Surrogates and Infill Criteria to solve Electromagnetic Problems

Abstract

The Surrogate Based Optimization is largely used in engineering design to find optimal performance characteristics of computational expensive simulations such as Finite Element Method (FEM). An original multiple surrogate based optimization criterion is proposed. The approach was tested on Loney‘s solenoid benchmark problem. Simulation results and comparisons with some traditional Kriging based global optimization (TKO) methods show that the proposed method can be used very effectively in electromagnetic design optimization.