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dc.contributor.authorJiang, Shouyong
dc.contributor.authorZou, Juan
dc.contributor.authorYang, Shengxiang
dc.contributor.authorYao, Xin
dc.date.accessioned2022-03-17T15:14:01Z
dc.date.available2022-03-17T15:14:01Z
dc.date.issued2022-11-21
dc.identifier.citationJiang , S , Zou , J , Yang , S & Yao , X 2022 , ' Evolutionary Dynamic Multi-Objective Optimisation : A survey ' , ACM Computing Surveys , vol. 55 , no. 4 , 76 . https://doi.org/10.1145/3524495en
dc.identifier.issn0360-0300
dc.identifier.otherPURE: 214880639
dc.identifier.otherPURE UUID: d5c24828-070c-474f-96b7-68e6cb736391
dc.identifier.otherScopus: 85133529237
dc.identifier.urihttps://hdl.handle.net/2164/18236
dc.descriptionThis work was supported by National Natural Science Foundation of China (Grant No. 61876164), Guangdong Provincial Key Laboratory (Grant No. 2020B121201001), the Program for Guangdong Introducing Innovative and Enterpreneurial Teams (Grant No. 2017ZT07X386), Shenzhen Science and Technology Program (Grant No. KQTD2016112514355531), and the Research Institute of Trustworthy Autonomous Systems.en
dc.format.extent47
dc.language.isoeng
dc.relation.ispartofACM Computing Surveysen
dc.rightsThis is the accepted version of [full cite]. Version of record can be found at [DOI]en
dc.rightsThis work is licenced under a Creative Commons Attribution International 4.0 Licence, https://creativecommons.org/licenses/by/4.0/en
dc.subjectMulti-objective optimisationen
dc.subjectevolutionary algorithmen
dc.subjectdynamic environmenten
dc.subjectevolutionary dynamic multi-objective optimisationen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectSupplementary Dataen
dc.subject.lccQA75en
dc.titleEvolutionary Dynamic Multi-Objective Optimisation : A surveyen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1145/3524495
dc.identifier.vol55en
dc.identifier.iss4en


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