Roland, M., Forel, A. R. G., & Vidal, T. (2025). Adaptive Partitioning for Chance-Constrained Problems with Finite Support. SIAM Journal on Optimization, 35(1), 476-505.
Directory of Experts
Vidal, Thibaut

Directory of Experts
Vidal, Thibaut
Directory of Experts
Publications by type
Journal article (71)
Conference paper (16)
Book
Book chapter (1)
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Report (9)
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Thibaut Vidal (99)
- Journal articles (71)
- 2025
Journal article Journal article Jungel, K., Parmentier, A., Schiffer, M., & Vidal, T. (2025). Code and Data Repository for Learning-Based Online Optimization for Autonomous Mobility-on-Demand Fleet Control. INFORMS journal on computing, 21 pages.Journal article Bazotte Corgozinho, M. C., Carvalho, M., & Vidal, T. (2025). Code and Data Repository for Solving Two-Stage Stochastic Programs with Endogenous Uncertainty via Random Variable Transformation. INFORMS journal on computing.Journal article Emine, Y., Forel, A. R. G., Malek, I., & Vidal, T. (2025). Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles. Proceedings of the AAAI Conference on Artificial Intelligence, 39(16), 16488-16495.Journal article Jungel, K., Parmentier, A., Schiffer, M., & Vidal, T. (2025). Learning-Based Online Optimization for Autonomous Mobility-on-Demand Fleet Control. INFORMS journal on computing.Journal article Santana, Í., Serrano, B., Schiffer, M., & Vidal, T. (2025). Support vector machines with the hard-margin loss: optimal training via combinatorial Benders' cuts. Journal of Global Optimization, 21 pages.Journal article Nekooghadirli, N., Gendreau, M., Potvin, J.-Y., & Vidal, T. (2025). Workload equity in multiperiod vehicle routing problems. International Transactions in Operational Research.
- 2024
Journal article 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.Journal article 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.Journal article Serrano, B., & Vidal, T. (2024). Community detection in the stochastic block model by mixed integer programming. Pattern Recognition, 152, 110487 (12 pages).Journal article Ferreira, V., Pessoa, A., & Vidal, T. (2024). Influence optimization in networks: New formulations and valid inequalities. Computers & Operations Research, 106857 (14 pages).Journal article Sampaio, R. A., Dias Garcia, J., Poggi, M., & Vidal, T. (2024). Regularization and optimization in model-based clustering. Pattern Recognition, 150, 110310 (14 pages).Journal article 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.
- 2023
Journal article Santini, A., Schneider, M., Vidal, T., & Vigo, D. (2023). Decomposition Strategies for Vehicle Routing Heuristics. INFORMS Journal on Computing, 35(3), 543-559.Journal article Parmentier, A., Martinelli, R., & Vidal, T. (2023). Electric Vehicle Fleets: Scalable Route and Recharge Scheduling Through Column Generation. Transportation Science, 57(3), 631-646.Journal article 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.Journal article 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.Journal article Bouvier, L., Dalle, G., Parmentier, A., & Vidal, T. (2023). Solving a Continent-Scale Inventory Routing Problem at Renault. Transportation Science, 22 pages.
- 2022
Journal article Vidal, T. (2022). Hybrid genetic search for the CVRP: Open-source implementation and SWAP* neighborhood. Computers & Operations Research, 140, 105643-105643.Journal article Gribel, D., Gendreau, M., & Vidal, T. (2022). Semi-supervised clustering with inaccurate pairwise annotations. Information Sciences, 607, 441-457.Journal article Florio, A. M., Feillet, D., Poggi, M., & Vidal, T. (2022). Vehicle Routing with Stochastic Demands and Partial Reoptimization. Transportation Science, 1393-1408.
- 2021
Journal article 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.Journal article 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.Journal article 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.
- 2020
Journal article 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.Journal article 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.Journal article 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.Journal article 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.Journal article 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.
- 2019
Journal article 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.Journal article 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.Journal article Gribel, D., & Vidal, T. (2019). HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering. Pattern Recognition, 88, 569-583.Journal article 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.Journal article 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.Journal article 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.Journal article Vidal, T., Gribel, D., & Jaillet, P. (2019). Separable Convex Optimization with Nested Lower and Upper Constraints. INFORMS Journal on Optimization, 1(1), 71-90.Journal article Breunig, U., Baldacci, R., Hartl, R. F., & Vidal, T. (2019). The electric two-echelon vehicle routing problem. Computers & Operations Research, 103, 198-210.Journal article Herszterg, I., Poggi, M., & Vidal, T. (2019). Two-Dimensional Phase Unwrapping via Balanced Spanning Forests. INFORMS Journal on Computing, 31(3), 527-543.Journal article 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.
- 2018
Journal article 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.Journal article Albuquerque, M., & Vidal, T. (2018). An efficient matheuristic for the minimum-weight dominating set problem. Applied Soft Computing, 72, 527-538.Journal article 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.Journal article 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.Journal article 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.Journal article 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.Journal article Matl, P., Hartl, R. F., & Vidal, T. (2018). Workload Equity in Vehicle Routing Problems: A Survey and Analysis. Transportation Science, 52(2), 239-260.
