{"id":"https://openalex.org/W4406610692","doi":"https://doi.org/10.1109/tetci.2025.3526505","title":"Data Stream Driven Dynamic Multiobjective Optimization Using Surrogate Transfer","display_name":"Data Stream Driven Dynamic Multiobjective Optimization Using Surrogate Transfer","publication_year":2025,"publication_date":"2025-01-20","ids":{"openalex":"https://openalex.org/W4406610692","doi":"https://doi.org/10.1109/tetci.2025.3526505"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2025.3526505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3526505","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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/A5019393344","display_name":"Zhening Liu","orcid":"https://orcid.org/0000-0001-7646-4758"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhening Liu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi&#x0027;an, China","School of Artificial Intelligence, Xidian&#x00A0;&#x00A0; University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0001-7646-4758","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian&#x00A0;&#x00A0; University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091324372","display_name":"Handing Wang","orcid":"https://orcid.org/0000-0002-4805-3780"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Handing Wang","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi&#x0027;an, China","School of Artificial Intelligence, Xidian&#x00A0;&#x00A0; University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-4805-3780","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian&#x00A0;&#x00A0; University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091227928","display_name":"Maoguo Gong","orcid":"https://orcid.org/0000-0002-0415-8556"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoguo Gong","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, School of Electronic Engineering, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-0415-8556","affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, School of Electronic Engineering, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032314861","display_name":"Yaochu Jin","orcid":"https://orcid.org/0000-0003-1100-0631"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaochu Jin","raw_affiliation_strings":["Trustworthy and General Artificial Intelligence Laboratory, School of Engineering, Westlake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1100-0631","affiliations":[{"raw_affiliation_string":"Trustworthy and General Artificial Intelligence Laboratory, School of Engineering, Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019393344"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":2.6514,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88407903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"10","issue":"2","first_page":"1084","last_page":"1097"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9936000108718872,"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":0.9936000108718872,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9549999833106995,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/computer-science","display_name":"Computer science","score":0.5059847235679626},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5005388259887695},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.42716148495674133},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3999759554862976},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23872467875480652}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5059847235679626},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5005388259887695},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.42716148495674133},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3999759554862976},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23872467875480652}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2025.3526505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3526505","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1949608614","display_name":null,"funder_award_id":"62036006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G754480656","display_name":null,"funder_award_id":"62376202","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":0,"referenced_works":[],"related_works":["https://openalex.org/W4318426920","https://openalex.org/W2055791821","https://openalex.org/W2207859038","https://openalex.org/W2162013778","https://openalex.org/W2153873031","https://openalex.org/W570431388","https://openalex.org/W2637862190","https://openalex.org/W2611723089","https://openalex.org/W2337862504","https://openalex.org/W3082547637"],"abstract_inverted_index":{"Most":[0],"existing":[1],"dynamic":[2,77,95],"multiobjective":[3,78,112,224],"evolutionary":[4,113,225,232],"algorithms":[5,226,233],"assume":[6],"that":[7],"the":[8,17,24,29,37,40,54,59,62,85,89,94,100,105,121,126,134,139,146,160,168,173,178,184,188,197,208,213,216,258,261,267,273],"real":[9],"objective":[10,30,52,55,135,251],"function":[11,56,252],"evaluations":[12],"are":[13,72,87,154],"easily":[14],"acquired":[15],"during":[16],"optimization":[18,25,79,106,140],"process.":[19,141],"However,":[20],"in":[21,61,172,203,250],"some":[22],"situations,":[23],"algorithm":[26,114,161],"cannot":[27],"invoke":[28],"functions":[31,136],"and":[32,98,128,137,149,187,227,245,265],"is":[33,117,219],"exclusively":[34],"driven":[35,76],"by":[36,200],"solutions":[38,47,60,91,195],"within":[39],"continuously":[41],"incoming":[42],"data":[43,63,74,96,175],"stream.":[44],"Although":[45],"these":[46],"come":[48],"with":[49,58,229,241],"their":[50],"own":[51],"values,":[53],"associated":[57],"stream":[64,75],"experiences":[65],"continuous":[66],"changes":[67],"across":[68],"time.":[69],"These":[70],"problems":[71,80,240],"called":[73],"(DDMOPs).":[81],"The":[82,163,254],"difficulties":[83],"of":[84,238,248,260,270],"DDMOPs":[86],"tracking":[88],"optimal":[90,209],"based":[92],"on":[93,234],"streams":[97,176],"extracting":[99],"historical":[101,174],"information":[102],"to":[103,119,131,157,177,182,205,272],"improve":[104,159],"performance.":[107,162],"In":[108],"this":[109],"work,":[110],"a":[111,235],"framework":[115,218],"(ST-MOEA)":[116],"proposed":[118,156,217,263],"address":[120],"above":[122],"challenges.":[123],"ST-MOEA":[124,271],"uses":[125],"Kriging":[127],"RBFN":[129],"models":[130,181],"separately":[132],"substitute":[133],"guide":[138],"Two":[142],"effective":[143],"mechanisms":[144],"named":[145],"surrogate":[147,164,169,180,185],"transfer":[148,165],"reliable":[150,189],"solution":[151,190,210],"selection":[152,191],"strategies":[153,264],"also":[155],"further":[158],"strategy":[166,192],"transfers":[167],"hyperparameters":[170],"used":[171],"current":[179],"enhance":[183],"accuracies,":[186],"identifies":[193],"dependable":[194],"from":[196],"populations":[198],"generated":[199],"two":[201,230,262],"surrogates":[202],"order":[204],"ultimately":[206],"construct":[207],"set.":[211],"During":[212],"experiment":[214,255],"process,":[215],"embedded":[220],"into":[221],"three":[222],"different":[223,246],"compared":[228,274],"surrogate-assisted":[231],"wide":[236],"range":[237],"test":[239],"varying":[242],"decision":[243],"dimensions":[244],"levels":[247],"severity":[249],"changes.":[253],"results":[256],"validate":[257],"effectiveness":[259],"demonstrate":[266],"overall":[268],"advantage":[269],"algorithms.":[275]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
