An Improved Cuckoo Search Optimization Algorithm for the Problem of Chaotic Systems Parameter Estimation
Joint Authors
Wang, Jun
Zhou, Shudao
Zhou, Bihua
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper proposes an improved cuckoo search (ICS) algorithm to establish the parameters of chaotic systems.
In order to improve the optimization capability of the basic cuckoo search (CS) algorithm, the orthogonal design and simulated annealing operation are incorporated in the CS algorithm to enhance the exploitation search ability.
Then the proposed algorithm is used to establish parameters of the Lorenz chaotic system and Chen chaotic system under the noiseless and noise condition, respectively.
The numerical results demonstrate that the algorithm can estimate parameters with high accuracy and reliability.
Finally, the results are compared with the CS algorithm, genetic algorithm, and particle swarm optimization algorithm, and the compared results demonstrate the method is energy-efficient and superior.
American Psychological Association (APA)
Wang, Jun& Zhou, Bihua& Zhou, Shudao. 2016. An Improved Cuckoo Search Optimization Algorithm for the Problem of Chaotic Systems Parameter Estimation. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1099620
Modern Language Association (MLA)
Wang, Jun…[et al.]. An Improved Cuckoo Search Optimization Algorithm for the Problem of Chaotic Systems Parameter Estimation. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1099620
American Medical Association (AMA)
Wang, Jun& Zhou, Bihua& Zhou, Shudao. An Improved Cuckoo Search Optimization Algorithm for the Problem of Chaotic Systems Parameter Estimation. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1099620
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099620