Abstract:

In order to improve the real-time performance and accuracy for solving the weapon-target assignment (WTA) problem, several improvements on an artificial immune algorithm are proposed. On the basis of  adopting an adaptive championship selection operator, “(1+λ)-selection” global update technique and Memetic local update technique are introduced to improve global optimization ability and local searching ability respectively; besides, a best antibody inhibition mechanism is adopted to avoid trapping in local optimum. The simulation result shows the high convergence speed and high convergence accuracy of the IAIA, which meets the demands of WTA problem solving.