摘要：Based on the concept of green logistics development,in order for companies to seek a win-win situation between the economy and the environment,this article integrates the cold chain logistics cost of fresh agricultural products from a low-carbon perspective into the path optimization problem and establishes a mathematical model of cold chain logistics path optimization of agricultural products Internet of Things with the minimum total cost as the research goal.First,a cold chain logistics vehicle path model including the fixed costs of cold chain distribution services,transportation costs,cargo damage costs,refrigeration costs,time penalty costs,carbon emissions costs,and IoT usage costs is established.Secondly,this paper uses the global convergence of the A* algorithm to combine with the ant colony algorithm,the initial pheromone,and uses the wolf colony algorithm principle to improve the pheromone in the ant colony algorithm to avoid falling into the local optimum.he improved ant colony algorithm is used to solve the optimal vehicle path of cold chain logistics.Finally,the simulation results show that the total cost of the cold chain logistics vehicle distribution without joint distribution is 6085.5 yuan,and the total transportation cost under the common distribution mode is 5740.7 yuan,and the total transportation cost is reduced by 6.01%.Compared with the genetic algorithm and the standard ant colony algorithm,the algorithm in this paper can improve the quality of the solution and the convergence speed of the algorithm,and can be applied to cold chain logistics and distribution.
