Applying Multi-agent Reinforcement Learning and Graph Neural Networks to Flexible Job Shop Scheduling Problem

Seung Heon Oh; Young In Cho; Jong Hun Woo

doi:10.1007/978-3-031-43670-3_35

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Applying Multi-agent Reinforcement Learning and Graph Neural Networks to Flexible Job Shop Scheduling Problem

Seung Heon Oh Young In Cho Jong Hun Woo

Year: 2023 IFIP advances in information and communication technology Pages: 506-519 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-43670-3_35

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Keywords:

Reinforcement learning Computer science Scheduling (production processes) Pairwise comparison Mathematical optimization Graph Job shop scheduling Artificial neural network Scalability Artificial intelligence Metaheuristic Theoretical computer science Mathematics

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Scheduling and Optimization Algorithms

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Smart Grid Energy Management

Physical Sciences → Engineering → Electrical and Electronic Engineering

Elevator Systems and Control

Physical Sciences → Engineering → Control and Systems Engineering

Applying Multi-agent Reinforcement Learning and Graph Neural Networks to Flexible Job Shop Scheduling Problem

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