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On the application of genetic algorithms for approximating experimental data of paraffin thermal destruction

TitleOn the application of genetic algorithms for approximating experimental data of paraffin thermal destruction
AuthorsS. I. Mustafina1, A. A. Kornilova1, E. R. Gizzatova1
1National Research Mordovia State University
AnnotationThis work is dedicated to the development of a mathematical model for accurate approximation of experimental data describing the processes of paraffin thermal destruction. The main optimization tool used is the genetic algorithm, which effectively searches for solutions in complex multidimensional spaces without strict constraints on the form of the initial data. Two approaches are considered. The first is global approximation of the entire data set using the algebraic sum of three kinetic functions (third-order reaction, two-dimensional diffusion, and surface reaction). The second is element-wise optimization, where an individual parameter population is formed for each experimental point.
Keywordsgenetic algorithm, paraffin thermal destruction, experimental data approximation.
CitationMustafina S. I., Kornilova A. A., Gizzatova E. R. ''On the application of genetic algorithms for approximating experimental data of paraffin thermal destruction'' [Electronic resource]. Proceedings of the International Scientific Youth School-Seminar "Mathematical Modeling, Numerical Methods and Software complexes" named after E.V. Voskresensky (Saransk, July 29-31, 2025). Saransk: SVMO Publ, 2025. - pp. 196-200. Available at: https://conf.svmo.ru/files/2025/papers/paper39.pdf. - Date of access: 30.08.2025.