{"id":"https://openalex.org/W3093309744","doi":"https://doi.org/10.1080/01969722.2020.1827795","title":"A Competitive Mechanism Multi-Objective Particle Swarm Optimization Algorithm and Its Application to Signalized Traffic Problem","display_name":"A Competitive Mechanism Multi-Objective Particle Swarm Optimization Algorithm and Its Application to Signalized Traffic Problem","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3093309744","doi":"https://doi.org/10.1080/01969722.2020.1827795","mag":"3093309744"},"language":"en","primary_location":{"id":"doi:10.1080/01969722.2020.1827795","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969722.2020.1827795","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-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/A5011345654","display_name":"Man-Chung Yuen","orcid":"https://orcid.org/0000-0002-4637-2577"},"institutions":[{"id":"https://openalex.org/I8679417","display_name":"Hong Kong Metropolitan University","ror":"https://ror.org/0349bsm71","country_code":"HK","type":"education","lineage":["https://openalex.org/I8679417"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Man-Chung Yuen","raw_affiliation_strings":["School of Science and Technology, The Open University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-4637-2577","affiliations":[{"raw_affiliation_string":"School of Science and Technology, The Open University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I8679417"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037222502","display_name":"Sin-Chun Ng","orcid":"https://orcid.org/0000-0002-2972-530X"},"institutions":[{"id":"https://openalex.org/I8679417","display_name":"Hong Kong Metropolitan University","ror":"https://ror.org/0349bsm71","country_code":"HK","type":"education","lineage":["https://openalex.org/I8679417"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Sin-Chun Ng","raw_affiliation_strings":["School of Science and Technology, The Open University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-2972-530X","affiliations":[{"raw_affiliation_string":"School of Science and Technology, The Open University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I8679417"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054221120","display_name":"Man-Fai Leung","orcid":"https://orcid.org/0000-0002-7753-0136"},"institutions":[{"id":"https://openalex.org/I8679417","display_name":"Hong Kong Metropolitan University","ror":"https://ror.org/0349bsm71","country_code":"HK","type":"education","lineage":["https://openalex.org/I8679417"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Man-Fai Leung","raw_affiliation_strings":["School of Science and Technology, The Open University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-7753-0136","affiliations":[{"raw_affiliation_string":"School of Science and Technology, The Open University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I8679417"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5037222502","https://openalex.org/A5054221120"],"corresponding_institution_ids":["https://openalex.org/I8679417"],"apc_list":null,"apc_paid":null,"fwci":4.6913,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.95760027,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"52","issue":"1","first_page":"73","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9987999796867371,"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":0.9987999796867371,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9757000207901001,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7475572824478149},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5945544838905334},{"id":"https://openalex.org/keywords/inertia","display_name":"Inertia","score":0.5529695153236389},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.545747697353363},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.5326753854751587},{"id":"https://openalex.org/keywords/imperialist-competitive-algorithm","display_name":"Imperialist competitive algorithm","score":0.5258921980857849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5257754325866699},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5154469609260559},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2544543147087097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1740925908088684}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7475572824478149},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5945544838905334},{"id":"https://openalex.org/C110407247","wikidata":"https://www.wikidata.org/wiki/Q122508","display_name":"Inertia","level":2,"score":0.5529695153236389},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.545747697353363},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.5326753854751587},{"id":"https://openalex.org/C101219045","wikidata":"https://www.wikidata.org/wiki/Q10859646","display_name":"Imperialist