摘要
基于Holon组织构建理论,分析了有人/无人机群对目标群协同作战的任务分配问题。有人/无人机群Holon联盟(Holon coalition of manned/unmanned vehicle swarm,HCVS)形成过程即是无序的有人/无人机群面向任务需求形成各个作战编队的过程。将对目标群的总任务分解为不同类型的子任务,根据无人机作战资源能力与任务资源需求,定义机群资源冗余指标、资源冗余方差指标,构建了HCVS形成的多目标优化模型。最后提出了一种多目标混合蜂群求解算法,并利用算例验证了算法的有效性与优越性。
The assignment problem of the manned/unmanned aerial vehicle cluster cooperative combat to the target group is analyzed based on the Holon coalition formation theory.The formation process of the air fleet Holon coalition is a process of the unordered manned/unmanned aerial vehicle clusters forming into different combat columns satisfying the tasks demand.The total task of the target group is decomposed into different types of sub tasks,defining the cluster resource redundancy index and the resource redundancy variance index according to the resource capability and task resource requirement,and a multi-objective optimization model of coalition formation is established.Finally,a multi-objective optimization bee colony algorithm is proposed,whose availability and superiority are proved with cases.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2018年第1期91-97,共7页
Systems Engineering and Electronics
基金
国家自然科学基金(61573017)资助课题
关键词
有人/无人机群
Holon联盟
混合蜂群算法
多目标优化
manned/unmanned aerial vehicle cluster
coalition of Holon
hybrid bee colony algorithm
multi-objective optimization