Intelligent Design of Induction Motors by Multiobjective Fuzzy Genetic Algorithm

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dc.contributor.authorÇunkaş, Mehmet
dc.date.accessioned2020-03-26T17:49:13Z
dc.date.available2020-03-26T17:49:13Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this paper an approach using multi-objective fuzzy genetic algorithm (MFGA) for optimum design of induction motors is presented. Single-objective genetic algorithm optimization is compared with the MFGA optimization. The efficiency of those algorithms is investigated on motor's performance. The comparison results show that MFGA is able to find more compromise solutions and is promising for providing the optimum design. Besides, a design tool is developed to evaluate and analysis the steady-state characteristics of induction motors.en_US
dc.description.sponsorshipSelcuk University's Scientific Research ProjectSelcuk Universityen_US
dc.description.sponsorshipThis work is supported by the Coordinator ship of Selcuk University's Scientific Research Project.en_US
dc.identifier.citationÇunkaş, M., (2010). Intelligent Design of Induction Motors by Multiobjective Fuzzy Genetic Algorithm. Journal of Intelligent Manufacturing, (21), 393-402. Doi: 10.1007/s10845-008-0187-0
dc.identifier.doi10.1007/s10845-008-0187-0en_US
dc.identifier.endpage402en_US
dc.identifier.issn0956-5515en_US
dc.identifier.issn1572-8145en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage393en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s10845-008-0187-0
dc.identifier.urihttps://hdl.handle.net/20.500.12395/25006
dc.identifier.volume21en_US
dc.identifier.wosWOS:000279714600005en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÇunkaş, Mehmet
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofJournal of Intelligent Manufacturingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectMultiobjective fuzzy optimizationen_US
dc.subjectGenetic algorithmsen_US
dc.subjectInduction motoren_US
dc.titleIntelligent Design of Induction Motors by Multiobjective Fuzzy Genetic Algorithmen_US
dc.typeArticleen_US

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