Multi-Output Variable-Fidelity Bayesian Optimization of a Common Mode Choke

In this paper, we propose a modification of the well-known kriging modeling technique and its multi-fidelity variant in order to generate a surrogate model of a vector-valued output of a common mode choke. Combined with Bayesian optimization, we solve a multi-objective optimization problem to find the tradeoff between inductance, total volume, and resonance frequency. With the proposed method, we calculate a Pareto front of the objective functions more than 200 times faster compared to the solution without the surrogate.