Research Article
Article:Data Clustering using almost parameter free Differential Evolution technique
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 8 - Issue 13 |
| Published: October 2010 |
| Authors: Sai Hanuman A, Dr Vinaya Babu A, Dr Govardhan A, Dr S C Satapathy |
10.5120/1310-1811
|
Sai Hanuman A, Dr Vinaya Babu A, Dr Govardhan A, Dr S C Satapathy . Article:Data Clustering using almost parameter free Differential Evolution technique. International Journal of Computer Applications. 8, 13 (October 2010), 1-7. DOI=10.5120/1310-1811
@article{ 10.5120/1310-1811,
author = { Sai Hanuman A,Dr Vinaya Babu A,Dr Govardhan A,Dr S C Satapathy },
title = { Article:Data Clustering using almost parameter free Differential Evolution technique },
journal = { International Journal of Computer Applications },
year = { 2010 },
volume = { 8 },
number = { 13 },
pages = { 1-7 },
doi = { 10.5120/1310-1811 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%A Sai Hanuman A
%A Dr Vinaya Babu A
%A Dr Govardhan A
%A Dr S C Satapathy
%T Article:Data Clustering using almost parameter free Differential Evolution technique%T
%J International Journal of Computer Applications
%V 8
%N 13
%P 1-7
%R 10.5120/1310-1811
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The paper presents a comparative analysis of data clustering by Particle swarm optimization (PSO) and differential evolution (DE) techniques. It is clearly reveled from the simulation results that almost parameter free optimization technique such as Differential evolution could provide better performance compared to PSO where in many parameters are to be tuned. To exhibit the numerical optimizing capability of DE we have demonstrated the capability of this by optimizing few benchmark functions.
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