Application of evolutionary algorithms for innovative educational management in modern uncertain environments in conditions of dynamic complexity

Abstract

The paper addresses the limitations of traditional educational management in unstable and complex environments. It highlights the potential of evolutionary algorithms and hybrid intelligent systems for adaptive decision-making, forecasting, and optimization. The study proposes integrating genetic algorithms, swarm intelligence, and machine learning to enhance flexibility and resilience in modern digital education.