
Application of the genetic algorithm method in the problem of chemical kinetics of the oxidative regeneration process
Author(s) -
O. V. Dubinets,
I. M. Gubaydullin,
R. M. Uzyanbaev,
М. К. Вовденко,
I G Lapshin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2131/2/022007
Subject(s) - kinetics , inverse , regeneration (biology) , process (computing) , chemical kinetics , oxidative phosphorylation , computer science , biological system , chemistry , algorithm , biochemical engineering , mathematics , engineering , biology , biochemistry , physics , genetics , geometry , quantum mechanics , operating system
Annotation. One of the main problems in chemical kinetics is the establishment of the mechanisms of complex chemical reactions. The inverse problem of chemical kinetics is understood as the determination of the dependence of the concentration of the participating components on the basis of experimental data obtained from a laboratory installation for the oxidative regeneration of coked catalysts. One of the main methods used in inverse problems the genetic algorithm. The algorithms considered in the article make it possible to determine the values of the rate constants of the considered chemical stages.