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Applied Computational Intelligence and Soft Computing
Volume 2014 (2014), Article ID 971894, 7 pages
http://dx.doi.org/10.1155/2014/971894
Research Article

Application of DEO Method to Solving Fuzzy Multiobjective Optimal Control Problem

Azerbaijan State Oil Academy, Azadlyg avenue, 20, Baku Az1010, Azerbaijan

Received 29 November 2013; Revised 27 January 2014; Accepted 27 January 2014; Published 27 February 2014

Academic Editor: Francesco Carlo Morabito

Copyright © 2014 Latafat A. Gardashova. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In the present paper a problem of optimal control for a single-product dynamical macroeconomic model is considered. In this model gross domestic product is divided into productive consumption, gross investment, and nonproductive consumption. The model is described by a fuzzy differential equation (FDE) to take into account imprecision inherent in the dynamics that may be naturally conditioned by influence of various external factors, unforeseen contingencies of future, and so forth. The considered problems are characterized by four criteria and by several important aspects. On one hand, the problem is complicated by the presence of fuzzy uncertainty as a result of a natural imprecision inherent in information about dynamics of real-world systems. On the other hand, the number of the criteria is not small and most of them are integral criteria. Due to the above mentioned aspects, solving the considered problem by using convolution of criteria into one criterion would lead to loss of information and also would be counterintuitive and complex. We applied DEO (differential evolution optimization) method to solve the considered problem.