Author(s)

Zhitan Feng, Juan Du

Corresponding Author

Zhitan Feng

Abstract

In recent years, driven by the maturity of the Internet and the continuous prosperity of the market economy, the e-commerce logistics industry has developed very well, which also affects the business model and philosophy of the whole society. Of course, there are still many problems in the distribution of e-commerce logistics, especially in the rural logistics industry. Optimizing the distribution path as a difficulty problem, it is only possible to get the optimal solution when the customer and the path are few, and the heuristic algorithm becomes the basic direction to solve the problem. The genetic algorithm is one of the good ones. The tool, which draws on biological natural selection and genetics, and uses a random search method, has almost no restrictions on the search space, and can perform fast searches in complex spaces. In this paper, Houbai Town rural e-commerce logistics is taken as an example, and a more suitable distribution mode is proposed. The genetic algorithm is used to solve the problem of optimization of the distribution path between stations in the distribution mode.

Keywords

Rural e-commerce logistics; distribution model; genetic algorithm