Open AccessMeta-optimization of the parameters for the gravitational search algorithm in chemical kinetics problems
Author(s) -
L. V. Enikeeva,
Е. Н. Шварева,
D A Dubovtsev,
I. M. Gubaydullin
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 - 10.1088/1742-6596/2131/2/022005
Subject(s) - meta heuristic , mathematical optimization , algorithm , heuristic , genetic algorithm , meta optimization , process (computing) , computer science , selection (genetic algorithm) , optimization algorithm , optimization problem , mathematics , artificial intelligence , operating system
The paper considers the selection of the optimal parameters of the heuristic algorithm, which is used for mathematical modeling of the chemical-technological process. This adjustment of the algorithm parameters is called meta-optimization. The gravity search algorithm is used as a heuristic algorithm. Meta-optimization is performed by a genetic algorithm. The meta-optimization is tested on the problem of modeling the process of propane pre-reforming. It is shown that setting even one parameter of a heuristic algorithm is a time-consuming operation. The article presents the results of the numerical solution of the meta-optimization algorithm.