A Novel Artificial Bee Colony Algorithm for Function Optimization
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
It is known that both exploration and exploitation are important in the search equations of ABC algorithms.
How to well balance the two abilities in the search process is still a challenging problem in ABC algorithms.
In this paper, we propose a novel artificial bee algorithm named as “NABC,” by incorporating the information of the global best solution into the solution search equation of the onlookers stage to improve the exploitation.
At the same time, we improve the search equation of the employed bees to keep the exploration.
The experimental results of NABC tested on a set of 11 numerical benchmark functions show good performance and fast convergence in solving function optimization problems, compared with variant ABC, DE, and PSO algorithms.
The application of NABC on solving five standard knapsack problems shows its effectiveness and practicability.
American Psychological Association (APA)
Zhang, Song& Liu, Sanyang. 2015. A Novel Artificial Bee Colony Algorithm for Function Optimization. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1072955
Modern Language Association (MLA)
Zhang, Song& Liu, Sanyang. A Novel Artificial Bee Colony Algorithm for Function Optimization. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1072955
American Medical Association (AMA)
Zhang, Song& Liu, Sanyang. A Novel Artificial Bee Colony Algorithm for Function Optimization. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1072955
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1072955