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

Autor: Diomande Siaho, Oumtanaga Souleymane, Kadjo Tanon Lambert, Kakou Kouassi Ernest, Pandry Ghislain, Assidjo Nogbou Emmanuel
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Advanced Research. 9:256-264
ISSN: 2320-5407
Popis: 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).
Databáze: OpenAIRE