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Application of Differential Evolution Cuckoo Search Algorithm in Parameter Optimization of VG Equation.

Authors :
Yuan, Bo
Chen, Deji
Source :
International Journal of Pattern Recognition & Artificial Intelligence. Jul2021, Vol. 35 Issue 9, p1-18. 18p.
Publication Year :
2021

Abstract

Van Genuchten (VG) equation is the most commonly used equation of soil moisture characteristic curve, and the accuracy of its parameters directly affects the calculation accuracy of soil moisture motion equation. In order to obtain the parameters of the equation more accurately, this paper establishes an optimization model of the VG equation parameters. This optimization model uses the advantages of the cuckoo search algorithm and the differential evolution algorithm to combine the two into a new hybrid cuckoo search algorithm, namely DECS algorithm, and uses this algorithm to solve the parameter optimization problem of VG equation of soil moisture characteristic curve. By collecting and analyzing the relevant experimental data of various soil qualities, the dehumidification and moisture absorption curves of three different soil qualities were selected for simulation calculation. The results show that in the experiment of solving the parameter estimation problem of the VG equation, the DECS hybrid algorithm has better exploration and development capabilities than the cuckoo search algorithm. The hybrid algorithm has relatively significant performance in terms of calculation accuracy and convergence. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02180014
Volume :
35
Issue :
9
Database :
Academic Search Index
Journal :
International Journal of Pattern Recognition & Artificial Intelligence
Publication Type :
Academic Journal
Accession number :
152093904
Full Text :
https://doi.org/10.1142/S0218001421590333