Based on the Ant-agent algorithm, this paper presents a loading and unloading simulation application that uses intelligent optimization technology to improve the operational efficiency of container terminal yards. The Ant-agent algorithm simulates the behavior of ants in search of food, and optimizes the AGV scheduling and other decisions of the container yard by simulating the way ants release pheromones in the search path. This method considers multiple factors such as loading and unloading time, AGV waiting time, equipment utilization, etc., and optimizes with the goal of minimizing the overall loading and unloading time or maximizing the utilization of terminal resources. This simulation application guides the study of container yard decision-making and scheduling arrangements by simulating the AGV container loading process and the whole process of terminal loading and unloading. This method based on the Ant-agent algorithm can not only improve the operational efficiency of container terminals, but also reduce energy consumption and carbon emissions. It has important practical application significance for modern port management and decision-making research and teaching.