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Formation of initial point of initialization methods for optimization algorithms

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on High-Tech and Innovations in Research and Manufacturing, HIRM 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1353/1/012115

Аннотация: The initial point of initialization method is one of the main parameters for global optimization algorithms. Many scientists are engaged in its construction. The importance of this parameter for the entire algorithm is still not proven at all. Today, initialization methods based on stochastic algorithms are used. Six algorithms forПоказать полностьюconstructing multidimensional points for global optimization algorithms-boolean strings-is designed. The available algorithm is analyzed. The authors use the starting points scattering algorithms, which are: LPτ sequence, UDC sequence, uniform random scatter. A large number of algorithms relaunches is used. The best way to initialize the starting points for the non-parametric, genetic algorithm, the MIVER scheme algorithm and the collective optimization method based on the Co-Operation of Biology Related Algorithms (COBRA) for these test functions has been determined. © 2019 Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1353, Is. 1

Номера страниц: 12115

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

Персоны

  • Tynchenko V.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
  • Pavlenko A.A. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)
  • Bukhtoyarov V.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
  • Tikhonenko D.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)
  • Tynchenko S.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
  • Tsvettsykh A.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)

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