Open AccessTime indicators of effective optimization algorithms in group load control modelling
Author(s) -
A.P. Dimitriev,
Руслан Иванович Баженов
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1019/1/012038
Subject(s) - genetic algorithm , computer science , group (periodic table) , set (abstract data type) , optimization algorithm , mathematical optimization , algorithm , control (management) , work (physics) , mathematics , artificial intelligence , engineering , mechanical engineering , chemistry , organic chemistry , programming language
The purpose of the work is to determine the optimal set of parameters of the genetic algorithm for optimization in the control model of the group load of electricity consumers taking into account time parameters. The analysis based on the approximation of empirical results is used as a research method. The results of two efficient algorithms used for optimization in this model are compared. Computational experiments were carried out and their results were processed, the location of efficiency of the parameters of the combined genetic algorithm was determined.