A Python surrogate modeling framework with derivatives MA Bouhlel, JT Hwang, N Bartoli, R Lafage, J Morlier, JRRA Martins Advances in Engineering Software 135, 102662, 2019 | 330 | 2019 |
Improving kriging surrogates of high-dimensional design models by Partial Least Squares dimension reduction MA Bouhlel, N Bartoli, A Otsmane, J Morlier Structural and Multidisciplinary Optimization 53, 935-952, 2016 | 243 | 2016 |
Gradient-enhanced kriging for high-dimensional problems MA Bouhlel, J Martins R.R.A. Engineering with Computers, 2018 | 150 | 2018 |
Efficient global optimization for high-dimensional constrained problems by using the Kriging models combined with the partial least squares method MA Bouhlel, N Bartoli, RG Regis, A Otsmane, J Morlier Engineering Optimization, 1-16, 2018 | 137* | 2018 |
Data-based approach for fast airfoil analysis and optimization J Li, MA Bouhlel, JRRA Martins AIAA Journal 57 (2), 581-596, 2019 | 114 | 2019 |
Scalable gradient–enhanced artificial neural networks for airfoil shape design in the subsonic and transonic regimes MA Bouhlel, S He, JRRA Martins Structural and Multidisciplinary Optimization 61 (4), 1363-1376, 2020 | 70 | 2020 |
An improved approach for estimating the hyperparameters of the kriging model for high-dimensional problems through the partial least squares method MA Bouhlel, N Bartoli, A Otsmane, J Morlier Mathematical Problems in Engineering 2016, 2016 | 65 | 2016 |
Multi-fidelity efficient global optimization: Methodology and application to airfoil shape design M Meliani, N Bartoli, T Lefebvre, MA Bouhlel, JRRA Martins, J Morlier AIAA aviation 2019 forum, 3236, 2019 | 41 | 2019 |
An adaptive optimization strategy based on mixture of experts for wing aerodynamic design optimization N Bartoli, T Lefebvre, S Dubreuil, R Olivanti, N Bons, JRRA Martins, ... 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 4433, 2017 | 41 | 2017 |
Improvement of efficient global optimization with application to aircraft wing design N Bartoli, MA Bouhlel, I Kurek, R Lafage, T Lefebvre, J Morlier, R Priem, ... 17th AIAA/ISSMO Multidisciplinary analysis and optimization conference, 4001, 2016 | 20 | 2016 |
Improvement of efficient global optimization with application to aircraft wing design N Bartoli, MA Bouhlel, I Kurek, R Lafage, T Lefebvre, J Morlier, R Priem, ... 17th AIAA/ISSMO Multidisciplinary analysis and optimization conference, 4001, 2016 | 20 | 2016 |
Improvement of efficient global optimization with mixture of experts: methodology developments and preliminary results in aircraft wing design N Bartoli, I Kurek, R Lafage, T Lefebvre, R Priem, MA Bouhlel, J Morlier, ... 17th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2016 | 11 | 2016 |
High Dimensional Efficient Global Optimization via Multi-Fidelity Surrogate Modeling MM Meliani, N Bartoli, PJ Morlier, MA Bouhlel, PJRRA Martins | 2 | 2018 |
Optimisation auto-adaptative en environnement d'analyse multidisciplinaire via les modèles de krigeage combinés à la méthode PLS MA Bouhlel Institut Supérieur de l'Aéronautique et de l'Espace, 2016 | 1 | 2016 |
Optimisation auto-adaptative en environnement d'analyse multidisciplinaire via les modèles de krigeage combinés à la méthode PLS MA Bouhlel Institut Supérieur de l'Aéronautique et de l'Espace, 2016 | 1 | 2016 |
Kriging combining partial least squares for optimization in high dimension M Bouhlel, N Bartoli, J Morlier, A Ostmane EngOpt 2014, 4th International Conference on Engineering Optimization …, 2014 | 1 | 2014 |
Surrogate models for optimization in high dimension using a mixed PLS/Kriging method M Bouhlel, N Bartoli, J Morlier, A Ostmane opti2014, 1st International Conference on Engineering and Applied Sciences …, 2014 | 1 | 2014 |
Self-adaptive optimization of multidisciplinary analysis environment via Kriging models combined with the PLS method MA Bouhlel HAL 2016, 2016 | | 2016 |
Surrogate models for optimization in high dimension using a mixed Kriging/PLS method M Bouhlel, N Bartoli, J Morlier, A Otsmane 8th international Conference on Partial Least Squares and Related Methods …, 2014 | | 2014 |