Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments. Yousefi, M., Yousefi, M., Ferreira, R. P. M., Kim, J. H., & Fogliatto, F. S. Artificial Intelligence in Medicine, 84:23-33, 2018.
Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments. [link]Link  Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments. [link]Paper  bibtex   
@article{journals/artmed/YousefiYFKF18,
  added-at = {2018-02-14T00:00:00.000+0100},
  author = {Yousefi, Milad and Yousefi, Moslem and Ferreira, Ricardo Poley Martins and Kim, Joong Hoon and Fogliatto, Flavio S.},
  biburl = {https://www.bibsonomy.org/bibtex/20bdc535c5d67e2a2c36d3da3a1236db7/dblp},
  ee = {https://doi.org/10.1016/j.artmed.2017.10.002},
  interhash = {5e479da3910b0a0fc76d54348241a29d},
  intrahash = {0bdc535c5d67e2a2c36d3da3a1236db7},
  journal = {Artificial Intelligence in Medicine},
  keywords = {dblp},
  pages = {23-33},
  timestamp = {2018-02-15T11:35:57.000+0100},
  title = {Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments.},
  url = {http://dblp.uni-trier.de/db/journals/artmed/artmed84.html#YousefiYFKF18},
  volume = 84,
  year = 2018
}
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