Michail Maslyaev

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Solver-Based Fitness Function for the Data-Driven Evolutionary Discovery of Partial Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

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

[BibT_eX]

[DOI]

J. Comput. Sci., 2021

Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning.

[BibT_eX]

[DOI]

Alexander Boukhanovsky

Entropy, 2021

Model-Agnostic Multi-objective Approach for the Evolutionary Discovery of Mathematical Models.

[BibT_eX]

[DOI]

Proceedings of the Optimization, Learning Algorithms and Applications, 2021

Multi-Objective Discovery of PDE Systems Using Evolutionary Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2020, 2020

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

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Data-driven PDE discovery with evolutionary approach.

[BibT_eX]

[DOI]

Michail Maslyaev

CoRR, 2019

Data-Driven Partial Derivative Equations Discovery with Evolutionary Approach.

[BibT_eX]

[DOI]