In order to improve the allocation efficiency of multi-UAV dynamic reconnaissance, and to better meet the real-time requirements of modern warfare for multi-UAV dynamic reconnaissance, a model for multi-UAV dynamic reconnaissance resource allocation of multiple UAVs is established.The model transforms the dynamic task allocation problem into a multi-stage static allocation problem, and updates the initial state of the static allocation problem of each stage by using the status updating method, so as to improve the overall allocation efficiency.The improved artificial bee colony algorithm is used to solve the model, and the bidirectional evolution is used to increase the diversity of the population at the stage of selecting the honey source, which improves the optimization ability of the algorithm.The simulation results show that the dynamic reconnaissance resource allocation model has the advantages of high reconnaissance efficiency and strong endurance compared with the traditional static allocation model, and is more suitable for large-scale UAV cluster operations.