dc.contributor.author | Jiang, Shouyong | |
dc.contributor.author | Zou, Juan | |
dc.contributor.author | Yang, Shengxiang | |
dc.contributor.author | Yao, Xin | |
dc.date.accessioned | 2022-03-17T15:14:01Z | |
dc.date.available | 2022-03-17T15:14:01Z | |
dc.date.issued | 2022-11-21 | |
dc.identifier.citation | Jiang , 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/10.1145/3524495 | en |
dc.identifier.issn | 0360-0300 | |
dc.identifier.other | PURE: 214880639 | |
dc.identifier.other | PURE UUID: d5c24828-070c-474f-96b7-68e6cb736391 | |
dc.identifier.other | Scopus: 85133529237 | |
dc.identifier.uri | https://hdl.handle.net/2164/18236 | |
dc.description | This 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.extent | 47 | |
dc.language.iso | eng | |
dc.relation.ispartof | ACM Computing Surveys | en |
dc.rights | This is the accepted version of [full cite]. Version of record can be found at [DOI] | en |
dc.rights | This work is licenced under a Creative Commons Attribution International 4.0 Licence, https://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | Multi-objective optimisation | en |
dc.subject | evolutionary algorithm | en |
dc.subject | dynamic environment | en |
dc.subject | evolutionary dynamic multi-objective optimisation | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | Supplementary Data | en |
dc.subject.lcc | QA75 | en |
dc.title | Evolutionary Dynamic Multi-Objective Optimisation : A survey | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Computing Science | en |
dc.contributor.institution | University of Aberdeen.Machine Learning | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Postprint | en |
dc.description.version | Publisher PDF | en |
dc.identifier.doi | https://doi.org/10.1145/3524495 | |
dc.identifier.vol | 55 | en |
dc.identifier.iss | 4 | en |