Study Of Urban Logistics Distribution Routing Optimization With Improved Simulated Annealing Algorithm

With the rapid growth of urban economy,the construction of urban logistics distribution system plays an irreplaceable role in the process of urban development.A complete logistics distribution system can not only promote the overall economic benefits of the city,but also effectively promote the healthy and rapid development of the city.In the urban logistics distribution,the path optimization research is one of the key links to ensure the scientific development of urban logistics distribution.It is of theoretical and practical significance to study the optimization of urban logistics distribution route to optimize the allocation of resources in cities,improve the economic efficiency of enterprises,and solve urban traffic congestion.The vehicle routing problem in the process of urban logistics distribution is studied,a mathematical model of multi-objective vehicle routing problem with the shortest total mileage of vehicle delivery is built and this problem is studied and analyzed from model construction and solution method.The paper describes the vehicle path problem with time windows(VRPTW),determines the use of hard time windows to study the problem of vehicle routing,and takes the shortest total mileage of the distribution vehicle as the goal,which will solve the problem of road condition uncertainty in urban distribution.Introduce the VRPTW model to build a VRPTW model for uncertain road conditions.In view of the low efficiency of the traditional simulated annealing algorithm in solving large-scale vehicle routing problems,some improvements are proposed: ArcGIS Pro is used for data analysis and processing in the initial state determination,and the consideration of dynamic traffic conditions is added;through SPSS Cluster analysis of customer points to determine the initial state of the population;in the algorithm to increase the parallel search,judgment function,memory function.Finally,an improved simulated annealing algorithm is used to solve the VRPTW problem of uncertain road conditions and the results are analyzed.The related research of the dissertation is based on practical application considerations.The improvement of the simulated annealing algorithm is helpful for the efficient completion of urban logistics distribution route optimization.