A Hierarchical Model of a Vector Nash Equilibrium Search in a Control Problem under Conflict and Uncertainty
Author:
Affiliation:
1. Department of Applied Information Technologie, MIREA—Russian Technological University (RTU MIREA), Moscow 119454, Russia
2. Department of Control Systems, Bauman Moscow State Technical University (BMSTU, Bauman MSTU), Moscow 105005, Russia
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/33/1/60/pdf
Reference6 articles.
1. Evolutionary Algorithms of Stable-Effective Compromises Search in Multi-object Control Problems;Gorodetskiy;Smart Electromechanical Systems,2019
2. Hierarchical Population Game Models of Machine Learning in Control Problems Under Conflict and Uncertainty;Gorodetskiy;Smart Electromechanical Systems,2022
3. Serov, V.A. (2021). Hierarchical Population Game Models of Coevolution in Multi-Criteria Optimization Problems under Uncertainty. Appl. Sci., 11.
4. A Coordinated Stable-Effective Compromises Based Methodology of Design and Control in Multi-object Systems;Gorodetskiy;Smart Electromechanical Systems,2019
5. A neuroevolutionary synthesis of coordinated stable-effective compromises in hierarchical systems under conflict and uncertainty;Serov;Procedia Comput. Sci.,2021
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Neuro-Evolutionary Synthesis of Game Models of Control under Uncertainty Based on Distributed Computing Technology;INTELS’22;2023-07-25
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