Enhanced constrained artificial bee colony algorithm for optimization problems
Joint Authors
Babaeizadeh, Soudeh
Ahmad, Ruhanin
Source
The International Arab Journal of Information Technology
Issue
Vol. 14, Issue 2 (31 Mar. 2017)8 p.
Publisher
Publication Date
2017-03-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Artificial Bee Colony (ABC) algorithm is a relatively new swarm intelligence algorithm that has attracted great deal of attention from researchers in recent years with the advantage of less control parameters and strong global optimization ability.
However, there is still an insufficiency in ABC regarding its solution search equation, which is good at exploration but poor at exploitation.
This drawback can be even more significant when constraints are also involved.
To address this issue, an Enhanced Constrained ABC algorithm (EC-ABC) is proposed for Constrained Optimization Problems (COPs) where two new solution search equations are introduced for employed bee and onlooker bee phases respectively.
In addition, both chaotic search method and opposition-based learning mechanism are employed to be used in population initialization in order to enhance the global convergence when producing initial population.
This algorithm is tested on several benchmark functions where the numerical results demonstrate that the EC-ABC is competitive with state of the art constrained ABC algorithm.
American Psychological Association (APA)
Babaeizadeh, Soudeh& Ahmad, Ruhanin. 2017. Enhanced constrained artificial bee colony algorithm for optimization problems. The International Arab Journal of Information Technology،Vol. 14, no. 2.
https://search.emarefa.net/detail/BIM-693721
Modern Language Association (MLA)
Babaeizadeh, Soudeh& Ahmad, Ruhanin. Enhanced constrained artificial bee colony algorithm for optimization problems. The International Arab Journal of Information Technology Vol. 14, no. 2 (2017).
https://search.emarefa.net/detail/BIM-693721
American Medical Association (AMA)
Babaeizadeh, Soudeh& Ahmad, Ruhanin. Enhanced constrained artificial bee colony algorithm for optimization problems. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 2.
https://search.emarefa.net/detail/BIM-693721
Data Type
Journal Articles
Language
English
Notes
Includes appendices.
Record ID
BIM-693721