This paper presents a surrogate-assisted optimization process to design multilayer magnetic shields. The method builds the surrogate of the original problem to reduce the time consuming 3D calculation. Response surface approximation (RSA) is applied to construct a surrogate from a physics-based model. Evaluation time of the surrogate is negligible. The optimum design found by the surrogate is then refined using space mapping technique to give the location of the optimum design of the original model. The method is applied to optimize a double shield to demonstrate its efficiency.
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