activity
20242026
collaborators

5 papers

cs.NI2026

On the Multi-Commodity Flow with convex objective function: Column-Generation approaches

Guillaume Beraud-Sudreau, Lucas Létocart, Youcef Magnouche +1

The purpose of this work is to develop an algorithmic optimization approach for a capacitated Multi-Commodity flow problem, where the objective is to minimize the total link costs,…

cs.DM2026

On the Virtual Network Embedding polytope

Amal Benhamiche, Pierre Fouilhoux, Lucas Létocart +2

We initiate the polyhedral study of the Virtual Network Embedding (VNE) problem, which arises in modern telecommunication networks. We propose new valid inequalities for the so-cal…

cs.DM2025

A decomposition approach for large virtual network embedding

Amal Benhamiche, Pierre Fouilhoux, Lucas Létocart +2

Virtual Network Embedding (VNE) is the core combinatorial problem of Network Slicing, a 5G technology which enables telecommunication operators to propose diverse service-dedicated…

cs.DM2025

Complexity of the Virtual Network Embedding with uniform demands

Amal Benhamiche, Pierre Fouilhoux, Lucas Létocart +2

We study the complexity of the Virtual Network Embedding Problem (VNE), which is the combinatorial core of several telecommunication problems related to the implementation of virtu…

cs.DM2024

A generic Branch-and-Cut algorithm for bi-objective binary linear programs

Pierre Fouilhoux, Lucas Létocart, Yue Zhang

This paper presents the first generic bi-objective binary linear branch-and-cut algorithm. Studying the impact of valid inequalities in solution and objective spaces, two cutting f…