Title: Research on modified teaching-learning-based optimisation algorithm for estimating parameters of Van Genuchten equation

Authors: Fahui Gu; Ying Huang; Yue Liu

Addresses: School of Mathematics and Informatics, South China Agricultural University, Guangzhou 510006, China; School of Information Engineering, Jiangxi Applied Technology Vocational College, Ganzhou 341000, China ' Institute of Mathematical and Computer Sciences, Gannan Normal University, Ganzhou 341000, China ' School of Information Engineering, Jiangxi Applied Technology Vocational College, Ganzhou 341000, China

Abstract: In this paper, a modified teaching-learning-based optimisation (MTLBO) algorithm is proposed for estimating parameters of Van Genuchten equation. A self-adaptive mutation strategy is used to overcome local convergence of the teaching-learning-based optimisation (TLBO). The proposed method is applied to MATLAB test system and the simulation results are compared with other algorithms which verify the superiority of the proposed method. It shows that the MTLBO algorithm is an effective method for estimating parameters of Van Genuchten equation.

Keywords: Van Genuchten equation; VGE; modified teaching-learning-based optimisation algorithm; estimating parameters; self-adaptive mutation strategy.

DOI: 10.1504/IJCSE.2017.086011

International Journal of Computational Science and Engineering, 2017 Vol.15 No.1/2, pp.123 - 129

Received: 12 Jan 2016
Accepted: 31 Jul 2016
Published online: 21 Aug 2017 *

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