A Knowledge-Based Scheduling Method for Multi-satellite Range System.

Satellite range systems (SRSs) play an important role in managing satellite resources and ensuring the smooth measurement and control of satellites. The increasing demand for satellite applications has made it more difficult to manage measurement and control tasks. Therefore, an efficient measurement and control system is needed to fulfil these task requests. Satellite range system, selects execution orders and locations for tasks according to the improved adaptive large neighbourhood search algorithm (ALNS-I). ALNS-I introduces heuristic rules into the initial population generation by considering the characteristics of the SRSP problem in the destruction and repair methods. A neighborhood search method is used to perform a local search when there is no clear optimization effect. The efficiencies of the framework and the algorithm are verified by experiments. The experimental results show that ALNS-I can achieve a higher task reward and task completion rate than comparison algorithms.