Bilevel Models for Socially Oriented Strategic Planning in the Natural Resources Sector

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

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.

Язык оригиналаанглийский
Название основной публикацииMathematical Optimization Theory and Operations Research
Подзаголовок основной публикацииRecent Trends - 20th International Conference, MOTOR 2021, Revised Selected Papers
РедакторыAlexander Strekalovsky, Yury Kochetov, Tatiana Gruzdeva, Andrei Orlov
ИздательSpringer Science and Business Media Deutschland GmbH
Страницы358-371
Число страниц14
ISBN (печатное издание)9783030864323
DOI
СостояниеОпубликовано - 2021
Событие20th International Conference on Mathematical Optimization Theory and Operations Research , MOTOR 2021 - Virtual, Online
Продолжительность: 5 июл 202110 июл 2021

Серия публикаций

НазваниеCommunications in Computer and Information Science
Том1476 CCIS
ISSN (печатное издание)1865-0929
ISSN (электронное издание)1865-0937

Конференция

Конференция20th International Conference on Mathematical Optimization Theory and Operations Research , MOTOR 2021
ГородVirtual, Online
Период05.07.202110.07.2021

Предметные области OECD FOS+WOS

  • 1.01 МАТЕМАТИКА
  • 1.02 КОМПЬЮТЕРНЫЕ И ИНФОРМАЦИОННЫЕ НАУКИ

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