A novel kriging-assisted algorithm is proposed for omputationally expensive multi-objective optimization problems, uch as those which arise in electromagnetic design. The algo-ithm combines the multiple objectives into a single objective, yhich it then optimizes using a one-stage method from single-bjective optimization. Its efficiency is demonstrated by compar->on to a random search on a difficult test function.
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