An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design.
- DOI
- 10.2514/6.2020-3152
- Published
- 2020-06-08
- Container
- AIAA AVIATION 2020 FORUM
- Publisher
- American Institute of Aeronautics and Astronautics
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2514/6.2020-3152,
title = {An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design.},
author = {Remy Priem and Hugo Gagnon and Ian Chittick and Stephane Dufresne and Youssef Diouane and Nathalie Bartoli},
year = {2020},
journal = {AIAA AVIATION 2020 FORUM},
doi = {10.2514/6.2020-3152},
url = {https://doi.org/10.2514/6.2020-3152}
}RIS
TY - JOUR TI - An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design. AU - Remy Priem AU - Hugo Gagnon AU - Ian Chittick AU - Stephane Dufresne AU - Youssef Diouane AU - Nathalie Bartoli PY - 2020 JO - AIAA AVIATION 2020 FORUM DO - 10.2514/6.2020-3152 UR - https://doi.org/10.2514/6.2020-3152 ER -
APA
Priem, R., Gagnon, H., Chittick, I., Dufresne, S., Diouane, Y., & Bartoli, N. (2020). An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design.. AIAA AVIATION 2020 FORUM. https://doi.org/10.2514/6.2020-3152
Source records
- crossref · retrieved 2026-11-08T22:06:47.017Z