Multiobjective Optimization to Optimal Moroccan Diet Using Genetic Algorithm

被引：0
作者：
Ahourag A. [1 ]
El Moutaouakil K. [2 ]
Cheggour M. [3 ]
Chellak S. [3 ]
Baizri H. [3 ]
机构：
[1] Sidi Mohamed Ben Abdellah University, Technical Sciences Faculty
[2] Sidi Mohamed Ben Abdellah University, FPT of Taza
[3] Cadi Ayyad University, Faculty of Medicine and Pharmacy, Marrakech
来源：
International Journal for Engineering Modelling | 2023年 / 36卷 / 01期
关键词：
Genetic algorithm; glycemic load; multiobjective optimization; nutrient; optimal diet;
D O I：
10.31534/engmod.2023.1.ri.05a
中图分类号：
学科分类号：
摘要：
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 he, 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. © 2023, University of Split. All rights reserved.
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页码：67 / 79
页数：12
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