摘要
提出了基于遗传算法的飞行器多航迹规划方法。该方法设计了一种新的分类评价体系,有效地解决了在约束条件多、部分约束条件互相冲突情况下的航迹评价问题。同时采用实数编码的染色体表示方法和特殊设计的进化算子,所有个体在各自子种群中同时进化。最后每个种群取一条最优航迹从而得到多条航迹。计算机仿真结果证明了该方法的有效性。
A new multiple routes planner for air vehicle based on Genetic Algorithm is proposed.The approach designs a new classifying-evaluation system,which efficiently solves the route evaluation in the case of various mission constraints,part of which conflict.Using a real-value representation of chromosome and specific operators,all routes evolve in their own sub-population at the same time.At the end of the evolution,each sub-population provides an optimal route,and thus algorithm generates multiple routes for the vehicle.The results of simulation demonstrate the feasibility of the approach.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第31期216-218,225,共4页
Computer Engineering and Applications
关键词
多航迹规划
分类
航迹评价
遗传算法
飞行器
multiple routes planning
classifying
route evaluation
genetic algorithm
air vehicle
