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Optimal design of electromagnetic devices: Development of an efficient optimization tool based on smart mutation operations implemented in a genetic algorithm

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  • Denies, J.
  • Ben Ahmed, H.
  • Dehez, B.

Abstract

Topology optimization methods are aimed to produce optimal design. These tools implement optimization algorithms that modify the distribution of some materials within a predefined design space without a priori ideas regarding the topology or the geometry of the best solution. In this paper, we study a specific tool that combines a genetic algorithm, a material distribution formalism based on Voronoi cells and a commercial FEM evaluation tool. In particular, this paper shows, through a simple but representative case study, that it is possible to improve the performance of the topology optimization tool during the local search phase, i.e. the geometrical and dimensional optimization phase for which the topology optimization methods are originally not well-suited.

Suggested Citation

  • Denies, J. & Ben Ahmed, H. & Dehez, B., 2013. "Optimal design of electromagnetic devices: Development of an efficient optimization tool based on smart mutation operations implemented in a genetic algorithm," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 90(C), pages 244-255.
    • Handle: RePEc:eee:matcom:v:90:y:2013:i:c:p:244-255
    DOI: 10.1016/j.matcom.2013.01.002
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    1. DENIES, Jonathan & DEHEZ, Bruno & GLINEUR, François & BEN AHMED, Hamid, 2010. "Impact of the material distribution formalism on the efficiency of evolutionary methods for topology optimization," LIDAM Reprints CORE 2242, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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