 | Monter d'un niveau |
Priem, R., Diouane, Y., Bartoli, N., Dubreuil, S., & Saves, P. (2024). High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings. AIAA Journal, 1-13. Lien externe
Saves, P., Diouane, Y., Bartoli, N., Lefèbvre, T., & Morlier, J. (2024). High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft. Structural and Multidisciplinary Optimization, 67, 81 (22 pages). Lien externe
Saves, P., Lafage, R., Bartoli, N., Diouane, Y., Bussemaker, J., Lefèbvre, T., Hwang, J. T., Morlier, J., & Martins, J. R. R. A. (2024). SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes. Advances in Engineering Software, 188, 103571 (16 pages). Lien externe
Tfaily, A., Diouane, Y., Bartoli, N., & Kokkolaras, M. (2024). Bayesian optimization with hidden constraints for aircraft design. (Rapport technique n° G-2024-10). Lien externe
Tfaily, A., Diouane, Y., Bartoli, N., & Kokkolaras, M. (2024). Bayesian optimization with hidden constraints for aircraft design. Structural and Multidisciplinary Optimization, 67, 13 (18 pages). Lien externe
