Efficient Hybrid Nature-Inspired Binary Optimizers for Feature Selection

Efficient Hybrid Nature-Inspired Binary Optimizers for Feature Selection. Mafarja, M. M., Qasem, A., Heidari, A. A., Aljarah, I., Faris, H., & Mirjalili, S. Cogn. Comput., 12(1):150–175, 2020.

Paper doi bibtex

@article{DBLP:journals/cogcom/MafarjaQHAFM20,
  author    = {Majdi M. Mafarja and
               Asma Qasem and
               Ali Asghar Heidari and
               Ibrahim Aljarah and
               Hossam Faris and
               Seyedali Mirjalili},
  title     = {Efficient Hybrid Nature-Inspired Binary Optimizers for Feature Selection},
  journal   = {Cogn. Comput.},
  volume    = {12},
  number    = {1},
  pages     = {150--175},
  year      = {2020},
  url       = {https://doi.org/10.1007/s12559-019-09668-6},
  doi       = {10.1007/s12559-019-09668-6},
  timestamp = {Sat, 05 Sep 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/cogcom/MafarjaQHAFM20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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