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dc.creatorVega, Jorge Ruben
dc.creatorClementi, Luis Alberto
dc.date.accessioned2018-09-14T22:17:08Z
dc.date.available2018-09-14T22:17:08Z
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/123456789/3120
dc.description.abstractIn this paper particle Swarm Optimization (PSO) algorithms are applied to estimate the particle size distribution (PSD) of a colloidal system from the average PSD diameters, which are measured by multi-angle dynamic light scattering. The system is considered a nonlinear inverse problem, and for this reason the estimation procedure requires a Tikhonov regularization method. The inverse problem is solved through several PSO strategies. The evaluated PSOs are tested through three simulated examples corresponding to polysty-rene (PS) latexes with different PSDs, and two experimental examples obtained by simply mixing 2 PS standards. In general, the evalu-ation results of the PSOs are excellent; and particularly, the PSO with the Trelea’s parameter set shows a better performance than other implemented PSOs.es_ES
dc.formatapplication/pdf
dc.language.isoenges_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.rights.uriAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.subjectmultiangle dynamices_ES
dc.subjectparticle swarm optimizationes_ES
dc.titleEstimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimizationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.affiliationVega, Jorge Ruben. Universidad Tecnológica Nacional. Argentinaes_ES
dc.description.affiliationClementi, Luis Alberto. Universidad Tecnológica Nacional. Argentinaes_ES
dc.description.peerreviewedPeer Reviewedes_ES
dc.relation.projectidTécnicas numéricas de estimación y optimización: aplicaciones en problemas de nanotecnología y de energía eleéctricaes_ES
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_ES
dc.type.snrdinfo:ar-repo/semantics/artículoes_ES
dc.rights.useCondiciones de Uso libre desde su aprobaciónes_ES


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