Ya-Hui Jia

Decoupled Training Neural Solver for Dynamic Traveling Salesman Problem

Deep reinforcement learning (DRL) methods have achieved remarkable success in solving static traveling salesman problems (TSP). However, dynamic TSP (DTSP), with the random appearance of new customers over time, introduces additional complexities that challenge DRL methods by the difficulty of obtai