| 一种新的蚁群算法及其在飞行器设计中的应用 |
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| 引用本文： | 车竞,唐硕,王文正,何开锋.一种新的蚁群算法及其在飞行器设计中的应用[J].航空动力学报,2009,24(2):262-268. |
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| 作者姓名： | 车竞 唐硕 王文正 何开锋 |
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| 作者单位： | 1. 中国空气动力研究与发展中心,绵阳,621000
2. 西北工业大学航天学院,西安,710072 |
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| 基金项目： | 国家自然科学基金，中国博士后科学基金 |
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| 摘 要： | 尝试将蚁群算法引入飞行器优化设计领域,为此建立了适用于高维、多目标、多约束优化问题的连续空间蚁群算法,并以高超声速飞行器气动布局的多目标优化设计为例进行了验证.优化设计结果与采用遗传算法得到的优化结果进行了对比,指出了蚁群算法的优点.该研究可为蚁群算法应用于复杂、高维的大规模飞行器设计问题提供参考.
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| 关 键 词： | 多目标蚁群算法 连续空间 高超声速飞行器 气动布局 优化设计 |
| 收稿时间： | 1/27/2008 9:25:13 PM |
| 修稿时间： | 8/22/2008 6:50:32 PM |
New ant colony algorithm and its application on optimization design of flight vehicle |
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| CHE Jing,TANG Shuo,WANG Wen-zheng and HE Kai-feng.New ant colony algorithm and its application on optimization design of flight vehicle[J].Journal of Aerospace Power,2009,24(2):262-268. |
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| Authors: | CHE Jing TANG Shuo WANG Wen-zheng and HE Kai-feng |
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| Institution: | 1.China Aerodynamics Research and Development Center;Mianyang 621000;China;2.School of Astronautics;Northwestern Polytechnical University;Xi'an 710072;China |
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| Abstract: | Ant colony algorithm(ACA) is a new bionic optimization algorithm developed in recent years.With global and efficient characteristics,it has been applied in discontinuous space successfully.To introduce it to aircraft design field,a high dimensional,multi-objective and multi-restrained ACA for continuous space was built.In an example,it was applied to the multi-objective optimization design of aerodynamic configuration for hypersonic cruise vehicle(HCV).Through comparison with Pareto genetic algorithms(GA),A... |
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| Keywords: | Multi-Objective Ant Colony Algorithm (MACA) Continuous Space Hypersonic Cruise Vehicle (HCV) Aero |
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