The power of dealing with matrix operations in MATLAB write this paper, the procedure of hybrid genetic algorithm has great advantages. Because of the characteristics: partly depending the primary estimation and having the global convergence, it can be used to solve different complex applications, such as the optimal design of projects, artificial intelli-gence,strategic system, geo-physical inversion and so on. Although the genetic algorithm is an efficient global-optimization method, from the simulation results the defaults of time-consuming and vain local-researching ability can be detected. But the conjugate gradient algorithm belongs to a non-heuristic global-optimization search method, with the characteristics of swift convergence, easily dumping into local extreme value and severely depending on the primary estimation. This essay adopts a hybrid genetic algorithm of geo-physical inversion, according to the properties of the genetic algorithm and the conjugate gradient algorithm. The method has the attributes of the global-convergence of the genetic algorithm and the swift convergence of the conjugate gradient. Finally in accordance with procedures to test simulation algorithm and analysis with examples to prove that the procedure has good practicability.
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