Electromagnetic topology optimization using large-step markov chain method with novel local optimization algorithm

Article type: Research Article

Authors: Im, Chang-Hwan^{a; *} | Kim, Hong-Kyu^b | Jung, Hyun-Kyo^a

Affiliations: [a] School of Electrical Engineering (ENG420-040), Seoul National University San 56-1, Shillim-dong, Kwanak-gu, 151-742, Seoul, Korea | [b] Advanced Power Apparatus Group, KERI, P.O Box 20, Changwon, 641-600, Korea

Correspondence: [*] Corresponding author. Tel.: +82 2 880 7262; Fax: +82 2 878 1452; E-mail: ichism@elecmech.smu.ac.kr

Abstract: In this paper, a new technique for electromagnetic topology optimization is proposed. The proposed technique is based on the large-step Markov chain (LSMC) method with novel local optimization algorithm. Because the proposed algorithm keeps a good convergence characteristic of LSMC, very fast convergence is assured. The proposed LSMC is verified by an application to an inverse reconstruction problem.

Keywords: electromagnetic topology optimization, large-step Markov chain (LSMC), inverse reconstruction problem

DOI: 10.3233/JAE-2003-291

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 18, no. 4, pp. 259-267, 2003