226	3	-	-	PUNCT
bracis-28405	226	4	rmoea	rmoea	NOUN
bracis-28405	226	5	/	/	SYM
bracis-28405	226	6	d	d	NOUN
bracis-28405	226	7	showed	show	VERB
bracis-28405	226	8	a	a	DET
bracis-28405	226	9	tendency	tendency	NOUN
bracis-28405	226	10	towards	towards	ADP
bracis-28405	226	11	solutions	solution	NOUN
bracis-28405	226	12	on	on	ADP
bracis-28405	226	13	the	the	DET
bracis-28405	226	14	border	border	NOUN
bracis-28405	226	15	.	.	PUNCT
bracis-28405	227	1	fig	fig	NOUN
bracis-28405	227	2	.	.	PUNCT
bracis-28405	228	1	7	7	X
bracis-28405	228	2	.	.	X
bracis-28405	228	3	result	result	NOUN
bracis-28405	228	4	for	for	ADP
bracis-28405	228	5	the	the	DET
bracis-28405	228	6	extension	extension	NOUN
bracis-28405	228	7	of	of	ADP
bracis-28405	228	8	the	the	DET
bracis-28405	228	9	function	function	NOUN
bracis-28405	228	10	generator	generator	NOUN
bracis-28405	228	11	intermediate	intermediate	ADJ
bracis-28405	228	12	noise	noise	NOUN
bracis-28405	228	13	and	and	CCONJ
bracis-28405	228	14	\(\delta	\(\delta	NOUN
bracis-28405	228	15	_	_	NOUN
bracis-28405	228	16	x	x	SYM
bracis-28405	228	17	=	=	SYM
bracis-28405	228	18	0.1\	0.1\	X
bracis-28405	228	19	)	)	PUNCT
bracis-28405	228	20	(	(	PUNCT
bracis-28405	228	21	perturbation	perturbation	NOUN
bracis-28405	228	22	in	in	ADP
bracis-28405	228	23	the	the	DET
bracis-28405	228	24	objective	objective	ADJ
bracis-28405	228	25	functions	function	NOUN
bracis-28405	228	26	and	and	CCONJ
bracis-28405	228	27	decision	decision	NOUN
bracis-28405	228	28	variables	variable	NOUN
bracis-28405	228	29	)	)	PUNCT
bracis-28405	228	30	.	.	PUNCT
bracis-28405	229	1	full	full	ADJ
bracis-28405	229	2	size	size	NOUN
bracis-28405	229	3	image	image	NOUN
bracis-28405	229	4	table	table	NOUN
bracis-28405	229	5	 	 	SPACE
bracis-28405	229	6	3	3	NUM
bracis-28405	229	7	contains	contain	VERB
bracis-28405	229	8	the	the	DET
bracis-28405	229	9	average	average	NOUN
bracis-28405	229	10	of	of	ADP
bracis-28405	229	11	the	the	DET
bracis-28405	229	12	igd	igd	NOUN
bracis-28405	229	13	metric	metric	NOUN
bracis-28405	229	14	for	for	ADP
bracis-28405	229	15	the	the	DET
bracis-28405	229	16	30	30	NUM
bracis-28405	229	17	simulations	simulation	NOUN
bracis-28405	229	18	,	,	PUNCT
bracis-28405	229	19	considering	consider	VERB
bracis-28405	229	20	the	the	DET
bracis-28405	229	21	robust	robust	ADJ
bracis-28405	229	22	front	front	NOUN
bracis-28405	229	23	as	as	ADP
bracis-28405	229	24	a	a	DET
bracis-28405	229	25	reference	reference	NOUN
bracis-28405	229	26	.	.	PUNCT
bracis-28405	230	1	the	the	DET
bracis-28405	230	2	previous	previous	ADJ
bracis-28405	230	3	results	result	NOUN
bracis-28405	230	4	qualitatively	qualitatively	ADV
bracis-28405	230	5	demonstrated	demonstrate	VERB
bracis-28405	230	6	that	that	SCONJ
bracis-28405	230	7	the	the	DET
bracis-28405	230	8	algorithms	algorithm	NOUN
bracis-28405	230	9	were	be	AUX
bracis-28405	230	10	not	not	PART
bracis-28405	230	11	able	able	ADJ
bracis-28405	230	12	to	to	PART
bracis-28405	230	13	deal	deal	VERB
bracis-28405	230	14	with	with	ADP
bracis-28405	230	15	simultaneous	simultaneous	ADJ
bracis-28405	230	16	uncertainties	uncertainty	NOUN
bracis-28405	230	17	.	.	PUNCT
bracis-28405	231	1	the	the	DET
bracis-28405	231	2	quantitative	quantitative	ADJ
bracis-28405	231	3	results	result	NOUN
bracis-28405	231	4	(	(	PUNCT
bracis-28405	231	5	table	table	NOUN
bracis-28405	231	6	 	 	SPACE
bracis-28405	231	7	3	3	NUM
bracis-28405	231	8	)	)	PUNCT
bracis-28405	231	9	reinforce	reinforce	VERB
bracis-28405	231	10	this	this	DET
bracis-28405	231	11	conclusion	conclusion	NOUN
bracis-28405	231	12	.	.	PUNCT
bracis-28405	232	1	the	the	DET
bracis-28405	232	2	average	average	ADJ
bracis-28405	232	3	igd	igd	NOUN
bracis-28405	232	4	was	be	AUX
bracis-28405	232	5	high	high	ADJ
bracis-28405	232	6	for	for	ADP
bracis-28405	232	7	all	all	DET
bracis-28405	232	8	algorithms	algorithm	NOUN
bracis-28405	232	9	(	(	PUNCT
bracis-28405	232	10	keep	keep	VERB
bracis-28405	232	11	in	in	ADP
bracis-28405	232	12	mind	mind	NOUN
bracis-28405	232	13	that	that	SCONJ
bracis-28405	232	14	a	a	DET
bracis-28405	232	15	lower	low	ADJ
bracis-28405	232	16	igd	igd	NOUN
bracis-28405	232	17	value	value	NOUN
bracis-28405	232	18	indicates	indicate	VERB
bracis-28405	232	19	better	well	ADJ
bracis-28405	232	20	performance	performance	NOUN
bracis-28405	232	21	)	)	PUNCT
bracis-28405	232	22	,	,	PUNCT
bracis-28405	232	23	except	except	SCONJ
bracis-28405	232	24	for	for	ADP
bracis-28405	232	25	the	the	DET
bracis-28405	232	26	crmoea	crmoea	NOUN
bracis-28405	232	27	/	/	SYM
bracis-28405	232	28	d	d	NOUN
bracis-28405	232	29	algorithm	algorithm	NOUN
bracis-28405	232	30	with	with	ADP
bracis-28405	232	31	convex	convex	PROPN
bracis-28405	232	32	shape	shape	NOUN
bracis-28405	232	33	.	.	PUNCT
bracis-28405	233	1	the	the	DET
bracis-28405	233	2	crmoea	crmoea	NOUN
bracis-28405	233	3	/	/	SYM
bracis-28405	233	4	d	d	NOUN
bracis-28405	233	5	can	can	AUX
bracis-28405	233	6	be	be	AUX
bracis-28405	233	7	considered	consider	VERB
bracis-28405	233	8	the	the	DET
bracis-28405	233	9	superior	superior	ADJ
bracis-28405	233	10	algorithm	algorithm	NOUN
bracis-28405	233	11	regardless	regardless	ADV
bracis-28405	233	12	of	of	ADP
bracis-28405	233	13	the	the	DET
bracis-28405	233	14	format	format	NOUN
bracis-28405	233	15	of	of	ADP
bracis-28405	233	16	the	the	DET
bracis-28405	233	17	pareto	pareto	ADJ
bracis-28405	233	18	front	front	NOUN
bracis-28405	233	19	.	.	PUNCT
bracis-28405	234	1	only	only	ADV
bracis-28405	234	2	for	for	ADP
bracis-28405	234	3	the	the	DET
bracis-28405	234	4	concave	concave	ADJ
bracis-28405	234	5	front	front	NOUN
bracis-28405	234	6	and	and	CCONJ
bracis-28405	234	7	uniform	uniform	ADJ
bracis-28405	234	8	noise	noise	NOUN
bracis-28405	234	9	,	,	PUNCT
bracis-28405	234	10	the	the	DET
bracis-28405	234	11	rnsga	rnsga	PROPN
bracis-28405	234	12	-	-	PUNCT
bracis-28405	234	13	ii	ii	PROPN
bracis-28405	234	14	algorithm	algorithm	NOUN
bracis-28405	234	15	showed	show	VERB
bracis-28405	234	16	slightly	slightly	ADV
bracis-28405	234	17	better	well	ADJ
bracis-28405	234	18	performance	performance	NOUN
bracis-28405	234	19	.	.	PUNCT
bracis-28405	235	1	table	table	NOUN
bracis-28405	235	2	3	3	NUM
bracis-28405	235	3	.	.	PUNCT
bracis-28405	235	4	results	result	NOUN
bracis-28405	235	5	of	of	ADP
bracis-28405	235	6	the	the	DET
bracis-28405	235	7	igd	igd	NOUN
bracis-28405	235	8	metric	metric	ADJ
bracis-28405	235	9	for	for	ADP
bracis-28405	235	10	intermediate	intermediate	ADJ
bracis-28405	235	11	intensity	intensity	NOUN
bracis-28405	235	12	noise	noise	NOUN
bracis-28405	235	13	and	and	CCONJ
bracis-28405	235	14	\(\delta	\(\delta	NOUN
bracis-28405	235	15	_	_	NOUN
bracis-28405	235	16	x	x	PUNCT
bracis-28405	236	1	=	=	PUNCT
bracis-28405	236	2	0.1\).full	0.1\).full	ADJ
bracis-28405	236	3	size	size	NOUN
bracis-28405	236	4	table	table	NOUN
bracis-28405	236	5	table	table	NOUN
bracis-28405	236	6	 	 	SPACE
bracis-28405	236	7	3	3	NUM
bracis-28405	236	8	displays	display	VERB
bracis-28405	236	9	the	the	DET
bracis-28405	236	10	variability	variability	NOUN
bracis-28405	236	11	of	of	ADP
bracis-28405	236	12	the	the	DET
bracis-28405	236	13	igd	igd	NOUN
bracis-28405	236	14	metric	metric	ADJ
bracis-28405	236	15	across	across	ADP
bracis-28405	236	16	30	30	NUM
bracis-28405	236	17	simulations	simulation	NOUN
bracis-28405	236	18	,	,	PUNCT
bracis-28405	236	19	using	use	VERB
bracis-28405	236	20	the	the	DET
bracis-28405	236	21	robust	robust	ADJ
bracis-28405	236	22	front	front	NOUN
bracis-28405	236	23	as	as	ADP
bracis-28405	236	24	the	the	DET
bracis-28405	236	25	reference	reference	NOUN
bracis-28405	236	26	,	,	PUNCT
bracis-28405	236	27	as	as	SCONJ
bracis-28405	236	28	indicated	indicate	VERB
bracis-28405	236	29	by	by	ADP
bracis-28405	236	30	the	the	DET
bracis-28405	236	31	standard	standard	ADJ
bracis-28405	236	32	deviation	deviation	NOUN
bracis-28405	236	33	.	.	PUNCT
bracis-28405	237	1	the	the	DET
bracis-28405	237	2	rnsga	rnsga	PROPN
bracis-28405	237	3	-	-	PUNCT
bracis-28405	237	4	ii	ii	PROPN
bracis-28405	237	5	algorithm	algorithm	NOUN
bracis-28405	237	6	demonstrated	demonstrate	VERB
bracis-28405	237	7	superiority	superiority	NOUN
bracis-28405	237	8	in	in	ADP
bracis-28405	237	9	this	this	DET
bracis-28405	237	10	test	test	NOUN
bracis-28405	237	11	across	across	ADP
bracis-28405	237	12	different	different	ADJ
bracis-28405	237	13	noise	noise	NOUN
bracis-28405	237	14	and	and	CCONJ
bracis-28405	237	15	border	border	NOUN
bracis-28405	237	16	shape	shape	NOUN
bracis-28405	237	17	settings	setting	NOUN
bracis-28405	237	18	,	,	PUNCT
bracis-28405	237	19	with	with	ADP
bracis-28405	237	20	consistently	consistently	ADV
bracis-28405	237	21	low	low	ADJ
bracis-28405	237	22	standard	standard	ADJ
bracis-28405	237	23	deviation	deviation	NOUN
bracis-28405	237	24	.	.	PUNCT
bracis-28405	238	1	the	the	DET
bracis-28405	238	2	standard	standard	ADJ
bracis-28405	238	3	deviation	deviation	NOUN
bracis-28405	238	4	test	test	NOUN
bracis-28405	238	5	indicates	indicate	VERB
bracis-28405	238	6	that	that	SCONJ
bracis-28405	238	7	the	the	DET
bracis-28405	238	8	rnsga	rnsga	PROPN
bracis-28405	238	9	-	-	PUNCT
bracis-28405	238	10	ii	ii	PROPN
bracis-28405	238	11	algorithm	algorithm	NOUN
bracis-28405	238	12	exhibited	exhibit	VERB
bracis-28405	238	13	minimal	minimal	ADJ
bracis-28405	238	14	variations	variation	NOUN
bracis-28405	238	15	in	in	ADP
bracis-28405	238	16	igd	igd	NOUN
bracis-28405	238	17	across	across	ADP
bracis-28405	238	18	the	the	DET
bracis-28405	238	19	30	30	NUM
bracis-28405	238	20	simulations	simulation	NOUN
bracis-28405	238	21	.	.	PUNCT
bracis-28405	239	1	the	the	DET
bracis-28405	239	2	crmoea	crmoea	NOUN
bracis-28405	239	3	/	/	SYM
bracis-28405	239	4	d	d	NOUN
bracis-28405	239	5	demonstrated	demonstrate	VERB
bracis-28405	239	6	superior	superior	ADJ
bracis-28405	239	7	performance	performance	NOUN
bracis-28405	239	8	compared	compare	VERB
bracis-28405	239	9	to	to	ADP
bracis-28405	239	10	the	the	DET
bracis-28405	239	11	average	average	ADJ
bracis-28405	239	12	igd	igd	NOUN
bracis-28405	239	13	.	.	PUNCT
bracis-28405	240	1	however	however	ADV
bracis-28405	240	2	,	,	PUNCT
bracis-28405	240	3	it	it	PRON
bracis-28405	240	4	is	be	AUX
bracis-28405	240	5	worth	worth	ADJ
bracis-28405	240	6	noting	note	VERB
bracis-28405	240	7	that	that	SCONJ
bracis-28405	240	8	the	the	DET
bracis-28405	240	9	standard	standard	ADJ
bracis-28405	240	10	deviation	deviation	NOUN
bracis-28405	240	11	was	be	AUX
bracis-28405	240	12	high	high	ADJ
bracis-28405	240	13	,	,	PUNCT
bracis-28405	240	14	suggesting	suggest	VERB
bracis-28405	240	15	the	the	DET
bracis-28405	240	16	presence	presence	NOUN
bracis-28405	240	17	of	of	ADP
bracis-28405	240	18	simulations	simulation	NOUN
bracis-28405	240	19	with	with	ADP
bracis-28405	240	20	exceptionally	exceptionally	ADV
bracis-28405	240	21	poor	poor	ADJ
bracis-28405	240	22	results	result	NOUN
bracis-28405	240	23	.	.	PUNCT
bracis-28405	241	1	conversely	conversely	ADV
bracis-28405	241	2	,	,	PUNCT
bracis-28405	241	3	the	the	DET
bracis-28405	241	4	rmoea	rmoea	NOUN
bracis-28405	241	5	/	/	SYM
bracis-28405	241	6	d	d	PROPN
bracis-28405	241	7	exhibited	exhibit	VERB
bracis-28405	241	8	unsatisfactory	unsatisfactory	ADJ
bracis-28405	241	9	outcomes	outcome	NOUN
bracis-28405	241	10	in	in	ADP
bracis-28405	241	11	terms	term	NOUN
bracis-28405	241	12	of	of	ADP
bracis-28405	241	13	both	both	CCONJ
bracis-28405	241	14	the	the	DET
bracis-28405	241	15	mean	mean	ADJ
bracis-28405	241	16	and	and	CCONJ
bracis-28405	241	17	standard	standard	ADJ
bracis-28405	241	18	deviation	deviation	NOUN
bracis-28405	241	19	.	.	PUNCT
bracis-28405	242	1	4.4	4.4	NUM
bracis-28405	242	2	discussion	discussion	NOUN
bracis-28405	242	3	algorithms	algorithm	NOUN
bracis-28405	242	4	with	with	ADP
bracis-28405	242	5	a	a	DET
bracis-28405	242	6	robustness	robustness	NOUN
bracis-28405	242	7	measure	measure	NOUN
bracis-28405	242	8	had	have	VERB
bracis-28405	242	9	no	no	DET
bracis-28405	242	10	difficulties	difficulty	NOUN
bracis-28405	242	11	in	in	ADP
bracis-28405	242	12	finding	find	VERB
bracis-28405	242	13	the	the	DET
bracis-28405	242	14	robust	robust	ADJ
bracis-28405	242	15	front	front	NOUN
bracis-28405	242	16	when	when	SCONJ
bracis-28405	242	17	the	the	DET
bracis-28405	242	18	problem	problem	NOUN
bracis-28405	242	19	has	have	VERB
bracis-28405	242	20	only	only	ADV
bracis-28405	242	21	perturbation	perturbation	NOUN
bracis-28405	242	22	.	.	PUNCT
bracis-28405	243	1	the	the	DET
bracis-28405	243	2	evolutionary	evolutionary	ADJ
bracis-28405	243	3	algorithms	algorithm	NOUN
bracis-28405	243	4	were	be	AUX
bracis-28405	243	5	able	able	ADJ
bracis-28405	243	6	to	to	PART
