Mathematical Simulation Of Adaptive Allocation Of Discrete Resources

Mathematical Simulation Of Adaptive Allocation Of Discrete Resources

Podrobná bibliografie
Parent link:	Advances in Computer Science Research Vol. 51 : Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016).— 2016.— [P. 282-285]
Hlavní autor:	Anisimov E. Evgeniy
Korporativní autor:	Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение информационных технологий
Další autoři:	Anisimov V. Vladimir, Sonkin M. A. Mikhail Arkadjevich
Shrnutí:	Title screen The dynamic and uncertainty of management system generate and complicate the problem of providing appropriate quality management solutions. Optimization and adaptive approach to the process of taking a management decision is one the most effective. Practically, it can be implemented by modeling adaptive distribution of discrete resources. So, the results of this article include the methods of forming mathematical models of distribution of discrete resources, based on the principle of optimization and adaptive approach to the process of taking a management decision in automated information management systems in the real-time mode (AIMS). The implementation of considered methods help to scrutinize such aspects of a real management system as dynamics and uncertainty of situations, but at the same time to operate with simple mathematical models of static optimization for taking a decision about the distribution of resources.
Jazyk:	angličtina
Vydáno:	2016
Témata:	электронный ресурс труды учёных ТПУ management system discrete resources distribution of resources uncertain circumstances adaptation optimization model система управления ресурсы адаптация оптимизация модели математическое моделирование управленческие решения реальное время
On-line přístup:	http://dx.doi.org/10.2991/itsmssm-16.2016.57
Médium:	Elektronický zdroj Kapitola
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657518

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