An actor-critic framework based on deep reinforcement learning for addressing flexible job shop scheduling problems
With the rise of Industry 4.0, manufacturing is shifting towards customization and flexibility, presenting new challenges to meet rapidly evolving market and customer needs. To address these challenges, this paper suggests a novel approach to address flexible job shop scheduling problems (FJSPs) thr...
Main Authors: | Cong Zhao, Na Deng |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2024-01-01
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Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2024062?viewType=HTML |
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