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Nature-inspiredalgorithms for ascheduling problem inoperational planning: доклад, тезисыдоклада Semenkina O.E.Popov E.A.2020 год

Nature-inspired algorithms for a scheduling problem in operational planning : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: eLibrary · Источник статьи
База данных: Каталог библиотеки СФУ
Библиографическое описание: Nature-inspired algorithms for a scheduling problem in operational planning : доклад, тезисы доклада / O. E. Semenkina, E. A. Popov. - [S. l. : s. n.], 2020. - Текст : непосредственный // IOP Conference Series: Materials Science and Engineering / Krasnoyarsk Science and Technology City Hall of the Russian Union of Scientific and Engineering Associations ; II International Scientific Conference "Advanced Technologies in Aerospace, Mechanical and Automation Engineering" (2019 ; 18.11 - 21.11 ; Krasnoyarsk) : Institute of Physics and IOP Publishing Limited, 2020. - 734. - P. 12107. - DOI 10.1088/1757-899X/734/1/012107.
Аннотация: The scheduling problem is a widespread one, and it is still not automatized mostly because of the so-called combinatorial explosion. The paper describes two different approaches to solving a hierarchical scheduling problem based on solution representation. The first one proposes to find an optimal order of projects and then to solve the resource-constrained project scheduling problem for each of them. The second one assumes that we can find a priority of all activities for all projects and use it in the schedule building process if there is a conflict in the choosing of the next activity. The paper considers some nature-inspired algorithms such as the intelligent water drops algorithm, a genetic algorithm and ant colony optimization as well as a self-configuring version of the last two. The algorithm performance and different solution representation approaches are compared using the results of solving the test problems.
Год издания: 2020
Авторы: Semenkina O.E. , Popov E.A.
Издательство: Institute of Physics and IOP Publishing Limited
Источник: IOP Conference Series: Materials Science and Engineering
Выпуск: 734
Мероприятие: II International Scientific Conference "Advanced Technologies in Aerospace, Mechanical and Automation Engineering" (Krasnoyarsk, 2019 ; 18.11 - 21.11)
Номера страниц: 12107
Держатель оригинала документа: Reshetnev Siberian State University of Science and Technology
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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