Research On Vehicle Path Planning For Multi-objective Cold Chain Logistics Of Agricultural Products

China has a long-standing culture of a large agricultural production country,but the idea of paying attention to production and ignoring circulation restricts the development process of agriculture,resulting in the development of agriculture lagging behind some developed countries.With the advancement of society,the quality requirements and demand for agricultural products are also increasing,and higher standards are put forward for the distribution of agricultural products,Explore on the planning of vehicle distribution path of agricultural products has become an effective method to solve the insufficient of agriculture,rural areas and farmers.Based on the unique characteristics of agricultural products,reasonably planning the vehicle distribution path scheme of cold chain logistics can not only effectively shorten the distribution time and mileage,but also should make sure the product fresh of agricultural products to the greatest extent,which plays a significant role in improving customer satisfaction and provides guidance for enterprises to improve market competitiveness.Therefore,the research on how to plan the logistics path of agricultural Cold Chain vehicles has great practical significance and research value for agricultural development.Work done in this paper:(1)Firstly,the research status of vehicle path planning of agricultural cold chain logistics is analyzed,and the multi-objective agricultural product path planning is determined as the research content.(2)Combing the relevant professional theories of agricultural cold chain logistics and vehicle routing planning,based on the theory and through reasonable conditional assumptions,this paper constructs a multi-objective function of cold chain logistics vehicle routing planning model with the lowest total distribution cost and the highest customer satisfaction value.Considering the perishable characteristics of agricultural products and the actual delivery process,the fixed cost,transportation cost,cargo damage cost,refrigeration cost and punishment cost are regarded as the five parts of the total distribution cost.(3)Given an example,genetic algorithm and NSGA?? algorithm,compare the differences between the two algorithms,select MATLAB R2018 b software to write the program code of the algorithm solution process,and realize the solution of the created multi-objective model through operation.(4)Analyzing the solution results and comparing the strong points and weak points of the two algorithms in solving the multi-objective cold chain distribution vehicle routing problem,it is concluded that the analysis of multi-objective routing problem,NSGA?? algorithm is more reasonable than genetic algorithm and can get a better solution.