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Research of the Model of Territorial Distribution of Labor Resources. / Zaitseva, Irina; Malafeyev, Oleg; Ermakova, Anna; Dronov, Stanislav; Ugegov, Nikita; Pupysheva, Galina.

Proceedings - 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. стр. 203-206 8947556 (Proceedings - 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференцииРецензирование

Harvard

Zaitseva, I, Malafeyev, O, Ermakova, A, Dronov, S, Ugegov, N & Pupysheva, G 2019, Research of the Model of Territorial Distribution of Labor Resources. в Proceedings - 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019., 8947556, Proceedings - 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019, Institute of Electrical and Electronics Engineers Inc., стр. 203-206, 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019, Lipetsk, Российская Федерация, 20/11/19. https://doi.org/10.1109/SUMMA48161.2019.8947556

APA

Zaitseva, I., Malafeyev, O., Ermakova, A., Dronov, S., Ugegov, N., & Pupysheva, G. (2019). Research of the Model of Territorial Distribution of Labor Resources. в Proceedings - 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019 (стр. 203-206). [8947556] (Proceedings - 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SUMMA48161.2019.8947556

Vancouver

Zaitseva I, Malafeyev O, Ermakova A, Dronov S, Ugegov N, Pupysheva G. Research of the Model of Territorial Distribution of Labor Resources. в Proceedings - 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019. Institute of Electrical and Electronics Engineers Inc. 2019. стр. 203-206. 8947556. (Proceedings - 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019). https://doi.org/10.1109/SUMMA48161.2019.8947556

Author

Zaitseva, Irina ; Malafeyev, Oleg ; Ermakova, Anna ; Dronov, Stanislav ; Ugegov, Nikita ; Pupysheva, Galina. / Research of the Model of Territorial Distribution of Labor Resources. Proceedings - 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. стр. 203-206 (Proceedings - 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019).

BibTeX

@inproceedings{76e88366cc574819b971096677174b03,
title = "Research of the Model of Territorial Distribution of Labor Resources",
abstract = "The paper considers a game model of spatial competition of workers of various professional qualifications, taking into consideration the interests of employers. It is assumed that workers and employers are interested in maximizing their profits and acting on the basis of their interests. To simulate this situation, you need to use the mathematical apparatus of game theory. The article presents a solution to the problem of locating a finite number of employees with a known finite number of employers on a network defined on a flat torus. Winning employees is defined as the salary offered to them, taking into consideration all their merits. Employers choose workers, not only on the basis of the cost function specified for each employer when moving workers, but also focusing on the minimum cost of employees' professional qualifications. Compromise solutions serve as a criterion of optimality. A compromise solution and equilibrium in the network are found according to Stackelberg.",
keywords = "game-theoretical solutions, labor resources, territorial distribution model",
author = "Irina Zaitseva and Oleg Malafeyev and Anna Ermakova and Stanislav Dronov and Nikita Ugegov and Galina Pupysheva",
year = "2019",
month = nov,
doi = "10.1109/SUMMA48161.2019.8947556",
language = "English",
series = "Proceedings - 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "203--206",
booktitle = "Proceedings - 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019",
address = "United States",
note = "1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019 ; Conference date: 20-11-2019 Through 22-11-2019",

}

RIS

TY - GEN

T1 - Research of the Model of Territorial Distribution of Labor Resources

AU - Zaitseva, Irina

AU - Malafeyev, Oleg

AU - Ermakova, Anna

AU - Dronov, Stanislav

AU - Ugegov, Nikita

AU - Pupysheva, Galina

PY - 2019/11

Y1 - 2019/11

N2 - The paper considers a game model of spatial competition of workers of various professional qualifications, taking into consideration the interests of employers. It is assumed that workers and employers are interested in maximizing their profits and acting on the basis of their interests. To simulate this situation, you need to use the mathematical apparatus of game theory. The article presents a solution to the problem of locating a finite number of employees with a known finite number of employers on a network defined on a flat torus. Winning employees is defined as the salary offered to them, taking into consideration all their merits. Employers choose workers, not only on the basis of the cost function specified for each employer when moving workers, but also focusing on the minimum cost of employees' professional qualifications. Compromise solutions serve as a criterion of optimality. A compromise solution and equilibrium in the network are found according to Stackelberg.

AB - The paper considers a game model of spatial competition of workers of various professional qualifications, taking into consideration the interests of employers. It is assumed that workers and employers are interested in maximizing their profits and acting on the basis of their interests. To simulate this situation, you need to use the mathematical apparatus of game theory. The article presents a solution to the problem of locating a finite number of employees with a known finite number of employers on a network defined on a flat torus. Winning employees is defined as the salary offered to them, taking into consideration all their merits. Employers choose workers, not only on the basis of the cost function specified for each employer when moving workers, but also focusing on the minimum cost of employees' professional qualifications. Compromise solutions serve as a criterion of optimality. A compromise solution and equilibrium in the network are found according to Stackelberg.

KW - game-theoretical solutions

KW - labor resources

KW - territorial distribution model

UR - http://www.scopus.com/inward/record.url?scp=85078158507&partnerID=8YFLogxK

U2 - 10.1109/SUMMA48161.2019.8947556

DO - 10.1109/SUMMA48161.2019.8947556

M3 - Conference contribution

T3 - Proceedings - 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019

SP - 203

EP - 206

BT - Proceedings - 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019

Y2 - 20 November 2019 through 22 November 2019

ER -

ID: 51351005