An Alternate Iterative Differential Evolution Algorithm for Parameter Identification of Chaotic Systems

Wanli Xiang, Xuelei Meng and Meiqing An

Discrete Dynamics in Nature and Society, 2015, vol. 2015, 1-11

Abstract:

Parameter estimation of chaotic systems plays a key role for control and synchronization of chaotic systems. At first, the parameter estimation of chaotic systems is mathematically formulated as a global continuous optimization problem. Then through integrating two differential mutation strategies, an improved greedy selection mechanism and a population diversity balance scheme, an alternate iterative differential algorithm, called AIDE, is presented to solve the problem in this paper. Subsequently, experiments are tested on a set of cases of parameter estimation of chaotic systems and the results show that AIDE is better than or at least equal to DE/rand/1/bin, DE/best/1/bin, and other four well-known algorithms in all cases.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:740721

DOI: 10.1155/2015/740721

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