Identification of Parameters of Richards Equation Using Modified Hybrid Grey Wolf Optimizer-Genetic Algorithm (HmGWOGA)

Author:

Sawadogo Wenddabo Olivier,Ouedraogo Pengdwende Ousseni Fabrice,So Ousseni,Barro Genevieve,Some Blaise

Abstract

In this paper, it is a question of identification of the parameters in the equation ofRichards modelling the flow in unsaturated porous medium. The mixed formulation pressure head-moisture content has been used. The direct problem was solved using Multiquadratic Radial Basis Function ( RBF-MQ ) method which is a meshless method. The Newton-Raphson’s method was used to linearize the equation. The function cost used is built by using the infiltration. The optimization method used is a meta-heuristic called Modified hybrid Grey Wolf Optimizer -Genetic Algorithm (HmGWOGA). A test on experimental data has been carried. We compared the results with genetic algorithms. The results showed that this new method was better than genetic algorithms.

Publisher

New York Business Global LLC

Subject

Applied Mathematics,Geometry and Topology,Numerical Analysis,Statistics and Probability,Algebra and Number Theory,Theoretical Computer Science

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1. Solving Second-Order Nonlinear Ordinary Differential Equations Based on Improved Genetic Algorithm;The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy;2021-11-03

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