Modelling the dynamics of the “Smarter Region”

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).