Izvorni znanstveni članak
https://doi.org/10.31534/engmod.2023.1.ri.05a
Multiobjective Optimization to Optimal Moroccan Diet Using Genetic Algorithm
Abdellah Ahourag
orcid.org/0009-0005-0171-6320
; Sidi Mohamed Ben Abdellah University, Technical Sciences Faculty, MOROCCO
Karim El Moutaouakil
orcid.org/0000-0003-3922-5592
; Sidi Mohamed Ben Abdellah University, FPT of Taza, MOROCCO
Mouna Cheggour
; Cadi Ayyad University Faculty of Medicine and Pharmacy, Marrakech, MOROCCO
Saliha Chellak
orcid.org/0000-0003-2420-8335
; Cadi Ayyad University Faculty of Medicine and Pharmacy, Marrakech, MOROCCO
Hicham Baizri
; Cadi Ayyad University Faculty of Medicine and Pharmacy, Marrakech, MOROCCO
Sažetak
Proper glucose control is designed to prevent or delay the complications of diabetes. Various contexts can lead to a fluctuation of the blood sugar level to a greater or lesser extent. It can be, for example, eating habits, treatment, intense physical activity, etc. The feeding problem interpolated by a minimum cost function is well-known in the literature. The main goal of this paper is to introduce a multiobjective programming model with constraints for the diet problem with two objective functions, the first of which is the total glycemic load of the diet while the second objective function is the cost of the diet. the MOGA (multiobjective Genetic Algorithm) algorithm was used to resolve the proposed model. The experimental results show that our system ([proposed model – MOGA]) is able to produce adequate diets that can settle glycemic load and cost while respecting the patient's requirements.
Ključne riječi
Genetic algorithm; multiobjective optimization; optimal diet; nutrient; glycemic load
Hrčak ID:
303556
URI
Datum izdavanja:
21.12.2022.
Posjeta: 632 *