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OpenAlex Citation Counts

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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:

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: 255

Showing 1-25 of 255 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: 286
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: 142
Machine Learning into Metaheuristics
El‐Ghazali Talbi
ACM Computing Surveys (2021) Vol. 54, Iss. 6, pp. 1-32
Closed Access | Times Cited: 112
Resource Allocation and Task Scheduling in Fog Computing and Internet of Everything Environments: A Taxonomy, Review, and Future Directions
Bushra Jamil, Humaira Ijaz, Mohammad Shojafar, et al.
ACM Computing Surveys (2022) Vol. 54, Iss. 11s, pp. 1-38
Open Access | Times Cited: 106
A study of ant-based pheromone spaces for generation constructive hyper-heuristics
Emilio Singh, Nelishia Pillay
Swarm and Evolutionary Computation (2022) Vol. 72, pp. 101095-101095
Open Access | Times Cited: 99
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
J. M. Górriz, I. Álvarez, Agustín Álvarez-Marquina, et al.
Information Fusion (2023) Vol. 100, pp. 101945-101945
Open Access | Times Cited: 96
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling
Fangfang Zhang, Yi Mei, Su Nguyen, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 1, pp. 147-167
Closed Access | Times Cited: 59
Large Language Models as Evolutionary Optimizers
Shengcai Liu, Caishun Chen, Xinghua Qu, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Open Access | Times Cited: 16
A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities
Abiodun Esther Omolara, Abdulatif Alabdulatif, Oludare Isaac Abiodun, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 22, pp. 15091-15118
Open Access | Times Cited: 102
A Novel Cooperative Multi-Stage Hyper-Heuristic for Combination Optimization Problems
Fuqing Zhao, Shilu Di, Jie Cao, et al.
Complex System Modeling and Simulation (2021) Vol. 1, Iss. 2, pp. 91-108
Open Access | Times Cited: 94
A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties
Yuchang Zhang, Ruibin Bai, Rong Qu, et al.
European Journal of Operational Research (2021) Vol. 300, Iss. 2, pp. 418-427
Closed Access | Times Cited: 89
Interval type-2 fuzzy sets improved by Simulated Annealing for locating the electric charging stations
Seda Türk, Muhammet Deveci, Ender Özcan, et al.
Information Sciences (2020) Vol. 547, pp. 641-666
Open Access | Times Cited: 83
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
Metaheuristics “In the Large”
Jerry Swan, Steven Adriænsen, Alexander E. I. Brownlee, et al.
European Journal of Operational Research (2021) Vol. 297, Iss. 2, pp. 393-406
Open Access | Times Cited: 63
A Survey of University Course Timetabling Problem: Perspectives, Trends and Opportunities
Mei Ching Chen, San Nah Sze, Say Leng Goh, et al.
IEEE Access (2021) Vol. 9, pp. 106515-106529
Open Access | Times Cited: 62
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
A systematic literature review for the tourist trip design problem: Extensions, solution techniques and future research lines
José Ruiz-Meza, Jairo R. Montoya‐Torres
Operations Research Perspectives (2022) Vol. 9, pp. 100228-100228
Open Access | Times Cited: 46
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
Evolutionary Algorithms for Parameter Optimization—Thirty Years Later
Thomas Bäck, Anna V. Kononova, Bas van Stein, et al.
Evolutionary Computation (2023) Vol. 31, Iss. 2, pp. 81-122
Open Access | Times Cited: 37
An Estimation of Distribution Algorithm-Based Hyper-Heuristic for the Distributed Assembly Mixed No-Idle Permutation Flowshop Scheduling Problem
Fuqing Zhao, Bo Zhu, Ling Wang
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 9, pp. 5626-5637
Closed Access | Times Cited: 34
An effective hyper heuristic-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem
Hongbo Song, You-Hong Yang, Jian Lin, et al.
Applied Soft Computing (2023) Vol. 135, pp. 110022-110022
Closed Access | Times Cited: 26
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: 24
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
A comprehensive bibliometric analysis and assessment of high-impact research on the berth allocation problem
Branislav Dragović, Nenad Zrnić, Andro Dragović, et al.
Ocean Engineering (2024) Vol. 300, pp. 117163-117163
Closed Access | Times Cited: 12
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: 10
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