Vehicle Scheduling Problem Based on Ant Colony Algorithm

MATLAB implementation of vehicle scheduling optimization using ant colony algorithm with code structure and key function explanations

Solving Vehicle Routing Problem Using Matrix Ant Colony Algorithm for Vehicle Scheduling

The Vehicle Routing Problem (VRP) represents a classic NP-hard challenge where exact solutions are only feasible with limited demand points and route segments. Generally, obtaining global optimal or satisfactory solutions proves difficult. This approach utilizes Matrix Ant Colony Optimization, which implements pheromone-based path selection mechanisms through matrix operations for efficient route optimization.