Comparison of stochastic optimization methods for design optimization of permanent magnet synchronous motor

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dc.contributor.authorMutluer, Mumtaz
dc.contributor.authorBilgin, Osman
dc.date.accessioned2020-03-26T18:24:27Z
dc.date.available2020-03-26T18:24:27Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThis study presents design optimization of permanent magnet synchronous motor by using different artificial intelligence methods. For this purpose, three stochastic optimization methods-genetic algorithm, simulated annealing, and differential evolution-were used. Motor design parameters and efficiency results obtained by the artificial intelligence methods were compared with each other. The results were later checked by finite element analysis. Consequently, the motor efficiencies obtained from the algorithms have high accuracy. Approaches strategies of the artificial intelligence algorithms are quite sufficient and remarkable for design optimization of permanent magnet synchronous motor. The differential evolution is better and more reliable optimization method nevertheless.en_US
dc.description.sponsorshipSelcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThis study is supported by the Scientific Research Projects of Selcuk University.en_US
dc.identifier.doi10.1007/s00521-011-0627-1en_US
dc.identifier.endpage2056en_US
dc.identifier.issn0941-0643en_US
dc.identifier.issn1433-3058en_US
dc.identifier.issue8en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2049en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s00521-011-0627-1
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27850
dc.identifier.volume21en_US
dc.identifier.wosWOS:000309878400024en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPRINGER LONDON LTDen_US
dc.relation.ispartofNEURAL COMPUTING & APPLICATIONSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectPermanent magnet synchronous motoren_US
dc.subjectDesign optimizationen_US
dc.subjectGenetic algorithmen_US
dc.subjectSimulated annealingen_US
dc.subjectDifferential evolutionen_US
dc.titleComparison of stochastic optimization methods for design optimization of permanent magnet synchronous motoren_US
dc.typeArticleen_US

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