Species Distribution Modeling with Scalability: The Case Study of P-GARP, a Parallel Genetic Algorithm for Rule-Set Production

Fabiana Soares Santana, Cesar Alberto Bravo Pariente, Antonio Mauro Saraiva. Species Distribution Modeling with Scalability: The Case Study of P-GARP, a Parallel Genetic Algorithm for Rule-Set Production. In Chengcui Zhang, Balaji Palanisamy, Latifur Khan, Sahra Sedigh Sarvestani, editors, 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017, San Diego, CA, USA, August 4-6, 2017. pages 162-170, IEEE Computer Society, 2017. [doi]

@inproceedings{SantanaPS17,
  title = {Species Distribution Modeling with Scalability: The Case Study of P-GARP, a Parallel Genetic Algorithm for Rule-Set Production},
  author = {Fabiana Soares Santana and Cesar Alberto Bravo Pariente and Antonio Mauro Saraiva},
  year = {2017},
  doi = {10.1109/IRI.2017.93},
  url = {https://doi.org/10.1109/IRI.2017.93},
  researchr = {https://researchr.org/publication/SantanaPS17},
  cites = {0},
  citedby = {0},
  pages = {162-170},
  booktitle = {2017 IEEE International Conference on Information Reuse and Integration, IRI 2017, San Diego, CA, USA, August 4-6, 2017},
  editor = {Chengcui Zhang and Balaji Palanisamy and Latifur Khan and Sahra Sedigh Sarvestani},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-1562-1},
}