基于遗传算法与单纯形法的激电测深一维层状介质的全局优化反演  

Global optimal inversion of one-dimensional laminar medium for excitation bathymetry based on genetic algorithm and simplex method

作　　者：汪强强 WANG Qiangqiang(China Railway First Survey and Design Institute Group Co.,Ltd.,Xi'an 710043,China)

机构地区：[1]中铁第一勘察设计院集团有限公司,西安710043

出　　处：《物探化探计算技术》2025年第2期232-240,共9页Computing Techniques For Geophysical and Geochemical Exploration

摘　　要：针对遗传算法易陷入局部最优等缺陷,笔者将单纯形法与遗传算法相结合,设计了一种全局优化算法。利用单纯形法对遗传算法的个体进行单纯形搜索,避免算法陷入局部最优,使得算法能够全局收敛。并采用全局优化算法对一维地电模型和实际电阻率测深曲线进行反演,求解精度高,验证了算法的有效性和可靠性。Aiming at the genetic algorithm;it is easy to fall into the local optimum and other defects;this paper combines the simplex method with the genetic algorithm to design a global optimization algorithm.The simplex method is used to carry out a simplex search on the individuals of the genetic algorithm to avoid the algorithm falling into the local optimum,so that the algorithm can converge globally.And the global optimization algorithm is used to invert the one-dimensional geoelectric model and the actual resistivity bathymetry curve.The accuracy of the solution is high,which verifies the effectiveness and reliability of the algorithm.

关 键 词：遗传算法 单纯形法 全局优化算法 激电测深 反演 

分 类 号：P631.3[天文地球—地质矿产勘探]