The task of setting the parameters of metaheuristic optimization algorithms

Описание

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. 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 on various 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.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1333, Is. 3

Номера страниц: 32044

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

Авторы

  • Lugovaya N.M. (Siberian Fed Univ, 79 Svobodny Pr, Krasnoyarsk 660041, Russia)
  • Mikhalev A.S. (Siberian Fed Univ, 79 Svobodny Pr, Krasnoyarsk 660041, Russia)
  • Kukartsev V.V. (Siberian Fed Univ, 79 Svobodny Pr, Krasnoyarsk 660041, Russia; Reshetnev Siberian State Univ Sci & Technol, 31 Krasnoyarsky Rabochy Ave, Krasnoyarsk 660037, Russia)
  • Tynchenko V.S. (Siberian Fed Univ, 79 Svobodny Pr, Krasnoyarsk 660041, Russia; Reshetnev Siberian State Univ Sci & Technol, 31 Krasnoyarsky Rabochy Ave, Krasnoyarsk 660037, Russia)
  • Baranov V.A. (Siberian Fed Univ, 79 Svobodny Pr, Krasnoyarsk 660041, Russia)
  • Kolbina A.O. (Siberian Fed Univ, 79 Svobodny Pr, Krasnoyarsk 660041, Russia)
  • Chzhan E.A. (Siberian Fed Univ, 79 Svobodny Pr, Krasnoyarsk 660041, Russia)

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