Feature selection algorithm based on bare bones particle swarm optimization

@article{Zhang2015FeatureSA,
  title={Feature selection algorithm based on bare bones particle swarm optimization},
  author={Yong Zhang and Dun-Wei Gong and Ying Hu and Wanqiu Zhang},
  journal={Neurocomputing},
  year={2015},
  volume={148},
  pages={150-157}
}
Feature selection is a useful pre-processing technique for solving classification problems. As an almost parameter-free optimization algorithm, the bare bones particle swarm optimization (BPSO) has been applied to the topic of optimization on continuous or integer spaces, but it has not been applied to feature selection problems with binary variables. In this paper, we propose a newmethod to find optimal feature subset by the BPSO, called the binary BPSO. In this algorithm, a reinforced memory… CONTINUE READING