ABSTRACT
Dynamic Weapon-Target Assignment (DWTA) is crucially important under the condition when a limited number of weapons need to be employed immediately. We study the problem using the multi-objective optimization model consisting of Static Weapon-Target Assignment models (SWTA). The SWTA of the next wave is used as an input by the strike effect of the previous wave, and the model is updated. Aiming at the high speed of the algorithm, the Multi-Objective Evolutionary Decomposition Algorithm (MOEA/D) is improved, and the conjugate gradient method is mixed to search for optimization. The simulation results show that the improved algorithm improves the speed of the algorithm and completes the dynamic weapon-target assignment while retaining the advantages of the MOEA/D algorithm.
