遗传优化反演方法是工程反演计算的一个重要发展方向,但是由于算法自身的局限性,导致基于单纯遗传算法的优化反演技术难以推广应用.在深入分析遗传算法特性的基础上,指出其相应的不足之处;基于此,引入神经网络算法与模拟退火算法,有机融合3种算法,扬长避短,提出了基于遗传操作的GNA优化反演新算法;算例表明,提出的融合优化反演方法计算效率高、计算精度可靠. However, due to the limitations of the algorithm itself, it is hard to popularize the optimization inversion technique based on the simple genetic algorithm.Based on the thorough analysis of the characteristics of the genetic algorithm, it is pointed out that the genetic algorithm The corresponding deficiencies; based on this, the introduction of neural network algorithm and simulated annealing algorithm, organic fusion of three kinds of algorithms, to avoid weaknesses, based on genetic algorithms GNA optimization inversion algorithm; example shows that the proposed fusion optimization inversion method High computational efficiency, reliable calculation.