Journal
ADVANCES IN ENGINEERING SOFTWARE
Volume 50, Issue -, Pages 82-96Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.advengsoft.2012.02.008
Keywords
Artificial intelligence; Genetic Programming; Structural engineering; Concrete; Shear strength; Regression analysis
Categories
Funding
- Spanish Ministry of Science and Innovation [BIA2007-60197, BIA2010-21551]
- Ministry of Economy and Industry (Conselleria de Economia e Industria) of the Xunta de Galicia [08TMT005CT, 10TMT034E]
Ask authors/readers for more resources
A method based on Genetic Programming (GP) to improve previously known empirical equations is presented. From a set of experimental data, the GP may improve the adjustment of such formulas through the symbolic regression technique. Through a set of restrictions, and the indication of the terms of the expression to be improved, GP creates new individuals. The methodology allows us to study the need of including new variables in the expression. The proposed method is applied to the shear strength of concrete beams. The results show a marked improvement using this methodology in relation to the classic GP and international code procedures. (C) 2012 Civil-Comp Ltd and Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available