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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 Population-Based Iterated Greedy Algorithm for Distributed Assembly No-Wait Flow-Shop Scheduling Problem
Fuqing Zhao, Zesong Xu, Ling Wang, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 5, pp. 6692-6705
Closed Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

A Reinforcement Learning Driven Cooperative Meta-Heuristic Algorithm for Energy-Efficient Distributed No-Wait Flow-Shop Scheduling With Sequence-Dependent Setup Time
Fuqing Zhao, Tao Jiang, Ling Wang
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 7, pp. 8427-8440
Closed Access | Times Cited: 68
A Pareto-Based Discrete Jaya Algorithm for Multiobjective Carbon-Efficient Distributed Blocking Flow Shop Scheduling Problem
Fuqing Zhao, Hui Zhang, Ling Wang
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 8, pp. 8588-8599
Closed Access | Times Cited: 68
Co-Evolution With Deep Reinforcement Learning for Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling
Rui Li, Wenyin Gong, Ling Wang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 54, Iss. 1, pp. 201-211
Closed Access | Times Cited: 44
An Iterative Greedy Algorithm With Q-Learning Mechanism for the Multiobjective Distributed No-Idle Permutation Flowshop Scheduling
Fuqing Zhao, Changxue Zhuang, Ling Wang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 5, pp. 3207-3219
Closed Access | Times Cited: 25
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 Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities
Cong Luo, Wenyin Gong, Fei Ming, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101497-101497
Closed Access | Times Cited: 19
Scheduling of stochastic distributed hybrid flow-shop by hybrid estimation of distribution algorithm and proximal policy optimization
Lin Luo, Xuesong Yan
Expert Systems with Applications (2025), pp. 126523-126523
Closed Access | Times Cited: 2
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
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems
Minglong Gao, Kaizhou Gao, Zhenfang Ma, et al.
Swarm and Evolutionary Computation (2023) Vol. 82, pp. 101358-101358
Closed Access | Times Cited: 33
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
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
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 collaborative iterated greedy algorithm with reinforcement learning for energy-aware distributed blocking flow-shop scheduling
Haizhu Bao, Quan-Ke Pan, Rubén Ruíz, et al.
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101399-101399
Closed Access | Times Cited: 20
Double DQN-Based Coevolution for Green Distributed Heterogeneous Hybrid Flowshop Scheduling With Multiple Priorities of Jobs
Rui Li, Wenyin Gong, Ling Wang, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 4, pp. 6550-6562
Closed Access | Times Cited: 18
A knowledge-driven cooperative scatter search algorithm with reinforcement learning for the distributed blocking flow shop scheduling problem
Fuqing Zhao, Gang Zhou, Tianpeng Xu, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120571-120571
Closed Access | Times Cited: 16
Modeling and Scheduling a Constrained Flowshop in Distributed Manufacturing Environments
Bingtao Wang, Quan-Ke Pan, Liang Gao, et al.
Journal of Manufacturing Systems (2024) Vol. 72, pp. 519-535
Closed Access | Times Cited: 6
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 Inverse Reinforcement Learning Algorithm with Population Evolution Mechanism for The Multi-objective Flexible Job-shop Scheduling Problem under Time-of-use Electricity Tariffs
Fuqing Zhao, Weiyuan Wang, Ningning Zhu, et al.
Applied Soft Computing (2025), pp. 112764-112764
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
Graph reinforcement learning-based machining-assembly dual-shop production scheduling
Kai Ding, Wenjuan Li, Yirong Zhang, et al.
Journal of Engineering Design (2025), pp. 1-26
Closed Access
Logic-based Benders decomposition methods for the distributed permutation flow shop scheduling problem with production and transportation cost
Fuli Xiong, J. Y. Shi, Lin Jing, et al.
Computers & Operations Research (2025), pp. 107044-107044
Closed 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
Optimal Identification of Unknown Parameters of Photovoltaic Models Using Dual-Population Gaining-Sharing Knowledge-Based Algorithm
Guojiang Xiong, Lei Li, Ali Wagdy Mohamed, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-24
Open Access | Times Cited: 13
An archive-based self-adaptive artificial electric field algorithm with orthogonal initialization for real-parameter optimization problems
Dikshit Chauhan, Anupam Yadav
Applied Soft Computing (2023) Vol. 150, pp. 111109-111109
Closed Access | Times Cited: 13
A Reinforcement-Learning-Based 3-D Estimation of Distribution Algorithm for Fuzzy Distributed Hybrid Flow-Shop Scheduling Considering On-Time-Delivery
Libao Deng, Yuanzhu Di, Ling Wang
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 2, pp. 1024-1036
Closed Access | Times Cited: 13
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