An Alternate Iterative Differential Evolution Algorithm for Parameter Identification of Chaotic Systems
2015 ◽
Vol 2015
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pp. 1-11
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Keyword(s):
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.
2007 ◽
Vol 34
(2)
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pp. 412-419
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2009 ◽
Vol 39
(5)
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pp. 2110-2118
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2020 ◽
Vol 30
(04)
◽
pp. 2050058