Research Of Underground Logistics Network Layout Based On Multi-objective

The rapid development of modern logistics connects production and consumption,integrates transportation,storage,distribution,information and other service functions,and plays a leading and strategic role in the construction of a modern economic system.However,the rapid development of the logistics industry also brings various problems.The development of technology greatly increases the possibility of developing underground space and building underground logistics system.Scholars have found in the research of underground logistics system that the construction of urban underground logistics system can effectively solve the problems such as traffic congestion and environmental deterioration.At present,we are actively exploring application research of underground logistics systems,therefore,this paper combined with the previous discussion and actual case to carry out the study of underground logistics system,based on the analysis of urban underground logistics system,put forward for the underground logistics system node location and path planning method.The main work is as follows:Firstly,this paper summarizes the related research of underground logistics system,introduces the relevant theories,and determines the process and methods used to construct of underground logistics networks in this paper.Based on the theory and principle of node location selection,the factors affecting the location of the transfer center of underground logistics are analyzed,the evaluation index system of node primary selection is established,and the entropy weight method and ideal solution to preliminarily exclude some candidate nodes.The twoobjective decision model with high degree of improvement and low construction cost is constructed,the immune genetic algorithm is selected to solve the model,so as to obtain the transport nodes.Second,based on the transport node and demand point,form the underground logistics system network,optimize the network distribution path,given assumptions and constraints,build with transportation cost and time cost for the target function of double target planning model,using the Floyd algorithm solution,finally get the underground logistics network.Finally,this paper applies and verifies the established model based on the selected cases.Collect data and deal it,determine the index weight,according to the relative closeness to the optimal sample preliminary get node,using the immune genetic algorithm to determine the transport center,on the basis of the path optimization network,compared with the model solution path data,prove that the content of this paper has certain value,summarizes the shortcomings of research and future research direction.