基于改进模拟退火算法的防空武器集群打击目标动态分配

Dynamic Allocation of Air Defense Weapon Cluster Strike Targets Based on Improved Simulated Annealing Algorithm

摘要:

以往的防空武器集群打击目标动态分配方法由于设定的约束条件不够全面,导致方法的分配效果不佳。因此,设计了基于改进模拟退火算法的防空武器集群打击目标动态分配。在综合考虑作战效果、作战成本、作战效率等多个方面的因素,确定对应的防空武器集群打击目标动态分配的目标函数,并设定对应的约束条件,通过计算打击目标的状态转移概率,对打击目标的状态准则进行判定,由此定义打击目标状态转移方程,在改进模拟退火算法的作用下,确定最优的打击目标分配方案。分析实验结果可知,与以往的防空武器集群打击目标动态分配方法相比,设计的基于改进模拟退火算法的防空武器集群打击目标动态分配方法在实际应用中资源损耗量较低,分配效果较好。

Abstract:

The previous dynamic allocation method for air defense weapon cluster attack targets was not effective due to the incomplete set constraints. Therefore, a dynamic allocation of targets for air defense weapon cluster strikes based on an improved simulated annealing algorithm was designed. Taking into account multiple factors such as combat effectiveness, combat costs, and combat efficiency, the corresponding objective function for dynamic allocation of air defense weapon clusters to attack targets is determined, and corresponding constraint conditions are set. By calculating the probability of state transition of the target, the state criteria of the target are determined. Based on this, the state transition equation of the target is defined, and the optimal allocation scheme of the target is determined through the improved simulated annealing algorithm. The analysis of experimental results shows that compared with previous dynamic allocation methods for air defense weapon cluster attack targets, the designed dynamic allocation method for air defense weapon cluster attack targets based on improved simulated annealing algorithm has lower resource loss and better allocation effect in practical applications.