Title: Optimal parameter settings for bat algorithm

Authors: Fei Xue; Yongquan Cai; Yang Cao; Zhihua Cui; Feixiang Li

Addresses: College of Computer Science and Technology, Beijing University of Technology, Beijing, 100124, China ' College of Computer Science and Technology, Beijing University of Technology, Beijing, 100124, China ' Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi, 030024, China ' Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi, 030024, China ' Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi, 030024, China

Abstract: Bat algorithm is a swarm intelligent algorithm inspired by the echolocation behaviour of bats. Recently, there are many research works focus on this algorithm, however, most of them are with different parameter settings when dealing with un-constrained numerical problems. In this paper, one optimal parameter setting for bat algorithm is discussed with orthogonal experimental design, and tested on CEC 2013 competition problems. To test the performance, the optimal setting is used to compare with other four bat algorithms. Simulation results show the validity.

Keywords: bat algorithm; orthogonal arrays; experimental design; CEC 2013 competition problems; optimal parameter settings; optimisation; simulation.

DOI: 10.1504/IJBIC.2015.069304

International Journal of Bio-Inspired Computation, 2015 Vol.7 No.2, pp.125 - 128

Received: 22 Dec 2014
Accepted: 22 Mar 2015

Published online: 08 May 2015 *

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