Swarm Intelligence Algorithms and its Types

Authors

  • Anto Ramya S. I.
  • Mageswari N.

Keywords:

Ant based Control Algorithm, AntNet algorithm, Ant Colony based Routing Algorithm, Mobile Ant based Routing, Termite, Mobile Ad Hoc Networks, and Swarm Intelligence

Abstract

Mobile ad hoc networking is a means of communication that does not rely on any available infrastructure such as committed routers, transceiver base stations or even cables. MANETs have been a demanding subject for research scientists and internet forge. A MANET is a type of ad hoc network that can adapt to locations and organize itself on the fly. Swarm intelligence (SI) is a division that is inspired by natural and artificial system. It is a study of natural happening and individual’s behavior in decentralized environment. Swarm intelligence routing provides a hopeful alternative to these approaches. A new class of algorithms is being developed inspired by swarm intelligence that can resolve several problems of modern communication networks. Such algorithms depend on the interaction of a multitude of simultaneously interacting agents. Few such algorithms are Ant based Control Algorithm, AntNet algorithm, Ant Colony based Routing Algorithm, Mobile Ant based Routing and Termite. These algorithms differ based on the applications used. This paper presents a survey of such algorithms.

References

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How to Cite

Ramya S. I., A., & N., M. (2017). Swarm Intelligence Algorithms and its Types. Asian Journal of Applied Sciences, 5(1). Retrieved from https://ajouronline.com/index.php/AJAS/article/view/4638

Issue

Vol. 5 No. 1 (2017): February 2017

Section

Articles

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