@inbook {Cano2005,
	title = {Instance Selection Using Evolutionary Algorithms: An Experimental Study},
	booktitle = {Advanced Techniques in Knowledge Discovery and Data Mining},
	year = {2005},
	pages = {127{\textendash}152},
	publisher = {Springer London},
	organization = {Springer London},
	address = {London},
	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.},
	isbn = {978-1-84628-183-9},
	doi = {10.1007/1-84628-183-0_5},
	url = {https://doi.org/10.1007/1-84628-183-0_5},
	author = {J. R. Cano and F. Herrera and Lozano, Manuel},
	editor = {Pal, Nikhil R. and Jain, Lakhmi}
}
