Research on Dynamic Multi Intelligence Algorithm and Its Application in Logistics Distribution System in Post Epidemic Era

In logistics distribution systems, dynamic multi-agent algorithms can monitor and adjust the delivery process in real time, and optimize delivery paths, vehicle scheduling, and other issues based on real-time information, improving the timeliness and accuracy of logistics distribution. In terms of specific applications, using dynamic multi-agent algorithms to optimize express delivery needs to consider multiple factors, such as the number of deliveries, delivery address, weather, traffic flow, and so on. By comprehensively considering these factors, we can build a fitness function of dynamic multi intelligence algorithm, optimize the distribution scheme, and make real-time adjustments according to real-time data to achieve the optimal distribution effect. In the post pandemic era, logistics distribution systems face more severe challenges. The application of dynamic multi-agent algorithms can improve the efficiency and quality of logistics distribution, promote the digital and intelligent development of the express delivery industry, and also provide better support and guarantee for the development of the social economy. Therefore, the application of dynamic multi-agent algorithms has important significance and broad application prospects in the field of express delivery. This article aims to develop an effective method for designing and implementing dynamic multi-agent algorithms, which can serve as a tool to improve the performance of logistics distribution systems in the post pandemic era.