49486

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Multicriteria Selection of Algorithms in Grid Methods for the Study of Large-Scale Systems

Электронная публикация: 

Да

ISBN/ISSN: 

978-1-5386-4924-4

DOI: 

10.1109/MLSD.2018.8551937

Наименование конференции: 

  • 2018 11th International Conference "Management of Large-Scale System Development" (MLSD)

Наименование источника: 

  • Proceedings of the 11th International Conference "Management of Large-Scale System Development" (MLSD)

Город: 

  • Moscow

Издательство: 

  • IEEE

Год издания: 

2018

Страницы: 

https://ieeexplore.ieee.org/document/8551937
Аннотация
Grid methods of investigation of dynamic stochastic systems using simulation models allow to successfully applying the methods of identification theory to describe the region of efficiency of the system under investigation. Within this region, the values of quality indices are better than in other region. The process of selection of identification algorithm is not formalized. Depending on the task, the set of criteria by which the algorithms are elected, may be different. The method of algorithm selection by several criteria is proposed in the article

Библиографическая ссылка: 

Макаров В.В., Антонова Г.М. Multicriteria Selection of Algorithms in Grid Methods for the Study of Large-Scale Systems / Proceedings of the 11th International Conference "Management of Large-Scale System Development" (MLSD). Moscow: IEEE, 2018. С. https://ieeexplore.ieee.org/document/8551937.