Aimed at the problems that the deployment of ground-based anti-aircraft fire interception equipment is slow at speed and the deployment scheme does not conform to the actual environment of the battlefield,a deployment method of ground-based air defense intercept systems by using simplified artificial bee colony algorithm is proposed. In this method, in the process of formulating the deployment scheme of ground-based anti-aircraft fire interception equipment, the artificial bee colony algorithm is divided into an initialization stage and an optimization stage. In perspective of expert knowledge assistance, the initialization stage is intended to utilize the expert knowledge for optimizing the deployable location in combination with random initialization, and the optimization stage is intended to utilize the simplified neighborhood optimization for optimizing the scheme generated in the initialization stage. The resulting deployment schemeis verified in both stages, and the output is directly saved if the scheme reaches the given penetration probability index, greatly improving the convergence speed, and the resulted deployment scheme is realistic.The simulation results show that the proposed method has obvious advantages over the traditional bee colony algorithm at convergence speed, and can conform well to the battlefield environment.