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Thibaut VidalDepartment of Mathematics and Industrial Engineering
Profile in the Directory of Experts of Polytechnique Montréal
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Archetti, C., Uchoa, E., & Vidal, T. (2024). Special Section on "DIMACS Implementation Challenge: Vehicle Routing" and "The EURO Meets NeurIPS 2022 Vehicle Routing Competition". Transportation Science, 58(4), 685-686. External link
Albuquerque, M., & Vidal, T. (2018). An efficient matheuristic for the minimum-weight dominating set problem. Applied Soft Computing, 72, 527-538. External link
Bouvier, L., Dalle, G., Parmentier, A., & Vidal, T. (2023). Continent-scale inventory routing instances [Dataset]. External link
Bouvier, L., Dalle, G., Parmentier, A., & Vidal, T. (2023). Continent-scale inventory routing solutions [Dataset]. External link
Bouvier, L., Dalle, G., Parmentier, A., & Vidal, T. (2023). Solving a Continent-Scale Inventory Routing Problem at Renault. Transportation Science, 22 pages. External link
Borthen, T., Loennechen, H., Fagerholt, K., Wang, X., & Vidal, T. (2019). Bi-objective offshore supply vessel planning with costs and persistence objectives. Computers & Operations Research, 111, 285-296. External link
Breunig, U., Baldacci, R., Hartl, R. F., & Vidal, T. (2019). The electric two-echelon vehicle routing problem. Computers & Operations Research, 103, 198-210. External link
Bui, Q. T., Vidal, T., & Hà, M. H. (2019). On three soft rectangle packing problems with guillotine constraints. Journal of Global Optimization, 74(1), 45-62. External link
Borthen, T., Loennechen, H., Wang, X., Fagerholt, K., & Vidal, T. (2018). A genetic search-based heuristic for a fleet size and periodic routing problem with application to offshore supply planning. EURO Journal on Transportation and Logistics, 7(2), 121-150. External link
Bulhões, T., Hà, M. H., Martinelli, R., & Vidal, T. (2018). The vehicle routing problem with service level constraints. European Journal of Operational Research, 265(2), 544-558. External link
Breunig, U., Schmid, V., Hartl, R. F., & Vidal, T. (2016). A large neighbourhood based heuristic for two-echelon routing problems. Computers & Operations Research, 76, 208-225. External link
Contardo, C., Fukasawa, R., Rousseau, L.-M., & Vidal, T. (2024, May). Optimal Counterfactual Explanations for k-Nearest Neighbors Using Mathematical Optimization and Constraint Programming [Paper]. 8th International Symposium on Combinatorial Optimization (ISCO 2024), La Laguna, Tenerife, Spain. External link
Capua, R., Frota, Y., Ochi, L. S., & Vidal, T. (2018). A study on exponential-size neighborhoods for the bin packing problem with conflicts. Journal of Heuristics, 24(4), 667-695. External link
Cattaruzza, D., Absi, N., Feillet, D., & Vidal, T. (2014). A memetic algorithm for the Multi Trip Vehicle Routing Problem. European Journal of Operational Research, 236(3), 833-848. External link
Crainic, T. G., Crisan, G. C., Gendreau, M., Lahrichi, N., Rei, W., & Vidal, T. (2009, July). A concurrent evolutionary approach for rich combinatorial problems [Paper]. Genetic and Evolutionary Computation Conference (GECC 2009), Montréal, Québec. External link
Crainic, T. G., Crisan, G. C., Gendreau, M., Lahrichi, N., Rei, W., & Vidal, T. (2009, July). Integrative cooperative meta-heuristics for rich combinatorial problems [Paper]. VIII Metaheuristic International Conference (MIC 2009), Hambourg, Allemagne. Unavailable
Crainic, T. G., Crisan, G. C., Gendreau, M., Lahrichi, N., Rei, W., & Vidal, T. (2009, May). Multi-thread cooperative optimization for rich combinatorial problems [Paper]. 23rd IEEE international Parallel & Distributed Processing Symposium (IPDPS 2009), Rome, Italy (8 pages). External link
