文章基本信息

标题：Joint Optimization Method Combining Genetic Algorithm and Numerical Algorithm Based on MATLAB
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作者：Yanhua Guo ; Feifei Liu ; Ning Zhang 等
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2016
卷号：9
期号：11
页码：57-66
出版社：SERSC
摘要：A two-bar plane truss is built in MATLAB based on mathematical model. Then the authors use genetic algorithm toolbox to solve this problem. The parametric truss modelis set up in the finite element analysis software ANSYS. It is analyzed by first-order algorithm. The comparison of two kinds results show the pure genetic algorithm doesn’talways have an advantage over other algorithms. In the end, a joint optimization methodis put forward on the basis of genetic algorithm. It combines genetic algorithm based on MATLAB toolbox and numerical algorithm based on quasi-Newton method. This methodis illustrated by the numerical example of the two-bar plane truss. The results show this jointoptimization method can get the global optimal solution of this problem every time.
关键词：Genetic; algorithm; ;Numerical;algorithm; Q;uasi;-Newton ;method; ;Optimization; MATLAB; ANSYS