An ensemble of differential evolution algorithms with variable neighborhood search for constrained function optimization

dc.contributor.author	Paldrak, M.
dc.contributor.author	Tasgetiren, M.F.
dc.contributor.author	Suganthan, P.N.
dc.contributor.author	Pan, Q.K.
dc.date.accessioned	2021-01-25T20:49:08Z
dc.date.available	2021-01-25T20:49:08Z
dc.date.issued	2016
dc.identifier	10.1109/CEC.2016.7744115
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008244093&doi=10.1109%2fCEC.2016.7744115&partnerID=40&md5=343a5756fc9bd3b33f14d97b9af92eaa
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10160
dc.description.abstract	In this paper, an ensemble of differential evolution algorithms based on a variable neighborhood search algorithm (EDE-VNS) is proposed so as to solve the constrained real parameter-optimization problems. The performance of DE algorithms heavily depends o
dc.language.iso	English
dc.publisher	2016 IEEE Congress on Evolutionary Computation, CEC 2016
dc.title	An ensemble of differential evolution algorithms with variable neighborhood search for constrained function optimization
dc.type	Conference Paper
dc.relation.firstpage	2610
dc.relation.lastpage	2617
dc.description.affiliations	Yasar University, Department of Industrial Engineering, Izmir, Turkey; Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore, Singapore; State Key Laboratory, Huazhong University of Science and Technology, Wuhan, Chi

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