El Hachemi, N., Crainic, T. G., Lahrichi, N., Rei, W., & Vidal, T. (2015). Solution integration in combinatorial optimization with applications to cooperative search and rich vehicle routing. Journal of Heuristics, 21(5), 663-685. External link
El Hachemi, N., Crainic, T. G., Lahrichi, N., Rei, W., & Vidal, T. (2014). Solution integration in combinatorial optimization with applications to cooperative search and rich vehicle routing. (Technical Report n° CIRRELT-2014-40). External link
Ferreira, V., Pessoa, A., & Vidal, T. (2024). Influence optimization in networks: New formulations and valid inequalities. Computers & Operations Research, 106857 (14 pages). External link
Forel, A., Parmentier, A., & Vidal, T. (2024, May). Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles [Paper]. 21st International Conference on Integration of Constraint Programming, Artificial Intelligence and Operations Research (CPAIOR 2024), Uppsala, Sweden. External link
Ferry, J., Fukasawa, R., Pascal, T., & Vidal, T. (2024, July). Trained Random Forests Completely Reveal your Dataset [Paper]. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria. 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
Forel, A., Parmentier, A., & Vidal, T. (2023, July). Explainable Data-Driven Optimization: From Context to Decision and Back Again [Paper]. 40th International Conference on Machine Learning (ICML 2023), Honolulu, HI, USA (18 pages). External link
Florio, A. M., Martins, P., Schiffer, M., Serra, T., & Vidal, T. (2023, February). Optimal Decision Diagrams for Classification [Paper]. 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. External link
Florio, A. M., Feillet, D., Poggi, M., & Vidal, T. (2022). Vehicle Routing with Stochastic Demands and Partial Reoptimization. Transportation Science, 1393-1408. External link
Fontoura, L., Martinelli, R., Poggi, M., & Vidal, T. (2018). The minimum distance superset problem: formulations and algorithms. Journal of Global Optimization, 72(1), 27-53. 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
Gribel, D., Gendreau, M., & Vidal, T. (2022). Semi-supervised clustering with inaccurate pairwise annotations. Information Sciences, 607, 441-457. External link
Goel, A., Vidal, T., & Kok, A. L. (2021). To team up or not: single versus team driving in European road freight transport. Flexible Services and Manufacturing Journal, 33(4), 879-913. Available
Gribel, D., Vidal, T., & Gendreau, M. (2021, January). Assortative-constrained stochastic block models [Paper]. 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy. External link
Gribel, D., & Vidal, T. (2019). HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering. Pattern Recognition, 88, 569-583. External link
Goel, A., & Vidal, T. (2014). Hours of Service Regulations in Road Freight Transport: An Optimization-Based International Assessment. Transportation Science, 48(3), 391-412. External link
Goel, A., & Vidal, T. (2012). Hours of service regulations in road freight transport: An optimization-based international assessment. (Technical Report n° CIRRELT-2012-08). External link
Homsi, G., Martinelli, R., Vidal, T., & Fagerholt, K. (2020). Industrial and tramp ship routing problems: Closing the gap for real-scale instances. European Journal of Operational Research, 283(3), 972-990. External link
Hiermann, G., Hartl, R. F., Puchinger, J., & Vidal, T. (2019). Routing a mix of conventional, plug-in hybrid, and electric vehicles. European Journal of Operational Research, 272(1), 235-248. External link
Herszterg, I., Poggi, M., & Vidal, T. (2019). Two-Dimensional Phase Unwrapping via Balanced Spanning Forests. INFORMS Journal on Computing, 31(3), 527-543. External link
Haddad, M. N., Martinelli, R., Vidal, T., Martins, S., Ochi, L. S., Souza, M. J. F., & Hartl, R. (2018). Large neighborhood-based metaheuristic and branch-and-price for the pickup and delivery problem with split loads. European Journal of Operational Research, 270(3), 1014-1027. External link
