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cs.AI2025
Learning to Solve Resource-Constrained Project Scheduling Problems with Duration Uncertainty using Graph Neural Networks
Guillaume Infantes, Stéphanie Roussel, Antoine Jacquet +1
The Resource-Constrained Project Scheduling Problem (RCPSP) is a classical scheduling problem that has received significant attention due to of its numerous applications in industr…
cs.AI2024★ 1 cited
Earth Observation Satellite Scheduling with Graph Neural Networks and Monte Carlo Tree Search
Antoine Jacquet, Guillaume Infantes, Emmanuel Benazera +3
Earth Observation Satellite Planning (EOSP) is a difficult optimization problem with considerable practical interest. A set of requested observations must be scheduled on an agile…
cs.AI2024
Learning to Solve Job Shop Scheduling under Uncertainty
Guillaume Infantes, Stéphanie Roussel, Pierre Pereira +2
Job-Shop Scheduling Problem (JSSP) is a combinatorial optimization problem where tasks need to be scheduled on machines in order to minimize criteria such as makespan or delay. To…