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.
