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

Abstract : 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.
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Submitted on : Friday, February 1, 2013 - 5:47:24 PM
Last modification on : Friday, August 5, 2022 - 2:38:10 PM
Long-term archiving on: : Monday, June 17, 2013 - 6:22:51 PM


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  • HAL Id : hal-00783852, version 1


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⟩



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