The problem with electric machine optimization can be specified as searching for a compromise between requirements manufacturer's and user's. Optimum design depends on several parameters, therefore it is very difficult fo find real optimum. The evolutionary methods seem to be a way to solve this problem. In this paper there is explained the basic principle of simple Genetic algorithm with binary coding and Simulated Annealing algorithm. Their application to design optimization of a maximum efficiency induction motor is presented as well.
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