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dc.contributor.authorNanda, P K-
dc.contributor.authorMuni, D P-
dc.contributor.authorKanungo, P-
dc.identifier.citationProceedings of AFSS International Conference on Fuzzy Systems, Februrary 3-6, 2002, Calcutta, Indiaen
dc.descriptionCopyright for this article belongs to Springeren
dc.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
dc.format.extent550661 bytes-
dc.titleParallelized Crowding Scheme Using a New Interconnection Modelen
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