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Contribution à l’ordonnancement d’ateliers agroalimentaires utilisant des méthodes d’optimisation hybrides

Abstract : The purpose of our works is the implementation of methodologies for the resolution of the agro-food industry scheduling problem. Three new approaches based on genetic algorithms are proposed to solve multi-objectives scheduling problems: sequential genetic algorithms (SGA), parallel genetic algorithms (PGA) and parallel sequential genetic algorithms (PSGA). Two high-level hybrid algorithms, SH_GA/TS et SH_GA/SA, are also proposed. The purpose in this hybridization is to benefit the exploration of the solution space by a population of individuals with the exploitation of solutions through a smart search of the local search algorithm
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Asma Karray. Contribution à l’ordonnancement d’ateliers agroalimentaires utilisant des méthodes d’optimisation hybrides. Autre. Ecole Centrale de Lille, 2011. Français. ⟨NNT : 2011ECLI0024⟩. ⟨tel-00690465⟩

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