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
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;
Conference_Titel :
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-0241-8
DOI :
10.1109/ICCSE.2012.6295030