| 元任务插入的多星成像侦察任务聚类启发式算法 |
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| 引用本文： | 徐培德,王建江,许语拉. 元任务插入的多星成像侦察任务聚类启发式算法[J]. 火力与指挥控制, 2012, 37(5): 14-19 |
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| 作者姓名： | 徐培德 王建江 许语拉 |
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| 作者单位： | 国防科技大学信息系统与管理学院,长沙,410073 |
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| 基金项目： | 武器装备预研基金资助项目 |
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| 摘 要： | 在多颗卫星协同执行侦察任务时,多星成像侦察任务聚类能够提高多颗卫星的整体侦察效率。根据卫星成像侦察元任务之间的聚类关系及约束条件,建立了数学规划模型,并提出了模型求解的基于元任务插入的启发式聚类算法,最后结合实例验证了算法的有效性。
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| 关 键 词： | 聚类 多星成像侦察任务 元任务插入 |
Heuristic Clustering Algorithm of Multiple Satellite Imaging Reconnaissance Tasks Based on Atomic Task Insertion |
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| XU Pei-de , Wang Jian-jiang , XU Yu-la. Heuristic Clustering Algorithm of Multiple Satellite Imaging Reconnaissance Tasks Based on Atomic Task Insertion[J]. Fire Control & Command Control, 2012, 37(5): 14-19 |
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| Authors: | XU Pei-de Wang Jian-jiang XU Yu-la |
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| Affiliation: | (The National University of Defense Technology,Changsha 410073,China) |
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| Abstract: | At the time of multiple satellites execute reconnaissance tasks in cooperation,Clustering of multiple satellite imaging reconnaissance tasks is able to improve integrated Reconnaissance efficiency of multiple satellites.Based on satellite imaging reconnaissance atomic tasks clustering relations and restriction conditions,this paper establishes mathematics programming model of multiple satellite imaging reconnaissance tasks clustering,then it presents heuristic clustering algorithm based on atomic task insertion to solve the model.Finally the algorithm is validated by an example. |
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| Keywords: | clustering multiple satellite imaging reconnaissance tasks atomic task insertion |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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