DocumentCode
1984744
Title
A Study of Link Load Balancing Based on Improved Genetic Algorithm
Author
Li Zhao ; Yu-min Dong ; Chen-yang Huang
Author_Institution
Comput. Dept., Qingdao Technol. Univ., Qingdao, China
Volume
2
fYear
2013
fDate
28-29 Oct. 2013
Firstpage
277
Lastpage
280
Abstract
Load balancing technology can solve the network congestion problems of modern network which is caused by uneven distribution of traffic. As the network link load balancing is an NP-complete problem, it is difficult to use traditional method to deal with, introducing the idea of genetic algorithm. Using genetic algorithm, the characteristics of efficient and parallel can help to find the global optimal solution quickly. Article on the basis of traditional genetic algorithm, this paper puts forward a network link load balancing strategy based on improved genetic algorithm. Experiments show that it can find the answer to the problem better.
Keywords
genetic algorithms; resource allocation; telecommunication traffic; NP-complete problem; global optimal solution; improved genetic algorithm; network congestion problem; network link load balancing strategy; uneven traffic distribution; Biological cells; Delays; Encoding; Genetic algorithms; Load management; Sociology; Statistics; genetic algorithms; load balancing; optimization; the network link;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
Conference_Location
Hangzhou
Type
conf
DOI
10.1109/ISCID.2013.183
Filename
6804882
Link To Document