DESIGN OPTIMIZATION OF SUBMERSIBLE INDUCTION MOTORS by MULTIOBJECTIVE FUZZY GENETIC ALGORITHM

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dc.contributor.authorCunkas, Mehmet
dc.contributor.authorUrkmez, Abdullah
dc.date.accessioned2020-03-26T17:26:37Z
dc.date.available2020-03-26T17:26:37Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThis paper presents multiobjective fuzzy genetic algorithm optimization approach to a submersible motor design. Utilizing the concept of fuzzy sets and convex fuzzy decision making, the motor design task is formulated as a multiobjective fuzzy optimization problem and solved using a genetic algorithm. The two-dimensional Finite Element Method (FEM) is then used to confirm the validity of the optimal design. The optimization results show the effectiveness and achievement of the proposed method.en_US
dc.identifier.endpage653en_US
dc.identifier.issn1300-1884en_US
dc.identifier.issue3en_US
dc.identifier.startpage645en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22302
dc.identifier.volume23en_US
dc.identifier.wosWOS:000273014100015en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherGAZI UNIV, FAC ENGINEERING ARCHITECTUREen_US
dc.relation.ispartofJOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectMultiobjective fuzzy optimizationen_US
dc.subjectsubmersible motoren_US
dc.subjectgenetic algorithmsen_US
dc.subjectfinite element methoden_US
dc.titleDESIGN OPTIMIZATION OF SUBMERSIBLE INDUCTION MOTORS by MULTIOBJECTIVE FUZZY GENETIC ALGORITHMen_US
dc.typeArticleen_US

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