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hal.structure.identifierInstitut National des Sciences Appliquées - Rennes [INSA Rennes]
hal.structure.identifierInstitut de Recherche Mathématique de Rennes [IRMAR]
dc.contributor.authorARSLAN, Ayşe
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDETIENNE, Boris
dc.date.accessioned2024-04-04T02:44:21Z
dc.date.available2024-04-04T02:44:21Z
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191402
dc.description.abstractEnThis paper deals with robust planning and scheduling of activities in agriculture and in particular the application of phytosanitary treatments. The crops are subject to many diseases that may arise during different time windows of the planning horizon. In response, a phytosanitary treatment can be applied to protect against a subset of these diseases. However, the effective duration of some treatments is uncertain, it depends on the type of treatment applied as well as on the weather conditions. In this study we introduce a penalty function based approach to handle this uncertainty without being overly conservative akin to light robustness approach proposed in the literature. We discuss different forms for this penalty function and elaborate on solution methodologies for the resulting models. We test the effectiveness of our approach with realistically-sized instances, which correspond to a typical vineyard in Bordeaux area, and present a numerical analysis of different optimization models and solution methods.
dc.language.isoen
dc.subject.enRobust optimization
dc.subject.enLight robustness
dc.subject.enPenalty function
dc.subject.enPhytosanitary treatment planning
dc.title.enRobust Strategic Planning of Phytosanitary Treatments in Agriculture
dc.typeDocument de travail - Pré-publication
dc.subject.halMathématiques [math]/Optimisation et contrôle [math.OC]
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
hal.identifierhal-03410635
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03410635v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=ARSLAN,%20Ay%C5%9Fe&DETIENNE,%20Boris&rft.genre=preprint


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