- 2017
Journal article 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.Journal article 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.Journal article Vidal, T. (2017). Node, Edge, Arc Routing and Turn Penalties: Multiple Problems—One Neighborhood Extension. Operations Research, 65(4), 992-1010.
- 2016
Journal article Vidal, T., Jaillet, P., & Maculan, N. (2016). A Decomposition Algorithm for Nested Resource Allocation Problems. SIAM Journal on Optimization, 26(2), 1322-1340.Journal article 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.Journal article 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.Journal article Vidal, T. (2016). Technical note: Split algorithm in O(n) for the capacitated vehicle routing problem. Computers & Operations Research, 69, 40-47.
- 2015
Journal article 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.Journal article 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.Journal article 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.Journal article Vidal, T., Battarra, M., Subramanian, A., & Erdogˇan, G. (2015). Hybrid metaheuristics for the Clustered Vehicle Routing Problem. Computers & Operations Research, 58, 87-99.Journal article 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.Journal article Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2015). Time-window relaxations in vehicle routing heuristics. Journal of Heuristics, 21(3), 329-358.Journal article 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.
- 2014
Journal article 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.Journal article 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.Journal article 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.Journal article Vidal, T. (2014). General solution approaches for multi-attribute vehicle routing and scheduling problems. 4OR, 12(1), 97-98.Journal article Goel, A., & Vidal, T. (2014). Hours of Service Regulations in Road Freight Transport: An Optimization-Based International Assessment. Transportation Science, 48(3), 391-412.Journal article 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.
- 2013
Journal article 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.Journal article 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.Journal article 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.
- 2012
Journal article 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.Journal article 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.
- 2025
- Conference papers (16)
- 2024
Conference paper 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.Conference paper 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.Conference paper 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.Conference paper 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.
- 2023
Conference paper 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).Conference paper Santana, Í., 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.Conference paper 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.
- 2022
Conference paper Ferraz, A., Cappart, Q., & Vidal, T. (2022, June). Deep-Learning for Data-Driven Districting and Routing [Paper]. 11th Triennial Symposium on Transportation Analysis conference (TRISTAN XI), Mauritius Island.Conference paper Jungel, K., Parmentier, A., Schiffer, M., & Vidal, T. (2022, June). Structured-Learning-Based Fleet Control for Autonomous Mobility-on-Demand Systems [Paper]. 11th Triennial Symposium on Transportation Analysis conference (TRISTAN XI), Mauritius Island (4 pages).Conference paper 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).
- 2021
Conference paper Gribel, D., Vidal, T., & Gendreau, M. (2021, January). Assortative-constrained stochastic block models [Paper]. 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy.Conference paper Parmentier, A., & Vidal, T. (2021, July). Optimal counterfactual explanations in tree ensembles [Paper]. 38th International Conference on Machine Learning (ICML 2021).
- 2020
Conference paper Vidal, T., Pacheco, T., & Schiffer, M. (2020, July). Born-Again Tree Ensembles [Paper]. 37th International Conference on Machine Learning (ICML).
- 2009
Conference paper Crainic, T. G., Crişan, 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.Conference paper 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.Conference paper Crainic, T. G., Crişan, 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).
- 2024
- Book chapters (1)
- 2014
Book chapter Laporte, G., Ropke, S., & Vidal, T. (2014). Heuristics for the Vehicle Routing Problem. In Vehicle Routing (pp. 87-116).
- 2014
- Reports (9)
- 2023
Report Sadana, U., Chenreddy, A., Delage, E., Forel, A. R. G., Frejinger, E., & Vidal, T. (2023). A survey of contextual optimization methods for decision making under uncertainty. (Technical Report n° G-2023-22).Report 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).
- 2022
Report Nekooghadirli, N., Gendreau, M., Potvin, J.-Y., & Vidal, T. (2022). Workload equity in multi-period vehicle routing problems. (Technical Report n° CIRRELT-2022-22).
- 2013
Report 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).Report Ribeiro, G. M., Desaulniers, G., Desrosiers, J., Vidal, T., & Vieira, B. S. (2013). Efficient Heuristics for the Workover Rig Routing Problem with a Heterogeneous Fleet and a Finite Horizon. (Technical Report n° G-2013-47).Report Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2013). Time-window relaxations in vehicle routing heuristics. (Technical Report n° CIRRELT-2013-43).
- 2012
Report 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).Report 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).Report Goel, A., & Vidal, T. (2012). Hours of service regulations in road freight transport: An optimization-based international assessment. (Technical Report n° CIRRELT-2012-08).
- 2023
- Datasets (2)
- 2023
Dataset Bouvier, L., Dalle, G., Parmentier, A., & Vidal, T. (2023). Continent-scale inventory routing instances [Dataset].Dataset Bouvier, L., Dalle, G., Parmentier, A., & Vidal, T. (2023). Continent-scale inventory routing solutions [Dataset].
- 2023