bracis-28405	243	7	eliminate	eliminate	VERB
bracis-28405	243	8	the	the	DET
bracis-28405	243	9	effect	effect	NOUN
bracis-28405	243	10	of	of	ADP
bracis-28405	243	11	noise	noise	NOUN
bracis-28405	243	12	for	for	ADP
bracis-28405	243	13	moderate	moderate	ADJ
bracis-28405	243	14	intensity	intensity	NOUN
bracis-28405	243	15	(	(	PUNCT
bracis-28405	243	16	noisy	noisy	ADJ
bracis-28405	243	17	optimization	optimization	NOUN
bracis-28405	243	18	)	)	PUNCT
bracis-28405	243	19	,	,	PUNCT
bracis-28405	243	20	including	include	VERB
bracis-28405	243	21	algorithms	algorithm	NOUN
bracis-28405	243	22	without	without	ADP
bracis-28405	243	23	any	any	DET
bracis-28405	243	24	robustness	robustness	NOUN
bracis-28405	243	25	measure	measure	NOUN
bracis-28405	243	26	(	(	PUNCT
bracis-28405	243	27	nsga	nsga	NOUN
bracis-28405	243	28	-	-	PUNCT
bracis-28405	243	29	ii	ii	NOUN
bracis-28405	243	30	and	and	CCONJ
bracis-28405	243	31	moea	moea	NOUN
bracis-28405	243	32	/	/	SYM
bracis-28405	243	33	d	d	NOUN
bracis-28405	243	34	)	)	PUNCT
bracis-28405	243	35	.	.	PUNCT
bracis-28405	244	1	however	however	ADV
bracis-28405	244	2	,	,	PUNCT
bracis-28405	244	3	the	the	DET
bracis-28405	244	4	algorithms	algorithm	NOUN
bracis-28405	244	5	did	do	AUX
bracis-28405	244	6	not	not	PART
bracis-28405	244	7	achieve	achieve	VERB
bracis-28405	244	8	convergence	convergence	NOUN
bracis-28405	244	9	when	when	SCONJ
bracis-28405	244	10	the	the	DET
bracis-28405	244	11	effect	effect	NOUN
bracis-28405	244	12	of	of	ADP
bracis-28405	244	13	gaussian	gaussian	ADJ
bracis-28405	244	14	and	and	CCONJ
bracis-28405	244	15	uniform	uniform	ADJ
bracis-28405	244	16	noise	noise	NOUN
bracis-28405	244	17	was	be	AUX
bracis-28405	244	18	high	high	ADJ
bracis-28405	244	19	(	(	PUNCT
bracis-28405	244	20	severe	severe	ADJ
bracis-28405	244	21	intensity	intensity	NOUN
bracis-28405	244	22	)	)	PUNCT
bracis-28405	244	23	.	.	PUNCT
bracis-28405	245	1	one	one	NUM
bracis-28405	245	2	possible	possible	ADJ
bracis-28405	245	3	explanation	explanation	NOUN
bracis-28405	245	4	is	be	AUX
bracis-28405	245	5	that	that	SCONJ
bracis-28405	245	6	the	the	DET
bracis-28405	245	7	intensity	intensity	NOUN
bracis-28405	245	8	of	of	ADP
bracis-28405	245	9	these	these	DET
bracis-28405	245	10	noises	noise	NOUN
bracis-28405	245	11	severely	severely	ADV
bracis-28405	245	12	deteriorates	deteriorate	VERB
bracis-28405	245	13	the	the	DET
bracis-28405	245	14	original	original	ADJ
bracis-28405	245	15	function	function	NOUN
bracis-28405	245	16	,	,	PUNCT
bracis-28405	245	17	causing	cause	VERB
bracis-28405	245	18	the	the	DET
bracis-28405	245	19	function	function	NOUN
bracis-28405	245	20	’s	’s	PART
bracis-28405	245	21	trend	trend	NOUN
bracis-28405	245	22	to	to	PART
bracis-28405	245	23	be	be	AUX
bracis-28405	245	24	lost	lose	VERB
bracis-28405	245	25	.	.	PUNCT
bracis-28405	246	1	cauchy	cauchy	PROPN
bracis-28405	246	2	noise	noise	NOUN
bracis-28405	246	3	is	be	AUX
bracis-28405	246	4	different	different	ADJ
bracis-28405	246	5	from	from	ADP
bracis-28405	246	6	the	the	DET
bracis-28405	246	7	previous	previous	ADJ
bracis-28405	246	8	ones	one	NOUN
bracis-28405	246	9	.	.	PUNCT
bracis-28405	247	1	this	this	DET
bracis-28405	247	2	noise	noise	NOUN
bracis-28405	247	3	has	have	VERB
bracis-28405	247	4	peaks	peak	NOUN
bracis-28405	247	5	of	of	ADP
bracis-28405	247	6	high	high	ADJ
bracis-28405	247	7	intensity	intensity	NOUN
bracis-28405	247	8	.	.	PUNCT
bracis-28405	248	1	as	as	ADP
bracis-28405	248	2	a	a	DET
bracis-28405	248	3	result	result	NOUN
bracis-28405	248	4	,	,	PUNCT
bracis-28405	248	5	the	the	DET
bracis-28405	248	6	trend	trend	NOUN
bracis-28405	248	7	of	of	ADP
bracis-28405	248	8	the	the	DET
bracis-28405	248	9	original	original	ADJ
bracis-28405	248	10	function	function	NOUN
bracis-28405	248	11	remains	remain	VERB
bracis-28405	248	12	even	even	ADV
bracis-28405	248	13	with	with	ADP
bracis-28405	248	14	severe	severe	ADJ
bracis-28405	248	15	cauchy	cauchy	PROPN
bracis-28405	248	16	noise	noise	NOUN
bracis-28405	248	17	.	.	PUNCT
bracis-28405	249	1	the	the	DET
bracis-28405	249	2	rmoea	rmoea	NOUN
bracis-28405	249	3	/	/	SYM
bracis-28405	249	4	d	d	NOUN
bracis-28405	249	5	algorithm	algorithm	NOUN
bracis-28405	249	6	had	have	VERB
bracis-28405	249	7	difficulties	difficulty	NOUN
bracis-28405	249	8	in	in	ADP
bracis-28405	249	9	mapping	map	VERB
bracis-28405	249	10	the	the	DET
bracis-28405	249	11	global	global	ADJ
bracis-28405	249	12	front	front	NOUN
bracis-28405	249	13	to	to	ADP
bracis-28405	249	14	severe	severe	ADJ
bracis-28405	249	15	cauchy	cauchy	NOUN
bracis-28405	249	16	noise	noise	NOUN
bracis-28405	249	17	.	.	PUNCT
bracis-28405	250	1	the	the	DET
bracis-28405	250	2	reason	reason	NOUN
bracis-28405	250	3	is	be	AUX
bracis-28405	250	4	that	that	DET
bracis-28405	250	5	noise	noise	NOUN
bracis-28405	250	6	has	have	AUX
bracis-28405	250	7	contaminated	contaminate	VERB
bracis-28405	250	8	the	the	DET
bracis-28405	250	9	average	average	ADJ
bracis-28405	250	10	value	value	NOUN
bracis-28405	250	11	(	(	PUNCT
bracis-28405	250	12	noise	noise	NOUN
bracis-28405	250	13	spikes	spike	NOUN
bracis-28405	250	14	have	have	AUX
bracis-28405	250	15	increased	increase	VERB
bracis-28405	250	16	the	the	DET
bracis-28405	250	17	average	average	NOUN
bracis-28405	250	18	)	)	PUNCT
bracis-28405	250	19	.	.	PUNCT
bracis-28405	251	1	the	the	DET
bracis-28405	251	2	original	original	ADJ
bracis-28405	251	3	moea	moea	NOUN
bracis-28405	251	4	/	/	SYM
bracis-28405	251	5	d	d	NOUN
bracis-28405	251	6	algorithm	algorithm	NOUN
bracis-28405	251	7	managed	manage	VERB
bracis-28405	251	8	to	to	PART
bracis-28405	251	9	map	map	VERB
bracis-28405	251	10	the	the	DET
bracis-28405	251	11	global	global	ADJ
bracis-28405	251	12	front	front	NOUN
bracis-28405	251	13	for	for	ADP
bracis-28405	251	14	this	this	DET
bracis-28405	251	15	noise	noise	NOUN
bracis-28405	251	16	.	.	PUNCT
bracis-28405	252	1	one	one	NUM
bracis-28405	252	2	explanation	explanation	NOUN
bracis-28405	252	3	is	be	AUX
bracis-28405	252	4	that	that	SCONJ
bracis-28405	252	5	the	the	DET
bracis-28405	252	6	evolutionary	evolutionary	ADJ
bracis-28405	252	7	process	process	NOUN
bracis-28405	252	8	eliminated	eliminate	VERB
bracis-28405	252	9	the	the	DET
bracis-28405	252	10	effect	effect	NOUN
bracis-28405	252	11	of	of	ADP
bracis-28405	252	12	noise	noise	NOUN
bracis-28405	252	13	on	on	ADP
bracis-28405	252	14	solutions	solution	NOUN
bracis-28405	252	15	.	.	PUNCT
bracis-28405	253	1	the	the	DET
bracis-28405	253	2	nsga	nsga	NOUN
bracis-28405	253	3	-	-	PUNCT
bracis-28405	253	4	ii	ii	PROPN
bracis-28405	253	5	and	and	CCONJ
bracis-28405	253	6	rnsga	rnsga	PROPN
bracis-28405	253	7	-	-	PUNCT
bracis-28405	253	8	ii	ii	PROPN
bracis-28405	253	9	algorithms	algorithm	NOUN
bracis-28405	253	10	achieved	achieve	VERB
bracis-28405	253	11	excellent	excellent	ADJ
bracis-28405	253	12	mapping	mapping	NOUN
bracis-28405	253	13	of	of	ADP
bracis-28405	253	14	the	the	DET
bracis-28405	253	15	global	global	ADJ
bracis-28405	253	16	front	front	NOUN
bracis-28405	253	17	for	for	ADP
bracis-28405	253	18	cauchy	cauchy	NOUN
bracis-28405	253	19	noise	noise	NOUN
bracis-28405	253	20	.	.	PUNCT
bracis-28405	254	1	this	this	PRON
bracis-28405	254	2	shows	show	VERB
bracis-28405	254	3	that	that	SCONJ
bracis-28405	254	4	the	the	DET
bracis-28405	254	5	characteristics	characteristic	NOUN
bracis-28405	254	6	of	of	ADP
bracis-28405	254	7	the	the	DET
bracis-28405	254	8	nsga	nsga	NOUN
bracis-28405	254	9	-	-	PUNCT
bracis-28405	254	10	ii	ii	PROPN
bracis-28405	254	11	(	(	PUNCT
bracis-28405	254	12	archive	archive	NOUN
bracis-28405	254	13	,	,	PUNCT
bracis-28405	254	14	elitism	elitism	NOUN
bracis-28405	254	15	,	,	PUNCT
bracis-28405	254	16	dominance	dominance	NOUN
bracis-28405	254	17	)	)	PUNCT
bracis-28405	254	18	eliminated	eliminate	VERB
bracis-28405	254	19	the	the	DET
bracis-28405	254	20	effect	effect	NOUN
bracis-28405	254	21	of	of	ADP
bracis-28405	254	22	this	this	DET
bracis-28405	254	23	noise	noise	NOUN
bracis-28405	254	24	,	,	PUNCT
bracis-28405	254	25	even	even	ADV
bracis-28405	254	26	when	when	SCONJ
bracis-28405	254	27	the	the	DET
bracis-28405	254	28	average	average	NOUN
bracis-28405	254	29	was	be	AUX
bracis-28405	254	30	used	use	VERB
bracis-28405	254	31	(	(	PUNCT
bracis-28405	254	32	rnsga	rnsga	NOUN
bracis-28405	254	33	-	-	PUNCT
bracis-28405	254	34	ii	ii	NOUN
bracis-28405	254	35	)	)	PUNCT
bracis-28405	254	36	.	.	PUNCT
bracis-28405	255	1	finally	finally	ADV
bracis-28405	255	2	,	,	PUNCT
bracis-28405	255	3	for	for	ADP
bracis-28405	255	4	robust	robust	ADJ
bracis-28405	255	5	noisy	noisy	ADJ
bracis-28405	255	6	problems	problem	NOUN
bracis-28405	255	7	,	,	PUNCT
bracis-28405	255	8	the	the	DET
bracis-28405	255	9	results	result	NOUN
bracis-28405	255	10	demonstrate	demonstrate	VERB
bracis-28405	255	11	that	that	SCONJ
bracis-28405	255	12	the	the	DET
bracis-28405	255	13	tested	test	VERB
bracis-28405	255	14	algorithms	algorithm	NOUN
bracis-28405	255	15	had	have	VERB
bracis-28405	255	16	difficulties	difficulty	NOUN
bracis-28405	255	17	in	in	ADP
bracis-28405	255	18	this	this	DET
bracis-28405	255	19	new	new	ADJ
bracis-28405	255	20	class	class	NOUN
bracis-28405	255	21	of	of	ADP
bracis-28405	255	22	problems	problem	NOUN
bracis-28405	255	23	.	.	PUNCT
bracis-28405	256	1	some	some	DET
bracis-28405	256	2	solutions	solution	NOUN
bracis-28405	256	3	started	start	VERB
bracis-28405	256	4	to	to	PART
bracis-28405	256	5	deteriorate	deteriorate	VERB
bracis-28405	256	6	with	with	ADP
bracis-28405	256	7	moderate	moderate	ADJ
bracis-28405	256	8	noise	noise	NOUN
bracis-28405	256	9	and	and	CCONJ
bracis-28405	256	10	perturbation	perturbation	NOUN
bracis-28405	256	11	.	.	PUNCT
bracis-28405	257	1	we	we	PRON
bracis-28405	257	2	performed	perform	VERB
bracis-28405	257	3	some	some	DET
bracis-28405	257	4	tests	test	NOUN
bracis-28405	257	5	by	by	ADP
bracis-28405	257	6	increasing	increase	VERB
bracis-28405	257	7	the	the	DET
bracis-28405	257	8	noise	noise	NOUN
bracis-28405	257	9	intensity	intensity	NOUN
bracis-28405	257	10	and	and	CCONJ
bracis-28405	257	11	observed	observe	VERB
bracis-28405	257	12	that	that	SCONJ
bracis-28405	257	13	the	the	DET
bracis-28405	257	14	algorithms	algorithm	NOUN
bracis-28405	257	15	presented	present	VERB
bracis-28405	257	16	greater	great	ADJ
bracis-28405	257	17	difficulty	difficulty	NOUN
bracis-28405	257	18	for	for	ADP
bracis-28405	257	19	problems	problem	NOUN
bracis-28405	257	20	with	with	ADP
bracis-28405	257	21	simultaneous	simultaneous	ADJ
bracis-28405	257	22	uncertainties	uncertainty	NOUN
bracis-28405	257	23	.	.	PUNCT
bracis-28405	258	1	thus	thus	ADV
bracis-28405	258	2	,	,	PUNCT
bracis-28405	258	3	we	we	PRON
bracis-28405	258	4	created	create	VERB
bracis-28405	258	5	an	an	DET
bracis-28405	258	6	intermediate	intermediate	ADJ
bracis-28405	258	7	noise	noise	NOUN
bracis-28405	258	8	.	.	PUNCT
bracis-28405	259	1	the	the	DET
bracis-28405	259	2	algorithms	algorithm	NOUN
bracis-28405	259	3	did	do	AUX
bracis-28405	259	4	not	not	PART
bracis-28405	259	5	solve	solve	VERB
bracis-28405	259	6	the	the	DET
bracis-28405	259	7	problems	problem	NOUN
bracis-28405	259	8	with	with	ADP
bracis-28405	259	9	perturbation	perturbation	NOUN
bracis-28405	259	10	and	and	CCONJ
bracis-28405	259	11	intermediate	intermediate	ADJ
bracis-28405	259	12	noise	noise	NOUN
bracis-28405	259	13	.	.	PUNCT
bracis-28405	260	1	to	to	PART
bracis-28405	260	2	confirm	confirm	VERB
bracis-28405	260	3	the	the	DET
bracis-28405	260	4	conclusion	conclusion	NOUN
bracis-28405	260	5	presented	present	VERB
bracis-28405	260	6	in	in	ADP
bracis-28405	260	7	this	this	DET
bracis-28405	260	8	discussion	discussion	NOUN
bracis-28405	260	9	,	,	PUNCT
bracis-28405	260	10	results	result	NOUN
bracis-28405	260	11	are	be	AUX
bracis-28405	260	12	provided	provide	VERB
bracis-28405	260	13	for	for	ADP
bracis-28405	260	14	gaussian	gaussian	ADJ
bracis-28405	260	15	noise	noise	NOUN
bracis-28405	260	16	with	with	ADP
bracis-28405	260	17	a	a	DET
bracis-28405	260	18	value	value	NOUN
bracis-28405	260	19	of	of	ADP
bracis-28405	260	20	\(\beta	\(\beta	NOUN
bracis-28405	260	21	=	=	SYM
bracis-28405	260	22	0.25\	0.25\	PROPN
bracis-28405	260	23	)	)	PUNCT
bracis-28405	260	24	,	,	PUNCT
bracis-28405	260	25	as	as	SCONJ
bracis-28405	260	26	depicted	depict	VERB
bracis-28405	260	27	in	in	ADP
bracis-28405	260	28	fig	fig	NOUN
bracis-28405	260	29	.	.	PUNCT
bracis-28405	260	30	 	 	SPACE
bracis-28405	261	1	8	8	NUM
bracis-28405	261	2	.	.	PUNCT
bracis-28405	262	1	the	the	DET
bracis-28405	262	2	rnsga	rnsga	PROPN
bracis-28405	262	3	-	-	PUNCT
bracis-28405	262	4	ii	ii	PROPN
bracis-28405	262	5	algorithm	algorithm	NOUN
