DocumentCode :
2329804
Title :
A genetic algorithm for the optimization of admission scheduling strategy in hospitals
Author :
Chen, Ni ; Zhan, Zhi-Hui ; Zhang, Jun ; Liu, Ou ; Liu, Hai-Lin
Author_Institution :
Dept. of Comput. Sci., Sun Yat-sen Univ., Guangzhou, China
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
5
Abstract :
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 strategies and define the objective functions for two objectives: efficiency and fairness. The proposed algorithm utilizes historical data of the hospital for evaluation of chromosomes. Experiments are conducted on several cases, and the strategy optimized by the proposed GA is compared with the first come first serve (FCFS) strategy and the greedy strategy. Experimental results show that strategies optimized by the proposed algorithm outperform FCFS and the greedy strategy.
Keywords :
cellular biophysics; genetic algorithms; greedy algorithms; hospitals; medical administrative data processing; admission scheduling strategy optimization; chromosome evaluation; first come first serve strategy; genetic algorithm; greedy strategy; historical data; hospital; ophthalmology department; patient admission; Algorithm design and analysis; Biological cells; Hospitals; Mathematical model; Optimization; Scheduling; Surgery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6909-3
Type :
conf
DOI :
10.1109/CEC.2010.5586263
Filename :
5586263
Link To Document :
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