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

Authors

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

DOI:

https://doi.org/10.29020/nybg.ejpam.v12i4.3564

Abstract

In this paper, it is a question of identification of the parameters in the equation of
Richards 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.

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Published

2019-10-31

Issue

Section

Nonlinear Analysis

How to Cite

Identification of Parameters of Richards Equation Using Modified Hybrid Grey Wolf Optimizer-Genetic Algorithm (HmGWOGA). (2019). European Journal of Pure and Applied Mathematics, 12(4), 1567-1583. https://doi.org/10.29020/nybg.ejpam.v12i4.3564