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Aalian, Y., Gamache, M., & Pesant, G. (2022). Short-term underground mine planning with uncertain activity durations using constraint programming. (Rapport technique n° G-2022-44). Lien externe
Al Handawi, K., & Kokkolaras, M. (2022). Optimization of Infectious Disease Prevention and Control Policies Using Artificial Life. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(1), 26-40. Lien externe
Alarie, S., Audet, C., Jacquot, P., & Le Digabel, S. (2022). Hierarchically constrained blackbox optimization. Operations Research Letters, 50(4), 446-451. Lien externe
Aouchiche, M., & El Hallaoui, I. (2022). Minimum values of the second largest Q-eigenvalue. Discrete Applied Mathematics, 306, 46-51. Lien externe
Aravkin, A. Y., Baraldi, R., & Orban, D. (2022). A proximal quasi-Newton trust-region method for nonsmooth regularized optimization. SIAM Journal on Optimization, 32(2), 900-929. Lien externe
Aravkin, A., Baraldi, R., & Orban, D. (2022). A Levenberg-Marquardt method for nonsmooth regularized least squares. (Rapport technique n° G-2022-58). Lien externe
Audet, C. (2022). Blackbox Optimization. Dans Pardalos, P. M., & Prokopyev, O. A. (édit.), Encyclopedia of Optimization (p. 1-6). Lien externe
Audet, C., Batailly, A., & Kojtych, S. (2022). Escaping Unknown Discontinuous Regions in Blackbox Optimization. SIAM Journal on Optimization, 32(3), 1843-1870. Lien externe
Audet, C., Bigeon, J., Couderc, R., & Kokkolaras, M. (2022). Risk-adverse optimization by Conditional Value-at-Risk and stochastic approximation. (Rapport technique n° G-2022-04). Lien externe
Audet, C., Bouchet, P.-Y., & Bourdin, L. (2022). Erratum: Counterexample and an additional revealing poll step for a result of "Analysis of direct searches for discontinuous functions". (Rapport technique n° G-2022-56). Lien externe
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). Lien externe
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. Lien externe
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. Lien externe
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. Lien externe
Audet, C., Messine, F., & Ninin, J. (2022). Correction to: Numerical certification of Pareto optimality for biobjective nonlinear problems (Jan, 10.1007/s10898-022-01127-1, 2022). Journal of Global Optimization, 83(4), 909-910. Lien externe
Audet, C., Messine, F., & Ninin, J. (2022). Numerical certification of Pareto optimality for biobjective nonlinear problems. Journal of Global Optimization, 83(4), 891-908. Lien externe
Aziz, M., Dagdougui, H., & El Hallaoui, I. (2022). A Decentralized Game Theoretic Approach for Virtual Storage System Aggregation in a Residential Community. IEEE Access, 10, 34846-34857. Lien externe
Bigeon, J., Le Digabel, S., & Salomon, L. (2022). Handling of constraints in multiobjective blackbox optimization. (Rapport technique n° G-2022-10). Lien externe
Bingane, C., & Audet, C. (2022). Tight bounds on the maximal perimeter of convex equilateral small polygons. Archiv der Mathematik, 119(3), 325-336. Lien externe
Campeau, L.-P., & Gamache, M. (2022). Short- and medium-term optimization of underground mine planning using constraint programming. Constraints, 27(4), 414-431. Lien externe
Cano, J. M., Pagès, G., Chaumette, É., & Le Ny, J. (2022). Optimal localizability criterion for positioning with distance-deteriorated relative measurements. (Rapport technique n° G-2022-32). Lien externe
Cano, J., Chauffaut, C., Chaumette, E., Pagès, G., & Le Ny, J. (octobre 2022). Maintaining Robot Localizability with Bayesian Cramer-Rao Lower Bounds [Communication écrite]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan. Lien externe
