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Thibaut Vidal
Ph.D., M.Sc.

Phone: 3864 Fax: (514) 340-4086 Room: A-305.1
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Research interests and affiliations

Research interests
  • Combinatorial optimization
  • Heuristic search
  • Interpretable machine learning
  • Supply chain management
  • Transportation logistics
Expertise type(s) (NSERC subjects)
  • 1601 Operations research and management science
  • 1603 Logistics
  • 2713 Algorithms
  • 2715 Optimization
  • 2800 ARTIFICIAL INTELLIGENCE (Computer Vision, use 2603)
  • 2960 Mathematical modelling


Recent publications
Journal article
Vidal, T. (2022). Hybrid genetic search for the CVRP: Open-source implementation and SWAP* neighborhood. Computers & Operations Research, 140, 105643. Retrieved from
Journal article
Florio, A.M., Gendreau, M., Hartl, R.F., Minner, S. & Vidal, T. (2022). Recent advances in vehicle routing with stochastic demands: Bayesian learning for correlated demands and elementary branch-price-and-cut. European Journal of Operational Research, 13 pages. Retrieved from
Journal article
Gribel, D., Gendreau, M. & Vidal, T. (2022). Semi-supervised clustering with inaccurate pairwise annotations. Information Sciences, 607, 441-457. Retrieved from
Journal article
Florio, A.M., Feillet, D., Poggi, M. & Vidal, T. (2022). Vehicle Routing with Stochastic Demands and Partial Reoptimization. Transportation Science, 0(0). Retrieved from


Thibaut Vidal holds the SCALE-AI Chair in Data-Driven Supply Chains and is professor at the Department of Mathematics and Industrial Engineering (MAGI) of Polytechnique Montréal, Canada. He is also a member of CIRRELT and an adjunct professor at the Pontifical Catholic University of Rio de Janeiro, Brazil. His main domains of expertise relate to combinatorial optimization, heuristic search and interpretable machine learning, with applications to logistics and supply chain management, production management, resource allocation and information processing. He is the author of over fifty articles in reputed international journals and conferences such as ICML, Operations Research, Transportation Science, SIAM Journal on Optimization, Pattern Recognition and INFORMS Journal on Computing, among many others. His work has been recognized by various prizes in different scientific societies. In particular, he twice received the best paper award from the Transportation Science and Logistics (TSL) section of INFORMS, and received the Robert Faure prize from the French operations research society, as well as other best paper and doctoral dissertation awards from EJOR, ROADEF, VeRoLog and PGMO. He serves as associate editor for the journal Transportation Science.


  • Ph.D. : Montreal University & Technical University of Troyes
  • M.Sc. : Joseph Fourier University & ENSIMAG, Grenoble, France

Supervision at Polytechnique


  • Master's Thesis (1)

    • Nekooghadirli, N. (2022). Workload Equity in Vehicle Routing Problems Over Multiple Periods (Master's Thesis, Polytechnique Montréal). Retrieved from

News about Thibaut Vidal

NEWS | June 16, 2021
Transport logistics: a new SCALE AI Chair at Polytechnique | Read

Press review about Thibaut Vidal

February 24, 2023, Québec Science, Pour une industrie intelligente À l'occasion de son 150e anniversaire, Polytechnique Montréal vous invite à découvrir ses huit différents pôles de recherche. Rencontre avec Thibaut Vidal, professeur au Département de mathématiques et de génie industriel, qui revient sur la place de l'intelligence artificielle et ses applications pour l'usine du futur. 
December 15, 2021, Direction informatique, Trois nouvelles chaires de recherche Scale AI en IA à Montréal Polytechnique Montréal, HEC Montréal, l'Université McGill et l'Université de Toronto ont obtenu des chaires de recherche Scale AI liées à des applications des connaissances en intelligence artificielle. Polytechnique Montréal accueille désormais une chaire de recherche sur le rôle des données dans les chaînes d'approvisionnement, dont le titulaire est Thibaut Vidal, professeur agrégé au Département de mathématiques et de génie industriel.
June 16, 2021, Direction informatique, Scale AI lance trois nouvelles chaires de recherche La supergrappe en intelligence artificielle (IA) Scale AI créé trois nouvelles chaires de recherche en IA, dont une sur les chaînes d'approvisionnement pilotées par les données confiée à Thibaut Vidal, professeur agrégé au Département de mathématiques et de génie industriel de Polytechnique Montréal.