{"id":"https://openalex.org/W2156262512","doi":"https://doi.org/10.1109/tsmcb.2012.2209115","title":"Multiple Populations for Multiple Objectives: A Coevolutionary Technique for Solving Multiobjective Optimization Problems","display_name":"Multiple Populations for Multiple Objectives: A Coevolutionary Technique for Solving Multiobjective Optimization Problems","publication_year":2012,"publication_date":"2012-08-14","ids":{"openalex":"https://openalex.org/W2156262512","doi":"https://doi.org/10.1109/tsmcb.2012.2209115","mag":"2156262512","pmid":"https://pubmed.ncbi.nlm.nih.gov/22907971"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcb.2012.2209115","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"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/A5011145004","display_name":"Zhi\u2010Hui Zhan","orcid":"https://orcid.org/0000-0003-0862-0514"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"funder","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Zhi-Hui Zhan","raw_affiliation_strings":["Department of Computer Science, Sun Yat-Sen University, Guangzhou, China","Key Laboratory of Digital Life, Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Life, Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Department of Computer Science, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338408","display_name":"Jingjing Li","orcid":"https://orcid.org/0000-0003-3636-0537"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"funder","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"None Jingjing Li","raw_affiliation_strings":["Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740023","display_name":"Jiannong Cao","orcid":"https://orcid.org/0000-0002-2725-2529"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"funder","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"None Jiannong Cao","raw_affiliation_strings":["Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"funder","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Jun Zhang","raw_affiliation_strings":["Sun Yat-Sen University, Guangzhou, Guangdong, CN"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, Guangzhou, Guangdong, CN","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679597","display_name":"Henry Shu-Hung Chung","orcid":"https://orcid.org/0000-0003-4890-8256"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"funder","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"H. S-H Chung","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000919145","display_name":"Yuhui Shi","orcid":"https://orcid.org/0000-0002-8840-723X"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"funder","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Yu-Hui Shi","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.575,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":311,"citation_normalized_percentile":{"value":0.999898,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"43","issue":"2","first_page":"445","last_page":"463"},"is_retracted":false,"is_paratext":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":0.9997,"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":0.9953,"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/benchmark","display_name":"Benchmark (surveying)","score":0.6916668}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6916668},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.68370247},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6625598},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.65074086},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6310784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.602142},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.49531928},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.46397644},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.4124652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34467864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27789},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcb.2012.2209115","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22907971","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.47}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":101,"referenced_works":["https://openalex.org/W1587294773","https://openalex.org/W1587499238","https://openalex.org/W1595498733","https://openalex.org/W1600188168","https://openalex.org/W1608317386","https://openalex.org/W1612556207","https://openalex.org/W1748556020","https://openalex.org/W1797128261","https://openalex.org/W1846834309","https://openalex.org/W1889218854","https://openalex.org/W1905847227","https://openalex.org/W1968201190","https://openalex.org/W1976442029","https://openalex.org/W1976635188","https://openalex.org/W1984810795","https://openalex.org/W1987234899","https://openalex.org/W1987751188","https://openalex.org/W1989951619","https://openalex.org/W1998391576","https://openalex.org/W2021776358","https://openalex.org/W2030266323","https://openalex.org/W2030347721","https://openalex.org/W2033630480","https://openalex.org/W2041946090","https://openalex.org/W2057752717","https://openalex.org/W2062015398","https://openalex.org/W2064788562","https://openalex.org/W2067028650","https://openalex.org/W2068898929","https://openalex.org/W2075358004","https://openalex.org/W2085386836","https://openalex.org/W2086413165","https://openalex.org/W2091263562","https://openalex.org/W2093649137","https://openalex.org/W2095771532","https://openalex.org/W2096524645","https://openalex.org/W2099389501","https://openalex.org/W2103055617","https://openalex.org/W2104940705","https://openalex.org/W2105245738","https