%0 Journal Article
%T KohonAnts: A Self-Organizing Ant Algorithm for Clustering and Pattern Classification
%A C. Fernandes
%A A. M. Mora
%A J. J. Merelo
%A V. Ramos
%A J. L. J. Laredo
%J Computer Science
%D 2008
%I arXiv
%X In this paper we introduce a new ant-based method that takes advantage of the cooperative self-organization of Ant Colony Systems to create a naturally inspired clustering and pattern recognition method. The approach considers each data item as an ant, which moves inside a grid changing the cells it goes through, in a fashion similar to Kohonen's Self-Organizing Maps. The resulting algorithm is conceptually more simple, takes less free parameters than other ant-based clustering algorithms, and, after some parameter tuning, yields very good results on some benchmark problems.
%U http://arxiv.org/abs/0803.2695v1