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dc.contributor.author
Oteiza, Paola Patricia
dc.contributor.author
Brignole, Nélida Beatriz
dc.date.available
2018-03-26T18:32:33Z
dc.date.issued
2016-12
dc.identifier.citation
Oteiza, Paola Patricia; Brignole, Nélida Beatriz; An Evolutionary Algorithm Applied to Inventory Control for Natural Gasoline; American Chemical Society; Industrial & Engineering Chemical Research; 55; 51; 12-2016; 13062-13073
dc.identifier.issn
0888-5885
dc.identifier.uri
http://hdl.handle.net/11336/39950
dc.description.abstract
A metaheuristic technique for controller design is explored and its performance is assessed for a real-world case. An evolutionary algorithm for self-tuning systems is proposed to tune the optimal parameter settings in order to achieve the best overall performance to control accurately the volume of natural gasoline in a storage tank. For high-level optimization a flexible iterative technique based on Genetic Algorithms is presented. The algorithm is stable and its architecture is simple, thus becoming easy to implement. Not only heuristics that produce superior solutions are taken into account, but also the computational speed is contemplated as a key factor. The experimental evaluation yields satisfactory fitness values and relatively little computational effort is required.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Chemical Society
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Inventory Control
dc.subject
On-Line
dc.subject
Genetic Algorithms
dc.subject
Gasoline
dc.subject.classification
Otras Ingeniería Química
dc.subject.classification
Ingeniería Química
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
An Evolutionary Algorithm Applied to Inventory Control for Natural Gasoline
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-03-26T17:43:57Z
dc.journal.volume
55
dc.journal.number
51
dc.journal.pagination
13062-13073
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Washington, DC
dc.description.fil
Fil: Oteiza, Paola Patricia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
dc.description.fil
Fil: Brignole, Nélida Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
dc.journal.title
Industrial & Engineering Chemical Research
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/ 10.1021/acs.iecr.6b01934
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/acs.iecr.6b01934
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