Design optimization of submersible induction motors by multiobjective fuzzy genetic algorithm [Çok kri?terli? bulanik genetivk algorivtma i?le dalgiç asenkron motorlarin tasarim optivmi?zasyonu]
Çunkaş M.; Ürkmez A.;
Design optimization of submersible induction motors by multiobjective fuzzy genetic algorithm [Çok kri?terli? bulanik genetivk algorivtma i?le dalgiç asenkron motorlarin tasarim optivmi?zasyonu]
This 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.
- Selçuk University Turkey
Finite element method, Genetic algorithms, Multiobjective fuzzy optimization, Submersible motor
Finite element method, Genetic algorithms, Multiobjective fuzzy optimization, Submersible motor
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