Title :
Tabu Artificial Fish Swarm Algorithm Based Intelligent QoS Multicast Routing Algorithm
Author :
Wang, Junwei ; Wang, Xingwei ; Huang, Min
Author_Institution :
Dept. of Autom., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
Abstract :
In this paper, a QoS multicast routing scheme based on TS (Tabu Search) and AFS (artificial fish swarm) is presented. The corresponding model and its mathematical description are introduced. By combining fast searching ability of AFS and global optimization ability of TS, it tries to find the best multicast tree with the maximum probability of meeting multiple QoS constraints under the given cost and the inaccurate QoS information. Simulation results have shown that it is effective and efficient.
Keywords :
multicast communication; quality of service; search problems; telecommunication network routing; Tabu artificial fish swarm algorithm; Tabu search; intelligent QoS multicast routing algorithm; multicast tree; multiple QoS constraints; Artificial intelligence; Bandwidth; Competitive intelligence; Constraint optimization; Delay; Marine animals; Mathematical model; Multicast algorithms; Particle swarm optimization; Routing;
Conference_Titel :
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-0-7695-3508-1
DOI :
10.1109/CIS.2008.162
