Optimal parameter settings for bat algorithm. (2015)

• Record Type: Journal Article
• Authors: Xue, Fei; Cai, Yongquan; Cao, Yang; Cui, Zhihua; Li, Feixiang
• Is Part Of: International journal of bio-inspired computation. Volume 7:Number 2(2015)
• Page Start: 125
• Page End: 128
• Publication Date: 2015
• Subjects: bat algorithm -- orthogonal arrays -- experimental design -- CEC 2013 competition problems -- optimal parameter settings -- optimisation -- simulation; Biologically-inspired computing -- Periodicals; Computational biology -- Periodicals; 572.0285
• Languages: English
• ISSNs: 1758-0366

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.