基于三支决策和遗传算法的动态武器目标分配  

Dynamic Weapon-target Assignment Based on Three-way Decision and Genetic Algorithm

作　　者：刘富樯 周伦 刘中阳 皮阳军[1,2] 蒲华燕 罗均[1,2] LIU Fuqiang;ZHOU Lun;LIU Zhongyang;PI Yangjun;PU Huayan;LUO Jun(State Key Laboratory of Mechanical Transmission for Advanced Equipment,Chongqing University,Chongqing 400044,China;College of Mechanical and Vehicle Engineering,Chongqing University,Chongqing 400044,China)

机构地区：[1]重庆大学高端装备机械传动全国重点实验室,重庆400044 [2]重庆大学机械与运载工程学院,重庆400044

出　　处：《兵工学报》2025年第3期255-263,共9页Acta Armamentarii

基　　金：国家自然科学基金重点项目(62033001);重庆市技术创新与应用发展专项重点项目(CSTB2023TIAD-KPX0057)。

摘　　要：面向动态武器目标分配任务,结合博弈思想开展多阶段问题建模与求解。针对动态多阶段中确定打击目标的问题,引入三支决策理论改进威胁评估模型,通过接受决策、延迟决策和拒绝决策3种分类选取每阶段的优先打击目标用于火力分配;构建基于博弈思想的动态武器目标分配模型,设计构造敌方规避风险值目标函数以充分考虑来袭目标的智能性与不确定性;针对多个打击阶段中不同决策偏好的影响,设计结合拥挤度与参考点的动态选择机制,以应对动态情况下对不同目标函数的偏好并提高求解质量;将改进的遗传算法用于求解所提动态武器目标分配问题,并通过对比仿真实验验证所提算法的有效性。A multi-stage decision problem of the dynamic weapon-target assignment(DWTA)is modelled and solved based on a game idea.For determining the targets to be attacked in dynamic multi-stage,the three-way decision theory is introduced to improve the threat assessment model,and the priority targets to be attacked in each stage are selected for firepower assignment through the acceptance,delay and reject decisions.A dynamic weapon-target assignment model based on the game idea is constructed,and the objective function of enemy avoidance risk value is designed to take into account the intelligence and uncertainty of the incoming target.For the influence of decision preference in multi-stage solution,a dynamic selection mechanism combining the crowding degree and reference point is designed to cope with the preference of different objective functions in dynamic situations and improve the solution quality.The improved algorithm is used to solve the proposed DWTA problem,and the effectiveness of the proposed algorithm is verified through comparative simulation experiments.

关 键 词：武器目标分配 三支决策 多目标优化 遗传算法 拥挤度 

分 类 号：E917[军事]