id	sid	tid	token	lemma	pos
cuesj-730	1	1	tx_1	tx_1	PROPN
cuesj-730	1	2	~	~	X
cuesj-730	1	3	abs	ab	NOUN
cuesj-730	1	4	:	:	PUNCT
cuesj-730	1	5	at	at	ADP
cuesj-730	1	6	/	/	SYM
cuesj-730	1	7	add	add	VERB
cuesj-730	1	8	:	:	PUNCT
cuesj-730	1	9	tx_2	tx_2	PROPN
cuesj-730	1	10	~	~	NOUN
cuesj-730	1	11	abs	ab	NOUN
cuesj-730	1	12	:	:	PUNCT
cuesj-730	1	13	at	at	ADP
cuesj-730	1	14	41	41	NUM
cuesj-730	1	15	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-730	1	16	cuesj	cuesj	ADJ
cuesj-730	1	17	2022	2022	NUM
cuesj-730	1	18	,	,	PUNCT
cuesj-730	1	19	6	6	NUM
cuesj-730	1	20	(	(	PUNCT
cuesj-730	1	21	2	2	NUM
cuesj-730	1	22	):	):	PUNCT
cuesj-730	1	23	41	41	NUM
cuesj-730	1	24	-	-	SYM
cuesj-730	1	25	48	48	NUM
cuesj-730	1	26	research	research	NOUN
cuesj-730	1	27	article	article	NOUN
cuesj-730	1	28	route	route	NOUN
cuesj-730	1	29	discovery	discovery	PROPN
cuesj-730	1	30	development	development	NOUN
cuesj-730	1	31	for	for	ADP
cuesj-730	1	32	multiple	multiple	ADJ
cuesj-730	1	33	destination	destination	NOUN
cuesj-730	1	34	using	use	VERB
cuesj-730	1	35	artificial	artificial	ADJ
cuesj-730	1	36	ant	ant	ADJ
cuesj-730	1	37	colony	colony	NOUN
cuesj-730	1	38	:	:	PUNCT
cuesj-730	2	1	google	google	NOUN
cuesj-730	2	2	map	map	NOUN
cuesj-730	2	3	case	case	NOUN
cuesj-730	2	4	study	study	NOUN
cuesj-730	2	5	reem	reem	PROPN
cuesj-730	2	6	j.	j.	PROPN
cuesj-730	2	7	ismail1	ismail1	PROPN
cuesj-730	2	8	,	,	PUNCT
cuesj-730	2	9	mohammed	mohammed	PROPN
cuesj-730	2	10	h.	h.	PROPN
cuesj-730	2	11	shukur1	shukur1	PROPN
cuesj-730	2	12	,	,	PUNCT
cuesj-730	2	13	samar	samar	PROPN
cuesj-730	2	14	j.	j.	PROPN
cuesj-730	2	15	ismael2	ismael2	PROPN
cuesj-730	2	16	1department	1department	NUM
cuesj-730	2	17	of	of	ADP
cuesj-730	2	18	computer	computer	NOUN
cuesj-730	2	19	science	science	NOUN
cuesj-730	2	20	,	,	PUNCT
cuesj-730	2	21	cihan	cihan	VERB
cuesj-730	2	22	university	university	NOUN
cuesj-730	2	23	-	-	PUNCT
cuesj-730	2	24	erbil	erbil	PROPN
cuesj-730	2	25	,	,	PUNCT
cuesj-730	2	26	kurdistan	kurdistan	PROPN
cuesj-730	2	27	region	region	NOUN
cuesj-730	2	28	,	,	PUNCT
cuesj-730	2	29	iraq	iraq	PROPN
cuesj-730	2	30	,	,	PUNCT
cuesj-730	2	31	2department	2department	NUM
cuesj-730	2	32	of	of	ADP
cuesj-730	2	33	electromechanical	electromechanical	ADJ
cuesj-730	2	34	engineering	engineering	NOUN
cuesj-730	2	35	,	,	PUNCT
cuesj-730	2	36	university	university	NOUN
cuesj-730	2	37	of	of	ADP
cuesj-730	2	38	technology	technology	NOUN
cuesj-730	2	39	,	,	PUNCT
cuesj-730	2	40	baghdad	baghdad	PROPN
cuesj-730	2	41	,	,	PUNCT
cuesj-730	2	42	iraq	iraq	PROPN
cuesj-730	2	43	abstract	abstract	ADJ
cuesj-730	2	44	smart	smart	ADJ
cuesj-730	2	45	cities	city	NOUN
cuesj-730	2	46	need	need	VERB
cuesj-730	2	47	smart	smart	ADJ
cuesj-730	2	48	application	application	NOUN
cuesj-730	2	49	for	for	ADP
cuesj-730	2	50	the	the	DET
cuesj-730	2	51	citizen	citizen	NOUN
cuesj-730	2	52	not	not	PART
cuesj-730	2	53	just	just	ADV
cuesj-730	2	54	digital	digital	ADJ
cuesj-730	2	55	devices	device	NOUN
cuesj-730	2	56	.	.	PUNCT
cuesj-730	3	1	the	the	DET
cuesj-730	3	2	smart	smart	ADJ
cuesj-730	3	3	applications	application	NOUN
cuesj-730	3	4	will	will	AUX
cuesj-730	3	5	provide	provide	VERB
cuesj-730	3	6	a	a	DET
cuesj-730	3	7	decision	decision	NOUN
cuesj-730	3	8	-	-	PUNCT
cuesj-730	3	9	making	making	NOUN
cuesj-730	3	10	to	to	ADP
cuesj-730	3	11	users	user	NOUN
cuesj-730	3	12	using	use	VERB
cuesj-730	3	13	artificial	artificial	ADJ
cuesj-730	3	14	intelligence	intelligence	NOUN
cuesj-730	3	15	.	.	PUNCT
cuesj-730	4	1	many	many	ADJ
cuesj-730	4	2	real	real	ADJ
cuesj-730	4	3	-	-	PUNCT
cuesj-730	4	4	world	world	NOUN
cuesj-730	4	5	services	service	NOUN
cuesj-730	4	6	for	for	ADP
cuesj-730	4	7	online	online	ADJ
cuesj-730	4	8	shopping	shopping	NOUN
cuesj-730	4	9	and	and	CCONJ
cuesj-730	4	10	delivery	delivery	NOUN
cuesj-730	4	11	systems	system	NOUN
cuesj-730	4	12	were	be	AUX
cuesj-730	4	13	used	use	VERB
cuesj-730	4	14	and	and	CCONJ
cuesj-730	4	15	attract	attract	VERB
cuesj-730	4	16	customers	customer	NOUN
cuesj-730	4	17	,	,	PUNCT
cuesj-730	4	18	especially	especially	ADV
cuesj-730	4	19	after	after	ADP
cuesj-730	4	20	covid-19	covid-19	PROPN
cuesj-730	4	21	pandemics	pandemic	NOUN
cuesj-730	4	22	,	,	PUNCT
cuesj-730	4	23	where	where	SCONJ
cuesj-730	4	24	people	people	NOUN
cuesj-730	4	25	prefer	prefer	VERB
cuesj-730	4	26	to	to	PART
cuesj-730	4	27	keep	keep	VERB
cuesj-730	4	28	social	social	ADJ
cuesj-730	4	29	distance	distance	NOUN
cuesj-730	4	30	and	and	CCONJ
cuesj-730	4	31	minimize	minimize	VERB
cuesj-730	4	32	social	social	ADJ
cuesj-730	4	33	places	place	NOUN
cuesj-730	4	34	visiting	visit	VERB
cuesj-730	4	35	.	.	PUNCT
cuesj-730	5	1	these	these	DET
cuesj-730	5	2	services	service	NOUN
cuesj-730	5	3	need	need	VERB
cuesj-730	5	4	to	to	PART
cuesj-730	5	5	discover	discover	VERB
cuesj-730	5	6	a	a	DET
cuesj-730	5	7	shortest	short	ADJ
cuesj-730	5	8	path	path	NOUN
cuesj-730	5	9	for	for	ADP
cuesj-730	5	10	the	the	DET
cuesj-730	5	11	delivery	delivery	NOUN
cuesj-730	5	12	driver	driver	NOUN
cuesj-730	5	13	to	to	PART
cuesj-730	5	14	visit	visit	VERB
cuesj-730	5	15	multiple	multiple	ADJ
cuesj-730	5	16	destination	destination	NOUN
cuesj-730	5	17	and	and	CCONJ
cuesj-730	5	18	serve	serve	VERB
cuesj-730	5	19	the	the	DET
cuesj-730	5	20	customers	customer	NOUN
cuesj-730	5	21	.	.	PUNCT
cuesj-730	6	1	the	the	DET
cuesj-730	6	2	aim	aim	NOUN
cuesj-730	6	3	of	of	ADP
cuesj-730	6	4	this	this	DET
cuesj-730	6	5	research	research	NOUN
cuesj-730	6	6	is	be	AUX
cuesj-730	6	7	to	to	PART
cuesj-730	6	8	develop	develop	VERB
cuesj-730	6	9	the	the	DET
cuesj-730	6	10	route	route	NOUN
cuesj-730	6	11	discovery	discovery	NOUN
cuesj-730	6	12	for	for	ADP
cuesj-730	6	13	multiple	multiple	ADJ
cuesj-730	6	14	-	-	PUNCT
cuesj-730	6	15	destination	destination	NOUN
cuesj-730	6	16	using	use	VERB
cuesj-730	6	17	ant	ant	ADJ
cuesj-730	6	18	colony	colony	NOUN
cuesj-730	6	19	optimization	optimization	NOUN
cuesj-730	6	20	(	(	PUNCT
cuesj-730	6	21	aco	aco	PROPN
cuesj-730	6	22	)	)	PUNCT
cuesj-730	6	23	algorithm	algorithm	NOUN
cuesj-730	6	24	for	for	ADP
cuesj-730	6	25	multiple	multiple	ADJ
cuesj-730	6	26	destination	destination	NOUN
cuesj-730	6	27	route	route	NOUN
cuesj-730	6	28	planning	planning	NOUN
cuesj-730	6	29	.	.	PUNCT
cuesj-730	7	1	aco	aco	PROPN
cuesj-730	7	2	algorithm	algorithm	PROPN
cuesj-730	7	3	for	for	ADP
cuesj-730	7	4	multiple	multiple	ADJ
cuesj-730	7	5	destination	destination	NOUN
cuesj-730	7	6	route	route	NOUN
cuesj-730	7	7	planning	planning	NOUN
cuesj-730	7	8	develops	develop	VERB
cuesj-730	7	9	the	the	DET
cuesj-730	7	10	google	google	PROPN
cuesj-730	7	11	map	map	NOUN
cuesj-730	7	12	application	application	NOUN
cuesj-730	7	13	to	to	PART
cuesj-730	7	14	optimize	optimize	VERB
cuesj-730	7	15	the	the	DET
cuesj-730	7	16	route	route	NOUN
cuesj-730	7	17	when	when	SCONJ
cuesj-730	7	18	it	it	PRON
cuesj-730	7	19	is	be	AUX
cuesj-730	7	20	used	use	VERB
cuesj-730	7	21	for	for	ADP
cuesj-730	7	22	multiple	multiple	ADJ
cuesj-730	7	23	destination	destination	NOUN
cuesj-730	7	24	and	and	CCONJ
cuesj-730	7	25	when	when	SCONJ
cuesj-730	7	26	the	the	DET
cuesj-730	7	27	route	route	NOUN
cuesj-730	7	28	is	be	AUX
cuesj-730	7	29	updated	update	VERB
cuesj-730	7	30	with	with	ADP
cuesj-730	7	31	a	a	DET
cuesj-730	7	32	new	new	ADJ
cuesj-730	7	33	destination	destination	NOUN
cuesj-730	7	34	.	.	PUNCT
cuesj-730	8	1	the	the	DET
cuesj-730	8	2	results	result	NOUN
cuesj-730	8	3	show	show	VERB
cuesj-730	8	4	improvement	improvement	NOUN
cuesj-730	8	5	in	in	ADP
cuesj-730	8	6	the	the	DET
cuesj-730	8	7	multiple	multiple	ADJ
cuesj-730	8	8	destination	destination	NOUN
cuesj-730	8	9	route	route	NOUN
cuesj-730	8	10	discovery	discovery	NOUN
cuesj-730	8	11	when	when	SCONJ
cuesj-730	8	12	the	the	DET
cuesj-730	8	13	shortest	short	ADJ
cuesj-730	8	14	path	path	NOUN
cuesj-730	8	15	and	and	CCONJ
cuesj-730	8	16	the	the	DET
cuesj-730	8	17	sequence	sequence	NOUN
cuesj-730	8	18	order	order	NOUN
cuesj-730	8	19	of	of	ADP
cuesj-730	8	20	cities	city	NOUN
cuesj-730	8	21	are	be	AUX
cuesj-730	8	22	found	find	VERB
cuesj-730	8	23	.	.	PUNCT
cuesj-730	9	1	as	as	ADP
cuesj-730	9	2	a	a	DET
cuesj-730	9	3	conclusion	conclusion	NOUN
cuesj-730	9	4	,	,	PUNCT
cuesj-730	9	5	the	the	DET
cuesj-730	9	6	aco	aco	PROPN
cuesj-730	9	7	algorithm	algorithm	NOUN
cuesj-730	9	8	for	for	ADP
cuesj-730	9	9	multiple	multiple	ADJ
cuesj-730	9	10	destination	destination	NOUN
cuesj-730	9	11	route	route	NOUN
cuesj-730	9	12	planning	planning	NOUN
cuesj-730	9	13	simulation	simulation	NOUN
cuesj-730	9	14	results	result	NOUN
cuesj-730	9	15	could	could	AUX
cuesj-730	9	16	be	be	AUX
cuesj-730	9	17	used	use	VERB
cuesj-730	9	18	with	with	ADP
cuesj-730	9	19	google	google	PROPN
cuesj-730	9	20	map	map	NOUN
cuesj-730	9	21	application	application	NOUN
cuesj-730	9	22	and	and	CCONJ
cuesj-730	9	23	provide	provide	VERB
cuesj-730	9	24	an	an	DET
cuesj-730	9	25	artificial	artificial	ADJ
cuesj-730	9	26	decision	decision	NOUN
cuesj-730	9	27	for	for	ADP
cuesj-730	9	28	the	the	DET
cuesj-730	9	29	citizen	citizen	NOUN
cuesj-730	9	30	in	in	ADP
cuesj-730	9	31	erbil	erbil	PROPN
cuesj-730	9	32	city	city	PROPN
cuesj-730	9	33	.	.	PUNCT
cuesj-730	10	1	finally	finally	ADV
cuesj-730	10	2	,	,	PUNCT
cuesj-730	10	3	we	we	PRON
cuesj-730	10	4	discuss	discuss	VERB
cuesj-730	10	5	our	our	PRON
cuesj-730	10	6	vision	vision	NOUN
cuesj-730	10	7	for	for	ADP
cuesj-730	10	8	future	future	ADJ
cuesj-730	10	9	development	development	NOUN
cuesj-730	10	10	.	.	PUNCT
cuesj-730	11	1	keywords	keyword	NOUN
cuesj-730	11	2	:	:	PUNCT
cuesj-730	11	3	multiple	multiple	ADJ
cuesj-730	11	4	destination	destination	NOUN
cuesj-730	11	5	route	route	NOUN
cuesj-730	11	6	discovery	discovery	NOUN
cuesj-730	11	7	,	,	PUNCT
cuesj-730	11	8	google	google	PROPN
cuesj-730	11	9	map	map	NOUN
cuesj-730	11	10	application	application	NOUN
cuesj-730	11	11	,	,	PUNCT
cuesj-730	11	12	the	the	DET
cuesj-730	11	13	shortest	short	ADJ
cuesj-730	11	14	path	path	NOUN
cuesj-730	11	15	,	,	PUNCT
cuesj-730	11	16	ant	ant	ADJ
cuesj-730	11	17	colony	colony	NOUN
cuesj-730	11	18	optimization	optimization	NOUN
cuesj-730	11	19	algorithm	algorithm	NOUN
cuesj-730	11	20	introduction	introduction	NOUN
cuesj-730	11	21	smart	smart	ADJ
cuesj-730	11	22	cities	city	NOUN
cuesj-730	11	23	use	use	VERB
cuesj-730	11	24	intelligent	intelligent	ADJ
cuesj-730	11	25	systems	system	NOUN
cuesj-730	11	26	for	for	ADP
cuesj-730	11	27	decision	decision	NOUN
cuesj-730	11	28	-	-	PUNCT
cuesj-730	11	29	making	making	NOUN
cuesj-730	11	30	and	and	CCONJ
cuesj-730	11	31	optimization	optimization	NOUN
cuesj-730	11	32	to	to	PART
cuesj-730	11	33	provide	provide	VERB
cuesj-730	11	34	city	city	NOUN
cuesj-730	11	35	management	management	NOUN
cuesj-730	11	36	and	and	CCONJ
cuesj-730	11	37	citizens	citizen	NOUN
cuesj-730	11	38	services	service	NOUN
cuesj-730	11	39	.	.	PUNCT
cuesj-730	12	1	there	there	PRON
cuesj-730	12	2	are	be	VERB
cuesj-730	12	3	many	many	ADJ
cuesj-730	12	4	applications	application	NOUN
cuesj-730	12	5	for	for	ADP
cuesj-730	12	6	smart	smart	ADJ
cuesj-730	12	7	city	city	NOUN
cuesj-730	12	8	such	such	ADJ
cuesj-730	12	9	as	as	ADP
cuesj-730	12	10	:	:	PUNCT
cuesj-730	12	11	transportation	transportation	NOUN
cuesj-730	12	12	,	,	PUNCT
cuesj-730	12	13	healthcare	healthcare	PROPN
cuesj-730	12	14	,	,	PUNCT
cuesj-730	12	15	environment	environment	NOUN
cuesj-730	12	16	,	,	PUNCT
cuesj-730	12	17	and	and	CCONJ
cuesj-730	12	18	public	public	ADJ
cuesj-730	12	19	safety.[1	safety.[1	NOUN
cuesj-730	12	20	]	]	PUNCT
cuesj-730	12	21	to	to	PART
cuesj-730	12	22	have	have	VERB
cuesj-730	12	23	a	a	DET
cuesj-730	12	24	city	city	NOUN
cuesj-730	12	25	with	with	ADP
cuesj-730	12	26	“	"	PUNCT
cuesj-730	12	27	smart	smart	ADJ
cuesj-730	12	28	”	"	PUNCT
cuesj-730	12	29	infrastructure	infrastructure	NOUN
cuesj-730	12	30	,	,	PUNCT
cuesj-730	12	31	it	it	PRON
cuesj-730	12	32	needs	need	VERB
cuesj-730	12	33	to	to	PART
cuesj-730	12	34	develop	develop	VERB
cuesj-730	12	35	three	three	NUM
cuesj-730	12	36	layers	layer	NOUN
cuesj-730	12	37	of	of	ADP
cuesj-730	12	38	“	"	PUNCT
cuesj-730	12	39	smartness	smartness	NOUN
cuesj-730	12	40	”	"	PUNCT
cuesj-730	12	41	as	as	SCONJ
cuesj-730	12	42	follows	follow	VERB
cuesj-730	12	43	:	:	PUNCT
cuesj-730	12	44	[	[	X
cuesj-730	12	45	2,3	2,3	NUM
cuesj-730	12	46	]	]	SYM
cuesj-730	12	47	•	•	ADP
cuesj-730	12	48	the	the	DET
cuesj-730	12	49	application	application	NOUN
cuesj-730	12	50	layer	layer	NOUN
cuesj-730	12	51	for	for	ADP
cuesj-730	12	52	end	end	NOUN
cuesj-730	12	53	users	user	NOUN
cuesj-730	12	54	that	that	PRON
cuesj-730	12	55	interact	interact	VERB
cuesj-730	12	56	directly	directly	ADV
cuesj-730	12	57	with	with	ADP
cuesj-730	12	58	the	the	DET
cuesj-730	12	59	user	user	NOUN
cuesj-730	12	60	and	and	CCONJ
cuesj-730	12	61	consists	consist	VERB
cuesj-730	12	62	of	of	ADP
cuesj-730	12	63	the	the	DET
cuesj-730	12	64	deployment	deployment	NOUN
cuesj-730	12	65	of	of	ADP
cuesj-730	12	66	smart	smart	ADJ
cuesj-730	12	67	applications	application	NOUN
cuesj-730	12	68	•	•	ADP
cuesj-730	12	69	the	the	DET
cuesj-730	12	70	service	service	NOUN
cuesj-730	12	71	-	-	PUNCT
cuesj-730	12	72	oriented	orient	VERB
cuesj-730	12	73	middleware	middleware	NOUN
cuesj-730	12	74	layer	layer	NOUN
cuesj-730	12	75	that	that	PRON
cuesj-730	12	76	processes	process	VERB
cuesj-730	12	77	big	big	ADJ
cuesj-730	12	78	data	datum	NOUN
cuesj-730	12	79	and	and	CCONJ
cuesj-730	12	80	real	real	ADJ
cuesj-730	12	81	-	-	PUNCT
cuesj-730	12	82	time	time	NOUN
cuesj-730	12	83	analysis	analysis	NOUN
cuesj-730	12	84	that	that	PRON
cuesj-730	12	85	support	support	VERB
cuesj-730	12	86	smart	smart	ADJ
cuesj-730	12	87	city	city	NOUN
cuesj-730	12	88	applications	application	NOUN
cuesj-730	12	89	•	•	NUM
cuesj-730	12	90	data	datum	NOUN
cuesj-730	12	91	acquisition	acquisition	NOUN
cuesj-730	12	92	layer	layer	NOUN
cuesj-730	12	93	base	base	NOUN
cuesj-730	12	94	on	on	ADP
cuesj-730	12	95	sensors	sensor	NOUN
cuesj-730	12	96	connected	connect	VERB
cuesj-730	12	97	in	in	ADP
cuesj-730	12	98	networks	network	NOUN
cuesj-730	12	99	to	to	PART
cuesj-730	12	100	gather	gather	VERB
cuesj-730	12	101	data	datum	NOUN
cuesj-730	12	102	.	.	PUNCT
cuesj-730	13	1	figure	figure	NOUN
cuesj-730	13	2	1	1	NUM
cuesj-730	13	3	shows	show	VERB
cuesj-730	13	4	three	three	NUM
cuesj-730	13	5	layers	layer	NOUN
cuesj-730	13	6	for	for	ADP
cuesj-730	13	7	smart	smart	ADJ
cuesj-730	13	8	city.[2	city.[2	NOUN
cuesj-730	13	9	]	]	PUNCT
cuesj-730	13	10	route	route	NOUN
cuesj-730	13	11	planning	planning	NOUN
cuesj-730	13	12	methods	method	NOUN
cuesj-730	13	13	for	for	ADP
cuesj-730	13	14	multiple	multiple	ADJ
cuesj-730	13	15	destination	destination	NOUN
cuesj-730	13	16	have	have	AUX
cuesj-730	13	17	been	be	AUX
cuesj-730	13	18	applied	apply	VERB
cuesj-730	13	19	to	to	ADP
cuesj-730	13	20	real	real	ADJ
cuesj-730	13	21	-	-	PUNCT
cuesj-730	13	22	world	world	NOUN
cuesj-730	13	23	applications	application	NOUN
cuesj-730	13	24	and	and	CCONJ
cuesj-730	13	25	needed	need	VERB
cuesj-730	13	26	in	in	ADP
cuesj-730	13	27	smart	smart	ADJ
cuesj-730	13	28	cities	city	NOUN
cuesj-730	13	29	services	service	NOUN
cuesj-730	13	30	such	such	ADJ
cuesj-730	13	31	as	as	ADP
cuesj-730	13	32	:	:	PUNCT
cuesj-730	13	33	delivery	delivery	NOUN
cuesj-730	13	34	service	service	NOUN
cuesj-730	13	35	around	around	ADP
cuesj-730	13	36	the	the	DET
cuesj-730	13	37	city	city	NOUN
cuesj-730	13	38	for	for	ADP
cuesj-730	13	39	restaurants	restaurant	NOUN
cuesj-730	13	40	,	,	PUNCT
cuesj-730	13	41	online	online	ADJ
cuesj-730	13	42	shopping	shopping	NOUN
cuesj-730	13	43	needs	need	VERB
cuesj-730	13	44	multiple	multiple	ADJ
cuesj-730	13	45	shipping	shipping	NOUN
cuesj-730	13	46	destinations	destination	NOUN
cuesj-730	13	47	,	,	PUNCT
cuesj-730	13	48	route	route	NOUN
cuesj-730	13	49	planning	planning	NOUN
cuesj-730	13	50	for	for	ADP
cuesj-730	13	51	companies	company	NOUN
cuesj-730	13	52	and	and	CCONJ
cuesj-730	13	53	delivery	delivery	NOUN
cuesj-730	13	54	agents	agent	NOUN
cuesj-730	13	55	,	,	PUNCT
cuesj-730	13	56	and	and	CCONJ
cuesj-730	13	57	generating	generate	VERB
cuesj-730	13	58	navigation	navigation	NOUN
cuesj-730	13	59	map	map	NOUN
cuesj-730	13	60	to	to	PART
cuesj-730	13	61	help	help	VERB
cuesj-730	13	62	the	the	DET
cuesj-730	13	63	tourist	tourist	NOUN
cuesj-730	13	64	to	to	PART
cuesj-730	13	65	visit	visit	VERB
cuesj-730	13	66	multiple	multiple	ADJ
cuesj-730	13	67	destination.[4,5	destination.[4,5	NOUN
cuesj-730	13	68	]	]	X
cuesj-730	13	69	route	route	NOUN
cuesj-730	13	70	planning	planning	NOUN
cuesj-730	13	71	can	can	AUX
cuesj-730	13	72	be	be	AUX
cuesj-730	13	73	classified	classify	VERB
cuesj-730	13	74	mainly	mainly	ADV
cuesj-730	13	75	into	into	ADP
cuesj-730	13	76	:	:	PUNCT
cuesj-730	13	77	single	single	ADJ
cuesj-730	13	78	destination	destination	NOUN
cuesj-730	13	79	route	route	NOUN
cuesj-730	13	80	planning	planning	NOUN
cuesj-730	13	81	and	and	CCONJ
cuesj-730	13	82	multiple	multiple	ADJ
cuesj-730	13	83	destinations	destination	NOUN
cuesj-730	13	84	route	route	NOUN
cuesj-730	13	85	planning	planning	NOUN
cuesj-730	13	86	.	.	PUNCT
cuesj-730	14	1	single	single	ADJ
cuesj-730	14	2	destination	destination	NOUN
cuesj-730	14	3	route	route	NOUN
cuesj-730	14	4	planning	planning	NOUN
cuesj-730	14	5	is	be	AUX
cuesj-730	14	6	based	base	VERB
cuesj-730	14	7	on	on	ADP
cuesj-730	14	8	finding	find	VERB
cuesj-730	14	9	a	a	DET
cuesj-730	14	10	single	single	ADJ
cuesj-730	14	11	destination	destination	NOUN
cuesj-730	14	12	path	path	NOUN
cuesj-730	14	13	from	from	ADP
cuesj-730	14	14	the	the	DET
cuesj-730	14	15	source	source	NOUN
cuesj-730	14	16	,	,	PUNCT
cuesj-730	14	17	and	and	CCONJ
cuesj-730	14	18	usually	usually	ADV
cuesj-730	14	19	,	,	PUNCT
cuesj-730	14	20	finding	find	VERB
cuesj-730	14	21	the	the	DET
cuesj-730	14	22	shortest	short	ADJ
cuesj-730	14	23	path	path	NOUN
cuesj-730	14	24	is	be	AUX
cuesj-730	14	25	the	the	DET
cuesj-730	14	26	main	main	ADJ
cuesj-730	14	27	target	target	NOUN
cuesj-730	14	28	.	.	PUNCT
cuesj-730	15	1	dijkstra	dijkstra	PROPN
cuesj-730	15	2	’s	’s	PART
cuesj-730	15	3	algorithm	algorithm	NOUN
cuesj-730	15	4	is	be	AUX
cuesj-730	15	5	the	the	DET
cuesj-730	15	6	most	most	ADJ
cuesj-730	15	7	algorithm	algorithm	NOUN
cuesj-730	15	8	for	for	ADP
cuesj-730	15	9	finding	find	VERB
cuesj-730	15	10	the	the	DET
cuesj-730	15	11	shortest	short	ADJ
cuesj-730	15	12	path	path	NOUN
cuesj-730	15	13	from	from	ADP
cuesj-730	15	14	the	the	DET
cuesj-730	15	15	source	source	NOUN
cuesj-730	15	16	node	node	NOUN
cuesj-730	15	17	to	to	ADP
cuesj-730	15	18	the	the	DET
cuesj-730	15	19	destination	destination	NOUN
cuesj-730	15	20	node	node	NOUN
cuesj-730	15	21	,	,	PUNCT
cuesj-730	15	22	where	where	SCONJ
cuesj-730	15	23	the	the	DET
cuesj-730	15	24	algorithm	algorithm	NOUN
cuesj-730	15	25	creates	create	VERB
cuesj-730	15	26	a	a	DET
cuesj-730	15	27	tree	tree	NOUN
cuesj-730	15	28	using	use	VERB
cuesj-730	15	29	the	the	DET
cuesj-730	15	30	weighted	weight	VERB
cuesj-730	15	31	graph	graph	NOUN
cuesj-730	15	32	to	to	ADP
cuesj-730	15	33	all	all	DET
cuesj-730	15	34	other	other	ADJ
cuesj-730	15	35	nodes	node	NOUN
cuesj-730	15	36	also	also	ADV
cuesj-730	15	37	the	the	DET
cuesj-730	15	38	depth	depth	NOUN
cuesj-730	15	39	first	first	ADJ
cuesj-730	15	40	search	search	NOUN
cuesj-730	15	41	and	and	CCONJ
cuesj-730	15	42	the	the	DET
cuesj-730	15	43	k	k	NOUN
cuesj-730	15	44	-	-	PUNCT
cuesj-730	15	45	shortest	short	ADJ
cuesj-730	15	46	path	path	NOUN
cuesj-730	15	47	algorithms	algorithm	NOUN
cuesj-730	15	48	are	be	AUX
cuesj-730	15	49	used	use	VERB
cuesj-730	15	50	for	for	ADP
cuesj-730	15	51	optimizing	optimize	VERB
cuesj-730	15	52	shortest	short	ADJ
cuesj-730	15	53	path	path	NOUN
cuesj-730	15	54	in	in	ADP
cuesj-730	15	55	networks.[6	networks.[6	NOUN
cuesj-730	15	56	-	-	SYM
cuesj-730	15	57	9	9	NUM
cuesj-730	15	58	]	]	PUNCT
cuesj-730	15	59	in	in	ADP
cuesj-730	15	60	multiple	multiple	ADJ
cuesj-730	15	61	destination	destination	NOUN
cuesj-730	15	62	route	route	NOUN
cuesj-730	15	63	planning	planning	NOUN
cuesj-730	15	64	,	,	PUNCT
cuesj-730	15	65	traveling	travel	VERB
cuesj-730	15	66	salesman	salesman	ADJ
cuesj-730	15	67	problem	problem	NOUN
cuesj-730	15	68	(	(	PUNCT
cuesj-730	15	69	tsp	tsp	NOUN
cuesj-730	15	70	)	)	PUNCT
cuesj-730	15	71	is	be	AUX
cuesj-730	15	72	a	a	DET
cuesj-730	15	73	one	one	NUM
cuesj-730	15	74	of	of	ADP
cuesj-730	15	75	the	the	DET
cuesj-730	15	76	scheduling	scheduling	NOUN
cuesj-730	15	77	and	and	CCONJ
cuesj-730	15	78	planning	planning	NOUN
cuesj-730	15	79	methods	method	NOUN
cuesj-730	15	80	that	that	PRON
cuesj-730	15	81	visit	visit	VERB
cuesj-730	15	82	the	the	DET
cuesj-730	15	83	multiple	multiple	ADJ
cuesj-730	15	84	destinations	destination	NOUN
cuesj-730	15	85	,	,	PUNCT
cuesj-730	15	86	where	where	SCONJ
cuesj-730	15	87	a	a	DET
cuesj-730	15	88	set	set	NOUN
cuesj-730	15	89	of	of	ADP
cuesj-730	15	90	destinations	destination	NOUN
cuesj-730	15	91	corresponding	correspond	VERB
cuesj-730	15	92	author	author	NOUN
cuesj-730	15	93	:	:	PUNCT
cuesj-730	15	94	reem	reem	PROPN
cuesj-730	15	95	j.	j.	PROPN
cuesj-730	15	96	ismail	ismail	PROPN
cuesj-730	15	97	,	,	PUNCT
cuesj-730	15	98	department	department	NOUN
cuesj-730	15	99	of	of	ADP
cuesj-730	15	100	computer	computer	NOUN
cuesj-730	15	101	science	science	NOUN
cuesj-730	15	102	,	,	PUNCT
cuesj-730	15	103	cihan	cihan	NOUN
cuesj-730	15	104	universityerbil	universityerbil	NOUN
cuesj-730	15	105	,	,	PUNCT
cuesj-730	15	106	kurdistan	kurdistan	PROPN
cuesj-730	15	107	region	region	NOUN
cuesj-730	15	108	,	,	PUNCT
cuesj-730	15	109	iraq	iraq	PROPN
cuesj-730	15	110	.	.	PUNCT
cuesj-730	16	1	e	e	X
cuesj-730	16	2	-	-	NOUN
cuesj-730	16	3	mail	mail	NOUN
cuesj-730	16	4	:	:	PUNCT
cuesj-730	16	5	reem.jafar@cihanuniversity.edu.iq	reem.jafar@cihanuniversity.edu.iq	NOUN
cuesj-730	16	6	received	receive	VERB
cuesj-730	16	7	:	:	PUNCT
cuesj-730	16	8	june	june	PROPN
cuesj-730	16	9	20	20	NUM
cuesj-730	16	10	,	,	PUNCT
cuesj-730	16	11	2022	2022	NUM
cuesj-730	16	12	accepted	accept	VERB
cuesj-730	16	13	:	:	PUNCT
cuesj-730	16	14	august	august	PROPN
cuesj-730	16	15	03	03	NUM
cuesj-730	16	16	,	,	PUNCT
cuesj-730	16	17	2022	2022	NUM
cuesj-730	16	18	published	publish	VERB
cuesj-730	16	19	:	:	PUNCT
cuesj-730	16	20	august	august	PROPN
cuesj-730	16	21	20	20	NUM
