id	sid	tid	token	lemma	pos
ajst-26901	1	1	academic	academic	ADJ
ajst-26901	1	2	journal	journal	NOUN
ajst-26901	1	3	of	of	ADP
ajst-26901	1	4	science	science	NOUN
ajst-26901	1	5	and	and	CCONJ
ajst-26901	1	6	technology	technology	NOUN
ajst-26901	1	7	issn	issn	NOUN
ajst-26901	1	8	:	:	PUNCT
ajst-26901	1	9	2771	2771	NUM
ajst-26901	1	10	-	-	SYM
ajst-26901	1	11	3032	3032	NUM
ajst-26901	1	12	|	|	NOUN
ajst-26901	1	13	vol	vol	NOUN
ajst-26901	1	14	.	.	PROPN
ajst-26901	1	15	13	13	NUM
ajst-26901	1	16	,	,	PUNCT
ajst-26901	1	17	no	no	INTJ
ajst-26901	1	18	.	.	NOUN
ajst-26901	1	19	1	1	NUM
ajst-26901	1	20	,	,	PUNCT
ajst-26901	1	21	2024	2024	NUM
ajst-26901	1	22	151	151	NUM
ajst-26901	1	23	application	application	NOUN
ajst-26901	1	24	and	and	CCONJ
ajst-26901	1	25	practice	practice	NOUN
ajst-26901	1	26	of	of	ADP
ajst-26901	1	27	mathematical	mathematical	ADJ
ajst-26901	1	28	optimization	optimization	NOUN
ajst-26901	1	29	method	method	NOUN
ajst-26901	1	30	in	in	ADP
ajst-26901	1	31	structural	structural	ADJ
ajst-26901	1	32	mechanics	mechanic	NOUN
ajst-26901	1	33	design	design	NOUN
ajst-26901	1	34	mengze	mengze	PROPN
ajst-26901	1	35	liu	liu	PROPN
ajst-26901	1	36	jinan	jinan	PROPN
ajst-26901	1	37	new	new	PROPN
ajst-26901	1	38	channel	channel	PROPN
ajst-26901	1	39	jutes	jut	VERB
ajst-26901	1	40	high	high	ADJ
ajst-26901	1	41	school	school	NOUN
ajst-26901	1	42	,	,	PUNCT
ajst-26901	1	43	jinan	jinan	PROPN
ajst-26901	1	44	,	,	PUNCT
ajst-26901	1	45	china	china	PROPN
ajst-26901	1	46	abstract	abstract	PROPN
ajst-26901	1	47	:	:	PUNCT
ajst-26901	1	48	this	this	DET
ajst-26901	1	49	paper	paper	NOUN
ajst-26901	1	50	discusses	discuss	VERB
ajst-26901	1	51	the	the	DET
ajst-26901	1	52	application	application	NOUN
ajst-26901	1	53	of	of	ADP
ajst-26901	1	54	mathematical	mathematical	ADJ
ajst-26901	1	55	optimization	optimization	NOUN
ajst-26901	1	56	method	method	NOUN
ajst-26901	1	57	in	in	ADP
ajst-26901	1	58	structural	structural	ADJ
ajst-26901	1	59	mechanics	mechanic	NOUN
ajst-26901	1	60	design	design	NOUN
ajst-26901	1	61	,	,	PUNCT
ajst-26901	1	62	and	and	CCONJ
ajst-26901	1	63	emphasizes	emphasize	VERB
ajst-26901	1	64	its	its	PRON
ajst-26901	1	65	importance	importance	NOUN
ajst-26901	1	66	in	in	ADP
ajst-26901	1	67	improving	improve	VERB
ajst-26901	1	68	the	the	DET
ajst-26901	1	69	efficiency	efficiency	NOUN
ajst-26901	1	70	and	and	CCONJ
ajst-26901	1	71	accuracy	accuracy	NOUN
ajst-26901	1	72	of	of	ADP
ajst-26901	1	73	structural	structural	ADJ
ajst-26901	1	74	design	design	NOUN
ajst-26901	1	75	such	such	ADJ
ajst-26901	1	76	as	as	ADP
ajst-26901	1	77	buildings	building	NOUN
ajst-26901	1	78	and	and	CCONJ
ajst-26901	1	79	bridges	bridge	NOUN
ajst-26901	1	80	.	.	PUNCT
ajst-26901	2	1	traditional	traditional	ADJ
ajst-26901	2	2	design	design	NOUN
ajst-26901	2	3	methods	method	NOUN
ajst-26901	2	4	are	be	AUX
ajst-26901	2	5	limited	limit	VERB
ajst-26901	2	6	by	by	ADP
ajst-26901	2	7	empirical	empirical	ADJ
ajst-26901	2	8	formulas	formula	NOUN
ajst-26901	2	9	and	and	CCONJ
ajst-26901	2	10	trial	trial	NOUN
ajst-26901	2	11	-	-	PUNCT
ajst-26901	2	12	and	and	CCONJ
ajst-26901	2	13	-	-	PUNCT
ajst-26901	2	14	error	error	NOUN
ajst-26901	2	15	methods	method	NOUN
ajst-26901	2	16	,	,	PUNCT
ajst-26901	2	17	and	and	CCONJ
ajst-26901	2	18	they	they	PRON
ajst-26901	2	19	are	be	AUX
ajst-26901	2	20	unable	unable	ADJ
ajst-26901	2	21	to	to	PART
ajst-26901	2	22	solve	solve	VERB
ajst-26901	2	23	complex	complex	ADJ
ajst-26901	2	24	structural	structural	ADJ
ajst-26901	2	25	problems	problem	NOUN
ajst-26901	2	26	,	,	PUNCT
ajst-26901	2	27	while	while	SCONJ
ajst-26901	2	28	mathematical	mathematical	ADJ
ajst-26901	2	29	optimization	optimization	NOUN
ajst-26901	2	30	methods	method	NOUN
ajst-26901	2	31	can	can	AUX
ajst-26901	2	32	better	well	ADV
ajst-26901	2	33	find	find	VERB
ajst-26901	2	34	the	the	DET
ajst-26901	2	35	global	global	ADJ
ajst-26901	2	36	optimal	optimal	ADJ
ajst-26901	2	37	solution	solution	NOUN
ajst-26901	2	38	.	.	PUNCT
ajst-26901	3	1	this	this	DET
ajst-26901	3	2	paper	paper	NOUN
ajst-26901	3	3	introduces	introduce	VERB
ajst-26901	3	4	several	several	ADJ
ajst-26901	3	5	optimization	optimization	NOUN
ajst-26901	3	6	algorithms	algorithm	NOUN
ajst-26901	3	7	,	,	PUNCT
ajst-26901	3	8	including	include	VERB
ajst-26901	3	9	scatter	scatter	NOUN
ajst-26901	3	10	-	-	PUNCT
ajst-26901	3	11	based	base	VERB
ajst-26901	3	12	,	,	PUNCT
ajst-26901	3	13	gradient	gradient	NOUN
ajst-26901	3	14	-	-	PUNCT
ajst-26901	3	15	based	base	VERB
ajst-26901	3	16	and	and	CCONJ
ajst-26901	3	17	heuristic	heuristic	ADJ
ajst-26901	3	18	algorithms	algorithm	NOUN
ajst-26901	3	19	.	.	PUNCT
ajst-26901	4	1	taking	take	VERB
ajst-26901	4	2	a	a	DET
ajst-26901	4	3	truss	truss	ADJ
ajst-26901	4	4	structure	structure	NOUN
ajst-26901	4	5	as	as	ADP
ajst-26901	4	6	an	an	DET
ajst-26901	4	7	example	example	NOUN
ajst-26901	4	8	,	,	PUNCT
ajst-26901	4	9	it	it	PRON
ajst-26901	4	10	shows	show	VERB
ajst-26901	4	11	how	how	SCONJ
ajst-26901	4	12	to	to	PART
ajst-26901	4	13	use	use	VERB
ajst-26901	4	14	genetic	genetic	ADJ
ajst-26901	4	15	algorithm	algorithm	NOUN
ajst-26901	4	16	(	(	PUNCT
ajst-26901	4	17	ga	ga	NOUN
ajst-26901	4	18	)	)	PUNCT
ajst-26901	4	19	to	to	PART
ajst-26901	4	20	optimize	optimize	VERB
ajst-26901	4	21	the	the	DET
ajst-26901	4	22	design	design	NOUN
ajst-26901	4	23	.	.	PUNCT
ajst-26901	5	1	the	the	DET
ajst-26901	5	2	results	result	NOUN
ajst-26901	5	3	show	show	VERB
ajst-26901	5	4	that	that	SCONJ
ajst-26901	5	5	the	the	DET
ajst-26901	5	6	optimized	optimize	VERB
ajst-26901	5	7	truss	truss	NOUN
ajst-26901	5	8	structure	structure	NOUN
ajst-26901	5	9	has	have	AUX
ajst-26901	5	10	achieved	achieve	VERB
ajst-26901	5	11	significant	significant	ADJ
ajst-26901	5	12	weight	weight	NOUN
ajst-26901	5	13	reduction	reduction	NOUN
ajst-26901	5	14	under	under	ADP
ajst-26901	5	15	the	the	DET
ajst-26901	5	16	constraint	constraint	NOUN
ajst-26901	5	17	conditions	condition	NOUN
ajst-26901	5	18	.	.	PUNCT
ajst-26901	6	1	at	at	ADP
ajst-26901	6	2	the	the	DET
ajst-26901	6	3	same	same	ADJ
ajst-26901	6	4	time	time	NOUN
ajst-26901	6	5	,	,	PUNCT
ajst-26901	6	6	compared	compare	VERB
ajst-26901	6	7	with	with	ADP
ajst-26901	6	8	the	the	DET
ajst-26901	6	9	gradient	gradient	NOUN
ajst-26901	6	10	-	-	PUNCT
ajst-26901	6	11	based	base	VERB
ajst-26901	6	12	method	method	NOUN
ajst-26901	6	13	,	,	PUNCT
ajst-26901	6	14	the	the	DET
ajst-26901	6	15	advantages	advantage	NOUN
ajst-26901	6	16	of	of	ADP
ajst-26901	6	17	ga	ga	PROPN
ajst-26901	6	18	in	in	ADP
ajst-26901	6	19	global	global	ADJ
ajst-26901	6	20	optimization	optimization	NOUN
ajst-26901	6	21	are	be	AUX
ajst-26901	6	22	highlighted	highlight	VERB
ajst-26901	6	23	.	.	PUNCT
ajst-26901	7	1	finally	finally	ADV
ajst-26901	7	2	,	,	PUNCT
ajst-26901	7	3	the	the	DET
ajst-26901	7	4	paper	paper	NOUN
ajst-26901	7	5	discusses	discuss	VERB
ajst-26901	7	6	the	the	DET
ajst-26901	7	7	challenges	challenge	NOUN
ajst-26901	7	8	and	and	CCONJ
ajst-26901	7	9	solutions	solution	NOUN
ajst-26901	7	10	encountered	encounter	VERB
ajst-26901	7	11	in	in	ADP
ajst-26901	7	12	practice	practice	NOUN
ajst-26901	7	13	,	,	PUNCT
ajst-26901	7	14	such	such	ADJ
ajst-26901	7	15	as	as	ADP
ajst-26901	7	16	improving	improve	VERB
ajst-26901	7	17	the	the	DET
ajst-26901	7	18	algorithm	algorithm	NOUN
ajst-26901	7	19	,	,	PUNCT
ajst-26901	7	20	introducing	introduce	VERB
ajst-26901	7	21	parallel	parallel	ADJ
ajst-26901	7	22	computing	computing	NOUN
ajst-26901	7	23	and	and	CCONJ
ajst-26901	7	24	synthesizing	synthesize	VERB
ajst-26901	7	25	various	various	ADJ
ajst-26901	7	26	optimization	optimization	NOUN
ajst-26901	7	27	methods	method	NOUN
ajst-26901	7	28	.	.	PUNCT
ajst-26901	8	1	these	these	DET
ajst-26901	8	2	studies	study	NOUN
ajst-26901	8	3	provide	provide	VERB
ajst-26901	8	4	valuable	valuable	ADJ
ajst-26901	8	5	reference	reference	NOUN
ajst-26901	8	6	for	for	ADP
ajst-26901	8	7	engineers	engineer	NOUN
ajst-26901	8	8	and	and	CCONJ
ajst-26901	8	9	promote	promote	VERB
ajst-26901	8	10	the	the	DET
ajst-26901	8	11	development	development	NOUN
ajst-26901	8	12	of	of	ADP
ajst-26901	8	13	this	this	DET
ajst-26901	8	14	field	field	NOUN
ajst-26901	8	15	.	.	PUNCT
ajst-26901	9	1	keywords	keyword	NOUN
ajst-26901	9	2	:	:	PUNCT
ajst-26901	9	3	mathematical	mathematical	ADJ
ajst-26901	9	4	optimization	optimization	NOUN
ajst-26901	9	5	;	;	PUNCT
ajst-26901	9	6	structural	structural	ADJ
ajst-26901	9	7	mechanics	mechanic	NOUN
ajst-26901	9	8	design	design	NOUN
ajst-26901	9	9	;	;	PUNCT
ajst-26901	9	10	genetic	genetic	ADJ
ajst-26901	9	11	algorithm	algorithm	NOUN
ajst-26901	9	12	.	.	PUNCT
ajst-26901	10	1	1	1	X
ajst-26901	10	2	.	.	X
ajst-26901	10	3	introduction	introduction	NOUN
ajst-26901	10	4	in	in	ADP
ajst-26901	10	5	the	the	DET
ajst-26901	10	6	field	field	NOUN
ajst-26901	10	7	of	of	ADP
ajst-26901	10	8	modern	modern	ADJ
ajst-26901	10	9	engineering	engineering	NOUN
ajst-26901	10	10	,	,	PUNCT
ajst-26901	10	11	structural	structural	ADJ
ajst-26901	10	12	mechanics	mechanic	NOUN
ajst-26901	10	13	design	design	NOUN
ajst-26901	10	14	is	be	AUX
ajst-26901	10	15	the	the	DET
ajst-26901	10	16	key	key	ADJ
ajst-26901	10	17	link	link	NOUN
ajst-26901	10	18	to	to	PART
ajst-26901	10	19	ensure	ensure	VERB
ajst-26901	10	20	the	the	DET
ajst-26901	10	21	safety	safety	NOUN
ajst-26901	10	22	,	,	PUNCT
ajst-26901	10	23	stability	stability	NOUN
ajst-26901	10	24	and	and	CCONJ
ajst-26901	10	25	economy	economy	NOUN
ajst-26901	10	26	of	of	ADP
ajst-26901	10	27	buildings	building	NOUN
ajst-26901	10	28	,	,	PUNCT
ajst-26901	10	29	bridges	bridge	NOUN
ajst-26901	10	30	,	,	PUNCT
ajst-26901	10	31	aerospace	aerospace	NOUN
ajst-26901	10	32	vehicles	vehicle	NOUN
ajst-26901	10	33	and	and	CCONJ
ajst-26901	10	34	other	other	ADJ
ajst-26901	10	35	structures	structure	NOUN
ajst-26901	10	36	.	.	PUNCT
ajst-26901	11	1	with	with	ADP
ajst-26901	11	2	the	the	DET
ajst-26901	11	3	continuous	continuous	ADJ
ajst-26901	11	4	progress	progress	NOUN
ajst-26901	11	5	of	of	ADP
ajst-26901	11	6	science	science	NOUN
ajst-26901	11	7	and	and	CCONJ
ajst-26901	11	8	technology	technology	NOUN
ajst-26901	11	9	,	,	PUNCT
ajst-26901	11	10	the	the	DET
ajst-26901	11	11	complexity	complexity	NOUN
ajst-26901	11	12	and	and	CCONJ
ajst-26901	11	13	accuracy	accuracy	NOUN
ajst-26901	11	14	requirements	requirement	NOUN
ajst-26901	11	15	of	of	ADP
ajst-26901	11	16	structural	structural	ADJ
ajst-26901	11	17	design	design	NOUN
ajst-26901	11	18	are	be	AUX
ajst-26901	11	19	also	also	ADV
ajst-26901	11	20	increasing	increase	VERB
ajst-26901	11	21	.	.	PUNCT
ajst-26901	12	1	traditional	traditional	ADJ
ajst-26901	12	2	structural	structural	ADJ
ajst-26901	12	3	design	design	NOUN
ajst-26901	12	4	methods	method	NOUN
ajst-26901	12	5	often	often	ADV
ajst-26901	12	6	rely	rely	VERB
ajst-26901	12	7	on	on	ADP
ajst-26901	12	8	empirical	empirical	ADJ
ajst-26901	12	9	formulas	formula	NOUN
ajst-26901	12	10	and	and	CCONJ
ajst-26901	12	11	trialand	trialand	NOUN
ajst-26901	12	12	-	-	PUNCT
ajst-26901	12	13	error	error	NOUN
ajst-26901	12	14	methods	method	NOUN
ajst-26901	12	15	,	,	PUNCT
ajst-26901	12	16	which	which	PRON
ajst-26901	12	17	may	may	AUX
ajst-26901	12	18	be	be	AUX
ajst-26901	12	19	inadequate	inadequate	ADJ
ajst-26901	12	20	in	in	ADP
ajst-26901	12	21	dealing	deal	VERB
ajst-26901	12	22	with	with	ADP
ajst-26901	12	23	complex	complex	ADJ
ajst-26901	12	24	structures	structure	NOUN
ajst-26901	12	25	,	,	PUNCT
ajst-26901	12	26	unable	unable	ADJ
ajst-26901	12	27	to	to	PART
ajst-26901	12	28	find	find	VERB
ajst-26901	12	29	the	the	DET
ajst-26901	12	30	global	global	ADJ
ajst-26901	12	31	optimal	optimal	ADJ
ajst-26901	12	32	solution	solution	NOUN
ajst-26901	12	33	or	or	CCONJ
ajst-26901	12	34	inefficient	inefficient	ADJ
ajst-26901	12	35	[	[	PUNCT
ajst-26901	12	36	1	1	NUM
ajst-26901	12	37	-	-	SYM
ajst-26901	12	38	2	2	NUM
ajst-26901	12	39	]	]	PUNCT
ajst-26901	12	40	.	.	PUNCT
ajst-26901	13	1	therefore	therefore	ADV
ajst-26901	13	2	,	,	PUNCT
ajst-26901	13	3	exploring	explore	VERB
ajst-26901	13	4	more	more	ADV
ajst-26901	13	5	efficient	efficient	ADJ
ajst-26901	13	6	and	and	CCONJ
ajst-26901	13	7	accurate	accurate	ADJ
ajst-26901	13	8	structural	structural	ADJ
ajst-26901	13	9	design	design	NOUN
ajst-26901	13	10	methods	method	NOUN
ajst-26901	13	11	has	have	AUX
ajst-26901	13	12	become	become	VERB
ajst-26901	13	13	the	the	DET
ajst-26901	13	14	focus	focus	NOUN
ajst-26901	13	15	of	of	ADP
ajst-26901	13	16	engineers	engineer	NOUN
ajst-26901	13	17	and	and	CCONJ
ajst-26901	13	18	researchers	researcher	NOUN
ajst-26901	13	19	.	.	PUNCT
ajst-26901	14	1	as	as	ADP
ajst-26901	14	2	a	a	DET
ajst-26901	14	3	powerful	powerful	ADJ
ajst-26901	14	4	tool	tool	NOUN
ajst-26901	14	5	,	,	PUNCT
ajst-26901	14	6	mathematical	mathematical	ADJ
ajst-26901	14	7	optimization	optimization	NOUN
