Binary Dragonfly Algorithm for Feature Selection

@article{Mafarja2017BinaryDA,
  title={Binary Dragonfly Algorithm for Feature Selection},
  author={Majdi M. Mafarja and Derar Eleyan and Iyad Jaber and Abdelaziz I. Hammouri and Seyedali Mirjalili},
  journal={2017 International Conference on New Trends in Computing Sciences (ICTCS)},
  year={2017},
  pages={12-17}
}
Wrapper feature selection methods aim to reduce the number of features from the original feature set to and improve the classification accuracy simultaneously. In this paper, a wrapper-feature selection algorithm based on the binary dragonfly algorithm is proposed. Dragonfly algorithm is a recent swarm intelligence algorithm that mimics the behavior of the dragonflies. Eighteen UCI datasets are used to evaluate the performance of the proposed approach. The results of the proposed method are… CONTINUE READING