Audet, C., Hallé-Hannan, E., & Le Digabel, S. (2023). A General Mathematical Framework for Constrained Mixed-variable Blackbox Optimization Problems with Meta and Categorical Variables. Operations Research Forum, 4(1), 37 pages.
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Le Digabel, Sébastien

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Le Digabel, Sébastien
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Article de revue (56)
Communication de conférence (12)
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Sébastien Le Digabel (75)
- Articles de revue (56)
- 2023
Article de revue
- 2022
Article de revue Audet, C., Le Digabel, S., Rochon Montplaisir, V., & Tribes, C. (2022). Algorithm 1027: NOMAD Version 4: Nonlinear Optimization with the MADS Algorithm. ACM Transactions on Mathematical Software, 48(3), 22 pages.Article de revue Lakhmiri, D., Alimo, R., & Le Digabel, S. (2022). Anomaly detection for data accountability of Mars telemetry data. Expert Systems With Applications, 189, 116060.Article de revue Dzahini, K. J., Kokkolaras, M., & Le Digabel, S. (2022). Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates. Mathematical Programming, 58 pages.Article de revue Alarie, S., Audet, C., Jacquot, P., & Le Digabel, S. (2022). Hierarchically constrained blackbox optimization. Operations Research Letters, 50(4), 446-451.Article de revue Audet, C., Le Digabel, S., & Saltet, R. (2022). Quantifying uncertainty with ensembles of surrogates for blackbox optimization. Computational Optimization and Applications, 83(1), 29-66.
- 2021
Article de revue Rodrigues de Sousa, V. J., Anjos, M. F., & Le Digabel, S. (2021). Computational study of a branching algorithm for the maximum k-cut problem. Discrete Optimization, 100656 (20 pages).Article de revue Bigeon, J., Le Digabel, S., & Salomon, L. (2021). DMulti-MADS: mesh adaptive direct multisearch for bound-constrained blackbox multiobjective optimization. Computational Optimization and Applications, 79(2), 38 pages.Article de revue Lakhmiri, D., Le Digabel, S., & Tribes, C. (2021). HyperNOMAD: Hyperparameter Optimization of Deep Neural Networks Using Mesh Adaptive Direct Search. ACM Transactions on Mathematical Software, 47(3), 27 pages.Article de revue Alarie, S., Audet, C., Bouchet, P.-Y., & Le Digabel, S. (2021). Optimization of stochastic blackboxes with adaptive precision. SIAM Journal on Optimization, 31(4), 3127-3156.Article de revue Audet, C., Bigeon, J., Cartier, D., Le Digabel, S., & Salomon, L. (2021). Performance indicators in multiobjective optimization. European Journal of Operational Research, 292(2), 397-422.Article de revue Audet, C., Le Digabel, S., & Saltet, R. (2021). Quantifying uncertainty with ensembles of surrogates for blackbox optimization. Cahiers du Gerad, 2021(37), 29 pages.Article de revue Audet, C., Dzahini, K. J., Kokkolaras, M., & Le Digabel, S. (2021). Stochastic mesh adaptive direct search for blackbox optimization using probabilistic estimates. Computational Optimization and Applications, 79, 34 pages.Article de revue Alarie, S., Audet, C., Gheribi, A. E., Kokkolaras, M., & Le Digabel, S. (2021). Two decades of blackbox optimization applications. EURO Journal on Computational Optimization, 9, 100011 (13 pages).
- 2020
Article de revue Lakhmiri, D., Alimo, R., & Le Digabel, S. (2020). Tuning a variational autoencoder for data accountability problem in the Mars Science Laboratory ground data system. Cahiers du Gerad, 2021(31), 13 pages.
- 2019
Article de revue de Souza Dutra, M. D., Anjos, M. F., & Le Digabel, S. (2019). A general framework for customized transition to smart homes. Energy, 189, 11 pages.Article de revue de Souza Dutra, M. D., Anjos, M. F., & Le Digabel, S. (2019). A realistic energy optimization model for smart-home appliances. International Journal of Energy Research, 43(8), 3237-3262.Article de revue de Sousa, V. J. R., Anjos, M. F., & Le Digabel, S. (2019). Improving the linear relaxation of maximum k-cut with semidefinite-based constraints. EURO Journal on Computational Optimization, 7(2), 123-151.Article de revue Audet, C., Le Digabel, S., & Tribes, C. (2019). The mesh adaptive direct search algorithm for granular and discrete variables. SIAM Journal on Optimization, 29(2), 1164-1189.Article de revue Bingane, C., Anjos, M. F., & Le Digabel, S. (2019). Tight-and-Cheap Conic Relaxation for the Optimal Reactive Power Dispatch Problem. IEEE Transactions on Power Systems, 34(6), 4684-4693.
