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Titlebook: Artificial Intelligence and Soft Computing; 12th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings

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Using Topology Preservation Measures for Multidimensional Intelligent Data Analysis in the Reduced Fmultidimensional datasets, with topology preservation measures. This approach is based on an observation that not all elements of an initial dataset are equally preserved in its low-dimensional embedding space representation. The contribution first overviews existing topology preservation measures,
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HRoBi – The Algorithm for Hierarchical Rough Biclustering pair of its lower and upper approximation. Notions of lower and upper bicluster approximation are derived from the Pawlak rough sets theory. Every considered discrete value in the data can be covered with more than one rough bicluster. The presented algorithm is hierarchical, so the number of biclu
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Die Berechnung des Gegenstandswerteseriod and fixed values of unit costs of the server’s functioning an optimal set of system parameters is found for exponentially distributed vacation period and 2-Erlang distribution of inter arrival times. The problem of optimization is solved using genetic algorithm. Different variants of the load of the system are considered as well.
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Die Regelgebühren in gerichtlichen Verfahrenon is a very efficient method for unconstrained optimization problems. Thus, one can expect a high efficiency of using them together. The filter is based on the idea of multi-criteria optimization. Numerical results for typical benchmark problems are provided. The efficiency of the proposed method ocureed satisfactory.
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Aufbau und Aufgaben der Gerichtsbarkei temperature or maximization of the total dissipated heat flux with respect to specific dimensions of a structure. The direct problem is computed by means of the finite element method. Numerical examples for shape optimization are also included.
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Genetic Cost Optimization of the ,/,/1/, Finite-Buffer Queue with a Single Vacation Policyeriod and fixed values of unit costs of the server’s functioning an optimal set of system parameters is found for exponentially distributed vacation period and 2-Erlang distribution of inter arrival times. The problem of optimization is solved using genetic algorithm. Different variants of the load of the system are considered as well.
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