competitive algorithm","level":4,"score":0.5258921980857849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5257754325866699},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5154469609260559},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2544543147087097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1740925908088684},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01969722.2020.1827795","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969722.2020.1827795","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W20499850","https://openalex.org/W114054641","https://openalex.org/W138497752","https://openalex.org/W350155834","https://openalex.org/W939691211","https://openalex.org/W1525375343","https://openalex.org/W1587294773","https://openalex.org/W1588375755","https://openalex.org/W1595498733","https://openalex.org/W1979389308","https://openalex.org/W1982632419","https://openalex.org/W1988664437","https://openalex.org/W1988698908","https://openalex.org/W1995972800","https://openalex.org/W1998661756","https://openalex.org/W2021028683","https://openalex.org/W2068411105","https://openalex.org/W2093115430","https://openalex.org/W2102365077","https://openalex.org/W2104017154","https://openalex.org/W2109364787","https://openalex.org/W2110312506","https://openalex.org/W2112912151","https://openalex.org/W2122633064","https://openalex.org/W2123485079","https://openalex.org/W2123541507","https://openalex.org/W2123808725","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2139339670","https://openalex.org/W2140882991","https://openalex.org/W2143185749","https://openalex.org/W2143245714","https://openalex.org/W2143381319","https://openalex.org/W2165171393","https://openalex.org/W2165299997","https://openalex.org/W2165831680","https://openalex.org/W2187537484","https://openalex.org/W2463564488","https://openalex.org/W2473526392","https://openalex.org/W2517564126","https://openalex.org/W2753899746","https://openalex.org/W2764251381","https://openalex.org/W2766133347","https://openalex.org/W2794734400","https://openalex.org/W2833331845","https://openalex.org/W2884351379","https://openalex.org/W2932748297","https://openalex.org/W2954914826","https://openalex.org/W2964281756","https://openalex.org/W2991836687","https://openalex.org/W2997457453","https://openalex.org/W3009558215","https://openalex.org/W4231887836","https://openalex.org/W4285719527","https://openalex.org/W4298018660","https://openalex.org/W6605711098"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W1982679530","https://openalex.org/W3111286355","https://openalex.org/W4285212364","https://openalex.org/W2116074880","https://openalex.org/W2360100473","https://openalex.org/W2070977815","https://openalex.org/W2349895019","https://openalex.org/W2767141225"],"abstract_inverted_index":{"In":[0],"this":[1,32],"paper,":[2],"a":[3],"modified":[4],"Competitive":[5],"Mechanism":[6],"Multi-Objective":[7],"Particle":[8],"Swarm":[9],"Optimization":[10],"(MCMOPSO)":[11],"algorithm":[12,19,105,117,143,163],"is":[13,82,144],"presented":[14],"for":[15,43,92,170],"multi-objective":[16,122],"optimization.":[17],"The":[18,110],"consists":[20],"of":[21,56,76,103,128,136,157,176],"an":[22,68],"improved":[23],"leader":[24,29],"selection":[25],"scheme":[26],"called":[27],"multi-competition":[28],"selection.":[30],"Under":[31],"scheme,":[33],"particles":[34,42],"move":[35],"to":[36,84,90,146,151],"the":[37,40,44,49,53,64,73,79,85,93,98,104,107,115,129,141,147,153,161,171],"winner":[38],"among":[39],"elite":[41,60],"social":[45],"cognitive":[46],"by":[47],"comparing":[48],"nearest":[50],"angle":[51,55],"or":[52],"farthest":[54],"several":[57],"randomly":[58],"selected":[59],"particles.":[61],"Besides,":[62],"as":[63],"inertia":[65,86],"weight":[66,87],"plays":[67],"important":[69],"role":[70],"in":[71,88,134,174],"controlling":[72],"previous":[74],"velocity":[75],"each":[77,158],"particle,":[78],"competitive":[80],"mechanism":[81],"applied":[83,145],"order":[89],"investigate":[91],"most":[94,127],"suitable":[95],"balance":[96],"between":[97],"exploration":[99],"and":[100,160],"exploitation":[101],"abilities":[102],"during":[106],"search":[108],"process.":[109],"experimental":[111],"results":[112],"show":[113],"that":[114],"proposed":[116,142,162],"outperforms":[118],"four":[119],"other":[120,167],"popular":[121],"particle":[123],"swarm":[124],"optimization":[125],"algorithms":[126,169],"time":[130,156],"on":[131],"thirty-seven":[132],"benchmarks":[133],"terms":[135,175],"inverted":[137],"generational":[138],"distance.":[139],"Furthermore,":[140],"signalized":[148],"traffic":[149,172],"problem":[150,173],"optimize":[152],"effective":[154],"green":[155],"phase,":[159],"performs":[164],"better":[165],"than":[166],"MOPSO":[168],"hypervolume.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
