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## References

1. [J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, H. Terashima-Marín, and Y. Shi, CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search, SoftwareX, vol. 12, p. 100628, 2020.](https://www.sciencedirect.com/science/article/pii/S2352711020303411)
1. [J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, S. E. Conant-Pablos, H. Terashima-Marín, H., and Y. Shi. _Hyper-Heuristics to Customise Metaheuristics for Continuous Optimisation_, *Swarm and Evolutionary Computation*, 100935.](https://doi.org/10.1016/j.swevo.2021.100935)
1. [J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, S. E. Connat-Pablos, and H. Terashima-Marín, A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous Optimisation. CEC'2020.](docfiles/SearchOperators_CEC.pdf)
1. [J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, I. Amaya, Y. Shi, H. Terashima-Marín, and N. Pillay, Towards a Generalised Metaheuristic Model for Continuous Optimisation Problems, Mathematics, vol. 8, no. 11, p. 2046, Nov. 2020.](https://www.mdpi.com/2227-7390/8/11/2046)
1. [J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, I. Amaya, and N. Pillay, _Global Optimisation through Hyper-Heuristics: Unfolding Population-Based Metaheuristics_, *Appl. Sci.*, vol. 11, no. 12, p. 5620, 2021.](http://dx.doi.org/10.3390/app11125620)
1. [J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, N. Pillay. Automated Design of Unfolded Metaheuristics and the Effect of Population Size. 2021 IEEE Congress on Evolutionary Computation (CEC), 1155–1162, 2021.](https://doi.org/10.1109/CEC45853.2021.9504879)
1. [J. M. Tapia-Avitia, J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, H. Terashima-Marin, and N. Pillay. _A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems_, 2022 IEEE Congress on Evolutionary Computation (CEC), 2022.](https://doi.org/10.1109/CEC55065.2022.9870275)
1. [J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, N. Pillay. _A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics_, 2022 IEEE Congress on Evolutionary Computation (CEC), 2022.](https://doi.org/10.1109/CEC55065.2022.9870426)
### Seminal Papers
The seminal papers that describe the framework's theoretical background and software implementation are:
1. [J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, H. Terashima-Marín, and Y. Shi, _CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search_, **SoftwareX**, vol. 12, p. 100628, 2020.](https://www.sciencedirect.com/science/article/pii/S2352711020303411)
1. [J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, I. Amaya, Y. Shi, H. Terashima-Marín, and N. Pillay, _Towards a Generalised Metaheuristic Model for Continuous Optimisation Problems_, **Mathematics**, vol. 8, no. 11, p. 2046, Nov. 2020.](https://www.mdpi.com/2227-7390/8/11/2046)
1. [J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, S. E. Connat-Pablos, and H. Terashima-Marín, _A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous Optimisation_. **2020 IEEE Congress on Evolutionary Computation (CEC)**, 2020.](docfiles/SearchOperators_CEC.pdf)
1. [J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, S. E. Conant-Pablos, H. Terashima-Marín, H., and Y. Shi. _Hyper-Heuristics to Customise Metaheuristics for Continuous Optimisation_, **Swarm and Evolutionary Computation**, 100935.](https://doi.org/10.1016/j.swevo.2021.100935)

### Published Journal Papers
These are the journal articles that have been published using this framework:
1. [J. M. Tapia-Avitia, J. M. Cruz‐Duarte, I. Amaya, J. C. Ortiz-Bayliss, H. Terashima-Marín, and N. Pillay, _Analysing Hyper-Heuristics based on Neural Networks for the Automatic Design of Population-based Metaheuristics in Continuous Optimisation Problems_, **Swarm and Evolutionary Computation**, 89, 101616, 2024.](https://doi.org/10.1016/j.swevo.2024.101616)
1. [D. F. Zambrano-Gutierrez, G. H. Valencia-Rivera, J. G. Avina-Cervantes, I. Amaya, and J. M. Cruz-Duarte, _Designing Heuristic-Based Tuners for Fractional-Order PID Controllers in Automatic Voltage Regulator Systems Using a Hyper-heuristic Approach_, **Fractal Fract**, 2024.](https://doi.org/10.3390/fractalfract8040223)
1. [D. F. Zambrano-Gutierrez, J. M. Cruz-Duarte, J. G. Avina-Cervantes, J. C. Ortiz-Bayliss, J. J. Yanez-Borjas, and I. Amaya, _Automatic Design of Metaheuristics for Practical Engineering Applications_, **IEEE Access**., vol. 11, pp. 7262-7276, 2023.](https://doi.org/10.1109/ACCESS.2023.3236836)
1. [J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, I. Amaya, and N. Pillay, _Global Optimisation through Hyper-Heuristics: Unfolding Population-Based Metaheuristics_, **Appl. Sci.**, vol. 11, no. 12, p. 5620, 2021.](http://dx.doi.org/10.3390/app11125620)

