EEuGene: Employing Electroencephalograph Signals in the Rating Strategy of a Hardware-Based Interactive Genetic Algorithm

Carl James-Reynolds, Edward Currie. EEuGene: Employing Electroencephalograph Signals in the Rating Strategy of a Hardware-Based Interactive Genetic Algorithm. In Max Bramer, Miltos Petridis, editors, Research and Development in Intelligent Systems XXXIII - Incorporating Applications and Innovations in Intelligent Systems XXIV. Proceedings of AI-2016, The Thirty-Sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 13-15, 2016. pages 343-353, Springer, 2016. [doi]

@inproceedings{James-ReynoldsC16,
  title = {EEuGene: Employing Electroencephalograph Signals in the Rating Strategy of a Hardware-Based Interactive Genetic Algorithm},
  author = {Carl James-Reynolds and Edward Currie},
  year = {2016},
  doi = {10.1007/978-3-319-47175-4_25},
  url = {https://doi.org/10.1007/978-3-319-47175-4_25},
  researchr = {https://researchr.org/publication/James-ReynoldsC16},
  cites = {0},
  citedby = {0},
  pages = {343-353},
  booktitle = {Research and Development in Intelligent Systems XXXIII - Incorporating Applications and Innovations in Intelligent Systems XXIV. Proceedings of AI-2016, The Thirty-Sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 13-15, 2016},
  editor = {Max Bramer and Miltos Petridis},
  publisher = {Springer},
  isbn = {978-3-319-47175-4},
}