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• THE MODULE FOR PREDICTING CONVERTER PARAMETERS BASED ON SPECIFIED AMPLITUDE-FREQUENCY CHARACTERISTICS

  V.I. Shlaev

  93-103

  2025-11-10

  Abstract ▼

  The article discusses the solution of the problem of developing converters based on specified amplitude-frequency characteristics. The main problem is to carry out a large number of measuring measures with changes in the parameters of the transducers to achieve the necessary amplitude-frequency characteristics, which leads to high time and resource costs for development. The analysis of the main parameters of the converters affecting the specified amplitude-frequency characteristics is carried out. The existing approaches, methods and algorithms for creating converters of the required characteristics are analyzed. The development of a module for predicting the parameters of electromechanical converters based on specified amplitude-frequency characteristics is described. The research objectives include the creation of structural-parametric and mathematical models for calculating the characteristics of converters at the design stage. An algorithm for training a model based on experimental data obtained during measurements is described. The use of machine learning methods to predict parameters minimizes the number of experiments performed and reduces the cost of developing converters. The proposed approach is based on the use of the relationship between the design parameters of the converters and their frequency characteristics. The gradient boosting algorithm is used to increase the accuracy of forecasting. The stages of data preparation for model training are presented. The learning process of the model is described. The results demonstrate a significant reduction in the modeling time of the converters: the use of the module makes it possible to speed up the process several times compared with the experimental approach. Predicting characteristics based on a model provides comparable accuracy with a larger amount of data. The findings of the study confirm the effectiveness of the proposed approach in the development of converters, reducing time and financial costs, increasing the accuracy of modeling and applicability in conditions of limited resources.

• HYBRID METHOD FOR SOLVING THE PROBLEM OF PLACEMENT OF DIGITAL COMPUTER DEVICES

  L. A. Gladkov , N. V. Gladkova , M.J. Yasir

  2021-11-14

  Abstract ▼

  The problem of placing elements of digital computing technology is considered in the article.
  The analysis of the current state of research on this topic is carried out, the relevance of the
  problem under consideration is noted. The importance of developing new effective methods for
  solving such problems are highlighted. The place of the placement problem in the general cycle ofthe design stage is shown. The importance of a high-quality solution to the placement problem
  from the point of view of the successful implementation of subsequent design stages is noted. The
  importance of minimizing connection delays in the design process of large-scale devices is noted.
  A review and analysis of various models and criteria for evaluating the solution to the placement
  problem is carried out. It was emphasized that the most important criterion is the length of the
  joints, it has a significant impact on the technologies used in the design. A complex mathematical
  formulation of the problem of placing elements of digital computing equipment has been completed.
  Perspective approaches to solving design problems are analyzed, hybrid methods and models
  for solving complex multicriteria optimization and design problems are described. The principles
  of operation and the model of a fuzzy logic controller are described. The description of the used
  fuzzy control scheme is given. The functions of various blocks of a fuzzy logic controller are determined.
  The structure of a multilayer neural network that implements the Gaussian function is
  proposed. The interaction of blocks of a fuzzy genetic algorithm is described. A model of a hybrid
  algorithm for solving the placement problem is proposed. The control parameters of the fuzzy
  logic controller are determined. The proposed hybrid algorithm is implemented as an application
  program. A series of computational experiments to determine the effectiveness of the developed
  algorithm and select the optimal values of the control parameters were carried out.

• METAHEURISTIC OPTIMIZATION METHOD BASED ON THE STEM CELL BEHAVIOR MODEL

  Y. V. Danilchenko , V.I. Danilchenko, V.M. Kureichik

  2022-05-26

  Abstract ▼

  The paper discusses optimization methods that are based on processes occurring in nature. Such
  methods have become increasingly used to solve complex problems. However, such methods have some
  drawbacks, which stimulates the development of new and more advanced optimization methods. Solving
  NP complete problems requires optimal methods that will meet all design requirements, so there is a
  need to develop new and more advanced methods for solving this class of problems. As such a method,
  the authors propose an optimization method based on a model of the behavior of stem cells in the natural
  environment. The conducted studies of the proposed method provide solutions that can overcome
  many of the shortcomings of standard optimization approaches, such as getting into the local optimum
  or low convergence rate of the algorithm based on the method under consideration. The purpose of this
  work is to develop an optimization method and an algorithm based on it for solving a complex objective
  function. The scientific novelty lies in the development of an optimization method based on the stem cell
  behavior model for solving NP complete problems. The aim of the work is to create conditions for theoptimal search for a solution to complex functions by applying the search method and, based on it, an
  algorithm for the behavior of stem cells. The practical value of the work lies in the development of a new
  metaheuristic optimization method for the efficient solution of NP complete problems. Also in the work,
  a comparative analysis with well-known competitors was carried out. The main difference of the proposed
  method from other known methods is the use of a new approach of bioinspired search based on
  the behavior of stem cells, which, as shown by practical comparison, has an advantage over known
  analogues. The results of a practical comparison of methods and algorithms based on them showed the
  advantages of the approach proposed in the work on known test functions. After analyzing the problem
  of creating methods, algorithms and software for solving NP complete problems, we can conclude that
  the development of such approaches is currently an urgent task.