- 2018
Article de revue Audet, C., Conn, A. R., Le Digabel, S., & Peyrega, M. (2018). A progressive barrier derivative-free trust-region algorithm for constrained optimization. Computational Optimization and Applications, 71(2), 307-329.Article de revue Rodrigues de Sousa, V. J., Anjos, M. F., & Le Digabel, S. (2018). Computational study of valid inequalities for the maximum k-cut problem. Annals of Operations Research, 265(1), 5-27.Article de revue Amaioua, N., Audet, C., Conn, A. R., & Le Digabel, S. (2018). Efficient solution of quadratically constrained quadratic subproblems within the mesh adaptive direct search algorithm. European Journal of Operational Research, 268(1), 13-24.Article de revue Talgorn, B., Audet, C., Le Digabel, S., & Kokkolaras, M. (2018). Locally weighted regression models for surrogate-assisted design optimization. Optimization and Engineering, 19(1), 213-238.Article de revue Gheribi, A. E., Pelton, A., Belisle, E., Le Digabel, S., & Harvey, J.-P. (2018). On the prediction of low-cost high entropy alloys using new thermodynamic multi-objective criteria. ACTA Materialia, 161, 73-82.Article de revue Audet, C., Kokkolaras, M., Le Digabel, S., & Talgorn, B. (2018). Order-based error for managing ensembles of surrogates in mesh adaptive direct search. Journal of Global Optimization, 70(3), 645-675.Article de revue Audet, C., Ihaddadene, A., Le Digabel, S., & Tribes, C. (2018). Robust optimization of noisy blackbox problems using the Mesh Adaptive Direct Search algorithm. Optimization Letters, 12(4), 675-689.Article de revue Bingane, C., Anjos, M. F., & Le Digabel, S. (2018). Tight-and-Cheap Conic Relaxation for the AC Optimal Power Flow Problem. IEEE Transactions on Power Systems, 33(6), 7181-7188.
- 2017
Article de revue Belisle, F., Saunier, N., Bilodeau, G.-A., & Le Digabel, S. (2017). Optimized video tracking for automated vehicle turning movement counts. Transportation Research Record (2645), 104-112.
- 2016
Article de revue Audet, C., Le Digabel, S., & Tribes, C. (2016). Dynamic scaling in the mesh adaptive direct search algorithm for blackbox optimization. Optimization and Engineering, 17(2), 333-358.Article de revue Gramacy, R. B., Gray, G. A., Le Digabel, S., Lee, H. K. H., Ranjan, P., Wells, G., & Wild, S. M. (2016). Modeling an augmented lagrangian for blackbox constrained optimization. Technometrics, 58(1), 11 pages.Article de revue Gramacy, R. B., Gray, G. A., Le Digabel, S., Lee, H. K. H., Rajan, P., Wells, G., & Wild, S. M. (2016). Rejoinder. Technometrics, 58(1), 26-29.Article de revue Gheribi, A. E., Harvey, J.-P., Belisle, E., Robelin, C., Chartrand, P., Pelton, A., Bale, C. W., & Le Digabel, S. (2016). Use of a biobjective direct search algorithm in the process design of material science applications. Optimization and Engineering, 17(1), 27-45.
- 2015
Article de revue Pourbagian, M., Talgorn, B., Habashi, W. G., Kokkolaras, M., & Le Digabel, S. (2015). Constrained problem formulations for power optimization of aircraft electro-thermal anti-icing systems. Optimization and Engineering, 16(4), 663-693.Article de revue Belisle, E., Huang, Z., Le Digabel, S., & Gheribi, A. E. (2015). Evaluation of machine learning interpolation techniques for prediction of physical properties. Computational Materials Science, 98(1), 170-177.Article de revue Audet, C., Le Digabel, S., & Peyrega, M. (2015). Linear equalities in blackbox optimization. Computational Optimization and Applications, 61(1), 23 pages.Article de revue Talgorn, B., Le Digabel, S., & Kokkolaras, M. (2015). Statistical Surrogate Formulations for Simulation-Based Design Optimization. Journal of Mechanical Design, 137(2), 021405.Article de revue Gramacy, R. B., & Le Digabel, S. (2015). The mesh adaptive direct search algorithm with treed gaussian process surrogates. Pacific Journal of Optimization, 11(3), 419-447.
