摘要
传统的以联合毁伤概率最大或被打击目标总期望生存值最小作为武器目标分配函数容易造成武器过饱和攻击,导致资源浪费。针对该问题,将对来袭目标的毁伤概率作为约束条件,以资源损耗最小为优化目标建立模型,并设计了动态变化的武器弹药资源量化描述。在武器目标动态分配过程中,针对时空约束对分配的影响,设计了基于资源损耗最小的武器目标动态分配算法。仿真结果表明:该算法在对时空约束和随机事件的处理时,操作简单、易于编程实现。
Traditional weapon-targets assignment tends to result in the waste of weapon resources due to the pursuit of the maximum probability of joint damage or the minimum total expected survival rate of the target. Addressing this problem, the damage probability of the target is taken as the constraint condition, the minimum resource depletion is set up as the optimization target model, and the dyna-mic quantitative description of ammunition resources is designed. In consideration of the influence of space-time constraint on assignment, the dynamic weapon-target assignment algorithm is designed based on minimum resource depletion, and the influence of random event on allocation is analyzed.
作者
石章松
吴鹏飞
刘志超
SHI Zhang-song;WU Peng-fei;LIU Zhi-chao(College of Weaponry Engineering, Naval Univ, of Engineering, Wuhan 430033, China;Unii No. 92925, Changzhi 046000, China)
出处
《海军工程大学学报》
CAS
北大核心
2019年第4期64-71,共8页
Journal of Naval University of Engineering
基金
国家部委基金资助项目(3020801010105)
关键词
武器目标动态分配
最小资源损耗
弹药资源动态量化描述
时空约束
dynamic weapon-targets assignment
minimum resource depletion
dynamic quantitative description of ammunition resources
space-time constrain
