Genetic Programming Approach for Prediction of Local Scour Downstream of Hydraulic Structures
Publication: Journal of Irrigation and Drainage Engineering
Volume 134, Issue 2
Abstract
This is a pioneer study that presents genetic programming (GP) as a new tool for prediction of local scour downstream of grade-control structures. The objective of this study is to provide an alternative formulation to conventional regression based equations and verify the superiority of GP over regression analysis. The training and testing patterns of the proposed GP formulation are based on well established and widely dispersed experimental results from the literature. Linear and nonlinear regression-based equations were derived throughout regression analysis on dimensionless parameters obtained from dimensional analysis. The GP-based formulation results are compared with experimental results and other equations and found to be more accurate.
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Acknowledgments
The writers are grateful to the Gaziantep University Research Projects Administration Unit for funding the research reported in this paper.
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Information & Authors
Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 134 • Issue 2 • April 2008
Pages: 241 - 249
Copyright
© 2008 ASCE.
History
Received: Feb 22, 2007
Accepted: Jun 13, 2007
Published online: Apr 1, 2008
Published in print: Apr 2008
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