A novel method-based reinforcement learning with deep temporal difference network for flexible double shop scheduling problem
Abstract This paper studies the flexible double shop scheduling problem (FDSSP) that considers simultaneously job shop and assembly shop. It brings about the problem of scheduling association of the related tasks. To this end, a reinforcement learning algorithm with a deep temporal difference networ...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-04-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-59414-8 |