Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Bilevel Models for Socially Oriented Strategic Planning in the Natural Resources Sector. / Lavlinskii, Sergey; Panin, Artem; Plyasunov, Alexander.
Mathematical Optimization Theory and Operations Research: Recent Trends - 20th International Conference, MOTOR 2021, Revised Selected Papers. ed. / Alexander Strekalovsky; Yury Kochetov; Tatiana Gruzdeva; Andrei Orlov. Springer Science and Business Media Deutschland GmbH, 2021. p. 358-371 (Communications in Computer and Information Science; Vol. 1476 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Bilevel Models for Socially Oriented Strategic Planning in the Natural Resources Sector
AU - Lavlinskii, Sergey
AU - Panin, Artem
AU - Plyasunov, Alexander
N1 - Publisher Copyright: © 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - This article continues the author’s research into cooperation between public and private investors in the resource region. Unlike previous works, here an attempt was made to explicitly take into account the interests of the local population. This work aims to analyze the partnership mechanisms in terms of efficiency, using the game-theoretical Stackelberg model. Such mechanisms determine the economic policy of the state and play an important role in addressing a whole range of issues related to the strategic management of the natural resource sector in Russia. Models are formulated as bilevel mathematical programming problems with two optimization criteria at the upper level. Effective solution algorithms based on metaheuristics and allowing solving large-dimensional problems will be developed. This opens up the possibility of practical study on the real data of the properties of Stackelberg equilibrium, which determines the design of the mechanism for the formation of economic policy, clearly taking into account the interests of the local population. The simulation results will allow not only to assess the impact of various factors on the effectiveness of the generated subsoil development program but also to formulate the basic principles that should guide the state in the strategic management process.
AB - This article continues the author’s research into cooperation between public and private investors in the resource region. Unlike previous works, here an attempt was made to explicitly take into account the interests of the local population. This work aims to analyze the partnership mechanisms in terms of efficiency, using the game-theoretical Stackelberg model. Such mechanisms determine the economic policy of the state and play an important role in addressing a whole range of issues related to the strategic management of the natural resource sector in Russia. Models are formulated as bilevel mathematical programming problems with two optimization criteria at the upper level. Effective solution algorithms based on metaheuristics and allowing solving large-dimensional problems will be developed. This opens up the possibility of practical study on the real data of the properties of Stackelberg equilibrium, which determines the design of the mechanism for the formation of economic policy, clearly taking into account the interests of the local population. The simulation results will allow not only to assess the impact of various factors on the effectiveness of the generated subsoil development program but also to formulate the basic principles that should guide the state in the strategic management process.
KW - Bilevel mathematical programming problems
KW - Stackelberg game
KW - Stochastic local search
KW - Strategic planning
KW - Subsoil development program
UR - http://www.scopus.com/inward/record.url?scp=85115847682&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-86433-0_25
DO - 10.1007/978-3-030-86433-0_25
M3 - Conference contribution
AN - SCOPUS:85115847682
SN - 9783030864323
T3 - Communications in Computer and Information Science
SP - 358
EP - 371
BT - Mathematical Optimization Theory and Operations Research
A2 - Strekalovsky, Alexander
A2 - Kochetov, Yury
A2 - Gruzdeva, Tatiana
A2 - Orlov, Andrei
PB - Springer Science and Business Media Deutschland GmbH
T2 - 20th International Conference on Mathematical Optimization Theory and Operations Research , MOTOR 2021
Y2 - 5 July 2021 through 10 July 2021
ER -
ID: 34339624