This paper presents two methods employed for the optimal design of an electromagnetic induction heating device, the first one utilizing the modeling of the induction heating device using the finite element method (FEM), which considers the electromagnetic field coupled with the thermal field. This model is used by a multiobjective genetic algorithm (MOGA), which aims to maximize electrical efficiency and to obtain a heating of the workpiece that is as uniform as possible. The second method uses metamodeling techniques (surrogate modeling) for the optimal design of the electromagnetic induction heating device. At the end of the paper we compare the numerical results obtained by the two methods.

Keywords: Induction heating, Finite element method, Metamodeling, Surrogate modeling, Optimization, Multiobjective optimization, Genetic algorithms