文章基本信息

标题：A Pheromone Based Model for Ant Based Clustering
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作者：Saroj Bala ; S. I. Ahson ; R. P. Agarwal 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2012
卷号：3
期号：11
DOI：10.14569/IJACSA.2012.031128
出版社：Science and Information Society (SAI)
摘要：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.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Ant colony optimization; Clustering; Stigmergy; Pheromone.