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;
- HYBRID MODELING PREY PREDATOR-GENETIC ALGORITHM OF MOLD GROWTH DURING CACAO BEANS STORAGE
- Ecological System of a Prey-Predator Model with Prey Reserve
- Effect of the Degree of Maturity of Cocoa Pods (Theobroma cacao L.) on the Germination Capacity of the Beans and the Growth of Seedlings in the Nursery in Kisangani
- THE ANALYSIS OF THE MODEL VOLTERRA "PREDATOR-PREY"
- Qualitative nature of a discrete predator-prey system
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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Last modified: 2021-03-24 18:36:41