Referenced Items are not available for this document.
Swarm intelligence inspired by the social behavior of ants boasts a number of attractive features, including adaptation, robustness, decentralized and self-organizing nature, which are well suited for routing in modern communication networks. This paper describes a new adaptive dynamic routing algorithm for packet-switched communications networks based on simple biological “ants” that explore the network and learn good routes, using a novel variation of reinforcement learning. Simulation results confirm that the algorithm is shown to significantly improve the network's relaxation and its response to perturbations.
Published in:
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Date of Conference: 6-8 July 2012
- Page(s):
- 47 - 50
- Print ISBN:
- 978-1-4673-1397-1
- INSPEC Accession Number:
- 13166676
- Conference Location :
- Beijing
- Digital Object Identifier :
- 10.1109/WCICA.2012.6357837
- Product Type:
- Conference Publications
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