| 引用本文: | 张先剑.空陆攻防博弈的动态武器目标分配.[J].国防科技大学学报,2019,41(2):185-190.[点击复制] |
| ZHANG Xianjian.Land defense weapon versus target assignment against air attack[J].Journal of National University of Defense Technology,2019,41(2):185-190[点击复制] |
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| 空陆攻防博弈的动态武器目标分配 |
| 张先剑 |
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(国防科技大学 智能科学学院, 湖南 长沙 410073)
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| 摘要: |
| 大规模作战具有高动态、非完全信息和不确定性，在分析归纳目前解决动态武器目标分配问题的一系列方法的基础上，尝试构建基于双方动态博弈的攻防对抗综合数学模型，并利用纳什均衡和帕累托最优算法进行分阶段求解。结果表明，该数学模型和博弈论方法结合能够有效解决武器目标动态分配问题。 |
| 关键词: 动态武器目标分配 指挥决策 纳什均衡 帕累托最优 |
| DOI：10.11887/j.cn.201902027 |
| 投稿日期：2018-01-28 |
| 基金项目:中国博士后科学基金资助项目（2014M562571，2015T81131） |
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| Land defense weapon versus target assignment against air attack |
| ZHANG Xianjian |
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(College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China)
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| Abstract: |
| Considering the high dynamics, incomplete information and uncertainty of massive operations, on the basis of the analysis and induction of a methods was proposed to solve the problem of dynamic weapon target assignment, a comprehensive mathematical of dynamic game based on both sides was made in structure, a phased solution was provided based on Nash equilibrium algorithm and Pareto optimization. The results validate that combining the mathematical model with the game theory method can effectively deal with the problem of dynamic weapon target assignment efficiently. |
| Keywords: dynamic weapon target assignment command and decision-making Nash equilibrium Pareto optimization |
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