Aiming at the fire distribution of the fire command for mixed antiaircraft group of missile and artillery, a fire distribution method for mixed antiaircraft group of missile and artillery is presented, an optimization mathematical model is established. Based on this, draw lessons from the hybrid concept of genetic algorithm, adopt Enhanced particle swarm optimization algorithm to solve the allocation model. Through the contrast in conclusion from simulator and practice, it provides that Enhanced particle swarm optimization algorithm is valid method in solving fire allocation of hybrid antiaircraft group of missile and artillery.