Self-Adaptive Step Firefly Algorithm
Joint Authors
Su, Shoubao
Yu, Shuhao
Yang, Shanlin
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-02
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
In the standard firefly algorithm, each firefly has the same step settings and its values decrease from iteration to iteration.
Therefore, it may fall into the local optimum.
Furthermore, the decreasing of step is restrained by the maximum of iteration, which has an influence on the convergence speed and precision.
In order to avoid falling into the local optimum and reduce the impact of the maximum of iteration, a self-adaptive step firefly algorithm is proposed in the paper.
Its core idea is setting the step of each firefly varying with the iteration, according to each firefly’s historical information and current situation.
Experiments are made to show the performance of our approach compared with the standard FA, based on sixteen standard testing benchmark functions.
The results reveal that our method can prevent the premature convergence and improve the convergence speed and accurateness.
American Psychological Association (APA)
Yu, Shuhao& Yang, Shanlin& Su, Shoubao. 2013. Self-Adaptive Step Firefly Algorithm. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-501778
Modern Language Association (MLA)
Yu, Shuhao…[et al.]. Self-Adaptive Step Firefly Algorithm. Journal of Applied Mathematics No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-501778
American Medical Association (AMA)
Yu, Shuhao& Yang, Shanlin& Su, Shoubao. Self-Adaptive Step Firefly Algorithm. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-501778
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501778