Comparison of Performance between Genetic Algorithm and SCE-UA for Calibration of SCS-CN Surface Runoff Simulation

Comparison of Performance between Genetic Algorithm and SCE-UA for Calibration of SCS-CN Surface Runoff Simulation

Global optimization methods linked with simulation models are widely used for automated calibration and serve as useful tools for searching for cost-effective alternatives for environmental management. A genetic algorithm (GA) and shuffled complex evolution (SCE-UA) algorithm were linked with the Lo...

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Bibliographic Details
Main Authors: Ji-Hong Jeon, Chan-Gi Park, Bernard A. Engel
Format: Article
Language:English
Published: MDPI AG 2014-11-01
Series:Water
Subjects:
genetic algorithm
shuffled complex evolution
global optimization
curve number method
surface runoff simulation
Online Access:http://www.mdpi.com/2073-4441/6/11/3433

Internet

http://www.mdpi.com/2073-4441/6/11/3433

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