Cunkas, MehmetUrkmez, Abdullah2020-03-262020-03-2620081300-1884https://hdl.handle.net/20.500.12395/22302This 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.trinfo:eu-repo/semantics/closedAccessMultiobjective fuzzy optimizationsubmersible motorgenetic algorithmsfinite element methodArticle233645653WOS:000273014100015N/A