Shear-wave velocity (Vs) is commonly used in geophysical and environmental studies as one of important parameters to characterize near surface study. This parameter can be estimated via the inversion of Rayleigh waves dispersion curves. In this paper, regressive-regressive particle swarm optimization (RR-PSO) algorithm has been developed and used to invert Rayleigh waves dispersion. The algorithm was tested and applied for synthetics (a free-noise and a noise-added) and field data. The results show that RR-PSO is a fast inversion tool and robust toward noise which can precisely determine the lithology of survey field.

Original languageEnglish
Pages (from-to)735-741
Number of pages7
JournalContemporary Engineering Sciences
Issue number13-16
Publication statusPublished - 2016


  • Global optimization
  • RR-PSO
  • Rayleigh waves
  • Uncertainty analysis


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