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Title

A Genetic Optimization Algorithm to Solve the Problem of the Load-Balancing of Network Load

Author

Yongfa Ling, Deyu Meng

Citation

Vol. 6  No. 7  pp. 63-68

Abstract

An optimum genetic algorithm for balanced network load is proposed in this paper; the algorithm employs the natural number-coded and the selection crossover mutation operator. The simulation result shows that the algorithm is effective, and remarkably improves the uneven load distribution that exists in the conventional short-path algorithm (SPF).

Keywords

Traffic engineering, balanced load, genetic algorithm

URL

http://paper.ijcsns.org/07_book/200607/200607B10.pdf