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Decisions for admission scheduling in hospitals are a class of optimization problems constrained by many factors. Instead of scheduling the admission of patients directly, this paper proposes a genetic algorithm (GA) designed for the optimization of a long-term admission strategy for the ophthalmology department in hospitals. For the optimization of admission strategy, we devise a coding scheme of...
Nurse scheduling problem (NSP) is the problem of determining a reasonable and efficient work schedule for nurses. This paper presents a new external memory-based approach along with Multi-Objective Genetic Algorithms (MOGA) to solve multiobjective NSPs. In multiobjective modeling of NSPs, there are several objectives which are in conflict with each other, and there are some hard constraints that should...
This paper proposes an effective parallel algorithm for the cooperative genetic algorithm (CGA) to solve a nurse scheduling problem. The nurse scheduling is very complex task for a clinical director in a general hospital. Even veteran director needs one or two weeks to create the schedule. Besides, we extend the nurse schedule to permit the change of the schedule. This permission has explosively increased...
The operating theatre is considered as the bottleneck of the hospital and as one of the most resources consuming unit. Therefore its management is of primary interest: an efficient planning allows to use as better as possible the availability of the operating theatre and reduce human and financial working costs. This paper deals with operating theatre planning optimization. We present a mathematical...
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