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
An external link is available for this item| ISBN: | 9781624105982 |
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| 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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