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Ahabchane, C., Langevin, A., & Trépanier, M. (2020). The mixed capacitated general routing problem with time-dependent demands. Networks, 76(4), 467-484. Lien externe
Anjos, M. F., Gendron, B., & Joyce-Moniz, M. (2020). Increasing electric vehicle adoption through the optimal deployment of fast-charging stations for local and long-distance travel. European Journal of Operational Research, 285(1), 263-278. Lien externe
Augustin, A., Jouvet, P., Lahrichi, N., Lodi, A., & Rousseau, L.-M. (2020). A Data-driven approach to include availability of ICU beds in the planning of the operating room. (Rapport technique n° CIRRELT-2020-10). Lien externe
Bentayeb, D., Lahrichi, N., & Rousseau, L.-M. (mai 2019). Simultaneous Optimization of Appointment Grid and Technologist Scheduling in a Radiology Center [Communication écrite]. 4th International Conference on Health Care Systems Engineering (HCSE 2019), Montréal, Qc, Canada. Lien externe
Bouchet, P.-Y., Gualandi, S., & Rousseau, L.-M. (septembre 2020). Primal Heuristics for Wasserstein Barycenters [Communication écrite]. 17th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2020), Vienna, Austria. Lien externe
Cheng, C., Adulyasak, Y., & Rousseau, L.-M. (2020). Drone routing with energy function: Formulation and exact algorithm. Transportation Research Part B: Methodological, 139, 364-387. Lien externe
Crainic, T. G., Gendreau, M., & Jemai, L. (septembre 2019). Planning hyperconnected, urban logistics systems [Communication écrite]. 22nd EURO Working Group on Transportation Meeting (EWGT 2019), Barcelona, Spain. Publié dans Transportation Research Procedia, 47. Disponible
Dadouchi, C., & Agard, B. (avril 2020). Considering quasi-real time delivery information in product recommendation [Communication écrite]. 8th International Conference on Information Systems, Logistics and Supply Chain: Interconnected Supply Chains in an Era of Innovation (ILS 2020), Austin, TX. Non disponible
Dahmen, S., Rekik, M., Soumis, F., & Desaulniers, G. (2020). A two-stage solution approach for personalized multi-department multi-day shift scheduling. European Journal of Operational Research, 280(3), 1051-1063. Lien externe
Emde, S., Polten, L., & Gendreau, M. (2020). Logic-based benders decomposition for scheduling a batching machine. Computers and Operations Research, 113, 12 pages. Lien externe
Fontaine, P., Crainic, T. G., Gendreau, M., & Minner, S. (2020). Population-based risk equilibration for the multimode hazmat transport network design problem. European Journal of Operational Research, 284(1), 188-200. Lien externe
Garnier, C., Trépanier, M., & Morency, C. (2020). Adjusting Dwell Time for Paratransit Services. Transportation Research Record, 2674(9), 638-648. Lien externe
Gmira, M., Gendreau, M., Lodi, A., & Potvin, J.-Y. (2020). Travel speed prediction based on learning methods for home delivery. EURO Journal on Transportation and Logistics, 9(4), 100006 (16 pages). Disponible
González, J. E., Cire, A. A., Lodi, A., & Rousseau, L.-M. (2020). BDD-based optimization for the quadratic stable set problem. Discrete Optimization, 100610 (24 pages). Lien externe
Hà, M. H., Nguyen Phuong, H., Tran Ngoc Nhat, H., Langevin, A., & Trépanier, M. (2020). Solving the clustered traveling salesman problem with d-relaxed priority rule. International Transactions in Operational Research, 29(2), 837-853. Lien externe
Ha, M. H., Nguyen, T. D., Nguyen Duy, T., Pham, H. G., Do, T., & Rousseau, L.-M. (2020). A new constraint programming model and a linear programming-based adaptive large neighborhood search for the vehicle routing problem with synchronization constraints. Computers and Operations Research, 124, 13 pages. Lien externe
He, L., Agard, B., & Trépanier, M. (2020). A classification of public transit users with smart card data based on time series distance metrics and a hierarchical clustering method. Transportmetrica A: Transport Science, 16(1), 56-75. Lien externe
Isac, J., Pellerin, R., & Léger, P.-M. (2020). Impact of a visual decision support tool in project control: A comparative study using eye tracking. Automation in Construction, 110, 102976 (19 pages). Lien externe
