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Authors: Salma Mesmoudi 1 ; Nathalie Perrot 1 ; Romain Reuillon 2 ; Paul Bourgine 2 and Evelyne Lutton 3

Affiliations: 1 INRA, France ; 2 ISC-PIF, CNRS CREA and UMR 7656, France ; 3 INRIA Saclay - Ile-de-France, France

ISBN: 978-989-8425-31-7

Keyword(s): Multiobjective evolutionary algorithm, Viability modeling, Optimal path search, Indirect encoding, Agri-food process modeling, Cheese ripening.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Evolutionary Multiobjective Optimization ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

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 multiobjective 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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Paper citation in several formats:
Mesmoudi, S.; Perrot, N.; Reuillon, R.; Bourgine, P. and Lutton, E. (2010). OPTIMAL VIABLE PATH SEARCH FOR A CHEESE RIPENING PROCESS USING A MULTI-OBJECTIVE EA.In Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010) ISBN 978-989-8425-31-7, pages 225-230. DOI: 10.5220/0003083902250230

@conference{icec10,
author={Salma Mesmoudi. and Nathalie Perrot. and Romain Reuillon. and Paul Bourgine. and Evelyne Lutton.},
title={OPTIMAL VIABLE PATH SEARCH FOR A CHEESE RIPENING PROCESS USING A MULTI-OBJECTIVE EA},
booktitle={Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)},
year={2010},
pages={225-230},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003083902250230},
isbn={978-989-8425-31-7},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)
TI - OPTIMAL VIABLE PATH SEARCH FOR A CHEESE RIPENING PROCESS USING A MULTI-OBJECTIVE EA
SN - 978-989-8425-31-7
AU - Mesmoudi, S.
AU - Perrot, N.
AU - Reuillon, R.
AU - Bourgine, P.
AU - Lutton, E.
PY - 2010
SP - 225
EP - 230
DO - 10.5220/0003083902250230

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