/SAFE

The SAFE Algorithm: Solution and Fitness Evolution

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

The SAFE Algorithm: Solution and Fitness Evolution

Also: M. Sipper, J. H. Moore, and R. J. Urbanowicz, New pathways in coevolutionary computation, Genetic Programming Theory and Practice XVII (GPTP 2019), Springer Nature Switzerland AG, 2020.

If you wish to cite this work:

@misc{sipper2018know,
  title={To know the objective is not (necessarily) to know the objective function},
  author={Sipper, Moshe and Urbanowicz, Ryan J and Moore, Jason H},
  journal={BioData mining},
  volume={11},
  number={1},
  pages={1--3},
  year={2018},
  publisher={BioMed Central}
}

@inproceedings{sipper2019solution,
  title={Solution and fitness evolution (SAFE): Coevolving solutions and their objective functions},
  author={Sipper, Moshe and Moore, Jason H and Urbanowicz, Ryan J},
  booktitle={European Conference on Genetic Programming},
  pages={146--161},
  year={2019},
  organization={Springer}
}

@inproceedings{sipper2019solution,
  title={Solution and fitness evolution (SAFE): A study of multiobjective problems},
  author={Sipper, Moshe and Moore, Jason H and Urbanowicz, Ryan J},
  booktitle={2019 IEEE Congress on Evolutionary Computation (CEC)},
  pages={1868--1874},
  year={2019},
  organization={IEEE}
}

@article{sipper2020new,
  title={New Pathways in Coevolutionary Computation},
  author={Sipper, Moshe and Moore, Jason H and Urbanowicz, Ryan J},
  journal={Genetic Programming Theory and Practice XVII},
  pages={295},
  year={2020},
  publisher={Springer Nature}
}