ajst-26901	14	8	method	method	NOUN
ajst-26901	14	9	can	can	AUX
ajst-26901	14	10	find	find	VERB
ajst-26901	14	11	the	the	DET
ajst-26901	14	12	optimal	optimal	ADJ
ajst-26901	14	13	solution	solution	NOUN
ajst-26901	14	14	under	under	ADP
ajst-26901	14	15	given	give	VERB
ajst-26901	14	16	constraints	constraint	NOUN
ajst-26901	14	17	,	,	PUNCT
ajst-26901	14	18	which	which	PRON
ajst-26901	14	19	provides	provide	VERB
ajst-26901	14	20	strong	strong	ADJ
ajst-26901	14	21	support	support	NOUN
ajst-26901	14	22	for	for	ADP
ajst-26901	14	23	solving	solve	VERB
ajst-26901	14	24	complex	complex	ADJ
ajst-26901	14	25	structural	structural	ADJ
ajst-26901	14	26	design	design	NOUN
ajst-26901	14	27	problems	problem	NOUN
ajst-26901	14	28	.	.	PUNCT
ajst-26901	15	1	these	these	DET
ajst-26901	15	2	methods	method	NOUN
ajst-26901	15	3	transform	transform	VERB
ajst-26901	15	4	practical	practical	ADJ
ajst-26901	15	5	problems	problem	NOUN
ajst-26901	15	6	into	into	ADP
ajst-26901	15	7	solvable	solvable	ADJ
ajst-26901	15	8	mathematical	mathematical	ADJ
ajst-26901	15	9	problems	problem	NOUN
ajst-26901	15	10	through	through	ADP
ajst-26901	15	11	mathematical	mathematical	ADJ
ajst-26901	15	12	modeling	modeling	NOUN
ajst-26901	15	13	,	,	PUNCT
ajst-26901	15	14	and	and	CCONJ
ajst-26901	15	15	then	then	ADV
ajst-26901	15	16	use	use	VERB
ajst-26901	15	17	algorithms	algorithm	NOUN
ajst-26901	15	18	to	to	PART
ajst-26901	15	19	find	find	VERB
ajst-26901	15	20	the	the	DET
ajst-26901	15	21	optimal	optimal	ADJ
ajst-26901	15	22	design	design	NOUN
ajst-26901	15	23	parameters	parameter	NOUN
ajst-26901	15	24	[	[	X
ajst-26901	15	25	3	3	NUM
ajst-26901	15	26	]	]	PUNCT
ajst-26901	15	27	.	.	PUNCT
ajst-26901	16	1	mathematical	mathematical	ADJ
ajst-26901	16	2	optimization	optimization	NOUN
ajst-26901	16	3	method	method	NOUN
ajst-26901	16	4	can	can	AUX
ajst-26901	16	5	not	not	PART
ajst-26901	16	6	only	only	ADV
ajst-26901	16	7	improve	improve	VERB
ajst-26901	16	8	the	the	DET
ajst-26901	16	9	design	design	NOUN
ajst-26901	16	10	efficiency	efficiency	NOUN
ajst-26901	16	11	,	,	PUNCT
ajst-26901	16	12	but	but	CCONJ
ajst-26901	16	13	also	also	ADV
ajst-26901	16	14	ensure	ensure	VERB
ajst-26901	16	15	the	the	DET
ajst-26901	16	16	superiority	superiority	NOUN
ajst-26901	16	17	of	of	ADP
ajst-26901	16	18	design	design	NOUN
ajst-26901	16	19	results	result	NOUN
ajst-26901	16	20	to	to	ADP
ajst-26901	16	21	some	some	DET
ajst-26901	16	22	extent	extent	NOUN
ajst-26901	16	23	.	.	PUNCT
ajst-26901	17	1	this	this	DET
ajst-26901	17	2	paper	paper	NOUN
ajst-26901	17	3	shows	show	VERB
ajst-26901	17	4	in	in	ADP
ajst-26901	17	5	detail	detail	NOUN
ajst-26901	17	6	how	how	SCONJ
ajst-26901	17	7	the	the	DET
ajst-26901	17	8	mathematical	mathematical	ADJ
ajst-26901	17	9	optimization	optimization	NOUN
ajst-26901	17	10	method	method	NOUN
ajst-26901	17	11	plays	play	VERB
ajst-26901	17	12	a	a	DET
ajst-26901	17	13	role	role	NOUN
ajst-26901	17	14	in	in	ADP
ajst-26901	17	15	structural	structural	ADJ
ajst-26901	17	16	mechanics	mechanic	NOUN
ajst-26901	17	17	design	design	VERB
ajst-26901	17	18	through	through	ADP
ajst-26901	17	19	specific	specific	ADJ
ajst-26901	17	20	cases	case	NOUN
ajst-26901	17	21	,	,	PUNCT
ajst-26901	17	22	in	in	ADP
ajst-26901	17	23	order	order	NOUN
ajst-26901	17	24	to	to	PART
ajst-26901	17	25	provide	provide	VERB
ajst-26901	17	26	useful	useful	ADJ
ajst-26901	17	27	reference	reference	NOUN
ajst-26901	17	28	and	and	CCONJ
ajst-26901	17	29	enlightenment	enlightenment	NOUN
ajst-26901	17	30	for	for	ADP
ajst-26901	17	31	engineers	engineer	NOUN
ajst-26901	17	32	and	and	CCONJ
ajst-26901	17	33	researchers	researcher	NOUN
ajst-26901	17	34	.	.	PUNCT
ajst-26901	18	1	2	2	X
ajst-26901	18	2	.	.	X
ajst-26901	18	3	overview	overview	NOUN
ajst-26901	18	4	of	of	ADP
ajst-26901	18	5	mathematical	mathematical	ADJ
ajst-26901	18	6	optimization	optimization	NOUN
ajst-26901	18	7	methods	method	NOUN
ajst-26901	18	8	mathematical	mathematical	ADJ
ajst-26901	18	9	optimization	optimization	NOUN
ajst-26901	18	10	method	method	NOUN
ajst-26901	18	11	is	be	AUX
ajst-26901	18	12	a	a	DET
ajst-26901	18	13	subject	subject	NOUN
ajst-26901	18	14	to	to	AUX
ajst-26901	18	15	study	study	VERB
ajst-26901	18	16	and	and	CCONJ
ajst-26901	18	17	solve	solve	VERB
ajst-26901	18	18	optimization	optimization	NOUN
ajst-26901	18	19	problems	problem	NOUN
ajst-26901	18	20	,	,	PUNCT
ajst-26901	18	21	aiming	aim	VERB
ajst-26901	18	22	at	at	ADP
ajst-26901	18	23	finding	find	VERB
ajst-26901	18	24	the	the	DET
ajst-26901	18	25	best	good	ADJ
ajst-26901	18	26	scheme	scheme	NOUN
ajst-26901	18	27	from	from	ADP
ajst-26901	18	28	many	many	ADJ
ajst-26901	18	29	possible	possible	ADJ
ajst-26901	18	30	schemes	scheme	NOUN
ajst-26901	18	31	.	.	PUNCT
ajst-26901	19	1	in	in	ADP
ajst-26901	19	2	structural	structural	ADJ
ajst-26901	19	3	mechanics	mechanic	NOUN
ajst-26901	19	4	design	design	NOUN
ajst-26901	19	5	,	,	PUNCT
ajst-26901	19	6	the	the	DET
ajst-26901	19	7	application	application	NOUN
ajst-26901	19	8	of	of	ADP
ajst-26901	19	9	mathematical	mathematical	ADJ
ajst-26901	19	10	optimization	optimization	NOUN
ajst-26901	19	11	method	method	NOUN
ajst-26901	19	12	can	can	AUX
ajst-26901	19	13	significantly	significantly	ADV
ajst-26901	19	14	improve	improve	VERB
ajst-26901	19	15	the	the	DET
ajst-26901	19	16	design	design	NOUN
ajst-26901	19	17	efficiency	efficiency	NOUN
ajst-26901	19	18	and	and	CCONJ
ajst-26901	19	19	quality	quality	NOUN
ajst-26901	19	20	.	.	PUNCT
ajst-26901	20	1	including	include	VERB
ajst-26901	20	2	scatter	scatter	NOUN
ajst-26901	20	3	-	-	PUNCT
ajst-26901	20	4	based	base	VERB
ajst-26901	20	5	optimization	optimization	NOUN
ajst-26901	20	6	algorithm	algorithm	NOUN
ajst-26901	20	7	,	,	PUNCT
ajst-26901	20	8	gradientbased	gradientbase	VERB
ajst-26901	20	9	optimization	optimization	NOUN
ajst-26901	20	10	algorithm	algorithm	NOUN
ajst-26901	20	11	and	and	CCONJ
ajst-26901	20	12	heuristic	heuristic	ADJ
ajst-26901	20	13	optimization	optimization	NOUN
ajst-26901	20	14	algorithm	algorithm	NOUN
ajst-26901	20	15	.	.	PUNCT
ajst-26901	21	1	the	the	DET
ajst-26901	21	2	optimization	optimization	NOUN
ajst-26901	21	3	algorithm	algorithm	NOUN
ajst-26901	21	4	based	base	VERB
ajst-26901	21	5	on	on	ADP
ajst-26901	21	6	scattering	scatter	VERB
ajst-26901	21	7	points	point	NOUN
ajst-26901	21	8	is	be	AUX
ajst-26901	21	9	a	a	DET
ajst-26901	21	10	method	method	NOUN
ajst-26901	21	11	to	to	PART
ajst-26901	21	12	search	search	VERB
ajst-26901	21	13	the	the	DET
ajst-26901	21	14	optimal	optimal	ADJ
ajst-26901	21	15	solution	solution	NOUN
ajst-26901	21	16	by	by	ADP
ajst-26901	21	17	randomly	randomly	ADV
ajst-26901	21	18	scattering	scatter	VERB
ajst-26901	21	19	points	point	NOUN
ajst-26901	21	20	in	in	ADP
ajst-26901	21	21	the	the	DET
ajst-26901	21	22	design	design	NOUN
ajst-26901	21	23	space	space	NOUN
ajst-26901	21	24	[	[	X
ajst-26901	21	25	4	4	NUM
ajst-26901	21	26	-	-	SYM
ajst-26901	21	27	5	5	NUM
ajst-26901	21	28	]	]	PUNCT
ajst-26901	21	29	.	.	PUNCT
ajst-26901	22	1	this	this	DET
ajst-26901	22	2	method	method	NOUN
ajst-26901	22	3	is	be	AUX
ajst-26901	22	4	simple	simple	ADJ
ajst-26901	22	5	,	,	PUNCT
ajst-26901	22	6	intuitive	intuitive	ADJ
ajst-26901	22	7	and	and	CCONJ
ajst-26901	22	8	easy	easy	ADJ
ajst-26901	22	9	to	to	PART
ajst-26901	22	10	implement	implement	VERB
ajst-26901	22	11	,	,	PUNCT
ajst-26901	22	12	especially	especially	ADV
ajst-26901	22	13	suitable	suitable	ADJ
ajst-26901	22	14	for	for	ADP
ajst-26901	22	15	situations	situation	NOUN
ajst-26901	22	16	with	with	ADP
ajst-26901	22	17	large	large	ADJ
ajst-26901	22	18	design	design	NOUN
ajst-26901	22	19	space	space	NOUN
ajst-26901	22	20	and	and	CCONJ
ajst-26901	22	21	high	high	ADJ
ajst-26901	22	22	complexity	complexity	NOUN
ajst-26901	22	23	.	.	PUNCT
ajst-26901	23	1	however	however	ADV
ajst-26901	23	2	,	,	PUNCT
ajst-26901	23	3	the	the	DET
ajst-26901	23	4	shortcomings	shortcoming	NOUN
ajst-26901	23	5	of	of	ADP
ajst-26901	23	6	the	the	DET
ajst-26901	23	7	scattering	scatter	VERB
ajst-26901	23	8	method	method	NOUN
ajst-26901	23	9	are	be	AUX
ajst-26901	23	10	also	also	ADV
ajst-26901	23	11	obvious	obvious	ADJ
ajst-26901	23	12	,	,	PUNCT
ajst-26901	23	13	that	that	ADV
ajst-26901	23	14	is	is	ADV
ajst-26901	23	15	,	,	PUNCT
ajst-26901	23	16	the	the	DET
ajst-26901	23	17	search	search	NOUN
ajst-26901	23	18	efficiency	efficiency	NOUN
ajst-26901	23	19	is	be	AUX
ajst-26901	23	20	low	low	ADJ
ajst-26901	23	21	and	and	CCONJ
ajst-26901	23	22	it	it	PRON
ajst-26901	23	23	is	be	AUX
ajst-26901	23	24	easy	easy	ADJ
ajst-26901	23	25	to	to	PART
ajst-26901	23	26	fall	fall	VERB
ajst-26901	23	27	into	into	ADP
ajst-26901	23	28	the	the	DET
ajst-26901	23	29	local	local	ADJ
ajst-26901	23	30	optimal	optimal	ADJ
ajst-26901	23	31	solution	solution	NOUN
ajst-26901	23	32	.	.	PUNCT
ajst-26901	24	1	therefore	therefore	ADV
ajst-26901	24	2	,	,	PUNCT
ajst-26901	24	3	in	in	ADP
ajst-26901	24	4	practical	practical	ADJ
ajst-26901	24	5	application	application	NOUN
ajst-26901	24	6	,	,	PUNCT
ajst-26901	24	7	it	it	PRON
ajst-26901	24	8	is	be	AUX
ajst-26901	24	9	necessary	necessary	ADJ
ajst-26901	24	10	to	to	PART
ajst-26901	24	11	set	set	VERB
ajst-26901	24	12	up	up	ADP
ajst-26901	24	13	a	a	DET
ajst-26901	24	14	reasonable	reasonable	ADJ
ajst-26901	24	15	scattering	scatter	VERB
ajst-26901	24	16	strategy	strategy	NOUN
ajst-26901	24	17	to	to	PART
ajst-26901	24	18	improve	improve	VERB
ajst-26901	24	19	the	the	DET
ajst-26901	24	20	search	search	NOUN
ajst-26901	24	21	efficiency	efficiency	NOUN
ajst-26901	24	22	and	and	CCONJ
ajst-26901	24	23	global	global	ADJ
ajst-26901	24	24	optimization	optimization	NOUN
ajst-26901	24	25	ability	ability	NOUN
ajst-26901	24	26	.	.	PUNCT
ajst-26901	25	1	gradient	gradient	NOUN
ajst-26901	25	2	-	-	PUNCT
ajst-26901	25	3	based	base	VERB
ajst-26901	25	4	optimization	optimization	NOUN
ajst-26901	25	5	algorithm	algorithm	NOUN
ajst-26901	25	6	is	be	AUX
ajst-26901	25	7	a	a	DET
ajst-26901	25	8	method	method	NOUN
ajst-26901	25	9	to	to	PART
ajst-26901	25	10	guide	guide	VERB
ajst-26901	25	11	the	the	DET
ajst-26901	25	12	search	search	NOUN
ajst-26901	25	13	direction	direction	NOUN
ajst-26901	25	14	by	by	ADP
ajst-26901	25	15	using	use	VERB
ajst-26901	25	16	the	the	DET
ajst-26901	25	17	gradient	gradient	ADJ
ajst-26901	25	18	information	information	NOUN
ajst-26901	25	19	of	of	ADP
ajst-26901	25	20	the	the	DET
ajst-26901	25	21	objective	objective	ADJ
ajst-26901	25	22	function	function	NOUN
ajst-26901	25	23	about	about	ADP
ajst-26901	25	24	the	the	DET
ajst-26901	25	25	design	design	NOUN
ajst-26901	25	26	variables	variable	NOUN
ajst-26901	25	27	[	[	X
ajst-26901	25	28	6	6	NUM
ajst-26901	25	29	]	]	PUNCT
ajst-26901	25	30	.	.	PUNCT
ajst-26901	26	1	this	this	DET
ajst-26901	26	2	kind	kind	NOUN
ajst-26901	26	3	of	of	ADP
ajst-26901	26	4	algorithm	algorithm	NOUN
ajst-26901	26	5	usually	usually	ADV
ajst-26901	26	6	has	have	VERB
ajst-26901	26	7	high	high	ADJ
ajst-26901	26	8	convergence	convergence	NOUN
ajst-26901	26	9	speed	speed	NOUN
ajst-26901	26	10	and	and	CCONJ
ajst-26901	26	11	accuracy	accuracy	NOUN
ajst-26901	26	12	,	,	PUNCT
ajst-26901	26	13	and	and	CCONJ
ajst-26901	26	14	is	be	AUX
ajst-26901	26	15	especially	especially	ADV
ajst-26901	26	16	suitable	suitable	ADJ
ajst-26901	26	17	for	for	ADP
ajst-26901	26	18	the	the	DET
ajst-26901	26	19	case	case	NOUN
ajst-26901	26	20	of	of	ADP
ajst-26901	26	21	objective	objective	ADJ
ajst-26901	26	22	function	function	NOUN
ajst-26901	26	23	continuously	continuously	ADV
ajst-26901	26	24	differentiable	differentiable	VERB
ajst-26901	26	25	.	.	PUNCT
ajst-26901	27	1	common	common	ADJ
ajst-26901	27	2	optimization	optimization	NOUN
ajst-26901	27	3	algorithms	algorithm	NOUN
ajst-26901	27	4	based	base	VERB
ajst-26901	27	5	on	on	ADP
ajst-26901	27	6	gradient	gradient	NOUN
ajst-26901	27	7	include	include	VERB
ajst-26901	27	8	gradient	gradient	ADJ
ajst-26901	27	9	descent	descent	NOUN
ajst-26901	27	10	method	method	NOUN
ajst-26901	27	11	and	and	CCONJ
ajst-26901	27	12	newton	newton	PROPN
ajst-26901	27	13	method	method	NOUN
ajst-26901	28	1	[	[	X
ajst-26901	28	2	7	7	NUM
ajst-26901	28	3	-	-	SYM
ajst-26901	28	4	8	8	NUM
ajst-26901	28	5	]	]	PUNCT
ajst-26901	28	6	.	.	PUNCT
ajst-26901	29	1	however	however	ADV
ajst-26901	29	2	,	,	PUNCT
ajst-26901	29	3	the	the	DET
ajst-26901	29	4	gradient	gradient	NOUN
ajst-26901	29	5	method	method	NOUN
ajst-26901	29	6	may	may	AUX
ajst-26901	29	7	fall	fall	VERB
ajst-26901	29	8	into	into	ADP
ajst-26901	29	9	local	local	ADJ
ajst-26901	29	10	optimum	optimum	NOUN
ajst-26901	29	11	when	when	SCONJ
ajst-26901	29	12	dealing	deal	VERB
ajst-26901	29	13	with	with	ADP
ajst-26901	29	14	non	non	ADJ
ajst-26901	29	15	-	-	ADJ
ajst-26901	29	16	convex	convex	ADJ
ajst-26901	29	17	problems	problem	NOUN
ajst-26901	29	18	or	or	CCONJ
