A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org
Call for Paper, Published Articles, Indexing Infromation
International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org
Call for Paper, Published Articles, Indexing Infromation
Title: |
A Review on Nature Inspired Algorithms for Clustering
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Author Name: |
Radha A. Pimpale, P.K. Butey |
Abstract: |
Abstract
In this paper we are proposed most suitable Nature inspired
algorithms for clustering. Nature inspired algorithms like
cuckoo search, firefly algorithms, Bat algorithms and wolf
algorithms are metaheuristic, multiobjective, stochastic
algorithms overcome the decencies of traditional clustering
algorithms, nature inspired algorithms have get global
optima. These algorithms are suitable for the random search,
using this can find new solution space for the global optimum.
These algorithms are iterative in nature. This paper presents
a complete review of given nature inspired algorithms suitable
for clustering. Parameter like Convergence, speed, accuracy
may be considered. These algorithms help us to adapt
environment always and mutual cooperation, which give us
many new ideas for solving complex problems.
Key words:- cuckoo, firefly, bat and wolf algorithms. |
Cite this article: |
Radha A. Pimpale, P.K. Butey , "
A Review on Nature Inspired Algorithms for Clustering " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS),
Volume 4, Issue 1, January - February 2015 , pp.
058-062 , ISSN 2278-6856.
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