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.

Original languageEnglish
Title of host publicationProceedings - 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages203-206
Number of pages4
ISBN (Electronic)9781728149110
DOIs
StatePublished - Nov 2019
Event1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019 - Lipetsk, Russian Federation
Duration: 20 Nov 201922 Nov 2019

Publication series

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

Conference

Conference1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency, SUMMA 2019
Country/TerritoryRussian Federation
CityLipetsk
Period20/11/1922/11/19

    Scopus subject areas

  • Organizational Behavior and Human Resource Management
  • Mechanical Engineering
  • Control and Optimization
  • Modelling and Simulation
  • Control and Systems Engineering

    Research areas

  • game-theoretical solutions, labor resources, territorial distribution model

ID: 51351005