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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:

Dynamic shuffled frog-leaping algorithm for distributed hybrid flow shop scheduling with multiprocessor tasks
Jingcao Cai, Rui Zhou, Deming Lei
Engineering Applications of Artificial Intelligence (2020) Vol. 90, pp. 103540-103540
Closed Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

A Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop
Chao Lu, Qiao Liu, Biao Zhang, et al.
Expert Systems with Applications (2022) Vol. 204, pp. 117555-117555
Closed Access | Times Cited: 136
A Cooperative Memetic Algorithm With Learning-Based Agent for Energy-Aware Distributed Hybrid Flow-Shop Scheduling
Jingjing Wang, Ling Wang
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 3, pp. 461-475
Closed Access | Times Cited: 134
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times
Leilei Meng, Kaizhou Gao, Yaping Ren, et al.
Swarm and Evolutionary Computation (2022) Vol. 71, pp. 101058-101058
Closed Access | Times Cited: 88
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
Mathematical model and knowledge-based iterated greedy algorithm for distributed assembly hybrid flow shop scheduling problem with dual-resource constraints
Fei Yu, Chao Lu, Jiajun Zhou, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122434-122434
Closed Access | Times Cited: 40
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 multi-objective differential evolution algorithm for the distributed hybrid flowshop scheduling problem with deteriorating jobs
Xingping Sun, Yunlu Gong, Hongwei Kang, et al.
Engineering Optimization (2025), pp. 1-33
Closed Access | Times Cited: 2
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
Decomposition-based multi-objective optimization for energy-aware distributed hybrid flow shop scheduling with multiprocessor tasks
Enda Jiang, Ling Wang, Jingjing Wang
Tsinghua Science & Technology (2021) Vol. 26, Iss. 5, pp. 646-663
Open Access | Times Cited: 93
A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers
Chao Lu, Yuanxiang Huang, Leilei Meng, et al.
Robotics and Computer-Integrated Manufacturing (2021) Vol. 74, pp. 102277-102277
Closed Access | Times Cited: 90
Multi-objective evolutionary algorithm based on multiple neighborhoods local search for multi-objective distributed hybrid flow shop scheduling problem
Weishi Shao, Zhongshi Shao, Dechang Pi
Expert Systems with Applications (2021) Vol. 183, pp. 115453-115453
Closed Access | Times Cited: 74
KMOEA: A Knowledge-Based Multiobjective Algorithm for Distributed Hybrid Flow Shop in a Prefabricated System
Junqing Li, Xiaolong Chen, Peiyong Duan, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 8, pp. 5318-5329
Closed Access | Times Cited: 73
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
Modelling and optimization of distributed heterogeneous hybrid flow shop lot-streaming scheduling problem
Weishi Shao, Zhongshi Shao, Dechang Pi
Expert Systems with Applications (2022) Vol. 214, pp. 119151-119151
Closed Access | Times Cited: 55
Current Studies and Applications of Shuffled Frog Leaping Algorithm: A Review
Bestan B. Maaroof, Tarik A. Rashid, Jaza M. Abdulla, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 5, pp. 3459-3474
Closed Access | Times Cited: 46
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
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
Toward automated algorithm configuration for distributed hybrid flow shop scheduling with multiprocessor tasks
Hadi Gholami, Hongyang Sun
Knowledge-Based Systems (2023) Vol. 264, pp. 110309-110309
Closed Access | Times Cited: 26
Multiprocessor task scheduling using multi-objective hybrid genetic Algorithm in Fog–cloud computing
Gaurav Agarwal, Sachi Gupta, Rakesh Ahuja, et al.
Knowledge-Based Systems (2023) Vol. 272, pp. 110563-110563
Closed Access | Times Cited: 26
A multi-class teaching–learning-based optimization for multi-objective distributed hybrid flow shop scheduling
Deming Lei, Bin Su
Knowledge-Based Systems (2023) Vol. 263, pp. 110252-110252
Closed Access | Times Cited: 25
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: 25
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
Modeling and multi-objective optimization for energy-aware scheduling of distributed hybrid flow-shop
Chao Lu, Jiajun Zhou, Liang Gao, et al.
Applied Soft Computing (2024) Vol. 156, pp. 111508-111508
Closed Access | Times Cited: 7
Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem
Zhongshi Shao, Weishi Shao, Dechang Pi
Swarm and Evolutionary Computation (2020) Vol. 59, pp. 100747-100747
Closed Access | Times Cited: 64
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