Title :
Modelling the dynamics of the “Smarter Region”
Author :
Akopov, Andranik S. ; Beklaryan, Gayane L.
Author_Institution :
Dept. of Bus. Analytics, Nat. Res. Univ. "Higher Sch. of Econ.", Moscow, Russia
Abstract :
In this paper is presented a modern approach to designing the intelligent information system “Smarter Region” based on methods of system-dynamics and agent-based modeling. A novel CGE-model (computable general equilibrium model) of the region dynamics was developed for Krasnoyarsk Krai, Russia. Important direct and feedback relations were identified and implemented in the system. Agents in the model are branches of economics of the region and the government with its regulation policy. Using genetic optimization algorithm is solving complex optimization problem of the “Smarter Region”, which is related to maximization of the Gross Domestic Product (GDP).
Keywords :
economic indicators; financial data processing; genetic algorithms; government policies; information systems; multi-agent systems; CGE-model; GDP maximization; agent-based modeling; complex optimization problem; computable general equilibrium model; direct relation; dynamic modelling; economics; feedback relation; genetic optimization algorithm; government; gross domestic product maximization; intelligent information system; region dynamics; regulation policy; smarter region; system-dynamics; Economic indicators; Educational institutions; Medical services; Optimization; Sociology; Statistics; CGE models; Smarter Region; agent-based modeling; genetic algorithms; regional dynamics; system dynamic;
Conference_Titel :
Computational Intelligence for Financial Engineering & Economics (CIFEr), 2104 IEEE Conference on
Conference_Location :
London
DOI :
10.1109/CIFEr.2014.6924074
