Development of multi-phase topology optimization method using CMA-ES and its application to optical devices

2019 Fiscal Year Final Research Report

• Project/Area Number: 17K17778
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Computational science; Design engineering/Machine functional elements/Tribology
• Research Institution: Shinshu University
• Principal Investigator: Fujii Garuda 信州大学, 学術研究院工学系, 准教授 (90569344)
• Project Period (FY): 2017-04-01 – 2020-03-31
• Keywords: トポロジー 最適化 / メタデバイス / メタマテリアル / CMA-ES / クローキング

Outline of Final Research Achievements

In this research, we developed a topology optimization for device design problems that involves difficult properties such as multimodality, interdependence between design variables, and high ratio of material properties. Specifically, by using the covariance matrix adaptive evolution strategy (CMA-ES) as an optimization method and implementing an adaptive penalty function method handling box constraints, its effectiveness is shown in actual design problems. By using the developed method, we succeeded in designing a cloaking device that realizes transparency and invisibility in various physics.

Free Research Field

計算力学，構造最適化，設計工学

Academic Significance and Societal Importance of the Research Achievements

開発された手法は困難な構造設計問題においても初期推定を必要とせず，性能の良い最適化構造を得ることができる．そのため，デバイス開発までの総合的な時間を大幅に短縮することが可能となり，製品開発における設計に必要な時間を短縮することが可能である．