DocumentCode
3249343
Title
Research on the solving of nonlinear equation group based on artificial bee colony algorithm
Author
Liu, Jia ; Li, Jing ; Wang, Junfeng ; Feng, Bo ; Huo, Junyi
Author_Institution
Shijiazhuang Inst. of Railway Technol., Shijiazhuang, China
fYear
2012
fDate
14-17 July 2012
Firstpage
75
Lastpage
79
Abstract
An improved artificial bee colony algorithm (IABC) is proposed in this paper, which is aimed at some defects of ABC such as low optimization precision and easy to fall into local optimal value. A new method is introduced to produce a new solution when the bees are going on neighborhood search in the improved algorithm. IABC is as simple as ABC to implement, but can greatly improve the ability of seeking the global excellent result and the convergence property and accuracy. The feasibility and effectiveness of the new approach was verified through some nonlinear equations and functions. The experimental results show that the proposed algorithm is significantly superior to original ABC.
Keywords
group theory; optimisation; IABC; improved artificial bee colony algorithm; local optimal value; nonlinear equation group; nonlinear equations; nonlinear functions; Convergence; Genetic algorithms; Mathematical model; Nonlinear equations; Optimization; Sociology; artificial bee colony algorithm; global optimization; nonlinear equations; swarm intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4673-0241-8
Type
conf
DOI
10.1109/ICCSE.2012.6295030
Filename
6295030
Link To Document