Abstract
Various clustering methods based on the behaviour of real ants have been proposed. In this paper, we develop a new algorithm in which the behaviour of the artificial ants is governed by fuzzy IF–THEN rules. Our algorithm is conceptually simple, robust and easy to use due to observed dataset independence of the parameter values involved.
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Schockaert, S., De Cock, M., Cornelis, C., Kerre, E.E. (2004). Fuzzy Ant Based Clustering. In: Dorigo, M., Birattari, M., Blum, C., Gambardella, L.M., Mondada, F., StĂĽtzle, T. (eds) Ant Colony Optimization and Swarm Intelligence. ANTS 2004. Lecture Notes in Computer Science, vol 3172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28646-2_33
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DOI: https://doi.org/10.1007/978-3-540-28646-2_33
Publisher Name: Springer, Berlin, Heidelberg
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