A kind of antiaircraft weapon-target optimal assignment under earlier damage principle

In antiaircraft weapon-target assignment, damage time could be delayed under maximum damage principle with firepower resources constraint, when firepower resources are sufficient. To cope with the disadvantage, a new weapon-target assignment model under earlier damage is proposed. In the new model targets with high target threat are firstly assigned to a few weapons, which can damage these targets as early as possible, and the damage probability is greater than the preset threshold. That is to say, by using flying time from target to weapon, the damage time is considered except damage probability and firepower resources, and serious and earlier damage with fewer firepower resources can be achieved at the same time. Based on the new model, a mixed chaos and discrete particle swarm optimization (CDPSO) algorithm is presented to solve the weapon-target assignment problem. The proposed algorithm improves the seeking ability for the global optimal solution, so that the local extremum is avoided. Simulation results show the advantage of the new weapon-target assignment model, as well as the effectiveness and the superiority of the proposed mixed optimization algorithm.