Répertoire des expertises

Le Digabel, Sébastien

Répertoire des expertises

Le Digabel, Sébastien

Répertoire des expertises

Publications par type

Article de revue (58) Communication de conférence (14) Livre Chapitre de livre (2) Brevet Rapport (60) Thèse (2) Ensemble de données Ressource pédagogique Image Enregistrement audio Enregistrement vidéo Autre

Sébastien Le Digabel (136)

Articles de revue (58)
- 2025
  - Alarie, S., Audet, C., Diago, M., Le Digabel, S., & Lebeuf, X. (2025). Inter-DS: a cost saving algorithm for expensive constrained multi-fidelity blackbox optimization. Computational Optimization and Applications, 23 pages.
  - Andrés-Thió, N., Audet, C., Diago, M., Gheribi, A. E., Le Digabel, S., Lebeuf, X., Lemyre Garneau, M., & Tribes, C. (2025). Solar: a solar thermal power plant simulator for blackbox optimization benchmarking. Optimization and Engineering, 47 pages.
- 2024
  - Bigeon, J., Le Digabel, S., & Salomon, L. (2024). Handling of constraints in multiobjective blackbox optimization. Computational Optimization and Applications, 45 pages.
- 2023
  - 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.
  - Le Digabel, S., & Wild, S. M. (2023). A taxonomy of constraints in black-box simulation-based optimization. Optimization and Engineering, 2023, 19 pages.
- 2022
  - 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), 1-22.
  - Lakhmiri, D., Alimo, R., & Le Digabel, S. (2022). Anomaly detection for data accountability of Mars telemetry data. Expert Systems With Applications, 189, 116060.
  - Dzahini, K. J., Kokkolaras, M., & Le Digabel, S. (2022). Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates. Mathematical Programming, 198, 675-732.
  - Alarie, S., Audet, C., Jacquot, P., & Le Digabel, S. (2022). Hierarchically constrained blackbox optimization. Operations Research Letters, 50(4), 446-451.
  - 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.
  - Lakhmiri, D., & Le Digabel, S. (2022). Use of Static Surrogates in Hyperparameter Optimization. Operations Research Forum, 3(1).
- 2021
  - Rodrigues de Sousa, V., Anjos, M. F., & Le Digabel, S. (2021). Computational study of a branching algorithm for the maximum k-cut problem. Discrete Optimization, 100656 (20 pages).
  - 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), 301-338.
  - 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), 1-27.
  - 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.
  - 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.
  - 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(1), 1-34.
  - 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).
- 2019
  - 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.
  - 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.
  - Rodrigues de Sousa, V., 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.
  - 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.
  - 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
  - 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.
  - 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.
  - 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.
  - 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.
  - Gheribi, A. E., Pelton, A., Bélisle, 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.
  - 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.
  - 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.
  - 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
  - Bélisle, F., Saunier, N., Bilodeau, G.-A., & Le Digabel, S. (2017). Optimized video tracking for automated vehicle turning movement counts. Transportation Research Record, 2645(2645), 104-112.
- 2016
  - 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.
  - 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), 1-11.
  - 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.
  - Gheribi, A. E., Harvey, J.-P., Bélisle, È., 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
  - 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.
  - Bélisle, È., 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.
  - Audet, C., Le Digabel, S., & Peyrega, M. (2015). Linear equalities in blackbox optimization. Computational Optimization and Applications, 61(1), 1-23.
  - Talgorn, B., Le Digabel, S., & Kokkolaras, M. (2015). Statistical Surrogate Formulations for Simulation-Based Design Optimization. Journal of Mechanical Design, 137(2), 021405.
  - 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
  - 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.
  - 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(1).
  - 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
