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. © 2004 Springer-Verlag.
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CITATION STYLE
Schockaert, S., De Cock, M., Cornelis, C., & Kerre, E. E. (2004). Fuzzy ant based clustering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3172 LNCS, pp. 342–349). Springer Verlag. https://doi.org/10.1007/978-3-540-28646-2_33
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