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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:

A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints
Haoxiang Qin, Yuyan Han, Yiping Liu, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 117256-117256
Closed Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Neural Network-based control using Actor-Critic Reinforcement Learning and Grey Wolf Optimizer with experimental servo system validation
Iuliu Alexandru Zamfirache, Radu‐Emil Precup, Raul‐Cristian Roman, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120112-120112
Closed Access | Times Cited: 85
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
Improved Jaya algorithm for energy-efficient distributed heterogeneous permutation flow shop scheduling
Qiwen Zhang, Zhen Tian
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access | Times Cited: 1
Intelligent optimization under the makespan constraint: Rapid evaluation mechanisms based on the critical machine for the distributed flowshop group scheduling problem
Yuhang Wang, Yuyan Han, Yuting Wang, et al.
European Journal of Operational Research (2023) Vol. 311, Iss. 3, pp. 816-832
Closed Access | Times Cited: 35
A multiobjective memetic algorithm with particle swarm optimization and Q-learning-based local search for energy-efficient distributed heterogeneous hybrid flow-shop scheduling problem
Wenqiang Zhang, Chen Li, Mitsuo Gen, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121570-121570
Closed Access | Times Cited: 35
Historical information based iterated greedy algorithm for distributed flowshop group scheduling problem with sequence-dependent setup times
Xuan He, Quan-Ke Pan, Liang Gao, et al.
Omega (2023) Vol. 123, pp. 102997-102997
Closed Access | Times Cited: 31
A tri-individual iterated greedy algorithm for the distributed hybrid flow shop with blocking
Feige Liu, Guiling Li, Chao Lu, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121667-121667
Closed Access | Times Cited: 26
An improved multi-population genetic algorithm with a greedy job insertion inter-factory neighborhood structure for distributed heterogeneous hybrid flow shop scheduling problem
Hanghao Cui, Xinyu Li, Liang Gao
Expert Systems with Applications (2023) Vol. 222, pp. 119805-119805
Closed Access | Times Cited: 24
An effective two-stage iterated greedy algorithm for distributed flowshop group scheduling problem with setup time
Yuhang Wang, Yuyan Han, Yuting Wang, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120909-120909
Closed Access | Times Cited: 23
Solving multi-objective hybrid flowshop lot-streaming scheduling with consistent and limited sub-lots via a knowledge-based memetic algorithm
Yingying Zhu, Qiuhua Tang, Lixin Cheng, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 106-125
Closed Access | Times Cited: 9
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 Reinforcement Learning Driven Artificial Bee Colony Algorithm for Distributed Heterogeneous No-Wait Flowshop Scheduling Problem With Sequence-Dependent Setup Times
Fuqing Zhao, Zhenyu Wang, Ling Wang
IEEE Transactions on Automation Science and Engineering (2022) Vol. 20, Iss. 4, pp. 2305-2320
Closed Access | Times Cited: 31
A review of intelligent optimization for group scheduling problems in cellular manufacturing
Yuting Wang, Yuyan Han, Dunwei Gong, et al.
Frontiers of Engineering Management (2023) Vol. 10, Iss. 3, pp. 406-426
Closed Access | Times Cited: 17
Self-Adaptive Population-Based Iterated Greedy Algorithm for Distributed Permutation Flowshop Scheduling Problem with Part of Jobs Subject to a Common Deadline Constraint
Qiuying Li, Quan-Ke Pan, Hongyan Sang, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123278-123278
Closed Access | Times Cited: 6
An iterated greedy algorithm with acceleration of job allocation probability for distributed heterogeneous permutation flowshop scheduling problem
Haoran Li, Xinyu Li, Liang Gao
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101580-101580
Closed Access | Times Cited: 6
A variable-representation discrete artificial bee colony algorithm for a constrained hybrid flow shop
Zecheng Wang, Quan-Ke Pan, Liang Gao, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124349-124349
Closed Access | Times Cited: 6
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
A knowledge-driven scatter search algorithm for the distributed hybrid flow shop scheduling problem
Yang Zuo, Fuqing Zhao, Jianlin Zhang
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109915-109915
Closed Access
A Q-learning grey wolf optimizer for a distributed hybrid flowshop rescheduling problem with urgent job insertion
Shuilin Chen, Jianguo Zheng
Journal of Applied Mathematics and Computing (2025)
Closed Access
A Q-learning-driven genetic algorithm for the distributed hybrid flow shop group scheduling problem with delivery time windows
Qianhui Ji, Yuyan Han, Yuting Wang, et al.
Information Sciences (2025), pp. 121971-121971
Closed Access
Integrated optimisation of dynamic scheduling and reconfiguration for distributed reconfigurable flowshops via iterated greedy algorithm
Shengluo Yang, Junyi Wang, Weidong Li, et al.
International Journal of Systems Science Operations & Logistics (2025) Vol. 12, Iss. 1
Closed Access
Multi-objective Human-Robot collaborative batch scheduling in distributed hybrid flowshop via automatic design of local search-reconstruction-feedback algorithm
Peng He, Xuchu Jiang, Qi Wang, et al.
Computers & Industrial Engineering (2025), pp. 110983-110983
Closed Access
A Deep Reinforcement Learning-Based Evolutionary Algorithm for Distributed Heterogeneous Green Hybrid Flowshop Scheduling
Hua Xu, Lan Huang, Juntai Tao, et al.
Processes (2025) Vol. 13, Iss. 3, pp. 728-728
Open Access
Cooperation-based bi-level rescheduling method for multi-objective distributed hybrid flow shop with unrelated parallel machines under multi-type disturbances
Hanghao Cui, Xinyu Li, Liang Gao, et al.
International Journal of Computer Integrated Manufacturing (2025), pp. 1-23
Closed Access
A systematic literature review on energy-efficient hybrid flow shop scheduling
Dana Marsetiya Utama, Meri Dines Primayesti, Sabila Zahra Umamy, et al.
Cogent Engineering (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 15
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