A modified lambda algorithm for optimization in electromagnetics. Issue 3 (2014)

• Record Type: Journal Article
• Other Names: Special Editor.
• Is Part Of: Compel. Volume 33:Issue 3(2014)
• Page Start: 759
• Page End: 767
• Publication Date: 2014
• Subjects: Optimization techniques -- Optimal design; Electrical engineering -- Data Processing -- Periodicals; Electrical engineering -- Mathematics -- Periodicals; Electrical engineering -- Periodicals; Electronics -- Data Processing -- Periodicals; Electronics -- Mathematics -- Periodicals; 621.3
• DOI: 10.1108/COMPEL-10-2012-0224
• Languages: English
• ISSNs: 0332-1649

Abstract

Abstract : Purpose – The purpose of this paper is to show with the help widely used analytical and application‐oriented benchmark problems that a novel and relatively uncommon optimization method, lambda optimization, can be successfully applied to the solution of optimization problems in electromagnetics. Furthermore an improvement to the method is proposed and its effectiveness is validated.Design/methodology/approach – An adaptive probability factor is used within the framework of lambda optimization.Findings – It is shown that in the framework of lambda optimization (LO) the use of an adaptive probability factor can provide high‐quality solutions with small standard deviation on the selected benchmark problem.Research limitations/implications – Although the chosen benchmarks are 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 stochastic optimizer for electromagnetic design problems.Originality/value – This paper introduces and validates the use of adaptive probability factor in order to improve the balance between the explorative and exploitative characteristics of the LO algorithm. Acknowledgements : This work was supported by the National Council of Scientific and Technologic Development of Brazil – CNPq – under Grant Nos 476235/2011‐1/PQ and 304785/2011‐0/PQ and University of Padova PRAT2011 Grant No. CPDA115285.