ajst-26901	29	19	problems	problem	NOUN
ajst-26901	29	20	with	with	ADP
ajst-26901	29	21	multiple	multiple	ADJ
ajst-26901	29	22	local	local	ADJ
ajst-26901	29	23	optimum	optimum	ADJ
ajst-26901	29	24	solutions	solution	NOUN
ajst-26901	29	25	,	,	PUNCT
ajst-26901	29	26	so	so	SCONJ
ajst-26901	29	27	it	it	PRON
ajst-26901	29	28	needs	need	VERB
ajst-26901	29	29	to	to	PART
ajst-26901	29	30	be	be	AUX
ajst-26901	29	31	combined	combine	VERB
ajst-26901	29	32	with	with	ADP
ajst-26901	29	33	other	other	ADJ
ajst-26901	29	34	strategies	strategy	NOUN
ajst-26901	29	35	to	to	PART
ajst-26901	29	36	improve	improve	VERB
ajst-26901	29	37	the	the	DET
ajst-26901	29	38	global	global	ADJ
ajst-26901	29	39	optimization	optimization	NOUN
ajst-26901	29	40	ability	ability	NOUN
ajst-26901	29	41	.	.	PUNCT
ajst-26901	30	1	heuristic	heuristic	ADJ
ajst-26901	30	2	optimization	optimization	NOUN
ajst-26901	30	3	algorithm	algorithm	NOUN
ajst-26901	30	4	is	be	AUX
ajst-26901	30	5	a	a	DET
ajst-26901	30	6	kind	kind	NOUN
ajst-26901	30	7	of	of	ADP
ajst-26901	30	8	algorithm	algorithm	NOUN
ajst-26901	30	9	based	base	VERB
ajst-26901	30	10	on	on	ADP
ajst-26901	30	11	intuitive	intuitive	ADJ
ajst-26901	30	12	or	or	CCONJ
ajst-26901	30	13	empirical	empirical	ADJ
ajst-26901	30	14	construction	construction	NOUN
ajst-26901	30	15	,	,	PUNCT
ajst-26901	30	16	which	which	PRON
ajst-26901	30	17	can	can	AUX
ajst-26901	30	18	give	give	VERB
ajst-26901	30	19	a	a	DET
ajst-26901	30	20	feasible	feasible	ADJ
ajst-26901	30	21	solution	solution	NOUN
ajst-26901	30	22	to	to	ADP
ajst-26901	30	23	the	the	DET
ajst-26901	30	24	problem	problem	NOUN
ajst-26901	30	25	within	within	ADP
ajst-26901	30	26	acceptable	acceptable	ADJ
ajst-26901	30	27	time	time	NOUN
ajst-26901	30	28	and	and	CCONJ
ajst-26901	30	29	space	space	NOUN
ajst-26901	30	30	complexity	complexity	NOUN
ajst-26901	30	31	,	,	PUNCT
ajst-26901	30	32	but	but	CCONJ
ajst-26901	30	33	it	it	PRON
ajst-26901	30	34	may	may	AUX
ajst-26901	30	35	not	not	PART
ajst-26901	30	36	guarantee	guarantee	VERB
ajst-26901	30	37	the	the	DET
ajst-26901	30	38	optimality	optimality	NOUN
ajst-26901	30	39	of	of	ADP
ajst-26901	30	40	the	the	DET
ajst-26901	30	41	obtained	obtain	VERB
ajst-26901	30	42	solution	solution	NOUN
ajst-26901	30	43	.	.	PUNCT
ajst-26901	31	1	this	this	DET
ajst-26901	31	2	kind	kind	NOUN
ajst-26901	31	3	of	of	ADP
ajst-26901	31	4	algorithm	algorithm	NOUN
ajst-26901	31	5	usually	usually	ADV
ajst-26901	31	6	has	have	VERB
ajst-26901	31	7	strong	strong	ADJ
ajst-26901	31	8	global	global	ADJ
ajst-26901	31	9	optimization	optimization	NOUN
ajst-26901	31	10	ability	ability	NOUN
ajst-26901	31	11	and	and	CCONJ
ajst-26901	31	12	good	good	ADJ
ajst-26901	31	13	adaptability	adaptability	NOUN
ajst-26901	31	14	,	,	PUNCT
ajst-26901	31	15	especially	especially	ADV
ajst-26901	31	16	suitable	suitable	ADJ
ajst-26901	31	17	for	for	ADP
ajst-26901	31	18	dealing	deal	VERB
ajst-26901	31	19	with	with	ADP
ajst-26901	31	20	complex	complex	ADJ
ajst-26901	31	21	nonlinear	nonlinear	ADJ
ajst-26901	31	22	,	,	PUNCT
ajst-26901	31	23	multipeak	multipeak	NOUN
ajst-26901	31	24	and	and	CCONJ
ajst-26901	31	25	other	other	ADJ
ajst-26901	31	26	optimization	optimization	NOUN
ajst-26901	31	27	problems	problem	NOUN
ajst-26901	31	28	.	.	PUNCT
ajst-26901	32	1	common	common	ADJ
ajst-26901	32	2	heuristic	heuristic	ADJ
ajst-26901	32	3	optimization	optimization	NOUN
ajst-26901	32	4	algorithms	algorithm	NOUN
ajst-26901	32	5	include	include	VERB
ajst-26901	32	6	simulated	simulate	VERB
ajst-26901	32	7	annealing	anneal	VERB
ajst-26901	32	8	algorithm	algorithm	NOUN
ajst-26901	32	9	,	,	PUNCT
ajst-26901	32	10	genetic	genetic	ADJ
ajst-26901	32	11	algorithm	algorithm	NOUN
ajst-26901	32	12	(	(	PUNCT
ajst-26901	32	13	ga	ga	NOUN
ajst-26901	32	14	)	)	PUNCT
ajst-26901	32	15	and	and	CCONJ
ajst-26901	32	16	ant	ant	ADJ
ajst-26901	32	17	colony	colony	NOUN
ajst-26901	32	18	algorithm	algorithm	NOUN
ajst-26901	32	19	[	[	X
ajst-26901	32	20	9	9	NUM
ajst-26901	32	21	-	-	SYM
ajst-26901	32	22	11	11	NUM
ajst-26901	32	23	]	]	PUNCT
ajst-26901	32	24	.	.	PUNCT
ajst-26901	33	1	these	these	DET
ajst-26901	33	2	algorithms	algorithm	NOUN
ajst-26901	33	3	search	search	VERB
ajst-26901	33	4	for	for	ADP
ajst-26901	33	5	the	the	DET
ajst-26901	33	6	optimal	optimal	ADJ
ajst-26901	33	7	solution	solution	NOUN
ajst-26901	33	8	by	by	ADP
ajst-26901	33	9	simulating	simulate	VERB
ajst-26901	33	10	natural	natural	ADJ
ajst-26901	33	11	processes	process	NOUN
ajst-26901	33	12	or	or	CCONJ
ajst-26901	33	13	biological	biological	ADJ
ajst-26901	33	14	behaviors	behavior	NOUN
ajst-26901	33	15	,	,	PUNCT
ajst-26901	33	16	which	which	PRON
ajst-26901	33	17	have	have	VERB
ajst-26901	33	18	high	high	ADJ
ajst-26901	33	19	practical	practical	ADJ
ajst-26901	33	20	value	value	NOUN
ajst-26901	33	21	and	and	CCONJ
ajst-26901	33	22	broad	broad	ADJ
ajst-26901	33	23	application	application	NOUN
ajst-26901	33	24	prospects	prospect	NOUN
ajst-26901	33	25	.	.	PUNCT
ajst-26901	34	1	152	152	NUM
ajst-26901	34	2	3	3	NUM
ajst-26901	34	3	.	.	NOUN
ajst-26901	34	4	case	case	NOUN
ajst-26901	34	5	analysis	analysis	NOUN
ajst-26901	34	6	of	of	ADP
ajst-26901	34	7	application	application	NOUN
ajst-26901	34	8	of	of	ADP
ajst-26901	34	9	mathematical	mathematical	ADJ
ajst-26901	34	10	optimization	optimization	NOUN
ajst-26901	34	11	method	method	NOUN
ajst-26901	34	12	in	in	ADP
ajst-26901	34	13	structural	structural	ADJ
ajst-26901	34	14	mechanics	mechanic	NOUN
ajst-26901	34	15	design	design	VERB
ajst-26901	34	16	3.1	3.1	NUM
ajst-26901	34	17	.	.	PUNCT
ajst-26901	35	1	problem	problem	NOUN
ajst-26901	35	2	description	description	NOUN
ajst-26901	35	3	and	and	CCONJ
ajst-26901	35	4	model	model	NOUN
ajst-26901	35	5	building	building	NOUN
ajst-26901	35	6	in	in	ADP
ajst-26901	35	7	the	the	DET
ajst-26901	35	8	design	design	NOUN
ajst-26901	35	9	of	of	ADP
ajst-26901	35	10	structural	structural	ADJ
ajst-26901	35	11	mechanics	mechanic	NOUN
ajst-26901	35	12	,	,	PUNCT
ajst-26901	35	13	a	a	DET
ajst-26901	35	14	kind	kind	NOUN
ajst-26901	35	15	of	of	ADP
ajst-26901	35	16	problem	problem	NOUN
ajst-26901	35	17	often	often	ADV
ajst-26901	35	18	encountered	encounter	VERB
ajst-26901	35	19	is	be	AUX
ajst-26901	35	20	how	how	SCONJ
ajst-26901	35	21	to	to	PART
ajst-26901	35	22	minimize	minimize	VERB
ajst-26901	35	23	the	the	DET
ajst-26901	35	24	weight	weight	NOUN
ajst-26901	35	25	of	of	ADP
ajst-26901	35	26	the	the	DET
ajst-26901	35	27	structure	structure	NOUN
ajst-26901	35	28	under	under	ADP
ajst-26901	35	29	the	the	DET
ajst-26901	35	30	constraints	constraint	NOUN
ajst-26901	35	31	of	of	ADP
ajst-26901	35	32	structural	structural	ADJ
ajst-26901	35	33	strength	strength	NOUN
ajst-26901	35	34	,	,	PUNCT
ajst-26901	35	35	stiffness	stiffness	NOUN
ajst-26901	35	36	and	and	CCONJ
ajst-26901	35	37	stability	stability	NOUN
ajst-26901	35	38	.	.	PUNCT
ajst-26901	36	1	this	this	DET
ajst-26901	36	2	kind	kind	NOUN
ajst-26901	36	3	of	of	ADP
ajst-26901	36	4	problems	problem	NOUN
ajst-26901	36	5	usually	usually	ADV
ajst-26901	36	6	have	have	VERB
ajst-26901	36	7	complex	complex	ADJ
ajst-26901	36	8	characteristics	characteristic	NOUN
ajst-26901	36	9	such	such	ADJ
ajst-26901	36	10	as	as	ADP
ajst-26901	36	11	high	high	ADJ
ajst-26901	36	12	nonlinearity	nonlinearity	NOUN
ajst-26901	36	13	and	and	CCONJ
ajst-26901	36	14	multi	multi	NOUN
ajst-26901	36	15	-	-	NOUN
ajst-26901	36	16	peaks	peak	NOUN
ajst-26901	36	17	,	,	PUNCT
ajst-26901	36	18	and	and	CCONJ
ajst-26901	36	19	it	it	PRON
ajst-26901	36	20	is	be	AUX
ajst-26901	36	21	often	often	ADV
ajst-26901	36	22	difficult	difficult	ADJ
ajst-26901	36	23	for	for	SCONJ
ajst-26901	36	24	traditional	traditional	ADJ
ajst-26901	36	25	optimization	optimization	NOUN
ajst-26901	36	26	methods	method	NOUN
ajst-26901	36	27	to	to	PART
ajst-26901	36	28	find	find	VERB
ajst-26901	36	29	the	the	DET
ajst-26901	36	30	global	global	ADJ
ajst-26901	36	31	optimal	optimal	ADJ
ajst-26901	36	32	solution	solution	NOUN
ajst-26901	36	33	.	.	PUNCT
ajst-26901	37	1	therefore	therefore	ADV
ajst-26901	37	2	,	,	PUNCT
ajst-26901	37	3	the	the	DET
ajst-26901	37	4	heuristic	heuristic	ADJ
ajst-26901	37	5	algorithm	algorithm	NOUN
ajst-26901	37	6	is	be	AUX
ajst-26901	37	7	introduced	introduce	VERB
ajst-26901	37	8	to	to	PART
ajst-26901	37	9	optimize	optimize	VERB
ajst-26901	37	10	the	the	DET
ajst-26901	37	11	structure	structure	NOUN
ajst-26901	37	12	design	design	NOUN
ajst-26901	37	13	.	.	PUNCT
ajst-26901	38	1	taking	take	VERB
ajst-26901	38	2	the	the	DET
ajst-26901	38	3	truss	truss	ADJ
ajst-26901	38	4	structure	structure	NOUN
ajst-26901	38	5	as	as	ADP
ajst-26901	38	6	an	an	DET
ajst-26901	38	7	example	example	NOUN
ajst-26901	38	8	,	,	PUNCT
ajst-26901	38	9	it	it	PRON
ajst-26901	38	10	is	be	AUX
ajst-26901	38	11	assumed	assume	VERB
ajst-26901	38	12	that	that	SCONJ
ajst-26901	38	13	the	the	DET
ajst-26901	38	14	truss	truss	NOUN
ajst-26901	38	15	is	be	AUX
ajst-26901	38	16	composed	compose	VERB
ajst-26901	38	17	of	of	ADP
ajst-26901	38	18	n	n	DET
ajst-26901	38	19	members	member	NOUN
ajst-26901	38	20	,	,	PUNCT
ajst-26901	38	21	the	the	DET
ajst-26901	38	22	cross	cross	ADJ
ajst-26901	38	23	-	-	ADJ
ajst-26901	38	24	sectional	sectional	ADJ
ajst-26901	38	25	area	area	NOUN
ajst-26901	38	26	ia	ia	PROPN
ajst-26901	38	27	of	of	ADP
ajst-26901	38	28	each	each	DET
ajst-26901	38	29	member	member	NOUN
ajst-26901	38	30	is	be	AUX
ajst-26901	38	31	the	the	DET
ajst-26901	38	32	design	design	NOUN
ajst-26901	38	33	variable	variable	NOUN
ajst-26901	38	34	,	,	PUNCT
ajst-26901	38	35	and	and	CCONJ
ajst-26901	38	36	the	the	DET
ajst-26901	38	37	total	total	ADJ
ajst-26901	38	38	weight	weight	NOUN
ajst-26901	38	39	w	w	NOUN
ajst-26901	38	40	of	of	ADP
ajst-26901	38	41	the	the	DET
ajst-26901	38	42	structure	structure	NOUN
ajst-26901	38	43	is	be	AUX
ajst-26901	38	44	the	the	DET
ajst-26901	38	45	objective	objective	ADJ
ajst-26901	38	46	function	function	NOUN
ajst-26901	38	47	,	,	PUNCT
ajst-26901	38	48	namely	namely	ADV
ajst-26901	38	49	:	:	PUNCT
ajst-26901	38	50			PUNCT
ajst-26901	39	1			VERB
ajst-26901	39	2	n	n	INTJ
ajst-26901	39	3	i	i	NOUN
ajst-26901	39	4	iii	iii	PROPN
ajst-26901	39	5	law	law	NOUN
ajst-26901	39	6	1	1	NUM
ajst-26901	39	7			NOUN
ajst-26901	39	8	(	(	PUNCT
ajst-26901	39	9	1	1	NUM
ajst-26901	39	10	)	)	PUNCT
ajst-26901	39	11	where	where	SCONJ
ajst-26901	39	12	ii	ii	PROPN
ajst-26901	39	13	l,	l,	X
ajst-26901	39	14	is	be	AUX
ajst-26901	39	15	the	the	DET
ajst-26901	39	16	density	density	NOUN
ajst-26901	39	17	and	and	CCONJ
ajst-26901	39	18	length	length	NOUN
ajst-26901	39	19	of	of	ADP
ajst-26901	39	20	the	the	DET
ajst-26901	39	21	i	i	PROPN
ajst-26901	39	22	bar	bar	NOUN
ajst-26901	39	23	,	,	PUNCT
ajst-26901	39	24	respectively	respectively	ADV
ajst-26901	39	25	.	.	PUNCT
ajst-26901	40	1	in	in	ADP
ajst-26901	40	2	addition	addition	NOUN
ajst-26901	40	3	,	,	PUNCT
ajst-26901	40	4	the	the	DET
ajst-26901	40	5	displacement	displacement	NOUN
ajst-26901	40	6	constraint	constraint	NOUN
ajst-26901	40	7	and	and	CCONJ
ajst-26901	40	8	stress	stress	NOUN
ajst-26901	40	9	constraint	constraint	NOUN
ajst-26901	40	10	of	of	ADP
ajst-26901	40	11	the	the	DET
ajst-26901	40	12	structure	structure	NOUN
ajst-26901	40	13	should	should	AUX
ajst-26901	40	14	be	be	AUX
ajst-26901	40	15	considered	consider	VERB
ajst-26901	40	16	.	.	PUNCT
ajst-26901	41	1	where	where	SCONJ
ajst-26901	41	2	the	the	DET
ajst-26901	41	3	displacement	displacement	NOUN
ajst-26901	41	4	and	and	CCONJ
ajst-26901	41	5	stress	stress	NOUN
ajst-26901	41	6	constraints	constraint	NOUN
ajst-26901	41	7	can	can	AUX
ajst-26901	41	8	be	be	AUX
ajst-26901	41	9	expressed	express	VERB
ajst-26901	41	10	as	as	ADP
ajst-26901	41	11	:	:	PUNCT
ajst-26901	41	12			NOUN
ajst-26901	41	13			PROPN
ajst-26901	41	14			NOUN
ajst-26901	41	15			NOUN
ajst-26901	41	16			NUM
ajst-26901	41	17			ADV
ajst-26901	41	18			VERB
ajst-26901	41	19			ADJ
ajst-26901	41	20	,	,	PUNCT
ajst-26901	41	21	n,,i	n,,i	NOUN
ajst-26901	41	22	,	,	PUNCT
ajst-26901	41	23	σσ	σσ	ADV
ajst-26901	41	24	,	,	PUNCT
ajst-26901	41	25	m,,j	m,,j	NOUN
ajst-26901	41	26	,	,	PUNCT
ajst-26901	41	27	uu	uu	X
ajst-26901	41	28	i	i	PROPN
ajst-26901	41	29	,	,	PUNCT
ajst-26901	41	30	i	i	PRON
ajst-26901	41	31	uj	uj	VERB
ajst-26901	41	32	,	,	PUNCT
ajst-26901	41	33	j	j	PROPN
ajst-26901	41	34			NOUN
ajst-26901	41	35			NOUN
ajst-26901	41	36	21	21	NUM
ajst-26901	41	37	21	21	NUM
ajst-26901	41	38	max	max	PROPN
ajst-26901	41	39	max	max	PROPN
ajst-26901	41	40	(	(	PUNCT
ajst-26901	41	41	2	2	NUM
ajst-26901	41	42	)	)	PUNCT
ajst-26901	41	43	where	where	SCONJ
ajst-26901	41	44	ju	ju	PROPN
ajst-26901	41	45	is	be	AUX
ajst-26901	41	46	the	the	DET
ajst-26901	41	47	displacement	displacement	NOUN
ajst-26901	41	48	of	of	ADP
ajst-26901	41	49	the	the	DET
ajst-26901	41	50	j	j	PROPN
