Electromagnetic device optimization by hybrid evolution strategy approaches

• Leandro dos Santos Coelho ^[1] ; Piergiorgio Alotto ^[2]
  1. [1] Pontifícia Universidade Católica do Paraná

     Pontifícia Universidade Católica do Paraná

     Brasil

     
  2. [2] Universi di Padova
• Localización: Compel: International journal for computation and mathematics in electrical and electronic engineering, ISSN 0332-1649, Vol. 26, Nº 2 (Selected papers from the 9th Workshop on Optimization and Inverse Problems in Electromagnetism, Sorr), 2007, págs. 269-279
• Idioma: inglés
• Enlaces
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• Resumen

  • Purpose – This paper aims to show on a widely used benchmark problem that chaotic sequences can improve the search ability of evolution strategies (ES).

    Design/methodology/approach – The Lozi map is used to generate new individuals in the framework of ES algorithms. A quasi‐Newton (QN) method is also used within the iterative loop to improve the solution's quality locally.

    Findings – It is shown that the combined use of chaotic sequences and QN methods can provide high‐quality solutions with small standard deviation on the selected benchmark problem.

    Research limitations/implications – Although the benchmark is considered to be representative of typical electromagnetic problems, different test cases may give less satisfactory results.

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

    Originality/value – This paper introduces the use of chaotic sequences in the area of electromagnetic design optimization.