Application of immune genetic algorithm in wave impedance inversion
免疫遗传算法及其在波阻抗反演中的应用*

This paper proposed an improved immune genetic algorithm(IGA)and applied into wave impedance inversion. Defined an immune selection operator based on antibody inspirit and chroma and proposed non-consistent variation operator to accelerate global convergence. In IGA adjusted antibody size self-adaptively. The IGA was able to improve the problems of premature and local convergence in traditional nonlinear inversion methods. It is shown by theoretical model that IGA has high-precision and high-efficiency in wave impedance inversion. It is shown by practical data of Yangquan that the resolution of the inverted section is obviously higher than the seismic section and improves the continuity and detection capability of weak reflection. The improved IGA can be used in coal mine wave impedance inversion.