Inversion of Rayleigh wave dispersion curves based on the improved sparrow search algorithm

SUN Xu; JI Zi-Qi; YANG Qing-Yi; LIU Bo-Zheng

doi:10.11720/wtyht.2022.1486

2022 Vol. 46, No. 5

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Article navigation > Geophysical and Geochemical Exploration > 2022 > 46(5): 1267-1275

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SUN Xu, JI Zi-Qi, YANG Qing-Yi, LIU Bo-Zheng. 2022. Inversion of Rayleigh wave dispersion curves based on the improved sparrow search algorithm. Geophysical and Geochemical Exploration, 46(5): 1267-1275. doi: 10.11720/wtyht.2022.1486

Citation:

SUN Xu, JI Zi-Qi, YANG Qing-Yi, LIU Bo-Zheng. 2022. Inversion of Rayleigh wave dispersion curves based on the improved sparrow search algorithm. Geophysical and Geochemical Exploration, 46(5): 1267-1275. doi: 10.11720/wtyht.2022.1486

Inversion of Rayleigh wave dispersion curves based on the improved sparrow search algorithm

1. Shandong Electric Power Engineering Consulting Institute Co.,Ltd.,Jinan 250014,China；
2. Institute of Geophysics & Geomatics,China University of Geosciences (Wuhan),Wuhan 430074,China

Received Date: 07 September 2021

Revised Date: 20 October 2022

Publish Date: 03 January 2023

Abstract

Abstract

Nonlinear optimization algorithms can be used to conduct a global search for the optimal solutions within a given parameter range, inherently making them highly competent in performing a global search and escaping from local extrema.In this study,an emerging nonlinear optimization algorithm-the sparrow search algorithm (SSA) was introduced for the inversion of Rayleigh wave dispersion curves.To address the problems of multiple parameters and local extrema, adaptive t-distribution was introduced.The data acquired from the inversion experiment of three theoretical models indicate that the improved SSA has high inversion accuracy,stability,and resistance to random noise compared with the conventional SSA.Furthermore,the improved SSA can yield better performance than particle swarm optimization and differential evolution algorithm due to its capability to achieve a more reasonable balance between the early global search and late local search in the process of iteration.
- dispersion curve inversion /
- nonlinear optimization algorithm /
- sparrow search algorithm

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References

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