  - 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.
  - 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.
  - 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
  - Gheribi, A. E., Audet, C., Le Digabel, S., Belisle, È., 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.
  - Audet, C., & Le Digabel, S. (2012). The Mesh Adaptive Direct Search Algorithm for Periodic Variables. Pacific Journal of Optimization, 8(1), 103-119.
  - Audet, C., Dennis, J. E., & Le Digabel, S. (2012). Trade-Off Studies in Blackbox Optimization. Optimization Methods & Software, 27(4-5), 613-624.
- 2011
  - Le Digabel, S. (2011). Algorithm 909: NOMAD: Nonlinear optimization with the MADS algorithm. ACM Transactions on Mathematical Software, 37(4), 1-15.
  - 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
  - Perron, S., Hansen, P., Le Digabel, S., & Mladenović, N. (2010). Exact and heuristic solutions of the global supply chain problem with transfer pricing. European Journal of Operational Research, 202(3), 864-879.
  - 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
  - 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
  - Audet, C., Béchard, V., & Le Digabel, S. (2008). Nonsmooth Optimization Through Mesh Adaptive Direct Search and Variable Neighborhood Search. Journal of Global Optimization, 41(2), 299-318.
  - Audet, C., Dennis Jr., 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
  - 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.
Communications de conférence (14)
- 2025
  - Allaire, N., Ghazvini Nejad, M., Le Digabel, S., & Partovi Nia, V. (février 2025). Zeroth Order Optimization for Pretraining Language Models [Communication écrite]. 14th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2025), Porto, Portugal. Publié dans Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - ICPRAM, 1.
- 2022
  - 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
  - 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).
  - 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
  - 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).
  - Bingane, C., Anjos, M. F., & Le Digabel, S. (août 2019). Tight-and-cheap conic relaxation for the AC optimal power flow problem [Résumé]. IEEE Power & Energy Society General Meeting (PESGM 2019), Atlanta, GA, USA. Publié dans 2019 IEEE Power & Energy Society General Meeting (PESGM).
- 2017
  - 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
  - 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.
  - 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.
  - 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.
  - 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
  - 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
  - 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
  - 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.
Chapitres de livre (2)
- 2013
  - 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 (Vol. 127, p. 71-96).
- 2004
  - Audet, C., Hansen, P., & Le Digabel, S. (2004). Exact solution of three nonconvex quadratic programming problems. Dans Frontiers in global optimization (Vol. 74, p. 25-43).
Rapports (60)
- 2025
  - Le Digabel, S., Lesage-Landry, A., Salomon, L., & Tribes, C. (2025). Efficient search strategies for constrained multiobjective blackbox optimization. (Rapport technique n° G-2025-28).
- 2024
  - Hallé-Hannan, E., Audet, C., Diouane, Y., Le Digabel, S., & Saves, P. (2024). A graph-structured distance for heterogeneous datasets with meta variables. (Rapport technique n° G-2024-33).
  - Thio, N. A., Audet, C., Diago Martinez, M., Gheribi, A. E., Le Digabel, S., Lebeuf, X., Lemyre-Garneau, M., & Tribes, C. (2024). solar: A solar thermal power plant simulator for blackbox optimization benchmarking. (Rapport technique n° G-2024-37).
- 2023
  - Alarie, S., Audet, C., Diago Martinez, M., Le Digabel, S., & Lebeuf, X. (2023). Hierarchically constrained multi-fidelity blackbox optimization. (Rapport technique n° G-2023-66).
- 2022
  - Audet, C., Hallé-Hannan, E., & Le Digabel, S. (2022). A general mathematical framework for constrained mixed-variable blackbox optimization problems with meta and categorical variables. (Rapport technique n° G-2022-11).
  - Bigeon, J., Le Digabel, S., & Salomon, L. (2022). Handling of constraints in multiobjective blackbox optimization. (Rapport technique n° G-2022-10).
- 2021
  - Alarie, S., Audet, C., Jacquot, P., & Le Digabel, S. (2021). Hierarchically constrained blackbox optimization. (Rapport technique n° G-2021-65).
  - Audet, C., Le Digabel, S., Rochon Montplaisir, V., & Tribes, C. (2021). NOMAD version 4: Nonlinear optimization with the MADS algorithm. (Rapport technique n° G-2021-23).
