The purpose of the proposed article is to study the probabilistic approach to political forecasts, obtained from experts' survey. The article describes expert information collection characteristic features, in particular, the networking: for obtaining probabilistic estimates of specialists. Especially the paper considers the different ways of interpreting these estimates. The author concludes that not only forecasting methods play an essential role in scientific forecast, (although obtained estimates values depend on the correctly chosen data and information collecting professional method), but also the obtained prognostic probabilities interpretation.

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With the growing car population in big cities, the problem of its keeping in conditions of a compact urban area has happened. The organisation of parking space in a different way has resolved this issue. Underground parking was in demand in many countries even in the XX century. By the way, they are becoming more and more popular now. The design of car parking is based on legal documents, which regulate the size of car parking seats and the width of the passage inside the garage. It is expedient to use evolutionary algorithms as one of the tools of algorithmic modelling for automation of design the car parking lots and for identifying the most effective and profitable way of the car parking space planning. So, the process of looking for the most optimal solution in underground car parking designing.