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Bas, T. A., & Keivanpour, S. (2023, July). Sustainability and Industry 4.0 driven business model for smart freight platforms: Multi strategic tools approach [Paper]. 16th World Conference on Transport Research (WCTR 2023), Montréal, QC, Canada. Unavailable
De La Vega, J., Gendreau, M., Morabito, R., Munari, P., & Ordonez, F. (2023). An integer L-shaped algorithm for the vehicle routing problem with time windows and stochastic demands. European Journal of Operational Research, 308(2), 676-695. External link
Deschaintres, E., Morency, C., & Trépanier, M. (2023). Modeling interactions between the Montreal subway and other urban transportation modes at the station level. Tunnelling and Underground Space Technology, 136, 105079 (17 pages). External link
Florio, A. M., Gendreau, M., Hartl, R. F., Minner, S., & Vidal, T. (2023). Recent advances in vehicle routing with stochastic demands: Bayesian learning for correlated demands and elementary branch-price-and-cut. European Journal of Operational Research, 306(3), 1081-1093. External link
Gamache, M., Basilico, G., Frayret, J.-M., & Riopel, D. (2023). Real-time multi-agent fleet management strategy for autonomous underground mines vehicles. International Journal of Mining, Reclamation and Environment, 18 pages. External link
Ghorbani, E., Keivanpour, S., Sekkay, F., & Imbeau, D. (2023). Ergonomic assembly line balancing problems evolution and future trends with insights into industry 5.0 paradigm. (Report n° CIRRELT-2023-19). External link
Guillen Reyes, F. O., Potvin, J.-Y., Gendreau, M., & Vidal, T. (2023). Impact of distance data inaccuracies on vehicle routing algorithms: An experimental study. (Annual Report n° CIRRELT-2023-21). External link
He, P., Jin, J. G., Schulte, F., & Trépanier, M. (2023). Optimizing first-mile ridesharing services to intercity transit hubs. Transportation Research Part C: Emerging Technologies, 150, 104082 (19 pages). External link
Kazemi Miyangaskary, M., Keivanpour, S., & Safari, H. (2023, July). A multi-objective optimization model of a closed-loop supply chain for supplier selection and order allocation under uncertainty: A case study of retail stores for protein products [Paper]. 16th World Conference on Transport Research (WCTR 2023), Montréal, QC, Canada. Unavailable
Mahnam, M., Fallahi, A., Akhavan Niaki, S. T., & Gendreau, M. (2023). A variable reference point many-objective approach to direct angle and aperture optimization in radiation therapy treatment planning. (Technical Report n° CIRRELT-2023-15). External link
Mufida, M. K., Ait El Cadi, A., Delot, T., Trépanier, M., & Zekri, D. (2023). Spatiotemporal Clustering of Parking Lots at the City Level for Efficiently Sharing Occupancy Forecasting Models. Sensors, 23(11), 5248 (25 pages). External link
Muñoz-Soto, V. D., Dávila-Gálvez, S., Pérez, A. E., Rojo-González, L., Valenzuela-Levi, N., & Vásquez, Ó. C. (2023). COVID-19, waste production and municipal recycling programs: Insights from Chile to the global south. Science of The Total Environment, 899, 13 pages. External link
Neumann, A., Hajji, A., Rekik, M., & Pellerin, R. (2023). Genetic algorithms for planning and scheduling engineer-to-order production: a systematic review. International Journal of Production Research, 30 pages. External link
Nguyen, A., Bougacha, O., Lekens, B., Lamouri, S., Pellerin, R., & Couvreur, C. (2022, November). On the use of logistics data to anticipate drugs shortages through data mining [Paper]. International Conference on ENTERprise Information Systems (CENTERIS 2022), Lisbon, Portugal. Published in Procedia Computer Science, 219. External link
Niroumandrad, N., Lahrichi, N., & Lodi, A. (2022, July). A Learning Metaheuristic Algorithm for a Scheduling Application [Paper]. 14th International Conferecne on Metaheuristics (MIC 2022), Syracure, Italy. External link
Padidar, M., Keivanpour, S., & Ben Ali, M. (2023). A hybrid modeling approach to joint matching and pricing in an intelligent freight transportation platform. (Technical Report n° CIRRELT-2023-24). External link
Parada, L., Legault, R., Côté, J.-F., & Gendreau, M. (2023). The disaggregated integer L-shaped method for the stochastic vehicle routing problem. (Technical Report n° CIRRELT-2023-05). External link
Pham, T. S., Legrain, A., De Causmaecker, P., & Rousseau, L.-M. (2023). A Prediction-Based Approach for Online Dynamic Appointment Scheduling: A Case Study in Radiotherapy Treatment. INFORMS Journal on Computing, 26 pages. External link
Rahmaniani, R., Crainic, T. G., Gendreau, M., & Rei, W. (2023). An asynchronous parallel Benders Decompostion method for stochastic network design problems. (Technical Report n° CIRRELT-2023-04). External link
Santini, A., Schneider, M., Vidal, T., & Vigo, D. (2023). Decomposition Strategies for Vehicle Routing Heuristics. INFORMS Journal on Computing, 18 pages. External link
Vahdani, B., Mohammadi, M., Thevenin, S., Gendreau, M., Dolgui, A., & Meyer, P. (2023). Fair-split distribution of multi-dose vaccines with prioritized age groups and dynamic demand: The case study of COVID-19. European Journal of Operational Research, 310(3), 1249-1272. Available
Zhou, H., Qin, H., Cheng, C., & Rousseau, L.-M. (2023). An exact algorithm for the two-echelon vehicle routing problem with drones. Transportation Research Part B: Methodological, 168, 124-150. External link
