Multiobjective optimal choice and design of isolated dc-dc power converters

@article{Versle2011MultiobjectiveOC,
  title={Multiobjective optimal choice and design of isolated dc-dc power converters},
  author={Christophe Vers{\`e}le and Olivier Deblecker and Jacques Lobry},
  journal={Proceedings of the 2011 14th European Conference on Power Electronics and Applications},
  year={2011},
  pages={1-10}
}
This paper presents a computer-aided design (CAD) tool for the design of isolated dc-dc converters. This tool, developed in Matlab environment, is based on multiobjective optimization (MO) using Genetic Algorithms (GAs). The Elitist Nondominated Sorting Genetic Algorithm (NSGA-II) is used to perform search and optimization whereas analytical models are used to model the power converters. The design problem requires minimizing the weight, losses and cost of the converter while ensuring the… CONTINUE READING

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