Fast Multi-Objective Optimization of Magnetic Shield Shape by Combining Auto-Encoder and Level-Set Method

Kanae Oda; Ryota Kawamata; Shinji Wakao; Noboru Murata

doi:10.1109/TMAG.2021.3074123

Fast Multi-Objective Optimization of Magnetic Shield Shape by Combining Auto-Encoder and Level-Set Method

Kanae Oda^*, Ryota Kawamata, Shinji Wakao, Noboru Murata

^*この研究の対応する著者

先進理工学部

研究成果: Article › 査読

8 被引用数 (Scopus)

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We proposed a new multi-objective optimization approach combining both gradient calculation in actual high-dimensional design space and that in a low-dimensional latent space that is an appropriately compressed design space with Auto-Encoder. The proposed approach enables us to quickly and precisely search for more global pareto solution group in multi-objective optimization by using the optimization results in the low-dimensional space as the initial value of the gradient calculation in the actual design space.

本文言語	English
論文番号	9408617
ジャーナル	IEEE Transactions on Magnetics
巻	57
号	7
DOI	https://doi.org/10.1109/TMAG.2021.3074123
出版ステータス	Published - 2021 7月

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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10.1109/TMAG.2021.3074123

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Fast Multi-Objective Optimization of Magnetic Shield Shape by Combining Auto-Encoder and Level-Set Method

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