://openalex.org/W2106334424","https://openalex.org/W2107527466","https://openalex.org/W2109810797","https://openalex.org/W2111811973","https://openalex.org/W2112133740","https://openalex.org/W2112745878","https://openalex.org/W2120204384","https://openalex.org/W2122937236","https://openalex.org/W2123066915","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2130368085","https://openalex.org/W2130762655","https://openalex.org/W2131088269","https://openalex.org/W2131090729","https://openalex.org/W2131202986","https://openalex.org/W2131213547","https://openalex.org/W2133275519","https://openalex.org/W2133412337","https://openalex.org/W2134565781","https://openalex.org/W2140066605","https://openalex.org/W2140882991","https://openalex.org/W2140886193","https://openalex.org/W2142844925","https://openalex.org/W2143185749","https://openalex.org/W2143299520","https://openalex.org/W2143376842","https://openalex.org/W2143381319","https://openalex.org/W2144515526","https://openalex.org/W2145057260","https://openalex.org/W2147573707","https://openalex.org/W2149620226","https://openalex.org/W2150046657","https://openalex.org/W2150295936","https://openalex.org/W2152195021","https://openalex.org/W2152196394","https://openalex.org/W2153272405","https://openalex.org/W2155005783","https://openalex.org/W2156570840","https://openalex.org/W2157601049","https://openalex.org/W2158078329","https://openalex.org/W2158931147","https://openalex.org/W2161040178","https://openalex.org/W2164800951","https://openalex.org/W2165171393","https://openalex.org/W2165299997","https://openalex.org/W2165626989","https://openalex.org/W2166674700","https://openalex.org/W2167322292","https://openalex.org/W2169378929","https://openalex.org/W2169574584","https://openalex.org/W2170108591","https://openalex.org/W2171308233","https://openalex.org/W2261054240","https://openalex.org/W2308813038","https://openalex.org/W2314805057","https://openalex.org/W2330022088","https://openalex.org/W2432516117","https://openalex.org/W2912565176","https://openalex.org/W2979235857","https://openalex.org/W4231132678"],"related_works":["https://openalex.org/W3151104768","https://openalex.org/W3134440233","https://openalex.org/W2977596624","https://openalex.org/W2906115061","https://openalex.org/W2751605210","https://openalex.org/W2744730182","https://openalex.org/W2419109832","https://openalex.org/W2145877535","https://openalex.org/W2068949283","https://openalex.org/W2022485595"],"abstract_inverted_index":{"Traditional":[0],"multiobjective":[1,13],"evolutionary":[2],"algorithms":[3],"(MOEAs)":[4],"consider":[5],"multiple":[6,50,53],"objectives":[7,30,54],"as":[8],"a":[9,45,67,109],"whole":[10,194],"when":[11,56],"solving":[12,250],"optimization":[14,118,125],"problems":[15,230],"(MOPs).":[16],"However,":[17],"this":[18,40,42,121],"consideration":[19],"may":[20],"cause":[21],"difficulty":[22],"to":[23,26,38,72,159,169,176,182,191,203,213,217],"assign":[24],"fitness":[25,87,96],"individuals":[27],"because":[28,93],"different":[29,157,189,226,232,252],"often":[31],"conflict":[32],"with":[33,80,231,237],"each":[34,77,98,113,130],"other.":[35],"In":[36,120],"order":[37],"avoid":[39,218],"difficulty,":[41],"paper":[43],"proposes":[44],"novel":[46,147,167],"coevolutionary":[47,133],"technique":[48,111],"named":[49],"populations":[51,158,190],"for":[52,129,156,209],"(MPMO)":[55],"developing":[57],"MOEAs.":[58],"The":[59,199,241],"novelty":[60],"of":[61,228,254],"MPMO":[62,107,142],"is":[63,108,127,137,146,175,202,222,235],"that":[64,112,244],"it":[65],"provides":[66],"simple":[68],"and":[69,132,148,163,234],"straightforward":[70],"way":[71],"solve":[73],"MOPs":[74],"by":[75,103,150,164,188],"letting":[76],"population":[78,99,114],"correspond":[79],"only":[81],"one":[82],"objective.":[83,106],"This":[84],"way,":[85],"the":[86,94,104,141,171,178,184,193,210],"assignment":[88],"problem":[89],"can":[90,100,115],"be":[91,101],"addressed":[92],"individuals'":[95],"in":[97,215,249],"assigned":[102],"corresponding":[105],"general":[110],"use":[116,183,204],"existing":[117],"algorithms.":[119,240],"paper,":[122],"particle":[123],"swarm":[124],"(PSO)":[126],"adopted":[128],"population,":[131],"multiswarm":[134],"PSO":[135],"(CMPSO)":[136],"developed":[138],"based":[139],"on":[140,225],"technique.":[143],"Furthermore,":[144],"CMPSO":[145,221,245],"effective":[149],"using":[151,165],"an":[152,205],"external":[153],"shared":[154],"archive":[155,211],"exchange":[160],"search":[161,185],"information":[162,186],"two":[166],"designs":[168],"enhance":[170],"performance.":[172],"One":[173],"design":[174,201],"modify":[177],"velocity":[179],"update":[180,212],"equation":[181],"found":[187],"approximate":[192],"Pareto":[195],"front":[196],"(PF)":[197],"fast.":[198],"other":[200],"elitist":[206],"learning":[207],"strategy":[208],"bring":[214],"diversity":[216],"local":[219],"PFs.":[220],"comprehensively":[223],"tested":[224],"sets":[227,253],"benchmark":[229],"characteristics":[233],"compared":[236],"some":[238],"state-of-the-art":[239],"results":[242],"show":[243],"has":[246],"superior":[247],"performance":[248],"these":[251],"MOPs.":[255]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2156262512","counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":35},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":32},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":26},{"year":2016,"cited_by_count":24},{"year":2015,"cited_by_count":33},{"year":2014,"cited_by_count":22},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":1}],"updated_date":"2025-04-18T15:56:46.112219","created_date":"2016-06-24"}