Optimizing Fresh Logistics Distribution Route Based on Improved Ant Colony Algorithm

With the rapid development of the fresh cold chain logistics distribution and the prevalence of low carbon concept, this paper proposed an optimization model of low carbon fresh cold chain logistics distribution route considering customer satisfaction, and combined with time, space, weight, distribution rules and other constraints to optimize the distribution model. At the same time, transportation cost, penalty cost, overloading cost, carbon tax cost and customer satisfaction were considered as the components of the objective function, and the thought of cost efficiency was taken into account, so as to establish a distribution model based on the ratio of minimum total cost to maximum satisfaction as the objective function. Then, the improved A(*) algorithm and ant colony algorithm were used to construct the model solution. Through the simulation analysis results of different calculation examples, the effectiveness, efficiency and correctness of the design of the single target low-carbon fresh agricultural products cold chain model by using the improved ant colony algorithm were verified.