• DocumentCode
    2824265
  • Title

    Novel QoS Routing Algorithm Based on Cultural-Simulated Annealing Algorithm

  • Author

    Sun, Xue-Mei ; Lv, Xiao-Yu ; Duan, Xin-Ming

  • Author_Institution
    Coll. of Comput., Tianjin Polytech. Univ., Tianjin, China
  • fYear
    2009
  • fDate
    1-3 Nov. 2009
  • Firstpage
    209
  • Lastpage
    212
  • Abstract
    In this article we analysis the multi constrained quality of service routing (QoSR)model and a new QoSR algorithm based on the combination of the simulated annealing algorithm and the cultured algorithm is proposed. The cultural algorithm has a strong macro evolution capability, by using of this feature the simulated annealing algorithm is incorporated into the framework of the culture algorithm. The simulated annealing algorithm completes the local searching process which converts the individual solution to the neighborhood and transfers the optimal solution set to the belief space of the cultural algorithm. The belief space can guide the evolution of the next individual generation after updating. The simulation experiment demonstrates that the algorithm puts up a good performance in the QoSR problem.
  • Keywords
    quality of service; routing protocols; simulated annealing; QoS routing algorithm; cultural simulated annealing algorithm; cultured algorithm; multi constrained quality of service routing; Algorithm design and analysis; Ant colony optimization; Cultural differences; Evolutionary computation; Heuristic algorithms; Intelligent networks; Quality of service; Routing; Simulated annealing; Space technology; Cultural Algorithm; Quality of Service; Routing Problem; Simulated Annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-5557-7
  • Electronic_ISBN
    978-0-7695-3852-5
  • Type

    conf

  • DOI
    10.1109/ICINIS.2009.61
  • Filename
    5363767