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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:

An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems
Quan-Ke Pan, Liang Gao, Ling Wang
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 7, pp. 5999-6012
Closed Access | Times Cited: 162

Showing 1-25 of 162 citing articles:

Distributed scheduling problems in intelligent manufacturing systems
Yaping Fu, Yushuang Hou, Zifan Wang, et al.
Tsinghua Science & Technology (2021) Vol. 26, Iss. 5, pp. 625-645
Open Access | Times Cited: 141
An effective hybrid collaborative algorithm for energy-efficient distributed permutation flow-shop inverse scheduling
Jianhui Mou, Peiyong Duan, Liang Gao, et al.
Future Generation Computer Systems (2021) Vol. 128, pp. 521-537
Closed Access | Times Cited: 107
A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time
Rui Li, Wenyin Gong, Chao Lu, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 3, pp. 610-620
Closed Access | Times Cited: 105
Solving Biobjective Distributed Flow-Shop Scheduling Problems With Lot-Streaming Using an Improved Jaya Algorithm
Yuxia Pan, Kaizhou Gao, Zhiwu Li, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 6, pp. 3818-3828
Closed Access | Times Cited: 91
A novel shuffled frog-leaping algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling
Jingcao Cai, Deming Lei, Jing Wang, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 4, pp. 1233-1251
Closed Access | Times Cited: 70
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time
Rui Li, Wenyin Gong, Ling Wang, et al.
Swarm and Evolutionary Computation (2022) Vol. 74, pp. 101139-101139
Closed Access | Times Cited: 69
A review and classification on distributed permutation flowshop scheduling problems
Paz Pérez-González, José M. Framiñán
European Journal of Operational Research (2023) Vol. 312, Iss. 1, pp. 1-21
Open Access | Times Cited: 49
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
A Learning-Driven Multi-Objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and transportation operations
Zhengpei Zhang, Yaping Fu, Kaizhou Gao, et al.
Computers & Industrial Engineering (2024) Vol. 196, pp. 110484-110484
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
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 | Times Cited: 1
A hybrid estimation of distribution algorithm for distributed flexible job shop scheduling with crane transportations
Yu Du, Junqing Li, Chao Luo, et al.
Swarm and Evolutionary Computation (2021) Vol. 62, pp. 100861-100861
Closed Access | Times Cited: 99
Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D
Guangchen Wang, Xinyu Li, Liang Gao, et al.
Swarm and Evolutionary Computation (2021) Vol. 62, pp. 100858-100858
Closed Access | Times Cited: 88
A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems
Xuan He, Quan-Ke Pan, Liang Gao, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 27, Iss. 3, pp. 430-444
Closed Access | Times Cited: 86
Multiobjective Flexible Job-Shop Rescheduling With New Job Insertion and Machine Preventive Maintenance
Youjun An, Xiaohong Chen, Kaizhou Gao, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 5, pp. 3101-3113
Closed Access | Times Cited: 64
Modelling and optimization of integrated distributed flow shop scheduling and distribution problems with time windows
Yushuang Hou, Yaping Fu, Kaizhou Gao, et al.
Expert Systems with Applications (2021) Vol. 187, pp. 115827-115827
Closed Access | Times Cited: 63
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
An Ant Colony Optimization Behavior-Based MOEA/D for Distributed Heterogeneous Hybrid Flow Shop Scheduling Problem Under Nonidentical Time-of-Use Electricity Tariffs
Weishi Shao, Zhongshi Shao, Dechang Pi
IEEE Transactions on Automation Science and Engineering (2021) Vol. 19, Iss. 4, pp. 3379-3394
Closed Access | Times Cited: 58
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems
Yuanzhen Li, Quan-Ke Pan, Junqing Li, et al.
Swarm and Evolutionary Computation (2021) Vol. 63, pp. 100874-100874
Closed Access | Times Cited: 55
An effective two-stage iterated greedy algorithm to minimize total tardiness for the distributed flowshop group scheduling problem
Zhiyuan Wang, Quan-Ke Pan, Liang Gao, et al.
Swarm and Evolutionary Computation (2022) Vol. 74, pp. 101143-101143
Closed Access | Times Cited: 42
A hash map-based memetic algorithm for the distributed permutation flowshop scheduling problem with preventive maintenance to minimize total flowtime
Jiayang Mao, Quan-Ke Pan, Zhonghua Miao, et al.
Knowledge-Based Systems (2022) Vol. 242, pp. 108413-108413
Closed Access | Times Cited: 40
LS-HH: A Learning-Based Selection Hyper-Heuristic for Distributed Heterogeneous Hybrid Blocking Flow-Shop Scheduling
Zhongshi Shao, Weishi Shao, Dechang Pi
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 1, pp. 111-127
Closed Access | Times Cited: 39
Intelligent optimization under blocking constraints: A novel iterated greedy algorithm for the hybrid flow shop group scheduling problem
Haoxiang Qin, Yuyan Han, Yuting Wang, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 109962-109962
Closed Access | Times Cited: 39
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
Energy-Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling With Blocking Constraints
Haoxiang Qin, Yuyan Han, Qingda Chen, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 5, pp. 1442-1457
Closed Access | Times Cited: 35
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