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Ferraz, A., Cappart, Q., & Vidal, T. (juin 2022). Deep-Learning for Data-Driven Districting and Routing [Communication écrite]. 11th Triennial Symposium on Transportation Analysis conference (TRISTAN XI), Mauritius Island. Lien externe
Florio, A. M., Feillet, D., Poggi, M., & Vidal, T. (2022). Vehicle Routing with Stochastic Demands and Partial Reoptimization. Transportation Science, 1393-1408. Lien externe
Gribel, D., Gendreau, M., & Vidal, T. (2022). Semi-supervised clustering with inaccurate pairwise annotations. Information Sciences, 607, 441-457. Lien externe
Jungel, K., Parmentier, A., Schiffer, M., & Vidal, T. (juin 2022). Structured-Learning-Based Fleet Control for Autonomous Mobility-on-Demand Systems [Communication écrite]. 11th Triennial Symposium on Transportation Analysis conference (TRISTAN XI), Mauritius Island (4 pages). Lien externe
Kool, W., Bliek, L., Numeroso, D., Zhang, Y., Catshoek, T., Tierney, K., Vidal, T., & Gromicho, J. (novembre 2022). Vehicle routing heuristics : a quick tour d'horizon [Communication écrite]. The EURO Meets NeurIPS 2022 Vehicle Routing Competition (45 pages). Non disponible
Nekooghadirli, N., Gendreau, M., Potvin, J.-Y., & Vidal, T. (2022). Workload equity in multi-period vehicle routing problems. (Rapport technique n° CIRRELT-2022-22). Lien externe
Vidal, T. (2022). Hybrid genetic search for the CVRP: Open-source implementation and SWAP* neighborhood. Computers & Operations Research, 140, 105643-105643. Lien externe
