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SWMM Calibration using Genetic Algorithms
2002
Journal of Water Management Modeling
The Storm Water Management Model (SWMM) is widely-used to evaluate, analyze and manage problems in both hydraulics and hydrology. In order to improve the reliability of the model, a parameter-optimization approach is required to determine the "best" input parameter sets. Within SWMM, the hydrology module RUNOFF is the best candidate module for uncertainty reduction by parameter optimization. In this chapter we describe how the genetic algorithm (GA) method was developed to optimize SWMM RUNOFF
doi:10.14796/jwmm.r208-07
fatcat:2c4giq663nabpm7dgncbhs3x5m