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Swarm Intelligence and Flocking Behavior

Published on August 2015 by Himani, Ashish Girdhar
journal_cover_thumbnail

International Conference on Advancements in Engineering and Technology
Foundation of Computer Science USA
ICAET2015 - Number 10
August 2015
Authors: Himani, Ashish Girdhar
805605e2-039d-4bb0-9839-91bad0557a2d

Himani, Ashish Girdhar . Swarm Intelligence and Flocking Behavior. International Conference on Advancements in Engineering and Technology. ICAET2015, 10 (August 2015), 9-12.

@article{
author = { Himani, Ashish Girdhar },
title = { Swarm Intelligence and Flocking Behavior },
journal = { International Conference on Advancements in Engineering and Technology },
issue_date = { August 2015 },
volume = { ICAET2015 },
number = { 10 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 9-12 },
numpages = 4,
url = { /proceedings/icaet2015/number10/22276-4146/ },
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 Himani
%A Ashish Girdhar
%T Swarm Intelligence and Flocking Behavior
%J International Conference on Advancements in Engineering and Technology
%@ 0975-8887
%V ICAET2015
%N 10
%P 9-12
%D 2015
%I International Journal of Computer Applications
Abstract

Swarm behavior suggests simple methodologies used by agents of swarm to solve complex problems, which using the other optimsation algorithms such as Genetic Algorithms may not be possible to solve. The basic reason behind this is the group behavior in these algorithms. The distributed control mechanism and simple interactive rules can manage the swarm efficiently and effectively. Flocking behavior does not involve central coordination. This paper aims at the review of the Swarm Intelligence algorithms developed so far and its association with flocking model.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Swarm Intelligence Agents Aco Abc Flocking Pso.