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 | 342 | 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 | 248 | 2016 |
Efficient global optimization for high-dimensional constrained problems by using the Kriging models combined with the partial least squares method M Amine Bouhlel, N Bartoli, RG Regis, A Otsmane, J Morlier Engineering Optimization 50 (12), 2038-2053, 2018 | 141 | 2018 |
Adaptive modeling strategy for constrained global optimization with application to aerodynamic wing design N Bartoli, T Lefebvre, S Dubreuil, R Olivanti, R Priem, N Bons, ... Aerospace Science and technology 90, 85-102, 2019 | 112 | 2019 |
Surrogate modeling approximation using a mixture of experts based on EM joint estimation D Bettebghor, N Bartoli, S Grihon, J Morlier, M Samuelides Structural and multidisciplinary optimization 43, 243-259, 2011 | 73 | 2011 |
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 (1), 6723410, 2016 | 69 | 2016 |
Exploration and sizing of a large passenger aircraft with distributed ducted electric fans A Sgueglia, P Schmollgruber, N Bartoli, O Atinault, E Benard, J Morlier 2018 AIAA Aerospace Sciences Meeting, 1745, 2018 | 53 | 2018 |
Multidisciplinary design optimization framework with coupled derivative computation for hybrid aircraft A Sgueglia, P Schmollgruber, N Bartoli, E Benard, J Morlier, J Jasa, ... Journal of Aircraft 57 (4), 715-729, 2020 | 50 | 2020 |
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 | 49 | 2017 |
Upper trust bound feasibility criterion for mixed constrained Bayesian optimization with application to aircraft design R Priem, N Bartoli, Y Diouane, A Sgueglia Aerospace Science and Technology 105, 105980, 2020 | 47 | 2020 |
SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes P Saves, R Lafage, N Bartoli, Y Diouane, J Bussemaker, T Lefebvre, ... Advances in Engineering Software 188, 103571, 2024 | 42 | 2024 |
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 | 42 | 2019 |
Methodological enhancements in MDO process investigated in the AGILE European project T Lefebvre, N Bartoli, S Dubreuil, M Panzeri, R Lombardi, R D'Ippolito, ... 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 4140, 2017 | 42 | 2017 |
Robust and high‐order effective boundary conditions for perfectly conducting scatterers coated by a thin dielectric layer N Bartoli, A Bendali IMA journal of applied mathematics 67 (5), 479-508, 2002 | 41 | 2002 |
Use of a certification constraints module for aircraft design activities P Schmollgruber, N Bartoli, J Bedouet, S Defoort, Y Gourinat, E Benard, ... 17th AIAA aviation technology, integration, and operations conference, 3762, 2017 | 34 | 2017 |
Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes M Menz, S Dubreuil, J Morio, C Gogu, N Bartoli, M Chiron Structural Safety 93, 102116, 2021 | 33 | 2021 |
Extreme value oriented random field discretization based on an hybrid polynomial chaos expansion—Kriging approach S Dubreuil, N Bartoli, C Gogu, T Lefebvre, JM Colomer Computer Methods in Applied Mechanics and Engineering 332, 540-571, 2018 | 32 | 2018 |
Streamlining cross-organizational aircraft development: results from the AGILE project PD Ciampa, PS Prakasha, F Torrigiani, JN Walther, T Lefebvre, N Bartoli, ... AIAA Aviation 2019 Forum, 3454, 2019 | 30 | 2019 |
An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design. R Priem, H Gagnon, I Chittick, S Dufresne, Y Diouane, N Bartoli AIAA aviation 2020 forum, 3152, 2020 | 29 | 2020 |
Propagation of modeling uncertainty by polynomial chaos expansion in multidisciplinary analysis S Dubreuil, N Bartoli, C Gogu, T Lefebvre Journal of Mechanical Design 138 (11), 111411, 2016 | 28 | 2016 |