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Survey Paper on Swarm Intelligence

by S.keerthi, Ashwini K, Vijaykumar M.v
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 5
Year of Publication: 2015
Authors: S.keerthi, Ashwini K, Vijaykumar M.v
10.5120/20145-2273

S.keerthi, Ashwini K, Vijaykumar M.v . Survey Paper on Swarm Intelligence. International Journal of Computer Applications. 115, 5 ( April 2015), 8-12. DOI=10.5120/20145-2273

@article{ 10.5120/20145-2273,
author = { S.keerthi, Ashwini K, Vijaykumar M.v },
title = { Survey Paper on Swarm Intelligence },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 5 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 8-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number5/20145-2273/ },
doi = { 10.5120/20145-2273 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:54:17.611467+05:30
%A S.keerthi
%A Ashwini K
%A Vijaykumar M.v
%T Survey Paper on Swarm Intelligence
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 5
%P 8-12
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we are discussing regarding the Swarm Intelligence and there some of the examples. Anything in group is said to a swarm. Intelligent behaviour from a large number of Simple Individuals is called as Swarm Intelligence. It is a collective Behaviour from the local interactions of the individuals with the each other. Individual co-ordinate from the decentralized control and self-organization. We can find swarm in colonies of ants, school of fishes, flocks of birds etc. In this paper we are seeing the examples of Swarm and their behaviour. we also see the various Swarm Intelligence models such as the Ant colony Optimization where is describes about the movement of ants, their behaviour, and how do it overcome the obstacles, in birds we see about the Particle swarm optimization it is based on the swarm intelligence and how the positions has to be placed based on the three principles. Next is the Bee colony optimization that deals with the behaviour of the bees, their interactions, also describes about the Movement and how they work in Swarm. Some of the techniques and algorithms are discussed in this paper.

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Index Terms

Computer Science
Information Sciences

Keywords

Swarm Swarm Intelligence Stigmergy Pheromone