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Bayani, M., Adulyasak, Y., & Rousseau, L.-M. (2024). Learning and modeling implicit constraints in optimization models through decision trees. (Rapport technique n° G-2024-78). Lien externe
Bayani, M., Rostami, B., Adulyasak, Y., & Rousseau, L.-M. (2024). A Dual Bounding Framework Through Cost Splitting for Binary Quadratic Optimization. Informs Journal on Computing, 22-22. Lien externe
Bouthillier, M.-È., Farmer, Y., Ramirez, C. C., Downar, J., Frolic, A., Dahine, J., Opatrny, L., Poirier, D., Bravo, G., L'Espérance, A., Payot, A., Tanuseputro, P., Rousseau, L.-M., Dumez, V., Descôteaux, A., Dallaire, C., Laporte, K., & Gaucher, N. (2024). Public perspectives on COVID-19 triage protocols for access to critical care in extreme pandemic context. PLoS ONE, 19(12), e0314460 (17 pages). Disponible
Calderon Ramirez, C. L., Farmer, Y., Downar, J., Frolic, A., Opatrny, L., Poirier, D., Bravo, G., L'Espérance, A., Gaucher, N., Payot, A., Dahine, J., Tanuseputro, P., Rousseau, L.-M., Dumez, V., Descôteaux, A., Dallaire, C., Laporte, K., & Bouthillier, M.-È. (2024). Assessing the Quality of an Online Democratic Deliberation on COVID-19 Pandemic Triage Protocols for Access to Critical Care in an Extreme Pandemic Context: Mixed Methods Study. Journal of Participatory Medicine, 16. Disponible
Cheng, C., Adulyasak, Y., & Rousseau, L.-M. (2024). Robust Drone Delivery with Weather Information. Manufacturing and Service Operations Management, 26(4), 1402-1421. Lien externe
Cheng, C., Yu, Q., Adulyasak, Y., & Rousseau, L.-M. (2024). Distributionally robust facility location with uncertain facility capacity and customer demand. Omega, 122, 16 pages. Lien externe
Contardo, C., Fukasawa, R., Rousseau, L.-M., & Vidal, T. (mai 2024). Optimal Counterfactual Explanations for k-Nearest Neighbors Using Mathematical Optimization and Constraint Programming [Communication écrite]. 8th International Symposium on Combinatorial Optimization (ISCO 2024), La Laguna, Tenerife, Spain. Lien externe
Haouassi, M., Kergosien, Y., Mendoza, J. E., & Rousseau, L.-M. (2024). The picker routing problem in mixed-shelves, multi-block warehouses. International Journal of Production Research, 2374845 (22 pages). Lien externe
Marty, T., Boisvert, L., François, T., Tessier, P., Gautier, L., Rousseau, L.-M., & Cappart, Q. (2024). Learning and fine-tuning a generic value-selection heuristic inside a constraint programming solver. Constraints, 27 pages. Disponible
Parjadis, A., Cappart, Q., Dilkina, B., Ferber, A., & Rousseau, L.-M. (septembre 2024). Learning Lagrangian Multipliers for the Travelling Salesman Problem [Communication écrite]. 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), Girona, Spain (18 pages). Lien externe
Qu, Y., Shourabizadeh, H., Subramanian, A., Aleman, D. M., Rousseau, L.-M., Law, A., Viswabandya, A., & Michelis, F. V. (2024). Differential Impact of CD34+ Cell Dose for Different Age Groups in Allogeneic Hematopoietic Cell Transplantation for Acute Leukemia: A Machine Learning-Based Discovery. Transplantation and Cellular Therapy, 30(2), S105-S105. Lien externe
Qu, Y., Shourabizadeh, H., Subramanian, A., Aleman, D. M., Rousseau, L.-M., Law, A., Viswabandya, A., & Michelis, F. V. (2024). Differential impact of cd34+ cell dose for different age groups in allogeneic hematopoietic cell transplantation for acute leukemia: a machine learning-based discovery. Experimental Hematology, 104684 (24 pages). Lien externe
Ramirez, C. C., Farmer, Y., Frolic, A., Bravo, G., Gaucher, N. O., Payot, A., Opatrny, L., Poirier, D., Dahine, J., L'Espérance, A., Downar, J., Tanuseputro, P., Rousseau, L.-M., Dumez, V., Descôteaux, A., Dallaire, C., Laporte, K., & Bouthillier, M.- (2024). What are the views of Quebec and Ontario citizens on the tiebreaker criteria for prioritizing access to adult critical care in the extreme context of a COVID-19 pandemic? Bmc Medical Ethics, 25(1), 14-14. Lien externe
Restrepo, M. I., Gendron, B., & Rousseau, L.-M. (2024). Decomposition-Based Algorithms for Mixed-Integer Linear Programs with Integer Subproblems. Dans Crainic, T. G., Gendreau, M., & Frangioni, A. (édit.), Combinatorial Optimization and Applications (p. 227-257). Lien externe
Ricard, L., Desaulniers, G., Lodi, A., & Rousseau, L.-M. (2024). Increasing schedule reliability in the multiple depot vehicle scheduling problem with stochastic travel time. Omega-International Journal of Management Science, 127, 103100 (19 pages). Disponible
Ta-Dinh, Q., Pham, T.-S., Hà, M. H., & Rousseau, L.-M. (2024). A reinforcement learning approach for the online dynamic home health care scheduling problem. Health Care Management Science, 15 pages. Lien externe
Zhu, L., Adulyasak, Y., & Rousseau, L.-M. (2024). Partial-outsourcing strategy for the vehicle routing problem with stochastic demands. (Rapport technique n° G-2024-70). Lien externe
