Realization of optimizing supporting structure in deep excavation based on adaptive hybrid genetic algorithm

WANG Jun-sheng1; XIA Yuan-you1; SHU Huai-zhu2

doi:10.16285/j.rsm.2006.08.043

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Realization of optimizing supporting structure in deep excavation based on adaptive hybrid genetic algorithm

更新时间：2026-06-25

- Realization of optimizing supporting structure in deep excavation based on adaptive hybrid genetic algorithm
- Issue 8, Pages: 1433-1436(2006)
- 作者机构：
  
  1. 武汉理工大学土木工程与建筑学院
  2. 义乌工商学院土木系
- 作者简介：
- 基金信息：
- DOI：10.16285/j.rsm.2006.08.043
  CLC： TU470
- Published：2006
- 稿件说明：
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[1]王俊生,夏元友,舒怀珠.自适应混合遗传算法在基坑支护结构优化中的实现[J].岩土力学,2006(08):1433-1436.

WANG Jun-sheng1, XIA Yuan-you1, SHU Huai-zhu2. Realization of optimizing supporting structure in deep excavation based on adaptive hybrid genetic algorithm[J]. 2006, (8): 1433-1436.
[1]王俊生,夏元友,舒怀珠.自适应混合遗传算法在基坑支护结构优化中的实现[J].岩土力学,2006(08):1433-1436. DOI： 10.16285/j.rsm.2006.08.043.

WANG Jun-sheng1, XIA Yuan-you1, SHU Huai-zhu2. Realization of optimizing supporting structure in deep excavation based on adaptive hybrid genetic algorithm[J]. 2006, (8): 1433-1436. DOI： 10.16285/j.rsm.2006.08.043.

摘要

采用遗传算法对基坑支护结构进行优化设计

针对其早熟现象和局部搜索能力差的缺点改进遗传算法。使用自适应策略改进交叉算子与变异算子

在进化后期采用与位爬山法结合的混合遗传算法增强GA的局部搜索能力。对基坑支护结构建立优化设计数学模型

编制了基于遗传算法的基坑优化设计程序。通过实例分析

验证了改进策略的正确性。

Abstract

Supporting structure of deep excavation is optimized using genetic algorithm（GA）;and limitation of GA such as poor local search ability and premature is largely enhanced.Then crossover operator and mutation operator is improved while considering the adaptive method;also the combination of hill-climbing with GA enables better local search ability in post-evolution.Mathematic model of deep excavation supporting structure is discussed;according to which a GA software system is developed for deep excavation retaining system.An engineering example is studied;and the results show the validity of the amelioration.

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Related Author

WANG Jun-sheng

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HU An-feng

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Related Institution

义乌工商学院土木系，浙江义乌

武汉理工大学土木工程与建筑学院

Key Laboratory of Soft and Geoenvironmental of Ministry of Education, Zhejiang University

Institute of Geotechnical Engineering, Zhejiang University

State Key Laboratory of Hydroscience and Engineering, Tsinghua University

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