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A Modification Artificial Bee Colony Algorithm for Optimization Problems
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-17
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
This paper presents a modified artificial bee colony algorithm (MABC) for solving function optimization problems and control of mobile robot system.
Several strategies are adopted to enhance the performance and reduce the computational effort of traditional artificial bee colony algorithm, such as elite, solution sharing, instant update, cooperative strategy, and population manager.
The elite individuals are selected as onlooker bees for preserving good evolution, and, then, onlooker bees, employed bees, and scout bees are operated.
The solution sharing strategy provides a proper direction for searching, and theinstant update strategy provides the newest information for other individuals; the cooperative strategy improves the performance for high-dimensional problems.
In addition, the population manager is proposed to adjust population size adaptively according to the evolution situation.
Finally, simulation results for optimization of test functions and tracking control of mobile robot system are introduced to show the effectiveness and performance ofthe proposed approach.
American Psychological Association (APA)
Liang, Jun-Hao& Lee, Ching-Hung. 2015. A Modification Artificial Bee Colony Algorithm for Optimization Problems. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1074189
Modern Language Association (MLA)
Liang, Jun-Hao& Lee, Ching-Hung. A Modification Artificial Bee Colony Algorithm for Optimization Problems. Mathematical Problems in Engineering No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1074189
American Medical Association (AMA)
Liang, Jun-Hao& Lee, Ching-Hung. A Modification Artificial Bee Colony Algorithm for Optimization Problems. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1074189
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074189