Abstract:

Making reasonable weapontarget assignment plans before the war can optimize the allocation of limited resources,which brings maximum awards with minimum costs. By integrating the constraints of attack,resource using and kill probability, a mathematic model on weapontarget assignment is formulated. Then, a decompositionbased evolutionary multiobjective optimization algorithm,with a repair method, is proposed. Simulation results indicate two conclusions. The first is that the proposed repair method can evidently improve the convergence performance of the decompositionbased algorithms. The second is that the decompositionbased algorithms can solve weapontarget assignment with good convergence performance and spacing performance, and appropriate decomposition approaches adopted can effectively improve the performances of decompositionbased algorithms.