MODELING ALGORITHMIC PROCESSES AND LOGICAL SYSTEMS IN THE ANYLOGIC ENVIRONMENT FOR OPTIMIZING COMPLEX SYSTEMS

Abstract

This article examines the capabilities of the AnyLogic software environment in the analysis and optimization of complex systems. The AnyLogic platform is an effective tool for developing agent-based, discrete-event, and system-dynamic models, enabling algorithmic representation of real processes and simulation of their logical interrelations. The study analyzes the interaction among system elements, the efficiency of control algorithms, and methods for optimizing simulated processes. Additionally, based on the models developed in the AnyLogic environment, the stability of processes, resource utilization efficiency, and accuracy of results are evaluated.