A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection

Abstract. Cooperative Coevolution is a technique in the area of Evolutionary Computation. It has been applied to many combinatorial problems with great success. This contribution proposes a Cooperative Coevolution model for simultaneous performing some data reduction processes in classification with nearest neighbours methods through feature and instance selection. In order to check its performance, we have compared the proposal with other evolutionary approaches for performing data reduction. Results have been analyzed and contrasted by using non-parametric statistical tests, finally showing that the proposed model outperforms the noncooperative evolutionary techniques.

• Type: Conference
• Year: 2009
• Where: HAIS
• Authors: Joaquín Derrac, Salvador García, Francisco Herrera
• Keywords: Artificial Intelligence, Cooperative Coevolution, Cooperative Coevolution Model, Data Reduction, HAIS 2009