cuesj-730	16	22	,	,	PUNCT
cuesj-730	16	23	2022	2022	NUM
cuesj-730	16	24	doi	doi	NOUN
cuesj-730	16	25	:	:	PUNCT
cuesj-730	16	26	10.24086	10.24086	NUM
cuesj-730	16	27	/	/	SYM
cuesj-730	16	28	cuesj.v6n2y2022.pp41	cuesj.v6n2y2022.pp41	NOUN
cuesj-730	16	29	-	-	SYM
cuesj-730	16	30	48	48	NUM
cuesj-730	16	31	copyright	copyright	NOUN
cuesj-730	16	32	©	©	PROPN
cuesj-730	16	33	2022	2022	NUM
cuesj-730	16	34	reem	reem	PROPN
cuesj-730	16	35	j.	j.	PROPN
cuesj-730	16	36	ismail	ismail	PROPN
cuesj-730	16	37	,	,	PUNCT
cuesj-730	16	38	mohammed	mohammed	PROPN
cuesj-730	16	39	h.	h.	PROPN
cuesj-730	16	40	shukur	shukur	PROPN
cuesj-730	16	41	,	,	PUNCT
cuesj-730	16	42	samar	samar	PROPN
cuesj-730	16	43	j.	j.	PROPN
cuesj-730	16	44	ismael	ismael	PROPN
cuesj-730	16	45	.	.	PUNCT
cuesj-730	17	1	this	this	PRON
cuesj-730	17	2	is	be	AUX
cuesj-730	17	3	an	an	DET
cuesj-730	17	4	open	open	ADJ
cuesj-730	17	5	-	-	PUNCT
cuesj-730	17	6	access	access	NOUN
cuesj-730	17	7	article	article	NOUN
cuesj-730	17	8	distributed	distribute	VERB
cuesj-730	17	9	under	under	ADP
cuesj-730	17	10	the	the	DET
cuesj-730	17	11	creative	creative	ADJ
cuesj-730	17	12	commons	common	NOUN
cuesj-730	17	13	attribution	attribution	NOUN
cuesj-730	17	14	license	license	NOUN
cuesj-730	17	15	(	(	PUNCT
cuesj-730	17	16	cc	cc	NOUN
cuesj-730	17	17	by	by	ADP
cuesj-730	17	18	-	-	PUNCT
cuesj-730	17	19	nc	nc	VERB
cuesj-730	17	20	-	-	PROPN
cuesj-730	17	21	nd	nd	PRON
cuesj-730	17	22	4.0	4.0	NUM
cuesj-730	17	23	)	)	PUNCT
cuesj-730	17	24	.	.	PUNCT
cuesj-730	18	1	cihan	cihan	VERB
cuesj-730	18	2	university	university	NOUN
cuesj-730	18	3	-	-	PUNCT
cuesj-730	18	4	erbil	erbil	PROPN
cuesj-730	18	5	scientific	scientific	ADJ
cuesj-730	18	6	journal	journal	NOUN
cuesj-730	18	7	(	(	PUNCT
cuesj-730	18	8	cuesj	cuesj	PROPN
cuesj-730	18	9	)	)	PUNCT
cuesj-730	18	10	figure	figure	NOUN
cuesj-730	18	11	1	1	NUM
cuesj-730	18	12	:	:	PUNCT
cuesj-730	18	13	layers	layer	NOUN
cuesj-730	18	14	of	of	ADP
cuesj-730	18	15	smartness	smartness	ADJ
cuesj-730	18	16	figure	figure	NOUN
cuesj-730	18	17	2	2	NUM
cuesj-730	18	18	:	:	PUNCT
cuesj-730	18	19	an	an	DET
cuesj-730	18	20	example	example	NOUN
cuesj-730	18	21	of	of	ADP
cuesj-730	18	22	multiple	multiple	ADJ
cuesj-730	18	23	destination	destination	NOUN
cuesj-730	18	24	delivery	delivery	NOUN
cuesj-730	18	25	problem	problem	NOUN
cuesj-730	18	26	:	:	PUNCT
cuesj-730	18	27	(	(	PUNCT
cuesj-730	18	28	a	a	X
cuesj-730	18	29	)	)	PUNCT
cuesj-730	18	30	visit	visit	NOUN
cuesj-730	18	31	the	the	DET
cuesj-730	18	32	plaza	plaza	NOUN
cuesj-730	18	33	first	first	ADV
cuesj-730	18	34	and	and	CCONJ
cuesj-730	18	35	(	(	PUNCT
cuesj-730	18	36	b	b	X
cuesj-730	18	37	)	)	PUNCT
cuesj-730	18	38	visit	visit	VERB
cuesj-730	18	39	the	the	DET
cuesj-730	18	40	office	office	NOUN
cuesj-730	18	41	first	first	ADV
cuesj-730	18	42	.	.	PUNCT
cuesj-730	19	1	ismail	ismail	PROPN
cuesj-730	19	2	,	,	PUNCT
cuesj-730	19	3	et	et	PROPN
cuesj-730	19	4	al	al	PROPN
cuesj-730	19	5	.	.	PROPN
cuesj-730	19	6	:	:	PUNCT
cuesj-730	19	7	artificial	artificial	ADJ
cuesj-730	19	8	multiple	multiple	ADJ
cuesj-730	19	9	destination	destination	NOUN
cuesj-730	19	10	discovery	discovery	NOUN
cuesj-730	19	11	:	:	PUNCT
cuesj-730	19	12	google	google	PROPN
cuesj-730	19	13	map	map	NOUN
cuesj-730	19	14	case	case	NOUN
cuesj-730	19	15	study	study	NOUN
cuesj-730	19	16	42	42	NUM
cuesj-730	19	17	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-730	19	18	cuesj	cuesj	ADJ
cuesj-730	19	19	2022	2022	NUM
cuesj-730	19	20	,	,	PUNCT
cuesj-730	19	21	6	6	NUM
cuesj-730	19	22	(	(	PUNCT
cuesj-730	19	23	2	2	NUM
cuesj-730	19	24	):	):	PUNCT
cuesj-730	19	25	41	41	NUM
cuesj-730	19	26	-	-	SYM
cuesj-730	19	27	48	48	NUM
cuesj-730	19	28	are	be	AUX
cuesj-730	19	29	represented	represent	VERB
cuesj-730	19	30	as	as	ADP
cuesj-730	19	31	nodes	node	NOUN
cuesj-730	19	32	in	in	ADP
cuesj-730	19	33	a	a	DET
cuesj-730	19	34	graph	graph	NOUN
cuesj-730	19	35	.	.	PUNCT
cuesj-730	20	1	the	the	DET
cuesj-730	20	2	aim	aim	NOUN
cuesj-730	20	3	of	of	ADP
cuesj-730	20	4	tsp	tsp	NOUN
cuesj-730	20	5	is	be	AUX
cuesj-730	20	6	to	to	PART
cuesj-730	20	7	visit	visit	VERB
cuesj-730	20	8	each	each	DET
cuesj-730	20	9	node	node	NOUN
cuesj-730	20	10	exactly	exactly	ADV
cuesj-730	20	11	once	once	ADV
cuesj-730	20	12	with	with	ADP
cuesj-730	20	13	the	the	DET
cuesj-730	20	14	shortest	short	ADJ
cuesj-730	20	15	path.[10	path.[10	NOUN
cuesj-730	20	16	]	]	PUNCT
cuesj-730	20	17	figure	figure	NOUN
cuesj-730	20	18	2	2	NUM
cuesj-730	20	19	is	be	AUX
cuesj-730	20	20	an	an	DET
cuesj-730	20	21	example	example	NOUN
cuesj-730	20	22	of	of	ADP
cuesj-730	20	23	multiple	multiple	ADJ
cuesj-730	20	24	destinations	destination	NOUN
cuesj-730	20	25	which	which	PRON
cuesj-730	20	26	are	be	AUX
cuesj-730	20	27	office	office	NOUN
cuesj-730	20	28	and	and	CCONJ
cuesj-730	20	29	plaza	plaza	VERB
cuesj-730	20	30	to	to	PART
cuesj-730	20	31	deliver	deliver	VERB
cuesj-730	20	32	several	several	ADJ
cuesj-730	20	33	packages	package	NOUN
cuesj-730	20	34	.	.	PUNCT
cuesj-730	21	1	here	here	ADV
cuesj-730	21	2	,	,	PUNCT
cuesj-730	21	3	there	there	PRON
cuesj-730	21	4	are	be	VERB
cuesj-730	21	5	two	two	NUM
cuesj-730	21	6	different	different	ADJ
cuesj-730	21	7	routes	route	NOUN
cuesj-730	21	8	:	:	PUNCT
cuesj-730	21	9	route	route	NOUN
cuesj-730	21	10	(	(	PUNCT
cuesj-730	21	11	a	a	X
cuesj-730	21	12	)	)	PUNCT
cuesj-730	21	13	,	,	PUNCT
cuesj-730	21	14	which	which	PRON
cuesj-730	21	15	goes	go	VERB
cuesj-730	21	16	to	to	ADP
cuesj-730	21	17	the	the	DET
cuesj-730	21	18	plaza	plaza	NOUN
cuesj-730	21	19	first	first	ADV
cuesj-730	21	20	and	and	CCONJ
cuesj-730	21	21	route	route	NOUN
cuesj-730	21	22	(	(	PUNCT
cuesj-730	21	23	b	b	NOUN
cuesj-730	21	24	)	)	PUNCT
cuesj-730	21	25	,	,	PUNCT
cuesj-730	21	26	which	which	PRON
cuesj-730	21	27	goes	go	VERB
cuesj-730	21	28	to	to	ADP
cuesj-730	21	29	the	the	DET
cuesj-730	21	30	office	office	NOUN
cuesj-730	21	31	first	first	ADV
cuesj-730	21	32	,	,	PUNCT
cuesj-730	21	33	the	the	DET
cuesj-730	21	34	best	good	ADJ
cuesj-730	21	35	path	path	NOUN
cuesj-730	21	36	is	be	AUX
cuesj-730	21	37	considered	consider	VERB
cuesj-730	21	38	when	when	SCONJ
cuesj-730	21	39	satisfy	satisfy	VERB
cuesj-730	21	40	the	the	DET
cuesj-730	21	41	user	user	NOUN
cuesj-730	21	42	requirements	requirement	NOUN
cuesj-730	21	43	such	such	ADJ
cuesj-730	21	44	as	as	ADP
cuesj-730	21	45	reduce	reduce	VERB
cuesj-730	21	46	travel	travel	NOUN
cuesj-730	21	47	cost	cost	NOUN
cuesj-730	21	48	and	and	CCONJ
cuesj-730	21	49	fuel	fuel	NOUN
cuesj-730	21	50	consumption.[11	consumption.[11	NOUN
cuesj-730	21	51	]	]	PUNCT
cuesj-730	21	52	first	first	ADV
cuesj-730	21	53	,	,	PUNCT
cuesj-730	21	54	ant	ant	ADJ
cuesj-730	21	55	colony	colony	NOUN
cuesj-730	21	56	optimization	optimization	NOUN
cuesj-730	21	57	(	(	PUNCT
cuesj-730	21	58	aco	aco	PROPN
cuesj-730	21	59	)	)	PUNCT
cuesj-730	21	60	is	be	AUX
cuesj-730	21	61	used	use	VERB
cuesj-730	21	62	to	to	PART
cuesj-730	21	63	solve	solve	VERB
cuesj-730	21	64	optimization	optimization	NOUN
cuesj-730	21	65	problems	problem	NOUN
cuesj-730	21	66	;	;	PUNCT
cuesj-730	21	67	then	then	ADV
cuesj-730	21	68	,	,	PUNCT
cuesj-730	21	69	it	it	PRON
cuesj-730	21	70	is	be	AUX
cuesj-730	21	71	developed	develop	VERB
cuesj-730	21	72	to	to	PART
cuesj-730	21	73	be	be	AUX
cuesj-730	21	74	used	use	VERB
cuesj-730	21	75	for	for	ADP
cuesj-730	21	76	artificial	artificial	ADJ
cuesj-730	21	77	intelligence	intelligence	NOUN
cuesj-730	21	78	applications	application	NOUN
cuesj-730	21	79	.	.	PUNCT
cuesj-730	22	1	aco	aco	PROPN
cuesj-730	22	2	is	be	AUX
cuesj-730	22	3	based	base	VERB
cuesj-730	22	4	on	on	ADP
cuesj-730	22	5	behavior	behavior	NOUN
cuesj-730	22	6	of	of	ADP
cuesj-730	22	7	ants	ant	NOUN
cuesj-730	22	8	for	for	ADP
cuesj-730	22	9	finding	find	VERB
cuesj-730	22	10	food	food	NOUN
cuesj-730	22	11	.	.	PUNCT
cuesj-730	23	1	during	during	ADP
cuesj-730	23	2	the	the	DET
cuesj-730	23	3	ant	ant	ADJ
cuesj-730	23	4	walk	walk	NOUN
cuesj-730	23	5	,	,	PUNCT
cuesj-730	23	6	it	it	PRON
cuesj-730	23	7	deposits	deposit	VERB
cuesj-730	23	8	pheromone	pheromone	NOUN
cuesj-730	23	9	to	to	PART
cuesj-730	23	10	find	find	VERB
cuesj-730	23	11	their	their	PRON
cuesj-730	23	12	route	route	NOUN
cuesj-730	23	13	and	and	CCONJ
cuesj-730	23	14	the	the	DET
cuesj-730	23	15	density	density	NOUN
cuesj-730	23	16	of	of	ADP
cuesj-730	23	17	pheromone	pheromone	NOUN
cuesj-730	23	18	deposition	deposition	NOUN
cuesj-730	23	19	increases	increase	NOUN
cuesj-730	23	20	when	when	SCONJ
cuesj-730	23	21	the	the	DET
cuesj-730	23	22	ant	ant	ADJ
cuesj-730	23	23	returns	return	VERB
cuesj-730	23	24	back	back	ADV
cuesj-730	23	25	to	to	ADP
cuesj-730	23	26	the	the	DET
cuesj-730	23	27	source	source	NOUN
cuesj-730	23	28	point	point	NOUN
cuesj-730	23	29	with	with	ADP
cuesj-730	23	30	food	food	NOUN
cuesj-730	23	31	.	.	PUNCT
cuesj-730	24	1	many	many	ADJ
cuesj-730	24	2	ants	ant	NOUN
cuesj-730	24	3	will	will	AUX
cuesj-730	24	4	travel	travel	VERB
cuesj-730	24	5	on	on	ADP
cuesj-730	24	6	different	different	ADJ
cuesj-730	24	7	paths	path	NOUN
cuesj-730	24	8	and	and	CCONJ
cuesj-730	24	9	the	the	DET
cuesj-730	24	10	optimal	optimal	ADJ
cuesj-730	24	11	path	path	NOUN
cuesj-730	24	12	will	will	AUX
cuesj-730	24	13	be	be	AUX
cuesj-730	24	14	found	find	VERB
cuesj-730	24	15	when	when	SCONJ
cuesj-730	24	16	it	it	PRON
cuesj-730	24	17	has	have	VERB
cuesj-730	24	18	the	the	DET
cuesj-730	24	19	maximum	maximum	ADJ
cuesj-730	24	20	pheromone	pheromone	NOUN
cuesj-730	24	21	deposition.[12	deposition.[12	PROPN
cuesj-730	24	22	]	]	X
cuesj-730	24	23	the	the	DET
cuesj-730	24	24	main	main	ADJ
cuesj-730	24	25	contribution	contribution	NOUN
cuesj-730	24	26	of	of	ADP
cuesj-730	24	27	this	this	DET
cuesj-730	24	28	work	work	NOUN
cuesj-730	24	29	is	be	AUX
cuesj-730	24	30	as	as	SCONJ
cuesj-730	24	31	follows	follow	VERB
cuesj-730	24	32	:	:	PUNCT
cuesj-730	24	33	•	•	PUNCT
cuesj-730	24	34	develop	develop	VERB
cuesj-730	24	35	a	a	DET
cuesj-730	24	36	smart	smart	ADJ
cuesj-730	24	37	service	service	NOUN
cuesj-730	24	38	for	for	ADP
cuesj-730	24	39	erbil	erbil	PROPN
cuesj-730	24	40	city	city	PROPN
cuesj-730	24	41	citizen	citizen	NOUN
cuesj-730	24	42	to	to	PART
cuesj-730	24	43	find	find	VERB
cuesj-730	24	44	shortest	short	ADJ
cuesj-730	24	45	path	path	NOUN
cuesj-730	24	46	with	with	ADP
cuesj-730	24	47	multiple	multiple	ADJ
cuesj-730	24	48	destination	destination	NOUN
cuesj-730	24	49	•	•	ADP
cuesj-730	24	50	enhance	enhance	NOUN
cuesj-730	24	51	google	google	PROPN
cuesj-730	24	52	map	map	NOUN
cuesj-730	24	53	application	application	NOUN
cuesj-730	24	54	as	as	ADP
cuesj-730	24	55	a	a	DET
cuesj-730	24	56	navigation	navigation	NOUN
cuesj-730	24	57	application	application	NOUN
cuesj-730	24	58	to	to	PART
cuesj-730	24	59	have	have	VERB
cuesj-730	24	60	decision	decision	NOUN
cuesj-730	24	61	-	-	PUNCT
cuesj-730	24	62	making	making	NOUN
cuesj-730	24	63	.	.	PUNCT
cuesj-730	25	1	the	the	DET
cuesj-730	25	2	remainder	remainder	NOUN
cuesj-730	25	3	of	of	ADP
cuesj-730	25	4	this	this	DET
cuesj-730	25	5	paper	paper	NOUN
cuesj-730	25	6	is	be	AUX
cuesj-730	25	7	organized	organize	VERB
cuesj-730	25	8	as	as	SCONJ
cuesj-730	25	9	follows	follow	VERB
cuesj-730	25	10	:	:	PUNCT
cuesj-730	25	11	the	the	DET
cuesj-730	25	12	most	most	ADV
cuesj-730	25	13	recent	recent	ADJ
cuesj-730	25	14	related	related	ADJ
cuesj-730	25	15	works	work	NOUN
cuesj-730	25	16	are	be	AUX
cuesj-730	25	17	presented	present	VERB
cuesj-730	25	18	in	in	ADP
cuesj-730	25	19	section	section	NOUN
cuesj-730	25	20	(	(	PUNCT
cuesj-730	25	21	ii	ii	PROPN
cuesj-730	25	22	)	)	PUNCT
cuesj-730	25	23	;	;	PUNCT
cuesj-730	25	24	then	then	ADV
cuesj-730	25	25	,	,	PUNCT
cuesj-730	25	26	multiple	multiple	ADJ
cuesj-730	25	27	destination	destination	NOUN
cuesj-730	25	28	for	for	ADP
cuesj-730	25	29	route	route	NOUN
cuesj-730	25	30	discovery	discovery	NOUN
cuesj-730	25	31	challenges	challenge	NOUN
cuesj-730	25	32	is	be	AUX
cuesj-730	25	33	explained	explain	VERB
cuesj-730	25	34	in	in	ADP
cuesj-730	25	35	section	section	NOUN
cuesj-730	25	36	(	(	PUNCT
cuesj-730	25	37	ii	ii	NOUN
cuesj-730	25	38	)	)	PUNCT
cuesj-730	25	39	.	.	PUNCT
cuesj-730	26	1	furthermore	furthermore	ADV
cuesj-730	26	2	,	,	PUNCT
cuesj-730	26	3	in	in	ADP
cuesj-730	26	4	section	section	NOUN
cuesj-730	26	5	(	(	PUNCT
cuesj-730	26	6	iv	iv	NUM
cuesj-730	26	7	)	)	PUNCT
cuesj-730	26	8	,	,	PUNCT
cuesj-730	26	9	we	we	PRON
cuesj-730	26	10	describe	describe	VERB
cuesj-730	26	11	an	an	DET
cuesj-730	26	12	important	important	ADJ
cuesj-730	26	13	application	application	NOUN
cuesj-730	26	14	and	and	CCONJ
cuesj-730	26	15	service	service	NOUN
cuesj-730	26	16	relate	relate	VERB
cuesj-730	26	17	to	to	ADP
cuesj-730	26	18	multiple	multiple	ADJ
cuesj-730	26	19	destination	destination	NOUN
cuesj-730	26	20	route	route	NOUN
cuesj-730	26	21	discovery	discovery	PROPN
cuesj-730	26	22	planning	planning	NOUN
cuesj-730	26	23	which	which	PRON
cuesj-730	26	24	is	be	AUX
cuesj-730	26	25	google	google	PROPN
cuesj-730	26	26	map	map	NOUN
cuesj-730	26	27	.	.	PUNCT
cuesj-730	27	1	section	section	NOUN
cuesj-730	27	2	(	(	PUNCT
cuesj-730	27	3	v	v	NOUN
cuesj-730	27	4	)	)	PUNCT
cuesj-730	27	5	,	,	PUNCT
cuesj-730	27	6	(	(	PUNCT
cuesj-730	27	7	vi	vi	NOUN
cuesj-730	27	8	)	)	PUNCT
cuesj-730	27	9	,	,	PUNCT
cuesj-730	27	10	and	and	CCONJ
cuesj-730	27	11	(	(	PUNCT
cuesj-730	27	12	vii	vii	PROPN
cuesj-730	27	13	)	)	PUNCT
cuesj-730	27	14	explain	explain	VERB
cuesj-730	27	15	and	and	CCONJ
cuesj-730	27	16	implement	implement	VERB
cuesj-730	27	17	an	an	DET
cuesj-730	27	18	artificial	artificial	ADJ
cuesj-730	27	19	algorithm	algorithm	NOUN
cuesj-730	27	20	to	to	PART
cuesj-730	27	21	develop	develop	VERB
cuesj-730	27	22	route	route	NOUN
cuesj-730	27	23	discovery	discovery	NOUN
cuesj-730	27	24	in	in	ADP
cuesj-730	27	25	erbil	erbil	PROPN
cuesj-730	27	26	city	city	PROPN
cuesj-730	27	27	when	when	SCONJ
cuesj-730	27	28	the	the	DET
cuesj-730	27	29	shortest	short	ADJ
cuesj-730	27	30	path	path	NOUN
cuesj-730	27	31	is	be	AUX
cuesj-730	27	32	found	find	VERB
cuesj-730	27	33	.	.	PUNCT
cuesj-730	28	1	finally	finally	ADV
cuesj-730	28	2	,	,	PUNCT
cuesj-730	28	3	work	work	NOUN
cuesj-730	28	4	conclusion	conclusion	NOUN
cuesj-730	28	5	and	and	CCONJ
cuesj-730	28	6	future	future	ADJ
cuesj-730	28	7	work	work	NOUN
cuesj-730	28	8	are	be	AUX
cuesj-730	28	9	discussed	discuss	VERB
cuesj-730	28	10	in	in	ADP
cuesj-730	28	11	section	section	NOUN
cuesj-730	28	12	(	(	PUNCT
cuesj-730	28	13	viii	viii	NOUN
cuesj-730	28	14	)	)	PUNCT
cuesj-730	28	15	.	.	PUNCT
cuesj-730	29	1	literature	literature	NOUN
cuesj-730	29	2	reveiw	reveiw	PROPN
cuesj-730	29	3	single	single	ADJ
cuesj-730	29	4	destination	destination	NOUN
cuesj-730	29	5	route	route	NOUN
cuesj-730	29	6	planning	planning	NOUN
cuesj-730	29	7	algorithms	algorithm	NOUN
cuesj-730	29	8	have	have	VERB
cuesj-730	29	9	more	more	ADJ
cuesj-730	29	10	research	research	NOUN
cuesj-730	29	11	publications	publication	NOUN
cuesj-730	29	12	relate	relate	VERB
cuesj-730	29	13	to	to	ADP
cuesj-730	29	14	multiple	multiple	ADJ
cuesj-730	29	15	destination	destination	NOUN
cuesj-730	29	16	route	route	NOUN
cuesj-730	29	17	planning	planning	NOUN
cuesj-730	29	18	algorithms	algorithm	NOUN
cuesj-730	29	19	.	.	PUNCT
cuesj-730	30	1	in	in	ADP
cuesj-730	30	2	the	the	DET
cuesj-730	30	3	literature	literature	NOUN
cuesj-730	30	4	,	,	PUNCT
cuesj-730	30	5	the	the	DET
cuesj-730	30	6	most	most	ADV
cuesj-730	30	7	recent	recent	ADJ
cuesj-730	30	8	multiple	multiple	ADJ
cuesj-730	30	9	destination	destination	NOUN
cuesj-730	30	10	route	route	NOUN
cuesj-730	30	11	planning	planning	NOUN
cuesj-730	30	12	algorithms	algorithm	NOUN
cuesj-730	30	13	are	be	AUX
cuesj-730	30	14	explained	explain	VERB
cuesj-730	30	15	.	.	PUNCT
cuesj-730	31	1	huang	huang	PROPN
cuesj-730	31	2	et	et	PROPN
cuesj-730	31	3	al	al	PROPN
cuesj-730	31	4	.	.	PROPN
cuesj-730	31	5	,[11	,[11	PROPN
cuesj-730	31	6	]	]	PUNCT
cuesj-730	31	7	proposed	propose	VERB
cuesj-730	31	8	an	an	DET
cuesj-730	31	9	algorithm	algorithm	NOUN
cuesj-730	31	10	by	by	ADP
cuesj-730	31	11	implementing	implement	VERB
cuesj-730	31	12	the	the	DET
cuesj-730	31	13	dynamic	dynamic	ADJ
cuesj-730	31	14	graph	graph	NOUN
cuesj-730	31	15	miner	miner	NOUN
cuesj-730	31	16	for	for	ADP
cuesj-730	31	17	multi	multi	ADJ
cuesj-730	31	18	-	-	ADJ
cuesj-730	31	19	destination	destination	ADJ
cuesj-730	31	20	route	route	NOUN
cuesj-730	31	21	to	to	PART
cuesj-730	31	22	plan	plan	VERB
cuesj-730	31	23	the	the	DET
cuesj-730	31	24	route	route	NOUN
cuesj-730	31	25	and	and	CCONJ
cuesj-730	31	26	measure	measure	VERB
cuesj-730	31	27	its	its	PRON
cuesj-730	31	28	cost	cost	NOUN
cuesj-730	31	29	and	and	CCONJ
cuesj-730	31	30	time	time	NOUN
cuesj-730	31	31	according	accord	VERB
cuesj-730	31	32	to	to	ADP
cuesj-730	31	33	user	user	NOUN
cuesj-730	31	34	requirements	requirement	NOUN
cuesj-730	31	35	and	and	CCONJ
cuesj-730	31	36	deadlines	deadline	NOUN
cuesj-730	31	37	with	with	ADP
cuesj-730	31	38	efficient	efficient	ADJ
cuesj-730	31	39	optimizing	optimizing	NOUN
cuesj-730	31	40	.	.	PUNCT
cuesj-730	32	1	zhuang	zhuang	PROPN
cuesj-730	32	2	et	et	PROPN
cuesj-730	32	3	al	al	PROPN
cuesj-730	32	4	.	.	PROPN
cuesj-730	32	5	,[13	,[13	PROPN
cuesj-730	32	6	]	]	PUNCT
cuesj-730	32	7	proposed	propose	VERB
cuesj-730	32	8	an	an	DET
cuesj-730	32	9	algorithm	algorithm	NOUN
cuesj-730	32	10	for	for	ADP
cuesj-730	32	11	the	the	DET
cuesj-730	32	12	mobile	mobile	NOUN
cuesj-730	32	13	robot	robot	NOUN
cuesj-730	32	14	when	when	SCONJ
cuesj-730	32	15	visiting	visit	VERB
cuesj-730	32	16	multiple	multiple	ADJ
cuesj-730	32	17	destinations	destination	NOUN
cuesj-730	32	18	using	use	VERB
cuesj-730	32	19	a	a	DET
cuesj-730	32	20	simulated	simulated	ADJ
cuesj-730	32	21	grid	grid	NOUN
cuesj-730	32	22	map	map	NOUN
cuesj-730	32	23	for	for	ADP
cuesj-730	32	24	the	the	DET
cuesj-730	32	25	environment	environment	NOUN
cuesj-730	32	26	with	with	ADP
cuesj-730	32	27	the	the	DET
cuesj-730	32	28	obstacle	obstacle	NOUN
cuesj-730	32	29	values	value	NOUN
cuesj-730	32	30	.	.	PUNCT
cuesj-730	33	1	q	q	X
cuesj-730	33	2	-	-	PUNCT
cuesj-730	33	3	learning	learn	VERB
cuesj-730	33	4	algorithm	algorithm	NOUN
cuesj-730	33	5	is	be	AUX
cuesj-730	33	6	implemented	implement	VERB
cuesj-730	33	7	to	to	PART
cuesj-730	33	8	find	find	VERB
cuesj-730	33	9	the	the	DET
cuesj-730	33	10	optimal	optimal	ADJ
cuesj-730	33	11	path	path	NOUN
cuesj-730	33	12	of	of	ADP
cuesj-730	33	13	multiple	multiple	ADJ
cuesj-730	33	14	destinations	destination	NOUN
cuesj-730	33	15	for	for	ADP
cuesj-730	33	16	mobile	mobile	ADJ
cuesj-730	33	17	robots	robot	NOUN
cuesj-730	33	18	with	with	ADP
cuesj-730	33	19	minimum	minimum	ADJ
cuesj-730	33	20	obstacles	obstacle	NOUN
cuesj-730	33	21	.	.	PUNCT
cuesj-730	34	1	the	the	DET
cuesj-730	34	2	results	result	NOUN
cuesj-730	34	3	of	of	ADP
cuesj-730	34	4	the	the	DET
cuesj-730	34	5	algorithm	algorithm	NOUN
cuesj-730	34	6	shown	show	VERB
cuesj-730	34	7	a	a	DET
cuesj-730	34	8	reduce	reduce	NOUN
cuesj-730	34	9	in	in	ADP
cuesj-730	34	10	path	path	NOUN
cuesj-730	34	11	length	length	NOUN
cuesj-730	34	12	when	when	SCONJ
cuesj-730	34	13	using	use	VERB
cuesj-730	34	14	global	global	ADJ
cuesj-730	34	15	planning	planning	NOUN
cuesj-730	34	16	compared	compare	VERB
cuesj-730	34	17	to	to	ADP
cuesj-730	34	18	others	other	NOUN
cuesj-730	34	19	.	.	PUNCT
cuesj-730	35	1	asaduzzaman	asaduzzaman	NOUN
cuesj-730	35	2	et	et	PROPN
cuesj-730	35	3	al	al	PROPN
cuesj-730	35	4	.	.	PROPN
cuesj-730	35	5	,[14	,[14	PROPN
cuesj-730	35	6	]	]	PUNCT
cuesj-730	35	7	modified	modify	VERB
cuesj-730	35	8	dijkstra	dijkstra	ADJ
cuesj-730	35	9	algorithm	algorithm	NOUN
cuesj-730	35	10	with	with	ADP
cuesj-730	35	11	the	the	DET
cuesj-730	35	12	minimal	minimal	ADJ
cuesj-730	35	13	weight	weight	NOUN
cuesj-730	35	14	for	for	ADP
cuesj-730	35	15	multiple	multiple	ADJ
cuesj-730	35	16	destinations	destination	NOUN
cuesj-730	35	17	in	in	ADP
cuesj-730	35	18	indoor	indoor	ADJ
cuesj-730	35	19	applications	application	NOUN
cuesj-730	35	20	,	,	PUNCT
cuesj-730	35	21	where	where	SCONJ
cuesj-730	35	22	dijkstra	dijkstra	ADJ
cuesj-730	35	23	algorithm	algorithm	NOUN
cuesj-730	35	24	is	be	AUX
cuesj-730	35	25	modified	modify	VERB
cuesj-730	35	26	to	to	PART
cuesj-730	35	27	implement	implement	VERB
cuesj-730	35	28	multiple	multiple	ADJ
cuesj-730	35	29	destinations	destination	NOUN
cuesj-730	35	30	instead	instead	ADV
cuesj-730	35	31	of	of	ADP
cuesj-730	35	32	single	single	ADJ
cuesj-730	35	33	destination	destination	NOUN
cuesj-730	35	34	.	.	PUNCT
cuesj-730	36	1	the	the	DET
cuesj-730	36	2	implementation	implementation	NOUN
cuesj-730	36	3	starts	start	VERB
cuesj-730	36	4	from	from	ADP
cuesj-730	36	5	the	the	DET
cuesj-730	36	6	source	source	NOUN
cuesj-730	36	7	node	node	NOUN
cuesj-730	36	8	to	to	PART
cuesj-730	36	9	visit	visit	VERB
cuesj-730	36	10	the	the	DET
cuesj-730	36	11	first	first	ADJ
cuesj-730	36	12	nearest	near	ADJ
cuesj-730	36	13	destination	destination	NOUN
cuesj-730	36	14	that	that	PRON
cuesj-730	36	15	becomes	become	VERB
cuesj-730	36	16	the	the	DET
cuesj-730	36	17	new	new	ADJ
cuesj-730	36	18	source	source	NOUN
cuesj-730	36	19	node	node	NOUN
cuesj-730	36	20	again	again	ADV
cuesj-730	36	21	to	to	ADP
cuesj-730	36	22	the	the	DET
cuesj-730	36	23	next	next	ADJ
cuesj-730	36	24	nearest	near	ADJ
cuesj-730	36	25	destination	destination	NOUN
cuesj-730	36	26	,	,	PUNCT
cuesj-730	36	27	and	and	CCONJ
cuesj-730	36	28	so	so	ADV
cuesj-730	36	29	on	on	ADV
cuesj-730	36	30	until	until	SCONJ
cuesj-730	36	31	all	all	DET
cuesj-730	36	32	destination	destination	NOUN
cuesj-730	36	33	nodes	node	NOUN
cuesj-730	36	34	are	be	AUX
cuesj-730	36	35	visited	visit	VERB
cuesj-730	36	36	.	.	PUNCT
cuesj-730	37	1	abeer	abeer	PROPN
cuesj-730	37	2	et	et	PROPN
cuesj-730	37	3	al	al	PROPN
cuesj-730	37	4	.	.	PROPN
cuesj-730	37	5	,[15	,[15	PROPN
cuesj-730	37	6	]	]	PUNCT
cuesj-730	37	7	proposed	propose	VERB
cuesj-730	37	8	an	an	DET
cuesj-730	37	9	algorithm	algorithm	NOUN
cuesj-730	37	10	to	to	PART
cuesj-730	37	11	serve	serve	VERB
cuesj-730	37	12	multiple	multiple	ADJ
cuesj-730	37	13	destination	destination	NOUN
cuesj-730	37	14	requests	request	NOUN
cuesj-730	37	15	to	to	PART
cuesj-730	37	16	plan	plan	VERB
cuesj-730	37	17	the	the	DET
cuesj-730	37	18	route	route	NOUN
