{"id":"https://openalex.org/W4312991044","doi":"https://doi.org/10.1109/tevc.2022.3231493","title":"Offline Data-Driven Multiobjective Optimization Evolutionary Algorithm Based on Generative Adversarial Network","display_name":"Offline Data-Driven Multiobjective Optimization Evolutionary Algorithm Based on Generative Adversarial Network","publication_year":2022,"publication_date":"2022-12-22","ids":{"openalex":"https://openalex.org/W4312991044","doi":"https://doi.org/10.1109/tevc.2022.3231493"},"language":"en","primary_location":{"id":"doi:10.1109/tevc.2022.3231493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2022.3231493","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/A5047961864","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0003-3728-3342"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3728-3342","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401021","display_name":"Wang Hu","orcid":"https://orcid.org/0000-0002-5319-7463"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Hu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5319-7463","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089866078","display_name":"Wen Yao","orcid":"https://orcid.org/0000-0001-5224-9834"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen Yao","raw_affiliation_strings":["Chinese Academy of Military Science, National Innovation Institute of Defense Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5224-9834","affiliations":[{"raw_affiliation_string":"Chinese Academy of Military Science, National Innovation Institute of Defense Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089037296","display_name":"Lixian Lian","orcid":"https://orcid.org/0000-0001-8660-497X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixian Lian","raw_affiliation_strings":["College of Materials Science and Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-8660-497X","affiliations":[{"raw_affiliation_string":"College of Materials Science and Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010638666","display_name":"Gary G. Yen","orcid":"https://orcid.org/0000-0001-8851-5348"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary G. Yen","raw_affiliation_strings":["School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA"],"raw_orcid":"https://orcid.org/0000-0001-8851-5348","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA","institution_ids":["https://openalex.org/I115475287"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047961864"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.0375,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.73846395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"28","issue":"2","first_page":"293","last_page":"306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14156","display_name":"Engineering Applied Research","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14156","display_name":"Engineering Applied Research","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.95660001039505,"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/T13965","display_name":"Laser and Thermal Forming Techniques","score":0.9284999966621399,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6929478645324707},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6839474439620972},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6364444494247437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6238362193107605},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6133595705032349},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.5743175745010376},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5217298269271851},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.464826375246048},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.431001752614975},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42105215787887573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37726303935050964},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35366207361221313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25436803698539734},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08305713534355164}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6929478645324707},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6839474439620972},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6364444494247437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6238362193107605},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6133595705032349},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.5743175745010376},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5217298269271851},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.464826375246048},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.431001752614975},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42105215787887573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37726303935050964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35366207361221313