Deep Reinforcement Learning Based on Graph Neural Network for Flexible Job Shop Scheduling Problem with Lot Streaming

Junchao He; Junqing Li

doi:10.1007/978-981-97-5675-9_8

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Deep Reinforcement Learning Based on Graph Neural Network for Flexible Job Shop Scheduling Problem with Lot Streaming

Junchao He Junqing Li

Year: 2024 Lecture notes in computer science Pages: 85-95 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-97-5675-9_8

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Keywords:

Computer science Reinforcement learning Job shop scheduling Scheduling (production processes) Artificial neural network Artificial intelligence Mathematical optimization Computer network Mathematics

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Cited By

1.90

FWCI (Field Weighted Citation Impact)

Refs

0.80

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Scheduling and Optimization Algorithms

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Advanced Manufacturing and Logistics Optimization

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Optimization and Search Problems

Physical Sciences → Computer Science → Computer Networks and Communications

Deep Reinforcement Learning Based on Graph Neural Network for Flexible Job Shop Scheduling Problem with Lot Streaming

Metrics

Citation History

Topics

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