• DocumentCode
    2342763
  • Title

    Modeling a complex system using multiobjective genetic programming

  • Author

    Yan, Bai ; Yiheng, Jiang ; Yaochun, Zhu ; Xiaofei, Li ; Li, Fan

  • Author_Institution
    Dept. of Autom., North China Electr. Power Univ., Beijing
  • fYear
    2008
  • fDate
    3-5 June 2008
  • Firstpage
    781
  • Lastpage
    784
  • Abstract
    Genetic Programming is a kind of searching technique, which is intelligent, and it works by emulating natural evolution. The intelligent modeling technique based on genetic programming can recognize the relationship between the inputs and outputs of a complex system, and it has ascendeny of searching out the frame and the parameters of the system at the same time and the searching results are explicit. A novel multiobjective genetic programming, which searching aim is to minimize the sum of squares of deviations, the complexity and the maximal dynamic deviation, is put forward to model a coordinate system of power plant, and the results from simulation show that it is valid.
  • Keywords
    genetic algorithms; power engineering computing; power plants; intelligent modeling technique; maximal dynamic deviation; multiobjective genetic programming; power plant coordinated system; Automation; Electrical equipment industry; Genetic algorithms; Genetic programming; Industrial relations; Mathematical model; Optimization methods; Power generation; Power system modeling; Water resources; multiobjective genetic programming; system modeling; the coordinate system of power plant; transform function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1717-9
  • Electronic_ISBN
    978-1-4244-1718-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2008.4582621
  • Filename
    4582621