Alexander Hvatov

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 29

Top Topics

Evolutionary Learning

Optimization Method

Differential Equations

Top Venues

GECCO Companion

GECCO (Companion)

Publications

Elizaveta Ivanchik, Alexander Hvatov
Directed differential equation discovery using modified mutation and cross-over operators. CoRR (2023)
Mikhail Maslyaev, Alexander Hvatov
Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery. GECCO Companion (2023)
Alexander Hvatov, Roman Titov
Towards true discovery of the differential equations. CoRR (2023)
Mikhail Masliaev, Ilya Markov, Alexander Hvatov
Towards stable real-world equation discovery with assessing differentiating quality influence. CoRR (2023)
Elizaveta Ivanchik, Alexander Hvatov
Directed Differential Equation Discovery Using Modified Mutation and Cross-Over Operators. CEC (2023)
Mikhail Maslyaev, Alexander Hvatov
Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery. CoRR (2023)
Damir Aminev, Nikita Demyanchuk, Alexander Hvatov
On a Structure of an Automated Differential Equation Solver Based on Machine Learning Methods. ISDA (1) (2022)
Yakov Golovanev, Alexander Hvatov
On the balance between the training time and interpretability of neural ODE for time series modelling. CoRR (2022)
Alexander Hvatov, Tatiana Tikhonova
Automated differential equation solver based on the parametric approximation optimization. CoRR (2022)
Alexander Hvatov
Data-Driven Approach for the Floquet Propagator Inverse Problem Solution. ICASSP (2022)
Nikolay O. Nikitin, Ilia Revin, Alexander Hvatov, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea. Comput. Geosci. 161 (2022)
Mikhail Maslyaev, Alexander Hvatov
Solver-Based Fitness Function for the Data-Driven Evolutionary Discovery of Partial Differential Equations. CEC (2022)
Alexander Hvatov
Partial differential equation solver based on optimization methods. CoRR (2021)
Nikolay O. Nikitin, Ilia Revin, Alexander Hvatov, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea. CoRR (2021)
Mikhail Maslyaev, Alexander Hvatov
Multi-objective discovery of PDE systems using evolutionary approach. CoRR (2021)
Mikhail Maslyaev, Alexander Hvatov
Multi-Objective Discovery of PDE Systems Using Evolutionary Approach. CEC (2021)
Mikhail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya
Partial differential equations discovery with EPDE framework: Application for real and synthetic data. J. Comput. Sci. 53 (2021)
Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya, Mikhail Sarafanov, Mark Merezhnikov, Nikolay O. Nikitin
Model-Agnostic Multi-objective Approach for the Evolutionary Discovery of Mathematical Models. OL2A (2021)
Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Alexander Hvatov, Mikhail Maslyaev, Mikhail Yachmenkov, Alexander Boukhanovsky
Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning. Entropy 23 (1) (2021)
Nikolay O. Nikitin, Alexander Hvatov, Iana S. Polonskaia, Anna V. Kalyuzhnaya, Georgii V. Grigorev, Xiaohao Wang, Xiang Qian
Generative design of microfluidic channel geometry using evolutionary approach. GECCO Companion (2021)
Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya, Mikhail Sarafanov, Mark Merezhnikov, Nikolay O. Nikitin
Model-agnostic multi-objective approach for the evolutionary discovery of mathematical models. CoRR (2021)
Alexander Hvatov, Mikhail Maslyaev
The data-driven physical-based equations discovery using evolutionary approach. GECCO Companion (2020)
Mikhail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya
Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data. ICCS (2) (2020)
Alexander Hvatov, Mikhail Maslyaev
The data-driven physical-based equations discovery using evolutionary approach. CoRR (2020)
Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Alexander Boukhanovsky
Automatic evolutionary learning of composite models with knowledge enrichment. GECCO Companion (2020)
Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Irina Deeva, Anna V. Kalyuzhnaya, Sergey V. Kovalchuk
Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study. GECCO (Companion) (2019)
Michail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya
Data-driven PDE discovery with evolutionary approach. CoRR (2019)
Mikhail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya
Data-Driven Partial Derivative Equations Discovery with Evolutionary Approach. ICCS (5) (2019)
Alexander Hvatov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Sergey S. Kosukhin
Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation. CoRR (2018)