Vol. 9 (02) pp. 256-264 DOI: 10.21474/IJAR01/12442

HYBRID MODELING PREY PREDATOR-GENETIC ALGORITHM OF MOLD GROWTH DURING CACAO BEANS STORAGE

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  • Laboratoire de recherche en Informatique et Telecommunication(LARIT), Institution polytechnique Felix Houphouet-Boigny (INP-HB), Yamousoukro, Cote dIvoire.
  • Laboratoire des Procedes Industriels de Synthèse et Environnement(LAPISENS), Institution polytechnique Felix Houphouet-Boigny (INP-HB), Yamousoukro, Cote dIvoire.
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Abstract

The production and quality of cocoa beans remain key issues for the economy of Cote dIvoire. The fairly humid Ivorian climate promotes increased mold production, leading therefore to a considerable negative impact on beans quality. In this work, a prey predator model was proposed to simulate the molds growth on cocoa beans. Our model (MPM), based on that of Leslie Gower, was identified using a multi-objective genetic algorithm (MOGA). The developed model allows to stimulate the relationship between parameters (i.e. sugar content (Su) and molds (M) with a good accuracy (R=0.9963 and 0.8382 respectively for molds growth and sugar content).

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How to Cite This Article

Diomande Siaho, Pandry Ghislain, Kadjo Tanon Lambert, Kakou Kouassi Ernest, Oumtanaga Souleymane and Assidjo Nogbou Emmanuel (2021); HYBRID MODELING PREY PREDATOR-GENETIC ALGORITHM OF MOLD GROWTH DURING CACAO BEANS STORAGE, Int. J. of Adv. Res., 9 (02), 256-264, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/12442

Corresponding Author

DIOMANDE Siaho
Laboratoire de recherche en Informatique et Télécommunication (LARIT), Institution polytechnique Félix Houphouêt-Boigny (INP-HB), Yamousoukro, Côte d’Ivoire.
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