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Optimizing satellite task scheduling to enhance performance is a key focus area. This study addresses the scheduling of remote sensing satellite tasks to optimize multiple objectives, specifically failure rate and mission timeliness, through artificial intelligence methods.
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This page is a summary of: Enhancing Remote-Sensing Satellite Task Scheduling Using Reinforcement Learning and Multi-Objective Optimization, Journal of Aerospace Information Systems, August 2025, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.i011555.
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