摘要
将地下场源划分成很多规则小单元 ,并且反演这些单元的物性变化是重磁反演 ,特别是三维反演的重要方向。在应用遗传算法进行该类反演过程中 ,隐含着数据量大时高维动态数据内存管理问题。为此 ,作者在本文中提出了简单。
To divide regularly the source region of underground into many rectangular solid elements and invert the physical properties of these elements is currently a main direction of geophysical exploration, especially in 3 D case. This paper presents an effective method to solve the hidden problems caused by dynamic allocating of high order pointers when the Genetic Algorithm is used for the inversions.
出处
《物探化探计算技术》
CAS
CSCD
2002年第3期240-245,共6页
Computing Techniques For Geophysical and Geochemical Exploration
基金
国家自然科学基金资助 (4 95 0 40 5 940 0 740 2 6)
关键词
重磁三维反演
遗传算法
规则单元
动态分配
内存优化
D inversion of gravity and magnetic anomalies
genetic algorithm
regular rectangular solid elements
dynamic allocation
memory optimization
