Quality Optimization of a Cereal Product

A. Damak(1*), M. Annabi(2)

(1) Higher institute of applied sciences and technology of Mateur, Tunisia
(2) ESSTT, Tunisia
(*) Corresponding author


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Abstract


The cereal transaction is conditioned by the quality of cereals determining the price of the transaction (purchase or sale). Due to the disparity of the cereal quality in terms of diverse manipulated batches, the stability of the product delivered by the wholesaler and destined to the first transformer is fluctuating and hence affecting the quality of the consumer’s final product. With regards to the importance of the cereal sector in Tunisia, and within the context of valorization of the Cereal Office, we were committed to study the management of stock mobility with the intention of reducing disparity in delivered cereal quality through the use of blending techniques (mixture of many batches of cereals of similar nature with different proportions). In this paper, we apply both Genetic Algorithm and Fuzzy Logic in order to optimize the quality of the mixed product.
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Keywords


Genetic Algorithm; Fuzzy Logic; Classification of the Quality; Fuzzy Rule

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References


JORT n° 4 du 14-1-97, décret n° 2549, « Prix et modalités de paiement du stockage et rétrocession de céréales et coupage », 1996.

JORT, Décret loi N° 62-10 du 3 avril 1962 ; “Création d’un Office de Céréales”.

Damak A., Optimisation du coupage d'un produit agroalimentaire : application aux céréales, Thèse de doctorat, 35-57, mai 2007.

Meng Z. Autonomous Genetic Algorithm for Functional Optimization , Progress In Electromagnetics Research, PIER 72, 253-268, 2007.
http://dx.doi.org/10.2528/pier07031506

Goldberg D.: Algorithmes génétiques; (Addison-Wesley, 1994).

Goldberg D.E: Genetic Algorithms in Search,Optimisation and Machine Learning; (Addison Wesley 1989).

Renders J.M. : Algorithmes génétiques et réseaux de neurones. (Paris: Hermès, 1995).

Whitley D., A Genetic Algorithm Tutorial; Technical Report CS-93-103, Colorado State University, Department of Computer Science, 1993.

Agastra E., Bellaveglia G., Lucci L., Nesti R., Pelosi G., Ruggerini G., and Selleri S., Genetic Algorithm Optimization of High-Efficiency Wide-Band Multimodal Square Horns for Discrete Lenses, Progress In Electromagnetics Research, PIER 83, 335-352, 2008.
http://dx.doi.org/10.2528/pier08061806

Thangiah S.R.: Vehicle routing with time windows using genetic algorithms. Application handbook of genetic algorithms : New frontiers. Vol 2, pages 253-277, CRC Press, Boca Raton 1995.
http://dx.doi.org/10.1201/9781420050073.ch11

Fonseca C.M. et Fleming P.J., GeneticAlgorithms for Multiobjective Optimization:Formulation, Discussion and Generalizatio”, in Genetic Algorithms: Proceedings of the Fifth International Conference, S. Forrest, editeur, San Mateo, CA: Morgan Kaufmann, juillet 1993.

Bouchon.M.B, La logique floue, presses universitaires de France, Paris 1993.
http://dx.doi.org/10.1017/s0012217300037045

Zadeh L.A., Fuzzy logic: computing with words. IEEE transactions on fuzzy systems, 103-111, 1996
http://dx.doi.org/10.1109/91.493904

N.Belacel, Une approche du choix flou pour les problèmes de classification multicritère , LFA’2000, La Rochelle.

Azaro R., Casagranda A., Franceschini D., and Massa A., An Innovative Fuzzy-Logic-Based Strategy for an Effective Exploitation of Noisy Inverse Scattering Data», Progress In Electromagnetics Research, PIER 54, 283-302, 2005.
http://dx.doi.org/10.2528/pier05011802


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