| 基于元胞蚂蚁算法的防空靶机航路规划研究 |
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| 引用本文： | 刘志强,雷宇曜,阳再清.基于元胞蚂蚁算法的防空靶机航路规划研究[J].兵工自动化,2014,33(5):4-6. |
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| 作者姓名： | 刘志强 雷宇曜 阳再清 |
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| 作者单位： | 中国人民解放军92419部队,辽宁 兴城,125106;海军航空工程学院兵器科学与技术系,山东 烟台,264001 |
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| 摘 要： | 防空靶机飞行航路设计是实现靶机有效控制,确保高效完成供靶任务的保障。通过对靶机三维航路规划模型进行分析,给出了元胞蚂蚁算法的航路规划模型的求解方法及算法实现的具体流程,并分别应用蚁群算法和元胞蚂蚁算法进行仿真实验。结果表明:元胞蚂蚁算法克服了蚁群算法收敛速度慢、陷于局部最小值的缺陷,可得到较优的航路。
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| 关 键 词： | 元胞蚂蚁算法 防空靶机 飞行航路 |
| 收稿时间： | 2014/5/27 0:00:00 |
Route Planning of Anti-Air Target Drone Based on Cellular-Ant Colony Algorithm |
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| Liu Zhiqiang,Lei Yuyao,Yang Zaiqing.Route Planning of Anti-Air Target Drone Based on Cellular-Ant Colony Algorithm[J].Ordnance Industry Automation,2014,33(5):4-6. |
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| Authors: | Liu Zhiqiang Lei Yuyao Yang Zaiqing |
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| Affiliation: | 1. No. 92419 Unit ofPLA, Xingcheng 125106, China; 2. Department of Ordnance Science ＆ Technology, Naval University of Aeronautics ＆ Astronautics, Yantai 264001, China) |
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| Abstract: | The design of the flight airway of anti-air target is essential to the effective target control and the high effective completion of target supply task. Through the analysis of the three-dimensional airway design model, the solution method and corresponding algorithm flow of the cellular-ant colony algorithm is provided in this paper. The simulation experiment of the ant colony and cellular-ant colony algorithms is carried out, which shows that the cellular ant algorithm over comes the ant colony algorithm disadvantages of the slow convergence and local optima, and it is able to obtain optimal airway. |
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| Keywords: | cellular-ant colony algorithm anti-air target flight airway |
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