Optimal viable path search for a cheese ripening process using a multi-objective EA. - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

Optimal viable path search for a cheese ripening process using a multi-objective EA.

Résumé

Viability theory is a very attractive theoretical approach for the modeling of complex dynamical systems. However, its scope of application is limited due to the high computational power it necessitates. Evolutionary computation is a convenient way to address some issues related to this theory. In this paper, we present a multi-objective evolutionary approach to address the optimisation problem related to the computation of optimal command profiles of a complex process. The application we address here is a real size problem from dairy industry, the modeling of a Camembert cheese ripening process. We have developed a parallel implementation of a multiobjective EA that has produced a Pareto front of optimal control profiles (or trajectories), with respect to four objectives. The Pareto front was then analysed by an expert who selected a interesting compromise, yielding a new control profile that seems promising for industrial applications.

Domaines

Autre
Fichier principal
Vignette du fichier
MesmoudiICEC2010.pdf (204.44 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00783852 , version 1 (01-02-2013)

Identifiants

  • HAL Id : hal-00783852 , version 1

Citer

Salma Mesmoudi, Nathalie Perrot, Romain Reuillon, Paul Bourgine, Evelyne Lutton. Optimal viable path search for a cheese ripening process using a multi-objective EA.. ICEC 2010, International Conference on Evolutionary Computation, Oct 2010, Valencia, Spain. ⟨hal-00783852⟩
476 Consultations
367 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More