• DocumentCode
    2648864
  • Title

    Application of the bacterial chemotaxis algorithm for solving nonlinear optimal control problem

  • Author

    Ren, Ping ; Gao, Liqun ; Li, Nan

  • Author_Institution
    Sch. of Inf. Eng., Shenyang Univ., Shenyang, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    899
  • Lastpage
    902
  • Abstract
    In this paper, the nonlinear optimal control problem is formulated as a multi-objective mathematical optimization problem. Bacterial Chemotaxis (BC) algorithm is one of the new heuristic algorithms based on colony intelligence. The BC optimization algorithm is introduced for the first time in solving the nonlinear optimal control problem. A case on the nonlinear optimal control problem is presented to show the methodology´s feasibility and efficiency, compared with the existing optimal planning methods, the search time of the BC optimization algorithm is shorter and the result is close to the ideal solution, simultaneously.
  • Keywords
    nonlinear control systems; optimal control; optimisation; BC optimization algorithm; bacterial chemotaxis algorithm; colony intelligence; heuristic algorithms; multiobjective mathematical optimization problem; nonlinear optimal control problem; optimal planning methods; Algorithm design and analysis; Biological system modeling; Educational institutions; Heuristic algorithms; Microorganisms; Optimal control; Optimization; Application; Bacterial chemotaxis algorithm; Multi-objective mathematical optimization problem; Nonlinear optimal control problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6242990
  • Filename
    6242990