Gene expression programming for prediction of scour depth downstream of sills

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@Article{Azamathulla:2012b:JH,

• author = "H. Md. Azamathulla",
• title = "Gene expression programming for prediction of scour depth downstream of sills",
• journal = "Journal of Hydrology",
• year = "2012",
• volume = "460-461",
• pages = "156--159",
• month = "16 " # aug,
• ISSN = "0022-1694",
• DOI = "doi:10.1016/j.jhydrol.2012.06.034",
• URL = "http://www.sciencedirect.com/science/article/pii/S0022169412005197?v=s5",
• keywords = "genetic algorithms, genetic programming, gene expression programming, Grade control structures, local scour, water resources engineering",
• size = "4 pages",
• abstract = "Local scour is an important issue in environmental and water resources engineering in order to prevent degradation of river bed and safe the stability of grade control structures, stilling basins, aprons, ski-jump bucket spillways, bed sills, weirs, check dams, etc. This short communication presents Gene-Expression Programming (GEP), which is an extension to Genetic Programming (GP), as an alternative approach to predict scour depth downstream of sills. Published data were compiled from the literature for the scour depth downstream of sills. The proposed GEP approach gives satisfactory results (R2=0.967 and RMSE =0.088) compared to existing predictors [Chinnarasri and Kositgittiwong, ICE Water Management, 161(5), 267-275, 2008] with R2 =0.87 and RMSE= 2.452 for relative scour depth.",
• notes = "also known as \cite{MdAzamathulla2012}",

}

Genetic Programming entries for Hazi Mohammad Azamathulla

Citations