Research on Route Planning Model of Green Agricultural Cold Chain Logistics Based on Improved Ant Colony Algorithm

The improved ant colony algorithm has been widely used. In this paper, combined with the green agricultural product cold path system, the quality, identification and temperature of agricultural products are monitored in real time, and the efficiency and accuracy of storage and transportation are greatly improved. Then, by considering time, fuel consumption, fines and other indicators, can ensure the cost of goods and freshness of goods. The transfer rule is improved and the influence function of time heuristic factor is introduced. The goal is to quickly find the optimal transport route under complex transport conditions in terms of solving path planning. The limitations of ant pheromone collection, initial solution construction, path selection and pheromone updating were studied. Finally, MATLAB software and improved ant colony algorithm are used to verify the transportation process. The feasibility of this method is proved by comparing with the basic ant colony algorithm. The hybrid heuristic algorithm is also studied. By changing the pheromone updating rules in the algorithm, the ant colony algorithm is easy to fall into the local optimal solution in the search process. Finally, the effectiveness of the algorithm is verified by software.