基于最小资源损耗的火力分配研究

Research on Method of Weapon-target Assignment Based on the Minimal Resource Loss

火力目标分配采用联合毁伤概率最大或被打击目标总期望生存值最小作为目标函数容易造成火力资源过饱和攻击,导致火力资源浪费,针对该问题,将对来袭目标的毁伤概率作为约束条件,根据来袭目标威胁度和火力资源消耗情况对各目标毁伤概率进行设置,以资源损耗最小为优化目标建立模型,并通过算法改进,采用粒子群禁忌混合搜索算法对模型进行求解,仿真结果表明,粒子群禁忌混合搜索算法求解精度高、稳定性好。

In weapon-target assignment,the weapon resources can be wasted if pursuit of the maximum probability of joint damage or the minimum total expected survival rate of the target. Aiming at this problem,the damage probability of the target is taken as the constraint condition,set up the damage probability of the target according to the target threat degree and resource consumption of firepower,with the minimum resource consumption as the optimization target model. An improved particle swarm tabu search hybrid algorithm is proposed to solve this model,the simulation results show that the hybrid algorithm of particle swarm tabu search with high accuracy and stability.