Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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: 41

Showing 1-25 of 41 citing articles:

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: 44
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: 28
MRLM: A meta-reinforcement learning-based metaheuristic for hybrid flow-shop scheduling problem with learning and forgetting effects
Zeyu Zhang, Zhongshi Shao, Weishi Shao, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101479-101479
Closed Access | Times Cited: 21
HGNP: A PCA-based heterogeneous graph neural network for a family distributed flexible job shop
Jiake Li, Junqing Li, Ying Xu
Computers & Industrial Engineering (2025), pp. 110855-110855
Closed Access | Times Cited: 6
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems
Minglong Gao, Kaizhou Gao, Zhenfang Ma, et al.
Swarm and Evolutionary Computation (2023) Vol. 82, pp. 101358-101358
Closed Access | Times Cited: 36
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: 28
Hyper-heuristics: A survey and taxonomy
Tansel Dökeroğlu, Tayfun Küçükyılmaz, El‐Ghazali Talbi
Computers & Industrial Engineering (2023) Vol. 187, pp. 109815-109815
Open Access | Times Cited: 26
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: 11
Dynamic scheduling mechanism for intelligent workshop with deep reinforcement learning method based on multi-agent system architecture
Wenbin Gu, Siqi Liu, Zhenyang Guo, et al.
Computers & Industrial Engineering (2024) Vol. 191, pp. 110155-110155
Closed Access | Times Cited: 9
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: 9
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 Reinforcement Learning Driven Artificial Bee Colony Algorithm for Distributed Heterogeneous No-Wait Flowshop Scheduling Problem With Sequence-Dependent Setup Times
Fuqing Zhao, Zhenyu Wang, Ling Wang
IEEE Transactions on Automation Science and Engineering (2022) Vol. 20, Iss. 4, pp. 2305-2320
Closed Access | Times Cited: 31
Double DQN-Based Coevolution for Green Distributed Heterogeneous Hybrid Flowshop Scheduling With Multiple Priorities of Jobs
Rui Li, Wenyin Gong, Ling Wang, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 4, pp. 6550-6562
Closed Access | Times Cited: 19
Two-stage learning scatter search algorithm for the distributed hybrid flow shop scheduling problem with machine breakdown
Yang Zuo, Fuqing Zhao, Yang Yu
Expert Systems with Applications (2024) Vol. 259, pp. 125344-125344
Closed Access | Times Cited: 5
A selection hyper-heuristic algorithm with Q-learning mechanism
Fuqing Zhao, Yuebao Liu, Ningning Zhu, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110815-110815
Closed Access | Times Cited: 13
A deep reinforcement learning hyper-heuristic to solve order batching problem with mobile robots
Bayi Cheng, Lingjun Wang, Qi Tan, et al.
Applied Intelligence (2024) Vol. 54, Iss. 9-10, pp. 6865-6887
Closed Access | Times Cited: 4
A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem
Weishi Shao, Zhongshi Shao, Dechang Pi
Neural Computing and Applications (2022) Vol. 34, Iss. 24, pp. 22303-22330
Closed Access | Times Cited: 17
A Shuffled Frog-Leaping Algorithm with Cooperations for Distributed Assembly Hybrid-Flow Shop Scheduling with Factory Eligibility
Deming Lei, Tao Dai
Symmetry (2023) Vol. 15, Iss. 4, pp. 786-786
Open Access | Times Cited: 10
A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption
Yuanzhen Li, Kaizhou Gao, Leilei Meng, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107011-107011
Closed Access | Times Cited: 10
Terminal normalization in genetic programming for dynamic flexible job shop scheduling
Binzi Xu, Xinyu Cao, Shuzhu Zhang, et al.
Swarm and Evolutionary Computation (2025) Vol. 96, pp. 101970-101970
Closed Access
An ensemble of brain storm optimization and Q-learning methods for distributed flexible job shop scheduling problems with distribution operations
Zhengpei Zhang, Yunqiang Yin, Yaping Fu
International Journal of General Systems (2024) Vol. 53, Iss. 7-8, pp. 863-897
Closed Access | Times Cited: 3
A parallel deep adaptive large neighbourhood search algorithm for distributed heterogeneous hybrid flow shops with mixed-model assembly scheduling
Weishi Shao, Zhongshi Shao, Dechang Pi
Engineering Optimization (2024), pp. 1-28
Closed Access | Times Cited: 3
Combining meta-heuristics and Q-learning for scheduling lot-streaming hybrid flow shops with consistent sublots
Benxue Lu, Kaizhou Gao, Yaxian Ren, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101731-101731
Closed Access | Times Cited: 3
Selection hyperheuristic with knowledge-based Q-learning for dynamic distributed hybrid flow shop scheduling problem considering operation inspection
Lin Luo, Xuesong Yan
Swarm and Evolutionary Computation (2025) Vol. 95, pp. 101936-101936
Closed Access
A self-learning knowledge-based MOEA/D for distributed heterogeneous assembly permutation flowshop scheduling with batch delivery
Zikai Zhang, Qiuhua Tang, Ling Wang, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111295-111295
Closed Access | Times Cited: 8
Page 1 - Next Page

Scroll to top