{"id":"https://openalex.org/W1967157470","doi":"https://doi.org/10.1109/tevc.2015.2395073","title":"A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling","display_name":"A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling","publication_year":2015,"publication_date":"2015-01-23","ids":{"openalex":"https://openalex.org/W1967157470","doi":"https://doi.org/10.1109/tevc.2015.2395073","mag":"1967157470"},"language":"en","primary_location":{"id":"doi:10.1109/tevc.2015.2395073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2015.2395073","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-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/A5004036087","display_name":"Ran Cheng","orcid":"https://orcid.org/0000-0001-9410-8263"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ran Cheng","raw_affiliation_strings":["Department of Computing, University of Surrey, Guildford, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computing, University of Surrey, Guildford, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032314861","display_name":"Yaochu Jin","orcid":"https://orcid.org/0000-0003-1100-0631"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaochu Jin","raw_affiliation_strings":["College of Information Sciences and Technology, Donghua University, Shanghai, China","Department of Computing, University of Surrey, Guildford, U.K"],"affiliations":[{"raw_affiliation_string":"College of Information Sciences and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Department of Computing, University of Surrey, Guildford, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089029124","display_name":"Kaname Narukawa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kaname Narukawa","raw_affiliation_strings":["Honda Research Institute Europe, Offenbach, Germany"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe, Offenbach, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066418464","display_name":"Bernhard Sendhoff","orcid":"https://orcid.org/0000-0002-1233-9584"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernhard Sendhoff","raw_affiliation_strings":["Honda Research Institute Europe, Offenbach, Germany"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe, Offenbach, Germany","institution_ids":["https://openalex.org/I4210112253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004036087"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":25.8331,"has_fulltext":false,"cited_by_count":372,"citation_normalized_percentile":{"value":0.99733317,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"19","issue":"6","first_page":"838","last_page":"856"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9950000047683716,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.992900013923645,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.6809629201889038},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6346304416656494},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6208046078681946},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5060543417930603},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47249045968055725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46772491931915283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4470597207546234},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.4301983118057251},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4141938388347626},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.41275784373283386},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.41246429085731506},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.2407028079032898},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.181685209274292}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6809629201889038},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6346304416656494},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6208046078681946},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5060543417930603},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47249045968055725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46772491931915283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4470597207546234},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.4301983118057251},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4141938388347626},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.41275784373283386},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.41246429085731506},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.2407028079032898},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.181685209274292},{"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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tevc.2015.2395073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2015.2395073","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-article"},{"id":"pmh:oai:alma.44SUR_INST:11138671080002346","is_oa":false,"landing_page_url":"http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000366105600006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11d2a86992e85fb529977dad66a846d5","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:epubs.surrey.ac.uk:810218","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/810218/1/IM_MOEA_2015_CJ.