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About one forecast model of stochastic programming based on time series and genetic algorithms

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7 Author(s)
Kerimov, A. ; Azerbaijan State Econ. Univ., Baku, Azerbaijan ; Abdul-zade, S. ; Azadova, M. ; Aliyeva, T.
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We consider the problem of forecasting of complex objects' state, which characteristics are functions of time, that reduces to the solution of stochastic programming with probabilistic constraints. We suggest an approach in which stochastic programming is analyzed by time series and genetic algorithms.

Published in:

Problems of Cybernetics and Informatics (PCI), 2012 IV International Conference

Date of Conference:

12-14 Sept. 2012