A hybrid reinforcement learning plus genetic algorithm column generation method solves large integrated operating room planning and scheduling instances to average optimality gaps of 1.23-1.49 percent while handling overtime and availability constraints.
Solving integrated operating room planning and scheduling: Logic-based Benders decomposition versus Branch-Price-and-Cut
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A Reinforcement-learning-based Column Generation Algorithm for Integrated Operating Room Planning and Scheduling
A hybrid reinforcement learning plus genetic algorithm column generation method solves large integrated operating room planning and scheduling instances to average optimality gaps of 1.23-1.49 percent while handling overtime and availability constraints.