ajst-26901	41	51	degree	degree	NOUN
ajst-26901	41	52	of	of	ADP
ajst-26901	41	53	freedom	freedom	NOUN
ajst-26901	41	54	and	and	CCONJ
ajst-26901	41	55	maxj	maxj	NOUN
ajst-26901	41	56	,	,	PUNCT
ajst-26901	41	57	u	u	PROPN
ajst-26901	41	58	is	be	AUX
ajst-26901	41	59	the	the	DET
ajst-26901	41	60	maximum	maximum	ADJ
ajst-26901	41	61	allowable	allowable	ADJ
ajst-26901	41	62	displacement	displacement	NOUN
ajst-26901	41	63	.	.	PUNCT
ajst-26901	42	1	iσ	iσ	PROPN
ajst-26901	42	2	is	be	AUX
ajst-26901	42	3	the	the	DET
ajst-26901	42	4	stress	stress	NOUN
ajst-26901	42	5	of	of	ADP
ajst-26901	42	6	the	the	DET
ajst-26901	42	7	i	i	PROPN
ajst-26901	42	8	bar	bar	NOUN
ajst-26901	42	9	,	,	PUNCT
ajst-26901	42	10	and	and	CCONJ
ajst-26901	42	11	maxi	maxi	ADJ
ajst-26901	42	12	,	,	PUNCT
ajst-26901	42	13	σ	σ	PROPN
ajst-26901	42	14	is	be	AUX
ajst-26901	42	15	the	the	DET
ajst-26901	42	16	maximum	maximum	ADJ
ajst-26901	42	17	allowable	allowable	ADJ
ajst-26901	42	18	stress	stress	NOUN
ajst-26901	42	19	.	.	PUNCT
ajst-26901	43	1	3.2	3.2	NUM
ajst-26901	43	2	.	.	PUNCT
ajst-26901	44	1	the	the	DET
ajst-26901	44	2	application	application	NOUN
ajst-26901	44	3	of	of	ADP
ajst-26901	44	4	heuristic	heuristic	ADJ
ajst-26901	44	5	algorithm	algorithm	NOUN
ajst-26901	44	6	aiming	aim	VERB
ajst-26901	44	7	at	at	ADP
ajst-26901	44	8	the	the	DET
ajst-26901	44	9	above	above	ADJ
ajst-26901	44	10	optimization	optimization	NOUN
ajst-26901	44	11	problems	problem	NOUN
ajst-26901	44	12	,	,	PUNCT
ajst-26901	44	13	ga	ga	PROPN
ajst-26901	44	14	is	be	AUX
ajst-26901	44	15	chosen	choose	VERB
ajst-26901	44	16	as	as	ADP
ajst-26901	44	17	a	a	DET
ajst-26901	44	18	heuristic	heuristic	ADJ
ajst-26901	44	19	optimization	optimization	NOUN
ajst-26901	44	20	algorithm	algorithm	NOUN
ajst-26901	44	21	to	to	PART
ajst-26901	44	22	solve	solve	VERB
ajst-26901	44	23	them	they	PRON
ajst-26901	44	24	.	.	PUNCT
ajst-26901	45	1	ga	ga	PROPN
ajst-26901	45	2	can	can	AUX
ajst-26901	45	3	find	find	VERB
ajst-26901	45	4	the	the	DET
ajst-26901	45	5	global	global	ADJ
ajst-26901	45	6	optimal	optimal	ADJ
ajst-26901	45	7	solution	solution	NOUN
ajst-26901	45	8	in	in	ADP
ajst-26901	45	9	a	a	DET
ajst-26901	45	10	complex	complex	ADJ
ajst-26901	45	11	search	search	NOUN
ajst-26901	45	12	space	space	NOUN
ajst-26901	45	13	by	by	ADP
ajst-26901	45	14	simulating	simulate	VERB
ajst-26901	45	15	natural	natural	ADJ
ajst-26901	45	16	selection	selection	NOUN
ajst-26901	45	17	and	and	CCONJ
ajst-26901	45	18	genetic	genetic	ADJ
ajst-26901	45	19	mechanism	mechanism	NOUN
ajst-26901	45	20	.	.	PUNCT
ajst-26901	46	1	using	use	VERB
ajst-26901	46	2	real	real	ADJ
ajst-26901	46	3	coding	coding	NOUN
ajst-26901	46	4	method	method	NOUN
ajst-26901	46	5	,	,	PUNCT
ajst-26901	46	6	the	the	DET
ajst-26901	46	7	cross	cross	ADJ
ajst-26901	46	8	-	-	ADJ
ajst-26901	46	9	sectional	sectional	ADJ
ajst-26901	46	10	area	area	NOUN
ajst-26901	46	11	ia	ia	PROPN
ajst-26901	46	12	of	of	ADP
ajst-26901	46	13	each	each	DET
ajst-26901	46	14	bar	bar	NOUN
ajst-26901	46	15	is	be	AUX
ajst-26901	46	16	directly	directly	ADV
ajst-26901	46	17	taken	take	VERB
ajst-26901	46	18	as	as	ADP
ajst-26901	46	19	the	the	DET
ajst-26901	46	20	gene	gene	NOUN
ajst-26901	46	21	value	value	NOUN
ajst-26901	46	22	to	to	PART
ajst-26901	46	23	form	form	VERB
ajst-26901	46	24	a	a	DET
ajst-26901	46	25	gene	gene	NOUN
ajst-26901	46	26	string	string	NOUN
ajst-26901	46	27	with	with	ADP
ajst-26901	46	28	a	a	DET
ajst-26901	46	29	length	length	NOUN
ajst-26901	46	30	of	of	ADP
ajst-26901	46	31	n	n	NOUN
ajst-26901	46	32	.	.	PUNCT
ajst-26901	47	1	since	since	SCONJ
ajst-26901	47	2	the	the	DET
ajst-26901	47	3	objective	objective	ADJ
ajst-26901	47	4	function	function	NOUN
ajst-26901	47	5	is	be	AUX
ajst-26901	47	6	a	a	DET
ajst-26901	47	7	minimization	minimization	NOUN
ajst-26901	47	8	problem	problem	NOUN
ajst-26901	47	9	,	,	PUNCT
ajst-26901	47	10	the	the	DET
ajst-26901	47	11	fitness	fitness	NOUN
ajst-26901	47	12	function	function	NOUN
ajst-26901	47	13	can	can	AUX
ajst-26901	47	14	be	be	AUX
ajst-26901	47	15	designed	design	VERB
ajst-26901	47	16	as	as	ADP
ajst-26901	47	17	:	:	PUNCT
ajst-26901	47	18	w	w	PROPN
ajst-26901	47	19	f	f	PROPN
ajst-26901	47	20			ADV
ajst-26901	47	21			NUM
ajst-26901	47	22	1	1	NUM
ajst-26901	47	23	1	1	NUM
ajst-26901	47	24	(	(	PUNCT
ajst-26901	47	25	3	3	NUM
ajst-26901	47	26	)	)	PUNCT
ajst-26901	47	27	at	at	ADP
ajst-26901	47	28	the	the	DET
ajst-26901	47	29	same	same	ADJ
ajst-26901	47	30	time	time	NOUN
ajst-26901	47	31	,	,	PUNCT
ajst-26901	47	32	in	in	ADP
ajst-26901	47	33	order	order	NOUN
ajst-26901	47	34	to	to	PART
ajst-26901	47	35	meet	meet	VERB
ajst-26901	47	36	the	the	DET
ajst-26901	47	37	displacement	displacement	NOUN
ajst-26901	47	38	and	and	CCONJ
ajst-26901	47	39	stress	stress	NOUN
ajst-26901	47	40	constraints	constraint	NOUN
ajst-26901	47	41	,	,	PUNCT
ajst-26901	47	42	a	a	DET
ajst-26901	47	43	penalty	penalty	NOUN
ajst-26901	47	44	term	term	NOUN
ajst-26901	47	45	is	be	AUX
ajst-26901	47	46	introduced	introduce	VERB
ajst-26901	47	47	into	into	ADP
ajst-26901	47	48	the	the	DET
ajst-26901	47	49	fitness	fitness	NOUN
ajst-26901	47	50	function	function	NOUN
ajst-26901	47	51	:	:	PUNCT
ajst-26901	48	1	ppw	ppw	PROPN
ajst-26901	48	2	f	f	PROPN
ajst-26901	48	3	u	u	PROPN
ajst-26901	48	4			ADV
ajst-26901	48	5			NUM
ajst-26901	48	6	1	1	NUM
ajst-26901	48	7	1	1	NUM
ajst-26901	48	8	(	(	PUNCT
ajst-26901	48	9	4	4	NUM
ajst-26901	48	10	)	)	PUNCT
ajst-26901	48	11	where	where	SCONJ
ajst-26901	48	12	ppu	ppu	PROPN
ajst-26901	48	13	,	,	PUNCT
ajst-26901	48	14	is	be	AUX
ajst-26901	48	15	the	the	DET
ajst-26901	48	16	penalty	penalty	NOUN
ajst-26901	48	17	term	term	NOUN
ajst-26901	48	18	of	of	ADP
ajst-26901	48	19	displacement	displacement	NOUN
ajst-26901	48	20	and	and	CCONJ
ajst-26901	48	21	stress	stress	NOUN
ajst-26901	48	22	respectively	respectively	ADV
ajst-26901	48	23	,	,	PUNCT
ajst-26901	48	24	which	which	PRON
ajst-26901	48	25	can	can	AUX
ajst-26901	48	26	be	be	AUX
ajst-26901	48	27	defined	define	VERB
ajst-26901	48	28	as	as	ADP
ajst-26901	48	29	:	:	PUNCT
ajst-26901	48	30			NOUN
ajst-26901	48	31			SYM
ajst-26901	48	32			NOUN
ajst-26901	48	33			PROPN
ajst-26901	48	34			X
ajst-26901	48	35			NUM
ajst-26901	48	36			PROPN
ajst-26901	48	37			PROPN
ajst-26901	48	38			PROPN
ajst-26901	48	39	n	n	CCONJ
ajst-26901	48	40	i	i	PRON
ajst-26901	48	41	i	i	PRON
ajst-26901	48	42	,	,	PUNCT
ajst-26901	48	43	iσ	iσ	VERB
ajst-26901	48	44	m	m	PROPN
ajst-26901	48	45	j	j	PROPN
ajst-26901	48	46	j	j	PROPN
ajst-26901	48	47	,	,	PUNCT
ajst-26901	48	48	ju	ju	PROPN
ajst-26901	48	49	σ	σ	PROPN
ajst-26901	48	50	,	,	PUNCT
ajst-26901	48	51	σp	σp	ADP
ajst-26901	48	52	u	u	NOUN
ajst-26901	48	53	,	,	PUNCT
ajst-26901	48	54	up	up	ADV
ajst-26901	48	55	u	u	NOUN
ajst-26901	48	56	1	1	NUM
ajst-26901	48	57	2	2	NUM
ajst-26901	48	58	max	max	NOUN
ajst-26901	48	59	1	1	NUM
ajst-26901	48	60	2	2	NUM
ajst-26901	48	61	max	max	NOUN
ajst-26901	48	62	0max	0max	NUM
ajst-26901	48	63	0max	0max	NUM
ajst-26901	49	1	(	(	PUNCT
ajst-26901	49	2	5	5	X
ajst-26901	49	3	)	)	PUNCT
ajst-26901	49	4	roulette	roulette	NOUN
ajst-26901	49	5	wheel	wheel	NOUN
ajst-26901	49	6	selection	selection	NOUN
ajst-26901	49	7	strategy	strategy	NOUN
ajst-26901	49	8	is	be	AUX
ajst-26901	49	9	adopted	adopt	VERB
ajst-26901	49	10	to	to	PART
ajst-26901	49	11	select	select	VERB
ajst-26901	49	12	the	the	DET
ajst-26901	49	13	parent	parent	NOUN
ajst-26901	49	14	individuals	individual	NOUN
ajst-26901	49	15	,	,	PUNCT
ajst-26901	49	16	and	and	CCONJ
ajst-26901	49	17	offspring	offspring	NOUN
ajst-26901	49	18	individuals	individual	NOUN
ajst-26901	49	19	are	be	AUX
ajst-26901	49	20	generated	generate	VERB
ajst-26901	49	21	through	through	ADP
ajst-26901	49	22	crossover	crossover	ADP
ajst-26901	49	23	and	and	CCONJ
ajst-26901	49	24	mutation	mutation	NOUN
ajst-26901	49	25	operations	operation	NOUN
ajst-26901	49	26	.	.	PUNCT
ajst-26901	50	1	the	the	DET
ajst-26901	50	2	crossover	crossover	NOUN
ajst-26901	50	3	operation	operation	NOUN
ajst-26901	50	4	adopts	adopt	VERB
ajst-26901	50	5	two	two	NUM
ajst-26901	50	6	-	-	PUNCT
ajst-26901	50	7	point	point	NOUN
ajst-26901	50	8	crossover	crossover	NOUN
ajst-26901	50	9	,	,	PUNCT
ajst-26901	50	10	and	and	CCONJ
ajst-26901	50	11	the	the	DET
ajst-26901	50	12	mutation	mutation	NOUN
ajst-26901	50	13	operation	operation	NOUN
ajst-26901	50	14	adopts	adopt	VERB
ajst-26901	50	15	random	random	ADJ
ajst-26901	50	16	disturbance	disturbance	NOUN
ajst-26901	50	17	.	.	PUNCT
ajst-26901	51	1	after	after	ADP
ajst-26901	51	2	each	each	DET
ajst-26901	51	3	generation	generation	NOUN
ajst-26901	51	4	of	of	ADP
ajst-26901	51	5	evolution	evolution	NOUN
ajst-26901	51	6	,	,	PUNCT
ajst-26901	51	7	individuals	individual	NOUN
ajst-26901	51	8	are	be	AUX
ajst-26901	51	9	sorted	sort	VERB
ajst-26901	51	10	according	accord	VERB
ajst-26901	51	11	to	to	ADP
ajst-26901	51	12	the	the	DET
ajst-26901	51	13	fitness	fitness	NOUN
ajst-26901	51	14	function	function	NOUN
ajst-26901	51	15	value	value	NOUN
ajst-26901	51	16	,	,	PUNCT
ajst-26901	51	17	and	and	CCONJ
ajst-26901	51	18	excellent	excellent	ADJ
ajst-26901	51	19	individuals	individual	NOUN
ajst-26901	51	20	are	be	AUX
ajst-26901	51	21	selected	select	VERB
ajst-26901	51	22	to	to	PART
ajst-26901	51	23	enter	enter	VERB
ajst-26901	51	24	the	the	DET
ajst-26901	51	25	next	next	ADJ
ajst-26901	51	26	generation	generation	NOUN
ajst-26901	51	27	of	of	ADP
ajst-26901	51	28	evolution	evolution	NOUN
ajst-26901	51	29	process	process	NOUN
ajst-26901	51	30	.	.	PUNCT
ajst-26901	52	1	at	at	ADP
ajst-26901	52	2	the	the	DET
ajst-26901	52	3	same	same	ADJ
ajst-26901	52	4	time	time	NOUN
ajst-26901	52	5	,	,	PUNCT
ajst-26901	52	6	in	in	ADP
ajst-26901	52	7	order	order	NOUN
ajst-26901	52	8	to	to	PART
ajst-26901	52	9	maintain	maintain	VERB
ajst-26901	52	10	the	the	DET
ajst-26901	52	11	diversity	diversity	NOUN
ajst-26901	52	12	of	of	ADP
ajst-26901	52	13	the	the	DET
ajst-26901	52	14	population	population	NOUN
ajst-26901	52	15	,	,	PUNCT
ajst-26901	52	16	the	the	DET
ajst-26901	52	17	elite	elite	ADJ
ajst-26901	52	18	retention	retention	NOUN
ajst-26901	52	19	strategy	strategy	NOUN
ajst-26901	52	20	is	be	AUX
ajst-26901	52	21	adopted	adopt	VERB
ajst-26901	52	22	to	to	PART
ajst-26901	52	23	keep	keep	VERB
ajst-26901	52	24	the	the	DET
ajst-26901	52	25	best	good	ADJ
ajst-26901	52	26	individuals	individual	NOUN
ajst-26901	52	27	in	in	ADP
ajst-26901	52	28	each	each	DET
ajst-26901	52	29	generation	generation	NOUN
ajst-26901	52	30	directly	directly	ADV
ajst-26901	52	31	to	to	ADP
ajst-26901	52	32	the	the	DET
ajst-26901	52	33	next	next	ADJ
ajst-26901	52	34	generation	generation	NOUN
ajst-26901	52	35	.	.	PUNCT
ajst-26901	53	1	3.3	3.3	NUM
ajst-26901	53	2	.	.	PUNCT
ajst-26901	53	3	analysis	analysis	NOUN
ajst-26901	53	4	and	and	CCONJ
ajst-26901	53	5	discussion	discussion	NOUN
ajst-26901	53	6	of	of	ADP
ajst-26901	53	7	optimization	optimization	NOUN
ajst-26901	53	8	results	result	VERB
ajst-26901	53	9	through	through	ADP
ajst-26901	53	10	the	the	DET
ajst-26901	53	11	optimization	optimization	NOUN
ajst-26901	53	12	of	of	ADP
ajst-26901	53	13	ga	ga	PROPN
ajst-26901	53	14	,	,	PUNCT
ajst-26901	53	15	the	the	DET
ajst-26901	53	16	truss	truss	ADJ
ajst-26901	53	17	structure	structure	NOUN
ajst-26901	53	18	design	design	NOUN
ajst-26901	53	19	scheme	scheme	NOUN
ajst-26901	53	20	which	which	PRON
ajst-26901	53	21	satisfies	satisfy	VERB
ajst-26901	53	22	the	the	DET
ajst-26901	53	23	displacement	displacement	NOUN
ajst-26901	53	24	and	and	CCONJ
ajst-26901	53	25	stress	stress	NOUN
ajst-26901	53	26	constraints	constraint	NOUN
ajst-26901	53	27	and	and	CCONJ
ajst-26901	53	28	minimizes	minimize	VERB
ajst-26901	53	29	the	the	DET
ajst-26901	53	30	total	total	ADJ
ajst-26901	53	31	weight	weight	NOUN
ajst-26901	53	32	is	be	AUX
ajst-26901	53	33	successfully	successfully	ADV
ajst-26901	53	34	found	find	VERB
ajst-26901	53	35	.	.	PUNCT
ajst-26901	54	1	in	in	ADP
ajst-26901	54	2	the	the	DET
ajst-26901	54	3	optimization	optimization	NOUN
ajst-26901	54	4	process	process	NOUN
ajst-26901	54	5	,	,	PUNCT
ajst-26901	54	6	the	the	DET
ajst-26901	54	7	algorithm	algorithm	NOUN
ajst-26901	54	8	gradually	gradually	ADV
ajst-26901	54	9	converges	converge	VERB
ajst-26901	54	10	to	to	ADP
ajst-26901	54	11	the	the	DET
ajst-26901	54	12	global	global	ADJ
ajst-26901	54	13	optimal	optimal	ADJ
ajst-26901	54	14	solution	solution	NOUN
ajst-26901	54	15	and	and	CCONJ
ajst-26901	54	16	stabilizes	stabilize	VERB
ajst-26901	54	17	after	after	ADP
ajst-26901	54	18	a	a	DET
ajst-26901	54	19	certain	certain	ADJ
ajst-26901	54	20	number	number	NOUN
ajst-26901	54	21	of	of	ADP
ajst-26901	54	22	iterations	iteration	NOUN
ajst-26901	54	23	.	.	PUNCT
ajst-26901	55	1	the	the	DET
ajst-26901	55	2	final	final	ADJ
ajst-26901	55	3	optimization	optimization	NOUN
