Large permeability metamaterial design optimization for low frequency applications

Issue title: Selected papers from the International Symposium on Applied Electromagnetics and Mechanics - ISEM 2019

Guest editors: Jinhao Qiu, Ke Xiong and Hongli Ji

Article type: Research Article

Authors: Li, Yiying^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. E-mail: eesyyang@zju.edu.cn

Abstract: This paper presents a novel method for solving multi-objective optimization problems based on single-objective cellular genetic algorithm. In the proposed multi-objective cellular genetic algorithm, the objectives are divided into the primary objective and the secondary objective according to the preferences of a decision maker. The primary objective is used as the driving force for individual updating, while the secondary objective is employed as the bias force to select neighbors. The proposed approach has ensured that the secondary objective is also evolving in the optimal direction, as evidenced by the numerical results on both a mathematical test function and a prototype metamaterial unit as reported in this paper.

Keywords: Cellular genetic algorithm , metamaterial, negative permeability, optimization

DOI: 10.3233/JAE-209342

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 64, no. 1-4, pp. 369-375, 2020