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Regional resources management by agent-based simulation

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Category: Economy and management

Last Updated on 02 October 2016

Published on 02 October 2016

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 Authors:

O.V.Prokhorov, Cand. Sc. (Tech.), Assoc. Prof., National Aerospace University “Kharkіv Aviation Institute”, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

V.P.Prokhorov, Cand. Sc. (Tech.), Senior Research Fellow , “Radio electronics and informatics” Science park, Kharkiv, Ukraine

A.O.Matiushko, National Aerospace University “Kharkіv Aviation Institute”, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Y.A.Kuznetsova, Cand. Sc. (Tech.), National Aerospace University “Kharkіv Aviation Institute”, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract:

Purpose. Efficiency of regional resource management improvement based on self-organization and adaptation in multi-agent systems in conditions of uncertainty and dynamic environment.

Methodology. The given research studies are based on using system analysis methods in order to choose the directions of modeling regional management processes; simulation modeling and theory of multi-agent systems for agent simulation model for regional resource management development.

Findings. Analysis of regional development management features and existing approaches and methods of analysis and decision making in this field was carried out. A structure of simulation agent model for regional resource management was designed.

Originality. Simulation agent model for regional resource management was developed, economical self-organization and collective adaptation of model elements with their own interests and decision making process were implemented, which allows flexible decentralized resource management planning in conditions of a dynamic environment.

Practical value. The designed model represents methodological basis for creating management decision making tools, which provides development planning and effective regional resource usage.

References / Список літератури

1. Lychkina, N.N., 2003. Simulation model of social-economic development of regions. In: National Simulation Society, 1st All-Russian research and practice conference IMMOD-2003. St-Petersburg, Russia, 23–24 October 2003. St-Petersburg, CNIITA.

Лычкина Н.Н. Имитационное моделирование социально-экономического развития регионов / Н.Н.Лычкина // Имитационное моделирование. Теория и практика: Сборник докладов первой всероссийской научно-практической конференции ИММОД-2003. – СПб.: ЦНИИТС, 2003. – Том 2. – С. 79–83.

2. Chirkunov, K.S., 2011. Agent simulation of territorial system development. Informatics and its applications, Vol. 5, No. 1, pp. 61–67.

Чиркунов К.С. Агентное моделирование развития территориальной системы / К.С.Чиркунов // Информатика и ее применения. – 2011. – Т. 5 – Вып. 1. – С. 61–67.

3. Zulkarnai, I.U., Bakhitova, R.Kh. and Akhynov, R.R., 2014. Conceptual scheme of an agent-oriented model system in the state finance field. Bulletin of Bashkir University, No. 2, pp. 480–485.

Зулькарнай И.У. Концептуальная схема системы агент-ориентированных моделей в области государственных финансов / И.У.Зулькарнай, Р.Х.Бахитова, Р.Р.Ахунов // Вестник Башкирского университета. – 2014. – № 2. – С. 480–485.

4. Valbuena, D., Verburg, P.H. and Bregt, A.K., 2008. A method to define a typology for agent-based analysis in regional land-use research. Agriculture, Ecosystems and Environment, Nо. 128, pp. 27–36.

5. Tsekeris, T. and Vogiatzoglou, K., 2011. Spatial agent-based modeling of household and firm location with endogenous transport costs. Netnomics, pp. 1–22.

6. Prokhorov, O.V., 2015. Intellectual system for regional resources management decision support. Radioelectronic and computer systems, No. 1 (71), pp. 110–114.

Прохоров А.В. Интеллектуальная система поддержки принятия решений по управлению региональными ресурсами / А.В.Прохоров, А.О.Матюшко // Науково-технічний журнал „Радіоелектронні і комп’ютерні системи‟. – 2015. – Т. 1. – № 1(71). – С. 110–114. 

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2016-09-26  1.46 MB  881

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