Documents publiés en "2021"

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

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

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

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

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

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

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

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