bracis-28405	262	6	successfully	successfully	ADV
bracis-28405	262	7	mapped	map	VERB
bracis-28405	262	8	the	the	DET
bracis-28405	262	9	global	global	ADJ
bracis-28405	262	10	frontier	frontier	NOUN
bracis-28405	262	11	when	when	SCONJ
bracis-28405	262	12	the	the	DET
bracis-28405	262	13	problem	problem	NOUN
bracis-28405	262	14	contained	contain	VERB
bracis-28405	262	15	only	only	ADV
bracis-28405	262	16	noise	noise	NOUN
bracis-28405	262	17	.	.	PUNCT
bracis-28405	263	1	however	however	ADV
bracis-28405	263	2	,	,	PUNCT
bracis-28405	263	3	when	when	SCONJ
bracis-28405	263	4	both	both	DET
bracis-28405	263	5	perturbation	perturbation	NOUN
bracis-28405	263	6	and	and	CCONJ
bracis-28405	263	7	noise	noise	NOUN
bracis-28405	263	8	were	be	AUX
bracis-28405	263	9	present	present	ADJ
bracis-28405	263	10	,	,	PUNCT
bracis-28405	263	11	the	the	DET
bracis-28405	263	12	majority	majority	NOUN
bracis-28405	263	13	of	of	ADP
bracis-28405	263	14	algorithm	algorithm	NOUN
bracis-28405	263	15	solutions	solution	NOUN
bracis-28405	263	16	did	do	AUX
bracis-28405	263	17	not	not	PART
bracis-28405	263	18	converge	converge	VERB
bracis-28405	263	19	.	.	PUNCT
bracis-28405	264	1	fig	fig	NOUN
bracis-28405	264	2	.	.	PUNCT
bracis-28405	265	1	8	8	X
bracis-28405	265	2	.	.	X
bracis-28405	265	3	result	result	VERB
bracis-28405	265	4	for	for	ADP
bracis-28405	265	5	the	the	DET
bracis-28405	265	6	extension	extension	NOUN
bracis-28405	265	7	of	of	ADP
bracis-28405	265	8	the	the	DET
bracis-28405	265	9	function	function	NOUN
bracis-28405	265	10	generator	generator	NOUN
bracis-28405	265	11	\(\beta	\(\beta	PROPN
bracis-28405	265	12	=	=	NOUN
bracis-28405	265	13	0.25\	0.25\	NOUN
bracis-28405	265	14	)	)	PUNCT
bracis-28405	265	15	gaussian	gaussian	ADJ
bracis-28405	265	16	noise	noise	NOUN
bracis-28405	265	17	)	)	PUNCT
bracis-28405	265	18	.	.	PUNCT
bracis-28405	266	1	full	full	ADJ
bracis-28405	266	2	size	size	NOUN
bracis-28405	266	3	image	image	NOUN
bracis-28405	266	4	5	5	NUM
bracis-28405	266	5	conclusion	conclusion	NOUN
bracis-28405	266	6	in	in	ADP
bracis-28405	266	7	the	the	DET
bracis-28405	266	8	real	real	ADJ
bracis-28405	266	9	world	world	NOUN
bracis-28405	266	10	,	,	PUNCT
bracis-28405	266	11	simultaneous	simultaneous	ADJ
bracis-28405	266	12	uncertainties	uncertainty	NOUN
bracis-28405	266	13	are	be	AUX
bracis-28405	266	14	common	common	ADJ
bracis-28405	266	15	.	.	PUNCT
bracis-28405	267	1	a	a	DET
bracis-28405	267	2	practical	practical	ADJ
bracis-28405	267	3	example	example	NOUN
bracis-28405	267	4	is	be	AUX
bracis-28405	267	5	a	a	DET
bracis-28405	267	6	drilling	drilling	NOUN
bracis-28405	267	7	process	process	NOUN
bracis-28405	267	8	,	,	PUNCT
bracis-28405	267	9	where	where	SCONJ
bracis-28405	267	10	the	the	DET
bracis-28405	267	11	sensor	sensor	NOUN
bracis-28405	267	12	measuring	measure	VERB
bracis-28405	267	13	the	the	DET
bracis-28405	267	14	depth	depth	NOUN
bracis-28405	267	15	is	be	AUX
bracis-28405	267	16	subject	subject	ADJ
bracis-28405	267	17	to	to	ADP
bracis-28405	267	18	uncertainty	uncertainty	NOUN
bracis-28405	267	19	(	(	PUNCT
bracis-28405	267	20	resulting	result	VERB
bracis-28405	267	21	in	in	ADP
bracis-28405	267	22	noise	noise	NOUN
bracis-28405	267	23	in	in	ADP
bracis-28405	267	24	the	the	DET
bracis-28405	267	25	objective	objective	ADJ
bracis-28405	267	26	function	function	NOUN
bracis-28405	267	27	)	)	PUNCT
bracis-28405	267	28	,	,	PUNCT
bracis-28405	267	29	and	and	CCONJ
bracis-28405	267	30	the	the	DET
bracis-28405	267	31	drill	drill	NOUN
bracis-28405	267	32	(	(	PUNCT
bracis-28405	267	33	actuator	actuator	NOUN
bracis-28405	267	34	)	)	PUNCT
bracis-28405	267	35	is	be	AUX
bracis-28405	267	36	also	also	ADV
bracis-28405	267	37	subject	subject	ADJ
bracis-28405	267	38	to	to	ADP
bracis-28405	267	39	uncertainty	uncertainty	NOUN
bracis-28405	267	40	(	(	PUNCT
bracis-28405	267	41	resulting	result	VERB
bracis-28405	267	42	in	in	ADP
bracis-28405	267	43	perturbations	perturbation	NOUN
bracis-28405	267	44	in	in	ADP
bracis-28405	267	45	the	the	DET
bracis-28405	267	46	decision	decision	NOUN
bracis-28405	267	47	variables	variable	NOUN
bracis-28405	267	48	)	)	PUNCT
bracis-28405	267	49	.	.	PUNCT
bracis-28405	268	1	the	the	DET
bracis-28405	268	2	authors	author	NOUN
bracis-28405	268	3	identified	identify	VERB
bracis-28405	268	4	a	a	DET
bracis-28405	268	5	deficiency	deficiency	NOUN
bracis-28405	268	6	in	in	ADP
bracis-28405	268	7	the	the	DET
bracis-28405	268	8	field	field	NOUN
bracis-28405	268	9	of	of	ADP
bracis-28405	268	10	optimization	optimization	NOUN
bracis-28405	268	11	with	with	ADP
bracis-28405	268	12	uncertainty	uncertainty	NOUN
bracis-28405	268	13	,	,	PUNCT
bracis-28405	268	14	as	as	SCONJ
bracis-28405	268	15	no	no	DET
bracis-28405	268	16	previous	previous	ADJ
bracis-28405	268	17	research	research	NOUN
bracis-28405	268	18	had	have	AUX
bracis-28405	268	19	dealt	deal	VERB
bracis-28405	268	20	with	with	ADP
bracis-28405	268	21	simultaneous	simultaneous	ADJ
bracis-28405	268	22	uncertainties	uncertainty	NOUN
bracis-28405	268	23	.	.	PUNCT
bracis-28405	269	1	the	the	DET
bracis-28405	269	2	results	result	NOUN
bracis-28405	269	3	indicated	indicate	VERB
bracis-28405	269	4	that	that	SCONJ
bracis-28405	269	5	the	the	DET
bracis-28405	269	6	algorithms	algorithm	NOUN
bracis-28405	269	7	tested	test	VERB
bracis-28405	269	8	(	(	PUNCT
bracis-28405	269	9	rnsga	rnsga	PROPN
bracis-28405	269	10	-	-	PUNCT
bracis-28405	269	11	ii	ii	PROPN
bracis-28405	269	12	,	,	PUNCT
bracis-28405	269	13	rmoea	rmoea	PROPN
bracis-28405	269	14	/	/	SYM
bracis-28405	269	15	d	d	NOUN
bracis-28405	269	16	,	,	PUNCT
bracis-28405	269	17	and	and	CCONJ
bracis-28405	269	18	crmoea	crmoea	PROPN
bracis-28405	269	19	/	/	SYM
bracis-28405	269	20	d	d	NOUN
bracis-28405	269	21	)	)	PUNCT
bracis-28405	269	22	were	be	AUX
bracis-28405	269	23	unable	unable	ADJ
bracis-28405	269	24	to	to	PART
bracis-28405	269	25	effectively	effectively	ADV
bracis-28405	269	26	handle	handle	VERB
bracis-28405	269	27	simultaneous	simultaneous	ADJ
bracis-28405	269	28	uncertainties	uncertainty	NOUN
bracis-28405	269	29	.	.	PUNCT
bracis-28405	270	1	consequently	consequently	ADV
bracis-28405	270	2	,	,	PUNCT
bracis-28405	270	3	there	there	PRON
bracis-28405	270	4	is	be	VERB
bracis-28405	270	5	a	a	DET
bracis-28405	270	6	need	need	NOUN
bracis-28405	270	7	to	to	PART
bracis-28405	270	8	formulate	formulate	VERB
bracis-28405	270	9	algorithms	algorithm	NOUN
bracis-28405	270	10	that	that	PRON
bracis-28405	270	11	are	be	AUX
bracis-28405	270	12	capable	capable	ADJ
bracis-28405	270	13	of	of	ADP
bracis-28405	270	14	handling	handle	VERB
bracis-28405	270	15	both	both	CCONJ
bracis-28405	270	16	robust	robust	ADJ
bracis-28405	270	17	and	and	CCONJ
bracis-28405	270	18	noisy	noisy	ADJ
bracis-28405	270	19	environments	environment	NOUN
bracis-28405	270	20	concurrently	concurrently	ADV
bracis-28405	270	21	.	.	PUNCT
bracis-28405	271	1	notes	note	NOUN
bracis-28405	271	2	1.for	1.for	ADP
bracis-28405	271	3	gaussian	gaussian	ADJ
bracis-28405	271	4	noise	noise	NOUN
bracis-28405	271	5	:	:	PUNCT
bracis-28405	271	6	moderate	moderate	ADJ
bracis-28405	271	7	intensity	intensity	NOUN
bracis-28405	271	8	considers	consider	VERB
bracis-28405	271	9	\(\beta	\(\beta	PROPN
bracis-28405	271	10	=	=	SYM
bracis-28405	271	11	0.01\	0.01\	NUM
bracis-28405	271	12	)	)	PUNCT
bracis-28405	271	13	,	,	PUNCT
bracis-28405	271	14	which	which	PRON
bracis-28405	271	15	corresponds	correspond	VERB
bracis-28405	271	16	to	to	ADP
bracis-28405	271	17	a	a	DET
bracis-28405	271	18	variation	variation	NOUN
bracis-28405	271	19	of	of	ADP
bracis-28405	271	20	up	up	ADV
bracis-28405	271	21	 	 	SPACE
bracis-28405	271	22	to	to	ADP
bracis-28405	271	23	3\(\%\	3\(\%\	NUM
bracis-28405	271	24	)	)	PUNCT
bracis-28405	271	25	(	(	PUNCT
bracis-28405	271	26	either	either	CCONJ
bracis-28405	271	27	multiplying	multiply	VERB
bracis-28405	271	28	the	the	DET
bracis-28405	271	29	function	function	NOUN
bracis-28405	271	30	by	by	ADP
bracis-28405	271	31	1.03	1.03	NUM
bracis-28405	271	32	or	or	CCONJ
bracis-28405	271	33	multiplying	multiply	VERB
bracis-28405	271	34	the	the	DET
bracis-28405	271	35	function	function	NOUN
bracis-28405	271	36	by	by	ADP
bracis-28405	271	37	0.97	0.97	NUM
bracis-28405	271	38	)	)	PUNCT
bracis-28405	271	39	;	;	PUNCT
bracis-28405	271	40	severe	severe	ADJ
bracis-28405	271	41	intensity	intensity	NOUN
bracis-28405	271	42	considers	consider	VERB
bracis-28405	271	43	\(\beta	\(\beta	NOUN
bracis-28405	271	44	=	=	SYM
bracis-28405	271	45	1\	1\	NUM
bracis-28405	271	46	)	)	PUNCT
bracis-28405	271	47	,	,	PUNCT
bracis-28405	271	48	resulting	result	VERB
bracis-28405	271	49	in	in	ADP
bracis-28405	271	50	a	a	DET
bracis-28405	271	51	variation	variation	NOUN
bracis-28405	271	52	of	of	ADP
bracis-28405	271	53	up	up	ADV
bracis-28405	271	54	 	 	SPACE
bracis-28405	271	55	to	to	ADP
bracis-28405	271	56	20	20	NUM
bracis-28405	271	57	times	time	NOUN
bracis-28405	271	58	(	(	PUNCT
bracis-28405	271	59	either	either	CCONJ
bracis-28405	271	60	multiplying	multiply	VERB
bracis-28405	271	61	the	the	DET
bracis-28405	271	62	function	function	NOUN
bracis-28405	271	63	by	by	ADP
bracis-28405	271	64	20	20	NUM
bracis-28405	271	65	or	or	CCONJ
bracis-28405	271	66	dividing	divide	VERB
bracis-28405	271	67	the	the	DET
bracis-28405	271	68	function	function	NOUN
bracis-28405	271	69	by	by	ADP
bracis-28405	271	70	20	20	NUM
bracis-28405	271	71	)	)	PUNCT
bracis-28405	271	72	.	.	PUNCT
bracis-28405	272	1	for	for	ADP
bracis-28405	272	2	uniform	uniform	ADJ
bracis-28405	272	3	noise	noise	NOUN
bracis-28405	272	4	:	:	PUNCT
bracis-28405	272	5	moderate	moderate	ADJ
bracis-28405	272	6	intensity	intensity	NOUN
bracis-28405	272	7	considers	consider	VERB
bracis-28405	272	8	\(\beta	\(\beta	NOUN
bracis-28405	272	9	=	=	ADJ
bracis-28405	272	10	0.01\	0.01\	NUM
bracis-28405	272	11	)	)	PUNCT
bracis-28405	272	12	and	and	CCONJ
bracis-28405	272	13	\(\alpha	\(\alpha	NOUN
bracis-28405	272	14	=	=	SYM
bracis-28405	272	15	0.01(0.49	0.01(0.49	PUNCT
bracis-28405	273	1	+	+	NOUN
bracis-28405	273	2	1	1	NUM
bracis-28405	273	3	/	/	SYM
bracis-28405	273	4	d)\	d)\	ADJ
bracis-28405	273	5	)	)	PUNCT
bracis-28405	273	6	,	,	PUNCT
bracis-28405	273	7	where	where	SCONJ
bracis-28405	273	8	d	d	NOUN
bracis-28405	273	9	represents	represent	VERB
bracis-28405	273	10	the	the	DET
bracis-28405	273	11	number	number	NOUN
bracis-28405	273	12	of	of	ADP
bracis-28405	273	13	decision	decision	NOUN
bracis-28405	273	14	variables	variable	NOUN
bracis-28405	273	15	(	(	PUNCT
bracis-28405	273	16	always	always	ADV
bracis-28405	273	17	considered	consider	VERB
bracis-28405	273	18	as	as	ADP
bracis-28405	273	19	24	24	NUM
bracis-28405	273	20	in	in	ADP
bracis-28405	273	21	this	this	DET
bracis-28405	273	22	work	work	NOUN
bracis-28405	273	23	)	)	PUNCT
bracis-28405	273	24	,	,	PUNCT
bracis-28405	273	25	resulting	result	VERB
bracis-28405	273	26	in	in	ADP
bracis-28405	273	27	a	a	DET
bracis-28405	273	28	variation	variation	NOUN
bracis-28405	273	29	of	of	ADP
bracis-28405	273	30	up	up	ADV
bracis-28405	273	31	 	 	SPACE
bracis-28405	273	32	to	to	ADP
bracis-28405	273	33	12\(\%\	12\(\%\	NUM
bracis-28405	273	34	)	)	PUNCT
bracis-28405	273	35	;	;	PUNCT
bracis-28405	273	36	severe	severe	ADJ
bracis-28405	273	37	intensity	intensity	NOUN
bracis-28405	273	38	considers	consider	VERB
bracis-28405	273	39	\(\beta	\(\beta	NOUN
bracis-28405	273	40	=	=	SYM
bracis-28405	273	41	1\	1\	NUM
bracis-28405	273	42	)	)	PUNCT
bracis-28405	273	43	and	and	CCONJ
bracis-28405	273	44	\(\alpha	\(\alpha	NOUN
bracis-28405	273	45	=	=	SYM
bracis-28405	273	46	0.49	0.49	NUM
bracis-28405	273	47	+	+	NOUN
bracis-28405	273	48	1	1	NUM
bracis-28405	273	49	/	/	SYM
bracis-28405	273	50	d\	d\	NOUN
bracis-28405	273	51	)	)	PUNCT
bracis-28405	273	52	,	,	PUNCT
bracis-28405	273	53	resulting	result	VERB
bracis-28405	273	54	in	in	ADP
bracis-28405	273	55	a	a	DET
bracis-28405	273	56	variation	variation	NOUN
bracis-28405	273	57	of	of	ADP
bracis-28405	273	58	up	up	ADV
bracis-28405	273	59	 	 	SPACE
bracis-28405	273	60	to	to	ADP
bracis-28405	273	61	tens	ten	NOUN
bracis-28405	273	62	of	of	ADP
bracis-28405	273	63	thousands	thousand	NOUN
bracis-28405	273	64	.	.	PUNCT
bracis-28405	274	1	for	for	ADP
bracis-28405	274	2	cauchy	cauchy	PROPN
bracis-28405	274	3	noise	noise	NOUN
bracis-28405	274	4	:	:	PUNCT
bracis-28405	274	5	moderate	moderate	ADJ
bracis-28405	274	6	intensity	intensity	NOUN
bracis-28405	274	7	considers	consider	VERB
bracis-28405	274	8	\(\alpha	\(\alpha	ADJ
bracis-28405	274	9	=	=	SYM
bracis-28405	274	10	0.01\	0.01\	NUM
bracis-28405	274	11	)	)	PUNCT
bracis-28405	274	12	and	and	CCONJ
bracis-28405	274	13	\(p	\(p	PROPN
