Boosting GA Performance: A Fuzzy Approach to Uncertainty Issues Involving Parameters in Genetic Algorithms

João Victor Ribeiro Ferro, José Rubens da Silva Brito, Robério José Rogério dos Santos, Roberta Vilhena Vieira Lopes, Evandro de Barros Costa. Boosting GA Performance: A Fuzzy Approach to Uncertainty Issues Involving Parameters in Genetic Algorithms. In Ana Paula Rocha 0001, Luc Steels, H. Jaap van den Herik, editors, Proceedings of the 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Volume 3, Rome, Italy, February 24-26, 2024. pages 750-757, SCITEPRESS, 2024. [doi]

@inproceedings{FerroBSLC24,
  title = {Boosting GA Performance: A Fuzzy Approach to Uncertainty Issues Involving Parameters in Genetic Algorithms},
  author = {João Victor Ribeiro Ferro and José Rubens da Silva Brito and Robério José Rogério dos Santos and Roberta Vilhena Vieira Lopes and Evandro de Barros Costa},
  year = {2024},
  doi = {10.5220/0012389200003636},
  url = {https://doi.org/10.5220/0012389200003636},
  researchr = {https://researchr.org/publication/FerroBSLC24},
  cites = {0},
  citedby = {0},
  pages = {750-757},
  booktitle = {Proceedings of the 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Volume 3, Rome, Italy, February 24-26, 2024},
  editor = {Ana Paula Rocha 0001 and Luc Steels and H. Jaap van den Herik},
  publisher = {SCITEPRESS},
  isbn = {978-989-758-680-4},
}