- 2014
Article de revue Minville, M., Cartier, D., Guay, C., Leclaire, L.-A., Audet, C., Le Digabel, S., & Merleau, J. (2014). Improving process representation in conceptual hydrological model calibration using climate simulations. Water Resources Research, 50(6), 5044-5073.Article de revue Gertz, E. M., Hiekkalinna, T., Le Digabel, S., Audet, C., Terwilliger, J. D., & Schaffer, A. A. (2014). PSEUDOMARKER 2.0: Efficient computation of likelihoods using NOMAD. BMC Bioinformatics, 15(47), 1-8.Article de revue Gertz, E., Hiekkalinna, T., Le Digabel, S., Audet, C., Terwilliger, J. D., & Schäffer, A. A. (2014). PSEUDOMARKER 2.0: efficient computation of likelihoods using NOMAD. BMC Bioinformatics, 15.Article de revue Audet, C., Ianni, A., Le Digabel, S., & Tribes, C. (2014). Reducing the number of function evaluations in mesh adaptive direct search algorithms. SIAM Journal on Optimization, 24(2), 621-642.
- 2013
Article de revue Gheribi, A. E., Le Digabel, S., Audet, C., & Chartrand, P. (2013). Identifying optimal conditions for magnesium based alloy design using the Mesh Adaptive Direct Search algorithm. Thermochimica Acta, 559, 107-110.Article de revue Alarie, S., Audet, C., Garnier, V., Le Digabel, S., & Leclaire, L. A. (2013). Snow Water Equivalent Estimation Using Blackbox Optimization. Pacific Journal of Optimization, 9(1), 1-21.Article de revue Conn, A. R., & Le Digabel, S. (2013). Use of quadratic models with mesh-adaptive direct search for constrained black box optimization. Optimization Methods and Software, 28(1), 139-158.
- 2012
Article de revue Gheribi, A. E., Audet, C., Le Digabel, S., Belisle, E., Bale, C. W., & Pelton, A. (2012). Calculating Optimal Conditions for Alloy and Process Design Using Thermodynamic and Property Databases, the Fact Sage Software and the Mesh Adaptive Direct Search Algorithm. Calphad-Computer Coupling of Phase Diagrams and Thermochemistry, 36, 135-143.Article de revue Audet, C., & Le Digabel, S. (2012). The Mesh Adaptive Direct Search Algorithm for Periodic Variables. Pacific Journal of Optimization, 8(1), 103-119.Article de revue Audet, C., Dennis, J. E. J., & Le Digabel, S. (2012). Trade-Off Studies in Blackbox Optimization. Optimization Methods & Software, 27(4-5), 613-624.
- 2011
Article de revue Le Digabel, S. (2011). Algorithm 909: NOMAD: Nonlinear optimization with the MADS algorithm. ACM Transactions on Mathematical Software, 37(4).Article de revue Gheribi, A. E., Robelin, C., Le Digabel, S., Audet, C., & Pelton, A. (2011). Calculating all local minima on liquidus surfaces using the FactSage software and databases and the Mesh Adaptive Direct Search algorithm. Journal of Chemical Thermodynamics, 43(9), 1323-1330.
- 2010
Article de revue Perron, S., Hansen, P., Le Digabel, S., & Mladenovic, N. (2010). Exact and heuristic solutions of the global supply chain problem with transfer pricing. European Journal of Operational Research, 202(3), 864-879.Article de revue Audet, C., Dennis Jr., J. E., & Le Digabel, S. (2010). Globalization strategies for mesh adaptive direct search. Computational Optimization and Applications, 46(2), 193-215.
- 2009
Article de revue Abramson, M. A., Audet, C., Dennis Jr., J. E., & Le Digabel, S. (2009). Orthomads: A deterministic MADS instance with orthogonal direct ions. SIAM Journal on Optimization, 20(2), 948-966.
- 2008
Article de revue Audet, C., Bechard, V., & Le Digabel, S. (2008). Nonsmooth Optimization Through Mesh Adaptive Direct Search and Variable Neighborhood Search. Journal of Global Optimization, 41(2), 299-318.Article de revue Audet, C., Dennis, J. E., & Le Digabel, S. (2008). Parallel space decomposition of the mesh adaptive direct search algorithm. SIAM Journal on Optimization, 19(3), 1150-1170.
- 2004
Article de revue Audet, C., Brimberg, J., Hansen, P., Le Digabel, S., & Mladenovic, N. (2004). Pooling Problem: Alternate Formulations and Solution Methods. Management Science, 50(6), 761-776.
- 2023
- Communications de conférence (12)
- 2022
Communication de conférence Audet, C., Le Digabel, S., Salomon, L., & Tribes, C. (juin 2022). Constrained blackbox optimization with the NOMAD solver on the COCO constrained test suite [Communication écrite]. Genetic and Evolutionary Computation Conference Companion (GECCO 2022), Boston, Massachusetts, USA.
