MULTICRITERIA OPTIMIZATION ALGORITHMS FOR SUPPORTING DECISION-MAKING IN ECONOMIC SYSTEM MANAGEMENT

This article discusses the theoretical and applied aspects of using multicriteria optimization algorithms in managing economic systems. The emphasis is on the need to make management decisions in the face of multiple conflicting goals, uncertainty in the external environment and limited resources. The article describes the main concepts of multicriteria optimization, including the concept of Pareto optimality, scalarization methods, as well as evolutionary and metaheuristic algorithms used to find effective solutions. The areas of practical application of these algorithms in economics are presented: supply chain management, investment planning, production modeling, government regulation and the formation of decision support systems. Particular attention is paid to the integration of optimization methods into digital management platforms and system visualization of the Pareto front to support decision makers.