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Decomposition of Spectral Contour into Gaussian Bands using Improved Modification of Gender Genetic Algorithmтезисы доклада Тезисы
- Авторы: Kupriyanov G.A., Isaev I.V., Plastinin I.V., Dolenko T.A., Dolenko S.A.
- Сборник: The 7th International Conference on Deep Learning in Computational Physics (DLCP-2023), June 21-23, SPbSU, St.-Petersburg, Peterhof, Russia. Book of Abstracts
- Тезисы
- Год издания: 2023
- Место издания: SPbSU St.-Petersburg, Russia
- Первая страница: 8
- Последняя страница: 9
- Аннотация: One of the methods for analysis of complex spectral contours (especially for spectra of liquid objects) is their decomposition into a limited number of spectral bands with physically reasonable shapes (Gaussian, Lorentzian, Voigt etc.). Consequent analysis of the dependencies of the parameters of these bands on some external conditions in which the spectra are obtained may reveal some regularities bearing information about the physical processes taking place in the object.The problem with the required decomposition is that such decomposition in presence of noise in spectra is an incorrect inverse problem. Therefore, this problem is often solved by advanced optimization methods less subject to be stuck in local minima, such as genetic algorithms (GA).In the conventional version of GA, all individuals are similar regarding the probabilities and implementation of the main genetic operators (crossover and mutation) and the procedure of selection. In their preceding studies [1, 2], the authors tested gender GA (GGA), where the individuals of the two genders differ by the probability of mutation (higher for males) and by the procedures of selection for crossover (with the number of crossovers limited for females). In this study, we introduce additional differences between the genders in the procedures of selection and mutation. The improved modification of GGA is tested by comparison of the efficiency of gradient descent, conventional GA and two versions of GGA in solving the problems of decomposition of the Raman valence band of liquid water into Gaussian bands.
- Добавил в систему: Куприянов Гавриил Александрович