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:

Automatic design of hyper-heuristic based on reinforcement learning
Shin Siang Choong, Li‐Pei Wong, Chee Peng Lim
Information Sciences (2018) Vol. 436-437, pp. 89-107
Closed Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art
Maryam Karimi-Mamaghan, Mehrdad Mohammadi, Patrick Meyer, et al.
European Journal of Operational Research (2021) Vol. 296, Iss. 2, pp. 393-422
Open Access | Times Cited: 281
Recent advances in selection hyper-heuristics
John H. Drake, Ahmed Kheiri, Ender Özcan, et al.
European Journal of Operational Research (2019) Vol. 285, Iss. 2, pp. 405-428
Open Access | Times Cited: 254
A Hyperheuristic With Q-Learning for the Multiobjective Energy-Efficient Distributed Blocking Flow Shop Scheduling Problem
Fuqing Zhao, Shilu Di, Ling Wang
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 5, pp. 3337-3350
Closed Access | Times Cited: 140
A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation
Zi-Qi Zhang, Fang-Chun Wu, Bin Qian, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121050-121050
Closed Access | Times Cited: 41
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
An artificial bee colony algorithm with a Modified Choice Function for the traveling salesman problem
Shin Siang Choong, Li‐Pei Wong, Chee Peng Lim
Swarm and Evolutionary Computation (2018) Vol. 44, pp. 622-635
Closed Access | Times Cited: 107
A novel stochastic fractal search algorithm with fitness-Distance balance for global numerical optimization
Sefa Aras, Eyüp Gedіklі, Hamdi Tolga Kahraman
Swarm and Evolutionary Computation (2020) Vol. 61, pp. 100821-100821
Closed Access | Times Cited: 101
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
A review on the self and dual interactions between machine learning and optimisation
Heda Song, Isaac Triguero, Ender Özcan
Progress in Artificial Intelligence (2019) Vol. 8, Iss. 2, pp. 143-165
Open Access | Times Cited: 82
A genetic programming hyper-heuristic for the distributed assembly permutation flow-shop scheduling problem with sequence dependent setup times
Hongbo Song, Jian Lin
Swarm and Evolutionary Computation (2020) Vol. 60, pp. 100807-100807
Closed Access | Times Cited: 76
Integrated scheduling optimization of U-shaped automated container terminal under loading and unloading mode
Bowei Xu, Depei Jie, Junjun Li, et al.
Computers & Industrial Engineering (2021) Vol. 162, pp. 107695-107695
Closed Access | Times Cited: 68
Semiconductor final testing scheduling using Q-learning based hyper-heuristic
Jian Lin, Yang-Yuan Li, Hongbo Song
Expert Systems with Applications (2021) Vol. 187, pp. 115978-115978
Closed Access | Times Cited: 62
LS-HH: A Learning-Based Selection Hyper-Heuristic for Distributed Heterogeneous Hybrid Blocking Flow-Shop Scheduling
Zhongshi Shao, Weishi Shao, Dechang Pi
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 1, pp. 111-127
Closed Access | Times Cited: 39
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
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
Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors
Rui Zhong, Enzhi Zhang, Masaharu Munetomo
The Journal of Supercomputing (2024) Vol. 80, Iss. 9, pp. 12186-12217
Closed Access | Times Cited: 9
An improved genetic programming hyper-heuristic for the dynamic flexible job shop scheduling problem with reconfigurable manufacturing cells
Haoxin Guo, Jianhua Liu, Yue Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 252-263
Closed Access | Times Cited: 8
A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem
Erick Rodrí­guez-Esparza, Antonio D. Masegosa, Diego Oliva, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124197-124197
Open Access | Times Cited: 7
A KNN quantum cuckoo search algorithm applied to the multidimensional knapsack problem
José García, Carlos Maureira
Applied Soft Computing (2021) Vol. 102, pp. 107077-107077
Closed Access | Times Cited: 47
Automated Design of Metaheuristics Using Reinforcement Learning Within a Novel General Search Framework
Wenjie Yi, Rong Qu, Licheng Jiao, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 4, pp. 1072-1084
Open Access | Times Cited: 36
A deep reinforcement learning hyper-heuristic with feature fusion for online packing problems
Chaofan Tu, Ruibin Bai, Uwe Aickelin, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120568-120568
Open Access | Times Cited: 20
Green location routing problem with flexible multi-compartment for source-separated waste: A Q-learning and multi-strategy-based hyper-heuristic algorithm
Chunjian Shang, Ma Liang, Yong Liu
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105954-105954
Closed Access | Times Cited: 16
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
Collaborative Q-learning hyper-heuristic evolutionary algorithm for the production and transportation integrated scheduling of silicon electrodes
Rong Hu, Yu-Fang Huang, Xing Wu, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101498-101498
Closed Access | Times Cited: 6
Page 1 - Next Page

Scroll to top