Quadratic Programming and Triangular Numbers Ranking to an Optimal Moroccan Diet with Minimal Glycemic Load

Statistics, Optimization and Information Computing

article

Karim El moutaouakil¹  Abdellah Ahourag¹  Saliha Chellak²  Mouna Cheggour²  Hicham Baizri²  Abdelkhalak Bahri³ 

[1] Faculty Polydisciplinary of Taza, Sidi Mohamed Ben Abellah University;Faculty of Medicine and Pharmacy, Cadi Ayyad University of Marrakech;National School of Applied Sciences, Abdelmalek Essaadi University Tangier

关键词: Quadratic optimization;    PSO;    Ranking function;    Triangular fuzzy numbers;    Optimal diet;    Glycemic load;   

DOI  :  10.19139/soic-2310-5070-1541

来源: Istituto Superiore di Sanita

【 摘 要 】

In this work, we suggest a variety of optimal daily diets for people with diabetes in Morocco. To this end, we model the foods glycemic load in term of triangular fuzzy numbers. Then, we model the problem of daily diet in term of fuzzy quadratic optimization programming. To transform this model into a line model, we use a very performance ranking function. To solve the obtained model, we call particles swarm algorithm due to its performance and simplicity. Various experiments were carried out on the basis of feeds available on the Moroccan market and for different sizes of the PSO swarm. The experimental results show that our system proposes optimal diets with a reasonable glycemic load between, acceptable favorable gaps and unfavorable nutrients excesses. We show how to combine the proposed diets to obtain a balanced weekly regime.

【 授权许可】

Unknown