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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 matrix cube-based estimation of distribution algorithm for the energy-efficient distributed assembly permutation flow-shop scheduling problem
Zi-Qi Zhang, Rong Hu, Bin Qian, et al.
Expert Systems with Applications (2022) Vol. 194, pp. 116484-116484
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems
Hui Yu, Kaizhou Gao, Zhenfang Ma, et al.
Swarm and Evolutionary Computation (2023) Vol. 80, pp. 101335-101335
Closed Access | Times Cited: 40
A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation
Zi-Qi Zhang, Fang-Chun Wu, Bin Qian, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121050-121050
Closed Access | Times Cited: 40
A Cooperative Scatter Search With Reinforcement Learning Mechanism for the Distributed Permutation Flowshop Scheduling Problem With Sequence-Dependent Setup Times
Fuqing Zhao, Gang Zhou, Ling Wang
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 8, pp. 4899-4911
Closed Access | Times Cited: 37
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
An Estimation of Distribution Algorithm-Based Hyper-Heuristic for the Distributed Assembly Mixed No-Idle Permutation Flowshop Scheduling Problem
Fuqing Zhao, Bo Zhu, Ling Wang
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 9, pp. 5626-5637
Closed Access | Times Cited: 33
Q-learning-based hyper-heuristic evolutionary algorithm for the distributed assembly blocking flowshop scheduling problem
Zi-Qi Zhang, Bin Qian, Rong Hu, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110695-110695
Closed Access | Times Cited: 21
A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs
Youjie Yao, Xinyu Li, Liang Gao
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101544-101544
Closed Access | Times Cited: 13
Collaborative Q-learning hyper-heuristic evolutionary algorithm for the production and transportation integrated scheduling of silicon electrodes
Rong Hu, Yu-Fang Huang, Xing Wu, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101498-101498
Closed Access | Times Cited: 6
A hybrid estimation of distribution algorithm for solving assembly flexible job shop scheduling in a distributed environment
Baigang Du, Shuai Han, Jun Guo, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108491-108491
Closed Access | Times Cited: 6
A multidimensional probabilistic model based evolutionary algorithm for the energy-efficient distributed flexible job-shop scheduling problem
Zi-Qi Zhang, Ying Li, Bin Qian, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108841-108841
Closed Access | Times Cited: 6
Knowledge-based multi-objective evolutionary algorithm for energy-efficient flexible job shop scheduling with mobile robot transportation
Youjie Yao, Qingzheng Wang, Cuiyu Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102647-102647
Closed Access | Times Cited: 5
The marriage of operations research and reinforcement learning: Integration of NEH into Q-learning algorithm for the permutation flowshop scheduling problem
Daqiang Guo, Sichao Liu, Shiquan Ling, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124779-124779
Closed Access | Times Cited: 5
MEDHEA: Multidimensional estimation of distribution based hyper-heuristic evolutionary algorithm for energy-efficient distributed assembly no-wait flow-shop scheduling problem
Zi-Qi Zhang, X. W. Zhu, Yanxuan Xu, et al.
Expert Systems with Applications (2025) Vol. 271, pp. 126526-126526
Closed Access
Multi-local search-based general variable neighborhood search for distributed flow shop scheduling in heterogeneous multi-factories
Weishi Shao, Zhongshi Shao, Dechang Pi
Applied Soft Computing (2022) Vol. 125, pp. 109138-109138
Closed Access | Times Cited: 25
A two-phase evolutionary algorithm for multi-objective distributed assembly permutation flowshop scheduling problem
Ying‐Ying Huang, Quan-Ke Pan, Liang Gao, et al.
Swarm and Evolutionary Computation (2022) Vol. 74, pp. 101128-101128
Closed Access | Times Cited: 22
The multi-factory two-stage assembly scheduling problem
Hamed Kazemi, Mustapha Nourelfath, Michel Gendreau
Journal of Industrial Information Integration (2024) Vol. 38, pp. 100574-100574
Open Access | Times Cited: 3
A knowledge-driven memetic algorithm for the energy-efficient distributed homogeneous flow shop scheduling problem
Yunbao Xu, Xiangqian Jiang, Jun Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 89, pp. 101625-101625
Open Access | Times Cited: 3
A multi-objective Immune Balancing Algorithm for Distributed Heterogeneous Batching-integrated Assembly Hybrid Flowshop Scheduling
Haiqiang Hao, Haiping Zhu, Yabo Luo
Expert Systems with Applications (2024) Vol. 259, pp. 125288-125288
Closed Access | Times Cited: 3
Energy-efficient Multi-objective Distributed Assembly Permutation Flowshop Scheduling by Q-learning based Meta-heuristics
Hui Yu, Kaizhou Gao, Zhiwu Li, et al.
Applied Soft Computing (2024), pp. 112247-112247
Closed Access | Times Cited: 3
A cooperative iterated greedy algorithm for the serial distributed permutation flowshop scheduling problem
Biao Han, Quan-Ke Pan, Liang Gao
International Journal of Production Research (2023) Vol. 62, Iss. 12, pp. 4245-4272
Closed Access | Times Cited: 9
A matrix-cube-based estimation of distribution algorithm for blocking flow-shop scheduling problem with sequence-dependent setup times
Zi-Qi Zhang, Bin Qian, Rong Hu, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117602-117602
Closed Access | Times Cited: 15
An enhanced cross-entropy algorithm for the green scheduling problem of steelmaking and continuous casting with uncertain processing time
Yang Lv, Bin Qian, Rong Hu, et al.
Computers & Industrial Engineering (2022) Vol. 171, pp. 108445-108445
Closed Access | Times Cited: 14
A multi-objective discrete differential evolution algorithm for energy-efficient distributed blocking flow shop scheduling problem
Fuqing Zhao, Hui Zhang, Ling Wang, et al.
International Journal of Production Research (2023) Vol. 62, Iss. 12, pp. 4226-4244
Closed Access | Times Cited: 8
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
An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems
Zi-Qi Zhang, Yanxuan Xu, Bin Qian, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101559-101559
Closed Access | Times Cited: 2
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