8 citations · 31 across the 20 of their papers we have counts for
4 papers · 1 filter
Learning structured approximations of combinatorial optimization problems
Axel Parmentier
Machine learning pipelines that include a combinatorial optimization layer can give surprisingly efficient heuristics for difficult combinatorial optimization problems. Three quest…
Optimal Counterfactual Explanations in Tree Ensembles
Axel Parmentier, Thibaut Vidal
Counterfactual explanations are usually generated through heuristics that are sensitive to the search's initial conditions. The absence of guarantees of performance and robustness…
Electric Vehicle Fleets: Scalable Route and Recharge Scheduling through Column Generation
Axel Parmentier, Rafael Martinelli, Thibaut Vidal
The rise of battery-powered vehicles has led to many new technical and methodological hurdles. Among these, the efficient planning of an electric fleet to fulfill passenger transpo…
Learning to solve the single machine scheduling problem with release times and sum of completion times
Axel Parmentier, Vincent T'Kindt
In this paper, we focus on the solution of a hard single machine scheduling problem by new heuristic algorithms embedding techniques from machine learning field and scheduling theo…