An improved vector evolutionary algorithm for multiobjective designs of electromagnetic devices

Issue title: Proceedings of the twelfth International Symposium on Interdisciplinary Electromagnetic, Mechanic and Biomedical Problems, ISEM Bad Gastein

Article type: Research Article

Authors: Nie, Man^a | Yang, Shiyou^{a; *} | Ni, Guangzheng^a | Ho, S.L.^b | Ni, Peihong^a

Affiliations: [a] College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, China | [b] Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong

Correspondence: [*] Corresponding author. Fax: +86 571 87951625; E-mail: [email protected]

Abstract: Thanks to the success in the design of a simple sharing function, the introduction of a novel fitness assignment strategy, and the development of a new local search procedure, this paper proposes an improved evolutionary algorithm for optimal problems involving several, often conflicting objectives. The simulation results on solving a mathematical function and a prototype problem reveal that the proposed method is effective in sampling the entire Pareto-optimal front and in distributing the generated solutions over the trade-off surface.

Keywords: Optimal design, evolutionary algorithm, multiobjective optimization, pareto optimal

DOI: 10.3233/JAE-2007-765

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 25, no. 1-4, pp. 711-715, 2007