DocumentCode :
532808
Title :
Improved anycast QoS routing algorithm based on genetic algorithm
Author :
Rui, Shi ; Shi-Lei, Shen ; Chen-Xi, Bai ; Xin, He
Author_Institution :
Comput. Center, Henan Univ., Kaifeng, China
Volume :
14
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
To overcome the problem of tending to converge to part in anycast QoS routing algorithm based on genetic algorithm, the paper proposes a new improved anycast QoS routing algorithm based on genetic algorithm which adopts the idea of dissimilarity and the theory of simulated annealing. The result of the simulation shows that this algorithm has a good ability of global search, and it can also efficiently and quickly find a set of low-cost paths with delay constraint. By comparing the simulation data to prove that the algorithm has a faster convergence rate, and improved the success rate of finding the optimal solution.
Keywords :
convergence; genetic algorithms; quality of service; simulated annealing; telecommunication network routing; QoS routing algorithm; convergence rate; genetic algorithm; simulated annealing; simulation data; Artificial intelligence; Quality of service; Anycast; Genetic Algorithm; QoS; dissimilarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5622359
Filename :
5622359
Link To Document :
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