### Presented Conference Papers
These are the conference articles that have been presented using this framework:
1. [D. F. Zambrano-Gutierrez, J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, I. Amaya, and J. G. Avina-Cervantes, _Beyond Traditional Tuning: Unveiling Metaheuristic Operator Trends in PID Control Tuning for Automatic Voltage Regulation_, **2024 IEEE Congress on Evolutionary Computation (CEC)**, 2024.](https://doi.org/10.1109/CEC60901.2024.10611968)
1. [G. Pérez-Espinosa, J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, H. Terashima-Marín, and N. Pillay, _Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications_, **2024 IEEE Congress on Evolutionary Computation (CEC)**, 2024.](https://doi.org/10.1109/CEC60901.2024.10611938)
1. [D. Acosta-Ugalde, J. M. Cruz-Duarte, S. E. Conant-Pablos, and J. G. Falcón-Cardona, _Beyond 'Novel' Metaphor-based Metaheuristics: An Interactive Algorithm Design Software_, **2024 IEEE Congress on Evolutionary Computation (CEC)**, 2024.](https://doi.org/10.1109/CEC60901.2024.10611912)
1. [D. F. Zambrano-Gutierrez, A. C. Molina-Porras, J. G. Avina-Cervantes, R. Correa, and J. M. Cruz-Duarte, _Designing Heuristic-Based Tuners for PID Controllers in Automatic Voltage Regulator Systems Using an Automated Hyper-Heuristic Approach_, **2023 IEEE Symposium Series on Computational Intelligence (SSCI)**, Mexico City, Mexico, 2023, pp. 1263-1268.](https://doi.org/10.1109/SSCI52147.2023.10371925)
1. [D. F. Zambrano-Gutierrez, A. C. Molina-Porras, E. Ovalle-Magallanes, I. Amaya, J. C. Ortiz-Bayliss, J. G. Avina-Cervantes, and J. M. Cruz-Duarte, _SIGNRL: A Population-Based Reinforcement Learning Method for Continuous Control_, **2023 IEEE Symposium Series on Computational Intelligence (SSCI)**, Mexico City, Mexico, 2023, pp. 1443-1448.](https://doi.org/10.1109/SSCI52147.2023.10371875)
1. [D. F. Zambrano-Gutierrez, J. M. Cruz-Duarte, and H. Castañeda, _Automatic Hyper-Heuristic to Generate Heuristic-based Adaptive Sliding Mode Controller Tuners for Buck-Boost Converters_, in **The Genetic and Evolutionary Computation Conference (GECCO)**, 2023, pp. 1-8. **Nominated to Best Paper Award**](https://dl.acm.org/doi/10.1145/3583131.3590510)
1. [J. M. Tapia-Avitia, J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, H. Terashima-Marin, and N. Pillay. _A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems_, **2022 IEEE Congress on Evolutionary Computation (CEC)**, 2022.](https://doi.org/10.1109/CEC55065.2022.9870275)
1. [J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, N. Pillay. _A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics_, **2022 IEEE Congress on Evolutionary Computation (CEC)**, 2022.](https://doi.org/10.1109/CEC55065.2022.9870426)
1. [J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, N. Pillay. _Automated Design of Unfolded Metaheuristics and the Effect of Population Size_. **2021 IEEE Congress on Evolutionary Computation (CEC)**, 1155–1162, 2021.](https://doi.org/10.1109/CEC45853.2021.9504879)

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