Neuro-Evolutionary Synthesis of Game Models of Control under Uncertainty Based on Distributed Computing Technology

The methodology basic principles of the neuro-evolutionary synthesis of multi-object multi-criteria systems control models under conflict and uncertainty in real time are discussed. The proposed methodology includes the following main stages: a hierarchical optimization game model under conflict and...

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Bibliographic Details
Published in:Engineering proceedings 2023-07, Vol.33 (1), p.59
Main Authors: Vladimir A. Serov, Daria L. Popova, Pavel P. Rogalev, Anastasia V. Tararina
Format: Article
Language:English
Subjects:
containerization
distributed computing
hierarchical coevolutionary algorithm
multi-criteria optimization under conflict and uncertainty
orchestration
Online Access:Get full text
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Summary:The methodology basic principles of the neuro-evolutionary synthesis of multi-object multi-criteria systems control models under conflict and uncertainty in real time are discussed. The proposed methodology includes the following main stages: a hierarchical optimization game model under conflict and uncertainty development; a library development of hierarchical coevolutionary algorithms for multi-criteria optimization under conflict and uncertainty; software implementation of hierarchical coevolutionary algorithms library based on distributed computing technology; and game algorithms of control under uncertainty synthesis based on the technology of neural networks ensembles.
ISSN:2673-4591
DOI:10.3390/engproc2023033059