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Bas, T. A., & Keivanpour, S. (juillet 2023). Sustainability and Industry 4.0 driven business model for smart freight platforms: Multi strategic tools approach [Communication écrite]. 16th World Conference on Transport Research (WCTR 2023), Montréal, QC, Canada. Lien externe
Bouvier, L., Dalle, G., Parmentier, A., & Vidal, T. (2023). Solving a Continent-Scale Inventory Routing Problem at Renault. Transportation Science, 22 pages. Lien externe
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. Lien externe
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). Lien externe
Dupuis, A., Dadouchi, C., & Agard, B. (2023). A decision support system for sequencing production in the manufacturing industry. Computers & Industrial Engineering, 185, 109686 (14 pages). Lien externe
Dupuis, A., Dadouchi, C., & Agard, B. (2023). Methodology for multi-temporal prediction of crop rotations using recurrent neural networks. Smart Agricultural Technology, 4, 100152 (13 pages). Disponible
Dupuis, A., Dadouchi, C., & Agard, B. (2023). Performances of a Seq2Seq-LSTM methodology to predict crop rotations in Québec. Smart Agricultural Technology, 4, 100180 (12 pages). Disponible
Fischer, V., Pacheco Paneque, M., Legrain, A., & Burgy, R. (2023). A capacitated multi-vehicle covering tour problem on a road network and its application to waste collection. European Journal of Operational Research, 16 pages. Lien externe
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. Lien externe
Florio, A. M., Martins, P., Schiffer, M., Serra, T., & Vidal, T. (février 2023). Optimal Decision Diagrams for Classification [Communication écrite]. 37th AAAI Conference on Artificial Intelligence (AAAI 2023) and 35th Conference on Innovative Applications of Artificial Intelligence (IAAI 2023) and 13th Symposium on Educational Advances in Artificial Intelligence (EAAAI 2023), Washington, DC, USA. Lien externe
Forel, A., Parmentier, A., & Vidal, T. (juillet 2023). Explainable Data-Driven Optimization: From Context to Decision and Back Again [Communication écrite]. 40th International Conference on Machine Learning (ICML 2023), Honolulu, HI, USA (18 pages). Lien externe
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, 37(9), 649-666. Lien externe
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. (Rapport n° CIRRELT-2023-19). Lien externe
Guillen Reyes, F. O., Potvin, J.-Y., Gendreau, M., & Vidal, T. (2023). Impact of distance data inaccuracies on vehicle routing algorithms: An experimental study. (Rapport annuel n° CIRRELT-2023-21). Lien externe
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). Lien externe
Hosseini, S.-S., Adulyasak, Y., & Rousseau, L.-M. (2023). Home health care delivery with consistency consideration in a stochastic environment. (Rapport technique n° G-2023-45). Lien externe
Kazemi Miyangaskary, M., Keivanpour, S., & Safari, H. (juillet 2023). 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 [Communication écrite]. 16th World Conference on Transport Research (WCTR 2023), Montréal, QC, Canada. Lien externe
Labelle, A., & Frayret, J.-M. (2023). First-mile reverse logistics: An agent-based modelling and simulation application for glass bottle recovery. Journal of Cleaner Production, 422, 138574 (11 pages). Lien externe
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. (Rapport technique n° CIRRELT-2023-15). Lien externe
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). Lien externe
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. Lien externe
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. Lien externe
Nguyen, A., Bougacha, O., Lekens, B., Lamouri, S., Pellerin, R., & Couvreur, C. (novembre 2022). On the use of logistics data to anticipate drugs shortages through data mining [Communication écrite]. International Conference on ENTERprise Information Systems (CENTERIS 2022), Lisbon, Portugal. Publié dans Procedia Computer Science, 219. Lien externe
Niroumandrad, N., Lahrichi, N., & Lodi, A. (juillet 2022). A Learning Metaheuristic Algorithm for a Scheduling Application [Communication écrite]. 14th International Conferecne on Metaheuristics (MIC 2022), Syracure, Italy. Lien externe
Padidar, M., Keivanpour, S., & Ben Ali, M. (2023). A hybrid modeling approach to joint matching and pricing in an intelligent freight transportation platform. (Rapport technique n° CIRRELT-2023-24). Lien externe
Parada, L., Legault, R., Côté, J.-F., & Gendreau, M. (2023). The disaggregated integer L-shaped method for the stochastic vehicle routing problem. (Rapport technique n° CIRRELT-2023-05). Lien externe
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, 35(4), 844-868. Lien externe
Pirie, S., Trépanier, M., Rei, W., & Sekkay, F. (juin 2023). Livrer des marchandises l'hiver à Montréal, quelles réalités pour les livreurs à vélo-cargo ? [Communication écrite]. 5e éditions des Rencontres Francophones Transport Mobilité (RFTM 2023), Dijon, France. Lien externe
Rahmaniani, R., Crainic, T. G., Gendreau, M., & Rei, W. (2023). An asynchronous parallel Benders Decompostion method for stochastic network design problems. (Rapport technique n° CIRRELT-2023-04). Lien externe
Santini, A., Schneider, M., Vidal, T., & Vigo, D. (2023). Decomposition Strategies for Vehicle Routing Heuristics. INFORMS Journal on Computing, 35(3), 543-559. Lien externe
Schettini, T., Gendreau, M., Jabali, O., & Malucelli, F. (2023). An Iterated Local Search Metaheuristic for the Capacitated Demand-Driven Timetabling Problem. Transportation Science, 57(5), 1379-1401. Lien externe
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. Disponible
Vende, P., Desaulniers, G., Kergosien, Y., & Mendoza, J. E. (2023). Matheuristics for a multi-day electric bus assignment and overnight recharge scheduling problem. Transportation Research Part C: Emerging Technologies, 156, 104360 (21 pages). Lien externe
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. Lien externe
