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基于遗传算法的深层搅拌桩优化设计
引用本文:冯仲仁,王雄江,姚爱民,刘兆丰.基于遗传算法的深层搅拌桩优化设计[J].岩土力学,2003,24(3):420-422.
作者姓名:冯仲仁  王雄江  姚爱民  刘兆丰
作者单位:1. 武汉理工大学,土木建筑工程学院,湖北,武汉,430070
2. 湖北武桥岩土工程有限公司,湖北,武汉,430052
基金项目:湖北省重点科技攻关项目资助(编号:98lP1201)
摘    要:将遗传算法应用于深层搅拌桩优化设计中,以单位面积内深层搅拌桩的水泥用量为优化目标函数。全部约束条件均按相应规范的要求给出,并针对传统遗传算法优化设计时遇到的诸如计算量大、早熟收敛等问题,提出了相应的改进策略,利用Visual C4 编制了计算程序,通过实例证明了所提优化方法的有效性。

关 键 词:深层搅拌桩  遗传算法  优化设计
文章编号:1000-7598-(2003)03-0420-04
收稿时间:2002-09-16

Optimal design of deep-mixing piles based on genetic algorithm
FENG Zhong-ren,WANG Xiong-jiang,YAO Ai-ming,LIU Zhao-feng.Optimal design of deep-mixing piles based on genetic algorithm[J].Rock and Soil Mechanics,2003,24(3):420-422.
Authors:FENG Zhong-ren  WANG Xiong-jiang  YAO Ai-ming  LIU Zhao-feng
Institution:School of Civil Engineering and Architectural, Wuhan University of Technology, Wuhan 430070, China: Hubei Wuqiao Geotechnical Engineering Co. Ltd., Wuhan 430052, China
Abstract:The genetic algorithm was used in optimal design of deep-mixing piles. The cost of deep-mixing piles in one unit area of foundation was taken as the objective function . All the restrains were listed following the corresponding specification. Suggestions were proposed and the modified genetic algorithm was given to deal with the problems of excessive computational cost and premature convergence. Software system of optimal design of deep-mixing piles was developed in Visual C++ .The effectiveness of the optimal method was proved by an application example.
Keywords:deep-mixing pile  optimal design  genetic algorithm
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