Title: Bat algorithm with oscillation element

Authors: Xingjuan Cai; Wuzhao Li; Qi Kang; Lei Wang; Qidi Wu

Addresses: Department of Control Science and Engineering, Tongji University, Shanghai, 201804, China; Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, 030024, China ' Department of Control Science and Engineering, Tongji University, Shanghai, 201804, China ' Department of Control Science and Engineering, Tongji University, Shanghai, 201804, China ' Department of Control Science and Engineering, Tongji University, Shanghai, 201804, China; Shanghai Key Laboratory of Financial Information Technology, Shanghai, 200433, China ' Department of Control Science and Engineering, Tongji University, Shanghai, 201804, China

Abstract: Bat algorithm is a novel swarm intelligent algorithm inspired by the echolocation behaviour of bats. However, the exploration capability is not well for some multi-model problems. In this paper, the control theory is applied to analyse the exploration behaviour for each bat, theoretical result shows the update manner in the standard version of bat algorithm can be viewed as a special case of oscillation element. Therefore, a new variant of bat algorithm, called bat algorithm with oscillation element, is designed. Different from the standard version, frequency is set to negative in this new variant. Furthermore, a new parameter, inertia weight is employed to provide a balance between exploitation and exploration. To test the performance, the CEC2013 shifted and rotated benchmark problems are used to compare, simulation results show our method is validity.

Keywords: bat algorithm; oscillation; inertia weight; control theory; exploitation; exploration; simulation; swarm intelligence.

DOI: 10.1504/IJICA.2015.072997

International Journal of Innovative Computing and Applications, 2015 Vol.6 No.3/4, pp.171 - 180

Received: 21 Jan 2015
Accepted: 14 May 2015
Published online: 11 Nov 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article