Stochastic And Hybrid Methods For The Solution Of An Inverse Mass Transfer Problem

Lage, Luciana Ferreira; Cuco, Ana Paula C.; Folly, Flávio M.; Soeiro, Francisco J. C. P.; Neto, Antônio José da Silva

doi:10.1007/1-4020-5370-3_472

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We may also conclude that with the control parameters chosen for GEO and EGA the latter presents a lower dispersion of the estimates. This fact is confirmed by the value of the measure d, given by Equation (13), shown in Tables 2 and 3.…”

Section: Resultssupporting

confidence: 70%

“…Vasconcellos et al [12] used GAs. Lage et al [13] have also used GA and a hybridization of GA with the Levenberg-Marquardt method (GA-LM), while Lage et al [14] applied artificial neural networks (ANNs) developed for the solution of the inverse mass transfer problem, and Lage et al [15] used a hybridization of ANNs with the Levenberg-Marquardt method (LM).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Solution of an inverse adsorption problem with an epidemic genetic algorithm and the generalized extremal optimization algorithm

Cuco

Neto

Velho

et al. 2009

Inverse Problems in Science and Engineering

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Resultssupporting

confidence: 70%

Section: Introductionmentioning

confidence: 99%