The Multiple Pheromone Ant Clustering Algorithm
Ant Colony Optimisation algorithms mimic the way ants use pheromones for marking paths to important locations. Pheromone traces are followed and reinforced by other ants, but also evaporate over time. As a consequence, optimal paths attract more pheromone, whilst the less useful paths fade away. In...
Main Author: | Chircop, Jan |
---|---|
Published: |
Aston University
2014
|
Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629626 |
Similar Items
-
Clustering algorithms for large scale graph data
by: McConville, Ryan
Published: (2017) -
On the importance and incorporation of additional knowledge in cluster analysis
by: Feyereisl, Jan
Published: (2010) -
Clustering ensemble method
by: Alqurashi, Tahani
Published: (2017) -
Application of Clustering and Classification Methods to Pattern Recognition
by: Ding, Yunfei
Published: (2009) -
Generating neural trees with topology preserving clustering
by: Doherty, Kevin Anthony James
Published: (2006)