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An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design

Rémy Priem, Hugo Gagnon, Ian Chittick, Stéphane Dufresne, Youssef Diouane and Nathalie Bartoli

Paper (2020)

Document published while its authors were not affiliated with Polytechnique Montréal

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ISBN: 9781624105982
PolyPublie URL: https://publications.polymtl.ca/50199/
Conference Title: Multidisciplinary Analysis and Optimization Conference (AIAA AVIATION 2020 FORUM)
Conference Date(s): 2020-06-15 - 2020-06-19
Publisher: AIAA
DOI: 10.2514/6.2020-3152
Official URL: https://doi.org/10.2514/6.2020-3152
Date Deposited: 18 Apr 2023 15:01
Last Modified: 08 Apr 2025 12:24
Cite in APA 7: Priem, R., Gagnon, H., Chittick, I., Dufresne, S., Diouane, Y., & Bartoli, N. (2020, June). An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design [Paper]. Multidisciplinary Analysis and Optimization Conference (AIAA AVIATION 2020 FORUM). https://doi.org/10.2514/6.2020-3152

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