| Algorithm 909: NOMAD: Nonlinear optimization with the MADS algorithm S Le Digabel ACM Transactions on Mathematical Software (TOMS) 37 (4), 1-15, 2011 | 973 | 2011 |
| Performance indicators in multiobjective optimization C Audet, J Bigeon, D Cartier, S Le Digabel, L Salomon European journal of operational research 292 (2), 397-422, 2021 | 586 | 2021 |
| The NOMAD project C Audet, S Le Digabel, C Tribes, VR Montplaisir Software available at https://www. gerad. ca/nomad, 2011 | 418* | 2011 |
| OrthoMADS: A deterministic MADS instance with orthogonal directions MA Abramson, C Audet, JE Dennis Jr, S Le Digabel SIAM Journal on Optimization 20 (2), 948-966, 2009 | 364 | 2009 |
| Nonsmooth optimization through mesh adaptive direct search and variable neighborhood search C Audet, V Béchard, S Le Digabel Journal of Global Optimization 41, 299-318, 2008 | 274 | 2008 |
| Pooling problem: Alternate formulations and solution methods C Audet, J Brimberg, P Hansen, S Le Digabel, N Mladenović Management science 50 (6), 761-776, 2004 | 222 | 2004 |
| Modeling an augmented Lagrangian for blackbox constrained optimization RB Gramacy, GA Gray, S Le Digabel, HKH Lee, P Ranjan, G Wells, ... Technometrics 58 (1), 1-11, 2016 | 203 | 2016 |
| Two decades of blackbox optimization applications S Alarie, C Audet, AE Gheribi, M Kokkolaras, S Le Digabel EURO Journal on Computational Optimization 9, 100011, 2021 | 202 | 2021 |
| A taxonomy of constraints in black-box simulation-based optimization S Le Digabel, SM Wild Optimization and Engineering 25 (2), 1125-1143, 2024 | 173* | 2024 |
| Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian V Picheny, RB Gramacy, S Wild, S Le Digabel Advances in neural information processing systems 29, 2016 | 152 | 2016 |
| Use of quadratic models with mesh-adaptive direct search for constrained black box optimization AR Conn, S Le Digabel Optimization Methods and Software 28 (1), 139-158, 2013 | 140 | 2013 |
| Globalization strategies for mesh adaptive direct search C Audet, JE Dennis Jr, S Le Digabel Computational Optimization and Applications 46 (2), 193-215, 2010 | 135 | 2010 |
| Algorithm 1027: NOMAD Version 4: Nonlinear Optimization with the MADS Algorithm C Audet, S Le Digabel, VR Montplaisir, C Tribes ACM Transactions on Mathematical Software (TOMS) 48 (3), 1-22, 2022 | 126 | 2022 |
| Parallel space decomposition of the mesh adaptive direct search algorithm C Audet, JE Dennis Jr, S Le Digabel SIAM Journal on Optimization 19 (3), 1150-1170, 2008 | 114 | 2008 |
| Exact and heuristic solutions of the global supply chain problem with transfer pricing S Perron, P Hansen, S Le Digabel, N Mladenović European Journal of Operational Research 202 (3), 864-879, 2010 | 98 | 2010 |
| Tight-and-cheap conic relaxation for the AC optimal power flow problem C Bingane, MF Anjos, S Le Digabel IEEE Transactions on Power Systems 33 (6), 7181-7188, 2018 | 86 | 2018 |
| The mesh adaptive direct search algorithm for granular and discrete variables C Audet, S Le Digabel, C Tribes SIAM Journal on Optimization 29 (2), 1164-1189, 2019 | 82 | 2019 |
| Evaluation of machine learning interpolation techniques for prediction of physical properties E Bélisle, Z Huang, S Le Digabel, AE Gheribi Computational Materials Science 98, 170-177, 2015 | 81 | 2015 |
| Tight-and-cheap conic relaxation for the optimal reactive power dispatch problem C Bingane, MF Anjos, S Le Digabel IEEE transactions on power systems 34 (6), 4684-4693, 2019 | 80 | 2019 |
| Calculating optimal conditions for alloy and process design using thermodynamic and property databases, the FactSage software and the Mesh Adaptive Direct Search algorithm AE Gheribi, C Audet, S Le Digabel, E Bélisle, CW Bale, AD Pelton Calphad 36, 135-143, 2012 | 74 | 2012 |
Charles AudetPolytechnique Montreal and GERADVerified email at gerad.ca