Cano, J., Pagès, G., Chaumette, É., & Le Ny, J. (2022). Clock and Power-Induced Bias Correction for UWB Time-of-Flight Measurements. IEEE Robotics and Automation Letters, 7(2), 2431-2438. Lien externe
Cano, J., Pagès, G., Chaumette, É., & Le Ny, J. (octobre 2022). Optimal Localizability Criterion for Positioning with Distance-Deteriorated Relative Measurements [Communication écrite]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan. Lien externe
Coelho, E. P. R., Alves, R. J. M., Paiva, M. H. M., Rocha, H. R. O., Caporossi, G., & Segatto, M. E. V. (2022). Topological multi-contingency screening based on current flow betweenness. Electric Power Systems Research, 203, 107609. Lien externe
Cossette, C. C., Shalaby, M., Saussié, D., Le Ny, J., & Forbes, J. R. (2022). Optimal multi-robot formations for relative pose estimation using range measurements. (Rapport technique n° G-2022-57). Lien externe
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2022). Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. Journal of Heuristics, 28(4), 539-582. Lien externe
Costa, L., Contardo, C., Desaulniers, G., & Yarkony, J. (2022). Stabilized Column Generation Via the Dynamic Separation of Aggregated Rows. INFORMS Journal on Computing, 34(2), 1141-1156. Lien externe
Daadaa, M., Séguin, S., Anjos, M. F., & Demeester, K. (2022). Quantifying the impact of scenario tree generation methods on the solution of the short-term hydroscheduling problem. (Rapport technique n° G-2022-47). Lien externe
Degue, K. H., & Le Ny, J. (2022). Cooperative Differentially Private LQG Control with Measurement Aggregation. IEEE Control Systems Letters, 7, 1093-1098. Lien externe
Degue, K. H., Le Ny, J., & Efimov, D. (2022). Stealthy attacks and attack-resilient interval observers. Automatica, 146, 10 pages. Lien externe
Dzahini, K. J. (2022). Expected complexity analysis of stochastic direct-search. Computational Optimization and Applications, 81(1), 179-200. Lien externe
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. Lien externe
Er Raqabi, E. M., Himmich, I., El Hachemi, N., El Hallaoui, I., & Soumis, F. (2022). Incremental LNS framework for integrated production, inventory, and vessel scheduling: Application to a global supply chain. (Rapport technique n° G-2022-54). Lien externe
Faria Pires Gama Rocha, M., Anjos, M. F., & Gendreau, M. (2022). Optimal planning of preventive maintenance tasks on power transmission systems. (Rapport technique n° G-2022-06). Lien externe
Foutlane, O., El Hallaoui, I., & Hansen, P. (2022). Distributed Integral Column Generation for Set Partitioning Problems. Operations Research Forum, 3(2), 22 pages. Lien externe
Garroussi, Z., Badirou, A. W., D'Amours, M., Girard, A., & Sanso, B. (octobre 2022). Multiobjective optimal sizing and energy planning in green cellular base stations [Communication écrite]. IEEE Future Networks World Forum (FNWF 2022), Montreal, Qc, Canada. Lien externe
Hajlaoui, Y., Jaoua, A., & Layeb, S. B. (2022). Deep reinforcement learning for solving the single container loading problem. Engineering Optimization, 55(4), 668-684. Lien externe
Hertz, A., Bonte, S., Devillez, G., & Mélot, H. (2022). The average size of maximal matchings in graphs. (Rapport technique n° G-2022-13). Lien externe
Himmich, I., Er Raqabi, E. M., El Hachemi, N., El Hallaoui, I., Metrane, A., & Soumis, F. (2022). MPILS: an automatic tuner for MILP solvers. (Rapport technique n° 2022-53). Lien externe
Huang, N., Dai, Y.-D., Orban, D., & Saunders, M. A. (2022). On GSOR, the generalized successive overrelaxation method for double saddle-point problems. (Rapport technique n° G-2022-35). Lien externe
