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A Hybrid Group Search Optimizer with Opposition-Based Learning and Differential Evolution Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Estimating Parameters of Van Genuchten Equation Based on Teaching-Learning-Based Optimization Algorithm

Authors : Fahui Gu, Kangshun Li, Lei Yang, Wei Li

Published in: Computational Intelligence and Intelligent Systems

Publisher: Springer Singapore

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Abstract

The Van Genuchten Equation (VGE) is used to describe the characteristic of soil water movement, but it is super-set, nonlinear and containing many unknown parameters. Using the traditional method to estimate the parameters of VGE often results in a high margin of error because of complication. The teaching-learning-based optimization (TLBO) is a new swarm intelligent optimization method for solving complex nonlinear models. In this paper, the solution program of TLBO is compiled and used to estimate parameters of the VGE. The results show that the estimate method by TLBO is more efficient and accurate. Consequently, TLBO can be used as a new method to estimate parameters of VGE.

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Metadata
Title
Estimating Parameters of Van Genuchten Equation Based on Teaching-Learning-Based Optimization Algorithm
Authors
Fahui Gu
Kangshun Li
Lei Yang
Wei Li
Copyright Year
2016
Publisher
Springer Singapore
Book
Computational Intelligence and Intelligent Systems

Print ISBN: 978-981-10-0355-4

Electronic ISBN: 978-981-10-0356-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-981-10-0356-1_35

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