| 可行三维航迹个体的生成算法 |
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| 引用本文： | 刘雁兵,刘付显.可行三维航迹个体的生成算法[J].电光与控制,2007,14(2):26-29. |
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| 作者姓名： | 刘雁兵 刘付显 |
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| 作者单位： | 空军工程大学导弹学院,陕西,三原,713800 |
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| 摘 要： | 在遗传算法中,初始种群中个体的质量对遗传算法的收敛速度影响较大.本文在分析航迹规划约束条件的基础上,设计了一种初始航迹个体的生成算法,产生的三维航迹个体满足飞行器性能约束,并能避免撞山危险,比传统的随机生成算法产生的航迹个体具有较大的适应度.使遗传算法能有效避免冗余搜索,从而提高航迹规划的收敛速度.
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| 关 键 词： | 低空突防 航迹规划 遗传算法 地形跟随/地形规避 |
| 文章编号： | 1671-637X（2007）02-0026-04 |
| 修稿时间： | 2005-07-132005-11-09 |
A method for generating feasible 3D route individuals |
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| LIU Yan-bing,LIU Fu-xian.A method for generating feasible 3D route individuals[J].Electronics Optics & Control,2007,14(2):26-29. |
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| Authors: | LIU Yan-bing LIU Fu-xian |
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| Affiliation: | Missile Institute ,Air Force Engineering University, Shanyuan 713800, China |
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| Abstract: | The convergence rate is greatly influenced by the quality of individuals of the initial group in Genetic Algorithm(GA).Considering the restrictions in route planning,a method is presented for generating initial 3D-route individuals subjected to the performance restrictions of the aerial vehicle.These individuals could avoid crashing the terrain surface,and also have higher adaptability than those individuals produced by traditional stochastic method.Thus genetic algorithm could avoid redundant search and the convergence rate will be improved greatly. |
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| Keywords: | low - level penetration route planning genetic algorithm TF/TA |
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