Research on Planning Method of E-commerce L1ogistics Distribution Center Based on Genetic Algorithm

The location of logistics distribution center (LDC) in e-business environment is complicated and involves many factors. According to the characteristics of logistics distribution, the variable cost and time constraint of distribution center location model are modified, and a more reasonable location model of LDC suitable for e-business environment is established. Because the location model is NPhard, heuristic genetic algorithm (GA) is used to solve it. In the former e-business enterprises, the logistics vehicle route problem has become the focus of attention and research. Aiming at the particularity of distribution in e-business environment, this paper combines GA with saving algorithm, and analyzes its application value in e-business logistics distribution route optimization. In this study, the simulation results show that the saving GA is more globally optimal than the GA, and its effect of finding the shortest path is more remarkable. With the increase of evolutionary algebra, the two algorithms tend to be more and more optimal. The evolutionary starting point of economical GA is much higher than that of GA, and its optimal value is better than that of GA. Saving the evolution algebra and population size in GA has certain influence on the performance of the algorithm; The maximum running distance of trucks is different from that of trucks with and without distance restrictions.