cuesj-730	37	19	considering	consider	VERB
cuesj-730	37	20	real	real	ADJ
cuesj-730	37	21	-	-	PUNCT
cuesj-730	37	22	time	time	NOUN
cuesj-730	37	23	traffic	traffic	NOUN
cuesj-730	37	24	conditions	condition	NOUN
cuesj-730	37	25	and	and	CCONJ
cuesj-730	37	26	the	the	DET
cuesj-730	37	27	free	free	ADJ
cuesj-730	37	28	parking	parking	NOUN
cuesj-730	37	29	places	place	NOUN
cuesj-730	37	30	in	in	ADP
cuesj-730	37	31	the	the	DET
cuesj-730	37	32	city	city	NOUN
cuesj-730	37	33	to	to	PART
cuesj-730	37	34	find	find	VERB
cuesj-730	37	35	the	the	DET
cuesj-730	37	36	minimum	minimum	ADJ
cuesj-730	37	37	time	time	NOUN
cuesj-730	37	38	for	for	SCONJ
cuesj-730	37	39	the	the	DET
cuesj-730	37	40	driver	driver	NOUN
cuesj-730	37	41	to	to	PART
cuesj-730	37	42	travel	travel	VERB
cuesj-730	37	43	.	.	PUNCT
cuesj-730	38	1	the	the	DET
cuesj-730	38	2	results	result	NOUN
cuesj-730	38	3	of	of	ADP
cuesj-730	38	4	the	the	DET
cuesj-730	38	5	algorithms	algorithm	NOUN
cuesj-730	38	6	shown	show	VERB
cuesj-730	38	7	the	the	DET
cuesj-730	38	8	best	good	ADJ
cuesj-730	38	9	performance	performance	NOUN
cuesj-730	38	10	compared	compare	VERB
cuesj-730	38	11	to	to	ADP
cuesj-730	38	12	others	other	NOUN
cuesj-730	38	13	.	.	PUNCT
cuesj-730	39	1	eric	eric	PROPN
cuesj-730	39	2	et	et	PROPN
cuesj-730	39	3	al	al	PROPN
cuesj-730	39	4	.	.	PROPN
cuesj-730	39	5	,[16	,[16	PROPN
cuesj-730	39	6	]	]	PUNCT
cuesj-730	39	7	proposed	propose	VERB
cuesj-730	39	8	a	a	DET
cuesj-730	39	9	strategy	strategy	NOUN
cuesj-730	39	10	named	name	VERB
cuesj-730	39	11	cluster	cluster	NOUN
cuesj-730	39	12	-	-	PUNCT
cuesj-730	39	13	based	base	VERB
cuesj-730	39	14	approximation	approximation	NOUN
cuesj-730	39	15	strategy	strategy	NOUN
cuesj-730	39	16	,	,	PUNCT
cuesj-730	39	17	to	to	PART
cuesj-730	39	18	cluster	cluster	VERB
cuesj-730	39	19	the	the	DET
cuesj-730	39	20	destinations	destination	NOUN
cuesj-730	39	21	into	into	ADP
cuesj-730	39	22	several	several	ADJ
cuesj-730	39	23	destination	destination	NOUN
cuesj-730	39	24	clusters	cluster	NOUN
cuesj-730	39	25	,	,	PUNCT
cuesj-730	39	26	to	to	PART
cuesj-730	39	27	determine	determine	VERB
cuesj-730	39	28	the	the	DET
cuesj-730	39	29	fastest	fast	ADJ
cuesj-730	39	30	visiting	visit	VERB
cuesj-730	39	31	order	order	NOUN
cuesj-730	39	32	from	from	ADP
cuesj-730	39	33	specified	specify	VERB
cuesj-730	39	34	multiple	multiple	ADJ
cuesj-730	39	35	destinations	destination	NOUN
cuesj-730	39	36	.	.	PUNCT
cuesj-730	40	1	inside	inside	ADP
cuesj-730	40	2	the	the	DET
cuesj-730	40	3	destination	destination	NOUN
cuesj-730	40	4	ba	ba	NOUN
cuesj-730	40	5	figure	figure	NOUN
cuesj-730	40	6	3	3	NUM
cuesj-730	40	7	:	:	PUNCT
cuesj-730	40	8	an	an	DET
cuesj-730	40	9	example	example	NOUN
cuesj-730	40	10	of	of	ADP
cuesj-730	40	11	3	3	NUM
cuesj-730	40	12	*	*	SYM
cuesj-730	40	13	3	3	NUM
cuesj-730	40	14	grid	grid	NOUN
cuesj-730	40	15	for	for	ADP
cuesj-730	40	16	route	route	NOUN
cuesj-730	40	17	figure	figure	NOUN
cuesj-730	40	18	4	4	NUM
cuesj-730	40	19	:	:	PUNCT
cuesj-730	40	20	google	google	NOUN
cuesj-730	40	21	map	map	NOUN
cuesj-730	40	22	for	for	ADP
cuesj-730	40	23	erbil	erbil	PROPN
cuesj-730	40	24	city	city	PROPN
cuesj-730	40	25	ismail	ismail	PROPN
cuesj-730	40	26	,	,	PUNCT
cuesj-730	40	27	et	et	PROPN
cuesj-730	40	28	al	al	PROPN
cuesj-730	40	29	.	.	PROPN
cuesj-730	40	30	:	:	PUNCT
cuesj-730	41	1	artificial	artificial	ADJ
cuesj-730	41	2	multiple	multiple	ADJ
cuesj-730	41	3	destination	destination	NOUN
cuesj-730	41	4	discovery	discovery	NOUN
cuesj-730	41	5	:	:	PUNCT
cuesj-730	41	6	google	google	PROPN
cuesj-730	41	7	map	map	NOUN
cuesj-730	41	8	case	case	NOUN
cuesj-730	41	9	study	study	VERB
cuesj-730	41	10	43	43	NUM
cuesj-730	41	11	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-730	41	12	cuesj	cuesj	ADJ
cuesj-730	41	13	2022	2022	NUM
cuesj-730	41	14	,	,	PUNCT
cuesj-730	41	15	6	6	NUM
cuesj-730	41	16	(	(	PUNCT
cuesj-730	41	17	2	2	NUM
cuesj-730	41	18	):	):	PUNCT
cuesj-730	41	19	41	41	NUM
cuesj-730	41	20	-	-	SYM
cuesj-730	41	21	48	48	NUM
cuesj-730	41	22	cluster	cluster	NOUN
cuesj-730	41	23	,	,	PUNCT
cuesj-730	41	24	the	the	DET
cuesj-730	41	25	proposed	propose	VERB
cuesj-730	41	26	algorithm	algorithm	NOUN
cuesj-730	41	27	will	will	AUX
cuesj-730	41	28	choose	choose	VERB
cuesj-730	41	29	the	the	DET
cuesj-730	41	30	destination	destination	NOUN
cuesj-730	41	31	with	with	ADP
cuesj-730	41	32	the	the	DET
cuesj-730	41	33	minimum	minimum	ADJ
cuesj-730	41	34	travel	travel	NOUN
cuesj-730	41	35	time	time	NOUN
cuesj-730	41	36	then	then	ADV
cuesj-730	41	37	calculate	calculate	VERB
cuesj-730	41	38	the	the	DET
cuesj-730	41	39	local	local	ADJ
cuesj-730	41	40	optimal	optimal	ADJ
cuesj-730	41	41	path	path	NOUN
cuesj-730	41	42	for	for	ADP
cuesj-730	41	43	all	all	DET
cuesj-730	41	44	destination	destination	NOUN
cuesj-730	41	45	nodes	node	NOUN
cuesj-730	41	46	in	in	ADP
cuesj-730	41	47	the	the	DET
cuesj-730	41	48	same	same	ADJ
cuesj-730	41	49	cluster	cluster	NOUN
cuesj-730	41	50	.	.	PUNCT
cuesj-730	42	1	table	table	NOUN
cuesj-730	42	2	1	1	NUM
cuesj-730	42	3	presents	present	VERB
cuesj-730	42	4	an	an	DET
cuesj-730	42	5	overview	overview	NOUN
cuesj-730	42	6	for	for	ADP
cuesj-730	42	7	multiple	multiple	ADJ
cuesj-730	42	8	destination	destination	NOUN
cuesj-730	42	9	route	route	NOUN
cuesj-730	42	10	discovery	discovery	PROPN
cuesj-730	42	11	protocols	protocol	NOUN
cuesj-730	42	12	.	.	PUNCT
cuesj-730	43	1	analyzing	analyze	VERB
cuesj-730	43	2	multiple	multiple	ADJ
cuesj-730	43	3	destination	destination	NOUN
cuesj-730	43	4	route	route	NOUN
cuesj-730	43	5	discovery	discovery	PROPN
cuesj-730	43	6	protocols	protocol	NOUN
cuesj-730	43	7	the	the	DET
cuesj-730	43	8	most	most	ADV
cuesj-730	43	9	two	two	NUM
cuesj-730	43	10	important	important	ADJ
cuesj-730	43	11	challenges	challenge	NOUN
cuesj-730	43	12	for	for	ADP
cuesj-730	43	13	multiple	multiple	ADJ
cuesj-730	43	14	destination	destination	NOUN
cuesj-730	43	15	route	route	NOUN
cuesj-730	43	16	discovery	discovery	PROPN
cuesj-730	43	17	protocols	protocol	NOUN
cuesj-730	43	18	are	be	AUX
cuesj-730	43	19	as	as	SCONJ
cuesj-730	43	20	follows	follow	VERB
cuesj-730	43	21	:	:	PUNCT
cuesj-730	43	22	mapping	mapping	NOUN
cuesj-730	43	23	model	model	NOUN
cuesj-730	43	24	and	and	CCONJ
cuesj-730	43	25	route	route	NOUN
cuesj-730	43	26	planning	planning	NOUN
cuesj-730	43	27	.	.	PUNCT
cuesj-730	44	1	the	the	DET
cuesj-730	44	2	mapping	mapping	NOUN
cuesj-730	44	3	model	model	NOUN
cuesj-730	44	4	is	be	AUX
cuesj-730	44	5	used	use	VERB
cuesj-730	44	6	to	to	PART
cuesj-730	44	7	represent	represent	VERB
cuesj-730	44	8	the	the	DET
cuesj-730	44	9	source	source	NOUN
cuesj-730	44	10	node	node	NOUN
cuesj-730	44	11	and	and	CCONJ
cuesj-730	44	12	multiple	multiple	ADJ
cuesj-730	44	13	destination	destination	NOUN
cuesj-730	44	14	nodes	node	NOUN
cuesj-730	44	15	such	such	ADJ
cuesj-730	44	16	as	as	ADP
cuesj-730	44	17	graph	graph	NOUN
cuesj-730	44	18	,	,	PUNCT
cuesj-730	44	19	while	while	SCONJ
cuesj-730	44	20	route	route	NOUN
cuesj-730	44	21	planning	planning	NOUN
cuesj-730	44	22	is	be	AUX
cuesj-730	44	23	needed	need	VERB
cuesj-730	44	24	to	to	PART
cuesj-730	44	25	serve	serve	VERB
cuesj-730	44	26	the	the	DET
cuesj-730	44	27	customer	customer	NOUN
cuesj-730	44	28	’s	’s	PART
cuesj-730	44	29	order	order	NOUN
cuesj-730	44	30	within	within	ADP
cuesj-730	44	31	optimal	optimal	ADJ
cuesj-730	44	32	path	path	NOUN
cuesj-730	44	33	.	.	PUNCT
cuesj-730	45	1	mapping	mapping	NOUN
cuesj-730	45	2	model	model	NOUN
cuesj-730	45	3	one	one	NUM
cuesj-730	45	4	of	of	ADP
cuesj-730	45	5	the	the	DET
cuesj-730	45	6	challenges	challenge	NOUN
cuesj-730	45	7	that	that	PRON
cuesj-730	45	8	face	face	VERB
cuesj-730	45	9	multiple	multiple	ADJ
cuesj-730	45	10	destination	destination	NOUN
cuesj-730	45	11	route	route	NOUN
cuesj-730	45	12	discovery	discovery	NOUN
cuesj-730	45	13	protocol	protocol	NOUN
cuesj-730	45	14	is	be	AUX
cuesj-730	45	15	how	how	SCONJ
cuesj-730	45	16	to	to	PART
cuesj-730	45	17	represent	represent	VERB
cuesj-730	45	18	a	a	DET
cuesj-730	45	19	model	model	NOUN
cuesj-730	45	20	for	for	ADP
cuesj-730	45	21	the	the	DET
cuesj-730	45	22	protocol	protocol	NOUN
cuesj-730	45	23	.	.	PUNCT
cuesj-730	46	1	in[11	in[11	VERB
cuesj-730	46	2	]	]	X
cuesj-730	46	3	they	they	PRON
cuesj-730	46	4	use	use	VERB
cuesj-730	46	5	graph	graph	NOUN
cuesj-730	46	6	model	model	NOUN
cuesj-730	46	7	as	as	ADP
cuesj-730	46	8	a	a	DET
cuesj-730	46	9	grid	grid	NOUN
cuesj-730	46	10	for	for	ADP
cuesj-730	46	11	each	each	DET
cuesj-730	46	12	route	route	NOUN
cuesj-730	46	13	,	,	PUNCT
cuesj-730	46	14	as	as	SCONJ
cuesj-730	46	15	shown	show	VERB
cuesj-730	46	16	in	in	ADP
cuesj-730	46	17	figure	figure	NOUN
cuesj-730	46	18	3	3	NUM
cuesj-730	46	19	,	,	PUNCT
cuesj-730	46	20	where	where	SCONJ
cuesj-730	46	21	the	the	DET
cuesj-730	46	22	route	route	NOUN
cuesj-730	46	23	is	be	AUX
cuesj-730	46	24	represented	represent	VERB
cuesj-730	46	25	as	as	ADP
cuesj-730	46	26	3	3	NUM
cuesj-730	46	27	*	*	SYM
cuesj-730	46	28	3	3	NUM
cuesj-730	46	29	grids	grid	NOUN
cuesj-730	46	30	.	.	PUNCT
cuesj-730	47	1	accordingly	accordingly	ADV
cuesj-730	47	2	,	,	PUNCT
cuesj-730	47	3	this	this	DET
cuesj-730	47	4	route	route	NOUN
cuesj-730	47	5	is	be	AUX
cuesj-730	47	6	divided	divide	VERB
cuesj-730	47	7	into	into	ADP
cuesj-730	47	8	five	five	NUM
cuesj-730	47	9	segments	segment	NOUN
cuesj-730	47	10	which	which	PRON
cuesj-730	47	11	are	be	AUX
cuesj-730	47	12	{	{	PUNCT
cuesj-730	47	13	p1	p1	NOUN
cuesj-730	47	14	,	,	PUNCT
cuesj-730	47	15	p2	p2	PROPN
cuesj-730	47	16	}	}	PUNCT
cuesj-730	47	17	,	,	PUNCT
cuesj-730	47	18	{	{	PUNCT
cuesj-730	47	19	p3	p3	PROPN
cuesj-730	47	20	,	,	PUNCT
cuesj-730	47	21	p4	p4	ADJ
cuesj-730	47	22	,	,	PUNCT
cuesj-730	47	23	p5	p5	ADJ
cuesj-730	47	24	,	,	PUNCT
cuesj-730	47	25	p6	p6	PROPN
cuesj-730	47	26	}	}	PUNCT
cuesj-730	47	27	,	,	PUNCT
cuesj-730	47	28	{	{	PUNCT
cuesj-730	47	29	p7	p7	PROPN
cuesj-730	47	30	,	,	PUNCT
cuesj-730	47	31	p8	p8	PROPN
cuesj-730	47	32	}	}	PUNCT
cuesj-730	47	33	,	,	PUNCT
cuesj-730	47	34	{	{	PUNCT
cuesj-730	47	35	p9	p9	PROPN
cuesj-730	47	36	,	,	PUNCT
cuesj-730	47	37	p10	p10	NOUN
cuesj-730	47	38	}	}	PUNCT
cuesj-730	47	39	,	,	PUNCT
cuesj-730	47	40	and	and	CCONJ
cuesj-730	47	41	{	{	PUNCT
cuesj-730	47	42	p11	p11	NOUN
cuesj-730	47	43	,	,	PUNCT
cuesj-730	47	44	p12	p12	ADJ
cuesj-730	47	45	,	,	PUNCT
cuesj-730	47	46	p13	p13	NOUN
cuesj-730	47	47	,	,	PUNCT
cuesj-730	47	48	p14	p14	PROPN
cuesj-730	47	49	}	}	PUNCT
cuesj-730	47	50	.	.	PUNCT
cuesj-730	48	1	the	the	DET
cuesj-730	48	2	aim	aim	NOUN
cuesj-730	48	3	of	of	ADP
cuesj-730	48	4	grid	grid	NOUN
cuesj-730	48	5	design	design	NOUN
cuesj-730	48	6	is	be	AUX
cuesj-730	48	7	to	to	PART
cuesj-730	48	8	calculate	calculate	VERB
cuesj-730	48	9	travel	travel	NOUN
cuesj-730	48	10	speed	speed	NOUN
cuesj-730	48	11	,	,	PUNCT
cuesj-730	48	12	traffic	traffic	NOUN
cuesj-730	48	13	flow	flow	NOUN
cuesj-730	48	14	,	,	PUNCT
cuesj-730	48	15	and	and	CCONJ
cuesj-730	48	16	travel	travel	NOUN
cuesj-730	48	17	time	time	NOUN
cuesj-730	48	18	for	for	ADP
cuesj-730	48	19	each	each	DET
cuesj-730	48	20	road	road	NOUN
cuesj-730	48	21	segment	segment	NOUN
cuesj-730	48	22	.	.	PUNCT
cuesj-730	49	1	route	route	NOUN
cuesj-730	49	2	planning	planning	NOUN
cuesj-730	49	3	for	for	ADP
cuesj-730	49	4	multiple	multiple	ADJ
cuesj-730	49	5	destination	destination	NOUN
cuesj-730	49	6	another	another	DET
cuesj-730	49	7	challenge	challenge	NOUN
cuesj-730	49	8	that	that	PRON
cuesj-730	49	9	faces	face	VERB
cuesj-730	49	10	multiple	multiple	ADJ
cuesj-730	49	11	destination	destination	NOUN
cuesj-730	49	12	route	route	NOUN
cuesj-730	49	13	discovery	discovery	PROPN
cuesj-730	49	14	protocols	protocol	NOUN
cuesj-730	49	15	is	be	AUX
cuesj-730	49	16	how	how	SCONJ
cuesj-730	49	17	to	to	PART
cuesj-730	49	18	find	find	VERB
cuesj-730	49	19	the	the	DET
cuesj-730	49	20	route	route	NOUN
cuesj-730	49	21	plan	plan	NOUN
cuesj-730	49	22	to	to	PART
cuesj-730	49	23	multi	multi	NOUN
cuesj-730	49	24	-	-	NOUN
cuesj-730	49	25	destination	destination	NOUN
cuesj-730	49	26	.	.	PUNCT
cuesj-730	50	1	in[11	in[11	VERB
cuesj-730	50	2	]	]	X
cuesj-730	50	3	they	they	PRON
cuesj-730	50	4	use	use	VERB
cuesj-730	50	5	a	a	DET
cuesj-730	50	6	dynamic	dynamic	ADJ
cuesj-730	50	7	graph	graph	NOUN
cuesj-730	50	8	generator	generator	NOUN
cuesj-730	50	9	,	,	PUNCT
cuesj-730	50	10	where	where	SCONJ
cuesj-730	50	11	the	the	DET
cuesj-730	50	12	path	path	NOUN
cuesj-730	50	13	is	be	AUX
cuesj-730	50	14	generated	generate	VERB
cuesj-730	50	15	from	from	ADP
cuesj-730	50	16	multi	multi	ADJ
cuesj-730	50	17	-	-	ADJ
cuesj-730	50	18	weight	weight	ADJ
cuesj-730	50	19	dynamic	dynamic	ADJ
cuesj-730	50	20	directed	direct	VERB
cuesj-730	50	21	graph	graph	NOUN
cuesj-730	50	22	.	.	PUNCT
cuesj-730	51	1	the	the	DET
cuesj-730	51	2	method	method	NOUN
cuesj-730	51	3	is	be	AUX
cuesj-730	51	4	implemented	implement	VERB
cuesj-730	51	5	using	use	VERB
cuesj-730	51	6	directed	direct	VERB
cuesj-730	51	7	graph	graph	NOUN
cuesj-730	51	8	with	with	ADP
cuesj-730	51	9	map	map	NOUN
cuesj-730	51	10	information	information	NOUN
cuesj-730	51	11	;	;	PUNCT
cuesj-730	51	12	then	then	ADV
cuesj-730	51	13	,	,	PUNCT
cuesj-730	51	14	the	the	DET
cuesj-730	51	15	travel	travel	NOUN
cuesj-730	51	16	costs	cost	NOUN
cuesj-730	51	17	of	of	ADP
cuesj-730	51	18	different	different	ADJ
cuesj-730	51	19	time	time	NOUN
cuesj-730	51	20	slots	slot	NOUN
cuesj-730	51	21	are	be	AUX
cuesj-730	51	22	calculated	calculate	VERB
cuesj-730	51	23	by	by	ADP
cuesj-730	51	24	going	go	VERB
cuesj-730	51	25	through	through	ADP
cuesj-730	51	26	all	all	DET
cuesj-730	51	27	the	the	DET
cuesj-730	51	28	edges	edge	NOUN
cuesj-730	51	29	and	and	CCONJ
cuesj-730	51	30	vertices	vertex	NOUN
cuesj-730	51	31	.	.	PUNCT
cuesj-730	52	1	google	google	PROPN
cuesj-730	52	2	map	map	NOUN
cuesj-730	52	3	application	application	NOUN
cuesj-730	52	4	for	for	ADP
cuesj-730	52	5	multiple	multiple	ADJ
cuesj-730	52	6	destination	destination	NOUN
cuesj-730	52	7	route	route	NOUN
cuesj-730	52	8	planning	planning	NOUN
cuesj-730	52	9	in	in	ADP
cuesj-730	52	10	this	this	DET
cuesj-730	52	11	section	section	NOUN
cuesj-730	53	1	,	,	PUNCT
cuesj-730	53	2	we	we	PRON
cuesj-730	53	3	explain	explain	VERB
cuesj-730	53	4	the	the	DET
cuesj-730	53	5	most	most	ADJ
cuesj-730	53	6	application	application	NOUN
cuesj-730	53	7	that	that	PRON
cuesj-730	53	8	is	be	AUX
cuesj-730	53	9	used	use	VERB
cuesj-730	53	10	for	for	ADP
cuesj-730	53	11	route	route	NOUN
cuesj-730	53	12	planning	planning	NOUN
cuesj-730	53	13	,	,	PUNCT
cuesj-730	53	14	which	which	PRON
cuesj-730	53	15	is	be	AUX
cuesj-730	53	16	google	google	PROPN
cuesj-730	53	17	map	map	NOUN
cuesj-730	53	18	application	application	NOUN
cuesj-730	53	19	.	.	PUNCT
cuesj-730	54	1	many	many	ADJ
cuesj-730	54	2	citizens	citizen	NOUN
cuesj-730	54	3	use	use	VERB
cuesj-730	54	4	google	google	NOUN
cuesj-730	54	5	map	map	NOUN
cuesj-730	54	6	application	application	NOUN
cuesj-730	54	7	as	as	ADP
cuesj-730	54	8	a	a	DET
cuesj-730	54	9	navigation	navigation	NOUN
cuesj-730	54	10	application	application	NOUN
cuesj-730	54	11	around	around	ADP
cuesj-730	54	12	the	the	DET
cuesj-730	54	13	city	city	NOUN
cuesj-730	54	14	.	.	PUNCT
cuesj-730	55	1	google	google	PROPN
cuesj-730	55	2	maps	map	NOUN
cuesj-730	55	3	are	be	AUX
cuesj-730	55	4	a	a	DET
cuesj-730	55	5	free	free	ADJ
cuesj-730	55	6	online	online	ADJ
cuesj-730	55	7	graphic	graphic	ADJ
cuesj-730	55	8	map	map	NOUN
cuesj-730	55	9	service	service	NOUN
cuesj-730	55	10	that	that	PRON
cuesj-730	55	11	google	google	PROPN
cuesj-730	55	12	provides	provide	VERB
cuesj-730	55	13	it	it	PRON
cuesj-730	55	14	in	in	ADP
cuesj-730	55	15	2005.[17	2005.[17	NUM
cuesj-730	55	16	]	]	PUNCT
cuesj-730	55	17	this	this	DET
cuesj-730	55	18	service	service	NOUN
cuesj-730	55	19	provides	provide	VERB
cuesj-730	55	20	several	several	ADJ
cuesj-730	55	21	information	information	NOUN
cuesj-730	55	22	such	such	ADJ
cuesj-730	55	23	as	as	ADP
cuesj-730	55	24	:	:	PUNCT
cuesj-730	55	25	roadmaps	roadmap	NOUN
cuesj-730	55	26	,	,	PUNCT
cuesj-730	55	27	a	a	DET
cuesj-730	55	28	distance	distance	NOUN
cuesj-730	55	29	between	between	ADP
cuesj-730	55	30	two	two	NUM
cuesj-730	55	31	or	or	CCONJ
cuesj-730	55	32	more	more	ADJ
cuesj-730	55	33	locations	location	NOUN
cuesj-730	55	34	,	,	PUNCT
cuesj-730	55	35	traffic	traffic	NOUN
cuesj-730	55	36	conditions	condition	NOUN
cuesj-730	55	37	,	,	PUNCT
cuesj-730	55	38	and	and	CCONJ
cuesj-730	55	39	route	route	NOUN
cuesj-730	55	40	for	for	ADP
cuesj-730	55	41	traveling	travel	VERB
cuesj-730	55	42	by	by	ADP
cuesj-730	55	43	foot	foot	NOUN
cuesj-730	55	44	,	,	PUNCT
cuesj-730	55	45	car	car	NOUN
cuesj-730	55	46	,	,	PUNCT
cuesj-730	55	47	and	and	CCONJ
cuesj-730	55	48	bike.[18	bike.[18	NUM
cuesj-730	55	49	]	]	PUNCT
cuesj-730	55	50	we	we	PRON
cuesj-730	55	51	choose	choose	VERB
cuesj-730	55	52	google	google	NOUN
cuesj-730	55	53	map	map	NOUN
cuesj-730	55	54	for	for	ADP
cuesj-730	55	55	erbil	erbil	PROPN
cuesj-730	55	56	city	city	PROPN
cuesj-730	55	57	as	as	ADP
cuesj-730	55	58	case	case	NOUN
cuesj-730	55	59	study	study	NOUN
cuesj-730	55	60	.	.	PUNCT
cuesj-730	56	1	erbil	erbil	PROPN
cuesj-730	56	2	is	be	AUX
cuesj-730	56	3	the	the	DET
cuesj-730	56	4	capital	capital	NOUN
cuesj-730	56	5	city	city	NOUN
cuesj-730	56	6	of	of	ADP
cuesj-730	56	7	kurdistan	kurdistan	PROPN
cuesj-730	56	8	region	region	NOUN
cuesj-730	56	9	–	–	PUNCT
cuesj-730	56	10	iraq	iraq	PROPN
cuesj-730	56	11	.	.	PUNCT
cuesj-730	57	1	erbil	erbil	PROPN
cuesj-730	57	2	city	city	PROPN
cuesj-730	57	3	has	have	VERB
cuesj-730	57	4	five	five	NUM
cuesj-730	57	5	main	main	ADJ
cuesj-730	57	6	roads	road	NOUN
cuesj-730	57	7	which	which	PRON
cuesj-730	57	8	are	be	AUX
cuesj-730	57	9	as	as	SCONJ
cuesj-730	57	10	follows	follow	VERB
cuesj-730	57	11	:	:	PUNCT
cuesj-730	57	12	kasnazan	kasnazan	ADJ
cuesj-730	57	13	road	road	NOUN
cuesj-730	57	14	,	,	PUNCT
cuesj-730	57	15	masif	masif	NOUN
cuesj-730	57	16	road	road	NOUN
cuesj-730	57	17	,	,	PUNCT
cuesj-730	57	18	bahirka	bahirka	PROPN
cuesj-730	57	19	road	road	PROPN
cuesj-730	57	20	,	,	PUNCT
cuesj-730	57	21	kirkuk	kirkuk	PROPN
cuesj-730	57	22	road	road	NOUN
cuesj-730	57	23	,	,	PUNCT
cuesj-730	57	24	and	and	CCONJ
cuesj-730	57	25	mosul	mosul	PROPN
cuesj-730	57	26	road	road	NOUN
cuesj-730	57	27	,	,	PUNCT
cuesj-730	57	28	as	as	SCONJ
cuesj-730	57	29	shown	show	VERB
cuesj-730	57	30	in	in	ADP
cuesj-730	57	31	figure	figure	NOUN
cuesj-730	57	32	4.[19	4.[19	NUM
cuesj-730	57	33	]	]	X
cuesj-730	57	34	google	google	NOUN
cuesj-730	57	35	map	map	NOUN
cuesj-730	57	36	application	application	NOUN
cuesj-730	57	37	is	be	AUX
cuesj-730	57	38	used	use	VERB
cuesj-730	57	39	to	to	PART
cuesj-730	57	40	find	find	VERB
cuesj-730	57	41	the	the	DET
cuesj-730	57	42	route	route	NOUN
cuesj-730	57	43	form	form	NOUN
cuesj-730	57	44	source	source	NOUN
cuesj-730	57	45	location	location	NOUN
cuesj-730	57	46	to	to	ADP
cuesj-730	57	47	one	one	NUM
cuesj-730	57	48	destination	destination	NOUN
cuesj-730	57	49	or	or	CCONJ
cuesj-730	57	50	multiple	multiple	ADJ
cuesj-730	57	51	destination	destination	NOUN
cuesj-730	57	52	.	.	PUNCT
cuesj-730	58	1	we	we	PRON
cuesj-730	58	2	identified	identify	VERB
cuesj-730	58	3	a	a	DET
cuesj-730	58	4	problem	problem	NOUN
cuesj-730	58	5	in	in	ADP
cuesj-730	58	6	google	google	PROPN
cuesj-730	58	7	map	map	NOUN
cuesj-730	58	8	application	application	NOUN
cuesj-730	58	9	when	when	SCONJ
cuesj-730	58	10	it	it	PRON
cuesj-730	58	11	is	be	AUX
cuesj-730	58	12	used	use	VERB
cuesj-730	58	13	for	for	ADP
cuesj-730	58	14	multiple	multiple	ADJ
cuesj-730	58	15	destination	destination	NOUN
cuesj-730	58	16	,	,	PUNCT
cuesj-730	58	17	which	which	PRON
cuesj-730	58	18	is	be	AUX
cuesj-730	58	19	that	that	SCONJ
cuesj-730	58	20	the	the	DET
cuesj-730	58	21	route	route	NOUN
cuesj-730	58	22	plan	plan	NOUN
cuesj-730	58	23	is	be	AUX
cuesj-730	58	24	not	not	PART
cuesj-730	58	25	optimized	optimize	VERB
cuesj-730	58	26	with	with	ADP
cuesj-730	58	27	the	the	DET
cuesj-730	58	28	shortest	short	ADJ
cuesj-730	58	29	path	path	NOUN
cuesj-730	58	30	,	,	PUNCT
cuesj-730	58	31	the	the	DET
cuesj-730	58	32	user	user	NOUN
cuesj-730	58	33	needs	need	VERB
cuesj-730	58	34	to	to	PART
cuesj-730	58	35	select	select	VERB
cuesj-730	58	36	manually	manually	ADV
cuesj-730	58	37	the	the	DET
cuesj-730	58	38	multiple	multiple	ADJ
cuesj-730	58	39	destination	destination	NOUN
cuesj-730	58	40	in	in	ADP
cuesj-730	58	41	an	an	DET
cuesj-730	58	42	order	order	NOUN
cuesj-730	58	43	from	from	ADP
cuesj-730	58	44	the	the	DET
cuesj-730	58	45	near	near	ADJ
cuesj-730	58	46	location	location	NOUN
cuesj-730	58	47	to	to	ADP
cuesj-730	58	48	far	far	ADJ
cuesj-730	58	49	location	location	NOUN
cuesj-730	58	50	from	from	ADP
cuesj-730	58	51	the	the	DET
cuesj-730	58	52	source	source	NOUN
cuesj-730	58	53	to	to	PART
cuesj-730	58	54	give	give	VERB
cuesj-730	58	55	the	the	DET
cuesj-730	58	56	shortest	short	ADJ
cuesj-730	58	57	path	path	NOUN
cuesj-730	58	58	.	.	PUNCT
cuesj-730	59	1	table	table	NOUN
cuesj-730	59	2	1	1	NUM
cuesj-730	59	3	:	:	PUNCT
cuesj-730	59	4	overview	overview	NOUN
cuesj-730	59	5	of	of	ADP
cuesj-730	59	6	related	related	ADJ
cuesj-730	59	7	works	work	NOUN
cuesj-730	59	8	for	for	ADP
cuesj-730	59	9	multiple	multiple	ADJ
cuesj-730	59	10	destination	destination	NOUN
cuesj-730	59	11	route	route	NOUN
cuesj-730	59	12	discovery	discovery	NOUN
cuesj-730	59	13	authors	author	NOUN
cuesj-730	59	14	multiple	multiple	ADJ
cuesj-730	59	15	destination	destination	NOUN
cuesj-730	59	16	route	route	PROPN
cuesj-730	59	17	discovery	discovery	PROPN
cuesj-730	59	18	protocol	protocol	PROPN
cuesj-730	59	19	huang	huang	PROPN
cuesj-730	59	20	et	et	PROPN
cuesj-730	59	21	al	al	PROPN
cuesj-730	59	22	.	.	PROPN
cuesj-730	59	23	,[11	,[11	PROPN
cuesj-730	60	1	]	]	PUNCT
cuesj-730	60	2	2021	2021	NUM
cuesj-730	60	3	satisfy	satisfy	NOUN
cuesj-730	60	4	user	user	NOUN
cuesj-730	60	5	multiple	multiple	ADJ
cuesj-730	60	6	requirements	requirement	NOUN
cuesj-730	60	7	relate	relate	VERB
cuesj-730	60	8	to	to	PART
cuesj-730	60	9	cost	cost	NOUN
cuesj-730	60	10	and	and	CCONJ
cuesj-730	60	11	time	time	NOUN
cuesj-730	60	12	with	with	ADP
cuesj-730	60	13	deadlines	deadline	NOUN
cuesj-730	60	14	zhuang	zhuang	PROPN
cuesj-730	60	15	et	et	PROPN
cuesj-730	60	16	al	al	PROPN
cuesj-730	60	17	.	.	PROPN
