A room-oriented artificial bee colony algorithm for optimizing the patient admission scheduling problem

• Published in: Computers in biology and medicine Vol. 148; p. 105850
• Main Authors: Bolaji, Asaju La’aro, Bamigbola, Akeem Femi, Adewole, Lawrence Bunmi, Shola, Peter Bamidele, Afolorunso, Adenrele, Obayomi, Adesoji Abraham, Aremu, Dayo Reuben, Almazroi, Abdulwahab Ali A.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.09.2022; Elsevier Limited
• Subjects: Algorithms; Artificial Bee Colony; Combinatorial analysis; Datasets; Foraging behavior; Heuristic; Heuristic methods; Integer programming; Intelligence; Internal Medicine; Metaheuristics; Operators (mathematics); Optimization; Optimization algorithms; Other; Parameters; Patient admission scheduling; Population; Population-based method; Population-based studies; Problem solving; Scheduling; Search algorithms; Solution space; Swarm intelligence; Timetabling; Patient admission scheduling; Timetabling; Artificial Bee Colony; Metaheuristics; Population-based method

Patient admission scheduling (PAS) is a tasking combinatorial optimization problem where a set of patients is assigned to limited facilities such as rooms, timeslots, and beds subject to satisfying a set of predefined constraints. The investigations into the performance of population-based algorithm...