• DocumentCode
    532808
  • Title

    Improved anycast QoS routing algorithm based on genetic algorithm

  • Author

    Rui, Shi ; Shi-Lei, Shen ; Chen-Xi, Bai ; Xin, He

  • Author_Institution
    Comput. Center, Henan Univ., Kaifeng, China
  • Volume
    14
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    To overcome the problem of tending to converge to part in anycast QoS routing algorithm based on genetic algorithm, the paper proposes a new improved anycast QoS routing algorithm based on genetic algorithm which adopts the idea of dissimilarity and the theory of simulated annealing. The result of the simulation shows that this algorithm has a good ability of global search, and it can also efficiently and quickly find a set of low-cost paths with delay constraint. By comparing the simulation data to prove that the algorithm has a faster convergence rate, and improved the success rate of finding the optimal solution.
  • Keywords
    convergence; genetic algorithms; quality of service; simulated annealing; telecommunication network routing; QoS routing algorithm; convergence rate; genetic algorithm; simulated annealing; simulation data; Artificial intelligence; Quality of service; Anycast; Genetic Algorithm; QoS; dissimilarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5622359
  • Filename
    5622359