A robust optimal methodology using ant colony algorithm for inverse problems

Issue title: Proceedings from the 16th International Symposium on Applied Electromagnetics and Mechanics (ISEM 2013)

Guest editors: Xavier Maldague and Toshiyuki Takagi

Article type: Research Article

Authors: Zhang, Wei^a | Yang, Shiyou^{a; *} | Bai, Yanan^a

Affiliations: [a] College of Electrical Engineering, Zhejiang University, Hangzhou, Zhejiang, China | Université Laval, Canada | Tohoku University, Japan

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

Abstract: To develop an efficient robust optimal method for numerical solutions of inverse problems, a metaheuristic based on ant colony optimization (ACO) algorithms is proposed. In accordance to robust design specifications, the algorithm iterative procedures are redesigned, and the methodology and mechanism for reducing the heavy computational burdens associated with robust performance computations are introduced. To validate the feasibility and showcase the merits, of the proposed method, it is used to solve an engineering inverse problem with promising results.

Keywords: Ant colony algorithm, inverse problem, robustness, uncertainty

DOI: 10.3233/JAE-141896

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 45, no. 1-4, pp. 703-708, 2014