基于改进灰狼算法的多弹种瞄准点选择方法

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中图分类号：TN911 文献标志码：A DOI：10.12305/j.issn.1001-506X.2025.05.22

Abstract：At present，the types of munitions that can be carried by long-range multiple-launch rockets are becoming more and more diversified，which brings new chalenges to the problem of optimization of munition aiming points.Aiming atthe problems of previous algorithms’slow solution speed and poor solution quality incomplex aiming point optimization models，this paper proposes an improved gray wolf algorithm，which enhances the algorithm's optimization abilityand solution speed by incorporating amulti-layer multi-module coding strategy，adaptive mutation and simulatedanealing strategy，anda single-decision-individual cross-guidance strategy.The experimental results show that，compared with the comparison algorithm，the algorithm proposed in this paper can maintain a faster solution speed when the combat forces of the red and blue sides change，and the comprehensive destructive effect of the selected aiming point is better，which has certain application value.

Keywords：ammunition；point of aim；gray wolf algorithm；target destruction

0 引言

随着军事科技水平的不断发展，远程多管火箭炮在对地打击行动中的作战地位不断提升，其可携带的火箭弹类型日益丰富[1]。（剩余18362字）