INTEGRATION OF HYBRID SYSTEM ANALYSIS METHODS TO IMPROVE DECISION-MAKING EFFICIENCY
Keywords:
systems analysis, hybrid methods, decision making, optimization, control, algorithms, uncertainty, multivariable systemsAbstract
The article discusses the integration of hybrid methods of system analysis to improve the efficiency of decision-making under uncertainty and multiparameter constraints. Modern approaches to solving complex control and optimization problems are analyzed. The use of hybrid algorithms that combine classical and modern analysis methods, such as genetic algorithms, the Monte Carlo method, and neural networks is proposed. The use of these models allows improving the accuracy and stability of decisions, as well as reducing time and computational costs. The article discusses modern approaches to the integration of hybrid methods of system analysis and optimization algorithms
References
Deb, K. "Multi-Objective Optimization Using Evolutionary Algorithms." John Wiley & Sons, 2001.
Holland, J.H. "Adaptation in Natural and Artificial Systems." MIT Press, 1992.
Kennedy, J., Eberhart, R. "Particle Swarm Optimization." IEEE International Conference on Neural Networks, 1995.
Zitzler, E., Laumanns, M., Thiele, L. "SPEA2: Improving the Strength Pareto Evolutionary Algorithm." Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, 2002.
Kozlov V. N., Systems analysis, optimization and decision making: textbook / V. N. Kozlov. - St. Petersburg: Publishing house of the Polytechnic University, 2011. - 244 p.(in Russian)
Petrov, S. G. Optimization of decision-making processes in multiparameter systems. SPb.: SPbSU, 2019. (in Russian)
Johnson, M. & Anderson, P. Hybrid Methods for Decision-Making in Uncertain Systems. Journal of Optimization, 2021.
Wang, T. et al. A Review on Hybrid Optimization Algorithms. IEEE Transactions on Systems, Man, and Cybernetics, 2020.
Martinez, F. Monte Carlo Methods and Genetic Algorithms for Complex System Optimization. European Journal of Operational Research, 2019.
Atajonova S.B. Research of optimization of intelligent control system in technological processes// International scientific and practical conference dedicated to the Problems and solutions of efficient use of alternative energy sources” November 8, 2023
Additional Files
Published
How to Cite
License
Copyright (c) 2024 Махинур Хасанова, Saidaxon Atajanova
This work is licensed under a Creative Commons Attribution 4.0 International License.
