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Comparison of methods for start points initializing of a non-parametric optimization algorithm

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: 10.1088/1742-6596/1353/1/012104

Аннотация: The problem of global optimization arises in various fields of science and technology, and several different ways of solving it have been proposed. The results of the study of the effectiveness of the non-parametric global optimization algorithm are presented. A comparative analysis of this algorithm is presented. performance analyПоказать полностьюsis of the algorithm based on the Ackley, Rastrigin, Shekel, Griewank and Rosenbrock function. In addition, studies were carried out for the three initial points of the distribution algorithms: The sequence LPτ, the sequence UDC, the uniform random distribution. thus, the best way to initialize the initial points of the non-parametric optimization algorithm on these test functions was identified. According to the research results, the effective parameters of the genetic algorithm were established. © 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: 12104

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

Персоны

  • Pavlenko A.A. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)
  • Kukartsev 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)
  • Tynchenko V.S. (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)
  • Shigina A.A. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
  • Chzhan E.A. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
  • Kukartsev V.A. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)

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