Article 11319

Title of the article

BASES OF APPLICATION OF QUASI-BIOLOGICAL APPROACHES ON SOLVING OPTIMIZATION PROBLEMS 

Authors

Imamutdinov Anton Igorevich, postgraduate student, Penza State University (440026, 40 Krasnaya street, Penza, Russia), E-mail: antonim94@yandex.ru
Sleptsov Nikolay Vladimirovich, candidate of technical sciences, associate professor, sub-department of economic cybernetics, Penza State University (440026, 40 Krasnaya street, Penza, Russia), E-mail: nbs_nbs@km.ru 

Index UDK

519.718 

DOI

10.21685/2307-4205-2019-3-11 

Abstract

Background. The formulation of the problem of the possibility of the targeted use of basic principles of functioning and development of biological systems in a natural environment for solving complex and practically important tasks, such as the problems of optimizing systems, lead to the effectiveness and consistency of the action of elements of biological objects of all levels that exist in continuous biological evolution, as well as the functionality of the structure of objects formed under the influence of natural selection.
Materials and methods. The processes of evolutionary emergence and development of media coding information about objects and systems are considered. Analyzed models of evolutionary development as a means of research and construction of complex systems.
Results. Estimates are given and the applicability of quasi-biological methods for solving complex multiparameter problems is justified.
Conclusions. Models of genetic and molecular information systems can serve as the basis for the development of systems of representation, generation and optimization of complex structures. Consideration of the models of evolution of information sequences allows us to conclude that it is possible to formally substantiate the basic characteristics of the methods – obtaining a single solution, the average speed of obtaining a solution, and connectivity characteristics for genetic control systems of cellular organism. 

Key words

modeling, system, evolutionary development, informational sequences, automata, models of evolution 

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Дата создания: 01.11.2019 13:03
Дата обновления: 01.11.2019 14:07