bracis-28405	274	14	=	=	SYM
bracis-28405	274	15	0.05\	0.05\	PROPN
bracis-28405	274	16	)	)	PUNCT
bracis-28405	274	17	;	;	PUNCT
bracis-28405	274	18	severe	severe	ADJ
bracis-28405	274	19	intensity	intensity	NOUN
bracis-28405	274	20	considers	consider	VERB
bracis-28405	274	21	\(\alpha	\(\alpha	ADJ
bracis-28405	274	22	=	=	SYM
bracis-28405	274	23	1\	1\	NUM
bracis-28405	274	24	)	)	PUNCT
bracis-28405	274	25	and	and	CCONJ
bracis-28405	274	26	\(p	\(p	X
bracis-28405	274	27	=	=	SYM
bracis-28405	274	28	0.2\	0.2\	ADJ
bracis-28405	274	29	)	)	PUNCT
bracis-28405	274	30	.	.	PUNCT
bracis-28405	275	1	2.further	2.further	NUM
bracis-28405	275	2	details	detail	NOUN
bracis-28405	275	3	on	on	ADP
bracis-28405	275	4	the	the	DET
bracis-28405	275	5	decomposition	decomposition	NOUN
bracis-28405	275	6	algorithm	algorithm	NOUN
bracis-28405	275	7	and	and	CCONJ
bracis-28405	275	8	methods	method	NOUN
bracis-28405	275	9	can	can	AUX
bracis-28405	275	10	be	be	AUX
bracis-28405	275	11	found	find	VERB
bracis-28405	275	12	in	in	ADP
bracis-28405	275	13	[	[	X
bracis-28405	275	14	23	23	NUM
bracis-28405	275	15	]	]	PUNCT
bracis-28405	275	16	.	.	PUNCT
bracis-28405	276	1	references	reference	NOUN
bracis-28405	276	2	balouka	balouka	VERB
bracis-28405	276	3	,	,	PUNCT
bracis-28405	276	4	n.	n.	PROPN
bracis-28405	276	5	,	,	PUNCT
bracis-28405	276	6	cohen	cohen	PROPN
bracis-28405	276	7	,	,	PUNCT
bracis-28405	276	8	i.	i.	PROPN
bracis-28405	276	9	:	:	PUNCT
bracis-28405	276	10	a	a	DET
bracis-28405	276	11	robust	robust	ADJ
bracis-28405	276	12	optimization	optimization	NOUN
bracis-28405	276	13	approach	approach	NOUN
bracis-28405	276	14	for	for	ADP
bracis-28405	276	15	the	the	DET
bracis-28405	276	16	multi	multi	ADJ
bracis-28405	276	17	-	-	ADJ
bracis-28405	276	18	mode	mode	ADJ
bracis-28405	276	19	resource	resource	NOUN
bracis-28405	276	20	-	-	PUNCT
bracis-28405	276	21	constrained	constrain	VERB
bracis-28405	276	22	project	project	NOUN
bracis-28405	276	23	scheduling	scheduling	NOUN
bracis-28405	276	24	problem	problem	NOUN
bracis-28405	276	25	.	.	PUNCT
bracis-28405	277	1	eur	eur	PROPN
bracis-28405	277	2	.	.	PUNCT
bracis-28405	278	1	j.	j.	PROPN
bracis-28405	278	2	oper	oper	PROPN
bracis-28405	278	3	.	.	PUNCT
bracis-28405	279	1	res	res	PROPN
bracis-28405	279	2	.	.	PUNCT
bracis-28405	280	1	291(2	291(2	NUM
bracis-28405	280	2	)	)	PUNCT
bracis-28405	280	3	,	,	PUNCT
bracis-28405	281	1	457–470	457–470	NUM
bracis-28405	281	2	(	(	PUNCT
bracis-28405	281	3	2021	2021	NUM
bracis-28405	281	4	)	)	PUNCT
bracis-28405	281	5	article	article	NOUN
bracis-28405	281	6	  	  	SPACE
bracis-28405	281	7	mathscinet	mathscinet	NOUN
bracis-28405	281	8	  	  	SPACE
bracis-28405	281	9	math	math	NOUN
bracis-28405	281	10	  	  	SPACE
bracis-28405	281	11	google	google	PROPN
bracis-28405	281	12	scholar	scholar	NOUN
bracis-28405	281	13	  	  	SPACE
bracis-28405	281	14	ben	ben	PROPN
bracis-28405	281	15	-	-	PROPN
bracis-28405	281	16	tal	tal	PROPN
bracis-28405	281	17	,	,	PUNCT
bracis-28405	281	18	a.	a.	PROPN
bracis-28405	281	19	,	,	PUNCT
bracis-28405	281	20	el	el	PROPN
bracis-28405	281	21	ghaoui	ghaoui	PROPN
bracis-28405	281	22	,	,	PUNCT
bracis-28405	281	23	l.	l.	PROPN
bracis-28405	281	24	,	,	PUNCT
bracis-28405	281	25	nemirovski	nemirovski	PROPN
bracis-28405	281	26	,	,	PUNCT
bracis-28405	281	27	a.	a.	NOUN
bracis-28405	281	28	:	:	PUNCT
bracis-28405	281	29	robust	robust	ADJ
bracis-28405	281	30	optimization	optimization	NOUN
bracis-28405	281	31	,	,	PUNCT
bracis-28405	281	32	vol	vol	NOUN
bracis-28405	281	33	.	.	PUNCT
bracis-28405	282	1	28	28	NUM
bracis-28405	282	2	.	.	PUNCT
bracis-28405	282	3	princeton	princeton	PROPN
bracis-28405	282	4	university	university	PROPN
bracis-28405	282	5	press	press	NOUN
bracis-28405	282	6	,	,	PUNCT
bracis-28405	282	7	princeton	princeton	PROPN
bracis-28405	282	8	(	(	PUNCT
bracis-28405	282	9	2009	2009	NUM
bracis-28405	282	10	)	)	PUNCT
bracis-28405	282	11	google	google	PROPN
bracis-28405	282	12	scholar	scholar	NOUN
bracis-28405	282	13	  	  	SPACE
bracis-28405	282	14	ben	ben	PROPN
bracis-28405	282	15	-	-	PROPN
bracis-28405	282	16	tal	tal	PROPN
bracis-28405	282	17	,	,	PUNCT
bracis-28405	282	18	a.	a.	PROPN
bracis-28405	282	19	,	,	PUNCT
bracis-28405	283	1	el	el	PROPN
bracis-28405	283	2	ghaoui	ghaoui	PROPN
bracis-28405	283	3	,	,	PUNCT
bracis-28405	283	4	l.	l.	PROPN
bracis-28405	283	5	,	,	PUNCT
bracis-28405	283	6	nemirovski	nemirovski	PROPN
bracis-28405	283	7	,	,	PUNCT
bracis-28405	283	8	a.	a.	NOUN
bracis-28405	283	9	:	:	PUNCT
bracis-28405	283	10	robust	robust	ADJ
bracis-28405	283	11	optimization	optimization	NOUN
bracis-28405	283	12	in	in	ADP
bracis-28405	283	13	applied	apply	VERB
bracis-28405	283	14	mathematics	mathematic	NOUN
bracis-28405	283	15	.	.	PUNCT
bracis-28405	284	1	princeton	princeton	PROPN
bracis-28405	284	2	series	series	PROPN
bracis-28405	284	3	,	,	PUNCT
bracis-28405	284	4	princeton	princeton	PROPN
bracis-28405	284	5	(	(	PUNCT
bracis-28405	284	6	2009	2009	NUM
bracis-28405	284	7	)	)	PUNCT
bracis-28405	284	8	book	book	NOUN
bracis-28405	284	9	  	  	SPACE
bracis-28405	284	10	math	math	NOUN
bracis-28405	284	11	  	  	SPACE
bracis-28405	284	12	google	google	PROPN
bracis-28405	284	13	scholar	scholar	NOUN
bracis-28405	284	14	  	  	SPACE
bracis-28405	284	15	beyer	beyer	PROPN
bracis-28405	284	16	,	,	PUNCT
bracis-28405	284	17	h.g	h.g	PROPN
bracis-28405	284	18	.	.	PROPN
bracis-28405	284	19	,	,	PUNCT
bracis-28405	284	20	sendhoff	sendhoff	NOUN
bracis-28405	284	21	,	,	PUNCT
bracis-28405	284	22	b.	b.	NOUN
bracis-28405	284	23	:	:	PUNCT
bracis-28405	284	24	robust	robust	ADJ
bracis-28405	284	25	optimization	optimization	NOUN
bracis-28405	284	26	–	–	PUNCT
bracis-28405	284	27	a	a	DET
bracis-28405	284	28	comprehensive	comprehensive	ADJ
bracis-28405	284	29	survey	survey	NOUN
bracis-28405	284	30	.	.	PUNCT
bracis-28405	285	1	comput	comput	NOUN
bracis-28405	285	2	.	.	PUNCT
bracis-28405	286	1	methods	method	NOUN
bracis-28405	286	2	appl	appl	PROPN
bracis-28405	286	3	.	.	PROPN
bracis-28405	286	4	mech	mech	PROPN
bracis-28405	286	5	.	.	PUNCT
bracis-28405	287	1	eng	eng	PROPN
bracis-28405	287	2	.	.	PUNCT
bracis-28405	288	1	196(33	196(33	NUM
bracis-28405	288	2	)	)	PUNCT
bracis-28405	288	3	,	,	PUNCT
bracis-28405	288	4	3190–3218	3190–3218	NUM
bracis-28405	288	5	(	(	PUNCT
bracis-28405	288	6	2007	2007	NUM
bracis-28405	288	7	)	)	PUNCT
bracis-28405	288	8	.	.	PUNCT
bracis-28405	289	1	https://doi.org/10.1016/j.cma.2007.03.003	https://doi.org/10.1016/j.cma.2007.03.003	PROPN
bracis-28405	289	2	article	article	NOUN
bracis-28405	289	3	  	  	SPACE
bracis-28405	289	4	mathscinet	mathscinet	NOUN
bracis-28405	289	5	  	  	SPACE
bracis-28405	289	6	math	math	NOUN
bracis-28405	289	7	  	  	SPACE
bracis-28405	289	8	google	google	PROPN
bracis-28405	289	9	scholar	scholar	NOUN
bracis-28405	289	10	  	  	SPACE
bracis-28405	289	11	deb	deb	PROPN
bracis-28405	289	12	,	,	PUNCT
bracis-28405	289	13	k.	k.	PROPN
bracis-28405	289	14	,	,	PUNCT
bracis-28405	289	15	pratap	pratap	PROPN
bracis-28405	289	16	,	,	PUNCT
bracis-28405	289	17	a.	a.	PROPN
bracis-28405	289	18	,	,	PUNCT
bracis-28405	289	19	agarwal	agarwal	PROPN
bracis-28405	289	20	,	,	PUNCT
bracis-28405	289	21	s.	s.	PROPN
bracis-28405	289	22	,	,	PUNCT
bracis-28405	289	23	meyarivan	meyarivan	NOUN
bracis-28405	289	24	,	,	PUNCT
bracis-28405	289	25	t.	t.	PROPN
bracis-28405	289	26	:	:	PUNCT
bracis-28405	289	27	a	a	DET
bracis-28405	289	28	fast	fast	ADJ
bracis-28405	289	29	and	and	CCONJ
bracis-28405	289	30	elitist	elitist	ADJ
bracis-28405	289	31	multiobjective	multiobjective	ADJ
bracis-28405	289	32	genetic	genetic	ADJ
bracis-28405	289	33	algorithm	algorithm	NOUN
bracis-28405	289	34	:	:	PUNCT
bracis-28405	290	1	nsga	nsga	PROPN
bracis-28405	290	2	-	-	PUNCT
bracis-28405	290	3	ii	ii	PROPN
bracis-28405	290	4	.	.	PUNCT
bracis-28405	290	5	ieee	ieee	PROPN
bracis-28405	290	6	trans	trans	PROPN
bracis-28405	290	7	.	.	PUNCT
bracis-28405	290	8	evol	evol	NOUN
bracis-28405	290	9	.	.	PUNCT
bracis-28405	291	1	comput	comput	NOUN
bracis-28405	291	2	.	.	PUNCT
bracis-28405	292	1	6(2	6(2	NUM
bracis-28405	292	2	)	)	PUNCT
bracis-28405	292	3	,	,	PUNCT
bracis-28405	292	4	182–197	182–197	NUM
bracis-28405	292	5	(	(	PUNCT
bracis-28405	292	6	2002	2002	NUM
bracis-28405	292	7	)	)	PUNCT
bracis-28405	292	8	article	article	NOUN
bracis-28405	292	9	  	  	SPACE
bracis-28405	292	10	google	google	PROPN
bracis-28405	292	11	scholar	scholar	NOUN
bracis-28405	292	12	  	  	SPACE
bracis-28405	292	13	deb	deb	PROPN
bracis-28405	292	14	,	,	PUNCT
bracis-28405	292	15	k.	k.	PROPN
bracis-28405	292	16	,	,	PUNCT
bracis-28405	292	17	sindhya	sindhya	PROPN
bracis-28405	292	18	,	,	PUNCT
bracis-28405	292	19	k.	k.	PROPN
bracis-28405	292	20	,	,	PUNCT
bracis-28405	292	21	hakanen	hakanen	PROPN
bracis-28405	292	22	,	,	PUNCT
bracis-28405	292	23	j.	j.	PROPN
bracis-28405	292	24	:	:	PUNCT
bracis-28405	292	25	introducing	introduce	VERB
bracis-28405	292	26	robustness	robustness	NOUN
bracis-28405	292	27	in	in	ADP
bracis-28405	292	28	multi	multi	ADJ
bracis-28405	292	29	-	-	ADJ
bracis-28405	292	30	objective	objective	ADJ
bracis-28405	292	31	optimization	optimization	NOUN
bracis-28405	292	32	.	.	PUNCT
bracis-28405	293	1	evol	evol	NOUN
bracis-28405	293	2	.	.	PUNCT
bracis-28405	294	1	comput	comput	NOUN
bracis-28405	294	2	.	.	PUNCT
bracis-28405	295	1	14(4	14(4	NUM
bracis-28405	295	2	)	)	PUNCT
bracis-28405	295	3	,	,	PUNCT
bracis-28405	295	4	463–494	463–494	NUM
bracis-28405	295	5	(	(	PUNCT
bracis-28405	295	6	2006	2006	NUM
bracis-28405	295	7	)	)	PUNCT
bracis-28405	295	8	article	article	NOUN
bracis-28405	295	9	  	  	SPACE
bracis-28405	295	10	google	google	PROPN
bracis-28405	295	11	scholar	scholar	NOUN
bracis-28405	295	12	  	  	SPACE
bracis-28405	295	13	duan	duan	PROPN
bracis-28405	295	14	,	,	PUNCT
bracis-28405	295	15	j.	j.	PROPN
bracis-28405	295	16	,	,	PUNCT
bracis-28405	295	17	he	he	PRON
bracis-28405	295	18	,	,	PUNCT
bracis-28405	295	19	z.	z.	PROPN
bracis-28405	295	20	,	,	PUNCT
bracis-28405	295	21	yen	yen	NOUN
bracis-28405	295	22	,	,	PUNCT
bracis-28405	295	23	g.g	g.g	PROPN
bracis-28405	295	24	.	.	PUNCT
bracis-28405	295	25	:	:	PUNCT
bracis-28405	295	26	robust	robust	ADJ
bracis-28405	295	27	multiobjective	multiobjective	ADJ
bracis-28405	295	28	optimization	optimization	NOUN
bracis-28405	295	29	for	for	ADP
bracis-28405	295	30	vehicle	vehicle	NOUN
bracis-28405	295	31	routing	routing	NOUN
bracis-28405	295	32	problem	problem	NOUN
bracis-28405	295	33	with	with	ADP
bracis-28405	295	34	time	time	NOUN
bracis-28405	295	35	windows	window	NOUN
bracis-28405	295	36	.	.	PUNCT
bracis-28405	296	1	ieee	ieee	PROPN
bracis-28405	296	2	trans	trans	PROPN
bracis-28405	296	3	.	.	PUNCT
bracis-28405	297	1	cybern	cybern	PROPN
bracis-28405	297	2	.	.	PUNCT
bracis-28405	298	1	52(8	52(8	X
bracis-28405	298	2	)	)	PUNCT
bracis-28405	298	3	,	,	PUNCT
bracis-28405	298	4	8300–8314	8300–8314	NUM
bracis-28405	298	5	(	(	PUNCT
bracis-28405	298	6	2021	2021	NUM
bracis-28405	298	7	)	)	PUNCT
bracis-28405	298	8	article	article	NOUN
bracis-28405	298	9	  	  	SPACE
bracis-28405	298	10	google	google	PROPN
bracis-28405	298	11	scholar	scholar	NOUN
bracis-28405	298	12	  	  	SPACE
bracis-28405	298	13	finck	finck	NOUN
bracis-28405	298	14	,	,	PUNCT
bracis-28405	298	15	s.	s.	PROPN
bracis-28405	298	16	,	,	PUNCT
bracis-28405	298	17	hansen	hansen	PROPN
bracis-28405	298	18	,	,	PUNCT
bracis-28405	298	19	n.	n.	PROPN
bracis-28405	298	20	,	,	PUNCT
bracis-28405	298	21	ros	ros	PROPN
bracis-28405	298	22	,	,	PUNCT
bracis-28405	298	23	r.	r.	PROPN
bracis-28405	298	24	,	,	PUNCT
bracis-28405	298	25	auger	auger	NOUN
bracis-28405	298	26	,	,	PUNCT
bracis-28405	298	27	a.	a.	NOUN
bracis-28405	298	28	:	:	PUNCT
bracis-28405	299	1	real	real	ADJ
bracis-28405	299	2	-	-	PUNCT
bracis-28405	299	3	parameter	parameter	NOUN
bracis-28405	299	4	black	black	ADJ
bracis-28405	299	5	-	-	PUNCT
bracis-28405	299	6	box	box	NOUN
bracis-28405	299	7	optimization	optimization	NOUN
bracis-28405	299	8	benchmarking	benchmarke	VERB
bracis-28405	299	9	2010	2010	NUM
bracis-28405	299	10	:	:	PUNCT
bracis-28405	299	11	presentation	presentation	NOUN
bracis-28405	299	12	of	of	ADP
bracis-28405	299	13	the	the	DET
bracis-28405	299	14	noisy	noisy	ADJ
bracis-28405	299	15	functions	function	NOUN
bracis-28405	299	16	.	.	PUNCT
bracis-28405	300	1	technical	technical	ADJ
bracis-28405	300	2	report	report	NOUN
bracis-28405	300	3	.	.	PUNCT
bracis-28405	301	1	citeseer	citeseer	NOUN
bracis-28405	301	2	(	(	PUNCT
bracis-28405	301	3	2010	2010	NUM
bracis-28405	301	4	)	)	PUNCT
bracis-28405	301	5	google	google	PROPN
bracis-28405	301	6	scholar	scholar	NOUN
bracis-28405	301	7	  	  	SPACE
