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:

Discrete differential evolution metaheuristics for permutation flow shop scheduling problems
Márcia de Fátima Morais, Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, et al.
Computers & Industrial Engineering (2022) Vol. 166, pp. 107956-107956
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Cooperative ensemble learning model improves electric short-term load forecasting
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Gabriel Trierweiler Ribeiro, et al.
Chaos Solitons & Fractals (2022) Vol. 166, pp. 112982-112982
Closed Access | Times Cited: 49
A Cooperative Scatter Search With Reinforcement Learning Mechanism for the Distributed Permutation Flowshop Scheduling Problem With Sequence-Dependent Setup Times
Fuqing Zhao, Gang Zhou, Ling Wang
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 8, pp. 4899-4911
Closed Access | Times Cited: 38
Distributed Permutation Flow Shop Scheduling Problem with Worker flexibility: Review, trends and model proposition
Tasnim Mraihi, Olfa Belkahla Driss, Hind Bril El-Haouzi
Expert Systems with Applications (2023) Vol. 238, pp. 121947-121947
Closed Access | Times Cited: 28
Problem-specific knowledge MOEA/D for energy-efficient scheduling of distributed permutation flow shop in heterogeneous factories
Cong Luo, Wenyin Gong, Rui Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106454-106454
Closed Access | Times Cited: 26
Hybrid strategy improved Harris Hawks optimization algorithm for global optimization and microgrid economic scheduling problem
Tianbao Liu, Ting Li, Xiwen Qin
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access | Times Cited: 1
AGV dispatching and bidirectional conflict-free routing problem in automated container terminal
Yu Cao, Ang Yang, Yang Liu, et al.
Computers & Industrial Engineering (2023) Vol. 184, pp. 109611-109611
Closed Access | Times Cited: 20
Two-Stage Adaptive Memetic Algorithm with Surprisingly Popular Mechanism for Energy-Aware Distributed Hybrid Flow Shop Scheduling Problem with Sequence-Dependent Setup Time
Feng Chen, Cong Luo, Wenyin Gong, et al.
Complex System Modeling and Simulation (2024) Vol. 4, Iss. 1, pp. 82-108
Open Access | Times Cited: 8
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: 6
An operator-inspired framework for metaheuristics and its applications on job-shop scheduling problems
Jiahang Li, Xinyu Li, Liang Gao
Applied Soft Computing (2024) Vol. 157, pp. 111522-111522
Closed Access | Times Cited: 6
A self-learning hyper-heuristic for the distributed assembly blocking flow shop scheduling problem with total flowtime criterion
Fuqing Zhao, Shilu Di, Ling Wang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105418-105418
Closed Access | Times Cited: 24
A novel discrete differential evolution algorithm combining transfer function with modulo operation for solving the multiple knapsack problem
Lina Wang, Yichao He, Xizhao Wang, et al.
Information Sciences (2024) Vol. 680, pp. 121170-121170
Closed Access | Times Cited: 4
An Optimized Method for Solving the Green Permutation Flow Shop Scheduling Problem Using a Combination of Deep Reinforcement Learning and Improved Genetic Algorithm
Yongxin Lu, Yiping Yuan, Yasenjiang Jiarula, et al.
Mathematics (2025) Vol. 13, Iss. 4, pp. 545-545
Open Access
Reinforcement learning enhanced swarm intelligence and trajectory-based algorithms for parallel machine scheduling problems
Fehmi Burçin Özsoydan
Computers & Industrial Engineering (2025), pp. 110948-110948
Closed Access
Three-partition coevolutionary differential evolution algorithm for mixed-variable optimization problems
Guojun Gan, Hengzhou Ye, Minggang Dong, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108263-108263
Closed Access | Times Cited: 3
Comparative Performances of Differential Evolution and Gravitational Search Algorithm for Graph Coloring Problem
Arnab Kole, Anindya Jyoti Pal
Lecture notes in networks and systems (2025), pp. 195-212
Closed Access
A Novel Hybrid Differential Evolutionary Algorithm for Solving Multi-objective Distributed Permutation Flow-Shop Scheduling Problem
Xinzhe Du, Yanping Zhou
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
Multi-search mechanism-improved differential evolution algorithm for the no-wait flow shop scheduling problem
Yizhen Li, Chundong Zheng, Xiaobing Pei
Applied Soft Computing (2025), pp. 113094-113094
Closed Access
Scheduling Reentrant FlowShops: Reinforcement Learning‐guided Meta‐Heuristics
J.Q. Yuan, Kaizhou Gao, Adam Słowik, et al.
IET Collaborative Intelligent Manufacturing (2025) Vol. 7, Iss. 1
Open Access
Modeling and optimization of batch scheduling problem considering the process granularity in shared manufacturing
Shunsheng Guo, Yanhui Huang, Jun Guo, et al.
Computers & Industrial Engineering (2025), pp. 111198-111198
Closed Access
Mathematical models and benchmarking for the fuzzy job shop scheduling problem
Sezin Afşar, Camino R. Vela, Juan José Palacios, et al.
Computers & Industrial Engineering (2023) Vol. 183, pp. 109454-109454
Open Access | Times Cited: 8
Bi-objective carbon-efficient distributed flow-shop scheduling with multistep electricity pricing
Xianyu Yu, Hengte Du, Dequn Zhou, et al.
International Journal of Production Research (2024) Vol. 62, Iss. 18, pp. 6842-6858
Closed Access | Times Cited: 2
Multi-stage dynamic optimization method for long-term planning of the concentrate ingredient in copper industry
Hongqi Zhang, Jun Zhao, Henry Leung, et al.
Information Sciences (2022) Vol. 605, pp. 333-350
Closed Access | Times Cited: 11
Modeling and solution for hybrid flow-shop scheduling problem by two-stage stochastic programming
Yiping Huang, Libao Deng, Jianlei Wang, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120846-120846
Closed Access | Times Cited: 6
A Fuzzy Simheuristic for the Permutation Flow Shop Problem under Stochastic and Fuzzy Uncertainty
Juliana Castaneda, Xabier A. Martin, Majsa Ammouriova, et al.
Mathematics (2022) Vol. 10, Iss. 10, pp. 1760-1760
Open Access | Times Cited: 9
Permutation flowshop problems minimizing core waiting time and core idle time
Arianna Alfieri, Michele Garraffa, Erica Pastore, et al.
Computers & Industrial Engineering (2023) Vol. 176, pp. 108983-108983
Open Access | Times Cited: 5
Page 1 - Next Page

Scroll to top