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	A fast GA for model reduction and parameter estimation
	Wang Ling ; Li Bin-bin ; Zheng Da-zhong ; Jin Yi-hui
	2010-05-06 ; 2010-05-06
关键词	Theoretical or Mathematical/ genetic algorithms interpolation parameter estimation reduced order systems/ parameter estimation model reduction time-consuming evaluation fast genetic algorithm interpolation/ C1220 Simulation, modelling and identification C1180 Optimisation techniques C4130 Interpolation and function approximation (numerical analysis)
中文摘要	Due to the time-consuming evaluation of fitness value, the efficiency of classical genetic algorithm is very low when solving model reduction and parameter estimation problems. By introducing similarity degree and reliability degree in real-coded genetic algorithm, fitness value can be evaluated by interpolation so as to reduce the computational effort of evaluation process and improve the efficiency and real-time property of the whole algorithm. Simulation results based on typical model reduction and parameter estimation problems demonstrate the feasibility and effectiveness of the proposed algorithm.
语种	英语 ; 英语
出版者	Northeastern Univ ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/9176]
专题	清华大学
推荐引用方式 GB/T 7714	Wang Ling,Li Bin-bin,Zheng Da-zhong,et al. A fast GA for model reduction and parameter estimation[J],2010, 2010.
APA	Wang Ling,Li Bin-bin,Zheng Da-zhong,&Jin Yi-hui.(2010).A fast GA for model reduction and parameter estimation..
MLA	Wang Ling,et al."A fast GA for model reduction and parameter estimation".(2010).

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