| 离散变量结构形状优化设计的混合遗传算法 |
| |
| 引用本文： | 朱朝艳,张延年,郭鹏飞,王学志.离散变量结构形状优化设计的混合遗传算法[J].武汉理工大学学报(交通科学与工程版),2011,35(1). |
| |
| 作者姓名： | 朱朝艳 张延年 郭鹏飞 王学志 |
| |
| 作者单位： | 1. 辽宁工业大学土木建筑学院,锦州,121001
2. 沈阳建筑大学土木工程学院,沈阳,110168 |
| |
| 基金项目： | 国家自然科学基金项目(批准号:50709013); 辽宁省教育厅科学技术研究项目(批准号:2006B052)资助 |
| |
| 摘 要： | 通过在遗传算法中嵌入拟满应力算子来增强其局部寻优能力,并将拟满应力遗传算法应用于离散变量结构形状优化设计问题.将形状设计变量和截面设计变量统一编码表示在同一染色体中,既解决了两类变量间耦合上的困难,又避免了将两类变量分开考虑只能求得局部最优解的问题.对混合离散变量问题,对形状变量提出二级搜索策略,即首先在整个搜索区间进行粗粒度搜索,进化后期再将搜索范围缩小至最优解附近,重新编码进行局部细致搜索,从而解决了求解的精度和求解效率间的矛盾.
|
| 关 键 词： | 离散变量 形状优化 拟满应力法 混合遗传算法 拟满应力遗传算法 |
An Hybrid Genetic Algorithm for Shape Optimization of Structure with Discrete Variables |
| |
| Zhu Chaoyan,Zhang Yannian,Guo Pengfei,Wang Xuezhi.An Hybrid Genetic Algorithm for Shape Optimization of Structure with Discrete Variables[J].journal of wuhan university of technology(transportation science&engineering),2011,35(1). |
| |
| Authors: | Zhu Chaoyan Zhang Yannian Guo Pengfei Wang Xuezhi |
| |
| Institution: | Zhu Chaoyan1) Zhang Yannian2) Guo Pengfei1) Wang Xuezhi1)(School of Civil Engineering,Liaoning University of Technology,Jinzhou 121001,China)1)(School of Civil Engineering,Shenyang Architecture University,Shenyang 110015,China)2) |
| |
| Abstract: | The imitative full-stress generic algorithm can increase the local searching capability by inserting imitative full-stress operator into generic algorithm,and put the imitative full-stress generic algorithm to the shapes ptimization of structurewith discrete variables.This paper encodes the shape design variables and cross-section variables into one chromosome.This solves the problems of the two kinds of variables in the binary system and brings forward a two-step searching strategies,that is,coarse searchi... |
| |
| Keywords: | discrete variable shape optimization imitative full-stress design method hybrid genetic algorithm imitative full-stress genetic algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
