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论文类型：期刊论文

发表时间：2010-06-01

发表刊物：INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL

收录刊物：SCIE、EI、SSCI、Scopus

卷号：6

期号：6

页面范围：2847-2856

ISSN号：1349-4198

关键字：System dynamics; Policy optimization; Genetic algorithm

摘要：Policy optimization has been a focus in research. of system control in recent years. By using the principles of systems dynamics and polynomial control theory, this paper demonstrates how to convert a function-based policy problem into a parameter-based policy problem which can then be solved with a programming model based on genetic algorithm. A case of multi-vendor inventory system is studied to validate the proposed programming model and solution methods. This paper is of theoretical and practical significance in developing and perfecting the fundamental principles of Systems Dynamics as well as in exploring the theories of socio-economic system control and policy optimization.