Geodesic
Parallel global optimization methods for identification of the dynamic balance normative model of regional economy
Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematičeskoe modelirovanie i programmirovanie, no. 9 (2011), pp. 4-15

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Constructed in Dorodnicyn Computing Center of the Russian Academy of Sciences dynamic models of regional economy contain a lot of unknown parameters. It is possible to identify them by minimization of nonlinear criteria of affinity for calculated and statistical data. In this paper a parallel index method of global optimization developed in Nizhny Novgorod State University is applied for that. The method uses a reduction of dimension on the basis of Peano curves and the information-statistical approach added with different updating.
Keywords: identification of mathematical model, regional economy, global optimization, index approach, local-global strategy, parallel algorithms. 
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     title = {Parallel global optimization methods for identification of the dynamic balance normative model of regional economy},
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V. P. Gergel; V. A. Gorbachev; N. N. Olenev; V. V. Ryabov; S. V. Sidorov. Parallel global optimization methods for identification of the dynamic balance normative model of regional economy. Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematičeskoe modelirovanie i programmirovanie, no. 9 (2011), pp. 4-15. http://geodesic.mathdoc.fr/item/VYURU_2011_9_a0/