ARSLAN, Ayşe; DETIENNE, Boris

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ARSLAN, Ayşe
Institut National des Sciences Appliquées - Rennes [INSA Rennes]
Institut de Recherche Mathématique de Rennes [IRMAR]

DETIENNE, Boris
Reformulations based algorithms for Combinatorial Optimization [Realopt]
Institut de Mathématiques de Bordeaux [IMB]

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Document de travail - Pré-publication

Résumé en anglais

This 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.< Réduire

Mots clés en anglais

Robust optimization

Light robustness

Penalty function

Phytosanitary treatment planning

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Robust Strategic Planning of Phytosanitary Treatments in Agriculture

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Résumé en anglais

Mots clés en anglais

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Unités de recherche