521 citations · 598 across the 18 of their papers we have counts for
4 papers · 1 filter
A prediction-based approach for online dynamic patient scheduling: a case study in radiotherapy treatment
Tu-San Pham, Antoine Legrain, Patrick De Causmaecker +1
Patient scheduling is a difficult task involving stochastic factors such as the unknown arrival times of patients. Similarly, the scheduling of radiotherapy for cancer treatments n…
Predicting the probability distribution of bus travel time to move towards reliable planning of public transport services
Léa Ricard, Guy Desaulniers, Andrea Lodi +1
An important aspect of the quality of a public transport service is its reliability, which is defined as the invariability of the service attributes. Preventive measures taken duri…
SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning
Félix Chalumeau, Ilan Coulon, Quentin Cappart +1
The design of efficient and generic algorithms for solving combinatorial optimization problems has been an active field of research for many years. Standard exact solving approache…
Learning the Travelling Salesperson Problem Requires Rethinking Generalization
Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau +1
End-to-end training of neural network solvers for graph combinatorial optimization problems such as the Travelling Salesperson Problem (TSP) have seen a surge of interest recently,…