IJPAM: Volume 71, No. 1 (2011)


Andranik Akopov$^1$, Levon Beklaryan$^2$
Business Analytics Department
Faculty of Business Informatics
National Research University - Higher
School of Economics Kirpichnaya Str. 33, 105679, Moscow, RUSSIA
$^2$Central Economics and Mathematics
Institute of Russian Academy of Science
Nachimovski Prosp., 47, 117418, Moscow, RUSSIA

Abstract. This research work deals with the problem formulation of control of complex organizational structures. The mechanism of functioning of such systems is described by example of a vertically integrated company (VIC). The problems of strategic and operative control of VIC are considered. The methods for solving such problems based on genetic algorithms and neural networks are suggested. A new iterative procedure for coordination of strategic and operative control goals based on the estimation of imbalance between shareholder value and net profit distributed for payment of dividends to shareholders is suggested. The considered system is a double criterion optimization problem with complex multiparameter restrictions.

Received: May 11, 2011

AMS Subject Classification: 93C40

Key Words and Phrases: adaptive control, intelligent systems, modelling of complex systems, genetic algorithms, system dynamics

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Source: International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2011
Volume: 71
Issue: 1