Хватов Александр Александрович

Статья

Titov R., Hvatov A. Differential equation discovery of robotic swarm as active matter. Discovery Science Springer LNCS series. 2024. Vol. 1. pp. n.

Статья

Ivanchik E., Hvatov A. Directed differential equation discovery using modified mutation and cross-over operators. IEEE Congress on Evolutionary Computation, CEC 2023. 2023. pp. 1-10.

Статья

Aminev D., Demyanchuk N., Hvatov A. On a Structure of an Automated Differential Equation Solver Based on Machine Learning Methods. Lecture Notes in Networks and Systems. 2023. Vol. 646. pp. 438–447.

Статья

Хватов А.А., Титов Р.В. О задаче устойчивого поиска дифференциальных уравнений. Доклады Российской академии наук. Математика, информатика, процессы управления. 2023. Т. 514. № 2. С. 109-117.

Статья

Borisova J., Titov R., Shakhkyan K., Hvatov A. Forecasting of Sea Ice Concentration using CNN, PDE discovery and Bayesian Networks. Procedia Computer Science. 2023. Vol. 229. pp. 177-187.

Статья

Maslyaev M., Hvatov A. Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery. GECCO 2023 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2023. pp. 603–606.

Статья

Klimova A., Nasonov D., Hvatov A., Nikitin N.O., Ivanov S.V., Kalyuzhnaya A.V., Boukhanovsky A. Strategic Trends in Artificial Intelligence Through Impact of Computational Science: What Young Scientists Should Expect. Procedia Computer Science. 2023. Vol. 229. pp. 1-7.

Статья

Manconi E., Hvatov A., Sorokin S. Numerical Analysis of Vibration Attenuation and Bandgaps in Radially Periodic Plates. Journal of Vibration Engineering and Technologies. 2023. Vol. 11. No. 6. pp. 2593-2603.

Статья

Hvatov A. Automated differential equation solver based on the parametric approximation optimization. Mathematics. 2023. Vol. 11. No. 8. pp. 1787.

Учебник, учебное пособие

Современные методы оптимизации с примерами на Python

Статья

Hvatov A., Sorokin S. On Unified Formulation of Floquet Propagator in Cartesian and Polar Coordinates. Mechanisms and Machine Science. 2023. Vol. 125. pp. 713-724.

Статья

Maslyaev M., Hvatov A. Multiobjective evolutionary discovery of equation-based analytical models for dynamical systems. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2023. Vol. 23. No. 1(143). pp. 97-104.

Статья

Hvatov A., Sorokin S.V. A simple example of the tunnelling effect in periodic elastic structures. European Journal of Mechanics - A/Solids. 2023. Vol. 100. pp. 104807.

Статья

Hvatov A., Titov R.V. Towards Discovery of the Differential Equations. Doklady Mathematics. 2023. Vol. 108. No. 2. pp. S257-S264.

Статья

Bykov N., Hvatov A., Andreeva T., Lukin A.Y., Maslyaev M., Obraztsov N.V., Surov A.V., Boukhanovsky A.V. . Methods for a Partial Differential Equation Discovery: Application to Physical and Engineering Problems. Moscow University Physics Bulletin. 2023. Vol. 78. No. Suppl.1. pp. S256-S265.

Статья

Nikitin N.O., Revin I., Hvatov A., Vychuzhanin P., Kalyuzhnaya A.V. Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea. Computers and Geosciences. 2022. Vol. 161. pp. 105061.

Статья

Schvartsberg J., Hvatov A. Discovery of multivariable algebraic expressions using evolutionary optimization. Procedia Computer Science. 2022. Vol. 212. pp. 230-242.

Статья

Maslyaev M., Hvatov A. Solver-Based Fitness Function for the Data-Driven Evolutionary Discovery of Partial Differential Equations. IEEE Congress on Evolutionary Computation, CEC 2022. 2022. pp. 1-8.

