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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:

CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search
Jorge M. Cruz‐Duarte, Iván Amaya, José Carlos Ortíz-Bayliss, et al.
SoftwareX (2020) Vol. 12, pp. 100628-100628
Open Access | Times Cited: 19

Showing 19 citing articles:

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
Hyper-Heuristics to customise metaheuristics for continuous optimisation
Jorge M. Cruz‐Duarte, Iván Amaya, José Carlos Ortíz-Bayliss, et al.
Swarm and Evolutionary Computation (2021) Vol. 66, pp. 100935-100935
Closed Access | Times Cited: 51
Thermophotovoltaic emitter design with a hyper-heuristic custom optimizer enabled by deep learning surrogates
Preston Bohm, Chiyu Yang, Akanksha K. Menon, et al.
Energy (2024) Vol. 291, pp. 130424-130424
Open Access | Times Cited: 5
Automatic Design of Metaheuristics for Practical Engineering Applications
Daniel F. Zambrano-Gutierrez, Jorge M. Cruz‐Duarte, Juan Gabriel Avina–Cervantes, et al.
IEEE Access (2023) Vol. 11, pp. 7262-7276
Open Access | Times Cited: 9
Global Optimisation through Hyper-Heuristics: Unfolding Population-Based Metaheuristics
Jorge M. Cruz‐Duarte, José Carlos Ortíz-Bayliss, Iván Amaya, et al.
Applied Sciences (2021) Vol. 11, Iss. 12, pp. 5620-5620
Open Access | Times Cited: 13
Designing Heuristic-Based Tuners for Fractional-Order PID Controllers in Automatic Voltage Regulator Systems Using a Hyper-Heuristic Approach
Daniel F. Zambrano-Gutierrez, Gerardo Humberto Valencia-Rivera, Juan Gabriel Avina–Cervantes, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 4, pp. 223-223
Open Access | Times Cited: 1
Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems
José M. Tapia-Avitia, Jorge M. Cruz‐Duarte, Iván Amaya, et al.
Swarm and Evolutionary Computation (2024) Vol. 89, pp. 101616-101616
Closed Access | Times Cited: 1
A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems
José M. Tapia-Avitia, Jorge M. Cruz‐Duarte, Iván Amaya, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2022), pp. 1-8
Closed Access | Times Cited: 5
Nested Markov chain hyper-heuristic (NMHH): a hybrid hyper-heuristic framework for single-objective continuous problems
Nándor Bándi, Noémi Gaskó
PeerJ Computer Science (2024) Vol. 10, pp. e1785-e1785
Open Access
Automated Design of Unfolded Metaheuristics and the Effect of Population Size
Jorge M. Cruz‐Duarte, Iván Amaya, José Carlos Ortíz-Bayliss, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2021), pp. 1155-1162
Closed Access | Times Cited: 4
Beyond Traditional Tuning: Unveiling Metaheuristic Operator Trends in PID Control Tuning for Automatic Voltage Regulation
Daniel F. Zambrano-Gutierrez, Jorge M. Cruz‐Duarte, José Carlos Ortíz-Bayliss, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
Beyond ‘Novel’ Metaphor-based Metaheuristics: An Interactive Algorithm Design Software
Diego Acosta-Ugalde, Jorge M. Cruz‐Duarte, Santiago Enrique Conant-Pablos, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications
Guillermo Pérez-Espinosa, Jorge M. Cruz‐Duarte, Iván Amaya, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
MatHH: A Matlab-based Hyper-Heuristic framework
Jorge M. Cruz‐Duarte, José Carlos Ortíz-Bayliss, Iván Amaya
SoftwareX (2022) Vol. 18, pp. 101047-101047
Open Access | Times Cited: 2
Naïve Hyper-heuristic Online Learning to Generate Unfolded Population-based Metaheuristics to Solve Continuous Optimization Problems
Jorge M. Cruz‐Duarte, Iván Amaya, José Carlos Ortíz-Bayliss, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2021), pp. 1-8
Closed Access | Times Cited: 2
Correlation Feature Selection (CFS) and Feature Weighting (CFW) Based Improved BPSO for Gene Selection and Cancer Classification
Tirath Prasad Sahu, Анкита
(2023), pp. 208-214
Closed Access
Designing Heuristic-Based Tuners for PID Controllers in Automatic Voltage Regulator Systems Using an Automated Hyper-Heuristic Approach
Daniel F. Zambrano-Gutierrez, Alberto C. Molina-Porras, Juan Gabriel Avina–Cervantes, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 1263-1268
Closed Access
Applying Reinforcement Learning to Combine Multiple Swarm-based Algorithms
Rodrigo Cesar Lira, Mariana Macedo, Hugo Valadares Siqueira, et al.
(2023), pp. 1-6
Closed Access
A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics
Jorge M. Cruz‐Duarte, Iván Amaya, José Carlos Ortíz-Bayliss, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2022), pp. 1-8
Closed Access
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