cuesj-730	60	18	,[13	,[13	PROPN
cuesj-730	60	19	]	]	PUNCT
cuesj-730	60	20	2021	2021	NUM
cuesj-730	60	21	consider	consider	VERB
cuesj-730	60	22	obstacles	obstacle	NOUN
cuesj-730	60	23	in	in	ADP
cuesj-730	60	24	the	the	DET
cuesj-730	60	25	environment	environment	NOUN
cuesj-730	60	26	when	when	SCONJ
cuesj-730	60	27	the	the	DET
cuesj-730	60	28	mobile	mobile	ADJ
cuesj-730	60	29	robot	robot	NOUN
cuesj-730	60	30	finds	find	VERB
cuesj-730	60	31	the	the	DET
cuesj-730	60	32	optimal	optimal	ADJ
cuesj-730	60	33	path	path	NOUN
cuesj-730	60	34	of	of	ADP
cuesj-730	60	35	multiple	multiple	ADJ
cuesj-730	60	36	destinations	destination	NOUN
cuesj-730	60	37	asaduzzaman	asaduzzaman	NOUN
cuesj-730	60	38	et	et	PROPN
cuesj-730	60	39	al	al	PROPN
cuesj-730	60	40	.	.	PROPN
cuesj-730	60	41	,[14	,[14	PROPN
cuesj-730	60	42	]	]	PUNCT
cuesj-730	60	43	2021	2021	NUM
cuesj-730	60	44	consider	consider	VERB
cuesj-730	60	45	indoor	indoor	ADJ
cuesj-730	60	46	environment	environment	NOUN
cuesj-730	60	47	to	to	PART
cuesj-730	60	48	find	find	VERB
cuesj-730	60	49	the	the	DET
cuesj-730	60	50	shortest	short	ADJ
cuesj-730	60	51	path	path	NOUN
cuesj-730	60	52	for	for	ADP
cuesj-730	60	53	multiple	multiple	ADJ
cuesj-730	60	54	destination	destination	NOUN
cuesj-730	60	55	like	like	ADP
cuesj-730	60	56	in	in	ADP
cuesj-730	60	57	warehouses	warehouse	NOUN
cuesj-730	60	58	or	or	CCONJ
cuesj-730	60	59	libraries	library	NOUN
cuesj-730	60	60	when	when	SCONJ
cuesj-730	60	61	a	a	DET
cuesj-730	60	62	customer	customer	NOUN
cuesj-730	60	63	needs	need	VERB
cuesj-730	60	64	multiple	multiple	ADJ
cuesj-730	60	65	items	item	NOUN
cuesj-730	60	66	to	to	PART
cuesj-730	60	67	search	search	VERB
cuesj-730	60	68	abeer	abeer	PROPN
cuesj-730	60	69	et	et	PROPN
cuesj-730	60	70	al	al	PROPN
cuesj-730	60	71	.	.	PROPN
cuesj-730	60	72	,[15	,[15	PUNCT
cuesj-730	60	73	]	]	PUNCT
cuesj-730	60	74	2019	2019	NUM
cuesj-730	60	75	consider	consider	VERB
cuesj-730	60	76	real	real	ADJ
cuesj-730	60	77	-	-	PUNCT
cuesj-730	60	78	time	time	NOUN
cuesj-730	60	79	traffic	traffic	NOUN
cuesj-730	60	80	conditions	condition	NOUN
cuesj-730	60	81	in	in	ADP
cuesj-730	60	82	the	the	DET
cuesj-730	60	83	city	city	NOUN
cuesj-730	60	84	and	and	CCONJ
cuesj-730	60	85	free	free	ADJ
cuesj-730	60	86	parking	parking	NOUN
cuesj-730	60	87	places	place	NOUN
cuesj-730	60	88	for	for	ADP
cuesj-730	60	89	drivers	driver	NOUN
cuesj-730	60	90	eric	eric	PROPN
cuesj-730	60	91	et	et	PROPN
cuesj-730	60	92	al	al	PROPN
cuesj-730	60	93	.	.	PROPN
cuesj-730	60	94	,[16	,[16	PROPN
cuesj-730	60	95	]	]	PUNCT
cuesj-730	60	96	2011	2011	NUM
cuesj-730	60	97	use	use	VERB
cuesj-730	60	98	cluster	cluster	NOUN
cuesj-730	60	99	strategy	strategy	NOUN
cuesj-730	60	100	to	to	PART
cuesj-730	60	101	cluster	cluster	VERB
cuesj-730	60	102	the	the	DET
cuesj-730	60	103	destinations	destination	NOUN
cuesj-730	60	104	into	into	ADP
cuesj-730	60	105	several	several	ADJ
cuesj-730	60	106	destination	destination	NOUN
cuesj-730	60	107	clusters	cluster	NOUN
cuesj-730	60	108	proposed	propose	VERB
cuesj-730	60	109	artificial	artificial	ADJ
cuesj-730	60	110	ant	ant	ADJ
cuesj-730	60	111	colony	colony	NOUN
cuesj-730	60	112	for	for	ADP
cuesj-730	60	113	multiple	multiple	ADJ
cuesj-730	60	114	destination	destination	NOUN
cuesj-730	60	115	route	route	NOUN
cuesj-730	60	116	discovery	discovery	NOUN
cuesj-730	60	117	protocol	protocol	PROPN
cuesj-730	60	118	consider	consider	VERB
cuesj-730	60	119	artificial	artificial	ADJ
cuesj-730	60	120	ant	ant	ADJ
cuesj-730	60	121	colony	colony	NOUN
cuesj-730	60	122	and	and	CCONJ
cuesj-730	60	123	real	real	ADJ
cuesj-730	60	124	-	-	PUNCT
cuesj-730	60	125	time	time	NOUN
cuesj-730	60	126	route	route	NOUN
cuesj-730	60	127	discovery	discovery	NOUN
cuesj-730	60	128	for	for	ADP
cuesj-730	60	129	multiple	multiple	ADJ
cuesj-730	60	130	destination	destination	NOUN
cuesj-730	60	131	when	when	SCONJ
cuesj-730	60	132	a	a	DET
cuesj-730	60	133	new	new	ADJ
cuesj-730	60	134	destination	destination	NOUN
cuesj-730	60	135	will	will	AUX
cuesj-730	60	136	be	be	AUX
cuesj-730	60	137	available	available	ADJ
cuesj-730	60	138	with	with	ADP
cuesj-730	60	139	the	the	DET
cuesj-730	60	140	shortest	short	ADJ
cuesj-730	60	141	path	path	NOUN
cuesj-730	60	142	figure	figure	NOUN
cuesj-730	60	143	5	5	NUM
cuesj-730	60	144	:	:	PUNCT
cuesj-730	60	145	path	path	NOUN
cuesj-730	60	146	1	1	NUM
cuesj-730	60	147	route	route	NOUN
cuesj-730	60	148	from	from	ADP
cuesj-730	60	149	google	google	PROPN
cuesj-730	60	150	map	map	NOUN
cuesj-730	60	151	figure	figure	NOUN
cuesj-730	60	152	7	7	NUM
cuesj-730	60	153	:	:	PUNCT
cuesj-730	60	154	path	path	NOUN
cuesj-730	60	155	3	3	NUM
cuesj-730	60	156	route	route	NOUN
cuesj-730	60	157	from	from	ADP
cuesj-730	60	158	google	google	PROPN
cuesj-730	60	159	map	map	NOUN
cuesj-730	60	160	figure	figure	NOUN
cuesj-730	60	161	6	6	NUM
cuesj-730	60	162	:	:	PUNCT
cuesj-730	60	163	path	path	NOUN
cuesj-730	60	164	2	2	NUM
cuesj-730	60	165	route	route	NOUN
cuesj-730	60	166	from	from	ADP
cuesj-730	60	167	google	google	PROPN
cuesj-730	60	168	map	map	PROPN
cuesj-730	60	169	ismail	ismail	PROPN
cuesj-730	60	170	,	,	PUNCT
cuesj-730	60	171	et	et	PROPN
cuesj-730	60	172	al	al	PROPN
cuesj-730	60	173	.	.	PROPN
cuesj-730	60	174	:	:	PUNCT
cuesj-730	61	1	artificial	artificial	ADJ
cuesj-730	61	2	multiple	multiple	ADJ
cuesj-730	61	3	destination	destination	NOUN
cuesj-730	61	4	discovery	discovery	NOUN
cuesj-730	61	5	:	:	PUNCT
cuesj-730	61	6	google	google	PROPN
cuesj-730	61	7	map	map	NOUN
cuesj-730	61	8	case	case	NOUN
cuesj-730	61	9	study	study	NOUN
cuesj-730	61	10	44	44	NUM
cuesj-730	61	11	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-730	61	12	cuesj	cuesj	ADJ
cuesj-730	61	13	2022	2022	NUM
cuesj-730	61	14	,	,	PUNCT
cuesj-730	61	15	6	6	NUM
cuesj-730	61	16	(	(	PUNCT
cuesj-730	61	17	2	2	NUM
cuesj-730	61	18	):	):	PUNCT
cuesj-730	61	19	41	41	NUM
cuesj-730	61	20	-	-	SYM
cuesj-730	61	21	48	48	NUM
cuesj-730	61	22	the	the	DET
cuesj-730	61	23	proposed	propose	VERB
cuesj-730	61	24	development	development	NOUN
cuesj-730	61	25	for	for	ADP
cuesj-730	61	26	multiple	multiple	ADJ
cuesj-730	61	27	destination	destination	NOUN
cuesj-730	61	28	route	route	NOUN
cuesj-730	61	29	planning	planning	NOUN
cuesj-730	61	30	in	in	ADP
cuesj-730	61	31	aco	aco	PROPN
cuesj-730	61	32	algorithm	algorithm	PROPN
cuesj-730	61	33	for	for	ADP
cuesj-730	61	34	multiple	multiple	ADJ
cuesj-730	61	35	destination	destination	NOUN
cuesj-730	61	36	route	route	NOUN
cuesj-730	61	37	planning	planning	NOUN
cuesj-730	61	38	,	,	PUNCT
cuesj-730	61	39	ten	ten	NUM
cuesj-730	61	40	artificial	artificial	ADJ
cuesj-730	61	41	ants	ant	NOUN
cuesj-730	61	42	will	will	AUX
cuesj-730	61	43	generate	generate	VERB
cuesj-730	61	44	different	different	ADJ
cuesj-730	61	45	routes	route	NOUN
cuesj-730	61	46	.	.	PUNCT
cuesj-730	62	1	all	all	DET
cuesj-730	62	2	the	the	DET
cuesj-730	62	3	routes	route	NOUN
cuesj-730	62	4	will	will	AUX
cuesj-730	62	5	be	be	AUX
cuesj-730	62	6	found	find	VERB
cuesj-730	62	7	,	,	PUNCT
cuesj-730	62	8	and	and	CCONJ
cuesj-730	62	9	then	then	ADV
cuesj-730	62	10	,	,	PUNCT
cuesj-730	62	11	the	the	DET
cuesj-730	62	12	best	good	ADJ
cuesj-730	62	13	route	route	NOUN
cuesj-730	62	14	which	which	PRON
cuesj-730	62	15	has	have	VERB
cuesj-730	62	16	the	the	DET
cuesj-730	62	17	minimum	minimum	ADJ
cuesj-730	62	18	cost	cost	NOUN
cuesj-730	62	19	will	will	AUX
cuesj-730	62	20	be	be	AUX
cuesj-730	62	21	chosen	choose	VERB
cuesj-730	62	22	and	and	CCONJ
cuesj-730	62	23	used	use	VERB
cuesj-730	62	24	.	.	PUNCT
cuesj-730	63	1	during	during	ADP
cuesj-730	63	2	the	the	DET
cuesj-730	63	3	ant	ant	NOUN
cuesj-730	63	4	walk	walk	VERB
cuesj-730	63	5	forward	forward	ADV
cuesj-730	63	6	and	and	CCONJ
cuesj-730	63	7	backward	backward	ADV
cuesj-730	63	8	,	,	PUNCT
cuesj-730	63	9	the	the	DET
cuesj-730	63	10	pheromone	pheromone	NOUN
cuesj-730	63	11	trails	trail	NOUN
cuesj-730	63	12	are	be	AUX
cuesj-730	63	13	updated	update	VERB
cuesj-730	63	14	by	by	ADP
cuesj-730	63	15	deposition	deposition	NOUN
cuesj-730	63	16	and	and	CCONJ
cuesj-730	63	17	evaporations	evaporation	NOUN
cuesj-730	63	18	.	.	PUNCT
cuesj-730	64	1	algorithm	algorithm	NOUN
cuesj-730	64	2	(	(	PUNCT
cuesj-730	64	3	1	1	X
cuesj-730	64	4	)	)	PUNCT
cuesj-730	64	5	is	be	AUX
cuesj-730	64	6	the	the	DET
cuesj-730	64	7	pseudocode	pseudocode	NOUN
cuesj-730	64	8	of	of	ADP
cuesj-730	64	9	the	the	DET
cuesj-730	64	10	aco	aco	PROPN
cuesj-730	64	11	algorithm	algorithm	NOUN
cuesj-730	64	12	for	for	ADP
cuesj-730	64	13	multiple	multiple	ADJ
cuesj-730	64	14	destination	destination	NOUN
cuesj-730	64	15	route	route	NOUN
cuesj-730	64	16	planning	planning	NOUN
cuesj-730	64	17	.	.	PUNCT
cuesj-730	65	1	we	we	PRON
cuesj-730	65	2	assume	assume	VERB
cuesj-730	65	3	that	that	SCONJ
cuesj-730	65	4	there	there	PRON
cuesj-730	65	5	is	be	VERB
cuesj-730	65	6	a	a	DET
cuesj-730	65	7	fleet	fleet	NOUN
cuesj-730	65	8	of	of	ADP
cuesj-730	65	9	vehicles	vehicle	NOUN
cuesj-730	65	10	and	and	CCONJ
cuesj-730	65	11	drivers	driver	NOUN
cuesj-730	65	12	that	that	PRON
cuesj-730	65	13	are	be	AUX
cuesj-730	65	14	available	available	ADJ
cuesj-730	65	15	,	,	PUNCT
cuesj-730	65	16	and	and	CCONJ
cuesj-730	65	17	each	each	DET
cuesj-730	65	18	driver	driver	NOUN
cuesj-730	65	19	is	be	AUX
cuesj-730	65	20	responsible	responsible	ADJ
cuesj-730	65	21	for	for	ADP
cuesj-730	65	22	a	a	DET
cuesj-730	65	23	specific	specific	ADJ
cuesj-730	65	24	region	region	NOUN
cuesj-730	65	25	in	in	ADP
cuesj-730	65	26	the	the	DET
cuesj-730	65	27	erbil	erbil	PROPN
cuesj-730	65	28	city	city	PROPN
cuesj-730	65	29	.	.	PUNCT
cuesj-730	66	1	in	in	ADP
cuesj-730	66	2	our	our	PRON
cuesj-730	66	3	proposal	proposal	NOUN
cuesj-730	66	4	,	,	PUNCT
cuesj-730	66	5	we	we	PRON
cuesj-730	66	6	assign	assign	VERB
cuesj-730	66	7	one	one	NUM
cuesj-730	66	8	driver	driver	NOUN
cuesj-730	66	9	to	to	PART
cuesj-730	66	10	cover	cover	VERB
cuesj-730	66	11	the	the	DET
cuesj-730	66	12	delivery	delivery	NOUN
cuesj-730	66	13	for	for	ADP
cuesj-730	66	14	each	each	DET
cuesj-730	66	15	main	main	ADJ
cuesj-730	66	16	roads	road	NOUN
cuesj-730	66	17	in	in	ADP
cuesj-730	66	18	the	the	DET
cuesj-730	66	19	city	city	NOUN
cuesj-730	66	20	.	.	PUNCT
cuesj-730	67	1	first	first	ADV
cuesj-730	67	2	,	,	PUNCT
cuesj-730	67	3	the	the	DET
cuesj-730	67	4	multiple	multiple	ADJ
cuesj-730	67	5	destination	destination	NOUN
cuesj-730	67	6	must	must	AUX
cuesj-730	67	7	identify	identify	VERB
cuesj-730	67	8	which	which	DET
cuesj-730	67	9	region	region	NOUN
cuesj-730	67	10	it	it	PRON
cuesj-730	67	11	belongs	belong	VERB
cuesj-730	67	12	to	to	ADP
cuesj-730	67	13	then	then	ADV
cuesj-730	67	14	,	,	PUNCT
cuesj-730	67	15	the	the	DET
cuesj-730	67	16	driver	driver	NOUN
cuesj-730	67	17	region	region	NOUN
cuesj-730	67	18	will	will	AUX
cuesj-730	67	19	visit	visit	VERB
cuesj-730	67	20	all	all	DET
cuesj-730	67	21	destination	destination	NOUN
cuesj-730	67	22	.	.	PUNCT
cuesj-730	68	1	in	in	ADP
cuesj-730	68	2	algorithm	algorithm	NOUN
cuesj-730	68	3	(	(	PUNCT
cuesj-730	68	4	1	1	NUM
cuesj-730	68	5	)	)	PUNCT
cuesj-730	68	6	,	,	PUNCT
cuesj-730	68	7	the	the	DET
cuesj-730	68	8	initial	initial	ADJ
cuesj-730	68	9	parameters	parameter	NOUN
cuesj-730	68	10	represent	represent	VERB
cuesj-730	68	11	:	:	PUNCT
cuesj-730	68	12	m	m	VERB
cuesj-730	68	13	is	be	AUX
cuesj-730	68	14	number	number	NOUN
cuesj-730	68	15	of	of	ADP
cuesj-730	68	16	ants	ant	NOUN
cuesj-730	68	17	,	,	PUNCT
cuesj-730	68	18	e	e	PROPN
cuesj-730	68	19	is	be	AUX
cuesj-730	68	20	evaporation	evaporation	NOUN
cuesj-730	68	21	coefficient	coefficient	NOUN
cuesj-730	68	22	,	,	PUNCT
cuesj-730	68	23	α	α	PROPN
cuesj-730	68	24	is	be	AUX
cuesj-730	68	25	the	the	DET
cuesj-730	68	26	effects	effect	NOUN
cuesj-730	68	27	of	of	ADP
cuesj-730	68	28	ants	ant	NOUN
cuesj-730	68	29	’	'	PUNCT
cuesj-730	68	30	sight	sight	NOUN
cuesj-730	68	31	,	,	PUNCT
cuesj-730	68	32	β	β	X
cuesj-730	68	33	is	be	AUX
cuesj-730	68	34	trace	trace	NOUN
cuesj-730	68	35	’s	’s	PART
cuesj-730	68	36	effect	effect	NOUN
cuesj-730	68	37	,	,	PUNCT
cuesj-730	68	38	and	and	CCONJ
cuesj-730	68	39	ρ	ρ	NOUN
cuesj-730	68	40	is	be	AUX
cuesj-730	68	41	common	common	ADJ
cuesj-730	68	42	cost	cost	NOUN
cuesj-730	68	43	elimination	elimination	NOUN
cuesj-730	68	44	.	.	PUNCT
cuesj-730	69	1	during	during	ADP
cuesj-730	69	2	multiple	multiple	ADJ
cuesj-730	69	3	destination	destination	NOUN
cuesj-730	69	4	route	route	NOUN
cuesj-730	69	5	planning	planning	NOUN
cuesj-730	69	6	,	,	PUNCT
cuesj-730	69	7	a	a	DET
cuesj-730	69	8	new	new	ADJ
cuesj-730	69	9	destination	destination	NOUN
cuesj-730	69	10	may	may	AUX
cuesj-730	69	11	be	be	AUX
cuesj-730	69	12	added	add	VERB
cuesj-730	69	13	to	to	ADP
cuesj-730	69	14	the	the	DET
cuesj-730	69	15	system	system	NOUN
cuesj-730	69	16	,	,	PUNCT
cuesj-730	69	17	where	where	SCONJ
cuesj-730	69	18	the	the	DET
cuesj-730	69	19	system	system	NOUN
cuesj-730	69	20	must	must	AUX
cuesj-730	69	21	consider	consider	VERB
cuesj-730	69	22	the	the	DET
cuesj-730	69	23	update	update	NOUN
cuesj-730	69	24	in	in	ADP
cuesj-730	69	25	route	route	NOUN
cuesj-730	69	26	.	.	PUNCT
cuesj-730	70	1	in	in	ADP
cuesj-730	70	2	this	this	DET
cuesj-730	70	3	case	case	NOUN
cuesj-730	70	4	,	,	PUNCT
cuesj-730	70	5	the	the	DET
cuesj-730	70	6	system	system	NOUN
cuesj-730	70	7	is	be	AUX
cuesj-730	70	8	updated	update	VERB
cuesj-730	70	9	with	with	ADP
cuesj-730	70	10	new	new	ADJ
cuesj-730	70	11	destination	destination	NOUN
cuesj-730	70	12	when	when	SCONJ
cuesj-730	70	13	it	it	PRON
cuesj-730	70	14	gets	get	VERB
cuesj-730	70	15	the	the	DET
cuesj-730	70	16	information	information	NOUN
cuesj-730	70	17	about	about	ADP
cuesj-730	70	18	the	the	DET
cuesj-730	70	19	new	new	ADJ
cuesj-730	70	20	destination	destination	NOUN
cuesj-730	70	21	relate	relate	VERB
cuesj-730	70	22	to	to	ADP
cuesj-730	70	23	its	its	PRON
cuesj-730	70	24	location	location	NOUN
cuesj-730	70	25	and	and	CCONJ
cuesj-730	70	26	distance	distance	NOUN
cuesj-730	70	27	relate	relate	VERB
cuesj-730	70	28	to	to	ADP
cuesj-730	70	29	other	other	ADJ
cuesj-730	70	30	destinations	destination	NOUN
cuesj-730	70	31	.	.	PUNCT
cuesj-730	71	1	the	the	DET
cuesj-730	71	2	information	information	NOUN
cuesj-730	71	3	of	of	ADP
cuesj-730	71	4	cities	city	NOUN
cuesj-730	71	5	is	be	AUX
cuesj-730	71	6	real	real	ADJ
cuesj-730	71	7	information	information	NOUN
cuesj-730	71	8	which	which	PRON
cuesj-730	71	9	are	be	AUX
cuesj-730	71	10	taken	take	VERB
cuesj-730	71	11	from	from	ADP
cuesj-730	71	12	google	google	PROPN
cuesj-730	71	13	map	map	NOUN
cuesj-730	71	14	application	application	NOUN
cuesj-730	71	15	for	for	ADP
cuesj-730	71	16	erbil	erbil	PROPN
cuesj-730	71	17	city	city	PROPN
cuesj-730	71	18	.	.	PUNCT
cuesj-730	72	1	algorithm	algorithm	NOUN
cuesj-730	72	2	(	(	PUNCT
cuesj-730	72	3	1	1	NUM
cuesj-730	72	4	):	):	PUNCT
cuesj-730	72	5	aco	aco	PROPN
cuesj-730	72	6	algorithm	algorithm	PROPN
cuesj-730	72	7	for	for	ADP
cuesj-730	72	8	multiple	multiple	ADJ
cuesj-730	72	9	destination	destination	NOUN
cuesj-730	72	10	route	route	NOUN
cuesj-730	72	11	planning	planning	NOUN
cuesj-730	72	12	input	input	NOUN
cuesj-730	72	13	:	:	PUNCT
cuesj-730	72	14	number	number	NOUN
cuesj-730	72	15	of	of	ADP
cuesj-730	72	16	cities	city	NOUN
cuesj-730	72	17	(	(	PUNCT
cuesj-730	72	18	c	c	NOUN
cuesj-730	72	19	)	)	PUNCT
cuesj-730	72	20	,	,	PUNCT
cuesj-730	72	21	distance	distance	NOUN
cuesj-730	72	22	between	between	ADP
cuesj-730	72	23	cities	city	NOUN
cuesj-730	72	24	(	(	PUNCT
cuesj-730	72	25	d	d	NOUN
cuesj-730	72	26	)	)	PUNCT
cuesj-730	72	27	,	,	PUNCT
cuesj-730	72	28	and	and	CCONJ
cuesj-730	72	29	number	number	NOUN
cuesj-730	72	30	of	of	ADP
cuesj-730	72	31	regions	region	NOUN
cuesj-730	72	32	in	in	ADP
cuesj-730	72	33	the	the	DET
cuesj-730	72	34	city	city	NOUN
cuesj-730	72	35	(	(	PUNCT
cuesj-730	72	36	n	n	CCONJ
cuesj-730	72	37	)	)	PUNCT
cuesj-730	72	38	output	output	NOUN
cuesj-730	72	39	:	:	PUNCT
cuesj-730	72	40	minimum	minimum	ADJ
cuesj-730	72	41	total	total	NOUN
cuesj-730	72	42	distance	distance	NOUN
cuesj-730	72	43	and	and	CCONJ
cuesj-730	72	44	shortest	short	ADJ
cuesj-730	72	45	route	route	NOUN
cuesj-730	72	46	plan	plan	NOUN
cuesj-730	72	47	begin	begin	VERB
cuesj-730	72	48	1	1	NUM
cuesj-730	72	49	.	.	PUNCT
cuesj-730	72	50	initial	initial	ADJ
cuesj-730	72	51	parameters	parameter	NOUN
cuesj-730	72	52	:	:	PUNCT
cuesj-730	73	1	2	2	X
cuesj-730	73	2	.	.	X
cuesj-730	73	3	m=10	m=10	NOUN
cuesj-730	73	4	,	,	PUNCT
cuesj-730	73	5	e=0.15	e=0.15	PROPN
cuesj-730	73	6	,	,	PUNCT
cuesj-730	73	7	α=1	α=1	X
cuesj-730	73	8	,	,	PUNCT
cuesj-730	73	9	β=4	β=4	PROPN
cuesj-730	73	10	,	,	PUNCT
cuesj-730	73	11	ρ=0.97	ρ=0.97	NOUN
cuesj-730	73	12	3	3	NUM
cuesj-730	73	13	.	.	X
cuesj-730	73	14	for	for	ADP
cuesj-730	73	15	each	each	DET
cuesj-730	73	16	region	region	NOUN
cuesj-730	73	17	in	in	ADP
cuesj-730	73	18	the	the	DET
cuesj-730	73	19	city	city	NOUN
cuesj-730	73	20	do	do	VERB
cuesj-730	73	21	4	4	NUM
cuesj-730	73	22	.	.	PUNCT
cuesj-730	74	1	for	for	ADP
cuesj-730	74	2	each	each	DET
cuesj-730	74	3	ant	ant	NOUN
cuesj-730	74	4	do	do	VERB
cuesj-730	74	5	5	5	NUM
cuesj-730	74	6	.	.	PUNCT
cuesj-730	75	1	forward	forward	ADV
cuesj-730	75	2	ant	ant	NOUN
cuesj-730	75	3	and	and	CCONJ
cuesj-730	75	4	generate	generate	VERB
cuesj-730	75	5	place	place	NOUN
cuesj-730	75	6	for	for	SCONJ
cuesj-730	75	7	it	it	PRON
cuesj-730	75	8	select	select	VERB
cuesj-730	75	9	next	next	ADJ
cuesj-730	75	10	node	node	NOUN
cuesj-730	75	11	using	use	VERB
cuesj-730	75	12	probabilistic	probabilistic	ADJ
cuesj-730	75	13	solution	solution	NOUN
cuesj-730	75	14	generation	generation	NOUN
cuesj-730	75	15	add	add	VERB
cuesj-730	75	16	the	the	DET
cuesj-730	75	17	selected	select	VERB
cuesj-730	75	18	node	node	NOUN
cuesj-730	75	19	to	to	ADP
cuesj-730	75	20	the	the	DET
cuesj-730	75	21	route	route	NOUN
cuesj-730	75	22	calculate	calculate	VERB
cuesj-730	75	23	the	the	DET
cuesj-730	75	24	cost	cost	NOUN
cuesj-730	75	25	(	(	PUNCT
cuesj-730	75	26	distance	distance	NOUN
cuesj-730	75	27	)	)	PUNCT
cuesj-730	75	28	of	of	ADP
cuesj-730	75	29	ants	ant	NOUN
cuesj-730	75	30	’	'	PUNCT
cuesj-730	75	31	touring	touring	NOUN
cuesj-730	75	32	add	add	VERB
cuesj-730	75	33	ant	ant	ADJ
cuesj-730	75	34	tour	tour	NOUN
cuesj-730	75	35	cost	cost	NOUN
cuesj-730	75	36	to	to	ADP
cuesj-730	75	37	the	the	DET
cuesj-730	75	38	tour	tour	NOUN
cuesj-730	75	39	set	set	NOUN
cuesj-730	75	40	update	update	NOUN
cuesj-730	75	41	the	the	DET
cuesj-730	75	42	route	route	NOUN
cuesj-730	75	43	information	information	NOUN
cuesj-730	75	44	by	by	ADP
cuesj-730	75	45	updating	update	VERB
cuesj-730	75	46	pheromones	pheromone	NOUN
cuesj-730	75	47	(	(	PUNCT
cuesj-730	75	48	evaporation	evaporation	NOUN
cuesj-730	75	49	and	and	CCONJ
cuesj-730	75	50	deposition	deposition	NOUN
cuesj-730	75	51	process	process	NOUN
cuesj-730	75	52	)	)	PUNCT
cuesj-730	75	53	6	6	NUM
cuesj-730	75	54	.	.	PUNCT
cuesj-730	76	1	if	if	SCONJ
cuesj-730	76	2	new	new	ADJ
cuesj-730	76	3	destination	destination	NOUN
cuesj-730	76	4	is	be	AUX
cuesj-730	76	5	added	add	VERB
cuesj-730	76	6	7	7	NUM
cuesj-730	76	7	.	.	PUNCT
cuesj-730	76	8	update	update	VERB
cuesj-730	76	9	the	the	DET
cuesj-730	76	10	route	route	NOUN
cuesj-730	76	11	information	information	NOUN
cuesj-730	76	12	by	by	ADP
cuesj-730	76	13	getting	get	VERB
cuesj-730	76	14	the	the	DET
cuesj-730	76	15	location	location	NOUN
cuesj-730	76	16	of	of	ADP
cuesj-730	76	17	the	the	DET
cuesj-730	76	18	new	new	ADJ
cuesj-730	76	19	city	city	NOUN
cuesj-730	76	20	and	and	CCONJ
cuesj-730	76	21	added	add	VERB
cuesj-730	76	22	to	to	ADP
cuesj-730	76	23	the	the	DET
cuesj-730	76	24	specified	specified	ADJ
cuesj-730	76	25	region	region	NOUN
cuesj-730	76	26	and	and	CCONJ
cuesj-730	76	27	go	go	VERB
cuesj-730	76	28	to	to	PART
cuesj-730	76	29	step	step	VERB
cuesj-730	76	30	4	4	NUM
cuesj-730	76	31	8	8	NUM
cuesj-730	76	32	.	.	PUNCT
cuesj-730	76	33	determine	determine	VERB
cuesj-730	76	34	the	the	DET
cuesj-730	76	35	best	good	ADJ
cuesj-730	76	36	route	route	NOUN
cuesj-730	76	37	from	from	ADP
cuesj-730	76	38	tour	tour	NOUN
cuesj-730	76	39	set	set	NOUN
cuesj-730	76	40	end	end	NOUN
cuesj-730	76	41	implementation	implementation	NOUN
cuesj-730	76	42	and	and	CCONJ
cuesj-730	76	43	simulation	simulation	NOUN
cuesj-730	76	44	in	in	ADP
cuesj-730	76	45	this	this	DET
cuesj-730	76	46	section	section	NOUN
cuesj-730	76	47	,	,	PUNCT
cuesj-730	76	48	we	we	PRON
cuesj-730	76	49	present	present	VERB
cuesj-730	76	50	the	the	DET
cuesj-730	76	51	implementation	implementation	NOUN
cuesj-730	76	52	of	of	ADP
cuesj-730	76	53	aco	aco	PROPN
cuesj-730	76	54	algorithm	algorithm	PROPN
cuesj-730	76	55	for	for	ADP
cuesj-730	76	56	multiple	multiple	ADJ
cuesj-730	76	57	destination	destination	NOUN
cuesj-730	76	58	route	route	NOUN
cuesj-730	76	59	planning	planning	NOUN
cuesj-730	76	60	and	and	CCONJ
cuesj-730	76	61	google	google	PROPN
cuesj-730	76	62	map	map	NOUN
cuesj-730	76	63	multiple	multiple	ADJ
cuesj-730	76	64	destination	destination	NOUN
cuesj-730	76	65	in	in	ADP
cuesj-730	76	66	erbil	erbil	PROPN
cuesj-730	76	67	city	city	PROPN
cuesj-730	76	68	then	then	ADV
cuesj-730	76	69	evaluate	evaluate	VERB
cuesj-730	76	70	them	they	PRON
cuesj-730	76	71	,	,	PUNCT
cuesj-730	76	72	using	use	VERB
cuesj-730	76	73	matlab	matlab	PROPN
cuesj-730	76	74	r2018a	r2018a	PROPN
cuesj-730	76	75	(	(	PUNCT
cuesj-730	76	76	9.4.0.813654	9.4.0.813654	NUM
cuesj-730	76	77	)	)	PUNCT
cuesj-730	76	78	.	.	PUNCT
cuesj-730	77	1	on	on	ADP
cuesj-730	77	2	kasnazan	kasnazan	PROPN
cuesj-730	77	3	road	road	NOUN
cuesj-730	77	4	,	,	PUNCT
cuesj-730	77	5	different	different	ADJ
cuesj-730	77	6	routes	route	NOUN
cuesj-730	77	7	relate	relate	VERB
cuesj-730	77	8	to	to	ADP
cuesj-730	77	9	multiple	multiple	ADJ
cuesj-730	77	10	destination	destination	NOUN
cuesj-730	77	11	of	of	ADP
cuesj-730	77	12	cities	city	NOUN
cuesj-730	77	13	are	be	AUX
cuesj-730	77	14	implemented	implement	VERB
cuesj-730	77	15	,	,	PUNCT
cuesj-730	77	16	where	where	SCONJ
cuesj-730	77	17	the	the	DET
cuesj-730	77	18	cities	city	NOUN
cuesj-730	77	19	are	be	AUX
cuesj-730	77	20	:	:	PUNCT
cuesj-730	77	21	hawleri	hawleri	VERB
cuesj-730	77	22	new	new	ADJ
cuesj-730	77	23	,	,	PUNCT
cuesj-730	77	24	shariy	shariy	NOUN
cuesj-730	77	25	andazyaran	andazyaran	NOUN
cuesj-730	77	26	,	,	PUNCT
cuesj-730	77	27	hewa	hewa	NOUN
