World's Best Scientists 2026 revealed!

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Computer Science

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33
Citations
6946
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12445
National Ranking
481

Mathematics

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32
Citations
6821
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3123
National Ranking
128

Overview

Thibaut Vidal is affiliated with Polytechnique Montréal in Canada, focusing research efforts primarily in engineering and computer science domains. Their work intersects various subfields including artificial intelligence, industrial and manufacturing engineering, automotive engineering, management science and operations research, and transportation.

The scientist's research extensively covers topics related to vehicle routing optimization methods, transportation and mobility innovations, transportation planning and optimization, optimization and packing problems, explainable artificial intelligence (XAI), risk and portfolio optimization, and machine learning and data classification.

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • INFORMS journal on computing
  • Transportation Science
  • European Journal of Operational Research
  • Computers & Operations Research

Recent published papers authored or co-authored by Thibaut Vidal comprise:

  • "Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood," 2020, arXiv (Cornell University)
  • "A survey of contextual optimization methods for decision-making under uncertainty," 2024, European Journal of Operational Research
  • "The vehicle routing problem with arrival time diversification on a multigraph," 2020, European Journal of Operational Research
  • "Decomposition Strategies for Vehicle Routing Heuristics," 2023, INFORMS journal on computing
  • "Born-Again Tree Ensembles," 2020, arXiv (Cornell University)

Thibaut Vidal has collaborated frequently with several researchers, notable co-authors include:

  • Axel Parmentier
  • Maximilian Schiffer
  • Alexandre Forel
  • Breno Serrano
  • Louis Bouvier

Their research outputs contribute to advancing methodologies in vehicle routing and transportation optimization, as well as exploring applications of machine learning and explainability within operational research contexts.

Best Publications

  • A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems

    Thibaut Vidal;Teodor Gabriel Crainic;Michel Gendreau;Nadia Lahrichi

  • A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows

    Thibaut Vidal;Teodor Gabriel Crainic;Michel Gendreau;Christian Prins

  • Heuristics for multi-attribute vehicle routing problems: A survey and synthesis

    Thibaut Vidal;Thibaut Vidal;Teodor Gabriel Crainic;Michel Gendreau;Christian Prins

  • New benchmark instances for the capacitated vehicle routing problem

    Eduardo Uchoa;Diego Pecin;Artur Alves Pessoa;Marcus Poggi

  • A unified solution framework for multi-attribute vehicle routing problems ☆

    Thibaut Vidal;Teodor Gabriel Crainic;Michel Gendreau;Christian Prins

  • A concise guide to existing and emerging vehicle routing problem variants

    Thibaut Vidal;Gilbert Laporte;Piotr Matl

  • A memetic algorithm for the Multi Trip Vehicle Routing Problem

    Diego Cattaruzza;Nabil Absi;Dominique Feillet;Thibaut Vidal;Thibaut Vidal

  • Routing a mix of conventional, plug-in hybrid, and electric vehicles

    Gerhard Hiermann;Richard F. Hartl;Jakob Puchinger;Thibaut Vidal

  • A matheuristic approach for the Pollution-Routing Problem

    Raphael Kramer;Anand Subramanian;Thibaut Vidal;Lucídio dos Anjos Formiga Cabral

  • The electric two-echelon vehicle routing problem

    Ulrich Breunig;Roberto Baldacci;Richard F. Hartl;Thibaut Vidal

  • A large neighbourhood based heuristic for two-echelon routing problems

    U. Breunig;V. Schmid;R.F. Hartl;T. Vidal

  • A simple and effective metaheuristic for the Minimum Latency Problem

    Marcos Melo Silva;Anand Subramanian;Anand Subramanian;Thibaut Vidal;Thibaut Vidal;Luiz Satoru Ochi

  • Hybrid genetic search for the CVRP: Open-source implementation and SWAP* neighborhood

    Thibaut Vidal;Thibaut Vidal

  • Workload Equity in Vehicle Routing Problems: A Survey and Analysis

    Piotr Matl;Richard F. Hartl;Thibaut Vidal

  • Chapter 4: Heuristics for the Vehicle Routing Problem

    Gilbert Laporte;Stefan Ropke;Thibaut Vidal

  • Hours of service regulations in road freight transport: an optimization-based international assessment

    Asvin Goel;Thibaut Vidal

  • A hybrid genetic algorithm with decomposition phases for the Unequal Area Facility Layout Problem

    Frederico Galaxe Paes;Artur Alves Pessoa;Thibaut Vidal

  • Hybrid metaheuristics for the Clustered Vehicle Routing Problem

    Thibaut Vidal;Maria Battarra;Anand Subramanian;Güneş Erdogan

  • A speed and departure time optimization algorithm for the pollution-routing problem

    Raphael Kramer;Nelson Maculan;Anand Subramanian;Thibaut Vidal

  • Large Neighborhoods with Implicit Customer Selection for Vehicle Routing Problems with Profits

    Thibaut Vidal;Nelson Maculan;Luiz Satoru Ochi;Puca Huachi Vaz Penna

Frequent Co-Authors

Richard F. Hartl
Richard F. Hartl University of Vienna
Michel Gendreau
Michel Gendreau Polytechnique Montréal
Christian Prins
Christian Prins University of Technology of Troyes
Gilbert Laporte
Gilbert Laporte HEC Montréal
Jacques Desrosiers
Jacques Desrosiers HEC Montréal
Eduardo Uchoa
Eduardo Uchoa Fluminense Federal University
Guy Desaulniers
Guy Desaulniers Polytechnique Montréal
Kjetil Fagerholt
Kjetil Fagerholt Norwegian University of Science and Technology
Manuel Iori
Manuel Iori University of Modena and Reggio Emilia

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