Wave impedance inversion in coalfield based on immune genetic algorithm

Conventional linear wave impedance inversion methods are greatly sensitive to the initial model and nonlinear inversion methods such as GA are easy to be trapped into local optimums. Here we papoose a new immune genetic algorithm (IGA) for wave impedance inversion. New operators such as immune mutation, immune selection, population recombination, chaos multiplication and immune renewal are defined and new strategy of dynamic adjustment of antibodies to meet large scale computation of wave impedance inversion put forward. The proposed IGA can overcome the disadvantages of GA on slow convergence, easy to premature, and low precision. The results show that the proposed algorithm is suitable for wave impedance inversion.