Parameter Identification of Hyperchaotic Chen-Lee System Using Firefly Algorithm

Q3 Computer Science

International Journal of Advances in Soft Computing and its Applications Pub Date : 2018-01-01 DOI:10.5899/2018/JSCA-00096

Farid Shayeteh, R. K. Moghaddam

引用次数: 2

Abstract

Parameter identification for chaotic systems is one of the crucial issues in nonlinear science, which can be raised as a multi-dimensional optimization problem. In this article, parameter estimation of hyperchaotic Chen-Lee system was performed for the first time using the metaheuristic firefly algorithm. Firefly algorithm is a nature-inspired metaheuristic and optimization algorithm. This algorithm has been provided by Yang and inspired by natural behavior of fireflies of light emission. The efficiency of the firefly algorithm has been compared with the particle swarm optimization (PSO) algorithm. The results of the simulation conducted on the model indicated high accuracy and speed of the firefly algorithm in parameter estimation of hyperchaotic systems.

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基于萤火虫算法的超混沌Chen-Lee系统参数辨识

混沌系统的参数辨识是非线性科学中的关键问题之一，可以看作是一个多维优化问题。本文首次采用元启发式萤火虫算法对超混沌Chen-Lee系统进行参数估计。萤火虫算法是一种受自然启发的元启发式优化算法。该算法由Yang提供，灵感来自萤火虫的自然发光行为。将萤火虫算法的效率与粒子群优化算法进行了比较。模型仿真结果表明，萤火虫算法在超混沌系统参数估计中具有较高的精度和速度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Advances in Soft Computing and its Applications Computer Science-Computer Science Applications

CiteScore

3.30

自引率

0.00%

发文量

期刊介绍： The aim of this journal is to provide a lively forum for the communication of original research papers and timely review articles on Advances in Soft Computing and Its Applications. IJASCA will publish only articles of the highest quality. Submissions will be evaluated on their originality and significance. IJASCA invites submissions in all areas of Soft Computing and Its Applications. The scope of the journal includes, but is not limited to: √ Soft Computing Fundamental and Optimization √ Soft Computing for Big Data Era √ GPU Computing for Machine Learning √ Soft Computing Modeling for Perception and Spiritual Intelligence √ Soft Computing and Agents Technology √ Soft Computing in Computer Graphics √ Soft Computing and Pattern Recognition √ Soft Computing in Biomimetic Pattern Recognition √ Data mining for Social Network Data √ Spatial Data Mining & Information Retrieval √ Intelligent Software Agent Systems and Architectures √ Advanced Soft Computing and Multi-Objective Evolutionary Computation √ Perception-Based Intelligent Decision Systems √ Spiritual-Based Intelligent Systems √ Soft Computing in Industry ApplicationsOther issues related to the Advances of Soft Computing in various applications.