| 改进遗传算法在飞机总体参数优化中的应用 |
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| 引用本文： | 邱志平,张宇星.改进遗传算法在飞机总体参数优化中的应用[J].北京航空航天大学学报,2008,34(10):1182-1185. |
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| 作者姓名： | 邱志平 张宇星 |
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| 作者单位： | 北京航空航天大学 航空科学与工程学院, 北京 100191 |
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| 基金项目： | 国家自然科学基金,高等学校学科创新引智计划 |
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| 摘 要： | 基于飞机总体参数设计中的多目标优化问题,提出了改进的多目标遗传算法.算法围绕Pareto最优解的概念,利用遗传算法的内在并行性,设法求取多目标优化问题的"Pareto前沿".将不同的改进遗传算法应用于同一干线客机总体参数优化设计中,要求巡航升阻比和有效载荷系数两个目标达到最大,并对各种算法所得的结果进行综合分析与比较,结果显示:基于Pareto排序的多目标优化算法(NSGA,Non-dominated Sorting Genetic Algorithm)的Pareto解最优,可以支配改进的向量评价遗传算法(VEGA,Vector-Evaluated Genetic Algorithm)和随机权重遗传算法(RWGA,Random-Weight Genetic Algorithm)的结果;而VEGA和RWGA的结果互有优劣.
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| 关 键 词： | 多目标优化 飞机设计 Pareto最优 遗传算法 |
| 收稿时间： | 2007-11-05 |
Application of improved genetic algorithms in aircraft conceptual parameter optimization design |
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| Qiu Zhiping,Zhang Yuxing.Application of improved genetic algorithms in aircraft conceptual parameter optimization design[J].Journal of Beijing University of Aeronautics and Astronautics,2008,34(10):1182-1185. |
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| Authors: | Qiu Zhiping Zhang Yuxing |
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| Institution: | School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China |
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| Abstract: | Based on the multi-objective optimization problems in the aircraft conceptual parameter design,improved multi-objective genetic algorithms were proposed.The "Pareto front "of Multi-objective optimization(MO) was tried to seek by using inherent parallelism of genetic algorithms(GA) while emphasizing the Pareto optimal conception.Different improved genetic algorithms were applied to a same two-objective optimization arterial airliner conceptual parameter optimization design,where both the ratio of lift to dra... |
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| Keywords: | multiple objective optimization aircraft design Pareto optimal genetic algorithms |
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