Gaël Reynal

Étudiant (doctorat), GERAD

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Polytechnique Montréal

Formation

depuis jan. 2022

Doctorat Apprentissage par renforcement pour la génération de routes

Polytechnique Montréal – Département de mathématiques et de génie industriel, Quentin Cappart, co-directeur, Guy Desaulniers, co-directeur, Louis-Martin Rousseau, directeur

août 2020 – jan. 2021

Maîtrise

Polytechnique Montréal, Quentin Cappart, co-directeur, Guy Desaulniers, co-directeur, Louis-Martin Rousseau, directeur

Publications

oct. 2026

Improving column complementarity in a restricted master heuristic with a GRASP-guided completion: Application to the vehicle routing problem with stochastic demands

Gaël Reynal, Quentin Cappart, Guy Desaulniers et Louis-Martin Rousseau

Computers & Operations Research, 194, No article: 107569, 2026 référence BibTeX

oct. 2026

G-2026-51
Penalty function-based dual stabilization for column generation with graph neural networks: Application to the vehicle routing problem with stochastic demands

Gaël Reynal, Quentin Cappart, Guy Desaulniers et Louis-Martin Rousseau

Column generation is a widely used dual-guided approach to solve highly degenerate problems. During the resolution, the degeneracy of the master problem ofte...

référence BibTeX

juin 2026

A Hybrid Learning-Based Matheuristic to Solve the Vehicle Routing Problem with Stochastic Demands

Gaël Reynal, Quentin Cappart, Guy Desaulniers et Louis-Martin Rousseau

Integration of Constraint Programming, Artificial Intelligence, and Operations Research. CPAIOR 2026, Lecture Notes in Computer Science, vol 16595, Springer, Cham, 453–469, 2026 référence BibTeX

4 publications