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一种基于蚁群算法的准动态防空武器分配算法
引用本文:张彦芳,闫德恒,王冀扬,曹震. 一种基于蚁群算法的准动态防空武器分配算法[J]. 火力与指挥控制, 2016, 0(9): 112-117. DOI: 10.3969/j.issn.1002-0640.2016.09.026
作者姓名:张彦芳  闫德恒  王冀扬  曹震
作者单位:中国电子科技集团公司第二十八研究所,南京,210007
摘    要:武器目标分配问题是一个典型的限制组合优化问题,旨在得到在整个防御阶段中针对目标函数的最优武器分配方案。分配算法主要分为静态和动态两大类。针对传统静态分配模型中存在的几点问题,提出了基于时间窗的准动态武器目标分配算法,该算法综合考虑拦截概率、拦截时间和武器耗费多个优化指标,并将该算法推广至多类防空武器的优化分配中。通过大量实验验证,该算法在性能、时间复杂度等方面均有较大优势,并且能较好地适应战场态势的变化,及时调整分配方案,具有很好的实用性。

关 键 词:武器目标分配  武器- 目标时间窗  蚁群算法

A Quasi-dynamic Defense Weapon Assignment Algorithm Based on Ant-colony Optimization
Abstract:Weapon-target assignment (WTA)is a typical constrained combinatorial optimization problem,subject to maximize the total value of surviving assets threatened by hostile targets through all defense stages. It includes two versions-static WTA and dynamic WTA. A quasi-dynamic WTA based on time window is proposed in this paper. The algorithm comprehensively take kill probability,kill time and weapon consume into consideration. And it has been applied to multi-channel defense weapon. A comparison of the proposed algorithm with several existing search approaches shows that the proposed algorithm outperforms its competitors and it is more adaptable on WTA problems.
Keywords:weapon-target assignment  weapon-target time window  ant-colony optimization
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