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25436803698539734},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08305713534355164},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tevc.2022.3231493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2022.3231493","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5457540443","display_name":null,"funder_award_id":"61976046","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":58,"referenced_works":["https://openalex.org/W224959492","https://openalex.org/W1518025915","https://openalex.org/W1520622896","https://openalex.org/W1846834309","https://openalex.org/W1971066704","https://openalex.org/W1975314712","https://openalex.org/W1978581090","https://openalex.org/W2011174137","https://openalex.org/W2020390616","https://openalex.org/W2027009057","https://openalex.org/W2031569136","https://openalex.org/W2034337422","https://openalex.org/W2055025427","https://openalex.org/W2067923752","https://openalex.org/W2069228960","https://openalex.org/W2079934979","https://openalex.org/W2088990166","https://openalex.org/W2106252139","https://openalex.org/W2126105956","https://openalex.org/W2140886193","https://openalex.org/W2143185749","https://openalex.org/W2336467679","https://openalex.org/W2337108669","https://openalex.org/W2337110853","https://openalex.org/W2339166046","https://openalex.org/W2461861577","https://openalex.org/W2508768053","https://openalex.org/W2546299924","https://openalex.org/W2566693540","https://openalex.org/W2587874301","https://openalex.org/W2679717297","https://openalex.org/W2729909848","https://openalex.org/W2776317535","https://openalex.org/W2785988364","https://openalex.org/W2799502275","https://openalex.org/W2800879376","https://openalex.org/W2891140334","https://openalex.org/W2891186800","https://openalex.org/W2895700336","https://openalex.org/W2934618246","https://openalex.org/W2950904464","https://openalex.org/W2953640432","https://openalex.org/W2964121818","https://openalex.org/W2987257425","https://openalex.org/W2998143202","https://openalex.org/W3007698149","https://openalex.org/W3012446350","https://openalex.org/W3021941015","https://openalex.org/W3048904406","https://openalex.org/W3125537303","https://openalex.org/W3187443614","https://openalex.org/W3187846859","https://openalex.org/W6631190155","https://openalex.org/W6718379498","https://openalex.org/W6729767818","https://openalex.org/W6732249622","https://openalex.org/W6735913928","https://openalex.org/W6741832134"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2073147994","https://openalex.org/W1588199609","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W2384474142"],"abstract_inverted_index":{"Usually,":[0],"data-driven":[1],"multiobjective":[2],"optimization":[3],"problems":[4,204],"(DD-MOPs)":[5],"are":[6,87,152],"indirectly":[7],"solved":[8],"by":[9,90,154],"evolutionary":[10,78],"algorithms":[11,79],"through":[12],"the":[13,42,57,61,64,99,104,114,118,123,127,134,137,145,155,168,172,177,182,194],"built":[14],"surrogate":[15,85,128,163],"model":[16],"which":[17],"is":[18,54,130],"well-trained":[19],"from":[20,36,117],"sample":[21],"data.":[22],"However,":[23],"in":[24,50,101],"most":[25],"DD-MOPs,":[26],"only":[27],"a":[28,52,84,91,108,142,161,166],"few":[29],"available":[30],"data":[31,81,146,178],"can":[32],"be":[33],"practicably":[34],"collected":[35],"real":[37],"engineering":[38],"experiments":[39],"due":[40],"to":[41,55,96,132,159,208],"unaffordable":[43],"cost":[44],"and":[45,80,122,176,205],"time.":[46],"The":[47,191],"key":[48],"challenge":[49],"such":[51],"DD-MOP":[53],"prevent":[56],"serious":[58],"deterioration":[59],"on":[60],"accuracy":[62,135],"of":[63,113,120,126,136,141,157,184,193],"obtained":[65],"approximate":[66,138],"Pareto":[67,139],"front.":[68],"In":[69,103,144],"this":[70],"article,":[71],"two":[72,186],"novel":[73],"strategies,":[74],"critical":[75,105,110,115,173],"fitness":[76,106,174],"for":[77,83,197],"augmentation":[82,147,179],"model,":[86,129],"complementarily":[88],"imposed":[89],"generative":[92],"adversarial":[93],"network":[94],"(GAN)":[95],"tackle":[97],"with":[98,188],"challenges":[100],"DD-MOPs.":[102],"strategy,":[107,148],"new":[109,150,210],"fitness,":[111],"composed":[112],"score":[116],"discriminator":[119],"GAN":[121,158,169],"prediction":[124],"value":[125],"proposed":[131,195],"improve":[133],"front":[140],"DD-MOP.":[143],"some":[149],"samples":[151],"synthetized":[153],"generator":[156],"build":[160],"better-trained":[162],"model.":[164],"As":[165],"result,":[167],"concurrently":[170],"serves":[171],"strategy":[175,180],"as":[181],"roles":[183],"\u201ckilling":[185],"birds":[187],"one":[189],"stone.\u201d":[190],"performance":[192],"algorithm":[196],"DD-MOPs":[198],"was":[199],"well-verified":[200],"over":[201],"26":[202],"benchmark":[203],"successfully":[206],"applied":[207],"discover":[209],"NdFeB":[211],"materials.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-17T08:19:37.847499","created_date":"2025-10-10T00:00:00"}