Optimization of combined thermal and electrical behavior of power converters using multi-objective genetic algorithms

A practical example of power electronic converter synthesis is presented, where a multi-objective genetic algorithm, namely non-dominated sorting genetic algorithm (NSGA-II) is used. The optimization algorithm takes an experimentally-derived thermal model for the converter into account. Experimental results are provided for verification.

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