cuesj-730	77	28	city	city	NOUN
cuesj-730	77	29	and	and	CCONJ
cuesj-730	77	30	havalan	havalan	NOUN
cuesj-730	77	31	,	,	PUNCT
cuesj-730	77	32	when	when	SCONJ
cuesj-730	77	33	family	family	NOUN
cuesj-730	77	34	mall	mall	NOUN
cuesj-730	77	35	will	will	AUX
cuesj-730	77	36	be	be	AUX
cuesj-730	77	37	considered	consider	VERB
cuesj-730	77	38	as	as	ADP
cuesj-730	77	39	the	the	DET
cuesj-730	77	40	source	source	NOUN
cuesj-730	77	41	location	location	NOUN
cuesj-730	77	42	.	.	PUNCT
cuesj-730	78	1	the	the	DET
cuesj-730	78	2	information	information	NOUN
cuesj-730	78	3	relate	relate	VERB
cuesj-730	78	4	to	to	ADP
cuesj-730	78	5	the	the	DET
cuesj-730	78	6	total	total	ADJ
cuesj-730	78	7	distance	distance	NOUN
cuesj-730	78	8	in	in	ADP
cuesj-730	78	9	km	km	NOUN
cuesj-730	78	10	form	form	NOUN
cuesj-730	78	11	source	source	NOUN
cuesj-730	78	12	to	to	ADP
cuesj-730	78	13	multiple	multiple	ADJ
cuesj-730	78	14	destination	destination	NOUN
cuesj-730	78	15	is	be	AUX
cuesj-730	78	16	taken	take	VERB
cuesj-730	78	17	form	form	NOUN
cuesj-730	78	18	google	google	NOUN
cuesj-730	78	19	map	map	NOUN
cuesj-730	78	20	application	application	NOUN
cuesj-730	78	21	of	of	ADP
cuesj-730	78	22	erbil	erbil	PROPN
cuesj-730	78	23	city	city	PROPN
cuesj-730	78	24	.	.	PUNCT
cuesj-730	79	1	figures	figure	VERB
cuesj-730	79	2	5–7	5–7	NUM
cuesj-730	79	3	shows	show	VERB
cuesj-730	79	4	the	the	DET
cuesj-730	79	5	route	route	NOUN
cuesj-730	79	6	for	for	ADP
cuesj-730	79	7	path	path	NOUN
cuesj-730	79	8	1	1	NUM
cuesj-730	79	9	,	,	PUNCT
cuesj-730	79	10	path	path	NOUN
cuesj-730	79	11	2	2	NUM
cuesj-730	79	12	,	,	PUNCT
cuesj-730	79	13	and	and	CCONJ
cuesj-730	79	14	path	path	NOUN
cuesj-730	79	15	3	3	NUM
cuesj-730	79	16	as	as	ADP
cuesj-730	79	17	an	an	DET
cuesj-730	79	18	example	example	NOUN
cuesj-730	79	19	using	use	VERB
cuesj-730	79	20	multiple	multiple	ADJ
cuesj-730	79	21	destination	destination	NOUN
cuesj-730	79	22	,	,	PUNCT
cuesj-730	79	23	respectively	respectively	ADV
cuesj-730	79	24	.	.	PUNCT
cuesj-730	80	1	as	as	SCONJ
cuesj-730	80	2	shown	show	VERB
cuesj-730	80	3	in	in	ADP
cuesj-730	80	4	table	table	NOUN
cuesj-730	80	5	2	2	NUM
cuesj-730	80	6	,	,	PUNCT
cuesj-730	80	7	google	google	NOUN
cuesj-730	80	8	map	map	NOUN
cuesj-730	80	9	application	application	NOUN
cuesj-730	80	10	will	will	AUX
cuesj-730	80	11	find	find	VERB
cuesj-730	80	12	different	different	ADJ
cuesj-730	80	13	total	total	ADJ
cuesj-730	80	14	distance	distance	NOUN
cuesj-730	80	15	depending	depend	VERB
cuesj-730	80	16	on	on	ADP
cuesj-730	80	17	the	the	DET
cuesj-730	80	18	sequence	sequence	NOUN
cuesj-730	80	19	of	of	ADP
cuesj-730	80	20	the	the	DET
cuesj-730	80	21	input	input	NOUN
cuesj-730	80	22	destination	destination	NOUN
cuesj-730	80	23	from	from	ADP
cuesj-730	80	24	the	the	DET
cuesj-730	80	25	user	user	NOUN
cuesj-730	80	26	and	and	CCONJ
cuesj-730	80	27	will	will	AUX
cuesj-730	80	28	not	not	PART
cuesj-730	80	29	give	give	VERB
cuesj-730	80	30	or	or	CCONJ
cuesj-730	80	31	suggest	suggest	VERB
cuesj-730	80	32	the	the	DET
cuesj-730	80	33	shortest	short	ADJ
cuesj-730	80	34	path	path	NOUN
cuesj-730	80	35	to	to	PART
cuesj-730	80	36	visit	visit	VERB
cuesj-730	80	37	all	all	DET
cuesj-730	80	38	destinations	destination	NOUN
cuesj-730	80	39	.	.	PUNCT
cuesj-730	81	1	figure	figure	NOUN
cuesj-730	81	2	8	8	NUM
cuesj-730	81	3	shows	show	VERB
cuesj-730	81	4	the	the	DET
cuesj-730	81	5	route	route	NOUN
cuesj-730	81	6	plan	plan	NOUN
cuesj-730	81	7	when	when	SCONJ
cuesj-730	81	8	new	new	ADJ
cuesj-730	81	9	destination	destination	NOUN
cuesj-730	81	10	is	be	AUX
cuesj-730	81	11	added	add	VERB
cuesj-730	81	12	to	to	ADP
cuesj-730	81	13	the	the	DET
cuesj-730	81	14	multiple	multiple	ADJ
cuesj-730	81	15	destination	destination	NOUN
cuesj-730	81	16	.	.	PUNCT
cuesj-730	82	1	using	use	VERB
cuesj-730	82	2	aco	aco	PROPN
cuesj-730	82	3	algorithm	algorithm	NOUN
cuesj-730	82	4	for	for	ADP
cuesj-730	82	5	multiple	multiple	ADJ
cuesj-730	82	6	destination	destination	NOUN
cuesj-730	82	7	route	route	NOUN
cuesj-730	82	8	planning	planning	NOUN
cuesj-730	82	9	,	,	PUNCT
cuesj-730	82	10	the	the	DET
cuesj-730	82	11	cities	city	NOUN
cuesj-730	82	12	information	information	NOUN
cuesj-730	82	13	relate	relate	VERB
cuesj-730	82	14	to	to	ADP
cuesj-730	82	15	location	location	NOUN
cuesj-730	82	16	and	and	CCONJ
cuesj-730	82	17	distance	distance	NOUN
cuesj-730	82	18	in	in	ADP
cuesj-730	82	19	km	km	NOUN
cuesj-730	82	20	are	be	AUX
cuesj-730	82	21	input	input	NOUN
cuesj-730	82	22	to	to	ADP
cuesj-730	82	23	matlab	matlab	PROPN
cuesj-730	82	24	as	as	ADP
cuesj-730	82	25	a	a	DET
cuesj-730	82	26	simulation	simulation	NOUN
cuesj-730	82	27	coordinate	coordinate	NOUN
cuesj-730	82	28	(	(	PUNCT
cuesj-730	82	29	x	x	X
cuesj-730	82	30	,	,	PUNCT
cuesj-730	82	31	y	y	PROPN
cuesj-730	82	32	)	)	PUNCT
cuesj-730	82	33	.	.	PUNCT
cuesj-730	83	1	figure	figure	NOUN
cuesj-730	83	2	9	9	NUM
cuesj-730	83	3	shows	show	VERB
cuesj-730	83	4	the	the	DET
cuesj-730	83	5	coordinates	coordinate	NOUN
cuesj-730	83	6	of	of	ADP
cuesj-730	83	7	the	the	DET
cuesj-730	83	8	cities	city	NOUN
cuesj-730	83	9	in	in	ADP
cuesj-730	83	10	figures	figure	NOUN
cuesj-730	83	11	5–7	5–7	NUM
cuesj-730	83	12	and	and	CCONJ
cuesj-730	83	13	10	10	NUM
cuesj-730	83	14	,	,	PUNCT
cuesj-730	83	15	which	which	PRON
cuesj-730	83	16	shows	show	VERB
cuesj-730	83	17	the	the	DET
cuesj-730	83	18	coordinates	coordinate	NOUN
cuesj-730	83	19	of	of	ADP
cuesj-730	83	20	figure	figure	NOUN
cuesj-730	83	21	10	10	NUM
cuesj-730	83	22	:	:	PUNCT
cuesj-730	83	23	city	city	NOUN
cuesj-730	83	24	coordinates	coordinate	NOUN
cuesj-730	83	25	of	of	ADP
cuesj-730	83	26	source	source	NOUN
cuesj-730	83	27	and	and	CCONJ
cuesj-730	83	28	multiple	multiple	ADJ
cuesj-730	83	29	destination	destination	NOUN
cuesj-730	83	30	when	when	SCONJ
cuesj-730	83	31	new	new	ADJ
cuesj-730	83	32	destination	destination	NOUN
cuesj-730	83	33	is	be	AUX
cuesj-730	83	34	added	add	VERB
cuesj-730	83	35	figure	figure	NOUN
cuesj-730	83	36	12	12	NUM
cuesj-730	83	37	:	:	PUNCT
cuesj-730	83	38	path	path	NOUN
cuesj-730	83	39	6	6	NUM
cuesj-730	83	40	route	route	NOUN
cuesj-730	83	41	from	from	ADP
cuesj-730	83	42	google	google	PROPN
cuesj-730	83	43	map	map	NOUN
cuesj-730	83	44	figure	figure	NOUN
cuesj-730	83	45	14	14	NUM
cuesj-730	83	46	:	:	PUNCT
cuesj-730	83	47	city	city	NOUN
cuesj-730	83	48	coordinates	coordinate	NOUN
cuesj-730	83	49	of	of	ADP
cuesj-730	83	50	source	source	NOUN
cuesj-730	83	51	and	and	CCONJ
cuesj-730	83	52	multiple	multiple	ADJ
cuesj-730	83	53	destination	destination	NOUN
cuesj-730	83	54	figure	figure	NOUN
cuesj-730	83	55	13	13	NUM
cuesj-730	83	56	:	:	PUNCT
cuesj-730	83	57	path	path	NOUN
cuesj-730	83	58	7	7	NUM
cuesj-730	83	59	route	route	NOUN
cuesj-730	83	60	from	from	ADP
cuesj-730	83	61	google	google	PROPN
cuesj-730	83	62	map	map	NOUN
cuesj-730	83	63	figure	figure	NOUN
cuesj-730	83	64	8	8	NUM
cuesj-730	83	65	:	:	PUNCT
cuesj-730	83	66	route	route	NOUN
cuesj-730	83	67	update	update	NOUN
cuesj-730	83	68	when	when	SCONJ
cuesj-730	83	69	new	new	ADJ
cuesj-730	83	70	destination	destination	NOUN
cuesj-730	83	71	is	be	AUX
cuesj-730	83	72	added	add	VERB
cuesj-730	83	73	from	from	ADP
cuesj-730	83	74	google	google	PROPN
cuesj-730	83	75	map	map	NOUN
cuesj-730	83	76	figure	figure	NOUN
cuesj-730	83	77	11	11	NUM
cuesj-730	83	78	:	:	PUNCT
cuesj-730	83	79	path	path	NOUN
cuesj-730	83	80	5	5	NUM
cuesj-730	83	81	route	route	NOUN
cuesj-730	83	82	from	from	ADP
cuesj-730	83	83	google	google	PROPN
cuesj-730	83	84	map	map	NOUN
cuesj-730	83	85	figure	figure	NOUN
cuesj-730	83	86	9	9	NUM
cuesj-730	83	87	:	:	PUNCT
cuesj-730	83	88	city	city	NOUN
cuesj-730	83	89	coordinates	coordinate	NOUN
cuesj-730	83	90	of	of	ADP
cuesj-730	83	91	source	source	NOUN
cuesj-730	83	92	and	and	CCONJ
cuesj-730	83	93	multiple	multiple	ADJ
cuesj-730	83	94	destination	destination	NOUN
cuesj-730	83	95	ismail	ismail	NOUN
cuesj-730	83	96	,	,	PUNCT
cuesj-730	83	97	et	et	PROPN
cuesj-730	83	98	al	al	PROPN
cuesj-730	83	99	.	.	PROPN
cuesj-730	83	100	:	:	PUNCT
cuesj-730	84	1	artificial	artificial	ADJ
cuesj-730	84	2	multiple	multiple	ADJ
cuesj-730	84	3	destination	destination	NOUN
cuesj-730	84	4	discovery	discovery	NOUN
cuesj-730	84	5	:	:	PUNCT
cuesj-730	84	6	google	google	PROPN
cuesj-730	84	7	map	map	NOUN
cuesj-730	84	8	case	case	NOUN
cuesj-730	84	9	study	study	VERB
cuesj-730	84	10	45	45	NUM
cuesj-730	84	11	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-730	84	12	cuesj	cuesj	ADJ
cuesj-730	84	13	2022	2022	NUM
cuesj-730	84	14	,	,	PUNCT
cuesj-730	84	15	6	6	NUM
cuesj-730	84	16	(	(	PUNCT
cuesj-730	84	17	2	2	NUM
cuesj-730	84	18	):	):	PUNCT
cuesj-730	84	19	41	41	NUM
cuesj-730	84	20	-	-	SYM
cuesj-730	84	21	48	48	NUM
cuesj-730	84	22	the	the	DET
cuesj-730	84	23	cities	city	NOUN
cuesj-730	84	24	in	in	ADP
cuesj-730	84	25	figure	figure	NOUN
cuesj-730	84	26	8	8	NUM
cuesj-730	84	27	when	when	SCONJ
cuesj-730	84	28	new	new	ADJ
cuesj-730	84	29	destination	destination	NOUN
cuesj-730	84	30	is	be	AUX
cuesj-730	84	31	added	add	VERB
cuesj-730	84	32	.	.	PUNCT
cuesj-730	85	1	note	note	VERB
cuesj-730	85	2	for	for	ADP
cuesj-730	85	3	example	example	NOUN
cuesj-730	85	4	,	,	PUNCT
cuesj-730	85	5	that	that	SCONJ
cuesj-730	85	6	the	the	DET
cuesj-730	85	7	source	source	NOUN
cuesj-730	85	8	node	node	NOUN
cuesj-730	85	9	of	of	ADP
cuesj-730	85	10	family	family	NOUN
cuesj-730	85	11	mall	mall	NOUN
cuesj-730	85	12	is	be	AUX
cuesj-730	85	13	located	locate	VERB
cuesj-730	85	14	at	at	ADP
cuesj-730	85	15	coordinate	coordinate	NOUN
cuesj-730	85	16	(	(	PUNCT
cuesj-730	85	17	2	2	NUM
cuesj-730	85	18	,	,	PUNCT
cuesj-730	85	19	4	4	NUM
cuesj-730	85	20	)	)	PUNCT
cuesj-730	85	21	and	and	CCONJ
cuesj-730	85	22	the	the	DET
cuesj-730	85	23	new	new	ADJ
cuesj-730	85	24	destination	destination	NOUN
cuesj-730	85	25	is	be	AUX
cuesj-730	85	26	located	locate	VERB
cuesj-730	85	27	at	at	ADP
cuesj-730	85	28	coordinate	coordinate	NOUN
cuesj-730	85	29	(	(	PUNCT
cuesj-730	85	30	16	16	NUM
cuesj-730	85	31	,	,	PUNCT
cuesj-730	85	32	0	0	NUM
cuesj-730	85	33	)	)	PUNCT
cuesj-730	85	34	.	.	PUNCT
cuesj-730	86	1	on	on	ADP
cuesj-730	86	2	masif	masif	NOUN
cuesj-730	86	3	road	road	NOUN
cuesj-730	86	4	,	,	PUNCT
cuesj-730	86	5	different	different	ADJ
cuesj-730	86	6	routes	route	NOUN
cuesj-730	86	7	relate	relate	VERB
cuesj-730	86	8	to	to	ADP
cuesj-730	86	9	multiple	multiple	ADJ
cuesj-730	86	10	destination	destination	NOUN
cuesj-730	86	11	of	of	ADP
cuesj-730	86	12	cities	city	NOUN
cuesj-730	86	13	are	be	AUX
cuesj-730	86	14	implemented	implement	VERB
cuesj-730	86	15	,	,	PUNCT
cuesj-730	86	16	where	where	SCONJ
cuesj-730	86	17	the	the	DET
cuesj-730	86	18	cities	city	NOUN
cuesj-730	86	19	are	be	AUX
cuesj-730	86	20	:	:	PUNCT
cuesj-730	86	21	italian	italian	ADJ
cuesj-730	86	22	city	city	NOUN
cuesj-730	86	23	2	2	NUM
cuesj-730	86	24	,	,	PUNCT
cuesj-730	86	25	shaways	shaway	NOUN
cuesj-730	86	26	and	and	CCONJ
cuesj-730	86	27	zin	zin	NOUN
cuesj-730	86	28	city	city	NOUN
cuesj-730	86	29	when	when	SCONJ
cuesj-730	86	30	family	family	NOUN
cuesj-730	86	31	mall	mall	NOUN
cuesj-730	86	32	will	will	AUX
cuesj-730	86	33	be	be	AUX
cuesj-730	86	34	considered	consider	VERB
cuesj-730	86	35	as	as	ADP
cuesj-730	86	36	the	the	DET
cuesj-730	86	37	source	source	NOUN
cuesj-730	86	38	location	location	NOUN
cuesj-730	86	39	.	.	PUNCT
cuesj-730	87	1	the	the	DET
cuesj-730	87	2	information	information	NOUN
cuesj-730	87	3	relate	relate	VERB
cuesj-730	87	4	to	to	ADP
cuesj-730	87	5	the	the	DET
cuesj-730	87	6	total	total	ADJ
cuesj-730	87	7	distance	distance	NOUN
cuesj-730	87	8	in	in	ADP
cuesj-730	87	9	km	km	NOUN
cuesj-730	87	10	form	form	NOUN
cuesj-730	87	11	source	source	NOUN
cuesj-730	87	12	to	to	ADP
cuesj-730	87	13	multiple	multiple	ADJ
cuesj-730	87	14	destination	destination	NOUN
cuesj-730	87	15	is	be	AUX
cuesj-730	87	16	taken	take	VERB
cuesj-730	87	17	form	form	NOUN
cuesj-730	87	18	google	google	NOUN
cuesj-730	87	19	map	map	NOUN
cuesj-730	87	20	application	application	NOUN
cuesj-730	87	21	of	of	ADP
cuesj-730	87	22	erbil	erbil	PROPN
cuesj-730	87	23	city	city	PROPN
cuesj-730	87	24	.	.	PUNCT
cuesj-730	88	1	figures	figure	NOUN
cuesj-730	88	2	11–13	11–13	NUM
cuesj-730	88	3	shows	show	VERB
cuesj-730	88	4	the	the	DET
cuesj-730	88	5	route	route	NOUN
cuesj-730	88	6	for	for	ADP
cuesj-730	88	7	path	path	NOUN
cuesj-730	88	8	5	5	NUM
cuesj-730	88	9	,	,	PUNCT
cuesj-730	88	10	path	path	NOUN
cuesj-730	88	11	6	6	NUM
cuesj-730	88	12	,	,	PUNCT
cuesj-730	88	13	and	and	CCONJ
cuesj-730	88	14	path	path	NOUN
cuesj-730	88	15	7	7	NUM
cuesj-730	88	16	as	as	ADP
cuesj-730	88	17	an	an	DET
cuesj-730	88	18	example	example	NOUN
cuesj-730	88	19	using	use	VERB
cuesj-730	88	20	multiple	multiple	ADJ
cuesj-730	88	21	destination	destination	NOUN
cuesj-730	88	22	,	,	PUNCT
cuesj-730	88	23	respectively	respectively	ADV
cuesj-730	88	24	.	.	PUNCT
cuesj-730	89	1	as	as	SCONJ
cuesj-730	89	2	shown	show	VERB
cuesj-730	89	3	in	in	ADP
cuesj-730	89	4	table	table	NOUN
cuesj-730	89	5	3	3	NUM
cuesj-730	89	6	,	,	PUNCT
cuesj-730	89	7	google	google	PROPN
cuesj-730	89	8	map	map	NOUN
cuesj-730	89	9	application	application	NOUN
cuesj-730	89	10	will	will	AUX
cuesj-730	89	11	find	find	VERB
cuesj-730	89	12	different	different	ADJ
cuesj-730	89	13	total	total	ADJ
cuesj-730	89	14	distance	distance	NOUN
cuesj-730	89	15	depending	depend	VERB
cuesj-730	89	16	on	on	ADP
cuesj-730	89	17	the	the	DET
cuesj-730	89	18	sequence	sequence	NOUN
cuesj-730	89	19	of	of	ADP
cuesj-730	89	20	the	the	DET
cuesj-730	89	21	input	input	NOUN
cuesj-730	89	22	destination	destination	NOUN
cuesj-730	89	23	from	from	ADP
cuesj-730	89	24	the	the	DET
cuesj-730	89	25	user	user	NOUN
cuesj-730	89	26	and	and	CCONJ
cuesj-730	89	27	will	will	AUX
cuesj-730	89	28	not	not	PART
cuesj-730	89	29	give	give	VERB
cuesj-730	89	30	or	or	CCONJ
cuesj-730	89	31	suggest	suggest	VERB
cuesj-730	89	32	the	the	DET
cuesj-730	89	33	shortest	short	ADJ
cuesj-730	89	34	path	path	NOUN
cuesj-730	89	35	to	to	PART
cuesj-730	89	36	visit	visit	VERB
cuesj-730	89	37	all	all	DET
cuesj-730	89	38	destinations	destination	NOUN
cuesj-730	89	39	.	.	PUNCT
cuesj-730	90	1	figure	figure	NOUN
cuesj-730	90	2	14	14	NUM
cuesj-730	90	3	shows	show	VERB
cuesj-730	90	4	the	the	DET
cuesj-730	90	5	coordinates	coordinate	NOUN
cuesj-730	90	6	of	of	ADP
cuesj-730	90	7	the	the	DET
cuesj-730	90	8	cities	city	NOUN
cuesj-730	90	9	in	in	ADP
cuesj-730	90	10	figures	figure	NOUN
cuesj-730	90	11	11–13	11–13	NUM
cuesj-730	90	12	.	.	PUNCT
cuesj-730	91	1	results	result	NOUN
cuesj-730	91	2	and	and	CCONJ
cuesj-730	91	3	evaluation	evaluation	NOUN
cuesj-730	91	4	aco	aco	PROPN
cuesj-730	91	5	algorithm	algorithm	PROPN
cuesj-730	91	6	for	for	ADP
cuesj-730	91	7	multiple	multiple	ADJ
cuesj-730	91	8	destination	destination	NOUN
cuesj-730	91	9	route	route	NOUN
cuesj-730	91	10	planning	planning	NOUN
cuesj-730	91	11	results	result	NOUN
cuesj-730	91	12	are	be	AUX
cuesj-730	91	13	shown	show	VERB
cuesj-730	91	14	in	in	ADP
cuesj-730	91	15	figures	figure	NOUN
cuesj-730	91	16	15	15	NUM
cuesj-730	91	17	and	and	CCONJ
cuesj-730	91	18	16	16	NUM
cuesj-730	91	19	.	.	PUNCT
cuesj-730	92	1	figure	figure	NOUN
cuesj-730	92	2	15	15	NUM
cuesj-730	92	3	shows	show	VERB
cuesj-730	92	4	the	the	DET
cuesj-730	92	5	minimum	minimum	ADJ
cuesj-730	92	6	path	path	NOUN
cuesj-730	92	7	for	for	ADP
cuesj-730	92	8	five	five	NUM
cuesj-730	92	9	cities	city	NOUN
cuesj-730	92	10	of	of	ADP
cuesj-730	92	11	figure	figure	NOUN
cuesj-730	92	12	9	9	NUM
cuesj-730	92	13	of	of	ADP
cuesj-730	92	14	minimum	minimum	ADJ
cuesj-730	92	15	total	total	ADJ
cuesj-730	92	16	length	length	NOUN
cuesj-730	92	17	of	of	ADP
cuesj-730	92	18	26	26	NUM
cuesj-730	92	19	km	km	NOUN
cuesj-730	92	20	.	.	PUNCT
cuesj-730	93	1	figure	figure	NOUN
cuesj-730	93	2	16	16	NUM
cuesj-730	93	3	shows	show	VERB
cuesj-730	93	4	the	the	DET
cuesj-730	93	5	minimum	minimum	ADJ
cuesj-730	93	6	path	path	NOUN
cuesj-730	93	7	for	for	ADP
cuesj-730	93	8	six	six	NUM
cuesj-730	93	9	cities	city	NOUN
cuesj-730	93	10	of	of	ADP
cuesj-730	93	11	figure	figure	NOUN
cuesj-730	93	12	10	10	NUM
cuesj-730	93	13	of	of	ADP
cuesj-730	93	14	minimum	minimum	ADJ
cuesj-730	93	15	total	total	ADJ
cuesj-730	93	16	length	length	NOUN
cuesj-730	93	17	of	of	ADP
cuesj-730	93	18	30	30	NUM
cuesj-730	93	19	km	km	NOUN
cuesj-730	93	20	.	.	PUNCT
cuesj-730	93	21	table	table	NOUN
cuesj-730	93	22	2	2	NUM
cuesj-730	93	23	:	:	PUNCT
cuesj-730	93	24	compares	compare	VERB
cuesj-730	93	25	different	different	ADJ
cuesj-730	93	26	route	route	NOUN
cuesj-730	93	27	for	for	ADP
cuesj-730	93	28	multiple	multiple	ADJ
cuesj-730	93	29	destination	destination	NOUN
cuesj-730	93	30	of	of	ADP
cuesj-730	93	31	cities	city	NOUN
cuesj-730	93	32	in	in	ADP
cuesj-730	93	33	erbil	erbil	PROPN
cuesj-730	93	34	using	use	VERB
cuesj-730	93	35	google	google	PROPN
cuesj-730	93	36	map	map	NOUN
cuesj-730	93	37	route	route	NOUN
cuesj-730	93	38	multiple	multiple	ADJ
cuesj-730	93	39	destination	destination	NOUN
cuesj-730	93	40	route	route	NOUN
cuesj-730	93	41	total	total	ADJ
cuesj-730	93	42	distance	distance	NOUN
cuesj-730	93	43	(	(	PUNCT
cuesj-730	93	44	km	km	NOUN
cuesj-730	93	45	)	)	PUNCT
cuesj-730	93	46	google	google	PROPN
cuesj-730	93	47	map	map	NOUN
cuesj-730	93	48	path	path	NOUN
cuesj-730	93	49	1	1	NUM
cuesj-730	93	50	havalan	havalan	NOUN
cuesj-730	93	51	,	,	PUNCT
cuesj-730	93	52	hawleri	hawleri	VERB
cuesj-730	93	53	new	new	ADJ
cuesj-730	93	54	,	,	PUNCT
cuesj-730	93	55	shariy	shariy	NOUN
cuesj-730	93	56	andazyaran	andazyaran	NOUN
cuesj-730	93	57	,	,	PUNCT
cuesj-730	93	58	hewa	hewa	VERB
cuesj-730	93	59	city	city	NOUN
cuesj-730	93	60	31.9	31.9	NUM
cuesj-730	93	61	google	google	NOUN
cuesj-730	93	62	map	map	NOUN
cuesj-730	93	63	path	path	NOUN
cuesj-730	93	64	2	2	NUM
cuesj-730	93	65	shariy	shariy	NOUN
cuesj-730	93	66	andazyaran	andazyaran	NOUN
cuesj-730	93	67	,	,	PUNCT
cuesj-730	93	68	hawleri	hawleri	VERB
cuesj-730	93	69	new	new	ADJ
cuesj-730	93	70	,	,	PUNCT
cuesj-730	93	71	hewa	hewa	PROPN
cuesj-730	93	72	city	city	NOUN
cuesj-730	93	73	,	,	PUNCT
cuesj-730	93	74	havalan	havalan	NOUN
cuesj-730	93	75	29.6	29.6	NUM
cuesj-730	93	76	google	google	PROPN
cuesj-730	93	77	map	map	NOUN
cuesj-730	93	78	path	path	NOUN
cuesj-730	93	79	3	3	NUM
cuesj-730	93	80	hawleri	hawleri	VERB
cuesj-730	93	81	new	new	ADJ
cuesj-730	93	82	,	,	PUNCT
cuesj-730	93	83	shariy	shariy	NOUN
cuesj-730	93	84	andazyaran	andazyaran	NOUN
cuesj-730	93	85	,	,	PUNCT
cuesj-730	93	86	hewa	hewa	NOUN
cuesj-730	93	87	city	city	NOUN
cuesj-730	93	88	,	,	PUNCT
cuesj-730	93	89	havalan	havalan	NOUN
cuesj-730	93	90	27.4	27.4	NUM
cuesj-730	93	91	figure	figure	NOUN
cuesj-730	93	92	15	15	NUM
cuesj-730	93	93	:	:	PUNCT
cuesj-730	93	94	aco	aco	PROPN
cuesj-730	93	95	algorithm	algorithm	PROPN
cuesj-730	93	96	for	for	ADP
cuesj-730	93	97	multiple	multiple	ADJ
cuesj-730	93	98	destination	destination	NOUN
cuesj-730	93	99	route	route	NOUN
cuesj-730	93	100	planning	planning	NOUN
cuesj-730	93	101	for	for	ADP
cuesj-730	93	102	five	five	NUM
cuesj-730	93	103	cities	city	NOUN
cuesj-730	93	104	figure	figure	VERB
cuesj-730	93	105	16	16	NUM
cuesj-730	93	106	:	:	PUNCT
cuesj-730	93	107	aco	aco	PROPN
cuesj-730	93	108	algorithm	algorithm	PROPN
cuesj-730	93	109	for	for	ADP
cuesj-730	93	110	multiple	multiple	ADJ
cuesj-730	93	111	destination	destination	NOUN
cuesj-730	93	112	route	route	NOUN
cuesj-730	93	113	planning	planning	NOUN
cuesj-730	93	114	for	for	ADP
cuesj-730	93	115	six	six	NUM
cuesj-730	93	116	cities	city	NOUN
cuesj-730	93	117	figure	figure	VERB
cuesj-730	93	118	17	17	NUM
cuesj-730	93	119	:	:	PUNCT
cuesj-730	93	120	different	different	ADJ
cuesj-730	93	121	routes	route	NOUN
cuesj-730	93	122	cost	cost	VERB
cuesj-730	93	123	for	for	ADP
cuesj-730	93	124	ten	ten	NUM
cuesj-730	93	125	artificial	artificial	ADJ
cuesj-730	93	126	ants	ant	NOUN
cuesj-730	93	127	for	for	ADP
cuesj-730	93	128	five	five	NUM
cuesj-730	93	129	cities	city	NOUN
cuesj-730	93	130	ismail	ismail	NOUN
cuesj-730	93	131	,	,	PUNCT
cuesj-730	93	132	et	et	PROPN
cuesj-730	93	133	al	al	PROPN
cuesj-730	93	134	.	.	PROPN
cuesj-730	93	135	:	:	PUNCT
cuesj-730	94	1	artificial	artificial	ADJ
cuesj-730	94	2	multiple	multiple	ADJ
cuesj-730	94	3	destination	destination	NOUN
cuesj-730	94	4	discovery	discovery	NOUN
cuesj-730	94	5	:	:	PUNCT
cuesj-730	94	6	google	google	PROPN
cuesj-730	94	7	map	map	NOUN
cuesj-730	94	8	case	case	NOUN
cuesj-730	94	9	study	study	VERB
cuesj-730	94	10	46	46	NUM
cuesj-730	94	11	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-730	94	12	cuesj	cuesj	ADJ
cuesj-730	94	13	2022	2022	NUM
cuesj-730	94	14	,	,	PUNCT
cuesj-730	94	15	6	6	NUM
cuesj-730	94	16	(	(	PUNCT
cuesj-730	94	17	2	2	NUM
cuesj-730	94	18	):	):	PUNCT
cuesj-730	94	19	41	41	NUM
cuesj-730	94	20	-	-	SYM
cuesj-730	94	21	48	48	NUM
cuesj-730	94	22	aco	aco	PROPN
cuesj-730	94	23	algorithm	algorithm	NOUN
cuesj-730	94	24	for	for	ADP
cuesj-730	94	25	multiple	multiple	ADJ
cuesj-730	94	26	destination	destination	NOUN
cuesj-730	94	27	route	route	NOUN
cuesj-730	94	28	planning	planning	NOUN
cuesj-730	94	29	is	be	AUX
cuesj-730	94	30	evaluation	evaluation	NOUN
cuesj-730	94	31	and	and	CCONJ
cuesj-730	94	32	compared	compare	VERB
cuesj-730	94	33	with	with	ADP
cuesj-730	94	34	google	google	PROPN
cuesj-730	94	35	map	map	NOUN
cuesj-730	94	36	route	route	NOUN
cuesj-730	94	37	with	with	ADP
cuesj-730	94	38	multiple	multiple	ADJ
cuesj-730	94	39	destination	destination	NOUN
cuesj-730	94	40	.	.	PUNCT
cuesj-730	95	1	table	table	NOUN
cuesj-730	95	2	4	4	NUM
cuesj-730	95	3	shows	show	VERB
cuesj-730	95	4	the	the	DET
cuesj-730	95	5	comparison	comparison	NOUN
cuesj-730	95	6	of	of	ADP
cuesj-730	95	7	aco	aco	PROPN
cuesj-730	95	8	algorithm	algorithm	PROPN
cuesj-730	95	9	according	accord	VERB
cuesj-730	95	10	to	to	ADP
cuesj-730	95	11	the	the	DET
cuesj-730	95	12	sequence	sequence	NOUN
cuesj-730	95	13	of	of	ADP
cuesj-730	95	14	visiting	visit	VERB
cuesj-730	95	15	multiple	multiple	ADJ
cuesj-730	95	16	destination	destination	NOUN
cuesj-730	95	17	relate	relate	VERB
cuesj-730	95	18	to	to	ADP
cuesj-730	95	19	the	the	DET
cuesj-730	95	20	five	five	NUM
cuesj-730	95	21	cities	city	NOUN
cuesj-730	95	22	that	that	PRON
cuesj-730	95	23	are	be	AUX
cuesj-730	95	24	located	locate	VERB
cuesj-730	95	25	at	at	ADP
cuesj-730	95	26	kasnazan	kasnazan	PROPN
