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

Other literature type, Article English OPEN
Jeon, Ji-Hong; Park, Chan-Gi; Engel, Bernard;
  • Publisher: MDPI AG
  • Journal: Water (issn: 2073-4441)
  • Publisher copyright policies & self-archiving
  • Identifiers: doi: 10.3390/w6113433
  • Subject: genetic algorithm | Water supply for domestic and industrial purposes | TD201-500 | TC1-978 | shuffled complex evolution | Hydraulic engineering | surface runoff simulation | global optimization | curve number method

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) alg... View more
Share - Bookmark