Is Machine Learning Suitable for Solving RWA Problems in Optical Networks?

We show that classical supervised Machine Learning techniques, after trained with a large number of optimal RWA configurations solved via ILP, can rapidly procure the most appropriate RWA configuration to be applied for a new traffic matrix.