cuesj-730	95	27	road	road	PROPN
cuesj-730	95	28	region	region	NOUN
cuesj-730	95	29	in	in	ADP
cuesj-730	95	30	erbil	erbil	PROPN
cuesj-730	95	31	,	,	PUNCT
cuesj-730	95	32	figures	figure	VERB
cuesj-730	95	33	5–7	5–7	NUM
cuesj-730	95	34	.	.	PUNCT
cuesj-730	96	1	as	as	SCONJ
cuesj-730	96	2	shown	show	VERB
cuesj-730	96	3	in	in	ADP
cuesj-730	96	4	table	table	NOUN
cuesj-730	96	5	4	4	NUM
cuesj-730	96	6	,	,	PUNCT
cuesj-730	96	7	aco	aco	PROPN
cuesj-730	96	8	algorithm	algorithm	PROPN
cuesj-730	96	9	for	for	ADP
cuesj-730	96	10	multiple	multiple	ADJ
cuesj-730	96	11	destination	destination	NOUN
cuesj-730	96	12	route	route	NOUN
cuesj-730	96	13	planning	planning	NOUN
cuesj-730	96	14	has	have	VERB
cuesj-730	96	15	total	total	ADJ
cuesj-730	96	16	length	length	NOUN
cuesj-730	96	17	of	of	ADP
cuesj-730	96	18	26	26	NUM
cuesj-730	96	19	km	km	NOUN
cuesj-730	96	20	which	which	PRON
cuesj-730	96	21	is	be	AUX
cuesj-730	96	22	the	the	DET
cuesj-730	96	23	minimum	minimum	ADJ
cuesj-730	96	24	distance	distance	NOUN
cuesj-730	96	25	compared	compare	VERB
cuesj-730	96	26	to	to	ADP
cuesj-730	96	27	others	other	NOUN
cuesj-730	96	28	also	also	ADV
cuesj-730	96	29	the	the	DET
cuesj-730	96	30	algorithm	algorithm	NOUN
cuesj-730	96	31	presents	present	VERB
cuesj-730	96	32	the	the	DET
cuesj-730	96	33	sequence	sequence	NOUN
cuesj-730	96	34	order	order	NOUN
cuesj-730	96	35	of	of	ADP
cuesj-730	96	36	the	the	DET
cuesj-730	96	37	visiting	visit	VERB
cuesj-730	96	38	cities	city	NOUN
cuesj-730	96	39	in	in	ADP
cuesj-730	96	40	the	the	DET
cuesj-730	96	41	route	route	NOUN
cuesj-730	96	42	of	of	ADP
cuesj-730	96	43	path	path	NOUN
cuesj-730	96	44	4	4	NUM
cuesj-730	96	45	.	.	PUNCT
cuesj-730	96	46	table	table	NOUN
cuesj-730	96	47	5	5	NUM
cuesj-730	96	48	shows	show	VERB
cuesj-730	96	49	the	the	DET
cuesj-730	96	50	error	error	NOUN
cuesj-730	96	51	percentage	percentage	NOUN
cuesj-730	96	52	of	of	ADP
cuesj-730	96	53	route	route	NOUN
cuesj-730	96	54	length	length	NOUN
cuesj-730	96	55	for	for	ADP
cuesj-730	96	56	google	google	PROPN
cuesj-730	96	57	map	map	NOUN
cuesj-730	96	58	application	application	NOUN
cuesj-730	96	59	results	result	NOUN
cuesj-730	96	60	compared	compare	VERB
cuesj-730	96	61	to	to	ADP
cuesj-730	96	62	aco	aco	PROPN
cuesj-730	96	63	algorithm	algorithm	PROPN
cuesj-730	96	64	for	for	ADP
cuesj-730	96	65	multiple	multiple	ADJ
cuesj-730	96	66	destination	destination	NOUN
cuesj-730	96	67	route	route	NOUN
cuesj-730	96	68	planning	planning	NOUN
cuesj-730	96	69	result	result	NOUN
cuesj-730	96	70	.	.	PUNCT
cuesj-730	97	1	figures	figure	NOUN
cuesj-730	97	2	17	17	NUM
cuesj-730	97	3	and	and	CCONJ
cuesj-730	97	4	18	18	NUM
cuesj-730	97	5	show	show	VERB
cuesj-730	97	6	the	the	DET
cuesj-730	97	7	output	output	NOUN
cuesj-730	97	8	results	result	NOUN
cuesj-730	97	9	for	for	ADP
cuesj-730	97	10	figures	figure	NOUN
cuesj-730	97	11	15	15	NUM
cuesj-730	97	12	and	and	CCONJ
cuesj-730	97	13	16	16	NUM
cuesj-730	97	14	,	,	PUNCT
cuesj-730	97	15	respectively	respectively	ADV
cuesj-730	97	16	,	,	PUNCT
cuesj-730	97	17	when	when	SCONJ
cuesj-730	97	18	all	all	DET
cuesj-730	97	19	routes	route	NOUN
cuesj-730	97	20	are	be	AUX
cuesj-730	97	21	generated	generate	VERB
cuesj-730	97	22	for	for	ADP
cuesj-730	97	23	the	the	DET
cuesj-730	97	24	artificial	artificial	ADJ
cuesj-730	97	25	ants	ant	NOUN
cuesj-730	97	26	in	in	ADP
cuesj-730	97	27	aco	aco	PROPN
cuesj-730	97	28	algorithm	algorithm	PROPN
cuesj-730	97	29	for	for	ADP
cuesj-730	97	30	multiple	multiple	ADJ
cuesj-730	97	31	destination	destination	NOUN
cuesj-730	97	32	route	route	NOUN
cuesj-730	97	33	planning	planning	NOUN
cuesj-730	97	34	.	.	PUNCT
cuesj-730	98	1	figure	figure	NOUN
cuesj-730	98	2	19	19	NUM
cuesj-730	98	3	shows	show	VERB
cuesj-730	98	4	the	the	DET
cuesj-730	98	5	minimum	minimum	ADJ
cuesj-730	98	6	path	path	NOUN
cuesj-730	98	7	for	for	ADP
cuesj-730	98	8	four	four	NUM
cuesj-730	98	9	cities	city	NOUN
cuesj-730	98	10	of	of	ADP
cuesj-730	98	11	figure	figure	NOUN
cuesj-730	98	12	14	14	NUM
cuesj-730	98	13	of	of	ADP
cuesj-730	98	14	minimum	minimum	ADJ
cuesj-730	98	15	total	total	ADJ
cuesj-730	98	16	length	length	NOUN
cuesj-730	98	17	of	of	ADP
cuesj-730	98	18	27.1	27.1	NUM
cuesj-730	98	19	km	km	NOUN
cuesj-730	98	20	.	.	PUNCT
cuesj-730	99	1	aco	aco	PROPN
cuesj-730	99	2	algorithm	algorithm	PROPN
cuesj-730	99	3	for	for	ADP
cuesj-730	99	4	multiple	multiple	ADJ
cuesj-730	99	5	destination	destination	NOUN
cuesj-730	99	6	route	route	NOUN
cuesj-730	99	7	planning	planning	NOUN
cuesj-730	99	8	is	be	AUX
cuesj-730	99	9	evaluation	evaluation	NOUN
cuesj-730	99	10	and	and	CCONJ
cuesj-730	99	11	compared	compare	VERB
cuesj-730	99	12	with	with	ADP
cuesj-730	99	13	google	google	PROPN
cuesj-730	99	14	map	map	NOUN
cuesj-730	99	15	route	route	NOUN
cuesj-730	99	16	with	with	ADP
cuesj-730	99	17	multiple	multiple	ADJ
cuesj-730	99	18	destination	destination	NOUN
cuesj-730	99	19	.	.	PUNCT
cuesj-730	100	1	table	table	NOUN
cuesj-730	100	2	6	6	NUM
cuesj-730	100	3	shows	show	VERB
cuesj-730	100	4	the	the	DET
cuesj-730	100	5	comparison	comparison	NOUN
cuesj-730	100	6	of	of	ADP
cuesj-730	100	7	aco	aco	PROPN
cuesj-730	100	8	algorithm	algorithm	PROPN
cuesj-730	100	9	according	accord	VERB
cuesj-730	100	10	to	to	ADP
cuesj-730	100	11	the	the	DET
cuesj-730	100	12	sequence	sequence	NOUN
cuesj-730	100	13	of	of	ADP
cuesj-730	100	14	visiting	visit	VERB
cuesj-730	100	15	multiple	multiple	ADJ
cuesj-730	100	16	destination	destination	NOUN
cuesj-730	100	17	relate	relate	VERB
cuesj-730	100	18	to	to	ADP
cuesj-730	100	19	the	the	DET
cuesj-730	100	20	four	four	NUM
cuesj-730	100	21	cities	city	NOUN
cuesj-730	100	22	that	that	PRON
cuesj-730	100	23	are	be	AUX
cuesj-730	100	24	located	locate	VERB
cuesj-730	100	25	at	at	ADP
cuesj-730	100	26	masif	masif	NOUN
cuesj-730	100	27	road	road	NOUN
cuesj-730	100	28	region	region	NOUN
cuesj-730	100	29	in	in	ADP
cuesj-730	100	30	erbil	erbil	PROPN
cuesj-730	100	31	,	,	PUNCT
cuesj-730	100	32	figures	figure	VERB
cuesj-730	100	33	11–13	11–13	NUM
cuesj-730	100	34	.	.	PUNCT
cuesj-730	101	1	as	as	SCONJ
cuesj-730	101	2	shown	show	VERB
cuesj-730	101	3	in	in	ADP
cuesj-730	101	4	table	table	NOUN
cuesj-730	101	5	6	6	NUM
cuesj-730	101	6	,	,	PUNCT
cuesj-730	101	7	aco	aco	PROPN
cuesj-730	101	8	algorithm	algorithm	PROPN
cuesj-730	101	9	for	for	ADP
cuesj-730	101	10	multiple	multiple	ADJ
cuesj-730	101	11	destination	destination	NOUN
cuesj-730	101	12	route	route	NOUN
cuesj-730	101	13	planning	planning	NOUN
cuesj-730	101	14	has	have	VERB
cuesj-730	101	15	total	total	ADJ
cuesj-730	101	16	length	length	NOUN
cuesj-730	101	17	of	of	ADP
cuesj-730	101	18	27.1	27.1	NUM
cuesj-730	101	19	km	km	NOUN
cuesj-730	101	20	which	which	PRON
cuesj-730	101	21	is	be	AUX
cuesj-730	101	22	the	the	DET
cuesj-730	101	23	minimum	minimum	ADJ
cuesj-730	101	24	distance	distance	NOUN
cuesj-730	101	25	compared	compare	VERB
cuesj-730	101	26	to	to	ADP
cuesj-730	101	27	others	other	NOUN
cuesj-730	101	28	also	also	ADV
cuesj-730	101	29	the	the	DET
cuesj-730	101	30	algorithm	algorithm	NOUN
cuesj-730	101	31	presents	present	VERB
cuesj-730	101	32	the	the	DET
cuesj-730	101	33	sequence	sequence	NOUN
cuesj-730	101	34	order	order	NOUN
cuesj-730	101	35	of	of	ADP
cuesj-730	101	36	the	the	DET
cuesj-730	101	37	visiting	visit	VERB
cuesj-730	101	38	cities	city	NOUN
cuesj-730	101	39	in	in	ADP
cuesj-730	101	40	the	the	DET
cuesj-730	101	41	route	route	NOUN
cuesj-730	101	42	of	of	ADP
cuesj-730	101	43	path	path	NOUN
cuesj-730	101	44	8	8	NUM
cuesj-730	101	45	.	.	PUNCT
cuesj-730	101	46	table	table	NOUN
cuesj-730	101	47	7	7	NUM
cuesj-730	101	48	shows	show	VERB
cuesj-730	101	49	the	the	DET
cuesj-730	101	50	error	error	NOUN
cuesj-730	101	51	percentage	percentage	NOUN
cuesj-730	101	52	of	of	ADP
cuesj-730	101	53	route	route	NOUN
cuesj-730	101	54	length	length	NOUN
cuesj-730	101	55	for	for	ADP
cuesj-730	101	56	google	google	PROPN
cuesj-730	101	57	map	map	NOUN
cuesj-730	101	58	application	application	NOUN
cuesj-730	101	59	results	result	NOUN
cuesj-730	101	60	compared	compare	VERB
cuesj-730	101	61	to	to	ADP
cuesj-730	101	62	aco	aco	PROPN
cuesj-730	101	63	algorithm	algorithm	PROPN
cuesj-730	101	64	for	for	ADP
cuesj-730	101	65	multiple	multiple	ADJ
cuesj-730	101	66	destination	destination	NOUN
cuesj-730	101	67	route	route	NOUN
cuesj-730	101	68	planning	planning	NOUN
cuesj-730	101	69	result	result	NOUN
cuesj-730	101	70	.	.	PUNCT
cuesj-730	102	1	figure	figure	NOUN
cuesj-730	102	2	20	20	NUM
cuesj-730	102	3	shows	show	VERB
cuesj-730	102	4	the	the	DET
cuesj-730	102	5	output	output	NOUN
cuesj-730	102	6	results	result	NOUN
cuesj-730	102	7	for	for	ADP
cuesj-730	102	8	figure	figure	NOUN
cuesj-730	102	9	19	19	NUM
cuesj-730	102	10	when	when	SCONJ
cuesj-730	102	11	all	all	DET
cuesj-730	102	12	routes	route	NOUN
cuesj-730	102	13	are	be	AUX
cuesj-730	102	14	generated	generate	VERB
cuesj-730	102	15	for	for	ADP
cuesj-730	102	16	the	the	DET
cuesj-730	102	17	artificial	artificial	ADJ
cuesj-730	102	18	ants	ant	NOUN
cuesj-730	102	19	in	in	ADP
cuesj-730	102	20	aco	aco	PROPN
cuesj-730	102	21	algorithm	algorithm	PROPN
cuesj-730	102	22	for	for	ADP
cuesj-730	102	23	multiple	multiple	ADJ
cuesj-730	102	24	destination	destination	NOUN
cuesj-730	102	25	route	route	NOUN
cuesj-730	102	26	planning	planning	NOUN
cuesj-730	102	27	.	.	PUNCT
cuesj-730	103	1	the	the	DET
cuesj-730	103	2	aco	aco	PROPN
cuesj-730	103	3	algorithm	algorithm	PROPN
cuesj-730	103	4	for	for	ADP
cuesj-730	103	5	multiple	multiple	ADJ
cuesj-730	103	6	destination	destination	NOUN
cuesj-730	103	7	gives	give	VERB
cuesj-730	103	8	optimal	optimal	ADJ
cuesj-730	103	9	path	path	NOUN
cuesj-730	103	10	when	when	SCONJ
cuesj-730	103	11	the	the	DET
cuesj-730	103	12	shortest	short	ADJ
cuesj-730	103	13	path	path	NOUN
cuesj-730	103	14	is	be	AUX
cuesj-730	103	15	found	find	VERB
cuesj-730	103	16	and	and	CCONJ
cuesj-730	103	17	the	the	DET
cuesj-730	103	18	sequence	sequence	NOUN
cuesj-730	103	19	order	order	NOUN
cuesj-730	103	20	of	of	ADP
cuesj-730	103	21	visiting	visit	VERB
cuesj-730	103	22	cities	city	NOUN
cuesj-730	103	23	is	be	AUX
cuesj-730	103	24	discovered	discover	VERB
cuesj-730	103	25	around	around	ADP
cuesj-730	103	26	the	the	DET
cuesj-730	103	27	city	city	NOUN
cuesj-730	103	28	returning	return	VERB
cuesj-730	103	29	back	back	ADV
cuesj-730	103	30	to	to	ADP
cuesj-730	103	31	the	the	DET
cuesj-730	103	32	source	source	NOUN
cuesj-730	103	33	location	location	NOUN
cuesj-730	103	34	.	.	PUNCT
cuesj-730	104	1	the	the	DET
cuesj-730	104	2	aco	aco	PROPN
cuesj-730	104	3	algorithm	algorithm	PROPN
cuesj-730	104	4	considers	consider	VERB
cuesj-730	104	5	one	one	NUM
cuesj-730	104	6	of	of	ADP
cuesj-730	104	7	the	the	DET
cuesj-730	104	8	important	important	ADJ
cuesj-730	104	9	factors	factor	NOUN
cuesj-730	104	10	when	when	SCONJ
cuesj-730	104	11	the	the	DET
cuesj-730	104	12	multiple	multiple	ADJ
cuesj-730	104	13	destinations	destination	NOUN
cuesj-730	104	14	are	be	AUX
cuesj-730	104	15	available	available	ADJ
cuesj-730	104	16	is	be	AUX
cuesj-730	104	17	that	that	SCONJ
cuesj-730	104	18	the	the	DET
cuesj-730	104	19	source	source	NOUN
cuesj-730	104	20	location	location	NOUN
cuesj-730	104	21	needs	need	VERB
cuesj-730	104	22	to	to	PART
cuesj-730	104	23	be	be	AUX
cuesj-730	104	24	reached	reach	VERB
cuesj-730	104	25	with	with	ADP
cuesj-730	104	26	minimum	minimum	ADJ
cuesj-730	104	27	route	route	NOUN
cuesj-730	104	28	from	from	ADP
cuesj-730	104	29	last	last	ADJ
cuesj-730	104	30	destination	destination	NOUN
cuesj-730	104	31	.	.	PUNCT
cuesj-730	105	1	retuning	retune	VERB
cuesj-730	105	2	back	back	ADV
cuesj-730	105	3	from	from	ADP
cuesj-730	105	4	last	last	ADJ
cuesj-730	105	5	destination	destination	NOUN
cuesj-730	105	6	to	to	PART
cuesj-730	105	7	source	source	NOUN
cuesj-730	105	8	location	location	NOUN
cuesj-730	105	9	is	be	AUX
cuesj-730	105	10	found	find	VERB
cuesj-730	105	11	with	with	ADP
cuesj-730	105	12	shortest	short	ADJ
cuesj-730	105	13	path	path	NOUN
cuesj-730	105	14	.	.	PUNCT
cuesj-730	106	1	for	for	ADP
cuesj-730	106	2	example	example	NOUN
cuesj-730	106	3	,	,	PUNCT
cuesj-730	106	4	in	in	ADP
cuesj-730	106	5	route	route	NOUN
cuesj-730	106	6	plan	plan	NOUN
cuesj-730	106	7	for	for	ADP
cuesj-730	106	8	path	path	NOUN
cuesj-730	106	9	4	4	NUM
cuesj-730	106	10	,	,	PUNCT
cuesj-730	106	11	when	when	SCONJ
cuesj-730	106	12	last	last	ADJ
cuesj-730	106	13	destination	destination	NOUN
cuesj-730	106	14	is	be	AUX
cuesj-730	106	15	havalan	havalan	NOUN
cuesj-730	106	16	and	and	CCONJ
cuesj-730	106	17	the	the	DET
cuesj-730	106	18	source	source	NOUN
cuesj-730	106	19	location	location	NOUN
cuesj-730	106	20	is	be	AUX
cuesj-730	106	21	family	family	NOUN
cuesj-730	106	22	mall	mall	NOUN
cuesj-730	106	23	the	the	DET
cuesj-730	106	24	shortest	short	ADJ
cuesj-730	106	25	route	route	NOUN
cuesj-730	106	26	that	that	PRON
cuesj-730	106	27	is	be	AUX
cuesj-730	106	28	considered	consider	VERB
cuesj-730	106	29	in	in	ADP
cuesj-730	106	30	the	the	DET
cuesj-730	106	31	total	total	ADJ
cuesj-730	106	32	route	route	NOUN
cuesj-730	106	33	plan	plan	NOUN
cuesj-730	106	34	.	.	PUNCT
cuesj-730	107	1	furthermore	furthermore	ADV
cuesj-730	107	2	,	,	PUNCT
cuesj-730	107	3	table	table	NOUN
cuesj-730	107	4	4	4	NUM
cuesj-730	107	5	:	:	PUNCT
cuesj-730	107	6	compare	compare	PROPN
cuesj-730	107	7	aco	aco	PROPN
cuesj-730	107	8	algorithm	algorithm	PROPN
cuesj-730	107	9	for	for	ADP
cuesj-730	107	10	multiple	multiple	ADJ
cuesj-730	107	11	destination	destination	NOUN
cuesj-730	107	12	of	of	ADP
cuesj-730	107	13	cities	city	NOUN
cuesj-730	107	14	in	in	ADP
cuesj-730	107	15	erbil	erbil	PROPN
cuesj-730	107	16	with	with	ADP
cuesj-730	107	17	google	google	PROPN
cuesj-730	107	18	map	map	NOUN
cuesj-730	107	19	route	route	NOUN
cuesj-730	107	20	multiple	multiple	ADJ
cuesj-730	107	21	destination	destination	NOUN
cuesj-730	107	22	route	route	NOUN
cuesj-730	107	23	total	total	ADJ
cuesj-730	107	24	distance	distance	NOUN
cuesj-730	107	25	(	(	PUNCT
cuesj-730	107	26	km	km	NOUN
cuesj-730	107	27	)	)	PUNCT
cuesj-730	107	28	google	google	PROPN
cuesj-730	107	29	map	map	NOUN
cuesj-730	107	30	path	path	NOUN
cuesj-730	107	31	1	1	NUM
cuesj-730	107	32	havalan	havalan	NOUN
cuesj-730	107	33	,	,	PUNCT
cuesj-730	107	34	hawleri	hawleri	VERB
cuesj-730	107	35	new	new	ADJ
cuesj-730	107	36	,	,	PUNCT
cuesj-730	107	37	shariy	shariy	NOUN
cuesj-730	107	38	andazyaran	andazyaran	NOUN
cuesj-730	107	39	,	,	PUNCT
cuesj-730	107	40	hewa	hewa	VERB
cuesj-730	107	41	city	city	NOUN
cuesj-730	107	42	31.9	31.9	NUM
cuesj-730	107	43	google	google	NOUN
cuesj-730	107	44	map	map	NOUN
cuesj-730	107	45	path	path	NOUN
cuesj-730	107	46	2	2	NUM
cuesj-730	107	47	shariy	shariy	NOUN
cuesj-730	107	48	andazyaran	andazyaran	NOUN
cuesj-730	107	49	,	,	PUNCT
cuesj-730	107	50	hawleri	hawleri	VERB
cuesj-730	107	51	new	new	ADJ
cuesj-730	107	52	,	,	PUNCT
cuesj-730	107	53	hewa	hewa	PROPN
cuesj-730	107	54	city	city	NOUN
cuesj-730	107	55	,	,	PUNCT
cuesj-730	107	56	havalan	havalan	NOUN
cuesj-730	107	57	29.6	29.6	NUM
cuesj-730	107	58	google	google	PROPN
cuesj-730	107	59	map	map	NOUN
cuesj-730	107	60	path	path	NOUN
cuesj-730	107	61	3	3	NUM
cuesj-730	107	62	hawleri	hawleri	VERB
cuesj-730	107	63	new	new	ADJ
cuesj-730	107	64	,	,	PUNCT
cuesj-730	107	65	shariy	shariy	NOUN
cuesj-730	107	66	andazyaran	andazyaran	NOUN
cuesj-730	107	67	,	,	PUNCT
cuesj-730	107	68	hewa	hewa	NOUN
cuesj-730	107	69	city	city	NOUN
cuesj-730	107	70	,	,	PUNCT
cuesj-730	107	71	havalan	havalan	NOUN
cuesj-730	107	72	27.4	27.4	NUM
cuesj-730	107	73	aco	aco	PROPN
cuesj-730	107	74	algorithm	algorithm	NOUN
cuesj-730	107	75	for	for	ADP
cuesj-730	107	76	multiple	multiple	ADJ
cuesj-730	107	77	destination	destination	NOUN
cuesj-730	107	78	route	route	NOUN
cuesj-730	107	79	planning	planning	NOUN
cuesj-730	107	80	path	path	NOUN
cuesj-730	107	81	4	4	NUM
cuesj-730	107	82	hawleri	hawleri	VERB
cuesj-730	107	83	new	new	ADJ
cuesj-730	107	84	,	,	PUNCT
cuesj-730	107	85	hewa	hewa	NOUN
cuesj-730	107	86	city	city	NOUN
cuesj-730	107	87	,	,	PUNCT
cuesj-730	107	88	shariy	shariy	NOUN
cuesj-730	107	89	andazyaran	andazyaran	NOUN
cuesj-730	107	90	,	,	PUNCT
cuesj-730	107	91	havalan	havalan	NOUN
cuesj-730	107	92	26	26	NUM
cuesj-730	107	93	table	table	NOUN
cuesj-730	107	94	3	3	NUM
cuesj-730	107	95	:	:	PUNCT
cuesj-730	107	96	compares	compare	VERB
cuesj-730	107	97	different	different	ADJ
cuesj-730	107	98	route	route	NOUN
cuesj-730	107	99	for	for	ADP
cuesj-730	107	100	multiple	multiple	ADJ
cuesj-730	107	101	destination	destination	NOUN
cuesj-730	107	102	of	of	ADP
cuesj-730	107	103	cities	city	NOUN
cuesj-730	107	104	in	in	ADP
cuesj-730	107	105	erbil	erbil	PROPN
cuesj-730	107	106	using	use	VERB
cuesj-730	107	107	google	google	PROPN
cuesj-730	107	108	map	map	NOUN
cuesj-730	107	109	routes	route	NOUN
cuesj-730	107	110	when	when	SCONJ
cuesj-730	107	111	the	the	DET
cuesj-730	107	112	source	source	NOUN
cuesj-730	107	113	node	node	NOUN
cuesj-730	107	114	is	be	AUX
cuesj-730	107	115	family	family	NOUN
cuesj-730	107	116	mall	mall	NOUN
cuesj-730	107	117	multiple	multiple	ADJ
cuesj-730	107	118	destination	destination	NOUN
cuesj-730	107	119	route	route	NOUN
cuesj-730	107	120	total	total	NOUN
cuesj-730	107	121	distance/	distance/	NUM
cuesj-730	107	122	km	km	NOUN
cuesj-730	107	123	google	google	NOUN
cuesj-730	107	124	map	map	NOUN
cuesj-730	107	125	path	path	NOUN
cuesj-730	107	126	5	5	NUM
cuesj-730	107	127	italian	italian	ADJ
cuesj-730	107	128	city	city	NOUN
cuesj-730	107	129	2	2	NUM
cuesj-730	107	130	,	,	PUNCT
cuesj-730	107	131	shaways	shaway	NOUN
cuesj-730	107	132	,	,	PUNCT
cuesj-730	107	133	zin	zin	NOUN
cuesj-730	107	134	city	city	NOUN
cuesj-730	107	135	30.2	30.2	NUM
cuesj-730	107	136	google	google	PROPN
cuesj-730	107	137	map	map	NOUN
cuesj-730	107	138	path	path	NOUN
cuesj-730	107	139	6	6	NUM
cuesj-730	107	140	zin	zin	NOUN
cuesj-730	107	141	city	city	NOUN
cuesj-730	107	142	,	,	PUNCT
cuesj-730	107	143	shaways	shaway	NOUN
cuesj-730	107	144	,	,	PUNCT
cuesj-730	107	145	italian	italian	ADJ
cuesj-730	107	146	city	city	NOUN
cuesj-730	107	147	2	2	NUM
cuesj-730	107	148	40.5	40.5	NUM
cuesj-730	107	149	google	google	NOUN
cuesj-730	107	150	map	map	NOUN
cuesj-730	107	151	path	path	NOUN
cuesj-730	107	152	7	7	NUM
cuesj-730	107	153	italian	italian	ADJ
cuesj-730	107	154	city	city	NOUN
cuesj-730	107	155	2	2	NUM
cuesj-730	107	156	,	,	PUNCT
cuesj-730	107	157	zin	zin	NOUN
cuesj-730	107	158	city	city	NOUN
cuesj-730	107	159	,	,	PUNCT
cuesj-730	107	160	shaways	shaway	VERB
cuesj-730	107	161	42.4	42.4	NUM
cuesj-730	107	162	figure	figure	NOUN
cuesj-730	107	163	18	18	NUM
cuesj-730	107	164	:	:	PUNCT
cuesj-730	107	165	different	different	ADJ
cuesj-730	107	166	routes	route	NOUN
cuesj-730	107	167	cost	cost	VERB
cuesj-730	107	168	for	for	ADP
cuesj-730	107	169	ten	ten	NUM
cuesj-730	107	170	artificial	artificial	ADJ
cuesj-730	107	171	ants	ant	NOUN
cuesj-730	107	172	for	for	ADP
cuesj-730	107	173	six	six	NUM
cuesj-730	107	174	cities	city	NOUN
cuesj-730	107	175	figure	figure	NOUN
cuesj-730	107	176	21	21	NUM
cuesj-730	107	177	:	:	PUNCT
cuesj-730	107	178	compare	compare	VERB
cuesj-730	107	179	aco	aco	PROPN
cuesj-730	107	180	algorithm	algorithm	PROPN
cuesj-730	107	181	for	for	ADP
cuesj-730	107	182	multiple	multiple	ADJ
cuesj-730	107	183	destination	destination	NOUN
cuesj-730	107	184	of	of	ADP
cuesj-730	107	185	cities	city	NOUN
cuesj-730	107	186	in	in	ADP
cuesj-730	107	187	erbil	erbil	PROPN
cuesj-730	107	188	with	with	ADP
cuesj-730	107	189	google	google	PROPN
cuesj-730	107	190	map	map	NOUN
cuesj-730	107	191	in	in	ADP
cuesj-730	107	192	example	example	NOUN
cuesj-730	108	1	1	1	NUM
cuesj-730	108	2	,	,	PUNCT
cuesj-730	108	3	where	where	SCONJ
cuesj-730	108	4	the	the	DET
cuesj-730	108	5	minimum	minimum	ADJ
cuesj-730	108	6	route	route	NOUN
cuesj-730	108	7	is	be	AUX
cuesj-730	108	8	26	26	NUM
cuesj-730	108	9	km	km	NOUN
cuesj-730	108	10	figure	figure	NOUN
cuesj-730	108	11	19	19	NUM
cuesj-730	108	12	:	:	PUNCT
cuesj-730	108	13	aco	aco	PROPN
cuesj-730	108	14	algorithm	algorithm	PROPN
cuesj-730	108	15	for	for	ADP
cuesj-730	108	16	multiple	multiple	ADJ
cuesj-730	108	17	destination	destination	NOUN
cuesj-730	108	18	route	route	NOUN
cuesj-730	108	19	planning	plan	VERB
cuesj-730	108	20	for	for	ADP
cuesj-730	108	21	4	4	NUM
cuesj-730	108	22	cities	city	NOUN
cuesj-730	108	23	figure	figure	NOUN
cuesj-730	108	24	20	20	NUM
cuesj-730	108	25	:	:	PUNCT
cuesj-730	108	26	different	different	ADJ
cuesj-730	108	27	routes	route	NOUN
cuesj-730	108	28	cost	cost	VERB
cuesj-730	108	29	for	for	ADP
cuesj-730	108	30	ten	ten	NUM
cuesj-730	108	31	artificial	artificial	ADJ
cuesj-730	108	32	ants	ant	NOUN
cuesj-730	108	33	for	for	ADP
cuesj-730	108	34	four	four	NUM
cuesj-730	108	35	cities	city	NOUN
cuesj-730	108	36	ismail	ismail	PROPN
cuesj-730	108	37	,	,	PUNCT
cuesj-730	108	38	et	et	PROPN
cuesj-730	108	39	al	al	PROPN
cuesj-730	108	40	.	.	PROPN
cuesj-730	108	41	:	:	PUNCT
cuesj-730	109	1	artificial	artificial	ADJ
cuesj-730	109	2	multiple	multiple	ADJ
cuesj-730	109	3	destination	destination	NOUN
cuesj-730	109	4	discovery	discovery	NOUN
cuesj-730	109	5	:	:	PUNCT
cuesj-730	109	6	google	google	PROPN
cuesj-730	109	7	map	map	NOUN
cuesj-730	109	8	case	case	NOUN
cuesj-730	109	9	study	study	NOUN
cuesj-730	109	10	47	47	NUM
cuesj-730	109	11	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-730	109	12	cuesj	cuesj	ADJ
cuesj-730	109	13	2022	2022	NUM
cuesj-730	109	14	,	,	PUNCT
cuesj-730	109	15	6	6	NUM
cuesj-730	109	16	(	(	PUNCT
cuesj-730	109	17	2	2	NUM
cuesj-730	109	18	):	):	PUNCT
cuesj-730	109	19	41	41	NUM
cuesj-730	109	20	-	-	SYM
cuesj-730	109	21	48	48	NUM
cuesj-730	109	22	in	in	ADP
cuesj-730	109	23	route	route	NOUN
cuesj-730	109	24	plan	plan	NOUN
cuesj-730	109	25	for	for	ADP
cuesj-730	109	26	path	path	NOUN
cuesj-730	109	27	8	8	NUM
cuesj-730	109	28	,	,	PUNCT
cuesj-730	109	29	when	when	SCONJ
cuesj-730	109	30	last	last	ADJ
cuesj-730	109	31	destination	destination	NOUN
cuesj-730	109	32	is	be	AUX
cuesj-730	109	33	italian	italian	ADJ
cuesj-730	109	34	city	city	NOUN
cuesj-730	109	35	2	2	NUM
cuesj-730	109	36	and	and	CCONJ
cuesj-730	109	37	the	the	DET
cuesj-730	109	38	source	source	NOUN
cuesj-730	109	39	location	location	NOUN
cuesj-730	109	40	is	be	AUX
cuesj-730	109	41	family	family	NOUN
