International Journal of Computational Intelligence Systems

Volume 6, Issue 1, January 2013, Pages 79 - 86

A Novel Evolutionary Algorithm Inspired by Beans Dispersal

Authors
Xiaoming Zhang, Bingyu Sun, Tao Mei, Rujing Wang
Corresponding Author
Xiaoming Zhang
Received 6 October 2010, Accepted 4 November 2011, Available Online 2 January 2013.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
6 - 1
Pages
79 - 86
Publication Date
2013/01/02
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2013.756225How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - https://doi.org/10.1080/18756891.2013.756225
ID  - Zhang2013
ER  -