152 citations · 308 across the 30 of their papers we have counts for
5 papers · 1 filter
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…
Maximum entropy GFlowNets with soft Q-learning
Sobhan Mohammadpour, Emmanuel Bengio, Emma Frejinger +1
Generative Flow Networks (GFNs) have emerged as a powerful tool for sampling discrete objects from unnormalized distributions, offering a scalable alternative to Markov Chain Monte…
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
Utsav Sadana, Abhilash Chenreddy, Erick Delage +3
Recently there has been a surge of interest in operations research (OR) and the machine learning (ML) community in combining prediction algorithms and optimization techniques to so…
Scope Restriction for Scalable Real-Time Railway Rescheduling: An Exploratory Study
Erik Nygren, Christian Eichenberger, Emma Frejinger
With the aim to stimulate future research, we describe an exploratory study of a railway rescheduling problem. A widely used approach in practice and state of the art is to decompo…
A Logistics Provider's Profit Maximization Facility Location Problem with Random Utility Maximizing Followers
David Pinzon, Emma Frejinger, Bernard Gendron
We introduce a strategic decision-making problem faced by logistics providers (LPs) seeking facility location decisions that lead to profitable operations. The profitability depend…