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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 network memetic algorithm for energy and labor-aware distributed heterogeneous hybrid flow shop scheduling problem
Weishi Shao, Zhongshi Shao, Dechang Pi
Swarm and Evolutionary Computation (2022) Vol. 75, pp. 101190-101190
Closed Access | Times Cited: 35

Showing 1-25 of 35 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: 39
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 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: 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
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
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: 18
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
Multi-objective fitness landscape-based estimation of distribution algorithm for distributed heterogeneous flexible job shop scheduling problem
Fuqing Zhao, Mengjie Li, Ningning Zhu, et al.
Applied Soft Computing (2025), pp. 112780-112780
Closed Access
A Memetic Algorithm Approach for the Job-Shop Scheduling Problem with Variable Machine Efficiency and Maintenance Activities
David Freud, Amir Elalouf
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1431-1431
Open Access
Greedy-assisted teaching-learning-based optimization algorithm for cost-based hybrid flow shop scheduling
Wasif Ullah, Mohd Fadzil Faisae Ab Rashid, Muhammad Ammar Nik Mutasim
Expert Systems with Applications (2025), pp. 126955-126955
Closed Access
Cooperation-based bi-level rescheduling method for multi-objective distributed hybrid flow shop with unrelated parallel machines under multi-type disturbances
Hanghao Cui, Xinyu Li, Liang Gao, et al.
International Journal of Computer Integrated Manufacturing (2025), pp. 1-23
Closed Access
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
Minimizing tardiness and makespan for distributed heterogeneous unrelated parallel machine scheduling by knowledge and Pareto-based memetic algorithm
Hua Wang, Rui Li, Wenyin Gong
Egyptian Informatics Journal (2023) Vol. 24, Iss. 3, pp. 100383-100383
Open Access | Times Cited: 15
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
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
Deep and wide search assisted evolutionary algorithm with reference vector guidance for many-objective optimization
Jin Chen, Xuesong Yan, Chengyu Hu, et al.
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101585-101585
Closed Access | Times Cited: 4
Hybrid Optimization of Green Supply Chain Network and Scheduling in Distributed 3D Printing Intelligent Factory
Yuran Jin, Gao Cheng
Sustainability (2023) Vol. 15, Iss. 7, pp. 5948-5948
Open Access | Times Cited: 11
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
A cooperative learning-aware dynamic hierarchical hyper-heuristic for distributed heterogeneous mixed no-wait flow-shop scheduling
Ningning Zhu, Fuqing Zhao, Yang Yu, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101668-101668
Closed Access | Times Cited: 3
Lot Sizing and Scheduling Problem in Distributed Heterogeneous Hybrid Flow Shop and Learning-Driven Iterated Local Search Algorithm
Weishi Shao, Zhongshi Shao, Dechang Pi
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 4, pp. 6483-6497
Closed Access | Times Cited: 8
An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems
Zi-Qi Zhang, Yanxuan Xu, Bin Qian, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101559-101559
Closed Access | Times Cited: 2
A learning-based memetic algorithm for a cooperative task allocation problem of multiple unmanned aerial vehicles in smart agriculture
Teng-Yu Chen, Zhonghua Miao, Weimin Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101694-101694
Closed Access | Times Cited: 1
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: 1
A knowledge-driven many-objective algorithm for energy-efficient distributed heterogeneous hybrid flowshop scheduling with lot-streaming
Sanyan Chen, Xuewu Wang, Ye Wang, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101771-101771
Closed Access | Times Cited: 1
Multi-population genetic algorithm with greedy job insertion inter-factory neighbourhoods for multi-objective distributed hybrid flow-shop scheduling with unrelated-parallel machines considering tardiness
Hanghao Cui, Xinyu Li, Liang Gao, et al.
International Journal of Production Research (2023) Vol. 62, Iss. 12, pp. 4427-4445
Closed Access | Times Cited: 3
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