• DocumentCode
    3194944
  • Title

    Study on QoS Multicast Routing Based on ACO-PSO Algorithm

  • Author

    Chen Xi-hong ; Liu Shao-wei ; Guan Jiao ; Liu Qiang

  • Author_Institution
    Missile Inst., AFEU, Sanyuan, China
  • Volume
    3
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    534
  • Lastpage
    537
  • Abstract
    QoS multicast routing problem is a nonlinear combination optimization problem, which has been proved to be a NP complete problem. a hybrid algorithm with ant colony optimization algorithm(ACO) and particle a warm optimization algorithm(PSO) is presented. The ACO-GA algorithm absorbs the merits of ACO and GA respectively. In hybrid algorithm, the position update of PSO is used to regulate the solution generated by ACO, which can make the current solution cross with current best solution of the paricle and current best solution of all partiles respectively. In additional, the strategy of the position update in PSO is motified by some re-defined arithmetic operators. The results of test show that the hybrid algorithm can meet QoS contraints of multicast routing problem excellently, and has better performance in finding global best solution.
  • Keywords
    computational complexity; genetic algorithms; particle swarm optimisation; quality of service; telecommunication network routing; ACO-PSO algorithm; NP complete problem; QoS multicast routing problem; ant colony optimization algorithm; genetic algorithm; nonlinear combination optimization problem; particle swarm optimization algorithm; Ant colony optimization; Automation; Bandwidth; Communication networks; Delay; Jitter; Multicast algorithms; Particle swarm optimization; Quality of service; Routing; Ant Colony Algorithm; Multicast Routing; Particle Swarm Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.419
  • Filename
    5522846