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结构优化设计的变长度染色体混沌遗传算法
引用本文:韩延辉,郭鹏飞,王鹏. 结构优化设计的变长度染色体混沌遗传算法[J]. 华北水利水电学院学报, 2006, 27(4): 23-25
作者姓名:韩延辉  郭鹏飞  王鹏
作者单位:辽宁工学院,辽宁,沈阳,121000;中铁九局集团第四工程有限公司,辽宁,沈阳,110032
摘    要:为解决离散变量结构优化问题,将混沌搜索与遗传算法相结合,加速了收敛速度,同时变长度染色体中的拼接算子和截断算子能确保染色体的多样性,避免遗传算法陷入局部最优.算例表明:在计算量不大时可获得相当良好的全局性优化解.

关 键 词:遗传算法  离散变量  混沌搜索  拼接算子  截断算子  结构优化
文章编号:1002-5634(2006)04-0023-03
收稿时间:2006-06-08
修稿时间:2006-08-10

A Chaos Messy Genetic Algorithm of Structural Optimization
HAN Yan-hui,GUO Peng-fei,WANG Peng. A Chaos Messy Genetic Algorithm of Structural Optimization[J]. Journal of North China Institute of Water Conservancy and Hydroelectric Power, 2006, 27(4): 23-25
Authors:HAN Yan-hui  GUO Peng-fei  WANG Peng
Affiliation:1. Liaoning Institute of Technology, Shenyang 121000, China; 2. The Fourth Project Limited Company of China No .9 Railway Bureau Group, Shenyang 110032, China
Abstract:In order to reach structural optimization of discrete variable, the chaos search and the genetic algorithm are used combinatively, which accelerates the convergence rate. At the same time the changing length of the chromosome with the splicing operator and the interruption operator can guarantee the multiplicity of the chromosome, and avoid the genetic algorithm falling into the most superior party. The computational example indicates that this method can obtain a better solution at a less cost.
Keywords:genetic algorithm    discrete variable    chaos search    splicing operator   interruption operator   structural optimization
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