Directory of Experts

Le Digabel, Sébastien

Directory of Experts

Le Digabel, Sébastien

Directory of Experts

Publications by type

Journal article (58) Conference paper (14) Book Book chapter (2) Patent Report (60) Thesis (2) Dataset Teaching resource Image Audio recording Video recording Other

Sébastien Le Digabel (136)

Journal articles (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.
Conference papers (14)
- 2025
  - Allaire, N., Ghazvini Nejad, M., Le Digabel, S., & Partovi Nia, V. (2025, February). Zeroth Order Optimization for Pretraining Language Models [Paper]. 14th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2025), Porto, Portugal. Published in Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - ICPRAM, 1.
- 2022
  - Audet, C., Le Digabel, S., Salomon, L., & Tribes, C. (2022, June). Constrained blackbox optimization with the NOMAD solver on the COCO constrained test suite [Paper]. Genetic and Evolutionary Computation Conference Companion (GECCO 2022), Boston, Massachusetts, USA.
- 2021
  - Bingane, C., Anjos, M. F., & Le Digabel, S. (2021, July). CONICOPF: conic relaxations for AC optimal power flow computations [Paper]. IEEE Power and Energy Society General Meeting (PESGM 2021), Washington, D.C., USA (5 pages).
  - Bingane, C., Anjos, M. F., & Le Digabel, S. (2021, July). Tight-and-cheap conic relaxation for the optimal reactive power dispatch problem [Paper]. 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. (2019, September). A Framework for Peak Shaving Through the Coordination of Smart Homes [Paper]. 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. (2019, August). Tight-and-cheap conic relaxation for the AC optimal power flow problem [Abstract]. IEEE Power & Energy Society General Meeting (PESGM 2019), Atlanta, GA, USA. Published in 2019 IEEE Power & Energy Society General Meeting (PESGM).
- 2017
  - Bélisle, F., Saunier, N., Bilodeau, G.-A., & Le Digabel, S. (2017, January). Optimized Video Tracking for Automated Vehicle Turning Movement Counts [Paper]. 96th Annual Meeting of the Transportation Research Board, Washington, D.C..
- 2016
  - Picheny, V., Gramacy, R. B., Wild, S., & Le Digabel, S. (2016, December). Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian [Paper]. 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain.
  - Gauthier, L., Saunier, N., Le Digabel, S., & Cao, G. (2016, January). Calibration of driving behavior models using derivative-free optimization and video data for montreal highways [Paper]. 95th Annual Meeting of the Transportation Research Board, Washington, DC.
  - Al-Maskari, S., Bélisle, E., Li, X., Le Digabel, S., Nawahda, A., & Zhong, J. (2016, April). Classification with quantification for air quality monitoring [Paper]. 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. (2016, June). Efficient solution of quadratically constrained quadratic subproblems within a direct-search algorithm [Poster]. Workshop on Nonlinear Optimization Algorithms and Industrial Applications, Toronto, Ontario.
- 2014
  - Talgorn, B., Le Digabel, S., & Kokkolaras, M. (2014, August). Problem Formulations for Simulation-Based Design Optimization Using Statistical Surrogates and Direct Search [Paper]. 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. (2013, March). ACRE: An automated aspect creator for testing C++ applications [Paper]. 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. (2012, September). Optimizing threads schedule alignments to expose the interference bug pattern [Paper]. 4th International Symposium on Search Based Software Engineering (SSBSE 2012), Riva del Garda, Italy.
Book chapters (2)
- 2013
  - Audet, C., Le Digabel, S., Diest, K., Sweatlock, L. A., & Marthaler, D. E. (2013). Metamaterial design by mesh adaptive direct search. In Numerical methods for metamaterial design (Vol. 127, pp. 71-96).
- 2004
  - Audet, C., Hansen, P., & Le Digabel, S. (2004). Exact solution of three nonconvex quadratic programming problems. In Frontiers in global optimization (Vol. 74, pp. 25-43).
Reports (60)
- 2025
  - Le Digabel, S., Lesage-Landry, A., Salomon, L., & Tribes, C. (2025). Efficient search strategies for constrained multiobjective blackbox optimization. (Technical Report 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. (Technical Report 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. (Technical Report n° G-2024-37).
- 2023
  - Alarie, S., Audet, C., Diago Martinez, M., Le Digabel, S., & Lebeuf, X. (2023). Hierarchically constrained multi-fidelity blackbox optimization. (Technical Report 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. (Technical Report n° G-2022-11).
  - Bigeon, J., Le Digabel, S., & Salomon, L. (2022). Handling of constraints in multiobjective blackbox optimization. (Technical Report n° G-2022-10).
- 2021
  - Alarie, S., Audet, C., Jacquot, P., & Le Digabel, S. (2021). Hierarchically constrained blackbox optimization. (Technical Report n° G-2021-65).
  - Audet, C., Le Digabel, S., Rochon Montplaisir, V., & Tribes, C. (2021). NOMAD version 4: Nonlinear optimization with the MADS algorithm. (Technical Report n° G-2021-23).
  - Audet, C., Le Digabel, S., & Saltet, R. (2021). Quantifying uncertainty with ensembles of surrogates for blackbox optimization. (Technical Report n° 2021-37).
  - Lakhmiri, D., & Le Digabel, S. (2021). Use of static surrogates in hyperparameter optimization. (Technical Report 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. (Technical Report n° G-2020-11).
  - Dzahini, K. J., Kokkolaras, M., & Le Digabel, S. (2020). Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates. (Technical Report n° G-2020-60).
