{"id":"https://openalex.org/W2885124873","doi":"https://doi.org/10.1145/3205455.3205625","title":"Cooperative co-evolution with online optimizer selection for large-scale optimization","display_name":"Cooperative co-evolution with online optimizer selection for large-scale optimization","publication_year":2018,"publication_date":"2018-07-02","ids":{"openalex":"https://openalex.org/W2885124873","doi":"https://doi.org/10.1145/3205455.3205625","mag":"2885124873"},"language":"en","primary_location":{"id":"doi:10.1145/3205455.3205625","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205455.3205625","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048746096","display_name":"Yuan Sun","orcid":"https://orcid.org/0000-0003-2911-0070"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yuan Sun","raw_affiliation_strings":["The University of Melbourne, Parkville, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Melbourne, Parkville, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025856575","display_name":"Michael Kirley","orcid":"https://orcid.org/0000-0002-6030-858X"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Kirley","raw_affiliation_strings":["The University of Melbourne, Parkville, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Melbourne, Parkville, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100369719","display_name":"Xiaodong Li","orcid":"https://orcid.org/0000-0003-0346-1526"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaodong Li","raw_affiliation_strings":["RMIT University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048746096"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":0.7038,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.79968454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1079","last_page":"1086"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.994700014591217,"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":0.994700014591217,"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":0.9890000224113464,"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":0.9772999882698059,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7861511707305908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6799499988555908},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6690502762794495},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6647105813026428},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6294483542442322},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5350742340087891},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5340219140052795},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5179888010025024},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.44196817278862},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4370579719543457},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2393762767314911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23582139611244202},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19896015524864197},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08614307641983032}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7861511707305908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6799499988555908},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6690502762794495},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6647105813026428},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6294483542442322},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5350742340087891},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5340219140052795},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5179888010025024},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.44196817278862},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4370579719543457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2393762767314911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23582139611244202},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19896015524864197},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08614307641983032},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3205455.3205625","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205455.3205625","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.61RMIT_INST:11248145000001341","is_oa":false,"landing_page_url":"https://dl.acm.org/citation.cfm?id=3205625","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27582996","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27582996","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W120185646","https://openalex.org/W243319620","https://openalex.org/W1506907352","https://openalex.org/W1994019844","https://openalex.org/W1995972800","https://openalex.org/W2004617458","https://openalex.org/W2013497292","https://openalex.org/W2018980645","https://openalex.org/W2039568841","https://openalex.org/W2046725771","https://openalex.org/W2061706483","https://openalex.org/W2069816717","https://openalex.org/W2078702416","https://openalex.org/W2081524587","https://openalex.org/W2083206808","https://openalex.org/W2083457599","https://openalex.org/W2099655666","https://openalex.org/W2121429049","https://openalex.org/W2140491475","https://openalex.org/W2144027346","https://openalex.org/W2145418868","https://openalex.org/W2147573707","https://openalex.org/W2155370091","https://openalex.org/W2158597998","https://openalex.org/W2163286715","https://openalex.org/W2413634576","https://openalex.org/W2554924637","https://openalex.org/W2562277660","https://openalex.org/W2562543955","https://openalex.org/W2608705546","https://openalex.org/W2964281761"],"related_works":["https://openalex.org/W2726551571","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W85101999","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W4291270682","https://openalex.org/W1560122427","https://openalex.org/W2593449396","https://openalex.org/W2780789525"],"abstract_inverted_index":{"Cooperative":[0],"co-evolution":[1],"(CC)":[2],"is":[3],"an":[4,79],"effective":[5],"framework":[6,75],"that":[7,103,137],"can":[8,77],"be":[9,55],"used":[10],"to":[11,27,42,82,90,108],"solve":[12,28,83],"large-scale":[13,130],"optimization":[14],"problems.":[15,132],"It":[16],"typically":[17],"divides":[18],"a":[19,32,59,72,84],"problem":[20],"into":[21],"components":[22,30,63],"and":[23,101],"uses":[24],"one":[25,51],"optimizer":[26,52,81,100,144],"the":[29,36,43,91,98,105,109,118,121,140],"in":[31],"round-robin":[33],"fashion.":[34],"However":[35],"relative":[37],"contribution":[38,89,107],"of":[39,62,120],"each":[40,95],"component":[41,85,102],"overall":[44],"fitness":[45,92,110],"value":[46],"may":[47,53],"vary.":[48],"Furthermore,":[49],"using":[50,129],"not":[54],"sufficient":[56],"when":[57],"solving":[58],"wide":[60],"range":[61],"with":[64,124],"different":[65],"characteristics.":[66],"In":[67,94],"this":[68],"paper,":[69],"we":[70],"propose":[71],"novel":[73],"CC":[74,123,141],"which":[76],"select":[78],"appropriate":[80],"based":[86],"on":[87],"its":[88],"improvement.":[93],"evolutionary":[96],"cycle,":[97],"candidate":[99],"make":[104],"greatest":[106],"improvement":[111],"are":[112],"selected":[113],"for":[114],"evolving.":[115],"We":[116],"evaluated":[117],"efficacy":[119],"proposed":[122],"Optimizer":[125],"Selection":[126],"(CCOS)":[127],"algorithm":[128],"benchmark":[131],"The":[133],"numerical":[134],"experiments":[135],"showed":[136],"CCOS":[138,154],"outperformed":[139],"model":[142],"without":[143],"selection":[145],"ability.":[146],"When":[147],"compared":[148],"against":[149],"several":[150],"other":[151],"state-of-the-art":[152],"algorithms,":[153],"generated":[155],"competitive":[156],"solution":[157],"quality.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}