{"id":"https://openalex.org/W2533663386","doi":"https://doi.org/10.1109/fskd.2016.7603181","title":"A multi-objective evolutionary algorithm based on mixed game strategy","display_name":"A multi-objective evolutionary algorithm based on mixed game strategy","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2533663386","doi":"https://doi.org/10.1109/fskd.2016.7603181","mag":"2533663386"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2016.7603181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2016.7603181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5075732041","display_name":"Yuandan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I149735164","display_name":"Hengyang Normal University","ror":"https://ror.org/006bvjm48","country_code":"CN","type":"education","lineage":["https://openalex.org/I149735164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuandan Li","raw_affiliation_strings":["Hengyang Normal University, Hengyang, Hunan, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hengyang Normal University, Hengyang, Hunan, CN","institution_ids":["https://openalex.org/I149735164"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689861","display_name":"Shiwen Zhang","orcid":"https://orcid.org/0000-0003-2490-8171"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwen Zhang","raw_affiliation_strings":["Hunan University, Changsha, Hunan, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, Hunan, CN","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100396723","display_name":"Zhiyong Li","orcid":"https://orcid.org/0000-0001-9720-5915"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Li","raw_affiliation_strings":["Hunan University, Changsha, Hunan, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, Hunan, CN","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3101,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47773812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"241","last_page":"252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.998199999332428,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9854999780654907,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.7436844110488892},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.7181757092475891},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6580435633659363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6503822803497314},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6233522295951843},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6057418584823608},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4993000030517578},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.4837079644203186},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4284893572330475},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36921072006225586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2645568549633026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24889469146728516}],"concepts":[{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.7436844110488892},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.7181757092475891},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6580435633659363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6503822803497314},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6233522295951843},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6057418584823608},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4993000030517578},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.4837079644203186},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4284893572330475},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36921072006225586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2645568549633026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24889469146728516},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2016.7603181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2016.7603181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.41999998688697815,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1585939719","https://openalex.org/W1972438683","https://openalex.org/W2053900989","https://openalex.org/W2105781771","https://openalex.org/W2106334424","https://openalex.org/W2165171393","https://openalex.org/W2166949966","https://openalex.org/W2167159964","https://openalex.org/W2261054240"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W4241467429","https://openalex.org/W2001591765","https://openalex.org/W2977596624","https://openalex.org/W2802808995","https://openalex.org/W3190773221","https://openalex.org/W2391924736","https://openalex.org/W2021957875","https://openalex.org/W1560122427","https://openalex.org/W2780789525"],"abstract_inverted_index":{"Non-dominated":[0],"sorting":[1,18],"multi-objective":[2,54,153,192],"optimization":[3,154,193],"algorithms":[4,42],"can":[5],"constantly":[6,93],"lead":[7],"to":[8,23,84,97,121,130],"the":[9,16,25,29,64,67,85,88,91,99,106,111,122,128,131,151,164,171,184],"population":[10,129],"of":[11,66,79,87,101,110,116,170],"Pareto":[12,26,132],"front":[13,27],"optimal.":[14],"However,":[15],"non-dominated":[17],"strategy":[19,37,62,76],"lacks":[20],"high":[21],"capability":[22],"explore":[24],"in":[28,43,73,189],"evolutionary":[30,41,55,155],"subsequent":[31],"process.":[32],"We":[33],"introduce":[34],"a":[35,52,61,70,114],"mixed":[36],"game":[38,89],"model":[39],"into":[40],"this":[44,48,95],"paper.":[45],"Based":[46],"on":[47],"strategy,":[49],"we":[50],"propose":[51],"novel":[53],"algorithm":[56,186],"(MSG-MOEA).":[57],"A":[58],"player":[59,92],"adopts":[60],"against":[63,163],"rest":[65],"players":[68],"with":[69],"certain":[71],"probability":[72,96],"their":[74],"respective":[75],"space":[77],"instead":[78],"some":[80,140],"specific":[81],"strategy.":[82],"According":[83],"results":[86,159,181],"earning,":[90],"updates":[94],"maximize":[98],"interest":[100],"his":[102],"own":[103],"objective.":[104],"Through":[105],"players'":[107],"constant":[108],"pursuit":[109],"maximal":[112],"interest,":[113],"kind":[115],"tension":[117],"could":[118],"be":[119],"brought":[120],"population,":[123],"which":[124,147,167],"would":[125],"push":[126],"forward":[127],"front.":[133],"The":[134,157],"proposed":[135,185],"approach":[136],"has":[137],"been":[138,161],"used":[139],"test":[141],"functions":[142],"and":[143,179],"metrics":[144],"for":[145],"validation":[146],"are":[148],"taken":[149],"from":[150],"standard":[152],"literature.":[156],"experiment":[158],"have":[160],"compared":[162],"NSGAII":[165],"algorithm,":[166],"is":[168],"one":[169],"most":[172],"highly":[173],"competitive":[174],"EMO":[175],"algorithms.":[176],"Algorithm":[177],"analysis":[178],"simulation":[180],"show":[182],"that":[183],"performs":[187],"well":[188],"solving":[190],"complex":[191],"problems.":[194]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
