Scatter search for high-dimensional feature selection using feature grouping

@article{GarcaTorres2021ScatterSF,
  title={Scatter search for high-dimensional feature selection using feature grouping},
  author={Miguel Garc{\'i}a-Torres and Francisco A. G{\'o}mez-Vela and Federico Divina and Diego Pinto and Jos{\'e} Luis V{\'a}zquez Noguera and Julio C{\'e}sar Mello Rom{\'a}n},
  journal={Proceedings of the Genetic and Evolutionary Computation Conference Companion},
  year={2021},
  url={https://api.semanticscholar.org/CorpusID:235770316}
}
This work proposes a novel Scatter Search strategy that uses feature grouping to generate a population of diverse and high quality solutions and shows that the proposal is able to find smaller subsets of features while keeping a similar predictive power of the classifier models.
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