| 基于自适应遗传算法的航迹规划研究 |
| |
| 引用本文： | 刘超,欧杰,曹祺.基于自适应遗传算法的航迹规划研究[J].飞行力学,2010,28(1). |
| |
| 作者姓名： | 刘超 欧杰 曹祺 |
| |
| 作者单位： | 中国飞行试验研究院飞行仿真实验室,陕西,西安,710089 |
| |
| 基金项目： | 航空科学基金资助(20061330002) |
| |
| 摘 要： | 对传统遗传算法进行了改进,通过采用交叉概率和变异概率的自适应设计,避免了进化过程中固定的交叉概率和变异概率产生的个体早熟和收敛缓慢的现象。仿真算例结果表明,自适应遗传算法能够有效地提高遗传算法的全局寻优能力,加快算法的收敛速度,有较强的地形和威胁回避能力,可为低空突防飞行器提供满足战术要求的参考航迹。
|
| 关 键 词： | 遗传算法 航迹规划 低空突防 威胁回避 |
Research for the flight path planning based on adaptive genetic algorithm |
| |
| LIU Chao,OU Jie,CAO Qi.Research for the flight path planning based on adaptive genetic algorithm[J].Flight Dynamics,2010,28(1). |
| |
| Authors: | LIU Chao OU Jie CAO Qi |
| |
| Institution: | Flight Simulation Lab;Chinese Flight Test Establishment;Xi'an 710089;China |
| |
| Abstract: | This paper improved the traditional genetic algorithm by adopting the adaptive crossover probability and mutation probability.This algorithm avoided the individual earliness and convergence slowness phenomena which are caused by the invariable crossover probability and mutation probability in the process of evolution.Emulation results indicate: the adaptive genetic algorithm improves efficiently the global optimization ability of the algorithm,expedites convergent of the algorithm,and has strong terrain and... |
| |
| Keywords: | genetic algorithm flight path planning low altitude penetration threat avoidance |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
