Optimization of Logistics Distribution Route Based on Ant Colony Algorithm – Taking Nantian Logistics as an Example

Abstract

The continuous development of social economy and the people’s growing yearning for a better life have promoted the rapid development of e-commerce, and urban distribution business has become increasingly important. Urban distribution is also faced with relatively complex task requirements, such as short time window, strict requirements, complex road conditions, high frequency of tasks, etc. Choosing the right path has become the key issue to improve distribution efficiency. Aiming at the problems encountered in the distribution of urban distribution routes, the paper uses ant colony algorithm to analyze and optimize the distribution routes, and uses MATLAB programming to solve the optimized distribution scheme. By comparing the data before and after optimization, it is found that the logistics transportation cost is effectively reduced, and the logistics transportation resources are saved, which proves the feasibility of the algorithm, and provides a certain reference for improving the efficiency of urban distribution and reducing the distribution cost.