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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Main Authors: Wanli Xiang, Xuelei Meng, Meiqing An
Format: Article
Language:English
Published: Wiley 2015-01-01
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
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institution Kabale University
issn 1026-0226
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publishDate 2015-01-01
publisher Wiley
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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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AT wanlixiang alternateiterativedifferentialevolutionalgorithmforparameteridentificationofchaoticsystems
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