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Hybrid Rough Sets and Particle Swarm Optimization Application in Data Mining

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 89 - Number 10
Year of Publication: 2014
Authors:
D. S. Morshedy
W. A. Awad
M. M. Genidy
10.5120/15670-4243

D.s.morshedy, W.a.awad and M.m.genidy. Article: Hybrid Rough Sets and Particle Swarm Optimization Application in Data Mining. International Journal of Computer Applications 89(10):29-33, March 2014. Full text available. BibTeX

@article{key:article,
	author = {D.s.morshedy and W.a.awad and M.m.genidy},
	title = {Article: Hybrid Rough Sets and Particle Swarm Optimization Application in Data Mining},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {89},
	number = {10},
	pages = {29-33},
	month = {March},
	note = {Full text available}
}

Abstract

Optimization becomes a very important methodology appear in scientific life. It can be applied in many different application fields, like telecommunications, data mining, design, combinatorial optimization, power systems and Electronic circuits. Development of electronic circuit is a complex process that needs some simplification that may be difficult to be done using traditional way. In This paper a hybrid rough particle swarm optimization (HRSO) algorithm is proposed for electronic circuit simplification. The (HRSO) is applied to simplify circuit by reducing the components of circuit to try to find optimal value of circuit components.

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