A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations

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dc.authorid0000-0003-1790-6987en_US
dc.contributor.authorYıldız, Ali Rıza
dc.date.accessioned2021-03-20T20:15:56Z
dc.date.available2021-03-20T20:15:56Z
dc.date.issued2013
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Makine Mühendisliği Bölümüen_US
dc.description.abstractThis paper presents a novel hybrid optimization approach based on differential evolution algorithm and receptor editing property of immune system. The purpose of the present research is to develop a new optimization approach to solve optimization problems in the manufacturing industry. The proposed hybrid approach is applied to a case study for milling operations to show its effectiveness in machining operations. The results of the hybrid approach for the case study are compared with those of hybrid particle swarm algorithm, ant colony algorithm, immune algorithm, hybrid immune algorithm, genetic algorithm, feasible direction method and handbook recommendation. (C) 2012 Elsevier B. V. All rights reserved.en_US
dc.identifier.doi10.1016/j.asoc.2011.12.016
dc.identifier.endpage1566en_US
dc.identifier.issn1568-4946
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-84881668314
dc.identifier.scopusqualityQ1
dc.identifier.startpage1561en_US
dc.identifier.urihttp://doi.org/10.1016/j.asoc.2011.12.016
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1254
dc.identifier.volume13en_US
dc.identifier.wosWOS:000314664900024
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorYıldız, Ali Rıza
dc.language.isoenen_US
dc.publisherElsevier Science Bven_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMillingen_US
dc.subjectHybrid optimization approachen_US
dc.subjectDifferential evolutionen_US
dc.subjectReceptor editingen_US
dc.titleA new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations
dc.typeArticle

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