陆上火力打击多维防护下时敏目标任务规划问题研究OA

Aiming at the operational mission requirements for ground time-sensitive targets in land fire strike under multi-dimensional protection conditions such as electromagnetic interference,air defense and anti-missile interception,and radar guidance,this paper discusses three typical weapons against ground time-sensitive targets based on their characteristics.On the basis of an improved discrete particle swarm optimization algorithm,a fire strike task planning method is proposed to improve damage efficiency,reduce consumption cost,and make full use of time windows.A combat scenario is designed for simulation verification and analysis.The results show that the algorithm has remarkable global search and fast convergence performance,and can effectively optimize the fire strike task planning scheme and improve the comprehensive effectiveness of fire strike.