80 citations · 163 across the 14 of their papers we have counts for
6 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…
Model-agnostic multi-objective approach for the evolutionary discovery of mathematical models
Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya +3
In modern data science, it is often not enough to obtain only a data-driven model with a good prediction quality. On the contrary, it is more interesting to understand the properti…
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…
The multi-objective optimisation of breakwaters using evolutionary approach
Nikolay O. Nikitin, Iana S. Polonskaia, Anna V. Kalyuzhnaya +1
In engineering practice, it is often necessary to increase the effectiveness of existing protective constructions for ports and coasts (i. e. breakwaters) by extending their config…
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…