Title :
Improvement and analysis of GA on finding QoS routing
Author :
Yufei Zhao ; Xingyu Chen
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
As is well known, quality of service (QoS) routing problem plays an important role in providing quality of service in traditional IP network To find a QoS constraints route, this paper makes a model for the problem based on specific multiple parameters and then analyzes simple genetic algorithm. Besides, fitness function is modified to gain better accuracy and classify-based idea is also bring into traditional algorithm to improve its performance. And the improved algorithm is analyzed to show its superiority.
Keywords :
IP networks; genetic algorithms; quality of service; telecommunication network routing; GA Analysis; IP network; QoS routing; fitness function; genetic algorithm; quality of service; Bandwidth; Biological cells; Delay; Encoding; Genetic algorithms; Quality of service; Routing; QoS; fitness; genetic algorithm; mutiple contraints; routing;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023990
