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Publications of Oleinikova Svetlana Aleksandrovna
Electronics and Machinery, 20184

Oleinikova S.A., Tokarev I.I.  Comparative Analysis of Models and Methods for Solving the Problem of Structural Synthesis for Modern Mobile Communication Systems


pp. 4047

DOI: 10.7256/24538884.2018.4.28074
Abstract: The object of the research is the mobile networks. The subject of the research is the algorithms that allow to determine the optimal location of base stations, as well as such equipment capacity that will be enough to serve subscribers with an acceptable level of overloads and other requirements for quality of service. The goal is to design the network in terms of the criterion for minimizing the cost of all network elements, taking into account the expected number of subscribers and traffic. The specificity of the objective function and its arguments, as well as constraints, allows to define the problem under investigation as a conditional optimization problem and apply the tools used in these cases to solve it. As a result, a generalized algorithm for solving problems of structural synthesis for systems whose distinctive feature is the presence of mobile subscribers and base stations that service them by receiving and transmitting a signal is described. A comparative analysis of existing approaches to solving the problem allowed us to formalize the objective function and limitations. The usefulness of the results is the possibility of their use (after the implementation of algorithms for solving the problem) for the design and implementation of modern mobile communication systems.
Software systems and computational methods, 20172

Oleinikova S.A.  A mathematical model of a complex serving system with stochastic parameters and mutual dependency between the jobs.


pp. 3244

DOI: 10.7256/24540714.2017.2.22457
Abstract: The object of research in the work involves the complex service systems, which are characterized by mutual dependence between the works, their random duration and necessity of rationalize recourses in time. These features stipulate the development of a mathematical model which is meant to form the basis for the optimization task of forming a schedule. As the objective function, a generalized criterion that allows the most efficient allocation of resources over time is chosen. An important parameter of this model is the duration of the service. The assessment of this parameter is an important task, since it directly affects the accuracy of the developed schedule.The formation of a mathematical model is based on the apparatus of probability theory and the theory of project management. To find the duration of the service a cubic equation connecting the variance, the expectation and the mode of the cubic equation was obtained. As a result a mathematical model a mathematical model designed for describing multistage servicing systems with a stochastic duration of maintenance of mutually dependent works was found by the authors. This model may be used to describe a whole class of systems with the above features in the case where it is necessary to efficiently allocate resources over time. Novelty is present in the use of a generalized resource criterion in conjunction with resource and time constraints. The author also finds an evaluation of service time, which is distinguished by increased accuracy in comparison with existing analogues.
Transportation Herald, 20171

Oleinikova S.A., Romashchenko D.A.  Multiagent approach towards resolution of the task on optimization of freight transports


pp. 3948

DOI: 10.7256/24538906.2017.1.20021
Abstract: This article examines the task on optimization of the process of freight transports from the perspective of maximization of the profit. The object of this research is the material and corresponding to them financial flows emerging in delivering of the incoming orders. The subject of this research is the coordination of actions on managing the process of selection of an order by transportation means in large volume transports. The goal of the work consists in formulation of the approach, which allows optimizing the process of freight transports considering the current status and load of the transport from the perspective of maximization of the gained profit. The authors suggest a multiagent approach as a method of solution of the set task. Each of the intellectual agents of the system resolves the task of purposefulness of receiving the order based on the assigned by it transportation means. As a result, the authors propose a mathematical model of the system, which takes into account the current status of transportation means, their capacity, and the ability of execution of the same order by multiple transports. The scientific novelty consists in development of the structure of multiagent system with clarification of the key functions of the agents alongside the description of specificity of their interaction.
Cybernetics and programming, 20156

Oleinikova S.A.  Approximation of the distribution law of the sum of beta distributed random variables


pp. 3554

DOI: 10.7256/23064196.2015.6.17225
Abstract: The subject of the research in this paper is the probability density function (PDF) of the random variable, which is the sum of a finite number of beta values. This law is widespread in the theory of probability and mathematical statistics, because using it can be described by a sufficiently large number of random events, if the value of the corresponding continuous random variable concentrated in a certain range. Since the required sum of beta values can not be expressed by any of the known laws, there is the problem of estimating its density distribution. The aim is to find such approximation for the PDF of the sum of betavalues that would have the least error. To achieve this goal computational experiment was conducted, in which for a given number of beta values the numerical value of the PDF with the approximation of the desired density were compared. As the approximations it were used the normal and the beta distributions. As a conclusion of the experimental analysis the results, indicating the appropriateness the approximation of the desired law with the help of the beta distribution, were obtained. As one of the fields of application of the results the project management problem with the random durations of works is considered. Here, the key issue is the evaluation of project implementation time, which, because of the specific subject area, can be described by the sum of the beta values.
Software systems and computational methods, 20154

Oleinikova S.A.  Numerical methods of optimization of project planning with the presence of the time and resource constraints and the generalized resource criteria



DOI: 10.7256/24540714.2015.4.17573
Abstract: The objects of the research are the complex service systems, the distinctive feature of which is the stochastic duration of the servicing of the complex of mutually dependent works that define the project. The aim of the work is to develop a schedule of service requests taking into account restrictions on the time of service and on the amount of resources. As an optimization criterion a generalized resource criterion is selected. This criterion allows describing such modes as uniform system load, maximum load, etc depending on the preferences of the user. Methods of building the schedule are based on the numerical algorithms, which are formed with the help of heuristics. This heuristics are determined by the analysis of the existing approaches and specific objectives of the study. As a result the study proposes a complex of numerical methods that constitute the basis of the software for building the schedule service applications. The novelty of the study consists in the application of heuristics that provide a suboptimal schedule in a reasonable time. As one of the applications of the results the article shows the optimization of functioning of the wagon repairing production.
Software systems and computational methods, 20151

Oleinikova S.A.  Recursive numerical method for the experimental evaluation of the distribution law of the duration of the project in network planning and management tasks



DOI: 10.7256/24540714.2015.1.14674
Abstract: In this paper a problem of network planning and management with a random duration of individual operations is considered. The subject of the study is the law of distribution of the random variable which describes duration of the project. The aim is to estimate such law. The urgency of this problem is related to the need to improve the accuracy of the known existing assessments which do not take into account the specifics of the distribution law of separate works determining the project. The main difficulty of the practical solution of this problem is the need to calculate the multiple definite integral, wherein the number of individual integrals not known in advance and determined by the number of works that make up the critical path of the project. As a result, the numerical method based on recursion is proposed, which allows to numerically estimate the desired distribution law. Scientific novelty of the results is in obtaining estimates of the distribution law of the duration of the project that improves positional accuracy over the existing analogues. Without loss of generality developed a recursive algorithm can be used for a wide class of problems in which the unknown distribution of the sum of random variables with known distributions of the individual terms.
