Parameter estimation of the nonlinear Muskingum model using harmony search
- Authors
- Kim, JH; Geem, ZW; Kim, ES
- Issue Date
- 10월-2001
- Publisher
- AMER WATER RESOURCES ASSOC
- Keywords
- Harmony Search; nonlinear Muskingum method; parameter calibration; genetic algorithm
- Citation
- JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, v.37, no.5, pp.1131 - 1138
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
- Volume
- 37
- Number
- 5
- Start Page
- 1131
- End Page
- 1138
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/123631
- DOI
- 10.1111/j.1752-1688.2001.tb03627.x
- ISSN
- 1093-474X
- 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.
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Collections - College of Engineering > School of Civil, Environmental and Architectural Engineering > 1. Journal Articles
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