An improved ACO algorithm to optimize the agricultural commodity distribution routing under BtoC environment

With the rapid development of electronic commerce, the logistics distribution system brings to the widespread attention. And the agricultural commodity distribution routing (ACDR) optimization is playing the very important role in the agricultural industry. This paper proposed the ant colony optimization (ACO) algorithm to optimize the agricultural commodity distribution routing effectively, which uses the ACO advantages of the concurrency, the positive feedback and the higher solving precision to find the exact solution. The results of simulation experiment show that the optimization algorithm has superior global seeking optimization ability and the rapid convergence rate. The method is quick and effective to optimize the agricultural commodity distribution routing problem.