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遗传算法在磁异常反演中的应用
引用本文:侯俊胜,管志宁.遗传算法在磁异常反演中的应用[J].物探与化探,1996,20(3):202-208.
作者姓名:侯俊胜  管志宁
作者单位:中国地质大学
摘    要:遗传算法是一种约束随机优化方法。它与传统的确定性优化方法相比较,具有全局收敛,不计算目标函数偏导数等优点;与传统的随机优化方法相比较,具有搜索效率高以及隐含并行计算等优点。本文首先讨论了遗传算法的基本原理和迭加机算步骤,其次讨论了该方法在磁化强度约束反演问题中的应用效果。

关 键 词:遗传算法  磁异常  约束反演  应用效果
收稿时间:1995-04-12

THE APPLICATION OF GENETIC ALGORITHM TO MAGNETIC ANOMALY INVERSION
Hou Junsheng,Guan Zhining.THE APPLICATION OF GENETIC ALGORITHM TO MAGNETIC ANOMALY INVERSION[J].Geophysical and Geochemical Exploration,1996,20(3):202-208.
Authors:Hou Junsheng  Guan Zhining
Institution:China University of Geosciences, Beijing 100083
Abstract:Genetic algorithm is a constrained stochastic optimization method. Compared with traditional deterministic optimization method, it has the merits of realizing overall convergence with no need of calculating partial derivatives of objective functions; compared with traditional stochastic optimization method, it has the advantages of high search efficiency and implication parallel calculation. The present paper deals with the basic principles of genetic algorithm and procedures of iterative calculation, followed by a discussion on the application results of this method in the constrained inverse problem of magnetic intensity.
Keywords:genetic algorithm  magnetic anomaly  constrained inversion  application result  
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