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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 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: 37

Showing 1-25 of 37 citing articles:

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
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
Comparison of lot streaming division methodologies for multi-objective hybrid flowshop scheduling problem by considering limited waiting time
Beren Gürsoy Yılmaz, Ömer Faruk Yılmaz, Fatma Betül Yeni
Journal of Industrial and Management Optimization (2024) Vol. 20, Iss. 11, pp. 3373-3414
Open Access | Times Cited: 7
A reinforcement learning enhanced memetic algorithm for multi-objective flexible job shop scheduling toward Industry 5.0
Xiao Chang, Xiaoliang Jia, Jiahao Ren
International Journal of Production Research (2024), pp. 1-29
Closed Access | Times Cited: 7
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
Modelling and optimization for integrated scheduling problem considering spare parts production, batch transportation and equipment operation
Huining Zhuang, Qianwang Deng, Qiang Luo, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124194-124194
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
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 multi-dimensional co-evolutionary algorithm for multi-objective resource-constrained flexible flowshop with robotic transportation
Jiake Li, Rong-hao Li, Junqing Li, et al.
Applied Soft Computing (2025) Vol. 170, pp. 112689-112689
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
Metaheuristics for multi-objective scheduling problems in industry 4.0 and 5.0: a state-of-the-arts survey
Wenqiang Zhang, Xuan Bao, Xinchang Hao, et al.
Frontiers in Industrial Engineering (2025) Vol. 3
Open Access
A feature based neural network model for distributed flexible flow shop scheduling considering worker and transportation factors
Tianpeng Xu, Fuqing Zhao, Jianlin Zhang, et al.
Computers & Industrial Engineering (2025), pp. 110917-110917
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
Q-learning based estimation of distribution algorithm for scheduling distributed heterogeneous flexible flow-shop with mixed buffering limitation
Hua Xuan, Qianqian Zheng, Lin Lv, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110537-110537
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
Artificial Intelligence to Solve Production Scheduling Problems in Real Industrial Settings: Systematic Literature Review
Mateo Del Gallo, Giovanni Mazzuto, Filippo Emanuele Ciarapica, et al.
Electronics (2023) Vol. 12, Iss. 23, pp. 4732-4732
Open Access | Times Cited: 12
Enhancing multi-objective evolutionary algorithms with machine learning for scheduling problems: recent advances and survey
Wenqiang Zhang, Guanwei Xiao, Mitsuo Gen, et al.
Frontiers in Industrial Engineering (2024) Vol. 2
Open 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
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
Mathematical model and adaptive multi-objective evolutionary algorithm for cellular manufacturing with mixed production mode
Lixin Cheng, Qiuhua Tang, Liping Zhang
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101545-101545
Closed Access | Times Cited: 2
A coevolutionary algorithm using Self-organizing map approach for multimodal multi-objective optimization
Zongli Liu, Yuze Yang, Jie Cao, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111954-111954
Closed Access | Times Cited: 2
A dynamic decision-driven memetic algorithm for fuzzy distributed hybrid flow shop rescheduling considering quality control
Libao Deng, Yixuan Qiu, Wenyin Gong, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125002-125002
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
Reinforcement Learning for FDA-MIMO Radar Power Allocation in Congested Spectral Environments
Changlin Zhou, Chunyang Wang, Jian Gong, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123957-123957
Closed Access | Times Cited: 1
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