The Research of Vehicle Routing Optimization in Logistics Distribution Based on Improved Ant Colony Algorithm

Ant colony algorithm is a novel with algorithm simulated evolutionary which is inspired by foraging behavior of ant colony in nature. Because ant colony algorithm has many advantages, it is suitable for logistics distribution. But ant colony algorithm searching time is long, easy to be in stagnation and in local minimal. For lack of ant colony algorithm, improvements of selection probability, visibility and information update strategies are optimized in this paper. The simulation shows that the improved algorithm has better searching ability and higher computing efficiency that could the problem between accelerating convergence and stagnation. The improvement of logistics distribution is remarkable.