ALGORITHMIC PROCESSES AND LOGICAL SYSTEMS MODELING IN ANYLOGIC ENVIRONMENT TO OPTIMIZE COMPLEX SYSTEMS
##semicolon##
Keywords: Algorithmic Processes, Logical Systems Modeling, AnyLogic, Simulation Modeling, Optimization Techniques, Complex Systems.##article.abstract##
Abstract
This paper explores the application of algorithmic processes and logical systems
modeling in the AnyLogic environment to optimize complex systems, particularly in
the context of education. The study investigates various algorithmic approaches,
simulation techniques, and optimization strategies to enhance system performance and
decision-making. By analyzing different methodologies, this research aims to highlight
the significance of logical modeling and simulation in improving efficiency and
accuracy. Furthermore, it discusses the importance of integrating computational
algorithms to support intelligent decision-making and process automation.
##submission.citations##
References
1. Borshchev, A. (2013). The Big Book of Simulation Modeling: Multimethod
Modeling with AnyLogic 6. AnyLogic North America.
2. Law, A. M. (2014). Simulation Modeling and Analysis (5th ed.). McGraw-Hill
Education.
3. Banks, J., Carson, J. S., Nelson, B. L., & Nicol, D. M. (2010). Discrete-Event
System Simulation (5th ed.). Pearson.
4. Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a
Complex World. Irwin/McGraw-Hill.
5. Pidd, M. (2004). Computer Simulation in Management Science (5th ed.). John
Wiley & Sons