  - Audet, C., Le Digabel, S., & Saltet, R. (2021). Quantifying uncertainty with ensembles of surrogates for blackbox optimization. (Rapport technique n° 2021-37).
  - Lakhmiri, D., & Le Digabel, S. (2021). Use of static surrogates in hyperparameter optimization. (Rapport technique n° G-2021-10).
- 2020
  - Rodrigues de Sousa, V., Anjos, M. F., & Le Digabel, S. (2020). Computational study of a branching algorithm for the maximum k-cut problem. (Rapport technique n° G-2020-11).
  - 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).
  - Bigeon, J., Le Digabel, S., & Salomon, L. (2020). DMulti-MADS: Mesh adaptive direct multisearch for blackbox multiobjective optimization. (Rapport technique n° G-2020-25).
  - Lakhmiri, D., Alimo, R., & Le Digabel, S. (2020). Tuning a variational autoencoder for data accountability problem in the Mars Science Laboratory ground data system. (Rapport technique n° 2020-31).
  - Alarie, S., Audet, C., Gheribi, A. E., Kokkolaras, M., & Le Digabel, S. (2020). Two decades of blackbox optimization applications. (Rapport technique n° G-2020-58).
- 2019
  - De Souza Dutra, M. D., Anjos, M. F., & Le Digabel, S. (2019). A framework for peak shaving through the coordination of smart homes. (Rapport technique n° G-2019-16).
  - De Souza Dutra, M. D., Anjos, M. F., & Le Digabel, S. (2019). A general framework for customized transition to smart homes. (Rapport technique n° G-2019-09).
  - Bingane, C., Anjos, M. F., & Le Digabel, S. (2019). CONICOPF: A tight-and-cheap conic relaxation with accuracy metrics for single-period and multi-period ACOPF problems. (Rapport technique n° G-2019-19).
  - Lakhmiri, D., Le Digabel, S., & Tribes, C. (2019). HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search. (Rapport technique n° G-2019-46).
  - Alarie, S., Audet, C., Bouchet, P.-Y., & Le Digabel, S. (2019). Optimization of noisy blackboxes with adaptive precision. (Rapport technique n° G-2019-84).
  - Audet, C., Dzahini, K. J., Kokkolaras, M., & Le Digabel, S. (2019). StoMADS: Stochastic blackbox optimization using probabilistic estimates. (Rapport technique n° G-2019-30).
- 2018
  - De Souza Dutra, M. D., Anjos, M. F., & Le Digabel, S. (2018). Balancing realism and complexity: An accurate optimization model for electricity usage in smart homes. (Rapport technique n° G-2018-06).
  - Rodrigues de Sousa, V., Anjos, M. F., & Le Digabel, S. (2018). Improving the linear relaxation of maximum k-cut with semidefinite-based constraints. (Rapport technique n° G-2018-26).
  - Audet, C., Kokkolaras, M., Le Digabel, S., & Talgorn, B. (2018). Order-based error for managing ensembles of surrogates in derivative-free optimization. (Rapport technique n° G-2016-36).
  - Audet, C., Bigeon, J., Cartier, D., Le Digabel, S., & Salomon, L. (2018). Performance indicators in multiobjective optimization. (Rapport technique n° G-2018-90).
  - Alarie, S., Amaioua, N., Audet, C., Le Digabel, S., & Leclaire, L.-A. (2018). Selection of variables in parallel space decomposition for the mesh adaptive. (Rapport technique n° G-2018-38).
  - Audet, C., Le Digabel, S., & Tribes, C. (2018). The mesh adaptive direct search algorithm for granular and discrete variables. (Rapport technique n° G-2018-16).
  - Bingane, C., Anjos, M. F., & Le Digabel, S. (2018). Tight-and-cheap conic relaxation for the AC optimal power flow problem. (Rapport technique n° G-2018-02).
  - Bingane, C., Anjos, M. F., & Le Digabel, S. (2018). Tight-and-cheap conic relaxation for the optimal reactive power dispatch problem. (Rapport technique n° G-2018-76).
- 2016
  - Audet, C., Le Digabel, S., & Peyrega, M. (2016). A derivative-free trust-region augmented Lagrangian algorithm. (Rapport technique n° G-2016-53).
  - Audet, C., Conn, A. R., Le Digabel, S., & Peyrega, M. (2016). A progressive barrier derivative-free trust-region algorithm for constrained optimization. (Rapport technique n° G-2016-49).
  - Picheny, V., Gramacy, R. B., Wild, S. M., & Le Digabel, S. (2016). Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian. (Rapport technique n° G-2016-43).
  - 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).
  - Amaioua, N., Audet, C., Conn, A. R., & Le Digabel, S. (2016). Efficient solution of quadratically constrained quadratic subproblems within a direct-search algorithm. (Rapport technique n° G-2016-45).
  - Talgorn, B., Audet, C., Le Digabel, S., & Kokkolaras, M. (2016). Locally weighted regression models for surrogate-assisted design optimization. (Rapport technique n° G-2016-113).
