| 求解弹头散布均匀度的分布估计算法 |
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| 引用本文： | 窦丽华,王高鹏,陈 杰,张 娟,靳添絮.求解弹头散布均匀度的分布估计算法[J].控制理论与应用,2009,26(6):624-628. |
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| 作者姓名： | 窦丽华 王高鹏 陈 杰 张 娟 靳添絮 |
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| 作者单位： | 北京理工大学,信息科学技术学院,北京,100081 |
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| 基金项目： | 国家“十一五”重点预研项目(ZLX2006212). |
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| 摘 要： | 未来空域窗射击体制是一种新型的高炮射击体制, 这种射击体制对近程防空反导具有显著的效果. 在对未来空域窗进行设计和评价时, 必须计算未来空域窗内弹头散布的均匀度, 并要求算法具有全局收敛以及解的精度高. 文章描述了未来空域窗弹头散布均匀度的问题, 提出了一种求解弹头散布均匀度的分布估计算法; 然后, 提出了一种变焦算法用来提高算法的搜索效率和解的精度, 并给出了混合算法的流程图. 仿真结果表明, 混合算法具有全局收敛、解的精度高以及搜索效率高的优点, 适合于在实际工程中用来求解弹头散布均匀度.
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| 关 键 词： | 弹头散布均匀度 分布估计算法 变焦算法 混合算法 |
| 收稿时间： | 2007/12/9 0:00:00 |
| 修稿时间： | 1/4/2009 12:00:00 AM |
A hybrid algorithm for computing cannonball dispersion evenness |
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| DOU Li-hu,WANG Gao-peng,CHEN Jie,ZHANG Juan and JIN Tian-xu.A hybrid algorithm for computing cannonball dispersion evenness[J].Control Theory & Applications,2009,26(6):624-628. |
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| Authors: | DOU Li-hu WANG Gao-peng CHEN Jie ZHANG Juan and JIN Tian-xu |
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| Affiliation: | College of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China;College of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China;College of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China;College of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China;College of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | The future-air-window is a new shooting system of anti-aircraft gun. This shooting system has distinct effect on short-range antiaircraft and antimissile. Since the cannonball dispersion evenness(CDE) is required to be computed when designing the future airspace window(FAW), and the computing algorithm should be globally convergent and with high solution accuracy, a hybrid algorithm to meet these requirements is proposed in this paper. First, the problem of solving FAW cannonball dispersion evenness is described; second, an algorithm for estimating the cannonball dispersion evenness(CDE) is put forward; and then, a zooming algorithm is employed to improve the search efficiency and solution accuracy, and the flowchart of the hybrid algorithm is given. The simulation results verify that the proposed hybrid algorithm has the advantages of global convergence, high solution precision and high search efficiency. It is suitable for the solution of CDE in practical engineering. |
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| Keywords: | cannonball dispersion evenness estimation of distribution algorithm(EDA) zooming algorithm hybrid algorithm |
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