In the soft hard collaborative combat mode of the air defense system， it is of great significance to reasonably and efficiently allocate targets for the coordinated interception of soft and hard killing equipment. This paper proposes a method for allocating targets for hard and soft killing weapon target assignment based on hybrid particle swarm optimization. The optimization indicators corresponding to the soft hard collaborative interception problem are analyzed. The comprehensive interception efficiency index of the target is integrated by using the shooting advantage of hard killing equipment and the interference advantage indicators such as suppression， frequency， and angle of soft killing equipment. The advantages of traditional particle swarm algorithm and genetic algorithm are combined， and an improved hybrid particle swarm algorithm is adopted. A coding structure suitable for simultaneous allocation of soft and hard equipment and a particle generation guidance operation that accelerates algorithm convergence are designed. The simulation results show that in the field fixed position air defense scenario， the hybrid particle swarm algorithm can quickly obtain the optimal target allocation scheme. Compared with traditional algorithms， the comprehensive interception efficiency of targets is significantly improved， and it has certain engineering application value in air defense command and control systems.