Utilizing genetic algorithms for the optimal design of electromagnetic devices

Abstract

The application of genetic algorithms (GAs) to the design optimization of electromagnetic devices is presented. The method is applied to a magnetizer to design its pole face. Optimization is sought to achieve a desired magnetic flux density distribution in the device. The shape of the pole face is constructed from the control points by means of uniform nonrational b-splines. The results obtained signify the efficiency of the method.