节点文献
重磁遗传算法三维反演中动态数组优化方法
THE OPTIMIZATION OF DYNAMIC ALLOCATION OF HIGH ORDER POINTERS IN 3D INVERSION OF GRAVITY AND MAGNETIC ANOMALIES WITH GENETIC ALGORITHMS
【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、有效的动态内存优化方法
【Abstract】 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.
【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;
【Key words】 D inversion of gravity and magnetic anomalies; genetic algorithm; regular rectangular solid elements; dynamic allocation; memory optimization;
【Key words】 D inversion of gravity and magnetic anomalies; genetic algorithm; regular rectangular solid elements; dynamic allocation; memory optimization;
【基金】 国家自然科学基金资助 (4 95 0 40 5 940 0 740 2 6)
- 【文献出处】 物探化探计算技术 ,Computing Techniques For Giophysical and Geochenical Exploration , 编辑部邮箱 ,2002年03期
- 【分类号】P631
- 【被引频次】21
- 【下载频次】244