摘要

This paper analyzed the relationship between the model space, initial models, local minimization solutions, global minimization solution etc. in the geophysical inverse problem and the state space, particle state, stationary state, excited states, ground state etc. in the atomic transition based on the similarity of the procedure of iterative optimization for geophysical inverse problem and those for atomic transition. With analogizing the evolution process of atomic transition from excited states to ground state, we proposed a novel non-linear optimization algorithm for geophysical inverse problem, called as simulated atomic transition algorithm ( SATA). The synthetic tests show that the new SATA algorithm is superior to the conventional linear geophysical inverse methods without depending on the initial model, and superior to the conventional non-linear geophysical inversion methods with higher speed of convergence.