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-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: 12
Linshan Ding, Zailin Guan, Mudassar Rauf, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101550-101550
Closed Access | Times Cited: 12
Showing 12 citing articles:
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi, Todd Charter, Marjan Yaghoubi, et al.
Computers & Industrial Engineering (2025), pp. 110856-110856
Open Access
Maziyar Khadivi, Todd Charter, Marjan Yaghoubi, et al.
Computers & Industrial Engineering (2025), pp. 110856-110856
Open Access
A three-stage adaptive memetic algorithm for multi-objective optimization of flexible assembly job-shop scheduling problem
Chenlu Zhang, Jiamei Feng, Mingchuan Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110098-110098
Closed Access
Chenlu Zhang, Jiamei Feng, Mingchuan Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110098-110098
Closed Access
Real-time scheduling for production-logistics collaborative environment using multi-agent deep reinforcement learning
Yuxin Li, Xinyu Li, Liang Gao
Advanced Engineering Informatics (2025) Vol. 65, pp. 103216-103216
Closed Access
Yuxin Li, Xinyu Li, Liang Gao
Advanced Engineering Informatics (2025) Vol. 65, pp. 103216-103216
Closed Access
A novel deep self-learning method for flexible job-shop scheduling problems with multiplicity: Deep reinforcement learning assisted the fluid master-apprentice evolutionary algorithm
Linshan Ding, Dan Luo, Mudassar Rauf, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101907-101907
Closed Access
Linshan Ding, Dan Luo, Mudassar Rauf, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101907-101907
Closed Access
Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning
Meng Xu, Yi Mei, Fangfang Zhang, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Meng Xu, Yi Mei, Fangfang Zhang, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Dynamic scheduling of hybrid flow shop problem with uncertain process time and flexible maintenance using NeuroEvolution of Augmenting Topologies
Yarong Chen, Junjie Zhang, Mudassar Rauf, et al.
IET Collaborative Intelligent Manufacturing (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 3
Yarong Chen, Junjie Zhang, Mudassar Rauf, et al.
IET Collaborative Intelligent Manufacturing (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 3
Low-Carbon Flexible Job Shop Scheduling Problem Based on Deep Reinforcement Learning
Yimin Tang, Lihong Shen, Shuguang Han
Sustainability (2024) Vol. 16, Iss. 11, pp. 4544-4544
Open Access | Times Cited: 2
Yimin Tang, Lihong Shen, Shuguang Han
Sustainability (2024) Vol. 16, Iss. 11, pp. 4544-4544
Open Access | Times Cited: 2
Deep reinforcement learning for solving car resequencing with selectivity banks in automotive assembly shops
Yuzhe Huang, Gaocai Fu, Buyun Sheng, et al.
International Journal of Production Research (2024), pp. 1-22
Closed Access | Times Cited: 2
Yuzhe Huang, Gaocai Fu, Buyun Sheng, et al.
International Journal of Production Research (2024), pp. 1-22
Closed Access | Times Cited: 2
An Adaptive Search Algorithm for Multiplicity Dynamic Flexible Job Shop Scheduling with New Order Arrivals
Linshan Ding, Zailin Guan, Dan Luo, et al.
Symmetry (2024) Vol. 16, Iss. 6, pp. 641-641
Open Access | Times Cited: 1
Linshan Ding, Zailin Guan, Dan Luo, et al.
Symmetry (2024) Vol. 16, Iss. 6, pp. 641-641
Open Access | Times Cited: 1
Neuro-Evolution of Augmenting Topologies for Dynamic Scheduling of Flexible Job Shop Problem
Jian Huang, Yarong Chen, Jabir Mumtaz, et al.
(2024) Vol. 45, pp. 19-19
Open Access
Jian Huang, Yarong Chen, Jabir Mumtaz, et al.
(2024) Vol. 45, pp. 19-19
Open Access
Research on Sustainable Scheduling of Material-Handling Systems in Mixed-Model Assembly Workshops Based on Deep Reinforcement Learning
Beixin Xia, Yuan Li, Jiayi Gu, et al.
Sustainability (2024) Vol. 16, Iss. 22, pp. 10025-10025
Open Access
Beixin Xia, Yuan Li, Jiayi Gu, et al.
Sustainability (2024) Vol. 16, Iss. 22, pp. 10025-10025
Open Access
An innovative deep reinforcement learning-driven cutting parameters adaptive optimization method taking tool wear into account
Zhilie Gao, Ni Chen, Yingfei Yang, et al.
Measurement (2024), pp. 116075-116075
Closed Access
Zhilie Gao, Ni Chen, Yingfei Yang, et al.
Measurement (2024), pp. 116075-116075
Closed Access
Enhancing Construction Management Digital Twins Through Process Mining of Progress Logs
Yongzhi Wang, Shaoming Liao, Zhiqun Gong, et al.
Sustainability (2024) Vol. 16, Iss. 22, pp. 10064-10064
Open Access
Yongzhi Wang, Shaoming Liao, Zhiqun Gong, et al.
Sustainability (2024) Vol. 16, Iss. 22, pp. 10064-10064
Open Access
Efficient Task Scheduling Using Constraints Programming for Enhanced Planning and Reliability
Jungwoo Cho, Sven Jung, Kyungmo Yang, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11396-11396
Open Access
Jungwoo Cho, Sven Jung, Kyungmo Yang, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11396-11396
Open Access
