Genetic Algorithm for Designing DWDM Optical Networks under Demand Uncertainty

摘要

Delivery of the required QoS in IP-over-DWDM networks would face uncertain environment capacity problems due to demand variations over different periods of network operation. Therefore, future demand uncertainties should be considered in planning DWDM transport backbones for capacity sensitive telecommunication applications with enhanced quality of service. This paper, presents a genetic algorithm optimization approach for designing robust optical cores by solving the routing and wavelength assignment problem for different demand conditions. This improves the network performance in stochastic uncertain demand environments. The simulation results demonstrate the effectiveness of genetic algorithm for optimization robust optical bandwidth planning against uncertainties.