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Reseach Article

Article:Data Clustering using almost parameter free Differential Evolution technique

by Sai Hanuman A, Dr Vinaya Babu A, Dr Govardhan A, Dr S C Satapathy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 8 - Number 13
Year of Publication: 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 },
issue_date = { October 2010 },
volume = { 8 },
number = { 13 },
month = { October },
year = { 2010 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume8/number13/1310-1811/ },
doi = { 10.5120/1310-1811 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:57:15.259667+05:30
%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
%J International Journal of Computer Applications
%@ 0975-8887
%V 8
%N 13
%P 1-7
%D 2010
%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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Index Terms

Computer Science
Information Sciences

Keywords

Data Clustering PSO Differential evolution Function Optimization