A model based on ant colony system and rough set theory to feature selection

Authors:
R. Bello;A. Nowe;Y. Caballero;Y. Gómez;P. Vrancx
Affiliations:
Universidad Central de Las Villas, Cuba;Vrije Universiteit Brussel, Belgium;Universidad de Camagüey, Cuba;Universidad Central de Las Villas, Cuba;Vrije Universiteit Brussel, Belgium
Venue:
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Year:
2005

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Abstract

In this paper we propose a hybrid approach to feature selection based on Ant Colony System algorithm and Rough Set Theory. Rough Set Theory offers the heuristic function to measure the quality of a single subset. We have studied the influence of the setting of the parameters for this problem, in particular for finding reducts. Experimental results show this hybrid approach is a promising method for features selection.