Abstract: In order to solve the problems of low real-time and poor rationality of the deployment strategy in the deployment optimization problem of ground air defense equipment, an innovative deployment strategy integrating digital elevation model (DEM) and artificial swarm (ABC) algorithm was proposed: the air defense efficiency was used as the evaluation index, and the DEM was used as the prior information to screen the deployment area under the premise of setting the air defense efficiency index, and then the deployment location was iteratively found through the ABC algorithm. On the one hand, the ABC algorithm is used to improve the real-time deployment strategy of ground air defense equipment, and on the other hand, the rationality of the deployment strategy is improved with the help of DEM data. Simulation results show that compared with the classical swarm intelligence optimization algorithm, the proposed strategy can effectively reduce the number of algorithm iterations and obtain a more reasonable deployment scheme.