Abstract: In the current paper the Generalized Enterprise Function Framework for managing augmented and actionable knowledge is presented. A novel approach for developing Knowledge Assets is suggested
Abstract: Main features of a new method of expert knowledge elicitation – method of generalized interval estimations – and peculiarities of its using in decision making are presented. Expert estim
Abstract: Generalized scalarizing problems, called GENS and GENSLex, for obtaining Pareto optimal solutions
of multicriteria optimization problems are presented in the paper. The basic properties o
Abstract: Special generalizing for the artificial neural nets: so called RFT – FN – is under discussion in the report.
Such refinement touch upon the constituent elements for the conception of ar
Abstract: Composition problem is considered for partition constrained vertex subsets of n dimensional unit cube
En . Generating numerical characteristics of En subsets partitions is considered by mea
Abstract: In this article we discuss a possibility to use genetic algorithms in cryptanalysis. We developed and
described the genetic algorithm for finding the secret key of a block permutation ciphe
Abstract: - An approach for the problem of building such tools of e-learning system that gives the user a chance
to get the desired knowledge of teaching course in a user adaptable manner is suggeste
Abstract: The image analysis of two-dimensional electrophoresis images is a difficult task were authors were not able to find any other work in the literature handling with evolutionary computation in
Abstract: Classification and feature selection techniques are among the most commonly used mathematical
approaches for analysis and interpretation of biological data. One of the important characteris
Abstract: We consider problems to classify data represented as discrete probability distributions. For the classification
we propose the Voronoi partition technique with respect to -divergence, which
Abstract: Ant Colony Optimization (ACO) is a computer emergence model to solve problems by swarm
intelligence. The aim of this paper is to provide ant colonies with a global memory structure (GMS) so
Abstract: Ant Colony Optimization (ACO) is a computer emergence model to solve problems by swarm
intelligence. The aim of this paper is to provide ant colonies with a global memory structure (GMS) so
Abstract: Further progress in AI research requires more complete and comprehensive study of information interactions in nature, not confined to psyche and intellect of individuals. One should not igno
Abstract: Starting from the seminal work in 1980s to more recent findings, literature review suggests
grammatical priming to be an elusive fenomenon, reliably obtained mostly in a lexical decision ta
Abstract: This paper highlights the challenges of satellite monitoring systems integration, in particular based on
Grid platform, and reviews possible solutions for these problems. We describe integr