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Mathematical Models and Reinforcement Learning based Evolutionary Algorithm Framework for Satellite Scheduling Problem

2023-01-07 · Yanjie Song

For complex combinatorial optimization problems, models and algorithms are at the heart of the solution. The complexity of many types of satellite mission planning problems is NP-hard and places high demands on the solution. In this paper, two types of satellite scheduling problem models are introduced and a reinforcement learning based evolutionary algorithm framework based is proposed.

📄 PDF Abstract BibTeX arXiv:2301.02764

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Combinatorial OptimizationManagementreinforcement-learningReinforcement LearningReinforcement Learning (RL)Scheduling

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GRU A Gated Recurrent Unit, or GRU, is a type of recurrent neural network. It is similar to an LSTM, but only has two gates - a reset…

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