bracis-28405	301	8	gaspar	gaspar	NOUN
bracis-28405	301	9	-	-	PUNCT
bracis-28405	301	10	cunha	cunha	NOUN
bracis-28405	301	11	,	,	PUNCT
bracis-28405	301	12	a.	a.	NOUN
bracis-28405	301	13	,	,	PUNCT
bracis-28405	301	14	covas	covas	PROPN
bracis-28405	301	15	,	,	PUNCT
bracis-28405	301	16	j.a	j.a	PROPN
bracis-28405	301	17	.	.	PROPN
bracis-28405	301	18	:	:	PUNCT
bracis-28405	302	1	robustness	robustness	NOUN
bracis-28405	302	2	in	in	ADP
bracis-28405	302	3	multi	multi	ADJ
bracis-28405	302	4	-	-	ADJ
bracis-28405	302	5	objective	objective	ADJ
bracis-28405	302	6	optimization	optimization	NOUN
bracis-28405	302	7	using	use	VERB
bracis-28405	302	8	evolutionary	evolutionary	ADJ
bracis-28405	302	9	algorithms	algorithm	NOUN
bracis-28405	302	10	.	.	PUNCT
bracis-28405	303	1	comput	comput	NOUN
bracis-28405	303	2	.	.	PUNCT
bracis-28405	304	1	optim	optim	PROPN
bracis-28405	304	2	.	.	PUNCT
bracis-28405	305	1	appl	appl	PROPN
bracis-28405	305	2	.	.	PROPN
bracis-28405	306	1	39(1	39(1	NUM
bracis-28405	306	2	)	)	PUNCT
bracis-28405	306	3	,	,	PUNCT
bracis-28405	306	4	75–96	75–96	NUM
bracis-28405	306	5	(	(	PUNCT
bracis-28405	306	6	2007	2007	NUM
bracis-28405	306	7	)	)	PUNCT
bracis-28405	306	8	.	.	PUNCT
bracis-28405	307	1	https://doi.org/10.1007/s10589-007-9053-9	https://doi.org/10.1007/s10589-007-9053-9	NUM
bracis-28405	307	2	article	article	NOUN
bracis-28405	307	3	  	  	SPACE
bracis-28405	307	4	mathscinet	mathscinet	NOUN
bracis-28405	307	5	  	  	SPACE
bracis-28405	307	6	math	math	NOUN
bracis-28405	307	7	  	  	SPACE
bracis-28405	307	8	google	google	PROPN
bracis-28405	307	9	scholar	scholar	NOUN
bracis-28405	307	10	  	  	SPACE
bracis-28405	307	11	goerigk	goerigk	NOUN
bracis-28405	307	12	,	,	PUNCT
bracis-28405	307	13	m.	m.	NOUN
bracis-28405	307	14	,	,	PUNCT
bracis-28405	307	15	schöbel	schöbel	NOUN
bracis-28405	307	16	,	,	PUNCT
bracis-28405	307	17	a.	a.	NOUN
bracis-28405	307	18	:	:	PUNCT
bracis-28405	307	19	algorithm	algorithm	PROPN
bracis-28405	307	20	engineering	engineering	NOUN
bracis-28405	307	21	in	in	ADP
bracis-28405	307	22	robust	robust	ADJ
bracis-28405	307	23	optimization	optimization	NOUN
bracis-28405	307	24	.	.	PUNCT
bracis-28405	308	1	springer	springer	NOUN
bracis-28405	308	2	,	,	PUNCT
bracis-28405	308	3	cham	cham	PROPN
bracis-28405	308	4	(	(	PUNCT
bracis-28405	308	5	2016	2016	NUM
bracis-28405	308	6	)	)	PUNCT
bracis-28405	308	7	.	.	PUNCT
bracis-28405	309	1	https://doi.org/10.1007/978-3-319-49487-6_8	https://doi.org/10.1007/978-3-319-49487-6_8	PUNCT
bracis-28405	309	2	book	book	NOUN
bracis-28405	309	3	  	  	SPACE
bracis-28405	309	4	math	math	NOUN
bracis-28405	309	5	  	  	SPACE
bracis-28405	309	6	google	google	PROPN
bracis-28405	309	7	scholar	scholar	NOUN
bracis-28405	309	8	  	  	SPACE
bracis-28405	309	9	gorissen	gorissen	PROPN
bracis-28405	309	10	,	,	PUNCT
bracis-28405	309	11	b.l	b.l	PROPN
bracis-28405	309	12	.	.	PROPN
bracis-28405	309	13	,	,	PUNCT
bracis-28405	309	14	yanıkoğlu	yanıkoğlu	PROPN
bracis-28405	309	15	,	,	PUNCT
bracis-28405	309	16	i̇	i̇	PROPN
bracis-28405	309	17	,	,	PUNCT
bracis-28405	309	18	den	den	NOUN
bracis-28405	309	19	hertog	hertog	PROPN
bracis-28405	309	20	,	,	PUNCT
bracis-28405	309	21	d.	d.	PROPN
bracis-28405	309	22	:	:	PUNCT
bracis-28405	309	23	a	a	DET
bracis-28405	309	24	practical	practical	ADJ
bracis-28405	309	25	guide	guide	NOUN
bracis-28405	309	26	to	to	ADP
bracis-28405	309	27	robust	robust	ADJ
bracis-28405	309	28	optimization	optimization	NOUN
bracis-28405	309	29	.	.	PUNCT
bracis-28405	310	1	omega	omega	NOUN
bracis-28405	310	2	53	53	NUM
bracis-28405	310	3	,	,	PUNCT
bracis-28405	310	4	124–137	124–137	NUM
bracis-28405	310	5	(	(	PUNCT
bracis-28405	310	6	2015	2015	NUM
bracis-28405	310	7	)	)	PUNCT
bracis-28405	310	8	.	.	PUNCT
bracis-28405	311	1	https://doi.org/10.1016/j.omega.2014.12.006	https://doi.org/10.1016/j.omega.2014.12.006	PROPN
bracis-28405	311	2	article	article	NOUN
bracis-28405	311	3	  	  	SPACE
bracis-28405	311	4	google	google	PROPN
bracis-28405	311	5	scholar	scholar	NOUN
bracis-28405	311	6	  	  	SPACE
bracis-28405	311	7	häse	häse	NOUN
bracis-28405	311	8	,	,	PUNCT
bracis-28405	311	9	f.	f.	PROPN
bracis-28405	311	10	,	,	PUNCT
bracis-28405	311	11	et	et	PROPN
bracis-28405	311	12	al	al	PROPN
bracis-28405	311	13	.	.	PROPN
bracis-28405	311	14	:	:	PUNCT
bracis-28405	312	1	olympus	olympus	PROPN
bracis-28405	312	2	:	:	PUNCT
bracis-28405	312	3	a	a	DET
bracis-28405	312	4	benchmarking	benchmarke	VERB
bracis-28405	312	5	framework	framework	NOUN
bracis-28405	312	6	for	for	ADP
bracis-28405	312	7	noisy	noisy	ADJ
bracis-28405	312	8	optimization	optimization	NOUN
bracis-28405	312	9	and	and	CCONJ
bracis-28405	312	10	experiment	experiment	NOUN
bracis-28405	312	11	planning	planning	NOUN
bracis-28405	312	12	.	.	PUNCT
bracis-28405	313	1	mach	mach	NOUN
bracis-28405	313	2	.	.	PUNCT
bracis-28405	314	1	learn	learn	VERB
bracis-28405	314	2	.	.	PUNCT
bracis-28405	315	1	sci	sci	PROPN
bracis-28405	315	2	.	.	PROPN
bracis-28405	315	3	technol	technol	PROPN
bracis-28405	315	4	.	.	PUNCT
bracis-28405	315	5	2(3	2(3	NUM
bracis-28405	315	6	)	)	PUNCT
bracis-28405	315	7	,	,	PUNCT
bracis-28405	315	8	035021	035021	NUM
bracis-28405	315	9	(	(	PUNCT
bracis-28405	315	10	2021	2021	NUM
bracis-28405	315	11	)	)	PUNCT
bracis-28405	315	12	article	article	NOUN
bracis-28405	315	13	  	  	SPACE
bracis-28405	315	14	google	google	PROPN
bracis-28405	315	15	scholar	scholar	NOUN
bracis-28405	315	16	  	  	SPACE
bracis-28405	315	17	jin	jin	NOUN
bracis-28405	315	18	,	,	PUNCT
bracis-28405	315	19	y.	y.	PROPN
bracis-28405	315	20	,	,	PUNCT
bracis-28405	315	21	branke	branke	PROPN
bracis-28405	315	22	,	,	PUNCT
bracis-28405	315	23	j.	j.	PROPN
bracis-28405	315	24	:	:	PUNCT
bracis-28405	315	25	evolutionary	evolutionary	ADJ
bracis-28405	315	26	optimization	optimization	NOUN
bracis-28405	315	27	in	in	ADP
bracis-28405	315	28	uncertain	uncertain	ADJ
bracis-28405	315	29	environments	environment	NOUN
bracis-28405	315	30	–	–	PUNCT
bracis-28405	315	31	a	a	DET
bracis-28405	315	32	survey	survey	NOUN
bracis-28405	315	33	.	.	PUNCT
bracis-28405	316	1	trans	trans	PROPN
bracis-28405	316	2	.	.	PUNCT
bracis-28405	316	3	evol	evol	NOUN
bracis-28405	316	4	.	.	PUNCT
bracis-28405	317	1	comput	comput	NOUN
bracis-28405	317	2	.	.	PUNCT
bracis-28405	318	1	9(3	9(3	NUM
bracis-28405	318	2	)	)	PUNCT
bracis-28405	318	3	,	,	PUNCT
bracis-28405	318	4	303–317	303–317	NUM
bracis-28405	318	5	(	(	PUNCT
bracis-28405	318	6	2005	2005	NUM
bracis-28405	318	7	)	)	PUNCT
bracis-28405	318	8	article	article	NOUN
bracis-28405	318	9	  	  	SPACE
bracis-28405	318	10	google	google	PROPN
bracis-28405	318	11	scholar	scholar	NOUN
bracis-28405	318	12	  	  	SPACE
bracis-28405	318	13	klir	klir	NOUN
bracis-28405	318	14	,	,	PUNCT
bracis-28405	318	15	g.j	g.j	PROPN
bracis-28405	318	16	.	.	PROPN
bracis-28405	318	17	,	,	PUNCT
bracis-28405	318	18	folger	folger	PROPN
bracis-28405	318	19	,	,	PUNCT
bracis-28405	318	20	t.a	t.a	PROPN
bracis-28405	318	21	.	.	PROPN
bracis-28405	318	22	:	:	PUNCT
bracis-28405	319	1	fuzzy	fuzzy	ADJ
bracis-28405	319	2	sets	set	NOUN
bracis-28405	319	3	,	,	PUNCT
bracis-28405	319	4	uncertainty	uncertainty	NOUN
bracis-28405	319	5	,	,	PUNCT
bracis-28405	319	6	and	and	CCONJ
bracis-28405	319	7	information	information	NOUN
bracis-28405	319	8	.	.	PUNCT
bracis-28405	320	1	prentice	prentice	NOUN
bracis-28405	320	2	-	-	PUNCT
bracis-28405	320	3	hall	hall	PROPN
bracis-28405	320	4	,	,	PUNCT
bracis-28405	320	5	englewood	englewood	PROPN
bracis-28405	320	6	cliffs	cliffs	PROPN
bracis-28405	320	7	(	(	PUNCT
bracis-28405	320	8	1998	1998	NUM
bracis-28405	320	9	)	)	PUNCT
bracis-28405	320	10	math	math	NOUN
bracis-28405	320	11	  	  	SPACE
bracis-28405	320	12	google	google	PROPN
bracis-28405	320	13	scholar	scholar	NOUN
bracis-28405	320	14	  	  	SPACE
bracis-28405	320	15	liu	liu	PROPN
bracis-28405	320	16	,	,	PUNCT
bracis-28405	320	17	j.	j.	PROPN
bracis-28405	320	18	,	,	PUNCT
bracis-28405	320	19	liu	liu	PROPN
bracis-28405	320	20	,	,	PUNCT
bracis-28405	320	21	y.	y.	PROPN
bracis-28405	320	22	,	,	PUNCT
bracis-28405	320	23	jin	jin	NOUN
bracis-28405	320	24	,	,	PUNCT
bracis-28405	320	25	y.	y.	PROPN
bracis-28405	320	26	,	,	PUNCT
bracis-28405	320	27	li	li	PROPN
bracis-28405	320	28	,	,	PUNCT
bracis-28405	320	29	f.	f.	PROPN
bracis-28405	320	30	:	:	PUNCT
bracis-28405	320	31	a	a	DET
bracis-28405	320	32	decision	decision	NOUN
bracis-28405	320	33	variable	variable	ADJ
bracis-28405	320	34	assortment	assortment	NOUN
bracis-28405	320	35	-	-	PUNCT
bracis-28405	320	36	based	base	VERB
bracis-28405	320	37	evolutionary	evolutionary	ADJ
bracis-28405	320	38	algorithm	algorithm	NOUN
bracis-28405	320	39	for	for	ADP
bracis-28405	320	40	dominance	dominance	NOUN
bracis-28405	320	41	robust	robust	ADJ
bracis-28405	320	42	multiobjective	multiobjective	ADJ
bracis-28405	320	43	optimization	optimization	NOUN
bracis-28405	320	44	.	.	PUNCT
bracis-28405	321	1	ieee	ieee	PROPN
bracis-28405	321	2	trans	trans	PROPN
bracis-28405	321	3	.	.	PUNCT
bracis-28405	322	1	syst	syst	PROPN
bracis-28405	322	2	.	.	PUNCT
bracis-28405	323	1	man	man	PROPN
bracis-28405	323	2	cybern	cybern	PROPN
bracis-28405	323	3	.	.	PUNCT
bracis-28405	324	1	syst	syst	PROPN
bracis-28405	324	2	.	.	PUNCT
bracis-28405	325	1	52(5	52(5	NUM
bracis-28405	325	2	)	)	PUNCT
bracis-28405	325	3	,	,	PUNCT
bracis-28405	325	4	3360–3375	3360–3375	NUM
bracis-28405	325	5	(	(	PUNCT
bracis-28405	325	6	2021	2021	NUM
bracis-28405	325	7	)	)	PUNCT
bracis-28405	325	8	article	article	NOUN
bracis-28405	325	9	  	  	SPACE
bracis-28405	325	10	google	google	PROPN
bracis-28405	325	11	scholar	scholar	NOUN
bracis-28405	325	12	  	  	SPACE
bracis-28405	325	13	liu	liu	PROPN
bracis-28405	325	14	,	,	PUNCT
bracis-28405	325	15	r.	r.	PROPN
bracis-28405	325	16	,	,	PUNCT
bracis-28405	325	17	li	li	PROPN
bracis-28405	325	18	,	,	PUNCT
bracis-28405	325	19	y.	y.	PROPN
bracis-28405	325	20	,	,	PUNCT
bracis-28405	325	21	wang	wang	PROPN
bracis-28405	325	22	,	,	PUNCT
bracis-28405	325	23	h.	h.	PROPN
bracis-28405	325	24	,	,	PUNCT
bracis-28405	325	25	liu	liu	PROPN
bracis-28405	325	26	,	,	PUNCT
bracis-28405	325	27	j.	j.	PROPN
bracis-28405	325	28	:	:	PUNCT
bracis-28405	325	29	a	a	DET
bracis-28405	325	30	noisy	noisy	ADJ
bracis-28405	325	31	multi	multi	ADJ
bracis-28405	325	32	-	-	ADJ
bracis-28405	325	33	objective	objective	ADJ
bracis-28405	325	34	optimization	optimization	NOUN
bracis-28405	325	35	algorithm	algorithm	NOUN
bracis-28405	325	36	based	base	VERB
bracis-28405	325	37	on	on	ADP
bracis-28405	325	38	mean	mean	NOUN
bracis-28405	325	39	and	and	CCONJ
bracis-28405	325	40	wiener	wiener	NOUN
bracis-28405	325	41	filters	filter	NOUN
bracis-28405	325	42	.	.	PUNCT
bracis-28405	326	1	knowl.-based	knowl.-based	PROPN
bracis-28405	326	2	syst	syst	PROPN
bracis-28405	326	3	.	.	PUNCT
bracis-28405	327	1	228	228	NUM
bracis-28405	327	2	,	,	PUNCT
bracis-28405	327	3	107215	107215	NUM
bracis-28405	327	4	(	(	PUNCT
bracis-28405	327	5	2021	2021	NUM
bracis-28405	327	6	)	)	PUNCT
bracis-28405	327	7	article	article	NOUN
bracis-28405	327	8	  	  	SPACE
bracis-28405	327	9	google	google	PROPN
bracis-28405	327	10	scholar	scholar	NOUN
bracis-28405	327	11	  	  	SPACE
bracis-28405	327	12	lu	lu	PROPN
bracis-28405	327	13	,	,	PUNCT
bracis-28405	327	14	y.	y.	PROPN
bracis-28405	327	15	,	,	PUNCT
bracis-28405	327	16	xu	xu	PROPN
bracis-28405	327	17	,	,	PUNCT
bracis-28405	327	18	y.	y.	PROPN
bracis-28405	327	19	,	,	PUNCT
bracis-28405	327	20	herrera	herrera	NOUN
bracis-28405	327	21	-	-	PUNCT
bracis-28405	327	22	viedma	viedma	NOUN
bracis-28405	327	23	,	,	PUNCT
bracis-28405	327	24	e.	e.	PROPN
bracis-28405	327	25	,	,	PUNCT
bracis-28405	327	26	han	han	PROPN
bracis-28405	327	27	,	,	PUNCT
bracis-28405	327	28	y.	y.	NOUN
bracis-28405	327	29	:	:	PUNCT
bracis-28405	328	1	consensus	consensus	NOUN
bracis-28405	328	2	of	of	ADP
bracis-28405	328	3	large	large	ADJ
bracis-28405	328	4	-	-	PUNCT
bracis-28405	328	5	scale	scale	NOUN
bracis-28405	328	6	group	group	NOUN
bracis-28405	328	7	decision	decision	NOUN
bracis-28405	328	8	making	make	VERB
bracis-28405	328	9	in	in	ADP
bracis-28405	328	10	social	social	ADJ
bracis-28405	328	11	network	network	NOUN
bracis-28405	328	12	:	:	PUNCT
bracis-28405	328	13	the	the	DET
bracis-28405	328	14	minimum	minimum	ADJ
bracis-28405	328	15	cost	cost	NOUN
bracis-28405	328	16	model	model	NOUN
bracis-28405	328	17	based	base	VERB
bracis-28405	328	18	on	on	ADP
bracis-28405	328	19	robust	robust	ADJ
bracis-28405	328	20	optimization	optimization	NOUN
bracis-28405	328	21	.	.	PUNCT
bracis-28405	329	1	inf	inf	PROPN
bracis-28405	329	2	.	.	PUNCT
bracis-28405	330	1	sci	sci	PROPN
bracis-28405	330	2	.	.	PROPN
