ENTROPY METHOD AS A TOOL FOR OPTIMIZATION OF COMPLEX SYSTEMS
Abstract
The article is devoted to the study of the application of the entropy method for optimization of complex systems. The author discusses the basic principles of using entropy in analysis and planning, showing how this method can increase the efficiency and stability of complex dynamic systems. The article discusses the use
of mathematical models and analysis of entropy variations to assess the impact of entropy changes on the dynamics of the utility function growth in complex dynamic systems. It also discusses two approaches to system analysis — entropy minimization and ensemble method — to maximize utility and manage uncertainty in data. The article emphasizes the advantages of these methods in the context of real and incomplete data, and offers new opportunities for developing effective decision-making strategies in various fields, including the management of public projects and other complex systems.
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