Standard

Meta-optimization of the parameters for the gravitational search algorithm in chemical kinetics problems. / Enikeeva, L. V.; Shvareva, E. N.; Dubovtsev, D. A. et al.

In: Journal of Physics: Conference Series, Vol. 2131, No. 2, 022005, 29.12.2021.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Enikeeva, LV, Shvareva, EN, Dubovtsev, DA & Gubaydullin, IM 2021, 'Meta-optimization of the parameters for the gravitational search algorithm in chemical kinetics problems', Journal of Physics: Conference Series, vol. 2131, no. 2, 022005. https://doi.org/10.1088/1742-6596/2131/2/022005

APA

Enikeeva, L. V., Shvareva, E. N., Dubovtsev, D. A., & Gubaydullin, I. M. (2021). Meta-optimization of the parameters for the gravitational search algorithm in chemical kinetics problems. Journal of Physics: Conference Series, 2131(2), [022005]. https://doi.org/10.1088/1742-6596/2131/2/022005

Vancouver

Enikeeva LV, Shvareva EN, Dubovtsev DA, Gubaydullin IM. Meta-optimization of the parameters for the gravitational search algorithm in chemical kinetics problems. Journal of Physics: Conference Series. 2021 Dec 29;2131(2):022005. doi: 10.1088/1742-6596/2131/2/022005

Author

Enikeeva, L. V. ; Shvareva, E. N. ; Dubovtsev, D. A. et al. / Meta-optimization of the parameters for the gravitational search algorithm in chemical kinetics problems. In: Journal of Physics: Conference Series. 2021 ; Vol. 2131, No. 2.

BibTeX

@article{5d6f287049df4bdbb7afc942045cd9b5,
title = "Meta-optimization of the parameters for the gravitational search algorithm in chemical kinetics problems",
abstract = "The paper considers the selection of the optimal parameters of the heuristic algorithm, which is used for mathematical modeling of the chemical-technological process. This adjustment of the algorithm parameters is called meta-optimization. The gravity search algorithm is used as a heuristic algorithm. Meta-optimization is performed by a genetic algorithm. The meta-optimization is tested on the problem of modeling the process of propane pre-reforming. It is shown that setting even one parameter of a heuristic algorithm is a time-consuming operation. The article presents the results of the numerical solution of the meta-optimization algorithm.",
author = "Enikeeva, {L. V.} and Shvareva, {E. N.} and Dubovtsev, {D. A.} and Gubaydullin, {I. M.}",
note = "Funding Information: The reported study was funded by RFBR under the project numbers 19-37-60014 “Perspectiva”. Publisher Copyright: {\textcopyright} 2021 Institute of Physics Publishing. All rights reserved.; Intelligent Information Technology and Mathematical Modeling 2021, IITMM 2021 ; Conference date: 31-05-2021 Through 06-06-2021",
year = "2021",
month = dec,
day = "29",
doi = "10.1088/1742-6596/2131/2/022005",
language = "English",
volume = "2131",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "2",

}

RIS

TY - JOUR

T1 - Meta-optimization of the parameters for the gravitational search algorithm in chemical kinetics problems

AU - Enikeeva, L. V.

AU - Shvareva, E. N.

AU - Dubovtsev, D. A.

AU - Gubaydullin, I. M.

N1 - Funding Information: The reported study was funded by RFBR under the project numbers 19-37-60014 “Perspectiva”. Publisher Copyright: © 2021 Institute of Physics Publishing. All rights reserved.

PY - 2021/12/29

Y1 - 2021/12/29

N2 - The paper considers the selection of the optimal parameters of the heuristic algorithm, which is used for mathematical modeling of the chemical-technological process. This adjustment of the algorithm parameters is called meta-optimization. The gravity search algorithm is used as a heuristic algorithm. Meta-optimization is performed by a genetic algorithm. The meta-optimization is tested on the problem of modeling the process of propane pre-reforming. It is shown that setting even one parameter of a heuristic algorithm is a time-consuming operation. The article presents the results of the numerical solution of the meta-optimization algorithm.

AB - The paper considers the selection of the optimal parameters of the heuristic algorithm, which is used for mathematical modeling of the chemical-technological process. This adjustment of the algorithm parameters is called meta-optimization. The gravity search algorithm is used as a heuristic algorithm. Meta-optimization is performed by a genetic algorithm. The meta-optimization is tested on the problem of modeling the process of propane pre-reforming. It is shown that setting even one parameter of a heuristic algorithm is a time-consuming operation. The article presents the results of the numerical solution of the meta-optimization algorithm.

UR - http://www.scopus.com/inward/record.url?scp=85123586698&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/2131/2/022005

DO - 10.1088/1742-6596/2131/2/022005

M3 - Conference article

AN - SCOPUS:85123586698

VL - 2131

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 2

M1 - 022005

T2 - Intelligent Information Technology and Mathematical Modeling 2021, IITMM 2021

Y2 - 31 May 2021 through 6 June 2021

ER -

ID: 35408527