摘要
航迹规划是巡航导弹任务规划的核心,针对巡航导弹发射目标应满足多性能指标的航迹规划。为确保巡航导弹高效完成作战任务,提出要以巡航导弹水平航迹规划为应用背景,将量子遗传算法应用到巡航导弹的航迹规划中,首先在传统量子遗传算法基础上了引入了量子门旋转角步长动态调整机制、增加了量子交叉操作和量子变异操作,使得改进后的量子遗传算法具有更高的搜索效率。通过仿真验证了改进算法比GA算法、传统QGA算法具有更快的收敛速度和全局搜索能力,适用于巡航导弹的水平航迹规划,为巡航导弹多目标发射规划提供了依据。
Route planning is the most important part of cruise missile mission planning system. The paper mainly did some work on the horizontal route planning of cruise missile using the quantum genetic algorithm. The quantum genetic algorithm was firstly applied to the cruise missile route planning and then some improved strategies were a-dopted on the traditional quantum genetic algorithm, such as adopting the dynamic adjustment mechanism of the rota- tion of quantum gate and adding the quantum crossover and mutation operation. The the quantum genetic algorithm with the improved strategies had better searching efficiency. Lastly, the simulation shows that the IQGA has faster convergence speed and searching efficiency than the GA and QGA.
出处
《计算机仿真》
CSCD
北大核心
2012年第9期109-112,共4页
Computer Simulation
关键词
巡航导弹
航迹规划
量子遗传
量子门
Cruise missile
Route planning
Genetic algorithm
Quantum gate
