摘要
遗传算法的收敛速度与模型参数初始搜索范围的划分精度有关.本文提出了在低精度的基础上开始迭代,在选代过程中逐步缩小搜索范围的改进措施.这种改进使得遗传算法的收敛速度和反演精度同时得到提高,并且又不增加模型空间的大小.一维地壳速度结构的反演计算结果表明方法是有效的.最后给出了实际应用中应采用的反演策略.
The convergence speed of Genetic Algorithms is related to the devision precision of original search scope of model parameters. The improvement has been put forward in this paper,which allows the iteration to begin at low precision, and reduces the search scope progressively in iteration. So that it makes the convergence speed of Genetic algorithms and inversion precision raise simultaneouslyin iteration, and does not extend the dimension of model parameters space. The inversed results of I -D crustal elocity structure has proved that the method is efficient. The tactics used in practice is also presented.
出处
《华北地震科学》
北大核心
1996年第2期22-28,共7页
North China Earthquake Sciences
关键词
地壳结构
地震反演
迭代法
Genetic inversion, Crustal velocity structure
