用退火遗传算法进行地震波阻抗反演

退火遗传算法是模拟退火算法(SA)和遗传算法(GA)相结合的优化算法。其主要思想是利用模拟退火算法中的热槽法(概率分布函数)产生GA的群体初值，这样可以避免产生一些无用的群体，其结果既节省计算机空间，又节省计算时间，并且最终容易得到最优解。SA和GA交替运行，对GA的每一演化代，用SA对其进行局部搜索来改进GA的性能。利用退火遗传算法对地震波阻抗进行反演，目标函数可以达到10^-5数量级，这就使退火遗传算法的非线性方法能够应用于地震波阻抗反演中。

Wave impedance inversion via annealing and genetic algorithm

Annealing and genetic algorithm is an optimized algorithm that integrate advantages of stimulated an- nealing (SA) and genetic algorithm (GA). The heat- bath method of SA is adopted to generate the initial colonies of GA, which helps avoid useless colonies, save computer memory and computing time, and ob- tain optimal solution. The SA and GA run alternate- ly. At each evolutionary generation, the SA is adopted to improve the local performance of the GA. The an- nealing and genetic algorithm can achieve an order of precision as high as 10~(-5) in wave impedance inversion.