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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Q-learning driven multi-population memetic algorithm for distributed three-stage assembly hybrid flow shop scheduling with flexible preventive maintenance
Yanhe Jia, Qi Yan, Hongfeng Wang
Expert Systems with Applications (2023) Vol. 232, pp. 120837-120837
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Mathematical model and knowledge-based iterated greedy algorithm for distributed assembly hybrid flow shop scheduling problem with dual-resource constraints
Fei Yu, Chao Lu, Jiajun Zhou, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122434-122434
Closed Access | Times Cited: 39
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities
Yanjie Song, Yutong Wu, Yangyang Guo, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101517-101517
Open Access | Times Cited: 31
Modeling and optimization algorithm for energy-efficient distributed assembly hybrid flowshop scheduling problem considering worker resources
Fei Yu, Chao Lu, Lvjiang Yin, et al.
Journal of Industrial Information Integration (2024) Vol. 40, pp. 100620-100620
Closed Access | Times Cited: 22
A Learning-Driven Multi-Objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and transportation operations
Zhengpei Zhang, Yaping Fu, Kaizhou Gao, et al.
Computers & Industrial Engineering (2024) Vol. 196, pp. 110484-110484
Closed Access | Times Cited: 18
MRLM: A meta-reinforcement learning-based metaheuristic for hybrid flow-shop scheduling problem with learning and forgetting effects
Zeyu Zhang, Zhongshi Shao, Weishi Shao, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101479-101479
Closed Access | Times Cited: 15
Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems
Yaping Fu, Yifeng Wang, Kaizhou Gao, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109780-109780
Closed Access | Times Cited: 10
A feedback learning-based selection hyper-heuristic for distributed heterogeneous hybrid blocking flow-shop scheduling problem with flexible assembly and setup time
Zhongshi Shao, Weishi Shao, Jianrui Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107818-107818
Closed Access | Times Cited: 8
A discrete artificial bee colony algorithm and its application in flexible flow shop scheduling with assembly and machine deterioration effect
Ming Li, Ching‐Ter Chang, Zhi Liu
Applied Soft Computing (2024) Vol. 159, pp. 111593-111593
Closed Access | Times Cited: 5
A Q-learning driven multi-objective evolutionary algorithm for worker fatigue dual-resource-constrained distributed hybrid flow shop
Haonan Song, Junqing Li, Zhaosheng Du, et al.
Computers & Operations Research (2024), pp. 106919-106919
Closed Access | Times Cited: 5
Maintenance-driven multi-stage joint optimization considering spare parts production, distribution and imperfect maintenance
Qiang Luo, Qianwang Deng, Huining Zhuang, et al.
Reliability Engineering & System Safety (2025), pp. 110799-110799
Closed Access
A knowledge-driven memetic algorithm for distributed green flexible job shop scheduling considering the endurance of machines
Libao Deng, Yixuan Qiu, Yuanzhu Di, et al.
Applied Soft Computing (2025) Vol. 170, pp. 112697-112697
Closed Access
A Memetic Algorithm Approach for the Job-Shop Scheduling Problem with Variable Machine Efficiency and Maintenance Activities
David Freud, Amir Elalouf
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1431-1431
Open Access
Multi-objective optimization for energy-efficient hybrid flow shop scheduling problem in panel furniture intelligent manufacturing with transportation constraints
Xinyi Yue, Xianqing Xiong, Mei Zhang, et al.
Expert Systems with Applications (2025), pp. 126830-126830
Closed Access
Double Deep Q-Network-Based Solution to a Dynamic, Energy-Efficient Hybrid Flow Shop Scheduling System with the Transport Process
Qinglei Zhang, Han Si, Jiyun Qin, et al.
Systems (2025) Vol. 13, Iss. 3, pp. 170-170
Open Access
Hybrid flow shop scheduling with continuous processing and resource threshold constraints: A case of steel plant
Zhangsheng Su, Chao Deng, Raymond Chiong, et al.
Expert Systems with Applications (2025), pp. 127247-127247
Closed Access
A Q-learning-based multi-objective hyper-heuristic algorithm with fuzzy policy decision technology
Fuqing Zhao, Zewu Geng, Jianlin Zhang, et al.
Expert Systems with Applications (2025), pp. 127232-127232
Closed Access
Joint maintenance and spare part ordering from multiple suppliers for multicomponent systems using a deep reinforcement learning algorithm
Meimei Zheng, Zhiyun Su, Dong Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109628-109628
Closed Access | Times Cited: 14
Collaborative-sequential optimization for aero-engine maintenance based on multi-agent reinforcement learning
Zeqi Wei, Zhibin Zhao, Zheng Zhou, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123358-123358
Closed Access | Times Cited: 3
Integrated two-stage multi-factory assembly scheduling with maintenance considerations
Hamed Kazemi, Mustapha Nourelfath, Amir M. Fathollahi-Fard, et al.
International Journal of Production Research (2024), pp. 1-17
Closed Access | Times Cited: 3
Modelling and optimization of distributed assembly hybrid flowshop scheduling problem with transportation resource scheduling
Qiang Luo, Qianwang Deng, Xin Guo, et al.
Computers & Industrial Engineering (2023) Vol. 186, pp. 109717-109717
Closed Access | Times Cited: 8
Production costs and total completion time minimization for three-stage mixed-model assembly job shop scheduling with lot streaming and batch transfer
Lixin Cheng, Qiuhua Tang, Liping Zhang
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107729-107729
Closed Access | Times Cited: 8
A Q-learning-based multi-population algorithm for multi-objective distributed heterogeneous assembly no-idle flowshop scheduling with batch delivery
Zikai Zhang, Qiuhua Tang, Liping Zhang, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125690-125690
Closed Access | Times Cited: 2
A two-stage cross-neighborhood search algorithm bridging different solution representation spaces for solving the hybrid flow shop scheduling problem
Yuan Kuang, Xiuli Wu, Ziqi Chen, et al.
Swarm and Evolutionary Computation (2023) Vol. 84, pp. 101455-101455
Closed Access | Times Cited: 6
A new data-driven production scheduling method based on digital twin for smart shop floors
Yumin Ma, Luyao Li, Jiaxuan Shi, et al.
Expert Systems with Applications (2024) Vol. 264, pp. 125869-125869
Closed Access | Times Cited: 1
An Artificial Bee Colony Algorithm for Coordinated Scheduling of Production Jobs and Flexible Maintenance in Permutation Flowshops
Asma Ladj, Fatima Benbouzid-Si Tayeb, Alaeddine Dahamni, et al.
Technologies (2024) Vol. 12, Iss. 4, pp. 45-45
Open Access
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