Salesman Problem Solver

The Traveling Salesman Problem (TSP), a classic optimization challenge of finding the shortest route visiting all cities exactly once, is being tackled with increasingly sophisticated machine learning approaches. Current research focuses on developing novel neural network architectures, such as transformers and graph autoencoders, often incorporating reinforcement learning or ensemble methods to improve solution quality and efficiency, particularly for large-scale instances. These advancements are driving significant improvements in solving TSP and related problems, with implications for logistics, delivery route optimization, and other fields requiring efficient path planning.