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Parameter estimation for chaotic systems by hybrid differential evolution algorithm and artificial bee colony algorithm
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DOI：10.1007/s11071-014-1273-9.png)
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摘要
En 中文
This paper is concerned with the parameter estimation of nonlinear chaotic system, which could be essentially formulated as a multi-dimensional optimization problem. In this paper, a hybrid algorithm by combining differential evolution with artificial bee colony is implemented to solve parameter estimation for chaotic systems. Hybrid algorithm combines the exploration of differential evolution with the exploitation of the artificial bee colony effectively. Experiments have been conducted on Lorenz system and Chen system. The proposed algorithm is applied to estimate the parameters of two chaotic systems. Simulation results and comparisons demonstrate that the proposed algorithm is better or at least comparable to differential evolution, artificial bee colony, particle swarm optimization, and genetic algorithm from literature when considering the quality of the solutions obtained.
Keyword:
Differential evolution algorithm
Artificial bee colony
Exploration
Exploitation
Chaotic system
Parameter estimation
期刊
IF:
6
论文数:
1.4W
被引数:
4.1W
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