Comparing optimization algorithms for parameter identification of sigmoid model for MR damper

This paper proposes a new hybrid optimization technique that merges a differential evolution algorithm with a local strategy using the Nelder–Mead algorithm or simplex search algorithm and in Matlab software package, referred to as ( fminsearch ). To examine the variation in parameter estimation err...

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Vydané v:	Journal of the Brazilian Society of Mechanical Sciences and Engineering Ročník 46; číslo 3; s. 134
Hlavní autori:	da Silva, Davi Matias Dutra, Avila, Suzana Moreira, de Morais, Marcus Vinicius Girão, Cavallini, Aldemir Aparecido
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2024 Springer Nature B.V
Predmet:	Design of experiments Dynamic models Engineering Evolutionary algorithms Evolutionary computation Experimental methods Genetic algorithms Magnetic fields Mathematical models Mechanical Engineering Numerical models Optimization Optimization algorithms Optimization techniques Parameter estimation Parameter identification Parameter modification Research methodology Rheology Search algorithms Technical Paper Temperature effects Velocity Viscosity Magnetorheological damper Differential evolution Bouc–Wen
ISSN:	1678-5878, 1806-3691
On-line prístup:	Získať plný text
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