Abstract: At present, the development of foundation grouting reinforcement technology at home and abroad is relatively mature, but the evaluation of the effect of deep foundation grouting reinforcement is not deep enough, especially the lack of accurate identification of the morphology and distribution range of the grouted solid. The core of accurate identification of consolidation after grouting is the laminar inversion algorithm, but the traditional laminar inversion algorithms rely on the selection of a single initial model, which is easy to fall into the local optimal solution and cannot realize the accurate identification of consolidation after grouting. Aiming at the defects of traditional inversion algorithms, this paper designs a genetic algorithm based on the objective function model solving in the process of electromagnetic wave CT laminar inversion, and verifies it through numerical simulation and field test. The results show that (1) MPGA intelligent algorithm improves the performance of SGA intelligent algorithm and enhances the ability of the algorithm in global search and local search; (2) MPGA intelligent algorithm is better than SGA intelligent algorithm in the identification of solidified body after grouting, and MPGA intelligent algorithm has higher accuracy and stability in the process of inversion calculation. (3) The inversion effect of MPGA intelligent algorithm is remarkable, and it can accurately recognize the morphology and distribution range of the consolidated body after grouting, and the recognition effect of the consolidated body after grouting is significantly better than that of the traditional algorithms ART and SIRT.