Research on Terminal Optimizing Distribution Route of Fresh Food E-commerce Cold Chain Logistics Based on Time Window Constraints

With the rapid development of e-commerce in recent years, fresh food e-commerce is more and more popular with consumers. However, the cold-chain distribution of fresh agricultural products is still facing many problems, such as high cost of distribution, untimely distribution and so on. In order to reduce the terminal logistics distribution cost of fresh food ecommerce and improve consumer satisfaction, Taking the lowest total economic cost as the objective function, and uses genetic algorithm based on time window constraints to optimize the terminal distribution route of fresh food e-commerce's cold-chain logistics. And verified the effectiveness of the method by taking the community distribution in Jingkou District of Zhenjiang City as an example.