{"id":"https://openalex.org/W3120555967","doi":"https://doi.org/10.1109/cdc42340.2020.9303775","title":"Agent-based Self-organized Constructive Heuristics for Travelling Salesman Problem","display_name":"Agent-based Self-organized Constructive Heuristics for Travelling Salesman Problem","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3120555967","doi":"https://doi.org/10.1109/cdc42340.2020.9303775","mag":"3120555967"},"language":"en","primary_location":{"id":"doi:10.1109/cdc42340.2020.9303775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc42340.2020.9303775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 59th IEEE Conference on Decision and Control (CDC)","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/A5024568527","display_name":"Sai Lu","orcid":"https://orcid.org/0000-0002-1548-2968"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sai Lu","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020307082","display_name":"Bin Xin","orcid":"https://orcid.org/0000-0001-9989-0418"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Xin","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069635843","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0001-5598-9926"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333005","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0003-2449-9793"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024568527"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.5302,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74112286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1164","last_page":"1169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9968000054359436,"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":0.9968000054359436,"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":0.9952999949455261,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9686999917030334,"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/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.7527855634689331},{"id":"https://openalex.org/keywords/constructive","display_name":"Constructive","score":0.7358978390693665},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7327308058738708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6366611123085022},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5272323489189148},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4963224530220032},{"id":"https://openalex.org/keywords/combinatorial-optimization","display_name":"Combinatorial optimization","score":0.4412466883659363},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.42841532826423645},{"id":"https://openalex.org/keywords/bottleneck-traveling-salesman-problem","display_name":"Bottleneck traveling salesman problem","score":0.41837409138679504},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.41409921646118164},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4137302041053772},{"id":"https://openalex.org/keywords/constructive-proof","display_name":"Constructive proof","score":0.413131445646286},{"id":"https://openalex.org/keywords/2-opt","display_name":"2-opt","score":0.4126274585723877},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35668426752090454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32965531945228577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30628466606140137},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29295945167541504},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.14581218361854553},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.10221928358078003}],"concepts":[{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.7527855634689331},{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.7358978390693665},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7327308058738708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6366611123085022},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5272323489189148},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4963224530220032},{"id":"https://openalex.org/C52692508","wikidata":"https://www.wikidata.org/wiki/Q1333872","display_name":"Combinatorial optimization","level":2,"score":0.4412466883659363},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.42841532826423645},{"id":"https://openalex.org/C7668213","wikidata":"https://www.wikidata.org/wiki/Q4949085","display_name":"Bottleneck traveling salesman problem","level":3,"score":0.41837409138679504},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.41409921646118164},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4137302041053772},{"id":"https://openalex.org/C202854965","wikidata":"https://www.wikidata.org/wiki/Q3044470","display_name":"Constructive proof","level":2,"score":0.413131445646286},{"id":"https://openalex.org/C106472803","wikidata":"https://www.wikidata.org/wiki/Q291440","display_name":"2-opt","level":3,"score":0.4126274585723877},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35668426752090454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32965531945228577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30628466606140137},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29295945167541504},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.14581218361854553},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.10221928358078003},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc42340.2020.9303775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc42340.2020.9303775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 59th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1989307874","https://openalex.org/W2003746847","https://openalex.org/W2017708378","https://openalex.org/W2037166173","https://openalex.org/W2073487751","https://openalex.org/W2101753085","https://openalex.org/W2123535404","https://openalex.org/W2160325770","https://openalex.org/W2164313740","https://openalex.org/W2654694421","https://openalex.org/W2779455732","https://openalex.org/W2794878305","https://openalex.org/W2905321185","https://openalex.org/W2913106923","https://openalex.org/W2941130447","https://openalex.org/W6683653265","https://openalex.org/W6747132614"],"related_works":["https://openalex.org/W4389782626","https://openalex.org/W4376138746","https://openalex.org/W2359992618","https://openalex.org/W2946024655","https://openalex.org/W4246557197","https://openalex.org/W2758988501","https://openalex.org/W3013791021","https://openalex.org/W2146364482","https://openalex.org/W1604040598","https://openalex.org/W2099174039"],"abstract_inverted_index":{"Travelling":[0],"salesman":[1],"problem":[2,9,29],"(TSP)":[3],"is":[4],"a":[5,13,63],"classic":[6],"combinatorial":[7],"optimization":[8,17],"and":[10,27,37,87,101,104,122],"has":[11],"become":[12],"touchstone":[14],"of":[15,24,62,128],"many":[16],"algorithms.":[18,45],"Constructive":[19],"heuristics":[20],"with":[21,118],"the":[22,54,125,136],"features":[23],"low":[25],"complexity":[26],"using":[28],"knowledge":[30],"are":[31,66,80,133],"widely":[32],"used":[33],"in":[34],"online":[35],"decision-making":[36],"can":[38],"provide":[39],"high-quality":[40],"initial":[41],"solution":[42,65],"for":[43,131],"iteration":[44],"In":[46],"this":[47],"paper,":[48],"from":[49,57],"an":[50],"agent-based":[51,75],"self-organization":[52],"perspective,":[53],"constructive":[55,71,76,91],"processes":[56],"nodes":[58],"to":[59,109],"Hamiltonian":[60],"graph":[61],"feasible":[64,112],"studied.":[67],"Based":[68],"on":[69,99],"different":[70,95],"processes,":[72],"three":[73],"novel":[74],"heuristic":[77,92],"methods":[78,93],"(ACHMs)":[79],"proposed,":[81],"including":[82],"multi-nodes-based":[83],"ACHM,":[84],"loop-based":[85],"ACHM":[86],"multi-loop-based":[88],"ACHM.":[89],"These":[90],"build":[94],"agent":[96,107],"models":[97],"based":[98],"node":[100],"loop":[102],"respectively,":[103],"set":[105],"varied":[106],"actions":[108],"make":[110],"global":[111],"solutions":[113],"emerge":[114],"gradually.":[115],"Finally,":[116],"compared":[117],"nearest":[119],"neighbor":[120],"algorithm":[121],"self-organizing":[123],"mapping,":[124],"better":[126],"performances":[127],"these":[129],"algorithms":[130],"TSP":[132],"verified":[134],"by":[135],"computational":[137],"experiments.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}