10.4122/1.1000000680
Seyed Mohammad, Mortazavi Naeini
Mortazavi Naeini
Seyed Mohammad
smohammad.mortazavi@gmail.com
Babu, P. Suresh
P. Suresh
Babu
suba_babu@yahoo.com
Seyed Mohammad, Mortazavi Naeini
Mortazavi Naeini
Seyed Mohammad
smohammad.mortazavi@gmail.com
APPLICATION OF ACO ALGORITHM IN SCS-CN METHOD
XVI International Conference on Computational Methods in Water Resources
2006
2006
Calibrating the most appropriate parameter is one of the crucial stages in
dependable rainfall-runoff modeling. This paper evaluates the computational
performance of Ant Colony Optimization (ACO) and Marquardt Algorithms (MA) used for
calibration of CN and λ parameters of the Soil Conservation Service Curve Number
(SCS-CN) model in optimization. Employing standard error of estimate (Se) and
standard error ratio (SER), the performance of both the algorithms was tested on a
large set of US data.