Magnetic Actuator Design Using 2-D Genetic Algorithms and the Improved ON/OFF Method

The improved ON/OFF topology optimization with cell sensitivity redistribution and mutation of the genetic algorithms (GA) can obtain a new structure that could not be imaged beforehand. Stochastic algorithm, such as genetic algorithm (GA), can be used to reach the global extreme point in optimization. Based on the genetic algorithm and the improved ON/OFF method, this paper puts forward a hybrid optimization technique for topology design of electromagnetic devices. A two-dimensional (2-D) encoding technique and geometrical crossover method are applied in GA. The hybrid algorithm is used to optimization of magnetic actuator to verify its validity. The result indicates that the proposed hybrid optimization method can be used in the design and optimization of electromagnetic devices such as motors, transformers and so on.