Статья

Bykov N., Obraztsov N.V., Hvatov A., Maslyaev M., Surov A.V. Hybrid modeling of gas-dynamic processes in AC plasma torches. Физика и механика материалов = Materials Physics and Mechanics. 2022. Vol. 50. No. 2. pp. 287-303.

Статья

Hvatov A. Data-Driven Approach for the Floquet Propagator Inverse Problem Solution. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2022. pp. 3813-3817.

Статья

Шахкян К.А., Литвинцева А.В., Титов Р.В., Хватов А.А. Искусcтвенный интеллект в науке и бизнесе: два полушария одного мозга. XIV Санкт-Петербургский конгресс "Профессиональное образование, наука и инновации в XXI веке": сборник материалов (СПб, 29ноября-1декабря 2022г.). 2022. С. 235-237.

Статья

Rezaei A., Carcaterra A., Sorokin S.V., Hvatov A., Mezzani F. Propagation of waves in nonlocal-periodic systems. Journal of Sound and Vibration. 2021. Vol. 506. pp. 116156.

Статья

Быков Н.Ю., Хватов А.А., Калюжная А.В., Бухановский А.В. Метод восстановления моделей тепломассопереноса по пространственно-временным распределениям параметров. Письма в Журнал технической физики. 2021. Т. 47. № 24. С. 9-12.

Статья

Maslyaev M., Hvatov A. Multi-Objective Discovery of PDE Systems Using Evolutionary Approach. IEEE Congress on Evolutionary Computation, CEC 2021. 2021. pp. 596-603.

Статья

Bykov N., Hvatov A., Kalyuzhnaya A.V., Boukhanovsky A.V. A method of generative model design based on irregular data in application to heat transfer problems. Journal of Physics: Conference Series. 2021. Vol. 1959. No. 1. pp. 012012.

Статья

Merezhnikov M., Hvatov A. Multi-objective closed-form algebraic expressions discovery approach application to the synthetic time-series generation. Procedia Computer Science. 2021. Vol. 193. pp. 285-294.

Статья

Hvatov A., Maslyaev M., Polonskaia I.S., Sarafanov M.I., Merezhnikov M., Nikitin N.O. Model-Agnostic Multi-objective Approach for the Evolutionary Discovery of Mathematical Models. Communications in Computer and Information Science. 2021. Vol. 1488. pp. 72-85.

Статья

Maslyaev M., Hvatov A., Kalyuzhnaya A.V. Partial differential equations discovery with EPDE framework: Application for real and synthetic data (R). Journal of Computational Science. 2021. Vol. 53. pp. 101345.

Статья

Nikitin N.O., Hvatov A., Polonskaia I.S., Kalyuzhnaya A.V., Grigorev G., Wang X., Qian X. Generative design of microfluidic channel geometry using evolutionary approach. GECCO 2021 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2021. pp. 59-60.

Статья

Kalyuzhnaya A.V., Nikitin N.O., Hvatov A., Maslyaev M., Yachmenkov M., Boukhanovsky A.V. Towards generative design of computationally efficient mathematical models with evolutionary learning. Entropy. 2021. Vol. 23. No. 1. pp. 28.

Статья

Maslyaev M., Hvatov A., Kalyuzhnaya A. Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2020. Vol. 12138 LNCS. pp. 86-100.

Статья

Хватов А.А. Анализ бесконечной периодической структуры и ее конечной части с учетом слабой нелинейности. Ученые записки физического факультета МГУ. 2020. № 1. С. 2011201.

Статья

Hvatov A., Maslyaev M. The data-driven physical-based equations discovery using evolutionary approach. GECCO 2020 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2020. pp. 129–130.

Статья

Hvatov A., Sorokin S.V. Analysis of periodicity-induced attenuation effect in a nonlinear waveguide by means of the method of polynomial system resultants. Mechanics Research Communications. 2020. Vol. 103. pp. 103476.

