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 :
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