| GA与ST在防空导弹总体参数优化设计中的应用 |
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| 引用本文： | 李向林,于本水. GA与ST在防空导弹总体参数优化设计中的应用[J]. 系统工程与电子技术, 2000, 22(10): 14-16 |
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| 作者姓名： | 李向林 于本水 |
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| 作者单位： | 中国航天机电集团公司二院二部,北京,100854 |
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| 摘 要： | 遗传算法 (GA)是一种方便好用的鲁棒全局优化算法 ;逐步宽容法 (ST)是一种物理概念清晰、适合工程应用特点的多目标优化方法。将二者有机地结合起来 ,应用于防空导弹总体参数优化设计。实践证明 ,其寻优速度较之传统的优化算法大为提高 ,优化结果的最优可信度高。
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| 关 键 词： | 遗传 算法 防空导弹 总体设计 优化 |
| 修稿时间： | 1999-11-30 |
Application of Genetic Algorithm and Stepwise Tolerance Method in the Optimal Design of Systemic Parameter of Antiaircraft Missile |
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| Li Xianglin,Yu Benshui. Application of Genetic Algorithm and Stepwise Tolerance Method in the Optimal Design of Systemic Parameter of Antiaircraft Missile[J]. System Engineering and Electronics, 2000, 22(10): 14-16 |
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| Authors: | Li Xianglin Yu Benshui |
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| Abstract: | Genetic Algorithm is a kind of convenient and robust optimization algorithm. And stepwise tolerance method is a multi-target optimal method that has the advantages of clear physical concept and being suibtable for engineering application. By being combined with each, the two methods can be used to design optimally the system parameters of air-defense missile. The practical result shows that the convergence velocity is improved in higher level than that of the traditional algorithms, and the optimal result has a better optimization reliability. |
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| Keywords: | Heredity Algorithm Air-defense missile System design Optimization |
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