A hybrid multiobjective differential evolution method for electromagnetic device optimization

• Piergiorgio Alotto ^[1]
  1. [1] Università di Padova
• Localización: Compel: International journal for computation and mathematics in electrical and electronic engineering, ISSN 0332-1649, Vol. 30, Nº 6 (Special Issue: Advances in Computational Electromagnetics), 2011, págs. 1815-1828
• Idioma: inglés
• Enlaces
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• Resumen

  • Purpose – The purpose of this paper is to show that the performance of differential evolution (DE) can be substantially improved by a combination of techniques. These enhancements are applicable to both single and multiobjective problems. Their combined use allows the optimization of complex 3D electromagnetic devices.

    Design/methodology/approach – DE is improved by a combination of techniques which are applied in a cascade way and their single and combined effect is tested on well‐known benchmarks and domain‐specific applications.

    Findings – It is shown that the combined use of enhancement techniques provides substantial improvements in the speed of convergence for both single and multiobjective problems.

    Research limitations/implications – The increased speed of convergence may come at the price of a somewhat decreased robustness. However, such behavior is justified by the CPU time constraints under which the optimization has to be performed.

    Practical implications – The proposed approach appears to be an efficient general purpose stochastic optimizer for electromagnetic design problems.

    Originality/value – This paper explorers the combined use of many of the most recent and successful algorithmic improvements to DE and applies them to both single and multiobjective problems.