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OpenAlex Citation Counts

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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:

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

Showing 1-25 of 40 citing articles:

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 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
A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution
Zhengpei Zhang, Yaping Fu, Kaizhou Gao, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101467-101467
Closed Access | Times Cited: 18
Evolutionary algorithm incorporating reinforcement learning for energy-conscious flexible job-shop scheduling problem with transportation and setup times
Guohui Zhang, Shaofeng Yan, Xiaohui Song, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 107974-107974
Closed Access | Times Cited: 17
Scheduling Multiobjective Dynamic Surgery Problems via Q-Learning-Based Meta-Heuristics
Hui Yu, Kaizhou Gao, Naiqi Wu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 6, pp. 3321-3333
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 self-adaptive co-evolutionary algorithm for multi-objective flexible job-shop rescheduling problem with multi-phase processing speed selection, condition-based preventive maintenance and dynamic repairman assignment
Youjun An, Ziye Zhao, Kaizhou Gao, et al.
Swarm and Evolutionary Computation (2024) Vol. 89, pp. 101643-101643
Closed Access | Times Cited: 8
Solving Heterogeneous USV Scheduling Problems by Problem-Specific Knowledge Based Meta-Heuristics with Q-Learning
Zhenfang Ma, Kaizhou Gao, Hui Yu, et al.
Mathematics (2024) Vol. 12, Iss. 2, pp. 339-339
Open Access | Times Cited: 7
Problem feature based meta-heuristics with Q-learning for solving urban traffic light scheduling problems
Wang Liang, Kaizhou Gao, Zhongjie Lin, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110714-110714
Closed Access | Times Cited: 18
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
Reinforcement learning for distributed hybrid flowshop scheduling problem with variable task splitting towards mass personalized manufacturing
Xin Chen, Yibing Li, Kaipu Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 188-206
Closed Access | Times Cited: 6
Deep reinforcement learning for dynamic distributed job shop scheduling problem with transfers
Yong Lei, Qianwang Deng, Mengqi Liao, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123970-123970
Closed Access | Times Cited: 5
A novel importance-guided particle swarm optimization based on MLP for solving large-scale feature selection problems
Yu Xue, Chenyi Zhang
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101760-101760
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
Ship pipe production optimization method for solving distributed heterogeneous energy-efficient flexible flowshop scheduling with mobile resource limitation
Hua Xuan, Xiaofan Zhang, Yixuan Wu, et al.
Expert Systems with Applications (2025), pp. 126603-126603
Closed Access
Novel MINLP model and Lamarckian learning-enhanced multi-objective optimization algorithm for smart household appliance scheduling
Weidong Lei, Z. Y. You, Jiawei Zhu, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101886-101886
Closed Access
Self-optimized learning algorithm for multi-specialty multi-stage elective surgery scheduling
Y Liu, Y. P. Huang, Zongli Dai, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110346-110346
Closed Access
A Q-learning-based multi-objective evolutionary algorithm for integrated green production and distribution scheduling problems
Yushuang Hou, Hongfeng Wang, Xiaoliang Huang
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107434-107434
Closed Access | Times Cited: 13
Problem-Specific Knowledge Based Multi-Objective Meta-Heuristics Combined Q-Learning for Scheduling Urban Traffic Lights With Carbon Emissions
Zhongjie Lin, Kaizhou Gao, Naiqi Wu, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 15053-15064
Closed Access | Times Cited: 4
Ensemble meta-heuristics and Q-learning for staff dissatisfaction constrained surgery scheduling and rescheduling
Hui Yu, Kaizhou Gao, Naiqi Wu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108668-108668
Closed Access | Times Cited: 4
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time
Ruixue Zhang, Hui Yu, Kaizhou Gao, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101686-101686
Closed Access | Times Cited: 4
Advancements in Q‐learning meta‐heuristic optimization algorithms: A survey
Yang Yang, Yuchao Gao, Zhe Ding, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 6
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
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
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