Self-Potential Inversion Using Genetic Algorithm

Abstract. A new technique is presented for automatic inversion of SP anomalies due to a polarized infinitely conductive simple geometrical source model structures, based on an artificial intelligence search strategy entitled genetic algorithm (GA) and the evolution theory. The genetic algorithm is used to find the minimum of fitness or cost func-tion of the unknown depth, polarization angle, and shape factor. The study of synthetic examples shows fast and stable recovery of the true parameters even if the input data contain different percentages of noise. The GA leads to very realistic values for the inverted parameters in all tested examples and the root-mean squared error (rms) between the true and inverted field is accepted. The technique is further applied to real examples from Germany and Turkey