Documents dont l'auteur est "Vidal, Thibaut"

Thibaut VidalDépartement de mathématiques et de génie industrielVoir sa fiche dans le Répertoire des Expertises de 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. Lien externe

Albuquerque, M., & Vidal, T. (2018). An efficient matheuristic for the minimum-weight dominating set problem. Applied Soft Computing, 72, 527-538. Lien externe

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Bouvier, L., Dalle, G., Parmentier, A., & Vidal, T. (2023). Continent-scale inventory routing instances [Ensemble de données]. Lien externe

Bouvier, L., Dalle, G., Parmentier, A., & Vidal, T. (2023). Continent-scale inventory routing solutions [Ensemble de données]. 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

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. Lien externe

Breunig, U., Baldacci, R., Hartl, R. F., & Vidal, T. (2019). The electric two-echelon vehicle routing problem. Computers & Operations Research, 103, 198-210. Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

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Contardo, C., Fukasawa, R., Rousseau, L.-M., & Vidal, T. (mai 2024). Optimal Counterfactual Explanations for k-Nearest Neighbors Using Mathematical Optimization and Constraint Programming [Communication écrite]. 8th International Symposium on Combinatorial Optimization (ISCO 2024), La Laguna, Tenerife, Spain. Lien externe

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. Lien externe

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. Lien externe

Crainic, T. G., Crisan, G. C., Gendreau, M., Lahrichi, N., Rei, W., & Vidal, T. (juillet 2009). A concurrent evolutionary approach for rich combinatorial problems [Communication écrite]. Genetic and Evolutionary Computation Conference (GECC 2009), Montréal, Québec. Lien externe

Crainic, T. G., Crisan, G. C., Gendreau, M., Lahrichi, N., Rei, W., & Vidal, T. (juillet 2009). Integrative cooperative meta-heuristics for rich combinatorial problems [Communication écrite]. VIII Metaheuristic International Conference (MIC 2009), Hambourg, Allemagne. Non disponible

Crainic, T. G., Crisan, G. C., Gendreau, M., Lahrichi, N., Rei, W., & Vidal, T. (mai 2009). Multi-thread cooperative optimization for rich combinatorial problems [Communication écrite]. 23rd IEEE international Parallel & Distributed Processing Symposium (IPDPS 2009), Rome, Italy (8 pages). Lien externe

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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. Lien externe

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. (Rapport technique n° CIRRELT-2014-40). Lien externe

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Forel, A., Parmentier, A., & Vidal, T. (mai 2024). Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles [Communication écrite]. 21st International Conference on Integration of Constraint Programming, Artificial Intelligence and Operations Research (CPAIOR 2024), Uppsala, Sweden. Lien externe

Ferry, J., Fukasawa, R., Pascal, T., & Vidal, T. (juillet 2024). Trained Random Forests Completely Reveal your Dataset [Communication écrite]. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria. 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

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

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

Florio, A. M., Feillet, D., Poggi, M., & Vidal, T. (2022). Vehicle Routing with Stochastic Demands and Partial Reoptimization. Transportation Science, 1393-1408. Lien externe

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. Lien externe

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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

Gribel, D., Gendreau, M., & Vidal, T. (2022). Semi-supervised clustering with inaccurate pairwise annotations. Information Sciences, 607, 441-457. Lien externe

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. Disponible

Gribel, D., Vidal, T., & Gendreau, M. (janvier 2021). Assortative-constrained stochastic block models [Communication écrite]. 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy. Lien externe

Gribel, D., & Vidal, T. (2019). HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering. Pattern Recognition, 88, 569-583. Lien externe

Goel, A., & Vidal, T. (2014). Hours of Service Regulations in Road Freight Transport: An Optimization-Based International Assessment. Transportation Science, 48(3), 391-412. Lien externe

Goel, A., & Vidal, T. (2012). Hours of service regulations in road freight transport: An optimization-based international assessment. (Rapport technique n° CIRRELT-2012-08). Lien externe

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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. Lien externe

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. Lien externe

Herszterg, I., Poggi, M., & Vidal, T. (2019). Two-Dimensional Phase Unwrapping via Balanced Spanning Forests. INFORMS Journal on Computing, 31(3), 527-543. Lien externe

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. Lien externe

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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

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. Lien externe

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. Lien externe

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. Lien externe

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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. Lien externe

Laporte, G., Ropke, S., & Vidal, T. (2014). Heuristics for the Vehicle Routing Problem. Dans Vehicle Routing (p. 87-116). Lien externe

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. (Rapport technique n° CIRRELT-2012-42). Lien externe

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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. Lien externe

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. Lien externe

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. Lien externe

Matl, P., Hartl, R. F., & Vidal, T. (2018). Workload Equity in Vehicle Routing Problems: A Survey and Analysis. Transportation Science, 52(2), 239-260. Lien externe

