Abstract
A novel kriging-assisted algorithm is proposed for computationally expensive multi-objective optimization problems, such as those which arise in electromagnetic design. The algorithm combines the multiple objectives into a single objective, which it then optimizes using a one-stage method from single-objective optimization. Inequality and equality constraint handling techniques are included, as is a method for dealing with failed iterations. Its efficiency is demonstrated on the constrained optimization of a pair of Helmholtz coils.
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