Pavel Vychuzhanin

According to our database, Pavel Vychuzhanin authored at least 7 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea.

Nikolay O. Nikitin, Ilia Revin, Alexander Hvatov, Pavel Vychuzhanin, Anna V. Kalyuzhnaya

Comput. Geosci., 2022

Automated evolutionary approach for the design of composite machine learning pipelines.

Nikolay O. Nikitin, Pavel Vychuzhanin, Mikhail Sarafanov, Iana S. Polonskaia, Ilia Revin, Irina V. Barabanova, Gleb Maximov, Anna V. Kalyuzhnaya, Alexander Boukhanovsky

Future Gener. Comput. Syst., 2022

2021

Multi-Objective Evolutionary Design of Composite Data-Driven Models.

Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Automatic evolutionary learning of composite models with knowledge enrichment.

Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Alexander Boukhanovsky

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

REBEC: Robust Evolutionary-based Calibration Approach for the Numerical Wind Wave Model.

Pavel Vychuzhanin, Nikolay O. Nikitin, Anna V. Kalyuzhnaya

CoRR, 2019

Robust Ensemble-Based Evolutionary Calibration of the Numerical Wind Wave Model.

Pavel Vychuzhanin, Nikolay O. Nikitin, Anna V. Kalyuzhnaya

Proceedings of the Computational Science - ICCS 2019, 2019

Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study.

Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Irina Deeva, Anna V. Kalyuzhnaya, Sergey V. Kovalchuk

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019