摘要
为研究无人机集群复杂性及智能生成机理,阐述无人机集群智能涌现与演化的概念及方法。针对无人机集群智能涌现的信息融合、在线任务规划、陌生环境下搜索与攻击优化和集群队形控制4个应用领域,论述其建模需求及原理,提出无人机集群智能演化的规则、算法和案例3个具体演化方向,并论述实现演化的建模途径,可对进一步研究无人机集群智能涌现和演化建模提供理论参考。
In order to study complexity and intelligent generation mechanism of UAV cluster,the concepts and methods of intelligent emergence and intelligent evolution of UAV cluster are expounded.This paper discusses the requirements and principles of intelligent emergence modeling for four application areas of UAV cluster intelligent emergence:information fusion,online task planning,search and attack optimization in unfamiliar environment and cluster formation control.This paper puts forward three evolution directions of UAV cluster intelligence,rule evolution,algorithm evolution and case evolution,and discusses the modeling approach to achieve the evolution.It can provide reference for further research on intelligent emergence and intelligent evolution of UAV cluster.
作者
许瑞明
Xu Ruiming(Center of Assessment&Demonstration Research,Academy of Military Science,Beijing 100091,China)
出处
《兵工自动化》
2021年第3期5-9,35,共6页
Ordnance Industry Automation
关键词
无人机
集群作战
智能涌现
智能演化
建模
UAV
cluster operations
intelligent emergence
intelligent evolution
modeling
