Agent-based approach integrating deep reinforcement learning and hybrid genetic algorithm for dynamic scheduling for Industry 3.5 smart production
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Title
Agent-based approach integrating deep reinforcement learning and hybrid genetic algorithm for dynamic scheduling for Industry 3.5 smart production
Authors
Keywords
Deep reinforcement learning, Dynamic scheduling, Hybrid genetic algorithm, Semiconductor manufacturing, Industry 3.5
Journal
COMPUTERS & INDUSTRIAL ENGINEERING
Volume 162, Issue -, Pages 107782
Publisher
Elsevier BV
Online
2021-10-31
DOI
10.1016/j.cie.2021.107782
References
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