A Deep Reinforcement Learning Method for Flexible Job-Shop Scheduling Problem

Changshun Shao; Zhenglin Yu; Hongchang Ding; Guohua Cao

doi:10.1109/icecai62591.2024.10675292

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JOURNAL ARTICLE

A Deep Reinforcement Learning Method for Flexible Job-Shop Scheduling Problem

Changshun Shao Zhenglin Yu Hongchang Ding Guohua Cao

Year: 2024 Vol: 41.3 Pages: 184-188

DOI: 10.1109/icecai62591.2024.10675292

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Keywords:

Reinforcement learning Computer science Job shop scheduling Scheduling (production processes) Reinforcement Artificial intelligence Industrial engineering Mathematical optimization Engineering Mathematics Structural engineering Operating system Schedule

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Scheduling and Optimization Algorithms

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

A Deep Reinforcement Learning Method for Flexible Job-Shop Scheduling Problem

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