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| 基于自适应遗传算法的无人机航路规划 | |
| 引用本文： | 熊建国,李杰,翟崎.基于自适应遗传算法的无人机航路规划[J].河南大学学报(自然科学版),2007,37(6):635-638. |
| 作者姓名： | 熊建国 李杰 翟崎 |
| 作者单位： | 1. 北京理工大学,宇航学院,北京,100081;中国人民解放军西安通讯学院,基础部,西安,710106 2. 北京理工大学,宇航学院,北京,100081 3. 中国人民解放军61135部队,北京,100054 |
| 摘 要： | 在规划区域内随机产生一系列威胁点和相应威胁半径来量化无人机(UAV)任务环境,通过纵向剖分目标区,将航路点的表示由二维缩减到一维,采用实值编码以提高运算精度.针对遗传算法(GA)早收敛和收敛慢的问题,在交叉和变异中设计了自适应算子.计算仿真表明该控制算法能使无人机在复杂环境中回避威胁,快速选择最短路径,提高了规划效率. |
| 关 键 词： | 无人机 航路规划 遗传算法 自适应算子 |
| 文章编号： | 1003-4978（2007）06-0635-04 |
| 修稿时间： | 2007-03-22 |
Path Planning for UAV Based on Adaptive Genetic Algorithm |
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| XIONG Jian-guo,LI Jie,ZHAI Qi.Path Planning for UAV Based on Adaptive Genetic Algorithm[J].Journal of Henan University(Natural Science),2007,37(6):635-638. | |
| Authors: | XIONG Jian-guo LI Jie ZHAI Qi |
| Abstract: | Series of stochastic points and its threat radius in the considered region are generated to simulate the task environment of UAV, then the region is equally divided into N part vertically, based on which the dimension of the expression of the UAV path decreases from 2-D to 1-D. Adaptive crossover and mutation operator is designed, by which premature and lower convergence problem can be prevented. The simulation result shows that the control algorithm is efficient in the obstacle prevention and shortest path choice in complicated environment. |
| Keywords: | UAV path planning genetic algorithm adaptive operator |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |