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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/371

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contributor.authorNanda, P K-
contributor.authorMuni, D P-
contributor.authorKanungo, P-
date.accessioned2006-12-01T03:52:08Z-
date.available2006-12-01T03:52:08Z-
date.issued2002-
identifier.citationProceedings of AFSS International Conference on Fuzzy Systems, Februrary 3-6, 2002, Calcutta, Indiaen
identifier.urihttp://hdl.handle.net/2080/371-
descriptionCopyright for this article belongs to Springeren
description.abstractIn this article, a new interconnection model is proposed for Parallel Genetic Algorithm based crowding scheme. The crowding scheme is employed to maintain stable subpopulations at niches of a multi modal nonlinear function. The computational burden is greatly reduced by parallelizing the scheme based on the notion of coarse grained parallelization. The proposed interconnection model with a new crossover operator known as Generalized Crossover (GC) was found to maintain stable subpopulation for different classes and its performance was superior to that of the with two point crossover operators. Convergence properties of the algorithm is established and simulation results are presented to demonstrate the efficacy of the schemeen
format.extent550661 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherSpringeren
titleParallelized Crowding Scheme Using a New Interconnection Modelen
typeArticleen
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