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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:

Multi-objective reinforcement learning framework for dynamic flexible job shop scheduling problem with uncertain events
Hao Wang, Junfu Cheng, Chang Liu, et al.
Applied Soft Computing (2022) Vol. 131, pp. 109717-109717
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Large-Scale Dynamic Scheduling for Flexible Job-Shop With Random Arrivals of New Jobs by Hierarchical Reinforcement Learning
Kun Lei, Peng Guo, Yi Wang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 1007-1018
Closed Access | Times Cited: 51
Multi-policy deep reinforcement learning for multi-objective multiplicity flexible job shop scheduling
Linshan Ding, Zailin Guan, Mudassar Rauf, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101550-101550
Closed Access | Times Cited: 16
Manufacturing in the Age of Human-Centric and Sustainable Industry 5.0: Application to Holonic, Flexible, Reconfigurable and Smart Manufacturing Systems
Christopher Turner, John Oyekan
Sustainability (2023) Vol. 15, Iss. 13, pp. 10169-10169
Open Access | Times Cited: 33
Knowledge-driven two-stage memetic algorithm for energy-efficient flexible job shop scheduling with machine breakdowns
Cong Luo, Wenyin Gong, Chao Lu
Expert Systems with Applications (2023) Vol. 235, pp. 121149-121149
Closed Access | Times Cited: 27
An effective reformative memetic algorithm for distributed flexible job-shop scheduling problem with order cancellation
Nan Zhu, Guiliang Gong, Di’an Lu, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121205-121205
Closed Access | Times Cited: 27
Q-learning based multi-objective immune algorithm for fuzzy flexible job shop scheduling problem considering dynamic disruptions
Xiaolong Chen, Junqing Li, Ying Xu
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101414-101414
Closed Access | Times Cited: 27
Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems
Yaping Fu, Yifeng Wang, Kaizhou Gao, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109780-109780
Closed Access | Times Cited: 15
Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison
Meng Xu, Yi Mei, Fangfang Zhang, et al.
IEEE Computational Intelligence Magazine (2024) Vol. 19, Iss. 2, pp. 18-33
Closed Access | Times Cited: 13
An adaptive multi-objective multi-task scheduling method by hierarchical deep reinforcement learning
Jianxiong Zhang, Bing Guo, Xuefeng Ding, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111342-111342
Closed Access | Times Cited: 10
Dynamic job-shop scheduling using graph reinforcement learning with auxiliary strategy
Zhenyu Liu, Haoyang Mao, Guodong Sa, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 1-18
Closed Access | Times Cited: 9
A Hierarchical Multi-Action Deep Reinforcement Learning Method for Dynamic Distributed Job-Shop Scheduling Problem With Job Arrivals
Jiang‐Ping Huang, Liang Gao, Xinyu Li
IEEE Transactions on Automation Science and Engineering (2024) Vol. 22, pp. 2501-2513
Closed Access | Times Cited: 9
A Pareto-optimality based black widow spider algorithm for energy efficient flexible job shop scheduling problem considering new job insertion
Kashif Akram, M. Usman Maqbool Bhutta, Shahid Ikramullah Butt, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111937-111937
Closed Access | Times Cited: 8
A Review on Intelligent Scheduling and Optimization for Flexible Job Shop
Bin Jiang, Yajie Ma, Lijun Chen, et al.
International Journal of Control Automation and Systems (2023) Vol. 21, Iss. 10, pp. 3127-3150
Closed Access | Times Cited: 18
Deep reinforcement learning for dynamic distributed job shop scheduling problem with transfers
Yong Lei, Qianwang Deng, Mengqi Liao, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123970-123970
Closed Access | Times Cited: 6
A multidimensional probabilistic model based evolutionary algorithm for the energy-efficient distributed flexible job-shop scheduling problem
Zi-Qi Zhang, Ying Li, Bin Qian, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108841-108841
Closed Access | Times Cited: 6
A discrete event simulator to implement deep reinforcement learning for the dynamic flexible job shop scheduling problem
Lorenzo Tiacci, Andrea Rossi
Simulation Modelling Practice and Theory (2024) Vol. 134, pp. 102948-102948
Open Access | Times Cited: 5
Dynamic scheduling for multi-objective flexible job shop via deep reinforcement learning
Erdong Yuan, Liejun Wang, Shiji Song, et al.
Applied Soft Computing (2025) Vol. 171, pp. 112787-112787
Closed Access
Solving Dynamic Multi-Objective Flexible Job Shop Scheduling Problems Using a Dual-Level Integrated Deep Q-Network Approach
Hua Xu, Jing-Hua Zheng, Lan Huang, et al.
Processes (2025) Vol. 13, Iss. 2, pp. 386-386
Open Access
Research on dynamic job shop scheduling problem with AGV based on DQN
Zhengfeng Li, Wengpeng Gu, Huichao Shang, et al.
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access
Multi-Objective Scheduling Optimization of Prefabricated Components Production Using Improved Non-Dominated Sorting Generic Algorithm II
Yishi Zhao, Shaokang Du, Ming Tu, et al.
Buildings (2025) Vol. 15, Iss. 5, pp. 742-742
Open Access
Distributed heterogeneous flexible job-shop scheduling problem considering automated guided vehicle transportation via improved deep Q network
Minghai Yuan, S. Lu, Liang Zheng, et al.
Swarm and Evolutionary Computation (2025), pp. 101902-101902
Closed Access
Categorized Attention Based Hierarchical-agents Reinforcement Learning for Multi-objective Dynamic Job Shop Scheduling Problem With Machine Deterioration
Yibing Li, X. Liang, Jun Guo, et al.
Applied Soft Computing (2025), pp. 113032-113032
Closed Access
Dynamic scheduling for cloud manufacturing with uncertain events by hierarchical reinforcement learning and attention mechanism
Jianxiong Zhang, Yuming Jiang, Bing Guo, et al.
Knowledge-Based Systems (2025), pp. 113335-113335
Closed Access
Data-driven hierarchical multi-policy deep reinforcement learning framework for multi-objective multiplicity dynamic flexible job shop scheduling
Linshan Ding, Zailin Guan, Dan Luo, et al.
Journal of Manufacturing Systems (2025) Vol. 80, pp. 536-562
Closed Access
EFJSP-IBDR: Energy-efficient flexible job shop scheduling under incentive-based demand response via graph reinforcement learning with dual attention mechanism
Mingzhou Liu, Zhangjie Rui, Xi Zhang, et al.
Expert Systems with Applications (2025), pp. 127340-127340
Closed Access
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