PaperNo. 00005 of the Journal of the American Water Resources Association.Discussions are open until June 1, 2002.
PARAMETER ESTIMATION OF THE NONLINEAR MUSKINGUM MODEL USING HARMONY SEARCH1
Version of Record online: 8 JUN 2007
JAWRA Journal of the American Water Resources Association
Volume 37, Issue 5, pages 1131–1138, October 2001
How to Cite
Kim, J. H., Geem, Z. W. and Kim, E. S. (2001), PARAMETER ESTIMATION OF THE NONLINEAR MUSKINGUM MODEL USING HARMONY SEARCH. JAWRA Journal of the American Water Resources Association, 37: 1131–1138. doi: 10.1111/j.1752-1688.2001.tb03627.x
- Issue online: 8 JUN 2007
- Version of Record online: 8 JUN 2007
- Harmony Search;
- nonlinear Muskingum method;
- parameter calibration;
- genetic algorithm
ABSTRACT: A newly developed heuristic algorithm, Harmony Search, is applied to the parameter estimation problem of the nonlinear Muskingum model. Harmony Search found better values of parameters in the nonlinear Muskingum model than five other methods including another heuristic method, genetic algorithm, in terms of SSQ (the sum of the square of the deviations between the observed and routed outflows), SAD (the sum of the absolute value of the deviations between the observed and routed outflows), DPO (deviations of peak of routed and actual flows), and DPOT (deviations of peak time of routed and actual outflow). Harmony Search also has the advantage that it does not require the process of assuming the initial values of design parameters. The sensitivity analysis of Harmony Memory Considering Rate showed that relatively large values of Harmony Memory Considering Rate makes the Harmony Search converge to a better solution.