Electromagnetic device optimization by hybrid evolution strategy approaches

Abstract

PurposeThis paper aims to show on a widely used benchmark problem that chaotic sequences can improve the search ability of evolution strategies (ES).Design/methodology/approachThe 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.FindingsIt 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/implicationsAlthough the benchmark is considered to be representative of typical electromagnetic problems, different test cases may give less satisfactory results.Practical implicationsThe proposed approach appears to be an efficient general purpose optimizer for electromagnetic design problems.Originality/valueThis paper introduces the use of chaotic sequences in the area of electromagnetic design optimization.