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	2021-01-25T19:33:56Z
dc.date.available	2021-01-25T19:33:56Z
dc.date.issued	2016
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7834
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	IEEE
dc.title	An Ensemble of Differential Evolution Algorithms with Variable Neighborhood Search for Constrained Function Optimization
dc.type	Proceedings Paper
dc.relation.firstpage	2610
dc.relation.lastpage	2617
dc.description.woscategory	Computer Science, Artificial Intelligence
dc.description.wosresearcharea	Computer Science
dc.identifier.wosid	WOS:000390749102106
dc.identifier.ctitle	IEEE Congress on Evolutionary Computation (CEC) held as part of IEEE World Congress on Computational Intelligence (IEEE WCCI)
dc.identifier.cdate	JUL 24-29, 2016

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