A memetic algorithm for evolutionary prototype selection: A scaling up approach

@article{Garca2008AMA,
  title={A memetic algorithm for evolutionary prototype selection: A scaling up approach},
  author={Salvador Garc{\'i}a and Jos{\'e} Ram{\'o}n Cano and Francisco Herrera},
  journal={Pattern Recognition},
  year={2008},
  volume={41},
  pages={2693-2709}
}
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. Evolutionary algorithms have been used recently for prototype selection showing good results. However, due to the complexity of this problem when the size of the databases increases, the behaviour of evolutionary algorithms could deteriorate considerably because of a lack of convergence. This additional problem is… CONTINUE READING
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