Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation. - Alexander Hvatov; Nikolay O. Nikitin; Anna V. Kalyuzhnaya; Sergey S. Kosukhin (CoRR, 2018)

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 (GECCO (Companion), 2019)

Data-Driven Partial Derivative Equations Discovery with Evolutionary Approach. - Mikhail Maslyaev; Alexander Hvatov; Anna V. Kalyuzhnaya (ICCS (5), 2019)

Data-driven PDE discovery with evolutionary approach. - Michail Maslyaev; Alexander Hvatov; Anna V. Kalyuzhnaya (CoRR, 2019)

The data-driven physical-based equations discovery using evolutionary approach. - Alexander Hvatov; Mikhail Maslyaev (GECCO Companion, 2020)

Automatic evolutionary learning of composite models with knowledge enrichment. - Anna V. Kalyuzhnaya; Nikolay O. Nikitin; Pavel Vychuzhanin; Alexander Hvatov; Alexander Boukhanovsky (GECCO Companion, 2020)

Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data. - Mikhail Maslyaev; Alexander Hvatov; Anna V. Kalyuzhnaya (ICCS (2), 2020)

Multi-Objective Discovery of PDE Systems Using Evolutionary Approach. - Mikhail Maslyaev; Alexander Hvatov (CEC, 2021)

Generative design of microfluidic channel geometry using evolutionary approach. - Nikolay O. Nikitin; Alexander Hvatov; Iana S. Polonskaia; Anna V. Kalyuzhnaya; Georgii V. Grigorev; Xiaohao Wang; Xiang Qian (GECCO Companion, 2021)

Model-Agnostic Multi-objective Approach for the Evolutionary Discovery of Mathematical Models. - Alexander Hvatov; Mikhail Maslyaev; Iana S. Polonskaya; Mikhail Sarafanov; Mark Merezhnikov; Nikolay O. Nikitin (OL2A, 2021)

Partial differential equation solver based on optimization methods. - Alexander Hvatov (CoRR, 2021)

Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning. - Anna V. Kalyuzhnaya; Nikolay O. Nikitin; Alexander Hvatov; Mikhail Maslyaev; Mikhail Yachmenkov; Alexander Boukhanovsky (Entropy, 2021)

Partial differential equations discovery with EPDE framework: Application for real and synthetic data. - Mikhail Maslyaev; Alexander Hvatov; Anna V. Kalyuzhnaya (J. Comput. Sci., 2021)

Solver-Based Fitness Function for the Data-Driven Evolutionary Discovery of Partial Differential Equations. - Mikhail Maslyaev; Alexander Hvatov (CEC, 2022)

Data-Driven Approach for the Floquet Propagator Inverse Problem Solution. - Alexander Hvatov (ICASSP, 2022)

On a Structure of an Automated Differential Equation Solver Based on Machine Learning Methods. - Damir Aminev; Nikita Demyanchuk; Alexander Hvatov (ISDA (1), 2022)

Automated differential equation solver based on the parametric approximation optimization. - Alexander Hvatov; Tatiana Tikhonova (CoRR, 2022)

On the balance between the training time and interpretability of neural ODE for time series modelling. - Yakov Golovanev; Alexander Hvatov (CoRR, 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)

Directed Differential Equation Discovery Using Modified Mutation and Cross-Over Operators. - Elizaveta Ivanchik; Alexander Hvatov (CEC, 2023)

Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery. - Mikhail Maslyaev; Alexander Hvatov (GECCO Companion, 2023)

Towards true discovery of the differential equations. - Alexander Hvatov; Roman V. Titov (CoRR, 2023)

Towards stable real-world equation discovery with assessing differentiating quality influence. - Mikhail Masliaev; Ilya Markov; Alexander Hvatov (CoRR, 2023)

Differential Equation Discovery of Robotic Swarm as Active Matter. - Roman V. Titov; Alexander Hvatov (DS (1), 2024)

Evolutionary Optimization for Inverse Problem in Engineering: The Case Study of Defects Shape Reconstruction. - Gleb V. Solovev; Alexander Hvatov; Oleg Petrov; Anna V. Kalyuzhnaya; Alexandra Klimova; Nikolay O. Nikitin (OL2A (2), 2024)

Knowledge-aware differential equation discovery with automated background knowledge extraction. - Elizaveta Ivanchik; Alexander Hvatov (Inf. Sci., 2025)

Knowledge-aware equation discovery with automated background knowledge extraction. - Elizaveta Ivanchik; Alexander Hvatov (CoRR, 2025)

Equation discovery framework EPDE: Towards a better equation discovery. - Mikhail Maslyaev; Alexander Hvatov (CoRR, 2025)