Published in preprint, 2024
This preprint is about structured learning for combinatorial multistage stochastic optimization.
Recommended citation: Toni Greif, Louis Bouvier, Christoph M. Flath, Axel Parmentier, Sonja U. K. Rohmer, Thibaut Vidal, "Combinatorial Optimization and Machine Learning for Dynamic Inventory Routing" https://arxiv.org/abs/2402.04463
Published in Transportation Science, 2023
This paper is the fruit of a partnership with Renault.
Recommended citation: Louis Bouvier, Guillaume Dalle, Axel Parmentier, Thibaut Vidal, "Solving a Continent-Scale Inventory Routing Problem at Renault" https://pubsonline.informs.org/doi/10.1287/trsc.2022.0342
Published in preprint, 2022
This paper introduces a Julia library of Machine Learning for Operations Research, as well as a new probabilistic approach.
Recommended citation: Guillaume Dalle, Léo Baty, Louis Bouvier, Axel Parmentier, "Learning with Combinatorial Optimization Layers: a Probabilistic Approach" https://arxiv.org/pdf/2207.13513.pdf