Parameter estimation of the nonlinear Muskingum model using Harmony Search

Joong Hoon Kim, Zong Woo Geem, Eung Seok Kim

Research output: Contribution to journalArticle

286 Citations (Scopus)

Abstract

A newly developed heuristic algorithm, Harmony Search, is applied to the parameter estimation problem of the non-linear 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.

Original languageEnglish
Pages (from-to)1131-1138
Number of pages8
JournalJournal of the American Water Resources Association
Volume37
Issue number5
DOIs
Publication statusPublished - 2001

Keywords

  • Genetic algorithm
  • Harmony Search
  • Nonlinear Muskingum method
  • Parameter calibration

ASJC Scopus subject areas

  • Ecology
  • Water Science and Technology
  • Earth-Surface Processes

Fingerprint Dive into the research topics of 'Parameter estimation of the nonlinear Muskingum model using Harmony Search'. Together they form a unique fingerprint.

  • Cite this