ajst-26901	55	4	result	result	VERB
ajst-26901	55	5	not	not	PART
ajst-26901	55	6	only	only	ADV
ajst-26901	55	7	achieves	achieve	VERB
ajst-26901	55	8	the	the	DET
ajst-26901	55	9	expected	expect	VERB
ajst-26901	55	10	goal	goal	NOUN
ajst-26901	55	11	numerically	numerically	ADV
ajst-26901	55	12	,	,	PUNCT
ajst-26901	55	13	but	but	CCONJ
ajst-26901	55	14	also	also	ADV
ajst-26901	55	15	has	have	VERB
ajst-26901	55	16	good	good	ADJ
ajst-26901	55	17	feasibility	feasibility	NOUN
ajst-26901	55	18	and	and	CCONJ
ajst-26901	55	19	stability	stability	NOUN
ajst-26901	55	20	in	in	ADP
ajst-26901	55	21	practical	practical	ADJ
ajst-26901	55	22	application	application	NOUN
ajst-26901	55	23	.	.	PUNCT
ajst-26901	56	1	the	the	DET
ajst-26901	56	2	optimized	optimize	VERB
ajst-26901	56	3	truss	truss	NOUN
ajst-26901	56	4	structure	structure	NOUN
ajst-26901	56	5	maintains	maintain	VERB
ajst-26901	56	6	sufficient	sufficient	ADJ
ajst-26901	56	7	strength	strength	NOUN
ajst-26901	56	8	and	and	CCONJ
ajst-26901	56	9	stiffness	stiffness	NOUN
ajst-26901	56	10	,	,	PUNCT
ajst-26901	56	11	and	and	CCONJ
ajst-26901	56	12	realizes	realize	VERB
ajst-26901	56	13	the	the	DET
ajst-26901	56	14	reasonable	reasonable	ADJ
ajst-26901	56	15	distribution	distribution	NOUN
ajst-26901	56	16	and	and	CCONJ
ajst-26901	56	17	efficient	efficient	ADJ
ajst-26901	56	18	utilization	utilization	NOUN
ajst-26901	56	19	of	of	ADP
ajst-26901	56	20	materials	material	NOUN
ajst-26901	56	21	.	.	PUNCT
ajst-26901	57	1	compared	compare	VERB
ajst-26901	57	2	with	with	ADP
ajst-26901	57	3	the	the	DET
ajst-26901	57	4	original	original	ADJ
ajst-26901	57	5	design	design	NOUN
ajst-26901	57	6	scheme	scheme	NOUN
ajst-26901	57	7	,	,	PUNCT
ajst-26901	57	8	the	the	DET
ajst-26901	57	9	weight	weight	NOUN
ajst-26901	57	10	of	of	ADP
ajst-26901	57	11	the	the	DET
ajst-26901	57	12	optimized	optimize	VERB
ajst-26901	57	13	structure	structure	NOUN
ajst-26901	57	14	has	have	AUX
ajst-26901	57	15	been	be	AUX
ajst-26901	57	16	significantly	significantly	ADV
ajst-26901	57	17	reduced	reduce	VERB
ajst-26901	57	18	,	,	PUNCT
ajst-26901	57	19	which	which	PRON
ajst-26901	57	20	is	be	AUX
ajst-26901	57	21	of	of	ADP
ajst-26901	57	22	great	great	ADJ
ajst-26901	57	23	significance	significance	NOUN
ajst-26901	57	24	to	to	PART
ajst-26901	57	25	improve	improve	VERB
ajst-26901	57	26	the	the	DET
ajst-26901	57	27	economy	economy	NOUN
ajst-26901	57	28	and	and	CCONJ
ajst-26901	57	29	environmental	environmental	ADJ
ajst-26901	57	30	friendliness	friendliness	NOUN
ajst-26901	57	31	of	of	ADP
ajst-26901	57	32	the	the	DET
ajst-26901	57	33	structure	structure	NOUN
ajst-26901	57	34	.	.	PUNCT
ajst-26901	58	1	the	the	DET
ajst-26901	58	2	specific	specific	ADJ
ajst-26901	58	3	optimization	optimization	NOUN
ajst-26901	58	4	results	result	NOUN
ajst-26901	58	5	are	be	AUX
ajst-26901	58	6	shown	show	VERB
ajst-26901	58	7	in	in	ADP
ajst-26901	58	8	table	table	NOUN
ajst-26901	58	9	1	1	NUM
ajst-26901	58	10	.	.	PUNCT
ajst-26901	59	1	in	in	ADP
ajst-26901	59	2	order	order	NOUN
ajst-26901	59	3	to	to	PART
ajst-26901	59	4	further	far	ADV
ajst-26901	59	5	verify	verify	VERB
ajst-26901	59	6	the	the	DET
ajst-26901	59	7	advantages	advantage	NOUN
ajst-26901	59	8	of	of	ADP
ajst-26901	59	9	ga	ga	PROPN
ajst-26901	59	10	in	in	ADP
ajst-26901	59	11	truss	truss	ADJ
ajst-26901	59	12	structure	structure	NOUN
ajst-26901	59	13	optimization	optimization	NOUN
ajst-26901	59	14	design	design	NOUN
ajst-26901	59	15	,	,	PUNCT
ajst-26901	59	16	it	it	PRON
ajst-26901	59	17	is	be	AUX
ajst-26901	59	18	compared	compare	VERB
ajst-26901	59	19	with	with	ADP
ajst-26901	59	20	gradientbased	gradientbase	VERB
ajst-26901	59	21	optimization	optimization	NOUN
ajst-26901	59	22	algorithm	algorithm	NOUN
ajst-26901	59	23	.	.	PUNCT
ajst-26901	60	1	under	under	ADP
ajst-26901	60	2	the	the	DET
ajst-26901	60	3	same	same	ADJ
ajst-26901	60	4	constraints	constraint	NOUN
ajst-26901	60	5	and	and	CCONJ
ajst-26901	60	6	initial	initial	ADJ
ajst-26901	60	7	design	design	NOUN
ajst-26901	60	8	,	,	PUNCT
ajst-26901	60	9	the	the	DET
ajst-26901	60	10	truss	truss	ADJ
ajst-26901	60	11	structure	structure	NOUN
ajst-26901	60	12	is	be	AUX
ajst-26901	60	13	optimized	optimize	VERB
ajst-26901	60	14	by	by	ADP
ajst-26901	60	15	ga	ga	PROPN
ajst-26901	60	16	and	and	CCONJ
ajst-26901	60	17	gradient	gradient	ADJ
ajst-26901	60	18	descent	descent	NOUN
ajst-26901	60	19	method	method	NOUN
ajst-26901	60	20	respectively	respectively	ADV
ajst-26901	60	21	.	.	PUNCT
ajst-26901	61	1	the	the	DET
ajst-26901	61	2	comparison	comparison	NOUN
ajst-26901	61	3	results	result	VERB
ajst-26901	61	4	show	show	VERB
ajst-26901	61	5	that	that	SCONJ
ajst-26901	61	6	ga	ga	PROPN
ajst-26901	61	7	has	have	VERB
ajst-26901	61	8	obvious	obvious	ADJ
ajst-26901	61	9	advantages	advantage	NOUN
ajst-26901	61	10	in	in	ADP
ajst-26901	61	11	global	global	ADJ
ajst-26901	61	12	optimization	optimization	NOUN
ajst-26901	61	13	ability	ability	NOUN
ajst-26901	61	14	.	.	PUNCT
ajst-26901	62	1	because	because	SCONJ
ajst-26901	62	2	ga	ga	PROPN
ajst-26901	62	3	does	do	AUX
ajst-26901	62	4	not	not	PART
ajst-26901	62	5	depend	depend	VERB
ajst-26901	62	6	on	on	ADP
ajst-26901	62	7	gradient	gradient	ADJ
ajst-26901	62	8	information	information	NOUN
ajst-26901	62	9	,	,	PUNCT
ajst-26901	62	10	it	it	PRON
ajst-26901	62	11	can	can	AUX
ajst-26901	62	12	better	well	ADV
ajst-26901	62	13	deal	deal	VERB
ajst-26901	62	14	with	with	ADP
ajst-26901	62	15	complex	complex	ADJ
ajst-26901	62	16	problems	problem	NOUN
ajst-26901	62	17	such	such	ADJ
ajst-26901	62	18	as	as	ADP
ajst-26901	62	19	nonlinearity	nonlinearity	NOUN
ajst-26901	62	20	and	and	CCONJ
ajst-26901	62	21	multi	multi	ADJ
ajst-26901	62	22	-	-	NOUN
ajst-26901	62	23	peak	peak	NOUN
ajst-26901	62	24	and	and	CCONJ
ajst-26901	62	25	avoid	avoid	VERB
ajst-26901	62	26	falling	fall	VERB
ajst-26901	62	27	into	into	ADP
ajst-26901	62	28	local	local	ADJ
ajst-26901	62	29	optimal	optimal	ADJ
ajst-26901	62	30	solution	solution	NOUN
ajst-26901	62	31	.	.	PUNCT
ajst-26901	63	1	in	in	ADP
ajst-26901	63	2	contrast	contrast	NOUN
ajst-26901	63	3	,	,	PUNCT
ajst-26901	63	4	the	the	DET
ajst-26901	63	5	gradient	gradient	ADJ
ajst-26901	63	6	descent	descent	NOUN
ajst-26901	63	7	method	method	NOUN
ajst-26901	63	8	is	be	AUX
ajst-26901	63	9	easily	easily	ADV
ajst-26901	63	10	influenced	influence	VERB
ajst-26901	63	11	by	by	ADP
ajst-26901	63	12	the	the	DET
ajst-26901	63	13	initial	initial	ADJ
ajst-26901	63	14	value	value	NOUN
ajst-26901	63	15	selection	selection	NOUN
ajst-26901	63	16	when	when	SCONJ
ajst-26901	63	17	dealing	deal	VERB
ajst-26901	63	18	with	with	ADP
ajst-26901	63	19	this	this	DET
ajst-26901	63	20	kind	kind	NOUN
ajst-26901	63	21	of	of	ADP
ajst-26901	63	22	problems	problem	NOUN
ajst-26901	63	23	,	,	PUNCT
ajst-26901	63	24	and	and	CCONJ
ajst-26901	63	25	may	may	AUX
ajst-26901	63	26	fall	fall	VERB
ajst-26901	63	27	into	into	ADP
ajst-26901	63	28	local	local	ADJ
ajst-26901	63	29	optimum	optimum	NOUN
ajst-26901	63	30	and	and	CCONJ
ajst-26901	63	31	can	can	AUX
ajst-26901	63	32	not	not	PART
ajst-26901	63	33	jump	jump	VERB
ajst-26901	63	34	out	out	ADV
ajst-26901	63	35	.	.	PUNCT
ajst-26901	64	1	figure	figure	NOUN
ajst-26901	64	2	1	1	NUM
ajst-26901	64	3	shows	show	VERB
ajst-26901	64	4	the	the	DET
ajst-26901	64	5	convergence	convergence	NOUN
ajst-26901	64	6	comparison	comparison	NOUN
ajst-26901	64	7	between	between	ADP
ajst-26901	64	8	ga	ga	PROPN
ajst-26901	64	9	and	and	CCONJ
ajst-26901	64	10	gradient	gradient	ADJ
ajst-26901	64	11	descent	descent	NOUN
ajst-26901	64	12	method	method	NOUN
ajst-26901	64	13	.	.	PUNCT
ajst-26901	65	1	153	153	NUM
ajst-26901	65	2	table	table	NOUN
ajst-26901	65	3	1	1	NUM
ajst-26901	65	4	.	.	PUNCT
ajst-26901	65	5	comparison	comparison	NOUN
ajst-26901	65	6	of	of	ADP
ajst-26901	65	7	key	key	ADJ
ajst-26901	65	8	parameters	parameter	NOUN
ajst-26901	65	9	before	before	ADP
ajst-26901	65	10	and	and	CCONJ
ajst-26901	65	11	after	after	ADP
ajst-26901	65	12	optimization	optimization	NOUN
ajst-26901	65	13	parameter	parameter	NOUN
ajst-26901	65	14	initial	initial	ADJ
ajst-26901	65	15	design	design	NOUN
ajst-26901	65	16	scheme	scheme	NOUN
ajst-26901	65	17	optimized	optimize	VERB
ajst-26901	65	18	design	design	NOUN
ajst-26901	65	19	scheme	scheme	NOUN
ajst-26901	65	20	sectional	sectional	ADJ
ajst-26901	65	21	area	area	NOUN
ajst-26901	65	22	of	of	ADP
ajst-26901	65	23	member	member	NOUN
ajst-26901	65	24	1	1	NUM
ajst-26901	65	25	(	(	PUNCT
ajst-26901	65	26	m²	m²	PROPN
ajst-26901	65	27	)	)	PUNCT
ajst-26901	65	28	0.015	0.015	NUM
ajst-26901	65	29	0.01147	0.01147	NUM
ajst-26901	65	30	sectional	sectional	ADJ
ajst-26901	65	31	area	area	NOUN
ajst-26901	65	32	of	of	ADP
ajst-26901	65	33	rod	rod	NOUN
ajst-26901	65	34	2	2	NUM
ajst-26901	65	35	(	(	PUNCT
ajst-26901	65	36	m²	m²	PROPN
ajst-26901	65	37	)	)	PUNCT
ajst-26901	65	38	0.020	0.020	NUM
ajst-26901	65	39	0.01632	0.01632	NUM
ajst-26901	65	40	sectional	sectional	ADJ
ajst-26901	65	41	area	area	NOUN
ajst-26901	65	42	of	of	ADP
ajst-26901	65	43	rod	rod	NOUN
ajst-26901	65	44	3	3	NUM
ajst-26901	65	45	(	(	PUNCT
ajst-26901	65	46	m²	m²	PROPN
ajst-26901	65	47	)	)	PUNCT
ajst-26901	65	48	0.018	0.018	NUM
ajst-26901	65	49	0.01389	0.01389	NUM
ajst-26901	65	50	...	...	PUNCT
ajst-26901	65	51	...	...	PUNCT
ajst-26901	65	52	...	...	PUNCT
ajst-26901	66	1	sectional	sectional	ADJ
ajst-26901	66	2	area	area	NOUN
ajst-26901	66	3	of	of	ADP
ajst-26901	66	4	rod	rod	NOUN
ajst-26901	66	5	n	n	CCONJ
ajst-26901	66	6	(	(	PUNCT
ajst-26901	66	7	m²	m²	PROPN
ajst-26901	66	8	)	)	PUNCT
ajst-26901	66	9	0.016	0.016	NUM
ajst-26901	66	10	0.01256	0.01256	NUM
ajst-26901	66	11	rod	rod	NOUN
ajst-26901	66	12	1	1	NUM
ajst-26901	66	13	length	length	NOUN
ajst-26901	66	14	(	(	PUNCT
ajst-26901	66	15	m	m	NOUN
ajst-26901	66	16	)	)	PUNCT
ajst-26901	66	17	5.0	5.0	NUM
ajst-26901	66	18	5.0	5.0	NUM
ajst-26901	66	19	length	length	NOUN
ajst-26901	66	20	of	of	ADP
ajst-26901	66	21	rod	rod	NOUN
ajst-26901	66	22	2	2	NUM
ajst-26901	66	23	(	(	PUNCT
ajst-26901	66	24	m	m	NOUN
ajst-26901	66	25	)	)	PUNCT
ajst-26901	66	26	6.5	6.5	NUM
ajst-26901	66	27	6.5	6.5	NUM
ajst-26901	66	28	rod	rod	NOUN
ajst-26901	66	29	3	3	NUM
ajst-26901	66	30	length	length	NOUN
ajst-26901	66	31	(	(	PUNCT
ajst-26901	66	32	m	m	NOUN
ajst-26901	66	33	)	)	PUNCT
ajst-26901	66	34	4.8	4.8	NUM
ajst-26901	66	35	4.8	4.8	NUM
ajst-26901	66	36	...	...	PUNCT
ajst-26901	66	37	...	...	PUNCT
ajst-26901	66	38	...	...	PUNCT
ajst-26901	67	1	length	length	NOUN
ajst-26901	67	2	of	of	ADP
ajst-26901	67	3	rod	rod	NOUN
ajst-26901	67	4	n	n	PROPN
ajst-26901	67	5	(	(	PUNCT
ajst-26901	67	6	m	m	NOUN
ajst-26901	67	7	)	)	PUNCT
ajst-26901	67	8	7.2	7.2	NUM
ajst-26901	67	9	7.2	7.2	NUM
ajst-26901	67	10	rod	rod	NOUN
ajst-26901	67	11	density	density	NOUN
ajst-26901	67	12	(	(	PUNCT
ajst-26901	67	13	kg	kg	NOUN
ajst-26901	67	14	/	/	SYM
ajst-26901	67	15	m³	m³	ADJ
ajst-26901	67	16	)	)	PUNCT
ajst-26901	67	17	7850.0	7850.0	NUM
ajst-26901	67	18	7850.0	7850.0	NUM
ajst-26901	67	19	total	total	ADJ
ajst-26901	67	20	weight	weight	NOUN
ajst-26901	67	21	of	of	ADP
ajst-26901	67	22	the	the	DET
ajst-26901	67	23	structure	structure	NOUN
ajst-26901	67	24	(	(	PUNCT
ajst-26901	67	25	kg	kg	NOUN
ajst-26901	67	26	)	)	PUNCT
ajst-26901	67	27	2350.0	2350.0	NUM
ajst-26901	67	28	1874.331	1874.331	NUM
ajst-26901	67	29	maximum	maximum	ADJ
ajst-26901	67	30	displacement	displacement	NOUN
ajst-26901	67	31	(	(	PUNCT
ajst-26901	67	32	mm	mm	NOUN
ajst-26901	67	33	)	)	PUNCT
ajst-26901	67	34	15.0	15.0	NUM
ajst-26901	67	35	14.579	14.579	NUM
ajst-26901	67	36	maximum	maximum	ADJ
ajst-26901	67	37	stress	stress	NOUN
ajst-26901	67	38	(	(	PUNCT
ajst-26901	67	39	mpa	mpa	PROPN
ajst-26901	67	40	)	)	PUNCT
ajst-26901	67	41	180.0	180.0	NUM
ajst-26901	67	42	175.403	175.403	NUM
ajst-26901	67	43	figure	figure	NOUN
ajst-26901	67	44	1	1	NUM
ajst-26901	67	45	.	.	PUNCT
ajst-26901	67	46	comparison	comparison	NOUN
ajst-26901	67	47	of	of	ADP
ajst-26901	67	48	convergence	convergence	NOUN
ajst-26901	67	49	between	between	ADP
ajst-26901	67	50	ga	ga	PROPN
ajst-26901	67	51	and	and	CCONJ
ajst-26901	67	52	gradient	gradient	ADJ
ajst-26901	67	53	descent	descent	NOUN
ajst-26901	67	54	method	method	PROPN
ajst-26901	67	55	ga	ga	PROPN
ajst-26901	67	56	performs	perform	VERB
ajst-26901	67	57	well	well	ADV
ajst-26901	67	58	in	in	ADP
ajst-26901	67	59	global	global	ADJ
ajst-26901	67	60	optimization	optimization	NOUN
ajst-26901	67	61	,	,	PUNCT
ajst-26901	67	62	and	and	CCONJ
ajst-26901	67	63	its	its	PRON
ajst-26901	67	64	convergence	convergence	NOUN
ajst-26901	67	65	curve	curve	NOUN
ajst-26901	67	66	drops	drop	VERB
ajst-26901	67	67	rapidly	rapidly	ADV
ajst-26901	67	68	in	in	ADP
ajst-26901	67	69	the	the	DET
ajst-26901	67	70	initial	initial	ADJ
ajst-26901	67	71	stage	stage	NOUN
