超网络体系作战下的打击目标优选模型
Model of strike target preference under super-network system operation
高泽伦 1郑少秋 2梁汝鹏 2黄炎焱3
作者信息
- 1. 南京理工大学自动化学院,江苏南京 210094;中国电子科技集团第二十八研究所,江苏南京 210007
- 2. 中国电子科技集团第二十八研究所,江苏南京 210007
- 3. 南京理工大学自动化学院,江苏南京 210094
- 折叠
摘要
针对当前进行海上作战体系目标优选分析与决策时对打击代价考虑不足的问题,提出综合考虑目标节点重要度和打击费效度的网络节点分析模型.利用超网络构建海上作战体系网络模型,通过度和介数等指标评估网络中节点的重要度;利用打击费效比为指标评估网络中节点的打击代价,进而将目标分析与选择问题转化为多 目标优化问题,建立寻优模型,并通过人工鱼群算法进行寻优求解.最后对模型进行案例仿真应用,通过专家Delphi法评估检验,结果表明所建立的模型方法可行,对水面舰队体系的 目标分析与选择具有借鉴作用.
Abstract
Aiming at the problem of insufficient consideration of the cost of strikes in the analysis and decision-making of target preference for maritime combat systems,a network node analysis model that considers the importance of target nodes and the cost effectiveness of strikes is proposed.The network model of the maritime combat system is constructed using a super-network,and the importance of the nodes in the network is evaluated by indicators such as degree centrality and betweenness centrality.The strike cost effectiveness ratio is used as an indicator to evaluate the strike cost of the nodes in the network,and then the target analysis and selection problem is transformed into a multi-objective optimization problem.And an optimization search model is established and solved by an artificial fish swarm algorithm.Finally,the model is applied to a simulation case,and the results pass the experts evaluation by Delphi method.It shows that the established model method is feasible and useful for the target analysis and selection of surface fleet systems.
关键词
目标选择/超网络/打击代价/人工鱼群算法/多目标优化Key words
target selection/super-network/strike cost/artificial fish swarm algorithm/multi-objective optimization引用本文复制引用
基金项目
信息系统需求重点实验室开放基金(LHZZ2021-M05)
中国电子科技集团基金(4T0121K758)
出版年
2024
NETL
NSTL
万方数据