ALGORITHMIC PROCESSES AND LOGICAL SYSTEMS MODELING IN ANYLOGIC ENVIRONMENT TO OPTIMIZE COMPLEX SYSTEMS

Authors

  • Dilfuza Nishonova Author

Keywords:

Keywords: Algorithmic Processes, Logical Systems Modeling, AnyLogic, Simulation Modeling, Optimization Techniques, Complex Systems.

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. 

References

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

Published

2025-02-03

How to Cite

Dilfuza Nishonova. (2025). ALGORITHMIC PROCESSES AND LOGICAL SYSTEMS MODELING IN ANYLOGIC ENVIRONMENT TO OPTIMIZE COMPLEX SYSTEMS . Ta’lim Innovatsiyasi Va Integratsiyasi, 38(2), 54-60. https://journal-web.uz/index.php/06/article/view/713

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