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