Citation Request

• Learn more about Random Vector Functional Link from paper 01

• Learn more about on how to use Gradient Free Optimization to fine-tune the hyper-parameter of RVFL networks from paper 02

• Learn more about on how to use Gradient Free Optimization to optimize the weights of RVFL networks from paper 03.

Please include these citations if you plan to use this library:

@software{nguyen_van_thieu_2023_10258280,
  author       = {Nguyen Van Thieu},
  title        = {GrafoRVFL: A Gradient-Free Optimization Framework for Boosting Random Vector Functional Link Network},
  month        = June,
  year         = 2025,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.10258280},
  url          = {https://github.com/thieu1995/GrafoRVFL}
}

@article{van2023mealpy,
  title={MEALPY: An open-source library for latest meta-heuristic algorithms in Python},
  author={Van Thieu, Nguyen and Mirjalili, Seyedali},
  journal={Journal of Systems Architecture},
  year={2023},
  publisher={Elsevier},
  doi={10.1016/j.sysarc.2023.102871}
}

@inproceedings{nguyen2019building,
  title={Building resource auto-scaler with functional-link neural network and adaptive bacterial foraging optimization},
  author={Nguyen, Thieu and Nguyen, Binh Minh and Nguyen, Giang},
  booktitle={International Conference on Theory and Applications of Models of Computation},
  pages={501--517},
  year={2019},
  organization={Springer}
}

@inproceedings{nguyen2018resource,
  title={A resource usage prediction system using functional-link and genetic algorithm neural network for multivariate cloud metrics},
  author={Nguyen, Thieu and Tran, Nhuan and Nguyen, Binh Minh and Nguyen, Giang},
  booktitle={2018 IEEE 11th conference on service-oriented computing and applications (SOCA)},
  pages={49--56},
  year={2018},
  organization={IEEE},
  doi={10.1109/SOCA.2018.00014}
}

If you have an open-ended or a research question, you can contact me via nguyenthieu2102@gmail.com.

Important links

• Official source code repo: https://github.com/thieu1995/GrafoRVFL

• Official document: https://graforvfl.readthedocs.io/

• Download releases: https://pypi.org/project/graforvfl/

• Issue tracker: https://github.com/thieu1995/GrafoRVFL/issues

• Notable changes log: https://github.com/thieu1995/GrafoRVFL/blob/main/ChangeLog.md

• This project also related to our another projects which are “optimization” and “machine learning”, check it here:

  • https://github.com/thieu1995/mealpy

  • https://github.com/thieu1995/metaheuristics

  • https://github.com/thieu1995/opfunu

  • https://github.com/thieu1995/enoppy

  • https://github.com/thieu1995/permetrics

  • https://github.com/thieu1995/MetaCluster

  • https://github.com/thieu1995/pfevaluator

  • https://github.com/thieu1995/intelelm

  • https://github.com/thieu1995/reflame

  • https://github.com/thieu1995/MetaPerceptron

  • https://github.com/aiir-team

License

The project is licensed under GNU General Public License (GPL) V3 license.