抄録
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 |
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論文番号 | 9408617 |
ジャーナル | IEEE Transactions on Magnetics |
巻 | 57 |
号 | 7 |
DOI | |
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