@inbook{127,
  author = {José Ramón Cano De Amo and Francisco Herrera Triguero and Manuel Lozano},
  editor = {Nikhil Pal and Lakhmi Jain},
  title = {Instance Selection Using Evolutionary Algorithms: An Experimental Study},
  abstract = {In this chapter, we carry out an empirical study of the performance of four representative evolutionary algorithm models considering two instance-selection perspectives, the prototype selection and the training set selection for data reduction in knowledge discovery. This study includes a comparison between these algorithms and other nonevolutionary instance-selection algorithms. The results show that the evolutionary instance-selection algorithms consistently outperform the nonevolutionary ones, offering two main advantages simultaneously, better instance-reduction rates and higher classification accuracy.},
  year = {2005},
  pages = {127-152},
  publisher = {Springer London},
  address = {London},
  isbn = {978-1-84628-183-9},
  url = {https://doi.org/10.1007/1-84628-183-0_5},
  doi = {10.1007/1-84628-183-0_5},
}