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| 基于遗传算法的湿陷性黄土地基灰土挤密桩优化设计 | |
| 引用本文： | 苗强强,张红雨,陈正汉,周海清,朱青青.基于遗传算法的湿陷性黄土地基灰土挤密桩优化设计[J].后勤工程学院学报,2009,25(3):10-13,34. |
| 作者姓名： | 苗强强 张红雨 陈正汉 周海清 朱青青 |
| 作者单位： | 1. 后勤工程学院,军事建筑工程系,重庆,400041 2. 南京政治学院,上海分院,上海,200433 3. 西北民族大学,化工学院,兰州,730000 |
| 基金项目： | 宁夏回族自治区科技厅资助项目 |
| 摘 要： | 利用Visual C＋＋语言，定义了一个面向对象的基于实数编码遗传算法类。运用可最大限度保证遗传算法搜索到问题的全局最优解的深度搜索策略，编制了灰土挤密桩的优化设计和造价估算遗传算法程序，并针对兰州某地灰土挤密桩复合地基进行了计算分析，并与原有方案比较，结果表明：两种优化方案在满足承载力和变形的条件下，在降低造价成本方面优势非常明显。 |
| 关 键 词： | 灰土挤密桩 遗传算法 面向对象 深度搜索 |
Optimizing Design in Lime-soil Using Genetic Algorithm on Collapsible Loess Foundation |
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| MIAO Qiang-qiang,ZHANG Hong-yu,CHEN Zheng-han,ZHOU Hai-qing,ZHU Qing-qing.Optimizing Design in Lime-soil Using Genetic Algorithm on Collapsible Loess Foundation[J].Journal of Logistical Engineering University,2009,25(3):10-13,34. | |
| Authors: | MIAO Qiang-qiang ZHANG Hong-yu CHEN Zheng-han ZHOU Hai-qing ZHU Qing-qing |
| Institution: | 1.Dept.of Architecture & Civil Engineering;LEU;Chongqing 400041;China;2.Shanghai Branch Nanjing Politrcs College;Shanghai 200433;3.College ofChemical Engineering;Northwest University for Nationalities;Lanzhou 730000;China |
| Abstract: | An object-oriented class of genetic algorithms based on real number coding is defined by using program of Visual C++.A deep search strategy of genetic algorithms is used to get the best optimum result of the problem.The program of optimizing in lime-soil pile composite foundation design is developed.This program is used in a practical engineering project somewhere in Lanzhou.When satisfied with bearing capacity and deformation,the result shows that the two optimum schemes of genetic algorithm,comparing with... |
| Keywords: | lime-soil pile genetic algorithm object-oriented deep search |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |