A comparative study of population-based optimization algorithms for turning operations

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dc.authorid0000-0003-1790-6987en_US
dc.contributor.authorYıldız, Ali Rıza
dc.date.accessioned2021-03-20T20:16:03Z
dc.date.available2021-03-20T20:16:03Z
dc.date.issued2012
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Makine Mühendisliği Bölümüen_US
dc.description.abstractIn manufacturing industry, turning operations are used to remove unwanted sections of a part to obtain the final product. In this paper a comparison of state-of-the-art optimization techniques to solve multi-pass turning optimization problems is presented. Furthermore, a hybrid technique based on differential evolution algorithm is introduced for solving manufacturing optimization problems. The results have demonstrated the superiority of the hybrid approach over the other techniques like artificial bee colony algorithm, differential evolution algorithm, hybrid particle swarm optimization algorithm, hybrid artificial immune-hill climbing algorithm, hybrid taguchi-harmony search algorithm, hybrid robust genetic algorithm, scatter search algorithm, genetic algorithm and an improved simulated annealing algorithm in terms of convergence speed and efficiency by measuring the number of function evaluations required. (C) 2012 Elsevier Inc. All rights reserved.en_US
dc.identifier.doi10.1016/j.ins.2012.03.005en_US
dc.identifier.endpage88en_US
dc.identifier.issn0020-0255
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage81en_US
dc.identifier.urihttp://doi.org/10.1016/j.ins.2012.03.005
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1267
dc.identifier.volume210en_US
dc.identifier.wosWOS:000307198600005en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorYıldız, Ali Rıza
dc.language.isoenen_US
dc.publisherElsevier Science Incen_US
dc.relation.ispartofInformation Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMulti-pass turningen_US
dc.subjectDifferential evolution algorithmen_US
dc.subjectHybrid optimizationen_US
dc.titleA comparative study of population-based optimization algorithms for turning operationsen_US
dc.typeArticleen_US

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