18 citations · 19 across the 6 of their papers we have counts for
7 papers
Progressive hedging for multi-stage stochastic lot sizing problems with setup carry-over under uncertain demand
Manuel Schlenkrich, Jean-François Cordeau, Sophie N. Parragh
We investigate multi-stage demand uncertainty for the multi-item multi-echelon capacitated lot sizing problem with setup carry-over. Considering a multi-stage decision framework he…
Supervised Large Neighbourhood Search for MIPs
Charly Robinson La Rocca, Jean-François Cordeau, Emma Frejinger
Large Neighbourhood Search (LNS) is a powerful heuristic framework for solving Mixed-Integer Programming (MIP) problems. However, designing effective variable selection strategies…
Combining supervised learning and local search for the multicommodity capacitated fixed-charge network design problem
Charly Robinson La Rocca, Jean-François Cordeau, Emma Frejinger
The multicommodity capacitated fixed-charge network design problem has been extensively studied in the literature due to its wide range of applications. Despite the fact that many…
Pseudo-random Instance Generators in C++ for Deterministic and Stochastic Multi-commodity Network Design Problems
Eric Larsen, Serge Bisaillon, Jean-François Cordeau +1
Network design problems constitute an important family of combinatorial optimization problems for which numerous exact and heuristic algorithms have been developed over the last fe…
AILS-II: An Adaptive Iterated Local Search Heuristic for the Large-scale Capacitated Vehicle Routing Problem
Vinícius R. Máximo, Jean-François Cordeau, Mariá C. V. Nascimento
A recent study on the classical Capacitated Vehicle Routing Problem (CVRP) introduced an adaptive version of the widely used Iterated Local Search (ILS) paradigm, hybridized with a…
Minimizing Entropy to Discover Good Solutions to Recurrent Mixed Integer Programs
Charly Robinson La Rocca, Emma Frejinger, Jean-François Cordeau
Current state-of-the-art solvers for mixed-integer programming (MIP) problems are designed to perform well on a wide range of problems. However, for many real-world use cases, prob…
An Adaptive Iterated Local Search Heuristic for the Heterogeneous Fleet Vehicle Routing Problem
Vinícius R. Máximo, Jean-François Cordeau, Mariá C. V. Nascimento
The Heterogeneous Fleet Vehicle Routing Problem (HFVRP) is an important variant of the classical Capacitated Vehicle Routing Problem (CVRP) that aims to find routes that minimize t…