Resumen de Electromagnetic device optimization by hybrid evolution strategy approaches

Leandro dos Santos Coelho, Piergiorgio Alotto

• 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.