Страница публикации

Scalable Application for the Search of Global Minima of Multiextremal Functions

Тип публикации: Статья в журнале

Тип материала: Текст

Авторы: Bychkov I.V., Oparin G.A., Tchernykh A.N., Feoktistov A.G., Gorsky S.A., Rivera-Rodriguez R.

Журнал: Optoelectronics Instrumentation and Data Processing

Язык публикации: english

Том: 54

Номера страниц: 83-89

Количество страниц: 7

Номер: 1

Год публикации: 2018

Отчетный год: 2018

DOI: 10.3103/S8756699018010132

Аннотация: This paper describes the urgent issue of providing scalability of computations in the solution of multiextremal problems arising in different fields of scientific studies, including image processing. There is an approach proposed for the development of the Gradient scalable application for solving the problem of global optimization of multiextremal functions with account for a multistart method in the Orlando framework. An additional step of computations is implemented in the problem solving scheme, which makes it possible to decompose the problem with account for the performance of computational resources and thereby minimize the time it takes to solve it as opposed to a classical multistart method. Special agents of the metamonitoring system for measuring the performance of resource with regard to the problem solved are developed.

Индексируется WOS: Q5

Индексируется Scopus: Нет

Индексируется УБС: Нет

Индексируется РИНЦ: Нет

Индексируется ВАК: Нет

Индексируется CORE: Нет