Binary-based topology optimization of magnetostatic shielding by a hybrid evolutionary algorithm combining genetic algorithm and extended compact genetic algorithm

Yusuke Tominaga, Yoshifumi Okamoto*, Shinji Wakao, Shuji Sato

*この研究の対応する著者

研究成果: Article査読

28 被引用数 (Scopus)

抄録

Topology optimization using the binary information of magnetic material is one of the most attractive simulations for the conceptual design of electrical machines. Heuristic algorithms based on random search allow engineers to define general-purpose objects with various constraint conditions. However, it is difficult for topology optimization to realize a practical solution without island and void distribution. In this paper, we propose a hybrid evolutionary algorithm that is composed of a genetic algorithm (GA) and extended compact GA (ECGA). We verify the effectiveness of the proposed algorithm on the binary topology optimization problem for the design of magnetostatic shielding.

本文言語English
論文番号6514632
ページ(範囲)2093-2096
ページ数4
ジャーナルIEEE Transactions on Magnetics
49
5
DOI
出版ステータスPublished - 2013

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 電子工学および電気工学

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