Inversion of Array Laterolog by Improved Difference Evolution
According to the problem of array laterolog inversion being affected by the given initial value, a new algorithm based on improved difference evolution inversion is proposed. The inversion of array laterolog response is transformed into an unconstrained nonlinear global optimization problem. Compared with improved differential evolution algorithm and differential evolution algorithm in 30 times randomly calculation, the results show that the searching optimization success rate of the improved algorithm reach to 93.3%, while the average evolutional generation decrease to 1/8 of the original, and the optimum fitness is also only half of the difference evolution inversion method. The results show that the improved difference evolution algorithm can meet the needs of electric logging inversion.