A fast evolutionary method for identifying non‐inferior solutions in multicriteria shape optimization of a shielded reactor

When tackling the multicriteria optimization of an electromagnetic device, the accurate sampling of the Pareto optimal front implies the use of complex and time‐consuming algorithms. In several cases, however, the identification of a few non‐inferior solutions is often sufficient for the design purposes; as a consequence, the computational cost may be reduced. A simple evolutionary methodology is proposed to obtain a fast approximation of non‐inferior solutions; the optimal shape design of a shielded reactor is presented as a case study.