High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft
- DOI
- 10.1007/s00158-024-03785-z
- Published
- 2023-11-10T15:48:51Z
- Container
- Struct Multidisc Optim 67, 81 (2024)
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s00158-024-03785-z,
title = {High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft},
author = {Paul Saves and Youssef Diouane and Nathalie Bartoli and Thierry Lefebvre and Joseph Morlier},
year = {2023},
journal = {Struct Multidisc Optim 67, 81 (2024)},
doi = {10.1007/s00158-024-03785-z},
url = {https://doi.org/10.1007/s00158-024-03785-z}
}RIS
TY - JOUR TI - High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft AU - Paul Saves AU - Youssef Diouane AU - Nathalie Bartoli AU - Thierry Lefebvre AU - Joseph Morlier PY - 2023 JO - Struct Multidisc Optim 67, 81 (2024) DO - 10.1007/s00158-024-03785-z UR - https://doi.org/10.1007/s00158-024-03785-z ER -
APA
Saves, P., Diouane, Y., Bartoli, N., Lefebvre, T., & Morlier, J. (2023). High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft. Struct Multidisc Optim 67, 81 (2024). https://doi.org/10.1007/s00158-024-03785-z
Source records
- arxiv · retrieved 2026-09-26T12:27:37.648Z