Evolutionary algorithm with individual-distribution search strategy and regression-classification surrogates for expensive optimization DOI
Genghui Li, Lindong Xie, Zhenkun Wang

et al.

Information Sciences, Journal Year: 2023, Volume and Issue: 634, P. 423 - 442

Published: March 23, 2023

Language: Английский

A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems DOI
Yaxian Ren, Kaizhou Gao, Yaping Fu

et al.

Swarm and Evolutionary Computation, Journal Year: 2023, Volume and Issue: 80, P. 101338 - 101338

Published: May 24, 2023

Language: Английский

Citations

50
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities DOI
Yanjie Song, Yutong Wu, Yangyang Guo

et al.

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 86, P. 101517 - 101517

Published: Feb. 27, 2024

Language: Английский

Citations

36
A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution DOI

Zhengpei Zhang,

Yaping Fu, Kaizhou Gao

et al.

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 85, P. 101467 - 101467

Published: Jan. 1, 2024

Language: Английский

Citations

25
MRLM: A meta-reinforcement learning-based metaheuristic for hybrid flow-shop scheduling problem with learning and forgetting effects DOI
Zeyu Zhang, Zhongshi Shao, Weishi Shao

et al.

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 85, P. 101479 - 101479

Published: Jan. 10, 2024

Language: Английский

Citations

21
Evolutionary algorithm incorporating reinforcement learning for energy-conscious flexible job-shop scheduling problem with transportation and setup times DOI
Guohui Zhang, Shaofeng Yan, Xiaohui Song

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 107974 - 107974

Published: Feb. 13, 2024

Language: Английский

Citations

21
A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities DOI
Cong Luo, Wenyin Gong, Fei Ming

et al.

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 85, P. 101497 - 101497

Published: Feb. 2, 2024

Language: Английский

Citations

20
HGNP: A PCA-based heterogeneous graph neural network for a family distributed flexible job shop DOI

Jiake Li,

Junqing Li, Ying Xu

et al.

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 110855 - 110855

Published: Jan. 1, 2025

Language: Английский

Citations

6
Local search-based meta-heuristics combined with an improved K-Means++ clustering algorithm for unmanned surface vessel scheduling DOI
Weiyu Tang, Kaizhou Gao, Zhenfang Ma

et al.

International Journal of Production Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 25

Published: Feb. 26, 2025

Language: Английский

Citations

2
Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems DOI
Hui Yu, Kaizhou Gao, Zhenfang Ma

et al.

Swarm and Evolutionary Computation, Journal Year: 2023, Volume and Issue: 80, P. 101335 - 101335

Published: May 11, 2023

Language: Английский

Citations

43
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