Titlebook: Kurzkommentar zum ABGB; Allgemeines bürgerli Peter Apathy (Univ.-Prof.),Raimund Bollenberger (U Book 2007Latest edition Springer-Verlag Vie

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Bernhard Ecchernce pump, which supplies some power to the swarm system to explore new neighborhoods for better solutions. The algorithm also avoids clustering of particles and at the same time attempts to maintain diversity of population. We attempt to theoretically analyze that the algorithm converges with a prob

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Bernhard Eccherst, an analysis of the dynamics of reproduction operator in BFOA is also discussed. The chapter discusses the hybridization of BFOA with other optimization techniques and also provides an account of most of the significant applications of BFOA until date.

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Bernhard Eccherrees, either induced directly from datasets, or extracted from neural network ensembles. The experimentation, using 22 UCI datasets, shows that the suggested post-processing technique results in higher test set accuracies on a large majority of the datasets. As a matter of fact, the increase in test

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Bernhard A. Kochfor clustering, which has shown to be more computationally efficient than systematic (i.e., repetitive) approaches when the number of clusters in a data set is unknown. Illustrative experiments showing the influence of local optimization on the efficiency of the evolutionary search are also presente

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Peter Apathyfor clustering, which has shown to be more computationally efficient than systematic (i.e., repetitive) approaches when the number of clusters in a data set is unknown. Illustrative experiments showing the influence of local optimization on the efficiency of the evolutionary search are also presente

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Peter Apathyfor clustering, which has shown to be more computationally efficient than systematic (i.e., repetitive) approaches when the number of clusters in a data set is unknown. Illustrative experiments showing the influence of local optimization on the efficiency of the evolutionary search are also presente

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