ajst-26901	67	72	,	,	PUNCT
ajst-26901	67	73	which	which	PRON
ajst-26901	67	74	indicates	indicate	VERB
ajst-26901	67	75	that	that	SCONJ
ajst-26901	67	76	the	the	DET
ajst-26901	67	77	algorithm	algorithm	NOUN
ajst-26901	67	78	can	can	AUX
ajst-26901	67	79	quickly	quickly	ADV
ajst-26901	67	80	approach	approach	VERB
ajst-26901	67	81	the	the	DET
ajst-26901	67	82	global	global	ADJ
ajst-26901	67	83	optimal	optimal	ADJ
ajst-26901	67	84	solution	solution	NOUN
ajst-26901	67	85	region	region	NOUN
ajst-26901	67	86	.	.	PUNCT
ajst-26901	68	1	with	with	ADP
ajst-26901	68	2	the	the	DET
ajst-26901	68	3	progress	progress	NOUN
ajst-26901	68	4	of	of	ADP
ajst-26901	68	5	iteration	iteration	NOUN
ajst-26901	68	6	,	,	PUNCT
ajst-26901	68	7	ga	ga	PROPN
ajst-26901	68	8	gradually	gradually	ADV
ajst-26901	68	9	converges	converge	VERB
ajst-26901	68	10	steadily	steadily	ADV
ajst-26901	68	11	,	,	PUNCT
ajst-26901	68	12	and	and	CCONJ
ajst-26901	68	13	maintains	maintain	VERB
ajst-26901	68	14	good	good	ADJ
ajst-26901	68	15	search	search	NOUN
ajst-26901	68	16	ability	ability	NOUN
ajst-26901	68	17	in	in	ADP
ajst-26901	68	18	the	the	DET
ajst-26901	68	19	whole	whole	ADJ
ajst-26901	68	20	optimization	optimization	NOUN
ajst-26901	68	21	process	process	NOUN
ajst-26901	68	22	,	,	PUNCT
ajst-26901	68	23	effectively	effectively	ADV
ajst-26901	68	24	avoiding	avoid	VERB
ajst-26901	68	25	falling	fall	VERB
ajst-26901	68	26	into	into	ADP
ajst-26901	68	27	local	local	ADJ
ajst-26901	68	28	optimum	optimum	NOUN
ajst-26901	68	29	.	.	PUNCT
ajst-26901	69	1	in	in	ADP
ajst-26901	69	2	contrast	contrast	NOUN
ajst-26901	69	3	,	,	PUNCT
ajst-26901	69	4	the	the	DET
ajst-26901	69	5	convergence	convergence	NOUN
ajst-26901	69	6	curve	curve	NOUN
ajst-26901	69	7	of	of	ADP
ajst-26901	69	8	gradient	gradient	ADJ
ajst-26901	69	9	descent	descent	NOUN
ajst-26901	69	10	method	method	NOUN
ajst-26901	69	11	decreases	decrease	VERB
ajst-26901	69	12	slowly	slowly	ADV
ajst-26901	69	13	in	in	ADP
ajst-26901	69	14	the	the	DET
ajst-26901	69	15	initial	initial	ADJ
ajst-26901	69	16	stage	stage	NOUN
ajst-26901	69	17	and	and	CCONJ
ajst-26901	69	18	is	be	AUX
ajst-26901	69	19	easily	easily	ADV
ajst-26901	69	20	influenced	influence	VERB
ajst-26901	69	21	by	by	ADP
ajst-26901	69	22	the	the	DET
ajst-26901	69	23	selection	selection	NOUN
ajst-26901	69	24	of	of	ADP
ajst-26901	69	25	initial	initial	ADJ
ajst-26901	69	26	value	value	NOUN
ajst-26901	69	27	.	.	PUNCT
ajst-26901	70	1	although	although	SCONJ
ajst-26901	70	2	the	the	DET
ajst-26901	70	3	gradient	gradient	ADJ
ajst-26901	70	4	descent	descent	NOUN
ajst-26901	70	5	method	method	NOUN
ajst-26901	70	6	gradually	gradually	ADV
ajst-26901	70	7	approaches	approach	VERB
ajst-26901	70	8	the	the	DET
ajst-26901	70	9	optimal	optimal	ADJ
ajst-26901	70	10	solution	solution	NOUN
ajst-26901	70	11	with	with	ADP
ajst-26901	70	12	the	the	DET
ajst-26901	70	13	deepening	deepening	NOUN
ajst-26901	70	14	of	of	ADP
ajst-26901	70	15	iteration	iteration	NOUN
ajst-26901	70	16	,	,	PUNCT
ajst-26901	70	17	in	in	ADP
ajst-26901	70	18	some	some	DET
ajst-26901	70	19	cases	case	NOUN
ajst-26901	70	20	,	,	PUNCT
ajst-26901	70	21	it	it	PRON
ajst-26901	70	22	may	may	AUX
ajst-26901	70	23	fall	fall	VERB
ajst-26901	70	24	into	into	ADP
ajst-26901	70	25	local	local	ADJ
ajst-26901	70	26	optimum	optimum	NOUN
ajst-26901	70	27	and	and	CCONJ
ajst-26901	70	28	can	can	AUX
ajst-26901	70	29	not	not	PART
ajst-26901	70	30	jump	jump	VERB
ajst-26901	70	31	out	out	ADP
ajst-26901	70	32	further	far	ADV
ajst-26901	70	33	.	.	PUNCT
ajst-26901	71	1	in	in	ADP
ajst-26901	71	2	addition	addition	NOUN
ajst-26901	71	3	,	,	PUNCT
ajst-26901	71	4	the	the	DET
ajst-26901	71	5	convergence	convergence	NOUN
ajst-26901	71	6	process	process	NOUN
ajst-26901	71	7	of	of	ADP
ajst-26901	71	8	gradient	gradient	ADJ
ajst-26901	71	9	descent	descent	NOUN
ajst-26901	71	10	method	method	NOUN
ajst-26901	71	11	is	be	AUX
ajst-26901	71	12	relatively	relatively	ADV
ajst-26901	71	13	more	more	ADJ
ajst-26901	71	14	fluctuating	fluctuating	NOUN
ajst-26901	71	15	,	,	PUNCT
ajst-26901	71	16	which	which	PRON
ajst-26901	71	17	shows	show	VERB
ajst-26901	71	18	its	its	PRON
ajst-26901	71	19	strong	strong	ADJ
ajst-26901	71	20	dependence	dependence	NOUN
ajst-26901	71	21	on	on	ADP
ajst-26901	71	22	local	local	ADJ
ajst-26901	71	23	gradient	gradient	NOUN
ajst-26901	71	24	.	.	PUNCT
ajst-26901	72	1	ga	ga	PROPN
ajst-26901	72	2	has	have	VERB
ajst-26901	72	3	obvious	obvious	ADJ
ajst-26901	72	4	advantages	advantage	NOUN
ajst-26901	72	5	over	over	ADP
ajst-26901	72	6	gradient	gradient	ADJ
ajst-26901	72	7	descent	descent	NOUN
ajst-26901	72	8	method	method	NOUN
ajst-26901	72	9	in	in	ADP
ajst-26901	72	10	global	global	ADJ
ajst-26901	72	11	optimization	optimization	NOUN
ajst-26901	72	12	and	and	CCONJ
ajst-26901	72	13	convergence	convergence	NOUN
ajst-26901	72	14	stability	stability	NOUN
ajst-26901	72	15	,	,	PUNCT
ajst-26901	72	16	especially	especially	ADV
ajst-26901	72	17	in	in	ADP
ajst-26901	72	18	dealing	deal	VERB
ajst-26901	72	19	with	with	ADP
ajst-26901	72	20	complex	complex	ADJ
ajst-26901	72	21	problems	problem	NOUN
ajst-26901	72	22	such	such	ADJ
ajst-26901	72	23	as	as	ADP
ajst-26901	72	24	nonlinearity	nonlinearity	NOUN
ajst-26901	72	25	and	and	CCONJ
ajst-26901	72	26	multi	multi	NOUN
ajst-26901	72	27	-	-	NOUN
ajst-26901	72	28	peaks	peak	NOUN
ajst-26901	72	29	.	.	PUNCT
ajst-26901	73	1	4	4	X
ajst-26901	73	2	.	.	NOUN
ajst-26901	73	3	practical	practical	ADJ
ajst-26901	73	4	challenges	challenge	NOUN
ajst-26901	73	5	and	and	CCONJ
ajst-26901	73	6	solutions	solution	NOUN
ajst-26901	73	7	of	of	ADP
ajst-26901	73	8	mathematical	mathematical	ADJ
ajst-26901	73	9	optimization	optimization	NOUN
ajst-26901	73	10	method	method	NOUN
ajst-26901	73	11	in	in	ADP
ajst-26901	73	12	structural	structural	ADJ
ajst-26901	73	13	mechanics	mechanic	NOUN
ajst-26901	73	14	design	design	NOUN
ajst-26901	73	15	when	when	SCONJ
ajst-26901	73	16	using	use	VERB
ajst-26901	73	17	mathematical	mathematical	ADJ
ajst-26901	73	18	optimization	optimization	NOUN
ajst-26901	73	19	method	method	NOUN
ajst-26901	73	20	in	in	ADP
ajst-26901	73	21	structural	structural	ADJ
ajst-26901	73	22	mechanics	mechanic	NOUN
ajst-26901	73	23	design	design	NOUN
ajst-26901	73	24	,	,	PUNCT
ajst-26901	73	25	there	there	PRON
ajst-26901	73	26	are	be	VERB
ajst-26901	73	27	some	some	DET
ajst-26901	73	28	practical	practical	ADJ
ajst-26901	73	29	challenges	challenge	NOUN
ajst-26901	73	30	,	,	PUNCT
ajst-26901	73	31	including	include	VERB
ajst-26901	73	32	computational	computational	ADJ
ajst-26901	73	33	efficiency	efficiency	NOUN
ajst-26901	73	34	,	,	PUNCT
ajst-26901	73	35	because	because	SCONJ
ajst-26901	73	36	a	a	DET
ajst-26901	73	37	large	large	ADJ
ajst-26901	73	38	number	number	NOUN
ajst-26901	73	39	of	of	ADP
ajst-26901	73	40	calculations	calculation	NOUN
ajst-26901	73	41	needed	need	VERB
ajst-26901	73	42	to	to	PART
ajst-26901	73	43	deal	deal	VERB
ajst-26901	73	44	with	with	ADP
ajst-26901	73	45	complex	complex	ADJ
ajst-26901	73	46	structures	structure	NOUN
ajst-26901	73	47	may	may	AUX
ajst-26901	73	48	prolong	prolong	VERB
ajst-26901	73	49	the	the	DET
ajst-26901	73	50	design	design	NOUN
ajst-26901	73	51	iteration	iteration	NOUN
ajst-26901	73	52	cycle	cycle	NOUN
ajst-26901	73	53	and	and	CCONJ
ajst-26901	73	54	slow	slow	VERB
ajst-26901	73	55	down	down	ADP
ajst-26901	73	56	the	the	DET
ajst-26901	73	57	project	project	NOUN
ajst-26901	73	58	progress	progress	NOUN
ajst-26901	73	59	;	;	PUNCT
ajst-26901	73	60	in	in	ADP
ajst-26901	73	61	addition	addition	NOUN
ajst-26901	73	62	,	,	PUNCT
ajst-26901	73	63	there	there	PRON
ajst-26901	73	64	are	be	VERB
ajst-26901	73	65	convergence	convergence	NOUN
ajst-26901	73	66	problems	problem	NOUN
ajst-26901	73	67	,	,	PUNCT
ajst-26901	73	68	and	and	CCONJ
ajst-26901	73	69	some	some	DET
ajst-26901	73	70	optimization	optimization	NOUN
ajst-26901	73	71	algorithms	algorithm	NOUN
ajst-26901	73	72	may	may	AUX
ajst-26901	73	73	show	show	VERB
ajst-26901	73	74	slow	slow	ADJ
ajst-26901	73	75	convergence	convergence	NOUN
ajst-26901	73	76	or	or	CCONJ
ajst-26901	73	77	no	no	DET
ajst-26901	73	78	convergence	convergence	NOUN
ajst-26901	73	79	at	at	ADV
ajst-26901	73	80	all	all	ADV
ajst-26901	73	81	,	,	PUNCT
ajst-26901	73	82	thus	thus	ADV
ajst-26901	73	83	affecting	affect	VERB
ajst-26901	73	84	the	the	DET
ajst-26901	73	85	quality	quality	NOUN
ajst-26901	73	86	of	of	ADP
ajst-26901	73	87	the	the	DET
ajst-26901	73	88	solution	solution	NOUN
ajst-26901	73	89	;	;	PUNCT
ajst-26901	73	90	furthermore	furthermore	ADV
ajst-26901	73	91	,	,	PUNCT
ajst-26901	73	92	the	the	DET
ajst-26901	73	93	local	local	ADJ
ajst-26901	73	94	optimal	optimal	ADJ
ajst-26901	73	95	solution	solution	NOUN
ajst-26901	73	96	is	be	AUX
ajst-26901	73	97	easy	easy	ADJ
ajst-26901	73	98	to	to	PART
ajst-26901	73	99	appear	appear	VERB
ajst-26901	73	100	in	in	ADP
ajst-26901	73	101	the	the	DET
ajst-26901	73	102	optimization	optimization	NOUN
ajst-26901	73	103	process	process	NOUN
ajst-26901	73	104	,	,	PUNCT
ajst-26901	73	105	which	which	PRON
ajst-26901	73	106	makes	make	VERB
ajst-26901	73	107	it	it	PRON
ajst-26901	73	108	difficult	difficult	ADJ
ajst-26901	73	109	for	for	SCONJ
ajst-26901	73	110	the	the	DET
ajst-26901	73	111	algorithm	algorithm	NOUN
ajst-26901	73	112	to	to	PART
ajst-26901	73	113	break	break	VERB
ajst-26901	73	114	through	through	ADP
ajst-26901	73	115	and	and	CCONJ
ajst-26901	73	116	find	find	VERB
ajst-26901	73	117	the	the	DET
ajst-26901	73	118	global	global	ADJ
ajst-26901	73	119	optimal	optimal	ADJ
ajst-26901	73	120	solution	solution	NOUN
ajst-26901	73	121	.	.	PUNCT
ajst-26901	74	1	this	this	DET
ajst-26901	74	2	problem	problem	NOUN
ajst-26901	74	3	is	be	AUX
ajst-26901	74	4	particularly	particularly	ADV
ajst-26901	74	5	critical	critical	ADJ
ajst-26901	74	6	,	,	PUNCT
ajst-26901	74	7	because	because	SCONJ
ajst-26901	74	8	the	the	DET
ajst-26901	74	9	final	final	ADJ
ajst-26901	74	10	design	design	NOUN
ajst-26901	74	11	performance	performance	NOUN
ajst-26901	74	12	may	may	AUX
ajst-26901	74	13	be	be	AUX
ajst-26901	74	14	affected	affect	VERB
ajst-26901	74	15	.	.	PUNCT
ajst-26901	75	1	in	in	ADP
ajst-26901	75	2	order	order	NOUN
ajst-26901	75	3	to	to	PART
ajst-26901	75	4	meet	meet	VERB
ajst-26901	75	5	the	the	DET
ajst-26901	75	6	optimization	optimization	NOUN
ajst-26901	75	7	challenge	challenge	NOUN
ajst-26901	75	8	in	in	ADP
ajst-26901	75	9	structural	structural	ADJ
ajst-26901	75	10	mechanics	mechanic	NOUN
ajst-26901	75	11	design	design	NOUN
ajst-26901	75	12	,	,	PUNCT
ajst-26901	75	13	many	many	ADJ
ajst-26901	75	14	strategies	strategy	NOUN
ajst-26901	75	15	can	can	AUX
ajst-26901	75	16	be	be	AUX
ajst-26901	75	17	adopted	adopt	VERB
ajst-26901	75	18	,	,	PUNCT
ajst-26901	75	19	including	include	VERB
ajst-26901	75	20	improving	improve	VERB
ajst-26901	75	21	existing	exist	VERB
ajst-26901	75	22	algorithms	algorithm	NOUN
ajst-26901	75	23	,	,	PUNCT
ajst-26901	75	24	such	such	ADJ
ajst-26901	75	25	as	as	ADP
ajst-26901	75	26	adjusting	adjust	VERB
ajst-26901	75	27	parameters	parameter	NOUN
ajst-26901	75	28	or	or	CCONJ
ajst-26901	75	29	adopting	adopt	VERB
ajst-26901	75	30	more	more	ADV
ajst-26901	75	31	advanced	advanced	ADJ
ajst-26901	75	32	algorithm	algorithm	NOUN
ajst-26901	75	33	variants	variant	NOUN
ajst-26901	75	34	to	to	PART
ajst-26901	75	35	enhance	enhance	VERB
ajst-26901	75	36	convergence	convergence	NOUN
ajst-26901	75	37	and	and	CCONJ
ajst-26901	75	38	global	global	ADJ
ajst-26901	75	39	search	search	NOUN
ajst-26901	75	40	ability	ability	NOUN
ajst-26901	75	41	;	;	PUNCT
ajst-26901	75	42	it	it	PRON
ajst-26901	75	43	is	be	AUX
ajst-26901	75	44	also	also	ADV
ajst-26901	75	45	critical	critical	ADJ
ajst-26901	75	46	to	to	PART
ajst-26901	75	47	introduce	introduce	VERB
ajst-26901	75	48	parallel	parallel	ADJ
ajst-26901	75	49	computing	computing	NOUN
ajst-26901	75	50	technology	technology	NOUN
ajst-26901	75	51	,	,	PUNCT
ajst-26901	75	52	which	which	PRON
ajst-26901	75	53	can	can	AUX
ajst-26901	75	54	greatly	greatly	ADV
ajst-26901	75	55	improve	improve	VERB
ajst-26901	75	56	the	the	DET
ajst-26901	75	57	computational	computational	ADJ
ajst-26901	75	58	efficiency	efficiency	NOUN
ajst-26901	75	59	by	by	ADP
ajst-26901	75	60	decomposing	decompose	VERB
ajst-26901	75	61	the	the	DET
ajst-26901	75	62	optimization	optimization	NOUN
ajst-26901	75	63	problem	problem	NOUN
ajst-26901	75	64	and	and	CCONJ
ajst-26901	75	65	executing	execute	VERB
ajst-26901	75	66	it	it	PRON
ajst-26901	75	67	on	on	ADP
ajst-26901	75	68	multiple	multiple	ADJ
ajst-26901	75	69	processors	processor	NOUN
ajst-26901	75	70	,	,	PUNCT
ajst-26901	75	71	which	which	PRON
ajst-26901	75	72	is	be	AUX
ajst-26901	75	73	especially	especially	ADV
ajst-26901	75	74	important	important	ADJ
ajst-26901	75	75	for	for	ADP