Статья

Maslyaev M., Hvatov A., Kalyuzhnaya A.V. Discovery of the data-driven models of continuous metocean process in form of nonlinear ordinary differential equations. Procedia Computer Science. 2020. Vol. 178. pp. 18-26.

Статья

Merezhnikov M., Hvatov A. Closed-form algebraic expressions discovery using combined evolutionary optimization and sparse regression approach. Procedia Computer Science. 2020. Vol. 178. pp. 424-433.

Статья

Kaluzhnaya A.V., Nikitin N.O., Vychuzhanin P., Hvatov A., Boukhanovsky A.V. Automatic Evolutionary Learning of Composite Models With Knowledge Enrichment. GECCO 2020 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2020. pp. 43-44.

Статья

Калюжная А.В., Никитин Н.О., Вычужанин П.В., Хватов А.А. Технологии прикладного искусcтвенного интеллекта в задачах численного моделирования процессов в океане. Комплексные исследования Мирового океана: материалы V Всероссийской научной конференции молодых ученых (Калининград, 18-22мая 2020г.). 2020. С. 81-82.

Статья

Hvatov A., Sorokin S.V. Floquet theory analysis of a weakly non-linear periodic structure. COMPDYN Proceedings. 2019. Vol. 2. pp. 3457-3464.

Статья

Hvatov A., Sorokin S. Assessment of reduced-order models in analysis of Floquet modes in an infinite periodic elastic layer. Journal of Sound and Vibration. 2019. Vol. 440. pp. 332-345.

Статья

Maslyaev M., Hvatov A., Kalyuzhnaya A.V. Data-driven partial derivative equations discovery with evolutionary approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. Vol. 11540 LNCS. pp. 635-641.

Статья

Khvatov A.A., Nikitin N., Kaluzhnaya A.V., Kosukhin S.S. Adaptation of NEMO-LIM3 model for multigrid high-resolution Arctic simulation. Ocean Modelling. 2019. Vol. 141. pp. 101427.

Статья

Hvatov A. The symmetrical cell eigenfrequency method for periodic structure stop-band definition. Vibroengineering Procedia. 2019. Vol. 25. pp. 100-105.

Статья

Maslyaev M., Hvatov A. Discovery of the data-driven differential equation-based models of continuous metocean process. Procedia Computer Science. 2019. Vol. 156. pp. 367-376.

Тезисы

Обнаружение аномалий в результатах гидрометеорологического моделирования с использованием сверточных нейронных сетей

Статья

Nikitin N.O., Deeva I., Vychuzhanin P., Kalyuzhnaya A.V., Hvatov A., Kovalchuk S.V. Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study. GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. 2019. pp. 1583-1591.

Статья

Vychuzhanin P., Hvatov A., Kalyuzhnaya A.V. Anomalies Detection in Metocean Simulation Results Using Convolutional Neural Networks. Procedia Computer Science. 2018. Vol. 136. pp. 321-330.

Статья

Hvatov A., Sorokin S. On application of the Floquet theory for radially periodic membranes and plates. Journal of Sound and Vibration. 2018. Vol. 414. pp. 15-30.

Статья

Хватов А.А. Теория Флоке в анализе виброизоляции. Ученые записки физического факультета МГУ. 2017. № 5. С. 1751413.

Статья

Hvatov A., Sorokin S. Cylindrical waves in structures periodic in polar coordinates. 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2017. 2017. pp. 509-517.

Статья

Hvatov A., Sorokin S. Free vibrations of finite periodic structures in pass-and stop-bands of the counterpart infinite waveguides. Journal of Sound and Vibration. 2015. Vol. 347. pp. 200-217.

Статья

Хватов А.А. Analysis of eigenfrequencies of finite periodic structures in view of location of frequency pas-and stop-bands. Proceedings of 20th International Congress on Sound and Vibration. 2013. pp. 1-8.