• DocumentCode
    2820904
  • Title

    A Method Based on Genetic Algorithm for Anti-ship Missile Path Planning

  • Author

    Zhao, Xuechun ; Fan, Xiaohong

  • Author_Institution
    Naval Acad. of Armament, Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    156
  • Lastpage
    159
  • Abstract
    This paper presented a novel approach to search and optimize path points for anti-ship missile path planning. We utilized the method of MAKLINK graph to construct free space, and then, a global state connected graph is built up for searching for all possible routes. genetic algorithm is used to search and optimize path points severally in these local routes. According to flight rules and technique characteristics of anti-ship missile, a coding measure and the fitness function are proposed. By introducing constraints selection strategy, the method in this paper guaranteed that all paths resulted could satisfy constraints. The results by simulation revealed that the method proposed in this paper is effective in solving the path planning problem with constraints.
  • Keywords
    genetic algorithms; graph theory; missile control; path planning; search problems; ships; MAKLINK graph; antiship missile path planning; fitness function; genetic algorithm; path point optimization; path point search approach; state connected graph; Algorithm design and analysis; Ant colony optimization; Constraint optimization; Convergence; Genetic algorithms; Missiles; Optimization methods; Path planning; Sea measurements; Turning; anti-ship missile; genetic algorithm; path planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.370
  • Filename
    5193920