Node layout plans for urban underground logistics systems based on heuristic Bat algorithm

This paper qualitatively classifies the nodes of logistics system as logistics center and distribution center. For planning a logistics center, the requirement of each demand point is considered with a set covering model. Concerning the planning of distribution center, 0–1 mixed integer programming model is constructed to minimize the total logistics costs which include construction, fixed, and distribution costs. This paper introduces the principle and advantages of Bat-inspired Algorithm in a detailed manner. The urban underground logistics system within the central ring road of Shanghai is taken as an example and MATLAB is applied. It is proved that the improved Bat-inspired Algorithm converges faster than the basic Bat-inspired Algorithm and can find the optimal solution more quickly. This paper provides theoretical basis for further study of the urban underground logistics system.