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

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 contribu...

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Published inStatistics, optimization & information computing Vol. 12; no. 3; pp. 605 - 616
Main Authors Ahourag, Abdellah, El Moutaouakil, Karim, Elkari, Bader, Hammouni, Aayah, Ourabah, Loubna, Chellak, Saliha
Format Journal Article
LanguageEnglish
Published 21.02.2024
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Summary: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.
ISSN:2311-004X
2310-5070
DOI:10.19139/soic-2310-5070-1947