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  year={2017},
  publisher={IEEE}
}
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  publisher={IEEE}
}
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  year={2015},
  publisher={Association for Computing Machinery}
}
@article{DEAP, 
  title={{DEAP}: Evolutionary algorithms made easy},
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@inproceedings{Optuna,
  title={Optuna: A next-generation hyperparameter optimization framework},
  author={Akiba, Takuya and Sano, Shotaro and Yanase, Toshihiko and Ohta, Takeru and Koyama, Masanori},
  booktitle={Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
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  year={2019},
  publisher={Association for Computing Machinery}
}
@inproceedings{Paradiseo,
  title={Paradiseo: From a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of {P}aradiseo},
  author={Dreo, Johann and Liefooghe, Arnaud and Verel, S{\'e}bastien and Schoenauer, Marc and Merelo, Juan J and Quemy, Alexandre and Bouvier, Benjamin and Gmys, Jan},
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  year={2021},
  publisher={Association for Computing Machinery}
}
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  title={{ECJ} at 20: Toward a general metaheuristics toolkit},
  author={Scott, Eric O and Luke, Sean},
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  publisher={Association for Computing Machinery}
}
@inproceedings{ecr,
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  year={2018},
  publisher={Association for Computing Machinery}
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@article{pagmo,
  title={A parallel global multiobjective framework for optimization: pagmo},
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@article{PyGAD
  title={{PyGAD}: An intuitive genetic algorithm python library},
  author={Fawzy Gad, Ahmed},
  eprint={2106.06158},
  archivePrefix={arXiv},
  primaryClass={cs.NE},
  year={2021}
}