  - Audet, C., Ihaddadene, A., Le Digabel, S., & Tribes, C. (2016). Robust optimization of noisy blackbox problems using the Mesh Adaptive Direct Search algorithm. (Rapport technique n° G-2016-55).
- 2015
  - Le Digabel, S., & Wild, S. M. (2015). A taxonomy of constraints in simulation-based optimization. (Rapport technique n° G-2015-57).
  - Le Digabel, S., Tribes, C., & Audet, C. (2015). NOMAD User Guide. Version 3.7.2. (Rapport technique n° G-2009-37).
  - Gheribi, A. E., Harvey, J.-P., Bélisle, È., Robelin, C., Chartrand, P., Pelton, A., Bale, C. W., & Le Digabel, S. (2015). Use of a biobjective direct search algorithm in the process design of material science applications. (Rapport technique n° G-2014-103).
- 2014
  - Audet, C., Le Digabel, S., & Tribes, C. (2014). Dynamic scaling in the Mesh Adaptive Direct Search algorithm for blackbox optimization. (Rapport technique n° G-2014-16).
  - Audet, C., Le Digabel, S., & Peyrega, M. (2014). Linear Equalities in Blackbox Optimization. (Rapport technique n° G-2014-36).
  - Gramacy, R. B., Gray, G. A., Le Digabel, S., Lee, H. K. H., Ranjan, P., Weels, G., & Wild, S. M. (2014). Modeling an augmented Lagrangian for improved blackbox constrained optimization. (Rapport technique n° G-2014-17).
  - Pourbagian, M., Talgorn, B., Habashi, W. G., Kokkolaras, M., & Le Digabel, S. (2014). On power optimization of aircraft electro-thermal anti-icing systems. (Rapport technique n° G-2014-72).
  - Talgorn, B., Le Digabel, S., & Kokkolaras, M. (2014). Problem formulations for simulation-based design optimization using statistical surrogates and direct search. (Rapport technique n° G-2014-04).
- 2012
  - Duclos, E., Guéhéneuc, Y.-G., & Le Digabel, S. (2012). ACRE: An Automated Aspect Creator for Testing C++ Applications. (Rapport technique n° G-2012-19).
  - Audet, C., Ianni, A., Le Digabel, S., & Tribes, C. (2012). Reducing the Number of Function Evaluations in Mesh Adaptive Direct Search Algorithms. (Rapport technique n° G-2012-43).
  - Gramacy, R. B., & Le Digabel, S. (2012). The Mesh Adaptive Direct Search Algorithm with Treed Gaussian Process Surrogates. (Rapport technique n° G-2011-37).
- 2011
  - Alarie, S., Audet, C., Garnier, V., Le Digabel, S., & Leclaire, L.-A. (2011). Snow Water Equivalent Estimation Using Blackbox Optimization. (Rapport technique n° G-2011-09).
  - Conn, A. R., & Le Digabel, S. (2011). Use of quadratic models with mesh adaptive direct search for constrained black box optimization. (Rapport technique n° G-2011-11).
- 2010
  - Gheribi, A. E., Audet, C., Le Digabel, S., Belisle, È., & Pelton, A. (2010). Calculating Optimal Conditions for Alloy and Process Design Using Thermodynamic and Properties Databases, the FactSage Software and the Mesh Adaptive Direct Search (MADS) Algorithm. (Rapport technique n° G-2010-77).
  - Gheribi, A. E., Robelin, C., Le Digabel, S., Audet, C., & Pelton, A. (2010). Identifying Local Minima in the Liquidus Surface Using the FactSage Software and the Mesh Adaptive Direct Search (MADS) Algorithm. (Rapport technique n° G-2010-76).
  - Le Digabel, S. (2010). NOMAD: Nonlinear Optimization with the MADS Algorithm. (Rapport technique n° G-2009-39).
  - Audet, C., Dennis, J. E., & Le Digabel, S. (2010). Sensitivity to Constraints in Blackbox Optimization. (Rapport technique n° G-2010-49).
- 2009
  - Audet, C., & Le Digabel, S. (2009). The Mesh Adaptive Direct Search Algorithm for Periodic Variables. (Rapport technique n° G-2009-23).
- 2008
  - Audet, C., Dennis Jr., J. E., & Le Digabel, S. (2008). Globalization Strategies for Mesh Adaptive Direct Search. (Rapport technique n° G-2008-74).
  - Abramson, M. A., Audet, C., Dennis Jr., J. E., & Le Digabel, S. (2008). OrthoMADS: A Deterministic MADS Instance with Orthogonal Directions. (Rapport technique n° G-2008-15).
  - Perron, S., Hansen, P., Le Digabel, S., & Mladenović, N. (2008). Transfer Pricing in a Global Supply Chain. (Rapport technique n° G-2008-17).
- 2007
  - Audet, C., Béchard, V., & Le Digabel, S. (2007). Nonsmooth Optimization through Mesh Adaptive Direct Search and Variable Neighborhood Search. (Rapport technique n° G-2006-61).
  - Audet, C., Dennis Jr., J. E., & Le Digabel, S. (2007). Parallel Space Decomposition of the Mesh Adaptive Direct Search Algorithm. (Rapport technique n° G-2007-81).
Thèses (2)
- 2008
  - 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
  - Le Digabel, S. (2002). Topologie et routage dans les réseaux de communications [Mémoire de maîtrise, École Polytechnique de Montréal].

Répertoire des expertises

Le Digabel, Sébastien

Répertoire des expertises

Le Digabel, Sébastien

Vous êtes ici

Publications par type

Sébastien Le Digabel (136)