Open AccessMathematical modeling and optimization of adaptive information system
Author(s) -
Artem Obukhov,
Mikhail Krasnyanskiy,
Maxim Nikolyukin
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/971/3/032062
Subject(s) - computer science , set (abstract data type) , adaptive optimization , mathematical optimization , task (project management) , mathematical model , quality (philosophy) , information system , mathematics , systems engineering , engineering , statistics , electrical engineering , programming language , operating system , philosophy , epistemology
The paper considers mathematical modeling and optimization of adaptive information systems. The presented mathematical model is based on the apparatus of theories of sets and graphs and formalizes the main components and the relationships between them in adaptive information systems. Based on the developed model, a set of criteria is formulated for assessing the quality of systems. The multicriteria task of optimizing adaptive information systems is posed. An algorithm for its solution and the practical implementation of an adaptive information system for transmitting a video stream are considered. The stated approaches to formalization can be used for mathematical modeling and optimization of various adaptive information systems for solving digitalization problems in technical and industrial sectors.