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Parameter estimation of shallow wave equation via cuckoo search

Research output: Contribution to journalArticlepeer-review

Abstract

In this study, cuckoo search is introduced for performing the parameter estimation of shallow wave equation for the first time. Cuckoo search (CS) is invented based on the inspiration of brood parasitic behavior of some cuckoo species in combination with the Lévy flight behavior. These meta-heuristics have been successfully used for solving some optimization problems with promising results. However, this emerging optimization method has not been applied in parameter inversion problem. This study reports a CS-based parameter estimation method to inverse the roughness coefficient and the coefficient of eddy viscosity under some specific conditions. Simulation results and experimental data show that cuckoo search offers a reliable performance for these parameter estimation problems.

Original languageEnglish
Pages (from-to)4047-4059
Number of pages13
JournalNeural Computing and Applications
Volume28
Issue number12
DOIs
StatePublished - 1 Dec 2017
Externally publishedYes

Keywords

  • Coefficient of eddy viscosity
  • Cuckoo search algorithm
  • Parameter estimation
  • Roughness coefficient
  • Shallow wave equation

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