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
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;
Conference_Titel :
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location :
Hainan
Print_ISBN :
978-1-4577-2008-6
DOI :
10.1109/CIS.2011.23
