A differential evolution algorithm with a variable neighborhood search for constrained function optimization

dc.contributor.author	Tasgetiren, M.F.
dc.contributor.author	Suganthan, P.N.
dc.contributor.author	Ozcan, S.
dc.contributor.author	Kizilay, D.
dc.date.accessioned	2021-01-25T20:49:56Z
dc.date.available	2021-01-25T20:49:56Z
dc.date.issued	2015
dc.identifier	10.1007/978-3-319-14400-9_8
dc.identifier.issn	18674534
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922139108&doi=10.1007%2f978-3-319-14400-9_8&partnerID=40&md5=6765469fa1635c9593e7cb88189a4e8c
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10358
dc.description.abstract	In this paper, a differential evolution algorithm based on a variable neighborhood search algorithm (DE_VNS) is proposed in order to solve the constrained real-parameter optimization problems. The performance of DE algorithm depends on the mutation strate
dc.language.iso	English
dc.publisher	Adaptation, Learning, and Optimization
dc.title	A differential evolution algorithm with a variable neighborhood search for constrained function optimization
dc.type	Article
dc.relation.firstpage	171
dc.relation.lastpage	184
dc.relation.volume	18
dc.description.affiliations	Industrial Engineering Department, Yasar University, Selcuk Yasar Campus, Izmir, Turkey; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

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