现代防御技术2025，Vol.53Issue(3)：1-10,10.DOI:10.3969/j.issn.1009-086x.2025.03.001
基于MR-WPA的无人机蜂群多目标打击任务分配
Multi-objective Strike Task Allocation for UAV Swarms Based on MR-WPA
费陈 1赵亮 1李银城 1王树泉 1段正裕1
作者信息
摘要
Abstract
Unmanned aerial vehicles(UAVs)are widely applied across various fields due to their high mobility and strong coupling capabilities.In the military domain,multi-objective task allocation for UAV swarms holds critical significance.Based on the current research status and latest advancements in UAV task allocation,this paper addresses the limitations of traditional algorithms,such as insufficient robustness,slow convergence,and susceptibility to local optima in complex missions—by proposing an improved wolf pack algorithm(IWPA)based on a multi-rule mechanism.An optimization model is constructed with the objective of maximizing strike effectiveness,incorporating factors such as enemy target distance,attack threat,and target value.Simulation results demonstrate that,compared to other heuristic algorithms,the proposed method achieves faster optimization speed and superior performance,indicating broad application prospects.关键词
无人机蜂群/狼群算法/多规则机制/任务分配/多目标打击Key words
UAV swarm/wolf pack algorithm(WPA)/multi-rule mechanism/task allocation/multi-objective strike分类
军事科技引用本文复制引用
费陈,赵亮,李银城,王树泉,段正裕..基于MR-WPA的无人机蜂群多目标打击任务分配[J].现代防御技术,2025,53(3):1-10,10.
