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	Integrating Optimal Simulation Budget Allocation and Genetic Algorithm to Find the Approximate Pareto Patient Flow Distribution
	Song, Jie ; Qiu, Yunzhe ; Liu, Zekun
	2016
关键词	Discrete-event simulation (DES) genetic algorithm (GA) patient flow distribution simulation optimization EMERGENCY-DEPARTMENT PERFORMANCE OPTIMIZATION
英文摘要	The imbalanced development among different levels of healthcare facilities has become a major social issue in China's urban healthcare system, which has raised the irrational patient flow distribution on the levels of both intra-hospital and inter-healthcare facilities. In this research, we develop a methodology to find the optimal macrolevel patient flow distribution in terms of multidimension inputs and outputs for the two-level healthcare system. The proposed method integrates the discrete-event simulation (DES), the multiobjective optimization and the simulation budget allocation together to comprehensively improve the overall system performances by finding the approximate Pareto patient flow distribution in the hierarchical healthcare system. The multiobjective optimal computing budget allocation (MOCBA) is applied to improve the efficiency, where the non-dominated probability is functioned as the fitness measurement to each design. A case study based on the real data is carried out to validate and implement the proposed method. The results of the case study show the recommended Pareto optimal patient flow distribution can improve the overall hierarchical system performances and our methodology are qualified as a quantitative decision tool for decision makers.; National Science Foundation of China (NSFC) [71301003]; Specialized Research Fund for the Doctoral Program of Higher Education (SRFDPH) [20130001120007]; Hong Kong RGC [T32-102/14N]; SCI(E); ARTICLE; songjie@coe.pku.edu.cn; qiuyunzhe92@163.com; lzk19930317@163.com; 1; 149-159; 13
语种	英语
出处	SCI
出版者	IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/438852]
专题	数学科学学院 工学院
推荐引用方式 GB/T 7714	Song, Jie,Qiu, Yunzhe,Liu, Zekun. Integrating Optimal Simulation Budget Allocation and Genetic Algorithm to Find the Approximate Pareto Patient Flow Distribution. 2016-01-01.

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