Title: Cuckoo search algorithm with different distribution strategy

Authors: Hengliang Tang; Fei Xue

Addresses: School of Information, Beijing Wuzi University, Beijing, 101149, China ' School of Information, Beijing Wuzi University, Beijing, 101149, China

Abstract: Cuckoo search (CS) is a new meta-heuristic search algorithm based on the obligate nest parasitism of cuckoos and combining the characteristic flight of some birds and fruit flies. In order to study the influence of distribution strategy on cuckoo search algorithm, in the paper, introduces Cauchy distribution, Gaussian distribution, Uniform distribution and Levy distribution, analysis the performance of cuckoo search algorithm by the method of pair combination. In order to verify the effectiveness of the algorithm, 28 typical test functions proposed by CEC2013 were taken as examples for testing, and the experimental results showed the effectiveness of the algorithm. Simulation results show that the hybrid distribution of Levy distribution and Cauchy distribution can make the cuckoo search algorithm perform better.

Keywords: optimisation algorithm; cuckoo search algorithm; distribution strategy.

DOI: 10.1504/IJBIC.2019.10021706

International Journal of Bio-Inspired Computation, 2019 Vol.13 No.4, pp.234 - 241

Received: 26 Jan 2019
Accepted: 16 Feb 2019

Published online: 03 Jun 2019 *

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