Cold Chain Logistics Path Optimization Via Improved Multi-Objective Ant Colony Algorithm

In recent years,China's cold chain logistics industry has developed rapidly.Cold chain logistics can not only meet people's demand for fresh food but also minimize food loss and waste during transportation.The development of cold chain logistics is becoming more and more refined.However,due to the relatively backward development of China's cold chain logistics,the development of cold chain logistics is facing many difficulties.First of all,cold chain logistics has the characteristics of timeliness,which will cause corruption during the distribution process,requiring fresh products to be delivered to customers promptly.Secondly,many factors need to be considered in the process of cold chain logistics and distribution.With the increase in the number of customers,how to save operating costs as much as possible while satisfying consumers' good service levels has become an urgent problem for logistics enterprises to solve.Finally,cold chain logistics require that all links from production,storage,transportation,sales,and pre-consumption are always in a prescribed low-temperature environment.The operation of the cold chain is always associated with energy consumption costs,and temperature control is required.Consuming more energy is contrary to the development concept with the theme of "low carbon".Based on the above reasons,first,to change the current status of the cost minimization model widely used in the cold chain logistics distribution process,a multi-objective optimization model based on cost,carbon emissions,and customer satisfaction is proposed.Secondly,based on the particularity of the optimization model,an improved ant colony algorithm with a multi-objective heuristic function is designed to solve the problem.The improved multi-objective ant colony algorithm proposed can effectively solve the vehicle routing problem of the multi-objective optimization model.The ant colony algorithm has better performance so that more Pareto optimal solutions can be obtained.Finally,simulation experiments show that the distribution path obtained by the multi-objective model and algorithm proposed in this paper can simultaneously achieve multi-objective optimization of reducing distribution costs,reducing carbon emissions and improving customer satisfaction,and realizing a more green and environmentally friendly distribution solution.Compared with the cost-minimized single-objective model,which can only provide one kind of distribution route,multi-objective optimization can provide logistics companies with multiple distribution route options in real life.In the course of the experiment,the sensitivity analysis of temperature changes and cargo damage coefficients provides a reference for cold chain logistics companies to provide reasonable distribution and encourages logistics companies to effectively arrange work and assume more social responsibilities.Figure 42 Table 5 Reference 79...