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Evolutionary Dynamic Multi-Objective Optimisation : A survey

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dc.contributor.authorJiang, Shouyong
dc.contributor.authorZou, Juan
dc.contributor.authorYang, Shengxiang
dc.contributor.authorYao, Xin
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.date.accessioned2022-03-17T15:14:01Z
dc.date.available2022-03-17T15:14:01Z
dc.date.issued2022-11-21
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.description.statusPeer revieweden
dc.format.extent47
dc.format.extent2522960
dc.format.extent4321323
dc.identifier214880639
dc.identifierd5c24828-070c-474f-96b7-68e6cb736391
dc.identifier85133529237
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.doi10.1145/3524495
dc.identifier.iss4en
dc.identifier.issn0360-0300
dc.identifier.urihttps://hdl.handle.net/2164/18236
dc.identifier.vol55en
dc.language.isoeng
dc.relation.ispartofACM Computing Surveysen
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

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