epistasislab/omnirep

The OMNIREP algorithm: Coevolving encodings and representations

The OMNIREP algorithm: Coevolving encodings and representations

Code accompanying the papers:

M. Sipper and J. H. Moore, "OMNIREP: Originating meaning by coevolving encodings and representations", Memetic Computing, 2019.

M. Sipper, J. H. Moore, and R. J. Urbanowicz, Coevolving Artistic Images Using OMNIREP​, In: Romero J., Ekárt A., Martins T., Correia J. (eds) Artificial Intelligence in Music, Sound, Art and Design. EvoMUSART 2020, pp. 165-178. Lecture Notes in Computer Science, vol. 12103. Springer, Cham.

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:

@article{sipper2019omnirep,
  title={OMNIREP: originating meaning by coevolving encodings and representations},
  author={Sipper, Moshe and Moore, Jason H},
  journal={Memetic computing},
  volume={11},
  number={3},
  pages={251--261},
  year={2019},
  publisher={Springer}
}

@inproceedings{sipper2020coevolving,
  title={Coevolving Artistic Images Using OMNIREP.},
  author={Sipper, Moshe and Moore, Jason H and Urbanowicz, Ryan J},
  booktitle={EvoMUSART},
  pages={165--178},
  year={2020}
}

@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}
}