An Alternate Iterative Differential Evolution Algorithm for Parameter Identification of Chaotic Systems
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,...
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Language: | English |
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Wiley
2015-01-01
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Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2015/740721 |
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author | Wanli Xiang Xuelei Meng Meiqing An |
author_facet | Wanli Xiang Xuelei Meng Meiqing An |
author_sort | Wanli Xiang |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-b0ae7728e714454b9ab472541f936584 |
institution | Kabale University |
issn | 1026-0226 1607-887X |
language | English |
publishDate | 2015-01-01 |
publisher | Wiley |
record_format | Article |
series | Discrete Dynamics in Nature and Society |
spelling | doaj-art-b0ae7728e714454b9ab472541f9365842025-02-03T01:25:28ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2015-01-01201510.1155/2015/740721740721An Alternate Iterative Differential Evolution Algorithm for Parameter Identification of Chaotic SystemsWanli Xiang0Xuelei Meng1Meiqing An2Institute of Systems Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Traffic & Transportation, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, ChinaSchool of Traffic & Transportation, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, ChinaParameter 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.http://dx.doi.org/10.1155/2015/740721 |
spellingShingle | Wanli Xiang Xuelei Meng Meiqing An An Alternate Iterative Differential Evolution Algorithm for Parameter Identification of Chaotic Systems Discrete Dynamics in Nature and Society |
title | An Alternate Iterative Differential Evolution Algorithm for Parameter Identification of Chaotic Systems |
title_full | An Alternate Iterative Differential Evolution Algorithm for Parameter Identification of Chaotic Systems |
title_fullStr | An Alternate Iterative Differential Evolution Algorithm for Parameter Identification of Chaotic Systems |
title_full_unstemmed | An Alternate Iterative Differential Evolution Algorithm for Parameter Identification of Chaotic Systems |
title_short | An Alternate Iterative Differential Evolution Algorithm for Parameter Identification of Chaotic Systems |
title_sort | alternate iterative differential evolution algorithm for parameter identification of chaotic systems |
url | http://dx.doi.org/10.1155/2015/740721 |
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