A study of parameter inversion of blasting vibration badsed on compositely genetic algorithm

WEN Jian-hua; LI Xin-ping; ZHANG Wen-cheng; SONG Gui-hong; LU Zhi-peng; JIANG Jie

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A study of parameter inversion of blasting vibration badsed on compositely genetic algorithm

更新时间：2026-06-25

- A study of parameter inversion of blasting vibration badsed on compositely genetic algorithm
- Vol. 26, Issue 1期　刊出日, (2005)
- 作者机构：
  
  1. 武汉理工大学岩土与环境工程研究所,湖北,武汉,430070
  2. 恩施勘测规划设计研究院,湖北,恩施,444500
- 作者简介：
- 基金信息：
- DOI：
  CLC： O24
- Online First：07 November 2013，
  
  Published：2005
- 稿件说明：
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WEN Jian-hua, LI Xin-ping, ZHANG Wen-cheng, et al. A study of parameter inversion of blasting vibration badsed on compositely genetic algorithm[J]. 2005, 26(1期　刊出日).
DOI：

WEN Jian-hua, LI Xin-ping, ZHANG Wen-cheng, et al. A study of parameter inversion of blasting vibration badsed on compositely genetic algorithm[J]. 2005, 26(1期　刊出日). DOI：

摘要

阐述了遗传算法的基本原理，针对遗传算法在参数确定中局部搜索能力不强等问题，把单纯形加速法引入到遗传算法中，提出了复合遗传算法并对复合搜索理论进行了阐述，通过工程实例进行验证。数值计算结果表明，在爆破震动测试参数确定中，复合遗传算法对加大局部搜索速度、提高计算精度具有明显效果。

Abstract

In this paper the principle of the Genetic Algorithm is stated. There are some thorny issues such as the limitation of the primary search ability when the Genetic Algorithm is applied to blasting vibration in parameter inversion. The Compositely Genetic Algorithm is provided to solve this problem. Numerical example shows that the Compositely Genetic Algorithm is efficient and reliable.

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