As the process of operational support on the antimissile guided missile is complicated, it is very hard to configure and optimize the operational support equipment. The model of configuring and optimizing the operational support equipment was created in this study, based on the requirement of the mission and the character of use support. The model is a NP-hard problem, so the improved particle swarm optimization (PSO) was adopted to solve the problem. In the algorithm proposed, the way of swarm moved was changed from liner mode to non-liner mode so that the algorithm is more efficient. The shift vector representation was first used to code the solution and a new heuristic algorithm to repair the swarm was designed, which makes it simpler to solve the model. Finally, an instance was given and the comparative experiments were designed. The results show that the method proposed can solve the problem of configuring and optimizing the operational support equipment of the antimissile guided missile. Furthermore, it is valuable to solve the other problem of optimizing the resource.