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dc.contributor.authorTasgetiren, M.F.
dc.contributor.authorPan, Q.K.
dc.contributor.authorKizilay, D.
dc.contributor.authorSuer, G.
dc.date.accessioned2021-01-25T20:49:34Z
dc.date.available2021-01-25T20:49:34Z
dc.date.issued2015
dc.identifier10.1109/CEC.2015.7257236
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84960159541&doi=10.1109%2fCEC.2015.7257236&partnerID=40&md5=58fe46cbb55f7aeca2fb62b6c31a4750
dc.identifier.urihttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10272
dc.description.abstractThis paper presents a differential evolution algorithm with a variable neighborhood search to solve the multidimensional knapsack problem. Unlike the studies employing check and repair operators, we employ some sophisticated constraint handling methods to
dc.language.isoEnglish
dc.publisher2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
dc.titleA differential evolution algorithm with variable neighborhood search for multidimensional knapsack problem
dc.typeConference Paper
dc.relation.firstpage2797
dc.relation.lastpage2804
dc.description.affiliationsIndustrial Engineering Department, Yasar University, Izmir, Turkey; State Key Laboratory, Huazhong University of Science and Technology, Wuhan, China; Industrial and Systems Engineering Department, Ohio University, Athens, OH, United States


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