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Items where Author is "Le Digabel, Sébastien"

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Number of items: 81.

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. External link

Bigeon, J., Le Digabel, S., & Salomon, L. (2024). Handling of constraints in multiobjective blackbox optimization. Computational Optimization and Applications, 45 pages. External link

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). External link

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). External link

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. External link

Le Digabel, S., & Wild, S. M. (2023). A taxonomy of constraints in black-box simulation-based optimization. Optimization and Engineering, 2023, 19 pages. External link

Lakhmiri, D., & Le Digabel, S. (2022). Use of Static Surrogates in Hyperparameter Optimization. Operations Research Forum, 3(1). External link

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. External link

Lakhmiri, D., Alimo, R., & Le Digabel, S. (2022). Anomaly detection for data accountability of Mars telemetry data. Expert Systems With Applications, 189, 116060. External link

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. External link

Dzahini, K. J., Kokkolaras, M., & Le Digabel, S. (2022). Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates. Mathematical Programming, 198(1), 675-732. External link

Alarie, S., Audet, C., Jacquot, P., & Le Digabel, S. (2022). Hierarchically constrained blackbox optimization. Operations Research Letters, 50(4), 446-451. External link

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. External link

Audet, C., Le Digabel, S., & Saltet, R. (2021). Quantifying uncertainty with ensembles of surrogates for blackbox optimization. (Technical Report n° 2021-37). External link

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). External link

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). External link

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. External link

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. External link

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. External link

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. External link

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. External link

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). External link

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). External link

Lakhmiri, D., & Le Digabel, S. (2021). Use of static surrogates in hyperparameter optimization. (Technical Report n° G-2021-10). External link

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). External link

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). External link

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). External link

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. External link

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. External link

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. External link

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. External link

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). External link

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. External link

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. External link

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. External link

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. External link

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. External link

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. External link

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. External link

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. External link

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. External link

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.. External link

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. External link

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. External link

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. External link

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. External link

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). External link

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. External link

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. Unavailable

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. External link

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. External link

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. External link

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. External link

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. External link

Audet, C., Le Digabel, S., & Peyrega, M. (2015). Linear equalities in blackbox optimization. Computational Optimization and Applications, 61(1), 1-23. External link

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. External link

Talgorn, B., Le Digabel, S., & Kokkolaras, M. (2015). Statistical Surrogate Formulations for Simulation-Based Design Optimization. Journal of Mechanical Design, 137(2), 021405. External link

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. External link

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. External link

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). Available

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. External link

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. External link

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. External link

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). External link

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. External link

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. External link

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. External link

Audet, C., & Le Digabel, S. (2012). The Mesh Adaptive Direct Search Algorithm for Periodic Variables. Pacific Journal of Optimization, 8(1), 103-119. External link

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. External link

Audet, C., Dennis, J. E. J., & Le Digabel, S. (2012). Trade-Off Studies in Blackbox Optimization. Optimization Methods & Software, 27(4-5), 613-624. External link

Le Digabel, S. (2011). Algorithm 909: NOMAD: Nonlinear optimization with the MADS algorithm. ACM Transactions on Mathematical Software, 37(4), 1-15. External link

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. External link

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. External link

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. External link

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. External link

Le Digabel, S. (2008). Extensions à l'algorithme de recherche directe mads pour l'optimisation non lisse [Ph.D. thesis, École Polytechnique de Montréal]. Available

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. External link

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. External link

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). External link

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. External link

Le Digabel, S. (2002). Topologie et routage dans les réseaux de communications [Master's thesis, École Polytechnique de Montréal]. External link

List generated on: Thu Feb 13 06:20:08 2025 EST