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

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load balancing

Overview 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).

Further White Paper Details
Publisher	Xian Jiaotong University	File Format	PDF
Date Published	July 2006
Format	White Papers
Topics	Load Balancing

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