人民黄河Issue(10)：131-133,137,4.DOI:10.3969/j.issn.1000-1379.2015.10.034
量子遗传算法与有限元联合反演模型
A Finite Element Inversion Model Based on Quantum Genetic Algorithm
张守平1
作者信息
- 1. 重庆水利电力职业技术学院，重庆402160
- 折叠
摘要
Abstract
The global optimization algorithm is an ideal approach to solve the typical complex nonlinear function optimization problem such as engineering inversion analysis. With the efficient ABAQUS kernel solver,the finite element inversion model was established based on quantum genetic algorithm,then used MATLAB programming to realize ABAQUS interface command and established fitness function with inversion calculation value and measured value of the typical measuring point,thus realizing inversion analysis of physical and mechanical engineering parameters through the intelligent optimization function, which solved the phenomenon of the poor iterations number or convergence speed and being prone to local extremum caused by the improper selection,crossover or mutation operation of traditional genetic algorithm. To conduct the inversion analysis through a sluice engineering numerical examples,the results accuracy and solving speed was obviously improved compared with traditional genetic algorithm inversion,showing the rationality and practicability of this method.关键词
量子遗传算法/有限元/ABAQUS/反演分析/水闸Key words
quantum genetic algorithm/finite element/ABAQUS/inversion analysis/sluice分类
建筑与水利引用本文复制引用
张守平..量子遗传算法与有限元联合反演模型[J].人民黄河,2015,(10):131-133,137,4.
