Hybrid approach to the dynamic systems identification based on the self-configuring genetic programming algorithm and the differential evolution method-Reference-Cited by-同舟云学术

Hybrid approach to the dynamic systems identification based on the self-configuring genetic programming algorithm and the differential evolution method

Published:2021-02-01 Issue:1 Volume:1047 Page:012076
ISSN:1757-8981
Container-title:IOP Conference Series: Materials Science and Engineering
language:
Short-container-title:IOP Conf. Ser.: Mater. Sci. Eng.

Author:

Karaseva T S,Semenkina O E

Abstract

Abstract This paper considers a hybrid approach to the identification of dynamical systems based on a self-configuring genetic programming algorithm and a differential evolution method. The value of this approach is in the automatic determination of the order, structure and parameters of differential equation, i.e., a model of a dynamic system. The application of the differential evolution method can significantly increase the accuracy of the resulting model confirmed by the results of the experiments presented in this paper.

Publisher

IOP Publishing

Subject

General Medicine

Link

https://iopscience.iop.org/article/10.1088/1757-899X/1047/1/012076/pdf

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