CFP last date
20 May 2024
Reseach Article

Swarm Intelligence (Si)-Paradigm of Artificial Intelligence (Ai)

Published on August 2015 by Pooja, Renu Nagpal
International Conference on Advancements in Engineering and Technology
Foundation of Computer Science USA
ICAET2015 - Number 6
August 2015
Authors: Pooja, Renu Nagpal
628f99b7-b7d8-4eda-9b51-9d3b8c2a066f

Pooja, Renu Nagpal . Swarm Intelligence (Si)-Paradigm of Artificial Intelligence (Ai). International Conference on Advancements in Engineering and Technology. ICAET2015, 6 (August 2015), 26-28.

@article{
author = { Pooja, Renu Nagpal },
title = { Swarm Intelligence (Si)-Paradigm of Artificial Intelligence (Ai) },
journal = { International Conference on Advancements in Engineering and Technology },
issue_date = { August 2015 },
volume = { ICAET2015 },
number = { 6 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 26-28 },
numpages = 3,
url = { /proceedings/icaet2015/number6/22247-4083/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology
%A Pooja
%A Renu Nagpal
%T Swarm Intelligence (Si)-Paradigm of Artificial Intelligence (Ai)
%J International Conference on Advancements in Engineering and Technology
%@ 0975-8887
%V ICAET2015
%N 6
%P 26-28
%D 2015
%I International Journal of Computer Applications
Abstract

This paper gives you the overview of the subfield of artificial intelligence which is called as "SWARM INTELLIGENCE". This is so called because it is named after the inspiration taken from the working behavior of the swarms. The term "swarm" denotes the group or aggregation of insects or animals or birds which works together so as to complete the difficult tasks in an efficient manner which are not possible to be completed as an individual entity. This working behavior of swarms has influenced the researchers to solve their problems in robotics, telecommunications, computer science, networking and various other technical fields. Apart from it, algorithms have been proposed to solve various complex problems which are having resemblance to swarm intelligence, in their working behavior. In this paper, a brief description of the working of these algorithms is given.

References
  1. Dr. Ajay Jangra, Adima Awasthi, Vandhana Bhatia, "A Study on Swarm Artificial Intelligence" volume 3 , issue 8, August 2013.
  2. Riya Marry Thomas, "Survey of Bacterial Foraging Opmization Algorithm" International Journal of science and modern engineering( IJISME), ISSN: 2319-6386, Volume-1, Issue-4, March 2013.
  3. ALEKSANDAR JEVTIC , DIEGO ANDINA, " Swarm Intelligence and Its Applications in Swarm Robotics" ,6th WSEAS Int. Conference on Computational Intelligence, Man-Machine Systems and Cybernetics , Tenerife , Spain , December 14-16, 2007.
  4. Gainni Di Caro, Frederick Ducatelle and Luca Maria Gambardella,"SWARM INTELLIGENCE FOR ROUTING IN MOBILE AD HOC NETWORKS" , Instituto Dalle Molle di Studi sull'Intelligenza Artificiale(IDSIA) Galleria2, CH-6928 Manno-Lugano, Switzerland.
  5. Xiaohui Hu, Yuhui Shi , Russ Eberhart ,"Recent Advances in Particle Swarm".
  6. I. Kassabalidis*, M. A. El-Sharkawi* ,R. J. Marks II*, P. Arabshahi, A. A. Gray, "Swarm Inteeligence for Routing in Communication Networks", dept. of Electrical Eng. Box 352500, University of Washington Seattle, WA98195 USA.
  7. Payman Arabshahi, Andrew Gray,Ioannis Kassabalidis, Arindham Das, "Adaptive Routing in Wireless Communication Networks using Swarm Intelligence".
  8. Dervis KARABOGA , "AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION" , Technical Report-TR06, OCTOBER-2005.
  9. Rajani Muraleedharan and Lisa Ann Osadciw, "Sensor Communication Network using Swarm Intelligence", Department of electrical engineering and computer science.
  10. Rajeshwar Singh*, D. K. Singh* and Lalan Kumar, "Swarm intelligence based for routing in Mobile Ad-Hoc networks", Department of electronic and communictions engineering, BRCM college of engineering and technology.
Index Terms

Computer Science
Information Sciences

Keywords

Swarm Swarm Intelligence Stigmergy Pheromone Paradigm