TSP Traveling Salesman Problem Simulation

This document discusses MATLAB simulation of the Traveling Salesman Problem (TSP). The TSP represents a classic combinatorial optimization challenge where the objective is to find the shortest possible closed-path route that visits each node exactly once and returns to the origin point. In this simulation, we utilize MATLAB to generate random coordinate points that form a complete graph structure. The implementation typically involves creating distance matrices, applying optimization algorithms (such as genetic algorithms or nearest neighbor approaches), and visualizing the resulting path connections. Through this simulation, we can observe the performance of different algorithmic strategies in solving TSP instances, providing valuable insights for addressing similar real-world routing and optimization problems. Key MATLAB functions employed may include pdist for distance calculations, plot for visualization, and custom optimization routines for path selection.