基于改进能量谷优化的多无人机空战目标分配

To solve the problem of multi-unmanned aerial vehicle (UAV) air combat target allocation, this paper proposes a multi-UAV air combat target allocation method based on improved energy valley optimization. Firstly, the UAV air combat situation assessment model is established, and the multi-UAV air combat target allocation problem is mathematically modeled based on the UAV air combat situation assessment model. Then, on the basis of the energy valley optimization algorithm, the particle decay process in the algorithm is improved, so that the energy valley optimization algorithm is suitable for discrete optimization problems. Two improvement measures, namely chaotic mapping and binary improvement, are proposed. Finally, elimination experiments and effectiveness experiments are designed to verify the effectiveness of the proposed method. The simulation results show that the proposed improvement measures enhance the algorithm performance of energy valley optimization algorithm in UAV target allocation. Moreover, the improved energy valley optimization algorithm can be applied to solve the multi-UAV air combat target allocation problem, and has certain application significance in multi-UAV air combat.