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An end-to-end deep reinforcement learning method based on graph neural network for distributed job-shop scheduling problem.
Jiang-Ping Huang
Liang Gao
Xinyu Li
Published in:
Expert Syst. Appl. (2024)
Keyphrases
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end to end
neural network
reinforcement learning
job shop scheduling problem
dynamic programming
cost function
information retrieval
computational complexity
artificial neural networks
clustering method
tree structure
combinatorial optimization