80 citations · 183 across the 13 of their papers we have counts for
5 papers · 1 filter
Generative Design of Physical Objects using Modular Framework
Nikita O. Starodubcev, Nikolay O. Nikitin, Konstantin G. Gavaza +3
In recent years generative design techniques have become firmly established in numerous applied fields, especially in engineering. These methods are demonstrating intensive growth…
Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks
Nikita O. Starodubcev, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
In the paper, a multi-objective evolutionary surrogate-assisted approach for the fast and effective generative design of coastal breakwaters is proposed. To approximate the computa…
Multi-Objective Evolutionary Design of Composite Data-Driven Models
Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin +2
In this paper, a multi-objective approach for the design of composite data-driven mathematical models is proposed. It allows automating the identification of graph-based heterogene…
REBEC: Robust Evolutionary-based Calibration Approach for the Numerical Wind Wave Model
Pavel Vychuzhanin, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
The adaptation of numerical wind wave models to the local time-spatial conditions is a problem that can be solved by using various calibration techniques. However, the obtained set…
Data-driven PDE discovery with evolutionary approach
Michail Maslyaev, Alexander Hvatov, Anna Kalyuzhnaya
The data-driven models allow one to define the model structure in cases when a priori information is not sufficient to build other types of models. The possible way to obtain physi…