Inversion of Rayleigh wave dispersion curves based on antlion optimizer

Abstract

Inverting Rayleigh wave dispersion curves to obtain S-wave velocity profiles is one of the most important steps in near-surface Rayleigh wave exploration. Rayleigh wave inversion is a multi-extremum, nonlinear problem, and this paper introduces the antlion optimizer to solve this type of problem. The antlion optimizer is a swarm intelligence algorithm, which is a global optimizer that imitates the behavior of the antlion setting trap predation, which converges faster and reduces the effect of different parameter settings on the result. By using the antlion optimizer to invert the dispersion curve of the typical theoretical geological model, the inversion results show that the antlion optimizer can be applied to the inversion of the dispersion curve with high accuracy, and the advantages and practicality of the dispersion curve inversion based on the antlion optimizer are verified in the measured data compared with the traditional nonlinear methods.

Keywords

• rayleigh wave
• dispersion curve
• nonlinear algorithm
• antlion optimizer