Huang, N., Dai, Y.-D., Orban, D., & Saunders, M. A. (2022). A semi-conjugate gradient method for solving unsymmetric positive definite linear systems. (Rapport technique n° G-2022-25). Lien externe
Jungwirth, A., Desaulniers, G., Frey, M., & Kolisch, R. (2022). Exact Branch-Price-and-Cut for a Hospital Therapist Scheduling Problem with Flexible Service Locations and Time-Dependent Location Capacity. INFORMS Journal on Computing, 34(2), 1157-1175. Lien externe
Kojtych, S., Nyssen, F., Audet, C., & Batailly, A. (juin 2022). Methodology for the Redesign of Compressor Blades Undergoing Nonlinear Structural Interactions: Application to Blade-Tip/Casing Contacts [Communication écrite]. ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition (GT 2022), Rotterdam, Netherlands (12 pages). Lien externe
Lakhmiri, D., & Le Digabel, S. (2022). Use of Static Surrogates in Hyperparameter Optimization. Operations Research Forum, 3(1). Lien externe
Lakhmiri, D., Alimo, R., & Le Digabel, S. (2022). Anomaly detection for data accountability of Mars telemetry data. Expert Systems With Applications, 189, 116060. Lien externe
Lakhmiri, D., Orban, D., & Lodi, A. (2022). A stochastic proximal method for nonsmooth regularized finite sum optimization. (Rapport technique n° G-2022-27). Lien externe
Lam, E., Desaulniers, G., & Stuckey, P. J. (2022). Branch-and-cut-and-price for the Electric Vehicle Routing Problem with Time Windows, Piecewise-Linear Recharging and Capacitated Recharging Stations. Computers & Operations Research, 145, 16 pages. Lien externe
Lesage-Landry, A., & Callaway, D. S. (2022). Approximated multi-agent fitted Q iteration. (Rapport technique n° G-2022-02). Lien externe
Lesage-Landry, A., & Callaway, D. S. (2022). Batch reinforcement learning for network-safe demand response in unknown electric grids. Electric Power Systems Research, 212, 108375 (7 pages). Lien externe
Lesage-Landry, A., & Callaway, D. S. (2022). Batch reinforcement learning for network-safe demand response in unknown electric grids. (Rapport technique n° G-2021-55). Lien externe
Lesage-Landry, A., Pellerin, F., Taylor, J. A., & Callaway, D. (2022). Optimally scheduling public safety power shutoffs. (Rapport technique n° G-2022-09). Lien externe
Li, F., Kocar, I., & Lesage-Landry, A. (2022). Rapid method for impact analysis of grid-edge technologies on power distribution networks. (Rapport technique n° 2022-45). Lien externe
Lupien, J.-L., & Lesage-Landry, A. (2022). Online Newton's method with linear time-varying equality constraints. (Rapport technique n° G-2022-49). Lien externe
Marcotte, O., Quesnel, F., Carreau, J., Schulz, J., Blondin Massé, A., Lindstrom, M. R., Meurs, M.-J., Hertz, A., Aflaki, G., Plante, J.-F., Tafolong, E., & Gervais-Dubé, M. (2022). Comptes rendus du douzième atelier de résolution de problèmes industriels de Montréal, 22-26 août 2022 / Proceedings of the twelfth Montréal industrial problem solving workshop, August 22-26, 2022. (Rapport technique n° G-2022-63). Lien externe
Mhamedi, T., Andersson, H., Cherkesly, M., & Desaulniers, G. (2022). A Branch-Price-and-Cut Algorithm for the Two-Echelon Vehicle Routing Problem with Time Windows. Transportation Science, 56(1), 245-264. Lien externe
Migot, T., Orban, D., & Siqueira, A. S. (2022). DCISolver.jl: A Julia Solver for Nonlinear Optimization using Dynamic Control of Infeasibility. Journal of Open Source Software, 7(70), 4 pages. Lien externe
Migot, T., Orban, D., & Soares Siqueira, A. (2022). PDENLP models.jl : an NLP model API for optimization problems with PDE-constraints. Journal of Open Source Software, 5 pages. Disponible
