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《JOURNAL OF NORTH CHINA UNIVERSITY OF TECHNOLOGY》 1998-01
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System Identification Method Based On Improved Genetic Algorithms

Zeng Fanfeng; Ma Runjin; Cai Zixing (Research Institute of Intelligent Automation, North China Univ. of Tech., 100041, Beijing, China)  
In this paper, a system identification method based on improved genetic algorithm is introduced. Genetic algorithm is a global searching algorithm based on natural selection and natural genetic mechanics. In order to enhance optimal capability of algorithm, we use population migration and adaptive probability of mutation to modify algorithm. Simulation shows that the parameters converge to global optimization, with high robust and identification precision.
【Fund】: 国家自然科学基金;;博士点基金;;中国有色金属工业总公司归国人员科技基金
【CateGory Index】: TP18
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