IFS-CoCo in the landscape contest: description and results

Authors:
Joaquín Derrac;Salvador García;Francisco Herrera
Affiliations:
Dept. of Computer Science and Artificial Intelligence, CITIC-UGR, University of Granada, Granada, Spain;Dept. of Computer Science, University of Jaén, Jaén, Spain;Dept. of Computer Science and Artificial Intelligence, CITIC-UGR, University of Granada, Granada, Spain
Venue:
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Year:
2010

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Abstract

In this work, we describe the main features of IFS-CoCo, a coevolutionary method performing instance and feature selection for nearest neighbor classifiers. The coevolutionary model and several related background topics are revised, in order to present the method to the ICPR'10 contest "Classifier domains of competence: The Landscape contest". The results obtained show that our proposal is a very competitive approach in the domains considered, outperforming both the benchmark results of the contest and the nearest neighbor rule.