Abstract:Geophysical inversion problem can be considered as a nonlinear optimization problem. The objective function commonly used in solution evaluation is nonlinear and multiextreme. The inversion methods based on local linearization are usually lost in local maximum values, and they seriously depend on the selection of initial model. The genetic algorithm is a global search one,which is hardly lost in local maximums and has less dependence on initial values. Disaster and comprehensive evaluation of multiple objective functions are introduced into the genetic algorithm. We performed the simultaneous inversions of PSwave velocities, and density of the layered elastic medium with horizontal and curved interfaces. It has been proved that the genetic algorithm is very effective on geophysical inversion and quite noise resistant.