Flexible robotic cell scheduling with graph neural network based deep reinforcement learning

Donghai Wang; Shun Liu; Jing Zou; Wei Qiao; Jin Sun

doi:10.1016/j.jmsy.2024.11.010

ScienceGate Book Chapters

JOURNAL ARTICLE

Flexible robotic cell scheduling with graph neural network based deep reinforcement learning

Donghai Wang Shun Liu Jing Zou Wei Qiao Jin Sun

Year: 2024 Journal: Journal of Manufacturing Systems Vol: 78 Pages: 81-93 Publisher: Elsevier BV

DOI: 10.1016/j.jmsy.2024.11.010

Get Full-Text PDF Get Analytical Report

Keywords:

Reinforcement learning Computer science Scheduling (production processes) Artificial intelligence Artificial neural network Graph Reinforcement Distributed computing Mathematical optimization Theoretical computer science Engineering Mathematics Structural engineering

Metrics

Cited By

3.41

FWCI (Field Weighted Citation Impact)

Refs

0.89

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

Flexible robotic cell scheduling with graph neural network based deep reinforcement learning

Metrics

Citation History

Topics

Related Documents

Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning

Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning

Flexible job shop scheduling via deep reinforcement learning with meta-path-based heterogeneous graph neural network

Meta-relation-based heterogeneous graph neural network with deep reinforcement learning for flexible job shop scheduling

Deep Reinforcement Learning With Heterogeneous Graph Neural Network for Flexible Job Shop Scheduling Problem