Kool, W., Bliek, L., Numeroso, D., Zhang, Y., Catshoek, T., Tierney, K., Vidal, T., & Gromicho, J. (2022, November). Vehicle routing heuristics : a quick tour d'horizon [Paper]. The EURO Meets NeurIPS 2022 Vehicle Routing Competition (45 pages). Unavailable
Kramer, R., Iori, M., & Vidal, T. (2020). Mathematical Models and Search Algorithms for the Capacitated p-Center Problem. INFORMS Journal on Computing, 32(2), 444-460. External link
Kramer, R., Subramanian, A., Vidal, T., & Cabral, L. A. F. (2015). A matheuristic approach for the Pollution-Routing Problem. European Journal of Operational Research, 243(2), 523-539. External link
Kramer, R., Maculan, N., Subramanian, A., & Vidal, T. (2015). A speed and departure time optimization algorithm for the pollution-routing problem. European Journal of Operational Research, 247(3), 782-787. External link
Lahrichi, N., Crainic, T. G., Gendreau, M., Rei, W., Crişan, G. C., & Vidal, T. (2015). An integrative cooperative search framework for multi-decision-attribute combinatorial optimization: Application to the MDPVRP. European Journal of Operational Research, 246(2), 400-412. External link
Laporte, G., Ropke, S., & Vidal, T. (2014). Heuristics for the Vehicle Routing Problem. In Vehicle Routing (pp. 87-116). External link
Lahrichi, N., Crainic, T. G., Gendreau, M., Rei, W., Crişan, G. C., & Vidal, T. (2012). An integrative cooperative search framework for multi-decision-attribute combinatorial optimization. (Technical Report n° CIRRELT-2012-42). External link
Mecler, J., Subramanian, A., & Vidal, T. (2021). A simple and effective hybrid genetic search for the job sequencing and tool switching problem. Computers & Operations Research, 127, 105153-105153. External link
Matl, P., Hartl, R. F., & Vidal, T. (2019). Leveraging single-objective heuristics to solve bi-objective problems: Heuristic box splitting and its application to vehicle routing. Networks, 73(4), 382-400. External link
Matl, P., Hartl, R. F., & Vidal, T. (2019). Workload equity in vehicle routing: The impact of alternative workload resources. Computers & Operations Research, 110, 116-129. External link
Matl, P., Hartl, R. F., & Vidal, T. (2018). Workload Equity in Vehicle Routing Problems: A Survey and Analysis. Transportation Science, 52(2), 239-260. External link
Masson, R., Vidal, T., Michallet, J., Penna, P. H. V., Petrucci, V., Subramanian, A., & Dubedout, H. (2013). An iterated local search heuristic for multi-capacity bin packing and machine reassignment problems. Expert Systems With Applications, 40(13), 5266-5275. External link
Masson, R., Vidal, T., Michallet, J., Vaz Penna Puca, H., Petrucci, V., Subramanian, A., & Dubedout, H. (2012). An iterated local search heuristic for multi-capacity bin packing and machine reassignment problems. (Technical Report n° CIRRELT-2012-70). External link
Nekooghadirli, N., Gendreau, M., Potvin, J.-Y., & Vidal, T. (2022). Workload equity in multi-period vehicle routing problems. (Technical Report n° CIRRELT-2022-22). External link
Parmentier, A., Martinelli, R., & Vidal, T. (2023). Electric Vehicle Fleets: Scalable Route and Recharge Scheduling Through Column Generation. Transportation Science, 57(3), 631-646. External link
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. External link
Parmentier, A., & Vidal, T. (2021, July). Optimal counterfactual explanations in tree ensembles [Paper]. 38th International Conference on Machine Learning (ICML 2021). External link
Penna, P. H. V., Subramanian, A., Ochi, L. S., Vidal, T., & Prins, C. (2019). A hybrid heuristic for a broad class of vehicle routing problems with heterogeneous fleet. Annals of Operations Research, 273(1), 5-74. External link
Paes, F. G., Pessoa, A. A., & Vidal, T. (2017). A hybrid genetic algorithm with decomposition phases for the Unequal Area Facility Layout Problem. European Journal of Operational Research, 256(3), 742-756. External link
