基于自适应遗传算法的航迹规划研究  

Research for the flight path planning based on adaptive genetic algorithm

作　　者：刘超[1] 欧杰[1] 曹祺[1] 

机构地区：[1]中国飞行试验研究院飞行仿真实验室,陕西西安710089

出　　处：《飞行力学》2010年第1期36-39,共4页Flight Dynamics

基　　金：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。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 threat avoidance abilities. The proposed method can provide a low altitude penetration vehicle with a referenced flight path satisfying the tactics requirement.

关 键 词：遗传算法 航迹规划 低空突防 威胁回避 

分 类 号：V249.1[航空宇航科学与技术—飞行器设计] TP391.9[自动化与计算机技术—计算机应用技术]