Abstract
In this paper we propose a new model of ACO called Two-Step Ant Colony 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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Bello, R., Puris, A., Nowe, A., Martínez, Y., & García, M. M. (2006). Two Step Ant Colony System to solve the feature selection problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4225 LNCS, pp. 588–596). Springer Verlag. https://doi.org/10.1007/11892755_61
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