An important economical issue for a space agency like China Center for Resource Satellite Data and Applications (CRESDA) is the optimization of the schedule of its earth observing satellites. The management of the constellation consists of selecting a feasible subset of requests and scheduling the observation activities of the satellites to acquire images as well as scheduling the download activities to transmit the images hack to a set of ground stations, with the objective to maximize the summed rewards of the targets observed and image-downloaded. These selected and scheduled sequence of observations and downloads must comply with visibility time-windows, observing and downloading durations, satellite memory capacity, and minimum transition times between observations and downloads.
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