Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms

@article{Xue2014ParticleSO,
  title={Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms},
  author={Bing Xue and M. Zhang and W. Browne},
  journal={Appl. Soft Comput.},
  year={2014},
  volume={18},
  pages={261-276}
}
  • Bing Xue, M. Zhang, W. Browne
  • Published 2014
  • Computer Science
  • Appl. Soft Comput.
    • In classification, feature selection is an important data pre-processing technique, but it is a difficult problem due mainly to the large search space. Particle swarm optimisation (PSO) is an efficient evolutionary computation technique. However, the traditional personal best and global best updating mechanism in PSO limits its performance for feature selection and the potential of PSO for feature selection has not been fully investigated. This paper proposes three new initialisation strategies… CONTINUE READING
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