An improved artificial immune algorithm for solving weapon-target assignment problem

The threat from aerial targets to ships is more and more serious. To optimally assign targets is essential to accelerate the operational capability in multi-targets context for the ship-to-air missile weapon system. An improved artificial immune algorithm for solving the weapon-target assignment (WTA) problem was proposed. The general algorithm idea was that firstly clone some fine antibodies, and then made the antibodies mutate in local and global sphere, finally prevented the overhead of antibodies until find the optimum. The proposed algorithm can search optimum in a large space so as to avoid premature convergence. From our simulation with other algorithms for the ship-to-air missile WTA problem, the proposed algorithm indeed is very effective.