| With the continuous improvement of people’s living standards,the safety and quality of food have attracted more and more attention from consumers.Fresh agricultural products such as fruits and vegetables account for an increasing proportion in people’s daily consumption.More and more consumers are willing to buy fresh products with better quality,which also drives the rapid development of the cold chain logistics industry,and also has an impact on the environment.In 2020,China put forward the "double carbon" goal,and put forward specific goals and requirements on environmental protection and energy conservation and emission reduction.Compared with ordinary logistics transportation,cold chain logistics transportation has higher carbon emissions,so controlling carbon emissions in cold chain logistics transportation is conducive to the realization of the "double carbon" goal.Under the demand of developing low-carbon economy,cold chain logistics companies should pay attention to environmental protection and reduce carbon dioxide emissions,on the other hand,the freshness of fresh products directly determines customer satisfaction,because in today’s fierce market competition,enterprises must also pay attention to the freshness of fresh products to obtain better service development.As an important issue in the field of logistics optimization,the vehicle routing problem can save costs for logistics enterprises,reduce carbon emissions and achieve energy conservation and emission reduction by reasonably arranging the transportation routes of distribution vehicles.The study of cold chain logistics vehicle routing problem under the background of low-carbon economy is of great significance for achieving the "double carbon" goal and developing low-carbon economy.Based on the existing research results of vehicle routing problem and China’s low-carbon economy,this paper studies the cold chain logistics vehicle routing problem in the context of low-carbon economy from the perspectives of traditional fuel vehicles and new energy pure electric vehicles.First of all,extensive review of relevant literature at home and abroad to understand the current research status of vehicle routing issues related to carbon emissions,and provide theoretical basis for the subsequent research on cold chain logistics vehicle routing issues in the context of low-carbon economy.Secondly,the cold chain logistics of fresh agricultural products,the vehicle routing problem and the method to solve the problem involved in the cold chain logistics route distribution of fresh agricultural products under the background of low-carbon economy are generally introduced.Thirdly,the cold chain logistics vehicle routing problem considering carbon emissions and freshness is proposed,and the adaptive chaos ant colony algorithm is used to solve the cold chain logistics problem considering carbon emissions and freshness;By establishing an objective function based on the freshness of agricultural products and the operating cost,considering the calculation method of carbon emissions,and analyzing the fixed cost,temperature maintenance cost,penalty cost and green cost,a cold chain logistics vehicle path optimization model considering carbon emissions and freshness is constructed;Based on the basic ant colony algorithm,the heuristic factors of total cost and total product loss are set,the pheromone concentration and the heuristic factors are given different importance,the adaptive dynamic transfer probability is designed,and the chaotic system is used to improve the pheromone update to form the adaptive chaotic ant colony algorithm;The improved ant colony algorithm is used to solve the constructed model,and the Solomon data set is used to simulate the vehicle distribution.Then,the cold chain logistics vehicle routing problem based on the electric vehicle is proposed.The ant colony-variable neighborhood search algorithm is used to solve the cold chain logistics vehicle routing problem based on the electric vehicle;By analyzing the power consumption process of electric refrigerated vehicles,the power consumption cost in the logistics distribution process is obtained,and the penalty cost and cargo damage cost are considered,and the optimization model is built with the total cost as the optimization objective;Based on the basic ant colony algorithm and combined with the variable neighborhood search algorithm,the dynamic transfer probability and pheromone update strategy of the ant colony algorithm are designed,and three neighborhood search methods are used for local optimization to form the ant colony-variable neighborhood search algorithm;Use this algorithm to solve the built model,and use Solomon data set to simulate vehicle distribution.Finally,summarize the full text,and analyze the problems in the research process of the article.This study enriches the relevant theories of cold chain logistics research,and fills the blank of logistics distribution optimization of electric refrigerator trucks.The research on cold chain logistics vehicle distribution in the context of lowcarbon economy can reduce the overall cost of enterprise operation by optimizing the vehicle planning and arrangement of logistics enterprises.Study the cold-chain logistics distribution problem considering the impact of carbon emissions and the freshness of products at the same time,and take the average freshness cost as the goal to make the vehicle distribution route meet the requirements of energy conservation and emission reduction,and the high freshness of products delivered to customers is also in line with the interests of consumers,improving customers’ satisfaction with logistics enterprises and enhancing their market competitiveness;The research on vehicle routing optimization based on the cold chain logistics of electric vehicles can provide enterprises with a variety of distribution vehicle configuration schemes.At the same time,electric vehicles have no fuel consumption,achieving the purpose of energy conservation and emission reduction,which is conducive to China’s better development of low-carbon economy and achieving the "double carbon" goal. |