{"id":"https://openalex.org/W2997616732","doi":"https://doi.org/10.1109/icis46139.2019.8940186","title":"Research on TSP Solution Based on Genetic Algorithm","display_name":"Research on TSP Solution Based on Genetic Algorithm","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2997616732","doi":"https://doi.org/10.1109/icis46139.2019.8940186","mag":"2997616732"},"language":"en","primary_location":{"id":"doi:10.1109/icis46139.2019.8940186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis46139.2019.8940186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ACIS 18th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100448618","display_name":"Rui Liu","orcid":"https://orcid.org/0000-0003-1973-6168"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Liu","raw_affiliation_strings":["Key Laboratory of Convergent Media and Intelligent Technology (Communication University of China), Ministry of Education Communication University of China, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Convergent Media and Intelligent Technology (Communication University of China), Ministry of Education Communication University of China, P.R. China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100624751","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0003-0301-7222"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["School of Computer and Cybersecurity, Communication University of China, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Cybersecurity, Communication University of China, P.R. China","institution_ids":["https://openalex.org/I75689368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75689368"],"apc_list":null,"apc_paid":null,"fwci":0.328,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.62781475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2019","issue":null,"first_page":"230","last_page":"235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9484999775886536,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9424999952316284,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tournament-selection","display_name":"Tournament selection","score":0.8652431964874268},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.8303235769271851},{"id":"https://openalex.org/keywords/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.7186177372932434},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6854368448257446},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6776296496391296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6062159538269043},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5881496071815491},{"id":"https://openalex.org/keywords/genetic-operator","display_name":"Genetic operator","score":0.5602446794509888},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.5524899363517761},{"id":"https://openalex.org/keywords/population-based-incremental-learning","display_name":"Population-based incremental learning","score":0.5264621376991272},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.5092736482620239},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.49122947454452515},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4840768873691559},{"id":"https://openalex.org/keywords/cultural-algorithm","display_name":"Cultural algorithm","score":0.47353121638298035},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.43663376569747925},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4243015646934509},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.42012208700180054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2948909401893616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18427932262420654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10977715253829956}],"concepts":[{"id":"https://openalex.org/C165661538","wikidata":"https://www.wikidata.org/wiki/Q7829327","display_name":"Tournament selection","level":3,"score":0.8652431964874268},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8303235769271851},{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.7186177372932434},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6854368448257446},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6776296496391296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6062159538269043},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5881496071815491},{"id":"https://openalex.org/C9899798","wikidata":"https://www.wikidata.org/wiki/Q629399","display_name":"Genetic operator","level":4,"score":0.5602446794509888},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.5524899363517761},{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"score":0.5264621376991272},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5092736482620239},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.49122947454452515},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4840768873691559},{"id":"https://openalex.org/C5536111","wikidata":"https://www.wikidata.org/wiki/Q5193250","display_name":"Cultural algorithm","level":4,"score":0.47353121638298035},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.43663376569747925},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4243015646934509},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.42012208700180054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2948909401893616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18427932262420654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10977715253829956},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icis46139.2019.8940186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis46139.2019.8940186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ACIS 18th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"},{"id":"mag:3041655277","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002251682131865","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.550000011920929,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2008824533","https://openalex.org/W2017052626","https://openalex.org/W2017331376","https://openalex.org/W2036850861","https://openalex.org/W2143152472","https://openalex.org/W2146879413","https://openalex.org/W2787159601","https://openalex.org/W2886851039"],"related_works":["https://openalex.org/W2369480021","https://openalex.org/W2998167408","https://openalex.org/W2379101572","https://openalex.org/W2368753545","https://openalex.org/W4287846230","https://openalex.org/W2185779472","https://openalex.org/W2303982456","https://openalex.org/W178086229","https://openalex.org/W4387527001","https://openalex.org/W2187398043"],"abstract_inverted_index":{"Genetic":[0],"algorithm":[1,115],"has":[2],"been":[3],"widely":[4],"used":[5],"in":[6,30],"many":[7],"fields":[8],"because":[9],"of":[10,82,95],"its":[11],"good":[12],"global":[13],"search":[14],"capability.":[15],"In":[16],"this":[17,50],"paper,":[18],"we":[19,61,77],"mainly":[20],"introduce":[21],"the":[22,63,74,80,93,104],"research":[23],"on":[24,34],"Traveling":[25],"Salesman":[26],"Problem":[27],"(TSP)":[28],"solution":[29],"26":[31],"cities":[32],"based":[33],"genetic":[35,84,114],"algorithm.":[36],"We":[37],"adopt":[38],"tournament":[39],"selection,":[40],"order":[41],"insert":[42],"crossover":[43],"and":[44,69,101,119],"exchange":[45],"mutation":[46,71],"methods":[47],"to":[48],"solve":[49],"problem.":[51],"However,":[52],"it":[53],"does":[54],"not":[55],"perform":[56],"sufficiently":[57],"well":[58],"enough,":[59],"so":[60],"optimize":[62],"operators":[64,117],"by":[65],"using":[66],"elitist":[67],"selection":[68],"inversion":[70],"methods.":[72],"With":[73],"improved":[75],"operators,":[76],"can":[78],"prevalent":[79],"shortcomings":[81],"traditional":[83],"algorithm,":[85],"prevent":[86],"convergence":[87],"into":[88],"a":[89],"local":[90],"optimum,":[91],"guarantee":[92],"stability":[94],"population":[96],"evolution,":[97],"dismantle":[98],"cross":[99],"paths":[100],"finally":[102],"find":[103],"optimal":[105],"solution.":[106],"The":[107],"obtained":[108],"information":[109],"is":[110],"useful":[111],"for":[112],"further":[113],"parameters,":[116],"settings":[118],"practical":[120],"problems.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
