Aiming at the cooperative search problem of UAV swarm under limited communication bandwidth and considering the existence of threat areas in the battlefield environment,an optimized search algorithm for distributed multi-UAV intention interaction is proposed.Firstly,based on the designed environmental situation map,the environment state model and the update method are built.Secondly,the search reward function under multiple step sizes is defined to obtain the decision-making intention of each UAV.Then,the fusion update operator and the dynamic communication topology under limited bandwidth are designed to realize the intention interaction among multiple UAVs.Finally,decision-making is conducted on the basis of obtaining the intentions of other UAVs.The simulation results show that the proposed algorithm can complete the full-coverage cooperative search task of multiple UAVs under the condition of limited communication bandwidth,and realize the avoidance of the threat areas.