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航母编队反无人机蜂群作战兵力部署模型及优化 被引量:1

Combat Force Deployment Model and Optimization of Aircraft Carrier Formation Anti-UAV Swarm
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摘要 为更好地应对信息化智能化战争中无人机蜂群对航母编队这类高价值目标的威胁,以航母编队反无人机蜂群作战兵力部署为研究对象,从建立兵力部署解析规划模型入手,重点考虑中层防空警戒哨舰和舰载电子战飞机对蜂群打击的约束条件集,并利用简化粒子群算法对解空间进行快速寻优。实例仿真结果表明模型和求解方法具有可行性,其时效性能够满足兵力部署实际需要,为航母编队反无人机蜂群作战提供一定参考借鉴。 In order to better deal with the threat of drone swarms to high-value targets such as aircraft carrier formations in informatization intelligence warfare,the combat force deployment of aircraft carrier formation anti-UAV swarm is regarded as the research object,starting from the establishment of an analytical planning model for force deployment.The set of constraints for mid-level air defense picket ships and carrier-based electronic warfare aircraft to strike swarms is focused on,and the simplified particle swarm algorithm is used to quickly optimize the solution space.The simulation results of the example show that the model and the solution method are feasible,and its timeliness can meet the actual needs of force deployment,and can provide a certain reference for the aircraft carrier formation to combat with UAV swarm.
作者 樊辉锦 巫银花 毕月 刘家祺 苏泽亚 FAN Huijin;WU Yinhua;BI Yue;LIU Jiaqi;SU Zeya(Naval Command College,Nanjing 210018,China;Unit 92635 of PLA,Qingdao 266001,China;Unit 92326 of PLA,Zhanjiang 524001,China)
出处 《火力与指挥控制》 CSCD 北大核心 2023年第6期55-61,69,共8页 Fire Control & Command Control
基金 全军军事类研究生资助课题(JY2021B059)。
关键词 反无人机蜂群 解析规划 兵力部署 智能优化算法 anti-UAV swarm analytical planning force deployment intelligent optimization algorithm
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