• 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