Discusses the use for research of problems of multicriteria synthesis of dynamic system method of planned LP search, which not only allows on the basis of the simulation model experiments to revise the parameter space within specified ranges of their change, but also through special randomized nature of the planning of these experiments to apply a quantitative statistical evaluation of influence of change in varied parameters and their pairwise combinations to analyze properties of the dynamic system.

Numerical Approach to Solving the Problem of Choosing the Rational Values of Parameters of Dynamic Systems

The method of the planned computational experiment is proposed, which allows not only to reduce the volume of information obtained by modeling, but also to interpret the results of the computational experiment The article shows the algorithmic possibilities of using the Sobol sequences (LP sequences) when constructing matrices of planned experiments for carrying out computational experiments It is shown that with a small number of computational experiments it is possible to take into account the exact values of the boundaries of the variation intervals or to approach them from the inside as well as from the outside if necessary New matrices of planned experiments are formed using vector shift translators calculated without regard to the above requirements It is important that statistical estimates of the first and second moments of the new and old planned experiment matrices have remained practically unchanged

Algorithmization of Computational Experiment Planning Based on Sobol Sequences in the Tasks of Dynamic Systems Research

Humanitarian Interventions in the Light of the Principles of Peaceful Coexistence of States

an unsuitable representation will make the task of mining classification rules very hard for a traditional evolutionary algorithm (EA). But for a given dataset, it is difficult to decide which one is the best representation used in the mining progress. In this paper, we analyses the effects of different representations for a traditional EA and proposed a growing evolutionary algorithm which was robust for mining classification rules in different datasets. Experiments showed that the proposed algorithm is effective in dealing with problems of deception, linkage, epistasis and multimodality in the mining task.

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Zhanmin Wang

Papers

A Growing Evolutionary Algorithm and Its Application for Data Mining