Queiroga, E., Frota, Y., Sadykov, R., Subramanian, A., Uchoa, E., & Vidal, T. (2020). On the exact solution of vehicle routing problems with backhauls. European Journal of Operational Research, 287(1), 76-89. External link
Ribeiro, G. M., Desaulniers, G., Desrosiers, J., Vidal, T., & Vieira, B. S. (2014). Efficient heuristics for the workover rig routing problem with a heterogeneous fleet and a finite horizon. Journal of Heuristics, 20(6), 677-708. External link
Serrano, B., & Vidal, T. (2024). Community detection in the stochastic block model by mixed integer programming. Pattern Recognition, 152, 110487 (12 pages). Available
Serrano, B., Minner, S., Schiffer, M., & Vidal, T. (2024). Bilevel optimization for feature selection in the data-driven newsvendor problem. European Journal of Operational Research, 315(2), 703-714. Available
Sampaio, R. A., Dias Garcia, J., Poggi, M., & Vidal, T. (2024). Regularization and optimization in model-based clustering. Pattern Recognition, 150, 110310 (14 pages). External link
Sadana, U., Chenreddy, A., Delage, E., Forel, A., Frejinger, E., & Vidal, T. (2024). A survey of contextual optimization methods for decision-making under uncertainty. European Journal of Operational Research, 19 pages. External link
Santini, A., Schneider, M., Vidal, T., & Vigo, D. (2023). Decomposition Strategies for Vehicle Routing Heuristics. INFORMS Journal on Computing, 35(3), 543-559. External link
Santana, I., Lodi, A., & Vidal, T. (2023, May). Neural Networks for Local Search and Crossover in Vehicle Routing: A Possible Overkill? [Paper]. 20th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2023), Nice, France. External link
Soriano, A., Vidal, T., Gansterer, M., & Doerner, K. (2020). The vehicle routing problem with arrival time diversification on a multigraph. European Journal of Operational Research, 286(2), 564-575. External link
Silva, M. M., Subramanian, A., Vidal, T., & Ochi, L. S. (2012). A simple and effective metaheuristic for the Minimum Latency Problem. European Journal of Operational Research, 221(3), 513-520. External link
Uchoa, E., Pecin, D., Pessoa, A., Poggi, M., Vidal, T., & Subramanian, A. (2017). New benchmark instances for the Capacitated Vehicle Routing Problem. European Journal of Operational Research, 257(3), 845-858. External link
Vivier-Ardisson, G., Forel, A., Parmentier, A., & Vidal, T. (2024, July). CF-OPT: Counterfactual Explanations for Structured Prediction [Paper]. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria. External link
Vidal, T. (2022). Hybrid genetic search for the CVRP: Open-source implementation and SWAP* neighborhood. Computers & Operations Research, 140, 105643-105643. External link
Vidal, T., Martinelli, R., Anh Pham, T., & Hoàng Hà, M. (2021). Arc Routing with Time-Dependent Travel Times and Paths. Transportation Science, 55(3), 706-724. External link
Vidal, T., Pacheco, T., & Schiffer, M. (2020, July). Born-Again Tree Ensembles [Paper]. 37th International Conference on Machine Learning (ICML). Unavailable
Vidal, T., Laporte, G., & Matl, P. (2020). A concise guide to existing and emerging vehicle routing problem variants. European Journal of Operational Research, 286(2), 401-416. External link
Vidal, T., Gribel, D., & Jaillet, P. (2019). Separable Convex Optimization with Nested Lower and Upper Constraints. INFORMS Journal on Optimization, 1(1), 71-90. External link
Vidal, T. (2017). Node, Edge, Arc Routing and Turn Penalties: Multiple Problems—One Neighborhood Extension. Operations Research, 65(4), 992-1010. External link
Vidal, T., Jaillet, P., & Maculan, N. (2016). A Decomposition Algorithm for Nested Resource Allocation Problems. SIAM Journal on Optimization, 26(2), 1322-1340. External link
Vidal, T., Maculan, N., Satoru Ochi, L., & Huachi Vaz Penna, P. (2016). Large Neighborhoods with Implicit Customer Selection for Vehicle Routing Problems with Profits. Transportation Science, 50(2), 720-734. External link
