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Conference Papers Year : 2003

Optimal design of electrical engineering systems using Pareto Genetic Algorithms

Abstract

This paper presents a Pareto Genetic Algorithm for multiobjective optimisation in electrical engineering design. Through a simple electromechanical system, based on an inverter-permanent magnet motor-reducer-load association described by analytical models, we discuss the efficiency and advantages of such methods. We have chosen a rather simplified case study, to emphasise advantages of this approach for optimisation issues as well as a better understanding of system couplings.
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Dates and versions

hal-04039214 , version 1 (21-03-2023)

Identifiers

  • HAL Id : hal-04039214 , version 1
  • OATAO : 9261

Cite

Jérémi Régnier, Bruno Sareni, Xavier Roboam, Stéphan Astier. Optimal design of electrical engineering systems using Pareto Genetic Algorithms. 10th International Conference on Power Electronics and Applications (EPE'2003), Sep 2003, Toulouse, France. pp.0. ⟨hal-04039214⟩
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