Sim-optimization hybrid approach for scheduling randomly deteriorating treatment tasks in horticulture - Archive ouverte HAL
Communication Dans Un Congrès Année : 2022

Sim-optimization hybrid approach for scheduling randomly deteriorating treatment tasks in horticulture

Résumé

In this paper, we study the problem of scheduling robotized tasks in the context of Agriculture 4.0. The objective is to optimize the treatment tasks of plants against an evolving disease (mildew) within a greenhouse. The treatment is performed using a type-C ultraviolet radiation (UV-C) by an UV-Robot. We propose a semi-dynamic simulation-optimization approach based on a Markovian model of the disease behavior in the greenhouse. Two variants of simulation-optimization hybridization are tested and analyed.
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Dates et versions

hal-03871250 , version 1 (25-11-2022)

Identifiants

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Merouane Mazar, Belgacem Bettayeb, Nathalie Klement, Mhammed Sahnoun, Anne Louis. Sim-optimization hybrid approach for scheduling randomly deteriorating treatment tasks in horticulture. 10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022: Nantes, France, 22-24 June 2022, Jun 2022, Nantes, France. pp.538-543, ⟨10.1016/j.ifacol.2022.09.449⟩. ⟨hal-03871250⟩
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