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 on Air Defense Weapon Cluster Striking Targets Based on Improved Simulated Annealing Algorithm

作　　者：王浩博 刘建涛 WANG Haobo;LIU Jiantao(Zhengzhou Campus of Army Academy of Artillery and Air Defense,Zhengzhou 450052,China)

机构地区：[1]陆军炮兵防空兵学院郑州校区,郑州450052

出　　处：《计算机测量与控制》2024年第7期196-202,共7页Computer Measurement &Control

摘　　要：传统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,导致该方法在分配效果上表现不佳;因此,文章提出了一种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;该方法综合考虑作战效果、作战成本和作战效率等多个因素,确定了相应的目标函数,并设定了相应的约束条件;通过计算打击目标的状态转移概率,并对打击目标的状态准则进行判定,定义了打击目标的状态转移方程;在改进的模拟退火算法的指导下,确定了最优的打击目标分配方案;实验结果分析表明,与传统的防空武器集群打击目标动态分配方法相比,文章设计的基于改进模拟退火算法的方法在实际应用中表现出较低的资源损耗量,均不高于4%,且具有良好的分配效果。Traditional dynamic allocation methods for air defense weapon cluster striking targets is not comprehensive enough due to the setting constraints.Therefore,this article proposes a dynamic allocation method for air defense weapon cluster attack targets based on an improved simulated annealing algorithm.This method comprehensively considers multiple factors such as combat effectiveness,combat cost,and combat efficiency,determines the corresponding objective function,and sets the corresponding constraints.The state transition equation of striking targets is defined through calculating the state transition probability and determining the state criteria of striking targets.Under the guidance of the improved simulated annealing algorithm,the optimal allocation scheme for striking targets is determined.The experimental results shows that compared with traditional dynamic allocation methods for air defense weapon cluster attack targets,the improved simulated annealing algorithm has lower resource loss in practical applications,with a loss of below 4%,and has a good allocation effect.

关 键 词：改进模拟退火算法 防空武器 武器集群 打击目标 动态分配 分配方法 方法设计 

分 类 号：G642[文化科学—高等教育学]