Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs

• Main Authors: Low, Andre Kai Yuan, Mekki-Berrada, Flore, Gupta, Abhishek, Ostudin, Aleksandr, Xie, Jiaxun, Vissol-Gaudin, Eleonore, Lim, Yee-Fun, Li, Qianxiao, Ong, Yew Soon, Khan, Saif A., Hippalgaonkar, Kedar
• 其他作者: School of Materials Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2024
• 主題: Engineering; Bayesian optimization; Multi-objective problem
• 在線閱讀: https://hdl.handle.net/10356/178838
• 機構: Nanyang Technological University

The development of automated high-throughput experimental platforms has enabled fast sampling of high-dimensional decision spaces. To reach target properties efficiently, these platforms are increasingly paired with intelligent experimental design. However, current optimizers show limitations in mai...