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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 proceedingConference contributionResearchpeer-review

Harvard

Lavlinskii, S, Panin, A & Plyasunov, A 2021, Bilevel Models for Socially Oriented Strategic Planning in the Natural Resources Sector. in A Strekalovsky, Y Kochetov, T Gruzdeva & A Orlov (eds), Mathematical Optimization Theory and Operations Research: Recent Trends - 20th International Conference, MOTOR 2021, Revised Selected Papers. Communications in Computer and Information Science, vol. 1476 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 358-371, 20th International Conference on Mathematical Optimization Theory and Operations Research , MOTOR 2021, Virtual, Online, 05.07.2021. https://doi.org/10.1007/978-3-030-86433-0_25

APA

Lavlinskii, S., Panin, A., & Plyasunov, A. (2021). Bilevel Models for Socially Oriented Strategic Planning in the Natural Resources Sector. In A. Strekalovsky, Y. Kochetov, T. Gruzdeva, & A. Orlov (Eds.), Mathematical Optimization Theory and Operations Research: Recent Trends - 20th International Conference, MOTOR 2021, Revised Selected Papers (pp. 358-371). (Communications in Computer and Information Science; Vol. 1476 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-86433-0_25

Vancouver

Lavlinskii S, Panin A, Plyasunov A. Bilevel Models for Socially Oriented Strategic Planning in the Natural Resources Sector. In Strekalovsky A, Kochetov Y, Gruzdeva T, Orlov A, editors, Mathematical Optimization Theory and Operations Research: Recent Trends - 20th International Conference, MOTOR 2021, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2021. p. 358-371. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-86433-0_25

Author

Lavlinskii, Sergey ; Panin, Artem ; Plyasunov, Alexander. / Bilevel Models for Socially Oriented Strategic Planning in the Natural Resources Sector. Mathematical Optimization Theory and Operations Research: Recent Trends - 20th International Conference, MOTOR 2021, Revised Selected Papers. editor / Alexander Strekalovsky ; Yury Kochetov ; Tatiana Gruzdeva ; Andrei Orlov. Springer Science and Business Media Deutschland GmbH, 2021. pp. 358-371 (Communications in Computer and Information Science).

BibTeX

@inproceedings{84f7b19e8e504ffb89882600d04b279b,
title = "Bilevel Models for Socially Oriented Strategic Planning in the Natural Resources Sector",
abstract = "This article continues the author{\textquoteright}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.",
keywords = "Bilevel mathematical programming problems, Stackelberg game, Stochastic local search, Strategic planning, Subsoil development program",
author = "Sergey Lavlinskii and Artem Panin and Alexander Plyasunov",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 20th International Conference on Mathematical Optimization Theory and Operations Research , MOTOR 2021 ; Conference date: 05-07-2021 Through 10-07-2021",
year = "2021",
doi = "10.1007/978-3-030-86433-0_25",
language = "English",
isbn = "9783030864323",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "358--371",
editor = "Alexander Strekalovsky and Yury Kochetov and Tatiana Gruzdeva and Andrei Orlov",
booktitle = "Mathematical Optimization Theory and Operations Research",
address = "Germany",

}

RIS

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