Mathematical Simulation Of Adaptive Allocation Of Discrete Resources; Advances in Computer Science Research; Vol. 51 : Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016)
| Parent link: | Advances in Computer Science Research Vol. 51 : Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016).— 2016.— [P. 282-285] |
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| Altres autors: | , |
| Sumari: | 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. |
| Idioma: | anglès |
| Publicat: |
2016
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| Matèries: | |
| Accés en línia: | http://dx.doi.org/10.2991/itsmssm-16.2016.57 |
| Format: | MixedMaterials Electrònic Capítol de llibre |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657518 |
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| 200 | 1 | |a Mathematical Simulation Of Adaptive Allocation Of Discrete Resources |f E. Anisimov, V. Anisimov, M. A. Sonkin | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: p. 285 (17 tit.)] | ||
| 330 | |a 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. | ||
| 461 | 1 | |0 (RuTPU)RU\TPU\network\18167 |t Advances in Computer Science Research | |
| 463 | 0 | |0 (RuTPU)RU\TPU\network\18169 |t Vol. 51 : Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016) |o III International Scientific Conference, May 23-26, 2016, Tomsk, Russia |o [proceedings] |f National Research Tomsk Polytechnic University (TPU) ; eds. O. G. Berestneva, A. Tikhomirov, A. Trufanov |v [P. 282-285] |d 2016 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a management system | |
| 610 | 1 | |a discrete resources | |
| 610 | 1 | |a distribution of resources | |
| 610 | 1 | |a uncertain circumstances | |
| 610 | 1 | |a adaptation | |
| 610 | 1 | |a optimization | |
| 610 | 1 | |a model | |
| 610 | 1 | |a система управления | |
| 610 | 1 | |a ресурсы | |
| 610 | 1 | |a адаптация | |
| 610 | 1 | |a оптимизация | |
| 610 | 1 | |a модели | |
| 610 | 1 | |a математическое моделирование | |
| 610 | 1 | |a управленческие решения | |
| 610 | 1 | |a реальное время | |
| 700 | 1 | |a Anisimov |b E. |g Evgeniy | |
| 701 | 1 | |a Anisimov |b V. |g Vladimir | |
| 701 | 1 | |a Sonkin |b M. A. |c specialist in the field of Informatics and computer engineering |c Professor of Tomsk Polytechnic University, doctor of technical Sciences |f 1954- |g Mikhail Arkadjevich |2 stltpush |3 (RuTPU)RU\TPU\pers\35112 | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Инженерная школа информационных технологий и робототехники |b Отделение информационных технологий |h 7951 |2 stltpush |3 (RuTPU)RU\TPU\col\23515 |
| 801 | 2 | |a RU |b 63413507 |c 20180212 |g RCR | |
| 856 | 4 | |u http://dx.doi.org/10.2991/itsmssm-16.2016.57 | |
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