A Company Multimodal Transportation Regional Network Optimization Research

Under the market-oriented economy,China's economy has always maintained a sustained and rapid development.Industrial transformation and upgrading have become the top priority of development.Under this background,the logistics industry has emerged and has played a certain role in the development of other industries.Support and auxiliary functions,so the development of the logistics industry has attracted much attention.How to choose a reasonable route,improve the efficiency and capacity of logistics transportation,reduce costs,and enhance safety have become the focus of industry development.Therefore,this article chooses to take company A as an example to analyze the problems in its transportation network,analyze factors,predict the amount of goods,establish a mathematical model and solve it to optimize its multimodal transportation network.The article first introduces the basic knowledge of multimodal transport networks and prediction,and outlines three commonly used heuristic algorithms.Secondly,it introduces the current status of Company A and geographic position.It is concluded that Company A can establish a hybrid hub-and-spoke network and select the appropriate forecasting method to forecast Company A's annual freight volume and daily freight volume.The research provided data support.Thirdly,analyze the problem concretely,and design two solutions for direct transportation and multi-modal transportation network in the two seasons of busy and idle;taking into account constraints such as time constraints,transit capacity delay time,and different modes of transportation,we have established The mathematical model with the smallest network transportation cost;selecting a suitable genetic algorithm and designing a genetic algorithm with gene repair to solve it.Finally,the specific data predicted in Chapter 3 is brought into the algorithm to solve,and a new multi-transport regional network is constructed.The effectiveness of the results is verified by comparison with the original network;secondly,the genetic algorithm with genetic repair is designed Compared with precise algorithm,ant colony algorithm and tabu search algorithm,the effectiveness and superiority of the algorithm are verified.Provide practical solutions for A company's logistics network.