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

摘要

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).