Research On Location Of Urban Terminal Distribution Network Based On Cellular Automata

The city logistics terminals(CLTs)location is not scientific at present and location decision is done by experience.This is not a scientific basis to guide it.And academic research mainly concentrated in the city distribution center location research,rather than terminal nodes closed to customers.Reasonable location of CLTs could save enterprise cost and increase customer satisfaction,so to research CLTs network layout optimization has theoretical significance and practical significance.This paper firstly introduces the background,significance and current research status of urban terminal network layout and optimization,and the shortcoming of the current location methods are also pointed out.There are a number of logistics terminal distribution of the theoretical methods,such as gravity method,linear programming,and so on,have not taken into account the specific conditions of the city,so the existing methods have certain limitations in practical use.Aim at the shortcomings of the existing research,this paper proposes a method of location selection combining cellular automata with genetic algorithms.Secondly the related theoretical methods the urban terminal node location and cellular automata theory are elaborated.The influencing factors,location principle and location steps of the CLTs location are summarized.And the optimization model of this paper is put forward on this basis.Then,the paper analyzes and discusses the income factors and cost factors of nodes to establishes the evaluation index system of the urban terminal node.The genetic algorithm is adopted to solve the proposed optimization model.Finally,the validity and feasibility of the model are proved by the example of Yun Da express in Yanji city.