The article deals with the formulation and proposed approaches to the problem solving of the energy sector impact on the geoecology of region. The work is carried out within the framework of the International Project jointly with the researchers of Belarus and Armenia with the support of the EAPI-RFFI funds. The article mainly deals with issues related to the implementation of the information and technological part of the Russian project. The urgency, goal and tasks of the project, proposed methods and approaches for the problem solving are determined. The ontology of the impact of energy sector on the environment and the ontology of pollutants from heat power facilities are given. It’s shown the architecture of the Web-based information system (WIS), which will be the final result of the project.

In connection with the large and constantly increasing number of population-based algorithms (P-algorithms) for global optimization, the problem of systematizing their expressive means is topical. We consider one of the components of this problem - the problem of ordering the evolutionary operators of P-algorithms. We present the formulation of the global optimization problem and the general scheme of the P-algorithms for its solution. We consider the following main evolutionary operators: initialization of the population and the end of the search; coding of individuals; randomization; selection; crossing; control population; local search. We reveal the essence of these operators and give variants of use in various P-algorithms.

The feature selection is an NP-hard problem, it is guaranteed the optimal solution can be found only by a full search. In the article, we describe the approach to feature selection based on ranking and cross-validation. For the formation of optimal feature sets, binary meta-heuristic algorithms are used: gravitational search algorithm, weed algorithm, monkey algorithm and krill herd algorithm.

The formal theory of choice developed by abstracting from the subjective factors. This led to the creation of a normative theory of decision making "perfect" the subject, but the logic of the problem of selection has led to the need to study how and why in real conditions there is "withdrawal" of the subject from normative rationality. The solution to this problem currently associated with the results obtained in the theory of reflexive games and the theory of information systems management with a will and intelligence. However, despite the abundance of works in this direction, the problem remains acute. The aim of this work is to show that the patterns of departure of the subject from the "ideal" of rational choice to the subjectively rational are connected with the peculiarities of identifying and understanding external conditions and the properties of their interests. External factors associated with the commitments taken by the agent. Internal factors reflect the interests of the subject, induced his needs and ethical system to which he adheres. The result of this work is to proof that the choice of subject is based on perceptions of the situation of choice, which reflect different aspects of understanding the subject and its properties and they form an information structure of ideas, as a lot of possible ideas. Evaluation of satisfaction with the current situation of choice of a subject result in changes to the structure of interests of the subject, and he can choose it. It is shown that the entity in making decisions uses three sets of alternatives: control, structural, and identification. This implies the inclusion in the decision model of the virtual three parties involved in the selection of appropriate alternatives. Rules for the choice of these alternatives, depending on the subject's understanding of the situation and structure their interests are shaped by compromise and the problem of modeling the choice of acquiring the game contents.

The article proves a necessity of ontological and dynamic modeling of the software testing technological process in information systems creation projects. A purpose of modeling is to develop a knowledge base for decision-making support in problem situations, which arise in the course of software development and require collective discussion in conditions of limited resources, including time resources. The research is supported by the RFBR grant № 16-08-00575 "Intelligent methods for multi-criteria diagnosis of complex technical systems and technological processes".

The paper is devoted to the discussion of the aggregated estimation features for production and economic systems by means of logical-mathematical modeling. The technique of expert estimation of quality functioning of such systems on the base of knowledge technologies is considered. The basis is the modeling of the system by means of a set of fuzzy products and the calculation of the aggregated estimation during the fuzzy logical inference with the help of the appropriate expert system. Questions of assignment of degrees of truth to fuzzy productions, assignment of estimates to functional elements, problems of choice of the law of aggregation, questions of need of additional transformations (calibration) of result are discussed. The result of the study is to clarify the methods of logical-axiological estimation for production and economic systems.

heterogeneity" is presented on the base of methodological and philosophical positions. It is proposed to consider information models as a natural tool for describing heterogeneities and operating them in the framework of design and technological informatics. The approach proposed by the authors for studying complex multilevel processes of damage accumulation in structurally inhomogeneous constructions using causal semantic networks and frame descriptions of properties and characteristics of inhomogeneities is described. An example of a generalized scenario model of pressure vessel damage due to structural heterogeneity is given

The paper studies a comprehensive comparative performance evaluation of regional energy supply options, which ranks among relevant open problems of long-term electric power industry forecasting. We demonstrate that it is essential to assess and account for investment risks as uncertainty undergoes a significant growth. To this end we propose to employ stochastic optimization models. The description of such a model is provided. The model calculations prove conclusive of a notable effect the nature of input data uncertainty has on forecasting results.

The increasing development of nonconventional renewable power causes the need for adjustments in structure of power balance models where earlier they haven't been reflected fully, and in forecasting technique of separate balance indicators. Modification of multimethodic models of regional fuel and power balances for medium-term forecasting is described. Difficulties of replenishment the model information bases and possible ways to overcome are discussed. The result of using the model for assessing the sustainability of the planned task for renewables stations input is given.

The paper discusses the development of a concept for the creation of algorithmic support for the optimal control of the parameters of the technological process for the production of an assortment of building materials made of concrete that provides an informed choice of material for the production of high-performance materials in the established conditions of use and operation of building structures

The known matrix mechanisms of integrated assessment and those obtained by the author for complex objects that are considered to be the objects (a group of objects or system), whose properties may be both of numerical (quantitatively measurable object properties) and nonnumerical (qualitatively описываемые object properties) nature, as well as have uncertainty of different degree, shape and sources. A classification system of matrix integrated assessment mechanisms based on uncertainty degree in relation to individual complex objects factors and approaches to the integrated assessment calculation, is proposed. It was demonstrated what integrated assessment mechanisms are to be used with one or another complex object uncertainty.

The penetration of information and telecommunication technologies into industry, agriculture, medicine, education, logistics and other areas of human activity resulted in the emergence of the digital economy. A review of mathematical problems, the role of which has greatly increased over the past decade due to total digitalization, is carried out in this article. In general, we can define two major types of problems - the construction of mathematical models or digital twins of physical objects (both natural and artificial) and the task of processing large amounts of data.

In article mathematical and physical models of universal power semiconductor transformer are considered. Shows the functional diagram of electric transformer. Describes the static and dynamic characteristics of electric universal power semiconductor transformer.

In this work, the hydrodynamic characteristics of broken ice removal system from dock complex (DC) were calculated on the base of computational solving equations methods of viscous fluid dynamics. The feasibility of this system using pump units that intended for filling and Dewatering of the dock ballast compartments.
Fields of stream and tangent stress on the under shelf of the ice floe for variations of flow developers positions were calculated. Allowable wind speed was designed for providing the removal of broken ice from the DC with different trims and different positions of hole for developing of directions flow.