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

Abstract

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.