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Network Congestion Control Method Based on Hybrid Genetic ImmuneParticle Swarm Optimization
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[1]KONG Jin-sheng,XIAO Tian,XU Jin.Network Congestion Control Method Based on Hybrid Genetic ImmuneParticle Swarm Optimization[J].Journal of Zhengzhou University (Engineering Science),2013,34(02):57-59.[doi:10.3969/j. issn.1671 - 6833.2013.02.015]
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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 34卷 Number of periods: 2013 02 Page number: 57-59 Column: Public date: 2013-03-28
Title:
Network Congestion Control Method Based on Hybrid Genetic ImmuneParticle Swarm Optimization
Author(s):
KONG Jin-sheng1; XIAO Tian2; XU Jin1
1.Ssehool of Electrical Engineering, Zhengzhou University,Zhengzhou 45001 , China; 2.Department of Electronics and Informa-tion Engineering，Huazhong University of Science & Technology，Wuhan 430074，China
Keywords:
PSO; GA; IA; IGAPSO ;  network congestion control
CLC:
TP301.6
DOI:
10.3969/j. issn.1671 - 6833.2013.02.015
Abstract:
Particle swarm optimization ( PSO) algorithm has the features of rapid calculation speed and simplerealization. But it easily falls into local optimum when dealing with actual problems. This paper presents akind of hybrid strategy : the genetic immune PS0. We introduce the genetic algorithm,the immune algorithmto PSO,which can improve the global search ability,avoid faling into local optimal in searching process,andimprove the convergence rate of the algorithm by reserving the diversity of population algorithm. Applying thealgorithm to the network congestion control,we proposed a network congestion method based on hybrid geneticimmune PS0 to solve the network congestion phenomenon. The simulation results show the feasibility of thismethod.
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