Abstract
A comparison between a classical parametric NSGA (Non-dominated Sorting Genetic Algorithm) and a non-parametric NSKA (Non domination Sorting Kinetic Algorithm) optimization method is proposed on a benchmark problem of inverse induction heating characterized by two conflicting objectives.
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