• DocumentCode
    2540437
  • Title

    Using social cognitive optimization algorithm to solve nonlinear equations

  • Author

    Cui, Zhihua ; Cai, Xingjuan

  • Author_Institution
    Complex Syst. & Comput. Intell. Lab., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
  • fYear
    2010
  • fDate
    7-9 July 2010
  • Firstpage
    199
  • Lastpage
    203
  • Abstract
    Finding feasible solution for a nonlinear equations is a very challenging problem and generally needs a high computational efforts. In this paper, a new swarm intelligent algorithm, social cognitive optimization algorithm (SCOA), is proposed to solve this problem. In SCOA, each individual simulates one natural person. All of them are communicated through cooperation and competition to increase social status. The winner with the highest status will be the final solution. Simulation results show this new algorithm can solve the problem significantly.
  • Keywords
    cognitive systems; nonlinear equations; optimisation; nonlinear equations; social cognitive optimization algorithm; swarm intelligent algorithm; Algorithm design and analysis; Indexes; Mathematical model; Nonlinear equations; Nonlinear systems; Optimization; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics (ICCI), 2010 9th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-8041-8
  • Type

    conf

  • DOI
    10.1109/COGINF.2010.5599742
  • Filename
    5599742