Using QIGSO with steepest gradient descent strategy to direct orbits of chaotic systems

Authors:
Zhuanghua Zhu
Affiliations:
Economic Information Department, Shanxi Finance and Taxation College, WanBailin District, Taiyuan 030024, China
Venue:
International Journal of Computational Science and Engineering
Year:
2012

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Abstract

As a new swarm intelligent algorithm, group search optimiser (GSO) attracts many scholars' attention. However, its performance is not good. To overcome this shortcoming, a new group search optimiser based on quadratic interpolation method (QIGSO) is proposed by Yao et al. (2011) in which one local optimum is estimated. In this paper, a new strategy, steepest gradient descent strategy is incorporated into the methodology of QIGSO to enhance the exploitation capability. This new variant of QIGSO (QIGSO-SDO) provides little estimation error, and obtains a better performance near the local optima. In this paper, QIGSO-SDO is employed to solve the directing orbits of chaotic systems, simulation results show this new variant increases the performance significantly when compared with the standard version of group search optimiser.