An optimal material distribution design of Brushless DC motor by genetic algorithm considering a cluster of material

This paper proposes a topology optimization method to optimize the material distribution of electrical machines using Genetic Algorithm (GA). In the method, a cluster of material is taken into account to form a group of iron. Moreover, the GA is iterated with the newly increased length of genes. The proposed method is applied to the topology optimization of the stator teeth in a Brushless DC motor.