The application of algorithmic model for optimization of information-computing systems in conditions of uncertainty
Keywords:
information-computing systems, algorithmic model of ics cost function, optimization of ics structure, generalized operation model, function transformation operator, system of generalized functions, integral operators, improved operation discrete optimization with restraction method, on time of performance of calculationsAbstract
In design of subsystems of management ICS there is a problem of synthesis of ICS control system, which will provide optimum sharing of operations on parallel and serial. For the solution of a task the cost function is introduced, it is received on a basis of the operation model as a criterion of optimality. The offered approach allows to realize the optimization of ICS in conditions of combined stochastic and fuzzy uncertainty on the base of algorithmic model.Downloads
-
PDF (Українська)
Downloads: 56
Abstract views: 217
Published
2010-11-12
How to Cite
[1]
V. M. Dubovoi and O. D. Nykytenko, “The application of algorithmic model for optimization of information-computing systems in conditions of uncertainty”, Вісник ВПІ, no. 6, pp. 9–13, Nov. 2010.
Issue
Section
Automation and information-measuring equipment
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
