摘要
为了解决战时岸舰导弹作战单元投送定量决策问题,针对复杂多变的战场环境,构建了具有时变运输网络特征及动态需求约束的多型岸舰导弹作战单元投送优化模型;基于该模型,从种群初始化、粒子更新等环节对多目标粒子群算法进行了改进,设计了岸舰导弹作战单元投送优化算法,仿真结果表明模型及算法可以提供多个兼顾安全性和时效性的高质量投送方案,能够支持作战单元投送的快速、精准决策。
In order to solve the problem of quantitative decision-making on the delivery of shore-to-ship missile combat units in wartime,in view of the complex and changeable battlefield environment,a multi-type shore-to-ship missile combat unit delivery optimization model with time-varying transportation network features and dynamic demand constraints is constructed.Based on this model,the multi-target particle swarm algorithm is improved from the links of swarm initialization and particle update,etc.and the delivery optimization algorithm of shore-to-ship missile combat unit is designed.The simulation results show that the model and algorithm can provide multiple high-quality delivery schemes that take into account both safety and timeliness,and can support the rapid delivery and accurate decision-making of combat unit.
作者
姜子劼
宋贵宝
刘战
刘镇毓
JIANG Zi-jie;SONG Gui-bao;LIU Zhan;LIU Zhen-yu(Nawal Aviation University,Yantai 264001,China)
出处
《火力与指挥控制》
CSCD
北大核心
2021年第12期159-165,170,共8页
Fire Control & Command Control
关键词
岸舰导弹
战场投送
多目标优化
粒子群算法
shore-to-ship missile
battlefield delivery
multi-objective optimization
particle swarmalgorithm