自适应遗传算法在飞行器离线航迹规划中的应用

飞行器航迹规划是一个多目标多约束的三维规划问题。根据分层规划思想,确定离线参考航迹是飞行器低空突防前要解决的首要问题。针对遗传算法中局部最优与全局最优之间的矛盾,采用自适应遗传算法进行离线的航迹规划,用极坐标编码方式在飞行方向上构造染色体。进化过程中采用自适应交叉概率和变异概率,并尽可能把符合实际情况的各种约束考虑到问题中。仿真结果表明,算法避免了早期收敛,提高了全局寻优能力,是解决实际飞行器离线航迹规划问题的较好方法。

Application of Adaptive Genetic Algorithm in Aircraft Off-Line Route Planning

Air vehicle route planning is a three-dimensional planning problem with multiple objects and constraints. According to hierarchical path planning,the off-line referenced route path should be determined first before low altitude penetration. To resolve the conflict between partial optimization and global optimization in genetic algorithm,an adaptive genetic algorithm was adopted for the off-line route path planning. The chromosome was constructed by a sequenced of flight directions using a polar coordinate c...