Standard

Statistical game-theoretic model of the optimal labor resources distribution. / Zaitseva, Irina; Malafeyev, Oleg; Zubov, Afanasy; Bondarenko, Lidiya; Orlov, Vyacheslav.

In: Journal of Physics: Conference Series, Vol. 1399, No. 3, 033054, 05.12.2019.

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

Harvard

Zaitseva, I, Malafeyev, O, Zubov, A, Bondarenko, L & Orlov, V 2019, 'Statistical game-theoretic model of the optimal labor resources distribution', Journal of Physics: Conference Series, vol. 1399, no. 3, 033054. https://doi.org/10.1088/1742-6596/1399/3/033054

APA

Zaitseva, I., Malafeyev, O., Zubov, A., Bondarenko, L., & Orlov, V. (2019). Statistical game-theoretic model of the optimal labor resources distribution. Journal of Physics: Conference Series, 1399(3), [033054]. https://doi.org/10.1088/1742-6596/1399/3/033054

Vancouver

Zaitseva I, Malafeyev O, Zubov A, Bondarenko L, Orlov V. Statistical game-theoretic model of the optimal labor resources distribution. Journal of Physics: Conference Series. 2019 Dec 5;1399(3). 033054. https://doi.org/10.1088/1742-6596/1399/3/033054

Author

Zaitseva, Irina ; Malafeyev, Oleg ; Zubov, Afanasy ; Bondarenko, Lidiya ; Orlov, Vyacheslav. / Statistical game-theoretic model of the optimal labor resources distribution. In: Journal of Physics: Conference Series. 2019 ; Vol. 1399, No. 3.

BibTeX

@article{8e6b140b13f14e4998fe339cf373bdc8,
title = "Statistical game-theoretic model of the optimal labor resources distribution",
abstract = "In this paper, a competitive model of the static assignment problem is constructed and investigated. The paper considers the static theoretical and game model of the optimal purpose problem. The algorithm of finding the equilibrium situation is constructed. This algorithm based on the given utility matrixes for workers and enterprises shows what purpose will be equilibrium. Finding compromise gains and equilibrium situations are analyzed by examples.",
author = "Irina Zaitseva and Oleg Malafeyev and Afanasy Zubov and Lidiya Bondarenko and Vyacheslav Orlov",
year = "2019",
month = dec,
day = "5",
doi = "10.1088/1742-6596/1399/3/033054",
language = "English",
volume = "1399",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "3",
note = "International Scientific Conference on Applied Physics, Information Technologies and Engineering 2019, APITECH 2019 ; Conference date: 25-09-2019 Through 27-09-2019",

}

RIS

TY - JOUR

T1 - Statistical game-theoretic model of the optimal labor resources distribution

AU - Zaitseva, Irina

AU - Malafeyev, Oleg

AU - Zubov, Afanasy

AU - Bondarenko, Lidiya

AU - Orlov, Vyacheslav

PY - 2019/12/5

Y1 - 2019/12/5

N2 - In this paper, a competitive model of the static assignment problem is constructed and investigated. The paper considers the static theoretical and game model of the optimal purpose problem. The algorithm of finding the equilibrium situation is constructed. This algorithm based on the given utility matrixes for workers and enterprises shows what purpose will be equilibrium. Finding compromise gains and equilibrium situations are analyzed by examples.

AB - In this paper, a competitive model of the static assignment problem is constructed and investigated. The paper considers the static theoretical and game model of the optimal purpose problem. The algorithm of finding the equilibrium situation is constructed. This algorithm based on the given utility matrixes for workers and enterprises shows what purpose will be equilibrium. Finding compromise gains and equilibrium situations are analyzed by examples.

UR - http://www.scopus.com/inward/record.url?scp=85077458758&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1399/3/033054

DO - 10.1088/1742-6596/1399/3/033054

M3 - Conference article

AN - SCOPUS:85077458758

VL - 1399

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 3

M1 - 033054

T2 - International Scientific Conference on Applied Physics, Information Technologies and Engineering 2019, APITECH 2019

Y2 - 25 September 2019 through 27 September 2019

ER -

ID: 51351714