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

Volume

1

fYear

2008

fDate

13-17 Dec. 2008

Firstpage

56

Lastpage

60

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security, 2008. CIS '08. International Conference on

Conference_Location

Suzhou

Print_ISBN

978-0-7695-3508-1

Type

conf

DOI

10.1109/CIS.2008.162

Filename

4724614