Application of genetic programming and response surface methodology to optimization and inverse problems

被引：9
|
作者：
Toropov, VV [1 ]
Alvarez, LF [1 ]
机构：
[1] Univ Bradford, Dept Civil & Environm Engn, Bradford BD7 1DP, W Yorkshire, England
来源：
INVERSE PROBLEMS IN ENGINEERING MECHANICS | 1998年
关键词：
structural optimization; genetic programming; multipoint approximation method;
D O I：
10.1016/B978-008043319-6/50062-5
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Genetic Programming methodology is used for the creation of approximation functions in the: solution of optimization and inverse problems. Genetic Programming is a relatively new form of Artificial Intelligence, and is based on the ideas of Darwinian evolution and genetics. Two important aspects of the problem are addressed: the choice of the plan of experiments and the model tuning using the least-squares response surface fitting. A test example is presented where the technique is applied to a simple optimization problem.
引用
收藏
页码：551 / 560
页数：10
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