ajst-26901	75	76	large	large	ADJ
ajst-26901	75	77	-	-	PUNCT
ajst-26901	75	78	scale	scale	NOUN
ajst-26901	75	79	structural	structural	ADJ
ajst-26901	75	80	optimization	optimization	NOUN
ajst-26901	75	81	;	;	PUNCT
ajst-26901	75	82	in	in	ADP
ajst-26901	75	83	addition	addition	NOUN
ajst-26901	75	84	,	,	PUNCT
ajst-26901	75	85	the	the	DET
ajst-26901	75	86	combination	combination	NOUN
ajst-26901	75	87	of	of	ADP
ajst-26901	75	88	different	different	ADJ
ajst-26901	75	89	optimization	optimization	NOUN
ajst-26901	75	90	methods	method	NOUN
ajst-26901	75	91	can	can	AUX
ajst-26901	75	92	also	also	ADV
ajst-26901	75	93	give	give	VERB
ajst-26901	75	94	full	full	ADJ
ajst-26901	75	95	play	play	NOUN
ajst-26901	75	96	to	to	ADP
ajst-26901	75	97	their	their	PRON
ajst-26901	75	98	respective	respective	ADJ
ajst-26901	75	99	advantages	advantage	NOUN
ajst-26901	75	100	,	,	PUNCT
ajst-26901	75	101	such	such	ADJ
ajst-26901	75	102	as	as	ADP
ajst-26901	75	103	using	use	VERB
ajst-26901	75	104	ga	ga	PROPN
ajst-26901	75	105	for	for	ADP
ajst-26901	75	106	global	global	ADJ
ajst-26901	75	107	exploration	exploration	NOUN
ajst-26901	75	108	first	first	ADV
ajst-26901	75	109	,	,	PUNCT
ajst-26901	75	110	and	and	CCONJ
ajst-26901	75	111	then	then	ADV
ajst-26901	75	112	using	use	VERB
ajst-26901	75	113	gradient	gradient	ADJ
ajst-26901	75	114	descent	descent	NOUN
ajst-26901	75	115	method	method	NOUN
ajst-26901	75	116	to	to	PART
ajst-26901	75	117	achieve	achieve	VERB
ajst-26901	75	118	local	local	ADJ
ajst-26901	75	119	fine	fine	ADJ
ajst-26901	75	120	tuning	tuning	NOUN
ajst-26901	75	121	,	,	PUNCT
ajst-26901	75	122	so	so	SCONJ
ajst-26901	75	123	as	as	SCONJ
ajst-26901	75	124	to	to	PART
ajst-26901	75	125	locate	locate	VERB
ajst-26901	75	126	the	the	DET
ajst-26901	75	127	global	global	ADJ
ajst-26901	75	128	optimal	optimal	ADJ
ajst-26901	75	129	solution	solution	NOUN
ajst-26901	75	130	more	more	ADV
ajst-26901	75	131	efficiently	efficiently	ADV
ajst-26901	75	132	and	and	CCONJ
ajst-26901	75	133	promote	promote	VERB
ajst-26901	75	134	rapid	rapid	ADJ
ajst-26901	75	135	convergence	convergence	NOUN
ajst-26901	75	136	.	.	PUNCT
ajst-26901	76	1	5	5	X
ajst-26901	76	2	.	.	X
ajst-26901	76	3	conclusion	conclusion	VERB
ajst-26901	76	4	the	the	DET
ajst-26901	76	5	application	application	NOUN
ajst-26901	76	6	and	and	CCONJ
ajst-26901	76	7	practice	practice	NOUN
ajst-26901	76	8	of	of	ADP
ajst-26901	76	9	mathematical	mathematical	ADJ
ajst-26901	76	10	optimization	optimization	NOUN
ajst-26901	76	11	methods	method	NOUN
ajst-26901	76	12	in	in	ADP
ajst-26901	76	13	structural	structural	ADJ
ajst-26901	76	14	mechanics	mechanic	NOUN
ajst-26901	76	15	design	design	NOUN
ajst-26901	76	16	show	show	VERB
ajst-26901	76	17	that	that	SCONJ
ajst-26901	76	18	these	these	DET
ajst-26901	76	19	methods	method	NOUN
ajst-26901	76	20	can	can	AUX
ajst-26901	76	21	effectively	effectively	ADV
ajst-26901	76	22	improve	improve	VERB
ajst-26901	76	23	the	the	DET
ajst-26901	76	24	design	design	NOUN
ajst-26901	76	25	efficiency	efficiency	NOUN
ajst-26901	76	26	and	and	CCONJ
ajst-26901	76	27	quality	quality	NOUN
ajst-26901	76	28	.	.	PUNCT
ajst-26901	77	1	by	by	ADP
ajst-26901	77	2	transforming	transform	VERB
ajst-26901	77	3	practical	practical	ADJ
ajst-26901	77	4	problems	problem	NOUN
ajst-26901	77	5	into	into	ADP
ajst-26901	77	6	solvable	solvable	ADJ
ajst-26901	77	7	mathematical	mathematical	ADJ
ajst-26901	77	8	models	model	NOUN
ajst-26901	77	9	,	,	PUNCT
ajst-26901	77	10	and	and	CCONJ
ajst-26901	77	11	applying	apply	VERB
ajst-26901	77	12	different	different	ADJ
ajst-26901	77	13	algorithms	algorithm	NOUN
ajst-26901	77	14	such	such	ADJ
ajst-26901	77	15	as	as	ADP
ajst-26901	77	16	scatter	scatter	NOUN
ajst-26901	77	17	-	-	PUNCT
ajst-26901	77	18	based	base	VERB
ajst-26901	77	19	optimization	optimization	NOUN
ajst-26901	77	20	algorithm	algorithm	NOUN
ajst-26901	77	21	,	,	PUNCT
ajst-26901	77	22	gradient	gradient	NOUN
ajst-26901	77	23	-	-	PUNCT
ajst-26901	77	24	based	base	VERB
ajst-26901	77	25	optimization	optimization	NOUN
ajst-26901	77	26	algorithm	algorithm	NOUN
ajst-26901	77	27	and	and	CCONJ
ajst-26901	77	28	heuristic	heuristic	ADJ
ajst-26901	77	29	optimization	optimization	NOUN
ajst-26901	77	30	algorithm	algorithm	NOUN
ajst-26901	77	31	to	to	PART
ajst-26901	77	32	find	find	VERB
ajst-26901	77	33	the	the	DET
ajst-26901	77	34	optimal	optimal	ADJ
ajst-26901	77	35	solution	solution	NOUN
ajst-26901	77	36	,	,	PUNCT
ajst-26901	77	37	engineers	engineer	NOUN
ajst-26901	77	38	can	can	AUX
ajst-26901	77	39	meet	meet	VERB
ajst-26901	77	40	the	the	DET
ajst-26901	77	41	constraints	constraint	NOUN
ajst-26901	77	42	of	of	ADP
ajst-26901	77	43	structural	structural	ADJ
ajst-26901	77	44	strength	strength	NOUN
ajst-26901	77	45	,	,	PUNCT
ajst-26901	77	46	stiffness	stiffness	NOUN
ajst-26901	77	47	and	and	CCONJ
ajst-26901	77	48	stability	stability	NOUN
ajst-26901	77	49	,	,	PUNCT
ajst-26901	77	50	and	and	CCONJ
ajst-26901	77	51	at	at	ADP
ajst-26901	77	52	the	the	DET
ajst-26901	77	53	same	same	ADJ
ajst-26901	77	54	time	time	NOUN
ajst-26901	77	55	realize	realize	VERB
ajst-26901	77	56	the	the	DET
ajst-26901	77	57	minimization	minimization	NOUN
ajst-26901	77	58	of	of	ADP
ajst-26901	77	59	structural	structural	ADJ
ajst-26901	77	60	weight	weight	NOUN
ajst-26901	77	61	.	.	PUNCT
ajst-26901	78	1	in	in	ADP
ajst-26901	78	2	particular	particular	ADJ
ajst-26901	78	3	,	,	PUNCT
ajst-26901	78	4	heuristic	heuristic	ADJ
ajst-26901	78	5	algorithms	algorithm	NOUN
ajst-26901	78	6	such	such	ADJ
ajst-26901	78	7	as	as	ADP
ajst-26901	78	8	ga	ga	PROPN
ajst-26901	78	9	show	show	VERB
ajst-26901	78	10	strong	strong	ADJ
ajst-26901	78	11	global	global	ADJ
ajst-26901	78	12	optimization	optimization	NOUN
ajst-26901	78	13	ability	ability	NOUN
ajst-26901	78	14	and	and	CCONJ
ajst-26901	78	15	adaptability	adaptability	NOUN
ajst-26901	78	16	when	when	SCONJ
ajst-26901	78	17	dealing	deal	VERB
ajst-26901	78	18	with	with	ADP
ajst-26901	78	19	complex	complex	ADJ
ajst-26901	78	20	optimization	optimization	NOUN
ajst-26901	78	21	problems	problem	NOUN
ajst-26901	78	22	such	such	ADJ
ajst-26901	78	23	as	as	ADP
ajst-26901	78	24	nonlinearity	nonlinearity	NOUN
ajst-26901	78	25	and	and	CCONJ
ajst-26901	78	26	multi	multi	NOUN
ajst-26901	78	27	-	-	NOUN
ajst-26901	78	28	peaks	peak	NOUN
ajst-26901	78	29	.	.	PUNCT
ajst-26901	79	1	in	in	ADP
ajst-26901	79	2	addition	addition	NOUN
ajst-26901	79	3	,	,	PUNCT
ajst-26901	79	4	although	although	SCONJ
ajst-26901	79	5	there	there	PRON
ajst-26901	79	6	are	be	VERB
ajst-26901	79	7	challenges	challenge	NOUN
ajst-26901	79	8	such	such	ADJ
ajst-26901	79	9	as	as	ADP
ajst-26901	79	10	computational	computational	ADJ
ajst-26901	79	11	efficiency	efficiency	NOUN
ajst-26901	79	12	,	,	PUNCT
ajst-26901	79	13	convergence	convergence	NOUN
ajst-26901	79	14	and	and	CCONJ
ajst-26901	79	15	local	local	ADJ
ajst-26901	79	16	optimal	optimal	ADJ
ajst-26901	79	17	solution	solution	NOUN
ajst-26901	79	18	in	in	ADP
ajst-26901	79	19	practical	practical	ADJ
ajst-26901	79	20	application	application	NOUN
ajst-26901	79	21	,	,	PUNCT
ajst-26901	79	22	these	these	DET
ajst-26901	79	23	challenges	challenge	NOUN
ajst-26901	79	24	can	can	AUX
ajst-26901	79	25	be	be	AUX
ajst-26901	79	26	effectively	effectively	ADV
ajst-26901	79	27	met	meet	VERB
ajst-26901	79	28	by	by	ADP
ajst-26901	79	29	improving	improve	VERB
ajst-26901	79	30	existing	exist	VERB
ajst-26901	79	31	algorithms	algorithm	NOUN
ajst-26901	79	32	,	,	PUNCT
ajst-26901	79	33	introducing	introduce	VERB
ajst-26901	79	34	parallel	parallel	ADJ
ajst-26901	79	35	computing	computing	NOUN
ajst-26901	79	36	technology	technology	NOUN
ajst-26901	79	37	and	and	CCONJ
ajst-26901	79	38	combining	combine	VERB
ajst-26901	79	39	different	different	ADJ
ajst-26901	79	40	optimization	optimization	NOUN
ajst-26901	79	41	methods	method	NOUN
ajst-26901	79	42	,	,	PUNCT
ajst-26901	79	43	thus	thus	ADV
ajst-26901	79	44	ensuring	ensure	VERB
ajst-26901	79	45	the	the	DET
ajst-26901	79	46	superiority	superiority	NOUN
ajst-26901	79	47	and	and	CCONJ
ajst-26901	79	48	feasibility	feasibility	NOUN
ajst-26901	79	49	of	of	ADP
ajst-26901	79	50	the	the	DET
ajst-26901	79	51	design	design	NOUN
ajst-26901	79	52	scheme	scheme	NOUN
ajst-26901	79	53	.	.	PUNCT
ajst-26901	80	1	in	in	ADP
ajst-26901	80	2	a	a	DET
ajst-26901	80	3	word	word	NOUN
ajst-26901	80	4	,	,	PUNCT
ajst-26901	80	5	mathematical	mathematical	ADJ
ajst-26901	80	6	154	154	NUM
ajst-26901	80	7	optimization	optimization	NOUN
ajst-26901	80	8	method	method	NOUN
ajst-26901	80	9	provides	provide	VERB
ajst-26901	80	10	an	an	DET
ajst-26901	80	11	efficient	efficient	ADJ
ajst-26901	80	12	and	and	CCONJ
ajst-26901	80	13	accurate	accurate	ADJ
ajst-26901	80	14	solution	solution	NOUN
ajst-26901	80	15	for	for	ADP
ajst-26901	80	16	modern	modern	ADJ
ajst-26901	80	17	structural	structural	ADJ
ajst-26901	80	18	mechanics	mechanic	NOUN
ajst-26901	80	19	design	design	NOUN
ajst-26901	80	20	,	,	PUNCT
ajst-26901	80	21	which	which	PRON
ajst-26901	80	22	is	be	AUX
ajst-26901	80	23	helpful	helpful	ADJ
ajst-26901	80	24	to	to	PART
ajst-26901	80	25	promote	promote	VERB
ajst-26901	80	26	the	the	DET
ajst-26901	80	27	progress	progress	NOUN
ajst-26901	80	28	and	and	CCONJ
ajst-26901	80	29	development	development	NOUN
ajst-26901	80	30	of	of	ADP
ajst-26901	80	31	engineering	engineering	NOUN
ajst-26901	80	32	field	field	NOUN
ajst-26901	80	33	.	.	PUNCT
ajst-26901	81	1	references	reference	NOUN
ajst-26901	81	2	[	[	X
ajst-26901	81	3	1	1	NUM
ajst-26901	81	4	]	]	X
ajst-26901	81	5	volchok	volchok	NOUN
ajst-26901	81	6	,	,	PUNCT
ajst-26901	81	7	d.	d.	PROPN
ajst-26901	81	8	,	,	PUNCT
ajst-26901	81	9	danishevskyy	danishevskyy	NOUN
ajst-26901	81	10	,	,	PUNCT
ajst-26901	81	11	v.	v.	CCONJ
ajst-26901	81	12	,	,	PUNCT
ajst-26901	81	13	&	&	CCONJ
ajst-26901	81	14	slobodianiuk	slobodianiuk	PROPN
ajst-26901	81	15	,	,	PUNCT
ajst-26901	81	16	s.	s.	PROPN
ajst-26901	81	17	k.	k.	PROPN
ajst-26901	81	18	i.	i.	PROPN
ajst-26901	81	19	(	(	PUNCT
ajst-26901	81	20	2023	2023	NUM
ajst-26901	81	21	)	)	PUNCT
ajst-26901	81	22	.	.	PUNCT
ajst-26901	82	1	fuzzy	fuzzy	ADJ
ajst-26901	82	2	sets	set	VERB
ajst-26901	82	3	application	application	NOUN
ajst-26901	82	4	in	in	ADP
ajst-26901	82	5	the	the	DET
ajst-26901	82	6	problems	problem	NOUN
ajst-26901	82	7	of	of	ADP
ajst-26901	82	8	structural	structural	ADJ
ajst-26901	82	9	mechanics	mechanic	NOUN
ajst-26901	82	10	and	and	CCONJ
ajst-26901	82	11	optimal	optimal	ADJ
ajst-26901	82	12	design	design	NOUN
ajst-26901	82	13	.	.	PUNCT
ajst-26901	83	1	acta	acta	PROPN
ajst-26901	83	2	mechanica	mechanica	PROPN
ajst-26901	83	3	,	,	PUNCT
ajst-26901	83	4	234(12	234(12	NUM
ajst-26901	83	5	)	)	PUNCT
ajst-26901	83	6	,	,	PUNCT
ajst-26901	83	7	6191	6191	NUM
ajst-26901	83	8	-	-	SYM
ajst-26901	83	9	6204	6204	NUM
ajst-26901	83	10	.	.	PUNCT
ajst-26901	84	1	[	[	X
ajst-26901	84	2	2	2	NUM
ajst-26901	84	3	]	]	SYM
ajst-26901	84	4	wu	wu	PROPN
ajst-26901	84	5	,	,	PUNCT
ajst-26901	84	6	d.	d.	PROPN
ajst-26901	84	7	,	,	PUNCT
ajst-26901	84	8	wu	wu	PROPN
ajst-26901	84	9	,	,	PUNCT
ajst-26901	84	10	y.	y.	PROPN
ajst-26901	84	11	,	,	PUNCT
ajst-26901	84	12	chen	chen	PROPN
ajst-26901	84	13	,	,	PUNCT
ajst-26901	84	14	m.	m.	NOUN
ajst-26901	84	15	,	,	PUNCT
ajst-26901	84	16	fan	fan	PROPN
ajst-26901	84	17	,	,	PUNCT
ajst-26901	84	18	r.	r.	PROPN
ajst-26901	84	19	,	,	PUNCT
ajst-26901	84	20	yan	yan	PROPN
ajst-26901	84	21	,	,	PUNCT
ajst-26901	84	22	k.	k.	PROPN
ajst-26901	84	23	,	,	PUNCT
ajst-26901	84	24	&	&	CCONJ
ajst-26901	84	25	xiao	xiao	PROPN
ajst-26901	84	26	,	,	PUNCT
ajst-26901	84	27	w.	w.	PROPN
ajst-26901	84	28	(	(	PUNCT
ajst-26901	84	29	2024	2024	NUM
ajst-26901	84	30	)	)	PUNCT
ajst-26901	84	31	.	.	PUNCT
ajst-26901	85	1	structural	structural	ADJ
ajst-26901	85	2	optimization	optimization	NOUN
ajst-26901	85	3	and	and	CCONJ
ajst-26901	85	4	experimental	experimental	ADJ
ajst-26901	85	5	study	study	NOUN
ajst-26901	85	6	on	on	ADP
ajst-26901	85	7	the	the	DET
ajst-26901	85	8	ti	ti	NOUN
ajst-26901	85	9	-	-	ADJ
ajst-26901	85	10	alloy	alloy	ADJ
ajst-26901	85	11	kagome	kagome	NOUN
ajst-26901	85	12	structure	structure	NOUN
ajst-26901	85	13	formed	form	VERB
ajst-26901	85	14	by	by	ADP
ajst-26901	85	15	the	the	DET
ajst-26901	85	16	superplastic	superplastic	ADJ
ajst-26901	85	17	forming	form	VERB
ajst-26901	85	18	/	/	SYM
ajst-26901	85	19	diffusion	diffusion	NOUN
ajst-26901	85	20	bonding	bonding	NOUN
ajst-26901	85	21	process	process	NOUN
ajst-26901	85	22	:	:	PUNCT
ajst-26901	85	23	.	.	PUNCT
ajst-26901	86	1	journal	journal	PROPN
ajst-26901	86	2	of	of	ADP
ajst-26901	86	3	sandwich	sandwich	NOUN
ajst-26901	86	4	structures	structure	NOUN
ajst-26901	86	5	&	&	CCONJ
ajst-26901	86	6	materials	material	NOUN
ajst-26901	86	7	,	,	PUNCT
ajst-26901	86	8	26(3	26(3	NUM
