| Progress in mathematical programming solvers from 2001 to 2020 T Koch, T Berthold, J Pedersen, C Vanaret EURO Journal on Computational Optimization 10, 100031, 2022 | 75 | 2022 |
| GT2FC: An Online Growing Interval Type-2 Self-Learning Fuzzy Classifier A Bouchachia, C Vanaret IEEE Transactions on Fuzzy Systems, 2013 | 67 | 2013 |
| 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 | 66 | 2018 |
| A Survey of Nonlinear Robust Optimization S Leyffer, M Menickelly, T Munson, C Vanaret, SM Wild INFOR: Information Systems and Operational Research, 2020 | 65 | 2020 |
| Application en gestion du trafic aérien N Durand, D Gianazza, JB Gotteland, C Vanaret, JM Alliot Métaheuristiques, 2014 | 48* | 2014 |
| Incremental Learning Based on Growing Gaussian Mixture Models A Bouchachia, C Vanaret 10th International Conference on Machine Learning and Applications and …, 2011 | 42 | 2011 |
| 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 | 31 | 2017 |
| Preventing Premature Convergence and Proving the Optimality in Evolutionary Algorithms C Vanaret, JB Gotteland, N Durand, JM Alliot International Conference on Artificial Evolution (EA-2013), 84-94, 2013 | 26 | 2013 |
| Benchmarking Conflict Resolution Algorithms C Vanaret, D Gianazza, N Durand, JB Gotteland 5th International Conference on Research in Air Transportation (ICRAT), 2012 | 26* | 2012 |
| 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 | 23 | 2019 |
| Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones? C Vanaret, P Seufert, J Schwientek, G Karpov, G Ryzhakov, I Oseledets, ... Computers & Chemical Engineering 146, 2021 | 21 | 2021 |
| Implementation and application of model-based design of experiments in a flowsheet simulator N Asprion, R Böttcher, J Mairhofer, M Yliruka, J Höller, J Schwientek, ... Journal of Chemical & Engineering Data 65 (3), 1135-1145, 2019 | 21 | 2019 |
| Certified global minima for a benchmark of difficult optimization problems C Vanaret, JB Gotteland, N Durand, JM Alliot arXiv preprint arXiv:2003.09867, 2014 | 19 | 2014 |
| On the Consequences of the “No Free Lunch” Theorem for Optimization on the Choice of MDO Architecture C Vanaret, F Gallard, JRRA Martins 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2017 | 14 | 2017 |
| Online and interactive self-adaptive learning of user profile using incremental evolutionary algorithms A Bouchachia, A Lena, C Vanaret Evolving Systems 5, 143-157, 2014 | 11 | 2014 |
| Implementing an interval computation library for OCaml on x86/amd64 architectures JM Alliot, JB Gotteland, C Vanaret, N Durand, D Gianazza 17th ACM SIGPLAN International Conference on Functional Programming, 2012 | 9 | 2012 |
| Decision support for the development, simulation and optimization of dynamic process models N Asprion, R Böttcher, J Schwientek, J Höller, P Schwartz, C Vanaret, ... Frontiers of Chemical Science and Engineering 16 (2), 210-220, 2022 | 8 | 2022 |
| An Augmented Lagrangian Filter Method S Leyffer, C Vanaret Mathematical Methods of Operations Research, 2020 | 8 | 2020 |
| Hybridization of interval methods and evolutionary algorithms for solving difficult optimization problems C Vanaret arXiv preprint arXiv:2001.11465, 2015 | 7 | 2015 |
| Interval constraint programming for globally solving catalog-based categorical optimization C Vanaret Journal of Global Optimization, 1-20, 2024 | 6* | 2024 |
Nicolas DurandENACVerified email at recherche.enac.fr