Vidal, T. (2016). Technical note: Split algorithm in O(n) for the capacitated vehicle routing problem. Computers & Operations Research, 69, 40-47. External link
Vidal, T., Battarra, M., Subramanian, A., & Erdogˇan, G. (2015). Hybrid metaheuristics for the Clustered Vehicle Routing Problem. Computers & Operations Research, 58, 87-99. External link
Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2015). Time-window relaxations in vehicle routing heuristics. Journal of Heuristics, 21(3), 329-358. External link
Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2015). Timing problems and algorithms: Time decisions for sequences of activities. Networks, 65(2), 102-128. External link
Vidal, T. (2014). General solution approaches for multi-attribute vehicle routing and scheduling problems. 4OR, 12(1), 97-98. External link
Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2014). Implicit depot assignments and rotations in vehicle routing heuristics. European Journal of Operational Research, 237(1), 15-28. External link
Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2014). A unified solution framework for multi-attribute vehicle routing problems. European Journal of Operational Research, 234(3), 658-673. External link
Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2013). Time-window relaxations in vehicle routing heuristics. (Technical Report n° CIRRELT-2013-43). External link
Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2013). A unified solution framework for multi-attribute vehicle routing problems. (Technical Report n° CIRRELT-2013-22). External link
Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2013). Heuristics for multi-attribute vehicle routing problems: A survey and synthesis. European Journal of Operational Research, 231(1), 1-21. External link
Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2013). A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows. Computers & Operations Research, 40(1), 475-489. External link
Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2012). Implicit depot assignments and rotations in vehicle routing heuristics. (Technical Report n° CIRRELT-2012-60). External link
Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2012). A unifying view on timing problems and algorithms. (Technical Report n° CIRRELT-2012-59). External link
Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2012). A unified solution framework for multi-attribute vehicle routing problems. (Technical Report n° CIRRELT-2012-23). External link
Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2012). Heuristics for multi-attribute vehicle routing problems: A survey and synthesis. (Technical Report n° CIRRELT-2012-05). External link
Vidal, T., Crainic, T. G., Gendreau, M., Lahrichi, N., & Rei, W. (2012). A hybrid genetic algorithm for multidepot and periodic vehicle routing problems. Operations Research, 60(3), 611-624. External link
Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2011). A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time windows. (Technical Report n° CIRRELT-2011-61). External link
Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2011). A Unifying View on Timing Problems and Algorithms. (Technical Report n° CIRRELT-2011-43). External link
Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2011). Heuristiques pour les problèmes de tournées de véhicules multi-attributs. (Technical Report n° CIRRELT-2011-12). External link
Vidal, T., Crainic, T. G., Gendreau, M., Lahrichi, N., & Rei, W. (2011). A Hybrid Genetic Algorithm for Multi-Depot and Periodic Vehicle Routing Problems. (Technical Report n° CIRRELT-2011-05). External link
Vidal, T., Crainic, T. G., Gendreau, M., Lahrichi, N., & Rei, W. (2010). A hybrid genetic algorithm for multi-depot and periodic vehicle routing problems. (Technical Report n° CIRRELT-2010-34). External link
