Resource Allocation and Route Optimization of Shipping Vessels Based on Intelligent Scheduling Algorithm and Data Analysis

In the current era of globalization, import and export trade is closely related to shipping, and routes across major rivers and even oceans are constantly being developed to transport the materials needed by different countries and regions. These shipping transportation not only meet the needs of various places, but also bring practitioners a lot of income, but in order to further improve the efficiency of transportation, reasonable allocation of ship resources and transportation routes are the main research direction. Therefore, in order to meet this demand, this paper proposes to use intelligent scheduling model to solve scheduling and path planning problems, and the model needs to use NSGA-II (Non-dominated Sorting Genetic Algorithm II, a multi-objective optimization algorithm) to carry out. Finally, through the comparative experiment of transportation time, the average transportation time of intelligent scheduling system is 11.89h, while the average transportation time of basic scheduling system is as high as 15.10h. By comparing with the basic scheduling system, this paper finds that the scheduling system based on intelligent scheduling algorithm can significantly reduce the transportation time and improve the transportation efficiency.