%0 Journal Article
%T Parameter estimation for Lorenz chaotic systems based on chaotic ant swarm algorithm<br>基于混沌蚂蚁群算法的Lorenz混沌系统的参数估计
%A Li Li-Xiang
%A Peng Hai-Peng
%A Yang Yi-Xian
%A Wang Xiang-Dong
%A <br>李丽香
%A 彭海朋
%A 杨义先
%A 王向东
%J 物理学报
%D 2007
%I 
%X The chaotic ant swarm algorithm is a chaos optimization algorithm based on swarm intelligence theory which was inspired by the chaotic and self-organizing behavior of the ants in nature. It includes both effects of chaotic dynamics and swarm-based search. Through the construction of a suitable fitness function, the problem of parameter estimation of the chaotic system is converted to a problem of parameter optimization which could be solved via chaotic ant swarm algorithm. Chaotic ant swarm algorithm has the ability of global search. A numerical simulation on the well-known Lorenz chaotic system is conducted. Simulation results show that the proposed method is effective in parameter estimation of the chaotic system.
%K parameter estimation
%K Lorenz chaotic system
%K chaotic ant swarm algorithm
%K numerical optimization<br>参数估计
%K Lorenz混沌系统
%K 混沌蚂蚁群算法
%K 数值优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=89334FC5D6B6E139&yid=A732AF04DDA03BB3&vid=014B591DF029732F&iid=CA4FD0336C81A37A&sid=987EDA49D8A7A635&eid=E514EE58E0E50ECF&journal_id=1000-3290&journal_name=物理学报&referenced_num=0&reference_num=17