Research on logistics optimization and development strategy of e-commerce platform based on NSGA-II

With the rapid development of the e-commerce industry, logistics has become an indispensable key link on the e-commerce platform. However, the current logistics scheme has problems such as low efficiency and high cost, which need to be optimized and improved. To solve these problems, this study proposes a logistics optimization method based on NSGA-II. First, we established a mathematical model of the logistics system of the e-commerce platform, taking into account various key factors, including order quantity, commodity category, transportation distance, etc. Then, we use the NSGA-II algorithm for multi-objective optimization with the goal of maximizing logistics efficiency and minimizing costs. In the experimental part, we conduct simulation experiments based on a real e-commerce platform dataset, and the results show that the optimization method based on NSGA-II can significantly improve logistics efficiency, reduce costs, and achieve a balance among multiple objectives. This study proposes a logistics optimization method for e-commerce platforms based on NSGA-II, which is of great significance for improving the logistics efficiency and development of ecommerce platforms.