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)

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)

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)

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)

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

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