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Random search for global extremum of a function using Markov chains simulation. / Vladimirova, L. V.; Ovsyannikov, D. A.

в: Journal of Physics: Conference Series, Том 1238, № 1, 012073, 01.01.2019.

Результаты исследований: Научные публикации в периодических изданияхстатья в журнале по материалам конференцииРецензирование

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BibTeX

@article{2987ecf45e3041a5b8629ee394c8d7b4,
title = "Random search for global extremum of a function using Markov chains simulation",
abstract = "The problem under study is global extremum search for multiextremal function. Random search method based on Markov chains simulation is used. A comparative analysis of this method with another method - the method of random search for the global extremum with {"}memory{"}, using the normal distribution - done.",
keywords = "global extremum search; the metropolis method Markov chains;, global extremum search; simulation Markov chains; the metropolis method Markov chains;",
author = "Vladimirova, {L. V.} and Ovsyannikov, {D. A.}",
year = "2019",
month = jan,
day = "1",
doi = "10.1088/1742-6596/1238/1/012073",
language = "English",
volume = "1238",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",
note = "4th International Conference on Laser and Plasma Research and Technologies, LaPlas 2018 ; Conference date: 30-01-2018 Through 01-02-2018",

}

RIS

TY - JOUR

T1 - Random search for global extremum of a function using Markov chains simulation

AU - Vladimirova, L. V.

AU - Ovsyannikov, D. A.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - The problem under study is global extremum search for multiextremal function. Random search method based on Markov chains simulation is used. A comparative analysis of this method with another method - the method of random search for the global extremum with "memory", using the normal distribution - done.

AB - The problem under study is global extremum search for multiextremal function. Random search method based on Markov chains simulation is used. A comparative analysis of this method with another method - the method of random search for the global extremum with "memory", using the normal distribution - done.

KW - global extremum search; the metropolis method Markov chains;

KW - global extremum search; simulation Markov chains; the metropolis method Markov chains;

UR - http://www.scopus.com/inward/record.url?scp=85069956147&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1238/1/012073

DO - 10.1088/1742-6596/1238/1/012073

M3 - Conference article

AN - SCOPUS:85069956147

VL - 1238

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012073

T2 - 4th International Conference on Laser and Plasma Research and Technologies, LaPlas 2018

Y2 - 30 January 2018 through 1 February 2018

ER -

ID: 44966181