With the rapid development of modern economy, logistics distribution accounts for a large part; In addition, the demand of customers is becoming more and more diversified, and customers have higher requirements on the accuracy of delivery time. Ant colony algorithm is a kind of intelligent algorithm, because it uses the positive feedback principle, the optimization speed is fast, the convergence speed of the optimal solution is relatively fast. This paper takes the logistics distribution situation of A logistics company as the research object, aims to optimize the distribution path to minimize the transportation distance. Based on the ant colony algorithm, improve the parameters of the ant colony algorithm, design a better performance algorithm, and aim at The specific problem established its mathematical model, and then through the example of MATLAB simulation to draw experimental conclusions. It shows that this scheme can optimize vehicle paths, improve delivery efficiency, and save logistics costs.
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