An improved global optimization method and its application to the inversion of surface wave dispersion curves
一种改进的全局优化算法及其在面波频散曲线反演中的应用

In this paper, a combination strategy of Simulated Annealing (SA) and Genetic Algorithm (GA) is proposed. Simulation results shows that it can solve the problem of convergence prematurity of GA and raise efficiency of global optimization. When this method is used to inverse shear wave velocity profiles in situ with surface wave dispersion curves, computational efficiency is increased through reducing the searching range of models with the simplified strip method.