Inversion of surface wave dispersion curves is widely used to characterize the near surface. As the inverse problem is highly non-linear, robust and efficient global optimization strategies may be best suited to find the global minimum. Here, we introduce the Grey Wolf Optimization (GWO), a swarm intelligence technique for the inversion of Rayleigh-wave phase and group velocity dispersion curves. The performance of GWO in retrieving the S-wave velocity is illustrated on a near-surface model and the results have been compared to those obtained from a perturbation approach based on finite-element modelling.


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