Vehicle Routing Problem Solution Using MATLAB
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Resource Overview
Detailed Documentation
This code is implemented in MATLAB to solve vehicle routing problems using ant colony optimization (ACO) algorithm. The ant colony optimization algorithm is specifically designed for logistics distribution path problems, simulating ant foraging behavior where artificial ants communicate through pheromone trails to find optimal paths. The implementation includes key functions for path construction, pheromone update, and solution evaluation. Users can quickly identify optimal vehicle routes through parameter configuration and iterative optimization, significantly improving logistics distribution efficiency. The code structure features modular design with separate functions for distance calculation, ant movement simulation, and global-best solution tracking.
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