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Multi-colony ACO and Rough Set Theory to Distributed Feature Selection Problem Host Publication: 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II Authors: Y. Gomez, R. Bello, A. Nowé, E. Casanovas and J. Taminau Publisher: Springer Publication Year: 2009 Number of Pages: 4 ISBN: 978-3-642-02480-1
Abstract: In this paper we present a model to distributed feature selection problem (DFSP) based on ACO and RST. The algorithm looks for reducts by using a multi-colony ACO as search method and RST offers the heuristic function to measure the quality of one feature subset. General results of using this approach are shown and formers results of apply ACO and RST to the feature selection problem are referenced.
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