A hybrid intelligent QoS multicast routing algorithm in NGI

被引：0

作者：

Wang, Junwei ^{[1
,2
]}

Wang, Xingwei ^{[1
]}

Huang, Min ^{[1
]}

机构：

[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China

[2] Northeastern Univ Qinhuangdao, Qinhuangdao 066004, Peoples R China

来源：

2006 10TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY, VOLS 1 AND 2, PROCEEDINGS | 2006年

关键词：

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

With the characteristics of multi-constrained QoS (Quality of Service) routing in NGI (Next Generation Internet) considered, a hybrid intelligent QoS multicast routing algorithm based on PSO (Particle Swarm Optimization) and GA (Genetic Algorithm) is presented. It tries to find the best multicast routing tree with the maximum probability of meeting multiple QoS constraints under the given cost.

引用

页码：1146 / +

页数：2

共 8 条

[1]

ABHISHEK R, 2004, WIREL NETW, V10, P271

[2]

DANIEL Z, 2004, IEEE ACM T NETWORK, V12, P30

[3] Application of simulated annealing and tabu search for loss minimization in distribution systems [J].

Jeon, YJ ;

Kim, JC .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2004, 26 (01) :9-18

[4]

MOSES C, 2004, IEEE ACM T NETWORK, V12, P340

[5]

Oh JS, 2004, LECT NOTES COMPUT SC, V3090, P342

[6] Recent approaches to global optimization problems through Particle Swarm Optimization [J].

K.E. Parsopoulos ;

M.N. Vrahatis .

Natural Computing, 2002, 1 (2-3) :235-306

[7]

Srinivas N., 1994, Evolutionary Computation, V2, P221, DOI 10.1162/evco.1994.2.3.221

[8]

Zheng Yan-Xing, 2003, Chinese Journal of Computers, V26, P746

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