A Simple and Efficient Artificial Bee Colony Algorithm
Joint Authors
Xu, Yunfeng
Fan, Ping
Yuan, Ling
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Artificial bee colony (ABC) is a new population-based stochastic algorithm which has shown good search abilities on many optimization problems.
However, the original ABC shows slow convergence speed during the search process.
In order to enhance the performance of ABC, this paper proposes a new artificial bee colony (NABC) algorithm, which modifies the search pattern of both employed and onlooker bees.
A solution pool is constructed by storing some best solutions of the current swarm.
New candidate solutions are generated by searching the neighborhood of solutions randomly chosen from the solution pool.
Experiments are conducted on a set of twelve benchmark functions.
Simulation results show that our approach is significantly better or at least comparable to the original ABC and seven other stochastic algorithms.
American Psychological Association (APA)
Xu, Yunfeng& Fan, Ping& Yuan, Ling. 2013. A Simple and Efficient Artificial Bee Colony Algorithm. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1009709
Modern Language Association (MLA)
Xu, Yunfeng…[et al.]. A Simple and Efficient Artificial Bee Colony Algorithm. Mathematical Problems in Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1009709
American Medical Association (AMA)
Xu, Yunfeng& Fan, Ping& Yuan, Ling. A Simple and Efficient Artificial Bee Colony Algorithm. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1009709
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009709