Differential evolution algorithm-based parameter estimation for chaotic systems

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	Differential evolution algorithm-based parameter estimation for chaotic systems
	Peng Bo ; Liu Bo ; Zhang Fu-Yi ; Wang Ling
	2009
关键词	Convergence of numerical methods Damping Evolutionary algorithms Metal analysis Parameter estimation Population statistics
英文摘要	Parameter estimation for chaotic systems is an important issue in nonlinear science and has attracted increasing interests from various research fields, which could be essentially formulated as a multidimensional optimization problem. As a novel evolutionary computation technique, differential evolution algorithm (DE) has attracted much attention and wide applications, owing to its simple concept, easy implementation and quick convergence. However, to the best of our knowledge, there is no published work on DE for estimating parameters of chaotic systems. In this paper, a DE approach is applied to estimate the parameters of Lorenz system. Numerical simulation and the comparisons demonstrate the effectiveness and robustness of DE. Moreover, the effect of population size on the optimization performances is investigated as well. © 2007 Elsevier Ltd. All rights reserved.
出处	Chaos, Solitons and Fractals
卷	39 期:5 页:2110-2118
收录类别	EI
语种	英语
内容类型	EI期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/24668]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Peng Bo,Liu Bo,Zhang Fu-Yi,et al. Differential evolution algorithm-based parameter estimation for chaotic systems. 2009.