bracis-28405	330	3	547	547	NUM
bracis-28405	330	4	,	,	PUNCT
bracis-28405	330	5	910–930	910–930	NUM
bracis-28405	330	6	(	(	PUNCT
bracis-28405	330	7	2021	2021	NUM
bracis-28405	330	8	)	)	PUNCT
bracis-28405	330	9	article	article	NOUN
bracis-28405	330	10	  	  	SPACE
bracis-28405	330	11	mathscinet	mathscinet	NOUN
bracis-28405	330	12	  	  	SPACE
bracis-28405	330	13	math	math	NOUN
bracis-28405	330	14	  	  	SPACE
bracis-28405	330	15	google	google	PROPN
bracis-28405	330	16	scholar	scholar	NOUN
bracis-28405	330	17	  	  	SPACE
bracis-28405	330	18	meneghini	meneghini	ADJ
bracis-28405	330	19	,	,	PUNCT
bracis-28405	330	20	i.r	i.r	PROPN
bracis-28405	330	21	.	.	PROPN
bracis-28405	330	22	,	,	PUNCT
bracis-28405	330	23	alves	alves	PROPN
bracis-28405	330	24	,	,	PUNCT
bracis-28405	330	25	m.a	m.a	PROPN
bracis-28405	330	26	.	.	PROPN
bracis-28405	330	27	,	,	PUNCT
bracis-28405	330	28	gaspar	gaspar	PROPN
bracis-28405	330	29	-	-	PUNCT
bracis-28405	330	30	cunha	cunha	NOUN
bracis-28405	330	31	,	,	PUNCT
bracis-28405	330	32	a.	a.	PROPN
bracis-28405	330	33	,	,	PUNCT
bracis-28405	330	34	guimaraes	guimaraes	PROPN
bracis-28405	330	35	,	,	PUNCT
bracis-28405	330	36	f.g	f.g	PROPN
bracis-28405	330	37	.	.	PROPN
bracis-28405	330	38	:	:	PUNCT
bracis-28405	330	39	scalable	scalable	ADJ
bracis-28405	330	40	and	and	CCONJ
bracis-28405	330	41	customizable	customizable	ADJ
bracis-28405	330	42	benchmark	benchmark	NOUN
bracis-28405	330	43	problems	problem	NOUN
bracis-28405	330	44	for	for	ADP
bracis-28405	330	45	many	many	ADJ
bracis-28405	330	46	-	-	PUNCT
bracis-28405	330	47	objective	objective	ADJ
bracis-28405	330	48	optimization	optimization	NOUN
bracis-28405	330	49	.	.	PUNCT
bracis-28405	331	1	appl	appl	PROPN
bracis-28405	331	2	.	.	PUNCT
bracis-28405	331	3	soft	soft	ADJ
bracis-28405	331	4	comput	comput	NOUN
bracis-28405	331	5	.	.	PUNCT
bracis-28405	332	1	90	90	NUM
bracis-28405	332	2	,	,	PUNCT
bracis-28405	332	3	106139	106139	NUM
bracis-28405	332	4	(	(	PUNCT
bracis-28405	332	5	2020	2020	NUM
bracis-28405	332	6	)	)	PUNCT
bracis-28405	332	7	article	article	NOUN
bracis-28405	332	8	  	  	SPACE
bracis-28405	332	9	google	google	PROPN
bracis-28405	332	10	scholar	scholar	NOUN
bracis-28405	332	11	  	  	SPACE
bracis-28405	332	12	meneghini	meneghini	ADJ
bracis-28405	332	13	,	,	PUNCT
bracis-28405	332	14	i.r	i.r	PROPN
bracis-28405	332	15	.	.	PROPN
bracis-28405	332	16	,	,	PUNCT
bracis-28405	332	17	guimaraes	guimaraes	PROPN
bracis-28405	332	18	,	,	PUNCT
bracis-28405	332	19	f.g	f.g	PROPN
bracis-28405	332	20	.	.	PROPN
bracis-28405	332	21	,	,	PUNCT
bracis-28405	332	22	gaspar	gaspar	PROPN
bracis-28405	332	23	-	-	PUNCT
bracis-28405	332	24	cunha	cunha	NOUN
bracis-28405	332	25	,	,	PUNCT
bracis-28405	332	26	a.	a.	NOUN
bracis-28405	332	27	:	:	PUNCT
bracis-28405	332	28	competitive	competitive	ADJ
bracis-28405	332	29	coevolutionary	coevolutionary	ADJ
bracis-28405	332	30	algorithm	algorithm	NOUN
bracis-28405	332	31	for	for	ADP
bracis-28405	332	32	robust	robust	ADJ
bracis-28405	332	33	multi	multi	ADJ
bracis-28405	332	34	-	-	ADJ
bracis-28405	332	35	objective	objective	ADJ
bracis-28405	332	36	optimization	optimization	NOUN
bracis-28405	332	37	:	:	PUNCT
bracis-28405	332	38	the	the	DET
bracis-28405	332	39	worst	bad	ADJ
bracis-28405	332	40	case	case	NOUN
bracis-28405	332	41	minimization	minimization	NOUN
bracis-28405	332	42	.	.	PUNCT
bracis-28405	333	1	in	in	ADP
bracis-28405	333	2	:	:	PUNCT
bracis-28405	333	3	ieee	ieee	PROPN
bracis-28405	333	4	congress	congress	PROPN
bracis-28405	333	5	on	on	ADP
bracis-28405	333	6	evolutionary	evolutionary	ADJ
bracis-28405	333	7	computation	computation	NOUN
bracis-28405	333	8	(	(	PUNCT
bracis-28405	333	9	cec	cec	PROPN
bracis-28405	333	10	)	)	PUNCT
bracis-28405	333	11	,	,	PUNCT
bracis-28405	333	12	pp	pp	ADJ
bracis-28405	333	13	.	.	PUNCT
bracis-28405	334	1	586–593	586–593	NUM
bracis-28405	334	2	(	(	PUNCT
bracis-28405	334	3	2016	2016	NUM
bracis-28405	334	4	)	)	PUNCT
bracis-28405	334	5	.	.	PUNCT
bracis-28405	335	1	https://doi.org/10.1109/cec.2016.7743846	https://doi.org/10.1109/cec.2016.7743846	PROPN
bracis-28405	335	2	mou	mou	PROPN
bracis-28405	335	3	,	,	PUNCT
bracis-28405	335	4	w.	w.	PROPN
bracis-28405	335	5	,	,	PUNCT
bracis-28405	335	6	wang	wang	PROPN
bracis-28405	335	7	,	,	PUNCT
bracis-28405	335	8	q.	q.	PROPN
bracis-28405	335	9	,	,	PUNCT
bracis-28405	335	10	peng	peng	PROPN
bracis-28405	335	11	,	,	PUNCT
bracis-28405	335	12	j.	j.	PROPN
bracis-28405	335	13	:	:	PUNCT
bracis-28405	335	14	accelerating	accelerate	VERB
bracis-28405	335	15	gradient	gradient	NOUN
bracis-28405	335	16	-	-	PUNCT
bracis-28405	335	17	based	base	VERB
bracis-28405	335	18	optimization	optimization	NOUN
bracis-28405	335	19	via	via	ADP
bracis-28405	335	20	importance	importance	NOUN
bracis-28405	335	21	sampling	sampling	NOUN
bracis-28405	335	22	.	.	PUNCT
bracis-28405	336	1	j.	j.	PROPN
bracis-28405	336	2	mach	mach	PROPN
bracis-28405	336	3	.	.	PUNCT
bracis-28405	337	1	learn	learn	VERB
bracis-28405	337	2	.	.	PUNCT
bracis-28405	338	1	res	re	NOUN
bracis-28405	338	2	.	.	PUNCT
bracis-28405	339	1	22(22	22(22	NUM
bracis-28405	339	2	)	)	PUNCT
bracis-28405	339	3	,	,	PUNCT
bracis-28405	339	4	1–29	1–29	PROPN
bracis-28405	339	5	(	(	PUNCT
bracis-28405	339	6	2021	2021	NUM
bracis-28405	339	7	)	)	PUNCT
bracis-28405	339	8	google	google	PROPN
bracis-28405	339	9	scholar	scholar	NOUN
bracis-28405	339	10	  	  	SPACE
bracis-28405	339	11	ong	ong	PROPN
bracis-28405	339	12	,	,	PUNCT
bracis-28405	339	13	y.s	y.s	PROPN
bracis-28405	339	14	.	.	PROPN
bracis-28405	339	15	,	,	PUNCT
bracis-28405	339	16	nair	nair	PROPN
bracis-28405	339	17	,	,	PUNCT
bracis-28405	339	18	p.b	p.b	PROPN
bracis-28405	339	19	.	.	PROPN
bracis-28405	339	20	,	,	PUNCT
bracis-28405	339	21	lum	lum	PROPN
bracis-28405	339	22	,	,	PUNCT
bracis-28405	339	23	k.y	k.y	PROPN
bracis-28405	339	24	.	.	PROPN
bracis-28405	339	25	:	:	PUNCT
bracis-28405	339	26	max	max	PROPN
bracis-28405	339	27	-	-	PUNCT
bracis-28405	339	28	min	min	NOUN
bracis-28405	339	29	surrogate	surrogate	NOUN
bracis-28405	339	30	-	-	PUNCT
bracis-28405	339	31	assisted	assist	VERB
bracis-28405	339	32	evolutionary	evolutionary	ADJ
bracis-28405	339	33	algorithm	algorithm	NOUN
bracis-28405	339	34	for	for	ADP
bracis-28405	339	35	robust	robust	ADJ
bracis-28405	339	36	design	design	NOUN
bracis-28405	339	37	.	.	PUNCT
bracis-28405	340	1	ieee	ieee	PROPN
bracis-28405	340	2	trans	trans	PROPN
bracis-28405	340	3	.	.	PUNCT
bracis-28405	341	1	evol	evol	NOUN
bracis-28405	341	2	.	.	PUNCT
bracis-28405	342	1	comput	comput	NOUN
bracis-28405	342	2	.	.	PUNCT
bracis-28405	343	1	10(4	10(4	X
bracis-28405	343	2	)	)	PUNCT
bracis-28405	343	3	,	,	PUNCT
bracis-28405	343	4	392–404	392–404	NUM
bracis-28405	343	5	(	(	PUNCT
bracis-28405	343	6	2006	2006	NUM
bracis-28405	343	7	)	)	PUNCT
bracis-28405	343	8	.	.	PUNCT
bracis-28405	344	1	https://doi.org/10.1109/tevc.2005.859464	https://doi.org/10.1109/tevc.2005.859464	PROPN
bracis-28405	344	2	article	article	NOUN
bracis-28405	344	3	  	  	SPACE
bracis-28405	344	4	google	google	PROPN
bracis-28405	344	5	scholar	scholar	NOUN
bracis-28405	344	6	  	  	SPACE
bracis-28405	344	7	sahmoud	sahmoud	NOUN
bracis-28405	344	8	,	,	PUNCT
bracis-28405	344	9	s.	s.	PROPN
bracis-28405	344	10	,	,	PUNCT
bracis-28405	344	11	topcuoglu	topcuoglu	PROPN
bracis-28405	344	12	,	,	PUNCT
bracis-28405	344	13	h.r	h.r	PROPN
bracis-28405	344	14	.	.	PROPN
bracis-28405	344	15	:	:	PUNCT
bracis-28405	344	16	dynamic	dynamic	ADJ
bracis-28405	344	17	multi	multi	ADJ
bracis-28405	344	18	-	-	ADJ
bracis-28405	344	19	objective	objective	ADJ
bracis-28405	344	20	evolutionary	evolutionary	ADJ
bracis-28405	344	21	algorithms	algorithm	NOUN
bracis-28405	344	22	in	in	ADP
bracis-28405	344	23	noisy	noisy	ADJ
bracis-28405	344	24	environments	environment	NOUN
bracis-28405	344	25	.	.	PUNCT
bracis-28405	345	1	inf	inf	PROPN
bracis-28405	345	2	.	.	PUNCT
bracis-28405	346	1	sci	sci	PROPN
bracis-28405	346	2	.	.	PROPN
bracis-28405	346	3	634	634	NUM
bracis-28405	346	4	,	,	PUNCT
bracis-28405	346	5	650–664	650–664	NUM
bracis-28405	346	6	(	(	PUNCT
bracis-28405	346	7	2023	2023	NUM
bracis-28405	346	8	)	)	PUNCT
bracis-28405	346	9	article	article	NOUN
bracis-28405	346	10	  	  	SPACE
bracis-28405	346	11	google	google	PROPN
bracis-28405	346	12	scholar	scholar	NOUN
bracis-28405	346	13	  	  	SPACE
bracis-28405	346	14	trivedi	trivedi	PROPN
bracis-28405	346	15	,	,	PUNCT
bracis-28405	346	16	a.	a.	NOUN
bracis-28405	346	17	,	,	PUNCT
bracis-28405	346	18	srinivasan	srinivasan	NOUN
bracis-28405	346	19	,	,	PUNCT
bracis-28405	346	20	d.	d.	PROPN
bracis-28405	346	21	,	,	PUNCT
bracis-28405	346	22	sanyal	sanyal	PROPN
bracis-28405	346	23	,	,	PUNCT
bracis-28405	346	24	k.	k.	PROPN
bracis-28405	346	25	,	,	PUNCT
bracis-28405	346	26	ghosh	ghosh	PROPN
bracis-28405	346	27	,	,	PUNCT
bracis-28405	346	28	a.	a.	NOUN
bracis-28405	346	29	:	:	PUNCT
bracis-28405	346	30	a	a	DET
bracis-28405	346	31	survey	survey	NOUN
bracis-28405	346	32	of	of	ADP
bracis-28405	346	33	multiobjective	multiobjective	ADJ
bracis-28405	346	34	evolutionary	evolutionary	ADJ
bracis-28405	346	35	algorithms	algorithm	NOUN
bracis-28405	346	36	based	base	VERB
bracis-28405	346	37	on	on	ADP
bracis-28405	346	38	decomposition	decomposition	NOUN
bracis-28405	346	39	.	.	PUNCT
bracis-28405	347	1	ieee	ieee	PROPN
bracis-28405	347	2	trans	trans	PROPN
bracis-28405	347	3	.	.	PUNCT
bracis-28405	348	1	evol	evol	NOUN
bracis-28405	348	2	.	.	PUNCT
bracis-28405	349	1	comput	comput	NOUN
bracis-28405	349	2	.	.	PUNCT
bracis-28405	350	1	21(3	21(3	NUM
bracis-28405	350	2	)	)	PUNCT
bracis-28405	350	3	,	,	PUNCT
bracis-28405	350	4	440–462	440–462	NUM
bracis-28405	350	5	(	(	PUNCT
bracis-28405	350	6	2016	2016	NUM
bracis-28405	350	7	)	)	PUNCT
bracis-28405	350	8	google	google	PROPN
bracis-28405	350	9	scholar	scholar	NOUN
bracis-28405	350	10	  	  	SPACE
bracis-28405	350	11	van	van	PROPN
bracis-28405	350	12	veldhuizen	veldhuizen	NOUN
bracis-28405	350	13	,	,	PUNCT
bracis-28405	350	14	d.a	d.a	PROPN
bracis-28405	350	15	.	.	PROPN
bracis-28405	350	16	,	,	PUNCT
bracis-28405	350	17	lamont	lamont	PROPN
bracis-28405	350	18	,	,	PUNCT
bracis-28405	350	19	g.b	g.b	PROPN
bracis-28405	350	20	.	.	PROPN
bracis-28405	350	21	:	:	PUNCT
bracis-28405	350	22	multiobjective	multiobjective	ADJ
bracis-28405	350	23	evolutionary	evolutionary	ADJ
bracis-28405	350	24	algorithm	algorithm	NOUN
bracis-28405	350	25	research	research	NOUN
bracis-28405	350	26	:	:	PUNCT
bracis-28405	350	27	a	a	DET
bracis-28405	350	28	history	history	NOUN
bracis-28405	350	29	and	and	CCONJ
bracis-28405	350	30	analysis	analysis	NOUN
bracis-28405	350	31	.	.	PUNCT
bracis-28405	351	1	technical	technical	ADJ
bracis-28405	351	2	report	report	NOUN
bracis-28405	351	3	.	.	PUNCT
bracis-28405	352	1	citeseer	citeseer	NOUN
bracis-28405	352	2	(	(	PUNCT
bracis-28405	352	3	1998	1998	NUM
bracis-28405	352	4	)	)	PUNCT
bracis-28405	352	5	google	google	PROPN
bracis-28405	352	6	scholar	scholar	PROPN
bracis-28405	352	7	  	  	SPACE
bracis-28405	352	8	yang	yang	PROPN
bracis-28405	352	9	,	,	PUNCT
bracis-28405	352	10	j.	j.	PROPN
bracis-28405	352	11	,	,	PUNCT
bracis-28405	352	12	su	su	PROPN
bracis-28405	352	13	,	,	PUNCT
bracis-28405	352	14	c.	c.	NOUN
bracis-28405	352	15	:	:	PUNCT
bracis-28405	352	16	robust	robust	ADJ
bracis-28405	352	17	optimization	optimization	NOUN
bracis-28405	352	18	of	of	ADP
bracis-28405	352	19	microgrid	microgrid	NOUN
bracis-28405	352	20	based	base	VERB
bracis-28405	352	21	on	on	ADP
bracis-28405	352	22	renewable	renewable	ADJ
bracis-28405	352	23	distributed	distribute	VERB
bracis-28405	352	24	power	power	NOUN
bracis-28405	352	25	generation	generation	NOUN
bracis-28405	352	26	and	and	CCONJ
bracis-28405	352	27	load	load	NOUN
bracis-28405	352	28	demand	demand	NOUN
bracis-28405	352	29	uncertainty	uncertainty	NOUN
bracis-28405	352	30	.	.	PUNCT
bracis-28405	353	1	energy	energy	NOUN
bracis-28405	353	2	223	223	NUM
bracis-28405	353	3	,	,	PUNCT
bracis-28405	353	4	120043	120043	NUM
bracis-28405	353	5	(	(	PUNCT
bracis-28405	353	6	2021	2021	NUM
bracis-28405	353	7	)	)	PUNCT
bracis-28405	353	8	article	article	NOUN
bracis-28405	353	9	  	  	SPACE
bracis-28405	353	10	google	google	PROPN
bracis-28405	353	11	scholar	scholar	NOUN
bracis-28405	353	12	  	  	SPACE
bracis-28405	353	13	yang	yang	PROPN
bracis-28405	353	14	,	,	PUNCT
bracis-28405	353	15	y.	y.	NOUN
bracis-28405	353	16	:	:	PUNCT
bracis-28405	353	17	robust	robust	ADJ
bracis-28405	353	18	multi	multi	ADJ
bracis-28405	353	19	-	-	ADJ
bracis-28405	353	20	objective	objective	ADJ
bracis-28405	353	21	optimization	optimization	NOUN
bracis-28405	353	22	based	base	VERB
