Публікація:
The development of the method of evaluation of complex hierarchical systems based on improved alforitm of particle swarm

Ескіз недоступний
Дата
2023-09-29
Автори
Shyshatskyi, A.
Pluhina, T.
Plekhova, G.
Binkovska, A.
Pronin, S.
Stasiuk, T.
Nalapko, O.
Protas, N. M.
Pliushch, T.
Burlak, D.
Назва видання
ISSN
Назва тому
Видання
Technology Audit and Production Reserves
Дослідницькі проекти
Структурні одиниці
Випуск видання
Анотація
The scientific task, which is solved in the research, is to increase the efficiency of the evaluation of complex hierarchical real-time systems. Finding solutions to nonlinear optimization problems and especially global optimization problems is one of the most popular problems in computational mathematics. In applied problems, the objective function, as a rule, has a large number of variables, is not given in an analytical form and is calculated as some integral characteristic of a complex dynamic process. The development of effective methods, to a certain extent adaptive to the variability of the objective function, is especially relevant in connection with the development of computer technology and the possibility of using parallel computing systems. The conducted research was aimed at developing a method of evaluating complex hierarchical systems based on an improved particle swarm. At the same time, the object of research was complex hierarchical real-time systems. The subject of research is the functioning of real-time hierarchical systems.
Опис
Ключові слова
complex hierarchical real-time systems, responsiveness, particle swarm, global and local optimization
Бібліографічний опис
The development of the method of evaluation of complex hierarchical systems based on improved alforitm of particle swarm / A. Shyshatskyi et al. Technology Audit and Production Reserves. 2023. №6 (2 (74)). Pp. 15–19. DOI: https://doi.org/10.15587/2706-5448.2023.288055