Documents publiés en "2021"

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Bretin, A., Desaulniers, G., & Rousseau, L.-M. (2021). The traveling salesman problem with time windows in postal services. Journal of the Operational Research Society, 72(2), 383-397. Lien externe

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Camiat, F., Restrepo, M. I., Chauny, J.-M., Lahrichi, N., & Rousseau, L.-M. (2021). Productivity-driven physician scheduling in emergency departments. Health Systems, 10(2), 104-117. Lien externe

Cappart, Q., Moisan, T., Rousseau, L.-M., Prémont-Schwarz, I., & Cire, A. A. (février 2021). Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization [Communication écrite]. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence. Publié dans Proceedings of the ... AAAI Conference on Artificial Intelligence, 35(5). Lien externe

Chalumeau, F., Coulon, I., Cappart, Q., & Rousseau, L.-M. (juillet 2021). SeaPearl: A Constraint Programming Solver Guided by Reinforcement Learning [Communication écrite]. 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2021), Vienna, Austria. Lien externe

Cheng, C., Adulyasak, Y., & Rousseau, L.-M. (2021). Robust facility location under demand uncertainty and facility disruptions. Omega-International Journal of Management Science, 103, 102429 (14 pages). Lien externe

Cheng, C., Adulyasak, Y., & Rousseau, L.-M. (2021). Robust Facility Location Under Disruptions. INFORMS Journal on Optimization, 3(3), 298-314. Lien externe

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Gauthier Melancon, G., Grangier, P., Prescott-Gagnon, E., Sabourin, E., & Rousseau, L.-M. (2021). A Machine Learning-Based System for Predicting Service-Level Failures in Supply Chains. Interfaces, 51(3), 200-212. Lien externe

Grangier, P., Gendreau, M., Lehuede, F., & Rousseau, L.-M. (2021). The vehicle routing problem with cross-docking and resource constraints. Journal of Heuristics, 27(1-2), 31-61. Lien externe

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Haouassi, M., Kergosien, Y., Mendoza, J. E., & Rousseau, L.-M. (2021). The integrated orderline batching, batch scheduling, and picker routing problem with multiple pickers: the benefits of splitting customer orders. Flexible Services and Manufacturing Journal, 34(3), 614-645. Lien externe

Hashemi Doulabi, H., Jaillet, P., Pesant, G., & Rousseau, L.-M. (2021). Exploiting the Structure of Two-Stage Robust Optimization Models with Exponential Scenarios. INFORMS Journal on Computing, 33(1), 143-162. Lien externe

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Joshi, C. K., Cappart, Q., Rousseau, L.-M., & Laurent, T. (octobre 2021). Learning TSP requires rethinking generalization [Communication écrite]. 27th International Conference on Principles and Practice of Constraint Programming (CP 2021), Montpellier, France (21 pages). Disponible

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Kafaei, P., Cappart, Q., Renaud, M.-A., Chapados, N., & Rousseau, L.-M. (2021). Graph neural networks and deep reinforcement learning for simultaneous beam orientation and trajectory optimization of Cyberknife. Physics in Medicine and Biology, 66(21), 215002 (17 pages). Lien externe

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Parjadis, A., Cappart, Q., Rousseau, L.-M., & Bergman, D. (juillet 2021). Improving Branch-and-Bound Using Decision Diagrams and Reinforcement Learning [Communication écrite]. 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2021), Vienna, Austria. Lien externe

Pham, T.-S., Rousseau, L.-M., & De Causmaecker, P. (2021). A two-phase approach for the Radiotherapy Scheduling Problem. Health Care Management Science, 25(2), 191-207. Lien externe

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Rimelé, A., Grangier, P., Gamache, M., Gendreau, M., & Rousseau, L.-M. (2021). E-commerce warehousing : learning a storage policy. (Rapport technique n° CIRRELT-2021-03). Lien externe

Rousseau, L.-M., Bourque-Viens, A., Saulnier, M., Hoffman, A., Brown, G., Vanberkel, P., Tyldesley, S., Patrick, J., Langley, J., Ghali, W., Forster, A., Fortin, M.-A., Carter, M., & Buckeridge, D. R. (2021). Report of the Task force on optimal use of health system capacity expert group on health systems. (Rapport technique). Non disponible