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A transformer-based deep reinforcement learning approach for dynamic parallel machine scheduling problem with family setups.

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Title: A transformer-based deep reinforcement learning approach for dynamic parallel machine scheduling problem with family setups.
Authors: Li, Funing1,2, funing.li@ift.uni-stuttgart.de, Lang, Sebastian2,3, sebastian.lang@ovgu.de, Tian, Yuan4, yutian@ethz.ch, Hong, Bingyuan5, hongby@zjou.edu.cn, Rolf, Benjamin2, benjamin.rolf@ovgu.de, Noortwyck, Ruben1, ruben.noortwyck@ift.uni-stuttgart.de, Schulz, Robert1, robert.schulz@ift.uni-stuttgart.de, Reggelin, Tobias2, tobias.reggelin@ovgu.de
Source: Journal of Intelligent Manufacturing; Oct2025, Vol. 36 Issue 7, p4735-4768, 34p
Database: Applied Science & Technology Source
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ISSN:09565515
DOI:10.1007/s10845-024-02470-8