Introducing Artificial Bee Colony Optimization to Invert Surface Wave Dispersion Curve

Surface waves have been used increasingly as an attractive tool to obtain near-surface shear wave velocity profiles. Inversion of Surface wave dispersion curves is demanding for most local-search methods due to its high nonlinearity and to its multimodality. Among many approaches which have been proposed for surface wave inversion so far, Intelligence Swarm algorithms effectively applied to solve it, and attempt to avoid trapping in local minima. In this paper, we proposed a new approach (Artificial Bee Colony ABC) to overcome above disadvantages. Bee algorithms form another class of algorithms which are closely related to the ant colony optimization. Bee algorithms are inspired by the foraging behavior of honey bees. To evaluate calculation efficiency and stability of ABC to inversion of surface wave data, we first inverted a broadband (1-30 Hz) synthetic dispersion curves from a simple model. After that we extended search space, added noise and ultimately limited the frequency band. Results from all synthetic data demonstrate that ABC can be used for quantitative analysis of Surface wave dispersion curves.