Geodesic
Development of an agent-based demographic model of Russia and its supercomputer implementation
Numerical methods and programming, Tome 19 (2018) no. 4, pp. 368-378.

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The application of the agent-based modeling approach to the problem of natural human migration is considered. A demographic model of Russia is presented. This model takes into account the administrative division of Russia and simulates the processes of fertility, mortality and migration on the basis of modeling the behavior of individual members of the artificial society. In order to simulate the behavior of the artificial society as a whole, it is necessary to perform numerical experiments with the number of agents up to $10^9$ and to use supercomputer technologies. In such experiments, an important problem is the implementation of an optimal automatic distribution of agents across the cluster processors. The application of model decomposition using the METIS algorithm with consideration of the main features of the agent model is shown. The obtained numerical results are discussed.
Keywords: agent-based modeling, demography, supercomputing technologies, graph-based decomposition using METIS. 
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     author = {V. L. Makarov and A. R. Bahtizin and E. D. Sushko and G. B. Sushko},
     title = {Development of an agent-based demographic model of {Russia} and its supercomputer implementation},
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     url = {http://geodesic.mathdoc.fr/item/VMP_2018_19_4_a4/}
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V. L. Makarov; A. R. Bahtizin; E. D. Sushko; G. B. Sushko. Development of an agent-based demographic model of Russia and its supercomputer implementation. Numerical methods and programming, Tome 19 (2018) no. 4, pp. 368-378. http://geodesic.mathdoc.fr/item/VMP_2018_19_4_a4/