{"id":"https://openalex.org/W4401414444","doi":"https://doi.org/10.1109/cec60901.2024.10612019","title":"Multi-Stage Transfer Learning Evolutionary Algorithm for Dynamic Multiobjective Optimization","display_name":"Multi-Stage Transfer Learning Evolutionary Algorithm for Dynamic Multiobjective Optimization","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401414444","doi":"https://doi.org/10.1109/cec60901.2024.10612019"},"language":"en","primary_location":{"id":"doi:10.1109/cec60901.2024.10612019","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cec60901.2024.10612019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-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/A5005189731","display_name":"Qianhui Wang","orcid":"https://orcid.org/0009-0009-2529-8353"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qianhui Wang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101903539","display_name":"Qingling Zhu","orcid":"https://orcid.org/0000-0002-0925-9903"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingling Zhu","raw_affiliation_strings":["Shenzhen University,National Engineering Laboratory for Big Data System Computing Technology,Shenzhen,PR China,518060"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,National Engineering Laboratory for Big Data System Computing Technology,Shenzhen,PR China,518060","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046906366","display_name":"Junkai Ji","orcid":"https://orcid.org/0000-0002-1985-938X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junkai Ji","raw_affiliation_strings":["Shenzhen University,National Engineering Laboratory for Big Data System Computing Technology,Shenzhen,PR China,518060"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,National Engineering Laboratory for Big Data System Computing Technology,Shenzhen,PR China,518060","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005189731"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.3804,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62860145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.998199999332428,"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":0.998199999332428,"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":0.9839000105857849,"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":0.9276999831199646,"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/computer-science","display_name":"Computer science","score":0.6596925258636475},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5155786871910095},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.45984044671058655},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43422746658325195},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.4321139454841614},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38066092133522034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3370831310749054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1887717843055725},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.060108065605163574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6596925258636475},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5155786871910095},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.45984044671058655},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43422746658325195},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4321139454841614},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38066092133522034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3370831310749054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1887717843055725},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.060108065605163574},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec60901.2024.10612019","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cec60901.2024.10612019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2895454701","display_name":null,"funder_award_id":"62173236,62203308","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":26,"referenced_works":["https://openalex.org/W1574490530","https://openalex.org/W1857789879","https://openalex.org/W1968173975","https://openalex.org/W2008813646","https://openalex.org/W2122111042","https://openalex.org/W2122838776","https://openalex.org/W2126105956","https://openalex.org/W2142844925","https://openalex.org/W2143381319","https://openalex.org/W2153635508","https://openalex.org/W2194983992","https://openalex.org/W2421912678","https://openalex.org/W2484930447","https://openalex.org/W2583496274","https://openalex.org/W2731022147","https://openalex.org/W2795058420","https://openalex.org/W2795133662","https://openalex.org/W2949979053","https://openalex.org/W3027186203","https://openalex.org/W3037258640","https://openalex.org/W3087474410","https://openalex.org/W3099100043","https://openalex.org/W4281643162","https://openalex.org/W4281917286","https://openalex.org/W4313546928","https://openalex.org/W6750227454"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W2887328214","https://openalex.org/W1560122427","https://openalex.org/W2021957875","https://openalex.org/W2802808995","https://openalex.org/W2787833928","https://openalex.org/W2593449396"],"abstract_inverted_index":{"Recently,":[0],"the":[1,26,38,42,46,85,90,93,96,101,112,134,140,147,150,154],"application":[2],"of":[3,48,61,89,95,178],"transfer":[4,27,50,74,102,135,144],"learning":[5,28,75,98,103,114,136],"within":[6],"dynamic":[7,18],"multiobjective":[8,19],"evolutionary":[9],"algorithms":[10,175],"(DMOEAs)":[11],"has":[12],"shown":[13],"significant":[14],"potential":[15],"to":[16,36,53,83,143,149,161],"solve":[17],"optimization":[20],"problems":[21],"(DMOPs).":[22],"This":[23],"approach":[24],"utilizes":[25],"technique":[29,142],"which":[30],"reuses":[31],"information":[32],"from":[33,146],"previous":[34],"environments":[35],"accelerate":[37],"search":[39,56],"process":[40],"in":[41,176],"new":[43],"environment.":[44],"However,":[45],"risk":[47],"negative":[49,163],"can":[51],"lead":[52],"an":[54],"erroneous":[55],"direction":[57],"and":[58,87,100,104,122,137,180],"inefficient":[59],"use":[60],"computational":[62],"resources.":[63],"To":[64],"address":[65],"this":[66,68],"issue,":[67],"paper":[69],"proposes":[70],"a":[71,116,183],"novel":[72],"multistage":[73],"DMOEA,":[76],"named":[77],"MSTL.":[78],"The":[79],"algorithm":[80,171],"is":[81],"designed":[82],"enhance":[84],"convergence":[86,181],"diversity":[88,179],"population":[91],"through":[92],"combination":[94],"pre-transfer":[97,113],"stage":[99,106],"validation":[105,123,138,159],"when":[107],"environmental":[108],"changes":[109],"occur.":[110],"In":[111,133],"stage,":[115,139],"suitable":[117],"target":[118,148],"domain,":[119,121,152],"source":[120,151],"classifier":[124],"sample":[125],"sets":[126],"are":[127],"generated":[128],"guided":[129],"by":[130,157],"historical":[131],"information.":[132],"TrAdaboost":[141],"knowledge":[145],"with":[153],"results":[155,166],"verified":[156],"two":[158],"classifiers":[160],"mitigate":[162],"transfer.":[164],"Experimental":[165],"demonstrate":[167],"that":[168],"our":[169],"proposed":[170],"outperforms":[172],"four":[173],"competing":[174],"terms":[177],"on":[182],"widely":[184],"recognized":[185],"benchmark":[186],"suite.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
