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

  • Karim El moutaouakil Faculty Polydisciplinary of Taza, Sidi Mohamed Ben Abellah University, Morocco
  • Abdellah Ahourag Faculty Polydisciplinary of Taza, Sidi Mohamed Ben Abellah University, Morocco
  • Saliha Chellak Faculty of Medicine and Pharmacy, Cadi Ayyad University of Marrakech, Morocco
  • Mouna Cheggour Faculty of Medicine and Pharmacy, Cadi Ayyad University of Marrakech, Morocco
  • Hicham Baizri Faculty of Medicine and Pharmacy, Cadi Ayyad University of Marrakech, Morocco
  • Abdelkhalak Bahri National School of Applied Sciences, Abdelmalek Essaadi University Tangier, Morocco
DOI: https://doi.org/10.19139/soic-2310-5070-1541
Keywords: Quadratic optimization, PSO, Ranking function, Triangular fuzzy numbers, Optimal diet,, Glycemic load

Abstract

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.

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Published
2023-01-23
How to Cite
El moutaouakil, K., Abdellah Ahourag, Saliha Chellak, Mouna Cheggour, Hicham Baizri, & Abdelkhalak Bahri. (2023). Quadratic Programming and Triangular Numbers Ranking to an Optimal Moroccan Diet with Minimal Glycemic Load. Statistics, Optimization & Information Computing, 11(1), 85-94. https://doi.org/10.19139/soic-2310-5070-1541
Issue
Vol 11 No 1 (2023): SI-ICECS’21
Section
Research Articles
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