Identification of Bouc–Wen type models using multi-objective optimization algorithms

► A method for the identification of parameters of BW type models is presented. ► It uses the multi-objective evolutionary algorithm NSGA-II proposed by Deb [39]. ► The method minimizes errors in the displacements and in the energy. ► The methodology is evaluated with simulated and experimental data...

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Vydané v:	Computers & structures Ročník 114-115; s. 121 - 132
Hlavní autori:	Ortiz, Gilberto A., Alvarez, Diego A., Bedoya-Ruíz, Daniel
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.01.2013
Predmet:	Bouc–Wen–Baber–Noori model Hysteresis Multi-objective optimization NSGA-II System identification NSGA-II Bouc–Wen–Baber–Noori model Multi-objective optimization System identification Hysteresis
ISSN:	0045-7949, 1879-2243
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