| Publisher | Xian Jiaotong University | ||
|---|---|---|---|
| Format | 158.7KB PDF | Date added | 01 Jul 2006 |
| Topics | Load Balancing | ||
| Downloads | 24 | ||
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 algorithm carries on the entire spatial parallel search which concentrates on the high performance parts in order to improve the efficiencies and robustness of the search with no restriction to the optimization objective function. 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).
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