<  Back to the Polytechnique Montréal portal

Items where Author is "Vidal, Thibaut"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Jump to: A | B | C | E | F | G | H | K | L | M | N | P | Q | R | S | U | V
Number of items: 89.

A

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

B

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

C

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

E

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

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. 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

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. (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

H

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

K

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

L

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 (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

M

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

N

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

P

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

Q

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

R

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

S

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

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

U

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

V

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

List generated on: Fri Jun 21 17:24:53 2024 EDT