activity
20192026
most citedNew commodity representations for multicommodity network flow problems: An application to the fixed-charge network design problem

6 citations · 18 across the 10 of their papers we have counts for

collaborators

12 papers

math.OC2026

Dynamic Menu-Based Pricing for Electric Vehicle Charging with Vehicle-to-Grid Integration

Mozhdeh Hematiboroujeni, Pierre Le Bodic, Adel N. Toosi +1

The number of electric vehicles is rapidly increasing worldwide. This growth brings significant environmental benefits but also introduces new challenges: uncoordinated charging ca…

cs.DS2026

Optimal Unlabeled Pebble Motion on Trees and its Application to Multi-Agent Path Finding

Annalisa Calvi, Pierre Le Bodic, Samuel McGuire +1

Given a tree, a set of pebbles initially stationed at some nodes of the tree, and a set of target nodes, the Unlabeled Pebble Motion on Trees problem (UPMT) asks to find a plan to…

cs.MA2025

Flow-Based Task Assignment for Large-Scale Online Multi-Agent Pickup and Delivery

Yue Zhang, Zhe Chen, Daniel Harabor +2

We study the problem of online Multi-Agent Pickup and Delivery (MAPD), where a team of agents must repeatedly serve dynamically appearing tasks on a shared map. Existing online met…

cs.LG2025★ 1 cited

Interpretable Representation Learning for Additive Rule Ensembles

Shahrzad Behzadimanesh, Pierre Le Bodic, Geoffrey I. Webb +1

Small additive ensembles of symbolic rules offer interpretable prediction models. Traditionally, these ensembles use rule conditions based on conjunctions of simple threshold propo…

cs.LG2024★ 1 cited

Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles

Fan Yang, Pierre Le Bodic, Michael Kamp +1

Gradient boosting of prediction rules is an efficient approach to learn potentially interpretable yet accurate probabilistic models. However, actual interpretability requires to li…

math.OC2023

Probabilistic Lookahead Strong Branching via a Stochastic Abstract Branching Model

Gioni Mexi, Somayeh Shamsi, Mathieu Besançon +1

Strong Branching (SB) is a cornerstone of all modern branching rules used in the Branch-and-Bound (BnB) algorithm, which is at the center of Mixed-Integer Programming solvers. In i…