Abstract:

In view of the target allocation in multi-cooperative air-to-ground attack and its characteristics, a matrix binary particle swarm optimization based on improved binary particle swarm optimization is proposed for the target allocation in multi-cooperative air-to-ground attack. First of all, a model of target allocation is established using contrasting damage proceeds with viability wastage during multi-cooperative air-to-ground attack, and then the mapping of measure to allocation matrix, namely the matrix particles, is set up based on the restriction characteristics of this model. At last, a new update strategy for the position of particles is designed according to the style of the particle. The simulation results show that the matrix binary particle swarm optimization can find more preferably measure of target allocation rapidly，and the effectiveness of the measure can meet the requirements of restrict.