DocumentCode
711953
Title
One Multi-constraint QoS Routing Algorithm CGEA Based on Ant Colony System
Author
Benlai Liang ; Jiangde Yu
Author_Institution
Dept. of Comput. Eng., Zhongshan Polytech., Zhongshan, China
fYear
2015
fDate
24-26 April 2015
Firstpage
848
Lastpage
851
Abstract
CGEA (Convergence Gradients Expectation Ant algorithm) is proposed in this paper, which can get the optimal path quickly by precomputing the Convergence grads expectation of improved ant algorithm. QoS metrics of link can be measured by expectation function and the optimal path can be got efficiently by comparing the convergence grads.
Keywords
ant colony optimisation; gradient methods; quality of service; telecommunication network routing; CGEA; QoS metrics; ant colony system; convergence gradients expectation ant algorithm; multiconstraint QoS routing algorithm; Algorithm design and analysis; Computers; Convergence; Measurement; Network topology; Quality of service; Routing; Ant algorithms; Convergence gradients expectation; Multi-constraint QoS routing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4673-6849-0
Type
conf
DOI
10.1109/ICISCE.2015.193
Filename
7120733
Link To Document