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Optimal design of permanent-magnet motor using autotuning niching genetic algorithm

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4 Author(s)
Dong-Hyeok Cho ; Sch. of Electr. Eng., Seoul Nat. Univ., South Korea ; Jae-Kwang Kim ; Hyun-Kyo Jung ; Cheol-Gyun Lee

A genetic algorithm using a niching method can be applied to a problem that requires multiple solutions in the search space. A novel niching genetic algorithm automatically tuning up the population size and niche radii is proposed. The proposed autotuning concept is embodied in a clearing method, elitism, and a deterministic method. Through application to the numerical examples and an optimal design of interior permanent-magnet synchronous motor, it is verified that the proposed method is appropriate for the design of electric machines.

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Magnetics, IEEE Transactions on  (Volume:39 ,  Issue: 3 )