bracis-28405	353	23	on	on	ADP
bracis-28405	353	24	the	the	DET
bracis-28405	353	25	idea	idea	NOUN
bracis-28405	353	26	of	of	ADP
bracis-28405	353	27	multi	multi	ADJ
bracis-28405	353	28	-	-	ADJ
bracis-28405	353	29	tasking	tasking	ADJ
bracis-28405	353	30	and	and	CCONJ
bracis-28405	353	31	knowledge	knowledge	NOUN
bracis-28405	353	32	transfer	transfer	NOUN
bracis-28405	353	33	.	.	PUNCT
bracis-28405	354	1	in	in	ADP
bracis-28405	354	2	:	:	PUNCT
bracis-28405	354	3	proceedings	proceeding	NOUN
bracis-28405	354	4	of	of	ADP
bracis-28405	354	5	the	the	DET
bracis-28405	354	6	14th	14th	ADJ
bracis-28405	354	7	international	international	ADJ
bracis-28405	354	8	conference	conference	NOUN
bracis-28405	354	9	on	on	ADP
bracis-28405	354	10	computer	computer	NOUN
bracis-28405	354	11	modeling	modeling	NOUN
bracis-28405	354	12	and	and	CCONJ
bracis-28405	354	13	simulation	simulation	NOUN
bracis-28405	354	14	,	,	PUNCT
bracis-28405	354	15	pp	pp	X
bracis-28405	354	16	.	.	PUNCT
bracis-28405	355	1	257–265	257–265	NUM
bracis-28405	355	2	(	(	PUNCT
bracis-28405	355	3	2022	2022	NUM
bracis-28405	355	4	)	)	PUNCT
bracis-28405	355	5	google	google	PROPN
bracis-28405	355	6	scholar	scholar	NOUN
bracis-28405	355	7	  	  	SPACE
bracis-28405	355	8	zhang	zhang	PROPN
bracis-28405	355	9	,	,	PUNCT
bracis-28405	355	10	q.	q.	PROPN
bracis-28405	355	11	,	,	PUNCT
bracis-28405	355	12	li	li	PROPN
bracis-28405	355	13	,	,	PUNCT
bracis-28405	355	14	h.	h.	NOUN
bracis-28405	355	15	:	:	PUNCT
bracis-28405	355	16	moea	moea	PROPN
bracis-28405	355	17	/	/	SYM
bracis-28405	356	1	d	d	NOUN
bracis-28405	356	2	:	:	PUNCT
bracis-28405	356	3	a	a	DET
bracis-28405	356	4	multiobjective	multiobjective	ADJ
bracis-28405	356	5	evolutionary	evolutionary	ADJ
bracis-28405	356	6	algorithm	algorithm	NOUN
bracis-28405	356	7	based	base	VERB
bracis-28405	356	8	on	on	ADP
bracis-28405	356	9	decomposition	decomposition	NOUN
bracis-28405	356	10	.	.	PUNCT
bracis-28405	357	1	ieee	ieee	PROPN
bracis-28405	357	2	trans	trans	PROPN
bracis-28405	357	3	.	.	PUNCT
bracis-28405	358	1	evol	evol	NOUN
bracis-28405	358	2	.	.	PUNCT
bracis-28405	359	1	comput	comput	NOUN
bracis-28405	359	2	.	.	PUNCT
bracis-28405	360	1	11(6	11(6	NUM
bracis-28405	360	2	)	)	PUNCT
bracis-28405	360	3	,	,	PUNCT
bracis-28405	360	4	712–731	712–731	NUM
bracis-28405	360	5	(	(	PUNCT
bracis-28405	360	6	2007	2007	NUM
bracis-28405	360	7	)	)	PUNCT
bracis-28405	360	8	article	article	NOUN
bracis-28405	360	9	  	  	SPACE
bracis-28405	360	10	google	google	PROPN
bracis-28405	360	11	scholar	scholar	NOUN
bracis-28405	360	12	  	  	SPACE
bracis-28405	360	13	download	download	NOUN
bracis-28405	360	14	references	reference	NOUN
bracis-28405	360	15	acknowledgment	acknowledgment	NOUN
bracis-28405	360	16	this	this	DET
bracis-28405	360	17	work	work	NOUN
bracis-28405	360	18	has	have	AUX
bracis-28405	360	19	been	be	AUX
bracis-28405	360	20	supported	support	VERB
bracis-28405	360	21	by	by	ADP
bracis-28405	360	22	the	the	DET
bracis-28405	360	23	brazilian	brazilian	ADJ
bracis-28405	360	24	agencies	agency	NOUN
bracis-28405	360	25	(	(	PUNCT
bracis-28405	360	26	i	i	NOUN
bracis-28405	360	27	)	)	PUNCT
bracis-28405	360	28	national	national	PROPN
bracis-28405	360	29	council	council	PROPN
bracis-28405	360	30	for	for	ADP
bracis-28405	360	31	scientific	scientific	ADJ
bracis-28405	360	32	and	and	CCONJ
bracis-28405	360	33	technological	technological	ADJ
bracis-28405	360	34	development	development	NOUN
bracis-28405	360	35	(	(	PUNCT
bracis-28405	360	36	cnpq	cnpq	NOUN
bracis-28405	360	37	)	)	PUNCT
bracis-28405	360	38	,	,	PUNCT
bracis-28405	360	39	grant	grant	VERB
bracis-28405	360	40	no	no	NOUN
bracis-28405	360	41	.	.	PUNCT
bracis-28405	361	1	312991/2020	312991/2020	NUM
bracis-28405	361	2	-	-	SYM
bracis-28405	361	3	7	7	NUM
bracis-28405	361	4	;	;	PUNCT
bracis-28405	361	5	(	(	PUNCT
bracis-28405	361	6	ii	ii	NOUN
bracis-28405	361	7	)	)	PUNCT
bracis-28405	361	8	coordination	coordination	NOUN
bracis-28405	361	9	for	for	ADP
bracis-28405	361	10	the	the	DET
bracis-28405	361	11	improvement	improvement	NOUN
bracis-28405	361	12	of	of	ADP
bracis-28405	361	13	higher	high	ADJ
bracis-28405	361	14	education	education	NOUN
bracis-28405	361	15	personnel	personnel	NOUN
bracis-28405	361	16	(	(	PUNCT
bracis-28405	361	17	capes	cape	NOUN
bracis-28405	361	18	)	)	PUNCT
bracis-28405	361	19	through	through	ADP
bracis-28405	361	20	the	the	DET
bracis-28405	361	21	academic	academic	PROPN
bracis-28405	361	22	excellence	excellence	PROPN
bracis-28405	361	23	program	program	NOUN
bracis-28405	361	24	(	(	PUNCT
bracis-28405	361	25	proex	proex	NOUN
bracis-28405	361	26	)	)	PUNCT
bracis-28405	361	27	and	and	CCONJ
bracis-28405	361	28	(	(	PUNCT
bracis-28405	361	29	iii	iii	X
bracis-28405	361	30	)	)	PUNCT
bracis-28405	361	31	foundation	foundation	NOUN
bracis-28405	361	32	for	for	ADP
bracis-28405	361	33	research	research	NOUN
bracis-28405	361	34	of	of	ADP
bracis-28405	361	35	the	the	DET
bracis-28405	361	36	state	state	NOUN
bracis-28405	361	37	of	of	ADP
bracis-28405	361	38	minas	minas	PROPN
bracis-28405	361	39	gerais	gerais	PROPN
bracis-28405	361	40	(	(	PUNCT
bracis-28405	361	41	fapemig	fapemig	PROPN
bracis-28405	361	42	,	,	PUNCT
bracis-28405	361	43	in	in	ADP
bracis-28405	361	44	portuguese	portuguese	PROPN
bracis-28405	361	45	)	)	PUNCT
bracis-28405	361	46	,	,	PUNCT
bracis-28405	361	47	grant	grant	VERB
bracis-28405	361	48	no	no	PRON
bracis-28405	361	49	.	.	PUNCT
bracis-28405	361	50	apq-01779	apq-01779	PROPN
bracis-28405	361	51	-	-	PUNCT
bracis-28405	361	52	21	21	NUM
bracis-28405	361	53	.	.	PUNCT
bracis-28405	362	1	minds	mind	NOUN
bracis-28405	362	2	laboratory	laboratory	NOUN
bracis-28405	362	3	–	–	PUNCT
bracis-28405	362	4	https://minds.eng.ufmg.br/	https://minds.eng.ufmg.br/	PROPN
bracis-28405	362	5	author	author	NOUN
bracis-28405	362	6	information	information	NOUN
bracis-28405	362	7	authors	author	NOUN
bracis-28405	362	8	and	and	CCONJ
bracis-28405	362	9	affiliations	affiliation	NOUN
bracis-28405	362	10	instituto	instituto	PROPN
bracis-28405	362	11	federal	federal	PROPN
bracis-28405	362	12	de	de	PROPN
bracis-28405	362	13	minas	minas	PROPN
bracis-28405	362	14	gerais	gerais	PROPN
bracis-28405	362	15	,	,	PUNCT
bracis-28405	362	16	bambuí	bambuí	NOUN
bracis-28405	362	17	,	,	PUNCT
bracis-28405	362	18	minas	minas	PROPN
bracis-28405	362	19	gerais	gerais	PROPN
bracis-28405	362	20	,	,	PUNCT
bracis-28405	362	21	brazil	brazil	PROPN
bracis-28405	362	22	mateus	mateus	PROPN
bracis-28405	362	23	clemente	clemente	PROPN
bracis-28405	362	24	de	de	PROPN
bracis-28405	362	25	sousa	sousa	PROPN
bracis-28405	362	26	instituto	instituto	PROPN
bracis-28405	362	27	federal	federal	PROPN
bracis-28405	362	28	de	de	PROPN
bracis-28405	362	29	minas	minas	PROPN
bracis-28405	362	30	gerais	gerais	PROPN
bracis-28405	362	31	,	,	PUNCT
bracis-28405	362	32	ibirité	ibirité	ADJ
bracis-28405	362	33	,	,	PUNCT
bracis-28405	362	34	minas	minas	PROPN
bracis-28405	362	35	gerais	gerais	PROPN
bracis-28405	362	36	,	,	PUNCT
bracis-28405	362	37	brazil	brazil	PROPN
bracis-28405	362	38	ivan	ivan	PROPN
bracis-28405	362	39	reinaldo	reinaldo	PROPN
bracis-28405	362	40	meneghini	meneghini	PROPN
bracis-28405	362	41	universidade	universidade	PROPN
bracis-28405	362	42	federal	federal	PROPN
bracis-28405	362	43	de	de	PROPN
bracis-28405	362	44	minas	minas	PROPN
bracis-28405	362	45	gerais	gerais	PROPN
bracis-28405	362	46	,	,	PUNCT
bracis-28405	362	47	belo	belo	PROPN
bracis-28405	362	48	horizonte	horizonte	PROPN
bracis-28405	362	49	,	,	PUNCT
bracis-28405	362	50	minas	minas	PROPN
bracis-28405	362	51	gerais	gerais	PROPN
bracis-28405	362	52	,	,	PUNCT
bracis-28405	362	53	brazil	brazil	PROPN
bracis-28405	362	54	frederico	frederico	PROPN
bracis-28405	362	55	gadelha	gadelha	VERB
bracis-28405	362	56	guimarães	guimarães	PROPN
bracis-28405	362	57	machine	machine	NOUN
bracis-28405	362	58	intelligence	intelligence	PROPN
bracis-28405	362	59	and	and	CCONJ
bracis-28405	362	60	data	datum	NOUN
bracis-28405	362	61	science	science	NOUN
bracis-28405	362	62	–	–	PUNCT
bracis-28405	362	63	minds	mind	VERB
bracis-28405	362	64	lab	lab	NOUN
bracis-28405	362	65	,	,	PUNCT
bracis-28405	362	66	universidade	universidade	PROPN
bracis-28405	362	67	federal	federal	PROPN
bracis-28405	362	68	de	de	PROPN
bracis-28405	362	69	minas	minas	PROPN
bracis-28405	362	70	gerais	gerais	PROPN
bracis-28405	362	71	,	,	PUNCT
bracis-28405	362	72	belo	belo	PROPN
bracis-28405	362	73	horizonte	horizonte	PROPN
bracis-28405	362	74	,	,	PUNCT
bracis-28405	362	75	brazil	brazil	PROPN
bracis-28405	362	76	mateus	mateus	PROPN
bracis-28405	362	77	clemente	clemente	PROPN
bracis-28405	362	78	de	de	PROPN
bracis-28405	362	79	sousa	sousa	PROPN
bracis-28405	362	80	,	,	PUNCT
bracis-28405	362	81	 	 	SPACE
bracis-28405	362	82	ivan	ivan	PROPN
bracis-28405	362	83	reinaldo	reinaldo	PROPN
bracis-28405	362	84	meneghini	meneghini	PROPN
bracis-28405	362	85	 	 	SPACE
bracis-28405	362	86	&	&	CCONJ
bracis-28405	362	87	 	 	SPACE
bracis-28405	362	88	frederico	frederico	PROPN
bracis-28405	362	89	gadelha	gadelha	NOUN
bracis-28405	362	90	guimarães	guimarães	PROPN
bracis-28405	362	91	authors	author	NOUN
bracis-28405	362	92	mateus	mateus	PROPN
bracis-28405	362	93	clemente	clemente	PROPN
bracis-28405	362	94	de	de	PROPN
bracis-28405	362	95	sousaview	sousaview	PROPN
bracis-28405	362	96	author	author	NOUN
bracis-28405	362	97	publications	publication	NOUN
bracis-28405	362	98	search	search	NOUN
bracis-28405	362	99	author	author	NOUN
bracis-28405	362	100	on	on	ADP
bracis-28405	362	101	:	:	PUNCT
bracis-28405	362	102	pubmed	pubmed	PROPN
bracis-28405	362	103	 	 	SPACE
bracis-28405	362	104	google	google	PROPN
bracis-28405	362	105	scholar	scholar	PROPN
bracis-28405	362	106	ivan	ivan	PROPN
bracis-28405	362	107	reinaldo	reinaldo	PROPN
bracis-28405	362	108	meneghiniview	meneghiniview	PROPN
bracis-28405	362	109	author	author	NOUN
bracis-28405	362	110	publications	publication	NOUN
bracis-28405	362	111	search	search	NOUN
bracis-28405	362	112	author	author	NOUN
bracis-28405	362	113	on	on	ADP
bracis-28405	362	114	:	:	PUNCT
bracis-28405	362	115	pubmed	pubmed	PROPN
bracis-28405	362	116	 	 	SPACE
bracis-28405	362	117	google	google	PROPN
bracis-28405	362	118	scholar	scholar	PROPN
bracis-28405	362	119	frederico	frederico	PROPN
bracis-28405	362	120	gadelha	gadelha	NOUN
bracis-28405	362	121	guimarãesview	guimarãesview	VERB
bracis-28405	362	122	author	author	NOUN
bracis-28405	362	123	publications	publication	NOUN
bracis-28405	362	124	search	search	NOUN
bracis-28405	362	125	author	author	NOUN
bracis-28405	362	126	on	on	ADP
bracis-28405	362	127	:	:	PUNCT
bracis-28405	362	128	pubmed	pubmed	PROPN
bracis-28405	362	129	 	 	SPACE
bracis-28405	362	130	google	google	PROPN
bracis-28405	362	131	scholar	scholar	NOUN
bracis-28405	362	132	corresponding	correspond	VERB
bracis-28405	362	133	author	author	NOUN
bracis-28405	362	134	correspondence	correspondence	NOUN
bracis-28405	362	135	to	to	ADP
bracis-28405	362	136	mateus	mateus	PROPN
bracis-28405	362	137	clemente	clemente	PROPN
bracis-28405	362	138	de	de	PROPN
bracis-28405	362	139	sousa	sousa	PROPN
bracis-28405	362	140	.	.	PUNCT
bracis-28405	363	1	editor	editor	NOUN
bracis-28405	363	2	information	information	NOUN
bracis-28405	363	3	editors	editor	NOUN
bracis-28405	363	4	and	and	CCONJ
bracis-28405	363	5	affiliations	affiliation	NOUN
bracis-28405	363	6	federal	federal	PROPN
bracis-28405	363	7	university	university	PROPN
bracis-28405	363	8	of	of	ADP
bracis-28405	363	9	são	são	PROPN
bracis-28405	363	10	carlos	carlos	PROPN
bracis-28405	363	11	,	,	PUNCT
bracis-28405	363	12	são	são	PROPN
bracis-28405	363	13	carlos	carlos	PROPN
bracis-28405	363	14	,	,	PUNCT
bracis-28405	363	15	brazil	brazil	PROPN
bracis-28405	363	16	murilo	murilo	PROPN
bracis-28405	363	17	c.	c.	PROPN
bracis-28405	363	18	naldi	naldi	PROPN
bracis-28405	363	19	centro	centro	PROPN
bracis-28405	363	20	universitario	universitario	PROPN
bracis-28405	363	21	da	da	PROPN
bracis-28405	363	22	fei	fei	PROPN
bracis-28405	363	23	,	,	PUNCT
bracis-28405	363	24	são	são	PROPN
bracis-28405	363	25	bernardo	bernardo	PROPN
bracis-28405	363	26	do	do	AUX
bracis-28405	363	27	campo	campo	PROPN
bracis-28405	363	28	,	,	PUNCT
bracis-28405	363	29	brazil	brazil	PROPN
bracis-28405	363	30	reinaldo	reinaldo	PROPN
bracis-28405	363	31	a.	a.	PROPN
bracis-28405	363	32	c.	c.	PROPN
bracis-28405	363	33	bianchi	bianchi	PROPN
bracis-28405	363	34	rights	right	NOUN
bracis-28405	363	35	and	and	CCONJ
bracis-28405	363	36	permissions	permission	NOUN
bracis-28405	363	37	reprints	reprint	NOUN
bracis-28405	363	38	and	and	CCONJ
