基于改进遗传算法的射电望远镜主动面布线优化

摘要

In order to improve the reliability of actuators and real-time adjustment of radio telescope active surface, an improved algorithm was used to optimize the active surface wiring problem of 65 m radio telescope. For a 15° partition of active surface, considering the actuator reliability, the number of groups and the total length, a group-based optimization method was proposed, in which several new mutation methods were designed based on the best individuals among groups. The results show that improved genetic algorithm (GA) has better performance than traditional GA in convergence speed and stability, and it can be used to improve the reliability of actuators.%为了提高射电望远镜主动面系统促动器的工作可靠性,进而提高主动面的实时调整性,利用改进的遗传算法对上海65 m射电望远镜的主动面布线问题进行优化.取主动面的1个15°分区为研究对象,以促动器可靠性、布线分组数和布线总长为目标,在传统遗传算法的基础上,引入分组优化的方法,并设计基于组内最优个体的多种新的变异方式.研究结果表明:该算法可用于射电望远镜主动面的布线优化,提高了促动器的可靠性,且算法收敛速度和稳定性均优于传统遗传算法.