• DocumentCode
    1975266
  • Title

    A Collision Detection Algorithm Based on Modified Quantum Genetic Algorithm

  • Author

    Wu, Jue ; Chen, LiXue ; Peng, Lingxi ; Yang, Lei

  • Author_Institution
    Coll. of Comput. Sci. & Technol., South West Pet. Univ., Mianyang, China
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Collision detection is very important for improving the truth and immersion in the virtual environment. The paper analyzes the problems that exist in the normal algorithm. And there are no algorithm which is suitable to every situation. And the more complex the situations are, the more inefficient the algorithm is. The paper converts the problem of the collision detection to the non-linear programming problem with restricted condition. And use the modified quantum genetic algorithm to solute this problem. The results show that this method is efficient, especially in large-scale scenes.
  • Keywords
    genetic algorithms; large-scale systems; nonlinear programming; quantum computing; collision detection algorithm; large-scale scenes; modified quantum genetic algorithm; nonlinear programming problem; virtual environment; Detection algorithms; Evolutionary computation; IEEE Press; Programming profession; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Applications, 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5142-5
  • Electronic_ISBN
    978-1-4244-5143-2
  • Type

    conf

  • DOI
    10.1109/ITAPP.2010.5566164
  • Filename
    5566164