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:

A novel reinforcement learning-based hyper-heuristic for heterogeneous vehicle routing problem
Wei Qin, Zilong Zhuang, Zizhao Huang, et al.
Computers & Industrial Engineering (2021) Vol. 156, pp. 107252-107252
Closed Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem
Jingwen Li, Yining Ma, Ruize Gao, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 12, pp. 13572-13585
Open Access | Times Cited: 107
Truck–drone hybrid routing problem with time-dependent road travel time
Yong Wang, Zheng Wang, Xiangpei Hu, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 144, pp. 103901-103901
Closed Access | Times Cited: 92
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities
Yanjie Song, Yutong Wu, Yangyang Guo, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101517-101517
Open Access | Times Cited: 31
Analytics and machine learning in vehicle routing research
Ruibin Bai, Xinan Chen, Zhi‐Long Chen, et al.
International Journal of Production Research (2021) Vol. 61, Iss. 1, pp. 4-30
Open Access | Times Cited: 67
An Overview and Experimental Study of Learning-Based Optimization Algorithms for the Vehicle Routing Problem
Bingjie Li, Guohua Wu, Yong‐Ming He, et al.
IEEE/CAA Journal of Automatica Sinica (2022) Vol. 9, Iss. 7, pp. 1115-1138
Open Access | Times Cited: 65
Deep reinforcement learning method for satellite range scheduling problem
Junwei Ou, Lining Xing, Feng Yao, et al.
Swarm and Evolutionary Computation (2023) Vol. 77, pp. 101233-101233
Closed Access | Times Cited: 37
Hyper-heuristics: A survey and taxonomy
Tansel Dökeroğlu, Tayfun Küçükyılmaz, El‐Ghazali Talbi
Computers & Industrial Engineering (2023) Vol. 187, pp. 109815-109815
Open Access | Times Cited: 23
Q-learning-based hyper-heuristic evolutionary algorithm for the distributed assembly blocking flowshop scheduling problem
Zi-Qi Zhang, Bin Qian, Rong Hu, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110695-110695
Closed Access | Times Cited: 22
Machine Learning to Solve Vehicle Routing Problems: A Survey
Aigerim Bogyrbayeva, Meraryslan Meraliyev, Taukekhan Mustakhov, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 6, pp. 4754-4772
Closed Access | Times Cited: 12
DEA$$^2$$H$$^2$$: differential evolution architecture based adaptive hyper-heuristic algorithm for continuous optimization
Rui Zhong, Jun Yu
Cluster Computing (2024)
Closed Access | Times Cited: 11
A feedback learning-based selection hyper-heuristic for distributed heterogeneous hybrid blocking flow-shop scheduling problem with flexible assembly and setup time
Zhongshi Shao, Weishi Shao, Jianrui Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107818-107818
Closed Access | Times Cited: 9
A reinforcement learning-based hyper-heuristic for AGV task assignment and route planning in parts-to-picker warehouses
Kunpeng Li, Tengbo Liu, P.N. Ram Kumar, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 185, pp. 103518-103518
Closed Access | Times Cited: 9
Scheduling flexible manufacturing cell with no-idle flow-lines and job-shop via Q-learning-based genetic algorithm
Lixin Cheng, Qiuhua Tang, Liping Zhang, et al.
Computers & Industrial Engineering (2022) Vol. 169, pp. 108293-108293
Closed Access | Times Cited: 31
Parallel hyper heuristic algorithm based on reinforcement learning for the corridor allocation problem and parallel row ordering problem
Junqi Liu, Zeqiang Zhang, Silu Liu, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101977-101977
Closed Access | Times Cited: 16
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
Zefang Zong, Jingwei Wang, Tao Feng, et al.
ACM Transactions on Knowledge Discovery from Data (2025)
Open Access
A selection hyper-heuristic algorithm with Q-learning mechanism
Fuqing Zhao, Yuebao Liu, Ningning Zhu, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110815-110815
Closed Access | Times Cited: 13
Surrogate Ensemble-Assisted Hyper-Heuristic Algorithm for Expensive Optimization Problems
Rui Zhong, Jun Yu, Chengqi Zhang, et al.
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 13
Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation
Erick Rodrí­guez-Esparza, Oscar Ramos-Soto, Antonio D. Masegosa, et al.
IEEE Access (2024) Vol. 12, pp. 29503-29524
Open Access | Times Cited: 4
Regulating the imbalance for the container relocation problem: A deep reinforcement learning approach
Yin Tang, Zengjian Ye, Yongjian Chen, et al.
Computers & Industrial Engineering (2024) Vol. 191, pp. 110111-110111
Closed Access | Times Cited: 4
Enhancing the generalization capability of 2D array pointer networks through multiple teacher-forcing knowledge distillation
Qidong Liu, X. Y. Shen, Chaoyue Liu, et al.
Journal of Automation and Intelligence (2025)
Open Access
Study on deep reinforcement learning for multi-task scheduling in cloud manufacturing
Jiuhong Xiao, Yishuai Cai, Yong Chen
International Journal of Computer Integrated Manufacturing (2025), pp. 1-18
Closed Access
Two-stage graph attention networks and Q-learning based maintenance tasks scheduling
Xiaoyong Gao, Peng Diao, Yuning Yang, et al.
Applied Intelligence (2025) Vol. 55, Iss. 5
Closed Access
A low-carbon scheduling method based on improved ant colony algorithm for underground electric transportation vehicles
Yizhe Zhang, Yinan Guo, Yao Huang, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 2
Open Access
Optimizing Traffic Routes With Enhanced Double Q‐Learning
Mayur Patil, Pooja Tambolkar, Shawn Midlam‐Mohler
IET Intelligent Transport Systems (2025) Vol. 19, Iss. 1
Open Access
Diversity-based niche genetic algorithm for bi-objective mixed fleet vehicle routing problem with time window
Shengli Du, Shilong Li, Honggui Han, et al.
Neural Computing and Applications (2025)
Closed Access
Page 1 - Next Page

Scroll to top