A discrete particle swarm optimization method for feature selection in binary classification problems

@article{Unler2010ADP,
  title={A discrete particle swarm optimization method for feature selection in binary classification problems},
  author={Alper Unler and Alper Murat},
  journal={European Journal of Operational Research},
  year={2010},
  volume={206},
  pages={528-539}
}
0377-2217/$ see front matter 2010 Elsevier B.V. A doi:10.1016/j.ejor.2010.02.032 * Corresponding author. Tel.: +1 313 577 3872; fax E-mail addresses: aunler@ttmail.com (A. Unler), am This paper investigates the feature subset selection problem for the binary classification problem using logistic regression model. We developed a modified discrete particle swarm optimization (PSO) algorithm for the feature subset selection problem. This approach embodies an adaptive feature selection procedure… CONTINUE READING
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