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

- 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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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).
[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 (Feb). 256-264] (ISSN 2320-5407). www.journalijar.com
Laboratoire de recherche en Informatique et Télécommunication (LARIT), Institution polytechnique Félix Houphouêt-Boigny (INP-HB), Yamousoukro, Côte d’Ivoire.
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