cuesj-730	109	42	mall	mall	NOUN
cuesj-730	109	43	the	the	DET
cuesj-730	109	44	shortest	short	ADJ
cuesj-730	109	45	route	route	NOUN
cuesj-730	109	46	that	that	PRON
cuesj-730	109	47	is	be	AUX
cuesj-730	109	48	considered	consider	VERB
cuesj-730	109	49	in	in	ADP
cuesj-730	109	50	the	the	DET
cuesj-730	109	51	total	total	ADJ
cuesj-730	109	52	route	route	NOUN
cuesj-730	109	53	plan	plan	NOUN
cuesj-730	109	54	.	.	PUNCT
cuesj-730	110	1	finally	finally	ADV
cuesj-730	110	2	,	,	PUNCT
cuesj-730	110	3	figures	figure	NOUN
cuesj-730	110	4	21	21	NUM
cuesj-730	110	5	and	and	CCONJ
cuesj-730	110	6	22	22	NUM
cuesj-730	110	7	shows	show	VERB
cuesj-730	110	8	the	the	DET
cuesj-730	110	9	comparison	comparison	NOUN
cuesj-730	110	10	between	between	ADP
cuesj-730	110	11	aco	aco	PROPN
cuesj-730	110	12	algorithm	algorithm	PROPN
cuesj-730	110	13	for	for	ADP
cuesj-730	110	14	multiple	multiple	ADJ
cuesj-730	110	15	destination	destination	NOUN
cuesj-730	110	16	route	route	NOUN
cuesj-730	110	17	planning	plan	VERB
cuesj-730	110	18	with	with	ADP
cuesj-730	110	19	google	google	PROPN
cuesj-730	110	20	map	map	NOUN
cuesj-730	110	21	routes	route	NOUN
cuesj-730	110	22	plan	plan	VERB
cuesj-730	110	23	as	as	ADP
cuesj-730	110	24	a	a	DET
cuesj-730	110	25	case	case	NOUN
cuesj-730	110	26	study	study	NOUN
cuesj-730	110	27	to	to	PART
cuesj-730	110	28	improved	improve	VERB
cuesj-730	110	29	.	.	PUNCT
cuesj-730	111	1	table	table	NOUN
cuesj-730	111	2	5	5	NUM
cuesj-730	111	3	:	:	PUNCT
cuesj-730	111	4	the	the	DET
cuesj-730	111	5	error	error	NOUN
cuesj-730	111	6	percentage	percentage	NOUN
cuesj-730	111	7	of	of	ADP
cuesj-730	111	8	google	google	PROPN
cuesj-730	111	9	map	map	NOUN
cuesj-730	111	10	compared	compare	VERB
cuesj-730	111	11	to	to	ADP
cuesj-730	111	12	the	the	DET
cuesj-730	111	13	result	result	NOUN
cuesj-730	111	14	of	of	ADP
cuesj-730	111	15	aco	aco	PROPN
cuesj-730	111	16	algorithm	algorithm	PROPN
cuesj-730	111	17	for	for	ADP
cuesj-730	111	18	multiple	multiple	ADJ
cuesj-730	111	19	destination	destination	NOUN
cuesj-730	111	20	route	route	NOUN
cuesj-730	111	21	planning	plan	VERB
cuesj-730	111	22	with	with	ADP
cuesj-730	111	23	five	five	NUM
cuesj-730	111	24	cities	city	NOUN
cuesj-730	111	25	routes	route	NOUN
cuesj-730	111	26	when	when	SCONJ
cuesj-730	111	27	the	the	DET
cuesj-730	111	28	source	source	NOUN
cuesj-730	111	29	node	node	NOUN
cuesj-730	111	30	is	be	AUX
cuesj-730	111	31	family	family	NOUN
cuesj-730	111	32	mall	mall	NOUN
cuesj-730	111	33	multiple	multiple	ADJ
cuesj-730	111	34	destination	destination	NOUN
cuesj-730	111	35	route	route	NOUN
cuesj-730	111	36	total	total	VERB
cuesj-730	111	37	distance/	distance/	NUM
cuesj-730	111	38	km	km	NOUN
cuesj-730	111	39	error	error	NOUN
cuesj-730	111	40	related	relate	VERB
cuesj-730	111	41	to	to	ADP
cuesj-730	111	42	aco=26	aco=26	PRON
cuesj-730	111	43	google	google	NOUN
cuesj-730	111	44	map	map	NOUN
cuesj-730	111	45	path	path	NOUN
cuesj-730	111	46	1	1	NUM
cuesj-730	111	47	havalan	havalan	NOUN
cuesj-730	111	48	,	,	PUNCT
cuesj-730	111	49	hawleri	hawleri	VERB
cuesj-730	111	50	new	new	ADJ
cuesj-730	111	51	,	,	PUNCT
cuesj-730	111	52	shariy	shariy	NOUN
cuesj-730	111	53	andazyaran	andazyaran	NOUN
cuesj-730	111	54	,	,	PUNCT
cuesj-730	111	55	hewa	hewa	VERB
cuesj-730	111	56	city	city	NOUN
cuesj-730	111	57	31.9	31.9	NUM
cuesj-730	111	58	23	23	NUM
cuesj-730	111	59	%	%	NOUN
cuesj-730	111	60	google	google	NOUN
cuesj-730	111	61	map	map	NOUN
cuesj-730	111	62	path	path	NOUN
cuesj-730	111	63	2	2	NUM
cuesj-730	111	64	shariy	shariy	NOUN
cuesj-730	111	65	andazyaran	andazyaran	NOUN
cuesj-730	111	66	,	,	PUNCT
cuesj-730	111	67	hawleri	hawleri	VERB
cuesj-730	111	68	new	new	ADJ
cuesj-730	111	69	,	,	PUNCT
cuesj-730	111	70	hewa	hewa	PROPN
cuesj-730	111	71	city	city	NOUN
cuesj-730	111	72	,	,	PUNCT
cuesj-730	111	73	havalan	havalan	NOUN
cuesj-730	111	74	29.6	29.6	NUM
cuesj-730	111	75	14	14	NUM
cuesj-730	111	76	%	%	NOUN
cuesj-730	111	77	google	google	NOUN
cuesj-730	111	78	map	map	NOUN
cuesj-730	111	79	path	path	NOUN
cuesj-730	111	80	3	3	NUM
cuesj-730	111	81	hawleri	hawleri	VERB
cuesj-730	111	82	new	new	ADJ
cuesj-730	111	83	,	,	PUNCT
cuesj-730	111	84	shariy	shariy	NOUN
cuesj-730	111	85	andazyaran	andazyaran	NOUN
cuesj-730	111	86	,	,	PUNCT
cuesj-730	111	87	hewa	hewa	NOUN
cuesj-730	111	88	city	city	NOUN
cuesj-730	111	89	,	,	PUNCT
cuesj-730	111	90	havalan	havalan	NOUN
cuesj-730	111	91	27.4	27.4	NUM
cuesj-730	111	92	5	5	NUM
cuesj-730	111	93	%	%	NOUN
cuesj-730	111	94	table	table	NOUN
cuesj-730	111	95	7	7	NUM
cuesj-730	111	96	:	:	PUNCT
cuesj-730	111	97	the	the	DET
cuesj-730	111	98	error	error	NOUN
cuesj-730	111	99	percentage	percentage	NOUN
cuesj-730	111	100	of	of	ADP
cuesj-730	111	101	google	google	PROPN
cuesj-730	111	102	map	map	NOUN
cuesj-730	111	103	compared	compare	VERB
cuesj-730	111	104	to	to	ADP
cuesj-730	111	105	the	the	DET
cuesj-730	111	106	result	result	NOUN
cuesj-730	111	107	of	of	ADP
cuesj-730	111	108	aco	aco	PROPN
cuesj-730	111	109	algorithm	algorithm	PROPN
cuesj-730	111	110	for	for	ADP
cuesj-730	111	111	multiple	multiple	ADJ
cuesj-730	111	112	destination	destination	NOUN
cuesj-730	111	113	route	route	NOUN
cuesj-730	111	114	planning	plan	VERB
cuesj-730	111	115	with	with	ADP
cuesj-730	111	116	four	four	NUM
cuesj-730	111	117	cities	city	NOUN
cuesj-730	111	118	routes	route	NOUN
cuesj-730	111	119	when	when	SCONJ
cuesj-730	111	120	the	the	DET
cuesj-730	111	121	source	source	NOUN
cuesj-730	111	122	node	node	NOUN
cuesj-730	111	123	is	be	AUX
cuesj-730	111	124	family	family	NOUN
cuesj-730	111	125	mall	mall	NOUN
cuesj-730	111	126	multiple	multiple	ADJ
cuesj-730	111	127	destination	destination	NOUN
cuesj-730	111	128	route	route	NOUN
cuesj-730	111	129	total	total	VERB
cuesj-730	111	130	distance/	distance/	NUM
cuesj-730	111	131	km	km	NOUN
cuesj-730	111	132	error	error	NOUN
cuesj-730	111	133	related	relate	VERB
cuesj-730	111	134	to	to	PART
cuesj-730	111	135	aco=27.1	aco=27.1	VERB
cuesj-730	111	136	google	google	PROPN
cuesj-730	111	137	map	map	NOUN
cuesj-730	111	138	path	path	NOUN
cuesj-730	111	139	5	5	NUM
cuesj-730	111	140	italian	italian	ADJ
cuesj-730	111	141	city	city	NOUN
cuesj-730	111	142	2	2	NUM
cuesj-730	111	143	,	,	PUNCT
cuesj-730	111	144	shaways	shaway	NOUN
cuesj-730	111	145	,	,	PUNCT
cuesj-730	111	146	zin	zin	NOUN
cuesj-730	111	147	city	city	NOUN
cuesj-730	111	148	30.2	30.2	NUM
cuesj-730	111	149	12	12	NUM
cuesj-730	111	150	%	%	NOUN
cuesj-730	111	151	google	google	NOUN
cuesj-730	111	152	map	map	NOUN
cuesj-730	111	153	path	path	NOUN
cuesj-730	111	154	6	6	NUM
cuesj-730	111	155	zin	zin	NOUN
cuesj-730	111	156	city	city	NOUN
cuesj-730	111	157	,	,	PUNCT
cuesj-730	111	158	shaways	shaway	NOUN
cuesj-730	111	159	,	,	PUNCT
cuesj-730	111	160	italian	italian	ADJ
cuesj-730	111	161	city	city	NOUN
cuesj-730	111	162	2	2	NUM
cuesj-730	111	163	40.5	40.5	NUM
cuesj-730	111	164	50	50	NUM
cuesj-730	111	165	%	%	NOUN
cuesj-730	111	166	google	google	NOUN
cuesj-730	111	167	map	map	NOUN
cuesj-730	111	168	path	path	NOUN
cuesj-730	111	169	7	7	NUM
cuesj-730	111	170	italian	italian	ADJ
cuesj-730	111	171	city	city	NOUN
cuesj-730	111	172	2	2	NUM
cuesj-730	111	173	,	,	PUNCT
cuesj-730	111	174	zin	zin	NOUN
cuesj-730	111	175	city	city	NOUN
cuesj-730	111	176	,	,	PUNCT
cuesj-730	111	177	shaways	shaway	VERB
cuesj-730	111	178	42.4	42.4	NUM
cuesj-730	111	179	57	57	NUM
cuesj-730	111	180	%	%	NOUN
cuesj-730	111	181	table	table	NOUN
cuesj-730	111	182	6	6	NUM
cuesj-730	111	183	:	:	PUNCT
cuesj-730	111	184	compare	compare	PROPN
cuesj-730	111	185	aco	aco	PROPN
cuesj-730	111	186	algorithm	algorithm	PROPN
cuesj-730	111	187	for	for	ADP
cuesj-730	111	188	multiple	multiple	ADJ
cuesj-730	111	189	destination	destination	NOUN
cuesj-730	111	190	of	of	ADP
cuesj-730	111	191	cities	city	NOUN
cuesj-730	111	192	in	in	ADP
cuesj-730	111	193	erbil	erbil	PROPN
cuesj-730	111	194	with	with	ADP
cuesj-730	111	195	google	google	PROPN
cuesj-730	111	196	map	map	NOUN
cuesj-730	111	197	routes	route	NOUN
cuesj-730	111	198	when	when	SCONJ
cuesj-730	111	199	the	the	DET
cuesj-730	111	200	source	source	NOUN
cuesj-730	111	201	node	node	NOUN
cuesj-730	111	202	is	be	AUX
cuesj-730	111	203	family	family	NOUN
cuesj-730	111	204	mall	mall	NOUN
cuesj-730	111	205	multiple	multiple	ADJ
cuesj-730	111	206	destination	destination	NOUN
cuesj-730	111	207	route	route	NOUN
cuesj-730	111	208	total	total	ADJ
cuesj-730	111	209	distance	distance	NOUN
cuesj-730	111	210	/	/	SYM
cuesj-730	111	211	km	km	NOUN
cuesj-730	111	212	google	google	NOUN
cuesj-730	111	213	map	map	NOUN
cuesj-730	111	214	path	path	NOUN
cuesj-730	111	215	5	5	NUM
cuesj-730	111	216	italian	italian	ADJ
cuesj-730	111	217	city	city	NOUN
cuesj-730	111	218	2	2	NUM
cuesj-730	111	219	,	,	PUNCT
cuesj-730	111	220	shaways	shaway	NOUN
cuesj-730	111	221	,	,	PUNCT
cuesj-730	111	222	zin	zin	NOUN
cuesj-730	111	223	city	city	NOUN
cuesj-730	111	224	30.2	30.2	NUM
cuesj-730	111	225	google	google	PROPN
cuesj-730	111	226	map	map	NOUN
cuesj-730	111	227	path	path	NOUN
cuesj-730	111	228	6	6	NUM
cuesj-730	111	229	zin	zin	NOUN
cuesj-730	111	230	city	city	NOUN
cuesj-730	111	231	,	,	PUNCT
cuesj-730	111	232	shaways	shaway	NOUN
cuesj-730	111	233	,	,	PUNCT
cuesj-730	111	234	italian	italian	ADJ
cuesj-730	111	235	city	city	NOUN
cuesj-730	111	236	2	2	NUM
cuesj-730	111	237	40.5	40.5	NUM
cuesj-730	111	238	google	google	NOUN
cuesj-730	111	239	map	map	NOUN
cuesj-730	111	240	path	path	NOUN
cuesj-730	111	241	7	7	NUM
cuesj-730	111	242	italian	italian	ADJ
cuesj-730	111	243	city	city	NOUN
cuesj-730	111	244	2	2	NUM
cuesj-730	111	245	,	,	PUNCT
cuesj-730	111	246	zin	zin	NOUN
cuesj-730	111	247	city	city	NOUN
cuesj-730	111	248	,	,	PUNCT
cuesj-730	111	249	shaways	shaway	VERB
cuesj-730	111	250	42.4	42.4	NUM
cuesj-730	111	251	aco	aco	PROPN
cuesj-730	111	252	algorithm	algorithm	NOUN
cuesj-730	111	253	for	for	ADP
cuesj-730	111	254	multiple	multiple	ADJ
cuesj-730	111	255	destination	destination	NOUN
cuesj-730	111	256	route	route	NOUN
cuesj-730	111	257	planning	planning	NOUN
cuesj-730	111	258	path	path	NOUN
cuesj-730	111	259	8	8	NUM
cuesj-730	111	260	shaways	shaway	NOUN
cuesj-730	111	261	,	,	PUNCT
cuesj-730	111	262	zin	zin	NOUN
cuesj-730	111	263	city	city	NOUN
cuesj-730	111	264	,	,	PUNCT
cuesj-730	111	265	italian	italian	ADJ
cuesj-730	111	266	civty	civty	NOUN
cuesj-730	111	267	2	2	NUM
cuesj-730	111	268	27.1	27.1	NUM
cuesj-730	111	269	figure	figure	NOUN
cuesj-730	111	270	22	22	NUM
cuesj-730	111	271	:	:	PUNCT
cuesj-730	112	1	compare	compare	VERB
cuesj-730	112	2	aco	aco	PROPN
cuesj-730	112	3	algorithm	algorithm	PROPN
cuesj-730	112	4	for	for	ADP
cuesj-730	112	5	multiple	multiple	ADJ
cuesj-730	112	6	destination	destination	NOUN
cuesj-730	112	7	of	of	ADP
cuesj-730	112	8	cities	city	NOUN
cuesj-730	112	9	in	in	ADP
cuesj-730	112	10	erbil	erbil	PROPN
cuesj-730	112	11	with	with	ADP
cuesj-730	112	12	google	google	PROPN
cuesj-730	112	13	map	map	NOUN
cuesj-730	112	14	in	in	ADP
cuesj-730	112	15	example	example	NOUN
cuesj-730	112	16	2	2	NUM
cuesj-730	112	17	,	,	PUNCT
cuesj-730	112	18	where	where	SCONJ
cuesj-730	112	19	the	the	DET
cuesj-730	112	20	minimum	minimum	ADJ
cuesj-730	112	21	route	route	NOUN
cuesj-730	112	22	is	be	AUX
cuesj-730	112	23	27.1	27.1	NUM
cuesj-730	112	24	km	km	NOUN
cuesj-730	112	25	ismail	ismail	NOUN
cuesj-730	112	26	,	,	PUNCT
cuesj-730	112	27	et	et	PROPN
cuesj-730	112	28	al	al	PROPN
cuesj-730	112	29	.	.	PROPN
cuesj-730	112	30	:	:	PUNCT
cuesj-730	113	1	artificial	artificial	ADJ
cuesj-730	113	2	multiple	multiple	ADJ
cuesj-730	113	3	destination	destination	NOUN
cuesj-730	113	4	discovery	discovery	NOUN
cuesj-730	113	5	:	:	PUNCT
cuesj-730	113	6	google	google	PROPN
cuesj-730	113	7	map	map	NOUN
cuesj-730	113	8	case	case	NOUN
cuesj-730	113	9	study	study	NOUN
cuesj-730	113	10	48	48	NUM
cuesj-730	113	11	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-730	113	12	cuesj	cuesj	ADJ
cuesj-730	113	13	2022	2022	NUM
cuesj-730	113	14	,	,	PUNCT
cuesj-730	113	15	6	6	NUM
cuesj-730	113	16	(	(	PUNCT
cuesj-730	113	17	2	2	NUM
cuesj-730	113	18	):	):	PUNCT
cuesj-730	113	19	41	41	NUM
cuesj-730	113	20	-	-	SYM
cuesj-730	113	21	48	48	NUM
cuesj-730	113	22	conclusion	conclusion	NOUN
cuesj-730	113	23	and	and	CCONJ
cuesj-730	113	24	future	future	ADJ
cuesj-730	113	25	work	work	NOUN
cuesj-730	113	26	this	this	DET
cuesj-730	113	27	paper	paper	NOUN
cuesj-730	113	28	focuses	focus	VERB
cuesj-730	113	29	on	on	ADP
cuesj-730	113	30	improving	improve	VERB
cuesj-730	113	31	the	the	DET
cuesj-730	113	32	routing	routing	NOUN
cuesj-730	113	33	algorithms	algorithm	NOUN
cuesj-730	113	34	in	in	ADP
cuesj-730	113	35	computer	computer	NOUN
cuesj-730	113	36	networks	network	NOUN
cuesj-730	113	37	and	and	CCONJ
cuesj-730	113	38	in	in	ADP
cuesj-730	113	39	the	the	DET
cuesj-730	113	40	real	real	ADJ
cuesj-730	113	41	-	-	PUNCT
cuesj-730	113	42	life	life	NOUN
cuesj-730	113	43	network	network	NOUN
cuesj-730	113	44	when	when	SCONJ
cuesj-730	113	45	multiple	multiple	ADJ
cuesj-730	113	46	destinations	destination	NOUN
cuesj-730	113	47	are	be	AUX
cuesj-730	113	48	needed	need	VERB
cuesj-730	113	49	.	.	PUNCT
cuesj-730	114	1	most	most	ADJ
cuesj-730	114	2	computer	computer	NOUN
cuesj-730	114	3	network	network	NOUN
cuesj-730	114	4	routing	route	VERB
cuesj-730	114	5	algorithms	algorithm	NOUN
cuesj-730	114	6	that	that	PRON
cuesj-730	114	7	are	be	AUX
cuesj-730	114	8	configured	configure	VERB
cuesj-730	114	9	for	for	ADP
cuesj-730	114	10	routers	router	NOUN
cuesj-730	114	11	consider	consider	VERB
cuesj-730	114	12	a	a	DET
cuesj-730	114	13	single	single	ADJ
cuesj-730	114	14	destination	destination	NOUN
cuesj-730	114	15	.	.	PUNCT
cuesj-730	115	1	in	in	ADP
cuesj-730	115	2	this	this	DET
cuesj-730	115	3	paper	paper	NOUN
cuesj-730	115	4	,	,	PUNCT
cuesj-730	115	5	we	we	PRON
cuesj-730	115	6	have	have	AUX
cuesj-730	115	7	reviewed	review	VERB
cuesj-730	115	8	multiple	multiple	ADJ
cuesj-730	115	9	destination	destination	NOUN
cuesj-730	115	10	route	route	NOUN
cuesj-730	115	11	discovery	discovery	PROPN
cuesj-730	115	12	protocols	protocol	NOUN
cuesj-730	115	13	and	and	CCONJ
cuesj-730	115	14	analyze	analyze	VERB
cuesj-730	115	15	their	their	PRON
cuesj-730	115	16	challenges	challenge	NOUN
cuesj-730	115	17	.	.	PUNCT
cuesj-730	116	1	google	google	PROPN
cuesj-730	116	2	map	map	NOUN
cuesj-730	116	3	is	be	AUX
cuesj-730	116	4	an	an	DET
cuesj-730	116	5	application	application	NOUN
cuesj-730	116	6	that	that	PRON
cuesj-730	116	7	has	have	VERB
cuesj-730	116	8	multiple	multiple	ADJ
cuesj-730	116	9	destination	destination	NOUN
cuesj-730	116	10	service	service	NOUN
cuesj-730	116	11	.	.	PUNCT
cuesj-730	117	1	we	we	PRON
cuesj-730	117	2	identified	identify	VERB
cuesj-730	117	3	the	the	DET
cuesj-730	117	4	problem	problem	NOUN
cuesj-730	117	5	in	in	ADP
cuesj-730	117	6	google	google	PROPN
cuesj-730	117	7	map	map	NOUN
cuesj-730	117	8	application	application	NOUN
cuesj-730	117	9	when	when	SCONJ
cuesj-730	117	10	using	use	VERB
cuesj-730	117	11	the	the	DET
cuesj-730	117	12	application	application	NOUN
cuesj-730	117	13	with	with	ADP
cuesj-730	117	14	multiple	multiple	ADJ
cuesj-730	117	15	destinations	destination	NOUN
cuesj-730	117	16	and	and	CCONJ
cuesj-730	117	17	proposed	propose	VERB
cuesj-730	117	18	an	an	DET
cuesj-730	117	19	improvement	improvement	NOUN
cuesj-730	117	20	algorithm	algorithm	NOUN
cuesj-730	117	21	for	for	ADP
cuesj-730	117	22	multiple	multiple	ADJ
cuesj-730	117	23	destination	destination	NOUN
cuesj-730	117	24	route	route	NOUN
cuesj-730	117	25	discovery	discovery	NOUN
cuesj-730	117	26	when	when	SCONJ
cuesj-730	117	27	using	use	VERB
cuesj-730	117	28	aco	aco	PROPN
cuesj-730	117	29	algorithm	algorithm	PROPN
cuesj-730	117	30	.	.	PUNCT
cuesj-730	118	1	the	the	DET
cuesj-730	118	2	aco	aco	PROPN
cuesj-730	118	3	algorithm	algorithm	PROPN
cuesj-730	118	4	for	for	ADP
cuesj-730	118	5	multiple	multiple	ADJ
cuesj-730	118	6	destination	destination	NOUN
cuesj-730	118	7	route	route	NOUN
cuesj-730	118	8	planning	planning	NOUN
cuesj-730	118	9	gives	give	VERB
cuesj-730	118	10	the	the	DET
cuesj-730	118	11	best	good	ADJ
cuesj-730	118	12	route	route	NOUN
cuesj-730	118	13	and	and	CCONJ
cuesj-730	118	14	the	the	DET
cuesj-730	118	15	optimal	optimal	ADJ
cuesj-730	118	16	cities	city	NOUN
cuesj-730	118	17	sequence	sequence	NOUN
cuesj-730	118	18	to	to	PART
cuesj-730	118	19	visit	visit	VERB
cuesj-730	118	20	.	.	PUNCT
cuesj-730	119	1	the	the	DET
cuesj-730	119	2	results	result	NOUN
cuesj-730	119	3	show	show	VERB
cuesj-730	119	4	a	a	DET
cuesj-730	119	5	good	good	ADJ
cuesj-730	119	6	performance	performance	NOUN
cuesj-730	119	7	when	when	SCONJ
cuesj-730	119	8	the	the	DET
cuesj-730	119	9	shortest	short	ADJ
cuesj-730	119	10	path	path	NOUN
cuesj-730	119	11	is	be	AUX
cuesj-730	119	12	found	find	VERB
cuesj-730	119	13	and	and	CCONJ
cuesj-730	119	14	the	the	DET
cuesj-730	119	15	new	new	ADJ
cuesj-730	119	16	destination	destination	NOUN
cuesj-730	119	17	is	be	AUX
cuesj-730	119	18	added	add	VERB
cuesj-730	119	19	to	to	ADP
cuesj-730	119	20	the	the	DET
cuesj-730	119	21	route	route	NOUN
cuesj-730	119	22	plan	plan	NOUN
cuesj-730	119	23	.	.	PUNCT
cuesj-730	120	1	for	for	ADP
cuesj-730	120	2	a	a	DET
cuesj-730	120	3	future	future	ADJ
cuesj-730	120	4	work	work	NOUN
cuesj-730	120	5	,	,	PUNCT
cuesj-730	120	6	the	the	DET
cuesj-730	120	7	proposed	propose	VERB
cuesj-730	120	8	algorithm	algorithm	NOUN
cuesj-730	120	9	for	for	ADP
cuesj-730	120	10	multiple	multiple	ADJ
cuesj-730	120	11	destination	destination	NOUN
cuesj-730	120	12	route	route	NOUN
cuesj-730	120	13	discovery	discovery	NOUN
cuesj-730	120	14	could	could	AUX
cuesj-730	120	15	be	be	AUX
cuesj-730	120	16	used	use	VERB
cuesj-730	120	17	in	in	ADP
cuesj-730	120	18	real	real	ADJ
cuesj-730	120	19	-	-	PUNCT
cuesj-730	120	20	life	life	NOUN
cuesj-730	120	21	services	service	NOUN
cuesj-730	120	22	such	such	ADJ
cuesj-730	120	23	as	as	ADP
cuesj-730	120	24	goods	good	NOUN
cuesj-730	120	25	distributor	distributor	NOUN
cuesj-730	120	26	driver	driver	NOUN
cuesj-730	120	27	and	and	CCONJ
cuesj-730	120	28	city	city	NOUN
cuesj-730	120	29	bus	bus	NOUN
cuesj-730	120	30	scheduling	scheduling	NOUN
cuesj-730	120	31	for	for	ADP
cuesj-730	120	32	multi	multi	ADJ
cuesj-730	120	33	stop	stop	NOUN
cuesj-730	120	34	stations	station	NOUN
cuesj-730	120	35	to	to	PART
cuesj-730	120	36	develop	develop	VERB
cuesj-730	120	37	many	many	ADJ
cuesj-730	120	38	smart	smart	ADJ
cuesj-730	120	39	applications	application	NOUN
cuesj-730	120	40	for	for	ADP
cuesj-730	120	41	the	the	DET
cuesj-730	120	42	future	future	NOUN
cuesj-730	120	43	of	of	ADP
cuesj-730	120	44	erbil	erbil	PROPN
cuesj-730	120	45	smart	smart	ADJ
cuesj-730	120	46	city	city	NOUN
cuesj-730	120	47	.	.	PUNCT
cuesj-730	121	1	references	reference	NOUN
cuesj-730	121	2	1	1	NUM
cuesj-730	121	3	.	.	PUNCT
cuesj-730	122	1	s.	s.	PROPN
cuesj-730	122	2	aslam	aslam	PROPN
cuesj-730	122	3	and	and	CCONJ
cuesj-730	122	4	h.	h.	PROPN
cuesj-730	122	5	s.	s.	PROPN
cuesj-730	122	6	ullah	ullah	PROPN
cuesj-730	122	7	.	.	PUNCT
cuesj-730	123	1	a	a	DET
cuesj-730	123	2	comprehensive	comprehensive	ADJ
cuesj-730	123	3	review	review	NOUN
cuesj-730	123	4	of	of	ADP
cuesj-730	123	5	smart	smart	ADJ
cuesj-730	123	6	cities	city	NOUN
cuesj-730	123	7	components	component	NOUN
cuesj-730	123	8	,	,	PUNCT
cuesj-730	123	9	applications	application	NOUN
cuesj-730	123	10	,	,	PUNCT
cuesj-730	123	11	and	and	CCONJ
cuesj-730	123	12	technologies	technology	NOUN
cuesj-730	123	13	based	base	VERB
cuesj-730	123	14	on	on	ADP
cuesj-730	123	15	internet	internet	NOUN
cuesj-730	123	16	of	of	ADP
cuesj-730	123	17	things	thing	NOUN
cuesj-730	123	18	.	.	PUNCT
cuesj-730	124	1	arxiv	arxiv	PROPN
cuesj-730	124	2	,	,	PUNCT
cuesj-730	124	3	vol	vol	NOUN
cuesj-730	124	4	.	.	PUNCT
cuesj-730	124	5	2002	2002	NUM
cuesj-730	124	6	,	,	PUNCT
cuesj-730	124	7	p.	p.	NOUN
cuesj-730	124	8	01716	01716	NUM
cuesj-730	124	9	,	,	PUNCT
cuesj-730	124	10	2020	2020	NUM
cuesj-730	124	11	.	.	PUNCT
cuesj-730	125	1	2	2	X
cuesj-730	125	2	.	.	PUNCT
cuesj-730	125	3	a.	a.	NOUN
cuesj-730	125	4	kousis	kousis	PROPN
cuesj-730	125	5	and	and	CCONJ
cuesj-730	125	6	c.	c.	PROPN
cuesj-730	125	7	tjortjis	tjortjis	PROPN
cuesj-730	125	8	.	.	PUNCT
cuesj-730	126	1	data	datum	NOUN
cuesj-730	126	2	mining	mining	NOUN
cuesj-730	126	3	algorithms	algorithm	NOUN
cuesj-730	126	4	for	for	ADP
cuesj-730	126	5	smart	smart	ADJ
cuesj-730	126	6	cities	city	NOUN
cuesj-730	126	7	:	:	PUNCT
cuesj-730	126	8	a	a	DET
cuesj-730	126	9	bibliometric	bibliometric	ADJ
cuesj-730	126	10	analysis	analysis	NOUN
cuesj-730	126	11	.	.	PUNCT
cuesj-730	127	1	algorithms	algorithm	NOUN
cuesj-730	127	2	,	,	PUNCT
cuesj-730	127	3	vol	vol	NOUN
cuesj-730	127	4	.	.	PROPN
cuesj-730	127	5	14	14	NUM
cuesj-730	127	6	,	,	PUNCT
cuesj-730	127	7	p.	p.	NOUN
cuesj-730	127	8	242	242	NUM
cuesj-730	127	9	,	,	PUNCT
cuesj-730	127	10	2021	2021	NUM
cuesj-730	127	11	.	.	PUNCT
cuesj-730	128	1	3	3	X
cuesj-730	128	2	.	.	PUNCT
cuesj-730	128	3	a.	a.	PROPN
cuesj-730	128	4	t.	t.	PROPN
cuesj-730	128	5	kareem	kareem	PROPN
cuesj-730	128	6	,	,	PUNCT
cuesj-730	128	7	m.	m.	NOUN
cuesj-730	128	8	a.	a.	NOUN
cuesj-730	128	9	alrawi	alrawi	PROPN
cuesj-730	128	10	and	and	CCONJ
cuesj-730	128	11	t.	t.	NOUN
cuesj-730	128	12	a.	a.	NOUN
cuesj-730	128	13	israa	israa	NOUN
cuesj-730	128	14	.	.	PUNCT
cuesj-730	129	1	smart	smart	ADJ
cuesj-730	129	2	inventory	inventory	NOUN
cuesj-730	129	3	control	control	NOUN
cuesj-730	129	4	system	system	NOUN
cuesj-730	129	5	based	base	VERB
cuesj-730	129	6	on	on	ADP
cuesj-730	129	7	wireless	wireless	ADJ
cuesj-730	129	8	sensor	sensor	NOUN
cuesj-730	129	9	network	network	NOUN
cuesj-730	129	10	.	.	PUNCT
cuesj-730	130	1	international	international	ADJ
cuesj-730	130	2	journal	journal	PROPN
cuesj-730	130	3	of	of	ADP
cuesj-730	130	4	engineering	engineering	NOUN
cuesj-730	130	5	research	research	NOUN
cuesj-730	130	6	and	and	CCONJ
cuesj-730	130	7	application	application	NOUN
cuesj-730	130	8	,	,	PUNCT
cuesj-730	130	9	vol	vol	NOUN
cuesj-730	130	10	.	.	PROPN
cuesj-730	130	11	7	7	NUM
cuesj-730	130	12	,	,	PUNCT
cuesj-730	130	13	no	no	INTJ
cuesj-730	130	14	.	.	NOUN
cuesj-730	130	15	8	8	NUM
cuesj-730	130	16	,	,	PUNCT
cuesj-730	130	17	pp	pp	ADJ
cuesj-730	130	18	.	.	PUNCT
cuesj-730	131	1	40	40	NUM
cuesj-730	131	2	-	-	SYM
