摘要
在瑞雷面波勘探中,根据频散曲线反演地下介质模型的问题仍未完善解决。遗传算法(Genic Algorithm)作为一种全局性搜索方法,具有不依赖初始模型,不需要偏导数等优点。通过理论模型试验研究,发现遗传算法反演频散曲线的效果优于最小二乘法、广义逆算法,并结合工程实例探讨了遗传算法在瑞雷面波勘探中的实际应用效果。结果表明,遗传算法反演频散曲线的效果理想,具有一定的发展前景。
It is still a big problem in Rayleigh wave exploration to get underground medium parameters by inversing dispersion curve.Genetic Algorithm is global optimization algorithm.This method does not lay on the initial model and does not require partial derivatives.After studying models,the paper concludes Genetic Algorithm is superior to generalized counter algorithm and the least squares method.Also,the method proposed has been applied to Genetic Rayleigh wave exploration example.The result indicates that Genetic Algorithm has good applicable effects.
出处
《物探化探计算技术》
CAS
CSCD
2010年第5期508-513,共6页
Computing Techniques For Geophysical and Geochemical Exploration
关键词
瑞雷面波勘探
遗传算法
反演
rayleigh wave exploration
genetic algorithm
inversion
