• DocumentCode
    2484784
  • Title

    Solution of pursuit/evasion Differential Games using genetic algorithms

  • Author

    Li, Zhen ; Yu, Xinjie

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    3077
  • Lastpage
    3080
  • Abstract
    Differential games (DG) uses differential equation(s) to model the state varying of two (or more) sides in games. Saddle point is the solution of DG, which is the emphasis and the difficult point in DG especially pursuit/evasion DG (PEDG) study. In this text, saddle point and its meaning was discussed, numerical solution methods of saddle point of PEDG were assorted, three kinds of models were studied while using genetic algorithms (GA) and genetic programming (GP) to solve PEDG. The correctness of one kind of these models is proved by comparing the numerical solution with the analytic solution of a simple problem.
  • Keywords
    differential games; genetic algorithms; mathematical programming; genetic algorithms; genetic programming; numerical solution methods; pursuit-evasion differential games; saddle point; Automation; Contacts; Differential equations; Electronic mail; Genetic algorithms; Genetic programming; Intelligent control; Power system control; Power system modeling; Power systems; differential games; genetic algorithms; saddle points;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593413
  • Filename
    4593413