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Neural Computing and Applications

Erschienen in:

13.04.2016 | Original Article

Parameter estimation of shallow wave equation via cuckoo search

verfasst von: Xin-Ming Zhang

Erschienen in: Neural Computing and Applications | Ausgabe 12/2017

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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.

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Titel: Parameter estimation of shallow wave equation via cuckoo search
verfasst von: Xin-Ming Zhang
Publikationsdatum: 13.04.2016
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 12/2017
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-016-2308-6

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