In this paper a genetic algorithm based optimal design of an axial flux permanent magnet motor (AFPMM) is proposed. This approach employs a genetic algorithm (GA) technique as a search tool for optimal design solution of a AFPMM based on the value of the objective function. The sum of the efficiency of the motor, the inverse value of the permanent magnet total mass and the inverse value of the total copper mass is selected as a multi-objective function. An overall comparative analysis of the optimisation parameters and the values of certain important motor parameter of the prototype model and the optimal solution motor is presented.
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