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.

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