On the development of a practical Bayesian optimization algorithm for expensive experiments and simulations with changing environmental conditions

Experiments in engineering are typically conducted in controlled environments where parameters can be set to any desired value. This assumes that the same applies in a real-world setting, which is often incorrect as many experiments are influenced by uncontrollable environmental conditions such as t...

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Bibliographic Details

Published in:	Data-Centric Engineering
Main Authors:	Mike Diessner, Kevin J. Wilson, Richard D. Whalley
Format:	Article
Language:	English
Published:	Cambridge University Press 2024-01-01
Subjects:	Bayesian optimization black-box optimization computer emulator Gaussian processes wind farm optimization
Online Access:	https://www.cambridge.org/core/product/identifier/S2632673624000406/type/journal_article