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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 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

Showing 1-25 of 55 citing articles:

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
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 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
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
A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem
Fuqing Zhao, Xiaotong Hu, Ling Wang, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 9, pp. 2854-2872
Closed Access | Times Cited: 62
Real-time scheduling for distributed permutation flowshops with dynamic job arrivals using deep reinforcement learning
Shengluo Yang, Junyi Wang, Zhigang Xu
Advanced Engineering Informatics (2022) Vol. 54, pp. 101776-101776
Closed Access | Times Cited: 49
An Estimation of Distribution Algorithm-Based Hyper-Heuristic for the Distributed Assembly Mixed No-Idle Permutation Flowshop Scheduling Problem
Fuqing Zhao, Bo Zhu, Ling Wang
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 9, pp. 5626-5637
Closed Access | Times Cited: 33
A novel priority dispatch rule generation method based on graph neural network and reinforcement learning for distributed job-shop scheduling
Jiang‐Ping Huang, Liang Gao, Xinyu Li, et al.
Journal of Manufacturing Systems (2023) Vol. 69, pp. 119-134
Closed Access | Times Cited: 29
A green scheduling algorithm for the distributed flowshop problem
Yuanzhen Li, Quan-Ke Pan, Kaizhou Gao, et al.
Applied Soft Computing (2021) Vol. 109, pp. 107526-107526
Closed Access | Times Cited: 43
A referenced iterated greedy algorithm for the distributed assembly mixed no-idle permutation flowshop scheduling problem with the total tardiness criterion
Yuanzhen Li, Quan-Ke Pan, Rubén Ruíz, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 108036-108036
Closed Access | Times Cited: 42
An effective metaheuristic with a differential flight strategy for the distributed permutation flowshop scheduling problem with sequence-dependent setup times
Hengwei Guo, Hongyan Sang, Biao Zhang, et al.
Knowledge-Based Systems (2022) Vol. 242, pp. 108328-108328
Closed Access | Times Cited: 32
A heuristic maintenance scheduling framework for a military aircraft fleet under limited maintenance capacities
Qin Zhang, Yu Liu, Tangfan Xiahou, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109239-109239
Closed Access | Times Cited: 16
Modeling and Scheduling a Constrained Flowshop in Distributed Manufacturing Environments
Bingtao Wang, Quan-Ke Pan, Liang Gao, et al.
Journal of Manufacturing Systems (2024) Vol. 72, pp. 519-535
Closed Access | Times Cited: 6
Self-Adaptive Population-Based Iterated Greedy Algorithm for Distributed Permutation Flowshop Scheduling Problem with Part of Jobs Subject to a Common Deadline Constraint
Qiuying Li, Quan-Ke Pan, Hongyan Sang, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123278-123278
Closed Access | Times Cited: 6
An iterated greedy algorithm with acceleration of job allocation probability for distributed heterogeneous permutation flowshop scheduling problem
Haoran Li, Xinyu Li, Liang Gao
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101580-101580
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
Scheduling distributed heterogeneous non-permutation flowshop to minimize the total weighted tardiness
Fuli Xiong, Siyuan Chen, Ningxin Xiong, et al.
Expert Systems with Applications (2025), pp. 126713-126713
Closed Access
Intelligent Optimization Algorithm‐Based Path Planning for a Mobile Robot
Qisong Song, Shaobo Li, Jing Yang, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 36
A new hybridization of adaptive large neighborhood search with constraint programming for open shop scheduling with sequence-dependent setup times
Levi Ribeiro de Abreu, Marcelo Seido Nagano
Computers & Industrial Engineering (2022) Vol. 168, pp. 108128-108128
Closed Access | Times Cited: 24
An effective fruit fly optimization algorithm for the distributed permutation flowshop scheduling problem with total flowtime
Hengwei Guo, Hongyan Sang, Xujin Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106347-106347
Closed Access | Times Cited: 14
BRCE: bi-roles co-evolution for energy-efficient distributed heterogeneous permutation flow shop scheduling with flexible machine speed
Kuihua Huang, Rui Li, Wenyin Gong, et al.
Complex & Intelligent Systems (2023) Vol. 9, Iss. 5, pp. 4805-4816
Open Access | Times Cited: 13
A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems
Bilal Khurshid, Shahid Maqsood, Yahya Khurshid, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Scheduling analysis of automotive glass manufacturing systems subject to sequence-independent setup time, no-idle machines, and permissive maximum total tardiness constraint
YunFang He, Yan Qiao, Naiqi Wu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108299-108299
Closed Access | Times Cited: 4
A cooperative grey wolf optimizer for the joint flowshop scheduling problem with sequence-dependent set-up time
Shuilin Chen, Jianguo Zheng, Wenqiu Zhang
Engineering Optimization (2024), pp. 1-23
Closed Access | Times Cited: 4
The distributed flowshop scheduling problem with delivery dates and cumulative payoffs
Yuanzhen Li, Quan-Ke Pan, Xuan He, et al.
Computers & Industrial Engineering (2022) Vol. 165, pp. 107961-107961
Closed Access | Times Cited: 18
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