HYBRID MODELING PREY PREDATOR-GENETIC ALGORITHM OF MOLD GROWTH DURING CACAO BEANS STORAGE
Journal: International Journal of Advanced Research (Vol.9, No. 02)Publication Date: 2021-02-16
Authors : Diomande Siaho Pandry Ghislain Kadjo Tanon Lambert Kakou Kouassi Ernest Oumtanaga Souleymane; Assidjo Nogbou Emmanuel;
Page : 256-264
Keywords : Cocoa Beans Genetic Algorithm Identification Mold Leslie Gower Model Pareto Front;
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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