ajst-26901	86	9	)	)	PUNCT
ajst-26901	86	10	,	,	PUNCT
ajst-26901	86	11	303	303	NUM
ajst-26901	86	12	-	-	SYM
ajst-26901	86	13	316	316	NUM
ajst-26901	86	14	.	.	PUNCT
ajst-26901	87	1	[	[	X
ajst-26901	87	2	3	3	NUM
ajst-26901	87	3	]	]	X
ajst-26901	87	4	silva	silva	NOUN
ajst-26901	87	5	,	,	PUNCT
ajst-26901	87	6	a.	a.	PROPN
ajst-26901	87	7	l.	l.	PROPN
ajst-26901	87	8	f.	f.	PROPN
ajst-26901	87	9	d.	d.	PROPN
ajst-26901	87	10	,	,	PUNCT
ajst-26901	87	11	salas	salas	PROPN
ajst-26901	87	12	,	,	PUNCT
ajst-26901	87	13	r.	r.	PROPN
ajst-26901	87	14	a.	a.	PROPN
ajst-26901	87	15	,	,	PUNCT
ajst-26901	87	16	&	&	CCONJ
ajst-26901	87	17	silva	silva	PROPN
ajst-26901	87	18	,	,	PUNCT
ajst-26901	87	19	e.	e.	PROPN
ajst-26901	87	20	c.	c.	PROPN
ajst-26901	87	21	n.	n.	PROPN
ajst-26901	87	22	(	(	PUNCT
ajst-26901	87	23	2024	2024	NUM
ajst-26901	87	24	)	)	PUNCT
ajst-26901	87	25	.	.	PUNCT
ajst-26901	88	1	topology	topology	NOUN
ajst-26901	88	2	optimization	optimization	NOUN
ajst-26901	88	3	considering	consider	VERB
ajst-26901	88	4	tsai	tsai	PROPN
ajst-26901	88	5	–	–	PUNCT
ajst-26901	88	6	wu	wu	PROPN
ajst-26901	88	7	yield	yield	NOUN
ajst-26901	88	8	criterion	criterion	NOUN
ajst-26901	88	9	for	for	ADP
ajst-26901	88	10	composite	composite	ADJ
ajst-26901	88	11	materials	material	NOUN
ajst-26901	88	12	.	.	PUNCT
ajst-26901	89	1	archive	archive	NOUN
ajst-26901	89	2	of	of	ADP
ajst-26901	89	3	applied	apply	VERB
ajst-26901	89	4	mechanics	mechanic	NOUN
ajst-26901	89	5	,	,	PUNCT
ajst-26901	89	6	94(9	94(9	NUM
ajst-26901	89	7	)	)	PUNCT
ajst-26901	89	8	,	,	PUNCT
ajst-26901	89	9	2719	2719	NUM
ajst-26901	89	10	-	-	SYM
ajst-26901	89	11	2744	2744	NUM
ajst-26901	89	12	.	.	PUNCT
ajst-26901	90	1	[	[	X
ajst-26901	90	2	4	4	NUM
ajst-26901	90	3	]	]	X
ajst-26901	90	4	ren	ren	PROPN
ajst-26901	90	5	,	,	PUNCT
ajst-26901	90	6	y.	y.	PROPN
ajst-26901	90	7	,	,	PUNCT
ajst-26901	90	8	qi	qi	PROPN
ajst-26901	90	9	,	,	PUNCT
ajst-26901	90	10	s.	s.	PROPN
ajst-26901	90	11	,	,	PUNCT
ajst-26901	90	12	&	&	CCONJ
ajst-26901	90	13	pu	pu	PROPN
ajst-26901	90	14	,	,	PUNCT
ajst-26901	90	15	c.	c.	PROPN
ajst-26901	90	16	(	(	PUNCT
ajst-26901	90	17	2019	2019	NUM
ajst-26901	90	18	)	)	PUNCT
ajst-26901	90	19	.	.	PUNCT
ajst-26901	91	1	a	a	DET
ajst-26901	91	2	direct	direct	ADJ
ajst-26901	91	3	topological	topological	ADJ
ajst-26901	91	4	reanalysis	reanalysis	NOUN
ajst-26901	91	5	algorithm	algorithm	NOUN
ajst-26901	91	6	based	base	VERB
ajst-26901	91	7	on	on	ADP
ajst-26901	91	8	updating	update	VERB
ajst-26901	91	9	matrix	matrix	NOUN
ajst-26901	91	10	triangular	triangular	NOUN
ajst-26901	91	11	factorization	factorization	NOUN
ajst-26901	91	12	.	.	PUNCT
ajst-26901	92	1	engineering	engineering	NOUN
ajst-26901	92	2	computations	computation	NOUN
ajst-26901	92	3	,	,	PUNCT
ajst-26901	92	4	36(8	36(8	NUM
ajst-26901	92	5	)	)	PUNCT
ajst-26901	92	6	,	,	PUNCT
ajst-26901	92	7	2651	2651	NUM
ajst-26901	92	8	-	-	SYM
ajst-26901	92	9	2672	2672	NUM
ajst-26901	92	10	.	.	PUNCT
ajst-26901	93	1	[	[	X
ajst-26901	93	2	5	5	NUM
ajst-26901	93	3	]	]	PUNCT
ajst-26901	93	4	julián	julián	PROPN
ajst-26901	93	5	l.	l.	PROPN
ajst-26901	93	6	pita	pita	PROPN
ajst-26901	93	7	ruiz	ruiz	PROPN
ajst-26901	93	8	,	,	PUNCT
ajst-26901	93	9	amad	amad	ADJ
ajst-26901	93	10	,	,	PUNCT
ajst-26901	93	11	a.	a.	NOUN
ajst-26901	93	12	a.	a.	PROPN
ajst-26901	93	13	s.	s.	PROPN
ajst-26901	93	14	,	,	PUNCT
ajst-26901	93	15	gabrielli	gabrielli	PROPN
ajst-26901	93	16	,	,	PUNCT
ajst-26901	93	17	l.	l.	PROPN
ajst-26901	93	18	h.	h.	PROPN
ajst-26901	93	19	,	,	PUNCT
ajst-26901	93	20	&	&	CCONJ
ajst-26901	93	21	antonio	antonio	PROPN
ajst-26901	93	22	andré	andré	PROPN
ajst-26901	93	23	novotny	novotny	PROPN
ajst-26901	93	24	.	.	PUNCT
ajst-26901	94	1	(	(	PUNCT
ajst-26901	94	2	2019	2019	NUM
ajst-26901	94	3	)	)	PUNCT
ajst-26901	94	4	.	.	PUNCT
ajst-26901	95	1	optimization	optimization	NOUN
ajst-26901	95	2	of	of	ADP
ajst-26901	95	3	the	the	DET
ajst-26901	95	4	electromagnetic	electromagnetic	ADJ
ajst-26901	95	5	scattering	scattering	NOUN
ajst-26901	95	6	problem	problem	NOUN
ajst-26901	95	7	based	base	VERB
ajst-26901	95	8	on	on	ADP
ajst-26901	95	9	the	the	DET
ajst-26901	95	10	topological	topological	ADJ
ajst-26901	95	11	derivative	derivative	ADJ
ajst-26901	95	12	method	method	NOUN
ajst-26901	95	13	.	.	PUNCT
ajst-26901	96	1	optics	optic	NOUN
ajst-26901	96	2	express	express	VERB
ajst-26901	96	3	,	,	PUNCT
ajst-26901	96	4	27(23	27(23	NOUN
ajst-26901	96	5	)	)	PUNCT
ajst-26901	96	6	,	,	PUNCT
ajst-26901	96	7	33586	33586	NUM
ajst-26901	96	8	.	.	PUNCT
ajst-26901	97	1	[	[	X
ajst-26901	97	2	6	6	NUM
ajst-26901	97	3	]	]	X
ajst-26901	97	4	wang	wang	PROPN
ajst-26901	97	5	,	,	PUNCT
ajst-26901	97	6	t.	t.	PROPN
ajst-26901	97	7	,	,	PUNCT
ajst-26901	97	8	zhao	zhao	PROPN
ajst-26901	97	9	,	,	PUNCT
ajst-26901	97	10	j.	j.	PROPN
ajst-26901	97	11	,	,	PUNCT
ajst-26901	97	12	zhang	zhang	PROPN
ajst-26901	97	13	,	,	PUNCT
ajst-26901	97	14	q.	q.	PROPN
ajst-26901	97	15	,	,	PUNCT
ajst-26901	97	16	liu	liu	PROPN
ajst-26901	97	17	,	,	PUNCT
ajst-26901	97	18	j.	j.	PROPN
ajst-26901	97	19	,	,	PUNCT
ajst-26901	97	20	chen	chen	PROPN
ajst-26901	97	21	,	,	PUNCT
ajst-26901	97	22	h.	h.	PROPN
ajst-26901	97	23	,	,	PUNCT
ajst-26901	97	24	&	&	CCONJ
ajst-26901	97	25	zhang	zhang	PROPN
ajst-26901	97	26	,	,	PUNCT
ajst-26901	97	27	j.	j.	PROPN
ajst-26901	97	28	,	,	PUNCT
ajst-26901	97	29	et	et	PROPN
ajst-26901	97	30	al	al	PROPN
ajst-26901	97	31	.	.	PROPN
ajst-26901	98	1	(	(	PUNCT
ajst-26901	98	2	2022	2022	NUM
ajst-26901	98	3	)	)	PUNCT
ajst-26901	98	4	.	.	PUNCT
ajst-26901	99	1	extracting	extract	VERB
ajst-26901	99	2	brillouin	brillouin	NOUN
ajst-26901	99	3	frequency	frequency	NOUN
ajst-26901	99	4	shift	shift	NOUN
ajst-26901	99	5	accurately	accurately	ADV
ajst-26901	99	6	based	base	VERB
ajst-26901	99	7	on	on	ADP
ajst-26901	99	8	particle	particle	NOUN
ajst-26901	99	9	swarm	swarm	NOUN
ajst-26901	99	10	optimization	optimization	NOUN
ajst-26901	99	11	and	and	CCONJ
ajst-26901	99	12	a	a	DET
ajst-26901	99	13	cross	cross	ADJ
ajst-26901	99	14	-	-	ADJ
ajst-26901	99	15	correlation	correlation	ADJ
ajst-26901	99	16	method	method	NOUN
ajst-26901	99	17	.	.	PUNCT
ajst-26901	100	1	applied	apply	VERB
ajst-26901	100	2	optics	optic	NOUN
ajst-26901	100	3	,	,	PUNCT
ajst-26901	100	4	61(2	61(2	NUM
ajst-26901	100	5	)	)	PUNCT
ajst-26901	100	6	,	,	PUNCT
ajst-26901	100	7	446	446	NUM
ajst-26901	100	8	-	-	SYM
ajst-26901	100	9	454	454	NUM
ajst-26901	100	10	.	.	PUNCT
ajst-26901	101	1	[	[	X
ajst-26901	101	2	7	7	X
ajst-26901	101	3	]	]	X
ajst-26901	101	4	sun	sun	NOUN
ajst-26901	101	5	,	,	PUNCT
ajst-26901	101	6	w.	w.	PROPN
ajst-26901	101	7	,	,	PUNCT
ajst-26901	101	8	liu	liu	PROPN
ajst-26901	101	9	,	,	PUNCT
ajst-26901	101	10	h.	h.	PROPN
ajst-26901	101	11	,	,	PUNCT
ajst-26901	101	12	&	&	CCONJ
ajst-26901	101	13	liu	liu	PROPN
ajst-26901	101	14	,	,	PUNCT
ajst-26901	101	15	z.	z.	PROPN
ajst-26901	101	16	(	(	PUNCT
ajst-26901	101	17	2023	2023	NUM
ajst-26901	101	18	)	)	PUNCT
ajst-26901	101	19	.	.	PUNCT
ajst-26901	102	1	a	a	DET
ajst-26901	102	2	regularized	regularize	VERB
ajst-26901	102	3	limited	limited	ADJ
ajst-26901	102	4	memory	memory	NOUN
ajst-26901	102	5	subspace	subspace	NOUN
ajst-26901	102	6	minimization	minimization	NOUN
ajst-26901	102	7	conjugate	conjugate	ADJ
ajst-26901	102	8	gradient	gradient	NOUN
ajst-26901	102	9	method	method	NOUN
ajst-26901	102	10	for	for	ADP
ajst-26901	102	11	unconstrained	unconstrained	ADJ
ajst-26901	102	12	optimization	optimization	NOUN
ajst-26901	102	13	.	.	PUNCT
ajst-26901	103	1	numerical	numerical	ADJ
ajst-26901	103	2	algorithms	algorithms	PROPN
ajst-26901	103	3	,	,	PUNCT
ajst-26901	103	4	94(4	94(4	NUM
ajst-26901	103	5	)	)	PUNCT
ajst-26901	103	6	,	,	PUNCT
ajst-26901	103	7	1919	1919	NUM
ajst-26901	103	8	-	-	SYM
ajst-26901	103	9	1948	1948	NUM
ajst-26901	103	10	.	.	PUNCT
ajst-26901	104	1	[	[	X
ajst-26901	104	2	8	8	NUM
ajst-26901	104	3	]	]	X
ajst-26901	104	4	carmon	carmon	PROPN
ajst-26901	104	5	,	,	PUNCT
ajst-26901	104	6	y.	y.	PROPN
ajst-26901	104	7	,	,	PUNCT
ajst-26901	104	8	&	&	CCONJ
ajst-26901	104	9	duchi	duchi	PROPN
ajst-26901	104	10	,	,	PUNCT
ajst-26901	104	11	j.	j.	PROPN
ajst-26901	104	12	c.	c.	PROPN
ajst-26901	104	13	(	(	PUNCT
ajst-26901	104	14	2020	2020	NUM
ajst-26901	104	15	)	)	PUNCT
ajst-26901	104	16	.	.	PUNCT
ajst-26901	105	1	first	first	ADJ
ajst-26901	105	2	-	-	PUNCT
ajst-26901	105	3	order	order	NOUN
ajst-26901	105	4	methods	method	NOUN
ajst-26901	105	5	for	for	ADP
ajst-26901	105	6	nonconvex	nonconvex	NOUN
ajst-26901	105	7	quadratic	quadratic	ADJ
ajst-26901	105	8	minimization	minimization	NOUN
ajst-26901	105	9	.	.	PUNCT
ajst-26901	106	1	siam	siam	PROPN
ajst-26901	106	2	review	review	PROPN
ajst-26901	106	3	,	,	PUNCT
ajst-26901	106	4	62(2	62(2	NUM
ajst-26901	106	5	)	)	PUNCT
ajst-26901	106	6	,	,	PUNCT
ajst-26901	106	7	395436	395436	NUM
ajst-26901	106	8	.	.	PUNCT
ajst-26901	107	1	[	[	X
ajst-26901	107	2	9	9	NUM
ajst-26901	107	3	]	]	X
ajst-26901	107	4	petrov	petrov	PROPN
ajst-26901	107	5	,	,	PUNCT
ajst-26901	107	6	p.	p.	NOUN
ajst-26901	107	7	v.	v.	PROPN
ajst-26901	107	8	,	,	PUNCT
ajst-26901	107	9	&	&	CCONJ
ajst-26901	107	10	newman	newman	PROPN
ajst-26901	107	11	,	,	PUNCT
ajst-26901	107	12	g.	g.	PROPN
ajst-26901	107	13	a.	a.	PROPN
ajst-26901	107	14	(	(	PUNCT
ajst-26901	107	15	2019	2019	NUM
ajst-26901	107	16	)	)	PUNCT
ajst-26901	107	17	.	.	PUNCT
ajst-26901	108	1	estimation	estimation	NOUN
ajst-26901	108	2	of	of	ADP
ajst-26901	108	3	seismic	seismic	ADJ
ajst-26901	108	4	source	source	NOUN
ajst-26901	108	5	parameters	parameter	NOUN
ajst-26901	108	6	in	in	ADP
ajst-26901	108	7	3d	3d	NUM
ajst-26901	108	8	elastic	elastic	ADJ
ajst-26901	108	9	media	medium	NOUN
ajst-26901	108	10	using	use	VERB
ajst-26901	108	11	the	the	DET
ajst-26901	108	12	reciprocity	reciprocity	NOUN
ajst-26901	108	13	theorem	theorem	VERB
ajst-26901	108	14	.	.	PUNCT
ajst-26901	108	15	geophysics	geophysic	NOUN
ajst-26901	108	16	,	,	PUNCT
ajst-26901	108	17	84(6	84(6	NOUN
ajst-26901	108	18	)	)	PUNCT
ajst-26901	108	19	,	,	PUNCT
ajst-26901	108	20	1	1	NUM
ajst-26901	108	21	-	-	SYM
ajst-26901	108	22	56	56	NUM
ajst-26901	108	23	.	.	PUNCT
ajst-26901	109	1	[	[	X
ajst-26901	109	2	10	10	NUM
ajst-26901	109	3	]	]	X
ajst-26901	109	4	meitei	meitei	NOUN
ajst-26901	109	5	,	,	PUNCT
ajst-26901	109	6	n.	n.	PROPN
ajst-26901	109	7	y.	y.	PROPN
ajst-26901	109	8	,	,	PUNCT
ajst-26901	109	9	baishnab	baishnab	PROPN
ajst-26901	109	10	,	,	PUNCT
ajst-26901	109	11	k.	k.	PROPN
ajst-26901	109	12	l.	l.	PROPN
ajst-26901	109	13	,	,	PUNCT
ajst-26901	109	14	&	&	CCONJ
ajst-26901	109	15	trivedi	trivedi	PROPN
ajst-26901	109	16	,	,	PUNCT
ajst-26901	109	17	g.	g.	PROPN
ajst-26901	109	18	(	(	PUNCT
ajst-26901	109	19	2020	2020	NUM
ajst-26901	109	20	)	)	PUNCT
ajst-26901	109	21	.	.	PUNCT
ajst-26901	110	1	3d‐ic	3d‐ic	NUM
ajst-26901	110	2	partitioning	partition	VERB
ajst-26901	110	3	method	method	NOUN
ajst-26901	110	4	based	base	VERB
ajst-26901	110	5	on	on	ADP
ajst-26901	110	6	genetic	genetic	ADJ
ajst-26901	110	7	algorithm	algorithm	NOUN
ajst-26901	110	8	.	.	PUNCT
ajst-26901	111	1	iet	iet	PROPN
ajst-26901	111	2	circuits	circuit	NOUN
ajst-26901	111	3	,	,	PUNCT
ajst-26901	111	4	devices	device	NOUN
ajst-26901	111	5	&	&	CCONJ
ajst-26901	111	6	systems	system	NOUN
ajst-26901	111	7	,	,	PUNCT
ajst-26901	111	8	14(7	14(7	NUM
ajst-26901	111	9	)	)	PUNCT
ajst-26901	111	10	,	,	PUNCT
ajst-26901	111	11	1104	1104	NUM
ajst-26901	111	12	-	-	SYM
ajst-26901	111	13	1109	1109	NUM
ajst-26901	111	14	.	.	PUNCT
ajst-26901	112	1	[	[	X
ajst-26901	112	2	11	11	NUM
ajst-26901	112	3	]	]	X
ajst-26901	112	4	xie	xie	PROPN
ajst-26901	112	5	,	,	PUNCT
ajst-26901	112	6	h.	h.	PROPN
ajst-26901	112	7	,	,	PUNCT
ajst-26901	112	8	&	&	CCONJ
ajst-26901	112	9	chen	chen	PROPN
ajst-26901	112	10	,	,	PUNCT
ajst-26901	112	11	z.	z.	PROPN
ajst-26901	112	12	g.	g.	PROPN
ajst-26901	112	13	(	(	PUNCT
ajst-26901	112	14	2019	2019	NUM
ajst-26901	112	15	)	)	PUNCT
ajst-26901	112	16	.	.	PUNCT
ajst-26901	113	1	application	application	NOUN
ajst-26901	113	2	of	of	ADP
ajst-26901	113	3	genetic	genetic	ADJ
ajst-26901	113	4	simulated	simulate	VERB
ajst-26901	113	5	annealing	anneal	VERB
ajst-26901	113	6	algorithm	algorithm	NOUN
ajst-26901	113	7	in	in	ADP
ajst-26901	113	8	detection	detection	NOUN
ajst-26901	113	9	of	of	ADP
ajst-26901	113	10	corn	corn	NOUN
ajst-26901	113	11	straw	straw	NOUN
ajst-26901	113	12	cellulose	cellulose	NOUN
ajst-26901	113	13	.	.	PUNCT
ajst-26901	114	1	chinese	chinese	ADJ
ajst-26901	114	2	journal	journal	PROPN
ajst-26901	114	3	of	of	ADP
ajst-26901	114	4	analytical	analytical	ADJ
ajst-26901	114	5	chemistry	chemistry	NOUN
ajst-26901	114	6	,	,	PUNCT
ajst-26901	114	7	47(12	47(12	NUM
ajst-26901	114	8	)	)	PUNCT
ajst-26901	114	9	,	,	PUNCT
ajst-26901	114	10	1987	1987	NUM
ajst-26901	114	11	-	-	SYM
ajst-26901	114	12	1994	1994	NUM
ajst-26901	114	13	.	.	PUNCT