Abstract
A Learning-Based Approach for Agile Satellite Onboard Scheduling
Highlights
Over the years, there have been increasing research attention on developing autonomous agile earth observing satellites among space powers in the world [9], [11], [22]
A LEARING-BASED APPROACH FOR agile earth observing satellite (AEOS) ONBOARD SCHEDULING we present a learning-based approach (LBA) towards the AEOS onboard scheduling in detail, including the general framework and its components
The proposed LBA is able to achieve approximately 91.3% of the total profits obtained by ALNS in offline mode on average. This is quite satisfactorily as not like offline ALNS, LBA solves a couple of rescheduling problems to form the solution of the original entire problem where in this way, the input tasks may be less
Summary
College of Systems Engineering, National University of Defense Technology, Changsha 410073, China.
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