{"id":"https://openalex.org/W3008642270","doi":"https://doi.org/10.1109/ssci44817.2019.9003009","title":"An Improved Ant Colony Optimization Algorithm Based on Fractional Order Memory for Traveling Salesman Problems","display_name":"An Improved Ant Colony Optimization Algorithm Based on Fractional Order Memory for Traveling Salesman Problems","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008642270","doi":"https://doi.org/10.1109/ssci44817.2019.9003009","mag":"3008642270"},"language":"en","primary_location":{"id":"doi:10.1109/ssci44817.2019.9003009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9003009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"article","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/A5101188772","display_name":"Xiaoling Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Gong","raw_affiliation_strings":["College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075969327","display_name":"Ziheng Rong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziheng Rong","raw_affiliation_strings":["College of Science, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738068","display_name":"Tao Gao","orcid":"https://orcid.org/0000-0002-5547-7370"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Gao","raw_affiliation_strings":["College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101890639","display_name":"Yi\u2010Fei Pu","orcid":"https://orcid.org/0000-0003-2975-4976"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Pu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100696824","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0002-4316-932X"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["College of Science, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.723,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.797833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2019","issue":null,"first_page":"1516","last_page":"1522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9821000099182129,"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"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.750924289226532},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.7353900671005249},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6348504424095154},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5621476173400879},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5356146097183228},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5193589925765991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5071430206298828},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.44683295488357544},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.4141429364681244},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36494001746177673}],"concepts":[{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.750924289226532},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.7353900671005249},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6348504424095154},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5621476173400879},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5356146097183228},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5193589925765991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5071430206298828},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.44683295488357544},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4141429364681244},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36494001746177673},{"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/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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/ssci44817.2019.9003009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9003009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"mag:3040832438","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002241757616406","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1530054495","https://openalex.org/W1801849579","https://openalex.org/W1964373220","https://openalex.org/W1969186119","https://openalex.org/W1976595943","https://openalex.org/W1984606190","https://openalex.org/W1985438383","https://openalex.org/W2011039300","https://openalex.org/W2027486685","https://openalex.org/W2034948711","https://openalex.org/W2036258737","https://openalex.org/W2106972943","https://openalex.org/W2107631366","https://openalex.org/W2140481494","https://openalex.org/W2154929945","https://openalex.org/W2164866963","https://openalex.org/W2297395784","https://openalex.org/W2344461756","https://openalex.org/W2421912678","https://openalex.org/W2555005230","https://openalex.org/W2589174422","https://openalex.org/W2619999675","https://openalex.org/W2869396925","https://openalex.org/W2914383303","https://openalex.org/W2915062141","https://openalex.org/W6631654290","https://openalex.org/W6697634807"],"related_works":["https://openalex.org/W4385871958","https://openalex.org/W1611875833","https://openalex.org/W4245157707","https://openalex.org/W1997193297","https://openalex.org/W1547053391","https://openalex.org/W2908391583","https://openalex.org/W2369428395","https://openalex.org/W1521781013","https://openalex.org/W2981400081","https://openalex.org/W1975009952"],"abstract_inverted_index":{"Ant":[0,43],"Colony":[1,44],"Optimization":[2,45],"(ACO)":[3],"algorithm":[4,26,46,75,94,109,127,138],"has":[5],"a":[6,58,100,153],"wide":[7],"array":[8],"of":[9,24,70,79,92,99,106,155],"applications":[10],"to":[11,133],"solve":[12],"combinatorial":[13],"optimization":[14],"problems,":[15],"especially":[16],"Traveling":[17],"Salesman":[18],"Problems":[19],"(TSPs).":[20],"The":[21,63,104],"major":[22],"limitations":[23],"ACO":[25],"are":[27],"premature":[28],"convergence,":[29],"the":[30,35,68,74,80,84,89,93,97,107,117,123,134,145,150,165,170],"possibility":[31],"that":[32,159],"trapped":[33],"in":[34],"local":[36],"optima.":[37],"In":[38],"this":[39],"paper,":[40],"an":[41],"improved":[42],"is":[47,110],"proposed":[48,108,166],"which":[49],"uses":[50],"fractional":[51,64,141],"order":[52,65,126,142],"difference":[53,66,143],"for":[54],"pheromone":[55],"updating":[56],"and":[57,83,128],"weighted":[59],"combined":[60,85],"transition":[61,86],"probability.":[62],"with":[67,122,161,176],"characteristic":[69],"long-term":[71],"memory":[72],"helps":[73],"make":[76],"full":[77],"use":[78],"historical":[81],"information,":[82],"probability":[87],"enhances":[88],"exploration":[90],"ability":[91],"by":[95],"using":[96],"information":[98],"few":[101],"steps":[102],"forward.":[103],"performance":[105],"tested":[111],"on":[112,140,152,173],"various":[113],"data":[114],"sets":[115],"from":[116],"standard":[118],"TSP":[119,156],"Library":[120],"compared":[121,160],"corresponding":[124],"integer":[125,147],"some":[129],"evolutionary":[130,163],"algorithms.":[131],"According":[132],"empirical":[135],"results,":[136],"our":[137],"based":[139],"overcomes":[144],"classic":[146],"order.":[148],"Furthermore,":[149],"results":[151],"number":[154],"instances":[157,175],"demonstrate":[158],"other":[162],"algorithms,":[164],"method":[167],"can":[168],"obtain":[169],"better":[171],"solutions":[172],"most":[174],"stronger":[177],"robustness.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