Jeihoonian, M., Kazemi Zanjani, M., & Gendreau, M. (2020). Dynamic reverse supply chain network design under uncertainty: mathematical modeling and solution algorithm. International Transactions in Operational Research, 29(5), 3161-3189. Lien externe
Jena, S. D., Lodi, A., Palmer, H., & Sole, C. (2020). A Partially Ranked Choice Model for Large-Scale Data-Driven Assortment Optimization. INFORMS Journal on Optimization, 2(4), 297-319. Lien externe
Kashani, H. B., & Trépanier, M. (mai 2019). Characterising Annual Behaviour of Carsharing Users in Montreal [Communication écrite]. World Conference on Transport Research (WCTR 2019), Mumbai, India. Publié dans Transportation Research Procedia, 48. Disponible
Keutchayan, J., Munger, D., & Gendreau, M. (2020). On the scenario-tree optimal-value error for stochastic programming problems. Mathematics of Operations Research, 45(4), 1572-1595. Lien externe
Legrain, A., Omer, J., & Rosat, S. (2020). An online stochastic algorithm for a dynamic nurse scheduling problem. European Journal of Operational Research, 285(1), 196-210. Lien externe
Loza-Hernandez, L., & Gendreau, M. (2020). A framework for assessing hazmat risk at nodes of transport networks. International Journal of Disaster Risk Reduction, 50, 101854 (13 pages). Lien externe
Manout, O., El-Megzari, I., & Ciari, F. (2020). Modeling the COVID-19 Pandemic: A Sensitivity Analysis on Input Data Using Agent-Based Transportation Simulation. (Rapport technique n° CIRRELT-2020-34). Lien externe
Ménoire, M., Wielinski, G., Morency, C., & Trépanier, M. (mai 2019). Predicting carsharing station-based trip generation using a growth model [Communication écrite]. 15th World Conference on Transport Research (WCTR 2019), Mumbai, India. Publié dans Transportation Research Procedia, 48. Disponible
Messaoudi, M., El Hallaoui, I., Rousseau, L.-M., & Tahir, A. (mai 2020). Solving a real-world multi-attribute vrp using a primal-based approach [Communication écrite]. 6th International Symposium on Combinatorial Optimization (ISCO 2020), Montréal, Québec. Lien externe
Moradi, M., & Trépanier, M. (mai 2019). Assessing longitudinal stability of public transport users with smart card data [Communication écrite]. 15th World Conference on Transport Research (WCTR 2019), Mumbai, India. Publié dans Transportation Research Procedia, 48. Disponible
Moreno, A., Alem, D., Gendreau, M., & Munari, P. (2020). The heterogeneous multicrew scheduling and routing problem in road restoration. Transportation Research Part B: Methodological, 141, 24-58. Lien externe
Nian, N. A., Trépanier, M., & Frayret, J.-M. (2020). A multi-agent simulation approach to modelling a free-floating carsharing network. (Rapport technique n° CIRRELT-2020-01). Lien externe
Rahmaniani, R., Ahmed, S., Crainic, T. G., Gendreau, M., & Rei, W. (2020). The Benders Dual Decomposition Method. Operations Research, 68(3), 878-895. Lien externe
Restrepo, M. I., Rousseau, L.-M., & Vallee, J. (2020). Home healthcare integrated staffing and scheduling. Omega-International Journal of Management Science, 95(102057), Unsp 10205. Lien externe
Tammam, A. I., Anjos, M. F., & Gendreau, M. (2020). Balancing supply and demand in the presence of renewable generation via demand response for electric water heaters. Annals of Operations Research, 292(2), 753-770. Lien externe
Toqué, F., Côme, E., Trépanier, M., & Oukhellou, L. (2020). Forecasting of the Montreal subway smart card entry logs with event data. (Rapport technique n° CIRRELT-2020-33). Lien externe
Torres, F., Gendreau, M., & Rei, W. (2020). Vehicle routing with stochastic supply of crowd vehicles and time windows. (Rapport technique n° CIRRELT-2020-05). Lien externe
Wang, X., Cheng, Z., Trépanier, M., & Lijun, S. (2020). Modeling bike-sharing demand using a regression model with spatially varying coefficients. (Rapport technique n° CIRRELT-2020-40). Lien externe
Zapolskytė, S., Burinskienė, M., & Trépanier, M. (2020). Evaluation Criteria of Smart City Mobility System Using MCDM Method. The Baltic Journal of Road and Bridge Engineering, 15(4), 196-224. Disponible
