*Proceeding Paper* **Neuro-Evolutionary Synthesis of Game Models of Control under Uncertainty Based on Distributed Computing Technology †**

**Vladimir A. Serov \*, Daria L. Popova, Pavel P. Rogalev and Anastasia V. Tararina**

Department of Applied Information Technologie, MIREA—Russian Technological University (RTU MIREA), Moscow 119454, Russia; pdl13@yandex.ru (D.L.P.); radugapp@mail.ru (P.P.R.); nharvard2013@gmail.com (A.V.T.) **\*** Correspondence: ser\_off@inbox.ru

† Presented at the 15th International Conference "Intelligent Systems" (INTELS'22), Moscow, Russia, 14–16 December 2022.

**Abstract:** 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.

**Keywords:** hierarchical coevolutionary algorithm; multi-criteria optimization under conflict and uncertainty; distributed computing; containerization; orchestration
