{"id":"https://openalex.org/W2071573609","doi":"https://doi.org/10.1145/2576768.2598345","title":"Evolutionary many-objective optimization using ensemble fitness ranking","display_name":"Evolutionary many-objective optimization using ensemble fitness ranking","publication_year":2014,"publication_date":"2014-07-11","ids":{"openalex":"https://openalex.org/W2071573609","doi":"https://doi.org/10.1145/2576768.2598345","mag":"2071573609"},"language":"en","primary_location":{"id":"doi:10.1145/2576768.2598345","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576768.2598345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation","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/A5100334807","display_name":"Yuan Yuan","orcid":"https://orcid.org/0000-0003-4233-4407"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086201515","display_name":"Hua Xu","orcid":"https://orcid.org/0000-0002-7401-307X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Xu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115595787","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0002-5569-5722"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100334807"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.8486,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.90916952,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"669","last_page":"676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987999796867371,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9961000084877014,"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/ranking","display_name":"Ranking (information retrieval)","score":0.7702817916870117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6119167804718018},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5425581932067871},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.511772096157074},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5002098083496094},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.48066914081573486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47981858253479004},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.46799275279045105},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.464067280292511},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.46120044589042664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40429407358169556},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30158495903015137}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7702817916870117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6119167804718018},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5425581932067871},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.511772096157074},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5002098083496094},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.48066914081573486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47981858253479004},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.46799275279045105},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.464067280292511},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.46120044589042664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40429407358169556},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30158495903015137},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2576768.2598345","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576768.2598345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6996993126","display_name":null,"funder_award_id":"61175110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":28,"referenced_works":["https://openalex.org/W225560312","https://openalex.org/W1490528537","https://openalex.org/W1533748389","https://openalex.org/W1544309315","https://openalex.org/W1545005363","https://openalex.org/W1585939719","https://openalex.org/W1588375755","https://openalex.org/W1595205399","https://openalex.org/W1607104331","https://openalex.org/W1625417988","https://openalex.org/W1856614156","https://openalex.org/W2000825106","https://openalex.org/W2022485595","https://openalex.org/W2038420231","https://openalex.org/W2055025427","https://openalex.org/W2063375245","https://openalex.org/W2102365077","https://openalex.org/W2104456211","https://openalex.org/W2110843745","https://openalex.org/W2126105956","https://openalex.org/W2133787071","https://openalex.org/W2139196352","https://openalex.org/W2143381319","https://openalex.org/W2148933727","https://openalex.org/W2150046657","https://openalex.org/W2152994530","https://openalex.org/W2164704531","https://openalex.org/W2997546679"],"related_works":["https://openalex.org/W3160516639","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W3134440233","https://openalex.org/W2751605210","https://openalex.org/W3151104768","https://openalex.org/W2419109832","https://openalex.org/W2068949283"],"abstract_inverted_index":{"In":[0,111],"this":[1],"paper,":[2],"a":[3,166],"new":[4],"framework,":[5],"called":[6],"ensemble":[7,28,122],"fitness":[8,25,89,119],"ranking":[9,29,46,70,123],"(EFR),":[10],"is":[11,83,130,135],"proposed":[12],"for":[13,77,100,163],"evolutionary":[14],"many-objective":[15,78,109],"optimization":[16],"that":[17,84,152],"allows":[18],"to":[19,34,54,102],"work":[20],"with":[21,137],"different":[22],"types":[23],"of":[24,57,66,92,117,128,169],"functions":[26,90,120],"and":[27,68,106,121,142,157],"schemes.":[30],"The":[31,80,148],"framework":[32],"aims":[33],"rank":[35],"the":[36,39,45,55,104,112,115,126],"solutions":[37],"in":[38,108],"population":[40],"more":[41,87],"appropriately":[42],"by":[43],"combing":[44],"results":[47,150],"from":[48],"many":[49],"simple":[50],"individual":[51],"rankers.":[52],"As":[53],"form":[56],"EFR,":[58],"it":[59,98],"can":[60],"be":[61],"regarded":[62],"as":[63],"an":[64],"extension":[65],"average":[67],"maximum":[69],"methods":[71,140],"which":[72,95],"have":[73],"been":[74],"shown":[75],"promising":[76],"problems.":[79,147],"significant":[81],"change":[82],"EFR":[85,101,129,134,153],"adopts":[86],"general":[88],"instead":[91],"objective":[93],"functions,":[94],"would":[96],"make":[97],"easier":[99],"balance":[103],"convergence":[105],"diversity":[107],"optimization.":[110],"experimental":[113],"studies,":[114],"influence":[116],"several":[118],"schemes":[124],"on":[125,144,159],"performance":[127],"fist":[131],"investigated.":[132],"Afterwards,":[133],"compared":[136],"two":[138],"state-of-the-art":[139],"(MOEA/D":[141],"NSGA-III)":[143],"well-known":[145],"test":[146],"computational":[149],"show":[151],"significantly":[154],"outperforms":[155],"MOEA/D":[156],"NSGA-III":[158],"most":[160],"instances,":[161],"especially":[162],"those":[164],"having":[165],"high":[167],"number":[168],"objectives.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
