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Published in: Neural Computing and Applications 12/2017

13-04-2016 | Original Article

Parameter estimation of shallow wave equation via cuckoo search

Author: Xin-Ming Zhang

Published in: Neural Computing and Applications | Issue 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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Metadata
Title
Parameter estimation of shallow wave equation via cuckoo search
Author
Xin-Ming Zhang
Publication date
13-04-2016
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 12/2017
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2308-6

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