Refereed full papers (journals, book chapters, international conferences)

2000

@inproceedings{FLF2000,
	vgclass =	{refpap},
	author =	{M. V. Fidelis and H. S. Lopes and A. A. Freitas},
	title =	{Discovering comprehensible classification rules with a
	genetic algorithm},
	booktitle =	{Proceedings of the Congress on Evolutionary Computation
	(CEC-2000)},
	address =	{La Jolla, CA, USA},
	pages =	{805--810},
	month =	{July},
	year =	{2000},
	url =	{http://www.ppgia.pucpr.br/\~{}alex/pub_papers.dir/CEC-2000.ps},
	abstract =	{This work presents a classification algorithm based on
	genetic algorithms (GAs) that discovers comprehensible IF-THEN rules,
	in the spirit of data mining. The proposed GA has a flexible chromosome
	encoding where each chromosome corresponds to a classification rule.
	Although the number of genes (genotype) is fixed, the number of rule
	conditions (phenotype) is variable. The GA also has specific mutation
	operators for this chromosome encoding. The algorithm was evaluated on
	two public domain, real world data sets (on the medical domains of
	dermatology and breast cancer).},
}