反辐射打击行动中多无人机目标分配问题研究OA
Research on the Task Assignment of Multi-UAVs in Anti-radiation Attack Operations
近年来无人机作战能力取得了质的飞跃,并在近几场的局部冲突中尽显锋芒.反辐射攻击无人机前出,对敌方阵地的预警探测体系进行侦察摧毁已经是当下信息化战争的重要应用,论文针对反辐射打击行动中的无人机任务规划问题,基于改进的遗传算法,对该作战场景下的目标分配方案进行了研究,极大提高了反辐射打击行动的效率,对该场景下的无人机集群作战任务分配提供了技术支撑.
In recent years,the combat capabilities of unmanned aerial vehicles(UAVs)have made a qualitative leap and have shown their prowess in several local conflicts.Anti-radiation attack UAVs are deployed to conduct reconnaissance and destroy the enemy's early warning and detection systems,which is an important application in modern information warfare.This paper focus-es on the UAV strike missions in anti-radiation operations,based on an improved genetic algorithm,to study the task assignment in specific scenarios,which greatly enhances the efficiency of anti-radiation strikes.It provides technical support for the task assign-ment of UAV swarm combat missions in such scenarios.
李博轮;邹永杰;刘正堂;郭恩泽;史宗佳;谢天润
中国人民解放军63893部队 洛阳 471003中国人民解放军63893部队 洛阳 471003中国人民解放军63893部队 洛阳 471003中国人民解放军63893部队 洛阳 471003中国人民解放军63893部队 洛阳 471003中国人民解放军63893部队 洛阳 471003
信息技术与安全科学
反辐射打击遗传算法任务分配作战效能
anti-radiation attackgenetic algorithmtask assignmentcombat effectiveness
《舰船电子工程》 2026 (4)
23-26,38,5
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