A Novel Evolutionary Algorithm Inspired by Beans Dispersal

DOI

10.1080/18756891.2013.756225How to use a DOI?

Keywords

evolutionary algorithm, swarm intelligence, particle swarm optimization, bean optimization algorithm

Abstract

Inspired by the transmission of beans in nature, a novel evolutionary algorithm-Bean Optimization Algorithm (BOA) is proposed in this paper. BOA is mainly based on the normal distribution which is an important continuous probability distribution of quantitative phenomena. Through simulating the self-adaptive phenomena of plant, BOA is designed for solving continuous optimization problems. We also analyze the global convergence of BOA by using the Solis and Wets’ research results. The conclusion is that BOA can converge to the global optimization solution with probability one. In order to validate its effectiveness, BOA is tested against benchmark functions. And its performance is also compared with that of particle swarm optimization (PSO) algorithm. The experimental results show that BOA has competitive performance to PSO in terms of accuracy and convergence speed on the explored tests and stands out as a promising alternative to existing optimization methods for engineering designs or applications.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - JOUR
AU  - Xiaoming Zhang
AU  - Bingyu Sun
AU  - Tao Mei
AU  - Rujing Wang
PY  - 2013
DA  - 2013/01/02
TI  - A Novel Evolutionary Algorithm Inspired by Beans Dispersal
JO  - International Journal of Computational Intelligence Systems
SP  - 79
EP  - 86
VL  - 6
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.756225
DO  - 10.1080/18756891.2013.756225
ID  - Zhang2013
ER  -