DocumentCode
2985686
Title
Glowworm swarm optimization algorithm for solving multi-constrained QoS multicast routing problem
Author
Deng-xu, HE ; Hua-zheng, ZHU ; Gui-qing, LIU
Author_Institution
Coll. of Math. & Comput. Sci., Guangxi Univ. for Nat., Nanning, China
fYear
2011
fDate
3-4 Dec. 2011
Firstpage
66
Lastpage
70
Abstract
The glowworm swarm optimization algorithm is used to solve the multi-constrained QoS multicast routing problem and QoS-GSO algorithm is presented. Our test shows that the algorithm can find optimal solution quickly and has better performance than GA and ACO. Furthermore, for the larger multi-constrained QoS multicast routing problem, the QoS-GSO algorithm can also quickly obtain the correct solution, which has good prospects of application.
Keywords
multicast communication; particle swarm optimisation; quality of service; telecommunication network routing; QoS-GSO algorithm; glow worm swarm optimization algorithm; multiconstrained QoS multicast routing problem; Delay; Encoding; Heuristic algorithms; Jitter; Particle swarm optimization; Quality of service; Routing; GSO; multicast routing; swarm intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location
Hainan
Print_ISBN
978-1-4577-2008-6
Type
conf
DOI
10.1109/CIS.2011.23
Filename
6128076
Link To Document