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dc.contributor.author
Blanco, Anibal Manuel
dc.contributor.other
Chantre Balacca, Guillermo Ruben
dc.contributor.other
González Andújar, José Luis
dc.date.available
2022-01-10T17:57:32Z
dc.date.issued
2020
dc.identifier.citation
Blanco, Anibal Manuel; Optimization in Decision Support Systems; Springer Nature Switzerland AG; 2020; 39-57
dc.identifier.isbn
978-3-030-44402-0
dc.identifier.uri
http://hdl.handle.net/11336/149892
dc.description.abstract
Two important components of decision support systems (DSSs) are a model that describes the behaviour of the system under study along a certain period of time and an optimization algorithm that searches for one or several ‘good’ options within the space of admissible human interventions. Both elements received a great deal of attention in recent decades, mostly motivated by industrial and management applications. There are also many examples of decision support projects in agronomy, in particular, in weed control for crop protection. Since the bioeconomic models arising in Integrated Weed Management (IWM) studies are nonlinear, mixed integer and large scale, they are quite difficult to optimize. In this chapter, some basic elements of optimization are reviewed, with special emphasis in practical issues (modelling, programming), which are less covered than theoretical topics in the open literature.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer Nature Switzerland AG
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
DSS
dc.subject
OPTIMIZATION
dc.subject
MINLP
dc.subject
METAHEURISTICS
dc.subject
LP
dc.subject
NLP
dc.subject
MATHEMATICAL PROGRAMMING
dc.subject
METAHEURISTICS
dc.subject.classification
Otras Ciencias de la Computación e Información
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Optimization in Decision Support Systems
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:ar-repo/semantics/parte de libro
dc.date.updated
2021-12-13T20:40:19Z
dc.journal.pagination
39-57
dc.journal.pais
Suiza
dc.journal.ciudad
Cham
dc.description.fil
Fil: Blanco, Anibal Manuel. 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.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1007/978-3-030-44402-0_3
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007%2F978-3-030-44402-0_3
dc.conicet.paginas
342
dc.source.titulo
Decision Support Systems for Weed Management
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