- 2021
Communication de conférence Bingane, C., Anjos, M. F., & Le Digabel, S. (juillet 2021). CONICOPF: conic relaxations for AC optimal power flow computations [Communication écrite]. IEEE Power and Energy Society General Meeting (PESGM 2021), Washington, D.C., USA (5 pages).Communication de conférence Bingane, C., Anjos, M. F., & Le Digabel, S. (juillet 2021). Tight-and-cheap conic relaxation for the optimal reactive power dispatch problem [Communication écrite]. 2021 IEEE Power and Energy Society General Meeting (PESGM 2021), Washington, D.C., USA (1 page).
- 2019
Communication de conférence de Souza Dutra, M. D., Anjos, M. F., & Le Digabel, S. (septembre 2019). A Framework for Peak Shaving Through the Coordination of Smart Homes [Communication écrite]. IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT 2019 - Latin America), Gramado, Brazil (6 pages).
- 2017
Communication de conférence Bélisle, F., Saunier, N., Bilodeau, G.-A., & Le Digabel, S. (janvier 2017). Optimized Video Tracking for Automated Vehicle Turning Movement Counts [Communication écrite]. 96th Annual Meeting of the Transportation Research Board, Washington, D.C..
- 2016
Communication de conférence Picheny, V., Gramacy, R. B., Wild, S., & Le Digabel, S. (décembre 2016). Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian [Communication écrite]. 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain.Communication de conférence Gauthier, L., Saunier, N., Le Digabel, S., & Cao, G. (janvier 2016). Calibration of driving behavior models using derivative-free optimization and video data for montreal highways [Communication écrite]. 95th Annual Meeting of the Transportation Research Board, Washington, DC.Communication de conférence Al-Maskari, S., Bélisle, E., Li, X., Le Digabel, S., Nawahda, A., & Zhong, J. (avril 2016). Classification with quantification for air quality monitoring [Communication écrite]. 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD 2016), Auckland, New Zealand.Communication de conférence Amaioua, N., Le Digabel, S., Audet, C., & Conn, A. R. (juin 2016). Efficient solution of quadratically constrained quadratic subproblems within a direct-search algorithm [Affiche]. Workshop on Nonlinear Optimization Algorithms and Industrial Applications, Toronto, Ontario.
- 2014
Communication de conférence Talgorn, B., Le Digabel, S., & Kokkolaras, M. (août 2014). Problem Formulations for Simulation-Based Design Optimization Using Statistical Surrogates and Direct Search [Communication écrite]. ASME 2014 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2014), Buffalo, New York.
- 2013
Communication de conférence Duclos, E., Le Digabel, S., Guéhéneuc, Y.-G., & Adams, B. (mars 2013). ACRE: An automated aspect creator for testing C++ applications [Communication écrite]. 17th European Conference on Software Maintenance and Reengineering (CSMR 2013), Genova, Italy.
- 2012
Communication de conférence Bhattacharya, N., El-Mahi, O., Duclos, E., Beltrame, G., Antoniol, G., Le Digabel, S., & Guéhéneuc, Y.-G. (septembre 2012). Optimizing threads schedule alignments to expose the interference bug pattern [Communication écrite]. 4th International Symposium on Search Based Software Engineering (SSBSE 2012), Riva del Garda, Italy.
- 2022
- Chapitres de livre (2)
- 2013
Chapitre de livre Audet, C., Le Digabel, S., Diest, K., Sweatlock, L. A., & Marthaler, D. E. (2013). Metamaterial design by mesh adaptive direct search. Dans Numerical methods for metamaterial design (71-96).
- 2004
Chapitre de livre Audet, C., Hansen, P., & Le Digabel, S. (2004). Exact solution of three nonconvex quadratic programming problems. Dans Frontiers in global optimization (25-43).
- 2013
- Rapports (3)
- 2021
Rapport Lakhmiri, D., & Le Digabel, S. (2021). Use of static surrogates in hyperparameter optimization. (Rapport technique n° G-2021-10).
- 2020
Rapport Dzahini, K. J., Kokkolaras, M., & Le Digabel, S. (2020). Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates. (Rapport technique n° G-2020-60).
- 2016
Rapport De Sousa, V. J. R., Anjos, M. F., & Le Digabel, S. (2016). Computational study of valid inequalities for the maximum k-cut problem. (Rapport technique n° G-2016-17).
- 2021
- Thèses (2)
- 2008
Thèse Le Digabel, S. (2008). Extensions à l'algorithme de recherche directe mads pour l'optimisation non lisse [Thèse de doctorat, École Polytechnique de Montréal].
- 2002
Thèse Le Digabel, S. (2002). Topologie et routage dans les réseaux de communications [Mémoire de maîtrise, École Polytechnique de Montréal].
- 2008