Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks

We propose an evolutionary transfer learning approach for QoT estimation in multi-domain optical networks. The results demonstrate that our approach can reduce the amounts of required training data by 10× while achieving accuracies of > 90%.