Distributed Genetic Algorithm for Finding Fuzzy Rational Approximators

P
PARELEC
2004
International Conference on Parallel Computing in Electrical Engineering, (PARELEC'04)
Abstract - Distributed Genetic Algorithm for Finding Fuzzy Rational Approximators

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International Conference on Parallel Computing in Electrical Engineering, (PARELEC'04)

Dresden, Germany

September 07-September 10

ISBN: 0-7695-2080-4

	ASCII Text	x
	Octav Brudaru, Octavian Buzatu, "Distributed Genetic Algorithm for Finding Fuzzy Rational Approximators," Parallel Computing in Electrical Engineering, International Conference on, pp. 394-397, International Conference on Parallel Computing in Electrical Engineering, (PARELEC'04), 2004.

	BibTex	x
	@article{ 10.1109/PCEE.2004.27, author = {Octav Brudaru and Octavian Buzatu}, title = {Distributed Genetic Algorithm for Finding Fuzzy Rational Approximators}, journal ={Parallel Computing in Electrical Engineering, International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2080-4}, pages = {394-397}, doi = {http://doi.ieeecomputersociety.org/10.1109/PCEE.2004.27}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Parallel Computing in Electrical Engineering, International Conference on TI - Distributed Genetic Algorithm for Finding Fuzzy Rational Approximators SN - 0-7695-2080-4 SP394 EP397 A1 - Octav Brudaru, A1 - Octavian Buzatu, PY - 2004 KW - null VL - 0 JA - Parallel Computing in Electrical Engineering, International Conference on ER -

Octav Brudaru, Technical University "Gh. Asachi" Iasi, Romania

Octavian Buzatu, Institute of Theoretical Computer Science, Romania

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PCEE.2004.27

This paper deals with the finding of a fuzzy rational function that best fits on a given set of input-output patterns of an unknown fuzzy dependency. In order to solve this problem a distributed genetic algorithm based on the island model is presented. Experimental investigations for evaluating the performance of the proposed distributed algorithm are also described.

Citation:

Octav Brudaru, Octavian Buzatu, "Distributed Genetic Algorithm for Finding Fuzzy Rational Approximators," parelec, pp.394-397, International Conference on Parallel Computing in Electrical Engineering, (PARELEC'04), 2004

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