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.
A dedicated branch-price-and-cut algorithm for advance patient planning and surgeon scheduling
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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.