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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

汪强强

物探化探计算技术2025,Vol.47Issue(2):232-240,9.
物探化探计算技术2025,Vol.47Issue(2):232-240,9.DOI:10.12474/wthtjs.20240311-0004

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

汪强强1

作者信息

  • 1. 中铁第一勘察设计院集团有限公司,西安 710043
  • 折叠

摘要

Abstract

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

Key words

genetic algorithm/simplex method/global optimization algorithm/excitation bathymetry/inversion

分类

地质学

引用本文复制引用

汪强强..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[J].物探化探计算技术,2025,47(2):232-240,9.

物探化探计算技术

1001-1749

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