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Comparative study of stochastic Nature Inspired Optimization Algorithms to estimate Shear wave velocity using Ground Rolls.
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 82nd EAGE Annual Conference & Exhibition, Oct 2021, Volume 2021, p.1 - 5
Abstract
This study uses the Ground Rolls (Rayleigh waves) contained in the synthetic dataset to generate the experimental fundamental mode dispersion curve using the phase-shift method. These experimental fundamental mode dispersion curve were later on inverted to obtain the 1 D shear wave velocity profiles using two meta-heuristic approaches, focused on the most widely used stochastic-based Nature-inspired optimization algorithms, namely the Particle Swarm optimization and Grey wolf Optimization algorithms. We choose to use the global search optimization algorithms for the inversion because they are independent of the initial model and provide the cost function’s global optimal solutions iteratively from a range of possible solutions. Comparing inversion results from PSO and GWO (standard and improved) variants yield errors of ∼4.3 % for layer 1, ∼4.5 % for layer 2, and ∼2.5% for the half-space.