Alternative well calibrated rainfall-runoff model: Genetic programming scheme

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Liong2001777,

• author = "Shie-Yui Liong and V. T. Van Nguyen and Tirtha Raj Gautam and Loong Wee",
• title = "Alternative well calibrated rainfall-runoff model: Genetic programming scheme",
• booktitle = "Urban Drainage Modeling",
• year = "2001",
• editor = "R W Brashear and C Maksimovic and R W Brashear and C Maksimovic",
• pages = "777--787",
• address = "Orlando, Florida, USA",
• month = may # " 20-24",
• publisher = "American Society of Civil Engineers",
• keywords = "genetic algorithms, genetic programming, Catchments, Computer simulation, Mathematical models, Optimisation, Runoff, Storms, Weather forecasting, Rainfall runoff model, Storm water management model, Rain gauges",
• isbn13 = "978-0-7844-0583-3",
• URL = "http://ascelibrary.org/doi/abs/10.1061/40583%28275%2973",
• DOI = "doi:10.1061/40583(275)73",
• size = "11 pages",
• abstract = "Genetic Programming (GP) has been explored as a flow forecasting tool. A catchment in Singapore with a drainage area of about 6 km2 is used for this case study. GP was trained to simulate runoff from a conceptual rainfall-runoff model, Storm Water Management Model (SWMM), which was first calibrated using Shuffled Complex Evolution (SCE) algorithm. Four storms of different intensities and durations are used for training and verification of the GP models. The results show that the runoff prediction accuracy of genetic programming based tool, measured in terms of root mean square error and correlation coefficient, is reasonably high. Thus, GP coupled with a robust optimisation scheme such as SCE is a viable complementary tool to traditional conceptual rainfall-runoff models.",
• notes = "GPKernel Babovic",
• affiliation = "Department of Civil Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore",
• correspondence_address1 = "Liong, S.-Y.; Department of Civil Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore; email: cvelsy@nus.edu.sg",
• language = "English",
• document_type = "Conference Paper",

}

Genetic Programming entries for Shie-Yui Liong Van-Thanh-Van Nguyen Tirtha Raj Gautam Loong Wee

Citations