Electromagnetic device optimization by hybrid evolution strategy approaches
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.
evolution electromagnetic fields optimization techniques newton method chaos theory