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Volume & Issue no: Volume 3, Issue 6, June 2014

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Title:
An Efficient Hybrid Clustering based on Genetic and Particle Swarm Optimization Algorithms
Author Name:
G. Malini Devi, M.Rekhasree and M. Seetha
Abstract:
Abstract This paper focuses on two very similar evolutionary algorithms those are Genetic algorithm (GA), particle swarm optimization (PSO). The genetic algorithm which is widely used in data mining technology was proposed,, PSO is more used to solve the optimization problems.. This paper first gives a brief introduction to these two EA techniques to highlight the common computational procedures. To make advantage of both PSO and GA, we combined the both algorithms, i.e. the output obtained by clustering the data sets with Genetic Algorithms is given as input to the PSO. Thereby, efficient results are obtained. And also we implement other algorithm i.e Hierarchical Clustering algorithms. The general observations on the similarities and differences among the three algorithms based on computational steps are discussed. Keywords: Genetic Algorithm, Particle Swarm Optimization, Hybrid Clustering
Cite this article:
G. Malini Devi, M.Rekhasree and M. Seetha , " An Efficient Hybrid Clustering based on Genetic and Particle Swarm Optimization Algorithms" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 6, June 2014 , pp. 122-128 , ISSN 2319 - 4847.
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