Alexander Hvatov
Orcid: 0000-0002-5222-583X
According to our database1,
Alexander Hvatov
authored at least 23 papers
between 2018 and 2023.
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Bibliography
2023
Towards stable real-world equation discovery with assessing differentiating quality influence.
CoRR, 2023
Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Directed Differential Equation Discovery Using Modified Mutation and Cross-Over Operators.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea.
Comput. Geosci., 2022
On the balance between the training time and interpretability of neural ODE for time series modelling.
CoRR, 2022
Automated differential equation solver based on the parametric approximation optimization.
CoRR, 2022
On a Structure of an Automated Differential Equation Solver Based on Machine Learning Methods.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Solver-Based Fitness Function for the Data-Driven Evolutionary Discovery of Partial Differential Equations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Partial differential equations discovery with EPDE framework: Application for real and synthetic data.
J. Comput. Sci., 2021
Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning.
Entropy, 2021
Model-Agnostic Multi-objective Approach for the Evolutionary Discovery of Mathematical Models.
Proceedings of the Optimization, Learning Algorithms and Applications, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data.
Proceedings of the Computational Science - ICCS 2020, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Proceedings of the Computational Science - ICCS 2019, 2019
Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
2018
CoRR, 2018