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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
Farghadani-Chaharsooghi, P., Hashemi Doulabi, H., Rei, W., & Gendreau, M. (2023). Stochastic casualty response planning with multiple classes of patients. (Rapport technique n° CIRRELT-2023-41). 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
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
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
Motta, V. N., Anjos, M. F., & Gendreau, M. (2023). Optimal allocation of demand response considering transmission system congestion. Computational Management Science, 20(1), 25 (22 pages). Lien externe
Motta, V. N., Anjos, M. F., & Gendreau, M. (2023). Survey of optimization models for power system operation and expansion planning with demand response. European Journal of Operational Research, 312(2), 401-412. Lien externe
Ouzineb, M., El Hallaoui, I., & Gendreau, M. (2023). Integer linear programming for a constant demand in redundancy allocation multistate series-parallel problem. (Rapport technique n° G-2023-32). 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
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
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