  - Bigeon, J., Le Digabel, S., & Salomon, L. (2020). DMulti-MADS: Mesh adaptive direct multisearch for blackbox multiobjective optimization. (Technical Report 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. (Technical Report n° 2020-31).
  - Alarie, S., Audet, C., Gheribi, A. E., Kokkolaras, M., & Le Digabel, S. (2020). Two decades of blackbox optimization applications. (Technical Report 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. (Technical Report 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. (Technical Report 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. (Technical Report n° G-2019-19).
  - Lakhmiri, D., Le Digabel, S., & Tribes, C. (2019). HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search. (Technical Report n° G-2019-46).
  - Alarie, S., Audet, C., Bouchet, P.-Y., & Le Digabel, S. (2019). Optimization of noisy blackboxes with adaptive precision. (Technical Report n° G-2019-84).
  - Audet, C., Dzahini, K. J., Kokkolaras, M., & Le Digabel, S. (2019). StoMADS: Stochastic blackbox optimization using probabilistic estimates. (Technical Report 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. (Technical Report 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. (Technical Report 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. (Technical Report n° G-2016-36).
  - Audet, C., Bigeon, J., Cartier, D., Le Digabel, S., & Salomon, L. (2018). Performance indicators in multiobjective optimization. (Technical Report 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. (Technical Report n° G-2018-38).
  - Audet, C., Le Digabel, S., & Tribes, C. (2018). The mesh adaptive direct search algorithm for granular and discrete variables. (Technical Report 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. (Technical Report 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. (Technical Report n° G-2018-76).
- 2016
  - Audet, C., Le Digabel, S., & Peyrega, M. (2016). A derivative-free trust-region augmented Lagrangian algorithm. (Technical Report 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. (Technical Report 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. (Technical Report 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. (Technical Report 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. (Technical Report n° G-2016-45).
  - Talgorn, B., Audet, C., Le Digabel, S., & Kokkolaras, M. (2016). Locally weighted regression models for surrogate-assisted design optimization. (Technical Report 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. (Technical Report n° G-2016-55).
- 2015
  - Le Digabel, S., & Wild, S. M. (2015). A taxonomy of constraints in simulation-based optimization. (Technical Report n° G-2015-57).
  - Le Digabel, S., Tribes, C., & Audet, C. (2015). NOMAD User Guide. Version 3.7.2. (Technical Report 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. (Technical Report 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. (Technical Report n° G-2014-16).
  - Audet, C., Le Digabel, S., & Peyrega, M. (2014). Linear Equalities in Blackbox Optimization. (Technical Report 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. (Technical Report 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. (Technical Report 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. (Technical Report n° G-2014-04).
- 2012
  - Duclos, E., Guéhéneuc, Y.-G., & Le Digabel, S. (2012). ACRE: An Automated Aspect Creator for Testing C++ Applications. (Technical Report 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. (Technical Report n° G-2012-43).
  - Gramacy, R. B., & Le Digabel, S. (2012). The Mesh Adaptive Direct Search Algorithm with Treed Gaussian Process Surrogates. (Technical Report 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. (Technical Report 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. (Technical Report 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. (Technical Report 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. (Technical Report n° G-2010-76).
  - Le Digabel, S. (2010). NOMAD: Nonlinear Optimization with the MADS Algorithm. (Technical Report n° G-2009-39).
  - Audet, C., Dennis, J. E., & Le Digabel, S. (2010). Sensitivity to Constraints in Blackbox Optimization. (Technical Report n° G-2010-49).
- 2009
  - Audet, C., & Le Digabel, S. (2009). The Mesh Adaptive Direct Search Algorithm for Periodic Variables. (Technical Report n° G-2009-23).
- 2008
  - Audet, C., Dennis Jr., J. E., & Le Digabel, S. (2008). Globalization Strategies for Mesh Adaptive Direct Search. (Technical Report 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. (Technical Report n° G-2008-15).
  - Perron, S., Hansen, P., Le Digabel, S., & Mladenović, N. (2008). Transfer Pricing in a Global Supply Chain. (Technical Report n° G-2008-17).
- 2007
  - Audet, C., Béchard, V., & Le Digabel, S. (2007). Nonsmooth Optimization through Mesh Adaptive Direct Search and Variable Neighborhood Search. (Technical Report n° G-2006-61).
  - Audet, C., Dennis Jr., J. E., & Le Digabel, S. (2007). Parallel Space Decomposition of the Mesh Adaptive Direct Search Algorithm. (Technical Report n° G-2007-81).
Theses (2)
- 2008
  - Le Digabel, S. (2008). Extensions à l'algorithme de recherche directe mads pour l'optimisation non lisse [Ph.D. thesis, École Polytechnique de Montréal].
- 2002
  - Le Digabel, S. (2002). Topologie et routage dans les réseaux de communications [Master's thesis, École Polytechnique de Montréal].

Directory of Experts

Le Digabel, Sébastien

Directory of Experts

Le Digabel, Sébastien

You are here

Publications by type

Sébastien Le Digabel (136)