An quantum-inspired evolutionary algorithm applied to design optimizations of electromagnetic devices

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

Article type: Research Article

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

Affiliations: [a] College of Electrical Engineering, Zhejiang University, Hangzhou, China

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

Abstract: To eliminate the deficiency of traditional evolutionary algorithms in numerical implementations with respect to the three key operators such as selection, crossover and mutation operators, a new evolutionary algorithm based on probabilistic models, the quantum-inspired evolutionary algorithm (QEA), is studied for design optimizations of electromagnetic devices. In the proposed QEA, an adaptive update formulation is proposed for the rotation angle to balance the exploration and exploiting searches while the two level information sharing is simplified to one level one to facilitate the implementation of the proposed algorithm. Also, a new information sharing mechanism is introduced. The proposed algorithm is evaluated on an engineering inverse problem with promising results.

Keywords: Quantum-inspired evolutionary algorithm, inverse problem, evolutionary algorithm based on probabilistic models

DOI: 10.3233/JAE-2012-1447

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 39, no. 1-4, pp. 89-95, 2012