Abstract: This study explores optimizing the Traveling Salesman Problem (TSP) using Q-Learning reinforcement learning. The proposed method builds a Q-table to learn the optimal path and employs ...

1 State Grid Jiangxi Electric Power Co., Ltd., Nanchang, China 2 State Key Laboratory of Advanced Electromagnetic Technology, Huazhong University of Science and Technology, Wuhan, China Large-scale ...

Abstract: Traveling salesman problem (TSP) is studied as a combinatorial optimization problem—a problem that attempts to determine an optimal object from a finite set of objects—which is simple to ...

The program reads the graph data from the file v6.txt, computes the optimal route for the Traveling Salesman Problem, and outputs the minimum cost and the sequence of vertices representing the optimal ...

ABSTRACT: Due to the effects of the COVID-19 pandemic and the rise of online shopping, the offline sales of IKEA Fuzhou have been declining since 2020. Because the cost of distribution warehouse is a ...

A project developed as the final project for Parallel Programming Class. The two primary concepts are the Travelling Salesman Problem (TSP) & Ant Colony Optimization (ACO). TSP involves traversing all ...