Model Order Reduction Applied to Optimization of Electromagentic Devices

Abstract

This paper introduces the model order reduction (MOR) based on the proper orthogonal decomposition (POD) for optimization of electromagnetic devices. The computational time for optimization can be reduced by using this method. In this work, the shape of an inductor is optimized by using the adaptive genetic algorithm and MOR based on POD. It is shown that the present method provides the same optimization result as the one obtained by the conventional method with shorter computational time.