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Frontiers of Electrical and Electronic Engineering

ISSN 2095-2732

ISSN 2095-2740(Online)

CN 10-1028/TM

Front Elect Electr Eng Chin    2009, Vol. 4 Issue (1) : 43-46    https://doi.org/10.1007/s11460-008-0027-1
Research Article
Application layer multicast routing solution based on genetic algorithms
Peng CHENG(), Qiufeng WU, Qionghai DAI
Department of Automation, Tsinghua University
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Abstract

Application layer multicast routing is a multi-objective optimization problem. Three routing constraints, tree's cost, tree's balance and network layer load distribution are analyzed in this paper. The three fitness functions are used to evaluate a multicast tree on the three indexes respectively and one general fitness function is generated. A novel approach based on genetic algorithms is proposed. Numerical simulations show that, compared with geometrical routing rules, the proposed algorithm improve all three indexes, especially on cost and network layer load distribution indexes.

Keywords multicast      application layer multicast      genetic algorithms      multicast routing     
Corresponding Author(s): CHENG Peng,Email:chengpeng00@mails.tsinghua.edu.cn   
Issue Date: 05 March 2009
 Cite this article:   
Peng CHENG,Qiufeng WU,Qionghai DAI. Application layer multicast routing solution based on genetic algorithms[J]. Front Elect Electr Eng Chin, 2009, 4(1): 43-46.
 URL:  
https://academic.hep.com.cn/fee/EN/10.1007/s11460-008-0027-1
https://academic.hep.com.cn/fee/EN/Y2009/V4/I1/43
Fig0  Effects of and on the outputs
algorithmcost fitnessbalance fitnessstress fitness
ALMR-GA0.88260.99900.9250
CR0.84730.75250
ALMI0.79400.60000.7500
Tab0  Comparison of average output fitness value of three ALM routing algorithms
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