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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 effective benders decomposition algorithm for solving the distributed permutation flowshop scheduling problem
Alper Hamzadayı
Computers & Operations Research (2020) Vol. 123, pp. 105006-105006
Closed Access | Times Cited: 50

Showing 1-25 of 50 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
Solving Biobjective Distributed Flow-Shop Scheduling Problems With Lot-Streaming Using an Improved Jaya Algorithm
Yuxia Pan, Kaizhou Gao, Zhiwu Li, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 6, pp. 3818-3828
Closed Access | Times Cited: 92
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: 89
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 improved iterated greedy algorithm for the distributed hybrid flowshop scheduling problem
Chao Lu, Jun Zheng, Lvjiang Yin, et al.
Engineering Optimization (2023) Vol. 56, Iss. 5, pp. 792-810
Closed Access | Times Cited: 48
An efficient adaptive large neighborhood search algorithm based on heuristics and reformulations for the generalized quadratic assignment problem
Amir M. Fathollahi-Fard, Kuan Yew Wong, Mohammed Aljuaid
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106802-106802
Closed Access | Times Cited: 42
A distributed permutation flow-shop considering sustainability criteria and real-time scheduling
Amir M. Fathollahi-Fard, L. A. Woodward, Ouassima Akhrif
Journal of Industrial Information Integration (2024) Vol. 39, pp. 100598-100598
Open Access | Times Cited: 26
Self-adaptive enhanced learning differential evolution with surprisingly efficient decomposition approach for parameter identification of photovoltaic models
Yu-Jun Zhang, Shuijia Li, Yufei Wang, et al.
Energy Conversion and Management (2024) Vol. 308, pp. 118387-118387
Closed Access | Times Cited: 14
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
Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D
Guangchen Wang, Xinyu Li, Liang Gao, et al.
Swarm and Evolutionary Computation (2021) Vol. 62, pp. 100858-100858
Closed Access | Times Cited: 88
Improved Meta-Heuristics for Solving Distributed Lot-Streaming Permutation Flow Shop Scheduling Problems
Yuxia Pan, Kaizhou Gao, Zhiwu Li, et al.
IEEE Transactions on Automation Science and Engineering (2022) Vol. 20, Iss. 1, pp. 361-371
Closed Access | Times Cited: 63
An effective two-stage iterated greedy algorithm to minimize total tardiness for the distributed flowshop group scheduling problem
Zhiyuan Wang, Quan-Ke Pan, Liang Gao, et al.
Swarm and Evolutionary Computation (2022) Vol. 74, pp. 101143-101143
Closed Access | Times Cited: 42
Historical information based iterated greedy algorithm for distributed flowshop group scheduling problem with sequence-dependent setup times
Xuan He, Quan-Ke Pan, Liang Gao, et al.
Omega (2023) Vol. 123, pp. 102997-102997
Closed Access | Times Cited: 32
A population-based iterated greedy algorithm to minimize total flowtime for the distributed blocking flowshop scheduling problem
Shuai Chen, Quan-Ke Pan, Liang Gao, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 104, pp. 104375-104375
Closed Access | Times Cited: 45
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: 33
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
Automatic design of constructive heuristics for a reconfigurable distributed flowshop group scheduling problem
Biao Zhang, Leilei Meng, Chao Lu, et al.
Computers & Operations Research (2023) Vol. 161, pp. 106432-106432
Closed Access | Times Cited: 16
A hybrid estimation of distribution algorithm for solving assembly flexible job shop scheduling in a distributed environment
Baigang Du, Shuai Han, Jun Guo, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108491-108491
Closed Access | Times Cited: 7
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: 6
A scenario-based robust optimization model for the sustainable distributed permutation flow-shop scheduling problem
Amir M. Fathollahi-Fard, L. A. Woodward, Ouassima Akhrif
Annals of Operations Research (2024)
Closed Access | Times Cited: 6
Integrated remanufacturing scheduling of disassembly, reprocessing and reassembly considering energy efficiency and stochasticity through group teaching optimization and simulation approaches
Yaping Fu, Zhengpei Zhang, Pei Liang, et al.
Engineering Optimization (2024) Vol. 56, Iss. 12, pp. 2018-2039
Closed Access | Times Cited: 5
Effective heuristics and metaheuristics to minimise total tardiness for the distributed permutation flowshop scheduling problem
Ankit Khare, Sunil Agrawal
International Journal of Production Research (2020) Vol. 59, Iss. 23, pp. 7266-7282
Closed Access | Times Cited: 46
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
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