Weapon-target assignment (WTA) is the core content of joint fire strike operational planning, so the optimization of weapon-target distribution of joint fire strike is studied. A multi-objective constrained optimization model of weapon-target allocation is established, in which the constraint factors such as the damage capability and number of weapon platforms and the characteristics of targets are comprehensively considered, and the maximization of the expected strike value income and the minimization of the strike cost are taken as the optimization objectives; The discrete binary particle swarm optimization (BPSO) algorithm is used to solve the problem, and the ideal optimization scheme of weapon-target assignment for joint fire strike is obtained. The results show that the research can provide a reference for building a more reasonable optimization model of weapon-target assignment and designing a more efficient intelligent algorithm.