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. Lien externe

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. (Rapport technique n° CIRRELT-2012-70). Lien externe

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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

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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

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., & Vidal, T. (juillet 2021). Optimal counterfactual explanations in tree ensembles [Communication écrite]. 38th International Conference on Machine Learning (ICML 2021). Lien externe

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. Lien externe

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. Lien externe

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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. Lien externe

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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. Lien externe

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Serrano, B., & Vidal, T. (2024). Community detection in the stochastic block model by mixed integer programming. Pattern Recognition, 152, 110487 (12 pages). Disponible

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. Disponible

Sampaio, R. A., Dias Garcia, J., Poggi, M., & Vidal, T. (2024). Regularization and optimization in model-based clustering. Pattern Recognition, 150, 110310 (14 pages). Lien externe

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. 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

Santana, I., Lodi, A., & Vidal, T. (mai 2023). Neural Networks for Local Search and Crossover in Vehicle Routing: A Possible Overkill? [Communication écrite]. 20th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2023), Nice, France. Lien externe

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. Lien externe

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. Lien externe

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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. Lien externe

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Vivier-Ardisson, G., Forel, A., Parmentier, A., & Vidal, T. (juillet 2024). CF-OPT: Counterfactual Explanations for Structured Prediction [Communication écrite]. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria. 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

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. Lien externe

Vidal, T., Pacheco, T., & Schiffer, M. (juillet 2020). Born-Again Tree Ensembles [Communication écrite]. 37th International Conference on Machine Learning (ICML). Non disponible

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. Lien externe

Vidal, T., Gribel, D., & Jaillet, P. (2019). Separable Convex Optimization with Nested Lower and Upper Constraints. INFORMS Journal on Optimization, 1(1), 71-90. Lien externe

Vidal, T. (2017). Node, Edge, Arc Routing and Turn Penalties: Multiple Problems—One Neighborhood Extension. Operations Research, 65(4), 992-1010. Lien externe

Vidal, T., Jaillet, P., & Maculan, N. (2016). A Decomposition Algorithm for Nested Resource Allocation Problems. SIAM Journal on Optimization, 26(2), 1322-1340. Lien externe

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. Lien externe

Vidal, T. (2016). Technical note: Split algorithm in O(n) for the capacitated vehicle routing problem. Computers & Operations Research, 69, 40-47. Lien externe

Vidal, T., Battarra, M., Subramanian, A., & Erdogˇan, G. (2015). Hybrid metaheuristics for the Clustered Vehicle Routing Problem. Computers & Operations Research, 58, 87-99. Lien externe

Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2015). Time-window relaxations in vehicle routing heuristics. Journal of Heuristics, 21(3), 329-358. Lien externe

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. Lien externe

Vidal, T. (2014). General solution approaches for multi-attribute vehicle routing and scheduling problems. 4OR, 12(1), 97-98. Lien externe

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. Lien externe

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. Lien externe

Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2013). Time-window relaxations in vehicle routing heuristics. (Rapport technique n° CIRRELT-2013-43). Lien externe

Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2013). A unified solution framework for multi-attribute vehicle routing problems. (Rapport technique n° CIRRELT-2013-22). Lien externe

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. Lien externe

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. Lien externe

Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2012). Implicit depot assignments and rotations in vehicle routing heuristics. (Rapport technique n° CIRRELT-2012-60). Lien externe

Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2012). A unifying view on timing problems and algorithms. (Rapport technique n° CIRRELT-2012-59). Lien externe

Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2012). A unified solution framework for multi-attribute vehicle routing problems. (Rapport technique n° CIRRELT-2012-23). Lien externe

Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2012). Heuristics for multi-attribute vehicle routing problems: A survey and synthesis. (Rapport technique n° CIRRELT-2012-05). Lien externe

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. Lien externe

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. (Rapport technique n° CIRRELT-2011-61). Lien externe

Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2011). A Unifying View on Timing Problems and Algorithms. (Rapport technique n° CIRRELT-2011-43). Lien externe

Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2011). Heuristiques pour les problèmes de tournées de véhicules multi-attributs. (Rapport technique n° CIRRELT-2011-12). Lien externe

Vidal, T., Crainic, T. G., Gendreau, M., Lahrichi, N., & Rei, W. (2011). A Hybrid Genetic Algorithm for Multi-Depot and Periodic Vehicle Routing Problems. (Rapport technique n° CIRRELT-2011-05). Lien externe

Vidal, T., Crainic, T. G., Gendreau, M., Lahrichi, N., & Rei, W. (2010). A hybrid genetic algorithm for multi-depot and periodic vehicle routing problems. (Rapport technique n° CIRRELT-2010-34). Lien externe