| 基于多Agent的战场目标分群方法 |
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| 引用本文： | 赵鹏,常天庆,魏摘,张波. 基于多Agent的战场目标分群方法[J]. 计算机工程, 2011, 37(21): 152-154,158. DOI: 10.3969/j.issn.1000-3428.2011.21.052 |
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| 作者姓名： | 赵鹏 常天庆 魏摘 张波 |
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| 作者单位： | 1. 装甲兵工程学院控制工程系,北京100072;防空兵指挥学院防空导弹系,郑州450052
2. 装甲兵工程学院控制工程系,北京,100072 |
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| 摘 要： | 针对陆战场的态势识别问题，提出一种用于多Agent的态势识别系统战场目标分群方法。在陆战场目标分群过程中，管理Agent与实体Agent相互协作，以相似度计算作为分群的依据，考虑每个实体Agent的地形、相互间机动性能等因素，提出各自的分群方案，由管理Agent分发数据并合并结果。模拟结果表明，该方法能够解决传统方法在地形分割中的分群错误问题。
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| 关 键 词： | 多Agent 目标分群 态势识别 道路匹配 相似度计算 |
| 收稿时间： | 2011-03-15 |
Battlefield Target Grouping Method Based on Multi-Agent |
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| ZHAO Peng,CHANG Tian-qing,WEI Wei,ZHANG Bo. Battlefield Target Grouping Method Based on Multi-Agent[J]. Computer Engineering, 2011, 37(21): 152-154,158. DOI: 10.3969/j.issn.1000-3428.2011.21.052 |
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| Authors: | ZHAO Peng CHANG Tian-qing WEI Wei ZHANG Bo |
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| Affiliation: | 1(1.Department of Control Engineering,Academy of Armored Forces Engineering,Beijing 100072,China;2.Department of Surface-to-Air Missile,Air Defence Forces Command Academy,Zhengzhou 450052,China) |
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| Abstract: | A method that uses multi-Agent to resolve the situation recognition problem in land battle is given.The method uses two kinds Agent,management Agent and entity Agent.These two kinds Agent work together to solve this complex problem.Entity Agent calculates similarity that considers terrain and motive ability of other Agent nearby it,and gives a result of target grouping,management Agent distributes information data and union result of entity Agent.Simulation result shows that this method can solve grouping problems of terrain segmentation by traditional methods. |
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| Keywords: | multi-Agent target grouping situation recognition road matching similarity computing |
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