Open AccessOptimizing the selection of combination of alternative functions of ergatic system multifunctional elements
Author(s) -
Georgiy Zverev,
V. V. Menshikh
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1479/1/012062
Subject(s) - computer science , problem statement , selection (genetic algorithm) , parametric statistics , statement (logic) , relevance (law) , set (abstract data type) , scheme (mathematics) , process (computing) , operator (biology) , mathematical optimization , mathematics , management science , artificial intelligence , engineering , programming language , mathematical analysis , biochemistry , statistics , chemistry , repressor , law , political science , transcription factor , gene
Ergatic systems have found their application in those areas where operator’s participation is an integral part of the effective functioning of these systems, that is, it has the ability to quickly solve problems and contingencies that arise during work process. Critical application systems are one of the varieties of ergatic systems. For their successful functioning, it is necessary to choose the optimal set of alternative functions of multifunctional elements. The relevance of this problem lies in the wide distribution of this type systems, as well as in their special importance. So this article provides a description of the structural and parametric models and functional capabilities of ergatic systems. As a model, it is proposed to use weighted hypergraphs. The statement of the problem of optimizing the choice of a combination of alternative functions of multifunctional elements of such systems is given. The description of the developed numerical method based on the use of the scheme of branches and boundaries is also given. The final part of the article presents a numerical example, divided into initial, intermediate and final stages of optimization, for demonstration of the described numerical method operation.