1. postgraduate stud. Al-Ahnomi Montaser Don State Technical University Department “Computer-aided design" Theme:- "development and research of intelligent algorithms to support the adoption of design decisions based on fuzzy logic" scientific adviser Doctor of Technical Sciences, Full professor Chernyshev Y. O.

2. I am from Yemen I finished university studies in the Kuban State University of Technology in the city of Krasnodar, I got a bachelor's degree in Information Technology and Computer Engineering Then I got a specialist engineer diploma in the field of Software computer technology and automated systems I chose the Don State Technical University, in Rostov because there is no my specialist in Krasnodar's universities 2

3. I do research in the field of: Computer-aided design, manufacturing and engineering 3

4. Development and research of intelligent algorithms to support the adoption of design decisions based on fuzzy logic 4

5. Topicality In practice, as a method for solving optimization, problems associated with the development of VLSI, using approaches based on simulation of evolution (genetic algorithms, automatic adjustment, etc.). These approaches are widely used in solving some practical problems (coverage, partitioning, trace layouts, matching, coloring, routing, etc.), but, at the same time, the potential of these methods is not enough used. In addition, currently, actively developing multi-agent intelligent optimization techniques (Swarm Intelligence). 5

6. Topicality A distinctive feature of these methods-modeling of collective intelligence. The latest multi-agent intelligent optimization methods are a method of bee swarm ant colony optimization based on modeling movement of bacteria. The results of the practical application of these methods indicate the possibility of using them to solve design problems, with acceptable accuracy for the time allowed. 6

7. Topicality It is supposed to conduct basic research in the development of methods to ensure the design process based on multi-agent intelligent optimization methods, the ability to support intelligent decision- making, including on the basis of the analysis of fuzzy input. The main direction of work- creation of effective methods to support the design process based on fuzzy input and fuzzy query optimization to input data. As a mathematical tool to be used above the evolutionary methods of individual 7

8. Particular attention will be paid to the creation of technology accumulation, processing and analysis of individual and collective knowledge to create specialized subsystems decision-making based on cognitive and social components of experience. It is planned to develop methods in procedural adaptation allows you to adjust the parameters of the decision during its (decisions) implementation. The project involves the implementation of two phases. The first stage consists in the formulation and solution of evolutionary methods, selected problems of VLSI design support. The second step is to generalize the results and the formulation of a unified theoretical approach to the solution chosen by the subclass of problems associated with the process of VLSI design. 8

9. Particular attention will be paid to the creation of technology accumulation, processing and analysis of individual and collective knowledge to create specialized subsystems decision-making based on cognitive and social components of experience. It is planned to develop methods in procedural adaptation allows you to adjust the parameters of the decision during its (decisions) implementation. The project involves the implementation of two phases. The first stage consists in the formulation and solution of evolutionary methods, selected problems of VLSI design support. The second step is to generalize the results and the formulation of a unified theoretical approach to the solution chosen by the subclass of problems associated with the process of VLSI design. 9

10. Goal is the development and study of evolutionary algorithms for solving selected problems of VLSI design using elements of fuzzy logic. 10 The purpose and objectives

11. - Study and staging of selected tasks VLSI design; - Analysis of existing and future methods of solving tasks; - Adaptive and fuzzy methods for solving tasks. 11

12. It is expected that this approach will provide support in the design process, by adapting to the domain (alternative, parametric, structural adjustment) based on fuzzy input (Logic Lukasiewicz, Zadeh, etc.), as well as previously accumulated experience (selection of the most preferred alternatives). 12

13. Development of efficient methods to ensure the process of VLSI design. 13

14. As part of the work is planned to develop an approach to the creation of adaptive mechanisms to support the design process based on the elements of fuzzy logic. 14

15. Thank you for your attention!