@Article{CucoSilvCampSouz:2009:SoInAd,
author = "Cuco, Ana Paula C. and Silva Neto, Ant{\^o}nio Jos{\'e} da and
Campos Velho, Haroldo Fraga de and Souza, Fabiano L de",
affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Solution of an inverse adsorption problem with an epidemic genetic
algorithm and the generalized extremal optimization algorithm",
journal = "Inverse Problems in Science and Engineering",
year = "2009",
volume = "17",
number = "3",
pages = "289--302",
keywords = "adsorption, optimization, Thomas' model, inverse problems.",
abstract = "In the present work two recently developed stochastic methods, the
epidemic genetic algorithm and the generalized extremal
optimization algorithm are used for the solution of an inverse
mass transfer problem, which is implicitly formulated as an
optimization problem, for the estimation of parameters associated
with the adsorption of biomolecules in resin beds. The estimates
obtained with both methods present good accuracy, even in the
presence of noisy data, provided that the model and experiment
used are sensitive to the parameters being estimated. With Thomas'
model for the direct mass transfer problem and real experimental
data for lisozyme in adsorption columns, it is possible to
estimate the maximum adsorption capacity in Langmuir's adsorption
isotherm.",
copyholder = "SID/SCD",
doi = "10.1080/17415970802083201",
url = "http://dx.doi.org/10.1080/17415970802083201",
label = "lattes: 5142426481528206 3 CucoSilvCampSouz:2008:SoInAd",
language = "en",
urlaccessdate = "09 maio 2024"
}