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Documents publiés en "2023"

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Nombre de documents: 8

B

Bouvier, L., Dalle, G., Parmentier, A., & Vidal, T. (2023). Solving a Continent-Scale Inventory Routing Problem at Renault. Transportation Science, 22 pages. Lien externe

F

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

G

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

P

Pacheco, T., Martinelli, R., Subramanian, A., Toffolo, T. A. M., & Vidal, T. (2023). Exponential-Size Neighborhoods for the Pickup-and-Delivery Traveling Salesman Problem. Transportation Science, 57(2), 463-481. Lien externe

Parmentier, A., Martinelli, R., & Vidal, T. (2023). Electric Vehicle Fleets: Scalable Route and Recharge Scheduling Through Column Generation. Transportation Science, 57(3), 631-646. Lien externe

S

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

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