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 here 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, read more DE/best/1/bin, and other four well-known algorithms in all cases.