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Digital Object Identifier (DOI) : 10.14569/IJACSA.2012.031128
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 11, 2012.
Abstract: Swarm intelligence is a collective effort of simple agents working locally but resulting in wonderful patterns. Labor division, decentralized control, stigmergy and self organization are the major components of swarm intelligence. Ant based clustering is inspired by brood sorting in ant colonies, an example of decentralized and self organized work. Stigmergy in ant colonies is via a chemical pheromone. This paper proposes a pheromone based ant clustering algorithm. In the proposed method, ant agents use pheromone to communicate the place to make the clusters, not the path as in real ants. The pheromone concentration helps to decide pick and drop of objects with less parameters and calculations. The simulations have shown good and dense cluster results.
Saroj Bala, S. I. Ahson and R. P. Agarwal, “A Pheromone Based Model for Ant Based Clustering” International Journal of Advanced Computer Science and Applications(IJACSA), 3(11), 2012. http://dx.doi.org/10.14569/IJACSA.2012.031128