Efficient robust optimization based on polynomial chaos and tabu search algorithm

Issue title: Selected Papers from the 15th International Symposium on Applied Electromagnetics and Mechanics (ISEM 2011)

Article type: Research Article

Authors: Wu, Lie^a | Yang, Shiyou^{a; *} | Bai, Yanan^a | Machado, José Márcio^b

Affiliations: [a] College of Electrical Engineering, Zhejiang University, Hangzhou, China | [b] São Paulo State University, São José do Rio Preto SP, Brazil

Correspondence: [*] Corresponding author: Shiyou Yang, College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, China. Fax: +86 571 8795 1625; E-mail: [email protected]

Abstract: The study of robust design methodologies and techniques has become a new topical area in design optimizations in nearly all engineering and applied science disciplines in the last 10 years due to inevitable and unavoidable imprecision or uncertainty which is existed in real word design problems. To develop a fast optimizer for robust designs, a methodology based on polynomial chaos and tabu search algorithm is proposed. In the methodology, the polynomial chaos is employed as a stochastic response surface model of the objective function to efficiently evaluate the robust performance parameter while a mechanism to assign expected fitness only to promising solutions is introduced in tabu search algorithm to minimize the requirement for determining robust metrics of intermediate solutions. The proposed methodology is applied to the robust design of a practical inverse problem with satisfactory results.

Keywords: Robust design, polynomial chaos, design optimization, tabu search algorithm

DOI: 10.3233/JAE-2012-1454

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 39, no. 1-4, pp. 145-150, 2012