Standard

Simulation of optimal solutions for assignment problems in the context of incomplete information. / Zaitseva, Irina; Malafeyev, Oleg; Konopko, Ekaterina; Taran, Viktoriya; Durakova, Anna.

International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. ed. / Theodore E. Simos; Charalambos Tsitouras. American Institute of Physics, 2020. 420012 (AIP Conference Proceedings; Vol. 2293).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Zaitseva, I, Malafeyev, O, Konopko, E, Taran, V & Durakova, A 2020, Simulation of optimal solutions for assignment problems in the context of incomplete information. in TE Simos & C Tsitouras (eds), International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019., 420012, AIP Conference Proceedings, vol. 2293, American Institute of Physics, International Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019, Rhodes, Greece, 23/09/19. https://doi.org/10.1063/5.0026848

APA

Zaitseva, I., Malafeyev, O., Konopko, E., Taran, V., & Durakova, A. (2020). Simulation of optimal solutions for assignment problems in the context of incomplete information. In T. E. Simos, & C. Tsitouras (Eds.), International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019 [420012] (AIP Conference Proceedings; Vol. 2293). American Institute of Physics. https://doi.org/10.1063/5.0026848

Vancouver

Zaitseva I, Malafeyev O, Konopko E, Taran V, Durakova A. Simulation of optimal solutions for assignment problems in the context of incomplete information. In Simos TE, Tsitouras C, editors, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. American Institute of Physics. 2020. 420012. (AIP Conference Proceedings). https://doi.org/10.1063/5.0026848

Author

Zaitseva, Irina ; Malafeyev, Oleg ; Konopko, Ekaterina ; Taran, Viktoriya ; Durakova, Anna. / Simulation of optimal solutions for assignment problems in the context of incomplete information. International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. editor / Theodore E. Simos ; Charalambos Tsitouras. American Institute of Physics, 2020. (AIP Conference Proceedings).

BibTeX

@inproceedings{6f0da04ef01e418ca791976606ac9e15,
title = "Simulation of optimal solutions for assignment problems in the context of incomplete information",
abstract = "In this paper, we construct a game-theoretic model related to the problem of optimal assignments. A number of examples are considered in which a compromise point, Nash equilibrium and Pareto optimum are found. For the case of six players, three models were constructed for which solutions of the assignment problem are found based on different optimality principles.",
keywords = "Assignment problem, Enterprise, Nash equilibrium, Optimality, Pareto optimum, Worker",
author = "Irina Zaitseva and Oleg Malafeyev and Ekaterina Konopko and Viktoriya Taran and Anna Durakova",
note = "Funding Information: The work is partially supported by the RFBR grant # 18-01-00796. Publisher Copyright: {\textcopyright} 2020 American Institute of Physics Inc.. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; International Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019 ; Conference date: 23-09-2019 Through 28-09-2019",
year = "2020",
month = nov,
day = "24",
doi = "10.1063/5.0026848",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics",
editor = "Simos, {Theodore E.} and Charalambos Tsitouras",
booktitle = "International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019",
address = "United States",

}

RIS

TY - GEN

T1 - Simulation of optimal solutions for assignment problems in the context of incomplete information

AU - Zaitseva, Irina

AU - Malafeyev, Oleg

AU - Konopko, Ekaterina

AU - Taran, Viktoriya

AU - Durakova, Anna

N1 - Funding Information: The work is partially supported by the RFBR grant # 18-01-00796. Publisher Copyright: © 2020 American Institute of Physics Inc.. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/11/24

Y1 - 2020/11/24

N2 - In this paper, we construct a game-theoretic model related to the problem of optimal assignments. A number of examples are considered in which a compromise point, Nash equilibrium and Pareto optimum are found. For the case of six players, three models were constructed for which solutions of the assignment problem are found based on different optimality principles.

AB - In this paper, we construct a game-theoretic model related to the problem of optimal assignments. A number of examples are considered in which a compromise point, Nash equilibrium and Pareto optimum are found. For the case of six players, three models were constructed for which solutions of the assignment problem are found based on different optimality principles.

KW - Assignment problem

KW - Enterprise

KW - Nash equilibrium

KW - Optimality

KW - Pareto optimum

KW - Worker

UR - http://www.scopus.com/inward/record.url?scp=85097975041&partnerID=8YFLogxK

U2 - 10.1063/5.0026848

DO - 10.1063/5.0026848

M3 - Conference contribution

AN - SCOPUS:85097975041

T3 - AIP Conference Proceedings

BT - International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019

A2 - Simos, Theodore E.

A2 - Tsitouras, Charalambos

PB - American Institute of Physics

T2 - International Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019

Y2 - 23 September 2019 through 28 September 2019

ER -

ID: 72678461