Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics

Bayesian optimization (BO) provides an effective method to optimize expensive-to-evaluate black box functions. It has been widely applied to problems in many fields, including notably in computer science, e.g., in machine learning to optimize hyperparameters of neural networks, and in engineering, e...

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Bibliographic Details
Main Authors: Mike Diessner, Joseph O'Connor, Andrew Wynn, Sylvain Laizet, Yu Guan, Kevin Wilson, Richard D. Whalley
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fams.2022.1076296/full