MOFA/D-URAM for Solving the Air and Missile Defense Problem Based on Uncertainty Theory

For the uncertain factors in fire allocation process of air and missile defense problem, uncertainty theory is used to deal with an multi-objective dynamic weapon target assignment model proposed. In order above model, a evolutionary algorithm based on decomposition proposed, which adds displacement mechanism firefly uniformly randomly adaptive weights mechanism. Then, simulation results show that proposed has good convergence distribution uniformity for solving optimization problem. Lastly, using solve verify rationality model.