APPLICATION OF BAYESIAN OPTIMIZATION TO CENTROID MOMENT TENSOR INVERSION

Abstract

Bayesian optimization has attracted much attention in recent years as a promising method for black-box optimization problem. In this study, we introduced Bayesian optimization to the centroid moment tensor inversion, which is one of the black box optimization problems in seismology. Through a synthetic test simulating real earthquakes, the analysis using Bayesian optimization was able to reach a solution closer to the true with fewer trials than that using random search.