A multi-objective approach for location and layout optimization of wave energy converters

A Shadmani, MR Nikoo, T Etri, AH Gandomi - Applied Energy, 2023 - Elsevier
Abstract Wave Energy Converters (WECs) have been increasingly installed in various
coastal regions due to the higher energy density of waves than other renewable sources …

Partial differential equations discovery with EPDE framework: Application for real and synthetic data

M Maslyaev, A Hvatov, AV Kalyuzhnaya - Journal of Computational Science, 2021 - Elsevier
Data-driven methods provide model creation tools for systems where the application of
conventional analytical methods is restrained. The proposed method involves the data …

Towards generative design of computationally efficient mathematical models with evolutionary learning

AV Kalyuzhnaya, NO Nikitin, A Hvatov, M Maslyaev… - Entropy, 2020 - mdpi.com
In this paper, we describe the concept of generative design approach applied to the
automated evolutionary learning of mathematical models in a computationally efficient way …

The data-driven physical-based equations discovery using evolutionary approach

A Hvatov, M Maslyaev - Proceedings of the 2020 Genetic and …, 2020 - dl.acm.org
The modern machine learning methods allow one to obtain the data-driven models in
various ways. However, the more complex the model is, the harder it is to interpret. In the …

Surrogate-assisted performance prediction for data-driven knowledge discovery algorithms: Application to evolutionary modeling of clinical pathways

AA Funkner, AN Yakovlev, SV Kovalchuk - Journal of Computational …, 2022 - Elsevier
The paper proposes and investigates an approach for surrogate-assisted performance
prediction of data-driven knowledge discovery algorithms. The approach is based on the …

[图书][B] Solving Computationally Expensive Problems Using Surrogate-Assisted Optimization: Methods and Applications

J Blank - 2022 - search.proquest.com
Optimization is omnipresent in many research areas and has become a critical component
across industries. However, while researchers often focus on a theoretical analysis or …

[PDF][PDF] COIN Report Number 2022005

J Blank - 2022 - egr.msu.edu
Optimization is omnipresent in many research areas and has become a critical component
across industries. However, while researchers often focus on a theoretical analysis or …

[PDF][PDF] «Геомеханическое обоснование процессов деформации техногенно нарушенного горного массива на примере Хибинских апатит-нефелиновых …

АП Господариков, У звание Профессор - spmi.ru
Геомеханический мониторинг напряженного состояния массива горных пород (далее
МГП)–это активно развивающийся раздел геомеханики, в котором на данный момент …

ТЕХНОЛОГИИ ПРИКЛАДНОГО ИСКУСCТВЕННОГО ИНТЕЛЛЕКТА В ЗАДАЧАХ ЧИСЛЕННОГО МОДЕЛИРОВАНИЯ ПРОЦЕССОВ В ОКЕАНЕ

АВ Калюжная, НО Никитин, ПВ Вычужанин… - Комплексные …, 2020 - elibrary.ru
Современные исследования процессов океана и атмосферы в значительной мере
опираются на богатый задел в области численного гидродинамического и …

[PDF][PDF] The data-driven physical-based equations discovery using evolutionary approach

M Maslyaev, A Hvatov - 2020 - human-competitive.org
The modern machine learning methods allow one to obtain the datadriven models in various
ways. However, the more complex the model is, the harder it is to interpret. In the paper, we …