Traffic Grooming in All Optical Network Based on Adaptive Immune Evolutionary Algorithm

摘要

This paper investigates the theory and process of Adaptive Immune Evolutionary Algorithm (AIEA), uses the AIEA to solve the problem of traffic-grooming in All Optical Network (AON). The result shows that the AIEA can be used in arbitrary topology and arbitrary traffic model of AON. Besides, the AIEA has more traffic-grooming ability in complex topology with more nodes than the one with fewer nodes. What's more, the algorithm has advantage in convergence than other algorithms. The result shows the AIEA has effective resource utilization, quick convergence ability, which used in arbitrary topology and traffic matrix of the network.