基于改進(jìn)灰狼算法的多彈種瞄準(zhǔn)點選擇方法

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中圖分類號：TN911 文獻(xiàn)標(biāo)志碼：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

隨著軍事科技水平的不斷發(fā)展，遠(yuǎn)程多管火箭炮在對地打擊行動中的作戰(zhàn)地位不斷提升，其可攜帶的火箭彈類型日益豐富[1]。（剩余18362字）