| 基于改进蚁群算法的飞机低空突防航路规划 |
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| 引用本文： | 叶文,马登武,范洪达.基于改进蚁群算法的飞机低空突防航路规划[J].中国航空学报,2005,18(4):304-309. |
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| 作者姓名： | 叶文 马登武 范洪达 |
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| 作者单位： | Department of Ordnance Science and Technology, Naval Aeronautical Engineering Institute, Yantai 264001 , China |
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| 摘 要： | 蚁群算法是一种新型的基于群体的仿生算法。采用蚁群算法实现了飞机低空突防的航路规划，为航路规划问题提供了新的解决思路。并对原始蚁群算法进行了改进，提出了保留最优解、自适应选择策略和自适应信息素调整准则，有效地提高了算法的收敛速度和解的性能。最后用计算机进行了仿真，取得了较好的结果。
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| 关 键 词： | 蚁群算法 航路规划 保留最优解 自适应搜索 低空突防 |
| 收稿时间： | 03 12 2004 12:00AM |
| 修稿时间： | 08 30 2005 12:00AM |
Algorithm for Low Altitude Penetration Aircraft Path Planning with Improved Ant Colony Algorithm |
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| YE Wen, MA Deng-wu, FAN Hong-da.Algorithm for Low Altitude Penetration Aircraft Path Planning with Improved Ant Colony Algorithm[J].Chinese Journal of Aeronautics,2005,18(4):304-309. |
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| Authors: | YE Wen MA Deng-wu FAN Hong-da |
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| Institution: | Department of Ordnance Science and Technology, Naval Aeronautical Engineering Institute, Yantai 264001 , China |
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| Abstract: | The ant colony algorithm is a new class of population basic algorithm. The path planning is realized by the use of ant colony algorithm when the plane executes the low altitude penetration, which provides a new method for the path planning. In the paper the traditional ant colony algorithm is improved, and measures of keeping optimization, adaptively selecting and adaptively adjusting are applied, by which better path at higher convergence speed can be found. Finally the algorithm is implemented with computer simulation and preferable results are obtained. |
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| Keywords: | ant colony algorithm path planning keeping optimization adaptively adiusting low altitude penetration |
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