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An Efficient Shuffled Frog Leaping Algorithm for Clustering of Gene Expression Data

Published on November 2014 by Athul Jose, M Pandi
journal_cover_thumbnail

International Conference on Innovations in Information, Embedded and Communication Systems
Foundation of Computer Science USA
ICIIECS - Number 1
November 2014
Authors: Athul Jose, M Pandi
57b43b9b-aaf1-4531-bdc4-a53cb8f7dc55

Athul Jose, M Pandi . An Efficient Shuffled Frog Leaping Algorithm for Clustering of Gene Expression Data. International Conference on Innovations in Information, Embedded and Communication Systems. ICIIECS, 1 (November 2014), 18-23.

@article{
author = { Athul Jose, M Pandi },
title = { An Efficient Shuffled Frog Leaping Algorithm for Clustering of Gene Expression Data },
journal = { International Conference on Innovations in Information, Embedded and Communication Systems },
issue_date = { November 2014 },
volume = { ICIIECS },
number = { 1 },
month = { November },
year = { 2014 },
issn = 0975-8887,
pages = { 18-23 },
numpages = 6,
url = { /proceedings/iciiecs/number1/18649-1432/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Innovations in Information, Embedded and Communication Systems
%A Athul Jose
%A M Pandi
%T An Efficient Shuffled Frog Leaping Algorithm for Clustering of Gene Expression Data
%J International Conference on Innovations in Information, Embedded and Communication Systems
%@ 0975-8887
%V ICIIECS
%N 1
%P 18-23
%D 2014
%I International Journal of Computer Applications
Abstract

Shuffled frog-leaping algorithm is an evolutionary algorithm, which uses a stochastic search method that mimics natural biological evolution and the social deeds of species. These evolutionary algorithms are developed to find a new optimum solution for optimization problems that cannot be solved by gradient based mathematical methods. The generation of frog leaping algorithm is drawn from two other search techniques: the local search of the particle swarm optimizationand the competitiveness mixing of information of the shuffled complex evolution technique. This paper then introduces a new parameter for acceleration of searching into the formulation of the original shuffled frog leaping algorithm to create a modified form of the algorithm for effective clustering of gene expression data.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Memeplexes evolutionary Algorithms shuffling Memetic Evolution Swarm.