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dc.contributor.advisorSanchez Leal, Ligia Consuelo
dc.contributor.authorUribe Muriel, Luz Angela
dc.date.accessioned2012-08-14T17:29:51Z
dc.date.available2012-08-14T17:29:51Z
dc.date.created2011
dc.date.issued2012
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dc.identifier.urihttp://hdl.handle.net/10818/3349
dc.description180 Páginas.
dc.description.abstractLos algoritmos de optimización son empleados en diferentes ramas de la ciencia, sin embargo, su inclusión en la solución de problemas microbiológicos es reciente. Esta tesis introduce en forma práctica, tres algoritmos evolutivos de búsqueda local (Algoritmo de Nelder Mead, Algoritmo de optimización de Enjambre de partículas (PSO), y Glowworm Swarm Optimization (Optimización de Enjambre de Luciérnagas) (GSO)) para solucionar un problema biológico en la erradicación de una bacteria causante de marchitez vascular. Los algoritmos demostraron ser una herramienta útil, práctica y moderna en para las aplicaciones en microbiología ya que permiten obtener una visión global del comportamiento de los microorganismos si se someten a variables que no han sido estudiadas en el laboratorio.es_CO
dc.language.isospaes_CO
dc.publisherUniversidad de La Sabana
dc.sourceUniversidad de La Sabana
dc.sourceIntellectum Repositorio Universidad de La Sabana
dc.subjectAnálisis combinatorioes_CO
dc.subjectProductos químicoses_CO
dc.subjectAlgoritmos-Biomasaes_CO
dc.subjectProductos químicos de la Biomasaes_CO
dc.titleDiseño de un modelo de producción de biomasa bacteriana con el uso de algoritmos de optimizaciónes_CO
dc.typemasterThesis
dc.publisher.programMaestría en Diseño y Gestión de Procesos
dc.publisher.departmentFacultad de Ingeniería
dc.identifier.local157732
dc.identifier.localTE05555
dc.type.localTesis de maestría
dc.type.hasVersionpublishedVersion
dc.rights.accessRightsrestrictedAccess
dc.creator.degreeMagíster en Diseño y Gestión de Procesos


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