A Multiobjective Diet Planning Model for Diabetic Patients in the Moroccan Health Context Using Particle Swarm Intelligence

Authors

  • Abdellah Ahourag Engineering Science Laboratory, Faculty Polydisciplinary of Taza, Sidi Mohamed Ben Abellah University, Morocco
  • Karim El Moutaouakil
  • Bader Elkari
  • Aayah Hammouni
  • Loubna Ourabah
  • Saliha Chellak

DOI:

https://doi.org/10.19139/soic-2310-5070-1947

Abstract

Recommended diets have a central role to play in creating a healthy dietary environment that enables populations to adopt and maintain health-promoting dietary practices. It’s well known that foods with a low glycemic load (GL) help release a concentration of glucose in the blood, These can contribute to the prevention of various glycemia-elated health problems. We aim to address an optimization model for diets in the Moroccan context that controls both glycemic load and total meal costs. The application of a multiple objective particle swarm method which aggregates the problem’s restrictions with optimized objectives functions helps maintain dietary diversity and facilitates the search for trade-offs between objectives and problem-specific requirements.

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Published

2024-02-21

How to Cite

Ahourag, A., El Moutaouakil, K., Elkari, B., Hammouni, A. ., Ourabah, L. ., & Chellak, S. . (2024). A Multiobjective Diet Planning Model for Diabetic Patients in the Moroccan Health Context Using Particle Swarm Intelligence. Statistics, Optimization & Information Computing, 12(3), 605–616. https://doi.org/10.19139/soic-2310-5070-1947

Issue

Vol. 12 No. 3 (2024): ICECS’23

Section

Research Articles

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