Solving the Integrated Patient-to-Room and Nurse-to-Patient Assignment by Simulated Annealing

We consider a recently-proposed integrated healthcare problem that deals with the assignment of patients to suitable rooms in wards (Patient-to-Room) and the assignment of nurses to patients to balance their workload (Nurse-to-Patient), in one single stage. For this problem, we designed a local search approach that uses the union of two distinct neighborhoods and is guided by a Simulated Annealing metaheuristic. We tuned our search method, ran it on the available dataset, and validated it using the available solution checker. Finally, we report our results for different running times, to show how the scores evolve based on the granted time.