Chaotic System Parameter Identification Based on Firefly Optimization

摘要：

　　Firefly Optimization Algorithm (FA) is a novel heuristic stochastic algorithm based on swarm intelligence,which is inspired by the fireflies biochemical and collective behavior.Due to the increment of attractiveness and the fixed step factor,the optimizing results are easily repeated oscillation on the position of local or global extreme value point,and the optimizing accuracy is reduced.Accordingly,this paper puts forward chaos firefly optimization algorithm (CFA),the improved algorithm can improve the diversity of population and the ergodicity of optimization,increase the ability of getting rid of trapped into local minima point.Chaos firefly optimization algorithm is used for the identification of chaotic system parameter; the results show the high accuracy of the algorithm parameter identification.

关键词： Swarm Intelligence Firefly Algorithm Inertia Weight Parameters Identification

作者: Wei-ming Gao Zhi-cheng Zhang Yao-hua Chong

作者单位: School Of Information Science and Engineering Lanzhou University Lanzhou,Gansu,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 2321-2324

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）