Multiobjective Optimization of the Design of Nonlinear Electromagnetic Systems Using Parametric Reduced Order Models

Abstract

This paper presents a new approach for performing fast multiobjective optimization of the design 
of moving nonlinear electromagnetic (EM) devices using parametric reduced order EM field models. 
The approach minimizes the high computational costs that arises from the frequent evaluation of 
large scale spatially discretized EM field models during the optimization process run. The performance 
of the proposed approach is demonstrated by carrying out a multiobjective design optimization of an 
electromagnetic device with a moving component and nonlinear material properties.