Fast Multi-objective Optimization of Magnetic Shield Shape by Combining Auto-Encoder and Level-set Method

Kanae Oda, Ryota Kawamata, Shinji Wakao, Noboru Murata

研究成果: Article査読

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
ジャーナルIEEE Transactions on Magnetics
DOI
出版ステータスAccepted/In press - 2021

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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