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

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

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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 read more population diversity balance scheme, an alternate iterative differential algorithm, called AIDE, is swisse high strength magnesium powder berry 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.