A Hybrid Machine Learning-Optimization Framework for Enhanced TSP Solutions
This work proposes a hybrid framework combining machine learning and traditional optimization techniques to solve the Traveling Salesman Problem efficiently, using an encoder-decoder neural network with local attention to predict near-optimal city sequences by training on smaller TSP instances.