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400680","display_name":"Surrey Research Insight Open Access (The University of Surrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:pub.uni-bielefeld.de:2978526","is_oa":false,"landing_page_url":"https://pub.uni-bielefeld.de/record/2978526","pdf_url":null,"source":{"id":"https://openalex.org/S4306401670","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"http://purl.org/coar/resource_type/c_6501"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G5632676598","display_name":"Data-Driven Surrogate-Assisted Evolutionary Fluid Dynamic Optimisation","funder_award_id":"EP/M017869/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8448577284","display_name":null,"funder_award_id":"EP/M017869/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":94,"referenced_works":["https://openalex.org/W61339854","https://openalex.org/W120226547","https://openalex.org/W264036554","https://openalex.org/W1480428252","https://openalex.org/W1485910948","https://openalex.org/W1494084041","https://openalex.org/W1500096139","https://openalex.org/W1540706608","https://openalex.org/W1558919105","https://openalex.org/W1564638059","https://openalex.org/W1585939719","https://openalex.org/W1588375755","https://openalex.org/W1595159159","https://openalex.org/W1595498733","https://openalex.org/W1612556207","https://openalex.org/W1676422771","https://openalex.org/W1746819321","https://openalex.org/W1817091417","https://openalex.org/W1846834309","https://openalex.org/W1853444542","https://openalex.org/W1905847227","https://openalex.org/W1920632974","https://openalex.org/W1938049985","https://openalex.org/W1969736425","https://openalex.org/W1976656630","https://openalex.org/W1977904727","https://openalex.org/W1981029154","https://openalex.org/W1983118771","https://openalex.org/W1993530334","https://openalex.org/W2011174137","https://openalex.org/W2012451526","https://openalex.org/W2013279402","https://openalex.org/W2018035844","https://openalex.org/W2018300124","https://openalex.org/W2020320008","https://openalex.org/W2025525377","https://openalex.org/W2030255339","https://openalex.org/W2031529615","https://openalex.org/W2036643871","https://openalex.org/W2038420231","https://openalex.org/W2039367850","https://openalex.org/W2048487010","https://openalex.org/W2050914643","https://openalex.org/W2058142975","https://openalex.org/W2072441740","https://openalex.org/W2082228576","https://openalex.org/W2085507535","https://openalex.org/W2086743688","https://openalex.org/W2089483579","https://openalex.org/W2106334424","https://openalex.org/W2109865546","https://openalex.org/W2112912151","https://openalex.org/W2116661285","https://openalex.org/W2116872250","https://openalex.org/W2121122425","https://openalex.org/W2121429049","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2127474646","https://openalex.org/W2130129690","https://openalex.org/W2140066605","https://openalex.org/W2140886193","https://openalex.org/W2142331156","https://openalex.org/W2142890639","https://openalex.org/W2143185749","https://openalex.org/W2143245714","https://openalex.org/W2143381319","https://openalex.org/W2146216407","https://openalex.org/W2150046657","https://openalex.org/W2155005783","https://openalex.org/W2156106639","https://openalex.org/W2156262512","https://openalex.org/W2159329525","https://openalex.org/W2169982207","https://openalex.org/W2185967851","https://openalex.org/W2198098822","https://openalex.org/W2261054240","https://openalex.org/W2278135314","https://openalex.org/W2293802732","https://openalex.org/W2414365832","https://openalex.org/W2430406707","https://openalex.org/W4211049957","https://openalex.org/W4300664287","https://openalex.org/W6604881928","https://openalex.org/W6609835690","https://openalex.org/W6628770400","https://openalex.org/W6635097213","https://openalex.org/W6636658889","https://openalex.org/W6640059419","https://openalex.org/W6662647082","https://openalex.org/W6679135266","https://openalex.org/W6680838134","https://openalex.org/W6686280391","https://openalex.org/W6717681995"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W85101999","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W3134440233","https://openalex.org/W2751605210","https://openalex.org/W2068949283"],"abstract_inverted_index":{"To":[0,124],"approximate":[1],"the":[2,11,18,26,38,57,103,107,121,128,141,158,185,190,195],"Pareto":[3],"front,":[4],"most":[5],"existing":[6],"multiobjective":[7,173],"evolutionary":[8],"algorithms":[9,29,54],"store":[10],"nondominated":[12,84,100,178],"solutions":[13,40,47,67,101,179,193],"found":[14,99],"so":[15],"far":[16],"in":[17,21,63,194],"population":[19],"or":[20],"an":[22],"external":[23],"archive":[24],"during":[25],"search.":[27],"Such":[28],"often":[30],"require":[31],"a":[32,43,76,135,149,166,182,199],"high":[33,171],"degree":[34],"of":[35,37,46,137,143,168,192],"diversity":[36,61],"stored":[39],"and":[41,62,82],"only":[42],"limited":[44],"number":[45,142],"can":[48,55,70],"be":[49,71],"achieved.":[50],"By":[51],"contrast,":[52],"model-based":[53,78],"alleviate":[56],"requirement":[58],"on":[59,165],"solution":[60],"principle,":[64],"as":[65,68],"many":[66],"needed":[69],"generated.":[72],"This":[73],"paper":[74],"proposes":[75],"new":[77],"method":[79],"for":[80],"representing":[81],"searching":[83],"solutions.":[85],"The":[86],"main":[87],"idea":[88],"is":[89,132,146],"to":[90,106,116,170,188],"construct":[91],"Gaussian":[92],"process-based":[93],"inverse":[94,111,126,130,144],"models":[95,112,145,187],"that":[96,157],"map":[97],"all":[98],"from":[102],"objective":[104,122],"space":[105],"decision":[108],"space.":[109,123],"These":[110],"are":[113,180],"then":[114],"used":[115],"create":[117],"offspring":[118],"by":[119],"sampling":[120],"facilitate":[125],"modeling,":[127],"multivariate":[129],"function":[131],"decomposed":[133],"into":[134],"group":[136],"univariate":[138],"functions,":[139],"where":[140],"reduced":[147],"using":[148,184],"random":[150],"grouping":[151],"technique.":[152],"Extensive":[153],"empirical":[154],"simulations":[155],"demonstrate":[156],"proposed":[159],"algorithm":[160],"exhibits":[161],"robust":[162],"search":[163],"performance":[164],"variety":[167],"medium":[169],"dimensional":[172],"optimization":[174],"test":[175],"problems.":[176],"Additional":[177],"generated":[181],"posteriori":[183],"constructed":[186],"increase":[189],"density":[191],"preferred":[196],"regions":[197],"at":[198],"low":[200],"computational":[201],"cost.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":42},{"year":2024,"cited_by_count":42},{"year":2023,"cited_by_count":58},{"year":2022,"cited_by_count":47},{"year":2021,"cited_by_count":38},{"year":2020,"cited_by_count":28},{"year":2019,"cited_by_count":34},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":22},{"year":2016,"cited_by_count":23},{"year":2015,"cited_by_count":6}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}