Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Electromagnetic topology optimization using large-step markov chain method with novel local optimization algorithm

LSMC를 이용한 전자기 위상 최적화

  • Koh Yuri (School of electrical engineering and computer science, Seoul National University) ;
  • Im Chang-Hwan (School of electrical engineering and computer science, Seoul National University) ;
  • Jung Hyun-Kyo (School of electrical engineering and computer science, Seoul National University)
  • 고유리 (서울대학교 전기 컴퓨터 공학부) ;
  • 임창환 (서울대학교 전기 컴퓨터 공학부) ;
  • 정현교 (서울대학교 전기 컴퓨터 공학부)
  • Published : 2004.07.14
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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, fast convergence is assured. The proposed LSMC is verified by an application to an inverse reconstruction problem.

Keywords