Graph neural network and expert-guided deep reinforcement learning for solving flexible job-shop scheduling problem

Wenqiang Zhang; Xuan Bao; Huili Geng; Guohui Zhang; Mitsuo Gen

doi:10.1016/j.cor.2025.107155

ScienceGate Book Chapters

JOURNAL ARTICLE

Graph neural network and expert-guided deep reinforcement learning for solving flexible job-shop scheduling problem

Wenqiang Zhang Xuan Bao Huili Geng Guohui Zhang Mitsuo Gen

Year: 2025 Journal: Computers & Operations Research Vol: 183 Pages: 107155-107155 Publisher: Elsevier BV

DOI: 10.1016/j.cor.2025.107155

Get Full-Text PDF Get Analytical Report

Keywords:

Reinforcement learning Computer science Job shop scheduling Artificial intelligence Scheduling (production processes) Artificial neural network Graph Job shop Machine learning Mathematical optimization Theoretical computer science Flow shop scheduling Mathematics Schedule

Metrics

Cited By

7.22

FWCI (Field Weighted Citation Impact)

Refs

0.92

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

Assembly Line Balancing Optimization

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Graph neural network and expert-guided deep reinforcement learning for solving flexible job-shop scheduling problem

Metrics

Citation History

Topics

Related Documents

Expert-Guided Deep Reinforcement Learning for Flexible Job Shop Scheduling Problem

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

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

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

Deep reinforcement learning-based spatio-temporal graph neural network for solving job shop scheduling problem