{"id":"https://openalex.org/W4205971889","doi":"https://doi.org/10.1109/access.2021.3131807","title":"A K-Means Clustering-Based Hybrid Offspring Generation Mechanism in Evolutionary Multi-Objective Optimization","display_name":"A K-Means Clustering-Based Hybrid Offspring Generation Mechanism in Evolutionary Multi-Objective Optimization","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W4205971889","doi":"https://doi.org/10.1109/access.2021.3131807"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3131807","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3131807","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09648531.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09648531.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089867975","display_name":"Yuhong Wang","orcid":"https://orcid.org/0000-0003-3033-1137"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhong Wang","raw_affiliation_strings":["School of Mechanical Engineering, Changzhou University, Changzhou 213164, China. (e-mail: 2458651528@qq.com)"],"raw_orcid":"https://orcid.org/0000-0003-3033-1137","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Changzhou University, Changzhou 213164, China. (e-mail: 2458651528@qq.com)","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388045","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0001-6857-3217"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Changzhou University, Changzhou 213164, China"],"raw_orcid":"https://orcid.org/0000-0001-6857-3217","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Changzhou University, Changzhou 213164, China","institution_ids":["https://openalex.org/I4210153482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210153482"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1448,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54864304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"9","issue":null,"first_page":"167642","last_page":"167651"},"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":0.9951000213623047,"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":0.9879000186920166,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7987505793571472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6493024230003357},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5625170469284058},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5534920692443848},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5193689465522766},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.45826277136802673},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4363028109073639},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4098909795284271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3781830072402954},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.366352379322052},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22140562534332275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21764981746673584}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7987505793571472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6493024230003357},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5625170469284058},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5534920692443848},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5193689465522766},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.45826277136802673},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4363028109073639},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4098909795284271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3781830072402954},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.366352379322052},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22140562534332275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21764981746673584},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3131807","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3131807","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09648531.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cc52051559364637b310591b693cd761","is_oa":true,"landing_page_url":"https://doaj.org/article/cc52051559364637b310591b693cd761","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 167642-167651 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3131807","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3131807","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09648531.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8076427031","display_name":null,"funder_award_id":"51875053","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205971889.pdf","grobid_xml":"https://content.openalex.org/works/W4205971889.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1525375343","https://openalex.org/W1558919105","https://openalex.org/W1588375755","https://openalex.org/W1595159159","https://openalex.org/W1608712655","https://openalex.org/W1905847227","https://openalex.org/W1967157470","https://openalex.org/W2015772998","https://openalex.org/W2020320008","https://openalex.org/W2038420231","https://openalex.org/W2058142975","https://openalex.org/W2072099061","https://openalex.org/W2078324766","https://openalex.org/W2079623354","https://openalex.org/W2098907614","https://openalex.org/W2108968575","https://openalex.org/W2112687525","https://openalex.org/W2116961716","https://openalex.org/W2126105956","https://openalex.org/W2127218421","https://openalex.org/W2140066605","https://openalex.org/W2140886193","https://openalex.org/W2143381319","https://openalex.org/W2144681237","https://openalex.org/W2150046657","https://openalex.org/W2218778065","https://openalex.org/W2336687883","https://openalex.org/W2342630703","https://openalex.org/W2342632173","https://openalex.org/W2414365832","https://openalex.org/W2557823539","https://openalex.org/W2790663233","https://openalex.org/W2790792247","https://openalex.org/W2802906688","https://openalex.org/W2973065766","https://openalex.org/W3008615321","https://openalex.org/W4292864963","https://openalex.org/W6678914141","https://openalex.org/W6680838134","https://openalex.org/W6681108347","https://openalex.org/W6702989015","https://openalex.org/W6704197658","https://openalex.org/W6749597847","https://openalex.org/W6774552830"],"related_works":["https://openalex.org/W2394392475","https://openalex.org/W2069937987","https://openalex.org/W1571424162","https://openalex.org/W2015132550","https://openalex.org/W3006802988","https://openalex.org/W2235797280","https://openalex.org/W1825560194","https://openalex.org/W3199390665","https://openalex.org/W2126943800","https://openalex.org/W2021957875"],"abstract_inverted_index":{"Model-based":[0],"recombination":[1],"operators":[2,12],"ignore":[3],"individual":[4,96,114],"quality":[5],"information,":[6,97],"while":[7],"genetic-based":[8],"differential":[9],"evolution":[10],"(DE)":[11],"lack":[13],"the":[14,26,44,47,65,75,80,87,91,126],"extraction":[15],"and":[16,67,95,111],"use":[17,112],"of":[18,86,93,120],"global":[19,81,94],"information.":[20,115],"This":[21],"makes":[22],"it":[23],"impossible":[24],"for":[25],"single":[27],"offspring":[28,51,104],"generation":[29,52,105],"method":[30],"to":[31,42,78,109],"always":[32],"achieve":[33],"excellent":[34],"performance":[35],"on":[36,64,74],"various":[37],"optimization":[38,137],"problems.":[39],"In":[40],"order":[41],"solve":[43],"above":[45],"problems,":[46],"K-means":[48,62],"clustering-based":[49],"hybrid":[50,103],"mechanism":[53,106],"multi-objective":[54,122,136],"evolutionary":[55,123],"algorithm":[56],"(KMDEA)":[57],"is":[58],"proposed.":[59],"KMDEA":[60,130],"performs":[61],"clustering":[63,76],"population,":[66],"builds":[68],"a":[69,101,118],"multivariate":[70],"Gaussian":[71],"model":[72],"based":[73],"results":[77,127],"discover":[79],"information":[82],"(the":[83],"regularity":[84],"property)":[85],"population.":[88],"For":[89],"realizing":[90],"fusion":[92],"this":[98],"paper":[99],"designs":[100],"new":[102],"(KMD":[107],"mechanism)":[108],"extract":[110],"local":[113],"Compared":[116],"with":[117,140],"variety":[119],"mainstream":[121],"algorithms":[124],"(MOEAs),":[125],"show":[128],"that":[129],"has":[131],"obvious":[132],"advantages":[133],"in":[134],"solving":[135],"problems":[138],"(MOPs)":[139],"complex":[141],"characteristics.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}