Boolean binary particle swarm optimization for feature selection

@article{Yang2008BooleanBP,
  title={Boolean binary particle swarm optimization for feature selection},
  author={Cheng-San Yang and Li-Yeh Chuang and Chao-Hsuan Ke and Cheng-Hong Yang},
  journal={2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)},
  year={2008},
  pages={2093-2098}
}
Feature selection is the process of choosing a subset of features from an original set. This subset should be necessary, reasonably represent the original data, and useful for identification classification. The task of feature selection is to search for an optimal solution in a - usually large - search space. However, if the search space too large, difficulties can occur during the search process, often resulting in a considerable increase in computational time. A particle swarm optimization… CONTINUE READING
Highly Cited
This paper has 36 citations. REVIEW CITATIONS