Shuhan Kou

The application of machine learning models to optimal TSP tour length estimation

This paper introduces a machine learning‐based approach to estimate the optimal tour length of the TSP, using linear regression, random forests, and neural networks, including Kolmogorov–Arnold networks (KANs), revealing that KAN models generalize remarkably well, while RF requires representative training examples from...