Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: International Conference: Information Technologies in Business and Industry (ITBI); Novosibirsk State Tech Univ, Novosibirsk, RUSSIA; Novosibirsk State Tech Univ, Novosibirsk, RUSSIA
Год издания: 2019
Идентификатор DOI: 10.1088/1742-6596/1333/3/032044
Аннотация: When solving global optimization problems, many problems arise related to their multi-extremity, nonlinearity, high computation complexity, and other. To solve these problems, a large number of algorithms were created. This article focuses on analyzing the class of metaheuristic algorithms for searching for extrema: testing them onПоказать полностьюvarious functions and comparing their behavior at the most optimal parameters. Particle swarm algorithms are considered; bats, swarming bees, swarming fireflies, bacterial. In the framework of this article, a study of various metaheuristic extremum search algorithms, the selection of optimal parameters for each of them using various functions as an example was conducted. Also, these algorithms solved the problem of designing a cylindrical spring with a constant axial load. © Published under licence by IOP Publishing Ltd.
Журнал: Journal of Physics: Conference Series
Выпуск журнала: Vol. 1333, Is. 3
Номера страниц: 32044
ISSN журнала: 17426588
Издатель: Institute of Physics Publishing