Diseño de un modelo de producción de biomasa bacteriana con el uso de algoritmos de optimización

Uribe Muriel, Luz Angela

dc.contributor.advisor	Sanchez Leal, Ligia Consuelo
dc.contributor.author	Uribe Muriel, Luz Angela
dc.date.accessioned	2012-08-14T17:29:51Z
dc.date.available	2012-08-14T17:29:51Z
dc.date.created	2011
dc.date.issued	2012
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dc.identifier.uri	http://hdl.handle.net/10818/3349
dc.description	180 Páginas.
dc.description.abstract	Los 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.iso	spa	es_CO
dc.publisher	Universidad de La Sabana
dc.source	Universidad de La Sabana
dc.source	Intellectum Repositorio Universidad de La Sabana
dc.subject	Análisis combinatorio	es_CO
dc.subject	Productos químicos	es_CO
dc.subject	Algoritmos-Biomasa	es_CO
dc.subject	Productos químicos de la Biomasa	es_CO
dc.title	Diseño de un modelo de producción de biomasa bacteriana con el uso de algoritmos de optimización	es_CO
dc.type	masterThesis
dc.publisher.program	Maestría en Diseño y Gestión de Procesos
dc.publisher.department	Facultad de Ingeniería
dc.identifier.local	157732
dc.identifier.local	TE05555
dc.type.local	Tesis de maestría
dc.type.hasVersion	publishedVersion
dc.rights.accessRights	restrictedAccess
dc.creator.degree	Magíster en Diseño y Gestión de Procesos