cuesj-730	131	3	47	47	NUM
cuesj-730	131	4	,	,	PUNCT
cuesj-730	131	5	2017	2017	NUM
cuesj-730	131	6	.	.	PUNCT
cuesj-730	132	1	4	4	X
cuesj-730	132	2	.	.	PUNCT
cuesj-730	132	3	j.	j.	PROPN
cuesj-730	132	4	zhang	zhang	PROPN
cuesj-730	132	5	,	,	PUNCT
cuesj-730	132	6	j.	j.	PROPN
cuesj-730	132	7	fan	fan	PROPN
cuesj-730	132	8	and	and	CCONJ
cuesj-730	132	9	z.	z.	PROPN
cuesj-730	132	10	luo	luo	PROPN
cuesj-730	132	11	.	.	PUNCT
cuesj-730	133	1	generating	generate	VERB
cuesj-730	133	2	multi	multi	ADJ
cuesj-730	133	3	-	-	ADJ
cuesj-730	133	4	destination	destination	ADJ
cuesj-730	133	5	maps	map	NOUN
cuesj-730	133	6	.	.	PUNCT
cuesj-730	134	1	ieee	ieee	NOUN
cuesj-730	134	2	transactions	transaction	NOUN
cuesj-730	134	3	on	on	ADP
cuesj-730	134	4	visualization	visualization	NOUN
cuesj-730	134	5	and	and	CCONJ
cuesj-730	134	6	computer	computer	NOUN
cuesj-730	134	7	graphics	graphic	NOUN
cuesj-730	134	8	,	,	PUNCT
cuesj-730	134	9	vol	vol	NOUN
cuesj-730	134	10	.	.	PROPN
cuesj-730	134	11	23	23	NUM
cuesj-730	134	12	,	,	PUNCT
cuesj-730	134	13	no	no	INTJ
cuesj-730	134	14	.	.	NOUN
cuesj-730	134	15	8	8	NUM
cuesj-730	134	16	,	,	PUNCT
cuesj-730	134	17	pp	pp	ADJ
cuesj-730	134	18	.	.	PUNCT
cuesj-730	135	1	1964	1964	NUM
cuesj-730	135	2	-	-	SYM
cuesj-730	135	3	1976	1976	NUM
cuesj-730	135	4	,	,	PUNCT
cuesj-730	135	5	2017	2017	NUM
cuesj-730	135	6	.	.	PUNCT
cuesj-730	136	1	5	5	X
cuesj-730	136	2	.	.	PUNCT
cuesj-730	136	3	h.	h.	PROPN
cuesj-730	136	4	siam	siam	PROPN
cuesj-730	136	5	and	and	CCONJ
cuesj-730	136	6	m.	m.	PROPN
cuesj-730	136	7	b.	b.	PROPN
cuesj-730	136	8	younes	younes	PROPN
cuesj-730	136	9	.	.	PUNCT
cuesj-730	137	1	multi	multi	ADJ
cuesj-730	137	2	-	-	ADJ
cuesj-730	137	3	destinations	destination	NOUN
cuesj-730	137	4	round	round	NOUN
cuesj-730	137	5	trip	trip	NOUN
cuesj-730	137	6	planner	planner	NOUN
cuesj-730	137	7	protocol	protocol	NOUN
cuesj-730	137	8	.	.	PUNCT
cuesj-730	138	1	2018	2018	NUM
cuesj-730	138	2	5th	5th	ADJ
cuesj-730	138	3	international	international	ADJ
cuesj-730	138	4	symposium	symposium	NOUN
cuesj-730	138	5	on	on	ADP
cuesj-730	138	6	innovation	innovation	NOUN
cuesj-730	138	7	in	in	ADP
cuesj-730	138	8	information	information	NOUN
cuesj-730	138	9	and	and	CCONJ
cuesj-730	138	10	communication	communication	NOUN
cuesj-730	138	11	technology	technology	NOUN
cuesj-730	138	12	(	(	PUNCT
cuesj-730	138	13	isiict	isiict	PROPN
cuesj-730	138	14	)	)	PUNCT
cuesj-730	138	15	,	,	PUNCT
cuesj-730	138	16	pp	pp	PROPN
cuesj-730	138	17	.	.	PUNCT
cuesj-730	139	1	1	1	NUM
cuesj-730	139	2	-	-	SYM
cuesj-730	139	3	5	5	NUM
cuesj-730	139	4	,	,	PUNCT
cuesj-730	139	5	2018	2018	NUM
cuesj-730	139	6	.	.	PUNCT
cuesj-730	140	1	6	6	NUM
cuesj-730	140	2	.	.	X
cuesj-730	140	3	a.	a.	NOUN
cuesj-730	140	4	behrouz	behrouz	PROPN
cuesj-730	140	5	.	.	PUNCT
cuesj-730	141	1	data	datum	NOUN
cuesj-730	141	2	communications	communication	NOUN
cuesj-730	141	3	and	and	CCONJ
cuesj-730	141	4	networking	networking	NOUN
cuesj-730	141	5	.	.	PUNCT
cuesj-730	142	1	5th	5th	ADJ
cuesj-730	142	2	ed	ed	NOUN
cuesj-730	142	3	.	.	PUNCT
cuesj-730	143	1	mcgraw	mcgraw	PROPN
cuesj-730	143	2	-	-	PUNCT
cuesj-730	143	3	hill	hill	PROPN
cuesj-730	143	4	,	,	PUNCT
cuesj-730	143	5	new	new	PROPN
cuesj-730	143	6	york	york	PROPN
cuesj-730	143	7	,	,	PUNCT
cuesj-730	143	8	pp	pp	PROPN
cuesj-730	143	9	.	.	PUNCT
cuesj-730	144	1	601	601	NUM
cuesj-730	144	2	-	-	SYM
cuesj-730	144	3	602	602	NUM
cuesj-730	144	4	,	,	PUNCT
cuesj-730	144	5	2013	2013	NUM
cuesj-730	144	6	.	.	PUNCT
cuesj-730	145	1	7	7	X
cuesj-730	145	2	.	.	PUNCT
cuesj-730	145	3	a.	a.	PROPN
cuesj-730	145	4	f.	f.	PROPN
cuesj-730	145	5	alkhazraji	alkhazraji	PROPN
cuesj-730	145	6	,	,	PUNCT
cuesj-730	145	7	s.	s.	PROPN
cuesj-730	145	8	j.	j.	PROPN
cuesj-730	145	9	ismail	ismail	PROPN
cuesj-730	145	10	and	and	CCONJ
cuesj-730	145	11	y.	y.	PROPN
cuesj-730	145	12	n.	n.	PROPN
cuesj-730	145	13	abd	abd	PROPN
cuesj-730	145	14	.	.	PUNCT
cuesj-730	146	1	iraqi	iraqi	ADJ
cuesj-730	146	2	national	national	PROPN
cuesj-730	146	3	grid	grid	PROPN
cuesj-730	146	4	restoration	restoration	NOUN
cuesj-730	146	5	strategy	strategy	NOUN
cuesj-730	146	6	based	base	VERB
cuesj-730	146	7	on	on	ADP
cuesj-730	146	8	modified	modified	ADJ
cuesj-730	146	9	depth	depth	NOUN
cuesj-730	146	10	first	first	ADJ
cuesj-730	146	11	search	search	NOUN
cuesj-730	146	12	algorithm	algorithm	NOUN
cuesj-730	146	13	.	.	PUNCT
cuesj-730	147	1	advances	advance	NOUN
cuesj-730	147	2	in	in	ADP
cuesj-730	147	3	natural	natural	ADJ
cuesj-730	147	4	and	and	CCONJ
cuesj-730	147	5	applied	applied	ADJ
cuesj-730	147	6	sciences	science	NOUN
cuesj-730	147	7	,	,	PUNCT
cuesj-730	147	8	vol	vol	NOUN
cuesj-730	147	9	.	.	PROPN
cuesj-730	148	1	10	10	NUM
cuesj-730	148	2	,	,	PUNCT
cuesj-730	148	3	no	no	INTJ
cuesj-730	148	4	.	.	NOUN
cuesj-730	149	1	5	5	NUM
cuesj-730	149	2	.	.	X
cuesj-730	150	1	pp	pp	ADJ
cuesj-730	150	2	.	.	PUNCT
cuesj-730	151	1	1	1	NUM
cuesj-730	151	2	-	-	SYM
cuesj-730	151	3	12	12	NUM
cuesj-730	151	4	,	,	PUNCT
cuesj-730	151	5	2016	2016	NUM
cuesj-730	151	6	.	.	PUNCT
cuesj-730	152	1	8	8	NUM
cuesj-730	152	2	.	.	PUNCT
cuesj-730	152	3	a.	a.	PROPN
cuesj-730	152	4	f.	f.	PROPN
cuesj-730	152	5	alkhazraji	alkhazraji	PROPN
cuesj-730	152	6	and	and	CCONJ
cuesj-730	152	7	s.	s.	PROPN
cuesj-730	152	8	j.	j.	PROPN
cuesj-730	152	9	ismail	ismail	PROPN
cuesj-730	152	10	.	.	PUNCT
cuesj-730	153	1	restoring	restore	VERB
cuesj-730	153	2	the	the	DET
cuesj-730	153	3	iraqi	iraqi	ADJ
cuesj-730	153	4	transmission	transmission	NOUN
cuesj-730	153	5	network	network	NOUN
cuesj-730	153	6	using	use	VERB
cuesj-730	153	7	k	k	ADV
cuesj-730	153	8	-	-	ADJ
cuesj-730	153	9	shortest	short	ADJ
cuesj-730	153	10	path	path	NOUN
cuesj-730	153	11	algorithms	algorithm	NOUN
cuesj-730	153	12	.	.	PUNCT
cuesj-730	154	1	advances	advance	NOUN
cuesj-730	154	2	in	in	ADP
cuesj-730	154	3	natural	natural	ADJ
cuesj-730	154	4	and	and	CCONJ
cuesj-730	154	5	applied	applied	ADJ
cuesj-730	154	6	sciences	science	NOUN
cuesj-730	154	7	,	,	PUNCT
cuesj-730	154	8	vol	vol	NOUN
cuesj-730	154	9	.	.	PROPN
cuesj-730	154	10	11	11	NUM
cuesj-730	154	11	,	,	PUNCT
cuesj-730	154	12	no	no	INTJ
cuesj-730	154	13	.	.	NOUN
cuesj-730	154	14	4	4	NUM
cuesj-730	154	15	,	,	PUNCT
cuesj-730	154	16	pp	pp	ADJ
cuesj-730	154	17	.	.	PUNCT
cuesj-730	155	1	146	146	NUM
cuesj-730	155	2	-	-	SYM
cuesj-730	155	3	158	158	NUM
cuesj-730	155	4	,	,	PUNCT
cuesj-730	155	5	2017	2017	NUM
cuesj-730	155	6	.	.	PUNCT
cuesj-730	156	1	9	9	NUM
cuesj-730	156	2	.	.	PUNCT
cuesj-730	156	3	h.	h.	PROPN
cuesj-730	156	4	f.	f.	PROPN
cuesj-730	156	5	hasan	hasan	PROPN
cuesj-730	156	6	,	,	PUNCT
cuesj-730	156	7	a.	a.	PROPN
cuesj-730	156	8	a.	a.	PROPN
cuesj-730	156	9	mahdi	mahdi	PROPN
cuesj-730	156	10	and	and	CCONJ
cuesj-730	156	11	m.	m.	PROPN
cuesj-730	156	12	nat	nat	PROPN
cuesj-730	156	13	.	.	PUNCT
cuesj-730	157	1	a	a	DET
cuesj-730	157	2	recommendation	recommendation	NOUN
cuesj-730	157	3	of	of	ADP
cuesj-730	157	4	information	information	NOUN
cuesj-730	157	5	system	system	NOUN
cuesj-730	157	6	implementation	implementation	NOUN
cuesj-730	157	7	to	to	PART
cuesj-730	157	8	support	support	VERB
cuesj-730	157	9	decision	decision	NOUN
cuesj-730	157	10	-	-	PUNCT
cuesj-730	157	11	making	make	VERB
cuesj-730	157	12	process	process	NOUN
cuesj-730	157	13	of	of	ADP
cuesj-730	157	14	top	top	ADJ
cuesj-730	157	15	management	management	NOUN
cuesj-730	157	16	.	.	PUNCT
cuesj-730	158	1	in	in	ADP
cuesj-730	158	2	:	:	PUNCT
cuesj-730	158	3	proceedings	proceeding	NOUN
cuesj-730	158	4	of	of	ADP
cuesj-730	158	5	the	the	DET
cuesj-730	158	6	international	international	ADJ
cuesj-730	158	7	conference	conference	NOUN
cuesj-730	158	8	on	on	ADP
cuesj-730	158	9	bioinformatics	bioinformatics	NOUN
cuesj-730	158	10	and	and	CCONJ
cuesj-730	158	11	computational	computational	ADJ
cuesj-730	158	12	intelligence	intelligence	NOUN
cuesj-730	158	13	,	,	PUNCT
cuesj-730	158	14	2017	2017	NUM
cuesj-730	158	15	.	.	PUNCT
cuesj-730	159	1	10	10	NUM
cuesj-730	159	2	.	.	PUNCT
cuesj-730	160	1	c.	c.	PROPN
cuesj-730	160	2	yang	yang	PROPN
cuesj-730	160	3	and	and	CCONJ
cuesj-730	160	4	k.	k.	PROPN
cuesj-730	160	5	y.	y.	PROPN
cuesj-730	160	6	szeto	szeto	PROPN
cuesj-730	160	7	.	.	PUNCT
cuesj-730	161	1	solving	solve	VERB
cuesj-730	161	2	the	the	DET
cuesj-730	161	3	traveling	travel	VERB
cuesj-730	161	4	salesman	salesman	ADJ
cuesj-730	161	5	problem	problem	NOUN
cuesj-730	161	6	with	with	ADP
cuesj-730	161	7	a	a	DET
cuesj-730	161	8	multi	multi	ADJ
cuesj-730	161	9	-	-	ADJ
cuesj-730	161	10	agent	agent	ADJ
cuesj-730	161	11	system	system	NOUN
cuesj-730	161	12	.	.	PUNCT
cuesj-730	162	1	2019	2019	NUM
cuesj-730	162	2	ieee	ieee	PROPN
cuesj-730	162	3	congress	congress	PROPN
cuesj-730	162	4	on	on	ADP
cuesj-730	162	5	evolutionary	evolutionary	ADJ
cuesj-730	162	6	computation	computation	NOUN
cuesj-730	162	7	(	(	PUNCT
cuesj-730	162	8	cec	cec	PROPN
cuesj-730	162	9	)	)	PUNCT
cuesj-730	162	10	,	,	PUNCT
cuesj-730	162	11	2019	2019	NUM
cuesj-730	162	12	,	,	PUNCT
cuesj-730	162	13	pp	pp	ADJ
cuesj-730	162	14	.	.	PUNCT
cuesj-730	163	1	158	158	NUM
cuesj-730	163	2	-	-	SYM
cuesj-730	163	3	165	165	NUM
cuesj-730	163	4	.	.	PUNCT
cuesj-730	164	1	11	11	NUM
cuesj-730	164	2	.	.	PUNCT
cuesj-730	165	1	y.	y.	PROPN
cuesj-730	165	2	huang	huang	PROPN
cuesj-730	165	3	,	,	PUNCT
cuesj-730	165	4	j.	j.	PROPN
cuesj-730	165	5	c.	c.	PROPN
cuesj-730	165	6	ying	ying	PROPN
cuesj-730	165	7	,	,	PUNCT
cuesj-730	165	8	p.	p.	PROPN
cuesj-730	165	9	s.	s.	PROPN
cuesj-730	165	10	yu	yu	PROPN
cuesj-730	165	11	and	and	CCONJ
cuesj-730	165	12	v.	v.	ADP
cuesj-730	165	13	tseng	tseng	PROPN
cuesj-730	165	14	.	.	PUNCT
cuesj-730	166	1	dynamic	dynamic	ADJ
cuesj-730	166	2	graph	graph	NOUN
cuesj-730	166	3	mining	mining	NOUN
cuesj-730	166	4	for	for	ADP
cuesj-730	166	5	multi	multi	ADJ
cuesj-730	166	6	-	-	ADJ
cuesj-730	166	7	weight	weight	ADJ
cuesj-730	166	8	multi	multi	ADJ
cuesj-730	166	9	-	-	ADJ
cuesj-730	166	10	destination	destination	ADJ
cuesj-730	166	11	route	route	NOUN
cuesj-730	166	12	planning	plan	VERB
cuesj-730	166	13	with	with	ADP
cuesj-730	166	14	deadlines	deadline	NOUN
cuesj-730	166	15	constraints	constraint	NOUN
cuesj-730	166	16	.	.	PUNCT
cuesj-730	167	1	acm	acm	PROPN
cuesj-730	167	2	transactions	transaction	NOUN
cuesj-730	167	3	on	on	ADP
cuesj-730	167	4	knowledge	knowledge	NOUN
cuesj-730	167	5	discovery	discovery	NOUN
cuesj-730	167	6	from	from	ADP
cuesj-730	167	7	data	data	PROPN
cuesj-730	167	8	,	,	PUNCT
cuesj-730	167	9	vol	vol	NOUN
cuesj-730	167	10	.	.	PROPN
cuesj-730	167	11	15	15	NUM
cuesj-730	167	12	,	,	PUNCT
cuesj-730	167	13	no	no	INTJ
cuesj-730	167	14	.	.	NOUN
cuesj-730	167	15	1	1	NUM
cuesj-730	167	16	,	,	PUNCT
cuesj-730	167	17	pp	pp	ADJ
cuesj-730	167	18	.	.	PUNCT
cuesj-730	168	1	1	1	NUM
cuesj-730	168	2	-	-	SYM
cuesj-730	168	3	32	32	NUM
cuesj-730	168	4	,	,	PUNCT
cuesj-730	168	5	2021	2021	NUM
cuesj-730	168	6	.	.	PUNCT
cuesj-730	169	1	12	12	NUM
cuesj-730	169	2	.	.	PUNCT
cuesj-730	170	1	s.	s.	PROPN
cuesj-730	170	2	kumar	kumar	PROPN
cuesj-730	170	3	,	,	PUNCT
cuesj-730	170	4	v.	v.	PROPN
cuesj-730	170	5	kumar	kumar	PROPN
cuesj-730	170	6	-	-	PUNCT
cuesj-730	170	7	solanki	solanki	PROPN
cuesj-730	170	8	,	,	PUNCT
cuesj-730	170	9	s.	s.	PROPN
cuesj-730	170	10	k.	k.	PROPN
cuesj-730	170	11	choudhary	choudhary	PROPN
cuesj-730	170	12	,	,	PUNCT
cuesj-730	170	13	a.	a.	PROPN
cuesj-730	170	14	selamat	selamat	PROPN
cuesj-730	170	15	and	and	CCONJ
cuesj-730	170	16	r.	r.	PROPN
cuesj-730	170	17	gonzález	gonzález	PROPN
cuesj-730	170	18	-	-	PUNCT
cuesj-730	170	19	crespo	crespo	PROPN
cuesj-730	170	20	.	.	PUNCT
cuesj-730	171	1	comparative	comparative	ADJ
cuesj-730	171	2	study	study	NOUN
cuesj-730	171	3	on	on	ADP
cuesj-730	171	4	ant	ant	ADJ
cuesj-730	171	5	colony	colony	NOUN
cuesj-730	171	6	optimization	optimization	NOUN
cuesj-730	171	7	(	(	PUNCT
cuesj-730	171	8	aco	aco	PROPN
cuesj-730	171	9	)	)	PUNCT
cuesj-730	171	10	and	and	CCONJ
cuesj-730	171	11	k	k	X
cuesj-730	171	12	-	-	PUNCT
cuesj-730	171	13	means	mean	VERB
cuesj-730	171	14	clustering	clustering	ADJ
cuesj-730	171	15	approaches	approach	NOUN
cuesj-730	171	16	for	for	ADP
cuesj-730	171	17	jobs	job	NOUN
cuesj-730	171	18	scheduling	scheduling	NOUN
cuesj-730	171	19	and	and	CCONJ
cuesj-730	171	20	energy	energy	NOUN
cuesj-730	171	21	optimization	optimization	NOUN
cuesj-730	171	22	model	model	NOUN
cuesj-730	171	23	in	in	ADP
cuesj-730	171	24	internet	internet	NOUN
cuesj-730	171	25	of	of	ADP
cuesj-730	171	26	things	thing	NOUN
cuesj-730	171	27	(	(	PUNCT
cuesj-730	171	28	iot	iot	NOUN
cuesj-730	171	29	)	)	PUNCT
cuesj-730	171	30	.	.	PUNCT
cuesj-730	172	1	international	international	ADJ
cuesj-730	172	2	journal	journal	PROPN
cuesj-730	172	3	of	of	ADP
cuesj-730	172	4	interactive	interactive	ADJ
cuesj-730	172	5	multimedia	multimedia	NOUN
cuesj-730	172	6	and	and	CCONJ
cuesj-730	172	7	artificial	artificial	ADJ
cuesj-730	172	8	intelligence	intelligence	NOUN
cuesj-730	172	9	,	,	PUNCT
cuesj-730	172	10	vol	vol	NOUN
cuesj-730	172	11	.	.	PROPN
cuesj-730	172	12	6	6	NUM
cuesj-730	172	13	,	,	PUNCT
cuesj-730	172	14	no	no	INTJ
cuesj-730	172	15	.	.	NOUN
cuesj-730	172	16	1	1	NUM
cuesj-730	172	17	,	,	PUNCT
cuesj-730	172	18	2020	2020	NUM
cuesj-730	172	19	.	.	PUNCT
cuesj-730	173	1	13	13	NUM
cuesj-730	173	2	.	.	PUNCT
cuesj-730	174	1	h.	h.	PROPN
cuesj-730	174	2	zhuang	zhuang	PROPN
cuesj-730	174	3	,	,	PUNCT
cuesj-730	174	4	k.	k.	PROPN
cuesj-730	174	5	dong	dong	PROPN
cuesj-730	174	6	,	,	PUNCT
cuesj-730	174	7	y.	y.	PROPN
cuesj-730	174	8	qi	qi	PROPN
cuesj-730	174	9	,	,	PUNCT
cuesj-730	174	10	n.	n.	PROPN
cuesj-730	174	11	wang	wang	PROPN
cuesj-730	174	12	and	and	CCONJ
cuesj-730	174	13	l.	l.	PROPN
cuesj-730	174	14	dong	dong	PROPN
cuesj-730	174	15	.	.	PUNCT
cuesj-730	175	1	multi	multi	ADJ
cuesj-730	175	2	-	-	ADJ
cuesj-730	175	3	destination	destination	ADJ
cuesj-730	175	4	path	path	NOUN
cuesj-730	175	5	planning	planning	NOUN
cuesj-730	175	6	method	method	NOUN
cuesj-730	175	7	research	research	NOUN
cuesj-730	175	8	of	of	ADP
cuesj-730	175	9	mobile	mobile	ADJ
cuesj-730	175	10	robots	robot	NOUN
cuesj-730	175	11	based	base	VERB
cuesj-730	175	12	on	on	ADP
cuesj-730	175	13	goal	goal	NOUN
cuesj-730	175	14	of	of	ADP
cuesj-730	175	15	passing	pass	VERB
cuesj-730	175	16	through	through	ADP
cuesj-730	175	17	the	the	DET
cuesj-730	175	18	fewest	few	ADJ
cuesj-730	175	19	obstacles	obstacle	NOUN
cuesj-730	175	20	.	.	PUNCT
cuesj-730	176	1	applied	apply	VERB
cuesj-730	176	2	science	science	NOUN
cuesj-730	176	3	,	,	PUNCT
cuesj-730	176	4	vol	vol	NOUN
cuesj-730	176	5	.	.	PROPN
cuesj-730	176	6	11	11	NUM
cuesj-730	176	7	,	,	PUNCT
cuesj-730	176	8	p.	p.	NOUN
cuesj-730	176	9	7378	7378	NUM
cuesj-730	176	10	,	,	PUNCT
cuesj-730	176	11	2021	2021	NUM
cuesj-730	176	12	.	.	PUNCT
cuesj-730	177	1	14	14	NUM
cuesj-730	177	2	.	.	PUNCT
cuesj-730	177	3	m.	m.	NOUN
cuesj-730	177	4	asaduzzaman	asaduzzaman	NOUN
cuesj-730	177	5	,	,	PUNCT
cuesj-730	177	6	t.	t.	PROPN
cuesj-730	177	7	k.	k.	PROPN
cuesj-730	177	8	geok	geok	PROPN
cuesj-730	177	9	,	,	PUNCT
cuesj-730	177	10	f.	f.	PROPN
cuesj-730	177	11	hossain	hossain	PROPN
cuesj-730	177	12	,	,	PUNCT
cuesj-730	177	13	s.	s.	PROPN
cuesj-730	177	14	sayeed	sayeed	PROPN
cuesj-730	177	15	,	,	PUNCT
cuesj-730	177	16	a.	a.	PROPN
cuesj-730	177	17	abdaziz	abdaziz	PROPN
cuesj-730	177	18	,	,	PUNCT
cuesj-730	177	19	h.	h.	PROPN
cuesj-730	177	20	y.	y.	PROPN
cuesj-730	177	21	wong	wong	PROPN
cuesj-730	177	22	,	,	PUNCT
cuesj-730	177	23	c.	c.	PROPN
cuesj-730	177	24	p.	p.	PROPN
cuesj-730	177	25	tso	tso	PROPN
cuesj-730	177	26	,	,	PUNCT
cuesj-730	177	27	s.	s.	PROPN
cuesj-730	177	28	ahmed	ahmed	PROPN
cuesj-730	177	29	and	and	CCONJ
cuesj-730	177	30	b.	b.	PROPN
cuesj-730	177	31	a.	a.	PROPN
cuesj-730	177	32	bari	bari	PROPN
cuesj-730	177	33	.	.	PUNCT
cuesj-730	178	1	an	an	DET
cuesj-730	178	2	efficient	efficient	ADJ
cuesj-730	178	3	shortest	short	ADJ
cuesj-730	178	4	path	path	NOUN
cuesj-730	178	5	algorithm	algorithm	NOUN
cuesj-730	178	6	:	:	PUNCT
cuesj-730	178	7	multi	multi	NOUN
cuesj-730	178	8	-	-	NOUN
cuesj-730	178	9	destinations	destination	NOUN
cuesj-730	178	10	in	in	ADP
cuesj-730	178	11	an	an	DET
cuesj-730	178	12	indoor	indoor	ADJ
cuesj-730	178	13	environment	environment	NOUN
cuesj-730	178	14	.	.	PUNCT
cuesj-730	179	1	symmetry	symmetry	NOUN
cuesj-730	179	2	,	,	PUNCT
cuesj-730	179	3	vol	vol	NOUN
cuesj-730	179	4	.	.	PROPN
cuesj-730	179	5	13	13	NUM
cuesj-730	179	6	,	,	PUNCT
cuesj-730	179	7	p.	p.	NOUN
cuesj-730	179	8	421	421	NUM
cuesj-730	179	9	,	,	PUNCT
cuesj-730	179	10	2021	2021	NUM
cuesj-730	179	11	.	.	PUNCT
cuesj-730	180	1	15	15	NUM
cuesj-730	180	2	.	.	PUNCT
cuesj-730	180	3	a.	a.	PROPN
cuesj-730	180	4	hakeem	hakeem	PROPN
cuesj-730	180	5	,	,	PUNCT
cuesj-730	180	6	n.	n.	PROPN
cuesj-730	180	7	gehani	gehani	PROPN
cuesj-730	180	8	,	,	PUNCT
cuesj-730	180	9	x.	x.	PROPN
cuesj-730	180	10	ding	ding	PROPN
cuesj-730	180	11	,	,	PUNCT
cuesj-730	180	12	r.	r.	PROPN
cuesj-730	180	13	curtmola	curtmola	PROPN
cuesj-730	180	14	and	and	CCONJ
cuesj-730	180	15	c.	c.	PROPN
cuesj-730	180	16	borcea	borcea	PROPN
cuesj-730	180	17	.	.	PUNCT
cuesj-730	181	1	multi	multi	ADJ
cuesj-730	181	2	-	-	ADJ
cuesj-730	181	3	destination	destination	ADJ
cuesj-730	181	4	vehicular	vehicular	ADJ
cuesj-730	181	5	route	route	NOUN
cuesj-730	181	6	planning	plan	VERB
cuesj-730	181	7	with	with	ADP
cuesj-730	181	8	parking	parking	NOUN
cuesj-730	181	9	and	and	CCONJ
cuesj-730	181	10	traffic	traffic	NOUN
cuesj-730	181	11	constraints	constraint	NOUN
cuesj-730	181	12	.	.	PUNCT
cuesj-730	182	1	in	in	ADP
cuesj-730	182	2	:	:	PUNCT
cuesj-730	182	3	mobiquitous	mobiquitous	ADJ
cuesj-730	182	4	19	19	NUM
cuesj-730	182	5	:	:	PUNCT
cuesj-730	182	6	proceedings	proceeding	NOUN
cuesj-730	182	7	of	of	ADP
cuesj-730	182	8	the	the	DET
cuesj-730	182	9	16th	16th	ADJ
cuesj-730	182	10	eai	eai	PROPN
cuesj-730	182	11	international	international	ADJ
cuesj-730	182	12	conference	conference	NOUN
cuesj-730	182	13	on	on	ADP
cuesj-730	182	14	mobile	mobile	ADJ
cuesj-730	182	15	and	and	CCONJ
cuesj-730	182	16	ubiquitous	ubiquitous	ADJ
cuesj-730	182	17	systems	system	NOUN
cuesj-730	182	18	:	:	PUNCT
cuesj-730	182	19	computing	computing	NOUN
cuesj-730	182	20	,	,	PUNCT
cuesj-730	182	21	networking	networking	NOUN
cuesj-730	182	22	and	and	CCONJ
cuesj-730	182	23	services	service	NOUN
cuesj-730	182	24	.	.	PUNCT
cuesj-730	183	1	pp	pp	ADV
cuesj-730	183	2	.	.	PUNCT
cuesj-730	184	1	298	298	NUM
cuesj-730	184	2	-	-	SYM
cuesj-730	184	3	307	307	NUM
cuesj-730	184	4	,	,	PUNCT
cuesj-730	184	5	2019	2019	NUM
cuesj-730	184	6	.	.	PUNCT
cuesj-730	185	1	16	16	NUM
cuesj-730	185	2	.	.	PUNCT
cuesj-730	186	1	e.	e.	PROPN
cuesj-730	186	2	h.	h.	PROPN
cuesj-730	186	3	c.	c.	PROPN
cuesj-730	186	4	lu	lu	PROPN
cuesj-730	186	5	,	,	PUNCT
cuesj-730	186	6	w.	w.	PROPN
cuesj-730	186	7	lee	lee	PROPN
cuesj-730	186	8	and	and	CCONJ
cuesj-730	186	9	v.	v.	ADP
cuesj-730	186	10	tseng	tseng	PROPN
cuesj-730	186	11	.	.	PUNCT
cuesj-730	187	1	mining	mining	NOUN
cuesj-730	187	2	fastest	fast	ADJ
cuesj-730	187	3	path	path	NOUN
cuesj-730	187	4	from	from	ADP
cuesj-730	187	5	trajectories	trajectory	NOUN
cuesj-730	187	6	with	with	ADP
cuesj-730	187	7	multiple	multiple	ADJ
cuesj-730	187	8	destinations	destination	NOUN
cuesj-730	187	9	in	in	ADP
cuesj-730	187	10	road	road	NOUN
cuesj-730	187	11	networks	network	NOUN
cuesj-730	187	12	.	.	PUNCT
cuesj-730	188	1	knowledge	knowledge	NOUN
cuesj-730	188	2	and	and	CCONJ
cuesj-730	188	3	information	information	NOUN
cuesj-730	188	4	systems	system	NOUN
cuesj-730	188	5	,	,	PUNCT
cuesj-730	188	6	vol	vol	NOUN
cuesj-730	188	7	.	.	PROPN
cuesj-730	188	8	29	29	NUM
cuesj-730	188	9	,	,	PUNCT
cuesj-730	188	10	no	no	INTJ
cuesj-730	188	11	.	.	NOUN
cuesj-730	189	1	1	1	X
cuesj-730	189	2	.	.	X
cuesj-730	190	1	pp	pp	ADJ
cuesj-730	190	2	.	.	PUNCT
cuesj-730	191	1	25	25	NUM
cuesj-730	191	2	-	-	SYM
cuesj-730	191	3	53	53	NUM
cuesj-730	191	4	.	.	PUNCT
cuesj-730	192	1	2011	2011	NUM
cuesj-730	192	2	.	.	PUNCT
cuesj-730	193	1	17	17	NUM
cuesj-730	193	2	.	.	PUNCT
cuesj-730	193	3	available	available	ADJ
cuesj-730	193	4	from	from	ADP
cuesj-730	193	5	:	:	PUNCT
cuesj-730	193	6	https://en.wikipedia.org/wiki/google_maps	https://en.wikipedia.org/wiki/google_map	NOUN
cuesj-730	194	1	[	[	X
cuesj-730	194	2	last	last	ADV
cuesj-730	194	3	accessed	access	VERB
cuesj-730	194	4	on	on	ADP
cuesj-730	194	5	2022	2022	NUM
cuesj-730	194	6	feb	feb	NOUN
cuesj-730	194	7	01	01	NUM
cuesj-730	194	8	]	]	PUNCT
cuesj-730	194	9	.	.	PUNCT
cuesj-730	195	1	18	18	NUM
cuesj-730	195	2	.	.	PUNCT
cuesj-730	195	3	a.	a.	NOUN
cuesj-730	195	4	m.	m.	NOUN
cuesj-730	195	5	luthfi	luthfi	PROPN
cuesj-730	195	6	,	,	PUNCT
cuesj-730	195	7	n.	n.	PROPN
cuesj-730	195	8	karna	karna	PROPN
cuesj-730	195	9	and	and	CCONJ
cuesj-730	195	10	r.	r.	PROPN
cuesj-730	195	11	mayasari	mayasari	PROPN
cuesj-730	195	12	.	.	PUNCT
cuesj-730	196	1	google	google	PROPN
cuesj-730	196	2	maps	maps	PROPN
cuesj-730	196	3	api	api	NOUN
cuesj-730	196	4	implementation	implementation	NOUN
cuesj-730	196	5	on	on	ADP
cuesj-730	196	6	iot	iot	ADJ
cuesj-730	196	7	platform	platform	NOUN
cuesj-730	196	8	for	for	ADP
cuesj-730	196	9	tracking	track	VERB
cuesj-730	196	10	an	an	DET
cuesj-730	196	11	object	object	NOUN
cuesj-730	196	12	using	use	VERB
cuesj-730	196	13	gps	gps	PROPN
cuesj-730	196	14	.	.	PUNCT
cuesj-730	197	1	in	in	ADP
cuesj-730	197	2	:	:	PUNCT
cuesj-730	197	3	2019	2019	NUM
cuesj-730	197	4	ieee	ieee	NOUN
cuesj-730	197	5	asia	asia	PROPN
cuesj-730	197	6	pacific	pacific	PROPN
cuesj-730	197	7	conference	conference	PROPN
cuesj-730	197	8	on	on	ADP
cuesj-730	197	9	wireless	wireless	NOUN
cuesj-730	197	10	and	and	CCONJ
cuesj-730	197	11	mobile	mobile	ADJ
cuesj-730	197	12	(	(	PUNCT
cuesj-730	197	13	apwimob	apwimob	NOUN
cuesj-730	197	14	)	)	PUNCT
cuesj-730	197	15	.	.	PUNCT
cuesj-730	198	1	2019	2019	NUM
cuesj-730	198	2	.	.	X
cuesj-730	199	1	19	19	NUM
cuesj-730	199	2	.	.	PUNCT
cuesj-730	199	3	available	available	ADJ
cuesj-730	199	4	from	from	ADP
cuesj-730	199	5	:	:	PUNCT
cuesj-730	199	6	https://www.google.com/maps	https://www.google.com/map	NOUN
cuesj-730	200	1	[	[	X
cuesj-730	200	2	last	last	ADV
cuesj-730	200	3	accessed	access	VERB
cuesj-730	200	4	on	on	ADP
cuesj-730	200	5	2022	2022	NUM
cuesj-730	200	6	feb	feb	NOUN
cuesj-730	200	7	01	01	NUM
cuesj-730	200	8	]	]	PUNCT
cuesj-730	200	9	.	.	PUNCT