Migot, T., Orban, D., & Soares Siquiera, A. (2022). PDENLPModels.jl: An NLPModel API for optimization problems with PDE-constraints. (Rapport technique n° G-2022-42). Lien externe
Monnet, D., Goldsztejn, A., Plestan, F., & Audet, C. (décembre 2022). Second order sliding mode twisting controller tuning based on two-level optimization process [Communication écrite]. IEEE 61st Conference on Decision and Control (CDC 2022), Cancun, MEXICO. Lien externe
Ojand, K., & Dagdougui, H. (2022). Q-Learning-Based Model Predictive Control for Energy Management in Residential Aggregator. IEEE Transactions on Automation Science and Engineering, 19(1), 70-81. Lien externe
Orban, D. (2022). Computing a sparse projection into a box. (Rapport technique n° G-2022-12). Lien externe
Pereira, P., Courtade, E., Aloise, D., Quesnel, F., Soumis, F., & Yaakoubi, Y. (2022). Learning to branch for the crew pairing problem. (Rapport technique n° G-2022-31). Lien externe
Quesnel, F., Wu, A., Desaulniers, G., & Soumis, F. (2022). Deep-learning-based partial pricing in a branch-and-price algorithm for personalized crew rostering. Computers and Operations Research, 138, 15 pages. Lien externe
Rastgar Amini, F., Contardo, C., Desaulniers, G., & Gasse, M. (2022). Learning to enumerate shifts for large-scale flexible personnel scheduling problems. (Rapport technique n° G-2022-29). Lien externe
Rezaei, E., Dagdougui, H., & Rezaei, M. (2022). Distributed Stochastic Model Predictive Control for Peak Load Limiting in Networked Microgrids with Building Thermal Dynamics. IEEE Transactions on Smart Grid, 13(3), 2038-2049. Lien externe
Ricard, L., Desaulniers, G., Lodi, A., & Rousseau, L.-M. (2022). Increasing schedule reliability in the multi-depot vehicle scheduling problem with stochastic travel time. (Rapport technique n° 2022-30). Lien externe
Rimele, A., Gamache, M., Gendreau, M., Grangier, P., & Rousseau, L.-M. (2022). Robotic mobile fulfillment systems: a mathematical modelling framework for e-commerce applications. International Journal of Production Research, 60(11), 3589-3605. Lien externe
Rocha, C., de Sousa Pessoa, B. J., Aloise, D., & dos Anjos Formiga Cabral, L. (2022). An efficient implementation of a VNS heuristic for the weighted fair sequences problem. (Rapport technique n° G-2022-05). Lien externe
Rocha, D., Aloise, D., Aloise, D. J., & Contardo, C. (2022). Visual attractiveness in vehicle routing via bi-objective optimization. Computers & Operations Research, 137, 105507 (14 pages). Disponible
Salhab, R., Le Ny, J., Malhamé, R. P., & Zaccour, G. (2022). Dynamic marketing policies with rating-sensitive consumers: A mean-field games approach. European Journal of Operational Research, 299(3), 1079-1093. Lien externe
Skalnes, J., Andersson, H., Desaulniers, G., & Stalhane, M. (2022). An improved formulation for the inventory routing problem with time-varying demands. European Journal of Operational Research, 302(3), 1189-1201. Lien externe
Tahir, A., Desaulniers, G., & El Hallaoui, I. (2022). Integral column generation for set partitioning problems with side constraints. INFORMS Journal on Computing, 34(4), 2313-2331. Lien externe
Ton, K., Aloise, D., & Contardo, C. (2022). On removing diverse data for training machine learning models. (Rapport technique n° G-2022-38). Lien externe
Tuval, N., Hertz, A., & Kuflik, T. (2022). Addressing the cold start problem in privacy preserving content-based recommender systems using hypercube graphs. (Rapport technique n° G-2022-55). Lien externe
Yu, Q., Adulyasak, Y., Rousseau, L.-M., Zhu, N., & Ma, S. (2022). Team Orienteering with Time-Varying Profit. INFORMS Journal on Computing, 34(1), 262-280. Lien externe
