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Swarm Intelligence- Ant Colony Foraging Behavior
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 1 - Number 27 |
| Year of Publication: 2010 |
| Authors: Lakshmi Narasimha Guptha. M. R, Prasaanth.M, Srikrishna.S |
10.5120/492-804
|
Lakshmi Narasimha Guptha. M. R, Prasaanth.M, Srikrishna.S . Swarm Intelligence- Ant Colony Foraging Behavior. International Journal of Computer Applications. 1, 27 ( February 2010), 95-98. DOI=10.5120/492-804
Abstract
This paper focuses on optimizing the way ant colonies forage for food with regard to efficiency based on time as well as on quantity while utilizing only the natural capabilities of ants. This is achieved primarily by modifying how ants make use of the information available to them. The various ways in which such optimizations can contribute to advances in different fields are also discussed. The way in which the natural ant behavior and the optimizations that are described contribute to vehicle motion optimization, development of shortest path algorithms and distributed robotics is also discussed.
References
- Gianni Di Caro, "Ant Colony Optimization and its Application to Adaptive Routing in Telecommunication."
- Marco Dorigo, Mauro Birattari, and Thomas St¨ utzle, "Ant Colony Optimization: Arti?cial Ants as a Computational Intelligence Technique."
- Hölldobler B, Wilson EO (1990). "The Ants." Harvard University Press.
- Laurent Keller, Elisabeth Gordon, "The Lives of Ants" Oxford University Press, US.
- Liviu A. Panait, Sean Luke, "Ant Foraging Revisited."
- Carrol CR, Janzen DH (1973). "Ecology of foraging by ants". Annual Review of Ecology and Systematics.
- Jackson DE, Ratnieks FL (August 2006). "Communication in ants."
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