Publications & Citation

The methods presented in the ENERGIZE framework are detailed in the following publication:

Towards Physical Plausibility in Neuroevolution Systems

Read the paper on arXiv

Cortês, G., Lourenço, N., Machado, P. (2024). Towards Physical Plausibility in Neuroevolution Systems. In: Smith, S., Correia, J., Cintrano, C. (eds) Applications of Evolutionary Computation. EvoApplications 2024. Lecture Notes in Computer Science, vol 14635. Springer, Cham. https://doi.org/10.1007/978-3-031-56855-8_5

@inproceedings{cortes2024evoapps,
  author       = {Gabriel Cort{\^{e}}s and
                  Nuno Louren{\c{c}}o and
                  Penousal Machado},
  editor       = {Stephen L. Smith and
                  Jo{\~{a}}o Correia and
                  Christian Cintrano},
  title        = {Towards Physical Plausibility in Neuroevolution Systems},
  booktitle    = {Applications of Evolutionary Computation - 27th European Conference,
                  EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK,
                  April 3-5, 2024, Proceedings, Part {II}},
  series       = {Lecture Notes in Computer Science},
  volume       = {14635},
  pages        = {76--90},
  publisher    = {Springer},
  year         = {2024},
  url          = {https://doi.org/10.1007/978-3-031-56855-8\_5},
  doi          = {10.1007/978-3-031-56855-8\_5},
  timestamp    = {Sat, 04 May 2024 10:55:18 +0200},
  biburl       = {https://dblp.org/rec/conf/evoapps/CortesLM24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

If you find the ENERGIZE framework useful in your research or project, please consider citing the following reference to acknowledge its contribution:

ENERGIZE

• DOI: 10.5281/zenodo.11220573

• Link: View on Zenodo

Cortês, G., Lourenço, N., & Machado, P. (2024). ENERGIZE (v1.0). Zenodo. https://doi.org/10.5281/zenodo.11220573

@software{cortes2024energize,
  author       = {Gabriel Cortês and Nuno Lourenço and Penousal Machado},
  title        = {ENERGIZE (v1.0)},
  year         = {2024},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.11220573},
  url          = {https://doi.org/10.5281/zenodo.11220573}
}