| 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 | 368 | 2019 |
| GEMS: a Python library for automation of multidisciplinary design optimization process generation F Gallard, C Vanaret, D Guénot, V Gachelin, R Lafage, B Pauwels, ... 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2018 | 59 | 2018 |
| 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 | 57 | 2024 |
| WhatsOpt: a web application for multidisciplinary design analysis and optimization R Lafage, S Defoort, T Lefebvre AIAA Aviation 2019 Forum, 2990, 2019 | 37 | 2019 |
| 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 | 36 | 2017 |
| Towards the industrialization of new mdo methodologies and tools for aircraft design A Gazaix, F Gallard, V Gachelin, T Druot, S Grihon, V Ambert, D Guénot, ... 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 3149, 2017 | 29 | 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 | 22 | 2016 |
| Industrial application of an advanced bi-level MDO formulation to aircraft engine pylon optimization A Gazaix, F Gallard, V Ambert, D Guénot, M Hamadi, S Grihon, ... AIAA Aviation 2019 Forum, 3109, 2019 | 21 | 2019 |
| The clean sky programme: environmental benefits at aircraft level M Brunet, S Aubry, R Lafage 15th AIAA Aviation Technology, Integration, and Operations Conference, 2390, 2015 | 15 | 2015 |
| 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 | 14 | 2016 |
| Multi-objective bayesian optimization with mixed-categorical design variables for expensive-to-evaluate aeronautical applications N Bartoli, T Lefebvre, R Lafage, P Saves, Y Diouane, J Morlier, ... AEROBEST 2023 1 (1), 436, 2023 | 5 | 2023 |
| The Clean Sky Technology Evaluator: review and results of the environmental impact assessment at mission level R Lafage, S Aubry 16th AIAA aviation technology, integration, and operations conference, 3745, 2016 | 5 | 2016 |
| egobox, a Rust toolbox for efficient global optimization R Lafage Journal of Open Source Software 7 (78), 4737, 2022 | 4 | 2022 |
| Disciplinary surrogates for gradient-based optimization of multidisciplinary systems I Cardoso, S Dubreuil, N Bartoli, C Gogu, M Salaün, R Lafage ECCOMAS Thematic Conference 2023, 2023 | 3 | 2023 |
| System Architecture Optimization Strategies: Dealing with Expensive Hierarchical Problems JH Bussemaker, P Saves, N Bartoli, T Lefebvre, R Lafage | 2 | 2024 |
| The clean sky technology evaluator information system M Brunet, R Lafage, S Aubry 2013 Aviation Technology, Integration, and Operations Conference, 4316, 2013 | 2 | 2013 |
| System-of-systems Modeling and Optimization: An Integrated Framework for Intermodal Mobility P Saves, J Bussemaker, R Lafage, T Lefebvre, N Bartoli, Y Diouane, ... ODAS 2024: 24th joint ONERA-DLR Aerospace Symposium, 2024 | | 2024 |
| A Python Toolbox for Data-Driven Aerodynamic Modeling Using Sparse Gaussian Processes H Valayer, N Bartoli, M Castaño-Aguirre, R Lafage, T Lefebvre, ... Aerospace 11 (4), 260, 2024 | | 2024 |
| Docs. rs R Lafage | | 2022 |
| Crate egobox Copy item path R Lafage | | 2022 |
