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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 improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem
Haoxiang Qin, Yuyan Han, Biao Zhang, et al.
Swarm and Evolutionary Computation (2021) Vol. 69, pp. 100992-100992
Closed Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

A Hyperheuristic With Q-Learning for the Multiobjective Energy-Efficient Distributed Blocking Flow Shop Scheduling Problem
Fuqing Zhao, Shilu Di, Ling Wang
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 5, pp. 3337-3350
Closed Access | Times Cited: 140
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
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
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
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 effective iterative greedy algorithm for distributed blocking flowshop scheduling problem with balanced energy costs criterion
Han Xue, Yuyan Han, Biao Zhang, et al.
Applied Soft Computing (2022) Vol. 129, pp. 109502-109502
Closed Access | Times Cited: 44
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
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
Intelligent optimization under the makespan constraint: Rapid evaluation mechanisms based on the critical machine for the distributed flowshop group scheduling problem
Yuhang Wang, Yuyan Han, Yuting Wang, et al.
European Journal of Operational Research (2023) Vol. 311, Iss. 3, pp. 816-832
Closed Access | Times Cited: 35
A tri-individual iterated greedy algorithm for the distributed hybrid flow shop with blocking
Feige Liu, Guiling Li, Chao Lu, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121667-121667
Closed Access | Times Cited: 26
Reconfigurable distributed flowshop group scheduling with a nested variable neighborhood descent algorithm
Biao Zhang, Chao Lu, Leilei Meng, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119548-119548
Closed Access | Times Cited: 24
An improved multi-population genetic algorithm with a greedy job insertion inter-factory neighborhood structure for distributed heterogeneous hybrid flow shop scheduling problem
Hanghao Cui, Xinyu Li, Liang Gao
Expert Systems with Applications (2023) Vol. 222, pp. 119805-119805
Closed Access | Times Cited: 24
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
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
A review of intelligent optimization for group scheduling problems in cellular manufacturing
Yuting Wang, Yuyan Han, Dunwei Gong, et al.
Frontiers of Engineering Management (2023) Vol. 10, Iss. 3, pp. 406-426
Closed Access | Times Cited: 17
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
A feedback-based artificial bee colony algorithm for energy-efficient flexible flow shop scheduling problem with batch processing machines
Jing Wang, Hongtao Tang, Deming Lei
Applied Soft Computing (2024) Vol. 153, pp. 111254-111254
Closed Access | Times Cited: 6
An efficient collaborative multi-swap iterated greedy algorithm for the distributed permutation flowshop scheduling problem with preventive maintenance
Qiu-Yang Han, Hongyan Sang, Quan-Ke Pan, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101537-101537
Closed Access | Times Cited: 5
Application of hybrid chaotic particle swarm optimization and slime mould algorithm to optimally estimate the parameter of fuel cell and solar PV system
Jyoti Gupta, Svetlana Beryozkina, Mohammad Aljaidi, et al.
International Journal of Hydrogen Energy (2024) Vol. 83, pp. 1003-1023
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
Solving the Permutation Flow Shop Scheduling Problem with Sequence-dependent Setup Time via Iterative Greedy Algorithm and Imitation Learning
Zhaosheng Du, Jun-qing Li, Haonan Song, et al.
Mathematics and Computers in Simulation (2025) Vol. 234, pp. 169-193
Closed Access
A self-learning hyper-heuristic for the distributed assembly blocking flow shop scheduling problem with total flowtime criterion
Fuqing Zhao, Shilu Di, Ling Wang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105418-105418
Closed Access | Times Cited: 23
A systematic literature review on energy-efficient hybrid flow shop scheduling
Dana Marsetiya Utama, Meri Dines Primayesti, Sabila Zahra Umamy, et al.
Cogent Engineering (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 15
An adaptive artificial bee colony for hybrid flow shop scheduling with batch processing machines in casting process
Jing Wang, Deming Lei, Hongtao Tang
International Journal of Production Research (2023) Vol. 62, Iss. 13, pp. 4793-4808
Closed Access | Times Cited: 14
Intelligent Optimization Under Multiple Factories: Hybrid Flow Shop Scheduling Problem with Blocking Constraints Using an Advanced Iterated Greedy Algorithm
Yong Wang, Yuting Wang, Yuyan Han, et al.
Complex System Modeling and Simulation (2023) Vol. 3, Iss. 4, pp. 282-306
Open Access | Times Cited: 13
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