bracis-28405	363	39	permissions	permission	VERB
bracis-28405	363	40	copyright	copyright	NOUN
bracis-28405	363	41	information	information	NOUN
bracis-28405	363	42	©	©	ADP
bracis-28405	363	43	2023	2023	NUM
bracis-28405	363	44	the	the	DET
bracis-28405	363	45	author(s	author(s	NOUN
bracis-28405	363	46	)	)	PUNCT
bracis-28405	363	47	,	,	PUNCT
bracis-28405	363	48	under	under	ADP
bracis-28405	363	49	exclusive	exclusive	ADJ
bracis-28405	363	50	license	license	NOUN
bracis-28405	363	51	to	to	ADP
bracis-28405	363	52	springer	springer	NOUN
bracis-28405	363	53	nature	nature	PROPN
bracis-28405	363	54	switzerland	switzerland	PROPN
bracis-28405	363	55	ag	ag	PROPN
bracis-28405	363	56	about	about	ADP
bracis-28405	363	57	this	this	DET
bracis-28405	363	58	paper	paper	NOUN
bracis-28405	363	59	cite	cite	VERB
bracis-28405	363	60	this	this	DET
bracis-28405	363	61	paper	paper	NOUN
bracis-28405	363	62	de	de	PROPN
bracis-28405	363	63	sousa	sousa	PROPN
bracis-28405	363	64	,	,	PUNCT
bracis-28405	363	65	m.c	m.c	PROPN
bracis-28405	363	66	.	.	PROPN
bracis-28405	363	67	,	,	PUNCT
bracis-28405	363	68	meneghini	meneghini	PROPN
bracis-28405	363	69	,	,	PUNCT
bracis-28405	363	70	i.r	i.r	PROPN
bracis-28405	363	71	.	.	PROPN
bracis-28405	363	72	,	,	PUNCT
bracis-28405	363	73	guimarães	guimarães	PROPN
bracis-28405	363	74	,	,	PUNCT
bracis-28405	363	75	f.g	f.g	PROPN
bracis-28405	363	76	.	.	PROPN
bracis-28405	363	77	(	(	PUNCT
bracis-28405	363	78	2023	2023	NUM
bracis-28405	363	79	)	)	PUNCT
bracis-28405	363	80	.	.	PUNCT
bracis-28405	364	1	assessment	assessment	NOUN
bracis-28405	364	2	of	of	ADP
bracis-28405	364	3	robust	robust	ADJ
bracis-28405	364	4	multi	multi	ADJ
bracis-28405	364	5	-	-	ADJ
bracis-28405	364	6	objective	objective	ADJ
bracis-28405	364	7	evolutionary	evolutionary	ADJ
bracis-28405	364	8	algorithms	algorithm	NOUN
bracis-28405	364	9	on	on	ADP
bracis-28405	364	10	robust	robust	ADJ
bracis-28405	364	11	and	and	CCONJ
bracis-28405	364	12	noisy	noisy	ADJ
bracis-28405	364	13	environments	environment	NOUN
bracis-28405	364	14	.	.	PUNCT
bracis-28405	365	1	in	in	ADP
bracis-28405	365	2	:	:	PUNCT
bracis-28405	365	3	naldi	naldi	PROPN
bracis-28405	365	4	,	,	PUNCT
bracis-28405	365	5	m.c	m.c	PROPN
bracis-28405	365	6	.	.	PROPN
bracis-28405	365	7	,	,	PUNCT
bracis-28405	365	8	bianchi	bianchi	PROPN
bracis-28405	365	9	,	,	PUNCT
bracis-28405	365	10	r.a.c	r.a.c	ADP
bracis-28405	365	11	.	.	PUNCT
bracis-28405	365	12	(	(	PUNCT
bracis-28405	365	13	eds	ed	NOUN
bracis-28405	365	14	)	)	PUNCT
bracis-28405	365	15	intelligent	intelligent	ADJ
bracis-28405	365	16	systems	system	NOUN
bracis-28405	365	17	.	.	PUNCT
bracis-28405	366	1	bracis	bracis	PROPN
bracis-28405	366	2	2023	2023	NUM
bracis-28405	366	3	.	.	PUNCT
bracis-28405	367	1	lecture	lecture	NOUN
bracis-28405	367	2	notes	note	NOUN
bracis-28405	367	3	in	in	ADP
bracis-28405	367	4	computer	computer	NOUN
bracis-28405	367	5	science	science	NOUN
bracis-28405	367	6	(	(	PUNCT
bracis-28405	367	7	)	)	PUNCT
bracis-28405	367	8	,	,	PUNCT
bracis-28405	367	9	vol	vol	NOUN
bracis-28405	367	10	14197	14197	NUM
bracis-28405	367	11	.	.	PUNCT
bracis-28405	368	1	springer	springer	NOUN
bracis-28405	368	2	,	,	PUNCT
bracis-28405	368	3	cham	cham	PROPN
bracis-28405	368	4	.	.	PUNCT
bracis-28405	369	1	https://doi.org/10.1007/978-3-031-45392-2_3	https://doi.org/10.1007/978-3-031-45392-2_3	PART
bracis-28405	369	2	download	download	PROPN
bracis-28405	369	3	citation	citation	NOUN
bracis-28405	369	4	.ris	.ris	PUNCT
bracis-28405	369	5	.enw	.enw	PROPN
bracis-28405	370	1	.bib	.bib	PUNCT
bracis-28405	371	1	doi	doi	PROPN
bracis-28405	371	2	:	:	PUNCT
bracis-28405	371	3	https://doi.org/10.1007/978-3-031-45392-2_3	https://doi.org/10.1007/978-3-031-45392-2_3	NUM
bracis-28405	371	4	published	publish	VERB
bracis-28405	371	5	:	:	PUNCT
bracis-28405	371	6	12	12	NUM
bracis-28405	371	7	october	october	PROPN
bracis-28405	371	8	2023	2023	NUM
bracis-28405	371	9	publisher	publisher	NOUN
bracis-28405	371	10	name	name	NOUN
bracis-28405	371	11	:	:	PUNCT
bracis-28405	371	12	springer	springer	NOUN
bracis-28405	371	13	,	,	PUNCT
bracis-28405	371	14	cham	cham	PROPN
bracis-28405	371	15	print	print	PROPN
bracis-28405	371	16	isbn	isbn	PROPN
bracis-28405	371	17	:	:	PUNCT
bracis-28405	371	18	978	978	NUM
bracis-28405	371	19	-	-	SYM
bracis-28405	371	20	3	3	NUM
bracis-28405	371	21	-	-	PUNCT
bracis-28405	371	22	031	031	NUM
bracis-28405	371	23	-	-	PUNCT
bracis-28405	371	24	45391	45391	NUM
bracis-28405	371	25	-	-	SYM
bracis-28405	371	26	5	5	NUM
bracis-28405	371	27	online	online	ADJ
bracis-28405	371	28	isbn	isbn	NOUN
bracis-28405	371	29	:	:	PUNCT
bracis-28405	371	30	978	978	NUM
bracis-28405	371	31	-	-	SYM
bracis-28405	371	32	3	3	NUM
bracis-28405	371	33	-	-	PUNCT
bracis-28405	371	34	031	031	NUM
bracis-28405	371	35	-	-	PUNCT
bracis-28405	371	36	45392	45392	NUM
bracis-28405	371	37	-	-	SYM
bracis-28405	371	38	2	2	NUM
bracis-28405	371	39	ebook	ebook	NOUN
bracis-28405	371	40	packages	package	NOUN
bracis-28405	371	41	:	:	PUNCT
bracis-28405	371	42	computer	computer	NOUN
bracis-28405	371	43	sciencecomputer	sciencecomputer	NOUN
bracis-28405	371	44	science	science	NOUN
bracis-28405	371	45	(	(	PUNCT
bracis-28405	371	46	r0	r0	NOUN
bracis-28405	371	47	)	)	PUNCT
bracis-28405	371	48	share	share	VERB
bracis-28405	371	49	this	this	DET
bracis-28405	371	50	paper	paper	NOUN
bracis-28405	371	51	anyone	anyone	PRON
bracis-28405	371	52	you	you	PRON
bracis-28405	371	53	share	share	VERB
bracis-28405	371	54	the	the	DET
bracis-28405	371	55	following	follow	VERB
bracis-28405	371	56	link	link	NOUN
bracis-28405	371	57	with	with	ADP
bracis-28405	371	58	will	will	AUX
bracis-28405	371	59	be	be	AUX
bracis-28405	371	60	able	able	ADJ
bracis-28405	371	61	to	to	PART
bracis-28405	371	62	read	read	VERB
bracis-28405	371	63	this	this	DET
bracis-28405	371	64	content	content	NOUN
bracis-28405	371	65	:	:	PUNCT
bracis-28405	371	66	get	get	VERB
bracis-28405	371	67	shareable	shareable	ADJ
bracis-28405	371	68	linksorry	linksorry	NOUN
bracis-28405	371	69	,	,	PUNCT
bracis-28405	371	70	a	a	DET
bracis-28405	371	71	shareable	shareable	ADJ
bracis-28405	371	72	link	link	NOUN
bracis-28405	371	73	is	be	AUX
bracis-28405	371	74	not	not	PART
bracis-28405	371	75	currently	currently	ADV
bracis-28405	371	76	available	available	ADJ
bracis-28405	371	77	for	for	ADP
bracis-28405	371	78	this	this	DET
bracis-28405	371	79	article	article	NOUN
bracis-28405	371	80	.	.	PUNCT
bracis-28405	372	1	copy	copy	VERB
bracis-28405	372	2	shareable	shareable	ADJ
bracis-28405	372	3	link	link	NOUN
bracis-28405	372	4	to	to	PART
bracis-28405	372	5	clipboard	clipboard	NOUN
bracis-28405	372	6	provided	provide	VERB
bracis-28405	372	7	by	by	ADP
bracis-28405	372	8	the	the	DET
bracis-28405	372	9	springer	springer	NOUN
bracis-28405	372	10	nature	nature	PROPN
bracis-28405	372	11	sharedit	sharedit	PROPN
bracis-28405	372	12	content	content	NOUN
bracis-28405	372	13	-	-	PUNCT
bracis-28405	372	14	sharing	share	VERB
bracis-28405	372	15	initiative	initiative	NOUN
bracis-28405	372	16	keywords	keyword	NOUN
bracis-28405	372	17	robust	robust	ADJ
bracis-28405	372	18	optimization	optimization	NOUN
bracis-28405	372	19	noisy	noisy	ADJ
bracis-28405	372	20	optimization	optimization	NOUN
bracis-28405	372	21	evolutionary	evolutionary	ADJ
bracis-28405	372	22	algorithm	algorithm	NOUN
bracis-28405	372	23	test	test	NOUN
bracis-28405	372	24	functions	function	NOUN
bracis-28405	372	25	publish	publish	VERB
bracis-28405	372	26	with	with	ADP
bracis-28405	372	27	us	us	PROPN
bracis-28405	372	28	policies	policy	NOUN
bracis-28405	372	29	and	and	CCONJ
bracis-28405	372	30	ethics	ethic	NOUN
bracis-28405	372	31	profiles	profile	NOUN
bracis-28405	372	32	ivan	ivan	PROPN
bracis-28405	372	33	reinaldo	reinaldo	PROPN
bracis-28405	372	34	meneghini	meneghini	ADJ
bracis-28405	372	35	view	view	NOUN
bracis-28405	372	36	author	author	NOUN
bracis-28405	372	37	profile	profile	NOUN
bracis-28405	372	38	search	search	NOUN
bracis-28405	372	39	search	search	NOUN
bracis-28405	372	40	by	by	ADP
bracis-28405	372	41	keyword	keyword	NOUN
bracis-28405	372	42	or	or	CCONJ
bracis-28405	372	43	author	author	NOUN
bracis-28405	372	44	search	search	NOUN
bracis-28405	372	45	navigation	navigation	NOUN
bracis-28405	372	46	find	find	VERB
bracis-28405	372	47	a	a	DET
bracis-28405	372	48	journal	journal	NOUN
bracis-28405	372	49	publish	publish	VERB
bracis-28405	372	50	with	with	ADP
bracis-28405	372	51	us	we	PRON
bracis-28405	372	52	track	track	VERB
bracis-28405	372	53	your	your	PRON
bracis-28405	372	54	research	research	NOUN
bracis-28405	372	55	discover	discover	VERB
bracis-28405	372	56	content	content	NOUN
bracis-28405	372	57	journals	journal	NOUN
bracis-28405	372	58	a	a	DET
bracis-28405	372	59	-	-	PUNCT
bracis-28405	372	60	z	z	NOUN
bracis-28405	372	61	books	book	NOUN
bracis-28405	372	62	a	a	DET
bracis-28405	372	63	-	-	PUNCT
bracis-28405	372	64	z	z	NOUN
bracis-28405	372	65	publish	publish	NOUN
bracis-28405	372	66	with	with	ADP
bracis-28405	372	67	us	us	PROPN
bracis-28405	372	68	journal	journal	PROPN
bracis-28405	372	69	finder	finder	PROPN
bracis-28405	372	70	publish	publish	VERB
bracis-28405	372	71	your	your	PRON
bracis-28405	372	72	research	research	NOUN
bracis-28405	372	73	language	language	NOUN
bracis-28405	372	74	editing	edit	VERB
bracis-28405	372	75	open	open	ADJ
bracis-28405	372	76	access	access	NOUN
bracis-28405	372	77	publishing	publishing	NOUN
bracis-28405	372	78	products	product	NOUN
bracis-28405	372	79	and	and	CCONJ
bracis-28405	372	80	services	service	NOUN
bracis-28405	372	81	our	our	PRON
bracis-28405	372	82	products	product	NOUN
bracis-28405	372	83	librarians	librarian	VERB
bracis-28405	372	84	societies	society	NOUN
bracis-28405	372	85	partners	partner	NOUN
bracis-28405	372	86	and	and	CCONJ
bracis-28405	372	87	advertisers	advertiser	NOUN
bracis-28405	372	88	our	our	PRON
bracis-28405	372	89	brands	brand	NOUN
bracis-28405	372	90	springer	springer	NOUN
bracis-28405	372	91	nature	nature	PROPN
bracis-28405	372	92	portfolio	portfolio	PROPN
bracis-28405	372	93	bmc	bmc	PROPN
bracis-28405	372	94	palgrave	palgrave	PROPN
bracis-28405	372	95	macmillan	macmillan	PROPN
bracis-28405	372	96	apress	apress	PROPN
bracis-28405	372	97	discover	discover	VERB
bracis-28405	372	98	your	your	PRON
bracis-28405	372	99	privacy	privacy	NOUN
bracis-28405	372	100	choices	choice	NOUN
bracis-28405	372	101	/	/	SYM
bracis-28405	372	102	manage	manage	NOUN
bracis-28405	372	103	cookies	cookie	NOUN
bracis-28405	372	104	your	your	PRON
bracis-28405	372	105	us	us	PROPN
bracis-28405	373	1	state	state	NOUN
bracis-28405	373	2	privacy	privacy	NOUN
bracis-28405	373	3	rights	right	NOUN
bracis-28405	373	4	accessibility	accessibility	NOUN
bracis-28405	373	5	statement	statement	NOUN
bracis-28405	373	6	terms	term	NOUN
bracis-28405	373	7	and	and	CCONJ
bracis-28405	373	8	conditions	condition	NOUN
bracis-28405	373	9	privacy	privacy	NOUN
bracis-28405	373	10	policy	policy	NOUN
bracis-28405	373	11	help	help	NOUN
bracis-28405	373	12	and	and	CCONJ
bracis-28405	373	13	support	support	VERB
bracis-28405	373	14	legal	legal	ADJ
bracis-28405	373	15	notice	notice	NOUN
bracis-28405	373	16	cancel	cancel	VERB
bracis-28405	373	17	contracts	contract	NOUN
bracis-28405	373	18	here	here	ADV
bracis-28405	373	19	129.74.145.123	129.74.145.123	NUM
bracis-28405	373	20	hesburgh	hesburgh	PROPN
bracis-28405	373	21	library	library	PROPN
bracis-28405	373	22	er	er	INTJ
bracis-28405	373	23	unit	unit	NOUN
bracis-28405	373	24	(	(	PUNCT
bracis-28405	373	25	3005732405	3005732405	NUM
bracis-28405	373	26	)	)	PUNCT
bracis-28405	373	27	northeast	northeast	ADJ
bracis-28405	373	28	research	research	NOUN
bracis-28405	373	29	libraries	library	NOUN
bracis-28405	373	30	(	(	PUNCT
bracis-28405	373	31	nerl	nerl	PROPN
bracis-28405	373	32	)	)	PUNCT
bracis-28405	373	33	(	(	PUNCT
bracis-28405	373	34	8200828607	8200828607	NUM
bracis-28405	373	35	)	)	PUNCT
bracis-28405	373	36	nerl	nerl	VERB
bracis-28405	373	37	ta	ta	X
bracis-28405	373	38	account	account	NOUN
bracis-28405	373	39	(	(	PUNCT
bracis-28405	373	40	3006206169	3006206169	NUM
bracis-28405	373	41	)	)	PUNCT
bracis-28405	373	42	university	university	NOUN
bracis-28405	373	43	of	of	ADP
bracis-28405	373	44	notre	notre	PROPN
bracis-28405	373	45	dame	dame	PROPN
bracis-28405	373	46	hesburgh	hesburgh	PROPN
bracis-28405	373	47	library	library	NOUN
bracis-28405	373	48	(	(	PUNCT
bracis-28405	373	49	3000184373	3000184373	NUM
bracis-28405	373	50	)	)	PUNCT
bracis-28405	374	1	©	©	ADP
bracis-28405	374	2	2025	2025	NUM
bracis-28405	374	3	springer	springer	NOUN
bracis-28405	374	4	nature	nature	NOUN