A new approach for auto-organizing a groups of artificial ants

Authors:
Hanane Azzag;Mustapha Lebbah
Affiliations:
LIPN, UMR, Université Paris 13, CNRS, Villetaneuse;Mustapha.Lebbah@lipn.univ-paris13.fr
Venue:
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part II
Year:
2009

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Abstract

We present in this paper a new combined clustering algorithm based on two biomimetic models : artificial ants and self-organizing map (SOM). We describe the main principles of our method that aims at auto-organizing a group of homogeneous ants (data's). We show how these principles can be applied to the problem of data clustering.