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Deng, Li-Bao, Zhang, Li-Li, Fu, Ning, Sun, Hai-li, Qiao, Li-Yan (2020) ERG-DE: An elites regeneration framework for differential evolution. Information Sciences, 539. 81-103 doi:10.1016/j.ins.2020.05.108

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Reference TypeJournal (article/letter/editorial)
TitleERG-DE: An elites regeneration framework for differential evolution
JournalInformation Sciences
AuthorsDeng, Li-BaoAuthor
Zhang, Li-LiAuthor
Fu, NingAuthor
Sun, Hai-liAuthor
Qiao, Li-YanAuthor
Year2020 (October)Volume539
PublisherElsevier BV
DOIdoi:10.1016/j.ins.2020.05.108Search in ResearchGate
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Mindat Ref. ID13449310Long-form Identifiermindat:1:5:13449310:9
GUID0
Full ReferenceDeng, Li-Bao, Zhang, Li-Li, Fu, Ning, Sun, Hai-li, Qiao, Li-Yan (2020) ERG-DE: An elites regeneration framework for differential evolution. Information Sciences, 539. 81-103 doi:10.1016/j.ins.2020.05.108
Plain TextDeng, Li-Bao, Zhang, Li-Li, Fu, Ning, Sun, Hai-li, Qiao, Li-Yan (2020) ERG-DE: An elites regeneration framework for differential evolution. Information Sciences, 539. 81-103 doi:10.1016/j.ins.2020.05.108
In(2020) Information Sciences Vol. 539. Elsevier BV

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