Functional Areas Layout in Logistics Park Combining Traffic Organization by Genetic Algorithm and Fuzzy Clustering

The functional areas layout and the organization of the traffic will influence with each other in logistics park. In this paper, the author studies the method to combine the layout of the functional areas with organization of the traffic so as to make the layout more practical. Firstly, the model for functional areas layout design is established, which is based on traffic organization. Secondly, the solution algorithm is proposed, which includes three parts. The first part is fuzzy clustering analysis which is used to cluster functional areas so as to determine the traffic network factors. The second part is genetic algorithm for layout problem at the functional areas, the author uses three parts of codes to construct the chromosome encoding, which are code for the area, cutting code and sequence code. The third part is traffic organization, compared with genetic algorithm and CPLEX, the author selects shortest path distance for calculation to speed the calculation speed. And CPLEX would be used to calculate the actual distance after the final layout is obtained. Finally, the model and algorithm are applied in the Lianyungang Port Logistics Park to verify the feasibility. Compared with the base layout, the truck distance can be reduced by 13.8%.