Two step ant colony system to solve the feature selection problem

Authors:
Rafael Bello;Amilkar Puris;Ann Nowe;Yailen Martínez;María M. García
Affiliations:
Department of Computer Science, Universidad Central de Las Villas, Cuba;Department of Computer Science, Universidad Central de Las Villas, Cuba;Comp Lab, Department of Computer Science, Vrije Universiteit Brussel, Belgium;Department of Computer Science, Universidad Central de Las Villas, Cuba;Department of Computer Science, Universidad Central de Las Villas, Cuba
Venue:
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2006

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Abstract

In this paper we propose a new model of ACO called Two-Step AntColony System. The basic idea is to split the heuristic search performed by ants into two stages. We have studied the performance of this new algorithm for the Feature Selection Problem. Experimental results obtained show the Two-Step approach significantly improves the Ant Colony System in term of computation time needed.