Pheromone-based concept in Ant Clustering

This paper proposes one of the ideas related to swarm intelligence in social insects, by using ant pheromone concepts in ant-based clustering. Multiple pheromones in ant-based clustering (MPABC) with ant nest algorithm and with ant memory algorithm are our two proposed methods of multiple pheromone concepts in ant-based clustering. Both algorithms have used the artificial pheromones which consist of trailing pheromone and foraging pheromone. These pheromones help ants decide which direction to go or where to pick up or drop the item of food. The experiments on clustering time in both algorithms are compared with those of the basic algorithm of ant-based clustering. Finally, the experimental results have shown that the artificial pheromones have an effect on reducing the clustering time compared with the basic algorithm.