Selection hyperheuristic with knowledge-based Q-learning for dynamic distributed hybrid flow shop scheduling problem considering operation inspection DOI
Lin Luo, Xuesong Yan

Swarm and Evolutionary Computation, Journal Year: 2025, Volume and Issue: 95, P. 101936 - 101936

Published: April 17, 2025

Language: Английский

Scheduling of stochastic distributed hybrid flow-shop by hybrid estimation of distribution algorithm and proximal policy optimization DOI
Lin Luo, Xuesong Yan

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126523 - 126523

Published: Jan. 1, 2025

Language: Английский

Citations

5
Q-learning driven multi-population memetic algorithm for distributed three-stage assembly hybrid flow shop scheduling with flexible preventive maintenance DOI
Yanhe Jia, Qi Yan, Hongfeng Wang

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 232, P. 120837 - 120837

Published: June 19, 2023

Language: Английский

Citations

40
Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems DOI
Yaping Fu, Yifeng Wang, Kaizhou Gao

et al.

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 120, P. 109780 - 109780

Published: Oct. 18, 2024

Language: Английский

Citations

15
Evolutionary computation and reinforcement learning integrated algorithm for distributed heterogeneous flowshop scheduling DOI
Rui Li, Ling Wang, Wenyin Gong

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 135, P. 108775 - 108775

Published: June 12, 2024

Language: Английский

Citations

9
An end-to-end decentralised scheduling framework based on deep reinforcement learning for dynamic distributed heterogeneous flowshop scheduling DOI
Haoran Li, Liang Gao,

Qingsong Fan

et al.

International Journal of Production Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21

Published: Jan. 23, 2025

Language: Английский

Citations

1
Solving multi-task manufacturing cloud service allocation problems via bee colony optimizer with transfer learning DOI
Jiajun Zhou, Liang Gao, Chao Lu

et al.

Advanced Engineering Informatics, Journal Year: 2023, Volume and Issue: 56, P. 101984 - 101984

Published: April 1, 2023

Language: Английский

Citations

19
Multi-agent deep reinforcement learning for dynamic reconfigurable shop scheduling considering batch processing and worker cooperation DOI

Yuxin Li,

Xinyu Li, Liang Gao

et al.

Robotics and Computer-Integrated Manufacturing, Journal Year: 2024, Volume and Issue: 91, P. 102834 - 102834

Published: July 18, 2024

Language: Английский

Citations

7
Self-Adaptive Population-Based Iterated Greedy Algorithm for Distributed Permutation Flowshop Scheduling Problem with Part of Jobs Subject to a Common Deadline Constraint DOI
Qiuying Li, Quan-Ke Pan, Hongyan Sang

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 248, P. 123278 - 123278

Published: Jan. 18, 2024

Language: Английский

Citations

6
A multi-disjunctive-graph model-based memetic algorithm for the distributed job shop scheduling problem DOI

Sihan Wang,

Xinyu Li, Liang Gao

et al.

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 60, P. 102401 - 102401

Published: Feb. 13, 2024

Language: Английский

Citations

6
Deep reinforcement learning for dynamic distributed job shop scheduling problem with transfers DOI
Yong Lei, Qianwang Deng,

Mengqi Liao

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 251, P. 123970 - 123970

Published: April 17, 2024

Language: Английский

Citations

6