Bat algorithm with Gaussian walk for directing orbits of chaotic systems. (1st January 2014)

• Record Type: Journal Article
• Authors: Cai, Xingjuan; Li, WuZhao; Wang, Lei; Kang, Qi; Wu, Qidi; Huang, Xiaonan
• Is Part Of: International journal of computing science and mathematics. Volume 5:Number 2(2014)
• Page Start: 198
• Page End: 208
• Publication Date: 2014-01-01
• Subjects: bat algorithm -- Gaussian walk -- chaotic system; Mathematics -- Periodicals; Computer science -- Periodicals; Mathematics -- Data processing -- Periodicals; 510.285
• Languages: English
• ISSNs: 1752-5055

Abstract

Bat algorithm with Gaussian walk (BAGW) is a new variant of bat algorithm aiming to improve the computational efficiency. In BAGW, a Gaussian walk is employed in the local turbulence instead of the original uniform walk, so that the search efficiency of exploitation capability is controllable. Furthermore, to keep the high exploitation pressure, the velocity update equation is also changed. In this paper, BAGW is applied to solve the directing orbits of chaotic systems. To test its performance, the standard version bat algorithm and bat algorithm with Levy flight are employed to compare, simulation results show BAGW is superior to other two algorithms.